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ddeceaae08676ee36209203b00371e435bfe06e8 | ed27983dd289b3bcad416f0b1927105d6ef19db8 | /src/inClassNotes/type_library/typeUniverses.lean | fe93f6b5192f59639ff27be6918d289e0fe30482 | [] | no_license | liuxin-James/complogic-s21 | 0d55b76dbe25024473d31d98b5b83655c365f811 | 13e03e0114626643b44015c654151fb651603486 | refs/heads/master | 1,681,109,264,463 | 1,618,848,261,000 | 1,618,848,261,000 | 337,599,491 | 0 | 0 | null | 1,613,141,619,000 | 1,612,925,555,000 | null | UTF-8 | Lean | false | false | 3,019 | lean | /-
Lean's type hierarchy
-/
namespace hidden1
universe u
structure box (α : Type u) : Type u :=
(val : α)
def b3 : box nat := box.mk 3
#check b3
def nope : box Type := box.mk nat
#check nope
/-
Every term has a type.
Types are terms, too.
The type of 3 is ℕ.
ℕ is a type, so it has a type.
The type of ℕ (#check) is Type.
So here's a picture so far.
Type (aka Type 0)
/ | \ ..... \
bool nat string (box nat) ...
/ \ | | |
tt ff 3 "Hi!" (box.mk 3)
We can pass 3 to box'.mk because
its type, nat, "belongs to" Type.
Can we pass nat to box'.mk?
-/
def bn := box.mk nat -- No!
/-
A picture tells us what went wrong.
???
|
Type 0 (α := Type : ???)
/ | \
bool nat string (a := nat : Type)
/ \ | |
tt ff 3 "Hi!"
Above Type 0 is an infinite stack of
higher type universes, Type 1, Type 2,
etc.
-/
#check Type 0
#check Type 1
#check Type 2
-- etc
/-
In the earlier example, we declared
the type of α to be Type, but if we
bind a := (nat : Type), the Lean will
infer that α := (Type : Type 1). So
we get a type error.
Now if we change the type of α from
Type to Type 1, we'll have a different
problem. THINK TIME: What is it?
-/
end hidden1
/-
The solution is to make our box
type builder generic with respect
to the "type universe" in which
α lives. We do this by declaring
an identifier to be a universe
variable, and then add it after
"Type" in our type declaration.
-/
universe u
structure box (α : Type u) : Type u :=
(val : α)
def b3 : box nat := box.mk 3
def bt : box Type := box.mk nat
/-
Think time: What are the types of b3,
box nat, bt, and box Type?
-/
#check b3
#check box nat
#check bt
#check box Type
-- Yay!
/-
Why so complex? To avoids logical inconsistency.
Russell's Paradox.
Consider the set, S, of all sets that do not
contain themselves. Does S contain itself?
If the answer is yes, then the answer must
be no, and if it's no, it must be yes, so
there is a contradiction in either case. A
logic in which it's possible to derive a
contradiction is of no use at all because
in such a logic true = false so anything
that can be proved to be true can also be
proved to be false, and vice versa.
Suppose doesn't contain itself. Well, then
it must be in S because S is the set of all
such sets.#check
Now suppose it does contain itself then it
must not contain itself, because contains
only sets that don't contain themselves.
This insight evolved out of work to place
all of mathematics on a logical foundation.
The attempt to place it on a foundation of
naive set theory failed. This failure led
to changes in set theory and also to the
emergence of an early form of set theory.
The key idea there was to rule out the
very idea of a set that contains itself,
as being non-sense. What you see in Lean's
type system is a modern instantiation of
the idea of stratified type universes in
which no type can have itself as a value.
-/
|
d5c7d8f5f99d860f240e702256d6372b1f359bfc | 6432ea7a083ff6ba21ea17af9ee47b9c371760f7 | /tests/lean/run/1869.lean | 16153196f597f73842a4d5f3bdab43191050785b | [
"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 | 547 | lean | universe v u u'
class CategoryStruct (C : Type u) :=
(Hom : C → C → Type v)
(id : ∀ X, Hom X X)
(comp : ∀ {X Y Z : C}, Hom X Y → Hom Y Z → Hom X Z)
class Category (C : Type u) extends CategoryStruct.{v} C :=
(comp_id : ∀ {X Y : C} (f : Hom X Y), comp f (id Y) = f)
open CategoryStruct
open Category
attribute [simp] comp_id
instance (C : Type u) [Category.{v} C] : Category.{v} (ULift.{u'} C) where
Hom := λ X Y => Hom X.down Y.down
id := λ X => id X.down
comp := λ f g => comp f g
comp_id := λ f => by simp
|
59ba1b8f305073944898ed4bc9a5908e175a4dbb | 4d2583807a5ac6caaffd3d7a5f646d61ca85d532 | /src/set_theory/schroeder_bernstein.lean | 52f837b608bbadd31398fd68897635e7a71693eb | [
"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 | 5,359 | lean | /-
Copyright (c) 2017 Johannes Hölzl. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Johannes Hölzl, Mario Carneiro
-/
import order.fixed_points
import order.zorn
/-!
# Schröder-Bernstein theorem, well-ordering of cardinals
This file proves the Schröder-Bernstein theorem (see `schroeder_bernstein`), the well-ordering of
cardinals (see `min_injective`) and the totality of their order (see `total`).
## Notes
Cardinals are naturally ordered by `α ≤ β ↔ ∃ f : a → β, injective f`:
* `schroeder_bernstein` states that, given injections `α → β` and `β → α`, one can get a
bijection `α → β`. This corresponds to the antisymmetry of the order.
* The order is also well-founded: any nonempty set of cardinals has a minimal element.
`min_injective` states that by saying that there exists an element of the set that injects into
all others.
Cardinals are defined and further developed in the file `set_theory.cardinal`.
-/
open set function
open_locale classical
universes u v
namespace function
namespace embedding
section antisymm
variables {α : Type u} {β : Type v}
/-- **The Schröder-Bernstein Theorem**:
Given injections `α → β` and `β → α`, we can get a bijection `α → β`. -/
theorem schroeder_bernstein {f : α → β} {g : β → α}
(hf : function.injective f) (hg : function.injective g) : ∃ h : α → β, bijective h :=
begin
casesI is_empty_or_nonempty β with hβ hβ,
{ haveI : is_empty α, from function.is_empty f,
exact ⟨_, ((equiv.equiv_empty α).trans (equiv.equiv_empty β).symm).bijective⟩ },
set F : set α →ₘ set α :=
{ to_fun := λ s, (g '' (f '' s)ᶜ)ᶜ,
monotone' := λ s t hst, compl_subset_compl.mpr $ image_subset _ $
compl_subset_compl.mpr $ image_subset _ hst },
set s : set α := F.lfp,
have hs : (g '' (f '' s)ᶜ)ᶜ = s, from F.map_lfp,
have hns : g '' (f '' s)ᶜ = sᶜ, from compl_injective (by simp [hs]),
set g' := inv_fun g,
have g'g : left_inverse g' g, from left_inverse_inv_fun hg,
have hg'ns : g' '' sᶜ = (f '' s)ᶜ, by rw [← hns, g'g.image_image],
set h : α → β := s.piecewise f g',
have : surjective h, by rw [← range_iff_surjective, range_piecewise, hg'ns, union_compl_self],
have : injective h,
{ refine (injective_piecewise_iff _).2 ⟨hf.inj_on _, _, _⟩,
{ intros x hx y hy hxy,
obtain ⟨x', hx', rfl⟩ : x ∈ g '' (f '' s)ᶜ, by rwa hns,
obtain ⟨y', hy', rfl⟩ : y ∈ g '' (f '' s)ᶜ, by rwa hns,
rw [g'g _, g'g _] at hxy, rw hxy },
{ intros x hx y hy hxy,
obtain ⟨y', hy', rfl⟩ : y ∈ g '' (f '' s)ᶜ, by rwa hns,
rw [g'g _] at hxy,
exact hy' ⟨x, hx, hxy⟩ } },
exact ⟨h, ‹injective h›, ‹surjective h›⟩
end
/-- **The Schröder-Bernstein Theorem**: Given embeddings `α ↪ β` and `β ↪ α`, there exists an
equivalence `α ≃ β`. -/
theorem antisymm : (α ↪ β) → (β ↪ α) → nonempty (α ≃ β)
| ⟨e₁, h₁⟩ ⟨e₂, h₂⟩ :=
let ⟨f, hf⟩ := schroeder_bernstein h₁ h₂ in
⟨equiv.of_bijective f hf⟩
end antisymm
section wo
parameters {ι : Type u} {β : ι → Type v}
@[reducible] private def sets := {s : set (∀ i, β i) |
∀ (x ∈ s) (y ∈ s) i, (x : ∀ i, β i) i = y i → x = y}
/-- The cardinals are well-ordered. We express it here by the fact that in any set of cardinals
there is an element that injects into the others. See `cardinal.linear_order` for (one of) the
lattice instance. -/
theorem min_injective (I : nonempty ι) : ∃ i, nonempty (∀ j, β i ↪ β j) :=
let ⟨s, hs, ms⟩ := show ∃ s ∈ sets, ∀ a ∈ sets, s ⊆ a → a = s, from
zorn.zorn_subset sets (λ c hc hcc, ⟨⋃₀ c,
λ x ⟨p, hpc, hxp⟩ y ⟨q, hqc, hyq⟩ i hi, (hcc.total hpc hqc).elim
(λ h, hc hqc x (h hxp) y hyq i hi) (λ h, hc hpc x hxp y (h hyq) i hi),
λ _, subset_sUnion_of_mem⟩) in
let ⟨i, e⟩ := show ∃ i, ∀ y, ∃ x ∈ s, (x : ∀ i, β i) i = y, from
classical.by_contradiction $ λ h,
have h : ∀ i, ∃ y, ∀ x ∈ s, (x : ∀ i, β i) i ≠ y,
by simpa only [not_exists, not_forall] using h,
let ⟨f, hf⟩ := classical.axiom_of_choice h in
have f ∈ s, from
have insert f s ∈ sets := λ x hx y hy, begin
cases hx; cases hy, {simp [hx, hy]},
{ subst x, exact λ i e, (hf i y hy e.symm).elim },
{ subst y, exact λ i e, (hf i x hx e).elim },
{ exact hs x hx y hy }
end, ms _ this (subset_insert f s) ▸ mem_insert _ _,
let ⟨i⟩ := I in hf i f this rfl in
let ⟨f, hf⟩ := classical.axiom_of_choice e in
⟨i, ⟨λ j, ⟨λ a, f a j, λ a b e',
let ⟨sa, ea⟩ := hf a, ⟨sb, eb⟩ := hf b in
by rw [← ea, ← eb, hs _ sa _ sb _ e']⟩⟩⟩
end wo
/-- The cardinals are totally ordered. See `cardinal.linear_order` for (one of) the lattice
instance. -/
theorem total {α : Type u} {β : Type v} : nonempty (α ↪ β) ∨ nonempty (β ↪ α) :=
match @min_injective bool (λ b, cond b (ulift α) (ulift.{(max u v) v} β)) ⟨tt⟩ with
| ⟨tt, ⟨h⟩⟩ := let ⟨f, hf⟩ := h ff in or.inl ⟨embedding.congr equiv.ulift equiv.ulift ⟨f, hf⟩⟩
| ⟨ff, ⟨h⟩⟩ := let ⟨f, hf⟩ := h tt in or.inr ⟨embedding.congr equiv.ulift equiv.ulift ⟨f, hf⟩⟩
end
end embedding
end function
|
4e51f8dcea93e86703512a7f220713a3b97561a7 | ccb7cdf8ebc2d015a000e8e7904952a36b910425 | /src/program.lean | 81425b210f6f58de0d78f81eb5e3999aebb4bff3 | [] | no_license | cipher1024/lean-pl | f7258bda55606b75e3e39deaf7ce8928ed177d66 | 829680605ac17e91038d793c0188e9614353ca25 | refs/heads/master | 1,592,558,951,987 | 1,565,043,356,000 | 1,565,043,531,000 | 196,661,367 | 1 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 6,995 | lean |
import heap.lemmas heap.tactic misc prop
import data.nat.basic
universes u
namespace separation
open memory finmap
variables (value : Type)
@[reducible]
def ST (α : Type) := state_t (heap value) set α
open state_t
variables {value} {α : Type}
include value
local notation `ST` := ST value
def read (p : ptr) : ST value :=
do m ← get,
match m.lookup p with
| none := @monad_lift set _ _ _ ∅
| (some x) := pure x
end
def assign (p : ptr) (v : value) : ST punit :=
modify (finmap.insert p v)
def assign_vals (p : ptr) (vs : list value) : ST punit :=
modify $ (∪ heap.mk (vs.enum_from p))
def choice (p : α → Prop) : ST α :=
@monad_lift set (state_t _ set) _ _ (p : set α)
def alloc (vs : list value) : ST ptr :=
do m ← get,
p ← choice $ λ p : ptr, ∀ i < vs.length, (p + i) ∉ m,
assign_vals p vs,
pure p
section
variable value
def alloc' (n : ℕ) : ST ptr :=
choice (λ v : list value, v.length = n) >>= alloc
def dealloc (p : ptr) (n : ℕ) : ST unit :=
do m ← get,
modify $ erase_all p n
end
def for' : Π (k : ℕ) (n : ℕ) (f : ℕ → ST punit), ST punit
| _ 0 f := pure punit.star
| k (nat.succ n) f := f k >> for' k.succ n f
def for : Π (n : ℕ) (f : ℕ → ST punit), ST punit
| 0 f := pure punit.star
| (nat.succ n) f := for n f >> f n
-- def clone (p : tptr (list value)) (n : ℕ) : ST ptr :=
-- do q ← alloc' value n,
-- for n (λ i,
-- do v ← read (p + i),
-- assign (q + i) v),
-- pure q
-- def map (p : ptr) (f : ℕ → value → value) (n : ℕ) : ST punit :=
-- for n (λ i,
-- do v ← read (p + i),
-- assign (p + i) (f i v) )
section talloc
-- open
variables (value) (α) [fixed_storable value α] (n : ℕ)
-- local notation `ST` := ST value
local notation `tptr` := tptr value
def malloc : ST (tptr (list value)) :=
tptr.mk _ _ <$> alloc' value n
def ralloc : ST (tptr (list α)) :=
tptr.mk _ _ <$> alloc' value (n * fixed_size value α)
def ralloc1 : ST (tptr α) :=
tptr.mk _ _ <$> alloc' value (fixed_size value α)
variables {α}
variables {value}
def free (p : tptr (list α)) (n : ℕ) : ST unit :=
dealloc value p.get (n * fixed_size value α)
end talloc
@[simp]
lemma mem_run_modify (x : punit) (h h' : heap value) (g : heap value → heap value) :
(x,h') ∈ (modify g : ST punit).run h ↔ h' = g h :=
by simp only [modify,state_t.modify,pure,state_t.run,punit.punit_eq_iff, true_and, id.def, iff_self, set.mem_singleton_iff, prod.mk.inj_iff, prod.map]
@[simp]
lemma mem_bind_run {β} (x' : β) (h h' : heap value) (f : ST α) (g : α → ST β) :
(x',h') ∈ (f >>= g).run h ↔ (∃ x'' h'', (x'',h'') ∈ f.run h ∧ (x',h') ∈ (g x'').run h'') :=
by simp only [exists_prop, state_t.run_bind, set.mem_Union, set.bind_def, iff_self, prod.exists]
@[simp]
lemma mem_choice_run (x' : α) (h h' : heap value) (p : α → Prop) :
(x',h') ∈ (choice p : ST α).run h ↔ p x' ∧ h' = h :=
by simp only [choice, set.mem_Union, set.bind_def, set.mem_singleton_iff, prod.mk.inj_iff, run_monad_lift, set.pure_def];
split; simp only [and_imp, exists_imp_distrib]; intros; try { subst x' }; repeat { split }; assumption
@[simp]
lemma mem_run_pure (x x' : α) (h h' : heap value) :
(x',h') ∈ (pure x : ST α).run h ↔ x' = x ∧ h' = h :=
by simp only [iff_self, set.mem_singleton_iff, prod.mk.inj_iff, set.pure_def, state_t.run_pure]
@[simp]
lemma mem_run_get (x' : heap value) (h h' : heap value) :
(x',h') ∈ (get : ST _).run h ↔ x' = h ∧ h' = h :=
by simp only [get, monad_state.lift, pure, set.mem_singleton_iff, prod.mk.inj_iff, id.def, state_t.run_get]
@[simp]
lemma mem_run_read (x' : value) (p : ptr) (h h' : heap value) :
(x',h') ∈ (read p : ST _).run h ↔ h.lookup p = some x' ∧ h' = h :=
begin
simp only [read, monad_state.lift, pure, exists_prop, set.mem_Union, set.bind_def, mem_run_get, prod.mk.inj_iff, run_bind, prod.exists], split,
{ rintro ⟨a,b,⟨h'',H⟩,H'⟩, cases h : (lookup p b); subst_vars; rw h at H'; simp [read] at H', cases H', casesm* _ ∧ _,
subst_vars, rw h, exact ⟨rfl,rfl⟩ },
{ rintro ⟨h,⟨⟩,⟨⟩⟩, refine ⟨_,_,⟨rfl,rfl⟩,_⟩, simp [h,read] }
end
section tactic
open tactic
omit value
meta def sane_names : tactic unit :=
do ls ← local_context,
ls.reverse.mmap' $ λ l,
when (l.local_pp_name.to_string.length > 5) $ do
t ← infer_type l,
n ← revert l,
let fn := t.get_app_fn,
let v := if fn.is_constant
then fn.const_name.update_prefix name.anonymous
else if fn.is_local_constant
then fn.local_pp_name
else `h,
v ← get_unused_name v,
intro $ mk_simple_name $ (v.to_string.to_list.take 1).as_string,
intron (n - 1),
skip
end tactic
open list
@[simp]
lemma mem_run_alloc_cons (v : value) (vs : list value) (h h' : heap value) (p : ptr) :
(p, h') ∈ (alloc (v :: vs)).run h ↔ ∃ h'', some h' = some h'' ⊗ some (maplet p v) ∧ p ∉ h ∧ (p+1, h'') ∈ (alloc vs).run h :=
begin
simp [alloc,assign_vals,enum_from], split; intro h; casesm * [Exists _, _ ∧ _]; subst_vars;
constructor_matching* [_ ∧ _, Exists _]; try { assumption <|> refl <|> sane_names },
{ have : disjoint (maplet p v) (heap.mk (enum_from (p + 1) vs)) := disjoint_maplet_heap_mk_add_one _ _,
rw [← union_eq_add_of_disjoint,union_comm_of_disjoint this,union_assoc],
rw disjoint_union_left, refine ⟨_,this.symm⟩,
symmetry, simp [disjoint_maplet], apply h_1 0 (nat.zero_lt_one_add _) },
{ apply h_1 0, linarith },
{ introv hi, specialize h_1 (1 + i) (nat.add_lt_add_left hi _),
rw ← nat.add_assoc at h_1, exact h_1, },
{ introv hi, cases i, { exact n },
specialize h_1 i, rw [← nat.succ_eq_add_one,nat.succ_add_eq_succ_add] at h_1,
rw [nat.add_comm,nat.succ_eq_add_one] at hi,
apply h_1 (nat.lt_of_add_lt_add_right hi) },
{ have : disjoint (maplet p v) (heap.mk (enum_from (p + 1) vs)),
{ simp },
rw [union_comm_of_disjoint this, ← union_assoc],
apply eq_union_of_eq_add e }
end
@[simp]
lemma mem_run_alloc (vs : list value) (h h' : heap value) (p : ptr) :
(p, h') ∈ (alloc vs).run h ↔ some h' = some h ⊗ some (heap.mk $ vs.enum_from p) :=
begin
induction vs generalizing p h',
{ simp [alloc,assign_vals,list.enum_from], },
{ simp only [some_mk_enum_from_cons, mem_run_alloc_cons, vs_ih, add_zero], split,
{ simp only [and_imp, exists_imp_distrib], intros h'' H₀ H₁ H₂,
simp only [*, memory.add_assoc, and_true, eq_self_iff_true], congr' 1,
rw memory.add_comm, },
{ rintro H₀, existsi h ∪ heap.mk (enum_from (p + 1) vs_tl),
rw [H₀,union_eq_add_of_disjoint,memory.add_assoc], split,
{ clear_except, congr' 1, apply memory.add_comm },
split, {
have : disjoint (maplet p vs_hd) h, prove_disjoint,
apply this, simp },
{ exact rfl },
prove_disjoint } }
end
end separation
|
ddc5f96ec99fac7836e4fee9105e35dd9f1f8950 | cf39355caa609c0f33405126beee2739aa3cb77e | /tests/lean/inst_error.lean | 5cdbb7209f779decdd1244ba4dfe5b51df12cd9e | [
"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 | 75 | lean | #check λ (A : Type) (a : A) (b c : _), if a = b ∧ a = c then tt else ff
|
0c007ea64755ad78f86645fa74fbc248c34b40ba | 6432ea7a083ff6ba21ea17af9ee47b9c371760f7 | /tests/playground/task_test2.lean | 3d0a8aa9ca17adac64fe854348076f98836317df | [
"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 | 451 | lean | def run1 (i : Nat) (n : Nat) (xs : List Nat) : Nat :=
n.repeat (fun r =>
dbgTrace (">> [" ++ toString i ++ "] " ++ toString r) $ fun _ =>
xs.foldl (fun a b => a + b) r)
0
def main (xs : List String) : IO UInt32 :=
let ys := (List.replicate xs.head.toNat 1);
let ts : List (Task Nat) := (List.iota 10).map (fun i => Task.mk $ fun _ => run1 (i+1) xs.head.toNat ys);
let ns : List Nat := ts.map Task.get;
IO.println (">> " ++ toString ns) *>
pure 0
|
cab97e89cf294c2337021073373f34ccfb076bcc | 947b78d97130d56365ae2ec264df196ce769371a | /stage0/src/Lean/Elab/Tactic/Rewrite.lean | af3c8dc6c7df90b443be53a17e64d892dba9b857 | [
"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 | 2,857 | lean | /-
Copyright (c) 2020 Microsoft Corporation. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Leonardo de Moura
-/
import Lean.Meta.Tactic.Rewrite
import Lean.Meta.Tactic.Replace
import Lean.Elab.Tactic.Basic
import Lean.Elab.Tactic.ElabTerm
import Lean.Elab.Tactic.Location
namespace Lean
namespace Elab
namespace Tactic
open Meta
@[builtinMacro Lean.Parser.Tactic.rewriteSeq] def expandRewriteTactic : Macro :=
fun stx =>
let seq := ((stx.getArg 1).getArg 1).getArgs.getSepElems;
let loc := stx.getArg 2;
pure $ mkNullNode $ seq.map fun rwRule => Syntax.node `Lean.Parser.Tactic.rewrite #[mkAtomFrom rwRule "rewrite ", rwRule, loc]
def rewriteTarget (stx : Syntax) (symm : Bool) : TacticM Unit := do
(g, gs) ← getMainGoal;
withMVarContext g do
e ← elabTerm stx none true;
gDecl ← getMVarDecl g;
target ← instantiateMVars gDecl.type;
r ← liftMetaM $ rewrite g target e symm;
g' ← liftMetaM $ replaceTargetEq g r.eNew r.eqProof;
setGoals (g' :: r.mvarIds ++ gs)
def rewriteLocalDeclFVarId (stx : Syntax) (symm : Bool) (fvarId : FVarId) : TacticM Unit := do
(g, gs) ← getMainGoal;
withMVarContext g do
e ← elabTerm stx none true;
localDecl ← getLocalDecl fvarId;
rwResult ← liftMetaM $ rewrite g localDecl.type e symm;
replaceResult ← liftMetaM $ replaceLocalDecl g fvarId rwResult.eNew rwResult.eqProof;
setGoals (replaceResult.mvarId :: rwResult.mvarIds ++ gs)
def rewriteLocalDecl (stx : Syntax) (symm : Bool) (userName : Name) : TacticM Unit := do
withMainMVarContext do
localDecl ← getLocalDeclFromUserName userName;
rewriteLocalDeclFVarId stx symm localDecl.fvarId
def rewriteAll (stx : Syntax) (symm : Bool) : TacticM Unit := do
worked ← try $ rewriteTarget stx symm;
withMainMVarContext do
lctx ← getLCtx;
worked ← lctx.getFVarIds.foldrM -- We must traverse backwards because `replaceLocalDecl` uses the revert/intro idiom
(fun fvarId worked => do
worked' ← try $ rewriteLocalDeclFVarId stx symm fvarId;
pure $ worked || worked')
worked;
unless worked do
(mvarId, _) ← getMainGoal;
liftMetaM $ throwTacticEx `rewrite mvarId ("did not find instance of the pattern in the current goal")
/-
```
def rwRule := parser! optional (unicodeSymbol "←" "<-") >> termParser
def «rewrite» := parser! "rewrite" >> rwRule >> optional location
```
-/
@[builtinTactic Lean.Parser.Tactic.rewrite] def evalRewrite : Tactic :=
fun stx => do
let rule := stx.getArg 1;
let symm := !(rule.getArg 0).isNone;
let term := rule.getArg 1;
let loc := expandOptLocation $ stx.getArg 2;
match loc with
| Location.target => rewriteTarget term symm
| Location.localDecls userNames => userNames.forM (rewriteLocalDecl term symm)
| Location.wildcard => rewriteAll term symm
end Tactic
end Elab
end Lean
|
15c5feffee9cbc9fb337db8e62d9907423bb959d | 69d4931b605e11ca61881fc4f66db50a0a875e39 | /src/ring_theory/witt_vector/compare.lean | ce660859a459955842823e0df2fc310027a7e7d7 | [
"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 | 8,288 | lean | /-
Copyright (c) 2020 Johan Commelin. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Johan Commelin, Robert Y. Lewis
-/
import ring_theory.witt_vector.truncated
import ring_theory.witt_vector.identities
import data.padics.ring_homs
/-!
