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4ee2f49044976a925fe5e0fd60a4c5f3af0d0265 | d8820d2c92be8052d13f9c8f8c483a6e15c5f566 | /src/M40001/Partition_iso_equiv_class/Partition_iso_equiv_class.lean | e868377ecedd11e702cecaef80509e3ea762e4f1 | [] | no_license | JasonKYi/M4000x_LEAN_formalisation | 4a19b84f6d0fe2e214485b8532e21cd34996c4b1 | 6e99793f2fcbe88596e27644f430e46aa2a464df | refs/heads/master | 1,599,755,414,708 | 1,589,494,604,000 | 1,589,494,604,000 | 221,759,483 | 8 | 1 | null | 1,589,494,605,000 | 1,573,755,201,000 | Lean | UTF-8 | Lean | false | false | 1,675 | lean | import M40001.M40001_4
import data.equiv.basic
namespace M40001
-- set_option pp.notation false
lemma left_inv_iff_lem (X : Type*) :
∀ r s : ↥{R : bin_rel X | equivalence R}, (∀ x y : X, r.1 x y ↔ s.1 x y) ↔ s = r :=
begin
intros r s,
split,
{intro h,
cases r, cases s,
rw subtype.ext,
dsimp,
ext, from (h x x_1).symm,
},
{intros h x y,
rw h
}
end
def tricky (X : Type*) : {R : bin_rel X | equivalence R} ≃ {A : set (set X) | partition A} :=
{ to_fun := λ r, ⟨{a : set X | ∃ s : X, a = cls r.1 s}, equiv_relation_partition r.1 r.2⟩,
inv_fun := λ a, ⟨rs a.1, partition_equiv_relation a.1 a.2 ⟩,
left_inv :=
begin
intro r,
rcases r.2 with ⟨rrefl, ⟨rsymm, rtran⟩⟩,
rw ←left_inv_iff_lem,
intros x y,
split,
{intro h, simp,
use cls r.val x,
split,
{use x},
{split, apply rrefl, from h
},
},
{intro h, simp at h,
rcases h with ⟨B, ⟨⟨z, hb⟩, ⟨xB, yB⟩⟩⟩,
unfold cls at hb,
have h1 : r.val x z, by {apply rsymm, rw hb at xB, rwa set.mem_set_of_eq at xB},
have h2 : r.val z y, by {rw hb at yB, rwa set.mem_set_of_eq at yB},
from rtran x z y ⟨h1, h2⟩
}
end,
right_inv :=
begin
unfold function.right_inverse,
unfold function.left_inverse,
intro b, simp,
unfold cls,
rw subtype.ext,
ext,
split,
{rintro ⟨s, h⟩,
rw h,
have h1 : equivalence (rs (b.val)) := partition_equiv_relation b.val b.2,
have h2 : ∀ x y : X, rs (b.val) x y = ∃ B ∈ b.val, x ∈ B ∧ y ∈ B, by {intros x y, refl},
sorry
},
sorry
end
}
end M40001 |
9b70502b2d80ab077d68b671159024115fdbd39e | abd85493667895c57a7507870867b28124b3998f | /src/data/list/zip.lean | 9eff066bc55a50d5c04771c24cb64e191b01a9c8 | [
"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 | 5,465 | lean | /-
Copyright (c) 2018 Mario Carneiro. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Mario Carneiro, Kenny Lau
-/
import data.list.basic
universes u v w z
variables {α : Type u} {β : Type v} {γ : Type w} {δ : Type z}
open nat
namespace list
/- 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)]
@[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]
end list
|
fcc43ba4876776ab78acaf253ad0bb16e67972a3 | a0e23cfdd129a671bf3154ee1a8a3a72bf4c7940 | /tests/lean/inductionGen.lean | 37a511243ee8a104c28b44432b1e1c208b6bb3f7 | [
"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 | 1,974 | lean | inductive Vec (α : Type u) : Nat → Type u
| nil : Vec α 0
| cons : α → Vec α n → Vec α (n+1)
def Vec.map (xs : Vec α n) (f : α → β) : Vec β n :=
match xs with
| nil => nil
| cons a as => cons (f a) (map as f)
def Vec.map' (f : α → β) : Vec α n → Vec β n
| nil => nil
| cons a as => cons (f a) (map' f as)
def Vec.map2 (f : α → α → β) : Vec α n → Vec α n → Vec β n
| nil, nil => nil
| cons a as, cons b bs => cons (f a b) (map2 f as bs)
def Vec.head (xs : Vec α (n+1)) : α :=
match xs with
| cons x _ => x
theorem ex1 (xs ys : Vec α (n+1)) (h : xs = ys) : xs.head = ys.head := by
induction xs -- error, use cases
theorem ex2 (xs ys : Vec α (n+1)) (h : xs = ys) : xs.head = ys.head := by
cases xs with
| cons x xs =>
traceState -- `h` has been refined
repeat admit
inductive ExprType where
| bool : ExprType
| nat : ExprType
inductive Expr : ExprType → Type
| natVal : Nat → Expr ExprType.nat
| boolVal : Bool → Expr ExprType.bool
| eq : Expr α → Expr α → Expr ExprType.bool
| add : Expr ExprType.nat → Expr ExprType.nat → Expr ExprType.nat
def constProp : Expr α → Expr α
| Expr.add a b =>
match constProp a, constProp b with
| Expr.natVal v, Expr.natVal w => Expr.natVal (v + w)
| a, b => Expr.add a b
| e => e
abbrev denoteType : ExprType → Type
| ExprType.bool => Bool
| ExprType.nat => Nat
instance : BEq (denoteType α) where
beq a b :=
match α, a, b with
| ExprType.bool, a, b => a == b
| ExprType.nat, a, b => a == b
def eval : Expr α → denoteType α
| Expr.natVal v => v
| Expr.boolVal b => b
| Expr.eq a b => eval a == eval b
| Expr.add a b => eval a + eval b
theorem ex3 (a b : Expr α) (h : a = b) : eval (constProp a) = eval b := by
set_option trace.Meta.debug true in
induction a
traceState -- b's type must have been refined, `h` too
repeat admit
|
488d40aa0e3146fde19f0dc4c1703fac020fc774 | 4a092885406df4e441e9bb9065d9405dacb94cd8 | /src/perfectoid_space.lean | d8db0e42ee8bf16b4762962db9e1344c6c6ae283 | [
"Apache-2.0"
] | permissive | semorrison/lean-perfectoid-spaces | 78c1572cedbfae9c3e460d8aaf91de38616904d8 | bb4311dff45791170bcb1b6a983e2591bee88a19 | refs/heads/master | 1,588,841,765,494 | 1,554,805,620,000 | 1,554,805,620,000 | 180,353,546 | 0 | 1 | null | 1,554,809,880,000 | 1,554,809,880,000 | null | UTF-8 | Lean | false | false | 961 | lean | -- definitions of adic_space, preadic_space, Huber_pair etc
import topology.algebra.group
import adic_space
import Tate_ring
import power_bounded
import for_mathlib.topological_groups -- for the predicate is_complete_hausdorff
universe u
-- notation for the power bounded subring
local postfix `ᵒ` : 66 := power_bounded_subring
open nat.Prime power_bounded_subring topological_space
variable [nat.Prime] -- fix a prime p
/-- A perfectoid ring, following Fontaine Sem Bourb-/
class perfectoid_ring (R : Type u) [Huber_ring R] extends Tate_ring R : Prop :=
(complete : is_complete_hausdorff R)
(uniform : is_uniform R)
(ramified : ∃ ϖ : pseudo_uniformizer R, (ϖ^p : Rᵒ) ∣ p)
(Frob : ∀ a : Rᵒ, ∃ b : Rᵒ, (p : Rᵒ) ∣ (b^p - a : Rᵒ))
class perfectoid_space (X : Type u) extends adic_space X :=
(perfectoid_cover : ∀ x : X, ∃ (U : opens X) (A : Huber_pair) [perfectoid_ring A.R],
(x ∈ U) ∧ is_preadic_space_equiv U (Spa A))
|
708310e4f958c56b25da1edb95a2919d556b23c2 | 57c233acf9386e610d99ed20ef139c5f97504ba3 | /src/data/list/nodup.lean | 60c040c2ecf7b8c6255e596af7bdd47b9aaf7fa8 | [
"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 | 14,570 | lean | /-
Copyright (c) 2018 Mario Carneiro. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Mario Carneiro, Kenny Lau
-/
import data.list.lattice
import data.list.pairwise
import data.list.forall2
/-!
# Lists with no duplicates
`list.nodup` is defined in `data/list/defs`. In this file we prove various properties of this
predicate.
-/
universes u v
open nat function
variables {α : Type u} {β : Type v}
namespace list
@[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]
protected lemma pairwise.nodup {l : list α} {r : α → α → Prop} [is_irrefl α r] (h : pairwise r l) :
nodup l :=
h.imp $ λ a b, ne_of_irrefl
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 $ (singleton_sublist.2 al).cons_cons _)
(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)⟩
theorem nodup.nth_le_inj_iff {α : Type*} {l : list α} (h : nodup l)
{i j : ℕ} (hi : i < l.length) (hj : j < l.length) :
l.nth_le i hi = l.nth_le j hj ↔ i = j :=
⟨nodup_iff_nth_le_inj.mp h _ _ _ _, by simp {contextual := tt}⟩
lemma nodup.ne_singleton_iff {l : list α} (h : nodup l) (x : α) :
l ≠ [x] ↔ l = [] ∨ ∃ y ∈ l, y ≠ x :=
begin
induction l with hd tl hl,
{ simp },
{ specialize hl (nodup_of_nodup_cons h),
by_cases hx : tl = [x],
{ simpa [hx, and.comm, and_or_distrib_left] using h },
{ rw [←ne.def, hl] at hx,
rcases hx with rfl | ⟨y, hy, hx⟩,
{ simp },
{ have : tl ≠ [] := ne_nil_of_mem hy,
suffices : ∃ (y : α) (H : y ∈ hd :: tl), y ≠ x,
{ simpa [ne_nil_of_mem hy] },
exact ⟨y, mem_cons_of_mem _ hy, hx⟩ } } }
end
lemma nth_le_eq_of_ne_imp_not_nodup (xs : list α) (n m : ℕ) (hn : n < xs.length)
(hm : m < xs.length) (h : xs.nth_le n hn = xs.nth_le m hm) (hne : n ≠ m) :
¬ nodup xs :=
begin
rw nodup_iff_nth_le_inj,
simp only [exists_prop, exists_and_distrib_right, not_forall],
exact ⟨n, m, ⟨hn, hm, h⟩, hne⟩
end
@[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
theorem nodup_repeat (a : α) : ∀ {n : ℕ}, nodup (repeat a n) ↔ n ≤ 1
| 0 := by simp [nat.zero_le]
| 1 := by simp
| (n+2) := iff_of_false
(λ H, nodup_iff_sublist.1 H a ((repeat_sublist_repeat _).2 (nat.le_add_left 2 n)))
(not_le_of_lt $ nat.le_add_left 2 n)
@[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_append_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 inj_on_of_nodup_map {f : α → β} {l : list α} (d : nodup (map f l)) :
∀ ⦃x⦄, x ∈ l → ∀ ⦃y⦄, y ∈ l → f x = f y → x = y :=
begin
induction l with hd tl ih,
{ simp },
{ simp only [map, nodup_cons, mem_map, not_exists, not_and, ←ne.def] at d,
rintro _ (rfl | h₁) _ (rfl | h₂) h₃,
{ refl },
{ apply (d.1 _ h₂ h₃.symm).elim },
{ apply (d.1 _ h₁ h₃).elim },
{ apply ih d.2 h₁ h₂ h₃ } }
end
theorem nodup_map_iff_inj_on {f : α → β} {l : list α} (d : nodup l) :
nodup (map f l) ↔ (∀ (x ∈ l) (y ∈ l), f x = f y → x = y) :=
⟨inj_on_of_nodup_map, λ h, nodup_map_on h 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]
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 nodup_diff [decidable_eq α] : ∀ {l₁ l₂ : list α} (h : l₁.nodup), (l₁.diff l₂).nodup
| l₁ [] h := h
| l₁ (a::l₂) h := by rw diff_cons; exact nodup_diff (nodup_erase_of_nodup _ h)
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 (left_inverse.injective (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]
lemma nodup_sublists_len {α : Type*} (n) {l : list α}
(nd : nodup l) : (sublists_len n l).nodup :=
nodup_of_sublist (sublists_len_sublist_sublists' _ _) (nodup_sublists'.2 nd)
lemma diff_eq_filter_of_nodup [decidable_eq α] :
∀ {l₁ l₂ : list α} (hl₁ : l₁.nodup), l₁.diff l₂ = l₁.filter (∉ l₂)
| l₁ [] hl₁ := by simp
| l₁ (a::l₂) hl₁ :=
begin
rw [diff_cons, diff_eq_filter_of_nodup (nodup_erase_of_nodup _ hl₁),
nodup_erase_eq_filter _ hl₁, filter_filter],
simp only [mem_cons_iff, not_or_distrib, and.comm]
end
lemma mem_diff_iff_of_nodup [decidable_eq α] {l₁ l₂ : list α} (hl₁ : l₁.nodup) {a : α} :
a ∈ l₁.diff l₂ ↔ a ∈ l₁ ∧ a ∉ l₂ :=
by rw [diff_eq_filter_of_nodup hl₁, mem_filter]
lemma nodup_update_nth : ∀ {l : list α} {n : ℕ} {a : α} (hl : l.nodup) (ha : a ∉ l),
(l.update_nth n a).nodup
| [] n a hl ha := nodup_nil
| (b::l) 0 a hl ha := nodup_cons.2 ⟨mt (mem_cons_of_mem _) ha, (nodup_cons.1 hl).2⟩
| (b::l) (n+1) a hl ha := nodup_cons.2
⟨λ h, (mem_or_eq_of_mem_update_nth h).elim
(nodup_cons.1 hl).1
(λ hba, ha (hba ▸ mem_cons_self _ _)),
nodup_update_nth (nodup_cons.1 hl).2 (mt (mem_cons_of_mem _) ha)⟩
lemma nodup.map_update [decidable_eq α] {l : list α} (hl : l.nodup) (f : α → β) (x : α) (y : β) :
l.map (function.update f x y) =
if x ∈ l then (l.map f).update_nth (l.index_of x) y else l.map f :=
begin
induction l with hd tl ihl, { simp },
rw [nodup_cons] at hl,
simp only [mem_cons_iff, map, ihl hl.2],
by_cases H : hd = x,
{ subst hd,
simp [update_nth, hl.1] },
{ simp [ne.symm H, H, update_nth, ← apply_ite (cons (f hd))] }
end
lemma nodup.pairwise_of_forall_ne {l : list α} {r : α → α → Prop}
(hl : l.nodup) (h : ∀ (a ∈ l) (b ∈ l), a ≠ b → r a b) : l.pairwise r :=
begin
classical,
refine pairwise_of_reflexive_on_dupl_of_forall_ne _ h,
intros x hx,
rw nodup_iff_count_le_one at hl,
exact absurd (hl x) hx.not_le
end
lemma nodup.pairwise_of_set_pairwise {l : list α} {r : α → α → Prop}
(hl : l.nodup) (h : {x | x ∈ l}.pairwise r) : l.pairwise r :=
hl.pairwise_of_forall_ne h
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
|
3d01a026a31efe2735d502a8b42b942e055bc68d | 2385ce0e3b60d8dbea33dd439902a2070cca7a24 | /tests/lean/induction_naming.lean | 66b8169f36d9b4d48c569aa9eff7b4f4b05d7d39 | [
"Apache-2.0"
] | permissive | TehMillhouse/lean | 68d6fdd2fb11a6c65bc28dec308d70f04dad38b4 | 6bbf2fbd8912617e5a973575bab8c383c9c268a1 | refs/heads/master | 1,620,830,893,339 | 1,515,592,479,000 | 1,515,592,997,000 | 116,964,828 | 0 | 0 | null | 1,515,592,734,000 | 1,515,592,734,000 | null | UTF-8 | Lean | false | false | 501 | lean | example (a b : nat) : a + b = b + a :=
begin
cases a,
trace_state, /- `a` was used to name constructor field -/
repeat { sorry }
end
example (a b : nat) : a + b = b + a :=
begin
induction a,
trace_state, /- `a_n` and `a_ih` were used to name constructor fields -/
repeat { sorry }
end
set_option tactic.induction.concat_names false
example (a b : nat) : a + b = b + a :=
begin
induction a,
trace_state, /- `n` and `ih` were used to name constructor fields -/
repeat { sorry }
end
|
b1c50228e736de05d63e776bd5ab5cc8f53825a3 | 5f83eb0c32f15aeed5993a3ad5ededb6f31fe7aa | /lean/attic/bitvec-nat.lean | b4415673ca8552bb5bd0bf4803d7254e2634f25c | [] | no_license | uw-unsat/jitterbug | 45b54979b156c0f5330012313052f8594abd6f14 | 78d1e75ad506498b585fbac66985ff9d9d05952d | refs/heads/master | 1,689,066,921,433 | 1,687,061,448,000 | 1,688,415,161,000 | 244,440,882 | 46 | 5 | null | null | null | null | UTF-8 | Lean | false | false | 16,039 | lean | -- Theorems for axiomatization:
-- bvmul_comm, bvmulhu_comm, bvmul_decomp, bvurem_of_bvsub_bvmul_bvudiv
--
-- The theorems prove that both bvmul and bvmulhu are commutative,
-- that 64-bit bvmul can be decomposed into 32-bit operations, and
-- that bvurem can be computed using bvsub, bvmul, and bvudiv.
--
-- They are used by bvaxiom.rkt to replace bitvector primitives with
-- uninterpreted functions.
--
-- One can check the proofs using the Lean theorem prover 3.x:
-- https://leanprover.github.io
-- This file represents a bitvec as a pair of nat and range.
import ..natutil
def bitvector (n : ℕ) := { x : ℕ // x < 2^n }
namespace bitvector
variable {n : ℕ}
instance decidable_eq : decidable_eq (bitvector n) :=
by apply_instance
@[simp] def to_nat (v : bitvector n) : ℕ := v.1
theorem eq : ∀ (v₁ v₂ : bitvector n), to_nat v₁ = to_nat v₂ → v₁ = v₂
| ⟨_, _⟩ ⟨_, _⟩ rfl := rfl
@[reducible] def length (v : bitvector n) : ℕ := n
theorem modulus_pos : 0 < 2^n :=
have 0 < 2, by { apply nat.le_succ },
nat.pos_pow_of_pos n this.
theorem modulus_ge_one : 1 ≤ 2^n :=
by { apply modulus_pos }.
theorem modulus_le {n m : ℕ} : n ≤ m → 2^n ≤ 2^m :=
have 0 < 2, { apply nat.le_succ },
nat.pow_le_pow_of_le_right this.
theorem modulus_lt {n m : ℕ} : n < m → 2^n < 2^m :=
have 1 < 2, { apply nat.lt_succ_self },
nat.pow_lt_pow_of_lt_right this.
theorem modulus_le_add_right (n m : ℕ) : 2^m ≤ 2^(n + m) :=
begin
apply modulus_le,
apply nat.le_add_left
end
theorem umax_lt_modulus : 2^n - 1 < 2^n :=
begin
apply nat.sub_lt_of_pos_le,
apply nat.lt_succ_self,
apply modulus_ge_one
end
theorem mod_modulus_range (x : ℕ) : x % 2^n < 2^n :=
nat.mod_lt x modulus_pos
theorem modulus_le_of_lt {x : ℕ}: x < 2^n → x ≤ 2^n - 1 :=
begin
rw ← nat.add_le_to_le_sub _ modulus_ge_one,
apply nat.succ_le_of_lt
end
theorem modulus_add_mul (n m : ℕ) : 2^(n + m) = 2^n * 2^m :=
nat.pow_add_mul 2 n m
theorem modulus_sub_div {n m : ℕ} (H : m ≤ n) : 2^(n - m) = 2^n / 2^m :=
(nat.pow_sub_div (nat.zero_lt_succ 1) H)
theorem modulus_sub_mul {n m : ℕ} (H : m ≤ n) : 2^n = 2^(n - m) * 2^m :=
calc
2^n = 2^(n - m + m) : by rw nat.sub_add_cancel H
... = 2^(n - m) * 2^m : by rw modulus_add_mul
theorem modulus_dvd {n m : ℕ} (H : m ≤ n) : 2^m ∣ 2^n :=
begin
apply nat.dvd_of_mod_eq_zero,
rw modulus_sub_mul H,
apply nat.mul_mod_left
end
def of_nat (n x : ℕ) : bitvector n :=
⟨ x % 2^n, by { apply mod_modulus_range } ⟩
@[reducible] protected def zero (n : ℕ) : bitvector n :=
⟨ 0, modulus_pos ⟩
@[reducible] protected def one (n : ℕ) : bitvector n :=
⟨ 1 % 2^n, mod_modulus_range 1 ⟩
@[reducible] protected def umax (n : ℕ) : bitvector n :=
⟨ 2^n - 1, umax_lt_modulus ⟩
instance : has_zero (bitvector n) := ⟨bitvector.zero n⟩
instance : has_one (bitvector n) := ⟨bitvector.one n⟩
protected def add (x y : bitvector n) : bitvector n := of_nat n (to_nat x + to_nat y)
instance : has_add (bitvector n) := ⟨bitvector.add⟩
protected lemma add_comm : ∀ a b : bitvector n, a + b = b + a :=
begin
intros,
unfold has_add.add,
unfold bitvector.add,
rw [add_comm]
end
protected lemma add_zero : ∀ a : bitvector n, a + 0 = a :=
begin
intros,
apply bitvector.eq,
cases a,
apply nat.mod_eq_of_lt,
assumption
end
protected lemma zero_add (a : bitvector n) : 0 + a = a :=
bitvector.add_comm a 0 ▸ bitvector.add_zero a
protected lemma add_assoc : ∀ a b c : bitvector n, a + b + c = a + (b + c) :=
begin
intros,
apply bitvector.eq,
cases a,
cases b,
cases c,
unfold has_add.add,
unfold bitvector.add of_nat,
simp [nat.add_mod_self_right],
end
protected def mul (x y : bitvector n) : bitvector n := of_nat n (to_nat x * to_nat y)
instance : has_mul (bitvector n) := ⟨bitvector.mul⟩
protected lemma mul_comm : ∀ a b : bitvector n, a * b = b * a :=
begin
intros,
unfold has_mul.mul,
unfold bitvector.mul,
rw mul_comm
end
protected lemma mul_one : ∀ (a : bitvector n), a * 1 = a :=
begin
intros,
apply bitvector.eq,
cases a,
unfold has_mul.mul has_one.one,
unfold bitvector.mul of_nat,
simp,
cases n,
{ simp at *,
symmetry,
apply nat.eq_zero_of_lt_one,
assumption },
{ rw (@nat.mod_eq_of_lt 1),
{ simp,
apply nat.mod_eq_of_lt,
assumption },
{ calc
1 = 2^0 : by simp
... < 2^(nat.succ n) : by { apply nat.pow_lt_pow_of_lt_right, apply nat.lt_succ_self, apply nat.zero_lt_succ }
} }
end
protected lemma one_mul (a : bitvector n) : 1 * a = a :=
bitvector.mul_comm a 1 ▸ bitvector.mul_one a
protected lemma mul_assoc : ∀ a b c : (bitvector n), a * b * c = a * (b * c) :=
begin
intros,
apply bitvector.eq,
cases a,
cases b,
cases c,
unfold has_mul.mul,
unfold bitvector.mul of_nat,
simp [nat.mul_mod_self_left, nat.mul_mod_self_right, mul_assoc]
end
protected lemma distrib_left : ∀ a b c : (bitvector n), a * (b + c) = a * b + a * c :=
begin
intros,
apply bitvector.eq,
cases a,
cases b,
cases c,
unfold has_mul.mul has_add.add,
unfold bitvector.mul bitvector.add of_nat,
simp [nat.mul_mod_self_right, nat.left_distrib],
rw nat.add_mod
end
protected lemma distrib_right (a b c : bitvector n) : (a + b) * c = a * c + b * c :=
begin
rw [bitvector.mul_comm, bitvector.distrib_left],
simp [bitvector.mul_comm]
end
protected def neg (x : bitvector n) : bitvector n := of_nat n (2^n - to_nat x)
instance : has_neg (bitvector n) := ⟨bitvector.neg⟩
protected lemma add_left_neg : ∀ a : (bitvector n), -a + a = 0 :=
begin
intros,
apply bitvector.eq,
cases a,
unfold has_add.add has_neg.neg has_zero.zero,
unfold bitvector.add bitvector.neg of_nat,
simp,
rw nat.add_mod_self_right,
rw ← nat.add_sub_assoc,
{ rw ← nat.sub_add_eq_add_sub,
{ simp [nat.sub_self] },
{ apply le_refl } },
{ apply le_of_lt,
assumption }
end
instance : comm_ring (bitvector n) :=
{ add := bitvector.add,
add_assoc := bitvector.add_assoc,
zero := 0,
zero_add := bitvector.zero_add,
add_zero := bitvector.add_zero,
neg := bitvector.neg,
add_left_neg := bitvector.add_left_neg,
add_comm := bitvector.add_comm,
mul := bitvector.mul,
mul_assoc := bitvector.mul_assoc,
one := 1,
one_mul := bitvector.one_mul,
mul_one := bitvector.mul_one,
left_distrib := bitvector.distrib_left,
right_distrib := bitvector.distrib_right,
mul_comm := bitvector.mul_comm }
-- Don't use nat.sub, where x - y is defined to be 0 if x < y
protected def sub (x y : bitvector n) : bitvector n := bitvector.add x (bitvector.neg y)
instance : has_sub (bitvector n) := ⟨bitvector.sub⟩
-- x % 0 = -1 (be careful: nat.div produces 0 in this case)
def udiv : bitvector n → bitvector n → bitvector n
| ⟨ x₁, p₁ ⟩ ⟨ x₂, p₂ ⟩ :=
⟨ if x₂ = 0 then 2^n - 1 else x₁ / x₂, by
{ cases x₂,
{ simp [umax_lt_modulus] },
{ rw [if_neg],
{ apply lt_of_le_of_lt, apply nat.div_le_self, assumption },
{ apply nat.succ_ne_zero } } } ⟩
-- x % 0 = x (nat.mod has the same behavior)
def urem : bitvector n → bitvector n → bitvector n
| ⟨ x₁, p₁ ⟩ ⟨ x₂, p₂ ⟩ :=
⟨ x₁ % x₂, by { apply lt_of_le_of_lt, apply nat.mod_le, assumption } ⟩
def zext {n m : ℕ} (H : n ≤ m) : bitvector n → bitvector m
| ⟨ x, p ⟩ :=
⟨ x, by { apply nat.lt_of_lt_of_le p, apply modulus_le H } ⟩
def concat {n m : ℕ} : bitvector n → bitvector m → bitvector (n + m)
| ⟨ x₁, p₁ ⟩ ⟨ x₂, p₂ ⟩ :=
have x₁ * 2^m ≤ (2^n - 1) * 2^m, by { apply nat.mul_le_mul_right, apply modulus_le_of_lt p₁ },
have x₁ * 2^m + x₂ < 2^(n + m), by calc
x₁ * 2^m + x₂ ≤ (2^n - 1) * 2^m + x₂ : by { apply nat.add_le_add_right this }
... = 2^(n + m) - 2^m + x₂ : by simp [nat.mul_sub_right_distrib, modulus_add_mul]
... < 2^(n + m) - 2^m + 2^m : by { apply nat.add_lt_add_left p₂ }
... = 2^(n + m) : by { apply nat.sub_add_cancel, apply modulus_le_add_right },
⟨ x₁ * 2^m + x₂, this ⟩
-- An alternative definition for extract.
def trunc (i m : ℕ) : bitvector n → bitvector m
| ⟨ x, p ⟩ :=
⟨ (x / 2^i) % 2^m, by { apply mod_modulus_range } ⟩
theorem concat_trunc {n m : ℕ} (x : bitvector (n + m)) : concat (trunc m n x) (trunc 0 m x) = x :=
begin
apply bitvector.eq,
cases x with x hx,
unfold trunc,
unfold concat,
simp,
rw @nat.mod_eq_of_lt _ (2^n),
rw [mul_comm, nat.mod_add_div],
rw nat.div_lt_iff_lt_mul,
rw modulus_add_mul at hx,
apply hx,
apply modulus_pos
end
theorem trunc_concat {n m : ℕ} (x : bitvector n) (y : bitvector m) : trunc 0 m (concat x y) = y :=
begin
apply bitvector.eq,
cases x with x hx,
cases y with y hy,
unfold concat,
unfold trunc,
simp,
rw nat.mod_eq_of_lt,
apply hy
end
end bitvector
open bitvector
open nat
-- (bveq (bvmul (extract 31 0 x) (extract 31 0 y))
-- (extract 31 0 (bvmul x y)))
theorem mul_extract {n m : ℕ} (x y : bitvector n) (H : m ≤ n) :
(trunc 0 m x) * (trunc 0 m y) = (trunc 0 m (x * y)) :=
begin
apply bitvector.eq,
cases x,
cases y,
unfold has_mul.mul,
unfold bitvector.mul,
unfold of_nat,
unfold trunc,
simp,
rw ← mul_mod,
rw dvd_mod_mod,
apply modulus_dvd H,
end
theorem mullu_extract {n : ℕ} (x₁ x₀ y₁ y₀ : bitvector n) :
x₀ * y₀ =
trunc 0 n ((concat x₁ x₀) * (concat y₁ y₀)) :=
begin
intros,
rw ← mul_extract (concat x₁ x₀) (concat y₁ y₀),
simp [trunc_concat],
apply nat.le_add_right
end
theorem bvadd_of_nat (n a b : ℕ):
bitvector.add (of_nat n a) (of_nat n b) = of_nat n (a + b) :=
begin
apply bitvector.eq,
unfold bitvector.add,
unfold of_nat,
simp,
rw ← add_mod
end
-- common operations
def zext_double {n : ℕ} (x : bitvector n) : bitvector (n + n) :=
zext (nat.le_add_right n n) x.
def bvmulhu {n : ℕ} (x y : bitvector n) : bitvector n :=
trunc n n ((zext_double x) * (zext_double y)).
theorem bvmulhu_comm {n : ℕ} (x y : bitvector n) : bvmulhu x y = bvmulhu y x :=
begin
unfold bvmulhu,
rw mul_comm
end
-- (bveq (bvadd (extract 63 32 (bvmul (zero-extend x0 (bitvector 64))
-- (zero-extend y0 (bitvector 64))))
-- (bvadd (bvmul x0 y1)
-- (bvmul x1 y0)))
-- (extract 63 32 (bvmul (concat x1 x0) (concat y1 y0))))
lemma mod_mul_div (x y : ℕ) : x % (y * y) / y = x / y % y :=
begin
cases nat.eq_zero_or_pos y with h h,
{ rw h, rw nat.mod_zero, repeat { rw nat.div_zero } },
calc
x % (y * y) / y = (x % y + y * (x / y % y)) / y : by rw mod_mul
... = (x % y / y + x / y % y) : by rw nat.add_mul_div_left _ _ h
... = x / y % y : by simp [mod_div _ h]
end
lemma trunc_bvmul_zext {n : ℕ} {x y : bitvector n} :
trunc n n (bitvector.mul (zext_double x) (zext_double y)) = of_nat n ((to_nat x * to_nat y) / 2^n) :=
begin
apply bitvector.eq,
cases x with _ _,
cases y with _ _,
unfold zext_double,
unfold zext,
unfold bitvector.mul,
unfold of_nat,
unfold trunc,
simp,
rw modulus_add_mul,
rw mod_mul_div,
rw mod_mod
end
lemma bvadd_bvmul {n : ℕ} (x y z w : bitvector n) :
bitvector.add (bitvector.mul x y) (bitvector.mul z w) = of_nat n (to_nat x * to_nat y + to_nat z * to_nat w) :=
begin
apply bitvector.eq,
cases x with _ _,
cases y with _ _,
cases z with _ _,
cases w with _ _,
unfold bitvector.mul,
unfold bitvector.add,
unfold of_nat,
simp,
rw ← add_mod
end
lemma trunc_bvmul_high {n : ℕ} (x y : bitvector (n + n)) :
trunc n n (bitvector.mul x y) = of_nat n ((to_nat x * to_nat y) / 2^n) :=
begin
apply bitvector.eq,
cases x with _ _,
cases y with _ _,
unfold bitvector.mul,
unfold of_nat,
unfold trunc,
simp,
rw modulus_add_mul,
rw mod_mul_div,
rw mod_mod
end
lemma mul_comm_3 (x y z : ℕ) : x * y * z = x * z * y :=
calc
x * y * z = x * (y * z) : by rw mul_assoc
... = x * (z * y) : by rw mul_comm y z
... = x * z * y : by rw ← mul_assoc
lemma two_distrib {n : ℕ} (H : n > 0) (x y z w : ℕ):
(x + y * n) * (z + w * n) / n = y * w * n + (x * w + ((y * z) + (x * z / n))) :=
calc
(x + y * n) * (z + w * n) / n = (y * n + x) * (w * n + z) / n : by rw [add_comm x, add_comm z]
... = (y * n * (w * n) + x * (w * n) + (y * n * z + x * z)) / n : by rw [left_distrib, right_distrib, right_distrib]
... = (y * w * n * n + x * (w * n) + (y * n * z + x * z)) / n : by rw [mul_comm_3 y n (w * n), ← mul_assoc]
... = (y * w * n * n + (x * w * n + (y * n * z + x * z))) / n : by rw [add_assoc, ← mul_assoc]
... = (y * w * n * n + (x * w * n + (y * z * n + x * z))) / n : by rw mul_comm_3 y n z
... = y * w * n + (x * w + ((y * z) + (x * z / n))) : by rw [mul_add_div_right _ _ H, mul_add_div_right _ _ H, mul_add_div_right _ _ H]
lemma mulhu_extract {n : ℕ} (x₁ x₀ y₁ y₀ : bitvector n) :
(bvmulhu x₀ y₀) + (x₀ * y₁ + x₁ * y₀) =
trunc n n (bitvector.mul (concat x₁ x₀) (concat y₁ y₀)) :=
begin
unfold bvmulhu,
unfold has_add.add has_mul.mul,
rw trunc_bvmul_zext,
rw bvadd_bvmul,
rw bvadd_of_nat,
rw trunc_bvmul_high,
cases x₀,
cases x₁,
cases y₀,
cases y₁,
unfold concat,
unfold of_nat,
apply bitvector.eq,
simp,
rw two_distrib modulus_pos,
rw nat.mul_add_mod_self_right
end
-- (bveq (concat (bvadd (bvmulhu x0 y0)
-- (bvadd (bvmul x0 y1) (bvmul x1 y0)))
-- (bvmul x0 y0))
-- (bvmul (concat x1 x0) (concat y1 y0)))
theorem bvmul_decomp' {n : ℕ} (x₁ x₀ y₁ y₀ : bitvector n) :
concat ((bvmulhu x₀ y₀) + (x₀ * y₁ + x₁ * y₀)) (x₀ * y₀) = (concat x₁ x₀) * (concat y₁ y₀) :=
begin
intros,
rw mulhu_extract,
rw mullu_extract x₁ x₀ y₁ y₀,
apply concat_trunc
end
-- (bveq (concat (bvadd (bvmulhu (extract 31 0 x) (extract 31 0 y))
-- (bvadd (bvmul (extract 31 0 x) (extract 63 32 y))
-- (bvmul (extract 63 32 x) (extract 31 0 y))))
-- (bvmul (extract 31 0 x) (extract 31 0 y)))
-- (bvmul x y))
theorem bvmul_decomp {n : ℕ} (x y : bitvector (n + n)) :
let x₀ := (trunc 0 n x),
x₁ := (trunc n n x),
y₀ := (trunc 0 n y),
y₁ := (trunc n n y) in
concat ((bvmulhu x₀ y₀) + (x₀ * y₁ + x₁ * y₀)) (x₀ * y₀) = x * y :=
begin
intros,
simp [bvmul_decomp', concat_trunc]
end
-- x % y = x - (x / y) * y
-- One can also prove this using SMT in lemmas.rkt.
theorem bvurem_of_bvsub_bvmul_bvudiv {n : ℕ} (x y : bitvector n) :
bitvector.urem x y = x - (bitvector.udiv x y) * y :=
begin
apply bitvector.eq,
cases x with x hx,
cases y with y hy,
unfold has_sub.sub has_mul.mul,
unfold bitvector.urem,
unfold bitvector.sub bitvector.add bitvector.neg,
unfold bitvector.mul,
unfold bitvector.udiv,
unfold of_nat,
simp,
cases y,
{ simp, rw [nat.mod_eq_of_lt], assumption },
{ rw [if_neg],
{ generalize : nat.succ y = k,
rw add_mod_self_right,
have h : x / k * k < 2^n,
{ apply lt_of_le_of_lt, apply nat.div_mul_le_self, assumption },
rw (nat.mod_eq_of_lt h),
calc
x % k = x - x / k * k : by { rw mul_comm, apply mod_sub_div }
... = (x - x / k * k) % 2^n : by { rw nat.mod_eq_of_lt, apply lt_of_le_of_lt, apply nat.sub_le, assumption }
... = (x - x / k * k + 2^n) % 2^n : by { rw nat.add_mod_right }
... = (x + 2^n - x / k * k) % 2^n : by { rw nat.sub_add_eq_add_sub, apply nat.div_mul_le_self }
... = (x + (2^n - x / k * k)) % 2^n : by { rw nat.add_sub_assoc, apply le_of_lt, assumption }
},
{ apply nat.succ_ne_zero } }
end
|
a9c3b49577a763483753a09fffd81a58a9b42182 | 4fa161becb8ce7378a709f5992a594764699e268 | /src/data/nat/basic.lean | 02f2e4b401b259051c73655b0ec8727b8df1d334 | [
"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 | 62,855 | lean | /-
Copyright (c) 2014 Floris van Doorn. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Floris van Doorn, Leonardo de Moura, Jeremy Avigad, Mario Carneiro
-/
import algebra.ordered_ring
import algebra.order_functions
import init_.data.nat.lemmas
/-!
# Basic operations on the natural numbers
This files has some basic lemmas about natural numbers, definition of the `choice` function,
and extra recursors:
* `le_rec_on`, `le_induction`: recursion and induction principles starting at non-zero numbers.
* `decreasing_induction` : recursion growing downwards.
* `strong_rec'` : recursion based on strong inequalities.
-/
universes u v
attribute [protected] nat.pow_zero nat.pow_succ
instance : canonically_ordered_comm_semiring ℕ :=
{ le_iff_exists_add := assume a b,
⟨assume h, let ⟨c, hc⟩ := nat.le.dest h in ⟨c, hc.symm⟩,
assume ⟨c, hc⟩, hc.symm ▸ nat.le_add_right _ _⟩,
zero_ne_one := ne_of_lt zero_lt_one,
mul_eq_zero_iff := assume a b,
iff.intro nat.eq_zero_of_mul_eq_zero (by simp [or_imp_distrib] {contextual := tt}),
bot := 0,
bot_le := nat.zero_le,
.. (infer_instance : ordered_add_comm_monoid ℕ),
.. (infer_instance : linear_ordered_semiring ℕ),
.. (infer_instance : comm_semiring ℕ) }
namespace nat
variables {m n k : ℕ}
-- Sometimes a bare `nat.add` or similar appears as a consequence of unfolding
-- during pattern matching. These lemmas package them back up as typeclass
-- mediated operations.
@[simp] theorem add_def {a b : ℕ} : nat.add a b = a + b := rfl
@[simp] theorem mul_def {a b : ℕ} : nat.mul a b = a * b := rfl
attribute [simp] nat.add_sub_cancel nat.add_sub_cancel_left
attribute [simp] nat.sub_self
@[simp] lemma succ_pos' {n : ℕ} : 0 < succ n := succ_pos n
theorem succ_inj' {n m : ℕ} : succ n = succ m ↔ n = m :=
⟨succ.inj, congr_arg _⟩
theorem succ_le_succ_iff {m n : ℕ} : succ m ≤ succ n ↔ m ≤ n :=
⟨le_of_succ_le_succ, succ_le_succ⟩
lemma zero_max {m : nat} : max 0 m = m :=
max_eq_right (zero_le _)
theorem max_succ_succ {m n : ℕ} :
max (succ m) (succ n) = succ (max m n) :=
begin
by_cases h1 : m ≤ n,
rw [max_eq_right h1, max_eq_right (succ_le_succ h1)],
{ rw not_le at h1, have h2 := le_of_lt h1,
rw [max_eq_left h2, max_eq_left (succ_le_succ h2)] }
end
lemma not_succ_lt_self {n : ℕ} : ¬succ n < n :=
not_lt_of_ge (nat.le_succ _)
theorem lt_succ_iff {m n : ℕ} : m < succ n ↔ m ≤ n :=
succ_le_succ_iff
lemma succ_le_iff {m n : ℕ} : succ m ≤ n ↔ m < n :=
⟨lt_of_succ_le, succ_le_of_lt⟩
lemma lt_iff_add_one_le {m n : ℕ} : m < n ↔ m + 1 ≤ n :=
by rw succ_le_iff
-- Just a restatement of `nat.lt_succ_iff` using `+1`.
lemma lt_add_one_iff {a b : ℕ} : a < b + 1 ↔ a ≤ b :=
lt_succ_iff
-- A flipped version of `lt_add_one_iff`.
lemma lt_one_add_iff {a b : ℕ} : a < 1 + b ↔ a ≤ b :=
by simp only [add_comm, lt_succ_iff]
-- This is true reflexively, by the definition of `≤` on ℕ,
-- but it's still useful to have, to convince Lean to change the syntactic type.
lemma add_one_le_iff {a b : ℕ} : a + 1 ≤ b ↔ a < b :=
iff.refl _
lemma one_add_le_iff {a b : ℕ} : 1 + a ≤ b ↔ a < b :=
by simp only [add_comm, add_one_le_iff]
theorem of_le_succ {n m : ℕ} (H : n ≤ m.succ) : n ≤ m ∨ n = m.succ :=
(lt_or_eq_of_le H).imp le_of_lt_succ id
/-- Recursion starting at a non-zero number: given a map `C k → C (k+1)` for each `k`,
there is a map from `C n` to each `C m`, `n ≤ m`. -/
@[elab_as_eliminator]
def le_rec_on {C : ℕ → Sort u} {n : ℕ} : Π {m : ℕ}, n ≤ m → (Π {k}, C k → C (k+1)) → C n → C m
| 0 H next x := eq.rec_on (eq_zero_of_le_zero H) x
| (m+1) H next x := or.by_cases (of_le_succ H) (λ h : n ≤ m, next $ le_rec_on h @next x) (λ h : n = m + 1, eq.rec_on h x)
theorem le_rec_on_self {C : ℕ → Sort u} {n} {h : n ≤ n} {next} (x : C n) : (le_rec_on h next x : C n) = x :=
by cases n; unfold le_rec_on or.by_cases; rw [dif_neg n.not_succ_le_self, dif_pos rfl]
theorem le_rec_on_succ {C : ℕ → Sort u} {n m} (h1 : n ≤ m) {h2 : n ≤ m+1} {next} (x : C n) :
(le_rec_on h2 @next x : C (m+1)) = next (le_rec_on h1 @next x : C m) :=
by conv { to_lhs, rw [le_rec_on, or.by_cases, dif_pos h1] }
theorem le_rec_on_succ' {C : ℕ → Sort u} {n} {h : n ≤ n+1} {next} (x : C n) :
(le_rec_on h next x : C (n+1)) = next x :=
by rw [le_rec_on_succ (le_refl n), le_rec_on_self]
theorem le_rec_on_trans {C : ℕ → Sort u} {n m k} (hnm : n ≤ m) (hmk : m ≤ k) {next} (x : C n) :
(le_rec_on (le_trans hnm hmk) @next x : C k) = le_rec_on hmk @next (le_rec_on hnm @next x) :=
begin
induction hmk with k hmk ih, { rw le_rec_on_self },
rw [le_rec_on_succ (le_trans hnm hmk), ih, le_rec_on_succ]
end
theorem le_rec_on_succ_left {C : ℕ → Sort u} {n m} (h1 : n ≤ m) (h2 : n+1 ≤ m)
{next : Π{{k}}, C k → C (k+1)} (x : C n) :
(le_rec_on h2 next (next x) : C m) = (le_rec_on h1 next x : C m) :=
begin
rw [subsingleton.elim h1 (le_trans (le_succ n) h2),
le_rec_on_trans (le_succ n) h2, le_rec_on_succ']
end
theorem le_rec_on_injective {C : ℕ → Sort u} {n m} (hnm : n ≤ m)
(next : Π n, C n → C (n+1)) (Hnext : ∀ n, function.injective (next n)) :
function.injective (le_rec_on hnm next) :=
begin
induction hnm with m hnm ih, { intros x y H, rwa [le_rec_on_self, le_rec_on_self] at H },
intros x y H, rw [le_rec_on_succ hnm, le_rec_on_succ hnm] at H, exact ih (Hnext _ H)
end
theorem le_rec_on_surjective {C : ℕ → Sort u} {n m} (hnm : n ≤ m)
(next : Π n, C n → C (n+1)) (Hnext : ∀ n, function.surjective (next n)) :
function.surjective (le_rec_on hnm next) :=
begin
induction hnm with m hnm ih, { intros x, use x, rw le_rec_on_self },
intros x, rcases Hnext _ x with ⟨w, rfl⟩, rcases ih w with ⟨x, rfl⟩, use x, rw le_rec_on_succ
end
theorem pred_eq_of_eq_succ {m n : ℕ} (H : m = n.succ) : m.pred = n := by simp [H]
@[simp] lemma pred_eq_succ_iff {n m : ℕ} : pred n = succ m ↔ n = m + 2 :=
by cases n; split; rintro ⟨⟩; refl
theorem pred_sub (n m : ℕ) : pred n - m = pred (n - m) :=
by rw [← sub_one, nat.sub_sub, one_add]; refl
@[simp]
lemma add_succ_sub_one (n m : ℕ) : (n + succ m) - 1 = n + m :=
by rw [add_succ, succ_sub_one]
@[simp]
lemma succ_add_sub_one (n m : ℕ) : (succ n + m) - 1 = n + m :=
by rw [succ_add, succ_sub_one]
lemma pred_eq_sub_one (n : ℕ) : pred n = n - 1 := rfl
lemma one_le_of_lt {n m : ℕ} (h : n < m) : 1 ≤ m :=
lt_of_le_of_lt (nat.zero_le _) h
lemma le_pred_of_lt {n m : ℕ} (h : m < n) : m ≤ n - 1 :=
nat.sub_le_sub_right h 1
lemma le_of_pred_lt {m n : ℕ} : pred m < n → m ≤ n :=
match m with
| 0 := le_of_lt
| m+1 := id
end
/-- This ensures that `simp` succeeds on `pred (n + 1) = n`. -/
@[simp] lemma pred_one_add (n : ℕ) : pred (1 + n) = n :=
by rw [add_comm, add_one, pred_succ]
theorem pos_iff_ne_zero : 0 < n ↔ n ≠ 0 :=
⟨ne_of_gt, nat.pos_of_ne_zero⟩
lemma one_lt_iff_ne_zero_and_ne_one : ∀ {n : ℕ}, 1 < n ↔ n ≠ 0 ∧ n ≠ 1
| 0 := dec_trivial
| 1 := dec_trivial
| (n+2) := dec_trivial
theorem eq_of_lt_succ_of_not_lt {a b : ℕ} (h1 : a < b + 1) (h2 : ¬ a < b) : a = b :=
have h3 : a ≤ b, from le_of_lt_succ h1,
or.elim (eq_or_lt_of_not_lt h2) (λ h, h) (λ h, absurd h (not_lt_of_ge h3))
protected theorem le_sub_add (n m : ℕ) : n ≤ n - m + m :=
or.elim (le_total n m)
(assume : n ≤ m, begin rw [sub_eq_zero_of_le this, zero_add], exact this end)
(assume : m ≤ n, begin rw (nat.sub_add_cancel this) end)
theorem sub_add_eq_max (n m : ℕ) : n - m + m = max n m :=
eq_max (nat.le_sub_add _ _) (le_add_left _ _) $ λ k h₁ h₂,
by rw ← nat.sub_add_cancel h₂; exact
add_le_add_right (nat.sub_le_sub_right h₁ _) _
theorem add_sub_eq_max (n m : ℕ) : n + (m - n) = max n m :=
by rw [add_comm, max_comm, sub_add_eq_max]
theorem sub_add_min (n m : ℕ) : n - m + min n m = n :=
(le_total n m).elim
(λ h, by rw [min_eq_left h, sub_eq_zero_of_le h, zero_add])
(λ h, by rw [min_eq_right h, nat.sub_add_cancel h])
protected theorem add_sub_cancel' {n m : ℕ} (h : m ≤ n) : m + (n - m) = n :=
by rw [add_comm, nat.sub_add_cancel h]
protected theorem sub_eq_of_eq_add (h : k = m + n) : k - m = n :=
begin rw [h, nat.add_sub_cancel_left] end
theorem sub_cancel {a b c : ℕ} (h₁ : a ≤ b) (h₂ : a ≤ c) (w : b - a = c - a) : b = c :=
by rw [←nat.sub_add_cancel h₁, ←nat.sub_add_cancel h₂, w]
lemma sub_sub_sub_cancel_right {a b c : ℕ} (h₂ : c ≤ b) : (a - c) - (b - c) = a - b :=
by rw [nat.sub_sub, ←nat.add_sub_assoc h₂, nat.add_sub_cancel_left]
lemma add_sub_cancel_right (n m k : ℕ) : n + (m + k) - k = n + m :=
by { rw [nat.add_sub_assoc, nat.add_sub_cancel], apply k.le_add_left }
protected lemma sub_add_eq_add_sub {a b c : ℕ} (h : b ≤ a) : (a - b) + c = (a + c) - b :=
by rw [add_comm a, nat.add_sub_assoc h, add_comm]
theorem sub_min (n m : ℕ) : n - min n m = n - m :=
nat.sub_eq_of_eq_add $ by rw [add_comm, sub_add_min]
theorem sub_sub_assoc {a b c : ℕ} (h₁ : b ≤ a) (h₂ : c ≤ b) : a - (b - c) = a - b + c :=
(nat.sub_eq_iff_eq_add (le_trans (nat.sub_le _ _) h₁)).2 $
by rw [add_right_comm, add_assoc, nat.sub_add_cancel h₂, nat.sub_add_cancel h₁]
protected theorem lt_of_sub_pos (h : 0 < n - m) : m < n :=
lt_of_not_ge
(assume : n ≤ m,
have n - m = 0, from sub_eq_zero_of_le this,
begin rw this at h, exact lt_irrefl _ h end)
protected theorem lt_of_sub_lt_sub_right : m - k < n - k → m < n :=
lt_imp_lt_of_le_imp_le (λ h, nat.sub_le_sub_right h _)
protected theorem lt_of_sub_lt_sub_left : m - n < m - k → k < n :=
lt_imp_lt_of_le_imp_le (nat.sub_le_sub_left _)
protected theorem sub_lt_self (h₁ : 0 < m) (h₂ : 0 < n) : m - n < m :=
calc
m - n = succ (pred m) - succ (pred n) : by rw [succ_pred_eq_of_pos h₁, succ_pred_eq_of_pos h₂]
... = pred m - pred n : by rw succ_sub_succ
... ≤ pred m : sub_le _ _
... < succ (pred m) : lt_succ_self _
... = m : succ_pred_eq_of_pos h₁
protected theorem le_sub_right_of_add_le (h : m + k ≤ n) : m ≤ n - k :=
by rw ← nat.add_sub_cancel m k; exact nat.sub_le_sub_right h k
protected theorem le_sub_left_of_add_le (h : k + m ≤ n) : m ≤ n - k :=
nat.le_sub_right_of_add_le (by rwa add_comm at h)
protected theorem lt_sub_right_of_add_lt (h : m + k < n) : m < n - k :=
lt_of_succ_le $ nat.le_sub_right_of_add_le $
by rw succ_add; exact succ_le_of_lt h
protected theorem lt_sub_left_of_add_lt (h : k + m < n) : m < n - k :=
nat.lt_sub_right_of_add_lt (by rwa add_comm at h)
protected theorem add_lt_of_lt_sub_right (h : m < n - k) : m + k < n :=
@nat.lt_of_sub_lt_sub_right _ _ k (by rwa nat.add_sub_cancel)
protected theorem add_lt_of_lt_sub_left (h : m < n - k) : k + m < n :=
by rw add_comm; exact nat.add_lt_of_lt_sub_right h
protected theorem le_add_of_sub_le_right : n - k ≤ m → n ≤ m + k :=
le_imp_le_of_lt_imp_lt nat.lt_sub_right_of_add_lt
protected theorem le_add_of_sub_le_left : n - k ≤ m → n ≤ k + m :=
le_imp_le_of_lt_imp_lt nat.lt_sub_left_of_add_lt
protected theorem lt_add_of_sub_lt_right : n - k < m → n < m + k :=
lt_imp_lt_of_le_imp_le nat.le_sub_right_of_add_le
protected theorem lt_add_of_sub_lt_left : n - k < m → n < k + m :=
lt_imp_lt_of_le_imp_le nat.le_sub_left_of_add_le
protected theorem sub_le_left_of_le_add : n ≤ k + m → n - k ≤ m :=
le_imp_le_of_lt_imp_lt nat.add_lt_of_lt_sub_left
protected theorem sub_le_right_of_le_add : n ≤ m + k → n - k ≤ m :=
le_imp_le_of_lt_imp_lt nat.add_lt_of_lt_sub_right
protected theorem sub_lt_left_iff_lt_add (H : n ≤ k) : k - n < m ↔ k < n + m :=
⟨nat.lt_add_of_sub_lt_left,
λ h₁,
have succ k ≤ n + m, from succ_le_of_lt h₁,
have succ (k - n) ≤ m, from
calc succ (k - n) = succ k - n : by rw (succ_sub H)
... ≤ n + m - n : nat.sub_le_sub_right this n
... = m : by rw nat.add_sub_cancel_left,
lt_of_succ_le this⟩
protected theorem le_sub_left_iff_add_le (H : m ≤ k) : n ≤ k - m ↔ m + n ≤ k :=
le_iff_le_iff_lt_iff_lt.2 (nat.sub_lt_left_iff_lt_add H)
protected theorem le_sub_right_iff_add_le (H : n ≤ k) : m ≤ k - n ↔ m + n ≤ k :=
by rw [nat.le_sub_left_iff_add_le H, add_comm]
protected theorem lt_sub_left_iff_add_lt : n < k - m ↔ m + n < k :=
⟨nat.add_lt_of_lt_sub_left, nat.lt_sub_left_of_add_lt⟩
protected theorem lt_sub_right_iff_add_lt : m < k - n ↔ m + n < k :=
by rw [nat.lt_sub_left_iff_add_lt, add_comm]
theorem sub_le_left_iff_le_add : m - n ≤ k ↔ m ≤ n + k :=
le_iff_le_iff_lt_iff_lt.2 nat.lt_sub_left_iff_add_lt
theorem sub_le_right_iff_le_add : m - k ≤ n ↔ m ≤ n + k :=
by rw [nat.sub_le_left_iff_le_add, add_comm]
protected theorem sub_lt_right_iff_lt_add (H : k ≤ m) : m - k < n ↔ m < n + k :=
by rw [nat.sub_lt_left_iff_lt_add H, add_comm]
protected theorem sub_le_sub_left_iff (H : k ≤ m) : m - n ≤ m - k ↔ k ≤ n :=
⟨λ h,
have k + (m - k) - n ≤ m - k, by rwa nat.add_sub_cancel' H,
nat.le_of_add_le_add_right (nat.le_add_of_sub_le_left this),
nat.sub_le_sub_left _⟩
protected theorem sub_lt_sub_right_iff (H : k ≤ m) : m - k < n - k ↔ m < n :=
lt_iff_lt_of_le_iff_le (nat.sub_le_sub_right_iff _ _ _ H)
protected theorem sub_lt_sub_left_iff (H : n ≤ m) : m - n < m - k ↔ k < n :=
lt_iff_lt_of_le_iff_le (nat.sub_le_sub_left_iff H)
protected theorem sub_le_iff : m - n ≤ k ↔ m - k ≤ n :=
nat.sub_le_left_iff_le_add.trans nat.sub_le_right_iff_le_add.symm
protected lemma sub_le_self (n m : ℕ) : n - m ≤ n :=
nat.sub_le_left_of_le_add (nat.le_add_left _ _)
protected theorem sub_lt_iff (h₁ : n ≤ m) (h₂ : k ≤ m) : m - n < k ↔ m - k < n :=
(nat.sub_lt_left_iff_lt_add h₁).trans (nat.sub_lt_right_iff_lt_add h₂).symm
lemma pred_le_iff {n m : ℕ} : pred n ≤ m ↔ n ≤ succ m :=
@nat.sub_le_right_iff_le_add n m 1
lemma lt_pred_iff {n m : ℕ} : n < pred m ↔ succ n < m :=
@nat.lt_sub_right_iff_add_lt n 1 m
lemma lt_of_lt_pred {a b : ℕ} (h : a < b - 1) : a < b :=
lt_of_succ_lt (lt_pred_iff.1 h)
protected theorem mul_ne_zero {n m : ℕ} (n0 : n ≠ 0) (m0 : m ≠ 0) : n * m ≠ 0
| nm := (eq_zero_of_mul_eq_zero nm).elim n0 m0
@[simp] protected theorem mul_eq_zero {a b : ℕ} : a * b = 0 ↔ a = 0 ∨ b = 0 :=
iff.intro eq_zero_of_mul_eq_zero (by simp [or_imp_distrib] {contextual := tt})
@[simp] protected theorem zero_eq_mul {a b : ℕ} : 0 = a * b ↔ a = 0 ∨ b = 0 :=
by rw [eq_comm, nat.mul_eq_zero]
lemma eq_zero_of_double_le {a : ℕ} (h : 2 * a ≤ a) : a = 0 :=
nat.eq_zero_of_le_zero $
by rwa [two_mul, nat.add_le_to_le_sub, nat.sub_self] at h; refl
lemma eq_zero_of_mul_le {a b : ℕ} (hb : 2 ≤ b) (h : b * a ≤ a) : a = 0 :=
eq_zero_of_double_le $ le_trans (nat.mul_le_mul_right _ hb) h
lemma le_mul_of_pos_left {m n : ℕ} (h : 0 < n) : m ≤ n * m :=
begin
conv {to_lhs, rw [← one_mul(m)]},
exact mul_le_mul_of_nonneg_right (nat.succ_le_of_lt h) dec_trivial,
end
lemma le_mul_of_pos_right {m n : ℕ} (h : 0 < n) : m ≤ m * n :=
begin
conv {to_lhs, rw [← mul_one(m)]},
exact mul_le_mul_of_nonneg_left (nat.succ_le_of_lt h) dec_trivial,
end
theorem two_mul_ne_two_mul_add_one {n m} : 2 * n ≠ 2 * m + 1 :=
mt (congr_arg (%2)) (by rw [add_comm, add_mul_mod_self_left, mul_mod_right]; exact dec_trivial)
/-- Recursion principle based on `<`. -/
@[elab_as_eliminator]
protected def strong_rec' {p : ℕ → Sort u} (H : ∀ n, (∀ m, m < n → p m) → p n) : ∀ (n : ℕ), p n
| n := H n (λ m hm, strong_rec' m)
/-- Recursion principle based on `<` applied to some natural number. -/
@[elab_as_eliminator]
def strong_rec_on' {P : ℕ → Sort*} (n : ℕ) (h : ∀ n, (∀ m, m < n → P m) → P n) : P n :=
nat.strong_rec' h n
theorem strong_rec_on_beta' {P : ℕ → Sort*} {h} {n : ℕ} :
(strong_rec_on' n h : P n) = h n (λ m hmn, (strong_rec_on' m h : P m)) :=
by { simp only [strong_rec_on'], rw nat.strong_rec' }
attribute [simp] nat.div_self
protected lemma div_le_of_le_mul' {m n : ℕ} {k} (h : m ≤ k * n) : m / k ≤ n :=
(eq_zero_or_pos k).elim
(λ k0, by rw [k0, nat.div_zero]; apply zero_le)
(λ k0, (decidable.mul_le_mul_left k0).1 $
calc k * (m / k)
≤ m % k + k * (m / k) : le_add_left _ _
... = m : mod_add_div _ _
... ≤ k * n : h)
protected lemma div_le_self' (m n : ℕ) : m / n ≤ m :=
(eq_zero_or_pos n).elim
(λ n0, by rw [n0, nat.div_zero]; apply zero_le)
(λ n0, nat.div_le_of_le_mul' $ calc
m = 1 * m : (one_mul _).symm
... ≤ n * m : mul_le_mul_right _ n0)
/-- A version of `nat.div_lt_self` using successors, rather than additional hypotheses. -/
lemma div_lt_self' (n b : ℕ) : (n+1)/(b+2) < n+1 :=
nat.div_lt_self (nat.succ_pos n) (nat.succ_lt_succ (nat.succ_pos _))
theorem le_div_iff_mul_le' {x y : ℕ} {k : ℕ} (k0 : 0 < k) : x ≤ y / k ↔ x * k ≤ y :=
begin
revert x, refine nat.strong_rec' _ y,
clear y, intros y IH x,
cases decidable.lt_or_le y k with h h,
{ rw [div_eq_of_lt h],
cases x with x,
{ simp [zero_mul, zero_le] },
{ rw succ_mul,
exact iff_of_false (not_succ_le_zero _)
(not_le_of_lt $ lt_of_lt_of_le h (le_add_left _ _)) } },
{ rw [div_eq_sub_div k0 h],
cases x with x,
{ simp [zero_mul, zero_le] },
{ rw [← add_one, nat.add_le_add_iff_le_right, succ_mul,
IH _ (sub_lt_of_pos_le _ _ k0 h), add_le_to_le_sub _ h] } }
end
theorem div_mul_le_self' (m n : ℕ) : m / n * n ≤ m :=
(nat.eq_zero_or_pos n).elim (λ n0, by simp [n0, zero_le]) $ λ n0,
(le_div_iff_mul_le' n0).1 (le_refl _)
theorem div_lt_iff_lt_mul' {x y : ℕ} {k : ℕ} (k0 : 0 < k) : x / k < y ↔ x < y * k :=
lt_iff_lt_of_le_iff_le $ le_div_iff_mul_le' k0
protected theorem div_le_div_right {n m : ℕ} (h : n ≤ m) {k : ℕ} : n / k ≤ m / k :=
(nat.eq_zero_or_pos k).elim (λ k0, by simp [k0]) $ λ hk,
(le_div_iff_mul_le' hk).2 $ le_trans (nat.div_mul_le_self' _ _) h
lemma lt_of_div_lt_div {m n k : ℕ} (h : m / k < n / k) : m < n :=
by_contradiction $ λ h₁, absurd h (not_lt_of_ge (nat.div_le_div_right (not_lt.1 h₁)))
protected theorem eq_mul_of_div_eq_right {a b c : ℕ} (H1 : b ∣ a) (H2 : a / b = c) :
a = b * c :=
by rw [← H2, nat.mul_div_cancel' H1]
protected theorem div_eq_iff_eq_mul_right {a b c : ℕ} (H : 0 < b) (H' : b ∣ a) :
a / b = c ↔ a = b * c :=
⟨nat.eq_mul_of_div_eq_right H', nat.div_eq_of_eq_mul_right H⟩
protected theorem div_eq_iff_eq_mul_left {a b c : ℕ} (H : 0 < b) (H' : b ∣ a) :
a / b = c ↔ a = c * b :=
by rw mul_comm; exact nat.div_eq_iff_eq_mul_right H H'
protected theorem eq_mul_of_div_eq_left {a b c : ℕ} (H1 : b ∣ a) (H2 : a / b = c) :
a = c * b :=
by rw [mul_comm, nat.eq_mul_of_div_eq_right H1 H2]
protected theorem mul_div_cancel_left' {a b : ℕ} (Hd : a ∣ b) : a * (b / a) = b :=
by rw [mul_comm,nat.div_mul_cancel Hd]
protected theorem div_mod_unique {n k m d : ℕ} (h : 0 < k) :
n / k = d ∧ n % k = m ↔ m + k * d = n ∧ m < k :=
⟨λ ⟨e₁, e₂⟩, e₁ ▸ e₂ ▸ ⟨mod_add_div _ _, mod_lt _ h⟩,
λ ⟨h₁, h₂⟩, h₁ ▸ by rw [add_mul_div_left _ _ h, add_mul_mod_self_left];
simp [div_eq_of_lt, mod_eq_of_lt, h₂]⟩
lemma two_mul_odd_div_two {n : ℕ} (hn : n % 2 = 1) : 2 * (n / 2) = n - 1 :=
by conv {to_rhs, rw [← nat.mod_add_div n 2, hn, nat.add_sub_cancel_left]}
lemma div_dvd_of_dvd {a b : ℕ} (h : b ∣ a) : (a / b) ∣ a :=
⟨b, (nat.div_mul_cancel h).symm⟩
protected lemma div_pos {a b : ℕ} (hba : b ≤ a) (hb : 0 < b) : 0 < a / b :=
nat.pos_of_ne_zero (λ h, lt_irrefl a
(calc a = a % b : by simpa [h] using (mod_add_div a b).symm
... < b : nat.mod_lt a hb
... ≤ a : hba))
protected theorem mul_left_inj {a b c : ℕ} (ha : 0 < a) : b * a = c * a ↔ b = c :=
⟨nat.eq_of_mul_eq_mul_right ha, λ e, e ▸ rfl⟩
protected theorem mul_right_inj {a b c : ℕ} (ha : 0 < a) : a * b = a * c ↔ b = c :=
⟨nat.eq_of_mul_eq_mul_left ha, λ e, e ▸ rfl⟩
protected lemma div_div_self : ∀ {a b : ℕ}, b ∣ a → 0 < a → a / (a / b) = b
| a 0 h₁ h₂ := by rw eq_zero_of_zero_dvd h₁; refl
| 0 b h₁ h₂ := absurd h₂ dec_trivial
| (a+1) (b+1) h₁ h₂ :=
(nat.mul_left_inj (nat.div_pos (le_of_dvd (succ_pos a) h₁) (succ_pos b))).1 $
by rw [nat.div_mul_cancel (div_dvd_of_dvd h₁), nat.mul_div_cancel' h₁]
protected lemma div_lt_of_lt_mul {m n k : ℕ} (h : m < n * k) : m / n < k :=
lt_of_mul_lt_mul_left
(calc n * (m / n) ≤ m % n + n * (m / n) : nat.le_add_left _ _
... = m : mod_add_div _ _
... < n * k : h)
(nat.zero_le n)
lemma lt_mul_of_div_lt {a b c : ℕ} (h : a / c < b) (w : 0 < c) : a < b * c :=
lt_of_not_ge $ not_le_of_gt h ∘ (nat.le_div_iff_mul_le _ _ w).2
protected lemma div_eq_zero_iff {a b : ℕ} (hb : 0 < b) : a / b = 0 ↔ a < b :=
⟨λ h, by rw [← mod_add_div a b, h, mul_zero, add_zero]; exact mod_lt _ hb,
λ h, by rw [← nat.mul_right_inj hb, ← @add_left_cancel_iff _ _ (a % b), mod_add_div,
mod_eq_of_lt h, mul_zero, add_zero]⟩
lemma eq_zero_of_le_div {a b : ℕ} (hb : 2 ≤ b) (h : a ≤ a / b) : a = 0 :=
eq_zero_of_mul_le hb $
by rw mul_comm; exact (nat.le_div_iff_mul_le' (lt_of_lt_of_le dec_trivial hb)).1 h
lemma mul_div_le_mul_div_assoc (a b c : ℕ) : a * (b / c) ≤ (a * b) / c :=
if hc0 : c = 0 then by simp [hc0]
else (nat.le_div_iff_mul_le _ _ (nat.pos_of_ne_zero hc0)).2
(by rw [mul_assoc]; exact mul_le_mul_left _ (nat.div_mul_le_self _ _))
lemma div_mul_div_le_div (a b c : ℕ) : ((a / c) * b) / a ≤ b / c :=
if ha0 : a = 0 then by simp [ha0]
else calc a / c * b / a ≤ b * a / c / a :
nat.div_le_div_right (by rw [mul_comm];
exact mul_div_le_mul_div_assoc _ _ _)
... = b / c : by rw [nat.div_div_eq_div_mul, mul_comm b, mul_comm c,
nat.mul_div_mul _ _ (nat.pos_of_ne_zero ha0)]
lemma eq_zero_of_le_half {a : ℕ} (h : a ≤ a / 2) : a = 0 :=
eq_zero_of_le_div (le_refl _) h
lemma mod_mul_right_div_self (a b c : ℕ) : a % (b * c) / b = (a / b) % c :=
if hb : b = 0 then by simp [hb] else if hc : c = 0 then by simp [hc]
else by conv {to_rhs, rw ← mod_add_div a (b * c)};
rw [mul_assoc, nat.add_mul_div_left _ _ (nat.pos_of_ne_zero hb), add_mul_mod_self_left,
mod_eq_of_lt (nat.div_lt_of_lt_mul (mod_lt _ (mul_pos (nat.pos_of_ne_zero hb) (nat.pos_of_ne_zero hc))))]
lemma mod_mul_left_div_self (a b c : ℕ) : a % (c * b) / b = (a / b) % c :=
by rw [mul_comm c, mod_mul_right_div_self]
/- The `n+1`-st triangle number is `n` more than the `n`-th triangle number -/
lemma triangle_succ (n : ℕ) : (n + 1) * ((n + 1) - 1) / 2 = n * (n - 1) / 2 + n :=
begin
rw [← add_mul_div_left, mul_comm 2 n, ← mul_add, nat.add_sub_cancel, mul_comm],
cases n; refl, apply zero_lt_succ
end
@[simp] protected theorem dvd_one {n : ℕ} : n ∣ 1 ↔ n = 1 :=
⟨eq_one_of_dvd_one, λ e, e.symm ▸ dvd_refl _⟩
protected theorem dvd_add_left {k m n : ℕ} (h : k ∣ n) : k ∣ m + n ↔ k ∣ m :=
(nat.dvd_add_iff_left h).symm
protected theorem dvd_add_right {k m n : ℕ} (h : k ∣ m) : k ∣ m + n ↔ k ∣ n :=
(nat.dvd_add_iff_right h).symm
/-- A natural number m divides the sum m + n if and only if m divides b.-/
@[simp] protected lemma dvd_add_self_left {m n : ℕ} :
m ∣ m + n ↔ m ∣ n :=
nat.dvd_add_right (dvd_refl m)
/-- A natural number m divides the sum n + m if and only if m divides b.-/
@[simp] protected lemma dvd_add_self_right {m n : ℕ} :
m ∣ n + m ↔ m ∣ n :=
nat.dvd_add_left (dvd_refl m)
protected theorem mul_dvd_mul_iff_left {a b c : ℕ} (ha : 0 < a) : a * b ∣ a * c ↔ b ∣ c :=
exists_congr $ λ d, by rw [mul_assoc, nat.mul_right_inj ha]
protected theorem mul_dvd_mul_iff_right {a b c : ℕ} (hc : 0 < c) : a * c ∣ b * c ↔ a ∣ b :=
exists_congr $ λ d, by rw [mul_right_comm, nat.mul_left_inj hc]
lemma succ_div : ∀ (a b : ℕ), (a + 1) / b =
a / b + if b ∣ a + 1 then 1 else 0
| a 0 := by simp
| 0 1 := rfl
| 0 (b+2) := have hb2 : b + 2 > 1, from dec_trivial,
by simp [ne_of_gt hb2, div_eq_of_lt hb2]
| (a+1) (b+1) := begin
rw [nat.div_def], conv_rhs { rw nat.div_def },
by_cases hb_eq_a : b = a + 1,
{ simp [hb_eq_a, le_refl] },
by_cases hb_le_a1 : b ≤ a + 1,
{ have hb_le_a : b ≤ a, from le_of_lt_succ (lt_of_le_of_ne hb_le_a1 hb_eq_a),
have h₁ : (0 < b + 1 ∧ b + 1 ≤ a + 1 + 1),
from ⟨succ_pos _, (add_le_add_iff_right _).2 hb_le_a1⟩,
have h₂ : (0 < b + 1 ∧ b + 1 ≤ a + 1),
from ⟨succ_pos _, (add_le_add_iff_right _).2 hb_le_a⟩,
have dvd_iff : b + 1 ∣ a - b + 1 ↔ b + 1 ∣ a + 1 + 1,
{ rw [nat.dvd_add_iff_left (dvd_refl (b + 1)),
← nat.add_sub_add_right a 1 b, add_comm (_ - _), add_assoc,
nat.sub_add_cancel (succ_le_succ hb_le_a), add_comm 1] },
have wf : a - b < a + 1, from lt_succ_of_le (nat.sub_le_self _ _),
rw [if_pos h₁, if_pos h₂, nat.add_sub_add_right, nat.sub_add_comm hb_le_a,
by exact have _ := wf, succ_div (a - b),
nat.add_sub_add_right],
simp [dvd_iff, succ_eq_add_one, add_comm 1, add_assoc] },
{ have hba : ¬ b ≤ a,
from not_le_of_gt (lt_trans (lt_succ_self a) (lt_of_not_ge hb_le_a1)),
have hb_dvd_a : ¬ b + 1 ∣ a + 2,
from λ h, hb_le_a1 (le_of_succ_le_succ (le_of_dvd (succ_pos _) h)),
simp [hba, hb_le_a1, hb_dvd_a], }
end
lemma succ_div_of_dvd {a b : ℕ} (hba : b ∣ a + 1) :
(a + 1) / b = a / b + 1 :=
by rw [succ_div, if_pos hba]
lemma succ_div_of_not_dvd {a b : ℕ} (hba : ¬ b ∣ a + 1) :
(a + 1) / b = a / b :=
by rw [succ_div, if_neg hba, add_zero]
@[simp] theorem mod_mod_of_dvd (n : nat) {m k : nat} (h : m ∣ k) : n % k % m = n % m :=
begin
conv { to_rhs, rw ←mod_add_div n k },
rcases h with ⟨t, rfl⟩, rw [mul_assoc, add_mul_mod_self_left]
end
@[simp] theorem mod_mod (a n : ℕ) : (a % n) % n = a % n :=
(eq_zero_or_pos n).elim
(λ n0, by simp [n0])
(λ npos, mod_eq_of_lt (mod_lt _ npos))
/-- If `a` and `b` are equal mod `c`, `a - b` is zero mod `c`. -/
lemma sub_mod_eq_zero_of_mod_eq {a b c : ℕ} (h : a % c = b % c) : (a - b) % c = 0 :=
by rw [←nat.mod_add_div a c, ←nat.mod_add_div b c, ←h, ←nat.sub_sub, nat.add_sub_cancel_left,
←nat.mul_sub_left_distrib, nat.mul_mod_right]
lemma dvd_sub_mod (k : ℕ) : n ∣ (k - (k % n)) :=
⟨k / n, nat.sub_eq_of_eq_add (nat.mod_add_div k n).symm⟩
@[simp] theorem mod_add_mod (m n k : ℕ) : (m % n + k) % n = (m + k) % n :=
by have := (add_mul_mod_self_left (m % n + k) n (m / n)).symm;
rwa [add_right_comm, mod_add_div] at this
@[simp] theorem add_mod_mod (m n k : ℕ) : (m + n % k) % k = (m + n) % k :=
by rw [add_comm, mod_add_mod, add_comm]
lemma add_mod (a b n : ℕ) : (a + b) % n = ((a % n) + (b % n)) % n :=
by rw [add_mod_mod, mod_add_mod]
theorem add_mod_eq_add_mod_right {m n k : ℕ} (i : ℕ) (H : m % n = k % n) :
(m + i) % n = (k + i) % n :=
by rw [← mod_add_mod, ← mod_add_mod k, H]
theorem add_mod_eq_add_mod_left {m n k : ℕ} (i : ℕ) (H : m % n = k % n) :
(i + m) % n = (i + k) % n :=
by rw [add_comm, add_mod_eq_add_mod_right _ H, add_comm]
lemma mul_mod (a b n : ℕ) : (a * b) % n = ((a % n) * (b % n)) % n :=
begin
conv_lhs {
rw [←mod_add_div a n, ←mod_add_div b n, right_distrib, left_distrib, left_distrib,
mul_assoc, mul_assoc, ←left_distrib n _ _, add_mul_mod_self_left,
mul_comm _ (n * (b / n)), mul_assoc, add_mul_mod_self_left] }
end
theorem add_pos_left {m : ℕ} (h : 0 < m) (n : ℕ) : 0 < m + n :=
calc
m + n > 0 + n : nat.add_lt_add_right h n
... = n : nat.zero_add n
... ≥ 0 : zero_le n
theorem add_pos_right (m : ℕ) {n : ℕ} (h : 0 < n) : 0 < m + n :=
begin rw add_comm, exact add_pos_left h m end
theorem add_pos_iff_pos_or_pos (m n : ℕ) : 0 < m + n ↔ 0 < m ∨ 0 < n :=
iff.intro
begin
intro h,
cases m with m,
{simp [zero_add] at h, exact or.inr h},
exact or.inl (succ_pos _)
end
begin
intro h, cases h with mpos npos,
{ apply add_pos_left mpos },
apply add_pos_right _ npos
end
lemma add_eq_one_iff : ∀ {a b : ℕ}, a + b = 1 ↔ (a = 0 ∧ b = 1) ∨ (a = 1 ∧ b = 0)
| 0 0 := dec_trivial
| 0 1 := dec_trivial
| 1 0 := dec_trivial
| 1 1 := dec_trivial
| (a+2) _ := by rw add_right_comm; exact dec_trivial
| _ (b+2) := by rw [← add_assoc]; simp only [nat.succ_inj', nat.succ_ne_zero]; simp
lemma mul_eq_one_iff : ∀ {a b : ℕ}, a * b = 1 ↔ a = 1 ∧ b = 1
| 0 0 := dec_trivial
| 0 1 := dec_trivial
| 1 0 := dec_trivial
| (a+2) 0 := by simp
| 0 (b+2) := by simp
| (a+1) (b+1) := ⟨λ h, by simp only [add_mul, mul_add, mul_add, one_mul, mul_one,
(add_assoc _ _ _).symm, nat.succ_inj', add_eq_zero_iff] at h; simp [h.1.2, h.2],
by clear_aux_decl; finish⟩
lemma mul_right_eq_self_iff {a b : ℕ} (ha : 0 < a) : a * b = a ↔ b = 1 :=
suffices a * b = a * 1 ↔ b = 1, by rwa mul_one at this,
nat.mul_right_inj ha
lemma mul_left_eq_self_iff {a b : ℕ} (hb : 0 < b) : a * b = b ↔ a = 1 :=
by rw [mul_comm, nat.mul_right_eq_self_iff hb]
lemma lt_succ_iff_lt_or_eq {n i : ℕ} : n < i.succ ↔ (n < i ∨ n = i) :=
lt_succ_iff.trans le_iff_lt_or_eq
theorem le_zero_iff {i : ℕ} : i ≤ 0 ↔ i = 0 :=
⟨nat.eq_zero_of_le_zero, assume h, h ▸ le_refl i⟩
theorem le_add_one_iff {i j : ℕ} : i ≤ j + 1 ↔ (i ≤ j ∨ i = j + 1) :=
⟨assume h,
match nat.eq_or_lt_of_le h with
| or.inl h := or.inr h
| or.inr h := or.inl $ nat.le_of_succ_le_succ h
end,
or.rec (assume h, le_trans h $ nat.le_add_right _ _) le_of_eq⟩
theorem mul_self_inj {n m : ℕ} : n * n = m * m ↔ n = m :=
le_antisymm_iff.trans (le_antisymm_iff.trans
(and_congr mul_self_le_mul_self_iff mul_self_le_mul_self_iff)).symm
section facts
-- Inject some simple facts into the typeclass system.
-- This `fact` should not be confused with the factorial function `nat.fact`!
instance succ_pos'' (n : ℕ) : _root_.fact (0 < n.succ) := n.succ_pos
instance pos_of_one_lt (n : ℕ) [h : fact (1 < n)] : fact (0 < n) :=
lt_trans zero_lt_one h
end facts
instance decidable_ball_lt (n : nat) (P : Π k < n, Prop) :
∀ [H : ∀ n h, decidable (P n h)], decidable (∀ n h, P n h) :=
begin
induction n with n IH; intro; resetI,
{ exact is_true (λ n, dec_trivial) },
cases IH (λ k h, P k (lt_succ_of_lt h)) with h,
{ refine is_false (mt _ h), intros hn k h, apply hn },
by_cases p : P n (lt_succ_self n),
{ exact is_true (λ k h',
(lt_or_eq_of_le $ le_of_lt_succ h').elim (h _)
(λ e, match k, e, h' with _, rfl, h := p end)) },
{ exact is_false (mt (λ hn, hn _ _) p) }
end
instance decidable_forall_fin {n : ℕ} (P : fin n → Prop)
[H : decidable_pred P] : decidable (∀ i, P i) :=
decidable_of_iff (∀ k h, P ⟨k, h⟩) ⟨λ a ⟨k, h⟩, a k h, λ a k h, a ⟨k, h⟩⟩
instance decidable_ball_le (n : ℕ) (P : Π k ≤ n, Prop)
[H : ∀ n h, decidable (P n h)] : decidable (∀ n h, P n h) :=
decidable_of_iff (∀ k (h : k < succ n), P k (le_of_lt_succ h))
⟨λ a k h, a k (lt_succ_of_le h), λ a k h, a k _⟩
instance decidable_lo_hi (lo hi : ℕ) (P : ℕ → Prop) [H : decidable_pred P] : decidable (∀x, lo ≤ x → x < hi → P x) :=
decidable_of_iff (∀ x < hi - lo, P (lo + x))
⟨λal x hl hh, by have := al (x - lo) (lt_of_not_ge $
(not_congr (nat.sub_le_sub_right_iff _ _ _ hl)).2 $ not_le_of_gt hh);
rwa [nat.add_sub_of_le hl] at this,
λal x h, al _ (nat.le_add_right _ _) (nat.add_lt_of_lt_sub_left h)⟩
instance decidable_lo_hi_le (lo hi : ℕ) (P : ℕ → Prop) [H : decidable_pred P] : decidable (∀x, lo ≤ x → x ≤ hi → P x) :=
decidable_of_iff (∀x, lo ≤ x → x < hi + 1 → P x) $
ball_congr $ λ x hl, imp_congr lt_succ_iff iff.rfl
protected theorem bit0_le {n m : ℕ} (h : n ≤ m) : bit0 n ≤ bit0 m :=
add_le_add h h
protected theorem bit1_le {n m : ℕ} (h : n ≤ m) : bit1 n ≤ bit1 m :=
succ_le_succ (add_le_add h h)
theorem bit_le : ∀ (b : bool) {n m : ℕ}, n ≤ m → bit b n ≤ bit b m
| tt n m h := nat.bit1_le h
| ff n m h := nat.bit0_le h
theorem bit_ne_zero (b) {n} (h : n ≠ 0) : bit b n ≠ 0 :=
by cases b; [exact nat.bit0_ne_zero h, exact nat.bit1_ne_zero _]
theorem bit0_le_bit : ∀ (b) {m n : ℕ}, m ≤ n → bit0 m ≤ bit b n
| tt m n h := le_of_lt $ nat.bit0_lt_bit1 h
| ff m n h := nat.bit0_le h
theorem bit_le_bit1 : ∀ (b) {m n : ℕ}, m ≤ n → bit b m ≤ bit1 n
| ff m n h := le_of_lt $ nat.bit0_lt_bit1 h
| tt m n h := nat.bit1_le h
theorem bit_lt_bit0 : ∀ (b) {n m : ℕ}, n < m → bit b n < bit0 m
| tt n m h := nat.bit1_lt_bit0 h
| ff n m h := nat.bit0_lt h
theorem bit_lt_bit (a b) {n m : ℕ} (h : n < m) : bit a n < bit b m :=
lt_of_lt_of_le (bit_lt_bit0 _ h) (bit0_le_bit _ (le_refl _))
@[simp] lemma bit0_le_bit1_iff : bit0 k ≤ bit1 n ↔ k ≤ n :=
⟨λ h, by rwa [← nat.lt_succ_iff, n.bit1_eq_succ_bit0, ← n.bit0_succ_eq,
bit0_lt_bit0, nat.lt_succ_iff] at h, λ h, le_of_lt (nat.bit0_lt_bit1 h)⟩
@[simp] lemma bit0_lt_bit1_iff : bit0 k < bit1 n ↔ k ≤ n :=
⟨λ h, bit0_le_bit1_iff.1 (le_of_lt h), nat.bit0_lt_bit1⟩
@[simp] lemma bit1_le_bit0_iff : bit1 k ≤ bit0 n ↔ k < n :=
⟨λ h, by rwa [k.bit1_eq_succ_bit0, succ_le_iff, bit0_lt_bit0] at h,
λ h, le_of_lt (nat.bit1_lt_bit0 h)⟩
@[simp] lemma bit1_lt_bit0_iff : bit1 k < bit0 n ↔ k < n :=
⟨λ h, bit1_le_bit0_iff.1 (le_of_lt h), nat.bit1_lt_bit0⟩
@[simp] lemma one_le_bit0_iff : 1 ≤ bit0 n ↔ 0 < n :=
by { convert bit1_le_bit0_iff, refl, }
@[simp] lemma one_lt_bit0_iff : 1 < bit0 n ↔ 1 ≤ n :=
by { convert bit1_lt_bit0_iff, refl, }
@[simp] lemma bit_le_bit_iff : ∀ {b : bool}, bit b k ≤ bit b n ↔ k ≤ n
| ff := bit0_le_bit0
| tt := bit1_le_bit1
@[simp] lemma bit_lt_bit_iff : ∀ {b : bool}, bit b k < bit b n ↔ k < n
| ff := bit0_lt_bit0
| tt := bit1_lt_bit1
@[simp] lemma bit_le_bit1_iff : ∀ {b : bool}, bit b k ≤ bit1 n ↔ k ≤ n
| ff := bit0_le_bit1_iff
| tt := bit1_le_bit1
lemma pos_of_bit0_pos {n : ℕ} (h : 0 < bit0 n) : 0 < n :=
by { cases n, cases h, apply succ_pos, }
/-- Define a function on `ℕ` depending on parity of the argument. -/
@[elab_as_eliminator]
def bit_cases {C : ℕ → Sort u} (H : Π b n, C (bit b n)) (n : ℕ) : C n :=
eq.rec_on n.bit_decomp (H (bodd n) (div2 n))
/- partial subtraction -/
/-- Partial predecessor operation. Returns `ppred n = some m`
if `n = m + 1`, otherwise `none`. -/
@[simp] def ppred : ℕ → option ℕ
| 0 := none
| (n+1) := some n
/-- Partial subtraction operation. Returns `psub m n = some k`
if `m = n + k`, otherwise `none`. -/
@[simp] def psub (m : ℕ) : ℕ → option ℕ
| 0 := some m
| (n+1) := psub n >>= ppred
theorem pred_eq_ppred (n : ℕ) : pred n = (ppred n).get_or_else 0 :=
by cases n; refl
theorem sub_eq_psub (m : ℕ) : ∀ n, m - n = (psub m n).get_or_else 0
| 0 := rfl
| (n+1) := (pred_eq_ppred (m-n)).trans $
by rw [sub_eq_psub, psub]; cases psub m n; refl
@[simp] theorem ppred_eq_some {m : ℕ} : ∀ {n}, ppred n = some m ↔ succ m = n
| 0 := by split; intro h; contradiction
| (n+1) := by dsimp; split; intro h; injection h; subst n
@[simp] theorem ppred_eq_none : ∀ {n : ℕ}, ppred n = none ↔ n = 0
| 0 := by simp
| (n+1) := by dsimp; split; contradiction
theorem psub_eq_some {m : ℕ} : ∀ {n k}, psub m n = some k ↔ k + n = m
| 0 k := by simp [eq_comm]
| (n+1) k :=
begin
dsimp,
apply option.bind_eq_some.trans,
simp [psub_eq_some, add_comm, add_left_comm, nat.succ_eq_add_one]
end
theorem psub_eq_none (m n : ℕ) : psub m n = none ↔ m < n :=
begin
cases s : psub m n; simp [eq_comm],
{ show m < n, refine lt_of_not_ge (λ h, _),
cases le.dest h with k e,
injection s.symm.trans (psub_eq_some.2 $ (add_comm _ _).trans e) },
{ show n ≤ m, rw ← psub_eq_some.1 s, apply le_add_left }
end
theorem ppred_eq_pred {n} (h : 0 < n) : ppred n = some (pred n) :=
ppred_eq_some.2 $ succ_pred_eq_of_pos h
theorem psub_eq_sub {m n} (h : n ≤ m) : psub m n = some (m - n) :=
psub_eq_some.2 $ nat.sub_add_cancel h
theorem psub_add (m n k) : psub m (n + k) = do x ← psub m n, psub x k :=
by induction k; simp [*, add_succ, bind_assoc]
/- pow -/
attribute [simp] nat.pow_zero nat.pow_one
@[simp] lemma one_pow : ∀ n : ℕ, 1 ^ n = 1
| 0 := rfl
| (k+1) := show 1^k * 1 = 1, by rw [mul_one, one_pow]
theorem pow_add (a m n : ℕ) : a^(m + n) = a^m * a^n :=
by induction n; simp [*, nat.pow_succ, mul_assoc]
theorem pow_two (a : ℕ) : a ^ 2 = a * a := show (1 * a) * a = _, by rw one_mul
theorem pow_dvd_pow (a : ℕ) {m n : ℕ} (h : m ≤ n) : a^m ∣ a^n :=
by rw [← nat.add_sub_cancel' h, pow_add]; apply dvd_mul_right
theorem pow_dvd_pow_of_dvd {a b : ℕ} (h : a ∣ b) : ∀ n:ℕ, a^n ∣ b^n
| 0 := dvd_refl _
| (n+1) := mul_dvd_mul (pow_dvd_pow_of_dvd n) h
theorem mul_pow (a b n : ℕ) : (a * b) ^ n = a ^ n * b ^ n :=
by induction n; simp [*, nat.pow_succ, mul_comm, mul_assoc, mul_left_comm]
protected theorem pow_mul (a b n : ℕ) : n ^ (a * b) = (n ^ a) ^ b :=
by induction b; simp [*, nat.succ_eq_add_one, nat.pow_add, mul_add, mul_comm]
theorem pow_pos {p : ℕ} (hp : 0 < p) : ∀ n : ℕ, 0 < p ^ n
| 0 := by simp
| (k+1) := mul_pos (pow_pos _) hp
lemma pow_eq_mul_pow_sub (p : ℕ) {m n : ℕ} (h : m ≤ n) : p ^ m * p ^ (n - m) = p ^ n :=
by rw [←nat.pow_add, nat.add_sub_cancel' h]
lemma pow_lt_pow_succ {p : ℕ} (h : 1 < p) (n : ℕ) : p^n < p^(n+1) :=
suffices p^n*1 < p^n*p, by simpa,
nat.mul_lt_mul_of_pos_left h (nat.pow_pos (lt_of_succ_lt h) n)
lemma lt_pow_self {p : ℕ} (h : 1 < p) : ∀ n : ℕ, n < p ^ n
| 0 := by simp [zero_lt_one]
| (n+1) := calc
n + 1 < p^n + 1 : nat.add_lt_add_right (lt_pow_self _) _
... ≤ p ^ (n+1) : pow_lt_pow_succ h _
lemma lt_two_pow (n : ℕ) : n < 2^n :=
lt_pow_self dec_trivial n
lemma one_le_pow (n m : ℕ) (h : 0 < m) : 1 ≤ m^n :=
one_pow n ▸ pow_le_pow_of_le_left h n
lemma one_le_pow' (n m : ℕ) : 1 ≤ (m+1)^n := one_le_pow n (m+1) (succ_pos m)
lemma one_le_two_pow (n : ℕ) : 1 ≤ 2^n := one_le_pow n 2 dec_trivial
lemma one_lt_pow (n m : ℕ) (h₀ : 0 < n) (h₁ : 1 < m) : 1 < m^n :=
one_pow n ▸ pow_lt_pow_of_lt_left h₁ h₀
lemma one_lt_pow' (n m : ℕ) : 1 < (m+2)^(n+1) :=
one_lt_pow (n+1) (m+2) (succ_pos n) (nat.lt_of_sub_eq_succ rfl)
lemma one_lt_two_pow (n : ℕ) (h₀ : 0 < n) : 1 < 2^n := one_lt_pow n 2 h₀ dec_trivial
lemma one_lt_two_pow' (n : ℕ) : 1 < 2^(n+1) := one_lt_pow (n+1) 2 (succ_pos n) dec_trivial
lemma pow_right_strict_mono {x : ℕ} (k : 2 ≤ x) : strict_mono (nat.pow x) :=
λ _ _, pow_lt_pow_of_lt_right k
lemma pow_le_iff_le_right {x m n : ℕ} (k : 2 ≤ x) : x^m ≤ x^n ↔ m ≤ n :=
strict_mono.le_iff_le (pow_right_strict_mono k)
lemma pow_lt_iff_lt_right {x m n : ℕ} (k : 2 ≤ x) : x^m < x^n ↔ m < n :=
strict_mono.lt_iff_lt (pow_right_strict_mono k)
lemma pow_right_injective {x : ℕ} (k : 2 ≤ x) : function.injective (nat.pow x) :=
strict_mono.injective (pow_right_strict_mono k)
lemma pow_dvd_pow_iff_pow_le_pow {k l : ℕ} : Π {x : ℕ} (w : 0 < x), x^k ∣ x^l ↔ x^k ≤ x^l
| (x+1) w :=
begin
split,
{ intro a, exact le_of_dvd (pow_pos (succ_pos x) l) a, },
{ intro a, cases x with x,
{ simp only [one_pow], },
{ have le := (pow_le_iff_le_right (le_add_left _ _)).mp a,
use (x+2)^(l-k),
rw [←nat.pow_add, add_comm k, nat.sub_add_cancel le], } }
end
/-- If `1 < x`, then `x^k` divides `x^l` if and only if `k` is at most `l`. -/
lemma pow_dvd_pow_iff_le_right {x k l : ℕ} (w : 1 < x) : x^k ∣ x^l ↔ k ≤ l :=
by rw [pow_dvd_pow_iff_pow_le_pow (lt_of_succ_lt w), pow_le_iff_le_right w]
lemma pow_dvd_pow_iff_le_right' {b k l : ℕ} : (b+2)^k ∣ (b+2)^l ↔ k ≤ l :=
pow_dvd_pow_iff_le_right (nat.lt_of_sub_eq_succ rfl)
lemma pow_left_strict_mono {m : ℕ} (k : 1 ≤ m) : strict_mono (λ (x : ℕ), x^m) :=
λ _ _ h, pow_lt_pow_of_lt_left h k
lemma pow_le_iff_le_left {m x y : ℕ} (k : 1 ≤ m) : x^m ≤ y^m ↔ x ≤ y :=
strict_mono.le_iff_le (pow_left_strict_mono k)
lemma pow_lt_iff_lt_left {m x y : ℕ} (k : 1 ≤ m) : x^m < y^m ↔ x < y :=
strict_mono.lt_iff_lt (pow_left_strict_mono k)
lemma pow_left_injective {m : ℕ} (k : 1 ≤ m) : function.injective (λ (x : ℕ), x^m) :=
strict_mono.injective (pow_left_strict_mono k)
lemma not_pos_pow_dvd : ∀ {p k : ℕ} (hp : 1 < p) (hk : 1 < k), ¬ p^k ∣ p
| (succ p) (succ k) hp hk h :=
have (succ p)^k * succ p ∣ 1 * succ p, by simpa,
have (succ p) ^ k ∣ 1, from dvd_of_mul_dvd_mul_right (succ_pos _) this,
have he : (succ p) ^ k = 1, from eq_one_of_dvd_one this,
have k < (succ p) ^ k, from lt_pow_self hp k,
have k < 1, by rwa [he] at this,
have k = 0, from eq_zero_of_le_zero $ le_of_lt_succ this,
have 1 < 1, by rwa [this] at hk,
absurd this dec_trivial
@[simp] theorem bodd_div2_eq (n : ℕ) : bodd_div2 n = (bodd n, div2 n) :=
by unfold bodd div2; cases bodd_div2 n; refl
@[simp] lemma bodd_bit0 (n) : bodd (bit0 n) = ff := bodd_bit ff n
@[simp] lemma bodd_bit1 (n) : bodd (bit1 n) = tt := bodd_bit tt n
@[simp] lemma div2_bit0 (n) : div2 (bit0 n) = n := div2_bit ff n
@[simp] lemma div2_bit1 (n) : div2 (bit1 n) = n := div2_bit tt n
/- size and shift -/
theorem shiftl'_ne_zero_left (b) {m} (h : m ≠ 0) (n) : shiftl' b m n ≠ 0 :=
by induction n; simp [shiftl', bit_ne_zero, *]
theorem shiftl'_tt_ne_zero (m) : ∀ {n} (h : n ≠ 0), shiftl' tt m n ≠ 0
| 0 h := absurd rfl h
| (succ n) _ := nat.bit1_ne_zero _
@[simp] theorem size_zero : size 0 = 0 := rfl
@[simp] theorem size_bit {b n} (h : bit b n ≠ 0) : size (bit b n) = succ (size n) :=
begin
rw size,
conv { to_lhs, rw [binary_rec], simp [h] },
rw div2_bit,
end
@[simp] theorem size_bit0 {n} (h : n ≠ 0) : size (bit0 n) = succ (size n) :=
@size_bit ff n (nat.bit0_ne_zero h)
@[simp] theorem size_bit1 (n) : size (bit1 n) = succ (size n) :=
@size_bit tt n (nat.bit1_ne_zero n)
@[simp] theorem size_one : size 1 = 1 := by apply size_bit1 0
@[simp] theorem size_shiftl' {b m n} (h : shiftl' b m n ≠ 0) :
size (shiftl' b m n) = size m + n :=
begin
induction n with n IH; simp [shiftl'] at h ⊢,
rw [size_bit h, nat.add_succ],
by_cases s0 : shiftl' b m n = 0; [skip, rw [IH s0]],
rw s0 at h ⊢,
cases b, {exact absurd rfl h},
have : shiftl' tt m n + 1 = 1 := congr_arg (+1) s0,
rw [shiftl'_tt_eq_mul_pow] at this,
have m0 := succ.inj (eq_one_of_dvd_one ⟨_, this.symm⟩),
subst m0,
simp at this,
have : n = 0 := eq_zero_of_le_zero (le_of_not_gt $ λ hn,
ne_of_gt (pow_lt_pow_of_lt_right dec_trivial hn) this),
subst n, refl
end
@[simp] theorem size_shiftl {m} (h : m ≠ 0) (n) :
size (shiftl m n) = size m + n :=
size_shiftl' (shiftl'_ne_zero_left _ h _)
theorem lt_size_self (n : ℕ) : n < 2^size n :=
begin
rw [← one_shiftl],
have : ∀ {n}, n = 0 → n < shiftl 1 (size n) :=
λ n e, by subst e; exact dec_trivial,
apply binary_rec _ _ n, {apply this rfl},
intros b n IH,
by_cases bit b n = 0, {apply this h},
rw [size_bit h, shiftl_succ],
exact bit_lt_bit0 _ IH
end
theorem size_le {m n : ℕ} : size m ≤ n ↔ m < 2^n :=
⟨λ h, lt_of_lt_of_le (lt_size_self _) (pow_le_pow_of_le_right dec_trivial h),
begin
rw [← one_shiftl], revert n,
apply binary_rec _ _ m,
{ intros n h, apply zero_le },
{ intros b m IH n h,
by_cases e : bit b m = 0, { rw e, apply zero_le },
rw [size_bit e],
cases n with n,
{ exact e.elim (eq_zero_of_le_zero (le_of_lt_succ h)) },
{ apply succ_le_succ (IH _),
apply lt_imp_lt_of_le_imp_le (λ h', bit0_le_bit _ h') h } }
end⟩
theorem lt_size {m n : ℕ} : m < size n ↔ 2^m ≤ n :=
by rw [← not_lt, iff_not_comm, not_lt, size_le]
theorem size_pos {n : ℕ} : 0 < size n ↔ 0 < n :=
by rw lt_size; refl
theorem size_eq_zero {n : ℕ} : size n = 0 ↔ n = 0 :=
by have := @size_pos n; simp [pos_iff_ne_zero] at this;
exact not_iff_not.1 this
theorem size_pow {n : ℕ} : size (2^n) = n+1 :=
le_antisymm
(size_le.2 $ pow_lt_pow_of_lt_right dec_trivial (lt_succ_self _))
(lt_size.2 $ le_refl _)
theorem size_le_size {m n : ℕ} (h : m ≤ n) : size m ≤ size n :=
size_le.2 $ lt_of_le_of_lt h (lt_size_self _)
/- factorial -/
/-- `fact n` is the factorial of `n`. -/
@[simp] def fact : nat → nat
| 0 := 1
| (succ n) := succ n * fact n
@[simp] theorem fact_zero : fact 0 = 1 := rfl
@[simp] theorem fact_succ (n) : fact (succ n) = succ n * fact n := rfl
@[simp] theorem fact_one : fact 1 = 1 := rfl
theorem fact_pos : ∀ n, 0 < fact n
| 0 := zero_lt_one
| (succ n) := mul_pos (succ_pos _) (fact_pos n)
theorem fact_ne_zero (n : ℕ) : fact n ≠ 0 := ne_of_gt (fact_pos _)
theorem fact_dvd_fact {m n} (h : m ≤ n) : fact m ∣ fact n :=
begin
induction n with n IH; simp,
{ have := eq_zero_of_le_zero h, subst m, simp },
{ cases eq_or_lt_of_le h with he hl,
{ subst m, simp },
{ apply dvd_mul_of_dvd_right (IH (le_of_lt_succ hl)) } }
end
theorem dvd_fact : ∀ {m n}, 0 < m → m ≤ n → m ∣ fact n
| (succ m) n _ h := dvd_of_mul_right_dvd (fact_dvd_fact h)
theorem fact_le {m n} (h : m ≤ n) : fact m ≤ fact n :=
le_of_dvd (fact_pos _) (fact_dvd_fact h)
lemma fact_mul_pow_le_fact : ∀ {m n : ℕ}, m.fact * m.succ ^ n ≤ (m + n).fact
| m 0 := by simp
| m (n+1) :=
by rw [← add_assoc, nat.fact_succ, mul_comm (nat.succ _), nat.pow_succ, ← mul_assoc];
exact mul_le_mul fact_mul_pow_le_fact
(nat.succ_le_succ (nat.le_add_right _ _)) (nat.zero_le _) (nat.zero_le _)
lemma monotone_fact : monotone fact := λ n m, fact_le
lemma fact_lt (h0 : 0 < n) : n.fact < m.fact ↔ n < m :=
begin
split; intro h,
{ rw [← not_le], intro hmn, apply not_le_of_lt h (fact_le hmn) },
{ have : ∀(n : ℕ), 0 < n → n.fact < n.succ.fact,
{ intros k hk, rw [fact_succ, succ_mul, lt_add_iff_pos_left],
apply mul_pos hk (fact_pos k) },
induction h generalizing h0,
{ exact this _ h0, },
{ refine lt_trans (h_ih h0) (this _ _), exact lt_trans h0 (lt_of_succ_le h_a) }}
end
lemma one_lt_fact : 1 < n.fact ↔ 1 < n :=
by { convert fact_lt _, refl, exact one_pos }
lemma fact_eq_one : n.fact = 1 ↔ n ≤ 1 :=
begin
split; intro h,
{ rw [← not_lt, ← one_lt_fact, h], apply lt_irrefl },
{ cases h with h h, refl, cases h, refl }
end
lemma fact_inj (h0 : 1 < n.fact) : n.fact = m.fact ↔ n = m :=
begin
split; intro h,
{ rcases lt_trichotomy n m with hnm|hnm|hnm,
{ exfalso, rw [← fact_lt, h] at hnm, exact lt_irrefl _ hnm,
rw [one_lt_fact] at h0, exact lt_trans one_pos h0 },
{ exact hnm },
{ exfalso, rw [← fact_lt, h] at hnm, exact lt_irrefl _ hnm,
rw [h, one_lt_fact] at h0, exact lt_trans one_pos h0 }},
{ rw h }
end
/- choose -/
/-- `choose n k` is the number of `k`-element subsets in an `n`-element set. Also known as binomial
coefficients. -/
def choose : ℕ → ℕ → ℕ
| _ 0 := 1
| 0 (k + 1) := 0
| (n + 1) (k + 1) := choose n k + choose n (k + 1)
@[simp] lemma choose_zero_right (n : ℕ) : choose n 0 = 1 := by cases n; refl
@[simp] lemma choose_zero_succ (k : ℕ) : choose 0 (succ k) = 0 := rfl
lemma choose_succ_succ (n k : ℕ) : choose (succ n) (succ k) = choose n k + choose n (succ k) := rfl
lemma choose_eq_zero_of_lt : ∀ {n k}, n < k → choose n k = 0
| _ 0 hk := absurd hk dec_trivial
| 0 (k + 1) hk := choose_zero_succ _
| (n + 1) (k + 1) hk :=
have hnk : n < k, from lt_of_succ_lt_succ hk,
have hnk1 : n < k + 1, from lt_of_succ_lt hk,
by rw [choose_succ_succ, choose_eq_zero_of_lt hnk, choose_eq_zero_of_lt hnk1]
@[simp] lemma choose_self (n : ℕ) : choose n n = 1 :=
by induction n; simp [*, choose, choose_eq_zero_of_lt (lt_succ_self _)]
@[simp] lemma choose_succ_self (n : ℕ) : choose n (succ n) = 0 :=
choose_eq_zero_of_lt (lt_succ_self _)
@[simp] lemma choose_one_right (n : ℕ) : choose n 1 = n :=
by induction n; simp [*, choose, add_comm]
/-- `choose n 2` is the `n`-th triangle number. -/
lemma choose_two_right (n : ℕ) : choose n 2 = n * (n - 1) / 2 :=
begin
induction n with n ih,
simp,
{rw triangle_succ n, simp [choose, ih], rw add_comm},
end
lemma choose_pos : ∀ {n k}, k ≤ n → 0 < choose n k
| 0 _ hk := by rw [eq_zero_of_le_zero hk]; exact dec_trivial
| (n + 1) 0 hk := by simp; exact dec_trivial
| (n + 1) (k + 1) hk := by rw choose_succ_succ;
exact add_pos_of_pos_of_nonneg (choose_pos (le_of_succ_le_succ hk)) (nat.zero_le _)
lemma succ_mul_choose_eq : ∀ n k, succ n * choose n k = choose (succ n) (succ k) * succ k
| 0 0 := dec_trivial
| 0 (k + 1) := by simp [choose]
| (n + 1) 0 := by simp
| (n + 1) (k + 1) :=
by rw [choose_succ_succ (succ n) (succ k), add_mul, ←succ_mul_choose_eq, mul_succ,
←succ_mul_choose_eq, add_right_comm, ←mul_add, ←choose_succ_succ, ←succ_mul]
lemma choose_mul_fact_mul_fact : ∀ {n k}, k ≤ n → choose n k * fact k * fact (n - k) = fact n
| 0 _ hk := by simp [eq_zero_of_le_zero hk]
| (n + 1) 0 hk := by simp
| (n + 1) (succ k) hk :=
begin
cases lt_or_eq_of_le hk with hk₁ hk₁,
{ have h : choose n k * fact (succ k) * fact (n - k) = succ k * fact n :=
by rw ← choose_mul_fact_mul_fact (le_of_succ_le_succ hk);
simp [fact_succ, mul_comm, mul_left_comm],
have h₁ : fact (n - k) = (n - k) * fact (n - succ k) :=
by rw [← succ_sub_succ, succ_sub (le_of_lt_succ hk₁), fact_succ],
have h₂ : choose n (succ k) * fact (succ k) * ((n - k) * fact (n - succ k)) = (n - k) * fact n :=
by rw ← choose_mul_fact_mul_fact (le_of_lt_succ hk₁);
simp [fact_succ, mul_comm, mul_left_comm, mul_assoc],
have h₃ : k * fact n ≤ n * fact n := mul_le_mul_right _ (le_of_succ_le_succ hk),
rw [choose_succ_succ, add_mul, add_mul, succ_sub_succ, h, h₁, h₂, ← add_one, add_mul, nat.mul_sub_right_distrib,
fact_succ, ← nat.add_sub_assoc h₃, add_assoc, ← add_mul, nat.add_sub_cancel_left, add_comm] },
{ simp [hk₁, mul_comm, choose, nat.sub_self] }
end
theorem choose_eq_fact_div_fact {n k : ℕ} (hk : k ≤ n) : choose n k = fact n / (fact k * fact (n - k)) :=
begin
have : fact n = choose n k * (fact k * fact (n - k)) :=
by rw ← mul_assoc; exact (choose_mul_fact_mul_fact hk).symm,
exact (nat.div_eq_of_eq_mul_left (mul_pos (fact_pos _) (fact_pos _)) this).symm
end
theorem fact_mul_fact_dvd_fact {n k : ℕ} (hk : k ≤ n) : fact k * fact (n - k) ∣ fact n :=
by rw [←choose_mul_fact_mul_fact hk, mul_assoc]; exact dvd_mul_left _ _
@[simp] lemma choose_symm {n k : ℕ} (hk : k ≤ n) : choose n (n-k) = choose n k :=
by rw [choose_eq_fact_div_fact hk, choose_eq_fact_div_fact (sub_le _ _), nat.sub_sub_self hk, mul_comm]
lemma choose_symm_of_eq_add {n a b : ℕ} (h : n = a + b) : nat.choose n a = nat.choose n b :=
by { convert nat.choose_symm (nat.le_add_left _ _), rw nat.add_sub_cancel}
lemma choose_symm_add {a b : ℕ} : choose (a+b) a = choose (a+b) b :=
choose_symm_of_eq_add rfl
lemma choose_symm_half (m : ℕ) : choose (2 * m + 1) (m + 1) = choose (2 * m + 1) m :=
by { apply choose_symm_of_eq_add, rw [add_comm m 1, add_assoc 1 m m, add_comm (2 * m) 1, two_mul m] }
lemma choose_succ_right_eq (n k : ℕ) : choose n (k + 1) * (k + 1) = choose n k * (n - k) :=
begin
have e : (n+1) * choose n k = choose n k * (k+1) + choose n (k+1) * (k+1),
rw [← right_distrib, ← choose_succ_succ, succ_mul_choose_eq],
rw [← nat.sub_eq_of_eq_add e, mul_comm, ← nat.mul_sub_left_distrib, nat.add_sub_add_right]
end
@[simp] lemma choose_succ_self_right : ∀ (n:ℕ), (n+1).choose n = n+1
| 0 := rfl
| (n+1) := by rw [choose_succ_succ, choose_succ_self_right, choose_self]
lemma choose_mul_succ_eq (n k : ℕ) :
(n.choose k) * (n + 1) = ((n+1).choose k) * (n + 1 - k) :=
begin
induction k with k ih, { simp },
by_cases hk : n < k + 1,
{ rw [choose_eq_zero_of_lt hk, sub_eq_zero_of_le hk, zero_mul, mul_zero] },
push_neg at hk,
replace hk : k + 1 ≤ n + 1 := _root_.le_add_right hk,
rw [choose_succ_succ],
rw [add_mul, succ_sub_succ],
rw [← choose_succ_right_eq],
rw [← succ_sub_succ, nat.mul_sub_left_distrib],
symmetry,
apply nat.add_sub_cancel',
exact mul_le_mul_left _ hk,
end
theorem units_eq_one (u : units ℕ) : u = 1 :=
units.ext $ nat.eq_one_of_dvd_one ⟨u.inv, u.val_inv.symm⟩
theorem add_units_eq_zero (u : add_units ℕ) : u = 0 :=
add_units.ext $ (nat.eq_zero_of_add_eq_zero u.val_neg).1
@[simp] protected theorem is_unit_iff {n : ℕ} : is_unit n ↔ n = 1 :=
iff.intro
(assume ⟨u, hu⟩, match n, u, hu, nat.units_eq_one u with _, _, rfl, rfl := rfl end)
(assume h, h.symm ▸ ⟨1, rfl⟩)
section find_greatest
/-- `find_greatest P b` is the largest `i ≤ bound` such that `P i` holds, or `0` if no such `i`
exists -/
protected def find_greatest (P : ℕ → Prop) [decidable_pred P] : ℕ → ℕ
| 0 := 0
| (n + 1) := if P (n + 1) then n + 1 else find_greatest n
variables {P : ℕ → Prop} [decidable_pred P]
@[simp] lemma find_greatest_zero : nat.find_greatest P 0 = 0 := rfl
@[simp] lemma find_greatest_eq : ∀{b}, P b → nat.find_greatest P b = b
| 0 h := rfl
| (n + 1) h := by simp [nat.find_greatest, h]
@[simp] lemma find_greatest_of_not {b} (h : ¬ P (b + 1)) :
nat.find_greatest P (b + 1) = nat.find_greatest P b :=
by simp [nat.find_greatest, h]
lemma find_greatest_spec_and_le :
∀{b m}, m ≤ b → P m → P (nat.find_greatest P b) ∧ m ≤ nat.find_greatest P b
| 0 m hm hP :=
have m = 0, from le_antisymm hm (nat.zero_le _),
show P 0 ∧ m ≤ 0, from this ▸ ⟨hP, le_refl _⟩
| (b + 1) m hm hP :=
begin
by_cases h : P (b + 1),
{ simp [h, hm] },
{ have : m ≠ b + 1 := assume this, h $ this ▸ hP,
have : m ≤ b := (le_of_not_gt $ assume h : b + 1 ≤ m, this $ le_antisymm hm h),
have : P (nat.find_greatest P b) ∧ m ≤ nat.find_greatest P b :=
find_greatest_spec_and_le this hP,
simp [h, this] }
end
lemma find_greatest_spec {b} : (∃m, m ≤ b ∧ P m) → P (nat.find_greatest P b)
| ⟨m, hmb, hm⟩ := (find_greatest_spec_and_le hmb hm).1
lemma find_greatest_le : ∀ {b}, nat.find_greatest P b ≤ b
| 0 := le_refl _
| (b + 1) :=
have nat.find_greatest P b ≤ b + 1, from le_trans find_greatest_le (nat.le_succ b),
by by_cases P (b + 1); simp [h, this]
lemma le_find_greatest {b m} (hmb : m ≤ b) (hm : P m) : m ≤ nat.find_greatest P b :=
(find_greatest_spec_and_le hmb hm).2
lemma find_greatest_is_greatest {P : ℕ → Prop} [decidable_pred P] {b} :
(∃ m, m ≤ b ∧ P m) → ∀ k, nat.find_greatest P b < k ∧ k ≤ b → ¬ P k
| ⟨m, hmb, hP⟩ k ⟨hk, hkb⟩ hPk := lt_irrefl k $ lt_of_le_of_lt (le_find_greatest hkb hPk) hk
lemma find_greatest_eq_zero {P : ℕ → Prop} [decidable_pred P] :
∀ {b}, (∀ n ≤ b, ¬ P n) → nat.find_greatest P b = 0
| 0 h := find_greatest_zero
| (n + 1) h :=
begin
have := nat.find_greatest_of_not (h (n + 1) (le_refl _)),
rw this, exact find_greatest_eq_zero (assume k hk, h k (le_trans hk $ nat.le_succ _))
end
lemma find_greatest_of_ne_zero {P : ℕ → Prop} [decidable_pred P] :
∀ {b m}, nat.find_greatest P b = m → m ≠ 0 → P m
| 0 m rfl h := by { have := @find_greatest_zero P _, contradiction }
| (b + 1) m rfl h :=
decidable.by_cases
(assume hb : P (b + 1), by { have := find_greatest_eq hb, rw this, exact hb })
(assume hb : ¬ P (b + 1), find_greatest_of_ne_zero (find_greatest_of_not hb).symm h)
end find_greatest
section div
lemma dvd_div_of_mul_dvd {a b c : ℕ} (h : a * b ∣ c) : b ∣ c / a :=
if ha : a = 0 then
by simp [ha]
else
have ha : 0 < a, from nat.pos_of_ne_zero ha,
have h1 : ∃ d, c = a * b * d, from h,
let ⟨d, hd⟩ := h1 in
have hac : a ∣ c, from dvd_of_mul_right_dvd h,
have h2 : c / a = b * d, from nat.div_eq_of_eq_mul_right ha (by simpa [mul_assoc] using hd),
show ∃ d, c / a = b * d, from ⟨d, h2⟩
lemma mul_dvd_of_dvd_div {a b c : ℕ} (hab : c ∣ b) (h : a ∣ b / c) : c * a ∣ b :=
have h1 : ∃ d, b / c = a * d, from h,
have h2 : ∃ e, b = c * e, from hab,
let ⟨d, hd⟩ := h1, ⟨e, he⟩ := h2 in
have h3 : b = a * d * c, from
nat.eq_mul_of_div_eq_left hab hd,
show ∃ d, b = c * a * d, from ⟨d, by cc⟩
lemma div_mul_div {a b c d : ℕ} (hab : b ∣ a) (hcd : d ∣ c) :
(a / b) * (c / d) = (a * c) / (b * d) :=
have exi1 : ∃ x, a = b * x, from hab,
have exi2 : ∃ y, c = d * y, from hcd,
if hb : b = 0 then by simp [hb]
else have 0 < b, from nat.pos_of_ne_zero hb,
if hd : d = 0 then by simp [hd]
else have 0 < d, from nat.pos_of_ne_zero hd,
begin
cases exi1 with x hx, cases exi2 with y hy,
rw [hx, hy, nat.mul_div_cancel_left, nat.mul_div_cancel_left],
symmetry,
apply nat.div_eq_of_eq_mul_left,
apply mul_pos,
repeat {assumption},
cc
end
lemma pow_dvd_of_le_of_pow_dvd {p m n k : ℕ} (hmn : m ≤ n) (hdiv : p ^ n ∣ k) : p ^ m ∣ k :=
have p ^ m ∣ p ^ n, from pow_dvd_pow _ hmn,
dvd_trans this hdiv
lemma dvd_of_pow_dvd {p k m : ℕ} (hk : 1 ≤ k) (hpk : p^k ∣ m) : p ∣ m :=
by rw ←nat.pow_one p; exact pow_dvd_of_le_of_pow_dvd hk hpk
lemma eq_of_dvd_of_div_eq_one {a b : ℕ} (w : a ∣ b) (h : b / a = 1) : a = b :=
by rw [←nat.div_mul_cancel w, h, one_mul]
lemma eq_zero_of_dvd_of_div_eq_zero {a b : ℕ} (w : a ∣ b) (h : b / a = 0) : b = 0 :=
by rw [←nat.div_mul_cancel w, h, zero_mul]
/-- If a small natural number is divisible by a larger natural number,
the small number is zero. -/
lemma eq_zero_of_dvd_of_lt {a b : ℕ} (w : a ∣ b) (h : b < a) : b = 0 :=
nat.eq_zero_of_dvd_of_div_eq_zero w
((nat.div_eq_zero_iff (lt_of_le_of_lt (zero_le b) h)).elim_right h)
lemma div_le_div_left {a b c : ℕ} (h₁ : c ≤ b) (h₂ : 0 < c) : a / b ≤ a / c :=
(nat.le_div_iff_mul_le _ _ h₂).2 $
le_trans (mul_le_mul_left _ h₁) (div_mul_le_self _ _)
lemma div_eq_self {a b : ℕ} : a / b = a ↔ a = 0 ∨ b = 1 :=
begin
split,
{ intro,
cases b,
{ simp * at * },
{ cases b,
{ right, refl },
{ left,
have : a / (b + 2) ≤ a / 2 := div_le_div_left (by simp) dec_trivial,
refine eq_zero_of_le_half _,
simp * at * } } },
{ rintros (rfl|rfl); simp }
end
end div
lemma exists_eq_add_of_le : ∀ {m n : ℕ}, m ≤ n → ∃ k : ℕ, n = m + k
| 0 0 h := ⟨0, by simp⟩
| 0 (n+1) h := ⟨n+1, by simp⟩
| (m+1) (n+1) h :=
let ⟨k, hk⟩ := exists_eq_add_of_le (nat.le_of_succ_le_succ h) in
⟨k, by simp [hk, add_comm, add_left_comm]⟩
lemma exists_eq_add_of_lt : ∀ {m n : ℕ}, m < n → ∃ k : ℕ, n = m + k + 1
| 0 0 h := false.elim $ lt_irrefl _ h
| 0 (n+1) h := ⟨n, by simp⟩
| (m+1) (n+1) h := let ⟨k, hk⟩ := exists_eq_add_of_le (nat.le_of_succ_le_succ h) in ⟨k, by simp [hk]⟩
lemma with_bot.add_eq_zero_iff : ∀ {n m : with_bot ℕ}, n + m = 0 ↔ n = 0 ∧ m = 0
| none m := iff_of_false dec_trivial (λ h, absurd h.1 dec_trivial)
| n none := iff_of_false (by cases n; exact dec_trivial)
(λ h, absurd h.2 dec_trivial)
| (some n) (some m) := show (n + m : with_bot ℕ) = (0 : ℕ) ↔ (n : with_bot ℕ) = (0 : ℕ) ∧
(m : with_bot ℕ) = (0 : ℕ),
by rw [← with_bot.coe_add, with_bot.coe_eq_coe, with_bot.coe_eq_coe,
with_bot.coe_eq_coe, add_eq_zero_iff' (nat.zero_le _) (nat.zero_le _)]
lemma with_bot.add_eq_one_iff : ∀ {n m : with_bot ℕ}, n + m = 1 ↔ (n = 0 ∧ m = 1) ∨ (n = 1 ∧ m = 0)
| none none := dec_trivial
| none (some m) := dec_trivial
| (some n) none := iff_of_false dec_trivial (λ h, h.elim (λ h, absurd h.2 dec_trivial)
(λ h, absurd h.2 dec_trivial))
| (some n) (some 0) := by erw [with_bot.coe_eq_coe, with_bot.coe_eq_coe, with_bot.coe_eq_coe,
with_bot.coe_eq_coe]; simp
| (some n) (some (m + 1)) := by erw [with_bot.coe_eq_coe, with_bot.coe_eq_coe, with_bot.coe_eq_coe,
with_bot.coe_eq_coe, with_bot.coe_eq_coe]; simp [nat.add_succ, nat.succ_inj', nat.succ_ne_zero]
@[simp] lemma with_bot.coe_nonneg {n : ℕ} : 0 ≤ (n : with_bot ℕ) :=
by rw [← with_bot.coe_zero, with_bot.coe_le_coe]; exact nat.zero_le _
@[simp] lemma with_bot.lt_zero_iff (n : with_bot ℕ) : n < 0 ↔ n = ⊥ :=
option.cases_on n dec_trivial (λ n, iff_of_false
(by simp [with_bot.some_eq_coe]) (λ h, option.no_confusion h))
-- induction
/-- Induction principle starting at a non-zero number. For maps to a `Sort*` see `le_rec_on`. -/
@[elab_as_eliminator] lemma le_induction {P : nat → Prop} {m} (h0 : P m) (h1 : ∀ n, m ≤ n → P n → P (n + 1)) :
∀ n, m ≤ n → P n :=
by apply nat.less_than_or_equal.rec h0; exact h1
/-- Decreasing induction: if `P (k+1)` implies `P k`, then `P n` implies `P m` for all `m ≤ n`.
Also works for functions to `Sort*`. -/
@[elab_as_eliminator]
def decreasing_induction {P : ℕ → Sort*} (h : ∀n, P (n+1) → P n) {m n : ℕ} (mn : m ≤ n)
(hP : P n) : P m :=
le_rec_on mn (λ k ih hsk, ih $ h k hsk) (λ h, h) hP
@[simp] lemma decreasing_induction_self {P : ℕ → Sort*} (h : ∀n, P (n+1) → P n) {n : ℕ}
(nn : n ≤ n) (hP : P n) : (decreasing_induction h nn hP : P n) = hP :=
by { dunfold decreasing_induction, rw [le_rec_on_self] }
lemma decreasing_induction_succ {P : ℕ → Sort*} (h : ∀n, P (n+1) → P n) {m n : ℕ} (mn : m ≤ n)
(msn : m ≤ n + 1) (hP : P (n+1)) :
(decreasing_induction h msn hP : P m) = decreasing_induction h mn (h n hP) :=
by { dunfold decreasing_induction, rw [le_rec_on_succ] }
@[simp] lemma decreasing_induction_succ' {P : ℕ → Sort*} (h : ∀n, P (n+1) → P n) {m : ℕ}
(msm : m ≤ m + 1) (hP : P (m+1)) : (decreasing_induction h msm hP : P m) = h m hP :=
by { dunfold decreasing_induction, rw [le_rec_on_succ'] }
lemma decreasing_induction_trans {P : ℕ → Sort*} (h : ∀n, P (n+1) → P n) {m n k : ℕ}
(mn : m ≤ n) (nk : n ≤ k) (hP : P k) :
(decreasing_induction h (le_trans mn nk) hP : P m) =
decreasing_induction h mn (decreasing_induction h nk hP) :=
by { induction nk with k nk ih, rw [decreasing_induction_self],
rw [decreasing_induction_succ h (le_trans mn nk), ih, decreasing_induction_succ] }
lemma decreasing_induction_succ_left {P : ℕ → Sort*} (h : ∀n, P (n+1) → P n) {m n : ℕ}
(smn : m + 1 ≤ n) (mn : m ≤ n) (hP : P n) :
(decreasing_induction h mn hP : P m) = h m (decreasing_induction h smn hP) :=
by { rw [subsingleton.elim mn (le_trans (le_succ m) smn), decreasing_induction_trans,
decreasing_induction_succ'] }
end nat
|
866652856df33ded8b5e1c63584a67309e6e3b74 | 77c5b91fae1b966ddd1db969ba37b6f0e4901e88 | /src/data/finsupp/basic.lean | b28c4b5e26f5b4b331f2ec45a3749c620a580911 | [
"Apache-2.0"
] | permissive | dexmagic/mathlib | ff48eefc56e2412429b31d4fddd41a976eb287ce | 7a5d15a955a92a90e1d398b2281916b9c41270b2 | refs/heads/master | 1,693,481,322,046 | 1,633,360,193,000 | 1,633,360,193,000 | null | 0 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 108,775 | lean | /-
Copyright (c) 2017 Johannes Hölzl. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Johannes Hölzl, Scott Morrison
-/
import data.finset.preimage
import algebra.indicator_function
import algebra.group_action_hom
/-!
# Type of functions with finite support
For any type `α` and a type `M` with zero, we define the type `finsupp α M` (notation: `α →₀ M`)
of finitely supported functions from `α` to `M`, i.e. the functions which are zero everywhere
on `α` except on a finite set.
Functions with finite support are used (at least) in the following parts of the library:
* `monoid_algebra R M` and `add_monoid_algebra R M` are defined as `M →₀ R`;
* polynomials and multivariate polynomials are defined as `add_monoid_algebra`s, hence they use
`finsupp` under the hood;
* the linear combination of a family of vectors `v i` with coefficients `f i` (as used, e.g., to
define linearly independent family `linear_independent`) is defined as a map
`finsupp.total : (ι → M) → (ι →₀ R) →ₗ[R] M`.
Some other constructions are naturally equivalent to `α →₀ M` with some `α` and `M` but are defined
in a different way in the library:
* `multiset α ≃+ α →₀ ℕ`;
* `free_abelian_group α ≃+ α →₀ ℤ`.
Most of the theory assumes that the range is a commutative additive monoid. This gives us the big
sum operator as a powerful way to construct `finsupp` elements.
Many constructions based on `α →₀ M` use `semireducible` type tags to avoid reusing unwanted type
instances. E.g., `monoid_algebra`, `add_monoid_algebra`, and types based on these two have
non-pointwise multiplication.
## Notations
This file adds `α →₀ M` as a global notation for `finsupp α M`. We also use the following convention
for `Type*` variables in this file
* `α`, `β`, `γ`: types with no additional structure that appear as the first argument to `finsupp`
somewhere in the statement;
* `ι` : an auxiliary index type;
* `M`, `M'`, `N`, `P`: types with `has_zero` or `(add_)(comm_)monoid` structure; `M` is also used
for a (semi)module over a (semi)ring.
* `G`, `H`: groups (commutative or not, multiplicative or additive);
* `R`, `S`: (semi)rings.
## TODO
* This file is currently ~2K lines long, so possibly it should be splitted into smaller chunks;
* Add the list of definitions and important lemmas to the module docstring.
## Implementation notes
This file is a `noncomputable theory` and uses classical logic throughout.
## Notation
This file defines `α →₀ β` as notation for `finsupp α β`.
-/
noncomputable theory
open_locale classical big_operators
open finset
variables {α β γ ι M M' N P G H R S : Type*}
/-- `finsupp α M`, denoted `α →₀ M`, is the type of functions `f : α → M` such that
`f x = 0` for all but finitely many `x`. -/
structure finsupp (α : Type*) (M : Type*) [has_zero M] :=
(support : finset α)
(to_fun : α → M)
(mem_support_to_fun : ∀a, a ∈ support ↔ to_fun a ≠ 0)
infixr ` →₀ `:25 := finsupp
namespace finsupp
/-! ### Basic declarations about `finsupp` -/
section basic
variable [has_zero M]
instance : has_coe_to_fun (α →₀ M) := ⟨λ _, α → M, to_fun⟩
@[simp] lemma coe_mk (f : α → M) (s : finset α) (h : ∀ a, a ∈ s ↔ f a ≠ 0) :
⇑(⟨s, f, h⟩ : α →₀ M) = f := rfl
instance : has_zero (α →₀ M) := ⟨⟨∅, 0, λ _, ⟨false.elim, λ H, H rfl⟩⟩⟩
@[simp] lemma coe_zero : ⇑(0 : α →₀ M) = 0 := rfl
lemma zero_apply {a : α} : (0 : α →₀ M) a = 0 := rfl
@[simp] lemma support_zero : (0 : α →₀ M).support = ∅ := rfl
instance : inhabited (α →₀ M) := ⟨0⟩
@[simp] lemma mem_support_iff {f : α →₀ M} : ∀{a:α}, a ∈ f.support ↔ f a ≠ 0 :=
f.mem_support_to_fun
@[simp, norm_cast] lemma fun_support_eq (f : α →₀ M) : function.support f = f.support :=
set.ext $ λ x, mem_support_iff.symm
lemma not_mem_support_iff {f : α →₀ M} {a} : a ∉ f.support ↔ f a = 0 :=
not_iff_comm.1 mem_support_iff.symm
lemma coe_fn_injective : @function.injective (α →₀ M) (α → M) coe_fn
| ⟨s, f, hf⟩ ⟨t, g, hg⟩ h :=
begin
change f = g at h, subst h,
have : s = t, { ext a, exact (hf a).trans (hg a).symm },
subst this
end
@[simp, norm_cast] lemma coe_fn_inj {f g : α →₀ M} : (f : α → M) = g ↔ f = g :=
coe_fn_injective.eq_iff
@[simp, norm_cast] lemma coe_eq_zero {f : α →₀ M} : (f : α → M) = 0 ↔ f = 0 :=
by rw [← coe_zero, coe_fn_inj]
@[ext] lemma ext {f g : α →₀ M} (h : ∀a, f a = g a) : f = g := coe_fn_injective (funext h)
lemma ext_iff {f g : α →₀ M} : f = g ↔ (∀a:α, f a = g a) :=
⟨by rintros rfl a; refl, ext⟩
lemma ext_iff' {f g : α →₀ M} : f = g ↔ f.support = g.support ∧ ∀ x ∈ f.support, f x = g x :=
⟨λ h, h ▸ ⟨rfl, λ _ _, rfl⟩, λ ⟨h₁, h₂⟩, ext $ λ a,
if h : a ∈ f.support then h₂ a h else
have hf : f a = 0, from not_mem_support_iff.1 h,
have hg : g a = 0, by rwa [h₁, not_mem_support_iff] at h,
by rw [hf, hg]⟩
lemma congr_fun {f g : α →₀ M} (h : f = g) (a : α) : f a = g a :=
congr_fun (congr_arg finsupp.to_fun h) a
@[simp] lemma support_eq_empty {f : α →₀ M} : f.support = ∅ ↔ f = 0 :=
by exact_mod_cast @function.support_eq_empty_iff _ _ _ f
lemma support_nonempty_iff {f : α →₀ M} : f.support.nonempty ↔ f ≠ 0 :=
by simp only [finsupp.support_eq_empty, finset.nonempty_iff_ne_empty, ne.def]
lemma nonzero_iff_exists {f : α →₀ M} : f ≠ 0 ↔ ∃ a : α, f a ≠ 0 :=
by simp [← finsupp.support_eq_empty, finset.eq_empty_iff_forall_not_mem]
lemma card_support_eq_zero {f : α →₀ M} : card f.support = 0 ↔ f = 0 :=
by simp
instance [decidable_eq α] [decidable_eq M] : decidable_eq (α →₀ M) :=
assume f g, decidable_of_iff (f.support = g.support ∧ (∀a∈f.support, f a = g a)) ext_iff'.symm
lemma finite_support (f : α →₀ M) : set.finite (function.support f) :=
f.fun_support_eq.symm ▸ f.support.finite_to_set
lemma support_subset_iff {s : set α} {f : α →₀ M} :
↑f.support ⊆ s ↔ (∀a∉s, f a = 0) :=
by simp only [set.subset_def, mem_coe, mem_support_iff];
exact forall_congr (assume a, not_imp_comm)
/-- Given `fintype α`, `equiv_fun_on_fintype` is the `equiv` between `α →₀ β` and `α → β`.
(All functions on a finite type are finitely supported.) -/
@[simps] def equiv_fun_on_fintype [fintype α] : (α →₀ M) ≃ (α → M) :=
⟨λf a, f a, λf, mk (finset.univ.filter $ λa, f a ≠ 0) f (by simp only [true_and, finset.mem_univ,
iff_self, finset.mem_filter, finset.filter_congr_decidable, forall_true_iff]),
begin intro f, ext a, refl end,
begin intro f, ext a, refl end⟩
@[simp] lemma equiv_fun_on_fintype_symm_coe {α} [fintype α] (f : α →₀ M) :
equiv_fun_on_fintype.symm f = f :=
by { ext, simp [equiv_fun_on_fintype], }
end basic
/-! ### Declarations about `single` -/
section single
variables [has_zero M] {a a' : α} {b : M}
/-- `single a b` is the finitely supported function which has
value `b` at `a` and zero otherwise. -/
def single (a : α) (b : M) : α →₀ M :=
⟨if b = 0 then ∅ else {a}, λ a', if a = a' then b else 0, λ a', begin
by_cases hb : b = 0; by_cases a = a';
simp only [hb, h, if_pos, if_false, mem_singleton],
{ exact ⟨false.elim, λ H, H rfl⟩ },
{ exact ⟨false.elim, λ H, H rfl⟩ },
{ exact ⟨λ _, hb, λ _, rfl⟩ },
{ exact ⟨λ H _, h H.symm, λ H, (H rfl).elim⟩ }
end⟩
lemma single_apply [decidable (a = a')] : single a b a' = if a = a' then b else 0 :=
by convert rfl
lemma single_eq_indicator : ⇑(single a b) = set.indicator {a} (λ _, b) :=
by { ext, simp [single_apply, set.indicator, @eq_comm _ a] }
@[simp] lemma single_eq_same : (single a b : α →₀ M) a = b :=
if_pos rfl
@[simp] lemma single_eq_of_ne (h : a ≠ a') : (single a b : α →₀ M) a' = 0 :=
if_neg h
lemma single_eq_update : ⇑(single a b) = function.update 0 a b :=
by rw [single_eq_indicator, ← set.piecewise_eq_indicator, set.piecewise_singleton]
lemma single_eq_pi_single : ⇑(single a b) = pi.single a b :=
single_eq_update
@[simp] lemma single_zero : (single a 0 : α →₀ M) = 0 :=
coe_fn_injective $ by simpa only [single_eq_update, coe_zero]
using function.update_eq_self a (0 : α → M)
lemma single_of_single_apply (a a' : α) (b : M) :
single a ((single a' b) a) = single a' (single a' b) a :=
begin
rw [single_apply, single_apply],
ext,
split_ifs,
{ rw h, },
{ rw [zero_apply, single_apply, if_t_t], },
end
lemma support_single_ne_zero (hb : b ≠ 0) : (single a b).support = {a} :=
if_neg hb
lemma support_single_subset : (single a b).support ⊆ {a} :=
show ite _ _ _ ⊆ _, by split_ifs; [exact empty_subset _, exact subset.refl _]
lemma single_apply_mem (x) : single a b x ∈ ({0, b} : set M) :=
by rcases em (a = x) with (rfl|hx); [simp, simp [single_eq_of_ne hx]]
lemma range_single_subset : set.range (single a b) ⊆ {0, b} :=
set.range_subset_iff.2 single_apply_mem
/-- `finsupp.single a b` is injective in `b`. For the statement that it is injective in `a`, see
`finsupp.single_left_injective` -/
lemma single_injective (a : α) : function.injective (single a : M → α →₀ M) :=
assume b₁ b₂ eq,
have (single a b₁ : α →₀ M) a = (single a b₂ : α →₀ M) a, by rw eq,
by rwa [single_eq_same, single_eq_same] at this
lemma single_apply_eq_zero {a x : α} {b : M} : single a b x = 0 ↔ (x = a → b = 0) :=
by simp [single_eq_indicator]
lemma mem_support_single (a a' : α) (b : M) :
a ∈ (single a' b).support ↔ a = a' ∧ b ≠ 0 :=
by simp [single_apply_eq_zero, not_or_distrib]
lemma eq_single_iff {f : α →₀ M} {a b} : f = single a b ↔ f.support ⊆ {a} ∧ f a = b :=
begin
refine ⟨λ h, h.symm ▸ ⟨support_single_subset, single_eq_same⟩, _⟩,
rintro ⟨h, rfl⟩,
ext x,
by_cases hx : a = x; simp only [hx, single_eq_same, single_eq_of_ne, ne.def, not_false_iff],
exact not_mem_support_iff.1 (mt (λ hx, (mem_singleton.1 (h hx)).symm) hx)
end
lemma single_eq_single_iff (a₁ a₂ : α) (b₁ b₂ : M) :
single a₁ b₁ = single a₂ b₂ ↔ ((a₁ = a₂ ∧ b₁ = b₂) ∨ (b₁ = 0 ∧ b₂ = 0)) :=
begin
split,
{ assume eq,
by_cases a₁ = a₂,
{ refine or.inl ⟨h, _⟩,
rwa [h, (single_injective a₂).eq_iff] at eq },
{ rw [ext_iff] at eq,
have h₁ := eq a₁,
have h₂ := eq a₂,
simp only [single_eq_same, single_eq_of_ne h, single_eq_of_ne (ne.symm h)] at h₁ h₂,
exact or.inr ⟨h₁, h₂.symm⟩ } },
{ rintros (⟨rfl, rfl⟩ | ⟨rfl, rfl⟩),
{ refl },
{ rw [single_zero, single_zero] } }
end
/-- `finsupp.single a b` is injective in `a`. For the statement that it is injective in `b`, see
`finsupp.single_injective` -/
lemma single_left_injective (h : b ≠ 0) : function.injective (λ a : α, single a b) :=
λ a a' H, (((single_eq_single_iff _ _ _ _).mp H).resolve_right $ λ hb, h hb.1).left
lemma single_left_inj (h : b ≠ 0) : single a b = single a' b ↔ a = a' :=
(single_left_injective h).eq_iff
lemma support_single_ne_bot (i : α) (h : b ≠ 0) :
(single i b).support ≠ ⊥ :=
begin
have : i ∈ (single i b).support := by simpa using h,
intro H,
simpa [H]
end
lemma support_single_disjoint {b' : M} (hb : b ≠ 0) (hb' : b' ≠ 0) {i j : α} :
disjoint (single i b).support (single j b').support ↔ i ≠ j :=
by simpa [support_single_ne_zero, hb, hb'] using ne_comm
@[simp] lemma single_eq_zero : single a b = 0 ↔ b = 0 :=
by simp [ext_iff, single_eq_indicator]
lemma single_swap (a₁ a₂ : α) (b : M) : single a₁ b a₂ = single a₂ b a₁ :=
by simp only [single_apply]; ac_refl
instance [nonempty α] [nontrivial M] : nontrivial (α →₀ M) :=
begin
inhabit α,
rcases exists_ne (0 : M) with ⟨x, hx⟩,
exact nontrivial_of_ne (single (default α) x) 0 (mt single_eq_zero.1 hx)
end
lemma unique_single [unique α] (x : α →₀ M) : x = single (default α) (x (default α)) :=
ext $ unique.forall_iff.2 single_eq_same.symm
lemma unique_ext [unique α] {f g : α →₀ M} (h : f (default α) = g (default α)) : f = g :=
ext $ λ a, by rwa [unique.eq_default a]
lemma unique_ext_iff [unique α] {f g : α →₀ M} : f = g ↔ f (default α) = g (default α) :=
⟨λ h, h ▸ rfl, unique_ext⟩
@[simp] lemma unique_single_eq_iff [unique α] {b' : M} :
single a b = single a' b' ↔ b = b' :=
by rw [unique_ext_iff, unique.eq_default a, unique.eq_default a', single_eq_same, single_eq_same]
lemma support_eq_singleton {f : α →₀ M} {a : α} :
f.support = {a} ↔ f a ≠ 0 ∧ f = single a (f a) :=
⟨λ h, ⟨mem_support_iff.1 $ h.symm ▸ finset.mem_singleton_self a,
eq_single_iff.2 ⟨subset_of_eq h, rfl⟩⟩, λ h, h.2.symm ▸ support_single_ne_zero h.1⟩
lemma support_eq_singleton' {f : α →₀ M} {a : α} :
f.support = {a} ↔ ∃ b ≠ 0, f = single a b :=
⟨λ h, let h := support_eq_singleton.1 h in ⟨_, h.1, h.2⟩,
λ ⟨b, hb, hf⟩, hf.symm ▸ support_single_ne_zero hb⟩
lemma card_support_eq_one {f : α →₀ M} : card f.support = 1 ↔ ∃ a, f a ≠ 0 ∧ f = single a (f a) :=
by simp only [card_eq_one, support_eq_singleton]
lemma card_support_eq_one' {f : α →₀ M} : card f.support = 1 ↔ ∃ a (b ≠ 0), f = single a b :=
by simp only [card_eq_one, support_eq_singleton']
@[simp] lemma equiv_fun_on_fintype_single [fintype α] (x : α) (m : M) :
(@finsupp.equiv_fun_on_fintype α M _ _) (finsupp.single x m) = pi.single x m :=
by { ext, simp [finsupp.single_eq_pi_single, finsupp.equiv_fun_on_fintype], }
@[simp] lemma equiv_fun_on_fintype_symm_single [fintype α] (x : α) (m : M) :
(@finsupp.equiv_fun_on_fintype α M _ _).symm (pi.single x m) = finsupp.single x m :=
by { ext, simp [finsupp.single_eq_pi_single, finsupp.equiv_fun_on_fintype], }
end single
/-! ### Declarations about `update` -/
section update
variables [has_zero M] (f : α →₀ M) (a : α) (b : M) (i : α)
/-- Replace the value of a `α →₀ M` at a given point `a : α` by a given value `b : M`.
If `b = 0`, this amounts to removing `a` from the `finsupp.support`.
Otherwise, if `a` was not in the `finsupp.support`, it is added to it.
This is the finitely-supported version of `function.update`. -/
def update : α →₀ M :=
⟨if b = 0 then f.support.erase a else insert a f.support,
function.update f a b,
λ i, begin
simp only [function.update_apply, ne.def],
split_ifs with hb ha ha hb;
simp [ha, hb]
end⟩
@[simp] lemma coe_update : (f.update a b : α → M) = function.update f a b := rfl
@[simp] lemma update_self : f.update a (f a) = f :=
by { ext, simp }
lemma support_update : support (f.update a b) =
if b = 0 then f.support.erase a else insert a f.support := rfl
@[simp] lemma support_update_zero : support (f.update a 0) = f.support.erase a := if_pos rfl
variables {b}
lemma support_update_ne_zero (h : b ≠ 0) : support (f.update a b) = insert a f.support := if_neg h
end update
/-! ### Declarations about `on_finset` -/
section on_finset
variables [has_zero M]
/-- `on_finset s f hf` is the finsupp function representing `f` restricted to the finset `s`.
The function needs to be `0` outside of `s`. Use this when the set needs to be filtered anyways,
otherwise a better set representation is often available. -/
def on_finset (s : finset α) (f : α → M) (hf : ∀a, f a ≠ 0 → a ∈ s) : α →₀ M :=
⟨s.filter (λa, f a ≠ 0), f, by simpa⟩
@[simp] lemma on_finset_apply {s : finset α} {f : α → M} {hf a} :
(on_finset s f hf : α →₀ M) a = f a :=
rfl
@[simp] lemma support_on_finset_subset {s : finset α} {f : α → M} {hf} :
(on_finset s f hf).support ⊆ s :=
filter_subset _ _
@[simp] lemma mem_support_on_finset
{s : finset α} {f : α → M} (hf : ∀ (a : α), f a ≠ 0 → a ∈ s) {a : α} :
a ∈ (finsupp.on_finset s f hf).support ↔ f a ≠ 0 :=
by rw [finsupp.mem_support_iff, finsupp.on_finset_apply]
lemma support_on_finset
{s : finset α} {f : α → M} (hf : ∀ (a : α), f a ≠ 0 → a ∈ s) :
(finsupp.on_finset s f hf).support = s.filter (λ a, f a ≠ 0) :=
rfl
end on_finset
section of_support_finite
variables [has_zero M]
/-- The natural `finsupp` induced by the function `f` given that it has finite support. -/
noncomputable def of_support_finite
(f : α → M) (hf : (function.support f).finite) : α →₀ M :=
{ support := hf.to_finset,
to_fun := f,
mem_support_to_fun := λ _, hf.mem_to_finset }
lemma of_support_finite_coe {f : α → M} {hf : (function.support f).finite} :
(of_support_finite f hf : α → M) = f := rfl
instance : can_lift (α → M) (α →₀ M) :=
{ coe := coe_fn,
cond := λ f, (function.support f).finite,
prf := λ f hf, ⟨of_support_finite f hf, rfl⟩ }
end of_support_finite
/-! ### Declarations about `map_range` -/
section map_range
variables [has_zero M] [has_zero N] [has_zero P]
/-- The composition of `f : M → N` and `g : α →₀ M` is
`map_range f hf g : α →₀ N`, well-defined when `f 0 = 0`.
This preserves the structure on `f`, and exists in various bundled forms for when `f` is itself
bundled:
* `finsupp.map_range.equiv`
* `finsupp.map_range.zero_hom`
* `finsupp.map_range.add_monoid_hom`
* `finsupp.map_range.add_equiv`
* `finsupp.map_range.linear_map`
* `finsupp.map_range.linear_equiv`
-/
def map_range (f : M → N) (hf : f 0 = 0) (g : α →₀ M) : α →₀ N :=
on_finset g.support (f ∘ g) $
assume a, by rw [mem_support_iff, not_imp_not]; exact λ H, (congr_arg f H).trans hf
@[simp] lemma map_range_apply {f : M → N} {hf : f 0 = 0} {g : α →₀ M} {a : α} :
map_range f hf g a = f (g a) :=
rfl
@[simp] lemma map_range_zero {f : M → N} {hf : f 0 = 0} : map_range f hf (0 : α →₀ M) = 0 :=
ext $ λ a, by simp only [hf, zero_apply, map_range_apply]
@[simp] lemma map_range_id (g : α →₀ M) : map_range id rfl g = g :=
ext $ λ _, rfl
lemma map_range_comp
(f : N → P) (hf : f 0 = 0) (f₂ : M → N) (hf₂ : f₂ 0 = 0) (h : (f ∘ f₂) 0 = 0) (g : α →₀ M) :
map_range (f ∘ f₂) h g = map_range f hf (map_range f₂ hf₂ g) :=
ext $ λ _, rfl
lemma support_map_range {f : M → N} {hf : f 0 = 0} {g : α →₀ M} :
(map_range f hf g).support ⊆ g.support :=
support_on_finset_subset
@[simp] lemma map_range_single {f : M → N} {hf : f 0 = 0} {a : α} {b : M} :
map_range f hf (single a b) = single a (f b) :=
ext $ λ a', show f (ite _ _ _) = ite _ _ _, by split_ifs; [refl, exact hf]
end map_range
/-! ### Declarations about `emb_domain` -/
section emb_domain
variables [has_zero M] [has_zero N]
/-- Given `f : α ↪ β` and `v : α →₀ M`, `emb_domain f v : β →₀ M`
is the finitely supported function whose value at `f a : β` is `v a`.
For a `b : β` outside the range of `f`, it is zero. -/
def emb_domain (f : α ↪ β) (v : α →₀ M) : β →₀ M :=
begin
refine ⟨v.support.map f, λa₂,
if h : a₂ ∈ v.support.map f then v (v.support.choose (λa₁, f a₁ = a₂) _) else 0, _⟩,
{ rcases finset.mem_map.1 h with ⟨a, ha, rfl⟩,
exact exists_unique.intro a ⟨ha, rfl⟩ (assume b ⟨_, hb⟩, f.injective hb) },
{ assume a₂,
split_ifs,
{ simp only [h, true_iff, ne.def],
rw [← not_mem_support_iff, not_not],
apply finset.choose_mem },
{ simp only [h, ne.def, ne_self_iff_false] } }
end
@[simp] lemma support_emb_domain (f : α ↪ β) (v : α →₀ M) :
(emb_domain f v).support = v.support.map f :=
rfl
@[simp] lemma emb_domain_zero (f : α ↪ β) : (emb_domain f 0 : β →₀ M) = 0 :=
rfl
@[simp] lemma emb_domain_apply (f : α ↪ β) (v : α →₀ M) (a : α) :
emb_domain f v (f a) = v a :=
begin
change dite _ _ _ = _,
split_ifs; rw [finset.mem_map' f] at h,
{ refine congr_arg (v : α → M) (f.inj' _),
exact finset.choose_property (λa₁, f a₁ = f a) _ _ },
{ exact (not_mem_support_iff.1 h).symm }
end
lemma emb_domain_notin_range (f : α ↪ β) (v : α →₀ M) (a : β) (h : a ∉ set.range f) :
emb_domain f v a = 0 :=
begin
refine dif_neg (mt (assume h, _) h),
rcases finset.mem_map.1 h with ⟨a, h, rfl⟩,
exact set.mem_range_self a
end
lemma emb_domain_injective (f : α ↪ β) :
function.injective (emb_domain f : (α →₀ M) → (β →₀ M)) :=
λ l₁ l₂ h, ext $ λ a, by simpa only [emb_domain_apply] using ext_iff.1 h (f a)
@[simp] lemma emb_domain_inj {f : α ↪ β} {l₁ l₂ : α →₀ M} :
emb_domain f l₁ = emb_domain f l₂ ↔ l₁ = l₂ :=
(emb_domain_injective f).eq_iff
@[simp] lemma emb_domain_eq_zero {f : α ↪ β} {l : α →₀ M} :
emb_domain f l = 0 ↔ l = 0 :=
(emb_domain_injective f).eq_iff' $ emb_domain_zero f
lemma emb_domain_map_range
(f : α ↪ β) (g : M → N) (p : α →₀ M) (hg : g 0 = 0) :
emb_domain f (map_range g hg p) = map_range g hg (emb_domain f p) :=
begin
ext a,
by_cases a ∈ set.range f,
{ rcases h with ⟨a', rfl⟩,
rw [map_range_apply, emb_domain_apply, emb_domain_apply, map_range_apply] },
{ rw [map_range_apply, emb_domain_notin_range, emb_domain_notin_range, ← hg]; assumption }
end
lemma single_of_emb_domain_single
(l : α →₀ M) (f : α ↪ β) (a : β) (b : M) (hb : b ≠ 0)
(h : l.emb_domain f = single a b) :
∃ x, l = single x b ∧ f x = a :=
begin
have h_map_support : finset.map f (l.support) = {a},
by rw [←support_emb_domain, h, support_single_ne_zero hb]; refl,
have ha : a ∈ finset.map f (l.support),
by simp only [h_map_support, finset.mem_singleton],
rcases finset.mem_map.1 ha with ⟨c, hc₁, hc₂⟩,
use c,
split,
{ ext d,
rw [← emb_domain_apply f l, h],
by_cases h_cases : c = d,
{ simp only [eq.symm h_cases, hc₂, single_eq_same] },
{ rw [single_apply, single_apply, if_neg, if_neg h_cases],
by_contra hfd,
exact h_cases (f.injective (hc₂.trans hfd)) } },
{ exact hc₂ }
end
@[simp] lemma emb_domain_single (f : α ↪ β) (a : α) (m : M) :
emb_domain f (single a m) = single (f a) m :=
begin
ext b,
by_cases h : b ∈ set.range f,
{ rcases h with ⟨a', rfl⟩,
simp [single_apply], },
{ simp only [emb_domain_notin_range, h, single_apply, not_false_iff],
rw if_neg,
rintro rfl,
simpa using h, },
end
end emb_domain
/-! ### Declarations about `zip_with` -/
section zip_with
variables [has_zero M] [has_zero N] [has_zero P]
/-- `zip_with f hf g₁ g₂` is the finitely supported function satisfying
`zip_with f hf g₁ g₂ a = f (g₁ a) (g₂ a)`, and it is well-defined when `f 0 0 = 0`. -/
def zip_with (f : M → N → P) (hf : f 0 0 = 0) (g₁ : α →₀ M) (g₂ : α →₀ N) : (α →₀ P) :=
on_finset (g₁.support ∪ g₂.support) (λa, f (g₁ a) (g₂ a)) $ λ a H,
begin
simp only [mem_union, mem_support_iff, ne], rw [← not_and_distrib],
rintro ⟨h₁, h₂⟩, rw [h₁, h₂] at H, exact H hf
end
@[simp] lemma zip_with_apply
{f : M → N → P} {hf : f 0 0 = 0} {g₁ : α →₀ M} {g₂ : α →₀ N} {a : α} :
zip_with f hf g₁ g₂ a = f (g₁ a) (g₂ a) :=
rfl
lemma support_zip_with [D : decidable_eq α] {f : M → N → P} {hf : f 0 0 = 0}
{g₁ : α →₀ M} {g₂ : α →₀ N} : (zip_with f hf g₁ g₂).support ⊆ g₁.support ∪ g₂.support :=
by rw subsingleton.elim D; exact support_on_finset_subset
end zip_with
/-! ### Declarations about `erase` -/
section erase
variables [has_zero M]
/-- `erase a f` is the finitely supported function equal to `f` except at `a` where it is equal to
`0`. -/
def erase (a : α) (f : α →₀ M) : α →₀ M :=
⟨f.support.erase a, (λa', if a' = a then 0 else f a'),
assume a', by rw [mem_erase, mem_support_iff]; split_ifs;
[exact ⟨λ H _, H.1 h, λ H, (H rfl).elim⟩,
exact and_iff_right h]⟩
@[simp] lemma support_erase {a : α} {f : α →₀ M} :
(f.erase a).support = f.support.erase a :=
rfl
@[simp] lemma erase_same {a : α} {f : α →₀ M} : (f.erase a) a = 0 :=
if_pos rfl
@[simp] lemma erase_ne {a a' : α} {f : α →₀ M} (h : a' ≠ a) : (f.erase a) a' = f a' :=
if_neg h
@[simp] lemma erase_single {a : α} {b : M} : (erase a (single a b)) = 0 :=
begin
ext s, by_cases hs : s = a,
{ rw [hs, erase_same], refl },
{ rw [erase_ne hs], exact single_eq_of_ne (ne.symm hs) }
end
lemma erase_single_ne {a a' : α} {b : M} (h : a ≠ a') : (erase a (single a' b)) = single a' b :=
begin
ext s, by_cases hs : s = a,
{ rw [hs, erase_same, single_eq_of_ne (h.symm)] },
{ rw [erase_ne hs] }
end
@[simp] lemma erase_zero (a : α) : erase a (0 : α →₀ M) = 0 :=
by rw [← support_eq_empty, support_erase, support_zero, erase_empty]
end erase
/-!
### Declarations about `sum` and `prod`
In most of this section, the domain `β` is assumed to be an `add_monoid`.
-/
section sum_prod
-- [to_additive sum] for finsupp.prod doesn't work, the equation lemmas are not generated
/-- `sum f g` is the sum of `g a (f a)` over the support of `f`. -/
def sum [has_zero M] [add_comm_monoid N] (f : α →₀ M) (g : α → M → N) : N :=
∑ a in f.support, g a (f a)
/-- `prod f g` is the product of `g a (f a)` over the support of `f`. -/
@[to_additive]
def prod [has_zero M] [comm_monoid N] (f : α →₀ M) (g : α → M → N) : N :=
∏ a in f.support, g a (f a)
variables [has_zero M] [has_zero M'] [comm_monoid N]
@[to_additive]
lemma prod_of_support_subset (f : α →₀ M) {s : finset α}
(hs : f.support ⊆ s) (g : α → M → N) (h : ∀ i ∈ s, g i 0 = 1) :
f.prod g = ∏ x in s, g x (f x) :=
finset.prod_subset hs $ λ x hxs hx, h x hxs ▸ congr_arg (g x) $ not_mem_support_iff.1 hx
@[to_additive]
lemma prod_fintype [fintype α] (f : α →₀ M) (g : α → M → N) (h : ∀ i, g i 0 = 1) :
f.prod g = ∏ i, g i (f i) :=
f.prod_of_support_subset (subset_univ _) g (λ x _, h x)
@[simp, to_additive]
lemma prod_single_index {a : α} {b : M} {h : α → M → N} (h_zero : h a 0 = 1) :
(single a b).prod h = h a b :=
calc (single a b).prod h = ∏ x in {a}, h x (single a b x) :
prod_of_support_subset _ support_single_subset h $ λ x hx, (mem_singleton.1 hx).symm ▸ h_zero
... = h a b : by simp
@[to_additive]
lemma prod_map_range_index {f : M → M'} {hf : f 0 = 0} {g : α →₀ M} {h : α → M' → N}
(h0 : ∀a, h a 0 = 1) : (map_range f hf g).prod h = g.prod (λa b, h a (f b)) :=
finset.prod_subset support_map_range $ λ _ _ H,
by rw [not_mem_support_iff.1 H, h0]
@[simp, to_additive]
lemma prod_zero_index {h : α → M → N} : (0 : α →₀ M).prod h = 1 := rfl
@[to_additive]
lemma prod_comm (f : α →₀ M) (g : β →₀ M') (h : α → M → β → M' → N) :
f.prod (λ x v, g.prod (λ x' v', h x v x' v')) = g.prod (λ x' v', f.prod (λ x v, h x v x' v')) :=
finset.prod_comm
@[simp, to_additive]
lemma prod_ite_eq [decidable_eq α] (f : α →₀ M) (a : α) (b : α → M → N) :
f.prod (λ x v, ite (a = x) (b x v) 1) = ite (a ∈ f.support) (b a (f a)) 1 :=
by { dsimp [finsupp.prod], rw f.support.prod_ite_eq, }
@[simp] lemma sum_ite_self_eq
[decidable_eq α] {N : Type*} [add_comm_monoid N] (f : α →₀ N) (a : α) :
f.sum (λ x v, ite (a = x) v 0) = f a :=
by { convert f.sum_ite_eq a (λ x, id), simp [ite_eq_right_iff.2 eq.symm] }
/-- A restatement of `prod_ite_eq` with the equality test reversed. -/
@[simp, to_additive "A restatement of `sum_ite_eq` with the equality test reversed."]
lemma prod_ite_eq' [decidable_eq α] (f : α →₀ M) (a : α) (b : α → M → N) :
f.prod (λ x v, ite (x = a) (b x v) 1) = ite (a ∈ f.support) (b a (f a)) 1 :=
by { dsimp [finsupp.prod], rw f.support.prod_ite_eq', }
@[simp] lemma sum_ite_self_eq'
[decidable_eq α] {N : Type*} [add_comm_monoid N] (f : α →₀ N) (a : α) :
f.sum (λ x v, ite (x = a) v 0) = f a :=
by { convert f.sum_ite_eq' a (λ x, id), simp [ite_eq_right_iff.2 eq.symm] }
@[simp] lemma prod_pow [fintype α] (f : α →₀ ℕ) (g : α → N) :
f.prod (λ a b, g a ^ b) = ∏ a, g a ^ (f a) :=
f.prod_fintype _ $ λ a, pow_zero _
/-- If `g` maps a second argument of 0 to 1, then multiplying it over the
result of `on_finset` is the same as multiplying it over the original
`finset`. -/
@[to_additive "If `g` maps a second argument of 0 to 0, summing it over the
result of `on_finset` is the same as summing it over the original
`finset`."]
lemma on_finset_prod {s : finset α} {f : α → M} {g : α → M → N}
(hf : ∀a, f a ≠ 0 → a ∈ s) (hg : ∀ a, g a 0 = 1) :
(on_finset s f hf).prod g = ∏ a in s, g a (f a) :=
finset.prod_subset support_on_finset_subset $ by simp [*] { contextual := tt }
@[to_additive]
lemma _root_.submonoid.finsupp_prod_mem (S : submonoid N) (f : α →₀ M) (g : α → M → N)
(h : ∀ c, f c ≠ 0 → g c (f c) ∈ S) : f.prod g ∈ S :=
S.prod_mem $ λ i hi, h _ (finsupp.mem_support_iff.mp hi)
end sum_prod
/-!
### Additive monoid structure on `α →₀ M`
-/
section add_zero_class
variables [add_zero_class M]
instance : has_add (α →₀ M) := ⟨zip_with (+) (add_zero 0)⟩
@[simp] lemma coe_add (f g : α →₀ M) : ⇑(f + g) = f + g := rfl
lemma add_apply (g₁ g₂ : α →₀ M) (a : α) : (g₁ + g₂) a = g₁ a + g₂ a := rfl
lemma support_add [decidable_eq α] {g₁ g₂ : α →₀ M} :
(g₁ + g₂).support ⊆ g₁.support ∪ g₂.support :=
support_zip_with
lemma support_add_eq [decidable_eq α] {g₁ g₂ : α →₀ M} (h : disjoint g₁.support g₂.support) :
(g₁ + g₂).support = g₁.support ∪ g₂.support :=
le_antisymm support_zip_with $ assume a ha,
(finset.mem_union.1 ha).elim
(assume ha, have a ∉ g₂.support, from disjoint_left.1 h ha,
by simp only [mem_support_iff, not_not] at *;
simpa only [add_apply, this, add_zero])
(assume ha, have a ∉ g₁.support, from disjoint_right.1 h ha,
by simp only [mem_support_iff, not_not] at *;
simpa only [add_apply, this, zero_add])
@[simp] lemma single_add {a : α} {b₁ b₂ : M} : single a (b₁ + b₂) = single a b₁ + single a b₂ :=
ext $ assume a',
begin
by_cases h : a = a',
{ rw [h, add_apply, single_eq_same, single_eq_same, single_eq_same] },
{ rw [add_apply, single_eq_of_ne h, single_eq_of_ne h, single_eq_of_ne h, zero_add] }
end
instance : add_zero_class (α →₀ M) :=
{ zero := 0,
add := (+),
zero_add := assume ⟨s, f, hf⟩, ext $ assume a, zero_add _,
add_zero := assume ⟨s, f, hf⟩, ext $ assume a, add_zero _ }
/-- `finsupp.single` as an `add_monoid_hom`.
See `finsupp.lsingle` for the stronger version as a linear map.
-/
@[simps] def single_add_hom (a : α) : M →+ α →₀ M :=
⟨single a, single_zero, λ _ _, single_add⟩
/-- Evaluation of a function `f : α →₀ M` at a point as an additive monoid homomorphism.
See `finsupp.lapply` for the stronger version as a linear map. -/
@[simps apply]
def apply_add_hom (a : α) : (α →₀ M) →+ M := ⟨λ g, g a, zero_apply, λ _ _, add_apply _ _ _⟩
lemma update_eq_single_add_erase (f : α →₀ M) (a : α) (b : M) :
f.update a b = single a b + f.erase a :=
begin
ext j,
rcases eq_or_ne a j with rfl|h,
{ simp },
{ simp [function.update_noteq h.symm, single_apply, h, erase_ne, h.symm] }
end
lemma update_eq_erase_add_single (f : α →₀ M) (a : α) (b : M) :
f.update a b = f.erase a + single a b :=
begin
ext j,
rcases eq_or_ne a j with rfl|h,
{ simp },
{ simp [function.update_noteq h.symm, single_apply, h, erase_ne, h.symm] }
end
lemma single_add_erase (a : α) (f : α →₀ M) : single a (f a) + f.erase a = f :=
by rw [←update_eq_single_add_erase, update_self]
lemma erase_add_single (a : α) (f : α →₀ M) : f.erase a + single a (f a) = f :=
by rw [←update_eq_erase_add_single, update_self]
@[simp] lemma erase_add (a : α) (f f' : α →₀ M) : erase a (f + f') = erase a f + erase a f' :=
begin
ext s, by_cases hs : s = a,
{ rw [hs, add_apply, erase_same, erase_same, erase_same, add_zero] },
rw [add_apply, erase_ne hs, erase_ne hs, erase_ne hs, add_apply],
end
/-- `finsupp.erase` as an `add_monoid_hom`. -/
@[simps]
def erase_add_hom (a : α) : (α →₀ M) →+ (α →₀ M) :=
{ to_fun := erase a, map_zero' := erase_zero a, map_add' := erase_add a }
@[elab_as_eliminator]
protected theorem induction {p : (α →₀ M) → Prop} (f : α →₀ M)
(h0 : p 0) (ha : ∀a b (f : α →₀ M), a ∉ f.support → b ≠ 0 → p f → p (single a b + f)) :
p f :=
suffices ∀s (f : α →₀ M), f.support = s → p f, from this _ _ rfl,
assume s, finset.induction_on s (λ f hf, by rwa [support_eq_empty.1 hf]) $
assume a s has ih f hf,
suffices p (single a (f a) + f.erase a), by rwa [single_add_erase] at this,
begin
apply ha,
{ rw [support_erase, mem_erase], exact λ H, H.1 rfl },
{ rw [← mem_support_iff, hf], exact mem_insert_self _ _ },
{ apply ih _ _,
rw [support_erase, hf, finset.erase_insert has] }
end
lemma induction₂ {p : (α →₀ M) → Prop} (f : α →₀ M)
(h0 : p 0) (ha : ∀a b (f : α →₀ M), a ∉ f.support → b ≠ 0 → p f → p (f + single a b)) :
p f :=
suffices ∀s (f : α →₀ M), f.support = s → p f, from this _ _ rfl,
assume s, finset.induction_on s (λ f hf, by rwa [support_eq_empty.1 hf]) $
assume a s has ih f hf,
suffices p (f.erase a + single a (f a)), by rwa [erase_add_single] at this,
begin
apply ha,
{ rw [support_erase, mem_erase], exact λ H, H.1 rfl },
{ rw [← mem_support_iff, hf], exact mem_insert_self _ _ },
{ apply ih _ _,
rw [support_erase, hf, finset.erase_insert has] }
end
lemma induction_linear {p : (α →₀ M) → Prop} (f : α →₀ M)
(h0 : p 0) (hadd : ∀ f g : α →₀ M, p f → p g → p (f + g)) (hsingle : ∀ a b, p (single a b)) :
p f :=
induction₂ f h0 (λ a b f _ _ w, hadd _ _ w (hsingle _ _))
@[simp] lemma add_closure_Union_range_single :
add_submonoid.closure (⋃ a : α, set.range (single a : M → α →₀ M)) = ⊤ :=
top_unique $ λ x hx, finsupp.induction x (add_submonoid.zero_mem _) $
λ a b f ha hb hf, add_submonoid.add_mem _
(add_submonoid.subset_closure $ set.mem_Union.2 ⟨a, set.mem_range_self _⟩) hf
/-- If two additive homomorphisms from `α →₀ M` are equal on each `single a b`, then
they are equal. -/
lemma add_hom_ext [add_zero_class N] ⦃f g : (α →₀ M) →+ N⦄
(H : ∀ x y, f (single x y) = g (single x y)) :
f = g :=
begin
refine add_monoid_hom.eq_of_eq_on_mdense add_closure_Union_range_single (λ f hf, _),
simp only [set.mem_Union, set.mem_range] at hf,
rcases hf with ⟨x, y, rfl⟩,
apply H
end
/-- If two additive homomorphisms from `α →₀ M` are equal on each `single a b`, then
they are equal.
We formulate this using equality of `add_monoid_hom`s so that `ext` tactic can apply a type-specific
extensionality lemma after this one. E.g., if the fiber `M` is `ℕ` or `ℤ`, then it suffices to
verify `f (single a 1) = g (single a 1)`. -/
@[ext] lemma add_hom_ext' [add_zero_class N] ⦃f g : (α →₀ M) →+ N⦄
(H : ∀ x, f.comp (single_add_hom x) = g.comp (single_add_hom x)) :
f = g :=
add_hom_ext $ λ x, add_monoid_hom.congr_fun (H x)
lemma mul_hom_ext [mul_one_class N] ⦃f g : multiplicative (α →₀ M) →* N⦄
(H : ∀ x y, f (multiplicative.of_add $ single x y) = g (multiplicative.of_add $ single x y)) :
f = g :=
monoid_hom.ext $ add_monoid_hom.congr_fun $
@add_hom_ext α M (additive N) _ _ f.to_additive'' g.to_additive'' H
@[ext] lemma mul_hom_ext' [mul_one_class N] {f g : multiplicative (α →₀ M) →* N}
(H : ∀ x, f.comp (single_add_hom x).to_multiplicative =
g.comp (single_add_hom x).to_multiplicative) :
f = g :=
mul_hom_ext $ λ x, monoid_hom.congr_fun (H x)
lemma map_range_add [add_zero_class N]
{f : M → N} {hf : f 0 = 0} (hf' : ∀ x y, f (x + y) = f x + f y) (v₁ v₂ : α →₀ M) :
map_range f hf (v₁ + v₂) = map_range f hf v₁ + map_range f hf v₂ :=
ext $ λ a, by simp only [hf', add_apply, map_range_apply]
/-- Bundle `emb_domain f` as an additive map from `α →₀ M` to `β →₀ M`. -/
@[simps] def emb_domain.add_monoid_hom (f : α ↪ β) : (α →₀ M) →+ (β →₀ M) :=
{ to_fun := λ v, emb_domain f v,
map_zero' := by simp,
map_add' := λ v w,
begin
ext b,
by_cases h : b ∈ set.range f,
{ rcases h with ⟨a, rfl⟩,
simp, },
{ simp [emb_domain_notin_range, h], },
end, }
@[simp] lemma emb_domain_add (f : α ↪ β) (v w : α →₀ M) :
emb_domain f (v + w) = emb_domain f v + emb_domain f w :=
(emb_domain.add_monoid_hom f).map_add v w
end add_zero_class
section add_monoid
variables [add_monoid M]
instance : add_monoid (α →₀ M) :=
{ add_monoid .
zero := 0,
add := (+),
add_assoc := assume ⟨s, f, hf⟩ ⟨t, g, hg⟩ ⟨u, h, hh⟩, ext $ assume a, add_assoc _ _ _,
nsmul := λ n v, v.map_range ((•) n) (nsmul_zero _),
nsmul_zero' := λ v, by { ext i, simp },
nsmul_succ' := λ n v, by { ext i, simp [nat.succ_eq_one_add, add_nsmul] },
.. finsupp.add_zero_class }
end add_monoid
end finsupp
@[to_additive]
lemma mul_equiv.map_finsupp_prod [has_zero M] [comm_monoid N] [comm_monoid P]
(h : N ≃* P) (f : α →₀ M) (g : α → M → N) : h (f.prod g) = f.prod (λ a b, h (g a b)) :=
h.map_prod _ _
@[to_additive]
lemma monoid_hom.map_finsupp_prod [has_zero M] [comm_monoid N] [comm_monoid P]
(h : N →* P) (f : α →₀ M) (g : α → M → N) : h (f.prod g) = f.prod (λ a b, h (g a b)) :=
h.map_prod _ _
lemma ring_hom.map_finsupp_sum [has_zero M] [semiring R] [semiring S]
(h : R →+* S) (f : α →₀ M) (g : α → M → R) : h (f.sum g) = f.sum (λ a b, h (g a b)) :=
h.map_sum _ _
lemma ring_hom.map_finsupp_prod [has_zero M] [comm_semiring R] [comm_semiring S]
(h : R →+* S) (f : α →₀ M) (g : α → M → R) : h (f.prod g) = f.prod (λ a b, h (g a b)) :=
h.map_prod _ _
@[to_additive]
lemma monoid_hom.coe_finsupp_prod [has_zero β] [monoid N] [comm_monoid P]
(f : α →₀ β) (g : α → β → N →* P) :
⇑(f.prod g) = f.prod (λ i fi, g i fi) :=
monoid_hom.coe_prod _ _
@[simp, to_additive]
lemma monoid_hom.finsupp_prod_apply [has_zero β] [monoid N] [comm_monoid P]
(f : α →₀ β) (g : α → β → N →* P) (x : N) :
f.prod g x = f.prod (λ i fi, g i fi x) :=
monoid_hom.finset_prod_apply _ _ _
namespace finsupp
section nat_sub
instance nat_sub : has_sub (α →₀ ℕ) := ⟨zip_with (λ m n, m - n) (nat.sub_zero 0)⟩
@[simp] lemma coe_nat_sub (g₁ g₂ : α →₀ ℕ) : ⇑(g₁ - g₂) = g₁ - g₂ := rfl
lemma nat_sub_apply (g₁ g₂ : α →₀ ℕ) (a : α) : (g₁ - g₂) a = g₁ a - g₂ a := rfl
@[simp] lemma single_nat_sub {a : α} {n₁ n₂ : ℕ} : single a (n₁ - n₂) = single a n₁ - single a n₂ :=
begin
ext f,
by_cases h : (a = f),
{ rw [h, nat_sub_apply, single_eq_same, single_eq_same, single_eq_same] },
rw [nat_sub_apply, single_eq_of_ne h, single_eq_of_ne h, single_eq_of_ne h]
end
-- These next two lemmas are used in developing
-- the partial derivative on `mv_polynomial`.
lemma sub_single_one_add {a : α} {u u' : α →₀ ℕ} (h : u a ≠ 0) :
u - single a 1 + u' = u + u' - single a 1 :=
begin
ext b,
rw [add_apply, nat_sub_apply, nat_sub_apply, add_apply],
by_cases h : a = b,
{ rw [←h, single_eq_same], cases (u a), { contradiction }, { simp }, },
{ simp [h], }
end
lemma add_sub_single_one {a : α} {u u' : α →₀ ℕ} (h : u' a ≠ 0) :
u + (u' - single a 1) = u + u' - single a 1 :=
begin
ext b,
rw [add_apply, nat_sub_apply, nat_sub_apply, add_apply],
by_cases h : a = b,
{ rw [←h, single_eq_same], cases (u' a), { contradiction }, { simp }, },
{ simp [h], }
end
@[simp] lemma nat_zero_sub (f : α →₀ ℕ) : 0 - f = 0 := ext $ λ x, nat.zero_sub _
@[simp] lemma nat_sub_self (f : α →₀ ℕ) : f - f = 0 := ext $ λ x, nat.sub_self _
end nat_sub
instance [add_comm_monoid M] : add_comm_monoid (α →₀ M) :=
{ add_comm := assume ⟨s, f, _⟩ ⟨t, g, _⟩, ext $ assume a, add_comm _ _,
.. finsupp.add_monoid }
instance [add_group G] : has_sub (α →₀ G) := ⟨zip_with has_sub.sub (sub_zero _)⟩
instance [add_group G] : add_group (α →₀ G) :=
{ neg := map_range (has_neg.neg) neg_zero,
sub := has_sub.sub,
sub_eq_add_neg := λ x y, ext (λ i, sub_eq_add_neg _ _),
add_left_neg := assume ⟨s, f, _⟩, ext $ assume x, add_left_neg _,
gsmul := λ n v, v.map_range ((•) n) (gsmul_zero _),
gsmul_zero' := λ v, by { ext i, simp },
gsmul_succ' := λ n v, by { ext i, simp [nat.succ_eq_one_add, add_gsmul] },
gsmul_neg' := λ n v, by { ext i, simp only [nat.succ_eq_add_one, map_range_apply,
gsmul_neg_succ_of_nat, int.coe_nat_succ, neg_inj,
add_gsmul, add_nsmul, one_gsmul, gsmul_coe_nat, one_nsmul] },
.. finsupp.add_monoid }
instance [add_comm_group G] : add_comm_group (α →₀ G) :=
{ add_comm := add_comm, ..finsupp.add_group }
lemma single_multiset_sum [add_comm_monoid M] (s : multiset M) (a : α) :
single a s.sum = (s.map (single a)).sum :=
multiset.induction_on s single_zero $ λ a s ih,
by rw [multiset.sum_cons, single_add, ih, multiset.map_cons, multiset.sum_cons]
lemma single_finset_sum [add_comm_monoid M] (s : finset ι) (f : ι → M) (a : α) :
single a (∑ b in s, f b) = ∑ b in s, single a (f b) :=
begin
transitivity,
apply single_multiset_sum,
rw [multiset.map_map],
refl
end
lemma single_sum [has_zero M] [add_comm_monoid N] (s : ι →₀ M) (f : ι → M → N) (a : α) :
single a (s.sum f) = s.sum (λd c, single a (f d c)) :=
single_finset_sum _ _ _
@[to_additive]
lemma prod_neg_index [add_group G] [comm_monoid M] {g : α →₀ G} {h : α → G → M}
(h0 : ∀a, h a 0 = 1) :
(-g).prod h = g.prod (λa b, h a (- b)) :=
prod_map_range_index h0
@[simp] lemma coe_neg [add_group G] (g : α →₀ G) : ⇑(-g) = -g := rfl
lemma neg_apply [add_group G] (g : α →₀ G) (a : α) : (- g) a = - g a := rfl
@[simp] lemma coe_sub [add_group G] (g₁ g₂ : α →₀ G) : ⇑(g₁ - g₂) = g₁ - g₂ := rfl
lemma sub_apply [add_group G] (g₁ g₂ : α →₀ G) (a : α) : (g₁ - g₂) a = g₁ a - g₂ a := rfl
@[simp] lemma support_neg [add_group G] {f : α →₀ G} : support (-f) = support f :=
finset.subset.antisymm
support_map_range
(calc support f = support (- (- f)) : congr_arg support (neg_neg _).symm
... ⊆ support (- f) : support_map_range)
lemma erase_eq_sub_single [add_group G] (f : α →₀ G) (a : α) :
f.erase a = f - single a (f a) :=
begin
ext a',
rcases eq_or_ne a a' with rfl|h,
{ simp },
{ simp [erase_ne h.symm, single_eq_of_ne h] }
end
lemma update_eq_sub_add_single [add_group G] (f : α →₀ G) (a : α) (b : G) :
f.update a b = f - single a (f a) + single a b :=
by rw [update_eq_erase_add_single, erase_eq_sub_single]
@[simp] lemma sum_apply [has_zero M] [add_comm_monoid N]
{f : α →₀ M} {g : α → M → β →₀ N} {a₂ : β} :
(f.sum g) a₂ = f.sum (λa₁ b, g a₁ b a₂) :=
(apply_add_hom a₂ : (β →₀ N) →+ _).map_sum _ _
lemma support_sum [decidable_eq β] [has_zero M] [add_comm_monoid N]
{f : α →₀ M} {g : α → M → (β →₀ N)} :
(f.sum g).support ⊆ f.support.bUnion (λa, (g a (f a)).support) :=
have ∀ c, f.sum (λ a b, g a b c) ≠ 0 → (∃ a, f a ≠ 0 ∧ ¬ (g a (f a)) c = 0),
from assume a₁ h,
let ⟨a, ha, ne⟩ := finset.exists_ne_zero_of_sum_ne_zero h in
⟨a, mem_support_iff.mp ha, ne⟩,
by simpa only [finset.subset_iff, mem_support_iff, finset.mem_bUnion, sum_apply, exists_prop]
@[simp] lemma sum_zero [has_zero M] [add_comm_monoid N] {f : α →₀ M} :
f.sum (λa b, (0 : N)) = 0 :=
finset.sum_const_zero
@[simp, to_additive]
lemma prod_mul [has_zero M] [comm_monoid N] {f : α →₀ M} {h₁ h₂ : α → M → N} :
f.prod (λa b, h₁ a b * h₂ a b) = f.prod h₁ * f.prod h₂ :=
finset.prod_mul_distrib
@[simp, to_additive]
lemma prod_inv [has_zero M] [comm_group G] {f : α →₀ M}
{h : α → M → G} : f.prod (λa b, (h a b)⁻¹) = (f.prod h)⁻¹ :=
(((monoid_hom.id G)⁻¹).map_prod _ _).symm
@[simp] lemma sum_sub [has_zero M] [add_comm_group G] {f : α →₀ M}
{h₁ h₂ : α → M → G} :
f.sum (λa b, h₁ a b - h₂ a b) = f.sum h₁ - f.sum h₂ :=
finset.sum_sub_distrib
@[to_additive]
lemma prod_add_index [add_comm_monoid M] [comm_monoid N] {f g : α →₀ M}
{h : α → M → N} (h_zero : ∀a, h a 0 = 1) (h_add : ∀a b₁ b₂, h a (b₁ + b₂) = h a b₁ * h a b₂) :
(f + g).prod h = f.prod h * g.prod h :=
have hf : f.prod h = ∏ a in f.support ∪ g.support, h a (f a),
from f.prod_of_support_subset (subset_union_left _ _) _ $ λ a ha, h_zero a,
have hg : g.prod h = ∏ a in f.support ∪ g.support, h a (g a),
from g.prod_of_support_subset (subset_union_right _ _) _ $ λ a ha, h_zero a,
have hfg : (f + g).prod h = ∏ a in f.support ∪ g.support, h a ((f + g) a),
from (f + g).prod_of_support_subset support_add _ $ λ a ha, h_zero a,
by simp only [*, add_apply, prod_mul_distrib]
@[simp]
lemma sum_add_index' [add_comm_monoid M] [add_comm_monoid N] {f g : α →₀ M} (h : α → M →+ N) :
(f + g).sum (λ x, h x) = f.sum (λ x, h x) + g.sum (λ x, h x) :=
sum_add_index (λ a, (h a).map_zero) (λ a, (h a).map_add)
@[simp]
lemma prod_add_index' [add_comm_monoid M] [comm_monoid N] {f g : α →₀ M}
(h : α → multiplicative M →* N) :
(f + g).prod (λ a b, h a (multiplicative.of_add b)) =
f.prod (λ a b, h a (multiplicative.of_add b)) * g.prod (λ a b, h a (multiplicative.of_add b)) :=
prod_add_index (λ a, (h a).map_one) (λ a, (h a).map_mul)
/-- The canonical isomorphism between families of additive monoid homomorphisms `α → (M →+ N)`
and monoid homomorphisms `(α →₀ M) →+ N`. -/
def lift_add_hom [add_comm_monoid M] [add_comm_monoid N] : (α → M →+ N) ≃+ ((α →₀ M) →+ N) :=
{ to_fun := λ F,
{ to_fun := λ f, f.sum (λ x, F x),
map_zero' := finset.sum_empty,
map_add' := λ _ _, sum_add_index (λ x, (F x).map_zero) (λ x, (F x).map_add) },
inv_fun := λ F x, F.comp $ single_add_hom x,
left_inv := λ F, by { ext, simp },
right_inv := λ F, by { ext, simp },
map_add' := λ F G, by { ext, simp } }
@[simp] lemma lift_add_hom_apply [add_comm_monoid M] [add_comm_monoid N]
(F : α → M →+ N) (f : α →₀ M) :
lift_add_hom F f = f.sum (λ x, F x) :=
rfl
@[simp] lemma lift_add_hom_symm_apply [add_comm_monoid M] [add_comm_monoid N]
(F : (α →₀ M) →+ N) (x : α) :
lift_add_hom.symm F x = F.comp (single_add_hom x) :=
rfl
lemma lift_add_hom_symm_apply_apply [add_comm_monoid M] [add_comm_monoid N]
(F : (α →₀ M) →+ N) (x : α) (y : M) :
lift_add_hom.symm F x y = F (single x y) :=
rfl
@[simp] lemma lift_add_hom_single_add_hom [add_comm_monoid M] :
lift_add_hom (single_add_hom : α → M →+ α →₀ M) = add_monoid_hom.id _ :=
lift_add_hom.to_equiv.apply_eq_iff_eq_symm_apply.2 rfl
@[simp] lemma sum_single [add_comm_monoid M] (f : α →₀ M) :
f.sum single = f :=
add_monoid_hom.congr_fun lift_add_hom_single_add_hom f
@[simp] lemma lift_add_hom_apply_single [add_comm_monoid M] [add_comm_monoid N]
(f : α → M →+ N) (a : α) (b : M) :
lift_add_hom f (single a b) = f a b :=
sum_single_index (f a).map_zero
@[simp] lemma lift_add_hom_comp_single [add_comm_monoid M] [add_comm_monoid N] (f : α → M →+ N)
(a : α) :
(lift_add_hom f).comp (single_add_hom a) = f a :=
add_monoid_hom.ext $ λ b, lift_add_hom_apply_single f a b
lemma comp_lift_add_hom [add_comm_monoid M] [add_comm_monoid N] [add_comm_monoid P]
(g : N →+ P) (f : α → M →+ N) :
g.comp (lift_add_hom f) = lift_add_hom (λ a, g.comp (f a)) :=
lift_add_hom.symm_apply_eq.1 $ funext $ λ a,
by rw [lift_add_hom_symm_apply, add_monoid_hom.comp_assoc, lift_add_hom_comp_single]
lemma sum_sub_index [add_comm_group β] [add_comm_group γ] {f g : α →₀ β}
{h : α → β → γ} (h_sub : ∀a b₁ b₂, h a (b₁ - b₂) = h a b₁ - h a b₂) :
(f - g).sum h = f.sum h - g.sum h :=
(lift_add_hom (λ a, add_monoid_hom.of_map_sub (h a) (h_sub a))).map_sub f g
@[to_additive]
lemma prod_emb_domain [has_zero M] [comm_monoid N] {v : α →₀ M} {f : α ↪ β} {g : β → M → N} :
(v.emb_domain f).prod g = v.prod (λ a b, g (f a) b) :=
begin
rw [prod, prod, support_emb_domain, finset.prod_map],
simp_rw emb_domain_apply,
end
@[to_additive]
lemma prod_finset_sum_index [add_comm_monoid M] [comm_monoid N]
{s : finset ι} {g : ι → α →₀ M}
{h : α → M → N} (h_zero : ∀a, h a 0 = 1) (h_add : ∀a b₁ b₂, h a (b₁ + b₂) = h a b₁ * h a b₂) :
∏ i in s, (g i).prod h = (∑ i in s, g i).prod h :=
finset.induction_on s rfl $ λ a s has ih,
by rw [prod_insert has, ih, sum_insert has, prod_add_index h_zero h_add]
@[to_additive]
lemma prod_sum_index
[add_comm_monoid M] [add_comm_monoid N] [comm_monoid P]
{f : α →₀ M} {g : α → M → β →₀ N}
{h : β → N → P} (h_zero : ∀a, h a 0 = 1) (h_add : ∀a b₁ b₂, h a (b₁ + b₂) = h a b₁ * h a b₂) :
(f.sum g).prod h = f.prod (λa b, (g a b).prod h) :=
(prod_finset_sum_index h_zero h_add).symm
lemma multiset_sum_sum_index
[add_comm_monoid M] [add_comm_monoid N]
(f : multiset (α →₀ M)) (h : α → M → N)
(h₀ : ∀a, h a 0 = 0) (h₁ : ∀ (a : α) (b₁ b₂ : M), h a (b₁ + b₂) = h a b₁ + h a b₂) :
(f.sum.sum h) = (f.map $ λg:α →₀ M, g.sum h).sum :=
multiset.induction_on f rfl $ assume a s ih,
by rw [multiset.sum_cons, multiset.map_cons, multiset.sum_cons, sum_add_index h₀ h₁, ih]
lemma support_sum_eq_bUnion {α : Type*} {ι : Type*} {M : Type*} [add_comm_monoid M]
{g : ι → α →₀ M} (s : finset ι) (h : ∀ i₁ i₂, i₁ ≠ i₂ → disjoint (g i₁).support (g i₂).support) :
(∑ i in s, g i).support = s.bUnion (λ i, (g i).support) :=
begin
apply finset.induction_on s,
{ simp },
{ intros i s hi,
simp only [hi, sum_insert, not_false_iff, bUnion_insert],
intro hs,
rw [finsupp.support_add_eq, hs],
rw [hs],
intros x hx,
simp only [mem_bUnion, exists_prop, inf_eq_inter, ne.def, mem_inter] at hx,
obtain ⟨hxi, j, hj, hxj⟩ := hx,
have hn : i ≠ j := λ H, hi (H.symm ▸ hj),
apply h _ _ hn,
simp [hxi, hxj] }
end
lemma multiset_map_sum [has_zero M] {f : α →₀ M} {m : β → γ} {h : α → M → multiset β} :
multiset.map m (f.sum h) = f.sum (λa b, (h a b).map m) :=
(multiset.map_add_monoid_hom m).map_sum _ f.support
lemma multiset_sum_sum [has_zero M] [add_comm_monoid N] {f : α →₀ M} {h : α → M → multiset N} :
multiset.sum (f.sum h) = f.sum (λa b, multiset.sum (h a b)) :=
(multiset.sum_add_monoid_hom : multiset N →+ N).map_sum _ f.support
section map_range
section equiv
variables [has_zero M] [has_zero N] [has_zero P]
/-- `finsupp.map_range` as an equiv. -/
@[simps apply]
def map_range.equiv (f : M ≃ N) (hf : f 0 = 0) (hf' : f.symm 0 = 0) : (α →₀ M) ≃ (α →₀ N) :=
{ to_fun := (map_range f hf : (α →₀ M) → (α →₀ N)),
inv_fun := (map_range f.symm hf' : (α →₀ N) → (α →₀ M)),
left_inv := λ x, begin
rw ←map_range_comp _ _ _ _; simp_rw equiv.symm_comp_self,
{ exact map_range_id _ },
{ refl },
end,
right_inv := λ x, begin
rw ←map_range_comp _ _ _ _; simp_rw equiv.self_comp_symm,
{ exact map_range_id _ },
{ refl },
end }
@[simp]
lemma map_range.equiv_refl :
map_range.equiv (equiv.refl M) rfl rfl = equiv.refl (α →₀ M) :=
equiv.ext map_range_id
lemma map_range.equiv_trans
(f : M ≃ N) (hf : f 0 = 0) (hf') (f₂ : N ≃ P) (hf₂ : f₂ 0 = 0) (hf₂') :
(map_range.equiv (f.trans f₂) (by rw [equiv.trans_apply, hf, hf₂])
(by rw [equiv.symm_trans_apply, hf₂', hf']) : (α →₀ _) ≃ _) =
(map_range.equiv f hf hf').trans (map_range.equiv f₂ hf₂ hf₂') :=
equiv.ext $ map_range_comp _ _ _ _ _
@[simp] lemma map_range.equiv_symm (f : M ≃ N) (hf hf') :
((map_range.equiv f hf hf').symm : (α →₀ _) ≃ _) = map_range.equiv f.symm hf' hf :=
equiv.ext $ λ x, rfl
end equiv
section zero_hom
variables [has_zero M] [has_zero N] [has_zero P]
/-- Composition with a fixed zero-preserving homomorphism is itself an zero-preserving homomorphism
on functions. -/
@[simps]
def map_range.zero_hom (f : zero_hom M N) : zero_hom (α →₀ M) (α →₀ N) :=
{ to_fun := (map_range f f.map_zero : (α →₀ M) → (α →₀ N)),
map_zero' := map_range_zero }
@[simp]
lemma map_range.zero_hom_id :
map_range.zero_hom (zero_hom.id M) = zero_hom.id (α →₀ M) := zero_hom.ext map_range_id
lemma map_range.zero_hom_comp (f : zero_hom N P) (f₂ : zero_hom M N) :
(map_range.zero_hom (f.comp f₂) : zero_hom (α →₀ _) _) =
(map_range.zero_hom f).comp (map_range.zero_hom f₂) :=
zero_hom.ext $ map_range_comp _ _ _ _ _
end zero_hom
section add_monoid_hom
variables [add_comm_monoid M] [add_comm_monoid N] [add_comm_monoid P]
/--
Composition with a fixed additive homomorphism is itself an additive homomorphism on functions.
-/
@[simps]
def map_range.add_monoid_hom (f : M →+ N) : (α →₀ M) →+ (α →₀ N) :=
{ to_fun := (map_range f f.map_zero : (α →₀ M) → (α →₀ N)),
map_zero' := map_range_zero,
map_add' := λ a b, map_range_add f.map_add _ _ }
@[simp]
lemma map_range.add_monoid_hom_id :
map_range.add_monoid_hom (add_monoid_hom.id M) = add_monoid_hom.id (α →₀ M) :=
add_monoid_hom.ext map_range_id
lemma map_range.add_monoid_hom_comp (f : N →+ P) (f₂ : M →+ N) :
(map_range.add_monoid_hom (f.comp f₂) : (α →₀ _) →+ _) =
(map_range.add_monoid_hom f).comp (map_range.add_monoid_hom f₂) :=
add_monoid_hom.ext $ map_range_comp _ _ _ _ _
@[simp]
lemma map_range.add_monoid_hom_to_zero_hom (f : M →+ N) :
(map_range.add_monoid_hom f).to_zero_hom =
(map_range.zero_hom f.to_zero_hom : zero_hom (α →₀ _) _) :=
zero_hom.ext $ λ _, rfl
lemma map_range_multiset_sum (f : M →+ N) (m : multiset (α →₀ M)) :
map_range f f.map_zero m.sum = (m.map $ λx, map_range f f.map_zero x).sum :=
(map_range.add_monoid_hom f : (α →₀ _) →+ _).map_multiset_sum _
lemma map_range_finset_sum (f : M →+ N) (s : finset ι) (g : ι → (α →₀ M)) :
map_range f f.map_zero (∑ x in s, g x) = ∑ x in s, map_range f f.map_zero (g x) :=
(map_range.add_monoid_hom f : (α →₀ _) →+ _).map_sum _ _
/-- `finsupp.map_range.add_monoid_hom` as an equiv. -/
@[simps apply]
def map_range.add_equiv (f : M ≃+ N) : (α →₀ M) ≃+ (α →₀ N) :=
{ to_fun := (map_range f f.map_zero : (α →₀ M) → (α →₀ N)),
inv_fun := (map_range f.symm f.symm.map_zero : (α →₀ N) → (α →₀ M)),
left_inv := λ x, begin
rw ←map_range_comp _ _ _ _; simp_rw add_equiv.symm_comp_self,
{ exact map_range_id _ },
{ refl },
end,
right_inv := λ x, begin
rw ←map_range_comp _ _ _ _; simp_rw add_equiv.self_comp_symm,
{ exact map_range_id _ },
{ refl },
end,
..(map_range.add_monoid_hom f.to_add_monoid_hom) }
@[simp]
lemma map_range.add_equiv_refl :
map_range.add_equiv (add_equiv.refl M) = add_equiv.refl (α →₀ M) :=
add_equiv.ext map_range_id
lemma map_range.add_equiv_trans (f : M ≃+ N) (f₂ : N ≃+ P) :
(map_range.add_equiv (f.trans f₂) : (α →₀ _) ≃+ _) =
(map_range.add_equiv f).trans (map_range.add_equiv f₂) :=
add_equiv.ext $ map_range_comp _ _ _ _ _
@[simp] lemma map_range.add_equiv_symm (f : M ≃+ N) :
((map_range.add_equiv f).symm : (α →₀ _) ≃+ _) = map_range.add_equiv f.symm :=
add_equiv.ext $ λ x, rfl
@[simp]
lemma map_range.add_equiv_to_add_monoid_hom (f : M ≃+ N) :
(map_range.add_equiv f : (α →₀ _) ≃+ _).to_add_monoid_hom =
(map_range.add_monoid_hom f.to_add_monoid_hom : (α →₀ _) →+ _) :=
add_monoid_hom.ext $ λ _, rfl
@[simp]
lemma map_range.add_equiv_to_equiv (f : M ≃+ N) :
(map_range.add_equiv f).to_equiv =
(map_range.equiv f.to_equiv f.map_zero f.symm.map_zero : (α →₀ _) ≃ _) :=
equiv.ext $ λ _, rfl
end add_monoid_hom
end map_range
/-! ### Declarations about `map_domain` -/
section map_domain
variables [add_comm_monoid M] {v v₁ v₂ : α →₀ M}
/-- Given `f : α → β` and `v : α →₀ M`, `map_domain f v : β →₀ M`
is the finitely supported function whose value at `a : β` is the sum
of `v x` over all `x` such that `f x = a`. -/
def map_domain (f : α → β) (v : α →₀ M) : β →₀ M :=
v.sum $ λa, single (f a)
lemma map_domain_apply {f : α → β} (hf : function.injective f) (x : α →₀ M) (a : α) :
map_domain f x (f a) = x a :=
begin
rw [map_domain, sum_apply, sum, finset.sum_eq_single a, single_eq_same],
{ assume b _ hba, exact single_eq_of_ne (hf.ne hba) },
{ assume h, rw [not_mem_support_iff.1 h, single_zero, zero_apply] }
end
lemma map_domain_notin_range {f : α → β} (x : α →₀ M) (a : β) (h : a ∉ set.range f) :
map_domain f x a = 0 :=
begin
rw [map_domain, sum_apply, sum],
exact finset.sum_eq_zero
(assume a' h', single_eq_of_ne $ assume eq, h $ eq ▸ set.mem_range_self _)
end
@[simp]
lemma map_domain_id : map_domain id v = v :=
sum_single _
lemma map_domain_comp {f : α → β} {g : β → γ} :
map_domain (g ∘ f) v = map_domain g (map_domain f v) :=
begin
refine ((sum_sum_index _ _).trans _).symm,
{ intros, exact single_zero },
{ intros, exact single_add },
refine sum_congr rfl (λ _ _, sum_single_index _),
{ exact single_zero }
end
@[simp]
lemma map_domain_single {f : α → β} {a : α} {b : M} : map_domain f (single a b) = single (f a) b :=
sum_single_index single_zero
@[simp] lemma map_domain_zero {f : α → β} : map_domain f (0 : α →₀ M) = (0 : β →₀ M) :=
sum_zero_index
lemma map_domain_congr {f g : α → β} (h : ∀x∈v.support, f x = g x) :
v.map_domain f = v.map_domain g :=
finset.sum_congr rfl $ λ _ H, by simp only [h _ H]
lemma map_domain_add {f : α → β} : map_domain f (v₁ + v₂) = map_domain f v₁ + map_domain f v₂ :=
sum_add_index (λ _, single_zero) (λ _ _ _, single_add)
@[simp] lemma map_domain_equiv_apply {f : α ≃ β} (x : α →₀ M) (a : β) :
map_domain f x a = x (f.symm a) :=
begin
conv_lhs { rw ←f.apply_symm_apply a },
exact map_domain_apply f.injective _ _,
end
/-- `finsupp.map_domain` is an `add_monoid_hom`. -/
@[simps]
def map_domain.add_monoid_hom (f : α → β) : (α →₀ M) →+ (β →₀ M) :=
{ to_fun := map_domain f,
map_zero' := map_domain_zero,
map_add' := λ _ _, map_domain_add}
@[simp]
lemma map_domain.add_monoid_hom_id : map_domain.add_monoid_hom id = add_monoid_hom.id (α →₀ M) :=
add_monoid_hom.ext $ λ _, map_domain_id
lemma map_domain.add_monoid_hom_comp (f : β → γ) (g : α → β) :
(map_domain.add_monoid_hom (f ∘ g) : (α →₀ M) →+ (γ →₀ M)) =
(map_domain.add_monoid_hom f).comp (map_domain.add_monoid_hom g) :=
add_monoid_hom.ext $ λ _, map_domain_comp
lemma map_domain_finset_sum {f : α → β} {s : finset ι} {v : ι → α →₀ M} :
map_domain f (∑ i in s, v i) = ∑ i in s, map_domain f (v i) :=
(map_domain.add_monoid_hom f : (α →₀ M) →+ β →₀ M).map_sum _ _
lemma map_domain_sum [has_zero N] {f : α → β} {s : α →₀ N} {v : α → N → α →₀ M} :
map_domain f (s.sum v) = s.sum (λa b, map_domain f (v a b)) :=
(map_domain.add_monoid_hom f : (α →₀ M) →+ β →₀ M).map_finsupp_sum _ _
lemma map_domain_support [decidable_eq β] {f : α → β} {s : α →₀ M} :
(s.map_domain f).support ⊆ s.support.image f :=
finset.subset.trans support_sum $
finset.subset.trans (finset.bUnion_mono $ assume a ha, support_single_subset) $
by rw [finset.bUnion_singleton]; exact subset.refl _
@[to_additive]
lemma prod_map_domain_index [comm_monoid N] {f : α → β} {s : α →₀ M}
{h : β → M → N} (h_zero : ∀b, h b 0 = 1) (h_add : ∀b m₁ m₂, h b (m₁ + m₂) = h b m₁ * h b m₂) :
(map_domain f s).prod h = s.prod (λa m, h (f a) m) :=
(prod_sum_index h_zero h_add).trans $ prod_congr rfl $ λ _ _, prod_single_index (h_zero _)
/--
A version of `sum_map_domain_index` that takes a bundled `add_monoid_hom`,
rather than separate linearity hypotheses.
-/
-- Note that in `prod_map_domain_index`, `M` is still an additive monoid,
-- so there is no analogous version in terms of `monoid_hom`.
@[simp]
lemma sum_map_domain_index_add_monoid_hom [add_comm_monoid N] {f : α → β}
{s : α →₀ M} (h : β → M →+ N) :
(map_domain f s).sum (λ b m, h b m) = s.sum (λ a m, h (f a) m) :=
@sum_map_domain_index _ _ _ _ _ _ _ _
(λ b m, h b m)
(λ b, (h b).map_zero)
(λ b m₁ m₂, (h b).map_add _ _)
lemma emb_domain_eq_map_domain (f : α ↪ β) (v : α →₀ M) :
emb_domain f v = map_domain f v :=
begin
ext a,
by_cases a ∈ set.range f,
{ rcases h with ⟨a, rfl⟩,
rw [map_domain_apply f.injective, emb_domain_apply] },
{ rw [map_domain_notin_range, emb_domain_notin_range]; assumption }
end
@[to_additive]
lemma prod_map_domain_index_inj [comm_monoid N] {f : α → β} {s : α →₀ M}
{h : β → M → N} (hf : function.injective f) :
(s.map_domain f).prod h = s.prod (λa b, h (f a) b) :=
by rw [←function.embedding.coe_fn_mk f hf, ←emb_domain_eq_map_domain, prod_emb_domain]
lemma map_domain_injective {f : α → β} (hf : function.injective f) :
function.injective (map_domain f : (α →₀ M) → (β →₀ M)) :=
begin
assume v₁ v₂ eq, ext a,
have : map_domain f v₁ (f a) = map_domain f v₂ (f a), { rw eq },
rwa [map_domain_apply hf, map_domain_apply hf] at this,
end
lemma map_domain.add_monoid_hom_comp_map_range [add_comm_monoid N] (f : α → β) (g : M →+ N) :
(map_domain.add_monoid_hom f).comp (map_range.add_monoid_hom g) =
(map_range.add_monoid_hom g).comp (map_domain.add_monoid_hom f) :=
by { ext, simp }
/-- When `g` preserves addition, `map_range` and `map_domain` commute. -/
lemma map_domain_map_range [add_comm_monoid N] (f : α → β) (v : α →₀ M) (g : M → N)
(h0 : g 0 = 0) (hadd : ∀ x y, g (x + y) = g x + g y) :
map_domain f (map_range g h0 v) = map_range g h0 (map_domain f v) :=
let g' : M →+ N := { to_fun := g, map_zero' := h0, map_add' := hadd} in
add_monoid_hom.congr_fun (map_domain.add_monoid_hom_comp_map_range f g') v
end map_domain
/-! ### Declarations about `comap_domain` -/
section comap_domain
/-- Given `f : α → β`, `l : β →₀ M` and a proof `hf` that `f` is injective on
the preimage of `l.support`, `comap_domain f l hf` is the finitely supported function
from `α` to `M` given by composing `l` with `f`. -/
def comap_domain [has_zero M] (f : α → β) (l : β →₀ M) (hf : set.inj_on f (f ⁻¹' ↑l.support)) :
α →₀ M :=
{ support := l.support.preimage f hf,
to_fun := (λ a, l (f a)),
mem_support_to_fun :=
begin
intros a,
simp only [finset.mem_def.symm, finset.mem_preimage],
exact l.mem_support_to_fun (f a),
end }
@[simp]
lemma comap_domain_apply [has_zero M] (f : α → β) (l : β →₀ M)
(hf : set.inj_on f (f ⁻¹' ↑l.support)) (a : α) :
comap_domain f l hf a = l (f a) :=
rfl
lemma sum_comap_domain [has_zero M] [add_comm_monoid N]
(f : α → β) (l : β →₀ M) (g : β → M → N)
(hf : set.bij_on f (f ⁻¹' ↑l.support) ↑l.support) :
(comap_domain f l hf.inj_on).sum (g ∘ f) = l.sum g :=
begin
simp only [sum, comap_domain_apply, (∘)],
simp [comap_domain, finset.sum_preimage_of_bij f _ _ (λ x, g x (l x))],
end
lemma eq_zero_of_comap_domain_eq_zero [add_comm_monoid M]
(f : α → β) (l : β →₀ M) (hf : set.bij_on f (f ⁻¹' ↑l.support) ↑l.support) :
comap_domain f l hf.inj_on = 0 → l = 0 :=
begin
rw [← support_eq_empty, ← support_eq_empty, comap_domain],
simp only [finset.ext_iff, finset.not_mem_empty, iff_false, mem_preimage],
assume h a ha,
cases hf.2.2 ha with b hb,
exact h b (hb.2.symm ▸ ha)
end
lemma map_domain_comap_domain [add_comm_monoid M] (f : α → β) (l : β →₀ M)
(hf : function.injective f) (hl : ↑l.support ⊆ set.range f):
map_domain f (comap_domain f l (hf.inj_on _)) = l :=
begin
ext a,
by_cases h_cases: a ∈ set.range f,
{ rcases set.mem_range.1 h_cases with ⟨b, hb⟩,
rw [hb.symm, map_domain_apply hf, comap_domain_apply] },
{ rw map_domain_notin_range _ _ h_cases,
by_contra h_contr,
apply h_cases (hl $ finset.mem_coe.2 $ mem_support_iff.2 $ λ h, h_contr h.symm) }
end
end comap_domain
section option
/-- Restrict a finitely supported function on `option α` to a finitely supported function on `α`. -/
def some [has_zero M] (f : option α →₀ M) : α →₀ M :=
f.comap_domain option.some (λ _, by simp)
@[simp] lemma some_apply [has_zero M] (f : option α →₀ M) (a : α) :
f.some a = f (option.some a) := rfl
@[simp] lemma some_zero [has_zero M] : (0 : option α →₀ M).some = 0 :=
by { ext, simp, }
@[simp] lemma some_add [add_comm_monoid M] (f g : option α →₀ M) : (f + g).some = f.some + g.some :=
by { ext, simp, }
@[simp] lemma some_single_none [has_zero M] (m : M) : (single none m : option α →₀ M).some = 0 :=
by { ext, simp, }
@[simp] lemma some_single_some [has_zero M] (a : α) (m : M) :
(single (option.some a) m : option α →₀ M).some = single a m :=
by { ext b, simp [single_apply], }
@[to_additive]
lemma prod_option_index [add_comm_monoid M] [comm_monoid N]
(f : option α →₀ M) (b : option α → M → N) (h_zero : ∀ o, b o 0 = 1)
(h_add : ∀ o m₁ m₂, b o (m₁ + m₂) = b o m₁ * b o m₂) :
f.prod b = b none (f none) * f.some.prod (λ a, b (option.some a)) :=
begin
apply induction_linear f,
{ simp [h_zero], },
{ intros f₁ f₂ h₁ h₂,
rw [finsupp.prod_add_index, h₁, h₂, some_add, finsupp.prod_add_index],
simp only [h_add, pi.add_apply, finsupp.coe_add],
rw mul_mul_mul_comm,
all_goals { simp [h_zero, h_add], }, },
{ rintros (_|a) m; simp [h_zero, h_add], }
end
lemma sum_option_index_smul [semiring R] [add_comm_monoid M] [module R M]
(f : option α →₀ R) (b : option α → M) :
f.sum (λ o r, r • b o) =
f none • b none + f.some.sum (λ a r, r • b (option.some a)) :=
f.sum_option_index _ (λ _, zero_smul _ _) (λ _ _ _, add_smul _ _ _)
end option
/-! ### Declarations about `equiv_congr_left` -/
section equiv_congr_left
variable [has_zero M]
/-- Given `f : α ≃ β`, we can map `l : α →₀ M` to `equiv_map_domain f l : β →₀ M` (computably)
by mapping the support forwards and the function backwards. -/
def equiv_map_domain (f : α ≃ β) (l : α →₀ M) : β →₀ M :=
{ support := l.support.map f.to_embedding,
to_fun := λ a, l (f.symm a),
mem_support_to_fun := λ a, by simp only [finset.mem_map_equiv, mem_support_to_fun]; refl }
@[simp] lemma equiv_map_domain_apply (f : α ≃ β) (l : α →₀ M) (b : β) :
equiv_map_domain f l b = l (f.symm b) := rfl
lemma equiv_map_domain_symm_apply (f : α ≃ β) (l : β →₀ M) (a : α) :
equiv_map_domain f.symm l a = l (f a) := rfl
@[simp] lemma equiv_map_domain_refl (l : α →₀ M) : equiv_map_domain (equiv.refl _) l = l :=
by ext x; refl
lemma equiv_map_domain_refl' : equiv_map_domain (equiv.refl _) = @id (α →₀ M) :=
by ext x; refl
lemma equiv_map_domain_trans (f : α ≃ β) (g : β ≃ γ) (l : α →₀ M) :
equiv_map_domain (f.trans g) l = equiv_map_domain g (equiv_map_domain f l) := by ext x; refl
lemma equiv_map_domain_trans' (f : α ≃ β) (g : β ≃ γ) :
@equiv_map_domain _ _ M _ (f.trans g) = equiv_map_domain g ∘ equiv_map_domain f := by ext x; refl
@[simp] lemma equiv_map_domain_single (f : α ≃ β) (a : α) (b : M) :
equiv_map_domain f (single a b) = single (f a) b :=
by ext x; simp only [single_apply, equiv.apply_eq_iff_eq_symm_apply, equiv_map_domain_apply]; congr
@[simp] lemma equiv_map_domain_zero {f : α ≃ β} : equiv_map_domain f (0 : α →₀ M) = (0 : β →₀ M) :=
by ext x; simp only [equiv_map_domain_apply, coe_zero, pi.zero_apply]
lemma equiv_map_domain_eq_map_domain {M} [add_comm_monoid M] (f : α ≃ β) (l : α →₀ M) :
equiv_map_domain f l = map_domain f l := by ext x; simp [map_domain_equiv_apply]
/-- Given `f : α ≃ β`, the finitely supported function spaces are also in bijection:
`(α →₀ M) ≃ (β →₀ M)`.
This is the finitely-supported version of `equiv.Pi_congr_left`. -/
def equiv_congr_left (f : α ≃ β) : (α →₀ M) ≃ (β →₀ M) :=
by refine ⟨equiv_map_domain f, equiv_map_domain f.symm, λ f, _, λ f, _⟩;
ext x; simp only [equiv_map_domain_apply, equiv.symm_symm,
equiv.symm_apply_apply, equiv.apply_symm_apply]
@[simp] lemma equiv_congr_left_apply (f : α ≃ β) (l : α →₀ M) :
equiv_congr_left f l = equiv_map_domain f l := rfl
@[simp] lemma equiv_congr_left_symm (f : α ≃ β) :
(@equiv_congr_left _ _ M _ f).symm = equiv_congr_left f.symm := rfl
end equiv_congr_left
/-! ### Declarations about `filter` -/
section filter
section has_zero
variables [has_zero M] (p : α → Prop) (f : α →₀ M)
/-- `filter p f` is the function which is `f a` if `p a` is true and 0 otherwise. -/
def filter (p : α → Prop) (f : α →₀ M) : α →₀ M :=
{ to_fun := λ a, if p a then f a else 0,
support := f.support.filter (λ a, p a),
mem_support_to_fun := λ a, by split_ifs; { simp only [h, mem_filter, mem_support_iff], tauto } }
lemma filter_apply (a : α) [D : decidable (p a)] : f.filter p a = if p a then f a else 0 :=
by rw subsingleton.elim D; refl
lemma filter_eq_indicator : ⇑(f.filter p) = set.indicator {x | p x} f := rfl
@[simp] lemma filter_apply_pos {a : α} (h : p a) : f.filter p a = f a :=
if_pos h
@[simp] lemma filter_apply_neg {a : α} (h : ¬ p a) : f.filter p a = 0 :=
if_neg h
@[simp] lemma support_filter [D : decidable_pred p] : (f.filter p).support = f.support.filter p :=
by rw subsingleton.elim D; refl
lemma filter_zero : (0 : α →₀ M).filter p = 0 :=
by rw [← support_eq_empty, support_filter, support_zero, finset.filter_empty]
@[simp] lemma filter_single_of_pos
{a : α} {b : M} (h : p a) : (single a b).filter p = single a b :=
coe_fn_injective $ by simp [filter_eq_indicator, set.subset_def, mem_support_single, h]
@[simp] lemma filter_single_of_neg
{a : α} {b : M} (h : ¬ p a) : (single a b).filter p = 0 :=
ext $ by simp [filter_eq_indicator, single_apply_eq_zero, @imp.swap (p _), h]
end has_zero
lemma filter_pos_add_filter_neg [add_zero_class M] (f : α →₀ M) (p : α → Prop) :
f.filter p + f.filter (λa, ¬ p a) = f :=
coe_fn_injective $ set.indicator_self_add_compl {x | p x} f
end filter
/-! ### Declarations about `frange` -/
section frange
variables [has_zero M]
/-- `frange f` is the image of `f` on the support of `f`. -/
def frange (f : α →₀ M) : finset M := finset.image f f.support
theorem mem_frange {f : α →₀ M} {y : M} :
y ∈ f.frange ↔ y ≠ 0 ∧ ∃ x, f x = y :=
finset.mem_image.trans
⟨λ ⟨x, hx1, hx2⟩, ⟨hx2 ▸ mem_support_iff.1 hx1, x, hx2⟩,
λ ⟨hy, x, hx⟩, ⟨x, mem_support_iff.2 (hx.symm ▸ hy), hx⟩⟩
theorem zero_not_mem_frange {f : α →₀ M} : (0:M) ∉ f.frange :=
λ H, (mem_frange.1 H).1 rfl
theorem frange_single {x : α} {y : M} : frange (single x y) ⊆ {y} :=
λ r hr, let ⟨t, ht1, ht2⟩ := mem_frange.1 hr in ht2 ▸
(by rw single_apply at ht2 ⊢; split_ifs at ht2 ⊢; [exact finset.mem_singleton_self _, cc])
end frange
/-! ### Declarations about `subtype_domain` -/
section subtype_domain
section zero
variables [has_zero M] {p : α → Prop}
/-- `subtype_domain p f` is the restriction of the finitely supported function
`f` to the subtype `p`. -/
def subtype_domain (p : α → Prop) (f : α →₀ M) : (subtype p →₀ M) :=
⟨f.support.subtype p, f ∘ coe, λ a, by simp only [mem_subtype, mem_support_iff]⟩
@[simp] lemma support_subtype_domain [D : decidable_pred p] {f : α →₀ M} :
(subtype_domain p f).support = f.support.subtype p :=
by rw subsingleton.elim D; refl
@[simp] lemma subtype_domain_apply {a : subtype p} {v : α →₀ M} :
(subtype_domain p v) a = v (a.val) :=
rfl
@[simp] lemma subtype_domain_zero : subtype_domain p (0 : α →₀ M) = 0 :=
rfl
lemma subtype_domain_eq_zero_iff' {f : α →₀ M} :
f.subtype_domain p = 0 ↔ ∀ x, p x → f x = 0 :=
by simp_rw [← support_eq_empty, support_subtype_domain, subtype_eq_empty, not_mem_support_iff]
lemma subtype_domain_eq_zero_iff {f : α →₀ M} (hf : ∀ x ∈ f.support , p x) :
f.subtype_domain p = 0 ↔ f = 0 :=
subtype_domain_eq_zero_iff'.trans ⟨λ H, ext $ λ x,
if hx : p x then H x hx else not_mem_support_iff.1 $ mt (hf x) hx, λ H x _, by simp [H]⟩
@[to_additive]
lemma prod_subtype_domain_index [comm_monoid N] {v : α →₀ M}
{h : α → M → N} (hp : ∀x∈v.support, p x) :
(v.subtype_domain p).prod (λa b, h a b) = v.prod h :=
prod_bij (λp _, p.val)
(λ _, mem_subtype.1)
(λ _ _, rfl)
(λ _ _ _ _, subtype.eq)
(λ b hb, ⟨⟨b, hp b hb⟩, mem_subtype.2 hb, rfl⟩)
end zero
section add_zero_class
variables [add_zero_class M] {p : α → Prop} {v v' : α →₀ M}
@[simp] lemma subtype_domain_add {v v' : α →₀ M} :
(v + v').subtype_domain p = v.subtype_domain p + v'.subtype_domain p :=
ext $ λ _, rfl
/-- `subtype_domain` but as an `add_monoid_hom`. -/
def subtype_domain_add_monoid_hom : (α →₀ M) →+ subtype p →₀ M :=
{ to_fun := subtype_domain p,
map_zero' := subtype_domain_zero,
map_add' := λ _ _, subtype_domain_add }
/-- `finsupp.filter` as an `add_monoid_hom`. -/
def filter_add_hom (p : α → Prop) : (α →₀ M) →+ (α →₀ M) :=
{ to_fun := filter p,
map_zero' := filter_zero p,
map_add' := λ f g, coe_fn_injective $ set.indicator_add {x | p x} f g }
@[simp] lemma filter_add {v v' : α →₀ M} : (v + v').filter p = v.filter p + v'.filter p :=
(filter_add_hom p).map_add v v'
end add_zero_class
section comm_monoid
variables [add_comm_monoid M] {p : α → Prop}
lemma subtype_domain_sum {s : finset ι} {h : ι → α →₀ M} :
(∑ c in s, h c).subtype_domain p = ∑ c in s, (h c).subtype_domain p :=
(subtype_domain_add_monoid_hom : _ →+ subtype p →₀ M).map_sum _ s
lemma subtype_domain_finsupp_sum [has_zero N] {s : β →₀ N} {h : β → N → α →₀ M} :
(s.sum h).subtype_domain p = s.sum (λc d, (h c d).subtype_domain p) :=
subtype_domain_sum
lemma filter_sum (s : finset ι) (f : ι → α →₀ M) :
(∑ a in s, f a).filter p = ∑ a in s, filter p (f a) :=
(filter_add_hom p : (α →₀ M) →+ _).map_sum f s
lemma filter_eq_sum (p : α → Prop) [D : decidable_pred p] (f : α →₀ M) :
f.filter p = ∑ i in f.support.filter p, single i (f i) :=
(f.filter p).sum_single.symm.trans $ finset.sum_congr (by rw subsingleton.elim D; refl) $
λ x hx, by rw [filter_apply_pos _ _ (mem_filter.1 hx).2]
end comm_monoid
section group
variables [add_group G] {p : α → Prop} {v v' : α →₀ G}
@[simp] lemma subtype_domain_neg : (- v).subtype_domain p = - v.subtype_domain p :=
ext $ λ _, rfl
@[simp] lemma subtype_domain_sub :
(v - v').subtype_domain p = v.subtype_domain p - v'.subtype_domain p :=
ext $ λ _, rfl
@[simp] lemma single_neg {a : α} {b : G} : single a (-b) = -single a b :=
(single_add_hom a : G →+ _).map_neg b
@[simp] lemma single_sub {a : α} {b₁ b₂ : G} : single a (b₁ - b₂) = single a b₁ - single a b₂ :=
(single_add_hom a : G →+ _).map_sub b₁ b₂
@[simp] lemma erase_neg (a : α) (f : α →₀ G) : erase a (-f) = -erase a f :=
(erase_add_hom a : (_ →₀ G) →+ _).map_neg f
@[simp] lemma erase_sub (a : α) (f₁ f₂ : α →₀ G) : erase a (f₁ - f₂) = erase a f₁ - erase a f₂ :=
(erase_add_hom a : (_ →₀ G) →+ _).map_sub f₁ f₂
@[simp] lemma filter_neg (p : α → Prop) (f : α →₀ G) : filter p (-f) = -filter p f :=
(filter_add_hom p : (_ →₀ G) →+ _).map_neg f
@[simp] lemma filter_sub (p : α → Prop) (f₁ f₂ : α →₀ G) :
filter p (f₁ - f₂) = filter p f₁ - filter p f₂ :=
(filter_add_hom p : (_ →₀ G) →+ _).map_sub f₁ f₂
end group
end subtype_domain
/-! ### Declarations relating `finsupp` to `multiset` -/
section multiset
/-- Given `f : α →₀ ℕ`, `f.to_multiset` is the multiset with multiplicities given by the values of
`f` on the elements of `α`. We define this function as an `add_equiv`. -/
def to_multiset : (α →₀ ℕ) ≃+ multiset α :=
{ to_fun := λ f, f.sum (λa n, n • {a}),
inv_fun := λ s, ⟨s.to_finset, λ a, s.count a, λ a, by simp⟩,
left_inv := λ f, ext $ λ a, by {
simp only [sum, multiset.count_sum', multiset.count_singleton, mul_boole, coe_mk,
multiset.mem_to_finset, iff_self, not_not, mem_support_iff, ite_eq_left_iff, ne.def,
multiset.count_eq_zero, multiset.count_nsmul, finset.sum_ite_eq, ite_not],
exact eq.symm },
right_inv := λ s, by simp only [sum, coe_mk, multiset.to_finset_sum_count_nsmul_eq],
map_add' := λ f g, sum_add_index (λ a, zero_nsmul _) (λ a, add_nsmul _) }
lemma to_multiset_zero : (0 : α →₀ ℕ).to_multiset = 0 :=
rfl
lemma to_multiset_add (m n : α →₀ ℕ) :
(m + n).to_multiset = m.to_multiset + n.to_multiset :=
to_multiset.map_add m n
lemma to_multiset_apply (f : α →₀ ℕ) : f.to_multiset = f.sum (λ a n, n • {a}) := rfl
@[simp]
lemma to_multiset_symm_apply (s : multiset α) (x : α) :
finsupp.to_multiset.symm s x = s.count x :=
rfl
@[simp] lemma to_multiset_single (a : α) (n : ℕ) : to_multiset (single a n) = n • {a} :=
by rw [to_multiset_apply, sum_single_index]; apply zero_nsmul
lemma to_multiset_sum {ι : Type*} {f : ι → α →₀ ℕ} (s : finset ι) :
finsupp.to_multiset (∑ i in s, f i) = ∑ i in s, finsupp.to_multiset (f i) :=
add_equiv.map_sum _ _ _
lemma to_multiset_sum_single {ι : Type*} (s : finset ι) (n : ℕ) :
finsupp.to_multiset (∑ i in s, single i n) = n • s.val :=
by simp_rw [to_multiset_sum, finsupp.to_multiset_single, sum_nsmul, sum_multiset_singleton]
lemma card_to_multiset (f : α →₀ ℕ) : f.to_multiset.card = f.sum (λa, id) :=
by simp [to_multiset_apply, add_monoid_hom.map_finsupp_sum, function.id_def]
lemma to_multiset_map (f : α →₀ ℕ) (g : α → β) :
f.to_multiset.map g = (f.map_domain g).to_multiset :=
begin
refine f.induction _ _,
{ rw [to_multiset_zero, multiset.map_zero, map_domain_zero, to_multiset_zero] },
{ assume a n f _ _ ih,
rw [to_multiset_add, multiset.map_add, ih, map_domain_add, map_domain_single,
to_multiset_single, to_multiset_add, to_multiset_single,
← multiset.coe_map_add_monoid_hom, (multiset.map_add_monoid_hom g).map_nsmul],
refl }
end
@[simp] lemma prod_to_multiset [comm_monoid M] (f : M →₀ ℕ) :
f.to_multiset.prod = f.prod (λa n, a ^ n) :=
begin
refine f.induction _ _,
{ rw [to_multiset_zero, multiset.prod_zero, finsupp.prod_zero_index] },
{ assume a n f _ _ ih,
rw [to_multiset_add, multiset.prod_add, ih, to_multiset_single, finsupp.prod_add_index,
finsupp.prod_single_index, multiset.prod_nsmul, multiset.prod_singleton],
{ exact pow_zero a },
{ exact pow_zero },
{ exact pow_add } }
end
@[simp] lemma to_finset_to_multiset [decidable_eq α] (f : α →₀ ℕ) :
f.to_multiset.to_finset = f.support :=
begin
refine f.induction _ _,
{ rw [to_multiset_zero, multiset.to_finset_zero, support_zero] },
{ assume a n f ha hn ih,
rw [to_multiset_add, multiset.to_finset_add, ih, to_multiset_single, support_add_eq,
support_single_ne_zero hn, multiset.to_finset_nsmul _ _ hn, multiset.to_finset_singleton],
refine disjoint.mono_left support_single_subset _,
rwa [finset.singleton_disjoint] }
end
@[simp] lemma count_to_multiset [decidable_eq α] (f : α →₀ ℕ) (a : α) :
f.to_multiset.count a = f a :=
calc f.to_multiset.count a = f.sum (λx n, (n • {x} : multiset α).count a) :
(multiset.count_add_monoid_hom a).map_sum _ f.support
... = f.sum (λx n, n * ({x} : multiset α).count a) : by simp only [multiset.count_nsmul]
... = f a * ({a} : multiset α).count a : sum_eq_single _
(λ a' _ H, by simp only [multiset.count_singleton, if_false, H.symm, mul_zero])
(λ H, by simp only [not_mem_support_iff.1 H, zero_mul])
... = f a : by rw [multiset.count_singleton_self, mul_one]
lemma mem_support_multiset_sum [add_comm_monoid M]
{s : multiset (α →₀ M)} (a : α) :
a ∈ s.sum.support → ∃f∈s, a ∈ (f : α →₀ M).support :=
multiset.induction_on s false.elim
begin
assume f s ih ha,
by_cases a ∈ f.support,
{ exact ⟨f, multiset.mem_cons_self _ _, h⟩ },
{ simp only [multiset.sum_cons, mem_support_iff, add_apply,
not_mem_support_iff.1 h, zero_add] at ha,
rcases ih (mem_support_iff.2 ha) with ⟨f', h₀, h₁⟩,
exact ⟨f', multiset.mem_cons_of_mem h₀, h₁⟩ }
end
lemma mem_support_finset_sum [add_comm_monoid M]
{s : finset ι} {h : ι → α →₀ M} (a : α) (ha : a ∈ (∑ c in s, h c).support) :
∃ c ∈ s, a ∈ (h c).support :=
let ⟨f, hf, hfa⟩ := mem_support_multiset_sum a ha in
let ⟨c, hc, eq⟩ := multiset.mem_map.1 hf in
⟨c, hc, eq.symm ▸ hfa⟩
@[simp] lemma mem_to_multiset (f : α →₀ ℕ) (i : α) :
i ∈ f.to_multiset ↔ i ∈ f.support :=
by rw [← multiset.count_ne_zero, finsupp.count_to_multiset, finsupp.mem_support_iff]
end multiset
/-! ### Declarations about `curry` and `uncurry` -/
section curry_uncurry
variables [add_comm_monoid M] [add_comm_monoid N]
/-- Given a finitely supported function `f` from a product type `α × β` to `γ`,
`curry f` is the "curried" finitely supported function from `α` to the type of
finitely supported functions from `β` to `γ`. -/
protected def curry (f : (α × β) →₀ M) : α →₀ (β →₀ M) :=
f.sum $ λp c, single p.1 (single p.2 c)
@[simp] lemma curry_apply (f : (α × β) →₀ M) (x : α) (y : β) :
f.curry x y = f (x, y) :=
begin
have : ∀ (b : α × β), single b.fst (single b.snd (f b)) x y = if b = (x, y) then f b else 0,
{ rintros ⟨b₁, b₂⟩,
simp [single_apply, ite_apply, prod.ext_iff, ite_and],
split_ifs; simp [single_apply, *] },
rw [finsupp.curry, sum_apply, sum_apply, finsupp.sum, finset.sum_eq_single, this, if_pos rfl],
{ intros b hb b_ne, rw [this b, if_neg b_ne] },
{ intros hxy, rw [this (x, y), if_pos rfl, not_mem_support_iff.mp hxy] }
end
lemma sum_curry_index (f : (α × β) →₀ M) (g : α → β → M → N)
(hg₀ : ∀ a b, g a b 0 = 0) (hg₁ : ∀a b c₀ c₁, g a b (c₀ + c₁) = g a b c₀ + g a b c₁) :
f.curry.sum (λa f, f.sum (g a)) = f.sum (λp c, g p.1 p.2 c) :=
begin
rw [finsupp.curry],
transitivity,
{ exact sum_sum_index (assume a, sum_zero_index)
(assume a b₀ b₁, sum_add_index (assume a, hg₀ _ _) (assume c d₀ d₁, hg₁ _ _ _ _)) },
congr, funext p c,
transitivity,
{ exact sum_single_index sum_zero_index },
exact sum_single_index (hg₀ _ _)
end
/-- Given a finitely supported function `f` from `α` to the type of
finitely supported functions from `β` to `M`,
`uncurry f` is the "uncurried" finitely supported function from `α × β` to `M`. -/
protected def uncurry (f : α →₀ (β →₀ M)) : (α × β) →₀ M :=
f.sum $ λa g, g.sum $ λb c, single (a, b) c
/-- `finsupp_prod_equiv` defines the `equiv` between `((α × β) →₀ M)` and `(α →₀ (β →₀ M))` given by
currying and uncurrying. -/
def finsupp_prod_equiv : ((α × β) →₀ M) ≃ (α →₀ (β →₀ M)) :=
by refine ⟨finsupp.curry, finsupp.uncurry, λ f, _, λ f, _⟩; simp only [
finsupp.curry, finsupp.uncurry, sum_sum_index, sum_zero_index, sum_add_index,
sum_single_index, single_zero, single_add, eq_self_iff_true, forall_true_iff,
forall_3_true_iff, prod.mk.eta, (single_sum _ _ _).symm, sum_single]
lemma filter_curry (f : α × β →₀ M) (p : α → Prop) :
(f.filter (λa:α×β, p a.1)).curry = f.curry.filter p :=
begin
rw [finsupp.curry, finsupp.curry, finsupp.sum, finsupp.sum, filter_sum, support_filter,
sum_filter],
refine finset.sum_congr rfl _,
rintros ⟨a₁, a₂⟩ ha,
dsimp only,
split_ifs,
{ rw [filter_apply_pos, filter_single_of_pos]; exact h },
{ rwa [filter_single_of_neg] }
end
lemma support_curry [decidable_eq α] (f : α × β →₀ M) :
f.curry.support ⊆ f.support.image prod.fst :=
begin
rw ← finset.bUnion_singleton,
refine finset.subset.trans support_sum _,
refine finset.bUnion_mono (assume a _, support_single_subset)
end
end curry_uncurry
section sum
/-- `finsupp.sum_elim f g` maps `inl x` to `f x` and `inr y` to `g y`. -/
def sum_elim {α β γ : Type*} [has_zero γ]
(f : α →₀ γ) (g : β →₀ γ) : α ⊕ β →₀ γ :=
on_finset
((f.support.map ⟨_, sum.inl_injective⟩) ∪ g.support.map ⟨_, sum.inr_injective⟩)
(sum.elim f g)
(λ ab h, by { cases ab with a b; simp only [sum.elim_inl, sum.elim_inr] at h; simpa })
@[simp] lemma coe_sum_elim {α β γ : Type*} [has_zero γ]
(f : α →₀ γ) (g : β →₀ γ) : ⇑(sum_elim f g) = sum.elim f g := rfl
lemma sum_elim_apply {α β γ : Type*} [has_zero γ]
(f : α →₀ γ) (g : β →₀ γ) (x : α ⊕ β) : sum_elim f g x = sum.elim f g x := rfl
lemma sum_elim_inl {α β γ : Type*} [has_zero γ]
(f : α →₀ γ) (g : β →₀ γ) (x : α) : sum_elim f g (sum.inl x) = f x := rfl
lemma sum_elim_inr {α β γ : Type*} [has_zero γ]
(f : α →₀ γ) (g : β →₀ γ) (x : β) : sum_elim f g (sum.inr x) = g x := rfl
/-- The equivalence between `(α ⊕ β) →₀ γ` and `(α →₀ γ) × (β →₀ γ)`.