# Comparison isomorphism between `witt_vector p (zmod p)` and `ℤ_[p]`
We construct a ring isomorphism between `witt_vector p (zmod p)` and `ℤ_[p]`.
This isomorphism follows from the fact that both satisfy the universal property
of the inverse limit of `zmod (p^n)`.
## Main declarations
* `witt_vector.to_zmod_pow`: a family of compatible ring homs `𝕎 (zmod p) → zmod (p^k)`
* `witt_vector.equiv`: the isomorphism
## References
* [Hazewinkel, *Witt Vectors*][Haze09]
* [Commelin and Lewis, *Formalizing the Ring of Witt Vectors*][CL21]
-/
noncomputable theory
variables {p : ℕ} [hp : fact p.prime]
local notation `𝕎` := witt_vector p
include hp
namespace truncated_witt_vector
variables (p) (n : ℕ) (R : Type*) [comm_ring R]
lemma eq_of_le_of_cast_pow_eq_zero [char_p R p] (i : ℕ) (hin : i ≤ n)
(hpi : (p ^ i : truncated_witt_vector p n R) = 0) :
i = n :=
begin
contrapose! hpi,
replace hin := lt_of_le_of_ne hin hpi, clear hpi,
have : (↑p ^ i : truncated_witt_vector p n R) = witt_vector.truncate n (↑p ^ i),
{ rw [ring_hom.map_pow, ring_hom.map_nat_cast] },
rw [this, ext_iff, not_forall], clear this,
use ⟨i, hin⟩,
rw [witt_vector.coeff_truncate, coeff_zero, fin.coe_mk, witt_vector.coeff_p_pow],
haveI : nontrivial R := char_p.nontrivial_of_char_ne_one hp.1.ne_one,
exact one_ne_zero
end
section iso
variables (p n) {R}
lemma card_zmod : fintype.card (truncated_witt_vector p n (zmod p)) = p ^ n :=
by rw [card, zmod.card]
lemma char_p_zmod : char_p (truncated_witt_vector p n (zmod p)) (p ^ n) :=
char_p_of_prime_pow_injective _ _ _ (card_zmod _ _)
(eq_of_le_of_cast_pow_eq_zero p n (zmod p))
local attribute [instance] char_p_zmod
/--
The unique isomorphism between `zmod p^n` and `truncated_witt_vector p n (zmod p)`.
This isomorphism exists, because `truncated_witt_vector p n (zmod p)` is a finite ring
with characteristic and cardinality `p^n`.
-/
def zmod_equiv_trunc : zmod (p^n) ≃+* truncated_witt_vector p n (zmod p) :=
zmod.ring_equiv (truncated_witt_vector p n (zmod p)) (card_zmod _ _)
lemma zmod_equiv_trunc_apply {x : zmod (p^n)} :
zmod_equiv_trunc p n x = zmod.cast_hom (by refl) (truncated_witt_vector p n (zmod p)) x :=
rfl
/--
The following diagram commutes:
```text
zmod (p^n) ----------------------------> zmod (p^m)
| |
| |
v v
truncated_witt_vector p n (zmod p) ----> truncated_witt_vector p m (zmod p)
```
Here the vertical arrows are `truncated_witt_vector.zmod_equiv_trunc`,
the horizontal arrow at the top is `zmod.cast_hom`,
and the horizontal arrow at the bottom is `truncated_witt_vector.truncate`.
-/
lemma commutes {m : ℕ} (hm : n ≤ m) :
(truncate hm).comp (zmod_equiv_trunc p m).to_ring_hom =
(zmod_equiv_trunc p n).to_ring_hom.comp (zmod.cast_hom (pow_dvd_pow p hm) _) :=
ring_hom.ext_zmod _ _
lemma commutes' {m : ℕ} (hm : n ≤ m) (x : zmod (p^m)) :
truncate hm (zmod_equiv_trunc p m x) =
zmod_equiv_trunc p n (zmod.cast_hom (pow_dvd_pow p hm) _ x) :=
show (truncate hm).comp (zmod_equiv_trunc p m).to_ring_hom x = _,
by rw commutes _ _ hm; refl
lemma commutes_symm' {m : ℕ} (hm : n ≤ m) (x : truncated_witt_vector p m (zmod p)) :
(zmod_equiv_trunc p n).symm (truncate hm x) =
zmod.cast_hom (pow_dvd_pow p hm) _ ((zmod_equiv_trunc p m).symm x) :=
begin
apply (zmod_equiv_trunc p n).injective,
rw ← commutes',
simp
end
/--
The following diagram commutes:
```text
truncated_witt_vector p n (zmod p) ----> truncated_witt_vector p m (zmod p)
| |
| |
v v
zmod (p^n) ----------------------------> zmod (p^m)
```
Here the vertical arrows are `(truncated_witt_vector.zmod_equiv_trunc p _).symm`,
the horizontal arrow at the top is `zmod.cast_hom`,
and the horizontal arrow at the bottom is `truncated_witt_vector.truncate`.
-/
lemma commutes_symm {m : ℕ} (hm : n ≤ m) :
(zmod_equiv_trunc p n).symm.to_ring_hom.comp (truncate hm) =
(zmod.cast_hom (pow_dvd_pow p hm) _).comp (zmod_equiv_trunc p m).symm.to_ring_hom :=
by ext; apply commutes_symm'
end iso
end truncated_witt_vector
namespace witt_vector
open truncated_witt_vector
variables (p)
/--
`to_zmod_pow` is a family of compatible ring homs. We get this family by composing
`truncated_witt_vector.zmod_equiv_trunc` (in right-to-left direction)
with `witt_vector.truncate`.
-/
def to_zmod_pow (k : ℕ) : 𝕎 (zmod p) →+* zmod (p ^ k) :=
(zmod_equiv_trunc p k).symm.to_ring_hom.comp (truncate k)
lemma to_zmod_pow_compat (m n : ℕ) (h : m ≤ n) :
(zmod.cast_hom (pow_dvd_pow p h) (zmod (p ^ m))).comp (to_zmod_pow p n) = to_zmod_pow p m :=
calc (zmod.cast_hom _ (zmod (p ^ m))).comp
((zmod_equiv_trunc p n).symm.to_ring_hom.comp (truncate n)) =
((zmod_equiv_trunc p m).symm.to_ring_hom.comp
(truncated_witt_vector.truncate h)).comp (truncate n) :
by rw [commutes_symm, ring_hom.comp_assoc]
... = (zmod_equiv_trunc p m).symm.to_ring_hom.comp (truncate m) :
by rw [ring_hom.comp_assoc, truncate_comp_witt_vector_truncate]
/--
`to_padic_int` lifts `to_zmod_pow : 𝕎 (zmod p) →+* zmod (p ^ k)` to a ring hom to `ℤ_[p]`
using `padic_int.lift`, the universal property of `ℤ_[p]`.
-/
def to_padic_int : 𝕎 (zmod p) →+* ℤ_[p] := padic_int.lift $ to_zmod_pow_compat p
lemma zmod_equiv_trunc_compat (k₁ k₂ : ℕ) (hk : k₁ ≤ k₂) :
(truncated_witt_vector.truncate hk).comp
((zmod_equiv_trunc p k₂).to_ring_hom.comp
(padic_int.to_zmod_pow k₂)) =
(zmod_equiv_trunc p k₁).to_ring_hom.comp (padic_int.to_zmod_pow k₁) :=
by rw [← ring_hom.comp_assoc, commutes, ring_hom.comp_assoc, padic_int.zmod_cast_comp_to_zmod_pow]
/--
`from_padic_int` uses `witt_vector.lift` to lift `truncated_witt_vector.zmod_equiv_trunc`
composed with `padic_int.to_zmod_pow` to a ring hom `ℤ_[p] →+* 𝕎 (zmod p)`.
-/
def from_padic_int : ℤ_[p] →+* 𝕎 (zmod p) :=
witt_vector.lift (λ k, (zmod_equiv_trunc p k).to_ring_hom.comp (padic_int.to_zmod_pow k)) $
zmod_equiv_trunc_compat _
lemma to_padic_int_comp_from_padic_int :
(to_padic_int p).comp (from_padic_int p) = ring_hom.id ℤ_[p] :=
begin
rw ← padic_int.to_zmod_pow_eq_iff_ext,
intro n,
rw [← ring_hom.comp_assoc, to_padic_int, padic_int.lift_spec],
simp only [from_padic_int, to_zmod_pow, ring_hom.comp_id],
rw [ring_hom.comp_assoc, truncate_comp_lift, ← ring_hom.comp_assoc],
simp only [ring_equiv.symm_to_ring_hom_comp_to_ring_hom, ring_hom.id_comp]
end
lemma to_padic_int_comp_from_padic_int_ext (x) :
(to_padic_int p).comp (from_padic_int p) x = ring_hom.id ℤ_[p] x :=
by rw to_padic_int_comp_from_padic_int
lemma from_padic_int_comp_to_padic_int :
(from_padic_int p).comp (to_padic_int p) = ring_hom.id (𝕎 (zmod p)) :=
begin
apply witt_vector.hom_ext,
intro n,
rw [from_padic_int, ← ring_hom.comp_assoc, truncate_comp_lift, ring_hom.comp_assoc],
simp only [to_padic_int, to_zmod_pow, ring_hom.comp_id, padic_int.lift_spec, ring_hom.id_comp,
← ring_hom.comp_assoc, ring_equiv.to_ring_hom_comp_symm_to_ring_hom]
end
lemma from_padic_int_comp_to_padic_int_ext (x) :
(from_padic_int p).comp (to_padic_int p) x = ring_hom.id (𝕎 (zmod p)) x :=
by rw from_padic_int_comp_to_padic_int
/--
The ring of Witt vectors over `zmod p` is isomorphic to the ring of `p`-adic integers. This
equivalence is witnessed by `witt_vector.to_padic_int` with inverse `witt_vector.from_padic_int`.
-/
def equiv : 𝕎 (zmod p) ≃+* ℤ_[p] :=
{ to_fun := to_padic_int p,
inv_fun := from_padic_int p,
left_inv := from_padic_int_comp_to_padic_int_ext _,
right_inv := to_padic_int_comp_from_padic_int_ext _,
map_mul' := ring_hom.map_mul _,
map_add' := ring_hom.map_add _ }
end witt_vector
|
6c9b8ae1ae1ff319906a3dadb5693e93225f8bad | 82e44445c70db0f03e30d7be725775f122d72f3e | /src/linear_algebra/direct_sum_module.lean | 84bcb9777947b2a5b3025e566b3619460daa9023 | [
"Apache-2.0"
] | permissive | stjordanis/mathlib | 51e286d19140e3788ef2c470bc7b953e4991f0c9 | 2568d41bca08f5d6bf39d915434c8447e21f42ee | refs/heads/master | 1,631,748,053,501 | 1,627,938,886,000 | 1,627,938,886,000 | 228,728,358 | 0 | 0 | Apache-2.0 | 1,576,630,588,000 | 1,576,630,587,000 | null | UTF-8 | Lean | false | false | 6,454 | lean | /-
Copyright (c) 2018 Kenny Lau. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Kenny Lau
Direct sum of modules over commutative rings, indexed by a discrete type.
-/
import algebra.direct_sum
import linear_algebra.dfinsupp
/-!
# Direct sum of modules over commutative rings, indexed by a discrete type.
This file provides constructors for finite direct sums of modules.
It provides a construction of the direct sum using the universal property and proves
its uniqueness.
## Implementation notes
All of this file assumes that
* `R` is a commutative ring,
* `ι` is a discrete type,
* `S` is a finite set in `ι`,
* `M` is a family of `R` modules indexed over `ι`.
-/
universes u v w u₁
variables (R : Type u) [semiring R]
variables (ι : Type v) [dec_ι : decidable_eq ι] (M : ι → Type w)
variables [Π i, add_comm_monoid (M i)] [Π i, module R (M i)]
include R
namespace direct_sum
open_locale direct_sum
variables {R ι M}
instance : module R (⨁ i, M i) := dfinsupp.module
instance {S : Type*} [semiring S] [Π i, module S (M i)] [Π i, smul_comm_class R S (M i)] :
smul_comm_class R S (⨁ i, M i) := dfinsupp.smul_comm_class
instance {S : Type*} [semiring S] [has_scalar R S] [Π i, module S (M i)]
[Π i, is_scalar_tower R S (M i)] :
is_scalar_tower R S (⨁ i, M i) := dfinsupp.is_scalar_tower
lemma smul_apply (b : R) (v : ⨁ i, M i) (i : ι) :
(b • v) i = b • (v i) := dfinsupp.smul_apply _ _ _
include dec_ι
variables R ι M
/-- Create the direct sum given a family `M` of `R` modules indexed over `ι`. -/
def lmk : Π s : finset ι, (Π i : (↑s : set ι), M i.val) →ₗ[R] (⨁ i, M i) :=
dfinsupp.lmk
/-- Inclusion of each component into the direct sum. -/
def lof : Π i : ι, M i →ₗ[R] (⨁ i, M i) :=
dfinsupp.lsingle
variables {ι M}
lemma single_eq_lof (i : ι) (b : M i) :
dfinsupp.single i b = lof R ι M i b := rfl
/-- Scalar multiplication commutes with direct sums. -/
theorem mk_smul (s : finset ι) (c : R) (x) : mk M s (c • x) = c • mk M s x :=
(lmk R ι M s).map_smul c x
/-- Scalar multiplication commutes with the inclusion of each component into the direct sum. -/
theorem of_smul (i : ι) (c : R) (x) : of M i (c • x) = c • of M i x :=
(lof R ι M i).map_smul c x
variables {R}
lemma support_smul [Π (i : ι) (x : M i), decidable (x ≠ 0)]
(c : R) (v : ⨁ i, M i) : (c • v).support ⊆ v.support := dfinsupp.support_smul _ _
variables {N : Type u₁} [add_comm_monoid N] [module R N]
variables (φ : Π i, M i →ₗ[R] N)
variables (R ι N φ)
/-- The linear map constructed using the universal property of the coproduct. -/
def to_module : (⨁ i, M i) →ₗ[R] N :=
dfinsupp.lsum ℕ φ
/-- Coproducts in the categories of modules and additive monoids commute with the forgetful functor
from modules to additive monoids. -/
lemma coe_to_module_eq_coe_to_add_monoid :
(to_module R ι N φ : (⨁ i, M i) → N) = to_add_monoid (λ i, (φ i).to_add_monoid_hom) :=
rfl
variables {ι N φ}
/-- The map constructed using the universal property gives back the original maps when
restricted to each component. -/
@[simp] lemma to_module_lof (i) (x : M i) : to_module R ι N φ (lof R ι M i x) = φ i x :=
to_add_monoid_of (λ i, (φ i).to_add_monoid_hom) i x
variables (ψ : (⨁ i, M i) →ₗ[R] N)
/-- Every linear map from a direct sum agrees with the one obtained by applying
the universal property to each of its components. -/
theorem to_module.unique (f : ⨁ i, M i) : ψ f = to_module R ι N (λ i, ψ.comp $ lof R ι M i) f :=
to_add_monoid.unique ψ.to_add_monoid_hom f
variables {ψ} {ψ' : (⨁ i, M i) →ₗ[R] N}
theorem to_module.ext (H : ∀ i, ψ.comp (lof R ι M i) = ψ'.comp (lof R ι M i)) (f : ⨁ i, M i) :
ψ f = ψ' f :=
by rw dfinsupp.lhom_ext' H
/--
The inclusion of a subset of the direct summands
into a larger subset of the direct summands, as a linear map.
-/
def lset_to_set (S T : set ι) (H : S ⊆ T) :
(⨁ (i : S), M i) →ₗ (⨁ (i : T), M i) :=
to_module R _ _ $ λ i, lof R T (λ (i : subtype T), M i) ⟨i, H i.prop⟩
omit dec_ι
/-- The natural linear equivalence between `⨁ _ : ι, M` and `M` when `unique ι`. -/
protected def lid (M : Type v) (ι : Type* := punit) [add_comm_monoid M] [module R M]
[unique ι] :
(⨁ (_ : ι), M) ≃ₗ M :=
{ .. direct_sum.id M ι,
.. to_module R ι M (λ i, linear_map.id) }
variables (ι M)
/-- The projection map onto one component, as a linear map. -/
def component (i : ι) : (⨁ i, M i) →ₗ[R] M i :=
dfinsupp.lapply i
variables {ι M}
lemma apply_eq_component (f : ⨁ i, M i) (i : ι) :
f i = component R ι M i f := rfl
@[ext] lemma ext {f g : ⨁ i, M i}
(h : ∀ i, component R ι M i f = component R ι M i g) : f = g :=
dfinsupp.ext h
lemma ext_iff {f g : ⨁ i, M i} : f = g ↔
∀ i, component R ι M i f = component R ι M i g :=
⟨λ h _, by rw h, ext R⟩
include dec_ι
@[simp] lemma lof_apply (i : ι) (b : M i) : ((lof R ι M i) b) i = b :=
dfinsupp.single_eq_same
@[simp] lemma component.lof_self (i : ι) (b : M i) :
component R ι M i ((lof R ι M i) b) = b :=
lof_apply R i b
lemma component.of (i j : ι) (b : M j) :
component R ι M i ((lof R ι M j) b) =
if h : j = i then eq.rec_on h b else 0 :=
dfinsupp.single_apply
/-- The `direct_sum` formed by a collection of `submodule`s of `M` is said to be internal if the
canonical map `(⨁ i, A i) →ₗ[R] M` is bijective. -/
def submodule_is_internal {R M : Type*}
[semiring R] [add_comm_monoid M] [module R M]
(A : ι → submodule R M) : Prop :=
function.bijective (to_module R ι M (λ i, (A i).subtype))
lemma submodule_is_internal.to_add_submonoid {R M : Type*}
[semiring R] [add_comm_monoid M] [module R M] (A : ι → submodule R M) :
submodule_is_internal A ↔ add_submonoid_is_internal (λ i, (A i).to_add_submonoid) :=
iff.rfl
lemma submodule_is_internal.to_add_subgroup {R M : Type*}
[ring R] [add_comm_group M] [module R M] (A : ι → submodule R M) :
submodule_is_internal A ↔ add_subgroup_is_internal (λ i, (A i).to_add_subgroup) :=
iff.rfl
lemma submodule_is_internal.supr_eq_top {R M : Type*}
[semiring R] [add_comm_monoid M] [module R M] (A : ι → submodule R M)
(h : submodule_is_internal A) : supr A = ⊤ :=
begin
rw [submodule.supr_eq_range_dfinsupp_lsum, linear_map.range_eq_top],
exact function.bijective.surjective h,
end
end direct_sum
|
694d5a4a2b7085bc0c5ec2417e6318c9ef9578af | c391c9c325aa6efef8b2b66f2de9b317e9d07740 | /src/w_pullback.lean | 1c46c0c851afb52354e65fbe1c1b39df8cfdbf5e | [
"MIT"
] | permissive | goodlyrottenapple/lean-internal-cats | 96592a87f0c8cc03b2592c55098fdee86a25d1cf | fa9df99c2e852598b521b7b3ed8df3e4cb4853b6 | refs/heads/master | 1,601,182,654,282 | 1,578,409,845,000 | 1,578,409,845,000 | 226,436,434 | 0 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 6,768 | lean | import category_theory.category
import category_theory.limits.limits
import category_theory.limits.shapes
open category_theory
open category_theory.limits
universes v u -- declare the `v`'s first; see `category_theory.category` for an explanation
local attribute [tidy] tactic.case_bash
@[derive decidable_eq] inductive walking_w : Type v
| left | middle | right | one | two
instance fintype_walking_w : fintype walking_w :=
{ elems := [walking_w.left, walking_w.middle, walking_w.right, walking_w.one, walking_w.two].to_finset,
complete := λ x, by { cases x; simp } }
namespace walking_w
/-- The arrows in a pullback diagram. -/
inductive hom : walking_w → walking_w → Type v
| inl1 : hom left one
| inr1 : hom middle one
| inl2 : hom middle two
| inr2 : hom right two
| id : Π X : walking_w.{v}, hom X X
open hom
def hom.comp : Π (X Y Z : walking_w) (f : hom X Y) (g : hom Y Z), hom X Z
| _ _ _ (id _) h := h
| _ _ _ inl1 (id one) := inl1
| _ _ _ inr1 (id one) := inr1
| _ _ _ inl2 (id two) := inl2
| _ _ _ inr2 (id two) := inr2
.
instance category_struct : category_struct walking_w :=
{ hom := hom,
id := hom.id,
comp := hom.comp, }
instance (X Y : walking_w) : subsingleton (X ⟶ Y) := begin tidy end
-- We make this a @[simp] lemma later; if we do it now there's a mysterious
-- failure in `cospan`, below.
lemma hom_id (X : walking_w.{v}) : hom.id X = 𝟙 X := rfl
/-- The walking_cospan is the index diagram for a pullback. -/
instance : small_category.{v} walking_w.{v} := sparse_category
end walking_w
open walking_w walking_w.hom
variables {C : Type u} [𝒞 : category.{v} C]
include 𝒞
/-- `cospan f g` is the functor from the walking cospan hitting `f` and `g`. -/
def w_cospan {X Y V W Z : C} (f1 : X ⟶ W) (g1 : Y ⟶ W) (f2 : Y ⟶ Z) (g2 : V ⟶ Z) : walking_w.{v} ⥤ C :=
{ obj := λ x, match x with
| left := X
| middle := Y
| right := V
| one := W
| two := Z
end,
map := λ x y h, match x, y, h with
| _, _, (id _) := 𝟙 _
| _, _, inl1 := f1
| _, _, inr1 := g1
| _, _, inl2 := f2
| _, _, inr2 := g2
end }
@[simp] lemma w_cospan_left {X Y V W Z : C} (f1 : X ⟶ W) (g1 : Y ⟶ W) (f2 : Y ⟶ Z) (g2 : V ⟶ Z) :
(w_cospan f1 g1 f2 g2).obj walking_w.left = X := rfl
@[simp] lemma w_cospan_middle {X Y V W Z : C} (f1 : X ⟶ W) (g1 : Y ⟶ W) (f2 : Y ⟶ Z) (g2 : V ⟶ Z) :
(w_cospan f1 g1 f2 g2).obj walking_w.middle = Y := rfl
@[simp] lemma w_cospan_right {X Y V W Z : C} (f1 : X ⟶ W) (g1 : Y ⟶ W) (f2 : Y ⟶ Z) (g2 : V ⟶ Z) :
(w_cospan f1 g1 f2 g2).obj walking_w.right = V := rfl
@[simp] lemma w_cospan_one {X Y V W Z : C} (f1 : X ⟶ W) (g1 : Y ⟶ W) (f2 : Y ⟶ Z) (g2 : V ⟶ Z) :
(w_cospan f1 g1 f2 g2).obj walking_w.one = W := rfl
@[simp] lemma w_cospan_two {X Y V W Z : C} (f1 : X ⟶ W) (g1 : Y ⟶ W) (f2 : Y ⟶ Z) (g2 : V ⟶ Z) :
(w_cospan f1 g1 f2 g2).obj walking_w.two = Z := rfl
@[simp] lemma w_cospan_map_inl1 {X Y V W Z : C} (f1 : X ⟶ W) (g1 : Y ⟶ W) (f2 : Y ⟶ Z) (g2 : V ⟶ Z) :
(w_cospan f1 g1 f2 g2).map walking_w.hom.inl1 = f1 := rfl
@[simp] lemma w_cospan_map_inr1 {X Y V W Z : C} (f1 : X ⟶ W) (g1 : Y ⟶ W) (f2 : Y ⟶ Z) (g2 : V ⟶ Z) :
(w_cospan f1 g1 f2 g2).map walking_w.hom.inr1 = g1 := rfl
@[simp] lemma w_cospan_map_inl2 {X Y V W Z : C} (f1 : X ⟶ W) (g1 : Y ⟶ W) (f2 : Y ⟶ Z) (g2 : V ⟶ Z) :
(w_cospan f1 g1 f2 g2).map walking_w.hom.inl2 = f2 := rfl
@[simp] lemma w_cospan_map_inr2 {X Y V W Z : C} (f1 : X ⟶ W) (g1 : Y ⟶ W) (f2 : Y ⟶ Z) (g2 : V ⟶ Z) :
(w_cospan f1 g1 f2 g2).map walking_w.hom.inr2 = g2 := rfl
@[simp] lemma w_cospan_map_id1 {X Y V W Z : C} (f1 : X ⟶ W) (g1 : Y ⟶ W) (f2 : Y ⟶ Z) (g2 : V ⟶ Z) (w : walking_w) :
(w_cospan f1 g1 f2 g2).map (walking_w.hom.id w) = 𝟙 _ := rfl
variables {X Y V W Z : C}
attribute [simp] walking_w.hom_id
abbreviation w_pullback_cone (f1 : X ⟶ W) (g1 : Y ⟶ W) (f2 : Y ⟶ Z) (g2 : V ⟶ Z) := cone (w_cospan f1 g1 f2 g2)
namespace w_pullback_cone
variables {f1 : X ⟶ W} {g1 : Y ⟶ W} {f2 : Y ⟶ Z} {g2 : V ⟶ Z}
abbreviation fst (t : w_pullback_cone f1 g1 f2 g2) : t.X ⟶ X := t.π.app left
abbreviation mid (t : w_pullback_cone f1 g1 f2 g2) : t.X ⟶ Y := t.π.app middle
abbreviation snd (t : w_pullback_cone f1 g1 f2 g2) : t.X ⟶ V := t.π.app right
def mk {P : C} (fst : P ⟶ X) (mid : P ⟶ Y) (snd : P ⟶ V) (eq1 : fst ≫ f1 = mid ≫ g1) (eq2 : mid ≫ f2 = snd ≫ g2) : w_pullback_cone f1 g1 f2 g2 :=
{ X := P,
π :=
{ app := λ j, walking_w.cases_on j fst mid snd (fst ≫ f1) (mid ≫ f2),
naturality' := λ j j' f, begin cases f; obviously end } }
end w_pullback_cone
abbreviation w_pullback {X Y V W Z : C} (f1 : X ⟶ W) (g1 : Y ⟶ W) (f2 : Y ⟶ Z) (g2 : V ⟶ Z) [has_limit (w_cospan f1 g1 f2 g2)] :=
limit (w_cospan f1 g1 f2 g2)
abbreviation w_pullback.fst {X Y V W Z : C} {f1 : X ⟶ W} {g1 : Y ⟶ W} {f2 : Y ⟶ Z} {g2 : V ⟶ Z} [has_limit (w_cospan f1 g1 f2 g2)] : w_pullback f1 g1 f2 g2 ⟶ X :=
limit.π (w_cospan f1 g1 f2 g2) walking_w.left
abbreviation w_pullback.mid {X Y V W Z : C} {f1 : X ⟶ W} {g1 : Y ⟶ W} {f2 : Y ⟶ Z} {g2 : V ⟶ Z} [has_limit (w_cospan f1 g1 f2 g2)] : w_pullback f1 g1 f2 g2 ⟶ Y :=
limit.π (w_cospan f1 g1 f2 g2) walking_w.middle
abbreviation w_pullback.snd {X Y V W Z : C} {f1 : X ⟶ W} {g1 : Y ⟶ W} {f2 : Y ⟶ Z} {g2 : V ⟶ Z} [has_limit (w_cospan f1 g1 f2 g2)] : w_pullback f1 g1 f2 g2 ⟶ V :=
limit.π (w_cospan f1 g1 f2 g2) walking_w.right
abbreviation w_pullback.lift {P X Y V W Z : C} {f1 : X ⟶ W} {g1 : Y ⟶ W} {f2 : Y ⟶ Z} {g2 : V ⟶ Z} [has_limit (w_cospan f1 g1 f2 g2)]
(h : P ⟶ X) (j : P ⟶ Y) (k : P ⟶ V) (w1 : h ≫ f1 = j ≫ g1) (w2 : j ≫ f2 = k ≫ g2) : P ⟶ w_pullback f1 g1 f2 g2 :=
limit.lift _ (w_pullback_cone.mk h j k w1 w2)
lemma w_pullback.condition1 {X Y V W Z : C} {f1 : X ⟶ W} {g1 : Y ⟶ W} {f2 : Y ⟶ Z} {g2 : V ⟶ Z} [has_limit (w_cospan f1 g1 f2 g2)] :
(w_pullback.fst : w_pullback f1 g1 f2 g2 ⟶ X) ≫ f1 = w_pullback.mid ≫ g1 :=
(limit.w (w_cospan f1 g1 f2 g2) walking_w.hom.inl1).trans
(limit.w (w_cospan f1 g1 f2 g2) walking_w.hom.inr1).symm
lemma w_pullback.condition2 {X Y V W Z : C} {f1 : X ⟶ W} {g1 : Y ⟶ W} {f2 : Y ⟶ Z} {g2 : V ⟶ Z} [has_limit (w_cospan f1 g1 f2 g2)] :
(w_pullback.mid : w_pullback f1 g1 f2 g2 ⟶ Y) ≫ f2 = w_pullback.snd ≫ g2 :=
(limit.w (w_cospan f1 g1 f2 g2) walking_w.hom.inl2).trans
(limit.w (w_cospan f1 g1 f2 g2) walking_w.hom.inr2).symm
lemma w_pullback.condition2' {X Y V W Z : C} {f1 : X ⟶ W} {g1 : Y ⟶ W} {f2 : Y ⟶ Z} {g2 : V ⟶ Z} [has_limit (w_cospan f1 g1 f2 g2)] :
(w_pullback.snd : w_pullback f1 g1 f2 g2 ⟶ V) ≫ g2 = w_pullback.mid ≫ f2 :=
by simp[w_pullback.condition2]
|
3bb8b7d01b2035b9a72965e7e3d7dbcdd93e5227 | 74addaa0e41490cbaf2abd313a764c96df57b05d | /Mathlib/Lean3Lib/init/meta/pexpr.lean | 81d2435f59604d4a84128b2880ec88cbe3a979ba | [] | 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 | 459 | 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
-/
import Mathlib.PrePort
import Mathlib.Lean3Lib.init.meta.expr
namespace Mathlib
/-- Quoted expressions. They can be converted into expressions by using a tactic. -/
/-- Choice macros are used to implement overloading. -/
/-- Information about unelaborated structure instance expressions. -/
|
abe36e8849d4ada8c2e099c3d9a9dc6a6feeb556 | 36938939954e91f23dec66a02728db08a7acfcf9 | /lean4/deps/llvm-tablegen-support/lean/DecodeX86.lean | da756df2e9cc97c0c249308d036c2c48a9ecb608 | [] | no_license | pnwamk/reopt-vcg | f8b56dd0279392a5e1c6aee721be8138e6b558d3 | c9f9f185fbefc25c36c4b506bbc85fd1a03c3b6d | refs/heads/master | 1,631,145,017,772 | 1,593,549,019,000 | 1,593,549,143,000 | 254,191,418 | 0 | 0 | null | 1,586,377,077,000 | 1,586,377,077,000 | null | UTF-8 | Lean | false | false | 9,641 | lean |
namespace decodex86
@[reducible]
def regN := String
structure register :=
(top : regN)
(reg : regN)
(width : Nat)
(offset : Nat)
def register_to_String : register -> String := fun r =>
String.intercalate " " ["(", "R", r.top, r.reg, repr r.width, repr r.offset, ")"]
instance register_has_repr : HasRepr register := ⟨register_to_String⟩
-- We don't care about most of these.
-- static const char * oNArr[] = {
-- "AVX512ICC",
-- "AVX512RC",
-- "AVXCC",
-- "BNDR",
-- "CCR",
-- "CONTROL_REG",
-- "DEBUG_REG",
-- "DFCCR",
-- "FPCCR",
-- "FR32",
-- "FR32X",
-- "FR64",
-- "FR64X",
-- "GR16",
-- "GR16_ABCD",
-- "GR16_NOREX",
-- "GR32",
-- "GR32_ABCD",
-- "GR32_AD",
-- "GR32_NOREX",
-- "GR32_NOREX_NOSP",
-- "GR32_NOSP",
-- "GR32_TC",
-- "GR32orGR64",
-- "GR64",
-- "GR64_ABCD",
-- "GR64_AD",
-- "GR64_NOREX",
-- "GR64_NOREX_NOSP",
-- "GR64_NOSP",
-- "GR64_TC",
-- "GR64_TCW64",
-- "GR8",
-- "GR8_ABCD_H",
-- "GR8_ABCD_L",
-- "GR8_NOREX",
-- "GRH16",
-- "GRH8",
-- "LOW32_ADDR_ACCESS",
-- "LOW32_ADDR_ACCESS_RBP",
-- "RFP32",
-- "RFP64",
-- "RFP80",
-- "RST",
-- "SEGMENT_REG",
-- "SSECC",
-- "VK1",
-- "VK16",
-- "VK16WM",
-- "VK1WM",
-- "VK2",
-- "VK2WM",
-- "VK32",
-- "VK32WM",
-- "VK4",
-- "VK4WM",
-- "VK64",
-- "VK64WM",
-- "VK8",
-- "VK8WM",
-- "VR128",
-- "VR128H",
-- "VR128L",
-- "VR128X",
-- "VR256",
-- "VR256H",
-- "VR256L",
-- "VR256X",
-- "VR512",
-- "VR64",
-- "XOPCC",
-- "anymem",
-- "brtarget",
-- "brtarget16",
-- "brtarget32",
-- "brtarget8",
-- "dstidx16",
-- "dstidx32",
-- "dstidx64",
-- "dstidx8",
-- "f128mem",
-- "f256mem",
-- "f32imm",
-- "f32mem",
-- "f512mem",
-- "f64imm",
-- "f64mem",
-- "f80mem",
-- "i128mem",
-- "i16i8imm",
-- "i16imm",
-- "i16imm_pcrel",
-- "i16mem",
-- "i1imm",
-- "i256mem",
-- "i32i8imm",
-- "i32imm",
-- "i32imm_pcrel",
-- "i32mem",
-- "i32mem_TC",
-- "i32u8imm",
-- "i512mem",
-- "i64i32imm",
-- "i64i32imm_pcrel",
-- "i64i8imm",
-- "i64imm",
-- "i64mem",
-- "i64mem_TC",
-- "i8imm",
-- "i8mem",
-- "i8mem_NOREX",
-- "lea64_32mem",
-- "lea64mem",
-- "offset16_16",
-- "offset16_32",
-- "offset16_8",
-- "offset32_16",
-- "offset32_32",
-- "offset32_64",
-- "offset32_8",
-- "offset64_16",
-- "offset64_32",
-- "offset64_64",
-- "offset64_8",
-- "opaquemem",
-- "ptype0",
-- "ptype1",
-- "ptype2",
-- "ptype3",
-- "ptype4",
-- "ptype5",
-- "sdmem",
-- "srcidx16",
-- "srcidx32",
-- "srcidx64",
-- "srcidx8",
-- "ssmem",
-- "type0",
-- "type1",
-- "type2",
-- "type3",
-- "type4",
-- "type5",
-- "u8imm",
-- "v512mem",
-- "vx128mem",
-- "vx128xmem",
-- "vx256mem",
-- "vx256xmem",
-- "vx64mem",
-- "vx64xmem",
-- "vy128mem",
-- "vy128xmem",
-- "vy256mem",
-- "vy256xmem",
-- "vy512xmem",
-- "vz256mem",
-- "vz512mem",
-- "ptr_rc",
-- "ptr_rc_norex",
-- "ptr_rc_norex_nosp",
-- "ptr_rc_nosp",
-- "ptr_rc_tailcall",
-- "unknown",
-- "variable_ops"
-- };
inductive operand_type
| mem : Nat -> operand_type
| other : operand_type
def operand_type_to_String : operand_type -> String
| (operand_type.mem n) => "(mem " ++ repr n ++ ")"
| (operand_type.other) => "other"
instance operand_type_has_repr : HasRepr operand_type := ⟨operand_type_to_String⟩
inductive operand_value
| register : register -> operand_value
| segment : Option register -> register -> operand_value
| immediate : Nat -> Nat -> operand_value
| rel_immediate : Nat -> Nat -> Nat -> operand_value
| memloc : Option register -> Option register -> Nat -> Option register -> Nat -> operand_value
def operand_value_to_String : operand_value -> String
| (operand_value.register r) => repr r
| (operand_value.segment s r) => "(" ++ repr s ++ ":" ++ repr r ++ ")"
| (operand_value.immediate n v) => repr v ++ "[" ++ repr n ++ "]"
| (operand_value.rel_immediate off n v) => "(" ++ repr v ++ " + " ++ repr off ++ ")[" ++ repr n ++ "]"
| (operand_value.memloc seg b s i d) => "(" ++ repr seg ++ ":" ++ repr b ++ " + " ++ repr s ++ "*" ++ repr i ++ " + " ++ repr d ++ ")"
instance operand_value_has_repr : HasRepr operand_value := ⟨operand_value_to_String⟩
structure operand :=
(type : operand_type)
(value : operand_value)
def operand_to_String : operand -> String := fun op =>
"(" ++ repr op.value ++ " :: " ++ repr op.type ++ ")"
instance operand_has_repr : HasRepr operand := ⟨operand_to_String⟩
structure instruction :=
(nbytes : Nat)
(mnemonic : String)
(operands : List operand)
instance instruction_has_repr : HasRepr instruction :=
⟨fun i => i.mnemonic ++ " " ++ repr i.operands⟩
structure unknown_byte :=
(byte : Nat)
(bytes_tried : Nat)
instance unknown_bytes_has_repr : HasRepr unknown_byte := ⟨fun i => "???" ++ repr i.byte ++ "(" ++ repr i.bytes_tried ++ ")"⟩
def operand_memtyp_map : RBMap String Nat (fun s1 s2 => decide (s1 < s2)) :=
List.foldl (fun m (v : String × Nat) => m.insert v.fst v.snd)
RBMap.empty
[("anymem" , 0 ) -- ??
,("f128mem" , 128)
,("f256mem" , 256)
,("f32mem" , 32 )
,("f512mem" , 512)
,("f64mem" , 64 )
,("f80mem" , 80 ) --??
,("i128mem" , 128)
,("i16mem" , 16 )
,("i256mem" , 256)
,("i32mem" , 32 )
,("i32mem_TC" , 32 )
,("i512mem" , 512)
,("i64mem" , 64 )
,("i64mem_TC" , 64 )
,("i8mem" , 8 )
,("i8mem_NOREX" , 8 )
,("lea64mem" , 64 )
,("lea64_32mem" , 64 )
,("sdmem" , 64 )
,("ssmem" , 32 )
,("v512mem" , 512)
,("vx128mem" , 128)
,("vx128xmem" , 128)
,("vx256mem" , 256)
,("vx256xmem" , 256)
,("vx64mem" , 64 )
,("vx64xmem" , 64 )
,("vy128mem" , 128)
,("vy128xmem" , 128)
,("vy256mem" , 256)
,("vy256xmem" , 256)
,("vy512xmem" , 512)
,("vz256mem" , 256)
,("vz512mem" , 512)
]
def operand_memtyp (tp : String) : operand_type :=
match operand_memtyp_map.find? tp with
| (some n) => operand_type.mem n
| none => operand_type.other
-- Exported (to CPP) functions
@[export decodex86_exported_mk_reg]
def mk_reg (top : String) (reg : String) (width : Nat) (offset : Nat) : register :=
register.mk top reg width offset
@[export decodex86_exported_mk_some_reg]
def mk_some_reg (r : register) : Option register := Option.some r
@[export decodex86_exported_mk_none_reg]
def mk_none_reg : Option register := Option.none
@[export decodex86_exported_mk_operand_register]
def mk_operand_register (tp : String) (r : register) : operand :=
operand.mk (operand_memtyp tp) (operand_value.register r)
@[export decodex86_exported_mk_operand_segment]
def mk_operand_segment (tp : String) (seg : Option register) (r : register) : operand :=
operand.mk (operand_memtyp tp) (operand_value.segment seg r)
@[export decodex86_exported_mk_operand_immediate]
def mk_operand_immediate (tp : String) (n : Nat) (v : Nat) : operand :=
operand.mk (operand_memtyp tp) (operand_value.immediate n v)
@[export decodex86_exported_mk_operand_rel_immediate]
def mk_operand_rel_immediate (tp : String) (off : Nat) (n : Nat) (v : Nat) : operand :=
operand.mk (operand_memtyp tp) (operand_value.rel_immediate off n v)
@[export decodex86_exported_mk_operand_memloc]
def mk_operand_memloc (tp : String) (seg : Option register) (b : Option register) (s : Nat) (i : Option register) (d : Nat) :=
operand.mk (operand_memtyp tp) (operand_value.memloc seg b s i d)
@[export decodex86_exported_mk_instruction_0]
def mk_instruction_0 (n : Nat) (m : String) : instruction :=
instruction.mk n m []
@[export decodex86_exported_mk_instruction_1]
def mk_instruction_1 (n : Nat) (m : String) (o1 : operand) : instruction :=
instruction.mk n m [o1]
@[export decodex86_exported_mk_instruction_2]
def mk_instruction_2 (n : Nat) (m : String) (o1 : operand) (o2 : operand) : instruction :=
instruction.mk n m [o1, o2]
@[export decodex86_exported_mk_instruction_3]
def mk_instruction_3 (n : Nat) (m : String) (o1 : operand) (o2 : operand) (o3 : operand) : instruction :=
instruction.mk n m [o1, o2, o3]
-- Handling the result of decoding
@[reducible]
def decode_result := Sum Nat instruction
@[export decodex86_exported_mk_decode_success]
def mk_decode_success (i : instruction) : decode_result := Sum.inr i
@[export decodex86_exported_mk_decode_failure]
def mk_decode_failure (nbytes : Nat) : decode_result := Sum.inl nbytes
namespace prim
-- Imported (FFI) functions
@[extern "vadd_decode"]
def decode ( b : @& ByteArray ) (offset : @& Nat) : decode_result := arbitrary _
end prim
structure decoder :=
(bytes : ByteArray)
(vaddr : Nat)
def mk_decoder (bs : ByteArray) (v : Nat) : decoder :=
decoder.mk bs v
def decode (d : decoder) (v : Nat) : decode_result :=
if v < d.vaddr
then Sum.inl 0
else prim.decode d.bytes (v - d.vaddr)
end decodex86
|
3845fb8670a78f7bdbf7cce4027fedf373ff9e83 | fa02ed5a3c9c0adee3c26887a16855e7841c668b | /src/topology/sheaves/sheaf_condition/equalizer_products.lean | 11330154d7819bd0ddd974acd1d9609558f2db57 | [
"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 | 8,587 | 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 topology.sheaves.presheaf
import category_theory.limits.punit
import category_theory.limits.shapes.products
import category_theory.limits.shapes.equalizers
import category_theory.full_subcategory
/-!