This is the `finsupp` version of `equiv.sum_arrow_equiv_prod_arrow`. -/
@[simps apply symm_apply]
def sum_finsupp_equiv_prod_finsupp {α β γ : Type*} [has_zero γ] :
((α ⊕ β) →₀ γ) ≃ (α →₀ γ) × (β →₀ γ) :=
{ to_fun := λ f,
⟨f.comap_domain sum.inl (sum.inl_injective.inj_on _),
f.comap_domain sum.inr (sum.inr_injective.inj_on _)⟩,
inv_fun := λ fg, sum_elim fg.1 fg.2,
left_inv := λ f, by { ext ab, cases ab with a b; simp },
right_inv := λ fg, by { ext; simp } }
lemma fst_sum_finsupp_equiv_prod_finsupp {α β γ : Type*} [has_zero γ]
(f : (α ⊕ β) →₀ γ) (x : α) :
(sum_finsupp_equiv_prod_finsupp f).1 x = f (sum.inl x) :=
rfl
lemma snd_sum_finsupp_equiv_prod_finsupp {α β γ : Type*} [has_zero γ]
(f : (α ⊕ β) →₀ γ) (y : β) :
(sum_finsupp_equiv_prod_finsupp f).2 y = f (sum.inr y) :=
rfl
lemma sum_finsupp_equiv_prod_finsupp_symm_inl {α β γ : Type*} [has_zero γ]
(fg : (α →₀ γ) × (β →₀ γ)) (x : α) :
(sum_finsupp_equiv_prod_finsupp.symm fg) (sum.inl x) = fg.1 x :=
rfl
lemma sum_finsupp_equiv_prod_finsupp_symm_inr {α β γ : Type*} [has_zero γ]
(fg : (α →₀ γ) × (β →₀ γ)) (y : β) :
(sum_finsupp_equiv_prod_finsupp.symm fg) (sum.inr y) = fg.2 y :=
rfl
variables [add_monoid M]
/-- The additive equivalence between `(α ⊕ β) →₀ M` and `(α →₀ M) × (β →₀ M)`.
This is the `finsupp` version of `equiv.sum_arrow_equiv_prod_arrow`. -/
@[simps apply symm_apply] def sum_finsupp_add_equiv_prod_finsupp {α β : Type*} :
((α ⊕ β) →₀ M) ≃+ (α →₀ M) × (β →₀ M) :=
{ map_add' :=
by { intros, ext;
simp only [equiv.to_fun_as_coe, prod.fst_add, prod.snd_add, add_apply,
snd_sum_finsupp_equiv_prod_finsupp, fst_sum_finsupp_equiv_prod_finsupp] },
.. sum_finsupp_equiv_prod_finsupp }
lemma fst_sum_finsupp_add_equiv_prod_finsupp {α β : Type*}
(f : (α ⊕ β) →₀ M) (x : α) :
(sum_finsupp_add_equiv_prod_finsupp f).1 x = f (sum.inl x) :=
rfl
lemma snd_sum_finsupp_add_equiv_prod_finsupp {α β : Type*}
(f : (α ⊕ β) →₀ M) (y : β) :
(sum_finsupp_add_equiv_prod_finsupp f).2 y = f (sum.inr y) :=
rfl
lemma sum_finsupp_add_equiv_prod_finsupp_symm_inl {α β : Type*}
(fg : (α →₀ M) × (β →₀ M)) (x : α) :
(sum_finsupp_add_equiv_prod_finsupp.symm fg) (sum.inl x) = fg.1 x :=
rfl
lemma sum_finsupp_add_equiv_prod_finsupp_symm_inr {α β : Type*}
(fg : (α →₀ M) × (β →₀ M)) (y : β) :
(sum_finsupp_add_equiv_prod_finsupp.symm fg) (sum.inr y) = fg.2 y :=
rfl
end sum
section
variables [group G] [mul_action G α] [add_comm_monoid M]
/--
Scalar multiplication by a group element g,
given by precomposition with the action of g⁻¹ on the domain.
-/
def comap_has_scalar : has_scalar G (α →₀ M) :=
{ smul := λ g f, f.comap_domain (λ a, g⁻¹ • a)
(λ a a' m m' h, by simpa [←mul_smul] using (congr_arg (λ a, g • a) h)) }
local attribute [instance] comap_has_scalar
/--
Scalar multiplication by a group element,
given by precomposition with the action of g⁻¹ on the domain,
is multiplicative in g.
-/
def comap_mul_action : mul_action G (α →₀ M) :=
{ one_smul := λ f, by { ext, dsimp [(•)], simp, },
mul_smul := λ g g' f, by { ext, dsimp [(•)], simp [mul_smul], }, }
local attribute [instance] comap_mul_action
/--
Scalar multiplication by a group element,
given by precomposition with the action of g⁻¹ on the domain,
is additive in the second argument.
-/
def comap_distrib_mul_action :
distrib_mul_action G (α →₀ M) :=
{ smul_zero := λ g, by { ext, dsimp [(•)], simp, },
smul_add := λ g f f', by { ext, dsimp [(•)], simp, }, }
/--
Scalar multiplication by a group element on finitely supported functions on a group,
given by precomposition with the action of g⁻¹. -/
def comap_distrib_mul_action_self :
distrib_mul_action G (G →₀ M) :=
@finsupp.comap_distrib_mul_action G M G _ (monoid.to_mul_action G) _
@[simp]
lemma comap_smul_single (g : G) (a : α) (b : M) :
g • single a b = single (g • a) b :=
begin
ext a',
dsimp [(•)],
by_cases h : g • a = a',
{ subst h, simp [←mul_smul], },
{ simp [single_eq_of_ne h], rw [single_eq_of_ne],
rintro rfl, simpa [←mul_smul] using h, }
end
@[simp]
lemma comap_smul_apply (g : G) (f : α →₀ M) (a : α) :
(g • f) a = f (g⁻¹ • a) := rfl
end
section
instance [monoid R] [add_monoid M] [distrib_mul_action R M] : has_scalar R (α →₀ M) :=
⟨λa v, v.map_range ((•) a) (smul_zero _)⟩
/-!
Throughout this section, some `monoid` and `semiring` arguments are specified with `{}` instead of
`[]`. See note [implicit instance arguments].
-/
@[simp] lemma coe_smul {_ : monoid R} [add_monoid M] [distrib_mul_action R M]
(b : R) (v : α →₀ M) : ⇑(b • v) = b • v := rfl
lemma smul_apply {_ : monoid R} [add_monoid M] [distrib_mul_action R M]
(b : R) (v : α →₀ M) (a : α) : (b • v) a = b • (v a) := rfl
lemma _root_.is_smul_regular.finsupp {_ : monoid R} [add_monoid M] [distrib_mul_action R M] {k : R}
(hk : is_smul_regular M k) : is_smul_regular (α →₀ M) k :=
λ _ _ h, ext $ λ i, hk (congr_fun h i)
instance [monoid R] [nonempty α] [add_monoid M] [distrib_mul_action R M] [has_faithful_scalar R M] :
has_faithful_scalar R (α →₀ M) :=
{ eq_of_smul_eq_smul := λ r₁ r₂ h, let ⟨a⟩ := ‹nonempty α› in eq_of_smul_eq_smul $ λ m : M,
by simpa using congr_fun (h (single a m)) a }
variables (α M)
instance [monoid R] [add_monoid M] [distrib_mul_action R M] : distrib_mul_action R (α →₀ M) :=
{ smul := (•),
smul_add := λ a x y, ext $ λ _, smul_add _ _ _,
one_smul := λ x, ext $ λ _, one_smul _ _,
mul_smul := λ r s x, ext $ λ _, mul_smul _ _ _,
smul_zero := λ x, ext $ λ _, smul_zero _ }
instance [monoid R] [monoid S] [add_monoid M] [distrib_mul_action R M] [distrib_mul_action S M]
[has_scalar R S] [is_scalar_tower R S M] :
is_scalar_tower R S (α →₀ M) :=
{ smul_assoc := λ r s a, ext $ λ _, smul_assoc _ _ _ }
instance [monoid R] [monoid S] [add_monoid M] [distrib_mul_action R M] [distrib_mul_action S M]
[smul_comm_class R S M] :
smul_comm_class R S (α →₀ M) :=
{ smul_comm := λ r s a, ext $ λ _, smul_comm _ _ _ }
instance [semiring R] [add_comm_monoid M] [module R M] : module R (α →₀ M) :=
{ smul := (•),
zero_smul := λ x, ext $ λ _, zero_smul _ _,
add_smul := λ a x y, ext $ λ _, add_smul _ _ _,
.. finsupp.distrib_mul_action α M }
variables {α M} {R}
lemma support_smul {_ : monoid R} [add_monoid M] [distrib_mul_action R M] {b : R} {g : α →₀ M} :
(b • g).support ⊆ g.support :=
λ a, by { simp only [smul_apply, mem_support_iff, ne.def], exact mt (λ h, h.symm ▸ smul_zero _) }
section
variables {p : α → Prop}
@[simp] lemma filter_smul {_ : monoid R} [add_monoid M] [distrib_mul_action R M]
{b : R} {v : α →₀ M} : (b • v).filter p = b • v.filter p :=
coe_fn_injective $ set.indicator_smul {x | p x} b v
end
lemma map_domain_smul {_ : monoid R} [add_comm_monoid M] [distrib_mul_action R M]
{f : α → β} (b : R) (v : α →₀ M) : map_domain f (b • v) = b • map_domain f v :=
begin
change map_domain f (map_range _ _ _) = map_range _ _ _,
apply finsupp.induction v, { simp only [map_domain_zero, map_range_zero] },
intros a b v' hv₁ hv₂ IH,
rw [map_range_add, map_domain_add, IH, map_domain_add, map_range_add,
map_range_single, map_domain_single, map_domain_single, map_range_single];
apply smul_add
end
@[simp] lemma smul_single {_ : monoid R} [add_monoid M] [distrib_mul_action R M]
(c : R) (a : α) (b : M) : c • finsupp.single a b = finsupp.single a (c • b) :=
map_range_single
@[simp] lemma smul_single' {_ : semiring R}
(c : R) (a : α) (b : R) : c • finsupp.single a b = finsupp.single a (c * b) :=
smul_single _ _ _
lemma map_range_smul {_ : monoid R} [add_monoid M] [distrib_mul_action R M]
[add_monoid N] [distrib_mul_action R N]
{f : M → N} {hf : f 0 = 0} (c : R) (v : α →₀ M) (hsmul : ∀ x, f (c • x) = c • f x) :
map_range f hf (c • v) = c • map_range f hf v :=
begin
erw ←map_range_comp,
have : (f ∘ (•) c) = ((•) c ∘ f) := funext hsmul,
simp_rw this,
apply map_range_comp,
rw [function.comp_apply, smul_zero, hf],
end
lemma smul_single_one [semiring R] (a : α) (b : R) : b • single a 1 = single a b :=
by rw [smul_single, smul_eq_mul, mul_one]
end
lemma sum_smul_index [semiring R] [add_comm_monoid M] {g : α →₀ R} {b : R} {h : α → R → M}
(h0 : ∀i, h i 0 = 0) : (b • g).sum h = g.sum (λi a, h i (b * a)) :=
finsupp.sum_map_range_index h0
lemma sum_smul_index' [monoid R] [add_monoid M] [distrib_mul_action R M] [add_comm_monoid N]
{g : α →₀ M} {b : R} {h : α → M → N} (h0 : ∀i, h i 0 = 0) :
(b • g).sum h = g.sum (λi c, h i (b • c)) :=
finsupp.sum_map_range_index h0
/-- A version of `finsupp.sum_smul_index'` for bundled additive maps. -/
lemma sum_smul_index_add_monoid_hom
[monoid R] [add_monoid M] [add_comm_monoid N] [distrib_mul_action R M]
{g : α →₀ M} {b : R} {h : α → M →+ N} :
(b • g).sum (λ a, h a) = g.sum (λ i c, h i (b • c)) :=
sum_map_range_index (λ i, (h i).map_zero)
instance [semiring R] [add_comm_monoid M] [module R M] {ι : Type*}
[no_zero_smul_divisors R M] : no_zero_smul_divisors R (ι →₀ M) :=
⟨λ c f h, or_iff_not_imp_left.mpr (λ hc, finsupp.ext
(λ i, (smul_eq_zero.mp (finsupp.ext_iff.mp h i)).resolve_left hc))⟩
section distrib_mul_action_hom
variables [semiring R]
variables [add_comm_monoid M] [add_comm_monoid N] [distrib_mul_action R M] [distrib_mul_action R N]
/-- `finsupp.single` as a `distrib_mul_action_hom`.
See also `finsupp.lsingle` for the version as a linear map. -/
def distrib_mul_action_hom.single (a : α) : M →+[R] (α →₀ M) :=
{ map_smul' :=
λ k m, by simp only [add_monoid_hom.to_fun_eq_coe, single_add_hom_apply, smul_single],
.. single_add_hom a }
lemma distrib_mul_action_hom_ext {f g : (α →₀ M) →+[R] N}
(h : ∀ (a : α) (m : M), f (single a m) = g (single a m)) :
f = g :=
distrib_mul_action_hom.to_add_monoid_hom_injective $ add_hom_ext h
/-- See note [partially-applied ext lemmas]. -/
@[ext] lemma distrib_mul_action_hom_ext' {f g : (α →₀ M) →+[R] N}
(h : ∀ (a : α), f.comp (distrib_mul_action_hom.single a) =
g.comp (distrib_mul_action_hom.single a)) :
f = g :=
distrib_mul_action_hom_ext $ λ a, distrib_mul_action_hom.congr_fun (h a)
end distrib_mul_action_hom
section
variables [has_zero R]
/-- The `finsupp` version of `pi.unique`. -/
instance unique_of_right [subsingleton R] : unique (α →₀ R) :=
{ uniq := λ l, ext $ λ i, subsingleton.elim _ _,
.. finsupp.inhabited }
/-- The `finsupp` version of `pi.unique_of_is_empty`. -/
instance unique_of_left [is_empty α] : unique (α →₀ R) :=
{ uniq := λ l, ext is_empty_elim,
.. finsupp.inhabited }
end
/-- Given an `add_comm_monoid M` and `s : set α`, `restrict_support_equiv s M` is the `equiv`
between the subtype of finitely supported functions with support contained in `s` and
the type of finitely supported functions from `s`. -/
def restrict_support_equiv (s : set α) (M : Type*) [add_comm_monoid M] :
{f : α →₀ M // ↑f.support ⊆ s } ≃ (s →₀ M) :=
begin
refine ⟨λf, subtype_domain (λx, x ∈ s) f.1, λ f, ⟨f.map_domain subtype.val, _⟩, _, _⟩,
{ refine set.subset.trans (finset.coe_subset.2 map_domain_support) _,
rw [finset.coe_image, set.image_subset_iff],
exact assume x hx, x.2 },
{ rintros ⟨f, hf⟩,
apply subtype.eq,
ext a,
dsimp only,
refine classical.by_cases (assume h : a ∈ set.range (subtype.val : s → α), _) (assume h, _),
{ rcases h with ⟨x, rfl⟩,
rw [map_domain_apply subtype.val_injective, subtype_domain_apply] },
{ convert map_domain_notin_range _ _ h,
rw [← not_mem_support_iff],
refine mt _ h,
exact assume ha, ⟨⟨a, hf ha⟩, rfl⟩ } },
{ assume f,
ext ⟨a, ha⟩,
dsimp only,
rw [subtype_domain_apply, map_domain_apply subtype.val_injective] }
end
/-- Given `add_comm_monoid M` and `e : α ≃ β`, `dom_congr e` is the corresponding `equiv` between
`α →₀ M` and `β →₀ M`.
This is `finsupp.equiv_congr_left` as an `add_equiv`. -/
@[simps apply]
protected def dom_congr [add_comm_monoid M] (e : α ≃ β) : (α →₀ M) ≃+ (β →₀ M) :=
{ to_fun := equiv_map_domain e,
inv_fun := equiv_map_domain e.symm,
left_inv := λ v, begin
simp only [← equiv_map_domain_trans, equiv.trans_symm],
exact equiv_map_domain_refl _
end,
right_inv := begin
assume v,
simp only [← equiv_map_domain_trans, equiv.symm_trans],
exact equiv_map_domain_refl _
end,
map_add' := λ a b, by simp only [equiv_map_domain_eq_map_domain]; exact map_domain_add }
@[simp] lemma dom_congr_refl [add_comm_monoid M] :
finsupp.dom_congr (equiv.refl α) = add_equiv.refl (α →₀ M) :=
add_equiv.ext $ λ _, equiv_map_domain_refl _
@[simp] lemma dom_congr_symm [add_comm_monoid M] (e : α ≃ β) :
(finsupp.dom_congr e).symm = (finsupp.dom_congr e.symm : (β →₀ M) ≃+ (α →₀ M)):=
add_equiv.ext $ λ _, rfl
@[simp] lemma dom_congr_trans [add_comm_monoid M] (e : α ≃ β) (f : β ≃ γ) :
(finsupp.dom_congr e).trans (finsupp.dom_congr f) =
(finsupp.dom_congr (e.trans f) : (α →₀ M) ≃+ _) :=
add_equiv.ext $ λ _, (equiv_map_domain_trans _ _ _).symm
end finsupp
namespace finsupp
/-! ### Declarations about sigma types -/
section sigma
variables {αs : ι → Type*} [has_zero M] (l : (Σ i, αs i) →₀ M)
/-- Given `l`, a finitely supported function from the sigma type `Σ (i : ι), αs i` to `M` and
an index element `i : ι`, `split l i` is the `i`th component of `l`,
a finitely supported function from `as i` to `M`.
This is the `finsupp` version of `sigma.curry`.
-/
def split (i : ι) : αs i →₀ M :=
l.comap_domain (sigma.mk i) (λ x1 x2 _ _ hx, heq_iff_eq.1 (sigma.mk.inj hx).2)
lemma split_apply (i : ι) (x : αs i) : split l i x = l ⟨i, x⟩ :=
begin
dunfold split,
rw comap_domain_apply
end
/-- Given `l`, a finitely supported function from the sigma type `Σ (i : ι), αs i` to `β`,
`split_support l` is the finset of indices in `ι` that appear in the support of `l`. -/
def split_support : finset ι := l.support.image sigma.fst
lemma mem_split_support_iff_nonzero (i : ι) :
i ∈ split_support l ↔ split l i ≠ 0 :=
begin
rw [split_support, mem_image, ne.def, ← support_eq_empty, ← ne.def,
← finset.nonempty_iff_ne_empty, split, comap_domain, finset.nonempty],
simp only [exists_prop, finset.mem_preimage, exists_and_distrib_right, exists_eq_right,
mem_support_iff, sigma.exists, ne.def]
end
/-- Given `l`, a finitely supported function from the sigma type `Σ i, αs i` to `β` and
an `ι`-indexed family `g` of functions from `(αs i →₀ β)` to `γ`, `split_comp` defines a
finitely supported function from the index type `ι` to `γ` given by composing `g i` with
`split l i`. -/
def split_comp [has_zero N] (g : Π i, (αs i →₀ M) → N)
(hg : ∀ i x, x = 0 ↔ g i x = 0) : ι →₀ N :=
{ support := split_support l,
to_fun := λ i, g i (split l i),
mem_support_to_fun :=
begin
intros i,
rw [mem_split_support_iff_nonzero, not_iff_not, hg],
end }
lemma sigma_support : l.support = l.split_support.sigma (λ i, (l.split i).support) :=
by simp only [finset.ext_iff, split_support, split, comap_domain, mem_image,
mem_preimage, sigma.forall, mem_sigma]; tauto
lemma sigma_sum [add_comm_monoid N] (f : (Σ (i : ι), αs i) → M → N) :
l.sum f = ∑ i in split_support l, (split l i).sum (λ (a : αs i) b, f ⟨i, a⟩ b) :=
by simp only [sum, sigma_support, sum_sigma, split_apply]
variables {η : Type*} [fintype η] {ιs : η → Type*} [has_zero α]
/-- On a `fintype η`, `finsupp.split` is an equivalence between `(Σ (j : η), ιs j) →₀ α`
and `Π j, (ιs j →₀ α)`.
This is the `finsupp` version of `equiv.Pi_curry`. -/
noncomputable def sigma_finsupp_equiv_pi_finsupp :
((Σ j, ιs j) →₀ α) ≃ Π j, (ιs j →₀ α) :=
{ to_fun := split,
inv_fun := λ f, on_finset
(finset.univ.sigma (λ j, (f j).support))
(λ ji, f ji.1 ji.2)
(λ g hg, finset.mem_sigma.mpr ⟨finset.mem_univ _, mem_support_iff.mpr hg⟩),
left_inv := λ f, by { ext, simp [split] },
right_inv := λ f, by { ext, simp [split] } }
@[simp] lemma sigma_finsupp_equiv_pi_finsupp_apply
(f : (Σ j, ιs j) →₀ α) (j i) :
sigma_finsupp_equiv_pi_finsupp f j i = f ⟨j, i⟩ := rfl
/-- On a `fintype η`, `finsupp.split` is an additive equivalence between
`(Σ (j : η), ιs j) →₀ α` and `Π j, (ιs j →₀ α)`.
This is the `add_equiv` version of `finsupp.sigma_finsupp_equiv_pi_finsupp`.
-/
noncomputable def sigma_finsupp_add_equiv_pi_finsupp
{α : Type*} {ιs : η → Type*} [add_monoid α] :
((Σ j, ιs j) →₀ α) ≃+ Π j, (ιs j →₀ α) :=
{ map_add' := λ f g, by { ext, simp },
.. sigma_finsupp_equiv_pi_finsupp }
@[simp] lemma sigma_finsupp_add_equiv_pi_finsupp_apply
{α : Type*} {ιs : η → Type*} [add_monoid α] (f : (Σ j, ιs j) →₀ α) (j i) :
sigma_finsupp_add_equiv_pi_finsupp f j i = f ⟨j, i⟩ := rfl
end sigma
end finsupp
/-! ### Declarations relating `multiset` to `finsupp` -/
namespace multiset
/-- Given a multiset `s`, `s.to_finsupp` returns the finitely supported function on `ℕ` given by
the multiplicities of the elements of `s`. -/
def to_finsupp : multiset α ≃+ (α →₀ ℕ) := finsupp.to_multiset.symm
@[simp] lemma to_finsupp_support [D : decidable_eq α] (s : multiset α) :
s.to_finsupp.support = s.to_finset :=
by rw subsingleton.elim D; refl
@[simp] lemma to_finsupp_apply [D : decidable_eq α] (s : multiset α) (a : α) :
to_finsupp s a = s.count a :=
by rw subsingleton.elim D; refl
lemma to_finsupp_zero : to_finsupp (0 : multiset α) = 0 := add_equiv.map_zero _
lemma to_finsupp_add (s t : multiset α) :
to_finsupp (s + t) = to_finsupp s + to_finsupp t :=
to_finsupp.map_add s t
@[simp] lemma to_finsupp_singleton (a : α) : to_finsupp ({a} : multiset α) = finsupp.single a 1 :=
finsupp.to_multiset.symm_apply_eq.2 $ by simp
@[simp] lemma to_finsupp_to_multiset (s : multiset α) :
s.to_finsupp.to_multiset = s :=
finsupp.to_multiset.apply_symm_apply s
lemma to_finsupp_eq_iff {s : multiset α} {f : α →₀ ℕ} : s.to_finsupp = f ↔ s = f.to_multiset :=
finsupp.to_multiset.symm_apply_eq
end multiset
@[simp] lemma finsupp.to_multiset_to_finsupp (f : α →₀ ℕ) :
f.to_multiset.to_finsupp = f :=
finsupp.to_multiset.symm_apply_apply f
/-! ### Declarations about order(ed) instances on `finsupp` -/
namespace finsupp
instance [preorder M] [has_zero M] : preorder (α →₀ M) :=
{ le := λ f g, ∀ s, f s ≤ g s,
le_refl := λ f s, le_refl _,
le_trans := λ f g h Hfg Hgh s, le_trans (Hfg s) (Hgh s) }
instance [partial_order M] [has_zero M] : partial_order (α →₀ M) :=
{ le_antisymm := λ f g hfg hgf, ext $ λ s, le_antisymm (hfg s) (hgf s),
.. finsupp.preorder }
instance [ordered_cancel_add_comm_monoid M] : ordered_cancel_add_comm_monoid (α →₀ M) :=
{ add_le_add_left := λ a b h c s, add_le_add_left (h s) (c s),
le_of_add_le_add_left := λ a b c h s, le_of_add_le_add_left (h s),
add_left_cancel := λ a b c h, ext $ λ s, add_left_cancel (ext_iff.1 h s),
.. finsupp.add_comm_monoid, .. finsupp.partial_order }
lemma le_def [preorder M] [has_zero M] {f g : α →₀ M} : f ≤ g ↔ ∀ x, f x ≤ g x := iff.rfl
lemma le_iff' [canonically_ordered_add_monoid M] (f g : α →₀ M)
{t : finset α} (hf : f.support ⊆ t) :
f ≤ g ↔ ∀ s ∈ t, f s ≤ g s :=
⟨λ h s hs, h s,
λ h s, if H : s ∈ f.support then h s (hf H) else (not_mem_support_iff.1 H).symm ▸ zero_le (g s)⟩
lemma le_iff [canonically_ordered_add_monoid M] (f g : α →₀ M) :
f ≤ g ↔ ∀ s ∈ f.support, f s ≤ g s :=
le_iff' f g (subset.refl _)
instance decidable_le [canonically_ordered_add_monoid M] [decidable_rel (@has_le.le M _)] :
decidable_rel (@has_le.le (α →₀ M) _) :=
λ f g, decidable_of_iff _ (le_iff f g).symm
@[simp] lemma single_le_iff [canonically_ordered_add_monoid M] {i : α} {x : M} {f : α →₀ M} :
single i x ≤ f ↔ x ≤ f i :=
(le_iff' _ _ support_single_subset).trans $ by simp
@[simp] lemma add_eq_zero_iff [canonically_ordered_add_monoid M] (f g : α →₀ M) :
f + g = 0 ↔ f = 0 ∧ g = 0 :=
by simp [ext_iff, forall_and_distrib]
/-- `finsupp.to_multiset` as an order isomorphism. -/
def order_iso_multiset : (α →₀ ℕ) ≃o multiset α :=
{ to_equiv := to_multiset.to_equiv,
map_rel_iff' := λ f g, by simp [multiset.le_iff_count, le_def] }
@[simp] lemma coe_order_iso_multiset : ⇑(@order_iso_multiset α) = to_multiset := rfl
@[simp] lemma coe_order_iso_multiset_symm :
⇑(@order_iso_multiset α).symm = multiset.to_finsupp := rfl
lemma to_multiset_strict_mono : strict_mono (@to_multiset α) :=
order_iso_multiset.strict_mono
lemma sum_id_lt_of_lt (m n : α →₀ ℕ) (h : m < n) :
m.sum (λ _, id) < n.sum (λ _, id) :=
begin
rw [← card_to_multiset, ← card_to_multiset],
apply multiset.card_lt_of_lt,
exact to_multiset_strict_mono h
end
variable (α)
/-- The order on `σ →₀ ℕ` is well-founded.-/
lemma lt_wf : well_founded (@has_lt.lt (α →₀ ℕ) _) :=
subrelation.wf (sum_id_lt_of_lt) $ inv_image.wf _ nat.lt_wf
variable {α}
@[simp] lemma nat_add_sub_cancel (f g : α →₀ ℕ) : f + g - g = f :=
ext $ λ a, nat.add_sub_cancel _ _
@[simp] lemma nat_add_sub_cancel_left (f g : α →₀ ℕ) : f + g - f = g :=
ext $ λ a, nat.add_sub_cancel_left _ _
lemma nat_add_sub_of_le {f g : α →₀ ℕ} (h : f ≤ g) : f + (g - f) = g :=
ext $ λ a, nat.add_sub_of_le (h a)
lemma nat_sub_add_cancel {f g : α →₀ ℕ} (h : f ≤ g) : g - f + f = g :=
ext $ λ a, nat.sub_add_cancel (h a)
lemma nat_add_sub_assoc {f₁ f₂ : α →₀ ℕ} (h : f₁ ≤ f₂) (f₃ : α →₀ ℕ) :
f₃ + f₂ - f₁ = f₃ + (f₂ - f₁) :=
ext $ λ a, nat.add_sub_assoc (h _) _
instance : canonically_ordered_add_monoid (α →₀ ℕ) :=
{ bot := 0,
bot_le := λ f s, zero_le (f s),
le_iff_exists_add := λ f g, ⟨λ H, ⟨g - f, (nat_add_sub_of_le H).symm⟩,
λ ⟨c, hc⟩, hc.symm ▸ λ x, by simp⟩,
.. (infer_instance : ordered_add_comm_monoid (α →₀ ℕ)) }
end finsupp
namespace multiset
lemma to_finsuppstrict_mono : strict_mono (@to_finsupp α) :=
finsupp.order_iso_multiset.symm.strict_mono
end multiset
|
7fd11c395be68a8a37f98c81ec9deb9cc0bd15bb | 9dd3f3912f7321eb58ee9aa8f21778ad6221f87c | /library/tools/mini_crush/default.lean | 5b59eb85da955406e0f9aa9c25d3a34f91c898f3 | [
"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 | 8,645 | 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
We implement a crush-like strategy using simplifier,
SMT gadgets, and robust simplifier.
This is just a demo.
-/
declare_trace mini_crush
namespace mini_crush
open tactic
meta def size (e : expr) : nat :=
e^.fold 1 (λ e _ n, n+1)
/- Collect relevant functions -/
meta def is_auto_construction : name → bool
| (name.mk_string "brec_on" p) := tt
| (name.mk_string "cases_on" p) := tt
| (name.mk_string "rec_on" p) := tt
| (name.mk_string "no_confusion" p) := tt
| (name.mk_string "below" p) := tt
| _ := ff
meta def is_relevant_fn (n : name) : tactic bool :=
do env ← get_env,
if ¬env^.is_definition n ∨ is_auto_construction n then return ff
else if env^.in_current_file n then return tt
else in_open_namespaces n
meta def collect_revelant_fns_aux : name_set → expr → tactic name_set
| s e :=
e^.mfold s $ λ t _ s,
match t with
| expr.const c _ :=
if s^.contains c then return s
else mcond (is_relevant_fn c)
(do new_s ← return $ if c^.is_internal then s else s^.insert c,
d ← get_decl c,
collect_revelant_fns_aux new_s d^.value)
(return s)
| _ := return s
end
meta def collect_revelant_fns : tactic name_set :=
do ctx ← local_context,
s₁ ← mfoldl (λ s e, infer_type e >>= collect_revelant_fns_aux s) mk_name_set ctx,
target >>= collect_revelant_fns_aux s₁
meta def add_relevant_eqns (s : simp_lemmas) : tactic simp_lemmas :=
do fns ← collect_revelant_fns,
fns^.mfold s (λ fn s, get_eqn_lemmas_for tt fn >>= mfoldl simp_lemmas.add_simp s)
meta def add_relevant_eqns_h (hs : hinst_lemmas) : tactic hinst_lemmas :=
do fns ← collect_revelant_fns,
fns^.mfold hs (λ fn hs, get_eqn_lemmas_for tt fn >>= mfoldl (λ hs d, hs^.add <$> hinst_lemma.mk_from_decl d) hs)
/- Collect terms that are inductive datatypes -/
meta def is_inductive (e : expr) : tactic bool :=
do type ← infer_type e,
C ← return type^.get_app_fn,
env ← get_env,
return $ C^.is_constant && env^.is_inductive C^.const_name
meta def collect_inductive_aux : expr_set → expr → tactic expr_set
| S e :=
if S^.contains e then return S
else do
new_S ← mcond (is_inductive e) (return $ S^.insert e) (return S),
match e with
| expr.app _ _ := fold_explicit_args e new_S collect_inductive_aux
| expr.pi _ _ d b := if e^.is_arrow then collect_inductive_aux S d >>= flip collect_inductive_aux b else return new_S
| _ := return new_S
end
meta def collect_inductive : expr → tactic expr_set :=
collect_inductive_aux mk_expr_set
meta def collect_inductive_from_target : tactic (list expr) :=
do S ← target >>= collect_inductive,
return $ list.qsort (λ e₁ e₂, size e₁ < size e₂) $ S^.to_list
meta def collect_inductive_hyps : tactic (list expr) :=
local_context >>= mfoldl (λ r h, mcond (is_inductive h) (return $ h::r) (return r)) []
/- Induction -/
meta def try_induction_aux (cont : expr → tactic unit) : list expr → tactic unit
| [] := failed
| (e::es) := (step (induction e); cont e; now) <|> try_induction_aux es
meta def try_induction (cont : expr → tactic unit) : tactic unit :=
focus1 $ collect_inductive_hyps >>= try_induction_aux cont
/- Trace messages -/
meta def report {α : Type} [has_to_tactic_format α] (a : α) : tactic unit :=
when_tracing `mini_crush $ trace a
meta def report_failure (s : name) (e : option expr := none) : tactic unit :=
when_tracing `mini_crush $
match e with
| none := trace ("FAILED '" ++ to_string s ++ "' at")
| some e := (do p ← pp e, trace (to_fmt "FAILED '" ++ to_fmt s ++ "' processing '" ++ p ++ to_fmt "' at")) <|> trace ("FAILED '" ++ to_string s ++ "' at")
end
>> trace_state >> trace "--------------"
/- Simple tactic -/
meta def close_aux (hs : hinst_lemmas) : tactic unit :=
triv <|> reflexivity reducible <|> contradiction
<|> try_for 100 (rsimp {} hs >> now) <|> try_for 100 reflexivity
meta def close (hs : hinst_lemmas) (s : name) (e : option expr) : tactic unit :=
now
<|> close_aux hs
<|> report_failure s e >> failed
meta def simple (s : simp_lemmas) (hs : hinst_lemmas) (cfg : simp_config) (s_name : name) (h : option expr) : tactic unit :=
simph_intros_using s cfg >> close hs s_name h
/- Best first search -/
meta def snapshot := tactic_state
meta def save : tactic snapshot :=
tactic.read
meta def restore : snapshot → tactic unit :=
tactic.write
meta def try_snapshots {α} (cont : α → tactic unit) : list (α × snapshot) → tactic unit
| [] := failed
| ((a, s)::ss) := (restore s >> cont a >> now) <|> try_snapshots ss
meta def search {α} (max_depth : nat) (act : nat → α → tactic (list (α × snapshot))) : nat → α → tactic unit
| n s := do
now
<|>
if n > max_depth then when_tracing `mini_crush (trace "max depth reached" >> trace_state) >> failed
else all_goals $ try intros >> act n s >>= try_snapshots (search (n+1))
meta def try_and_save {α} (t : tactic α) : tactic (option (α × nat × snapshot)) :=
do {
s ← save,
a ← t,
new_s ← save,
n ← num_goals,
restore s,
return (a, n, new_s)
} <|> return none
meta def try_all_aux {α β : Type} (ts : α → tactic β) : list α → list (α × β × nat × snapshot) → tactic (list (α × β × nat × snapshot))
| [] [] := failed
| [] rs := return rs^.reverse
| (v::vs) rs := do
r ← try_and_save (ts v),
match r with
| some (b, 0, s) := return [(v, b, 0, s)]
| some (b, n, s) := try_all_aux vs ((v, b, n, s)::rs)
| none := try_all_aux vs rs
end
meta def try_all {α β : Type} (ts : α → tactic β) (vs : list α) : tactic (list (α × β × nat × snapshot)) :=
try_all_aux ts vs []
/- Destruct and simplify -/
meta def try_cases (s : simp_lemmas) (hs : hinst_lemmas) (cfg : simp_config) (s_name : name) : tactic (list (unit × snapshot)) :=
do es ← collect_inductive_from_target,
rs ← try_all (λ e, do
when_tracing `mini_crush (do p ← pp e, trace (to_fmt "Splitting on '" ++ p ++ to_fmt "'")),
cases e; simph_intros_using s cfg; try (close_aux hs)) es,
rs ← return $ flip list.qsort rs (λ ⟨e₁, _, n₁, _⟩ ⟨e₂, _, n₂, _⟩, if n₁ ≠ n₂ then n₁ < n₂ else size e₁ < size e₂),
return $ rs^.for (λ ⟨_, _, _, s⟩, ((), s))
meta def search_cases (max_depth : nat) (s : simp_lemmas) (hs : hinst_lemmas) (cfg : simp_config) (s_name : name) : tactic unit :=
search max_depth (λ d _, do
when_tracing `mini_crush (trace ("Depth #" ++ to_string d)),
try_cases s hs cfg s_name) 0 ()
/- Strategies -/
meta def mk_simp_lemmas (s : option simp_lemmas := none) : tactic simp_lemmas :=
match s with
| some s := return s
| none := simp_lemmas.mk_default >>= add_relevant_eqns
end
meta def mk_hinst_lemmas (s : option hinst_lemmas := none) : tactic hinst_lemmas :=
match s with
| some s := return s
| none := add_relevant_eqns_h hinst_lemmas.mk
end
meta def strategy_1 (cfg : simp_config := {}) (s : option simp_lemmas := none) (hs : option hinst_lemmas := none) (s_name : name := "strategy 1") : tactic unit :=
do s ← mk_simp_lemmas s,
hs ← mk_hinst_lemmas hs,
try_induction (λ h, simple s hs cfg s_name (some h))
meta def strategy_2_aux (cfg : simp_config) (hs : hinst_lemmas) : simp_lemmas → tactic unit
| s :=
do s ← simp_intro_aux cfg tt s tt [`_], -- Introduce next hypothesis
h ← list.ilast <$> local_context,
try $ solve1 (mwhen (is_inductive h) $ induction' h; simple s hs cfg "strategy 2" (some h)),
now <|> strategy_2_aux s
meta def strategy_2 (cfg : simp_config := {}) (s : option simp_lemmas := none) (hs : option hinst_lemmas := none) : tactic unit :=
do s ← mk_simp_lemmas s,
hs ← mk_hinst_lemmas hs,
strategy_2_aux cfg hs s
meta def strategy_3 (cfg : simp_config := {}) (max_depth : nat := 1) (s : option simp_lemmas := none) (hs : option hinst_lemmas := none) : tactic unit :=
do s ← mk_simp_lemmas s,
hs ← mk_hinst_lemmas hs,
try_induction (λ h, try (simph_intros_using s cfg); try (close_aux hs); (now <|> search_cases max_depth s hs cfg "strategy 3"))
end mini_crush
open tactic mini_crush
meta def mini_crush (cfg : simp_config := {}) (max_depth : nat := 1) :=
do s ← mk_simp_lemmas,
hs ← mk_hinst_lemmas,
strategy_1 cfg (some s) (some hs)
<|>
strategy_2 cfg (some s) (some hs)
<|>
strategy_3 cfg max_depth (some s) (some hs)
|
ddf7cee329bbbee44aaf165277f8a4d35e53255d | c777c32c8e484e195053731103c5e52af26a25d1 | /src/set_theory/game/basic.lean | c440ab66e49f43c3c09fb0ec16e15a35967f6f40 | [
"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 | 28,121 | lean | /-
Copyright (c) 2019 Mario Carneiro. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Reid Barton, Mario Carneiro, Isabel Longbottom, Scott Morrison, Apurva Nakade
-/
import set_theory.game.pgame
import tactic.abel
/-!
# Combinatorial games.
In this file we define the quotient of pre-games by the equivalence relation
`p ≈ q ↔ p ≤ q ∧ q ≤ p` (its `antisymmetrization`), and construct an instance `add_comm_group game`,
as well as an instance `partial_order game`.
## Multiplication on pre-games
We define the operations of multiplication and inverse on pre-games, and prove a few basic theorems
about them. Multiplication is not well-behaved under equivalence of pre-games i.e. `x ≈ y` does not
imply `x * z ≈ y * z`. Hence, multiplication is not a well-defined operation on games. Nevertheless,
the abelian group structure on games allows us to simplify many proofs for pre-games.
-/
open function pgame
open_locale pgame
universes u
instance pgame.setoid : setoid pgame :=
⟨(≈), equiv_refl, @pgame.equiv.symm, @pgame.equiv.trans⟩
/-- The type of combinatorial games. In ZFC, a combinatorial game is constructed from
two sets of combinatorial games that have been constructed at an earlier
stage. To do this in type theory, we say that a combinatorial pre-game is built
inductively from two families of combinatorial games indexed over any type
in Type u. The resulting type `pgame.{u}` lives in `Type (u+1)`,
reflecting that it is a proper class in ZFC.
A combinatorial game is then constructed by quotienting by the equivalence
`x ≈ y ↔ x ≤ y ∧ y ≤ x`. -/
abbreviation game := quotient pgame.setoid
namespace game
instance : add_comm_group_with_one game :=
{ zero := ⟦0⟧,
one := ⟦1⟧,
neg := quot.lift (λ x, ⟦-x⟧) (λ x y h, quot.sound ((@neg_equiv_neg_iff x y).2 h)),
add := quotient.lift₂ (λ x y : pgame, ⟦x + y⟧)
(λ x₁ y₁ x₂ y₂ hx hy, quot.sound (pgame.add_congr hx hy)),
add_zero := by { rintro ⟨x⟩, exact quot.sound (add_zero_equiv x) },
zero_add := by { rintro ⟨x⟩, exact quot.sound (zero_add_equiv x) },
add_assoc := by { rintros ⟨x⟩ ⟨y⟩ ⟨z⟩, exact quot.sound add_assoc_equiv },
add_left_neg := by { rintro ⟨x⟩, exact quot.sound (add_left_neg_equiv x) },
add_comm := by { rintros ⟨x⟩ ⟨y⟩, exact quot.sound add_comm_equiv } }
instance : inhabited game := ⟨0⟩
instance : partial_order game :=
{ le := quotient.lift₂ (≤) (λ x₁ y₁ x₂ y₂ hx hy, propext (le_congr hx hy)),
le_refl := by { rintro ⟨x⟩, exact le_refl x },
le_trans := by { rintro ⟨x⟩ ⟨y⟩ ⟨z⟩, exact @le_trans _ _ x y z },
le_antisymm := by { rintro ⟨x⟩ ⟨y⟩ h₁ h₂, apply quot.sound, exact ⟨h₁, h₂⟩ },
lt := quotient.lift₂ (<) (λ x₁ y₁ x₂ y₂ hx hy, propext (lt_congr hx hy)),
lt_iff_le_not_le := by { rintro ⟨x⟩ ⟨y⟩, exact @lt_iff_le_not_le _ _ x y }, }
/-- The less or fuzzy relation on games.
If `0 ⧏ x` (less or fuzzy with), then Left can win `x` as the first player. -/
def lf : game → game → Prop :=
quotient.lift₂ lf (λ x₁ y₁ x₂ y₂ hx hy, propext (lf_congr hx hy))
local infix ` ⧏ `:50 := lf
/-- On `game`, simp-normal inequalities should use as few negations as possible. -/
@[simp] theorem not_le : ∀ {x y : game}, ¬ x ≤ y ↔ y ⧏ x :=
by { rintro ⟨x⟩ ⟨y⟩, exact pgame.not_le }
/-- On `game`, simp-normal inequalities should use as few negations as possible. -/
@[simp] theorem not_lf : ∀ {x y : game}, ¬ x ⧏ y ↔ y ≤ x :=
by { rintro ⟨x⟩ ⟨y⟩, exact not_lf }
instance : is_trichotomous game (⧏) :=
⟨by { rintro ⟨x⟩ ⟨y⟩, change _ ∨ ⟦x⟧ = ⟦y⟧ ∨ _, rw quotient.eq, apply lf_or_equiv_or_gf }⟩
/-! It can be useful to use these lemmas to turn `pgame` inequalities into `game` inequalities, as
the `add_comm_group` structure on `game` often simplifies many proofs. -/
theorem _root_.pgame.le_iff_game_le {x y : pgame} : x ≤ y ↔ ⟦x⟧ ≤ ⟦y⟧ := iff.rfl
theorem _root_.pgame.lf_iff_game_lf {x y : pgame} : pgame.lf x y ↔ ⟦x⟧ ⧏ ⟦y⟧ := iff.rfl
theorem _root_.pgame.lt_iff_game_lt {x y : pgame} : x < y ↔ ⟦x⟧ < ⟦y⟧ := iff.rfl
theorem _root_.pgame.equiv_iff_game_eq {x y : pgame} : x ≈ y ↔ ⟦x⟧ = ⟦y⟧ :=
(@quotient.eq _ _ x y).symm
/-- The fuzzy, confused, or incomparable relation on games.
If `x ‖ 0`, then the first player can always win `x`. -/
def fuzzy : game → game → Prop :=
quotient.lift₂ fuzzy (λ x₁ y₁ x₂ y₂ hx hy, propext (fuzzy_congr hx hy))
local infix ` ‖ `:50 := fuzzy
theorem _root_.pgame.fuzzy_iff_game_fuzzy {x y : pgame} : pgame.fuzzy x y ↔ ⟦x⟧ ‖ ⟦y⟧ := iff.rfl
instance covariant_class_add_le : covariant_class game game (+) (≤) :=
⟨by { rintro ⟨a⟩ ⟨b⟩ ⟨c⟩ h, exact @add_le_add_left _ _ _ _ b c h a }⟩
instance covariant_class_swap_add_le : covariant_class game game (swap (+)) (≤) :=
⟨by { rintro ⟨a⟩ ⟨b⟩ ⟨c⟩ h, exact @add_le_add_right _ _ _ _ b c h a }⟩
instance covariant_class_add_lt : covariant_class game game (+) (<) :=
⟨by { rintro ⟨a⟩ ⟨b⟩ ⟨c⟩ h, exact @add_lt_add_left _ _ _ _ b c h a }⟩
instance covariant_class_swap_add_lt : covariant_class game game (swap (+)) (<) :=
⟨by { rintro ⟨a⟩ ⟨b⟩ ⟨c⟩ h, exact @add_lt_add_right _ _ _ _ b c h a }⟩
theorem add_lf_add_right : ∀ {b c : game} (h : b ⧏ c) (a), b + a ⧏ c + a :=
by { rintro ⟨b⟩ ⟨c⟩ h ⟨a⟩, apply add_lf_add_right h }
theorem add_lf_add_left : ∀ {b c : game} (h : b ⧏ c) (a), a + b ⧏ a + c :=
by { rintro ⟨b⟩ ⟨c⟩ h ⟨a⟩, apply add_lf_add_left h }
instance ordered_add_comm_group : ordered_add_comm_group game :=
{ add_le_add_left := @add_le_add_left _ _ _ game.covariant_class_add_le,
..game.add_comm_group_with_one,
..game.partial_order }
end game
namespace pgame
@[simp] lemma quot_neg (a : pgame) : ⟦-a⟧ = -⟦a⟧ := rfl
@[simp] lemma quot_add (a b : pgame) : ⟦a + b⟧ = ⟦a⟧ + ⟦b⟧ := rfl
@[simp] lemma quot_sub (a b : pgame) : ⟦a - b⟧ = ⟦a⟧ - ⟦b⟧ := rfl
theorem quot_eq_of_mk_quot_eq {x y : pgame}
(L : x.left_moves ≃ y.left_moves) (R : x.right_moves ≃ y.right_moves)
(hl : ∀ i, ⟦x.move_left i⟧ = ⟦y.move_left (L i)⟧)
(hr : ∀ j, ⟦x.move_right j⟧ = ⟦y.move_right (R j)⟧) : ⟦x⟧ = ⟦y⟧ :=
by { simp_rw [quotient.eq] at hl hr, exact quot.sound (equiv_of_mk_equiv L R hl hr) }
/-! Multiplicative operations can be defined at the level of pre-games,
but to prove their properties we need to use the abelian group structure of games.
Hence we define them here. -/
/-- The product of `x = {xL | xR}` and `y = {yL | yR}` is
`{xL*y + x*yL - xL*yL, xR*y + x*yR - xR*yR | xL*y + x*yR - xL*yR, x*yL + xR*y - xR*yL }`. -/
instance : has_mul pgame.{u} :=
⟨λ x y, begin
induction x with xl xr xL xR IHxl IHxr generalizing y,
induction y with yl yr yL yR IHyl IHyr,
have y := mk yl yr yL yR,
refine ⟨xl × yl ⊕ xr × yr, xl × yr ⊕ xr × yl, _, _⟩; rintro (⟨i, j⟩ | ⟨i, j⟩),
{ exact IHxl i y + IHyl j - IHxl i (yL j) },
{ exact IHxr i y + IHyr j - IHxr i (yR j) },
{ exact IHxl i y + IHyr j - IHxl i (yR j) },
{ exact IHxr i y + IHyl j - IHxr i (yL j) }
end⟩
theorem left_moves_mul : ∀ (x y : pgame.{u}), (x * y).left_moves
= (x.left_moves × y.left_moves ⊕ x.right_moves × y.right_moves)
| ⟨_, _, _, _⟩ ⟨_, _, _, _⟩ := rfl
theorem right_moves_mul : ∀ (x y : pgame.{u}), (x * y).right_moves
= (x.left_moves × y.right_moves ⊕ x.right_moves × y.left_moves)
| ⟨_, _, _, _⟩ ⟨_, _, _, _⟩ := rfl
/-- Turns two left or right moves for `x` and `y` into a left move for `x * y` and vice versa.
Even though these types are the same (not definitionally so), this is the preferred way to convert
between them. -/
def to_left_moves_mul {x y : pgame} :
x.left_moves × y.left_moves ⊕ x.right_moves × y.right_moves ≃ (x * y).left_moves :=
equiv.cast (left_moves_mul x y).symm
/-- Turns a left and a right move for `x` and `y` into a right move for `x * y` and vice versa.
Even though these types are the same (not definitionally so), this is the preferred way to convert
between them. -/
def to_right_moves_mul {x y : pgame} :
x.left_moves × y.right_moves ⊕ x.right_moves × y.left_moves ≃ (x * y).right_moves :=
equiv.cast (right_moves_mul x y).symm
@[simp] lemma mk_mul_move_left_inl {xl xr yl yr} {xL xR yL yR} {i j} :
(mk xl xr xL xR * mk yl yr yL yR).move_left (sum.inl (i, j)) =
xL i * mk yl yr yL yR + mk xl xr xL xR * yL j - xL i * yL j :=
rfl
@[simp] lemma mul_move_left_inl {x y : pgame} {i j} :
(x * y).move_left (to_left_moves_mul (sum.inl (i, j))) =
x.move_left i * y + x * y.move_left j - x.move_left i * y.move_left j :=
by { cases x, cases y, refl }
@[simp] lemma mk_mul_move_left_inr {xl xr yl yr} {xL xR yL yR} {i j} :
(mk xl xr xL xR * mk yl yr yL yR).move_left (sum.inr (i, j)) =
xR i * mk yl yr yL yR + mk xl xr xL xR * yR j - xR i * yR j :=
rfl
@[simp] lemma mul_move_left_inr {x y : pgame} {i j} :
(x * y).move_left (to_left_moves_mul (sum.inr (i, j))) =
x.move_right i * y + x * y.move_right j - x.move_right i * y.move_right j :=
by { cases x, cases y, refl }
@[simp] lemma mk_mul_move_right_inl {xl xr yl yr} {xL xR yL yR} {i j} :
(mk xl xr xL xR * mk yl yr yL yR).move_right (sum.inl (i, j)) =
xL i * mk yl yr yL yR + mk xl xr xL xR * yR j - xL i * yR j :=
rfl
@[simp] lemma mul_move_right_inl {x y : pgame} {i j} :
(x * y).move_right (to_right_moves_mul (sum.inl (i, j))) =
x.move_left i * y + x * y.move_right j - x.move_left i * y.move_right j :=
by { cases x, cases y, refl }
@[simp] lemma mk_mul_move_right_inr {xl xr yl yr} {xL xR yL yR} {i j} :
(mk xl xr xL xR * mk yl yr yL yR).move_right (sum.inr (i, j)) =
xR i * mk yl yr yL yR + mk xl xr xL xR * yL j - xR i * yL j :=
rfl
@[simp] lemma mul_move_right_inr {x y : pgame} {i j} :
(x * y).move_right (to_right_moves_mul (sum.inr (i, j))) =
x.move_right i * y + x * y.move_left j - x.move_right i * y.move_left j :=
by { cases x, cases y, refl }
@[simp] lemma neg_mk_mul_move_left_inl {xl xr yl yr} {xL xR yL yR} {i j} :
(-(mk xl xr xL xR * mk yl yr yL yR)).move_left (sum.inl (i, j)) =
-(xL i * mk yl yr yL yR + mk xl xr xL xR * yR j - xL i * yR j) :=
rfl
@[simp] lemma neg_mk_mul_move_left_inr {xl xr yl yr} {xL xR yL yR} {i j} :
(-(mk xl xr xL xR * mk yl yr yL yR)).move_left (sum.inr (i, j)) =
-(xR i * mk yl yr yL yR + mk xl xr xL xR * yL j - xR i * yL j) :=
rfl
@[simp] lemma neg_mk_mul_move_right_inl {xl xr yl yr} {xL xR yL yR} {i j} :
(-(mk xl xr xL xR * mk yl yr yL yR)).move_right (sum.inl (i, j)) =
-(xL i * mk yl yr yL yR + mk xl xr xL xR * yL j - xL i * yL j) :=
rfl
@[simp] lemma neg_mk_mul_move_right_inr {xl xr yl yr} {xL xR yL yR} {i j} :
(-(mk xl xr xL xR * mk yl yr yL yR)).move_right (sum.inr (i, j)) =
-(xR i * mk yl yr yL yR + mk xl xr xL xR * yR j - xR i * yR j) :=
rfl
lemma left_moves_mul_cases {x y : pgame} (k) {P : (x * y).left_moves → Prop}
(hl : ∀ ix iy, P $ to_left_moves_mul (sum.inl ⟨ix, iy⟩))
(hr : ∀ jx jy, P $ to_left_moves_mul (sum.inr ⟨jx, jy⟩)) : P k :=
begin
rw ←to_left_moves_mul.apply_symm_apply k,
rcases to_left_moves_mul.symm k with ⟨ix, iy⟩ | ⟨jx, jy⟩,
{ apply hl },
{ apply hr }
end
lemma right_moves_mul_cases {x y : pgame} (k) {P : (x * y).right_moves → Prop}
(hl : ∀ ix jy, P $ to_right_moves_mul (sum.inl ⟨ix, jy⟩))
(hr : ∀ jx iy, P $ to_right_moves_mul (sum.inr ⟨jx, iy⟩)) : P k :=
begin
rw ←to_right_moves_mul.apply_symm_apply k,
rcases to_right_moves_mul.symm k with ⟨ix, iy⟩ | ⟨jx, jy⟩,
{ apply hl },
{ apply hr }
end
/-- `x * y` and `y * x` have the same moves. -/
def mul_comm_relabelling : Π (x y : pgame.{u}), x * y ≡r y * x
| ⟨xl, xr, xL, xR⟩ ⟨yl, yr, yL, yR⟩ := begin
refine ⟨equiv.sum_congr (equiv.prod_comm _ _) (equiv.prod_comm _ _),
(equiv.sum_comm _ _).trans (equiv.sum_congr (equiv.prod_comm _ _) (equiv.prod_comm _ _)), _, _⟩;
rintro (⟨i, j⟩ | ⟨i, j⟩);
dsimp;
exact ((add_comm_relabelling _ _).trans $ (mul_comm_relabelling _ _).add_congr
(mul_comm_relabelling _ _)).sub_congr (mul_comm_relabelling _ _)
end
using_well_founded { dec_tac := pgame_wf_tac }
theorem quot_mul_comm (x y : pgame.{u}) : ⟦x * y⟧ = ⟦y * x⟧ :=
quot.sound (mul_comm_relabelling x y).equiv
/-- `x * y` is equivalent to `y * x`. -/
theorem mul_comm_equiv (x y : pgame) : x * y ≈ y * x :=
quotient.exact $ quot_mul_comm _ _
instance is_empty_mul_zero_left_moves (x : pgame.{u}) : is_empty (x * 0).left_moves :=
by { cases x, apply sum.is_empty }
instance is_empty_mul_zero_right_moves (x : pgame.{u}) : is_empty (x * 0).right_moves :=
by { cases x, apply sum.is_empty }
instance is_empty_zero_mul_left_moves (x : pgame.{u}) : is_empty (0 * x).left_moves :=
by { cases x, apply sum.is_empty }
instance is_empty_zero_mul_right_moves (x : pgame.{u}) : is_empty (0 * x).right_moves :=
by { cases x, apply sum.is_empty }
/-- `x * 0` has exactly the same moves as `0`. -/
def mul_zero_relabelling (x : pgame) : x * 0 ≡r 0 := relabelling.is_empty _
/-- `x * 0` is equivalent to `0`. -/
theorem mul_zero_equiv (x : pgame) : x * 0 ≈ 0 := (mul_zero_relabelling x).equiv
@[simp] theorem quot_mul_zero (x : pgame) : ⟦x * 0⟧ = ⟦0⟧ :=
@quotient.sound _ _ (x * 0) _ x.mul_zero_equiv
/-- `0 * x` has exactly the same moves as `0`. -/
def zero_mul_relabelling (x : pgame) : 0 * x ≡r 0 := relabelling.is_empty _
/-- `0 * x` is equivalent to `0`. -/
theorem zero_mul_equiv (x : pgame) : 0 * x ≈ 0 := (zero_mul_relabelling x).equiv
@[simp] theorem quot_zero_mul (x : pgame) : ⟦0 * x⟧ = ⟦0⟧ :=
@quotient.sound _ _ (0 * x) _ x.zero_mul_equiv
/-- `-x * y` and `-(x * y)` have the same moves. -/
def neg_mul_relabelling : Π (x y : pgame.{u}), -x * y ≡r -(x * y)
| ⟨xl, xr, xL, xR⟩ ⟨yl, yr, yL, yR⟩ := begin
refine ⟨equiv.sum_comm _ _, equiv.sum_comm _ _, _, _⟩;
rintro (⟨i, j⟩ | ⟨i, j⟩);
dsimp;
apply ((neg_add_relabelling _ _).trans _).symm;
apply ((neg_add_relabelling _ _).trans (relabelling.add_congr _ _)).sub_congr;
exact (neg_mul_relabelling _ _).symm
end
using_well_founded { dec_tac := pgame_wf_tac }
@[simp] theorem quot_neg_mul (x y : pgame) : ⟦-x * y⟧ = -⟦x * y⟧ :=
quot.sound (neg_mul_relabelling x y).equiv
/-- `x * -y` and `-(x * y)` have the same moves. -/
def mul_neg_relabelling (x y : pgame) : x * -y ≡r -(x * y) :=
(mul_comm_relabelling x _).trans $
(neg_mul_relabelling _ x).trans (mul_comm_relabelling y x).neg_congr
@[simp] theorem quot_mul_neg (x y : pgame) : ⟦x * -y⟧ = -⟦x * y⟧ :=
quot.sound (mul_neg_relabelling x y).equiv
@[simp] theorem quot_left_distrib : Π (x y z : pgame), ⟦x * (y + z)⟧ = ⟦x * y⟧ + ⟦x * z⟧
| (mk xl xr xL xR) (mk yl yr yL yR) (mk zl zr zL zR) :=
begin
let x := mk xl xr xL xR,
let y := mk yl yr yL yR,
let z := mk zl zr zL zR,
refine quot_eq_of_mk_quot_eq _ _ _ _,
{ fsplit,
{ rintro (⟨_, _ | _⟩ | ⟨_, _ | _⟩);
solve_by_elim [sum.inl, sum.inr, prod.mk] { max_depth := 5 } },
{ rintro (⟨⟨_, _⟩ | ⟨_, _⟩⟩ | ⟨_, _⟩ | ⟨_, _⟩);
solve_by_elim [sum.inl, sum.inr, prod.mk] { max_depth := 5 } },
{ rintro (⟨_, _ | _⟩ | ⟨_, _ | _⟩); refl },
{ rintro (⟨⟨_, _⟩ | ⟨_, _⟩⟩ | ⟨_, _⟩ | ⟨_, _⟩); refl } },
{ fsplit,
{ rintro (⟨_, _ | _⟩ | ⟨_, _ | _⟩);
solve_by_elim [sum.inl, sum.inr, prod.mk] { max_depth := 5 } },
{ rintro (⟨⟨_, _⟩ | ⟨_, _⟩⟩ | ⟨_, _⟩ | ⟨_, _⟩);
solve_by_elim [sum.inl, sum.inr, prod.mk] { max_depth := 5 } },
{ rintro (⟨_, _ | _⟩ | ⟨_, _ | _⟩); refl },
{ rintro (⟨⟨_, _⟩ | ⟨_, _⟩⟩ | ⟨_, _⟩ | ⟨_, _⟩); refl } },
{ rintro (⟨i, j | k⟩ | ⟨i, j | k⟩),
{ change ⟦xL i * (y + z) + x * (yL j + z) - xL i * (yL j + z)⟧
= ⟦xL i * y + x * yL j - xL i * yL j + x * z⟧,
simp [quot_left_distrib], abel },
{ change ⟦xL i * (y + z) + x * (y + zL k) - xL i * (y + zL k)⟧
= ⟦x * y + (xL i * z + x * zL k - xL i * zL k)⟧,
simp [quot_left_distrib], abel },
{ change ⟦xR i * (y + z) + x * (yR j + z) - xR i * (yR j + z)⟧
= ⟦xR i * y + x * yR j - xR i * yR j + x * z⟧,
simp [quot_left_distrib], abel },
{ change ⟦xR i * (y + z) + x * (y + zR k) - xR i * (y + zR k)⟧
= ⟦x * y + (xR i * z + x * zR k - xR i * zR k)⟧,
simp [quot_left_distrib], abel } },
{ rintro (⟨i, j | k⟩ | ⟨i, j | k⟩),
{ change ⟦xL i * (y + z) + x * (yR j + z) - xL i * (yR j + z)⟧
= ⟦xL i * y + x * yR j - xL i * yR j + x * z⟧,
simp [quot_left_distrib], abel },
{ change ⟦xL i * (y + z) + x * (y + zR k) - xL i * (y + zR k)⟧
= ⟦x * y + (xL i * z + x * zR k - xL i * zR k)⟧,
simp [quot_left_distrib], abel },
{ change ⟦xR i * (y + z) + x * (yL j + z) - xR i * (yL j + z)⟧
= ⟦xR i * y + x * yL j - xR i * yL j + x * z⟧,
simp [quot_left_distrib], abel },
{ change ⟦xR i * (y + z) + x * (y + zL k) - xR i * (y + zL k)⟧
= ⟦x * y + (xR i * z + x * zL k - xR i * zL k)⟧,
simp [quot_left_distrib], abel } }
end
using_well_founded { dec_tac := pgame_wf_tac }
/-- `x * (y + z)` is equivalent to `x * y + x * z.`-/
theorem left_distrib_equiv (x y z : pgame) : x * (y + z) ≈ x * y + x * z :=
quotient.exact $ quot_left_distrib _ _ _
@[simp] theorem quot_left_distrib_sub (x y z : pgame) : ⟦x * (y - z)⟧ = ⟦x * y⟧ - ⟦x * z⟧ :=
by { change ⟦x * (y + -z)⟧ = ⟦x * y⟧ + -⟦x * z⟧, rw [quot_left_distrib, quot_mul_neg] }
@[simp] theorem quot_right_distrib (x y z : pgame) : ⟦(x + y) * z⟧ = ⟦x * z⟧ + ⟦y * z⟧ :=
by simp only [quot_mul_comm, quot_left_distrib]
/-- `(x + y) * z` is equivalent to `x * z + y * z.`-/
theorem right_distrib_equiv (x y z : pgame) : (x + y) * z ≈ x * z + y * z :=
quotient.exact $ quot_right_distrib _ _ _
@[simp] theorem quot_right_distrib_sub (x y z : pgame) : ⟦(y - z) * x⟧ = ⟦y * x⟧ - ⟦z * x⟧ :=
by { change ⟦(y + -z) * x⟧ = ⟦y * x⟧ + -⟦z * x⟧, rw [quot_right_distrib, quot_neg_mul] }
/-- `x * 1` has the same moves as `x`. -/
def mul_one_relabelling : Π (x : pgame.{u}), x * 1 ≡r x
| ⟨xl, xr, xL, xR⟩ := begin
unfold has_one.one,
refine ⟨(equiv.sum_empty _ _).trans (equiv.prod_punit _),
(equiv.empty_sum _ _).trans (equiv.prod_punit _), _, _⟩;
try { rintro (⟨i, ⟨ ⟩⟩ | ⟨i, ⟨ ⟩⟩) }; try { intro i };
dsimp;
apply (relabelling.sub_congr (relabelling.refl _) (mul_zero_relabelling _)).trans;
rw sub_zero;
exact (add_zero_relabelling _).trans (((mul_one_relabelling _).add_congr
(mul_zero_relabelling _)).trans $ add_zero_relabelling _)
end
@[simp] theorem quot_mul_one (x : pgame) : ⟦x * 1⟧ = ⟦x⟧ := quot.sound $ mul_one_relabelling x
/-- `x * 1` is equivalent to `x`. -/
theorem mul_one_equiv (x : pgame) : x * 1 ≈ x := quotient.exact $ quot_mul_one x
/-- `1 * x` has the same moves as `x`. -/
def one_mul_relabelling (x : pgame) : 1 * x ≡r x :=
(mul_comm_relabelling 1 x).trans $ mul_one_relabelling x
@[simp] theorem quot_one_mul (x : pgame) : ⟦1 * x⟧ = ⟦x⟧ := quot.sound $ one_mul_relabelling x
/-- `1 * x` is equivalent to `x`. -/
theorem one_mul_equiv (x : pgame) : 1 * x ≈ x := quotient.exact $ quot_one_mul x
theorem quot_mul_assoc : Π (x y z : pgame), ⟦x * y * z⟧ = ⟦x * (y * z)⟧
| (mk xl xr xL xR) (mk yl yr yL yR) (mk zl zr zL zR) :=
begin
let x := mk xl xr xL xR,
let y := mk yl yr yL yR,
let z := mk zl zr zL zR,
refine quot_eq_of_mk_quot_eq _ _ _ _,
{ fsplit,
{ rintro (⟨⟨_, _⟩ | ⟨_, _⟩, _⟩ | ⟨⟨_, _⟩ | ⟨_, _⟩, _⟩);
solve_by_elim [sum.inl, sum.inr, prod.mk] { max_depth := 7 } },
{ rintro (⟨_, ⟨_, _⟩ | ⟨_, _⟩⟩ | ⟨_,⟨_, _⟩ | ⟨_, _⟩⟩);
solve_by_elim [sum.inl, sum.inr, prod.mk] { max_depth := 7 } },
{ rintro (⟨⟨_, _⟩ | ⟨_, _⟩, _⟩ | ⟨⟨_,_⟩ | ⟨_, _⟩,_⟩); refl },
{ rintro (⟨_, ⟨_, _⟩ | ⟨_, _⟩⟩ | ⟨_,⟨_, _⟩ | ⟨_, _⟩⟩); refl } },
{ fsplit,
{ rintro (⟨⟨_, _⟩ | ⟨_, _⟩, _⟩ | ⟨⟨_, _⟩ | ⟨_, _⟩,_⟩);
solve_by_elim [sum.inl, sum.inr, prod.mk] { max_depth := 7 } },
{ rintro (⟨_, ⟨_, _⟩ | ⟨_, _⟩⟩ | ⟨_, ⟨_, _⟩ | ⟨_, _⟩⟩);
solve_by_elim [sum.inl, sum.inr, prod.mk] { max_depth := 7 } },
{ rintro (⟨⟨_, _⟩ | ⟨_, _⟩, _⟩ | ⟨⟨_, _⟩ | ⟨_, _⟩,_⟩); refl },
{ rintro (⟨_, ⟨_, _⟩ | ⟨_, _⟩⟩ | ⟨_, ⟨_, _⟩ | ⟨_, _⟩⟩); refl } },
{ rintro (⟨⟨i, j⟩ | ⟨i, j⟩, k⟩ | ⟨⟨i, j⟩ | ⟨i, j⟩, k⟩),
{ change ⟦(xL i * y + x * yL j - xL i * yL j) * z + (x * y) * zL k
- (xL i * y + x * yL j - xL i * yL j) * zL k⟧
= ⟦xL i * (y * z) + x * (yL j * z + y * zL k - yL j * zL k)
- xL i * (yL j * z + y * zL k - yL j * zL k)⟧,
simp [quot_mul_assoc], abel },
{ change ⟦(xR i * y + x * yR j - xR i * yR j) * z + (x * y) * zL k
- (xR i * y + x * yR j - xR i * yR j) * zL k⟧
= ⟦xR i * (y * z) + x * (yR j * z + y * zL k - yR j * zL k)
- xR i * (yR j * z + y * zL k - yR j * zL k)⟧,
simp [quot_mul_assoc], abel },
{ change ⟦(xL i * y + x * yR j - xL i * yR j) * z + (x * y) * zR k
- (xL i * y + x * yR j - xL i * yR j) * zR k⟧
= ⟦xL i * (y * z) + x * (yR j * z + y * zR k - yR j * zR k)
- xL i * (yR j * z + y * zR k - yR j * zR k)⟧,
simp [quot_mul_assoc], abel },
{ change ⟦(xR i * y + x * yL j - xR i * yL j) * z + (x * y) * zR k
- (xR i * y + x * yL j - xR i * yL j) * zR k⟧
= ⟦xR i * (y * z) + x * (yL j * z + y * zR k - yL j * zR k)
- xR i * (yL j * z + y * zR k - yL j * zR k)⟧,
simp [quot_mul_assoc], abel } },
{ rintro (⟨⟨i, j⟩ | ⟨i, j⟩, k⟩ | ⟨⟨i, j⟩ | ⟨i, j⟩, k⟩),
{ change ⟦(xL i * y + x * yL j - xL i * yL j) * z + (x * y) * zR k
- (xL i * y + x * yL j - xL i * yL j) * zR k⟧
= ⟦xL i * (y * z) + x * (yL j * z + y * zR k - yL j * zR k)
- xL i * (yL j * z + y * zR k - yL j * zR k)⟧,
simp [quot_mul_assoc], abel },
{ change ⟦(xR i * y + x * yR j - xR i * yR j) * z + (x * y) * zR k
- (xR i * y + x * yR j - xR i * yR j) * zR k⟧
= ⟦xR i * (y * z) + x * (yR j * z + y * zR k - yR j * zR k)
- xR i * (yR j * z + y * zR k - yR j * zR k)⟧,
simp [quot_mul_assoc], abel },
{ change ⟦(xL i * y + x * yR j - xL i * yR j) * z + (x * y) * zL k
- (xL i * y + x * yR j - xL i * yR j) * zL k⟧
= ⟦xL i * (y * z) + x * (yR j * z + y * zL k - yR j * zL k)
- xL i * (yR j * z + y * zL k - yR j * zL k)⟧,
simp [quot_mul_assoc], abel },
{ change ⟦(xR i * y + x * yL j - xR i * yL j) * z + (x * y) * zL k
- (xR i * y + x * yL j - xR i * yL j) * zL k⟧
= ⟦xR i * (y * z) + x * (yL j * z + y * zL k - yL j * zL k)
- xR i * (yL j * z + y * zL k - yL j * zL k)⟧,
simp [quot_mul_assoc], abel } }
end
using_well_founded { dec_tac := pgame_wf_tac }
/-- `x * y * z` is equivalent to `x * (y * z).`-/
theorem mul_assoc_equiv (x y z : pgame) : x * y * z ≈ x * (y * z) :=
quotient.exact $ quot_mul_assoc _ _ _
/-- Because the two halves of the definition of `inv` produce more elements
on each side, we have to define the two families inductively.
This is the indexing set for the function, and `inv_val` is the function part. -/
inductive inv_ty (l r : Type u) : bool → Type u
| zero : inv_ty ff
| left₁ : r → inv_ty ff → inv_ty ff
| left₂ : l → inv_ty tt → inv_ty ff
| right₁ : l → inv_ty ff → inv_ty tt
| right₂ : r → inv_ty tt → inv_ty tt
instance (l r : Type u) [is_empty l] [is_empty r] : is_empty (inv_ty l r tt) :=
⟨by rintro (_|_|_|a|a); exact is_empty_elim a⟩
instance (l r : Type u) : inhabited (inv_ty l r ff) := ⟨inv_ty.zero⟩
instance unique_inv_ty (l r : Type u) [is_empty l] [is_empty r] : unique (inv_ty l r ff) :=
{ uniq := by { rintro (a|a|a), refl, all_goals { exact is_empty_elim a } },
..inv_ty.inhabited l r }
/-- Because the two halves of the definition of `inv` produce more elements
of each side, we have to define the two families inductively.
This is the function part, defined by recursion on `inv_ty`. -/
def inv_val {l r} (L : l → pgame) (R : r → pgame)
(IHl : l → pgame) (IHr : r → pgame) : ∀ {b}, inv_ty l r b → pgame
| _ inv_ty.zero := 0
| _ (inv_ty.left₁ i j) := (1 + (R i - mk l r L R) * inv_val j) * IHr i
| _ (inv_ty.left₂ i j) := (1 + (L i - mk l r L R) * inv_val j) * IHl i
| _ (inv_ty.right₁ i j) := (1 + (L i - mk l r L R) * inv_val j) * IHl i
| _ (inv_ty.right₂ i j) := (1 + (R i - mk l r L R) * inv_val j) * IHr i
@[simp] theorem inv_val_is_empty {l r : Type u} {b} (L R IHl IHr) (i : inv_ty l r b)
[is_empty l] [is_empty r] : inv_val L R IHl IHr i = 0 :=
begin
cases i with a _ a _ a _ a,
{ refl },
all_goals { exact is_empty_elim a }
end
/-- The inverse of a positive surreal number `x = {L | R}` is
given by `x⁻¹ = {0,
(1 + (R - x) * x⁻¹L) * R, (1 + (L - x) * x⁻¹R) * L |
(1 + (L - x) * x⁻¹L) * L, (1 + (R - x) * x⁻¹R) * R}`.
Because the two halves `x⁻¹L, x⁻¹R` of `x⁻¹` are used in their own
definition, the sets and elements are inductively generated. -/
def inv' : pgame → pgame
| ⟨l, r, L, R⟩ :=
let l' := {i // 0 < L i},
L' : l' → pgame := λ i, L i.1,
IHl' : l' → pgame := λ i, inv' (L i.1),
IHr := λ i, inv' (R i) in
⟨inv_ty l' r ff, inv_ty l' r tt,
inv_val L' R IHl' IHr, inv_val L' R IHl' IHr⟩
theorem zero_lf_inv' : ∀ (x : pgame), 0 ⧏ inv' x
| ⟨xl, xr, xL, xR⟩ := by { convert lf_mk _ _ inv_ty.zero, refl }
/-- `inv' 0` has exactly the same moves as `1`. -/
def inv'_zero : inv' 0 ≡r 1 :=
begin
change mk _ _ _ _ ≡r 1,
refine ⟨_, _, λ i, _, is_empty.elim _⟩,
{ apply equiv.equiv_punit (inv_ty _ _ _),
apply_instance },
{ apply equiv.equiv_pempty (inv_ty _ _ _),
apply_instance },
{ simp },
{ dsimp,
apply_instance }
end
theorem inv'_zero_equiv : inv' 0 ≈ 1 := inv'_zero.equiv
/-- `inv' 1` has exactly the same moves as `1`. -/
def inv'_one : inv' 1 ≡r (1 : pgame.{u}) :=
begin
change relabelling (mk _ _ _ _) 1,
haveI : is_empty {i : punit.{u+1} // (0 : pgame.{u}) < 0},
{ rw lt_self_iff_false, apply_instance },
refine ⟨_, _, λ i, _, is_empty.elim _⟩; dsimp,
{ apply equiv.equiv_punit },
{ apply equiv.equiv_of_is_empty },
{ simp },
{ apply_instance }
end
theorem inv'_one_equiv : inv' 1 ≈ 1 := inv'_one.equiv
/-- The inverse of a pre-game in terms of the inverse on positive pre-games. -/
noncomputable instance : has_inv pgame :=
⟨by { classical, exact λ x, if x ≈ 0 then 0 else if 0 < x then inv' x else -inv' (-x) }⟩
noncomputable instance : has_div pgame := ⟨λ x y, x * y⁻¹⟩
theorem inv_eq_of_equiv_zero {x : pgame} (h : x ≈ 0) : x⁻¹ = 0 :=
by { classical, exact if_pos h }
@[simp] theorem inv_zero : (0 : pgame)⁻¹ = 0 :=
inv_eq_of_equiv_zero (equiv_refl _)
theorem inv_eq_of_pos {x : pgame} (h : 0 < x) : x⁻¹ = inv' x :=
by { classical, exact (if_neg h.lf.not_equiv').trans (if_pos h) }
theorem inv_eq_of_lf_zero {x : pgame} (h : x ⧏ 0) : x⁻¹ = -inv' (-x) :=
by { classical, exact (if_neg h.not_equiv).trans (if_neg h.not_gt) }
/-- `1⁻¹` has exactly the same moves as `1`. -/
def inv_one : 1⁻¹ ≡r 1 :=
by { rw inv_eq_of_pos pgame.zero_lt_one, exact inv'_one }
theorem inv_one_equiv : 1⁻¹ ≈ 1 := inv_one.equiv
end pgame
|
fab7261207b5a973405b9be89940289574d6f064 | 4727251e0cd73359b15b664c3170e5d754078599 | /src/category_theory/limits/constructions/over/connected.lean | 8852f4b275d68914dbd7cafb24c14cd15432f358 | [
"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 | 2,903 | 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.creates
import category_theory.over
import category_theory.is_connected
/-!
# Connected limits in the over category
Shows that the forgetful functor `over B ⥤ C` creates connected limits, in particular `over B` has
any connected limit which `C` has.
-/
universes v u -- morphism levels before object levels. See note [category_theory universes].
noncomputable theory
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
namespace creates_connected
/--
(Impl) Given a diagram in the over category, produce a natural transformation from the
diagram legs to the specific object.
-/
def nat_trans_in_over {B : C} (F : J ⥤ over B) :
F ⋙ forget B ⟶ (category_theory.functor.const J).obj B :=
{ app := λ j, (F.obj j).hom }
local attribute [tidy] tactic.case_bash
/--
(Impl) Given a cone in the base category, raise it to a cone in the over category. Note this is
where the connected assumption is used.
-/
@[simps]
def raise_cone [is_connected J] {B : C} {F : J ⥤ over B} (c : cone (F ⋙ forget B)) :
cone F :=
{ X := over.mk (c.π.app (classical.arbitrary J) ≫ (F.obj (classical.arbitrary J)).hom),
π :=
{ app := λ j,
over.hom_mk (c.π.app j) (nat_trans_from_is_connected (c.π ≫ nat_trans_in_over F) j _) } }
lemma raised_cone_lowers_to_original [is_connected J] {B : C} {F : J ⥤ over B}
(c : cone (F ⋙ forget B)) (t : is_limit c) :
(forget B).map_cone (raise_cone c) = c :=
by tidy
/-- (Impl) Show that the raised cone is a limit. -/
def raised_cone_is_limit [is_connected J] {B : C} {F : J ⥤ over B}
{c : cone (F ⋙ forget B)} (t : is_limit c) :
is_limit (raise_cone c) :=
{ lift := λ s, over.hom_mk (t.lift ((forget B).map_cone s)) (by { dsimp, simp }),
uniq' := λ s m K, by { ext1, apply t.hom_ext, intro j, simp [← K j] } }
end creates_connected
/-- The forgetful functor from the over category creates any connected limit. -/
instance forget_creates_connected_limits
[is_connected J] {B : C} : creates_limits_of_shape J (forget B) :=
{ creates_limit := λ K,
creates_limit_of_reflects_iso (λ c t,
{ lifted_cone := creates_connected.raise_cone c,
valid_lift := eq_to_iso (creates_connected.raised_cone_lowers_to_original c t),
makes_limit := creates_connected.raised_cone_is_limit t } ) }
/-- The over category has any connected limit which the original category has. -/
instance has_connected_limits
{B : C} [is_connected J] [has_limits_of_shape J C] : has_limits_of_shape J (over B) :=
{ has_limit := λ F, has_limit_of_created F (forget B) }
end category_theory.over
|
545aea08d69de1c801083c081ff9f8407a67e6fb | aa2345b30d710f7e75f13157a35845ee6d48c017 | /linear_algebra/lc.lean | 64c137ce9838f64339423969fdd4c32477c8830e | [
"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 | 9,683 | 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 module `lc α β` of linear combinations over `β` (`α` is the scalar ring)
-/
import linear_algebra.basic
noncomputable theory
open classical function lattice
local attribute [instance] prop_decidable
variables {α : Type*} {β : Type*} {γ : Type*} {δ : Type*}
/-- The type of linear coefficients, which are simply the finitely supported functions
from the module `β` to the scalar ring `α`. -/
@[reducible] def lc (α β) [ring α] [add_comm_group β] [module α β] : Type* := β →₀ α
namespace lc
variables {R:ring α} [add_comm_group β] [add_comm_group γ] [add_comm_group δ]
variables [module α β] [module α γ] [module α δ]
include R
open submodule linear_map
instance : add_comm_group (lc α β) := finsupp.add_comm_group
instance : has_scalar α (lc α β) := finsupp.to_has_scalar
instance : module α (lc α β) := finsupp.to_module β α
def supported (s : set β) : submodule α (lc α β) :=
{ carrier := {l | ↑l.support ⊆ s},
zero := by simp,
add := λ l₁ l₂ h₁ h₂, set.subset.trans (finset.coe_subset.2 finsupp.support_add)
(by simpa using set.union_subset h₁ h₂),
smul := λ a l h, set.subset.trans (finset.coe_subset.2 finsupp.support_smul)
(by simpa using h) }
theorem mem_supported {s : set β} {l : lc α β} :
l ∈ supported s ↔ ↑l.support ⊆ s := iff.rfl
theorem mem_supported' {s : set β} {l : lc α β} :
l ∈ supported s ↔ ∀ x ∉ s, l x = 0 :=
by simp [mem_supported, set.subset_def, not_imp_comm]
theorem single_mem_supported {s : set β} (a : α) {b : β} (h : b ∈ s) :
finsupp.single b a ∈ supported s :=
set.subset.trans finsupp.support_single_subset (set.singleton_subset_iff.2 h)
theorem supported_eq_span_single (s : set β) :
lc.supported s = span ((λ x, finsupp.single x (1:α)) '' s) :=
begin
refine (span_eq_of_le _ _ (le_def'.2 $ λ l hl, _)).symm,
{ rintro _ ⟨l, hl, rfl⟩, exact single_mem_supported _ hl },
{ rw ← l.sum_single,
refine sum_mem _ (λ x xl, _),
rw (by simp : finsupp.single x (l x) = l x • finsupp.single x 1),
exact smul_mem _ _ (subset_span ⟨_, hl xl, rfl⟩) }
end
def restrict_dom (s : set β) : lc α β →ₗ supported s :=
linear_map.cod_restrict _
{ to_fun := finsupp.filter (∈ s),
add := λ l₁ l₂, finsupp.filter_add,
smul := λ a l, finsupp.filter_smul }
(λ l, mem_supported'.2 $ λ x, finsupp.filter_apply_neg (∈ s) l)
@[simp] theorem restrict_dom_apply (s : set β) (l : lc α β) :
↑((restrict_dom s : lc α β →ₗ supported s) l) = finsupp.filter (∈ s) l := rfl
theorem restrict_dom_comp_subtype (s : set β) :
(restrict_dom s).comp (submodule.subtype _) = linear_map.id :=
by ext l; apply subtype.coe_ext.2; simp; ext a;
by_cases a ∈ s; simp [h]; exact (mem_supported'.1 l.2 _ h).symm
theorem range_restrict_dom (s : set β) : (restrict_dom s).range = ⊤ :=
begin
have := linear_map.range_comp (submodule.subtype _) (restrict_dom s),
rw [restrict_dom_comp_subtype, linear_map.range_id] at this,
exact eq_top_mono (submodule.map_mono le_top) this.symm
end
theorem supported_mono {s t : set β} (st : s ⊆ t) :
supported s ≤ supported t :=
λ l h, set.subset.trans h st
@[simp] theorem supported_empty : supported (∅ : set β) = ⊥ :=
eq_bot_iff.2 $ λ l h, submodule.mem_bot.2 $
by ext; simp [*, mem_supported'] at *
@[simp] theorem supported_univ : supported (set.univ : set β) = ⊤ :=
eq_top_iff.2 $ λ l _, set.subset_univ _
theorem supported_Union {ι : Type*} (s : ι → set β) :
supported (⋃ i, s i) = ⨆ i, supported (s i) :=
begin
refine le_antisymm _ (supr_le $ λ i, supported_mono $ set.subset_Union _ _),
suffices : ((submodule.subtype _).comp (restrict_dom (⋃ i, s i))).range ≤ ⨆ i, supported (s i),
{ rwa [range_comp, range_restrict_dom, map_top, range_subtype] at this },
rw [range_le_iff_comap, eq_top_iff],
rintro l ⟨⟩, rw mem_coe,
apply finsupp.induction l, {exact zero_mem _},
refine λ x a l hl a0, add_mem _ _,
by_cases (∃ i, x ∈ s i); simp [h],
cases h with i hi,
exact le_supr (λ i, supported (s i)) i (single_mem_supported _ hi)
end
theorem supported_union (s t : set β) :
supported (s ∪ t) = supported s ⊔ supported t :=
by rw [set.union_eq_Union, supported_Union, supr_bool_eq]; refl
theorem supported_Inter {ι : Type*} (s : ι → set β) :
supported (⋂ i, s i) = ⨅ i, supported (s i) :=
begin
refine le_antisymm (le_infi $ λ i, supported_mono $ set.Inter_subset _ _) _,
simp [le_def, infi_coe, set.subset_def],
exact λ l, set.subset_Inter
end
def apply (x : β) : lc α β →ₗ α :=
⟨λ l, l x, λ _ _, finsupp.add_apply, λ _ _, finsupp.smul_apply⟩
@[simp] theorem apply_apply (x : β) (l : lc α β) :
(lc.apply x : lc α β →ₗ α) l = l x := rfl
protected def lsum (f : β → α →ₗ γ) : lc α β →ₗ γ :=
⟨λ d, d.sum (λ b, f b),
assume d₁ d₂, by simp [finsupp.sum_add_index],
assume a d, by simp [finsupp.sum_smul_index, finsupp.smul_sum,
-smul_eq_mul, smul_eq_mul.symm]⟩
@[simp] theorem lsum_apply (f : β → α →ₗ γ) (l : lc α β) :
(lc.lsum f : lc α β →ₗ γ) l = l.sum (λ b, f b) := rfl
section
variable (β)
protected def total : lc α β →ₗ β := lc.lsum linear_map.id.smul_right
end
theorem total_apply (l : lc α β) :
lc.total β l = l.sum (λ b a, a • b) := rfl
@[simp] theorem total_single (a : α) (x : β) :
lc.total β (finsupp.single x a) = a • x :=
by simp [total_apply, finsupp.sum_single_index]
@[simp] theorem total_range : (lc.total β).range = ⊤ :=
range_eq_top.2 $ λ x, ⟨finsupp.single x 1, by simp⟩
protected def map (f : β → γ) : lc α β →ₗ lc α γ :=
{ to_fun := finsupp.map_domain f,
add := λ l₁ l₂, finsupp.map_domain_add,
smul := λ a l, finsupp.map_domain_smul _ _ }
@[simp] theorem map_apply (f : β → γ) (l : lc α β) :
(lc.map f : lc α β →ₗ lc α γ) l = finsupp.map_domain f l := rfl
@[simp] theorem map_id : (lc.map id : lc α β →ₗ lc α β) = linear_map.id :=
linear_map.ext $ λ l, finsupp.map_domain_id
theorem map_comp (f : β → γ) (g : γ → δ) :
lc.map (g ∘ f) = (lc.map g).comp (lc.map f) :=
linear_map.ext $ λ l, finsupp.map_domain_comp
theorem supported_comap_map (f : β → γ) (s : set γ) :
supported (f ⁻¹' s) ≤ (supported s).comap (lc.map f) :=
λ l (hl : ↑l.support ⊆ f ⁻¹' s),
show ↑(finsupp.map_domain f l).support ⊆ s, begin
rw [← set.image_subset_iff, ← finset.coe_image] at hl,
exact set.subset.trans finsupp.map_domain_support hl
end
theorem map_supported (f : β → γ) (s : set β) :
(supported s).map (lc.map f) = supported (f '' s) :=
begin
refine le_antisymm (map_le_iff_le_comap.2 $
le_trans (supported_mono $ set.subset_preimage_image _ _)
(supported_comap_map _ _)) _,
intros l hl, haveI : inhabited β := ⟨0⟩,
refine ⟨(lc.map (inv_fun_on f s) : lc α γ →ₗ lc α β) l, λ x hx, _, _⟩,
{ rcases finset.mem_image.1 (finsupp.map_domain_support hx) with ⟨c, hc, rfl⟩,
exact inv_fun_on_mem (by simpa using hl hc) },
{ rw [← linear_map.comp_apply, ← map_comp],
refine (finsupp.map_domain_congr $ λ c hc, _).trans finsupp.map_domain_id,
exact inv_fun_on_eq (by simpa using hl hc) }
end
theorem map_disjoint_ker (f : β → γ) {s : set β}
(H : ∀ a b ∈ s, f a = f b → a = b) :
disjoint (supported s) (lc.map f).ker :=
begin
rintro l ⟨h₁, h₂⟩,
rw [mem_coe, mem_ker, map_apply, finsupp.map_domain] at h₂,
simp, ext x,
by_cases xs : x ∈ s,
{ have : finsupp.sum l (λ a, finsupp.single (f a)) (f x) = 0, {rw h₂, refl},
rw [finsupp.sum_apply, finsupp.sum, finset.sum_eq_single x] at this,
{ simpa [finsupp.single_apply] },
{ intros y hy xy, simp [mt (H _ _ (h₁ hy) xs) xy] },
{ simp {contextual := tt} } },
{ by_contra h, exact xs (h₁ $ finsupp.mem_support_iff.2 h) }
end
theorem map_total (f : β →ₗ γ) :
(lc.total γ).comp (lc.map f) = f.comp (lc.total β) :=
by ext; simp [total_apply, finsupp.sum_map_domain_index, add_smul]
end lc
section module
variables [ring α] [add_comm_group β] [add_comm_group γ] [add_comm_group δ]
variables [module α β] [module α γ] [module α δ]
variables {a b : α} {s t : set β} {x y : β}
include α
open submodule
theorem span_eq_map_lc : span s = (lc.supported s).map (lc.total β) :=
begin
apply span_eq_of_le,
{ exact λ x hx, ⟨_, lc.single_mem_supported 1 hx, by simp⟩ },
{ refine map_le_iff_le_comap.2 (λ v hv, _),
have : ∀c, v c • c ∈ span s,
{ intro c, by_cases c ∈ s,
{ exact smul_mem _ _ (subset_span h) },
{ simp [lc.mem_supported'.1 hv _ h] } },
refine sum_mem _ _, simp [this] }
end
theorem mem_span_iff_lc : x ∈ span s ↔ ∃ l ∈ lc.supported s, lc.total β l = x :=
by rw span_eq_map_lc; simp
def lc.total_on (s : set β) : lc.supported s →ₗ span s :=
linear_map.cod_restrict _ ((lc.total _).comp (submodule.subtype _)) $
λ ⟨l, hl⟩, mem_span_iff_lc.2 ⟨l, hl, rfl⟩
theorem lc.total_on_range (s : set β) : (lc.total_on s).range = ⊤ :=
by rw [lc.total_on, linear_map.range, linear_map.map_cod_restrict, ← linear_map.range_le_iff_comap,
range_subtype, map_top, linear_map.range_comp, range_subtype]; exact le_of_eq span_eq_map_lc
lemma linear_eq_on {f g : β →ₗ γ} (H : ∀x∈s, f x = g x) {x} (h : x ∈ span s) : f x = g x :=
by apply span_induction h H; simp {contextual := tt}
end module
|
43d629b4191f9c728b4ca8bc799393fbf3c04a3e | d406927ab5617694ec9ea7001f101b7c9e3d9702 | /src/algebra/triv_sq_zero_ext.lean | d04a32e95c5aa0678b0cb2972bdedb638e384d72 | [
"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 | 17,057 | lean | /-
Copyright (c) 2020 Kenny Lau. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Kenny Lau
-/
import algebra.algebra.basic
import linear_algebra.prod
/-!
# Trivial Square-Zero Extension
Given a module `M` over a ring `R`, the trivial square-zero extension of `M` over `R` is defined
to be the `R`-algebra `R ⊕ M` with multiplication given by
`(r₁ + m₁) * (r₂ + m₂) = r₁ r₂ + r₁ m₂ + r₂ m₁`.
It is a square-zero extension because `M^2 = 0`.
## Main definitions
* `triv_sq_zero_ext.inl`, `triv_sq_zero_ext.inr`: the canonical inclusions into
`triv_sq_zero_ext R M`.
* `triv_sq_zero_ext.fst`, `triv_sq_zero_ext.snd`: the canonical projections from
`triv_sq_zero_ext R M`.
* `triv_sq_zero_ext.algebra`: the associated `R`-algebra structure.
* `triv_sq_zero_ext.lift`: the universal property of the trivial square-zero extension; algebra
morphisms `triv_sq_zero_ext R M →ₐ[R] A` are uniquely defined by linear maps `M →ₗ[R] A` for
which the product of any two elements in the range is zero.
-/
universes u v w
/--
"Trivial Square-Zero Extension".
Given a module `M` over a ring `R`, the trivial square-zero extension of `M` over `R` is defined
to be the `R`-algebra `R × M` with multiplication given by
`(r₁ + m₁) * (r₂ + m₂) = r₁ r₂ + r₁ m₂ + r₂ m₁`.
It is a square-zero extension because `M^2 = 0`.
-/
def triv_sq_zero_ext (R : Type u) (M : Type v) :=
R × M
local notation `tsze` := triv_sq_zero_ext
namespace triv_sq_zero_ext
section basic
variables {R : Type u} {M : Type v}
/-- The canonical inclusion `R → triv_sq_zero_ext R M`. -/
def inl [has_zero M] (r : R) : tsze R M :=
(r, 0)
/-- The canonical inclusion `M → triv_sq_zero_ext R M`. -/
def inr [has_zero R] (m : M) : tsze R M :=
(0, m)
/-- The canonical projection `triv_sq_zero_ext R M → R`. -/
def fst (x : tsze R M) : R :=
x.1
/-- The canonical projection `triv_sq_zero_ext R M → M`. -/
def snd (x : tsze R M) : M :=
x.2
@[simp] lemma fst_mk (r : R) (m : M) : fst (r, m) = r := rfl
@[simp] lemma snd_mk (r : R) (m : M) : snd (r, m) = m := rfl
@[ext] lemma ext {x y : tsze R M} (h1 : x.fst = y.fst) (h2 : x.snd = y.snd) : x = y :=
prod.ext h1 h2
section
variables (M)
@[simp] lemma fst_inl [has_zero M] (r : R) : (inl r : tsze R M).fst = r := rfl
@[simp] lemma snd_inl [has_zero M] (r : R) : (inl r : tsze R M).snd = 0 := rfl
end
section
variables (R)
@[simp] lemma fst_inr [has_zero R] (m : M) : (inr m : tsze R M).fst = 0 := rfl
@[simp] lemma snd_inr [has_zero R] (m : M) : (inr m : tsze R M).snd = m := rfl
end
lemma inl_injective [has_zero M] : function.injective (inl : R → tsze R M) :=
function.left_inverse.injective $ fst_inl _
lemma inr_injective [has_zero R] : function.injective (inr : M → tsze R M) :=
function.left_inverse.injective $ snd_inr _
end basic
/-! ### Structures inherited from `prod`
Additive operators and scalar multiplication operate elementwise. -/
section additive
variables {T : Type*} {S : Type*} {R : Type u} {M : Type v}
instance [inhabited R] [inhabited M] : inhabited (tsze R M) :=
prod.inhabited
instance [has_zero R] [has_zero M] : has_zero (tsze R M) :=
prod.has_zero
instance [has_add R] [has_add M] : has_add (tsze R M) :=
prod.has_add
instance [has_neg R] [has_neg M] : has_neg (tsze R M) :=
prod.has_neg
instance [add_semigroup R] [add_semigroup M] : add_semigroup (tsze R M) :=
prod.add_semigroup
instance [add_zero_class R] [add_zero_class M] : add_zero_class (tsze R M) :=
prod.add_zero_class
instance [add_monoid R] [add_monoid M] : add_monoid (tsze R M) :=
prod.add_monoid
instance [add_group R] [add_group M] : add_group (tsze R M) :=
prod.add_group
instance [add_comm_semigroup R] [add_comm_semigroup M] : add_comm_semigroup (tsze R M) :=
prod.add_comm_semigroup
instance [add_comm_monoid R] [add_comm_monoid M] : add_comm_monoid (tsze R M) :=
prod.add_comm_monoid
instance [add_comm_group R] [add_comm_group M] : add_comm_group (tsze R M) :=
prod.add_comm_group
instance [has_smul S R] [has_smul S M] : has_smul S (tsze R M) :=
prod.has_smul
instance [has_smul T R] [has_smul T M] [has_smul S R] [has_smul S M] [has_smul T S]
[is_scalar_tower T S R] [is_scalar_tower T S M] : is_scalar_tower T S (tsze R M) :=
prod.is_scalar_tower
instance [has_smul T R] [has_smul T M] [has_smul S R] [has_smul S M]
[smul_comm_class T S R] [smul_comm_class T S M] : smul_comm_class T S (tsze R M) :=
prod.smul_comm_class
instance [has_smul S R] [has_smul S M] [has_smul Sᵐᵒᵖ R] [has_smul Sᵐᵒᵖ M]
[is_central_scalar S R] [is_central_scalar S M] : is_central_scalar S (tsze R M) :=
prod.is_central_scalar
instance [monoid S] [mul_action S R] [mul_action S M] : mul_action S (tsze R M) :=
prod.mul_action
instance [monoid S] [add_monoid R] [add_monoid M]
[distrib_mul_action S R] [distrib_mul_action S M] : distrib_mul_action S (tsze R M) :=
prod.distrib_mul_action
instance [semiring S] [add_comm_monoid R] [add_comm_monoid M]
[module S R] [module S M] : module S (tsze R M) :=
prod.module
@[simp] lemma fst_zero [has_zero R] [has_zero M] : (0 : tsze R M).fst = 0 := rfl
@[simp] lemma snd_zero [has_zero R] [has_zero M] : (0 : tsze R M).snd = 0 := rfl
@[simp] lemma fst_add [has_add R] [has_add M] (x₁ x₂ : tsze R M) :
(x₁ + x₂).fst = x₁.fst + x₂.fst := rfl
@[simp] lemma snd_add [has_add R] [has_add M] (x₁ x₂ : tsze R M) :
(x₁ + x₂).snd = x₁.snd + x₂.snd := rfl
@[simp] lemma fst_neg [has_neg R] [has_neg M] (x : tsze R M) : (-x).fst = -x.fst := rfl
@[simp] lemma snd_neg [has_neg R] [has_neg M] (x : tsze R M) : (-x).snd = -x.snd := rfl
@[simp] lemma fst_smul [has_smul S R] [has_smul S M] (s : S) (x : tsze R M) :
(s • x).fst = s • x.fst := rfl
@[simp] lemma snd_smul [has_smul S R] [has_smul S M] (s : S) (x : tsze R M) :
(s • x).snd = s • x.snd := rfl
section
variables (M)
@[simp] lemma inl_zero [has_zero R] [has_zero M] : (inl 0 : tsze R M) = 0 := rfl
@[simp] lemma inl_add [has_add R] [add_zero_class M] (r₁ r₂ : R) :
(inl (r₁ + r₂) : tsze R M) = inl r₁ + inl r₂ :=
ext rfl (add_zero 0).symm
@[simp] lemma inl_neg [has_neg R] [add_group M] (r : R) :
(inl (-r) : tsze R M) = -inl r :=
ext rfl neg_zero.symm
@[simp] lemma inl_smul [monoid S] [add_monoid M] [has_smul S R] [distrib_mul_action S M]
(s : S) (r : R) : (inl (s • r) : tsze R M) = s • inl r :=
ext rfl (smul_zero s).symm
end
section
variables (R)
@[simp] lemma inr_zero [has_zero R] [has_zero M] : (inr 0 : tsze R M) = 0 := rfl
@[simp] lemma inr_add [add_zero_class R] [add_zero_class M] (m₁ m₂ : M) :
(inr (m₁ + m₂) : tsze R M) = inr m₁ + inr m₂ :=
ext (add_zero 0).symm rfl
@[simp] lemma inr_neg [add_group R] [has_neg M] (m : M) :
(inr (-m) : tsze R M) = -inr m :=
ext neg_zero.symm rfl
@[simp] lemma inr_smul [has_zero R] [has_zero S] [smul_with_zero S R] [has_smul S M]
(r : S) (m : M) : (inr (r • m) : tsze R M) = r • inr m :=
ext (smul_zero _).symm rfl
end
lemma inl_fst_add_inr_snd_eq [add_zero_class R] [add_zero_class M] (x : tsze R M) :
inl x.fst + inr x.snd = x :=
ext (add_zero x.1) (zero_add x.2)
/-- To show a property hold on all `triv_sq_zero_ext R M` it suffices to show it holds
on terms of the form `inl r + inr m`.
This can be used as `induction x using triv_sq_zero_ext.ind`. -/
lemma ind {R M} [add_zero_class R] [add_zero_class M] {P : triv_sq_zero_ext R M → Prop}
(h : ∀ r m, P (inl r + inr m)) (x) : P x :=
inl_fst_add_inr_snd_eq x ▸ h x.1 x.2
/-- This cannot be marked `@[ext]` as it ends up being used instead of `linear_map.prod_ext` when
working with `R × M`. -/
lemma linear_map_ext {N} [semiring S] [add_comm_monoid R] [add_comm_monoid M] [add_comm_monoid N]
[module S R] [module S M] [module S N] ⦃f g : tsze R M →ₗ[S] N⦄
(hl : ∀ r, f (inl r) = g (inl r)) (hr : ∀ m, f (inr m) = g (inr m)) :
f = g :=
linear_map.prod_ext (linear_map.ext hl) (linear_map.ext hr)
variables (R M)
/-- The canonical `R`-linear inclusion `M → triv_sq_zero_ext R M`. -/
@[simps apply]
def inr_hom [semiring R] [add_comm_monoid M] [module R M] : M →ₗ[R] tsze R M :=
{ to_fun := inr, ..linear_map.inr R R M }
/-- The canonical `R`-linear projection `triv_sq_zero_ext R M → M`. -/
@[simps apply]
def snd_hom [semiring R] [add_comm_monoid M] [module R M] : tsze R M →ₗ[R] M :=
{ to_fun := snd, ..linear_map.snd _ _ _ }
end additive
/-! ### Multiplicative structure -/
section mul
variables {R : Type u} {M : Type v}
instance [has_one R] [has_zero M] : has_one (tsze R M) :=
⟨(1, 0)⟩
instance [has_mul R] [has_add M] [has_smul R M] : has_mul (tsze R M) :=
⟨λ x y, (x.1 * y.1, x.1 • y.2 + y.1 • x.2)⟩
@[simp] lemma fst_one [has_one R] [has_zero M] : (1 : tsze R M).fst = 1 := rfl
@[simp] lemma snd_one [has_one R] [has_zero M] : (1 : tsze R M).snd = 0 := rfl
@[simp] lemma fst_mul [has_mul R] [has_add M] [has_smul R M] (x₁ x₂ : tsze R M) :
(x₁ * x₂).fst = x₁.fst * x₂.fst := rfl
@[simp] lemma snd_mul [has_mul R] [has_add M] [has_smul R M] (x₁ x₂ : tsze R M) :
(x₁ * x₂).snd = x₁.fst • x₂.snd + x₂.fst • x₁.snd := rfl
section
variables (M)
@[simp] lemma inl_one [has_one R] [has_zero M] : (inl 1 : tsze R M) = 1 := rfl
@[simp] lemma inl_mul [monoid R] [add_monoid M] [distrib_mul_action R M] (r₁ r₂ : R) :
(inl (r₁ * r₂) : tsze R M) = inl r₁ * inl r₂ :=
ext rfl $ show (0 : M) = r₁ • 0 + r₂ • 0, by rw [smul_zero, zero_add, smul_zero]
lemma inl_mul_inl [monoid R] [add_monoid M] [distrib_mul_action R M] (r₁ r₂ : R) :
(inl r₁ * inl r₂ : tsze R M) = inl (r₁ * r₂) :=
(inl_mul M r₁ r₂).symm
end
section
variables (R)
@[simp] lemma inr_mul_inr [semiring R] [add_comm_monoid M] [module R M] (m₁ m₂ : M) :
(inr m₁ * inr m₂ : tsze R M) = 0 :=
ext (mul_zero _) $ show (0 : R) • m₂ + (0 : R) • m₁ = 0, by rw [zero_smul, zero_add, zero_smul]
end
lemma inl_mul_inr [semiring R] [add_comm_monoid M] [module R M] (r : R) (m : M) :
(inl r * inr m : tsze R M) = inr (r • m) :=
ext (mul_zero r) $ show r • m + (0 : R) • 0 = r • m, by rw [smul_zero, add_zero]
lemma inr_mul_inl [semiring R] [add_comm_monoid M] [module R M] (r : R) (m : M) :
(inr m * inl r : tsze R M) = inr (r • m) :=
ext (zero_mul r) $ show (0 : R) • 0 + r • m = r • m, by rw [smul_zero, zero_add]
instance [monoid R] [add_monoid M] [distrib_mul_action R M] : mul_one_class (tsze R M) :=
{ one_mul := λ x, ext (one_mul x.1) $ show (1 : R) • x.2 + x.1 • 0 = x.2,
by rw [one_smul, smul_zero, add_zero],
mul_one := λ x, ext (mul_one x.1) $ show (x.1 • 0 : M) + (1 : R) • x.2 = x.2,
by rw [smul_zero, zero_add, one_smul],
.. triv_sq_zero_ext.has_one,
.. triv_sq_zero_ext.has_mul }
instance [add_monoid_with_one R] [add_monoid M] : add_monoid_with_one (tsze R M) :=
{ nat_cast := λ n, (n, 0),
nat_cast_zero := by simp [nat.cast],
nat_cast_succ := λ _, by ext; simp [nat.cast],
.. triv_sq_zero_ext.add_monoid,
.. triv_sq_zero_ext.has_one }
instance [semiring R] [add_comm_monoid M] [module R M] : non_assoc_semiring (tsze R M) :=
{ zero_mul := λ x, ext (zero_mul x.1) $ show (0 : R) • x.2 + x.1 • 0 = 0,
by rw [zero_smul, zero_add, smul_zero],
mul_zero := λ x, ext (mul_zero x.1) $ show (x.1 • 0 : M) + (0 : R) • x.2 = 0,
by rw [smul_zero, zero_add, zero_smul],
left_distrib := λ x₁ x₂ x₃, ext (mul_add x₁.1 x₂.1 x₃.1) $
show x₁.1 • (x₂.2 + x₃.2) + (x₂.1 + x₃.1) • x₁.2 =
x₁.1 • x₂.2 + x₂.1 • x₁.2 + (x₁.1 • x₃.2 + x₃.1 • x₁.2),
by simp_rw [smul_add, add_smul, add_add_add_comm],
right_distrib := λ x₁ x₂ x₃, ext (add_mul x₁.1 x₂.1 x₃.1) $
show (x₁.1 + x₂.1) • x₃.2 + x₃.1 • (x₁.2 + x₂.2) =
x₁.1 • x₃.2 + x₃.1 • x₁.2 + (x₂.1 • x₃.2 + x₃.1 • x₂.2),
by simp_rw [add_smul, smul_add, add_add_add_comm],
.. triv_sq_zero_ext.add_monoid_with_one,
.. triv_sq_zero_ext.mul_one_class,
.. triv_sq_zero_ext.add_comm_monoid }
instance [comm_monoid R] [add_monoid M] [distrib_mul_action R M] : monoid (tsze R M) :=
{ mul_assoc := λ x y z, ext (mul_assoc x.1 y.1 z.1) $
show (x.1 * y.1) • z.2 + z.1 • (x.1 • y.2 + y.1 • x.2) =
x.1 • (y.1 • z.2 + z.1 • y.2) + (y.1 * z.1) • x.2,
by simp_rw [smul_add, ← mul_smul, add_assoc, mul_comm],
.. triv_sq_zero_ext.mul_one_class }
instance [comm_monoid R] [add_comm_monoid M] [distrib_mul_action R M] : comm_monoid (tsze R M) :=
{ mul_comm := λ x₁ x₂, ext (mul_comm x₁.1 x₂.1) $
show x₁.1 • x₂.2 + x₂.1 • x₁.2 = x₂.1 • x₁.2 + x₁.1 • x₂.2, from add_comm _ _,
.. triv_sq_zero_ext.monoid }
instance [comm_semiring R] [add_comm_monoid M] [module R M] : comm_semiring (tsze R M) :=
{ .. triv_sq_zero_ext.comm_monoid,
.. triv_sq_zero_ext.non_assoc_semiring }
variables (R M)
/-- The canonical inclusion of rings `R → triv_sq_zero_ext R M`. -/
@[simps apply]
def inl_hom [semiring R] [add_comm_monoid M] [module R M] : R →+* tsze R M :=
{ to_fun := inl,
map_one' := inl_one M,
map_mul' := inl_mul M,
map_zero' := inl_zero M,
map_add' := inl_add M }
end mul
section algebra
variables (S : Type*) (R : Type u) (M : Type v)
variables [comm_semiring S] [comm_semiring R] [add_comm_monoid M]
variables [algebra S R] [module S M] [module R M] [is_scalar_tower S R M]
instance algebra' : algebra S (tsze R M) :=
{ commutes' := λ r x, mul_comm _ _,
smul_def' := λ r x, ext (algebra.smul_def _ _) $
show r • x.2 = algebra_map S R r • x.2 + x.1 • 0, by rw [smul_zero, add_zero, algebra_map_smul],
.. (triv_sq_zero_ext.inl_hom R M).comp (algebra_map S R) }
-- shortcut instance for the common case
instance : algebra R (tsze R M) := triv_sq_zero_ext.algebra' _ _ _
lemma algebra_map_eq_inl : ⇑(algebra_map R (tsze R M)) = inl := rfl
lemma algebra_map_eq_inl_hom : algebra_map R (tsze R M) = inl_hom R M := rfl
lemma algebra_map_eq_inl' (s : S) : algebra_map S (tsze R M) s = inl (algebra_map S R s) := rfl
/-- The canonical `R`-algebra projection `triv_sq_zero_ext R M → R`. -/
@[simps]
def fst_hom : tsze R M →ₐ[R] R :=
{ to_fun := fst,
map_one' := fst_one,
map_mul' := fst_mul,
map_zero' := fst_zero,
map_add' := fst_add,
commutes' := fst_inl M }
variables {R S M}
lemma alg_hom_ext {A} [semiring A] [algebra R A] ⦃f g : tsze R M →ₐ[R] A⦄
(h : ∀ m, f (inr m) = g (inr m)) :
f = g :=
alg_hom.to_linear_map_injective $ linear_map_ext (λ r, (f.commutes _).trans (g.commutes _).symm) h
@[ext]
lemma alg_hom_ext' {A} [semiring A] [algebra R A] ⦃f g : tsze R M →ₐ[R] A⦄
(h : f.to_linear_map.comp (inr_hom R M) = g.to_linear_map.comp (inr_hom R M)) :
f = g :=
alg_hom_ext $ linear_map.congr_fun h
variables {A : Type*} [semiring A] [algebra R A]
/-- There is an alg_hom from the trivial square zero extension to any `R`-algebra with a submodule
whose products are all zero.
See `triv_sq_zero_ext.lift` for this as an equiv. -/
def lift_aux (f : M →ₗ[R] A) (hf : ∀ x y, f x * f y = 0) : tsze R M →ₐ[R] A :=
alg_hom.of_linear_map
((algebra.linear_map _ _).comp (fst_hom R M).to_linear_map + f.comp (snd_hom R M))
(show algebra_map R _ 1 + f (0 : M) = 1, by rw [map_zero, map_one, add_zero])
(triv_sq_zero_ext.ind $ λ r₁ m₁, triv_sq_zero_ext.ind $ λ r₂ m₂, begin
dsimp,
simp only [add_zero, zero_add, add_mul, mul_add, smul_mul_smul, hf, smul_zero],
rw [←ring_hom.map_mul, linear_map.map_add, ←algebra.commutes _ (f _), ←algebra.smul_def,
←algebra.smul_def, add_right_comm, add_assoc, linear_map.map_smul, linear_map.map_smul],
end)
@[simp] lemma lift_aux_apply_inr (f : M →ₗ[R] A) (hf : ∀ x y, f x * f y = 0) (m : M) :
lift_aux f hf (inr m) = f m :=
show algebra_map R A 0 + f m = f m, by rw [ring_hom.map_zero, zero_add]
@[simp] lemma lift_aux_comp_inr_hom (f : M →ₗ[R] A) (hf : ∀ x y, f x * f y = 0) :
(lift_aux f hf).to_linear_map.comp (inr_hom R M) = f :=
linear_map.ext $ lift_aux_apply_inr f hf
/- When applied to `inr` itself, `lift_aux` is the identity. -/
@[simp]
lemma lift_aux_inr_hom : lift_aux (inr_hom R M) (inr_mul_inr R) = alg_hom.id R (tsze R M) :=
alg_hom_ext' $ lift_aux_comp_inr_hom _ _
/-- A universal property of the trivial square-zero extension, providing a unique
`triv_sq_zero_ext R M →ₐ[R] A` for every linear map `M →ₗ[R] A` whose range has no non-zero
products.
This isomorphism is named to match the very similar `complex.lift`. -/
@[simps]
def lift : {f : M →ₗ[R] A // ∀ x y, f x * f y = 0} ≃ (tsze R M →ₐ[R] A) :=
{ to_fun := λ f, lift_aux f f.prop,
inv_fun := λ F, ⟨F.to_linear_map.comp (inr_hom R M), λ x y,
(F.map_mul _ _).symm.trans $ (F.congr_arg $ inr_mul_inr _ _ _).trans F.map_zero⟩,
left_inv := λ f, subtype.ext $ lift_aux_comp_inr_hom _ _,
right_inv := λ F, alg_hom_ext' $ lift_aux_comp_inr_hom _ _, }
end algebra
end triv_sq_zero_ext
|
34a41ed7e2c67995236c024af149efa6ad389f46 | 130c49f47783503e462c16b2eff31933442be6ff | /stage0/src/Lean/Parser/Command.lean | f21a840792a6cd3bcdee46f94bd43bb2dc743660 | [
"Apache-2.0"
] | permissive | Hazel-Brown/lean4 | 8aa5860e282435ffc30dcdfccd34006c59d1d39c | 79e6732fc6bbf5af831b76f310f9c488d44e7a16 | refs/heads/master | 1,689,218,208,951 | 1,629,736,869,000 | 1,629,736,896,000 | null | 0 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 10,108 | 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, Sebastian Ullrich
-/
import Lean.Parser.Term
import Lean.Parser.Do
namespace Lean
namespace Parser
/--
Syntax quotation for terms and (lists of) commands. We prefer terms, so ambiguous quotations like
`` `($x $y) `` will be parsed as an application, not two commands. Use `` `($x:command $y:command) `` instead.
Multiple command will be put in a `` `null `` node, but a single command will not (so that you can directly
match against a quotation in a command kind's elaborator). -/
-- TODO: use two separate quotation parsers with parser priorities instead
@[builtinTermParser] def Term.quot := leading_parser "`(" >> incQuotDepth (termParser <|> many1Unbox commandParser) >> ")"
@[builtinTermParser] def Term.precheckedQuot := leading_parser "`" >> Term.quot
namespace Command
@[builtinCommandParser]
def moduleDoc := leading_parser ppDedent $ "/-!" >> commentBody >> ppLine
def namedPrio := leading_parser (atomic ("(" >> nonReservedSymbol "priority") >> " := " >> priorityParser >> ")")
def optNamedPrio := optional namedPrio
def «private» := leading_parser "private "
def «protected» := leading_parser "protected "
def visibility := «private» <|> «protected»
def «noncomputable» := leading_parser "noncomputable "
def «unsafe» := leading_parser "unsafe "
def «partial» := leading_parser "partial "
def «nonrec» := leading_parser "nonrec "
def declModifiers (inline : Bool) := leading_parser optional docComment >> optional (Term.«attributes» >> if inline then skip else ppDedent ppLine) >> optional visibility >> optional «noncomputable» >> optional «unsafe» >> optional («partial» <|> «nonrec»)
def declId := leading_parser ident >> optional (".{" >> sepBy1 ident ", " >> "}")
def declSig := leading_parser many (ppSpace >> (Term.simpleBinderWithoutType <|> Term.bracketedBinder)) >> Term.typeSpec
def optDeclSig := leading_parser many (ppSpace >> (Term.simpleBinderWithoutType <|> Term.bracketedBinder)) >> Term.optType
def declValSimple := leading_parser " :=\n" >> termParser >> optional Term.whereDecls
def declValEqns := leading_parser Term.matchAltsWhereDecls
def declVal := declValSimple <|> declValEqns <|> Term.whereDecls
def «abbrev» := leading_parser "abbrev " >> declId >> optDeclSig >> declVal
def «def» := leading_parser "def " >> declId >> optDeclSig >> declVal
def «theorem» := leading_parser "theorem " >> declId >> declSig >> declVal
def «constant» := leading_parser "constant " >> declId >> declSig >> optional declValSimple
def «instance» := leading_parser Term.attrKind >> "instance " >> optNamedPrio >> optional declId >> declSig >> declVal
def «axiom» := leading_parser "axiom " >> declId >> declSig
def «example» := leading_parser "example " >> declSig >> declVal
def inferMod := leading_parser atomic (symbol "{" >> "}")
def ctor := leading_parser "\n| " >> declModifiers true >> ident >> optional inferMod >> optDeclSig
def derivingClasses := sepBy1 (group (ident >> optional (" with " >> Term.structInst))) ", "
def optDeriving := leading_parser optional (atomic ("deriving " >> notSymbol "instance") >> derivingClasses)
def «inductive» := leading_parser "inductive " >> declId >> optDeclSig >> optional (symbol ":=" <|> "where") >> many ctor >> optDeriving
def classInductive := leading_parser atomic (group (symbol "class " >> "inductive ")) >> declId >> optDeclSig >> optional (symbol ":=" <|> "where") >> many ctor >> optDeriving
def structExplicitBinder := leading_parser atomic (declModifiers true >> "(") >> many1 ident >> optional inferMod >> optDeclSig >> optional (Term.binderTactic <|> Term.binderDefault) >> ")"
def structImplicitBinder := leading_parser atomic (declModifiers true >> "{") >> many1 ident >> optional inferMod >> declSig >> "}"
def structInstBinder := leading_parser atomic (declModifiers true >> "[") >> many1 ident >> optional inferMod >> declSig >> "]"
def structSimpleBinder := leading_parser atomic (declModifiers true >> ident) >> optional inferMod >> optDeclSig >> optional (Term.binderTactic <|> Term.binderDefault)
def structFields := leading_parser manyIndent (ppLine >> checkColGe >>(structExplicitBinder <|> structImplicitBinder <|> structInstBinder <|> structSimpleBinder))
def structCtor := leading_parser atomic (declModifiers true >> ident >> optional inferMod >> " :: ")
def structureTk := leading_parser "structure "
def classTk := leading_parser "class "
def «extends» := leading_parser " extends " >> sepBy1 termParser ", "
def «structure» := leading_parser
(structureTk <|> classTk) >> declId >> many Term.bracketedBinder >> optional «extends» >> Term.optType
>> optional ((symbol " := " <|> " where ") >> optional structCtor >> structFields)
>> optDeriving
@[builtinCommandParser] def declaration := leading_parser
declModifiers false >> («abbrev» <|> «def» <|> «theorem» <|> «constant» <|> «instance» <|> «axiom» <|> «example» <|> «inductive» <|> classInductive <|> «structure»)
@[builtinCommandParser] def «deriving» := leading_parser "deriving " >> "instance " >> derivingClasses >> " for " >> sepBy1 ident ", "
@[builtinCommandParser] def «section» := leading_parser "section " >> optional ident
@[builtinCommandParser] def «namespace» := leading_parser "namespace " >> ident
@[builtinCommandParser] def «end» := leading_parser "end " >> optional ident
@[builtinCommandParser] def «variable» := leading_parser "variable" >> many1 Term.bracketedBinder
@[builtinCommandParser] def «universe» := leading_parser "universe " >> many1 ident
@[builtinCommandParser] def check := leading_parser "#check " >> termParser
@[builtinCommandParser] def check_failure := leading_parser "#check_failure " >> termParser -- Like `#check`, but succeeds only if term does not type check
@[builtinCommandParser] def reduce := leading_parser "#reduce " >> termParser
@[builtinCommandParser] def eval := leading_parser "#eval " >> termParser
@[builtinCommandParser] def synth := leading_parser "#synth " >> termParser
@[builtinCommandParser] def exit := leading_parser "#exit"
@[builtinCommandParser] def print := leading_parser "#print " >> (ident <|> strLit)
@[builtinCommandParser] def printAxioms := leading_parser "#print " >> nonReservedSymbol "axioms " >> ident
@[builtinCommandParser] def «resolve_name» := leading_parser "#resolve_name " >> ident
@[builtinCommandParser] def «init_quot» := leading_parser "init_quot"
def optionValue := nonReservedSymbol "true" <|> nonReservedSymbol "false" <|> strLit <|> numLit
@[builtinCommandParser] def «set_option» := leading_parser "set_option " >> ident >> ppSpace >> optionValue
def eraseAttr := leading_parser "-" >> ident
@[builtinCommandParser] def «attribute» := leading_parser "attribute " >> "[" >> sepBy1 (eraseAttr <|> Term.attrInstance) ", " >> "] " >> many1 ident
@[builtinCommandParser] def «export» := leading_parser "export " >> ident >> "(" >> many1 ident >> ")"
def openHiding := leading_parser atomic (ident >> "hiding") >> many1 ident
def openRenamingItem := leading_parser ident >> unicodeSymbol "→" "->" >> ident
def openRenaming := leading_parser atomic (ident >> "renaming") >> sepBy1 openRenamingItem ", "
def openOnly := leading_parser atomic (ident >> "(") >> many1 ident >> ")"
def openSimple := leading_parser many1 ident
def openScoped := leading_parser "scoped " >> many1 ident
def openDecl := openHiding <|> openRenaming <|> openOnly <|> openSimple <|> openScoped
@[builtinCommandParser] def «open» := leading_parser "open " >> openDecl
@[builtinCommandParser] def «mutual» := leading_parser "mutual " >> many1 (ppLine >> notSymbol "end" >> commandParser) >> ppDedent (ppLine >> "end")
@[builtinCommandParser] def «initialize» := leading_parser optional visibility >> "initialize " >> optional (atomic (ident >> Term.typeSpec >> Term.leftArrow)) >> Term.doSeq
@[builtinCommandParser] def «builtin_initialize» := leading_parser optional visibility >> "builtin_initialize " >> optional (atomic (ident >> Term.typeSpec >> Term.leftArrow)) >> Term.doSeq
@[builtinCommandParser] def «in» := trailing_parser " in " >> commandParser
/-
This is an auxiliary command for generation constructor injectivity theorems for inductive types defined at `Prelude.lean`.
It is meant for bootstrapping purposes only. -/
@[builtinCommandParser] def genInjectiveTheorems := leading_parser "gen_injective_theorems% " >> ident
@[runBuiltinParserAttributeHooks] abbrev declModifiersF := declModifiers false
@[runBuiltinParserAttributeHooks] abbrev declModifiersT := declModifiers true
builtin_initialize
register_parser_alias "declModifiers" declModifiersF
register_parser_alias "nestedDeclModifiers" declModifiersT
register_parser_alias "declId" declId
register_parser_alias "declSig" declSig
register_parser_alias "declVal" declVal
register_parser_alias "optDeclSig" optDeclSig
register_parser_alias "openDecl" openDecl
end Command
namespace Term
@[builtinTermParser] def «open» := leading_parser:leadPrec "open " >> Command.openDecl >> " in " >> termParser
@[builtinTermParser] def «set_option» := leading_parser:leadPrec "set_option " >> ident >> ppSpace >> Command.optionValue >> " in " >> termParser
end Term
namespace Tactic
@[builtinTacticParser] def «open» := leading_parser:leadPrec "open " >> Command.openDecl >> " in " >> tacticSeq
@[builtinTacticParser] def «set_option» := leading_parser:leadPrec "set_option " >> ident >> ppSpace >> Command.optionValue >> " in " >> tacticSeq
end Tactic
end Parser
end Lean
|
9216103440fb4d08785b7e1c62c091d086075641 | e61a235b8468b03aee0120bf26ec615c045005d2 | /src/Std.lean | 350c0228e1f4dc12375d706c305684f0255be622 | [
"Apache-2.0"
] | permissive | SCKelemen/lean4 | 140dc63a80539f7c61c8e43e1c174d8500ec3230 | e10507e6615ddbef73d67b0b6c7f1e4cecdd82bc | refs/heads/master | 1,660,973,595,917 | 1,590,278,033,000 | 1,590,278,033,000 | null | 0 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 180 | 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.Data
|
d45ebd8971282f8c46095709943b88beee036d61 | b82c5bb4c3b618c23ba67764bc3e93f4999a1a39 | /src/formal_ml/filter_util.lean | 97b9e362c3a594eadab0b3a32fe0ab63676ee0f7 | [
"Apache-2.0"
] | permissive | nouretienne/formal-ml | 83c4261016955bf9bcb55bd32b4f2621b44163e0 | 40b6da3b6e875f47412d50c7cd97936cb5091a2b | refs/heads/master | 1,671,216,448,724 | 1,600,472,285,000 | 1,600,472,285,000 | null | 0 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 38,892 | lean | /-
Copyright 2020 Google LLC
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
-/
import order.filter.basic
import topology.bases
import data.real.nnreal
import topology.instances.real
import topology.instances.nnreal
import topology.instances.ennreal
import topology.algebra.infinite_sum
import formal_ml.set
import formal_ml.finset
import formal_ml.nat
import formal_ml.ennreal
import formal_ml.nnreal
import data.finset
import order.complete_lattice
import formal_ml.real
open finset
lemma filter_le_intro (α:Type*) (A B:filter α):
(∀ a, a∈ B → a∈ A)→ (A≤ B) :=
begin
intros,
apply (@filter.le_def α A B).mpr,
assumption,
end
lemma filter_le_intro2 (α:Type*) (A B:filter α):
(B.sets ⊆ A.sets)→ (A≤ B) :=
begin
intros,
apply (@filter.le_def α A B).mpr,
have A1:((B.sets ⊆ A.sets) ↔ (∀ a∈ B.sets, a∈ A.sets)),
{
refl,
},
assumption,
end
lemma filter_le_elim {α:Type*} {A B:filter α} {a:set α}:
(A≤ B) → (a∈ B)→ (a∈ A) :=
begin
intros,
apply (@filter.le_def α A B).mp;assumption,
end
/-
filter.map f A is the pre-image of the pre-image of the sets in A.
--set.preimage f has type (set β)→ (set α)
--set.preimage f B = {x:f x ∈ B}
--set.preimage (set.preimage f) has type (set (set α)) → (set (set β))
--set.preimage (set.preimage f) AF = {y:(set.preimage f) y ∈ AF}
--set.preimage (set.preimage f) AF = {y:{x:f x∈ y} ∈ AF}
-/
lemma filter_map_def (α β:Type*) (A:filter α) (f:α → β):
(filter.map f A).sets = set.preimage (set.preimage f) A.sets :=
begin
refl,
end
lemma filter_mem_def (α:Type*) (A:filter α) (a:set α):
(a∈ A) = (a ∈ A.sets) :=
begin
refl,
end
lemma filter_map_intro (α β:Type*) (A:filter α) (f:α → β) (X:set α) (Y:set β):
(X∈ A) → (X=set.preimage f Y)→ (Y∈ filter.map f A) :=
begin
intros,
rw filter_mem_def,
rw filter_map_def,
unfold set.preimage,
simp,
rw filter_mem_def at a,
unfold set.preimage at a_1,
rw ← a_1,
assumption,
end
lemma filter_map_elim (α β:Type*) (A:filter α) (f:α → β) (Y:set β):
(Y∈ filter.map f A)→ (∃ (X∈ A), (X=set.preimage f Y)) :=
begin
intros,
rw filter_mem_def at a,
rw filter_map_def at a,
--unfold set.preimage,
simp,
unfold set.preimage at a,
simp at a,
apply a,
end
lemma filter_tendsto_intro (α β:Type*) (f:α → β) (A:filter α) (B:filter β):
(∀ b∈ B, set.preimage f b ∈ A) → (@filter.tendsto α β f A B) :=
begin
intros,
unfold filter.tendsto,
apply filter_le_intro,
intros,
apply filter_map_intro,
have A1:a_1 ∈ B → f ⁻¹' a_1 ∈ A,
{
apply a,
},
have A2:f ⁻¹' a_1 ∈ A,
{
apply A1,
apply a_2,
},
apply A2,
refl,
end
lemma filter_tendsto_elim {α β:Type*} {f:α → β} {A:filter α} {B:filter β} {s:set β}:
(@filter.tendsto α β f A B) →(s∈ B)→ (set.preimage f s ∈ A) :=
begin
intros,
unfold filter.tendsto at a,
have A1:s∈ filter.map f A,
{
apply filter_le_elim,
apply a,
apply a_1,
},
have A2:(∃ (X∈ A), (X=set.preimage f s)),
{
apply (filter_map_elim),
apply A1,
},
cases A2,
cases A2_h,
subst A2_w,
exact A2_h_w,
end
lemma filter_principal_intro {α:Type*} (a:finset α) (b:set (finset α)):
({c : finset α | a ⊆ c} ⊆ b) → b ∈ (filter.principal {c:finset α | a⊆ c}):=
begin
--apply b∈ (filter.principal {c:finset ℕ | a⊆ c}),
intros,
unfold filter.principal,
have A1:b ∈ {t : set (finset α) | {c : finset α | a ⊆ c} ⊆ t},
{
simp,
apply a_1,
},
apply A1,
end
lemma filter_principal_elim {α:Type*} (a:finset α) (b:set (finset α)):
b ∈ (filter.principal {c:finset α | a⊆ c}) → ({c : finset α | a ⊆ c} ⊆ b) :=
begin
intros,
apply (@filter.mem_principal_sets (finset α) b {c:finset α | a⊆ c}).mp,
apply a_1,
end
lemma filter_principal_intro2 {α:Type*} (a:finset α) (b:set (finset α)):
(∀ c:finset α, a⊆ c → c∈ b) → b ∈ (filter.principal {c:finset α | a⊆ c}):=
begin
intros,
apply filter_principal_intro,
rw set.subset_def,
intros,
simp at a_2,
apply a_1,
apply a_2,
end
lemma filter_principal_intro3 {α:Type*} (a b:set α):
(a⊆ b) → b ∈ filter.principal a:=
begin
unfold filter.principal,
simp,
end
lemma filter_principal_elim2 {α:Type*} (a:finset α) (b:set (finset α)) (c:finset α):
b ∈ (filter.principal {c:finset α | a⊆ c}) → (a ⊆ c) → (c∈ b) :=
begin
intros,
apply (@filter_principal_elim α a b),
{
apply a_1,
},
apply a_2,
end
lemma filter_principal_elim3 {α:Type*} (a b:set α):
b ∈ filter.principal a → (a⊆ b):=
begin
unfold filter.principal,
simp,
end
/-
Let's walk through a simple example.
b={1,2}
c={2,3}
filter.principal {{1,2},{1,2,3},{1,2,3,4}, {1,2,4}} ⊓
filter.principal {{1,3},{1,2,3},{1,2,3,4}, {1,3,4}} =
filter.principal {{1,2,3}, {1,2,3,4}}
-/
lemma principal_inf
(α:Type*) (A B:set α):
(filter.principal A ⊓ filter.principal B = filter.principal (A∩B)) :=
begin
simp,
end
lemma principal_inf_sets2 {α:Type*} [semilattice_sup_bot α] (b c:α):
filter.principal {d:α |b ≤ d} ⊓ filter.principal {d: α |c ≤ d}
= filter.principal {d:α |(b ⊔ c) ≤ d} :=
begin
have A1:{d:α |b ≤ d} ∩ {d:α |c ≤ d} = {d: α |(b ⊔ c) ≤ d},
{
ext,
split;intros,
{
cases a,
simp at a_left,
simp at a_right,
simp,
split;assumption,
},
{
simp at a,
cases a with A2 A3,
split;simp;assumption,
}
},
rw ← A1,
apply principal_inf,
end
-- Use apply principal_inf_sets2,
lemma principal_inf_sets {α:Type*} [decidable_eq α] (b c:finset α):
filter.principal {d:finset α |b ≤ d} ⊓ filter.principal {d:finset α |c ≤ d}
= filter.principal {d:finset α |(b ∪ c) ≤ d} :=
begin
apply principal_inf_sets2,
end
-- src/data/set/lattice.lean
lemma set_Inf_def (α:Type*) (S:set (set α)):
(Inf S) = {a | ∀ t ∈ S, a ∈ t } :=
begin
refl,
end
lemma set_Inf_intro (α:Type*) (S:set (set α)) (x:α):
(∀ X∈ S, x∈ X) → x∈ Inf S :=
begin
intros,
rw set_Inf_def,
simp,
exact a,
end
lemma set_Inf_range_intro (α β:Type*) (f:α → set (β)) (x:β):
(∀ y:α, x∈ f y) → x∈ Inf (set.range (λ (a : α), f a)) :=
begin
intros,
apply set_Inf_intro,
intros,
unfold set.range at H,
simp at H,
cases H,
rw ← H_h,
apply a,
end
lemma glb_intro {α β:Type*} (f:α → set (β)) (x:β):
(∀ a:α, x∈ f a) → x ∈ ⨅ a, f a :=
begin
intros,
unfold infi,
unfold Inf,
apply set_Inf_range_intro,
assumption,
end
lemma le_Inf_simp : ∀ (α:Type*) (s : set (filter α)) (a : filter α),
(∀ (b : filter α ), b ∈ s → a ≤ b) → a ≤ complete_lattice.Inf s :=
begin
intros,
apply (complete_lattice.le_Inf s),
apply a_1,
end
lemma Inf_le_simp : ∀ (α : Type*) (s : set (filter α)) (a : filter α),
a ∈ s → complete_lattice.Inf s ≤ a :=
begin
intros,
apply (complete_lattice.Inf_le s),
assumption,
end
lemma mem_Inf_intro {α : Type*} {s : set (filter α)} {a : filter α} {t:set α}:
t ∈ a → a ∈ s → t∈ complete_lattice.Inf s :=
begin
intros,
apply (complete_lattice.Inf_le s),
assumption,
assumption
end
-- This is equivalent to filter.mem_infi (or a mem_Inf variant of mem_infi)
def inf_filter_sets_def (α:Type*) (S : set (filter α)):set (set α) :=
{s:set α | ∃ f∈ S, s∈ f}
lemma inf_filter_sets_of_superset2 (α:Type*) (S : set (filter α)) (s t:set α):
s∈ (inf_filter_sets_def α S) → s⊆ t → t∈ (inf_filter_sets_def α S) :=
begin
intro,
unfold inf_filter_sets_def,
simp,
unfold inf_filter_sets_def at a,
simp at a,
cases a,
cases a_h,
intros,
apply exists.intro a_w,
split,
{
assumption,
},
{
apply filter.sets_of_superset,
apply a_h_right,
assumption,
}
end
--This suggests the definition is overly simplistic.
def inf_filter_sets_inter_sets2 (α:Type*) (S : set (filter α))
(H:∀ a b:filter α, a∈ S→ b∈ S→ a⊓b∈ S) (s t:set α):
s∈ (inf_filter_sets_def α S) →
t∈ (inf_filter_sets_def α S) →
s ∩ t ∈ (inf_filter_sets_def α S) :=
begin
unfold inf_filter_sets_def,
simp,
intros,
apply (exists.intro (x⊓x_1)),
split,
{
apply H;assumption,
},
{
rw ← filter_mem_def,
have B1:(s ∩ t) ∈ x ⊓ x_1 ↔ ∃t₁∈x, ∃t₂∈x_1, t₁ ∩ t₂ ⊆ (s ∩ t),
apply filter.mem_inf_sets,
apply B1.mpr,
apply exists.intro s,
apply exists.intro a_1,
apply exists.intro t,
apply exists.intro a_3,
refl,
}
end
lemma inf_filter_univ_sets2 (α:Type*) (S : set (filter α)) (b:filter α):
(b∈ S) → set.univ ∈ (inf_filter_sets_def α S) :=
begin
unfold inf_filter_sets_def,
simp,
intros,
apply exists.intro b,
split,
assumption,
apply filter.univ_sets,
end
def inf_filter_def2 (α:Type*) (S : set (filter α)) (b:filter α) (H:b∈ S)
(H2:∀ a b:filter α, a∈ S→ b∈ S→ a⊓b∈ S):filter α := {
sets := inf_filter_sets_def α S,
sets_of_superset := inf_filter_sets_of_superset2 α S,
univ_sets := (inf_filter_univ_sets2 α S b H),
inter_sets := inf_filter_sets_inter_sets2 α S H2,
}
/-
This definition is a little weak, as it assumes S is
nonempty and closed under (binary) infimum.
However, given these two constraints, the result is more
elegant, and it corresponds to the generic result about
filters, filter.eq_Inf_of_mem_sets_iff_exists_mem.
-/
lemma Inf_filter_def (α:Type*) (S : set (filter α))
(b:filter α) (H:b∈ S)
(H2:∀ a b:filter α, a∈ S→ b∈ S→ a⊓b∈ S) (s:set α):
(s ∈ Inf S)↔ (∃ t∈ S, s∈ t) :=
begin
have A1:(inf_filter_def2 α S b H H2) = Inf S,
{
apply filter.eq_Inf_of_mem_sets_iff_exists_mem,
intros,
unfold inf_filter_def2,
simp,
unfold inf_filter_sets_def,
simp,
},
rw ← A1,
unfold inf_filter_def2,
simp,
unfold inf_filter_sets_def,
simp,
end
lemma eq_Inf_of_mem_sets_iff_exists_mem {α:Type} {S : set (filter α)} {l : filter α}
(h : ∀ {s}, s ∈ l ↔ ∃ f ∈ S, s ∈ f) : l = Inf S :=
le_antisymm (le_Inf $ λ f hf s hs, h.2 ⟨f, hf, hs⟩)
(λ s hs, let ⟨f, hf, hs⟩ := h.1 hs in (Inf_le hf : Inf S ≤ f) hs)
--def filter_from_element (α:Type) (a:α):filter α := filter.principal (λ a', a=a')
--filter.principal s contains all the supersets of s.
--if s is in F, then F also contains
lemma le_principal (F:filter (finset ℕ)) (s:set (finset ℕ)):
(s∈ F)→ (F ≤ filter.principal s) :=
begin
intros,
apply (filter_le_intro2 (finset ℕ) F (filter.principal s)),
rw set.subset_def,
intros,
unfold filter.principal at a_1,
simp at a_1,
apply filter.sets_of_superset,
{
apply a,
},
{
assumption,
}
end
/-
What is a neighborhood of x? First, for every open set containing x,
consider the principal filter (set of all supersets). Now, let's consider the
infimum of all those settings, keeping in mind that for a set, the
inf (filter.principal S) (filter.principal T)=(filter.principal S∪T) (at this point,
we should be able to write a proof for this). Since the
union of two open sets containing X itself is an open set containing X, and every
element has at least one neighborhood that contains it, we are OK.
Thus, a neighborhood of x is a superset of an open set containing x.
--a more standard definition of neighborhood.
lemma mem_nhds_def (x:nnreal) (b:set nnreal):
(b∈ nhds x)↔ (∃ u:set nnreal, (u⊆ b) ∧ is_open u ∧ x∈ u) :=
-/
lemma mem_nhds_elim_real_rat (b:set real) (x:real): b∈ nhds x →
(∃ p q:ℚ, (p < q) ∧ ((set.Ioo p q:set ℝ) ⊆ b) ∧ ((p:ℝ) < x) ∧ (x < (q:ℝ)))
:=
begin
let rat_basis := (⋃ (a b : ℚ) (h : a < b), {set.Ioo ↑a ↑b}),
begin
intros,
have A1:topological_space.is_topological_basis rat_basis,
{
apply real.is_topological_basis_Ioo_rat,
},
have A2: (b ∈ nhds x ↔ ∃ (t : set real) (H : t ∈ rat_basis), x ∈ t ∧ t ⊆ b),
{
apply @topological_space.mem_nhds_of_is_topological_basis,
apply A1,
},
have A3: (∃ (t : set real) (H : t ∈ rat_basis), x ∈ t ∧ t ⊆ b),
{
apply A2.mp,
apply a,
},
/-
Now that we have proven A3, we are basically done. We just rewrite A3
into the statement of the theorem.
-/
cases A3,
cases A3_h,
simp at A3_h_w,
cases A3_h_w,
cases A3_h_w_h,
cases A3_h_w_h_h,
subst A3_w,
cases A3_h_h,
apply exists.intro A3_h_w_w,
apply exists.intro A3_h_w_h_w,
unfold set.Ioo at A3_h_h_left,
simp at A3_h_h_left,
cases A3_h_h_left,
split,
{
assumption,
},
split,
{
assumption,
},
split,
{
assumption,
},
{
assumption,
},
end
end
------ Move theorems here to where they belong -----------------------------------
lemma induced_topological_basis {α β:Type*} [Tα:topological_space α]
[Tβ:topological_space β]
{f:α → β} {S:set (set β)}:(inducing f) →
(topological_space.is_topological_basis S) →
(topological_space.is_topological_basis (set.image (set.preimage f) S)) :=
begin
intros A1 A2,
rw A1.induced,
unfold topological_space.is_topological_basis,
split,
{
intros t₁ A3 t₂ A4 x A5,
cases A3 with u₁ A3,
cases A4 with u₂ A4,
cases A5 with A6 A7,
cases A3 with A8 A9,
cases A4 with A10 A11,
subst t₁,
subst t₂,
simp at A6,
simp at A7,
have A12:f x ∈ u₁ ∩ u₂,
{
simp,
apply and.intro A6 A7,
},
unfold topological_space.is_topological_basis at A2,
have A13 := A2.left u₁ A8 u₂ A10 (f x) A12,
cases A13 with u₃ A13,
cases A13 with A14 A15,
cases A15 with A16 A17,
apply exists.intro (f ⁻¹' u₃),
have A18:f ⁻¹' u₃ ∈ set.preimage f '' S,
{
simp,
apply exists.intro u₃,
split,
apply A14,
refl,
},
apply exists.intro A18,
split,
apply A16,
{
rw set.subset_inter_iff at A17,
apply set.subset_inter;apply set.preimage_mono,
apply A17.left,
apply A17.right,
},
},
split,
{
ext a,split;intro A3;simp,
unfold topological_space.is_topological_basis at A2,
have A4:f a ∈ ⋃₀ S,
{
rw A2.right.left,
simp,
},
cases A4 with X A5,
cases A5 with A6 A7,
apply exists.intro X,
apply and.intro A6 A7,
},
{
unfold topological_space.is_topological_basis at A2,
have A3 := A2.right.right,
rw A3,
apply induced_generate_from_eq,
}
end
lemma nnreal_topological_space_def:
nnreal.topological_space = @topological_space.induced nnreal real
(@coe nnreal real _) (@uniform_space.to_topological_space real _) := rfl
lemma inducing_nnreal_topological_space:
inducing (@coe nnreal real _) := {
induced := nnreal_topological_space_def,
}
lemma nnreal_nhds {x:nnreal}:
nhds x = filter.comap (@coe nnreal real _) (nhds x.val) :=
begin
apply inducing.nhds_eq_comap,
apply inducing_nnreal_topological_space,
end
lemma nnreal_nhds2 {x:nnreal} {B:set nnreal}:
B ∈ nhds x ↔
(∃ C∈ nhds (x.val),set.preimage (@coe nnreal real _) C⊆ B) :=
begin
rw nnreal_nhds,
apply filter.mem_comap_sets,
end
lemma coe_nnreal_real_val:(@coe nnreal real _) = subtype.val := rfl
lemma mem_nhds_elim_real {b:set real} {x:real}: b∈ nhds x →
(∃ p q:ℝ, (p < q) ∧ ((set.Ioo p q) ⊆ b) ∧ (p < x) ∧ (x < q))
:=
begin
intros,
have A1:(∃ prat qrat:ℚ, (prat < qrat) ∧ ((set.Ioo prat qrat:set ℝ) ⊆ b) ∧ ((prat:ℝ) < x) ∧ (x < (qrat:ℝ))),
{
apply mem_nhds_elim_real_rat,
apply a,
},
cases A1,
cases A1_h,
cases A1_h_h,
cases A1_h_h_right,
cases A1_h_h_right_right,
apply exists.intro (A1_w:ℝ),
apply exists.intro (A1_h_w:ℝ),
split,
{
apply (@rat.cast_lt real _ A1_w A1_h_w).mpr,
apply A1_h_h_left,
},
{
split,
{
assumption,
},
split,
{
apply A1_h_h_right_right_left,
},
{
apply A1_h_h_right_right_right,
}
},
end
lemma mem_nhds_elim_nnreal {b:set nnreal} {x:nnreal}: b∈ nhds x →
(∃ p q:ℝ, (p < q) ∧
(set.preimage (@coe nnreal real _) (set.Ioo p q) ⊆ b) ∧
(p < ↑x) ∧ (↑x < q))
:=
begin
intro A1,
rw nnreal_nhds2 at A1,
cases A1 with C A1,
cases A1 with A2 A3,
have A4 := mem_nhds_elim_real A2,
cases A4 with p A4,
cases A4 with q A4,
cases A4 with A5 A6,
cases A6 with A7 A8,
--cases A8 with A9 A10,
apply exists.intro p,
apply exists.intro q,
split,
apply A5,
split,
apply set.subset.trans,
{
apply set.preimage_mono,
apply A7,
},
{
apply A3,
},
apply A8,
end
lemma preimage_coe_Ioo {p q:ℝ}:(p < 0) → (0 ≤ q) →
set.preimage (@coe nnreal real _) (set.Ioo p q) = set.Iio (nnreal.of_real q) :=
begin
intro A1,
intro A2,
unfold set.Ioo set.Iio,
ext,split;intro A3;simp at A3;simp,
{
cases A3 with A4 A5,
rw ← nnreal.coe_lt_coe,
rw nnreal.coe_of_real,
apply A5,
apply A2,
},
{
split,
{
apply lt_of_lt_of_le,
apply A1,
apply x.property,
},
{
rw ← nnreal.coe_of_real q,
rw nnreal.coe_lt_coe,
apply A3,
apply A2,
},
},
end
lemma preimage_coe_Ioo2 {p q:ℝ}:(0 ≤ p) → (p < q) →
set.preimage (@coe nnreal real _) (set.Ioo p q) = set.Ioo (nnreal.of_real p) (nnreal.of_real q) :=
begin
intro A1,
intro A2,
have B1:0 ≤ q,
{
apply le_trans,
apply A1,
apply le_of_lt,
apply A2,
},
unfold set.Ioo,
ext,split;intro A3;simp at A3;simp,
{
cases A3 with A4 A5,
split;rw ← nnreal.coe_lt_coe;rw nnreal.coe_of_real,
apply A4,
apply A1,
apply A5,
apply B1,
},
{
cases A3 with A4 A5,
split,
{
rw ← nnreal.coe_of_real p,
rw nnreal.coe_lt_coe,
apply A4,
apply A1,
},
{
rw ← nnreal.coe_of_real q,
rw nnreal.coe_lt_coe,
apply A5,
apply B1,
},
},
end
lemma mem_nhds_elim_nnreal2 {b:set nnreal} {x:nnreal}:x ≠ 0 → b∈ nhds x →
(∃ p q:nnreal, (p < q) ∧
((set.Ioo p q) ⊆ b) ∧
(p < x) ∧ (x < q))
:=
begin
intros A1 A2,
have A3 := mem_nhds_elim_nnreal A2,
cases A3 with p A3,
cases A3 with q A3,
cases A3 with A4 A5,
cases A5 with A6 A7,
cases A7 with A8 A9,
have A10:p < 0 ∨ 0 ≤ p := lt_or_le p 0,
have A11:0 < x := bot_lt_iff_ne_bot.mpr A1,
have A12:(@coe nnreal real _ 0) = (0:real) := rfl,
have A13:x.val = (@coe nnreal real _ x) := rfl,
have A14:0 < x.val,
{
rw A13,
rw ← A12,
rw nnreal.coe_lt_coe,
apply A11,
},
have A15:0 ≤ q,
{
apply le_trans,
apply x.property,
apply le_of_lt,
apply A9,
},
have A16:x < nnreal.of_real q,
{
rw ← nnreal.coe_lt_coe,
rw nnreal.coe_of_real,
apply A9,
apply A15,
},
cases A10,
{
apply exists.intro (0:nnreal),
apply exists.intro (nnreal.of_real q),
split,
{
rw ← nnreal.coe_lt_coe,
rw A12,
apply lt_trans,
apply A14,
rw A13,
apply lt_of_lt_of_le,
apply A9,
rw nnreal.coe_of_real,
apply A15,
},
split,
{
have B2:set.Ioo 0 (nnreal.of_real q) ⊆
(set.preimage (@coe nnreal real _) (set.Ioo p q)),
{
rw preimage_coe_Ioo,
rw set.subset_def,
intros y B2A,
unfold set.Iio,
unfold set.Ioo at B2A,
simp at B2A,
simp,
apply B2A.right,
apply A10,
apply A15,
},
apply set.subset.trans B2 A6,
},
split,
{
apply A11,
},
{
apply A16,
},
},
{
apply exists.intro (nnreal.of_real p),
apply exists.intro (nnreal.of_real q),
have B1:nnreal.of_real p < x,
{
rw ← nnreal.coe_lt_coe,
rw nnreal.coe_of_real,
apply A8,
apply A10,
},
split,
{
apply lt_trans B1 A16,
},
split,
{
rw ← preimage_coe_Ioo2,
apply A6,
apply A10,
apply A4,
},
split,
{
apply B1,
},
{
apply A16,
},
},
end
lemma mem_nhds_elim_real_bound (b:set real) (x:real): b∈ nhds x →
(∃ r>0, (set.Ioo (x-r) (x+r)) ⊆ b)
:=
begin
intros,
have A1:(∃ p q:ℝ, (p < q) ∧ ((set.Ioo p q) ⊆ b) ∧ (p < x) ∧ (x < q)),
{
apply mem_nhds_elim_real,
apply a,
},
cases A1,
cases A1_h,
cases A1_h_h,
cases A1_h_h_right,
cases A1_h_h_right_right,
let r := min (x - A1_w) (A1_h_w -x),
begin
apply exists.intro r,
have A2:r>0,
{
apply lt_min,
{
apply (@lt_sub real _ 0 x A1_w).mpr,
simp,
assumption,
},
{
apply (@lt_sub real _ 0 A1_h_w x).mpr,
simp,
assumption,
}
},
apply exists.intro A2,
have A3:set.Ioo (x-r) (x+r) ⊆ set.Ioo A1_w A1_h_w,
{
unfold set.Ioo,
simp,
intros,
split,
{
apply lt_of_le_of_lt,
show x - r < a_1,
{
assumption,
},
{
have A4:r <= x - A1_w,
apply min_le_left,
apply (@le_sub real _ r x A1_w).mp,
assumption,
}
},
{
apply lt_of_lt_of_le,
{
apply a_3,
},
{ -- prove x + r ≤ A1_h_w
have A6:r <= A1_h_w - x,
apply min_le_right,
--rw A7,
apply (@le_neg_add_iff_add_le real _ x r A1_h_w).mp,
have A7:((-x)+A1_h_w=A1_h_w-x),
{
apply real.decidable_linear_ordered_comm_ring.add_comm,
},
rw A7,
assumption,
}
},
},
apply set.subset.trans,
apply A3,
assumption,
end
end
lemma nnreal_sub_le_sub_of_le2 {a b c:nnreal}:a ≤ b → a - c ≤ b - c :=
begin
intro A1,
have A2:(c ≤ a) ∨ (a ≤ c) := le_total c a,
cases A2,
{
rw ← add_le_add_iff_right c,
rw nnreal.sub_add_cancel_of_le A2,
rw nnreal.sub_add_cancel_of_le (le_trans A2 A1),
apply A1,
},
{
rw nnreal.sub_eq_zero A2,
apply bot_le,
},
end
lemma nnreal_le_sub_of_le_sub_of_le {p x r:nnreal}:p ≤ x → r ≤ x - p → p ≤ x - r :=
begin
intros A1 A2,
rw ← add_le_add_iff_right p at A2,
rw nnreal.sub_add_cancel_of_le A1 at A2,
have A3:(r + p) - r ≤ x - r := nnreal_sub_le_sub_of_le2 A2,
rw add_comm r p at A3,
rw nnreal.add_sub_cancel at A3,
apply A3,
end
--TODO: remove dependence on x≠0
lemma mem_nhds_elim_nnreal_bound (b:set nnreal) (x:nnreal):x ≠ 0 → b∈ nhds x →
(∃ r>0, (set.Ioo (x-r) (x+r)) ⊆ b)
:=
begin
intros AX a,
have A1:(∃ p q:nnreal, (p < q) ∧ ((set.Ioo p q) ⊆ b) ∧ (p < x) ∧ (x < q)),
{
apply mem_nhds_elim_nnreal2,
apply AX,
apply a,
},
cases A1 with p A1,
cases A1 with q A1,
cases A1 with B1 B2,
cases B2 with B2 B3,
cases B3 with B3 B4,
let r := min (x - p) (q -x),
begin
apply exists.intro r,
have A2:r>0,
{
apply lt_min;rw nnreal.sub_pos,
{
apply B3,
},
{
apply B4,
}
},
apply exists.intro A2,
have A3:set.Ioo (x-r) (x+r) ⊆ set.Ioo p q,
{
apply set.Ioo_subset_Ioo,
{
have A4:r <= x - p := min_le_left (x-p) (q - x),
apply nnreal_le_sub_of_le_sub_of_le (le_of_lt B3) A4,
},
{
have A4:r <= q - x := min_le_right (x-p) (q - x),
rw ← add_le_add_iff_left x at A4,
apply le_trans A4,
rw add_comm x,
rw nnreal.sub_add_cancel_of_le (le_of_lt B4),
},
},
apply set.subset.trans,
apply A3,
assumption,
end
end
--This is filter.at_top_def
lemma filter_at_top_def3 {α:Type*} [preorder α]:
filter.at_top = ⨅ a:α, filter.principal {b | a ≤ b} := rfl
lemma filter_at_top_def (α:Type*):
(@filter.at_top (finset α) _)= ⨅ (a:(finset α)),
filter.principal {b:finset α | a⊆ b} := rfl
--This is (roughly) filter.at_top_mem_sets
lemma mem_filter_at_top_def2 {α:Type*} [SL:semilattice_sup_bot α] {S:set α}:
(S∈ @filter.at_top α _)↔
(∃ a:α, {b:α|a ≤ b}⊆ S) :=
begin
have B1:order_bot α := semilattice_sup_bot.to_order_bot α,
have B2:has_bot α := order_bot.to_has_bot α,
rw filter_at_top_def3,
unfold infi,
have A1:(∀ X Y:filter α,
X ∈ (set.range (λ (a :α), filter.principal {b : α | a ≤ b})) →
Y ∈ (set.range (λ (a : α), filter.principal {b : α | a ≤ b})) →
X ⊓ Y ∈ (set.range (λ (a : α), filter.principal {b : α | a ≤ b}))),
{
intros,
simp at a,
cases a,
subst X,
simp at a_1,
cases a_1,
subst Y,
--simp,
apply exists.intro (a_w ⊔ a_1_w),
symmetry,
apply principal_inf_sets2,
},
have A2:filter.principal {b : α | ⊥ ≤ b} ∈
(set.range (λ (a : α), filter.principal {b : α | a ≤ b})),
{
rw set.mem_range,
apply exists.intro ⊥,
refl,
},
have A3:(S ∈ Inf (set.range (λ (a : α), filter.principal {b : α | a ≤ b})))↔
(∃ t∈ (set.range (λ (a : α), filter.principal {b : α | a ≤ b})), S∈ t),
{
apply (@Inf_filter_def (α)
(set.range (λ (a : α), filter.principal {b : α | a ≤ b}))
(filter.principal {b : α | ⊥ ≤ b})
A2
A1
),
},
apply iff.trans,
apply A3,
split;intros,
{
cases a,
cases a_h,
simp at a_h_w,
cases a_h_w,
apply exists.intro a_h_w_w,
simp,
subst a_w,
simp at a_h_h,
exact a_h_h,
},
{
cases a,
apply exists.intro (filter.principal {b : α | a_w ≤ b}),
have A4:filter.principal {b : α | a_w ≤ b} ∈
set.range (λ (a : α), filter.principal {b : α | a ≤ b}),
{
simp,
},
apply exists.intro A4,
apply a_h,
}
end
lemma filter_at_top_def2 (α:Type*) [decidable_eq α] (S:set (finset α)):
(S∈ @filter.at_top (finset α) _)↔
(∃ a:finset α, {b:finset α|a ≤ b}⊆ S) :=
begin
apply mem_filter_at_top_def2,
end
--See alternatives below.
lemma filter_at_top_intro {α:Type*} (b:set (finset α)) (c:finset α):
(b∈ (filter.principal {d:finset α |c ≤ d} )) →
(b ∈ (@filter.at_top (finset α) _)) :=
begin
intros,
rw filter_at_top_def,
unfold infi,
apply Inf_le_simp,
{
have A1:(filter.principal {d:finset α |c ≤ d} ) ∈
set.range (λ (a : finset α), filter.principal {b : finset α | a ⊆ b}),
{
unfold set.range,
simp,
},
apply A1,
},
{
assumption,
}
end
lemma filter_at_top_elim {α:Type*} [decidable_eq α] {S:set (finset α)} :
(S ∈ (@filter.at_top (finset α) _))→
(∃ a:(finset α), {b:finset α|a ≤ b}⊆ S) :=
begin
apply (filter_at_top_def2 α S).mp,
end
lemma filter_at_top_intro2 {α:Type*} (b:set (finset α)) (c:finset α):
({d:finset α |c ≤ d} ⊆ b) →
(b ∈ (@filter.at_top (finset α) _)) :=
begin
intros,
have A1:b∈ filter.principal {d:finset α |c ≤ d},
{
unfold filter.principal,
simp,
apply a,
},
apply filter_at_top_intro,
apply A1,
end
lemma filter_contains_preimage_superset (α β:Type) (B:filter β) (S T:set α) (f:β → α):
(S⊆ T)→ ({x:β |f x ∈ S}∈ B) → ({x:β |f x ∈ T}∈ B) :=
begin
intros,
have A1:{x:β |f x ∈ S} ⊆ {x:β |f x ∈ T},
{
apply set.preimage_mono,
assumption,
},
apply B.sets_of_superset,
apply a_1,
assumption,
end
lemma filter_at_top_intro3 {α β:Type*} (c:finset α) (S:set β) (f:finset α → β):
(∀ d ≥ c, f d ∈ S) →
({x:finset α|f x∈ S} ∈ (@filter.at_top (finset α) _)) :=
begin
intros,
have A1:({d:finset α |c ≤ d} ⊆ {x:finset α|f x∈ S}),
{
rw set.subset_def,
intros,
simp,
simp at a_1,
apply a,
apply a_1,
},
apply filter_at_top_intro2,
apply A1,
end
lemma mem_filter_at_top_intro {α:Type*} [P:semilattice_sup_bot α] {S:set α} {x:α}:
{y|x≤ y}⊆ S →
S∈ (@filter.at_top α _) :=
begin
intro A1,
rw mem_filter_at_top_def2,
apply exists.intro x,
apply A1,
end
lemma mem_filter_at_top_elim {α:Type*} [P:semilattice_sup_bot α] {S:set α} :
(S ∈ (@filter.at_top α _))→
(∃ a:α, {b:α|a ≤ b}⊆ S) :=
begin
apply (mem_filter_at_top_def2).mp,
end
lemma in_own_Ioo {x ε:ℝ}:(0 < ε)→ x ∈ set.Ioo (x -ε) (x + ε) :=
begin
apply x_in_Ioo,
end
/-
Unused.
-/
lemma mem_nhds_elim_helper (b:set nnreal) (x:nnreal) (s:set nnreal)
(H2 : s ∈ {s : set nnreal | x ∈ s ∧ is_open s}):
(set.range (λ (H : s ∈ {s : set nnreal | x ∈ s ∧ is_open s}), filter.principal s))
= {x:filter nnreal| x=filter.principal s}
:=
begin
unfold set.range,
simp,
ext,
split,
{
simp,
intros,
symmetry,
exact a_2,
},
{
simp,
intros,
split,
{
apply H2,
},
{
symmetry,
exact a,
}
}
end
lemma lim_Inf_filter_empty (α:Type*):
(@Inf (filter α) _ ∅) = ⊤ :=
begin
simp,
end
lemma set_in_lattice_infih (α:Type*) (s:set α) (S:set (set α))
(H2 : s ∉ S):
(set.range (λ (H : s ∈ S), filter.principal s)) = ∅
:=
begin
unfold set.range,
simp,
rw set.eq_empty_iff_forall_not_mem,
intros F,
simp,
intros B1 B2,
apply H2,
apply B1
end
lemma set_in_lattice_infih2 (α:Type*) (s:set α) (S:set (set α))
(H2 : s ∈ S):
(set.range (λ (H : s ∈ S), filter.principal s))
= {filter.principal s}
:=
begin
unfold set.range,
simp,
ext,
split,
{
simp,
intros,
symmetry,
exact a_1,
},
{
simp,
intros,
split,
{
apply H2,
},
{
symmetry,
exact a,
}
}
end
lemma lower_bounds_top (α:Type*) (S:set (filter α)):lower_bounds S = lower_bounds (S ∪ {⊤}) :=
begin
ext,
unfold lower_bounds,
split;intros;simp;simp at a;intros,
{
cases a_2,
{
rw a_2,
simp,
},
{
apply a,
apply a_2,
}
},
{
apply a,
right,
apply a_2,
}
end
lemma Inf_union_top (α:Type*) (S:set (filter α)):
Inf (S∪ {⊤}) = Inf S :=
begin
have A2:is_glb S (Inf S),
{
apply is_glb_Inf,
},
have A3:is_glb (S∪ {⊤}) (Inf S),
{
cases A2,
split,
{
rw ← lower_bounds_top,
exact A2_left,
},
{
rw ← lower_bounds_top,
exact A2_right,
}
},
apply is_glb.Inf_eq A3,
end
/-
If we unfold infi in nhds, we get a doubly-nested Infimum that is hard to
work with. This rewrites it more simply.
-/
lemma set_in_lattice_infi (α:Type*) (S:set (set α)):
(⨅ (s∈ S), (filter.principal s)) = Inf (set.image (filter.principal) S) :=
begin
unfold infi,
rw (set.range_eq_image_compl (set α) _ S),
have A1:(λ (s : set α), Inf (set.range (λ (H : s ∈ S), filter.principal s))) '' (S)ᶜ =
(λ (s : set α), ⊤) '' Sᶜ,
{
rw set.image_congr,
intros,
have A1AA:set.range (λ (H : a ∈ S), filter.principal a) = ∅,
{
apply set_in_lattice_infih,
apply H,
},
rw A1AA,
rw lim_Inf_filter_empty,
},
rw A1,
have A2:(λ (s : set α), Inf (set.range (λ (H : s ∈ S), filter.principal s))) '' (S) =
(λ (s : set α), filter.principal s) '' S,
{
rw set.image_congr,
intros,
have A2A:set.range (λ (H : a ∈ S), filter.principal a) = {filter.principal a},
{
apply set_in_lattice_infih2,
apply H,
},
rw A2A,
simp,
},
rw A2,
have A4:(Sᶜ = ∅)∨ set.nonempty Sᶜ,
{
apply set.eq_empty_or_nonempty,
},
cases A4,
{
rw A4,
simp,
},
{
rw set.nonempty_def at A4,
cases A4,
have A4A:∀ k:filter α,(λ (s : set α), k) '' Sᶜ = {k},
{
intros,
ext,
split;intros,
{
cases a,
cases a_h,
simp at a_h_right,
rw a_h_right,
apply (set.mem_singleton),
},
{
split,
{
split,
apply A4_h,
simp,
simp at a,
rw a,
}
}
},
have A4B:(λ (s : set α), ⊤) '' Sᶜ = {⊤},
{
apply (A4A ⊤),
},
rw A4B,
apply Inf_union_top,
}
end
lemma open_nhds_inter
(α:Type*) [topological_space α] (x:α) (A B:set α):
(A∈ {s:set α|x∈ s∧ is_open s}) →
(B∈ {s:set α|x∈ s∧ is_open s}) →
((A∩ B) ∈ {s:set α|x∈ s∧ is_open s}) :=
begin
intros,
cases a,
cases a_1,
split,
{
split;assumption,
},
{
apply is_open_inter;assumption,
},
end
/-
lemma Inf_filter_def (α:Type) (S : set (filter α))
(b:filter α) (H:b∈ S)
(H2:∀ a b:filter α, a∈ S→ b∈ S→ a⊓b∈ S) (s:set α):
(s ∈ Inf S)↔ (∃ t∈ S, s∈ t) :=
-/
lemma nhds_def1 (α:Type*) [topological_space α] (x:α):
nhds x = Inf (set.image (filter.principal) {S:set α|x∈ S ∧ is_open S}) :=
begin
unfold nhds,
unfold infi,
apply set_in_lattice_infi,
end
/-
This holds for an arbitrary topology.
See @mem_nhds_sets_iff
-/
lemma mem_nhds_intro_real2 {b U:set real} {x:real}:
x∈ U →
is_open U →
U ⊆ b →
b∈ nhds x :=
begin
intros A1 A2 A3,
rw nhds_def1,
have A4:b∈ filter.principal U,
{
apply filter_principal_intro3,
apply A3,
},
apply mem_Inf_intro A4,
{
simp,
split;assumption,
},
end
/- This holds for a (closed) order topology (I think) -/
lemma mem_nhds_intro_real (b:set real) (x y z:real):
x∈ set.Ioo y z →
set.Ioo y z ⊆ b →
b∈ nhds x :=
begin
intros A1 A2,
apply mem_nhds_intro_real2 A1 _ A2,
apply @is_open_Ioo ℝ _ _ _ y z,
end
lemma mem_nhds_filter_principal_intro (α:Type*) [topological_space α] (x:α) (V:set α):
V∈ {S:set α|x∈ S ∧ is_open S}→ filter.principal V ∈ (set.image (filter.principal) {S:set α|x∈ S ∧ is_open S}) :=
begin
intros,
simp,
apply a,
end
lemma mem_nhds_filter_principal_elim (α:Type*) [topological_space α] (x:α) (V:set α):
filter.principal V ∈ (set.image (filter.principal) {S:set α|x∈ S ∧ is_open S}) →
V∈ {S:set α|x∈ S ∧ is_open S} :=
begin
intros,
simp at a,
apply a,
end
lemma mem_nhds_filter_principal_elim2 (α:Type*) [topological_space α] (x:α) (Z:filter α):
Z ∈ (set.image (filter.principal) {S:set α|x∈ S ∧ is_open S}) →
(∃ V:set α, V∈ {S:set α|x∈ S ∧ is_open S} ∧ filter.principal V = Z) :=
begin
intros,
simp at a,
apply a,
end
lemma has_open_neighborhood (α:Type*) [topological_space α] (x:α):∃ U:set α, x∈ U ∧ is_open U :=
begin
apply exists.intro set.univ,
split,
{
simp,
},
{
apply topological_space.is_open_univ,
}
end
lemma nhds_def2 (α:Type*) [topological_space α] (x:α) (S:set α):
S ∈ nhds x ↔
(∃ u:set α, (u⊆ S) ∧ is_open u ∧ (x∈ u)) :=
begin
rw nhds_def1,
have H:∃ U:set α, x∈ U ∧ is_open U,
apply has_open_neighborhood,
cases H,
cases H_h,
apply iff.trans,
{
apply Inf_filter_def,
{
apply mem_nhds_filter_principal_intro,
simp,
split,
{
apply H_h_left,
},
{
apply H_h_right,
}
},
{
intros,
have A1:(∃ V:set α, V∈ {S:set α|x∈ S ∧ is_open S} ∧ filter.principal V = a),
{
apply mem_nhds_filter_principal_elim2,
apply a_1,
},
cases A1,
cases A1_h,
subst a,
have A2:(∃ V:set α, V∈ {S:set α|x∈ S ∧ is_open S} ∧ filter.principal V = b),
{
apply mem_nhds_filter_principal_elim2,
apply a_2,
},
cases A2,
cases A2_h,
subst b,
have A3:((A1_w ∩ A2_w) ∈ {s:set α|x∈ s∧ is_open s}),
{
apply open_nhds_inter;assumption,
},
rw principal_inf,
split,
{
split,
{
apply A3,
},
{
refl,
}
}
}
},
{
split;intros,
{
cases a,
cases a_h,
have A4:(∃ V:set α, V∈ {S:set α|x∈ S ∧ is_open S} ∧ filter.principal V = a_w),
{
apply mem_nhds_filter_principal_elim2,
apply a_h_w,
},
cases A4,
cases A4_h,
subst a_w,
apply exists.intro A4_w,
cases A4_h_left,
split,
{
assumption,
},
split;assumption,
},
{
cases a,
cases a_h,
cases a_h_right,
apply exists.intro (filter.principal a_w),
{
have A5:filter.principal a_w ∈ filter.principal '' {S : set α | x ∈ S ∧ is_open S},
{
apply mem_nhds_filter_principal_intro,
split;assumption,
},
apply exists.intro A5,
apply filter_principal_intro3,
assumption,
}
}
}
end
lemma nhds_contain_point (α:Type*) [topological_space α] (x:α) (S:set α):
S ∈ nhds x → x∈ S :=
begin
intros,
have A1:(∃ u:set α, (u⊆ S) ∧ is_open u ∧ (x∈ u)),
{
apply (nhds_def2 α x S).mp a,
},
cases A1,
cases A1_h,
rw set.subset_def at A1_h_left,
apply A1_h_left,
apply A1_h_right.right,
end
lemma Ioo_nbhd {x ε:ℝ}:(0 < ε)→ set.Ioo (x -ε) (x + ε) ∈ nhds x :=
begin
intro A1,
apply mem_nhds_intro_real,
apply in_own_Ioo A1,
apply set.subset.refl,
end
--Remove dependency on not equal to zero.
lemma set_Ioo_in_nhds_of_ne_zero {x:nnreal} {ε:nnreal}:x ≠ 0 → ε >0 → set.Ioo (x - ε) (x + ε) ∈ nhds x :=
begin
intros A1 A2,
rw @mem_nhds_sets_iff,
-- have A3:(ε≤x) ∨ (x < ε) := le_or_lt ε x,
apply exists.intro (set.Ioo (x - ε) (x + ε)),
split,
apply @complete_lattice.le_refl (set nnreal) (@set.lattice_set nnreal),
split,
apply is_open_Ioo,
simp,
split,
{
apply nnreal.sub_lt_self,
{
apply bot_lt_iff_ne_bot.mpr,
apply A1,
},
{
apply A2,
},
},
{
apply A2,
},
end
--TODO: remove dependence on x ≠ 0
lemma set_Iio_in_nhds_of_lt {x y:nnreal}:x ≠ 0 → x < y → set.Iio y ∈ nhds x :=
begin
intros AX A1,
rw @mem_nhds_sets_iff,
apply exists.intro (set.Ioo 0 y),
split,
{
apply set.Ioo_subset_Iio_self,
},
split,
{
apply is_open_Ioo,
},
simp,
split,
{
apply bot_lt_iff_ne_bot.mpr,
apply AX,
},
{
apply A1,
},
end
|
54d3e74ceaab5b1fb923e8f809f7ee9893157ee6 | 947fa6c38e48771ae886239b4edce6db6e18d0fb | /src/algebra/order/monoid_lemmas_zero_lt.lean | 43d34ab2c1309870429eda53c5c9571bd06ef0e5 | [
"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 | 49,974 | lean | /-
Copyright (c) 2022 Damiano Testa. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Damiano Testa, Yuyang Zhao
-/
import algebra.covariant_and_contravariant
import algebra.group_with_zero.defs
/-!
# Multiplication by ·positive· elements is monotonic
Let `α` be a type with `<` and `0`. We use the type `{x : α // 0 < x}` of positive elements of `α`
to prove results about monotonicity of multiplication. We also introduce the local notation `α>0`
for the subtype `{x : α // 0 < x}`:
* the notation `α>0` to stands for `{x : α // 0 < x}`.
If the type `α` also has a multiplication, then we combine this with (`contravariant_`)
`covariant_class`es to assume that multiplication by positive elements is (strictly) monotone on a
`mul_zero_class`, `monoid_with_zero`,...
More specifically, we use extensively the following typeclasses:
* monotone left
* * `covariant_class α>0 α (λ x y, x * y) (≤)`, abbreviated `pos_mul_mono α`,
expressing that multiplication by positive elements on the left is monotone;
* * `covariant_class α>0 α (λ x y, x * y) (<)`, abbreviated `pos_mul_strict_mono α`,
expressing that multiplication by positive elements on the left is strictly monotone;
* monotone right
* * `covariant_class α>0 α (λ x y, y * x) (≤)`, abbreviated `mul_pos_mono α`,
expressing that multiplication by positive elements on the right is monotone;
* * `covariant_class α>0 α (λ x y, y * x) (<)`, abbreviated `mul_pos_strict_mono α`,
expressing that multiplication by positive elements on the right is strictly monotone.
* reverse monotone left
* * `contravariant_class α>0 α (λ x y, x * y) (≤)`, abbreviated `pos_mul_mono_rev α`,
expressing that multiplication by positive elements on the left is reverse monotone;
* * `contravariant_class α>0 α (λ x y, x * y) (<)`, abbreviated `pos_mul_reflect_lt α`,
expressing that multiplication by positive elements on the left is strictly reverse monotone;
* reverse reverse monotone right
* * `contravariant_class α>0 α (λ x y, y * x) (≤)`, abbreviated `mul_pos_mono_rev α`,
expressing that multiplication by positive elements on the right is reverse monotone;
* * `contravariant_class α>0 α (λ x y, y * x) (<)`, abbreviated `mul_pos_reflect_lt α`,
expressing that multiplication by positive elements on the right is strictly reverse monotone.
## Formalization comments
We use `α>0 = {x : α // 0 < x}` with a strict inequality since in most cases what happens with `0`
is clear. This creates a few bumps in the first couple of proofs, where we have to split cases on
whether an element is `0` or not, but goes smoothly after that. A further advantage is that we
only introduce notation for the positive elements and we do not need also the non-negative ones.
Some lemmas for `partial_order` also have a variant for `preorder`, where the `preorder` version has
stronger hypotheses. In this case we put the `preorder` lemma in the `preorder` namespace.
-/
/- I am changing the file `algebra/order/monoid_lemmas` incrementally, with the idea of
reproducing almost all of the proofs in `algebra/order/ring` with weaker assumptions. -/
universe u
variable {α : Type u}
/- Notation for positive elements
https://
leanprover.zulipchat.com/#narrow/stream/113488-general/topic/notation.20for.20positive.20elements
-/
local notation `α>0` := {x : α // 0 < x}
namespace zero_lt
section abbreviations_strict_mono
variables (X : Type u) [has_mul X] [has_zero X] [has_lt X]
/-- `zero_lt.pos_mul_strict_mono α` is an abbreviation for
`covariant_class α>0 α (λ x y, x * y) (<)`,
expressing that multiplication by positive elements on the left is strictly monotone. -/
abbreviation pos_mul_strict_mono : Prop :=
covariant_class {x : X // 0 < x} X (λ x y, x * y) (<)
/-- `zero_lt.mul_pos_strict_mono α` is an abbreviation for
`covariant_class α>0 α (λ x y, y * x) (<)`,
expressing that multiplication by positive elements on the right is strictly monotone. -/
abbreviation mul_pos_strict_mono : Prop :=
covariant_class {x : X // 0 < x} X (λ x y, y * x) (<)
/-- `zero_lt.pos_mul_reflect_lt α` is an abbreviation for
`contravariant_class α>0 α (λ x y, x * y) (<)`,
expressing that multiplication by positive elements on the left is strictly reverse monotone. -/
abbreviation pos_mul_reflect_lt : Prop :=
contravariant_class {x : X // 0 < x} X (λ x y, x * y) (<)
/-- `zero_lt.mul_pos_reflect_lt α` is an abbreviation for
`contravariant_class α>0 α (λ x y, y * x) (<)`,
expressing that multiplication by positive elements on the right is strictly reverse monotone. -/
abbreviation mul_pos_reflect_lt : Prop :=
contravariant_class {x : X // 0 < x} X (λ x y, y * x) (<)
end abbreviations_strict_mono
section abbreviations_mono
variables (X : Type*) [has_mul X] [has_zero X] [has_lt X] [has_le X]
/-- `zero_lt.pos_mul_mono α` is an abbreviation for
`covariant_class α>0 α (λ x y, x * y) (≤)`,
expressing that multiplication by positive elements on the left is monotone. -/
abbreviation pos_mul_mono : Prop :=
covariant_class {x : X // 0 < x} X (λ x y, x * y) (≤)
/-- `zero_lt.mul_pos_mono α` is an abbreviation for
`covariant_class α>0 α (λ x y, y * x) (≤)`,
expressing that multiplication by positive elements on the right is monotone. -/
abbreviation mul_pos_mono : Prop :=
covariant_class {x : X // 0 < x} X (λ x y, y * x) (≤)
/-- `zero_lt.pos_mul_mono_rev α` is an abbreviation for
`contravariant_class α>0 α (λ x y, x * y) (≤)`,
expressing that multiplication by positive elements on the left is reverse monotone. -/
abbreviation pos_mul_mono_rev : Prop :=
contravariant_class {x : X // 0 < x} X (λ x y, x * y) (≤)
/-- `zero_lt.mul_pos_mono_rev α` is an abbreviation for
`contravariant_class α>0 α (λ x y, y * x) (≤)`,
expressing that multiplication by positive elements on the right is reverse monotone. -/
abbreviation mul_pos_mono_rev : Prop :=
contravariant_class {x : X // 0 < x} X (λ x y, y * x) (≤)
end abbreviations_mono
variables {a b c d : α}
section has_mul_zero
variables [has_mul α] [has_zero α]
section has_lt
variables [has_lt α]
lemma mul_lt_mul_left [pos_mul_strict_mono α]
(bc : b < c) (a0 : 0 < a) :
a * b < a * c :=
@covariant_class.elim α>0 α (λ x y, x * y) (<) _ ⟨a, a0⟩ _ _ bc
lemma mul_lt_mul_right [mul_pos_strict_mono α]
(bc : b < c) (a0 : 0 < a) :
b * a < c * a :=
@covariant_class.elim α>0 α (λ x y, y * x) (<) _ ⟨a, a0⟩ _ _ bc
-- proven with `a0 : 0 ≤ a` as `lt_of_mul_lt_mul_left`
lemma lt_of_mul_lt_mul_left' [pos_mul_reflect_lt α]
(bc : a * b < a * c) (a0 : 0 < a) :
b < c :=
@contravariant_class.elim α>0 α (λ x y, x * y) (<) _ ⟨a, a0⟩ _ _ bc
-- proven with `a0 : 0 ≤ a` as `lt_of_mul_lt_mul_right`
lemma lt_of_mul_lt_mul_right' [mul_pos_reflect_lt α]
(bc : b * a < c * a) (a0 : 0 < a) :
b < c :=
@contravariant_class.elim α>0 α (λ x y, y * x) (<) _ ⟨a, a0⟩ _ _ bc
@[simp]
lemma mul_lt_mul_iff_left [pos_mul_strict_mono α] [pos_mul_reflect_lt α]
(a0 : 0 < a) :
a * b < a * c ↔ b < c :=
@rel_iff_cov α>0 α (λ x y, x * y) (<) _ _ ⟨a, a0⟩ _ _
@[simp]
lemma mul_lt_mul_iff_right [mul_pos_strict_mono α] [mul_pos_reflect_lt α]
(a0 : 0 < a) :
b * a < c * a ↔ b < c :=
@rel_iff_cov α>0 α (λ x y, y * x) (<) _ _ ⟨a, a0⟩ _ _
end has_lt
section has_lt_le
variables [has_lt α] [has_le α]
-- proven with `a0 : 0 ≤ a` as `mul_le_mul_left`
lemma mul_le_mul_left' [pos_mul_mono α]
(bc : b ≤ c) (a0 : 0 < a) :
a * b ≤ a * c :=
@covariant_class.elim α>0 α (λ x y, x * y) (≤) _ ⟨a, a0⟩ _ _ bc
-- proven with `a0 : 0 ≤ a` as `mul_le_mul_right`
lemma mul_le_mul_right' [mul_pos_mono α]
(bc : b ≤ c) (a0 : 0 < a) :
b * a ≤ c * a :=
@covariant_class.elim α>0 α (λ x y, y * x) (≤) _ ⟨a, a0⟩ _ _ bc
lemma le_of_mul_le_mul_left' [pos_mul_mono_rev α]
(bc : a * b ≤ a * c) (a0 : 0 < a) :
b ≤ c :=
@contravariant_class.elim α>0 α (λ x y, x * y) (≤) _ ⟨a, a0⟩ _ _ bc
lemma le_of_mul_le_mul_right' [mul_pos_mono_rev α]
(bc : b * a ≤ c * a) (a0 : 0 < a) :
b ≤ c :=
@contravariant_class.elim α>0 α (λ x y, y * x) (≤) _ ⟨a, a0⟩ _ _ bc
@[simp]
lemma mul_le_mul_iff_left [pos_mul_mono α] [pos_mul_mono_rev α]
(a0 : 0 < a) :
a * b ≤ a * c ↔ b ≤ c :=
@rel_iff_cov α>0 α (λ x y, x * y) (≤) _ _ ⟨a, a0⟩ _ _
@[simp]
lemma mul_le_mul_iff_right [mul_pos_mono α] [mul_pos_mono_rev α]
(a0 : 0 < a) :
b * a ≤ c * a ↔ b ≤ c :=
@rel_iff_cov α>0 α (λ x y, y * x) (≤) _ _ ⟨a, a0⟩ _ _
end has_lt_le
section preorder
variables [preorder α]
-- proven with `a0 : 0 ≤ a` `d0 : 0 ≤ d` as `mul_le_mul_of_le_of_le`
lemma preorder.mul_le_mul_of_le_of_le [pos_mul_mono α] [mul_pos_mono α]
(h₁ : a ≤ b) (h₂ : c ≤ d) (a0 : 0 < a) (d0 : 0 < d) : a * c ≤ b * d :=
(mul_le_mul_left' h₂ a0).trans (mul_le_mul_right' h₁ d0)
-- proven with `b0 : 0 ≤ b` `c0 : 0 ≤ c` as `mul_le_mul_of_le_of_le'`
lemma preorder.mul_le_mul_of_le_of_le' [pos_mul_mono α] [mul_pos_mono α]
(h₁ : a ≤ b) (h₂ : c ≤ d) (b0 : 0 < b) (c0 : 0 < c) : a * c ≤ b * d :=
(mul_le_mul_right' h₁ c0).trans (mul_le_mul_left' h₂ b0)
lemma mul_lt_mul_of_le_of_lt [pos_mul_strict_mono α] [mul_pos_mono α]
(h₁ : a ≤ b) (h₂ : c < d) (a0 : 0 < a) (d0 : 0 < d) : a * c < b * d :=
(mul_lt_mul_left h₂ a0).trans_le (mul_le_mul_right' h₁ d0)
lemma mul_lt_mul_of_le_of_lt' [pos_mul_strict_mono α] [mul_pos_mono α]
(h₁ : a ≤ b) (h₂ : c < d) (b0 : 0 < b) (c0 : 0 < c) : a * c < b * d :=
(mul_le_mul_right' h₁ c0).trans_lt (mul_lt_mul_left h₂ b0)
lemma mul_lt_mul_of_lt_of_le [pos_mul_mono α] [mul_pos_strict_mono α]
(h₁ : a < b) (h₂ : c ≤ d) (a0 : 0 < a) (d0 : 0 < d) : a * c < b * d :=
(mul_le_mul_left' h₂ a0).trans_lt (mul_lt_mul_right h₁ d0)
lemma mul_lt_mul_of_lt_of_le' [pos_mul_mono α] [mul_pos_strict_mono α]
(h₁ : a < b) (h₂ : c ≤ d) (b0 : 0 < b) (c0 : 0 < c) : a * c < b * d :=
(mul_lt_mul_right h₁ c0).trans_le (mul_le_mul_left' h₂ b0)
lemma mul_lt_mul_of_lt_of_lt [pos_mul_strict_mono α] [mul_pos_strict_mono α]
(h₁ : a < b) (h₂ : c < d) (a0 : 0 < a) (d0 : 0 < d) : a * c < b * d :=
(mul_lt_mul_left h₂ a0).trans (mul_lt_mul_right h₁ d0)
lemma mul_lt_mul_of_lt_of_lt' [pos_mul_strict_mono α] [mul_pos_strict_mono α]
(h₁ : a < b) (h₂ : c < d) (b0 : 0 < b) (c0 : 0 < c) : a * c < b * d :=
(mul_lt_mul_right h₁ c0).trans (mul_lt_mul_left h₂ b0)
-- proven with `a0 : 0 ≤ a` as `mul_le_of_mul_le_left`
lemma preorder.mul_le_of_mul_le_left [pos_mul_mono α]
(h : a * b ≤ c) (hle : d ≤ b) (a0 : 0 < a) :
a * d ≤ c :=
(mul_le_mul_left' hle a0).trans h
lemma mul_lt_of_mul_lt_left [pos_mul_mono α]
(h : a * b < c) (hle : d ≤ b) (a0 : 0 < a) :
a * d < c :=
(mul_le_mul_left' hle a0).trans_lt h
-- proven with `b0 : 0 ≤ b` as `le_mul_of_le_mul_left`
lemma preorder.le_mul_of_le_mul_left [pos_mul_mono α]
(h : a ≤ b * c) (hle : c ≤ d) (b0 : 0 < b) :
a ≤ b * d :=
h.trans (mul_le_mul_left' hle b0)
lemma lt_mul_of_lt_mul_left [pos_mul_mono α]
(h : a < b * c) (hle : c ≤ d) (b0 : 0 < b) :
a < b * d :=
h.trans_le (mul_le_mul_left' hle b0)
-- proven with `b0 : 0 ≤ b` as `mul_le_of_mul_le_right`
lemma preorder.mul_le_of_mul_le_right [mul_pos_mono α]
(h : a * b ≤ c) (hle : d ≤ a) (b0 : 0 < b) :
d * b ≤ c :=
(mul_le_mul_right' hle b0).trans h
lemma mul_lt_of_mul_lt_right [mul_pos_mono α]
(h : a * b < c) (hle : d ≤ a) (b0 : 0 < b) :
d * b < c :=
(mul_le_mul_right' hle b0).trans_lt h
-- proven with `c0 : 0 ≤ c` as `le_mul_of_le_mul_right`
lemma preorder.le_mul_of_le_mul_right [mul_pos_mono α]
(h : a ≤ b * c) (hle : b ≤ d) (c0 : 0 < c) :
a ≤ d * c :=
h.trans (mul_le_mul_right' hle c0)
lemma lt_mul_of_lt_mul_right [mul_pos_mono α]
(h : a < b * c) (hle : b ≤ d) (c0 : 0 < c) :
a < d * c :=
h.trans_le (mul_le_mul_right' hle c0)
end preorder
section partial_order
variables [partial_order α]
@[priority 100] -- see Note [lower instance priority]
instance pos_mul_strict_mono.to_pos_mul_mono [pos_mul_strict_mono α] : pos_mul_mono α :=
⟨λ x a b h, h.eq_or_lt.elim (λ h', h' ▸ le_rfl) (λ h', (mul_lt_mul_left h' x.prop).le)⟩
@[priority 100] -- see Note [lower instance priority]
instance mul_pos_strict_mono.to_mul_pos_mono [mul_pos_strict_mono α] : mul_pos_mono α :=
⟨λ x a b h, h.eq_or_lt.elim (λ h', h' ▸ le_rfl) (λ h', (mul_lt_mul_right h' x.prop).le)⟩
@[priority 100] -- see Note [lower instance priority]
instance pos_mul_mono_rev.to_pos_mul_reflect_lt [pos_mul_mono_rev α] : pos_mul_reflect_lt α :=
⟨λ x a b h, lt_of_le_of_ne (le_of_mul_le_mul_left' h.le x.prop) (λ h', by simpa [h'] using h)⟩
@[priority 100] -- see Note [lower instance priority]
instance mul_pos_mono_rev.to_mul_pos_reflect_lt [mul_pos_mono_rev α] : mul_pos_reflect_lt α :=
⟨λ x a b h, lt_of_le_of_ne (le_of_mul_le_mul_right' h.le x.prop) (λ h', by simpa [h'] using h)⟩
end partial_order
section linear_order
variables [linear_order α]
@[priority 100] -- see Note [lower instance priority]
instance pos_mul_strict_mono.to_pos_mul_mono_rev [pos_mul_strict_mono α] : pos_mul_mono_rev α :=
⟨λ x a b h, le_of_not_lt $ λ h', h.not_lt (mul_lt_mul_left h' x.prop)⟩
@[priority 100] -- see Note [lower instance priority]
instance mul_pos_strict_mono.to_mul_pos_mono_rev [mul_pos_strict_mono α] : mul_pos_mono_rev α :=
⟨λ x a b h, le_of_not_lt $ λ h', h.not_lt (mul_lt_mul_right h' x.prop)⟩
lemma pos_mul_mono_rev.to_pos_mul_strict_mono [pos_mul_mono_rev α] : pos_mul_strict_mono α :=
⟨λ x a b h, lt_of_not_le $ λ h', h.not_le (le_of_mul_le_mul_left' h' x.prop)⟩
lemma mul_pos_mono_rev.to_mul_pos_strict_mono [mul_pos_mono_rev α] : mul_pos_strict_mono α :=
⟨λ x a b h, lt_of_not_le $ λ h', h.not_le (le_of_mul_le_mul_right' h' x.prop)⟩
lemma pos_mul_strict_mono_iff_pos_mul_mono_rev : pos_mul_strict_mono α ↔ pos_mul_mono_rev α :=
⟨@zero_lt.pos_mul_strict_mono.to_pos_mul_mono_rev _ _ _ _,
@pos_mul_mono_rev.to_pos_mul_strict_mono _ _ _ _⟩
lemma mul_pos_strict_mono_iff_mul_pos_mono_rev : mul_pos_strict_mono α ↔ mul_pos_mono_rev α :=
⟨@zero_lt.mul_pos_strict_mono.to_mul_pos_mono_rev _ _ _ _,
@mul_pos_mono_rev.to_mul_pos_strict_mono _ _ _ _⟩
lemma pos_mul_reflect_lt.to_pos_mul_mono [pos_mul_reflect_lt α] : pos_mul_mono α :=
⟨λ x a b h, le_of_not_lt $ λ h', h.not_lt (lt_of_mul_lt_mul_left' h' x.prop)⟩
lemma mul_pos_reflect_lt.to_mul_pos_mono [mul_pos_reflect_lt α] : mul_pos_mono α :=
⟨λ x a b h, le_of_not_lt $ λ h', h.not_lt (lt_of_mul_lt_mul_right' h' x.prop)⟩
lemma pos_mul_mono.to_pos_mul_reflect_lt [pos_mul_mono α] : pos_mul_reflect_lt α :=
⟨λ x a b h, lt_of_not_le $ λ h', h.not_le (mul_le_mul_left' h' x.prop)⟩
lemma mul_pos_mono.to_mul_pos_reflect_lt [mul_pos_mono α] : mul_pos_reflect_lt α :=
⟨λ x a b h, lt_of_not_le $ λ h', h.not_le (mul_le_mul_right' h' x.prop)⟩
lemma pos_mul_mono_iff_pos_mul_reflect_lt : pos_mul_mono α ↔ pos_mul_reflect_lt α :=
⟨@pos_mul_mono.to_pos_mul_reflect_lt _ _ _ _, @pos_mul_reflect_lt.to_pos_mul_mono _ _ _ _⟩
lemma mul_pos_mono_iff_mul_pos_reflect_lt : mul_pos_mono α ↔ mul_pos_reflect_lt α :=
⟨@mul_pos_mono.to_mul_pos_reflect_lt _ _ _ _, @mul_pos_reflect_lt.to_mul_pos_mono _ _ _ _⟩
end linear_order
end has_mul_zero
section mul_zero_class
variables [mul_zero_class α]
section preorder
variables [preorder α]
/-- Assumes left covariance. -/
lemma left.mul_pos [pos_mul_strict_mono α]
(ha : 0 < a) (hb : 0 < b) :
0 < a * b :=
have h : a * 0 < a * b, from mul_lt_mul_left hb ha,
by rwa [mul_zero] at h
lemma mul_neg_of_pos_of_neg [pos_mul_strict_mono α]
(ha : 0 < a) (hb : b < 0) :
a * b < 0 :=
have h : a * b < a * 0, from mul_lt_mul_left hb ha,
by rwa [mul_zero] at h
/-- Assumes right covariance. -/
lemma right.mul_pos [mul_pos_strict_mono α]
(ha : 0 < a) (hb : 0 < b) :
0 < a * b :=
have h : 0 * b < a * b, from mul_lt_mul_right ha hb,
by rwa [zero_mul] at h
lemma mul_neg_of_neg_of_pos [mul_pos_strict_mono α]
(ha : a < 0) (hb : 0 < b) :
a * b < 0 :=
have h : a * b < 0 * b, from mul_lt_mul_right ha hb,
by rwa [zero_mul] at h
end preorder
section partial_order
variables [partial_order α]
lemma mul_le_mul_left [pos_mul_mono α]
(bc : b ≤ c) (a0 : 0 ≤ a) :
a * b ≤ a * c :=
a0.lt_or_eq.elim (mul_le_mul_left' bc) (λ h, by simp only [← h, zero_mul])
lemma mul_le_mul_right [mul_pos_mono α]
(bc : b ≤ c) (a0 : 0 ≤ a) :
b * a ≤ c * a :=
a0.lt_or_eq.elim (mul_le_mul_right' bc) (λ h, by simp only [← h, mul_zero])
/-- Assumes left covariance. -/
lemma left.mul_nonneg [pos_mul_mono α]
(ha : 0 ≤ a) (hb : 0 ≤ b) :
0 ≤ a * b :=
have h : a * 0 ≤ a * b, from mul_le_mul_left hb ha,
by rwa [mul_zero] at h
lemma mul_nonpos_of_nonneg_of_nonpos [pos_mul_mono α]
(ha : 0 ≤ a) (hb : b ≤ 0) :
a * b ≤ 0 :=
have h : a * b ≤ a * 0, from mul_le_mul_left hb ha,
by rwa [mul_zero] at h
/-- Assumes right covariance. -/
lemma right.mul_nonneg [mul_pos_mono α]
(ha : 0 ≤ a) (hb : 0 ≤ b) :
0 ≤ a * b :=
have h : 0 * b ≤ a * b, from mul_le_mul_right ha hb,
by rwa [zero_mul] at h
lemma mul_nonpos_of_nonpos_of_nonneg [mul_pos_mono α]
(ha : a ≤ 0) (hb : 0 ≤ b) :
a * b ≤ 0 :=
have h : a * b ≤ 0 * b, from mul_le_mul_right ha hb,
by rwa [zero_mul] at h
lemma lt_of_mul_lt_mul_left [pos_mul_reflect_lt α]
(bc : a * b < a * c) (a0 : 0 ≤ a) :
b < c :=
begin
by_cases a₀ : a = 0,
{ exact (lt_irrefl (0 : α) (by simpa only [a₀, zero_mul] using bc)).elim },
{ exact lt_of_mul_lt_mul_left' bc ((ne.symm a₀).le_iff_lt.mp a0) }
end
lemma pos_of_mul_pos_right [pos_mul_reflect_lt α] (h : 0 < a * b) (ha : 0 ≤ a) :
0 < b :=
lt_of_mul_lt_mul_left ((mul_zero a).symm ▸ h : a * 0 < a * b) ha
lemma lt_of_mul_lt_mul_right [mul_pos_reflect_lt α]
(bc : b * a < c * a) (a0 : 0 ≤ a) :
b < c :=
begin
by_cases a₀ : a = 0,
{ exact (lt_irrefl (0 : α) (by simpa only [a₀, mul_zero] using bc)).elim },
{ exact lt_of_mul_lt_mul_right' bc ((ne.symm a₀).le_iff_lt.mp a0) }
end
lemma pos_of_mul_pos_left [mul_pos_reflect_lt α] (h : 0 < a * b) (hb : 0 ≤ b) :
0 < a :=
lt_of_mul_lt_mul_right ((zero_mul b).symm ▸ h : 0 * b < a * b) hb
lemma pos_iff_pos_of_mul_pos [pos_mul_reflect_lt α] [mul_pos_reflect_lt α] (hab : 0 < a * b) :
0 < a ↔ 0 < b :=
⟨pos_of_mul_pos_right hab ∘ le_of_lt, pos_of_mul_pos_left hab ∘ le_of_lt⟩
lemma mul_le_mul_of_le_of_le [pos_mul_mono α] [mul_pos_mono α]
(h₁ : a ≤ b) (h₂ : c ≤ d) (a0 : 0 ≤ a) (d0 : 0 ≤ d) : a * c ≤ b * d :=
(mul_le_mul_left h₂ a0).trans $ mul_le_mul_right h₁ d0
lemma mul_le_mul_of_le_of_le' [pos_mul_mono α] [mul_pos_mono α]
(h₁ : a ≤ b) (h₂ : c ≤ d) (b0 : 0 ≤ b) (c0 : 0 ≤ c) : a * c ≤ b * d :=
(mul_le_mul_right h₁ c0).trans $ mul_le_mul_left h₂ b0
lemma mul_le_of_mul_le_left [pos_mul_mono α]
(h : a * b ≤ c) (hle : d ≤ b) (a0 : 0 ≤ a) :
a * d ≤ c :=
(mul_le_mul_left hle a0).trans h
lemma le_mul_of_le_mul_left [pos_mul_mono α]
(h : a ≤ b * c) (hle : c ≤ d) (b0 : 0 ≤ b) :
a ≤ b * d :=
h.trans (mul_le_mul_left hle b0)
lemma mul_le_of_mul_le_right [mul_pos_mono α]
(h : a * b ≤ c) (hle : d ≤ a) (b0 : 0 ≤ b) :
d * b ≤ c :=
(mul_le_mul_right hle b0).trans h
lemma le_mul_of_le_mul_right [mul_pos_mono α]
(h : a ≤ b * c) (hle : b ≤ d) (c0 : 0 ≤ c) :
a ≤ d * c :=
h.trans (mul_le_mul_right hle c0)
lemma mul_left_cancel_iff [pos_mul_mono_rev α]
(a0 : 0 < a) :
a * b = a * c ↔ b = c :=
⟨λ h, (le_of_mul_le_mul_left' h.le a0).antisymm (le_of_mul_le_mul_left' h.ge a0), congr_arg _⟩
lemma mul_right_cancel_iff [mul_pos_mono_rev α]
(b0 : 0 < b) :
a * b = c * b ↔ a = c :=
⟨λ h, (le_of_mul_le_mul_right' h.le b0).antisymm (le_of_mul_le_mul_right' h.ge b0), congr_arg _⟩
lemma mul_eq_mul_iff_eq_and_eq [pos_mul_strict_mono α] [mul_pos_strict_mono α]
[pos_mul_mono_rev α] [mul_pos_mono_rev α]
(hac : a ≤ b) (hbd : c ≤ d) (a0 : 0 < a) (d0 : 0 < d) :
a * c = b * d ↔ a = b ∧ c = d :=
begin
refine ⟨λ h, _, λ h, congr_arg2 (*) h.1 h.2⟩,
rcases hac.eq_or_lt with rfl | hac,
{ exact ⟨rfl, (mul_left_cancel_iff a0).mp h⟩ },
rcases eq_or_lt_of_le hbd with rfl | hbd,
{ exact ⟨(mul_right_cancel_iff d0).mp h, rfl⟩ },
exact ((mul_lt_mul_of_lt_of_lt hac hbd a0 d0).ne h).elim,
end
lemma mul_eq_mul_iff_eq_and_eq' [pos_mul_strict_mono α] [mul_pos_strict_mono α]
[pos_mul_mono_rev α] [mul_pos_mono_rev α]
(hac : a ≤ b) (hbd : c ≤ d) (b0 : 0 < b) (c0 : 0 < c) :
a * c = b * d ↔ a = b ∧ c = d :=
begin
refine ⟨λ h, _, λ h, congr_arg2 (*) h.1 h.2⟩,
rcases hac.eq_or_lt with rfl | hac,
{ exact ⟨rfl, (mul_left_cancel_iff b0).mp h⟩ },
rcases eq_or_lt_of_le hbd with rfl | hbd,
{ exact ⟨(mul_right_cancel_iff c0).mp h, rfl⟩ },
exact ((mul_lt_mul_of_lt_of_lt' hac hbd b0 c0).ne h).elim,
end
end partial_order
section linear_order
variables [linear_order α]
lemma pos_and_pos_or_neg_and_neg_of_mul_pos [pos_mul_mono α] [mul_pos_mono α]
(hab : 0 < a * b) :
(0 < a ∧ 0 < b) ∨ (a < 0 ∧ b < 0) :=
begin
rcases lt_trichotomy 0 a with ha | rfl | ha,
{ refine or.inl ⟨ha, lt_imp_lt_of_le_imp_le (λ hb, _) hab⟩,
exact mul_nonpos_of_nonneg_of_nonpos ha.le hb },
{ rw [zero_mul] at hab, exact hab.false.elim },
{ refine or.inr ⟨ha, lt_imp_lt_of_le_imp_le (λ hb, _) hab⟩,
exact mul_nonpos_of_nonpos_of_nonneg ha.le hb }
end
lemma neg_of_mul_pos_right [pos_mul_mono α] [mul_pos_mono α]
(h : 0 < a * b) (ha : a ≤ 0) :
b < 0 :=
((pos_and_pos_or_neg_and_neg_of_mul_pos h).resolve_left $ λ h, h.1.not_le ha).2
lemma neg_of_mul_pos_left [pos_mul_mono α] [mul_pos_mono α]
(h : 0 < a * b) (ha : b ≤ 0) :
a < 0 :=
((pos_and_pos_or_neg_and_neg_of_mul_pos h).resolve_left $ λ h, h.2.not_le ha).1
lemma neg_iff_neg_of_mul_pos [pos_mul_mono α] [mul_pos_mono α]
(hab : 0 < a * b) :
a < 0 ↔ b < 0 :=
⟨neg_of_mul_pos_right hab ∘ le_of_lt, neg_of_mul_pos_left hab ∘ le_of_lt⟩
lemma left.neg_of_mul_neg_left [pos_mul_mono α]
(h : a * b < 0) (h1 : 0 ≤ a) :
b < 0 :=
lt_of_not_ge (assume h2 : b ≥ 0, (left.mul_nonneg h1 h2).not_lt h)
lemma right.neg_of_mul_neg_left [mul_pos_mono α]
(h : a * b < 0) (h1 : 0 ≤ a) :
b < 0 :=
lt_of_not_ge (assume h2 : b ≥ 0, (right.mul_nonneg h1 h2).not_lt h)
lemma left.neg_of_mul_neg_right [pos_mul_mono α]
(h : a * b < 0) (h1 : 0 ≤ b) : a < 0 :=
lt_of_not_ge (assume h2 : a ≥ 0, (left.mul_nonneg h2 h1).not_lt h)
lemma right.neg_of_mul_neg_right [mul_pos_mono α]
(h : a * b < 0) (h1 : 0 ≤ b) : a < 0 :=
lt_of_not_ge (assume h2 : a ≥ 0, (right.mul_nonneg h2 h1).not_lt h)
end linear_order
end mul_zero_class
section mul_one_class
variables [mul_one_class α] [has_zero α]
section preorder
variables [preorder α]
/-! Lemmas of the form `a ≤ a * b ↔ 1 ≤ b` and `a * b ≤ a ↔ b ≤ 1`,
which assume left covariance. -/
@[simp]
lemma le_mul_iff_one_le_right
[pos_mul_mono α] [pos_mul_mono_rev α]
(a0 : 0 < a) :
a ≤ a * b ↔ 1 ≤ b :=
iff.trans (by rw [mul_one]) (mul_le_mul_iff_left a0)
@[simp]
lemma lt_mul_iff_one_lt_right
[pos_mul_strict_mono α] [pos_mul_reflect_lt α]
(a0 : 0 < a) :
a < a * b ↔ 1 < b :=
iff.trans (by rw [mul_one]) (mul_lt_mul_iff_left a0)
@[simp]
lemma mul_le_iff_le_one_right
[pos_mul_mono α] [pos_mul_mono_rev α]
(a0 : 0 < a) :
a * b ≤ a ↔ b ≤ 1 :=
iff.trans (by rw [mul_one]) (mul_le_mul_iff_left a0)
@[simp]
lemma mul_lt_iff_lt_one_right
[pos_mul_strict_mono α] [pos_mul_reflect_lt α]
(a0 : 0 < a) :
a * b < a ↔ b < 1 :=
iff.trans (by rw [mul_one]) (mul_lt_mul_iff_left a0)
/-! Lemmas of the form `a ≤ b * a ↔ 1 ≤ b` and `a * b ≤ b ↔ a ≤ 1`,
which assume right covariance. -/
@[simp]
lemma le_mul_iff_one_le_left
[mul_pos_mono α] [mul_pos_mono_rev α]
(a0 : 0 < a) :
a ≤ b * a ↔ 1 ≤ b :=
iff.trans (by rw [one_mul]) (mul_le_mul_iff_right a0)
@[simp]
lemma lt_mul_iff_one_lt_left
[mul_pos_strict_mono α] [mul_pos_reflect_lt α]
(a0 : 0 < a) :
a < b * a ↔ 1 < b :=
iff.trans (by rw [one_mul]) (mul_lt_mul_iff_right a0)
@[simp]
lemma mul_le_iff_le_one_left
[mul_pos_mono α] [mul_pos_mono_rev α]
(b0 : 0 < b) :
a * b ≤ b ↔ a ≤ 1 :=
iff.trans (by rw [one_mul]) (mul_le_mul_iff_right b0)
@[simp]
lemma mul_lt_iff_lt_one_left
[mul_pos_strict_mono α] [mul_pos_reflect_lt α]
(b0 : 0 < b) :
a * b < b ↔ a < 1 :=
iff.trans (by rw [one_mul]) (mul_lt_mul_iff_right b0)
/-! Lemmas of the form `b ≤ c → a ≤ 1 → b * a ≤ c`. -/
-- proven with `b0 : 0 ≤ b` as `mul_le_of_le_of_le_one`
lemma preorder.mul_le_of_le_of_le_one [pos_mul_mono α]
(bc : b ≤ c) (ha : a ≤ 1) (b0 : 0 < b) : b * a ≤ c :=
calc b * a ≤ b * 1 : mul_le_mul_left' ha b0
... = b : mul_one b
... ≤ c : bc
lemma mul_lt_of_le_of_lt_one [pos_mul_strict_mono α]
(bc : b ≤ c) (ha : a < 1) (b0 : 0 < b) : b * a < c :=
calc b * a < b * 1 : mul_lt_mul_left ha b0
... = b : mul_one b
... ≤ c : bc
lemma mul_lt_of_lt_of_le_one [pos_mul_mono α]
(bc : b < c) (ha : a ≤ 1) (b0 : 0 < b) : b * a < c :=
calc b * a ≤ b * 1 : mul_le_mul_left' ha b0
... = b : mul_one b
... < c : bc
lemma mul_lt_of_lt_of_lt_one [pos_mul_strict_mono α]
(bc : b < c) (ha : a < 1) (b0 : 0 < b) : b * a < c :=
calc b * a < b * 1 : mul_lt_mul_left ha b0
... = b : mul_one b
... < c : bc
-- proven with `a0 : 0 ≤ a` as `left.mul_le_one_of_le_of_le`
/-- Assumes left covariance. -/
lemma preorder.left.mul_le_one_of_le_of_le' [pos_mul_mono α]
(ha : a ≤ 1) (hb : b ≤ 1) (a0 : 0 < a) : a * b ≤ 1 :=
preorder.mul_le_of_le_of_le_one ha hb a0
/-- Assumes left covariance. -/
lemma left.mul_lt_one_of_le_of_lt [pos_mul_strict_mono α]
(ha : a ≤ 1) (hb : b < 1) (a0 : 0 < a) : a * b < 1 :=
mul_lt_of_le_of_lt_one ha hb a0
/-- Assumes left covariance. -/
lemma left.mul_lt_one_of_lt_of_le [pos_mul_mono α]
(ha : a < 1) (hb : b ≤ 1) (a0 : 0 < a) : a * b < 1 :=
mul_lt_of_lt_of_le_one ha hb a0
/-- Assumes left covariance. -/
lemma left.mul_lt_one_of_lt_of_lt [pos_mul_strict_mono α]
(ha : a < 1) (hb : b < 1) (a0 : 0 < a) : a * b < 1 :=
mul_lt_of_lt_of_lt_one ha hb a0
-- proven with `a0 : 0 ≤ a` and `c0 : 0 ≤ c` as `mul_le_of_le_of_le_one'`
lemma preorder.mul_le_of_le_of_le_one' [pos_mul_mono α] [mul_pos_mono α]
(bc : b ≤ c) (ha : a ≤ 1) (a0 : 0 < a) (c0 : 0 < c) : b * a ≤ c :=
calc b * a ≤ c * a : mul_le_mul_right' bc a0
... ≤ c * 1 : mul_le_mul_left' ha c0
... = c : mul_one c
-- proven with `c0 : 0 ≤ c` as `mul_lt_of_lt_of_le_one'`
lemma preorder.mul_lt_of_lt_of_le_one' [pos_mul_mono α] [mul_pos_strict_mono α]
(bc : b < c) (ha : a ≤ 1) (a0 : 0 < a) (c0 : 0 < c) : b * a < c :=
calc b * a < c * a : mul_lt_mul_right bc a0
... ≤ c * 1 : mul_le_mul_left' ha c0
... = c : mul_one c
-- proven with `a0 : 0 ≤ a` as `mul_lt_of_le_of_lt_one'`
lemma preorder.mul_lt_of_le_of_lt_one' [pos_mul_strict_mono α] [mul_pos_mono α]
(bc : b ≤ c) (ha : a < 1) (a0 : 0 < a) (c0 : 0 < c) : b * a < c :=
calc b * a ≤ c * a : mul_le_mul_right' bc a0
... < c * 1 : mul_lt_mul_left ha c0
... = c : mul_one c
lemma mul_lt_of_lt_of_lt_one' [pos_mul_strict_mono α] [mul_pos_strict_mono α]
(bc : b < c) (ha : a < 1) (a0 : 0 < a) (c0 : 0 < c) : b * a < c :=
calc b * a < c * a : mul_lt_mul_right bc a0
... < c * 1 : mul_lt_mul_left ha c0
... = c : mul_one c
/-! Lemmas of the form `b ≤ c → 1 ≤ a → b ≤ c * a`. -/
-- proven with `c0 : 0 ≤ c` as `le_mul_of_le_of_one_le`
lemma preorder.le_mul_of_le_of_one_le [pos_mul_mono α]
(bc : b ≤ c) (ha : 1 ≤ a) (c0 : 0 < c) : b ≤ c * a :=
calc b ≤ c : bc
... = c * 1 : (mul_one c).symm
... ≤ c * a : mul_le_mul_left' ha c0
lemma lt_mul_of_le_of_one_lt [pos_mul_strict_mono α]
(bc : b ≤ c) (ha : 1 < a) (c0 : 0 < c) : b < c * a :=
calc b ≤ c : bc
... = c * 1 : (mul_one c).symm
... < c * a : mul_lt_mul_left ha c0
lemma lt_mul_of_lt_of_one_le [pos_mul_mono α]
(bc : b < c) (ha : 1 ≤ a) (c0 : 0 < c) : b < c * a :=
calc b < c : bc
... = c * 1 : (mul_one c).symm
... ≤ c * a : mul_le_mul_left' ha c0
lemma lt_mul_of_lt_of_one_lt [pos_mul_strict_mono α]
(bc : b < c) (ha : 1 < a) (c0 : 0 < c) : b < c * a :=
calc b < c : bc
... = c * 1 : (mul_one _).symm
... < c * a : mul_lt_mul_left ha c0
-- proven with `a0 : 0 ≤ a` as `left.one_le_mul_of_le_of_le`
/-- Assumes left covariance. -/
lemma preorder.left.one_le_mul_of_le_of_le [pos_mul_mono α]
(ha : 1 ≤ a) (hb : 1 ≤ b) (a0 : 0 < a) : 1 ≤ a * b :=
preorder.le_mul_of_le_of_one_le ha hb a0
/-- Assumes left covariance. -/
lemma left.one_lt_mul_of_le_of_lt [pos_mul_strict_mono α]
(ha : 1 ≤ a) (hb : 1 < b) (a0 : 0 < a) : 1 < a * b :=
lt_mul_of_le_of_one_lt ha hb a0
/-- Assumes left covariance. -/
lemma left.one_lt_mul_of_lt_of_le [pos_mul_mono α]
(ha : 1 < a) (hb : 1 ≤ b) (a0 : 0 < a) : 1 < a * b :=
lt_mul_of_lt_of_one_le ha hb a0
/-- Assumes left covariance. -/
lemma left.one_lt_mul_of_lt_of_lt [pos_mul_strict_mono α]
(ha : 1 < a) (hb : 1 < b) (a0 : 0 < a) : 1 < a * b :=
lt_mul_of_lt_of_one_lt ha hb a0
-- proven with `a0 : 0 ≤ a` and `b0 : 0 ≤ b` as `le_mul_of_le_of_one_le'`
lemma preorder.le_mul_of_le_of_one_le' [pos_mul_mono α] [mul_pos_mono α]
(bc : b ≤ c) (ha : 1 ≤ a) (a0 : 0 < a) (b0 : 0 < b) : b ≤ c * a :=
calc b = b * 1 : (mul_one b).symm
... ≤ b * a : mul_le_mul_left' ha b0
... ≤ c * a : mul_le_mul_right' bc a0
-- proven with `a0 : 0 ≤ a` as `lt_mul_of_le_of_one_lt'`
lemma preorder.lt_mul_of_le_of_one_lt' [pos_mul_strict_mono α] [mul_pos_mono α]
(bc : b ≤ c) (ha : 1 < a) (a0 : 0 < a) (b0 : 0 < b) : b < c * a :=
calc b = b * 1 : (mul_one b).symm
... < b * a : mul_lt_mul_left ha b0
... ≤ c * a : mul_le_mul_right' bc a0
-- proven with `b0 : 0 ≤ b` as `lt_mul_of_lt_of_one_le'`
lemma preorder.lt_mul_of_lt_of_one_le' [pos_mul_mono α] [mul_pos_strict_mono α]
(bc : b < c) (ha : 1 ≤ a) (a0 : 0 < a) (b0 : 0 < b) : b < c * a :=
calc b = b * 1 : (mul_one b).symm
... ≤ b * a : mul_le_mul_left' ha b0
... < c * a : mul_lt_mul_right bc a0
lemma lt_mul_of_lt_of_one_lt' [pos_mul_strict_mono α] [mul_pos_strict_mono α]
(bc : b < c) (ha : 1 < a) (a0 : 0 < a) (b0 : 0 < b) : b < c * a :=
calc b = b * 1 : (mul_one b).symm
... < b * a : mul_lt_mul_left ha b0
... < c * a : mul_lt_mul_right bc a0
/-! Lemmas of the form `a ≤ 1 → b ≤ c → a * b ≤ c`. -/
-- proven with `b0 : 0 ≤ b` as `mul_le_of_le_one_of_le`
lemma preorder.mul_le_of_le_one_of_le [mul_pos_mono α]
(ha : a ≤ 1) (bc : b ≤ c) (b0 : 0 < b) : a * b ≤ c :=
calc a * b ≤ 1 * b : mul_le_mul_right' ha b0
... = b : one_mul b
... ≤ c : bc
lemma mul_lt_of_lt_one_of_le [mul_pos_strict_mono α]
(ha : a < 1) (bc : b ≤ c) (b0 : 0 < b) : a * b < c :=
calc a * b < 1 * b : mul_lt_mul_right ha b0
... = b : one_mul b
... ≤ c : bc
lemma mul_lt_of_le_one_of_lt [mul_pos_mono α]
(ha : a ≤ 1) (hb : b < c) (b0 : 0 < b) : a * b < c :=
calc a * b ≤ 1 * b : mul_le_mul_right' ha b0
... = b : one_mul b
... < c : hb
lemma mul_lt_of_lt_one_of_lt [mul_pos_strict_mono α]
(ha : a < 1) (bc : b < c) (b0 : 0 < b) : a * b < c :=
calc a * b < 1 * b : mul_lt_mul_right ha b0
... = b : one_mul b
... < c : bc
-- proven with `b0 : 0 ≤ b` as `right.mul_le_one_of_le_of_le`
/-- Assumes right covariance. -/
lemma preorder.right.mul_le_one_of_le_of_le [mul_pos_mono α]
(ha : a ≤ 1) (hb : b ≤ 1) (b0 : 0 < b) : a * b ≤ 1 :=
preorder.mul_le_of_le_one_of_le ha hb b0
/-- Assumes right covariance. -/
lemma right.mul_lt_one_of_lt_of_le [mul_pos_strict_mono α]
(ha : a < 1) (hb : b ≤ 1) (b0 : 0 < b) : a * b < 1 :=
mul_lt_of_lt_one_of_le ha hb b0
/-- Assumes right covariance. -/
lemma right.mul_lt_one_of_le_of_lt [mul_pos_mono α]
(ha : a ≤ 1) (hb : b < 1) (b0 : 0 < b) : a * b < 1 :=
mul_lt_of_le_one_of_lt ha hb b0
/-- Assumes right covariance. -/
lemma right.mul_lt_one_of_lt_of_lt [mul_pos_strict_mono α]
(ha : a < 1) (hb : b < 1) (b0 : 0 < b) : a * b < 1 :=
mul_lt_of_lt_one_of_lt ha hb b0
-- proven with `a0 : 0 ≤ a` and `c0 : 0 ≤ c` as `mul_le_of_le_one_of_le'`
lemma preorder.mul_le_of_le_one_of_le' [pos_mul_mono α] [mul_pos_mono α]
(ha : a ≤ 1) (bc : b ≤ c) (a0 : 0 < a) (c0 : 0 < c) : a * b ≤ c :=
calc a * b ≤ a * c : mul_le_mul_left' bc a0
... ≤ 1 * c : mul_le_mul_right' ha c0
... = c : one_mul c
-- proven with `a0 : 0 ≤ a` as `mul_lt_of_lt_one_of_le'`
lemma preorder.mul_lt_of_lt_one_of_le' [pos_mul_mono α] [mul_pos_strict_mono α]
(ha : a < 1) (bc : b ≤ c) (a0 : 0 < a) (c0 : 0 < c) : a * b < c :=
calc a * b ≤ a * c : mul_le_mul_left' bc a0
... < 1 * c : mul_lt_mul_right ha c0
... = c : one_mul c
-- proven with `c0 : 0 ≤ c` as `mul_lt_of_le_one_of_lt'`
lemma preorder.mul_lt_of_le_one_of_lt' [pos_mul_strict_mono α] [mul_pos_mono α]
(ha : a ≤ 1) (bc : b < c) (a0 : 0 < a) (c0 : 0 < c) : a * b < c :=
calc a * b < a * c : mul_lt_mul_left bc a0
... ≤ 1 * c : mul_le_mul_right' ha c0
... = c : one_mul c
lemma mul_lt_of_lt_one_of_lt' [pos_mul_strict_mono α] [mul_pos_strict_mono α]
(ha : a < 1) (bc : b < c) (a0 : 0 < a) (c0 : 0 < c) : a * b < c :=
calc a * b < a * c : mul_lt_mul_left bc a0
... < 1 * c : mul_lt_mul_right ha c0
... = c : one_mul c
/-! Lemmas of the form `1 ≤ a → b ≤ c → b ≤ a * c`. -/
-- proven with `c0 : 0 ≤ c` as `le_mul_of_one_le_of_le`
lemma preorder.le_mul_of_one_le_of_le [mul_pos_mono α]
(ha : 1 ≤ a) (bc : b ≤ c) (c0 : 0 < c) : b ≤ a * c :=
calc b ≤ c : bc
... = 1 * c : (one_mul c).symm
... ≤ a * c : mul_le_mul_right' ha c0
lemma lt_mul_of_one_lt_of_le [mul_pos_strict_mono α]
(ha : 1 < a) (bc : b ≤ c) (c0 : 0 < c) : b < a * c :=
calc b ≤ c : bc
... = 1 * c : (one_mul c).symm
... < a * c : mul_lt_mul_right ha c0
lemma lt_mul_of_one_le_of_lt [mul_pos_mono α]
(ha : 1 ≤ a) (bc : b < c) (c0 : 0 < c) : b < a * c :=
calc b < c : bc
... = 1 * c : (one_mul c).symm
... ≤ a * c : mul_le_mul_right' ha c0
lemma lt_mul_of_one_lt_of_lt [mul_pos_strict_mono α]
(ha : 1 < a) (bc : b < c) (c0 : 0 < c) : b < a * c :=
calc b < c : bc
... = 1 * c : (one_mul c).symm
... < a * c : mul_lt_mul_right ha c0
-- proven with `b0 : 0 ≤ b` as `right.one_le_mul_of_le_of_le`
/-- Assumes right covariance. -/
lemma preorder.right.one_le_mul_of_le_of_le [mul_pos_mono α]
(ha : 1 ≤ a) (hb : 1 ≤ b) (b0 : 0 < b) : 1 ≤ a * b :=
preorder.le_mul_of_one_le_of_le ha hb b0
/-- Assumes right covariance. -/
lemma right.one_lt_mul_of_lt_of_le [mul_pos_strict_mono α]
(ha : 1 < a) (hb : 1 ≤ b) (b0 : 0 < b) : 1 < a * b :=
lt_mul_of_one_lt_of_le ha hb b0
/-- Assumes right covariance. -/
lemma right.one_lt_mul_of_le_of_lt [mul_pos_mono α]
(ha : 1 ≤ a) (hb : 1 < b) (b0 : 0 < b) : 1 < a * b :=
lt_mul_of_one_le_of_lt ha hb b0
/-- Assumes right covariance. -/
lemma right.one_lt_mul_of_lt_of_lt [mul_pos_strict_mono α]
(ha : 1 < a) (hb : 1 < b) (b0 : 0 < b) : 1 < a * b :=
lt_mul_of_one_lt_of_lt ha hb b0
-- proven with `a0 : 0 ≤ a` and `b0 : 0 ≤ b` as `le_mul_of_one_le_of_le'`
lemma preorder.le_mul_of_one_le_of_le' [pos_mul_mono α] [mul_pos_mono α]
(ha : 1 ≤ a) (bc : b ≤ c) (a0 : 0 < a) (b0 : 0 < b) : b ≤ a * c :=
calc b = 1 * b : (one_mul b).symm
... ≤ a * b : mul_le_mul_right' ha b0
... ≤ a * c : mul_le_mul_left' bc a0
-- proven with `a0 : 0 ≤ a` as `lt_mul_of_one_lt_of_le'`
lemma preorder.lt_mul_of_one_lt_of_le' [pos_mul_mono α] [mul_pos_strict_mono α]
(ha : 1 < a) (bc : b ≤ c) (a0 : 0 < a) (b0 : 0 < b) : b < a * c :=
calc b = 1 * b : (one_mul b).symm
... < a * b : mul_lt_mul_right ha b0
... ≤ a * c : mul_le_mul_left' bc a0
-- proven with `b0 : 0 ≤ b` as `lt_mul_of_one_le_of_lt'`
lemma preorder.lt_mul_of_one_le_of_lt' [pos_mul_strict_mono α] [mul_pos_mono α]
(ha : 1 ≤ a) (bc : b < c) (a0 : 0 < a) (b0 : 0 < b) : b < a * c :=
calc b = 1 * b : (one_mul b).symm
... ≤ a * b : mul_le_mul_right' ha b0
... < a * c : mul_lt_mul_left bc a0
lemma lt_mul_of_one_lt_of_lt' [pos_mul_strict_mono α] [mul_pos_strict_mono α]
(ha : 1 < a) (bc : b < c) (a0 : 0 < a) (b0 : 0 < b) : b < a * c :=
calc b = 1 * b : (one_mul b).symm
... < a * b : mul_lt_mul_right ha b0
... < a * c : mul_lt_mul_left bc a0
-- proven with `a0 : 0 ≤ a` as `mul_le_of_le_one_right`
lemma preorder.mul_le_of_le_one_right [pos_mul_mono α] (h : b ≤ 1) (a0 : 0 < a) :
a * b ≤ a :=
preorder.mul_le_of_le_of_le_one le_rfl h a0
-- proven with `a0 : 0 ≤ a` as `le_mul_of_one_le_right`
lemma preorder.le_mul_of_one_le_right [pos_mul_mono α] (h : 1 ≤ b) (a0 : 0 < a) :
a ≤ a * b :=
preorder.le_mul_of_le_of_one_le le_rfl h a0
-- proven with `b0 : 0 ≤ b` as `mul_le_of_le_one_left`
lemma preorder.mul_le_of_le_one_left [mul_pos_mono α] (h : a ≤ 1) (b0 : 0 < b) :
a * b ≤ b :=
preorder.mul_le_of_le_one_of_le h le_rfl b0
-- proven with `b0 : 0 ≤ b` as `le_mul_of_one_le_left`
lemma preorder.le_mul_of_one_le_left [mul_pos_mono α] (h : 1 ≤ a) (b0 : 0 < b) :
b ≤ a * b :=
preorder.le_mul_of_one_le_of_le h le_rfl b0
lemma mul_lt_of_lt_one_right [pos_mul_strict_mono α] (h : b < 1) (a0 : 0 < a) :
a * b < a :=
mul_lt_of_le_of_lt_one le_rfl h a0
lemma lt_mul_of_one_lt_right [pos_mul_strict_mono α] (h : 1 < b) (a0 : 0 < a) :
a < a * b :=
lt_mul_of_le_of_one_lt le_rfl h a0
lemma mul_lt_of_lt_one_left [mul_pos_strict_mono α] (h : a < 1) (b0 : 0 < b) :
a * b < b :=
mul_lt_of_lt_one_of_le h le_rfl b0
lemma lt_mul_of_one_lt_left [mul_pos_strict_mono α] (h : 1 < a) (b0 : 0 < b) :
b < a * b :=
lt_mul_of_one_lt_of_le h le_rfl b0
-- proven with `a0 : 0 ≤ a` as `le_of_mul_le_of_one_le_left`
lemma preorder.le_of_mul_le_of_one_le_left [pos_mul_mono α]
(h : a * b ≤ c) (hle : 1 ≤ b) (a0 : 0 < a) :
a ≤ c :=
(preorder.le_mul_of_one_le_right hle a0).trans h
lemma lt_of_mul_lt_of_one_le_left [pos_mul_mono α]
(h : a * b < c) (hle : 1 ≤ b) (a0 : 0 < a) :
a < c :=
(preorder.le_mul_of_one_le_right hle a0).trans_lt h
-- proven with `b0 : 0 ≤ b` as `le_of_le_mul_of_le_one_left`
lemma preorder.le_of_le_mul_of_le_one_left [pos_mul_mono α]
(h : a ≤ b * c) (hle : c ≤ 1) (b0 : 0 < b) :
a ≤ b :=
h.trans (preorder.mul_le_of_le_one_right hle b0)
lemma lt_of_lt_mul_of_le_one_left [pos_mul_mono α]
(h : a < b * c) (hle : c ≤ 1) (b0 : 0 < b) :
a < b :=
h.trans_le (preorder.mul_le_of_le_one_right hle b0)
-- proven with `b0 : 0 ≤ b` as `le_of_mul_le_of_one_le_right`
lemma preorder.le_of_mul_le_of_one_le_right [mul_pos_mono α]
(h : a * b ≤ c) (hle : 1 ≤ a) (b0 : 0 < b) :
b ≤ c :=
(preorder.le_mul_of_one_le_left hle b0).trans h
lemma lt_of_mul_lt_of_one_le_right [mul_pos_mono α]
(h : a * b < c) (hle : 1 ≤ a) (b0 : 0 < b) :
b < c :=
(preorder.le_mul_of_one_le_left hle b0).trans_lt h
-- proven with `c0 : 0 ≤ b` as `le_of_le_mul_of_le_one_right`
lemma preorder.le_of_le_mul_of_le_one_right [mul_pos_mono α]
(h : a ≤ b * c) (hle : b ≤ 1) (c0 : 0 < c) :
a ≤ c :=
h.trans (preorder.mul_le_of_le_one_left hle c0)
lemma lt_of_lt_mul_of_le_one_right [mul_pos_mono α]
(h : a < b * c) (hle : b ≤ 1) (c0 : 0 < c) :
a < c :=
h.trans_le (preorder.mul_le_of_le_one_left hle c0)
end preorder
section linear_order
variables [linear_order α]
-- proven with `a0 : 0 ≤ a` as `exists_square_le`
lemma exists_square_le' [pos_mul_strict_mono α]
(a0 : 0 < a) : ∃ (b : α), b * b ≤ a :=
begin
by_cases h : a < 1,
{ use a,
have : a*a < a*1,
exact mul_lt_mul_left h a0,
rw mul_one at this,
exact le_of_lt this },
{ use 1,
push_neg at h,
rwa mul_one }
end
end linear_order
end mul_one_class
section mul_zero_one_class
variables [mul_zero_one_class α]
section partial_order
variables [partial_order α]
/-! Lemmas of the form `b ≤ c → a ≤ 1 → b * a ≤ c`. -/
lemma mul_le_of_le_of_le_one [pos_mul_mono α]
(bc : b ≤ c) (ha : a ≤ 1) (b0 : 0 ≤ b) : b * a ≤ c :=
b0.lt_or_eq.elim (preorder.mul_le_of_le_of_le_one bc ha)
(λ h, by rw [← h, zero_mul]; exact b0.trans bc)
/-- Assumes left covariance. -/
lemma left.mul_le_one_of_le_of_le [pos_mul_mono α]
(ha : a ≤ 1) (hb : b ≤ 1) (a0 : 0 ≤ a) : a * b ≤ 1 :=
mul_le_of_le_of_le_one ha hb a0
lemma mul_le_of_le_of_le_one' [pos_mul_mono α] [mul_pos_mono α]
(bc : b ≤ c) (ha : a ≤ 1) (a0 : 0 ≤ a) (c0 : 0 ≤ c) : b * a ≤ c :=
calc b * a ≤ c * a : mul_le_mul_right bc a0
... ≤ c * 1 : mul_le_mul_left ha c0
... = c : mul_one c
lemma mul_lt_of_lt_of_le_one' [pos_mul_mono α] [mul_pos_strict_mono α]
(bc : b < c) (ha : a ≤ 1) (a0 : 0 < a) (c0 : 0 ≤ c) : b * a < c :=
calc b * a < c * a : mul_lt_mul_right bc a0
... ≤ c * 1 : mul_le_mul_left ha c0
... = c : mul_one c
lemma mul_lt_of_le_of_lt_one' [pos_mul_strict_mono α] [mul_pos_mono α]
(bc : b ≤ c) (ha : a < 1) (a0 : 0 ≤ a) (c0 : 0 < c) : b * a < c :=
calc b * a ≤ c * a : mul_le_mul_right bc a0
... < c * 1 : mul_lt_mul_left ha c0
... = c : mul_one c
/-! Lemmas of the form `b ≤ c → 1 ≤ a → b ≤ c * a`. -/
lemma le_mul_of_le_of_one_le [pos_mul_mono α]
(bc : b ≤ c) (ha : 1 ≤ a) (c0 : 0 ≤ c) : b ≤ c * a :=
c0.lt_or_eq.elim (preorder.le_mul_of_le_of_one_le bc ha)
(λ h, by rw [← h, zero_mul] at *; exact bc)
/-- Assumes left covariance. -/
lemma left.one_le_mul_of_le_of_le [pos_mul_mono α]
(ha : 1 ≤ a) (hb : 1 ≤ b) (a0 : 0 ≤ a) : 1 ≤ a * b :=
le_mul_of_le_of_one_le ha hb a0
lemma le_mul_of_le_of_one_le' [pos_mul_mono α] [mul_pos_mono α]
(bc : b ≤ c) (ha : 1 ≤ a) (a0 : 0 ≤ a) (b0 : 0 ≤ b) : b ≤ c * a :=
calc b = b * 1 : (mul_one b).symm
... ≤ b * a : mul_le_mul_left ha b0
... ≤ c * a : mul_le_mul_right bc a0
lemma lt_mul_of_le_of_one_lt' [pos_mul_strict_mono α] [mul_pos_mono α]
(bc : b ≤ c) (ha : 1 < a) (a0 : 0 ≤ a) (b0 : 0 < b) : b < c * a :=
calc b = b * 1 : (mul_one b).symm
... < b * a : mul_lt_mul_left ha b0
... ≤ c * a : mul_le_mul_right bc a0
lemma lt_mul_of_lt_of_one_le' [pos_mul_mono α] [mul_pos_strict_mono α]
(bc : b < c) (ha : 1 ≤ a) (a0 : 0 < a) (b0 : 0 ≤ b) : b < c * a :=
calc b = b * 1 : (mul_one b).symm
... ≤ b * a : mul_le_mul_left ha b0
... < c * a : mul_lt_mul_right bc a0
/-! Lemmas of the form `a ≤ 1 → b ≤ c → a * b ≤ c`. -/
lemma mul_le_of_le_one_of_le [mul_pos_mono α]
(ha : a ≤ 1) (bc : b ≤ c) (b0 : 0 ≤ b) : a * b ≤ c :=
b0.lt_or_eq.elim (preorder.mul_le_of_le_one_of_le ha bc)
(λ h, by rw [← h, mul_zero] at *; exact bc)
/-- Assumes right covariance. -/
lemma right.mul_le_one_of_le_of_le [mul_pos_mono α]
(ha : a ≤ 1) (hb : b ≤ 1) (b0 : 0 < b) : a * b ≤ 1 :=
preorder.mul_le_of_le_one_of_le ha hb b0
lemma mul_le_of_le_one_of_le' [pos_mul_mono α] [mul_pos_mono α]
(ha : a ≤ 1) (bc : b ≤ c) (a0 : 0 ≤ a) (c0 : 0 ≤ c) : a * b ≤ c :=
calc a * b ≤ a * c : mul_le_mul_left bc a0
... ≤ 1 * c : mul_le_mul_right ha c0
... = c : one_mul c
lemma mul_lt_of_lt_one_of_le' [pos_mul_mono α] [mul_pos_strict_mono α]
(ha : a < 1) (bc : b ≤ c) (a0 : 0 ≤ a) (c0 : 0 < c) : a * b < c :=
calc a * b ≤ a * c : mul_le_mul_left bc a0
... < 1 * c : mul_lt_mul_right ha c0
... = c : one_mul c
lemma mul_lt_of_le_one_of_lt' [pos_mul_strict_mono α] [mul_pos_mono α]
(ha : a ≤ 1) (bc : b < c) (a0 : 0 < a) (c0 : 0 ≤ c) : a * b < c :=
calc a * b < a * c : mul_lt_mul_left bc a0
... ≤ 1 * c : mul_le_mul_right ha c0
... = c : one_mul c
/-! Lemmas of the form `1 ≤ a → b ≤ c → b ≤ a * c`. -/
lemma le_mul_of_one_le_of_le [mul_pos_mono α]
(ha : 1 ≤ a) (bc : b ≤ c) (c0 : 0 ≤ c) : b ≤ a * c :=
c0.lt_or_eq.elim (preorder.le_mul_of_one_le_of_le ha bc)
(λ h, by rw [← h, mul_zero] at *; exact bc)
/-- Assumes right covariance. -/
lemma right.one_le_mul_of_le_of_le [mul_pos_mono α]
(ha : 1 ≤ a) (hb : 1 ≤ b) (b0 : 0 ≤ b) : 1 ≤ a * b :=
le_mul_of_one_le_of_le ha hb b0
lemma le_mul_of_one_le_of_le' [pos_mul_mono α] [mul_pos_mono α]
(ha : 1 ≤ a) (bc : b ≤ c) (a0 : 0 ≤ a) (b0 : 0 ≤ b) : b ≤ a * c :=
calc b = 1 * b : (one_mul b).symm
... ≤ a * b : mul_le_mul_right ha b0
... ≤ a * c : mul_le_mul_left bc a0
lemma lt_mul_of_one_lt_of_le' [pos_mul_mono α] [mul_pos_strict_mono α]
(ha : 1 < a) (bc : b ≤ c) (a0 : 0 ≤ a) (b0 : 0 < b) : b < a * c :=
calc b = 1 * b : (one_mul b).symm
... < a * b : mul_lt_mul_right ha b0
... ≤ a * c : mul_le_mul_left bc a0
lemma lt_mul_of_one_le_of_lt' [pos_mul_strict_mono α] [mul_pos_mono α]
(ha : 1 ≤ a) (bc : b < c) (a0 : 0 < a) (b0 : 0 ≤ b) : b < a * c :=
calc b = 1 * b : (one_mul b).symm
... ≤ a * b : mul_le_mul_right ha b0
... < a * c : mul_lt_mul_left bc a0
lemma mul_le_of_le_one_right [pos_mul_mono α] (h : b ≤ 1) (a0 : 0 ≤ a) :
a * b ≤ a :=
mul_le_of_le_of_le_one le_rfl h a0
lemma le_mul_of_one_le_right [pos_mul_mono α] (h : 1 ≤ b) (a0 : 0 ≤ a) :
a ≤ a * b :=
le_mul_of_le_of_one_le le_rfl h a0
lemma mul_le_of_le_one_left [mul_pos_mono α] (h : a ≤ 1) (b0 : 0 ≤ b) :
a * b ≤ b :=
mul_le_of_le_one_of_le h le_rfl b0
lemma le_mul_of_one_le_left [mul_pos_mono α] (h : 1 ≤ a) (b0 : 0 ≤ b) :
b ≤ a * b :=
le_mul_of_one_le_of_le h le_rfl b0
lemma le_of_mul_le_of_one_le_left [pos_mul_mono α]
(h : a * b ≤ c) (hle : 1 ≤ b) (a0 : 0 ≤ a) :
a ≤ c :=
a0.lt_or_eq.elim (preorder.le_of_mul_le_of_one_le_left h hle)
(λ ha, by simpa only [← ha, zero_mul] using h)
lemma le_of_le_mul_of_le_one_left [pos_mul_mono α]
(h : a ≤ b * c) (hle : c ≤ 1) (b0 : 0 ≤ b) :
a ≤ b :=
b0.lt_or_eq.elim (preorder.le_of_le_mul_of_le_one_left h hle)
(λ hb, by simpa only [← hb, zero_mul] using h)
lemma le_of_mul_le_of_one_le_right [mul_pos_mono α]
(h : a * b ≤ c) (hle : 1 ≤ a) (b0 : 0 ≤ b) :
b ≤ c :=
b0.lt_or_eq.elim (preorder.le_of_mul_le_of_one_le_right h hle)
(λ ha, by simpa only [← ha, mul_zero] using h)
lemma le_of_le_mul_of_le_one_right [mul_pos_mono α]
(h : a ≤ b * c) (hle : b ≤ 1) (c0 : 0 ≤ c) :
a ≤ c :=
c0.lt_or_eq.elim (preorder.le_of_le_mul_of_le_one_right h hle)
(λ ha, by simpa only [← ha, mul_zero] using h)
end partial_order
section linear_order
variables [linear_order α]
lemma exists_square_le [pos_mul_strict_mono α]
(a0 : 0 ≤ a) : ∃ (b : α), b * b ≤ a :=
a0.lt_or_eq.elim exists_square_le' (λ h, by rw [← h]; exact ⟨0, by simp⟩)
end linear_order
end mul_zero_one_class
section cancel_monoid_with_zero
variables [cancel_monoid_with_zero α]
section partial_order
variables [partial_order α]
lemma pos_mul_mono.to_pos_mul_strict_mono [pos_mul_mono α] : pos_mul_strict_mono α :=
⟨λ x a b h, lt_of_le_of_ne (mul_le_mul_left' h.le x.2) (h.ne ∘ mul_left_cancel₀ x.2.ne.symm)⟩
lemma pos_mul_mono_iff_pos_mul_strict_mono : pos_mul_mono α ↔ pos_mul_strict_mono α :=
⟨@pos_mul_mono.to_pos_mul_strict_mono α _ _, @zero_lt.pos_mul_strict_mono.to_pos_mul_mono α _ _ _⟩
lemma mul_pos_mono.to_mul_pos_strict_mono [mul_pos_mono α] : mul_pos_strict_mono α :=
⟨λ x a b h, lt_of_le_of_ne (mul_le_mul_right' h.le x.2) (h.ne ∘ mul_right_cancel₀ x.2.ne.symm)⟩
lemma mul_pos_mono_iff_mul_pos_strict_mono : mul_pos_mono α ↔ mul_pos_strict_mono α :=
⟨@mul_pos_mono.to_mul_pos_strict_mono α _ _, @zero_lt.mul_pos_strict_mono.to_mul_pos_mono α _ _ _⟩
lemma pos_mul_reflect_lt.to_pos_mul_mono_rev [pos_mul_reflect_lt α] : pos_mul_mono_rev α :=
⟨λ x a b h, h.eq_or_lt.elim (le_of_eq ∘ mul_left_cancel₀ x.2.ne.symm)
(λ h', (lt_of_mul_lt_mul_left' h' x.2).le)⟩
lemma pos_mul_mono_rev_iff_pos_mul_reflect_lt : pos_mul_mono_rev α ↔ pos_mul_reflect_lt α :=
⟨@zero_lt.pos_mul_mono_rev.to_pos_mul_reflect_lt α _ _ _,
@pos_mul_reflect_lt.to_pos_mul_mono_rev α _ _⟩
lemma mul_pos_reflect_lt.to_mul_pos_mono_rev [mul_pos_reflect_lt α] : mul_pos_mono_rev α :=
⟨λ x a b h, h.eq_or_lt.elim (le_of_eq ∘ mul_right_cancel₀ x.2.ne.symm)
(λ h', (lt_of_mul_lt_mul_right' h' x.2).le)⟩
lemma mul_pos_mono_rev_iff_mul_pos_reflect_lt : mul_pos_mono_rev α ↔ mul_pos_reflect_lt α :=
⟨@zero_lt.mul_pos_mono_rev.to_mul_pos_reflect_lt α _ _ _,
@mul_pos_reflect_lt.to_mul_pos_mono_rev α _ _⟩
end partial_order
end cancel_monoid_with_zero
section comm_semigroup_has_zero
variables [comm_semigroup α] [has_zero α]
variables [has_lt α]
lemma pos_mul_strict_mono_iff_mul_pos_strict_mono :
pos_mul_strict_mono α ↔ mul_pos_strict_mono α :=
by simp ! only [mul_comm]
lemma pos_mul_reflect_lt_iff_mul_pos_reflect_lt :
pos_mul_reflect_lt α ↔ mul_pos_reflect_lt α :=
by simp ! only [mul_comm]
variables [has_le α]
lemma pos_mul_mono_iff_mul_pos_mono :
pos_mul_mono α ↔ mul_pos_mono α :=
by simp ! only [mul_comm]
lemma pos_mul_mono_rev_iff_mul_pos_mono_rev :
pos_mul_mono_rev α ↔ mul_pos_mono_rev α :=
by simp ! only [mul_comm]
end comm_semigroup_has_zero
end zero_lt
|
bea143fb838df80228162b9ffd6771cde642b181 | 32025d5c2d6e33ad3b6dd8a3c91e1e838066a7f7 | /stage0/src/Lean/Meta/ExprDefEq.lean | fd4e854fa05ef5fb136543863668bd8ef3552c79 | [
"Apache-2.0"
] | permissive | walterhu1015/lean4 | b2c71b688975177402758924eaa513475ed6ce72 | 2214d81e84646a905d0b20b032c89caf89c737ad | refs/heads/master | 1,671,342,096,906 | 1,599,695,985,000 | 1,599,695,985,000 | null | 0 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 41,441 | 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.ProjFns
import Lean.Meta.WHNF
import Lean.Meta.InferType
import Lean.Meta.FunInfo
import Lean.Meta.LevelDefEq
import Lean.Meta.Check
import Lean.Meta.Offset
namespace Lean
namespace Meta
/--
Try to solve `a := (fun x => t) =?= b` by eta-expanding `b`.