# The sheaf condition in terms of an equalizer of products
Here we set up the machinery for the "usual" definition of the sheaf condition,
e.g. as in https://stacks.math.columbia.edu/tag/0072
in terms of an equalizer diagram where the two objects are
`∏ F.obj (U i)` and `∏ F.obj (U i) ⊓ (U j)`.
-/
universes v u
noncomputable theory
open category_theory
open category_theory.limits
open topological_space
open opposite
open topological_space.opens
namespace Top
variables {C : Type u} [category.{v} C] [has_products C]
variables {X : Top.{v}} (F : presheaf C X) {ι : Type v} (U : ι → opens X)
namespace presheaf
namespace sheaf_condition_equalizer_products
/-- The product of the sections of a presheaf over a family of open sets. -/
def pi_opens : C := ∏ (λ i : ι, F.obj (op (U i)))
/--
The product of the sections of a presheaf over the pairwise intersections of
a family of open sets.
-/
def pi_inters : C := ∏ (λ p : ι × ι, F.obj (op (U p.1 ⊓ U p.2)))
/--
The morphism `Π F.obj (U i) ⟶ Π F.obj (U i) ⊓ (U j)` whose components
are given by the restriction maps from `U i` to `U i ⊓ U j`.
-/
def left_res : pi_opens F U ⟶ pi_inters F U :=
pi.lift (λ p : ι × ι, pi.π _ p.1 ≫ F.map (inf_le_left (U p.1) (U p.2)).op)
/--
The morphism `Π F.obj (U i) ⟶ Π F.obj (U i) ⊓ (U j)` whose components
are given by the restriction maps from `U j` to `U i ⊓ U j`.
-/
def right_res : pi_opens F U ⟶ pi_inters F U :=
pi.lift (λ p : ι × ι, pi.π _ p.2 ≫ F.map (inf_le_right (U p.1) (U p.2)).op)
/--
The morphism `F.obj U ⟶ Π F.obj (U i)` whose components
are given by the restriction maps from `U j` to `U i ⊓ U j`.
-/
def res : F.obj (op (supr U)) ⟶ pi_opens F U :=
pi.lift (λ i : ι, F.map (topological_space.opens.le_supr U i).op)
@[simp] lemma res_π (i : ι) : res F U ≫ limit.π _ i = F.map (opens.le_supr U i).op :=
by rw [res, limit.lift_π, fan.mk_π_app]
lemma w : res F U ≫ left_res F U = res F U ≫ right_res F U :=
begin
dsimp [res, left_res, right_res],
ext,
simp only [limit.lift_π, limit.lift_π_assoc, fan.mk_π_app, category.assoc],
rw [←F.map_comp],
rw [←F.map_comp],
congr,
end
/--
The equalizer diagram for the sheaf condition.
-/
@[reducible]
def diagram : walking_parallel_pair.{v} ⥤ C :=
parallel_pair (left_res F U) (right_res F U)
/--
The restriction map `F.obj U ⟶ Π F.obj (U i)` gives a cone over the equalizer diagram
for the sheaf condition. The sheaf condition asserts this cone is a limit cone.
-/
def fork : fork.{v} (left_res F U) (right_res F U) := fork.of_ι _ (w F U)
@[simp]
lemma fork_X : (fork F U).X = F.obj (op (supr U)) := rfl
@[simp]
lemma fork_ι : (fork F U).ι = res F U := rfl
@[simp]
lemma fork_π_app_walking_parallel_pair_zero :
(fork F U).π.app walking_parallel_pair.zero = res F U := rfl
@[simp]
lemma fork_π_app_walking_parallel_pair_one :
(fork F U).π.app walking_parallel_pair.one = res F U ≫ left_res F U := rfl
variables {F} {G : presheaf C X}
/-- Isomorphic presheaves have isomorphic `pi_opens` for any cover `U`. -/
@[simp]
def pi_opens.iso_of_iso (α : F ≅ G) : pi_opens F U ≅ pi_opens G U :=
pi.map_iso (λ X, α.app _)
/-- Isomorphic presheaves have isomorphic `pi_inters` for any cover `U`. -/
@[simp]
def pi_inters.iso_of_iso (α : F ≅ G) : pi_inters F U ≅ pi_inters G U :=
pi.map_iso (λ X, α.app _)
/-- Isomorphic presheaves have isomorphic sheaf condition diagrams. -/
def diagram.iso_of_iso (α : F ≅ G) : diagram F U ≅ diagram G U :=
nat_iso.of_components
begin rintro ⟨⟩, exact pi_opens.iso_of_iso U α, exact pi_inters.iso_of_iso U α end
begin
rintro ⟨⟩ ⟨⟩ ⟨⟩,
{ simp, },
{ ext, simp [left_res], },
{ ext, simp [right_res], },
{ simp, },
end.
/--
If `F G : presheaf C X` are isomorphic presheaves,
then the `fork F U`, the canonical cone of the sheaf condition diagram for `F`,
is isomorphic to `fork F G` postcomposed with the corresponding isomorphism between
sheaf condition diagrams.
-/
def fork.iso_of_iso (α : F ≅ G) :
fork F U ≅ (cones.postcompose (diagram.iso_of_iso U α).inv).obj (fork G U) :=
begin
fapply fork.ext,
{ apply α.app, },
{ ext,
dunfold fork.ι, -- Ugh, `simp` can't unfold abbreviations.
simp [res, diagram.iso_of_iso], }
end
section open_embedding
variables {V : Top.{v}} {j : V ⟶ X} (oe : open_embedding j)
variables (𝒰 : ι → opens V)
/--
Push forward a cover along an open embedding.
-/
@[simp]
def cover.of_open_embedding : ι → opens X := (λ i, oe.is_open_map.functor.obj (𝒰 i))
/--
The isomorphism between `pi_opens` corresponding to an open embedding.
-/
@[simp]
def pi_opens.iso_of_open_embedding :
pi_opens (oe.is_open_map.functor.op ⋙ F) 𝒰 ≅ pi_opens F (cover.of_open_embedding oe 𝒰) :=
pi.map_iso (λ X, F.map_iso (iso.refl _))
/--
The isomorphism between `pi_inters` corresponding to an open embedding.
-/
@[simp]
def pi_inters.iso_of_open_embedding :
pi_inters (oe.is_open_map.functor.op ⋙ F) 𝒰 ≅ pi_inters F (cover.of_open_embedding oe 𝒰) :=
pi.map_iso (λ X, F.map_iso
begin
dsimp [is_open_map.functor],
exact iso.op
{ hom := hom_of_le (by
{ simp only [oe.to_embedding.inj, set.image_inter],
apply le_refl _, }),
inv := hom_of_le (by
{ simp only [oe.to_embedding.inj, set.image_inter],
apply le_refl _, }), },
end)
/-- The isomorphism of sheaf condition diagrams corresponding to an open embedding. -/
def diagram.iso_of_open_embedding :
diagram (oe.is_open_map.functor.op ⋙ F) 𝒰 ≅ diagram F (cover.of_open_embedding oe 𝒰) :=
nat_iso.of_components
begin
rintro ⟨⟩,
exact pi_opens.iso_of_open_embedding oe 𝒰,
exact pi_inters.iso_of_open_embedding oe 𝒰
end
begin
rintro ⟨⟩ ⟨⟩ ⟨⟩,
{ simp, },
{ ext,
dsimp [left_res, is_open_map.functor],
simp only [limit.lift_π, cones.postcompose_obj_π, iso.op_hom, discrete.nat_iso_hom_app,
functor.map_iso_refl, functor.map_iso_hom, lim_map_π_assoc, limit.lift_map, fan.mk_π_app,
nat_trans.comp_app, category.assoc],
dsimp,
rw [category.id_comp, ←F.map_comp],
refl, },
{ ext,
dsimp [right_res, is_open_map.functor],
simp only [limit.lift_π, cones.postcompose_obj_π, iso.op_hom, discrete.nat_iso_hom_app,
functor.map_iso_refl, functor.map_iso_hom, lim_map_π_assoc, limit.lift_map, fan.mk_π_app,
nat_trans.comp_app, category.assoc],
dsimp,
rw [category.id_comp, ←F.map_comp],
refl, },
{ simp, },
end.
/--
If `F : presheaf C X` is a presheaf, and `oe : U ⟶ X` is an open embedding,
then the sheaf condition fork for a cover `𝒰` in `U` for the composition of `oe` and `F` is
isomorphic to sheaf condition fork for `oe '' 𝒰`, precomposed with the isomorphism
of indexing diagrams `diagram.iso_of_open_embedding`.
We use this to show that the restriction of sheaf along an open embedding is still a sheaf.
-/
def fork.iso_of_open_embedding :
fork (oe.is_open_map.functor.op ⋙ F) 𝒰 ≅
(cones.postcompose (diagram.iso_of_open_embedding oe 𝒰).inv).obj
(fork F (cover.of_open_embedding oe 𝒰)) :=
begin
fapply fork.ext,
{ dsimp [is_open_map.functor],
exact
F.map_iso (iso.op
{ hom := hom_of_le
(by simp only [supr_s, supr_mk, le_def, subtype.coe_mk, set.le_eq_subset, set.image_Union]),
inv := hom_of_le
(by simp only [supr_s, supr_mk, le_def, subtype.coe_mk, set.le_eq_subset, set.image_Union]),
}), },
{ ext,
dunfold fork.ι, -- Ugh, it is unpleasant that we need this.
simp only [res, diagram.iso_of_open_embedding, discrete.nat_iso_inv_app, functor.map_iso_inv,
limit.lift_π, cones.postcompose_obj_π, functor.comp_map,
fork_π_app_walking_parallel_pair_zero, pi_opens.iso_of_open_embedding,
nat_iso.of_components.inv_app, functor.map_iso_refl, functor.op_map, limit.lift_map,
fan.mk_π_app, nat_trans.comp_app, quiver.hom.unop_op, category.assoc, lim_map_eq_lim_map],
dsimp,
rw [category.comp_id, ←F.map_comp],
refl, },
end
end open_embedding
end sheaf_condition_equalizer_products
end presheaf
end Top
|
909e963eafbce45435c35f261cd11096bff41d0c | 05f637fa14ac28031cb1ea92086a0f4eb23ff2b1 | /tests/lean/elab8.lean | e5df8dc17ee05ac7c244b5af1a39421e96574026 | [
"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 | 176 | lean | definition D1 (A : (Type U)) (B : Nat → (Type U)) := true
definition D2 (A : (Type U)) (B : A → (Type U)) := true
definition D3 (A : (Type U)) (B : A → (Type U)) := false |
d5b64cd1cd6c0234e50ea1ac8137d5258726b61b | 22e97a5d648fc451e25a06c668dc03ac7ed7bc25 | /src/data/setoid.lean | a4ccdc597808e64b6bd61ed3d0b0dfd900d9304a | [
"Apache-2.0"
] | permissive | keeferrowan/mathlib | f2818da875dbc7780830d09bd4c526b0764a4e50 | aad2dfc40e8e6a7e258287a7c1580318e865817e | refs/heads/master | 1,661,736,426,952 | 1,590,438,032,000 | 1,590,438,032,000 | 266,892,663 | 0 | 0 | Apache-2.0 | 1,590,445,835,000 | 1,590,445,835,000 | null | UTF-8 | Lean | false | false | 24,447 | lean | /-
Copyright (c) 2019 Amelia Livingston. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Amelia Livingston, Bryan Gin-ge Chen
-/
import data.set.lattice
/-!
# Equivalence relations
The first section of the file defines the complete lattice of equivalence relations
on a type, results about the inductively defined equivalence closure of a binary relation,
and the analogues of some isomorphism theorems for quotients of arbitrary types.
The second section comprises properties of equivalence relations viewed as partitions.
## Implementation notes
The function `rel` and lemmas ending in ' make it easier to talk about different
equivalence relations on the same type.
The complete lattice instance for equivalence relations could have been defined by lifting
the Galois insertion of equivalence relations on α into binary relations on α, and then using
`complete_lattice.copy` to define a complete lattice instance with more appropriate
definitional equalities (a similar example is `filter.complete_lattice` in
`order/filter/basic.lean`). This does not save space, however, and is less clear.
Partitions are not defined as a separate structure here; users are encouraged to
reason about them using the existing `setoid` and its infrastructure.
## Tags
setoid, equivalence, iseqv, relation, equivalence relation, partition, equivalence
class
-/
variables {α : Type*} {β : Type*}
/-- A version of `setoid.r` that takes the equivalence relation as an explicit argument. -/
def setoid.rel (r : setoid α) : α → α → Prop := @setoid.r _ r
/-- A version of `quotient.eq'` compatible with `setoid.rel`, to make rewriting possible. -/
lemma quotient.eq_rel {r : setoid α} {x y} : ⟦x⟧ = ⟦y⟧ ↔ r.rel x y := quotient.eq'
namespace setoid
@[ext] lemma ext' {r s : setoid α} (H : ∀ a b, r.rel a b ↔ s.rel a b) :
r = s := ext H
lemma ext_iff {r s : setoid α} : r = s ↔ ∀ a b, r.rel a b ↔ s.rel a b :=
⟨λ h a b, h ▸ iff.rfl, ext'⟩
/-- Two equivalence relations are equal iff their underlying binary operations are equal. -/
theorem eq_iff_rel_eq {r₁ r₂ : setoid α} : r₁ = r₂ ↔ r₁.rel = r₂.rel :=
⟨λ h, h ▸ rfl, λ h, setoid.ext' $ λ x y, h ▸ iff.rfl⟩
/-- Defining `≤` for equivalence relations. -/
instance : has_le (setoid α) := ⟨λ r s, ∀ ⦃x y⦄, r.rel x y → s.rel x y⟩
theorem le_def {r s : setoid α} : r ≤ s ↔ ∀ {x y}, r.rel x y → s.rel x y := iff.rfl
@[refl] lemma refl' (r : setoid α) (x) : r.rel x x := r.2.1 x
@[symm] lemma symm' (r : setoid α) : ∀ {x y}, r.rel x y → r.rel y x := λ _ _ h, r.2.2.1 h
@[trans] lemma trans' (r : setoid α) : ∀ {x y z}, r.rel x y → r.rel y z → r.rel x z :=
λ _ _ _ hx, r.2.2.2 hx
/-- The kernel of a function is an equivalence relation. -/
def ker (f : α → β) : setoid α :=
⟨λ x y, f x = f y, ⟨λ _, rfl, λ _ _ h, h.symm, λ _ _ _ h, h.trans⟩⟩
/-- The kernel of the quotient map induced by an equivalence relation r equals r. -/
@[simp] lemma ker_mk_eq (r : setoid α) : ker (@quotient.mk _ r) = r :=
ext' $ λ x y, quotient.eq
/-- Given types `α, β`, the product of two equivalence relations `r` on `α` and `s` on `β`:
`(x₁, x₂), (y₁, y₂) ∈ α × β` are related by `r.prod s` iff `x₁` is related to `y₁`
by `r` and `x₂` is related to `y₂` by `s`. -/
protected def prod (r : setoid α) (s : setoid β) : setoid (α × β) :=
{ r := λ x y, r.rel x.1 y.1 ∧ s.rel x.2 y.2,
iseqv := ⟨λ x, ⟨r.refl' x.1, s.refl' x.2⟩, λ _ _ h, ⟨r.symm' h.1, s.symm' h.2⟩,
λ _ _ _ h1 h2, ⟨r.trans' h1.1 h2.1, s.trans' h1.2 h2.2⟩⟩ }
/-- The infimum of two equivalence relations. -/
instance : has_inf (setoid α) :=
⟨λ r s, ⟨λ x y, r.rel x y ∧ s.rel x y, ⟨λ x, ⟨r.refl' x, s.refl' x⟩,
λ _ _ h, ⟨r.symm' h.1, s.symm' h.2⟩,
λ _ _ _ h1 h2, ⟨r.trans' h1.1 h2.1, s.trans' h1.2 h2.2⟩⟩⟩⟩
/-- The infimum of 2 equivalence relations r and s is the same relation as the infimum
of the underlying binary operations. -/
lemma inf_def {r s : setoid α} : (r ⊓ s).rel = r.rel ⊓ s.rel := rfl
theorem inf_iff_and {r s : setoid α} {x y} :
(r ⊓ s).rel x y ↔ r.rel x y ∧ s.rel x y := iff.rfl
/-- The infimum of a set of equivalence relations. -/
instance : has_Inf (setoid α) :=
⟨λ S, ⟨λ x y, ∀ r ∈ S, rel r x y,
⟨λ x r hr, r.refl' x, λ _ _ h r hr, r.symm' $ h r hr,
λ _ _ _ h1 h2 r hr, r.trans' (h1 r hr) $ h2 r hr⟩⟩⟩
/-- The underlying binary operation of the infimum of a set of equivalence relations
is the infimum of the set's image under the map to the underlying binary operation. -/
theorem Inf_def {s : set (setoid α)} : (Inf s).rel = Inf (rel '' s) :=
by { ext, simp only [Inf_image, infi_apply, infi_Prop_eq], refl }
instance : partial_order (setoid α) :=
{ le := (≤),
lt := λ r s, r ≤ s ∧ ¬s ≤ r,
le_refl := λ _ _ _, id,
le_trans := λ _ _ _ hr hs _ _ h, hs $ hr h,
lt_iff_le_not_le := λ _ _, iff.rfl,
le_antisymm := λ r s h1 h2, setoid.ext' $ λ x y, ⟨λ h, h1 h, λ h, h2 h⟩ }
/-- The complete lattice of equivalence relations on a type, with bottom element `=`
and top element the trivial equivalence relation. -/
instance complete_lattice : complete_lattice (setoid α) :=
{ inf := has_inf.inf,
inf_le_left := λ _ _ _ _ h, h.1,
inf_le_right := λ _ _ _ _ h, h.2,
le_inf := λ _ _ _ h1 h2 _ _ h, ⟨h1 h, h2 h⟩,
top := ⟨λ _ _, true, ⟨λ _, trivial, λ _ _ h, h, λ _ _ _ h1 h2, h1⟩⟩,
le_top := λ _ _ _ _, trivial,
bot := ⟨(=), ⟨λ _, rfl, λ _ _ h, h.symm, λ _ _ _ h1 h2, h1.trans h2⟩⟩,
bot_le := λ r x y h, h ▸ r.2.1 x,
.. complete_lattice_of_Inf (setoid α) $ assume s,
⟨λ r hr x y h, h _ hr, λ r hr x y h r' hr', hr hr' h⟩ }
/-- The inductively defined equivalence closure of a binary relation r is the infimum
of the set of all equivalence relations containing r. -/
theorem eqv_gen_eq (r : α → α → Prop) :
eqv_gen.setoid r = Inf {s : setoid α | ∀ ⦃x y⦄, r x y → s.rel x y} :=
le_antisymm
(λ _ _ H, eqv_gen.rec (λ _ _ h _ hs, hs h) (refl' _)
(λ _ _ _, symm' _) (λ _ _ _ _ _, trans' _) H)
(Inf_le $ λ _ _ h, eqv_gen.rel _ _ h)
/-- The supremum of two equivalence relations r and s is the equivalence closure of the binary
relation `x is related to y by r or s`. -/
lemma sup_eq_eqv_gen (r s : setoid α) :
r ⊔ s = eqv_gen.setoid (λ x y, r.rel x y ∨ s.rel x y) :=
begin
rw eqv_gen_eq,
apply congr_arg Inf,
simp only [le_def, or_imp_distrib, ← forall_and_distrib]
end
/-- The supremum of 2 equivalence relations r and s is the equivalence closure of the
supremum of the underlying binary operations. -/
lemma sup_def {r s : setoid α} : r ⊔ s = eqv_gen.setoid (r.rel ⊔ s.rel) :=
by rw sup_eq_eqv_gen; refl
/-- The supremum of a set S of equivalence relations is the equivalence closure of the binary
relation `there exists r ∈ S relating x and y`. -/
lemma Sup_eq_eqv_gen (S : set (setoid α)) :
Sup S = eqv_gen.setoid (λ x y, ∃ r : setoid α, r ∈ S ∧ r.rel x y) :=
begin
rw eqv_gen_eq,
apply congr_arg Inf,
simp only [upper_bounds, le_def, and_imp, exists_imp_distrib],
ext,
exact ⟨λ H x y r hr, H hr, λ H r hr x y, H r hr⟩
end
/-- The supremum of a set of equivalence relations is the equivalence closure of the
supremum of the set's image under the map to the underlying binary operation. -/
lemma Sup_def {s : set (setoid α)} : Sup s = eqv_gen.setoid (Sup (rel '' s)) :=
begin
rw Sup_eq_eqv_gen,
congr,
ext x y,
erw [Sup_image, supr_apply, supr_apply, supr_Prop_eq],
simp only [Sup_image, supr_Prop_eq, supr_apply, supr_Prop_eq, exists_prop]
end
/-- The equivalence closure of an equivalence relation r is r. -/
@[simp] lemma eqv_gen_of_setoid (r : setoid α) : eqv_gen.setoid r.r = r :=
le_antisymm (by rw eqv_gen_eq; exact Inf_le (λ _ _, id)) eqv_gen.rel
/-- Equivalence closure is idempotent. -/
@[simp] lemma eqv_gen_idem (r : α → α → Prop) :
eqv_gen.setoid (eqv_gen.setoid r).rel = eqv_gen.setoid r :=
eqv_gen_of_setoid _
/-- The equivalence closure of a binary relation r is contained in any equivalence
relation containing r. -/
theorem eqv_gen_le {r : α → α → Prop} {s : setoid α} (h : ∀ x y, r x y → s.rel x y) :
eqv_gen.setoid r ≤ s :=