Remark: eta-reduction is not a good alternative even in a system without universe cumulativity like Lean.
Example:
```
(fun x : A => f ?m) =?= f
```
The left-hand side of the constraint above it not eta-reduced because `?m` is a metavariable. -/
private def isDefEqEta (a b : Expr) : MetaM Bool :=
if a.isLambda && !b.isLambda then do
bType ← inferType b;
bType ← whnfD bType;
match bType with
| Expr.forallE n d _ c =>
let b' := mkLambda n c.binderInfo d (mkApp b (mkBVar 0));
commitWhen $ Meta.isExprDefEqAux a b'
| _ => pure false
else
pure false
/-- Support for `Lean.reduceBool` and `Lean.reduceNat` -/
def isDefEqNative (s t : Expr) : MetaM LBool := do
let isDefEq (s t) : MetaM LBool := toLBoolM $ Meta.isExprDefEqAux s t;
s? ← reduceNative? s;
t? ← reduceNative? t;
match s?, t? with
| some s, some t => isDefEq s t
| some s, none => isDefEq s t
| none, some t => isDefEq s t
| none, none => pure LBool.undef
/-- Support for reducing Nat basic operations. -/
def isDefEqNat (s t : Expr) : MetaM LBool := do
let isDefEq (s t) : MetaM LBool := toLBoolM $ Meta.isExprDefEqAux s t;
if s.hasFVar || s.hasMVar || t.hasFVar || t.hasMVar then
pure LBool.undef
else do
s? ← reduceNat? s;
t? ← reduceNat? t;
match s?, t? with
| some s, some t => isDefEq s t
| some s, none => isDefEq s t
| none, some t => isDefEq s t
| none, none => pure LBool.undef
/-- Support for constraints of the form `("..." =?= String.mk cs)` -/
def isDefEqStringLit (s t : Expr) : MetaM LBool := do
let isDefEq (s t) : MetaM LBool := toLBoolM $ Meta.isExprDefEqAux s t;
if s.isStringLit && t.isAppOf `String.mk then
isDefEq (toCtorIfLit s) t
else if s.isAppOf `String.mk && t.isStringLit then
isDefEq s (toCtorIfLit t)
else
pure LBool.undef
/--
Return `true` if `e` is of the form `fun (x_1 ... x_n) => ?m x_1 ... x_n)`, and `?m` is unassigned.
Remark: `n` may be 0. -/
def isEtaUnassignedMVar (e : Expr) : MetaM Bool :=
match e.etaExpanded? with
| some (Expr.mvar mvarId _) =>
condM (isReadOnlyOrSyntheticOpaqueExprMVar mvarId)
(pure false)
(condM (isExprMVarAssigned mvarId)
(pure false)
(pure true))
| _ => pure false
/-
First pass for `isDefEqArgs`. We unify explicit arguments, *and* easy cases
Here, we say a case is easy if it is of the form
?m =?= t
or
t =?= ?m
where `?m` is unassigned.
These easy cases are not just an optimization. When
`?m` is a function, by assigning it to t, we make sure
a unification constraint (in the explicit part)
```
?m t =?= f s
```
is not higher-order.
We also handle the eta-expanded cases:
```
fun x₁ ... xₙ => ?m x₁ ... xₙ =?= t
t =?= fun x₁ ... xₙ => ?m x₁ ... xₙ
This is important because type inference often produces
eta-expanded terms, and without this extra case, we could
introduce counter intuitive behavior.
Pre: `paramInfo.size <= args₁.size = args₂.size`
-/
private partial def isDefEqArgsFirstPass
(paramInfo : Array ParamInfo) (args₁ args₂ : Array Expr) : Nat → Array Nat → MetaM (Option (Array Nat))
| i, postponed =>
if h : i < paramInfo.size then
let info := paramInfo.get ⟨i, h⟩;
let a₁ := args₁.get! i;
let a₂ := args₂.get! i;
if info.implicit || info.instImplicit then
condM (isEtaUnassignedMVar a₁ <||> isEtaUnassignedMVar a₂)
(condM (Meta.isExprDefEqAux a₁ a₂)
(isDefEqArgsFirstPass (i+1) postponed)
(pure none))
(isDefEqArgsFirstPass (i+1) (postponed.push i))
else
condM (Meta.isExprDefEqAux a₁ a₂)
(isDefEqArgsFirstPass (i+1) postponed)
(pure none)
else
pure (some postponed)
private partial def isDefEqArgsAux (args₁ args₂ : Array Expr) (h : args₁.size = args₂.size) : Nat → MetaM Bool
| i =>
if h₁ : i < args₁.size then
let a₁ := args₁.get ⟨i, h₁⟩;
let a₂ := args₂.get ⟨i, h ▸ h₁⟩;
condM (Meta.isExprDefEqAux a₁ a₂)
(isDefEqArgsAux (i+1))
(pure false)
else
pure true
@[specialize] private def trySynthPending (e : Expr) : MetaM Bool := do
mvarId? ← getStuckMVar? e;
match mvarId? with
| some mvarId => Meta.synthPending mvarId
| none => pure false
private def isDefEqArgs (f : Expr) (args₁ args₂ : Array Expr) : MetaM Bool :=
if h : args₁.size = args₂.size then do
finfo ← getFunInfoNArgs f args₁.size;
(some postponed) ← isDefEqArgsFirstPass finfo.paramInfo args₁ args₂ 0 #[] | pure false;
(isDefEqArgsAux args₁ args₂ h finfo.paramInfo.size)
<&&>
(postponed.allM $ fun i => do
/- Second pass: unify implicit arguments.
In the second pass, we make sure we are unfolding at
least non reducible definitions (default setting). -/
let a₁ := args₁.get! i;
let a₂ := args₂.get! i;
let info := finfo.paramInfo.get! i;
when info.instImplicit $ do {
_ ← trySynthPending a₁;
_ ← trySynthPending a₂;
pure ()
};
withAtLeastTransparency TransparencyMode.default $ Meta.isExprDefEqAux a₁ a₂)
else
pure false
/--
Check whether the types of the free variables at `fvars` are
definitionally equal to the types at `ds₂`.
Pre: `fvars.size == ds₂.size`
This method also updates the set of local instances, and invokes
the continuation `k` with the updated set.
We can't use `withNewLocalInstances` because the `isDeq fvarType d₂`
may use local instances. -/
@[specialize] partial def isDefEqBindingDomain (fvars : Array Expr) (ds₂ : Array Expr) : Nat → MetaM Bool → MetaM Bool
| i, k =>
if h : i < fvars.size then do
let fvar := fvars.get ⟨i, h⟩;
fvarDecl ← getFVarLocalDecl fvar;
let fvarType := fvarDecl.type;
let d₂ := ds₂.get! i;
condM (Meta.isExprDefEqAux fvarType d₂)
(do c? ← isClass? fvarType;
match c? with
| some className => withNewLocalInstance className fvar $ isDefEqBindingDomain (i+1) k
| none => isDefEqBindingDomain (i+1) k)
(pure false)
else
k
/- Auxiliary function for `isDefEqBinding` for handling binders `forall/fun`.
It accumulates the new free variables in `fvars`, and declare them at `lctx`.
We use the domain types of `e₁` to create the new free variables.
We store the domain types of `e₂` at `ds₂`. -/
private partial def isDefEqBindingAux : LocalContext → Array Expr → Expr → Expr → Array Expr → MetaM Bool
| lctx, fvars, e₁, e₂, ds₂ =>
let process (n : Name) (d₁ d₂ b₁ b₂ : Expr) : MetaM Bool := do {
let d₁ := d₁.instantiateRev fvars;
let d₂ := d₂.instantiateRev fvars;
fvarId ← mkFreshId;
let lctx := lctx.mkLocalDecl fvarId n d₁;
let fvars := fvars.push (mkFVar fvarId);
isDefEqBindingAux lctx fvars b₁ b₂ (ds₂.push d₂)
};
match e₁, e₂ with
| Expr.forallE n d₁ b₁ _, Expr.forallE _ d₂ b₂ _ => process n d₁ d₂ b₁ b₂
| Expr.lam n d₁ b₁ _, Expr.lam _ d₂ b₂ _ => process n d₁ d₂ b₁ b₂
| _, _ =>
adaptReader (fun (ctx : Context) => { ctx with lctx := lctx }) $
isDefEqBindingDomain fvars ds₂ 0 $
Meta.isExprDefEqAux (e₁.instantiateRev fvars) (e₂.instantiateRev fvars)
@[inline] private def isDefEqBinding (a b : Expr) : MetaM Bool := do
lctx ← getLCtx;
isDefEqBindingAux lctx #[] a b #[]
private def checkTypesAndAssign (mvar : Expr) (v : Expr) : MetaM Bool :=
traceCtx `Meta.isDefEq.assign.checkTypes $ do
-- must check whether types are definitionally equal or not, before assigning and returning true
mvarType ← inferType mvar;
vType ← inferType v;
condM (withTransparency TransparencyMode.default $ Meta.isExprDefEqAux mvarType vType)
(do trace! `Meta.isDefEq.assign.final (mvar ++ " := " ++ v);
assignExprMVar mvar.mvarId! v; pure true)
(do trace `Meta.isDefEq.assign.typeMismatch $ fun _ => mvar ++ " : " ++ mvarType ++ " := " ++ v ++ " : " ++ vType;
pure false)
/-
Each metavariable is declared in a particular local context.
We use the notation `C |- ?m : t` to denote a metavariable `?m` that
was declared at the local context `C` with type `t` (see `MetavarDecl`).
We also use `?m@C` as a shorthand for `C |- ?m : t` where `t` is the type of `?m`.
The following method process the unification constraint
?m@C a₁ ... aₙ =?= t
We say the unification constraint is a pattern IFF
1) `a₁ ... aₙ` are pairwise distinct free variables that are *not* let-variables.
2) `a₁ ... aₙ` are not in `C`
3) `t` only contains free variables in `C` and/or `{a₁, ..., aₙ}`
4) For every metavariable `?m'@C'` occurring in `t`, `C'` is a subprefix of `C`
5) `?m` does not occur in `t`
Claim: we don't have to check free variable declarations. That is,
if `t` contains a reference to `x : A := v`, we don't need to check `v`.
Reason: The reference to `x` is a free variable, and it must be in `C` (by 1 and 3).
If `x` is in `C`, then any metavariable occurring in `v` must have been defined in a strict subprefix of `C`.
So, condition 4 and 5 are satisfied.
If the conditions above have been satisfied, then the
solution for the unification constrain is
?m := fun a₁ ... aₙ => t
Now, we consider some workarounds/approximations.
A1) Suppose `t` contains a reference to `x : A := v` and `x` is not in `C` (failed condition 3)
(precise) solution: unfold `x` in `t`.
A2) Suppose some `aᵢ` is in `C` (failed condition 2)
(approximated) solution (when `config.foApprox` is set to true) :
ignore condition and also use
?m := fun a₁ ... aₙ => t
Here is an example where this approximation fails:
Given `C` containing `a : nat`, consider the following two constraints
?m@C a =?= a
?m@C b =?= a
If we use the approximation in the first constraint, we get
?m := fun x => x
when we apply this solution to the second one we get a failure.
IMPORTANT: When applying this approximation we need to make sure the
abstracted term `fun a₁ ... aₙ => t` is type correct. The check
can only be skipped in the pattern case described above. Consider
the following example. Given the local context
(α : Type) (a : α)
we try to solve
?m α =?= @id α a
If we use the approximation above we obtain:
?m := (fun α' => @id α' a)
which is a type incorrect term. `a` has type `α` but it is expected to have
type `α'`.
The problem occurs because the right hand side contains a free variable
`a` that depends on the free variable `α` being abstracted. Note that
this dependency cannot occur in patterns.
We can address this by type checking
the term after abstraction. This is not a significant performance
bottleneck because this case doesn't happen very often in practice
(262 times when compiling stdlib on Jan 2018). The second example
is trickier, but it also occurs less frequently (8 times when compiling
stdlib on Jan 2018, and all occurrences were at Init/Control when
we define monads and auxiliary combinators for them).
We considered three options for the addressing the issue on the second example:
A3) `a₁ ... aₙ` are not pairwise distinct (failed condition 1).
In Lean3, we would try to approximate this case using an approach similar to A2.
However, this approximation complicates the code, and is never used in the
Lean3 stdlib and mathlib.
A4) `t` contains a metavariable `?m'@C'` where `C'` is not a subprefix of `C`.
If `?m'` is assigned, we substitute.
If not, we create an auxiliary metavariable with a smaller scope.
Actually, we let `elimMVarDeps` at `MetavarContext.lean` to perform this step.
A5) If some `aᵢ` is not a free variable,
then we use first-order unification (if `config.foApprox` is set to true)
?m a_1 ... a_i a_{i+1} ... a_{i+k} =?= f b_1 ... b_k
reduces to
?M a_1 ... a_i =?= f
a_{i+1} =?= b_1
...
a_{i+k} =?= b_k
A6) If (m =?= v) is of the form
?m a_1 ... a_n =?= ?m b_1 ... b_k
then we use first-order unification (if `config.foApprox` is set to true)
-/
namespace CheckAssignment
def registerCheckAssignmentId : IO InternalExceptionId :=
registerInternalExceptionId `checkAssignment
@[init registerCheckAssignmentId, matchPattern]
constant checkAssignmentExceptionId : InternalExceptionId := arbitrary _
def registerOutOfScopeId : IO InternalExceptionId :=
registerInternalExceptionId `outOfScope
@[init registerOutOfScopeId, matchPattern]
constant outOfScopeExceptionId : InternalExceptionId := arbitrary _
structure State :=
(cache : ExprStructMap Expr := {})
structure Context :=
(mvarId : MVarId)
(mvarDecl : MetavarDecl)
(fvars : Array Expr)
(hasCtxLocals : Bool)
(rhs : Expr)
abbrev CheckAssignmentM := ReaderT Context $ StateRefT State $ MetaM
def throwCheckAssignmentFailure {α} : CheckAssignmentM α :=
throw $ Exception.internal checkAssignmentExceptionId
def throwOutOfScopeFVar {α} : CheckAssignmentM α :=
throw $ Exception.internal outOfScopeExceptionId
private def findCached? (e : Expr) : CheckAssignmentM (Option Expr) := do
s ← get;
pure $ s.cache.find? e
private def cache (e r : Expr) : CheckAssignmentM Unit := do
modify fun s => { s with cache := s.cache.insert e r }
instance : MonadCache Expr Expr CheckAssignmentM :=
{ findCached? := findCached?, cache := cache }
@[inline] private def visit (f : Expr → CheckAssignmentM Expr) (e : Expr) : CheckAssignmentM Expr :=
if !e.hasExprMVar && !e.hasFVar then pure e else checkCache e f
private def addAssignmentInfo (msg : MessageData) : CheckAssignmentM MessageData := do
ctx ← read;
pure $ msg ++ " @ " ++ mkMVar ctx.mvarId ++ " " ++ ctx.fvars ++ " := " ++ ctx.rhs
@[specialize] def checkFVar (check : Expr → CheckAssignmentM Expr) (fvar : Expr) : CheckAssignmentM Expr := do
ctxMeta ← readThe Meta.Context;
ctx ← read;
if ctx.mvarDecl.lctx.containsFVar fvar then pure fvar
else do
let lctx := ctxMeta.lctx;
match lctx.findFVar? fvar with
| some (LocalDecl.ldecl _ _ _ _ v _) => visit check v
| _ =>
if ctx.fvars.contains fvar then pure fvar
else do
traceM `Meta.isDefEq.assign.outOfScopeFVar $ addAssignmentInfo fvar;
throwOutOfScopeFVar
def mkAuxMVar (lctx : LocalContext) (localInsts : LocalInstances) (type : Expr) : CheckAssignmentM Expr := do
mkFreshExprMVarAt lctx localInsts type
@[specialize] def checkMVar (check : Expr → CheckAssignmentM Expr) (mvar : Expr) : CheckAssignmentM Expr := do
let mvarId := mvar.mvarId!;
ctx ← read;
mctx ← getMCtx;
if mvarId == ctx.mvarId then do
traceM `Meta.isDefEq.assign.occursCheck $ addAssignmentInfo "occurs check failed";
throwCheckAssignmentFailure
else match mctx.getExprAssignment? mvarId with
| some v => check v
| none => match mctx.findDecl? mvarId with
| none => liftM $ throwUnknownMVar mvarId
| some mvarDecl =>
if ctx.hasCtxLocals then
throwCheckAssignmentFailure -- It is not a pattern, then we fail and fall back to FO unification
else if mvarDecl.lctx.isSubPrefixOf ctx.mvarDecl.lctx ctx.fvars then
/- The local context of `mvar` - free variables being abstracted is a subprefix of the metavariable being assigned.
We "substract" variables being abstracted because we use `elimMVarDeps` -/
pure mvar
else if mvarDecl.depth != mctx.depth || mvarDecl.kind.isSyntheticOpaque then do
traceM `Meta.isDefEq.assign.readOnlyMVarWithBiggerLCtx $ addAssignmentInfo (mkMVar mvarId);
throwCheckAssignmentFailure
else do
ctxMeta ← readThe Meta.Context;
if ctxMeta.config.ctxApprox && ctx.mvarDecl.lctx.isSubPrefixOf mvarDecl.lctx then do
mvarType ← check mvarDecl.type;
/- Create an auxiliary metavariable with a smaller context and "checked" type.
Note that `mvarType` may be different from `mvarDecl.type`. Example: `mvarType` contains
a metavariable that we also need to reduce the context. -/
newMVar ← mkAuxMVar ctx.mvarDecl.lctx ctx.mvarDecl.localInstances mvarType;
modifyThe Meta.State (fun s => { s with mctx := s.mctx.assignExpr mvarId newMVar });
pure newMVar
else
pure mvar
/-
Auxiliary function used to "fix" subterms of the form `?m x_1 ... x_n` where `x_i`s are free variables,
and one of them is out-of-scope.
See `Expr.app` case at `check`.
If `ctxApprox` is true, then we solve this case by creating a fresh metavariable ?n with the correct scope,
an assigning `?m := fun _ ... _ => ?n` -/
def assignToConstFun (mvar : Expr) (numArgs : Nat) (newMVar : Expr) : MetaM Bool := do
mvarType ← inferType mvar;
forallBoundedTelescope mvarType numArgs $ fun xs _ =>
if xs.size != numArgs then pure false
else do
v ← mkLambdaFVars xs newMVar;
checkTypesAndAssign mvar v
partial def check : Expr → CheckAssignmentM Expr
| e@(Expr.mdata _ b _) => do b ← visit check b; pure $ e.updateMData! b
| e@(Expr.proj _ _ s _) => do s ← visit check s; pure $ e.updateProj! s
| e@(Expr.lam _ d b _) => do d ← visit check d; b ← visit check b; pure $ e.updateLambdaE! d b
| e@(Expr.forallE _ d b _) => do d ← visit check d; b ← visit check b; pure $ e.updateForallE! d b
| e@(Expr.letE _ t v b _) => do t ← visit check t; v ← visit check v; b ← visit check b; pure $ e.updateLet! t v b
| e@(Expr.bvar _ _) => pure e
| e@(Expr.sort _ _) => pure e
| e@(Expr.const _ _ _) => pure e
| e@(Expr.lit _ _) => pure e
| e@(Expr.fvar _ _) => visit (checkFVar check) e
| e@(Expr.mvar _ _) => visit (checkMVar check) e
| Expr.localE _ _ _ _ => unreachable!
| e@(Expr.app _ _ _) => e.withApp $ fun f args => do
ctxMeta ← readThe Meta.Context;
if f.isMVar && ctxMeta.config.ctxApprox && args.all Expr.isFVar then do
f ← visit (checkMVar check) f;
catchInternalId outOfScopeExceptionId
(do
args ← args.mapM (visit check);
pure $ mkAppN f args)
(fun ex =>
condM (isDelayedAssigned f.mvarId!) (throw ex) do
eType ← inferType e;
mvarType ← check eType;
/- Create an auxiliary metavariable with a smaller context and "checked" type, assign `?f := fun _ => ?newMVar`
Note that `mvarType` may be different from `eType`. -/
ctx ← read;
newMVar ← mkAuxMVar ctx.mvarDecl.lctx ctx.mvarDecl.localInstances mvarType;
condM (liftM $ assignToConstFun f args.size newMVar)
(pure newMVar)
(throw ex))
else do
f ← visit check f;
args ← args.mapM (visit check);
pure $ mkAppN f args
@[inline] def run (x : CheckAssignmentM Expr) (mvarId : MVarId) (fvars : Array Expr) (hasCtxLocals : Bool) (v : Expr) : MetaM (Option Expr) := do
mvarDecl ← getMVarDecl mvarId;
let ctx := { mvarId := mvarId, mvarDecl := mvarDecl, fvars := fvars, hasCtxLocals := hasCtxLocals, rhs := v : Context };
let x : CheckAssignmentM (Option Expr) :=
catchInternalIds [outOfScopeExceptionId, checkAssignmentExceptionId]
(do e ← x; pure $ some e)
(fun _ => pure none);
(x.run ctx).run' {}
end CheckAssignment
namespace CheckAssignmentQuick
@[inline] private def visit (f : Expr → Bool) (e : Expr) : Bool :=
if !e.hasExprMVar && !e.hasFVar then true else f e
partial def check
(hasCtxLocals ctxApprox : Bool)
(mctx : MetavarContext) (lctx : LocalContext) (mvarDecl : MetavarDecl) (mvarId : MVarId) (fvars : Array Expr) : Expr → Bool
| e@(Expr.mdata _ b _) => check b
| e@(Expr.proj _ _ s _) => check s
| e@(Expr.app f a _) => visit check f && visit check a
| e@(Expr.lam _ d b _) => visit check d && visit check b
| e@(Expr.forallE _ d b _) => visit check d && visit check b
| e@(Expr.letE _ t v b _) => visit check t && visit check v && visit check b
| e@(Expr.bvar _ _) => true
| e@(Expr.sort _ _) => true
| e@(Expr.const _ _ _) => true
| e@(Expr.lit _ _) => true
| e@(Expr.fvar fvarId _) =>
if mvarDecl.lctx.contains fvarId then true
else match lctx.find? fvarId with
| some (LocalDecl.ldecl _ _ _ _ v _) => false -- need expensive CheckAssignment.check
| _ =>
if fvars.any $ fun x => x.fvarId! == fvarId then true
else false -- We could throw an exception here, but we would have to use ExceptM. So, we let CheckAssignment.check do it
| e@(Expr.mvar mvarId' _) => do
match mctx.getExprAssignment? mvarId' with
| some _ => false -- use CheckAssignment.check to instantiate
| none =>
if mvarId' == mvarId then false -- occurs check failed, use CheckAssignment.check to throw exception
else match mctx.findDecl? mvarId' with
| none => false
| some mvarDecl' =>
if hasCtxLocals then false -- use CheckAssignment.check
else if mvarDecl'.lctx.isSubPrefixOf mvarDecl.lctx fvars then true
else if mvarDecl'.depth != mctx.depth || mvarDecl'.kind.isSyntheticOpaque then false -- use CheckAssignment.check
else if ctxApprox && mvarDecl.lctx.isSubPrefixOf mvarDecl'.lctx then false -- use CheckAssignment.check
else true
| Expr.localE _ _ _ _ => unreachable!
end CheckAssignmentQuick
-- See checkAssignment
def checkAssignmentAux (mvarId : MVarId) (fvars : Array Expr) (hasCtxLocals : Bool) (v : Expr) : MetaM (Option Expr) := do
CheckAssignment.run (CheckAssignment.check v) mvarId fvars hasCtxLocals v
/--
Auxiliary function for handling constraints of the form `?m a₁ ... aₙ =?= v`.
It will check whether we can perform the assignment
```
?m := fun fvars => t
```
The result is `none` if the assignment can't be performed.
The result is `some newV` where `newV` is a possibly updated `v`. This method may need
to unfold let-declarations. -/
def checkAssignment (mvarId : MVarId) (fvars : Array Expr) (v : Expr) : MetaM (Option Expr) := do
if !v.hasExprMVar && !v.hasFVar then
pure (some v)
else do
mvarDecl ← getMVarDecl mvarId;
let hasCtxLocals := fvars.any $ fun fvar => mvarDecl.lctx.containsFVar fvar;
ctx ← read;
mctx ← getMCtx;
if CheckAssignmentQuick.check hasCtxLocals ctx.config.ctxApprox mctx ctx.lctx mvarDecl mvarId fvars v then
pure (some v)
else do
v ← instantiateMVars v;
checkAssignmentAux mvarId fvars hasCtxLocals v
private def processAssignmentFOApproxAux (mvar : Expr) (args : Array Expr) (v : Expr) : MetaM Bool :=
match v with
| Expr.app f a _ => Meta.isExprDefEqAux args.back a <&&> Meta.isExprDefEqAux (mkAppRange mvar 0 (args.size - 1) args) f
| _ => pure false
/-
Auxiliary method for applying first-order unification. It is an approximation.
Remark: this method is trying to solve the unification constraint:
?m a₁ ... aₙ =?= v
It is uses processAssignmentFOApproxAux, if it fails, it tries to unfold `v`.
We have added support for unfolding here because we want to be able to solve unification problems such as
?m Unit =?= ITactic
where `ITactic` is defined as
def ITactic := Tactic Unit
-/
private partial def processAssignmentFOApprox (mvar : Expr) (args : Array Expr) : Expr → MetaM Bool
| v => do
cfg ← getConfig;
if !cfg.foApprox then pure false
else do
trace! `Meta.isDefEq.foApprox (mvar ++ " " ++ args ++ " := " ++ v);
condM (commitWhen $ processAssignmentFOApproxAux mvar args v)
(pure true)
(do v? ← unfoldDefinition? v;
match v? with
| none => pure false
| some v => processAssignmentFOApprox v)
private partial def simpAssignmentArgAux : Expr → MetaM Expr
| Expr.mdata _ e _ => simpAssignmentArgAux e
| e@(Expr.fvar fvarId _) => do
decl ← getLocalDecl fvarId;
match decl.value? with
| some value => simpAssignmentArgAux value
| _ => pure e
| e => pure e
/- Auxiliary procedure for processing `?m a₁ ... aₙ =?= v`.
We apply it to each `aᵢ`. It instantiates assigned metavariables if `aᵢ` is of the form `f[?n] b₁ ... bₘ`,
and then removes metadata, and zeta-expand let-decls. -/
private def simpAssignmentArg (arg : Expr) : MetaM Expr := do
arg ← if arg.getAppFn.hasExprMVar then instantiateMVars arg else pure arg;
simpAssignmentArgAux arg
private def processConstApprox (mvar : Expr) (numArgs : Nat) (v : Expr) : MetaM Bool := do
cfg ← getConfig;
if cfg.constApprox then do
let mvarId := mvar.mvarId!;
v? ← checkAssignment mvarId #[] v;
match v? with
| none => pure false
| some v => do
mvarDecl ← getMVarDecl mvarId;
forallBoundedTelescope mvarDecl.type numArgs $ fun xs _ =>
if xs.size != numArgs then pure false
else do
v ← mkLambdaFVars xs v;
checkTypesAndAssign mvar v
else
pure false
private partial def processAssignmentAux (mvar : Expr) (mvarDecl : MetavarDecl) : Nat → Array Expr → Expr → MetaM Bool
| i, args, v => do
cfg ← getConfig;
let useFOApprox (args : Array Expr) : MetaM Bool :=
processAssignmentFOApprox mvar args v <||> processConstApprox mvar args.size v;
if h : i < args.size then do
let arg := args.get ⟨i, h⟩;
arg ← simpAssignmentArg arg;
let args := args.set ⟨i, h⟩ arg;
match arg with
| Expr.fvar fvarId _ =>
if args.anyRange 0 i (fun prevArg => prevArg == arg) then
useFOApprox args
else if mvarDecl.lctx.contains fvarId && !cfg.quasiPatternApprox then
useFOApprox args
else
processAssignmentAux (i+1) args v
| _ =>
useFOApprox args
else do
v ← instantiateMVars v; -- enforce A4
if v.getAppFn == mvar then
-- using A6
useFOApprox args
else do
let mvarId := mvar.mvarId!;
v? ← checkAssignment mvarId args v;
match v? with
| none => useFOApprox args
| some v => do
trace `Meta.isDefEq.assign.beforeMkLambda $ fun _ => mvar ++ " " ++ args ++ " := " ++ v;
v ← mkLambdaFVars args v;
if args.any (fun arg => mvarDecl.lctx.containsFVar arg) then
/- We need to type check `v` because abstraction using `mkLambdaFVars` may have produced
a type incorrect term. See discussion at A2 -/
condM (isTypeCorrect v)
(checkTypesAndAssign mvar v)
(do trace `Meta.isDefEq.assign.typeError $ fun _ => mvar ++ " := " ++ v;
useFOApprox args)
else
checkTypesAndAssign mvar v
/-- Tries to solve `?m a₁ ... aₙ =?= v` by assigning `?m`.
It assumes `?m` is unassigned. -/
private def processAssignment (mvarApp : Expr) (v : Expr) : MetaM Bool :=
traceCtx `Meta.isDefEq.assign $ do
trace! `Meta.isDefEq.assign (mvarApp ++ " := " ++ v);
let mvar := mvarApp.getAppFn;
mvarDecl ← getMVarDecl mvar.mvarId!;
processAssignmentAux mvar mvarDecl 0 mvarApp.getAppArgs v
private def isDeltaCandidate? (t : Expr) : MetaM (Option ConstantInfo) :=
match t.getAppFn with
| Expr.const c _ _ => getConst? c
| _ => pure none
/-- Auxiliary method for isDefEqDelta -/
private def isListLevelDefEq (us vs : List Level) : MetaM LBool :=
toLBoolM $ isListLevelDefEqAux us vs
/-- Auxiliary method for isDefEqDelta -/
private def isDefEqLeft (fn : Name) (t s : Expr) : MetaM LBool := do
trace! `Meta.isDefEq.delta.unfoldLeft fn;
toLBoolM $ Meta.isExprDefEqAux t s
/-- Auxiliary method for isDefEqDelta -/
private def isDefEqRight (fn : Name) (t s : Expr) : MetaM LBool := do
trace! `Meta.isDefEq.delta.unfoldRight fn;
toLBoolM $ Meta.isExprDefEqAux t s
/-- Auxiliary method for isDefEqDelta -/
private def isDefEqLeftRight (fn : Name) (t s : Expr) : MetaM LBool := do
trace! `Meta.isDefEq.delta.unfoldLeftRight fn;
toLBoolM $ Meta.isExprDefEqAux t s
/-- Try to solve `f a₁ ... aₙ =?= f b₁ ... bₙ` by solving `a₁ =?= b₁, ..., aₙ =?= bₙ`.
Auxiliary method for isDefEqDelta -/
private def tryHeuristic (t s : Expr) : MetaM Bool :=
let tFn := t.getAppFn;
let sFn := s.getAppFn;
traceCtx `Meta.isDefEq.delta $
commitWhen $ do
b ← isDefEqArgs tFn t.getAppArgs s.getAppArgs
<&&>
isListLevelDefEqAux tFn.constLevels! sFn.constLevels!;
unless b $ trace! `Meta.isDefEq.delta ("heuristic failed " ++ t ++ " =?= " ++ s);
pure b
/-- Auxiliary method for isDefEqDelta -/
private abbrev unfold {α} (e : Expr) (failK : MetaM α) (successK : Expr → MetaM α) : MetaM α := do
e? ← unfoldDefinition? e;
match e? with
| some e => successK e
| none => failK
/-- Auxiliary method for isDefEqDelta -/
private def unfoldBothDefEq (fn : Name) (t s : Expr) : MetaM LBool :=
match t, s with
| Expr.const _ ls₁ _, Expr.const _ ls₂ _ => isListLevelDefEq ls₁ ls₂
| Expr.app _ _ _, Expr.app _ _ _ =>
condM (tryHeuristic t s)
(pure LBool.true)
(unfold t
(unfold s (pure LBool.false) (fun s => isDefEqRight fn t s))
(fun t => unfold s (isDefEqLeft fn t s) (fun s => isDefEqLeftRight fn t s)))
| _, _ => pure LBool.false
private def sameHeadSymbol (t s : Expr) : Bool :=
match t.getAppFn, s.getAppFn with
| Expr.const c₁ _ _, Expr.const c₂ _ _ => true
| _, _ => false
/--
- If headSymbol (unfold t) == headSymbol s, then unfold t
- If headSymbol (unfold s) == headSymbol t, then unfold s
- Otherwise unfold t and s if possible.
Auxiliary method for isDefEqDelta -/
private def unfoldComparingHeadsDefEq (tInfo sInfo : ConstantInfo) (t s : Expr) : MetaM LBool :=
unfold t
(unfold s
(pure LBool.undef) -- `t` and `s` failed to be unfolded
(fun s => isDefEqRight sInfo.name t s))
(fun tNew =>
if sameHeadSymbol tNew s then
isDefEqLeft tInfo.name tNew s
else
unfold s
(isDefEqLeft tInfo.name tNew s)
(fun sNew =>
if sameHeadSymbol t sNew then
isDefEqRight sInfo.name t sNew
else
isDefEqLeftRight tInfo.name tNew sNew))
/-- If `t` and `s` do not contain metavariables, then use
kernel definitional equality heuristics.
Otherwise, use `unfoldComparingHeadsDefEq`.
Auxiliary method for isDefEqDelta -/
private def unfoldDefEq (tInfo sInfo : ConstantInfo) (t s : Expr) : MetaM LBool :=
if !t.hasExprMVar && !s.hasExprMVar then
/- If `t` and `s` do not contain metavariables,
we simulate strategy used in the kernel. -/
if tInfo.hints.lt sInfo.hints then
unfold t (unfoldComparingHeadsDefEq tInfo sInfo t s) $ fun t => isDefEqLeft tInfo.name t s
else if sInfo.hints.lt tInfo.hints then
unfold s (unfoldComparingHeadsDefEq tInfo sInfo t s) $ fun s => isDefEqRight sInfo.name t s
else
unfoldComparingHeadsDefEq tInfo sInfo t s
else
unfoldComparingHeadsDefEq tInfo sInfo t s
/--
When `TransparencyMode` is set to `default` or `all`.
If `t` is reducible and `s` is not ==> `isDefEqLeft (unfold t) s`
If `s` is reducible and `t` is not ==> `isDefEqRight t (unfold s)`
Otherwise, use `unfoldDefEq`
Auxiliary method for isDefEqDelta -/
private def unfoldReducibeDefEq (tInfo sInfo : ConstantInfo) (t s : Expr) : MetaM LBool :=
condM shouldReduceReducibleOnly
(unfoldDefEq tInfo sInfo t s)
(do tReducible ← Meta.isReducible tInfo.name;
sReducible ← Meta.isReducible sInfo.name;
if tReducible && !sReducible then
unfold t (unfoldDefEq tInfo sInfo t s) $ fun t => isDefEqLeft tInfo.name t s
else if !tReducible && sReducible then
unfold s (unfoldDefEq tInfo sInfo t s) $ fun s => isDefEqRight sInfo.name t s
else
unfoldDefEq tInfo sInfo t s)
/--
If `t` is a projection function application and `s` is not ==> `isDefEqRight t (unfold s)`
If `s` is a projection function application and `t` is not ==> `isDefEqRight (unfold t) s`
Otherwise, use `unfoldReducibeDefEq`
Auxiliary method for isDefEqDelta -/
private def unfoldNonProjFnDefEq (tInfo sInfo : ConstantInfo) (t s : Expr) : MetaM LBool := do
env ← getEnv;
let tProj? := env.isProjectionFn tInfo.name;
let sProj? := env.isProjectionFn sInfo.name;
if tProj? && !sProj? then
unfold s (unfoldDefEq tInfo sInfo t s) $ fun s => isDefEqRight sInfo.name t s
else if !tProj? && sProj? then
unfold t (unfoldDefEq tInfo sInfo t s) $ fun t => isDefEqLeft tInfo.name t s
else
unfoldReducibeDefEq tInfo sInfo t s
/--
isDefEq by lazy delta reduction.
This method implements many different heuristics:
1- If only `t` can be unfolded => then unfold `t` and continue
2- If only `s` can be unfolded => then unfold `s` and continue
3- If `t` and `s` can be unfolded and they have the same head symbol, then
a) First try to solve unification by unifying arguments.
b) If it fails, unfold both and continue.
Implemented by `unfoldBothDefEq`
4- If `t` is a projection function application and `s` is not => then unfold `s` and continue.
5- If `s` is a projection function application and `t` is not => then unfold `t` and continue.
Remark: 4&5 are implemented by `unfoldNonProjFnDefEq`
6- If `t` is reducible and `s` is not => then unfold `t` and continue.
7- If `s` is reducible and `t` is not => then unfold `s` and continue
Remark: 6&7 are implemented by `unfoldReducibeDefEq`
8- If `t` and `s` do not contain metavariables, then use heuristic used in the Kernel.
Implemented by `unfoldDefEq`
9- If `headSymbol (unfold t) == headSymbol s`, then unfold t and continue.
10- If `headSymbol (unfold s) == headSymbol t`, then unfold s
11- Otherwise, unfold `t` and `s` and continue.
Remark: 9&10&11 are implemented by `unfoldComparingHeadsDefEq` -/
private def isDefEqDelta (t s : Expr) : MetaM LBool := do
tInfo? ← isDeltaCandidate? t.getAppFn;
sInfo? ← isDeltaCandidate? s.getAppFn;
match tInfo?, sInfo? with
| none, none => pure LBool.undef
| some tInfo, none => unfold t (pure LBool.undef) $ fun t => isDefEqLeft tInfo.name t s
| none, some sInfo => unfold s (pure LBool.undef) $ fun s => isDefEqRight sInfo.name t s
| some tInfo, some sInfo =>
if tInfo.name == sInfo.name then
unfoldBothDefEq tInfo.name t s
else
unfoldNonProjFnDefEq tInfo sInfo t s
private def isAssigned : Expr → MetaM Bool
| Expr.mvar mvarId _ => isExprMVarAssigned mvarId
| _ => pure false
private def isDelayedAssignedHead (tFn : Expr) (t : Expr) : MetaM Bool :=
match tFn with
| Expr.mvar mvarId _ => do
condM (isDelayedAssigned mvarId)
(do tNew ← instantiateMVars t;
pure $ tNew != t)
(pure false)
| _ => pure false
private def isSynthetic : Expr → MetaM Bool
| Expr.mvar mvarId _ => do
mvarDecl ← getMVarDecl mvarId;
match mvarDecl.kind with
| MetavarKind.synthetic => pure true
| MetavarKind.syntheticOpaque => pure true
| MetavarKind.natural => pure false
| _ => pure false
private def isAssignable : Expr → MetaM Bool
| Expr.mvar mvarId _ => do b ← isReadOnlyOrSyntheticOpaqueExprMVar mvarId; pure (!b)
| _ => pure false
private def etaEq (t s : Expr) : Bool :=
match t.etaExpanded? with
| some t => t == s
| none => false
private def isLetFVar (fvarId : FVarId) : MetaM Bool := do
decl ← getLocalDecl fvarId;
pure decl.isLet
private def isDefEqProofIrrel (t s : Expr) : MetaM LBool := do
status ← isProofQuick t;
match status with
| LBool.false =>
pure LBool.undef
| LBool.true => do
tType ← inferType t;
sType ← inferType s;
toLBoolM $ Meta.isExprDefEqAux tType sType
| LBool.undef => do
tType ← inferType t;
condM (isProp tType)
(do sType ← inferType s; toLBoolM $ Meta.isExprDefEqAux tType sType)
(pure LBool.undef)
private partial def isDefEqQuick : Expr → Expr → MetaM LBool
| Expr.lit l₁ _, Expr.lit l₂ _ => pure (l₁ == l₂).toLBool
| Expr.sort u _, Expr.sort v _ => toLBoolM $ isLevelDefEqAux u v
| t@(Expr.lam _ _ _ _), s@(Expr.lam _ _ _ _) => if t == s then pure LBool.true else toLBoolM $ isDefEqBinding t s
| t@(Expr.forallE _ _ _ _), s@(Expr.forallE _ _ _ _) => if t == s then pure LBool.true else toLBoolM $ isDefEqBinding t s
| Expr.mdata _ t _, s => isDefEqQuick t s
| t, Expr.mdata _ s _ => isDefEqQuick t s
| t@(Expr.fvar fvarId₁ _), s@(Expr.fvar fvarId₂ _) =>
condM (isLetFVar fvarId₁ <||> isLetFVar fvarId₂)
(pure LBool.undef)
(if fvarId₁ == fvarId₂ then pure LBool.true else isDefEqProofIrrel t s)
| t, s =>
cond (t == s) (pure LBool.true) $
cond (etaEq t s || etaEq s t) (pure LBool.true) $ -- t =?= (fun xs => t xs)
let tFn := t.getAppFn;
let sFn := s.getAppFn;
cond (!tFn.isMVar && !sFn.isMVar) (pure LBool.undef) $
condM (isAssigned tFn) (do t ← instantiateMVars t; isDefEqQuick t s) $
condM (isAssigned sFn) (do s ← instantiateMVars s; isDefEqQuick t s) $
condM (isDelayedAssignedHead tFn t) (do t ← instantiateMVars t; isDefEqQuick t s) $
condM (isDelayedAssignedHead sFn s) (do s ← instantiateMVars s; isDefEqQuick t s) $
condM (isSynthetic tFn <&&> trySynthPending tFn) (do t ← instantiateMVars t; isDefEqQuick t s) $
condM (isSynthetic sFn <&&> trySynthPending sFn) (do s ← instantiateMVars s; isDefEqQuick t s) $ do
tAssign? ← isAssignable tFn;
sAssign? ← isAssignable sFn;
trace! `Meta.isDefEq
(t ++ (if tAssign? then " [assignable]" else " [nonassignable]") ++ " =?= " ++ s ++ (if sAssign? then " [assignable]" else " [nonassignable]"));
let assign (t s : Expr) : MetaM LBool := toLBoolM $ processAssignment t s;
cond (tAssign? && !sAssign?) (assign t s) $
cond (!tAssign? && sAssign?) (assign s t) $
cond (!tAssign? && !sAssign?)
(if tFn.isMVar || sFn.isMVar then do
ctx ← read;
if ctx.config.isDefEqStuckEx then do
trace! `Meta.isDefEq.stuck (t ++ " =?= " ++ s);
Meta.throwIsDefEqStuck
else pure LBool.false
else pure LBool.undef) $ do
-- Both `t` and `s` are terms of the form `?m ...`
tMVarDecl ← getMVarDecl tFn.mvarId!;
sMVarDecl ← getMVarDecl sFn.mvarId!;
if s.isMVar && !t.isMVar then
/- Solve `?m t =?= ?n` by trying first `?n := ?m t`.
Reason: this assignment is precise. -/
condM (commitWhen (processAssignment s t)) (pure LBool.true) $
assign t s
else
condM (commitWhen (processAssignment t s)) (pure LBool.true) $
assign s t
@[inline] def whenUndefDo (x : MetaM LBool) (k : MetaM Bool) : MetaM Bool := do
status ← x;
match status with
| LBool.true => pure true
| LBool.false => pure false
| LBool.undef => k
@[specialize] private partial def isDefEqWHNF
(t s : Expr)
(k : Expr → Expr → MetaM Bool) : MetaM Bool := do
t' ← whnfCore t;
s' ← whnfCore s;
if t == t' && s == s' then
k t' s'
else
whenUndefDo (isDefEqQuick t' s') $
k t' s'
@[specialize] private def unstuckMVar
(e : Expr)
(successK : Expr → MetaM Bool) (failK : MetaM Bool): MetaM Bool := do
mvarId? ← getStuckMVar? e;
match mvarId? with
| some mvarId =>
condM (Meta.synthPending mvarId)
(do e ← instantiateMVars e; successK e)
failK
| none => failK
private def isDefEqOnFailure (t s : Expr) : MetaM Bool :=
unstuckMVar t (fun t => Meta.isExprDefEqAux t s) $
unstuckMVar s (fun s => Meta.isExprDefEqAux t s) $
pure false
/- Remove unnecessary let-decls -/
private def consumeLet : Expr → Expr
| e@(Expr.letE _ _ _ b _) => if b.hasLooseBVars then e else consumeLet b
| e => e
partial def isExprDefEqAuxImpl : Expr → Expr → MetaM Bool
| t, s => do
let t := consumeLet t;
let s := consumeLet s;
trace `Meta.isDefEq.step $ fun _ => t ++ " =?= " ++ s;
whenUndefDo (isDefEqQuick t s) $
whenUndefDo (isDefEqProofIrrel t s) $
isDefEqWHNF t s $ fun t s => do
condM (isDefEqEta t s <||> isDefEqEta s t) (pure true) $
whenUndefDo (isDefEqNative t s) do
whenUndefDo (isDefEqNat t s) do
whenUndefDo (isDefEqOffset t s) do
whenUndefDo (isDefEqDelta t s) $
match t, s with
| Expr.const c us _, Expr.const d vs _ => if c == d then isListLevelDefEqAux us vs else pure false
| Expr.app _ _ _, Expr.app _ _ _ =>
let tFn := t.getAppFn;
condM (commitWhen (Meta.isExprDefEqAux tFn s.getAppFn <&&> isDefEqArgs tFn t.getAppArgs s.getAppArgs))
(pure true)
(isDefEqOnFailure t s)
| _, _ =>
whenUndefDo (isDefEqStringLit t s) $
isDefEqOnFailure t s
@[init] def setIsExprDefEqAuxRef : IO Unit :=
isExprDefEqAuxRef.set isExprDefEqAuxImpl
@[init] private def regTraceClasses : IO Unit := do
registerTraceClass `Meta.isDefEq;
registerTraceClass `Meta.isDefEq.foApprox;
registerTraceClass `Meta.isDefEq.delta;
registerTraceClass `Meta.isDefEq.step;
registerTraceClass `Meta.isDefEq.assign
end Meta
end Lean
|
c88bc2f33c47e77fd34f11a5330247c57962ba56 | 6432ea7a083ff6ba21ea17af9ee47b9c371760f7 | /tests/lean/ctor_layout.lean | 9bc09cce052be08b3dac0b1af1cff84e8b9bb56d | [
"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 | 655 | lean | import Lean.Compiler.IR
open Lean
open Lean.IR
unsafe def main : IO Unit :=
withImportModules [{module := `Lean.Compiler.IR.Basic}] {} 0 fun env => do
let ctorLayout ← IO.ofExcept $ getCtorLayout env `Lean.IR.Expr.reuse;
ctorLayout.fieldInfo.forM $ fun finfo => IO.println (format finfo);
IO.println "---";
let ctorLayout ← IO.ofExcept $ getCtorLayout env `Lean.EnvironmentHeader.mk;
ctorLayout.fieldInfo.forM $ fun finfo => IO.println (format finfo);
IO.println "---";
let ctorLayout ← IO.ofExcept $ getCtorLayout env `Subtype.mk;
ctorLayout.fieldInfo.forM $ fun finfo => IO.println (format finfo);
pure ()
#eval main
|
73656b8c08d6d6c0a15122fb5c9bcdf01572fc98 | 4727251e0cd73359b15b664c3170e5d754078599 | /src/data/set/intervals/image_preimage.lean | 414413825f40a64fe9b8a49353ea4ba375fe1565 | [
"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 | 20,691 | lean | /-
Copyright (c) 2020 Yury G. Kudryashov. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yury G. Kudryashov, Patrick Massot
-/
import data.set.pointwise
/-!
# (Pre)images of intervals
In this file we prove a bunch of trivial lemmas like “if we add `a` to all points of `[b, c]`,
then we get `[a + b, a + c]`”. For the functions `x ↦ x ± a`, `x ↦ a ± x`, and `x ↦ -x` we prove
lemmas about preimages and images of all intervals. We also prove a few lemmas about images under
`x ↦ a * x`, `x ↦ x * a` and `x ↦ x⁻¹`.
-/
universe u
open_locale pointwise
namespace set
section has_exists_add_of_le
/-!
The lemmas in this section state that addition maps intervals bijectively. The typeclass
`has_exists_add_of_le` is defined specifically to make them work when combined with
`ordered_cancel_add_comm_monoid`; the lemmas below therefore apply to all
`ordered_add_comm_group`, but also to `ℕ` and `ℝ≥0`, which are not groups.
TODO : move as much as possible in this file to the setting of this weaker typeclass.
-/
variables {α : Type u} [ordered_cancel_add_comm_monoid α] [has_exists_add_of_le α] (a b d : α)
lemma Icc_add_bij : bij_on (+d) (Icc a b) (Icc (a + d) (b + d)) :=
begin
refine ⟨λ _ h, ⟨add_le_add_right h.1 _, add_le_add_right h.2 _⟩,
λ _ _ _ _ h, add_right_cancel h,
λ _ h, _⟩,
obtain ⟨c, rfl⟩ := exists_add_of_le h.1,
rw [mem_Icc, add_right_comm, add_le_add_iff_right, add_le_add_iff_right] at h,
exact ⟨a + c, h, by rw add_right_comm⟩,
end
lemma Ioo_add_bij : bij_on (+d) (Ioo a b) (Ioo (a + d) (b + d)) :=
begin
refine ⟨λ _ h, ⟨add_lt_add_right h.1 _, add_lt_add_right h.2 _⟩,
λ _ _ _ _ h, add_right_cancel h,
λ _ h, _⟩,
obtain ⟨c, rfl⟩ := exists_add_of_le h.1.le,
rw [mem_Ioo, add_right_comm, add_lt_add_iff_right, add_lt_add_iff_right] at h,
exact ⟨a + c, h, by rw add_right_comm⟩,
end
lemma Ioc_add_bij : bij_on (+d) (Ioc a b) (Ioc (a + d) (b + d)) :=
begin
refine ⟨λ _ h, ⟨add_lt_add_right h.1 _, add_le_add_right h.2 _⟩,
λ _ _ _ _ h, add_right_cancel h,
λ _ h, _⟩,
obtain ⟨c, rfl⟩ := exists_add_of_le h.1.le,
rw [mem_Ioc, add_right_comm, add_lt_add_iff_right, add_le_add_iff_right] at h,
exact ⟨a + c, h, by rw add_right_comm⟩,
end
lemma Ico_add_bij : bij_on (+d) (Ico a b) (Ico (a + d) (b + d)) :=
begin
refine ⟨λ _ h, ⟨add_le_add_right h.1 _, add_lt_add_right h.2 _⟩,
λ _ _ _ _ h, add_right_cancel h,
λ _ h, _⟩,
obtain ⟨c, rfl⟩ := exists_add_of_le h.1,
rw [mem_Ico, add_right_comm, add_le_add_iff_right, add_lt_add_iff_right] at h,
exact ⟨a + c, h, by rw add_right_comm⟩,
end
lemma Ici_add_bij : bij_on (+d) (Ici a) (Ici (a + d)) :=
begin
refine ⟨λ x h, add_le_add_right (mem_Ici.mp h) _, λ _ _ _ _ h, add_right_cancel h, λ _ h, _⟩,
obtain ⟨c, rfl⟩ := exists_add_of_le (mem_Ici.mp h),
rw [mem_Ici, add_right_comm, add_le_add_iff_right] at h,
exact ⟨a + c, h, by rw add_right_comm⟩,
end
lemma Ioi_add_bij : bij_on (+d) (Ioi a) (Ioi (a + d)) :=
begin
refine ⟨λ x h, add_lt_add_right (mem_Ioi.mp h) _, λ _ _ _ _ h, add_right_cancel h, λ _ h, _⟩,
obtain ⟨c, rfl⟩ := exists_add_of_le (mem_Ioi.mp h).le,
rw [mem_Ioi, add_right_comm, add_lt_add_iff_right] at h,
exact ⟨a + c, h, by rw add_right_comm⟩,
end
end has_exists_add_of_le
section ordered_add_comm_group
variables {G : Type u} [ordered_add_comm_group G] (a b c : G)
/-!
### Preimages under `x ↦ a + x`
-/
@[simp] lemma preimage_const_add_Ici : (λ x, a + x) ⁻¹' (Ici b) = Ici (b - a) :=
ext $ λ x, sub_le_iff_le_add'.symm
@[simp] lemma preimage_const_add_Ioi : (λ x, a + x) ⁻¹' (Ioi b) = Ioi (b - a) :=
ext $ λ x, sub_lt_iff_lt_add'.symm
@[simp] lemma preimage_const_add_Iic : (λ x, a + x) ⁻¹' (Iic b) = Iic (b - a) :=
ext $ λ x, le_sub_iff_add_le'.symm
@[simp] lemma preimage_const_add_Iio : (λ x, a + x) ⁻¹' (Iio b) = Iio (b - a) :=
ext $ λ x, lt_sub_iff_add_lt'.symm
@[simp] lemma preimage_const_add_Icc : (λ x, a + x) ⁻¹' (Icc b c) = Icc (b - a) (c - a) :=
by simp [← Ici_inter_Iic]
@[simp] lemma preimage_const_add_Ico : (λ x, a + x) ⁻¹' (Ico b c) = Ico (b - a) (c - a) :=
by simp [← Ici_inter_Iio]
@[simp] lemma preimage_const_add_Ioc : (λ x, a + x) ⁻¹' (Ioc b c) = Ioc (b - a) (c - a) :=
by simp [← Ioi_inter_Iic]
@[simp] lemma preimage_const_add_Ioo : (λ x, a + x) ⁻¹' (Ioo b c) = Ioo (b - a) (c - a) :=
by simp [← Ioi_inter_Iio]
/-!
### Preimages under `x ↦ x + a`
-/
@[simp] lemma preimage_add_const_Ici : (λ x, x + a) ⁻¹' (Ici b) = Ici (b - a) :=
ext $ λ x, sub_le_iff_le_add.symm
@[simp] lemma preimage_add_const_Ioi : (λ x, x + a) ⁻¹' (Ioi b) = Ioi (b - a) :=
ext $ λ x, sub_lt_iff_lt_add.symm
@[simp] lemma preimage_add_const_Iic : (λ x, x + a) ⁻¹' (Iic b) = Iic (b - a) :=
ext $ λ x, le_sub_iff_add_le.symm
@[simp] lemma preimage_add_const_Iio : (λ x, x + a) ⁻¹' (Iio b) = Iio (b - a) :=
ext $ λ x, lt_sub_iff_add_lt.symm
@[simp] lemma preimage_add_const_Icc : (λ x, x + a) ⁻¹' (Icc b c) = Icc (b - a) (c - a) :=
by simp [← Ici_inter_Iic]
@[simp] lemma preimage_add_const_Ico : (λ x, x + a) ⁻¹' (Ico b c) = Ico (b - a) (c - a) :=
by simp [← Ici_inter_Iio]
@[simp] lemma preimage_add_const_Ioc : (λ x, x + a) ⁻¹' (Ioc b c) = Ioc (b - a) (c - a) :=
by simp [← Ioi_inter_Iic]
@[simp] lemma preimage_add_const_Ioo : (λ x, x + a) ⁻¹' (Ioo b c) = Ioo (b - a) (c - a) :=
by simp [← Ioi_inter_Iio]
/-!
### Preimages under `x ↦ -x`
-/
@[simp] lemma preimage_neg_Ici : - Ici a = Iic (-a) := ext $ λ x, le_neg
@[simp] lemma preimage_neg_Iic : - Iic a = Ici (-a) := ext $ λ x, neg_le
@[simp] lemma preimage_neg_Ioi : - Ioi a = Iio (-a) := ext $ λ x, lt_neg
@[simp] lemma preimage_neg_Iio : - Iio a = Ioi (-a) := ext $ λ x, neg_lt
@[simp] lemma preimage_neg_Icc : - Icc a b = Icc (-b) (-a) :=
by simp [← Ici_inter_Iic, inter_comm]
@[simp] lemma preimage_neg_Ico : - Ico a b = Ioc (-b) (-a) :=
by simp [← Ici_inter_Iio, ← Ioi_inter_Iic, inter_comm]
@[simp] lemma preimage_neg_Ioc : - Ioc a b = Ico (-b) (-a) :=
by simp [← Ioi_inter_Iic, ← Ici_inter_Iio, inter_comm]
@[simp] lemma preimage_neg_Ioo : - Ioo a b = Ioo (-b) (-a) :=
by simp [← Ioi_inter_Iio, inter_comm]
/-!
### Preimages under `x ↦ x - a`
-/
@[simp] lemma preimage_sub_const_Ici : (λ x, x - a) ⁻¹' (Ici b) = Ici (b + a) :=
by simp [sub_eq_add_neg]
@[simp] lemma preimage_sub_const_Ioi : (λ x, x - a) ⁻¹' (Ioi b) = Ioi (b + a) :=
by simp [sub_eq_add_neg]
@[simp] lemma preimage_sub_const_Iic : (λ x, x - a) ⁻¹' (Iic b) = Iic (b + a) :=
by simp [sub_eq_add_neg]
@[simp] lemma preimage_sub_const_Iio : (λ x, x - a) ⁻¹' (Iio b) = Iio (b + a) :=
by simp [sub_eq_add_neg]
@[simp] lemma preimage_sub_const_Icc : (λ x, x - a) ⁻¹' (Icc b c) = Icc (b + a) (c + a) :=
by simp [sub_eq_add_neg]
@[simp] lemma preimage_sub_const_Ico : (λ x, x - a) ⁻¹' (Ico b c) = Ico (b + a) (c + a) :=
by simp [sub_eq_add_neg]
@[simp] lemma preimage_sub_const_Ioc : (λ x, x - a) ⁻¹' (Ioc b c) = Ioc (b + a) (c + a) :=
by simp [sub_eq_add_neg]
@[simp] lemma preimage_sub_const_Ioo : (λ x, x - a) ⁻¹' (Ioo b c) = Ioo (b + a) (c + a) :=
by simp [sub_eq_add_neg]
/-!
### Preimages under `x ↦ a - x`
-/
@[simp] lemma preimage_const_sub_Ici : (λ x, a - x) ⁻¹' (Ici b) = Iic (a - b) :=
ext $ λ x, le_sub
@[simp] lemma preimage_const_sub_Iic : (λ x, a - x) ⁻¹' (Iic b) = Ici (a - b) :=
ext $ λ x, sub_le
@[simp] lemma preimage_const_sub_Ioi : (λ x, a - x) ⁻¹' (Ioi b) = Iio (a - b) :=
ext $ λ x, lt_sub
@[simp] lemma preimage_const_sub_Iio : (λ x, a - x) ⁻¹' (Iio b) = Ioi (a - b) :=
ext $ λ x, sub_lt
@[simp] lemma preimage_const_sub_Icc : (λ x, a - x) ⁻¹' (Icc b c) = Icc (a - c) (a - b) :=
by simp [← Ici_inter_Iic, inter_comm]
@[simp] lemma preimage_const_sub_Ico : (λ x, a - x) ⁻¹' (Ico b c) = Ioc (a - c) (a - b) :=
by simp [← Ioi_inter_Iic, ← Ici_inter_Iio, inter_comm]
@[simp] lemma preimage_const_sub_Ioc : (λ x, a - x) ⁻¹' (Ioc b c) = Ico (a - c) (a - b) :=
by simp [← Ioi_inter_Iic, ← Ici_inter_Iio, inter_comm]
@[simp] lemma preimage_const_sub_Ioo : (λ x, a - x) ⁻¹' (Ioo b c) = Ioo (a - c) (a - b) :=
by simp [← Ioi_inter_Iio, inter_comm]
/-!
### Images under `x ↦ a + x`
-/
@[simp] lemma image_const_add_Ici : (λ x, a + x) '' Ici b = Ici (a + b) :=
by simp [add_comm]
@[simp] lemma image_const_add_Iic : (λ x, a + x) '' Iic b = Iic (a + b) :=
by simp [add_comm]
@[simp] lemma image_const_add_Iio : (λ x, a + x) '' Iio b = Iio (a + b) :=
by simp [add_comm]
@[simp] lemma image_const_add_Ioi : (λ x, a + x) '' Ioi b = Ioi (a + b) :=
by simp [add_comm]
@[simp] lemma image_const_add_Icc : (λ x, a + x) '' Icc b c = Icc (a + b) (a + c) :=
by simp [add_comm]
@[simp] lemma image_const_add_Ico : (λ x, a + x) '' Ico b c = Ico (a + b) (a + c) :=
by simp [add_comm]
@[simp] lemma image_const_add_Ioc : (λ x, a + x) '' Ioc b c = Ioc (a + b) (a + c) :=
by simp [add_comm]
@[simp] lemma image_const_add_Ioo : (λ x, a + x) '' Ioo b c = Ioo (a + b) (a + c) :=
by simp [add_comm]
/-!
### Images under `x ↦ x + a`
-/
@[simp] lemma image_add_const_Ici : (λ x, x + a) '' Ici b = Ici (b + a) := by simp
@[simp] lemma image_add_const_Iic : (λ x, x + a) '' Iic b = Iic (b + a) := by simp
@[simp] lemma image_add_const_Iio : (λ x, x + a) '' Iio b = Iio (b + a) := by simp
@[simp] lemma image_add_const_Ioi : (λ x, x + a) '' Ioi b = Ioi (b + a) := by simp
@[simp] lemma image_add_const_Icc : (λ x, x + a) '' Icc b c = Icc (b + a) (c + a) :=
by simp
@[simp] lemma image_add_const_Ico : (λ x, x + a) '' Ico b c = Ico (b + a) (c + a) :=
by simp
@[simp] lemma image_add_const_Ioc : (λ x, x + a) '' Ioc b c = Ioc (b + a) (c + a) :=
by simp
@[simp] lemma image_add_const_Ioo : (λ x, x + a) '' Ioo b c = Ioo (b + a) (c + a) :=
by simp
/-!
### Images under `x ↦ -x`
-/
lemma image_neg_Ici : has_neg.neg '' (Ici a) = Iic (-a) := by simp
lemma image_neg_Iic : has_neg.neg '' (Iic a) = Ici (-a) := by simp
lemma image_neg_Ioi : has_neg.neg '' (Ioi a) = Iio (-a) := by simp
lemma image_neg_Iio : has_neg.neg '' (Iio a) = Ioi (-a) := by simp
lemma image_neg_Icc : has_neg.neg '' (Icc a b) = Icc (-b) (-a) := by simp
lemma image_neg_Ico : has_neg.neg '' (Ico a b) = Ioc (-b) (-a) := by simp
lemma image_neg_Ioc : has_neg.neg '' (Ioc a b) = Ico (-b) (-a) := by simp
lemma image_neg_Ioo : has_neg.neg '' (Ioo a b) = Ioo (-b) (-a) := by simp
/-!
### Images under `x ↦ a - x`
-/
@[simp] lemma image_const_sub_Ici : (λ x, a - x) '' Ici b = Iic (a - b) :=
by simp [sub_eq_add_neg, image_comp (λ x, a + x) (λ x, -x)]
@[simp] lemma image_const_sub_Iic : (λ x, a - x) '' Iic b = Ici (a - b) :=
by simp [sub_eq_add_neg, image_comp (λ x, a + x) (λ x, -x)]
@[simp] lemma image_const_sub_Ioi : (λ x, a - x) '' Ioi b = Iio (a - b) :=
by simp [sub_eq_add_neg, image_comp (λ x, a + x) (λ x, -x)]
@[simp] lemma image_const_sub_Iio : (λ x, a - x) '' Iio b = Ioi (a - b) :=
by simp [sub_eq_add_neg, image_comp (λ x, a + x) (λ x, -x)]
@[simp] lemma image_const_sub_Icc : (λ x, a - x) '' Icc b c = Icc (a - c) (a - b) :=
by simp [sub_eq_add_neg, image_comp (λ x, a + x) (λ x, -x)]
@[simp] lemma image_const_sub_Ico : (λ x, a - x) '' Ico b c = Ioc (a - c) (a - b) :=
by simp [sub_eq_add_neg, image_comp (λ x, a + x) (λ x, -x)]
@[simp] lemma image_const_sub_Ioc : (λ x, a - x) '' Ioc b c = Ico (a - c) (a - b) :=
by simp [sub_eq_add_neg, image_comp (λ x, a + x) (λ x, -x)]
@[simp] lemma image_const_sub_Ioo : (λ x, a - x) '' Ioo b c = Ioo (a - c) (a - b) :=
by simp [sub_eq_add_neg, image_comp (λ x, a + x) (λ x, -x)]
/-!
### Images under `x ↦ x - a`
-/
@[simp] lemma image_sub_const_Ici : (λ x, x - a) '' Ici b = Ici (b - a) := by simp [sub_eq_neg_add]
@[simp] lemma image_sub_const_Iic : (λ x, x - a) '' Iic b = Iic (b - a) := by simp [sub_eq_neg_add]
@[simp] lemma image_sub_const_Ioi : (λ x, x - a) '' Ioi b = Ioi (b - a) := by simp [sub_eq_neg_add]
@[simp] lemma image_sub_const_Iio : (λ x, x - a) '' Iio b = Iio (b - a) := by simp [sub_eq_neg_add]
@[simp] lemma image_sub_const_Icc : (λ x, x - a) '' Icc b c = Icc (b - a) (c - a) :=
by simp [sub_eq_neg_add]
@[simp] lemma image_sub_const_Ico : (λ x, x - a) '' Ico b c = Ico (b - a) (c - a) :=
by simp [sub_eq_neg_add]
@[simp] lemma image_sub_const_Ioc : (λ x, x - a) '' Ioc b c = Ioc (b - a) (c - a) :=
by simp [sub_eq_neg_add]
@[simp] lemma image_sub_const_Ioo : (λ x, x - a) '' Ioo b c = Ioo (b - a) (c - a) :=
by simp [sub_eq_neg_add]
/-!
### Bijections
-/
lemma Iic_add_bij : bij_on (+a) (Iic b) (Iic (b + a)) :=
begin
refine ⟨λ x h, add_le_add_right (mem_Iic.mp h) _, λ _ _ _ _ h, add_right_cancel h, λ _ h, _⟩,
simpa [add_comm a] using h,
end
lemma Iio_add_bij : bij_on (+a) (Iio b) (Iio (b + a)) :=
begin
refine ⟨λ x h, add_lt_add_right (mem_Iio.mp h) _, λ _ _ _ _ h, add_right_cancel h, λ _ h, _⟩,
simpa [add_comm a] using h,
end
end ordered_add_comm_group
/-!
### Multiplication and inverse in a field
-/
section linear_ordered_field
variables {k : Type u} [linear_ordered_field k]
@[simp] lemma preimage_mul_const_Iio (a : k) {c : k} (h : 0 < c) :
(λ x, x * c) ⁻¹' (Iio a) = Iio (a / c) :=
ext $ λ x, (lt_div_iff h).symm
@[simp] lemma preimage_mul_const_Ioi (a : k) {c : k} (h : 0 < c) :
(λ x, x * c) ⁻¹' (Ioi a) = Ioi (a / c) :=
ext $ λ x, (div_lt_iff h).symm
@[simp] lemma preimage_mul_const_Iic (a : k) {c : k} (h : 0 < c) :
(λ x, x * c) ⁻¹' (Iic a) = Iic (a / c) :=
ext $ λ x, (le_div_iff h).symm
@[simp] lemma preimage_mul_const_Ici (a : k) {c : k} (h : 0 < c) :
(λ x, x * c) ⁻¹' (Ici a) = Ici (a / c) :=
ext $ λ x, (div_le_iff h).symm
@[simp] lemma preimage_mul_const_Ioo (a b : k) {c : k} (h : 0 < c) :
(λ x, x * c) ⁻¹' (Ioo a b) = Ioo (a / c) (b / c) :=
by simp [← Ioi_inter_Iio, h]
@[simp] lemma preimage_mul_const_Ioc (a b : k) {c : k} (h : 0 < c) :
(λ x, x * c) ⁻¹' (Ioc a b) = Ioc (a / c) (b / c) :=
by simp [← Ioi_inter_Iic, h]
@[simp] lemma preimage_mul_const_Ico (a b : k) {c : k} (h : 0 < c) :
(λ x, x * c) ⁻¹' (Ico a b) = Ico (a / c) (b / c) :=
by simp [← Ici_inter_Iio, h]
@[simp] lemma preimage_mul_const_Icc (a b : k) {c : k} (h : 0 < c) :
(λ x, x * c) ⁻¹' (Icc a b) = Icc (a / c) (b / c) :=
by simp [← Ici_inter_Iic, h]
@[simp] lemma preimage_mul_const_Iio_of_neg (a : k) {c : k} (h : c < 0) :
(λ x, x * c) ⁻¹' (Iio a) = Ioi (a / c) :=
ext $ λ x, (div_lt_iff_of_neg h).symm
@[simp] lemma preimage_mul_const_Ioi_of_neg (a : k) {c : k} (h : c < 0) :
(λ x, x * c) ⁻¹' (Ioi a) = Iio (a / c) :=
ext $ λ x, (lt_div_iff_of_neg h).symm
@[simp] lemma preimage_mul_const_Iic_of_neg (a : k) {c : k} (h : c < 0) :
(λ x, x * c) ⁻¹' (Iic a) = Ici (a / c) :=
ext $ λ x, (div_le_iff_of_neg h).symm
@[simp] lemma preimage_mul_const_Ici_of_neg (a : k) {c : k} (h : c < 0) :
(λ x, x * c) ⁻¹' (Ici a) = Iic (a / c) :=
ext $ λ x, (le_div_iff_of_neg h).symm
@[simp] lemma preimage_mul_const_Ioo_of_neg (a b : k) {c : k} (h : c < 0) :
(λ x, x * c) ⁻¹' (Ioo a b) = Ioo (b / c) (a / c) :=
by simp [← Ioi_inter_Iio, h, inter_comm]
@[simp] lemma preimage_mul_const_Ioc_of_neg (a b : k) {c : k} (h : c < 0) :
(λ x, x * c) ⁻¹' (Ioc a b) = Ico (b / c) (a / c) :=
by simp [← Ioi_inter_Iic, ← Ici_inter_Iio, h, inter_comm]
@[simp] lemma preimage_mul_const_Ico_of_neg (a b : k) {c : k} (h : c < 0) :
(λ x, x * c) ⁻¹' (Ico a b) = Ioc (b / c) (a / c) :=
by simp [← Ici_inter_Iio, ← Ioi_inter_Iic, h, inter_comm]
@[simp] lemma preimage_mul_const_Icc_of_neg (a b : k) {c : k} (h : c < 0) :
(λ x, x * c) ⁻¹' (Icc a b) = Icc (b / c) (a / c) :=
by simp [← Ici_inter_Iic, h, inter_comm]
@[simp] lemma preimage_const_mul_Iio (a : k) {c : k} (h : 0 < c) :
((*) c) ⁻¹' (Iio a) = Iio (a / c) :=
ext $ λ x, (lt_div_iff' h).symm
@[simp] lemma preimage_const_mul_Ioi (a : k) {c : k} (h : 0 < c) :
((*) c) ⁻¹' (Ioi a) = Ioi (a / c) :=
ext $ λ x, (div_lt_iff' h).symm
@[simp] lemma preimage_const_mul_Iic (a : k) {c : k} (h : 0 < c) :
((*) c) ⁻¹' (Iic a) = Iic (a / c) :=
ext $ λ x, (le_div_iff' h).symm
@[simp] lemma preimage_const_mul_Ici (a : k) {c : k} (h : 0 < c) :
((*) c) ⁻¹' (Ici a) = Ici (a / c) :=
ext $ λ x, (div_le_iff' h).symm
@[simp] lemma preimage_const_mul_Ioo (a b : k) {c : k} (h : 0 < c) :
((*) c) ⁻¹' (Ioo a b) = Ioo (a / c) (b / c) :=
by simp [← Ioi_inter_Iio, h]
@[simp] lemma preimage_const_mul_Ioc (a b : k) {c : k} (h : 0 < c) :
((*) c) ⁻¹' (Ioc a b) = Ioc (a / c) (b / c) :=
by simp [← Ioi_inter_Iic, h]
@[simp] lemma preimage_const_mul_Ico (a b : k) {c : k} (h : 0 < c) :
((*) c) ⁻¹' (Ico a b) = Ico (a / c) (b / c) :=
by simp [← Ici_inter_Iio, h]
@[simp] lemma preimage_const_mul_Icc (a b : k) {c : k} (h : 0 < c) :
((*) c) ⁻¹' (Icc a b) = Icc (a / c) (b / c) :=
by simp [← Ici_inter_Iic, h]
@[simp] lemma preimage_const_mul_Iio_of_neg (a : k) {c : k} (h : c < 0) :
((*) c) ⁻¹' (Iio a) = Ioi (a / c) :=
by simpa only [mul_comm] using preimage_mul_const_Iio_of_neg a h
@[simp] lemma preimage_const_mul_Ioi_of_neg (a : k) {c : k} (h : c < 0) :
((*) c) ⁻¹' (Ioi a) = Iio (a / c) :=
by simpa only [mul_comm] using preimage_mul_const_Ioi_of_neg a h
@[simp] lemma preimage_const_mul_Iic_of_neg (a : k) {c : k} (h : c < 0) :
((*) c) ⁻¹' (Iic a) = Ici (a / c) :=
by simpa only [mul_comm] using preimage_mul_const_Iic_of_neg a h
@[simp] lemma preimage_const_mul_Ici_of_neg (a : k) {c : k} (h : c < 0) :
((*) c) ⁻¹' (Ici a) = Iic (a / c) :=
by simpa only [mul_comm] using preimage_mul_const_Ici_of_neg a h
@[simp] lemma preimage_const_mul_Ioo_of_neg (a b : k) {c : k} (h : c < 0) :
((*) c) ⁻¹' (Ioo a b) = Ioo (b / c) (a / c) :=
by simpa only [mul_comm] using preimage_mul_const_Ioo_of_neg a b h
@[simp] lemma preimage_const_mul_Ioc_of_neg (a b : k) {c : k} (h : c < 0) :
((*) c) ⁻¹' (Ioc a b) = Ico (b / c) (a / c) :=
by simpa only [mul_comm] using preimage_mul_const_Ioc_of_neg a b h
@[simp] lemma preimage_const_mul_Ico_of_neg (a b : k) {c : k} (h : c < 0) :
((*) c) ⁻¹' (Ico a b) = Ioc (b / c) (a / c) :=
by simpa only [mul_comm] using preimage_mul_const_Ico_of_neg a b h
@[simp] lemma preimage_const_mul_Icc_of_neg (a b : k) {c : k} (h : c < 0) :
((*) c) ⁻¹' (Icc a b) = Icc (b / c) (a / c) :=
by simpa only [mul_comm] using preimage_mul_const_Icc_of_neg a b h
lemma image_mul_right_Icc' (a b : k) {c : k} (h : 0 < c) :
(λ x, x * c) '' Icc a b = Icc (a * c) (b * c) :=
((units.mk0 c h.ne').mul_right.image_eq_preimage _).trans (by simp [h, division_def])
lemma image_mul_right_Icc {a b c : k} (hab : a ≤ b) (hc : 0 ≤ c) :
(λ x, x * c) '' Icc a b = Icc (a * c) (b * c) :=
begin
cases eq_or_lt_of_le hc,
{ subst c,
simp [(nonempty_Icc.2 hab).image_const] },
exact image_mul_right_Icc' a b ‹0 < c›
end
lemma image_mul_left_Icc' {a : k} (h : 0 < a) (b c : k) :
((*) a) '' Icc b c = Icc (a * b) (a * c) :=
by { convert image_mul_right_Icc' b c h using 1; simp only [mul_comm _ a] }
lemma image_mul_left_Icc {a b c : k} (ha : 0 ≤ a) (hbc : b ≤ c) :
((*) a) '' Icc b c = Icc (a * b) (a * c) :=
by { convert image_mul_right_Icc hbc ha using 1; simp only [mul_comm _ a] }
lemma image_mul_right_Ioo (a b : k) {c : k} (h : 0 < c) :
(λ x, x * c) '' Ioo a b = Ioo (a * c) (b * c) :=
((units.mk0 c h.ne').mul_right.image_eq_preimage _).trans (by simp [h, division_def])
lemma image_mul_left_Ioo {a : k} (h : 0 < a) (b c : k) :
((*) a) '' Ioo b c = Ioo (a * b) (a * c) :=
by { convert image_mul_right_Ioo b c h using 1; simp only [mul_comm _ a] }
/-- The (pre)image under `inv` of `Ioo 0 a` is `Ioi a⁻¹`. -/
lemma inv_Ioo_0_left {a : k} (ha : 0 < a) : (Ioo 0 a)⁻¹ = Ioi a⁻¹ :=
begin
ext x,
exact ⟨λ h, inv_inv x ▸ (inv_lt_inv ha h.1).2 h.2, λ h, ⟨inv_pos.2 $ (inv_pos.2 ha).trans h,
inv_inv a ▸ (inv_lt_inv ((inv_pos.2 ha).trans h) (inv_pos.2 ha)).2 h⟩⟩,
end
lemma inv_Ioi {a : k} (ha : 0 < a) : (Ioi a)⁻¹ = Ioo 0 a⁻¹ :=
by rw [inv_eq_iff_inv_eq, inv_Ioo_0_left (inv_pos.2 ha), inv_inv]
/-!
### Images under `x ↦ a * x + b`
-/
@[simp] lemma image_affine_Icc' {a : k} (h : 0 < a) (b c d : k) :
(λ x, a * x + b) '' Icc c d = Icc (a * c + b) (a * d + b) :=
begin
suffices : (λ x, x + b) '' ((λ x, a * x) '' Icc c d) = Icc (a * c + b) (a * d + b),
{ rwa set.image_image at this, },
rw [image_mul_left_Icc' h, image_add_const_Icc],
end
end linear_ordered_field
end set
|
0f4ddf4f50417bc562e8f3e1b1d9eb03ebe9ce96 | f3849be5d845a1cb97680f0bbbe03b85518312f0 | /library/init/meta/level.lean | 8b3a4f0dfc65fe6dd4edaa455e8c90e024c4d5a9 | [
"Apache-2.0"
] | permissive | bjoeris/lean | 0ed95125d762b17bfcb54dad1f9721f953f92eeb | 4e496b78d5e73545fa4f9a807155113d8e6b0561 | refs/heads/master | 1,611,251,218,281 | 1,495,337,658,000 | 1,495,337,658,000 | null | 0 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 2,277 | lean | /-
Copyright (c) 2016 Microsoft Corporation. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Leonardo de Moura
-/
prelude
import init.meta.name init.meta.format
/- Reflect a C++ level object. The VM replaces it with the C++ implementation. -/
inductive level
| zero : level
| succ : level → level
| max : level → level → level
| imax : level → level → level
| param : name → level
| mvar : name → level
instance : inhabited level :=
⟨level.zero⟩
/- TODO(Leo): provide a definition in Lean. -/
meta constant level.has_decidable_eq : decidable_eq level
attribute [instance] level.has_decidable_eq
meta constant level.lt : level → level → bool
meta constant level.lex_lt : level → level → bool
meta constant level.fold {α :Type} : level → α → (level → α → α) → α
/- Return the given level expression normal form -/
meta constant level.normalize : level → level
/- Return tt iff lhs and rhs denote the same level.
The check is done by normalization. -/
meta constant level.eqv : level → level → bool
/- Return tt iff the first level occurs in the second -/
meta constant level.occurs : level → level → bool
/- Replace a parameter named n with l in the first level if the list contains the pair (n, l) -/
meta constant level.instantiate : level → list (name × level) → list level
meta constant level.to_format : level → options → format
meta constant level.to_string : level → string
meta def level.cmp (a b : level) : ordering :=
if level.lt a b then ordering.lt
else if a = b then ordering.eq
else ordering.gt
meta instance : has_to_string level :=
⟨level.to_string⟩
meta instance : has_to_format level :=
⟨λ l, level.to_format l options.mk⟩
meta instance : has_ordering level :=
⟨level.cmp⟩
meta def level.of_nat : nat → level
| 0 := level.zero
| (nat.succ n) := level.succ (level.of_nat n)
meta def level.has_param : level → name → bool
| (level.succ l) n := level.has_param l n
| (level.max l₁ l₂) n := level.has_param l₁ n || level.has_param l₂ n
| (level.imax l₁ l₂) n := level.has_param l₁ n || level.has_param l₂ n
| (level.param n₁) n := n₁ = n
| l n := ff
|
e5cb13ef7b972fdcf70dd4016ecb5c90e680831c | 92b50235facfbc08dfe7f334827d47281471333b | /library/algebra/group_power.lean | 9143b67131f8504af22faf16ea1320686cfab9b4 | [
"Apache-2.0"
] | permissive | htzh/lean | 24f6ed7510ab637379ec31af406d12584d31792c | d70c79f4e30aafecdfc4a60b5d3512199200ab6e | refs/heads/master | 1,607,677,731,270 | 1,437,089,952,000 | 1,437,089,952,000 | 37,078,816 | 0 | 0 | null | 1,433,780,956,000 | 1,433,780,955,000 | null | UTF-8 | Lean | false | false | 4,981 | lean | /-
Copyright (c) 2015 Jeremy Avigad. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Author: Jeremy Avigad
The power operation on monoids and groups. We separate this from group, because it depends on
nat, which in turn depends on other parts of algebra.
We have "pow a n" for natural number powers, and "ipow a i" for integer powers. The notation
a^n is used for the first, but users can locally redefine it to ipow when needed.
Note: power adopts the convention that 0^0=1.
-/
import data.nat.basic data.int.basic
namespace algebra
variables {A : Type}
/- monoid -/
section monoid
open nat
variable [s : monoid A]
include s
definition pow (a : A) : ℕ → A
| 0 := 1
| (n+1) := pow n * a
infix [priority algebra.prio] `^` := pow
theorem pow_zero (a : A) : a^0 = 1 := rfl
theorem pow_succ (a : A) (n : ℕ) : a^(succ n) = a^n * a := rfl
theorem pow_succ' (a : A) : ∀n, a^(succ n) = a * a^n
| 0 := by rewrite [pow_succ, *pow_zero, one_mul, mul_one]
| (succ n) := by rewrite [pow_succ, pow_succ' at {1}, pow_succ, mul.assoc]
theorem one_pow : ∀ n : ℕ, 1^n = (1:A)
| 0 := rfl
| (succ n) := by rewrite [pow_succ, mul_one, one_pow]
theorem pow_one (a : A) : a^1 = a := !one_mul
theorem pow_add (a : A) (m : ℕ) : ∀ n, a^(m + n) = a^m * a^n
| 0 := by rewrite [nat.add_zero, pow_zero, mul_one]
| (succ n) := by rewrite [add_succ, *pow_succ, pow_add, mul.assoc]
theorem pow_mul (a : A) (m : ℕ) : ∀ n, a^(m * n) = (a^m)^n
| 0 := by rewrite [nat.mul_zero, pow_zero]
| (succ n) := by rewrite [nat.mul_succ, pow_add, pow_succ, pow_mul]
theorem pow_comm (a : A) (m n : ℕ) : a^m * a^n = a^n * a^m :=
by rewrite [-*pow_add, nat.add.comm]
end monoid
/- commutative monoid -/
section comm_monoid
open nat
variable [s : comm_monoid A]
include s
theorem mul_pow (a b : A) : ∀ n, (a * b)^n = a^n * b^n
| 0 := by rewrite [*pow_zero, mul_one]
| (succ n) := by rewrite [*pow_succ, mul_pow, *mul.assoc, mul.left_comm a]
end comm_monoid
section group
variable [s : group A]
include s
section nat
open nat
theorem inv_pow (a : A) : ∀n, (a⁻¹)^n = (a^n)⁻¹
| 0 := by rewrite [*pow_zero, one_inv]
| (succ n) := by rewrite [pow_succ, pow_succ', inv_pow, mul_inv]
theorem pow_sub (a : A) {m n : ℕ} (H : m ≥ n) : a^(m - n) = a^m * (a^n)⁻¹ :=
assert H1 : m - n + n = m, from nat.sub_add_cancel H,
have H2 : a^(m - n) * a^n = a^m, by rewrite [-pow_add, H1],
eq_mul_inv_of_mul_eq H2
theorem pow_inv_comm (a : A) : ∀m n, (a⁻¹)^m * a^n = a^n * (a⁻¹)^m
| 0 n := by rewrite [*pow_zero, one_mul, mul_one]
| m 0 := by rewrite [*pow_zero, one_mul, mul_one]
| (succ m) (succ n) := by rewrite [pow_succ at {1}, pow_succ' at {1}, pow_succ, pow_succ',
*mul.assoc, inv_mul_cancel_left, mul_inv_cancel_left, pow_inv_comm]
end nat
open int
definition ipow (a : A) : ℤ → A
| (of_nat n) := a^n
| -[1+n] := (a^(nat.succ n))⁻¹
private lemma ipow_add_aux (a : A) (m n : nat) :
ipow a ((of_nat m) + -[1+n]) = ipow a (of_nat m) * ipow a (-[1+n]) :=
or.elim (nat.lt_or_ge m (nat.succ n))
(assume H : (#nat m < nat.succ n),
assert H1 : (#nat nat.succ n - m > nat.zero), from nat.sub_pos_of_lt H,
calc
ipow a ((of_nat m) + -[1+n]) = ipow a (sub_nat_nat m (nat.succ n)) : rfl
... = ipow a (-[1+ nat.pred (nat.sub (nat.succ n) m)]) : {sub_nat_nat_of_lt H}
... = (pow a (nat.succ (nat.pred (nat.sub (nat.succ n) m))))⁻¹ : rfl
... = (pow a (nat.succ n) * (pow a m)⁻¹)⁻¹ :
by rewrite [nat.succ_pred_of_pos H1, pow_sub a (nat.le_of_lt H)]
... = pow a m * (pow a (nat.succ n))⁻¹ :
by rewrite [mul_inv, inv_inv]
... = ipow a (of_nat m) * ipow a (-[1+n]) : rfl)
(assume H : (#nat m ≥ nat.succ n),
calc
ipow a ((of_nat m) + -[1+n]) = ipow a (sub_nat_nat m (nat.succ n)) : rfl
... = ipow a (#nat m - nat.succ n) : {sub_nat_nat_of_ge H}
... = pow a m * (pow a (nat.succ n))⁻¹ : pow_sub a H
... = ipow a (of_nat m) * ipow a (-[1+n]) : rfl)
theorem ipow_add (a : A) : ∀i j : int, ipow a (i + j) = ipow a i * ipow a j
| (of_nat m) (of_nat n) := !pow_add
| (of_nat m) -[1+n] := !ipow_add_aux
| -[1+m] (of_nat n) := by rewrite [int.add.comm, ipow_add_aux, ↑ipow, -*inv_pow, pow_inv_comm]
| -[1+m] -[1+n] :=
calc
ipow a (-[1+m] + -[1+n]) = (a^(#nat nat.succ m + nat.succ n))⁻¹ : rfl
... = (a^(nat.succ m))⁻¹ * (a^(nat.succ n))⁻¹ : by rewrite [pow_add, pow_comm, mul_inv]
... = ipow a (-[1+m]) * ipow a (-[1+n]) : rfl
theorem ipow_comm (a : A) (i j : ℤ) : ipow a i * ipow a j = ipow a j * ipow a i :=
by rewrite [-*ipow_add, int.add.comm]
end group
end algebra
|
a5ac9c77502df52e9a7d201a7df90f2b91787cc2 | 7b02c598aa57070b4cf4fbfe2416d0479220187f | /homotopy/wedge.hlean | a95f366c14cfa62ddcbf4f14cf9424eb841ecebc | [
"Apache-2.0"
] | permissive | jdchristensen/Spectral | 50d4f0ddaea1484d215ef74be951da6549de221d | 6ded2b94d7ae07c4098d96a68f80a9cd3d433eb8 | refs/heads/master | 1,611,555,010,649 | 1,496,724,191,000 | 1,496,724,191,000 | null | 0 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 1,079 | hlean | -- Authors: Floris van Doorn
import homotopy.wedge
open wedge pushout eq prod sum pointed equiv is_equiv unit
namespace wedge
definition wedge_flip [unfold 3] {A B : Type*} (x : A ∨ B) : B ∨ A :=
begin
induction x,
{ exact inr a },
{ exact inl a },
{ exact (glue ⋆)⁻¹ }
end
-- TODO: fix precedences
definition pwedge_flip [constructor] (A B : Type*) : (A ∨ B) →* (B ∨ A) :=
pmap.mk wedge_flip (glue ⋆)⁻¹
definition wedge_flip_wedge_flip {A B : Type*} (x : A ∨ B) : wedge_flip (wedge_flip x) = x :=
begin
induction x,
{ reflexivity },
{ reflexivity },
{ apply eq_pathover_id_right, apply hdeg_square,
exact ap_compose wedge_flip _ _ ⬝ ap02 _ !elim_glue ⬝ !ap_inv ⬝ !elim_glue⁻² ⬝ !inv_inv }
end
definition pwedge_comm [constructor] (A B : Type*) : A ∨ B ≃* B ∨ A :=
begin
fapply pequiv.MK,
{ exact pwedge_flip A B },
{ exact wedge_flip },
{ exact wedge_flip_wedge_flip },
{ exact wedge_flip_wedge_flip }
end
-- TODO: wedge is associative
end wedge
|
73678ecc9a2a348ae1fbf4d096f3e80de61d7200 | c09f5945267fd905e23a77be83d9a78580e04a4a | /src/topology/bounded_continuous_function.lean | dc37c48b5ef6fdf1af8e1bd6e8c115ed3b9a722e | [
"Apache-2.0"
] | permissive | OHIHIYA20/mathlib | 023a6df35355b5b6eb931c404f7dd7535dccfa89 | 1ec0a1f49db97d45e8666a3bf33217ff79ca1d87 | refs/heads/master | 1,587,964,529,965 | 1,551,819,319,000 | 1,551,819,319,000 | null | 0 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 23,619 | 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
Type of bounded continuous functions taking values in a metric space, with
the uniform distance.
-/
import analysis.normed_space.basic topology.metric_space.cau_seq_filter
topology.metric_space.lipschitz topology.instances.real
noncomputable theory
local attribute [instance] classical.decidable_inhabited classical.prop_decidable
open set lattice filter metric
universes u v w
variables {α : Type u} {β : Type v} {γ : Type w}
/-- A locally uniform limit of continuous functions is continuous -/
lemma continuous_of_locally_uniform_limit_of_continuous [topological_space α] [metric_space β]
{F : ℕ → α → β} {f : α → β}
(L : ∀x:α, ∃s ∈ (nhds x).sets, ∀ε>(0:ℝ), ∃n, ∀y∈s, dist (F n y) (f y) ≤ ε)
(C : ∀ n, continuous (F n)) : continuous f :=
continuous_iff'.2 $ λ x ε ε0, begin
rcases L x with ⟨r, rx, hr⟩,
rcases hr (ε/2/2) (half_pos $ half_pos ε0) with ⟨n, hn⟩,
rcases continuous_iff'.1 (C n) x (ε/2) (half_pos ε0) with ⟨s, sx, hs⟩,
refine ⟨_, (nhds x).inter_sets rx sx, _⟩,
rintro y ⟨yr, ys⟩,
calc dist (f y) (f x)
≤ dist (F n y) (F n x) + (dist (F n y) (f y) + dist (F n x) (f x)) : dist_triangle4_left _ _ _ _
... < ε/2 + (ε/2/2 + ε/2/2) :
add_lt_add_of_lt_of_le (hs _ ys) (add_le_add (hn _ yr) (hn _ (mem_of_nhds rx)))
... = ε : by rw [add_halves, add_halves]
end
/-- A uniform limit of continuous functions is continuous -/
lemma continuous_of_uniform_limit_of_continuous [topological_space α] {β : Type v} [metric_space β]
{F : ℕ → α → β} {f : α → β} (L : ∀ε>(0:ℝ), ∃N, ∀y, dist (F N y) (f y) ≤ ε) :
(∀ n, continuous (F n)) → continuous f :=
continuous_of_locally_uniform_limit_of_continuous $ λx,
⟨univ, by simpa [filter.univ_mem_sets] using L⟩
/-- The type of bounded continuous functions from a topological space to a metric space -/
def bounded_continuous_function (α : Type u) (β : Type v) [topological_space α] [metric_space β] : Type (max u v) :=
{f : α → β // continuous f ∧ ∃C, ∀x y:α, dist (f x) (f y) ≤ C}
local infixr ` →ᵇ `:25 := bounded_continuous_function
namespace bounded_continuous_function
section basics
variables [topological_space α] [metric_space β] [metric_space γ]
variables {f g : α →ᵇ β} {x : α} {C : ℝ}
instance : has_coe_to_fun (α →ᵇ β) := ⟨_, subtype.val⟩
lemma bounded_range : bounded (range f) :=
bounded_range_iff.2 f.2.2
/-- If a function is continuous on a compact space, it is automatically bounded,
and therefore gives rise to an element of the type of bounded continuous functions -/
def mk_of_compact [compact_space α] (f : α → β) (hf : continuous f) : α →ᵇ β :=
⟨f, hf, bounded_range_iff.1 $ by rw ← image_univ; exact
bounded_of_compact (compact_image compact_univ hf)⟩
/-- 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 -/
def mk_of_discrete [discrete_topology α] (f : α → β) (hf : ∃C, ∀x y, dist (f x) (f y) ≤ C) :
α →ᵇ β :=
⟨f, continuous_of_discrete_topology, hf⟩
/-- The uniform distance between two bounded continuous functions -/
instance : has_dist (α →ᵇ β) :=
⟨λf g, Inf {C | C ≥ 0 ∧ ∀ x : α, dist (f x) (g x) ≤ C}⟩
lemma dist_eq : dist f g = Inf {C | C ≥ 0 ∧ ∀ x : α, dist (f x) (g x) ≤ C} := rfl
lemma dist_set_exists : ∃ C, C ≥ 0 ∧ ∀ x : α, dist (f x) (g x) ≤ C :=
begin
refine if h : nonempty α then _ else ⟨0, le_refl _, λ x, h.elim ⟨x⟩⟩,
cases h with x,
rcases f.2 with ⟨_, Cf, hCf⟩, /- hCf : ∀ (x y : α), dist (f.val x) (f.val y) ≤ Cf -/
rcases g.2 with ⟨_, Cg, hCg⟩, /- hCg : ∀ (x y : α), dist (g.val x) (g.val y) ≤ Cg -/
let C := max 0 (dist (f x) (g x) + (Cf + Cg)),
exact ⟨C, le_max_left _ _, λ y, calc
dist (f y) (g y) ≤ dist (f x) (g x) + (dist (f x) (f y) + dist (g x) (g y)) : dist_triangle4_left _ _ _ _
... ≤ dist (f x) (g x) + (Cf + Cg) : add_le_add_left (add_le_add (hCf _ _) (hCg _ _)) _
... ≤ C : le_max_right _ _⟩
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 (ne_empty_iff_exists_mem.2 dist_set_exists) $ λb hb, hb.2 x
@[extensionality] lemma ext (H : ∀x, f x = g x) : f = g :=
subtype.eq $ by ext; apply H
/- This lemma will be needed in the proof of the metric space instance, but it will become
useless afterwards as it will be superceded by the general result that the distance is nonnegative
is metric spaces. -/
private lemma dist_nonneg' : 0 ≤ dist f g :=
le_cInf (ne_empty_iff_exists_mem.2 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⟩⟩
/-- On an empty space, bounded continuous functions are at distance 0 -/
lemma dist_zero_of_empty (e : ¬ nonempty α) : dist f g = 0 :=
le_antisymm ((dist_le (le_refl _)).2 $ λ x, e.elim ⟨x⟩) dist_nonneg'
/-- The type of bounded continuous functions, with the uniform distance, is a metric space. -/
instance : metric_space (α →ᵇ β) :=
{ dist_self := λ f, le_antisymm ((dist_le (le_refl _)).2 $ λ x, by simp) dist_nonneg',
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),
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 _)) }
def const (b : β) : α →ᵇ β := ⟨λx, b, continuous_const, 0, by simp [le_refl]⟩
/-- If the target space is inhabited, so is the space of bounded continuous functions -/
instance [inhabited β] : inhabited (α →ᵇ β) := ⟨const (default β)⟩
/-- The evaluation map is continuous, as a joint function of `u` and `x` -/
theorem continuous_eval : continuous (λ p : (α →ᵇ β) × α, p.1 p.2) :=
continuous_iff'.2 $ λ ⟨f, x⟩ ε ε0,
/- use the continuity of `f` to find a neighborhood of `x` where it varies at most by ε/2 -/
let ⟨s, sx, Hs⟩ := continuous_iff'.1 f.2.1 x (ε/2) (half_pos ε0) in
/- s : set α, sx : s ∈ (nhds x).sets, Hs : ∀ (b : α), b ∈ s → dist (f.val b) (f.val x) < ε / 2 -/
⟨set.prod (ball f (ε/2)) s, prod_mem_nhds_sets (ball_mem_nhds _ (half_pos ε0)) sx,
λ ⟨g, y⟩ ⟨hg, hy⟩, calc dist (g y) (f x)
≤ dist (g y) (f y) + dist (f y) (f x) : dist_triangle _ _ _
... < ε/2 + ε/2 : add_lt_add (lt_of_le_of_lt (dist_coe_le_dist _) hg) (Hs _ hy)
... = ε : add_halves _⟩
/-- In particular, when `x` is fixed, `f → f x` is continuous -/
theorem continuous_evalx {x : α} : continuous (λ f : α →ᵇ β, f x) :=
(continuous_id.prod_mk continuous_const).comp continuous_eval
/-- When `f` is fixed, `x → f x` is also continuous, by definition -/
theorem continuous_evalf {f : α →ᵇ β} : continuous f := f.2.1
/-- 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 (nhds (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 (by simp)
(tendsto_dist tendsto_const_nhds (hF x))
(filter.mem_at_top_sets.2 ⟨N, λn hn, f_bdd x N n N (le_refl N) hn⟩),
refine ⟨⟨F, _, _⟩, _⟩,
{ /- Check that `F` is continuous -/
refine continuous_of_uniform_limit_of_continuous (λ ε ε0, _) (λN, (f N).2.1),
rcases metric.tendsto_at_top.1 b_lim ε ε0 with ⟨N, hN⟩,
exact ⟨N, λy, calc
dist (f N y) (F y) ≤ b N : fF_bdd y N
... ≤ dist (b N) 0 : begin simp, show b N ≤ abs(b N), from le_abs_self _ end
... ≤ ε : le_of_lt (hN N (le_refl N))⟩ },
{ /- Check that `F` is bounded -/
rcases (f 0).2.2 with ⟨C, hC⟩,
exact ⟨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) : add_le_add (hC x y) (add_le_add (fF_bdd x 0) (fF_bdd y 0))⟩ },
{ /- 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 (in the target) of a bounded continuous function with a Lipschitz map again
gives a bounded continuous function -/
def comp (G : β → γ) (H : ∀x y, dist (G x) (G y) ≤ C * dist x y)
(f : α →ᵇ β) : α →ᵇ γ :=
⟨λx, G (f x), f.2.1.comp (continuous_of_lipschitz H),
let ⟨D, hD⟩ := f.2.2 in
⟨max C 0 * D, λ x y, calc
dist (G (f x)) (G (f y)) ≤ C * dist (f x) (f y) : H _ _
... ≤ 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 continuous -/
lemma continuous_comp {G : β → γ} (H : ∀x y, dist (G x) (G y) ≤ C * dist x y) :
continuous (comp G H : (α →ᵇ β) → α →ᵇ γ) :=
continuous_of_lipschitz $ λ f g,
(dist_le (mul_nonneg (le_max_right C 0) dist_nonneg)).2 $ λ x,
calc dist (G (f x)) (G (g x)) ≤ C * dist (f x) (g x) : H _ _
... ≤ max C 0 * dist (f x) (g x) : mul_le_mul_of_nonneg_right (le_max_left C 0) (dist_nonneg)
... ≤ max C 0 * dist f g : mul_le_mul_of_nonneg_left (dist_coe_le_dist _) (le_max_right C 0)
/-- 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 :=
⟨λx, ⟨f x, H x⟩, continuous_subtype_mk _ f.2.1, f.2.2⟩
end basics
section arzela_ascoli
variables [topological_space α] [compact_space α] [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 : ∀ (x:α) (ε > 0), ∃U ∈ (nhds x).sets, ∀ (y z ∈ U) (f : α →ᵇ β),
f ∈ A → dist (f y) (f z) < ε) :
compact A :=
begin
refine compact_of_totally_bounded_is_closed _ closed,
refine totally_bounded_of_finite_discretization (λ ε ε0, _),
rcases dense 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⟩ := mem_nhds_sets_iff.1 nhdsU in
⟨V, xV, openV, λy z hy hz f hf, hU y z (VU hy) (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 compact_elim_finite_subcover_image compact_univ
(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 _ _ 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)).fst⟩, _⟩,
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,
have : ∃x', x' ∈ tα ∧ x ∈ U x' := mem_bUnion_iff.1 (htα (mem_univ x)),
rcases this with ⟨x', x'tα, hx'⟩,
refine 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')).snd (hF (g x')).snd
... = ε₁/2 : add_halves _ }
end
/-- Second version, with pointwise equicontinuity and range in a compact subset -/
theorem arzela_ascoli₂
(s : set β) (hs : 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 : ∀(x:α) (ε > 0), ∃U ∈ (nhds x).sets, ∀ (y z ∈ U) (f : α →ᵇ β),
f ∈ A → dist (f y) (f z) < ε) :
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 : ∀x y : s, dist (x : β) y ≤ 1 * dist x y := λ x y, ge_of_eq (one_mul _),
let F : (α →ᵇ s) → α →ᵇ β := comp coe M,
refine compact_of_is_closed_subset
(compact_image (_ : compact (F ⁻¹' A)) (continuous_comp M)) closed (λ f hf, _),
{ haveI : compact_space s := compact_iff_compact_space.1 hs,
refine arzela_ascoli₁ _ (continuous_iff_is_closed.1 (continuous_comp M) _ closed)
(λ x ε ε0, bex.imp_right (λ U U_nhds hU y z hy hz f hf, _) (H x ε ε0)),
calc dist (f y) (f z) = dist (F f y) (F f z) : rfl
... < ε : hU y z hy hz (F f) hf },
{ 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
(s : set β) (hs : compact s)
(A : set (α →ᵇ β))
(in_s : ∀(f : α →ᵇ β) (x : α), f ∈ A → f x ∈ s)
(H : ∀(x:α) (ε > 0), ∃U ∈ (nhds x).sets, ∀ (y z ∈ U) (f : α →ᵇ β),
f ∈ A → dist (f y) (f z) < ε) :
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' (closed_of_compact _ hs)).2 $ λ ε ε0,
let ⟨g, gA, dist_fg⟩ := 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⟩)
(λ x ε ε0, show ∃ U ∈ (nhds x).sets,
∀ y z ∈ U, ∀ (f : α →ᵇ β), f ∈ closure A → dist (f y) (f z) < ε,
begin
refine bex.imp_right (λ U U_set hU y z hy hz f hf, _) (H x (ε/2) (half_pos ε0)),
rcases mem_closure_iff'.1 hf (ε/2/2) (half_pos (half_pos ε0)) with ⟨g, gA, dist_fg⟩,
replace dist_fg := λ x, lt_of_le_of_lt (dist_coe_le_dist x) dist_fg,
calc dist (f y) (f z) ≤ dist (f y) (g y) + dist (f z) (g z) + dist (g y) (g z) : dist_triangle4_right _ _ _ _
... < ε/2/2 + ε/2/2 + ε/2 :
add_lt_add (add_lt_add (dist_fg y) (dist_fg z)) (hU y z hy hz g gA)
... = ε : by rw [add_halves, add_halves]
end)
/- To apply the previous theorems, one needs to check the equicontinuity. An important
instance is when the source space is a metric space, and there is a fixed modulus of continuity
for all the functions in the set A -/
lemma equicontinuous_of_continuity_modulus {α : Type u} [metric_space α]
(b : ℝ → ℝ) (b_lim : tendsto b (nhds 0) (nhds 0))
(A : set (α →ᵇ β))
(H : ∀(x y:α) (f : α →ᵇ β), f ∈ A → dist (f x) (f y) ≤ b (dist x y))
(x:α) (ε : ℝ) (ε0 : ε > 0) : ∃U ∈ (nhds x).sets, ∀ (y z ∈ U) (f : α →ᵇ β),
f ∈ A → dist (f y) (f z) < ε :=
begin
rcases tendsto_nhds_nhds.1 b_lim ε ε0 with ⟨δ, δ0, hδ⟩,
refine ⟨ball x (δ/2), ball_mem_nhds x (half_pos δ0), λ y z hy hz f hf, _⟩,
have : dist y z < δ := calc
dist y z ≤ dist y x + dist z x : dist_triangle_right _ _ _
... < δ/2 + δ/2 : add_lt_add hy hz
... = δ : add_halves _,
calc
dist (f y) (f z) ≤ b (dist y z) : H y z f hf
... ≤ abs (b (dist y z)) : le_abs_self _
... = dist (b (dist y z)) 0 : by simp [real.dist_eq]
... < ε : hδ (by simpa [real.dist_eq] using this),
end
end arzela_ascoli
section normed_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] [normed_group β]
variables {f g : α →ᵇ β} {x : α} {C : ℝ}
instance : has_zero (α →ᵇ β) := ⟨const 0⟩
@[simp] lemma coe_zero : (0 : α →ᵇ β) x = 0 := rfl
instance : has_norm (α →ᵇ β) := ⟨λu, dist u 0⟩
lemma norm_def : ∥f∥ = dist f 0 := rfl
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 _
/-- 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 only [coe_zero, dist_zero_right] using @dist_le _ _ _ _ f 0 _ C0
/-- The pointwise sum of two bounded continuous functions is again bounded continuous. -/
instance : has_add (α →ᵇ β) :=
⟨λf g, ⟨λx, f x + g x, continuous_add f.2.1 g.2.1, (∥f∥ + ∥g∥) + (∥f∥ + ∥g∥),
λ x y,
have ∀x, dist (f x + g x) 0 ≤ ∥f∥ + ∥g∥ := λx, calc
dist (f x + g x) 0 = ∥f x + g x∥ : dist_zero_right _
... ≤ ∥f x∥ + ∥g x∥ : norm_triangle _ _
... ≤ ∥f∥ + ∥g∥ : add_le_add (norm_coe_le_norm _) (norm_coe_le_norm _),
calc dist (f x + g x) (f y + g y) ≤ dist (f x + g x) 0 + dist (f y + g y) 0 : dist_triangle_right _ _ _
... ≤ (∥f∥ + ∥g∥) + (∥f∥ + ∥g∥) : add_le_add (this x) (this y) ⟩⟩
/-- The pointwise opposite of a bounded continuous function is again bounded continuous. -/
instance : has_neg (α →ᵇ β) :=
⟨λf, ⟨λx, -f x, continuous_neg f.2.1,
begin
have dn : ∀a b : β, dist (-a) (-b) = dist a b := λ a b,
by rw [dist_eq_norm, neg_sub_neg, ← dist_eq_norm, dist_comm],
simpa only [dn] using f.2.2
end⟩⟩
@[simp] lemma coe_add : (f + g) x = f x + g x := rfl
@[simp] lemma coe_neg : (-f) x = - (f x) := rfl
lemma forall_coe_zero_iff_zero : (∀x, f x = 0) ↔ f = 0 :=
⟨@ext _ _ _ _ f 0, by rintro rfl _; refl⟩
instance : add_comm_group (α →ᵇ β) :=
{ add_assoc := assume f g h, by ext; simp,
zero_add := assume f, by ext; simp,
add_zero := assume f, by ext; simp,
add_left_neg := assume f, by ext; simp,
add_comm := assume f g, by ext; simp,
..bounded_continuous_function.has_add,
..bounded_continuous_function.has_neg,
..bounded_continuous_function.has_zero }
@[simp] lemma coe_diff : (f - g) x = f x - g x := rfl
instance : normed_group (α →ᵇ β) :=
normed_group.of_add_dist (λ _, rfl) $ λ f g h,
(dist_le dist_nonneg).2 $ λ x,
le_trans (by rw [dist_eq_norm, dist_eq_norm, coe_add, coe_add,
add_sub_add_right_eq_sub]) (dist_coe_le_dist x)
lemma abs_diff_coe_le_dist : norm (f x - g x) ≤ dist f g :=
by rw normed_group.dist_eq; exact @norm_coe_le_norm _ _ _ _ (f-g) 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
/-- Constructing a bounded continuous function from a uniformly bounded continuous
function taking values in a normed group. -/
def of_normed_group {α : Type u} {β : Type v} [topological_space α] [normed_group β]
(f : α → β) (C : ℝ) (H : ∀x, norm (f x) ≤ C) (Hf : continuous f) : α →ᵇ β :=
⟨λn, f n, ⟨Hf, ⟨C + C, λ m n,
calc dist (f m) (f n) ≤ dist (f m) 0 + dist (f n) 0 : dist_triangle_right _ _ _
... = norm (f m) + norm (f n) : by simp
... ≤ C + C : add_le_add (H m) (H n)⟩⟩⟩
/-- Constructing a bounded continuous function from a uniformly bounded
function on a discrete space, taking values in a normed group -/
def of_normed_group_discrete {α : Type u} {β : Type v}
[topological_space α] [discrete_topology α] [normed_group β]
(f : α → β) (C : ℝ) (H : ∀x, norm (f x) ≤ C) : α →ᵇ β :=
of_normed_group f C H continuous_of_discrete_topology
end normed_group
end bounded_continuous_function
|
4a04a5d8875f89cb45a1495bbff062bb375a3e2f | 8cae430f0a71442d02dbb1cbb14073b31048e4b0 | /src/algebra/order/field/pi.lean | 1b4b66e5a7e25fc34840645ab098ef95f0cba1d9 | [
"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 | 1,162 | lean | /-
Copyright (c) 2014 Robert Lewis. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yaël Dillies
-/
import algebra.order.field.basic
import data.fintype.lattice
/-!
# Lemmas about (finite domain) functions into fields.
> THIS FILE IS SYNCHRONIZED WITH MATHLIB4.
> Any changes to this file require a corresponding PR to mathlib4.
We split this from `algebra.order.field.basic` to avoid importing the finiteness hierarchy there.
-/
variables {α ι : Type*} [linear_ordered_semifield α]
lemma pi.exists_forall_pos_add_lt [has_exists_add_of_le α] [finite ι] {x y : ι → α}
(h : ∀ i, x i < y i) : ∃ ε, 0 < ε ∧ ∀ i, x i + ε < y i :=
begin
casesI nonempty_fintype ι,
casesI is_empty_or_nonempty ι,
{ exact ⟨1, zero_lt_one, is_empty_elim⟩ },
choose ε hε hxε using λ i, exists_pos_add_of_lt' (h i),
obtain rfl : x + ε = y := funext hxε,
have hε : 0 < finset.univ.inf' finset.univ_nonempty ε := (finset.lt_inf'_iff _).2 (λ i _, hε _),
exact ⟨_, half_pos hε, λ i, add_lt_add_left ((half_lt_self hε).trans_le $ finset.inf'_le _ $
finset.mem_univ _) _⟩,
end
|
e1106dcb0e132805ff596309f781fea387b3f9bc | b2c4bd81ed12cc14c20704365f094339d4c894a2 | /src/simple_graph.lean | bda5165d58c5653bde8e003185d8f6729db075b0 | [] | no_license | agusakov/graph_theory_2020 | 711639d9d9b25fd83899620da11ae1753d11d48b | 83a8afc31aa28dbec39a768d6042d3cb515f7a16 | refs/heads/master | 1,669,901,277,114 | 1,596,931,643,000 | 1,596,931,643,000 | 285,154,458 | 5 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 15,535 | lean | --universe u
--instance complete_graph_adj_decidable (V : Type u) [decidable_eq V] :
--#exit
/-
Copyright (c) 2020 Aaron Anderson, Jalex Stark, Kyle Miller. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Author: Aaron Anderson, Jalex Stark, Kyle Miller.
-/
import data.fintype.basic
import sym2
import tactic
open finset
-- noncomputable theory
/-!
# Simple graphs
This module defines simple graphs on a vertex type `V` as an
irreflexive symmetric relation.
There is a basic API for locally finite graphs and for graphs with
finitely many vertices.
## Main definitions
* `simple_graph` is a structure for symmetric, irreflexive relations
* `neighbor_set` is the `set` of vertices adjacent to a given vertex
* `neighbor_finset` is the `finset` of vertices adjacent to a given vertex,
if `neighbor_set` is finite
## Implementation notes
* A locally finite graph is one with instances `∀ v, fintype (G.neighbor_set v)`.
* Given instances `decidable_rel G.adj` and `fintype V`, then the graph
is locally finite, too.
TODO: This is the simplest notion of an unoriented graph. This should
eventually fit into a more complete combinatorics hierarchy which
includes multigraphs and directed graphs. We begin with simple graphs
in order to start learning what the combinatorics hierarchy should
look like.
TODO: Part of this would include defining, for example, subgraphs of a
simple graph.
-/
universe u
variables (V : Type u)
/--
A simple graph is an irreflexive symmetric relation `adj` on a vertex type `V`.
The relation describes which pairs of vertices are adjacent.
There is exactly one edge for every pair of adjacent edges;
see `simple_graph.E` for the corresponding type of edges.
Note: The type of the relation is given as `V → set V` rather than
`V → V → Prop` so that, given vertices `v` and `w`, then `w ∈ G.adj v`
works as another way to write `G.adj v w`. Otherwise Lean cannot find
a `has_mem` instance.
-/
@[ext] structure simple_graph :=
(adj : V → V → Prop)
(sym : symmetric adj . obviously)
(loopless : irreflexive adj . obviously)
--(unique_edges : edge set not multiset?)
namespace simple_graph
-- notation for adj
-- class has_splodge (α : Sort*) := { bigcirc : α → α → Prop }
-- instance (α : Type u) [simple_graph α] : has_splodge α :=
-- { bigcirc := @simple_graph.adj α _inst_1 }
-- why can't I use exotic unicode in infix notation?
-- binding power and associativity sent to default values
--infix `◯`:37 := has_splodge.bigcirc
notation v ` ◯⦃`:37 G `⦄ `:37 w := G.adj v w
def adj_ne {X : Type u} (G : simple_graph X) (v w : X)
(h : v ◯⦃G⦄ w) : v ≠ w :=
begin
rintro rfl,
apply G.loopless v h,
end
/--
The complete graph on a type `V` is the simple graph with all pairs of distinct vertices adjacent.
-/
variables {V} (G : simple_graph V)
def complete_graph : simple_graph V :=
{ adj := ne }
def empty : simple_graph V :=
{ adj := λ _ _, false}
-- @[simp] lemma empty_adj (v u : V) : (@empty V).adj v u ↔ false := by tidy
instance : inhabited (simple_graph V) := ⟨@complete_graph V⟩
instance complete_graph_adj_decidable (V : Type u) [decidable_eq V] :
decidable_rel (@complete_graph V).adj :=
by { dsimp [complete_graph], apply_instance }
-- variables {V} (G : simple_graph V)
/-- `G.neighbor_set v` is the set of vertices adjacent to `v` in `G`. -/
def neighbor_set (v : V) : set V := set_of (G.adj v)
lemma ne_of_edge {a b : V} (hab : G.adj a b) : a ≠ b :=
by { rintro rfl, exact G.loopless a hab }
/--
The edges of G consist of the unordered pairs of vertices related by
`G.adj`. It is given as a subtype of the symmetric square.
-/
def E : Type u := {x : sym2 V // x ∈ sym2.from_rel G.sym}
@[ext] theorem E.ext {a b : E G} : a.1 = b.1 → a = b :=
by { cases a, cases b, simp }
@[ext] theorem E.ext_iff (a b : E G) : a = b ↔ a.1 = b.1 :=
⟨λ h, by cases h; refl, E.ext G⟩
/-- Allows us to refer to a vertex being a member of an edge. -/
instance has_mem : has_mem V G.E := { mem := λ v e, v ∈ e.val }
/-- Construct an edge from its endpoints. -/
def edge_of_adj {v w : V} (h : G.adj v w) : G.E := ⟨⟦(v,w)⟧, by simp [h]⟩
lemma edge_eq_edge_of_adj (e : G.E):
∃ v w, ∃ (h : v ◯⦃G⦄ w), e = G.edge_of_adj h :=
begin
cases e,
rcases e_val,
cases e_val with v w,
rcases e_property with ⟨⟨v', w'⟩, h'⟩,
use [v', w'],
use h'.1,
apply subtype.eq,
exact h'.2.symm,
end
lemma edge_eq_edge_of_adj_iff (e : G.E) {v w} (h : G.adj v w) :
e = G.edge_of_adj h ↔ v ∈ e ∧ w ∈ e :=
begin
cases e with e he,
rcases e with ⟨v', w'⟩,
-- change v' ◯⦃G⦄ w' at he,
split,
{ intro H,
cases G with adj symm loopless,
dsimp at symm loopless h he,
unfold edge_of_adj at H,
rw H,
unfold has_mem.mem sym2.mem,
simp,
split,
use w, use v,
apply quotient.exact,
-- how the fuck
exact sym2.eq_swap },
{ rintro ⟨hv,hw⟩,
cases hv with v hv,
cases hw with w hw,
ext,
apply sym2.eq_iff.2,
cases sym2.eq_iff.1 hv;
cases sym2.eq_iff.1 hw; try {cc},
replace h := adj_ne _ _ _ h,
cc,
clear hv hw,
cases he with he h3 h4,
set he := adj_ne _ _ _ h3.1,
rcases h_1 with ⟨rfl, rfl⟩,
rcases h_2 with ⟨rfl, rfl⟩,
replace h := adj_ne _ _ _ h,
cases h rfl }
end
@[simp]
lemma mem_of_adj {v w : V} (h : G.adj v w) :
v ∈ G.edge_of_adj h := sym2.mk_has_mem v w
@[simp]
lemma mem_of_adj_right {v w : V} (h : G.adj v w) :
w ∈ G.edge_of_adj h := sym2.mk_has_mem_right v w
lemma adj_iff_exists_edge {v w : V} (hne : v ≠ w) :
G.adj v w ↔ ∃ (e : G.E), v ∈ e ∧ w ∈ e :=
begin
split, { intro, use ⟦(v,w)⟧, use (v,w), use a, refine ⟨(G.mem_of_adj _), (G.mem_of_adj_right _)⟩,
exact a, exact a },
rintro ⟨e, ⟨w', hve⟩, ⟨v', hew⟩⟩,
have : e.val = ⟦(v,w)⟧, { rw [hve, sym2.eq_iff] at hew ⊢, cc },
have key := e.property, rwa this at key,
cases key,
cases key_h with vw h,
cases quotient.exact h,
exact vw,
apply G.sym,
exact vw,
end
lemma empty_edge (e : (@empty V).E) : false := by tidy
lemma edge_eq_iff (e d : G.E) : e = d ↔ ∃ u, ∃ v ≠ u, u ∈ e ∧ u ∈ d ∧ v ∈ e ∧ v ∈ d :=
begin
split,
{ rintro rfl, rcases G.edge_eq_edge_of_adj e with ⟨u, v, h, rfl⟩,
use [u, v], have := G.ne_of_edge h, simp; cc,
},
rintro ⟨u, v, h, _⟩,
have : G.adj v u, rw G.adj_iff_exists_edge h, use e, tauto,
transitivity G.edge_of_adj this,
{ rw edge_eq_edge_of_adj_iff, tauto },
{ symmetry, rw edge_eq_edge_of_adj_iff, tauto },
end
@[ext]
lemma edge_eq_iff' (e d : G.E) : e = d ↔ ∀ u, u ∈ e ↔ u ∈ d :=
begin
split, { rintro rfl, simp },
intro h, rw edge_eq_iff,
rcases G.edge_eq_edge_of_adj e with ⟨u, v, h_adj, rfl⟩,
use [u, v],
have := G.ne_of_edge h_adj, simp only [← h], simp; tauto,
end
variables {G}
/-- Given an edge and one vertex incident on it, construct the other one. -/
noncomputable def E.other (e : G.E) {v : V} (h : v ∈ e) : V :=
by { have : v ∈ e.val, apply h, exact this.other }
lemma E.other_mem (e : G.E) {v : V} (h : v ∈ e) : e.other h ∈ e :=
begin
change sym2.mem.other h ∈ e.val, have := sym2.mem_other_spec h,
convert sym2.mk_has_mem_right _ _; tauto,
end
lemma E.other_ne (e : G.E) {v : V} (h : v ∈ e) : e.other h ≠ v :=
begin
have key := e.property,
erw [← sym2.mem_other_spec h, sym2.eq_swap] at key,
cases key with vw hvw,
cases hvw with h1 h2,
cases vw with v w,
unfold E.other,
cases quotient.exact h2 with AA BB,
apply G.ne_of_edge,
convert h1,
symmetry,
apply G.ne_of_edge,
convert h1
end
lemma E.mem_iff (e : G.E) {v : V} (h : v ∈ e) (u : V) :
u ∈ e ↔ u = v ∨ u = e.other h :=
begin
convert sym2.mem_iff using 1,
erw sym2.mem_other_spec h, refl,
end
lemma E.eq_other_iff (e : G.E) {v : V} (h : v ∈ e) (u : V) :
u = e.other h ↔ u ≠ v ∧ u ∈ e :=
begin
split, { rintro rfl, refine ⟨ E.other_ne _ _, E.other_mem _ _⟩ },
rintro ⟨huv, hu⟩,
rw e.mem_iff h at hu, tauto,
end
attribute [irreducible] E.other
instance E.inhabited [inhabited {p : V × V | G.adj p.1 p.2}] : inhabited G.E :=
⟨begin
rcases inhabited.default {p : V × V | G.adj p.1 p.2} with ⟨⟨x, y⟩, h⟩,
use ⟦(x, y)⟧, rwa sym2.from_rel_prop,
end⟩
instance edges_fintype [decidable_eq V] [fintype V] [decidable_rel G.adj] :
fintype G.E := subtype.fintype _
section classical
open_locale classical
noncomputable theory
theorem E.exists_non_canonical_directed_structure (e : G.E) :
(∃ v w : V, e.val = sym2.mk v w) :=
begin
cases e with e he,
let vw := quotient.out e,
use [vw.1, vw.2],
change _ = quotient.mk (prod.mk vw.fst vw.snd),
dsimp,
convert (quotient.out_eq e).symm,
show _ = vw,
generalize : vw = k,
cases k, refl,
end
theorem E.exists_noncanonical_ordered_pair (e : G.E) :
(∃ vw : V × V, e.val = quotient.mk vw) :=
begin
rcases E.exists_non_canonical_directed_structure e with ⟨v, w, h⟩,
use (v,w),
exact h
end
noncomputable def E.first (e : G.E) : V := (classical.some
(E.exists_noncanonical_ordered_pair e)).1
noncomputable def E.second (e : G.E) : V := (classical.some
(E.exists_noncanonical_ordered_pair e)).2
theorem mk_first_second (e : G.E) : e.val = ⟦(E.first e, E.second e)⟧ :=
begin
have h := classical.some_spec
(E.exists_noncanonical_ordered_pair e),
rw h,
cases e with e he,
congr',
ext,
dsimp,
refl,refl
end
theorem first_second_rel (e : G.E) : G.adj (e.first) e.second :=
begin
have := mk_first_second e,
cases e with e he,
dsimp at this,
rw this at he,
cases he,
cases he_h with h1 h2,
cases quotient.exact h2,
exact h1,
apply G.sym,
exact h1
end
-- e = ⟦(E.first e, E.second e)⟧ but I don't need this yet
-- because graphs are not directed yet
def E.nonempty (e : G.E) : ∃ v : V, v ∈ e :=
begin
rcases E.exists_non_canonical_directed_structure e
with ⟨v, w, h⟩,
use v,
cases e with e he,
dsimp at *,
subst h,
use w,
simp, refl
end
def E.some (e : G.E) : V :=
classical.some (E.nonempty e)
lemma E.some_spec (e : G.E) : e.some ∈ e :=
classical.some_spec (E.nonempty e)
/-! # counting edges so let V be finite now -/
variables [fintype V]
def E_finset (G : simple_graph V) : finset $ V × V :=
finset.filter (λ x, G.adj x.1 x.2) univ
def foo (G : simple_graph V) : fin 2 × G.E ≃
{x : V × V // x ∈ G.E_finset.val} :=
{ to_fun := λ be, if be.1 = 0 then ⟨(be.2.some, be.2.other be.2.some_spec),
by
{ suffices : G.adj be.2.some (be.2.other be.2.some_spec), simpa [E_finset],
rw adj_iff_exists_edge, refine ⟨ be.2, be.2.some_spec, _⟩, apply be.2.other_mem,
symmetry, apply be.2.other_ne },
⟩
else ⟨(be.2.other be.2.some_spec, be.2.some), by
{ suffices : G.adj (be.2.other be.2.some_spec) _, simpa [E_finset],
rw adj_iff_exists_edge, { refine ⟨ be.2, _, be.2.some_spec⟩, apply be.2.other_mem },
simp [be.2.other_ne] },
⟩,
inv_fun := sorry,
left_inv := sorry,
right_inv := sorry }
lemma E_finset_spec [decidable_eq V] [fintype V] [decidable_rel G.adj] :
2 * fintype.card G.E = finset.card G.E_finset :=
begin
-- transitivity 2 * finset.card _, ring,
have : fintype.card (fin 2) = 2, { tidy },
rw [← this, ← fintype.card_prod],
rw ← fintype.card_of_finset, swap, { intro, refl },
convert fintype.of_equiv_card _,
sorry
-- symmetry, refine equiv.of_bijective _ _,
-- rintro ⟨b, e⟩,
-- refine if b = 0
-- then ⟨(e.some, e.other e.some_spec), _⟩
-- else ⟨(e.other e.some_spec, e.some), _⟩,
-- { suffices : G.adj e.some (e.other e.some_spec), simpa [E_finset],
-- rw adj_iff_exists_edge, refine ⟨ e, e.some_spec, _⟩, apply e.other_mem,
-- symmetry, apply e.other_ne },
-- { suffices : G.adj (e.other e.some_spec) _, simpa [E_finset],
-- rw adj_iff_exists_edge, { refine ⟨ e, _, e.some_spec⟩, apply e.other_mem },
-- simp [e.other_ne] },
-- -- proof it's bijective
-- split,
-- sorry,
-- -- refine ⟨_, _⟩,
-- -- intros x y h,
-- -- by_cases hxy : x.1 = y.1,
-- -- ext, any_goals { simp [hxy] },
-- -- dsimp at h, by_cases hy : y.1 = 0,
end
variables (G)
def card_edges : ℕ := fintype.card G.E
@[simp] lemma empty_card_edges : (@empty V).card_edges = 0 :=
by { dsimp [card_edges], rw fintype.card_eq_zero_iff, tidy }
@[simp] lemma card_edges_eq_zero_iff :
G.card_edges = 0 ↔ G = empty :=
begin
split, swap, { rintro rfl, simp },
intro h, dsimp [card_edges] at h,
ext, simp only [empty, iff_false], contrapose! h,
rw [← nat.pos_iff_ne_zero, fintype.card_pos_iff],
apply nonempty.intro, exact G.edge_of_adj h,
end
lemma empty_iff_not_edge : G = empty ↔ G.E → false :=
begin
split, { rintro rfl, apply empty_edge },
intro h, ext u v, suffices : ¬ G.adj u v, { tidy },
intro he, have e := G.edge_of_adj he, exact h e,
end
def inhabited_of_ne_empty (h : G ≠ empty) : inhabited G.E :=
begin
suffices : nonempty G.E, { letI := this, inhabit G.E, assumption },
refine fintype.card_pos_iff.mp _, contrapose! h,
erw [le_zero_iff_eq, card_edges_eq_zero_iff] at h, exact h,
end
end classical
attribute [irreducible] E
@[simp] lemma irrefl {v : V} : ¬G.adj v v := G.loopless v
@[symm] lemma edge_symm (u v : V) : G.adj u v ↔ G.adj v u :=
by split; apply G.sym
@[simp] lemma mem_neighbor_set (v w : V) : w ∈ G.neighbor_set v ↔ G.adj v w :=
by tauto
section finite_at
/-!
## Finiteness at a vertex
This section contains definitions and lemmas concerning vertices that
have finitely many adjacent vertices. We denote this condition by
`fintype (G.neighbor_set v)`.
We define `G.neighbor_finset v` to be the `finset` version of `G.neighbor_set v`.
Use `neighbor_finset_eq_filter` to rewrite this definition as a `filter`.
-/
variables (v : V) [fintype (G.neighbor_set v)]
variables (G)
/--
`G.neighbors v` is the `finset` version of `G.adj v` in case `G` is
locally finite at `v`.
-/
def neighbor_finset : finset V := (G.neighbor_set v).to_finset
@[simp] lemma mem_neighbor_finset (w : V) :
w ∈ G.neighbor_finset v ↔ G.adj v w :=
by simp [neighbor_finset]
/--
`G.degree v` is the number of vertices adjacent to `v`.
-/
def degree : ℕ := (G.neighbor_finset v).card
@[simp]
lemma card_neighbor_set_eq_degree : fintype.card (G.neighbor_set v) = G.degree v :=
by simp [degree, neighbor_finset]
end finite_at
section locally_finite
variables (G) [∀ (v : V), fintype (G.neighbor_set v)]
/--
A regular graph is a locally finite graph such that every vertex has the same degree.
-/
def regular_graph (d : ℕ) : Prop := ∀ (v : V), G.degree v = d
end locally_finite
section finite
variables [fintype V]
instance neighbor_set_fintype [decidable_rel G.adj] (v : V) : fintype (G.neighbor_set v) :=
@subtype.fintype _ _ (by {simp_rw mem_neighbor_set, apply_instance}) _
lemma neighbor_finset_eq_filter {v : V} [decidable_rel G.adj] :
G.neighbor_finset v = finset.univ.filter (G.adj v) :=
by { ext, simp }
@[simp]
lemma complete_graph_degree [decidable_eq V] (v : V) :
(@complete_graph V).degree v = fintype.card V - 1 :=
begin
convert univ.card.pred_eq_sub_one,
erw [degree, neighbor_finset_eq_filter, filter_ne, card_erase_of_mem (mem_univ v)],
end
lemma complete_graph_is_regular [decidable_eq V] :
(@complete_graph V).regular_graph (fintype.card V - 1) :=
by { intro v, simp }
end finite
end simple_graph
|
341b50666cfc3716e44388eaa1c06d7fc7ef2431 | 35c41e824c38dc6aa7f0b1467f4d5bc33d61f260 | /M1F/2017-18/Example_Sheet_02/solutions.lean | 8fe9c56b1b83e05347640cf953b8618428381427 | [] | no_license | kckennylau/xena | 697eb8f55a8f1ce456a241e8b8e4e8a27b91438e | 7dc03dc9588d30d7d36b6904b59ca63a72096229 | refs/heads/master | 1,627,104,810,584 | 1,509,486,416,000 | 1,509,486,416,000 | 107,829,951 | 0 | 0 | null | 1,509,486,381,000 | 1,508,637,567,000 | Lean | UTF-8 | Lean | false | false | 10,056 | lean | import xenalib.M1Fstuff algebra.group_power
-- automatic coercions to reals
section M1F_Sheet02
-- #check arbitrary
-- #print arbitrary
-- #check default
-- #print default
-- ask about this
/-
example : arbitrary = default :=
begin
unfold eq,
end
-/
-- set_option pp.all true
def countable_union_from_zero {α : Type} (X : nat → set α ) := { t : α | exists i, t ∈ X i}
def countable_union_from_one {α : Type} (X : nat → set α ) := { t : α | exists i, i > 0 ∧ t ∈ X i}
def Q1a_sets : ℕ → set ℝ := λ n x, ↑n ≤ x ∧ x < (n+1)
-- #check Q1a_sets
/-
def Q1a_sets2 : ℕ → set ℝ := λ n, { x | ↑ n ≤ x ∧ x < (n+1)}
example : Q1a_sets = Q1a_sets2 :=
begin
apply funext,
intro n,
unfold Q1a_sets,
unfold Q1a_sets2,
apply funext,
intro x,unfold set_of,
end
-/
-- set_option pp.all true
theorem Q1a : countable_union_from_zero Q1a_sets = { x | 0 ≤ x} :=
begin
unfold countable_union_from_zero,
unfold Q1a_sets,
apply funext,
intro x,
unfold set_of,
have H : ∃ (n : ℤ), ↑n ≤ x ∧ x < ↑n + 1,
exact floor_real_exists x,
apply propext,
split,
intro H2,
cases H2 with i H3,
have H4 : ↑i ≤ x,
exact H3.left,
have H5 : (0:ℤ) ≤ ↑i,
exact int.coe_zero_le i,
apply le_trans _ H4,
simp [H5],
intro H2,
cases H with n H3,
have H4 : ((0:ℤ):ℝ) < (n:real) +(1:real),
exact lt_of_le_of_lt H2 H3.right,
have H5 : ((0:ℤ):ℝ) < (n:ℝ) + ((1:ℤ):ℝ),
rw [int.cast_one], exact H4,
clear H4,
-- rw [←int.cast_add] at H4,
-- have H5 : (0:ℤ) < n + of_rat(1),
-- exact H4,
-- rw [of_rat_add,of_rat_lt] at H5,
-- clear H4,
rw [←int.cast_add,int.cast_lt] at H5,
rw [int.lt_iff_add_one_le] at H5,
simp at H5,
have H : ∃ (n_1 : ℕ), n = ↑n_1,
exact int.eq_coe_of_zero_le H5,
cases H with i H4,
clear H5 H2,
existsi i,
split,
exact calc (i:ℝ) = ((i:ℤ):ℝ) : by simp
... = (n:ℝ) : int.cast_inj.mpr (eq.symm H4)
... ≤ x : H3.left,
suffices H : (↑n : ℝ) = (↑i : ℝ),
rw [←H],exact H3.right,
rw [H4],
refl,
end
def Q1b_sets : ℕ → set ℝ := λ n x, 1/(↑n) ≤ x ∧ x ≤ 1
-- set_option pp.notation false
-- set_option class.instance_max_depth
-- set_option pp.all true
theorem Q1b : countable_union_from_one Q1b_sets = { x | 0 < x ∧ x ≤ 1} :=
begin
unfold countable_union_from_one,
unfold Q1b_sets,
apply funext,
intro x,
unfold set_of,
apply propext,
split;intro H,
cases H with i Hi,
split,
tactic.swap,
exact Hi.right.right,
suffices H2 : (0:ℝ) < 1/(↑i),
exact lt_of_lt_of_le H2 Hi.right.left,
-- have H3 : of_rat (((0:nat):int):rat) < of_rat ((i:int):rat),
-- rw [of_rat_lt,rat.coe_int_lt,int.coe_nat_lt_coe_nat_iff],
-- exact Hi.left,
rw [←int.cast_zero],
exact lt_div_of_mul_lt (nat.cast_lt.mpr Hi.left) (by simp [zero_lt_one]),
have H2 : 0 < 1/x,
exact lt_div_of_mul_lt H.left (by simp [zero_lt_one]),
have H3 : ∃ (n : ℤ), ↑n ≤ 1 / x ∧ 1 / x < ↑n + 1,
exact floor_real_exists (1/x),
cases H3 with n Hn,
have H3 : (0:ℝ) < (n:ℝ) + (1:ℝ),
exact lt_of_lt_of_le H2 (le_of_lt Hn.right),
rw [←int.cast_one,←int.cast_add,←int.cast_zero,int.cast_lt,int.lt_iff_add_one_le] at H3,
have H4 : ↑0 ≤ n,
apply le_of_add_le_add_right H3,
cases n with nnat nfalse,
tactic.swap,
have H5 : (0:ℤ) < (0:ℤ),
exact calc (0:ℤ) ≤ int.neg_succ_of_nat nfalse : H4
... < 0 : int.neg_succ_of_nat_lt_zero nfalse,
exfalso,
apply H5,
clear H3 H4,
existsi (nnat+1),
split,
exact calc 0< nat.succ nnat : nat.zero_lt_succ nnat
... = nnat+1 : rfl,
split,
tactic.swap,
exact H.right,
have H4 : x > 0,
unfold gt,exact H.left,
have H5 : nnat+1>0,
exact (nat.zero_lt_succ nnat),
have H6 : (((nnat+1):ℕ):ℝ) > 0,
exact nat.cast_lt.mpr H5,
have H7 : ((int.of_nat nnat):ℝ) + 1 = (((nnat+1):ℕ):ℝ), simp,
have Hnr : 1 / x < ↑(int.of_nat nnat) + 1,
exact Hn.right,
rw [H7] at Hnr,
clear Hn H5,
suffices H5 : 1 ≤ ↑(nnat+1)*x,
exact div_le_of_le_mul H6 H5,
exact (div_le_iff_le_mul_of_pos H4).mp (le_of_lt Hnr)
end
def Q1c_sets : ℕ → set ℝ := λ n x, -↑n < x ∧ x < n
-- #check max,
theorem Q1c : countable_union_from_one Q1c_sets = { x | true } :=
begin
unfold countable_union_from_one,
unfold Q1c_sets,
apply funext,
intro x,
unfold set_of,
apply propext,
split;intro H,
trivial,
have H2 : ∃ (n : ℤ), ↑n ≤ x ∧ x < ↑n + 1,
exact floor_real_exists x,
have H3 : ∃ (m : ℤ), ↑m ≤ (-x) ∧ (-x) < ↑m + 1,
exact floor_real_exists (-x),
cases H2 with n Hn,
cases H3 with m Hm,
let iz:ℤ := max (1:ℤ) (max (n+1) ((m+1))),
have H4 : iz ≥ 1,
exact le_max_left (1:ℤ) _,
have H5 : ∃ (i:ℕ), iz=i,
exact int.eq_coe_of_zero_le (le_trans (le_of_lt (zero_lt_one)) H4),
cases H5 with i Hi,
existsi i,
split,
suffices H1 : 0<i,
exact H1,
rw [←int.coe_nat_lt_coe_nat_iff,←Hi],
exact lt_of_lt_of_le zero_lt_one H4,
split,
suffices H1 : -↑i ≤ -(↑m + (1:ℝ)),
exact lt_of_le_of_lt H1 (neg_lt.mp Hm.right),
suffices H2 : (↑m+1)≤ (↑i:ℝ),
exact neg_le_neg H2,
rw [←int.cast_one,←int.cast_add],
suffices H5 : (((m+1):ℤ):ℝ)≤((i:ℤ):ℝ),
exact H5,
rw [int.cast_le],
rw [←Hi],
exact calc m+1 ≤ max (n+1) (m+1) : le_max_right (n+1) (m+1)
... ≤ iz : le_max_right 1 _,
suffices H1 : (n:ℝ)+1 ≤ i, -- of_rat ((n:ℤ):ℚ) + of_rat ((1:ℤ):ℚ) ≤ of_rat ((i:ℤ):ℚ),
exact lt_of_lt_of_le Hn.right H1,
rw [←int.cast_one,←int.cast_add],
suffices H8 : (((n+1):ℤ):ℝ)≤ ((i:ℤ):ℝ), -- of_rat_add,of_rat_le_of_rat,←rat.coe_int_add,rat.coe_int_le],
exact H8,
rw [int.cast_le,←Hi],
exact calc n+1 ≤ max (n+1) (m+1) : le_max_left (n+1) (m+1)
... ≤ iz : le_max_right 1 _,
end
def countable_intersection_from_one {α : Type} (X : nat → set α ) := { t : α | ∀ i, i>0 → t ∈ X i}
-- part d has same sets as part c
-- set_option pp.notation false
theorem Q1d : countable_intersection_from_one Q1c_sets = {x | -1<x ∧ x<1} :=
begin
unfold countable_intersection_from_one,
unfold Q1c_sets,
apply funext,
intro x,
unfold set_of,
apply propext,
unfold has_mem.mem set.mem,
-- all that unfolding leaves us with
/-
x : ℝ
⊢ (∀ (i : ℕ), i > 0 → -↑i < x ∧ x < ↑i) ↔ -1 < x ∧ x < 1
-/
split;intro H,
simpa using ((H 1) (zero_lt_one)),
intro i,
intro Hi,
have i_le_one, exact nat.succ_le_of_lt Hi,
split,
exact calc -(i:ℝ) ≤ -↑1 : neg_le_neg (nat.cast_le.2 i_le_one)
... = -1 : by simp
... <x : H.left,
exact calc x < 1 : H.right
... = ↑(1:ℕ) : by simp
... ≤ ↑i : nat.cast_le.2 i_le_one
end
-- question 2
def open_zero_one := { x : ℝ | 0<x ∧ x<1}
theorem Q2 : forall x : ℝ, x ∈ open_zero_one → ∃ y : ℝ, y ∈ open_zero_one ∧ x<y :=
begin
intro x,
intro H,
have H1 : (0:ℝ) < (2:ℝ),
exact lt_add_of_le_of_pos zero_le_one zero_lt_one,
existsi (x+1)/2,
split,
split,
have H2 : 0<x,
exact H.left,
have H3 : 0 < (x+1),
exact lt_add_of_lt_of_nonneg' H2 zero_le_one,
exact lt_div_of_mul_lt H1 (by simp [H3]),
suffices H2 : (x+1) < 2,
-- tell nmario that without simp theres a timeout
exact div_lt_of_mul_lt_of_pos H1 (by simp [H2]),
exact add_lt_add_right H.right 1,
have H2 : x*(1+1) < (x+1),
rw [mul_add,mul_one,add_lt_add_iff_left],
exact H.right,
have H3 : x*2<(x+1),
exact H2,
exact lt_div_of_mul_lt H1 H3,
-- simp [div_lt_div_of_lt_of_pos H2 H1],
end
-- set_option pp.notation false
theorem Q3a (n : int) : (3:ℤ) ∣ n^2 → 3 ∣ n :=
begin
intro Hn2,
-- let r := n % 3,
-- let q := int.div n 3,
-- have H : n = 3*q+r,
have H : n % 3 < 3,
exact @int.mod_lt_of_pos n 3 (by exact dec_trivial),
have H2 : n%3 ≥ 0,
exact int.mod_nonneg n (by exact dec_trivial),
have H3 : exists r:ℕ, (n%3) = int.of_nat r,
exact (int.eq_coe_of_zero_le H2),
cases H3 with r Hr,
have H3 : r<3,
rw [←int.coe_nat_lt_coe_nat_iff,←int.of_nat_eq_coe,←Hr],
exact H,
cases r with r0,
exact (int.dvd_iff_mod_eq_zero 3 n).mpr Hr,
cases r0 with r1,
clear H H2 H3,
exfalso,
have H : (n+2)%3=0,
rw [←int.mod_add_mod,Hr],
have H : int.of_nat 1 + 2 = 3,
exact dec_trivial,
rw [H],
exact int.mod_self,
have H2 : 3 ∣ ((n-2)*(n+2)),
-- rw [←int.dvd_iff_mod_eq_zero],
rw [←int.dvd_iff_mod_eq_zero] at H,
exact dvd_trans H (dvd_mul_left _ _),
simp at H2,
rw [mul_add,add_mul,add_mul,add_assoc,←add_assoc (2*n) _ _,mul_comm 2 n,←mul_add,add_neg_self,mul_zero,zero_add] at H2,
unfold pow_nat has_pow_nat.pow_nat pow_nat monoid.pow at Hn2,
have H3 : 3 ∣ n * (n * 1) - (n * n + 2 * -2),
exact dvd_sub Hn2 H2,
simp at H3,
rw [←add_assoc,add_neg_self,zero_add] at H3,
have H4 : ¬ ((3:ℤ) ∣ 2*2),
exact dec_trivial,
exact H4 H3,
cases r1 with r2,
clear H H2 H3,
exfalso,
have H : (n+1)%3=0,
rw [←int.mod_add_mod,Hr],
have H : int.of_nat 2 + 1 = 3,
exact dec_trivial,
rw [H],
exact int.mod_self,
have H2 : 3 ∣ ((n-1)*(n+1)),
-- rw [←int.dvd_iff_mod_eq_zero],
rw [←int.dvd_iff_mod_eq_zero] at H,
exact dvd_trans H (dvd_mul_left _ _),
simp at H2,
rw [mul_add,add_mul,add_mul,add_assoc,←add_assoc (1*n) _ _,mul_comm 1 n,←mul_add,add_neg_self,mul_zero,zero_add] at H2,
unfold pow_nat has_pow_nat.pow_nat pow_nat monoid.pow at Hn2,
have H3 : 3 ∣ n * (n * 1) - (n * n + 1 * -1),
exact dvd_sub Hn2 H2,
simp at H3,
have H4 : ¬ ((3:ℤ) ∣ 1),
exact dec_trivial,
exact H4 H3,
exfalso,
have H4 : r2+4 ≤ 3,
exact nat.succ_le_of_lt H3,
repeat {rw [nat.succ_le_succ_iff] at H4},
have H5 : nat.succ r2 > 0,
exact nat.zero_lt_succ r2,
have H6 : 0 < 0,
exact calc 0 < r2+1 : H5 ... ≤ 0 : H4,
have H7 : 0 ≠ 0, exact ne_of_gt H6,
have H8 : 0 = 0, refl,
exact H7 H8
-- unfold int.nat_mod at r,
-- unfold int.div at q,
end
-- set_option pp.notation false
-- Before we prove square root exists
-- we need some consequences of continuity
-- of squaring function
-- set_option pp.notation false
end M1F_Sheet02
|
5d01f40cfb38d00d7054b27c41de8b8b2a43708f | 57aec6ee746bc7e3a3dd5e767e53bd95beb82f6d | /src/Lean/Meta/FunInfo.lean | c7d17a569ad3b2a96f8738bc24e9581f98dbf3d4 | [
"Apache-2.0"
] | permissive | collares/lean4 | 861a9269c4592bce49b71059e232ff0bfe4594cc | 52a4f535d853a2c7c7eea5fee8a4fa04c682c1ee | refs/heads/master | 1,691,419,031,324 | 1,618,678,138,000 | 1,618,678,138,000 | 358,989,750 | 0 | 0 | Apache-2.0 | 1,618,696,333,000 | 1,618,696,333,000 | null | UTF-8 | Lean | false | false | 3,102 | lean | /-
Copyright (c) 2019 Microsoft Corporation. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Leonardo de Moura
-/
import Lean.Meta.Basic
import Lean.Meta.InferType
namespace Lean.Meta
@[inline] private def checkFunInfoCache (fn : Expr) (maxArgs? : Option Nat) (k : MetaM FunInfo) : MetaM FunInfo := do
let s ← get
let t ← getTransparency
match s.cache.funInfo.find? ⟨t, fn, maxArgs?⟩ with
| some finfo => pure finfo
| none => do
let finfo ← k
modify fun s => { s with cache := { s.cache with funInfo := s.cache.funInfo.insert ⟨t, fn, maxArgs?⟩ finfo } }
pure finfo
@[inline] private def whenHasVar {α} (e : Expr) (deps : α) (k : α → α) : α :=
if e.hasFVar then k deps else deps
private def collectDeps (fvars : Array Expr) (e : Expr) : Array Nat :=
let rec visit : Expr → Array Nat → Array Nat
| e@(Expr.app f a _), deps => whenHasVar e deps (visit a ∘ visit f)
| e@(Expr.forallE _ d b _), deps => whenHasVar e deps (visit b ∘ visit d)
| e@(Expr.lam _ d b _), deps => whenHasVar e deps (visit b ∘ visit d)
| e@(Expr.letE _ t v b _), deps => whenHasVar e deps (visit b ∘ visit v ∘ visit t)
| Expr.proj _ _ e _, deps => visit e deps
| Expr.mdata _ e _, deps => visit e deps
| e@(Expr.fvar _ _), deps =>
match fvars.indexOf? e with
| none => deps
| some i => if deps.contains i.val then deps else deps.push i.val
| _, deps => deps
let deps := visit e #[]
deps.qsort (fun i j => i < j)
/-- Update `hasFwdDeps` fields using new `backDeps` -/
private def updateHasFwdDeps (pinfo : Array ParamInfo) (backDeps : Array Nat) : Array ParamInfo :=
if backDeps.size == 0 then
pinfo
else
-- update hasFwdDeps fields
pinfo.mapIdx fun i info =>
if info.hasFwdDeps then info
else if backDeps.contains i then
{ info with hasFwdDeps := true }
else
info
private def getFunInfoAux (fn : Expr) (maxArgs? : Option Nat) : MetaM FunInfo :=
checkFunInfoCache fn maxArgs? do
let fnType ← inferType fn
withTransparency TransparencyMode.default do
forallBoundedTelescope fnType maxArgs? fun fvars type => do
let mut pinfo := #[]
for i in [:fvars.size] do
let fvar := fvars[i]
let decl ← getFVarLocalDecl fvar
let backDeps := collectDeps fvars decl.type
pinfo := updateHasFwdDeps pinfo backDeps
pinfo := pinfo.push {
backDeps := backDeps,
implicit := decl.binderInfo == BinderInfo.implicit,
instImplicit := decl.binderInfo == BinderInfo.instImplicit
}
let resultDeps := collectDeps fvars type
let pinfo := updateHasFwdDeps pinfo resultDeps
pure { resultDeps := resultDeps, paramInfo := pinfo }
def getFunInfo (fn : Expr) : MetaM FunInfo :=
getFunInfoAux fn none
def getFunInfoNArgs (fn : Expr) (nargs : Nat) : MetaM FunInfo :=
getFunInfoAux fn (some nargs)
end Lean.Meta
|
9504ee9579decbd3c060bc9c3bb6788f732f720b | 8cae430f0a71442d02dbb1cbb14073b31048e4b0 | /test/qify.lean | 733cacf73dcb79312c114f27e6f66cdc427568d9 | [
"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 | 869 | lean | import tactic.qify
example (a b : ℕ) : (a : ℚ) ≤ b ↔ a ≤ b := by qify ; refl
example (a b : ℕ) : (a : ℚ) < b ↔ a < b := by qify ; refl
example (a b : ℕ) : (a : ℚ) = b ↔ a = b := by qify ; refl
example (a b : ℕ) : (a : ℚ) ≠ b ↔ a ≠ b := by qify ; refl
example (a b : ℤ) : (a : ℚ) ≤ b ↔ a ≤ b := by qify ; refl
example (a b : ℤ) : (a : ℚ) < b ↔ a < b := by qify ; refl
example (a b : ℤ) : (a : ℚ) = b ↔ a = b := by qify ; refl
example (a b : ℤ) : (a : ℚ) ≠ b ↔ a ≠ b := by qify ; refl
example (a b c : ℕ) (h : a - b = c) (hab : b ≤ a) : a = c + b :=
begin
qify [hab] at h ⊢, -- `zify` does the same thing here.
exact sub_eq_iff_eq_add.1 h,
end
example (a b c : ℤ) (h : a / b = c) (hab : b ∣ a) (hb : b ≠ 0) : a = c * b :=
begin
qify [hab] at h hb ⊢,
exact (div_eq_iff hb).1 h,
end
|
7579b27387221c7977f4b97f66765772bdc7e005 | 4d2583807a5ac6caaffd3d7a5f646d61ca85d532 | /src/tactic/converter/apply_congr.lean | 7e834e5576877ce327a7f33a73deebfb5bc1e036 | [
"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 | 3,346 | lean | /-
Copyright (c) 2020 Scott Morrison. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Lucas Allen, Scott Morrison
-/
import tactic.interactive
import tactic.converter.interactive
/-!
## Introduce the `apply_congr` conv mode tactic.
`apply_congr` will apply congruence lemmas inside `conv` mode.
It is particularly useful when the automatically generated congruence lemmas
are not of the optimal shape. An example, described in the doc-string is
rewriting inside the operand of a `finset.sum`.
-/
open tactic
namespace conv.interactive
open interactive interactive.types lean.parser
local postfix `?`:9001 := optional
/--
Apply a congruence lemma inside `conv` mode.
When called without an argument `apply_congr` will try applying all lemmas marked with `@[congr]`.
Otherwise `apply_congr e` will apply the lemma `e`.
Recall that a goal that appears as `∣ X` in `conv` mode
represents a goal of `⊢ X = ?m`,
i.e. an equation with a metavariable for the right hand side.
To successfully use `apply_congr e`, `e` will need to be an equation
(possibly after function arguments),
which can be unified with a goal of the form `X = ?m`.
The right hand side of `e` will then determine the metavariable,
and `conv` will subsequently replace `X` with that right hand side.
As usual, `apply_congr` can create new goals;
any of these which are _not_ equations with a metavariable on the right hand side
will be hard to deal with in `conv` mode.
Thus `apply_congr` automatically calls `intros` on any new goals,
and fails if they are not then equations.
In particular it is useful for rewriting inside the operand of a `finset.sum`,
as it provides an extra hypothesis asserting we are inside the domain.
For example:
```lean
example (f g : ℤ → ℤ) (S : finset ℤ) (h : ∀ m ∈ S, f m = g m) :
finset.sum S f = finset.sum S g :=
begin
conv_lhs {
-- If we just call `congr` here, in the second goal we're helpless,
-- because we are only given the opportunity to rewrite `f`.
-- However `apply_congr` uses the appropriate `@[congr]` lemma,
-- so we get to rewrite `f x`, in the presence of the crucial `H : x ∈ S` hypothesis.
apply_congr,
skip,
simp [h, H], }
end
```
In the above example, when the `apply_congr` tactic is called it gives the hypothesis `H : x ∈ S`
which is then used to rewrite the `f x` to `g x`.
-/
meta def apply_congr (q : parse texpr?) : conv unit :=
do
congr_lemmas ← match q with
-- If the user specified a lemma, use that one,
| some e := do
gs ← get_goals,
e ← to_expr e, -- to_expr messes with the goals? (see tests)
set_goals gs,
return [e]
-- otherwise, look up everything tagged `@[congr]`
| none := do
congr_lemma_names ← attribute.get_instances `congr,
congr_lemma_names.mmap mk_const
end,
-- For every lemma:
congr_lemmas.any_of (λ n,
-- Call tactic.eapply
seq' (tactic.eapply n >> tactic.skip)
-- and then call `intros` on each resulting goal, and require that afterwards it's an equation.
(tactic.intros >> (do `(_ = _) ← target, tactic.skip)))
add_tactic_doc {
name := "apply_congr",
category := doc_category.tactic,
decl_names := [`conv.interactive.apply_congr],
tags := ["conv", "congruence", "rewriting"]
}
end conv.interactive
|
2a5e6f62126144ce21da573145543e8c4dbf7445 | 74addaa0e41490cbaf2abd313a764c96df57b05d | /Mathlib/category_theory/closed/types.lean | aa025f1148bdc238e8b5b91d42511339dadee4b1 | [] | 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 | 2,524 | lean | /-
Copyright (c) 2020 Bhavik Mehta. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Bhavik Mehta
-/
import Mathlib.PrePort
import Mathlib.Lean3Lib.init.default
import Mathlib.category_theory.limits.presheaf
import Mathlib.category_theory.limits.preserves.functor_category
import Mathlib.category_theory.limits.shapes.types
import Mathlib.category_theory.closed.cartesian
import Mathlib.PostPort
universes v₁ u₁
namespace Mathlib
/-!
# Cartesian closure of Type
Show that `Type u₁` is cartesian closed, and `C ⥤ Type u₁` is cartesian closed for `C` a small
category in `Type u₁`.
Note this implies that the category of presheaves on a small category `C` is cartesian closed.
-/
namespace category_theory
protected instance obj.is_left_adjoint (X : Type v₁) : is_left_adjoint (functor.obj limits.types.binary_product_functor X) :=
is_left_adjoint.mk (functor.mk (fun (Y : Type v₁) => X ⟶ Y) fun (Y₁ Y₂ : Type v₁) (f : Y₁ ⟶ Y₂) (g : X ⟶ Y₁) => g ≫ f)
(adjunction.mk_of_unit_counit
(adjunction.core_unit_counit.mk (nat_trans.mk fun (Z : Type v₁) (z : Z) (x : X) => (x, z))
(nat_trans.mk
fun (Z : Type v₁)
(xf :
functor.obj
((functor.mk (fun (Y : Type v₁) => X ⟶ Y) fun (Y₁ Y₂ : Type v₁) (f : Y₁ ⟶ Y₂) (g : X ⟶ Y₁) => g ≫ f) ⋙
functor.obj limits.types.binary_product_functor X)
Z) =>
prod.snd xf (prod.fst xf))))
protected instance sort.limits.has_finite_products : limits.has_finite_products (Type v₁) :=
limits.has_finite_products_of_has_products (Type v₁)
protected instance sort.cartesian_closed : cartesian_closed (Type v₁) :=
monoidal_closed.mk
fun (X : Type v₁) => closed.mk (adjunction.left_adjoint_of_nat_iso (iso.app limits.types.binary_product_iso_prod X))
protected instance functor.limits.has_finite_products {C : Type u₁} [category C] : limits.has_finite_products (C ⥤ Type u₁) :=
limits.has_finite_products_of_has_products (C ⥤ Type u₁)
protected instance functor.cartesian_closed {C : Type v₁} [small_category C] : cartesian_closed (C ⥤ Type v₁) :=
monoidal_closed.mk
fun (F : C ⥤ Type v₁) =>
closed.mk
(let _inst : limits.preserves_colimits (functor.obj limits.prod.functor F) :=
functor_category.prod_preserves_colimits F;
is_left_adjoint_of_preserves_colimits (functor.obj limits.prod.functor F))
|
c20b97781041731786e6cd278643a004a8ac2ff8 | 130c49f47783503e462c16b2eff31933442be6ff | /src/Init/Data/Format/Basic.lean | 52e55d41f847378200cfbe8ff0fc4718d1dd6786 | [
"Apache-2.0"
] | permissive | Hazel-Brown/lean4 | 8aa5860e282435ffc30dcdfccd34006c59d1d39c | 79e6732fc6bbf5af831b76f310f9c488d44e7a16 | refs/heads/master | 1,689,218,208,951 | 1,629,736,869,000 | 1,629,736,896,000 | null | 0 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 7,632 | lean | /-
Copyright (c) 2018 Microsoft Corporation. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Author: Leonardo de Moura
-/
prelude
import Init.Control.State
import Init.Data.Int.Basic
import Init.Data.String.Basic
namespace Std
inductive Format.FlattenBehavior where
| allOrNone
| fill
deriving Inhabited, BEq
open Format
inductive Format where
| nil : Format
| line : Format
| text : String → Format
| nest (indent : Int) : Format → Format
| append : Format → Format → Format
| group : Format → (behavior : FlattenBehavior := FlattenBehavior.allOrNone) → Format
/- Used for associating auxiliary information (e.g. `Expr`s) with `Format` objects. -/
| tag : Nat → Format → Format
deriving Inhabited
namespace Format
def fill (f : Format) : Format :=
group f (behavior := FlattenBehavior.fill)
@[export lean_format_append]
protected def appendEx (a b : Format) : Format :=
append a b
@[export lean_format_group]
protected def groupEx : Format → Format :=
group
instance : Append Format := ⟨Format.append⟩
instance : Coe String Format := ⟨text⟩
def join (xs : List Format) : Format :=
xs.foldl (·++·) ""
def isNil : Format → Bool
| nil => true
| _ => false
private structure SpaceResult where
foundLine : Bool := false
foundFlattenedHardLine : Bool := false
space : Nat := 0
deriving Inhabited
@[inline] private def merge (w : Nat) (r₁ : SpaceResult) (r₂ : Nat → SpaceResult) : SpaceResult :=
if r₁.space > w || r₁.foundLine then
r₁
else
let r₂ := r₂ (w - r₁.space);
{ r₂ with space := r₁.space + r₂.space }
private def spaceUptoLine : Format → Bool → Nat → SpaceResult
| nil, flatten, w => {}
| line, flatten, w => if flatten then { space := 1 } else { foundLine := true }
| text s, flatten, w =>
let p := s.posOf '\n';
let off := s.offsetOfPos p;
{ foundLine := p != s.bsize, foundFlattenedHardLine := flatten && p != s.bsize, space := off }
| append f₁ f₂, flatten, w => merge w (spaceUptoLine f₁ flatten w) (spaceUptoLine f₂ flatten)
| nest _ f, flatten, w => spaceUptoLine f flatten w
| group f _, _, w => spaceUptoLine f true w
| tag _ f, flatten, w => spaceUptoLine f flatten w
private structure WorkItem where
f : Format
indent : Int
private structure WorkGroup where
flatten : Bool
flb : FlattenBehavior
items : List WorkItem
private partial def spaceUptoLine' : List WorkGroup → Nat → SpaceResult
| [], w => {}
| { items := [], .. }::gs, w => spaceUptoLine' gs w
| g@{ items := i::is, .. }::gs, w => merge w (spaceUptoLine i.f g.flatten w) (spaceUptoLine' ({ g with items := is }::gs))
private structure State where
out : String := ""
column : Nat := 0
private def pushGroup (flb : FlattenBehavior) (items : List WorkItem) (gs : List WorkGroup) (w : Nat) : StateM State (List WorkGroup) := do
let k := (← get).column
-- Flatten group if it + the remainder (gs) fits in the remaining space. For `fill`, measure only up to the next (ungrouped) line break.
let g := { flatten := flb == FlattenBehavior.allOrNone, flb := flb, items := items : WorkGroup }
let r := spaceUptoLine' [g] (w-k)
let r' := merge (w-k) r (spaceUptoLine' gs);
-- Prevent flattening if any item contains a hard line break, except within `fill` if it is ungrouped (=> unflattened)
return { g with flatten := !r.foundFlattenedHardLine && r'.space <= w-k }::gs
private def pushOutput (s : String) : StateM State Unit :=
-- We avoid a structure instance update, and write this function using pattern matching because of issue #361
modify fun ⟨out, col⟩ => ⟨out ++ s, col + s.length⟩
private def pushNewline (indent : Nat) : StateM State Unit :=
modify fun st => { st with out := st.out ++ "\n".pushn ' ' indent, column := indent }
private partial def be (w : Nat) : List WorkGroup → StateM State Unit
| [] => pure ()
| { items := [], .. }::gs => be w gs
| g@{ items := i::is, .. }::gs => do
let gs' (is' : List WorkItem) := { g with items := is' }::gs;
match i.f with
| nil => be w (gs' is)
| tag _ f => be w (gs' ({ i with f }::is))
| append f₁ f₂ => be w (gs' ({ i with f := f₁ }::{ i with f := f₂ }::is))
| nest n f => be w (gs' ({ i with f := f, indent := i.indent + n }::is))
| text s =>
let p := s.posOf '\n'
if p == s.bsize then
pushOutput s
be w (gs' is)
else
pushOutput (s.extract 0 p)
pushNewline i.indent.toNat
let is := { i with f := s.extract (s.next p) s.bsize }::is
-- after a hard line break, re-evaluate whether to flatten the remaining group
pushGroup g.flb is gs w >>= be w
| line =>
match g.flb with
| FlattenBehavior.allOrNone =>
if g.flatten then
-- flatten line = text " "
pushOutput " "
be w (gs' is)
else
pushNewline i.indent.toNat
be w (gs' is)
| FlattenBehavior.fill =>
let breakHere := do
pushNewline i.indent.toNat
-- make new `fill` group and recurse
pushGroup FlattenBehavior.fill is gs w >>= be w
-- if preceding fill item fit in a single line, try to fit next one too
if g.flatten then
let gs'@(g'::_) ← pushGroup FlattenBehavior.fill is gs (w - " ".length)
| panic "unreachable"
if g'.flatten then
pushOutput " ";
be w gs' -- TODO: use `return`
else
breakHere
else
breakHere
| group f flb =>
if g.flatten then
-- flatten (group f) = flatten f
be w (gs' ({ i with f := f }::is))
else
pushGroup flb [{ i with f := f }] (gs' is) w >>= be w
@[inline] def bracket (l : String) (f : Format) (r : String) : Format :=
group (nest l.length $ l ++ f ++ r)
@[inline] def paren (f : Format) : Format :=
bracket "(" f ")"
@[inline] def sbracket (f : Format) : Format :=
bracket "[" f "]"
@[inline] def bracketFill (l : String) (f : Format) (r : String) : Format :=
fill (nest l.length $ l ++ f ++ r)
def defIndent := 2
def defUnicode := true
def defWidth := 120
def nestD (f : Format) : Format :=
nest defIndent f
def indentD (f : Format) : Format :=
nestD (Format.line ++ f)
@[export lean_format_pretty]
def pretty (f : Format) (w : Nat := defWidth) : String :=
let (_, st) := be w [{ flb := FlattenBehavior.allOrNone, flatten := false, items := [{ f := f, indent := 0 }] }] {};
st.out
end Format
class ToFormat (α : Type u) where
format : α → Format
export ToFormat (format)
-- note: must take precendence over the above instance to avoid premature formatting
instance : ToFormat Format where
format f := f
instance : ToFormat String where
format s := Format.text s
def Format.joinSep {α : Type u} [ToFormat α] : List α → Format → Format
| [], sep => nil
| [a], sep => format a
| a::as, sep => format a ++ sep ++ joinSep as sep
def Format.prefixJoin {α : Type u} [ToFormat α] (pre : Format) : List α → Format
| [] => nil
| a::as => pre ++ format a ++ prefixJoin pre as
def Format.joinSuffix {α : Type u} [ToFormat α] : List α → Format → Format
| [], suffix => nil
| a::as, suffix => format a ++ suffix ++ joinSuffix as suffix
end Std
|
5fe5b53edf531f8efc3dc67f57c9b18960529ffc | abd85493667895c57a7507870867b28124b3998f | /src/data/seq/computation.lean | c2b41cf6ba7b0d0e99353c5453757baabe14ee6d | [
"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 | 37,569 | lean | /-
Copyright (c) 2017 Microsoft Corporation. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Author: Mario Carneiro
Coinductive formalization of unbounded computations.
-/
import data.stream
import tactic.basic
universes u v w
/-
coinductive computation (α : Type u) : Type u
| return : α → computation α
| think : computation α → computation α
-/
/-- `computation α` is the type of unbounded computations returning `α`.
An element of `computation α` is an infinite sequence of `option α` such
that if `f n = some a` for some `n` then it is constantly `some a` after that. -/
def computation (α : Type u) : Type u :=
{ f : stream (option α) // ∀ {n a}, f n = some a → f (n+1) = some a }
namespace computation
variables {α : Type u} {β : Type v} {γ : Type w}
-- constructors
/-- `return a` is the computation that immediately terminates with result `a`. -/
def return (a : α) : computation α := ⟨stream.const (some a), λn a', id⟩
instance : has_coe_t α (computation α) := ⟨return⟩ -- note [use has_coe_t]
/-- `think c` is the computation that delays for one "tick" and then performs
computation `c`. -/
def think (c : computation α) : computation α :=
⟨none :: c.1, λn a h, by {cases n with n, contradiction, exact c.2 h}⟩
/-- `thinkN c n` is the computation that delays for `n` ticks and then performs
computation `c`. -/
def thinkN (c : computation α) : ℕ → computation α
| 0 := c
| (n+1) := think (thinkN n)
-- check for immediate result
/-- `head c` is the first step of computation, either `some a` if `c = return a`
or `none` if `c = think c'`. -/
def head (c : computation α) : option α := c.1.head
-- one step of computation
/-- `tail c` is the remainder of computation, either `c` if `c = return a`
or `c'` if `c = think c'`. -/
def tail (c : computation α) : computation α :=
⟨c.1.tail, λ n a, let t := c.2 in t⟩
/-- `empty α` is the computation that never returns, an infinite sequence of
`think`s. -/
def empty (α) : computation α := ⟨stream.const none, λn a', id⟩
instance : inhabited (computation α) := ⟨empty _⟩
/-- `run_for c n` evaluates `c` for `n` steps and returns the result, or `none`
if it did not terminate after `n` steps. -/
def run_for : computation α → ℕ → option α := subtype.val
/-- `destruct c` is the destructor for `computation α` as a coinductive type.
It returns `inl a` if `c = return a` and `inr c'` if `c = think c'`. -/
def destruct (c : computation α) : α ⊕ computation α :=
match c.1 0 with
| none := sum.inr (tail c)
| some a := sum.inl a
end
/-- `run c` is an unsound meta function that runs `c` to completion, possibly
resulting in an infinite loop in the VM. -/
meta def run : computation α → α | c :=
match destruct c with
| sum.inl a := a
| sum.inr ca := run ca
end
theorem destruct_eq_ret {s : computation α} {a : α} :
destruct s = sum.inl a → s = return a :=
begin
dsimp [destruct],
induction f0 : s.1 0; intro h,
{ contradiction },
{ apply subtype.eq, funext n,
induction n with n IH,
{ injection h with h', rwa h' at f0 },
{ exact s.2 IH } }
end
theorem destruct_eq_think {s : computation α} {s'} :
destruct s = sum.inr s' → s = think s' :=
begin
dsimp [destruct],
induction f0 : s.1 0 with a'; intro h,
{ injection h with h', rw ←h',
cases s with f al,
apply subtype.eq, dsimp [think, tail],
rw ←f0, exact (stream.eta f).symm },
{ contradiction }
end
@[simp] theorem destruct_ret (a : α) : destruct (return a) = sum.inl a := rfl
@[simp] theorem destruct_think : ∀ s : computation α, destruct (think s) = sum.inr s
| ⟨f, al⟩ := rfl
@[simp] theorem destruct_empty : destruct (empty α) = sum.inr (empty α) := rfl
@[simp] theorem head_ret (a : α) : head (return a) = some a := rfl
@[simp] theorem head_think (s : computation α) : head (think s) = none := rfl
@[simp] theorem head_empty : head (empty α) = none := rfl
@[simp] theorem tail_ret (a : α) : tail (return a) = return a := rfl
@[simp] theorem tail_think (s : computation α) : tail (think s) = s :=
by cases s with f al; apply subtype.eq; dsimp [tail, think]; rw [stream.tail_cons]
@[simp] theorem tail_empty : tail (empty α) = empty α := rfl
theorem think_empty : empty α = think (empty α) :=
destruct_eq_think destruct_empty
def cases_on {C : computation α → Sort v} (s : computation α)
(h1 : ∀ a, C (return a)) (h2 : ∀ s, C (think s)) : C s := begin
induction H : destruct s with v v,
{ rw destruct_eq_ret H, apply h1 },
{ cases v with a s', rw destruct_eq_think H, apply h2 }
end
def corec.F (f : β → α ⊕ β) : α ⊕ β → option α × (α ⊕ β)
| (sum.inl a) := (some a, sum.inl a)
| (sum.inr b) := (match f b with
| sum.inl a := some a
| sum.inr b' := none
end, f b)
/-- `corec f b` is the corecursor for `computation α` as a coinductive type.