by rw eqv_gen_eq; exact Inf_le h
/-- Equivalence closure of binary relations is monotonic. -/
theorem eqv_gen_mono {r s : α → α → Prop} (h : ∀ x y, r x y → s x y) :
eqv_gen.setoid r ≤ eqv_gen.setoid s :=
eqv_gen_le $ λ _ _ hr, eqv_gen.rel _ _ $ h _ _ hr
/-- There is a Galois insertion of equivalence relations on α into binary relations
on α, with equivalence closure the lower adjoint. -/
def gi : @galois_insertion (α → α → Prop) (setoid α) _ _ eqv_gen.setoid rel :=
{ choice := λ r h, eqv_gen.setoid r,
gc := λ r s, ⟨λ H _ _ h, H $ eqv_gen.rel _ _ h, λ H, eqv_gen_of_setoid s ▸ eqv_gen_mono H⟩,
le_l_u := λ x, (eqv_gen_of_setoid x).symm ▸ le_refl x,
choice_eq := λ _ _, rfl }
open function
/-- A function from α to β is injective iff its kernel is the bottom element of the complete lattice
of equivalence relations on α. -/
theorem injective_iff_ker_bot (f : α → β) :
injective f ↔ ker f = ⊥ :=
⟨λ hf, setoid.ext' $ λ x y, ⟨λ h, hf h, λ h, h ▸ rfl⟩,
λ hk x y h, show rel ⊥ x y, from hk ▸ (show (ker f).rel x y, from h)⟩
/-- The elements related to x ∈ α by the kernel of f are those in the preimage of f(x) under f. -/
lemma ker_apply_eq_preimage (f : α → β) (x) : (ker f).rel x = f ⁻¹' {f x} :=
set.ext $ λ x,
⟨λ h, set.mem_preimage.2 (set.mem_singleton_iff.2 h.symm),
λ h, (set.mem_singleton_iff.1 (set.mem_preimage.1 h)).symm⟩
/-- The uniqueness part of the universal property for quotients of an arbitrary type. -/
theorem lift_unique {r : setoid α} {f : α → β} (H : r ≤ ker f) (g : quotient r → β)
(Hg : f = g ∘ quotient.mk) : quotient.lift f H = g :=
begin
ext,
rcases x,
erw [quotient.lift_beta f H, Hg],
refl
end
/-- Given a map f from α to β, the natural map from the quotient of α by the kernel of f is
injective. -/
lemma injective_ker_lift (f : α → β) : injective (@quotient.lift _ _ (ker f) f (λ _ _ h, h)) :=
λ x y, quotient.induction_on₂' x y $ λ a b h, quotient.sound' h
/-- Given a map f from α to β, the kernel of f is the unique equivalence relation on α whose
induced map from the quotient of α to β is injective. -/
lemma ker_eq_lift_of_injective {r : setoid α} (f : α → β) (H : ∀ x y, r.rel x y → f x = f y)
(h : injective (quotient.lift f H)) : ker f = r :=
le_antisymm
(λ x y hk, quotient.exact $ h $ show quotient.lift f H ⟦x⟧ = quotient.lift f H ⟦y⟧, from hk)
H
variables (r : setoid α) (f : α → β)
/-- The first isomorphism theorem for sets: the quotient of α by the kernel of a function f
bijects with f's image. -/
noncomputable def quotient_ker_equiv_range :
quotient (ker f) ≃ set.range f :=
@equiv.of_bijective _ (set.range f) (@quotient.lift _ (set.range f) (ker f)
(λ x, ⟨f x, set.mem_range_self x⟩) $ λ _ _ h, subtype.eq' h)
⟨λ x y h, injective_ker_lift f $ by rcases x; rcases y; injections,
λ ⟨w, z, hz⟩, ⟨@quotient.mk _ (ker f) z, by rw quotient.lift_beta; exact subtype.ext.2 hz⟩⟩
/-- The quotient of α by the kernel of a surjective function f bijects with f's codomain. -/
noncomputable def quotient_ker_equiv_of_surjective (hf : surjective f) :
quotient (ker f) ≃ β :=
@equiv.of_bijective _ _ (@quotient.lift _ _ (ker f) f (λ _ _, id))
⟨injective_ker_lift f, λ y, exists.elim (hf y) $ λ w hw, ⟨quotient.mk' w, hw⟩⟩
variables {r f}
/-- Given a function `f : α → β` and equivalence relation `r` on `α`, the equivalence
closure of the relation on `f`'s image defined by '`x ≈ y` iff the elements of `f⁻¹(x)` are
related to the elements of `f⁻¹(y)` by `r`.' -/
def map (r : setoid α) (f : α → β) : setoid β :=
eqv_gen.setoid $ λ x y, ∃ a b, f a = x ∧ f b = y ∧ r.rel a b
/-- Given a surjective function f whose kernel is contained in an equivalence relation r, the
equivalence relation on f's codomain defined by x ≈ y ↔ the elements of f⁻¹(x) are related to
the elements of f⁻¹(y) by r. -/
def map_of_surjective (r) (f : α → β) (h : ker f ≤ r) (hf : surjective f) :
setoid β :=
⟨λ x y, ∃ a b, f a = x ∧ f b = y ∧ r.rel a b,
⟨λ x, let ⟨y, hy⟩ := hf x in ⟨y, y, hy, hy, r.refl' y⟩,
λ _ _ ⟨x, y, hx, hy, h⟩, ⟨y, x, hy, hx, r.symm' h⟩,
λ _ _ _ ⟨x, y, hx, hy, h₁⟩ ⟨y', z, hy', hz, h₂⟩,
⟨x, z, hx, hz, r.trans' h₁ $ r.trans' (h $ by rwa ←hy' at hy) h₂⟩⟩⟩
/-- A special case of the equivalence closure of an equivalence relation r equalling r. -/
lemma map_of_surjective_eq_map (h : ker f ≤ r) (hf : surjective f) :
map r f = map_of_surjective r f h hf :=
by rw ←eqv_gen_of_setoid (map_of_surjective r f h hf); refl
/-- Given a function `f : α → β`, an equivalence relation `r` on `β` induces an equivalence
relation on `α` defined by '`x ≈ y` iff `f(x)` is related to `f(y)` by `r`'. -/
def comap (f : α → β) (r : setoid β) : setoid α :=
⟨λ x y, r.rel (f x) (f y), ⟨λ _, r.refl' _, λ _ _ h, r.symm' h, λ _ _ _ h1, r.trans' h1⟩⟩
/-- Given a map `f : N → M` and an equivalence relation `r` on `β`, the equivalence relation
induced on `α` by `f` equals the kernel of `r`'s quotient map composed with `f`. -/
lemma comap_eq {f : α → β} {r : setoid β} : comap f r = ker (@quotient.mk _ r ∘ f) :=
ext $ λ x y, show _ ↔ ⟦_⟧ = ⟦_⟧, by rw quotient.eq; refl
/-- The second isomorphism theorem for sets. -/
noncomputable def comap_quotient_equiv (f : α → β) (r : setoid β) :
quotient (comap f r) ≃ set.range (@quotient.mk _ r ∘ f) :=
(quotient.congr_right $ ext_iff.1 comap_eq).trans $ quotient_ker_equiv_range $ quotient.mk ∘ f
variables (r f)
/-- The third isomorphism theorem for sets. -/
def quotient_quotient_equiv_quotient (s : setoid α) (h : r ≤ s) :
quotient (ker (quot.map_right h)) ≃ quotient s :=
{ to_fun := λ x, quotient.lift_on' x (λ w, quotient.lift_on' w (@quotient.mk _ s) $
λ x y H, quotient.sound $ h H) $ λ x y, quotient.induction_on₂' x y $ λ w z H,
show @quot.mk _ _ _ = @quot.mk _ _ _, from H,
inv_fun := λ x, quotient.lift_on' x
(λ w, @quotient.mk _ (ker $ quot.map_right h) $ @quotient.mk _ r w) $
λ x y H, quotient.sound' $ show @quot.mk _ _ _ = @quot.mk _ _ _, from quotient.sound H,
left_inv := λ x, quotient.induction_on' x $ λ y, quotient.induction_on' y $
λ w, by show ⟦_⟧ = _; refl,
right_inv := λ x, quotient.induction_on' x $ λ y, by show ⟦_⟧ = _; refl }
variables {r f}
section
open quotient
/-- Given an equivalence relation r on α, the order-preserving bijection between the set of
equivalence relations containing r and the equivalence relations on the quotient of α by r. -/
def correspondence (r : setoid α) : ((≤) : {s // r ≤ s} → {s // r ≤ s} → Prop) ≃o
((≤) : setoid (quotient r) → setoid (quotient r) → Prop) :=
{ to_fun := λ s, map_of_surjective s.1 quotient.mk ((ker_mk_eq r).symm ▸ s.2) exists_rep,
inv_fun := λ s, ⟨comap quotient.mk s, λ x y h, show s.rel ⟦x⟧ ⟦y⟧, by rw eq_rel.2 h⟩,
left_inv := λ s, subtype.ext.2 $ ext' $ λ _ _,
⟨λ h, let ⟨a, b, hx, hy, H⟩ := h in
s.1.trans' (s.1.symm' $ s.2 $ eq_rel.1 hx) $ s.1.trans' H $ s.2 $ eq_rel.1 hy,
λ h, ⟨_, _, rfl, rfl, h⟩⟩,
right_inv := λ s, let Hm : ker quotient.mk ≤ comap quotient.mk s :=
λ x y h, show s.rel ⟦x⟧ ⟦y⟧, by rw (@eq_rel _ r x y).2 ((ker_mk_eq r) ▸ h) in
ext' $ λ x y, ⟨λ h, let ⟨a, b, hx, hy, H⟩ := h in hx ▸ hy ▸ H,
quotient.induction_on₂ x y $ λ w z h, ⟨w, z, rfl, rfl, h⟩⟩,
ord' := λ s t, ⟨λ h x y hs, let ⟨a, b, hx, hy, Hs⟩ := hs in ⟨a, b, hx, hy, h Hs⟩,
λ h x y hs, let ⟨a, b, hx, hy, ht⟩ := h ⟨x, y, rfl, rfl, hs⟩ in
t.1.trans' (t.1.symm' $ t.2 $ eq_rel.1 hx) $ t.1.trans' ht $ t.2 $ eq_rel.1 hy⟩ }
end
/-!
### Partitions
-/
/-- If x ∈ α is in 2 elements of a set of sets partitioning α, those 2 sets are equal. -/
lemma eq_of_mem_eqv_class {c : set (set α)} (H : ∀ a, ∃! b ∈ c, a ∈ b)
{x b b'} (hc : b ∈ c) (hb : x ∈ b) (hc' : b' ∈ c) (hb' : x ∈ b') :
b = b' :=
(H x).unique2 hc hb hc' hb'
/-- Makes an equivalence relation from a set of sets partitioning α. -/
def mk_classes (c : set (set α)) (H : ∀ a, ∃! b ∈ c, a ∈ b) :
setoid α :=
⟨λ x y, ∀ s ∈ c, x ∈ s → y ∈ s, ⟨λ _ _ _ hx, hx,
λ x y h s hs hy, (H x).elim2 $ λ t ht hx _,
have s = t, from eq_of_mem_eqv_class H hs hy ht (h t ht hx),
this.symm ▸ hx,
λ x y z h1 h2 s hs hx, (H y).elim2 $ λ t ht hy _, (H z).elim2 $ λ t' ht' hz _,
have hst : s = t, from eq_of_mem_eqv_class H hs (h1 _ hs hx) ht hy,
have htt' : t = t', from eq_of_mem_eqv_class H ht (h2 _ ht hy) ht' hz,
(hst.trans htt').symm ▸ hz⟩⟩
/-- Makes the equivalence classes of an equivalence relation. -/
def classes (r : setoid α) : set (set α) :=
{s | ∃ y, s = {x | r.rel x y}}
lemma mem_classes (r : setoid α) (y) : {x | r.rel x y} ∈ r.classes := ⟨y, rfl⟩
/-- Two equivalence relations are equal iff all their equivalence classes are equal. -/
lemma eq_iff_classes_eq {r₁ r₂ : setoid α} :
r₁ = r₂ ↔ ∀ x, {y | r₁.rel x y} = {y | r₂.rel x y} :=
⟨λ h x, h ▸ rfl, λ h, ext' $ λ x, set.ext_iff.1 $ h x⟩
lemma rel_iff_exists_classes (r : setoid α) {x y} :
r.rel x y ↔ ∃ c ∈ r.classes, x ∈ c ∧ y ∈ c :=
⟨λ h, ⟨_, r.mem_classes y, h, r.refl' y⟩,
λ ⟨c, ⟨z, hz⟩, hx, hy⟩, by { subst c, exact r.trans' hx (r.symm' hy) }⟩
/-- Two equivalence relations are equal iff their equivalence classes are equal. -/
lemma classes_inj {r₁ r₂ : setoid α} :
r₁ = r₂ ↔ r₁.classes = r₂.classes :=
⟨λ h, h ▸ rfl, λ h, ext' $ λ a b, by simp only [rel_iff_exists_classes, exists_prop, h] ⟩
/-- The empty set is not an equivalence class. -/
lemma empty_not_mem_classes {r : setoid α} : ∅ ∉ r.classes :=
λ ⟨y, hy⟩, set.not_mem_empty y $ hy.symm ▸ r.refl' y
/-- Equivalence classes partition the type. -/
lemma classes_eqv_classes {r : setoid α} (a) : ∃! b ∈ r.classes, a ∈ b :=
exists_unique.intro2 {x | r.rel x a} (r.mem_classes a) (r.refl' _) $
begin
rintros _ ⟨y, rfl⟩ ha,
ext x,
exact ⟨λ hx, r.trans' hx (r.symm' ha), λ hx, r.trans' hx ha⟩
end
/-- If x ∈ α is in 2 equivalence classes, the equivalence classes are equal. -/
lemma eq_of_mem_classes {r : setoid α} {x b} (hc : b ∈ r.classes)
(hb : x ∈ b) {b'} (hc' : b' ∈ r.classes) (hb' : x ∈ b') : b = b' :=
eq_of_mem_eqv_class classes_eqv_classes hc hb hc' hb'
/-- The elements of a set of sets partitioning α are the equivalence classes of the
equivalence relation defined by the set of sets. -/
lemma eq_eqv_class_of_mem {c : set (set α)}
(H : ∀ a, ∃! b ∈ c, a ∈ b) {s y} (hs : s ∈ c) (hy : y ∈ s) :
s = {x | (mk_classes c H).rel x y} :=
set.ext $ λ x,
⟨λ hs', symm' (mk_classes c H) $ λ b' hb' h', eq_of_mem_eqv_class H hs hy hb' h' ▸ hs',
λ hx, (H x).elim2 $ λ b' hc' hb' h',
(eq_of_mem_eqv_class H hs hy hc' $ hx b' hc' hb').symm ▸ hb'⟩
/-- The equivalence classes of the equivalence relation defined by a set of sets
partitioning α are elements of the set of sets. -/
lemma eqv_class_mem {c : set (set α)} (H : ∀ a, ∃! b ∈ c, a ∈ b) {y} :
{x | (mk_classes c H).rel x y} ∈ c :=
(H y).elim2 $ λ b hc hy hb, eq_eqv_class_of_mem H hc hy ▸ hc
/-- Distinct elements of a set of sets partitioning α are disjoint. -/
lemma eqv_classes_disjoint {c : set (set α)} (H : ∀ a, ∃! b ∈ c, a ∈ b) :
set.pairwise_disjoint c :=
λ b₁ h₁ b₂ h₂ h, set.disjoint_left.2 $
λ x hx1 hx2, (H x).elim2 $ λ b hc hx hb, h $ eq_of_mem_eqv_class H h₁ hx1 h₂ hx2
/-- A set of disjoint sets covering α partition α (classical). -/
lemma eqv_classes_of_disjoint_union {c : set (set α)}
(hu : set.sUnion c = @set.univ α) (H : set.pairwise_disjoint c) (a) :
∃! b ∈ c, a ∈ b :=
let ⟨b, hc, ha⟩ := set.mem_sUnion.1 $ show a ∈ _, by rw hu; exact set.mem_univ a in
exists_unique.intro2 b hc ha $ λ b' hc' ha', H.elim hc' hc a ha' ha
/-- Makes an equivalence relation from a set of disjoints sets covering α. -/
def setoid_of_disjoint_union {c : set (set α)} (hu : set.sUnion c = @set.univ α)
(H : set.pairwise_disjoint c) : setoid α :=
setoid.mk_classes c $ eqv_classes_of_disjoint_union hu H
/-- The equivalence relation made from the equivalence classes of an equivalence
relation r equals r. -/
theorem mk_classes_classes (r : setoid α) :
mk_classes r.classes classes_eqv_classes = r :=
ext' $ λ x y, ⟨λ h, r.symm' (h {z | r.rel z x} (r.mem_classes x) $ r.refl' x),
λ h b hb hx, eq_of_mem_classes (r.mem_classes x) (r.refl' x) hb hx ▸ r.symm' h⟩
section partition
/-- A collection `c : set (set α)` of sets is a partition of `α` into pairwise
disjoint sets if `∅ ∉ c` and each element `a : α` belongs to a unique set `b ∈ c`. -/
def is_partition (c : set (set α)) :=
∅ ∉ c ∧ ∀ a, ∃! b ∈ c, a ∈ b
/-- A partition of `α` does not contain the empty set. -/
lemma nonempty_of_mem_partition {c : set (set α)} (hc : is_partition c) {s} (h : s ∈ c) :
s.nonempty :=
set.ne_empty_iff_nonempty.1 $ λ hs0, hc.1 $ hs0 ▸ h
/-- All elements of a partition of α are the equivalence class of some y ∈ α. -/
lemma exists_of_mem_partition {c : set (set α)} (hc : is_partition c) {s} (hs : s ∈ c) :
∃ y, s = {x | (mk_classes c hc.2).rel x y} :=
let ⟨y, hy⟩ := nonempty_of_mem_partition hc hs in
⟨y, eq_eqv_class_of_mem hc.2 hs hy⟩
/-- The equivalence classes of the equivalence relation defined by a partition of α equal
the original partition. -/
theorem classes_mk_classes (c : set (set α)) (hc : is_partition c) :
(mk_classes c hc.2).classes = c :=
set.ext $ λ s,
⟨λ ⟨y, hs⟩, (hc.2 y).elim2 $ λ b hm hb hy,
by rwa (show s = b, from hs.symm ▸ set.ext
(λ x, ⟨λ hx, symm' (mk_classes c hc.2) hx b hm hb,
λ hx b' hc' hx', eq_of_mem_eqv_class hc.2 hm hx hc' hx' ▸ hb⟩)),
exists_of_mem_partition hc⟩
/-- Defining `≤` on partitions as the `≤` defined on their induced equivalence relations. -/
instance partition.le : has_le (subtype (@is_partition α)) :=
⟨λ x y, mk_classes x.1 x.2.2 ≤ mk_classes y.1 y.2.2⟩
/-- Defining a partial order on partitions as the partial order on their induced
equivalence relations. -/
instance partition.partial_order : partial_order (subtype (@is_partition α)) :=
{ le := (≤),
lt := λ x y, x ≤ y ∧ ¬y ≤ x,
le_refl := λ _, @le_refl (setoid α) _ _,
le_trans := λ _ _ _, @le_trans (setoid α) _ _ _ _,
lt_iff_le_not_le := λ _ _, iff.rfl,
le_antisymm := λ x y hx hy, let h := @le_antisymm (setoid α) _ _ _ hx hy in by
rw [subtype.ext, ←classes_mk_classes x.1 x.2, ←classes_mk_classes y.1 y.2, h] }
variables (α)
/-- The order-preserving bijection between equivalence relations and partitions of sets. -/
def partition.order_iso :
((≤) : setoid α → setoid α → Prop) ≃o (@setoid.partition.partial_order α).le :=
{ to_fun := λ r, ⟨r.classes, empty_not_mem_classes, classes_eqv_classes⟩,
inv_fun := λ x, mk_classes x.1 x.2.2,
left_inv := mk_classes_classes,
right_inv := λ x, by rw [subtype.ext, ←classes_mk_classes x.1 x.2],
ord' := λ x y, by conv {to_lhs, rw [←mk_classes_classes x, ←mk_classes_classes y]}; refl }
variables {α}
/-- A complete lattice instance for partitions; there is more infrastructure for the
equivalent complete lattice on equivalence relations. -/
instance partition.complete_lattice : complete_lattice (subtype (@is_partition α)) :=
galois_insertion.lift_complete_lattice $ @order_iso.to_galois_insertion
_ (subtype (@is_partition α)) _ (partial_order.to_preorder _) $ partition.order_iso α
end partition
end setoid
|
c19e93d7ecb3f654dc2c110a1953b9e15bdf9c71 | c777c32c8e484e195053731103c5e52af26a25d1 | /src/combinatorics/configuration.lean | fdbb9de545df6a6782878040deff357e911c4410 | [
"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 | 23,190 | lean | /-
Copyright (c) 2021 Thomas Browning. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Thomas Browning
-/
import algebra.big_operators.order
import combinatorics.hall.basic
import data.fintype.big_operators
import set_theory.cardinal.finite
/-!
# Configurations of Points and lines
This file introduces abstract configurations of points and lines, and proves some basic properties.
## Main definitions
* `configuration.nondegenerate`: Excludes certain degenerate configurations,
and imposes uniqueness of intersection points.
* `configuration.has_points`: A nondegenerate configuration in which
every pair of lines has an intersection point.
* `configuration.has_lines`: A nondegenerate configuration in which
every pair of points has a line through them.
* `configuration.line_count`: The number of lines through a given point.
* `configuration.point_count`: The number of lines through a given line.
## Main statements
* `configuration.has_lines.card_le`: `has_lines` implies `|P| ≤ |L|`.
* `configuration.has_points.card_le`: `has_points` implies `|L| ≤ |P|`.
* `configuration.has_lines.has_points`: `has_lines` and `|P| = |L|` implies `has_points`.
* `configuration.has_points.has_lines`: `has_points` and `|P| = |L|` implies `has_lines`.
Together, these four statements say that any two of the following properties imply the third:
(a) `has_lines`, (b) `has_points`, (c) `|P| = |L|`.