If `f b = inl a` then `corec f b = return a`, and if `f b = inl b'` then
`corec f b = think (corec f b')`. -/
def corec (f : β → α ⊕ β) (b : β) : computation α :=
begin
refine ⟨stream.corec' (corec.F f) (sum.inr b), λn a' h, _⟩,
rw stream.corec'_eq,
change stream.corec' (corec.F f) (corec.F f (sum.inr b)).2 n = some a',
revert h, generalize : sum.inr b = o, revert o,
induction n with n IH; intro o,
{ change (corec.F f o).1 = some a' → (corec.F f (corec.F f o).2).1 = some a',
cases o with a b; intro h, { exact h },
dsimp [corec.F] at h, dsimp [corec.F],
cases f b with a b', { exact h },
{ contradiction } },
{ rw [stream.corec'_eq (corec.F f) (corec.F f o).2,
stream.corec'_eq (corec.F f) o],
exact IH (corec.F f o).2 }
end
/-- left map of `⊕` -/
def lmap (f : α → β) : α ⊕ γ → β ⊕ γ
| (sum.inl a) := sum.inl (f a)
| (sum.inr b) := sum.inr b
/-- right map of `⊕` -/
def rmap (f : β → γ) : α ⊕ β → α ⊕ γ
| (sum.inl a) := sum.inl a
| (sum.inr b) := sum.inr (f b)
attribute [simp] lmap rmap
@[simp] lemma corec_eq (f : β → α ⊕ β) (b : β) :
destruct (corec f b) = rmap (corec f) (f b) :=
begin
dsimp [corec, destruct],
change stream.corec' (corec.F f) (sum.inr b) 0 with corec.F._match_1 (f b),
induction h : f b with a b', { refl },
dsimp [corec.F, destruct],
apply congr_arg, apply subtype.eq,
dsimp [corec, tail],
rw [stream.corec'_eq, stream.tail_cons],
dsimp [corec.F], rw h
end
section bisim
variable (R : computation α → computation α → Prop)
local infix ~ := R
def bisim_o : α ⊕ computation α → α ⊕ computation α → Prop
| (sum.inl a) (sum.inl a') := a = a'
| (sum.inr s) (sum.inr s') := R s s'
| _ _ := false
attribute [simp] bisim_o
def is_bisimulation := ∀ ⦃s₁ s₂⦄, s₁ ~ s₂ → bisim_o R (destruct s₁) (destruct s₂)
-- If two computations are bisimilar, then they are equal
theorem eq_of_bisim (bisim : is_bisimulation R) {s₁ s₂} (r : s₁ ~ s₂) : s₁ = s₂ :=
begin
apply subtype.eq,
apply stream.eq_of_bisim (λx y, ∃ s s' : computation α, s.1 = x ∧ s'.1 = y ∧ R s s'),
dsimp [stream.is_bisimulation],
intros t₁ t₂ e,
exact match t₁, t₂, e with ._, ._, ⟨s, s', rfl, rfl, r⟩ :=
suffices head s = head s' ∧ R (tail s) (tail s'), from
and.imp id (λr, ⟨tail s, tail s',
by cases s; refl, by cases s'; refl, r⟩) this,
begin
have := bisim r, revert r this,
apply cases_on s _ _; intros; apply cases_on s' _ _; intros; intros r this,
{ constructor, dsimp at this, rw this, assumption },
{ rw [destruct_ret, destruct_think] at this,
exact false.elim this },
{ rw [destruct_ret, destruct_think] at this,
exact false.elim this },
{ simp at this, simp [*] }
end
end,
exact ⟨s₁, s₂, rfl, rfl, r⟩
end
end bisim
-- It's more of a stretch to use ∈ for this relation, but it
-- asserts that the computation limits to the given value.
protected def mem (a : α) (s : computation α) := some a ∈ s.1
instance : has_mem α (computation α) := ⟨computation.mem⟩
theorem le_stable (s : computation α) {a m n} (h : m ≤ n) :
s.1 m = some a → s.1 n = some a :=
by {cases s with f al, induction h with n h IH, exacts [id, λ h2, al (IH h2)]}
theorem mem_unique :
relator.left_unique ((∈) : α → computation α → Prop) :=
λa s b ⟨m, ha⟩ ⟨n, hb⟩, by injection
(le_stable s (le_max_left m n) ha.symm).symm.trans
(le_stable s (le_max_right m n) hb.symm)
/-- `terminates s` asserts that the computation `s` eventually terminates with some value. -/
@[class] def terminates (s : computation α) : Prop := ∃ a, a ∈ s
theorem terminates_of_mem {s : computation α} {a : α} : a ∈ s → terminates s :=
exists.intro a
theorem terminates_def (s : computation α) : terminates s ↔ ∃ n, (s.1 n).is_some :=
⟨λ⟨a, n, h⟩, ⟨n, by {dsimp [stream.nth] at h, rw ←h, exact rfl}⟩,
λ⟨n, h⟩, ⟨option.get h, n, (option.eq_some_of_is_some h).symm⟩⟩
theorem ret_mem (a : α) : a ∈ return a :=
exists.intro 0 rfl
theorem eq_of_ret_mem {a a' : α} (h : a' ∈ return a) : a' = a :=
mem_unique h (ret_mem _)
instance ret_terminates (a : α) : terminates (return a) :=
terminates_of_mem (ret_mem _)
theorem think_mem {s : computation α} {a} : a ∈ s → a ∈ think s
| ⟨n, h⟩ := ⟨n+1, h⟩
instance think_terminates (s : computation α) :
∀ [terminates s], terminates (think s)
| ⟨a, n, h⟩ := ⟨a, n+1, h⟩
theorem of_think_mem {s : computation α} {a} : a ∈ think s → a ∈ s
| ⟨n, h⟩ := by {cases n with n', contradiction, exact ⟨n', h⟩}
theorem of_think_terminates {s : computation α} :
terminates (think s) → terminates s
| ⟨a, h⟩ := ⟨a, of_think_mem h⟩
theorem not_mem_empty (a : α) : a ∉ empty α :=
λ ⟨n, h⟩, by clear _fun_match; contradiction
theorem not_terminates_empty : ¬ terminates (empty α) :=
λ ⟨a, h⟩, not_mem_empty a h
theorem eq_empty_of_not_terminates {s} (H : ¬ terminates s) : s = empty α :=
begin
apply subtype.eq, funext n,
induction h : s.val n, {refl},
refine absurd _ H, exact ⟨_, _, h.symm⟩
end
theorem thinkN_mem {s : computation α} {a} : ∀ n, a ∈ thinkN s n ↔ a ∈ s
| 0 := iff.rfl
| (n+1) := iff.trans ⟨of_think_mem, think_mem⟩ (thinkN_mem n)
instance thinkN_terminates (s : computation α) :
∀ [terminates s] n, terminates (thinkN s n)
| ⟨a, h⟩ n := ⟨a, (thinkN_mem n).2 h⟩
theorem of_thinkN_terminates (s : computation α) (n) :
terminates (thinkN s n) → terminates s
| ⟨a, h⟩ := ⟨a, (thinkN_mem _).1 h⟩
/-- `promises s a`, or `s ~> a`, asserts that although the computation `s`
may not terminate, if it does, then the result is `a`. -/
def promises (s : computation α) (a : α) : Prop := ∀ ⦃a'⦄, a' ∈ s → a = a'
infix ` ~> `:50 := promises
theorem mem_promises {s : computation α} {a : α} : a ∈ s → s ~> a :=
λ h a', mem_unique h
theorem empty_promises (a : α) : empty α ~> a :=
λ a' h, absurd h (not_mem_empty _)
section get
variables (s : computation α) [h : terminates s]
include s h
/-- `length s` gets the number of steps of a terminating computation -/
def length : ℕ := nat.find ((terminates_def _).1 h)
/-- `get s` returns the result of a terminating computation -/
def get : α := option.get (nat.find_spec $ (terminates_def _).1 h)
theorem get_mem : get s ∈ s :=
exists.intro (length s) (option.eq_some_of_is_some _).symm
theorem get_eq_of_mem {a} : a ∈ s → get s = a :=
mem_unique (get_mem _)
theorem mem_of_get_eq {a} : get s = a → a ∈ s :=
by intro h; rw ←h; apply get_mem
@[simp] theorem get_think : get (think s) = get s :=
get_eq_of_mem _ $ let ⟨n, h⟩ := get_mem s in ⟨n+1, h⟩
@[simp] theorem get_thinkN (n) : get (thinkN s n) = get s :=
get_eq_of_mem _ $ (thinkN_mem _).2 (get_mem _)
theorem get_promises : s ~> get s := λ a, get_eq_of_mem _
theorem mem_of_promises {a} (p : s ~> a) : a ∈ s :=
by unfreezeI; cases h with a' h; rw p h; exact h
theorem get_eq_of_promises {a} : s ~> a → get s = a :=
get_eq_of_mem _ ∘ mem_of_promises _
end get
/-- `results s a n` completely characterizes a terminating computation:
it asserts that `s` terminates after exactly `n` steps, with result `a`. -/
def results (s : computation α) (a : α) (n : ℕ) :=
∃ (h : a ∈ s), @length _ s (terminates_of_mem h) = n
theorem results_of_terminates (s : computation α) [T : terminates s] :
results s (get s) (length s) :=
⟨get_mem _, rfl⟩
theorem results_of_terminates' (s : computation α) [T : terminates s] {a} (h : a ∈ s) :
results s a (length s) :=
by rw ←get_eq_of_mem _ h; apply results_of_terminates
theorem results.mem {s : computation α} {a n} : results s a n → a ∈ s
| ⟨m, _⟩ := m
theorem results.terminates {s : computation α} {a n} (h : results s a n) : terminates s :=
terminates_of_mem h.mem
theorem results.length {s : computation α} {a n} [T : terminates s] :
results s a n → length s = n
| ⟨_, h⟩ := h
theorem results.val_unique {s : computation α} {a b m n}
(h1 : results s a m) (h2 : results s b n) : a = b :=
mem_unique h1.mem h2.mem
theorem results.len_unique {s : computation α} {a b m n}
(h1 : results s a m) (h2 : results s b n) : m = n :=
by haveI := h1.terminates; haveI := h2.terminates; rw [←h1.length, h2.length]
theorem exists_results_of_mem {s : computation α} {a} (h : a ∈ s) : ∃ n, results s a n :=
by haveI := terminates_of_mem h; exact ⟨_, results_of_terminates' s h⟩
@[simp] theorem get_ret (a : α) : get (return a) = a :=
get_eq_of_mem _ ⟨0, rfl⟩
@[simp] theorem length_ret (a : α) : length (return a) = 0 :=
let h := computation.ret_terminates a in
nat.eq_zero_of_le_zero $ nat.find_min' ((terminates_def (return a)).1 h) rfl
theorem results_ret (a : α) : results (return a) a 0 :=
⟨_, length_ret _⟩
@[simp] theorem length_think (s : computation α) [h : terminates s] :
length (think s) = length s + 1 :=
begin
apply le_antisymm,
{ exact nat.find_min' _ (nat.find_spec ((terminates_def _).1 h)) },
{ have : (option.is_some ((think s).val (length (think s))) : Prop) :=
nat.find_spec ((terminates_def _).1 s.think_terminates),
cases length (think s) with n,
{ contradiction },
{ apply nat.succ_le_succ, apply nat.find_min', apply this } }
end
theorem results_think {s : computation α} {a n}
(h : results s a n) : results (think s) a (n + 1) :=
by haveI := h.terminates; exact ⟨think_mem h.mem, by rw [length_think, h.length]⟩
theorem of_results_think {s : computation α} {a n}
(h : results (think s) a n) : ∃ m, results s a m ∧ n = m + 1 :=
begin
haveI := of_think_terminates h.terminates,
have := results_of_terminates' _ (of_think_mem h.mem),
exact ⟨_, this, results.len_unique h (results_think this)⟩,
end
@[simp] theorem results_think_iff {s : computation α} {a n} :
results (think s) a (n + 1) ↔ results s a n :=
⟨λ h, let ⟨n', r, e⟩ := of_results_think h in by injection e with h'; rwa h',
results_think⟩
theorem results_thinkN {s : computation α} {a m} :
∀ n, results s a m → results (thinkN s n) a (m + n)
| 0 h := h
| (n+1) h := results_think (results_thinkN n h)
theorem results_thinkN_ret (a : α) (n) : results (thinkN (return a) n) a n :=
by have := results_thinkN n (results_ret a); rwa nat.zero_add at this
@[simp] theorem length_thinkN (s : computation α) [h : terminates s] (n) :
length (thinkN s n) = length s + n :=
(results_thinkN n (results_of_terminates _)).length
theorem eq_thinkN {s : computation α} {a n} (h : results s a n) :
s = thinkN (return a) n :=
begin
revert s,
induction n with n IH; intro s;
apply cases_on s (λ a', _) (λ s, _); intro h,
{ rw ←eq_of_ret_mem h.mem, refl },
{ cases of_results_think h with n h, cases h, contradiction },
{ have := h.len_unique (results_ret _), contradiction },
{ rw IH (results_think_iff.1 h), refl }
end
theorem eq_thinkN' (s : computation α) [h : terminates s] :
s = thinkN (return (get s)) (length s) :=
eq_thinkN (results_of_terminates _)
def mem_rec_on {C : computation α → Sort v} {a s} (M : a ∈ s)
(h1 : C (return a)) (h2 : ∀ s, C s → C (think s)) : C s :=
begin
haveI T := terminates_of_mem M,
rw [eq_thinkN' s, get_eq_of_mem s M],
generalize : length s = n,
induction n with n IH, exacts [h1, h2 _ IH]
end
def terminates_rec_on {C : computation α → Sort v} (s) [terminates s]
(h1 : ∀ a, C (return a)) (h2 : ∀ s, C s → C (think s)) : C s :=
mem_rec_on (get_mem s) (h1 _) h2
/-- Map a function on the result of a computation. -/
def map (f : α → β) : computation α → computation β
| ⟨s, al⟩ := ⟨s.map (λo, option.cases_on o none (some ∘ f)),
λn b, begin
dsimp [stream.map, stream.nth],
induction e : s n with a; intro h,
{ contradiction }, { rw [al e, ←h] }
end⟩
def bind.G : β ⊕ computation β → β ⊕ computation α ⊕ computation β
| (sum.inl b) := sum.inl b
| (sum.inr cb') := sum.inr $ sum.inr cb'
def bind.F (f : α → computation β) :
computation α ⊕ computation β → β ⊕ computation α ⊕ computation β
| (sum.inl ca) :=
match destruct ca with
| sum.inl a := bind.G $ destruct (f a)
| sum.inr ca' := sum.inr $ sum.inl ca'
end
| (sum.inr cb) := bind.G $ destruct cb
/-- Compose two computations into a monadic `bind` operation. -/
def bind (c : computation α) (f : α → computation β) : computation β :=
corec (bind.F f) (sum.inl c)
instance : has_bind computation := ⟨@bind⟩
theorem has_bind_eq_bind {β} (c : computation α) (f : α → computation β) :
c >>= f = bind c f := rfl
/-- Flatten a computation of computations into a single computation. -/
def join (c : computation (computation α)) : computation α := c >>= id
@[simp] theorem map_ret (f : α → β) (a) : map f (return a) = return (f a) := rfl
@[simp] theorem map_think (f : α → β) : ∀ s, map f (think s) = think (map f s)
| ⟨s, al⟩ := by apply subtype.eq; dsimp [think, map]; rw stream.map_cons
@[simp]
theorem destruct_map (f : α → β) (s) : destruct (map f s) = lmap f (rmap (map f) (destruct s)) :=
by apply s.cases_on; intro; simp
@[simp] theorem map_id : ∀ (s : computation α), map id s = s
| ⟨f, al⟩ := begin
apply subtype.eq; simp [map, function.comp],
have e : (@option.rec α (λ_, option α) none some) = id,
{ funext x, cases x; refl },
simp [e, stream.map_id]
end
theorem map_comp (f : α → β) (g : β → γ) :
∀ (s : computation α), map (g ∘ f) s = map g (map f s)
| ⟨s, al⟩ := begin
apply subtype.eq; dsimp [map],
rw stream.map_map,
apply congr_arg (λ f : _ → option γ, stream.map f s),
funext x, cases x with x; refl
end
@[simp] theorem ret_bind (a) (f : α → computation β) :
bind (return a) f = f a :=
begin
apply eq_of_bisim (λc₁ c₂,
c₁ = bind (return a) f ∧ c₂ = f a ∨
c₁ = corec (bind.F f) (sum.inr c₂)),
{ intros c₁ c₂ h,
exact match c₁, c₂, h with
| ._, ._, or.inl ⟨rfl, rfl⟩ := begin
simp [bind, bind.F],
cases destruct (f a) with b cb; simp [bind.G]
end
| ._, c, or.inr rfl := begin
simp [bind.F],
cases destruct c with b cb; simp [bind.G]
end end },
{ simp }
end
@[simp] theorem think_bind (c) (f : α → computation β) :
bind (think c) f = think (bind c f) :=
destruct_eq_think $ by simp [bind, bind.F]
@[simp] theorem bind_ret (f : α → β) (s) : bind s (return ∘ f) = map f s :=
begin
apply eq_of_bisim (λc₁ c₂, c₁ = c₂ ∨
∃ s, c₁ = bind s (return ∘ f) ∧ c₂ = map f s),
{ intros c₁ c₂ h,
exact match c₁, c₂, h with
| _, _, or.inl (eq.refl c) := begin cases destruct c with b cb; simp end
| _, _, or.inr ⟨s, rfl, rfl⟩ := begin
apply cases_on s; intros s; simp,
exact or.inr ⟨s, rfl, rfl⟩
end end },
{ exact or.inr ⟨s, rfl, rfl⟩ }
end
@[simp] theorem bind_ret' (s : computation α) : bind s return = s :=
by rw bind_ret; change (λ x : α, x) with @id α; rw map_id
@[simp] theorem bind_assoc (s : computation α) (f : α → computation β) (g : β → computation γ) :
bind (bind s f) g = bind s (λ (x : α), bind (f x) g) :=
begin
apply eq_of_bisim (λc₁ c₂, c₁ = c₂ ∨
∃ s, c₁ = bind (bind s f) g ∧ c₂ = bind s (λ (x : α), bind (f x) g)),
{ intros c₁ c₂ h,
exact match c₁, c₂, h with
| _, _, or.inl (eq.refl c) := by cases destruct c with b cb; simp
| ._, ._, or.inr ⟨s, rfl, rfl⟩ := begin
apply cases_on s; intros s; simp,
{ generalize : f s = fs,
apply cases_on fs; intros t; simp,
{ cases destruct (g t) with b cb; simp } },
{ exact or.inr ⟨s, rfl, rfl⟩ }
end end },
{ exact or.inr ⟨s, rfl, rfl⟩ }
end
theorem results_bind {s : computation α} {f : α → computation β} {a b m n}
(h1 : results s a m) (h2 : results (f a) b n) : results (bind s f) b (n + m) :=
begin
have := h1.mem, revert m,
apply mem_rec_on this _ (λ s IH, _); intros m h1,
{ rw [ret_bind], rw h1.len_unique (results_ret _), exact h2 },
{ rw [think_bind], cases of_results_think h1 with m' h, cases h with h1 e,
rw e, exact results_think (IH h1) }
end
theorem mem_bind {s : computation α} {f : α → computation β} {a b}
(h1 : a ∈ s) (h2 : b ∈ f a) : b ∈ bind s f :=
let ⟨m, h1⟩ := exists_results_of_mem h1,
⟨n, h2⟩ := exists_results_of_mem h2 in (results_bind h1 h2).mem
instance terminates_bind (s : computation α) (f : α → computation β)
[terminates s] [terminates (f (get s))] :
terminates (bind s f) :=
terminates_of_mem (mem_bind (get_mem s) (get_mem (f (get s))))
@[simp] theorem get_bind (s : computation α) (f : α → computation β)
[terminates s] [terminates (f (get s))] :
get (bind s f) = get (f (get s)) :=
get_eq_of_mem _ (mem_bind (get_mem s) (get_mem (f (get s))))
@[simp] theorem length_bind (s : computation α) (f : α → computation β)
[T1 : terminates s] [T2 : terminates (f (get s))] :
length (bind s f) = length (f (get s)) + length s :=
(results_of_terminates _).len_unique $
results_bind (results_of_terminates _) (results_of_terminates _)
theorem of_results_bind {s : computation α} {f : α → computation β} {b k} :
results (bind s f) b k →
∃ a m n, results s a m ∧ results (f a) b n ∧ k = n + m :=
begin
induction k with n IH generalizing s;
apply cases_on s (λ a, _) (λ s', _); intro e,
{ simp [thinkN] at e, refine ⟨a, _, _, results_ret _, e, rfl⟩ },
{ have := congr_arg head (eq_thinkN e), contradiction },
{ simp at e, refine ⟨a, _, n+1, results_ret _, e, rfl⟩ },
{ simp at e, exact let ⟨a, m, n', h1, h2, e'⟩ := IH e in
by rw e'; exact ⟨a, m.succ, n', results_think h1, h2, rfl⟩ }
end
theorem exists_of_mem_bind {s : computation α} {f : α → computation β} {b}
(h : b ∈ bind s f) : ∃ a ∈ s, b ∈ f a :=
let ⟨k, h⟩ := exists_results_of_mem h,
⟨a, m, n, h1, h2, e⟩ := of_results_bind h in ⟨a, h1.mem, h2.mem⟩
theorem bind_promises {s : computation α} {f : α → computation β} {a b}
(h1 : s ~> a) (h2 : f a ~> b) : bind s f ~> b :=
λ b' bB, begin
rcases exists_of_mem_bind bB with ⟨a', a's, ba'⟩,
rw ←h1 a's at ba', exact h2 ba'
end
instance : monad computation :=
{ map := @map,
pure := @return,
bind := @bind }
instance : is_lawful_monad computation :=
{ id_map := @map_id,
bind_pure_comp_eq_map := @bind_ret,
pure_bind := @ret_bind,
bind_assoc := @bind_assoc }
theorem has_map_eq_map {β} (f : α → β) (c : computation α) : f <$> c = map f c := rfl
@[simp] theorem return_def (a) : (_root_.return a : computation α) = return a := rfl
@[simp] theorem map_ret' {α β} : ∀ (f : α → β) (a), f <$> return a = return (f a) := map_ret
@[simp] theorem map_think' {α β} : ∀ (f : α → β) s, f <$> think s = think (f <$> s) := map_think
theorem mem_map (f : α → β) {a} {s : computation α} (m : a ∈ s) : f a ∈ map f s :=
by rw ←bind_ret; apply mem_bind m; apply ret_mem
theorem exists_of_mem_map {f : α → β} {b : β} {s : computation α} (h : b ∈ map f s) :
∃ a, a ∈ s ∧ f a = b :=
by rw ←bind_ret at h; exact
let ⟨a, as, fb⟩ := exists_of_mem_bind h in ⟨a, as, mem_unique (ret_mem _) fb⟩
instance terminates_map (f : α → β) (s : computation α) [terminates s] : terminates (map f s) :=
by rw ←bind_ret; apply_instance
theorem terminates_map_iff (f : α → β) (s : computation α) :
terminates (map f s) ↔ terminates s :=
⟨λ⟨a, h⟩, let ⟨b, h1, _⟩ := exists_of_mem_map h in ⟨_, h1⟩, @computation.terminates_map _ _ _ _⟩
-- Parallel computation
/-- `c₁ <|> c₂` calculates `c₁` and `c₂` simultaneously, returning
the first one that gives a result. -/
def orelse (c₁ c₂ : computation α) : computation α :=
@computation.corec α (computation α × computation α)
(λ⟨c₁, c₂⟩, match destruct c₁ with
| sum.inl a := sum.inl a
| sum.inr c₁' := match destruct c₂ with
| sum.inl a := sum.inl a
| sum.inr c₂' := sum.inr (c₁', c₂')
end
end) (c₁, c₂)
instance : alternative computation :=
{ orelse := @orelse, failure := @empty, ..computation.monad }
@[simp] theorem ret_orelse (a : α) (c₂ : computation α) :
(return a <|> c₂) = return a :=
destruct_eq_ret $ by unfold has_orelse.orelse; simp [orelse]
@[simp] theorem orelse_ret (c₁ : computation α) (a : α) :
(think c₁ <|> return a) = return a :=
destruct_eq_ret $ by unfold has_orelse.orelse; simp [orelse]
@[simp] theorem orelse_think (c₁ c₂ : computation α) :
(think c₁ <|> think c₂) = think (c₁ <|> c₂) :=
destruct_eq_think $ by unfold has_orelse.orelse; simp [orelse]
@[simp] theorem empty_orelse (c) : (empty α <|> c) = c :=
begin
apply eq_of_bisim (λc₁ c₂, (empty α <|> c₂) = c₁) _ rfl,
intros s' s h, rw ←h,
apply cases_on s; intros s; rw think_empty; simp,
rw ←think_empty,
end
@[simp] theorem orelse_empty (c : computation α) : (c <|> empty α) = c :=
begin
apply eq_of_bisim (λc₁ c₂, (c₂ <|> empty α) = c₁) _ rfl,
intros s' s h, rw ←h,
apply cases_on s; intros s; rw think_empty; simp,
rw←think_empty,
end
/-- `c₁ ~ c₂` asserts that `c₁` and `c₂` either both terminate with the same result,
or both loop forever. -/
def equiv (c₁ c₂ : computation α) : Prop := ∀ a, a ∈ c₁ ↔ a ∈ c₂
infix ~ := equiv
@[refl] theorem equiv.refl (s : computation α) : s ~ s := λ_, iff.rfl
@[symm] theorem equiv.symm {s t : computation α} : s ~ t → t ~ s :=
λh a, (h a).symm
@[trans] theorem equiv.trans {s t u : computation α} : s ~ t → t ~ u → s ~ u :=
λh1 h2 a, (h1 a).trans (h2 a)
theorem equiv.equivalence : equivalence (@equiv α) :=
⟨@equiv.refl _, @equiv.symm _, @equiv.trans _⟩
theorem equiv_of_mem {s t : computation α} {a} (h1 : a ∈ s) (h2 : a ∈ t) : s ~ t :=
λa', ⟨λma, by rw mem_unique ma h1; exact h2,
λma, by rw mem_unique ma h2; exact h1⟩
theorem terminates_congr {c₁ c₂ : computation α}
(h : c₁ ~ c₂) : terminates c₁ ↔ terminates c₂ :=
exists_congr h
theorem promises_congr {c₁ c₂ : computation α}
(h : c₁ ~ c₂) (a) : c₁ ~> a ↔ c₂ ~> a :=
forall_congr (λa', imp_congr (h a') iff.rfl)
theorem get_equiv {c₁ c₂ : computation α} (h : c₁ ~ c₂)
[terminates c₁] [terminates c₂] : get c₁ = get c₂ :=
get_eq_of_mem _ $ (h _).2 $ get_mem _
theorem think_equiv (s : computation α) : think s ~ s :=
λ a, ⟨of_think_mem, think_mem⟩
theorem thinkN_equiv (s : computation α) (n) : thinkN s n ~ s :=
λ a, thinkN_mem n
theorem bind_congr {s1 s2 : computation α} {f1 f2 : α → computation β}
(h1 : s1 ~ s2) (h2 : ∀ a, f1 a ~ f2 a) : bind s1 f1 ~ bind s2 f2 :=
λ b, ⟨λh, let ⟨a, ha, hb⟩ := exists_of_mem_bind h in
mem_bind ((h1 a).1 ha) ((h2 a b).1 hb),
λh, let ⟨a, ha, hb⟩ := exists_of_mem_bind h in
mem_bind ((h1 a).2 ha) ((h2 a b).2 hb)⟩
theorem equiv_ret_of_mem {s : computation α} {a} (h : a ∈ s) : s ~ return a :=
equiv_of_mem h (ret_mem _)
/-- `lift_rel R ca cb` is a generalization of `equiv` to relations other than
equality. It asserts that if `ca` terminates with `a`, then `cb` terminates with
some `b` such that `R a b`, and if `cb` terminates with `b` then `ca` terminates
with some `a` such that `R a b`. -/
def lift_rel (R : α → β → Prop) (ca : computation α) (cb : computation β) : Prop :=
(∀ {a}, a ∈ ca → ∃ {b}, b ∈ cb ∧ R a b) ∧
∀ {b}, b ∈ cb → ∃ {a}, a ∈ ca ∧ R a b
theorem lift_rel.swap (R : α → β → Prop) (ca : computation α) (cb : computation β) :
lift_rel (function.swap R) cb ca ↔ lift_rel R ca cb :=
and_comm _ _
theorem lift_eq_iff_equiv (c₁ c₂ : computation α) : lift_rel (=) c₁ c₂ ↔ c₁ ~ c₂ :=
⟨λ⟨h1, h2⟩ a,
⟨λ a1, let ⟨b, b2, ab⟩ := h1 a1 in by rwa ab,
λ a2, let ⟨b, b1, ab⟩ := h2 a2 in by rwa ←ab⟩,
λe, ⟨λ a a1, ⟨a, (e _).1 a1, rfl⟩, λ a a2, ⟨a, (e _).2 a2, rfl⟩⟩⟩
theorem lift_rel.refl (R : α → α → Prop) (H : reflexive R) : reflexive (lift_rel R) :=
λ s, ⟨λ a as, ⟨a, as, H a⟩, λ b bs, ⟨b, bs, H b⟩⟩
theorem lift_rel.symm (R : α → α → Prop) (H : symmetric R) : symmetric (lift_rel R) :=
λ s1 s2 ⟨l, r⟩,
⟨λ a a2, let ⟨b, b1, ab⟩ := r a2 in ⟨b, b1, H ab⟩,
λ a a1, let ⟨b, b2, ab⟩ := l a1 in ⟨b, b2, H ab⟩⟩
theorem lift_rel.trans (R : α → α → Prop) (H : transitive R) : transitive (lift_rel R) :=
λ s1 s2 s3 ⟨l1, r1⟩ ⟨l2, r2⟩,
⟨λ a a1, let ⟨b, b2, ab⟩ := l1 a1, ⟨c, c3, bc⟩ := l2 b2 in ⟨c, c3, H ab bc⟩,
λ c c3, let ⟨b, b2, bc⟩ := r2 c3, ⟨a, a1, ab⟩ := r1 b2 in ⟨a, a1, H ab bc⟩⟩
theorem lift_rel.equiv (R : α → α → Prop) : equivalence R → equivalence (lift_rel R)
| ⟨refl, symm, trans⟩ :=
⟨lift_rel.refl R refl, lift_rel.symm R symm, lift_rel.trans R trans⟩
theorem lift_rel.imp {R S : α → β → Prop} (H : ∀ {a b}, R a b → S a b) (s t) :
lift_rel R s t → lift_rel S s t | ⟨l, r⟩ :=
⟨λ a as, let ⟨b, bt, ab⟩ := l as in ⟨b, bt, H ab⟩,
λ b bt, let ⟨a, as, ab⟩ := r bt in ⟨a, as, H ab⟩⟩
theorem terminates_of_lift_rel {R : α → β → Prop} {s t} :
lift_rel R s t → (terminates s ↔ terminates t) | ⟨l, r⟩ :=
⟨λ ⟨a, as⟩, let ⟨b, bt, ab⟩ := l as in ⟨b, bt⟩,
λ ⟨b, bt⟩, let ⟨a, as, ab⟩ := r bt in ⟨a, as⟩⟩
theorem rel_of_lift_rel {R : α → β → Prop} {ca cb} :
lift_rel R ca cb → ∀ {a b}, a ∈ ca → b ∈ cb → R a b
| ⟨l, r⟩ a b ma mb :=
let ⟨b', mb', ab'⟩ := l ma in by rw mem_unique mb mb'; exact ab'
theorem lift_rel_of_mem {R : α → β → Prop} {a b ca cb}
(ma : a ∈ ca) (mb : b ∈ cb) (ab : R a b) : lift_rel R ca cb :=
⟨λ a' ma', by rw mem_unique ma' ma; exact ⟨b, mb, ab⟩,
λ b' mb', by rw mem_unique mb' mb; exact ⟨a, ma, ab⟩⟩
theorem exists_of_lift_rel_left {R : α → β → Prop} {ca cb}
(H : lift_rel R ca cb) {a} (h : a ∈ ca) : ∃ {b}, b ∈ cb ∧ R a b :=
H.left h
theorem exists_of_lift_rel_right {R : α → β → Prop} {ca cb}
(H : lift_rel R ca cb) {b} (h : b ∈ cb) : ∃ {a}, a ∈ ca ∧ R a b :=
H.right h
theorem lift_rel_def {R : α → β → Prop} {ca cb} : lift_rel R ca cb ↔
(terminates ca ↔ terminates cb) ∧ ∀ {a b}, a ∈ ca → b ∈ cb → R a b :=
⟨λh, ⟨terminates_of_lift_rel h, λ a b ma mb,
let ⟨b', mb', ab⟩ := h.left ma in by rwa mem_unique mb mb'⟩,
λ⟨l, r⟩,
⟨λ a ma, let ⟨b, mb⟩ := l.1 ⟨_, ma⟩ in ⟨b, mb, r ma mb⟩,
λ b mb, let ⟨a, ma⟩ := l.2 ⟨_, mb⟩ in ⟨a, ma, r ma mb⟩⟩⟩
theorem lift_rel_bind {δ} (R : α → β → Prop) (S : γ → δ → Prop)
{s1 : computation α} {s2 : computation β}
{f1 : α → computation γ} {f2 : β → computation δ}
(h1 : lift_rel R s1 s2) (h2 : ∀ {a b}, R a b → lift_rel S (f1 a) (f2 b))
: lift_rel S (bind s1 f1) (bind s2 f2) :=
let ⟨l1, r1⟩ := h1 in
⟨λ c cB,
let ⟨a, a1, c₁⟩ := exists_of_mem_bind cB,
⟨b, b2, ab⟩ := l1 a1,
⟨l2, r2⟩ := h2 ab,
⟨d, d2, cd⟩ := l2 c₁ in
⟨_, mem_bind b2 d2, cd⟩,
λ d dB,
let ⟨b, b1, d1⟩ := exists_of_mem_bind dB,
⟨a, a2, ab⟩ := r1 b1,
⟨l2, r2⟩ := h2 ab,
⟨c, c₂, cd⟩ := r2 d1 in
⟨_, mem_bind a2 c₂, cd⟩⟩
@[simp] theorem lift_rel_return_left (R : α → β → Prop) (a : α) (cb : computation β) :
lift_rel R (return a) cb ↔ ∃ {b}, b ∈ cb ∧ R a b :=
⟨λ⟨l, r⟩, l (ret_mem _),
λ⟨b, mb, ab⟩,
⟨λ a' ma', by rw eq_of_ret_mem ma'; exact ⟨b, mb, ab⟩,
λ b' mb', ⟨_, ret_mem _, by rw mem_unique mb' mb; exact ab⟩⟩⟩
@[simp] theorem lift_rel_return_right (R : α → β → Prop) (ca : computation α) (b : β) :
lift_rel R ca (return b) ↔ ∃ {a}, a ∈ ca ∧ R a b :=
by rw [lift_rel.swap, lift_rel_return_left]
@[simp] theorem lift_rel_return (R : α → β → Prop) (a : α) (b : β) :
lift_rel R (return a) (return b) ↔ R a b :=
by rw [lift_rel_return_left]; exact
⟨λ⟨b', mb', ab'⟩, by rwa eq_of_ret_mem mb' at ab',
λab, ⟨_, ret_mem _, ab⟩⟩
@[simp] theorem lift_rel_think_left (R : α → β → Prop) (ca : computation α) (cb : computation β) :
lift_rel R (think ca) cb ↔ lift_rel R ca cb :=
and_congr (forall_congr $ λb, imp_congr ⟨of_think_mem, think_mem⟩ iff.rfl)
(forall_congr $ λb, imp_congr iff.rfl $
exists_congr $ λ b, and_congr ⟨of_think_mem, think_mem⟩ iff.rfl)
@[simp] theorem lift_rel_think_right (R : α → β → Prop) (ca : computation α) (cb : computation β) :
lift_rel R ca (think cb) ↔ lift_rel R ca cb :=
by rw [←lift_rel.swap R, ←lift_rel.swap R]; apply lift_rel_think_left
theorem lift_rel_mem_cases {R : α → β → Prop} {ca cb}
(Ha : ∀ a ∈ ca, lift_rel R ca cb)
(Hb : ∀ b ∈ cb, lift_rel R ca cb) : lift_rel R ca cb :=
⟨λ a ma, (Ha _ ma).left ma, λ b mb, (Hb _ mb).right mb⟩
theorem lift_rel_congr {R : α → β → Prop} {ca ca' : computation α} {cb cb' : computation β}
(ha : ca ~ ca') (hb : cb ~ cb') : lift_rel R ca cb ↔ lift_rel R ca' cb' :=
and_congr
(forall_congr $ λ a, imp_congr (ha _) $ exists_congr $ λ b, and_congr (hb _) iff.rfl)
(forall_congr $ λ b, imp_congr (hb _) $ exists_congr $ λ a, and_congr (ha _) iff.rfl)
theorem lift_rel_map {δ} (R : α → β → Prop) (S : γ → δ → Prop)
{s1 : computation α} {s2 : computation β}
{f1 : α → γ} {f2 : β → δ}
(h1 : lift_rel R s1 s2) (h2 : ∀ {a b}, R a b → S (f1 a) (f2 b))
: lift_rel S (map f1 s1) (map f2 s2) :=
by rw [←bind_ret, ←bind_ret]; apply lift_rel_bind _ _ h1; simp; exact @h2
theorem map_congr (R : α → α → Prop) (S : β → β → Prop)
{s1 s2 : computation α} {f : α → β}
(h1 : s1 ~ s2) : map f s1 ~ map f s2 :=
by rw [←lift_eq_iff_equiv];
exact lift_rel_map eq _ ((lift_eq_iff_equiv _ _).2 h1) (λ a b, congr_arg _)
def lift_rel_aux (R : α → β → Prop)
(C : computation α → computation β → Prop) :
α ⊕ computation α → β ⊕ computation β → Prop
| (sum.inl a) (sum.inl b) := R a b
| (sum.inl a) (sum.inr cb) := ∃ {b}, b ∈ cb ∧ R a b
| (sum.inr ca) (sum.inl b) := ∃ {a}, a ∈ ca ∧ R a b
| (sum.inr ca) (sum.inr cb) := C ca cb
attribute [simp] lift_rel_aux
@[simp] lemma lift_rel_aux.ret_left (R : α → β → Prop)
(C : computation α → computation β → Prop) (a cb) :
lift_rel_aux R C (sum.inl a) (destruct cb) ↔ ∃ {b}, b ∈ cb ∧ R a b :=
begin
apply cb.cases_on (λ b, _) (λ cb, _),
{ exact ⟨λ h, ⟨_, ret_mem _, h⟩, λ ⟨b', mb, h⟩,
by rw [mem_unique (ret_mem _) mb]; exact h⟩ },
{ rw [destruct_think],
exact ⟨λ ⟨b, h, r⟩, ⟨b, think_mem h, r⟩,
λ ⟨b, h, r⟩, ⟨b, of_think_mem h, r⟩⟩ }
end
theorem lift_rel_aux.swap (R : α → β → Prop) (C) (a b) :
lift_rel_aux (function.swap R) (function.swap C) b a = lift_rel_aux R C a b :=
by cases a with a ca; cases b with b cb; simp only [lift_rel_aux]
@[simp] lemma lift_rel_aux.ret_right (R : α → β → Prop)
(C : computation α → computation β → Prop) (b ca) :
lift_rel_aux R C (destruct ca) (sum.inl b) ↔ ∃ {a}, a ∈ ca ∧ R a b :=
by rw [←lift_rel_aux.swap, lift_rel_aux.ret_left]
theorem lift_rel_rec.lem {R : α → β → Prop} (C : computation α → computation β → Prop)
(H : ∀ {ca cb}, C ca cb → lift_rel_aux R C (destruct ca) (destruct cb))
(ca cb) (Hc : C ca cb) (a) (ha : a ∈ ca) : lift_rel R ca cb :=
begin
revert cb, refine mem_rec_on ha _ (λ ca' IH, _);
intros cb Hc; have h := H Hc,
{ simp at h, simp [h] },
{ have h := H Hc, simp, revert h, apply cb.cases_on (λ b, _) (λ cb', _);
intro h; simp at h; simp [h], exact IH _ h }
end
theorem lift_rel_rec {R : α → β → Prop} (C : computation α → computation β → Prop)
(H : ∀ {ca cb}, C ca cb → lift_rel_aux R C (destruct ca) (destruct cb))
(ca cb) (Hc : C ca cb) : lift_rel R ca cb :=
lift_rel_mem_cases (lift_rel_rec.lem C @H ca cb Hc) (λ b hb,
(lift_rel.swap _ _ _).2 $
lift_rel_rec.lem (function.swap C)
(λ cb ca h, cast (lift_rel_aux.swap _ _ _ _).symm $ H h)
cb ca Hc b hb)
end computation
|
fa51aed761b355426524002a718bea2dd90a481e | 8cd4726d66eec7673bcc0325fed07d5ba5bf17c4 | /hw6-impl-biimpl.lean | bad772df092ee9fddd1c04a96715457a9200be64 | [] | no_license | justinqcai/CS2102 | 8c5fddedffa6147fedd4b6ee7d5d39fc21f0ddab | d309f0db3f1df52eb77206ee1e8665a3b49d7a0c | refs/heads/master | 1,590,108,991,894 | 1,557,610,044,000 | 1,557,610,044,000 | 186,064,169 | 0 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 5,350 | lean | /-
Justin Cai, jc5pz
Read and reread the chapters on implication and
bi-implication. Be sure to understand that a proof
of an implication is a function from proofs of the
premise to proofs of the conclusion, and that you
use such a function by applying it to a proof of a
premise to derive a proof of a conclusion. To build
your understanding, prove each of the following
conjectures using first a tactic script and then
in term-style.
-/
/- 1. -/
example : ∀ (P Q : Prop), P → Q → P ∧ Q :=
begin
assume P Q,
assume PimpQ,
assume Q,
exact and.intro PimpQ Q,
end
example : ∀ (P Q : Prop), P → Q → P ∧ Q :=
assume P Q,
assume PimpQ,
assume Q,
and.intro PimpQ Q
/- 2. -/
example : ∀ (P Q R : Prop), (P ∧ Q) → R → (P ∧ R) :=
begin
assume P Q R,
assume PQimpR,
assume R,
exact and.intro (and.elim_left PQimpR) R,
end
example : ∀ (P Q R : Prop), (P ∧ Q) → R → (P ∧ R) :=
assume P Q R,
assume PQimpR,
assume R,
and.intro (and.elim_left PQimpR) R
/- 3. -/
example : ∀ (P Q R : Prop), (P ∧ Q) → (Q ∧ R) → (P ∧ R) :=
begin
assume P Q R,
assume PQ,
assume QR,
exact and.intro (and.elim_left PQ) (and.elim_right QR),
end
example : ∀ (P Q R : Prop), (P ∧ Q) → (Q ∧ R) → (P ∧ R) :=
assume P Q R,
assume PQ,
assume QR,
and.intro (and.elim_left PQ) (and.elim_right QR)
/- 4. -/
theorem and_comm' :
∀ (P Q : Prop), P ∧ Q ↔ Q ∧ P :=
begin
assume P Q,
apply iff.intro,
assume PQ,
exact and.intro (and.elim_right PQ) (and.elim_left PQ),
assume QP,
exact and.intro (and.elim_right QP) (and.elim_left QP)
end
theorem and_comm'' :
∀ (P Q : Prop), P ∧ Q ↔ Q ∧ P :=
assume P Q,
iff.intro
(assume PQ,
and.intro (and.elim_right PQ) (and.elim_left PQ))
(assume QP,
and.intro (and.elim_right QP) (and.elim_left QP))
/- 5. -/
example : ∀ (P : Prop), P ∧ false → 0 = 1 :=
begin
assume P,
assume Pf,
exact false.elim (and.elim_right Pf)
end
example : ∀ (P : Prop), P ∧ false → 0 = 1 :=
assume P,
assume Pf,
false.elim (and.elim_right Pf)
/- 6. -/
example : ∀ (P : Prop), true ∧ P → P :=
begin
assume P,
assume Pt,
exact and.elim_right Pt
end
example : ∀ (P : Prop), true ∧ P → P :=
assume P,
assume Pt,
and.elim_right Pt
/- 7. Try using the rw tactic. -/
example : ∀ (n m k : ℕ), n = m → m = k → n = k :=
begin
intros n m k,
assume nm mk,
rw nm,
assumption,
end
example : ∀ (n m k : ℕ), n = m → m = k → n = k :=
assume n m k,
assume nm,
assume mk,
eq.trans nm mk
/- 8. -/
example : ∀ (s t : string), s = t ↔ t = s :=
begin
assume s t,
apply iff.intro,
assume st,
rw st,
assume ts,
exact eq.symm ts
end
example : ∀ (s t : string), s = t ↔ t = s :=
assume s t,
iff.intro
(assume st,
eq.symm st)
(assume ts,
eq.symm ts)
/- 9. -/
example :
∀ (T : Type) (t1 t2 : T) (P : T → Prop),
P t1 ∧ t1 = t2 → P t2 :=
begin
assume T,
assume t1 t2,
assume P,
assume Pt1t2,
have Pt1 := and.elim_left Pt1t2,
have t1t2 := and.elim_right Pt1t2,
exact eq.subst t1t2 Pt1
end
example :
∀ (T : Type) (t1 t2 : T) (P : T → Prop),
P t1 ∧ t1 = t2 → P t2 :=
λ T : Type,
λ t1 t2 : T,
λ P : T → Prop,
assume Pt1t2 : P t1 ∧ t1 = t2,
let Pt1 := Pt1t2.left in
let t1t2 := Pt1t2.right in
eq.subst (t1t2) (Pt1)
#reduce let x : ℕ := 5 in let y : ℕ := 6 in x + y
/- 10. -/
theorem and_assoc' :
∀ (P Q R : Prop),
P ∧ Q ∧ R ↔ (P ∧ Q) ∧ R :=
begin
assume P Q R,
apply iff.intro,
assume PQR,
have P := and.elim_left PQR,
have QR := and.elim_right PQR,
have Q := and.elim_left QR,
have R := and.elim_right QR,
exact (and.intro (and.intro P Q) R),
assume PaQR,
have PQ := and.elim_left PaQR,
have R := and.elim_right PaQR,
have P := and.elim_left PQ,
have Q := and.elim_right PQ,
have QR := and.intro Q R,
exact (and.intro P QR)
end
theorem and_assoc'' :
∀ (P Q R : Prop),
P ∧ Q ∧ R ↔ (P ∧ Q) ∧ R :=
assume P Q R,
iff.intro
(assume PQR : P ∧ Q ∧ R,
let P := PQR.1 in
let QR := PQR.2 in
let Q := QR.1 in
let R := QR.2 in
and.intro (and.intro P Q) (R))
(assume PaQR : (P ∧ Q) ∧ R,
let PQ := PaQR.1 in
let R := PaQR.2 in
let P := PQ.1 in
let Q := PQ.2 in
and.intro P (and.intro Q R))
theorem and_assoc''' :
∀ (P Q R : Prop),
P ∧ Q ∧ R ↔ (P ∧ Q) ∧ R :=
begin
assume P Q R,
split,
assume h,
have p := h.left,
have qr := h.right,
have q := h.right.left,
have r := h.right.right,
exact ((p, q), r),
assume PaQR,
have PQ := and.elim_left PaQR,
have R := and.elim_right PaQR,
have P := and.elim_left PQ,
have Q := and.elim_right PQ,
have QR := and.intro Q R,
exact (and.intro P QR)
end |
45fa8a911e6c5a57deec32c88f09a2f8ed45d148 | 8cae430f0a71442d02dbb1cbb14073b31048e4b0 | /src/data/real/enat_ennreal.lean | 109cdc3c26827b73a859ff7b75e55b3c11571b73 | [
"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 | 2,852 | lean | /-
Copyright (c) 2022 Yury Kudryashov. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yury Kudryashov
-/
import data.enat.basic
import data.real.ennreal
/-!
# Coercion from `ℕ∞` to `ℝ≥0∞`
> THIS FILE IS SYNCHRONIZED WITH MATHLIB4.
> Any changes to this file require a corresponding PR to mathlib4.
In this file we define a coercion from `ℕ∞` to `ℝ≥0∞` and prove some basic lemmas about this map.
-/
open_locale classical nnreal ennreal
noncomputable theory
namespace enat
variables {m n : ℕ∞}
instance has_coe_ennreal : has_coe_t ℕ∞ ℝ≥0∞ := ⟨with_top.map coe⟩
@[simp] lemma map_coe_nnreal : with_top.map (coe : ℕ → ℝ≥0) = (coe : ℕ∞ → ℝ≥0∞) := rfl
/-- Coercion `ℕ∞ → ℝ≥0∞` as an `order_embedding`. -/
@[simps { fully_applied := ff }] def to_ennreal_order_embedding : ℕ∞ ↪o ℝ≥0∞ :=
nat.cast_order_embedding.with_top_map
/-- Coercion `ℕ∞ → ℝ≥0∞` as a ring homomorphism. -/
@[simps { fully_applied := ff }] def to_ennreal_ring_hom : ℕ∞ →+* ℝ≥0∞ :=
(nat.cast_ring_hom ℝ≥0).with_top_map nat.cast_injective
@[simp, norm_cast] lemma coe_ennreal_top : ((⊤ : ℕ∞) : ℝ≥0∞) = ⊤ := rfl
@[simp, norm_cast] lemma coe_ennreal_coe (n : ℕ) : ((n : ℕ∞) : ℝ≥0∞) = n := rfl
@[simp, norm_cast] lemma coe_ennreal_le : (m : ℝ≥0∞) ≤ n ↔ m ≤ n :=
to_ennreal_order_embedding.le_iff_le
@[simp, norm_cast] lemma coe_ennreal_lt : (m : ℝ≥0∞) < n ↔ m < n :=
to_ennreal_order_embedding.lt_iff_lt
@[mono] lemma coe_ennreal_mono : monotone (coe : ℕ∞ → ℝ≥0∞) := to_ennreal_order_embedding.monotone
@[mono] lemma coe_ennreal_strict_mono : strict_mono (coe : ℕ∞ → ℝ≥0∞) :=
to_ennreal_order_embedding.strict_mono
@[simp, norm_cast] lemma coe_ennreal_zero : ((0 : ℕ∞) : ℝ≥0∞) = 0 := map_zero to_ennreal_ring_hom
@[simp] lemma coe_ennreal_add (m n : ℕ∞) : ↑(m + n) = (m + n : ℝ≥0∞) :=
map_add to_ennreal_ring_hom m n
@[simp] lemma coe_ennreal_one : ((1 : ℕ∞) : ℝ≥0∞) = 1 := map_one to_ennreal_ring_hom
@[simp] lemma coe_ennreal_bit0 (n : ℕ∞) : ↑(bit0 n) = bit0 (n : ℝ≥0∞) := coe_ennreal_add n n
@[simp] lemma coe_ennreal_bit1 (n : ℕ∞) : ↑(bit1 n) = bit1 (n : ℝ≥0∞) :=
map_bit1 to_ennreal_ring_hom n
@[simp] lemma coe_ennreal_mul (m n : ℕ∞) : ↑(m * n) = (m * n : ℝ≥0∞) :=
map_mul to_ennreal_ring_hom m n
@[simp] lemma coe_ennreal_min (m n : ℕ∞) : ↑(min m n) = (min m n : ℝ≥0∞) := coe_ennreal_mono.map_min
@[simp] lemma coe_ennreal_max (m n : ℕ∞) : ↑(max m n) = (max m n : ℝ≥0∞) := coe_ennreal_mono.map_max
@[simp] lemma coe_ennreal_sub (m n : ℕ∞) : ↑(m - n) = (m - n : ℝ≥0∞) :=
with_top.map_sub nat.cast_tsub nat.cast_zero m n
end enat
|
15ae4abee8ac9cc0504cd20e02b22cdf222b94af | 685ab3d59bec28c631aabbe80a39f70fb639d38b | /Gröbner.lean | b6ca68489c1fd08095825dcaf36df2dab4019467 | [] | no_license | 0function/storage | 7ffad46d00dda4c190f1a48ae6b1c23012ef8603 | 1a28fa3019003170c509b0c2badb85bd25319cd5 | refs/heads/master | 1,594,195,514,972 | 1,572,596,352,000 | 1,572,596,352,000 | 203,612,497 | 0 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 28,782 | lean | import group_theory.coset ring_theory.ideals algebra.gcd_domain algebra.euclidean_domain data.int.modeq group_theory.quotient_group data.equiv.algebra group_theory.subgroup tactic.ring tactic.fin_cases tactic.tidy algebra.ring algebra.field linear_algebra.multivariate_polynomial
open tactic prod native environment interactive lean.parser ideal classical lattice declaration rbtree
infixl ` ⬝ ` := has_mul.mul
notation x`²`:99 := x⬝x
notation ` ` binders ` ↦ ` f:(scoped f, f) := f
notation `⟮` binders ` ↦ ` f:(scoped f, f) `⟯`:= f
def flip_over_2{A B C D}(f: A→B→C→D) := z x y ↦ f x y z
infixl ` @₁`:99 := flip
infixl ` @₂`:99 := flip_over_2
infixr ` ∘₂ `:80 := (∘)∘(∘)
instance decidable_bool{b:bool}: decidable b := by{cases b, apply is_false, simp, apply is_true, simp}
instance{X}: monoid(list X) := {
one := [],
mul := (++),
one_mul := by safe,
mul_one := list.append_nil,
mul_assoc := list.append_assoc,
}
instance endomonoid{t}: monoid(t → t) := {
one := id,
mul := (∘),
mul_assoc := function.comp.assoc,
one_mul := function.comp.left_id,
mul_one := function.comp.right_id,
}
--option.cases_on has typing problems.
def option.maybe{A B}(no: B)(yes: A→B): option A → B
| none := no
| (some a) := yes a
def ifoldl_help{S T}(f: ℕ→S→T→T): ℕ → list S → T → T
| i [] r := r
| i (x::s) r := ifoldl_help (i+1) s (f i x r)
def list.ifoldl{S T}(f: ℕ→S→T→T) := ifoldl_help f 0
def list.imap{S T}(f: ℕ→S→T)(s: list S) := (s.ifoldl(list.cons ∘₂ f) []).reverse
universe U
def list.mfilter_map{A B : Type U}{M}[monad M](f: A → M(option B)): list A → M(list B)
| [] := pure[]
| (a::s) := do
fa ← f a,
s' ← s.mfilter_map,
pure(fa.maybe s' ⟮b ↦ b::s'⟯)
@[simp] def map₂_default{X Z}(d)(f: X → X → Z): list X → list X → list Z
| [] [] := []
--| s l := f ((s.nth 0).get_or_else d) ((l.nth 0).get_or_else d) :: map₂_default s.tail l.tail
| [] (y::ys) := f d y :: map₂_default [] ys
| (x::xs) [] := f x d :: map₂_default xs []
| (x::xs) (y::ys) := f x y :: map₂_default xs ys
def trim_tail{X}[decidable_eq X](x)(s: list X) := (s.reverse.drop_while(=x)).reverse
--unique_pairs[xⱼ | j] = [(xᵢ,xⱼ) | i<j]
def list.unique_pairs{T}: list T → list(T×T)
| [] := []
| (x::xs) := xs.map⟮y↦ (x,y)⟯ ++ xs.unique_pairs
@[priority 0]instance to_string_of_repr{X}[has_repr X]: has_to_string X := ⟨repr⟩
@[priority 0]meta instance format_of_repr{X}[has_repr X]: has_to_tactic_format X := ⟨has_to_tactic_format.to_tactic_format ∘ repr⟩
/--
`nat.mk_numeral n` embeds `n` as a numeral expression inside a type with 0, 1, and +.
`type`: an expression representing the target type
`has_zero`, `has_one`, `has_add`: expressions of the type `has_zero %%type`, etc.
-/
meta def nat.mk_numeral (type has_zero has_one has_add : expr) : ℕ → expr :=
let z : expr := `(@has_zero.zero.{0} %%type %%has_zero),
o : expr := `(@has_one.one.{0} %%type %%has_one) in
nat.binary_rec z
(λ b n e, if n = 0 then o else
if b then `(@bit1.{0} %%type %%has_one %%has_add %%e)
else `(@bit0.{0} %%type %%has_add %%e))
meta def int.mk_numeral (type has_zero has_one has_add has_neg : expr) : ℤ → expr
| (int.of_nat n) := n.mk_numeral type has_zero has_one has_add
| -[1+n] := let ne := (n+1).mk_numeral type has_zero has_one has_add in
`(@has_neg.neg.{0} %%type %%has_neg %%ne)
meta def rat.mk_numeral (type has_zero has_one has_add has_neg has_div : expr) : ℚ → expr
| ⟨num, denom, _, _⟩ :=
let nume := num.mk_numeral type has_zero has_one has_add has_neg in
if denom = 1 then nume else
let dene := denom.mk_numeral type has_zero has_one has_add in
`(@has_div.div.{0} %%type %%has_div %%nume %%dene)
meta def rat.reflect : ℚ → expr :=
rat.mk_numeral `(ℚ) `((infer_instance : has_zero ℚ))
`((infer_instance : has_one ℚ))`((infer_instance : has_add ℚ))
`((infer_instance : has_neg ℚ)) `(infer_instance : has_div ℚ)
section
local attribute [semireducible] reflected
meta instance ℚ_has_reflect: has_reflect ℚ := rat.reflect
end
-- infixr ` ∷ `:67 := (++)∘repr
-- --set_option pp.all true
-- def replace_1_: list char → string
-- --| ('+'::' '::'-'::s) := "- "++ replace_minus s
-- | [] := ""
-- | (a::s) := match if a≠' ' then none else match s with
-- | [] := none
-- | (b::s) := if b≠'1' then none else match s with
-- | [] := none
-- | (c::s) := if c≠' ' then none else
-- have hint: s.sizeof < a.val+(1+s.sizeof), from by{simp[has_lt.lt,nat.lt], rw(_:nat.succ _=0+_), rw(_:1+_=nat.succ _), apply nat.add_le_add_right, tidy, rw nat.add_comm},
-- some(' '∷ replace_1_ s)
-- end end with
-- | none := a ∷ replace_1_ s
-- | some s := s
--–Monomials are now represented by lists, which are thought to be zero extended. Trailing zeros are normalized away.
def monomial := list ℕ
namespace monomial
def deg(m: monomial) := list.sum m
def variable_name: ℕ → string
| 0 := "x" | 1 := "y" | 2 := "z"
| n := (char.of_nat(121-n)).to_string
def rise_digit(n: char) := ("⁰¹²³⁴⁵⁶⁷⁸⁹".to_list.nth n.to_string.to_nat).get_or_else '?'
def rise_number(n: string) := (n.to_list.map rise_digit).as_string
instance monomial.has_repr: has_repr monomial := ⟨ m ↦ m.ifoldl⟮j e ↦ ite(e=0) id (++ variable_name j ++ ite(e=1) "" (rise_number(repr e)))⟯ "" ⟩
instance: has_one monomial := ⟨[]⟩
instance: has_mul monomial := ⟨map₂_default 0 (+)⟩ --no need to trim
instance: has_div monomial := ⟨trim_tail 0 ∘₂ map₂_default 0 ⟮x y ↦ x-y⟯⟩
def gcd(n m : monomial): monomial := trim_tail 0 (list.map₂ min n m) --no need to extend
def lcm(n m : monomial): monomial := map₂_default 0 max n m --no need to trim
def dvd': monomial → monomial → bool
| [] _ := tt
| (n::ns) m := n ≤ (m.nth 0).get_or_else 0 ∧ dvd' ns m.tail
def dvd := n m ↦ (dvd' n m : Prop)
instance: has_dvd monomial := ⟨dvd⟩
instance: decidable_rel dvd := by unfold dvd; apply_instance
--–Orders should be admissible (unit least and multiplication monotonous).
class order :=
(lt: monomial → monomial → Prop)
(decidable: decidable_rel lt)
def lex: order := {
lt := list.lex(<),
decidable := infer_instance,
}
def deg_lex: order := {
lt := n m ↦ deg n < deg m ∨ (deg n = deg m ∧ list.lex(<) n m),
decidable := _ _↦ by apply or.decidable,
}
end monomial
@[reducible] private def mo := monomial.order
--–Polynomials (this ended up essentially reimplementing very basics of rbmap equivalently, because I didn't find rbmap early enough)
--Reverse order to have the leading term first.
def poly.less[mo]{K}(x y : K×monomial) := monomial.order.lt y.snd x.snd
def poly[mo](K)[ring K] := rbtree (K×monomial) poly.less
namespace poly
--K ∈ Type 0 because otherwise combination with tactics gets problematic.
variables{K: Type}[ring K][decidable_eq K][o:mo](P R : poly K)
instance[mo]: has_lt monomial := ⟨monomial.order.lt⟩
instance[mo]: has_le monomial := ⟨ n m ↦ ¬n>m ⟩
instance decidable_lt[mo]: @decidable_rel monomial (<) := monomial.order.decidable
instance decidable_le[mo]: @decidable_rel monomial (≤) := by apply_instance
instance decidable_less: decidable_rel(@less o K) := _ _↦ by unfold less; apply_instance
def coef(m) := ((P.find(0,m)).get_or_else(0,m)).fst
--Value 0 should not be inserted, but rbtree lacks removal rutines. Since full simplification will rebuild a polynomial from scratch, extra zeros should not add up too badly.
def update(m)(f: K→K): poly K := let k := f(coef P m) in P.insert(k,m)
def monom[mo](m): poly K := rbtree_of[m]less
instance[mo]: has_coe monomial (poly K) := ⟨ m↦ monom(1,m) ⟩
--Let f' = (f; 0↦id). Then combine@₂f maps Σ pⱼ⬝mⱼ and Σ rⱼ⬝mⱼ to Σ f' pⱼ rⱼ ⬝ mⱼ (...assuming unsoundly that there's no explicit 0 coefficients...exact behavior depends on what the representation happens to be).
def combine(f: K→K→K): poly K := P.fold⟮p R' ↦ update R' p.snd (f p.fst)⟯ R
def map_poly(f: K→K): poly K := combine P P _↦f
instance[mo]: has_zero(poly K) := ⟨rbtree_of[]less⟩
instance[mo]: has_one(poly K) := ⟨monom(1,1)⟩
instance[mo]: has_add(poly K) := ⟨combine @₂(+)⟩
instance[mo]: has_neg(poly K) := ⟨map_poly @₁ k↦-k⟩
instance[mo]: has_sub(poly K) := ⟨ P R ↦ P + -R ⟩
instance[mo]: has_mul(poly K) := ⟨ P↦ fold⟮m↦ P.fold⟮n↦ (+monom(m⬝n))⟯⟯ @₁0 ⟩
instance[mo]: has_scalar K (poly K) := ⟨ k↦ map_poly @₁(⬝k) ⟩
instance[mo]: has_pow(poly K) ℕ := ⟨ P n ↦ (list.repeat P n).foldl(⬝)1 ⟩
instance[mo][has_repr K]: has_repr(poly K) := ⟨ P↦ match P.to_list.filter⟮p:K×_ ↦ p.fst ≠ 0⟯ with
| [] := "0"
| (m::ms) := ms.foldl⟮s p ↦ s ++" + "++ repr p.fst ++" "++ repr p.snd⟯ (repr m.fst ++" "++ repr m.snd)
end⟩
def lead_term := (P.fold⟮p:K×_ ↦ option.maybe (if p.fst = 0 then none else some p) some⟯ none).maybe (0,1) id
def lead_coef := P.lead_term.fst
def lead_mono := P.lead_term.snd
def is0 := lead_coef P = 0
instance decidable_is0: decidable P.is0 := by unfold is0; apply_instance
def is_const := lead_mono P = 1
instance decidable_is_const: decidable P.is_const := by unfold is_const; apply_instance
--This is ridiculous!
instance rbnode_eq{X}[eqX: decidable_eq X]: decidable_eq(rbnode X)
| rbnode.leaf rbnode.leaf := is_true rfl
| (rbnode.red_node l1 v1 r1) (rbnode.red_node l2 v2 r2) :=
match eqX v1 v2 with
| is_false v := is_false(by{by_contra a, injection a, contradiction})
| is_true v :=
match rbnode_eq l1 l2 with
| is_false l := is_false(by{by_contra a, injection a, contradiction})
| is_true l :=
match rbnode_eq r1 r2 with
| is_false r := is_false(by{by_contra a, injection a, contradiction})
| is_true r := is_true(by rw[l,v,r])
end
end
end
| (rbnode.black_node l1 v1 r1) (rbnode.black_node l2 v2 r2) :=
match eqX v1 v2 with
| is_false v := is_false(by{by_contra a, injection a, contradiction})
| is_true v :=
match rbnode_eq l1 l2 with
| is_false l := is_false(by{by_contra a, injection a, contradiction})
| is_true l :=
match rbnode_eq r1 r2 with
| is_false r := is_false(by{by_contra a, injection a, contradiction})
| is_true r := is_true(by rw[l,v,r])
end
end
end
| rbnode.leaf (rbnode.red_node l1 v1 r1) := is_false(by by_contra; injection a)
| rbnode.leaf (rbnode.black_node l1 v1 r1) := is_false(by by_contra; injection a)
| (rbnode.red_node l1 v1 r1) rbnode.leaf := is_false(by by_contra; injection a)
| (rbnode.red_node l1 v1 r1) (rbnode.black_node l2 v2 r2) := is_false(by by_contra; injection a)
| (rbnode.black_node l1 v1 r1) rbnode.leaf := is_false(by by_contra; injection a)
| (rbnode.black_node l1 v1 r1) (rbnode.red_node l2 v2 r2) := is_false(by by_contra; injection a)
instance[mo]: decidable_eq(poly K) := by apply_instance
instance[mo]: inhabited(poly K) := ⟨0⟩
variable [has_repr K]
def see{X Y}[has_repr X][has_repr Y](m:Y)(x:X) := _root_.trace (repr m ++ repr x) x
private def proof[mo](K)[ring K] := list(poly K)
def poly_mem[mo](K)[ring K] := poly K × proof K
def polys[mo](K)[ring K] := list(poly_mem K)
instance hrp[mo]: has_repr(proof K) := by unfold proof; apply_instance--TODO remove after debug
def poly_mem.is0[mo](P: poly_mem K) := is0 P.fst
instance[mo](P: poly_mem K): decidable P.is0 := by unfold poly_mem.is0; apply_instance
instance evvk[mo]: inhabited(poly_mem K) := ⟨(0,[])⟩
--Construct trivial proof by cloning a proof from non-empty list.
def proof_triv[mo](B: polys K. assumption): proof K := B.head.snd.map⟮_↦0⟯
def is_triv[mo]: proof K → bool
| [] := tt
| (p::ps) := is0 p ∧ is_triv ps
def proof_add[mo](p₁ p₂ : proof K)(f: poly K → poly K) := p₁.map₂(+) (p₂.map f)
--Compute the S-polynomial of monic polynomials with membership proof.
def monicS[mo]: poly_mem K → poly_mem K → poly_mem K | (P,pP) (R,pR) :=
let p:= lead_mono P, r:= lead_mono R, m:= p.lcm r, mp:= monom((1:K), m/p), mr:= monom((1:K), m/r)
in (P⬝mp - R⬝mr, proof_add (pP.map(⬝mp)) pR(⬝(-mr)))
--Accumulates proof to show that if P→R then R - P ∈ ⟨B⟩.
meta def simplify_leading_loop[mo](B: polys K): poly_mem K → poly_mem K |(P, proof) :=
let p := P.lead_mono in match B.filter((∣p)∘lead_mono∘fst) with
| [] := (P, proof)
| (b,prf)::_ := let c := -monom(lead_coef P, p / lead_mono b) in simplify_leading_loop(P + b⬝c, proof_add proof prf(⬝c))
end
--B must be a non-empty list of monic (and ≠0) polynomials.
meta def simplify_leading[mo](B: polys K)(P: poly_mem K): poly_mem K :=
match B.filter(is_const ∘ fst) with
| (_,prf)::_ := (0, proof_add P.snd prf(⬝(-P.fst)))
| _ := simplify_leading_loop B P
end
meta def simplify_loop[mo](B): poly K → poly_mem K → poly_mem K | R P :=
if P.is0 then (R, P.snd) else let (P,prf) := simplify_leading B P, p := monom P.lead_term in simplify_loop (R+p) (P-p, prf)
--Return fully simplified R←P and proof that R - P ∈ ⟨B⟩. Input P comes without membership proof, because simplification should be applicable to arbitrary polynomials.
meta def simplify[mo](B: polys K)(P) := simplify_loop B 0 (P, proof_triv)
variable[field K]
--scale_monic 0 := 0
def scale_monic[mo]: poly_mem K → poly_mem K | (P,prf) := let c := P.lead_coef ⁻¹ in (c•P, prf.map((•)c))
meta def simplify_basis_loop[mo](simp: polys K → poly_mem K → poly_mem K): ℕ → polys K → polys K
| 0 B := B
| l [] := sorry -- l ≤ B.length
| l (P::B) := let
P' := simp B P,
B' := ite P'.is0 B (B++[scale_monic P'])
in simplify_basis_loop(if is_triv(P.snd.map₂⟮x y ↦ x-y⟯ P'.snd) then l-1 else B'.length) B'
--For each element of B, if S simplifies the leading term, then simplify additionally with other elements of the basis.
meta def simplify_basis_by[mo](S: poly_mem K)(B: polys K) := simplify_basis_loop⟮B P ↦ let P' := simplify_leading [S] P in if is_triv P'.snd then P else simplify_leading B P'⟯ B.length B
--Interreduce B.
meta def simplify_basis[mo](B: polys K) := simplify_basis_loop(simplify_loop @₁0) B.length B
--main loop
private meta def go[mo]: polys K → list(poly_mem K × poly_mem K) → polys K
| G [] := G
| G ((p₁,p₂)::ps) := let S := scale_monic(simplify_leading G (monicS p₁ p₂))
in if S.is0 then go G ps else let G := simplify_basis_by S G in go (S::G) (ps ++ G.map⟮P↦ (P,S)⟯)
meta def «Gröbner basis of»[mo](B: list(poly K)) := let B := B.filter(not∘is0), B1 := B.imap⟮i b ↦ scale_monic(b, (B.map⟮_↦(0: poly K)⟯).update_nth i 1)⟯ in simplify_basis(go B1 B1.unique_pairs)
notation `Gröbner_basis_of` := «Gröbner basis of»
--Lean's letter recognition is broken! It is not just an implementation mistake, but it is even specified in an adhoc way – see https://leanprover.github.io/reference/lexical_structure.html#identifiers – which is incompatible with Unicode. Not only a huge number of letters is ignored but also some non-letters included (though correctly called just letterlike):
def ℡⅋℀ := "Telephone sign ǝʇ “account” are letters only in Lean!"
--Inclusion of non-letters means that Lean can't be said to support a subset of Unicode. FYI: Unicode is about semantics of code points (numbers). UTF-8 is a character encoding (mapping between bytes and numbers) that Lean does use. Observations here hold at the time of writing and hopefully not in the future.
--Tästä voisi johtaa tyyliin ringa-taktiikan. Sievennetään kaikkia ... hmm, miten sievennyskelpoiset lausekkeet määrätään? Kertoimien tulee olla kunnasta, mutta muuttujia saa käsitellä vain rengasoperaatioilla. Teoreettisesti nättiä olisi yleistää hieman ja ratkaista renkaiden ehdolliset sanaongelmat, mutta sehän edellyttäisi paljon lisää koodausta!
--Sitten pitää ratkaista, miten termien triviaali sievennys kuten x+y-x=y hoidetaan. Koska tulos tiedetään aina, voidaan turvallisesti turvautua ring-taktiikkaan.
--Luetaan tavoitetta kunnes vastaan tulee +,⬝,- (tärkeää on, että löydetään maksimaalinen termi sievennettäväksi—tämän pitäisi riittää siihen, koska tietenkään päälioperaatio ei tällöin voi olla jokin sellainen, jota ei osata käsitellä). Huom. - voi esiintyä sekä unaarisena että binäärisenä. Seuraavaksi tarkistetaan, että alitermi on kuntatyyppiä...mutta tämä rajoittaa käytettävyyttä melko merkittävästi. Teoriassa voisi vaatia, että tyyppi on vaihdannainen rengas ja K-moduli jonkin kunnan K suhteen, ja K:lta vaaditaan lisäksi päätettävä yhtyvyys. Jotta tästä teoriasta tulee käytäntöä, lienee vaadittava, että käyttäjä syöttää kunnan (ℚ voi olla oletusarvo).
meta def 𝔼(pre) := to_expr pre tt ff
--meta def childs(e: expr) := (e.mfoldl⟮c s ↦ [list.cons s c]⟯ []).head
meta def childs: expr → list expr
| (expr.app f p) := [f,p]
| (expr.pi _ _ S T) := [S,T]
| (expr.elet _ t v b) := [t,v,b] --Does this work with infer_type?
| (expr.macro _ cs) := cs
| _ := []
notation `~`x := pure x
notation `ᵘᵖ ` m := monad_lift m
@[reducible] meta def ST := state_t (list expr) tactic
--Run reaction if state is not [].
meta def if_not_found(reaction: ST unit): ST unit := do s ← state_t.get, when(s=[]) reaction
meta def fbs_loop{T}(t)(test: (expr → ST T) → expr → ST T)(atoms: rb_set expr): bool → expr → ST unit | layer's_top e :=
when(¬ atoms.contains e) (test⟮x ↦ t<$
if x≠e then fbs_loop ff x
else (childs x).mmap'(if_not_found ∘ fbs_loop tt)
⟯ e >> if_not_found(when layer's_top (test⟮e' ↦ when(e≠e') (state_t.put[e]) $>t⟯ e $>())))
--Finds some minimal subterm accepted by test while treating terms in the set atoms as such. Parameter t is just an inhabitance proof.
meta def find_bottom_simplifiable{T}(t:T)(test)(atoms): expr → tactic(option expr)
| e := prod.fst <$> (do
fbs_loop t test atoms tt e,
g ← state_t.get,
~ g.nth 0
).run[]
meta def prepare_loop{T}(var: ℕ→T)(test: (expr → ST T) → expr → ST T): expr → ST T | e :=
test⟮x ↦ if x≠e then prepare_loop x else do
vs ← state_t.get,
let i := vs.index_of x,
when(i = vs.length) (state_t.put(vs++[x])) $> var i
⟯e
--Transform (top layer of) e to its T-representation according to test, with alien subterms replaced by variables generated from var with syntactic equality preserved. Second component of the return value is list of the replaced alien terms.
meta def prepare{T}(var: ℕ→T)(test)(e) := (prepare_loop var test e).run[]
--Like mapping the above, but naming of the alien terms is consistent.
meta def prepares{T}(var: ℕ → T)(test)(es: list expr) := (es.mmap(prepare_loop var test)).run[]
meta def simplify_by_loop{T}(var: ℕ→T)(test: (expr → ST T) → expr → ST T)(simp: expr → T → tactic expr): rb_set expr → tactic unit | simplified := do
e ← target,
x ← find_bottom_simplifiable (var 0) test simplified e,
x.maybe(~())⟮x ↦ do
(x',g) ← prepare var test x,
proof ← simp x x',
rewrite_target proof,
`(%%_ = %%s) ← infer_type proof,
simplify_by_loop(simplified.insert s)⟯
--Warning: in practise this interface turned out to behave ugly! This is a simplifier skeleton whose advantage over simp is that pattern matching and rule selection can be done programmatically. (For example simp could often do nothing with a Gröbner basis represented as simplifying equations, because non-syntactic pattern matching is needed to use them.) This functions like simp only [...]. The actual (single step) simplifier is given as a parameter. Its operation is extended by searching the proof target for simplifiable terms and calling the simplifier for all of these bottom up.
--Parameters
--T: an auxiliarity term representation that the simplifier may choose as it likes.
--var: a stream of distinct variables.
--test recursor ∈ expr → a_monad T : transforms a top operation of an input term into T-representation calling recursor for the childs, or for the whole term if it is alien. See test_poly for an example.
--simp: from original expression E and its T-representation produce a proof that E = simplified E. Failed: Variable var i should be represented by a metavariable whose name ends with mk_numeral i, (or var 0, ..., var n may be represented by quantifying ∀x₀...∀xₙ ???).
meta def simplify_by{T}(var: ℕ→T)(test)(simp) := simplify_by_loop var test simp mk_rb_set
--Notes: Examining term structure and mapping it to T was combined into test. Original term is given to simp, because T-representation may be lossy. However if orig. rep. is needed (Gröbner bases avoid it by using ring), examination of it usually repeats. It even turned out that due to consistent alien term naming the second parameter of simp is practically useless. Currently test can work in ST, though safer would be to require polymorphicity over monad transformer on top of tactic. The tedious part (in addition to the core simplification in T) is producing the proof term in simp. Could this be simplified in a suitable monad?
meta def test_instance(i) := (𝔼 i >>= mk_instance) $> tt <|> ~ff
meta def test_poly[mo][reflected K](r: expr → ST(poly K))(e: expr): ST(poly K) := match e with
| `(%%x ⬝ %%y) := (⬝) <$> r x <*> r y
| `(%%x + %%y) := (+) <$> r x <*> r y
| `(%%x - %%y) := ⟮x y ↦ x-y⟯ <$> r x <*> r y
| `(- %%x) := ⟮x ↦ -x⟯ <$> r x
| `(%%x ^ %%n) := do
N ←ᵘᵖ infer_type n,
if N ≠ `(ℕ) ∨ n.has_var ∨ n.has_local then r e
else do n ←ᵘᵖ eval_expr ℕ n, (^n) <$> r x
| e := do
E ←ᵘᵖ infer_type e,
if E ≠ reflect K ∨ e.has_var ∨ e.has_local then r e
else do k ←ᵘᵖ eval_expr K e, ~monom(k,[])
end
meta def test_poly_typed[mo][reflected K](M: option expr)(r: expr → ST(poly K))(e): ST(poly K) := do
E ←ᵘᵖ infer_type e,
ok ← match M with some M := ~(E=M : bool)
| _ :=ᵘᵖ band <$> test_instance``(ring %%E) <*> test_instance``(module %%(reflect K) %%E) end,
(ite ok test_poly id) r e
--X' i is the iᵗʰ variable "Xᵢ".
def X'[mo](i:ℕ): poly K := monom(1, ((list.cons 0)^i) [1])
meta def represent_mono[mo](r: has_reflect K)(M:expr)(vs: list expr)(m: monomial): tactic expr :=
m.ifoldl ⟮x p e ↦ if p=0 then e else do e←e, 𝔼``(%%e ⬝ %%(vs.nth x).iget ^ %%(reflect p))⟯ (𝔼``(1:%%M))
meta def represent_poly[mo][r: has_reflect K](M:expr)(vs: list expr)(P: poly K): tactic expr :=
P.fold ⟮m e ↦ let c:= m.fst in if c=0 then e else do e←e, mono ← represent_mono r M vs m.snd, 𝔼``(%%e + %%(reflect c)⬝%%mono)⟯ (𝔼``(0:%%M))
--TODO Use module product • to multiply mono by c. Problem is that then ring doesn't work!
meta def local_equations_of_type(M) := do
ls ← local_context,
ls.mfilter⟮a ↦ do b ← infer_type a, match b with `(%%x = %%y) := do Y ← infer_type y, ~Y=M | _:=~ff end⟯
--Return a proof of goal found by the given tactic solve.
meta def prove_by(solve: tactic unit)(goal: tactic expr) := do
n ← get_unused_name,
goal >>= assert n,
solve,
proof ← get_local n,
--clear proof, --TODO How to clean the local context while keeping proof usable?
~proof
namespace proof_building_blocks
lemma mul_sub_is_0{M}[ring M][module K M]{x y O : M}(c: M)(o0: O=0)(h: x=y): O - c⬝(x-y) = 0 := by simp[*]
lemma combines{M}[add_comm_group M][module K M]{P R O : M}(pr: P-R = O)(o0: O = 0): P = R := by rw(by simp : P = P-R + R);simp[*]
end proof_building_blocks
open proof_building_blocks
--Compute a Gröbner basis from polynomial equations E and return a reducer suitable for simplify_by that uses the computed basis.
meta def verifying_reducer[mo][reflected K][r: has_reflect K](M)(E: list expr): tactic(expr → poly K → tactic expr) := do
let test: (expr → ST(poly K)) → _ := test_poly_typed(option.some M),
be ← E.mmap⟮p ↦ do e ← infer_type p, match e with `(%%x = %%y) := 𝔼``(%%x - %%y) | _:=sorry end⟯,
((B: list(poly K)), vs) ← prepares X' test be,
let G := Gröbner_basis_of B,
~ pe _ ↦ do
--TODO There should be nicer way to keep track of alien subterms. Either variables in polynomials should have arbitrary names (ideal solution) or everything should work inside ST.
(P, vs) ← (prepare_loop X' test pe).run vs,
let (R, coef) := simplify G P,
--R = P + coef•(fⱼ - gⱼ)ⱼ
--P - R =ʳⁱⁿᵍ= -coef•(fⱼ - gⱼ)ⱼ = “coef•0” = 0 ⟹ P=R
re ← represent_poly M vs R,
ce ← coef.mmap(represent_poly M vs),
K0is0 ← 𝔼``(rfl : (0:%%(reflect K)) = 0),
step2 ← (ce.zip E).mfoldl ⟮prf cb ↦ 𝔼``(@mul_sub_is_0
%%(reflect K) infer_instance infer_instance infer_instance infer_instance
%%M infer_instance infer_instance
_ _ _ %%cb.fst %%prf %%cb.snd)⟯ K0is0,
`(%%ce_be = %%_) ← infer_type step2,
ring_step ← prove_by`[{ring}] (𝔼``(%%pe - %%re = %%ce_be)),
𝔼``(@combines
%%(reflect K) infer_instance infer_instance infer_instance infer_instance
%%M infer_instance infer_instance
_ _ _ %%ring_step %%step2)
meta def exactℚ := `[exact ℚ]
meta def ringa(K:Type. exactℚ)[reflected K][has_reflect K][field K][decidable_eq K][has_repr K/-debug-/][mo]: tactic unit := do
t ← target,
--"find_top_simplifiable" would be more expected behavior...if it existed
e ← find_bottom_simplifiable (0: poly K) (test_poly_typed none) mk_rb_set t,
if e=none then fail"nothing to simplify in target" else do
M ← infer_type e.iget,
B ← local_equations_of_type M,
if B=[] then `[ring] else do --Do not fail to preserve composability.
reducer ← verifying_reducer M B,
simplify_by (X': ℕ → poly K) (test_poly_typed(some M)) reducer,
`[try{ring}]
#check Gröbner_basis_of
--Test cases
instance use_this_order := monomial.deg_lex
variables{v x y z : ℚ}{f: ℚ→ℚ}
--These delegate to ring tactic
example: (x+y)⬝(x-y) = x² - y² := by ringa
example: f(2⬝x) = f(x+x) := by ringa
--These don't
example(_:v=z): (x+y)⬝(x-y) = x² - y² := by ringa
example(_:v=z): f(2⬝x) = f(x+x) := by ringa
--Core functionality tests
example(_: x+y = z)(_: x² + y² = z²): x⬝y = 0 := by ringa
example(_: x⬝y² = x+y)(_: x²⬝y = x² + y²): y^5 = (2⬝x-1)⬝(2⬝y-1)/2 - 1/2 := by ringa
example(_: x⬝y² = x+y)(_: x²⬝y = x+1): y = x² := by ringa
example(_: z⬝x=y)(_: y=x²)(_: v²=2): x⬝(2⬝z-x-x) = 0 := by ringa
example(_: x²⬝y = x²)(_: x⬝y² = y²): (x+y)⬝(x-y) + x² = x^3 := by ringa
--Iteration tests
example(_: x=y): x⬝f(2⬝x² - y²) - y⬝f(x⬝y) = 0 := by ringa
example(_: x=y): x⬝f(x-y) - y⬝f(x-x) = 0 := by ringa
example(_: x=y+1): (x-1)⬝f(2⬝x-1) - y⬝f(x² - y²) = 0 := by ringa
example(_: x²+y² = z²)(_: x^3 + y^3 = z^3)(_: x⬝y = 1): f(x + y + f(2/3)) = f(f(z²) - 2⬝z) := by ringa
--In algebras over ℚ
open polynomial
example{P: polynomial ℚ}(_: X² - X - 1 = (0: polynomial ℚ))(_: P = 1-X): P² = P+1 := by ringa
--Is it worth to handle the situation of inconsistent axioms?
example(_: x²+3⬝x+1 = 0)(_: y²+3⬝y+1 = 0)(_: x^5 + y^5 = 0): x-y = 1 := by ringa
#check ringa
--∛2̅+̅√̅5̅ + ∛2̅-̅√̅5̅ = 1
--example(_: x²=5)(_: y^3 = 2+x)(_: z^3 = 2-x): y+z = 1 := by ringa
end poly
open poly
instance{K:Type}[field K][decidable_eq K][has_repr K][mo]: has_repr(poly_mem K) :=
--by unfold poly_mem; apply_instance
⟨ x ↦ repr x.fst ⟩
instance{K:Type}[field K][decidable_eq K][has_repr K][mo]: has_repr(polys K) := by unfold polys; apply_instance
instance use_this := monomial.deg_lex
def lm(m: list ℕ): poly ℚ := monom(1,m)
def a := lm[2] +3⬝lm[1]+lm[]
def b := lm[0,2] +3⬝lm[0,1]+lm[]
def c := lm[5] + lm[0,5]
#eval simplify(Gröbner_basis_of[a,b]) c
--#eval Gröbner_basis_of[a,b,c] --Time out just because the algorithm is so slow!
def α := lm[0,0,2] + lm[0,2] - lm[2]
def β := lm[0,0,3] + lm[0,3] - lm[3]
def γ := lm[0,1,1] - 1
#eval (Gröbner_basis_of[α,β,γ])
#eval simplify(Gröbner_basis_of[α,β,γ]) (lm[2])
def P := lm[2,1] + ((1:ℚ)/2)•lm[2]
def R := lm[1,2] + lm[0,2]
def S := -lm[2,2] + lm[1,1] + lm[2]
#eval (Gröbner_basis_of[P,R])
#eval simplify (Gröbner_basis_of[P,R]) (S²)
def B := [lm [3] -1, lm[2]+lm[1,1], lm[2]+lm[1,0,1]+lm[0,0,2]]
#eval B
#eval Gröbner_basis_of B
#eval P²⬝R
#eval Gröbner_basis_of$ [lm [3] -1, lm[2]+lm[1,1], lm[2]+lm[1,0,1]+lm[0,0,2], lm [0,3] -1, lm[0,2]+lm[0,1,1]+lm[0,0,2], lm [0,0,3] -1].map(⬝1)
#eval Gröbner_basis_of[lm [3] -1, lm[2]+lm[1,1]+lm[0,2], lm[2]+lm[1,0,1]+lm[0,0,2], lm [0,3] -1, lm[0,2]+lm[0,1,1]+lm[0,0,2], lm [0,0,3] -1]
#eval Gröbner_basis_of(B++[P²⬝R])
--#eval Gröbner_basis_of(P²⬝R::B)
#eval (lm[] + 0).lead_coef
#eval (2⬝lm[4,2] + lm[3,4])².fold((++)∘repr) ""
#eval (2⬝lm[4,2] + lm[3,4])².lead_mono
#eval (P + 3⬝P² + P²)²
|
32998819f1e41d04586e2df60f731e8e120406f4 | 4727251e0cd73359b15b664c3170e5d754078599 | /src/algebra/group_with_zero/basic.lean | 94c9416837c5acdae00ac8331e89ae5516bd3073 | [
"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 | 44,152 | lean | /-
Copyright (c) 2020 Johan Commelin. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Johan Commelin
-/
import algebra.group.inj_surj
import algebra.group_with_zero.defs
import algebra.hom.units
import logic.nontrivial
import group_theory.group_action.units
/-!
# Groups with an adjoined zero element
This file describes structures that are not usually studied on their own right in mathematics,
namely a special sort of monoid: apart from a distinguished “zero element” they form a group,
or in other words, they are groups with an adjoined zero element.
Examples are:
* division rings;
* the value monoid of a multiplicative valuation;
* in particular, the non-negative real numbers.
## Main definitions
Various lemmas about `group_with_zero` and `comm_group_with_zero`.
To reduce import dependencies, the type-classes themselves are in
`algebra.group_with_zero.defs`.
## Implementation details
As is usual in mathlib, we extend the inverse function to the zero element,
and require `0⁻¹ = 0`.
-/
set_option old_structure_cmd true
open_locale classical
open function
variables {M₀ G₀ M₀' G₀' : Type*}
section
section mul_zero_class
variables [mul_zero_class M₀] {a b : M₀}
/-- Pullback a `mul_zero_class` instance along an injective function.
See note [reducible non-instances]. -/
@[reducible]
protected def function.injective.mul_zero_class [has_mul M₀'] [has_zero M₀'] (f : M₀' → M₀)
(hf : injective f) (zero : f 0 = 0) (mul : ∀ a b, f (a * b) = f a * f b) :
mul_zero_class M₀' :=
{ mul := (*),
zero := 0,
zero_mul := λ a, hf $ by simp only [mul, zero, zero_mul],
mul_zero := λ a, hf $ by simp only [mul, zero, mul_zero] }
/-- Pushforward a `mul_zero_class` instance along an surjective function.
See note [reducible non-instances]. -/
@[reducible]
protected def function.surjective.mul_zero_class [has_mul M₀'] [has_zero M₀'] (f : M₀ → M₀')
(hf : surjective f) (zero : f 0 = 0) (mul : ∀ a b, f (a * b) = f a * f b) :
mul_zero_class M₀' :=
{ mul := (*),
zero := 0,
mul_zero := hf.forall.2 $ λ x, by simp only [← zero, ← mul, mul_zero],
zero_mul := hf.forall.2 $ λ x, by simp only [← zero, ← mul, zero_mul] }
lemma mul_eq_zero_of_left (h : a = 0) (b : M₀) : a * b = 0 := h.symm ▸ zero_mul b
lemma mul_eq_zero_of_right (a : M₀) (h : b = 0) : a * b = 0 := h.symm ▸ mul_zero a
lemma left_ne_zero_of_mul : a * b ≠ 0 → a ≠ 0 := mt (λ h, mul_eq_zero_of_left h b)
lemma right_ne_zero_of_mul : a * b ≠ 0 → b ≠ 0 := mt (mul_eq_zero_of_right a)
lemma ne_zero_and_ne_zero_of_mul (h : a * b ≠ 0) : a ≠ 0 ∧ b ≠ 0 :=
⟨left_ne_zero_of_mul h, right_ne_zero_of_mul h⟩
lemma mul_eq_zero_of_ne_zero_imp_eq_zero {a b : M₀} (h : a ≠ 0 → b = 0) :
a * b = 0 :=
if ha : a = 0 then by rw [ha, zero_mul] else by rw [h ha, mul_zero]
/-- To match `one_mul_eq_id`. -/
lemma zero_mul_eq_const : ((*) (0 : M₀)) = function.const _ 0 := funext zero_mul
/-- To match `mul_one_eq_id`. -/
lemma mul_zero_eq_const : (* (0 : M₀)) = function.const _ 0 := funext mul_zero
end mul_zero_class
/-- Pushforward a `no_zero_divisors` instance along an injective function. -/
protected lemma function.injective.no_zero_divisors [has_mul M₀] [has_zero M₀]
[has_mul M₀'] [has_zero M₀'] [no_zero_divisors M₀']
(f : M₀ → M₀') (hf : injective f) (zero : f 0 = 0) (mul : ∀ x y, f (x * y) = f x * f y) :
no_zero_divisors M₀ :=
{ eq_zero_or_eq_zero_of_mul_eq_zero := λ x y H,
have f x * f y = 0, by rw [← mul, H, zero],
(eq_zero_or_eq_zero_of_mul_eq_zero this).imp (λ H, hf $ by rwa zero) (λ H, hf $ by rwa zero) }
lemma eq_zero_of_mul_self_eq_zero [has_mul M₀] [has_zero M₀] [no_zero_divisors M₀]
{a : M₀} (h : a * a = 0) :
a = 0 :=
(eq_zero_or_eq_zero_of_mul_eq_zero h).elim id id
section
variables [mul_zero_class M₀] [no_zero_divisors M₀] {a b : M₀}
/-- If `α` has no zero divisors, then the product of two elements equals zero iff one of them
equals zero. -/
@[simp] theorem mul_eq_zero : a * b = 0 ↔ a = 0 ∨ b = 0 :=
⟨eq_zero_or_eq_zero_of_mul_eq_zero,
λo, o.elim (λ h, mul_eq_zero_of_left h b) (mul_eq_zero_of_right a)⟩
/-- If `α` has no zero divisors, then the product of two elements equals zero iff one of them
equals zero. -/
@[simp] theorem zero_eq_mul : 0 = a * b ↔ a = 0 ∨ b = 0 :=
by rw [eq_comm, mul_eq_zero]
/-- If `α` has no zero divisors, then the product of two elements is nonzero iff both of them
are nonzero. -/
theorem mul_ne_zero_iff : a * b ≠ 0 ↔ a ≠ 0 ∧ b ≠ 0 :=
(not_congr mul_eq_zero).trans not_or_distrib
@[field_simps] theorem mul_ne_zero (ha : a ≠ 0) (hb : b ≠ 0) : a * b ≠ 0 :=
mul_ne_zero_iff.2 ⟨ha, hb⟩
/-- If `α` has no zero divisors, then for elements `a, b : α`, `a * b` equals zero iff so is
`b * a`. -/
theorem mul_eq_zero_comm : a * b = 0 ↔ b * a = 0 :=
mul_eq_zero.trans $ (or_comm _ _).trans mul_eq_zero.symm
/-- If `α` has no zero divisors, then for elements `a, b : α`, `a * b` is nonzero iff so is
`b * a`. -/
theorem mul_ne_zero_comm : a * b ≠ 0 ↔ b * a ≠ 0 :=
not_congr mul_eq_zero_comm
lemma mul_self_eq_zero : a * a = 0 ↔ a = 0 := by simp
lemma zero_eq_mul_self : 0 = a * a ↔ a = 0 := by simp
lemma mul_self_ne_zero : a * a ≠ 0 ↔ a ≠ 0 := not_congr mul_self_eq_zero
lemma zero_ne_mul_self : 0 ≠ a * a ↔ a ≠ 0 := not_congr zero_eq_mul_self
end
end
section
variables [mul_zero_one_class M₀]
/-- Pullback a `mul_zero_one_class` instance along an injective function.
See note [reducible non-instances]. -/
@[reducible]
protected def function.injective.mul_zero_one_class [has_mul M₀'] [has_zero M₀'] [has_one M₀']
(f : M₀' → M₀)
(hf : injective f) (zero : f 0 = 0) (one : f 1 = 1) (mul : ∀ a b, f (a * b) = f a * f b) :
mul_zero_one_class M₀' :=
{ ..hf.mul_zero_class f zero mul, ..hf.mul_one_class f one mul }
/-- Pushforward a `mul_zero_one_class` instance along an surjective function.
See note [reducible non-instances]. -/
@[reducible]
protected def function.surjective.mul_zero_one_class [has_mul M₀'] [has_zero M₀'] [has_one M₀']
(f : M₀ → M₀')
(hf : surjective f) (zero : f 0 = 0) (one : f 1 = 1) (mul : ∀ a b, f (a * b) = f a * f b) :
mul_zero_one_class M₀' :=
{ ..hf.mul_zero_class f zero mul, ..hf.mul_one_class f one mul }
/-- In a monoid with zero, if zero equals one, then zero is the only element. -/
lemma eq_zero_of_zero_eq_one (h : (0 : M₀) = 1) (a : M₀) : a = 0 :=
by rw [← mul_one a, ← h, mul_zero]
/-- In a monoid with zero, if zero equals one, then zero is the unique element.
Somewhat arbitrarily, we define the default element to be `0`.
All other elements will be provably equal to it, but not necessarily definitionally equal. -/
def unique_of_zero_eq_one (h : (0 : M₀) = 1) : unique M₀ :=
{ default := 0, uniq := eq_zero_of_zero_eq_one h }
/-- In a monoid with zero, zero equals one if and only if all elements of that semiring
are equal. -/
theorem subsingleton_iff_zero_eq_one : (0 : M₀) = 1 ↔ subsingleton M₀ :=
⟨λ h, @unique.subsingleton _ (unique_of_zero_eq_one h), λ h, @subsingleton.elim _ h _ _⟩
alias subsingleton_iff_zero_eq_one ↔ subsingleton_of_zero_eq_one _
lemma eq_of_zero_eq_one (h : (0 : M₀) = 1) (a b : M₀) : a = b :=
@subsingleton.elim _ (subsingleton_of_zero_eq_one h) a b
/-- In a monoid with zero, either zero and one are nonequal, or zero is the only element. -/
lemma zero_ne_one_or_forall_eq_0 : (0 : M₀) ≠ 1 ∨ (∀a:M₀, a = 0) :=
not_or_of_imp eq_zero_of_zero_eq_one
end
section
variables [mul_zero_one_class M₀] [nontrivial M₀] {a b : M₀}
/-- In a nontrivial monoid with zero, zero and one are different. -/
@[simp] lemma zero_ne_one : 0 ≠ (1:M₀) :=
begin
assume h,
rcases exists_pair_ne M₀ with ⟨x, y, hx⟩,
apply hx,
calc x = 1 * x : by rw [one_mul]
... = 0 : by rw [← h, zero_mul]
... = 1 * y : by rw [← h, zero_mul]
... = y : by rw [one_mul]
end
@[simp] lemma one_ne_zero : (1:M₀) ≠ 0 :=
zero_ne_one.symm
lemma ne_zero_of_eq_one {a : M₀} (h : a = 1) : a ≠ 0 :=
calc a = 1 : h
... ≠ 0 : one_ne_zero
lemma left_ne_zero_of_mul_eq_one (h : a * b = 1) : a ≠ 0 :=
left_ne_zero_of_mul $ ne_zero_of_eq_one h
lemma right_ne_zero_of_mul_eq_one (h : a * b = 1) : b ≠ 0 :=
right_ne_zero_of_mul $ ne_zero_of_eq_one h
/-- Pullback a `nontrivial` instance along a function sending `0` to `0` and `1` to `1`. -/
protected lemma pullback_nonzero [has_zero M₀'] [has_one M₀']
(f : M₀' → M₀) (zero : f 0 = 0) (one : f 1 = 1) : nontrivial M₀' :=
⟨⟨0, 1, mt (congr_arg f) $ by { rw [zero, one], exact zero_ne_one }⟩⟩
end
section semigroup_with_zero
/-- Pullback a `semigroup_with_zero` class along an injective function.
See note [reducible non-instances]. -/
@[reducible]
protected def function.injective.semigroup_with_zero
[has_zero M₀'] [has_mul M₀'] [semigroup_with_zero M₀] (f : M₀' → M₀) (hf : injective f)
(zero : f 0 = 0) (mul : ∀ x y, f (x * y) = f x * f y) :
semigroup_with_zero M₀' :=
{ .. hf.mul_zero_class f zero mul,
.. ‹has_zero M₀'›,
.. hf.semigroup f mul }
/-- Pushforward a `semigroup_with_zero` class along an surjective function.
See note [reducible non-instances]. -/
@[reducible]
protected def function.surjective.semigroup_with_zero
[semigroup_with_zero M₀] [has_zero M₀'] [has_mul M₀'] (f : M₀ → M₀') (hf : surjective f)
(zero : f 0 = 0) (mul : ∀ x y, f (x * y) = f x * f y) :
semigroup_with_zero M₀' :=
{ .. hf.mul_zero_class f zero mul,
.. ‹has_zero M₀'›,
.. hf.semigroup f mul }
end semigroup_with_zero
section monoid_with_zero
/-- Pullback a `monoid_with_zero` class along an injective function.
See note [reducible non-instances]. -/
@[reducible]
protected def function.injective.monoid_with_zero [has_zero M₀'] [has_mul M₀'] [has_one M₀']
[has_pow M₀' ℕ] [monoid_with_zero M₀]
(f : M₀' → M₀) (hf : injective f) (zero : f 0 = 0) (one : f 1 = 1)
(mul : ∀ x y, f (x * y) = f x * f y) (npow : ∀ x (n : ℕ), f (x ^ n) = f x ^ n) :
monoid_with_zero M₀' :=
{ .. hf.monoid f one mul npow, .. hf.mul_zero_class f zero mul }
/-- Pushforward a `monoid_with_zero` class along a surjective function.
See note [reducible non-instances]. -/
@[reducible]
protected def function.surjective.monoid_with_zero [has_zero M₀'] [has_mul M₀'] [has_one M₀']
[has_pow M₀' ℕ] [monoid_with_zero M₀]
(f : M₀ → M₀') (hf : surjective f) (zero : f 0 = 0) (one : f 1 = 1)
(mul : ∀ x y, f (x * y) = f x * f y) (npow : ∀ x (n : ℕ), f (x ^ n) = f x ^ n) :
monoid_with_zero M₀' :=
{ .. hf.monoid f one mul npow, .. hf.mul_zero_class f zero mul }
/-- Pullback a `monoid_with_zero` class along an injective function.
See note [reducible non-instances]. -/
@[reducible]
protected def function.injective.comm_monoid_with_zero [has_zero M₀'] [has_mul M₀'] [has_one M₀']
[has_pow M₀' ℕ] [comm_monoid_with_zero M₀]
(f : M₀' → M₀) (hf : injective f) (zero : f 0 = 0) (one : f 1 = 1)
(mul : ∀ x y, f (x * y) = f x * f y) (npow : ∀ x (n : ℕ), f (x ^ n) = f x ^ n) :
comm_monoid_with_zero M₀' :=
{ .. hf.comm_monoid f one mul npow, .. hf.mul_zero_class f zero mul }
/-- Pushforward a `monoid_with_zero` class along a surjective function.
See note [reducible non-instances]. -/
@[reducible]
protected def function.surjective.comm_monoid_with_zero [has_zero M₀'] [has_mul M₀'] [has_one M₀']
[has_pow M₀' ℕ] [comm_monoid_with_zero M₀]
(f : M₀ → M₀') (hf : surjective f) (zero : f 0 = 0) (one : f 1 = 1)
(mul : ∀ x y, f (x * y) = f x * f y) (npow : ∀ x (n : ℕ), f (x ^ n) = f x ^ n) :
comm_monoid_with_zero M₀' :=
{ .. hf.comm_monoid f one mul npow, .. hf.mul_zero_class f zero mul }
variables [monoid_with_zero M₀]
namespace units
/-- An element of the unit group of a nonzero monoid with zero represented as an element
of the monoid is nonzero. -/
@[simp] lemma ne_zero [nontrivial M₀] (u : M₀ˣ) :
(u : M₀) ≠ 0 :=
left_ne_zero_of_mul_eq_one u.mul_inv
-- We can't use `mul_eq_zero` + `units.ne_zero` in the next two lemmas because we don't assume
-- `nonzero M₀`.
@[simp] lemma mul_left_eq_zero (u : M₀ˣ) {a : M₀} : a * u = 0 ↔ a = 0 :=
⟨λ h, by simpa using mul_eq_zero_of_left h ↑u⁻¹, λ h, mul_eq_zero_of_left h u⟩
@[simp] lemma mul_right_eq_zero (u : M₀ˣ) {a : M₀} : ↑u * a = 0 ↔ a = 0 :=
⟨λ h, by simpa using mul_eq_zero_of_right ↑u⁻¹ h, mul_eq_zero_of_right u⟩
end units
namespace is_unit
lemma ne_zero [nontrivial M₀] {a : M₀} (ha : is_unit a) : a ≠ 0 := let ⟨u, hu⟩ :=
ha in hu ▸ u.ne_zero
lemma mul_right_eq_zero {a b : M₀} (ha : is_unit a) : a * b = 0 ↔ b = 0 :=
let ⟨u, hu⟩ := ha in hu ▸ u.mul_right_eq_zero
lemma mul_left_eq_zero {a b : M₀} (hb : is_unit b) : a * b = 0 ↔ a = 0 :=
let ⟨u, hu⟩ := hb in hu ▸ u.mul_left_eq_zero
end is_unit
@[simp] theorem is_unit_zero_iff : is_unit (0 : M₀) ↔ (0:M₀) = 1 :=
⟨λ ⟨⟨_, a, (a0 : 0 * a = 1), _⟩, rfl⟩, by rwa zero_mul at a0,
λ h, @is_unit_of_subsingleton _ _ (subsingleton_of_zero_eq_one h) 0⟩
@[simp] theorem not_is_unit_zero [nontrivial M₀] : ¬ is_unit (0 : M₀) :=
mt is_unit_zero_iff.1 zero_ne_one
namespace ring
open_locale classical
/-- Introduce a function `inverse` on a monoid with zero `M₀`, which sends `x` to `x⁻¹` if `x` is
invertible 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.
Note that while this is in the `ring` namespace for brevity, it requires the weaker assumption
`monoid_with_zero M₀` instead of `ring M₀`. -/
noncomputable def inverse : M₀ → M₀ :=
λ x, if h : is_unit x then ((h.unit⁻¹ : M₀ˣ) : M₀) else 0
/-- By definition, if `x` is invertible then `inverse x = x⁻¹`. -/
@[simp] lemma inverse_unit (u : M₀ˣ) : inverse (u : M₀) = (u⁻¹ : M₀ˣ) :=
begin
simp only [units.is_unit, inverse, dif_pos],
exact units.inv_unique rfl
end
/-- By definition, if `x` is not invertible then `inverse x = 0`. -/
@[simp] lemma inverse_non_unit (x : M₀) (h : ¬(is_unit x)) : inverse x = 0 := dif_neg h
lemma mul_inverse_cancel (x : M₀) (h : is_unit x) : x * inverse x = 1 :=
by { rcases h with ⟨u, rfl⟩, rw [inverse_unit, units.mul_inv], }
lemma inverse_mul_cancel (x : M₀) (h : is_unit x) : inverse x * x = 1 :=
by { rcases h with ⟨u, rfl⟩, rw [inverse_unit, units.inv_mul], }
lemma mul_inverse_cancel_right (x y : M₀) (h : is_unit x) : y * x * inverse x = y :=
by rw [mul_assoc, mul_inverse_cancel x h, mul_one]
lemma inverse_mul_cancel_right (x y : M₀) (h : is_unit x) : y * inverse x * x = y :=
by rw [mul_assoc, inverse_mul_cancel x h, mul_one]
lemma mul_inverse_cancel_left (x y : M₀) (h : is_unit x) : x * (inverse x * y) = y :=
by rw [← mul_assoc, mul_inverse_cancel x h, one_mul]
lemma inverse_mul_cancel_left (x y : M₀) (h : is_unit x) : inverse x * (x * y) = y :=
by rw [← mul_assoc, inverse_mul_cancel x h, one_mul]
variables (M₀)
@[simp] lemma inverse_one : inverse (1 : M₀) = 1 :=
inverse_unit 1
@[simp] lemma inverse_zero : inverse (0 : M₀) = 0 :=
by { nontriviality, exact inverse_non_unit _ not_is_unit_zero }
variables {M₀}
lemma mul_inverse_rev' {a b : M₀} (h : commute a b) : inverse (a * b) = inverse b * inverse a :=
begin
by_cases hab : is_unit (a * b),
{ obtain ⟨⟨a, rfl⟩, b, rfl⟩ := h.is_unit_mul_iff.mp hab,
rw [←units.coe_mul, inverse_unit, inverse_unit, inverse_unit, ←units.coe_mul,
mul_inv_rev], },
obtain ha | hb := not_and_distrib.mp (mt h.is_unit_mul_iff.mpr hab),
{ rw [inverse_non_unit _ hab, inverse_non_unit _ ha, mul_zero]},
{ rw [inverse_non_unit _ hab, inverse_non_unit _ hb, zero_mul]},
end
lemma mul_inverse_rev {M₀} [comm_monoid_with_zero M₀] (a b : M₀) :
ring.inverse (a * b) = inverse b * inverse a :=
mul_inverse_rev' (commute.all _ _)
end ring
lemma is_unit.ring_inverse {a : M₀} : is_unit a → is_unit (ring.inverse a)
| ⟨u, hu⟩ := hu ▸ ⟨u⁻¹, (ring.inverse_unit u).symm⟩
@[simp] lemma is_unit_ring_inverse {a : M₀} : is_unit (ring.inverse a) ↔ is_unit a :=
⟨λ h, begin
casesI subsingleton_or_nontrivial M₀,
{ convert h },
{ contrapose h,
rw ring.inverse_non_unit _ h,
exact not_is_unit_zero, },
end, is_unit.ring_inverse⟩
lemma commute.ring_inverse_ring_inverse {a b : M₀} (h : commute a b) :
commute (ring.inverse a) (ring.inverse b) :=
(ring.mul_inverse_rev' h.symm).symm.trans $ (congr_arg _ h.symm.eq).trans $ ring.mul_inverse_rev' h
variable (M₀)
end monoid_with_zero
section cancel_monoid_with_zero
variables [cancel_monoid_with_zero M₀] {a b c : M₀}
@[priority 10] -- see Note [lower instance priority]
instance cancel_monoid_with_zero.to_no_zero_divisors : no_zero_divisors M₀ :=
⟨λ a b ab0, by { by_cases a = 0, { left, exact h }, right,
apply cancel_monoid_with_zero.mul_left_cancel_of_ne_zero h, rw [ab0, mul_zero], }⟩
lemma mul_left_inj' (hc : c ≠ 0) : a * c = b * c ↔ a = b := ⟨mul_right_cancel₀ hc, λ h, h ▸ rfl⟩
lemma mul_right_inj' (ha : a ≠ 0) : a * b = a * c ↔ b = c := ⟨mul_left_cancel₀ ha, λ h, h ▸ rfl⟩
@[simp] lemma mul_eq_mul_right_iff : a * c = b * c ↔ a = b ∨ c = 0 :=
by by_cases hc : c = 0; [simp [hc], simp [mul_left_inj', hc]]
@[simp] lemma mul_eq_mul_left_iff : a * b = a * c ↔ b = c ∨ a = 0 :=
by by_cases ha : a = 0; [simp [ha], simp [mul_right_inj', ha]]
lemma mul_right_eq_self₀ : a * b = a ↔ b = 1 ∨ a = 0 :=
calc a * b = a ↔ a * b = a * 1 : by rw mul_one
... ↔ b = 1 ∨ a = 0 : mul_eq_mul_left_iff
lemma mul_left_eq_self₀ : a * b = b ↔ a = 1 ∨ b = 0 :=
calc a * b = b ↔ a * b = 1 * b : by rw one_mul
... ↔ a = 1 ∨ b = 0 : mul_eq_mul_right_iff
/-- Pullback a `monoid_with_zero` class along an injective function.
See note [reducible non-instances]. -/
@[reducible]
protected def function.injective.cancel_monoid_with_zero [has_zero M₀'] [has_mul M₀'] [has_one M₀']
[has_pow M₀' ℕ] (f : M₀' → M₀) (hf : injective f) (zero : f 0 = 0) (one : f 1 = 1)
(mul : ∀ x y, f (x * y) = f x * f y) (npow : ∀ x (n : ℕ), f (x ^ n) = f x ^ n) :
cancel_monoid_with_zero M₀' :=
{ mul_left_cancel_of_ne_zero := λ x y z hx H, hf $ mul_left_cancel₀ ((hf.ne_iff' zero).2 hx) $
by erw [← mul, ← mul, H]; refl,
mul_right_cancel_of_ne_zero := λ x y z hx H, hf $ mul_right_cancel₀ ((hf.ne_iff' zero).2 hx) $
by erw [← mul, ← mul, H]; refl,
.. hf.monoid f one mul npow, .. hf.mul_zero_class f zero mul }
/-- An element of a `cancel_monoid_with_zero` fixed by right multiplication by an element other
than one must be zero. -/
theorem eq_zero_of_mul_eq_self_right (h₁ : b ≠ 1) (h₂ : a * b = a) : a = 0 :=
classical.by_contradiction $ λ ha, h₁ $ mul_left_cancel₀ ha $ h₂.symm ▸ (mul_one a).symm
/-- An element of a `cancel_monoid_with_zero` fixed by left multiplication by an element other
than one must be zero. -/
theorem eq_zero_of_mul_eq_self_left (h₁ : b ≠ 1) (h₂ : b * a = a) : a = 0 :=
classical.by_contradiction $ λ ha, h₁ $ mul_right_cancel₀ ha $ h₂.symm ▸ (one_mul a).symm
end cancel_monoid_with_zero
section cancel_comm_monoid_with_zero
variables [cancel_comm_monoid_with_zero M₀] {a b c : M₀}
/-- Pullback a `cancel_comm_monoid_with_zero` class along an injective function.
See note [reducible non-instances]. -/
@[reducible]
protected def function.injective.cancel_comm_monoid_with_zero
[has_zero M₀'] [has_mul M₀'] [has_one M₀'] [has_pow M₀' ℕ]
(f : M₀' → M₀) (hf : injective f) (zero : f 0 = 0) (one : f 1 = 1)
(mul : ∀ x y, f (x * y) = f x * f y) (npow : ∀ x (n : ℕ), f (x ^ n) = f x ^ n) :
cancel_comm_monoid_with_zero M₀' :=
{ .. hf.comm_monoid_with_zero f zero one mul npow,
.. hf.cancel_monoid_with_zero f zero one mul npow }
end cancel_comm_monoid_with_zero
section group_with_zero
variables [group_with_zero G₀] {a b c g h x : G₀}
/-- Pullback a `group_with_zero` class along an injective function.
See note [reducible non-instances]. -/
@[reducible]
protected def function.injective.group_with_zero [has_zero G₀'] [has_mul G₀'] [has_one G₀']
[has_inv G₀'] [has_div G₀'] [has_pow G₀' ℕ] [has_pow G₀' ℤ]
(f : G₀' → G₀) (hf : injective f) (zero : f 0 = 0) (one : f 1 = 1)
(mul : ∀ x y, f (x * y) = f x * f y) (inv : ∀ x, f x⁻¹ = (f x)⁻¹)
(div : ∀ x y, f (x / y) = f x / f y) (npow : ∀ x (n : ℕ), f (x ^ n) = f x ^ n)
(zpow : ∀ x (n : ℤ), f (x ^ n) = f x ^ n) :
group_with_zero G₀' :=
{ inv_zero := hf $ by erw [inv, zero, inv_zero],
mul_inv_cancel := λ x hx, hf $ by erw [one, mul, inv, mul_inv_cancel ((hf.ne_iff' zero).2 hx)],
.. hf.monoid_with_zero f zero one mul npow,
.. hf.div_inv_monoid f one mul inv div npow zpow,
.. pullback_nonzero f zero one, }
/-- Pushforward a `group_with_zero` class along an surjective function.
See note [reducible non-instances]. -/
@[reducible]
protected def function.surjective.group_with_zero [has_zero G₀'] [has_mul G₀'] [has_one G₀']
[has_inv G₀'] [has_div G₀'] [has_pow G₀' ℕ] [has_pow G₀' ℤ]
(h01 : (0:G₀') ≠ 1) (f : G₀ → G₀') (hf : surjective f)
(zero : f 0 = 0) (one : f 1 = 1) (mul : ∀ x y, f (x * y) = f x * f y)
(inv : ∀ x, f x⁻¹ = (f x)⁻¹) (div : ∀ x y, f (x / y) = f x / f y)
(npow : ∀ x (n : ℕ), f (x ^ n) = f x ^ n) (zpow : ∀ x (n : ℤ), f (x ^ n) = f x ^ n):
group_with_zero G₀' :=
{ inv_zero := by erw [← zero, ← inv, inv_zero],
mul_inv_cancel := hf.forall.2 $ λ x hx,
by erw [← inv, ← mul, mul_inv_cancel (mt (congr_arg f) $ trans_rel_left ne hx zero.symm)];
exact one,
exists_pair_ne := ⟨0, 1, h01⟩,
.. hf.monoid_with_zero f zero one mul npow,
.. hf.div_inv_monoid f one mul inv div npow zpow }
@[simp] lemma mul_inv_cancel_right₀ (h : b ≠ 0) (a : G₀) :
(a * b) * b⁻¹ = a :=
calc (a * b) * b⁻¹ = a * (b * b⁻¹) : mul_assoc _ _ _
... = a : by simp [h]
@[simp] lemma mul_inv_cancel_left₀ (h : a ≠ 0) (b : G₀) :
a * (a⁻¹ * b) = b :=
calc a * (a⁻¹ * b) = (a * a⁻¹) * b : (mul_assoc _ _ _).symm
... = b : by simp [h]
lemma inv_ne_zero (h : a ≠ 0) : a⁻¹ ≠ 0 :=
assume a_eq_0, by simpa [a_eq_0] using mul_inv_cancel h
@[simp] lemma inv_mul_cancel (h : a ≠ 0) : a⁻¹ * a = 1 :=
calc a⁻¹ * a = (a⁻¹ * a) * a⁻¹ * a⁻¹⁻¹ : by simp [inv_ne_zero h]
... = a⁻¹ * a⁻¹⁻¹ : by simp [h]
... = 1 : by simp [inv_ne_zero h]
lemma group_with_zero.mul_left_injective (h : x ≠ 0) :
function.injective (λ y, x * y) :=
λ y y' w, by simpa only [←mul_assoc, inv_mul_cancel h, one_mul] using congr_arg (λ y, x⁻¹ * y) w
lemma group_with_zero.mul_right_injective (h : x ≠ 0) :
function.injective (λ y, y * x) :=
λ y y' w, by simpa only [mul_assoc, mul_inv_cancel h, mul_one] using congr_arg (λ y, y * x⁻¹) w
@[simp] lemma inv_mul_cancel_right₀ (h : b ≠ 0) (a : G₀) :
(a * b⁻¹) * b = a :=
calc (a * b⁻¹) * b = a * (b⁻¹ * b) : mul_assoc _ _ _
... = a : by simp [h]
@[simp] lemma inv_mul_cancel_left₀ (h : a ≠ 0) (b : G₀) :
a⁻¹ * (a * b) = b :=
calc a⁻¹ * (a * b) = (a⁻¹ * a) * b : (mul_assoc _ _ _).symm
... = b : by simp [h]
private lemma inv_eq_of_mul (h : a * b = 1) : a⁻¹ = b :=
by rw [← inv_mul_cancel_left₀ (left_ne_zero_of_mul_eq_one h) b, h, mul_one]
@[priority 100] -- See note [lower instance priority]
instance group_with_zero.to_division_monoid : division_monoid G₀ :=
{ inv := has_inv.inv,
inv_inv := λ a, begin
by_cases h : a = 0,
{ simp [h] },
{ exact left_inv_eq_right_inv (inv_mul_cancel $ inv_ne_zero h) (inv_mul_cancel h) }
end,
mul_inv_rev := λ a b, begin
by_cases ha : a = 0, { simp [ha] },
by_cases hb : b = 0, { simp [hb] },
refine inv_eq_of_mul _,
simp [mul_assoc, ha, hb]
end,
inv_eq_of_mul := λ a b, inv_eq_of_mul,
..‹group_with_zero G₀› }
/-- Multiplying `a` by itself and then by its inverse results in `a`
(whether or not `a` is zero). -/
@[simp] lemma mul_self_mul_inv (a : G₀) : a * a * a⁻¹ = a :=
begin
by_cases h : a = 0,
{ rw [h, inv_zero, mul_zero] },
{ rw [mul_assoc, mul_inv_cancel h, mul_one] }
end
/-- Multiplying `a` by its inverse and then by itself results in `a`
(whether or not `a` is zero). -/
@[simp] lemma mul_inv_mul_self (a : G₀) : a * a⁻¹ * a = a :=
begin
by_cases h : a = 0,
{ rw [h, inv_zero, mul_zero] },
{ rw [mul_inv_cancel h, one_mul] }
end
/-- Multiplying `a⁻¹` by `a` twice results in `a` (whether or not `a`
is zero). -/
@[simp] lemma inv_mul_mul_self (a : G₀) : a⁻¹ * a * a = a :=
begin
by_cases h : a = 0,
{ rw [h, inv_zero, mul_zero] },
{ rw [inv_mul_cancel h, one_mul] }
end
/-- Multiplying `a` by itself and then dividing by itself results in
`a` (whether or not `a` is zero). -/
@[simp] lemma mul_self_div_self (a : G₀) : a * a / a = a :=
by rw [div_eq_mul_inv, mul_self_mul_inv a]
/-- Dividing `a` by itself and then multiplying by itself results in
`a` (whether or not `a` is zero). -/
@[simp] lemma div_self_mul_self (a : G₀) : a / a * a = a :=
by rw [div_eq_mul_inv, mul_inv_mul_self a]
lemma eq_mul_inv_iff_mul_eq₀ (hc : c ≠ 0) : a = b * c⁻¹ ↔ a * c = b :=
by split; rintro rfl; [rw inv_mul_cancel_right₀ hc, rw mul_inv_cancel_right₀ hc]
lemma eq_inv_mul_iff_mul_eq₀ (hb : b ≠ 0) : a = b⁻¹ * c ↔ b * a = c :=
by split; rintro rfl; [rw mul_inv_cancel_left₀ hb, rw inv_mul_cancel_left₀ hb]
lemma inv_mul_eq_iff_eq_mul₀ (ha : a ≠ 0) : a⁻¹ * b = c ↔ b = a * c :=
by rw [eq_comm, eq_inv_mul_iff_mul_eq₀ ha, eq_comm]
lemma mul_inv_eq_iff_eq_mul₀ (hb : b ≠ 0) : a * b⁻¹ = c ↔ a = c * b :=
by rw [eq_comm, eq_mul_inv_iff_mul_eq₀ hb, eq_comm]
lemma mul_inv_eq_one₀ (hb : b ≠ 0) : a * b⁻¹ = 1 ↔ a = b :=
by rw [mul_inv_eq_iff_eq_mul₀ hb, one_mul]
lemma inv_mul_eq_one₀ (ha : a ≠ 0) : a⁻¹ * b = 1 ↔ a = b :=
by rw [inv_mul_eq_iff_eq_mul₀ ha, mul_one, eq_comm]
lemma mul_eq_one_iff_eq_inv₀ (hb : b ≠ 0) : a * b = 1 ↔ a = b⁻¹ :=
by { convert mul_inv_eq_one₀ (inv_ne_zero hb), rw [inv_inv] }
lemma mul_eq_one_iff_inv_eq₀ (ha : a ≠ 0) : a * b = 1 ↔ a⁻¹ = b :=
by { convert inv_mul_eq_one₀ (inv_ne_zero ha), rw [inv_inv] }
end group_with_zero
namespace units
variables [group_with_zero G₀]
variables {a b : G₀}
/-- Embed a non-zero element of a `group_with_zero` into the unit group.
By combining this function with the operations on units,
or the `/ₚ` operation, it is possible to write a division
as a partial function with three arguments. -/
def mk0 (a : G₀) (ha : a ≠ 0) : G₀ˣ :=
⟨a, a⁻¹, mul_inv_cancel ha, inv_mul_cancel ha⟩
@[simp] lemma mk0_one (h := one_ne_zero) :
mk0 (1 : G₀) h = 1 :=
by { ext, refl }
@[simp] lemma coe_mk0 {a : G₀} (h : a ≠ 0) : (mk0 a h : G₀) = a := rfl
@[simp] lemma mk0_coe (u : G₀ˣ) (h : (u : G₀) ≠ 0) : mk0 (u : G₀) h = u :=
units.ext rfl
@[simp, norm_cast] lemma coe_inv' (u : G₀ˣ) : ((u⁻¹ : G₀ˣ) : G₀) = u⁻¹ :=
eq_inv_of_mul_eq_one_left u.inv_mul
@[simp] lemma mul_inv' (u : G₀ˣ) : (u : G₀) * u⁻¹ = 1 := mul_inv_cancel u.ne_zero
@[simp] lemma inv_mul' (u : G₀ˣ) : (u⁻¹ : G₀) * u = 1 := inv_mul_cancel u.ne_zero
@[simp] lemma mk0_inj {a b : G₀} (ha : a ≠ 0) (hb : b ≠ 0) :
units.mk0 a ha = units.mk0 b hb ↔ a = b :=
⟨λ h, by injection h, λ h, units.ext h⟩
/-- In a group with zero, an existential over a unit can be rewritten in terms of `units.mk0`. -/
lemma exists0 {p : G₀ˣ → Prop} : (∃ g : G₀ˣ, p g) ↔ ∃ (g : G₀) (hg : g ≠ 0), p (units.mk0 g hg) :=
⟨λ ⟨g, pg⟩, ⟨g, g.ne_zero, (g.mk0_coe g.ne_zero).symm ▸ pg⟩, λ ⟨g, hg, pg⟩, ⟨units.mk0 g hg, pg⟩⟩
/-- An alternative version of `units.exists0`. This one is useful if Lean cannot
figure out `p` when using `units.exists0` from right to left. -/
lemma exists0' {p : Π g : G₀, g ≠ 0 → Prop} :
(∃ (g : G₀) (hg : g ≠ 0), p g hg) ↔ ∃ g : G₀ˣ, p g g.ne_zero :=
iff.trans (by simp_rw [coe_mk0]) exists0.symm
@[simp] lemma exists_iff_ne_zero {x : G₀} : (∃ u : G₀ˣ, ↑u = x) ↔ x ≠ 0 :=
by simp [exists0]
lemma _root_.group_with_zero.eq_zero_or_unit (a : G₀) :
a = 0 ∨ ∃ u : G₀ˣ, a = u :=
begin
by_cases h : a = 0,
{ left,
exact h },
{ right,
simpa only [eq_comm] using units.exists_iff_ne_zero.mpr h }
end
@[simp] lemma smul_mk0 {α : Type*} [has_scalar G₀ α] {g : G₀} (hg : g ≠ 0) (a : α) :
(mk0 g hg) • a = g • a :=
rfl
end units
section group_with_zero
variables [group_with_zero G₀]
lemma is_unit.mk0 (x : G₀) (hx : x ≠ 0) : is_unit x := (units.mk0 x hx).is_unit
lemma is_unit_iff_ne_zero {x : G₀} : is_unit x ↔ x ≠ 0 :=
units.exists_iff_ne_zero
@[priority 10] -- see Note [lower instance priority]
instance group_with_zero.no_zero_divisors : no_zero_divisors G₀ :=
{ eq_zero_or_eq_zero_of_mul_eq_zero := λ a b h,
begin
contrapose! h,
exact ((units.mk0 a h.1) * (units.mk0 b h.2)).ne_zero
end,
.. (‹_› : group_with_zero G₀) }
@[priority 10] -- see Note [lower instance priority]
instance group_with_zero.cancel_monoid_with_zero : cancel_monoid_with_zero G₀ :=
{ mul_left_cancel_of_ne_zero := λ x y z hx h,
by rw [← inv_mul_cancel_left₀ hx y, h, inv_mul_cancel_left₀ hx z],
mul_right_cancel_of_ne_zero := λ x y z hy h,
by rw [← mul_inv_cancel_right₀ hy x, h, mul_inv_cancel_right₀ hy z],
.. (‹_› : group_with_zero G₀) }
-- Can't be put next to the other `mk0` lemmas becuase it depends on the
-- `no_zero_divisors` instance, which depends on `mk0`.
@[simp] lemma units.mk0_mul (x y : G₀) (hxy) :
units.mk0 (x * y) hxy =
units.mk0 x (mul_ne_zero_iff.mp hxy).1 * units.mk0 y (mul_ne_zero_iff.mp hxy).2 :=
by { ext, refl }
@[simp] lemma div_self {a : G₀} (h : a ≠ 0) : a / a = 1 :=
by rw [div_eq_mul_inv, mul_inv_cancel h]
@[simp] lemma zero_div (a : G₀) : 0 / a = 0 :=
by rw [div_eq_mul_inv, zero_mul]
@[simp] lemma div_zero (a : G₀) : a / 0 = 0 :=
by rw [div_eq_mul_inv, inv_zero, mul_zero]
@[simp] lemma div_mul_cancel (a : G₀) {b : G₀} (h : b ≠ 0) : a / b * b = a :=
by rw [div_eq_mul_inv, inv_mul_cancel_right₀ h a]
lemma div_mul_cancel_of_imp {a b : G₀} (h : b = 0 → a = 0) : a / b * b = a :=
classical.by_cases (λ hb : b = 0, by simp [*]) (div_mul_cancel a)
@[simp] lemma mul_div_cancel (a : G₀) {b : G₀} (h : b ≠ 0) : a * b / b = a :=
by rw [div_eq_mul_inv, mul_inv_cancel_right₀ h a]
lemma mul_div_cancel_of_imp {a b : G₀} (h : b = 0 → a = 0) : a * b / b = a :=
classical.by_cases (λ hb : b = 0, by simp [*]) (mul_div_cancel a)
local attribute [simp] div_eq_mul_inv mul_comm mul_assoc mul_left_comm
@[simp] lemma div_self_mul_self' (a : G₀) : a / (a * a) = a⁻¹ :=
calc a / (a * a) = a⁻¹⁻¹ * a⁻¹ * a⁻¹ : by simp [mul_inv_rev]
... = a⁻¹ : inv_mul_mul_self _
lemma mul_one_div_cancel {a : G₀} (h : a ≠ 0) : a * (1 / a) = 1 :=
by simp [h]
lemma one_div_mul_cancel {a : G₀} (h : a ≠ 0) : (1 / a) * a = 1 :=
by simp [h]
lemma one_div_ne_zero {a : G₀} (h : a ≠ 0) : 1 / a ≠ 0 :=
by simpa only [one_div] using inv_ne_zero h
variables {a b c : G₀}
@[simp] lemma inv_eq_zero {a : G₀} : a⁻¹ = 0 ↔ a = 0 :=
by rw [inv_eq_iff_inv_eq, inv_zero, eq_comm]
@[simp] lemma zero_eq_inv {a : G₀} : 0 = a⁻¹ ↔ 0 = a :=
eq_comm.trans $ inv_eq_zero.trans eq_comm
theorem divp_eq_div (a : G₀) (u : G₀ˣ) : a /ₚ u = a / u :=
by simpa only [div_eq_mul_inv] using congr_arg ((*) a) u.coe_inv'
@[simp] theorem divp_mk0 (a : G₀) {b : G₀} (hb : b ≠ 0) :
a /ₚ units.mk0 b hb = a / b :=
divp_eq_div _ _
lemma div_ne_zero (ha : a ≠ 0) (hb : b ≠ 0) : a / b ≠ 0 :=
by { rw div_eq_mul_inv, exact mul_ne_zero ha (inv_ne_zero hb) }
@[simp] lemma div_eq_zero_iff : a / b = 0 ↔ a = 0 ∨ b = 0:=
by simp [div_eq_mul_inv]
lemma div_ne_zero_iff : a / b ≠ 0 ↔ a ≠ 0 ∧ b ≠ 0 :=
(not_congr div_eq_zero_iff).trans not_or_distrib
lemma div_left_inj' (hc : c ≠ 0) : a / c = b / c ↔ a = b :=
by rw [← divp_mk0 _ hc, ← divp_mk0 _ hc, divp_left_inj]
lemma div_eq_iff_mul_eq (hb : b ≠ 0) : a / b = c ↔ c * b = a :=
⟨λ h, by rw [← h, div_mul_cancel _ hb],
λ h, by rw [← h, mul_div_cancel _ hb]⟩
lemma eq_div_iff_mul_eq (hc : c ≠ 0) : a = b / c ↔ a * c = b :=
by rw [eq_comm, div_eq_iff_mul_eq hc]
lemma div_eq_of_eq_mul {x : G₀} (hx : x ≠ 0) {y z : G₀} (h : y = z * x) : y / x = z :=
(div_eq_iff_mul_eq hx).2 h.symm
lemma eq_div_of_mul_eq {x : G₀} (hx : x ≠ 0) {y z : G₀} (h : z * x = y) : z = y / x :=
eq.symm $ div_eq_of_eq_mul hx h.symm
lemma div_eq_one_iff_eq (hb : b ≠ 0) : a / b = 1 ↔ a = b :=
⟨eq_of_div_eq_one, λ h, h.symm ▸ div_self hb⟩
lemma div_mul_left {a b : G₀} (hb : b ≠ 0) : b / (a * b) = 1 / a :=
by simp only [div_eq_mul_inv, mul_inv_rev, mul_inv_cancel_left₀ hb, one_mul]
lemma mul_div_mul_right (a b : G₀) {c : G₀} (hc : c ≠ 0) :
(a * c) / (b * c) = a / b :=
by simp only [div_eq_mul_inv, mul_inv_rev, mul_assoc, mul_inv_cancel_left₀ hc]
lemma mul_mul_div (a : G₀) {b : G₀} (hb : b ≠ 0) : a = a * b * (1 / b) :=
by simp [hb]
lemma ring.inverse_eq_inv (a : G₀) : ring.inverse a = a⁻¹ :=
begin
obtain rfl | ha := eq_or_ne a 0,
{ simp },
{ exact ring.inverse_unit (units.mk0 a ha) }
end
@[simp] lemma ring.inverse_eq_inv' : (ring.inverse : G₀ → G₀) = has_inv.inv :=
funext ring.inverse_eq_inv
/-- Dividing `a` by the result of dividing `a` by itself results in
`a` (whether or not `a` is zero). -/
@[simp] lemma div_div_self (a : G₀) : a / (a / a) = a :=
begin
rw div_div_eq_mul_div,
exact mul_self_div_self a
end
lemma ne_zero_of_one_div_ne_zero {a : G₀} (h : 1 / a ≠ 0) : a ≠ 0 :=
assume ha : a = 0, begin rw [ha, div_zero] at h, contradiction end
lemma eq_zero_of_one_div_eq_zero {a : G₀} (h : 1 / a = 0) : a = 0 :=
classical.by_cases
(assume ha, ha)
(assume ha, ((one_div_ne_zero ha) h).elim)
lemma div_div_div_cancel_right (a : G₀) (hc : c ≠ 0) : (a / c) / (b / c) = a / b :=
by rw [div_div_eq_mul_div, div_mul_cancel _ hc]
lemma div_mul_div_cancel (a : G₀) (hc : c ≠ 0) : (a / c) * (c / b) = a / b :=
by rw [← mul_div_assoc, div_mul_cancel _ hc]
@[field_simps] lemma eq_div_iff (hb : b ≠ 0) : c = a / b ↔ c * b = a :=
eq_div_iff_mul_eq hb
@[field_simps] lemma div_eq_iff (hb : b ≠ 0) : a / b = c ↔ a = c * b :=
(div_eq_iff_mul_eq hb).trans eq_comm
end group_with_zero
section comm_group_with_zero -- comm
variables [comm_group_with_zero G₀] {a b c : G₀}
@[priority 10] -- see Note [lower instance priority]
instance comm_group_with_zero.cancel_comm_monoid_with_zero : cancel_comm_monoid_with_zero G₀ :=
{ ..group_with_zero.cancel_monoid_with_zero, ..comm_group_with_zero.to_comm_monoid_with_zero G₀ }
@[priority 100] -- See note [lower instance priority]
instance comm_group_with_zero.to_division_comm_monoid : division_comm_monoid G₀ :=
{ ..‹comm_group_with_zero G₀›, ..group_with_zero.to_division_monoid }
/-- Pullback a `comm_group_with_zero` class along an injective function.
See note [reducible non-instances]. -/
@[reducible]
protected def function.injective.comm_group_with_zero [has_zero G₀'] [has_mul G₀'] [has_one G₀']
[has_inv G₀'] [has_div G₀'] [has_pow G₀' ℕ] [has_pow G₀' ℤ]
(f : G₀' → G₀) (hf : injective f) (zero : f 0 = 0) (one : f 1 = 1)
(mul : ∀ x y, f (x * y) = f x * f y) (inv : ∀ x, f x⁻¹ = (f x)⁻¹)
(div : ∀ x y, f (x / y) = f x / f y) (npow : ∀ x (n : ℕ), f (x ^ n) = f x ^ n)
(zpow : ∀ x (n : ℤ), f (x ^ n) = f x ^ n) :
comm_group_with_zero G₀' :=
{ .. hf.group_with_zero f zero one mul inv div npow zpow, .. hf.comm_semigroup f mul }
/-- Pushforward a `comm_group_with_zero` class along a surjective function. -/
protected def function.surjective.comm_group_with_zero [has_zero G₀'] [has_mul G₀']
[has_one G₀'] [has_inv G₀'] [has_div G₀'] [has_pow G₀' ℕ] [has_pow G₀' ℤ]
(h01 : (0:G₀') ≠ 1) (f : G₀ → G₀') (hf : surjective f)
(zero : f 0 = 0) (one : f 1 = 1) (mul : ∀ x y, f (x * y) = f x * f y) (inv : ∀ x, f x⁻¹ = (f x)⁻¹)
(div : ∀ x y, f (x / y) = f x / f y) (npow : ∀ x (n : ℕ), f (x ^ n) = f x ^ n)
(zpow : ∀ x (n : ℤ), f (x ^ n) = f x ^ n) :
comm_group_with_zero G₀' :=
{ .. hf.group_with_zero h01 f zero one mul inv div npow zpow, .. hf.comm_semigroup f mul }
lemma div_mul_right {a : G₀} (b : G₀) (ha : a ≠ 0) : a / (a * b) = 1 / b :=
by rw [mul_comm, div_mul_left ha]
lemma mul_div_cancel_left_of_imp {a b : G₀} (h : a = 0 → b = 0) : a * b / a = b :=
by rw [mul_comm, mul_div_cancel_of_imp h]
lemma mul_div_cancel_left {a : G₀} (b : G₀) (ha : a ≠ 0) : a * b / a = b :=
mul_div_cancel_left_of_imp $ λ h, (ha h).elim
lemma mul_div_cancel_of_imp' {a b : G₀} (h : b = 0 → a = 0) : b * (a / b) = a :=
by rw [mul_comm, div_mul_cancel_of_imp h]
lemma mul_div_cancel' (a : G₀) {b : G₀} (hb : b ≠ 0) : b * (a / b) = a :=
by rw [mul_comm, (div_mul_cancel _ hb)]
local attribute [simp] mul_assoc mul_comm mul_left_comm
lemma mul_div_mul_left (a b : G₀) {c : G₀} (hc : c ≠ 0) :
(c * a) / (c * b) = a / b :=
by rw [mul_comm c, mul_comm c, mul_div_mul_right _ _ hc]
lemma mul_eq_mul_of_div_eq_div (a : G₀) {b : G₀} (c : G₀) {d : G₀} (hb : b ≠ 0) (hd : d ≠ 0)
(h : a / b = c / d) : a * d = c * b :=
by rw [←mul_one a, ←div_self hb, ←mul_comm_div, h, div_mul_eq_mul_div, div_mul_cancel _ hd]
lemma div_helper {a : G₀} (b : G₀) (h : a ≠ 0) : (1 / (a * b)) * a = 1 / b :=
by rw [div_mul_eq_mul_div, one_mul, div_mul_right _ h]
end comm_group_with_zero
section comm_group_with_zero
variables [comm_group_with_zero G₀] {a b c d : G₀}
@[field_simps] lemma div_eq_div_iff (hb : b ≠ 0) (hd : d ≠ 0) : a / b = c / d ↔ a * d = c * b :=
calc a / b = c / d ↔ a / b * (b * d) = c / d * (b * d) :
by rw [mul_left_inj' (mul_ne_zero hb hd)]
... ↔ a * d = c * b :
by rw [← mul_assoc, div_mul_cancel _ hb,
← mul_assoc, mul_right_comm, div_mul_cancel _ hd]
lemma div_div_cancel' (ha : a ≠ 0) : a / (a / b) = b :=
by rw [div_eq_mul_inv, inv_div, mul_div_cancel' _ ha]
end comm_group_with_zero
namespace semiconj_by
@[simp] lemma zero_right [mul_zero_class G₀] (a : G₀) : semiconj_by a 0 0 :=
by simp only [semiconj_by, mul_zero, zero_mul]
@[simp] lemma zero_left [mul_zero_class G₀] (x y : G₀) : semiconj_by 0 x y :=
by simp only [semiconj_by, mul_zero, zero_mul]
variables [group_with_zero G₀] {a x y x' y' : G₀}
@[simp] lemma inv_symm_left_iff₀ : semiconj_by a⁻¹ x y ↔ semiconj_by a y x :=
classical.by_cases
(λ ha : a = 0, by simp only [ha, inv_zero, semiconj_by.zero_left])
(λ ha, @units_inv_symm_left_iff _ _ (units.mk0 a ha) _ _)
lemma inv_symm_left₀ (h : semiconj_by a x y) : semiconj_by a⁻¹ y x :=
semiconj_by.inv_symm_left_iff₀.2 h
lemma inv_right₀ (h : semiconj_by a x y) : semiconj_by a x⁻¹ y⁻¹ :=
begin
by_cases ha : a = 0,
{ simp only [ha, zero_left] },
by_cases hx : x = 0,
{ subst x,
simp only [semiconj_by, mul_zero, @eq_comm _ _ (y * a), mul_eq_zero] at h,
simp [h.resolve_right ha] },
{ have := mul_ne_zero ha hx,
rw [h.eq, mul_ne_zero_iff] at this,
exact @units_inv_right _ _ _ (units.mk0 x hx) (units.mk0 y this.1) h },
end
@[simp] lemma inv_right_iff₀ : semiconj_by a x⁻¹ y⁻¹ ↔ semiconj_by a x y :=
⟨λ h, inv_inv x ▸ inv_inv y ▸ h.inv_right₀, inv_right₀⟩
lemma div_right (h : semiconj_by a x y) (h' : semiconj_by a x' y') :
semiconj_by a (x / x') (y / y') :=
by { rw [div_eq_mul_inv, div_eq_mul_inv], exact h.mul_right h'.inv_right₀ }
end semiconj_by
namespace commute
@[simp] theorem zero_right [mul_zero_class G₀] (a : G₀) :commute a 0 := semiconj_by.zero_right a
@[simp] theorem zero_left [mul_zero_class G₀] (a : G₀) : commute 0 a := semiconj_by.zero_left a a
variables [group_with_zero G₀] {a b c : G₀}
@[simp] theorem inv_left_iff₀ : commute a⁻¹ b ↔ commute a b :=
semiconj_by.inv_symm_left_iff₀
theorem inv_left₀ (h : commute a b) : commute a⁻¹ b := inv_left_iff₀.2 h
@[simp] theorem inv_right_iff₀ : commute a b⁻¹ ↔ commute a b :=
semiconj_by.inv_right_iff₀
theorem inv_right₀ (h : commute a b) : commute a b⁻¹ := inv_right_iff₀.2 h
theorem inv_inv₀ (h : commute a b) : commute a⁻¹ b⁻¹ := h.inv_left₀.inv_right₀
@[simp] theorem div_right (hab : commute a b) (hac : commute a c) :
commute a (b / c) :=
hab.div_right hac
@[simp] theorem div_left (hac : commute a c) (hbc : commute b c) :
commute (a / b) c :=
by { rw div_eq_mul_inv, exact hac.mul_left hbc.inv_left₀ }
end commute
namespace monoid_with_zero_hom
variables [group_with_zero G₀] [group_with_zero G₀'] [monoid_with_zero M₀] [nontrivial M₀]
section monoid_with_zero
variables (f : G₀ →*₀ M₀) {a : G₀}
lemma map_ne_zero : f a ≠ 0 ↔ a ≠ 0 :=
⟨λ hfa ha, hfa $ ha.symm ▸ f.map_zero, λ ha, ((is_unit.mk0 a ha).map f.to_monoid_hom).ne_zero⟩
@[simp] lemma map_eq_zero : f a = 0 ↔ a = 0 :=
not_iff_not.1 f.map_ne_zero
end monoid_with_zero
section group_with_zero
variables (f : G₀ →*₀ G₀') (a b : G₀)
/-- A monoid homomorphism between groups with zeros sending `0` to `0` sends `a⁻¹` to `(f a)⁻¹`. -/
@[simp] lemma map_inv : f a⁻¹ = (f a)⁻¹ :=
begin
by_cases h : a = 0, by simp [h],
apply eq_inv_of_mul_eq_one_left,
rw [← f.map_mul, inv_mul_cancel h, f.map_one]
end
@[simp] lemma map_div : f (a / b) = f a / f b :=
by simpa only [div_eq_mul_inv] using ((f.map_mul _ _).trans $ _root_.congr_arg _ $ f.map_inv b)
end group_with_zero
end monoid_with_zero_hom
/-- Inversion on a commutative group with zero, considered as a monoid with zero homomorphism. -/
def inv_monoid_with_zero_hom {G₀ : Type*} [comm_group_with_zero G₀] : G₀ →*₀ G₀ :=
{ to_fun := has_inv.inv,
map_zero' := inv_zero,
map_one' := inv_one,
map_mul' := mul_inv }
@[simp] lemma monoid_hom.map_units_inv {M G₀ : Type*} [monoid M] [group_with_zero G₀]
(f : M →* G₀) (u : Mˣ) : f ↑u⁻¹ = (f u)⁻¹ :=
by rw [← units.coe_map, ← units.coe_map, ← units.coe_inv', monoid_hom.map_inv]
@[simp] lemma monoid_with_zero_hom.map_units_inv {M G₀ : Type*} [monoid_with_zero M]
[group_with_zero G₀] (f : M →*₀ G₀) (u : Mˣ) : f ↑u⁻¹ = (f u)⁻¹ :=
f.to_monoid_hom.map_units_inv u
section noncomputable_defs
variables {M : Type*} [nontrivial M]
/-- Constructs a `group_with_zero` structure on a `monoid_with_zero`
consisting only of units and 0. -/
noncomputable def group_with_zero_of_is_unit_or_eq_zero [hM : monoid_with_zero M]
(h : ∀ (a : M), is_unit a ∨ a = 0) : group_with_zero M :=
{ inv := λ a, if h0 : a = 0 then 0 else ↑((h a).resolve_right h0).unit⁻¹,
inv_zero := dif_pos rfl,
mul_inv_cancel := λ a h0, by
{ change a * (if h0 : a = 0 then 0 else ↑((h a).resolve_right h0).unit⁻¹) = 1,
rw [dif_neg h0, units.mul_inv_eq_iff_eq_mul, one_mul, is_unit.unit_spec] },
exists_pair_ne := nontrivial.exists_pair_ne,
.. hM }
/-- Constructs a `comm_group_with_zero` structure on a `comm_monoid_with_zero`
consisting only of units and 0. -/
noncomputable def comm_group_with_zero_of_is_unit_or_eq_zero [hM : comm_monoid_with_zero M]
(h : ∀ (a : M), is_unit a ∨ a = 0) : comm_group_with_zero M :=
{ .. (group_with_zero_of_is_unit_or_eq_zero h), .. hM }
end noncomputable_defs
|
68283a1ad76986cf8921755d96aedd8e73f8bb73 | 6432ea7a083ff6ba21ea17af9ee47b9c371760f7 | /src/lake/Lake/Build/Executable.lean | 0d0db5afc95d24231a0f4bd992525afdaef3bed4 | [
"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 | 798 | lean | /-
Copyright (c) 2022 Mac Malone. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Mac Malone
-/
import Lake.Build.Common
namespace Lake
/-! # Lean Executable Build
The build function definition for a Lean executable.
-/
protected def LeanExe.recBuildExe
(self : LeanExe) : IndexBuildM (BuildJob FilePath) := do
let imports ← self.root.transImports.fetch
let mut linkJobs := #[← self.root.o.fetch]
for mod in imports do for facet in mod.nativeFacets do
linkJobs := linkJobs.push <| ← fetch <| mod.facet facet.name
let deps := (← fetch <| self.pkg.facet `deps).push self.pkg
for dep in deps do for lib in dep.externLibs do
linkJobs := linkJobs.push <| ← lib.static.fetch
buildLeanExe self.file linkJobs self.linkArgs
|
1fa0df378afbec2b49a40e57578731d259bab0e3 | 74addaa0e41490cbaf2abd313a764c96df57b05d | /Mathlib/order/filter/countable_Inter.lean | b2db96b4a59e97e488fc4910835f273d764c0bbf | [] | 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 | 8,651 | lean | /-
Copyright (c) 2020 Yury G. Kudryashov. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Author: Yury G. Kudryashov
-/
import Mathlib.PrePort
import Mathlib.Lean3Lib.init.default
import Mathlib.order.filter.basic
import Mathlib.data.set.countable
import Mathlib.PostPort
universes u_2 l u_1
namespace Mathlib
/-!
# Filters with countable intersection property
In this file we define `countable_Inter_filter` to be the class of filters with the following
property: for any countable collection of sets `s ∈ l` their intersection belongs to `l` as well.
Two main examples are the `residual` filter defined in `topology.metric_space.baire` and
the `measure.ae` filter defined in `measure_theory.measure_space`.
-/
/-- A filter `l` has the countable intersection property if for any countable collection
of sets `s ∈ l` their intersection belongs to `l` as well. -/
class countable_Inter_filter {α : Type u_2} (l : filter α)
where
countable_sInter_mem_sets' : ∀ {S : set (set α)}, set.countable S → (∀ (s : set α), s ∈ S → s ∈ l) → ⋂₀S ∈ l
theorem countable_sInter_mem_sets {α : Type u_2} {l : filter α} [countable_Inter_filter l] {S : set (set α)} (hSc : set.countable S) : ⋂₀S ∈ l ↔ ∀ (s : set α), s ∈ S → s ∈ l :=
{ mp := fun (hS : ⋂₀S ∈ l) (s : set α) (hs : s ∈ S) => filter.mem_sets_of_superset hS (set.sInter_subset_of_mem hs),
mpr := countable_Inter_filter.countable_sInter_mem_sets' hSc }
theorem countable_Inter_mem_sets {ι : Type u_1} {α : Type u_2} {l : filter α} [countable_Inter_filter l] [encodable ι] {s : ι → set α} : (set.Inter fun (i : ι) => s i) ∈ l ↔ ∀ (i : ι), s i ∈ l :=
set.sInter_range s ▸ iff.trans (countable_sInter_mem_sets (set.countable_range s)) set.forall_range_iff
theorem countable_bInter_mem_sets {ι : Type u_1} {α : Type u_2} {l : filter α} [countable_Inter_filter l] {S : set ι} (hS : set.countable S) {s : (i : ι) → i ∈ S → set α} : (set.Inter fun (i : ι) => set.Inter fun (H : i ∈ S) => s i H) ∈ l ↔ ∀ (i : ι) (H : i ∈ S), s i H ∈ l := sorry
theorem eventually_countable_forall {ι : Type u_1} {α : Type u_2} {l : filter α} [countable_Inter_filter l] [encodable ι] {p : α → ι → Prop} : filter.eventually (fun (x : α) => ∀ (i : ι), p x i) l ↔ ∀ (i : ι), filter.eventually (fun (x : α) => p x i) l := sorry
theorem eventually_countable_ball {ι : Type u_1} {α : Type u_2} {l : filter α} [countable_Inter_filter l] {S : set ι} (hS : set.countable S) {p : α → (i : ι) → i ∈ S → Prop} : filter.eventually (fun (x : α) => ∀ (i : ι) (H : i ∈ S), p x i H) l ↔
∀ (i : ι) (H : i ∈ S), filter.eventually (fun (x : α) => p x i H) l := sorry
theorem eventually_le.countable_Union {ι : Type u_1} {α : Type u_2} {l : filter α} [countable_Inter_filter l] [encodable ι] {s : ι → set α} {t : ι → set α} (h : ∀ (i : ι), filter.eventually_le l (s i) (t i)) : filter.eventually_le l (set.Union fun (i : ι) => s i) (set.Union fun (i : ι) => t i) :=
filter.eventually.mono (iff.mpr eventually_countable_forall h)
fun (x : α) (hst : ∀ (i : ι), s i x ≤ t i x) (hs : set.Union (fun (i : ι) => s i) x) =>
iff.mpr set.mem_Union (Exists.imp hst (iff.mp set.mem_Union hs))
theorem eventually_eq.countable_Union {ι : Type u_1} {α : Type u_2} {l : filter α} [countable_Inter_filter l] [encodable ι] {s : ι → set α} {t : ι → set α} (h : ∀ (i : ι), filter.eventually_eq l (s i) (t i)) : filter.eventually_eq l (set.Union fun (i : ι) => s i) (set.Union fun (i : ι) => t i) :=
filter.eventually_le.antisymm (eventually_le.countable_Union fun (i : ι) => filter.eventually_eq.le (h i))
(eventually_le.countable_Union fun (i : ι) => filter.eventually_eq.le (filter.eventually_eq.symm (h i)))
theorem eventually_le.countable_bUnion {ι : Type u_1} {α : Type u_2} {l : filter α} [countable_Inter_filter l] {S : set ι} (hS : set.countable S) {s : (i : ι) → i ∈ S → set α} {t : (i : ι) → i ∈ S → set α} (h : ∀ (i : ι) (H : i ∈ S), filter.eventually_le l (s i H) (t i H)) : filter.eventually_le l (set.Union fun (i : ι) => set.Union fun (H : i ∈ S) => s i H)
(set.Union fun (i : ι) => set.Union fun (H : i ∈ S) => t i H) := sorry
theorem eventually_eq.countable_bUnion {ι : Type u_1} {α : Type u_2} {l : filter α} [countable_Inter_filter l] {S : set ι} (hS : set.countable S) {s : (i : ι) → i ∈ S → set α} {t : (i : ι) → i ∈ S → set α} (h : ∀ (i : ι) (H : i ∈ S), filter.eventually_eq l (s i H) (t i H)) : filter.eventually_eq l (set.Union fun (i : ι) => set.Union fun (H : i ∈ S) => s i H)
(set.Union fun (i : ι) => set.Union fun (H : i ∈ S) => t i H) := sorry
theorem eventually_le.countable_Inter {ι : Type u_1} {α : Type u_2} {l : filter α} [countable_Inter_filter l] [encodable ι] {s : ι → set α} {t : ι → set α} (h : ∀ (i : ι), filter.eventually_le l (s i) (t i)) : filter.eventually_le l (set.Inter fun (i : ι) => s i) (set.Inter fun (i : ι) => t i) :=
filter.eventually.mono (iff.mpr eventually_countable_forall h)
fun (x : α) (hst : ∀ (i : ι), s i x ≤ t i x) (hs : set.Inter (fun (i : ι) => s i) x) =>
iff.mpr set.mem_Inter fun (i : ι) => hst i (iff.mp set.mem_Inter hs i)
theorem eventually_eq.countable_Inter {ι : Type u_1} {α : Type u_2} {l : filter α} [countable_Inter_filter l] [encodable ι] {s : ι → set α} {t : ι → set α} (h : ∀ (i : ι), filter.eventually_eq l (s i) (t i)) : filter.eventually_eq l (set.Inter fun (i : ι) => s i) (set.Inter fun (i : ι) => t i) :=
filter.eventually_le.antisymm (eventually_le.countable_Inter fun (i : ι) => filter.eventually_eq.le (h i))
(eventually_le.countable_Inter fun (i : ι) => filter.eventually_eq.le (filter.eventually_eq.symm (h i)))
theorem eventually_le.countable_bInter {ι : Type u_1} {α : Type u_2} {l : filter α} [countable_Inter_filter l] {S : set ι} (hS : set.countable S) {s : (i : ι) → i ∈ S → set α} {t : (i : ι) → i ∈ S → set α} (h : ∀ (i : ι) (H : i ∈ S), filter.eventually_le l (s i H) (t i H)) : filter.eventually_le l (set.Inter fun (i : ι) => set.Inter fun (H : i ∈ S) => s i H)
(set.Inter fun (i : ι) => set.Inter fun (H : i ∈ S) => t i H) := sorry
theorem eventually_eq.countable_bInter {ι : Type u_1} {α : Type u_2} {l : filter α} [countable_Inter_filter l] {S : set ι} (hS : set.countable S) {s : (i : ι) → i ∈ S → set α} {t : (i : ι) → i ∈ S → set α} (h : ∀ (i : ι) (H : i ∈ S), filter.eventually_eq l (s i H) (t i H)) : filter.eventually_eq l (set.Inter fun (i : ι) => set.Inter fun (H : i ∈ S) => s i H)
(set.Inter fun (i : ι) => set.Inter fun (H : i ∈ S) => t i H) := sorry
protected instance countable_Inter_filter_principal {α : Type u_2} (s : set α) : countable_Inter_filter (filter.principal s) :=
countable_Inter_filter.mk
fun (S : set (set α)) (hSc : set.countable S) (hS : ∀ (s_1 : set α), s_1 ∈ S → s_1 ∈ filter.principal s) =>
set.subset_sInter hS
protected instance countable_Inter_filter_bot {α : Type u_2} : countable_Inter_filter ⊥ :=
eq.mpr (id (Eq._oldrec (Eq.refl (countable_Inter_filter ⊥)) (Eq.symm filter.principal_empty)))
(Mathlib.countable_Inter_filter_principal ∅)
protected instance countable_Inter_filter_top {α : Type u_2} : countable_Inter_filter ⊤ :=
eq.mpr (id (Eq._oldrec (Eq.refl (countable_Inter_filter ⊤)) (Eq.symm filter.principal_univ)))
(Mathlib.countable_Inter_filter_principal set.univ)
/-- Infimum of two `countable_Inter_filter`s is a `countable_Inter_filter`. This is useful, e.g.,
to automatically get an instance for `residual α ⊓ 𝓟 s`. -/
protected instance countable_Inter_filter_inf {α : Type u_2} (l₁ : filter α) (l₂ : filter α) [countable_Inter_filter l₁] [countable_Inter_filter l₂] : countable_Inter_filter (l₁ ⊓ l₂) := sorry
/-- Supremum of two `countable_Inter_filter`s is a `countable_Inter_filter`. -/
protected instance countable_Inter_filter_sup {α : Type u_2} (l₁ : filter α) (l₂ : filter α) [countable_Inter_filter l₁] [countable_Inter_filter l₂] : countable_Inter_filter (l₁ ⊔ l₂) :=
countable_Inter_filter.mk
fun (S : set (set α)) (hSc : set.countable S) (hS : ∀ (s : set α), s ∈ S → s ∈ l₁ ⊔ l₂) =>
{ left := iff.mpr (countable_sInter_mem_sets hSc) fun (s : set α) (hs : s ∈ S) => and.left (hS s hs),
right := iff.mpr (countable_sInter_mem_sets hSc) fun (s : set α) (hs : s ∈ S) => and.right (hS s hs) }
|
8440c1fea9ce2c724c140811b88f10996aa6a993 | d406927ab5617694ec9ea7001f101b7c9e3d9702 | /src/analysis/normed_space/conformal_linear_map.lean | 9f66f89da2471ee912deff70284269d914129a93 | [
"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 | 3,577 | 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.normed_space.basic
import analysis.normed_space.linear_isometry
/-!
# Conformal Linear Maps
A continuous linear map between `R`-normed spaces `X` and `Y` `is_conformal_map` if it is
a nonzero multiple of a linear isometry.
## Main definitions
* `is_conformal_map`: the main definition of conformal linear maps
## Main results
* The conformality of the composition of two conformal linear maps, the identity map
and multiplications by nonzero constants as continuous linear maps
* `is_conformal_map_of_subsingleton`: all continuous linear maps on singleton spaces are conformal
* `is_conformal_map.preserves_angle`: if a continuous linear map is conformal, then it
preserves all angles in the normed space
See `analysis.normed_space.conformal_linear_map.inner_product` for
* `is_conformal_map_iff`: a map between inner product spaces is conformal
iff it preserves inner products up to a fixed scalar factor.
## Tags
conformal
## Warning
The definition of conformality in this file does NOT require the maps to be orientation-preserving.
-/
noncomputable theory
open function linear_isometry continuous_linear_map
/-- A continuous linear map `f'` is said to be conformal if it's
a nonzero multiple of a linear isometry. -/
def is_conformal_map {R : Type*} {X Y : Type*} [normed_field R]
[seminormed_add_comm_group X] [seminormed_add_comm_group Y] [normed_space R X] [normed_space R Y]
(f' : X →L[R] Y) :=
∃ (c : R) (hc : c ≠ 0) (li : X →ₗᵢ[R] Y), f' = c • li.to_continuous_linear_map
variables {R M N G M' : Type*} [normed_field R]
[seminormed_add_comm_group M] [seminormed_add_comm_group N] [seminormed_add_comm_group G]
[normed_space R M] [normed_space R N] [normed_space R G]
[normed_add_comm_group M'] [normed_space R M']
{f : M →L[R] N} {g : N →L[R] G} {c : R}
lemma is_conformal_map_id : is_conformal_map (id R M) :=
⟨1, one_ne_zero, id, by simp⟩
lemma is_conformal_map.smul (hf : is_conformal_map f) {c : R} (hc : c ≠ 0) :
is_conformal_map (c • f) :=
begin
rcases hf with ⟨c', hc', li, rfl⟩,
exact ⟨c * c', mul_ne_zero hc hc', li, smul_smul _ _ _⟩
end
lemma is_conformal_map_const_smul (hc : c ≠ 0) : is_conformal_map (c • id R M) :=
is_conformal_map_id.smul hc
protected lemma linear_isometry.is_conformal_map (f' : M →ₗᵢ[R] N) :
is_conformal_map f'.to_continuous_linear_map :=
⟨1, one_ne_zero, f', (one_smul _ _).symm⟩
@[nontriviality] lemma is_conformal_map_of_subsingleton [subsingleton M] (f' : M →L[R] N) :
is_conformal_map f' :=
⟨1, one_ne_zero, ⟨0, λ x, by simp [subsingleton.elim x 0]⟩, subsingleton.elim _ _⟩
namespace is_conformal_map
lemma comp (hg : is_conformal_map g) (hf : is_conformal_map f) :
is_conformal_map (g.comp f) :=
begin
rcases hf with ⟨cf, hcf, lif, rfl⟩,
rcases hg with ⟨cg, hcg, lig, rfl⟩,
refine ⟨cg * cf, mul_ne_zero hcg hcf, lig.comp lif, _⟩,
rw [smul_comp, comp_smul, mul_smul],
refl
end
protected lemma injective {f : M' →L[R] N} (h : is_conformal_map f) : function.injective f :=
by { rcases h with ⟨c, hc, li, rfl⟩, exact (smul_right_injective _ hc).comp li.injective }
lemma ne_zero [nontrivial M'] {f' : M' →L[R] N} (hf' : is_conformal_map f') :
f' ≠ 0 :=
begin
rintro rfl,
rcases exists_ne (0 : M') with ⟨a, ha⟩,
exact ha (hf'.injective rfl)
end
end is_conformal_map
|
e998e2711535f2c1fdb116df84eb45599a16144b | 61ccc57f9d72048e493dd6969b56ebd7f0a8f9e8 | /src/analysis/normed_space/basic.lean | 83bb978798ef142f01ecdbdd4c9a813113c1eae7 | [
"Apache-2.0"
] | permissive | jtristan/mathlib | 375b3c8682975df28f79f53efcb7c88840118467 | 8fa8f175271320d675277a672f59ec53abd62f10 | refs/heads/master | 1,651,072,765,551 | 1,588,255,641,000 | 1,588,255,641,000 | null | 0 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 40,740 | lean | /-
Copyright (c) 2018 Patrick Massot. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Patrick Massot, Johannes Hölzl
-/
import topology.instances.nnreal
import topology.instances.complex
import topology.algebra.module
import topology.metric_space.antilipschitz
/-!
# Normed spaces
-/
variables {α : Type*} {β : Type*} {γ : Type*} {ι : Type*}
noncomputable theory
open filter metric
open_locale topological_space
localized "notation f `→_{`:50 a `}`:0 b := filter.tendsto f (_root_.nhds a) (_root_.nhds b)" in filter
/-- Auxiliary class, endowing a type `α` with a function `norm : α → ℝ`. This class is designed to
be extended in more interesting classes specifying the properties of the norm. -/
class has_norm (α : Type*) := (norm : α → ℝ)
export has_norm (norm)
notation `∥`:1024 e:1 `∥`:1 := norm e
section prio
set_option default_priority 100 -- see Note [default priority]
/-- A normed group is an additive group endowed with a norm for which `dist x y = ∥x - y∥` defines
a metric space structure. -/
class normed_group (α : Type*) extends has_norm α, add_comm_group α, metric_space α :=
(dist_eq : ∀ x y, dist x y = norm (x - y))
end prio
/-- Construct a normed group from a translation invariant distance -/
def normed_group.of_add_dist [has_norm α] [add_comm_group α] [metric_space α]
(H1 : ∀ x:α, ∥x∥ = dist x 0)
(H2 : ∀ x y z : α, dist x y ≤ dist (x + z) (y + z)) : normed_group α :=
{ dist_eq := λ x y, begin
rw H1, apply le_antisymm,
{ rw [sub_eq_add_neg, ← add_right_neg y], apply H2 },
{ have := H2 (x-y) 0 y, rwa [sub_add_cancel, zero_add] at this }
end }
/-- Construct a normed group from a translation invariant distance -/
def normed_group.of_add_dist' [has_norm α] [add_comm_group α] [metric_space α]
(H1 : ∀ x:α, ∥x∥ = dist x 0)
(H2 : ∀ x y z : α, dist (x + z) (y + z) ≤ dist x y) : normed_group α :=
{ dist_eq := λ x y, begin
rw H1, apply le_antisymm,
{ have := H2 (x-y) 0 y, rwa [sub_add_cancel, zero_add] at this },
{ rw [sub_eq_add_neg, ← add_right_neg y], apply H2 }
end }
/-- A normed group can be built from a norm that satisfies algebraic properties. This is
formalised in this structure. -/
structure normed_group.core (α : Type*) [add_comm_group α] [has_norm α] : Prop :=
(norm_eq_zero_iff : ∀ x : α, ∥x∥ = 0 ↔ x = 0)
(triangle : ∀ x y : α, ∥x + y∥ ≤ ∥x∥ + ∥y∥)
(norm_neg : ∀ x : α, ∥-x∥ = ∥x∥)
/-- Constructing a normed group from core properties of a norm, i.e., registering the distance and
the metric space structure from the norm properties. -/
noncomputable def normed_group.of_core (α : Type*) [add_comm_group α] [has_norm α]
(C : normed_group.core α) : normed_group α :=
{ dist := λ x y, ∥x - y∥,
dist_eq := assume x y, by refl,
dist_self := assume x, (C.norm_eq_zero_iff (x - x)).mpr (show x - x = 0, by simp),
eq_of_dist_eq_zero := assume x y h, show (x = y), from sub_eq_zero.mp $ (C.norm_eq_zero_iff (x - y)).mp h,
dist_triangle := assume x y z,
calc ∥x - z∥ = ∥x - y + (y - z)∥ : by simp [sub_eq_add_neg]
... ≤ ∥x - y∥ + ∥y - z∥ : C.triangle _ _,
dist_comm := assume x y,
calc ∥x - y∥ = ∥ -(y - x)∥ : by simp
... = ∥y - x∥ : by { rw [C.norm_neg] } }
section normed_group
variables [normed_group α] [normed_group β]
lemma dist_eq_norm (g h : α) : dist g h = ∥g - h∥ :=
normed_group.dist_eq _ _
@[simp] lemma dist_zero_right (g : α) : dist g 0 = ∥g∥ :=
by rw [dist_eq_norm, sub_zero]
lemma norm_sub_rev (g h : α) : ∥g - h∥ = ∥h - g∥ :=
by simpa only [dist_eq_norm] using dist_comm g h
@[simp] lemma norm_neg (g : α) : ∥-g∥ = ∥g∥ :=
by simpa using norm_sub_rev 0 g
@[simp] lemma dist_add_left (g h₁ h₂ : α) : dist (g + h₁) (g + h₂) = dist h₁ h₂ :=
by simp [dist_eq_norm]
@[simp] lemma dist_add_right (g₁ g₂ h : α) : dist (g₁ + h) (g₂ + h) = dist g₁ g₂ :=
by simp [dist_eq_norm]
@[simp] lemma dist_neg_neg (g h : α) : dist (-g) (-h) = dist g h :=
by simp only [dist_eq_norm, neg_sub_neg, norm_sub_rev]
@[simp] lemma dist_sub_left (g h₁ h₂ : α) : dist (g - h₁) (g - h₂) = dist h₁ h₂ :=
by simp only [sub_eq_add_neg, dist_add_left, dist_neg_neg]
@[simp] lemma dist_sub_right (g₁ g₂ h : α) : dist (g₁ - h) (g₂ - h) = dist g₁ g₂ :=
dist_add_right _ _ _
/-- Triangle inequality for the norm. -/
lemma norm_add_le (g h : α) : ∥g + h∥ ≤ ∥g∥ + ∥h∥ :=
by simpa [dist_eq_norm] using dist_triangle g 0 (-h)
lemma norm_add_le_of_le {g₁ g₂ : α} {n₁ n₂ : ℝ} (H₁ : ∥g₁∥ ≤ n₁) (H₂ : ∥g₂∥ ≤ n₂) :
∥g₁ + g₂∥ ≤ n₁ + n₂ :=
le_trans (norm_add_le g₁ g₂) (add_le_add H₁ H₂)
lemma dist_add_add_le (g₁ g₂ h₁ h₂ : α) :
dist (g₁ + g₂) (h₁ + h₂) ≤ dist g₁ h₁ + dist g₂ h₂ :=
by simpa only [dist_add_left, dist_add_right] using dist_triangle (g₁ + g₂) (h₁ + g₂) (h₁ + h₂)
lemma dist_add_add_le_of_le {g₁ g₂ h₁ h₂ : α} {d₁ d₂ : ℝ}
(H₁ : dist g₁ h₁ ≤ d₁) (H₂ : dist g₂ h₂ ≤ d₂) :
dist (g₁ + g₂) (h₁ + h₂) ≤ d₁ + d₂ :=
le_trans (dist_add_add_le g₁ g₂ h₁ h₂) (add_le_add H₁ H₂)
lemma dist_sub_sub_le (g₁ g₂ h₁ h₂ : α) :
dist (g₁ - g₂) (h₁ - h₂) ≤ dist g₁ h₁ + dist g₂ h₂ :=
dist_neg_neg g₂ h₂ ▸ dist_add_add_le _ _ _ _
lemma dist_sub_sub_le_of_le {g₁ g₂ h₁ h₂ : α} {d₁ d₂ : ℝ}
(H₁ : dist g₁ h₁ ≤ d₁) (H₂ : dist g₂ h₂ ≤ d₂) :
dist (g₁ - g₂) (h₁ - h₂) ≤ d₁ + d₂ :=
le_trans (dist_sub_sub_le g₁ g₂ h₁ h₂) (add_le_add H₁ H₂)
lemma abs_dist_sub_le_dist_add_add (g₁ g₂ h₁ h₂ : α) :
abs (dist g₁ h₁ - dist g₂ h₂) ≤ dist (g₁ + g₂) (h₁ + h₂) :=
by simpa only [dist_add_left, dist_add_right, dist_comm h₂]
using abs_dist_sub_le (g₁ + g₂) (h₁ + h₂) (h₁ + g₂)
@[simp] lemma norm_nonneg (g : α) : 0 ≤ ∥g∥ :=
by { rw[←dist_zero_right], exact dist_nonneg }
lemma norm_eq_zero {g : α} : ∥g∥ = 0 ↔ g = 0 :=
dist_zero_right g ▸ dist_eq_zero
@[simp] lemma norm_zero : ∥(0:α)∥ = 0 := norm_eq_zero.2 rfl
lemma norm_sum_le {β} : ∀(s : finset β) (f : β → α), ∥s.sum f∥ ≤ s.sum (λa, ∥ f a ∥) :=
finset.le_sum_of_subadditive norm norm_zero norm_add_le
lemma norm_sum_le_of_le {β} (s : finset β) {f : β → α} {n : β → ℝ} (h : ∀ b ∈ s, ∥f b∥ ≤ n b) :
∥s.sum f∥ ≤ s.sum n :=
by { haveI := classical.dec_eq β, exact le_trans (norm_sum_le s f) (finset.sum_le_sum h) }
lemma norm_pos_iff {g : α} : 0 < ∥ g ∥ ↔ g ≠ 0 :=
dist_zero_right g ▸ dist_pos
lemma norm_le_zero_iff {g : α} : ∥g∥ ≤ 0 ↔ g = 0 :=
by { rw[←dist_zero_right], exact dist_le_zero }
lemma norm_sub_le (g h : α) : ∥g - h∥ ≤ ∥g∥ + ∥h∥ :=
by simpa [dist_eq_norm] using dist_triangle g 0 h
lemma norm_sub_le_of_le {g₁ g₂ : α} {n₁ n₂ : ℝ} (H₁ : ∥g₁∥ ≤ n₁) (H₂ : ∥g₂∥ ≤ n₂) :
∥g₁ - g₂∥ ≤ n₁ + n₂ :=
le_trans (norm_sub_le g₁ g₂) (add_le_add H₁ H₂)
lemma dist_le_norm_add_norm (g h : α) : dist g h ≤ ∥g∥ + ∥h∥ :=
by { rw dist_eq_norm, apply norm_sub_le }
lemma abs_norm_sub_norm_le (g h : α) : abs(∥g∥ - ∥h∥) ≤ ∥g - h∥ :=
by simpa [dist_eq_norm] using abs_dist_sub_le g h 0
lemma norm_sub_norm_le (g h : α) : ∥g∥ - ∥h∥ ≤ ∥g - h∥ :=
le_trans (le_abs_self _) (abs_norm_sub_norm_le g h)
lemma dist_norm_norm_le (g h : α) : dist ∥g∥ ∥h∥ ≤ ∥g - h∥ :=
abs_norm_sub_norm_le g h
lemma ball_0_eq (ε : ℝ) : ball (0:α) ε = {x | ∥x∥ < ε} :=
set.ext $ assume a, by simp
lemma norm_le_of_mem_closed_ball {g h : α} {r : ℝ} (H : h ∈ closed_ball g r) :
∥h∥ ≤ ∥g∥ + r :=
calc
∥h∥ = ∥g + (h - g)∥ : by rw [add_sub_cancel'_right]
... ≤ ∥g∥ + ∥h - g∥ : norm_add_le _ _
... ≤ ∥g∥ + r : by { apply add_le_add_left, rw ← dist_eq_norm, exact H }
lemma norm_lt_of_mem_ball {g h : α} {r : ℝ} (H : h ∈ ball g r) :
∥h∥ < ∥g∥ + r :=
calc
∥h∥ = ∥g + (h - g)∥ : by rw [add_sub_cancel'_right]
... ≤ ∥g∥ + ∥h - g∥ : norm_add_le _ _
... < ∥g∥ + r : by { apply add_lt_add_left, rw ← dist_eq_norm, exact H }
theorem normed_group.tendsto_nhds_zero {f : γ → α} {l : filter γ} :
tendsto f l (𝓝 0) ↔ ∀ ε > 0, ∀ᶠ x in l, ∥ f x ∥ < ε :=
metric.tendsto_nhds.trans $ by simp only [dist_zero_right]
section nnnorm
/-- Version of the norm taking values in nonnegative reals. -/
def nnnorm (a : α) : nnreal := ⟨norm a, norm_nonneg a⟩
@[simp] lemma coe_nnnorm (a : α) : (nnnorm a : ℝ) = norm a := rfl
lemma nndist_eq_nnnorm (a b : α) : nndist a b = nnnorm (a - b) := nnreal.eq $ dist_eq_norm _ _
lemma nnnorm_eq_zero {a : α} : nnnorm a = 0 ↔ a = 0 :=
by simp only [nnreal.eq_iff.symm, nnreal.coe_zero, coe_nnnorm, norm_eq_zero]
@[simp] lemma nnnorm_zero : nnnorm (0 : α) = 0 :=
nnreal.eq norm_zero
lemma nnnorm_add_le (g h : α) : nnnorm (g + h) ≤ nnnorm g + nnnorm h :=
nnreal.coe_le_coe.2 $ norm_add_le g h
@[simp] lemma nnnorm_neg (g : α) : nnnorm (-g) = nnnorm g :=
nnreal.eq $ norm_neg g
lemma nndist_nnnorm_nnnorm_le (g h : α) : nndist (nnnorm g) (nnnorm h) ≤ nnnorm (g - h) :=
nnreal.coe_le_coe.2 $ dist_norm_norm_le g h
lemma of_real_norm_eq_coe_nnnorm (x : β) : ennreal.of_real ∥x∥ = (nnnorm x : ennreal) :=
ennreal.of_real_eq_coe_nnreal _
lemma edist_eq_coe_nnnorm_sub (x y : β) : edist x y = (nnnorm (x - y) : ennreal) :=
by rw [edist_dist, dist_eq_norm, of_real_norm_eq_coe_nnnorm]
lemma edist_eq_coe_nnnorm (x : β) : edist x 0 = (nnnorm x : ennreal) :=
by rw [edist_eq_coe_nnnorm_sub, _root_.sub_zero]
lemma nndist_add_add_le (g₁ g₂ h₁ h₂ : α) :
nndist (g₁ + g₂) (h₁ + h₂) ≤ nndist g₁ h₁ + nndist g₂ h₂ :=
nnreal.coe_le_coe.2 $ dist_add_add_le g₁ g₂ h₁ h₂
lemma edist_add_add_le (g₁ g₂ h₁ h₂ : α) :
edist (g₁ + g₂) (h₁ + h₂) ≤ edist g₁ h₁ + edist g₂ h₂ :=
by { simp only [edist_nndist], norm_cast, apply nndist_add_add_le }
lemma nnnorm_sum_le {β} : ∀(s : finset β) (f : β → α), nnnorm (s.sum f) ≤ s.sum (λa, nnnorm (f a)) :=
finset.le_sum_of_subadditive nnnorm nnnorm_zero nnnorm_add_le
end nnnorm
lemma lipschitz_with.neg {α : Type*} [emetric_space α] {K : nnreal} {f : α → β}
(hf : lipschitz_with K f) : lipschitz_with K (λ x, -f x) :=
λ x y, by simpa only [edist_dist, dist_neg_neg] using hf x y
lemma lipschitz_with.add {α : Type*} [emetric_space α] {Kf : nnreal} {f : α → β}
(hf : lipschitz_with Kf f) {Kg : nnreal} {g : α → β} (hg : lipschitz_with Kg g) :
lipschitz_with (Kf + Kg) (λ x, f x + g x) :=
λ x y,
calc edist (f x + g x) (f y + g y) ≤ edist (f x) (f y) + edist (g x) (g y) :
edist_add_add_le _ _ _ _
... ≤ Kf * edist x y + Kg * edist x y :
add_le_add' (hf x y) (hg x y)
... = (Kf + Kg) * edist x y :
(add_mul _ _ _).symm
lemma lipschitz_with.sub {α : Type*} [emetric_space α] {Kf : nnreal} {f : α → β}
(hf : lipschitz_with Kf f) {Kg : nnreal} {g : α → β} (hg : lipschitz_with Kg g) :
lipschitz_with (Kf + Kg) (λ x, f x - g x) :=
hf.add hg.neg
lemma antilipschitz_with.add_lipschitz_with {α : Type*} [metric_space α] {Kf : nnreal} {f : α → β}
(hf : antilipschitz_with Kf f) {Kg : nnreal} {g : α → β} (hg : lipschitz_with Kg g)
(hK : Kg < Kf⁻¹) :
antilipschitz_with (Kf⁻¹ - Kg)⁻¹ (λ x, f x + g x) :=
begin
refine antilipschitz_with.of_le_mul_dist (λ x y, _),
rw [nnreal.coe_inv, ← div_eq_inv_mul'],
apply le_div_of_mul_le (nnreal.coe_pos.2 $ nnreal.sub_pos.2 hK),
rw [mul_comm, nnreal.coe_sub (le_of_lt hK), sub_mul],
calc ↑Kf⁻¹ * dist x y - Kg * dist x y ≤ dist (f x) (f y) - dist (g x) (g y) :
sub_le_sub (hf.mul_le_dist x y) (hg.dist_le_mul x y)
... ≤ _ : le_trans (le_abs_self _) (abs_dist_sub_le_dist_add_add _ _ _ _)
end
/-- A submodule of a normed group is also a normed group, with the restriction of the norm.
As all instances can be inferred from the submodule `s`, they are put as implicit instead of
typeclasses. -/
instance submodule.normed_group {𝕜 : Type*} {_ : ring 𝕜}
{E : Type*} [normed_group E] {_ : module 𝕜 E} (s : submodule 𝕜 E) : normed_group s :=
{ norm := λx, norm (x : E),
dist_eq := λx y, dist_eq_norm (x : E) (y : E) }
/-- normed group instance on the product of two normed groups, using the sup norm. -/
instance prod.normed_group : normed_group (α × β) :=
{ norm := λx, max ∥x.1∥ ∥x.2∥,
dist_eq := assume (x y : α × β),
show max (dist x.1 y.1) (dist x.2 y.2) = (max ∥(x - y).1∥ ∥(x - y).2∥), by simp [dist_eq_norm] }
lemma norm_fst_le (x : α × β) : ∥x.1∥ ≤ ∥x∥ :=
by simp [norm, le_max_left]
lemma norm_snd_le (x : α × β) : ∥x.2∥ ≤ ∥x∥ :=
by simp [norm, le_max_right]
lemma norm_prod_le_iff {x : α × β} {r : ℝ} :
∥x∥ ≤ r ↔ ∥x.1∥ ≤ r ∧ ∥x.2∥ ≤ r :=
max_le_iff
/-- normed group instance on the product of finitely many normed groups, using the sup norm. -/
instance pi.normed_group {π : ι → Type*} [fintype ι] [∀i, normed_group (π i)] :
normed_group (Πi, π i) :=
{ norm := λf, ((finset.sup finset.univ (λ b, nnnorm (f b)) : nnreal) : ℝ),
dist_eq := assume x y,
congr_arg (coe : nnreal → ℝ) $ congr_arg (finset.sup finset.univ) $ funext $ assume a,
show nndist (x a) (y a) = nnnorm (x a - y a), from nndist_eq_nnnorm _ _ }
/-- The norm of an element in a product space is `≤ r` if and only if the norm of each
component is. -/
lemma pi_norm_le_iff {π : ι → Type*} [fintype ι] [∀i, normed_group (π i)] {r : ℝ} (hr : 0 ≤ r)
{x : Πi, π i} : ∥x∥ ≤ r ↔ ∀i, ∥x i∥ ≤ r :=
by { simp only [(dist_zero_right _).symm, dist_pi_le_iff hr], refl }
lemma norm_le_pi_norm {π : ι → Type*} [fintype ι] [∀i, normed_group (π i)] (x : Πi, π i) (i : ι) :
∥x i∥ ≤ ∥x∥ :=
(pi_norm_le_iff (norm_nonneg x)).1 (le_refl _) i
lemma tendsto_iff_norm_tendsto_zero {f : ι → β} {a : filter ι} {b : β} :
tendsto f a (𝓝 b) ↔ tendsto (λ e, ∥ f e - b ∥) a (𝓝 0) :=
by rw tendsto_iff_dist_tendsto_zero ; simp only [(dist_eq_norm _ _).symm]
lemma tendsto_zero_iff_norm_tendsto_zero {f : γ → β} {a : filter γ} :
tendsto f a (𝓝 0) ↔ tendsto (λ e, ∥ f e ∥) a (𝓝 0) :=
have tendsto f a (𝓝 0) ↔ tendsto (λ e, ∥ f e - 0 ∥) a (𝓝 0) :=
tendsto_iff_norm_tendsto_zero,
by simpa
lemma lim_norm (x : α) : (λg:α, ∥g - x∥) →_{x} 0 :=
tendsto_iff_norm_tendsto_zero.1 (continuous_iff_continuous_at.1 continuous_id x)
lemma lim_norm_zero : (λg:α, ∥g∥) →_{0} 0 :=
by simpa using lim_norm (0:α)
lemma continuous_norm : continuous (λg:α, ∥g∥) :=
begin
rw continuous_iff_continuous_at,
intro x,
rw [continuous_at, tendsto_iff_dist_tendsto_zero],
exact squeeze_zero (λ t, abs_nonneg _) (λ t, abs_norm_sub_norm_le _ _) (lim_norm x)
end
lemma filter.tendsto.norm {β : Type*} {l : filter β} {f : β → α} {a : α} (h : tendsto f l (𝓝 a)) :
tendsto (λ x, ∥f x∥) l (𝓝 ∥a∥) :=
tendsto.comp continuous_norm.continuous_at h
lemma continuous_nnnorm : continuous (nnnorm : α → nnreal) :=
continuous_subtype_mk _ continuous_norm
lemma filter.tendsto.nnnorm {β : Type*} {l : filter β} {f : β → α} {a : α} (h : tendsto f l (𝓝 a)) :
tendsto (λ x, nnnorm (f x)) l (𝓝 (nnnorm a)) :=
tendsto.comp continuous_nnnorm.continuous_at h
/-- If `∥y∥→∞`, then we can assume `y≠x` for any fixed `x`. -/
lemma eventually_ne_of_tendsto_norm_at_top {l : filter γ} {f : γ → α}
(h : tendsto (λ y, ∥f y∥) l at_top) (x : α) :
∀ᶠ y in l, f y ≠ x :=
begin
have : ∀ᶠ y in l, 1 + ∥x∥ ≤ ∥f y∥ := h (mem_at_top (1 + ∥x∥)),
refine this.mono (λ y hy hxy, _),
subst x,
exact not_le_of_lt zero_lt_one (add_le_iff_nonpos_left.1 hy)
end
/-- A normed group is a uniform additive group, i.e., addition and subtraction are uniformly
continuous. -/
@[priority 100] -- see Note [lower instance priority]
instance normed_uniform_group : uniform_add_group α :=
begin
refine ⟨metric.uniform_continuous_iff.2 $ assume ε hε, ⟨ε / 2, half_pos hε, assume a b h, _⟩⟩,
rw [prod.dist_eq, max_lt_iff, dist_eq_norm, dist_eq_norm] at h,
calc dist (a.1 - a.2) (b.1 - b.2) = ∥(a.1 - b.1) - (a.2 - b.2)∥ :
by simp [dist_eq_norm, sub_eq_add_neg]; abel
... ≤ ∥a.1 - b.1∥ + ∥a.2 - b.2∥ : norm_sub_le _ _
... < ε / 2 + ε / 2 : add_lt_add h.1 h.2
... = ε : add_halves _
end
@[priority 100] -- see Note [lower instance priority]
instance normed_top_monoid : topological_add_monoid α := by apply_instance -- short-circuit type class inference
@[priority 100] -- see Note [lower instance priority]
instance normed_top_group : topological_add_group α := by apply_instance -- short-circuit type class inference
end normed_group
section normed_ring
section prio
set_option default_priority 100 -- see Note [default priority]
/-- A normed ring is a ring endowed with a norm which satisfies the inequality `∥x y∥ ≤ ∥x∥ ∥y∥`. -/
class normed_ring (α : Type*) extends has_norm α, ring α, metric_space α :=
(dist_eq : ∀ x y, dist x y = norm (x - y))
(norm_mul : ∀ a b, norm (a * b) ≤ norm a * norm b)
end prio
@[priority 100] -- see Note [lower instance priority]
instance normed_ring.to_normed_group [β : normed_ring α] : normed_group α := { ..β }
lemma norm_mul_le {α : Type*} [normed_ring α] (a b : α) : (∥a*b∥) ≤ (∥a∥) * (∥b∥) :=
normed_ring.norm_mul _ _
lemma norm_pow_le {α : Type*} [normed_ring α] (a : α) : ∀ {n : ℕ}, 0 < n → ∥a^n∥ ≤ ∥a∥^n
| 1 h := by simp
| (n+2) h :=
le_trans (norm_mul_le a (a^(n+1)))
(mul_le_mul (le_refl _)
(norm_pow_le (nat.succ_pos _)) (norm_nonneg _) (norm_nonneg _))
/-- Normed ring structure on the product of two normed rings, using the sup norm. -/
instance prod.normed_ring [normed_ring α] [normed_ring β] : normed_ring (α × β) :=
{ norm_mul := assume x y,
calc
∥x * y∥ = ∥(x.1*y.1, x.2*y.2)∥ : rfl
... = (max ∥x.1*y.1∥ ∥x.2*y.2∥) : rfl
... ≤ (max (∥x.1∥*∥y.1∥) (∥x.2∥*∥y.2∥)) :
max_le_max (norm_mul_le (x.1) (y.1)) (norm_mul_le (x.2) (y.2))
... = (max (∥x.1∥*∥y.1∥) (∥y.2∥*∥x.2∥)) : by simp[mul_comm]
... ≤ (max (∥x.1∥) (∥x.2∥)) * (max (∥y.2∥) (∥y.1∥)) : by { apply max_mul_mul_le_max_mul_max; simp [norm_nonneg] }
... = (max (∥x.1∥) (∥x.2∥)) * (max (∥y.1∥) (∥y.2∥)) : by simp[max_comm]
... = (∥x∥*∥y∥) : rfl,
..prod.normed_group }
end normed_ring
@[priority 100] -- see Note [lower instance priority]
instance normed_ring_top_monoid [normed_ring α] : topological_monoid α :=
⟨ continuous_iff_continuous_at.2 $ λ x, tendsto_iff_norm_tendsto_zero.2 $
have ∀ e : α × α, e.fst * e.snd - x.fst * x.snd =
e.fst * e.snd - e.fst * x.snd + (e.fst * x.snd - x.fst * x.snd), by intro; rw sub_add_sub_cancel,
begin
apply squeeze_zero,
{ intro, apply norm_nonneg },
{ simp only [this], intro, apply norm_add_le },
{ rw ←zero_add (0 : ℝ), apply tendsto.add,
{ apply squeeze_zero,
{ intro, apply norm_nonneg },
{ intro t, show ∥t.fst * t.snd - t.fst * x.snd∥ ≤ ∥t.fst∥ * ∥t.snd - x.snd∥,
rw ←mul_sub, apply norm_mul_le },
{ rw ←mul_zero (∥x.fst∥), apply tendsto.mul,
{ apply continuous_iff_continuous_at.1,
apply continuous_norm.comp continuous_fst },
{ apply tendsto_iff_norm_tendsto_zero.1,
apply continuous_iff_continuous_at.1,
apply continuous_snd }}},
{ apply squeeze_zero,
{ intro, apply norm_nonneg },
{ intro t, show ∥t.fst * x.snd - x.fst * x.snd∥ ≤ ∥t.fst - x.fst∥ * ∥x.snd∥,
rw ←sub_mul, apply norm_mul_le },
{ rw ←zero_mul (∥x.snd∥), apply tendsto.mul,
{ apply tendsto_iff_norm_tendsto_zero.1,
apply continuous_iff_continuous_at.1,
apply continuous_fst },
{ apply tendsto_const_nhds }}}}
end ⟩
/-- A normed ring is a topological ring. -/
@[priority 100] -- see Note [lower instance priority]
instance normed_top_ring [normed_ring α] : topological_ring α :=
⟨ continuous_iff_continuous_at.2 $ λ x, tendsto_iff_norm_tendsto_zero.2 $
have ∀ e : α, -e - -x = -(e - x), by intro; simp,
by simp only [this, norm_neg]; apply lim_norm ⟩
section prio
set_option default_priority 100 -- see Note [default priority]
/-- A normed field is a field with a norm satisfying ∥x y∥ = ∥x∥ ∥y∥. -/
class normed_field (α : Type*) extends has_norm α, field α, metric_space α :=
(dist_eq : ∀ x y, dist x y = norm (x - y))
(norm_mul' : ∀ a b, norm (a * b) = norm a * norm b)
/-- A nondiscrete normed field is a normed field in which there is an element of norm different from
`0` and `1`. This makes it possible to bring any element arbitrarily close to `0` by multiplication
by the powers of any element, and thus to relate algebra and topology. -/
class nondiscrete_normed_field (α : Type*) extends normed_field α :=
(non_trivial : ∃x:α, 1<∥x∥)
end prio
@[priority 100] -- see Note [lower instance priority]
instance normed_field.to_normed_ring [i : normed_field α] : normed_ring α :=
{ norm_mul := by finish [i.norm_mul'], ..i }
namespace normed_field
@[simp] lemma norm_one {α : Type*} [normed_field α] : ∥(1 : α)∥ = 1 :=
have ∥(1 : α)∥ * ∥(1 : α)∥ = ∥(1 : α)∥ * 1, by calc
∥(1 : α)∥ * ∥(1 : α)∥ = ∥(1 : α) * (1 : α)∥ : by rw normed_field.norm_mul'
... = ∥(1 : α)∥ * 1 : by simp,
eq_of_mul_eq_mul_left (ne_of_gt (norm_pos_iff.2 (by simp))) this
@[simp] lemma norm_mul [normed_field α] (a b : α) : ∥a * b∥ = ∥a∥ * ∥b∥ :=
normed_field.norm_mul' a b
instance normed_field.is_monoid_hom_norm [normed_field α] : is_monoid_hom (norm : α → ℝ) :=
{ map_one := norm_one, map_mul := norm_mul }
@[simp] lemma norm_pow [normed_field α] (a : α) : ∀ (n : ℕ), ∥a^n∥ = ∥a∥^n :=
is_monoid_hom.map_pow norm a
@[simp] lemma norm_prod {β : Type*} [normed_field α] (s : finset β) (f : β → α) :
∥s.prod f∥ = s.prod (λb, ∥f b∥) :=
eq.symm (s.prod_hom norm)
@[simp] lemma norm_div {α : Type*} [normed_field α] (a b : α) : ∥a/b∥ = ∥a∥/∥b∥ :=
begin
classical,
by_cases hb : b = 0, {simp [hb]},
apply eq_div_of_mul_eq,
{ apply ne_of_gt, apply norm_pos_iff.mpr hb },
{ rw [←normed_field.norm_mul, div_mul_cancel _ hb] }
end
@[simp] lemma norm_inv {α : Type*} [normed_field α] (a : α) : ∥a⁻¹∥ = ∥a∥⁻¹ :=
by simp only [inv_eq_one_div, norm_div, norm_one]
@[simp] lemma norm_fpow {α : Type*} [normed_field α] (a : α) : ∀n : ℤ,
∥a^n∥ = ∥a∥^n
| (n : ℕ) := norm_pow a n
| -[1+ n] := by simp [fpow_neg_succ_of_nat]
lemma exists_one_lt_norm (α : Type*) [i : nondiscrete_normed_field α] : ∃x : α, 1 < ∥x∥ :=
i.non_trivial
lemma exists_norm_lt_one (α : Type*) [nondiscrete_normed_field α] : ∃x : α, 0 < ∥x∥ ∧ ∥x∥ < 1 :=
begin
rcases exists_one_lt_norm α with ⟨y, hy⟩,
refine ⟨y⁻¹, _, _⟩,
{ simp only [inv_eq_zero, ne.def, norm_pos_iff],
assume h,
rw ← norm_eq_zero at h,
rw h at hy,
exact lt_irrefl _ (lt_trans zero_lt_one hy) },
{ simp [inv_lt_one hy] }
end
lemma exists_lt_norm (α : Type*) [nondiscrete_normed_field α]
(r : ℝ) : ∃ x : α, r < ∥x∥ :=
let ⟨w, hw⟩ := exists_one_lt_norm α in
let ⟨n, hn⟩ := pow_unbounded_of_one_lt r hw in
⟨w^n, by rwa norm_pow⟩
lemma exists_norm_lt (α : Type*) [nondiscrete_normed_field α]
{r : ℝ} (hr : 0 < r) : ∃ x : α, 0 < ∥x∥ ∧ ∥x∥ < r :=
let ⟨w, hw⟩ := exists_one_lt_norm α in
let ⟨n, hle, hlt⟩ := exists_int_pow_near' hr hw in
⟨w^n, by { rw norm_fpow; exact fpow_pos_of_pos (lt_trans zero_lt_one hw) _},
by rwa norm_fpow⟩
lemma punctured_nhds_ne_bot {α : Type*} [nondiscrete_normed_field α] (x : α) :
nhds_within x (-{x}) ≠ ⊥ :=
begin
rw [← mem_closure_iff_nhds_within_ne_bot, metric.mem_closure_iff],
rintros ε ε0,
rcases normed_field.exists_norm_lt α ε0 with ⟨b, hb0, hbε⟩,
refine ⟨x + b, mt (set.mem_singleton_iff.trans add_right_eq_self).1 $ norm_pos_iff.1 hb0, _⟩,
rwa [dist_comm, dist_eq_norm, add_sub_cancel'],
end
lemma tendsto_inv [normed_field α] {r : α} (r0 : r ≠ 0) : tendsto (λq, q⁻¹) (𝓝 r) (𝓝 r⁻¹) :=
begin
refine (nhds_basis_closed_ball.tendsto_iff nhds_basis_closed_ball).2 (λε εpos, _),
let δ := min (ε/2 * ∥r∥^2) (∥r∥/2),
have norm_r_pos : 0 < ∥r∥ := norm_pos_iff.mpr r0,
have A : 0 < ε / 2 * ∥r∥ ^ 2 := mul_pos' (half_pos εpos) (pow_pos norm_r_pos 2),
have δpos : 0 < δ, by simp [half_pos norm_r_pos, A],
refine ⟨δ, δpos, λ x hx, _⟩,
have rx : ∥r∥/2 ≤ ∥x∥ := calc
∥r∥/2 = ∥r∥ - ∥r∥/2 : by ring
... ≤ ∥r∥ - ∥r - x∥ :
begin
apply sub_le_sub (le_refl _),
rw [← dist_eq_norm, dist_comm],
exact le_trans hx (min_le_right _ _)
end
... ≤ ∥r - (r - x)∥ : norm_sub_norm_le r (r - x)
... = ∥x∥ : by simp [sub_sub_cancel],
have norm_x_pos : 0 < ∥x∥ := lt_of_lt_of_le (half_pos norm_r_pos) rx,
have : x⁻¹ - r⁻¹ = (r - x) * x⁻¹ * r⁻¹,
by rw [sub_mul, sub_mul, mul_inv_cancel (norm_pos_iff.mp norm_x_pos), one_mul, mul_comm,
← mul_assoc, inv_mul_cancel r0, one_mul],
calc dist x⁻¹ r⁻¹ = ∥x⁻¹ - r⁻¹∥ : dist_eq_norm _ _
... ≤ ∥r-x∥ * ∥x∥⁻¹ * ∥r∥⁻¹ : by rw [this, norm_mul, norm_mul, norm_inv, norm_inv]
... ≤ (ε/2 * ∥r∥^2) * (2 * ∥r∥⁻¹) * (∥r∥⁻¹) : begin
apply_rules [mul_le_mul, inv_nonneg.2, le_of_lt A, norm_nonneg, inv_nonneg.2, mul_nonneg,
(inv_le_inv norm_x_pos norm_r_pos).2, le_refl],
show ∥r - x∥ ≤ ε / 2 * ∥r∥ ^ 2,
by { rw [← dist_eq_norm, dist_comm], exact le_trans hx (min_le_left _ _) },
show ∥x∥⁻¹ ≤ 2 * ∥r∥⁻¹,
{ convert (inv_le_inv norm_x_pos (half_pos norm_r_pos)).2 rx,
rw [inv_div, div_eq_inv_mul', mul_comm] },
show (0 : ℝ) ≤ 2, by norm_num
end
... = ε * (∥r∥ * ∥r∥⁻¹)^2 : by { generalize : ∥r∥⁻¹ = u, ring }
... = ε : by { rw [mul_inv_cancel (ne.symm (ne_of_lt norm_r_pos))], simp }
end
lemma continuous_on_inv [normed_field α] : continuous_on (λ(x:α), x⁻¹) {x | x ≠ 0} :=
begin
assume x hx,
apply continuous_at.continuous_within_at,
exact (tendsto_inv hx)
end
instance : normed_field ℝ :=
{ norm := λ x, abs x,
dist_eq := assume x y, rfl,
norm_mul' := abs_mul }
instance : nondiscrete_normed_field ℝ :=
{ non_trivial := ⟨2, by { unfold norm, rw abs_of_nonneg; norm_num }⟩ }
end normed_field
/-- If a function converges to a nonzero value, its inverse converges to the inverse of this value.
We use the name `tendsto.inv'` as `tendsto.inv` is already used in multiplicative topological
groups. -/
lemma filter.tendsto.inv' [normed_field α] {l : filter β} {f : β → α} {y : α}
(hy : y ≠ 0) (h : tendsto f l (𝓝 y)) :
tendsto (λx, (f x)⁻¹) l (𝓝 y⁻¹) :=
(normed_field.tendsto_inv hy).comp h
lemma filter.tendsto.div [normed_field α] {l : filter β} {f g : β → α} {x y : α}
(hf : tendsto f l (𝓝 x)) (hg : tendsto g l (𝓝 y)) (hy : y ≠ 0) :
tendsto (λa, f a / g a) l (𝓝 (x / y)) :=
hf.mul (hg.inv' hy)
/-- Continuity at a point of the result of dividing two functions
continuous at that point, where the denominator is nonzero. -/
lemma continuous_at.div [topological_space α] [normed_field β] {f : α → β} {g : α → β} {x : α}
(hf : continuous_at f x) (hg : continuous_at g x) (hnz : g x ≠ 0) :
continuous_at (λ x, f x / g x) x :=
hf.div hg hnz
lemma real.norm_eq_abs (r : ℝ) : norm r = abs r := rfl
@[simp] lemma norm_norm [normed_group α] (x : α) : ∥∥x∥∥ = ∥x∥ :=
by rw [real.norm_eq_abs, abs_of_nonneg (norm_nonneg _)]
@[simp] lemma nnnorm_norm [normed_group α] (a : α) : nnnorm ∥a∥ = nnnorm a :=
by simp only [nnnorm, norm_norm]
instance : normed_ring ℤ :=
{ norm := λ n, ∥(n : ℝ)∥,
norm_mul := λ m n, le_of_eq $ by simp only [norm, int.cast_mul, abs_mul],
dist_eq := λ m n, by simp only [int.dist_eq, norm, int.cast_sub] }
@[norm_cast] lemma int.norm_cast_real (m : ℤ) : ∥(m : ℝ)∥ = ∥m∥ := rfl
instance : normed_field ℚ :=
{ norm := λ r, ∥(r : ℝ)∥,
norm_mul' := λ r₁ r₂, by simp only [norm, rat.cast_mul, abs_mul],
dist_eq := λ r₁ r₂, by simp only [rat.dist_eq, norm, rat.cast_sub] }
instance : nondiscrete_normed_field ℚ :=
{ non_trivial := ⟨2, by { unfold norm, rw abs_of_nonneg; norm_num }⟩ }
@[norm_cast, simp] lemma rat.norm_cast_real (r : ℚ) : ∥(r : ℝ)∥ = ∥r∥ := rfl
@[norm_cast, simp] lemma int.norm_cast_rat (m : ℤ) : ∥(m : ℚ)∥ = ∥m∥ :=
by rw [← rat.norm_cast_real, ← int.norm_cast_real]; congr' 1; norm_cast
section normed_space
section prio
set_option default_priority 100 -- see Note [default priority]
-- see Note[vector space definition] for why we extend `module`.
/-- A normed space over a normed field is a vector space endowed with a norm which satisfies the
equality `∥c • x∥ = ∥c∥ ∥x∥`. -/
class normed_space (α : Type*) (β : Type*) [normed_field α] [normed_group β]
extends module α β :=
(norm_smul : ∀ (a:α) (b:β), norm (a • b) = has_norm.norm a * norm b)
end prio
variables [normed_field α] [normed_group β]
instance normed_field.to_normed_space : normed_space α α :=
{ norm_smul := normed_field.norm_mul }
set_option class.instance_max_depth 43
lemma norm_smul [normed_space α β] (s : α) (x : β) : ∥s • x∥ = ∥s∥ * ∥x∥ :=
normed_space.norm_smul s x
lemma dist_smul [normed_space α β] (s : α) (x y : β) : dist (s • x) (s • y) = ∥s∥ * dist x y :=
by simp only [dist_eq_norm, (norm_smul _ _).symm, smul_sub]
lemma nnnorm_smul [normed_space α β] (s : α) (x : β) : nnnorm (s • x) = nnnorm s * nnnorm x :=
nnreal.eq $ norm_smul s x
lemma nndist_smul [normed_space α β] (s : α) (x y : β) :
nndist (s • x) (s • y) = nnnorm s * nndist x y :=
nnreal.eq $ dist_smul s x y
variables {E : Type*} {F : Type*}
[normed_group E] [normed_space α E] [normed_group F] [normed_space α F]
@[priority 100] -- see Note [lower instance priority]
instance normed_space.topological_vector_space : topological_vector_space α E :=
begin
refine { continuous_smul := continuous_iff_continuous_at.2 $ λ p, tendsto_iff_norm_tendsto_zero.2 _ },
refine squeeze_zero (λ _, norm_nonneg _) _ _,
{ exact λ q, ∥q.1 - p.1∥ * ∥q.2∥ + ∥p.1∥ * ∥q.2 - p.2∥ },
{ intro q,
rw [← sub_add_sub_cancel, ← norm_smul, ← norm_smul, smul_sub, sub_smul],
exact norm_add_le _ _ },
{ conv { congr, skip, skip, congr, rw [← zero_add (0:ℝ)], congr,
rw [← zero_mul ∥p.2∥], skip, rw [← mul_zero ∥p.1∥] },
exact ((tendsto_iff_norm_tendsto_zero.1 (continuous_fst.tendsto p)).mul (continuous_snd.tendsto p).norm).add
(tendsto_const_nhds.mul (tendsto_iff_norm_tendsto_zero.1 (continuous_snd.tendsto p))) }
end
/-- In a normed space over a nondiscrete normed field, only `⊤` submodule has a nonempty interior.
See also `submodule.eq_top_of_nonempty_interior'` for a `topological_module` version. -/
lemma submodule.eq_top_of_nonempty_interior {α E : Type*} [nondiscrete_normed_field α] [normed_group E]
[normed_space α E] (s : submodule α E) (hs : (interior (s:set E)).nonempty) :
s = ⊤ :=
begin
refine s.eq_top_of_nonempty_interior' _ hs,
simp only [is_unit_iff_ne_zero, @ne.def α, set.mem_singleton_iff.symm],
exact normed_field.punctured_nhds_ne_bot _
end
open normed_field
/-- If there is a scalar `c` with `∥c∥>1`, then any element can be moved by scalar multiplication to
any shell of width `∥c∥`. Also recap information on the norm of the rescaling element that shows
up in applications. -/
lemma rescale_to_shell {c : α} (hc : 1 < ∥c∥) {ε : ℝ} (εpos : 0 < ε) {x : E} (hx : x ≠ 0) :
∃d:α, d ≠ 0 ∧ ∥d • x∥ ≤ ε ∧ (ε/∥c∥ ≤ ∥d • x∥) ∧ (∥d∥⁻¹ ≤ ε⁻¹ * ∥c∥ * ∥x∥) :=
begin
have xεpos : 0 < ∥x∥/ε := div_pos_of_pos_of_pos (norm_pos_iff.2 hx) εpos,
rcases exists_int_pow_near xεpos hc with ⟨n, hn⟩,
have cpos : 0 < ∥c∥ := lt_trans (zero_lt_one : (0 :ℝ) < 1) hc,
have cnpos : 0 < ∥c^(n+1)∥ := by { rw norm_fpow, exact lt_trans xεpos hn.2 },
refine ⟨(c^(n+1))⁻¹, _, _, _, _⟩,
show (c ^ (n + 1))⁻¹ ≠ 0,
by rwa [ne.def, inv_eq_zero, ← ne.def, ← norm_pos_iff],
show ∥(c ^ (n + 1))⁻¹ • x∥ ≤ ε,
{ rw [norm_smul, norm_inv, ← div_eq_inv_mul', div_le_iff cnpos, mul_comm, norm_fpow],
exact (div_le_iff εpos).1 (le_of_lt (hn.2)) },
show ε / ∥c∥ ≤ ∥(c ^ (n + 1))⁻¹ • x∥,
{ rw [div_le_iff cpos, norm_smul, norm_inv, norm_fpow, fpow_add (ne_of_gt cpos),
fpow_one, mul_inv', mul_comm, ← mul_assoc, ← mul_assoc, mul_inv_cancel (ne_of_gt cpos),
one_mul, ← div_eq_inv_mul', le_div_iff (fpow_pos_of_pos cpos _), mul_comm],
exact (le_div_iff εpos).1 hn.1 },
show ∥(c ^ (n + 1))⁻¹∥⁻¹ ≤ ε⁻¹ * ∥c∥ * ∥x∥,
{ have : ε⁻¹ * ∥c∥ * ∥x∥ = ε⁻¹ * ∥x∥ * ∥c∥, by ring,
rw [norm_inv, inv_inv', norm_fpow, fpow_add (ne_of_gt cpos), fpow_one, this, ← div_eq_inv_mul'],
exact mul_le_mul_of_nonneg_right hn.1 (norm_nonneg _) }
end
/-- The product of two normed spaces is a normed space, with the sup norm. -/
instance : normed_space α (E × F) :=
{ norm_smul :=
begin
intros s x,
cases x with x₁ x₂,
change max (∥s • x₁∥) (∥s • x₂∥) = ∥s∥ * max (∥x₁∥) (∥x₂∥),
rw [norm_smul, norm_smul, ← mul_max_of_nonneg _ _ (norm_nonneg _)]
end,
add_smul := λ r x y, prod.ext (add_smul _ _ _) (add_smul _ _ _),
smul_add := λ r x y, prod.ext (smul_add _ _ _) (smul_add _ _ _),
..prod.normed_group,
..prod.module }
/-- The product of finitely many normed spaces is a normed space, with the sup norm. -/
instance pi.normed_space {E : ι → Type*} [fintype ι] [∀i, normed_group (E i)]
[∀i, normed_space α (E i)] : normed_space α (Πi, E i) :=
{ norm_smul := λ a f,
show (↑(finset.sup finset.univ (λ (b : ι), nnnorm (a • f b))) : ℝ) =
nnnorm a * ↑(finset.sup finset.univ (λ (b : ι), nnnorm (f b))),
by simp only [(nnreal.coe_mul _ _).symm, nnreal.mul_finset_sup, nnnorm_smul] }
/-- A subspace of a normed space is also a normed space, with the restriction of the norm. -/
instance submodule.normed_space {𝕜 : Type*} [normed_field 𝕜]
{E : Type*} [normed_group E] [normed_space 𝕜 E] (s : submodule 𝕜 E) : normed_space 𝕜 s :=
{ norm_smul := λc x, norm_smul c (x : E) }
end normed_space
section normed_algebra
section prio
set_option default_priority 100 -- see Note [default priority]
/-- A normed algebra `𝕜'` over `𝕜` is an algebra endowed with a norm for which the embedding of
`𝕜` in `𝕜'` is an isometry. -/
class normed_algebra (𝕜 : Type*) (𝕜' : Type*) [normed_field 𝕜] [normed_ring 𝕜']
extends algebra 𝕜 𝕜' :=
(norm_algebra_map_eq : ∀x:𝕜, ∥algebra_map 𝕜 𝕜' x∥ = ∥x∥)
end prio
@[simp] lemma norm_algebra_map_eq {𝕜 : Type*} (𝕜' : Type*) [normed_field 𝕜] [normed_ring 𝕜']
[h : normed_algebra 𝕜 𝕜'] (x : 𝕜) : ∥algebra_map 𝕜 𝕜' x∥ = ∥x∥ :=
normed_algebra.norm_algebra_map_eq _
end normed_algebra
section restrict_scalars
set_option class.instance_max_depth 40
variables (𝕜 : Type*) (𝕜' : Type*) [normed_field 𝕜] [normed_field 𝕜'] [normed_algebra 𝕜 𝕜']
{E : Type*} [normed_group E] [normed_space 𝕜' E]
/-- `𝕜`-normed space structure induced by a `𝕜'`-normed space structure when `𝕜'` is a
normed algebra over `𝕜`. Not registered as an instance as `𝕜'` can not be inferred. -/
def normed_space.restrict_scalars : normed_space 𝕜 E :=
{ norm_smul := λc x, begin
change ∥(algebra_map 𝕜 𝕜' c) • x∥ = ∥c∥ * ∥x∥,
simp [norm_smul]
end,
..module.restrict_scalars 𝕜 𝕜' E }
end restrict_scalars
section summable
open_locale classical
open finset filter
variables [normed_group α]
@[nolint ge_or_gt] -- see Note [nolint_ge]
lemma cauchy_seq_finset_iff_vanishing_norm {f : ι → α} :
cauchy_seq (λ s : finset ι, s.sum f) ↔ ∀ε > 0, ∃s:finset ι, ∀t, disjoint t s → ∥ t.sum f ∥ < ε :=
begin
simp only [cauchy_seq_finset_iff_vanishing, metric.mem_nhds_iff, exists_imp_distrib],
split,
{ assume h ε hε, refine h {x | ∥x∥ < ε} ε hε _, rw [ball_0_eq ε] },
{ assume h s ε hε hs,
rcases h ε hε with ⟨t, ht⟩,
refine ⟨t, assume u hu, hs _⟩,
rw [ball_0_eq],
exact ht u hu }
end
@[nolint ge_or_gt] -- see Note [nolint_ge]
lemma summable_iff_vanishing_norm [complete_space α] {f : ι → α} :
summable f ↔ ∀ε > 0, ∃s:finset ι, ∀t, disjoint t s → ∥ t.sum f ∥ < ε :=
by rw [summable_iff_cauchy_seq_finset, cauchy_seq_finset_iff_vanishing_norm]
lemma cauchy_seq_finset_of_norm_bounded {f : ι → α} (g : ι → ℝ) (hg : summable g)
(h : ∀i, ∥f i∥ ≤ g i) : cauchy_seq (λ s : finset ι, s.sum f) :=
cauchy_seq_finset_iff_vanishing_norm.2 $ assume ε hε,
let ⟨s, hs⟩ := summable_iff_vanishing_norm.1 hg ε hε in
⟨s, assume t ht,
have ∥t.sum g∥ < ε := hs t ht,
have nn : 0 ≤ t.sum g := finset.sum_nonneg (assume a _, le_trans (norm_nonneg _) (h a)),
lt_of_le_of_lt (norm_sum_le_of_le t (λ i _, h i)) $
by rwa [real.norm_eq_abs, abs_of_nonneg nn] at this⟩
lemma cauchy_seq_finset_of_summable_norm {f : ι → α} (hf : summable (λa, ∥f a∥)) :
cauchy_seq (λ s : finset ι, s.sum f) :=
cauchy_seq_finset_of_norm_bounded _ hf (assume i, le_refl _)
/-- If a function `f` is summable in norm, and along some sequence of finsets exhausting the space
its sum is converging to a limit `a`, then this holds along all finsets, i.e., `f` is summable
with sum `a`. -/
lemma has_sum_of_subseq_of_summable {f : ι → α} (hf : summable (λa, ∥f a∥))
{s : β → finset ι} {p : filter β} (hp : p ≠ ⊥)
(hs : tendsto s p at_top) {a : α} (ha : tendsto (λ b, (s b).sum f) p (𝓝 a)) :
has_sum f a :=
tendsto_nhds_of_cauchy_seq_of_subseq (cauchy_seq_finset_of_summable_norm hf) hp hs ha
/-- If `∑' i, ∥f i∥` is summable, then `∥(∑' i, f i)∥ ≤ (∑' i, ∥f i∥)`. Note that we do not assume that
`∑' i, f i` is summable, and it might not be the case if `α` is not a complete space. -/
lemma norm_tsum_le_tsum_norm {f : ι → α} (hf : summable (λi, ∥f i∥)) : ∥(∑'i, f i)∥ ≤ (∑' i, ∥f i∥) :=
begin
by_cases h : summable f,
{ have h₁ : tendsto (λs:finset ι, ∥s.sum f∥) at_top (𝓝 ∥(∑' i, f i)∥) :=
(continuous_norm.tendsto _).comp h.has_sum,
have h₂ : tendsto (λs:finset ι, s.sum (λi, ∥f i∥)) at_top (𝓝 (∑' i, ∥f i∥)) :=
hf.has_sum,
exact le_of_tendsto_of_tendsto' at_top_ne_bot h₁ h₂ (assume s, norm_sum_le _ _) },
{ rw tsum_eq_zero_of_not_summable h,
simp [tsum_nonneg] }
end
variable [complete_space α]
lemma summable_of_norm_bounded {f : ι → α} (g : ι → ℝ) (hg : summable g) (h : ∀i, ∥f i∥ ≤ g i) :
summable f :=
by { rw summable_iff_cauchy_seq_finset, exact cauchy_seq_finset_of_norm_bounded g hg h }
lemma summable_of_nnnorm_bounded {f : ι → α} (g : ι → nnreal) (hg : summable g)
(h : ∀i, nnnorm (f i) ≤ g i) : summable f :=
summable_of_norm_bounded (λ i, (g i : ℝ)) (nnreal.summable_coe.2 hg) (λ i, by exact_mod_cast h i)
lemma summable_of_summable_norm {f : ι → α} (hf : summable (λa, ∥f a∥)) : summable f :=
summable_of_norm_bounded _ hf (assume i, le_refl _)
lemma summable_of_summable_nnnorm {f : ι → α} (hf : summable (λa, nnnorm (f a))) : summable f :=
summable_of_nnnorm_bounded _ hf (assume i, le_refl _)
end summable
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"Apache-2.0"
] | permissive | lambdaxymox/lean | e06f0fa503666df827edd9867d7f49ca017aae64 | fc13c8c72a15dab71a2c2b31410c2cadc3526bd7 | refs/heads/master | 1,666,785,407,985 | 1,666,153,673,000 | 1,666,153,673,000 | 310,165,986 | 0 | 0 | Apache-2.0 | 1,604,542,096,000 | 1,604,542,095,000 | null | UTF-8 | Lean | false | false | 10,514 | lean | /-
Copyright (c) 2016 Microsoft Corporation. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Leonardo de Moura
-/
prelude
import init.logic init.classical init.meta.name init.algebra.classes
/- Make sure instances defined in this file have lower priority than the ones
defined for concrete structures -/
set_option default_priority 100
set_option old_structure_cmd true
universe u
variables {α : Type u}
set_option auto_param.check_exists false
section preorder
/-!
### Definition of `preorder` and lemmas about types with a `preorder`
-/
/-- A preorder is a reflexive, transitive relation `≤` with `a < b` defined in the obvious way. -/
class preorder (α : Type u) extends has_le α, has_lt α :=
(le_refl : ∀ a : α, a ≤ a)
(le_trans : ∀ a b c : α, a ≤ b → b ≤ c → a ≤ c)
(lt := λ a b, a ≤ b ∧ ¬ b ≤ a)
(lt_iff_le_not_le : ∀ a b : α, a < b ↔ (a ≤ b ∧ ¬ b ≤ a) . order_laws_tac)
variables [preorder α]
/-- The relation `≤` on a preorder is reflexive. -/
@[refl] lemma le_refl : ∀ a : α, a ≤ a :=
preorder.le_refl
/-- The relation `≤` on a preorder is transitive. -/
@[trans] lemma le_trans : ∀ {a b c : α}, a ≤ b → b ≤ c → a ≤ c :=
preorder.le_trans
lemma lt_iff_le_not_le : ∀ {a b : α}, a < b ↔ (a ≤ b ∧ ¬ b ≤ a) :=
preorder.lt_iff_le_not_le
lemma lt_of_le_not_le : ∀ {a b : α}, a ≤ b → ¬ b ≤ a → a < b
| a b hab hba := lt_iff_le_not_le.mpr ⟨hab, hba⟩
lemma le_not_le_of_lt : ∀ {a b : α}, a < b → a ≤ b ∧ ¬ b ≤ a
| a b hab := lt_iff_le_not_le.mp hab
lemma le_of_eq {a b : α} : a = b → a ≤ b :=
λ h, h ▸ le_refl a
@[trans] lemma ge_trans : ∀ {a b c : α}, a ≥ b → b ≥ c → a ≥ c :=
λ a b c h₁ h₂, le_trans h₂ h₁
lemma lt_irrefl : ∀ a : α, ¬ a < a
| a haa := match le_not_le_of_lt haa with
| ⟨h1, h2⟩ := false.rec _ (h2 h1)
end
lemma gt_irrefl : ∀ a : α, ¬ a > a :=
lt_irrefl
@[trans] lemma lt_trans : ∀ {a b c : α}, a < b → b < c → a < c
| a b c hab hbc :=
match le_not_le_of_lt hab, le_not_le_of_lt hbc with
| ⟨hab, hba⟩, ⟨hbc, hcb⟩ := lt_of_le_not_le (le_trans hab hbc) (λ hca, hcb (le_trans hca hab))
end
@[trans] lemma gt_trans : ∀ {a b c : α}, a > b → b > c → a > c :=
λ a b c h₁ h₂, lt_trans h₂ h₁
lemma ne_of_lt {a b : α} (h : a < b) : a ≠ b :=
λ he, absurd h (he ▸ lt_irrefl a)
lemma ne_of_gt {a b : α} (h : b < a) : a ≠ b :=
λ he, absurd h (he ▸ lt_irrefl a)
lemma lt_asymm {a b : α} (h : a < b) : ¬ b < a :=
λ h1 : b < a, lt_irrefl a (lt_trans h h1)
lemma le_of_lt : ∀ {a b : α}, a < b → a ≤ b
| a b hab := (le_not_le_of_lt hab).left
@[trans] lemma lt_of_lt_of_le : ∀ {a b c : α}, a < b → b ≤ c → a < c
| a b c hab hbc :=
let ⟨hab, hba⟩ := le_not_le_of_lt hab in
lt_of_le_not_le (le_trans hab hbc) $ λ hca, hba (le_trans hbc hca)
@[trans] lemma lt_of_le_of_lt : ∀ {a b c : α}, a ≤ b → b < c → a < c
| a b c hab hbc :=
let ⟨hbc, hcb⟩ := le_not_le_of_lt hbc in
lt_of_le_not_le (le_trans hab hbc) $ λ hca, hcb (le_trans hca hab)
@[trans] lemma gt_of_gt_of_ge {a b c : α} (h₁ : a > b) (h₂ : b ≥ c) : a > c :=
lt_of_le_of_lt h₂ h₁
@[trans] lemma gt_of_ge_of_gt {a b c : α} (h₁ : a ≥ b) (h₂ : b > c) : a > c :=
lt_of_lt_of_le h₂ h₁
lemma not_le_of_gt {a b : α} (h : a > b) : ¬ a ≤ b :=
(le_not_le_of_lt h).right
lemma not_lt_of_ge {a b : α} (h : a ≥ b) : ¬ a < b :=
λ hab, not_le_of_gt hab h
lemma le_of_lt_or_eq : ∀ {a b : α}, (a < b ∨ a = b) → a ≤ b
| a b (or.inl hab) := le_of_lt hab
| a b (or.inr hab) := hab ▸ le_refl _
lemma le_of_eq_or_lt {a b : α} (h : a = b ∨ a < b) : a ≤ b :=
or.elim h le_of_eq le_of_lt
/-- `<` is decidable if `≤` is. -/
def decidable_lt_of_decidable_le [@decidable_rel α (≤)] : @decidable_rel α (<)
| a b :=
if hab : a ≤ b then
if hba : b ≤ a then
is_false $ λ hab', not_le_of_gt hab' hba
else
is_true $ lt_of_le_not_le hab hba
else
is_false $ λ hab', hab (le_of_lt hab')
end preorder
section partial_order
/-!
### Definition of `partial_order` and lemmas about types with a partial order
-/
/-- A partial order is a reflexive, transitive, antisymmetric relation `≤`. -/
class partial_order (α : Type u) extends preorder α :=
(le_antisymm : ∀ a b : α, a ≤ b → b ≤ a → a = b)
variables [partial_order α]
lemma le_antisymm : ∀ {a b : α}, a ≤ b → b ≤ a → a = b :=
partial_order.le_antisymm
lemma le_antisymm_iff {a b : α} : a = b ↔ a ≤ b ∧ b ≤ a :=
⟨λe, ⟨le_of_eq e, le_of_eq e.symm⟩, λ⟨h1, h2⟩, le_antisymm h1 h2⟩
lemma lt_of_le_of_ne {a b : α} : a ≤ b → a ≠ b → a < b :=
λ h₁ h₂, lt_of_le_not_le h₁ $ mt (le_antisymm h₁) h₂
/-- Equality is decidable if `≤` is. -/
def decidable_eq_of_decidable_le [@decidable_rel α (≤)] : decidable_eq α
| a b :=
if hab : a ≤ b then
if hba : b ≤ a then
is_true (le_antisymm hab hba)
else
is_false (λ heq, hba (heq ▸ le_refl _))
else
is_false (λ heq, hab (heq ▸ le_refl _))
namespace decidable
variables [@decidable_rel α (≤)]
lemma lt_or_eq_of_le {a b : α} (hab : a ≤ b) : a < b ∨ a = b :=
if hba : b ≤ a then or.inr (le_antisymm hab hba)
else or.inl (lt_of_le_not_le hab hba)
lemma eq_or_lt_of_le {a b : α} (hab : a ≤ b) : a = b ∨ a < b :=
(lt_or_eq_of_le hab).swap
lemma le_iff_lt_or_eq {a b : α} : a ≤ b ↔ a < b ∨ a = b :=
⟨lt_or_eq_of_le, le_of_lt_or_eq⟩
end decidable
local attribute [instance] classical.prop_decidable
lemma lt_or_eq_of_le {a b : α} : a ≤ b → a < b ∨ a = b := decidable.lt_or_eq_of_le
lemma le_iff_lt_or_eq {a b : α} : a ≤ b ↔ a < b ∨ a = b := decidable.le_iff_lt_or_eq
end partial_order
section linear_order
/-!
### Definition of `linear_order` and lemmas about types with a linear order
-/
/-- Default definition of `max`. -/
def max_default {α : Type u} [has_le α] [decidable_rel ((≤) : α → α → Prop)] (a b : α) :=
if b ≤ a then a else b
/-- Default definition of `min`. -/
def min_default {α : Type u} [has_le α] [decidable_rel ((≤) : α → α → Prop)] (a b : α) :=
if a ≤ b then a else b
/-- A linear order is reflexive, transitive, antisymmetric and total relation `≤`.
We assume that every linear ordered type has decidable `(≤)`, `(<)`, and `(=)`. -/
class linear_order (α : Type u) extends partial_order α :=
(le_total : ∀ a b : α, a ≤ b ∨ b ≤ a)
(decidable_le : decidable_rel (≤))
(decidable_eq : decidable_eq α := @decidable_eq_of_decidable_le _ _ decidable_le)
(decidable_lt : decidable_rel ((<) : α → α → Prop) :=
@decidable_lt_of_decidable_le _ _ decidable_le)
(max : α → α → α := @max_default α _ _)
(max_def : max = @max_default α _ decidable_le . tactic.interactive.reflexivity)
(min : α → α → α := @min_default α _ _)
(min_def : min = @min_default α _ decidable_le . tactic.interactive.reflexivity)
variables [linear_order α]
local attribute [instance] linear_order.decidable_le
lemma le_total : ∀ a b : α, a ≤ b ∨ b ≤ a :=
linear_order.le_total
lemma le_of_not_ge {a b : α} : ¬ a ≥ b → a ≤ b :=
or.resolve_left (le_total b a)
lemma le_of_not_le {a b : α} : ¬ a ≤ b → b ≤ a :=
or.resolve_left (le_total a b)
lemma not_lt_of_gt {a b : α} (h : a > b) : ¬ a < b :=
lt_asymm h
lemma lt_trichotomy (a b : α) : a < b ∨ a = b ∨ b < a :=
or.elim (le_total a b)
(λ h : a ≤ b, or.elim (decidable.lt_or_eq_of_le h)
(λ h : a < b, or.inl h)
(λ h : a = b, or.inr (or.inl h)))
(λ h : b ≤ a, or.elim (decidable.lt_or_eq_of_le h)
(λ h : b < a, or.inr (or.inr h))
(λ h : b = a, or.inr (or.inl h.symm)))
lemma le_of_not_lt {a b : α} (h : ¬ b < a) : a ≤ b :=
match lt_trichotomy a b with
| or.inl hlt := le_of_lt hlt
| or.inr (or.inl heq) := heq ▸ le_refl a
| or.inr (or.inr hgt) := absurd hgt h
end
lemma le_of_not_gt {a b : α} : ¬ a > b → a ≤ b := le_of_not_lt
lemma lt_of_not_ge {a b : α} (h : ¬ a ≥ b) : a < b :=
lt_of_le_not_le ((le_total _ _).resolve_right h) h
lemma lt_or_le (a b : α) : a < b ∨ b ≤ a :=
if hba : b ≤ a then or.inr hba else or.inl $ lt_of_not_ge hba
lemma le_or_lt (a b : α) : a ≤ b ∨ b < a :=
(lt_or_le b a).swap
lemma lt_or_ge : ∀ (a b : α), a < b ∨ a ≥ b := lt_or_le
lemma le_or_gt : ∀ (a b : α), a ≤ b ∨ a > b := le_or_lt
lemma lt_or_gt_of_ne {a b : α} (h : a ≠ b) : a < b ∨ a > b :=
match lt_trichotomy a b with
| or.inl hlt := or.inl hlt
| or.inr (or.inl heq) := absurd heq h
| or.inr (or.inr hgt) := or.inr hgt
end
lemma ne_iff_lt_or_gt {a b : α} : a ≠ b ↔ a < b ∨ a > b :=
⟨lt_or_gt_of_ne, λo, or.elim o ne_of_lt ne_of_gt⟩
lemma lt_iff_not_ge (x y : α) : x < y ↔ ¬ x ≥ y :=
⟨not_le_of_gt, lt_of_not_ge⟩
@[simp] lemma not_lt {a b : α} : ¬ a < b ↔ b ≤ a := ⟨le_of_not_gt, not_lt_of_ge⟩
@[simp] lemma not_le {a b : α} : ¬ a ≤ b ↔ b < a := (lt_iff_not_ge _ _).symm
instance (a b : α) : decidable (a < b) :=
linear_order.decidable_lt a b
instance (a b : α) : decidable (a ≤ b) :=
linear_order.decidable_le a b
instance (a b : α) : decidable (a = b) :=
linear_order.decidable_eq a b
lemma eq_or_lt_of_not_lt {a b : α} (h : ¬ a < b) : a = b ∨ b < a :=
if h₁ : a = b then or.inl h₁
else or.inr (lt_of_not_ge (λ hge, h (lt_of_le_of_ne hge h₁)))
instance : is_total_preorder α (≤) :=
{trans := @le_trans _ _, total := le_total}
/- TODO(Leo): decide whether we should keep this instance or not -/
instance is_strict_weak_order_of_linear_order : is_strict_weak_order α (<) :=
is_strict_weak_order_of_is_total_preorder lt_iff_not_ge
/- TODO(Leo): decide whether we should keep this instance or not -/
instance is_strict_total_order_of_linear_order : is_strict_total_order α (<) :=
{ trichotomous := lt_trichotomy }
/-- Perform a case-split on the ordering of `x` and `y` in a decidable linear order. -/
def lt_by_cases (x y : α) {P : Sort*}
(h₁ : x < y → P) (h₂ : x = y → P) (h₃ : y < x → P) : P :=
if h : x < y then h₁ h else
if h' : y < x then h₃ h' else
h₂ (le_antisymm (le_of_not_gt h') (le_of_not_gt h))
lemma le_imp_le_of_lt_imp_lt {β} [preorder α] [linear_order β]
{a b : α} {c d : β} (H : d < c → b < a) (h : a ≤ b) : c ≤ d :=
le_of_not_lt $ λ h', not_le_of_gt (H h') h
end linear_order
|
55d8cb80eb4da9b2a0b12dac12e35ac14b470bf4 | 618003631150032a5676f229d13a079ac875ff77 | /src/tactic/omega/term.lean | 7e79f969715a59e139f6cf42d88804715146871d | [
"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 | 2,683 | lean | /- Copyright (c) 2019 Seul Baek. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Author: Seul Baek
Normalized linear integer arithmetic terms. -/
import tactic.omega.coeffs
namespace omega
/-- Shadow syntax of normalized terms. The first element
represents the constant term and the list represents
the coefficients. -/
@[derive inhabited]
def term : Type := int × list int
namespace term
/-- Evaluate a term using the valuation v. -/
@[simp] def val (v : nat → int) : term → int
| (b,as) := b + coeffs.val v as
@[simp] def neg : term → term
| (b,as) := (-b, list.func.neg as)
@[simp] def add : term → term → term
| (c1,cfs1) (c2,cfs2) := (c1+c2, list.func.add cfs1 cfs2)
@[simp] def sub : term → term → term
| (c1,cfs1) (c2,cfs2) := (c1 - c2, list.func.sub cfs1 cfs2)
@[simp] def mul (i : int) : term → term
| (b,as) := (i * b, as.map ((*) i))
@[simp] def div (i : int) : term → term
| (b,as) := (b/i, as.map (λ x, x / i))
lemma val_neg {v : nat → int} {t : term} :
(neg t).val v = -(t.val v) :=
begin
cases t with b as,
simp only [val, neg_add, neg, val, coeffs.val_neg]
end
@[simp] lemma val_sub {v : nat → int} {t1 t2 : term} :
(sub t1 t2).val v = t1.val v - t2.val v :=
begin
cases t1, cases t2,
simp only [add_assoc, coeffs.val_sub, neg_add_rev,
val, sub, add_comm, add_left_comm, sub_eq_add_neg]
end
@[simp] lemma val_add {v : nat → int} {t1 t2 : term} :
(add t1 t2).val v = t1.val v + t2.val v :=
begin
cases t1, cases t2,
simp only [coeffs.val_add, add,
val, add_comm, add_left_comm]
end
@[simp] lemma val_mul {v : nat → int} {i : int} {t : term} :
val v (mul i t) = i * (val v t) :=
begin
cases t,
simp only [mul, mul_add, add_mul, list.length_map,
coeffs.val, coeffs.val_between_map_mul, val, list.map]
end
lemma val_div {v : nat → int} {i b : int} {as : list int} :
i ∣ b → (∀ x ∈ as, i ∣ x) → (div i (b,as)).val v = (val v (b,as)) / i :=
begin
intros h1 h2, simp only [val, div, list.map],
rw [int.add_div_of_dvd h1 (coeffs.dvd_val h2)],
apply fun_mono_2 rfl,
rw ← coeffs.val_map_div h2
end
/-- Fresh de Brujin index not used by any variable ocurring in the term -/
def fresh_index (t : term) : nat := t.snd.length
def to_string (t : term) : string :=
t.2.enum.foldr (λ ⟨i, n⟩ r,
to_string n ++ " * x" ++ to_string i ++ " + " ++ r) (to_string t.1)
instance : has_to_string term := ⟨to_string⟩
end term
/-- Fresh de Brujin index not used by any variable ocurring in the list of terms -/
def terms.fresh_index : list term → nat
| [] := 0
| (t::ts) := max t.fresh_index (terms.fresh_index ts)
end omega
|
d220c11e14a342fd04ebc2a8c2f95c1b80474baa | 57c233acf9386e610d99ed20ef139c5f97504ba3 | /src/analysis/normed_space/exponential.lean | 3814d7b00ad9eaac5c991622b00da27c512a7bee | [
"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 | 15,924 | lean | /-
Copyright (c) 2021 Anatole Dedecker. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Anatole Dedecker
-/
import analysis.specific_limits
import analysis.analytic.basic
import analysis.complex.basic
import data.nat.choose.cast
/-!
# Exponential in a Banach algebra
In this file, we define `exp 𝕂 𝔸`, the exponential map in a normed algebra `𝔸` over a nondiscrete
normed field `𝕂`. Although the definition doesn't require `𝔸` to be complete, we need to assume it
for most results.
We then prove some basic results, but we avoid importing derivatives here to minimize dependencies.
Results involving derivatives and comparisons with `real.exp` and `complex.exp` can be found in
`analysis/special_functions/exponential`.
## Main results
We prove most result for an arbitrary field `𝕂`, and then specialize to `𝕂 = ℝ` or `𝕂 = ℂ`.
### General case
- `exp_add_of_commute_of_lt_radius` : if `𝕂` has characteristic zero, then given two commuting
elements `x` and `y` in the disk of convergence, we have
`exp 𝕂 𝔸 (x+y) = (exp 𝕂 𝔸 x) * (exp 𝕂 𝔸 y)`
- `exp_add_of_lt_radius` : if `𝕂` has characteristic zero and `𝔸` is commutative, then given two
elements `x` and `y` in the disk of convergence, we have
`exp 𝕂 𝔸 (x+y) = (exp 𝕂 𝔸 x) * (exp 𝕂 𝔸 y)`
### `𝕂 = ℝ` or `𝕂 = ℂ`
- `exp_series_radius_eq_top` : the `formal_multilinear_series` defining `exp 𝕂 𝔸` has infinite
radius of convergence
- `exp_add_of_commute` : given two commuting elements `x` and `y`, we have
`exp 𝕂 𝔸 (x+y) = (exp 𝕂 𝔸 x) * (exp 𝕂 𝔸 y)`
- `exp_add` : if `𝔸` is commutative, then we have `exp 𝕂 𝔸 (x+y) = (exp 𝕂 𝔸 x) * (exp 𝕂 𝔸 y)`
for any `x` and `y`
### Other useful compatibility results
- `exp_eq_exp` : if `𝔸` is a normed algebra over two fields `𝕂` and `𝕂'`, then `exp 𝕂 𝔸 = exp 𝕂' 𝔸`
-/
open filter is_R_or_C continuous_multilinear_map normed_field asymptotics
open_locale nat topological_space big_operators ennreal
section any_field_any_algebra
variables (𝕂 𝔸 : Type*) [nondiscrete_normed_field 𝕂] [normed_ring 𝔸] [normed_algebra 𝕂 𝔸]
/-- In a Banach algebra `𝔸` over a normed field `𝕂`, `exp_series 𝕂 𝔸` is the
`formal_multilinear_series` whose `n`-th term is the map `(xᵢ) : 𝔸ⁿ ↦ (1/n! : 𝕂) • ∏ xᵢ`.
Its sum is the exponential map `exp 𝕂 𝔸 : 𝔸 → 𝔸`. -/
def exp_series : formal_multilinear_series 𝕂 𝔸 𝔸 :=
λ n, (1/n! : 𝕂) • continuous_multilinear_map.mk_pi_algebra_fin 𝕂 n 𝔸
/-- In a Banach algebra `𝔸` over a normed field `𝕂`, `exp 𝕂 𝔸 : 𝔸 → 𝔸` is the exponential map
determined by the action of `𝕂` on `𝔸`.
It is defined as the sum of the `formal_multilinear_series` `exp_series 𝕂 𝔸`. -/
noncomputable def exp (x : 𝔸) : 𝔸 := (exp_series 𝕂 𝔸).sum x
variables {𝕂 𝔸}
lemma exp_series_apply_eq (x : 𝔸) (n : ℕ) : exp_series 𝕂 𝔸 n (λ _, x) = (1 / n! : 𝕂) • x^n :=
by simp [exp_series]
lemma exp_series_apply_eq' (x : 𝔸) :
(λ n, exp_series 𝕂 𝔸 n (λ _, x)) = (λ n, (1 / n! : 𝕂) • x^n) :=
funext (exp_series_apply_eq x)
lemma exp_series_apply_eq_field (x : 𝕂) (n : ℕ) : exp_series 𝕂 𝕂 n (λ _, x) = x^n / n! :=
begin
rw [div_eq_inv_mul, ←smul_eq_mul, inv_eq_one_div],
exact exp_series_apply_eq x n,
end
lemma exp_series_apply_eq_field' (x : 𝕂) : (λ n, exp_series 𝕂 𝕂 n (λ _, x)) = (λ n, x^n / n!) :=
funext (exp_series_apply_eq_field x)
lemma exp_series_sum_eq (x : 𝔸) : (exp_series 𝕂 𝔸).sum x = ∑' (n : ℕ), (1 / n! : 𝕂) • x^n :=
tsum_congr (λ n, exp_series_apply_eq x n)
lemma exp_series_sum_eq_field (x : 𝕂) : (exp_series 𝕂 𝕂).sum x = ∑' (n : ℕ), x^n / n! :=
tsum_congr (λ n, exp_series_apply_eq_field x n)
lemma exp_eq_tsum : exp 𝕂 𝔸 = (λ x : 𝔸, ∑' (n : ℕ), (1 / n! : 𝕂) • x^n) :=
funext exp_series_sum_eq
lemma exp_eq_tsum_field : exp 𝕂 𝕂 = (λ x : 𝕂, ∑' (n : ℕ), x^n / n!) :=
funext exp_series_sum_eq_field
lemma exp_zero : exp 𝕂 𝔸 0 = 1 :=
begin
suffices : (λ x : 𝔸, ∑' (n : ℕ), (1 / n! : 𝕂) • x^n) 0 = ∑' (n : ℕ), if n = 0 then 1 else 0,
{ have key : ∀ n ∉ ({0} : finset ℕ), (if n = 0 then (1 : 𝔸) else 0) = 0,
from λ n hn, if_neg (finset.not_mem_singleton.mp hn),
rw [exp_eq_tsum, this, tsum_eq_sum key, finset.sum_singleton],
simp },
refine tsum_congr (λ n, _),
split_ifs with h h;
simp [h]
end
lemma norm_exp_series_summable_of_mem_ball (x : 𝔸)
(hx : x ∈ emetric.ball (0 : 𝔸) (exp_series 𝕂 𝔸).radius) :
summable (λ n, ∥exp_series 𝕂 𝔸 n (λ _, x)∥) :=
(exp_series 𝕂 𝔸).summable_norm_apply hx
lemma norm_exp_series_summable_of_mem_ball' (x : 𝔸)
(hx : x ∈ emetric.ball (0 : 𝔸) (exp_series 𝕂 𝔸).radius) :
summable (λ n, ∥(1 / n! : 𝕂) • x^n∥) :=
begin
change summable (norm ∘ _),
rw ← exp_series_apply_eq',
exact norm_exp_series_summable_of_mem_ball x hx
end
lemma norm_exp_series_field_summable_of_mem_ball (x : 𝕂)
(hx : x ∈ emetric.ball (0 : 𝕂) (exp_series 𝕂 𝕂).radius) :
summable (λ n, ∥x^n / n!∥) :=
begin
change summable (norm ∘ _),
rw ← exp_series_apply_eq_field',
exact norm_exp_series_summable_of_mem_ball x hx
end
section complete_algebra
variables [complete_space 𝔸]
lemma exp_series_summable_of_mem_ball (x : 𝔸)
(hx : x ∈ emetric.ball (0 : 𝔸) (exp_series 𝕂 𝔸).radius) :
summable (λ n, exp_series 𝕂 𝔸 n (λ _, x)) :=
summable_of_summable_norm (norm_exp_series_summable_of_mem_ball x hx)
lemma exp_series_summable_of_mem_ball' (x : 𝔸)
(hx : x ∈ emetric.ball (0 : 𝔸) (exp_series 𝕂 𝔸).radius) :
summable (λ n, (1 / n! : 𝕂) • x^n) :=
summable_of_summable_norm (norm_exp_series_summable_of_mem_ball' x hx)
lemma exp_series_field_summable_of_mem_ball [complete_space 𝕂] (x : 𝕂)
(hx : x ∈ emetric.ball (0 : 𝕂) (exp_series 𝕂 𝕂).radius) : summable (λ n, x^n / n!) :=
summable_of_summable_norm (norm_exp_series_field_summable_of_mem_ball x hx)
lemma exp_series_has_sum_exp_of_mem_ball (x : 𝔸)
(hx : x ∈ emetric.ball (0 : 𝔸) (exp_series 𝕂 𝔸).radius) :
has_sum (λ n, exp_series 𝕂 𝔸 n (λ _, x)) (exp 𝕂 𝔸 x) :=
formal_multilinear_series.has_sum (exp_series 𝕂 𝔸) hx
lemma exp_series_has_sum_exp_of_mem_ball' (x : 𝔸)
(hx : x ∈ emetric.ball (0 : 𝔸) (exp_series 𝕂 𝔸).radius) :
has_sum (λ n, (1 / n! : 𝕂) • x^n) (exp 𝕂 𝔸 x):=
begin
rw ← exp_series_apply_eq',
exact exp_series_has_sum_exp_of_mem_ball x hx
end
lemma exp_series_field_has_sum_exp_of_mem_ball [complete_space 𝕂] (x : 𝕂)
(hx : x ∈ emetric.ball (0 : 𝕂) (exp_series 𝕂 𝕂).radius) : has_sum (λ n, x^n / n!) (exp 𝕂 𝕂 x) :=
begin
rw ← exp_series_apply_eq_field',
exact exp_series_has_sum_exp_of_mem_ball x hx
end
lemma has_fpower_series_on_ball_exp_of_radius_pos (h : 0 < (exp_series 𝕂 𝔸).radius) :
has_fpower_series_on_ball (exp 𝕂 𝔸) (exp_series 𝕂 𝔸) 0 (exp_series 𝕂 𝔸).radius :=
(exp_series 𝕂 𝔸).has_fpower_series_on_ball h
lemma has_fpower_series_at_exp_zero_of_radius_pos (h : 0 < (exp_series 𝕂 𝔸).radius) :
has_fpower_series_at (exp 𝕂 𝔸) (exp_series 𝕂 𝔸) 0 :=
(has_fpower_series_on_ball_exp_of_radius_pos h).has_fpower_series_at
lemma continuous_on_exp :
continuous_on (exp 𝕂 𝔸) (emetric.ball 0 (exp_series 𝕂 𝔸).radius) :=
formal_multilinear_series.continuous_on
lemma analytic_at_exp_of_mem_ball (x : 𝔸) (hx : x ∈ emetric.ball (0 : 𝔸) (exp_series 𝕂 𝔸).radius) :
analytic_at 𝕂 (exp 𝕂 𝔸) x:=
begin
by_cases h : (exp_series 𝕂 𝔸).radius = 0,
{ rw h at hx, exact (ennreal.not_lt_zero hx).elim },
{ have h := pos_iff_ne_zero.mpr h,
exact (has_fpower_series_on_ball_exp_of_radius_pos h).analytic_at_of_mem hx }
end
/-- In a Banach-algebra `𝔸` over a normed field `𝕂` of characteristic zero, if `x` and `y` are
in the disk of convergence and commute, then `exp 𝕂 𝔸 (x + y) = (exp 𝕂 𝔸 x) * (exp 𝕂 𝔸 y)`. -/
lemma exp_add_of_commute_of_mem_ball [char_zero 𝕂]
{x y : 𝔸} (hxy : commute x y) (hx : x ∈ emetric.ball (0 : 𝔸) (exp_series 𝕂 𝔸).radius)
(hy : y ∈ emetric.ball (0 : 𝔸) (exp_series 𝕂 𝔸).radius) :
exp 𝕂 𝔸 (x + y) = (exp 𝕂 𝔸 x) * (exp 𝕂 𝔸 y) :=
begin
rw [exp_eq_tsum, tsum_mul_tsum_eq_tsum_sum_antidiagonal_of_summable_norm
(norm_exp_series_summable_of_mem_ball' x hx) (norm_exp_series_summable_of_mem_ball' y hy)],
dsimp only,
conv_lhs {congr, funext, rw [hxy.add_pow' _, finset.smul_sum]},
refine tsum_congr (λ n, finset.sum_congr rfl $ λ kl hkl, _),
rw [nsmul_eq_smul_cast 𝕂, smul_smul, smul_mul_smul, ← (finset.nat.mem_antidiagonal.mp hkl),
nat.cast_add_choose, (finset.nat.mem_antidiagonal.mp hkl)],
congr' 1,
have : (n! : 𝕂) ≠ 0 := nat.cast_ne_zero.mpr n.factorial_ne_zero,
field_simp [this]
end
end complete_algebra
end any_field_any_algebra
section any_field_comm_algebra
variables {𝕂 𝔸 : Type*} [nondiscrete_normed_field 𝕂] [normed_comm_ring 𝔸] [normed_algebra 𝕂 𝔸]
[complete_space 𝔸]
/-- In a commutative Banach-algebra `𝔸` over a normed field `𝕂` of characteristic zero,
`exp 𝕂 𝔸 (x+y) = (exp 𝕂 𝔸 x) * (exp 𝕂 𝔸 y)` for all `x`, `y` in the disk of convergence. -/
lemma exp_add_of_mem_ball [char_zero 𝕂] {x y : 𝔸}
(hx : x ∈ emetric.ball (0 : 𝔸) (exp_series 𝕂 𝔸).radius)
(hy : y ∈ emetric.ball (0 : 𝔸) (exp_series 𝕂 𝔸).radius) :
exp 𝕂 𝔸 (x + y) = (exp 𝕂 𝔸 x) * (exp 𝕂 𝔸 y) :=
exp_add_of_commute_of_mem_ball (commute.all x y) hx hy
end any_field_comm_algebra
section is_R_or_C
section any_algebra
variables (𝕂 𝔸 : Type*) [is_R_or_C 𝕂] [normed_ring 𝔸] [normed_algebra 𝕂 𝔸]
/-- In a normed algebra `𝔸` over `𝕂 = ℝ` or `𝕂 = ℂ`, the series defining the exponential map
has an infinite radius of convergence. -/
lemma exp_series_radius_eq_top : (exp_series 𝕂 𝔸).radius = ∞ :=
begin
refine (exp_series 𝕂 𝔸).radius_eq_top_of_summable_norm (λ r, _),
refine summable_of_norm_bounded_eventually _ (real.summable_pow_div_factorial r) _,
filter_upwards [eventually_cofinite_ne 0] with n hn,
rw [norm_mul, norm_norm (exp_series 𝕂 𝔸 n), exp_series, norm_smul, norm_div, norm_one, norm_pow,
nnreal.norm_eq, norm_eq_abs, abs_cast_nat, mul_comm, ←mul_assoc, ←mul_div_assoc, mul_one],
have : ∥continuous_multilinear_map.mk_pi_algebra_fin 𝕂 n 𝔸∥ ≤ 1 :=
norm_mk_pi_algebra_fin_le_of_pos (nat.pos_of_ne_zero hn),
exact mul_le_of_le_one_right (div_nonneg (pow_nonneg r.coe_nonneg n) n!.cast_nonneg) this
end
lemma exp_series_radius_pos : 0 < (exp_series 𝕂 𝔸).radius :=
begin
rw exp_series_radius_eq_top,
exact with_top.zero_lt_top
end
variables {𝕂 𝔸}
section complete_algebra
lemma norm_exp_series_summable (x : 𝔸) : summable (λ n, ∥exp_series 𝕂 𝔸 n (λ _, x)∥) :=
norm_exp_series_summable_of_mem_ball x ((exp_series_radius_eq_top 𝕂 𝔸).symm ▸ edist_lt_top _ _)
lemma norm_exp_series_summable' (x : 𝔸) : summable (λ n, ∥(1 / n! : 𝕂) • x^n∥) :=
norm_exp_series_summable_of_mem_ball' x ((exp_series_radius_eq_top 𝕂 𝔸).symm ▸ edist_lt_top _ _)
lemma norm_exp_series_field_summable (x : 𝕂) : summable (λ n, ∥x^n / n!∥) :=
norm_exp_series_field_summable_of_mem_ball x
((exp_series_radius_eq_top 𝕂 𝕂).symm ▸ edist_lt_top _ _)
variables [complete_space 𝔸]
lemma exp_series_summable (x : 𝔸) : summable (λ n, exp_series 𝕂 𝔸 n (λ _, x)) :=
summable_of_summable_norm (norm_exp_series_summable x)
lemma exp_series_summable' (x : 𝔸) : summable (λ n, (1 / n! : 𝕂) • x^n) :=
summable_of_summable_norm (norm_exp_series_summable' x)
lemma exp_series_field_summable (x : 𝕂) : summable (λ n, x^n / n!) :=
summable_of_summable_norm (norm_exp_series_field_summable x)
lemma exp_series_has_sum_exp (x : 𝔸) : has_sum (λ n, exp_series 𝕂 𝔸 n (λ _, x)) (exp 𝕂 𝔸 x) :=
exp_series_has_sum_exp_of_mem_ball x ((exp_series_radius_eq_top 𝕂 𝔸).symm ▸ edist_lt_top _ _)
lemma exp_series_has_sum_exp' (x : 𝔸) : has_sum (λ n, (1 / n! : 𝕂) • x^n) (exp 𝕂 𝔸 x):=
exp_series_has_sum_exp_of_mem_ball' x ((exp_series_radius_eq_top 𝕂 𝔸).symm ▸ edist_lt_top _ _)
lemma exp_series_field_has_sum_exp (x : 𝕂) : has_sum (λ n, x^n / n!) (exp 𝕂 𝕂 x):=
exp_series_field_has_sum_exp_of_mem_ball x ((exp_series_radius_eq_top 𝕂 𝕂).symm ▸ edist_lt_top _ _)
lemma exp_has_fpower_series_on_ball :
has_fpower_series_on_ball (exp 𝕂 𝔸) (exp_series 𝕂 𝔸) 0 ∞ :=
exp_series_radius_eq_top 𝕂 𝔸 ▸
has_fpower_series_on_ball_exp_of_radius_pos (exp_series_radius_pos _ _)
lemma exp_has_fpower_series_at_zero :
has_fpower_series_at (exp 𝕂 𝔸) (exp_series 𝕂 𝔸) 0 :=
exp_has_fpower_series_on_ball.has_fpower_series_at
lemma exp_continuous :
continuous (exp 𝕂 𝔸) :=
begin
rw [continuous_iff_continuous_on_univ, ← metric.eball_top_eq_univ (0 : 𝔸),
← exp_series_radius_eq_top 𝕂 𝔸],
exact continuous_on_exp
end
lemma exp_analytic (x : 𝔸) :
analytic_at 𝕂 (exp 𝕂 𝔸) x :=
analytic_at_exp_of_mem_ball x ((exp_series_radius_eq_top 𝕂 𝔸).symm ▸ edist_lt_top _ _)
end complete_algebra
local attribute [instance] char_zero_R_or_C
/-- In a Banach-algebra `𝔸` over `𝕂 = ℝ` or `𝕂 = ℂ`, if `x` and `y` commute, then
`exp 𝕂 𝔸 (x+y) = (exp 𝕂 𝔸 x) * (exp 𝕂 𝔸 y)`. -/
lemma exp_add_of_commute [complete_space 𝔸]
{x y : 𝔸} (hxy : commute x y) :
exp 𝕂 𝔸 (x + y) = (exp 𝕂 𝔸 x) * (exp 𝕂 𝔸 y) :=
exp_add_of_commute_of_mem_ball hxy ((exp_series_radius_eq_top 𝕂 𝔸).symm ▸ edist_lt_top _ _)
((exp_series_radius_eq_top 𝕂 𝔸).symm ▸ edist_lt_top _ _)
end any_algebra
section comm_algebra
variables {𝕂 𝔸 : Type*} [is_R_or_C 𝕂] [normed_comm_ring 𝔸] [normed_algebra 𝕂 𝔸] [complete_space 𝔸]
local attribute [instance] char_zero_R_or_C
/-- In a commutative Banach-algebra `𝔸` over `𝕂 = ℝ` or `𝕂 = ℂ`,
`exp 𝕂 𝔸 (x+y) = (exp 𝕂 𝔸 x) * (exp 𝕂 𝔸 y)`. -/
lemma exp_add {x y : 𝔸} : exp 𝕂 𝔸 (x + y) = (exp 𝕂 𝔸 x) * (exp 𝕂 𝔸 y) :=
exp_add_of_mem_ball ((exp_series_radius_eq_top 𝕂 𝔸).symm ▸ edist_lt_top _ _)
((exp_series_radius_eq_top 𝕂 𝔸).symm ▸ edist_lt_top _ _)
end comm_algebra
end is_R_or_C
section scalar_tower
variables (𝕂 𝕂' 𝔸 : Type*) [nondiscrete_normed_field 𝕂] [nondiscrete_normed_field 𝕂']
[normed_ring 𝔸] [normed_algebra 𝕂 𝔸] [normed_algebra 𝕂' 𝔸]
/-- If a normed ring `𝔸` is a normed algebra over two fields, then they define the same
`exp_series` on `𝔸`. -/
lemma exp_series_eq_exp_series (n : ℕ) (x : 𝔸) :
(exp_series 𝕂 𝔸 n (λ _, x)) = (exp_series 𝕂' 𝔸 n (λ _, x)) :=
by rw [exp_series, exp_series,
smul_apply, mk_pi_algebra_fin_apply, list.of_fn_const, list.prod_repeat,
smul_apply, mk_pi_algebra_fin_apply, list.of_fn_const, list.prod_repeat,
one_div, one_div, inv_nat_cast_smul_eq 𝕂 𝕂']
/-- If a normed ring `𝔸` is a normed algebra over two fields, then they define the same
exponential function on `𝔸`. -/
lemma exp_eq_exp : exp 𝕂 𝔸 = exp 𝕂' 𝔸 :=
begin
ext,
rw [exp, exp],
refine tsum_congr (λ n, _),
rw exp_series_eq_exp_series 𝕂 𝕂' 𝔸 n x
end
lemma exp_ℝ_ℂ_eq_exp_ℂ_ℂ : exp ℝ ℂ = exp ℂ ℂ :=
exp_eq_exp ℝ ℂ ℂ
end scalar_tower
|
d1b89b19b7d84cdba0939820078a80e56dc2be8e | 9b9a16fa2cb737daee6b2785474678b6fa91d6d4 | /src/logic/basic.lean | cdc3b9cf64c61007dceac950d2f9c931eb3a7590 | [
"Apache-2.0"
] | permissive | johoelzl/mathlib | 253f46daa30b644d011e8e119025b01ad69735c4 | 592e3c7a2dfbd5826919b4605559d35d4d75938f | refs/heads/master | 1,625,657,216,488 | 1,551,374,946,000 | 1,551,374,946,000 | 98,915,829 | 0 | 0 | Apache-2.0 | 1,522,917,267,000 | 1,501,524,499,000 | Lean | UTF-8 | Lean | false | false | 25,974 | 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
Theorems that require decidability hypotheses are in the namespace "decidable".
Classical versions are in the namespace "classical".
Note: in the presence of automation, this whole file may be unnecessary. On the other hand,
maybe it is useful for writing automation.
-/
import data.prod tactic.cache
/-
miscellany
TODO: move elsewhere
-/
section miscellany
variables {α : Type*} {β : Type*}
@[reducible] def hidden {a : α} := a
def empty.elim {C : Sort*} : empty → C.
instance : subsingleton empty := ⟨λa, a.elim⟩
instance : decidable_eq empty := λa, a.elim
@[priority 0] 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
@[simp] 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
@[simp] 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⟩
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
end miscellany
/-
propositional connectives
-/
@[simp] theorem false_ne_true : false ≠ true
| h := h.symm ▸ trivial
section propositional
variables {a b c d : Prop}
/- 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] theorem imp_self : (a → a) ↔ true := iff_true_intro id
theorem imp_intro {α β} (h : α) (h₂ : β) : α := 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
@[simp] 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⟩
/- not -/
theorem 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 {α} : ¬(α → 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
/- 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⟩
/- 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⟩
/- 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)
/- 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 a] [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 } } }
@[simp] 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
/- 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
end equality
/-
quantifiers
-/
section quantifiers
variables {α : Sort*} {p q : α → Prop} {b : Prop}
def Exists.imp := @exists_imp_exists
theorem forall_swap {α β} {p : α → β → Prop} : (∀ x y, p x y) ↔ ∀ y x, p x y :=
⟨function.swap, function.swap⟩
theorem exists_swap {α β} {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 :=
by haveI := decidable_of_iff (¬ ∃ x, p x) not_exists;
exact not_iff_comm.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*) [inhabited α] : (α → b) ↔ b :=
⟨λ h, h (arbitrary α), λ hb x, hb⟩
@[simp] theorem exists_const (α : Sort*) [inhabited α] : (∃ x : α, b) ↔ b :=
⟨λ ⟨x, h⟩, h, λ h, ⟨arbitrary α, h⟩⟩
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_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⟩
@[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 -/
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 forall_or_distrib_left {q : Prop} {p : α → Prop} :
(∀x, q ∨ p x) ↔ q ∨ (∀x, p x) :=
forall_or_distrib_left
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
/- use shortened names to avoid conflict when classical namespace is open -/
noncomputable theorem dec (p : Prop) : decidable p := by apply_instance
noncomputable theorem dec_pred (p : α → Prop) : decidable_pred p := by apply_instance
noncomputable theorem dec_rel (p : α → α → Prop) : decidable_rel p := by apply_instance
noncomputable theorem dec_eq (α : Sort*) : decidable_eq α := by apply_instance
@[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 : Type*} {p : α → Prop} {h : ∃a, p a}
(q : α → Prop) (hpq : ∀a, p a → q a) : q (some h) :=
hpq _ $ some_spec _
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)
/-
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) (_ : q 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
section nonempty
universes 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 {p : Prop} : ¬ 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⟩)
-- inhabited_of_nonempty already exists, in core/init/classical.lean, but the
-- assumption is not [...], which makes it unsuitable for some applications
noncomputable def classical.inhabited_of_nonempty' {α : Sort u} [h : nonempty α] : inhabited α :=
⟨classical.choice h⟩
-- `nonempty` cannot be a `functor`, because `functor` is restricted to Types.
lemma nonempty.map {α : Sort u} {β : Sort v} (f : α → β) : nonempty α → nonempty β
| ⟨h⟩ := ⟨f h⟩
end nonempty
|
f39a67ab090e744bee5574e5fa7c07d35dea7f23 | 2eab05920d6eeb06665e1a6df77b3157354316ad | /src/analysis/calculus/parametric_integral.lean | 2487b076f1ced6a3974841ed27e9ea28e1a60f3b | [
"Apache-2.0"
] | permissive | ayush1801/mathlib | 78949b9f789f488148142221606bf15c02b960d2 | ce164e28f262acbb3de6281b3b03660a9f744e3c | refs/heads/master | 1,692,886,907,941 | 1,635,270,866,000 | 1,635,270,866,000 | null | 0 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 14,525 | lean | /-
Copyright (c) 2021 Patrick Massot. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Patrick Massot
-/
import measure_theory.integral.set_integral
import analysis.calculus.mean_value
/-!
# Derivatives of integrals depending on parameters
A parametric integral is a function with shape `f = λ x : H, ∫ a : α, F x a ∂μ` for some
`F : H → α → E`, where `H` and `E` are normed spaces and `α` is a measured space with measure `μ`.
We already know from `continuous_of_dominated` in `measure_theory.integral.bochner` how to
guarantee that `f` is continuous using the dominated convergence theorem. In this file,
we want to express the derivative of `f` as the integral of the derivative of `F` with respect
to `x`.
## Main results
As explained above, all results express the derivative of a parametric integral as the integral of
a derivative. The variations come from the assumptions and from the different ways of expressing
derivative, especially Fréchet derivatives vs elementary derivative of function of one real
variable.
* `has_fderiv_at_of_dominated_loc_of_lip`: this version assumes
`F x` is ae-measurable for x near `x₀`, `F x₀` is integrable,
`λ x, F x a` has derivative `F' a : H →L[ℝ] E` at `x₀` which is ae-measurable,
`λ x, F x a` is locally Lipschitz near `x₀` for almost every `a`, with a Lipschitz bound which
is integrable with respect to `a`. A subtle point is that the "near x₀" in the last condition
has to be uniform in `a`. This is controlled by a positive number `ε`.
* `has_fderiv_at_of_dominated_of_fderiv_le`: this version assume `λ x, F x a` has derivative
`F' x a` for `x` near `x₀` and `F' x` is bounded by an integrable function independent from
`x` near `x₀`.
`has_deriv_at_of_dominated_loc_of_lip` and `has_deriv_at_of_dominated_loc_of_deriv_le ` are versions
of the above two results that assume `H = ℝ` and use the high-school derivative `deriv` instead of
Fréchet derivative `fderiv`.
-/
noncomputable theory
open topological_space measure_theory filter metric
open_locale topological_space filter
variables {α : Type*} [measurable_space α] {μ : measure α}
{E : Type*} [normed_group E] [normed_space ℝ E]
[complete_space E] [second_countable_topology E]
[measurable_space E] [borel_space E]
{H : Type*} [normed_group H] [normed_space ℝ H]
[second_countable_topology $ H →L[ℝ] E]
/-- Differentiation under integral of `x ↦ ∫ F x a` at a given point `x₀`, assuming
`F x₀` is integrable, `x ↦ F x a` is locally Lipschitz on a ball around `x₀` for ae `a` with
integrable Lipschitz bound (with a ball radius independent of `a`), and `F x` is
ae-measurable for `x` in the same ball. See `has_fderiv_at_of_dominated_loc_of_lip` for a
slightly more general version. -/
lemma has_fderiv_at_of_dominated_loc_of_lip' {F : H → α → E} {F' : α → (H →L[ℝ] E)} {x₀ : H}
{bound : α → ℝ}
{ε : ℝ} (ε_pos : 0 < ε)
(hF_meas : ∀ x ∈ ball x₀ ε, ae_measurable (F x) μ)
(hF_int : integrable (F x₀) μ)
(hF'_meas : ae_measurable F' μ)
(h_lipsch : ∀ᵐ a ∂μ, lipschitz_on_with (real.nnabs $ bound a) (λ x, F x a) (ball x₀ ε))
(bound_integrable : integrable (bound : α → ℝ) μ)
(h_diff : ∀ᵐ a ∂μ, has_fderiv_at (λ x, F x a) (F' a) x₀) :
integrable F' μ ∧ has_fderiv_at (λ x, ∫ a, F x a ∂μ) (∫ a, F' a ∂μ) x₀ :=
begin
have x₀_in : x₀ ∈ ball x₀ ε := mem_ball_self ε_pos,
have nneg : ∀ x, 0 ≤ ∥x - x₀∥⁻¹ := λ x, inv_nonneg.mpr (norm_nonneg _) ,
set b : α → ℝ := λ a, |bound a|,
have b_int : integrable b μ := bound_integrable.norm,
have b_nonneg : ∀ a, 0 ≤ b a := λ a, abs_nonneg _,
have hF_int' : ∀ x ∈ ball x₀ ε, integrable (F x) μ,
{ intros x x_in,
have : ∀ᵐ a ∂μ, ∥F x₀ a - F x a∥ ≤ ε * ∥(bound a : ℝ)∥,
{ apply h_lipsch.mono,
intros a ha,
rw lipschitz_on_with_iff_norm_sub_le at ha,
apply (ha x₀ x₀_in x x_in).trans,
rw [mul_comm, real.coe_nnabs, real.norm_eq_abs],
rw [mem_ball, dist_eq_norm, norm_sub_rev] at x_in,
exact mul_le_mul_of_nonneg_right (le_of_lt x_in) (abs_nonneg _) },
exact integrable_of_norm_sub_le (hF_meas x x_in) hF_int
(integrable.const_mul bound_integrable.norm ε) this },
have hF'_int : integrable F' μ,
{ have : ∀ᵐ a ∂μ, ∥F' a∥ ≤ b a,
{ apply (h_diff.and h_lipsch).mono,
rintros a ⟨ha_diff, ha_lip⟩,
exact ha_diff.le_of_lip (ball_mem_nhds _ ε_pos) ha_lip },
exact b_int.mono' hF'_meas this },
refine ⟨hF'_int, _⟩,
have h_ball: ball x₀ ε ∈ 𝓝 x₀ := ball_mem_nhds x₀ ε_pos,
have : ∀ᶠ x in 𝓝 x₀,
∥x - x₀∥⁻¹ * ∥∫ a, F x a ∂μ - ∫ a, F x₀ a ∂μ - (∫ a, F' a ∂μ) (x - x₀)∥ =
∥∫ a, ∥x - x₀∥⁻¹ • (F x a - F x₀ a - F' a (x - x₀)) ∂μ∥,
{ apply mem_of_superset (ball_mem_nhds _ ε_pos),
intros x x_in,
rw [set.mem_set_of_eq, ← norm_smul_of_nonneg (nneg _), integral_smul,
integral_sub, integral_sub, ← continuous_linear_map.integral_apply hF'_int],
exacts [hF_int' x x_in, hF_int, (hF_int' x x_in).sub hF_int,
hF'_int.apply_continuous_linear_map _] },
rw [has_fderiv_at_iff_tendsto, tendsto_congr' this, ← tendsto_zero_iff_norm_tendsto_zero,
← show ∫ (a : α), ∥x₀ - x₀∥⁻¹ • (F x₀ a - F x₀ a - (F' a) (x₀ - x₀)) ∂μ = 0, by simp],
apply tendsto_integral_filter_of_dominated_convergence,
{ filter_upwards [h_ball],
intros x x_in,
apply ae_measurable.const_smul,
exact ((hF_meas _ x_in).sub (hF_meas _ x₀_in)).sub (hF'_meas.apply_continuous_linear_map _) },
{ simp [measurable_const] },
{ apply mem_of_superset h_ball,
intros x hx,
apply (h_diff.and h_lipsch).mono,
rintros a ⟨ha_deriv, ha_bound⟩,
show ∥∥x - x₀∥⁻¹ • (F x a - F x₀ a - F' a (x - x₀))∥ ≤ b a + ∥F' a∥,
replace ha_bound : ∥F x a - F x₀ a∥ ≤ b a * ∥x - x₀∥,
{ rw lipschitz_on_with_iff_norm_sub_le at ha_bound,
exact ha_bound _ hx _ x₀_in },
calc ∥∥x - x₀∥⁻¹ • (F x a - F x₀ a - F' a (x - x₀))∥
= ∥∥x - x₀∥⁻¹ • (F x a - F x₀ a) - ∥x - x₀∥⁻¹ • F' a (x - x₀)∥ : by rw smul_sub
... ≤ ∥∥x - x₀∥⁻¹ • (F x a - F x₀ a)∥ + ∥∥x - x₀∥⁻¹ • F' a (x - x₀)∥ : norm_sub_le _ _
... = ∥x - x₀∥⁻¹ * ∥F x a - F x₀ a∥ + ∥x - x₀∥⁻¹ * ∥F' a (x - x₀)∥ :
by { rw [norm_smul_of_nonneg, norm_smul_of_nonneg] ; exact nneg _}
... ≤ ∥x - x₀∥⁻¹ * (b a * ∥x - x₀∥) + ∥x - x₀∥⁻¹ * (∥F' a∥ * ∥x - x₀∥) : add_le_add _ _
... ≤ b a + ∥F' a∥ : _,
exact mul_le_mul_of_nonneg_left ha_bound (nneg _),
apply mul_le_mul_of_nonneg_left ((F' a).le_op_norm _) (nneg _),
by_cases h : ∥x - x₀∥ = 0,
{ simpa [h] using add_nonneg (b_nonneg a) (norm_nonneg (F' a)) },
{ field_simp [h] } },
{ exact b_int.add hF'_int.norm },
{ apply h_diff.mono,
intros a ha,
suffices : tendsto (λ x, ∥x - x₀∥⁻¹ • (F x a - F x₀ a - F' a (x - x₀))) (𝓝 x₀) (𝓝 0),
by simpa,
rw tendsto_zero_iff_norm_tendsto_zero,
have : (λ x, ∥x - x₀∥⁻¹ * ∥F x a - F x₀ a - F' a (x - x₀)∥) =
λ x, ∥∥x - x₀∥⁻¹ • (F x a - F x₀ a - F' a (x - x₀))∥,
{ ext x,
rw norm_smul_of_nonneg (nneg _) },
rwa [has_fderiv_at_iff_tendsto, this] at ha },
end
/-- Differentiation under integral of `x ↦ ∫ F x a` at a given point `x₀`, assuming
`F x₀` is integrable, `x ↦ F x a` is locally Lipschitz on a ball around `x₀` for ae `a`
(with a ball radius independent of `a`) with integrable Lipschitz bound, and `F x` is ae-measurable
for `x` in a possibly smaller neighborhood of `x₀`. -/
lemma has_fderiv_at_of_dominated_loc_of_lip {F : H → α → E} {F' : α → (H →L[ℝ] E)} {x₀ : H}
{bound : α → ℝ}
{ε : ℝ} (ε_pos : 0 < ε)
(hF_meas : ∀ᶠ x in 𝓝 x₀, ae_measurable (F x) μ)
(hF_int : integrable (F x₀) μ)
(hF'_meas : ae_measurable F' μ)
(h_lip : ∀ᵐ a ∂μ, lipschitz_on_with (real.nnabs $ bound a) (λ x, F x a) (ball x₀ ε))
(bound_integrable : integrable (bound : α → ℝ) μ)
(h_diff : ∀ᵐ a ∂μ, has_fderiv_at (λ x, F x a) (F' a) x₀) :
integrable F' μ ∧ has_fderiv_at (λ x, ∫ a, F x a ∂μ) (∫ a, F' a ∂μ) x₀ :=
begin
obtain ⟨ε', ε'_pos, h'⟩ : ∃ ε' > 0, ∀ x ∈ ball x₀ ε', ae_measurable (F x) μ,
by simpa using nhds_basis_ball.eventually_iff.mp hF_meas,
set δ := min ε ε',
have δ_pos : 0 < δ := lt_min ε_pos ε'_pos,
replace h' : ∀ x, x ∈ ball x₀ δ → ae_measurable (F x) μ,
{ intros x x_in,
exact h' _ (ball_subset_ball (min_le_right ε ε') x_in) },
replace h_lip : ∀ᵐ (a : α) ∂μ, lipschitz_on_with (real.nnabs $ bound a) (λ x, F x a) (ball x₀ δ),
{ apply h_lip.mono,
intros a lip,
exact lip.mono (ball_subset_ball $ min_le_left ε ε') },
apply has_fderiv_at_of_dominated_loc_of_lip' δ_pos ; assumption
end
/-- Differentiation under integral of `x ↦ ∫ F x a` at a given point `x₀`, assuming
`F x₀` is integrable, `x ↦ F x a` is differentiable on a ball around `x₀` for ae `a` with
derivative norm uniformly bounded by an integrable function (the ball radius is independent of `a`),
and `F x` is ae-measurable for `x` in a possibly smaller neighborhood of `x₀`. -/
lemma has_fderiv_at_of_dominated_of_fderiv_le {F : H → α → E} {F' : H → α → (H →L[ℝ] E)} {x₀ : H}
{bound : α → ℝ}
{ε : ℝ} (ε_pos : 0 < ε)
(hF_meas : ∀ᶠ x in 𝓝 x₀, ae_measurable (F x) μ)
(hF_int : integrable (F x₀) μ)
(hF'_meas : ae_measurable (F' x₀) μ)
(h_bound : ∀ᵐ a ∂μ, ∀ x ∈ ball x₀ ε, ∥F' x a∥ ≤ bound a)
(bound_integrable : integrable (bound : α → ℝ) μ)
(h_diff : ∀ᵐ a ∂μ, ∀ x ∈ ball x₀ ε, has_fderiv_at (λ x, F x a) (F' x a) x) :
has_fderiv_at (λ x, ∫ a, F x a ∂μ) (∫ a, F' x₀ a ∂μ) x₀ :=
begin
have x₀_in : x₀ ∈ ball x₀ ε := mem_ball_self ε_pos,
have diff_x₀ : ∀ᵐ a ∂μ, has_fderiv_at (λ x, F x a) (F' x₀ a) x₀ :=
h_diff.mono (λ a ha, ha x₀ x₀_in),
have : ∀ᵐ a ∂μ, lipschitz_on_with (real.nnabs (bound a)) (λ x, F x a) (ball x₀ ε),
{ apply (h_diff.and h_bound).mono,
rintros a ⟨ha_deriv, ha_bound⟩,
refine (convex_ball _ _).lipschitz_on_with_of_nnnorm_has_fderiv_within_le
(λ x x_in, (ha_deriv x x_in).has_fderiv_within_at) (λ x x_in, _),
rw [← nnreal.coe_le_coe, coe_nnnorm, real.coe_nnabs],
exact (ha_bound x x_in).trans (le_abs_self _) },
exact (has_fderiv_at_of_dominated_loc_of_lip ε_pos hF_meas hF_int
hF'_meas this bound_integrable diff_x₀).2
end
/-- Derivative under integral of `x ↦ ∫ F x a` at a given point `x₀ : ℝ`, assuming
`F x₀` is integrable, `x ↦ F x a` is locally Lipschitz on an interval around `x₀` for ae `a`
(with interval radius independent of `a`) with integrable Lipschitz bound, and `F x` is
ae-measurable for `x` in a possibly smaller neighborhood of `x₀`. -/
lemma has_deriv_at_of_dominated_loc_of_lip {F : ℝ → α → E} {F' : α → E} {x₀ : ℝ}
{ε : ℝ} (ε_pos : 0 < ε)
(hF_meas : ∀ᶠ x in 𝓝 x₀, ae_measurable (F x) μ)
(hF_int : integrable (F x₀) μ)
(hF'_meas : ae_measurable F' μ) {bound : α → ℝ}
(h_lipsch : ∀ᵐ a ∂μ, lipschitz_on_with (real.nnabs $ bound a) (λ x, F x a) (ball x₀ ε))
(bound_integrable : integrable (bound : α → ℝ) μ)
(h_diff : ∀ᵐ a ∂μ, has_deriv_at (λ x, F x a) (F' a) x₀) :
(integrable F' μ) ∧ has_deriv_at (λ x, ∫ a, F x a ∂μ) (∫ a, F' a ∂μ) x₀ :=
begin
have hm := (continuous_linear_map.smul_rightL ℝ ℝ E 1).continuous.measurable.comp_ae_measurable
hF'_meas,
cases has_fderiv_at_of_dominated_loc_of_lip ε_pos hF_meas hF_int hm h_lipsch bound_integrable
h_diff with hF'_int key,
replace hF'_int : integrable F' μ,
{ rw [← integrable_norm_iff hm] at hF'_int,
simpa only [integrable_norm_iff, hF'_meas, one_mul, norm_one,
continuous_linear_map.norm_smul_rightL_apply] using hF'_int},
refine ⟨hF'_int, _⟩,
simp_rw has_deriv_at_iff_has_fderiv_at at h_diff ⊢,
rwa continuous_linear_map.integral_comp_comm _ hF'_int at key,
all_goals { apply_instance, },
end
/-- Derivative under integral of `x ↦ ∫ F x a` at a given point `x₀ : ℝ`, assuming
`F x₀` is integrable, `x ↦ F x a` is differentiable on an interval around `x₀` for ae `a`
(with interval radius independent of `a`) with derivative uniformly bounded by an integrable
function, and `F x` is ae-measurable for `x` in a possibly smaller neighborhood of `x₀`. -/
lemma has_deriv_at_of_dominated_loc_of_deriv_le {F : ℝ → α → E} {F' : ℝ → α → E} {x₀ : ℝ}
{ε : ℝ} (ε_pos : 0 < ε)
(hF_meas : ∀ᶠ x in 𝓝 x₀, ae_measurable (F x) μ)
(hF_int : integrable (F x₀) μ)
(hF'_meas : ae_measurable (F' x₀) μ)
{bound : α → ℝ}
(h_bound : ∀ᵐ a ∂μ, ∀ x ∈ ball x₀ ε, ∥F' x a∥ ≤ bound a)
(bound_integrable : integrable bound μ)
(h_diff : ∀ᵐ a ∂μ, ∀ x ∈ ball x₀ ε, has_deriv_at (λ x, F x a) (F' x a) x) :
(integrable (F' x₀) μ) ∧ has_deriv_at (λn, ∫ a, F n a ∂μ) (∫ a, F' x₀ a ∂μ) x₀ :=
begin
have x₀_in : x₀ ∈ ball x₀ ε := mem_ball_self ε_pos,
have diff_x₀ : ∀ᵐ a ∂μ, has_deriv_at (λ x, F x a) (F' x₀ a) x₀ :=
h_diff.mono (λ a ha, ha x₀ x₀_in),
have : ∀ᵐ a ∂μ, lipschitz_on_with (real.nnabs (bound a)) (λ (x : ℝ), F x a) (ball x₀ ε),
{ apply (h_diff.and h_bound).mono,
rintros a ⟨ha_deriv, ha_bound⟩,
refine (convex_ball _ _).lipschitz_on_with_of_nnnorm_has_deriv_within_le
(λ x x_in, (ha_deriv x x_in).has_deriv_within_at) (λ x x_in, _),
rw [← nnreal.coe_le_coe, coe_nnnorm, real.coe_nnabs],
exact (ha_bound x x_in).trans (le_abs_self _) },
exact has_deriv_at_of_dominated_loc_of_lip ε_pos hF_meas hF_int hF'_meas this
bound_integrable diff_x₀
end
|
5f6d059b9ff75557da9ab03b18c753e8460d529b | 35677d2df3f081738fa6b08138e03ee36bc33cad | /src/analysis/convex/basic.lean | dccfd9860871d7225e6918546b3a435f3c834883 | [
"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 | 37,956 | lean | /-
Copyright (c) 2019 Alexander Bentkamp. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Alexander Bentkamp, Yury Kudriashov
-/
import data.complex.basic
import data.set.intervals
import tactic.interactive
import tactic.linarith
import linear_algebra.basic
import ring_theory.algebra
import algebra.pointwise
/-!
# Convex sets and functions on real vector spaces
In a real vector space, we define the following objects and properties.
* `segment x y` is the closed segment joining `x` and `y`.
* A set `s` is `convex` if for any two points `x y ∈ s` it includes `segment x y`;
* A function `f` is `convex_on` a set `s` if `s` is itself a convex set, and for any two points
`x y ∈ s` the segment joining `(x, f x)` to `(y, f y)` is (non-strictly) above the graph of `f`;
equivalently, `convex_on f s` means that the epigraph `{p : E × ℝ | p.1 ∈ s ∧ f p.1 ≤ p.2}`
is a convex set;
* Center mass of a finite set of points with prescribed weights.
* Convex hull of a set `s` is the minimal convex set that includes `s`.
* Standard simplex `std_simplex ι [fintype ι]` is the intersection of the positive quadrant with
the hyperplane `s.sum = 1` in the space `ι → ℝ`.
We also provide various equivalent versions of the definitions above, prove that some specific sets
are convex, and prove Jensen's inequality.
## Notations
We use the following local notations:
* `I = Icc (0:ℝ) 1`;
* `[x, y] = segment x y`.
They are defined using `local notation`, so they are not available outside of this file.
-/
universes u' u v w x
variables {E : Type u} {F : Type v} {ι : Type w} {ι' : Type x}
[add_comm_group E] [vector_space ℝ E] [add_comm_group F] [vector_space ℝ F]
{s : set E}
open set
open_locale classical
local notation `I` := (Icc 0 1 : set ℝ)
local attribute [instance] set.pointwise_add set.smul_set
section sets
/-! ### Segment -/
/-- Segments in a vector space -/
def segment (x y : E) : set E :=
{z : E | ∃ (a b : ℝ) (ha : 0 ≤ a) (hb : 0 ≤ b) (hab : a + b = 1), a • x + b • y = z}
local notation `[`x `, ` y `]` := segment x y
lemma segment_symm (x y : E) : [x, y] = [y, x] :=
set.ext $ λ z,
⟨λ ⟨a, b, ha, hb, hab, H⟩, ⟨b, a, hb, ha, (add_comm _ _).trans hab, (add_comm _ _).trans H⟩,
λ ⟨a, b, ha, hb, hab, H⟩, ⟨b, a, hb, ha, (add_comm _ _).trans hab, (add_comm _ _).trans H⟩⟩
lemma left_mem_segment (x y : E) : x ∈ [x, y] :=
⟨1, 0, zero_le_one, le_refl 0, add_zero 1, by rw [zero_smul, one_smul, add_zero]⟩
lemma right_mem_segment (x y : E) : y ∈ [x, y] :=
segment_symm y x ▸ left_mem_segment y x
lemma segment_same (x : E) : [x, x] = {x} :=
set.ext $ λ z, ⟨λ ⟨a, b, ha, hb, hab, hz⟩,
by simpa only [(add_smul _ _ _).symm, mem_singleton_iff, hab, one_smul, eq_comm] using hz,
λ h, mem_singleton_iff.1 h ▸ left_mem_segment z z⟩
lemma segment_eq_image (x y : E) : segment x y = (λ (θ : ℝ), (1 - θ) • x + θ • y) '' I :=
set.ext $ λ z,
⟨λ ⟨a, b, ha, hb, hab, hz⟩,
⟨b, ⟨hb, hab ▸ le_add_of_nonneg_left ha⟩, hab ▸ hz ▸ by simp only [add_sub_cancel]⟩,
λ ⟨θ, ⟨hθ₀, hθ₁⟩, hz⟩, ⟨1-θ, θ, sub_nonneg.2 hθ₁, hθ₀, sub_add_cancel _ _, hz⟩⟩
lemma segment_eq_image' (x y : E) : segment x y = (λ (θ : ℝ), x + θ • (y - x)) '' I :=
by { convert segment_eq_image x y, ext θ, simp only [smul_sub, sub_smul, one_smul], abel }
lemma segment_eq_image₂ (x y : E) :
segment x y = (λ p:ℝ×ℝ, p.1 • x + p.2 • y) '' {p | 0 ≤ p.1 ∧ 0 ≤ p.2 ∧ p.1 + p.2 = 1} :=
by simp only [segment, image, prod.exists, mem_set_of_eq, exists_prop, and_assoc]
lemma segment_eq_Icc {a b : ℝ} (h : a ≤ b) : [a, b] = Icc a b :=
begin
rw [segment_eq_image'],
show (((+) a) ∘ (λ t, t * (b - a))) '' Icc 0 1 = Icc a b,
rw [image_comp, image_mul_right_Icc (@zero_le_one ℝ _) (sub_nonneg.2 h), image_add_left_Icc],
simp
end
lemma segment_eq_Icc' (a b : ℝ) : [a, b] = Icc (min a b) (max a b) :=
by cases le_total a b; [skip, rw segment_symm]; simp [segment_eq_Icc, *]
lemma segment_eq_interval (a b : ℝ) : segment a b = interval a b :=
segment_eq_Icc' _ _
lemma mem_segment_translate (a : E) {x b c} : a + x ∈ [a + b, a + c] ↔ x ∈ [b, c] :=
begin
rw [segment_eq_image', segment_eq_image'],
refine exists_congr (λ θ, and_congr iff.rfl _),
simp only [add_sub_add_left_eq_sub, add_assoc, add_left_inj]
end
lemma segment_translate_preimage (a b c : E) : (λ x, a + x) ⁻¹' [a + b, a + c] = [b, c] :=
set.ext $ λ x, mem_segment_translate a
lemma segment_translate_image (a b c: E) : (λx, a + x) '' [b, c] = [a + b, a + c] :=
segment_translate_preimage a b c ▸ image_preimage_eq $ add_left_surjective a
/-! ### Convexity of sets -/
/-- Convexity of sets -/
def convex (s : set E) :=
∀ ⦃x y : E⦄, x ∈ s → y ∈ s → ∀ ⦃a b : ℝ⦄, 0 ≤ a → 0 ≤ b → a + b = 1 →
a • x + b • y ∈ s
lemma convex_iff_forall_pos :
convex s ↔ ∀ ⦃x y⦄, x ∈ s → y ∈ s → ∀ ⦃a b : ℝ⦄, 0 < a → 0 < b → a + b = 1 → a • x + b • y ∈ s :=
begin
refine ⟨λ h x y hx hy a b ha hb hab, h hx hy (le_of_lt ha) (le_of_lt hb) hab, _⟩,
intros h x y hx hy a b ha hb hab,
cases eq_or_lt_of_le ha with ha ha,
{ subst a, rw [zero_add] at hab, simp [hab, hy] },
cases eq_or_lt_of_le hb with hb hb,
{ subst b, rw [add_zero] at hab, simp [hab, hx] },
exact h hx hy ha hb hab
end
lemma convex_iff_segment_subset : convex s ↔ ∀ ⦃x y⦄, x ∈ s → y ∈ s → [x, y] ⊆ s :=
by simp only [convex, segment_eq_image₂, subset_def, ball_image_iff, prod.forall,
mem_set_of_eq, and_imp]
lemma convex.segment_subset (h : convex s) {x y:E} (hx : x ∈ s) (hy : y ∈ s) : [x, y] ⊆ s :=
convex_iff_segment_subset.1 h hx hy
/-- Alternative definition of set convexity, in terms of pointwise set operations. -/
lemma convex_iff_pointwise_add_subset:
convex s ↔ ∀ ⦃a b : ℝ⦄, 0 ≤ a → 0 ≤ b → a + b = 1 → a • s + b • s ⊆ s :=
iff.intro
begin
rintros hA a b ha hb hab w ⟨au, ⟨u, hu, rfl⟩, bv, ⟨v, hv, rfl⟩, rfl⟩,
exact hA hu hv ha hb hab
end
(λ h x y hx hy a b ha hb hab,
(h ha hb hab) (set.add_mem_pointwise_add ⟨_, hx, rfl⟩ ⟨_, hy, rfl⟩))
/-- Alternative definition of set convexity, using division -/
lemma convex_iff_div:
convex s ↔ ∀ ⦃x y : E⦄, x ∈ s → y ∈ s → ∀ ⦃a b : ℝ⦄,
0 ≤ a → 0 ≤ b → 0 < a + b → (a/(a+b)) • x + (b/(a+b)) • y ∈ s :=
⟨begin
assume h x y hx hy a b ha hb hab,
apply h hx hy,
have ha', from mul_le_mul_of_nonneg_left ha (le_of_lt (inv_pos.2 hab)),
rwa [mul_zero, ←div_eq_inv_mul'] at ha',
have hb', from mul_le_mul_of_nonneg_left hb (le_of_lt (inv_pos.2 hab)),
rwa [mul_zero, ←div_eq_inv_mul'] at hb',
rw [←add_div],
exact div_self (ne_of_lt hab).symm
end,
begin
assume h x y hx hy a b ha hb hab,
have h', from h hx hy ha hb,
rw [hab, div_one, div_one] at h',
exact h' zero_lt_one
end⟩
/-! ### Examples of convex sets -/
lemma convex_empty : convex (∅ : set E) := by finish
lemma convex_singleton (c : E) : convex ({c} : set E) :=
begin
intros x y hx hy a b ha hb hab,
rw [set.eq_of_mem_singleton hx, set.eq_of_mem_singleton hy, ←add_smul, hab, one_smul],
exact mem_singleton c
end
lemma convex_univ : convex (set.univ : set E) := λ _ _ _ _ _ _ _ _ _, trivial
lemma convex.inter {t : set E} (hs: convex s) (ht: convex t) : convex (s ∩ t) :=
λ x y (hx : x ∈ s ∩ t) (hy : y ∈ s ∩ t) a b (ha : 0 ≤ a) (hb : 0 ≤ b) (hab : a + b = 1),
⟨hs hx.left hy.left ha hb hab, ht hx.right hy.right ha hb hab⟩
lemma convex_sInter {S : set (set E)} (h : ∀ s ∈ S, convex s) : convex (⋂₀ S) :=
assume x y hx hy a b ha hb hab s hs,
h s hs (hx s hs) (hy s hs) ha hb hab
lemma convex_Inter {ι : Sort*} {s: ι → set E} (h: ∀ i : ι, convex (s i)) : convex (⋂ i, s i) :=
(sInter_range s) ▸ convex_sInter $ forall_range_iff.2 h
lemma convex.prod {s : set E} {t : set F} (hs : convex s) (ht : convex t) :
convex (s.prod t) :=
begin
intros x y hx hy a b ha hb hab,
apply mem_prod.2,
exact ⟨hs (mem_prod.1 hx).1 (mem_prod.1 hy).1 ha hb hab,
ht (mem_prod.1 hx).2 (mem_prod.1 hy).2 ha hb hab⟩
end
lemma convex.is_linear_image (hs : convex s) {f : E → F} (hf : is_linear_map ℝ f) :
convex (f '' s) :=
begin
rintros _ _ ⟨x, hx, rfl⟩ ⟨y, hy, rfl⟩ a b ha hb hab,
exact ⟨a • x + b • y, hs hx hy ha hb hab, by simp only [hf.add,hf.smul]⟩
end
lemma convex.linear_image (hs : convex s) (f : E →ₗ[ℝ] F) : convex (image f s) :=
hs.is_linear_image f.is_linear
lemma convex.is_linear_preimage {s : set F} (hs : convex s) {f : E → F} (hf : is_linear_map ℝ f) :
convex (preimage f s) :=
begin
intros x y hx hy a b ha hb hab,
convert hs hx hy ha hb hab,
simp only [mem_preimage, hf.add, hf.smul]
end
lemma convex.linear_preimage {s : set F} (hs : convex s) (f : E →ₗ[ℝ] F) :
convex (preimage f s) :=
hs.is_linear_preimage f.is_linear
lemma convex.neg (hs : convex s) : convex ((λ z, -z) '' s) :=
hs.is_linear_image is_linear_map.is_linear_map_neg
lemma convex.neg_preimage (hs : convex s) : convex ((λ z, -z) ⁻¹' s) :=
hs.is_linear_preimage is_linear_map.is_linear_map_neg
lemma convex.smul (c : ℝ) (hs : convex s) : convex (c • s) :=
begin
rw smul_set_eq_image,
exact hs.is_linear_image (is_linear_map.is_linear_map_smul c)
end
lemma convex.smul_preimage (c : ℝ) (hs : convex s) : convex ((λ z, c • z) ⁻¹' s) :=
hs.is_linear_preimage (is_linear_map.is_linear_map_smul c)
lemma convex.add {t : set E} (hs : convex s) (ht : convex t) : convex (s + t) :=
by { rw pointwise_add_eq_image, exact (hs.prod ht).is_linear_image is_linear_map.is_linear_map_add }
lemma convex.sub {t : set E} (hs : convex s) (ht : convex t) :
convex ((λx : E × E, x.1 - x.2) '' (s.prod t)) :=
(hs.prod ht).is_linear_image is_linear_map.is_linear_map_sub
lemma convex.translate (hs : convex s) (z : E) : convex ((λx, z + x) '' s) :=
begin
convert (convex_singleton z).add hs,
ext x,
simp [set.mem_image, mem_pointwise_add, eq_comm]
end
lemma convex.affinity (hs : convex s) (z : E) (c : ℝ) : convex ((λx, z + c • x) '' s) :=
begin
convert (hs.smul c).translate z using 1,
erw [smul_set_eq_image, ←image_comp]
end
lemma convex_real_iff {s : set ℝ} :
convex s ↔ ∀ {x y}, x ∈ s → y ∈ s → Icc x y ⊆ s :=
begin
simp only [convex_iff_segment_subset, segment_eq_Icc'],
split; intros h x y hx hy,
{ cases le_or_lt x y with hxy hxy,
{ simpa [hxy] using h hx hy },
{ simp [hxy] } },
{ apply h; cases le_total x y; simp [*] }
end
lemma convex_Iio (r : ℝ) : convex (Iio r) :=
convex_real_iff.2 $ λ x y hx hy z hz, lt_of_le_of_lt hz.2 hy
lemma convex_Ioi (r : ℝ) : convex (Ioi r) :=
convex_real_iff.2 $ λ x y hx hy z hz, lt_of_lt_of_le hx hz.1
lemma convex_Iic (r : ℝ) : convex (Iic r) :=
convex_real_iff.2 $ λ x y hx hy z hz, le_trans hz.2 hy
lemma convex_Ici (r : ℝ) : convex (Ici r) :=
convex_real_iff.2 $ λ x y hx hy z hz, le_trans hx hz.1
lemma convex_Ioo (r : ℝ) (s : ℝ) : convex (Ioo r s) :=
(convex_Ioi _).inter (convex_Iio _)
lemma convex_Ico (r : ℝ) (s : ℝ) : convex (Ico r s) :=
(convex_Ici _).inter (convex_Iio _)
lemma convex_Ioc (r : ℝ) (s : ℝ) : convex (Ioc r s) :=
(convex_Ioi _).inter (convex_Iic _)
lemma convex_Icc (r : ℝ) (s : ℝ) : convex (Icc r s) :=
(convex_Ici _).inter (convex_Iic _)
lemma convex_segment (a b : E) : convex [a, b] :=
begin
have : (λ (t : ℝ), a + t • (b - a)) = (λz : E, a + z) ∘ (λt:ℝ, t • (b - a)) := rfl,
rw [segment_eq_image', this, image_comp],
refine ((convex_Icc _ _).is_linear_image _).translate _,
exact is_linear_map.is_linear_map_smul' _
end
lemma convex_halfspace_lt {f : E → ℝ} (h : is_linear_map ℝ f) (r : ℝ) :
convex {w | f w < r} :=
(convex_Iio r).is_linear_preimage h
lemma convex_halfspace_le {f : E → ℝ} (h : is_linear_map ℝ f) (r : ℝ) :
convex {w | f w ≤ r} :=
(convex_Iic r).is_linear_preimage h
lemma convex_halfspace_gt {f : E → ℝ} (h : is_linear_map ℝ f) (r : ℝ) :
convex {w | r < f w} :=
(convex_Ioi r).is_linear_preimage h
lemma convex_halfspace_ge {f : E → ℝ} (h : is_linear_map ℝ f) (r : ℝ) :
convex {w | r ≤ f w} :=
(convex_Ici r).is_linear_preimage h
lemma convex_hyperplane {f : E → ℝ} (h : is_linear_map ℝ f) (r : ℝ) :
convex {w | f w = r} :=
begin
show convex (f ⁻¹' {p | p = r}),
rw set_of_eq_eq_singleton,
exact (convex_singleton r).is_linear_preimage h
end
lemma convex_halfspace_re_lt (r : ℝ) : convex {c : ℂ | c.re < r} :=
convex_halfspace_lt (is_linear_map.mk complex.add_re complex.smul_re) _
lemma convex_halfspace_re_le (r : ℝ) : convex {c : ℂ | c.re ≤ r} :=
convex_halfspace_le (is_linear_map.mk complex.add_re complex.smul_re) _
lemma convex_halfspace_re_gt (r : ℝ) : convex {c : ℂ | r < c.re } :=
convex_halfspace_gt (is_linear_map.mk complex.add_re complex.smul_re) _
lemma convex_halfspace_re_lge (r : ℝ) : convex {c : ℂ | r ≤ c.re} :=
convex_halfspace_ge (is_linear_map.mk complex.add_re complex.smul_re) _
lemma convex_halfspace_im_lt (r : ℝ) : convex {c : ℂ | c.im < r} :=
convex_halfspace_lt (is_linear_map.mk complex.add_im complex.smul_im) _
lemma convex_halfspace_im_le (r : ℝ) : convex {c : ℂ | c.im ≤ r} :=
convex_halfspace_le (is_linear_map.mk complex.add_im complex.smul_im) _
lemma convex_halfspace_im_gt (r : ℝ) : convex {c : ℂ | r < c.im } :=
convex_halfspace_gt (is_linear_map.mk complex.add_im complex.smul_im) _
lemma convex_halfspace_im_lge (r : ℝ) : convex {c : ℂ | r ≤ c.im} :=
convex_halfspace_ge (is_linear_map.mk complex.add_im complex.smul_im) _
section submodule
open submodule
lemma submodule.convex (K : submodule ℝ E) : convex (↑K : set E) :=
by { repeat {intro}, refine add_mem _ (smul_mem _ _ _) (smul_mem _ _ _); assumption }
lemma subspace.convex (K : subspace ℝ E) : convex (↑K : set E) := K.convex
end submodule
end sets
section functions
local notation `[`x `, ` y `]` := segment x y
/-! ### Convex functions -/
/-- Convexity of functions -/
def convex_on (s : set E) (f : E → ℝ) : Prop :=
convex s ∧
∀ ⦃x y : E⦄, x ∈ s → y ∈ s → ∀ ⦃a b : ℝ⦄, 0 ≤ a → 0 ≤ b → a + b = 1 →
f (a • x + b • y) ≤ a * f x + b * f y
variables {t : set E} {f g : E → ℝ}
lemma convex_on_iff_div:
convex_on s f ↔ convex s ∧ ∀ ⦃x y : E⦄, x ∈ s → y ∈ s → ∀ ⦃a b : ℝ⦄, 0 ≤ a → 0 ≤ b → 0 < a + b →
f ((a/(a+b)) • x + (b/(a+b)) • y) ≤ (a/(a+b)) * f x + (b/(a+b)) * f y :=
and_congr iff.rfl
⟨begin
intros h x y hx hy a b ha hb hab,
apply h hx hy (div_nonneg ha hab) (div_nonneg hb hab),
rw [←add_div],
exact div_self (ne_of_gt hab)
end,
begin
intros h x y hx hy a b ha hb hab,
simpa [hab, zero_lt_one] using h hx hy ha hb,
end⟩
/-- For a function on a convex set in a linear ordered space, in order to prove that it is convex
it suffices to verify the inequality `f (a • x + b • y) ≤ a * f x + b * f y` only for `x < y`
and positive `a`, `b`. The main use case is `E = ℝ` however one can apply it, e.g., to `ℝ^n` with
lexicographic order. -/
lemma linear_order.convex_on_of_lt [linear_order E] (hs : convex s)
(hf : ∀ ⦃x y : E⦄, x ∈ s → y ∈ s → x < y → ∀ ⦃a b : ℝ⦄, 0 < a → 0 < b → a + b = 1 →
f (a • x + b • y) ≤ a * f x + b * f y) : convex_on s f :=
begin
use hs,
intros x y hx hy a b ha hb hab,
wlog hxy : x<=y using [x y a b, y x b a],
{ exact le_total _ _ },
{ cases eq_or_lt_of_le hxy with hxy hxy,
by { subst y, rw [← add_smul, ← add_mul, hab, one_smul, one_mul] },
cases eq_or_lt_of_le ha with ha ha,
by { subst a, rw [zero_add] at hab, subst b, simp },
cases eq_or_lt_of_le hb with hb hb,
by { subst b, rw [add_zero] at hab, subst a, simp },
exact hf hx hy hxy ha hb hab }
end
/-- For a function `f` defined on a convex subset `D` of `ℝ`, if for any three points `x<y<z`
the slope of the secant line of `f` on `[x, y]` is less than or equal to the slope
of the secant line of `f` on `[x, z]`, then `f` is convex on `D`. This way of proving convexity
of a function is used in the proof of convexity of a function with a monotone derivative. -/
lemma convex_on_real_of_slope_mono_adjacent {s : set ℝ} (hs : convex s) {f : ℝ → ℝ}
(hf : ∀ {x y z : ℝ}, x ∈ s → z ∈ s → x < y → y < z →
(f y - f x) / (y - x) ≤ (f z - f y) / (z - y)) :
convex_on s f :=
linear_order.convex_on_of_lt hs
begin
assume x z hx hz hxz a b ha hb hab,
let y := a * x + b * z,
have hxy : x < y,
{ rw [← one_mul x, ← hab, add_mul],
exact add_lt_add_left ((mul_lt_mul_left hb).2 hxz) _ },
have hyz : y < z,
{ rw [← one_mul z, ← hab, add_mul],
exact add_lt_add_right ((mul_lt_mul_left ha).2 hxz) _ },
have : (f y - f x) * (z - y) ≤ (f z - f y) * (y - x),
from (div_le_div_iff (sub_pos.2 hxy) (sub_pos.2 hyz)).1 (hf hx hz hxy hyz),
have A : z - y + (y - x) = z - x, by abel,
have B : 0 < z - x, from sub_pos.2 (lt_trans hxy hyz),
rw [sub_mul, sub_mul, sub_le_iff_le_add', ← add_sub_assoc, le_sub_iff_add_le, ← mul_add, A,
← le_div_iff B, add_div, mul_div_assoc, mul_div_assoc,
mul_comm (f x), mul_comm (f z)] at this,
rw [eq_comm, ← sub_eq_iff_eq_add] at hab; subst a,
convert this; symmetry; simp only [div_eq_iff (ne_of_gt B), y]; ring
end
lemma convex_on.subset (h_convex_on : convex_on t f) (h_subset : s ⊆ t) (h_convex : convex s) :
convex_on s f :=
begin
apply and.intro h_convex,
intros x y hx hy,
exact h_convex_on.2 (h_subset hx) (h_subset hy),
end
lemma convex_on.add (hf : convex_on s f) (hg : convex_on s g) : convex_on s (λx, f x + g x) :=
begin
apply and.intro hf.1,
intros x y hx hy a b ha hb hab,
calc
f (a • x + b • y) + g (a • x + b • y) ≤ (a * f x + b * f y) + (a * g x + b * g y)
: add_le_add (hf.2 hx hy ha hb hab) (hg.2 hx hy ha hb hab)
... = a * f x + a * g x + b * f y + b * g y : by linarith
... = a * (f x + g x) + b * (f y + g y) : by simp [mul_add]
end
lemma convex_on.smul {c : ℝ} (hc : 0 ≤ c) (hf : convex_on s f) : convex_on s (λx, c * f x) :=
begin
apply and.intro hf.1,
intros x y hx hy a b ha hb hab,
calc
c * f (a • x + b • y) ≤ c * (a * f x + b * f y)
: mul_le_mul_of_nonneg_left (hf.2 hx hy ha hb hab) hc
... = a * (c * f x) + b * (c * f y) : by rw mul_add; ac_refl
end
lemma convex_on.le_on_segment' {x y : E} {a b : ℝ}
(hf : convex_on s f) (hx : x ∈ s) (hy : y ∈ s) (ha : 0 ≤ a) (hb : 0 ≤ b) (hab : a + b = 1) :
f (a • x + b • y) ≤ max (f x) (f y) :=
calc
f (a • x + b • y) ≤ a * f x + b * f y : hf.2 hx hy ha hb hab
... ≤ a * max (f x) (f y) + b * max (f x) (f y) :
add_le_add (mul_le_mul_of_nonneg_left (le_max_left _ _) ha) (mul_le_mul_of_nonneg_left (le_max_right _ _) hb)
... ≤ max (f x) (f y) : by rw [←add_mul, hab, one_mul]
lemma convex_on.le_on_segment (hf : convex_on s f) {x y z : E}
(hx : x ∈ s) (hy : y ∈ s) (hz : z ∈ [x, y]) :
f z ≤ max (f x) (f y) :=
let ⟨a, b, ha, hb, hab, hz⟩ := hz in hz ▸ hf.le_on_segment' hx hy ha hb hab
lemma convex_on.convex_le (hf : convex_on s f) (r : ℝ) : convex {x ∈ s | f x ≤ r} :=
convex_iff_segment_subset.2 $ λ x y hx hy z hz,
⟨hf.1.segment_subset hx.1 hy.1 hz,
le_trans (hf.le_on_segment hx.1 hy.1 hz) $ max_le hx.2 hy.2⟩
lemma convex_on.convex_lt (hf : convex_on s f) (r : ℝ) : convex {x ∈ s | f x < r} :=
convex_iff_segment_subset.2 $ λ x y hx hy z hz,
⟨hf.1.segment_subset hx.1 hy.1 hz,
lt_of_le_of_lt (hf.le_on_segment hx.1 hy.1 hz) $ max_lt hx.2 hy.2⟩
lemma convex_on.convex_epigraph (hf : convex_on s f) :
convex {p : E × ℝ | p.1 ∈ s ∧ f p.1 ≤ p.2} :=
begin
rintros ⟨x, r⟩ ⟨y, t⟩ ⟨hx, hr⟩ ⟨hy, ht⟩ a b ha hb hab,
refine ⟨hf.1 hx hy ha hb hab, _⟩,
calc f (a • x + b • y) ≤ a * f x + b * f y : hf.2 hx hy ha hb hab
... ≤ a * r + b * t : add_le_add (mul_le_mul_of_nonneg_left hr ha)
(mul_le_mul_of_nonneg_left ht hb)
end
lemma convex_on_iff_convex_epigraph : convex_on s f ↔ convex {p : E × ℝ | p.1 ∈ s ∧ f p.1 ≤ p.2} :=
begin
refine ⟨convex_on.convex_epigraph, λ h, ⟨_, _⟩⟩,
{ assume x y hx hy a b ha hb hab,
exact (@h (x, f x) (y, f y) ⟨hx, le_refl _⟩ ⟨hy, le_refl _⟩ a b ha hb hab).1 },
{ assume x y hx hy a b ha hb hab,
exact (@h (x, f x) (y, f y) ⟨hx, le_refl _⟩ ⟨hy, le_refl _⟩ a b ha hb hab).2 }
end
end functions
section center_mass
/-- Center mass of a finite collection of points with prescribed weights.
Note that we require neither `0 ≤ w i` nor `∑ w = 1`. -/
noncomputable def finset.center_mass (t : finset ι) (w : ι → ℝ) (z : ι → E) : E :=
(t.sum w)⁻¹ • (t.sum (λ i, w i • z i))
variables (i j : ι) (c : ℝ) (t : finset ι) (w : ι → ℝ) (z : ι → E)
open finset (hiding singleton)
lemma finset.center_mass_empty : (∅ : finset ι).center_mass w z = 0 :=
by simp only [center_mass, sum_empty, smul_zero]
lemma finset.center_mass_pair (hne : i ≠ j) :
({i, j} : finset ι).center_mass w z = (w i / (w i + w j)) • z i + (w j / (w i + w j)) • z j :=
by simp only [center_mass, sum_pair hne, smul_add, (mul_smul _ _ _).symm, div_eq_inv_mul']
variable {w}
lemma finset.center_mass_insert (ha : i ∉ t) (hw : t.sum w ≠ 0) :
(insert i t).center_mass w z = (w i / (w i + t.sum w)) • z i +
(t.sum w / (w i + t.sum w)) • t.center_mass w z :=
begin
simp only [center_mass, sum_insert ha, smul_add, (mul_smul _ _ _).symm],
congr' 2,
{ apply mul_comm },
{ rw [div_mul_eq_mul_div, mul_inv_cancel hw, one_div_eq_inv] }
end
lemma finset.center_mass_singleton (hw : w i ≠ 0) : (finset.singleton i).center_mass w z = z i :=
by rw [center_mass, sum_singleton, sum_singleton, ← mul_smul, inv_mul_cancel hw, one_smul]
lemma finset.center_mass_eq_of_sum_1 (hw : t.sum w = 1) :
t.center_mass w z = t.sum (λ i, w i • z i) :=
by simp only [finset.center_mass, hw, inv_one, one_smul]
lemma finset.center_mass_smul : t.center_mass w (λ i, c • z i) = c • t.center_mass w z :=
by simp only [finset.center_mass, finset.smul_sum, (mul_smul _ _ _).symm, mul_comm c, mul_assoc]
/-- A convex combination of two centers of mass is a center of mass as well. This version
deals with two different index types. -/
lemma finset.center_mass_segment'
(s : finset ι) (t : finset ι') (ws : ι → ℝ) (zs : ι → E) (wt : ι' → ℝ) (zt : ι' → E)
(hws : s.sum ws = 1) (hwt : t.sum wt = 1) (a b : ℝ) (hab : a + b = 1):
a • s.center_mass ws zs + b • t.center_mass wt zt =
(s.image sum.inl ∪ t.image sum.inr).center_mass
(sum.elim (λ i, a * ws i) (λ j, b * wt j))
(sum.elim zs zt) :=
begin
rw [s.center_mass_eq_of_sum_1 _ hws, t.center_mass_eq_of_sum_1 _ hwt,
smul_sum, smul_sum, ← finset.sum_sum_elim, finset.center_mass_eq_of_sum_1],
{ congr, ext i, cases i; simp only [sum.elim_inl, sum.elim_inr, mul_smul] },
{ rw [sum_sum_elim, ← mul_sum, ← mul_sum, hws, hwt, mul_one, mul_one, hab] }
end
/-- A convex combination of two centers of mass is a center of mass as well. This version
works if two centers of mass share the set of original points. -/
lemma finset.center_mass_segment
(s : finset ι) (w₁ w₂ : ι → ℝ) (z : ι → E)
(hw₁ : s.sum w₁ = 1) (hw₂ : s.sum w₂ = 1) (a b : ℝ) (hab : a + b = 1):
a • s.center_mass w₁ z + b • s.center_mass w₂ z =
s.center_mass (λ i, a * w₁ i + b * w₂ i) z :=
have hw : s.sum (λ i, a * w₁ i + b * w₂ i) = 1,
by simp only [mul_sum.symm, sum_add_distrib, mul_one, *],
by simp only [finset.center_mass_eq_of_sum_1, smul_sum, sum_add_distrib, add_smul, mul_smul, *]
lemma finset.center_mass_ite_eq (hi : i ∈ t) :
t.center_mass (λ j, if (i = j) then 1 else 0) z = z i :=
begin
rw [finset.center_mass_eq_of_sum_1],
transitivity t.sum (λ j, if (i = j) then z i else 0),
{ congr, ext i, split_ifs, exacts [h ▸ one_smul _ _, zero_smul _ _] },
{ rw [sum_ite_eq, if_pos hi] },
{ rw [sum_ite_eq, if_pos hi] }
end
variables {t w}
lemma finset.center_mass_subset {t' : finset ι} (ht : t ⊆ t')
(h : ∀ i ∈ t', i ∉ t → w i = 0) :
t.center_mass w z = t'.center_mass w z :=
begin
rw [center_mass, sum_subset ht h, smul_sum, center_mass, smul_sum],
apply sum_subset ht,
assume i hit' hit,
rw [h i hit' hit, zero_smul, smul_zero]
end
lemma finset.center_mass_filter_ne_zero :
(t.filter (λ i, w i ≠ 0)).center_mass w z = t.center_mass w z :=
finset.center_mass_subset z (filter_subset _) $ λ i hit hit',
by simpa only [hit, mem_filter, true_and, ne.def, not_not] using hit'
variable {z}
/-- Center mass of a finite subset of a convex set belongs to the set
provided that all weights are non-negative, and the total weight is positive. -/
lemma convex.center_mass_mem (hs : convex s) :
(∀ i ∈ t, 0 ≤ w i) → (0 < t.sum w) → (∀ i ∈ t, z i ∈ s) → t.center_mass w z ∈ s :=
begin
refine finset.induction (by simp [lt_irrefl]) (λ i t hi ht h₀ hpos hmem, _) t,
have zi : z i ∈ s, from hmem _ (mem_insert_self _ _),
have hs₀ : ∀ j ∈ t, 0 ≤ w j, from λ j hj, h₀ j $ mem_insert_of_mem hj,
rw [sum_insert hi] at hpos,
by_cases hsum_t : t.sum w = 0,
{ have ws : ∀ j ∈ t, w j = 0, from (sum_eq_zero_iff_of_nonneg hs₀).1 hsum_t,
have wz : t.sum (λ j, w j • z j) = 0, from sum_eq_zero (λ i hi, by simp [ws i hi]),
simp only [center_mass, sum_insert hi, wz, hsum_t, add_zero],
simp only [hsum_t, add_zero] at hpos,
rw [← mul_smul, inv_mul_cancel (ne_of_gt hpos), one_smul],
exact zi },
{ rw [finset.center_mass_insert _ _ _ hi hsum_t],
refine convex_iff_div.1 hs zi (ht hs₀ _ _) _ (sum_nonneg hs₀) hpos,
{ exact lt_of_le_of_ne (sum_nonneg hs₀) (ne.symm hsum_t) },
{ intros j hj, exact hmem j (mem_insert_of_mem hj) },
{ exact h₀ _ (mem_insert_self _ _) } }
end
lemma convex.sum_mem (hs : convex s) (h₀ : ∀ i ∈ t, 0 ≤ w i) (h₁ : t.sum w = 1)
(hz : ∀ i ∈ t, z i ∈ s) :
t.sum (λ i, w i • z i) ∈ s :=
by simpa only [h₁, center_mass, inv_one, one_smul] using
hs.center_mass_mem h₀ (h₁.symm ▸ zero_lt_one) hz
lemma convex_iff_sum_mem :
convex s ↔
(∀ (t : finset E) (w : E → ℝ),
(∀ i ∈ t, 0 ≤ w i) → t.sum w = 1 → (∀ x ∈ t, x ∈ s) → t.sum (λx, w x • x) ∈ s ) :=
begin
refine ⟨λ hs t w hw₀ hw₁ hts, hs.sum_mem hw₀ hw₁ hts, _⟩,
intros h x y hx hy a b ha hb hab,
by_cases h_cases: x = y,
{ rw [h_cases, ←add_smul, hab, one_smul], exact hy },
{ convert h {x, y} (λ z, if z = y then b else a) _ _ _,
{ simp only [sum_pair h_cases, if_neg h_cases, if_pos rfl] },
{ simp_intros i hi,
cases hi; subst i; simp [ha, hb, if_neg h_cases] },
{ simp only [sum_pair h_cases, if_neg h_cases, if_pos rfl, hab] },
{ simp_intros i hi,
cases hi; subst i; simp [hx, hy, if_neg h_cases] } }
end
/-- Jensen's inequality, `finset.center_mass` version. -/
lemma convex_on.map_center_mass_le {f : E → ℝ} (hf : convex_on s f)
(h₀ : ∀ i ∈ t, 0 ≤ w i) (hpos : 0 < t.sum w)
(hmem : ∀ i ∈ t, z i ∈ s) : f (t.center_mass w z) ≤ t.center_mass w (f ∘ z) :=
begin
have hmem' : ∀ i ∈ t, (z i, (f ∘ z) i) ∈ {p : E × ℝ | p.1 ∈ s ∧ f p.1 ≤ p.2},
from λ i hi, ⟨hmem i hi, le_refl _⟩,
convert (hf.convex_epigraph.center_mass_mem h₀ hpos hmem').2;
simp only [center_mass, function.comp, prod.smul_fst, prod.fst_sum, prod.smul_snd, prod.snd_sum]
end
/-- Jensen's inequality, `finset.sum` version. -/
lemma convex_on.map_sum_le {f : E → ℝ} (hf : convex_on s f)
(h₀ : ∀ i ∈ t, 0 ≤ w i) (h₁ : t.sum w = 1)
(hmem : ∀ i ∈ t, z i ∈ s) : f (t.sum (λ i, w i • z i)) ≤ t.sum (λ i, w i * (f (z i))) :=
by simpa only [center_mass, h₁, inv_one, one_smul]
using hf.map_center_mass_le h₀ (h₁.symm ▸ zero_lt_one) hmem
/-- If a function `f` is convex on `s` takes value `y` at the center mass of some points
`z i ∈ s`, then for some `i` we have `y ≤ f (z i)`. -/
lemma convex_on.exists_ge_of_center_mass {f : E → ℝ} (h : convex_on s f)
(hw₀ : ∀ i ∈ t, 0 ≤ w i) (hws : 0 < t.sum w) (hz : ∀ i ∈ t, z i ∈ s) :
∃ i ∈ t, f (t.center_mass w z) ≤ f (z i) :=
begin
set y := t.center_mass w z,
have : f y ≤ t.center_mass w (f ∘ z) := h.map_center_mass_le hw₀ hws hz,
rw ← sum_filter_ne_zero at hws,
rw [← finset.center_mass_filter_ne_zero (f ∘ z), center_mass, smul_eq_mul,
← div_eq_inv_mul', le_div_iff hws, mul_sum] at this,
replace : ∃ i ∈ t.filter (λ i, w i ≠ 0), f y * w i ≤ w i • (f ∘ z) i :=
exists_le_of_sum_le (nonempty_of_sum_ne_zero (ne_of_gt hws)) this,
rcases this with ⟨i, hi, H⟩,
rw [mem_filter] at hi,
use [i, hi.1],
simp only [smul_eq_mul, mul_comm (w i)] at H,
refine (mul_le_mul_right _).1 H,
exact lt_of_le_of_ne (hw₀ i hi.1) hi.2.symm
end
end center_mass
section convex_hull
variable {t : set E}
/-- Convex hull of a set `s` is the minimal convex set that includes `s` -/
def convex_hull (s : set E) : set E :=
⋂ (t : set E) (hst : s ⊆ t) (ht : convex t), t
variable (s)
lemma subset_convex_hull : s ⊆ convex_hull s :=
set.subset_Inter $ λ t, set.subset_Inter $ λ hst, set.subset_Inter $ λ ht, hst
lemma convex_convex_hull : convex (convex_hull s) :=
convex_Inter $ λ t, convex_Inter $ λ ht, convex_Inter id
variable {s}
lemma convex_hull_min (hst : s ⊆ t) (ht : convex t) : convex_hull s ⊆ t :=
set.Inter_subset_of_subset t $ set.Inter_subset_of_subset hst $ set.Inter_subset _ ht
lemma convex_hull_mono (hst : s ⊆ t) : convex_hull s ⊆ convex_hull t :=
convex_hull_min (set.subset.trans hst $ subset_convex_hull t) (convex_convex_hull t)
lemma convex.convex_hull_eq {s : set E} (hs : convex s) : convex_hull s = s :=
set.subset.antisymm (convex_hull_min (set.subset.refl _) hs) (subset_convex_hull s)
lemma is_linear_map.image_convex_hull {f : E → F} (hf : is_linear_map ℝ f) :
f '' (convex_hull s) = convex_hull (f '' s) :=
begin
refine set.subset.antisymm _ _,
{ rw [set.image_subset_iff],
exact convex_hull_min (set.image_subset_iff.1 $ subset_convex_hull $ f '' s)
((convex_convex_hull (f '' s)).is_linear_preimage hf) },
{ exact convex_hull_min (set.image_subset _ $ subset_convex_hull s)
((convex_convex_hull s).is_linear_image hf) }
end
lemma linear_map.image_convex_hull (f : E →ₗ[ℝ] F) :
f '' (convex_hull s) = convex_hull (f '' s) :=
f.is_linear.image_convex_hull
lemma finset.center_mass_mem_convex_hull (t : finset ι) {w : ι → ℝ} (hw₀ : ∀ i ∈ t, 0 ≤ w i)
(hws : 0 < t.sum w) {z : ι → E} (hz : ∀ i ∈ t, z i ∈ s) :
t.center_mass w z ∈ convex_hull s :=
(convex_convex_hull s).center_mass_mem hw₀ hws (λ i hi, subset_convex_hull s $ hz i hi)
-- TODO : Do we need other versions of the next lemma?
/-- Convex hull of `s` is equal to the set of all centers of masses of `finset`s `t`, `z '' t ⊆ s`.
This version allows finsets in any type in any universe. -/
lemma convex_hull_eq (s : set E) :
convex_hull s = {x : E | ∃ (ι : Type u') (t : finset ι) (w : ι → ℝ) (z : ι → E)
(hw₀ : ∀ i ∈ t, 0 ≤ w i) (hw₁ : t.sum w = 1) (hz : ∀ i ∈ t, z i ∈ s) , t.center_mass w z = x} :=
begin
refine subset.antisymm (convex_hull_min _ _) _,
{ intros x hx,
use [punit, finset.singleton punit.star, λ _, 1, λ _, x, λ _ _, zero_le_one,
finset.sum_singleton, λ _ _, hx],
simp only [finset.center_mass, finset.sum_singleton, inv_one, one_smul] },
{ rintros x y ⟨ι, sx, wx, zx, hwx₀, hwx₁, hzx, rfl⟩ ⟨ι', sy, wy, zy, hwy₀, hwy₁, hzy, rfl⟩
a b ha hb hab,
rw [finset.center_mass_segment' _ _ _ _ _ _ hwx₁ hwy₁ _ _ hab],
refine ⟨_, _, _, _, _, _, _, rfl⟩,
{ rintros i hi,
rw [finset.mem_union, finset.mem_image, finset.mem_image] at hi,
rcases hi with ⟨j, hj, rfl⟩|⟨j, hj, rfl⟩;
simp only [sum.elim_inl, sum.elim_inr];
apply_rules [mul_nonneg, hwx₀, hwy₀] },
{ simp [finset.sum_sum_elim, finset.mul_sum.symm, *] },
{ intros i hi,
rw [finset.mem_union, finset.mem_image, finset.mem_image] at hi,
rcases hi with ⟨j, hj, rfl⟩|⟨j, hj, rfl⟩;
simp only [sum.elim_inl, sum.elim_inr]; apply_rules [hzx, hzy] } },
{ rintros _ ⟨ι, t, w, z, hw₀, hw₁, hz, rfl⟩,
exact t.center_mass_mem_convex_hull hw₀ (hw₁.symm ▸ zero_lt_one) hz }
end
/-- Maximum principle for convex functions. If a function `f` is convex on the convex hull of `s`,
then `f` can't have a maximum on `convex_hull s` outside of `s`. -/
lemma convex_on.exists_ge_of_mem_convex_hull {f : E → ℝ} (hf : convex_on (convex_hull s) f)
{x} (hx : x ∈ convex_hull s) : ∃ y ∈ s, f x ≤ f y :=
begin
rw convex_hull_eq at hx,
rcases hx with ⟨α, t, w, z, hw₀, hw₁, hz, rfl⟩,
rcases hf.exists_ge_of_center_mass hw₀ (hw₁.symm ▸ zero_lt_one)
(λ i hi, subset_convex_hull s (hz i hi)) with ⟨i, hit, Hi⟩,
exact ⟨z i, hz i hit, Hi⟩
end
lemma set.finite.convex_hull_eq {s : set E} (hs : finite s) :
convex_hull s = {x : E | ∃ (w : E → ℝ) (hw₀ : ∀ y ∈ s, 0 ≤ w y) (hw₁ : hs.to_finset.sum w = 1),
hs.to_finset.center_mass w id = x} :=
begin
refine subset.antisymm (convex_hull_min _ _) _,
{ intros x hx,
replace hx : x ∈ hs.to_finset, from finite.mem_to_finset.2 hx,
refine ⟨_, _, _, finset.center_mass_ite_eq _ _ _ hx⟩,
{ intros, split_ifs, exacts [zero_le_one, le_refl 0] },
{ rw [finset.sum_ite_eq, if_pos hx] } },
{ rintros x y ⟨wx, hwx₀, hwx₁, rfl⟩ ⟨wy, hwy₀, hwy₁, rfl⟩
a b ha hb hab,
rw [finset.center_mass_segment _ _ _ _ hwx₁ hwy₁ _ _ hab],
refine ⟨_, _, _, rfl⟩,
{ rintros i hi,
apply_rules [add_nonneg, mul_nonneg, hwx₀, hwy₀], },
{ simp only [finset.sum_add_distrib, finset.mul_sum.symm, mul_one, *] } },
{ rintros _ ⟨w, hw₀, hw₁, rfl⟩,
exact hs.to_finset.center_mass_mem_convex_hull (λ x hx, hw₀ _ $ finite.mem_to_finset.1 hx)
(hw₁.symm ▸ zero_lt_one) (λ x hx, finite.mem_to_finset.1 hx) }
end
lemma is_linear_map.convex_hull_image {f : E → F} (hf : is_linear_map ℝ f) (s : set E) :
convex_hull (f '' s) = f '' convex_hull s :=
set.subset.antisymm (convex_hull_min (image_subset _ (subset_convex_hull s)) $
(convex_convex_hull s).is_linear_image hf)
(image_subset_iff.2 $ convex_hull_min
(image_subset_iff.1 $ subset_convex_hull _)
((convex_convex_hull _).is_linear_preimage hf))
lemma linear_map.convex_hull_image (f : E →ₗ[ℝ] F) (s : set E) :
convex_hull (f '' s) = f '' convex_hull s :=
f.is_linear.convex_hull_image s
end convex_hull
/-! ### Simplex -/
section simplex
variables (ι) [fintype ι] {f : ι → ℝ}
/-- Standard simplex in the space of functions `ι → ℝ` is the set
of vectors with non-negative coordinates with total sum `1`. -/
def std_simplex (ι : Type*) [fintype ι] : set (ι → ℝ) :=
{ f | (∀ x, 0 ≤ f x) ∧ finset.univ.sum f = 1 }
lemma std_simplex_eq_inter :
std_simplex ι = (⋂ x, {f | 0 ≤ f x}) ∩ {f | finset.univ.sum f = 1} :=
by { ext f, simp only [std_simplex, set.mem_inter_eq, set.mem_Inter, set.mem_set_of_eq] }
lemma convex_std_simplex : convex (std_simplex ι) :=
begin
refine λ f g hf hg a b ha hb hab, ⟨λ x, _, _⟩,
{ apply_rules [add_nonneg, mul_nonneg, hf.1, hg.1] },
{ erw [finset.sum_add_distrib, ← finset.smul_sum, ← finset.smul_sum, hf.2, hg.2,
smul_eq_mul, smul_eq_mul, mul_one, mul_one],
exact hab }
end
variable {ι}
lemma ite_eq_mem_std_simplex (i : ι) : (λ j, ite (i = j) (1:ℝ) 0) ∈ std_simplex ι :=
⟨λ j, by simp only []; split_ifs; norm_num, by rw [finset.sum_ite_eq, if_pos (finset.mem_univ _)] ⟩
/-- `std_simplex ι` is the convex hull of the canonical basis in `ι → ℝ`. -/
lemma convex_hull_basis_eq_std_simplex :
convex_hull (range $ λ(i j:ι), if i = j then (1:ℝ) else 0) = std_simplex ι :=
begin
refine subset.antisymm (convex_hull_min _ (convex_std_simplex ι)) _,
{ rintros _ ⟨i, rfl⟩,
exact ite_eq_mem_std_simplex i },
{ rintros w ⟨hw₀, hw₁⟩,
rw [pi_eq_sum_univ w, ← finset.univ.center_mass_eq_of_sum_1 _ hw₁],
exact finset.univ.center_mass_mem_convex_hull (λ i hi, hw₀ i)
(hw₁.symm ▸ zero_lt_one) (λ i hi, mem_range_self i) }
end
variable {ι}
/-- Convex hull of a finite set is the image of the standard simplex in `s → ℝ`
under the linear map sending each function `w` to `s.sum (λ x, w x • x)`.
Since we have no sums over finite sets, we use sum over `@finset.univ _ hs.fintype`.
The map is defined in terms of operations on `(s → ℝ) →ₗ[ℝ] ℝ` so that later we will not need
to prove that this map is linear. -/
lemma set.finite.convex_hull_eq_image {s : set E} (hs : finite s) :
convex_hull s =
(⇑((@finset.univ _ hs.fintype).sum (λ x, (linear_map.proj x : (s → ℝ) →ₗ[ℝ] ℝ).smul_right x.1))) ''
(@std_simplex _ hs.fintype) :=
begin
rw [← convex_hull_basis_eq_std_simplex, ← linear_map.convex_hull_image, ← range_comp, (∘)],
apply congr_arg,
convert (subtype.range_val s).symm,
ext x,
simp [linear_map.sum_apply, ite_smul, finset.filter_eq]
end
/-- All values of a function `f ∈ std_simplex ι` belong to `[0, 1]`. -/
lemma mem_Icc_of_mem_std_simplex (hf : f ∈ std_simplex ι) (x) :
f x ∈ I :=
⟨hf.1 x, hf.2 ▸ finset.single_le_sum (λ y hy, hf.1 y) (finset.mem_univ x)⟩
end simplex
|
ec9aee75c1c1ed6a1afe6991701f512e009428d6 | fa02ed5a3c9c0adee3c26887a16855e7841c668b | /src/algebra/group/units.lean | 21de5013c03a08ec8209034d50b76b9597b75cd4 | [
"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 | 13,626 | lean | /-
Copyright (c) 2017 Kenny Lau. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Kenny Lau, Mario Carneiro, Johannes Hölzl, Chris Hughes, Jens Wagemaker
-/
import algebra.group.basic
import logic.nontrivial
/-!
# Units (i.e., invertible elements) of a multiplicative monoid
-/
universe u
variable {α : Type u}
/-- Units of a monoid, bundled version. An element of a `monoid` is a unit if it has a two-sided
inverse. This version bundles the inverse element so that it can be computed. For a predicate
see `is_unit`. -/
structure units (α : Type u) [monoid α] :=
(val : α)
(inv : α)
(val_inv : val * inv = 1)
(inv_val : inv * val = 1)
/-- Units of an add_monoid, bundled version. An element of an add_monoid is a unit if it has a
two-sided additive inverse. This version bundles the inverse element so that it can be
computed. For a predicate see `is_add_unit`. -/
structure add_units (α : Type u) [add_monoid α] :=
(val : α)
(neg : α)
(val_neg : val + neg = 0)
(neg_val : neg + val = 0)
attribute [to_additive add_units] units
namespace units
variables [monoid α]
@[to_additive] instance : has_coe (units α) α := ⟨val⟩
@[simp, to_additive] lemma coe_mk (a : α) (b h₁ h₂) : ↑(units.mk a b h₁ h₂) = a := rfl
@[ext, to_additive] theorem ext :
function.injective (coe : units α → α)
| ⟨v, i₁, vi₁, iv₁⟩ ⟨v', i₂, vi₂, iv₂⟩ e :=
by change v = v' at e; subst v'; congr;
simpa only [iv₂, vi₁, one_mul, mul_one] using mul_assoc i₂ v i₁
@[norm_cast, to_additive] theorem eq_iff {a b : units α} :
(a : α) = b ↔ a = b := ext.eq_iff
@[to_additive] theorem ext_iff {a b : units α} :
a = b ↔ (a : α) = b := eq_iff.symm
@[to_additive] instance [decidable_eq α] : decidable_eq (units α) :=
λ a b, decidable_of_iff' _ ext_iff
@[simp, to_additive] theorem mk_coe (u : units α) (y h₁ h₂) :
mk (u : α) y h₁ h₂ = u :=
ext rfl
/-- Units of a monoid form a group. -/
@[to_additive] instance : group (units α) :=
{ mul := λ u₁ u₂, ⟨u₁.val * u₂.val, u₂.inv * u₁.inv,
by rw [mul_assoc, ← mul_assoc u₂.val, val_inv, one_mul, val_inv],
by rw [mul_assoc, ← mul_assoc u₁.inv, inv_val, one_mul, inv_val]⟩,
one := ⟨1, 1, one_mul 1, one_mul 1⟩,
mul_one := λ u, ext $ mul_one u,
one_mul := λ u, ext $ one_mul u,
mul_assoc := λ u₁ u₂ u₃, ext $ mul_assoc u₁ u₂ u₃,
inv := λ u, ⟨u.2, u.1, u.4, u.3⟩,
mul_left_inv := λ u, ext u.inv_val }
variables (a b : units α) {c : units α}
@[simp, norm_cast, to_additive] lemma coe_mul : (↑(a * b) : α) = a * b := rfl
attribute [norm_cast] add_units.coe_add
@[simp, norm_cast, to_additive] lemma coe_one : ((1 : units α) : α) = 1 := rfl
attribute [norm_cast] add_units.coe_zero
@[simp, norm_cast, to_additive] lemma coe_eq_one {a : units α} : (a : α) = 1 ↔ a = 1 :=
by rw [←units.coe_one, eq_iff]
@[simp, to_additive] lemma inv_mk (x y : α) (h₁ h₂) : (mk x y h₁ h₂)⁻¹ = mk y x h₂ h₁ := rfl
@[to_additive] lemma val_coe : (↑a : α) = a.val := rfl
@[norm_cast, to_additive] lemma coe_inv : ((a⁻¹ : units α) : α) = a.inv := rfl
attribute [norm_cast] add_units.coe_neg
@[simp, to_additive] lemma inv_mul : (↑a⁻¹ * a : α) = 1 := inv_val _
@[simp, to_additive] lemma mul_inv : (a * ↑a⁻¹ : α) = 1 := val_inv _
@[to_additive] lemma inv_mul_of_eq {u : units α} {a : α} (h : ↑u = a) : ↑u⁻¹ * a = 1 :=
by { rw [←h, u.inv_mul], }
@[to_additive] lemma mul_inv_of_eq {u : units α} {a : α} (h : ↑u = a) : a * ↑u⁻¹ = 1 :=
by { rw [←h, u.mul_inv], }
@[simp, to_additive] lemma mul_inv_cancel_left (a : units α) (b : α) : (a:α) * (↑a⁻¹ * b) = b :=
by rw [← mul_assoc, mul_inv, one_mul]
@[simp, to_additive] lemma inv_mul_cancel_left (a : units α) (b : α) : (↑a⁻¹:α) * (a * b) = b :=
by rw [← mul_assoc, inv_mul, one_mul]
@[simp, to_additive] lemma mul_inv_cancel_right (a : α) (b : units α) : a * b * ↑b⁻¹ = a :=
by rw [mul_assoc, mul_inv, mul_one]
@[simp, to_additive] lemma inv_mul_cancel_right (a : α) (b : units α) : a * ↑b⁻¹ * b = a :=
by rw [mul_assoc, inv_mul, mul_one]
@[to_additive] instance : inhabited (units α) := ⟨1⟩
@[to_additive] instance {α} [comm_monoid α] : comm_group (units α) :=
{ mul_comm := λ u₁ u₂, ext $ mul_comm _ _, ..units.group }
@[to_additive] instance [has_repr α] : has_repr (units α) := ⟨repr ∘ val⟩
@[simp, to_additive] theorem mul_right_inj (a : units α) {b c : α} : (a:α) * b = a * c ↔ b = c :=
⟨λ h, by simpa only [inv_mul_cancel_left] using congr_arg ((*) ↑(a⁻¹ : units α)) h, congr_arg _⟩
@[simp, to_additive] theorem mul_left_inj (a : units α) {b c : α} : b * a = c * a ↔ b = c :=
⟨λ h, by simpa only [mul_inv_cancel_right] using congr_arg (* ↑(a⁻¹ : units α)) h, congr_arg _⟩
@[to_additive] theorem eq_mul_inv_iff_mul_eq {a b : α} : a = b * ↑c⁻¹ ↔ a * c = b :=
⟨λ h, by rw [h, inv_mul_cancel_right], λ h, by rw [← h, mul_inv_cancel_right]⟩
@[to_additive] theorem eq_inv_mul_iff_mul_eq {a c : α} : a = ↑b⁻¹ * c ↔ ↑b * a = c :=
⟨λ h, by rw [h, mul_inv_cancel_left], λ h, by rw [← h, inv_mul_cancel_left]⟩
@[to_additive] theorem inv_mul_eq_iff_eq_mul {b c : α} : ↑a⁻¹ * b = c ↔ b = a * c :=
⟨λ h, by rw [← h, mul_inv_cancel_left], λ h, by rw [h, inv_mul_cancel_left]⟩
@[to_additive] theorem mul_inv_eq_iff_eq_mul {a c : α} : a * ↑b⁻¹ = c ↔ a = c * b :=
⟨λ h, by rw [← h, inv_mul_cancel_right], λ h, by rw [h, mul_inv_cancel_right]⟩
lemma inv_eq_of_mul_eq_one {u : units α} {a : α} (h : ↑u * a = 1) : ↑u⁻¹ = a :=
calc ↑u⁻¹ = ↑u⁻¹ * 1 : by rw mul_one
... = ↑u⁻¹ * ↑u * a : by rw [←h, ←mul_assoc]
... = a : by rw [u.inv_mul, one_mul]
lemma inv_unique {u₁ u₂ : units α} (h : (↑u₁ : α) = ↑u₂) : (↑u₁⁻¹ : α) = ↑u₂⁻¹ :=
suffices ↑u₁ * (↑u₂⁻¹ : α) = 1, by exact inv_eq_of_mul_eq_one this, by rw [h, u₂.mul_inv]
end units
/-- For `a, b` in a `comm_monoid` such that `a * b = 1`, makes a unit out of `a`. -/
@[to_additive "For `a, b` in an `add_comm_monoid` such that `a + b = 0`, makes an add_unit
out of `a`."]
def units.mk_of_mul_eq_one [comm_monoid α] (a b : α) (hab : a * b = 1) :
units α :=
⟨a, b, hab, (mul_comm b a).trans hab⟩
@[simp, to_additive] lemma units.coe_mk_of_mul_eq_one [comm_monoid α] {a b : α} (h : a * b = 1) :
(units.mk_of_mul_eq_one a b h : α) = a := rfl
section monoid
variables [monoid α] {a b c : α}
/-- Partial division. It is defined when the
second argument is invertible, and unlike the division operator
in `division_ring` it is not totalized at zero. -/
def divp (a : α) (u) : α := a * (u⁻¹ : units α)
infix ` /ₚ `:70 := divp
@[simp] theorem divp_self (u : units α) : (u : α) /ₚ u = 1 := units.mul_inv _
@[simp] theorem divp_one (a : α) : a /ₚ 1 = a := mul_one _
theorem divp_assoc (a b : α) (u : units α) : a * b /ₚ u = a * (b /ₚ u) :=
mul_assoc _ _ _
@[simp] theorem divp_inv (u : units α) : a /ₚ u⁻¹ = a * u := rfl
@[simp] theorem divp_mul_cancel (a : α) (u : units α) : a /ₚ u * u = a :=
(mul_assoc _ _ _).trans $ by rw [units.inv_mul, mul_one]
@[simp] theorem mul_divp_cancel (a : α) (u : units α) : (a * u) /ₚ u = a :=
(mul_assoc _ _ _).trans $ by rw [units.mul_inv, mul_one]
@[simp] theorem divp_left_inj (u : units α) {a b : α} : a /ₚ u = b /ₚ u ↔ a = b :=
units.mul_left_inj _
theorem divp_divp_eq_divp_mul (x : α) (u₁ u₂ : units α) : (x /ₚ u₁) /ₚ u₂ = x /ₚ (u₂ * u₁) :=
by simp only [divp, mul_inv_rev, units.coe_mul, mul_assoc]
theorem divp_eq_iff_mul_eq {x : α} {u : units α} {y : α} : x /ₚ u = y ↔ y * u = x :=
u.mul_left_inj.symm.trans $ by rw [divp_mul_cancel]; exact ⟨eq.symm, eq.symm⟩
theorem divp_eq_one_iff_eq {a : α} {u : units α} : a /ₚ u = 1 ↔ a = u :=
(units.mul_left_inj u).symm.trans $ by rw [divp_mul_cancel, one_mul]
@[simp] theorem one_divp (u : units α) : 1 /ₚ u = ↑u⁻¹ :=
one_mul _
end monoid
section comm_monoid
variables [comm_monoid α]
theorem divp_eq_divp_iff {x y : α} {ux uy : units α} :
x /ₚ ux = y /ₚ uy ↔ x * uy = y * ux :=
by rw [divp_eq_iff_mul_eq, mul_comm, ← divp_assoc, divp_eq_iff_mul_eq, mul_comm y ux]
theorem divp_mul_divp (x y : α) (ux uy : units α) :
(x /ₚ ux) * (y /ₚ uy) = (x * y) /ₚ (ux * uy) :=
by rw [← divp_divp_eq_divp_mul, divp_assoc, mul_comm x, divp_assoc, mul_comm]
end comm_monoid
/-!
# `is_unit` predicate
In this file we define the `is_unit` predicate on a `monoid`, and
prove a few basic properties. For the bundled version see `units`. See
also `prime`, `associated`, and `irreducible` in `algebra/associated`.
-/
section is_unit
variables {M : Type*} {N : Type*}
/-- An element `a : M` of a monoid is a unit if it has a two-sided inverse.
The actual definition says that `a` is equal to some `u : units M`, where
`units M` is a bundled version of `is_unit`. -/
@[to_additive is_add_unit "An element `a : M` of an add_monoid is an `add_unit` if it has
a two-sided additive inverse. The actual definition says that `a` is equal to some
`u : add_units M`, where `add_units M` is a bundled version of `is_add_unit`."]
def is_unit [monoid M] (a : M) : Prop := ∃ u : units M, (u : M) = a
@[nontriviality] lemma is_unit_of_subsingleton [monoid M] [subsingleton M] (a : M) : is_unit a :=
⟨⟨a, a, subsingleton.elim _ _, subsingleton.elim _ _⟩, rfl⟩
@[simp, to_additive is_add_unit_add_unit]
protected lemma units.is_unit [monoid M] (u : units M) : is_unit (u : M) := ⟨u, rfl⟩
@[simp, to_additive is_add_unit_zero]
theorem is_unit_one [monoid M] : is_unit (1:M) := ⟨1, rfl⟩
@[to_additive is_add_unit_of_add_eq_zero] theorem is_unit_of_mul_eq_one [comm_monoid M]
(a b : M) (h : a * b = 1) : is_unit a :=
⟨units.mk_of_mul_eq_one a b h, rfl⟩
@[to_additive is_add_unit.exists_neg] theorem is_unit.exists_right_inv [monoid M]
{a : M} (h : is_unit a) : ∃ b, a * b = 1 :=
by { rcases h with ⟨⟨a, b, hab, _⟩, rfl⟩, exact ⟨b, hab⟩ }
@[to_additive is_add_unit.exists_neg'] theorem is_unit.exists_left_inv [monoid M]
{a : M} (h : is_unit a) : ∃ b, b * a = 1 :=
by { rcases h with ⟨⟨a, b, _, hba⟩, rfl⟩, exact ⟨b, hba⟩ }
@[to_additive is_add_unit_iff_exists_neg] theorem is_unit_iff_exists_inv [comm_monoid M]
{a : M} : is_unit a ↔ ∃ b, a * b = 1 :=
⟨λ h, h.exists_right_inv,
λ ⟨b, hab⟩, is_unit_of_mul_eq_one _ b hab⟩
@[to_additive is_add_unit_iff_exists_neg'] theorem is_unit_iff_exists_inv' [comm_monoid M]
{a : M} : is_unit a ↔ ∃ b, b * a = 1 :=
by simp [is_unit_iff_exists_inv, mul_comm]
/-- Multiplication by a `u : units M` doesn't affect `is_unit`. -/
@[simp, to_additive is_add_unit_add_add_units "Addition of a `u : add_units M` doesn't affect
`is_add_unit`."]
theorem units.is_unit_mul_units [monoid M] (a : M) (u : units M) :
is_unit (a * u) ↔ is_unit a :=
iff.intro
(assume ⟨v, hv⟩,
have is_unit (a * ↑u * ↑u⁻¹), by existsi v * u⁻¹; rw [←hv, units.coe_mul],
by rwa [mul_assoc, units.mul_inv, mul_one] at this)
(assume ⟨v, hv⟩, hv ▸ ⟨v * u, (units.coe_mul v u).symm⟩)
@[to_additive]
lemma is_unit.mul [monoid M] {x y : M} : is_unit x → is_unit y → is_unit (x * y) :=
by { rintros ⟨x, rfl⟩ ⟨y, rfl⟩, exact ⟨x * y, units.coe_mul _ _⟩ }
@[to_additive is_add_unit_of_add_is_add_unit_left]
theorem is_unit_of_mul_is_unit_left [comm_monoid M] {x y : M}
(hu : is_unit (x * y)) : is_unit x :=
let ⟨z, hz⟩ := is_unit_iff_exists_inv.1 hu in
is_unit_iff_exists_inv.2 ⟨y * z, by rwa ← mul_assoc⟩
@[to_additive] theorem is_unit_of_mul_is_unit_right [comm_monoid M] {x y : M}
(hu : is_unit (x * y)) : is_unit y :=
@is_unit_of_mul_is_unit_left _ _ y x $ by rwa mul_comm
@[simp]
lemma is_unit.mul_iff [comm_monoid M] {x y : M} : is_unit (x * y) ↔ is_unit x ∧ is_unit y :=
⟨λ h, ⟨is_unit_of_mul_is_unit_left h, is_unit_of_mul_is_unit_right h⟩,
λ h, is_unit.mul h.1 h.2⟩
@[to_additive] theorem is_unit.mul_right_inj [monoid M] {a b c : M} (ha : is_unit a) :
a * b = a * c ↔ b = c :=
by cases ha with a ha; rw [←ha, units.mul_right_inj]
@[to_additive] theorem is_unit.mul_left_inj [monoid M] {a b c : M} (ha : is_unit a) :
b * a = c * a ↔ b = c :=
by cases ha with a ha; rw [←ha, units.mul_left_inj]
/-- The element of the group of units, corresponding to an element of a monoid which is a unit. -/
noncomputable def is_unit.unit [monoid M] {a : M} (h : is_unit a) : units M :=
classical.some h
lemma is_unit.unit_spec [monoid M] {a : M} (h : is_unit a) : ↑h.unit = a :=
classical.some_spec h
end is_unit
section noncomputable_defs
variables {M : Type*}
/-- Constructs a `group` structure on a `monoid` consisting only of units. -/
noncomputable def group_of_is_unit [hM : monoid M] (h : ∀ (a : M), is_unit a) : group M :=
{ inv := λ a, ↑((h a).unit)⁻¹,
mul_left_inv := λ a, by {
change ↑((h a).unit)⁻¹ * a = 1,
rw [units.inv_mul_eq_iff_eq_mul, (h a).unit_spec, mul_one] },
.. hM }
/-- Constructs a `comm_group` structure on a `comm_monoid` consisting only of units. -/
noncomputable def comm_group_of_is_unit [hM : comm_monoid M] (h : ∀ (a : M), is_unit a) :
comm_group M :=
{ inv := λ a, ↑((h a).unit)⁻¹,
mul_left_inv := λ a, by {
change ↑((h a).unit)⁻¹ * a = 1,
rw [units.inv_mul_eq_iff_eq_mul, (h a).unit_spec, mul_one] },
.. hM }
end noncomputable_defs
|
d1cc38ad94578d92de55d6c9a5783ab89aa883ea | 8cae430f0a71442d02dbb1cbb14073b31048e4b0 | /src/algebra/category/Algebra/limits.lean | abcf7968145a523e8f9368c8949d16b613a8b029 | [
"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 | 5,915 | 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 algebra.category.Algebra.basic
import algebra.category.Module.limits
import algebra.category.Ring.limits
/-!
# The category of R-algebras has all limits
> THIS FILE IS SYNCHRONIZED WITH MATHLIB4.
> Any changes to this file require a corresponding PR to mathlib4.
Further, these limits are preserved by the forgetful functor --- that is,
the underlying types are just the limits in the category of types.
-/
open category_theory
open category_theory.limits
universes v w u -- `u` is determined by the ring, so can come last
noncomputable theory
namespace Algebra
variables {R : Type u} [comm_ring R]
variables {J : Type v} [small_category J]
instance semiring_obj (F : J ⥤ Algebra.{max v w} R) (j) :
semiring ((F ⋙ forget (Algebra R)).obj j) :=
by { change semiring (F.obj j), apply_instance }
instance algebra_obj (F : J ⥤ Algebra.{max v w} R) (j) :
algebra R ((F ⋙ forget (Algebra R)).obj j) :=
by { change algebra R (F.obj j), apply_instance }
/--
The flat sections of a functor into `Algebra R` form a submodule of all sections.
-/
def sections_subalgebra (F : J ⥤ Algebra.{max v w} R) :
subalgebra R (Π j, F.obj j) :=
{ algebra_map_mem' := λ r j j' f, (F.map f).commutes r,
..SemiRing.sections_subsemiring
(F ⋙ forget₂ (Algebra R) Ring.{max v w} ⋙ forget₂ Ring SemiRing.{max v w}) }
instance limit_semiring (F : J ⥤ Algebra.{max v w} R) :
ring (types.limit_cone (F ⋙ forget (Algebra.{max v w} R))).X :=
begin
change ring (sections_subalgebra F),
apply_instance,
end
instance limit_algebra (F : J ⥤ Algebra.{max v w} R) :
algebra R (types.limit_cone (F ⋙ forget (Algebra.{max v w} R))).X :=
begin
have : algebra R (types.limit_cone (F ⋙ forget (Algebra.{max v w} R))).X
= algebra R (sections_subalgebra F), by refl,
rw this,
apply_instance,
end
/-- `limit.π (F ⋙ forget (Algebra R)) j` as a `alg_hom`. -/
def limit_π_alg_hom (F : J ⥤ Algebra.{max v w} R) (j) :
(types.limit_cone (F ⋙ forget (Algebra R))).X →ₐ[R] (F ⋙ forget (Algebra.{max v w} R)).obj j :=
{ commutes' := λ r, rfl,
..SemiRing.limit_π_ring_hom
(F ⋙ forget₂ (Algebra R) Ring.{max v w} ⋙ forget₂ Ring SemiRing.{max v w}) j }
namespace has_limits
-- The next two definitions are used in the construction of `has_limits (Algebra R)`.
-- After that, the limits should be constructed using the generic limits API,
-- e.g. `limit F`, `limit.cone F`, and `limit.is_limit F`.
/--
Construction of a limit cone in `Algebra R`.
(Internal use only; use the limits API.)
-/
def limit_cone (F : J ⥤ Algebra.{max v w} R) : cone F :=
{ X := Algebra.of R (types.limit_cone (F ⋙ forget _)).X,
π :=
{ app := limit_π_alg_hom F,
naturality' := λ j j' f,
alg_hom.coe_fn_injective ((types.limit_cone (F ⋙ forget _)).π.naturality f) } }
/--
Witness that the limit cone in `Algebra R` is a limit cone.
(Internal use only; use the limits API.)
-/
def limit_cone_is_limit (F : J ⥤ Algebra.{max v w} R) : is_limit (limit_cone F) :=
begin
refine is_limit.of_faithful
(forget (Algebra R)) (types.limit_cone_is_limit _)
(λ s, { .. }) (λ s, rfl),
{ simp only [forget_map_eq_coe, alg_hom.map_one, functor.map_cone_π_app], refl, },
{ intros x y, simp only [forget_map_eq_coe, alg_hom.map_mul, functor.map_cone_π_app], refl, },
{ simp only [forget_map_eq_coe, alg_hom.map_zero, functor.map_cone_π_app], refl, },
{ intros x y, simp only [forget_map_eq_coe, alg_hom.map_add, functor.map_cone_π_app], refl, },
{ intros r, ext j, exact (s.π.app j).commutes r, },
end
end has_limits
open has_limits
/-- The category of R-algebras has all limits. -/
@[irreducible]
instance has_limits_of_size : has_limits_of_size.{v v} (Algebra.{max v w} R) :=
{ has_limits_of_shape := λ J 𝒥, by exactI
{ has_limit := λ F, has_limit.mk
{ cone := limit_cone F,
is_limit := limit_cone_is_limit F } } }
instance has_limits : has_limits (Algebra.{w} R) := Algebra.has_limits_of_size.{w w u}
/--
The forgetful functor from R-algebras to rings preserves all limits.
-/
instance forget₂_Ring_preserves_limits_of_size :
preserves_limits_of_size.{v v} (forget₂ (Algebra R) Ring.{max v w}) :=
{ preserves_limits_of_shape := λ J 𝒥, by exactI
{ preserves_limit := λ F, preserves_limit_of_preserves_limit_cone
(limit_cone_is_limit F)
(by apply Ring.limit_cone_is_limit (F ⋙ forget₂ (Algebra R) Ring.{max v w})) } }
instance forget₂_Ring_preserves_limits :
preserves_limits (forget₂ (Algebra R) Ring.{w}) :=
Algebra.forget₂_Ring_preserves_limits_of_size.{w w}
/--
The forgetful functor from R-algebras to R-modules preserves all limits.
-/
instance forget₂_Module_preserves_limits_of_size :
preserves_limits_of_size.{v v} (forget₂ (Algebra R) (Module.{max v w} R)) :=
{ preserves_limits_of_shape := λ J 𝒥, by exactI
{ preserves_limit := λ F, preserves_limit_of_preserves_limit_cone
(limit_cone_is_limit F)
(by apply Module.has_limits.limit_cone_is_limit
(F ⋙ forget₂ (Algebra R) (Module.{max v w} R))) } }
instance forget₂_Module_preserves_limits : preserves_limits (forget₂ (Algebra R) (Module.{w} R)) :=
Algebra.forget₂_Module_preserves_limits_of_size.{w w}
/--
The forgetful functor from R-algebras to types preserves all limits.
-/
instance forget_preserves_limits_of_size :
preserves_limits_of_size.{v v} (forget (Algebra.{max v w} R)) :=
{ preserves_limits_of_shape := λ J 𝒥, by exactI
{ preserves_limit := λ F, preserves_limit_of_preserves_limit_cone
(limit_cone_is_limit F) (types.limit_cone_is_limit (F ⋙ forget _)) } }
instance forget_preserves_limits : preserves_limits (forget (Algebra.{w} R)) :=
Algebra.forget_preserves_limits_of_size.{w w}
end Algebra
|
0adb4005e722ef6f397e5a945b87cf99e516bfca | 4bcaca5dc83d49803f72b7b5920b75b6e7d9de2d | /stage0/src/Lean/Elab/Tactic/Split.lean | 79ab90406a460347ff8a4c2d4a4824edfe0b5ce0 | [
"Apache-2.0"
] | permissive | subfish-zhou/leanprover-zh_CN.github.io | 30b9fba9bd790720bd95764e61ae796697d2f603 | 8b2985d4a3d458ceda9361ac454c28168d920d3f | refs/heads/master | 1,689,709,967,820 | 1,632,503,056,000 | 1,632,503,056,000 | 409,962,097 | 1 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 1,444 | lean | /-
Copyright (c) 2021 Microsoft Corporation. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Leonardo de Moura
-/
import Lean.Meta.Tactic.Split
import Lean.Elab.Tactic.Basic
import Lean.Elab.Tactic.Location
namespace Lean.Elab.Tactic
open Meta
@[builtinTactic Lean.Parser.Tactic.split] def evalSplit : Tactic := fun stx => do
unless stx[1].isNone do
throwError "'split' tatic, term to split is not supported yet"
liftMetaTactic fun mvarId => do
let loc := expandOptLocation stx[2]
match loc with
| Location.targets hUserNames simplifyTarget =>
if (hUserNames.size > 0 && simplifyTarget) || hUserNames.size > 1 then
throwErrorAt stx[2] "'split' tactic failed, select a single target to split"
if simplifyTarget then
let some mvarIds ← splitTarget? mvarId | throwError "'split' tactic failed"
return mvarIds
else
let fvarId := (← getLocalDeclFromUserName hUserNames[0]).fvarId
let some mvarIds ← splitLocalDecl? mvarId fvarId | throwError "'split' tactic failed"
return mvarIds
| Location.wildcard =>
let fvarIds ← getNondepPropHyps mvarId
for fvarId in fvarIds do
if let some mvarIds ← splitLocalDecl? mvarId fvarId then
return mvarIds
let some mvarIds ← splitTarget? mvarId | throwError "'split' tactic failed"
return mvarIds
end Lean.Elab.Tactic
|
da43286d50232ef2bce476889e0c76a624056a72 | 8cae430f0a71442d02dbb1cbb14073b31048e4b0 | /src/data/rbtree/init.lean | 207c610224363b32ea88655d42768042b97c8367 | [
"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 | 6,888 | 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
-/
-- This file used to be a part of `prelude`
universes u v
inductive rbnode (α : Type u)
| leaf : rbnode
| red_node (lchild : rbnode) (val : α) (rchild : rbnode) : rbnode
| black_node (lchild : rbnode) (val : α) (rchild : rbnode) : rbnode
namespace rbnode
variables {α : Type u} {β : Type v}
inductive color
| red | black
open color nat
instance color.decidable_eq : decidable_eq color :=
λ a b, color.cases_on a
(color.cases_on b (is_true rfl) (is_false (λ h, color.no_confusion h)))
(color.cases_on b (is_false (λ h, color.no_confusion h)) (is_true rfl))
def depth (f : nat → nat → nat) : rbnode α → nat
| leaf := 0
| (red_node l _ r) := succ (f (depth l) (depth r))
| (black_node l _ r) := succ (f (depth l) (depth r))
protected def min : rbnode α → option α
| leaf := none
| (red_node leaf v _) := some v
| (black_node leaf v _) := some v
| (red_node l v _) := min l
| (black_node l v _) := min l
protected def max : rbnode α → option α
| leaf := none
| (red_node _ v leaf) := some v
| (black_node _ v leaf) := some v
| (red_node _ v r) := max r
| (black_node _ v r) := max r
def fold (f : α → β → β) : rbnode α → β → β
| leaf b := b
| (red_node l v r) b := fold r (f v (fold l b))
| (black_node l v r) b := fold r (f v (fold l b))
def rev_fold (f : α → β → β) : rbnode α → β → β
| leaf b := b
| (red_node l v r) b := rev_fold l (f v (rev_fold r b))
| (black_node l v r) b := rev_fold l (f v (rev_fold r b))
def balance1 : rbnode α → α → rbnode α → α → rbnode α → rbnode α
| (red_node l x r₁) y r₂ v t := red_node (black_node l x r₁) y (black_node r₂ v t)
| l₁ y (red_node l₂ x r) v t := red_node (black_node l₁ y l₂) x (black_node r v t)
| l y r v t := black_node (red_node l y r) v t
def balance1_node : rbnode α → α → rbnode α → rbnode α
| (red_node l x r) v t := balance1 l x r v t
| (black_node l x r) v t := balance1 l x r v t
| leaf v t := t /- dummy value -/
def balance2 : rbnode α → α → rbnode α → α → rbnode α → rbnode α
| (red_node l x₁ r₁) y r₂ v t := red_node (black_node t v l) x₁ (black_node r₁ y r₂)
| l₁ y (red_node l₂ x₂ r₂) v t := red_node (black_node t v l₁) y (black_node l₂ x₂ r₂)
| l y r v t := black_node t v (red_node l y r)
def balance2_node : rbnode α → α → rbnode α → rbnode α
| (red_node l x r) v t := balance2 l x r v t
| (black_node l x r) v t := balance2 l x r v t
| leaf v t := t /- dummy -/
def get_color : rbnode α → color
| (red_node _ _ _) := red
| _ := black
section insert
variables (lt : α → α → Prop) [decidable_rel lt]
def ins : rbnode α → α → rbnode α
| leaf x := red_node leaf x leaf
| (red_node a y b) x :=
match cmp_using lt x y with
| ordering.lt := red_node (ins a x) y b
| ordering.eq := red_node a x b
| ordering.gt := red_node a y (ins b x)
end
| (black_node a y b) x :=
match cmp_using lt x y with
| ordering.lt :=
if a.get_color = red then balance1_node (ins a x) y b
else black_node (ins a x) y b
| ordering.eq := black_node a x b
| ordering.gt :=
if b.get_color = red then balance2_node (ins b x) y a
else black_node a y (ins b x)
end
def mk_insert_result : color → rbnode α → rbnode α
| red (red_node l v r) := black_node l v r
| _ t := t
def insert (t : rbnode α) (x : α) : rbnode α :=
mk_insert_result (get_color t) (ins lt t x)
end insert
section membership
variable (lt : α → α → Prop)
def mem : α → rbnode α → Prop
| a leaf := false
| a (red_node l v r) := mem a l ∨ (¬ lt a v ∧ ¬ lt v a) ∨ mem a r
| a (black_node l v r) := mem a l ∨ (¬ lt a v ∧ ¬ lt v a) ∨ mem a r
def mem_exact : α → rbnode α → Prop
| a leaf := false
| a (red_node l v r) := mem_exact a l ∨ a = v ∨ mem_exact a r
| a (black_node l v r) := mem_exact a l ∨ a = v ∨ mem_exact a r
variable [decidable_rel lt]
def find : rbnode α → α → option α
| leaf x := none
| (red_node a y b) x :=
match cmp_using lt x y with
| ordering.lt := find a x
| ordering.eq := some y
| ordering.gt := find b x
end
| (black_node a y b) x :=
match cmp_using lt x y with
| ordering.lt := find a x
| ordering.eq := some y
| ordering.gt := find b x
end
end membership
inductive well_formed (lt : α → α → Prop) : rbnode α → Prop
| leaf_wff : well_formed leaf
| insert_wff {n n' : rbnode α} {x : α} [decidable_rel lt] :
well_formed n → n' = insert lt n x → well_formed n'
end rbnode
open rbnode
set_option auto_param.check_exists false
def rbtree (α : Type u) (lt : α → α → Prop . rbtree.default_lt) : Type u :=
{t : rbnode α // t.well_formed lt }
def mk_rbtree (α : Type u) (lt : α → α → Prop . rbtree.default_lt) : rbtree α lt :=
⟨leaf, well_formed.leaf_wff⟩
namespace rbtree
variables {α : Type u} {β : Type v} {lt : α → α → Prop}
protected def mem (a : α) (t : rbtree α lt) : Prop :=
rbnode.mem lt a t.val
instance : has_mem α (rbtree α lt) :=
⟨rbtree.mem⟩
def mem_exact (a : α) (t : rbtree α lt) : Prop :=
rbnode.mem_exact a t.val
def depth (f : nat → nat → nat) (t : rbtree α lt) : nat :=
t.val.depth f
def fold (f : α → β → β) : rbtree α lt → β → β
| ⟨t, _⟩ b := t.fold f b
def rev_fold (f : α → β → β) : rbtree α lt → β → β
| ⟨t, _⟩ b := t.rev_fold f b
def empty : rbtree α lt → bool
| ⟨leaf, _⟩ := tt
| _ := ff
def to_list : rbtree α lt → list α
| ⟨t, _⟩ := t.rev_fold (::) []
protected def min : rbtree α lt → option α
| ⟨t, _⟩ := t.min
protected def max : rbtree α lt → option α
| ⟨t, _⟩ := t.max
instance [has_repr α] : has_repr (rbtree α lt) :=
⟨λ t, "rbtree_of " ++ repr t.to_list⟩
variables [decidable_rel lt]
def insert : rbtree α lt → α → rbtree α lt
| ⟨t, w⟩ x := ⟨t.insert lt x, well_formed.insert_wff w rfl⟩
def find : rbtree α lt → α → option α
| ⟨t, _⟩ x := t.find lt x
def contains (t : rbtree α lt) (a : α) : bool :=
(t.find a).is_some
def from_list (l : list α) (lt : α → α → Prop . rbtree.default_lt) [decidable_rel lt] :
rbtree α lt :=
l.foldl insert (mk_rbtree α lt)
end rbtree
def rbtree_of {α : Type u} (l : list α) (lt : α → α → Prop . rbtree.default_lt) [decidable_rel lt] :
rbtree α lt :=
rbtree.from_list l lt
|
229e41e53ae178e42666c40587eaf36070fedf35 | bb31430994044506fa42fd667e2d556327e18dfe | /src/ring_theory/fractional_ideal.lean | c17ff5cdfe2bc8ef059c8a5f117abd2b1a97c570 | [
"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 | 52,880 | lean | /-
Copyright (c) 2020 Anne Baanen. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Anne Baanen, Filippo A. E. Nuccio
-/
import algebra.big_operators.finprod
import ring_theory.integral_closure
import ring_theory.localization.integer
import ring_theory.localization.submodule
import ring_theory.noetherian
import ring_theory.principal_ideal_domain
import tactic.field_simp
/-!
# Fractional ideals
This file defines fractional ideals of an integral domain and proves basic facts about them.
## Main definitions
Let `S` be a submonoid of an integral domain `R`, `P` the localization of `R` at `S`, and `f` the
natural ring hom from `R` to `P`.
* `is_fractional` defines which `R`-submodules of `P` are fractional ideals
* `fractional_ideal S P` is the type of fractional ideals in `P`
* `has_coe_t (ideal R) (fractional_ideal S P)` instance
* `comm_semiring (fractional_ideal S P)` instance:
the typical ideal operations generalized to fractional ideals
* `lattice (fractional_ideal S P)` instance
* `map` is the pushforward of a fractional ideal along an algebra morphism
Let `K` be the localization of `R` at `R⁰ = R \ {0}` (i.e. the field of fractions).
* `fractional_ideal R⁰ K` is the type of fractional ideals in the field of fractions
* `has_div (fractional_ideal R⁰ K)` instance:
the ideal quotient `I / J` (typically written $I : J$, but a `:` operator cannot be defined)
## Main statements
* `mul_left_mono` and `mul_right_mono` state that ideal multiplication is monotone
* `prod_one_self_div_eq` states that `1 / I` is the inverse of `I` if one exists
* `is_noetherian` states that every fractional ideal of a noetherian integral domain is noetherian
## Implementation notes
Fractional ideals are considered equal when they contain the same elements,
independent of the denominator `a : R` such that `a I ⊆ R`.
Thus, we define `fractional_ideal` to be the subtype of the predicate `is_fractional`,
instead of having `fractional_ideal` be a structure of which `a` is a field.
Most definitions in this file specialize operations from submodules to fractional ideals,
proving that the result of this operation is fractional if the input is fractional.
Exceptions to this rule are defining `(+) := (⊔)` and `⊥ := 0`,
in order to re-use their respective proof terms.
We can still use `simp` to show `↑I + ↑J = ↑(I + J)` and `↑⊥ = ↑0`.
Many results in fact do not need that `P` is a localization, only that `P` is an
`R`-algebra. We omit the `is_localization` parameter whenever this is practical.
Similarly, we don't assume that the localization is a field until we need it to
define ideal quotients. When this assumption is needed, we replace `S` with `R⁰`,
making the localization a field.
## References
* https://en.wikipedia.org/wiki/Fractional_ideal
## Tags
fractional ideal, fractional ideals, invertible ideal
-/
open is_localization
open_locale pointwise
open_locale non_zero_divisors
section defs
variables {R : Type*} [comm_ring R] {S : submonoid R} {P : Type*} [comm_ring P]
variables [algebra R P]
variables (S)
/-- A submodule `I` is a fractional ideal if `a I ⊆ R` for some `a ≠ 0`. -/
def is_fractional (I : submodule R P) :=
∃ a ∈ S, ∀ b ∈ I, is_integer R (a • b)
variables (S P)
/-- The fractional ideals of a domain `R` are ideals of `R` divided by some `a ∈ R`.
More precisely, let `P` be a localization of `R` at some submonoid `S`,
then a fractional ideal `I ⊆ P` is an `R`-submodule of `P`,
such that there is a nonzero `a : R` with `a I ⊆ R`.
-/
def fractional_ideal :=
{I : submodule R P // is_fractional S I}
end defs
namespace fractional_ideal
open set
open submodule
variables {R : Type*} [comm_ring R] {S : submonoid R} {P : Type*} [comm_ring P]
variables [algebra R P] [loc : is_localization S P]
/-- Map a fractional ideal `I` to a submodule by forgetting that `∃ a, a I ⊆ R`.
This coercion is typically called `coe_to_submodule` in lemma names
(or `coe` when the coercion is clear from the context),
not to be confused with `is_localization.coe_submodule : ideal R → submodule R P`
(which we use to define `coe : ideal R → fractional_ideal S P`).
-/
instance : has_coe (fractional_ideal S P) (submodule R P) := ⟨λ I, I.val⟩
protected lemma is_fractional (I : fractional_ideal S P) :
is_fractional S (I : submodule R P) :=
I.prop
section set_like
instance : set_like (fractional_ideal S P) P :=
{ coe := λ I, ↑(I : submodule R P),
coe_injective' := set_like.coe_injective.comp subtype.coe_injective }
@[simp] lemma mem_coe {I : fractional_ideal S P} {x : P} :
x ∈ (I : submodule R P) ↔ x ∈ I :=
iff.rfl
@[ext] lemma ext {I J : fractional_ideal S P} : (∀ x, x ∈ I ↔ x ∈ J) → I = J := set_like.ext
/-- Copy of a `fractional_ideal` with a new underlying set equal to the old one.
Useful to fix definitional equalities. -/
protected def copy (p : fractional_ideal S P) (s : set P) (hs : s = ↑p) : fractional_ideal S P :=
⟨submodule.copy p s hs, by { convert p.is_fractional, ext, simp only [hs], refl }⟩
@[simp] lemma coe_copy (p : fractional_ideal S P) (s : set P) (hs : s = ↑p) :
↑(p.copy s hs) = s :=
rfl
lemma coe_eq (p : fractional_ideal S P) (s : set P) (hs : s = ↑p) : p.copy s hs = p :=
set_like.coe_injective hs
end set_like
@[simp] lemma val_eq_coe (I : fractional_ideal S P) : I.val = I := rfl
@[simp, norm_cast] lemma coe_mk (I : submodule R P) (hI : is_fractional S I) :
(subtype.mk I hI : submodule R P) = I := rfl
/-! Transfer instances from `submodule R P` to `fractional_ideal S P`. -/
instance (I : fractional_ideal S P) : add_comm_group I := submodule.add_comm_group ↑I
instance (I : fractional_ideal S P) : module R I := submodule.module ↑I
lemma coe_to_submodule_injective :
function.injective (coe : fractional_ideal S P → submodule R P) :=
subtype.coe_injective
lemma coe_to_submodule_inj {I J : fractional_ideal S P} : (I : submodule R P) = J ↔ I = J :=
coe_to_submodule_injective.eq_iff
lemma is_fractional_of_le_one (I : submodule R P) (h : I ≤ 1) : is_fractional S I :=
begin
use [1, S.one_mem],
intros b hb,
rw one_smul,
obtain ⟨b', b'_mem, rfl⟩ := h hb,
exact set.mem_range_self b',
end
lemma is_fractional_of_le {I : submodule R P} {J : fractional_ideal S P} (hIJ : I ≤ J) :
is_fractional S I :=
begin
obtain ⟨a, a_mem, ha⟩ := J.is_fractional,
use [a, a_mem],
intros b b_mem,
exact ha b (hIJ b_mem)
end
/-- Map an ideal `I` to a fractional ideal by forgetting `I` is integral.
This is a bundled version of `is_localization.coe_submodule : ideal R → submodule R P`,
which is not to be confused with the `coe : fractional_ideal S P → submodule R P`,
also called `coe_to_submodule` in theorem names.
This map is available as a ring hom, called `fractional_ideal.coe_ideal_hom`.
-/
-- Is a `coe_t` rather than `coe` to speed up failing inference, see library note [use has_coe_t]
instance : has_coe_t (ideal R) (fractional_ideal S P) :=
⟨λ I, ⟨coe_submodule P I,
is_fractional_of_le_one _ $ by simpa using coe_submodule_mono P (le_top : I ≤ ⊤)⟩⟩
@[simp, norm_cast] lemma coe_coe_ideal (I : ideal R) :
((I : fractional_ideal S P) : submodule R P) = coe_submodule P I := rfl
variables (S)
@[simp] lemma mem_coe_ideal {x : P} {I : ideal R} :
x ∈ (I : fractional_ideal S P) ↔ ∃ x', x' ∈ I ∧ algebra_map R P x' = x :=
mem_coe_submodule _ _
lemma mem_coe_ideal_of_mem {x : R} {I : ideal R} (hx : x ∈ I) :
algebra_map R P x ∈ (I : fractional_ideal S P) :=
(mem_coe_ideal S).mpr ⟨x, hx, rfl⟩
lemma coe_ideal_le_coe_ideal' [is_localization S P] (h : S ≤ non_zero_divisors R)
{I J : ideal R} : (I : fractional_ideal S P) ≤ J ↔ I ≤ J :=
coe_submodule_le_coe_submodule h
@[simp] lemma coe_ideal_le_coe_ideal (K : Type*) [comm_ring K] [algebra R K] [is_fraction_ring R K]
{I J : ideal R} : (I : fractional_ideal R⁰ K) ≤ J ↔ I ≤ J :=
is_fraction_ring.coe_submodule_le_coe_submodule
instance : has_zero (fractional_ideal S P) := ⟨(0 : ideal R)⟩
@[simp] lemma mem_zero_iff {x : P} : x ∈ (0 : fractional_ideal S P) ↔ x = 0 :=
⟨(λ ⟨x', x'_mem_zero, x'_eq_x⟩,
have x'_eq_zero : x' = 0 := x'_mem_zero,
by simp [x'_eq_x.symm, x'_eq_zero]),
(λ hx, ⟨0, rfl, by simp [hx]⟩)⟩
variables {S}
@[simp, norm_cast] lemma coe_zero : ↑(0 : fractional_ideal S P) = (⊥ : submodule R P) :=
submodule.ext $ λ _, mem_zero_iff S
@[simp, norm_cast] lemma coe_ideal_bot : ((⊥ : ideal R) : fractional_ideal S P) = 0 := rfl
variables (P)
include loc
@[simp] lemma exists_mem_to_map_eq {x : R} {I : ideal R} (h : S ≤ non_zero_divisors R) :
(∃ x', x' ∈ I ∧ algebra_map R P x' = algebra_map R P x) ↔ x ∈ I :=
⟨λ ⟨x', hx', eq⟩, is_localization.injective _ h eq ▸ hx', λ h, ⟨x, h, rfl⟩⟩
variables {P}
lemma coe_ideal_injective' (h : S ≤ non_zero_divisors R) :
function.injective (coe : ideal R → fractional_ideal S P) :=
λ _ _ h', ((coe_ideal_le_coe_ideal' S h).mp h'.le).antisymm ((coe_ideal_le_coe_ideal' S h).mp h'.ge)
lemma coe_ideal_inj' (h : S ≤ non_zero_divisors R) {I J : ideal R} :
(I : fractional_ideal S P) = J ↔ I = J :=
(coe_ideal_injective' h).eq_iff
@[simp] lemma coe_ideal_eq_zero' {I : ideal R} (h : S ≤ non_zero_divisors R) :
(I : fractional_ideal S P) = 0 ↔ I = (⊥ : ideal R) :=
coe_ideal_inj' h
lemma coe_ideal_ne_zero' {I : ideal R} (h : S ≤ non_zero_divisors R) :
(I : fractional_ideal S P) ≠ 0 ↔ I ≠ (⊥ : ideal R) :=
not_iff_not.mpr $ coe_ideal_eq_zero' h
omit loc
lemma coe_to_submodule_eq_bot {I : fractional_ideal S P} :
(I : submodule R P) = ⊥ ↔ I = 0 :=
⟨λ h, coe_to_submodule_injective (by simp [h]),
λ h, by simp [h]⟩
lemma coe_to_submodule_ne_bot {I : fractional_ideal S P} :
↑I ≠ (⊥ : submodule R P) ↔ I ≠ 0 :=
not_iff_not.mpr coe_to_submodule_eq_bot
instance : inhabited (fractional_ideal S P) := ⟨0⟩
instance : has_one (fractional_ideal S P) :=
⟨(⊤ : ideal R)⟩
variables (S)
@[simp, norm_cast] lemma coe_ideal_top : ((⊤ : ideal R) : fractional_ideal S P) = 1 := rfl
lemma mem_one_iff {x : P} : x ∈ (1 : fractional_ideal S P) ↔ ∃ x' : R, algebra_map R P x' = x :=
iff.intro (λ ⟨x', _, h⟩, ⟨x', h⟩) (λ ⟨x', h⟩, ⟨x', ⟨⟩, h⟩)
lemma coe_mem_one (x : R) : algebra_map R P x ∈ (1 : fractional_ideal S P) :=
(mem_one_iff S).mpr ⟨x, rfl⟩
lemma one_mem_one : (1 : P) ∈ (1 : fractional_ideal S P) :=
(mem_one_iff S).mpr ⟨1, ring_hom.map_one _⟩
variables {S}
/-- `(1 : fractional_ideal S P)` is defined as the R-submodule `f(R) ≤ P`.
However, this is not definitionally equal to `1 : submodule R P`,
which is proved in the actual `simp` lemma `coe_one`. -/
lemma coe_one_eq_coe_submodule_top :
↑(1 : fractional_ideal S P) = coe_submodule P (⊤ : ideal R) :=
rfl
@[simp, norm_cast] lemma coe_one :
(↑(1 : fractional_ideal S P) : submodule R P) = 1 :=
by rw [coe_one_eq_coe_submodule_top, coe_submodule_top]
section lattice
/-!
### `lattice` section
Defines the order on fractional ideals as inclusion of their underlying sets,
and ports the lattice structure on submodules to fractional ideals.
-/
@[simp] lemma coe_le_coe {I J : fractional_ideal S P} :
(I : submodule R P) ≤ (J : submodule R P) ↔ I ≤ J :=
iff.rfl
lemma zero_le (I : fractional_ideal S P) : 0 ≤ I :=
begin
intros x hx,
convert submodule.zero_mem _,
simpa using hx
end
instance order_bot : order_bot (fractional_ideal S P) :=
{ bot := 0,
bot_le := zero_le }
@[simp] lemma bot_eq_zero : (⊥ : fractional_ideal S P) = 0 :=
rfl
@[simp] lemma le_zero_iff {I : fractional_ideal S P} : I ≤ 0 ↔ I = 0 :=
le_bot_iff
lemma eq_zero_iff {I : fractional_ideal S P} : I = 0 ↔ (∀ x ∈ I, x = (0 : P)) :=
⟨ (λ h x hx, by simpa [h, mem_zero_iff] using hx),
(λ h, le_bot_iff.mp (λ x hx, (mem_zero_iff S).mpr (h x hx))) ⟩
lemma _root_.is_fractional.sup {I J : submodule R P} :
is_fractional S I → is_fractional S J → is_fractional S (I ⊔ J)
| ⟨aI, haI, hI⟩ ⟨aJ, haJ, hJ⟩ := ⟨aI * aJ, S.mul_mem haI haJ, λ b hb, begin
rcases mem_sup.mp hb with ⟨bI, hbI, bJ, hbJ, rfl⟩,
rw smul_add,
apply is_integer_add,
{ rw [mul_smul, smul_comm],
exact is_integer_smul (hI bI hbI), },
{ rw mul_smul,
exact is_integer_smul (hJ bJ hbJ) }
end⟩
lemma _root_.is_fractional.inf_right {I : submodule R P} :
is_fractional S I → ∀ J, is_fractional S (I ⊓ J)
| ⟨aI, haI, hI⟩ J := ⟨aI, haI, λ b hb, begin
rcases mem_inf.mp hb with ⟨hbI, hbJ⟩,
exact hI b hbI
end⟩
instance : has_inf (fractional_ideal S P) := ⟨λ I J, ⟨I ⊓ J, I.is_fractional.inf_right J⟩⟩
@[simp, norm_cast]
lemma coe_inf (I J : fractional_ideal S P) : ↑(I ⊓ J) = (I ⊓ J : submodule R P) := rfl
instance : has_sup (fractional_ideal S P) := ⟨λ I J, ⟨I ⊔ J, I.is_fractional.sup J.is_fractional⟩⟩
@[norm_cast]
lemma coe_sup (I J : fractional_ideal S P) : ↑(I ⊔ J) = (I ⊔ J : submodule R P) := rfl
instance lattice : lattice (fractional_ideal S P) :=
function.injective.lattice _ subtype.coe_injective coe_sup coe_inf
instance : semilattice_sup (fractional_ideal S P) :=
{ ..fractional_ideal.lattice }
end lattice
section semiring
instance : has_add (fractional_ideal S P) := ⟨(⊔)⟩
@[simp]
lemma sup_eq_add (I J : fractional_ideal S P) : I ⊔ J = I + J := rfl
@[simp, norm_cast]
lemma coe_add (I J : fractional_ideal S P) : (↑(I + J) : submodule R P) = I + J := rfl
@[simp, norm_cast]
lemma coe_ideal_sup (I J : ideal R) : ↑(I ⊔ J) = (I + J : fractional_ideal S P) :=
coe_to_submodule_injective $ coe_submodule_sup _ _ _
lemma _root_.is_fractional.nsmul {I : submodule R P} :
Π n : ℕ, is_fractional S I → is_fractional S (n • I : submodule R P)
| 0 _ := begin
rw [zero_smul],
convert ((0 : ideal R) : fractional_ideal S P).is_fractional,
simp,
end
| (n + 1) h := begin
rw succ_nsmul,
exact h.sup (_root_.is_fractional.nsmul n h)
end
instance : has_smul ℕ (fractional_ideal S P) :=
{ smul := λ n I, ⟨n • I, I.is_fractional.nsmul n⟩}
@[norm_cast]
lemma coe_nsmul (n : ℕ) (I : fractional_ideal S P) : (↑(n • I) : submodule R P) = n • I := rfl
lemma _root_.is_fractional.mul {I J : submodule R P} :
is_fractional S I → is_fractional S J → is_fractional S (I * J : submodule R P)
| ⟨aI, haI, hI⟩ ⟨aJ, haJ, hJ⟩ := ⟨aI * aJ, S.mul_mem haI haJ, λ b hb, begin
apply submodule.mul_induction_on hb,
{ intros m hm n hn,
obtain ⟨n', hn'⟩ := hJ n hn,
rw [mul_smul, mul_comm m, ← smul_mul_assoc, ← hn', ← algebra.smul_def],
apply hI,
exact submodule.smul_mem _ _ hm },
{ intros x y hx hy,
rw smul_add,
apply is_integer_add hx hy },
end⟩
lemma _root_.is_fractional.pow {I : submodule R P} (h : is_fractional S I) :
∀ n : ℕ, is_fractional S (I ^ n : submodule R P)
| 0 := is_fractional_of_le_one _ (pow_zero _).le
| (n + 1) := (pow_succ I n).symm ▸ h.mul (_root_.is_fractional.pow n)
/-- `fractional_ideal.mul` is the product of two fractional ideals,
used to define the `has_mul` instance.
This is only an auxiliary definition: the preferred way of writing `I.mul J` is `I * J`.
Elaborated terms involving `fractional_ideal` tend to grow quite large,
so by making definitions irreducible, we hope to avoid deep unfolds.
-/
@[irreducible]
def mul (I J : fractional_ideal S P) : fractional_ideal S P :=
⟨I * J, I.is_fractional.mul J.is_fractional⟩
local attribute [semireducible] mul
instance : has_mul (fractional_ideal S P) := ⟨λ I J, mul I J⟩
@[simp] lemma mul_eq_mul (I J : fractional_ideal S P) : mul I J = I * J := rfl
@[simp, norm_cast]
lemma coe_mul (I J : fractional_ideal S P) : (↑(I * J) : submodule R P) = I * J := rfl
@[simp, norm_cast]
lemma coe_ideal_mul (I J : ideal R) : (↑(I * J) : fractional_ideal S P) = I * J :=
coe_to_submodule_injective $ coe_submodule_mul _ _ _
lemma mul_left_mono (I : fractional_ideal S P) : monotone ((*) I) :=
λ J J' h, mul_le.mpr (λ x hx y hy, mul_mem_mul hx (h hy))
lemma mul_right_mono (I : fractional_ideal S P) : monotone (λ J, J * I) :=
λ J J' h, mul_le.mpr (λ x hx y hy, mul_mem_mul (h hx) hy)
lemma mul_mem_mul {I J : fractional_ideal S P} {i j : P} (hi : i ∈ I) (hj : j ∈ J) :
i * j ∈ I * J := submodule.mul_mem_mul hi hj
lemma mul_le {I J K : fractional_ideal S P} :
I * J ≤ K ↔ (∀ (i ∈ I) (j ∈ J), i * j ∈ K) :=
submodule.mul_le
instance : has_pow (fractional_ideal S P) ℕ := ⟨λ I n, ⟨I^n, I.is_fractional.pow n⟩⟩
@[simp, norm_cast]
lemma coe_pow (I : fractional_ideal S P) (n : ℕ) : ↑(I ^ n) = (I ^ n : submodule R P) := rfl
@[elab_as_eliminator] protected theorem mul_induction_on
{I J : fractional_ideal S P}
{C : P → Prop} {r : P} (hr : r ∈ I * J)
(hm : ∀ (i ∈ I) (j ∈ J), C (i * j))
(ha : ∀ x y, C x → C y → C (x + y)) : C r :=
submodule.mul_induction_on hr hm ha
instance : has_nat_cast (fractional_ideal S P) := ⟨nat.unary_cast⟩
lemma coe_nat_cast (n : ℕ) : ((n : fractional_ideal S P) : submodule R P) = n :=
show ↑n.unary_cast = ↑n, by induction n; simp [*, nat.unary_cast]
instance : comm_semiring (fractional_ideal S P) :=
function.injective.comm_semiring coe subtype.coe_injective
coe_zero coe_one coe_add coe_mul (λ _ _, coe_nsmul _ _) coe_pow coe_nat_cast
section order
lemma add_le_add_left {I J : fractional_ideal S P} (hIJ : I ≤ J) (J' : fractional_ideal S P) :
J' + I ≤ J' + J :=
sup_le_sup_left hIJ J'
lemma mul_le_mul_left {I J : fractional_ideal S P} (hIJ : I ≤ J) (J' : fractional_ideal S P) :
J' * I ≤ J' * J :=
mul_le.mpr (λ k hk j hj, mul_mem_mul hk (hIJ hj))
lemma le_self_mul_self {I : fractional_ideal S P} (hI: 1 ≤ I) : I ≤ I * I :=
begin
convert mul_left_mono I hI,
exact (mul_one I).symm
end
lemma mul_self_le_self {I : fractional_ideal S P} (hI: I ≤ 1) : I * I ≤ I :=
begin
convert mul_left_mono I hI,
exact (mul_one I).symm
end
lemma coe_ideal_le_one {I : ideal R} : (I : fractional_ideal S P) ≤ 1 :=
λ x hx, let ⟨y, _, hy⟩ := (mem_coe_ideal S).mp hx in (mem_one_iff S).mpr ⟨y, hy⟩
lemma le_one_iff_exists_coe_ideal {J : fractional_ideal S P} :
J ≤ (1 : fractional_ideal S P) ↔ ∃ (I : ideal R), ↑I = J :=
begin
split,
{ intro hJ,
refine ⟨⟨{x : R | algebra_map R P x ∈ J}, _, _, _⟩, _⟩,
{ intros a b ha hb,
rw [mem_set_of_eq, ring_hom.map_add],
exact J.val.add_mem ha hb },
{ rw [mem_set_of_eq, ring_hom.map_zero],
exact J.val.zero_mem },
{ intros c x hx,
rw [smul_eq_mul, mem_set_of_eq, ring_hom.map_mul, ← algebra.smul_def],
exact J.val.smul_mem c hx },
{ ext x,
split,
{ rintros ⟨y, hy, eq_y⟩,
rwa ← eq_y },
{ intro hx,
obtain ⟨y, eq_x⟩ := (mem_one_iff S).mp (hJ hx),
rw ← eq_x at *,
exact ⟨y, hx, rfl⟩ } } },
{ rintro ⟨I, hI⟩,
rw ← hI,
apply coe_ideal_le_one },
end
variables (S P)
/-- `coe_ideal_hom (S : submonoid R) P` is `coe : ideal R → fractional_ideal S P` as a ring hom -/
@[simps]
def coe_ideal_hom : ideal R →+* fractional_ideal S P :=
{ to_fun := coe,
map_add' := coe_ideal_sup,
map_mul' := coe_ideal_mul,
map_one' := by rw [ideal.one_eq_top, coe_ideal_top],
map_zero' := coe_ideal_bot }
lemma coe_ideal_pow (I : ideal R) (n : ℕ) : (↑(I^n) : fractional_ideal S P) = I^n :=
(coe_ideal_hom S P).map_pow _ n
open_locale big_operators
lemma coe_ideal_finprod [is_localization S P] {α : Sort*} {f : α → ideal R}
(hS : S ≤ non_zero_divisors R) :
((∏ᶠ a : α, f a : ideal R) : fractional_ideal S P) = ∏ᶠ a : α, (f a : fractional_ideal S P) :=
monoid_hom.map_finprod_of_injective (coe_ideal_hom S P).to_monoid_hom (coe_ideal_injective' hS) f
end order
variables {P' : Type*} [comm_ring P'] [algebra R P'] [loc' : is_localization S P']
variables {P'' : Type*} [comm_ring P''] [algebra R P''] [loc'' : is_localization S P'']
lemma _root_.is_fractional.map (g : P →ₐ[R] P') {I : submodule R P} :
is_fractional S I → is_fractional S (submodule.map g.to_linear_map I)
| ⟨a, a_nonzero, hI⟩ := ⟨a, a_nonzero, λ b hb, begin
obtain ⟨b', b'_mem, hb'⟩ := submodule.mem_map.mp hb,
obtain ⟨x, hx⟩ := hI b' b'_mem,
use x,
erw [←g.commutes, hx, g.map_smul, hb']
end⟩
/-- `I.map g` is the pushforward of the fractional ideal `I` along the algebra morphism `g` -/
def map (g : P →ₐ[R] P') :
fractional_ideal S P → fractional_ideal S P' :=
λ I, ⟨submodule.map g.to_linear_map I, I.is_fractional.map g⟩
@[simp, norm_cast] lemma coe_map (g : P →ₐ[R] P') (I : fractional_ideal S P) :
↑(map g I) = submodule.map g.to_linear_map I := rfl
@[simp] lemma mem_map {I : fractional_ideal S P} {g : P →ₐ[R] P'}
{y : P'} : y ∈ I.map g ↔ ∃ x, x ∈ I ∧ g x = y :=
submodule.mem_map
variables (I J : fractional_ideal S P) (g : P →ₐ[R] P')
@[simp] lemma map_id : I.map (alg_hom.id _ _) = I :=
coe_to_submodule_injective (submodule.map_id I)
@[simp] lemma map_comp (g' : P' →ₐ[R] P'') :
I.map (g'.comp g) = (I.map g).map g' :=
coe_to_submodule_injective (submodule.map_comp g.to_linear_map g'.to_linear_map I)
@[simp, norm_cast] lemma map_coe_ideal (I : ideal R) :
(I : fractional_ideal S P).map g = I :=
begin
ext x,
simp only [mem_coe_ideal],
split,
{ rintro ⟨_, ⟨y, hy, rfl⟩, rfl⟩,
exact ⟨y, hy, (g.commutes y).symm⟩ },
{ rintro ⟨y, hy, rfl⟩,
exact ⟨_, ⟨y, hy, rfl⟩, g.commutes y⟩ },
end
@[simp] lemma map_one :
(1 : fractional_ideal S P).map g = 1 :=
map_coe_ideal g ⊤
@[simp] lemma map_zero :
(0 : fractional_ideal S P).map g = 0 :=
map_coe_ideal g 0
@[simp] lemma map_add : (I + J).map g = I.map g + J.map g :=
coe_to_submodule_injective (submodule.map_sup _ _ _)
@[simp] lemma map_mul : (I * J).map g = I.map g * J.map g :=
coe_to_submodule_injective (submodule.map_mul _ _ _)
@[simp] lemma map_map_symm (g : P ≃ₐ[R] P') :
(I.map (g : P →ₐ[R] P')).map (g.symm : P' →ₐ[R] P) = I :=
by rw [←map_comp, g.symm_comp, map_id]
@[simp] lemma map_symm_map (I : fractional_ideal S P') (g : P ≃ₐ[R] P') :
(I.map (g.symm : P' →ₐ[R] P)).map (g : P →ₐ[R] P') = I :=
by rw [←map_comp, g.comp_symm, map_id]
lemma map_mem_map {f : P →ₐ[R] P'} (h : function.injective f) {x : P} {I : fractional_ideal S P} :
f x ∈ map f I ↔ x ∈ I :=
mem_map.trans ⟨λ ⟨x', hx', x'_eq⟩, h x'_eq ▸ hx', λ h, ⟨x, h, rfl⟩⟩
lemma map_injective (f : P →ₐ[R] P') (h : function.injective f) :
function.injective (map f : fractional_ideal S P → fractional_ideal S P') :=
λ I J hIJ, ext (λ x, (map_mem_map h).symm.trans (hIJ.symm ▸ map_mem_map h))
/-- If `g` is an equivalence, `map g` is an isomorphism -/
def map_equiv (g : P ≃ₐ[R] P') :
fractional_ideal S P ≃+* fractional_ideal S P' :=
{ to_fun := map g,
inv_fun := map g.symm,
map_add' := λ I J, map_add I J _,
map_mul' := λ I J, map_mul I J _,
left_inv := λ I, by { rw [←map_comp, alg_equiv.symm_comp, map_id] },
right_inv := λ I, by { rw [←map_comp, alg_equiv.comp_symm, map_id] } }
@[simp] lemma coe_fun_map_equiv (g : P ≃ₐ[R] P') :
(map_equiv g : fractional_ideal S P → fractional_ideal S P') = map g :=
rfl
@[simp] lemma map_equiv_apply (g : P ≃ₐ[R] P') (I : fractional_ideal S P) :
map_equiv g I = map ↑g I := rfl
@[simp] lemma map_equiv_symm (g : P ≃ₐ[R] P') :
((map_equiv g).symm : fractional_ideal S P' ≃+* _) = map_equiv g.symm := rfl
@[simp] lemma map_equiv_refl :
map_equiv alg_equiv.refl = ring_equiv.refl (fractional_ideal S P) :=
ring_equiv.ext (λ x, by simp)
lemma is_fractional_span_iff {s : set P} :
is_fractional S (span R s) ↔ ∃ a ∈ S, ∀ (b : P), b ∈ s → is_integer R (a • b) :=
⟨λ ⟨a, a_mem, h⟩, ⟨a, a_mem, λ b hb, h b (subset_span hb)⟩,
λ ⟨a, a_mem, h⟩, ⟨a, a_mem, λ b hb, span_induction hb
h
(by { rw smul_zero, exact is_integer_zero })
(λ x y hx hy, by { rw smul_add, exact is_integer_add hx hy })
(λ s x hx, by { rw smul_comm, exact is_integer_smul hx })⟩⟩
include loc
lemma is_fractional_of_fg {I : submodule R P} (hI : I.fg) :
is_fractional S I :=
begin
rcases hI with ⟨I, rfl⟩,
rcases exist_integer_multiples_of_finset S I with ⟨⟨s, hs1⟩, hs⟩,
rw is_fractional_span_iff,
exact ⟨s, hs1, hs⟩,
end
omit loc
lemma mem_span_mul_finite_of_mem_mul {I J : fractional_ideal S P} {x : P} (hx : x ∈ I * J) :
∃ (T T' : finset P), (T : set P) ⊆ I ∧ (T' : set P) ⊆ J ∧ x ∈ span R (T * T' : set P) :=
submodule.mem_span_mul_finite_of_mem_mul (by simpa using mem_coe.mpr hx)
variables (S)
lemma coe_ideal_fg (inj : function.injective (algebra_map R P)) (I : ideal R) :
fg ((I : fractional_ideal S P) : submodule R P) ↔ I.fg :=
coe_submodule_fg _ inj _
variables {S}
lemma fg_unit (I : (fractional_ideal S P)ˣ) :
fg (I : submodule R P) :=
begin
have : (1 : P) ∈ (I * ↑I⁻¹ : fractional_ideal S P),
{ rw units.mul_inv, exact one_mem_one _ },
obtain ⟨T, T', hT, hT', one_mem⟩ := mem_span_mul_finite_of_mem_mul this,
refine ⟨T, submodule.span_eq_of_le _ hT _⟩,
rw [← one_mul ↑I, ← mul_one (span R ↑T)],
conv_rhs { rw [← coe_one, ← units.mul_inv I, coe_mul, mul_comm ↑↑I, ← mul_assoc] },
refine submodule.mul_le_mul_left
(le_trans _ (submodule.mul_le_mul_right (submodule.span_le.mpr hT'))),
rwa [submodule.one_le, submodule.span_mul_span]
end
lemma fg_of_is_unit (I : fractional_ideal S P) (h : is_unit I) :
fg (I : submodule R P) :=
by { rcases h with ⟨I, rfl⟩, exact fg_unit I }
lemma _root_.ideal.fg_of_is_unit (inj : function.injective (algebra_map R P))
(I : ideal R) (h : is_unit (I : fractional_ideal S P)) :
I.fg :=
by { rw ← coe_ideal_fg S inj I, exact fg_of_is_unit I h }
variables (S P P')
include loc loc'
/-- `canonical_equiv f f'` is the canonical equivalence between the fractional
ideals in `P` and in `P'` -/
@[irreducible]
noncomputable def canonical_equiv :
fractional_ideal S P ≃+* fractional_ideal S P' :=
map_equiv
{ commutes' := λ r, ring_equiv_of_ring_equiv_eq _ _,
..ring_equiv_of_ring_equiv P P' (ring_equiv.refl R)
(show S.map _ = S, by rw [ring_equiv.to_monoid_hom_refl, submonoid.map_id]) }
@[simp] lemma mem_canonical_equiv_apply {I : fractional_ideal S P} {x : P'} :
x ∈ canonical_equiv S P P' I ↔
∃ y ∈ I, is_localization.map P' (ring_hom.id R)
(λ y (hy : y ∈ S), show ring_hom.id R y ∈ S, from hy) (y : P) = x :=
begin
rw [canonical_equiv, map_equiv_apply, mem_map],
exact ⟨λ ⟨y, mem, eq⟩, ⟨y, mem, eq⟩, λ ⟨y, mem, eq⟩, ⟨y, mem, eq⟩⟩
end
@[simp] lemma canonical_equiv_symm :
(canonical_equiv S P P').symm = canonical_equiv S P' P :=
ring_equiv.ext $ λ I, set_like.ext_iff.mpr $ λ x,
by { rw [mem_canonical_equiv_apply, canonical_equiv, map_equiv_symm, map_equiv,
ring_equiv.coe_mk, mem_map],
exact ⟨λ ⟨y, mem, eq⟩, ⟨y, mem, eq⟩, λ ⟨y, mem, eq⟩, ⟨y, mem, eq⟩⟩ }
lemma canonical_equiv_flip (I) :
canonical_equiv S P P' (canonical_equiv S P' P I) = I :=
by rw [←canonical_equiv_symm, ring_equiv.symm_apply_apply]
@[simp]
lemma canonical_equiv_canonical_equiv (P'' : Type*) [comm_ring P''] [algebra R P'']
[is_localization S P''] (I : fractional_ideal S P) :
canonical_equiv S P' P'' (canonical_equiv S P P' I) = canonical_equiv S P P'' I :=
begin
ext,
simp only [is_localization.map_map, ring_hom_inv_pair.comp_eq₂, mem_canonical_equiv_apply,
exists_prop, exists_exists_and_eq_and],
refl
end
lemma canonical_equiv_trans_canonical_equiv (P'' : Type*) [comm_ring P'']
[algebra R P''] [is_localization S P''] :
(canonical_equiv S P P').trans (canonical_equiv S P' P'') = canonical_equiv S P P'' :=
ring_equiv.ext (canonical_equiv_canonical_equiv S P P' P'')
@[simp]
lemma canonical_equiv_coe_ideal (I : ideal R) :
canonical_equiv S P P' I = I :=
by { ext, simp [is_localization.map_eq] }
omit loc'
@[simp]
lemma canonical_equiv_self : canonical_equiv S P P = ring_equiv.refl _ :=
begin
rw ← canonical_equiv_trans_canonical_equiv S P P,
convert (canonical_equiv S P P).symm_trans_self,
exact (canonical_equiv_symm S P P).symm
end
end semiring
section is_fraction_ring
/-!
### `is_fraction_ring` section
This section concerns fractional ideals in the field of fractions,
i.e. the type `fractional_ideal R⁰ K` where `is_fraction_ring R K`.
-/
variables {K K' : Type*} [field K] [field K']
variables [algebra R K] [is_fraction_ring R K] [algebra R K'] [is_fraction_ring R K']
variables {I J : fractional_ideal R⁰ K} (h : K →ₐ[R] K')
/-- Nonzero fractional ideals contain a nonzero integer. -/
lemma exists_ne_zero_mem_is_integer [nontrivial R] (hI : I ≠ 0) :
∃ x ≠ (0 : R), algebra_map R K x ∈ I :=
begin
obtain ⟨y, y_mem, y_not_mem⟩ := set_like.exists_of_lt
(by simpa only using bot_lt_iff_ne_bot.mpr hI),
have y_ne_zero : y ≠ 0 := by simpa using y_not_mem,
obtain ⟨z, ⟨x, hx⟩⟩ := exists_integer_multiple R⁰ y,
refine ⟨x, _, _⟩,
{ rw [ne.def, ← @is_fraction_ring.to_map_eq_zero_iff R _ K, hx, algebra.smul_def],
exact mul_ne_zero (is_fraction_ring.to_map_ne_zero_of_mem_non_zero_divisors z.2) y_ne_zero },
{ rw hx,
exact smul_mem _ _ y_mem }
end
lemma map_ne_zero [nontrivial R] (hI : I ≠ 0) : I.map h ≠ 0 :=
begin
obtain ⟨x, x_ne_zero, hx⟩ := exists_ne_zero_mem_is_integer hI,
contrapose! x_ne_zero with map_eq_zero,
refine is_fraction_ring.to_map_eq_zero_iff.mp (eq_zero_iff.mp map_eq_zero _ (mem_map.mpr _)),
exact ⟨algebra_map R K x, hx, h.commutes x⟩,
end
@[simp] lemma map_eq_zero_iff [nontrivial R] : I.map h = 0 ↔ I = 0 :=
⟨imp_of_not_imp_not _ _ (map_ne_zero _), λ hI, hI.symm ▸ map_zero h⟩
lemma coe_ideal_injective : function.injective (coe : ideal R → fractional_ideal R⁰ K) :=
coe_ideal_injective' le_rfl
lemma coe_ideal_inj {I J : ideal R} :
(I : fractional_ideal R⁰ K) = (J : fractional_ideal R⁰ K) ↔ I = J :=
coe_ideal_inj' le_rfl
@[simp] lemma coe_ideal_eq_zero {I : ideal R} : (I : fractional_ideal R⁰ K) = 0 ↔ I = ⊥ :=
coe_ideal_eq_zero' le_rfl
lemma coe_ideal_ne_zero {I : ideal R} : (I : fractional_ideal R⁰ K) ≠ 0 ↔ I ≠ ⊥ :=
coe_ideal_ne_zero' le_rfl
@[simp] lemma coe_ideal_eq_one {I : ideal R} : (I : fractional_ideal R⁰ K) = 1 ↔ I = 1 :=
by simpa only [ideal.one_eq_top] using coe_ideal_inj
lemma coe_ideal_ne_one {I : ideal R} : (I : fractional_ideal R⁰ K) ≠ 1 ↔ I ≠ 1 :=
not_iff_not.mpr coe_ideal_eq_one
end is_fraction_ring
section quotient
/-!
### `quotient` section
This section defines the ideal quotient of fractional ideals.
In this section we need that each non-zero `y : R` has an inverse in
the localization, i.e. that the localization is a field. We satisfy this
assumption by taking `S = non_zero_divisors R`, `R`'s localization at which
is a field because `R` is a domain.
-/
open_locale classical
variables {R₁ : Type*} [comm_ring R₁] {K : Type*} [field K]
variables [algebra R₁ K] [frac : is_fraction_ring R₁ K]
instance : nontrivial (fractional_ideal R₁⁰ K) :=
⟨⟨0, 1, λ h,
have this : (1 : K) ∈ (0 : fractional_ideal R₁⁰ K) :=
by { rw ← (algebra_map R₁ K).map_one, simpa only [h] using coe_mem_one R₁⁰ 1 },
one_ne_zero ((mem_zero_iff _).mp this)⟩⟩
lemma ne_zero_of_mul_eq_one (I J : fractional_ideal R₁⁰ K) (h : I * J = 1) : I ≠ 0 :=
λ hI, zero_ne_one' (fractional_ideal R₁⁰ K) (by { convert h, simp [hI], })
variables [is_domain R₁]
include frac
lemma _root_.is_fractional.div_of_nonzero {I J : submodule R₁ K} :
is_fractional R₁⁰ I → is_fractional R₁⁰ J → J ≠ 0 → is_fractional R₁⁰ (I / J)
| ⟨aI, haI, hI⟩ ⟨aJ, haJ, hJ⟩ h := begin
obtain ⟨y, mem_J, not_mem_zero⟩ := set_like.exists_of_lt
(by simpa only using bot_lt_iff_ne_bot.mpr h),
obtain ⟨y', hy'⟩ := hJ y mem_J,
use (aI * y'),
split,
{ apply (non_zero_divisors R₁).mul_mem haI (mem_non_zero_divisors_iff_ne_zero.mpr _),
intro y'_eq_zero,
have : algebra_map R₁ K aJ * y = 0,
{ rw [← algebra.smul_def, ←hy', y'_eq_zero, ring_hom.map_zero] },
have y_zero := (mul_eq_zero.mp this).resolve_left
(mt ((injective_iff_map_eq_zero (algebra_map R₁ K)).1 (is_fraction_ring.injective _ _) _)
(mem_non_zero_divisors_iff_ne_zero.mp haJ)),
apply not_mem_zero,
simpa only using (mem_zero_iff R₁⁰).mpr y_zero, },
intros b hb,
convert hI _ (hb _ (submodule.smul_mem _ aJ mem_J)) using 1,
rw [← hy', mul_comm b, ← algebra.smul_def, mul_smul]
end
lemma fractional_div_of_nonzero {I J : fractional_ideal R₁⁰ K} (h : J ≠ 0) :
is_fractional R₁⁰ (I / J : submodule R₁ K) :=
I.is_fractional.div_of_nonzero J.is_fractional $ λ H, h $
coe_to_submodule_injective $ H.trans coe_zero.symm
noncomputable instance fractional_ideal_has_div :
has_div (fractional_ideal R₁⁰ K) :=
⟨ λ I J, if h : J = 0 then 0 else ⟨I / J, fractional_div_of_nonzero h⟩ ⟩
variables {I J : fractional_ideal R₁⁰ K} [ J ≠ 0 ]
@[simp] lemma div_zero {I : fractional_ideal R₁⁰ K} :
I / 0 = 0 :=
dif_pos rfl
lemma div_nonzero {I J : fractional_ideal R₁⁰ K} (h : J ≠ 0) :
(I / J) = ⟨I / J, fractional_div_of_nonzero h⟩ :=
dif_neg h
@[simp] lemma coe_div {I J : fractional_ideal R₁⁰ K} (hJ : J ≠ 0) :
(↑(I / J) : submodule R₁ K) = ↑I / (↑J : submodule R₁ K) :=
congr_arg _ (dif_neg hJ)
lemma mem_div_iff_of_nonzero {I J : fractional_ideal R₁⁰ K} (h : J ≠ 0) {x} :
x ∈ I / J ↔ ∀ y ∈ J, x * y ∈ I :=
by { rw div_nonzero h, exact submodule.mem_div_iff_forall_mul_mem }
lemma mul_one_div_le_one {I : fractional_ideal R₁⁰ K} : I * (1 / I) ≤ 1 :=
begin
by_cases hI : I = 0,
{ rw [hI, div_zero, mul_zero],
exact zero_le 1 },
{ rw [← coe_le_coe, coe_mul, coe_div hI, coe_one],
apply submodule.mul_one_div_le_one },
end
lemma le_self_mul_one_div {I : fractional_ideal R₁⁰ K} (hI : I ≤ (1 : fractional_ideal R₁⁰ K)) :
I ≤ I * (1 / I) :=
begin
by_cases hI_nz : I = 0,
{ rw [hI_nz, div_zero, mul_zero], exact zero_le 0 },
{ rw [← coe_le_coe, coe_mul, coe_div hI_nz, coe_one],
rw [← coe_le_coe, coe_one] at hI,
exact submodule.le_self_mul_one_div hI },
end
lemma le_div_iff_of_nonzero {I J J' : fractional_ideal R₁⁰ K} (hJ' : J' ≠ 0) :
I ≤ J / J' ↔ ∀ (x ∈ I) (y ∈ J'), x * y ∈ J :=
⟨ λ h x hx, (mem_div_iff_of_nonzero hJ').mp (h hx),
λ h x hx, (mem_div_iff_of_nonzero hJ').mpr (h x hx) ⟩
lemma le_div_iff_mul_le {I J J' : fractional_ideal R₁⁰ K} (hJ' : J' ≠ 0) :
I ≤ J / J' ↔ I * J' ≤ J :=
begin
rw div_nonzero hJ',
convert submodule.le_div_iff_mul_le using 1,
rw [← coe_mul, coe_le_coe]
end
@[simp] lemma div_one {I : fractional_ideal R₁⁰ K} : I / 1 = I :=
begin
rw [div_nonzero (one_ne_zero' (fractional_ideal R₁⁰ K))],
ext,
split; intro h,
{ simpa using mem_div_iff_forall_mul_mem.mp h 1
((algebra_map R₁ K).map_one ▸ coe_mem_one R₁⁰ 1) },
{ apply mem_div_iff_forall_mul_mem.mpr,
rintros y ⟨y', _, rfl⟩,
rw mul_comm,
convert submodule.smul_mem _ y' h,
exact (algebra.smul_def _ _).symm }
end
theorem eq_one_div_of_mul_eq_one_right (I J : fractional_ideal R₁⁰ K) (h : I * J = 1) :
J = 1 / I :=
begin
have hI : I ≠ 0 := ne_zero_of_mul_eq_one I J h,
suffices h' : I * (1 / I) = 1,
{ exact (congr_arg units.inv $
@units.ext _ _ (units.mk_of_mul_eq_one _ _ h) (units.mk_of_mul_eq_one _ _ h') rfl) },
apply le_antisymm,
{ apply mul_le.mpr _,
intros x hx y hy,
rw mul_comm,
exact (mem_div_iff_of_nonzero hI).mp hy x hx },
rw ← h,
apply mul_left_mono I,
apply (le_div_iff_of_nonzero hI).mpr _,
intros y hy x hx,
rw mul_comm,
exact mul_mem_mul hx hy,
end
theorem mul_div_self_cancel_iff {I : fractional_ideal R₁⁰ K} :
I * (1 / I) = 1 ↔ ∃ J, I * J = 1 :=
⟨λ h, ⟨(1 / I), h⟩, λ ⟨J, hJ⟩, by rwa [← eq_one_div_of_mul_eq_one_right I J hJ]⟩
variables {K' : Type*} [field K'] [algebra R₁ K'] [is_fraction_ring R₁ K']
@[simp] lemma map_div (I J : fractional_ideal R₁⁰ K) (h : K ≃ₐ[R₁] K') :
(I / J).map (h : K →ₐ[R₁] K') = I.map h / J.map h :=
begin
by_cases H : J = 0,
{ rw [H, div_zero, map_zero, div_zero] },
{ apply coe_to_submodule_injective,
simp [div_nonzero H, div_nonzero (map_ne_zero _ H), submodule.map_div] }
end
@[simp] lemma map_one_div (I : fractional_ideal R₁⁰ K) (h : K ≃ₐ[R₁] K') :
(1 / I).map (h : K →ₐ[R₁] K') = 1 / I.map h :=
by rw [map_div, map_one]
end quotient
section field
variables {R₁ K L : Type*} [comm_ring R₁] [field K] [field L]
variables [algebra R₁ K] [is_fraction_ring R₁ K] [algebra K L] [is_fraction_ring K L]
lemma eq_zero_or_one (I : fractional_ideal K⁰ L) : I = 0 ∨ I = 1 :=
begin
rw or_iff_not_imp_left,
intro hI,
simp_rw [@set_like.ext_iff _ _ _ I 1, mem_one_iff],
intro x,
split,
{ intro x_mem,
obtain ⟨n, d, rfl⟩ := is_localization.mk'_surjective K⁰ x,
refine ⟨n / d, _⟩,
rw [map_div₀, is_fraction_ring.mk'_eq_div] },
{ rintro ⟨x, rfl⟩,
obtain ⟨y, y_ne, y_mem⟩ := exists_ne_zero_mem_is_integer hI,
rw [← div_mul_cancel x y_ne, ring_hom.map_mul, ← algebra.smul_def],
exact submodule.smul_mem I _ y_mem }
end
lemma eq_zero_or_one_of_is_field (hF : is_field R₁) (I : fractional_ideal R₁⁰ K) : I = 0 ∨ I = 1 :=
by letI : field R₁ := hF.to_field; exact eq_zero_or_one I
end field
section principal_ideal_ring
variables {R₁ : Type*} [comm_ring R₁] {K : Type*} [field K]
variables [algebra R₁ K] [is_fraction_ring R₁ K]
open_locale classical
variables (R₁)
/-- `fractional_ideal.span_finset R₁ s f` is the fractional ideal of `R₁` generated by `f '' s`. -/
@[simps] def span_finset {ι : Type*} (s : finset ι) (f : ι → K) : fractional_ideal R₁⁰ K :=
⟨submodule.span R₁ (f '' s), begin
obtain ⟨a', ha'⟩ := is_localization.exist_integer_multiples R₁⁰ s f,
refine ⟨a', a'.2, λ x hx, submodule.span_induction hx _ _ _ _⟩,
{ rintro _ ⟨i, hi, rfl⟩, exact ha' i hi },
{ rw smul_zero, exact is_localization.is_integer_zero },
{ intros x y hx hy, rw smul_add, exact is_localization.is_integer_add hx hy },
{ intros c x hx, rw smul_comm, exact is_localization.is_integer_smul hx }
end⟩
variables {R₁}
@[simp] lemma span_finset_eq_zero {ι : Type*} {s : finset ι} {f : ι → K} :
span_finset R₁ s f = 0 ↔ ∀ j ∈ s, f j = 0 :=
by simp only [← coe_to_submodule_inj, span_finset_coe, coe_zero, submodule.span_eq_bot,
set.mem_image, finset.mem_coe, forall_exists_index, and_imp, forall_apply_eq_imp_iff₂]
lemma span_finset_ne_zero {ι : Type*} {s : finset ι} {f : ι → K} :
span_finset R₁ s f ≠ 0 ↔ ∃ j ∈ s, f j ≠ 0 :=
by simp
open submodule.is_principal
include loc
lemma is_fractional_span_singleton (x : P) : is_fractional S (span R {x} : submodule R P) :=
let ⟨a, ha⟩ := exists_integer_multiple S x in
is_fractional_span_iff.mpr ⟨a, a.2, λ x' hx', (set.mem_singleton_iff.mp hx').symm ▸ ha⟩
variables (S)
/-- `span_singleton x` is the fractional ideal generated by `x` if `0 ∉ S` -/
@[irreducible]
def span_singleton (x : P) : fractional_ideal S P :=
⟨span R {x}, is_fractional_span_singleton x⟩
local attribute [semireducible] span_singleton
@[simp] lemma coe_span_singleton (x : P) :
(span_singleton S x : submodule R P) = span R {x} := rfl
@[simp] lemma mem_span_singleton {x y : P} :
x ∈ span_singleton S y ↔ ∃ (z : R), z • y = x :=
submodule.mem_span_singleton
lemma mem_span_singleton_self (x : P) :
x ∈ span_singleton S x :=
(mem_span_singleton S).mpr ⟨1, one_smul _ _⟩
variables {S}
lemma span_singleton_eq_span_singleton [no_zero_smul_divisors R P] {x y : P} :
span_singleton S x = span_singleton S y ↔ ∃ z : Rˣ, z • x = y :=
by { rw [← submodule.span_singleton_eq_span_singleton], exact subtype.mk_eq_mk }
lemma eq_span_singleton_of_principal (I : fractional_ideal S P)
[is_principal (I : submodule R P)] :
I = span_singleton S (generator (I : submodule R P)) :=
coe_to_submodule_injective (span_singleton_generator ↑I).symm
lemma is_principal_iff (I : fractional_ideal S P) :
is_principal (I : submodule R P) ↔ ∃ x, I = span_singleton S x :=
⟨λ h, ⟨@generator _ _ _ _ _ ↑I h, @eq_span_singleton_of_principal _ _ _ _ _ _ _ I h⟩,
λ ⟨x, hx⟩, { principal := ⟨x, trans (congr_arg _ hx) (coe_span_singleton _ x)⟩ } ⟩
@[simp] lemma span_singleton_zero : span_singleton S (0 : P) = 0 :=
by { ext, simp [submodule.mem_span_singleton, eq_comm] }
lemma span_singleton_eq_zero_iff {y : P} : span_singleton S y = 0 ↔ y = 0 :=
⟨λ h, span_eq_bot.mp (by simpa using congr_arg subtype.val h : span R {y} = ⊥) y (mem_singleton y),
λ h, by simp [h] ⟩
lemma span_singleton_ne_zero_iff {y : P} : span_singleton S y ≠ 0 ↔ y ≠ 0 :=
not_congr span_singleton_eq_zero_iff
@[simp] lemma span_singleton_one : span_singleton S (1 : P) = 1 :=
begin
ext,
refine (mem_span_singleton S).trans ((exists_congr _).trans (mem_one_iff S).symm),
intro x',
rw [algebra.smul_def, mul_one]
end
@[simp]
lemma span_singleton_mul_span_singleton (x y : P) :
span_singleton S x * span_singleton S y = span_singleton S (x * y) :=
begin
apply coe_to_submodule_injective,
simp only [coe_mul, coe_span_singleton, span_mul_span, singleton_mul_singleton],
end
@[simp]
lemma span_singleton_pow (x : P) (n : ℕ) : span_singleton S x ^ n = span_singleton S (x ^ n) :=
begin
induction n with n hn,
{ rw [pow_zero, pow_zero, span_singleton_one] },
{ rw [pow_succ, hn, span_singleton_mul_span_singleton, pow_succ] }
end
@[simp]
lemma coe_ideal_span_singleton (x : R) :
(↑(ideal.span {x} : ideal R) : fractional_ideal S P) = span_singleton S (algebra_map R P x) :=
begin
ext y,
refine (mem_coe_ideal S).trans (iff.trans _ (mem_span_singleton S).symm),
split,
{ rintros ⟨y', hy', rfl⟩,
obtain ⟨x', rfl⟩ := submodule.mem_span_singleton.mp hy',
use x',
rw [smul_eq_mul, ring_hom.map_mul, algebra.smul_def] },
{ rintros ⟨y', rfl⟩,
refine ⟨y' * x, submodule.mem_span_singleton.mpr ⟨y', rfl⟩, _⟩,
rw [ring_hom.map_mul, algebra.smul_def] }
end
@[simp]
lemma canonical_equiv_span_singleton {P'} [comm_ring P'] [algebra R P'] [is_localization S P']
(x : P) :
canonical_equiv S P P' (span_singleton S x) =
span_singleton S (is_localization.map P' (ring_hom.id R)
(λ y (hy : y ∈ S), show ring_hom.id R y ∈ S, from hy) x) :=
begin
apply set_like.ext_iff.mpr,
intro y,
split; intro h,
{ rw mem_span_singleton,
obtain ⟨x', hx', rfl⟩ := (mem_canonical_equiv_apply _ _ _).mp h,
obtain ⟨z, rfl⟩ := (mem_span_singleton _).mp hx',
use z,
rw is_localization.map_smul,
refl },
{ rw mem_canonical_equiv_apply,
obtain ⟨z, rfl⟩ := (mem_span_singleton _).mp h,
use z • x,
use (mem_span_singleton _).mpr ⟨z, rfl⟩,
simp [is_localization.map_smul] }
end
lemma mem_singleton_mul {x y : P} {I : fractional_ideal S P} :
y ∈ span_singleton S x * I ↔ ∃ y' ∈ I, y = x * y' :=
begin
split,
{ intro h,
apply fractional_ideal.mul_induction_on h,
{ intros x' hx' y' hy',
obtain ⟨a, ha⟩ := (mem_span_singleton S).mp hx',
use [a • y', submodule.smul_mem I a hy'],
rw [←ha, algebra.mul_smul_comm, algebra.smul_mul_assoc] },
{ rintros _ _ ⟨y, hy, rfl⟩ ⟨y', hy', rfl⟩,
exact ⟨y + y', submodule.add_mem I hy hy', (mul_add _ _ _).symm⟩ } },
{ rintros ⟨y', hy', rfl⟩,
exact mul_mem_mul ((mem_span_singleton S).mpr ⟨1, one_smul _ _⟩) hy' }
end
omit loc
variables (K)
lemma mk'_mul_coe_ideal_eq_coe_ideal {I J : ideal R₁} {x y : R₁} (hy : y ∈ R₁⁰) :
span_singleton R₁⁰ (is_localization.mk' K x ⟨y, hy⟩) * I = (J : fractional_ideal R₁⁰ K) ↔
ideal.span {x} * I = ideal.span {y} * J :=
begin
have : span_singleton R₁⁰ (is_localization.mk' _ (1 : R₁) ⟨y, hy⟩) *
span_singleton R₁⁰ (algebra_map R₁ K y) = 1,
{ rw [span_singleton_mul_span_singleton, mul_comm, ← is_localization.mk'_eq_mul_mk'_one,
is_localization.mk'_self, span_singleton_one] },
let y' : (fractional_ideal R₁⁰ K)ˣ := units.mk_of_mul_eq_one _ _ this,
have coe_y' : ↑y' = span_singleton R₁⁰ (is_localization.mk' K (1 : R₁) ⟨y, hy⟩) := rfl,
refine iff.trans _ (y'.mul_right_inj.trans coe_ideal_inj),
rw [coe_y', coe_ideal_mul, coe_ideal_span_singleton, coe_ideal_mul, coe_ideal_span_singleton,
←mul_assoc, span_singleton_mul_span_singleton, ←mul_assoc, span_singleton_mul_span_singleton,
mul_comm (mk' _ _ _), ← is_localization.mk'_eq_mul_mk'_one,
mul_comm (mk' _ _ _), ← is_localization.mk'_eq_mul_mk'_one,
is_localization.mk'_self, span_singleton_one, one_mul],
end
variables {K}
lemma span_singleton_mul_coe_ideal_eq_coe_ideal {I J : ideal R₁} {z : K} :
span_singleton R₁⁰ z * (I : fractional_ideal R₁⁰ K) = J ↔
ideal.span {((is_localization.sec R₁⁰ z).1 : R₁)} * I =
ideal.span {(is_localization.sec R₁⁰ z).2} * J :=
-- `erw` to deal with the distinction between `y` and `⟨y.1, y.2⟩`
by erw [← mk'_mul_coe_ideal_eq_coe_ideal K (is_localization.sec R₁⁰ z).2.prop,
is_localization.mk'_sec K z]
variables [is_domain R₁]
lemma one_div_span_singleton (x : K) :
1 / span_singleton R₁⁰ x = span_singleton R₁⁰ (x⁻¹) :=
if h : x = 0 then by simp [h] else (eq_one_div_of_mul_eq_one_right _ _ (by simp [h])).symm
@[simp] lemma div_span_singleton (J : fractional_ideal R₁⁰ K) (d : K) :
J / span_singleton R₁⁰ d = span_singleton R₁⁰ (d⁻¹) * J :=
begin
rw ← one_div_span_singleton,
by_cases hd : d = 0,
{ simp only [hd, span_singleton_zero, div_zero, zero_mul] },
have h_spand : span_singleton R₁⁰ d ≠ 0 := mt span_singleton_eq_zero_iff.mp hd,
apply le_antisymm,
{ intros x hx,
rw [← mem_coe, coe_div h_spand, submodule.mem_div_iff_forall_mul_mem] at hx,
specialize hx d (mem_span_singleton_self R₁⁰ d),
have h_xd : x = d⁻¹ * (x * d), { field_simp },
rw [← mem_coe, coe_mul, one_div_span_singleton, h_xd],
exact submodule.mul_mem_mul (mem_span_singleton_self R₁⁰ _) hx },
{ rw [le_div_iff_mul_le h_spand, mul_assoc, mul_left_comm, one_div_span_singleton,
span_singleton_mul_span_singleton, inv_mul_cancel hd, span_singleton_one, mul_one],
exact le_refl J },
end
lemma exists_eq_span_singleton_mul (I : fractional_ideal R₁⁰ K) :
∃ (a : R₁) (aI : ideal R₁), a ≠ 0 ∧ I = span_singleton R₁⁰ (algebra_map R₁ K a)⁻¹ * aI :=
begin
obtain ⟨a_inv, nonzero, ha⟩ := I.is_fractional,
have nonzero := mem_non_zero_divisors_iff_ne_zero.mp nonzero,
have map_a_nonzero : algebra_map R₁ K a_inv ≠ 0 :=
mt is_fraction_ring.to_map_eq_zero_iff.mp nonzero,
refine ⟨a_inv,
submodule.comap (algebra.linear_map R₁ K)
↑(span_singleton R₁⁰ (algebra_map R₁ K a_inv) * I),
nonzero,
ext (λ x, iff.trans ⟨_, _⟩ mem_singleton_mul.symm)⟩,
{ intro hx,
obtain ⟨x', hx'⟩ := ha x hx,
rw algebra.smul_def at hx',
refine ⟨algebra_map R₁ K x', (mem_coe_ideal _).mpr ⟨x', mem_singleton_mul.mpr _, rfl⟩, _⟩,
{ exact ⟨x, hx, hx'⟩ },
{ rw [hx', ← mul_assoc, inv_mul_cancel map_a_nonzero, one_mul] } },
{ rintros ⟨y, hy, rfl⟩,
obtain ⟨x', hx', rfl⟩ := (mem_coe_ideal _).mp hy,
obtain ⟨y', hy', hx'⟩ := mem_singleton_mul.mp hx',
rw algebra.linear_map_apply at hx',
rwa [hx', ←mul_assoc, inv_mul_cancel map_a_nonzero, one_mul] }
end
instance is_principal {R} [comm_ring R] [is_domain R] [is_principal_ideal_ring R]
[algebra R K] [is_fraction_ring R K]
(I : fractional_ideal R⁰ K) : (I : submodule R K).is_principal :=
begin
obtain ⟨a, aI, -, ha⟩ := exists_eq_span_singleton_mul I,
use (algebra_map R K a)⁻¹ * algebra_map R K (generator aI),
suffices : I = span_singleton R⁰ ((algebra_map R K a)⁻¹ * algebra_map R K (generator aI)),
{ exact congr_arg subtype.val this },
conv_lhs { rw [ha, ←span_singleton_generator aI] },
rw [ideal.submodule_span_eq, coe_ideal_span_singleton (generator aI),
span_singleton_mul_span_singleton]
end
include loc
lemma le_span_singleton_mul_iff {x : P} {I J : fractional_ideal S P} :
I ≤ span_singleton S x * J ↔ ∀ zI ∈ I, ∃ zJ ∈ J, x * zJ = zI :=
show (∀ {zI} (hzI : zI ∈ I), zI ∈ span_singleton _ x * J) ↔ ∀ zI ∈ I, ∃ zJ ∈ J, x * zJ = zI,
by simp only [mem_singleton_mul, eq_comm]
lemma span_singleton_mul_le_iff {x : P} {I J : fractional_ideal S P} :
span_singleton _ x * I ≤ J ↔ ∀ z ∈ I, x * z ∈ J :=
begin
simp only [mul_le, mem_singleton_mul, mem_span_singleton],
split,
{ intros h zI hzI,
exact h x ⟨1, one_smul _ _⟩ zI hzI },
{ rintros h _ ⟨z, rfl⟩ zI hzI,
rw [algebra.smul_mul_assoc],
exact submodule.smul_mem J.1 _ (h zI hzI) },
end
lemma eq_span_singleton_mul {x : P} {I J : fractional_ideal S P} :
I = span_singleton _ x * J ↔ (∀ zI ∈ I, ∃ zJ ∈ J, x * zJ = zI) ∧ ∀ z ∈ J, x * z ∈ I :=
by simp only [le_antisymm_iff, le_span_singleton_mul_iff, span_singleton_mul_le_iff]
end principal_ideal_ring
variables {R₁ : Type*} [comm_ring R₁]
variables {K : Type*} [field K] [algebra R₁ K] [frac : is_fraction_ring R₁ K]
local attribute [instance] classical.prop_decidable
lemma is_noetherian_zero : is_noetherian R₁ (0 : fractional_ideal R₁⁰ K) :=
is_noetherian_submodule.mpr (λ I (hI : I ≤ (0 : fractional_ideal R₁⁰ K)),
by { rw coe_zero at hI, rw le_bot_iff.mp hI, exact fg_bot })
lemma is_noetherian_iff {I : fractional_ideal R₁⁰ K} :
is_noetherian R₁ I ↔ ∀ J ≤ I, (J : submodule R₁ K).fg :=
is_noetherian_submodule.trans ⟨λ h J hJ, h _ hJ, λ h J hJ, h ⟨J, is_fractional_of_le hJ⟩ hJ⟩
lemma is_noetherian_coe_ideal [_root_.is_noetherian_ring R₁] (I : ideal R₁) :
is_noetherian R₁ (I : fractional_ideal R₁⁰ K) :=
begin
rw is_noetherian_iff,
intros J hJ,
obtain ⟨J, rfl⟩ := le_one_iff_exists_coe_ideal.mp (le_trans hJ coe_ideal_le_one),
exact (is_noetherian.noetherian J).map _,
end
include frac
variables [is_domain R₁]
lemma is_noetherian_span_singleton_inv_to_map_mul (x : R₁) {I : fractional_ideal R₁⁰ K}
(hI : is_noetherian R₁ I) :
is_noetherian R₁ (span_singleton R₁⁰ (algebra_map R₁ K x)⁻¹ * I : fractional_ideal R₁⁰ K) :=
begin
by_cases hx : x = 0,
{ rw [hx, ring_hom.map_zero, _root_.inv_zero, span_singleton_zero, zero_mul],
exact is_noetherian_zero },
have h_gx : algebra_map R₁ K x ≠ 0,
from mt ((injective_iff_map_eq_zero (algebra_map R₁ K)).mp
(is_fraction_ring.injective _ _) x) hx,
have h_spanx : span_singleton R₁⁰ (algebra_map R₁ K x) ≠ 0,
from span_singleton_ne_zero_iff.mpr h_gx,
rw is_noetherian_iff at ⊢ hI,
intros J hJ,
rw [← div_span_singleton, le_div_iff_mul_le h_spanx] at hJ,
obtain ⟨s, hs⟩ := hI _ hJ,
use s * {(algebra_map R₁ K x)⁻¹},
rw [finset.coe_mul, finset.coe_singleton, ← span_mul_span, hs, ← coe_span_singleton R₁⁰,
← coe_mul, mul_assoc, span_singleton_mul_span_singleton, mul_inv_cancel h_gx,
span_singleton_one, mul_one],
end
/-- Every fractional ideal of a noetherian integral domain is noetherian. -/
theorem is_noetherian [_root_.is_noetherian_ring R₁] (I : fractional_ideal R₁⁰ K) :
is_noetherian R₁ I :=
begin
obtain ⟨d, J, h_nzd, rfl⟩ := exists_eq_span_singleton_mul I,
apply is_noetherian_span_singleton_inv_to_map_mul,
apply is_noetherian_coe_ideal
end
section adjoin
include loc
omit frac
variables {R P} (S) (x : P) (hx : is_integral R x)
/-- `A[x]` is a fractional ideal for every integral `x`. -/
lemma is_fractional_adjoin_integral :
is_fractional S (algebra.adjoin R ({x} : set P)).to_submodule :=
is_fractional_of_fg (fg_adjoin_singleton_of_integral x hx)
/-- `fractional_ideal.adjoin_integral (S : submonoid R) x hx` is `R[x]` as a fractional ideal,
where `hx` is a proof that `x : P` is integral over `R`. -/
@[simps]
def adjoin_integral : fractional_ideal S P :=
⟨_, is_fractional_adjoin_integral S x hx⟩
lemma mem_adjoin_integral_self :
x ∈ adjoin_integral S x hx :=
algebra.subset_adjoin (set.mem_singleton x)
end adjoin
end fractional_ideal
|
16e6ab9def55f62ce3a687f2786b751562b7c550 | 55c7fc2bf55d496ace18cd6f3376e12bb14c8cc5 | /src/algebraic_geometry/presheafed_space.lean | cd2ce22a550f48ed28f87eb46cd768024e684878 | [
"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 | 6,782 | lean | /-
Copyright (c) 2019 Scott Morrison. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Scott Morrison
-/
import topology.sheaves.presheaf
/-!
# Presheafed spaces
Introduces the category of topological spaces equipped with a presheaf (taking values in an
arbitrary target category `C`.)
We further describe how to apply functors and natural transformations to the values of the
presheaves.
-/
universes v u
open category_theory
open Top
open topological_space
open opposite
open category_theory.category category_theory.functor
variables (C : Type u) [𝒞 : category.{v} C]
include 𝒞
local attribute [tidy] tactic.op_induction'
namespace algebraic_geometry
/-- A `PresheafedSpace C` is a topological space equipped with a presheaf of `C`s. -/
structure PresheafedSpace :=
(to_Top : Top)
(𝒪 : to_Top.presheaf C)
variables {C}
namespace PresheafedSpace
instance coe_to_Top : has_coe (PresheafedSpace C) Top :=
{ coe := λ X, X.to_Top }
@[simp] lemma as_coe (X : PresheafedSpace C) : X.to_Top = (X : Top.{v}) := rfl
@[simp] lemma mk_coe (to_Top) (𝒪) : (({ to_Top := to_Top, 𝒪 := 𝒪 } :
PresheafedSpace.{v} C) : Top.{v}) = to_Top := rfl
instance (X : PresheafedSpace.{v} C) : topological_space X := X.to_Top.str
/-- A morphism between presheafed spaces `X` and `Y` consists of a continuous map
`f` between the underlying topological spaces, and a (notice contravariant!) map
from the presheaf on `Y` to the pushforward of the presheaf on `X` via `f`. -/
structure hom (X Y : PresheafedSpace C) :=
(base : (X : Top.{v}) ⟶ (Y : Top.{v}))
(c : Y.𝒪 ⟶ base _* X.𝒪)
@[ext] lemma ext {X Y : PresheafedSpace C} (α β : hom X Y)
(w : α.base = β.base) (h : α.c ≫ (whisker_right (nat_trans.op (opens.map_iso _ _ w).inv) X.𝒪) = β.c) :
α = β :=
begin
cases α, cases β,
dsimp [presheaf.pushforward] at *,
tidy, -- TODO including `injections` would make tidy work earlier.
end
.
def id (X : PresheafedSpace C) : hom X X :=
{ base := 𝟙 (X : Top.{v}),
c := ((functor.left_unitor _).inv) ≫ (whisker_right (nat_trans.op (opens.map_id (X.to_Top)).hom) _) }
def comp (X Y Z : PresheafedSpace C) (α : hom X Y) (β : hom Y Z) : hom X Z :=
{ base := α.base ≫ β.base,
c := β.c ≫ (whisker_left (opens.map β.base).op α.c) ≫ (Top.presheaf.pushforward.comp _ _ _).inv }
variables (C)
section
local attribute [simp] id comp presheaf.pushforward
/- The proofs below can be done by `tidy`, but it is too slow,
and we don't have a tactic caching mechanism. -/
/-- The category of PresheafedSpaces. Morphisms are pairs, a continuous map and a presheaf map
from the presheaf on the target to the pushforward of the presheaf on the source. -/
instance category_of_PresheafedSpaces : category (PresheafedSpace C) :=
{ hom := hom,
id := id,
comp := comp,
id_comp' := λ X Y f,
begin
ext1, swap,
{ dsimp, simp only [id_comp] },
{ ext U, op_induction, cases U,
dsimp,
simp only [comp_id, id_comp, map_id, presheaf.pushforward, presheaf.pushforward.comp_inv_app],
dsimp,
simp only [comp_id], },
end,
comp_id' := λ X Y f,
begin
ext1, swap,
{ dsimp, simp only [comp_id] },
{ ext U, op_induction, cases U,
dsimp,
simp only [comp_id, id_comp, map_id, presheaf.pushforward, presheaf.pushforward.comp_inv_app],
dsimp,
simp only [comp_id], }
end,
assoc' := λ W X Y Z f g h,
begin
ext1, swap,
refl,
{ ext U, op_induction, cases U,
dsimp,
simp only [assoc, map_id, comp_id, presheaf.pushforward, presheaf.pushforward.comp_inv_app],
dsimp,
simp only [comp_id, id_comp], }
end }
end
variables {C}
@[simp] lemma id_base (X : PresheafedSpace C) :
((𝟙 X) : X ⟶ X).base = (𝟙 (X : Top.{v})) := rfl
lemma id_c (X : PresheafedSpace C) :
((𝟙 X) : X ⟶ X).c =
(((functor.left_unitor _).inv) ≫ (whisker_right (nat_trans.op (opens.map_id (X.to_Top)).hom) _)) := rfl
@[simp] lemma id_c_app (X : PresheafedSpace C) (U) :
((𝟙 X) : X ⟶ X).c.app U = eq_to_hom (by { op_induction U, cases U, refl }) :=
by { op_induction U, cases U, simp only [id_c], dsimp, simp, }
@[simp] lemma comp_base {X Y Z : PresheafedSpace C} (f : X ⟶ Y) (g : Y ⟶ Z) :
(f ≫ g).base = f.base ≫ g.base := rfl
-- Implementation note: this harmless looking lemma causes deterministic timeouts,
-- but happily we can survive without it.
-- lemma comp_c {X Y Z : PresheafedSpace.{v} C} (α : X ⟶ Y) (β : Y ⟶ Z) :
-- (α ≫ β).c = (β.c ≫ (whisker_left (opens.map β.f).op α.c)) := rfl
@[simp] lemma comp_c_app {X Y Z : PresheafedSpace C} (α : X ⟶ Y) (β : Y ⟶ Z) (U) :
(α ≫ β).c.app U = (β.c).app U ≫ (α.c).app (op ((opens.map (β.base)).obj (unop U))) ≫
(Top.presheaf.pushforward.comp _ _ _).inv.app U := rfl
/-- The forgetful functor from `PresheafedSpace` to `Top`. -/
def forget : PresheafedSpace C ⥤ Top :=
{ obj := λ X, (X : Top.{v}),
map := λ X Y f, f.base }
end PresheafedSpace
end algebraic_geometry
open algebraic_geometry algebraic_geometry.PresheafedSpace
variables {C}
namespace category_theory
variables {D : Type u} [category.{v} D]
local attribute [simp] presheaf.pushforward
namespace functor
/-- We can apply a functor `F : C ⥤ D` to the values of the presheaf in any `PresheafedSpace C`,
giving a functor `PresheafedSpace C ⥤ PresheafedSpace D` -/
def map_presheaf (F : C ⥤ D) : PresheafedSpace C ⥤ PresheafedSpace D :=
{ obj := λ X, { to_Top := X.to_Top, 𝒪 := X.𝒪 ⋙ F },
map := λ X Y f, { base := f.base, c := whisker_right f.c F }, }
@[simp] lemma map_presheaf_obj_X (F : C ⥤ D) (X : PresheafedSpace C) :
((F.map_presheaf.obj X) : Top.{v}) = (X : Top.{v}) := rfl
@[simp] lemma map_presheaf_obj_𝒪 (F : C ⥤ D) (X : PresheafedSpace C) :
(F.map_presheaf.obj X).𝒪 = X.𝒪 ⋙ F := rfl
@[simp] lemma map_presheaf_map_f (F : C ⥤ D) {X Y : PresheafedSpace C} (f : X ⟶ Y) :
(F.map_presheaf.map f).base = f.base := rfl
@[simp] lemma map_presheaf_map_c (F : C ⥤ D) {X Y : PresheafedSpace C} (f : X ⟶ Y) :
(F.map_presheaf.map f).c = whisker_right f.c F := rfl
end functor
namespace nat_trans
/- The proofs below can be done by `tidy`, but it is too slow,
and we don't have a tactic caching mechanism. -/
def on_presheaf {F G : C ⥤ D} (α : F ⟶ G) : G.map_presheaf ⟶ F.map_presheaf :=
{ app := λ X,
{ base := 𝟙 _,
c := whisker_left X.𝒪 α ≫ ((functor.left_unitor _).inv) ≫
(whisker_right (nat_trans.op (opens.map_id X.to_Top).hom) _) }, }
-- TODO Assemble the last two constructions into a functor
-- `(C ⥤ D) ⥤ (PresheafedSpace C ⥤ PresheafedSpace D)`
end nat_trans
end category_theory
|
94e7aadf821651d7af2cb7fe66080df8815c6367 | 8cae430f0a71442d02dbb1cbb14073b31048e4b0 | /test/packaged_goal.lean | 2cb9f785c5072fbb37ee3fb37e526f45ec15ac00 | [
"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 | 847 | lean | /-
Copyright (c) 2020 Simon Hudon. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Author(s): Simon Hudon
-/
import tactic.core
open tactic
/--
Demonstrate the packaged goals and how comparison of dependent goals
works.
-/
example (m n : ℕ) (h : m = n) : m = n :=
by do
{ let tac := `[cases m; apply subtype.mk.inj],
gs₀ ← retrieve $ tac >> get_goals,
gs₁ ← retrieve $ tac >> get_goals,
guard (gs₀ ≠ gs₁ : bool),
gs₀ ← get_proof_state_after tac,
gs₁ ← get_proof_state_after tac,
guard (gs₀ = gs₁),
gs₀ ← get_proof_state_after $ tac >> swap,
gs₁ ← get_proof_state_after tac,
guard (gs₀ ≠ gs₁),
gs₀ ← get_proof_state_after $ tac >> swap,
gs₁ ← get_proof_state_after $ tac >> swap,
guard (gs₀ = gs₁),
interactive.exact ```(h) }
|
79286fd98ae59fe343cb7baa8d61cee70101052c | aa3f8992ef7806974bc1ffd468baa0c79f4d6643 | /library/data/sum.lean | cb42dfa785f1958a53b3566e9f7d22d240ed5266 | [
"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 | 2,689 | lean | -- Copyright (c) 2014 Microsoft Corporation. All rights reserved.
-- Released under Apache 2.0 license as described in the file LICENSE.
-- Author: Leonardo de Moura, Jeremy Avigad
import logic.prop logic.inhabited logic.decidable
open inhabited decidable eq.ops
-- data.sum
-- ========
-- The sum type, aka disjoint union.
inductive sum (A B : Type) : Type :=
inl : A → sum A B,
inr : B → sum A B
namespace sum
notation A ⊎ B := sum A B
namespace extra_notation
reserve infixr `+`:25 -- conflicts with notation for addition
infixr `+` := sum
end extra_notation
variables {A B : Type}
variables {a a₁ a₂ : A} {b b₁ b₂ : B}
theorem inl_neq_inr : inl B a ≠ inr A b :=
assume H, no_confusion H
theorem inl_inj : inl B a₁ = inl B a₂ → a₁ = a₂ :=
assume H, no_confusion H (λe, e)
theorem inr_inj : inr A b₁ = inr A b₂ → b₁ = b₂ :=
assume H, no_confusion H (λe, e)
protected definition is_inhabited_left [instance] : inhabited A → inhabited (A ⊎ B) :=
assume H : inhabited A, inhabited.mk (inl B (default A))
protected definition is_inhabited_right [instance] : inhabited B → inhabited (A ⊎ B) :=
assume H : inhabited B, inhabited.mk (inr A (default B))
protected definition has_eq_decidable [instance] : decidable_eq A → decidable_eq B → decidable_eq (A ⊎ B) :=
assume (H₁ : decidable_eq A) (H₂ : decidable_eq B),
take s₁ s₂ : A ⊎ B,
rec_on s₁
(take a₁, show decidable (inl B a₁ = s₂), from
rec_on s₂
(take a₂, show decidable (inl B a₁ = inl B a₂), from
decidable.rec_on (H₁ a₁ a₂)
(assume Heq : a₁ = a₂, decidable.inl (Heq ▸ rfl))
(assume Hne : a₁ ≠ a₂, decidable.inr (mt inl_inj Hne)))
(take b₂,
have H₃ : (inl B a₁ = inr A b₂) ↔ false,
from iff.intro inl_neq_inr (assume H₄, false_elim H₄),
show decidable (inl B a₁ = inr A b₂), from decidable_iff_equiv _ (iff.symm H₃)))
(take b₁, show decidable (inr A b₁ = s₂), from
rec_on s₂
(take a₂,
have H₃ : (inr A b₁ = inl B a₂) ↔ false,
from iff.intro (assume H₄, inl_neq_inr (H₄⁻¹)) (assume H₄, false_elim H₄),
show decidable (inr A b₁ = inl B a₂), from decidable_iff_equiv _ (iff.symm H₃))
(take b₂, show decidable (inr A b₁ = inr A b₂), from
decidable.rec_on (H₂ b₁ b₂)
(assume Heq : b₁ = b₂, decidable.inl (Heq ▸ rfl))
(assume Hne : b₁ ≠ b₂, decidable.inr (mt inr_inj Hne))))
end sum
|
ef0c46021e75718601a6a811abb7ee4c754b1ceb | 8cae430f0a71442d02dbb1cbb14073b31048e4b0 | /src/category_theory/adjunction/evaluation.lean | 097ee2700263baf07bb2bd6dff4da0837935c384 | [
"Apache-2.0"
] | permissive | leanprover-community/mathlib | 56a2cadd17ac88caf4ece0a775932fa26327ba0e | 442a83d738cb208d3600056c489be16900ba701d | refs/heads/master | 1,693,584,102,358 | 1,693,471,902,000 | 1,693,471,902,000 | 97,922,418 | 1,595 | 352 | Apache-2.0 | 1,694,693,445,000 | 1,500,624,130,000 | Lean | UTF-8 | Lean | false | false | 4,959 | lean | /-
Copyright (c) 2021 Adam Topaz. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Adam Topaz
-/
import category_theory.limits.shapes.products
import category_theory.functor.epi_mono
/-!
# Adjunctions involving evaluation
> THIS FILE IS SYNCHRONIZED WITH MATHLIB4.
> Any changes to this file require a corresponding PR to mathlib4.
We show that evaluation of functors have adjoints, given the existence of (co)products.
-/
namespace category_theory
open category_theory.limits
universes v₁ v₂ u₁ u₂
variables {C : Type u₁} [category.{v₁} C] (D : Type u₂) [category.{v₂} D]
noncomputable theory
section
variables [∀ (a b : C), has_coproducts_of_shape (a ⟶ b) D]
/-- The left adjoint of evaluation. -/
@[simps]
def evaluation_left_adjoint (c : C) : D ⥤ C ⥤ D :=
{ obj := λ d,
{ obj := λ t, ∐ (λ i : c ⟶ t, d),
map := λ u v f, sigma.desc $ λ g, sigma.ι (λ _, d) $ g ≫ f,
map_id' := begin
intros, ext ⟨j⟩, simp only [cofan.mk_ι_app, colimit.ι_desc, category.comp_id],
congr' 1, rw category.comp_id,
end,
map_comp' := begin
intros, ext, simp only [cofan.mk_ι_app, colimit.ι_desc_assoc, colimit.ι_desc],
congr' 1, rw category.assoc,
end },
map := λ d₁ d₂ f,
{ app := λ e, sigma.desc $ λ h, f ≫ sigma.ι (λ _, d₂) h,
naturality' := by { intros, ext, dsimp, simp } },
map_id' := by { intros, ext x ⟨j⟩, dsimp, simp },
map_comp' := by { intros, ext, dsimp, simp } }
/-- The adjunction showing that evaluation is a right adjoint. -/
@[simps unit_app counit_app_app]
def evaluation_adjunction_right (c : C) :
evaluation_left_adjoint D c ⊣ (evaluation _ _).obj c :=
adjunction.mk_of_hom_equiv
{ hom_equiv := λ d F,
{ to_fun := λ f, sigma.ι (λ _, d) (𝟙 _) ≫ f.app c,
inv_fun := λ f,
{ app := λ e, sigma.desc $ λ h, f ≫ F.map h,
naturality' := by { intros, ext, dsimp, simp } },
left_inv := begin
intros f,
ext x ⟨g⟩,
dsimp,
simp only [colimit.ι_desc, limits.cofan.mk_ι_app, category.assoc, ← f.naturality,
evaluation_left_adjoint_obj_map, colimit.ι_desc_assoc, cofan.mk_ι_app],
congr' 2,
rw category.id_comp
end,
right_inv := λ f, by { dsimp, simp } },
hom_equiv_naturality_left_symm' := by { intros, ext, dsimp, simp },
hom_equiv_naturality_right' := by { intros, dsimp, simp } }
instance evaluation_is_right_adjoint (c : C) :
is_right_adjoint ((evaluation _ D).obj c) :=
⟨_, evaluation_adjunction_right _ _⟩
lemma nat_trans.mono_iff_mono_app {F G : C ⥤ D} (η : F ⟶ G) :
mono η ↔ (∀ c, mono (η.app c)) :=
begin
split,
{ introsI h c,
exact (infer_instance : mono (((evaluation _ _).obj c).map η)) },
{ introsI _,
apply nat_trans.mono_of_mono_app }
end
end
section
variables [∀ (a b : C), has_products_of_shape (a ⟶ b) D]
/-- The right adjoint of evaluation. -/
@[simps]
def evaluation_right_adjoint (c : C) : D ⥤ C ⥤ D :=
{ obj := λ d,
{ obj := λ t, ∏ (λ i : t ⟶ c, d),
map := λ u v f, pi.lift $ λ g, pi.π _ $ f ≫ g,
map_id' := begin
intros, ext ⟨j⟩, dsimp,
simp only [limit.lift_π, category.id_comp, fan.mk_π_app],
congr, simp,
end,
map_comp' := begin
intros, ext ⟨j⟩, dsimp,
simp only [limit.lift_π, fan.mk_π_app, category.assoc],
congr' 1, simp,
end },
map := λ d₁ d₂ f,
{ app := λ t, pi.lift $ λ g, pi.π _ g ≫ f,
naturality' := by { intros, ext, dsimp, simp } },
map_id' := by { intros, ext x ⟨j⟩, dsimp, simp },
map_comp' := by { intros, ext, dsimp, simp } }
/-- The adjunction showing that evaluation is a left adjoint. -/
@[simps unit_app_app counit_app]
def evaluation_adjunction_left (c : C) :
(evaluation _ _).obj c ⊣ evaluation_right_adjoint D c :=
adjunction.mk_of_hom_equiv
{ hom_equiv := λ F d,
{ to_fun := λ f,
{ app := λ t, pi.lift $ λ g, F.map g ≫ f,
naturality' := by { intros, ext, dsimp, simp } },
inv_fun := λ f, f.app _ ≫ pi.π _ (𝟙 _),
left_inv := λ f, by { dsimp, simp },
right_inv := begin
intros f,
ext x ⟨g⟩,
dsimp,
simp only [limit.lift_π, evaluation_right_adjoint_obj_map,
nat_trans.naturality_assoc, fan.mk_π_app],
congr,
rw category.comp_id
end },
hom_equiv_naturality_left_symm' := by { intros, dsimp, simp },
hom_equiv_naturality_right' := by { intros, ext, dsimp, simp } }
instance evaluation_is_left_adjoint (c : C) :
is_left_adjoint ((evaluation _ D).obj c) :=
⟨_, evaluation_adjunction_left _ _⟩
lemma nat_trans.epi_iff_epi_app {F G : C ⥤ D} (η : F ⟶ G) :
epi η ↔ (∀ c, epi (η.app c)) :=
begin
split,
{ introsI h c,
exact (infer_instance : epi (((evaluation _ _).obj c).map η)) },
{ introsI,
apply nat_trans.epi_of_epi_app }
end
end
end category_theory
|
e8d2993b2419c45d58cacba376c5ab62a7563859 | 05f637fa14ac28031cb1ea92086a0f4eb23ff2b1 | /tests/lean/simp34.lean | cf2e9d258ade06a2211d1fe94f17e7aed09cb0b3 | [
"Apache-2.0"
] | permissive | codyroux/lean0.1 | 1ce92751d664aacff0529e139083304a7bbc8a71 | 0dc6fb974aa85ed6f305a2f4b10a53a44ee5f0ef | refs/heads/master | 1,610,830,535,062 | 1,402,150,480,000 | 1,402,150,480,000 | 19,588,851 | 2 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 72 | lean | import tactic
theorem T : false → false
:= by simp
print environment |
6a9240d6a6a1128230d199bd3c98f4017fe60e83 | 7850aae797be6c31052ce4633d86f5991178d3df | /stage0/src/Lean/Elab/PreDefinition/Structural.lean | a27be7d38cd99df843ee617babc72ec87a005fcb | [
"Apache-2.0"
] | permissive | miriamgoetze/lean4 | 4dc24d4dbd360cc969713647c2958c6691947d16 | 062cc5d5672250be456a168e9c7b9299a9c69bdb | refs/heads/master | 1,685,865,971,011 | 1,624,107,703,000 | 1,624,107,703,000 | null | 0 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 29,502 | lean | /-
Copyright (c) 2020 Microsoft Corporation. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Leonardo de Moura
-/
import Lean.Util.ForEachExpr
import Lean.Meta.ForEachExpr
import Lean.Meta.RecursorInfo
import Lean.Meta.Match.Match
import Lean.Meta.Transform
import Lean.Meta.IndPredBelow
import Lean.Elab.PreDefinition.Basic
namespace Lean.Elab
namespace Structural
open Meta
private def getFixedPrefix (declName : Name) (xs : Array Expr) (value : Expr) : MetaM Nat := do
let numFixedRef ← IO.mkRef xs.size
forEachExpr' value fun e => do
if e.isAppOf declName then
let args := e.getAppArgs
numFixedRef.modify fun numFixed => if args.size < numFixed then args.size else numFixed
for arg in args, x in xs do
/- We should not use structural equality here. For example, given the definition
```
def V.map {α β} f x x_1 :=
@V.map.match_1.{1} α (fun x x_2 => V β x) x x_1
(fun x x_2 => @V.mk₁ β x (f Bool.true x_2))
(fun e => @V.mk₂ β (V.map (fun b => α b) (fun b => β b) f Bool.false e))
```
The first three arguments at `V.map (fun b => α b) (fun b => β b) f Bool.false e` are "fixed"
modulo definitional equality.
We disable to proof irrelevance to be able to use structural recursion on inductive predicates.
For example, consider the example
```
inductive PList (α : Type) : Prop
| nil
| cons : α → PList α → PList α
infixr:67 " ::: " => PList.cons
set_option trace.Elab.definition.structural true in
def pmap {α β} (f : α → β) : PList α → PList β
| PList.nil => PList.nil
| a:::as => f a ::: pmap f as
```
The "Fixed" prefix would be 4 since all elements of type `PList α` are definitionally equal.
-/
if !(← withoutProofIrrelevance <| withReducible <| isDefEq arg x) then
-- We continue searching if e's arguments are not a prefix of `xs`
return true
return false
else
return true
numFixedRef.get
structure RecArgInfo where
/- `fixedParams ++ ys` are the arguments of the function we are trying to justify termination using structural recursion. -/
fixedParams : Array Expr
ys : Array Expr -- recursion arguments
pos : Nat -- position in `ys` of the argument we are recursing on
indicesPos : Array Nat -- position in `ys` of the inductive datatype indices we are recursing on
indName : Name -- inductive datatype name of the argument we are recursing on
indLevels : List Level -- inductice datatype universe levels of the argument we are recursing on
indParams : Array Expr -- inductive datatype parameters of the argument we are recursing on
indIndices : Array Expr -- inductive datatype indices of the argument we are recursing on, it is equal to `indicesPos.map fun i => ys.get! i`
reflexive : Bool -- true if we are recursing over a reflexive inductive datatype
indPred : Bool -- true if the type is an inductive predicate
private def getIndexMinPos (xs : Array Expr) (indices : Array Expr) : Nat := do
let mut minPos := xs.size
for index in indices do
match xs.indexOf? index with
| some pos => if pos.val < minPos then minPos := pos.val
| _ => pure ()
return minPos
-- Indices can only depend on other indices
private def hasBadIndexDep? (ys : Array Expr) (indices : Array Expr) : MetaM (Option (Expr × Expr)) := do
for index in indices do
let indexType ← inferType index
for y in ys do
if !indices.contains y && (← dependsOn indexType y.fvarId!) then
return some (index, y)
return none
-- Inductive datatype parameters cannot depend on ys
private def hasBadParamDep? (ys : Array Expr) (indParams : Array Expr) : MetaM (Option (Expr × Expr)) := do
for p in indParams do
let pType ← inferType p
for y in ys do
if ← dependsOn pType y.fvarId! then
return some (p, y)
return none
private def throwStructuralFailed {α} : MetaM α :=
throwError "structural recursion cannot be used"
structure State where
/- When compiling structural recursion we use the `brecOn` recursor automatically built by
the `inductive` command. For an inductive datatype `C`, it has the form
`C.brecOn As motive is c F`
where `As` are the inductive datatype parameters, `is` are the inductive datatype indices,
`c : C As is`, and `F : (js) → (d : C As js) → C.below d → motive d`
The `C.below d` is used to eliminate recursive applications. We refine its type when we process
a nested dependent pattern matcher using `MatcherApp.addArg`. See `replaceRecApps` for additional details.
We store the names of the matcher where we used `MatcherApp.addArg` at `matcherBelowDep`.
We use this information to generate the auxiliary `_sunfold` definition needed by the smart unfolding
technique used at WHNF. -/
matcherBelowDep : NameSet := {}
/- As part of the inductive predicates case, we keep adding more and more discriminants from the
local context and build up a bigger matcher application until we reach a fixed point.
As a side-effect, this creates matchers. Here we capture all these side-effects, because
the construction rolls back any changes done to the environment and the side-effects
need to be replayed. -/
addMatchers : Array $ MetaM Unit := #[]
abbrev M := StateRefT State MetaM
instance {α} : Inhabited (M α) where
default := throwError "failed"
private def run {α} (x : M α) (s : State := {}) : MetaM (α × State) :=
StateRefT'.run x s
private def orelse' {α} (x y : M α) : M α := do
let saveState ← get
orelseMergeErrors x (do set saveState; y)
private partial def findRecArg {α} (numFixed : Nat) (xs : Array Expr) (k : RecArgInfo → M α) : M α :=
let rec loop (i : Nat) : M α := do
if h : i < xs.size then
let x := xs.get ⟨i, h⟩
let localDecl ← getFVarLocalDecl x
if localDecl.isLet then
throwStructuralFailed
else
let xType ← whnfD localDecl.type
matchConstInduct xType.getAppFn (fun _ => loop (i+1)) fun indInfo us => do
if !(← hasConst (mkBRecOnName indInfo.name)) then
loop (i+1)
else if indInfo.isReflexive && !(← hasConst (mkBInductionOnName indInfo.name)) then
loop (i+1)
else
let indArgs := xType.getAppArgs
let indParams := indArgs.extract 0 indInfo.numParams
let indIndices := indArgs.extract indInfo.numParams indArgs.size
if !indIndices.all Expr.isFVar then
orelse'
(throwError "argument #{i+1} was not used because its type is an inductive family and indices are not variables{indentExpr xType}")
(loop (i+1))
else if !indIndices.allDiff then
orelse'
(throwError "argument #{i+1} was not used because its type is an inductive family and indices are not pairwise distinct{indentExpr xType}")
(loop (i+1))
else
let indexMinPos := getIndexMinPos xs indIndices
let numFixed := if indexMinPos < numFixed then indexMinPos else numFixed
let fixedParams := xs.extract 0 numFixed
let ys := xs.extract numFixed xs.size
match ← hasBadIndexDep? ys indIndices with
| some (index, y) =>
orelse'
(throwError "argument #{i+1} was not used because its type is an inductive family{indentExpr xType}\nand index{indentExpr index}\ndepends on the non index{indentExpr y}")
(loop (i+1))
| none =>
match ← hasBadParamDep? ys indParams with
| some (indParam, y) =>
orelse'
(throwError "argument #{i+1} was not used because its type is an inductive datatype{indentExpr xType}\nand parameter{indentExpr indParam}\ndepends on{indentExpr y}")
(loop (i+1))
| none =>
let indicesPos := indIndices.map fun index => match ys.indexOf? index with | some i => i.val | none => unreachable!
orelse'
(mapError
(k { fixedParams := fixedParams
ys := ys
pos := i - fixedParams.size
indicesPos := indicesPos
indName := indInfo.name
indLevels := us
indParams := indParams
indIndices := indIndices
reflexive := indInfo.isReflexive
indPred := ←isInductivePredicate indInfo.name })
(fun msg => m!"argument #{i+1} was not used for structural recursion{indentD msg}"))
(loop (i+1))
else
throwStructuralFailed
loop numFixed
private def containsRecFn (recFnName : Name) (e : Expr) : Bool :=
(e.find? fun e => e.isConstOf recFnName).isSome
private def ensureNoRecFn (recFnName : Name) (e : Expr) : MetaM Expr := do
if containsRecFn recFnName e then
Meta.forEachExpr e fun e => do
if e.isAppOf recFnName then
throwError "unexpected occurrence of recursive application{indentExpr e}"
pure e
else
pure e
private def throwToBelowFailed {α} : MetaM α :=
throwError "toBelow failed"
/- See toBelow -/
private partial def toBelowAux (C : Expr) : Expr → Expr → Expr → MetaM Expr
| belowDict, arg, F => do
let belowDict ← whnf belowDict
trace[Elab.definition.structural] "belowDict: {belowDict}, arg: {arg}"
match belowDict with
| Expr.app (Expr.app (Expr.const `PProd _ _) d1 _) d2 _ =>
(do toBelowAux C d1 arg (← mkAppM `PProd.fst #[F]))
<|>
(do toBelowAux C d2 arg (← mkAppM `PProd.snd #[F]))
| Expr.app (Expr.app (Expr.const `And _ _) d1 _) d2 _ =>
(do toBelowAux C d1 arg (← mkAppM `And.left #[F]))
<|>
(do toBelowAux C d2 arg (← mkAppM `And.right #[F]))
| _ => forallTelescopeReducing belowDict fun xs belowDict => do
let argArgs := arg.getAppArgs
unless argArgs.size >= xs.size do throwToBelowFailed
let n := argArgs.size
let argTailArgs := argArgs.extract (n - xs.size) n
let belowDict := belowDict.replaceFVars xs argTailArgs
match belowDict with
| Expr.app belowDictFun belowDictArg _ =>
unless belowDictFun.getAppFn == C do throwToBelowFailed
unless ← isDefEq belowDictArg arg do throwToBelowFailed
pure (mkAppN F argTailArgs)
| _ => throwToBelowFailed
/- See toBelow -/
private def withBelowDict {α} (below : Expr) (numIndParams : Nat) (k : Expr → Expr → MetaM α) : MetaM α := do
let belowType ← inferType below
trace[Elab.definition.structural] "belowType: {belowType}"
belowType.withApp fun f args => do
let motivePos := numIndParams + 1
unless motivePos < args.size do throwError "unexpected 'below' type{indentExpr belowType}"
let pre := mkAppN f (args.extract 0 numIndParams)
let preType ← inferType pre
forallBoundedTelescope preType (some 1) fun x _ => do
let motiveType ← inferType x[0]
let C ← mkFreshUserName `C
withLocalDeclD C motiveType fun C =>
let belowDict := mkApp pre C
let belowDict := mkAppN belowDict (args.extract (numIndParams + 1) args.size)
k C belowDict
/-
`below` is a free variable with type of the form `I.below indParams motive indices major`,
where `I` is the name of an inductive datatype.