-/
open_locale big_operators
set_option old_structure_cmd true
namespace configuration
variables (P L : Type*) [has_mem P L]
/-- A type synonym. -/
def dual := P
instance [this : inhabited P] : inhabited (dual P) := this
instance [finite P] : finite (dual P) := ‹finite P›
instance [this : fintype P] : fintype (dual P) := this
instance : has_mem (dual L) (dual P) :=
⟨function.swap (has_mem.mem : P → L → Prop)⟩
/-- A configuration is nondegenerate if:
1) there does not exist a line that passes through all of the points,
2) there does not exist a point that is on all of the lines,
3) there is at most one line through any two points,
4) any two lines have at most one intersection point.
Conditions 3 and 4 are equivalent. -/
class nondegenerate : Prop :=
(exists_point : ∀ l : L, ∃ p, p ∉ l)
(exists_line : ∀ p, ∃ l : L, p ∉ l)
(eq_or_eq : ∀ {p₁ p₂ : P} {l₁ l₂ : L}, p₁ ∈ l₁ → p₂ ∈ l₁ → p₁ ∈ l₂ → p₂ ∈ l₂ → p₁ = p₂ ∨ l₁ = l₂)
/-- A nondegenerate configuration in which every pair of lines has an intersection point. -/
class has_points extends nondegenerate P L :=
(mk_point : Π {l₁ l₂ : L} (h : l₁ ≠ l₂), P)
(mk_point_ax : ∀ {l₁ l₂ : L} (h : l₁ ≠ l₂), mk_point h ∈ l₁ ∧ mk_point h ∈ l₂)
/-- A nondegenerate configuration in which every pair of points has a line through them. -/
class has_lines extends nondegenerate P L :=
(mk_line : Π {p₁ p₂ : P} (h : p₁ ≠ p₂), L)
(mk_line_ax : ∀ {p₁ p₂ : P} (h : p₁ ≠ p₂), p₁ ∈ mk_line h ∧ p₂ ∈ mk_line h)
open nondegenerate has_points (mk_point mk_point_ax) has_lines (mk_line mk_line_ax)
instance [nondegenerate P L] : nondegenerate (dual L) (dual P) :=
{ exists_point := @exists_line P L _ _,
exists_line := @exists_point P L _ _,
eq_or_eq := λ l₁ l₂ p₁ p₂ h₁ h₂ h₃ h₄, (@eq_or_eq P L _ _ p₁ p₂ l₁ l₂ h₁ h₃ h₂ h₄).symm }
instance [has_points P L] : has_lines (dual L) (dual P) :=
{ mk_line := @mk_point P L _ _,
mk_line_ax := λ _ _, mk_point_ax,
.. dual.nondegenerate _ _ }
instance [has_lines P L] : has_points (dual L) (dual P) :=
{ mk_point := @mk_line P L _ _,
mk_point_ax := λ _ _, mk_line_ax,
.. dual.nondegenerate _ _ }
lemma has_points.exists_unique_point [has_points P L] (l₁ l₂ : L) (hl : l₁ ≠ l₂) :
∃! p, p ∈ l₁ ∧ p ∈ l₂ :=
⟨mk_point hl, mk_point_ax hl,
λ p hp, (eq_or_eq hp.1 (mk_point_ax hl).1 hp.2 (mk_point_ax hl).2).resolve_right hl⟩
lemma has_lines.exists_unique_line [has_lines P L] (p₁ p₂ : P) (hp : p₁ ≠ p₂) :
∃! l : L, p₁ ∈ l ∧ p₂ ∈ l :=
has_points.exists_unique_point (dual L) (dual P) p₁ p₂ hp
variables {P L}
/-- If a nondegenerate configuration has at least as many points as lines, then there exists
an injective function `f` from lines to points, such that `f l` does not lie on `l`. -/
lemma nondegenerate.exists_injective_of_card_le [nondegenerate P L]
[fintype P] [fintype L] (h : fintype.card L ≤ fintype.card P) :
∃ f : L → P, function.injective f ∧ ∀ l, (f l) ∉ l :=
begin
classical,
let t : L → finset P := λ l, (set.to_finset {p | p ∉ l}),
suffices : ∀ s : finset L, s.card ≤ (s.bUnion t).card, -- Hall's marriage theorem
{ obtain ⟨f, hf1, hf2⟩ := (finset.all_card_le_bUnion_card_iff_exists_injective t).mp this,
exact ⟨f, hf1, λ l, set.mem_to_finset.mp (hf2 l)⟩ },
intro s,
by_cases hs₀ : s.card = 0, -- If `s = ∅`, then `s.card = 0 ≤ (s.bUnion t).card`
{ simp_rw [hs₀, zero_le] },
by_cases hs₁ : s.card = 1, -- If `s = {l}`, then pick a point `p ∉ l`
{ obtain ⟨l, rfl⟩ := finset.card_eq_one.mp hs₁,
obtain ⟨p, hl⟩ := exists_point l,
rw [finset.card_singleton, finset.singleton_bUnion, nat.one_le_iff_ne_zero],
exact finset.card_ne_zero_of_mem (set.mem_to_finset.mpr hl) },
suffices : (s.bUnion t)ᶜ.card ≤ sᶜ.card, -- Rephrase in terms of complements (uses `h`)
{ rw [finset.card_compl, finset.card_compl, tsub_le_iff_left] at this,
replace := h.trans this,
rwa [←add_tsub_assoc_of_le s.card_le_univ, le_tsub_iff_left
(le_add_left s.card_le_univ), add_le_add_iff_right] at this },
have hs₂ : (s.bUnion t)ᶜ.card ≤ 1, -- At most one line through two points of `s`
{ refine finset.card_le_one_iff.mpr (λ p₁ p₂ hp₁ hp₂, _),
simp_rw [finset.mem_compl, finset.mem_bUnion, exists_prop, not_exists, not_and,
set.mem_to_finset, set.mem_set_of_eq, not_not] at hp₁ hp₂,
obtain ⟨l₁, l₂, hl₁, hl₂, hl₃⟩ :=
finset.one_lt_card_iff.mp (nat.one_lt_iff_ne_zero_and_ne_one.mpr ⟨hs₀, hs₁⟩),
exact (eq_or_eq (hp₁ l₁ hl₁) (hp₂ l₁ hl₁) (hp₁ l₂ hl₂) (hp₂ l₂ hl₂)).resolve_right hl₃ },
by_cases hs₃ : sᶜ.card = 0,
{ rw [hs₃, le_zero_iff],
rw [finset.card_compl, tsub_eq_zero_iff_le, has_le.le.le_iff_eq (finset.card_le_univ _),
eq_comm, finset.card_eq_iff_eq_univ] at hs₃ ⊢,
rw hs₃,
rw finset.eq_univ_iff_forall at hs₃ ⊢,
exact λ p, exists.elim (exists_line p) -- If `s = univ`, then show `s.bUnion t = univ`
(λ l hl, finset.mem_bUnion.mpr ⟨l, finset.mem_univ l, set.mem_to_finset.mpr hl⟩) },
{ exact hs₂.trans (nat.one_le_iff_ne_zero.mpr hs₃) }, -- If `s < univ`, then consequence of `hs₂`
end
variables {P} (L)
/-- Number of points on a given line. -/
noncomputable def line_count (p : P) : ℕ := nat.card {l : L // p ∈ l}
variables (P) {L}
/-- Number of lines through a given point. -/
noncomputable def point_count (l : L) : ℕ := nat.card {p : P // p ∈ l}
variables (P L)
lemma sum_line_count_eq_sum_point_count [fintype P] [fintype L] :
∑ p : P, line_count L p = ∑ l : L, point_count P l :=
begin
classical,
simp only [line_count, point_count, nat.card_eq_fintype_card, ←fintype.card_sigma],
apply fintype.card_congr,
calc (Σ p, {l : L // p ∈ l}) ≃ {x : P × L // x.1 ∈ x.2} :
(equiv.subtype_prod_equiv_sigma_subtype (∈)).symm
... ≃ {x : L × P // x.2 ∈ x.1} : (equiv.prod_comm P L).subtype_equiv (λ x, iff.rfl)
... ≃ (Σ l, {p // p ∈ l}) : equiv.subtype_prod_equiv_sigma_subtype (λ (l : L) (p : P), p ∈ l),
end
variables {P L}
lemma has_lines.point_count_le_line_count [has_lines P L] {p : P} {l : L} (h : p ∉ l)
[finite {l : L // p ∈ l}] : point_count P l ≤ line_count L p :=
begin
by_cases hf : infinite {p : P // p ∈ l},
{ exactI (le_of_eq nat.card_eq_zero_of_infinite).trans (zero_le (line_count L p)) },
haveI := fintype_of_not_infinite hf,
casesI nonempty_fintype {l : L // p ∈ l},
rw [line_count, point_count, nat.card_eq_fintype_card, nat.card_eq_fintype_card],
have : ∀ p' : {p // p ∈ l}, p ≠ p' := λ p' hp', h ((congr_arg (∈ l) hp').mpr p'.2),
exact fintype.card_le_of_injective (λ p', ⟨mk_line (this p'), (mk_line_ax (this p')).1⟩)
(λ p₁ p₂ hp, subtype.ext ((eq_or_eq p₁.2 p₂.2 (mk_line_ax (this p₁)).2
((congr_arg _ (subtype.ext_iff.mp hp)).mpr (mk_line_ax (this p₂)).2)).resolve_right
(λ h', (congr_arg _ h').mp h (mk_line_ax (this p₁)).1))),
end
lemma has_points.line_count_le_point_count [has_points P L] {p : P} {l : L} (h : p ∉ l)
[hf : finite {p : P // p ∈ l}] : line_count L p ≤ point_count P l :=
@has_lines.point_count_le_line_count (dual L) (dual P) _ _ l p h hf
variables (P L)
/-- If a nondegenerate configuration has a unique line through any two points, then `|P| ≤ |L|`. -/
lemma has_lines.card_le [has_lines P L] [fintype P] [fintype L] :
fintype.card P ≤ fintype.card L :=
begin
classical,
by_contradiction hc₂,
obtain ⟨f, hf₁, hf₂⟩ := nondegenerate.exists_injective_of_card_le (le_of_not_le hc₂),
have := calc ∑ p, line_count L p = ∑ l, point_count P l : sum_line_count_eq_sum_point_count P L
... ≤ ∑ l, line_count L (f l) :
finset.sum_le_sum (λ l hl, has_lines.point_count_le_line_count (hf₂ l))
... = ∑ p in finset.univ.image f, line_count L p :
finset.sum_bij (λ l hl, f l) (λ l hl, finset.mem_image_of_mem f hl) (λ l hl, rfl)
(λ l₁ l₂ hl₁ hl₂ hl₃, hf₁ hl₃) (λ p, by simp_rw [finset.mem_image, eq_comm, imp_self])
... < ∑ p, line_count L p : _,
{ exact lt_irrefl _ this },
{ obtain ⟨p, hp⟩ := not_forall.mp (mt (fintype.card_le_of_surjective f) hc₂),
refine finset.sum_lt_sum_of_subset ((finset.univ.image f).subset_univ) (finset.mem_univ p)
_ _ (λ p hp₁ hp₂, zero_le (line_count L p)),
{ simpa only [finset.mem_image, exists_prop, finset.mem_univ, true_and] },
{ rw [line_count, nat.card_eq_fintype_card, fintype.card_pos_iff],
obtain ⟨l, hl⟩ := @exists_line P L _ _ p,
exact let this := not_exists.mp hp l in ⟨⟨mk_line this, (mk_line_ax this).2⟩⟩ } },
end
/-- If a nondegenerate configuration has a unique point on any two lines, then `|L| ≤ |P|`. -/
lemma has_points.card_le [has_points P L] [fintype P] [fintype L] :
fintype.card L ≤ fintype.card P :=
@has_lines.card_le (dual L) (dual P) _ _ _ _
variables {P L}
lemma has_lines.exists_bijective_of_card_eq [has_lines P L]
[fintype P] [fintype L] (h : fintype.card P = fintype.card L) :
∃ f : L → P, function.bijective f ∧ ∀ l, point_count P l = line_count L (f l) :=
begin
classical,
obtain ⟨f, hf1, hf2⟩ := nondegenerate.exists_injective_of_card_le (ge_of_eq h),
have hf3 := (fintype.bijective_iff_injective_and_card f).mpr ⟨hf1, h.symm⟩,
refine ⟨f, hf3, λ l, (finset.sum_eq_sum_iff_of_le
(by exact λ l hl, has_lines.point_count_le_line_count (hf2 l))).mp
((sum_line_count_eq_sum_point_count P L).symm.trans ((finset.sum_bij (λ l hl, f l)
(λ l hl, finset.mem_univ (f l)) (λ l hl, refl (line_count L (f l)))
(λ l₁ l₂ hl₁ hl₂ hl, hf1 hl) (λ p hp, _)).symm)) l (finset.mem_univ l)⟩,
obtain ⟨l, rfl⟩ := hf3.2 p,
exact ⟨l, finset.mem_univ l, rfl⟩,
end
lemma has_lines.line_count_eq_point_count [has_lines P L] [fintype P] [fintype L]
(hPL : fintype.card P = fintype.card L) {p : P} {l : L} (hpl : p ∉ l) :
line_count L p = point_count P l :=
begin
classical,
obtain ⟨f, hf1, hf2⟩ := has_lines.exists_bijective_of_card_eq hPL,
let s : finset (P × L) := set.to_finset {i | i.1 ∈ i.2},
have step1 : ∑ i : P × L, line_count L i.1 = ∑ i : P × L, point_count P i.2,
{ rw [←finset.univ_product_univ, finset.sum_product_right, finset.sum_product],
simp_rw [finset.sum_const, finset.card_univ, hPL, sum_line_count_eq_sum_point_count] },
have step2 : ∑ i in s, line_count L i.1 = ∑ i in s, point_count P i.2,
{ rw [s.sum_finset_product finset.univ (λ p, set.to_finset {l | p ∈ l})],
rw [s.sum_finset_product_right finset.univ (λ l, set.to_finset {p | p ∈ l})],
refine (finset.sum_bij (λ l hl, f l) (λ l hl, finset.mem_univ (f l)) (λ l hl, _)
(λ _ _ _ _ h, hf1.1 h) (λ p hp, _)).symm,
{ simp_rw [finset.sum_const, set.to_finset_card, ←nat.card_eq_fintype_card],
change (point_count P l) • (point_count P l) = (line_count L (f l)) • (line_count L (f l)),
rw hf2 },
{ obtain ⟨l, hl⟩ := hf1.2 p,
exact ⟨l, finset.mem_univ l, hl.symm⟩ },
all_goals { simp_rw [finset.mem_univ, true_and, set.mem_to_finset], exact λ p, iff.rfl } },
have step3 : ∑ i in sᶜ, line_count L i.1 = ∑ i in sᶜ, point_count P i.2,
{ rwa [←s.sum_add_sum_compl, ←s.sum_add_sum_compl, step2, add_left_cancel_iff] at step1 },
rw ← set.to_finset_compl at step3,
exact ((finset.sum_eq_sum_iff_of_le (by exact λ i hi, has_lines.point_count_le_line_count
(set.mem_to_finset.mp hi))).mp step3.symm (p, l) (set.mem_to_finset.mpr hpl)).symm,
end
lemma has_points.line_count_eq_point_count [has_points P L] [fintype P] [fintype L]
(hPL : fintype.card P = fintype.card L) {p : P} {l : L} (hpl : p ∉ l) :
line_count L p = point_count P l :=
(@has_lines.line_count_eq_point_count (dual L) (dual P) _ _ _ _ hPL.symm l p hpl).symm
/-- If a nondegenerate configuration has a unique line through any two points, and if `|P| = |L|`,
then there is a unique point on any two lines. -/
noncomputable def has_lines.has_points [has_lines P L] [fintype P] [fintype L]
(h : fintype.card P = fintype.card L) : has_points P L :=
let this : ∀ l₁ l₂ : L, l₁ ≠ l₂ → ∃ p : P, p ∈ l₁ ∧ p ∈ l₂ := λ l₁ l₂ hl, begin
classical,
obtain ⟨f, hf1, hf2⟩ := has_lines.exists_bijective_of_card_eq h,
haveI : nontrivial L := ⟨⟨l₁, l₂, hl⟩⟩,
haveI := fintype.one_lt_card_iff_nontrivial.mp ((congr_arg _ h).mpr fintype.one_lt_card),
have h₁ : ∀ p : P, 0 < line_count L p := λ p, exists.elim (exists_ne p) (λ q hq, (congr_arg _
nat.card_eq_fintype_card).mpr (fintype.card_pos_iff.mpr ⟨⟨mk_line hq, (mk_line_ax hq).2⟩⟩)),
have h₂ : ∀ l : L, 0 < point_count P l := λ l, (congr_arg _ (hf2 l)).mpr (h₁ (f l)),
obtain ⟨p, hl₁⟩ := fintype.card_pos_iff.mp ((congr_arg _ nat.card_eq_fintype_card).mp (h₂ l₁)),
by_cases hl₂ : p ∈ l₂, exact ⟨p, hl₁, hl₂⟩,
have key' : fintype.card {q : P // q ∈ l₂} = fintype.card {l : L // p ∈ l},
{ exact ((has_lines.line_count_eq_point_count h hl₂).trans nat.card_eq_fintype_card).symm.trans
nat.card_eq_fintype_card, },
have : ∀ q : {q // q ∈ l₂}, p ≠ q := λ q hq, hl₂ ((congr_arg (∈ l₂) hq).mpr q.2),
let f : {q : P // q ∈ l₂} → {l : L // p ∈ l} := λ q, ⟨mk_line (this q), (mk_line_ax (this q)).1⟩,
have hf : function.injective f := λ q₁ q₂ hq, subtype.ext ((eq_or_eq q₁.2 q₂.2
(mk_line_ax (this q₁)).2 ((congr_arg _ (subtype.ext_iff.mp hq)).mpr (mk_line_ax
(this q₂)).2)).resolve_right (λ h, (congr_arg _ h).mp hl₂ (mk_line_ax (this q₁)).1)),
have key' := ((fintype.bijective_iff_injective_and_card f).mpr ⟨hf, key'⟩).2,
obtain ⟨q, hq⟩ := key' ⟨l₁, hl₁⟩,
exact ⟨q, (congr_arg _ (subtype.ext_iff.mp hq)).mp (mk_line_ax (this q)).2, q.2⟩,
end in
{ mk_point := λ l₁ l₂ hl, classical.some (this l₁ l₂ hl),
mk_point_ax := λ l₁ l₂ hl, classical.some_spec (this l₁ l₂ hl),
.. ‹has_lines P L› }
/-- If a nondegenerate configuration has a unique point on any two lines, and if `|P| = |L|`,
then there is a unique line through any two points. -/
noncomputable def has_points.has_lines [has_points P L] [fintype P] [fintype L]
(h : fintype.card P = fintype.card L) : has_lines P L :=
let this := @has_lines.has_points (dual L) (dual P) _ _ _ _ h.symm in
{ mk_line := λ _ _, this.mk_point,
mk_line_ax := λ _ _, this.mk_point_ax,
.. ‹has_points P L› }
variables (P L)
/-- A projective plane is a nondegenerate configuration in which every pair of lines has
an intersection point, every pair of points has a line through them,
and which has three points in general position. -/
class projective_plane extends has_points P L, has_lines P L :=
(exists_config : ∃ (p₁ p₂ p₃ : P) (l₁ l₂ l₃ : L), p₁ ∉ l₂ ∧ p₁ ∉ l₃ ∧
p₂ ∉ l₁ ∧ p₂ ∈ l₂ ∧ p₂ ∈ l₃ ∧ p₃ ∉ l₁ ∧ p₃ ∈ l₂ ∧ p₃ ∉ l₃)
namespace projective_plane
variables [projective_plane P L]
instance : projective_plane (dual L) (dual P) :=
{ exists_config :=
let ⟨p₁, p₂, p₃, l₁, l₂, l₃, h₁₂, h₁₃, h₂₁, h₂₂, h₂₃, h₃₁, h₃₂, h₃₃⟩ :=
@exists_config P L _ _ in
⟨l₁, l₂, l₃, p₁, p₂, p₃, h₂₁, h₃₁, h₁₂, h₂₂, h₃₂, h₁₃, h₂₃, h₃₃⟩,
.. dual.has_points _ _,
.. dual.has_lines _ _ }
/-- The order of a projective plane is one less than the number of lines through an arbitrary point.