For example, when trying to show that the following function terminates using structural recursion
```lean
def addAdjacent : List Nat → List Nat
| [] => []
| [a] => [a]
| a::b::as => (a+b) :: addAdjacent as
```
when we are visiting `addAdjacent as` at `replaceRecApps`, `below` has type
`@List.below Nat (fun (x : List Nat) => List Nat) (a::b::as)`
The motive `fun (x : List Nat) => List Nat` depends on the actual function we are trying to compute.
So, we first replace it with a fresh variable `C` at `withBelowDict`.
Recall that `brecOn` implements course-of-values recursion, and `below` can be viewed as a dictionary
of the "previous values".
We search this dictionary using the auxiliary function `toBelowAux`.
The dictionary is built using the `PProd` (`And` for inductive predicates).
We keep searching it until we find `C recArg`, where `C` is the auxiliary fresh variable created at `withBelowDict`. -/
private partial def toBelow (below : Expr) (numIndParams : Nat) (recArg : Expr) : MetaM Expr := do
withBelowDict below numIndParams fun C belowDict =>
toBelowAux C belowDict recArg below
/--
Return true iff `e` contains an application `recFnName .. t ..` where the term `t` is
the argument we are trying to recurse on, and it contains loose bound variables.
We use this test to decide whether we should process a matcher-application as a regular
applicaton or not. That is, whether we should push the `below` argument should be affected by the matcher or not.
If `e` does not contain an application of the form `recFnName .. t ..`, then we know
the recursion doesn't depend on any pattern variable in this matcher.
-/
private def recArgHasLooseBVarsAt (recFnName : Name) (recArgInfo : RecArgInfo) (e : Expr) : Bool :=
let recArgPos := recArgInfo.fixedParams.size + recArgInfo.pos
let app? := e.find? fun e =>
e.isAppOf recFnName && e.getAppNumArgs > recArgPos && (e.getArg! recArgPos).hasLooseBVars
app?.isSome
private partial def replaceRecApps (recFnName : Name) (recArgInfo : RecArgInfo) (below : Expr) (e : Expr) : M Expr :=
let rec loop (below : Expr) (e : Expr) : M Expr := do
match e with
| Expr.lam n d b c =>
withLocalDecl n c.binderInfo (← loop below d) fun x => do
mkLambdaFVars #[x] (← loop below (b.instantiate1 x))
| Expr.forallE n d b c =>
withLocalDecl n c.binderInfo (← loop below d) fun x => do
mkForallFVars #[x] (← loop below (b.instantiate1 x))
| Expr.letE n type val body _ =>
withLetDecl n (← loop below type) (← loop below val) fun x => do
mkLetFVars #[x] (← loop below (body.instantiate1 x))
| Expr.mdata d e _ => return mkMData d (← loop below e)
| Expr.proj n i e _ => return mkProj n i (← loop below e)
| Expr.app _ _ _ =>
let processApp (e : Expr) : M Expr :=
e.withApp fun f args => do
if f.isConstOf recFnName then
let numFixed := recArgInfo.fixedParams.size
let recArgPos := recArgInfo.fixedParams.size + recArgInfo.pos
if recArgPos >= args.size then
throwError "insufficient number of parameters at recursive application {indentExpr e}"
let recArg := args[recArgPos]
-- For reflexive type, we may have nested recursive applications in recArg
let recArg ← loop below recArg
let f ← try toBelow below recArgInfo.indParams.size recArg catch _ => throwError "failed to eliminate recursive application{indentExpr e}"
-- Recall that the fixed parameters are not in the scope of the `brecOn`. So, we skip them.
let argsNonFixed := args.extract numFixed args.size
-- The function `f` does not explicitly take `recArg` and its indices as arguments. So, we skip them too.
let mut fArgs := #[]
for i in [:argsNonFixed.size] do
if recArgInfo.pos != i && !recArgInfo.indicesPos.contains i then
let arg := argsNonFixed[i]
let arg ← replaceRecApps recFnName recArgInfo below arg
fArgs := fArgs.push arg
return mkAppN f fArgs
else
return mkAppN (← loop below f) (← args.mapM (loop below))
let matcherApp? ← matchMatcherApp? e
match matcherApp? with
| some matcherApp =>
if !recArgHasLooseBVarsAt recFnName recArgInfo e then
processApp e
else
/- Here is an example we currently not handle
```
def g (xs : List Nat) : Nat :=
match xs with
| [] => 0
| y::ys =>
match ys with
| [] => 1
| _::_::zs => g zs + 1
| zs => g ys + 2
```
We are matching on `ys`, but still using `ys` in the third alternative.
If we push the `below` argument over the dependent match it will be able to eliminate recursive call using `zs`.
To make it work, users have to write the third alternative as `| zs => g zs + 2`
If this is too annoying in practice, we may replace `ys` with the matching term, but
this may generate weird error messages, when it doesn't work. -/
trace[Elab.definition.structural] "below before matcherApp.addArg: {below} : {← inferType below}"
let matcherApp ← mapError (matcherApp.addArg below) (fun msg => "failed to add `below` argument to 'matcher' application" ++ indentD msg)
modify fun s => { s with matcherBelowDep := s.matcherBelowDep.insert matcherApp.matcherName }
let altsNew ← (Array.zip matcherApp.alts matcherApp.altNumParams).mapM fun (alt, numParams) =>
lambdaTelescope alt fun xs altBody => do
trace[Elab.definition.structural] "altNumParams: {numParams}, xs: {xs}"
unless xs.size >= numParams do
throwError "unexpected matcher application alternative{indentExpr alt}\nat application{indentExpr e}"
let belowForAlt := xs[numParams - 1]
mkLambdaFVars xs (← loop belowForAlt altBody)
pure { matcherApp with alts := altsNew }.toExpr
| none => processApp e
| e => ensureNoRecFn recFnName e
loop below e
private partial def replaceIndPredRecApps (recFnName : Name) (recArgInfo : RecArgInfo) (motive : Expr) (e : Expr) : M Expr := do
let maxDepth := IndPredBelow.maxBackwardChainingDepth.get $ ←getOptions
let rec loop (e : Expr) : M Expr := do
match e with
| Expr.lam n d b c =>
withLocalDecl n c.binderInfo (← loop d) fun x => do
mkLambdaFVars #[x] (← loop (b.instantiate1 x))
| Expr.forallE n d b c =>
withLocalDecl n c.binderInfo (← loop d) fun x => do
mkForallFVars #[x] (← loop (b.instantiate1 x))
| Expr.letE n type val body _ =>
withLetDecl n (← loop type) (← loop val) fun x => do
mkLetFVars #[x] (← loop (body.instantiate1 x))
| Expr.mdata d e _ => return mkMData d (← loop e)
| Expr.proj n i e _ => return mkProj n i (← loop e)
| Expr.app _ _ _ =>
let processApp (e : Expr) : M Expr := do
e.withApp fun f args => do
if f.isConstOf recFnName then
let ty ← inferType e
let main ← mkFreshExprSyntheticOpaqueMVar ty
if ←IndPredBelow.backwardsChaining main.mvarId! maxDepth then
main
else
throwError "could not solve using backwards chaining {MessageData.ofGoal main.mvarId!}"
else
return mkAppN (← loop f) (← args.mapM loop)
match ←matchMatcherApp? e with
| some matcherApp =>
if !recArgHasLooseBVarsAt recFnName recArgInfo e then
processApp e
else
trace[Elab.definition.structural] "matcherApp before adding below transformation:\n{matcherApp.toExpr}"
let rec addBelow (matcherApp : MatcherApp) : M Expr := do
if let some (t, idx) ← IndPredBelow.findBelowIdx matcherApp.discrs motive then
let (newApp, addMatcher) ← IndPredBelow.mkBelowMatcher matcherApp motive t idx
modify fun s => { s with addMatchers := s.addMatchers.push addMatcher }
let some newApp ← matchMatcherApp? newApp | throwError "not a matcherApp: {newApp}"
addBelow newApp
else matcherApp.toExpr
let newApp ← addBelow matcherApp
if newApp == matcherApp.toExpr then
throwError "could not add below discriminant"
else
trace[Elab.definition.structural] "modified matcher:\n{newApp}"
processApp newApp
| none => processApp e
| e => ensureNoRecFn recFnName e
loop e
private def mkBRecOn (recFnName : Name) (recArgInfo : RecArgInfo) (value : Expr) : M Expr := do
let type := (← inferType value).headBeta
let major := recArgInfo.ys[recArgInfo.pos]
let otherArgs := recArgInfo.ys.filter fun y => y != major && !recArgInfo.indIndices.contains y
trace[Elab.definition.structural] "fixedParams: {recArgInfo.fixedParams}, otherArgs: {otherArgs}"
let motive ← mkForallFVars otherArgs type
let mut brecOnUniv ← getLevel motive
trace[Elab.definition.structural] "brecOn univ: {brecOnUniv}"
let useBInductionOn := recArgInfo.reflexive && brecOnUniv == levelZero
if recArgInfo.reflexive && brecOnUniv != levelZero then
brecOnUniv ← decLevel brecOnUniv
let motive ← mkLambdaFVars (recArgInfo.indIndices.push major) motive
trace[Elab.definition.structural] "brecOn motive: {motive}"
let brecOn :=
if useBInductionOn then
Lean.mkConst (mkBInductionOnName recArgInfo.indName) recArgInfo.indLevels
else
Lean.mkConst (mkBRecOnName recArgInfo.indName) (brecOnUniv :: recArgInfo.indLevels)
let brecOn := mkAppN brecOn recArgInfo.indParams
let brecOn := mkApp brecOn motive
let brecOn := mkAppN brecOn recArgInfo.indIndices
let brecOn := mkApp brecOn major
check brecOn
let brecOnType ← inferType brecOn
trace[Elab.definition.structural] "brecOn {brecOn}"
trace[Elab.definition.structural] "brecOnType {brecOnType}"
forallBoundedTelescope brecOnType (some 1) fun F _ => do
let F := F[0]
let FType ← inferType F
trace[Elab.definition.structural] "FType: {FType}"
let FType ← instantiateForall FType recArgInfo.indIndices
let FType ← instantiateForall FType #[major]
forallBoundedTelescope FType (some 1) fun below _ => do
let below := below[0]
let valueNew ← replaceRecApps recFnName recArgInfo below value
let Farg ← mkLambdaFVars (recArgInfo.indIndices ++ #[major, below] ++ otherArgs) valueNew
let brecOn := mkApp brecOn Farg
pure $ mkAppN brecOn otherArgs
private def mkIndPredBRecOn (recFnName : Name) (recArgInfo : RecArgInfo) (value : Expr) : M Expr := do
let type := (← inferType value).headBeta
let major := recArgInfo.ys[recArgInfo.pos]
let otherArgs := recArgInfo.ys.filter fun y => y != major && !recArgInfo.indIndices.contains y
trace[Elab.definition.structural] "fixedParams: {recArgInfo.fixedParams}, otherArgs: {otherArgs}"
let motive ← mkForallFVars otherArgs type
let motive ← mkLambdaFVars (recArgInfo.indIndices.push major) motive
trace[Elab.definition.structural] "brecOn motive: {motive}"
let brecOn :=
Lean.mkConst (mkBRecOnName recArgInfo.indName) recArgInfo.indLevels
let brecOn := mkAppN brecOn recArgInfo.indParams
let brecOn := mkApp brecOn motive
let brecOn := mkAppN brecOn recArgInfo.indIndices
let brecOn := mkApp brecOn major
check brecOn
let brecOnType ← inferType brecOn
trace[Elab.definition.structural] "brecOn {brecOn}"
trace[Elab.definition.structural] "brecOnType {brecOnType}"
-- we need to close the telescope here, because the local context is used:
-- The root cause was, that this copied code puts an ih : FType into the
-- local context and later, when we use the local context to build the recursive
-- call, it uses this ih. But that ih doesn't exist in the actual brecOn call.
-- That's why it must go.
let FType ← forallBoundedTelescope brecOnType (some 1) fun F _ => do
let F := F[0]
let FType ← inferType F
trace[Elab.definition.structural] "FType: {FType}"
let FType ← instantiateForall FType recArgInfo.indIndices
instantiateForall FType #[major]
forallBoundedTelescope FType (some 1) fun below _ => do
let main ← mkFreshExprSyntheticOpaqueMVar FType
let below := below[0]
let valueNew ← replaceIndPredRecApps recFnName recArgInfo motive value
let Farg ← mkLambdaFVars (recArgInfo.indIndices ++ #[major, below] ++ otherArgs) valueNew
let brecOn := mkApp brecOn Farg
pure $ mkAppN brecOn otherArgs
private def shouldBetaReduce (e : Expr) (recFnName : Name) : Bool :=
if e.isHeadBetaTarget then
e.getAppFn.find? (·.isConstOf recFnName) |>.isSome
else
false
/--
Beta reduce terms where the recursive function occurs in the lambda term.
This is useful to improve the effectiveness of `elimRecursion`.
Example:
```
def f : Nat → Nat
| 0 => 1
| i+1 => (fun x => f x) i
```
-/
private def preprocess (e : Expr) (recFnName : Name) : CoreM Expr :=
Core.transform e
fun e => return TransformStep.visit <|
if shouldBetaReduce e recFnName then
e.headBeta
else
e
private def elimRecursion (preDef : PreDefinition) : M PreDefinition :=
withoutModifyingEnv do lambdaTelescope preDef.value fun xs value => do
addAsAxiom preDef
let value ← preprocess value preDef.declName
trace[Elab.definition.structural] "{preDef.declName} {xs} :=\n{value}"
let numFixed ← getFixedPrefix preDef.declName xs value
trace[Elab.definition.structural] "numFixed: {numFixed}"
findRecArg numFixed xs fun recArgInfo => do
-- when (recArgInfo.indName == `Nat) throwStructuralFailed -- HACK to skip Nat argument
let valueNew ←
if recArgInfo.indPred then mkIndPredBRecOn preDef.declName recArgInfo value
else mkBRecOn preDef.declName recArgInfo value
let valueNew ← mkLambdaFVars xs valueNew
trace[Elab.definition.structural] "result: {valueNew}"
-- Recursive applications may still occur in expressions that were not visited by replaceRecApps (e.g., in types)
let valueNew ← ensureNoRecFn preDef.declName valueNew
pure { preDef with value := valueNew }
partial def addSmartUnfoldingDefAux (preDef : PreDefinition) (matcherBelowDep : NameSet) : MetaM PreDefinition := do
let recFnName := preDef.declName
let isMarkedMatcherName (n : Name) : Bool := matcherBelowDep.contains n
let isMarkedMatcherConst (e : Expr) : Bool := e.isConst && isMarkedMatcherName e.constName!
let isMarkedMatcherApp (e : Expr) : Bool := isMarkedMatcherConst e.getAppFn
let containsMarkedMatcher (e : Expr) : Bool := e.find? isMarkedMatcherConst |>.isSome
let rec visit (e : Expr) : MetaM Expr := do
match e with
| Expr.lam .. => lambdaTelescope e fun xs b => do mkLambdaFVars xs (← visit b)
| Expr.forallE .. => forallTelescope e fun xs b => do mkForallFVars xs (← visit b)
| Expr.letE n type val body _ =>
withLetDecl n type (← visit val) fun x => do
mkLetFVars #[x] (← visit (body.instantiate1 x))
| Expr.mdata d b _ => return mkMData d (← visit b)
| Expr.proj n i s _ => return mkProj n i (← visit s)
| Expr.app .. =>
let processApp (e : Expr) : MetaM Expr :=
e.withApp fun f args => do
return mkAppN (← visit f) (← args.mapM visit)
match isMarkedMatcherApp e, (← matchMatcherApp? e) with
| true, some matcherApp =>
let altsNew ← (Array.zip matcherApp.alts matcherApp.altNumParams).mapM fun (alt, numParams) =>
lambdaTelescope alt fun xs altBody => do
unless xs.size >= numParams do
throwError "unexpected matcher application alternative{indentExpr alt}\nat application{indentExpr e}"
if containsMarkedMatcher altBody then
-- continue
mkLambdaFVars xs (← visit altBody)
else
-- add idRhs marker
let altBody ← mkLambdaFVars xs[numParams:xs.size] altBody
let altBody ← mkIdRhs altBody
mkLambdaFVars xs[0:numParams] altBody
pure { matcherApp with alts := altsNew }.toExpr
| _, _ => processApp e
| _ => pure e
return { preDef with
declName := mkSmartUnfoldingNameFor preDef.declName,
value := (← visit preDef.value),
modifiers := {}
}
partial def addSmartUnfoldingDef (preDef : PreDefinition) (state : State) : TermElabM Unit := do
if (← isProp preDef.type) then
return ()
else
let preDefSUnfold ← addSmartUnfoldingDefAux preDef state.matcherBelowDep
addNonRec preDefSUnfold
def structuralRecursion (preDefs : Array PreDefinition) : TermElabM Unit :=
if preDefs.size != 1 then
throwError "structural recursion does not handle mutually recursive functions"
else do
let (preDefNonRec, state) ← run $ elimRecursion preDefs[0]
state.addMatchers.forM liftM
mapError (addNonRec preDefNonRec) (fun msg => m!"structural recursion failed, produced type incorrect term{indentD msg}")
addAndCompilePartialRec preDefs
addSmartUnfoldingDef preDefs[0] state
builtin_initialize
registerTraceClass `Elab.definition.structural
end Structural
export Structural (structuralRecursion)
end Lean.Elab
|
40d3e656c449817702284aa93803bf81dd527ad2 | 74addaa0e41490cbaf2abd313a764c96df57b05d | /Mathlib/combinatorics/simple_graph/matching_auto.lean | 4d679db4d9b980d6e2fa22e9410b72eae3d0a860 | [] | 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 | 2,367 | lean | /-
Copyright (c) 2020 Alena Gusakov. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Author: Alena Gusakov.
-/
import Mathlib.PrePort
import Mathlib.Lean3Lib.init.default
import Mathlib.data.fintype.basic
import Mathlib.data.sym2
import Mathlib.combinatorics.simple_graph.basic
import Mathlib.PostPort
universes u l
namespace Mathlib
/-!
# Matchings
## Main definitions
* a `matching` on a simple graph is a subset of its edge set such that
no two edges share an endpoint.
* a `perfect_matching` on a simple graph is a matching in which every
vertex belongs to an edge.
TODO:
- Lemma stating that the existence of a perfect matching on `G` implies that
the cardinality of `V` is even (assuming it's finite)
- Hall's Marriage Theorem
- Tutte's Theorem
- consider coercions instead of type definition for `matching`:
https://github.com/leanprover-community/mathlib/pull/5156#discussion_r532935457
- consider expressing `matching_verts` as union:
https://github.com/leanprover-community/mathlib/pull/5156#discussion_r532906131
TODO: Tutte and Hall require a definition of subgraphs.
-/
namespace simple_graph
/--
A matching on `G` is a subset of its edges such that no two edges share a vertex.
-/
structure matching {V : Type u} (G : simple_graph V) where
edges : set (sym2 V)
sub_edges : edges ⊆ edge_set G
disjoint : ∀ (x y : sym2 V), x ∈ edges → y ∈ edges → ∀ (v : V), v ∈ x ∧ v ∈ y → x = y
protected instance matching.inhabited {V : Type u} (G : simple_graph V) : Inhabited (matching G) :=
{ default := matching.mk ∅ sorry sorry }
/--
`M.support` is the set of vertices of `G` that are
contained in some edge of matching `M`
-/
def matching.support {V : Type u} {G : simple_graph V} (M : matching G) : set V :=
set_of fun (v : V) => ∃ (x : sym2 V), ∃ (H : x ∈ matching.edges M), v ∈ x
/--
A perfect matching `M` on graph `G` is a matching such that
every vertex is contained in an edge of `M`.
-/
def matching.is_perfect {V : Type u} {G : simple_graph V} (M : matching G) :=
matching.support M = set.univ
theorem matching.is_perfect_iff {V : Type u} {G : simple_graph V} (M : matching G) :
matching.is_perfect M ↔ ∀ (v : V), ∃ (e : sym2 V), ∃ (H : e ∈ matching.edges M), v ∈ e :=
set.eq_univ_iff_forall
end Mathlib |
fdd5624d8d35f81f2027c5c9c75b8162b725605f | 491068d2ad28831e7dade8d6dff871c3e49d9431 | /tests/lean/run/rewriter14.lean | 4672933c4c140ff68d0454e6d1bc2b190b48c794 | [
"Apache-2.0"
] | permissive | davidmueller13/lean | 65a3ed141b4088cd0a268e4de80eb6778b21a0e9 | c626e2e3c6f3771e07c32e82ee5b9e030de5b050 | refs/heads/master | 1,611,278,313,401 | 1,444,021,177,000 | 1,444,021,177,000 | null | 0 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 218 | lean | import data.nat
open nat
definition f [unfold 2] (x y z : nat) : nat :=
x + y + z
attribute of_num [unfold 1]
example (x y : nat) (H1 : f x 0 0 = 0) : x = 0 :=
begin
rewrite [▸* at H1, 4>add_zero at H1, H1]
end
|
05101e77ca9b86d809e8c53cafc8c1e1543559aa | 36c7a18fd72e5b57229bd8ba36493daf536a19ce | /tests/lean/run/t11.lean | cd0596e5e5f0778225a58662079ca2f2cffdf611 | [
"Apache-2.0"
] | permissive | YHVHvx/lean | 732bf0fb7a298cd7fe0f15d82f8e248c11db49e9 | 038369533e0136dd395dc252084d3c1853accbf2 | refs/heads/master | 1,610,701,080,210 | 1,449,128,595,000 | 1,449,128,595,000 | null | 0 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 266 | lean | constant A : Type.{1}
constants a b c : A
constant f : A → A → A
check f a b
section
parameters A B : Type
parameters {C D : Type}
parameters [e d : A]
check A
check B
definition g (a : A) (b : B) (c : C) : A := e
end
check g.{2 1}
constants x y : A
|
e8fcd8da7a5060fde0afa506730a1edc8423ea3f | 6432ea7a083ff6ba21ea17af9ee47b9c371760f7 | /src/Lean/Data/NameMap.lean | dae6964c4cb5f0deb71e3d4b19c26a62a650fc2d | [
"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 | 2,552 | lean | /-
Copyright (c) 2018 Microsoft Corporation. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Author: Leonardo de Moura
-/
import Lean.Data.HashSet
import Lean.Data.RBMap
import Lean.Data.RBTree
import Lean.Data.SSet
import Lean.Data.Name
namespace Lean
instance : Coe String Name := ⟨Name.mkSimple⟩
def NameMap (α : Type) := RBMap Name α Name.quickCmp
@[inline] def mkNameMap (α : Type) : NameMap α := mkRBMap Name α Name.quickCmp
namespace NameMap
variable {α : Type}
instance (α : Type) : EmptyCollection (NameMap α) := ⟨mkNameMap α⟩
instance (α : Type) : Inhabited (NameMap α) where
default := {}
def insert (m : NameMap α) (n : Name) (a : α) := RBMap.insert m n a
def contains (m : NameMap α) (n : Name) : Bool := RBMap.contains m n
@[inline] def find? (m : NameMap α) (n : Name) : Option α := RBMap.find? m n
instance : ForIn m (NameMap α) (Name × α) :=
inferInstanceAs (ForIn _ (RBMap ..) ..)
end NameMap
def NameSet := RBTree Name Name.quickCmp
namespace NameSet
def empty : NameSet := mkRBTree Name Name.quickCmp
instance : EmptyCollection NameSet := ⟨empty⟩
instance : Inhabited NameSet := ⟨empty⟩
def insert (s : NameSet) (n : Name) : NameSet := RBTree.insert s n
def contains (s : NameSet) (n : Name) : Bool := RBMap.contains s n
instance : ForIn m NameSet Name :=
inferInstanceAs (ForIn _ (RBTree ..) ..)
end NameSet
def NameSSet := SSet Name
namespace NameSSet
abbrev empty : NameSSet := SSet.empty
instance : EmptyCollection NameSSet := ⟨empty⟩
instance : Inhabited NameSSet := ⟨empty⟩
abbrev insert (s : NameSSet) (n : Name) : NameSSet := SSet.insert s n
abbrev contains (s : NameSSet) (n : Name) : Bool := SSet.contains s n
end NameSSet
def NameHashSet := HashSet Name
namespace NameHashSet
@[inline] def empty : NameHashSet := HashSet.empty
instance : EmptyCollection NameHashSet := ⟨empty⟩
instance : Inhabited NameHashSet := ⟨{}⟩
def insert (s : NameHashSet) (n : Name) := HashSet.insert s n
def contains (s : NameHashSet) (n : Name) : Bool := HashSet.contains s n
end NameHashSet
def MacroScopesView.isPrefixOf (v₁ v₂ : MacroScopesView) : Bool :=
v₁.name.isPrefixOf v₂.name &&
v₁.scopes == v₂.scopes &&
v₁.mainModule == v₂.mainModule &&
v₁.imported == v₂.imported
def MacroScopesView.isSuffixOf (v₁ v₂ : MacroScopesView) : Bool :=
v₁.name.isSuffixOf v₂.name &&
v₁.scopes == v₂.scopes &&
v₁.mainModule == v₂.mainModule &&
v₁.imported == v₂.imported
end Lean
|
b389da1b1650ab47278e7a2cebeaae68cf3caa05 | 4fa161becb8ce7378a709f5992a594764699e268 | /src/algebra/opposites.lean | 75256c4f7c1f8aba5c849b2f4b29ba3f83b9912c | [
"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 | 6,416 | lean | /-
Copyright (c) 2018 Kenny Lau. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Kenny Lau
Opposites.
-/
import data.opposite
import algebra.field
namespace opposite
universes u
variables (α : Type u)
instance [has_add α] : has_add (opposite α) :=
{ add := λ x y, op (unop x + unop y) }
instance [add_semigroup α] : add_semigroup (opposite α) :=
{ add_assoc := λ x y z, unop_injective $ add_assoc (unop x) (unop y) (unop z),
.. opposite.has_add α }
instance [add_left_cancel_semigroup α] : add_left_cancel_semigroup (opposite α) :=
{ add_left_cancel := λ x y z H, unop_injective $ add_left_cancel $ op_injective H,
.. opposite.add_semigroup α }
instance [add_right_cancel_semigroup α] : add_right_cancel_semigroup (opposite α) :=
{ add_right_cancel := λ x y z H, unop_injective $ add_right_cancel $ op_injective H,
.. opposite.add_semigroup α }
instance [add_comm_semigroup α] : add_comm_semigroup (opposite α) :=
{ add_comm := λ x y, unop_injective $ add_comm (unop x) (unop y),
.. opposite.add_semigroup α }
instance [has_zero α] : has_zero (opposite α) :=
{ zero := op 0 }
section
local attribute [reducible] opposite
@[simp] lemma unop_eq_zero_iff [has_zero α] (a : αᵒᵖ) : a.unop = (0 : α) ↔ a = (0 : αᵒᵖ) :=
iff.refl _
@[simp] lemma op_eq_zero_iff [has_zero α] (a : α) : op a = (0 : αᵒᵖ) ↔ a = (0 : α) :=
iff.refl _
end
instance [add_monoid α] : add_monoid (opposite α) :=
{ zero_add := λ x, unop_injective $ zero_add $ unop x,
add_zero := λ x, unop_injective $ add_zero $ unop x,
.. opposite.add_semigroup α, .. opposite.has_zero α }
instance [add_comm_monoid α] : add_comm_monoid (opposite α) :=
{ .. opposite.add_monoid α, .. opposite.add_comm_semigroup α }
instance [has_neg α] : has_neg (opposite α) :=
{ neg := λ x, op $ -(unop x) }
instance [add_group α] : add_group (opposite α) :=
{ add_left_neg := λ x, unop_injective $ add_left_neg $ unop x,
.. opposite.add_monoid α, .. opposite.has_neg α }
instance [add_comm_group α] : add_comm_group (opposite α) :=
{ .. opposite.add_group α, .. opposite.add_comm_monoid α }
instance [has_mul α] : has_mul (opposite α) :=
{ mul := λ x y, op (unop y * unop x) }
instance [semigroup α] : semigroup (opposite α) :=
{ mul_assoc := λ x y z, unop_injective $ eq.symm $ mul_assoc (unop z) (unop y) (unop x),
.. opposite.has_mul α }
instance [right_cancel_semigroup α] : left_cancel_semigroup (opposite α) :=
{ mul_left_cancel := λ x y z H, unop_injective $ mul_right_cancel $ op_injective H,
.. opposite.semigroup α }
instance [left_cancel_semigroup α] : right_cancel_semigroup (opposite α) :=
{ mul_right_cancel := λ x y z H, unop_injective $ mul_left_cancel $ op_injective H,
.. opposite.semigroup α }
instance [comm_semigroup α] : comm_semigroup (opposite α) :=
{ mul_comm := λ x y, unop_injective $ mul_comm (unop y) (unop x),
.. opposite.semigroup α }
instance [has_one α] : has_one (opposite α) :=
{ one := op 1 }
section
local attribute [reducible] opposite
@[simp] lemma unop_eq_one_iff [has_one α] (a : αᵒᵖ) : a.unop = 1 ↔ a = 1 :=
iff.refl _
@[simp] lemma op_eq_one_iff [has_one α] (a : α) : op a = 1 ↔ a = 1 :=
iff.refl _
end
instance [monoid α] : monoid (opposite α) :=
{ one_mul := λ x, unop_injective $ mul_one $ unop x,
mul_one := λ x, unop_injective $ one_mul $ unop x,
.. opposite.semigroup α, .. opposite.has_one α }
instance [comm_monoid α] : comm_monoid (opposite α) :=
{ .. opposite.monoid α, .. opposite.comm_semigroup α }
instance [has_inv α] : has_inv (opposite α) :=
{ inv := λ x, op $ (unop x)⁻¹ }
instance [group α] : group (opposite α) :=
{ mul_left_inv := λ x, unop_injective $ mul_inv_self $ unop x,
.. opposite.monoid α, .. opposite.has_inv α }
instance [comm_group α] : comm_group (opposite α) :=
{ .. opposite.group α, .. opposite.comm_monoid α }
instance [distrib α] : distrib (opposite α) :=
{ left_distrib := λ x y z, unop_injective $ add_mul (unop y) (unop z) (unop x),
right_distrib := λ x y z, unop_injective $ mul_add (unop z) (unop x) (unop y),
.. opposite.has_add α, .. opposite.has_mul α }
instance [semiring α] : semiring (opposite α) :=
{ zero_mul := λ x, unop_injective $ mul_zero $ unop x,
mul_zero := λ x, unop_injective $ zero_mul $ unop x,
.. opposite.add_comm_monoid α, .. opposite.monoid α, .. opposite.distrib α }
instance [ring α] : ring (opposite α) :=
{ .. opposite.add_comm_group α, .. opposite.monoid α, .. opposite.semiring α }
instance [comm_ring α] : comm_ring (opposite α) :=
{ .. opposite.ring α, .. opposite.comm_semigroup α }
instance [has_zero α] [has_one α] [nonzero α] : nonzero (opposite α) :=
{ zero_ne_one := λ h : op (0 : α) = op 1, zero_ne_one (op_injective h) }
instance [integral_domain α] : integral_domain (opposite α) :=
{ eq_zero_or_eq_zero_of_mul_eq_zero := λ x y (H : op (_ * _) = op (0:α)),
or.cases_on (eq_zero_or_eq_zero_of_mul_eq_zero $ op_injective H)
(λ hy, or.inr $ unop_injective $ hy) (λ hx, or.inl $ unop_injective $ hx),
.. opposite.comm_ring α, .. opposite.nonzero α }
instance [field α] : field (opposite α) :=
{ mul_inv_cancel := λ x hx, unop_injective $ inv_mul_cancel $ λ hx', hx $ unop_injective hx',
inv_zero := unop_injective inv_zero,
.. opposite.comm_ring α, .. opposite.nonzero α, .. opposite.has_inv α }
@[simp] lemma op_zero [has_zero α] : op (0 : α) = 0 := rfl
@[simp] lemma unop_zero [has_zero α] : unop (0 : αᵒᵖ) = 0 := rfl
@[simp] lemma op_one [has_one α] : op (1 : α) = 1 := rfl
@[simp] lemma unop_one [has_one α] : unop (1 : αᵒᵖ) = 1 := rfl
variable {α}
@[simp] lemma op_add [has_add α] (x y : α) : op (x + y) = op x + op y := rfl
@[simp] lemma unop_add [has_add α] (x y : αᵒᵖ) : unop (x + y) = unop x + unop y := rfl
@[simp] lemma op_neg [has_neg α] (x : α) : op (-x) = -op x := rfl
@[simp] lemma unop_neg [has_neg α] (x : αᵒᵖ) : unop (-x) = -unop x := rfl
@[simp] lemma op_mul [has_mul α] (x y : α) : op (x * y) = op y * op x := rfl
@[simp] lemma unop_mul [has_mul α] (x y : αᵒᵖ) : unop (x * y) = unop y * unop x := rfl
@[simp] lemma op_inv [has_inv α] (x : α) : op (x⁻¹) = (op x)⁻¹ := rfl
@[simp] lemma unop_inv [has_inv α] (x : αᵒᵖ) : unop (x⁻¹) = (unop x)⁻¹ := rfl
end opposite
|
2b9e92e36ad4609d44f611d17d2d5e43b502168a | 5d166a16ae129621cb54ca9dde86c275d7d2b483 | /library/data/bitvec.lean | c9d34b016682fbe50c9096d299ef8668daace200 | [
"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 | 6,640 | lean | /-
Copyright (c) 2015 Joe Hendrix. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Joe Hendrix, Sebastian Ullrich
Basic operations on bitvectors.
This is a work-in-progress, and contains additions to other theories.
-/
import data.vector
@[reducible] def bitvec (n : ℕ) := vector bool n
namespace bitvec
open nat
open vector
local infix `++ₜ`:65 := vector.append
-- Create a zero bitvector
@[reducible] protected def zero (n : ℕ) : bitvec n := repeat ff n
-- Create a bitvector with the constant one.
@[reducible] protected def one : Π (n : ℕ), bitvec n
| 0 := []
| (succ n) := repeat ff n ++ₜ [tt]
protected def cong {a b : ℕ} (h : a = b) : bitvec a → bitvec b
| ⟨x, p⟩ := ⟨x, h ▸ p⟩
-- bitvec specific version of vector.append
def append {m n} : bitvec m → bitvec n → bitvec (m + n) := vector.append
section shift
variable {n : ℕ}
def shl (x : bitvec n) (i : ℕ) : bitvec n :=
bitvec.cong (by simp) $
dropn i x ++ₜ repeat ff (min n i)
def fill_shr (x : bitvec n) (i : ℕ) (fill : bool) : bitvec n :=
bitvec.cong
begin
by_cases (i ≤ n),
{ note h₁ := sub_le n i,
rw [min_eq_right h], rw [min_eq_left h₁, -nat.add_sub_assoc h, add_comm, nat.add_sub_cancel] },
{ note h₁ := le_of_not_ge h,
rw [min_eq_left h₁, sub_eq_zero_of_le h₁, min_zero_left, add_zero] }
end $
repeat fill (min n i) ++ₜ taken (n-i) x
-- unsigned shift right
def ushr (x : bitvec n) (i : ℕ) : bitvec n :=
fill_shr x i ff
-- signed shift right
def sshr : Π {m : ℕ}, bitvec m → ℕ → bitvec m
| 0 _ _ := []
| (succ m) x i := head x :: fill_shr (tail x) i (head x)
end shift
section bitwise
variable {n : ℕ}
def not : bitvec n → bitvec n := map bnot
def and : bitvec n → bitvec n → bitvec n := map₂ band
def or : bitvec n → bitvec n → bitvec n := map₂ bor
def xor : bitvec n → bitvec n → bitvec n := map₂ bxor
end bitwise
section arith
variable {n : ℕ}
protected def xor3 (x y c : bool) := bxor (bxor x y) c
protected def carry (x y c : bool) :=
x && y || x && c || y && c
protected def neg (x : bitvec n) : bitvec n :=
let f := λ y c, (y || c, bxor y c) in
prod.snd (map_accumr f x ff)
-- Add with carry (no overflow)
def adc (x y : bitvec n) (c : bool) : bitvec (n+1) :=
let f := λ x y c, (bitvec.carry x y c, bitvec.xor3 x y c) in
let ⟨c, z⟩ := vector.map_accumr₂ f x y c in
c :: z
protected def add (x y : bitvec n) : bitvec n := tail (adc x y ff)
-- Subtract with borrow
def sbb (x y : bitvec n) (b : bool) : bool × bitvec n :=
let f := λ x y c, (bitvec.carry (bnot x) y c, bitvec.xor3 x y c) in
vector.map_accumr₂ f x y b
protected def sub (x y : bitvec n) : bitvec n := prod.snd (sbb x y ff)
instance : has_zero (bitvec n) := ⟨bitvec.zero n⟩
instance : has_one (bitvec n) := ⟨bitvec.one n⟩
instance : has_add (bitvec n) := ⟨bitvec.add⟩
instance : has_sub (bitvec n) := ⟨bitvec.sub⟩
instance : has_neg (bitvec n) := ⟨bitvec.neg⟩
protected def mul (x y : bitvec n) : bitvec n :=
let f := λ r b, cond b (r + r + y) (r + r) in
(to_list x).foldl f 0
instance : has_mul (bitvec n) := ⟨bitvec.mul⟩
end arith
section comparison
variable {n : ℕ}
def uborrow (x y : bitvec n) : bool := prod.fst (sbb x y ff)
def ult (x y : bitvec n) : Prop := uborrow x y
def ugt (x y : bitvec n) : Prop := ult y x
def ule (x y : bitvec n) : Prop := ¬ (ult y x)
def uge (x y : bitvec n) : Prop := ule y x
def sborrow : Π {n : ℕ}, bitvec n → bitvec n → bool
| 0 _ _ := ff
| (succ n) x y :=
match (head x, head y) with
| (tt, ff) := tt
| (ff, tt) := ff
| _ := uborrow (tail x) (tail y)
end
def slt (x y : bitvec n) : Prop := sborrow x y
def sgt (x y : bitvec n) : Prop := slt y x
def sle (x y : bitvec n) : Prop := ¬ (slt y x)
def sge (x y : bitvec n) : Prop := sle y x
end comparison
section conversion
variable {α : Type}
protected def of_nat : Π (n : ℕ), nat → bitvec n
| 0 x := nil
| (succ n) x := of_nat n (x / 2) ++ₜ [to_bool (x % 2 = 1)]
protected def of_int : Π (n : ℕ), int → bitvec (succ n)
| n (int.of_nat m) := ff :: bitvec.of_nat n m
| n (int.neg_succ_of_nat m) := tt :: not (bitvec.of_nat n m)
def add_lsb (r : ℕ) (b : bool) := r + r + cond b 1 0
def bits_to_nat (v : list bool) : nat :=
v.foldl add_lsb 0
protected def to_nat {n : nat} (v : bitvec n) : nat :=
bits_to_nat (to_list v)
lemma bits_to_nat_to_list {n : ℕ} (x : bitvec n)
: bitvec.to_nat x = bits_to_nat (vector.to_list x) := rfl
theorem to_nat_append {m : ℕ} (xs : bitvec m) (b : bool)
: bitvec.to_nat (xs ++ₜ[b]) = bitvec.to_nat xs * 2 + bitvec.to_nat [b] :=
begin
cases xs with xs P,
simp [bits_to_nat_to_list], clear P,
unfold bits_to_nat list.foldl,
-- the next 4 lines generalize the accumulator of foldl
pose x := 0,
change _ = add_lsb x b + _,
generalize 0 y,
revert x, simp,
induction xs with x xs ; intro y,
{ simp, unfold list.foldl add_lsb, simp [nat.mul_succ] },
{ simp, unfold list.foldl, apply ih_1 }
end
theorem bits_to_nat_to_bool (n : ℕ)
: bitvec.to_nat [to_bool (n % 2 = 1)] = n % 2 :=
begin
simp [bits_to_nat_to_list],
unfold bits_to_nat add_lsb list.foldl cond,
simp [cond_to_bool_mod_two],
end
lemma of_nat_succ {k n : ℕ}
: bitvec.of_nat (succ k) n = bitvec.of_nat k (n / 2) ++ₜ[to_bool (n % 2 = 1)] :=
rfl
theorem to_nat_of_nat {k n : ℕ}
: bitvec.to_nat (bitvec.of_nat k n) = n % 2^k :=
begin
revert n,
induction k with k ; intro n,
{ unfold pow, simp [nat.mod_one], refl },
{ assert h : 0 < 2, { apply le_succ },
rw [ of_nat_succ
, to_nat_append
, ih_1
, bits_to_nat_to_bool
, mod_pow_succ h],
ac_refl, }
end
protected def to_int : Π {n : nat}, bitvec n → int
| 0 _ := 0
| (succ n) v :=
cond (head v)
(int.neg_succ_of_nat $ bitvec.to_nat $ not $ tail v)
(int.of_nat $ bitvec.to_nat $ tail v)
end conversion
private def to_string {n : nat} : bitvec n → string
| ⟨bs, p⟩ :=
"0b" ++ (bs.map (λ b : bool, if b then '1' else '0')).as_string
instance (n : nat) : has_to_string (bitvec n) :=
⟨to_string⟩
end bitvec
instance {n} {x y : bitvec n} : decidable (bitvec.ult x y) := bool.decidable_eq _ _
instance {n} {x y : bitvec n} : decidable (bitvec.ugt x y) := bool.decidable_eq _ _
|
3aba4b70dfa36c428eaa2da9338bbf02259237be | 4efff1f47634ff19e2f786deadd394270a59ecd2 | /src/number_theory/basic.lean | 124ebc0a13abbdd94b78b6d4b670b7d31341e8cb | [
"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 | 1,005 | lean | /-
Copyright (c) 2020 Johan Commelin. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Johan Commelin, Kenny Lau
-/
import algebra.geom_sum
import ring_theory.ideal.basic
section
open ideal ideal.quotient
lemma dvd_sub_pow_of_dvd_sub {R : Type*} [comm_ring R] {p : ℕ}
{a b : R} (h : (p : R) ∣ a - b) (k : ℕ) :
(p^(k+1) : R) ∣ a^(p^k) - b^(p^k) :=
begin
induction k with k ih,
{ rwa [pow_one, nat.pow_zero, pow_one, pow_one] },
rw [nat.pow_succ, pow_mul, pow_mul, ← geom_sum₂_mul, pow_succ],
refine mul_dvd_mul _ ih,
let I : ideal R := span {p},
let f : R →+* ideal.quotient I := mk I,
have hp : (p : ideal.quotient I) = 0,
{ rw [← f.map_nat_cast, eq_zero_iff_mem, mem_span_singleton] },
rw [← mem_span_singleton, ← ideal.quotient.eq] at h,
rw [← mem_span_singleton, ← eq_zero_iff_mem, ring_hom.map_geom_series₂,
ring_hom.map_pow, ring_hom.map_pow, h, geom_series₂_self, hp, zero_mul],
end
end
|
42a0107263f23700adb92e49608586174da58905 | 6dc0c8ce7a76229dd81e73ed4474f15f88a9e294 | /tests/lean/match2.lean | e171048bbb633f16516f7dc6a77844a83f331d38 | [
"Apache-2.0"
] | permissive | williamdemeo/lean4 | 72161c58fe65c3ad955d6a3050bb7d37c04c0d54 | 6d00fcf1d6d873e195f9220c668ef9c58e9c4a35 | refs/heads/master | 1,678,305,356,877 | 1,614,708,995,000 | 1,614,708,995,000 | null | 0 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 1,346 | lean |
#print "---- Op"
inductive Op : Nat → Nat → Type
| mk : ∀ n, Op n n
structure Node : Type :=
(id₁ id₂ : Nat)
(o : Op id₁ id₂)
def h1 (x : List Node) : Bool :=
match x with
| _ :: Node.mk _ _ (Op.mk 0) :: _ => true
| _ => false
def mkNode (n : Nat) : Node := { id₁ := n, id₂ := n, o := Op.mk n }
#eval h1 [mkNode 1, mkNode 0, mkNode 3]
#eval h1 [mkNode 1, mkNode 1, mkNode 3]
#eval h1 [mkNode 0]
#eval h1 []
#print "---- Foo 1"
inductive Foo : Bool → Type
| bar : Foo false
| baz : Foo false
def h2 {b : Bool} (x : Foo b) : Bool :=
match b, x with
| _, Foo.bar => true
| _, Foo.baz => false
#eval h2 Foo.bar
#eval h2 Foo.baz
#print "---- Foo 2"
def h3 {b : Bool} (x : Foo b) : Bool :=
match b, x with
| _, Foo.bar => true
| _, _ => false
#eval h3 Foo.bar
#eval h3 Foo.baz
#print "---- Op 2"
def h4 (x : List Node) : Bool :=
match x with
| _ :: ⟨1, 1, Op.mk 1⟩ :: _ => true
| _ => false
#eval h4 [mkNode 1, mkNode 0, mkNode 3]
#eval h4 [mkNode 1, mkNode 1, mkNode 3]
#eval h4 [mkNode 0]
#eval h4 []
#print "---- Foo 3"
set_option pp.all true
def h5 {b : Bool} (x : Foo b) : Bool :=
match b, x with
| _, Foo.bar => true
| c, y => false
def h6 {b : Bool} (x : Foo b) : Bool :=
match b, x with
| _, Foo.bar => true
| b, x => false
|
edfe4605981a84c04c00279074b8bac1fd747992 | 57c233acf9386e610d99ed20ef139c5f97504ba3 | /src/algebra/big_operators/intervals.lean | 683b7b97d4e78aff3c0de2ad0ac6d3e20c114887 | [
"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 | 6,920 | lean | /-
Copyright (c) 2017 Johannes Hölzl. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Johannes Hölzl
-/
import algebra.big_operators.basic
import data.nat.interval
import tactic.linarith
/-!
# Results about big operators over intervals
We prove results about big operators over intervals (mostly the `ℕ`-valued `Ico m n`).
-/
universes u v w
open_locale big_operators nat
namespace finset
variables {α : Type u} {β : Type v} {γ : Type w} {s₂ s₁ s : finset α} {a : α}
{g f : α → β}
lemma sum_Ico_add [ordered_cancel_add_comm_monoid α] [has_exists_add_of_le α]
[locally_finite_order α] [add_comm_monoid β] (f : α → β) (a b c : α) :
(∑ x in Ico a b, f (c + x)) = (∑ x in Ico (a + c) (b + c), f x) :=
begin
classical,
rw [←image_add_right_Ico, sum_image (λ x hx y hy h, add_right_cancel h)],
simp_rw add_comm,
end
@[to_additive]
lemma prod_Ico_add [ordered_cancel_add_comm_monoid α] [has_exists_add_of_le α]
[locally_finite_order α] [comm_monoid β] (f : α → β) (a b c : α) :
(∏ x in Ico a b, f (c + x)) = (∏ x in Ico (a + c) (b + c), f x) :=
@sum_Ico_add _ (additive β) _ _ _ _ f a b c
variables [comm_monoid β]
lemma sum_Ico_succ_top {δ : Type*} [add_comm_monoid δ] {a b : ℕ}
(hab : a ≤ b) (f : ℕ → δ) : (∑ k in Ico a (b + 1), f k) = (∑ k in Ico a b, f k) + f b :=
by rw [nat.Ico_succ_right_eq_insert_Ico hab, sum_insert right_not_mem_Ico, add_comm]
@[to_additive]
lemma prod_Ico_succ_top {a b : ℕ} (hab : a ≤ b) (f : ℕ → β) :
(∏ k in Ico a (b + 1), f k) = (∏ k in Ico a b, f k) * f b :=
@sum_Ico_succ_top (additive β) _ _ _ hab _
lemma sum_eq_sum_Ico_succ_bot {δ : Type*} [add_comm_monoid δ] {a b : ℕ}
(hab : a < b) (f : ℕ → δ) : (∑ k in Ico a b, f k) = f a + (∑ k in Ico (a + 1) b, f k) :=
have ha : a ∉ Ico (a + 1) b, by simp,
by rw [← sum_insert ha, nat.Ico_insert_succ_left hab]
@[to_additive]
lemma prod_eq_prod_Ico_succ_bot {a b : ℕ} (hab : a < b) (f : ℕ → β) :
(∏ k in Ico a b, f k) = f a * (∏ k in Ico (a + 1) b, f k) :=
@sum_eq_sum_Ico_succ_bot (additive β) _ _ _ hab _
@[to_additive]
lemma prod_Ico_consecutive (f : ℕ → β) {m n k : ℕ} (hmn : m ≤ n) (hnk : n ≤ k) :
(∏ i in Ico m n, f i) * (∏ i in Ico n k, f i) = (∏ i in Ico m k, f i) :=
Ico_union_Ico_eq_Ico hmn hnk ▸ eq.symm $ prod_union $ Ico_disjoint_Ico_consecutive m n k
@[to_additive]
lemma prod_range_mul_prod_Ico (f : ℕ → β) {m n : ℕ} (h : m ≤ n) :
(∏ k in range m, f k) * (∏ k in Ico m n, f k) = (∏ k in range n, f k) :=
nat.Ico_zero_eq_range ▸ nat.Ico_zero_eq_range ▸ prod_Ico_consecutive f m.zero_le h
@[to_additive]
lemma prod_Ico_eq_mul_inv {δ : Type*} [comm_group δ] (f : ℕ → δ) {m n : ℕ} (h : m ≤ n) :
(∏ k in Ico m n, f k) = (∏ k in range n, f k) * (∏ k in range m, f k)⁻¹ :=
eq_mul_inv_iff_mul_eq.2 $ by rw [mul_comm]; exact prod_range_mul_prod_Ico f h
lemma sum_Ico_eq_sub {δ : Type*} [add_comm_group δ] (f : ℕ → δ) {m n : ℕ} (h : m ≤ n) :
(∑ k in Ico m n, f k) = (∑ k in range n, f k) - (∑ k in range m, f k) :=
by simpa only [sub_eq_add_neg] using sum_Ico_eq_add_neg f h
/-- The two ways of summing over `(i,j)` in the range `a<=i<=j<b` are equal. -/
lemma sum_Ico_Ico_comm {M : Type*} [add_comm_monoid M]
(a b : ℕ) (f : ℕ → ℕ → M) :
∑ i in finset.Ico a b, ∑ j in finset.Ico i b, f i j =
∑ j in finset.Ico a b, ∑ i in finset.Ico a (j+1), f i j :=
begin
rw [finset.sum_sigma', finset.sum_sigma'],
refine finset.sum_bij'
(λ (x : Σ (i : ℕ), ℕ) _, (⟨x.2, x.1⟩ : Σ (i : ℕ), ℕ)) _ (λ _ _, rfl)
(λ (x : Σ (i : ℕ), ℕ) _, (⟨x.2, x.1⟩ : Σ (i : ℕ), ℕ)) _
(by rintro ⟨⟩ _; refl) (by rintro ⟨⟩ _; refl);
simp only [finset.mem_Ico, sigma.forall, finset.mem_sigma];
rintros a b ⟨⟨h₁,h₂⟩, ⟨h₃, h₄⟩⟩; refine ⟨⟨_, _⟩, ⟨_, _⟩⟩; linarith
end
@[to_additive]
lemma prod_Ico_eq_prod_range (f : ℕ → β) (m n : ℕ) :
(∏ k in Ico m n, f k) = (∏ k in range (n - m), f (m + k)) :=
begin
by_cases h : m ≤ n,
{ rw [←nat.Ico_zero_eq_range, prod_Ico_add, zero_add, tsub_add_cancel_of_le h] },
{ replace h : n ≤ m := le_of_not_ge h,
rw [Ico_eq_empty_of_le h, tsub_eq_zero_iff_le.mpr h, range_zero, prod_empty, prod_empty] }
end
lemma prod_Ico_reflect (f : ℕ → β) (k : ℕ) {m n : ℕ} (h : m ≤ n + 1) :
∏ j in Ico k m, f (n - j) = ∏ j in Ico (n + 1 - m) (n + 1 - k), f j :=
begin
have : ∀ i < m, i ≤ n,
{ intros i hi,
exact (add_le_add_iff_right 1).1 (le_trans (nat.lt_iff_add_one_le.1 hi) h) },
cases lt_or_le k m with hkm hkm,
{ rw [← nat.Ico_image_const_sub_eq_Ico (this _ hkm)],
refine (prod_image _).symm,
simp only [mem_Ico],
rintros i ⟨ki, im⟩ j ⟨kj, jm⟩ Hij,
rw [← tsub_tsub_cancel_of_le (this _ im), Hij, tsub_tsub_cancel_of_le (this _ jm)] },
{ simp [Ico_eq_empty_of_le, tsub_le_tsub_left, hkm] }
end
lemma sum_Ico_reflect {δ : Type*} [add_comm_monoid δ] (f : ℕ → δ) (k : ℕ) {m n : ℕ}
(h : m ≤ n + 1) :
∑ j in Ico k m, f (n - j) = ∑ j in Ico (n + 1 - m) (n + 1 - k), f j :=
@prod_Ico_reflect (multiplicative δ) _ f k m n h
lemma prod_range_reflect (f : ℕ → β) (n : ℕ) :
∏ j in range n, f (n - 1 - j) = ∏ j in range n, f j :=
begin
cases n,
{ simp },
{ simp only [←nat.Ico_zero_eq_range, nat.succ_sub_succ_eq_sub, tsub_zero],
rw prod_Ico_reflect _ _ le_rfl,
simp }
end
lemma sum_range_reflect {δ : Type*} [add_comm_monoid δ] (f : ℕ → δ) (n : ℕ) :
∑ j in range n, f (n - 1 - j) = ∑ j in range n, f j :=
@prod_range_reflect (multiplicative δ) _ f n
@[simp] lemma prod_Ico_id_eq_factorial : ∀ n : ℕ, ∏ x in Ico 1 (n + 1), x = n!
| 0 := rfl
| (n+1) := by rw [prod_Ico_succ_top $ nat.succ_le_succ $ zero_le n,
nat.factorial_succ, prod_Ico_id_eq_factorial n, nat.succ_eq_add_one, mul_comm]
@[simp] lemma prod_range_add_one_eq_factorial : ∀ n : ℕ, ∏ x in range n, (x+1) = n!
| 0 := rfl
| (n+1) := by simp [finset.range_succ, prod_range_add_one_eq_factorial n]
section gauss_sum
/-- Gauss' summation formula -/
lemma sum_range_id_mul_two (n : ℕ) :
(∑ i in range n, i) * 2 = n * (n - 1) :=
calc (∑ i in range n, i) * 2 = (∑ i in range n, i) + (∑ i in range n, (n - 1 - i)) :
by rw [sum_range_reflect (λ i, i) n, mul_two]
... = ∑ i in range n, (i + (n - 1 - i)) : sum_add_distrib.symm
... = ∑ i in range n, (n - 1) : sum_congr rfl $ λ i hi, add_tsub_cancel_of_le $
nat.le_pred_of_lt $ mem_range.1 hi
... = n * (n - 1) : by rw [sum_const, card_range, nat.nsmul_eq_mul]
/-- Gauss' summation formula -/
lemma sum_range_id (n : ℕ) : (∑ i in range n, i) = (n * (n - 1)) / 2 :=
by rw [← sum_range_id_mul_two n, nat.mul_div_cancel]; exact dec_trivial
end gauss_sum
end finset
|
f1b8dead54d73a8fbeea9fb2f46904b94f4efa0b | e2fc96178628c7451e998a0db2b73877d0648be5 | /test/demo_context_sensitive.lean | cbb05f97b341e080eb7dd9388b184d80eb8cf60b | [
"BSD-2-Clause"
] | permissive | madvorak/grammars | cd324ae19b28f7b8be9c3ad010ef7bf0fabe5df2 | 1447343a45fcb7821070f1e20b57288d437323a6 | refs/heads/main | 1,692,383,644,884 | 1,692,032,429,000 | 1,692,032,429,000 | 453,948,141 | 7 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 7,057 | lean | import classes.context_sensitive.basics.toolbox
import utilities.list_utils
inductive Te
| a_ : Te
| b_ : Te
| c_ : Te
inductive Nt
| B_ : Nt
| C_ : Nt
| R_ : Nt
| S_ : Nt
| X_ : Nt
| Y_ : Nt
| Z_ : Nt
private def a : symbol Te Nt := symbol.terminal Te.a_
private def b : symbol Te Nt := symbol.terminal Te.b_
private def c : symbol Te Nt := symbol.terminal Te.c_
private def B : symbol Te Nt := symbol.nonterminal Nt.B_
private def C : symbol Te Nt := symbol.nonterminal Nt.C_
private def R : symbol Te Nt := symbol.nonterminal Nt.R_
private def S : symbol Te Nt := symbol.nonterminal Nt.S_
private def X : symbol Te Nt := symbol.nonterminal Nt.X_
private def Y : symbol Te Nt := symbol.nonterminal Nt.Y_
private def Z : symbol Te Nt := symbol.nonterminal Nt.Z_
/-- rule `S → aSBC | aRC` as two context-sensitive rules -/
private def r₁ : csrule Te Nt := csrule.mk [] Nt.S_ [] [a, S, B, C]
private def r₂ : csrule Te Nt := csrule.mk [] Nt.S_ [] [a, R, C]
/-- non-contracting rule `CB → BC` modelled by `CB → XB → XC → BC` which is context-sensitive -/
private def r₃ : csrule Te Nt := csrule.mk [] Nt.C_ [B] [X]
private def r₃' : csrule Te Nt := csrule.mk [X] Nt.B_ [] [C]
private def r₃'': csrule Te Nt := csrule.mk [] Nt.X_ [C] [B]
/-- non-contracting rule `RB → bR` modelled by `RB → YB → YR → bR` which is context-sensitive -/
private def r₄ : csrule Te Nt := csrule.mk [] Nt.R_ [B] [Y]
private def r₄' : csrule Te Nt := csrule.mk [Y] Nt.B_ [] [R]
private def r₄'': csrule Te Nt := csrule.mk [] Nt.Y_ [R] [b]
/-- non-contracting rule `RC → bc` modelled by `RC → ZC → Zc → bc` which is context-sensitive -/
private def r₅ : csrule Te Nt := csrule.mk [] Nt.R_ [C] [Z]
private def r₅' : csrule Te Nt := csrule.mk [Z] Nt.C_ [] [c]
private def r₅'': csrule Te Nt := csrule.mk [] Nt.Z_ [c] [b]
/-- context-sensitive rule `cC → cc` -/
private def r₆ : csrule Te Nt := csrule.mk [c] Nt.C_ [] [c]
private def my_grammar : CS_grammar Te :=
CS_grammar.mk Nt Nt.S_ [r₁, r₂, r₃, r₃', r₃'', r₄, r₄', r₄'', r₅, r₅', r₅'', r₆]
/-- generate `abc` by the grammar above -/
example : [Te.a_, Te.b_, Te.c_] ∈ CS_language my_grammar :=
begin
unfold my_grammar,
apply CS_deri_of_tran_deri,
{
use r₂,
split_ile,
use [[], []],
split;
refl,
},
apply CS_deri_of_tran_deri,
{
use r₅,
split_ile,
use [[a], []],
split;
refl,
},
apply CS_deri_of_tran_deri,
{
use r₅',
split_ile,
use [[a], []],
split;
refl,
},
apply CS_deri_of_tran,
{
use r₅'',
split_ile,
use [[a], []],
split;
refl,
},
end
private meta def CS_step (rule : pexpr) (pref post : pexpr) : tactic unit := `[
apply CS_deri_of_tran_deri,
tactic.use [rule],
split_ile,
tactic.use [pref, post],
split;
refl
]
/-- generate `aabbcc` by the grammar above -/
example : [Te.a_, Te.a_, Te.b_, Te.b_, Te.c_, Te.c_] ∈ CS_language my_grammar :=
begin
unfold my_grammar,
-- S
CS_step ``(r₁) ``([]) ``([]),
-- aSBC
CS_step ``(r₂) ``([a]) ``([B, C]),
-- aaRCBClet
CS_step ``(r₃) ``([a, a, R]) ``([C]),
CS_step ``(r₃') ``([a, a, R]) ``([C]),
CS_step ``(r₃'') ``([a, a, R]) ``([C]),
-- aaRBCC
CS_step ``(r₄) ``([a, a]) ``([C, C]),
CS_step ``(r₄') ``([a, a]) ``([C, C]),
CS_step ``(r₄'') ``([a, a]) ``([C, C]),
-- aabRCC
CS_step ``(r₅) ``([a, a, b]) ``([C]),
CS_step ``(r₅') ``([a, a, b]) ``([C]),
CS_step ``(r₅'') ``([a, a, b]) ``([C]),
-- aabbcC
CS_step ``(r₆) ``([a, a, b, b]) ``([]),
-- aabbcc
apply CS_deri_self,
end
private meta def combined_steps_r₃ (pre pos : pexpr) : tactic unit := `[
CS_step ``(r₃) pre pos,
CS_step ``(r₃') pre pos,
CS_step ``(r₃'') pre pos
]
private meta def combined_steps_r₄ (pre pos : pexpr) : tactic unit := `[
CS_step ``(r₄) pre pos,
CS_step ``(r₄') pre pos,
CS_step ``(r₄'') pre pos
]
/-- generate `aaabbbccc` by the grammar above -/
example : [Te.a_, Te.a_, Te.a_, Te.b_, Te.b_, Te.b_, Te.c_, Te.c_, Te.c_] ∈ CS_language my_grammar :=
begin
-- S
CS_step ``(r₁) ``([]) ``([]),
-- aSBC
CS_step ``(r₁) ``([a]) ``([B, C]),
-- aaSBCBC
CS_step ``(r₂) ``([a, a]) ``([B, C, B, C]),
-- aaaRCBCBC
combined_steps_r₃ ``([a, a, a, R]) ``([C, B, C]),
-- aaaRBCCBC
combined_steps_r₃ ``([a, a, a, R, B, C]) ``([C]),
-- aaaRBCBCC
combined_steps_r₃ ``([a, a, a, R, B]) ``([C, C]),
-- aaaRBBCCC
combined_steps_r₄ ``([a, a, a]) ``([B, C, C, C]),
-- aaabRBCCC
combined_steps_r₄ ``([a, a, a, b]) ``([C, C, C]),
-- aaabbRCCC
CS_step ``(r₅) ``([a, a, a, b, b]) ``([C, C]),
CS_step ``(r₅') ``([a, a, a, b, b]) ``([C, C]),
CS_step ``(r₅'') ``([a, a, a, b, b]) ``([C, C]),
-- aaabbbcCC
CS_step ``(r₆) ``([a, a, a, b, b, b]) ``([C]),
-- aaabbbccC
CS_step ``(r₆) ``([a, a, a, b, b, b, c]) ``([]),
-- aaabbbccc
apply CS_deri_self,
end
/-- generate ` a^4 . b^4 . c^4 ` by the grammar above -/
example : [Te.a_, Te.a_, Te.a_, Te.a_,
Te.b_, Te.b_, Te.b_, Te.b_,
Te.c_, Te.c_, Te.c_, Te.c_]
∈ CS_language my_grammar :=
begin
-- .S.
CS_step ``(r₁) ``([]) ``([]),
-- .aSBC.
-- a.S.BC
CS_step ``(r₁) ``([a]) ``([B, C]),
-- a.aSBC.BC
-- aa.S.BCBC
CS_step ``(r₁) ``([a, a]) ``([B, C, B, C]),
-- aa.aSBC.BCBC
-- aaa.S.BCBCBC
CS_step ``(r₂) ``([a, a, a]) ``([B, C, B, C, B, C]),
-- aaa.aRC.BCBCBC
-- aaaaR.CB.CBCBC
combined_steps_r₃ ``([a, a, a, a, R]) ``([C, B, C, B, C]),
-- aaaaR.BC.CBCBC
-- aaaaRBC.CB.CBC
combined_steps_r₃ ``([a, a, a, a, R, B, C]) ``([C, B, C]),
-- aaaaRBC.BC.CBC
-- aaaaRB.CB.CCBC
combined_steps_r₃ ``([a, a, a, a, R, B]) ``([C, C, B, C]),
-- aaaaRB.BC.CCBC
-- aaaaRBBCC.CB.C
combined_steps_r₃ ``([a, a, a, a, R, B, B, C, C]) ``([C]),
-- aaaaRBBCC.BC.C
-- aaaaRBBC.CB.CC
combined_steps_r₃ ``([a, a, a, a, R, B, B, C]) ``([C, C]),
-- aaaaRBBC.BC.CC
-- aaaaRBB.CB.CCC
combined_steps_r₃ ``([a, a, a, a, R, B, B]) ``([C, C, C]),
-- aaaaRBB.BC.CCC
-- aaaa.RB.BBCCCC
combined_steps_r₄ ``([a, a, a, a]) ``([B, B, C, C, C, C]),
-- aaaa.bR.BBCCCC
-- aaaab.RB.BCCCC
combined_steps_r₄ ``([a, a, a, a, b]) ``([B, C, C, C, C]),
-- aaaab.bR.BCCCC
-- aaaabb.RB.CCCC
combined_steps_r₄ ``([a, a, a, a, b, b]) ``([C, C, C, C]),
-- aaaabb.bR.CCCC
-- aaaabbb.RC.CCC
CS_step ``(r₅) ``([a, a, a, a, b, b, b]) ``([C, C, C]),
-- aaaabbb.ZC.CCC
CS_step ``(r₅') ``([a, a, a, a, b, b, b]) ``([C, C, C]),
-- aaaabbb.Zc.CCC
CS_step ``(r₅'') ``([a, a, a, a, b, b, b]) ``([C, C, C]),
-- aaaabbb.bc.CCC
-- aaaabbbb.cC.CC
CS_step ``(r₆) ``([a, a, a, a, b, b, b, b]) ``([C, C]),
-- aaaabbbb.cc.CC
-- aaaabbbbc.cC.C
CS_step ``(r₆) ``([a, a, a, a, b, b, b, b, c]) ``([C]),
-- aaaabbbbc.cc.C
-- aaaabbbbcc.cC.
CS_step ``(r₆) ``([a, a, a, a, b, b, b, b, c, c]) ``([]),
-- aaaabbbbcc.cc.
apply CS_deri_self,
end
|
edf0bb4552d31319f9153712875cb1b250cd72cb | 36c7a18fd72e5b57229bd8ba36493daf536a19ce | /library/algebra/complete_lattice.lean | 82f321b37ce602989abd951e36b1c34ecd9a445e | [
"Apache-2.0"
] | permissive | YHVHvx/lean | 732bf0fb7a298cd7fe0f15d82f8e248c11db49e9 | 038369533e0136dd395dc252084d3c1853accbf2 | refs/heads/master | 1,610,701,080,210 | 1,449,128,595,000 | 1,449,128,595,000 | null | 0 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 10,043 | 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
Complete lattices
TODO: define dual complete lattice and simplify proof of dual theorems.
-/
import algebra.lattice data.set.basic
open set
namespace algebra
variable {A : Type}
structure complete_lattice [class] (A : Type) extends lattice A :=
(Inf : set A → A)
(Sup : set A → A)
(Inf_le : ∀ {a : A} {s : set A}, a ∈ s → le (Inf s) a)
(le_Inf : ∀ {b : A} {s : set A}, (∀ (a : A), a ∈ s → le b a) → le b (Inf s))
(le_Sup : ∀ {a : A} {s : set A}, a ∈ s → le a (Sup s))
(Sup_le : ∀ {b : A} {s : set A} (h : ∀ (a : A), a ∈ s → le a b), le (Sup s) b)
-- Minimal complete_lattice definition based just on Inf.
-- We latet show that complete_lattice_Inf is a complete_lattice
structure complete_lattice_Inf [class] (A : Type) extends weak_order A :=
(Inf : set A → A)
(Inf_le : ∀ {a : A} {s : set A}, a ∈ s → le (Inf s) a)
(le_Inf : ∀ {b : A} {s : set A}, (∀ (a : A), a ∈ s → le b a) → le b (Inf s))
-- Minimal complete_lattice definition based just on Sup.
-- We later show that complete_lattice_Sup is a complete_lattice
structure complete_lattice_Sup [class] (A : Type) extends weak_order A :=
(Sup : set A → A)
(le_Sup : ∀ {a : A} {s : set A}, a ∈ s → le a (Sup s))
(Sup_le : ∀ {b : A} {s : set A} (h : ∀ (a : A), a ∈ s → le a b), le (Sup s) b)
namespace complete_lattice_Inf
variable [C : complete_lattice_Inf A]
include C
definition Sup (s : set A) : A :=
Inf {b | ∀ a, a ∈ s → a ≤ b}
local prefix `⨅`:70 := Inf
local prefix `⨆`:65 := Sup
lemma le_Sup {a : A} {s : set A} : a ∈ s → a ≤ ⨆ s :=
suppose a ∈ s, le_Inf
(show ∀ (b : A), (∀ (a : A), a ∈ s → a ≤ b) → a ≤ b, from
take b, assume h, h a `a ∈ s`)
lemma Sup_le {b : A} {s : set A} (h : ∀ (a : A), a ∈ s → a ≤ b) : ⨆ s ≤ b :=
Inf_le h
definition inf (a b : A) := ⨅ '{a, b}
definition sup (a b : A) := ⨆ '{a, b}
local infix `⊓` := inf
local infix `⊔` := sup
lemma inf_le_left (a b : A) : a ⊓ b ≤ a :=
Inf_le !mem_insert
lemma inf_le_right (a b : A) : a ⊓ b ≤ b :=
Inf_le (!mem_insert_of_mem !mem_insert)
lemma le_inf {a b c : A} : c ≤ a → c ≤ b → c ≤ a ⊓ b :=
assume h₁ h₂,
le_Inf (take x, suppose x ∈ '{a, b},
or.elim (eq_or_mem_of_mem_insert this)
(suppose x = a, begin subst x, exact h₁ end)
(suppose x ∈ '{b},
assert x = b, from !eq_of_mem_singleton this,
begin subst x, exact h₂ end))
lemma le_sup_left (a b : A) : a ≤ a ⊔ b :=
le_Sup !mem_insert
lemma le_sup_right (a b : A) : b ≤ a ⊔ b :=
le_Sup (!mem_insert_of_mem !mem_insert)
lemma sup_le {a b c : A} : a ≤ c → b ≤ c → a ⊔ b ≤ c :=
assume h₁ h₂,
Sup_le (take x, suppose x ∈ '{a, b},
or.elim (eq_or_mem_of_mem_insert this)
(suppose x = a, by subst x; assumption)
(suppose x ∈ '{b},
assert x = b, from !eq_of_mem_singleton this,
by subst x; assumption))
end complete_lattice_Inf
-- Every complete_lattice_Inf is a complete_lattice_Sup
definition complete_lattice_Inf_to_complete_lattice_Sup [C : complete_lattice_Inf A] : complete_lattice_Sup A :=
⦃ complete_lattice_Sup, C ⦄
-- Every complete_lattice_Inf is a complete_lattice
definition complete_lattice_Inf_to_complete_lattice [instance] [C : complete_lattice_Inf A] : complete_lattice A :=
⦃ complete_lattice, C ⦄
namespace complete_lattice_Sup
variable [C : complete_lattice_Sup A]
include C
definition Inf (s : set A) : A :=
Sup {b | ∀ a, a ∈ s → b ≤ a}
lemma Inf_le {a : A} {s : set A} : a ∈ s → Inf s ≤ a :=
suppose a ∈ s, Sup_le
(show ∀ (b : A), (∀ (a : A), a ∈ s → b ≤ a) → b ≤ a, from
take b, assume h, h a `a ∈ s`)
lemma le_Inf {b : A} {s : set A} (h : ∀ (a : A), a ∈ s → b ≤ a) : b ≤ Inf s :=
le_Sup h
end complete_lattice_Sup
-- Every complete_lattice_Sup is a complete_lattice_Inf
definition complete_lattice_Sup_to_complete_lattice_Inf [C : complete_lattice_Sup A] : complete_lattice_Inf A :=
⦃ complete_lattice_Inf, C ⦄
-- Every complete_lattice_Sup is a complete_lattice
section
local attribute complete_lattice_Sup_to_complete_lattice_Inf [instance]
definition complete_lattice_Sup_to_complete_lattice [instance] [C : complete_lattice_Sup A] : complete_lattice A :=
_
end
namespace complete_lattice
variable [C : complete_lattice A]
include C
prefix `⨅`:70 := Inf
prefix `⨆`:65 := Sup
infix ` ⊓ ` := inf
infix ` ⊔ ` := sup
variable {f : A → A}
premise (mono : ∀ x y : A, x ≤ y → f x ≤ f y)
theorem knaster_tarski : ∃ a, f a = a ∧ ∀ b, f b = b → a ≤ b :=
let a := ⨅ {u | f u ≤ u} in
have h₁ : f a = a, from
have ge : f a ≤ a, from
have ∀ b, b ∈ {u | f u ≤ u} → f a ≤ b, from
take b, suppose f b ≤ b,
have a ≤ b, from Inf_le this,
have f a ≤ f b, from !mono this,
le.trans `f a ≤ f b` `f b ≤ b`,
le_Inf this,
have le : a ≤ f a, from
have f (f a) ≤ f a, from !mono ge,
have f a ∈ {u | f u ≤ u}, from this,
Inf_le this,
le.antisymm ge le,
have h₂ : ∀ b, f b = b → a ≤ b, from
take b,
suppose f b = b,
have b ∈ {u | f u ≤ u}, from
show f b ≤ b, by rewrite this; apply le.refl,
Inf_le this,
exists.intro a (and.intro h₁ h₂)
theorem knaster_tarski_dual : ∃ a, f a = a ∧ ∀ b, f b = b → b ≤ a :=
let a := ⨆ {u | u ≤ f u} in
have h₁ : f a = a, from
have le : a ≤ f a, from
have ∀ b, b ∈ {u | u ≤ f u} → b ≤ f a, from
take b, suppose b ≤ f b,
have b ≤ a, from le_Sup this,
have f b ≤ f a, from !mono this,
le.trans `b ≤ f b` `f b ≤ f a`,
Sup_le this,
have ge : f a ≤ a, from
have f a ≤ f (f a), from !mono le,
have f a ∈ {u | u ≤ f u}, from this,
le_Sup this,
le.antisymm ge le,
have h₂ : ∀ b, f b = b → b ≤ a, from
take b,
suppose f b = b,
have b ≤ f b, by rewrite this; apply le.refl,
le_Sup this,
exists.intro a (and.intro h₁ h₂)
definition bot : A := ⨅ univ
definition top : A := ⨆ univ
notation `⊥` := bot
notation `⊤` := top
lemma bot_le (a : A) : ⊥ ≤ a :=
Inf_le !mem_univ
lemma eq_bot {a : A} : (∀ b, a ≤ b) → a = ⊥ :=
assume h,
have a ≤ ⊥, from le_Inf (take b bin, h b),
le.antisymm this !bot_le
lemma le_top (a : A) : a ≤ ⊤ :=
le_Sup !mem_univ
lemma eq_top {a : A} : (∀ b, b ≤ a) → a = ⊤ :=
assume h,
have ⊤ ≤ a, from Sup_le (take b bin, h b),
le.antisymm !le_top this
lemma Inf_singleton {a : A} : ⨅'{a} = a :=
have ⨅'{a} ≤ a, from
Inf_le !mem_insert,
have a ≤ ⨅'{a}, from
le_Inf (take b, suppose b ∈ '{a}, assert b = a, from eq_of_mem_singleton this, by rewrite this; apply le.refl),
le.antisymm `⨅'{a} ≤ a` `a ≤ ⨅'{a}`
lemma Sup_singleton {a : A} : ⨆'{a} = a :=
have ⨆'{a} ≤ a, from
Sup_le (take b, suppose b ∈ '{a}, assert b = a, from eq_of_mem_singleton this, by rewrite this; apply le.refl),
have a ≤ ⨆'{a}, from
le_Sup !mem_insert,
le.antisymm `⨆'{a} ≤ a` `a ≤ ⨆'{a}`
lemma Inf_antimono {s₁ s₂ : set A} : s₁ ⊆ s₂ → ⨅ s₂ ≤ ⨅ s₁ :=
suppose s₁ ⊆ s₂, le_Inf (take a : A, suppose a ∈ s₁, Inf_le (mem_of_subset_of_mem `s₁ ⊆ s₂` `a ∈ s₁`))
lemma Sup_mono {s₁ s₂ : set A} : s₁ ⊆ s₂ → ⨆ s₁ ≤ ⨆ s₂ :=
suppose s₁ ⊆ s₂, Sup_le (take a : A, suppose a ∈ s₁, le_Sup (mem_of_subset_of_mem `s₁ ⊆ s₂` `a ∈ s₁`))
lemma Inf_union (s₁ s₂ : set A) : ⨅ (s₁ ∪ s₂) = (⨅s₁) ⊓ (⨅s₂) :=
have le₁ : ⨅ (s₁ ∪ s₂) ≤ (⨅s₁) ⊓ (⨅s₂), from
!le_inf
(le_Inf (take a : A, suppose a ∈ s₁, Inf_le (mem_unionl `a ∈ s₁`)))
(le_Inf (take a : A, suppose a ∈ s₂, Inf_le (mem_unionr `a ∈ s₂`))),
have le₂ : (⨅s₁) ⊓ (⨅s₂) ≤ ⨅ (s₁ ∪ s₂), from
le_Inf (take a : A, suppose a ∈ s₁ ∪ s₂,
or.elim this
(suppose a ∈ s₁,
have (⨅s₁) ⊓ (⨅s₂) ≤ ⨅s₁, from !inf_le_left,
have ⨅s₁ ≤ a, from Inf_le `a ∈ s₁`,
le.trans `(⨅s₁) ⊓ (⨅s₂) ≤ ⨅s₁` `⨅s₁ ≤ a`)
(suppose a ∈ s₂,
have (⨅s₁) ⊓ (⨅s₂) ≤ ⨅s₂, from !inf_le_right,
have ⨅s₂ ≤ a, from Inf_le `a ∈ s₂`,
le.trans `(⨅s₁) ⊓ (⨅s₂) ≤ ⨅s₂` `⨅s₂ ≤ a`)),
le.antisymm le₁ le₂
lemma Sup_union (s₁ s₂ : set A) : ⨆ (s₁ ∪ s₂) = (⨆s₁) ⊔ (⨆s₂) :=
have le₁ : ⨆ (s₁ ∪ s₂) ≤ (⨆s₁) ⊔ (⨆s₂), from
Sup_le (take a : A, suppose a ∈ s₁ ∪ s₂,
or.elim this
(suppose a ∈ s₁,
have a ≤ ⨆s₁, from le_Sup `a ∈ s₁`,
have ⨆s₁ ≤ (⨆s₁) ⊔ (⨆s₂), from !le_sup_left,
le.trans `a ≤ ⨆s₁` `⨆s₁ ≤ (⨆s₁) ⊔ (⨆s₂)`)
(suppose a ∈ s₂,
have a ≤ ⨆s₂, from le_Sup `a ∈ s₂`,
have ⨆s₂ ≤ (⨆s₁) ⊔ (⨆s₂), from !le_sup_right,
le.trans `a ≤ ⨆s₂` `⨆s₂ ≤ (⨆s₁) ⊔ (⨆s₂)`)),
have le₂ : (⨆s₁) ⊔ (⨆s₂) ≤ ⨆ (s₁ ∪ s₂), from
!sup_le
(Sup_le (take a : A, suppose a ∈ s₁, le_Sup (mem_unionl `a ∈ s₁`)))
(Sup_le (take a : A, suppose a ∈ s₂, le_Sup (mem_unionr `a ∈ s₂`))),
le.antisymm le₁ le₂
lemma Inf_empty_eq_Sup_univ : ⨅ (∅ : set A) = ⨆ univ :=
have le₁ : ⨅ ∅ ≤ ⨆ univ, from
le_Sup !mem_univ,
have le₂ : ⨆ univ ≤ ⨅ ∅, from
le_Inf (take a, suppose a ∈ ∅, absurd this !not_mem_empty),
le.antisymm le₁ le₂
lemma Sup_empty_eq_Inf_univ : ⨆ (∅ : set A) = ⨅ univ :=
have le₁ : ⨆ (∅ : set A) ≤ ⨅ univ, from
Sup_le (take a, suppose a ∈ ∅, absurd this !not_mem_empty),
have le₂ : ⨅ univ ≤ ⨆ (∅ : set A), from
Inf_le !mem_univ,
le.antisymm le₁ le₂
end complete_lattice
end algebra
|
326628184d7582fff9c1be8bbb7b5bbc6d606918 | 8cae430f0a71442d02dbb1cbb14073b31048e4b0 | /src/ring_theory/localization/away/basic.lean | 417bfe02d192c514d7549b78922b3c0fa509ff9a | [
"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 | 11,991 | lean | /-
Copyright (c) 2018 Kenny Lau. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Kenny Lau, Mario Carneiro, Johan Commelin, Amelia Livingston, Anne Baanen
-/
import ring_theory.unique_factorization_domain
import ring_theory.localization.basic
/-!
# Localizations away from an element
> THIS FILE IS SYNCHRONIZED WITH MATHLIB4.
> Any changes to this file require a corresponding PR to mathlib4.
## Main definitions
* `is_localization.away (x : R) S` expresses that `S` is a localization away from `x`, as an
abbreviation of `is_localization (submonoid.powers x) S`
* `exists_reduced_fraction (hb : b ≠ 0)` produces a reduced fraction of the form `b = a * x^n` for
some `n : ℤ` and some `a : R` that is not divisible by `x`.
## Implementation notes
See `src/ring_theory/localization/basic.lean` for a design overview.
## Tags
localization, ring localization, commutative ring localization, characteristic predicate,
commutative ring, field of fractions
-/
section comm_semiring
variables {R : Type*} [comm_semiring R] (M : submonoid R) {S : Type*} [comm_semiring S]
variables [algebra R S] {P : Type*} [comm_semiring P]
namespace is_localization
section away
variables (x : R)
/-- Given `x : R`, the typeclass `is_localization.away x S` states that `S` is
isomorphic to the localization of `R` at the submonoid generated by `x`. -/
abbreviation away (S : Type*) [comm_semiring S] [algebra R S] :=
is_localization (submonoid.powers x) S
namespace away
variables [is_localization.away x S]
/-- Given `x : R` and a localization map `F : R →+* S` away from `x`, `inv_self` is `(F x)⁻¹`. -/
noncomputable def inv_self : S :=
mk' S (1 : R) ⟨x, submonoid.mem_powers _⟩
@[simp] lemma mul_inv_self : algebra_map R S x * inv_self x = 1 :=
by { convert is_localization.mk'_mul_mk'_eq_one _ 1, symmetry, apply is_localization.mk'_one }
variables {g : R →+* P}
/-- Given `x : R`, a localization map `F : R →+* S` away from `x`, and a map of `comm_semiring`s
`g : R →+* P` such that `g x` is invertible, the homomorphism induced from `S` to `P` sending
`z : S` to `g y * (g x)⁻ⁿ`, where `y : R, n : ℕ` are such that `z = F y * (F x)⁻ⁿ`. -/
noncomputable def lift (hg : is_unit (g x)) : S →+* P :=
is_localization.lift $ λ (y : submonoid.powers x), show is_unit (g y.1),
begin
obtain ⟨n, hn⟩ := y.2,
rw [←hn, g.map_pow],
exact is_unit.map (pow_monoid_hom n : P →* P) hg,
end
@[simp] lemma away_map.lift_eq (hg : is_unit (g x)) (a : R) :
lift x hg ((algebra_map R S) a) = g a := lift_eq _ _
@[simp] lemma away_map.lift_comp (hg : is_unit (g x)) :
(lift x hg).comp (algebra_map R S) = g := lift_comp _
/-- Given `x y : R` and localizations `S`, `P` away from `x` and `x * y`
respectively, the homomorphism induced from `S` to `P`. -/
noncomputable def away_to_away_right (y : R) [algebra R P] [is_localization.away (x * y) P] :
S →+* P :=
lift x $ show is_unit ((algebra_map R P) x), from
is_unit_of_mul_eq_one ((algebra_map R P) x) (mk' P y ⟨x * y, submonoid.mem_powers _⟩) $
by rw [mul_mk'_eq_mk'_of_mul, mk'_self]
variables (S) (Q : Type*) [comm_semiring Q] [algebra P Q]
/-- Given a map `f : R →+* S` and an element `r : R`, we may construct a map `Rᵣ →+* Sᵣ`. -/
noncomputable
def map (f : R →+* P) (r : R) [is_localization.away r S]
[is_localization.away (f r) Q] : S →+* Q :=
is_localization.map Q f
(show submonoid.powers r ≤ (submonoid.powers (f r)).comap f,
by { rintros x ⟨n, rfl⟩, use n, simp })
end away
end away
variables [is_localization M S]
section at_units
variables (R) (S) (M)
/-- The localization at a module of units is isomorphic to the ring -/
noncomputable
def at_units (H : ∀ x : M, is_unit (x : R)) : R ≃ₐ[R] S :=
begin
refine alg_equiv.of_bijective (algebra.of_id R S) ⟨_, _⟩,
{ intros x y hxy,
obtain ⟨c, eq⟩ := (is_localization.eq_iff_exists M S).mp hxy,
obtain ⟨u, hu⟩ := H c,
rwa [← hu, units.mul_right_inj] at eq },
{ intros y,
obtain ⟨⟨x, s⟩, eq⟩ := is_localization.surj M y,
obtain ⟨u, hu⟩ := H s,
use x * u.inv,
dsimp only [algebra.of_id, ring_hom.to_fun_eq_coe, alg_hom.coe_mk],
rw [ring_hom.map_mul, ← eq, ← hu, mul_assoc, ← ring_hom.map_mul],
simp }
end
/-- The localization away from a unit is isomorphic to the ring -/
noncomputable
def at_unit (x : R) (e : is_unit x) [is_localization.away x S] : R ≃ₐ[R] S :=
begin
apply at_units R (submonoid.powers x),
rintros ⟨xn, n, hxn⟩,
obtain ⟨u, hu⟩ := e,
rw is_unit_iff_exists_inv,
use u.inv ^ n,
simp[← hxn, ← hu, ← mul_pow]
end
/-- The localization at one is isomorphic to the ring. -/
noncomputable
def at_one [is_localization.away (1 : R) S] : R ≃ₐ[R] S :=
@at_unit R _ S _ _ (1 : R) is_unit_one _
lemma away_of_is_unit_of_bijective {R : Type*} (S : Type*) [comm_ring R] [comm_ring S]
[algebra R S] {r : R} (hr : is_unit r) (H : function.bijective (algebra_map R S)) :
is_localization.away r S :=
{ map_units := by { rintros ⟨_, n, rfl⟩, exact (algebra_map R S).is_unit_map (hr.pow _) },
surj := λ z, by { obtain ⟨z', rfl⟩ := H.2 z, exact ⟨⟨z', 1⟩, by simp⟩ },
eq_iff_exists := λ x y, begin
erw H.1.eq_iff,
split,
{ rintro rfl, exact ⟨1, rfl⟩ },
{ rintro ⟨⟨_, n, rfl⟩, e⟩, exact (hr.pow _).mul_right_inj.mp e }
end }
end at_units
end is_localization
namespace localization
open is_localization
variables {M}
/-- Given a map `f : R →+* S` and an element `r : R`, such that `f r` is invertible,
we may construct a map `Rᵣ →+* S`. -/
noncomputable
abbreviation away_lift (f : R →+* P) (r : R) (hr : is_unit (f r)) :
localization.away r →+* P :=
is_localization.away.lift r hr
/-- Given a map `f : R →+* S` and an element `r : R`, we may construct a map `Rᵣ →+* Sᵣ`. -/
noncomputable
abbreviation away_map (f : R →+* P) (r : R) :
localization.away r →+* localization.away (f r) :=
is_localization.away.map _ _ f r
end localization
end comm_semiring
open localization
variables {R : Type*} [comm_ring R]
section num_denom
open unique_factorization_monoid is_localization
variable (x : R)
variables (B : Type*) [comm_ring B] [algebra R B] [is_localization.away x B]
/-- `self_zpow x (m : ℤ)` is `x ^ m` as an element of the localization away from `x`. -/
noncomputable def self_zpow (m : ℤ) : B :=
if hm : 0 ≤ m
then algebra_map _ _ x ^ m.nat_abs
else mk' _ (1 : R) (submonoid.pow x m.nat_abs)
lemma self_zpow_of_nonneg {n : ℤ} (hn : 0 ≤ n) : self_zpow x B n =
algebra_map R B x ^ n.nat_abs :=
dif_pos hn
@[simp] lemma self_zpow_coe_nat (d : ℕ) : self_zpow x B d = (algebra_map R B x)^d :=
self_zpow_of_nonneg _ _ (int.coe_nat_nonneg d)
@[simp] lemma self_zpow_zero : self_zpow x B 0 = 1 :=
by simp [self_zpow_of_nonneg _ _ le_rfl]
lemma self_zpow_of_neg {n : ℤ} (hn : n < 0) :
self_zpow x B n = mk' _ (1 : R) (submonoid.pow x n.nat_abs) :=
dif_neg hn.not_le
lemma self_zpow_of_nonpos {n : ℤ} (hn : n ≤ 0) :
self_zpow x B n = mk' _ (1 : R) (submonoid.pow x n.nat_abs) :=
begin
by_cases hn0 : n = 0,
{ simp [hn0, self_zpow_zero, submonoid.pow_apply] },
{ simp [self_zpow_of_neg _ _ (lt_of_le_of_ne hn hn0)] }
end
@[simp] lemma self_zpow_neg_coe_nat (d : ℕ) :
self_zpow x B (-d) = mk' _ (1 : R) (submonoid.pow x d) :=
by simp [self_zpow_of_nonpos _ _ (neg_nonpos.mpr (int.coe_nat_nonneg d))]
@[simp] lemma self_zpow_sub_cast_nat {n m : ℕ} :
self_zpow x B (n - m) = mk' _ (x ^ n) (submonoid.pow x m) :=
begin
by_cases h : m ≤ n,
{ rw [is_localization.eq_mk'_iff_mul_eq, submonoid.pow_apply, subtype.coe_mk,
← int.coe_nat_sub h, self_zpow_coe_nat, ← map_pow, ← map_mul, ← pow_add,
nat.sub_add_cancel h] },
{ rw [← neg_sub, ← int.coe_nat_sub (le_of_not_le h), self_zpow_neg_coe_nat,
is_localization.mk'_eq_iff_eq],
simp [submonoid.pow_apply, ← pow_add, nat.sub_add_cancel (le_of_not_le h)] }
end
@[simp] lemma self_zpow_add {n m : ℤ} :
self_zpow x B (n + m) = self_zpow x B n * self_zpow x B m :=
begin
cases le_or_lt 0 n with hn hn; cases le_or_lt 0 m with hm hm,
{ rw [self_zpow_of_nonneg _ _ hn, self_zpow_of_nonneg _ _ hm,
self_zpow_of_nonneg _ _ (add_nonneg hn hm), int.nat_abs_add_nonneg hn hm, pow_add] },
{ have : n + m = n.nat_abs - m.nat_abs,
{ rw [int.nat_abs_of_nonneg hn, int.of_nat_nat_abs_of_nonpos hm.le, sub_neg_eq_add] },
rw [self_zpow_of_nonneg _ _ hn, self_zpow_of_neg _ _ hm,
this, self_zpow_sub_cast_nat, is_localization.mk'_eq_mul_mk'_one, map_pow] },
{ have : n + m = m.nat_abs - n.nat_abs,
{ rw [int.nat_abs_of_nonneg hm, int.of_nat_nat_abs_of_nonpos hn.le, sub_neg_eq_add, add_comm] },
rw [self_zpow_of_nonneg _ _ hm, self_zpow_of_neg _ _ hn,
this, self_zpow_sub_cast_nat, is_localization.mk'_eq_mul_mk'_one, map_pow, mul_comm] },
{ rw [self_zpow_of_neg _ _ hn, self_zpow_of_neg _ _ hm, self_zpow_of_neg _ _ (add_neg hn hm),
int.nat_abs_add_neg hn hm, ← mk'_mul, one_mul],
congr,
ext,
simp [pow_add] },
end
lemma self_zpow_mul_neg (d : ℤ) : self_zpow x B d * self_zpow x B (-d) = 1 :=
begin
by_cases hd : d ≤ 0,
{ erw [self_zpow_of_nonpos x B hd, self_zpow_of_nonneg, ← map_pow, int.nat_abs_neg,
is_localization.mk'_spec, map_one],
apply nonneg_of_neg_nonpos,
rwa [neg_neg]},
{ erw [self_zpow_of_nonneg x B (le_of_not_le hd), self_zpow_of_nonpos, ← map_pow, int.nat_abs_neg,
@is_localization.mk'_spec' R _ (submonoid.powers x) B _ _ _ 1 (submonoid.pow x d.nat_abs),
map_one],
refine nonpos_of_neg_nonneg (le_of_lt _),
rwa [neg_neg, ← not_le] },
end
lemma self_zpow_neg_mul (d : ℤ) : self_zpow x B (-d) * self_zpow x B d = 1 :=
by rw [mul_comm, self_zpow_mul_neg x B d]
lemma self_zpow_pow_sub (a : R) (b : B) (m d : ℤ) :
(self_zpow x B (m - d)) * mk' B a (1 : submonoid.powers x) = b ↔
(self_zpow x B m) * mk' B a (1 : submonoid.powers x) = (self_zpow x B d) * b :=
begin
rw [sub_eq_add_neg, self_zpow_add, mul_assoc, mul_comm _ (mk' B a 1), ← mul_assoc],
split,
{ intro h,
have := congr_arg (λ s : B, s * self_zpow x B d) h,
simp only at this,
rwa [mul_assoc, mul_assoc, self_zpow_neg_mul, mul_one, mul_comm b _] at this},
{ intro h,
have := congr_arg (λ s : B, s * self_zpow x B (-d)) h,
simp only at this,
rwa [mul_comm _ b, mul_assoc b _ _, self_zpow_mul_neg, mul_one] at this}
end
variables [is_domain R] [normalization_monoid R] [unique_factorization_monoid R]
theorem exists_reduced_fraction' {b : B} (hb : b ≠ 0) (hx : irreducible x) :
∃ (a : R) (n : ℤ), ¬ x ∣ a ∧
self_zpow x B n * algebra_map R B a = b :=
begin
classical,
obtain ⟨⟨a₀, y⟩, H⟩ := surj (submonoid.powers x) b,
obtain ⟨d, hy⟩ := (submonoid.mem_powers_iff y.1 x).mp y.2,
have ha₀ : a₀ ≠ 0,
{ haveI := @is_domain_of_le_non_zero_divisors B _ R _ _ _ (submonoid.powers x) _
(powers_le_non_zero_divisors_of_no_zero_divisors hx.ne_zero),
simp only [map_zero, ← subtype.val_eq_coe, ← hy, map_pow] at H,
apply ((injective_iff_map_eq_zero' (algebra_map R B)).mp _ a₀).mpr.mt,
rw ← H,
apply mul_ne_zero hb (pow_ne_zero _ _),
exact is_localization.to_map_ne_zero_of_mem_non_zero_divisors B
(powers_le_non_zero_divisors_of_no_zero_divisors (hx.ne_zero))
(mem_non_zero_divisors_iff_ne_zero.mpr hx.ne_zero),
exact is_localization.injective B (powers_le_non_zero_divisors_of_no_zero_divisors
(hx.ne_zero)) },
simp only [← subtype.val_eq_coe, ← hy] at H,
obtain ⟨m, a, hyp1, hyp2⟩ := max_power_factor ha₀ hx,
refine ⟨a, m-d, _⟩,
rw [← mk'_one B, self_zpow_pow_sub, self_zpow_coe_nat, self_zpow_coe_nat, ← map_pow _ _ d,
mul_comm _ b, H, hyp2, map_mul, map_pow _ _ m],
exact ⟨hyp1, (congr_arg _ (is_localization.mk'_one _ _))⟩,
end
end num_denom
|
334da62b95b24523885d7e542b339532116b5f46 | d1a52c3f208fa42c41df8278c3d280f075eb020c | /tests/lean/run/split3.lean | 1fc0342a95e60e35d7cc277349dc625fbcedfa18 | [
"Apache-2.0",
"LLVM-exception",
"NCSA",
"LGPL-3.0-only",
"LicenseRef-scancode-inner-net-2.0",
"BSD-3-Clause",
"LGPL-2.0-or-later",
"Spencer-94",
"LGPL-2.1-or-later",
"HPND",
"LicenseRef-scancode-pcre",
"ISC",
"LGPL-2.1-only",
"LicenseRef-scancode-other-permissive",
"SunPro",
"CMU-Mach"... | permissive | cipher1024/lean4 | 6e1f98bb58e7a92b28f5364eb38a14c8d0aae393 | 69114d3b50806264ef35b57394391c3e738a9822 | refs/heads/master | 1,642,227,983,603 | 1,642,011,696,000 | 1,642,011,696,000 | 228,607,691 | 0 | 0 | Apache-2.0 | 1,576,584,269,000 | 1,576,584,268,000 | null | UTF-8 | Lean | false | false | 1,039 | lean | def g (xs ys : List Nat) : Nat :=
match xs, ys with
| [a, b], _ => Nat.succ (a+b)
| _, [b, c] => Nat.succ b
| _, _ => 1
example (a b : Bool) (x y z : Nat) (xs : List Nat) (h1 : (if a then x else y) = 0) (h2 : xs.head! = 0) : g [x] xs = 1 := by
simp [g]
repeat any_goals (split at *)
any_goals (first | decide | contradiction | injections)
next b c _ _ _ =>
show Nat.succ b = 1
subst xs; simp [List.head!] at h2; simp [h2]
next b c _ _ _ =>
show Nat.succ b = 1
subst xs; simp [List.head!] at h2; simp [h2]
example (a : Bool) (h1 : (if a then x else y) = 1) : x + y > 0 := by
split at h1
. subst h1; rw [Nat.succ_add]; apply Nat.zero_lt_succ
. subst h1; apply Nat.zero_lt_succ
def f (x : Nat) : Nat :=
match x with
| 100 => 0
| 200 => 0
| _ => 1
example (h1 : f x = 0) (h2 : x > 300) : False := by
simp [f] at h1
split at h1
. contradiction
. contradiction
. contradiction
example (h1 : f x = 0) (h2 : x > 300) : False := by
simp [f] at h1
split at h1 <;> contradiction
|
927923652ba0592f23cd3f2e3b2ecf1e9742df74 | 69d4931b605e11ca61881fc4f66db50a0a875e39 | /src/data/equiv/list.lean | 9be6618acb567dea891bd85510dd055f7c0148da | [
"Apache-2.0"
] | permissive | abentkamp/mathlib | d9a75d291ec09f4637b0f30cc3880ffb07549ee5 | 5360e476391508e092b5a1e5210bd0ed22dc0755 | refs/heads/master | 1,682,382,954,948 | 1,622,106,077,000 | 1,622,106,077,000 | 149,285,665 | 0 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 10,846 | lean | /-
Copyright (c) 2018 Mario Carneiro. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Mario Carneiro
Additional equiv and encodable instances for lists, finsets, and fintypes.
-/
import data.equiv.denumerable
import data.finset.sort
open nat list
namespace encodable
variables {α : Type*}
section list
variable [encodable α]
def encode_list : list α → ℕ
| [] := 0
| (a::l) := succ (mkpair (encode a) (encode_list l))
def decode_list : ℕ → option (list α)
| 0 := some []
| (succ v) := match unpair v, unpair_le_right v with
| (v₁, v₂), h :=
have v₂ < succ v, from lt_succ_of_le h,
(::) <$> decode α v₁ <*> decode_list v₂
end
instance list : encodable (list α) :=
⟨encode_list, decode_list, λ l,
by induction l with a l IH; simp [encode_list, decode_list, unpair_mkpair, encodek, *]⟩
@[simp] theorem encode_list_nil : encode (@nil α) = 0 := rfl
@[simp] theorem encode_list_cons (a : α) (l : list α) :
encode (a :: l) = succ (mkpair (encode a) (encode l)) := rfl
@[simp] theorem decode_list_zero : decode (list α) 0 = some [] :=
show decode_list 0 = some [], by rw decode_list
@[simp] theorem decode_list_succ (v : ℕ) :
decode (list α) (succ v) =
(::) <$> decode α v.unpair.1 <*> decode (list α) v.unpair.2 :=
show decode_list (succ v) = _, begin
cases e : unpair v with v₁ v₂,
simp [decode_list, e], refl
end
theorem length_le_encode : ∀ (l : list α), length l ≤ encode l
| [] := _root_.zero_le _
| (a :: l) := succ_le_succ $
le_trans (length_le_encode l) (le_mkpair_right _ _)
end list
section finset
variables [encodable α]
private def enle : α → α → Prop := encode ⁻¹'o (≤)
private lemma enle.is_linear_order : is_linear_order α enle :=
(rel_embedding.preimage ⟨encode, encode_injective⟩ (≤)).is_linear_order
private def decidable_enle (a b : α) : decidable (enle a b) :=
by unfold enle order.preimage; apply_instance
local attribute [instance] enle.is_linear_order decidable_enle
def encode_multiset (s : multiset α) : ℕ :=
encode (s.sort enle)
def decode_multiset (n : ℕ) : option (multiset α) :=
coe <$> decode (list α) n
instance multiset : encodable (multiset α) :=
⟨encode_multiset, decode_multiset,
λ s, by simp [encode_multiset, decode_multiset, encodek]⟩
end finset
def encodable_of_list [decidable_eq α] (l : list α) (H : ∀ x, x ∈ l) : encodable α :=
⟨λ a, index_of a l, l.nth, λ a, index_of_nth (H _)⟩
def trunc_encodable_of_fintype (α : Type*) [decidable_eq α] [fintype α] : trunc (encodable α) :=
@@quot.rec_on_subsingleton _
(λ s : multiset α, (∀ x:α, x ∈ s) → trunc (encodable α)) _
finset.univ.1
(λ l H, trunc.mk $ encodable_of_list l H)
finset.mem_univ
/-- A noncomputable way to arbitrarily choose an ordering on a finite type.
It is not made into a global instance, since it involves an arbitrary choice.
This can be locally made into an instance with `local attribute [instance] fintype.encodable`. -/
noncomputable def fintype.encodable (α : Type*) [fintype α] : encodable α :=
by { classical, exact (encodable.trunc_encodable_of_fintype α).out }
instance vector [encodable α] {n} : encodable (vector α n) :=
encodable.subtype
instance fin_arrow [encodable α] {n} : encodable (fin n → α) :=
of_equiv _ (equiv.vector_equiv_fin _ _).symm
instance fin_pi (n) (π : fin n → Type*) [∀i, encodable (π i)] : encodable (Πi, π i) :=
of_equiv _ (equiv.pi_equiv_subtype_sigma (fin n) π)
instance array [encodable α] {n} : encodable (array n α) :=
of_equiv _ (equiv.array_equiv_fin _ _)
instance finset [encodable α] : encodable (finset α) :=
by haveI := decidable_eq_of_encodable α; exact
of_equiv {s : multiset α // s.nodup}
⟨λ ⟨a, b⟩, ⟨a, b⟩, λ⟨a, b⟩, ⟨a, b⟩, λ ⟨a, b⟩, rfl, λ⟨a, b⟩, rfl⟩
def fintype_arrow (α : Type*) (β : Type*) [decidable_eq α] [fintype α] [encodable β] :
trunc (encodable (α → β)) :=
(fintype.trunc_equiv_fin α).map $
λf, encodable.of_equiv (fin (fintype.card α) → β) $
equiv.arrow_congr f (equiv.refl _)
def fintype_pi (α : Type*) (π : α → Type*) [decidable_eq α] [fintype α] [∀a, encodable (π a)] :
trunc (encodable (Πa, π a)) :=
(encodable.trunc_encodable_of_fintype α).bind $ λa,
(@fintype_arrow α (Σa, π a) _ _ (@encodable.sigma _ _ a _)).bind $ λf,
trunc.mk $ @encodable.of_equiv _ _ (@encodable.subtype _ _ f _) (equiv.pi_equiv_subtype_sigma α π)
/-- The elements of a `fintype` as a sorted list. -/
def sorted_univ (α) [fintype α] [encodable α] : list α :=
finset.univ.sort (encodable.encode' α ⁻¹'o (≤))
theorem mem_sorted_univ {α} [fintype α] [encodable α] (x : α) : x ∈ sorted_univ α :=
(finset.mem_sort _).2 (finset.mem_univ _)
theorem length_sorted_univ {α} [fintype α] [encodable α] :
(sorted_univ α).length = fintype.card α :=
finset.length_sort _
theorem sorted_univ_nodup {α} [fintype α] [encodable α] : (sorted_univ α).nodup :=
finset.sort_nodup _ _
/-- An encodable `fintype` is equivalent a `fin`.-/
def fintype_equiv_fin {α} [fintype α] [encodable α] :
α ≃ fin (fintype.card α) :=
begin
haveI : decidable_eq α := encodable.decidable_eq_of_encodable _,
transitivity,
{ exact fintype.equiv_fin_of_forall_mem_list mem_sorted_univ (@sorted_univ_nodup α _ _) },
exact equiv.cast (congr_arg _ (@length_sorted_univ α _ _))
end
instance fintype_arrow_of_encodable {α β : Type*} [encodable α] [fintype α] [encodable β] :
encodable (α → β) :=
of_equiv (fin (fintype.card α) → β) $ equiv.arrow_congr fintype_equiv_fin (equiv.refl _)
end encodable
namespace denumerable
variables {α : Type*} {β : Type*} [denumerable α] [denumerable β]
open encodable
section list
theorem denumerable_list_aux : ∀ n : ℕ,
∃ a ∈ @decode_list α _ n, encode_list a = n
| 0 := by rw decode_list; exact ⟨_, rfl, rfl⟩
| (succ v) := begin
cases e : unpair v with v₁ v₂,
have h := unpair_le_right v,
rw e at h,
rcases have v₂ < succ v, from lt_succ_of_le h,
denumerable_list_aux v₂ with ⟨a, h₁, h₂⟩,
simp at h₁,
simp [decode_list, e, h₂, h₁, encode_list, mkpair_unpair' e]
end
instance denumerable_list : denumerable (list α) := ⟨denumerable_list_aux⟩
@[simp] theorem list_of_nat_zero : of_nat (list α) 0 = [] :=
by rw [← @encode_list_nil α, of_nat_encode]
@[simp] theorem list_of_nat_succ (v : ℕ) :
of_nat (list α) (succ v) =
of_nat α v.unpair.1 :: of_nat (list α) v.unpair.2 :=
of_nat_of_decode $ show decode_list (succ v) = _,
begin
cases e : unpair v with v₁ v₂,
simp [decode_list, e],
rw [show decode_list v₂ = decode (list α) v₂,
from rfl, decode_eq_of_nat]; refl
end
end list
section multiset
def lower : list ℕ → ℕ → list ℕ
| [] n := []
| (m :: l) n := (m - n) :: lower l m
def raise : list ℕ → ℕ → list ℕ
| [] n := []
| (m :: l) n := (m + n) :: raise l (m + n)
lemma lower_raise : ∀ l n, lower (raise l n) n = l
| [] n := rfl
| (m :: l) n := by simp [raise, lower, nat.add_sub_cancel, lower_raise]
lemma raise_lower : ∀ {l n}, list.sorted (≤) (n :: l) → raise (lower l n) n = l
| [] n h := rfl
| (m :: l) n h :=
have n ≤ m, from list.rel_of_sorted_cons h _ (l.mem_cons_self _),
by simp [raise, lower, nat.sub_add_cancel this,
raise_lower (list.sorted_of_sorted_cons h)]
lemma raise_chain : ∀ l n, list.chain (≤) n (raise l n)
| [] n := list.chain.nil
| (m :: l) n := list.chain.cons (nat.le_add_left _ _) (raise_chain _ _)
lemma raise_sorted : ∀ l n, list.sorted (≤) (raise l n)
| [] n := list.sorted_nil
| (m :: l) n := (list.chain_iff_pairwise (@le_trans _ _)).1 (raise_chain _ _)
/- Warning: this is not the same encoding as used in `encodable` -/
instance multiset : denumerable (multiset α) := mk' ⟨
λ s : multiset α, encode $ lower ((s.map encode).sort (≤)) 0,
λ n, multiset.map (of_nat α) (raise (of_nat (list ℕ) n) 0),
λ s, by have := raise_lower
(list.sorted_cons.2 ⟨λ n _, zero_le n, (s.map encode).sort_sorted _⟩);
simp [-multiset.coe_map, this],
λ n, by simp [-multiset.coe_map, list.merge_sort_eq_self _ (raise_sorted _ _), lower_raise]⟩
end multiset
section finset
def lower' : list ℕ → ℕ → list ℕ
| [] n := []
| (m :: l) n := (m - n) :: lower' l (m + 1)
def raise' : list ℕ → ℕ → list ℕ
| [] n := []
| (m :: l) n := (m + n) :: raise' l (m + n + 1)
lemma lower_raise' : ∀ l n, lower' (raise' l n) n = l
| [] n := rfl
| (m :: l) n := by simp [raise', lower', nat.add_sub_cancel, lower_raise']
lemma raise_lower' : ∀ {l n}, (∀ m ∈ l, n ≤ m) → list.sorted (<) l → raise' (lower' l n) n = l
| [] n h₁ h₂ := rfl
| (m :: l) n h₁ h₂ :=
have n ≤ m, from h₁ _ (l.mem_cons_self _),
by simp [raise', lower', nat.sub_add_cancel this, raise_lower'
(list.rel_of_sorted_cons h₂ : ∀ a ∈ l, m < a) (list.sorted_of_sorted_cons h₂)]
lemma raise'_chain : ∀ l {m n}, m < n → list.chain (<) m (raise' l n)
| [] m n h := list.chain.nil
| (a :: l) m n h := list.chain.cons
(lt_of_lt_of_le h (nat.le_add_left _ _)) (raise'_chain _ (lt_succ_self _))
lemma raise'_sorted : ∀ l n, list.sorted (<) (raise' l n)
| [] n := list.sorted_nil
| (m :: l) n := (list.chain_iff_pairwise (@lt_trans _ _)).1
(raise'_chain _ (lt_succ_self _))
def raise'_finset (l : list ℕ) (n : ℕ) : finset ℕ :=
⟨raise' l n, (raise'_sorted _ _).imp (@ne_of_lt _ _)⟩
/- Warning: this is not the same encoding as used in `encodable` -/
instance finset : denumerable (finset α) := mk' ⟨
λ s : finset α, encode $ lower' ((s.map (eqv α).to_embedding).sort (≤)) 0,
λ n, finset.map (eqv α).symm.to_embedding (raise'_finset (of_nat (list ℕ) n) 0),
λ s, finset.eq_of_veq $ by simp [-multiset.coe_map, raise'_finset,
raise_lower' (λ n _, zero_le n) (finset.sort_sorted_lt _)],
λ n, by simp [-multiset.coe_map, finset.map, raise'_finset, finset.sort,
list.merge_sort_eq_self (≤) ((raise'_sorted _ _).imp (@le_of_lt _ _)),
lower_raise']⟩
end finset
end denumerable
namespace equiv
/-- The type lists on unit is canonically equivalent to the natural numbers. -/
def list_unit_equiv : list unit ≃ ℕ :=
{ to_fun := list.length,
inv_fun := list.repeat (),
left_inv := λ u, list.length_injective (by simp),
right_inv := λ n, list.length_repeat () n }
def list_nat_equiv_nat : list ℕ ≃ ℕ := denumerable.eqv _
def list_equiv_self_of_equiv_nat {α : Type} (e : α ≃ ℕ) : list α ≃ α :=
calc list α ≃ list ℕ : list_equiv_of_equiv e
... ≃ ℕ : list_nat_equiv_nat
... ≃ α : e.symm
end equiv
|
f8b648de6b9459f497b7ee780eb4e21450ac8a17 | 94e33a31faa76775069b071adea97e86e218a8ee | /src/data/mv_polynomial/cardinal.lean | 26efd8f1a8b05fbd58dd9a74fd3f0ba97f98bf14 | [
"Apache-2.0"
] | permissive | urkud/mathlib | eab80095e1b9f1513bfb7f25b4fa82fa4fd02989 | 6379d39e6b5b279df9715f8011369a301b634e41 | refs/heads/master | 1,658,425,342,662 | 1,658,078,703,000 | 1,658,078,703,000 | 186,910,338 | 0 | 0 | Apache-2.0 | 1,568,512,083,000 | 1,557,958,709,000 | Lean | UTF-8 | Lean | false | false | 4,332 | lean | /-
Copyright (c) 2021 Chris Hughes. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Chris Hughes
-/
import data.W.cardinal
import data.mv_polynomial.basic
/-!
# Cardinality of Polynomial Ring
The main result in this file is `mv_polynomial.cardinal_mk_le_max`, which says that
the cardinality of `mv_polynomial σ R` is bounded above by the maximum of `#R`, `#σ`
and `ℵ₀`.
-/
universes u
/-
The definitions `mv_polynomial_fun` and `arity` are motivated by defining the following
inductive type as a `W_type` in order to be able to use theorems about the cardinality
of `W_type`.
inductive mv_polynomial_term (σ R : Type u) : Type u
| of_ring : R → mv_polynomial_term
| X : σ → mv_polynomial_term
| add : mv_polynomial_term → mv_polynomial_term → mv_polynomial_term
| mul : mv_polynomial_term → mv_polynomial_term → mv_polynomial_term
`W_type (arity σ R)` is isomorphic to the above type.
-/
open cardinal
open_locale cardinal
/-- A type used to prove theorems about the cardinality of `mv_polynomial σ R`. The
`W_type (arity σ R)` has a constant for every element of `R` and `σ` and two binary functions. -/
private def mv_polynomial_fun (σ R : Type u) : Type u :=
R ⊕ σ ⊕ ulift.{u} bool
variables (σ R : Type u)
/-- A function used to prove theorems about the cardinality of `mv_polynomial σ R`.
The type ``W_type (arity σ R)` has a constant for every element of `R` and `σ` and two binary
functions. -/
private def arity : mv_polynomial_fun σ R → Type u
| (sum.inl _) := pempty
| (sum.inr (sum.inl _)) := pempty
| (sum.inr (sum.inr ⟨ff⟩)) := ulift bool
| (sum.inr (sum.inr ⟨tt⟩)) := ulift bool
private def arity_fintype (x : mv_polynomial_fun σ R) : fintype (arity σ R x) :=
by rcases x with x | x | ⟨_ | _⟩; dsimp [arity]; apply_instance
local attribute [instance] arity_fintype
variables {σ R}
variables [comm_semiring R]
/-- The surjection from `W_type (arity σ R)` into `mv_polynomial σ R`. -/
private noncomputable def to_mv_polynomial :
W_type (arity σ R) → mv_polynomial σ R
| ⟨sum.inl r, _⟩ := mv_polynomial.C r
| ⟨sum.inr (sum.inl i), _⟩ := mv_polynomial.X i
| ⟨sum.inr (sum.inr ⟨ff⟩), f⟩ :=
to_mv_polynomial (f (ulift.up tt)) * to_mv_polynomial (f (ulift.up ff))
| ⟨sum.inr (sum.inr ⟨tt⟩), f⟩ :=
to_mv_polynomial (f (ulift.up tt)) + to_mv_polynomial (f (ulift.up ff))
private lemma to_mv_polynomial_surjective : function.surjective (@to_mv_polynomial σ R _) :=
begin
intro p,
induction p using mv_polynomial.induction_on with x p₁ p₂ ih₁ ih₂ p i ih,
{ exact ⟨W_type.mk (sum.inl x) pempty.elim, rfl⟩ },
{ rcases ih₁ with ⟨w₁, rfl⟩,
rcases ih₂ with ⟨w₂, rfl⟩,
exact ⟨W_type.mk (sum.inr (sum.inr ⟨tt⟩)) (λ x, cond x.down w₁ w₂),
by simp [to_mv_polynomial]⟩ },
{ rcases ih with ⟨w, rfl⟩,
exact ⟨W_type.mk (sum.inr (sum.inr ⟨ff⟩)) (λ x, cond x.down w (W_type.mk
(sum.inr (sum.inl i)) pempty.elim)), by simp [to_mv_polynomial]⟩ }
end
private lemma cardinal_mv_polynomial_fun_le : #(mv_polynomial_fun σ R) ≤ max (max (#R) (#σ)) ℵ₀ :=
calc #(mv_polynomial_fun σ R) = #R + #σ + #(ulift bool) :
by dsimp [mv_polynomial_fun]; simp only [← add_def, add_assoc, cardinal.mk_ulift]
... ≤ max (max (#R + #σ) (#(ulift bool))) ℵ₀ : add_le_max _ _
... ≤ max (max (max (max (#R) (#σ)) ℵ₀) (#(ulift bool))) ℵ₀ :
max_le_max (max_le_max (add_le_max _ _) le_rfl) le_rfl
... ≤ _ : by simp only [max_comm ℵ₀, max_assoc, max_left_comm ℵ₀, max_self,
max_eq_left (lt_aleph_0_of_finite (ulift.{u} bool)).le]
namespace mv_polynomial
/-- The cardinality of the multivariate polynomial ring, `mv_polynomial σ R` is at most the maximum
of `#R`, `#σ` and `ℵ₀` -/
lemma cardinal_mk_le_max {σ R : Type u} [comm_semiring R] :
#(mv_polynomial σ R) ≤ max (max (#R) (#σ)) ℵ₀ :=
calc #(mv_polynomial σ R) ≤ #(W_type (arity σ R)) :
cardinal.mk_le_of_surjective to_mv_polynomial_surjective
... ≤ max (#(mv_polynomial_fun σ R)) ℵ₀ : W_type.cardinal_mk_le_max_aleph_0_of_finite
... ≤ _ : max_le_max cardinal_mv_polynomial_fun_le le_rfl
... ≤ _ : by simp only [max_assoc, max_self]
end mv_polynomial
|
d99bb208a44e132a330e9916774adbb89956dab5 | d406927ab5617694ec9ea7001f101b7c9e3d9702 | /src/linear_algebra/clifford_algebra/grading.lean | d32e266c568e9dfdd78b5ede73bb3f5a25ab24a6 | [
"Apache-2.0"
] | permissive | alreadydone/mathlib | dc0be621c6c8208c581f5170a8216c5ba6721927 | c982179ec21091d3e102d8a5d9f5fe06c8fafb73 | refs/heads/master | 1,685,523,275,196 | 1,670,184,141,000 | 1,670,184,141,000 | 287,574,545 | 0 | 0 | Apache-2.0 | 1,670,290,714,000 | 1,597,421,623,000 | Lean | UTF-8 | Lean | false | false | 9,250 | 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.clifford_algebra.basic
import data.zmod.basic
import ring_theory.graded_algebra.basic
/-!
# Results about the grading structure of the clifford algebra
The main result is `clifford_algebra.graded_algebra`, which says that the clifford algebra is a
ℤ₂-graded algebra (or "superalgebra").
-/
namespace clifford_algebra
variables {R M : Type*} [comm_ring R] [add_comm_group M] [module R M]
variables {Q : quadratic_form R M}
open_locale direct_sum
variables (Q)
/-- The even or odd submodule, defined as the supremum of the even or odd powers of
`(ι Q).range`. `even_odd 0` is the even submodule, and `even_odd 1` is the odd submodule. -/
def even_odd (i : zmod 2) : submodule R (clifford_algebra Q) :=
⨆ (j : {n : ℕ // ↑n = i}), (ι Q).range ^ (j : ℕ)
lemma one_le_even_odd_zero : 1 ≤ even_odd Q 0 :=
begin
refine le_trans _ (le_supr _ ⟨0, nat.cast_zero⟩),
exact (pow_zero _).ge,
end
lemma range_ι_le_even_odd_one : (ι Q).range ≤ even_odd Q 1 :=
begin
refine le_trans _ (le_supr _ ⟨1, nat.cast_one⟩),
exact (pow_one _).ge,
end
lemma ι_mem_even_odd_one (m : M) : ι Q m ∈ even_odd Q 1 :=
range_ι_le_even_odd_one Q $ linear_map.mem_range_self _ m
lemma ι_mul_ι_mem_even_odd_zero (m₁ m₂ : M) :
ι Q m₁ * ι Q m₂ ∈ even_odd Q 0 :=
submodule.mem_supr_of_mem ⟨2, rfl⟩ begin
rw [subtype.coe_mk, pow_two],
exact submodule.mul_mem_mul (linear_map.mem_range_self (ι Q) m₁)
(linear_map.mem_range_self (ι Q) m₂)
end
lemma even_odd_mul_le (i j : zmod 2) : even_odd Q i * even_odd Q j ≤ even_odd Q (i + j) :=
begin
simp_rw [even_odd, submodule.supr_eq_span, submodule.span_mul_span],
apply submodule.span_mono,
intros z hz,
obtain ⟨x, y, hx, hy, rfl⟩ := hz,
obtain ⟨xi, hx'⟩ := set.mem_Union.mp hx,
obtain ⟨yi, hy'⟩ := set.mem_Union.mp hy,
refine set.mem_Union.mpr ⟨⟨xi + yi, by simp only [nat.cast_add, xi.prop, yi.prop]⟩, _⟩,
simp only [subtype.coe_mk, nat.cast_add, pow_add],
exact submodule.mul_mem_mul hx' hy',
end
instance even_odd.graded_monoid : set_like.graded_monoid (even_odd Q) :=
{ one_mem := submodule.one_le.mp (one_le_even_odd_zero Q),
mul_mem := λ i j p q hp hq, submodule.mul_le.mp (even_odd_mul_le Q _ _) _ hp _ hq }
/-- A version of `clifford_algebra.ι` that maps directly into the graded structure. This is
primarily an auxiliary construction used to provide `clifford_algebra.graded_algebra`. -/
def graded_algebra.ι : M →ₗ[R] ⨁ i : zmod 2, even_odd Q i :=
direct_sum.lof R (zmod 2) (λ i, ↥(even_odd Q i)) 1 ∘ₗ (ι Q).cod_restrict _ (ι_mem_even_odd_one Q)
lemma graded_algebra.ι_apply (m : M) :
graded_algebra.ι Q m = direct_sum.of (λ i, ↥(even_odd Q i)) 1 (⟨ι Q m, ι_mem_even_odd_one Q m⟩) :=
rfl
lemma graded_algebra.ι_sq_scalar (m : M) :
graded_algebra.ι Q m * graded_algebra.ι Q m = algebra_map R _ (Q m) :=
begin
rw [graded_algebra.ι_apply Q, direct_sum.of_mul_of, direct_sum.algebra_map_apply],
refine direct_sum.of_eq_of_graded_monoid_eq (sigma.subtype_ext rfl $ ι_sq_scalar _ _),
end
lemma graded_algebra.lift_ι_eq (i' : zmod 2) (x' : even_odd Q i') :
lift Q ⟨by apply graded_algebra.ι Q, graded_algebra.ι_sq_scalar Q⟩ x' =
direct_sum.of (λ i, even_odd Q i) i' x' :=
begin
cases x' with x' hx',
dsimp only [subtype.coe_mk, direct_sum.lof_eq_of],
refine submodule.supr_induction' _ (λ i x hx, _) _ (λ x y hx hy ihx ihy, _) hx',
{ obtain ⟨i, rfl⟩ := i,
dsimp only [subtype.coe_mk] at hx,
refine submodule.pow_induction_on_left' _
(λ r, _) (λ x y i hx hy ihx ihy, _) (λ m hm i x hx ih, _) hx,
{ rw [alg_hom.commutes, direct_sum.algebra_map_apply], refl },
{ rw [alg_hom.map_add, ihx, ihy, ←map_add], refl },
{ obtain ⟨_, rfl⟩ := hm,
rw [alg_hom.map_mul, ih, lift_ι_apply, graded_algebra.ι_apply Q, direct_sum.of_mul_of],
refine direct_sum.of_eq_of_graded_monoid_eq (sigma.subtype_ext _ _);
dsimp only [graded_monoid.mk, subtype.coe_mk],
{ rw [nat.succ_eq_add_one, add_comm, nat.cast_add, nat.cast_one] },
refl } },
{ rw alg_hom.map_zero,
apply eq.symm,
apply dfinsupp.single_eq_zero.mpr, refl, },
{ rw [alg_hom.map_add, ihx, ihy, ←map_add], refl },
end
/-- The clifford algebra is graded by the even and odd parts. -/
instance graded_algebra : graded_algebra (even_odd Q) :=
graded_algebra.of_alg_hom (even_odd Q)
-- while not necessary, the `by apply` makes this elaborate faster
(lift Q ⟨by apply graded_algebra.ι Q, graded_algebra.ι_sq_scalar Q⟩)
-- the proof from here onward is mostly similar to the `tensor_algebra` case, with some extra
-- handling for the `supr` in `even_odd`.
(begin
ext m,
dsimp only [linear_map.comp_apply, alg_hom.to_linear_map_apply, alg_hom.comp_apply,
alg_hom.id_apply],
rw [lift_ι_apply, graded_algebra.ι_apply Q, direct_sum.coe_alg_hom_of, subtype.coe_mk],
end)
(by apply graded_algebra.lift_ι_eq Q)
lemma supr_ι_range_eq_top : (⨆ i : ℕ, (ι Q).range ^ i) = ⊤ :=
begin
rw [← (direct_sum.decomposition.is_internal (even_odd Q)).submodule_supr_eq_top, eq_comm],
calc (⨆ (i : zmod 2) (j : {n // ↑n = i}), (ι Q).range ^ ↑j)
= (⨆ (i : Σ i : zmod 2, {n : ℕ // ↑n = i}), (ι Q).range ^ (i.2 : ℕ)) : by rw supr_sigma
... = (⨆ (i : ℕ), (ι Q).range ^ i)
: function.surjective.supr_congr (λ i, i.2) (λ i, ⟨⟨_, i, rfl⟩, rfl⟩) (λ _, rfl),
end
lemma even_odd_is_compl : is_compl (even_odd Q 0) (even_odd Q 1) :=
(direct_sum.decomposition.is_internal (even_odd Q)).is_compl zero_ne_one $ begin
have : (finset.univ : finset (zmod 2)) = {0, 1} := rfl,
simpa using congr_arg (coe : finset (zmod 2) → set (zmod 2)) this,
end
/-- To show a property is true on the even or odd part, it suffices to show it is true on the
scalars or vectors (respectively), closed under addition, and under left-multiplication by a pair
of vectors. -/
@[elab_as_eliminator]
lemma even_odd_induction (n : zmod 2) {P : Π x, x ∈ even_odd Q n → Prop}
(hr : ∀ v (h : v ∈ (ι Q).range ^ n.val),
P v (submodule.mem_supr_of_mem ⟨n.val, n.nat_cast_zmod_val⟩ h))
(hadd : ∀ {x y hx hy}, P x hx → P y hy → P (x + y) (submodule.add_mem _ hx hy))
(hιι_mul : ∀ m₁ m₂ {x hx}, P x hx → P (ι Q m₁ * ι Q m₂ * x)
(zero_add n ▸ set_like.mul_mem_graded (ι_mul_ι_mem_even_odd_zero Q m₁ m₂) hx))
(x : clifford_algebra Q) (hx : x ∈ even_odd Q n) : P x hx :=
begin
apply submodule.supr_induction' _ _ (hr 0 (submodule.zero_mem _)) @hadd,
refine subtype.rec _,
simp_rw [subtype.coe_mk, zmod.nat_coe_zmod_eq_iff, add_comm n.val],
rintros n' ⟨k, rfl⟩ xv,
simp_rw [pow_add, pow_mul],
refine submodule.mul_induction_on' _ _,
{ intros a ha b hb,
refine submodule.pow_induction_on_left' ((ι Q).range ^ 2) _ _ _ ha,
{ intro r,
simp_rw ←algebra.smul_def,
exact hr _ (submodule.smul_mem _ _ hb), },
{ intros x y n hx hy,
simp_rw add_mul,
apply hadd, },
{ intros x hx n y hy ihy,
revert hx,
simp_rw pow_two,
refine submodule.mul_induction_on' _ _,
{ simp_rw linear_map.mem_range,
rintros _ ⟨m₁, rfl⟩ _ ⟨m₂, rfl⟩,
simp_rw mul_assoc _ y b,
refine hιι_mul _ _ ihy, },
{ intros x hx y hy ihx ihy,
simp_rw add_mul,
apply hadd ihx ihy } } },
{ intros x y hx hy,
apply hadd }
end
/-- To show a property is true on the even parts, it suffices to show it is true on the
scalars, closed under addition, and under left-multiplication by a pair of vectors. -/
@[elab_as_eliminator]
lemma even_induction {P : Π x, x ∈ even_odd Q 0 → Prop}
(hr : ∀ r : R, P (algebra_map _ _ r) (set_like.algebra_map_mem_graded _ _))
(hadd : ∀ {x y hx hy}, P x hx → P y hy → P (x + y) (submodule.add_mem _ hx hy))
(hιι_mul : ∀ m₁ m₂ {x hx}, P x hx → P (ι Q m₁ * ι Q m₂ * x)
(zero_add 0 ▸ set_like.mul_mem_graded (ι_mul_ι_mem_even_odd_zero Q m₁ m₂) hx))
(x : clifford_algebra Q) (hx : x ∈ even_odd Q 0) : P x hx :=
begin
refine even_odd_induction Q 0 (λ rx, _) @hadd hιι_mul x hx,
simp_rw [zmod.val_zero, pow_zero],
rintro ⟨r, rfl⟩,
exact hr r,
end
/-- To show a property is true on the odd parts, it suffices to show it is true on the
vectors, closed under addition, and under left-multiplication by a pair of vectors. -/
@[elab_as_eliminator]
lemma odd_induction {P : Π x, x ∈ even_odd Q 1 → Prop}
(hι : ∀ v, P (ι Q v) (ι_mem_even_odd_one _ _))
(hadd : ∀ {x y hx hy}, P x hx → P y hy → P (x + y) (submodule.add_mem _ hx hy))
(hιι_mul : ∀ m₁ m₂ {x hx}, P x hx → P (ι Q m₁ * ι Q m₂ * x)
(zero_add (1 : zmod 2) ▸ set_like.mul_mem_graded (ι_mul_ι_mem_even_odd_zero Q m₁ m₂) hx))
(x : clifford_algebra Q) (hx : x ∈ even_odd Q 1) : P x hx :=
begin
refine even_odd_induction Q 1 (λ ιv, _) @hadd hιι_mul x hx,
simp_rw [zmod.val_one, pow_one],
rintro ⟨v, rfl⟩,
exact hι v,
end
end clifford_algebra
|
6104e560a27819489cb1c1aad016b8d1a223b8b4 | d9d511f37a523cd7659d6f573f990e2a0af93c6f | /src/analysis/special_functions/trigonometric.lean | 80638d80b8b2659e9e7d738d5902a77e39d2262a | [
"Apache-2.0"
] | permissive | hikari0108/mathlib | b7ea2b7350497ab1a0b87a09d093ecc025a50dfa | a9e7d333b0cfd45f13a20f7b96b7d52e19fa2901 | refs/heads/master | 1,690,483,608,260 | 1,631,541,580,000 | 1,631,541,580,000 | null | 0 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 144,679 | 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 algebra.quadratic_discriminant
import analysis.special_functions.exp_log
import data.set.intervals.infinite
import ring_theory.polynomial.chebyshev
/-!
# Trigonometric functions
## Main definitions
This file contains the following definitions:
* π, arcsin, arccos, arctan
* argument of a complex number
* logarithm on complex numbers
## Main statements
Many basic inequalities on trigonometric functions are established.
The continuity and differentiability of the usual trigonometric functions are proved, and their
derivatives are computed.
* `polynomial.chebyshev.T_complex_cos`: the `n`-th Chebyshev polynomial evaluates on `complex.cos θ`
to the value `n * complex.cos θ`.
## Tags
log, sin, cos, tan, arcsin, arccos, arctan, angle, argument
-/
noncomputable theory
open_locale classical topological_space filter
open set filter
namespace complex
/-- The complex sine function is everywhere strictly differentiable, with the derivative `cos x`. -/
lemma has_strict_deriv_at_sin (x : ℂ) : has_strict_deriv_at sin (cos x) x :=
begin
simp only [cos, div_eq_mul_inv],
convert ((((has_strict_deriv_at_id x).neg.mul_const I).cexp.sub
((has_strict_deriv_at_id x).mul_const I).cexp).mul_const I).mul_const (2:ℂ)⁻¹,
simp only [function.comp, id],
rw [sub_mul, mul_assoc, mul_assoc, I_mul_I, neg_one_mul, neg_neg, mul_one, one_mul, mul_assoc,
I_mul_I, mul_neg_one, sub_neg_eq_add, add_comm]
end
/-- The complex sine function is everywhere differentiable, with the derivative `cos x`. -/
lemma has_deriv_at_sin (x : ℂ) : has_deriv_at sin (cos x) x :=
(has_strict_deriv_at_sin x).has_deriv_at
lemma times_cont_diff_sin {n} : times_cont_diff ℂ n sin :=
(((times_cont_diff_neg.mul times_cont_diff_const).cexp.sub
(times_cont_diff_id.mul times_cont_diff_const).cexp).mul times_cont_diff_const).div_const
lemma differentiable_sin : differentiable ℂ sin :=
λx, (has_deriv_at_sin x).differentiable_at
lemma differentiable_at_sin {x : ℂ} : differentiable_at ℂ sin x :=
differentiable_sin x
@[simp] lemma deriv_sin : deriv sin = cos :=
funext $ λ x, (has_deriv_at_sin x).deriv
@[continuity]
lemma continuous_sin : continuous sin :=
differentiable_sin.continuous
lemma continuous_on_sin {s : set ℂ} : continuous_on sin s := continuous_sin.continuous_on
/-- The complex cosine function is everywhere strictly differentiable, with the derivative
`-sin x`. -/
lemma has_strict_deriv_at_cos (x : ℂ) : has_strict_deriv_at cos (-sin x) x :=
begin
simp only [sin, div_eq_mul_inv, neg_mul_eq_neg_mul],
convert (((has_strict_deriv_at_id x).mul_const I).cexp.add
((has_strict_deriv_at_id x).neg.mul_const I).cexp).mul_const (2:ℂ)⁻¹,
simp only [function.comp, id],
ring
end
/-- The complex cosine function is everywhere differentiable, with the derivative `-sin x`. -/
lemma has_deriv_at_cos (x : ℂ) : has_deriv_at cos (-sin x) x :=
(has_strict_deriv_at_cos x).has_deriv_at
lemma times_cont_diff_cos {n} : times_cont_diff ℂ n cos :=
((times_cont_diff_id.mul times_cont_diff_const).cexp.add
(times_cont_diff_neg.mul times_cont_diff_const).cexp).div_const
lemma differentiable_cos : differentiable ℂ cos :=
λx, (has_deriv_at_cos x).differentiable_at
lemma differentiable_at_cos {x : ℂ} : differentiable_at ℂ cos x :=
differentiable_cos x
lemma deriv_cos {x : ℂ} : deriv cos x = -sin x :=
(has_deriv_at_cos x).deriv
@[simp] lemma deriv_cos' : deriv cos = (λ x, -sin x) :=
funext $ λ x, deriv_cos
@[continuity]
lemma continuous_cos : continuous cos :=
differentiable_cos.continuous
lemma continuous_on_cos {s : set ℂ} : continuous_on cos s := continuous_cos.continuous_on
/-- The complex hyperbolic sine function is everywhere strictly differentiable, with the derivative
`cosh x`. -/
lemma has_strict_deriv_at_sinh (x : ℂ) : has_strict_deriv_at sinh (cosh x) x :=
begin
simp only [cosh, div_eq_mul_inv],
convert ((has_strict_deriv_at_exp x).sub (has_strict_deriv_at_id x).neg.cexp).mul_const (2:ℂ)⁻¹,
rw [id, mul_neg_one, sub_eq_add_neg, neg_neg]
end
/-- The complex hyperbolic sine function is everywhere differentiable, with the derivative
`cosh x`. -/
lemma has_deriv_at_sinh (x : ℂ) : has_deriv_at sinh (cosh x) x :=
(has_strict_deriv_at_sinh x).has_deriv_at
lemma times_cont_diff_sinh {n} : times_cont_diff ℂ n sinh :=
(times_cont_diff_exp.sub times_cont_diff_neg.cexp).div_const
lemma differentiable_sinh : differentiable ℂ sinh :=
λx, (has_deriv_at_sinh x).differentiable_at
lemma differentiable_at_sinh {x : ℂ} : differentiable_at ℂ sinh x :=
differentiable_sinh x
@[simp] lemma deriv_sinh : deriv sinh = cosh :=
funext $ λ x, (has_deriv_at_sinh x).deriv
@[continuity]
lemma continuous_sinh : continuous sinh :=
differentiable_sinh.continuous
/-- The complex hyperbolic cosine function is everywhere strictly differentiable, with the
derivative `sinh x`. -/
lemma has_strict_deriv_at_cosh (x : ℂ) : has_strict_deriv_at cosh (sinh x) x :=
begin
simp only [sinh, div_eq_mul_inv],
convert ((has_strict_deriv_at_exp x).add (has_strict_deriv_at_id x).neg.cexp).mul_const (2:ℂ)⁻¹,
rw [id, mul_neg_one, sub_eq_add_neg]
end
/-- The complex hyperbolic cosine function is everywhere differentiable, with the derivative
`sinh x`. -/
lemma has_deriv_at_cosh (x : ℂ) : has_deriv_at cosh (sinh x) x :=
(has_strict_deriv_at_cosh x).has_deriv_at
lemma times_cont_diff_cosh {n} : times_cont_diff ℂ n cosh :=
(times_cont_diff_exp.add times_cont_diff_neg.cexp).div_const
lemma differentiable_cosh : differentiable ℂ cosh :=
λx, (has_deriv_at_cosh x).differentiable_at
lemma differentiable_at_cosh {x : ℂ} : differentiable_at ℂ cos x :=
differentiable_cos x
@[simp] lemma deriv_cosh : deriv cosh = sinh :=
funext $ λ x, (has_deriv_at_cosh x).deriv
@[continuity]
lemma continuous_cosh : continuous cosh :=
differentiable_cosh.continuous
end complex
section
/-! ### Simp lemmas for derivatives of `λ x, complex.cos (f x)` etc., `f : ℂ → ℂ` -/
variables {f : ℂ → ℂ} {f' x : ℂ} {s : set ℂ}
/-! #### `complex.cos` -/
lemma has_strict_deriv_at.ccos (hf : has_strict_deriv_at f f' x) :
has_strict_deriv_at (λ x, complex.cos (f x)) (- complex.sin (f x) * f') x :=
(complex.has_strict_deriv_at_cos (f x)).comp x hf
lemma has_deriv_at.ccos (hf : has_deriv_at f f' x) :
has_deriv_at (λ x, complex.cos (f x)) (- complex.sin (f x) * f') x :=
(complex.has_deriv_at_cos (f x)).comp x hf
lemma has_deriv_within_at.ccos (hf : has_deriv_within_at f f' s x) :
has_deriv_within_at (λ x, complex.cos (f x)) (- complex.sin (f x) * f') s x :=
(complex.has_deriv_at_cos (f x)).comp_has_deriv_within_at x hf
lemma deriv_within_ccos (hf : differentiable_within_at ℂ f s x)
(hxs : unique_diff_within_at ℂ s x) :
deriv_within (λx, complex.cos (f x)) s x = - complex.sin (f x) * (deriv_within f s x) :=
hf.has_deriv_within_at.ccos.deriv_within hxs
@[simp] lemma deriv_ccos (hc : differentiable_at ℂ f x) :
deriv (λx, complex.cos (f x)) x = - complex.sin (f x) * (deriv f x) :=
hc.has_deriv_at.ccos.deriv
/-! #### `complex.sin` -/
lemma has_strict_deriv_at.csin (hf : has_strict_deriv_at f f' x) :
has_strict_deriv_at (λ x, complex.sin (f x)) (complex.cos (f x) * f') x :=
(complex.has_strict_deriv_at_sin (f x)).comp x hf
lemma has_deriv_at.csin (hf : has_deriv_at f f' x) :
has_deriv_at (λ x, complex.sin (f x)) (complex.cos (f x) * f') x :=
(complex.has_deriv_at_sin (f x)).comp x hf
lemma has_deriv_within_at.csin (hf : has_deriv_within_at f f' s x) :
has_deriv_within_at (λ x, complex.sin (f x)) (complex.cos (f x) * f') s x :=
(complex.has_deriv_at_sin (f x)).comp_has_deriv_within_at x hf
lemma deriv_within_csin (hf : differentiable_within_at ℂ f s x)
(hxs : unique_diff_within_at ℂ s x) :
deriv_within (λx, complex.sin (f x)) s x = complex.cos (f x) * (deriv_within f s x) :=
hf.has_deriv_within_at.csin.deriv_within hxs
@[simp] lemma deriv_csin (hc : differentiable_at ℂ f x) :
deriv (λx, complex.sin (f x)) x = complex.cos (f x) * (deriv f x) :=
hc.has_deriv_at.csin.deriv
/-! #### `complex.cosh` -/
lemma has_strict_deriv_at.ccosh (hf : has_strict_deriv_at f f' x) :
has_strict_deriv_at (λ x, complex.cosh (f x)) (complex.sinh (f x) * f') x :=
(complex.has_strict_deriv_at_cosh (f x)).comp x hf
lemma has_deriv_at.ccosh (hf : has_deriv_at f f' x) :
has_deriv_at (λ x, complex.cosh (f x)) (complex.sinh (f x) * f') x :=
(complex.has_deriv_at_cosh (f x)).comp x hf
lemma has_deriv_within_at.ccosh (hf : has_deriv_within_at f f' s x) :
has_deriv_within_at (λ x, complex.cosh (f x)) (complex.sinh (f x) * f') s x :=
(complex.has_deriv_at_cosh (f x)).comp_has_deriv_within_at x hf
lemma deriv_within_ccosh (hf : differentiable_within_at ℂ f s x)
(hxs : unique_diff_within_at ℂ s x) :
deriv_within (λx, complex.cosh (f x)) s x = complex.sinh (f x) * (deriv_within f s x) :=
hf.has_deriv_within_at.ccosh.deriv_within hxs
@[simp] lemma deriv_ccosh (hc : differentiable_at ℂ f x) :
deriv (λx, complex.cosh (f x)) x = complex.sinh (f x) * (deriv f x) :=
hc.has_deriv_at.ccosh.deriv
/-! #### `complex.sinh` -/
lemma has_strict_deriv_at.csinh (hf : has_strict_deriv_at f f' x) :
has_strict_deriv_at (λ x, complex.sinh (f x)) (complex.cosh (f x) * f') x :=
(complex.has_strict_deriv_at_sinh (f x)).comp x hf
lemma has_deriv_at.csinh (hf : has_deriv_at f f' x) :
has_deriv_at (λ x, complex.sinh (f x)) (complex.cosh (f x) * f') x :=
(complex.has_deriv_at_sinh (f x)).comp x hf
lemma has_deriv_within_at.csinh (hf : has_deriv_within_at f f' s x) :
has_deriv_within_at (λ x, complex.sinh (f x)) (complex.cosh (f x) * f') s x :=
(complex.has_deriv_at_sinh (f x)).comp_has_deriv_within_at x hf
lemma deriv_within_csinh (hf : differentiable_within_at ℂ f s x)
(hxs : unique_diff_within_at ℂ s x) :
deriv_within (λx, complex.sinh (f x)) s x = complex.cosh (f x) * (deriv_within f s x) :=
hf.has_deriv_within_at.csinh.deriv_within hxs
@[simp] lemma deriv_csinh (hc : differentiable_at ℂ f x) :
deriv (λx, complex.sinh (f x)) x = complex.cosh (f x) * (deriv f x) :=
hc.has_deriv_at.csinh.deriv
end
section
/-! ### Simp lemmas for derivatives of `λ x, complex.cos (f x)` etc., `f : E → ℂ` -/
variables {E : Type*} [normed_group E] [normed_space ℂ E] {f : E → ℂ} {f' : E →L[ℂ] ℂ}
{x : E} {s : set E}
/-! #### `complex.cos` -/
lemma has_strict_fderiv_at.ccos (hf : has_strict_fderiv_at f f' x) :
has_strict_fderiv_at (λ x, complex.cos (f x)) (- complex.sin (f x) • f') x :=
(complex.has_strict_deriv_at_cos (f x)).comp_has_strict_fderiv_at x hf
lemma has_fderiv_at.ccos (hf : has_fderiv_at f f' x) :
has_fderiv_at (λ x, complex.cos (f x)) (- complex.sin (f x) • f') x :=
(complex.has_deriv_at_cos (f x)).comp_has_fderiv_at x hf
lemma has_fderiv_within_at.ccos (hf : has_fderiv_within_at f f' s x) :
has_fderiv_within_at (λ x, complex.cos (f x)) (- complex.sin (f x) • f') s x :=
(complex.has_deriv_at_cos (f x)).comp_has_fderiv_within_at x hf
lemma differentiable_within_at.ccos (hf : differentiable_within_at ℂ f s x) :
differentiable_within_at ℂ (λ x, complex.cos (f x)) s x :=
hf.has_fderiv_within_at.ccos.differentiable_within_at
@[simp] lemma differentiable_at.ccos (hc : differentiable_at ℂ f x) :
differentiable_at ℂ (λx, complex.cos (f x)) x :=
hc.has_fderiv_at.ccos.differentiable_at
lemma differentiable_on.ccos (hc : differentiable_on ℂ f s) :
differentiable_on ℂ (λx, complex.cos (f x)) s :=
λx h, (hc x h).ccos
@[simp] lemma differentiable.ccos (hc : differentiable ℂ f) :
differentiable ℂ (λx, complex.cos (f x)) :=
λx, (hc x).ccos
lemma fderiv_within_ccos (hf : differentiable_within_at ℂ f s x)
(hxs : unique_diff_within_at ℂ s x) :
fderiv_within ℂ (λx, complex.cos (f x)) s x = - complex.sin (f x) • (fderiv_within ℂ f s x) :=
hf.has_fderiv_within_at.ccos.fderiv_within hxs
@[simp] lemma fderiv_ccos (hc : differentiable_at ℂ f x) :
fderiv ℂ (λx, complex.cos (f x)) x = - complex.sin (f x) • (fderiv ℂ f x) :=
hc.has_fderiv_at.ccos.fderiv
lemma times_cont_diff.ccos {n} (h : times_cont_diff ℂ n f) :
times_cont_diff ℂ n (λ x, complex.cos (f x)) :=
complex.times_cont_diff_cos.comp h
lemma times_cont_diff_at.ccos {n} (hf : times_cont_diff_at ℂ n f x) :
times_cont_diff_at ℂ n (λ x, complex.cos (f x)) x :=
complex.times_cont_diff_cos.times_cont_diff_at.comp x hf
lemma times_cont_diff_on.ccos {n} (hf : times_cont_diff_on ℂ n f s) :
times_cont_diff_on ℂ n (λ x, complex.cos (f x)) s :=
complex.times_cont_diff_cos.comp_times_cont_diff_on hf
lemma times_cont_diff_within_at.ccos {n} (hf : times_cont_diff_within_at ℂ n f s x) :
times_cont_diff_within_at ℂ n (λ x, complex.cos (f x)) s x :=
complex.times_cont_diff_cos.times_cont_diff_at.comp_times_cont_diff_within_at x hf
/-! #### `complex.sin` -/
lemma has_strict_fderiv_at.csin (hf : has_strict_fderiv_at f f' x) :
has_strict_fderiv_at (λ x, complex.sin (f x)) (complex.cos (f x) • f') x :=
(complex.has_strict_deriv_at_sin (f x)).comp_has_strict_fderiv_at x hf
lemma has_fderiv_at.csin (hf : has_fderiv_at f f' x) :
has_fderiv_at (λ x, complex.sin (f x)) (complex.cos (f x) • f') x :=
(complex.has_deriv_at_sin (f x)).comp_has_fderiv_at x hf
lemma has_fderiv_within_at.csin (hf : has_fderiv_within_at f f' s x) :
has_fderiv_within_at (λ x, complex.sin (f x)) (complex.cos (f x) • f') s x :=
(complex.has_deriv_at_sin (f x)).comp_has_fderiv_within_at x hf
lemma differentiable_within_at.csin (hf : differentiable_within_at ℂ f s x) :
differentiable_within_at ℂ (λ x, complex.sin (f x)) s x :=
hf.has_fderiv_within_at.csin.differentiable_within_at
@[simp] lemma differentiable_at.csin (hc : differentiable_at ℂ f x) :
differentiable_at ℂ (λx, complex.sin (f x)) x :=
hc.has_fderiv_at.csin.differentiable_at
lemma differentiable_on.csin (hc : differentiable_on ℂ f s) :
differentiable_on ℂ (λx, complex.sin (f x)) s :=
λx h, (hc x h).csin
@[simp] lemma differentiable.csin (hc : differentiable ℂ f) :
differentiable ℂ (λx, complex.sin (f x)) :=
λx, (hc x).csin
lemma fderiv_within_csin (hf : differentiable_within_at ℂ f s x)
(hxs : unique_diff_within_at ℂ s x) :
fderiv_within ℂ (λx, complex.sin (f x)) s x = complex.cos (f x) • (fderiv_within ℂ f s x) :=
hf.has_fderiv_within_at.csin.fderiv_within hxs
@[simp] lemma fderiv_csin (hc : differentiable_at ℂ f x) :
fderiv ℂ (λx, complex.sin (f x)) x = complex.cos (f x) • (fderiv ℂ f x) :=
hc.has_fderiv_at.csin.fderiv
lemma times_cont_diff.csin {n} (h : times_cont_diff ℂ n f) :
times_cont_diff ℂ n (λ x, complex.sin (f x)) :=
complex.times_cont_diff_sin.comp h
lemma times_cont_diff_at.csin {n} (hf : times_cont_diff_at ℂ n f x) :
times_cont_diff_at ℂ n (λ x, complex.sin (f x)) x :=
complex.times_cont_diff_sin.times_cont_diff_at.comp x hf
lemma times_cont_diff_on.csin {n} (hf : times_cont_diff_on ℂ n f s) :
times_cont_diff_on ℂ n (λ x, complex.sin (f x)) s :=
complex.times_cont_diff_sin.comp_times_cont_diff_on hf
lemma times_cont_diff_within_at.csin {n} (hf : times_cont_diff_within_at ℂ n f s x) :
times_cont_diff_within_at ℂ n (λ x, complex.sin (f x)) s x :=
complex.times_cont_diff_sin.times_cont_diff_at.comp_times_cont_diff_within_at x hf
/-! #### `complex.cosh` -/
lemma has_strict_fderiv_at.ccosh (hf : has_strict_fderiv_at f f' x) :
has_strict_fderiv_at (λ x, complex.cosh (f x)) (complex.sinh (f x) • f') x :=
(complex.has_strict_deriv_at_cosh (f x)).comp_has_strict_fderiv_at x hf
lemma has_fderiv_at.ccosh (hf : has_fderiv_at f f' x) :
has_fderiv_at (λ x, complex.cosh (f x)) (complex.sinh (f x) • f') x :=
(complex.has_deriv_at_cosh (f x)).comp_has_fderiv_at x hf
lemma has_fderiv_within_at.ccosh (hf : has_fderiv_within_at f f' s x) :
has_fderiv_within_at (λ x, complex.cosh (f x)) (complex.sinh (f x) • f') s x :=
(complex.has_deriv_at_cosh (f x)).comp_has_fderiv_within_at x hf
lemma differentiable_within_at.ccosh (hf : differentiable_within_at ℂ f s x) :
differentiable_within_at ℂ (λ x, complex.cosh (f x)) s x :=
hf.has_fderiv_within_at.ccosh.differentiable_within_at
@[simp] lemma differentiable_at.ccosh (hc : differentiable_at ℂ f x) :
differentiable_at ℂ (λx, complex.cosh (f x)) x :=
hc.has_fderiv_at.ccosh.differentiable_at
lemma differentiable_on.ccosh (hc : differentiable_on ℂ f s) :
differentiable_on ℂ (λx, complex.cosh (f x)) s :=
λx h, (hc x h).ccosh
@[simp] lemma differentiable.ccosh (hc : differentiable ℂ f) :
differentiable ℂ (λx, complex.cosh (f x)) :=
λx, (hc x).ccosh
lemma fderiv_within_ccosh (hf : differentiable_within_at ℂ f s x)
(hxs : unique_diff_within_at ℂ s x) :
fderiv_within ℂ (λx, complex.cosh (f x)) s x = complex.sinh (f x) • (fderiv_within ℂ f s x) :=
hf.has_fderiv_within_at.ccosh.fderiv_within hxs
@[simp] lemma fderiv_ccosh (hc : differentiable_at ℂ f x) :
fderiv ℂ (λx, complex.cosh (f x)) x = complex.sinh (f x) • (fderiv ℂ f x) :=
hc.has_fderiv_at.ccosh.fderiv
lemma times_cont_diff.ccosh {n} (h : times_cont_diff ℂ n f) :
times_cont_diff ℂ n (λ x, complex.cosh (f x)) :=
complex.times_cont_diff_cosh.comp h
lemma times_cont_diff_at.ccosh {n} (hf : times_cont_diff_at ℂ n f x) :
times_cont_diff_at ℂ n (λ x, complex.cosh (f x)) x :=
complex.times_cont_diff_cosh.times_cont_diff_at.comp x hf
lemma times_cont_diff_on.ccosh {n} (hf : times_cont_diff_on ℂ n f s) :
times_cont_diff_on ℂ n (λ x, complex.cosh (f x)) s :=
complex.times_cont_diff_cosh.comp_times_cont_diff_on hf
lemma times_cont_diff_within_at.ccosh {n} (hf : times_cont_diff_within_at ℂ n f s x) :
times_cont_diff_within_at ℂ n (λ x, complex.cosh (f x)) s x :=
complex.times_cont_diff_cosh.times_cont_diff_at.comp_times_cont_diff_within_at x hf
/-! #### `complex.sinh` -/
lemma has_strict_fderiv_at.csinh (hf : has_strict_fderiv_at f f' x) :
has_strict_fderiv_at (λ x, complex.sinh (f x)) (complex.cosh (f x) • f') x :=
(complex.has_strict_deriv_at_sinh (f x)).comp_has_strict_fderiv_at x hf
lemma has_fderiv_at.csinh (hf : has_fderiv_at f f' x) :
has_fderiv_at (λ x, complex.sinh (f x)) (complex.cosh (f x) • f') x :=
(complex.has_deriv_at_sinh (f x)).comp_has_fderiv_at x hf
lemma has_fderiv_within_at.csinh (hf : has_fderiv_within_at f f' s x) :
has_fderiv_within_at (λ x, complex.sinh (f x)) (complex.cosh (f x) • f') s x :=
(complex.has_deriv_at_sinh (f x)).comp_has_fderiv_within_at x hf
lemma differentiable_within_at.csinh (hf : differentiable_within_at ℂ f s x) :
differentiable_within_at ℂ (λ x, complex.sinh (f x)) s x :=
hf.has_fderiv_within_at.csinh.differentiable_within_at
@[simp] lemma differentiable_at.csinh (hc : differentiable_at ℂ f x) :
differentiable_at ℂ (λx, complex.sinh (f x)) x :=
hc.has_fderiv_at.csinh.differentiable_at
lemma differentiable_on.csinh (hc : differentiable_on ℂ f s) :
differentiable_on ℂ (λx, complex.sinh (f x)) s :=
λx h, (hc x h).csinh
@[simp] lemma differentiable.csinh (hc : differentiable ℂ f) :
differentiable ℂ (λx, complex.sinh (f x)) :=
λx, (hc x).csinh
lemma fderiv_within_csinh (hf : differentiable_within_at ℂ f s x)
(hxs : unique_diff_within_at ℂ s x) :
fderiv_within ℂ (λx, complex.sinh (f x)) s x = complex.cosh (f x) • (fderiv_within ℂ f s x) :=
hf.has_fderiv_within_at.csinh.fderiv_within hxs
@[simp] lemma fderiv_csinh (hc : differentiable_at ℂ f x) :
fderiv ℂ (λx, complex.sinh (f x)) x = complex.cosh (f x) • (fderiv ℂ f x) :=
hc.has_fderiv_at.csinh.fderiv
lemma times_cont_diff.csinh {n} (h : times_cont_diff ℂ n f) :
times_cont_diff ℂ n (λ x, complex.sinh (f x)) :=
complex.times_cont_diff_sinh.comp h
lemma times_cont_diff_at.csinh {n} (hf : times_cont_diff_at ℂ n f x) :
times_cont_diff_at ℂ n (λ x, complex.sinh (f x)) x :=
complex.times_cont_diff_sinh.times_cont_diff_at.comp x hf
lemma times_cont_diff_on.csinh {n} (hf : times_cont_diff_on ℂ n f s) :
times_cont_diff_on ℂ n (λ x, complex.sinh (f x)) s :=
complex.times_cont_diff_sinh.comp_times_cont_diff_on hf
lemma times_cont_diff_within_at.csinh {n} (hf : times_cont_diff_within_at ℂ n f s x) :
times_cont_diff_within_at ℂ n (λ x, complex.sinh (f x)) s x :=
complex.times_cont_diff_sinh.times_cont_diff_at.comp_times_cont_diff_within_at x hf
end
namespace real
variables {x y z : ℝ}
lemma has_strict_deriv_at_sin (x : ℝ) : has_strict_deriv_at sin (cos x) x :=
(complex.has_strict_deriv_at_sin x).real_of_complex
lemma has_deriv_at_sin (x : ℝ) : has_deriv_at sin (cos x) x :=
(has_strict_deriv_at_sin x).has_deriv_at
lemma times_cont_diff_sin {n} : times_cont_diff ℝ n sin :=
complex.times_cont_diff_sin.real_of_complex
lemma differentiable_sin : differentiable ℝ sin :=
λx, (has_deriv_at_sin x).differentiable_at
lemma differentiable_at_sin : differentiable_at ℝ sin x :=
differentiable_sin x
@[simp] lemma deriv_sin : deriv sin = cos :=
funext $ λ x, (has_deriv_at_sin x).deriv
@[continuity]
lemma continuous_sin : continuous sin :=
differentiable_sin.continuous
lemma continuous_on_sin {s} : continuous_on sin s :=
continuous_sin.continuous_on
lemma has_strict_deriv_at_cos (x : ℝ) : has_strict_deriv_at cos (-sin x) x :=
(complex.has_strict_deriv_at_cos x).real_of_complex
lemma has_deriv_at_cos (x : ℝ) : has_deriv_at cos (-sin x) x :=
(complex.has_deriv_at_cos x).real_of_complex
lemma times_cont_diff_cos {n} : times_cont_diff ℝ n cos :=
complex.times_cont_diff_cos.real_of_complex
lemma differentiable_cos : differentiable ℝ cos :=
λx, (has_deriv_at_cos x).differentiable_at
lemma differentiable_at_cos : differentiable_at ℝ cos x :=
differentiable_cos x
lemma deriv_cos : deriv cos x = - sin x :=
(has_deriv_at_cos x).deriv
@[simp] lemma deriv_cos' : deriv cos = (λ x, - sin x) :=
funext $ λ _, deriv_cos
@[continuity]
lemma continuous_cos : continuous cos :=
differentiable_cos.continuous
lemma continuous_on_cos {s} : continuous_on cos s := continuous_cos.continuous_on
lemma has_strict_deriv_at_sinh (x : ℝ) : has_strict_deriv_at sinh (cosh x) x :=
(complex.has_strict_deriv_at_sinh x).real_of_complex
lemma has_deriv_at_sinh (x : ℝ) : has_deriv_at sinh (cosh x) x :=
(complex.has_deriv_at_sinh x).real_of_complex
lemma times_cont_diff_sinh {n} : times_cont_diff ℝ n sinh :=
complex.times_cont_diff_sinh.real_of_complex
lemma differentiable_sinh : differentiable ℝ sinh :=
λx, (has_deriv_at_sinh x).differentiable_at
lemma differentiable_at_sinh : differentiable_at ℝ sinh x :=
differentiable_sinh x
@[simp] lemma deriv_sinh : deriv sinh = cosh :=
funext $ λ x, (has_deriv_at_sinh x).deriv
@[continuity]
lemma continuous_sinh : continuous sinh :=
differentiable_sinh.continuous
lemma has_strict_deriv_at_cosh (x : ℝ) : has_strict_deriv_at cosh (sinh x) x :=
(complex.has_strict_deriv_at_cosh x).real_of_complex
lemma has_deriv_at_cosh (x : ℝ) : has_deriv_at cosh (sinh x) x :=
(complex.has_deriv_at_cosh x).real_of_complex
lemma times_cont_diff_cosh {n} : times_cont_diff ℝ n cosh :=
complex.times_cont_diff_cosh.real_of_complex
lemma differentiable_cosh : differentiable ℝ cosh :=
λx, (has_deriv_at_cosh x).differentiable_at
lemma differentiable_at_cosh : differentiable_at ℝ cosh x :=
differentiable_cosh x
@[simp] lemma deriv_cosh : deriv cosh = sinh :=
funext $ λ x, (has_deriv_at_cosh x).deriv
@[continuity]
lemma continuous_cosh : continuous cosh :=
differentiable_cosh.continuous
/-- `sinh` is strictly monotone. -/
lemma sinh_strict_mono : strict_mono sinh :=
strict_mono_of_deriv_pos differentiable_sinh (by { rw [real.deriv_sinh], exact cosh_pos })
end real
section
/-! ### Simp lemmas for derivatives of `λ x, real.cos (f x)` etc., `f : ℝ → ℝ` -/
variables {f : ℝ → ℝ} {f' x : ℝ} {s : set ℝ}
/-! #### `real.cos` -/
lemma has_strict_deriv_at.cos (hf : has_strict_deriv_at f f' x) :
has_strict_deriv_at (λ x, real.cos (f x)) (- real.sin (f x) * f') x :=
(real.has_strict_deriv_at_cos (f x)).comp x hf
lemma has_deriv_at.cos (hf : has_deriv_at f f' x) :
has_deriv_at (λ x, real.cos (f x)) (- real.sin (f x) * f') x :=
(real.has_deriv_at_cos (f x)).comp x hf
lemma has_deriv_within_at.cos (hf : has_deriv_within_at f f' s x) :
has_deriv_within_at (λ x, real.cos (f x)) (- real.sin (f x) * f') s x :=
(real.has_deriv_at_cos (f x)).comp_has_deriv_within_at x hf
lemma deriv_within_cos (hf : differentiable_within_at ℝ f s x)
(hxs : unique_diff_within_at ℝ s x) :
deriv_within (λx, real.cos (f x)) s x = - real.sin (f x) * (deriv_within f s x) :=
hf.has_deriv_within_at.cos.deriv_within hxs
@[simp] lemma deriv_cos (hc : differentiable_at ℝ f x) :
deriv (λx, real.cos (f x)) x = - real.sin (f x) * (deriv f x) :=
hc.has_deriv_at.cos.deriv
/-! #### `real.sin` -/
lemma has_strict_deriv_at.sin (hf : has_strict_deriv_at f f' x) :
has_strict_deriv_at (λ x, real.sin (f x)) (real.cos (f x) * f') x :=
(real.has_strict_deriv_at_sin (f x)).comp x hf
lemma has_deriv_at.sin (hf : has_deriv_at f f' x) :
has_deriv_at (λ x, real.sin (f x)) (real.cos (f x) * f') x :=
(real.has_deriv_at_sin (f x)).comp x hf
lemma has_deriv_within_at.sin (hf : has_deriv_within_at f f' s x) :
has_deriv_within_at (λ x, real.sin (f x)) (real.cos (f x) * f') s x :=
(real.has_deriv_at_sin (f x)).comp_has_deriv_within_at x hf
lemma deriv_within_sin (hf : differentiable_within_at ℝ f s x)
(hxs : unique_diff_within_at ℝ s x) :
deriv_within (λx, real.sin (f x)) s x = real.cos (f x) * (deriv_within f s x) :=
hf.has_deriv_within_at.sin.deriv_within hxs
@[simp] lemma deriv_sin (hc : differentiable_at ℝ f x) :
deriv (λx, real.sin (f x)) x = real.cos (f x) * (deriv f x) :=
hc.has_deriv_at.sin.deriv
/-! #### `real.cosh` -/
lemma has_strict_deriv_at.cosh (hf : has_strict_deriv_at f f' x) :
has_strict_deriv_at (λ x, real.cosh (f x)) (real.sinh (f x) * f') x :=
(real.has_strict_deriv_at_cosh (f x)).comp x hf
lemma has_deriv_at.cosh (hf : has_deriv_at f f' x) :
has_deriv_at (λ x, real.cosh (f x)) (real.sinh (f x) * f') x :=
(real.has_deriv_at_cosh (f x)).comp x hf
lemma has_deriv_within_at.cosh (hf : has_deriv_within_at f f' s x) :
has_deriv_within_at (λ x, real.cosh (f x)) (real.sinh (f x) * f') s x :=
(real.has_deriv_at_cosh (f x)).comp_has_deriv_within_at x hf
lemma deriv_within_cosh (hf : differentiable_within_at ℝ f s x)
(hxs : unique_diff_within_at ℝ s x) :
deriv_within (λx, real.cosh (f x)) s x = real.sinh (f x) * (deriv_within f s x) :=
hf.has_deriv_within_at.cosh.deriv_within hxs
@[simp] lemma deriv_cosh (hc : differentiable_at ℝ f x) :
deriv (λx, real.cosh (f x)) x = real.sinh (f x) * (deriv f x) :=
hc.has_deriv_at.cosh.deriv
/-! #### `real.sinh` -/
lemma has_strict_deriv_at.sinh (hf : has_strict_deriv_at f f' x) :
has_strict_deriv_at (λ x, real.sinh (f x)) (real.cosh (f x) * f') x :=
(real.has_strict_deriv_at_sinh (f x)).comp x hf
lemma has_deriv_at.sinh (hf : has_deriv_at f f' x) :
has_deriv_at (λ x, real.sinh (f x)) (real.cosh (f x) * f') x :=
(real.has_deriv_at_sinh (f x)).comp x hf
lemma has_deriv_within_at.sinh (hf : has_deriv_within_at f f' s x) :
has_deriv_within_at (λ x, real.sinh (f x)) (real.cosh (f x) * f') s x :=
(real.has_deriv_at_sinh (f x)).comp_has_deriv_within_at x hf
lemma deriv_within_sinh (hf : differentiable_within_at ℝ f s x)
(hxs : unique_diff_within_at ℝ s x) :
deriv_within (λx, real.sinh (f x)) s x = real.cosh (f x) * (deriv_within f s x) :=
hf.has_deriv_within_at.sinh.deriv_within hxs
@[simp] lemma deriv_sinh (hc : differentiable_at ℝ f x) :
deriv (λx, real.sinh (f x)) x = real.cosh (f x) * (deriv f x) :=
hc.has_deriv_at.sinh.deriv
end
section
/-! ### Simp lemmas for derivatives of `λ x, real.cos (f x)` etc., `f : E → ℝ` -/
variables {E : Type*} [normed_group E] [normed_space ℝ E] {f : E → ℝ} {f' : E →L[ℝ] ℝ}
{x : E} {s : set E}
/-! #### `real.cos` -/
lemma has_strict_fderiv_at.cos (hf : has_strict_fderiv_at f f' x) :
has_strict_fderiv_at (λ x, real.cos (f x)) (- real.sin (f x) • f') x :=
(real.has_strict_deriv_at_cos (f x)).comp_has_strict_fderiv_at x hf
lemma has_fderiv_at.cos (hf : has_fderiv_at f f' x) :
has_fderiv_at (λ x, real.cos (f x)) (- real.sin (f x) • f') x :=
(real.has_deriv_at_cos (f x)).comp_has_fderiv_at x hf
lemma has_fderiv_within_at.cos (hf : has_fderiv_within_at f f' s x) :
has_fderiv_within_at (λ x, real.cos (f x)) (- real.sin (f x) • f') s x :=
(real.has_deriv_at_cos (f x)).comp_has_fderiv_within_at x hf
lemma differentiable_within_at.cos (hf : differentiable_within_at ℝ f s x) :
differentiable_within_at ℝ (λ x, real.cos (f x)) s x :=
hf.has_fderiv_within_at.cos.differentiable_within_at
@[simp] lemma differentiable_at.cos (hc : differentiable_at ℝ f x) :
differentiable_at ℝ (λx, real.cos (f x)) x :=
hc.has_fderiv_at.cos.differentiable_at
lemma differentiable_on.cos (hc : differentiable_on ℝ f s) :
differentiable_on ℝ (λx, real.cos (f x)) s :=
λx h, (hc x h).cos
@[simp] lemma differentiable.cos (hc : differentiable ℝ f) :
differentiable ℝ (λx, real.cos (f x)) :=
λx, (hc x).cos
lemma fderiv_within_cos (hf : differentiable_within_at ℝ f s x)
(hxs : unique_diff_within_at ℝ s x) :
fderiv_within ℝ (λx, real.cos (f x)) s x = - real.sin (f x) • (fderiv_within ℝ f s x) :=
hf.has_fderiv_within_at.cos.fderiv_within hxs
@[simp] lemma fderiv_cos (hc : differentiable_at ℝ f x) :
fderiv ℝ (λx, real.cos (f x)) x = - real.sin (f x) • (fderiv ℝ f x) :=
hc.has_fderiv_at.cos.fderiv
lemma times_cont_diff.cos {n} (h : times_cont_diff ℝ n f) :
times_cont_diff ℝ n (λ x, real.cos (f x)) :=
real.times_cont_diff_cos.comp h
lemma times_cont_diff_at.cos {n} (hf : times_cont_diff_at ℝ n f x) :
times_cont_diff_at ℝ n (λ x, real.cos (f x)) x :=
real.times_cont_diff_cos.times_cont_diff_at.comp x hf
lemma times_cont_diff_on.cos {n} (hf : times_cont_diff_on ℝ n f s) :
times_cont_diff_on ℝ n (λ x, real.cos (f x)) s :=
real.times_cont_diff_cos.comp_times_cont_diff_on hf
lemma times_cont_diff_within_at.cos {n} (hf : times_cont_diff_within_at ℝ n f s x) :
times_cont_diff_within_at ℝ n (λ x, real.cos (f x)) s x :=
real.times_cont_diff_cos.times_cont_diff_at.comp_times_cont_diff_within_at x hf
/-! #### `real.sin` -/
lemma has_strict_fderiv_at.sin (hf : has_strict_fderiv_at f f' x) :
has_strict_fderiv_at (λ x, real.sin (f x)) (real.cos (f x) • f') x :=
(real.has_strict_deriv_at_sin (f x)).comp_has_strict_fderiv_at x hf
lemma has_fderiv_at.sin (hf : has_fderiv_at f f' x) :
has_fderiv_at (λ x, real.sin (f x)) (real.cos (f x) • f') x :=
(real.has_deriv_at_sin (f x)).comp_has_fderiv_at x hf
lemma has_fderiv_within_at.sin (hf : has_fderiv_within_at f f' s x) :
has_fderiv_within_at (λ x, real.sin (f x)) (real.cos (f x) • f') s x :=
(real.has_deriv_at_sin (f x)).comp_has_fderiv_within_at x hf
lemma differentiable_within_at.sin (hf : differentiable_within_at ℝ f s x) :
differentiable_within_at ℝ (λ x, real.sin (f x)) s x :=
hf.has_fderiv_within_at.sin.differentiable_within_at
@[simp] lemma differentiable_at.sin (hc : differentiable_at ℝ f x) :
differentiable_at ℝ (λx, real.sin (f x)) x :=
hc.has_fderiv_at.sin.differentiable_at
lemma differentiable_on.sin (hc : differentiable_on ℝ f s) :
differentiable_on ℝ (λx, real.sin (f x)) s :=
λx h, (hc x h).sin
@[simp] lemma differentiable.sin (hc : differentiable ℝ f) :
differentiable ℝ (λx, real.sin (f x)) :=
λx, (hc x).sin
lemma fderiv_within_sin (hf : differentiable_within_at ℝ f s x)
(hxs : unique_diff_within_at ℝ s x) :
fderiv_within ℝ (λx, real.sin (f x)) s x = real.cos (f x) • (fderiv_within ℝ f s x) :=
hf.has_fderiv_within_at.sin.fderiv_within hxs
@[simp] lemma fderiv_sin (hc : differentiable_at ℝ f x) :
fderiv ℝ (λx, real.sin (f x)) x = real.cos (f x) • (fderiv ℝ f x) :=
hc.has_fderiv_at.sin.fderiv
lemma times_cont_diff.sin {n} (h : times_cont_diff ℝ n f) :
times_cont_diff ℝ n (λ x, real.sin (f x)) :=
real.times_cont_diff_sin.comp h
lemma times_cont_diff_at.sin {n} (hf : times_cont_diff_at ℝ n f x) :
times_cont_diff_at ℝ n (λ x, real.sin (f x)) x :=
real.times_cont_diff_sin.times_cont_diff_at.comp x hf
lemma times_cont_diff_on.sin {n} (hf : times_cont_diff_on ℝ n f s) :
times_cont_diff_on ℝ n (λ x, real.sin (f x)) s :=
real.times_cont_diff_sin.comp_times_cont_diff_on hf
lemma times_cont_diff_within_at.sin {n} (hf : times_cont_diff_within_at ℝ n f s x) :
times_cont_diff_within_at ℝ n (λ x, real.sin (f x)) s x :=
real.times_cont_diff_sin.times_cont_diff_at.comp_times_cont_diff_within_at x hf
/-! #### `real.cosh` -/
lemma has_strict_fderiv_at.cosh (hf : has_strict_fderiv_at f f' x) :
has_strict_fderiv_at (λ x, real.cosh (f x)) (real.sinh (f x) • f') x :=
(real.has_strict_deriv_at_cosh (f x)).comp_has_strict_fderiv_at x hf
lemma has_fderiv_at.cosh (hf : has_fderiv_at f f' x) :
has_fderiv_at (λ x, real.cosh (f x)) (real.sinh (f x) • f') x :=
(real.has_deriv_at_cosh (f x)).comp_has_fderiv_at x hf
lemma has_fderiv_within_at.cosh (hf : has_fderiv_within_at f f' s x) :
has_fderiv_within_at (λ x, real.cosh (f x)) (real.sinh (f x) • f') s x :=
(real.has_deriv_at_cosh (f x)).comp_has_fderiv_within_at x hf
lemma differentiable_within_at.cosh (hf : differentiable_within_at ℝ f s x) :
differentiable_within_at ℝ (λ x, real.cosh (f x)) s x :=
hf.has_fderiv_within_at.cosh.differentiable_within_at
@[simp] lemma differentiable_at.cosh (hc : differentiable_at ℝ f x) :
differentiable_at ℝ (λx, real.cosh (f x)) x :=
hc.has_fderiv_at.cosh.differentiable_at
lemma differentiable_on.cosh (hc : differentiable_on ℝ f s) :
differentiable_on ℝ (λx, real.cosh (f x)) s :=
λx h, (hc x h).cosh
@[simp] lemma differentiable.cosh (hc : differentiable ℝ f) :
differentiable ℝ (λx, real.cosh (f x)) :=
λx, (hc x).cosh
lemma fderiv_within_cosh (hf : differentiable_within_at ℝ f s x)
(hxs : unique_diff_within_at ℝ s x) :
fderiv_within ℝ (λx, real.cosh (f x)) s x = real.sinh (f x) • (fderiv_within ℝ f s x) :=
hf.has_fderiv_within_at.cosh.fderiv_within hxs
@[simp] lemma fderiv_cosh (hc : differentiable_at ℝ f x) :
fderiv ℝ (λx, real.cosh (f x)) x = real.sinh (f x) • (fderiv ℝ f x) :=
hc.has_fderiv_at.cosh.fderiv
lemma times_cont_diff.cosh {n} (h : times_cont_diff ℝ n f) :
times_cont_diff ℝ n (λ x, real.cosh (f x)) :=
real.times_cont_diff_cosh.comp h
lemma times_cont_diff_at.cosh {n} (hf : times_cont_diff_at ℝ n f x) :
times_cont_diff_at ℝ n (λ x, real.cosh (f x)) x :=
real.times_cont_diff_cosh.times_cont_diff_at.comp x hf
lemma times_cont_diff_on.cosh {n} (hf : times_cont_diff_on ℝ n f s) :
times_cont_diff_on ℝ n (λ x, real.cosh (f x)) s :=
real.times_cont_diff_cosh.comp_times_cont_diff_on hf
lemma times_cont_diff_within_at.cosh {n} (hf : times_cont_diff_within_at ℝ n f s x) :
times_cont_diff_within_at ℝ n (λ x, real.cosh (f x)) s x :=
real.times_cont_diff_cosh.times_cont_diff_at.comp_times_cont_diff_within_at x hf
/-! #### `real.sinh` -/
lemma has_strict_fderiv_at.sinh (hf : has_strict_fderiv_at f f' x) :
has_strict_fderiv_at (λ x, real.sinh (f x)) (real.cosh (f x) • f') x :=
(real.has_strict_deriv_at_sinh (f x)).comp_has_strict_fderiv_at x hf
lemma has_fderiv_at.sinh (hf : has_fderiv_at f f' x) :
has_fderiv_at (λ x, real.sinh (f x)) (real.cosh (f x) • f') x :=
(real.has_deriv_at_sinh (f x)).comp_has_fderiv_at x hf
lemma has_fderiv_within_at.sinh (hf : has_fderiv_within_at f f' s x) :
has_fderiv_within_at (λ x, real.sinh (f x)) (real.cosh (f x) • f') s x :=
(real.has_deriv_at_sinh (f x)).comp_has_fderiv_within_at x hf
lemma differentiable_within_at.sinh (hf : differentiable_within_at ℝ f s x) :
differentiable_within_at ℝ (λ x, real.sinh (f x)) s x :=
hf.has_fderiv_within_at.sinh.differentiable_within_at
@[simp] lemma differentiable_at.sinh (hc : differentiable_at ℝ f x) :
differentiable_at ℝ (λx, real.sinh (f x)) x :=
hc.has_fderiv_at.sinh.differentiable_at
lemma differentiable_on.sinh (hc : differentiable_on ℝ f s) :
differentiable_on ℝ (λx, real.sinh (f x)) s :=
λx h, (hc x h).sinh
@[simp] lemma differentiable.sinh (hc : differentiable ℝ f) :
differentiable ℝ (λx, real.sinh (f x)) :=
λx, (hc x).sinh
lemma fderiv_within_sinh (hf : differentiable_within_at ℝ f s x)
(hxs : unique_diff_within_at ℝ s x) :
fderiv_within ℝ (λx, real.sinh (f x)) s x = real.cosh (f x) • (fderiv_within ℝ f s x) :=
hf.has_fderiv_within_at.sinh.fderiv_within hxs
@[simp] lemma fderiv_sinh (hc : differentiable_at ℝ f x) :
fderiv ℝ (λx, real.sinh (f x)) x = real.cosh (f x) • (fderiv ℝ f x) :=
hc.has_fderiv_at.sinh.fderiv
lemma times_cont_diff.sinh {n} (h : times_cont_diff ℝ n f) :
times_cont_diff ℝ n (λ x, real.sinh (f x)) :=
real.times_cont_diff_sinh.comp h
lemma times_cont_diff_at.sinh {n} (hf : times_cont_diff_at ℝ n f x) :
times_cont_diff_at ℝ n (λ x, real.sinh (f x)) x :=
real.times_cont_diff_sinh.times_cont_diff_at.comp x hf
lemma times_cont_diff_on.sinh {n} (hf : times_cont_diff_on ℝ n f s) :
times_cont_diff_on ℝ n (λ x, real.sinh (f x)) s :=
real.times_cont_diff_sinh.comp_times_cont_diff_on hf
lemma times_cont_diff_within_at.sinh {n} (hf : times_cont_diff_within_at ℝ n f s x) :
times_cont_diff_within_at ℝ n (λ x, real.sinh (f x)) s x :=
real.times_cont_diff_sinh.times_cont_diff_at.comp_times_cont_diff_within_at x hf
end
namespace real
lemma exists_cos_eq_zero : 0 ∈ cos '' Icc (1:ℝ) 2 :=
intermediate_value_Icc' (by norm_num) continuous_on_cos
⟨le_of_lt cos_two_neg, le_of_lt cos_one_pos⟩
/-- The number π = 3.14159265... Defined here using choice as twice a zero of cos in [1,2], from
which one can derive all its properties. For explicit bounds on π, see `data.real.pi`. -/
protected noncomputable def pi : ℝ := 2 * classical.some exists_cos_eq_zero
localized "notation `π` := real.pi" in real
@[simp] lemma cos_pi_div_two : cos (π / 2) = 0 :=
by rw [real.pi, mul_div_cancel_left _ (@two_ne_zero' ℝ _ _ _)];
exact (classical.some_spec exists_cos_eq_zero).2
lemma one_le_pi_div_two : (1 : ℝ) ≤ π / 2 :=
by rw [real.pi, mul_div_cancel_left _ (@two_ne_zero' ℝ _ _ _)];
exact (classical.some_spec exists_cos_eq_zero).1.1
lemma pi_div_two_le_two : π / 2 ≤ 2 :=
by rw [real.pi, mul_div_cancel_left _ (@two_ne_zero' ℝ _ _ _)];
exact (classical.some_spec exists_cos_eq_zero).1.2
lemma two_le_pi : (2 : ℝ) ≤ π :=
(div_le_div_right (show (0 : ℝ) < 2, by norm_num)).1
(by rw div_self (@two_ne_zero' ℝ _ _ _); exact one_le_pi_div_two)
lemma pi_le_four : π ≤ 4 :=
(div_le_div_right (show (0 : ℝ) < 2, by norm_num)).1
(calc π / 2 ≤ 2 : pi_div_two_le_two
... = 4 / 2 : by norm_num)
lemma pi_pos : 0 < π :=
lt_of_lt_of_le (by norm_num) two_le_pi
lemma pi_ne_zero : π ≠ 0 :=
ne_of_gt pi_pos
lemma pi_div_two_pos : 0 < π / 2 :=
half_pos pi_pos
lemma two_pi_pos : 0 < 2 * π :=
by linarith [pi_pos]
end real
namespace nnreal
open real
open_locale real nnreal
/-- `π` considered as a nonnegative real. -/
noncomputable def pi : ℝ≥0 := ⟨π, real.pi_pos.le⟩
@[simp] lemma coe_real_pi : (pi : ℝ) = π := rfl
lemma pi_pos : 0 < pi := by exact_mod_cast real.pi_pos
lemma pi_ne_zero : pi ≠ 0 := pi_pos.ne'
end nnreal
namespace real
open_locale real
@[simp] lemma sin_pi : sin π = 0 :=
by rw [← mul_div_cancel_left π (@two_ne_zero ℝ _ _), two_mul, add_div,
sin_add, cos_pi_div_two]; simp
@[simp] lemma cos_pi : cos π = -1 :=
by rw [← mul_div_cancel_left π (@two_ne_zero ℝ _ _), mul_div_assoc,
cos_two_mul, cos_pi_div_two];
simp [bit0, pow_add]
@[simp] lemma sin_two_pi : sin (2 * π) = 0 :=
by simp [two_mul, sin_add]
@[simp] lemma cos_two_pi : cos (2 * π) = 1 :=
by simp [two_mul, cos_add]
lemma sin_antiperiodic : function.antiperiodic sin π :=
by simp [sin_add]
lemma sin_periodic : function.periodic sin (2 * π) :=
sin_antiperiodic.periodic
lemma sin_add_pi (x : ℝ) : sin (x + π) = -sin x :=
sin_antiperiodic x
lemma sin_add_two_pi (x : ℝ) : sin (x + 2 * π) = sin x :=
sin_periodic x
lemma sin_sub_pi (x : ℝ) : sin (x - π) = -sin x :=
sin_antiperiodic.sub_eq x
lemma sin_sub_two_pi (x : ℝ) : sin (x - 2 * π) = sin x :=
sin_periodic.sub_eq x
lemma sin_pi_sub (x : ℝ) : sin (π - x) = sin x :=
neg_neg (sin x) ▸ sin_neg x ▸ sin_antiperiodic.sub_eq'
lemma sin_two_pi_sub (x : ℝ) : sin (2 * π - x) = -sin x :=
sin_neg x ▸ sin_periodic.sub_eq'
lemma sin_nat_mul_pi (n : ℕ) : sin (n * π) = 0 :=
sin_antiperiodic.nat_mul_eq_of_eq_zero sin_zero n
lemma sin_int_mul_pi (n : ℤ) : sin (n * π) = 0 :=
sin_antiperiodic.int_mul_eq_of_eq_zero sin_zero n
lemma sin_add_nat_mul_two_pi (x : ℝ) (n : ℕ) : sin (x + n * (2 * π)) = sin x :=
sin_periodic.nat_mul n x
lemma sin_add_int_mul_two_pi (x : ℝ) (n : ℤ) : sin (x + n * (2 * π)) = sin x :=
sin_periodic.int_mul n x
lemma sin_sub_nat_mul_two_pi (x : ℝ) (n : ℕ) : sin (x - n * (2 * π)) = sin x :=
sin_periodic.sub_nat_mul_eq n
lemma sin_sub_int_mul_two_pi (x : ℝ) (n : ℤ) : sin (x - n * (2 * π)) = sin x :=
sin_periodic.sub_int_mul_eq n
lemma sin_nat_mul_two_pi_sub (x : ℝ) (n : ℕ) : sin (n * (2 * π) - x) = -sin x :=
sin_neg x ▸ sin_periodic.nat_mul_sub_eq n
lemma sin_int_mul_two_pi_sub (x : ℝ) (n : ℤ) : sin (n * (2 * π) - x) = -sin x :=
sin_neg x ▸ sin_periodic.int_mul_sub_eq n
lemma cos_antiperiodic : function.antiperiodic cos π :=
by simp [cos_add]
lemma cos_periodic : function.periodic cos (2 * π) :=
cos_antiperiodic.periodic
lemma cos_add_pi (x : ℝ) : cos (x + π) = -cos x :=
cos_antiperiodic x
lemma cos_add_two_pi (x : ℝ) : cos (x + 2 * π) = cos x :=
cos_periodic x
lemma cos_sub_pi (x : ℝ) : cos (x - π) = -cos x :=
cos_antiperiodic.sub_eq x
lemma cos_sub_two_pi (x : ℝ) : cos (x - 2 * π) = cos x :=
cos_periodic.sub_eq x
lemma cos_pi_sub (x : ℝ) : cos (π - x) = -cos x :=
cos_neg x ▸ cos_antiperiodic.sub_eq'
lemma cos_two_pi_sub (x : ℝ) : cos (2 * π - x) = cos x :=
cos_neg x ▸ cos_periodic.sub_eq'
lemma cos_nat_mul_two_pi (n : ℕ) : cos (n * (2 * π)) = 1 :=
(cos_periodic.nat_mul_eq n).trans cos_zero
lemma cos_int_mul_two_pi (n : ℤ) : cos (n * (2 * π)) = 1 :=
(cos_periodic.int_mul_eq n).trans cos_zero
lemma cos_add_nat_mul_two_pi (x : ℝ) (n : ℕ) : cos (x + n * (2 * π)) = cos x :=
cos_periodic.nat_mul n x
lemma cos_add_int_mul_two_pi (x : ℝ) (n : ℤ) : cos (x + n * (2 * π)) = cos x :=
cos_periodic.int_mul n x
lemma cos_sub_nat_mul_two_pi (x : ℝ) (n : ℕ) : cos (x - n * (2 * π)) = cos x :=
cos_periodic.sub_nat_mul_eq n
lemma cos_sub_int_mul_two_pi (x : ℝ) (n : ℤ) : cos (x - n * (2 * π)) = cos x :=
cos_periodic.sub_int_mul_eq n
lemma cos_nat_mul_two_pi_sub (x : ℝ) (n : ℕ) : cos (n * (2 * π) - x) = cos x :=
cos_neg x ▸ cos_periodic.nat_mul_sub_eq n
lemma cos_int_mul_two_pi_sub (x : ℝ) (n : ℤ) : cos (n * (2 * π) - x) = cos x :=
cos_neg x ▸ cos_periodic.int_mul_sub_eq n
lemma cos_nat_mul_two_pi_add_pi (n : ℕ) : cos (n * (2 * π) + π) = -1 :=
by simpa only [cos_zero] using (cos_periodic.nat_mul n).add_antiperiod_eq cos_antiperiodic
lemma cos_int_mul_two_pi_add_pi (n : ℤ) : cos (n * (2 * π) + π) = -1 :=
by simpa only [cos_zero] using (cos_periodic.int_mul n).add_antiperiod_eq cos_antiperiodic
lemma cos_nat_mul_two_pi_sub_pi (n : ℕ) : cos (n * (2 * π) - π) = -1 :=
by simpa only [cos_zero] using (cos_periodic.nat_mul n).sub_antiperiod_eq cos_antiperiodic
lemma cos_int_mul_two_pi_sub_pi (n : ℤ) : cos (n * (2 * π) - π) = -1 :=
by simpa only [cos_zero] using (cos_periodic.int_mul n).sub_antiperiod_eq cos_antiperiodic
lemma sin_pos_of_pos_of_lt_pi {x : ℝ} (h0x : 0 < x) (hxp : x < π) : 0 < sin x :=
if hx2 : x ≤ 2 then sin_pos_of_pos_of_le_two h0x hx2
else
have (2 : ℝ) + 2 = 4, from rfl,
have π - x ≤ 2, from sub_le_iff_le_add.2
(le_trans pi_le_four (this ▸ add_le_add_left (le_of_not_ge hx2) _)),
sin_pi_sub x ▸ sin_pos_of_pos_of_le_two (sub_pos.2 hxp) this
lemma sin_pos_of_mem_Ioo {x : ℝ} (hx : x ∈ Ioo 0 π) : 0 < sin x :=
sin_pos_of_pos_of_lt_pi hx.1 hx.2
lemma sin_nonneg_of_mem_Icc {x : ℝ} (hx : x ∈ Icc 0 π) : 0 ≤ sin x :=
begin
rw ← closure_Ioo pi_pos at hx,
exact closure_lt_subset_le continuous_const continuous_sin
(closure_mono (λ y, sin_pos_of_mem_Ioo) hx)
end
lemma sin_nonneg_of_nonneg_of_le_pi {x : ℝ} (h0x : 0 ≤ x) (hxp : x ≤ π) : 0 ≤ sin x :=
sin_nonneg_of_mem_Icc ⟨h0x, hxp⟩
lemma sin_neg_of_neg_of_neg_pi_lt {x : ℝ} (hx0 : x < 0) (hpx : -π < x) : sin x < 0 :=
neg_pos.1 $ sin_neg x ▸ sin_pos_of_pos_of_lt_pi (neg_pos.2 hx0) (neg_lt.1 hpx)
lemma sin_nonpos_of_nonnpos_of_neg_pi_le {x : ℝ} (hx0 : x ≤ 0) (hpx : -π ≤ x) : sin x ≤ 0 :=
neg_nonneg.1 $ sin_neg x ▸ sin_nonneg_of_nonneg_of_le_pi (neg_nonneg.2 hx0) (neg_le.1 hpx)
@[simp] lemma sin_pi_div_two : sin (π / 2) = 1 :=
have sin (π / 2) = 1 ∨ sin (π / 2) = -1 :=
by simpa [sq, mul_self_eq_one_iff] using sin_sq_add_cos_sq (π / 2),
this.resolve_right
(λ h, (show ¬(0 : ℝ) < -1, by norm_num) $
h ▸ sin_pos_of_pos_of_lt_pi pi_div_two_pos (half_lt_self pi_pos))
lemma sin_add_pi_div_two (x : ℝ) : sin (x + π / 2) = cos x :=
by simp [sin_add]
lemma sin_sub_pi_div_two (x : ℝ) : sin (x - π / 2) = -cos x :=
by simp [sub_eq_add_neg, sin_add]
lemma sin_pi_div_two_sub (x : ℝ) : sin (π / 2 - x) = cos x :=
by simp [sub_eq_add_neg, sin_add]
lemma cos_add_pi_div_two (x : ℝ) : cos (x + π / 2) = -sin x :=
by simp [cos_add]
lemma cos_sub_pi_div_two (x : ℝ) : cos (x - π / 2) = sin x :=
by simp [sub_eq_add_neg, cos_add]
lemma cos_pi_div_two_sub (x : ℝ) : cos (π / 2 - x) = sin x :=
by rw [← cos_neg, neg_sub, cos_sub_pi_div_two]
lemma cos_pos_of_mem_Ioo {x : ℝ} (hx : x ∈ Ioo (-(π / 2)) (π / 2)) : 0 < cos x :=
sin_add_pi_div_two x ▸ sin_pos_of_mem_Ioo ⟨by linarith [hx.1], by linarith [hx.2]⟩
lemma cos_nonneg_of_mem_Icc {x : ℝ} (hx : x ∈ Icc (-(π / 2)) (π / 2)) : 0 ≤ cos x :=
sin_add_pi_div_two x ▸ sin_nonneg_of_mem_Icc ⟨by linarith [hx.1], by linarith [hx.2]⟩
lemma cos_nonneg_of_neg_pi_div_two_le_of_le {x : ℝ} (hl : -(π / 2) ≤ x) (hu : x ≤ π / 2) :
0 ≤ cos x :=
cos_nonneg_of_mem_Icc ⟨hl, hu⟩
lemma cos_neg_of_pi_div_two_lt_of_lt {x : ℝ} (hx₁ : π / 2 < x) (hx₂ : x < π + π / 2) : cos x < 0 :=
neg_pos.1 $ cos_pi_sub x ▸ cos_pos_of_mem_Ioo ⟨by linarith, by linarith⟩
lemma cos_nonpos_of_pi_div_two_le_of_le {x : ℝ} (hx₁ : π / 2 ≤ x) (hx₂ : x ≤ π + π / 2) :
cos x ≤ 0 :=
neg_nonneg.1 $ cos_pi_sub x ▸ cos_nonneg_of_mem_Icc ⟨by linarith, by linarith⟩
lemma sin_eq_sqrt_one_sub_cos_sq {x : ℝ} (hl : 0 ≤ x) (hu : x ≤ π) :
sin x = sqrt (1 - cos x ^ 2) :=
by rw [← abs_sin_eq_sqrt_one_sub_cos_sq, abs_of_nonneg (sin_nonneg_of_nonneg_of_le_pi hl hu)]
lemma cos_eq_sqrt_one_sub_sin_sq {x : ℝ} (hl : -(π / 2) ≤ x) (hu : x ≤ π / 2) :
cos x = sqrt (1 - sin x ^ 2) :=
by rw [← abs_cos_eq_sqrt_one_sub_sin_sq, abs_of_nonneg (cos_nonneg_of_mem_Icc ⟨hl, hu⟩)]
lemma sin_eq_zero_iff_of_lt_of_lt {x : ℝ} (hx₁ : -π < x) (hx₂ : x < π) :
sin x = 0 ↔ x = 0 :=
⟨λ h, le_antisymm
(le_of_not_gt (λ h0, lt_irrefl (0 : ℝ) $
calc 0 < sin x : sin_pos_of_pos_of_lt_pi h0 hx₂
... = 0 : h))
(le_of_not_gt (λ h0, lt_irrefl (0 : ℝ) $
calc 0 = sin x : h.symm
... < 0 : sin_neg_of_neg_of_neg_pi_lt h0 hx₁)),
λ h, by simp [h]⟩
lemma sin_eq_zero_iff {x : ℝ} : sin x = 0 ↔ ∃ n : ℤ, (n : ℝ) * π = x :=
⟨λ h, ⟨⌊x / π⌋, le_antisymm (sub_nonneg.1 (sub_floor_div_mul_nonneg _ pi_pos))
(sub_nonpos.1 $ le_of_not_gt $ λ h₃,
(sin_pos_of_pos_of_lt_pi h₃ (sub_floor_div_mul_lt _ pi_pos)).ne
(by simp [sub_eq_add_neg, sin_add, h, sin_int_mul_pi]))⟩,
λ ⟨n, hn⟩, hn ▸ sin_int_mul_pi _⟩
lemma sin_ne_zero_iff {x : ℝ} : sin x ≠ 0 ↔ ∀ n : ℤ, (n : ℝ) * π ≠ x :=
by rw [← not_exists, not_iff_not, sin_eq_zero_iff]
lemma sin_eq_zero_iff_cos_eq {x : ℝ} : sin x = 0 ↔ cos x = 1 ∨ cos x = -1 :=
by rw [← mul_self_eq_one_iff, ← sin_sq_add_cos_sq x,
sq, sq, ← sub_eq_iff_eq_add, sub_self];
exact ⟨λ h, by rw [h, mul_zero], eq_zero_of_mul_self_eq_zero ∘ eq.symm⟩
lemma cos_eq_one_iff (x : ℝ) : cos x = 1 ↔ ∃ n : ℤ, (n : ℝ) * (2 * π) = x :=
⟨λ h, let ⟨n, hn⟩ := sin_eq_zero_iff.1 (sin_eq_zero_iff_cos_eq.2 (or.inl h)) in
⟨n / 2, (int.mod_two_eq_zero_or_one n).elim
(λ hn0, by rwa [← mul_assoc, ← @int.cast_two ℝ, ← int.cast_mul, int.div_mul_cancel
((int.dvd_iff_mod_eq_zero _ _).2 hn0)])
(λ hn1, by rw [← int.mod_add_div n 2, hn1, int.cast_add, int.cast_one, add_mul,
one_mul, add_comm, mul_comm (2 : ℤ), int.cast_mul, mul_assoc, int.cast_two] at hn;
rw [← hn, cos_int_mul_two_pi_add_pi] at h;
exact absurd h (by norm_num))⟩,
λ ⟨n, hn⟩, hn ▸ cos_int_mul_two_pi _⟩
lemma cos_eq_one_iff_of_lt_of_lt {x : ℝ} (hx₁ : -(2 * π) < x) (hx₂ : x < 2 * π) :
cos x = 1 ↔ x = 0 :=
⟨λ h,
begin
rcases (cos_eq_one_iff _).1 h with ⟨n, rfl⟩,
rw [mul_lt_iff_lt_one_left two_pi_pos] at hx₂,
rw [neg_lt, neg_mul_eq_neg_mul, mul_lt_iff_lt_one_left two_pi_pos] at hx₁,
norm_cast at hx₁ hx₂,
obtain rfl : n = 0 := le_antisymm (by linarith) (by linarith),
simp
end,
λ h, by simp [h]⟩
lemma cos_lt_cos_of_nonneg_of_le_pi_div_two {x y : ℝ} (hx₁ : 0 ≤ x) (hy₂ : y ≤ π / 2)
(hxy : x < y) :
cos y < cos x :=
begin
rw [← sub_lt_zero, cos_sub_cos],
have : 0 < sin ((y + x) / 2),
{ refine sin_pos_of_pos_of_lt_pi _ _; linarith },
have : 0 < sin ((y - x) / 2),
{ refine sin_pos_of_pos_of_lt_pi _ _; linarith },
nlinarith,
end
lemma cos_lt_cos_of_nonneg_of_le_pi {x y : ℝ} (hx₁ : 0 ≤ x) (hy₂ : y ≤ π) (hxy : x < y) :
cos y < cos x :=
match (le_total x (π / 2) : x ≤ π / 2 ∨ π / 2 ≤ x), le_total y (π / 2) with
| or.inl hx, or.inl hy := cos_lt_cos_of_nonneg_of_le_pi_div_two hx₁ hy hxy
| or.inl hx, or.inr hy := (lt_or_eq_of_le hx).elim
(λ hx, calc cos y ≤ 0 : cos_nonpos_of_pi_div_two_le_of_le hy (by linarith [pi_pos])
... < cos x : cos_pos_of_mem_Ioo ⟨by linarith, hx⟩)
(λ hx, calc cos y < 0 : cos_neg_of_pi_div_two_lt_of_lt (by linarith) (by linarith [pi_pos])
... = cos x : by rw [hx, cos_pi_div_two])
| or.inr hx, or.inl hy := by linarith
| or.inr hx, or.inr hy := neg_lt_neg_iff.1 (by rw [← cos_pi_sub, ← cos_pi_sub];
apply cos_lt_cos_of_nonneg_of_le_pi_div_two; linarith)
end
lemma strict_mono_decr_on_cos : strict_mono_decr_on cos (Icc 0 π) :=
λ x hx y hy hxy, cos_lt_cos_of_nonneg_of_le_pi hx.1 hy.2 hxy
lemma cos_le_cos_of_nonneg_of_le_pi {x y : ℝ} (hx₁ : 0 ≤ x) (hy₂ : y ≤ π) (hxy : x ≤ y) :
cos y ≤ cos x :=
(strict_mono_decr_on_cos.le_iff_le ⟨hx₁.trans hxy, hy₂⟩ ⟨hx₁, hxy.trans hy₂⟩).2 hxy
lemma sin_lt_sin_of_lt_of_le_pi_div_two {x y : ℝ} (hx₁ : -(π / 2) ≤ x)
(hy₂ : y ≤ π / 2) (hxy : x < y) : sin x < sin y :=
by rw [← cos_sub_pi_div_two, ← cos_sub_pi_div_two, ← cos_neg (x - _), ← cos_neg (y - _)];
apply cos_lt_cos_of_nonneg_of_le_pi; linarith
lemma strict_mono_incr_on_sin : strict_mono_incr_on sin (Icc (-(π / 2)) (π / 2)) :=
λ x hx y hy hxy, sin_lt_sin_of_lt_of_le_pi_div_two hx.1 hy.2 hxy
lemma sin_le_sin_of_le_of_le_pi_div_two {x y : ℝ} (hx₁ : -(π / 2) ≤ x)
(hy₂ : y ≤ π / 2) (hxy : x ≤ y) : sin x ≤ sin y :=
(strict_mono_incr_on_sin.le_iff_le ⟨hx₁, hxy.trans hy₂⟩ ⟨hx₁.trans hxy, hy₂⟩).2 hxy
lemma inj_on_sin : inj_on sin (Icc (-(π / 2)) (π / 2)) :=
strict_mono_incr_on_sin.inj_on
lemma inj_on_cos : inj_on cos (Icc 0 π) := strict_mono_decr_on_cos.inj_on
lemma surj_on_sin : surj_on sin (Icc (-(π / 2)) (π / 2)) (Icc (-1) 1) :=
by simpa only [sin_neg, sin_pi_div_two]
using intermediate_value_Icc (neg_le_self pi_div_two_pos.le) continuous_sin.continuous_on
lemma surj_on_cos : surj_on cos (Icc 0 π) (Icc (-1) 1) :=
by simpa only [cos_zero, cos_pi]
using intermediate_value_Icc' pi_pos.le continuous_cos.continuous_on
lemma sin_mem_Icc (x : ℝ) : sin x ∈ Icc (-1 : ℝ) 1 := ⟨neg_one_le_sin x, sin_le_one x⟩
lemma cos_mem_Icc (x : ℝ) : cos x ∈ Icc (-1 : ℝ) 1 := ⟨neg_one_le_cos x, cos_le_one x⟩
lemma maps_to_sin (s : set ℝ) : maps_to sin s (Icc (-1 : ℝ) 1) := λ x _, sin_mem_Icc x
lemma maps_to_cos (s : set ℝ) : maps_to cos s (Icc (-1 : ℝ) 1) := λ x _, cos_mem_Icc x
lemma bij_on_sin : bij_on sin (Icc (-(π / 2)) (π / 2)) (Icc (-1) 1) :=
⟨maps_to_sin _, inj_on_sin, surj_on_sin⟩
lemma bij_on_cos : bij_on cos (Icc 0 π) (Icc (-1) 1) :=
⟨maps_to_cos _, inj_on_cos, surj_on_cos⟩
@[simp] lemma range_cos : range cos = (Icc (-1) 1 : set ℝ) :=
subset.antisymm (range_subset_iff.2 cos_mem_Icc) surj_on_cos.subset_range
@[simp] lemma range_sin : range sin = (Icc (-1) 1 : set ℝ) :=
subset.antisymm (range_subset_iff.2 sin_mem_Icc) surj_on_sin.subset_range
lemma range_cos_infinite : (range real.cos).infinite :=
by { rw real.range_cos, exact Icc.infinite (by norm_num) }
lemma range_sin_infinite : (range real.sin).infinite :=
by { rw real.range_sin, exact Icc.infinite (by norm_num) }
lemma sin_lt {x : ℝ} (h : 0 < x) : sin x < x :=
begin
cases le_or_gt x 1 with h' h',
{ have hx : abs x = x := abs_of_nonneg (le_of_lt h),
have : abs x ≤ 1, rwa [hx],
have := sin_bound this, rw [abs_le] at this,
have := this.2, rw [sub_le_iff_le_add', hx] at this,
apply lt_of_le_of_lt this, rw [sub_add], apply lt_of_lt_of_le _ (le_of_eq (sub_zero x)),
apply sub_lt_sub_left, rw [sub_pos, div_eq_mul_inv (x ^ 3)], apply mul_lt_mul',
{ rw [pow_succ x 3], refine le_trans _ (le_of_eq (one_mul _)),
rw mul_le_mul_right, exact h', apply pow_pos h },
norm_num, norm_num, apply pow_pos h },
exact lt_of_le_of_lt (sin_le_one x) h'
end
/- note 1: this inequality is not tight, the tighter inequality is sin x > x - x ^ 3 / 6.
note 2: this is also true for x > 1, but it's nontrivial for x just above 1. -/
lemma sin_gt_sub_cube {x : ℝ} (h : 0 < x) (h' : x ≤ 1) : x - x ^ 3 / 4 < sin x :=
begin
have hx : abs x = x := abs_of_nonneg (le_of_lt h),
have : abs x ≤ 1, rwa [hx],
have := sin_bound this, rw [abs_le] at this,
have := this.1, rw [le_sub_iff_add_le, hx] at this,
refine lt_of_lt_of_le _ this,
rw [add_comm, sub_add, sub_neg_eq_add], apply sub_lt_sub_left,
apply add_lt_of_lt_sub_left,
rw (show x ^ 3 / 4 - x ^ 3 / 6 = x ^ 3 * 12⁻¹,
by simp [div_eq_mul_inv, ← mul_sub]; norm_num),
apply mul_lt_mul',
{ rw [pow_succ x 3], refine le_trans _ (le_of_eq (one_mul _)),
rw mul_le_mul_right, exact h', apply pow_pos h },
norm_num, norm_num, apply pow_pos h
end
section cos_div_sq
variable (x : ℝ)
/-- the series `sqrt_two_add_series x n` is `sqrt(2 + sqrt(2 + ... ))` with `n` square roots,
starting with `x`. We define it here because `cos (pi / 2 ^ (n+1)) = sqrt_two_add_series 0 n / 2`
-/
@[simp, pp_nodot] noncomputable def sqrt_two_add_series (x : ℝ) : ℕ → ℝ
| 0 := x
| (n+1) := sqrt (2 + sqrt_two_add_series n)
lemma sqrt_two_add_series_zero : sqrt_two_add_series x 0 = x := by simp
lemma sqrt_two_add_series_one : sqrt_two_add_series 0 1 = sqrt 2 := by simp
lemma sqrt_two_add_series_two : sqrt_two_add_series 0 2 = sqrt (2 + sqrt 2) := by simp
lemma sqrt_two_add_series_zero_nonneg : ∀(n : ℕ), 0 ≤ sqrt_two_add_series 0 n
| 0 := le_refl 0
| (n+1) := sqrt_nonneg _
lemma sqrt_two_add_series_nonneg {x : ℝ} (h : 0 ≤ x) : ∀(n : ℕ), 0 ≤ sqrt_two_add_series x n
| 0 := h
| (n+1) := sqrt_nonneg _
lemma sqrt_two_add_series_lt_two : ∀(n : ℕ), sqrt_two_add_series 0 n < 2
| 0 := by norm_num
| (n+1) :=
begin
refine lt_of_lt_of_le _ (sqrt_sq zero_lt_two.le).le,
rw [sqrt_two_add_series, sqrt_lt_sqrt_iff, ← lt_sub_iff_add_lt'],
{ refine (sqrt_two_add_series_lt_two n).trans_le _, norm_num },
{ exact add_nonneg zero_le_two (sqrt_two_add_series_zero_nonneg n) }
end
lemma sqrt_two_add_series_succ (x : ℝ) :
∀(n : ℕ), sqrt_two_add_series x (n+1) = sqrt_two_add_series (sqrt (2 + x)) n
| 0 := rfl
| (n+1) := by rw [sqrt_two_add_series, sqrt_two_add_series_succ, sqrt_two_add_series]
lemma sqrt_two_add_series_monotone_left {x y : ℝ} (h : x ≤ y) :
∀(n : ℕ), sqrt_two_add_series x n ≤ sqrt_two_add_series y n
| 0 := h
| (n+1) :=
begin
rw [sqrt_two_add_series, sqrt_two_add_series],
exact sqrt_le_sqrt (add_le_add_left (sqrt_two_add_series_monotone_left _) _)
end
@[simp] lemma cos_pi_over_two_pow : ∀(n : ℕ), cos (π / 2 ^ (n+1)) = sqrt_two_add_series 0 n / 2
| 0 := by simp
| (n+1) :=
begin
have : (2 : ℝ) ≠ 0 := two_ne_zero,
symmetry, rw [div_eq_iff_mul_eq this], symmetry,
rw [sqrt_two_add_series, sqrt_eq_iff_sq_eq, mul_pow, cos_sq, ←mul_div_assoc,
nat.add_succ, pow_succ, mul_div_mul_left _ _ this, cos_pi_over_two_pow, add_mul],
congr, { norm_num },
rw [mul_comm, sq, mul_assoc, ←mul_div_assoc, mul_div_cancel_left, ←mul_div_assoc,
mul_div_cancel_left]; try { exact this },
apply add_nonneg, norm_num, apply sqrt_two_add_series_zero_nonneg, norm_num,
apply le_of_lt, apply cos_pos_of_mem_Ioo ⟨_, _⟩,
{ transitivity (0 : ℝ), rw neg_lt_zero, apply pi_div_two_pos,
apply div_pos pi_pos, apply pow_pos, norm_num },
apply div_lt_div' (le_refl π) _ pi_pos _,
refine lt_of_le_of_lt (le_of_eq (pow_one _).symm) _,
apply pow_lt_pow, norm_num, apply nat.succ_lt_succ, apply nat.succ_pos, all_goals {norm_num}
end
lemma sin_sq_pi_over_two_pow (n : ℕ) :
sin (π / 2 ^ (n+1)) ^ 2 = 1 - (sqrt_two_add_series 0 n / 2) ^ 2 :=
by rw [sin_sq, cos_pi_over_two_pow]
lemma sin_sq_pi_over_two_pow_succ (n : ℕ) :
sin (π / 2 ^ (n+2)) ^ 2 = 1 / 2 - sqrt_two_add_series 0 n / 4 :=
begin
rw [sin_sq_pi_over_two_pow, sqrt_two_add_series, div_pow, sq_sqrt, add_div, ←sub_sub],
congr, norm_num, norm_num, apply add_nonneg, norm_num, apply sqrt_two_add_series_zero_nonneg,
end
@[simp] lemma sin_pi_over_two_pow_succ (n : ℕ) :
sin (π / 2 ^ (n+2)) = sqrt (2 - sqrt_two_add_series 0 n) / 2 :=
begin
symmetry, rw [div_eq_iff_mul_eq], symmetry,
rw [sqrt_eq_iff_sq_eq, mul_pow, sin_sq_pi_over_two_pow_succ, sub_mul],
{ congr, norm_num, rw [mul_comm], convert mul_div_cancel' _ _, norm_num, norm_num },
{ rw [sub_nonneg], apply le_of_lt, apply sqrt_two_add_series_lt_two },
apply le_of_lt, apply mul_pos, apply sin_pos_of_pos_of_lt_pi,
{ apply div_pos pi_pos, apply pow_pos, norm_num },
refine lt_of_lt_of_le _ (le_of_eq (div_one _)), rw [div_lt_div_left],
refine lt_of_le_of_lt (le_of_eq (pow_zero 2).symm) _,
apply pow_lt_pow, norm_num, apply nat.succ_pos, apply pi_pos,
apply pow_pos, all_goals {norm_num}
end
@[simp] lemma cos_pi_div_four : cos (π / 4) = sqrt 2 / 2 :=
by { transitivity cos (π / 2 ^ 2), congr, norm_num, simp }
@[simp] lemma sin_pi_div_four : sin (π / 4) = sqrt 2 / 2 :=
by { transitivity sin (π / 2 ^ 2), congr, norm_num, simp }
@[simp] lemma cos_pi_div_eight : cos (π / 8) = sqrt (2 + sqrt 2) / 2 :=
by { transitivity cos (π / 2 ^ 3), congr, norm_num, simp }
@[simp] lemma sin_pi_div_eight : sin (π / 8) = sqrt (2 - sqrt 2) / 2 :=
by { transitivity sin (π / 2 ^ 3), congr, norm_num, simp }
@[simp] lemma cos_pi_div_sixteen : cos (π / 16) = sqrt (2 + sqrt (2 + sqrt 2)) / 2 :=
by { transitivity cos (π / 2 ^ 4), congr, norm_num, simp }
@[simp] lemma sin_pi_div_sixteen : sin (π / 16) = sqrt (2 - sqrt (2 + sqrt 2)) / 2 :=
by { transitivity sin (π / 2 ^ 4), congr, norm_num, simp }
@[simp] lemma cos_pi_div_thirty_two : cos (π / 32) = sqrt (2 + sqrt (2 + sqrt (2 + sqrt 2))) / 2 :=
by { transitivity cos (π / 2 ^ 5), congr, norm_num, simp }
@[simp] lemma sin_pi_div_thirty_two : sin (π / 32) = sqrt (2 - sqrt (2 + sqrt (2 + sqrt 2))) / 2 :=
by { transitivity sin (π / 2 ^ 5), congr, norm_num, simp }
-- This section is also a convenient location for other explicit values of `sin` and `cos`.
/-- The cosine of `π / 3` is `1 / 2`. -/
@[simp] lemma cos_pi_div_three : cos (π / 3) = 1 / 2 :=
begin
have h₁ : (2 * cos (π / 3) - 1) ^ 2 * (2 * cos (π / 3) + 2) = 0,
{ have : cos (3 * (π / 3)) = cos π := by { congr' 1, ring },
linarith [cos_pi, cos_three_mul (π / 3)] },
cases mul_eq_zero.mp h₁ with h h,
{ linarith [pow_eq_zero h] },
{ have : cos π < cos (π / 3),
{ refine cos_lt_cos_of_nonneg_of_le_pi _ rfl.ge _;
linarith [pi_pos] },
linarith [cos_pi] }
end
/-- The square of the cosine of `π / 6` is `3 / 4` (this is sometimes more convenient than the
result for cosine itself). -/
lemma sq_cos_pi_div_six : cos (π / 6) ^ 2 = 3 / 4 :=
begin
have h1 : cos (π / 6) ^ 2 = 1 / 2 + 1 / 2 / 2,
{ convert cos_sq (π / 6),
have h2 : 2 * (π / 6) = π / 3 := by cancel_denoms,
rw [h2, cos_pi_div_three] },
rw ← sub_eq_zero at h1 ⊢,
convert h1 using 1,
ring
end
/-- The cosine of `π / 6` is `√3 / 2`. -/
@[simp] lemma cos_pi_div_six : cos (π / 6) = (sqrt 3) / 2 :=
begin
suffices : sqrt 3 = cos (π / 6) * 2,
{ field_simp [(by norm_num : 0 ≠ 2)], exact this.symm },
rw sqrt_eq_iff_sq_eq,
{ have h1 := (mul_right_inj' (by norm_num : (4:ℝ) ≠ 0)).mpr sq_cos_pi_div_six,
rw ← sub_eq_zero at h1 ⊢,
convert h1 using 1,
ring },
{ norm_num },
{ have : 0 < cos (π / 6) := by { apply cos_pos_of_mem_Ioo; split; linarith [pi_pos] },
linarith },
end
/-- The sine of `π / 6` is `1 / 2`. -/
@[simp] lemma sin_pi_div_six : sin (π / 6) = 1 / 2 :=
begin
rw [← cos_pi_div_two_sub, ← cos_pi_div_three],
congr,
ring
end
/-- The square of the sine of `π / 3` is `3 / 4` (this is sometimes more convenient than the
result for cosine itself). -/
lemma sq_sin_pi_div_three : sin (π / 3) ^ 2 = 3 / 4 :=
begin
rw [← cos_pi_div_two_sub, ← sq_cos_pi_div_six],
congr,
ring
end
/-- The sine of `π / 3` is `√3 / 2`. -/
@[simp] lemma sin_pi_div_three : sin (π / 3) = (sqrt 3) / 2 :=
begin
rw [← cos_pi_div_two_sub, ← cos_pi_div_six],
congr,
ring
end
end cos_div_sq
/-- The type of angles -/
def angle : Type :=
quotient_add_group.quotient (add_subgroup.gmultiples (2 * π))
namespace angle
instance angle.add_comm_group : add_comm_group angle :=
quotient_add_group.add_comm_group _
instance : inhabited angle := ⟨0⟩
instance angle.has_coe : has_coe ℝ angle :=
⟨quotient.mk'⟩
@[simp] lemma coe_zero : ↑(0 : ℝ) = (0 : angle) := rfl
@[simp] lemma coe_add (x y : ℝ) : ↑(x + y : ℝ) = (↑x + ↑y : angle) := rfl
@[simp] lemma coe_neg (x : ℝ) : ↑(-x : ℝ) = -(↑x : angle) := rfl
@[simp] lemma coe_sub (x y : ℝ) : ↑(x - y : ℝ) = (↑x - ↑y : angle) :=
by rw [sub_eq_add_neg, sub_eq_add_neg, coe_add, coe_neg]
@[simp, norm_cast] lemma coe_nat_mul_eq_nsmul (x : ℝ) (n : ℕ) :
↑((n : ℝ) * x) = n • (↑x : angle) :=
by simpa using add_monoid_hom.map_nsmul ⟨coe, coe_zero, coe_add⟩ _ _
@[simp, norm_cast] lemma coe_int_mul_eq_gsmul (x : ℝ) (n : ℤ) :
↑((n : ℝ) * x : ℝ) = n • (↑x : angle) :=
by simpa using add_monoid_hom.map_gsmul ⟨coe, coe_zero, coe_add⟩ _ _
@[simp] lemma coe_two_pi : ↑(2 * π : ℝ) = (0 : angle) :=
quotient.sound' ⟨-1, show (-1 : ℤ) • (2 * π) = _, by rw [neg_one_gsmul, add_zero]⟩
lemma angle_eq_iff_two_pi_dvd_sub {ψ θ : ℝ} : (θ : angle) = ψ ↔ ∃ k : ℤ, θ - ψ = 2 * π * k :=
by simp only [quotient_add_group.eq, add_subgroup.gmultiples_eq_closure,
add_subgroup.mem_closure_singleton, gsmul_eq_mul', (sub_eq_neg_add _ _).symm, eq_comm]
theorem cos_eq_iff_eq_or_eq_neg {θ ψ : ℝ} : cos θ = cos ψ ↔ (θ : angle) = ψ ∨ (θ : angle) = -ψ :=
begin
split,
{ intro Hcos,
rw [← sub_eq_zero, cos_sub_cos, mul_eq_zero, mul_eq_zero, neg_eq_zero,
eq_false_intro two_ne_zero, false_or, sin_eq_zero_iff, sin_eq_zero_iff] at Hcos,
rcases Hcos with ⟨n, hn⟩ | ⟨n, hn⟩,
{ right,
rw [eq_div_iff_mul_eq (@two_ne_zero ℝ _ _), ← sub_eq_iff_eq_add] at hn,
rw [← hn, coe_sub, eq_neg_iff_add_eq_zero, sub_add_cancel, mul_assoc,
coe_int_mul_eq_gsmul, mul_comm, coe_two_pi, gsmul_zero] },
{ left,
rw [eq_div_iff_mul_eq (@two_ne_zero ℝ _ _), eq_sub_iff_add_eq] at hn,
rw [← hn, coe_add, mul_assoc,
coe_int_mul_eq_gsmul, mul_comm, coe_two_pi, gsmul_zero, zero_add] },
apply_instance, },
{ rw [angle_eq_iff_two_pi_dvd_sub, ← coe_neg, angle_eq_iff_two_pi_dvd_sub],
rintro (⟨k, H⟩ | ⟨k, H⟩),
rw [← sub_eq_zero, cos_sub_cos, H, mul_assoc 2 π k,
mul_div_cancel_left _ (@two_ne_zero ℝ _ _), mul_comm π _, sin_int_mul_pi, mul_zero],
rw [← sub_eq_zero, cos_sub_cos, ← sub_neg_eq_add, H, mul_assoc 2 π k,
mul_div_cancel_left _ (@two_ne_zero ℝ _ _), mul_comm π _, sin_int_mul_pi, mul_zero,
zero_mul] }
end
theorem sin_eq_iff_eq_or_add_eq_pi {θ ψ : ℝ} :
sin θ = sin ψ ↔ (θ : angle) = ψ ∨ (θ : angle) + ψ = π :=
begin
split,
{ intro Hsin, rw [← cos_pi_div_two_sub, ← cos_pi_div_two_sub] at Hsin,
cases cos_eq_iff_eq_or_eq_neg.mp Hsin with h h,
{ left, rw [coe_sub, coe_sub] at h, exact sub_right_inj.1 h },
right, rw [coe_sub, coe_sub, eq_neg_iff_add_eq_zero, add_sub,
sub_add_eq_add_sub, ← coe_add, add_halves, sub_sub, sub_eq_zero] at h,
exact h.symm },
{ rw [angle_eq_iff_two_pi_dvd_sub, ←eq_sub_iff_add_eq, ←coe_sub, angle_eq_iff_two_pi_dvd_sub],
rintro (⟨k, H⟩ | ⟨k, H⟩),
rw [← sub_eq_zero, sin_sub_sin, H, mul_assoc 2 π k,
mul_div_cancel_left _ (@two_ne_zero ℝ _ _), mul_comm π _, sin_int_mul_pi, mul_zero,
zero_mul],
have H' : θ + ψ = (2 * k) * π + π := by rwa [←sub_add, sub_add_eq_add_sub, sub_eq_iff_eq_add,
mul_assoc, mul_comm π _, ←mul_assoc] at H,
rw [← sub_eq_zero, sin_sub_sin, H', add_div, mul_assoc 2 _ π,
mul_div_cancel_left _ (@two_ne_zero ℝ _ _), cos_add_pi_div_two, sin_int_mul_pi, neg_zero,
mul_zero] }
end
theorem cos_sin_inj {θ ψ : ℝ} (Hcos : cos θ = cos ψ) (Hsin : sin θ = sin ψ) : (θ : angle) = ψ :=
begin
cases cos_eq_iff_eq_or_eq_neg.mp Hcos with hc hc, { exact hc },
cases sin_eq_iff_eq_or_add_eq_pi.mp Hsin with hs hs, { exact hs },
rw [eq_neg_iff_add_eq_zero, hs] at hc,
cases quotient.exact' hc with n hn, change n • _ = _ at hn,
rw [← neg_one_mul, add_zero, ← sub_eq_zero, gsmul_eq_mul, ← mul_assoc, ← sub_mul,
mul_eq_zero, eq_false_intro (ne_of_gt pi_pos), or_false, sub_neg_eq_add,
← int.cast_zero, ← int.cast_one, ← int.cast_bit0, ← int.cast_mul, ← int.cast_add,
int.cast_inj] at hn,
have : (n * 2 + 1) % (2:ℤ) = 0 % (2:ℤ) := congr_arg (%(2:ℤ)) hn,
rw [add_comm, int.add_mul_mod_self] at this,
exact absurd this one_ne_zero
end
end angle
/-- `real.sin` as an `order_iso` between `[-(π / 2), π / 2]` and `[-1, 1]`. -/
def sin_order_iso : Icc (-(π / 2)) (π / 2) ≃o Icc (-1:ℝ) 1 :=
(strict_mono_incr_on_sin.order_iso _ _).trans $ order_iso.set_congr _ _ bij_on_sin.image_eq
@[simp] lemma coe_sin_order_iso_apply (x : Icc (-(π / 2)) (π / 2)) :
(sin_order_iso x : ℝ) = sin x := rfl
lemma sin_order_iso_apply (x : Icc (-(π / 2)) (π / 2)) :
sin_order_iso x = ⟨sin x, sin_mem_Icc x⟩ := rfl
/-- Inverse of the `sin` function, returns values in the range `-π / 2 ≤ arcsin x ≤ π / 2`.
It defaults to `-π / 2` on `(-∞, -1)` and to `π / 2` to `(1, ∞)`. -/
@[pp_nodot] noncomputable def arcsin : ℝ → ℝ :=
coe ∘ Icc_extend (neg_le_self zero_le_one) sin_order_iso.symm
lemma arcsin_mem_Icc (x : ℝ) : arcsin x ∈ Icc (-(π / 2)) (π / 2) := subtype.coe_prop _
@[simp] lemma range_arcsin : range arcsin = Icc (-(π / 2)) (π / 2) :=
by { rw [arcsin, range_comp coe], simp [Icc] }
lemma arcsin_le_pi_div_two (x : ℝ) : arcsin x ≤ π / 2 := (arcsin_mem_Icc x).2
lemma neg_pi_div_two_le_arcsin (x : ℝ) : -(π / 2) ≤ arcsin x := (arcsin_mem_Icc x).1
lemma arcsin_proj_Icc (x : ℝ) :
arcsin (proj_Icc (-1) 1 (neg_le_self $ @zero_le_one ℝ _) x) = arcsin x :=
by rw [arcsin, function.comp_app, Icc_extend_coe, function.comp_app, Icc_extend]
lemma sin_arcsin' {x : ℝ} (hx : x ∈ Icc (-1 : ℝ) 1) : sin (arcsin x) = x :=
by simpa [arcsin, Icc_extend_of_mem _ _ hx, -order_iso.apply_symm_apply]
using subtype.ext_iff.1 (sin_order_iso.apply_symm_apply ⟨x, hx⟩)
lemma sin_arcsin {x : ℝ} (hx₁ : -1 ≤ x) (hx₂ : x ≤ 1) : sin (arcsin x) = x :=
sin_arcsin' ⟨hx₁, hx₂⟩
lemma arcsin_sin' {x : ℝ} (hx : x ∈ Icc (-(π / 2)) (π / 2)) : arcsin (sin x) = x :=
inj_on_sin (arcsin_mem_Icc _) hx $ by rw [sin_arcsin (neg_one_le_sin _) (sin_le_one _)]
lemma arcsin_sin {x : ℝ} (hx₁ : -(π / 2) ≤ x) (hx₂ : x ≤ π / 2) : arcsin (sin x) = x :=
arcsin_sin' ⟨hx₁, hx₂⟩
lemma strict_mono_incr_on_arcsin : strict_mono_incr_on arcsin (Icc (-1) 1) :=
(subtype.strict_mono_coe _).comp_strict_mono_incr_on $
sin_order_iso.symm.strict_mono.strict_mono_incr_on_Icc_extend _
lemma monotone_arcsin : monotone arcsin :=
(subtype.mono_coe _).comp $ sin_order_iso.symm.monotone.Icc_extend _
lemma inj_on_arcsin : inj_on arcsin (Icc (-1) 1) := strict_mono_incr_on_arcsin.inj_on
lemma arcsin_inj {x y : ℝ} (hx₁ : -1 ≤ x) (hx₂ : x ≤ 1) (hy₁ : -1 ≤ y) (hy₂ : y ≤ 1) :
arcsin x = arcsin y ↔ x = y :=
inj_on_arcsin.eq_iff ⟨hx₁, hx₂⟩ ⟨hy₁, hy₂⟩
@[continuity]
lemma continuous_arcsin : continuous arcsin :=
continuous_subtype_coe.comp sin_order_iso.symm.continuous.Icc_extend
lemma continuous_at_arcsin {x : ℝ} : continuous_at arcsin x :=
continuous_arcsin.continuous_at
lemma arcsin_eq_of_sin_eq {x y : ℝ} (h₁ : sin x = y) (h₂ : x ∈ Icc (-(π / 2)) (π / 2)) :
arcsin y = x :=
begin
subst y,
exact inj_on_sin (arcsin_mem_Icc _) h₂ (sin_arcsin' (sin_mem_Icc x))
end
@[simp] lemma arcsin_zero : arcsin 0 = 0 :=
arcsin_eq_of_sin_eq sin_zero ⟨neg_nonpos.2 pi_div_two_pos.le, pi_div_two_pos.le⟩
@[simp] lemma arcsin_one : arcsin 1 = π / 2 :=
arcsin_eq_of_sin_eq sin_pi_div_two $ right_mem_Icc.2 (neg_le_self pi_div_two_pos.le)
lemma arcsin_of_one_le {x : ℝ} (hx : 1 ≤ x) : arcsin x = π / 2 :=
by rw [← arcsin_proj_Icc, proj_Icc_of_right_le _ hx, subtype.coe_mk, arcsin_one]
lemma arcsin_neg_one : arcsin (-1) = -(π / 2) :=
arcsin_eq_of_sin_eq (by rw [sin_neg, sin_pi_div_two]) $
left_mem_Icc.2 (neg_le_self pi_div_two_pos.le)
lemma arcsin_of_le_neg_one {x : ℝ} (hx : x ≤ -1) : arcsin x = -(π / 2) :=
by rw [← arcsin_proj_Icc, proj_Icc_of_le_left _ hx, subtype.coe_mk, arcsin_neg_one]
@[simp] lemma arcsin_neg (x : ℝ) : arcsin (-x) = -arcsin x :=
begin
cases le_total x (-1) with hx₁ hx₁,
{ rw [arcsin_of_le_neg_one hx₁, neg_neg, arcsin_of_one_le (le_neg.2 hx₁)] },
cases le_total 1 x with hx₂ hx₂,
{ rw [arcsin_of_one_le hx₂, arcsin_of_le_neg_one (neg_le_neg hx₂)] },
refine arcsin_eq_of_sin_eq _ _,
{ rw [sin_neg, sin_arcsin hx₁ hx₂] },
{ exact ⟨neg_le_neg (arcsin_le_pi_div_two _), neg_le.2 (neg_pi_div_two_le_arcsin _)⟩ }
end
lemma arcsin_le_iff_le_sin {x y : ℝ} (hx : x ∈ Icc (-1 : ℝ) 1) (hy : y ∈ Icc (-(π / 2)) (π / 2)) :
arcsin x ≤ y ↔ x ≤ sin y :=
by rw [← arcsin_sin' hy, strict_mono_incr_on_arcsin.le_iff_le hx (sin_mem_Icc _), arcsin_sin' hy]
lemma arcsin_le_iff_le_sin' {x y : ℝ} (hy : y ∈ Ico (-(π / 2)) (π / 2)) :
arcsin x ≤ y ↔ x ≤ sin y :=
begin
cases le_total x (-1) with hx₁ hx₁,
{ simp [arcsin_of_le_neg_one hx₁, hy.1, hx₁.trans (neg_one_le_sin _)] },
cases lt_or_le 1 x with hx₂ hx₂,
{ simp [arcsin_of_one_le hx₂.le, hy.2.not_le, (sin_le_one y).trans_lt hx₂] },
exact arcsin_le_iff_le_sin ⟨hx₁, hx₂⟩ (mem_Icc_of_Ico hy)
end
lemma le_arcsin_iff_sin_le {x y : ℝ} (hx : x ∈ Icc (-(π / 2)) (π / 2)) (hy : y ∈ Icc (-1 : ℝ) 1) :
x ≤ arcsin y ↔ sin x ≤ y :=
by rw [← neg_le_neg_iff, ← arcsin_neg,
arcsin_le_iff_le_sin ⟨neg_le_neg hy.2, neg_le.2 hy.1⟩ ⟨neg_le_neg hx.2, neg_le.2 hx.1⟩,
sin_neg, neg_le_neg_iff]
lemma le_arcsin_iff_sin_le' {x y : ℝ} (hx : x ∈ Ioc (-(π / 2)) (π / 2)) :
x ≤ arcsin y ↔ sin x ≤ y :=
by rw [← neg_le_neg_iff, ← arcsin_neg, arcsin_le_iff_le_sin' ⟨neg_le_neg hx.2, neg_lt.2 hx.1⟩,
sin_neg, neg_le_neg_iff]
lemma arcsin_lt_iff_lt_sin {x y : ℝ} (hx : x ∈ Icc (-1 : ℝ) 1) (hy : y ∈ Icc (-(π / 2)) (π / 2)) :
arcsin x < y ↔ x < sin y :=
not_le.symm.trans $ (not_congr $ le_arcsin_iff_sin_le hy hx).trans not_le
lemma arcsin_lt_iff_lt_sin' {x y : ℝ} (hy : y ∈ Ioc (-(π / 2)) (π / 2)) :
arcsin x < y ↔ x < sin y :=
not_le.symm.trans $ (not_congr $ le_arcsin_iff_sin_le' hy).trans not_le
lemma lt_arcsin_iff_sin_lt {x y : ℝ} (hx : x ∈ Icc (-(π / 2)) (π / 2)) (hy : y ∈ Icc (-1 : ℝ) 1) :
x < arcsin y ↔ sin x < y :=
not_le.symm.trans $ (not_congr $ arcsin_le_iff_le_sin hy hx).trans not_le
lemma lt_arcsin_iff_sin_lt' {x y : ℝ} (hx : x ∈ Ico (-(π / 2)) (π / 2)) :
x < arcsin y ↔ sin x < y :=
not_le.symm.trans $ (not_congr $ arcsin_le_iff_le_sin' hx).trans not_le
lemma arcsin_eq_iff_eq_sin {x y : ℝ} (hy : y ∈ Ioo (-(π / 2)) (π / 2)) :
arcsin x = y ↔ x = sin y :=
by simp only [le_antisymm_iff, arcsin_le_iff_le_sin' (mem_Ico_of_Ioo hy),
le_arcsin_iff_sin_le' (mem_Ioc_of_Ioo hy)]
@[simp] lemma arcsin_nonneg {x : ℝ} : 0 ≤ arcsin x ↔ 0 ≤ x :=
(le_arcsin_iff_sin_le' ⟨neg_lt_zero.2 pi_div_two_pos, pi_div_two_pos.le⟩).trans $ by rw [sin_zero]
@[simp] lemma arcsin_nonpos {x : ℝ} : arcsin x ≤ 0 ↔ x ≤ 0 :=
neg_nonneg.symm.trans $ arcsin_neg x ▸ arcsin_nonneg.trans neg_nonneg
@[simp] lemma arcsin_eq_zero_iff {x : ℝ} : arcsin x = 0 ↔ x = 0 :=
by simp [le_antisymm_iff]
@[simp] lemma zero_eq_arcsin_iff {x} : 0 = arcsin x ↔ x = 0 :=
eq_comm.trans arcsin_eq_zero_iff
@[simp] lemma arcsin_pos {x : ℝ} : 0 < arcsin x ↔ 0 < x :=
lt_iff_lt_of_le_iff_le arcsin_nonpos
@[simp] lemma arcsin_lt_zero {x : ℝ} : arcsin x < 0 ↔ x < 0 :=
lt_iff_lt_of_le_iff_le arcsin_nonneg
@[simp] lemma arcsin_lt_pi_div_two {x : ℝ} : arcsin x < π / 2 ↔ x < 1 :=
(arcsin_lt_iff_lt_sin' (right_mem_Ioc.2 $ neg_lt_self pi_div_two_pos)).trans $
by rw sin_pi_div_two
@[simp] lemma neg_pi_div_two_lt_arcsin {x : ℝ} : -(π / 2) < arcsin x ↔ -1 < x :=
(lt_arcsin_iff_sin_lt' $ left_mem_Ico.2 $ neg_lt_self pi_div_two_pos).trans $
by rw [sin_neg, sin_pi_div_two]
@[simp] lemma arcsin_eq_pi_div_two {x : ℝ} : arcsin x = π / 2 ↔ 1 ≤ x :=
⟨λ h, not_lt.1 $ λ h', (arcsin_lt_pi_div_two.2 h').ne h, arcsin_of_one_le⟩
@[simp] lemma pi_div_two_eq_arcsin {x} : π / 2 = arcsin x ↔ 1 ≤ x :=
eq_comm.trans arcsin_eq_pi_div_two
@[simp] lemma pi_div_two_le_arcsin {x} : π / 2 ≤ arcsin x ↔ 1 ≤ x :=
(arcsin_le_pi_div_two x).le_iff_eq.trans pi_div_two_eq_arcsin
@[simp] lemma arcsin_eq_neg_pi_div_two {x : ℝ} : arcsin x = -(π / 2) ↔ x ≤ -1 :=
⟨λ h, not_lt.1 $ λ h', (neg_pi_div_two_lt_arcsin.2 h').ne' h, arcsin_of_le_neg_one⟩
@[simp] lemma neg_pi_div_two_eq_arcsin {x} : -(π / 2) = arcsin x ↔ x ≤ -1 :=
eq_comm.trans arcsin_eq_neg_pi_div_two
@[simp] lemma arcsin_le_neg_pi_div_two {x} : arcsin x ≤ -(π / 2) ↔ x ≤ -1 :=
(neg_pi_div_two_le_arcsin x).le_iff_eq.trans arcsin_eq_neg_pi_div_two
lemma maps_to_sin_Ioo : maps_to sin (Ioo (-(π / 2)) (π / 2)) (Ioo (-1) 1) :=
λ x h, by rwa [mem_Ioo, ← arcsin_lt_pi_div_two, ← neg_pi_div_two_lt_arcsin,
arcsin_sin h.1.le h.2.le]
/-- `real.sin` as a `local_homeomorph` between `(-π / 2, π / 2)` and `(-1, 1)`. -/
@[simp] def sin_local_homeomorph : local_homeomorph ℝ ℝ :=
{ to_fun := sin,
inv_fun := arcsin,
source := Ioo (-(π / 2)) (π / 2),
target := Ioo (-1) 1,
map_source' := maps_to_sin_Ioo,
map_target' := λ y hy, ⟨neg_pi_div_two_lt_arcsin.2 hy.1, arcsin_lt_pi_div_two.2 hy.2⟩,
left_inv' := λ x hx, arcsin_sin hx.1.le hx.2.le,
right_inv' := λ y hy, sin_arcsin hy.1.le hy.2.le,
open_source := is_open_Ioo,
open_target := is_open_Ioo,
continuous_to_fun := continuous_sin.continuous_on,
continuous_inv_fun := continuous_arcsin.continuous_on }
lemma cos_arcsin_nonneg (x : ℝ) : 0 ≤ cos (arcsin x) :=
cos_nonneg_of_mem_Icc ⟨neg_pi_div_two_le_arcsin _, arcsin_le_pi_div_two _⟩
lemma cos_arcsin {x : ℝ} (hx₁ : -1 ≤ x) (hx₂ : x ≤ 1) : cos (arcsin x) = sqrt (1 - x ^ 2) :=
have sin (arcsin x) ^ 2 + cos (arcsin x) ^ 2 = 1 := sin_sq_add_cos_sq (arcsin x),
begin
rw [← eq_sub_iff_add_eq', ← sqrt_inj (sq_nonneg _) (sub_nonneg.2 (sin_sq_le_one (arcsin x))),
sq, sqrt_mul_self (cos_arcsin_nonneg _)] at this,
rw [this, sin_arcsin hx₁ hx₂],
end
lemma deriv_arcsin_aux {x : ℝ} (h₁ : x ≠ -1) (h₂ : x ≠ 1) :
has_strict_deriv_at arcsin (1 / sqrt (1 - x ^ 2)) x ∧ times_cont_diff_at ℝ ⊤ arcsin x :=
begin
cases h₁.lt_or_lt with h₁ h₁,
{ have : 1 - x ^ 2 < 0, by nlinarith [h₁],
rw [sqrt_eq_zero'.2 this.le, div_zero],
have : arcsin =ᶠ[𝓝 x] λ _, -(π / 2) :=
(gt_mem_nhds h₁).mono (λ y hy, arcsin_of_le_neg_one hy.le),
exact ⟨(has_strict_deriv_at_const _ _).congr_of_eventually_eq this.symm,
times_cont_diff_at_const.congr_of_eventually_eq this⟩ },
cases h₂.lt_or_lt with h₂ h₂,
{ have : 0 < sqrt (1 - x ^ 2) := sqrt_pos.2 (by nlinarith [h₁, h₂]),
simp only [← cos_arcsin h₁.le h₂.le, one_div] at this ⊢,
exact ⟨sin_local_homeomorph.has_strict_deriv_at_symm ⟨h₁, h₂⟩ this.ne'
(has_strict_deriv_at_sin _),
sin_local_homeomorph.times_cont_diff_at_symm_deriv this.ne' ⟨h₁, h₂⟩
(has_deriv_at_sin _) times_cont_diff_sin.times_cont_diff_at⟩ },
{ have : 1 - x ^ 2 < 0, by nlinarith [h₂],
rw [sqrt_eq_zero'.2 this.le, div_zero],
have : arcsin =ᶠ[𝓝 x] λ _, π / 2 := (lt_mem_nhds h₂).mono (λ y hy, arcsin_of_one_le hy.le),
exact ⟨(has_strict_deriv_at_const _ _).congr_of_eventually_eq this.symm,
times_cont_diff_at_const.congr_of_eventually_eq this⟩ }
end
lemma has_strict_deriv_at_arcsin {x : ℝ} (h₁ : x ≠ -1) (h₂ : x ≠ 1) :
has_strict_deriv_at arcsin (1 / sqrt (1 - x ^ 2)) x :=
(deriv_arcsin_aux h₁ h₂).1
lemma has_deriv_at_arcsin {x : ℝ} (h₁ : x ≠ -1) (h₂ : x ≠ 1) :
has_deriv_at arcsin (1 / sqrt (1 - x ^ 2)) x :=
(has_strict_deriv_at_arcsin h₁ h₂).has_deriv_at
lemma times_cont_diff_at_arcsin {x : ℝ} (h₁ : x ≠ -1) (h₂ : x ≠ 1) {n : with_top ℕ} :
times_cont_diff_at ℝ n arcsin x :=
(deriv_arcsin_aux h₁ h₂).2.of_le le_top
lemma has_deriv_within_at_arcsin_Ici {x : ℝ} (h : x ≠ -1) :
has_deriv_within_at arcsin (1 / sqrt (1 - x ^ 2)) (Ici x) x :=
begin
rcases em (x = 1) with (rfl|h'),
{ convert (has_deriv_within_at_const _ _ (π / 2)).congr _ _;
simp [arcsin_of_one_le] { contextual := tt } },
{ exact (has_deriv_at_arcsin h h').has_deriv_within_at }
end
lemma has_deriv_within_at_arcsin_Iic {x : ℝ} (h : x ≠ 1) :
has_deriv_within_at arcsin (1 / sqrt (1 - x ^ 2)) (Iic x) x :=
begin
rcases em (x = -1) with (rfl|h'),
{ convert (has_deriv_within_at_const _ _ (-(π / 2))).congr _ _;
simp [arcsin_of_le_neg_one] { contextual := tt } },
{ exact (has_deriv_at_arcsin h' h).has_deriv_within_at }
end
lemma differentiable_within_at_arcsin_Ici {x : ℝ} :
differentiable_within_at ℝ arcsin (Ici x) x ↔ x ≠ -1 :=
begin
refine ⟨_, λ h, (has_deriv_within_at_arcsin_Ici h).differentiable_within_at⟩,
rintro h rfl,
have : sin ∘ arcsin =ᶠ[𝓝[Ici (-1:ℝ)] (-1)] id,
{ filter_upwards [Icc_mem_nhds_within_Ici ⟨le_rfl, neg_lt_self (@zero_lt_one ℝ _ _)⟩],
exact λ x, sin_arcsin' },
have := h.has_deriv_within_at.sin.congr_of_eventually_eq this.symm (by simp),
simpa using (unique_diff_on_Ici _ _ left_mem_Ici).eq_deriv _ this (has_deriv_within_at_id _ _)
end
lemma differentiable_within_at_arcsin_Iic {x : ℝ} :
differentiable_within_at ℝ arcsin (Iic x) x ↔ x ≠ 1 :=
begin
refine ⟨λ h, _, λ h, (has_deriv_within_at_arcsin_Iic h).differentiable_within_at⟩,
rw [← neg_neg x, ← image_neg_Ici] at h,
have := (h.comp (-x) differentiable_within_at_id.neg (maps_to_image _ _)).neg,
simpa [(∘), differentiable_within_at_arcsin_Ici] using this
end
lemma differentiable_at_arcsin {x : ℝ} :
differentiable_at ℝ arcsin x ↔ x ≠ -1 ∧ x ≠ 1 :=
⟨λ h, ⟨differentiable_within_at_arcsin_Ici.1 h.differentiable_within_at,
differentiable_within_at_arcsin_Iic.1 h.differentiable_within_at⟩,
λ h, (has_deriv_at_arcsin h.1 h.2).differentiable_at⟩
@[simp] lemma deriv_arcsin : deriv arcsin = λ x, 1 / sqrt (1 - x ^ 2) :=
begin
funext x,
by_cases h : x ≠ -1 ∧ x ≠ 1,
{ exact (has_deriv_at_arcsin h.1 h.2).deriv },
{ rw [deriv_zero_of_not_differentiable_at (mt differentiable_at_arcsin.1 h)],
simp only [not_and_distrib, ne.def, not_not] at h,
rcases h with (rfl|rfl); simp }
end
lemma differentiable_on_arcsin : differentiable_on ℝ arcsin {-1, 1}ᶜ :=
λ x hx, (differentiable_at_arcsin.2
⟨λ h, hx (or.inl h), λ h, hx (or.inr h)⟩).differentiable_within_at
lemma times_cont_diff_on_arcsin {n : with_top ℕ} :
times_cont_diff_on ℝ n arcsin {-1, 1}ᶜ :=
λ x hx, (times_cont_diff_at_arcsin (mt or.inl hx) (mt or.inr hx)).times_cont_diff_within_at
lemma times_cont_diff_at_arcsin_iff {x : ℝ} {n : with_top ℕ} :
times_cont_diff_at ℝ n arcsin x ↔ n = 0 ∨ (x ≠ -1 ∧ x ≠ 1) :=
⟨λ h, or_iff_not_imp_left.2 $ λ hn, differentiable_at_arcsin.1 $ h.differentiable_at $
with_top.one_le_iff_pos.2 (pos_iff_ne_zero.2 hn),
λ h, h.elim (λ hn, hn.symm ▸ (times_cont_diff_zero.2 continuous_arcsin).times_cont_diff_at) $
λ hx, times_cont_diff_at_arcsin hx.1 hx.2⟩
/-- Inverse of the `cos` function, returns values in the range `0 ≤ arccos x` and `arccos x ≤ π`.
If the argument is not between `-1` and `1` it defaults to `π / 2` -/
@[pp_nodot] noncomputable def arccos (x : ℝ) : ℝ :=
π / 2 - arcsin x
lemma arccos_eq_pi_div_two_sub_arcsin (x : ℝ) : arccos x = π / 2 - arcsin x := rfl
lemma arcsin_eq_pi_div_two_sub_arccos (x : ℝ) : arcsin x = π / 2 - arccos x :=
by simp [arccos]
lemma arccos_le_pi (x : ℝ) : arccos x ≤ π :=
by unfold arccos; linarith [neg_pi_div_two_le_arcsin x]
lemma arccos_nonneg (x : ℝ) : 0 ≤ arccos x :=
by unfold arccos; linarith [arcsin_le_pi_div_two x]
lemma cos_arccos {x : ℝ} (hx₁ : -1 ≤ x) (hx₂ : x ≤ 1) : cos (arccos x) = x :=
by rw [arccos, cos_pi_div_two_sub, sin_arcsin hx₁ hx₂]
lemma arccos_cos {x : ℝ} (hx₁ : 0 ≤ x) (hx₂ : x ≤ π) : arccos (cos x) = x :=
by rw [arccos, ← sin_pi_div_two_sub, arcsin_sin]; simp [sub_eq_add_neg]; linarith
lemma strict_mono_decr_on_arccos : strict_mono_decr_on arccos (Icc (-1) 1) :=
λ x hx y hy h, sub_lt_sub_left (strict_mono_incr_on_arcsin hx hy h) _
lemma arccos_inj_on : inj_on arccos (Icc (-1) 1) := strict_mono_decr_on_arccos.inj_on
lemma arccos_inj {x y : ℝ} (hx₁ : -1 ≤ x) (hx₂ : x ≤ 1) (hy₁ : -1 ≤ y) (hy₂ : y ≤ 1) :
arccos x = arccos y ↔ x = y :=
arccos_inj_on.eq_iff ⟨hx₁, hx₂⟩ ⟨hy₁, hy₂⟩
@[simp] lemma arccos_zero : arccos 0 = π / 2 := by simp [arccos]
@[simp] lemma arccos_one : arccos 1 = 0 := by simp [arccos]
@[simp] lemma arccos_neg_one : arccos (-1) = π := by simp [arccos, add_halves]
@[simp] lemma arccos_eq_zero {x} : arccos x = 0 ↔ 1 ≤ x :=
by simp [arccos, sub_eq_zero]
@[simp] lemma arccos_eq_pi_div_two {x} : arccos x = π / 2 ↔ x = 0 :=
by simp [arccos, sub_eq_iff_eq_add]
@[simp] lemma arccos_eq_pi {x} : arccos x = π ↔ x ≤ -1 :=
by rw [arccos, sub_eq_iff_eq_add, ← sub_eq_iff_eq_add', div_two_sub_self, neg_pi_div_two_eq_arcsin]
lemma arccos_neg (x : ℝ) : arccos (-x) = π - arccos x :=
by rw [← add_halves π, arccos, arcsin_neg, arccos, add_sub_assoc, sub_sub_self, sub_neg_eq_add]
lemma sin_arccos {x : ℝ} (hx₁ : -1 ≤ x) (hx₂ : x ≤ 1) : sin (arccos x) = sqrt (1 - x ^ 2) :=
by rw [arccos_eq_pi_div_two_sub_arcsin, sin_pi_div_two_sub, cos_arcsin hx₁ hx₂]
@[continuity]
lemma continuous_arccos : continuous arccos := continuous_const.sub continuous_arcsin
lemma has_strict_deriv_at_arccos {x : ℝ} (h₁ : x ≠ -1) (h₂ : x ≠ 1) :
has_strict_deriv_at arccos (-(1 / sqrt (1 - x ^ 2))) x :=
(has_strict_deriv_at_arcsin h₁ h₂).const_sub (π / 2)
lemma has_deriv_at_arccos {x : ℝ} (h₁ : x ≠ -1) (h₂ : x ≠ 1) :
has_deriv_at arccos (-(1 / sqrt (1 - x ^ 2))) x :=
(has_deriv_at_arcsin h₁ h₂).const_sub (π / 2)
lemma times_cont_diff_at_arccos {x : ℝ} (h₁ : x ≠ -1) (h₂ : x ≠ 1) {n : with_top ℕ} :
times_cont_diff_at ℝ n arccos x :=
times_cont_diff_at_const.sub (times_cont_diff_at_arcsin h₁ h₂)
lemma has_deriv_within_at_arccos_Ici {x : ℝ} (h : x ≠ -1) :
has_deriv_within_at arccos (-(1 / sqrt (1 - x ^ 2))) (Ici x) x :=
(has_deriv_within_at_arcsin_Ici h).const_sub _
lemma has_deriv_within_at_arccos_Iic {x : ℝ} (h : x ≠ 1) :
has_deriv_within_at arccos (-(1 / sqrt (1 - x ^ 2))) (Iic x) x :=
(has_deriv_within_at_arcsin_Iic h).const_sub _
lemma differentiable_within_at_arccos_Ici {x : ℝ} :
differentiable_within_at ℝ arccos (Ici x) x ↔ x ≠ -1 :=
(differentiable_within_at_const_sub_iff _).trans differentiable_within_at_arcsin_Ici
lemma differentiable_within_at_arccos_Iic {x : ℝ} :
differentiable_within_at ℝ arccos (Iic x) x ↔ x ≠ 1 :=
(differentiable_within_at_const_sub_iff _).trans differentiable_within_at_arcsin_Iic
lemma differentiable_at_arccos {x : ℝ} :
differentiable_at ℝ arccos x ↔ x ≠ -1 ∧ x ≠ 1 :=
(differentiable_at_const_sub_iff _).trans differentiable_at_arcsin
@[simp] lemma deriv_arccos : deriv arccos = λ x, -(1 / sqrt (1 - x ^ 2)) :=
funext $ λ x, (deriv_const_sub _).trans $ by simp only [deriv_arcsin]
lemma differentiable_on_arccos : differentiable_on ℝ arccos {-1, 1}ᶜ :=
differentiable_on_arcsin.const_sub _
lemma times_cont_diff_on_arccos {n : with_top ℕ} :
times_cont_diff_on ℝ n arccos {-1, 1}ᶜ :=
times_cont_diff_on_const.sub times_cont_diff_on_arcsin
lemma times_cont_diff_at_arccos_iff {x : ℝ} {n : with_top ℕ} :
times_cont_diff_at ℝ n arccos x ↔ n = 0 ∨ (x ≠ -1 ∧ x ≠ 1) :=
by refine iff.trans ⟨λ h, _, λ h, _⟩ times_cont_diff_at_arcsin_iff;
simpa [arccos] using (@times_cont_diff_at_const _ _ _ _ _ _ _ _ _ _ (π / 2)).sub h
@[simp] lemma tan_pi_div_four : tan (π / 4) = 1 :=
begin
rw [tan_eq_sin_div_cos, cos_pi_div_four, sin_pi_div_four],
have h : (sqrt 2) / 2 > 0 := by cancel_denoms,
exact div_self (ne_of_gt h),
end
@[simp] lemma tan_pi_div_two : tan (π / 2) = 0 := by simp [tan_eq_sin_div_cos]
lemma tan_pos_of_pos_of_lt_pi_div_two {x : ℝ} (h0x : 0 < x) (hxp : x < π / 2) : 0 < tan x :=
by rw tan_eq_sin_div_cos; exact div_pos (sin_pos_of_pos_of_lt_pi h0x (by linarith))
(cos_pos_of_mem_Ioo ⟨by linarith, hxp⟩)
lemma tan_nonneg_of_nonneg_of_le_pi_div_two {x : ℝ} (h0x : 0 ≤ x) (hxp : x ≤ π / 2) : 0 ≤ tan x :=
match lt_or_eq_of_le h0x, lt_or_eq_of_le hxp with
| or.inl hx0, or.inl hxp := le_of_lt (tan_pos_of_pos_of_lt_pi_div_two hx0 hxp)
| or.inl hx0, or.inr hxp := by simp [hxp, tan_eq_sin_div_cos]
| or.inr hx0, _ := by simp [hx0.symm]
end
lemma tan_neg_of_neg_of_pi_div_two_lt {x : ℝ} (hx0 : x < 0) (hpx : -(π / 2) < x) : tan x < 0 :=
neg_pos.1 (tan_neg x ▸ tan_pos_of_pos_of_lt_pi_div_two (by linarith) (by linarith [pi_pos]))
lemma tan_nonpos_of_nonpos_of_neg_pi_div_two_le {x : ℝ} (hx0 : x ≤ 0) (hpx : -(π / 2) ≤ x) :
tan x ≤ 0 :=
neg_nonneg.1 (tan_neg x ▸ tan_nonneg_of_nonneg_of_le_pi_div_two (by linarith) (by linarith))
lemma tan_lt_tan_of_nonneg_of_lt_pi_div_two {x y : ℝ}
(hx₁ : 0 ≤ x) (hy₂ : y < π / 2) (hxy : x < y) :
tan x < tan y :=
begin
rw [tan_eq_sin_div_cos, tan_eq_sin_div_cos],
exact div_lt_div
(sin_lt_sin_of_lt_of_le_pi_div_two (by linarith) (le_of_lt hy₂) hxy)
(cos_le_cos_of_nonneg_of_le_pi hx₁ (by linarith) (le_of_lt hxy))
(sin_nonneg_of_nonneg_of_le_pi (by linarith) (by linarith))
(cos_pos_of_mem_Ioo ⟨by linarith, hy₂⟩)
end
lemma tan_lt_tan_of_lt_of_lt_pi_div_two {x y : ℝ} (hx₁ : -(π / 2) < x)
(hy₂ : y < π / 2) (hxy : x < y) : tan x < tan y :=
match le_total x 0, le_total y 0 with
| or.inl hx0, or.inl hy0 := neg_lt_neg_iff.1 $ by rw [← tan_neg, ← tan_neg]; exact
tan_lt_tan_of_nonneg_of_lt_pi_div_two (neg_nonneg.2 hy0)
(neg_lt.2 hx₁) (neg_lt_neg hxy)
| or.inl hx0, or.inr hy0 := (lt_or_eq_of_le hy0).elim
(λ hy0, calc tan x ≤ 0 : tan_nonpos_of_nonpos_of_neg_pi_div_two_le hx0 (le_of_lt hx₁)
... < tan y : tan_pos_of_pos_of_lt_pi_div_two hy0 hy₂)
(λ hy0, by rw [← hy0, tan_zero]; exact
tan_neg_of_neg_of_pi_div_two_lt (hy0.symm ▸ hxy) hx₁)
| or.inr hx0, or.inl hy0 := by linarith
| or.inr hx0, or.inr hy0 := tan_lt_tan_of_nonneg_of_lt_pi_div_two hx0 hy₂ hxy
end
lemma strict_mono_incr_on_tan : strict_mono_incr_on tan (Ioo (-(π / 2)) (π / 2)) :=
λ x hx y hy, tan_lt_tan_of_lt_of_lt_pi_div_two hx.1 hy.2
lemma inj_on_tan : inj_on tan (Ioo (-(π / 2)) (π / 2)) :=
strict_mono_incr_on_tan.inj_on
lemma tan_inj_of_lt_of_lt_pi_div_two {x y : ℝ} (hx₁ : -(π / 2) < x) (hx₂ : x < π / 2)
(hy₁ : -(π / 2) < y) (hy₂ : y < π / 2) (hxy : tan x = tan y) : x = y :=
inj_on_tan ⟨hx₁, hx₂⟩ ⟨hy₁, hy₂⟩ hxy
end real
namespace complex
open_locale real
/-- `arg` returns values in the range (-π, π], such that for `x ≠ 0`,
`sin (arg x) = x.im / x.abs` and `cos (arg x) = x.re / x.abs`,
`arg 0` defaults to `0` -/
noncomputable def arg (x : ℂ) : ℝ :=
if 0 ≤ x.re
then real.arcsin (x.im / x.abs)
else if 0 ≤ x.im
then real.arcsin ((-x).im / x.abs) + π
else real.arcsin ((-x).im / x.abs) - π
lemma arg_le_pi (x : ℂ) : arg x ≤ π :=
if hx₁ : 0 ≤ x.re
then by rw [arg, if_pos hx₁];
exact le_trans (real.arcsin_le_pi_div_two _) (le_of_lt (half_lt_self real.pi_pos))
else
if hx₂ : 0 ≤ x.im
then by rw [arg, if_neg hx₁, if_pos hx₂, ← le_sub_iff_add_le, sub_self, real.arcsin_nonpos,
neg_im, neg_div, neg_nonpos];
exact div_nonneg hx₂ (abs_nonneg _)
else by rw [arg, if_neg hx₁, if_neg hx₂];
exact sub_le_iff_le_add.2 (le_trans (real.arcsin_le_pi_div_two _)
(by linarith [real.pi_pos]))
lemma neg_pi_lt_arg (x : ℂ) : -π < arg x :=
if hx₁ : 0 ≤ x.re
then by rw [arg, if_pos hx₁];
exact lt_of_lt_of_le (neg_lt_neg (half_lt_self real.pi_pos)) (real.neg_pi_div_two_le_arcsin _)
else
have hx : x ≠ 0, from λ h, by simpa [h, lt_irrefl] using hx₁,
if hx₂ : 0 ≤ x.im
then by { rw [arg, if_neg hx₁, if_pos hx₂, ← sub_lt_iff_lt_add'],
refine lt_of_lt_of_le _ real.pi_pos.le,
rw [neg_im, sub_lt_iff_lt_add', add_zero, neg_lt, neg_div, real.arcsin_neg, neg_neg],
exact (real.arcsin_le_pi_div_two _).trans_lt (half_lt_self real.pi_pos) }
else by rw [arg, if_neg hx₁, if_neg hx₂, lt_sub_iff_add_lt, neg_add_self, real.arcsin_pos,
neg_im];
exact div_pos (neg_pos.2 (lt_of_not_ge hx₂)) (abs_pos.2 hx)
lemma arg_eq_arg_neg_add_pi_of_im_nonneg_of_re_neg {x : ℂ} (hxr : x.re < 0) (hxi : 0 ≤ x.im) :
arg x = arg (-x) + π :=
have 0 ≤ (-x).re, from le_of_lt $ by simpa [neg_pos],
by rw [arg, arg, if_neg (not_le.2 hxr), if_pos this, if_pos hxi, abs_neg]
lemma arg_eq_arg_neg_sub_pi_of_im_neg_of_re_neg {x : ℂ} (hxr : x.re < 0) (hxi : x.im < 0) :
arg x = arg (-x) - π :=
have 0 ≤ (-x).re, from le_of_lt $ by simpa [neg_pos],
by rw [arg, arg, if_neg (not_le.2 hxr), if_neg (not_le.2 hxi), if_pos this, abs_neg]
@[simp] lemma arg_zero : arg 0 = 0 :=
by simp [arg, le_refl]
@[simp] lemma arg_one : arg 1 = 0 :=
by simp [arg, zero_le_one]
@[simp] lemma arg_neg_one : arg (-1) = π :=
by simp [arg, le_refl, not_le.2 (@zero_lt_one ℝ _ _)]
@[simp] lemma arg_I : arg I = π / 2 :=
by simp [arg, le_refl]
@[simp] lemma arg_neg_I : arg (-I) = -(π / 2) :=
by simp [arg, le_refl]
lemma sin_arg (x : ℂ) : real.sin (arg x) = x.im / x.abs :=
by unfold arg; split_ifs;
simp [sub_eq_add_neg, arg, real.sin_arcsin (abs_le.1 (abs_im_div_abs_le_one x)).1
(abs_le.1 (abs_im_div_abs_le_one x)).2, real.sin_add, neg_div, real.arcsin_neg,
real.sin_neg]
private lemma cos_arg_of_re_nonneg {x : ℂ} (hx : x ≠ 0) (hxr : 0 ≤ x.re) :
real.cos (arg x) = x.re / x.abs :=
have 0 ≤ 1 - (x.im / abs x) ^ 2,
from sub_nonneg.2 $ by rw [sq, ← _root_.abs_mul_self, _root_.abs_mul, ← sq];
exact pow_le_one _ (_root_.abs_nonneg _) (abs_im_div_abs_le_one _),
by rw [eq_div_iff_mul_eq (mt abs_eq_zero.1 hx), ← real.mul_self_sqrt (abs_nonneg x),
arg, if_pos hxr, real.cos_arcsin (abs_le.1 (abs_im_div_abs_le_one x)).1
(abs_le.1 (abs_im_div_abs_le_one x)).2, ← real.sqrt_mul (abs_nonneg _), ← real.sqrt_mul this,
sub_mul, div_pow, ← sq, div_mul_cancel _ (pow_ne_zero 2 (mt abs_eq_zero.1 hx)),
one_mul, sq, mul_self_abs, norm_sq_apply, sq, add_sub_cancel, real.sqrt_mul_self hxr]
lemma cos_arg {x : ℂ} (hx : x ≠ 0) : real.cos (arg x) = x.re / x.abs :=
if hxr : 0 ≤ x.re then cos_arg_of_re_nonneg hx hxr
else
have 0 ≤ (-x).re, from le_of_lt $ by simpa [neg_pos] using hxr,
if hxi : 0 ≤ x.im
then have 0 ≤ (-x).re, from le_of_lt $ by simpa [neg_pos] using hxr,
by rw [arg_eq_arg_neg_add_pi_of_im_nonneg_of_re_neg (not_le.1 hxr) hxi, real.cos_add_pi,
cos_arg_of_re_nonneg (neg_ne_zero.2 hx) this];
simp [neg_div]
else by rw [arg_eq_arg_neg_sub_pi_of_im_neg_of_re_neg (not_le.1 hxr) (not_le.1 hxi)];
simp [sub_eq_add_neg, real.cos_add, neg_div, cos_arg_of_re_nonneg (neg_ne_zero.2 hx) this]
lemma tan_arg {x : ℂ} : real.tan (arg x) = x.im / x.re :=
begin
by_cases h : x = 0,
{ simp only [h, zero_div, complex.zero_im, complex.arg_zero, real.tan_zero, complex.zero_re] },
rw [real.tan_eq_sin_div_cos, sin_arg, cos_arg h,
div_div_div_cancel_right _ (mt abs_eq_zero.1 h)]
end
lemma arg_cos_add_sin_mul_I {x : ℝ} (hx₁ : -π < x) (hx₂ : x ≤ π) :
arg (cos x + sin x * I) = x :=
if hx₃ : -(π / 2) ≤ x ∧ x ≤ π / 2
then
have hx₄ : 0 ≤ (cos x + sin x * I).re,
by simp; exact real.cos_nonneg_of_mem_Icc hx₃,
by rw [arg, if_pos hx₄];
simp [abs_cos_add_sin_mul_I, sin_of_real_re, real.arcsin_sin hx₃.1 hx₃.2]
else if hx₄ : x < -(π / 2)
then
have hx₅ : ¬0 ≤ (cos x + sin x * I).re :=
suffices ¬ 0 ≤ real.cos x, by simpa,
not_le.2 $ by rw ← real.cos_neg;
apply real.cos_neg_of_pi_div_two_lt_of_lt; linarith,
have hx₆ : ¬0 ≤ (cos ↑x + sin ↑x * I).im :=
suffices real.sin x < 0, by simpa,
by apply real.sin_neg_of_neg_of_neg_pi_lt; linarith,
suffices -π + -real.arcsin (real.sin x) = x,
by rw [arg, if_neg hx₅, if_neg hx₆];
simpa [sub_eq_add_neg, add_comm, abs_cos_add_sin_mul_I, sin_of_real_re],
by rw [← real.arcsin_neg, ← real.sin_add_pi, real.arcsin_sin]; try {simp [add_left_comm]};
linarith
else
have hx₅ : π / 2 < x, by cases not_and_distrib.1 hx₃; linarith,
have hx₆ : ¬0 ≤ (cos x + sin x * I).re :=
suffices ¬0 ≤ real.cos x, by simpa,
not_le.2 $ by apply real.cos_neg_of_pi_div_two_lt_of_lt; linarith,
have hx₇ : 0 ≤ (cos x + sin x * I).im :=
suffices 0 ≤ real.sin x, by simpa,
by apply real.sin_nonneg_of_nonneg_of_le_pi; linarith,
suffices π - real.arcsin (real.sin x) = x,
by rw [arg, if_neg hx₆, if_pos hx₇];
simpa [sub_eq_add_neg, add_comm, abs_cos_add_sin_mul_I, sin_of_real_re],
by rw [← real.sin_pi_sub, real.arcsin_sin]; simp [sub_eq_add_neg]; linarith
lemma arg_eq_arg_iff {x y : ℂ} (hx : x ≠ 0) (hy : y ≠ 0) :
arg x = arg y ↔ (abs y / abs x : ℂ) * x = y :=
have hax : abs x ≠ 0, from (mt abs_eq_zero.1 hx),
have hay : abs y ≠ 0, from (mt abs_eq_zero.1 hy),
⟨λ h,
begin
have hcos := congr_arg real.cos h,
rw [cos_arg hx, cos_arg hy, div_eq_div_iff hax hay] at hcos,
have hsin := congr_arg real.sin h,
rw [sin_arg, sin_arg, div_eq_div_iff hax hay] at hsin,
apply complex.ext,
{ rw [mul_re, ← of_real_div, of_real_re, of_real_im, zero_mul, sub_zero, mul_comm,
← mul_div_assoc, hcos, mul_div_cancel _ hax] },
{ rw [mul_im, ← of_real_div, of_real_re, of_real_im, zero_mul, add_zero,
mul_comm, ← mul_div_assoc, hsin, mul_div_cancel _ hax] }
end,
λ h,
have hre : abs (y / x) * x.re = y.re,
by rw ← of_real_div at h;
simpa [-of_real_div, -is_R_or_C.of_real_div] using congr_arg re h,
have hre' : abs (x / y) * y.re = x.re,
by rw [← hre, abs_div, abs_div, ← mul_assoc, div_mul_div,
mul_comm (abs _), div_self (mul_ne_zero hay hax), one_mul],
have him : abs (y / x) * x.im = y.im,
by rw ← of_real_div at h;
simpa [-of_real_div, -is_R_or_C.of_real_div] using congr_arg im h,
have him' : abs (x / y) * y.im = x.im,
by rw [← him, abs_div, abs_div, ← mul_assoc, div_mul_div,
mul_comm (abs _), div_self (mul_ne_zero hay hax), one_mul],
have hxya : x.im / abs x = y.im / abs y,
by rw [← him, abs_div, mul_comm, ← mul_div_comm, mul_div_cancel_left _ hay],
have hnxya : (-x).im / abs x = (-y).im / abs y,
by rw [neg_im, neg_im, neg_div, neg_div, hxya],
if hxr : 0 ≤ x.re
then
have hyr : 0 ≤ y.re, from hre ▸ mul_nonneg (abs_nonneg _) hxr,
by simp [arg, *] at *
else
have hyr : ¬ 0 ≤ y.re, from λ hyr, hxr $ hre' ▸ mul_nonneg (abs_nonneg _) hyr,
if hxi : 0 ≤ x.im
then
have hyi : 0 ≤ y.im, from him ▸ mul_nonneg (abs_nonneg _) hxi,
by simp [arg, *] at *
else
have hyi : ¬ 0 ≤ y.im, from λ hyi, hxi $ him' ▸ mul_nonneg (abs_nonneg _) hyi,
by simp [arg, *] at *⟩
lemma arg_real_mul (x : ℂ) {r : ℝ} (hr : 0 < r) : arg (r * x) = arg x :=
if hx : x = 0 then by simp [hx]
else (arg_eq_arg_iff (mul_ne_zero (of_real_ne_zero.2 (ne_of_lt hr).symm) hx) hx).2 $
by rw [abs_mul, abs_of_nonneg (le_of_lt hr), ← mul_assoc,
of_real_mul, mul_comm (r : ℂ), ← div_div_eq_div_mul,
div_mul_cancel _ (of_real_ne_zero.2 (ne_of_lt hr).symm),
div_self (of_real_ne_zero.2 (mt abs_eq_zero.1 hx)), one_mul]
lemma ext_abs_arg {x y : ℂ} (h₁ : x.abs = y.abs) (h₂ : x.arg = y.arg) : x = y :=
if hy : y = 0 then by simp * at *
else have hx : x ≠ 0, from λ hx, by simp [*, eq_comm] at *,
by rwa [arg_eq_arg_iff hx hy, h₁, div_self (of_real_ne_zero.2 (mt abs_eq_zero.1 hy)), one_mul]
at h₂
lemma arg_of_real_of_nonneg {x : ℝ} (hx : 0 ≤ x) : arg x = 0 :=
by simp [arg, hx]
lemma arg_eq_pi_iff {z : ℂ} : arg z = π ↔ z.re < 0 ∧ z.im = 0 :=
begin
by_cases h₀ : z = 0, { simp [h₀, lt_irrefl, real.pi_ne_zero.symm] },
have h₀' : (abs z : ℂ) ≠ 0, by simpa,
rw [← arg_neg_one, arg_eq_arg_iff h₀ (neg_ne_zero.2 one_ne_zero), abs_neg, abs_one,
of_real_one, one_div, ← div_eq_inv_mul, div_eq_iff_mul_eq h₀', neg_one_mul,
ext_iff, neg_im, of_real_im, neg_zero, @eq_comm _ z.im, and.congr_left_iff],
rcases z with ⟨x, y⟩, simp only,
rintro rfl,
simp only [← of_real_def, of_real_eq_zero] at *,
simp [← ne.le_iff_lt h₀, @neg_eq_iff_neg_eq _ _ _ x, @eq_comm _ (-x)]
end
lemma arg_of_real_of_neg {x : ℝ} (hx : x < 0) : arg x = π :=
arg_eq_pi_iff.2 ⟨hx, rfl⟩
/-- Inverse of the `exp` function. Returns values such that `(log x).im > - π` and `(log x).im ≤ π`.
`log 0 = 0`-/
@[pp_nodot] noncomputable def log (x : ℂ) : ℂ := x.abs.log + arg x * I
lemma log_re (x : ℂ) : x.log.re = x.abs.log := by simp [log]
lemma log_im (x : ℂ) : x.log.im = x.arg := by simp [log]
lemma neg_pi_lt_log_im (x : ℂ) : -π < (log x).im := by simp only [log_im, neg_pi_lt_arg]
lemma log_im_le_pi (x : ℂ) : (log x).im ≤ π := by simp only [log_im, arg_le_pi]
lemma exp_log {x : ℂ} (hx : x ≠ 0) : exp (log x) = x :=
by rw [log, exp_add_mul_I, ← of_real_sin, sin_arg, ← of_real_cos, cos_arg hx,
← of_real_exp, real.exp_log (abs_pos.2 hx), mul_add, of_real_div, of_real_div,
mul_div_cancel' _ (of_real_ne_zero.2 (mt abs_eq_zero.1 hx)), ← mul_assoc,
mul_div_cancel' _ (of_real_ne_zero.2 (mt abs_eq_zero.1 hx)), re_add_im]
lemma range_exp : range exp = {x | x ≠ 0} :=
set.ext $ λ x, ⟨by { rintro ⟨x, rfl⟩, exact exp_ne_zero x }, λ hx, ⟨log x, exp_log hx⟩⟩
lemma exp_inj_of_neg_pi_lt_of_le_pi {x y : ℂ} (hx₁ : -π < x.im) (hx₂ : x.im ≤ π)
(hy₁ : - π < y.im) (hy₂ : y.im ≤ π) (hxy : exp x = exp y) : x = y :=
by rw [exp_eq_exp_re_mul_sin_add_cos, exp_eq_exp_re_mul_sin_add_cos y] at hxy;
exact complex.ext
(real.exp_injective $
by simpa [abs_mul, abs_cos_add_sin_mul_I] using congr_arg complex.abs hxy)
(by simpa [(of_real_exp _).symm, - of_real_exp, arg_real_mul _ (real.exp_pos _),
arg_cos_add_sin_mul_I hx₁ hx₂, arg_cos_add_sin_mul_I hy₁ hy₂] using congr_arg arg hxy)
lemma log_exp {x : ℂ} (hx₁ : -π < x.im) (hx₂: x.im ≤ π) : log (exp x) = x :=
exp_inj_of_neg_pi_lt_of_le_pi
(by rw log_im; exact neg_pi_lt_arg _)
(by rw log_im; exact arg_le_pi _)
hx₁ hx₂ (by rw [exp_log (exp_ne_zero _)])
lemma of_real_log {x : ℝ} (hx : 0 ≤ x) : (x.log : ℂ) = log x :=
complex.ext
(by rw [log_re, of_real_re, abs_of_nonneg hx])
(by rw [of_real_im, log_im, arg_of_real_of_nonneg hx])
lemma log_of_real_re (x : ℝ) : (log (x : ℂ)).re = real.log x := by simp [log_re]
@[simp] lemma log_zero : log 0 = 0 := by simp [log]
@[simp] lemma log_one : log 1 = 0 := by simp [log]
lemma log_neg_one : log (-1) = π * I := by simp [log]
lemma log_I : log I = π / 2 * I := by simp [log]
lemma log_neg_I : log (-I) = -(π / 2) * I := by simp [log]
lemma exists_pow_nat_eq (x : ℂ) {n : ℕ} (hn : 0 < n) : ∃ z, z ^ n = x :=
begin
by_cases hx : x = 0,
{ use 0, simp only [hx, zero_pow_eq_zero, hn] },
{ use exp (log x / n),
rw [← exp_nat_mul, mul_div_cancel', exp_log hx],
exact_mod_cast (pos_iff_ne_zero.mp hn) }
end
lemma exists_eq_mul_self (x : ℂ) : ∃ z, x = z * z :=
begin
obtain ⟨z, rfl⟩ := exists_pow_nat_eq x zero_lt_two,
exact ⟨z, sq z⟩
end
lemma two_pi_I_ne_zero : (2 * π * I : ℂ) ≠ 0 :=
by norm_num [real.pi_ne_zero, I_ne_zero]
lemma exp_eq_one_iff {x : ℂ} : exp x = 1 ↔ ∃ n : ℤ, x = n * ((2 * π) * I) :=
have real.exp (x.re) * real.cos (x.im) = 1 → real.cos x.im ≠ -1,
from λ h₁ h₂, begin
rw [h₂, mul_neg_eq_neg_mul_symm, mul_one, neg_eq_iff_neg_eq] at h₁,
have := real.exp_pos x.re,
rw ← h₁ at this,
exact absurd this (by norm_num)
end,
calc exp x = 1 ↔ (exp x).re = 1 ∧ (exp x).im = 0 : by simp [complex.ext_iff]
... ↔ real.cos x.im = 1 ∧ real.sin x.im = 0 ∧ x.re = 0 :
begin
rw exp_eq_exp_re_mul_sin_add_cos,
simp [complex.ext_iff, cos_of_real_re, sin_of_real_re, exp_of_real_re,
real.exp_ne_zero],
split; finish [real.sin_eq_zero_iff_cos_eq]
end
... ↔ (∃ n : ℤ, ↑n * (2 * π) = x.im) ∧ (∃ n : ℤ, ↑n * π = x.im) ∧ x.re = 0 :
by rw [real.sin_eq_zero_iff, real.cos_eq_one_iff]
... ↔ ∃ n : ℤ, x = n * ((2 * π) * I) :
⟨λ ⟨⟨n, hn⟩, ⟨m, hm⟩, h⟩, ⟨n, by simp [complex.ext_iff, hn.symm, h]⟩,
λ ⟨n, hn⟩, ⟨⟨n, by simp [hn]⟩, ⟨2 * n, by simp [hn, mul_comm, mul_assoc, mul_left_comm]⟩,
by simp [hn]⟩⟩
lemma exp_eq_exp_iff_exp_sub_eq_one {x y : ℂ} : exp x = exp y ↔ exp (x - y) = 1 :=
by rw [exp_sub, div_eq_one_iff_eq (exp_ne_zero _)]
lemma exp_eq_exp_iff_exists_int {x y : ℂ} : exp x = exp y ↔ ∃ n : ℤ, x = y + n * ((2 * π) * I) :=
by simp only [exp_eq_exp_iff_exp_sub_eq_one, exp_eq_one_iff, sub_eq_iff_eq_add']
/-- `complex.exp` as a `local_homeomorph` with `source = {z | -π < im z < π}` and
`target = {z | 0 < re z} ∪ {z | im z ≠ 0}`. This definition is used to prove that `complex.log`
is complex differentiable at all points but the negative real semi-axis. -/
def exp_local_homeomorph : local_homeomorph ℂ ℂ :=
local_homeomorph.of_continuous_open
{ to_fun := exp,
inv_fun := log,
source := {z : ℂ | z.im ∈ Ioo (- π) π},
target := {z : ℂ | 0 < z.re} ∪ {z : ℂ | z.im ≠ 0},
map_source' :=
begin
rintro ⟨x, y⟩ ⟨h₁ : -π < y, h₂ : y < π⟩,
refine (not_or_of_imp $ λ hz, _).symm,
obtain rfl : y = 0,
{ rw exp_im at hz,
simpa [(real.exp_pos _).ne', real.sin_eq_zero_iff_of_lt_of_lt h₁ h₂] using hz },
rw [mem_set_of_eq, ← of_real_def, exp_of_real_re],
exact real.exp_pos x
end,
map_target' := λ z h,
suffices 0 ≤ z.re ∨ z.im ≠ 0,
by simpa [log_im, neg_pi_lt_arg, (arg_le_pi _).lt_iff_ne, arg_eq_pi_iff, not_and_distrib],
h.imp (λ h, le_of_lt h) id,
left_inv' := λ x hx, log_exp hx.1 (le_of_lt hx.2),
right_inv' := λ x hx, exp_log $ by { rintro rfl, simpa [lt_irrefl] using hx } }
continuous_exp.continuous_on is_open_map_exp (is_open_Ioo.preimage continuous_im)
lemma has_strict_deriv_at_log {x : ℂ} (h : 0 < x.re ∨ x.im ≠ 0) :
has_strict_deriv_at log x⁻¹ x :=
have h0 : x ≠ 0, by { rintro rfl, simpa [lt_irrefl] using h },
exp_local_homeomorph.has_strict_deriv_at_symm h h0 $
by simpa [exp_log h0] using has_strict_deriv_at_exp (log x)
lemma times_cont_diff_at_log {x : ℂ} (h : 0 < x.re ∨ x.im ≠ 0) {n : with_top ℕ} :
times_cont_diff_at ℂ n log x :=
exp_local_homeomorph.times_cont_diff_at_symm_deriv (exp_ne_zero $ log x) h
(has_deriv_at_exp _) times_cont_diff_exp.times_cont_diff_at
@[simp] lemma cos_pi_div_two : cos (π / 2) = 0 :=
calc cos (π / 2) = real.cos (π / 2) : by rw [of_real_cos]; simp
... = 0 : by simp
@[simp] lemma sin_pi_div_two : sin (π / 2) = 1 :=
calc sin (π / 2) = real.sin (π / 2) : by rw [of_real_sin]; simp
... = 1 : by simp
@[simp] lemma sin_pi : sin π = 0 :=
by rw [← of_real_sin, real.sin_pi]; simp
@[simp] lemma cos_pi : cos π = -1 :=
by rw [← of_real_cos, real.cos_pi]; simp
@[simp] lemma sin_two_pi : sin (2 * π) = 0 :=
by simp [two_mul, sin_add]
@[simp] lemma cos_two_pi : cos (2 * π) = 1 :=
by simp [two_mul, cos_add]
lemma sin_antiperiodic : function.antiperiodic sin π :=
by simp [sin_add]
lemma sin_periodic : function.periodic sin (2 * π) :=
sin_antiperiodic.periodic
lemma sin_add_pi (x : ℂ) : sin (x + π) = -sin x :=
sin_antiperiodic x
lemma sin_add_two_pi (x : ℂ) : sin (x + 2 * π) = sin x :=
sin_periodic x
lemma sin_sub_pi (x : ℂ) : sin (x - π) = -sin x :=
sin_antiperiodic.sub_eq x
lemma sin_sub_two_pi (x : ℂ) : sin (x - 2 * π) = sin x :=
sin_periodic.sub_eq x
lemma sin_pi_sub (x : ℂ) : sin (π - x) = sin x :=
neg_neg (sin x) ▸ sin_neg x ▸ sin_antiperiodic.sub_eq'
lemma sin_two_pi_sub (x : ℂ) : sin (2 * π - x) = -sin x :=
sin_neg x ▸ sin_periodic.sub_eq'
lemma sin_nat_mul_pi (n : ℕ) : sin (n * π) = 0 :=
sin_antiperiodic.nat_mul_eq_of_eq_zero sin_zero n
lemma sin_int_mul_pi (n : ℤ) : sin (n * π) = 0 :=
sin_antiperiodic.int_mul_eq_of_eq_zero sin_zero n
lemma sin_add_nat_mul_two_pi (x : ℂ) (n : ℕ) : sin (x + n * (2 * π)) = sin x :=
sin_periodic.nat_mul n x
lemma sin_add_int_mul_two_pi (x : ℂ) (n : ℤ) : sin (x + n * (2 * π)) = sin x :=
sin_periodic.int_mul n x
lemma sin_sub_nat_mul_two_pi (x : ℂ) (n : ℕ) : sin (x - n * (2 * π)) = sin x :=
sin_periodic.sub_nat_mul_eq n
lemma sin_sub_int_mul_two_pi (x : ℂ) (n : ℤ) : sin (x - n * (2 * π)) = sin x :=
sin_periodic.sub_int_mul_eq n
lemma sin_nat_mul_two_pi_sub (x : ℂ) (n : ℕ) : sin (n * (2 * π) - x) = -sin x :=
sin_neg x ▸ sin_periodic.nat_mul_sub_eq n
lemma sin_int_mul_two_pi_sub (x : ℂ) (n : ℤ) : sin (n * (2 * π) - x) = -sin x :=
sin_neg x ▸ sin_periodic.int_mul_sub_eq n
lemma cos_antiperiodic : function.antiperiodic cos π :=
by simp [cos_add]
lemma cos_periodic : function.periodic cos (2 * π) :=
cos_antiperiodic.periodic
lemma cos_add_pi (x : ℂ) : cos (x + π) = -cos x :=
cos_antiperiodic x
lemma cos_add_two_pi (x : ℂ) : cos (x + 2 * π) = cos x :=
cos_periodic x
lemma cos_sub_pi (x : ℂ) : cos (x - π) = -cos x :=
cos_antiperiodic.sub_eq x
lemma cos_sub_two_pi (x : ℂ) : cos (x - 2 * π) = cos x :=
cos_periodic.sub_eq x
lemma cos_pi_sub (x : ℂ) : cos (π - x) = -cos x :=
cos_neg x ▸ cos_antiperiodic.sub_eq'
lemma cos_two_pi_sub (x : ℂ) : cos (2 * π - x) = cos x :=
cos_neg x ▸ cos_periodic.sub_eq'
lemma cos_nat_mul_two_pi (n : ℕ) : cos (n * (2 * π)) = 1 :=
(cos_periodic.nat_mul_eq n).trans cos_zero
lemma cos_int_mul_two_pi (n : ℤ) : cos (n * (2 * π)) = 1 :=
(cos_periodic.int_mul_eq n).trans cos_zero
lemma cos_add_nat_mul_two_pi (x : ℂ) (n : ℕ) : cos (x + n * (2 * π)) = cos x :=
cos_periodic.nat_mul n x
lemma cos_add_int_mul_two_pi (x : ℂ) (n : ℤ) : cos (x + n * (2 * π)) = cos x :=
cos_periodic.int_mul n x
lemma cos_sub_nat_mul_two_pi (x : ℂ) (n : ℕ) : cos (x - n * (2 * π)) = cos x :=
cos_periodic.sub_nat_mul_eq n
lemma cos_sub_int_mul_two_pi (x : ℂ) (n : ℤ) : cos (x - n * (2 * π)) = cos x :=
cos_periodic.sub_int_mul_eq n
lemma cos_nat_mul_two_pi_sub (x : ℂ) (n : ℕ) : cos (n * (2 * π) - x) = cos x :=
cos_neg x ▸ cos_periodic.nat_mul_sub_eq n
lemma cos_int_mul_two_pi_sub (x : ℂ) (n : ℤ) : cos (n * (2 * π) - x) = cos x :=
cos_neg x ▸ cos_periodic.int_mul_sub_eq n
lemma cos_nat_mul_two_pi_add_pi (n : ℕ) : cos (n * (2 * π) + π) = -1 :=
by simpa only [cos_zero] using (cos_periodic.nat_mul n).add_antiperiod_eq cos_antiperiodic
lemma cos_int_mul_two_pi_add_pi (n : ℤ) : cos (n * (2 * π) + π) = -1 :=
by simpa only [cos_zero] using (cos_periodic.int_mul n).add_antiperiod_eq cos_antiperiodic
lemma cos_nat_mul_two_pi_sub_pi (n : ℕ) : cos (n * (2 * π) - π) = -1 :=
by simpa only [cos_zero] using (cos_periodic.nat_mul n).sub_antiperiod_eq cos_antiperiodic
lemma cos_int_mul_two_pi_sub_pi (n : ℤ) : cos (n * (2 * π) - π) = -1 :=
by simpa only [cos_zero] using (cos_periodic.int_mul n).sub_antiperiod_eq cos_antiperiodic
lemma sin_add_pi_div_two (x : ℂ) : sin (x + π / 2) = cos x :=
by simp [sin_add]
lemma sin_sub_pi_div_two (x : ℂ) : sin (x - π / 2) = -cos x :=
by simp [sub_eq_add_neg, sin_add]
lemma sin_pi_div_two_sub (x : ℂ) : sin (π / 2 - x) = cos x :=
by simp [sub_eq_add_neg, sin_add]
lemma cos_add_pi_div_two (x : ℂ) : cos (x + π / 2) = -sin x :=
by simp [cos_add]
lemma cos_sub_pi_div_two (x : ℂ) : cos (x - π / 2) = sin x :=
by simp [sub_eq_add_neg, cos_add]
lemma cos_pi_div_two_sub (x : ℂ) : cos (π / 2 - x) = sin x :=
by rw [← cos_neg, neg_sub, cos_sub_pi_div_two]
lemma tan_periodic : function.periodic tan π :=
by simpa only [tan_eq_sin_div_cos] using sin_antiperiodic.div cos_antiperiodic
lemma tan_add_pi (x : ℂ) : tan (x + π) = tan x :=
tan_periodic x
lemma tan_sub_pi (x : ℂ) : tan (x - π) = tan x :=
tan_periodic.sub_eq x
lemma tan_pi_sub (x : ℂ) : tan (π - x) = -tan x :=
tan_neg x ▸ tan_periodic.sub_eq'
lemma tan_nat_mul_pi (n : ℕ) : tan (n * π) = 0 :=
tan_zero ▸ tan_periodic.nat_mul_eq n
lemma tan_int_mul_pi (n : ℤ) : tan (n * π) = 0 :=
tan_zero ▸ tan_periodic.int_mul_eq n
lemma tan_add_nat_mul_pi (x : ℂ) (n : ℕ) : tan (x + n * π) = tan x :=
tan_periodic.nat_mul n x
lemma tan_add_int_mul_pi (x : ℂ) (n : ℤ) : tan (x + n * π) = tan x :=
tan_periodic.int_mul n x
lemma tan_sub_nat_mul_pi (x : ℂ) (n : ℕ) : tan (x - n * π) = tan x :=
tan_periodic.sub_nat_mul_eq n
lemma tan_sub_int_mul_pi (x : ℂ) (n : ℤ) : tan (x - n * π) = tan x :=
tan_periodic.sub_int_mul_eq n
lemma tan_nat_mul_pi_sub (x : ℂ) (n : ℕ) : tan (n * π - x) = -tan x :=
tan_neg x ▸ tan_periodic.nat_mul_sub_eq n
lemma tan_int_mul_pi_sub (x : ℂ) (n : ℤ) : tan (n * π - x) = -tan x :=
tan_neg x ▸ tan_periodic.int_mul_sub_eq n
lemma exp_antiperiodic : function.antiperiodic exp (π * I) :=
by simp [exp_add, exp_mul_I]
lemma exp_periodic : function.periodic exp (2 * π * I) :=
(mul_assoc (2:ℂ) π I).symm ▸ exp_antiperiodic.periodic
lemma exp_mul_I_antiperiodic : function.antiperiodic (λ x, exp (x * I)) π :=
by simpa only [mul_inv_cancel_right' I_ne_zero] using exp_antiperiodic.mul_const I_ne_zero
lemma exp_mul_I_periodic : function.periodic (λ x, exp (x * I)) (2 * π) :=
exp_mul_I_antiperiodic.periodic
lemma exp_pi_mul_I : exp (π * I) = -1 :=
exp_zero ▸ exp_antiperiodic.eq
lemma exp_two_pi_mul_I : exp (2 * π * I) = 1 :=
exp_periodic.eq.trans exp_zero
lemma exp_nat_mul_two_pi_mul_I (n : ℕ) : exp (n * (2 * π * I)) = 1 :=
(exp_periodic.nat_mul_eq n).trans exp_zero
lemma exp_int_mul_two_pi_mul_I (n : ℤ) : exp (n * (2 * π * I)) = 1 :=
(exp_periodic.int_mul_eq n).trans exp_zero
theorem cos_eq_zero_iff {θ : ℂ} : cos θ = 0 ↔ ∃ k : ℤ, θ = (2 * k + 1) * π / 2 :=
begin
have h : (exp (θ * I) + exp (-θ * I)) / 2 = 0 ↔ exp (2 * θ * I) = -1,
{ rw [@div_eq_iff _ _ (exp (θ * I) + exp (-θ * I)) 2 0 two_ne_zero', zero_mul,
add_eq_zero_iff_eq_neg, neg_eq_neg_one_mul, ← div_eq_iff (exp_ne_zero _), ← exp_sub],
field_simp only, congr' 3, ring },
rw [cos, h, ← exp_pi_mul_I, exp_eq_exp_iff_exists_int, mul_right_comm],
refine exists_congr (λ x, _),
refine (iff_of_eq $ congr_arg _ _).trans (mul_right_inj' $ mul_ne_zero two_ne_zero' I_ne_zero),
ring,
end
theorem cos_ne_zero_iff {θ : ℂ} : cos θ ≠ 0 ↔ ∀ k : ℤ, θ ≠ (2 * k + 1) * π / 2 :=
by rw [← not_exists, not_iff_not, cos_eq_zero_iff]
theorem sin_eq_zero_iff {θ : ℂ} : sin θ = 0 ↔ ∃ k : ℤ, θ = k * π :=
begin
rw [← complex.cos_sub_pi_div_two, cos_eq_zero_iff],
split,
{ rintros ⟨k, hk⟩,
use k + 1,
field_simp [eq_add_of_sub_eq hk],
ring },
{ rintros ⟨k, rfl⟩,
use k - 1,
field_simp,
ring }
end
theorem sin_ne_zero_iff {θ : ℂ} : sin θ ≠ 0 ↔ ∀ k : ℤ, θ ≠ k * π :=
by rw [← not_exists, not_iff_not, sin_eq_zero_iff]
lemma sin_eq_zero_iff_cos_eq {z : ℂ} : sin z = 0 ↔ cos z = 1 ∨ cos z = -1 :=
by rw [← mul_self_eq_one_iff, ← sin_sq_add_cos_sq, sq, sq, ← sub_eq_iff_eq_add, sub_self];
exact ⟨λ h, by rw [h, mul_zero], eq_zero_of_mul_self_eq_zero ∘ eq.symm⟩
lemma tan_eq_zero_iff {θ : ℂ} : tan θ = 0 ↔ ∃ k : ℤ, θ = k * π / 2 :=
begin
have h := (sin_two_mul θ).symm,
rw mul_assoc at h,
rw [tan, div_eq_zero_iff, ← mul_eq_zero, ← zero_mul ((1/2):ℂ), mul_one_div,
cancel_factors.cancel_factors_eq_div h two_ne_zero', mul_comm],
simpa only [zero_div, zero_mul, ne.def, not_false_iff] with field_simps using sin_eq_zero_iff,
end
lemma tan_ne_zero_iff {θ : ℂ} : tan θ ≠ 0 ↔ ∀ k : ℤ, θ ≠ k * π / 2 :=
by rw [← not_exists, not_iff_not, tan_eq_zero_iff]
lemma tan_int_mul_pi_div_two (n : ℤ) : tan (n * π/2) = 0 :=
tan_eq_zero_iff.mpr (by use n)
lemma cos_eq_cos_iff {x y : ℂ} :
cos x = cos y ↔ ∃ k : ℤ, y = 2 * k * π + x ∨ y = 2 * k * π - x :=
calc cos x = cos y ↔ cos x - cos y = 0 : sub_eq_zero.symm
... ↔ -2 * sin((x + y)/2) * sin((x - y)/2) = 0 : by rw cos_sub_cos
... ↔ sin((x + y)/2) = 0 ∨ sin((x - y)/2) = 0 : by simp [(by norm_num : (2:ℂ) ≠ 0)]
... ↔ sin((x - y)/2) = 0 ∨ sin((x + y)/2) = 0 : or.comm
... ↔ (∃ k : ℤ, y = 2 * k * π + x) ∨ (∃ k :ℤ, y = 2 * k * π - x) :
begin
apply or_congr;
field_simp [sin_eq_zero_iff, (by norm_num : -(2:ℂ) ≠ 0), eq_sub_iff_add_eq',
sub_eq_iff_eq_add, mul_comm (2:ℂ), mul_right_comm _ (2:ℂ)],
split; { rintros ⟨k, rfl⟩, use -k, simp, },
end
... ↔ ∃ k : ℤ, y = 2 * k * π + x ∨ y = 2 * k * π - x : exists_or_distrib.symm
lemma sin_eq_sin_iff {x y : ℂ} :
sin x = sin y ↔ ∃ k : ℤ, y = 2 * k * π + x ∨ y = (2 * k + 1) * π - x :=
begin
simp only [← complex.cos_sub_pi_div_two, cos_eq_cos_iff, sub_eq_iff_eq_add],
refine exists_congr (λ k, or_congr _ _); refine eq.congr rfl _; field_simp; ring
end
lemma tan_add {x y : ℂ}
(h : ((∀ k : ℤ, x ≠ (2 * k + 1) * π / 2) ∧ ∀ l : ℤ, y ≠ (2 * l + 1) * π / 2)
∨ ((∃ k : ℤ, x = (2 * k + 1) * π / 2) ∧ ∃ l : ℤ, y = (2 * l + 1) * π / 2)) :
tan (x + y) = (tan x + tan y) / (1 - tan x * tan y) :=
begin
rcases h with ⟨h1, h2⟩ | ⟨⟨k, rfl⟩, ⟨l, rfl⟩⟩,
{ rw [tan, sin_add, cos_add,
← div_div_div_cancel_right (sin x * cos y + cos x * sin y)
(mul_ne_zero (cos_ne_zero_iff.mpr h1) (cos_ne_zero_iff.mpr h2)),
add_div, sub_div],
simp only [←div_mul_div, ←tan, mul_one, one_mul,
div_self (cos_ne_zero_iff.mpr h1), div_self (cos_ne_zero_iff.mpr h2)] },
{ obtain ⟨t, hx, hy, hxy⟩ := ⟨tan_int_mul_pi_div_two, t (2*k+1), t (2*l+1), t (2*k+1+(2*l+1))⟩,
simp only [int.cast_add, int.cast_bit0, int.cast_mul, int.cast_one, hx, hy] at hx hy hxy,
rw [hx, hy, add_zero, zero_div,
mul_div_assoc, mul_div_assoc, ← add_mul (2*(k:ℂ)+1) (2*l+1) (π/2), ← mul_div_assoc, hxy] },
end
lemma tan_add' {x y : ℂ}
(h : ((∀ k : ℤ, x ≠ (2 * k + 1) * π / 2) ∧ ∀ l : ℤ, y ≠ (2 * l + 1) * π / 2)) :
tan (x + y) = (tan x + tan y) / (1 - tan x * tan y) :=
tan_add (or.inl h)
lemma tan_two_mul {z : ℂ} : tan (2 * z) = 2 * tan z / (1 - tan z ^ 2) :=
begin
by_cases h : ∀ k : ℤ, z ≠ (2 * k + 1) * π / 2,
{ rw [two_mul, two_mul, sq, tan_add (or.inl ⟨h, h⟩)] },
{ rw not_forall_not at h,
rw [two_mul, two_mul, sq, tan_add (or.inr ⟨h, h⟩)] },
end
lemma tan_add_mul_I {x y : ℂ}
(h : ((∀ k : ℤ, x ≠ (2 * k + 1) * π / 2) ∧ ∀ l : ℤ, y * I ≠ (2 * l + 1) * π / 2)
∨ ((∃ k : ℤ, x = (2 * k + 1) * π / 2) ∧ ∃ l : ℤ, y * I = (2 * l + 1) * π / 2)) :
tan (x + y*I) = (tan x + tanh y * I) / (1 - tan x * tanh y * I) :=
by rw [tan_add h, tan_mul_I, mul_assoc]
lemma tan_eq {z : ℂ}
(h : ((∀ k : ℤ, (z.re:ℂ) ≠ (2 * k + 1) * π / 2) ∧ ∀ l : ℤ, (z.im:ℂ) * I ≠ (2 * l + 1) * π / 2)
∨ ((∃ k : ℤ, (z.re:ℂ) = (2 * k + 1) * π / 2) ∧ ∃ l : ℤ, (z.im:ℂ) * I = (2 * l + 1) * π / 2)) :
tan z = (tan z.re + tanh z.im * I) / (1 - tan z.re * tanh z.im * I) :=
by convert tan_add_mul_I h; exact (re_add_im z).symm
lemma has_strict_deriv_at_tan {x : ℂ} (h : cos x ≠ 0) :
has_strict_deriv_at tan (1 / (cos x)^2) x :=
begin
convert (has_strict_deriv_at_sin x).div (has_strict_deriv_at_cos x) h,
rw ← sin_sq_add_cos_sq x,
ring,
end
lemma has_deriv_at_tan {x : ℂ} (h : cos x ≠ 0) :
has_deriv_at tan (1 / (cos x)^2) x :=
(has_strict_deriv_at_tan h).has_deriv_at
lemma tendsto_abs_tan_of_cos_eq_zero {x : ℂ} (hx : cos x = 0) :
tendsto (λ x, abs (tan x)) (𝓝[{x}ᶜ] x) at_top :=
begin
simp only [tan_eq_sin_div_cos, ← norm_eq_abs, normed_field.norm_div],
have A : sin x ≠ 0 := λ h, by simpa [*, sq] using sin_sq_add_cos_sq x,
have B : tendsto cos (𝓝[{x}ᶜ] (x)) (𝓝[{0}ᶜ] 0),
{ refine tendsto_inf.2 ⟨tendsto.mono_left _ inf_le_left, tendsto_principal.2 _⟩,
exacts [continuous_cos.tendsto' x 0 hx,
hx ▸ (has_deriv_at_cos _).eventually_ne (neg_ne_zero.2 A)] },
exact continuous_sin.continuous_within_at.norm.mul_at_top (norm_pos_iff.2 A)
(tendsto_norm_nhds_within_zero.comp B).inv_tendsto_zero,
end
lemma tendsto_abs_tan_at_top (k : ℤ) :
tendsto (λ x, abs (tan x)) (𝓝[{(2 * k + 1) * π / 2}ᶜ] ((2 * k + 1) * π / 2)) at_top :=
tendsto_abs_tan_of_cos_eq_zero $ cos_eq_zero_iff.2 ⟨k, rfl⟩
@[simp] lemma continuous_at_tan {x : ℂ} : 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
@[simp] lemma differentiable_at_tan {x : ℂ} : differentiable_at ℂ 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 : ℂ) : deriv tan x = 1 / (cos x)^2 :=
if h : cos x = 0 then
have ¬differentiable_at ℂ 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
lemma continuous_on_tan : continuous_on tan {x | cos x ≠ 0} :=
continuous_on_sin.div continuous_on_cos $ λ x, id
@[continuity]
lemma continuous_tan : continuous (λ x : {x | cos x ≠ 0}, tan x) :=
continuous_on_iff_continuous_restrict.1 continuous_on_tan
@[simp] lemma times_cont_diff_at_tan {x : ℂ} {n : with_top ℕ} :
times_cont_diff_at ℂ n tan x ↔ cos x ≠ 0 :=
⟨λ h, continuous_at_tan.1 h.continuous_at,
times_cont_diff_sin.times_cont_diff_at.div times_cont_diff_cos.times_cont_diff_at⟩
lemma cos_eq_iff_quadratic {z w : ℂ} :
cos z = w ↔ (exp (z * I)) ^ 2 - 2 * w * exp (z * I) + 1 = 0 :=
begin
rw ← sub_eq_zero,
field_simp [cos, exp_neg, exp_ne_zero],
refine eq.congr _ rfl,
ring
end
lemma cos_surjective : function.surjective cos :=
begin
intro x,
obtain ⟨w, w₀, hw⟩ : ∃ w ≠ 0, 1 * w * w + (-2 * x) * w + 1 = 0,
{ rcases exists_quadratic_eq_zero (@one_ne_zero ℂ _ _) (exists_eq_mul_self _) with ⟨w, hw⟩,
refine ⟨w, _, hw⟩,
rintro rfl,
simpa only [zero_add, one_ne_zero, mul_zero] using hw },
refine ⟨log w / I, cos_eq_iff_quadratic.2 _⟩,
rw [div_mul_cancel _ I_ne_zero, exp_log w₀],
convert hw,
ring
end
@[simp] lemma range_cos : range cos = set.univ :=
cos_surjective.range_eq
lemma sin_surjective : function.surjective sin :=
begin
intro x,
rcases cos_surjective x with ⟨z, rfl⟩,
exact ⟨z + π / 2, sin_add_pi_div_two z⟩
end
@[simp] lemma range_sin : range sin = set.univ :=
sin_surjective.range_eq
end complex
section log_deriv
open complex
variables {α : Type*}
lemma filter.tendsto.clog {l : filter α} {f : α → ℂ} {x : ℂ} (h : tendsto f l (𝓝 x))
(hx : 0 < x.re ∨ x.im ≠ 0) :
tendsto (λ t, log (f t)) l (𝓝 $ log x) :=
(has_strict_deriv_at_log hx).continuous_at.tendsto.comp h
variables [topological_space α]
lemma continuous_at.clog {f : α → ℂ} {x : α} (h₁ : continuous_at f x)
(h₂ : 0 < (f x).re ∨ (f x).im ≠ 0) :
continuous_at (λ t, log (f t)) x :=
h₁.clog h₂
lemma continuous_within_at.clog {f : α → ℂ} {s : set α} {x : α} (h₁ : continuous_within_at f s x)
(h₂ : 0 < (f x).re ∨ (f x).im ≠ 0) :
continuous_within_at (λ t, log (f t)) s x :=
h₁.clog h₂
lemma continuous_on.clog {f : α → ℂ} {s : set α} (h₁ : continuous_on f s)
(h₂ : ∀ x ∈ s, 0 < (f x).re ∨ (f x).im ≠ 0) :
continuous_on (λ t, log (f t)) s :=
λ x hx, (h₁ x hx).clog (h₂ x hx)
lemma continuous.clog {f : α → ℂ} (h₁ : continuous f) (h₂ : ∀ x, 0 < (f x).re ∨ (f x).im ≠ 0) :
continuous (λ t, log (f t)) :=
continuous_iff_continuous_at.2 $ λ x, h₁.continuous_at.clog (h₂ x)
variables {E : Type*} [normed_group E] [normed_space ℂ E]
lemma has_strict_fderiv_at.clog {f : E → ℂ} {f' : E →L[ℂ] ℂ} {x : E}
(h₁ : has_strict_fderiv_at f f' x) (h₂ : 0 < (f x).re ∨ (f x).im ≠ 0) :
has_strict_fderiv_at (λ t, log (f t)) ((f x)⁻¹ • f') x :=
(has_strict_deriv_at_log h₂).comp_has_strict_fderiv_at x h₁
lemma has_strict_deriv_at.clog {f : ℂ → ℂ} {f' x : ℂ} (h₁ : has_strict_deriv_at f f' x)
(h₂ : 0 < (f x).re ∨ (f x).im ≠ 0) :
has_strict_deriv_at (λ t, log (f t)) (f' / f x) x :=
by { rw div_eq_inv_mul, exact (has_strict_deriv_at_log h₂).comp x h₁ }
lemma has_fderiv_at.clog {f : E → ℂ} {f' : E →L[ℂ] ℂ} {x : E}
(h₁ : has_fderiv_at f f' x) (h₂ : 0 < (f x).re ∨ (f x).im ≠ 0) :
has_fderiv_at (λ t, log (f t)) ((f x)⁻¹ • f') x :=
(has_strict_deriv_at_log h₂).has_deriv_at.comp_has_fderiv_at x h₁
lemma has_deriv_at.clog {f : ℂ → ℂ} {f' x : ℂ} (h₁ : has_deriv_at f f' x)
(h₂ : 0 < (f x).re ∨ (f x).im ≠ 0) :
has_deriv_at (λ t, log (f t)) (f' / f x) x :=
by { rw div_eq_inv_mul, exact (has_strict_deriv_at_log h₂).has_deriv_at.comp x h₁ }
lemma differentiable_at.clog {f : E → ℂ} {x : E} (h₁ : differentiable_at ℂ f x)
(h₂ : 0 < (f x).re ∨ (f x).im ≠ 0) :
differentiable_at ℂ (λ t, log (f t)) x :=
(h₁.has_fderiv_at.clog h₂).differentiable_at
lemma has_fderiv_within_at.clog {f : E → ℂ} {f' : E →L[ℂ] ℂ} {s : set E} {x : E}
(h₁ : has_fderiv_within_at f f' s x) (h₂ : 0 < (f x).re ∨ (f x).im ≠ 0) :
has_fderiv_within_at (λ t, log (f t)) ((f x)⁻¹ • f') s x :=
(has_strict_deriv_at_log h₂).has_deriv_at.comp_has_fderiv_within_at x h₁
lemma has_deriv_within_at.clog {f : ℂ → ℂ} {f' x : ℂ} {s : set ℂ}
(h₁ : has_deriv_within_at f f' s x) (h₂ : 0 < (f x).re ∨ (f x).im ≠ 0) :
has_deriv_within_at (λ t, log (f t)) (f' / f x) s x :=
by { rw div_eq_inv_mul,
exact (has_strict_deriv_at_log h₂).has_deriv_at.comp_has_deriv_within_at x h₁ }
lemma differentiable_within_at.clog {f : E → ℂ} {s : set E} {x : E}
(h₁ : differentiable_within_at ℂ f s x) (h₂ : 0 < (f x).re ∨ (f x).im ≠ 0) :
differentiable_within_at ℂ (λ t, log (f t)) s x :=
(h₁.has_fderiv_within_at.clog h₂).differentiable_within_at
lemma differentiable_on.clog {f : E → ℂ} {s : set E}
(h₁ : differentiable_on ℂ f s) (h₂ : ∀ x ∈ s, 0 < (f x).re ∨ (f x).im ≠ 0) :
differentiable_on ℂ (λ t, log (f t)) s :=
λ x hx, (h₁ x hx).clog (h₂ x hx)
lemma differentiable.clog {f : E → ℂ} (h₁ : differentiable ℂ f)
(h₂ : ∀ x, 0 < (f x).re ∨ (f x).im ≠ 0) :
differentiable ℂ (λ t, log (f t)) :=
λ x, (h₁ x).clog (h₂ x)
end log_deriv
namespace polynomial.chebyshev
open polynomial complex
/-- The `n`-th Chebyshev polynomial of the first kind evaluates on `cos θ` to the
value `cos (n * θ)`. -/
lemma T_complex_cos (θ : ℂ) :
∀ n, (T ℂ n).eval (cos θ) = cos (n * θ)
| 0 := by simp only [T_zero, eval_one, nat.cast_zero, zero_mul, cos_zero]
| 1 := by simp only [eval_X, one_mul, T_one, nat.cast_one]
| (n + 2) :=
begin
simp only [eval_X, eval_one, T_add_two, eval_sub, eval_bit0, nat.cast_succ, eval_mul],
rw [T_complex_cos (n + 1), T_complex_cos n],
have aux : sin θ * sin θ = 1 - cos θ * cos θ,
{ rw ← sin_sq_add_cos_sq θ, ring, },
simp only [nat.cast_add, nat.cast_one, add_mul, cos_add, one_mul, sin_add, mul_assoc, aux],
ring,
end
/-- `cos (n * θ)` is equal to the `n`-th Chebyshev polynomial of the first kind evaluated
on `cos θ`. -/
lemma cos_nat_mul (n : ℕ) (θ : ℂ) :
cos (n * θ) = (T ℂ n).eval (cos θ) :=
(T_complex_cos θ n).symm
/-- The `n`-th Chebyshev polynomial of the second kind evaluates on `cos θ` to the
value `sin ((n+1) * θ) / sin θ`. -/
lemma U_complex_cos (θ : ℂ) (n : ℕ) :
(U ℂ n).eval (cos θ) * sin θ = sin ((n+1) * θ) :=
begin
induction n with d hd,
{ simp only [U_zero, nat.cast_zero, eval_one, mul_one, zero_add, one_mul] },
{ rw U_eq_X_mul_U_add_T,
simp only [eval_add, eval_mul, eval_X, T_complex_cos, add_mul, mul_assoc, hd, one_mul],
conv_rhs { rw [sin_add, mul_comm] },
push_cast,
simp only [add_mul, one_mul] }
end
/-- `sin ((n + 1) * θ)` is equal to `sin θ` multiplied with the `n`-th Chebyshev polynomial of the
second kind evaluated on `cos θ`. -/
lemma sin_nat_succ_mul (n : ℕ) (θ : ℂ) :
sin ((n + 1) * θ) = (U ℂ n).eval (cos θ) * sin θ :=
(U_complex_cos θ n).symm
end polynomial.chebyshev
namespace real
open_locale real
lemma tan_periodic : function.periodic tan π :=
by simpa only [function.periodic, tan_eq_sin_div_cos] using sin_antiperiodic.div cos_antiperiodic
lemma tan_add_pi (x : ℝ) : tan (x + π) = tan x :=
tan_periodic x
lemma tan_sub_pi (x : ℝ) : tan (x - π) = tan x :=
tan_periodic.sub_eq x
lemma tan_pi_sub (x : ℝ) : tan (π - x) = -tan x :=
tan_neg x ▸ tan_periodic.sub_eq'
lemma tan_nat_mul_pi (n : ℕ) : tan (n * π) = 0 :=
tan_zero ▸ tan_periodic.nat_mul_eq n
lemma tan_int_mul_pi (n : ℤ) : tan (n * π) = 0 :=
tan_zero ▸ tan_periodic.int_mul_eq n
lemma tan_add_nat_mul_pi (x : ℝ) (n : ℕ) : tan (x + n * π) = tan x :=
tan_periodic.nat_mul n x
lemma tan_add_int_mul_pi (x : ℝ) (n : ℤ) : tan (x + n * π) = tan x :=
tan_periodic.int_mul n x
lemma tan_sub_nat_mul_pi (x : ℝ) (n : ℕ) : tan (x - n * π) = tan x :=
tan_periodic.sub_nat_mul_eq n
lemma tan_sub_int_mul_pi (x : ℝ) (n : ℤ) : tan (x - n * π) = tan x :=
tan_periodic.sub_int_mul_eq n
lemma tan_nat_mul_pi_sub (x : ℝ) (n : ℕ) : tan (n * π - x) = -tan x :=
tan_neg x ▸ tan_periodic.nat_mul_sub_eq n
lemma tan_int_mul_pi_sub (x : ℝ) (n : ℤ) : tan (n * π - x) = -tan x :=
tan_neg x ▸ tan_periodic.int_mul_sub_eq n
lemma tan_add {x y : ℝ}
(h : ((∀ k : ℤ, x ≠ (2 * k + 1) * π / 2) ∧ ∀ l : ℤ, y ≠ (2 * l + 1) * π / 2)
∨ ((∃ k : ℤ, x = (2 * k + 1) * π / 2) ∧ ∃ l : ℤ, y = (2 * l + 1) * π / 2)) :
tan (x + y) = (tan x + tan y) / (1 - tan x * tan y) :=
by simpa only [← complex.of_real_inj, complex.of_real_sub, complex.of_real_add, complex.of_real_div,
complex.of_real_mul, complex.of_real_tan]
using @complex.tan_add (x:ℂ) (y:ℂ) (by convert h; norm_cast)
lemma tan_add' {x y : ℝ}
(h : ((∀ k : ℤ, x ≠ (2 * k + 1) * π / 2) ∧ ∀ l : ℤ, y ≠ (2 * l + 1) * π / 2)) :
tan (x + y) = (tan x + tan y) / (1 - tan x * tan y) :=
tan_add (or.inl h)
lemma tan_two_mul {x:ℝ} : tan (2 * x) = 2 * tan x / (1 - tan x ^ 2) :=
by simpa only [← complex.of_real_inj, complex.of_real_sub, complex.of_real_div, complex.of_real_pow,
complex.of_real_mul, complex.of_real_tan, complex.of_real_bit0, complex.of_real_one]
using complex.tan_two_mul
theorem cos_eq_zero_iff {θ : ℝ} : cos θ = 0 ↔ ∃ k : ℤ, θ = (2 * k + 1) * π / 2 :=
by exact_mod_cast @complex.cos_eq_zero_iff θ
theorem cos_ne_zero_iff {θ : ℝ} : cos θ ≠ 0 ↔ ∀ k : ℤ, θ ≠ (2 * k + 1) * π / 2 :=
by rw [← not_exists, not_iff_not, cos_eq_zero_iff]
lemma tan_ne_zero_iff {θ : ℝ} : tan θ ≠ 0 ↔ ∀ k : ℤ, θ ≠ k * π / 2 :=
by rw [← complex.of_real_ne_zero, complex.of_real_tan, complex.tan_ne_zero_iff]; norm_cast
lemma tan_eq_zero_iff {θ : ℝ} : tan θ = 0 ↔ ∃ k : ℤ, θ = k * π / 2 :=
by rw [← not_iff_not, not_exists, ← ne, tan_ne_zero_iff]
lemma tan_int_mul_pi_div_two (n : ℤ) : tan (n * π/2) = 0 :=
tan_eq_zero_iff.mpr (by use n)
lemma cos_eq_cos_iff {x y : ℝ} :
cos x = cos y ↔ ∃ k : ℤ, y = 2 * k * π + x ∨ y = 2 * k * π - x :=
by exact_mod_cast @complex.cos_eq_cos_iff x y
lemma sin_eq_sin_iff {x y : ℝ} :
sin x = sin y ↔ ∃ k : ℤ, y = 2 * k * π + x ∨ y = (2 * k + 1) * π - x :=
by exact_mod_cast @complex.sin_eq_sin_iff x y
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}ᶜ] 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}ᶜ] ((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 times_cont_diff_at_tan {n x} : times_cont_diff_at ℝ n tan x ↔ cos x ≠ 0 :=
⟨λ h, continuous_at_tan.1 h.continuous_at,
λ h, (complex.times_cont_diff_at_tan.2 $ by exact_mod_cast h).real_of_complex⟩
lemma continuous_on_tan : continuous_on tan {x | cos x ≠ 0} :=
λ x hx, (continuous_at_tan.2 hx).continuous_within_at
@[continuity]
lemma continuous_tan : continuous (λ x : {x | cos x ≠ 0}, tan x) :=
continuous_on_iff_continuous_restrict.1 continuous_on_tan
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 continuous_on_tan_Ioo : continuous_on tan (Ioo (-(π/2)) (π/2)) :=
λ x hx, (differentiable_at_tan_of_mem_Ioo hx).continuous_at.continuous_within_at
lemma tendsto_sin_pi_div_two : tendsto sin (𝓝[Iio (π/2)] (π/2)) (𝓝 1) :=
by { convert continuous_sin.continuous_within_at, simp }
lemma tendsto_cos_pi_div_two : tendsto cos (𝓝[Iio (π/2)] (π/2)) (𝓝[Ioi 0] 0) :=
begin
apply tendsto_nhds_within_of_tendsto_nhds_of_eventually_within,
{ convert continuous_cos.continuous_within_at, simp },
{ filter_upwards [Ioo_mem_nhds_within_Iio (right_mem_Ioc.mpr (norm_num.lt_neg_pos
_ _ pi_div_two_pos pi_div_two_pos))] λ x hx, cos_pos_of_mem_Ioo hx },
end
lemma tendsto_tan_pi_div_two : tendsto tan (𝓝[Iio (π/2)] (π/2)) at_top :=
begin
convert tendsto_cos_pi_div_two.inv_tendsto_zero.at_top_mul zero_lt_one
tendsto_sin_pi_div_two,
simp only [pi.inv_apply, ← div_eq_inv_mul, ← tan_eq_sin_div_cos]
end
lemma tendsto_sin_neg_pi_div_two : tendsto sin (𝓝[Ioi (-(π/2))] (-(π/2))) (𝓝 (-1)) :=
by { convert continuous_sin.continuous_within_at, simp }
lemma tendsto_cos_neg_pi_div_two : tendsto cos (𝓝[Ioi (-(π/2))] (-(π/2))) (𝓝[Ioi 0] 0) :=
begin
apply tendsto_nhds_within_of_tendsto_nhds_of_eventually_within,
{ convert continuous_cos.continuous_within_at, simp },
{ filter_upwards [Ioo_mem_nhds_within_Ioi (left_mem_Ico.mpr (norm_num.lt_neg_pos
_ _ pi_div_two_pos pi_div_two_pos))] λ x hx, cos_pos_of_mem_Ioo hx },
end
lemma tendsto_tan_neg_pi_div_two : tendsto tan (𝓝[Ioi (-(π/2))] (-(π/2))) at_bot :=
begin
convert tendsto_cos_neg_pi_div_two.inv_tendsto_zero.at_top_mul_neg (by norm_num)
tendsto_sin_neg_pi_div_two,
simp only [pi.inv_apply, ← div_eq_inv_mul, ← tan_eq_sin_div_cos]
end
lemma surj_on_tan : surj_on tan (Ioo (-(π / 2)) (π / 2)) univ :=
have _ := neg_lt_self pi_div_two_pos,
continuous_on_tan_Ioo.surj_on_of_tendsto (nonempty_Ioo.2 this)
(by simp [tendsto_tan_neg_pi_div_two, this]) (by simp [tendsto_tan_pi_div_two, this])
lemma tan_surjective : function.surjective tan :=
λ x, surj_on_tan.subset_range trivial
lemma image_tan_Ioo : tan '' (Ioo (-(π / 2)) (π / 2)) = univ :=
univ_subset_iff.1 surj_on_tan
/-- `real.tan` as an `order_iso` between `(-(π / 2), π / 2)` and `ℝ`. -/
def tan_order_iso : Ioo (-(π / 2)) (π / 2) ≃o ℝ :=
(strict_mono_incr_on_tan.order_iso _ _).trans $ (order_iso.set_congr _ _ image_tan_Ioo).trans
order_iso.set.univ
/-- Inverse of the `tan` function, returns values in the range `-π / 2 < arctan x` and
`arctan x < π / 2` -/
@[pp_nodot] noncomputable def arctan (x : ℝ) : ℝ :=
tan_order_iso.symm x
@[simp] lemma tan_arctan (x : ℝ) : tan (arctan x) = x :=
tan_order_iso.apply_symm_apply x
lemma arctan_mem_Ioo (x : ℝ) : arctan x ∈ Ioo (-(π / 2)) (π / 2) :=
subtype.coe_prop _
lemma arctan_tan {x : ℝ} (hx₁ : -(π / 2) < x) (hx₂ : x < π / 2) : arctan (tan x) = x :=
subtype.ext_iff.1 $ tan_order_iso.symm_apply_apply ⟨x, hx₁, hx₂⟩
lemma cos_arctan_pos (x : ℝ) : 0 < cos (arctan x) :=
cos_pos_of_mem_Ioo $ arctan_mem_Ioo x
lemma cos_sq_arctan (x : ℝ) : cos (arctan x) ^ 2 = 1 / (1 + x ^ 2) :=
by rw [one_div, ← inv_one_add_tan_sq (cos_arctan_pos x).ne', tan_arctan]
lemma sin_arctan (x : ℝ) : sin (arctan x) = x / sqrt (1 + x ^ 2) :=
by rw [← tan_div_sqrt_one_add_tan_sq (cos_arctan_pos x), tan_arctan]
lemma cos_arctan (x : ℝ) : cos (arctan x) = 1 / sqrt (1 + x ^ 2) :=
by rw [one_div, ← inv_sqrt_one_add_tan_sq (cos_arctan_pos x), tan_arctan]
lemma arctan_lt_pi_div_two (x : ℝ) : arctan x < π / 2 :=
(arctan_mem_Ioo x).2
lemma neg_pi_div_two_lt_arctan (x : ℝ) : -(π / 2) < arctan x :=
(arctan_mem_Ioo x).1
lemma arctan_eq_arcsin (x : ℝ) : arctan x = arcsin (x / sqrt (1 + x ^ 2)) :=
eq.symm $ arcsin_eq_of_sin_eq (sin_arctan x) (mem_Icc_of_Ioo $ arctan_mem_Ioo x)
lemma arcsin_eq_arctan {x : ℝ} (h : x ∈ Ioo (-(1:ℝ)) 1) :
arcsin x = arctan (x / sqrt (1 - x ^ 2)) :=
begin
rw [arctan_eq_arcsin, div_pow, sq_sqrt, one_add_div, div_div_eq_div_mul,
← sqrt_mul, mul_div_cancel', sub_add_cancel, sqrt_one, div_one];
nlinarith [h.1, h.2],
end
@[simp] lemma arctan_zero : arctan 0 = 0 :=
by simp [arctan_eq_arcsin]
lemma arctan_eq_of_tan_eq {x y : ℝ} (h : tan x = y) (hx : x ∈ Ioo (-(π / 2)) (π / 2)) :
arctan y = x :=
inj_on_tan (arctan_mem_Ioo _) hx (by rw [tan_arctan, h])
@[simp] lemma arctan_one : arctan 1 = π / 4 :=
arctan_eq_of_tan_eq tan_pi_div_four $ by split; linarith [pi_pos]
@[simp] lemma arctan_neg (x : ℝ) : arctan (-x) = - arctan x :=
by simp [arctan_eq_arcsin, neg_div]
@[continuity]
lemma continuous_arctan : continuous arctan :=
continuous_subtype_coe.comp tan_order_iso.to_homeomorph.continuous_inv_fun
lemma continuous_at_arctan {x : ℝ} : continuous_at arctan x := continuous_arctan.continuous_at
/-- `real.tan` as a `local_homeomorph` between `(-(π / 2), π / 2)` and the whole line. -/
def tan_local_homeomorph : local_homeomorph ℝ ℝ :=
{ to_fun := tan,
inv_fun := arctan,
source := Ioo (-(π / 2)) (π / 2),
target := univ,
map_source' := maps_to_univ _ _,
map_target' := λ y hy, arctan_mem_Ioo y,
left_inv' := λ x hx, arctan_tan hx.1 hx.2,
right_inv' := λ y hy, tan_arctan y,
open_source := is_open_Ioo,
open_target := is_open_univ,
continuous_to_fun := continuous_on_tan_Ioo,
continuous_inv_fun := continuous_arctan.continuous_on }
@[simp] lemma coe_tan_local_homeomorph : ⇑tan_local_homeomorph = tan := rfl
@[simp] lemma coe_tan_local_homeomorph_symm : ⇑tan_local_homeomorph.symm = arctan := rfl
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 times_cont_diff_arctan {n : with_top ℕ} : times_cont_diff ℝ n arctan :=
times_cont_diff_iff_times_cont_diff_at.2 $ λ x,
have cos (arctan x) ≠ 0 := (cos_arctan_pos x).ne',
tan_local_homeomorph.times_cont_diff_at_symm_deriv (by simpa) trivial (has_deriv_at_tan this)
(times_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_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 times_cont_diff_at.arctan (h : times_cont_diff_at ℝ n f x) :
times_cont_diff_at ℝ n (λ x, arctan (f x)) x :=
times_cont_diff_arctan.times_cont_diff_at.comp x h
lemma times_cont_diff.arctan (h : times_cont_diff ℝ n f) :
times_cont_diff ℝ n (λ x, arctan (f x)) :=
times_cont_diff_arctan.comp h
lemma times_cont_diff_within_at.arctan (h : times_cont_diff_within_at ℝ n f s x) :
times_cont_diff_within_at ℝ n (λ x, arctan (f x)) s x :=
times_cont_diff_arctan.comp_times_cont_diff_within_at h
lemma times_cont_diff_on.arctan (h : times_cont_diff_on ℝ n f s) :
times_cont_diff_on ℝ n (λ x, arctan (f x)) s :=
times_cont_diff_arctan.comp_times_cont_diff_on h
end fderiv
end
|
11975a77d04b3fcab289c2c628e15b65a20c9c13 | d1a52c3f208fa42c41df8278c3d280f075eb020c | /stage0/src/Lean/Meta/Instances.lean | bfa7811aedc8fc42925e67ef383dc3c3e3cdf3a8 | [
"Apache-2.0",
"LLVM-exception",
"NCSA",
"LGPL-3.0-only",
"LicenseRef-scancode-inner-net-2.0",
"BSD-3-Clause",
"LGPL-2.0-or-later",
"Spencer-94",
"LGPL-2.1-or-later",
"HPND",
"LicenseRef-scancode-pcre",
"ISC",
"LGPL-2.1-only",
"LicenseRef-scancode-other-permissive",
"SunPro",
"CMU-Mach"... | permissive | cipher1024/lean4 | 6e1f98bb58e7a92b28f5364eb38a14c8d0aae393 | 69114d3b50806264ef35b57394391c3e738a9822 | refs/heads/master | 1,642,227,983,603 | 1,642,011,696,000 | 1,642,011,696,000 | 228,607,691 | 0 | 0 | Apache-2.0 | 1,576,584,269,000 | 1,576,584,268,000 | null | UTF-8 | Lean | false | false | 5,627 | 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.ScopedEnvExtension
import Lean.Meta.GlobalInstances
import Lean.Meta.DiscrTree
namespace Lean.Meta
structure InstanceEntry where
keys : Array DiscrTree.Key
val : Expr
priority : Nat
globalName? : Option Name := none
deriving Inhabited
instance : BEq InstanceEntry where
beq e₁ e₂ := e₁.val == e₂.val
instance : ToFormat InstanceEntry where
format e := match e.globalName? with
| some n => format n
| _ => "<local>"
structure Instances where
discrTree : DiscrTree InstanceEntry := DiscrTree.empty
instanceNames : Std.PHashSet Name := {}
erased : Std.PHashSet Name := {}
deriving Inhabited
def addInstanceEntry (d : Instances) (e : InstanceEntry) : Instances :=
match e.globalName? with
| some n => { d with discrTree := d.discrTree.insertCore e.keys e, instanceNames := d.instanceNames.insert n }
| none => { d with discrTree := d.discrTree.insertCore e.keys e }
def Instances.eraseCore (d : Instances) (declName : Name) : Instances :=
{ d with erased := d.erased.insert declName, instanceNames := d.instanceNames.erase declName }
def Instances.erase [Monad m] [MonadError m] (d : Instances) (declName : Name) : m Instances := do
unless d.instanceNames.contains declName do
throwError "'{declName}' does not have [instance] attribute"
d.eraseCore declName
builtin_initialize instanceExtension : SimpleScopedEnvExtension InstanceEntry Instances ←
registerSimpleScopedEnvExtension {
name := `instanceExt
initial := {}
addEntry := addInstanceEntry
}
private def mkInstanceKey (e : Expr) : MetaM (Array DiscrTree.Key) := do
let type ← inferType e
withNewMCtxDepth do
let (_, _, type) ← forallMetaTelescopeReducing type
DiscrTree.mkPath type
def addInstance (declName : Name) (attrKind : AttributeKind) (prio : Nat) : MetaM Unit := do
let c ← mkConstWithLevelParams declName
let keys ← mkInstanceKey c
addGlobalInstance declName attrKind
instanceExtension.add { keys := keys, val := c, priority := prio, globalName? := declName } attrKind
builtin_initialize
registerBuiltinAttribute {
name := `instance
descr := "type class instance"
add := fun declName stx attrKind => do
let prio ← getAttrParamOptPrio stx[1]
discard <| addInstance declName attrKind prio |>.run {} {}
erase := fun declName => do
let s ← instanceExtension.getState (← getEnv)
let s ← s.erase declName
modifyEnv fun env => instanceExtension.modifyState env fun _ => s
}
def getGlobalInstancesIndex : CoreM (DiscrTree InstanceEntry) :=
return Meta.instanceExtension.getState (← getEnv) |>.discrTree
def getErasedInstances : CoreM (Std.PHashSet Name) :=
return Meta.instanceExtension.getState (← getEnv) |>.erased
/- Default instance support -/
structure DefaultInstanceEntry where
className : Name
instanceName : Name
priority : Nat
abbrev PrioritySet := Std.RBTree Nat (fun x y => compare y x)
structure DefaultInstances where
defaultInstances : NameMap (List (Name × Nat)) := {}
priorities : PrioritySet := {}
deriving Inhabited
def addDefaultInstanceEntry (d : DefaultInstances) (e : DefaultInstanceEntry) : DefaultInstances :=
let d := { d with priorities := d.priorities.insert e.priority }
match d.defaultInstances.find? e.className with
| some insts => { d with defaultInstances := d.defaultInstances.insert e.className <| (e.instanceName, e.priority) :: insts }
| none => { d with defaultInstances := d.defaultInstances.insert e.className [(e.instanceName, e.priority)] }
builtin_initialize defaultInstanceExtension : SimplePersistentEnvExtension DefaultInstanceEntry DefaultInstances ←
registerSimplePersistentEnvExtension {
name := `defaultInstanceExt
addEntryFn := addDefaultInstanceEntry
addImportedFn := fun es => (mkStateFromImportedEntries addDefaultInstanceEntry {} es)
}
def addDefaultInstance (declName : Name) (prio : Nat := 0) : MetaM Unit := do
match (← getEnv).find? declName with
| none => throwError "unknown constant '{declName}'"
| some info =>
forallTelescopeReducing info.type fun _ type => do
match type.getAppFn with
| Expr.const className _ _ =>
unless isClass (← getEnv) className do
throwError "invalid default instance '{declName}', it has type '({className} ...)', but {className}' is not a type class"
setEnv <| defaultInstanceExtension.addEntry (← getEnv) { className := className, instanceName := declName, priority := prio }
| _ => throwError "invalid default instance '{declName}', type must be of the form '(C ...)' where 'C' is a type class"
builtin_initialize
registerBuiltinAttribute {
name := `defaultInstance
descr := "type class default instance"
add := fun declName stx kind => do
let prio ← getAttrParamOptPrio stx[1]
unless kind == AttributeKind.global do throwError "invalid attribute 'defaultInstance', must be global"
discard <| addDefaultInstance declName prio |>.run {} {}
}
def getDefaultInstancesPriorities [Monad m] [MonadEnv m] : m PrioritySet :=
return defaultInstanceExtension.getState (← getEnv) |>.priorities
def getDefaultInstances [Monad m] [MonadEnv m] (className : Name) : m (List (Name × Nat)) :=
return defaultInstanceExtension.getState (← getEnv) |>.defaultInstances.find? className |>.getD []
end Lean.Meta
|
bbbdb7863164df6ba39611f9950dcbbb2affcb7a | ddf69e0b8ad10bfd251aa1fb492bd92f064768ec | /src/data/mv_polynomial/basic.lean | 402a84d673f18c7ce1ed51201c89c15274c346aa | [
"Apache-2.0"
] | permissive | MaboroshiChan/mathlib | db1c1982df384a2604b19a5e1f5c6464c7c76de1 | 7f74e6b35f6bac86b9218250e83441ac3e17264c | refs/heads/master | 1,671,993,587,476 | 1,601,911,102,000 | 1,601,911,102,000 | null | 0 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 36,853 | lean | /-
Copyright (c) 2017 Johannes Hölzl. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Johannes Hölzl, Johan Commelin, Mario Carneiro
-/
import data.polynomial.eval
/-!
# Multivariate polynomials
This file defines polynomial rings over a base ring (or even semiring),
with variables from a general type `σ` (which could be infinite).
## Important definitions
Let `R` be a commutative ring (or a semiring) and let `σ` be an arbitrary
type. This file creates the type `mv_polynomial σ R`, which mathematicians
might denote $R[X_i : i \in σ]$. It is the type of multivariate
(a.k.a. multivariable) polynomials, with variables
corresponding to the terms in `σ`, and coefficients in `R`.
### Notation
In the definitions below, we use the following notation:
+ `σ : Type*` (indexing the variables)
+ `R : Type*` `[comm_semiring 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`
### Definitions
* `mv_polynomial σ R` : the type of polynomials with variables of type `σ` and coefficients
in the commutative semiring `R`
* `monomial s a` : the monomial which mathematically would be denoted `a * X^s`
* `C a` : the constant polynomial with value `a`
* `X i` : the degree one monomial corresponding to i; mathematically this might be denoted `Xᵢ`.
* `coeff s p` : the coefficient of `s` in `p`.
* `eval₂ (f : R → S₁) (g : σ → S₁) p` : given a semiring homomorphism from `R` to another
semiring `S₁`, and a map `σ → S₁`, evaluates `p` at this valuation, returning a term of type `S₁`.
Note that `eval₂` can be made using `eval` and `map` (see below), and it has been suggested
that sticking to `eval` and `map` might make the code less brittle.
* `eval (g : σ → R) p` : given a map `σ → R`, evaluates `p` at this valuation,
returning a term of type `R`
* `map (f : R → S₁) p` : returns the multivariate polynomial obtained from `p` by the change of
coefficient semiring corresponding to `f`
## Implementation notes
Recall that if `Y` has a zero, then `X →₀ Y` is the type of functions from `X` to `Y` with finite
support, i.e. such that only finitely many elements of `X` get sent to non-zero terms in `Y`.
The definition of `mv_polynomial σ R` is `(σ →₀ ℕ) →₀ R` ; here `σ →₀ ℕ` denotes the space of all
monomials in the variables, and the function to `R` sends a monomial to its coefficient in
the polynomial being represented.
## Tags
polynomial, multivariate polynomial, multivariable polynomial
S₁ S₂ S₃
-/
noncomputable theory
open_locale classical big_operators
open set function finsupp add_monoid_algebra
open_locale big_operators
universes u v w x
variables {R : Type u} {S₁ : Type v} {S₂ : Type w} {S₃ : Type x}
/-- Multivariate polynomial, where `σ` is the index set of the variables and
`R` is the coefficient ring -/
def mv_polynomial (σ : Type*) (R : Type*) [comm_semiring R] := add_monoid_algebra R (σ →₀ ℕ)
namespace mv_polynomial
variables {σ : Type*} {a a' a₁ a₂ : R} {e : ℕ} {n m : σ} {s : σ →₀ ℕ}
section comm_semiring
variables [comm_semiring R] {p q : mv_polynomial σ R}
instance decidable_eq_mv_polynomial [decidable_eq σ] [decidable_eq R] :
decidable_eq (mv_polynomial σ R) := finsupp.decidable_eq
instance : comm_semiring (mv_polynomial σ R) := add_monoid_algebra.comm_semiring
instance : inhabited (mv_polynomial σ R) := ⟨0⟩
instance : has_scalar R (mv_polynomial σ R) := add_monoid_algebra.has_scalar
instance : semimodule R (mv_polynomial σ R) := add_monoid_algebra.semimodule
instance : algebra R (mv_polynomial σ R) := add_monoid_algebra.algebra
/-- the coercion turning an `mv_polynomial` into the function which reports the coefficient of a given monomial -/
def coeff_coe_to_fun : has_coe_to_fun (mv_polynomial σ R) :=
finsupp.has_coe_to_fun
local attribute [instance] coeff_coe_to_fun
/-- `monomial s a` is the monomial `a * X^s` -/
def monomial (s : σ →₀ ℕ) (a : R) : mv_polynomial σ R := single s a
/-- `C a` is the constant polynomial with value `a` -/
def C : R →+* mv_polynomial σ R :=
{ to_fun := monomial 0,
map_zero' := by simp [monomial],
map_one' := rfl,
map_add' := λ a a', single_add,
map_mul' := λ a a', by simp [monomial, single_mul_single] }
variables (R σ)
theorem algebra_map_eq : algebra_map R (mv_polynomial σ R) = C := rfl
variables {R σ}
/-- `X n` is the degree `1` monomial $X_n$. -/
def X (n : σ) : mv_polynomial σ R := monomial (single n 1) 1
@[simp] lemma C_0 : C 0 = (0 : mv_polynomial σ R) := by simp [C, monomial]; refl
@[simp] lemma C_1 : C 1 = (1 : mv_polynomial σ R) := rfl
lemma C_mul_monomial : C a * monomial s a' = monomial s (a * a') :=
by simp [C, monomial, single_mul_single]
@[simp] lemma C_add : (C (a + a') : mv_polynomial σ R) = C a + C a' := single_add
@[simp] lemma C_mul : (C (a * a') : mv_polynomial σ R) = C a * C a' := C_mul_monomial.symm
@[simp] lemma C_pow (a : R) (n : ℕ) : (C (a^n) : mv_polynomial σ R) = (C a)^n :=
by induction n; simp [pow_succ, *]
lemma C_injective (σ : Type*) (R : Type*) [comm_semiring R] :
function.injective (C : R → mv_polynomial σ R) :=
finsupp.single_injective _
@[simp] lemma C_inj {σ : Type*} (R : Type*) [comm_semiring R] (r s : R) :
(C r : mv_polynomial σ R) = C s ↔ r = s :=
(C_injective σ R).eq_iff
instance infinite_of_infinite (σ : Type*) (R : Type*) [comm_semiring R] [infinite R] :
infinite (mv_polynomial σ R) :=
infinite.of_injective C (C_injective _ _)
instance infinite_of_nonempty (σ : Type*) (R : Type*) [nonempty σ] [comm_semiring R] [nontrivial R] :
infinite (mv_polynomial σ R) :=
infinite.of_injective (λ i : ℕ, monomial (single (classical.arbitrary σ) i) 1)
begin
intros m n h,
have := (single_eq_single_iff _ _ _ _).mp h,
simp only [and_true, eq_self_iff_true, or_false, one_ne_zero, and_self,
single_eq_single_iff, eq_self_iff_true, true_and] at this,
rcases this with (rfl|⟨rfl, rfl⟩); refl
end
lemma C_eq_coe_nat (n : ℕ) : (C ↑n : mv_polynomial σ R) = n :=
by induction n; simp [nat.succ_eq_add_one, *]
theorem C_mul' : mv_polynomial.C a * p = a • p :=
begin
apply finsupp.induction p,
{ exact (mul_zero $ mv_polynomial.C a).trans (@smul_zero R (mv_polynomial σ R) _ _ _ a).symm },
intros p b f haf hb0 ih,
rw [mul_add, ih, @smul_add R (mv_polynomial σ R) _ _ _ a], congr' 1,
rw [add_monoid_algebra.mul_def, finsupp.smul_single],
simp only [mv_polynomial.C],
dsimp [mv_polynomial.monomial],
rw [finsupp.sum_single_index, finsupp.sum_single_index, zero_add],
{ rw [mul_zero, finsupp.single_zero] },
{ rw finsupp.sum_single_index,
all_goals { rw [zero_mul, finsupp.single_zero] }, }
end
lemma smul_eq_C_mul (p : mv_polynomial σ R) (a : R) : a • p = C a * p := C_mul'.symm
lemma X_pow_eq_single : X n ^ e = monomial (single n e) (1 : R) :=
begin
induction e,
{ simp [X], refl },
{ simp [pow_succ, e_ih],
simp [X, monomial, single_mul_single, nat.succ_eq_add_one, add_comm] }
end
lemma monomial_add_single : monomial (s + single n e) a = (monomial s a * X n ^ e) :=
by rw [X_pow_eq_single, monomial, monomial, monomial, single_mul_single]; simp
lemma monomial_single_add : monomial (single n e + s) a = (X n ^ e * monomial s a) :=
by rw [X_pow_eq_single, monomial, monomial, monomial, single_mul_single]; simp
lemma single_eq_C_mul_X {s : σ} {a : R} {n : ℕ} :
monomial (single s n) a = C a * (X s)^n :=
by { rw [← zero_add (single s n), monomial_add_single, C], refl }
@[simp] lemma monomial_add {s : σ →₀ ℕ} {a b : R} :
monomial s a + monomial s b = monomial s (a + b) :=
by simp [monomial]
@[simp] lemma monomial_mul {s s' : σ →₀ ℕ} {a b : R} :
monomial s a * monomial s' b = monomial (s + s') (a * b) :=
by rw [monomial, monomial, monomial, add_monoid_algebra.single_mul_single]
@[simp] lemma monomial_zero {s : σ →₀ ℕ}: monomial s (0 : R) = 0 :=
by rw [monomial, single_zero]; refl
@[simp] lemma sum_monomial {A : Type*} [add_comm_monoid A]
{u : σ →₀ ℕ} {r : R} {b : (σ →₀ ℕ) → R → A} (w : b u 0 = 0) :
sum (monomial u r) b = b u r :=
sum_single_index w
lemma monomial_eq : monomial s a = C a * (s.prod $ λn e, X n ^ e : mv_polynomial σ R) :=
begin
apply @finsupp.induction σ ℕ _ _ s,
{ simp only [C, prod_zero_index]; exact (mul_one _).symm },
{ assume n e s hns he ih,
rw [monomial_single_add, ih, prod_add_index, prod_single_index, mul_left_comm],
{ simp only [pow_zero], },
{ intro a, simp only [pow_zero], },
{ intros, rw pow_add, }, }
end
@[recursor 5]
lemma induction_on {M : mv_polynomial σ R → Prop} (p : mv_polynomial σ R)
(h_C : ∀a, M (C a)) (h_add : ∀p q, M p → M q → M (p + q)) (h_X : ∀p n, M p → M (p * X n)) :
M p :=
have ∀s a, M (monomial s a),
begin
assume s a,
apply @finsupp.induction σ ℕ _ _ s,
{ show M (monomial 0 a), from h_C a, },
{ assume n e p hpn he ih,
have : ∀e:ℕ, M (monomial p a * X n ^ e),
{ intro e,
induction e,
{ simp [ih] },
{ simp [ih, pow_succ', (mul_assoc _ _ _).symm, h_X, e_ih] } },
simp [add_comm, monomial_add_single, this] }
end,
finsupp.induction p
(by have : M (C 0) := h_C 0; rwa [C_0] at this)
(assume s a p hsp ha hp, h_add _ _ (this s a) hp)
theorem induction_on' {P : mv_polynomial σ R → Prop} (p : mv_polynomial σ R)
(h1 : ∀ (u : σ →₀ ℕ) (a : R), P (monomial u a))
(h2 : ∀ (p q : mv_polynomial σ R), P p → P q → P (p + q)) : P p :=
finsupp.induction p (suffices P (monomial 0 0), by rwa monomial_zero at this,
show P (monomial 0 0), from h1 0 0)
(λ a b f ha hb hPf, h2 _ _ (h1 _ _) hPf)
lemma hom_eq_hom [semiring S₂]
(f g : mv_polynomial σ R →+* S₂)
(hC : ∀a:R, f (C a) = g (C a)) (hX : ∀n:σ, f (X n) = g (X n)) (p : mv_polynomial σ R) :
f p = g p :=
mv_polynomial.induction_on p hC
begin assume p q hp hq, rw [is_semiring_hom.map_add f, is_semiring_hom.map_add g, hp, hq] end
begin assume p n hp, rw [is_semiring_hom.map_mul f, is_semiring_hom.map_mul g, hp, hX] end
lemma is_id (f : mv_polynomial σ R →+* mv_polynomial σ R)
(hC : ∀a:R, f (C a) = (C a)) (hX : ∀n:σ, f (X n) = (X n)) (p : mv_polynomial σ R) :
f p = p :=
hom_eq_hom f (ring_hom.id _) hC hX p
lemma ring_hom_ext {A : Type*} [comm_semiring A] (f g : mv_polynomial σ R →+* A)
(hC : ∀ r, f (C r) = g (C r)) (hX : ∀ i, f (X i) = g (X i)) :
f = g :=
begin
ext p : 1,
apply mv_polynomial.induction_on' p,
{ intros m r, rw [monomial_eq, finsupp.prod],
simp only [monomial_eq, ring_hom.map_mul, ring_hom.map_prod, ring_hom.map_pow, hC, hX], },
{ intros p q hp hq, simp only [ring_hom.map_add, hp, hq] }
end
lemma alg_hom_ext {A : Type*} [comm_semiring A] [algebra R A]
(f g : mv_polynomial σ R →ₐ[R] A) (hf : ∀ i : σ, f (X i) = g (X i)) :
f = g :=
begin
apply alg_hom.coe_ring_hom_injective,
apply ring_hom_ext,
{ intro r,
calc f (C r) = algebra_map R A r : f.commutes r
... = g (C r) : (g.commutes r).symm },
{ simpa only [hf] },
end
@[simp] lemma alg_hom_C (f : mv_polynomial σ R →ₐ[R] mv_polynomial σ R) (r : R) :
f (C r) = C r :=
f.commutes r
section coeff
section
-- While setting up `coeff`, we make `mv_polynomial` reducible so we can treat it as a function.
local attribute [reducible] mv_polynomial
/-- The coefficient of the monomial `m` in the multi-variable polynomial `p`. -/
def coeff (m : σ →₀ ℕ) (p : mv_polynomial σ R) : R := p m
end
lemma ext (p q : mv_polynomial σ R) :
(∀ m, coeff m p = coeff m q) → p = q := ext
lemma ext_iff (p q : mv_polynomial σ R) :
p = q ↔ (∀ m, coeff m p = coeff m q) :=
⟨ λ h m, by rw h, ext p q⟩
@[simp] lemma coeff_add (m : σ →₀ ℕ) (p q : mv_polynomial σ R) :
coeff m (p + q) = coeff m p + coeff m q := add_apply
@[simp] lemma coeff_zero (m : σ →₀ ℕ) :
coeff m (0 : mv_polynomial σ R) = 0 := rfl
@[simp] lemma coeff_zero_X (i : σ) : coeff 0 (X i : mv_polynomial σ R) = 0 :=
single_eq_of_ne (λ h, by cases single_eq_zero.1 h)
instance coeff.is_add_monoid_hom (m : σ →₀ ℕ) :
is_add_monoid_hom (coeff m : mv_polynomial σ R → R) :=
{ map_add := coeff_add m,
map_zero := coeff_zero m }
lemma coeff_sum {X : Type*} (s : finset X) (f : X → mv_polynomial σ R) (m : σ →₀ ℕ) :
coeff m (∑ x in s, f x) = ∑ x in s, coeff m (f x) :=
(s.sum_hom _).symm
lemma monic_monomial_eq (m) : monomial m (1:R) = (m.prod $ λn e, X n ^ e : mv_polynomial σ R) :=
by simp [monomial_eq]
@[simp] lemma coeff_monomial (m n) (a) :
coeff m (monomial n a : mv_polynomial σ R) = if n = m then a else 0 :=
by convert single_apply
@[simp] lemma coeff_C (m) (a) :
coeff m (C a : mv_polynomial σ R) = if 0 = m then a else 0 :=
by convert single_apply
lemma coeff_X_pow (i : σ) (m) (k : ℕ) :
coeff m (X i ^ k : mv_polynomial σ R) = if single i k = m then 1 else 0 :=
begin
have := coeff_monomial m (finsupp.single i k) (1:R),
rwa [@monomial_eq _ _ (1:R) (finsupp.single i k) _,
C_1, one_mul, finsupp.prod_single_index] at this,
exact pow_zero _
end
lemma coeff_X' (i : σ) (m) :
coeff m (X i : mv_polynomial σ R) = if single i 1 = m then 1 else 0 :=
by rw [← coeff_X_pow, pow_one]
@[simp] lemma coeff_X (i : σ) :
coeff (single i 1) (X i : mv_polynomial σ R) = 1 :=
by rw [coeff_X', if_pos rfl]
@[simp] lemma coeff_C_mul (m) (a : R) (p : mv_polynomial σ R) : coeff m (C a * p) = a * coeff m p :=
begin
rw [mul_def], simp only [C, monomial], dsimp, rw [monomial],
rw sum_single_index,
{ simp only [zero_add],
convert sum_apply,
simp only [single_apply, finsupp.sum],
rw finset.sum_eq_single m,
{ rw if_pos rfl, refl },
{ intros m' hm' H, apply if_neg, exact H },
{ intros hm, rw if_pos rfl, rw not_mem_support_iff at hm, simp [hm] } },
simp only [zero_mul, single_zero, zero_add, sum_zero],
end
lemma coeff_mul (p q : mv_polynomial σ R) (n : σ →₀ ℕ) :
coeff n (p * q) = ∑ x in (antidiagonal n).support, coeff x.1 p * coeff x.2 q :=
begin
rw mul_def,
have := @finset.sum_sigma (σ →₀ ℕ) R _ _ p.support (λ _, q.support)
(λ x, if (x.1 + x.2 = n) then coeff x.1 p * coeff x.2 q else 0),
convert this.symm using 1; clear this,
{ rw [coeff],
repeat {rw sum_apply, apply finset.sum_congr rfl, intros, dsimp only},
convert single_apply },
{ have : (antidiagonal n).support.filter (λ x, x.1 ∈ p.support ∧ x.2 ∈ q.support) ⊆
(antidiagonal n).support := finset.filter_subset _,
rw [← finset.sum_sdiff this, finset.sum_eq_zero, zero_add], swap,
{ intros x hx,
rw [finset.mem_sdiff, not_iff_not_of_iff (finset.mem_filter),
not_and, not_and, not_mem_support_iff] at hx,
by_cases H : x.1 ∈ p.support,
{ rw [coeff, coeff, hx.2 hx.1 H, mul_zero] },
{ rw not_mem_support_iff at H, rw [coeff, H, zero_mul] } },
symmetry,
rw [← finset.sum_sdiff (finset.filter_subset _), finset.sum_eq_zero, zero_add], swap,
{ intros x hx,
rw [finset.mem_sdiff, not_iff_not_of_iff (finset.mem_filter), not_and] at hx,
simp only [if_neg (hx.2 hx.1)] },
{ apply finset.sum_bij, swap 5,
{ intros x hx, exact (x.1, x.2) },
{ intros x hx, rw [finset.mem_filter, finset.mem_sigma] at hx,
simpa [finset.mem_filter, mem_antidiagonal_support] using hx.symm },
{ intros x hx, rw finset.mem_filter at hx, simp only [if_pos hx.2], },
{ rintros ⟨i,j⟩ ⟨k,l⟩ hij hkl, simpa using and.intro },
{ rintros ⟨i,j⟩ hij, refine ⟨⟨i,j⟩, _, _⟩, { apply_instance },
{ rw [finset.mem_filter, mem_antidiagonal_support] at hij,
simpa [finset.mem_filter, finset.mem_sigma] using hij.symm },
{ refl } } },
all_goals { apply_instance } }
end
@[simp] lemma coeff_mul_X (m) (s : σ) (p : mv_polynomial σ R) :
coeff (m + single s 1) (p * X s) = coeff m p :=
begin
have : (m, single s 1) ∈ (m + single s 1).antidiagonal.support := mem_antidiagonal_support.2 rfl,
rw [coeff_mul, ← finset.insert_erase this, finset.sum_insert (finset.not_mem_erase _ _),
finset.sum_eq_zero, add_zero, coeff_X, mul_one],
rintros ⟨i,j⟩ hij,
rw [finset.mem_erase, mem_antidiagonal_support] at hij,
by_cases H : single s 1 = j,
{ subst j, simpa using hij },
{ rw [coeff_X', if_neg H, mul_zero] },
end
lemma coeff_mul_X' (m) (s : σ) (p : mv_polynomial σ R) :
coeff m (p * X s) = if s ∈ m.support then coeff (m - single s 1) p else 0 :=
begin
split_ifs with h h,
{ conv_rhs {rw ← coeff_mul_X _ s},
congr' with t,
by_cases hj : s = t,
{ subst t, simp only [nat_sub_apply, add_apply, single_eq_same],
refine (nat.sub_add_cancel $ nat.pos_of_ne_zero _).symm, rwa mem_support_iff at h },
{ simp [single_eq_of_ne hj] } },
{ delta coeff, rw ← not_mem_support_iff, intro hm, apply h,
have H := support_mul _ _ hm, simp only [finset.mem_bind] at H,
rcases H with ⟨j, hj, i', hi', H⟩,
delta X monomial at hi', rw mem_support_single at hi', cases hi', subst i',
erw finset.mem_singleton at H, subst m,
rw [mem_support_iff, add_apply, single_apply, if_pos rfl],
intro H, rw [_root_.add_eq_zero_iff] at H, exact one_ne_zero H.2 }
end
lemma eq_zero_iff {p : mv_polynomial σ R} :
p = 0 ↔ ∀ d, coeff d p = 0 :=
by { rw ext_iff, simp only [coeff_zero], }
lemma ne_zero_iff {p : mv_polynomial σ R} :
p ≠ 0 ↔ ∃ d, coeff d p ≠ 0 :=
by { rw [ne.def, eq_zero_iff], push_neg, }
lemma exists_coeff_ne_zero {p : mv_polynomial σ R} (h : p ≠ 0) :
∃ d, coeff d p ≠ 0 :=
ne_zero_iff.mp h
lemma C_dvd_iff_dvd_coeff (r : R) (φ : mv_polynomial σ R) :
C r ∣ φ ↔ ∀ i, r ∣ φ.coeff i :=
begin
split,
{ rintros ⟨φ, rfl⟩ c, rw coeff_C_mul, apply dvd_mul_right },
{ intro h,
choose c hc using h,
classical,
let c' : (σ →₀ ℕ) → R := λ i, if i ∈ φ.support then c i else 0,
let ψ : mv_polynomial σ R := ∑ i in φ.support, monomial i (c' i),
use ψ,
apply mv_polynomial.ext, intro i,
simp only [coeff_C_mul, coeff_sum, coeff_monomial, finset.sum_ite_eq', c'],
split_ifs with hi hi,
{ rw hc },
{ rw finsupp.not_mem_support_iff at hi, rwa mul_zero } },
end
end coeff
section constant_coeff
/--
`constant_coeff p` returns the constant term of the polynomial `p`, defined as `coeff 0 p`.
This is a ring homomorphism.
-/
def constant_coeff : mv_polynomial σ R →+* R :=
{ to_fun := coeff 0,
map_one' := by simp [coeff, add_monoid_algebra.one_def],
map_mul' := by simp [coeff_mul, finsupp.support_single_ne_zero],
map_zero' := coeff_zero _,
map_add' := coeff_add _ }
lemma constant_coeff_eq : (constant_coeff : mv_polynomial σ R → R) = coeff 0 := rfl
@[simp]
lemma constant_coeff_C (r : R) :
constant_coeff (C r : mv_polynomial σ R) = r :=
by simp [constant_coeff_eq]
@[simp]
lemma constant_coeff_X (i : σ) :
constant_coeff (X i : mv_polynomial σ R) = 0 :=
by simp [constant_coeff_eq]
lemma constant_coeff_monomial (d : σ →₀ ℕ) (r : R) :
constant_coeff (monomial d r) = if d = 0 then r else 0 :=
by rw [constant_coeff_eq, coeff_monomial]
variables (σ R)
@[simp] lemma constant_coeff_comp_C :
constant_coeff.comp (C : R →+* mv_polynomial σ R) = ring_hom.id R :=
by { ext, apply constant_coeff_C }
@[simp] lemma constant_coeff_comp_algebra_map :
constant_coeff.comp (algebra_map R (mv_polynomial σ R)) = ring_hom.id R :=
constant_coeff_comp_C _ _
end constant_coeff
section as_sum
@[simp]
lemma support_sum_monomial_coeff (p : mv_polynomial σ R) : ∑ v in p.support, monomial v (coeff v p) = p :=
finsupp.sum_single p
lemma as_sum (p : mv_polynomial σ R) : p = ∑ v in p.support, monomial v (coeff v p) :=
(support_sum_monomial_coeff p).symm
end as_sum
section eval₂
variables [comm_semiring S₁]
variables (f : R →+* S₁) (g : σ → S₁)
/-- Evaluate a polynomial `p` given a valuation `g` of all the variables
and a ring hom `f` from the scalar ring to the target -/
def eval₂ (p : mv_polynomial σ R) : S₁ :=
p.sum (λs a, f a * s.prod (λn e, g n ^ e))
lemma eval₂_eq (g : R →+* S₁) (x : σ → S₁) (f : mv_polynomial σ R) :
f.eval₂ g x = ∑ d in f.support, g (f.coeff d) * ∏ i in d.support, x i ^ d i :=
rfl
lemma eval₂_eq' [fintype σ] (g : R →+* S₁) (x : σ → S₁) (f : mv_polynomial σ R) :
f.eval₂ g x = ∑ d in f.support, g (f.coeff d) * ∏ i, x i ^ d i :=
by { simp only [eval₂_eq, ← finsupp.prod_pow], refl }
@[simp] lemma eval₂_zero : (0 : mv_polynomial σ R).eval₂ f g = 0 :=
finsupp.sum_zero_index
section
@[simp] lemma eval₂_add : (p + q).eval₂ f g = p.eval₂ f g + q.eval₂ f g :=
finsupp.sum_add_index
(by simp [is_semiring_hom.map_zero f])
(by simp [add_mul, is_semiring_hom.map_add f])
@[simp] lemma eval₂_monomial : (monomial s a).eval₂ f g = f a * s.prod (λn e, g n ^ e) :=
finsupp.sum_single_index (by simp [is_semiring_hom.map_zero f])
@[simp] lemma eval₂_C (a) : (C a).eval₂ f g = f a :=
by simp [eval₂_monomial, C, prod_zero_index]
@[simp] lemma eval₂_one : (1 : mv_polynomial σ R).eval₂ f g = 1 :=
(eval₂_C _ _ _).trans (is_semiring_hom.map_one f)
@[simp] lemma eval₂_X (n) : (X n).eval₂ f g = g n :=
by simp [eval₂_monomial,
is_semiring_hom.map_one f, X, prod_single_index, pow_one]
lemma eval₂_mul_monomial :
∀{s a}, (p * monomial s a).eval₂ f g = p.eval₂ f g * f a * s.prod (λn e, g n ^ e) :=
begin
apply mv_polynomial.induction_on p,
{ assume a' s a,
simp [C_mul_monomial, eval₂_monomial, is_semiring_hom.map_mul f] },
{ assume p q ih_p ih_q, simp [add_mul, eval₂_add, ih_p, ih_q] },
{ assume p n ih s a,
from calc (p * X n * monomial s a).eval₂ f g = (p * monomial (single n 1 + s) a).eval₂ f g :
by simp [monomial_single_add, -add_comm, pow_one, mul_assoc]
... = (p * monomial (single n 1) 1).eval₂ f g * f a * s.prod (λn e, g n ^ e) :
by simp [ih, prod_single_index, prod_add_index, pow_one, pow_add, mul_assoc, mul_left_comm,
is_semiring_hom.map_one f, -add_comm] }
end
@[simp] lemma eval₂_mul : ∀{p}, (p * q).eval₂ f g = p.eval₂ f g * q.eval₂ f g :=
begin
apply mv_polynomial.induction_on q,
{ simp [C, eval₂_monomial, eval₂_mul_monomial, prod_zero_index] },
{ simp [mul_add, eval₂_add] {contextual := tt} },
{ simp [X, eval₂_monomial, eval₂_mul_monomial, (mul_assoc _ _ _).symm] { contextual := tt} }
end
@[simp] lemma eval₂_pow {p:mv_polynomial σ R} : ∀{n:ℕ}, (p ^ n).eval₂ f g = (p.eval₂ f g)^n
| 0 := eval₂_one _ _
| (n + 1) := by rw [pow_add, pow_one, pow_add, pow_one, eval₂_mul, eval₂_pow]
instance eval₂.is_semiring_hom : is_semiring_hom (eval₂ f g) :=
{ map_zero := eval₂_zero _ _,
map_one := eval₂_one _ _,
map_add := λ p q, eval₂_add _ _,
map_mul := λ p q, eval₂_mul _ _ }
/-- `mv_polynomial.eval₂` as a `ring_hom`. -/
def eval₂_hom (f : R →+* S₁) (g : σ → S₁) : mv_polynomial σ R →+* S₁ := ring_hom.of (eval₂ f g)
@[simp] lemma coe_eval₂_hom (f : R →+* S₁) (g : σ → S₁) : ⇑(eval₂_hom f g) = eval₂ f g := rfl
lemma eval₂_hom_congr {f₁ f₂ : R →+* S₁} {g₁ g₂ : σ → S₁} {p₁ p₂ : mv_polynomial σ R} :
f₁ = f₂ → g₁ = g₂ → p₁ = p₂ → eval₂_hom f₁ g₁ p₁ = eval₂_hom f₂ g₂ p₂ :=
by rintros rfl rfl rfl; refl
end
@[simp] lemma eval₂_hom_C (f : R →+* S₁) (g : σ → S₁) (r : R) :
eval₂_hom f g (C r) = f r := eval₂_C f g r
@[simp] lemma eval₂_hom_X' (f : R →+* S₁) (g : σ → S₁) (i : σ) :
eval₂_hom f g (X i) = g i := eval₂_X f g i
@[simp] lemma comp_eval₂_hom [comm_semiring S₂] (f : R →+* S₁) (g : σ → S₁) (φ : S₁ →+* S₂) :
φ.comp (eval₂_hom f g) = (eval₂_hom (φ.comp f) (λ i, φ (g i))) :=
begin
apply mv_polynomial.ring_hom_ext,
{ intro r, rw [ring_hom.comp_apply, eval₂_hom_C, eval₂_hom_C, ring_hom.comp_apply] },
{ intro i, rw [ring_hom.comp_apply, eval₂_hom_X', eval₂_hom_X'] }
end
lemma map_eval₂_hom [comm_semiring S₂] (f : R →+* S₁) (g : σ → S₁) (φ : S₁ →+* S₂)
(p : mv_polynomial σ R) :
φ (eval₂_hom f g p) = (eval₂_hom (φ.comp f) (λ i, φ (g i)) p) :=
by { rw ← comp_eval₂_hom, refl }
lemma eval₂_hom_monomial (f : R →+* S₁) (g : σ → S₁) (d : σ →₀ ℕ) (r : R) :
eval₂_hom f g (monomial d r) = f r * d.prod (λ i k, g i ^ k) :=
by simp only [monomial_eq, ring_hom.map_mul, eval₂_hom_C, finsupp.prod,
ring_hom.map_prod, ring_hom.map_pow, eval₂_hom_X']
section
local attribute [instance, priority 10] is_semiring_hom.comp
lemma eval₂_comp_left {S₂} [comm_semiring S₂]
(k : S₁ →+* S₂) (f : R →+* S₁) (g : σ → S₁)
(p) : k (eval₂ f g p) = eval₂ (k.comp f) (k ∘ g) p :=
by apply mv_polynomial.induction_on p; simp [
eval₂_add, k.map_add,
eval₂_mul, k.map_mul] {contextual := tt}
end
@[simp] lemma eval₂_eta (p : mv_polynomial σ R) : eval₂ C X p = p :=
by apply mv_polynomial.induction_on p;
simp [eval₂_add, eval₂_mul] {contextual := tt}
lemma eval₂_congr (g₁ g₂ : σ → S₁)
(h : ∀ {i : σ} {c : σ →₀ ℕ}, i ∈ c.support → coeff c p ≠ 0 → g₁ i = g₂ i) :
p.eval₂ f g₁ = p.eval₂ f g₂ :=
begin
apply finset.sum_congr rfl,
intros c hc, dsimp, congr' 1,
apply finset.prod_congr rfl,
intros i hi, dsimp, congr' 1,
apply h hi,
rwa finsupp.mem_support_iff at hc
end
@[simp] lemma eval₂_prod (s : finset S₂) (p : S₂ → mv_polynomial σ R) :
eval₂ f g (∏ x in s, p x) = ∏ x in s, eval₂ f g (p x) :=
(s.prod_hom _).symm
@[simp] lemma eval₂_sum (s : finset S₂) (p : S₂ → mv_polynomial σ R) :
eval₂ f g (∑ x in s, p x) = ∑ x in s, eval₂ f g (p x) :=
(s.sum_hom _).symm
attribute [to_additive] eval₂_prod
lemma eval₂_assoc (q : S₂ → mv_polynomial σ R) (p : mv_polynomial S₂ R) :
eval₂ f (λ t, eval₂ f g (q t)) p = eval₂ f g (eval₂ C q p) :=
begin
show _ = eval₂_hom f g (eval₂ C q p),
rw eval₂_comp_left (eval₂_hom f g), congr' with a, simp,
end
end eval₂
section eval
variables {f : σ → R}
/-- Evaluate a polynomial `p` given a valuation `f` of all the variables -/
def eval (f : σ → R) : mv_polynomial σ R →+* R := eval₂_hom (ring_hom.id _) f
lemma eval_eq (x : σ → R) (f : mv_polynomial σ R) :
eval x f = ∑ d in f.support, f.coeff d * ∏ i in d.support, x i ^ d i :=
rfl
lemma eval_eq' [fintype σ] (x : σ → R) (f : mv_polynomial σ R) :
eval x f = ∑ d in f.support, f.coeff d * ∏ i, x i ^ d i :=
eval₂_eq' (ring_hom.id R) x f
lemma eval_monomial : eval f (monomial s a) = a * s.prod (λn e, f n ^ e) :=
eval₂_monomial _ _
@[simp] lemma eval_C : ∀ a, eval f (C a) = a := eval₂_C _ _
@[simp] lemma eval_X : ∀ n, eval f (X n) = f n := eval₂_X _ _
@[simp] lemma smul_eval (x) (p : mv_polynomial σ R) (s) : eval x (s • p) = s * eval x p :=
by rw [smul_eq_C_mul, (eval x).map_mul, eval_C]
lemma eval_sum {ι : Type*} (s : finset ι) (f : ι → mv_polynomial σ R) (g : σ → R) :
eval g (∑ i in s, f i) = ∑ i in s, eval g (f i) :=
(eval g).map_sum _ _
@[to_additive]
lemma eval_prod {ι : Type*} (s : finset ι) (f : ι → mv_polynomial σ R) (g : σ → R) :
eval g (∏ i in s, f i) = ∏ i in s, eval g (f i) :=
(eval g).map_prod _ _
theorem eval_assoc {τ}
(f : σ → mv_polynomial τ R) (g : τ → R)
(p : mv_polynomial σ R) :
eval (eval g ∘ f) p = eval g (eval₂ C f p) :=
begin
rw eval₂_comp_left (eval g),
unfold eval, simp only [coe_eval₂_hom],
congr' with a, simp
end
end eval
section map
variables [comm_semiring S₁]
variables (f : R →+* S₁)
/-- `map f p` maps a polynomial `p` across a ring hom `f` -/
def map : mv_polynomial σ R →+* mv_polynomial σ S₁ := eval₂_hom (C.comp f) X
@[simp] theorem map_monomial (s : σ →₀ ℕ) (a : R) : map f (monomial s a) = monomial s (f a) :=
(eval₂_monomial _ _).trans monomial_eq.symm
@[simp] theorem map_C : ∀ (a : R), map f (C a : mv_polynomial σ R) = C (f a) := map_monomial _ _
@[simp] theorem map_X : ∀ (n : σ), map f (X n : mv_polynomial σ R) = X n := eval₂_X _ _
theorem map_id : ∀ (p : mv_polynomial σ R), map (ring_hom.id R) p = p := eval₂_eta
theorem map_map [comm_semiring S₂]
(g : S₁ →+* S₂)
(p : mv_polynomial σ R) :
map g (map f p) = map (g.comp f) p :=
(eval₂_comp_left (map g) (C.comp f) X p).trans $
begin
congr,
{ ext1 a, simp only [map_C, comp_app, ring_hom.coe_comp], },
{ ext1 n, simp only [map_X, comp_app], }
end
theorem eval₂_eq_eval_map (g : σ → S₁) (p : mv_polynomial σ R) :
p.eval₂ f g = eval g (map f p) :=
begin
unfold map eval, simp only [coe_eval₂_hom],
have h := eval₂_comp_left (eval₂_hom _ g),
dsimp at h,
rw h,
congr,
{ ext1 a, simp only [coe_eval₂_hom, ring_hom.id_apply, comp_app, eval₂_C, ring_hom.coe_comp], },
{ ext1 n, simp only [comp_app, eval₂_X], },
end
lemma eval₂_comp_right {S₂} [comm_semiring S₂]
(k : S₁ →+* S₂) (f : R →+* S₁) (g : σ → S₁)
(p) : k (eval₂ f g p) = eval₂ k (k ∘ g) (map f p) :=
begin
apply mv_polynomial.induction_on p,
{ intro r, rw [eval₂_C, map_C, eval₂_C] },
{ intros p q hp hq, rw [eval₂_add, k.map_add, (map f).map_add, eval₂_add, hp, hq] },
{ intros p s hp,
rw [eval₂_mul, k.map_mul, (map f).map_mul, eval₂_mul, map_X, hp, eval₂_X, eval₂_X] }
end
lemma map_eval₂ (f : R →+* S₁) (g : S₂ → mv_polynomial S₃ R) (p : mv_polynomial S₂ R) :
map f (eval₂ C g p) = eval₂ C (map f ∘ g) (map f p) :=
begin
apply mv_polynomial.induction_on p,
{ intro r, rw [eval₂_C, map_C, map_C, eval₂_C] },
{ intros p q hp hq, rw [eval₂_add, (map f).map_add, hp, hq, (map f).map_add, eval₂_add] },
{ intros p s hp,
rw [eval₂_mul, (map f).map_mul, hp, (map f).map_mul, map_X, eval₂_mul, eval₂_X, eval₂_X] }
end
lemma coeff_map (p : mv_polynomial σ R) : ∀ (m : σ →₀ ℕ), coeff m (map f p) = f (coeff m p) :=
begin
apply mv_polynomial.induction_on p; clear p,
{ intros r m, rw [map_C], simp only [coeff_C], split_ifs, {refl}, rw f.map_zero },
{ intros p q hp hq m, simp only [hp, hq, (map f).map_add, coeff_add], rw f.map_add },
{ intros p i hp m, simp only [hp, (map f).map_mul, map_X],
simp only [hp, mem_support_iff, coeff_mul_X'],
split_ifs, {refl},
rw is_semiring_hom.map_zero f }
end
lemma map_injective (hf : function.injective f) :
function.injective (map f : mv_polynomial σ R → mv_polynomial σ S₁) :=
begin
intros p q h,
simp only [ext_iff, coeff_map] at h ⊢,
intro m,
exact hf (h m),
end
@[simp] lemma eval_map (f : R →+* S₁) (g : σ → S₁) (p : mv_polynomial σ R) :
eval g (map f p) = eval₂ f g p :=
by { apply mv_polynomial.induction_on p; { simp { contextual := tt } } }
@[simp] lemma eval₂_map [comm_semiring S₂] (f : R →+* S₁) (g : σ → S₂) (φ : S₁ →+* S₂)
(p : mv_polynomial σ R) :
eval₂ φ g (map f p) = eval₂ (φ.comp f) g p :=
by { rw [← eval_map, ← eval_map, map_map], }
@[simp] lemma eval₂_hom_map_hom [comm_semiring S₂] (f : R →+* S₁) (g : σ → S₂) (φ : S₁ →+* S₂)
(p : mv_polynomial σ R) :
eval₂_hom φ g (map f p) = eval₂_hom (φ.comp f) g p :=
eval₂_map f g φ p
@[simp] lemma constant_coeff_map (f : R →+* S₁) (φ : mv_polynomial σ R) :
constant_coeff (mv_polynomial.map f φ) = f (constant_coeff φ) :=
coeff_map f φ 0
lemma constant_coeff_comp_map (f : R →+* S₁) :
(constant_coeff : mv_polynomial σ S₁ →+* S₁).comp (mv_polynomial.map f) = f.comp (constant_coeff) :=
by { ext, apply constant_coeff_map }
lemma support_map_subset (p : mv_polynomial σ R) : (map f p).support ⊆ p.support :=
begin
intro x,
simp only [finsupp.mem_support_iff],
contrapose!,
change p.coeff x = 0 → (map f p).coeff x = 0,
rw coeff_map,
intro hx,
rw hx,
exact ring_hom.map_zero f
end
lemma support_map_of_injective (p : mv_polynomial σ R) {f : R →+* S₁} (hf : injective f) :
(map f p).support = p.support :=
begin
apply finset.subset.antisymm,
{ exact mv_polynomial.support_map_subset _ _ },
intros x hx,
rw finsupp.mem_support_iff,
contrapose! hx,
simp only [not_not, finsupp.mem_support_iff],
change (map f p).coeff x = 0 at hx,
rw [coeff_map, ← f.map_zero] at hx,
exact hf hx
end
lemma C_dvd_iff_map_hom_eq_zero
(q : R →+* S₁) (r : R) (hr : ∀ r' : R, q r' = 0 ↔ r ∣ r')
(φ : mv_polynomial σ R) :
C r ∣ φ ↔ map q φ = 0 :=
begin
rw [C_dvd_iff_dvd_coeff, mv_polynomial.ext_iff],
simp only [coeff_map, ring_hom.coe_of, coeff_zero, hr],
end
lemma map_map_range_eq_iff (f : R →+* S₁) (g : S₁ → R) (hg : g 0 = 0) (φ : mv_polynomial σ S₁) :
map f (finsupp.map_range g hg φ) = φ ↔ ∀ d, f (g (coeff d φ)) = coeff d φ :=
begin
rw mv_polynomial.ext_iff,
apply forall_congr, intro m,
rw [coeff_map],
apply eq_iff_eq_cancel_right.mpr,
refl
end
end map
section aeval
/-! ### The algebra of multivariate polynomials -/
variables (f : σ → S₁)
variables [comm_semiring S₁] [algebra R S₁] [comm_semiring S₂]
/-- A map `σ → S₁` where `S₁` is an algebra over `R` generates an `R`-algebra homomorphism
from multivariate polynomials over `σ` to `S₁`. -/
def aeval : mv_polynomial σ R →ₐ[R] S₁ :=
{ commutes' := λ r, eval₂_C _ _ _
.. eval₂_hom (algebra_map R S₁) f }
theorem aeval_def (p : mv_polynomial σ R) : aeval f p = eval₂ (algebra_map R S₁) f p := rfl
lemma aeval_eq_eval₂_hom (p : mv_polynomial σ R) :
aeval f p = eval₂_hom (algebra_map R S₁) f p := rfl
@[simp] lemma aeval_X (s : σ) : aeval f (X s : mv_polynomial _ R) = f s := eval₂_X _ _ _
@[simp] lemma aeval_C (r : R) : aeval f (C r) = algebra_map R S₁ r := eval₂_C _ _ _
theorem eval_unique (φ : mv_polynomial σ R →ₐ[R] S₁) :
φ = aeval (φ ∘ X) :=
begin
ext p,
apply mv_polynomial.induction_on p,
{ intro r, rw aeval_C, exact φ.commutes r },
{ intros f g ih1 ih2,
rw [φ.map_add, ih1, ih2, alg_hom.map_add] },
{ intros p j ih,
rw [φ.map_mul, alg_hom.map_mul, aeval_X, ih] }
end
lemma comp_aeval {B : Type*} [comm_semiring B] [algebra R B]
(φ : S₁ →ₐ[R] B) :
φ.comp (aeval f) = (aeval (λ i, φ (f i))) :=
begin
apply mv_polynomial.alg_hom_ext,
intros i,
rw [alg_hom.comp_apply, aeval_X, aeval_X],
end
@[simp] lemma map_aeval {B : Type*} [comm_semiring B]
(g : σ → S₁) (φ : S₁ →+* B) (p : mv_polynomial σ R) :
φ (aeval g p) = (eval₂_hom (φ.comp (algebra_map R S₁)) (λ i, φ (g i)) p) :=
by { rw ← comp_eval₂_hom, refl }
@[simp] lemma aeval_zero (p : mv_polynomial σ R) :
aeval (0 : σ → S₁) p = algebra_map _ _ (constant_coeff p) :=
begin
apply mv_polynomial.induction_on p,
{ simp only [aeval_C, forall_const, if_true, constant_coeff_C, eq_self_iff_true] },
{ intros, simp only [*, alg_hom.map_add, ring_hom.map_add, coeff_add] },
{ intros,
simp only [ring_hom.map_mul, constant_coeff_X, pi.zero_apply, ring_hom.map_zero, eq_self_iff_true,
mem_support_iff, not_true, aeval_X, if_false, ne.def, mul_zero, alg_hom.map_mul, zero_apply] }
end
@[simp] lemma aeval_zero' (p : mv_polynomial σ R) :
aeval (λ _, 0 : σ → S₁) p = algebra_map _ _ (constant_coeff p) :=
aeval_zero p
lemma aeval_monomial (g : σ → S₁) (d : σ →₀ ℕ) (r : R) :
aeval g (monomial d r) = algebra_map _ _ r * d.prod (λ i k, g i ^ k) :=
eval₂_hom_monomial _ _ _ _
lemma eval₂_hom_eq_zero (f : R →+* S₂) (g : σ → S₂) (φ : mv_polynomial σ R)
(h : ∀ d, φ.coeff d ≠ 0 → ∃ i ∈ d.support, g i = 0) :
eval₂_hom f g φ = 0 :=
begin
rw [φ.as_sum, ring_hom.map_sum, finset.sum_eq_zero],
intros d hd,
obtain ⟨i, hi, hgi⟩ : ∃ i ∈ d.support, g i = 0 := h d (finsupp.mem_support_iff.mp hd),
rw [eval₂_hom_monomial, finsupp.prod, finset.prod_eq_zero hi, mul_zero],
rw [hgi, zero_pow],
rwa [nat.pos_iff_ne_zero, ← finsupp.mem_support_iff]
end
lemma aeval_eq_zero [algebra R S₂] (f : σ → S₂) (φ : mv_polynomial σ R)
(h : ∀ d, φ.coeff d ≠ 0 → ∃ i ∈ d.support, f i = 0) :
aeval f φ = 0 :=
eval₂_hom_eq_zero _ _ _ h
end aeval
end comm_semiring
end mv_polynomial
|
3b26e0890cb4de424e13751f1bedd22e7f981576 | 63abd62053d479eae5abf4951554e1064a4c45b4 | /src/deprecated/group.lean | f8eb531d0a87157ee7691a1a43beecbc403f733f | [
"Apache-2.0"
] | permissive | Lix0120/mathlib | 0020745240315ed0e517cbf32e738d8f9811dd80 | e14c37827456fc6707f31b4d1d16f1f3a3205e91 | refs/heads/master | 1,673,102,855,024 | 1,604,151,044,000 | 1,604,151,044,000 | 308,930,245 | 0 | 0 | Apache-2.0 | 1,604,164,710,000 | 1,604,163,547,000 | null | UTF-8 | Lean | false | false | 12,974 | lean | /-
Copyright (c) 2019 Yury Kudryashov. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Author: Yury Kudryashov
-/
import algebra.group.type_tags
import algebra.group.units_hom
import algebra.ring.basic
/-!
# Unbundled monoid and group homomorphisms (deprecated)
This file defines typeclasses for unbundled monoid and group homomorphisms. Though these classes are
deprecated, they are still widely used in mathlib, and probably will not go away before Lean 4
because Lean 3 often fails to coerce a bundled homomorphism to a function.
## main definitions
monoid_hom, is_monoid_hom (deprecated), is_group_hom (deprecated)
## 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
-/
/--
We have lemmas stating that the composition of two morphisms is again a morphism.
Since composition is reducible, type class inference will always succeed in applying these instances.
For example when the goal is just `⊢ is_mul_hom f` the instance `is_mul_hom.comp`
will still succeed, unifying `f` with `f ∘ (λ x, x)`. This causes type class inference to loop.
To avoid this, we do not make these lemmas instances.
-/
library_note "no instance on morphisms"
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. -/
-- see Note [no instance on morphisms]
@[to_additive "The composition of addition preserving maps also preserves addition"]
lemma 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, priority 10, 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]
class is_monoid_hom [monoid α] [monoid β] (f : α → β) extends is_mul_hom f : Prop :=
(map_one [] : f 1 = 1)
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]
instance (f : M →* N) : is_monoid_hom (f : M → N) :=
{ map_mul := f.map_mul,
map_one := f.map_one }
end monoid_hom
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] -- see Note [no instance on morphisms]
lemma 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], ..is_mul_hom.comp _ _ }
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]
class is_group_hom [group α] [group β] (f : α → β) extends is_mul_hom f : Prop
@[to_additive]
instance monoid_hom.is_group_hom {G H : Type*} {_ : group G} {_ : group H} (f : G →* H) :
is_group_hom (f : G → H) :=
{ map_mul := f.map_mul }
/-- 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. -/
@[priority 100, to_additive] -- see Note [lower instance priority]
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] -- see Note [no instance on morphisms]
lemma comp {γ} [group γ] (g : β → γ) [is_group_hom g] : is_group_hom (g ∘ f) :=
{ ..is_mul_hom.comp _ _ }
/-- 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, priority 10, 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
namespace ring_hom
/-!
These instances look redundant, because `deprecated.ring` provides `is_ring_hom` for a `→+*`.
Nevertheless these are harmless, and helpful for stripping out dependencies on `deprecated.ring`.
-/
variables {R : Type*} {S : Type*}
section
variables [semiring R] [semiring S]
instance (f : R →+* S) : is_monoid_hom f :=
{ map_one := f.map_one,
map_mul := f.map_mul }
instance (f : R →+* S) : is_add_monoid_hom f :=
{ map_zero := f.map_zero,
map_add := f.map_add }
end
section
variables [ring R] [ring S]
instance (f : R →+* S) : is_add_group_hom f :=
{ map_add := f.map_add }
end
end ring_hom
/-- Inversion is a group homomorphism if the group is commutative. -/
@[instance, to_additive neg.is_add_group_hom
"Negation is an `add_group` homomorphism if the `add_group` is commutative."]
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)
namespace units
variables {M : Type*} {N : Type*} [monoid M] [monoid N]
/-- The group homomorphism on units induced by a multiplicative morphism. -/
@[reducible] def map' (f : M → N) [is_monoid_hom f] : units M →* units N :=
map (monoid_hom.of f)
@[simp] lemma coe_map' (f : M → N) [is_monoid_hom f] (x : units M) :
↑((map' f : units M → units N) x) = f x :=
rfl
instance coe_is_monoid_hom : is_monoid_hom (coe : units M → M) := (coe_hom M).is_monoid_hom
end units
namespace is_unit
variables {M : Type*} {N : Type*} [monoid M] [monoid N] {x : M}
lemma map' (f : M → N) {x : M} (h : is_unit x) [is_monoid_hom f] :
is_unit (f x) :=
h.map (monoid_hom.of f)
end is_unit
lemma additive.is_add_hom [has_mul α] [has_mul β] (f : α → β) [is_mul_hom f] :
@is_add_hom (additive α) (additive β) _ _ f :=
{ map_add := @is_mul_hom.map_mul α β _ _ f _ }
lemma multiplicative.is_mul_hom [has_add α] [has_add β] (f : α → β) [is_add_hom f] :
@is_mul_hom (multiplicative α) (multiplicative β) _ _ f :=
{ map_mul := @is_add_hom.map_add α β _ _ f _ }
lemma additive.is_add_monoid_hom [monoid α] [monoid β] (f : α → β) [is_monoid_hom f] :
@is_add_monoid_hom (additive α) (additive β) _ _ f :=
{ map_zero := @is_monoid_hom.map_one α β _ _ f _,
..additive.is_add_hom f }
lemma multiplicative.is_monoid_hom [add_monoid α] [add_monoid β] (f : α → β) [is_add_monoid_hom f] :
@is_monoid_hom (multiplicative α) (multiplicative β) _ _ f :=
{ map_one := @is_add_monoid_hom.map_zero α β _ _ f _,
..multiplicative.is_mul_hom f }
lemma additive.is_add_group_hom [group α] [group β] (f : α → β) [is_group_hom f] :
@is_add_group_hom (additive α) (additive β) _ _ f :=
{ map_add := @is_mul_hom.map_mul α β _ _ f _ }
lemma multiplicative.is_group_hom [add_group α] [add_group β] (f : α → β) [is_add_group_hom f] :
@is_group_hom (multiplicative α) (multiplicative β) _ _ f :=
{ map_mul := @is_add_hom.map_add α β _ _ f _ }
|
3c1acbd9fb16d121130a2d132a1e57b7076a1da4 | cf39355caa609c0f33405126beee2739aa3cb77e | /library/init/data/quot.lean | b9046e75e06d7998dd3c501eca386c65cc1a5a43 | [
"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 | 10,367 | 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
Quotient types.
-/
prelude
/- We import propext here, otherwise we would need a quot.lift for propositions. -/
import init.data.sigma.basic init.logic init.propext init.data.setoid
universes u v
-- iff can now be used to do substitutions in a calculation
attribute [subst]
lemma iff_subst {a b : Prop} {p : Prop → Prop} (h₁ : a ↔ b) (h₂ : p a) : p b :=
eq.subst (propext h₁) h₂
namespace quot
constant sound : Π {α : Sort u} {r : α → α → Prop} {a b : α}, r a b → quot.mk r a = quot.mk r b
attribute [elab_as_eliminator] lift ind
protected lemma lift_beta {α : Sort u} {r : α → α → Prop} {β : Sort v} (f : α → β) (c : ∀ a b, r a b → f a = f b) (a : α) : lift f c (quot.mk r a) = f a :=
rfl
protected lemma ind_beta {α : Sort u} {r : α → α → Prop} {β : quot r → Prop} (p : ∀ a, β (quot.mk r a)) (a : α) : (ind p (quot.mk r a) : β (quot.mk r a)) = p a :=
rfl
attribute [reducible, elab_as_eliminator]
protected def lift_on {α : Sort u} {β : Sort v} {r : α → α → Prop} (q : quot r) (f : α → β) (c : ∀ a b, r a b → f a = f b) : β :=
lift f c q
attribute [elab_as_eliminator]
protected lemma induction_on {α : Sort u} {r : α → α → Prop} {β : quot r → Prop} (q : quot r) (h : ∀ a, β (quot.mk r a)) : β q :=
ind h q
lemma exists_rep {α : Sort u} {r : α → α → Prop} (q : quot r) : ∃ a : α, (quot.mk r a) = q :=
quot.induction_on q (λ a, ⟨a, rfl⟩)
section
variable {α : Sort u}
variable {r : α → α → Prop}
variable {β : quot r → Sort v}
local notation `⟦`:max a `⟧` := quot.mk r a
attribute [reducible]
protected def indep (f : Π a, β ⟦a⟧) (a : α) : psigma β :=
⟨⟦a⟧, f a⟩
protected lemma indep_coherent (f : Π a, β ⟦a⟧)
(h : ∀ (a b : α) (p : r a b), (eq.rec (f a) (sound p) : β ⟦b⟧) = f b)
: ∀ a b, r a b → quot.indep f a = quot.indep f b :=
λ a b e, psigma.eq (sound e) (h a b e)
protected lemma lift_indep_pr1
(f : Π a, β ⟦a⟧) (h : ∀ (a b : α) (p : r a b), (eq.rec (f a) (sound p) : β ⟦b⟧) = f b)
(q : quot r) : (lift (quot.indep f) (quot.indep_coherent f h) q).1 = q :=
quot.ind (λ (a : α), eq.refl (quot.indep f a).1) q
attribute [reducible, elab_as_eliminator]
protected def rec
(f : Π a, β ⟦a⟧) (h : ∀ (a b : α) (p : r a b), (eq.rec (f a) (sound p) : β ⟦b⟧) = f b)
(q : quot r) : β q :=
eq.rec_on (quot.lift_indep_pr1 f h q) ((lift (quot.indep f) (quot.indep_coherent f h) q).2)
attribute [reducible, elab_as_eliminator]
protected def rec_on
(q : quot r) (f : Π a, β ⟦a⟧) (h : ∀ (a b : α) (p : r a b), (eq.rec (f a) (sound p) : β ⟦b⟧) = f b) : β q :=
quot.rec f h q
attribute [reducible, elab_as_eliminator]
protected def rec_on_subsingleton
[h : ∀ a, subsingleton (β ⟦a⟧)] (q : quot r) (f : Π a, β ⟦a⟧) : β q :=
quot.rec f (λ a b h, subsingleton.elim _ (f b)) q
attribute [reducible, elab_as_eliminator]
protected def hrec_on
(q : quot r) (f : Π a, β ⟦a⟧) (c : ∀ (a b : α) (p : r a b), f a == f b) : β q :=
quot.rec_on q f
(λ a b p, eq_of_heq (calc
(eq.rec (f a) (sound p) : β ⟦b⟧) == f a : eq_rec_heq (sound p) (f a)
... == f b : c a b p))
end
end quot
def quotient {α : Sort u} (s : setoid α) :=
@quot α setoid.r
namespace quotient
protected def mk {α : Sort u} [s : setoid α] (a : α) : quotient s :=
quot.mk setoid.r a
notation `⟦`:max a `⟧`:0 := quotient.mk a
lemma sound {α : Sort u} [s : setoid α] {a b : α} : a ≈ b → ⟦a⟧ = ⟦b⟧ :=
quot.sound
attribute [reducible, elab_as_eliminator]
protected def lift {α : Sort u} {β : Sort v} [s : setoid α] (f : α → β) : (∀ a b, a ≈ b → f a = f b) → quotient s → β :=
quot.lift f
attribute [elab_as_eliminator]
protected lemma ind {α : Sort u} [s : setoid α] {β : quotient s → Prop} : (∀ a, β ⟦a⟧) → ∀ q, β q :=
quot.ind
attribute [reducible, elab_as_eliminator]
protected def lift_on {α : Sort u} {β : Sort v} [s : setoid α] (q : quotient s) (f : α → β) (c : ∀ a b, a ≈ b → f a = f b) : β :=
quot.lift_on q f c
attribute [elab_as_eliminator]
protected lemma induction_on {α : Sort u} [s : setoid α] {β : quotient s → Prop} (q : quotient s) (h : ∀ a, β ⟦a⟧) : β q :=
quot.induction_on q h
lemma exists_rep {α : Sort u} [s : setoid α] (q : quotient s) : ∃ a : α, ⟦a⟧ = q :=
quot.exists_rep q
section
variable {α : Sort u}
variable [s : setoid α]
variable {β : quotient s → Sort v}
protected def rec
(f : Π a, β ⟦a⟧) (h : ∀ (a b : α) (p : a ≈ b), (eq.rec (f a) (quotient.sound p) : β ⟦b⟧) = f b)
(q : quotient s) : β q :=
quot.rec f h q
attribute [reducible, elab_as_eliminator]
protected def rec_on
(q : quotient s) (f : Π a, β ⟦a⟧) (h : ∀ (a b : α) (p : a ≈ b), (eq.rec (f a) (quotient.sound p) : β ⟦b⟧) = f b) : β q :=
quot.rec_on q f h
attribute [reducible, elab_as_eliminator]
protected def rec_on_subsingleton
[h : ∀ a, subsingleton (β ⟦a⟧)] (q : quotient s) (f : Π a, β ⟦a⟧) : β q :=
@quot.rec_on_subsingleton _ _ _ h q f
attribute [reducible, elab_as_eliminator]
protected def hrec_on
(q : quotient s) (f : Π a, β ⟦a⟧) (c : ∀ (a b : α) (p : a ≈ b), f a == f b) : β q :=
quot.hrec_on q f c
end
section
universes u_a u_b u_c
variables {α : Sort u_a} {β : Sort u_b} {φ : Sort u_c}
variables [s₁ : setoid α] [s₂ : setoid β]
include s₁ s₂
attribute [reducible, elab_as_eliminator]
protected def lift₂
(f : α → β → φ)(c : ∀ a₁ a₂ b₁ b₂, a₁ ≈ b₁ → a₂ ≈ b₂ → f a₁ a₂ = f b₁ b₂)
(q₁ : quotient s₁) (q₂ : quotient s₂) : φ :=
quotient.lift
(λ (a₁ : α), quotient.lift (f a₁) (λ (a b : β), c a₁ a a₁ b (setoid.refl a₁)) q₂)
(λ (a b : α) (h : a ≈ b),
@quotient.ind β s₂
(λ (a_1 : quotient s₂),
(quotient.lift (f a) (λ (a_1 b : β), c a a_1 a b (setoid.refl a)) a_1)
=
(quotient.lift (f b) (λ (a b_1 : β), c b a b b_1 (setoid.refl b)) a_1))
(λ (a' : β), c a a' b a' h (setoid.refl a'))
q₂)
q₁
attribute [reducible, elab_as_eliminator]
protected def lift_on₂
(q₁ : quotient s₁) (q₂ : quotient s₂) (f : α → β → φ) (c : ∀ a₁ a₂ b₁ b₂, a₁ ≈ b₁ → a₂ ≈ b₂ → f a₁ a₂ = f b₁ b₂) : φ :=
quotient.lift₂ f c q₁ q₂
attribute [elab_as_eliminator]
protected lemma ind₂ {φ : quotient s₁ → quotient s₂ → Prop} (h : ∀ a b, φ ⟦a⟧ ⟦b⟧) (q₁ : quotient s₁) (q₂ : quotient s₂) : φ q₁ q₂ :=
quotient.ind (λ a₁, quotient.ind (λ a₂, h a₁ a₂) q₂) q₁
attribute [elab_as_eliminator]
protected lemma induction_on₂
{φ : quotient s₁ → quotient s₂ → Prop} (q₁ : quotient s₁) (q₂ : quotient s₂) (h : ∀ a b, φ ⟦a⟧ ⟦b⟧) : φ q₁ q₂ :=
quotient.ind (λ a₁, quotient.ind (λ a₂, h a₁ a₂) q₂) q₁
attribute [elab_as_eliminator]
protected lemma induction_on₃
[s₃ : setoid φ]
{δ : quotient s₁ → quotient s₂ → quotient s₃ → Prop} (q₁ : quotient s₁) (q₂ : quotient s₂) (q₃ : quotient s₃) (h : ∀ a b c, δ ⟦a⟧ ⟦b⟧ ⟦c⟧)
: δ q₁ q₂ q₃ :=
quotient.ind (λ a₁, quotient.ind (λ a₂, quotient.ind (λ a₃, h a₁ a₂ a₃) q₃) q₂) q₁
end
section exact
variable {α : Sort u}
variable [s : setoid α]
include s
private def rel (q₁ q₂ : quotient s) : Prop :=
quotient.lift_on₂ q₁ q₂
(λ a₁ a₂, a₁ ≈ a₂)
(λ a₁ a₂ b₁ b₂ a₁b₁ a₂b₂,
propext (iff.intro
(λ a₁a₂, setoid.trans (setoid.symm a₁b₁) (setoid.trans a₁a₂ a₂b₂))
(λ b₁b₂, setoid.trans a₁b₁ (setoid.trans b₁b₂ (setoid.symm a₂b₂)))))
local infix ` ~ `:50 := rel
private lemma rel.refl : ∀ q : quotient s, q ~ q :=
λ q, quot.induction_on q (λ a, setoid.refl a)
private lemma eq_imp_rel {q₁ q₂ : quotient s} : q₁ = q₂ → q₁ ~ q₂ :=
assume h, eq.rec_on h (rel.refl q₁)
lemma exact {a b : α} : ⟦a⟧ = ⟦b⟧ → a ≈ b :=
assume h, eq_imp_rel h
end exact
section
universes u_a u_b u_c
variables {α : Sort u_a} {β : Sort u_b}
variables [s₁ : setoid α] [s₂ : setoid β]
include s₁ s₂
attribute [reducible, elab_as_eliminator]
protected def rec_on_subsingleton₂
{φ : quotient s₁ → quotient s₂ → Sort u_c} [h : ∀ a b, subsingleton (φ ⟦a⟧ ⟦b⟧)]
(q₁ : quotient s₁) (q₂ : quotient s₂) (f : Π a b, φ ⟦a⟧ ⟦b⟧) : φ q₁ q₂:=
@quotient.rec_on_subsingleton _ s₁ (λ q, φ q q₂) (λ a, quotient.ind (λ b, h a b) q₂) q₁
(λ a, quotient.rec_on_subsingleton q₂ (λ b, f a b))
end
end quotient
section
variable {α : Type u}
variable (r : α → α → Prop)
inductive eqv_gen : α → α → Prop
| rel : Π x y, r x y → eqv_gen x y
| refl : Π x, eqv_gen x x
| symm : Π x y, eqv_gen x y → eqv_gen y x
| trans : Π x y z, eqv_gen x y → eqv_gen y z → eqv_gen x z
theorem eqv_gen.is_equivalence : equivalence (@eqv_gen α r) :=
mk_equivalence _ eqv_gen.refl eqv_gen.symm eqv_gen.trans
def eqv_gen.setoid : setoid α :=
setoid.mk _ (eqv_gen.is_equivalence r)
theorem quot.exact {a b : α} (H : quot.mk r a = quot.mk r b) : eqv_gen r a b :=
@quotient.exact _ (eqv_gen.setoid r) a b (@congr_arg _ _ _ _
(quot.lift (@quotient.mk _ (eqv_gen.setoid r)) (λx y h, quot.sound (eqv_gen.rel x y h))) H)
theorem quot.eqv_gen_sound {r : α → α → Prop} {a b : α} (H : eqv_gen r a b) : quot.mk r a = quot.mk r b :=
eqv_gen.rec_on H
(λ x y h, quot.sound h)
(λ x, rfl)
(λ x y _ IH, eq.symm IH)
(λ x y z _ _ IH₁ IH₂, eq.trans IH₁ IH₂)
end
open decidable
instance {α : Sort u} {s : setoid α} [d : ∀ a b : α, decidable (a ≈ b)] : decidable_eq (quotient s) :=
λ q₁ q₂ : quotient s,
quotient.rec_on_subsingleton₂ q₁ q₂
(λ a₁ a₂,
match (d a₁ a₂) with
| (is_true h₁) := is_true (quotient.sound h₁)
| (is_false h₂) := is_false (λ h, absurd (quotient.exact h) h₂)
end)
|
1cf32a5235e9977fc3939c5ceca12507a363417b | 8cae430f0a71442d02dbb1cbb14073b31048e4b0 | /src/algebra/algebra/basic.lean | 518dfad84113ed5e220dbda2cdc7204e3044409c | [
"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 | 30,686 | lean | /-
Copyright (c) 2018 Kenny Lau. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Kenny Lau, Yury Kudryashov
-/
import algebra.module.basic
import algebra.module.ulift
import algebra.ne_zero
import algebra.punit_instances
import algebra.ring.aut
import algebra.ring.ulift
import algebra.char_zero.lemmas
import linear_algebra.basic
import ring_theory.subring.basic
import tactic.abel
/-!
# Algebras over commutative semirings
> THIS FILE IS SYNCHRONIZED WITH MATHLIB4.
> Any changes to this file require a corresponding PR to mathlib4.
In this file we define associative unital `algebra`s over commutative (semi)rings, algebra
homomorphisms `alg_hom`, and algebra equivalences `alg_equiv`.
`subalgebra`s are defined in `algebra.algebra.subalgebra`.
For the category of `R`-algebras, denoted `Algebra R`, see the file
`algebra/category/Algebra/basic.lean`.
See the implementation notes for remarks about non-associative and non-unital algebras.
## Main definitions:
* `algebra R A`: the algebra typeclass.
* `algebra_map R A : R →+* A`: the canonical map from `R` to `A`, as a `ring_hom`. This is the
preferred spelling of this map, it is also available as:
* `algebra.linear_map R A : R →ₗ[R] A`, a `linear_map`.
* `algebra.of_id R A : R →ₐ[R] A`, an `alg_hom` (defined in a later file).
* Instances of `algebra` in this file:
* `algebra.id`
* `algebra_nat`
* `algebra_int`
* `algebra_rat`
* `mul_opposite.algebra`
* `module.End.algebra`
## Implementation notes
Given a commutative (semi)ring `R`, there are two ways to define an `R`-algebra structure on a
(possibly noncommutative) (semi)ring `A`:
* By endowing `A` with a morphism of rings `R →+* A` denoted `algebra_map R A` which lands in the
center of `A`.
* By requiring `A` be an `R`-module such that the action associates and commutes with multiplication
as `r • (a₁ * a₂) = (r • a₁) * a₂ = a₁ * (r • a₂)`.
We define `algebra R A` in a way that subsumes both definitions, by extending `has_smul R A` and
requiring that this scalar action `r • x` must agree with left multiplication by the image of the
structure morphism `algebra_map R A r * x`.
As a result, there are two ways to talk about an `R`-algebra `A` when `A` is a semiring:
1. ```lean
variables [comm_semiring R] [semiring A]
variables [algebra R A]
```
2. ```lean
variables [comm_semiring R] [semiring A]
variables [module R A] [smul_comm_class R A A] [is_scalar_tower R A A]
```
The first approach implies the second via typeclass search; so any lemma stated with the second set
of arguments will automatically apply to the first set. Typeclass search does not know that the
second approach implies the first, but this can be shown with:
```lean
example {R A : Type*} [comm_semiring R] [semiring A]
[module R A] [smul_comm_class R A A] [is_scalar_tower R A A] : algebra R A :=
algebra.of_module smul_mul_assoc mul_smul_comm
```
The advantage of the first approach is that `algebra_map R A` is available, and `alg_hom R A B` and
`subalgebra R A` can be used. For concrete `R` and `A`, `algebra_map R A` is often definitionally
convenient.
The advantage of the second approach is that `comm_semiring R`, `semiring A`, and `module R A` can
all be relaxed independently; for instance, this allows us to:
* Replace `semiring A` with `non_unital_non_assoc_semiring A` in order to describe non-unital and/or
non-associative algebras.
* Replace `comm_semiring R` and `module R A` with `comm_group R'` and `distrib_mul_action R' A`,
which when `R' = Rˣ` lets us talk about the "algebra-like" action of `Rˣ` on an
`R`-algebra `A`.
While `alg_hom R A B` cannot be used in the second approach, `non_unital_alg_hom R A B` still can.
You should always use the first approach when working with associative unital algebras, and mimic
the second approach only when you need to weaken a condition on either `R` or `A`.
-/
universes u v w u₁ v₁
open_locale big_operators
section prio
-- We set this priority to 0 later in this file
set_option extends_priority 200 /- control priority of
`instance [algebra R A] : has_smul R A` -/
/--
An associative unital `R`-algebra is a semiring `A` equipped with a map into its center `R → A`.
See the implementation notes in this file for discussion of the details of this definition.
-/
@[nolint has_nonempty_instance]
class algebra (R : Type u) (A : Type v) [comm_semiring R] [semiring A]
extends has_smul R A, R →+* A :=
(commutes' : ∀ r x, to_fun r * x = x * to_fun r)
(smul_def' : ∀ r x, r • x = to_fun r * x)
end prio
/-- Embedding `R →+* A` given by `algebra` structure. -/
def algebra_map (R : Type u) (A : Type v) [comm_semiring R] [semiring A] [algebra R A] : R →+* A :=
algebra.to_ring_hom
namespace algebra_map
def has_lift_t (R A : Type*) [comm_semiring R] [semiring A] [algebra R A] :
has_lift_t R A := ⟨λ r, algebra_map R A r⟩
attribute [instance, priority 900] algebra_map.has_lift_t
section comm_semiring_semiring
variables {R A : Type*} [comm_semiring R] [semiring A] [algebra R A]
@[simp, norm_cast] lemma coe_zero : (↑(0 : R) : A) = 0 := map_zero (algebra_map R A)
@[simp, norm_cast] lemma coe_one : (↑(1 : R) : A) = 1 := map_one (algebra_map R A)
@[norm_cast] lemma coe_add (a b : R) : (↑(a + b : R) : A) = ↑a + ↑b :=
map_add (algebra_map R A) a b
@[norm_cast] lemma coe_mul (a b : R) : (↑(a * b : R) : A) = ↑a * ↑b :=
map_mul (algebra_map R A) a b
@[norm_cast] lemma coe_pow (a : R) (n : ℕ) : (↑(a ^ n : R) : A) = ↑a ^ n :=
map_pow (algebra_map R A) _ _
end comm_semiring_semiring
section comm_ring_ring
variables {R A : Type*} [comm_ring R] [ring A] [algebra R A]
@[norm_cast] lemma coe_neg (x : R) : (↑(-x : R) : A) = -↑x :=
map_neg (algebra_map R A) x
end comm_ring_ring
section comm_semiring_comm_semiring
variables {R A : Type*} [comm_semiring R] [comm_semiring A] [algebra R A]
open_locale big_operators
-- direct to_additive fails because of some mix-up with polynomials
@[norm_cast] lemma coe_prod {ι : Type*} {s : finset ι} (a : ι → R) :
(↑( ∏ (i : ι) in s, a i : R) : A) = ∏ (i : ι) in s, (↑(a i) : A) :=
map_prod (algebra_map R A) a s
-- to_additive fails for some reason
@[norm_cast] lemma coe_sum {ι : Type*} {s : finset ι} (a : ι → R) :
↑(( ∑ (i : ι) in s, a i)) = ∑ (i : ι) in s, (↑(a i) : A) :=
map_sum (algebra_map R A) a s
attribute [to_additive] coe_prod
end comm_semiring_comm_semiring
section field_nontrivial
variables {R A : Type*} [field R] [comm_semiring A] [nontrivial A] [algebra R A]
@[norm_cast, simp] lemma coe_inj {a b : R} : (↑a : A) = ↑b ↔ a = b :=
(algebra_map R A).injective.eq_iff
@[norm_cast, simp] lemma lift_map_eq_zero_iff (a : R) : (↑a : A) = 0 ↔ a = 0 :=
map_eq_zero_iff _ (algebra_map R A).injective
end field_nontrivial
section semifield_semidivision_ring
variables {R : Type*} (A : Type*) [semifield R] [division_semiring A] [algebra R A]
@[norm_cast] lemma coe_inv (r : R) : ↑(r⁻¹) = ((↑r)⁻¹ : A) :=
map_inv₀ (algebra_map R A) r
@[norm_cast] lemma coe_div (r s : R) : ↑(r / s) = (↑r / ↑s : A) :=
map_div₀ (algebra_map R A) r s
@[norm_cast] lemma coe_zpow (r : R) (z : ℤ) : ↑(r ^ z) = (↑r ^ z : A) :=
map_zpow₀ (algebra_map R A) r z
end semifield_semidivision_ring
section field_division_ring
variables (R A : Type*) [field R] [division_ring A] [algebra R A]
@[norm_cast] lemma coe_rat_cast (q : ℚ) : ↑(q : R) = (q : A) :=
map_rat_cast (algebra_map R A) q
end field_division_ring
end algebra_map
/-- Creating an algebra from a morphism to the center of a semiring. -/
def ring_hom.to_algebra' {R S} [comm_semiring R] [semiring S] (i : R →+* S)
(h : ∀ c x, i c * x = x * i c) :
algebra R S :=
{ smul := λ c x, i c * x,
commutes' := h,
smul_def' := λ c x, rfl,
to_ring_hom := i}
/-- Creating an algebra from a morphism to a commutative semiring. -/
def ring_hom.to_algebra {R S} [comm_semiring R] [comm_semiring S] (i : R →+* S) :
algebra R S :=
i.to_algebra' $ λ _, mul_comm _
lemma ring_hom.algebra_map_to_algebra {R S} [comm_semiring R] [comm_semiring S]
(i : R →+* S) :
@algebra_map R S _ _ i.to_algebra = i :=
rfl
namespace algebra
variables {R : Type u} {S : Type v} {A : Type w} {B : Type*}
/-- Let `R` be a commutative semiring, let `A` be a semiring with a `module R` structure.
If `(r • 1) * x = x * (r • 1) = r • x` for all `r : R` and `x : A`, then `A` is an `algebra`
over `R`.
See note [reducible non-instances]. -/
@[reducible]
def of_module' [comm_semiring R] [semiring A] [module R A]
(h₁ : ∀ (r : R) (x : A), (r • 1) * x = r • x)
(h₂ : ∀ (r : R) (x : A), x * (r • 1) = r • x) : algebra R A :=
{ to_fun := λ r, r • 1,
map_one' := one_smul _ _,
map_mul' := λ r₁ r₂, by rw [h₁, mul_smul],
map_zero' := zero_smul _ _,
map_add' := λ r₁ r₂, add_smul r₁ r₂ 1,
commutes' := λ r x, by simp only [h₁, h₂],
smul_def' := λ r x, by simp only [h₁] }
/-- Let `R` be a commutative semiring, let `A` be a semiring with a `module R` structure.
If `(r • x) * y = x * (r • y) = r • (x * y)` for all `r : R` and `x y : A`, then `A`
is an `algebra` over `R`.
See note [reducible non-instances]. -/
@[reducible]
def of_module [comm_semiring R] [semiring A] [module R A]
(h₁ : ∀ (r : R) (x y : A), (r • x) * y = r • (x * y))
(h₂ : ∀ (r : R) (x y : A), x * (r • y) = r • (x * y)) : algebra R A :=
of_module' (λ r x, by rw [h₁, one_mul]) (λ r x, by rw [h₂, mul_one])
section semiring
variables [comm_semiring R] [comm_semiring S]
variables [semiring A] [algebra R A] [semiring B] [algebra R B]
/-- We keep this lemma private because it picks up the `algebra.to_has_smul` instance
which we set to priority 0 shortly. See `smul_def` below for the public version. -/
private lemma smul_def'' (r : R) (x : A) : r • x = algebra_map R A r * x :=
algebra.smul_def' r x
/--
To prove two algebra structures on a fixed `[comm_semiring R] [semiring A]` agree,
it suffices to check the `algebra_map`s agree.
-/
-- We'll later use this to show `algebra ℤ M` is a subsingleton.
@[ext]
lemma algebra_ext {R : Type*} [comm_semiring R] {A : Type*} [semiring A] (P Q : algebra R A)
(w : ∀ (r : R), by { haveI := P, exact algebra_map R A r } =
by { haveI := Q, exact algebra_map R A r }) :
P = Q :=
begin
unfreezingI { rcases P with @⟨⟨P⟩⟩, rcases Q with @⟨⟨Q⟩⟩ },
congr,
{ funext r a,
replace w := congr_arg (λ s, s * a) (w r),
simp only [←smul_def''] at w,
apply w, },
{ ext r,
exact w r, },
{ apply proof_irrel_heq, },
{ apply proof_irrel_heq, },
end
@[priority 200] -- see Note [lower instance priority]
instance to_module : module R A :=
{ one_smul := by simp [smul_def''],
mul_smul := by simp [smul_def'', mul_assoc],
smul_add := by simp [smul_def'', mul_add],
smul_zero := by simp [smul_def''],
add_smul := by simp [smul_def'', add_mul],
zero_smul := by simp [smul_def''] }
-- From now on, we don't want to use the following instance anymore.
-- Unfortunately, leaving it in place causes deterministic timeouts later in mathlib.
attribute [instance, priority 0] algebra.to_has_smul
lemma smul_def (r : R) (x : A) : r • x = algebra_map R A r * x :=
algebra.smul_def' r x
lemma algebra_map_eq_smul_one (r : R) : algebra_map R A r = r • 1 :=
calc algebra_map R A r = algebra_map R A r * 1 : (mul_one _).symm
... = r • 1 : (algebra.smul_def r 1).symm
lemma algebra_map_eq_smul_one' : ⇑(algebra_map R A) = λ r, r • (1 : A) :=
funext algebra_map_eq_smul_one
/-- `mul_comm` for `algebra`s when one element is from the base ring. -/
theorem commutes (r : R) (x : A) : algebra_map R A r * x = x * algebra_map R A r :=
algebra.commutes' r x
/-- `mul_left_comm` for `algebra`s when one element is from the base ring. -/
theorem left_comm (x : A) (r : R) (y : A) :
x * (algebra_map R A r * y) = algebra_map R A r * (x * y) :=
by rw [← mul_assoc, ← commutes, mul_assoc]
/-- `mul_right_comm` for `algebra`s when one element is from the base ring. -/
theorem right_comm (x : A) (r : R) (y : A) :
(x * algebra_map R A r) * y = (x * y) * algebra_map R A r :=
by rw [mul_assoc, commutes, ←mul_assoc]
instance _root_.is_scalar_tower.right : is_scalar_tower R A A :=
⟨λ x y z, by rw [smul_eq_mul, smul_eq_mul, smul_def, smul_def, mul_assoc]⟩
/-- This is just a special case of the global `mul_smul_comm` lemma that requires less typeclass
search (and was here first). -/
@[simp] protected lemma mul_smul_comm (s : R) (x y : A) :
x * (s • y) = s • (x * y) :=
-- TODO: set up `is_scalar_tower.smul_comm_class` earlier so that we can actually prove this using
-- `mul_smul_comm s x y`.
by rw [smul_def, smul_def, left_comm]
/-- This is just a special case of the global `smul_mul_assoc` lemma that requires less typeclass
search (and was here first). -/
@[simp] protected lemma smul_mul_assoc (r : R) (x y : A) :
(r • x) * y = r • (x * y) :=
smul_mul_assoc r x y
@[simp]
lemma _root_.smul_algebra_map {α : Type*} [monoid α] [mul_distrib_mul_action α A]
[smul_comm_class α R A] (a : α) (r : R) : a • algebra_map R A r = algebra_map R A r :=
by rw [algebra_map_eq_smul_one, smul_comm a r (1 : A), smul_one]
section
variables {r : R} {a : A}
@[simp] lemma bit0_smul_one : bit0 r • (1 : A) = bit0 (r • (1 : A)) :=
by simp [bit0, add_smul]
lemma bit0_smul_one' : bit0 r • (1 : A) = r • 2 :=
by simp [bit0, add_smul, smul_add]
@[simp] lemma bit0_smul_bit0 : bit0 r • bit0 a = r • (bit0 (bit0 a)) :=
by simp [bit0, add_smul, smul_add]
@[simp] lemma bit0_smul_bit1 : bit0 r • bit1 a = r • (bit0 (bit1 a)) :=
by simp [bit0, add_smul, smul_add]
@[simp] lemma bit1_smul_one : bit1 r • (1 : A) = bit1 (r • (1 : A)) :=
by simp [bit1, add_smul]
lemma bit1_smul_one' : bit1 r • (1 : A) = r • 2 + 1 :=
by simp [bit1, bit0, add_smul, smul_add]
@[simp] lemma bit1_smul_bit0 : bit1 r • bit0 a = r • (bit0 (bit0 a)) + bit0 a :=
by simp [bit1, add_smul, smul_add]
@[simp] lemma bit1_smul_bit1 : bit1 r • bit1 a = r • (bit0 (bit1 a)) + bit1 a :=
by { simp only [bit0, bit1, add_smul, smul_add, one_smul], abel }
end
variables (R A)
/--
The canonical ring homomorphism `algebra_map R A : R →* A` for any `R`-algebra `A`,
packaged as an `R`-linear map.
-/
protected def linear_map : R →ₗ[R] A :=
{ map_smul' := λ x y, by simp [algebra.smul_def],
..algebra_map R A }
@[simp]
lemma linear_map_apply (r : R) : algebra.linear_map R A r = algebra_map R A r := rfl
lemma coe_linear_map : ⇑(algebra.linear_map R A) = algebra_map R A := rfl
instance id : algebra R R := (ring_hom.id R).to_algebra
variables {R A}
namespace id
@[simp] lemma map_eq_id : algebra_map R R = ring_hom.id _ := rfl
lemma map_eq_self (x : R) : algebra_map R R x = x := rfl
@[simp] lemma smul_eq_mul (x y : R) : x • y = x * y := rfl
end id
section punit
instance _root_.punit.algebra : algebra R punit :=
{ to_fun := λ x, punit.star,
map_one' := rfl,
map_mul' := λ _ _, rfl,
map_zero' := rfl,
map_add' := λ _ _, rfl,
commutes' := λ _ _, rfl,
smul_def' := λ _ _, rfl }
@[simp] lemma algebra_map_punit (r : R) : algebra_map R punit r = punit.star := rfl
end punit
section ulift
instance _root_.ulift.algebra : algebra R (ulift A) :=
{ to_fun := λ r, ulift.up (algebra_map R A r),
commutes' := λ r x, ulift.down_injective $ algebra.commutes r x.down,
smul_def' := λ r x, ulift.down_injective $ algebra.smul_def' r x.down,
.. ulift.module',
.. (ulift.ring_equiv : ulift A ≃+* A).symm.to_ring_hom.comp (algebra_map R A) }
lemma _root_.ulift.algebra_map_eq (r : R) :
algebra_map R (ulift A) r = ulift.up (algebra_map R A r) := rfl
@[simp] lemma _root_.ulift.down_algebra_map (r : R) :
(algebra_map R (ulift A) r).down = algebra_map R A r := rfl
end ulift
/-- Algebra over a subsemiring. This builds upon `subsemiring.module`. -/
instance of_subsemiring (S : subsemiring R) : algebra S A :=
{ smul := (•),
commutes' := λ r x, algebra.commutes r x,
smul_def' := λ r x, algebra.smul_def r x,
.. (algebra_map R A).comp S.subtype }
lemma algebra_map_of_subsemiring (S : subsemiring R) :
(algebra_map S R : S →+* R) = subsemiring.subtype S := rfl
lemma coe_algebra_map_of_subsemiring (S : subsemiring R) :
(algebra_map S R : S → R) = subtype.val := rfl
lemma algebra_map_of_subsemiring_apply (S : subsemiring R) (x : S) :
algebra_map S R x = x := rfl
/-- Algebra over a subring. This builds upon `subring.module`. -/
instance of_subring {R A : Type*} [comm_ring R] [ring A] [algebra R A]
(S : subring R) : algebra S A :=
{ smul := (•),
.. algebra.of_subsemiring S.to_subsemiring,
.. (algebra_map R A).comp S.subtype }
lemma algebra_map_of_subring {R : Type*} [comm_ring R] (S : subring R) :
(algebra_map S R : S →+* R) = subring.subtype S := rfl
lemma coe_algebra_map_of_subring {R : Type*} [comm_ring R] (S : subring R) :
(algebra_map S R : S → R) = subtype.val := rfl
lemma algebra_map_of_subring_apply {R : Type*} [comm_ring R] (S : subring R) (x : S) :
algebra_map S R x = x := rfl
/-- Explicit characterization of the submonoid map in the case of an algebra.
`S` is made explicit to help with type inference -/
def algebra_map_submonoid (S : Type*) [semiring S] [algebra R S]
(M : submonoid R) : submonoid S :=
M.map (algebra_map R S)
lemma mem_algebra_map_submonoid_of_mem {S : Type*} [semiring S] [algebra R S] {M : submonoid R}
(x : M) : (algebra_map R S x) ∈ algebra_map_submonoid S M :=
set.mem_image_of_mem (algebra_map R S) x.2
end semiring
section comm_semiring
variables [comm_semiring R]
lemma mul_sub_algebra_map_commutes [ring A] [algebra R A] (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 [ring A] [algebra R A] (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 comm_semiring
section ring
variables [comm_ring R]
variables (R)
/-- A `semiring` that is an `algebra` over a commutative ring carries a natural `ring` structure.
See note [reducible non-instances]. -/
@[reducible]
def semiring_to_ring [semiring A] [algebra R A] : ring A :=
{ ..module.add_comm_monoid_to_add_comm_group R,
..(infer_instance : semiring A) }
end ring
end algebra
namespace mul_opposite
variables {R A : Type*} [comm_semiring R] [semiring A] [algebra R A]
instance : algebra R Aᵐᵒᵖ :=
{ to_ring_hom := (algebra_map R A).to_opposite $ λ x y, algebra.commutes _ _,
smul_def' := λ c x, unop_injective $
by { dsimp, simp only [op_mul, algebra.smul_def, algebra.commutes, op_unop] },
commutes' := λ r, mul_opposite.rec $ λ x, by dsimp; simp only [← op_mul, algebra.commutes],
.. mul_opposite.has_smul A R }
@[simp] lemma algebra_map_apply (c : R) : algebra_map R Aᵐᵒᵖ c = op (algebra_map R A c) := rfl
end mul_opposite
namespace module
variables (R : Type u) (M : Type v) [comm_semiring R] [add_comm_monoid M] [module R M]
instance : algebra R (module.End R M) :=
algebra.of_module smul_mul_assoc (λ r f g, (smul_comm r f g).symm)
lemma algebra_map_End_eq_smul_id (a : R) :
(algebra_map R (End R M)) a = a • linear_map.id := rfl
@[simp] lemma algebra_map_End_apply (a : R) (m : M) :
(algebra_map R (End R M)) a m = a • m := rfl
@[simp] lemma ker_algebra_map_End (K : Type u) (V : Type v)
[field K] [add_comm_group V] [module K V] (a : K) (ha : a ≠ 0) :
((algebra_map K (End K V)) a).ker = ⊥ :=
linear_map.ker_smul _ _ ha
section
variables {R M}
lemma End_is_unit_apply_inv_apply_of_is_unit {f : module.End R M} (h : is_unit f) (x : M) :
f (h.unit.inv x) = x :=
show (f * h.unit.inv) x = x, by simp
lemma End_is_unit_inv_apply_apply_of_is_unit {f : module.End R M} (h : is_unit f) (x : M) :
h.unit.inv (f x) = x :=
(by simp : (h.unit.inv * f) x = x)
lemma End_is_unit_iff (f : module.End R M) :
is_unit f ↔ function.bijective f :=
⟨λ h, function.bijective_iff_has_inverse.mpr $
⟨h.unit.inv, ⟨End_is_unit_inv_apply_apply_of_is_unit h,
End_is_unit_apply_inv_apply_of_is_unit h⟩⟩,
λ H, let e : M ≃ₗ[R] M := { ..f, ..(equiv.of_bijective f H)} in
⟨⟨_, e.symm, linear_map.ext e.right_inv, linear_map.ext e.left_inv⟩, rfl⟩⟩
lemma End_algebra_map_is_unit_inv_apply_eq_iff
{x : R} (h : is_unit (algebra_map R (module.End R M) x)) (m m' : M) :
h.unit⁻¹ m = m' ↔ m = x • m' :=
{ mp := λ H, ((congr_arg h.unit H).symm.trans (End_is_unit_apply_inv_apply_of_is_unit h _)).symm,
mpr := λ H, H.symm ▸
begin
apply_fun h.unit using ((module.End_is_unit_iff _).mp h).injective,
erw [End_is_unit_apply_inv_apply_of_is_unit],
refl,
end }
lemma End_algebra_map_is_unit_inv_apply_eq_iff'
{x : R} (h : is_unit (algebra_map R (module.End R M) x)) (m m' : M) :
m' = h.unit⁻¹ m ↔ m = x • m' :=
{ mp := λ H, ((congr_arg h.unit H).trans (End_is_unit_apply_inv_apply_of_is_unit h _)).symm,
mpr := λ H, H.symm ▸
begin
apply_fun h.unit using ((module.End_is_unit_iff _).mp h).injective,
erw [End_is_unit_apply_inv_apply_of_is_unit],
refl,
end }
end
end module
namespace linear_map
variables {R : Type*} {A : Type*} {B : Type*} [comm_semiring R] [semiring A] [semiring B]
[algebra R A] [algebra R B]
/-- An alternate statement of `linear_map.map_smul` for when `algebra_map` is more convenient to
work with than `•`. -/
lemma map_algebra_map_mul (f : A →ₗ[R] B) (a : A) (r : R) :
f (algebra_map R A r * a) = algebra_map R B r * f a :=
by rw [←algebra.smul_def, ←algebra.smul_def, map_smul]
lemma map_mul_algebra_map (f : A →ₗ[R] B) (a : A) (r : R) :
f (a * algebra_map R A r) = f a * algebra_map R B r :=
by rw [←algebra.commutes, ←algebra.commutes, map_algebra_map_mul]
end linear_map
section nat
variables {R : Type*} [semiring R]
-- Lower the priority so that `algebra.id` is picked most of the time when working with
-- `ℕ`-algebras. This is only an issue since `algebra.id` and `algebra_nat` are not yet defeq.
-- TODO: fix this by adding an `of_nat` field to semirings.
/-- Semiring ⥤ ℕ-Alg -/
@[priority 99] instance algebra_nat : algebra ℕ R :=
{ commutes' := nat.cast_commute,
smul_def' := λ _ _, nsmul_eq_mul _ _,
to_ring_hom := nat.cast_ring_hom R }
instance nat_algebra_subsingleton : subsingleton (algebra ℕ R) :=
⟨λ P Q, by { ext, simp, }⟩
end nat
namespace ring_hom
variables {R S : Type*}
-- note that `R`, `S` could be `semiring`s but this is useless mathematically speaking -
-- a ℚ-algebra is a ring. furthermore, this change probably slows down elaboration.
@[simp] lemma map_rat_algebra_map [ring R] [ring S] [algebra ℚ R] [algebra ℚ S]
(f : R →+* S) (r : ℚ) : f (algebra_map ℚ R r) = algebra_map ℚ S r :=
ring_hom.ext_iff.1 (subsingleton.elim (f.comp (algebra_map ℚ R)) (algebra_map ℚ S)) r
end ring_hom
section rat
instance algebra_rat {α} [division_ring α] [char_zero α] : algebra ℚ α :=
{ smul := (•),
smul_def' := division_ring.qsmul_eq_mul',
to_ring_hom := rat.cast_hom α,
commutes' := rat.cast_commute }
/-- The two `algebra ℚ ℚ` instances should coincide. -/
example : algebra_rat = algebra.id ℚ := rfl
@[simp] theorem algebra_map_rat_rat : algebra_map ℚ ℚ = ring_hom.id ℚ :=
subsingleton.elim _ _
instance algebra_rat_subsingleton {α} [semiring α] :
subsingleton (algebra ℚ α) :=
⟨λ x y, algebra.algebra_ext x y $ ring_hom.congr_fun $ subsingleton.elim _ _⟩
end rat
section int
variables (R : Type*) [ring R]
-- Lower the priority so that `algebra.id` is picked most of the time when working with
-- `ℤ`-algebras. This is only an issue since `algebra.id ℤ` and `algebra_int ℤ` are not yet defeq.
-- TODO: fix this by adding an `of_int` field to rings.
/-- Ring ⥤ ℤ-Alg -/
@[priority 99] instance algebra_int : algebra ℤ R :=
{ commutes' := int.cast_commute,
smul_def' := λ _ _, zsmul_eq_mul _ _,
to_ring_hom := int.cast_ring_hom R }
/-- A special case of `eq_int_cast'` that happens to be true definitionally -/
@[simp] lemma algebra_map_int_eq : algebra_map ℤ R = int.cast_ring_hom R := rfl
variables {R}
instance int_algebra_subsingleton : subsingleton (algebra ℤ R) :=
⟨λ P Q, by { ext, simp, }⟩
end int
namespace no_zero_smul_divisors
variables {R A : Type*}
open algebra
/-- If `algebra_map R A` is injective and `A` has no zero divisors,
`R`-multiples in `A` are zero only if one of the factors is zero.
Cannot be an instance because there is no `injective (algebra_map R A)` typeclass.
-/
lemma of_algebra_map_injective
[comm_semiring R] [semiring A] [algebra R A] [no_zero_divisors A]
(h : function.injective (algebra_map R A)) : no_zero_smul_divisors R A :=
⟨λ c x hcx, (mul_eq_zero.mp ((smul_def c x).symm.trans hcx)).imp_left
(map_eq_zero_iff (algebra_map R A) h).mp⟩
variables (R A)
lemma algebra_map_injective [comm_ring R] [ring A] [nontrivial A]
[algebra R A] [no_zero_smul_divisors R A] :
function.injective (algebra_map R A) :=
suffices function.injective (λ (c : R), c • (1 : A)),
by { convert this, ext, rw [algebra.smul_def, mul_one] },
smul_left_injective R one_ne_zero
lemma _root_.ne_zero.of_no_zero_smul_divisors (n : ℕ) [comm_ring R] [ne_zero (n : R)] [ring A]
[nontrivial A] [algebra R A] [no_zero_smul_divisors R A] : ne_zero (n : A) :=
ne_zero.nat_of_injective $ no_zero_smul_divisors.algebra_map_injective R A
variables {R A}
lemma iff_algebra_map_injective [comm_ring R] [ring A] [is_domain A] [algebra R A] :
no_zero_smul_divisors R A ↔ function.injective (algebra_map R A) :=
⟨@@no_zero_smul_divisors.algebra_map_injective R A _ _ _ _,
no_zero_smul_divisors.of_algebra_map_injective⟩
@[priority 100] -- see note [lower instance priority]
instance char_zero.no_zero_smul_divisors_nat [semiring R] [no_zero_divisors R] [char_zero R] :
no_zero_smul_divisors ℕ R :=
no_zero_smul_divisors.of_algebra_map_injective $ (algebra_map ℕ R).injective_nat
@[priority 100] -- see note [lower instance priority]
instance char_zero.no_zero_smul_divisors_int [ring R] [no_zero_divisors R] [char_zero R] :
no_zero_smul_divisors ℤ R :=
no_zero_smul_divisors.of_algebra_map_injective $ (algebra_map ℤ R).injective_int
section field
variables [field R] [semiring A] [algebra R A]
@[priority 100] -- see note [lower instance priority]
instance algebra.no_zero_smul_divisors [nontrivial A] [no_zero_divisors A] :
no_zero_smul_divisors R A :=
no_zero_smul_divisors.of_algebra_map_injective (algebra_map R A).injective
end field
end no_zero_smul_divisors
section is_scalar_tower
variables {R : Type*} [comm_semiring R]
variables (A : Type*) [semiring A] [algebra R A]
variables {M : Type*} [add_comm_monoid M] [module A M] [module R M] [is_scalar_tower R A M]
variables {N : Type*} [add_comm_monoid N] [module A N] [module R N] [is_scalar_tower R A N]
lemma algebra_compatible_smul (r : R) (m : M) : r • m = ((algebra_map R A) r) • m :=
by rw [←(one_smul A m), ←smul_assoc, algebra.smul_def, mul_one, one_smul]
@[simp] lemma algebra_map_smul (r : R) (m : M) : ((algebra_map R A) r) • m = r • m :=
(algebra_compatible_smul A r m).symm
lemma int_cast_smul {k V : Type*} [comm_ring k] [add_comm_group V] [module k V] (r : ℤ) (x : V) :
(r : k) • x = r • x :=
algebra_map_smul k r x
lemma no_zero_smul_divisors.trans (R A M : Type*) [comm_ring R] [ring A] [is_domain A] [algebra R A]
[add_comm_group M] [module R M] [module A M] [is_scalar_tower R A M] [no_zero_smul_divisors R A]
[no_zero_smul_divisors A M] : no_zero_smul_divisors R M :=
begin
refine ⟨λ r m h, _⟩,
rw [algebra_compatible_smul A r m] at h,
cases smul_eq_zero.1 h with H H,
{ have : function.injective (algebra_map R A) :=
no_zero_smul_divisors.iff_algebra_map_injective.1 infer_instance,
left,
exact (injective_iff_map_eq_zero _).1 this _ H },
{ right,
exact H }
end
variable {A}
@[priority 100] -- see Note [lower instance priority]
instance is_scalar_tower.to_smul_comm_class : smul_comm_class R A M :=
⟨λ r a m, by rw [algebra_compatible_smul A r (a • m), smul_smul, algebra.commutes, mul_smul,
←algebra_compatible_smul]⟩
@[priority 100] -- see Note [lower instance priority]
instance is_scalar_tower.to_smul_comm_class' : smul_comm_class A R M :=
smul_comm_class.symm _ _ _
@[priority 200] -- see Note [lower instance priority]
instance algebra.to_smul_comm_class {R A} [comm_semiring R] [semiring A] [algebra R A] :
smul_comm_class R A A :=
is_scalar_tower.to_smul_comm_class
lemma smul_algebra_smul_comm (r : R) (a : A) (m : M) : a • r • m = r • a • m :=
smul_comm _ _ _
namespace linear_map
instance coe_is_scalar_tower : has_coe (M →ₗ[A] N) (M →ₗ[R] N) :=
⟨restrict_scalars R⟩
variables (R) {A M N}
@[simp, norm_cast squash] lemma coe_restrict_scalars_eq_coe (f : M →ₗ[A] N) :
(f.restrict_scalars R : M → N) = f := rfl
@[simp, norm_cast squash] lemma coe_coe_is_scalar_tower (f : M →ₗ[A] N) :
((f : M →ₗ[R] N) : M → N) = f := rfl
/-- `A`-linearly coerce a `R`-linear map from `M` to `A` to a function, given an algebra `A` over
a commutative semiring `R` and `M` a module over `R`. -/
def lto_fun (R : Type u) (M : Type v) (A : Type w)
[comm_semiring R] [add_comm_monoid M] [module R M] [comm_ring A] [algebra R A] :
(M →ₗ[R] A) →ₗ[A] (M → A) :=
{ to_fun := linear_map.to_fun,
map_add' := λ f g, rfl,
map_smul' := λ c f, rfl }
end linear_map
end is_scalar_tower
/-! TODO: The following lemmas no longer involve `algebra` at all, and could be moved closer
to `algebra/module/submodule.lean`. Currently this is tricky because `ker`, `range`, `⊤`, and `⊥`
are all defined in `linear_algebra/basic.lean`. -/
section module
open module
variables (R S M N : Type*) [semiring R] [semiring S] [has_smul R S]
variables [add_comm_monoid M] [module R M] [module S M] [is_scalar_tower R S M]
variables [add_comm_monoid N] [module R N] [module S N] [is_scalar_tower R S N]
variables {S M N}
@[simp]
lemma linear_map.ker_restrict_scalars (f : M →ₗ[S] N) :
(f.restrict_scalars R).ker = f.ker.restrict_scalars R :=
rfl
end module
example {R A} [comm_semiring R] [semiring A]
[module R A] [smul_comm_class R A A] [is_scalar_tower R A A] : algebra R A :=
algebra.of_module smul_mul_assoc mul_smul_comm
|
e560369ceee2379c6dedcbb86004d7990055636d | ebb7367fa8ab324601b5abf705720fd4cc0e8598 | /algebra/exact_couple.hlean | 78f14a51b448ac71f8a6e2006e75b0c0508ac1bf | [
"Apache-2.0"
] | permissive | radams78/Spectral | 3e34916d9bbd0939ee6a629e36744827ff27bfc2 | c8145341046cfa2b4960ef3cc5a1117d12c43f63 | refs/heads/master | 1,610,421,583,830 | 1,481,232,014,000 | 1,481,232,014,000 | null | 0 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 2,387 | hlean | /-
Copyright (c) 2016 Egbert Rijke. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Egbert Rijke
Exact couple, derived couples, and so on
-/
import algebra.group_theory hit.set_quotient types.sigma types.list types.sum .quotient_group .subgroup
open eq algebra is_trunc set_quotient relation sigma sigma.ops prod prod.ops sum list trunc function group trunc
equiv
structure is_exact {A B C : AbGroup} (f : A →g B) (g : B →g C) :=
( im_in_ker : Π(a:A), g (f a) = 1)
( ker_in_im : Π(b:B), (g b = 1) → ∃(a:A), f a = b)
definition is_differential {B : AbGroup} (d : B →g B) := Π(b:B), d (d b) = 1
definition image_subgroup_of_diff {B : AbGroup} (d : B →g B) (H : is_differential d) : subgroup_rel (ab_kernel d) :=
subgroup_rel_of_subgroup (image_subgroup d) (kernel_subgroup d)
begin
intro g p,
induction p with f, induction f with h p,
rewrite [p⁻¹],
esimp,
exact H h
end
definition homology {B : AbGroup} (d : B →g B) (H : is_differential d) : AbGroup :=
@quotient_ab_group (ab_kernel d) (image_subgroup_of_diff d H)
structure exact_couple (A B : AbGroup) : Type :=
( i : A →g A) (j : A →g B) (k : B →g A)
( exact_ij : is_exact i j)
( exact_jk : is_exact j k)
( exact_ki : is_exact k i)
definition differential {A B : AbGroup} (EC : exact_couple A B) : B →g B :=
(exact_couple.j EC) ∘g (exact_couple.k EC)
definition differential_is_differential {A B : AbGroup} (EC : exact_couple A B) : is_differential (differential EC) :=
begin
induction EC,
induction exact_jk,
intro b,
exact (ap (group_fun j) (im_in_ker (group_fun k b))) ⬝ (respect_one j)
end
section derived_couple
variables {A B : AbGroup} (EC : exact_couple A B)
definition derived_couple_A : AbGroup :=
ab_subgroup (image_subgroup (exact_couple.i EC))
definition derived_couple_B : AbGroup :=
homology (differential EC) (differential_is_differential EC)
definition derived_couple_i : derived_couple_A EC →g derived_couple_A EC :=
(image_lift (exact_couple.i EC)) ∘g (image_incl (exact_couple.i EC))
definition derived_couple_j : derived_couple_A EC →g derived_couple_B EC :=
begin
exact sorry,
-- refine (comm_gq_map (comm_kernel (boundary CC)) (image_subgroup_of_bd (boundary CC) (boundary_is_boundary CC))) ∘g _,
end
end derived_couple
|
798a1a5e55634a1f8f24a443c3e1dc68b9f99277 | 367134ba5a65885e863bdc4507601606690974c1 | /src/group_theory/group_action/sub_mul_action.lean | 9917c8ef7e582de6f7f8a55e7a41b1df0034600d | [
"Apache-2.0"
] | permissive | kodyvajjha/mathlib | 9bead00e90f68269a313f45f5561766cfd8d5cad | b98af5dd79e13a38d84438b850a2e8858ec21284 | refs/heads/master | 1,624,350,366,310 | 1,615,563,062,000 | 1,615,563,062,000 | 162,666,963 | 0 | 0 | Apache-2.0 | 1,545,367,651,000 | 1,545,367,651,000 | null | UTF-8 | Lean | false | false | 5,217 | lean | /-
Copyright (c) 2020 Eric Wieser. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Eric Wieser
-/
import group_theory.group_action.basic
import algebra.group_action_hom
import algebra.module.basic
/-!
# Sets invariant to a `mul_action`
In this file we define `sub_mul_action R M`; a subset of a `mul_action M` which is closed with
respect to scalar multiplication.
For most uses, typically `submodule R M` is more powerful.