Equivalently, it is one less than the number of points on an arbitrary line. -/
noncomputable def order : ℕ :=
line_count L (classical.some (@exists_config P L _ _)) - 1
lemma card_points_eq_card_lines [fintype P] [fintype L] : fintype.card P = fintype.card L :=
le_antisymm (has_lines.card_le P L) (has_points.card_le P L)
variables {P} (L)
lemma line_count_eq_line_count [finite P] [finite L] (p q : P) :
line_count L p = line_count L q :=
begin
casesI nonempty_fintype P,
casesI nonempty_fintype L,
obtain ⟨p₁, p₂, p₃, l₁, l₂, l₃, h₁₂, h₁₃, h₂₁, h₂₂, h₂₃, h₃₁, h₃₂, h₃₃⟩ := exists_config,
have h := card_points_eq_card_lines P L,
let n := line_count L p₂,
have hp₂ : line_count L p₂ = n := rfl,
have hl₁ : point_count P l₁ = n := (has_lines.line_count_eq_point_count h h₂₁).symm.trans hp₂,
have hp₃ : line_count L p₃ = n := (has_lines.line_count_eq_point_count h h₃₁).trans hl₁,
have hl₃ : point_count P l₃ = n := (has_lines.line_count_eq_point_count h h₃₃).symm.trans hp₃,
have hp₁ : line_count L p₁ = n := (has_lines.line_count_eq_point_count h h₁₃).trans hl₃,
have hl₂ : point_count P l₂ = n := (has_lines.line_count_eq_point_count h h₁₂).symm.trans hp₁,
suffices : ∀ p : P, line_count L p = n, { exact (this p).trans (this q).symm },
refine λ p, or_not.elim (λ h₂, _) (λ h₂, (has_lines.line_count_eq_point_count h h₂).trans hl₂),
refine or_not.elim (λ h₃, _) (λ h₃, (has_lines.line_count_eq_point_count h h₃).trans hl₃),
rwa (eq_or_eq h₂ h₂₂ h₃ h₂₃).resolve_right (λ h, h₃₃ ((congr_arg (has_mem.mem p₃) h).mp h₃₂)),
end
variables (P) {L}
lemma point_count_eq_point_count [finite P] [finite L] (l m : L) :
point_count P l = point_count P m :=
line_count_eq_line_count (dual P) l m
variables {P L}
lemma line_count_eq_point_count [finite P] [finite L] (p : P) (l : L) :
line_count L p = point_count P l :=
exists.elim (exists_point l) $ λ q hq, (line_count_eq_line_count L p q).trans $
by { casesI nonempty_fintype P, casesI nonempty_fintype L,
exact has_lines.line_count_eq_point_count (card_points_eq_card_lines P L) hq }
variables (P L)
lemma dual.order [finite P] [finite L] : order (dual L) (dual P) = order P L :=
congr_arg (λ n, n - 1) (line_count_eq_point_count _ _)
variables {P} (L)
lemma line_count_eq [finite P] [finite L] (p : P) : line_count L p = order P L + 1 :=
begin
classical,
obtain ⟨q, -, -, l, -, -, -, -, h, -⟩ := classical.some_spec (@exists_config P L _ _),
casesI nonempty_fintype {l : L // q ∈ l},
rw [order, line_count_eq_line_count L p q, line_count_eq_line_count L (classical.some _) q,
line_count, nat.card_eq_fintype_card, nat.sub_add_cancel],
exact fintype.card_pos_iff.mpr ⟨⟨l, h⟩⟩,
end
variables (P) {L}
lemma point_count_eq [finite P] [finite L] (l : L) : point_count P l = order P L + 1 :=
(line_count_eq (dual P) l).trans (congr_arg (λ n, n + 1) (dual.order P L))
variables (P L)
lemma one_lt_order [finite P] [finite L] : 1 < order P L :=
begin
obtain ⟨p₁, p₂, p₃, l₁, l₂, l₃, -, -, h₂₁, h₂₂, h₂₃, h₃₁, h₃₂, h₃₃⟩ := @exists_config P L _ _,
classical,
casesI nonempty_fintype {p : P // p ∈ l₂},
rw [←add_lt_add_iff_right, ←point_count_eq _ l₂, point_count, nat.card_eq_fintype_card],
simp_rw [fintype.two_lt_card_iff, ne, subtype.ext_iff],
have h := mk_point_ax (λ h, h₂₁ ((congr_arg _ h).mpr h₂₂)),
exact ⟨⟨mk_point _, h.2⟩, ⟨p₂, h₂₂⟩, ⟨p₃, h₃₂⟩,
ne_of_mem_of_not_mem h.1 h₂₁, ne_of_mem_of_not_mem h.1 h₃₁, ne_of_mem_of_not_mem h₂₃ h₃₃⟩,
end
variables {P} (L)
lemma two_lt_line_count [finite P] [finite L] (p : P) : 2 < line_count L p :=
by simpa only [line_count_eq L p, nat.succ_lt_succ_iff] using one_lt_order P L
variables (P) {L}
lemma two_lt_point_count [finite P] [finite L] (l : L) : 2 < point_count P l :=
by simpa only [point_count_eq P l, nat.succ_lt_succ_iff] using one_lt_order P L
variables (P) (L)
lemma card_points [fintype P] [finite L] : fintype.card P = order P L ^ 2 + order P L + 1 :=
begin
casesI nonempty_fintype L,
obtain ⟨p, -⟩ := @exists_config P L _ _,
let ϕ : {q // q ≠ p} ≃ Σ (l : {l : L // p ∈ l}), {q // q ∈ l.1 ∧ q ≠ p} :=
{ to_fun := λ q, ⟨⟨mk_line q.2, (mk_line_ax q.2).2⟩, q, (mk_line_ax q.2).1, q.2⟩,
inv_fun := λ lq, ⟨lq.2, lq.2.2.2⟩,
left_inv := λ q, subtype.ext rfl,
right_inv := λ lq, sigma.subtype_ext (subtype.ext ((eq_or_eq (mk_line_ax lq.2.2.2).1
(mk_line_ax lq.2.2.2).2 lq.2.2.1 lq.1.2).resolve_left lq.2.2.2)) rfl },
classical,
have h1 : fintype.card {q // q ≠ p} + 1 = fintype.card P,
{ apply (eq_tsub_iff_add_eq_of_le (nat.succ_le_of_lt (fintype.card_pos_iff.mpr ⟨p⟩))).mp,
convert (fintype.card_subtype_compl _).trans (congr_arg _ (fintype.card_subtype_eq p)) },
have h2 : ∀ l : {l : L // p ∈ l}, fintype.card {q // q ∈ l.1 ∧ q ≠ p} = order P L,
{ intro l,
rw [←fintype.card_congr (equiv.subtype_subtype_equiv_subtype_inter (∈ l.val) (≠ p)),
fintype.card_subtype_compl (λ (x : subtype (∈ l.val)), x.val = p), ←nat.card_eq_fintype_card],
refine tsub_eq_of_eq_add ((point_count_eq P l.1).trans _),
rw ← fintype.card_subtype_eq (⟨p, l.2⟩ : {q : P // q ∈ l.1}),
simp_rw subtype.ext_iff_val },
simp_rw [←h1, fintype.card_congr ϕ, fintype.card_sigma, h2, finset.sum_const, finset.card_univ],
rw [←nat.card_eq_fintype_card, ←line_count, line_count_eq, smul_eq_mul, nat.succ_mul, sq],
end
lemma card_lines [finite P] [fintype L] :
fintype.card L = order P L ^ 2 + order P L + 1 :=
(card_points (dual L) (dual P)).trans (congr_arg (λ n, n ^ 2 + n + 1) (dual.order P L))
end projective_plane
end configuration
|
ce7b0f333f64625dc5d916d163f14aa857cdfe89 | cf39355caa609c0f33405126beee2739aa3cb77e | /tests/lean/run/dsimp_test.lean | d6ba271070e3a5f6d6fc8d46b2b9224840ee229a | [
"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 | 1,622 | lean | def f : nat → nat
| 0 := 10
| (n+1) := 20 + n
open list tactic
local attribute [-simp] map head
example (a b c : nat) : head (map f [1, 2, 3]) = 20 :=
begin
dsimp [map],
guard_target head [f 1, f 2, f 3] = 20,
dsimp [f],
guard_target head [20 + 0, 20 + 1, 20 + 2] = 20,
dsimp [head],
guard_target 20 + 0 = 20,
reflexivity
end
example (a b c : nat) : head (map f [1, 2, 3]) = 20 :=
begin
dsimp [map, f, head],
guard_target 20 + 0 = 20,
reflexivity
end
@[simp] lemma succ_zero_eq_one : nat.succ 0 = 1 :=
rfl
def g : nat × nat → nat
| (a, b) := a + b
lemma gax (x y) : g (x, y) = x + y :=
rfl
attribute [simp] gax
example (a b c : nat) : g (f 1, f 2) = 41 :=
begin
dsimp,
guard_target f 1 + f 2 = 41,
dsimp [f],
reflexivity
end
example (a b c : nat) : g (f 1, f 2) = 41 :=
begin
dsimp [f],
guard_target 20 + 0 + (20 + 1) = 41,
reflexivity
end
example (a b c : nat) : g (f 1, f 2) = 41 :=
begin
dsimp [f, -gax],
guard_target g (20 + 0, 20 + 1) = 41,
dsimp [g],
guard_target 20 + 0 + (20 + 1) = 41,
reflexivity
end
local attribute [-simp] gax
example (a b c : nat) : g (f 1, f 2) = 41 :=
begin
dsimp [f],
guard_target g (20 + 0, 20 + 1) = 41,
dsimp [gax],
guard_target 20 + 0 + (20 + 1) = 41,
reflexivity
end
example (a b c : nat) : g (f 1, f 2) = 41 :=
begin
dsimp [f, gax],
guard_target 20 + 0 + (20 + 1) = 41,
reflexivity
end
def is_one (x : ℕ) : Prop := x = 1
@[simp]
lemma is_one_iff (x : ℕ) : is_one x ↔ x = 1 := iff.rfl
example : ¬is_one 2 :=
begin
dsimp only [is_one_iff],
guard_target ¬2 = 1,
intro h,
cases h,
end
|
c8664b2bf26f02829854ababb480b35084f4178c | 290f65d8de0088e3098f612884d54e5b714d7862 | /src/affine_algebraic_set/intersection.lean | 4005c48acb736c045d36603cfa2ee1317bcf7b34 | [
"Apache-2.0"
] | permissive | auhlmann/M4P33 | ec775fd53610427b35f59ef84d469c30511de24e | dc2586aa3a8e0d916fc0795df592a996c89c85bb | refs/heads/master | 1,607,862,664,432 | 1,579,796,968,000 | 1,579,796,968,000 | 234,415,945 | 0 | 0 | Apache-2.0 | 1,579,210,321,000 | 1,579,210,320,000 | null | UTF-8 | Lean | false | false | 1,951 | lean | /-
The intersection of algebraic sets is an algebraic set.
Kevin Buzzard
-/
import affine_algebraic_set.basic -- the basic theory of affine algebraic sets.
/-
# The intersection of (any number of) affine algebraic sets is affine.
Let k be a field and let n be a natural number. We prove the following
theorem in this file:
Theorem. If I is an index set, and for each i ∈ I we have an
affine algebraic subset Vᵢ of kⁿ, then the intersection ⋂_{i ∈ I} Vᵢ
is also an affine algebraic subset of kⁿ.
Lean version:
** TODO
Maths proof: if Vᵢ is cut out by the set Sᵢ ⊆ k[X_1,X_2,…,X_n]
and we consider the set S = ⋃_{i ∈ I} Sᵢ then it is straightforward
to check that this works.
## References
Martin Orr's lecture notes at https://homepages.warwick.ac.uk/staff/Martin.Orr/2017-8/alg-geom/
## Tags
algebraic geometry, algebraic variety
-/
-- end of docstring; code starts here.
-- We're proving theorems about affine algebraic sets so the names of the theorems
-- should start with "affine_algebraic_set".
namespace affine_algebraic_set
-- let k be a field
variables {k : Type*} [discrete_field k]
-- and let n be a natural number
variable {n : ℕ}
-- We're working with multivariable polynomials, so let's get access to their notation
open mv_polynomial
/-- An arbitrary intersection of affine algebraic subsets of kⁿ
is an affine algebraic subset of kⁿ -/
def Inter (I : Type*) (V : I → affine_algebraic_set k n) :
affine_algebraic_set k n :=
sorry
#exit
#check lattice.infi
#print notation ⋂
-- need to get intersection notation working
{ carrier := ⋂ (i : I) (V i : set _), -- the underlying set is the union of the two sets defining V and W
is_algebraic' :=
-- We now need to prove that the union of V and W is cut out by some set of polynomials.
begin
-- Now here's the bad news.
-- Lean notation for kⁿ is `fin n → k`.
-- Lean notation for k[X₁, X₂, ..., |
38562e161ed55c19b3a82b69e9070c18ce60e3f2 | d0f9af2b0ace5ce352570d61b09019c8ef4a3b96 | /notes/2020.03.05-notes.lean | 9320ba4dbdd9ea72e65c322afcf330811eb12922 | [] | no_license | jngo13/Discrete-Mathematics | 8671540ef2da7c75915d32332dd20c02f001474e | bf674a866e61f60e6e6d128df85fa73819091787 | refs/heads/master | 1,675,615,657,924 | 1,609,142,011,000 | 1,609,142,011,000 | 267,190,341 | 0 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 1,646 | lean | /-
Suppose we want to compute a boolean value, with the
result, true (tt), if all of the strings in a lisst of
strings has even length, and false (ff) otherwise. To
build this function, it'd be nice to have two helper
functions: len : string → ℕ , that computes the length
of a given string, and one, ev, that decides whether
a given natural number is even or odd. Here are such
functions.
-/
/-
What do we have to work with?
- string length string → nat
is_even : nat → bool
composeL α → β → β → γ → α → γ
case analysis,m [] or h::t
recusrion
-/
/-
[] = tt
["Hello"] - ff
["Hello!"] - tt
["Hello", ...]
-/
def compose {α β γ : Type} : (α → β ) → (β → γ) → (α → γ)
| f g := λ (a : α), g(f a)
def len := string.length
def ev : ℕ → bool
| 0:=tt
| 1:=ff
| (n' + 2):= ev n'
def ev_string := ev ∘ len
/-
cons "Hello" nil
nil
cons "Hello" (cons "These" nil)
op: (len string h) AND (rest of the list is all even strings)
op: string → bool → bool
-/
def all_even_op:= string → bool → bool
| s b := band (all_even_op s) b
-- combines using band
/-
Now to reduce an entire list, we apply this function
recursively. Here's an implementation.
-/
def foldr {α β : Type} :
/-op:-/ (α → β → β ) →
/-id:-/ β →
/-list:-/ list α →
/-result:-/ β
-- by case analysis on list
| op id [] := id
| op id (h :: t) := op h (foldr op id t)
#eval foldr nat.add 0 [1,2,3,4,5,6,7,8,9,10]
def sum_list := foldr nat.add 0
def prod_list := foldr nat.mul 1
def all_ev := foldr all_even_op tt
#eval all_even_op ["ee", "eeee", "ffffff"] |
646edb1440904e256a70a025d18584ac25c4280b | fe84e287c662151bb313504482b218a503b972f3 | /src/combinatorics/matching.lean | b557e88c8d8899cddb944b89f42202758862efcc | [] | no_license | NeilStrickland/lean_lib | 91e163f514b829c42fe75636407138b5c75cba83 | 6a9563de93748ace509d9db4302db6cd77d8f92c | refs/heads/master | 1,653,408,198,261 | 1,652,996,419,000 | 1,652,996,419,000 | 181,006,067 | 4 | 1 | null | null | null | null | UTF-8 | Lean | false | false | 14,700 | lean | /-
Copyright (c) 2019 Neil Strickland. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Neil Strickland
This is about matching problems. We have two sets `A` and `B`,
and a relation between them (formalised as `E : finset (A × B)`).
Everything is assumed to be finite and decidable. Standard
motivating examples:
- `A` is a set of jobs, `B` is a set of people, `(a,b)` lies
in `E` iff person `b` is qualified for job `a`. We seek
to assign jobs to qualified people in such a way that
no one has more than one job.
- `A` and `B` are sets of people such that people in `A` are
only interested in marrying people in `B` and vice-versa.
A pair `(a,b)` lies in `E` iff `a` and `b` would be content
to marry each other. We seek to assign marriage partners
in such a way that everyone is content.
Formally, a (partial) matching is a subset `M ⊆ E` such that
the projections `M → A` and `M → B` are both injective. The
theory contains various results about the existence or number
of partial matchings with various additional properties. The
key result is Hall's Marriage Theorem; we have not yet written
either the statement or the proof.
The main result that we have written is the inclusion-exclusion
principle. To explain this, note that each `b ∈ B` gives us
a "column set" `col E b = {a : (a,b) ∈ E}`. (There are also
"row sets", defined in a similar way, and we have lots of fairly
trivial lemmas translating information about `E` into information
about row sets or column sets and vice versa.) The
inclusion-exclusion principle is usually formulated as an
equation for the order of the union of a finite family of
finite sets. Such a family can be encoded as the column sets
of a matching problem as above; then the union of the columns
corresponds to the set of nonempty rows. It is tidier to
count the number of empty rows, which is the complement of the
union of the columns. The inclusion-exclusion principle says
that the number of empty rows is the sum over `U ⊆ B` of
`(-1)^|U| * |X_U|`, where `X_U` is the intersection of the sets
`col E b` for `b ∈ U`. In Lean notation, the number
`(-1)^|U|` is `card_sign U`, and the set `X_U` is
`col_inter E U`. The IEP is formalised as
`combinatorics.matching.inclusion_exclusion`.
-/
import data.fintype.basic
import combinatorics.card_sign
open finset
lemma finset.mem_univ_filter {α : Type*} [fintype α]
{p : α → Prop} [decidable_pred p] {a : α} :
a ∈ univ.filter p ↔ p a :=
by {rw[mem_filter],simp only [mem_univ a,true_and],}
lemma finset.mem_bind_univ
{α : Type*} [fintype α] {β : Type*} [decidable_eq β]
{f : α → finset β} {b : β} :
b ∈ univ.bUnion f ↔ ∃ a : α, b ∈ (f a) :=
by {split,
{intro h,rcases mem_bUnion.mp h with ⟨a,_,ha⟩,exact ⟨a,ha⟩},
{rintro ⟨a,ha⟩,exact mem_bUnion.mpr ⟨a,⟨mem_univ a,ha⟩⟩}}
namespace combinatorics
namespace matching
universes u v
variables {A : Type u} [fintype A] [decidable_eq A]
variables {B : Type u} [fintype B] [decidable_eq B]
def swap : A × B → B × A := λ ab, ⟨ab.2,ab.1⟩
lemma swap_swap : ∀ ab : (A × B), swap (swap ab) = ab
| ⟨a,b⟩ := rfl
lemma fst_swap : prod.fst ∘ (swap : A × B → B × A) = prod.snd :=
by { ext ⟨a,b⟩, refl }
lemma snd_swap : prod.snd ∘ (swap : A × B → B × A) = prod.fst :=
by { ext ⟨a,b⟩, refl }
def swap_equiv : (A × B) ≃ (B × A) := {
to_fun := swap, inv_fun := swap,
left_inv := swap_swap, right_inv := swap_swap
}
def sswap : finset (A × B) → finset (B × A) :=
λ M, M.map swap_equiv.to_embedding
lemma mem_sswap (M : finset (A × B)) (ba : B × A) :
ba ∈ sswap M ↔ swap ba ∈ M :=
begin
split,
{intro h,rcases mem_map.mp h with ⟨ab,⟨hab,e⟩⟩,
change swap ab = ba at e,rw[← e,swap_swap],exact hab,
},{
intro hba,apply mem_map.mpr,use swap ba,use hba,
exact swap_swap ba,
}
end
lemma mem_sswap' (M : finset (A × B)) (a : A) (b : B) :
prod.mk b a ∈ sswap M ↔ prod.mk a b ∈ M :=
by {rw[mem_sswap,swap],}
lemma sswap_sswap (M : finset (A × B)) : sswap (sswap M) = M :=
by {ext ⟨a,b⟩,rw[mem_sswap',mem_sswap']}
def incl (a : A) : B ↪ (A × B) :=
⟨λ b,prod.mk a b,λ b₀ b₁ e, congr_arg prod.snd e⟩
def incr (b : B) : A ↪ (A × B) :=
⟨λ a,prod.mk a b,λ a₀ a₁ e,congr_arg prod.fst e⟩
lemma mem_incl {U : finset B} {a : A} : ∀ {xy : A × B},
xy ∈ U.map (incl a) ↔ xy.1 = a ∧ xy.2 ∈ U
| ⟨x,y⟩ := begin
split,
{rintro hxy,rcases mem_map.mp hxy with ⟨b,⟨hb,e⟩⟩,
have ea : a = x := congr_arg prod.fst e,
have eb : b = y := congr_arg prod.snd e,
rw[← ea,← eb],exact ⟨rfl,hb⟩,
},{
rintro ⟨ex,hy⟩,change x = a at ex,change y ∈ U at hy,
rw[ex],exact mem_map.mpr ⟨y,hy,rfl⟩,
}
end
lemma mem_incr {T : finset A} {b : B} : ∀ {xy : A × B},
xy ∈ T.map (incr b) ↔ xy.1 ∈ T ∧ xy.2 = b
| ⟨x,y⟩ := begin
split,
{rintro hxy,rcases mem_map.mp hxy with ⟨a,⟨ha,e⟩⟩,
have ea : a = x := congr_arg prod.fst e,
have eb : b = y := congr_arg prod.snd e,
rw[← ea,← eb],exact ⟨ha,rfl⟩,
},{
rintro ⟨hx,ey⟩,change x ∈ T at hx,change y = b at ey,
rw[ey],exact mem_map.mpr ⟨x,hx,rfl⟩,
}
end
variable E : finset (A × B)
def row (a : A) : finset B := univ.filter (λ b, (prod.mk a b) ∈ E)
def row' (a : A) := E.filter (λ ab, ab.1 = a)