## Tags
submodule, mul_action
-/
open function
universes u v
variables {R : Type u} {M : Type v}
set_option old_structure_cmd true
/-- A sub_mul_action is a set which is closed under scalar multiplication. -/
structure sub_mul_action (R : Type u) (M : Type v) [has_scalar R M] : Type v :=
(carrier : set M)
(smul_mem' : ∀ (c : R) {x : M}, x ∈ carrier → c • x ∈ carrier)
namespace sub_mul_action
variables [has_scalar R M]
instance : has_coe_t (sub_mul_action R M) (set M) := ⟨λ s, s.carrier⟩
instance : has_mem M (sub_mul_action R M) := ⟨λ x p, x ∈ (p : set M)⟩
instance : has_coe_to_sort (sub_mul_action R M) := ⟨_, λ p, {x : M // x ∈ p}⟩
instance : has_top (sub_mul_action R M) :=
⟨{ carrier := set.univ, smul_mem' := λ _ _ _, set.mem_univ _ }⟩
instance : has_bot (sub_mul_action R M) :=
⟨{ carrier := ∅, smul_mem' := λ c, set.not_mem_empty}⟩
instance : inhabited (sub_mul_action R M) := ⟨⊥⟩
variables (p q : sub_mul_action R M)
@[simp, norm_cast] theorem coe_sort_coe : ↥(p : set M) = p := rfl
variables {p q}
protected theorem «exists» {q : p → Prop} : (∃ x, q x) ↔ (∃ x ∈ p, q ⟨x, ‹_›⟩) := set_coe.exists
protected theorem «forall» {q : p → Prop} : (∀ x, q x) ↔ (∀ x ∈ p, q ⟨x, ‹_›⟩) := set_coe.forall
theorem coe_injective : injective (coe : sub_mul_action R M → set M) :=
λ p q h, by cases p; cases q; congr'
@[simp, norm_cast] theorem coe_set_eq : (p : set M) = q ↔ p = q := coe_injective.eq_iff
theorem ext'_iff : p = q ↔ (p : set M) = q := coe_set_eq.symm
@[ext] theorem ext (h : ∀ x, x ∈ p ↔ x ∈ q) : p = q := coe_injective $ set.ext h
end sub_mul_action
namespace sub_mul_action
section has_scalar
variables [has_scalar R M]
variables (p : sub_mul_action R M)
variables {r : R} {x : M}
@[simp] theorem mem_coe : x ∈ (p : set M) ↔ x ∈ p := iff.rfl
lemma smul_mem (r : R) (h : x ∈ p) : r • x ∈ p := p.smul_mem' r h
instance : has_scalar R p :=
{ smul := λ c x, ⟨c • x.1, smul_mem _ c x.2⟩ }
variables {p}
@[simp, norm_cast] lemma coe_eq_coe {x y : p} : (x : M) = y ↔ x = y := subtype.ext_iff_val.symm
@[simp, norm_cast] lemma coe_smul (r : R) (x : p) : ((r • x : p) : M) = r • ↑x := rfl
@[simp, norm_cast] lemma coe_mk (x : M) (hx : x ∈ p) : ((⟨x, hx⟩ : p) : M) = x := rfl
@[simp] lemma coe_mem (x : p) : (x : M) ∈ p := x.2
variables {p}
@[simp] protected lemma eta (x : p) (hx : (x : M) ∈ p) : (⟨x, hx⟩ : p) = x := subtype.eta x hx
variables (p)
/-- Embedding of a submodule `p` to the ambient space `M`. -/
protected def subtype : p →[R] M :=
by refine {to_fun := coe, ..}; simp [coe_smul]
@[simp] theorem subtype_apply (x : p) : p.subtype x = x := rfl
lemma subtype_eq_val : ((sub_mul_action.subtype p) : p → M) = subtype.val := rfl
end has_scalar
section mul_action
variables [monoid R]
variables [mul_action R M]
variables (p : sub_mul_action R M)
variables {r : R} {x : M}
@[simp] lemma smul_mem_iff' (u : units R) : (u : R) • x ∈ p ↔ x ∈ p :=
⟨λ h, by simpa only [smul_smul, u.inv_mul, one_smul] using p.smul_mem ↑u⁻¹ h, p.smul_mem u⟩
/-- If the scalar product forms a `mul_action`, then the subset inherits this action -/
instance : mul_action R p :=
{ smul := (•),
one_smul := λ x, subtype.ext $ one_smul _ x,
mul_smul := λ c₁ c₂ x, subtype.ext $ mul_smul c₁ c₂ x }
end mul_action
section semimodule
variables [semiring R] [add_comm_monoid M]
variables [semimodule R M]
variables (p : sub_mul_action R M)
lemma zero_mem (h : (p : set M).nonempty) : (0 : M) ∈ p :=
let ⟨x, hx⟩ := h in zero_smul R (x : M) ▸ p.smul_mem 0 hx
/-- If the scalar product forms a `semimodule`, and the `sub_mul_action` is not `⊥`, then the
subset inherits the zero. -/
instance [n_empty : nonempty p] : has_zero p :=
{ zero := ⟨0, n_empty.elim $ λ x, p.zero_mem ⟨x, x.prop⟩⟩ }
end semimodule
section add_comm_group
variables [ring R] [add_comm_group M]
variables [semimodule R M]
variables (p p' : sub_mul_action R M)
variables {r : R} {x y : M}
lemma neg_mem (hx : x ∈ p) : -x ∈ p := by { rw ← neg_one_smul R, exact p.smul_mem _ hx }
@[simp] lemma neg_mem_iff : -x ∈ p ↔ x ∈ p :=
⟨λ h, by { rw ←neg_neg x, exact neg_mem _ h}, neg_mem _⟩
instance : has_neg p := ⟨λx, ⟨-x.1, neg_mem _ x.2⟩⟩
@[simp, norm_cast] lemma coe_neg (x : p) : ((-x : p) : M) = -x := rfl
end add_comm_group
end sub_mul_action
namespace sub_mul_action
variables [division_ring R] [add_comm_group M] [module R M]
variables (p : sub_mul_action R M) {r : R} {x y : M}
theorem smul_mem_iff (r0 : r ≠ 0) : r • x ∈ p ↔ x ∈ p :=
p.smul_mem_iff' (units.mk0 r r0)
end sub_mul_action
|
2d28b20da9400af7d2ce0290242f5644af66e7ed | 30b012bb72d640ec30c8fdd4c45fdfa67beb012c | /analysis/topology/quotient_topological_structures.lean | 8dc6110435ca9bcafe6d0f55911b9202de49bb07 | [
"Apache-2.0"
] | permissive | kckennylau/mathlib | 21fb810b701b10d6606d9002a4004f7672262e83 | 47b3477e20ffb5a06588dd3abb01fe0fe3205646 | refs/heads/master | 1,634,976,409,281 | 1,542,042,832,000 | 1,542,319,733,000 | 109,560,458 | 0 | 0 | Apache-2.0 | 1,542,369,208,000 | 1,509,867,494,000 | Lean | UTF-8 | Lean | false | false | 8,275 | lean | /-
Copyright (c) 2018 Patrick Massot. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Patrick Massot, Johannes Hölzl
Topological structures on quotient rings and groups.
-/
import analysis.topology.completion
import group_theory.quotient_group
@[simp] lemma {u} eq_mpr_heq {α β : Sort u} (h : β = α) (x : α) : eq.mpr h x == x :=
by subst h; refl
open function set
variables {α : Type*} {β : Type*} {γ : Type*} {δ : Type*}
-- variables [topological_space β] [topological_space γ] [topological_space δ]
namespace quot
protected def map {α} (r r' : α → α → Prop) (h : ∀a b, r a b → r' a b) (a : quot r) : quot r' :=
quot.hrec_on a (quot.mk r') $ assume a b hab, by rw [quot.sound (h a b hab)]
/-- Quotients are congruent on equivalences under equality of their relation.
An alternative is just to use rewriting with `eq`, but then computational proofs get stuck. -/
protected def congr {α} {r r' : α → α → Prop} (eq : ∀a b, r a b ↔ r' a b) : quot r ≃ quot r' :=
⟨quot.map r r' (assume a b, (eq a b).1), quot.map r' r (assume a b, (eq a b).2),
by rintros ⟨a⟩; refl, by rintros ⟨a⟩; refl⟩
end quot
namespace quotient
protected def congr {α} {r r' : setoid α} (eq : ∀a b, @setoid.r α r a b ↔ @setoid.r α r' a b) :
quotient r ≃ quotient r' :=
quot.congr eq
end quotient
/-
namespace comm_ring
open equiv
protected def map {α β} (e : α ≃ β) (r : comm_ring α) : comm_ring β :=
{ zero := e r.zero,
one := e r.one,
neg := arrow_congr e e r.neg,
add := arrow_congr e (arrow_congr e e) r.add,
mul := arrow_congr e (arrow_congr e e) r.mul }
def comm_ring_congr {α β} (e : α ≃ β) : comm_ring α ≃ comm_ring β :=
{}
end comm_ring
-/
section topological_group
variables [topological_space α] [group α] [topological_group α] (N : set α) [normal_subgroup N]
@[to_additive quotient_add_group.quotient.topological_space]
instance : topological_space (quotient_group.quotient N) :=
by dunfold quotient_group.quotient; apply_instance
attribute [instance] quotient_add_group.quotient.topological_space
open quotient_group
@[to_additive quotient_add_group_saturate]
lemma quotient_group_saturate (s : set α) :
(coe : α → quotient N) ⁻¹' ((coe : α → quotient N) '' s) = (⋃ x : N, (λ y, y*x.1) '' s) :=
begin
ext x,
simp only [mem_preimage_eq, mem_image, mem_Union, quotient_group.eq],
split,
{ exact assume ⟨a, a_in, h⟩, ⟨⟨_, h⟩, a, a_in, mul_inv_cancel_left _ _⟩ },
{ exact assume ⟨⟨i, hi⟩, a, ha, eq⟩,
⟨a, ha, by simp only [eq.symm, (mul_assoc _ _ _).symm, inv_mul_cancel_left, hi]⟩ }
end
@[to_additive quotient_add_group.open_coe]
lemma quotient_group.open_coe : is_open_map (coe : α → quotient N) :=
begin
intros s s_op,
change is_open ((coe : α → quotient N) ⁻¹' (coe '' s)),
rw quotient_group_saturate N s,
apply is_open_Union,
rintro ⟨n, _⟩,
exact is_open_map_mul_right n s s_op
end
@[to_additive topological_add_group_quotient]
instance topological_group_quotient : topological_group (quotient N) :=
{ continuous_mul := begin
have cont : continuous ((coe : α → quotient N) ∘ (λ (p : α × α), p.fst * p.snd)) :=
continuous.comp continuous_mul' continuous_quot_mk,
have quot : quotient_map (λ p : α × α, ((p.1:quotient N), (p.2:quotient N))),
{ apply is_open_map.to_quotient_map,
{ exact is_open_map.prod (quotient_group.open_coe N) (quotient_group.open_coe N) },
{ apply continuous.prod_mk,
{ exact continuous.comp continuous_fst continuous_quot_mk },
{ exact continuous.comp continuous_snd continuous_quot_mk } },
{ rintro ⟨⟨x⟩, ⟨y⟩⟩,
exact ⟨(x, y), rfl⟩ } },
exact (quotient_map.continuous_iff quot).2 cont,
end,
continuous_inv := begin
apply continuous_quotient_lift,
change continuous ((coe : α → quotient N) ∘ (λ (a : α), a⁻¹)),
exact continuous.comp continuous_inv' continuous_quot_mk
end }
attribute [instance] topological_add_group_quotient
end topological_group
section ideal_is_add_subgroup
variables [comm_ring α] {M : Type*} [add_comm_group M] [module α M] (N : submodule α M)
instance submodule_is_add_subgroup : is_add_subgroup ↑N :=
{ zero_mem := N.zero,
add_mem := N.add,
neg_mem := λ _, N.neg_mem }
end ideal_is_add_subgroup
@[to_additive normal_add_subgroup_of_comm]
instance normal_subgroup_of_comm [comm_group α] (s : set α) [hs : is_subgroup s] :
normal_subgroup s :=
{ normal := assume a hn b, by rwa [mul_comm b, mul_inv_cancel_right] }
attribute [instance] normal_add_subgroup_of_comm
section topological_ring
variables [topological_space α] [comm_ring α] [topological_ring α] (N : ideal α)
open ideal.quotient
instance topological_ring_quotient_topology : topological_space N.quotient :=
by dunfold ideal.quotient submodule.quotient; apply_instance
-- this should be quotient_add_saturate ...
lemma quotient_ring_saturate (s : set α) :
mk N ⁻¹' (mk N '' s) = (⋃ x : N, (λ y, x.1 + y) '' s) :=
begin
ext x,
simp only [mem_preimage_eq, mem_image, mem_Union, ideal.quotient.eq],
split,
{ exact assume ⟨a, a_in, h⟩, ⟨⟨_, N.neg_mem h⟩, a, a_in, by simp⟩ },
{ exact assume ⟨⟨i, hi⟩, a, ha, eq⟩, ⟨a, ha,
by rw [← eq, sub_add_eq_sub_sub_swap, sub_self, zero_sub];
exact N.neg_mem hi⟩ }
end
lemma quotient_ring.is_open_map_coe : is_open_map (mk N) :=
begin
assume s s_op,
show is_open (mk N ⁻¹' (mk N '' s)),
rw quotient_ring_saturate N s,
exact is_open_Union (assume ⟨n, _⟩, is_open_map_add_left n s s_op)
end
lemma quotient_ring.quotient_map_coe_coe : quotient_map (λ p : α × α, (mk N p.1, mk N p.2)) :=
begin
apply is_open_map.to_quotient_map,
{ exact is_open_map.prod (quotient_ring.is_open_map_coe N) (quotient_ring.is_open_map_coe N) },
{ apply continuous.prod_mk,
{ exact continuous.comp continuous_fst continuous_quot_mk },
{ exact continuous.comp continuous_snd continuous_quot_mk } },
{ rintro ⟨⟨x⟩, ⟨y⟩⟩,
exact ⟨(x, y), rfl⟩ }
end
instance topological_ring_quotient : topological_ring N.quotient :=
{ continuous_add :=
have cont : continuous (mk N ∘ (λ (p : α × α), p.fst + p.snd)) :=
continuous.comp continuous_add' continuous_quot_mk,
(quotient_map.continuous_iff (quotient_ring.quotient_map_coe_coe N)).2 cont,
continuous_neg := continuous_quotient_lift _ (continuous.comp continuous_neg' continuous_quot_mk),
continuous_mul :=
have cont : continuous (mk N ∘ (λ (p : α × α), p.fst * p.snd)) :=
continuous.comp continuous_mul' continuous_quot_mk,
(quotient_map.continuous_iff (quotient_ring.quotient_map_coe_coe N)).2 cont }
end topological_ring
namespace uniform_space
lemma ring_sep_rel (α) [comm_ring α] [uniform_space α] [uniform_add_group α] [topological_ring α] :
separation_setoid α = submodule.quotient_rel (ideal.closure ⊥) :=
setoid.ext $ assume x y, group_separation_rel x y
lemma ring_sep_quot (α) [r : comm_ring α] [uniform_space α] [uniform_add_group α] [topological_ring α] :
quotient (separation_setoid α) = (⊥ : ideal α).closure.quotient :=
by rw [@ring_sep_rel α r]; refl
def sep_quot_equiv_ring_quot (α)
[r : comm_ring α] [uniform_space α] [uniform_add_group α] [topological_ring α] :
quotient (separation_setoid α) ≃ (⊥ : ideal α).closure.quotient :=
quotient.congr $ assume x y, group_separation_rel x y
/- TODO: use a form of transport a.k.a. lift definition a.k.a. transfer -/
instance [comm_ring α] [uniform_space α] [uniform_add_group α] [topological_ring α] :
comm_ring (quotient (separation_setoid α)) :=
by rw ring_sep_quot α; apply_instance
instance [comm_ring α] [uniform_space α] [uniform_add_group α] [topological_ring α] :
topological_ring (quotient (separation_setoid α)) :=
begin
convert topological_ring_quotient (⊥ : ideal α).closure,
{ apply ring_sep_rel },
{ dsimp [topological_ring_quotient_topology, quotient.topological_space, to_topological_space],
congr,
apply ring_sep_rel,
apply ring_sep_rel },
{ apply ring_sep_rel },
{ simp [uniform_space.comm_ring] },
end
end uniform_space
|
11b9bc204adc8ab768e4d8db2561a69a6b71f0f2 | 302c785c90d40ad3d6be43d33bc6a558354cc2cf | /archive/100-theorems-list/70_perfect_numbers.lean | 08a6358ad2169f46cf117d0b9a09ae67fcab49b8 | [
"Apache-2.0"
] | permissive | ilitzroth/mathlib | ea647e67f1fdfd19a0f7bdc5504e8acec6180011 | 5254ef14e3465f6504306132fe3ba9cec9ffff16 | refs/heads/master | 1,680,086,661,182 | 1,617,715,647,000 | 1,617,715,647,000 | null | 0 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 4,927 | lean | /-
Copyright (c) 2020 Aaron Anderson. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Aaron Anderson
-/
import number_theory.arithmetic_function
import number_theory.lucas_lehmer
import algebra.geom_sum
import ring_theory.multiplicity
/-!
# Perfect Numbers
This file proves Theorem 70 from the [100 Theorems List](https://www.cs.ru.nl/~freek/100/).
The theorem characterizes even perfect numbers.
Euclid proved that if `2 ^ (k + 1) - 1` is prime (these primes are known as Mersenne primes),
then `2 ^ k * 2 ^ (k + 1) - 1` is perfect.
Euler proved the converse, that if `n` is even and perfect, then there exists `k` such that
`n = 2 ^ k * 2 ^ (k + 1) - 1` and `2 ^ (k + 1) - 1` is prime.
## References
https://en.wikipedia.org/wiki/Euclid%E2%80%93Euler_theorem
-/
lemma odd_mersenne_succ (k : ℕ) : ¬ 2 ∣ mersenne (k + 1) :=
by simp [← even_iff_two_dvd, ← nat.even_succ, nat.succ_eq_add_one] with parity_simps
namespace nat
open arithmetic_function finset
open_locale arithmetic_function
lemma sigma_two_pow_eq_mersenne_succ (k : ℕ) : σ 1 (2 ^ k) = mersenne (k + 1) :=
by simpa [mersenne, prime_two, ← geom_sum_mul_add 1 (k+1)]
/-- Euclid's theorem that Mersenne primes induce perfect numbers -/
theorem perfect_two_pow_mul_mersenne_of_prime (k : ℕ) (pr : (mersenne (k + 1)).prime) :
perfect ((2 ^ k) * mersenne (k + 1)) :=
begin
rw [perfect_iff_sum_divisors_eq_two_mul, ← mul_assoc, ← pow_succ, ← sigma_one_apply, mul_comm,
is_multiplicative_sigma.map_mul_of_coprime
(nat.prime_two.coprime_pow_of_not_dvd (odd_mersenne_succ _)),
sigma_two_pow_eq_mersenne_succ],
{ simp [pr, nat.prime_two] },
{ apply mul_pos (pow_pos _ k) (mersenne_pos (nat.succ_pos k)),
norm_num }
end
lemma ne_zero_of_prime_mersenne (k : ℕ) (pr : (mersenne (k + 1)).prime) :
k ≠ 0 :=
begin
rintro rfl,
simpa [mersenne, not_prime_one] using pr,
end
theorem even_two_pow_mul_mersenne_of_prime (k : ℕ) (pr : (mersenne (k + 1)).prime) :
even ((2 ^ k) * mersenne (k + 1)) :=
by simp [ne_zero_of_prime_mersenne k pr] with parity_simps
lemma eq_pow_two_mul_odd {n : ℕ} (hpos : 0 < n) :
∃ (k m : ℕ), n = 2 ^ k * m ∧ ¬ even m :=
begin
have h := (multiplicity.finite_nat_iff.2 ⟨nat.prime_two.ne_one, hpos⟩),
cases multiplicity.pow_multiplicity_dvd h with m hm,
use [(multiplicity 2 n).get h, m],
refine ⟨hm, _⟩,
rw even_iff_two_dvd,
have hg := multiplicity.is_greatest' h (nat.lt_succ_self _),
contrapose! hg,
rcases hg with ⟨k, rfl⟩,
apply dvd.intro k,
rw [pow_succ', mul_assoc, ← hm],
end
/-- Euler's theorem that even perfect numbers can be factored as a
power of two times a Mersenne prime. -/
theorem eq_two_pow_mul_prime_mersenne_of_even_perfect {n : ℕ} (ev : even n) (perf : perfect n) :
∃ (k : ℕ), prime (mersenne (k + 1)) ∧ n = 2 ^ k * mersenne (k + 1) :=
begin
have hpos := perf.2,
rcases eq_pow_two_mul_odd hpos with ⟨k, m, rfl, hm⟩,
use k,
rw [perfect_iff_sum_divisors_eq_two_mul hpos, ← sigma_one_apply,
is_multiplicative_sigma.map_mul_of_coprime (nat.prime_two.coprime_pow_of_not_dvd hm).symm,
sigma_two_pow_eq_mersenne_succ, ← mul_assoc, ← pow_succ] at perf,
rcases nat.coprime.dvd_of_dvd_mul_left
(nat.prime_two.coprime_pow_of_not_dvd (odd_mersenne_succ _)) (dvd.intro _ perf) with ⟨j, rfl⟩,
rw [← mul_assoc, mul_comm _ (mersenne _), mul_assoc] at perf,
have h := mul_left_cancel' (ne_of_gt (mersenne_pos (nat.succ_pos _))) perf,
rw [sigma_one_apply, sum_divisors_eq_sum_proper_divisors_add_self, ← succ_mersenne, add_mul,
one_mul, add_comm] at h,
have hj := add_left_cancel h,
cases sum_proper_divisors_dvd (by { rw hj, apply dvd.intro_left (mersenne (k + 1)) rfl }),
{ have j1 : j = 1 := eq.trans hj.symm h_1,
rw [j1, mul_one, sum_proper_divisors_eq_one_iff_prime] at h_1,
simp [h_1, j1] },
{ have jcon := eq.trans hj.symm h_1,
rw [← one_mul j, ← mul_assoc, mul_one] at jcon,
have jcon2 := mul_right_cancel' _ jcon,
{ exfalso,
cases k,
{ apply hm,
rw [← jcon2, pow_zero, one_mul, one_mul] at ev,
rw [← jcon2, one_mul],
exact ev },
apply ne_of_lt _ jcon2,
rw [mersenne, ← nat.pred_eq_sub_one, lt_pred_iff, ← pow_one (nat.succ 1)],
apply pow_lt_pow (nat.lt_succ_self 1) (nat.succ_lt_succ (nat.succ_pos k)) },
contrapose! hm,
simp [hm] }
end
/-- The Euclid-Euler theorem characterizing even perfect numbers -/
theorem even_and_perfect_iff {n : ℕ} :
(even n ∧ perfect n) ↔ ∃ (k : ℕ), prime (mersenne (k + 1)) ∧ n = 2 ^ k * mersenne (k + 1) :=
begin
split,
{ rintro ⟨ev, perf⟩,
exact eq_two_pow_mul_prime_mersenne_of_even_perfect ev perf },
{ rintro ⟨k, pr, rfl⟩,
exact ⟨even_two_pow_mul_mersenne_of_prime k pr, perfect_two_pow_mul_mersenne_of_prime k pr⟩ }
end
end nat
|
3bffc7a4046b15b97f04836b83dd18ba932a93fe | 947b78d97130d56365ae2ec264df196ce769371a | /tests/lean/attrCmd.lean | ad7f4d7bcd2527c99dc8039ed1cdd9f24898f0bf | [
"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 | 147 | lean | new_frontend
def M := StateM Nat
def f1 : M Nat :=
pure 0 -- failed to synthesize `HasPure M`
attribute [reducible] M
def f2 : M Nat :=
pure 0
|
34279a4d3212532eaa42e2dee29ff54b26836b04 | 8b9f17008684d796c8022dab552e42f0cb6fb347 | /library/algebra/category/default.lean | e5656b3edd436fe2e7d75420fc38a4eb6a62acdc | [
"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 | 224 | lean | /-
Copyright (c) 2014 Floris van Doorn. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Module: algebra.category.default
Author: Floris van Doorn
-/
import .morphism .constructions
|
b42544207bc7fb9667d11cbf7a1d04c33afd21d5 | 5ae26df177f810c5006841e9c73dc56e01b978d7 | /src/category_theory/discrete_category.lean | ddf632795a7ce8c22caadb0c70466ed7485ff543 | [
"Apache-2.0"
] | permissive | ChrisHughes24/mathlib | 98322577c460bc6b1fe5c21f42ce33ad1c3e5558 | a2a867e827c2a6702beb9efc2b9282bd801d5f9a | refs/heads/master | 1,583,848,251,477 | 1,565,164,247,000 | 1,565,164,247,000 | 129,409,993 | 0 | 1 | Apache-2.0 | 1,565,164,817,000 | 1,523,628,059,000 | Lean | UTF-8 | Lean | false | false | 2,419 | 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, Floris van Doorn
-/
import data.ulift
import category_theory.opposites category_theory.equivalence
namespace category_theory
universes v₁ v₂ u₁ u₂ -- declare the `v`'s first; see `category_theory.category` for an explanation
-- We only work in `Type`, rather than `Sort`, as we need to use `ulift`.
def discrete (α : Type u₁) := α
instance discrete_category (α : Type u₁) : small_category (discrete α) :=
{ hom := λ X Y, ulift (plift (X = Y)),
id := λ X, ulift.up (plift.up rfl),
comp := λ X Y Z g f, by { rcases f with ⟨⟨rfl⟩⟩, exact g } }
namespace discrete
variables {α : Type u₁}
@[simp] lemma id_def (X : discrete α) : ulift.up (plift.up (eq.refl X)) = 𝟙 X := rfl
end discrete
variables {C : Type u₂} [𝒞 : category.{v₂} C]
include 𝒞
namespace functor
@[simp] def of_function {I : Type u₁} (F : I → C) : (discrete I) ⥤ C :=
{ obj := F,
map := λ X Y f, begin cases f, cases f, cases f, exact 𝟙 (F X) end }
end functor
namespace nat_trans
@[simp] def of_homs {I : Type u₁} {F G : discrete I ⥤ C}
(f : Π i : discrete I, F.obj i ⟶ G.obj i) : F ⟶ G :=
{ app := f }
@[simp] def of_function {I : Type u₁} {F G : I → C} (f : Π i : I, F i ⟶ G i) :
(functor.of_function F) ⟶ (functor.of_function G) :=
of_homs f
end nat_trans
namespace nat_iso
@[simp] def of_isos {I : Type u₁} {F G : discrete I ⥤ C}
(f : Π i : discrete I, F.obj i ≅ G.obj i) : F ≅ G :=
of_components f (by tidy)
end nat_iso
namespace discrete
variables {J : Type v₁}
omit 𝒞
def lift {α : Type u₁} {β : Type u₂} (f : α → β) : (discrete α) ⥤ (discrete β) :=
functor.of_function f
open opposite
protected def opposite (α : Type u₁) : (discrete α)ᵒᵖ ≌ discrete α :=
let F : discrete α ⥤ (discrete α)ᵒᵖ := functor.of_function (λ x, op x) in
begin
refine equivalence.mk (functor.left_op F) F _ (nat_iso.of_isos $ λ X, by simp [F]),
refine nat_iso.of_components (λ X, by simp [F]) _,
tidy
end
include 𝒞
@[simp] lemma functor_map_id
(F : discrete J ⥤ C) {j : discrete J} (f : j ⟶ j) : F.map f = 𝟙 (F.obj j) :=
begin
have h : f = 𝟙 j, cases f, cases f, ext,
rw h,
simp,
end
end discrete
end category_theory
|
6aa89c294fc30b6175d2f669fe5fe9b4f141ec60 | 65b579fba1b0b66add04cccd4529add645eff597 | /test2.lean | 01a5594ed545248dc058b5b0a319e307e5819bb7 | [] | no_license | teodorov/sf_lean | ba637ca8ecc538aece4d02c8442d03ef713485db | cd4832d6bee9c606014c977951f6aebc4c8d611b | refs/heads/master | 1,632,890,232,054 | 1,543,005,745,000 | 1,543,005,745,000 | 108,566,115 | 1 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 971 | lean | inductive Any {A : Type} (P : A → Prop) : list A → Type
| zero : ∀ {x xs}, P x → Any (x::xs)
| succ : ∀ {x xs}, Any xs → Any (x::xs).
def IN' {A : Type} (x : A) (xs : list A) : Type := Any (λ y, eq x y) xs
--instance {A : Type} (x : A) (xs : list A): has_zero (IN' x (x::xs) ) := ⟨ Any.zero (eq.refl _) ⟩
inductive EType
| enat
| ebool
open EType
def Ctx := list EType
def Γ : Ctx := enat :: ebool :: [].
--instance : has_zero (IN' enat Γ) := ⟨ Any.zero (eq.refl _) ⟩
def in0 : IN' enat Γ := Any.zero (eq.refl _)
def in0' : IN' enat Γ := 0
def in1 : IN' ebool Γ := Any.succ (Any.zero (eq.refl _))
def in1' : IN' ebool Γ := 2
inductive All {A : Type} (P : A → Type) : list A → Type
| empty : All []
| cons : ∀ {x xs}, P x → All xs → All (x::xs)
open All
def Value : EType → Type
| enat := nat
| ebool := bool
def Env : Ctx → Type := λ Γ, All Value Γ
def ex_env : Env Γ := (cons (5:ℕ) (cons ff (empty Value))). |
468c0a61ae35197d78f2aa90f8be4c42ee97b23c | 7cef822f3b952965621309e88eadf618da0c8ae9 | /src/analysis/normed_space/finite_dimension.lean | 0d04cfe2ebc6ba11aa5f918c8e86b561af725d7b | [
"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 | 12,360 | lean | /-
Copyright (c) 2019 Sébastien Gouëzel. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Sébastien Gouëzel
-/
import analysis.normed_space.operator_norm linear_algebra.finite_dimensional tactic.omega
/-!
# Finite dimensional normed spaces over complete fields
Over a complete nondiscrete field, in finite dimension, all norms are equivalent and all linear maps
are continuous. Moreover, a finite-dimensional subspace is always complete and closed.
## Main results:
* `linear_map.continuous_of_finite_dimensional` : a linear map on a finite-dimensional space over a
complete field is continuous.
* `finite_dimensional.complete` : a finite-dimensional space over a complete field is complete. This
is not registered as an instance, as the field would be an unknown metavariable in typeclass
resolution.
* `submodule.closed_of_finite_dimensional` : a finite-dimensional subspace over a complete field is
closed
* `finite_dimensional.proper` : a finite-dimensional space over a proper field is proper. This
is not registered as an instance, as the field would be an unknown metavariable in typeclass
resolution. It is however registered as an instance for `𝕜 = ℝ` and `𝕜 = ℂ`. As properness
implies completeness, there is no need to also register `finite_dimensional.complete` on `ℝ` or
`ℂ`.
## Implementation notes
The fact that all norms are equivalent is not written explicitly, as it would mean having two norms
on a single space, which is not the way type classes work. However, if one has a
finite-dimensional vector space `E` with a norm, and a copy `E'` of this type with another norm,
then the identities from `E` to `E'` and from `E'`to `E` are continuous thanks to
`linear_map.continuous_of_finite_dimensional`. This gives the desired norm equivalence.
-/
universes u v w
open set finite_dimensional
open_locale classical
-- To get a reasonable compile time for `continuous_equiv_fun_basis`, typeclass inference needs
-- to be guided.
local attribute [instance, priority 10000] pi.module normed_space.to_module
submodule.add_comm_group submodule.module
linear_map.finite_dimensional_range Pi.complete nondiscrete_normed_field.to_normed_field
set_option class.instance_max_depth 100
/-- A linear map on `ι → 𝕜` (where `ι` is a fintype) is continuous -/
lemma linear_map.continuous_on_pi {ι : Type w} [fintype ι] {𝕜 : Type u} [normed_field 𝕜]
{E : Type v} [normed_group E] [normed_space 𝕜 E] (f : (ι → 𝕜) →ₗ[𝕜] E) : continuous f :=
begin
-- for the proof, write `f` in the standard basis, and use that each coordinate is a continuous
-- function.
have : (f : (ι → 𝕜) → E) =
(λx, finset.sum finset.univ (λi:ι, x i • (f (λj, if i = j then 1 else 0)))),
by { ext x, exact f.pi_apply_eq_sum_univ x },
rw this,
refine continuous_finset_sum _ (λi hi, _),
exact (continuous_apply i).smul continuous_const
end
section complete_field
variables {𝕜 : Type u} [nondiscrete_normed_field 𝕜]
{E : Type v} [normed_group E] [normed_space 𝕜 E]
{F : Type w} [normed_group F] [normed_space 𝕜 F]
[complete_space 𝕜]
set_option class.instance_max_depth 150
/-- In finite dimension over a complete field, the canonical identification (in terms of a basis)
with `𝕜^n` together with its sup norm is continuous. This is the nontrivial part in the fact that
all norms are equivalent in finite dimension.
Do not use this statement as its formulation is awkward (in terms of the dimension `n`, as the proof
is done by induction over `n`) and it is superceded by the fact that every linear map on a
finite-dimensional space is continuous, in `linear_map.continuous_of_finite_dimensional`. -/
lemma continuous_equiv_fun_basis {n : ℕ} {ι : Type v} [fintype ι] (ξ : ι → E)
(hn : fintype.card ι = n) (hξ : is_basis 𝕜 ξ) : continuous (equiv_fun_basis hξ) :=
begin
unfreezeI,
induction n with n IH generalizing ι E,
{ apply linear_map.continuous_of_bound _ 0 (λx, _),
have : equiv_fun_basis hξ x = 0,
by { ext i, exact (fintype.card_eq_zero_iff.1 hn i).elim },
change ∥equiv_fun_basis hξ x∥ ≤ 0 * ∥x∥,
rw this,
simp [norm_nonneg] },
{ haveI : finite_dimensional 𝕜 E := of_finite_basis hξ,
-- first step: thanks to the inductive assumption, any n-dimensional subspace is equivalent
-- to a standard space of dimension n, hence it is complete and therefore closed.
have H₁ : ∀s : submodule 𝕜 E, findim 𝕜 s = n → is_closed (s : set E),
{ assume s s_dim,
rcases exists_is_basis_finite 𝕜 s with ⟨b, b_basis, b_finite⟩,
letI : fintype b := finite.fintype b_finite,
have U : uniform_embedding (equiv_fun_basis b_basis).symm,
{ have : fintype.card b = n,
by { rw ← s_dim, exact (findim_eq_card_basis b_basis).symm },
have : continuous (equiv_fun_basis b_basis) := IH (subtype.val : b → s) this b_basis,
exact (equiv_fun_basis b_basis).symm.uniform_embedding (linear_map.continuous_on_pi _) this },
have : is_complete (range ((equiv_fun_basis b_basis).symm)),
{ rw [← image_univ, is_complete_image_iff U],
convert complete_univ,
change complete_space (b → 𝕜),
apply_instance },
have : is_complete (range (subtype.val : s → E)),
{ change is_complete (range ((equiv_fun_basis b_basis).symm.to_equiv)) at this,
rw equiv.range_eq_univ at this,
rwa [← image_univ, is_complete_image_iff],
exact isometry_subtype_val.uniform_embedding },
apply is_closed_of_is_complete,
rwa subtype.val_range at this },
-- second step: any linear form is continuous, as its kernel is closed by the first step
have H₂ : ∀f : E →ₗ[𝕜] 𝕜, continuous f,
{ assume f,
have : findim 𝕜 f.ker = n ∨ findim 𝕜 f.ker = n.succ,
{ have Z := f.findim_range_add_findim_ker,
rw [findim_eq_card_basis hξ, hn] at Z,
have : findim 𝕜 f.range = 0 ∨ findim 𝕜 f.range = 1,
{ have I : ∀(k : ℕ), k ≤ 1 ↔ k = 0 ∨ k = 1, by omega manual,
have : findim 𝕜 f.range ≤ findim 𝕜 𝕜 := submodule.findim_le _,
rwa [findim_of_field, I] at this },
cases this,
{ rw this at Z,
right,
simpa using Z },
{ left,
rw [this, add_comm, nat.add_one] at Z,
exact nat.succ_inj Z } },
have : is_closed (f.ker : set E),
{ cases this,
{ exact H₁ _ this },
{ have : f.ker = ⊤,
by { apply eq_top_of_findim_eq, rw [findim_eq_card_basis hξ, hn, this] },
simp [this] } },
exact linear_map.continuous_iff_is_closed_ker.2 this },
-- third step: applying the continuity to the linear form corresponding to a coefficient in the
-- basis decomposition, deduce that all such coefficients are controlled in terms of the norm
have : ∀i:ι, ∃C, 0 ≤ C ∧ ∀(x:E), ∥equiv_fun_basis hξ x i∥ ≤ C * ∥x∥,
{ assume i,
let f : E →ₗ[𝕜] 𝕜 := (linear_map.proj i).comp (equiv_fun_basis hξ),
let f' : E →L[𝕜] 𝕜 := { cont := H₂ f, ..f },
exact ⟨∥f'∥, norm_nonneg _, λx, continuous_linear_map.le_op_norm f' x⟩ },
-- fourth step: combine the bound on each coefficient to get a global bound and the continuity
choose C0 hC0 using this,
let C := finset.sum finset.univ C0,
have C_nonneg : 0 ≤ C := finset.sum_nonneg (λi hi, (hC0 i).1),
have C0_le : ∀i, C0 i ≤ C :=
λi, finset.single_le_sum (λj hj, (hC0 j).1) (finset.mem_univ _),
apply linear_map.continuous_of_bound _ C (λx, _),
rw pi_norm_le_iff,
{ exact λi, le_trans ((hC0 i).2 x) (mul_le_mul_of_nonneg_right (C0_le i) (norm_nonneg _)) },
{ exact mul_nonneg C_nonneg (norm_nonneg _) } }
end
/-- Any linear map on a finite dimensional space over a complete field is continuous. -/
theorem linear_map.continuous_of_finite_dimensional [finite_dimensional 𝕜 E] (f : E →ₗ[𝕜] F) :
continuous f :=
begin
-- for the proof, go to a model vector space `b → 𝕜` thanks to `continuous_equiv_fun_basis`, and
-- argue that all linear maps there are continuous.
rcases exists_is_basis_finite 𝕜 E with ⟨b, b_basis, b_finite⟩,
letI : fintype b := finite.fintype b_finite,
have A : continuous (equiv_fun_basis b_basis) :=
continuous_equiv_fun_basis _ rfl b_basis,
have B : continuous (f.comp ((equiv_fun_basis b_basis).symm : (b → 𝕜) →ₗ[𝕜] E)) :=
linear_map.continuous_on_pi _,
have : continuous ((f.comp ((equiv_fun_basis b_basis).symm : (b → 𝕜) →ₗ[𝕜] E))
∘ (equiv_fun_basis b_basis)) := B.comp A,
convert this,
ext x,
simp only [linear_equiv.coe_apply, function.comp_app, coe_fn_coe_base, linear_map.comp_apply],
rw linear_equiv.symm_apply_apply
end
/-- Any finite-dimensional vector space over a complete field is complete.
We do not register this as an instance to avoid an instance loop when trying to prove the
completeness of `𝕜`, and the search for `𝕜` as an unknown metavariable. Declare the instance
explicitly when needed. -/
variables (𝕜 E)
lemma finite_dimensional.complete [finite_dimensional 𝕜 E] : complete_space E :=
begin
rcases exists_is_basis_finite 𝕜 E with ⟨b, b_basis, b_finite⟩,
letI : fintype b := finite.fintype b_finite,
have : uniform_embedding (equiv_fun_basis b_basis).symm :=
linear_equiv.uniform_embedding _ (linear_map.continuous_of_finite_dimensional _)
(linear_map.continuous_of_finite_dimensional _),
have : is_complete ((equiv_fun_basis b_basis).symm.to_equiv '' univ) :=
(is_complete_image_iff this).mpr complete_univ,
rw [image_univ, equiv.range_eq_univ] at this,
exact complete_space_of_is_complete_univ this
end
variables {𝕜 E}
/-- A finite-dimensional subspace is complete. -/
lemma submodule.complete_of_finite_dimensional (s : submodule 𝕜 E) [finite_dimensional 𝕜 s] :
is_complete (s : set E) :=
begin
haveI : complete_space s := finite_dimensional.complete 𝕜 s,
have : is_complete (range (subtype.val : s → E)),
{ rw [← image_univ, is_complete_image_iff],
{ exact complete_univ },
{ exact isometry_subtype_val.uniform_embedding } },
rwa subtype.val_range at this
end
/-- A finite-dimensional subspace is closed. -/
lemma submodule.closed_of_finite_dimensional (s : submodule 𝕜 E) [finite_dimensional 𝕜 s] :
is_closed (s : set E) :=
is_closed_of_is_complete s.complete_of_finite_dimensional
end complete_field
section proper_field
variables (𝕜 : Type u) [nondiscrete_normed_field 𝕜]
(E : Type v) [normed_group E] [normed_space 𝕜 E] [proper_space 𝕜]
/-- Any finite-dimensional vector space over a proper field is proper.
We do not register this as an instance to avoid an instance loop when trying to prove the
properness of `𝕜`, and the search for `𝕜` as an unknown metavariable. Declare the instance
explicitly when needed. -/
lemma finite_dimensional.proper [finite_dimensional 𝕜 E] : proper_space E :=
begin
rcases exists_is_basis_finite 𝕜 E with ⟨b, b_basis, b_finite⟩,
letI : fintype b := finite.fintype b_finite,
let e := equiv_fun_basis b_basis,
let f : E →L[𝕜] (b → 𝕜) :=
{ cont := linear_map.continuous_of_finite_dimensional _, ..e.to_linear_map },
refine metric.proper_image_of_proper e.symm
(linear_map.continuous_of_finite_dimensional _) _ (∥f∥) (λx y, _),
{ exact equiv.range_eq_univ e.symm.to_equiv },
{ have A : e (e.symm x) = x := linear_equiv.apply_symm_apply _ _,
have B : e (e.symm y) = y := linear_equiv.apply_symm_apply _ _,
conv_lhs { rw [← A, ← B] },
change dist (f (e.symm x)) (f (e.symm y)) ≤ ∥f∥ * dist (e.symm x) (e.symm y),
exact f.lipschitz _ _ }
end
end proper_field
/- Over the real numbers, we can register the previous statement as an instance as it will not
cause problems in instance resolution since the properness of `ℝ` is already known. -/
instance finite_dimensional.proper_real
(E : Type u) [normed_group E] [normed_space ℝ E] [finite_dimensional ℝ E] : proper_space E :=
finite_dimensional.proper ℝ E
attribute [instance, priority 900] finite_dimensional.proper_real
|
dbd33308c06efb7646158efc59d8e00f9e49ccc2 | 8cae430f0a71442d02dbb1cbb14073b31048e4b0 | /src/topology/uniform_space/compact.lean | 770d6f888a2209d3c0abc4c941bc495dbf2cc6cc | [
"Apache-2.0"
] | permissive | leanprover-community/mathlib | 56a2cadd17ac88caf4ece0a775932fa26327ba0e | 442a83d738cb208d3600056c489be16900ba701d | refs/heads/master | 1,693,584,102,358 | 1,693,471,902,000 | 1,693,471,902,000 | 97,922,418 | 1,595 | 352 | Apache-2.0 | 1,694,693,445,000 | 1,500,624,130,000 | Lean | UTF-8 | Lean | false | false | 13,165 | lean | /-
Copyright (c) 2020 Patrick Massot. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Patrick Massot, Yury Kudryashov
-/
import topology.uniform_space.uniform_convergence
import topology.uniform_space.equicontinuity
import topology.separation
import topology.support
/-!
# Compact separated uniform spaces
> THIS FILE IS SYNCHRONIZED WITH MATHLIB4.
> Any changes to this file require a corresponding PR to mathlib4.
## Main statements
* `compact_space_uniformity`: On a compact uniform space, the topology determines the
uniform structure, entourages are exactly the neighborhoods of the diagonal.
* `uniform_space_of_compact_t2`: every compact T2 topological structure is induced by a uniform
structure. This uniform structure is described in the previous item.
* **Heine-Cantor** theorem: continuous functions on compact uniform spaces with values in uniform
spaces are automatically uniformly continuous. There are several variations, the main one is
`compact_space.uniform_continuous_of_continuous`.
## Implementation notes
The construction `uniform_space_of_compact_t2` is not declared as an instance, as it would badly
loop.
## tags
uniform space, uniform continuity, compact space
-/
open_locale classical uniformity topology filter
open filter uniform_space set
variables {α β γ : Type*} [uniform_space α] [uniform_space β]
/-!
### Uniformity on compact spaces
-/
/-- On a compact uniform space, the topology determines the uniform structure, entourages are
exactly the neighborhoods of the diagonal. -/
lemma nhds_set_diagonal_eq_uniformity [compact_space α] : 𝓝ˢ (diagonal α) = 𝓤 α :=
begin
refine nhds_set_diagonal_le_uniformity.antisymm _,
have : (𝓤 (α × α)).has_basis (λ U, U ∈ 𝓤 α)
(λ U, (λ p : (α × α) × α × α, ((p.1.1, p.2.1), p.1.2, p.2.2)) ⁻¹' U ×ˢ U),
{ rw [uniformity_prod_eq_comap_prod],
exact (𝓤 α).basis_sets.prod_self.comap _ },
refine (is_compact_diagonal.nhds_set_basis_uniformity this).ge_iff.2 (λ U hU, _),
exact mem_of_superset hU (λ ⟨x, y⟩ hxy, mem_Union₂.2 ⟨(x, x), rfl, refl_mem_uniformity hU, hxy⟩)
end
/-- On a compact uniform space, the topology determines the uniform structure, entourages are
exactly the neighborhoods of the diagonal. -/
lemma compact_space_uniformity [compact_space α] : 𝓤 α = ⨆ x, 𝓝 (x, x) :=
nhds_set_diagonal_eq_uniformity.symm.trans (nhds_set_diagonal _)
lemma unique_uniformity_of_compact [t : topological_space γ] [compact_space γ]
{u u' : uniform_space γ} (h : u.to_topological_space = t) (h' : u'.to_topological_space = t) :
u = u' :=
begin
apply uniform_space_eq,
change uniformity _ = uniformity _,
haveI : @compact_space γ u.to_topological_space, { rwa h },
haveI : @compact_space γ u'.to_topological_space, { rwa h' },
rw [compact_space_uniformity, compact_space_uniformity, h, h']
end
/-- The unique uniform structure inducing a given compact topological structure. -/
def uniform_space_of_compact_t2 [topological_space γ] [compact_space γ] [t2_space γ] :
uniform_space γ :=
{ uniformity := 𝓝ˢ (diagonal γ),
refl := principal_le_nhds_set,
symm := continuous_swap.tendsto_nhds_set $ λ x, eq.symm,
comp := begin
/-
This is the difficult part of the proof. We need to prove that, for each neighborhood `W`
of the diagonal `Δ`, there exists a smaller neighborhood `V` such that `V ○ V ⊆ W`.
-/
set 𝓝Δ := 𝓝ˢ (diagonal γ), -- The filter of neighborhoods of Δ
set F := 𝓝Δ.lift' (λ (s : set (γ × γ)), s ○ s), -- Compositions of neighborhoods of Δ
-- If this weren't true, then there would be V ∈ 𝓝Δ such that F ⊓ 𝓟 Vᶜ ≠ ⊥
rw le_iff_forall_inf_principal_compl,
intros V V_in,
by_contra H,
haveI : ne_bot (F ⊓ 𝓟 Vᶜ) := ⟨H⟩,
-- Hence compactness would give us a cluster point (x, y) for F ⊓ 𝓟 Vᶜ
obtain ⟨⟨x, y⟩, hxy⟩ : ∃ (p : γ × γ), cluster_pt p (F ⊓ 𝓟 Vᶜ) := cluster_point_of_compact _,
-- In particular (x, y) is a cluster point of 𝓟 Vᶜ, hence is not in the interior of V,
-- and a fortiori not in Δ, so x ≠ y
have clV : cluster_pt (x, y) (𝓟 $ Vᶜ) := hxy.of_inf_right,
have : (x, y) ∉ interior V,
{ have : (x, y) ∈ closure (Vᶜ), by rwa mem_closure_iff_cluster_pt,
rwa closure_compl at this },
have diag_subset : diagonal γ ⊆ interior V,
from subset_interior_iff_mem_nhds_set.2 V_in,
have x_ne_y : x ≠ y,
from mt (@diag_subset (x, y)) this,
-- Since γ is compact and Hausdorff, it is normal, hence T₃.
haveI : normal_space γ := normal_of_compact_t2,
-- So there are closed neighboords V₁ and V₂ of x and y contained in disjoint open neighborhoods
-- U₁ and U₂.
obtain
⟨U₁, U₁_in, V₁, V₁_in, U₂, U₂_in₂, V₂, V₂_in, V₁_cl, V₂_cl, U₁_op, U₂_op, VU₁, VU₂, hU₁₂⟩ :=
disjoint_nested_nhds x_ne_y,
-- We set U₃ := (V₁ ∪ V₂)ᶜ so that W := U₁ ×ˢ U₁ ∪ U₂ ×ˢ U₂ ∪ U₃ ×ˢ U₃ is an open
-- neighborhood of Δ.
let U₃ := (V₁ ∪ V₂)ᶜ,
have U₃_op : is_open U₃ := (V₁_cl.union V₂_cl).is_open_compl,
let W := U₁ ×ˢ U₁ ∪ U₂ ×ˢ U₂ ∪ U₃ ×ˢ U₃,
have W_in : W ∈ 𝓝Δ,
{ rw [mem_nhds_set_iff_forall],
rintros ⟨z, z'⟩ (rfl : z = z'),
refine is_open.mem_nhds _ _,
{ apply_rules [is_open.union, is_open.prod] },
{ simp only [mem_union, mem_prod, and_self],
exact (em _).imp_left (λ h, union_subset_union VU₁ VU₂ h) } },
-- So W ○ W ∈ F by definition of F
have : W ○ W ∈ F, by simpa only using mem_lift' W_in,
-- And V₁ ×ˢ V₂ ∈ 𝓝 (x, y)
have hV₁₂ : V₁ ×ˢ V₂ ∈ 𝓝 (x, y) := prod_mem_nhds V₁_in V₂_in,
-- But (x, y) is also a cluster point of F so (V₁ ×ˢ V₂) ∩ (W ○ W) ≠ ∅
-- However the construction of W implies (V₁ ×ˢ V₂) ∩ (W ○ W) = ∅.
-- Indeed assume for contradiction there is some (u, v) in the intersection.
obtain ⟨⟨u, v⟩, ⟨u_in, v_in⟩, w, huw, hwv⟩ := cluster_pt_iff.mp (hxy.of_inf_left) hV₁₂ this,
-- So u ∈ V₁, v ∈ V₂, and there exists some w such that (u, w) ∈ W and (w ,v) ∈ W.
-- Because u is in V₁ which is disjoint from U₂ and U₃, (u, w) ∈ W forces (u, w) ∈ U₁ ×ˢ U₁.
have uw_in : (u, w) ∈ U₁ ×ˢ U₁ := (huw.resolve_right $ λ h, (h.1 $ or.inl u_in)).resolve_right
(λ h, hU₁₂.le_bot ⟨VU₁ u_in, h.1⟩),
-- Similarly, because v ∈ V₂, (w ,v) ∈ W forces (w, v) ∈ U₂ ×ˢ U₂.
have wv_in : (w, v) ∈ U₂ ×ˢ U₂ := (hwv.resolve_right $ λ h, (h.2 $ or.inr v_in)).resolve_left
(λ h, hU₁₂.le_bot ⟨h.2, VU₂ v_in⟩),
-- Hence w ∈ U₁ ∩ U₂ which is empty.
-- So we have a contradiction
exact hU₁₂.le_bot ⟨uw_in.2, wv_in.1⟩,
end,
is_open_uniformity := begin
-- Here we need to prove the topology induced by the constructed uniformity is the
-- topology we started with.
suffices : ∀ x : γ, filter.comap (prod.mk x) (𝓝ˢ (diagonal γ)) = 𝓝 x,
{ intros s,
simp_rw [is_open_fold, is_open_iff_mem_nhds, ← mem_comap_prod_mk, this] },
intros x,
simp_rw [nhds_set_diagonal, comap_supr, nhds_prod_eq, comap_prod, (∘), comap_id'],
rw [supr_split_single _ x, comap_const_of_mem (λ V, mem_of_mem_nhds)],
suffices : ∀ y ≠ x, comap (λ (y : γ), x) (𝓝 y) ⊓ 𝓝 y ≤ 𝓝 x,
by simpa,
intros y hxy,
simp [comap_const_of_not_mem (compl_singleton_mem_nhds hxy) (not_not.2 rfl)]
end }
/-!
### Heine-Cantor theorem
-/
/-- Heine-Cantor: a continuous function on a compact uniform space is uniformly
continuous. -/
lemma compact_space.uniform_continuous_of_continuous [compact_space α]
{f : α → β} (h : continuous f) : uniform_continuous f :=
have tendsto (prod.map f f) (𝓝ˢ (diagonal α)) (𝓝ˢ (diagonal β)),
from (h.prod_map h).tendsto_nhds_set maps_to_prod_map_diagonal,
(this.mono_left nhds_set_diagonal_eq_uniformity.ge).mono_right nhds_set_diagonal_le_uniformity
/-- Heine-Cantor: a continuous function on a compact set of a uniform space is uniformly
continuous. -/
lemma is_compact.uniform_continuous_on_of_continuous {s : set α} {f : α → β}
(hs : is_compact s) (hf : continuous_on f s) : uniform_continuous_on f s :=
begin
rw uniform_continuous_on_iff_restrict,
rw is_compact_iff_compact_space at hs,
rw continuous_on_iff_continuous_restrict at hf,
resetI,
exact compact_space.uniform_continuous_of_continuous hf,
end
/-- If `s` is compact and `f` is continuous at all points of `s`, then `f` is
"uniformly continuous at the set `s`", i.e. `f x` is close to `f y` whenever `x ∈ s` and `y` is
close to `x` (even if `y` is not itself in `s`, so this is a stronger assertion than
`uniform_continuous_on s`). -/
lemma is_compact.uniform_continuous_at_of_continuous_at {r : set (β × β)} {s : set α}
(hs : is_compact s) (f : α → β) (hf : ∀ a ∈ s, continuous_at f a) (hr : r ∈ 𝓤 β) :
{x : α × α | x.1 ∈ s → (f x.1, f x.2) ∈ r} ∈ 𝓤 α :=
begin
obtain ⟨t, ht, htsymm, htr⟩ := comp_symm_mem_uniformity_sets hr,
choose U hU T hT hb using λ a ha, exists_mem_nhds_ball_subset_of_mem_nhds
((hf a ha).preimage_mem_nhds $ mem_nhds_left _ ht),
obtain ⟨fs, hsU⟩ := hs.elim_nhds_subcover' U hU,
apply mem_of_superset ((bInter_finset_mem fs).2 $ λ a _, hT a a.2),
rintro ⟨a₁, a₂⟩ h h₁,
obtain ⟨a, ha, haU⟩ := set.mem_Union₂.1 (hsU h₁),
apply htr,
refine ⟨f a, htsymm.mk_mem_comm.1 (hb _ _ _ haU _), hb _ _ _ haU _⟩,
exacts [mem_ball_self _ (hT a a.2), mem_Inter₂.1 h a ha],
end
lemma continuous.uniform_continuous_of_tendsto_cocompact {f : α → β} {x : β}
(h_cont : continuous f) (hx : tendsto f (cocompact α) (𝓝 x)) : uniform_continuous f :=
uniform_continuous_def.2 $ λ r hr, begin
obtain ⟨t, ht, htsymm, htr⟩ := comp_symm_mem_uniformity_sets hr,
obtain ⟨s, hs, hst⟩ := mem_cocompact.1 (hx $ mem_nhds_left _ ht),
apply mem_of_superset (symmetrize_mem_uniformity $ hs.uniform_continuous_at_of_continuous_at
f (λ _ _, h_cont.continuous_at) $ symmetrize_mem_uniformity hr),
rintro ⟨b₁, b₂⟩ h,
by_cases h₁ : b₁ ∈ s, { exact (h.1 h₁).1 },
by_cases h₂ : b₂ ∈ s, { exact (h.2 h₂).2 },
apply htr,
exact ⟨x, htsymm.mk_mem_comm.1 (hst h₁), hst h₂⟩,
end
/-- If `f` has compact multiplicative support, then `f` tends to 1 at infinity. -/
@[to_additive "If `f` has compact support, then `f` tends to zero at infinity."]
lemma has_compact_mul_support.is_one_at_infty {f : α → γ} [topological_space γ] [has_one γ]
(h : has_compact_mul_support f) : tendsto f (cocompact α) (𝓝 1) :=
begin
-- porting note: move to src/topology/support.lean once the port is over
intros N hN,
rw [mem_map, mem_cocompact'],
refine ⟨mul_tsupport f, h.is_compact, _⟩,
rw compl_subset_comm,
intros v hv,
rw [mem_preimage, image_eq_one_of_nmem_mul_tsupport hv],
exact mem_of_mem_nhds hN,
end
@[to_additive]
lemma has_compact_mul_support.uniform_continuous_of_continuous {f : α → β} [has_one β]
(h1 : has_compact_mul_support f) (h2 : continuous f) : uniform_continuous f :=
h2.uniform_continuous_of_tendsto_cocompact h1.is_one_at_infty
/-- A family of functions `α → β → γ` tends uniformly to its value at `x` if `α` is locally compact,
`β` is compact and `f` is continuous on `U × (univ : set β)` for some neighborhood `U` of `x`. -/
lemma continuous_on.tendsto_uniformly [locally_compact_space α] [compact_space β]
[uniform_space γ] {f : α → β → γ} {x : α} {U : set α}
(hxU : U ∈ 𝓝 x) (h : continuous_on ↿f (U ×ˢ univ)) :
tendsto_uniformly f (f x) (𝓝 x) :=
begin
rcases locally_compact_space.local_compact_nhds _ _ hxU with ⟨K, hxK, hKU, hK⟩,
have : uniform_continuous_on ↿f (K ×ˢ univ),
from is_compact.uniform_continuous_on_of_continuous (hK.prod is_compact_univ)
(h.mono $ prod_mono hKU subset.rfl),
exact this.tendsto_uniformly hxK
end
/-- A continuous family of functions `α → β → γ` tends uniformly to its value at `x` if `α` is
locally compact and `β` is compact. -/
lemma continuous.tendsto_uniformly [locally_compact_space α] [compact_space β] [uniform_space γ]
(f : α → β → γ) (h : continuous ↿f) (x : α) : tendsto_uniformly f (f x) (𝓝 x) :=
h.continuous_on.tendsto_uniformly univ_mem
section uniform_convergence
/-- An equicontinuous family of functions defined on a compact uniform space is automatically
uniformly equicontinuous. -/
lemma compact_space.uniform_equicontinuous_of_equicontinuous {ι : Type*} {F : ι → β → α}
[compact_space β] (h : equicontinuous F) :
uniform_equicontinuous F :=
begin
rw equicontinuous_iff_continuous at h,
rw uniform_equicontinuous_iff_uniform_continuous,
exact compact_space.uniform_continuous_of_continuous h
end
end uniform_convergence
|
df1483bd7497ac849ec26570a464853e4325bab1 | 562dafcca9e8bf63ce6217723b51f32e89cdcc80 | /src/super/splitting.lean | f8d53ed239b34168eb6a3065ce2c3adf333c82c0 | [] | no_license | digama0/super | 660801ef3edab2c046d6a01ba9bbce53e41523e8 | 976957fe46128e6ef057bc771f532c27cce5a910 | refs/heads/master | 1,606,987,814,510 | 1,498,621,778,000 | 1,498,621,778,000 | 95,626,306 | 0 | 0 | null | 1,498,621,692,000 | 1,498,621,692,000 | null | UTF-8 | Lean | false | false | 2,664 | lean | /-
Copyright (c) 2017 Gabriel Ebner. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Gabriel Ebner
-/
import .prover_state
open monad expr list tactic
namespace super
private meta def find_components : list expr → list (list (expr × ℕ)) → list (list (expr × ℕ))
| (e::es) comps :=
let (contain_e, do_not_contain_e) :=
partition (λc : list (expr × ℕ), c.exists_ $ λf,
(abstract_local f.1 e.local_uniq_name).has_var) comps in
find_components es $ list.join contain_e :: do_not_contain_e
| _ comps := comps
meta def get_components (hs : list expr) : list (list expr) :=
(find_components hs (hs.zip_with_index.map $ λh, [h])).map $ λc,
(sort_on (λh : expr × ℕ, h.2) c).map $ λh, h.1
meta def extract_assertions : clause → prover (clause × list expr) | c :=
if c.num_lits = 0 then return (c, [])
else if c.num_quants ≠ 0 then do
qf ← c.open_constn c.num_quants,
qf_wo_as ← extract_assertions qf.1,
return (qf_wo_as.1.close_constn qf.2, qf_wo_as.2)
else do
hd ← return $ c.get_lit 0,
hyp_opt ← get_sat_hyp_core hd.formula hd.is_neg,
match hyp_opt with
| some h := do
wo_as ← extract_assertions (c.inst h),
return (wo_as.1, h :: wo_as.2)
| _ := do
op ← c.open_const,
op_wo_as ← extract_assertions op.1,
return (op_wo_as.1.close_const op.2, op_wo_as.2)
end
meta def mk_splitting_clause' (empty_clause : clause) : list (list expr) → tactic (list expr × expr)
| [] := return ([], empty_clause.proof)
| ([p] :: comps) := do p' ← mk_splitting_clause' comps, return (p::p'.1, p'.2)
| (comp :: comps) := do
(hs, p') ← mk_splitting_clause' comps,
hnc ← mk_local_def `hnc (imp (pis comp empty_clause.local_false) empty_clause.local_false),
p'' ← return $ app hnc (lambdas comp p'),
return (hnc::hs, p'')
meta def mk_splitting_clause (empty_clause : clause) (comps : list (list expr)) : tactic clause := do
(hs, p) ← mk_splitting_clause' empty_clause comps,
return $ { empty_clause with proof := p }.close_constn hs
@[super.inf]
meta def splitting_inf : inf_decl := inf_decl.mk 30 $ take given, do
lf ← flip monad.lift state_t.read $ λst, st.local_false,
op ← given.c.open_constn given.c.num_binders,
if list.bor (given.c.get_lits.map $ λl, (is_local_not lf l.formula).is_some) then return () else
let comps := get_components op.2 in
if comps.length < 2 then return () else do
splitting_clause ← mk_splitting_clause op.1 comps,
ass ← collect_ass_hyps splitting_clause,
add_sat_clause (splitting_clause.close_constn ass) given.sc.sched_default,
remove_redundant given.id []
end super
|
867ad7d8d327fd24ad2bdfa6f739e75a96ff7f72 | 92b50235facfbc08dfe7f334827d47281471333b | /hott/types/sigma.hlean | 4ae941aa38e1a1ada07cbc598f5fbc01bc3e9efc | [
"Apache-2.0"
] | permissive | htzh/lean | 24f6ed7510ab637379ec31af406d12584d31792c | d70c79f4e30aafecdfc4a60b5d3512199200ab6e | refs/heads/master | 1,607,677,731,270 | 1,437,089,952,000 | 1,437,089,952,000 | 37,078,816 | 0 | 0 | null | 1,433,780,956,000 | 1,433,780,955,000 | null | UTF-8 | Lean | false | false | 15,526 | hlean | /-
Copyright (c) 2014-15 Floris van Doorn. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Author: Floris van Doorn
Partially ported from Coq HoTT
Theorems about sigma-types (dependent sums)
-/
import types.prod
open eq sigma sigma.ops equiv is_equiv
namespace sigma
local infixr ∘ := function.compose --remove
variables {A A' : Type} {B : A → Type} {B' : A' → Type} {C : Πa, B a → Type}
{D : Πa b, C a b → Type}
{a a' a'' : A} {b b₁ b₂ : B a} {b' : B a'} {b'' : B a''} {u v w : Σa, B a}
definition destruct := @sigma.cases_on
protected definition eta : Π (u : Σa, B a), ⟨u.1 , u.2⟩ = u
| eta ⟨u₁, u₂⟩ := idp
definition eta2 : Π (u : Σa b, C a b), ⟨u.1, u.2.1, u.2.2⟩ = u
| eta2 ⟨u₁, u₂, u₃⟩ := idp
definition eta3 : Π (u : Σa b c, D a b c), ⟨u.1, u.2.1, u.2.2.1, u.2.2.2⟩ = u
| eta3 ⟨u₁, u₂, u₃, u₄⟩ := idp
definition dpair_eq_dpair (p : a = a') (q : b =[p] b') : ⟨a, b⟩ = ⟨a', b'⟩ :=
by induction q; reflexivity
definition sigma_eq (p : u.1 = v.1) (q : u.2 =[p] v.2) : u = v :=
by induction u; induction v; exact (dpair_eq_dpair p q)
/- Projections of paths from a total space -/
definition eq_pr1 (p : u = v) : u.1 = v.1 :=
ap pr1 p
postfix `..1`:(max+1) := eq_pr1
definition eq_pr2 (p : u = v) : u.2 =[p..1] v.2 :=
by induction p; exact idpo
postfix `..2`:(max+1) := eq_pr2
definition dpair_sigma_eq (p : u.1 = v.1) (q : u.2 =[p] v.2)
: ⟨(sigma_eq p q)..1, (sigma_eq p q)..2⟩ = ⟨p, q⟩ :=
by induction u; induction v;esimp at *;induction q;esimp
definition sigma_eq_pr1 (p : u.1 = v.1) (q : u.2 =[p] v.2) : (sigma_eq p q)..1 = p :=
(dpair_sigma_eq p q)..1
definition sigma_eq_pr2 (p : u.1 = v.1) (q : u.2 =[p] v.2)
: (sigma_eq p q)..2 =[sigma_eq_pr1 p q] q :=
(dpair_sigma_eq p q)..2
definition sigma_eq_eta (p : u = v) : sigma_eq (p..1) (p..2) = p :=
by induction p; induction u; reflexivity
definition tr_pr1_sigma_eq {B' : A → Type} (p : u.1 = v.1) (q : u.2 =[p] v.2)
: transport (λx, B' x.1) (sigma_eq p q) = transport B' p :=
by induction u; induction v; esimp at *;induction q; reflexivity
/- the uncurried version of sigma_eq. We will prove that this is an equivalence -/
definition sigma_eq_unc : Π (pq : Σ(p : u.1 = v.1), u.2 =[p] v.2), u = v
| sigma_eq_unc ⟨pq₁, pq₂⟩ := sigma_eq pq₁ pq₂
definition dpair_sigma_eq_unc : Π (pq : Σ(p : u.1 = v.1), u.2 =[p] v.2),
⟨(sigma_eq_unc pq)..1, (sigma_eq_unc pq)..2⟩ = pq
| dpair_sigma_eq_unc ⟨pq₁, pq₂⟩ := dpair_sigma_eq pq₁ pq₂
definition sigma_eq_pr1_unc (pq : Σ(p : u.1 = v.1), u.2 =[p] v.2)
: (sigma_eq_unc pq)..1 = pq.1 :=
(dpair_sigma_eq_unc pq)..1
definition sigma_eq_pr2_unc (pq : Σ(p : u.1 = v.1), u.2 =[p] v.2) :
(sigma_eq_unc pq)..2 =[sigma_eq_pr1_unc pq] pq.2 :=
(dpair_sigma_eq_unc pq)..2
definition sigma_eq_eta_unc (p : u = v) : sigma_eq_unc ⟨p..1, p..2⟩ = p :=
sigma_eq_eta p
definition tr_sigma_eq_pr1_unc {B' : A → Type}
(pq : Σ(p : u.1 = v.1), u.2 =[p] v.2)
: transport (λx, B' x.1) (@sigma_eq_unc A B u v pq) = transport B' pq.1 :=
destruct pq tr_pr1_sigma_eq
definition is_equiv_sigma_eq [instance] (u v : Σa, B a)
: is_equiv (@sigma_eq_unc A B u v) :=
adjointify sigma_eq_unc
(λp, ⟨p..1, p..2⟩)
sigma_eq_eta_unc
dpair_sigma_eq_unc
definition equiv_sigma_eq (u v : Σa, B a) : (Σ(p : u.1 = v.1), u.2 =[p] v.2) ≃ (u = v) :=
equiv.mk sigma_eq_unc !is_equiv_sigma_eq
definition dpair_eq_dpair_con (p1 : a = a' ) (q1 : b =[p1] b' )
(p2 : a' = a'') (q2 : b' =[p2] b'') :
dpair_eq_dpair (p1 ⬝ p2) (q1 ⬝o q2) = dpair_eq_dpair p1 q1 ⬝ dpair_eq_dpair p2 q2 :=
by induction q1; induction q2; reflexivity
definition sigma_eq_con (p1 : u.1 = v.1) (q1 : u.2 =[p1] v.2)
(p2 : v.1 = w.1) (q2 : v.2 =[p2] w.2) :
sigma_eq (p1 ⬝ p2) (q1 ⬝o q2) = sigma_eq p1 q1 ⬝ sigma_eq p2 q2 :=
by induction u; induction v; induction w; apply dpair_eq_dpair_con
local attribute dpair_eq_dpair [reducible]
definition dpair_eq_dpair_con_idp (p : a = a') (q : b =[p] b') :
dpair_eq_dpair p q = dpair_eq_dpair p !pathover_tr ⬝
dpair_eq_dpair idp (pathover_idp_of_eq (tr_eq_of_pathover q)) :=
by induction q; reflexivity
/- eq_pr1 commutes with the groupoid structure. -/
definition eq_pr1_idp (u : Σa, B a) : (refl u) ..1 = refl (u.1) := idp
definition eq_pr1_con (p : u = v) (q : v = w) : (p ⬝ q) ..1 = (p..1) ⬝ (q..1) := !ap_con
definition eq_pr1_inv (p : u = v) : p⁻¹ ..1 = (p..1)⁻¹ := !ap_inv
/- Applying dpair to one argument is the same as dpair_eq_dpair with reflexivity in the first place. -/
definition ap_dpair (q : b₁ = b₂) :
ap (sigma.mk a) q = dpair_eq_dpair idp (pathover_idp_of_eq q) :=
by induction q; reflexivity
/- Dependent transport is the same as transport along a sigma_eq. -/
definition transportD_eq_transport (p : a = a') (c : C a b) :
p ▸D c = transport (λu, C (u.1) (u.2)) (dpair_eq_dpair p !pathover_tr) c :=
by induction p; reflexivity
definition sigma_eq_eq_sigma_eq {p1 q1 : a = a'} {p2 : b =[p1] b'} {q2 : b =[q1] b'}
(r : p1 = q1) (s : p2 =[r] q2) : sigma_eq p1 p2 = sigma_eq q1 q2 :=
by induction s; reflexivity
/- A path between paths in a total space is commonly shown component wise. -/
definition sigma_eq2 {p q : u = v} (r : p..1 = q..1) (s : p..2 =[r] q..2)
: p = q :=
begin
revert q r s,
induction p, induction u with u1 u2,
intro q r s,
transitivity sigma_eq q..1 q..2,
apply sigma_eq_eq_sigma_eq r s,
apply sigma_eq_eta,
end
definition sigma_eq2_unc {p q : u = v} (rs : Σ(r : p..1 = q..1), p..2 =[r] q..2) : p = q :=
destruct rs sigma_eq2
/- Transport -/
/- The concrete description of transport in sigmas (and also pis) is rather trickier than in the other types. In particular, these cannot be described just in terms of transport in simpler types; they require also the dependent transport [transportD].
In particular, this indicates why `transport` alone cannot be fully defined by induction on the structure of types, although Id-elim/transportD can be (cf. Observational Type Theory). A more thorough set of lemmas, along the lines of the present ones but dealing with Id-elim rather than just transport, might be nice to have eventually? -/
definition transport_eq (p : a = a') (bc : Σ(b : B a), C a b)
: p ▸ bc = ⟨p ▸ bc.1, p ▸D bc.2⟩ :=
by induction p; induction bc; reflexivity
/- The special case when the second variable doesn't depend on the first is simpler. -/
definition tr_eq_nondep {B : Type} {C : A → B → Type} (p : a = a') (bc : Σ(b : B), C a b)
: p ▸ bc = ⟨bc.1, p ▸ bc.2⟩ :=
by induction p; induction bc; reflexivity
/- Or if the second variable contains a first component that doesn't depend on the first. -/
definition tr_eq2_nondep {C : A → Type} {D : Π a:A, B a → C a → Type} (p : a = a')
(bcd : Σ(b : B a) (c : C a), D a b c) : p ▸ bcd = ⟨p ▸ bcd.1, p ▸ bcd.2.1, p ▸D2 bcd.2.2⟩ :=
begin
induction p, induction bcd with b cd, induction cd, reflexivity
end
/- Pathovers -/
definition eta_pathover (p : a = a') (bc : Σ(b : B a), C a b)
: bc =[p] ⟨p ▸ bc.1, p ▸D bc.2⟩ :=
by induction p; induction bc; apply idpo
definition sigma_pathover (p : a = a') (u : Σ(b : B a), C a b) (v : Σ(b : B a'), C a' b)
(r : u.1 =[p] v.1) (s : u.2 =[apo011 C p r] v.2) : u =[p] v :=
begin
induction u, induction v, esimp at *, induction r,
esimp [apo011] at s, induction s using idp_rec_on, apply idpo
end
/- TODO:
* define the projections from the type u =[p] v
* show that the uncurried version of sigma_pathover is an equivalence
-/
/- Functorial action -/
variables (f : A → A') (g : Πa, B a → B' (f a))
definition sigma_functor [unfold 7] (u : Σa, B a) : Σa', B' a' :=
⟨f u.1, g u.1 u.2⟩
/- Equivalences -/
definition is_equiv_sigma_functor [H1 : is_equiv f] [H2 : Π a, is_equiv (g a)]
: is_equiv (sigma_functor f g) :=
adjointify (sigma_functor f g)
(sigma_functor f⁻¹ (λ(a' : A') (b' : B' a'),
((g (f⁻¹ a'))⁻¹ (transport B' (right_inv f a')⁻¹ b'))))
begin
intro u', induction u' with a' b',
apply sigma_eq (right_inv f a'),
rewrite [▸*,right_inv (g (f⁻¹ a')),▸*],
apply tr_pathover
end
begin
intro u,
induction u with a b,
apply (sigma_eq (left_inv f a)),
apply pathover_of_tr_eq,
rewrite [▸*,adj f,-(fn_tr_eq_tr_fn (left_inv f a) (λ a, (g a)⁻¹)),
▸*,transport_compose B' f,tr_inv_tr,left_inv]
end
definition sigma_equiv_sigma_of_is_equiv [H1 : is_equiv f] [H2 : Π a, is_equiv (g a)]
: (Σa, B a) ≃ (Σa', B' a') :=
equiv.mk (sigma_functor f g) !is_equiv_sigma_functor
definition sigma_equiv_sigma (Hf : A ≃ A') (Hg : Π a, B a ≃ B' (to_fun Hf a)) :
(Σa, B a) ≃ (Σa', B' a') :=
sigma_equiv_sigma_of_is_equiv (to_fun Hf) (λ a, to_fun (Hg a))
definition sigma_equiv_sigma_id {B' : A → Type} (Hg : Π a, B a ≃ B' a) : (Σa, B a) ≃ Σa, B' a :=
sigma_equiv_sigma equiv.refl Hg
definition ap_sigma_functor_eq_dpair (p : a = a') (q : b =[p] b') :
ap (sigma_functor f g) (sigma_eq p q) = sigma_eq (ap f p) (pathover.rec_on q idpo) :=
by induction q; reflexivity
-- definition ap_sigma_functor_eq (p : u.1 = v.1) (q : u.2 =[p] v.2)
-- : ap (sigma_functor f g) (sigma_eq p q) =
-- sigma_eq (ap f p)
-- ((transport_compose B' f p (g u.1 u.2))⁻¹ ⬝ (fn_tr_eq_tr_fn p g u.2)⁻¹ ⬝ ap (g v.1) q) :=
-- by induction u; induction v; apply ap_sigma_functor_eq_dpair
/- definition 3.11.9(i): Summing up a contractible family of types does nothing. -/
open is_trunc
definition is_equiv_pr1 [instance] (B : A → Type) [H : Π a, is_contr (B a)]
: is_equiv (@pr1 A B) :=
adjointify pr1
(λa, ⟨a, !center⟩)
(λa, idp)
(λu, sigma_eq idp (pathover_idp_of_eq !center_eq))
definition sigma_equiv_of_is_contr_pr2 [H : Π a, is_contr (B a)] : (Σa, B a) ≃ A :=
equiv.mk pr1 _
/- definition 3.11.9(ii): Dually, summing up over a contractible type does nothing. -/
definition sigma_equiv_of_is_contr_pr1 (B : A → Type) [H : is_contr A] : (Σa, B a) ≃ B (center A)
:=
equiv.mk _ (adjointify
(λu, (center_eq u.1)⁻¹ ▸ u.2)
(λb, ⟨!center, b⟩)
(λb, ap (λx, x ▸ b) !hprop_eq_of_is_contr)
(λu, sigma_eq !center_eq !tr_pathover))
/- Associativity -/
--this proof is harder than in Coq because we don't have eta definitionally for sigma
definition sigma_assoc_equiv (C : (Σa, B a) → Type) : (Σa b, C ⟨a, b⟩) ≃ (Σu, C u) :=
equiv.mk _ (adjointify
(λav, ⟨⟨av.1, av.2.1⟩, av.2.2⟩)
(λuc, ⟨uc.1.1, uc.1.2, !sigma.eta⁻¹ ▸ uc.2⟩)
begin intro uc, induction uc with u c, induction u, reflexivity end
begin intro av, induction av with a v, induction v, reflexivity end)
open prod prod.ops
definition assoc_equiv_prod (C : (A × A') → Type) : (Σa a', C (a,a')) ≃ (Σu, C u) :=
equiv.mk _ (adjointify
(λav, ⟨(av.1, av.2.1), av.2.2⟩)
(λuc, ⟨pr₁ (uc.1), pr₂ (uc.1), !prod.eta⁻¹ ▸ uc.2⟩)
proof (λuc, destruct uc (λu, prod.destruct u (λa b c, idp))) qed
proof (λav, destruct av (λa v, destruct v (λb c, idp))) qed)
/- Symmetry -/
definition comm_equiv_unc (C : A × A' → Type) : (Σa a', C (a, a')) ≃ (Σa' a, C (a, a')) :=
calc
(Σa a', C (a, a')) ≃ Σu, C u : assoc_equiv_prod
... ≃ Σv, C (flip v) : sigma_equiv_sigma !prod_comm_equiv
(λu, prod.destruct u (λa a', equiv.refl))
... ≃ (Σa' a, C (a, a')) : assoc_equiv_prod
definition sigma_comm_equiv (C : A → A' → Type) : (Σa a', C a a') ≃ (Σa' a, C a a') :=
comm_equiv_unc (λu, C (prod.pr1 u) (prod.pr2 u))
definition equiv_prod (A B : Type) : (Σ(a : A), B) ≃ A × B :=
equiv.mk _ (adjointify
(λs, (s.1, s.2))
(λp, ⟨pr₁ p, pr₂ p⟩)
proof (λp, prod.destruct p (λa b, idp)) qed
proof (λs, destruct s (λa b, idp)) qed)
definition comm_equiv_nondep (A B : Type) : (Σ(a : A), B) ≃ Σ(b : B), A :=
calc
(Σ(a : A), B) ≃ A × B : equiv_prod
... ≃ B × A : prod_comm_equiv
... ≃ Σ(b : B), A : equiv_prod
/- ** Universal mapping properties -/
/- *** The positive universal property. -/
section
definition is_equiv_sigma_rec [instance] (C : (Σa, B a) → Type)
: is_equiv (sigma.rec : (Πa b, C ⟨a, b⟩) → Πab, C ab) :=
adjointify _ (λ g a b, g ⟨a, b⟩)
(λ g, proof eq_of_homotopy (λu, destruct u (λa b, idp)) qed)
(λ f, refl f)
definition equiv_sigma_rec (C : (Σa, B a) → Type)
: (Π(a : A) (b: B a), C ⟨a, b⟩) ≃ (Πxy, C xy) :=
equiv.mk sigma.rec _
/- *** The negative universal property. -/
protected definition coind_unc (fg : Σ(f : Πa, B a), Πa, C a (f a)) (a : A)
: Σ(b : B a), C a b :=
⟨fg.1 a, fg.2 a⟩
protected definition coind (f : Π a, B a) (g : Π a, C a (f a)) (a : A) : Σ(b : B a), C a b :=
sigma.coind_unc ⟨f, g⟩ a
--is the instance below dangerous?
--in Coq this can be done without function extensionality
definition is_equiv_coind [instance] (C : Πa, B a → Type)
: is_equiv (@sigma.coind_unc _ _ C) :=
adjointify _ (λ h, ⟨λa, (h a).1, λa, (h a).2⟩)
(λ h, proof eq_of_homotopy (λu, !sigma.eta) qed)
(λfg, destruct fg (λ(f : Π (a : A), B a) (g : Π (x : A), C x (f x)), proof idp qed))
definition sigma_pi_equiv_pi_sigma : (Σ(f : Πa, B a), Πa, C a (f a)) ≃ (Πa, Σb, C a b) :=
equiv.mk sigma.coind_unc _
end
/- ** Subtypes (sigma types whose second components are hprops) -/
/- To prove equality in a subtype, we only need equality of the first component. -/
definition subtype_eq [H : Πa, is_hprop (B a)] (u v : Σa, B a) : u.1 = v.1 → u = v :=
sigma_eq_unc ∘ inv pr1
definition is_equiv_subtype_eq [H : Πa, is_hprop (B a)] (u v : Σa, B a)
: is_equiv (subtype_eq u v) :=
!is_equiv_compose
local attribute is_equiv_subtype_eq [instance]
definition equiv_subtype [H : Πa, is_hprop (B a)] (u v : Σa, B a) : (u.1 = v.1) ≃ (u = v) :=
equiv.mk !subtype_eq _
/- truncatedness -/
definition is_trunc_sigma (B : A → Type) (n : trunc_index)
[HA : is_trunc n A] [HB : Πa, is_trunc n (B a)] : is_trunc n (Σa, B a) :=
begin
revert A B HA HB,
induction n with n IH,
{ intro A B HA HB, fapply is_trunc_equiv_closed_rev, apply sigma_equiv_of_is_contr_pr1},
{ intro A B HA HB, apply is_trunc_succ_intro, intro u v,
apply is_trunc_equiv_closed,
apply equiv_sigma_eq,
exact IH _ _ _ _}
end
end sigma
attribute sigma.is_trunc_sigma [instance] [priority 1505]
open is_trunc sigma prod
/- truncatedness -/
definition prod.is_trunc_prod [instance] [priority 1490] (A B : Type) (n : trunc_index)
[HA : is_trunc n A] [HB : is_trunc n B] : is_trunc n (A × B) :=
is_trunc.is_trunc_equiv_closed n !equiv_prod
|
a94d6f07785182e26ab34f9e323098697be3e6e5 | b70031c8e2c5337b91d7e70f1e0c5f528f7b0e77 | /src/data/equiv/mul_add.lean | 524740334072764aa62bf39739330f88a3cd72b7 | [
"Apache-2.0"
] | permissive | molodiuc/mathlib | cae2ba3ef1601c1f42ca0b625c79b061b63fef5b | 98ebe5a6739fbe254f9ee9d401882d4388f91035 | refs/heads/master | 1,674,237,127,059 | 1,606,353,533,000 | 1,606,353,533,000 | null | 0 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 19,482 | 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 algebra.group.hom
import algebra.group.type_tags
import algebra.group.units_hom
import data.equiv.basic
/-!
# 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, add_hom A B
/-- The `equiv` underlying an `add_equiv`. -/
add_decl_doc add_equiv.to_equiv
/-- The `add_hom` underlying a `add_equiv`. -/
add_decl_doc add_equiv.to_add_hom
/-- `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, mul_hom M N
/-- The `equiv` underlying a `mul_equiv`. -/
add_decl_doc mul_equiv.to_equiv
/-- The `mul_hom` underlying a `mul_equiv`. -/
add_decl_doc mul_equiv.to_mul_hom
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]
@[simp, to_additive]
lemma to_fun_apply {f : M ≃* N} {m : M} : f.to_fun m = f m := rfl
@[simp, to_additive]
lemma to_equiv_apply {f : M ≃* N} {m : M} : f.to_equiv m = f m := rfl
/-- A multiplicative isomorphism preserves multiplication (canonical form). -/
@[simp, to_additive]
lemma map_mul (f : M ≃* N) : ∀ x y, f (x * y) = f x * f y := f.map_mul'
/-- Makes a multiplicative isomorphism from a bijection which preserves multiplication. -/
@[to_additive "Makes an additive isomorphism from a bijection which preserves addition."]
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⟩
@[to_additive]
protected lemma bijective (e : M ≃* N) : function.bijective e := e.to_equiv.bijective
@[to_additive]
protected lemma injective (e : M ≃* N) : function.injective e := e.to_equiv.injective
@[to_additive]
protected lemma surjective (e : M ≃* N) : function.surjective e := e.to_equiv.surjective
/-- The identity map is a multiplicative isomorphism. -/
@[refl, to_additive "The identity map is an additive isomorphism."]
def refl (M : Type*) [has_mul M] : M ≃* M :=
{ map_mul' := λ _ _, rfl,
..equiv.refl _}
instance : inhabited (M ≃* M) := ⟨refl M⟩
/-- The inverse of an isomorphism is an isomorphism. -/
@[symm, to_additive "The inverse of an isomorphism is an isomorphism."]
def symm (h : M ≃* N) : N ≃* M :=
{ map_mul' := λ n₁ n₂, h.injective $
begin
have : ∀ x, h (h.to_equiv.symm.to_fun x) = x := h.to_equiv.apply_symm_apply,
simp only [this, h.map_mul]
end,
.. h.to_equiv.symm}
/-- See Note [custom simps projection] -/
@[to_additive add_equiv.simps.inv_fun "See Note [custom simps projection]"]
def simps.inv_fun (e : M ≃* N) : N → M := e.symm
initialize_simps_projections add_equiv (to_fun → apply, inv_fun → symm_apply)
initialize_simps_projections mul_equiv (to_fun → apply, inv_fun → symm_apply)
@[simp, to_additive]
theorem to_equiv_symm (f : M ≃* N) : f.symm.to_equiv = f.to_equiv.symm := rfl
@[simp, to_additive]
theorem coe_mk (f : M → N) (g h₁ h₂ h₃) : ⇑(mul_equiv.mk f g h₁ h₂ h₃) = f := rfl
@[simp, to_additive]
theorem coe_symm_mk (f : M → N) (g h₁ h₂ h₃) : ⇑(mul_equiv.mk f g h₁ h₂ h₃).symm = g := rfl
/-- Transitivity of multiplication-preserving isomorphisms -/
@[trans, to_additive "Transitivity of addition-preserving isomorphisms"]
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
@[simp, to_additive]
theorem refl_apply (m : M) : refl M m = m := rfl
@[simp, to_additive]
theorem trans_apply (e₁ : M ≃* N) (e₂ : N ≃* P) (m : M) : e₁.trans e₂ m = e₂ (e₁ m) := rfl
@[simp, to_additive] theorem apply_eq_iff_eq (e : M ≃* N) {x y : M} : e x = e y ↔ x = y :=
e.injective.eq_iff
@[to_additive]
lemma apply_eq_iff_symm_apply (e : M ≃* N) {x : M} {y : N} : e x = y ↔ x = e.symm y :=
e.to_equiv.apply_eq_iff_eq_symm_apply
@[to_additive]
lemma symm_apply_eq (e : M ≃* N) {x y} : e.symm x = y ↔ x = e y :=
e.to_equiv.symm_apply_eq
@[to_additive]
lemma eq_symm_apply (e : M ≃* N) {x y} : y = e.symm x ↔ e y = x :=
e.to_equiv.eq_symm_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
@[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⟩
/-- A bijective `monoid` homomorphism is an isomorphism -/
@[to_additive "A bijective `add_monoid` homomorphism is an isomorphism"]
noncomputable def of_bijective {M N} [monoid M] [monoid N] (f : M →* N)
(hf : function.bijective f) : M ≃* N :=
{ map_mul' := f.map_mul',
..equiv.of_bijective f hf }
/--
Extract the forward direction of a multiplicative equivalence
as a multiplication-preserving function.
-/
@[to_additive "Extract the forward direction of an additive equivalence
as an addition-preserving function."]
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 coe_to_monoid_hom {M N} [monoid M] [monoid N] (e : M ≃* N) :
⇑e.to_monoid_hom = e :=
rfl
@[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. -/
@[simp, 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
/-- 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 : f.to_equiv = g.to_equiv := equiv.ext h,
cases f, cases g, congr,
{ exact (funext h) },
{ exact congr_arg equiv.inv_fun h₁ }
end
@[to_additive] lemma to_monoid_hom_injective
{M N} [monoid M] [monoid N] : function.injective (to_monoid_hom : (M ≃* N) → M →* N) :=
λ f g h, mul_equiv.ext (monoid_hom.ext_iff.1 h)
attribute [ext] add_equiv.ext
end mul_equiv
-- We don't use `to_additive` to generate definition because it fails to tell Lean about
-- equational lemmas
/-- Given a pair of additive monoid homomorphisms `f`, `g` such that `g.comp f = id` and
`f.comp g = id`, returns an additive equivalence with `to_fun = f` and `inv_fun = g`. This
constructor is useful if the underlying type(s) have specialized `ext` lemmas for additive
monoid homomorphisms. -/
def add_monoid_hom.to_add_equiv [add_monoid M] [add_monoid N] (f : M →+ N) (g : N →+ M)
(h₁ : g.comp f = add_monoid_hom.id _) (h₂ : f.comp g = add_monoid_hom.id _) :
M ≃+ N :=
{ to_fun := f,
inv_fun := g,
left_inv := add_monoid_hom.congr_fun h₁,
right_inv := add_monoid_hom.congr_fun h₂,
map_add' := f.map_add }
/-- Given a pair of monoid homomorphisms `f`, `g` such that `g.comp f = id` and `f.comp g = id`,
returns an multiplicative equivalence with `to_fun = f` and `inv_fun = g`. This constructor is
useful if the underlying type(s) have specialized `ext` lemmas for monoid homomorphisms. -/
@[to_additive]
def monoid_hom.to_mul_equiv [monoid M] [monoid N] (f : M →* N) (g : N →* M)
(h₁ : g.comp f = monoid_hom.id _) (h₂ : f.comp g = monoid_hom.id _) :
M ≃* N :=
{ to_fun := f,
inv_fun := g,
left_inv := monoid_hom.congr_fun h₁,
right_inv := monoid_hom.congr_fun h₂,
map_mul' := f.map_mul }
@[simp, to_additive]
lemma monoid_hom.coe_to_mul_equiv [monoid M] [monoid N] (f : M →* N) (g : N →* M) (h₁ h₂) :
⇑(f.to_mul_equiv g h₁ h₂) = f := rfl
/-- 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
instance add_equiv.inhabited {M : Type*} [has_add M] : inhabited (M ≃+ M) := ⟨add_equiv.refl M⟩
/-- The group of multiplicative automorphisms. -/
@[to_additive "The group of additive automorphisms."]
def mul_aut (M : Type*) [has_mul M] := M ≃* M
attribute [reducible] mul_aut add_aut
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⟩
@[simp] lemma coe_mul (e₁ e₂ : mul_aut M) : ⇑(e₁ * e₂) = e₁ ∘ e₂ := rfl
@[simp] lemma coe_one : ⇑(1 : mul_aut M) = id := rfl
lemma mul_def (e₁ e₂ : mul_aut M) : e₁ * e₂ = e₂.trans e₁ := rfl
lemma one_def : (1 : mul_aut M) = mul_equiv.refl _ := rfl
lemma inv_def (e₁ : mul_aut M) : e₁⁻¹ = e₁.symm := rfl
@[simp] lemma mul_apply (e₁ e₂ : mul_aut M) (m : M) : (e₁ * e₂) m = e₁ (e₂ m) := rfl
@[simp] lemma one_apply (m : M) : (1 : mul_aut M) m = m := rfl
@[simp] lemma apply_inv_self (e : mul_aut M) (m : M) : e (e⁻¹ m) = m :=
mul_equiv.apply_symm_apply _ _
@[simp] lemma inv_apply_self (e : mul_aut M) (m : M) : e⁻¹ (e m) = m :=
mul_equiv.apply_symm_apply _ _
/-- 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
/-- group conjugation as a group homomorphism into the automorphism group.
`conj g h = g * h * g⁻¹` -/
def conj [group G] : G →* mul_aut G :=
{ to_fun := λ g,
{ to_fun := λ h, g * h * g⁻¹,
inv_fun := λ h, g⁻¹ * h * g,
left_inv := λ _, by simp [mul_assoc],
right_inv := λ _, by simp [mul_assoc],
map_mul' := by simp [mul_assoc] },
map_mul' := λ _ _, by ext; simp [mul_assoc],
map_one' := by ext; simp [mul_assoc] }
@[simp] lemma conj_apply [group G] (g h : G) : conj g h = g * h * g⁻¹ := rfl
@[simp] lemma conj_symm_apply [group G] (g h : G) : (conj g).symm h = g⁻¹ * h * g := rfl
@[simp] lemma conj_inv_apply {G : Type*} [group G] (g h : G) : (conj g)⁻¹ h = g⁻¹ * h * g := rfl
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⟩
@[simp] lemma coe_mul (e₁ e₂ : add_aut A) : ⇑(e₁ * e₂) = e₁ ∘ e₂ := rfl
@[simp] lemma coe_one : ⇑(1 : add_aut A) = id := rfl
lemma mul_def (e₁ e₂ : add_aut A) : e₁ * e₂ = e₂.trans e₁ := rfl
lemma one_def : (1 : add_aut A) = add_equiv.refl _ := rfl
lemma inv_def (e₁ : add_aut A) : e₁⁻¹ = e₁.symm := rfl
@[simp] lemma mul_apply (e₁ e₂ : add_aut A) (a : A) : (e₁ * e₂) a = e₁ (e₂ a) := rfl
@[simp] lemma one_apply (a : A) : (1 : add_aut A) a = a := rfl
@[simp] lemma apply_inv_self (e : add_aut A) (a : A) : e⁻¹ (e a) = a :=
add_equiv.apply_symm_apply _ _
@[simp] lemma inv_apply_self (e : add_aut A) (a : A) : e (e⁻¹ a) = a :=
add_equiv.apply_symm_apply _ _
/-- 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. -/
@[to_additive to_add_units "An additive group is isomorphic to its group of additive 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 }
/-- Left multiplication by a unit of a monoid is a permutation of the underlying type. -/
@[to_additive "Left addition of an additive unit is a permutation of the underlying type."]
def mul_left (u : units M) : equiv.perm M :=
{ to_fun := λx, u * x,
inv_fun := λx, ↑u⁻¹ * x,
left_inv := u.inv_mul_cancel_left,
right_inv := u.mul_inv_cancel_left }
@[simp, to_additive]
lemma coe_mul_left (u : units M) : ⇑u.mul_left = (*) u := rfl
@[simp, to_additive]
lemma mul_left_symm (u : units M) : u.mul_left.symm = u⁻¹.mul_left :=
equiv.ext $ λ x, rfl
/-- Right multiplication by a unit of a monoid is a permutation of the underlying type. -/
@[to_additive "Right addition of an additive unit is a permutation of the underlying type."]
def mul_right (u : units M) : equiv.perm M :=
{ to_fun := λx, x * u,
inv_fun := λx, x * ↑u⁻¹,
left_inv := λ x, mul_inv_cancel_right x u,
right_inv := λ x, inv_mul_cancel_right x u }
@[simp, to_additive]
lemma coe_mul_right (u : units M) : ⇑u.mul_right = λ x : M, x * u := rfl
@[simp, to_additive]
lemma mul_right_symm (u : units M) : u.mul_right.symm = u⁻¹.mul_right :=
equiv.ext $ λ x, rfl
end units
namespace equiv
section group
variables [group G]
/-- Left multiplication in a `group` is a permutation of the underlying type. -/
@[to_additive "Left addition in an `add_group` is a permutation of the underlying type."]
protected def mul_left (a : G) : perm G := (to_units a).mul_left
@[simp, to_additive]
lemma coe_mul_left (a : G) : ⇑(equiv.mul_left a) = (*) a := rfl
@[simp, to_additive]
lemma mul_left_symm (a : G) : (equiv.mul_left a).symm = equiv.mul_left a⁻¹ :=
ext $ λ x, rfl
/-- Right multiplication in a `group` is a permutation of the underlying type. -/
@[to_additive "Right addition in an `add_group` is a permutation of the underlying type."]
protected def mul_right (a : G) : perm G := (to_units a).mul_right
@[simp, to_additive]
lemma coe_mul_right (a : G) : ⇑(equiv.mul_right a) = λ x, x * a := rfl
@[simp, to_additive]
lemma mul_right_symm (a : G) : (equiv.mul_right a).symm = equiv.mul_right a⁻¹ :=
ext $ λ x, rfl
variable (G)
/-- Inversion on a `group` is a permutation of the underlying type. -/
@[to_additive "Negation on an `add_group` is a permutation of the underlying type."]
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 }
variable {G}
@[simp, to_additive]
lemma coe_inv : ⇑(equiv.inv G) = has_inv.inv := rfl
@[simp, to_additive]
lemma inv_symm : (equiv.inv G).symm = equiv.inv G := rfl
end group
end equiv
section type_tags
/-- Reinterpret `G ≃+ H` as `multiplicative G ≃* multiplicative H`. -/
def add_equiv.to_multiplicative [add_monoid G] [add_monoid H] :
(G ≃+ H) ≃ (multiplicative G ≃* multiplicative H) :=
{ to_fun := λ f, ⟨f.to_add_monoid_hom.to_multiplicative, f.symm.to_add_monoid_hom.to_multiplicative, f.3, f.4, f.5⟩,
inv_fun := λ f, ⟨f.to_monoid_hom, f.symm.to_monoid_hom, f.3, f.4, f.5⟩,
left_inv := λ x, by { ext, refl, },
right_inv := λ x, by { ext, refl, }, }
/-- Reinterpret `G ≃* H` as `additive G ≃+ additive H`. -/
def mul_equiv.to_additive [monoid G] [monoid H] :
(G ≃* H) ≃ (additive G ≃+ additive H) :=
{ to_fun := λ f, ⟨f.to_monoid_hom.to_additive, f.symm.to_monoid_hom.to_additive, f.3, f.4, f.5⟩,
inv_fun := λ f, ⟨f.to_add_monoid_hom, f.symm.to_add_monoid_hom, f.3, f.4, f.5⟩,
left_inv := λ x, by { ext, refl, },
right_inv := λ x, by { ext, refl, }, }
/-- Reinterpret `additive G ≃+ H` as `G ≃* multiplicative H`. -/
def add_equiv.to_multiplicative' [monoid G] [add_monoid H] :
(additive G ≃+ H) ≃ (G ≃* multiplicative H) :=
{ to_fun := λ f, ⟨f.to_add_monoid_hom.to_multiplicative', f.symm.to_add_monoid_hom.to_multiplicative'', f.3, f.4, f.5⟩,
inv_fun := λ f, ⟨f.to_monoid_hom, f.symm.to_monoid_hom, f.3, f.4, f.5⟩,
left_inv := λ x, by { ext, refl, },
right_inv := λ x, by { ext, refl, }, }
/-- Reinterpret `G ≃* multiplicative H` as `additive G ≃+ H` as. -/
def mul_equiv.to_additive' [monoid G] [add_monoid H] :
(G ≃* multiplicative H) ≃ (additive G ≃+ H) :=
add_equiv.to_multiplicative'.symm
/-- Reinterpret `G ≃+ additive H` as `multiplicative G ≃* H`. -/
def add_equiv.to_multiplicative'' [add_monoid G] [monoid H] :
(G ≃+ additive H) ≃ (multiplicative G ≃* H) :=
{ to_fun := λ f, ⟨f.to_add_monoid_hom.to_multiplicative'', f.symm.to_add_monoid_hom.to_multiplicative', f.3, f.4, f.5⟩,
inv_fun := λ f, ⟨f.to_monoid_hom, f.symm.to_monoid_hom, f.3, f.4, f.5⟩,
left_inv := λ x, by { ext, refl, },
right_inv := λ x, by { ext, refl, }, }
/-- Reinterpret `multiplicative G ≃* H` as `G ≃+ additive H` as. -/
def mul_equiv.to_additive'' [add_monoid G] [monoid H] :
(multiplicative G ≃* H) ≃ (G ≃+ additive H) :=
add_equiv.to_multiplicative''.symm
end type_tags
|
871cb4798e0dccafd5b95b7c11ec4a0d83640ed0 | b147e1312077cdcfea8e6756207b3fa538982e12 | /data/nat/basic.lean | 05400aa2f0dd1257801f1fee79b60cbfa91422ac | [
"Apache-2.0"
] | permissive | SzJS/mathlib | 07836ee708ca27cd18347e1e11ce7dd5afb3e926 | 23a5591fca0d43ee5d49d89f6f0ee07a24a6ca29 | refs/heads/master | 1,584,980,332,064 | 1,532,063,841,000 | 1,532,063,841,000 | null | 0 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 19,809 | lean | /-
Copyright (c) 2014 Floris van Doorn. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Floris van Doorn, Leonardo de Moura, Jeremy Avigad, Mario Carneiro
Basic operations on the natural numbers.
-/
import logic.basic algebra.order data.option
universe u
namespace nat
variables {m n k : ℕ}
theorem pred_sub (n m : ℕ) : pred n - m = pred (n - m) :=
by rw [← sub_one, nat.sub_sub, one_add]; refl
theorem pos_iff_ne_zero : n > 0 ↔ n ≠ 0 :=
⟨ne_of_gt, nat.pos_of_ne_zero⟩
theorem pos_iff_ne_zero' : 0 < n ↔ n ≠ 0 := pos_iff_ne_zero
protected theorem le_sub_add (n m : ℕ) : n ≤ n - m + m :=
or.elim (le_total n m)
(assume : n ≤ m, begin rw [sub_eq_zero_of_le this, zero_add], exact this end)
(assume : m ≤ n, begin rw (nat.sub_add_cancel this) end)
theorem sub_add_eq_max (n m : ℕ) : n - m + m = max n m :=
eq_max (nat.le_sub_add _ _) (le_add_left _ _) $ λ k h₁ h₂,
by rw ← nat.sub_add_cancel h₂; exact
add_le_add_right (nat.sub_le_sub_right h₁ _) _
theorem sub_add_min (n m : ℕ) : n - m + min n m = n :=
(le_total n m).elim
(λ h, by rw [min_eq_left h, sub_eq_zero_of_le h, zero_add])
(λ h, by rw [min_eq_right h, nat.sub_add_cancel h])
protected theorem add_sub_cancel' {n m : ℕ} (h : n ≥ m) : m + (n - m) = n :=
by rw [add_comm, nat.sub_add_cancel h]
protected theorem sub_eq_of_eq_add (h : k = m + n) : k - m = n :=
begin rw [h, nat.add_sub_cancel_left] end
theorem sub_min (n m : ℕ) : n - min n m = n - m :=
nat.sub_eq_of_eq_add $ by rw [add_comm, sub_add_min]
protected theorem lt_of_sub_pos (h : n - m > 0) : m < n :=
lt_of_not_ge
(assume : m ≥ n,
have n - m = 0, from sub_eq_zero_of_le this,
begin rw this at h, exact lt_irrefl _ h end)
protected theorem lt_of_sub_lt_sub_right : m - k < n - k → m < n :=
le_imp_le_iff_lt_imp_lt.1 (λ h, nat.sub_le_sub_right h _)
protected theorem lt_of_sub_lt_sub_left : m - n < m - k → k < n :=
le_imp_le_iff_lt_imp_lt.1 (nat.sub_le_sub_left _)
protected theorem sub_lt_self (h₁ : m > 0) (h₂ : n > 0) : m - n < m :=
calc
m - n = succ (pred m) - succ (pred n) : by rw [succ_pred_eq_of_pos h₁, succ_pred_eq_of_pos h₂]
... = pred m - pred n : by rw succ_sub_succ
... ≤ pred m : sub_le _ _
... < succ (pred m) : lt_succ_self _
... = m : succ_pred_eq_of_pos h₁
protected theorem le_sub_right_of_add_le (h : m + k ≤ n) : m ≤ n - k :=
by rw ← nat.add_sub_cancel m k; exact nat.sub_le_sub_right h k
protected theorem le_sub_left_of_add_le (h : k + m ≤ n) : m ≤ n - k :=
nat.le_sub_right_of_add_le (by rwa add_comm at h)
protected theorem lt_sub_right_of_add_lt (h : m + k < n) : m < n - k :=
lt_of_succ_le $ nat.le_sub_right_of_add_le $
by rw succ_add; exact succ_le_of_lt h
protected theorem lt_sub_left_of_add_lt (h : k + m < n) : m < n - k :=
nat.lt_sub_right_of_add_lt (by rwa add_comm at h)
protected theorem add_lt_of_lt_sub_right (h : m < n - k) : m + k < n :=
@nat.lt_of_sub_lt_sub_right _ _ k (by rwa nat.add_sub_cancel)
protected theorem add_lt_of_lt_sub_left (h : m < n - k) : k + m < n :=
by rw add_comm; exact nat.add_lt_of_lt_sub_right h
protected theorem le_add_of_sub_le_right : n - k ≤ m → n ≤ m + k :=
le_imp_le_iff_lt_imp_lt.2 nat.lt_sub_right_of_add_lt
protected theorem le_add_of_sub_le_left : n - k ≤ m → n ≤ k + m :=
le_imp_le_iff_lt_imp_lt.2 nat.lt_sub_left_of_add_lt
protected theorem lt_add_of_sub_lt_right : n - k < m → n < m + k :=
le_imp_le_iff_lt_imp_lt.1 nat.le_sub_right_of_add_le
protected theorem lt_add_of_sub_lt_left : n - k < m → n < k + m :=
le_imp_le_iff_lt_imp_lt.1 nat.le_sub_left_of_add_le
protected theorem sub_le_left_of_le_add : n ≤ k + m → n - k ≤ m :=
le_imp_le_iff_lt_imp_lt.2 nat.add_lt_of_lt_sub_left
protected theorem sub_le_right_of_le_add : n ≤ m + k → n - k ≤ m :=
le_imp_le_iff_lt_imp_lt.2 nat.add_lt_of_lt_sub_right
protected theorem sub_lt_left_iff_lt_add (H : n ≤ k) : k - n < m ↔ k < n + m :=
⟨nat.lt_add_of_sub_lt_left,
λ h₁,
have succ k ≤ n + m, from succ_le_of_lt h₁,
have succ (k - n) ≤ m, from
calc succ (k - n) = succ k - n : by rw (succ_sub H)
... ≤ n + m - n : nat.sub_le_sub_right this n
... = m : by rw nat.add_sub_cancel_left,
lt_of_succ_le this⟩
protected theorem le_sub_left_iff_add_le (H : m ≤ k) : n ≤ k - m ↔ m + n ≤ k :=
le_iff_le_iff_lt_iff_lt.2 (nat.sub_lt_left_iff_lt_add H)
protected theorem le_sub_right_iff_add_le (H : n ≤ k) : m ≤ k - n ↔ m + n ≤ k :=
by rw [nat.le_sub_left_iff_add_le H, add_comm]
protected theorem lt_sub_left_iff_add_lt (H : m ≤ k) : n < k - m ↔ m + n < k :=
⟨λ h, by have := nat.add_le_add_left h m;
rwa [nat.add_sub_cancel' H] at this,
nat.lt_sub_left_of_add_lt⟩
protected theorem lt_sub_right_iff_add_lt (H : n ≤ k) : m < k - n ↔ m + n < k :=
by rw [nat.lt_sub_left_iff_add_lt H, add_comm]
theorem sub_le_left_iff_le_add (H : n ≤ m) : m - n ≤ k ↔ m ≤ n + k :=
le_iff_le_iff_lt_iff_lt.2 (nat.lt_sub_left_iff_add_lt H)
theorem sub_le_right_iff_le_add (H : k ≤ m) : m - k ≤ n ↔ m ≤ n + k :=
by rw [nat.sub_le_left_iff_le_add H, add_comm]
protected theorem sub_lt_right_iff_lt_add (H : k ≤ m) : m - k < n ↔ m < n + k :=
by rw [nat.sub_lt_left_iff_lt_add H, add_comm]
protected theorem sub_le_sub_left_iff (H : k ≤ m) : m - n ≤ m - k ↔ k ≤ n :=
⟨λ h,
have k + (m - k) - n ≤ m - k, by rwa nat.add_sub_cancel' H,
nat.le_of_add_le_add_right (nat.le_add_of_sub_le_left this),
nat.sub_le_sub_left _⟩
protected theorem sub_lt_sub_right_iff (H : k ≤ m) : m - k < n - k ↔ m < n :=
le_iff_le_iff_lt_iff_lt.1 (nat.sub_le_sub_right_iff _ _ _ H)
protected theorem sub_lt_sub_left_iff (H : n ≤ m) : m - n < m - k ↔ k < n :=
le_iff_le_iff_lt_iff_lt.1 (nat.sub_le_sub_left_iff H)
protected theorem sub_le_iff (h₁ : n ≤ m) (h₂ : k ≤ m) : m - n ≤ k ↔ m - k ≤ n :=
(nat.sub_le_left_iff_le_add h₁).trans (nat.sub_le_right_iff_le_add h₂).symm
protected theorem sub_lt_iff (h₁ : n ≤ m) (h₂ : k ≤ m) : m - n < k ↔ m - k < n :=
(nat.sub_lt_left_iff_lt_add h₁).trans (nat.sub_lt_right_iff_lt_add h₂).symm
lemma lt_pred_of_succ_lt {n m : ℕ} : succ n < m → n < pred m :=
@nat.lt_sub_right_of_add_lt n m 1
protected theorem mul_ne_zero {n m : ℕ} (n0 : n ≠ 0) (m0 : m ≠ 0) : n * m ≠ 0
| nm := (eq_zero_of_mul_eq_zero nm).elim n0 m0
attribute [simp] nat.div_self
protected theorem div_le_div_right {n m : ℕ} (h : n ≤ m) {k : ℕ} : n / k ≤ m / k :=
(nat.eq_zero_or_pos k).elim (λ k0, by simp [k0]) $ λ hk,
(nat.le_div_iff_mul_le _ _ hk).2 $ le_trans (nat.div_mul_le_self _ _) h
protected theorem eq_mul_of_div_eq_right {a b c : ℕ} (H1 : b ∣ a) (H2 : a / b = c) :
a = b * c :=
by rw [← H2, nat.mul_div_cancel' H1]
protected theorem div_eq_iff_eq_mul_right {a b c : ℕ} (H : b > 0) (H' : b ∣ a) :
a / b = c ↔ a = b * c :=
⟨nat.eq_mul_of_div_eq_right H', nat.div_eq_of_eq_mul_right H⟩
protected theorem div_eq_iff_eq_mul_left {a b c : ℕ} (H : b > 0) (H' : b ∣ a) :
a / b = c ↔ a = c * b :=
by rw mul_comm; exact nat.div_eq_iff_eq_mul_right H H'
protected theorem eq_mul_of_div_eq_left {a b c : ℕ} (H1 : b ∣ a) (H2 : a / b = c) :
a = c * b :=
by rw [mul_comm, nat.eq_mul_of_div_eq_right H1 H2]
protected theorem div_mod_unique {n k m d : ℕ} (h : 0 < k) :
n / k = d ∧ n % k = m ↔ m + k * d = n ∧ m < k :=
⟨λ ⟨e₁, e₂⟩, e₁ ▸ e₂ ▸ ⟨mod_add_div _ _, mod_lt _ h⟩,
λ ⟨h₁, h₂⟩, h₁ ▸ by rw [add_mul_div_left _ _ h, add_mul_mod_self_left];
simp [div_eq_of_lt, mod_eq_of_lt, h₂]⟩
protected theorem mul_right_inj {a b c : ℕ} (ha : a > 0) : b * a = c * a ↔ b = c :=
⟨nat.eq_of_mul_eq_mul_right ha, λ e, e ▸ rfl⟩
protected theorem mul_left_inj {a b c : ℕ} (ha : a > 0) : a * b = a * c ↔ b = c :=
⟨nat.eq_of_mul_eq_mul_left ha, λ e, e ▸ rfl⟩
@[simp] protected theorem dvd_one {n : ℕ} : n ∣ 1 ↔ n = 1 :=
⟨eq_one_of_dvd_one, λ e, e.symm ▸ dvd_refl _⟩
protected theorem mul_dvd_mul_iff_left {a b c : ℕ} (ha : a > 0) : a * b ∣ a * c ↔ b ∣ c :=
exists_congr $ λ d, by rw [mul_assoc, nat.mul_left_inj ha]
protected theorem mul_dvd_mul_iff_right {a b c : ℕ} (hc : c > 0) : a * c ∣ b * c ↔ a ∣ b :=
exists_congr $ λ d, by rw [mul_right_comm, nat.mul_right_inj hc]
@[simp] theorem mod_mod (a n : ℕ) : (a % n) % n = a % n :=
(eq_zero_or_pos n).elim
(λ n0, by simp [n0])
(λ npos, mod_eq_of_lt (mod_lt _ npos))
theorem add_pos_left {m : ℕ} (h : m > 0) (n : ℕ) : m + n > 0 :=
calc
m + n > 0 + n : nat.add_lt_add_right h n
... = n : nat.zero_add n
... ≥ 0 : zero_le n
theorem add_pos_right (m : ℕ) {n : ℕ} (h : n > 0) : m + n > 0 :=
begin rw add_comm, exact add_pos_left h m end
theorem add_pos_iff_pos_or_pos (m n : ℕ) : m + n > 0 ↔ m > 0 ∨ n > 0 :=
iff.intro
begin
intro h,
cases m with m,
{simp [zero_add] at h, exact or.inr h},
exact or.inl (succ_pos _)
end
begin
intro h, cases h with mpos npos,
{ apply add_pos_left mpos },
apply add_pos_right _ npos
end
theorem succ_le_succ_iff {m n : ℕ} : succ m ≤ succ n ↔ m ≤ n :=
⟨le_of_succ_le_succ, succ_le_succ⟩
theorem lt_succ_iff {m n : ℕ} : m < succ n ↔ m ≤ n :=
succ_le_succ_iff
lemma lt_succ_iff_lt_or_eq {n i : ℕ} : n < i.succ ↔ (n < i ∨ n = i) :=
lt_succ_iff.trans le_iff_lt_or_eq
theorem le_zero_iff {i : ℕ} : i ≤ 0 ↔ i = 0 :=
⟨nat.eq_zero_of_le_zero, assume h, h ▸ le_refl i⟩
theorem le_add_one_iff {i j : ℕ} : i ≤ j + 1 ↔ (i ≤ j ∨ i = j + 1) :=
⟨assume h,
match nat.eq_or_lt_of_le h with
| or.inl h := or.inr h
| or.inr h := or.inl $ nat.le_of_succ_le_succ h
end,
or.rec (assume h, le_trans h $ nat.le_add_right _ _) le_of_eq⟩
theorem mul_self_inj {n m : ℕ} : n * n = m * m ↔ n = m :=
le_antisymm_iff.trans (le_antisymm_iff.trans
(and_congr mul_self_le_mul_self_iff mul_self_le_mul_self_iff)).symm
instance decidable_ball_lt (n : nat) (P : Π k < n, Prop) :
∀ [H : ∀ n h, decidable (P n h)], decidable (∀ n h, P n h) :=
begin
induction n with n IH; intro; resetI,
{ exact is_true (λ n, dec_trivial) },
cases IH (λ k h, P k (lt_succ_of_lt h)) with h,
{ refine is_false (mt _ h), intros hn k h, apply hn },
by_cases p : P n (lt_succ_self n),
{ exact is_true (λ k h',
(lt_or_eq_of_le $ le_of_lt_succ h').elim (h _)
(λ e, match k, e, h' with _, rfl, h := p end)) },
{ exact is_false (mt (λ hn, hn _ _) p) }
end
instance decidable_forall_fin {n : ℕ} (P : fin n → Prop)
[H : decidable_pred P] : decidable (∀ i, P i) :=
decidable_of_iff (∀ k h, P ⟨k, h⟩) ⟨λ a ⟨k, h⟩, a k h, λ a k h, a ⟨k, h⟩⟩
instance decidable_ball_le (n : ℕ) (P : Π k ≤ n, Prop)
[H : ∀ n h, decidable (P n h)] : decidable (∀ n h, P n h) :=
decidable_of_iff (∀ k (h : k < succ n), P k (le_of_lt_succ h))
⟨λ a k h, a k (lt_succ_of_le h), λ a k h, a k _⟩
instance decidable_lo_hi (lo hi : ℕ) (P : ℕ → Prop) [H : decidable_pred P] : decidable (∀x, lo ≤ x → x < hi → P x) :=
decidable_of_iff (∀ x < hi - lo, P (lo + x))
⟨λal x hl hh, by have := al (x - lo) (lt_of_not_ge $
(not_congr (nat.sub_le_sub_right_iff _ _ _ hl)).2 $ not_le_of_gt hh);
rwa [nat.add_sub_of_le hl] at this,
λal x h, al _ (nat.le_add_right _ _) (nat.add_lt_of_lt_sub_left h)⟩
instance decidable_lo_hi_le (lo hi : ℕ) (P : ℕ → Prop) [H : decidable_pred P] : decidable (∀x, lo ≤ x → x ≤ hi → P x) :=
decidable_of_iff (∀x, lo ≤ x → x < hi + 1 → P x) $
ball_congr $ λ x hl, imp_congr lt_succ_iff iff.rfl
protected theorem bit0_le {n m : ℕ} (h : n ≤ m) : bit0 n ≤ bit0 m :=
add_le_add h h
protected theorem bit1_le {n m : ℕ} (h : n ≤ m) : bit1 n ≤ bit1 m :=
succ_le_succ (add_le_add h h)
theorem bit_le : ∀ (b : bool) {n m : ℕ}, n ≤ m → bit b n ≤ bit b m
| tt n m h := nat.bit1_le h
| ff n m h := nat.bit0_le h
theorem bit_ne_zero (b) {n} (h : n ≠ 0) : bit b n ≠ 0 :=
by cases b; [exact nat.bit0_ne_zero h, exact nat.bit1_ne_zero _]
theorem bit0_le_bit : ∀ (b) {m n : ℕ}, m ≤ n → bit0 m ≤ bit b n
| tt m n h := le_of_lt $ nat.bit0_lt_bit1 h
| ff m n h := nat.bit0_le h
theorem bit_le_bit1 : ∀ (b) {m n : ℕ}, m ≤ n → bit b m ≤ bit1 n
| ff m n h := le_of_lt $ nat.bit0_lt_bit1 h
| tt m n h := nat.bit1_le h
theorem bit_lt_bit0 : ∀ (b) {n m : ℕ}, n < m → bit b n < bit0 m
| tt n m h := nat.bit1_lt_bit0 h
| ff n m h := nat.bit0_lt h
theorem bit_lt_bit (a b) {n m : ℕ} (h : n < m) : bit a n < bit b m :=
lt_of_lt_of_le (bit_lt_bit0 _ h) (bit0_le_bit _ (le_refl _))
/- partial subtraction -/
/-- Partial predecessor operation. Returns `ppred n = some m`
if `n = m + 1`, otherwise `none`. -/
@[simp] def ppred : ℕ → option ℕ
| 0 := none
| (n+1) := some n
/-- Partial subtraction operation. Returns `psub m n = some k`
if `m = n + k`, otherwise `none`. -/
@[simp] def psub (m : ℕ) : ℕ → option ℕ
| 0 := some m
| (n+1) := psub n >>= ppred
theorem pred_eq_ppred (n : ℕ) : pred n = (ppred n).get_or_else 0 :=
by cases n; refl
theorem sub_eq_psub (m : ℕ) : ∀ n, m - n = (psub m n).get_or_else 0
| 0 := rfl
| (n+1) := (pred_eq_ppred (m-n)).trans $
by rw [sub_eq_psub, psub]; cases psub m n; refl
@[simp] theorem ppred_eq_some {m : ℕ} : ∀ {n}, ppred n = some m ↔ succ m = n
| 0 := by split; intro h; contradiction
| (n+1) := by dsimp; split; intro h; injection h; subst n
@[simp] theorem ppred_eq_none : ∀ {n : ℕ}, ppred n = none ↔ n = 0
| 0 := by simp
| (n+1) := by dsimp; split; contradiction
theorem psub_eq_some {m : ℕ} : ∀ {n k}, psub m n = some k ↔ k + n = m
| 0 k := by simp [eq_comm]
| (n+1) k := by dsimp; apply option.bind_eq_some.trans; simp [psub_eq_some]
theorem psub_eq_none (m n : ℕ) : psub m n = none ↔ m < n :=
begin
cases s : psub m n; simp [eq_comm],
{ show m < n, refine lt_of_not_ge (λ h, _),
cases le.dest h with k e,
injection s.symm.trans (psub_eq_some.2 $ (add_comm _ _).trans e) },
{ show n ≤ m, rw ← psub_eq_some.1 s, apply le_add_left }
end
theorem ppred_eq_pred {n} (h : 0 < n) : ppred n = some (pred n) :=
ppred_eq_some.2 $ succ_pred_eq_of_pos h
theorem psub_eq_sub {m n} (h : n ≤ m) : psub m n = some (m - n) :=
psub_eq_some.2 $ nat.sub_add_cancel h
theorem psub_add (m n k) : psub m (n + k) = do x ← psub m n, psub x k :=
by induction k; simp [*, add_succ, bind_assoc]
/- pow -/
theorem pow_add (a m n : ℕ) : a^(m + n) = a^m * a^n :=
by induction n; simp [*, pow_succ, mul_assoc]
theorem pow_dvd_pow (a : ℕ) {m n : ℕ} (h : m ≤ n) : a^m ∣ a^n :=
by rw [← nat.add_sub_cancel' h, pow_add]; apply dvd_mul_right
@[simp] theorem bodd_div2_eq (n : ℕ) : bodd_div2 n = (bodd n, div2 n) :=
by unfold bodd div2; cases bodd_div2 n; refl
@[simp] lemma bodd_bit0 (n) : bodd (bit0 n) = ff := bodd_bit ff n
@[simp] lemma bodd_bit1 (n) : bodd (bit1 n) = tt := bodd_bit tt n
@[simp] lemma div2_bit0 (n) : div2 (bit0 n) = n := div2_bit ff n
@[simp] lemma div2_bit1 (n) : div2 (bit1 n) = n := div2_bit tt n
/- iterate -/
section
variables {α : Sort*} (op : α → α)
@[simp] theorem iterate_zero (a : α) : op^[0] a = a := rfl
@[simp] theorem iterate_succ (n : ℕ) (a : α) : op^[succ n] a = (op^[n]) (op a) := rfl
theorem iterate_add : ∀ (m n : ℕ) (a : α), op^[m + n] a = (op^[m]) (op^[n] a)
| m 0 a := rfl
| m (succ n) a := iterate_add m n _
theorem iterate_succ' (n : ℕ) (a : α) : op^[succ n] a = op (op^[n] a) :=
by rw [← one_add, iterate_add]; refl
end
/- size and shift -/
theorem shiftl'_ne_zero_left (b) {m} (h : m ≠ 0) (n) : shiftl' b m n ≠ 0 :=
by induction n; simp [shiftl', bit_ne_zero, *]
theorem shiftl'_tt_ne_zero (m) : ∀ {n} (h : n ≠ 0), shiftl' tt m n ≠ 0
| 0 h := absurd rfl h
| (succ n) _ := nat.bit1_ne_zero _
@[simp] theorem size_zero : size 0 = 0 := rfl
@[simp] theorem size_bit {b n} (h : bit b n ≠ 0) : size (bit b n) = succ (size n) :=
begin
rw size,
conv { to_lhs, rw [binary_rec], simp [h] },
rw div2_bit, refl
end
@[simp] theorem size_bit0 {n} (h : n ≠ 0) : size (bit0 n) = succ (size n) :=
@size_bit ff n (nat.bit0_ne_zero h)
@[simp] theorem size_bit1 (n) : size (bit1 n) = succ (size n) :=
@size_bit tt n (nat.bit1_ne_zero n)
@[simp] theorem size_one : size 1 = 1 := by apply size_bit1 0
@[simp] theorem size_shiftl' {b m n} (h : shiftl' b m n ≠ 0) :
size (shiftl' b m n) = size m + n :=
begin
induction n with n IH; simp [shiftl'] at h ⊢,
rw [size_bit h, nat.add_succ],
by_cases s0 : shiftl' b m n = 0; [skip, rw [IH s0]],
rw s0 at h ⊢,
cases b, {exact absurd rfl h},
have : shiftl' tt m n + 1 = 1 := congr_arg (+1) s0,
rw [shiftl'_tt_eq_mul_pow] at this,
have m0 := succ_inj (eq_one_of_dvd_one ⟨_, this.symm⟩),
subst m0,
simp at this,
have : n = 0 := eq_zero_of_le_zero (le_of_not_gt $ λ hn,
ne_of_gt (pow_lt_pow_of_lt_right dec_trivial hn) this),
subst n, refl
end
@[simp] theorem size_shiftl {m} (h : m ≠ 0) (n) :
size (shiftl m n) = size m + n :=
size_shiftl' (shiftl'_ne_zero_left _ h _)
theorem lt_size_self (n : ℕ) : n < 2^size n :=
begin
rw [← one_shiftl],
have : ∀ {n}, n = 0 → n < shiftl 1 (size n) :=
λ n e, by subst e; exact dec_trivial,
apply binary_rec _ _ n, {apply this rfl},
intros b n IH,
by_cases bit b n = 0, {apply this h},
rw [size_bit h, shiftl_succ],
exact bit_lt_bit0 _ IH
end
theorem size_le {m n : ℕ} : size m ≤ n ↔ m < 2^n :=
⟨λ h, lt_of_lt_of_le (lt_size_self _) (pow_le_pow_of_le_right dec_trivial h),
begin
rw [← one_shiftl], revert n,
apply binary_rec _ _ m,
{ intros n h, apply zero_le },
{ intros b m IH n h,
by_cases e : bit b m = 0, { rw e, apply zero_le },
rw [size_bit e],
cases n with n,
{ exact e.elim (eq_zero_of_le_zero (le_of_lt_succ h)) },
{ apply succ_le_succ (IH _),
apply le_imp_le_iff_lt_imp_lt.1 (λ h', bit0_le_bit _ h') h } }
end⟩
theorem lt_size {m n : ℕ} : m < size n ↔ 2^m ≤ n :=
by rw [← not_lt, iff_not_comm, not_lt, size_le]
theorem size_pos {n : ℕ} : 0 < size n ↔ 0 < n :=
by rw lt_size; refl
theorem size_eq_zero {n : ℕ} : size n = 0 ↔ n = 0 :=
by have := @size_pos n; simp [pos_iff_ne_zero'] at this;
exact not_iff_not.1 this
theorem size_pow {n : ℕ} : size (2^n) = n+1 :=
le_antisymm
(size_le.2 $ pow_lt_pow_of_lt_right dec_trivial (lt_succ_self _))
(lt_size.2 $ le_refl _)
theorem size_le_size {m n : ℕ} (h : m ≤ n) : size m ≤ size n :=
size_le.2 $ lt_of_le_of_lt h (lt_size_self _)
/- factorial -/
/-- `fact n` is the factorial of `n`. -/
@[simp] def fact : nat → nat
| 0 := 1
| (succ n) := succ n * fact n
@[simp] theorem fact_zero : fact 0 = 1 := rfl
@[simp] theorem fact_one : fact 1 = 1 := rfl
@[simp] theorem fact_succ (n) : fact (succ n) = succ n * fact n := rfl
theorem fact_pos : ∀ n, fact n > 0
| 0 := zero_lt_one
| (succ n) := mul_pos (succ_pos _) (fact_pos n)
theorem fact_ne_zero (n : ℕ) : fact n ≠ 0 := ne_of_gt (fact_pos _)
theorem fact_dvd_fact {m n} (h : m ≤ n) : fact m ∣ fact n :=
begin
induction n with n IH; simp,
{ have := eq_zero_of_le_zero h, subst m, simp },
{ cases eq_or_lt_of_le h with he hl,
{ subst m, simp },
{ apply dvd_mul_of_dvd_right (IH (le_of_lt_succ hl)) } }
end
theorem dvd_fact : ∀ {m n}, m > 0 → m ≤ n → m ∣ fact n
| (succ m) n _ h := dvd_of_mul_right_dvd (fact_dvd_fact h)
theorem fact_le {m n} (h : m ≤ n) : fact m ≤ fact n :=
le_of_dvd (fact_pos _) (fact_dvd_fact h)
end nat
|
fc583a3ece3c88e6bcc5e583385f226ccf61f5d5 | 8cae430f0a71442d02dbb1cbb14073b31048e4b0 | /src/measure_theory/decomposition/radon_nikodym.lean | a6cfab57e8e65679a5625470610ea2755342c358 | [
"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 | 5,013 | lean | /-
Copyright (c) 2021 Kexing Ying. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Kexing Ying
-/
import measure_theory.decomposition.lebesgue
/-!
# Radon-Nikodym theorem
> THIS FILE IS SYNCHRONIZED WITH MATHLIB4.
> Any changes to this file require a corresponding PR to mathlib4.
This file proves the Radon-Nikodym theorem. The Radon-Nikodym theorem states that, given measures
`μ, ν`, if `have_lebesgue_decomposition μ ν`, then `μ` is absolutely continuous with respect to
`ν` if and only if there exists a measurable function `f : α → ℝ≥0∞` such that `μ = fν`.
In particular, we have `f = rn_deriv μ ν`.
The Radon-Nikodym theorem will allow us to define many important concepts in probability theory,
most notably probability cumulative functions. It could also be used to define the conditional
expectation of a real function, but we take a different approach (see the file
`measure_theory/function/conditional_expectation`).
## Main results
* `measure_theory.measure.absolutely_continuous_iff_with_density_rn_deriv_eq` :
the Radon-Nikodym theorem
* `measure_theory.signed_measure.absolutely_continuous_iff_with_density_rn_deriv_eq` :
the Radon-Nikodym theorem for signed measures
## Tags
Radon-Nikodym theorem
-/
noncomputable theory
open_locale classical measure_theory nnreal ennreal
variables {α β : Type*} {m : measurable_space α}
namespace measure_theory
namespace measure
include m
lemma with_density_rn_deriv_eq
(μ ν : measure α) [have_lebesgue_decomposition μ ν] (h : μ ≪ ν) :
ν.with_density (rn_deriv μ ν) = μ :=
begin
obtain ⟨hf₁, ⟨E, hE₁, hE₂, hE₃⟩, hadd⟩:= have_lebesgue_decomposition_spec μ ν,
have : singular_part μ ν = 0,
{ refine le_antisymm (λ A hA, _) (measure.zero_le _),
suffices : singular_part μ ν set.univ = 0,
{ rw [measure.coe_zero, pi.zero_apply, ← this],
exact measure_mono (set.subset_univ _) },
rw [← measure_add_measure_compl hE₁, hE₂, zero_add],
have : (singular_part μ ν + ν.with_density (rn_deriv μ ν)) Eᶜ = μ Eᶜ,
{ rw ← hadd },
rw [measure.coe_add, pi.add_apply, h hE₃] at this,
exact (add_eq_zero_iff.1 this).1 },
rw [this, zero_add] at hadd,
exact hadd.symm
end
/-- **The Radon-Nikodym theorem**: Given two measures `μ` and `ν`, if
`have_lebesgue_decomposition μ ν`, then `μ` is absolutely continuous to `ν` if and only if
`ν.with_density (rn_deriv μ ν) = μ`. -/
theorem absolutely_continuous_iff_with_density_rn_deriv_eq
{μ ν : measure α} [have_lebesgue_decomposition μ ν] :
μ ≪ ν ↔ ν.with_density (rn_deriv μ ν) = μ :=
⟨with_density_rn_deriv_eq μ ν, λ h, h ▸ with_density_absolutely_continuous _ _⟩
lemma with_density_rn_deriv_to_real_eq {μ ν : measure α} [is_finite_measure μ]
[have_lebesgue_decomposition μ ν] (h : μ ≪ ν) {i : set α} (hi : measurable_set i) :
∫ x in i, (μ.rn_deriv ν x).to_real ∂ν = (μ i).to_real :=
begin
rw [integral_to_real, ← with_density_apply _ hi,
with_density_rn_deriv_eq μ ν h],
{ measurability },
{ refine ae_lt_top (μ.measurable_rn_deriv ν)
(lt_of_le_of_lt (lintegral_mono_set i.subset_univ) _).ne,
rw [← with_density_apply _ measurable_set.univ,
with_density_rn_deriv_eq μ ν h],
exact measure_lt_top _ _ },
end
end measure
namespace signed_measure
include m
open measure vector_measure
theorem with_densityᵥ_rn_deriv_eq
(s : signed_measure α) (μ : measure α) [sigma_finite μ]
(h : s ≪ᵥ μ.to_ennreal_vector_measure) :
μ.with_densityᵥ (s.rn_deriv μ) = s :=
begin
rw [absolutely_continuous_ennreal_iff,
(_ : μ.to_ennreal_vector_measure.ennreal_to_measure = μ),
total_variation_absolutely_continuous_iff] at h,
{ ext1 i hi,
rw [with_densityᵥ_apply (integrable_rn_deriv _ _) hi,
rn_deriv, integral_sub,
with_density_rn_deriv_to_real_eq h.1 hi,
with_density_rn_deriv_to_real_eq h.2 hi],
{ conv_rhs { rw ← s.to_signed_measure_to_jordan_decomposition },
erw vector_measure.sub_apply,
rw [to_signed_measure_apply_measurable hi, to_signed_measure_apply_measurable hi] },
all_goals { rw ← integrable_on_univ,
refine integrable_on.restrict _ measurable_set.univ,
refine ⟨_, has_finite_integral_to_real_of_lintegral_ne_top _⟩,
{ apply measurable.ae_strongly_measurable,
measurability },
{ rw set_lintegral_univ,
exact (lintegral_rn_deriv_lt_top _ _).ne } } },
{ exact equiv_measure.right_inv μ }
end
/-- The Radon-Nikodym theorem for signed measures. -/
theorem absolutely_continuous_iff_with_densityᵥ_rn_deriv_eq
(s : signed_measure α) (μ : measure α) [sigma_finite μ] :
s ≪ᵥ μ.to_ennreal_vector_measure ↔
μ.with_densityᵥ (s.rn_deriv μ) = s :=
⟨with_densityᵥ_rn_deriv_eq s μ,
λ h, h ▸ with_densityᵥ_absolutely_continuous _ _⟩
end signed_measure
end measure_theory
|
37b37a6d8c864f3b6417853b277c40da85fd5ee2 | 9dc8cecdf3c4634764a18254e94d43da07142918 | /src/topology/metric_space/emetric_space.lean | 3a65a7af6808db1ab7716e861e3359103d5931a1 | [
"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 | 49,310 | lean | /-
Copyright (c) 2015, 2017 Jeremy Avigad. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Jeremy Avigad, Robert Y. Lewis, Johannes Hölzl, Mario Carneiro, Sébastien Gouëzel
-/
import data.nat.interval
import data.real.ennreal
import topology.uniform_space.pi
import topology.uniform_space.uniform_convergence
import topology.uniform_space.uniform_embedding
/-!
# Extended metric spaces
This file is devoted to the definition and study of `emetric_spaces`, i.e., metric
spaces in which the distance is allowed to take the value ∞. This extended distance is
called `edist`, and takes values in `ℝ≥0∞`.
Many definitions and theorems expected on emetric spaces are already introduced on uniform spaces
and topological spaces. For example: open and closed sets, compactness, completeness, continuity and
uniform continuity.
The class `emetric_space` therefore extends `uniform_space` (and `topological_space`).
Since a lot of elementary properties don't require `eq_of_edist_eq_zero` we start setting up the
theory of `pseudo_emetric_space`, where we don't require `edist x y = 0 → x = y` and we specialize
to `emetric_space` at the end.
-/
open set filter classical
noncomputable theory
open_locale uniformity topological_space big_operators filter nnreal ennreal
universes u v w
variables {α : Type u} {β : Type v} {X : Type*}
/-- Characterizing uniformities associated to a (generalized) distance function `D`
in terms of the elements of the uniformity. -/
theorem uniformity_dist_of_mem_uniformity [linear_order β] {U : filter (α × α)} (z : β)
(D : α → α → β) (H : ∀ s, s ∈ U ↔ ∃ε>z, ∀{a b:α}, D a b < ε → (a, b) ∈ s) :
U = ⨅ ε>z, 𝓟 {p:α×α | D p.1 p.2 < ε} :=
le_antisymm
(le_infi $ λ ε, le_infi $ λ ε0, le_principal_iff.2 $ (H _).2 ⟨ε, ε0, λ a b, id⟩)
(λ r ur, let ⟨ε, ε0, h⟩ := (H _).1 ur in
mem_infi_of_mem ε $ mem_infi_of_mem ε0 $ mem_principal.2 $ λ ⟨a, b⟩, h)
/-- `has_edist α` means that `α` is equipped with an extended distance. -/
class has_edist (α : Type*) := (edist : α → α → ℝ≥0∞)
export has_edist (edist)
/-- Creating a uniform space from an extended distance. -/
def uniform_space_of_edist
(edist : α → α → ℝ≥0∞)
(edist_self : ∀ x : α, edist x x = 0)
(edist_comm : ∀ x y : α, edist x y = edist y x)
(edist_triangle : ∀ x y z : α, edist x z ≤ edist x y + edist y z) : uniform_space α :=
uniform_space.of_core
{ uniformity := (⨅ ε>0, 𝓟 {p:α×α | edist p.1 p.2 < ε}),
refl := le_infi $ assume ε, le_infi $
by simp [set.subset_def, id_rel, edist_self, (>)] {contextual := tt},
comp :=
le_infi $ assume ε, le_infi $ assume h,
have (2 : ℝ≥0∞) = (2 : ℕ) := by simp,
have A : 0 < ε / 2 := ennreal.div_pos_iff.2
⟨ne_of_gt h, by { convert ennreal.nat_ne_top 2 }⟩,
lift'_le
(mem_infi_of_mem (ε / 2) $ mem_infi_of_mem A (subset.refl _)) $
have ∀ (a b c : α), edist a c < ε / 2 → edist c b < ε / 2 → edist a b < ε,
from assume a b c hac hcb,
calc edist a b ≤ edist a c + edist c b : edist_triangle _ _ _
... < ε / 2 + ε / 2 : ennreal.add_lt_add hac hcb
... = ε : by rw [ennreal.add_halves],
by simpa [comp_rel],
symm := tendsto_infi.2 $ assume ε, tendsto_infi.2 $ assume h,
tendsto_infi' ε $ tendsto_infi' h $ tendsto_principal_principal.2 $ by simp [edist_comm] }
-- the uniform structure is embedded in the emetric space structure
-- to avoid instance diamond issues. See Note [forgetful inheritance].
/-- Extended (pseudo) metric spaces, with an extended distance `edist` possibly taking the
value ∞
Each pseudo_emetric space induces a canonical `uniform_space` and hence a canonical
`topological_space`.
This is enforced in the type class definition, by extending the `uniform_space` structure. When
instantiating a `pseudo_emetric_space` structure, the uniformity fields are not necessary, they
will be filled in by default. There is a default value for the uniformity, that can be substituted
in cases of interest, for instance when instantiating a `pseudo_emetric_space` structure
on a product.
Continuity of `edist` is proved in `topology.instances.ennreal`
-/
class pseudo_emetric_space (α : Type u) extends has_edist α : Type u :=
(edist_self : ∀ x : α, edist x x = 0)
(edist_comm : ∀ x y : α, edist x y = edist y x)
(edist_triangle : ∀ x y z : α, edist x z ≤ edist x y + edist y z)
(to_uniform_space : uniform_space α :=
uniform_space_of_edist edist edist_self edist_comm edist_triangle)
(uniformity_edist : 𝓤 α = ⨅ ε>0, 𝓟 {p:α×α | edist p.1 p.2 < ε} . control_laws_tac)
attribute [priority 100, instance] pseudo_emetric_space.to_uniform_space
/- Pseudoemetric spaces are less common than metric spaces. Therefore, we work in a dedicated
namespace, while notions associated to metric spaces are mostly in the root namespace. -/
variables [pseudo_emetric_space α]
export pseudo_emetric_space (edist_self edist_comm edist_triangle)
attribute [simp] edist_self
/-- Triangle inequality for the extended distance -/
theorem edist_triangle_left (x y z : α) : edist x y ≤ edist z x + edist z y :=
by rw edist_comm z; apply edist_triangle
theorem edist_triangle_right (x y z : α) : edist x y ≤ edist x z + edist y z :=
by rw edist_comm y; apply edist_triangle
lemma edist_triangle4 (x y z t : α) :
edist x t ≤ edist x y + edist y z + edist z t :=
calc
edist x t ≤ edist x z + edist z t : edist_triangle x z t
... ≤ (edist x y + edist y z) + edist z t : add_le_add_right (edist_triangle x y z) _
/-- The triangle (polygon) inequality for sequences of points; `finset.Ico` version. -/
lemma edist_le_Ico_sum_edist (f : ℕ → α) {m n} (h : m ≤ n) :
edist (f m) (f n) ≤ ∑ i in finset.Ico m n, edist (f i) (f (i + 1)) :=
begin
revert n,
refine nat.le_induction _ _,
{ simp only [finset.sum_empty, finset.Ico_self, edist_self],
-- TODO: Why doesn't Lean close this goal automatically? `exact le_rfl` fails too.
exact le_refl (0:ℝ≥0∞) },
{ assume n hn hrec,
calc edist (f m) (f (n+1)) ≤ edist (f m) (f n) + edist (f n) (f (n+1)) : edist_triangle _ _ _
... ≤ ∑ i in finset.Ico m n, _ + _ : add_le_add hrec le_rfl
... = ∑ i in finset.Ico m (n+1), _ :
by rw [nat.Ico_succ_right_eq_insert_Ico hn, finset.sum_insert, add_comm]; simp }
end
/-- The triangle (polygon) inequality for sequences of points; `finset.range` version. -/
lemma edist_le_range_sum_edist (f : ℕ → α) (n : ℕ) :
edist (f 0) (f n) ≤ ∑ i in finset.range n, edist (f i) (f (i + 1)) :=
nat.Ico_zero_eq_range ▸ edist_le_Ico_sum_edist f (nat.zero_le n)
/-- A version of `edist_le_Ico_sum_edist` with each intermediate distance replaced
with an upper estimate. -/
lemma edist_le_Ico_sum_of_edist_le {f : ℕ → α} {m n} (hmn : m ≤ n)
{d : ℕ → ℝ≥0∞} (hd : ∀ {k}, m ≤ k → k < n → edist (f k) (f (k + 1)) ≤ d k) :
edist (f m) (f n) ≤ ∑ i in finset.Ico m n, d i :=
le_trans (edist_le_Ico_sum_edist f hmn) $
finset.sum_le_sum $ λ k hk, hd (finset.mem_Ico.1 hk).1 (finset.mem_Ico.1 hk).2
/-- A version of `edist_le_range_sum_edist` with each intermediate distance replaced
with an upper estimate. -/
lemma edist_le_range_sum_of_edist_le {f : ℕ → α} (n : ℕ)
{d : ℕ → ℝ≥0∞} (hd : ∀ {k}, k < n → edist (f k) (f (k + 1)) ≤ d k) :
edist (f 0) (f n) ≤ ∑ i in finset.range n, d i :=
nat.Ico_zero_eq_range ▸ edist_le_Ico_sum_of_edist_le (zero_le n) (λ _ _, hd)
/-- Reformulation of the uniform structure in terms of the extended distance -/
theorem uniformity_pseudoedist :
𝓤 α = ⨅ ε>0, 𝓟 {p:α×α | edist p.1 p.2 < ε} :=
pseudo_emetric_space.uniformity_edist
theorem uniformity_basis_edist :
(𝓤 α).has_basis (λ ε : ℝ≥0∞, 0 < ε) (λ ε, {p:α×α | edist p.1 p.2 < ε}) :=
(@uniformity_pseudoedist α _).symm ▸ has_basis_binfi_principal
(λ r hr p hp, ⟨min r p, lt_min hr hp,
λ x hx, lt_of_lt_of_le hx (min_le_left _ _),
λ x hx, lt_of_lt_of_le hx (min_le_right _ _)⟩)
⟨1, ennreal.zero_lt_one⟩
/-- Characterization of the elements of the uniformity in terms of the extended distance -/
theorem mem_uniformity_edist {s : set (α×α)} :
s ∈ 𝓤 α ↔ (∃ε>0, ∀{a b:α}, edist a b < ε → (a, b) ∈ s) :=
uniformity_basis_edist.mem_uniformity_iff
/-- Given `f : β → ℝ≥0∞`, if `f` sends `{i | p i}` to a set of positive numbers
accumulating to zero, then `f i`-neighborhoods of the diagonal form a basis of `𝓤 α`.
For specific bases see `uniformity_basis_edist`, `uniformity_basis_edist'`,
`uniformity_basis_edist_nnreal`, and `uniformity_basis_edist_inv_nat`. -/
protected theorem emetric.mk_uniformity_basis {β : Type*} {p : β → Prop} {f : β → ℝ≥0∞}
(hf₀ : ∀ x, p x → 0 < f x) (hf : ∀ ε, 0 < ε → ∃ x (hx : p x), f x ≤ ε) :
(𝓤 α).has_basis p (λ x, {p:α×α | edist p.1 p.2 < f x}) :=
begin
refine ⟨λ s, uniformity_basis_edist.mem_iff.trans _⟩,
split,
{ rintros ⟨ε, ε₀, hε⟩,
rcases hf ε ε₀ with ⟨i, hi, H⟩,
exact ⟨i, hi, λ x hx, hε $ lt_of_lt_of_le hx H⟩ },
{ exact λ ⟨i, hi, H⟩, ⟨f i, hf₀ i hi, H⟩ }
end
/-- Given `f : β → ℝ≥0∞`, if `f` sends `{i | p i}` to a set of positive numbers
accumulating to zero, then closed `f i`-neighborhoods of the diagonal form a basis of `𝓤 α`.
For specific bases see `uniformity_basis_edist_le` and `uniformity_basis_edist_le'`. -/
protected theorem emetric.mk_uniformity_basis_le {β : Type*} {p : β → Prop} {f : β → ℝ≥0∞}
(hf₀ : ∀ x, p x → 0 < f x) (hf : ∀ ε, 0 < ε → ∃ x (hx : p x), f x ≤ ε) :
(𝓤 α).has_basis p (λ x, {p:α×α | edist p.1 p.2 ≤ f x}) :=
begin
refine ⟨λ s, uniformity_basis_edist.mem_iff.trans _⟩,
split,
{ rintros ⟨ε, ε₀, hε⟩,
rcases exists_between ε₀ with ⟨ε', hε'⟩,
rcases hf ε' hε'.1 with ⟨i, hi, H⟩,
exact ⟨i, hi, λ x hx, hε $ lt_of_le_of_lt (le_trans hx H) hε'.2⟩ },
{ exact λ ⟨i, hi, H⟩, ⟨f i, hf₀ i hi, λ x hx, H (le_of_lt hx)⟩ }
end
theorem uniformity_basis_edist_le :
(𝓤 α).has_basis (λ ε : ℝ≥0∞, 0 < ε) (λ ε, {p:α×α | edist p.1 p.2 ≤ ε}) :=
emetric.mk_uniformity_basis_le (λ _, id) (λ ε ε₀, ⟨ε, ε₀, le_refl ε⟩)
theorem uniformity_basis_edist' (ε' : ℝ≥0∞) (hε' : 0 < ε') :
(𝓤 α).has_basis (λ ε : ℝ≥0∞, ε ∈ Ioo 0 ε') (λ ε, {p:α×α | edist p.1 p.2 < ε}) :=
emetric.mk_uniformity_basis (λ _, and.left)
(λ ε ε₀, let ⟨δ, hδ⟩ := exists_between hε' in
⟨min ε δ, ⟨lt_min ε₀ hδ.1, lt_of_le_of_lt (min_le_right _ _) hδ.2⟩, min_le_left _ _⟩)
theorem uniformity_basis_edist_le' (ε' : ℝ≥0∞) (hε' : 0 < ε') :
(𝓤 α).has_basis (λ ε : ℝ≥0∞, ε ∈ Ioo 0 ε') (λ ε, {p:α×α | edist p.1 p.2 ≤ ε}) :=
emetric.mk_uniformity_basis_le (λ _, and.left)
(λ ε ε₀, let ⟨δ, hδ⟩ := exists_between hε' in
⟨min ε δ, ⟨lt_min ε₀ hδ.1, lt_of_le_of_lt (min_le_right _ _) hδ.2⟩, min_le_left _ _⟩)
theorem uniformity_basis_edist_nnreal :
(𝓤 α).has_basis (λ ε : ℝ≥0, 0 < ε) (λ ε, {p:α×α | edist p.1 p.2 < ε}) :=
emetric.mk_uniformity_basis (λ _, ennreal.coe_pos.2)
(λ ε ε₀, let ⟨δ, hδ⟩ := ennreal.lt_iff_exists_nnreal_btwn.1 ε₀ in
⟨δ, ennreal.coe_pos.1 hδ.1, le_of_lt hδ.2⟩)
theorem uniformity_basis_edist_nnreal_le :
(𝓤 α).has_basis (λ ε : ℝ≥0, 0 < ε) (λ ε, {p:α×α | edist p.1 p.2 ≤ ε}) :=
emetric.mk_uniformity_basis_le (λ _, ennreal.coe_pos.2)
(λ ε ε₀, let ⟨δ, hδ⟩ := ennreal.lt_iff_exists_nnreal_btwn.1 ε₀ in
⟨δ, ennreal.coe_pos.1 hδ.1, le_of_lt hδ.2⟩)
theorem uniformity_basis_edist_inv_nat :
(𝓤 α).has_basis (λ _, true) (λ n:ℕ, {p:α×α | edist p.1 p.2 < (↑n)⁻¹}) :=
emetric.mk_uniformity_basis
(λ n _, ennreal.inv_pos.2 $ ennreal.nat_ne_top n)
(λ ε ε₀, let ⟨n, hn⟩ := ennreal.exists_inv_nat_lt (ne_of_gt ε₀) in ⟨n, trivial, le_of_lt hn⟩)
theorem uniformity_basis_edist_inv_two_pow :
(𝓤 α).has_basis (λ _, true) (λ n:ℕ, {p:α×α | edist p.1 p.2 < 2⁻¹ ^ n}) :=
emetric.mk_uniformity_basis
(λ n _, ennreal.pow_pos (ennreal.inv_pos.2 ennreal.two_ne_top) _)
(λ ε ε₀, let ⟨n, hn⟩ := ennreal.exists_inv_two_pow_lt (ne_of_gt ε₀) in ⟨n, trivial, le_of_lt hn⟩)
/-- Fixed size neighborhoods of the diagonal belong to the uniform structure -/
theorem edist_mem_uniformity {ε:ℝ≥0∞} (ε0 : 0 < ε) :
{p:α×α | edist p.1 p.2 < ε} ∈ 𝓤 α :=
mem_uniformity_edist.2 ⟨ε, ε0, λ a b, id⟩
namespace emetric
@[priority 900]
instance : is_countably_generated (𝓤 α) :=
is_countably_generated_of_seq ⟨_, uniformity_basis_edist_inv_nat.eq_infi⟩
/-- ε-δ characterization of uniform continuity on a set for pseudoemetric spaces -/
theorem uniform_continuous_on_iff [pseudo_emetric_space β] {f : α → β} {s : set α} :
uniform_continuous_on f s ↔ ∀ ε > 0, ∃ δ > 0,
∀ {a b ∈ s}, edist a b < δ → edist (f a) (f b) < ε :=
uniformity_basis_edist.uniform_continuous_on_iff uniformity_basis_edist
/-- ε-δ characterization of uniform continuity on pseudoemetric spaces -/
theorem uniform_continuous_iff [pseudo_emetric_space β] {f : α → β} :
uniform_continuous f ↔ ∀ ε > 0, ∃ δ > 0,
∀{a b:α}, edist a b < δ → edist (f a) (f b) < ε :=
uniformity_basis_edist.uniform_continuous_iff uniformity_basis_edist
/-- ε-δ characterization of uniform embeddings on pseudoemetric spaces -/
theorem uniform_embedding_iff [pseudo_emetric_space β] {f : α → β} :
uniform_embedding f ↔ function.injective f ∧ uniform_continuous f ∧
∀ δ > 0, ∃ ε > 0, ∀ {a b : α}, edist (f a) (f b) < ε → edist a b < δ :=
uniform_embedding_def'.trans $ and_congr iff.rfl $ and_congr iff.rfl
⟨λ H δ δ0, let ⟨t, tu, ht⟩ := H _ (edist_mem_uniformity δ0),
⟨ε, ε0, hε⟩ := mem_uniformity_edist.1 tu in
⟨ε, ε0, λ a b h, ht _ _ (hε h)⟩,
λ H s su, let ⟨δ, δ0, hδ⟩ := mem_uniformity_edist.1 su, ⟨ε, ε0, hε⟩ := H _ δ0 in
⟨_, edist_mem_uniformity ε0, λ a b h, hδ (hε h)⟩⟩
/-- If a map between pseudoemetric spaces is a uniform embedding then the edistance between `f x`
and `f y` is controlled in terms of the distance between `x` and `y`. -/
theorem controlled_of_uniform_embedding [pseudo_emetric_space β] {f : α → β} :
uniform_embedding f →
(∀ ε > 0, ∃ δ > 0, ∀ {a b : α}, edist a b < δ → edist (f a) (f b) < ε) ∧
(∀ δ > 0, ∃ ε > 0, ∀ {a b : α}, edist (f a) (f b) < ε → edist a b < δ) :=
begin
assume h,
exact ⟨uniform_continuous_iff.1 (uniform_embedding_iff.1 h).2.1,
(uniform_embedding_iff.1 h).2.2⟩,
end
/-- ε-δ characterization of Cauchy sequences on pseudoemetric spaces -/
protected lemma cauchy_iff {f : filter α} :
cauchy f ↔ f ≠ ⊥ ∧ ∀ ε > 0, ∃ t ∈ f, ∀ x y ∈ t, edist x y < ε :=
by rw ← ne_bot_iff; exact uniformity_basis_edist.cauchy_iff
/-- A very useful criterion to show that a space is complete is to show that all sequences
which satisfy a bound of the form `edist (u n) (u m) < B N` for all `n m ≥ N` are
converging. This is often applied for `B N = 2^{-N}`, i.e., with a very fast convergence to
`0`, which makes it possible to use arguments of converging series, while this is impossible
to do in general for arbitrary Cauchy sequences. -/
theorem complete_of_convergent_controlled_sequences (B : ℕ → ℝ≥0∞) (hB : ∀n, 0 < B n)
(H : ∀u : ℕ → α, (∀N n m : ℕ, N ≤ n → N ≤ m → edist (u n) (u m) < B N) →
∃x, tendsto u at_top (𝓝 x)) :
complete_space α :=
uniform_space.complete_of_convergent_controlled_sequences
(λ n, {p:α×α | edist p.1 p.2 < B n}) (λ n, edist_mem_uniformity $ hB n) H
/-- A sequentially complete pseudoemetric space is complete. -/
theorem complete_of_cauchy_seq_tendsto :
(∀ u : ℕ → α, cauchy_seq u → ∃a, tendsto u at_top (𝓝 a)) → complete_space α :=
uniform_space.complete_of_cauchy_seq_tendsto
/-- Expressing locally uniform convergence on a set using `edist`. -/
lemma tendsto_locally_uniformly_on_iff {ι : Type*} [topological_space β]
{F : ι → β → α} {f : β → α} {p : filter ι} {s : set β} :
tendsto_locally_uniformly_on F f p s ↔
∀ ε > 0, ∀ x ∈ s, ∃ t ∈ 𝓝[s] x, ∀ᶠ n in p, ∀ y ∈ t, edist (f y) (F n y) < ε :=
begin
refine ⟨λ H ε hε, H _ (edist_mem_uniformity hε), λ H u hu x hx, _⟩,
rcases mem_uniformity_edist.1 hu with ⟨ε, εpos, hε⟩,
rcases H ε εpos x hx with ⟨t, ht, Ht⟩,
exact ⟨t, ht, Ht.mono (λ n hs x hx, hε (hs x hx))⟩
end
/-- Expressing uniform convergence on a set using `edist`. -/
lemma tendsto_uniformly_on_iff {ι : Type*}
{F : ι → β → α} {f : β → α} {p : filter ι} {s : set β} :
tendsto_uniformly_on F f p s ↔ ∀ ε > 0, ∀ᶠ n in p, ∀ x ∈ s, edist (f x) (F n x) < ε :=
begin
refine ⟨λ H ε hε, H _ (edist_mem_uniformity hε), λ H u hu, _⟩,
rcases mem_uniformity_edist.1 hu with ⟨ε, εpos, hε⟩,
exact (H ε εpos).mono (λ n hs x hx, hε (hs x hx))
end
/-- Expressing locally uniform convergence using `edist`. -/
lemma tendsto_locally_uniformly_iff {ι : Type*} [topological_space β]
{F : ι → β → α} {f : β → α} {p : filter ι} :
tendsto_locally_uniformly F f p ↔
∀ ε > 0, ∀ (x : β), ∃ t ∈ 𝓝 x, ∀ᶠ n in p, ∀ y ∈ t, edist (f y) (F n y) < ε :=
by simp only [← tendsto_locally_uniformly_on_univ, tendsto_locally_uniformly_on_iff,
mem_univ, forall_const, exists_prop, nhds_within_univ]
/-- Expressing uniform convergence using `edist`. -/
lemma tendsto_uniformly_iff {ι : Type*}
{F : ι → β → α} {f : β → α} {p : filter ι} :
tendsto_uniformly F f p ↔ ∀ ε > 0, ∀ᶠ n in p, ∀ x, edist (f x) (F n x) < ε :=
by simp only [← tendsto_uniformly_on_univ, tendsto_uniformly_on_iff, mem_univ, forall_const]
end emetric
open emetric
/-- Auxiliary function to replace the uniformity on a pseudoemetric space with
a uniformity which is equal to the original one, but maybe not defeq.
This is useful if one wants to construct a pseudoemetric space with a
specified uniformity. See Note [forgetful inheritance] explaining why having definitionally
the right uniformity is often important.
-/
def pseudo_emetric_space.replace_uniformity {α} [U : uniform_space α] (m : pseudo_emetric_space α)
(H : @uniformity _ U = @uniformity _ pseudo_emetric_space.to_uniform_space) :
pseudo_emetric_space α :=
{ edist := @edist _ m.to_has_edist,
edist_self := edist_self,
edist_comm := edist_comm,
edist_triangle := edist_triangle,
to_uniform_space := U,
uniformity_edist := H.trans (@pseudo_emetric_space.uniformity_edist α _) }
/-- The extended pseudometric induced by a function taking values in a pseudoemetric space. -/
def pseudo_emetric_space.induced {α β} (f : α → β)
(m : pseudo_emetric_space β) : pseudo_emetric_space α :=
{ edist := λ x y, edist (f x) (f y),
edist_self := λ x, edist_self _,
edist_comm := λ x y, edist_comm _ _,
edist_triangle := λ x y z, edist_triangle _ _ _,
to_uniform_space := uniform_space.comap f m.to_uniform_space,
uniformity_edist := begin
apply @uniformity_dist_of_mem_uniformity _ _ _ _ _ (λ x y, edist (f x) (f y)),
refine λ s, mem_comap.trans _,
split; intro H,
{ rcases H with ⟨r, ru, rs⟩,
rcases mem_uniformity_edist.1 ru with ⟨ε, ε0, hε⟩,
refine ⟨ε, ε0, λ a b h, rs (hε _)⟩, exact h },
{ rcases H with ⟨ε, ε0, hε⟩,
exact ⟨_, edist_mem_uniformity ε0, λ ⟨a, b⟩, hε⟩ }
end }
/-- Pseudoemetric space instance on subsets of pseudoemetric spaces -/
instance {α : Type*} {p : α → Prop} [pseudo_emetric_space α] : pseudo_emetric_space (subtype p) :=
pseudo_emetric_space.induced coe ‹_›
/-- The extended psuedodistance on a subset of a pseudoemetric space is the restriction of
the original pseudodistance, by definition -/
theorem subtype.edist_eq {p : α → Prop} (x y : subtype p) : edist x y = edist (x : α) y := rfl
namespace mul_opposite
/-- Pseudoemetric space instance on the multiplicative opposite of a pseudoemetric space. -/
@[to_additive "Pseudoemetric space instance on the additive opposite of a pseudoemetric space."]
instance {α : Type*} [pseudo_emetric_space α] : pseudo_emetric_space αᵐᵒᵖ :=
pseudo_emetric_space.induced unop ‹_›
@[to_additive] theorem edist_unop (x y : αᵐᵒᵖ) : edist (unop x) (unop y) = edist x y := rfl
@[to_additive] theorem edist_op (x y : α) : edist (op x) (op y) = edist x y := rfl
end mul_opposite
section ulift
instance : pseudo_emetric_space (ulift α) :=
pseudo_emetric_space.induced ulift.down ‹_›
lemma ulift.edist_eq (x y : ulift α) : edist x y = edist x.down y.down := rfl
@[simp] lemma ulift.edist_up_up (x y : α) : edist (ulift.up x) (ulift.up y) = edist x y := rfl
end ulift
/-- The product of two pseudoemetric spaces, with the max distance, is an extended
pseudometric spaces. We make sure that the uniform structure thus constructed is the one
corresponding to the product of uniform spaces, to avoid diamond problems. -/
instance prod.pseudo_emetric_space_max [pseudo_emetric_space β] : pseudo_emetric_space (α × β) :=
{ edist := λ x y, max (edist x.1 y.1) (edist x.2 y.2),
edist_self := λ x, by simp,
edist_comm := λ x y, by simp [edist_comm],
edist_triangle := λ x y z, max_le
(le_trans (edist_triangle _ _ _) (add_le_add (le_max_left _ _) (le_max_left _ _)))
(le_trans (edist_triangle _ _ _) (add_le_add (le_max_right _ _) (le_max_right _ _))),
uniformity_edist := begin
refine uniformity_prod.trans _,
simp only [pseudo_emetric_space.uniformity_edist, comap_infi],
rw ← infi_inf_eq, congr, funext,
rw ← infi_inf_eq, congr, funext,
simp [inf_principal, ext_iff, max_lt_iff]
end,
to_uniform_space := prod.uniform_space }
lemma prod.edist_eq [pseudo_emetric_space β] (x y : α × β) :
edist x y = max (edist x.1 y.1) (edist x.2 y.2) :=
rfl
section pi
open finset
variables {π : β → Type*} [fintype β]
/-- The product of a finite number of pseudoemetric spaces, with the max distance, is still
a pseudoemetric space.
This construction would also work for infinite products, but it would not give rise
to the product topology. Hence, we only formalize it in the good situation of finitely many
spaces. -/
instance pseudo_emetric_space_pi [∀b, pseudo_emetric_space (π b)] :
pseudo_emetric_space (Πb, π b) :=
{ edist := λ f g, finset.sup univ (λb, edist (f b) (g b)),
edist_self := assume f, bot_unique $ finset.sup_le $ by simp,
edist_comm := assume f g, by unfold edist; congr; funext a; exact edist_comm _ _,
edist_triangle := assume f g h,
begin
simp only [finset.sup_le_iff],
assume b hb,
exact le_trans (edist_triangle _ (g b) _) (add_le_add (le_sup hb) (le_sup hb))
end,
to_uniform_space := Pi.uniform_space _,
uniformity_edist := begin
simp only [Pi.uniformity, pseudo_emetric_space.uniformity_edist, comap_infi, gt_iff_lt,
preimage_set_of_eq, comap_principal],
rw infi_comm, congr, funext ε,
rw infi_comm, congr, funext εpos,
change 0 < ε at εpos,
simp [set.ext_iff, εpos]
end }
lemma edist_pi_def [Π b, pseudo_emetric_space (π b)] (f g : Π b, π b) :
edist f g = finset.sup univ (λb, edist (f b) (g b)) := rfl
@[simp]
lemma edist_pi_const [nonempty β] (a b : α) :
edist (λ x : β, a) (λ _, b) = edist a b := finset.sup_const univ_nonempty (edist a b)
lemma edist_le_pi_edist [Π b, pseudo_emetric_space (π b)] (f g : Π b, π b) (b : β) :
edist (f b) (g b) ≤ edist f g :=
finset.le_sup (finset.mem_univ b)
lemma edist_pi_le_iff [Π b, pseudo_emetric_space (π b)] {f g : Π b, π b} {d : ℝ≥0∞} :
edist f g ≤ d ↔ ∀ b, edist (f b) (g b) ≤ d :=
finset.sup_le_iff.trans $ by simp only [finset.mem_univ, forall_const]
end pi
namespace emetric
variables {x y z : α} {ε ε₁ ε₂ : ℝ≥0∞} {s : set α}
/-- `emetric.ball x ε` is the set of all points `y` with `edist y x < ε` -/
def ball (x : α) (ε : ℝ≥0∞) : set α := {y | edist y x < ε}
@[simp] theorem mem_ball : y ∈ ball x ε ↔ edist y x < ε := iff.rfl
theorem mem_ball' : y ∈ ball x ε ↔ edist x y < ε :=
by rw [edist_comm, mem_ball]
/-- `emetric.closed_ball x ε` is the set of all points `y` with `edist y x ≤ ε` -/
def closed_ball (x : α) (ε : ℝ≥0∞) := {y | edist y x ≤ ε}
@[simp] theorem mem_closed_ball : y ∈ closed_ball x ε ↔ edist y x ≤ ε := iff.rfl
theorem mem_closed_ball' : y ∈ closed_ball x ε ↔ edist x y ≤ ε :=
by rw [edist_comm, mem_closed_ball]
@[simp] theorem closed_ball_top (x : α) : closed_ball x ∞ = univ :=
eq_univ_of_forall $ λ y, le_top
theorem ball_subset_closed_ball : ball x ε ⊆ closed_ball x ε :=
assume y hy, le_of_lt hy
theorem pos_of_mem_ball (hy : y ∈ ball x ε) : 0 < ε :=
lt_of_le_of_lt (zero_le _) hy
theorem mem_ball_self (h : 0 < ε) : x ∈ ball x ε :=
show edist x x < ε, by rw edist_self; assumption
theorem mem_closed_ball_self : x ∈ closed_ball x ε :=
show edist x x ≤ ε, by rw edist_self; exact bot_le
theorem mem_ball_comm : x ∈ ball y ε ↔ y ∈ ball x ε :=
by rw [mem_ball', mem_ball]
theorem mem_closed_ball_comm : x ∈ closed_ball y ε ↔ y ∈ closed_ball x ε :=
by rw [mem_closed_ball', mem_closed_ball]
theorem ball_subset_ball (h : ε₁ ≤ ε₂) : ball x ε₁ ⊆ ball x ε₂ :=
λ y (yx : _ < ε₁), lt_of_lt_of_le yx h
theorem closed_ball_subset_closed_ball (h : ε₁ ≤ ε₂) :
closed_ball x ε₁ ⊆ closed_ball x ε₂ :=
λ y (yx : _ ≤ ε₁), le_trans yx h
theorem ball_disjoint (h : ε₁ + ε₂ ≤ edist x y) : disjoint (ball x ε₁) (ball y ε₂) :=
λ z ⟨h₁, h₂⟩, (edist_triangle_left x y z).not_lt $ (ennreal.add_lt_add h₁ h₂).trans_le h
theorem ball_subset (h : edist x y + ε₁ ≤ ε₂) (h' : edist x y ≠ ∞) : ball x ε₁ ⊆ ball y ε₂ :=
λ z zx, calc
edist z y ≤ edist z x + edist x y : edist_triangle _ _ _
... = edist x y + edist z x : add_comm _ _
... < edist x y + ε₁ : ennreal.add_lt_add_left h' zx
... ≤ ε₂ : h
theorem exists_ball_subset_ball (h : y ∈ ball x ε) : ∃ ε' > 0, ball y ε' ⊆ ball x ε :=
begin
have : 0 < ε - edist y x := by simpa using h,
refine ⟨ε - edist y x, this, ball_subset _ (ne_top_of_lt h)⟩,
exact (add_tsub_cancel_of_le (mem_ball.mp h).le).le
end
theorem ball_eq_empty_iff : ball x ε = ∅ ↔ ε = 0 :=
eq_empty_iff_forall_not_mem.trans
⟨λh, le_bot_iff.1 (le_of_not_gt (λ ε0, h _ (mem_ball_self ε0))),
λε0 y h, not_lt_of_le (le_of_eq ε0) (pos_of_mem_ball h)⟩
lemma ord_connected_set_of_closed_ball_subset (x : α) (s : set α) :
ord_connected {r | closed_ball x r ⊆ s} :=
⟨λ r₁ hr₁ r₂ hr₂ r hr, (closed_ball_subset_closed_ball hr.2).trans hr₂⟩
lemma ord_connected_set_of_ball_subset (x : α) (s : set α) :
ord_connected {r | ball x r ⊆ s} :=
⟨λ r₁ hr₁ r₂ hr₂ r hr, (ball_subset_ball hr.2).trans hr₂⟩
/-- Relation “two points are at a finite edistance” is an equivalence relation. -/
def edist_lt_top_setoid : setoid α :=
{ r := λ x y, edist x y < ⊤,
iseqv := ⟨λ x, by { rw edist_self, exact ennreal.coe_lt_top },
λ x y h, by rwa edist_comm,
λ x y z hxy hyz, lt_of_le_of_lt (edist_triangle x y z) (ennreal.add_lt_top.2 ⟨hxy, hyz⟩)⟩ }
@[simp] lemma ball_zero : ball x 0 = ∅ :=
by rw [emetric.ball_eq_empty_iff]
theorem nhds_basis_eball : (𝓝 x).has_basis (λ ε:ℝ≥0∞, 0 < ε) (ball x) :=
nhds_basis_uniformity uniformity_basis_edist
theorem nhds_basis_closed_eball : (𝓝 x).has_basis (λ ε:ℝ≥0∞, 0 < ε) (closed_ball x) :=
nhds_basis_uniformity uniformity_basis_edist_le
theorem nhds_eq : 𝓝 x = (⨅ε>0, 𝓟 (ball x ε)) :=
nhds_basis_eball.eq_binfi
theorem mem_nhds_iff : s ∈ 𝓝 x ↔ ∃ε>0, ball x ε ⊆ s := nhds_basis_eball.mem_iff
theorem is_open_iff : is_open s ↔ ∀x∈s, ∃ε>0, ball x ε ⊆ s :=
by simp [is_open_iff_nhds, mem_nhds_iff]
theorem is_open_ball : is_open (ball x ε) :=
is_open_iff.2 $ λ y, exists_ball_subset_ball
theorem is_closed_ball_top : is_closed (ball x ⊤) :=
is_open_compl_iff.1 $ is_open_iff.2 $ λ y hy, ⟨⊤, ennreal.coe_lt_top,
(ball_disjoint $ by { rw ennreal.top_add, exact le_of_not_lt hy }).subset_compl_right⟩
theorem ball_mem_nhds (x : α) {ε : ℝ≥0∞} (ε0 : 0 < ε) : ball x ε ∈ 𝓝 x :=
is_open_ball.mem_nhds (mem_ball_self ε0)
theorem closed_ball_mem_nhds (x : α) {ε : ℝ≥0∞} (ε0 : 0 < ε) : closed_ball x ε ∈ 𝓝 x :=
mem_of_superset (ball_mem_nhds x ε0) ball_subset_closed_ball
theorem ball_prod_same [pseudo_emetric_space β] (x : α) (y : β) (r : ℝ≥0∞) :
ball x r ×ˢ ball y r = ball (x, y) r :=
ext $ λ z, max_lt_iff.symm
theorem closed_ball_prod_same [pseudo_emetric_space β] (x : α) (y : β) (r : ℝ≥0∞) :
closed_ball x r ×ˢ closed_ball y r = closed_ball (x, y) r :=
ext $ λ z, max_le_iff.symm
/-- ε-characterization of the closure in pseudoemetric spaces -/
theorem mem_closure_iff :
x ∈ closure s ↔ ∀ε>0, ∃y ∈ s, edist x y < ε :=
(mem_closure_iff_nhds_basis nhds_basis_eball).trans $
by simp only [mem_ball, edist_comm x]
theorem tendsto_nhds {f : filter β} {u : β → α} {a : α} :
tendsto u f (𝓝 a) ↔ ∀ ε > 0, ∀ᶠ x in f, edist (u x) a < ε :=
nhds_basis_eball.tendsto_right_iff
theorem tendsto_at_top [nonempty β] [semilattice_sup β] {u : β → α} {a : α} :
tendsto u at_top (𝓝 a) ↔ ∀ε>0, ∃N, ∀n≥N, edist (u n) a < ε :=
(at_top_basis.tendsto_iff nhds_basis_eball).trans $
by simp only [exists_prop, true_and, mem_Ici, mem_ball]
theorem inseparable_iff : inseparable x y ↔ edist x y = 0 :=
by simp [inseparable_iff_mem_closure, mem_closure_iff, edist_comm, forall_lt_iff_le']
/-- In a pseudoemetric space, Cauchy sequences are characterized by the fact that, eventually,
the pseudoedistance between its elements is arbitrarily small -/
@[nolint ge_or_gt] -- see Note [nolint_ge]
theorem cauchy_seq_iff [nonempty β] [semilattice_sup β] {u : β → α} :
cauchy_seq u ↔ ∀ε>0, ∃N, ∀m n≥N, edist (u m) (u n) < ε :=
uniformity_basis_edist.cauchy_seq_iff
/-- A variation around the emetric characterization of Cauchy sequences -/
theorem cauchy_seq_iff' [nonempty β] [semilattice_sup β] {u : β → α} :
cauchy_seq u ↔ ∀ε>(0 : ℝ≥0∞), ∃N, ∀n≥N, edist (u n) (u N) < ε :=
uniformity_basis_edist.cauchy_seq_iff'
/-- A variation of the emetric characterization of Cauchy sequences that deals with
`ℝ≥0` upper bounds. -/
theorem cauchy_seq_iff_nnreal [nonempty β] [semilattice_sup β] {u : β → α} :
cauchy_seq u ↔ ∀ ε : ℝ≥0, 0 < ε → ∃ N, ∀ n, N ≤ n → edist (u n) (u N) < ε :=
uniformity_basis_edist_nnreal.cauchy_seq_iff'
theorem totally_bounded_iff {s : set α} :
totally_bounded s ↔ ∀ ε > 0, ∃t : set α, t.finite ∧ s ⊆ ⋃y∈t, ball y ε :=
⟨λ H ε ε0, H _ (edist_mem_uniformity ε0),
λ H r ru, let ⟨ε, ε0, hε⟩ := mem_uniformity_edist.1 ru,
⟨t, ft, h⟩ := H ε ε0 in
⟨t, ft, h.trans $ Union₂_mono $ λ y yt z, hε⟩⟩
theorem totally_bounded_iff' {s : set α} :
totally_bounded s ↔ ∀ ε > 0, ∃t⊆s, set.finite t ∧ s ⊆ ⋃y∈t, ball y ε :=
⟨λ H ε ε0, (totally_bounded_iff_subset.1 H) _ (edist_mem_uniformity ε0),
λ H r ru, let ⟨ε, ε0, hε⟩ := mem_uniformity_edist.1 ru,
⟨t, _, ft, h⟩ := H ε ε0 in
⟨t, ft, h.trans $ Union₂_mono $ λ y yt z, hε⟩⟩
section compact
/-- For a set `s` in a pseudo emetric space, if for every `ε > 0` there exists a countable
set that is `ε`-dense in `s`, then there exists a countable subset `t ⊆ s` that is dense in `s`. -/
lemma subset_countable_closure_of_almost_dense_set (s : set α)
(hs : ∀ ε > 0, ∃ t : set α, t.countable ∧ s ⊆ ⋃ x ∈ t, closed_ball x ε) :
∃ t ⊆ s, (t.countable ∧ s ⊆ closure t) :=
begin
rcases s.eq_empty_or_nonempty with rfl|⟨x₀, hx₀⟩,
{ exact ⟨∅, empty_subset _, countable_empty, empty_subset _⟩ },
choose! T hTc hsT using (λ n : ℕ, hs n⁻¹ (by simp)),
have : ∀ r x, ∃ y ∈ s, closed_ball x r ∩ s ⊆ closed_ball y (r * 2),
{ intros r x,
rcases (closed_ball x r ∩ s).eq_empty_or_nonempty with he|⟨y, hxy, hys⟩,
{ refine ⟨x₀, hx₀, _⟩, rw he, exact empty_subset _ },
{ refine ⟨y, hys, λ z hz, _⟩,
calc edist z y ≤ edist z x + edist y x : edist_triangle_right _ _ _
... ≤ r + r : add_le_add hz.1 hxy
... = r * 2 : (mul_two r).symm } },
choose f hfs hf,
refine ⟨⋃ n : ℕ, (f n⁻¹) '' (T n), Union_subset $ λ n, image_subset_iff.2 (λ z hz, hfs _ _),
countable_Union $ λ n, (hTc n).image _, _⟩,
refine λ x hx, mem_closure_iff.2 (λ ε ε0, _),
rcases ennreal.exists_inv_nat_lt (ennreal.half_pos ε0.lt.ne').ne' with ⟨n, hn⟩,
rcases mem_Union₂.1 (hsT n hx) with ⟨y, hyn, hyx⟩,
refine ⟨f n⁻¹ y, mem_Union.2 ⟨n, mem_image_of_mem _ hyn⟩, _⟩,
calc edist x (f n⁻¹ y) ≤ n⁻¹ * 2 : hf _ _ ⟨hyx, hx⟩
... < ε : ennreal.mul_lt_of_lt_div hn
end
/-- A compact set in a pseudo emetric space is separable, i.e., it is a subset of the closure of a
countable set. -/
lemma subset_countable_closure_of_compact {s : set α} (hs : is_compact s) :
∃ t ⊆ s, (t.countable ∧ s ⊆ closure t) :=
begin
refine subset_countable_closure_of_almost_dense_set s (λ ε hε, _),
rcases totally_bounded_iff'.1 hs.totally_bounded ε hε with ⟨t, hts, htf, hst⟩,
exact ⟨t, htf.countable,
subset.trans hst $ Union₂_mono $ λ _ _, ball_subset_closed_ball⟩
end
end compact
section second_countable
open _root_.topological_space
variables (α)
/-- A sigma compact pseudo emetric space has second countable topology. This is not an instance
to avoid a loop with `sigma_compact_space_of_locally_compact_second_countable`. -/
lemma second_countable_of_sigma_compact [sigma_compact_space α] :
second_countable_topology α :=
begin
suffices : separable_space α, by exactI uniform_space.second_countable_of_separable α,
choose T hTsub hTc hsubT
using λ n, subset_countable_closure_of_compact (is_compact_compact_covering α n),
refine ⟨⟨⋃ n, T n, countable_Union hTc, λ x, _⟩⟩,
rcases Union_eq_univ_iff.1 (Union_compact_covering α) x with ⟨n, hn⟩,
exact closure_mono (subset_Union _ n) (hsubT _ hn)
end
variable {α}
lemma second_countable_of_almost_dense_set
(hs : ∀ ε > 0, ∃ t : set α, t.countable ∧ (⋃ x ∈ t, closed_ball x ε) = univ) :
second_countable_topology α :=
begin
suffices : separable_space α, by exactI uniform_space.second_countable_of_separable α,
rcases subset_countable_closure_of_almost_dense_set (univ : set α) (λ ε ε0, _)
with ⟨t, -, htc, ht⟩,
{ exact ⟨⟨t, htc, λ x, ht (mem_univ x)⟩⟩ },
{ rcases hs ε ε0 with ⟨t, htc, ht⟩,
exact ⟨t, htc, univ_subset_iff.2 ht⟩ }
end
end second_countable
section diam
/-- The diameter of a set in a pseudoemetric space, named `emetric.diam` -/
def diam (s : set α) := ⨆ (x ∈ s) (y ∈ s), edist x y
lemma diam_le_iff {d : ℝ≥0∞} :
diam s ≤ d ↔ ∀ (x ∈ s) (y ∈ s), edist x y ≤ d :=
by simp only [diam, supr_le_iff]
lemma diam_image_le_iff {d : ℝ≥0∞} {f : β → α} {s : set β} :
diam (f '' s) ≤ d ↔ ∀ (x ∈ s) (y ∈ s), edist (f x) (f y) ≤ d :=
by simp only [diam_le_iff, ball_image_iff]
lemma edist_le_of_diam_le {d} (hx : x ∈ s) (hy : y ∈ s) (hd : diam s ≤ d) : edist x y ≤ d :=
diam_le_iff.1 hd x hx y hy
/-- If two points belong to some set, their edistance is bounded by the diameter of the set -/
lemma edist_le_diam_of_mem (hx : x ∈ s) (hy : y ∈ s) : edist x y ≤ diam s :=
edist_le_of_diam_le hx hy le_rfl
/-- If the distance between any two points in a set is bounded by some constant, this constant
bounds the diameter. -/
lemma diam_le {d : ℝ≥0∞} (h : ∀ (x ∈ s) (y ∈ s), edist x y ≤ d) : diam s ≤ d := diam_le_iff.2 h
/-- The diameter of a subsingleton vanishes. -/
lemma diam_subsingleton (hs : s.subsingleton) : diam s = 0 :=
nonpos_iff_eq_zero.1 $ diam_le $
λ x hx y hy, (hs hx hy).symm ▸ edist_self y ▸ le_rfl
/-- The diameter of the empty set vanishes -/
@[simp] lemma diam_empty : diam (∅ : set α) = 0 :=
diam_subsingleton subsingleton_empty
/-- The diameter of a singleton vanishes -/
@[simp] lemma diam_singleton : diam ({x} : set α) = 0 :=
diam_subsingleton subsingleton_singleton
lemma diam_Union_mem_option {ι : Type*} (o : option ι) (s : ι → set α) :
diam (⋃ i ∈ o, s i) = ⨆ i ∈ o, diam (s i) :=
by cases o; simp
lemma diam_insert : diam (insert x s) = max (⨆ y ∈ s, edist x y) (diam s) :=
eq_of_forall_ge_iff $ λ d, by simp only [diam_le_iff, ball_insert_iff,
edist_self, edist_comm x, max_le_iff, supr_le_iff, zero_le, true_and,
forall_and_distrib, and_self, ← and_assoc]
lemma diam_pair : diam ({x, y} : set α) = edist x y :=
by simp only [supr_singleton, diam_insert, diam_singleton, ennreal.max_zero_right]
lemma diam_triple :
diam ({x, y, z} : set α) = max (max (edist x y) (edist x z)) (edist y z) :=
by simp only [diam_insert, supr_insert, supr_singleton, diam_singleton,
ennreal.max_zero_right, ennreal.sup_eq_max]
/-- The diameter is monotonous with respect to inclusion -/
lemma diam_mono {s t : set α} (h : s ⊆ t) : diam s ≤ diam t :=
diam_le $ λ x hx y hy, edist_le_diam_of_mem (h hx) (h hy)
/-- The diameter of a union is controlled by the diameter of the sets, and the edistance
between two points in the sets. -/
lemma diam_union {t : set α} (xs : x ∈ s) (yt : y ∈ t) :
diam (s ∪ t) ≤ diam s + edist x y + diam t :=
begin
have A : ∀a ∈ s, ∀b ∈ t, edist a b ≤ diam s + edist x y + diam t := λa ha b hb, calc
edist a b ≤ edist a x + edist x y + edist y b : edist_triangle4 _ _ _ _
... ≤ diam s + edist x y + diam t :
add_le_add (add_le_add (edist_le_diam_of_mem ha xs) le_rfl) (edist_le_diam_of_mem yt hb),
refine diam_le (λa ha b hb, _),
cases (mem_union _ _ _).1 ha with h'a h'a; cases (mem_union _ _ _).1 hb with h'b h'b,
{ calc edist a b ≤ diam s : edist_le_diam_of_mem h'a h'b
... ≤ diam s + (edist x y + diam t) : le_self_add
... = diam s + edist x y + diam t : (add_assoc _ _ _).symm },
{ exact A a h'a b h'b },
{ have Z := A b h'b a h'a, rwa [edist_comm] at Z },
{ calc edist a b ≤ diam t : edist_le_diam_of_mem h'a h'b
... ≤ (diam s + edist x y) + diam t : le_add_self }
end
lemma diam_union' {t : set α} (h : (s ∩ t).nonempty) : diam (s ∪ t) ≤ diam s + diam t :=
let ⟨x, ⟨xs, xt⟩⟩ := h in by simpa using diam_union xs xt
lemma diam_closed_ball {r : ℝ≥0∞} : diam (closed_ball x r) ≤ 2 * r :=
diam_le $ λa ha b hb, calc
edist a b ≤ edist a x + edist b x : edist_triangle_right _ _ _
... ≤ r + r : add_le_add ha hb
... = 2 * r : (two_mul r).symm
lemma diam_ball {r : ℝ≥0∞} : diam (ball x r) ≤ 2 * r :=
le_trans (diam_mono ball_subset_closed_ball) diam_closed_ball
lemma diam_pi_le_of_le {π : β → Type*} [fintype β] [∀ b, pseudo_emetric_space (π b)]
{s : Π (b : β), set (π b)} {c : ℝ≥0∞} (h : ∀ b, diam (s b) ≤ c) :
diam (set.pi univ s) ≤ c :=
begin
apply diam_le (λ x hx y hy, edist_pi_le_iff.mpr _),
rw [mem_univ_pi] at hx hy,
exact λ b, diam_le_iff.1 (h b) (x b) (hx b) (y b) (hy b),
end
end diam
end emetric --namespace
/-- We now define `emetric_space`, extending `pseudo_emetric_space`. -/
class emetric_space (α : Type u) extends pseudo_emetric_space α : Type u :=
(eq_of_edist_eq_zero : ∀ {x y : α}, edist x y = 0 → x = y)
variables {γ : Type w} [emetric_space γ]
export emetric_space (eq_of_edist_eq_zero)
/-- Characterize the equality of points by the vanishing of their extended distance -/
@[simp] theorem edist_eq_zero {x y : γ} : edist x y = 0 ↔ x = y :=
iff.intro eq_of_edist_eq_zero (assume : x = y, this ▸ edist_self _)
@[simp] theorem zero_eq_edist {x y : γ} : 0 = edist x y ↔ x = y :=
iff.intro (assume h, eq_of_edist_eq_zero (h.symm))
(assume : x = y, this ▸ (edist_self _).symm)
theorem edist_le_zero {x y : γ} : (edist x y ≤ 0) ↔ x = y :=
nonpos_iff_eq_zero.trans edist_eq_zero
@[simp] theorem edist_pos {x y : γ} : 0 < edist x y ↔ x ≠ y := by simp [← not_le]
/-- Two points coincide if their distance is `< ε` for all positive ε -/
theorem eq_of_forall_edist_le {x y : γ} (h : ∀ε > 0, edist x y ≤ ε) : x = y :=
eq_of_edist_eq_zero (eq_of_le_of_forall_le_of_dense bot_le h)
/-- A map between emetric spaces is a uniform embedding if and only if the edistance between `f x`
and `f y` is controlled in terms of the distance between `x` and `y` and conversely. -/
theorem uniform_embedding_iff' [emetric_space β] {f : γ → β} :
uniform_embedding f ↔
(∀ ε > 0, ∃ δ > 0, ∀ {a b : γ}, edist a b < δ → edist (f a) (f b) < ε) ∧
(∀ δ > 0, ∃ ε > 0, ∀ {a b : γ}, edist (f a) (f b) < ε → edist a b < δ) :=
begin
split,
{ assume h,
exact ⟨emetric.uniform_continuous_iff.1 (uniform_embedding_iff.1 h).2.1,
(uniform_embedding_iff.1 h).2.2⟩ },
{ rintros ⟨h₁, h₂⟩,
refine uniform_embedding_iff.2 ⟨_, emetric.uniform_continuous_iff.2 h₁, h₂⟩,
assume x y hxy,
have : edist x y ≤ 0,
{ refine le_of_forall_lt' (λδ δpos, _),
rcases h₂ δ δpos with ⟨ε, εpos, hε⟩,
have : edist (f x) (f y) < ε, by simpa [hxy],
exact hε this },
simpa using this }
end
/-- An emetric space is separated -/
@[priority 100] -- see Note [lower instance priority]
instance to_separated : separated_space γ :=
separated_def.2 $ λ x y h, eq_of_forall_edist_le $
λ ε ε0, le_of_lt (h _ (edist_mem_uniformity ε0))
/-- If a `pseudo_emetric_space` is a T₀ space, then it is an `emetric_space`. -/
def emetric.of_t0_pseudo_emetric_space (α : Type*) [pseudo_emetric_space α] [t0_space α] :
emetric_space α :=
{ eq_of_edist_eq_zero := λ x y hdist, inseparable.eq $ emetric.inseparable_iff.2 hdist,
..‹pseudo_emetric_space α› }
/-- Auxiliary function to replace the uniformity on an emetric space with
a uniformity which is equal to the original one, but maybe not defeq.
This is useful if one wants to construct an emetric space with a
specified uniformity. See Note [forgetful inheritance] explaining why having definitionally
the right uniformity is often important.
-/
def emetric_space.replace_uniformity {γ} [U : uniform_space γ] (m : emetric_space γ)
(H : @uniformity _ U = @uniformity _ pseudo_emetric_space.to_uniform_space) :
emetric_space γ :=
{ edist := @edist _ m.to_has_edist,
edist_self := edist_self,
eq_of_edist_eq_zero := @eq_of_edist_eq_zero _ _,
edist_comm := edist_comm,
edist_triangle := edist_triangle,
to_uniform_space := U,
uniformity_edist := H.trans (@pseudo_emetric_space.uniformity_edist γ _) }
/-- The extended metric induced by an injective function taking values in a emetric space. -/
def emetric_space.induced {γ β} (f : γ → β) (hf : function.injective f)
(m : emetric_space β) : emetric_space γ :=
{ edist := λ x y, edist (f x) (f y),
edist_self := λ x, edist_self _,
eq_of_edist_eq_zero := λ x y h, hf (edist_eq_zero.1 h),
edist_comm := λ x y, edist_comm _ _,
edist_triangle := λ x y z, edist_triangle _ _ _,
to_uniform_space := uniform_space.comap f m.to_uniform_space,
uniformity_edist := begin
apply @uniformity_dist_of_mem_uniformity _ _ _ _ _ (λ x y, edist (f x) (f y)),
refine λ s, mem_comap.trans _,
split; intro H,
{ rcases H with ⟨r, ru, rs⟩,
rcases mem_uniformity_edist.1 ru with ⟨ε, ε0, hε⟩,
refine ⟨ε, ε0, λ a b h, rs (hε _)⟩, exact h },
{ rcases H with ⟨ε, ε0, hε⟩,
exact ⟨_, edist_mem_uniformity ε0, λ ⟨a, b⟩, hε⟩ }
end }
/-- Emetric space instance on subsets of emetric spaces -/
instance {α : Type*} {p : α → Prop} [emetric_space α] : emetric_space (subtype p) :=
emetric_space.induced coe subtype.coe_injective ‹_›
/-- Emetric space instance on the multiplicative opposite of an emetric space. -/
@[to_additive "Emetric space instance on the additive opposite of an emetric space."]
instance {α : Type*} [emetric_space α] : emetric_space αᵐᵒᵖ :=
emetric_space.induced mul_opposite.unop mul_opposite.unop_injective ‹_›
instance {α : Type*} [emetric_space α] : emetric_space (ulift α) :=
emetric_space.induced ulift.down ulift.down_injective ‹_›
/-- The product of two emetric spaces, with the max distance, is an extended
metric spaces. We make sure that the uniform structure thus constructed is the one
corresponding to the product of uniform spaces, to avoid diamond problems. -/
instance prod.emetric_space_max [emetric_space β] : emetric_space (γ × β) :=
{ eq_of_edist_eq_zero := λ x y h, begin
cases max_le_iff.1 (le_of_eq h) with h₁ h₂,
have A : x.fst = y.fst := edist_le_zero.1 h₁,
have B : x.snd = y.snd := edist_le_zero.1 h₂,
exact prod.ext_iff.2 ⟨A, B⟩
end,
..prod.pseudo_emetric_space_max }
/-- Reformulation of the uniform structure in terms of the extended distance -/
theorem uniformity_edist :
𝓤 γ = ⨅ ε>0, 𝓟 {p:γ×γ | edist p.1 p.2 < ε} :=
pseudo_emetric_space.uniformity_edist
section pi
open finset
variables {π : β → Type*} [fintype β]
/-- The product of a finite number of emetric spaces, with the max distance, is still
an emetric space.
This construction would also work for infinite products, but it would not give rise
to the product topology. Hence, we only formalize it in the good situation of finitely many
spaces. -/
instance emetric_space_pi [∀b, emetric_space (π b)] : emetric_space (Πb, π b) :=
{ eq_of_edist_eq_zero := assume f g eq0,
begin
have eq1 : sup univ (λ (b : β), edist (f b) (g b)) ≤ 0 := le_of_eq eq0,
simp only [finset.sup_le_iff] at eq1,
exact (funext $ assume b, edist_le_zero.1 $ eq1 b $ mem_univ b),
end,
..pseudo_emetric_space_pi }
end pi
namespace emetric
/-- A compact set in an emetric space is separable, i.e., it is the closure of a countable set. -/
lemma countable_closure_of_compact {s : set γ} (hs : is_compact s) :
∃ t ⊆ s, (t.countable ∧ s = closure t) :=
begin
rcases subset_countable_closure_of_compact hs with ⟨t, hts, htc, hsub⟩,
exact ⟨t, hts, htc, subset.antisymm hsub (closure_minimal hts hs.is_closed)⟩
end
section diam
variables {s : set γ}
lemma diam_eq_zero_iff : diam s = 0 ↔ s.subsingleton :=
⟨λ h x hx y hy, edist_le_zero.1 $ h ▸ edist_le_diam_of_mem hx hy, diam_subsingleton⟩
lemma diam_pos_iff : 0 < diam s ↔ ∃ (x ∈ s) (y ∈ s), x ≠ y :=
by simp only [pos_iff_ne_zero, ne.def, diam_eq_zero_iff, set.subsingleton, not_forall]
end diam
end emetric
/-!
### `additive`, `multiplicative`
The distance on those type synonyms is inherited without change.
-/
open additive multiplicative
section
variables [has_edist X]
instance : has_edist (additive X) := ‹has_edist X›
instance : has_edist (multiplicative X) := ‹has_edist X›
@[simp] lemma edist_of_mul (a b : X) : edist (of_mul a) (of_mul b) = edist a b := rfl
@[simp] lemma edist_of_add (a b : X) : edist (of_add a) (of_add b) = edist a b := rfl
@[simp] lemma edist_to_mul (a b : additive X) : edist (to_mul a) (to_mul b) = edist a b := rfl
@[simp] lemma edist_to_add (a b : multiplicative X) : edist (to_add a) (to_add b) = edist a b := rfl
end
instance [pseudo_emetric_space X] : pseudo_emetric_space (additive X) := ‹pseudo_emetric_space X›
instance [pseudo_emetric_space X] : pseudo_emetric_space (multiplicative X) :=
‹pseudo_emetric_space X›
instance [emetric_space X] : emetric_space (additive X) := ‹emetric_space X›
instance [emetric_space X] : emetric_space (multiplicative X) := ‹emetric_space X›
/-!
### Order dual
The distance on this type synonym is inherited without change.
-/
open order_dual
section
variables [has_edist X]
instance : has_edist Xᵒᵈ := ‹has_edist X›
@[simp] lemma edist_to_dual (a b : X) : edist (to_dual a) (to_dual b) = edist a b := rfl
@[simp] lemma edist_of_dual (a b : Xᵒᵈ) : edist (of_dual a) (of_dual b) = edist a b := rfl
end
instance [pseudo_emetric_space X] : pseudo_emetric_space Xᵒᵈ := ‹pseudo_emetric_space X›
instance [emetric_space X] : emetric_space Xᵒᵈ := ‹emetric_space X›
|
30cd2db108864210decf80d2e614cbf5b0584105 | 8cae430f0a71442d02dbb1cbb14073b31048e4b0 | /src/analysis/calculus/deriv/polynomial.lean | 9f1d651ae5b2cc9e88fdc03391ecb444a4df1852 | [
"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 | 6,252 | lean | /-
Copyright (c) 2019 Sébastien Gouëzel. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Sébastien Gouëzel, Eric Wieser
-/
import analysis.calculus.deriv.pow
import analysis.calculus.deriv.add
import data.polynomial.algebra_map
import data.polynomial.derivative
/-!
# Derivatives of polynomials
> THIS FILE IS SYNCHRONIZED WITH MATHLIB4.
> Any changes to this file require a corresponding PR to mathlib4.
In this file we prove that derivatives of polynomials in the analysis sense agree with their
derivatives in the algebraic sense.
For a more detailed overview of one-dimensional derivatives in mathlib, see the module docstring of
`analysis/calculus/deriv/basic`.
## TODO
* Add results about multivariable polynomials.
* Generalize some (most?) results to an algebra over the base field.
## Keywords
derivative, polynomial
-/
universes u v w
open_locale classical topology big_operators filter ennreal polynomial
open filter asymptotics set
open continuous_linear_map (smul_right smul_right_one_eq_iff)
variables {𝕜 : Type u} [nontrivially_normed_field 𝕜]
variables {F : Type v} [normed_add_comm_group F] [normed_space 𝕜 F]
variables {E : Type w} [normed_add_comm_group E] [normed_space 𝕜 E]
variables {f f₀ f₁ g : 𝕜 → F}
variables {f' f₀' f₁' g' : F}
variables {x : 𝕜}
variables {s t : set 𝕜}
variables {L L₁ L₂ : filter 𝕜}
namespace polynomial
/-! ### Derivative of a polynomial -/
variables {R : Type*} [comm_semiring R] [algebra R 𝕜]
variables (p : 𝕜[X]) (q : R[X])
/-- The derivative (in the analysis sense) of a polynomial `p` is given by `p.derivative`. -/
protected lemma has_strict_deriv_at (x : 𝕜) :
has_strict_deriv_at (λx, p.eval x) (p.derivative.eval x) x :=
begin
induction p using polynomial.induction_on',
case h_add : p q hp hq { simpa using hp.add hq },
case h_monomial : n a { simpa [mul_assoc] using (has_strict_deriv_at_pow n x).const_mul a }
end
protected lemma has_strict_deriv_at_aeval (x : 𝕜) :
has_strict_deriv_at (λx, aeval x q) (aeval x q.derivative) x :=
by simpa only [aeval_def, eval₂_eq_eval_map, derivative_map]
using (q.map (algebra_map R 𝕜)).has_strict_deriv_at x
/-- The derivative (in the analysis sense) of a polynomial `p` is given by `p.derivative`. -/
protected lemma has_deriv_at (x : 𝕜) : has_deriv_at (λx, p.eval x) (p.derivative.eval x) x :=
(p.has_strict_deriv_at x).has_deriv_at
protected lemma has_deriv_at_aeval (x : 𝕜) :
has_deriv_at (λx, aeval x q) (aeval x q.derivative) x :=
(q.has_strict_deriv_at_aeval x).has_deriv_at
protected theorem has_deriv_within_at (x : 𝕜) (s : set 𝕜) :
has_deriv_within_at (λx, p.eval x) (p.derivative.eval x) s x :=
(p.has_deriv_at x).has_deriv_within_at
protected theorem has_deriv_within_at_aeval (x : 𝕜) (s : set 𝕜) :
has_deriv_within_at (λx, aeval x q) (aeval x q.derivative) s x :=
(q.has_deriv_at_aeval x).has_deriv_within_at
protected lemma differentiable_at : differentiable_at 𝕜 (λx, p.eval x) x :=
(p.has_deriv_at x).differentiable_at
protected lemma differentiable_at_aeval : differentiable_at 𝕜 (λx, aeval x q) x :=
(q.has_deriv_at_aeval x).differentiable_at
protected lemma differentiable_within_at : differentiable_within_at 𝕜 (λx, p.eval x) s x :=
p.differentiable_at.differentiable_within_at
protected lemma differentiable_within_at_aeval : differentiable_within_at 𝕜 (λx, aeval x q) s x :=
q.differentiable_at_aeval.differentiable_within_at
protected lemma differentiable : differentiable 𝕜 (λx, p.eval x) :=
λx, p.differentiable_at
protected lemma differentiable_aeval : differentiable 𝕜 (λ x : 𝕜, aeval x q) :=
λx, q.differentiable_at_aeval
protected lemma differentiable_on : differentiable_on 𝕜 (λx, p.eval x) s :=
p.differentiable.differentiable_on
protected lemma differentiable_on_aeval : differentiable_on 𝕜 (λx, aeval x q) s :=
q.differentiable_aeval.differentiable_on
@[simp] protected lemma deriv : deriv (λx, p.eval x) x = p.derivative.eval x :=
(p.has_deriv_at x).deriv
@[simp] protected lemma deriv_aeval : deriv (λx, aeval x q) x = aeval x q.derivative :=
(q.has_deriv_at_aeval x).deriv
protected lemma deriv_within (hxs : unique_diff_within_at 𝕜 s x) :
deriv_within (λx, p.eval x) s x = p.derivative.eval x :=
begin
rw differentiable_at.deriv_within p.differentiable_at hxs,
exact p.deriv
end
protected lemma deriv_within_aeval (hxs : unique_diff_within_at 𝕜 s x) :
deriv_within (λx, aeval x q) s x = aeval x q.derivative :=
by simpa only [aeval_def, eval₂_eq_eval_map, derivative_map]
using (q.map (algebra_map R 𝕜)).deriv_within hxs
protected lemma has_fderiv_at (x : 𝕜) :
has_fderiv_at (λx, p.eval x) (smul_right (1 : 𝕜 →L[𝕜] 𝕜) (p.derivative.eval x)) x :=
p.has_deriv_at x
protected lemma has_fderiv_at_aeval (x : 𝕜) :
has_fderiv_at (λx, aeval x q) (smul_right (1 : 𝕜 →L[𝕜] 𝕜) (aeval x q.derivative)) x :=
q.has_deriv_at_aeval x
protected lemma has_fderiv_within_at (x : 𝕜) :
has_fderiv_within_at (λx, p.eval x) (smul_right (1 : 𝕜 →L[𝕜] 𝕜) (p.derivative.eval x)) s x :=
(p.has_fderiv_at x).has_fderiv_within_at
protected lemma has_fderiv_within_at_aeval (x : 𝕜) :
has_fderiv_within_at (λx, aeval x q) (smul_right (1 : 𝕜 →L[𝕜] 𝕜) (aeval x q.derivative)) s x :=
(q.has_fderiv_at_aeval x).has_fderiv_within_at
@[simp] protected lemma fderiv :
fderiv 𝕜 (λx, p.eval x) x = smul_right (1 : 𝕜 →L[𝕜] 𝕜) (p.derivative.eval x) :=
(p.has_fderiv_at x).fderiv
@[simp] protected lemma fderiv_aeval :
fderiv 𝕜 (λx, aeval x q) x = smul_right (1 : 𝕜 →L[𝕜] 𝕜) (aeval x q.derivative) :=
(q.has_fderiv_at_aeval x).fderiv
protected lemma fderiv_within (hxs : unique_diff_within_at 𝕜 s x) :
fderiv_within 𝕜 (λx, p.eval x) s x = smul_right (1 : 𝕜 →L[𝕜] 𝕜) (p.derivative.eval x) :=
(p.has_fderiv_within_at x).fderiv_within hxs
protected lemma fderiv_within_aeval (hxs : unique_diff_within_at 𝕜 s x) :
fderiv_within 𝕜 (λx, aeval x q) s x = smul_right (1 : 𝕜 →L[𝕜] 𝕜) (aeval x q.derivative) :=
(q.has_fderiv_within_at_aeval x).fderiv_within hxs
end polynomial
|
3118bef748d8ca2cf207451017f4813f9a4cc404 | 26ac254ecb57ffcb886ff709cf018390161a9225 | /src/linear_algebra/lagrange.lean | 0793d33731f7fdeec6e683244d9ffa91ad391ade | [
"Apache-2.0"
] | permissive | eric-wieser/mathlib | 42842584f584359bbe1fc8b88b3ff937c8acd72d | d0df6b81cd0920ad569158c06a3fd5abb9e63301 | refs/heads/master | 1,669,546,404,255 | 1,595,254,668,000 | 1,595,254,668,000 | 281,173,504 | 0 | 0 | Apache-2.0 | 1,595,263,582,000 | 1,595,263,581,000 | null | UTF-8 | Lean | false | false | 6,965 | lean | /-
Copyright (c) 2020 Kenny Lau. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Author: Kenny Lau.
-/
import ring_theory.polynomial algebra.big_operators
/-!
# Lagrange interpolation
## Main definitions
* `lagrange.basis s x` where `s : finset F` and `x : F`: the Lagrange basis polynomial
that evaluates to `1` at `x` and `0` at other elements of `s`.
* `lagrange.interpolate s f` where `s : finset F` and `f : s → F`: the Lagrange interpolant
that evaluates to `f x` at `x` for `x ∈ s`.
-/
noncomputable theory
open_locale big_operators classical
universe u
namespace lagrange
variables {F : Type u} [decidable_eq F] [field F] (s : finset F)
variables {F' : Type u} [field F'] (s' : finset F')
open polynomial
/-- Lagrange basis polynomials that evaluate to 1 at `x` and 0 at other elements of `s`. -/
def basis (x : F) : polynomial F :=
∏ y in s.erase x, C (x - y)⁻¹ * (X - C y)
@[simp] theorem basis_empty (x : F) : basis ∅ x = 1 :=
rfl
@[simp] theorem eval_basis_self (x : F) : (basis s x).eval x = 1 :=
begin
rw [basis, ← (s.erase x).prod_hom (eval x), finset.prod_eq_one],
intros y hy, simp_rw [eval_mul, eval_sub, eval_C, eval_X],
exact inv_mul_cancel (sub_ne_zero_of_ne (finset.ne_of_mem_erase hy).symm)
end
@[simp] theorem eval_basis_ne (x y : F) (h1 : y ∈ s) (h2 : y ≠ x) : (basis s x).eval y = 0 :=
begin
rw [basis, ← (s.erase x).prod_hom (eval y), finset.prod_eq_zero (finset.mem_erase.2 ⟨h2, h1⟩)],
simp_rw [eval_mul, eval_sub, eval_C, eval_X, sub_self, mul_zero]
end
theorem eval_basis (x y : F) (h : y ∈ s) : (basis s x).eval y = if y = x then 1 else 0 :=
by { split_ifs with H, { subst H, apply eval_basis_self }, { exact eval_basis_ne s x y h H } }
@[simp] theorem nat_degree_basis (x : F) (hx : x ∈ s) : (basis s x).nat_degree = s.card - 1 :=
begin
unfold basis, generalize hsx : s.erase x = sx,
have : x ∉ sx := hsx ▸ finset.not_mem_erase x s,
rw [← finset.insert_erase hx, hsx, finset.card_insert_of_not_mem this, nat.add_sub_cancel],
clear hx hsx s, revert this, apply sx.induction_on,
{ intros hx, rw [finset.prod_empty, nat_degree_one], refl },
{ intros y s hys ih hx, rw [finset.mem_insert, not_or_distrib] at hx,
have h1 : C (x - y)⁻¹ ≠ C 0 := λ h, hx.1 (eq_of_sub_eq_zero $ inv_eq_zero.1 $ C_inj.1 h),
have h2 : X ^ 1 - C y ≠ 0 := by convert X_pow_sub_C_ne_zero zero_lt_one y,
rw C_0 at h1, rw pow_one at h2,
rw [finset.prod_insert hys, nat_degree_mul (mul_ne_zero h1 h2), ih hx.2,
finset.card_insert_of_not_mem hys, nat_degree_mul h1 h2,
nat_degree_C, zero_add, nat_degree, degree_X_sub_C, add_comm], refl,
rw [ne, finset.prod_eq_zero_iff], rintro ⟨z, hzs, hz⟩,
rw mul_eq_zero at hz, cases hz with hz hz,
{ rw [← C_0, C_inj, inv_eq_zero, sub_eq_zero] at hz, exact hx.2 (hz.symm ▸ hzs) },
{ rw ← pow_one (X : polynomial F) at hz, exact X_pow_sub_C_ne_zero zero_lt_one _ hz } }
end
variables (f : (↑s : set F) → F)
/-- Lagrange interpolation: given a finset `s` and a function `f : s → F`,
`interpolate s f` is the unique polynomial of degree `< s.card`
that takes value `f x` on all `x` in `s`. -/
def interpolate : polynomial F :=
∑ x in s.attach, C (f x) * basis s x
@[simp] theorem interpolate_empty (f) : interpolate (∅ : finset F) f = 0 :=
rfl
@[simp] theorem eval_interpolate (x) (H : x ∈ s) : eval x (interpolate s f) = f ⟨x, H⟩ :=
begin
rw [interpolate, ← finset.sum_hom _ (eval x), finset.sum_eq_single (⟨x, H⟩ : { x // x ∈ s })],
{ rw [eval_mul, eval_C, subtype.coe_mk, eval_basis_self, mul_one] },
{ rintros ⟨y, hy⟩ _ hyx, rw [eval_mul, subtype.coe_mk, eval_basis_ne s y x H, mul_zero],
{ rintros rfl, exact hyx rfl } },
{ intro h, exact absurd (finset.mem_attach _ _) h }
end
theorem degree_interpolate_lt : (interpolate s f).degree < s.card :=
if H : s = ∅ then by { subst H, rw [interpolate_empty, degree_zero], exact with_bot.bot_lt_coe _ }
else lt_of_le_of_lt (degree_sum_le _ _) $ (finset.sup_lt_iff $ with_bot.bot_lt_coe s.card).2 $ λ b _,
calc (C (f b) * basis s b).degree
≤ (C (f b)).degree + (basis s b).degree : degree_mul_le _ _
... ≤ 0 + (basis s b).degree : add_le_add_right degree_C_le _
... = (basis s b).degree : zero_add _
... ≤ (basis s b).nat_degree : degree_le_nat_degree
... = (s.card - 1 : ℕ) : by { rw nat_degree_basis s b b.2 }
... < s.card : with_bot.coe_lt_coe.2 (nat.pred_lt $ mt finset.card_eq_zero.1 H)
/-- Linear version of `interpolate`. -/
def linterpolate : ((↑s : set F) → F) →ₗ[F] polynomial F :=
{ to_fun := interpolate s,
map_add' := λ f g, by { simp_rw [interpolate, ← finset.sum_add_distrib, ← add_mul, ← C_add],
refl },
map_smul' := λ c f, by { simp_rw [interpolate, finset.smul_sum, C_mul', smul_smul], refl } }
@[simp] lemma interpolate_add (f g) : interpolate s (f + g) = interpolate s f + interpolate s g :=
(linterpolate s).map_add f g
@[simp] lemma interpolate_zero : interpolate s 0 = 0 :=
(linterpolate s).map_zero
@[simp] lemma interpolate_neg (f) : interpolate s (-f) = -interpolate s f :=
(linterpolate s).map_neg f
@[simp] lemma interpolate_sub (f g) : interpolate s (f - g) = interpolate s f - interpolate s g :=
(linterpolate s).map_sub f g
@[simp] lemma interpolate_smul (c : F) (f) : interpolate s (c • f) = c • interpolate s f :=
(linterpolate s).map_smul c f
theorem eq_zero_of_eval_eq_zero {f : polynomial F'} (hf1 : f.degree < s'.card)
(hf2 : ∀ x ∈ s', f.eval x = 0) : f = 0 :=
by_contradiction $ λ hf3, not_le_of_lt hf1 $
calc (s'.card : with_bot ℕ)
≤ f.roots.card : with_bot.coe_le_coe.2 $ finset.card_le_of_subset $ λ x hx,
(mem_roots hf3).2 $ hf2 x hx
... ≤ f.degree : card_roots hf3
theorem eq_of_eval_eq {f g : polynomial F'} (hf : f.degree < s'.card) (hg : g.degree < s'.card)
(hfg : ∀ x ∈ s', f.eval x = g.eval x) : f = g :=
eq_of_sub_eq_zero $ eq_zero_of_eval_eq_zero s'
(lt_of_le_of_lt (degree_sub_le f g) $ max_lt hf hg)
(λ x hx, by rw [eval_sub, hfg x hx, sub_self])
theorem eq_interpolate (f : polynomial F) (hf : f.degree < s.card) :
interpolate s (λ x, f.eval x) = f :=
eq_of_eval_eq s (degree_interpolate_lt s _) hf $ λ x hx, eval_interpolate s _ x hx
/-- Lagrange interpolation induces isomorphism between functions from `s` and polynomials
of degree less than `s.card`. -/
def fun_equiv_degree_lt : degree_lt F s.card ≃ₗ[F] ((↑s : set F) → F) :=
{ to_fun := λ f x, f.1.eval x,
map_add' := λ f g, funext $ λ x, eval_add,
map_smul' := λ c f, funext $ λ x, by { rw [pi.smul_apply, smul_eq_mul, ← @eval_C F c _ x,
← eval_mul, eval_C, C_mul'], refl },
inv_fun := λ f, ⟨interpolate s f, mem_degree_lt.2 $ degree_interpolate_lt s f⟩,
left_inv := λ f, subtype.eq $ eq_interpolate s f $ mem_degree_lt.1 f.2,
right_inv := λ f, funext $ λ ⟨x, hx⟩, eval_interpolate s f x hx }
end lagrange
|
aa535dccbe65d236460a5e0a6910085fa66d95b5 | 2eab05920d6eeb06665e1a6df77b3157354316ad | /src/topology/homotopy/path.lean | a573834725e9299231a7b5ebbb1173774f443e04 | [
"Apache-2.0"
] | permissive | ayush1801/mathlib | 78949b9f789f488148142221606bf15c02b960d2 | ce164e28f262acbb3de6281b3b03660a9f744e3c | refs/heads/master | 1,692,886,907,941 | 1,635,270,866,000 | 1,635,270,866,000 | null | 0 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 8,812 | lean | /-
Copyright (c) 2021 Shing Tak Lam. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Shing Tak Lam
-/
import topology.homotopy.basic
import topology.path_connected
import analysis.convex.basic
/-!
# Homotopy between paths
In this file, we define a `homotopy` between two `path`s. In addition, we define a relation
`homotopic` on `path`s, and prove that it is an equivalence relation.
## Definitions
* `path.homotopy p₀ p₁` is the type of homotopies between paths `p₀` and `p₁`
* `path.homotopy.refl p` is the constant homotopy between `p` and itself
* `path.homotopy.symm F` is the `path.homotopy p₁ p₀` defined by reversing the homotopy
* `path.homotopy.trans F G`, where `F : path.homotopy p₀ p₁`, `G : path.homotopy p₁ p₂` is the
`path.homotopy p₀ p₂` defined by putting the first homotopy on `[0, 1/2]` and the second on
`[1/2, 1]`
* `path.homotopy.hcomp F G`, where `F : path.homotopy p₀ q₀` and `G : path.homotopy p₁ q₁` is
a `path.homotopy (p₀.trans p₁) (q₀.trans q₁)`
* `path.homotopic p₀ p₁` is the relation saying that there is a homotopy between `p₀` and `p₁`
* `path.homotopic.setoid x₀ x₁` is the setoid on `path`s from `path.homotopic`
* `path.homotopic.quotient x₀ x₁` is the quotient type from `path x₀ x₀` by `path.homotopic.setoid`
## Todos
Define the fundamental group(oid).
-/
universes u v
variables {X : Type u} {Y : Type v} [topological_space X] [topological_space Y]
variables {x₀ x₁ : X}
noncomputable theory
open_locale unit_interval
namespace path
/--
The type of homotopies between two paths.
-/
abbreviation homotopy (p₀ p₁ : path x₀ x₁) :=
continuous_map.homotopy_rel p₀.to_continuous_map p₁.to_continuous_map {0, 1}
namespace homotopy
section
variables {p₀ p₁ : path x₀ x₁}
instance : has_coe_to_fun (homotopy p₀ p₁) (λ _, I × I → X) := ⟨λ F, F.to_fun⟩
lemma coe_fn_injective : @function.injective (homotopy p₀ p₁) (I × I → X) coe_fn :=
continuous_map.homotopy_with.coe_fn_injective
@[simp]
lemma source (F : homotopy p₀ p₁) (t : I) : F (t, 0) = x₀ :=
begin
simp_rw [←p₀.source],
apply continuous_map.homotopy_rel.eq_fst,
simp,
end
@[simp]
lemma target (F : homotopy p₀ p₁) (t : I) : F (t, 1) = x₁ :=
begin
simp_rw [←p₁.target],
apply continuous_map.homotopy_rel.eq_snd,
simp,
end
/--
Evaluating a path homotopy at an intermediate point, giving us a `path`.
-/
def eval (F : homotopy p₀ p₁) (t : I) : path x₀ x₁ :=
{ to_fun := F.to_homotopy.curry t,
source' := by simp,
target' := by simp }
@[simp]
lemma eval_zero (F : homotopy p₀ p₁) : F.eval 0 = p₀ :=
begin
ext t,
simp [eval],
end
@[simp]
lemma eval_one (F : homotopy p₀ p₁) : F.eval 1 = p₁ :=
begin
ext t,
simp [eval],
end
end
section
variables {p₀ p₁ p₂ : path x₀ x₁}
/--
Given a path `p`, we can define a `homotopy p p` by `F (t, x) = p x`
-/
@[simps]
def refl (p : path x₀ x₁) : homotopy p p :=
continuous_map.homotopy_rel.refl p.to_continuous_map {0, 1}
/--
Given a `homotopy p₀ p₁`, we can define a `homotopy p₁ p₀` by reversing the homotopy.
-/
@[simps]
def symm (F : homotopy p₀ p₁) : homotopy p₁ p₀ :=
continuous_map.homotopy_rel.symm F
@[simp]
lemma symm_symm (F : homotopy p₀ p₁) : F.symm.symm = F :=
continuous_map.homotopy_rel.symm_symm F
/--
Given `homotopy p₀ p₁` and `homotopy p₁ p₂`, we can define a `homotopy p₀ p₂` by putting the first
homotopy on `[0, 1/2]` and the second on `[1/2, 1]`.
-/
def trans (F : homotopy p₀ p₁) (G : homotopy p₁ p₂) : homotopy p₀ p₂ :=
continuous_map.homotopy_rel.trans F G
lemma trans_apply (F : homotopy p₀ p₁) (G : homotopy p₁ p₂) (x : I × I) :
(F.trans G) x =
if h : (x.1 : ℝ) ≤ 1/2 then
F (⟨2 * x.1, (unit_interval.mul_pos_mem_iff zero_lt_two).2 ⟨x.1.2.1, h⟩⟩, x.2)
else
G (⟨2 * x.1 - 1, unit_interval.two_mul_sub_one_mem_iff.2 ⟨(not_le.1 h).le, x.1.2.2⟩⟩, x.2) :=
continuous_map.homotopy_rel.trans_apply _ _ _
lemma symm_trans (F : homotopy p₀ p₁) (G : homotopy p₁ p₂) :
(F.trans G).symm = G.symm.trans F.symm :=
continuous_map.homotopy_rel.symm_trans _ _
/--
Casting a `homotopy p₀ p₁` to a `homotopy q₀ q₁` where `p₀ = q₀` and `p₁ = q₁`.
-/
@[simps]
def cast {p₀ p₁ q₀ q₁ : path x₀ x₁} (F : homotopy p₀ p₁) (h₀ : p₀ = q₀) (h₁ : p₁ = q₁) :
homotopy q₀ q₁ :=
continuous_map.homotopy_rel.cast F (congr_arg _ h₀) (congr_arg _ h₁)
end
section
variables {x₂ : X} {p₀ q₀ : path x₀ x₁} {p₁ q₁ : path x₁ x₂}
/--
Suppose `p₀` and `q₀` are paths from `x₀` to `x₁`, `p₁` and `q₁` are paths from `x₁` to `x₂`.
Furthermore, suppose `F : homotopy p₀ q₀` and `G : homotopy p₁ q₁`. Then we can define a homotopy
from `p₀.trans p₁` to `q₀.trans q₁`.
-/
def hcomp (F : homotopy p₀ q₀) (G : homotopy p₁ q₁) :
homotopy (p₀.trans p₁) (q₀.trans q₁) :=
{ to_fun := λ x,
if (x.2 : ℝ) ≤ 1/2 then
(F.eval x.1).extend (2 * x.2)
else
(G.eval x.1).extend (2 * x.2 - 1),
continuous_to_fun := begin
refine continuous_if_le (continuous_induced_dom.comp continuous_snd) continuous_const
(F.to_homotopy.continuous.comp (by continuity)).continuous_on
(G.to_homotopy.continuous.comp (by continuity)).continuous_on _,
intros x hx,
norm_num [hx]
end,
to_fun_zero := λ x, by norm_num [path.trans],
to_fun_one := λ x, by norm_num [path.trans],
prop' := begin
rintros x t ht,
cases ht,
{ rw ht,
simp },
{ rw set.mem_singleton_iff at ht,
rw ht,
norm_num }
end }
lemma hcomp_apply (F : homotopy p₀ q₀) (G : homotopy p₁ q₁) (x : I × I) :
F.hcomp G x =
if h : (x.2 : ℝ) ≤ 1/2 then
F.eval x.1 ⟨2 * x.2, (unit_interval.mul_pos_mem_iff zero_lt_two).2 ⟨x.2.2.1, h⟩⟩
else
G.eval x.1 ⟨2 * x.2 - 1, unit_interval.two_mul_sub_one_mem_iff.2 ⟨(not_le.1 h).le, x.2.2.2⟩⟩ :=
show ite _ _ _ = _, by split_ifs; exact path.extend_extends _ _
lemma hcomp_half (F : homotopy p₀ q₀) (G : homotopy p₁ q₁) (t : I) :
F.hcomp G (t, ⟨1/2, by norm_num, by norm_num⟩) = x₁ :=
show ite _ _ _ = _, by norm_num
end
/--
Suppose `p` is a path, then we have a homotopy from `p` to `p.reparam f` by the convexity of `I`.
-/
def reparam (p : path x₀ x₁) (f : I → I) (hf : continuous f) (hf₀ : f 0 = 0) (hf₁ : f 1 = 1) :
homotopy p (p.reparam f hf hf₀ hf₁) :=
{ to_fun := λ x, p ⟨σ x.1 * x.2 + x.1 * f x.2,
show (σ x.1 : ℝ) • (x.2 : ℝ) + (x.1 : ℝ) • (f x.2 : ℝ) ∈ I, from convex_Icc _ _ x.2.2 (f x.2).2
(by unit_interval) (by unit_interval) (by simp)⟩,
continuous_to_fun := by continuity,
to_fun_zero := λ x, by norm_num,
to_fun_one := λ x, by norm_num,
prop' := λ t x hx,
begin
cases hx,
{ rw hx, norm_num [hf₀] },
{ rw set.mem_singleton_iff at hx,
rw hx,
norm_num [hf₁] }
end }
/--
Suppose `F : homotopy p q`. Then we have a `homotopy p.symm q.symm` by reversing the second
argument.
-/
@[simps]
def symm₂ {p q : path x₀ x₁} (F : p.homotopy q) : p.symm.homotopy q.symm :=
{ to_fun := λ x, F ⟨x.1, σ x.2⟩,
continuous_to_fun := by continuity,
to_fun_zero := by simp [path.symm],
to_fun_one := by simp [path.symm],
prop' := λ t x hx, begin
cases hx,
{ rw hx, simp },
{ rw set.mem_singleton_iff at hx,
rw hx,
simp }
end }
end homotopy
/--
Two paths `p₀` and `p₁` are `path.homotopic` if there exists a `homotopy` between them.
-/
def homotopic (p₀ p₁ : path x₀ x₁) : Prop := nonempty (p₀.homotopy p₁)
namespace homotopic
@[refl]
lemma refl (p : path x₀ x₁) : p.homotopic p := ⟨homotopy.refl p⟩
@[symm]
lemma symm ⦃p₀ p₁ : path x₀ x₁⦄ (h : p₀.homotopic p₁) : p₁.homotopic p₀ := ⟨h.some.symm⟩
@[trans]
lemma trans ⦃p₀ p₁ p₂ : path x₀ x₁⦄ (h₀ : p₀.homotopic p₁) (h₁ : p₁.homotopic p₂) :
p₀.homotopic p₂ := ⟨h₀.some.trans h₁.some⟩
lemma equivalence : equivalence (@homotopic X _ x₀ x₁) := ⟨refl, symm, trans⟩
/--
The setoid on `path`s defined by the equivalence relation `path.homotopic`. That is, two paths are
equivalent if there is a `homotopy` between them.
-/
protected def setoid (x₀ x₁ : X) : setoid (path x₀ x₁) := ⟨homotopic, equivalence⟩
/--
The quotient on `path x₀ x₁` by the equivalence relation `path.homotopic`.
-/
protected def quotient (x₀ x₁ : X) := quotient (homotopic.setoid x₀ x₁)
instance : inhabited (homotopic.quotient () ()) :=
⟨@quotient.mk _ (homotopic.setoid _ _) $ path.refl ()⟩
end homotopic
end path
|
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