def col (b : B) : finset A := univ.filter (λ a, (prod.mk a b) ∈ E)
def col' (b : B) := E.filter (λ ab, ab.2 = b)
def row_union (T : finset A) := T.bUnion (row E)
def col_union (U : finset B) := U.bUnion (col E)
def row_inter (T : finset A) : finset B := univ.filter (λ b, T ⊆ col E b)
def col_inter (U : finset B) : finset A := univ.filter (λ a, U ⊆ row E a)
def clear_rows : finset A := univ.filter (λ a, row E a = ∅)
def clear_cols : finset B := univ.filter (λ b, col E b = ∅)
lemma mem_row (a : A) {b : B} : b ∈ row E a ↔ (prod.mk a b ∈ E) :=
by {apply finset.mem_univ_filter,}
lemma mem_col (b : B) {a : A} : a ∈ col E b ↔ (prod.mk a b ∈ E) :=
by {apply finset.mem_univ_filter,}
lemma mem_row_col {a : A} {b : B} : b ∈ row E a ↔ a ∈ col E b :=
by {rw[mem_row,mem_col]}
lemma mem_row_union (T : finset A) (b : B) :
b ∈ row_union E T ↔ ∃ a ∈ T, b ∈ row E a :=
by {rw[row_union,mem_bUnion]}
lemma mem_col_union (U : finset B) (a : A) :
a ∈ col_union E U ↔ ∃ b ∈ U, a ∈ col E b :=
by {rw[col_union,mem_bUnion]}
lemma mem_row_inter (T : finset A) (b : B) :
b ∈ row_inter E T ↔ ∀ a ∈ T, b ∈ row E a :=
by {
rw[row_inter,finset.mem_univ_filter],
split; intros h a haT,
{exact (mem_row E a).mpr ((mem_col E b).mp (h haT)),},
{exact (mem_col E b).mpr ((mem_row E a).mp (h a haT)),}
}
lemma mem_col_inter (U : finset B) (a : A) :
a ∈ col_inter E U ↔ ∀ b ∈ U, a ∈ col E b :=
by {
rw[col_inter,finset.mem_univ_filter],
split; intros h b hbU,
{exact (mem_col E b).mpr ((mem_row E a).mp (h hbU)),},
{exact (mem_row E a).mpr ((mem_col E b).mp (h b hbU)),}
}
lemma mem_clear_rows (a : A) : a ∈ clear_rows E ↔ row E a = ∅ :=
by {rw[clear_rows,finset.mem_univ_filter],}
lemma mem_clear_cols (b : B) : b ∈ clear_cols E ↔ col E b = ∅ :=
by {rw[clear_cols,finset.mem_univ_filter],}
lemma row_sswap (b : B) : row (sswap E) b = col E b :=
by {ext a,rw[mem_row,mem_col,mem_sswap'],}
lemma col_sswap (a : A) : col (sswap E) a = row E a :=
by {ext b,rw[mem_row,mem_col,mem_sswap'],}
lemma row'_sswap (b : B) : row' (sswap E) b = sswap (col' E b) :=
by {ext ⟨x,y⟩,
rw[mem_sswap',row',col',mem_filter,mem_filter,mem_sswap'],}
lemma col'_sswap (a : A) : col' (sswap E) a = sswap (row' E a) :=
by {ext ⟨x,y⟩,
rw[mem_sswap',row',col',mem_filter,mem_filter,mem_sswap'],}
lemma row_union_sswap (U : finset B) : row_union (sswap E) U = col_union E U :=
by {ext a,rw[mem_row_union,mem_col_union],
split; rintro ⟨b,⟨hb,h⟩⟩; use b; use hb,
{rw[row_sswap] at h,exact h},
{rw[row_sswap] at ⊢,exact h}
}
lemma col_union_sswap (T : finset A) : col_union (sswap E) T = row_union E T :=
by {ext b,rw[mem_row_union,mem_col_union],
split; rintro ⟨a,⟨ha,h⟩⟩; use a; use ha,
{rw[col_sswap] at h,exact h},
{rw[col_sswap] at ⊢,exact h}
}
lemma row_inter_sswap (U : finset B) : row_inter (sswap E) U = col_inter E U :=
by {ext a,rw[mem_row_inter,mem_col_inter],
split; intros h b b_in_U; let h' := h b b_in_U,
{rw[row_sswap] at h',exact h'},
{rw[row_sswap] at ⊢ ,exact h'}
}
lemma clear_rows_sswap : clear_rows (sswap E) = clear_cols E :=
by {ext b,rw[mem_clear_rows,mem_clear_cols,row_sswap],}
lemma clear_cols_sswap : clear_cols (sswap E) = clear_rows E :=
by {ext a,rw[mem_clear_rows,mem_clear_cols,col_sswap],}
lemma row_of_row' (a : A) : row E a = (row' E a).image prod.snd :=
begin
ext b,rw[mem_row,mem_image],split,
{intro h,use ⟨a,b⟩,
have : (prod.mk a b) ∈ row' E a :=
by {rw[row',mem_filter],simp only [h,true_and],},
use this,
},{
rintro ⟨⟨a',b'⟩,hab',hb⟩,
rcases mem_filter.mp hab' with ⟨hab'',ha⟩,
change a' = a at ha, change b' = b at hb,rw[← ha,← hb],exact hab''
}
end
lemma row'_of_row (a : A) : row' E a = (row E a).map (incl a) :=
begin
ext ⟨a',b⟩,
rw[row',mem_filter,mem_incl,mem_row],
split,
{rintro ⟨h,e⟩,change a' = a at e,rw[e] at h ⊢,exact ⟨rfl,h⟩,},
{rintro ⟨e,h⟩,change a' = a at e,rw[e] at h ⊢,exact ⟨h,rfl⟩,}
end
lemma col_of_col' (b : B) : col E b = (col' E b).image prod.fst :=
begin
let f : (A × B) ≃ (B × A) := swap_equiv,
let fe := f.to_embedding,
let C := col' E b,
rw[← row_sswap,row_of_row',row'_sswap,sswap],
change (C.map fe).image prod.snd = C.image prod.fst,
rw[finset.map_eq_image,finset.image_image],
change C.image (prod.snd ∘ swap) = C.image prod.fst,
rw[snd_swap],
end
lemma col'_of_col (b : B) : col' E b = (col E b).map (incr b) :=
begin
let f : (B × A) ≃ (A × B) := swap_equiv,
let fe := f.to_embedding,
let C := col E b,
let e := (congr_arg sswap (row'_sswap E b)).trans (sswap_sswap _),
rw[← e,row'_of_row,row_sswap,sswap],
change (C.map (incl b)).map fe = C.map (incr b),
rw[finset.map_map],congr,
end
def is_matching (M : finset (A × B)) :=
M ⊆ E ∧
(∀ x y : (A × B), x ∈ M → y ∈ M → x.1 = y.1 → x = y) ∧
(∀ x y : (A × B), x ∈ M → y ∈ M → x.2 = y.2 → x = y)
lemma inclusion_exclusion :
((clear_rows E).card : ℤ) =
(@univ B _).powerset.sum (λ U, (card_sign U) * (card (col_inter E U))) :=
begin
let i : A → ((finset B) ↪ (A × (finset B))) := incl,
let j : (finset B) → (A ↪ (A × (finset B))) := incr,
let p : A → finset (A × (finset B)) := (λ a, (row E a).powerset.map (i a)),
let q : finset B → finset (A × (finset B)) := (λ U, (col_inter E U).map (j U)),
let Y := (@univ A _).bUnion p,
let Z := (@univ (finset B) _).bUnion q,
let c : A × (finset B) → ℤ := λ aU, aU.2.card_sign,
have p_disjoint : ∀ a₀ a₁, a₀ ≠ a₁ → disjoint (p a₀) (p a₁) :=
λ a₀ a₁ h, disjoint_iff.mpr $ by {
change (p a₀) ∩ (p a₁) = ∅,
apply eq_empty_of_forall_not_mem, rintros ⟨a,U⟩ h',
rw[mem_inter,mem_incl,mem_incl] at h',
exact h (h'.1.1.symm.trans h'.2.1) },
have q_disjoint : ∀ U₀ U₁, U₀ ≠ U₁ → disjoint (q U₀) (q U₁) :=
λ U₀ U₁ h, disjoint_iff.mpr $ by {
change (q U₀) ∩ (q U₁) = ∅,
apply eq_empty_of_forall_not_mem,rintros ⟨a,U⟩ h',
rw[mem_inter,mem_incr,mem_incr] at h',
exact h (h'.1.2.symm.trans h'.2.2) },
have e : Y = Z := begin
ext ⟨a,U⟩,
split,
{intro hY,rcases finset.mem_bind_univ.mp hY with ⟨a',hY'⟩,
have ea : a = a' := (mem_incl.mp hY').left,
let hU : U ⊆ row E a' := mem_powerset.mp (mem_incl.mp hY').right,
rw[← ea] at hU,
apply finset.mem_bind_univ.mpr,use U,
let haU : a ∈ col_inter E U := (mem_col_inter E U a).mpr
(λ b hb, (mem_col E b).mpr ((mem_row E a).mp (hU hb))),
apply mem_map.mpr,use a,use haU,refl,
},
{intro hZ,rcases finset.mem_bind_univ.mp hZ with ⟨U',hU'⟩,
have eU : U = U' := (mem_incr.mp hU').right,
let ha : a ∈ col_inter E U' := (mem_incr.mp hU').left,
rw[← eU] at ha,
let ha' := (mem_col_inter E U a).mp ha,
have hU'' : U ∈ (row E a).powerset := begin
rw[mem_powerset],intros b b_in_U,exact (mem_row_col E).mpr (ha' b b_in_U),
end,
apply finset.mem_bind_univ.mpr,use a,
apply mem_incl.mpr,
exact ⟨rfl,hU''⟩,
}
end,
let Y_sum : Y.sum c = (@univ A _).sum (λ a, (p a).sum c) :=
sum_bUnion (λ a₀ _ a₁ _ h, p_disjoint a₀ a₁ h),
let Z_sum : Z.sum c = (@univ (finset B) _).sum (λ U, (q U).sum c) :=
sum_bUnion (λ U₀ _ U₁ _ h, q_disjoint U₀ U₁ h),
have p_sum : ∀ a, (p a).sum c = if (row E a) = ∅ then 1 else 0 :=
λ a, begin
let h := card_sign_sum_eq (row E a),
dsimp[card_sign_sum] at h,
dsimp[p],rw[sum_map,← h],congr,
end,
let A₀ := clear_rows E,
let A₁ := univ \ A₀,
have p_sum₀ : ∀ a, a ∈ A₀ → (p a).sum c = 1 := λ a ha,
begin
let h := p_sum a,
rw[if_pos (finset.mem_univ_filter.mp ha)] at h,
exact h,
end,
have p_sum₁ : ∀ a, a ∈ A₁ → (p a).sum c = 0 := λ a ha,
begin
let h := p_sum a,
let ha' :=
(mem_sdiff.mp ha).right ∘ finset.mem_univ_filter.mpr,
rw[if_neg ha'] at h,
exact h,
end,
let Y_sum' := calc
Y.sum c = univ.sum (λ a, (p a).sum c) : Y_sum
... = (A₀ ∪ A₁).sum (λ a, (p a).sum c) :
by rw[union_sdiff_of_subset (subset_univ A₀)]
... = A₀.sum (λ a, (p a).sum c) + A₁.sum (λ a, (p a).sum c) :
by { rw[sum_union (disjoint_iff.mpr (inter_sdiff_self _ _))] }
... = A₀.sum (λ a, 1) + A₁.sum (λ a, 0) :
by rw[sum_congr rfl p_sum₀, sum_congr rfl p_sum₁]
... = A₀.sum (λ a, 1) : by rw[sum_const_zero,add_zero]
... = A₀.card • 1 : by { rw[sum_const] }
... = A₀.card : by simp only[nsmul_one,int.nat_cast_eq_coe_nat]
,
have q_sum : ∀ U, (q U).sum c = (card_sign U) * (card (col_inter E U)) :=
λ U,begin
dsimp[q],
have : (λ a, c ((j U) a)) = (λ a, card_sign U) := by {ext,refl},
rw[sum_map,this,sum_const,nsmul_eq_mul',int.nat_cast_eq_coe_nat],
end,
exact calc
((clear_rows E).card : ℤ) = Y.sum c : Y_sum'.symm
... = Z.sum c : by rw[e]
... = univ.sum (λ U, (q U).sum c) : Z_sum
... = univ.sum (λ U, (card_sign U) * (card (col_inter E U))) :
by {congr, ext, rw[q_sum]}
end
end matching
end combinatorics |
f1c0c0529a85dd8f0b077a3f504e35ef2a986343 | 82b86ba2ae0d5aed0f01f49c46db5afec0eb2bd7 | /tests/lean/run/forBodyResultTypeIssue.lean | ca3436ac655862dd58c0d11db2f80cab2a819a9e | [
"Apache-2.0"
] | permissive | banksonian/lean4 | 3a2e6b0f1eb63aa56ff95b8d07b2f851072d54dc | 78da6b3aa2840693eea354a41e89fc5b212a5011 | refs/heads/master | 1,673,703,624,165 | 1,605,123,551,000 | 1,605,123,551,000 | null | 0 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 738 | lean |
abbrev M := ExceptT String $ StateT Nat Id
def f (xs : List Nat) : M Unit := do
for x in xs do
if x == 0 then
throw "contains zero"
#eval f [1, 2, 3] $.run' 0
#eval f [1, 0, 3] $.run' 0
theorem ex1 : f [1, 2, 3] $.run' 0 = Except.ok () :=
rfl
theorem ex2 : f [1, 0, 3] $.run' 0 = Except.error "contains zero" :=
rfl
universes u
abbrev N := ExceptT (ULift.{u} String) Id
def idM {α : Type u} (a : α) : N α :=
pure a
def checkEq {α : Type u} [BEq α] [ToString α] (a b : α) : N PUnit := do
unless a == b do
throw (ULift.up s!"{a} is not equal to {b}")
def g {α : Type u} [BEq α] [ToString α] (xs : List α) (a : α) : N PUnit := do
for x in xs do
let a ← idM a
checkEq x a
#eval g [1, (2:Nat), 3] 1 $.run
|
6db86354e627daf0db5fdf416d41d191303da360 | 022547453607c6244552158ff25ab3bf17361760 | /src/data/real/nnreal.lean | f99ce1f843de84af1f75f2ec98dda3efe51ab0ca | [
"Apache-2.0"
] | permissive | 1293045656/mathlib | 5f81741a7c1ff1873440ec680b3680bfb6b7b048 | 4709e61525a60189733e72a50e564c58d534bed8 | refs/heads/master | 1,687,010,200,553 | 1,626,245,646,000 | 1,626,245,646,000 | null | 0 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 32,486 | lean | /-
Copyright (c) 2018 Johan Commelin. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Johan Commelin
-/
import algebra.linear_ordered_comm_group_with_zero
import algebra.big_operators.ring
import data.real.basic
import algebra.indicator_function
import algebra.algebra.basic
/-!
# Nonnegative real numbers
In this file we define `nnreal` (notation: `ℝ≥0`) to be the type of non-negative real numbers,
a.k.a. the interval `[0, ∞)`. We also define the following operations and structures on `ℝ≥0`:
* the order on `ℝ≥0` is the restriction of the order on `ℝ`; these relations define a conditionally
complete linear order with a bottom element, `conditionally_complete_linear_order_bot`;
* `a + b` and `a * b` are the restrictions of addition and multiplication of real numbers to `ℝ≥0`;
these operations together with `0 = ⟨0, _⟩` and `1 = ⟨1, _⟩` turn `ℝ≥0` into a linear ordered
archimedean commutative semifield; we have no typeclass for this in `mathlib` yet, so we define
the following instances instead:
- `linear_ordered_semiring ℝ≥0`;
- `comm_semiring ℝ≥0`;
- `canonically_ordered_comm_semiring ℝ≥0`;
- `linear_ordered_comm_group_with_zero ℝ≥0`;
- `archimedean ℝ≥0`.
* `real.to_nnreal x` is defined as `⟨max x 0, _⟩`, i.e. `↑(real.to_nnreal x) = x` when `0 ≤ x` and
`↑(real.to_nnreal x) = 0` otherwise.
We also define an instance `can_lift ℝ ℝ≥0`. This instance can be used by the `lift` tactic to
replace `x : ℝ` and `hx : 0 ≤ x` in the proof context with `x : ℝ≥0` while replacing all occurences
of `x` with `↑x`. This tactic also works for a function `f : α → ℝ` with a hypothesis
`hf : ∀ x, 0 ≤ f x`.
## Notations
This file defines `ℝ≥0` as a localized notation for `nnreal`.
-/
noncomputable theory
open_locale classical big_operators
/-- Nonnegative real numbers. -/
def nnreal := {r : ℝ // 0 ≤ r}
localized "notation ` ℝ≥0 ` := nnreal" in nnreal
namespace nnreal
instance : has_coe ℝ≥0 ℝ := ⟨subtype.val⟩
/- Simp lemma to put back `n.val` into the normal form given by the coercion. -/
@[simp] lemma val_eq_coe (n : ℝ≥0) : n.val = n := rfl
instance : can_lift ℝ ℝ≥0 :=
{ coe := coe,
cond := λ r, 0 ≤ r,
prf := λ x hx, ⟨⟨x, hx⟩, rfl⟩ }
protected lemma eq {n m : ℝ≥0} : (n : ℝ) = (m : ℝ) → n = m := subtype.eq
protected lemma eq_iff {n m : ℝ≥0} : (n : ℝ) = (m : ℝ) ↔ n = m :=
iff.intro nnreal.eq (congr_arg coe)
lemma ne_iff {x y : ℝ≥0} : (x : ℝ) ≠ (y : ℝ) ↔ x ≠ y :=
not_iff_not_of_iff $ nnreal.eq_iff
/-- Reinterpret a real number `r` as a non-negative real number. Returns `0` if `r < 0`. -/
def _root_.real.to_nnreal (r : ℝ) : ℝ≥0 := ⟨max r 0, le_max_right _ _⟩
lemma _root_.real.coe_to_nnreal (r : ℝ) (hr : 0 ≤ r) : (real.to_nnreal r : ℝ) = r :=
max_eq_left hr
lemma _root_.real.le_coe_to_nnreal (r : ℝ) : r ≤ real.to_nnreal r :=
le_max_left r 0
lemma coe_nonneg (r : ℝ≥0) : (0 : ℝ) ≤ r := r.2
@[norm_cast]
theorem coe_mk (a : ℝ) (ha) : ((⟨a, ha⟩ : ℝ≥0) : ℝ) = a := rfl
instance : has_zero ℝ≥0 := ⟨⟨0, le_refl 0⟩⟩
instance : has_one ℝ≥0 := ⟨⟨1, zero_le_one⟩⟩
instance : has_add ℝ≥0 := ⟨λa b, ⟨a + b, add_nonneg a.2 b.2⟩⟩
instance : has_sub ℝ≥0 := ⟨λa b, real.to_nnreal (a - b)⟩
instance : has_mul ℝ≥0 := ⟨λa b, ⟨a * b, mul_nonneg a.2 b.2⟩⟩
instance : has_inv ℝ≥0 := ⟨λa, ⟨(a.1)⁻¹, inv_nonneg.2 a.2⟩⟩
instance : has_div ℝ≥0 := ⟨λa b, ⟨a / b, div_nonneg a.2 b.2⟩⟩
instance : has_le ℝ≥0 := ⟨λ r s, (r:ℝ) ≤ s⟩
instance : has_bot ℝ≥0 := ⟨0⟩
instance : inhabited ℝ≥0 := ⟨0⟩
protected lemma coe_injective : function.injective (coe : ℝ≥0 → ℝ) := subtype.coe_injective
@[simp, norm_cast] protected lemma coe_eq {r₁ r₂ : ℝ≥0} : (r₁ : ℝ) = r₂ ↔ r₁ = r₂ :=
nnreal.coe_injective.eq_iff
@[simp, norm_cast] protected lemma coe_zero : ((0 : ℝ≥0) : ℝ) = 0 := rfl
@[simp, norm_cast] protected lemma coe_one : ((1 : ℝ≥0) : ℝ) = 1 := rfl
@[simp, norm_cast] protected lemma coe_add (r₁ r₂ : ℝ≥0) : ((r₁ + r₂ : ℝ≥0) : ℝ) = r₁ + r₂ := rfl
@[simp, norm_cast] protected lemma coe_mul (r₁ r₂ : ℝ≥0) : ((r₁ * r₂ : ℝ≥0) : ℝ) = r₁ * r₂ := rfl
@[simp, norm_cast] protected lemma coe_inv (r : ℝ≥0) : ((r⁻¹ : ℝ≥0) : ℝ) = r⁻¹ := rfl
@[simp, norm_cast] protected lemma coe_div (r₁ r₂ : ℝ≥0) : ((r₁ / r₂ : ℝ≥0) : ℝ) = r₁ / r₂ := rfl
@[simp, norm_cast] protected lemma coe_bit0 (r : ℝ≥0) : ((bit0 r : ℝ≥0) : ℝ) = bit0 r := rfl
@[simp, norm_cast] protected lemma coe_bit1 (r : ℝ≥0) : ((bit1 r : ℝ≥0) : ℝ) = bit1 r := rfl
@[simp, norm_cast] protected lemma coe_sub {r₁ r₂ : ℝ≥0} (h : r₂ ≤ r₁) :
((r₁ - r₂ : ℝ≥0) : ℝ) = r₁ - r₂ :=
max_eq_left $ le_sub.2 $ by simp [show (r₂ : ℝ) ≤ r₁, from h]
-- TODO: setup semifield!
@[simp] protected lemma coe_eq_zero (r : ℝ≥0) : ↑r = (0 : ℝ) ↔ r = 0 := by norm_cast
lemma coe_ne_zero {r : ℝ≥0} : (r : ℝ) ≠ 0 ↔ r ≠ 0 := by norm_cast
instance : comm_semiring ℝ≥0 :=
{ zero := 0,
add := (+),
one := 1,
mul := (*),
.. nnreal.coe_injective.comm_semiring _ rfl rfl (λ _ _, rfl) (λ _ _, rfl) }
/-- Coercion `ℝ≥0 → ℝ` as a `ring_hom`. -/
def to_real_hom : ℝ≥0 →+* ℝ :=
⟨coe, nnreal.coe_one, nnreal.coe_mul, nnreal.coe_zero, nnreal.coe_add⟩
@[simp] lemma coe_to_real_hom : ⇑to_real_hom = coe := rfl
section actions
/-- A `mul_action` over `ℝ` restricts to a `mul_action` over `ℝ≥0`. -/
instance {M : Type*} [mul_action ℝ M] : mul_action ℝ≥0 M :=
mul_action.comp_hom M to_real_hom.to_monoid_hom
lemma smul_def {M : Type*} [mul_action ℝ M] (c : ℝ≥0) (x : M) :
c • x = (c : ℝ) • x := rfl
instance {M N : Type*} [mul_action ℝ M] [mul_action ℝ N] [has_scalar M N]
[is_scalar_tower ℝ M N] : is_scalar_tower ℝ≥0 M N :=
{ smul_assoc := λ r, (smul_assoc (r : ℝ) : _)}
instance smul_comm_class_left {M N : Type*} [mul_action ℝ N] [has_scalar M N]
[smul_comm_class ℝ M N] : smul_comm_class ℝ≥0 M N :=
{ smul_comm := λ r, (smul_comm (r : ℝ) : _)}
instance smul_comm_class_right {M N : Type*} [mul_action ℝ N] [has_scalar M N]
[smul_comm_class M ℝ N] : smul_comm_class M ℝ≥0 N :=
{ smul_comm := λ m r, (smul_comm m (r : ℝ) : _)}
/-- A `distrib_mul_action` over `ℝ` restricts to a `distrib_mul_action` over `ℝ≥0`. -/
instance {M : Type*} [add_monoid M] [distrib_mul_action ℝ M] : distrib_mul_action ℝ≥0 M :=
distrib_mul_action.comp_hom M to_real_hom.to_monoid_hom
/-- A `module` over `ℝ` restricts to a `module` over `ℝ≥0`. -/
instance {M : Type*} [add_comm_monoid M] [module ℝ M] : module ℝ≥0 M :=
module.comp_hom M to_real_hom
/-- An `algebra` over `ℝ` restricts to an `algebra` over `ℝ≥0`. -/
instance {A : Type*} [semiring A] [algebra ℝ A] : algebra ℝ≥0 A :=
{ smul := (•),
commutes' := λ r x, by simp [algebra.commutes],
smul_def' := λ r x, by simp [←algebra.smul_def (r : ℝ) x, smul_def],
to_ring_hom := ((algebra_map ℝ A).comp (to_real_hom : ℝ≥0 →+* ℝ)) }
-- verify that the above produces instances we might care about
example : algebra ℝ≥0 ℝ := by apply_instance
example : distrib_mul_action (units ℝ≥0) ℝ := by apply_instance
end actions
instance : comm_group_with_zero ℝ≥0 :=
{ zero := 0,
mul := (*),
one := 1,
inv := has_inv.inv,
div := (/),
.. nnreal.coe_injective.comm_group_with_zero _ rfl rfl (λ _ _, rfl) (λ _, rfl) (λ _ _, rfl) }
@[simp, norm_cast] lemma coe_indicator {α} (s : set α) (f : α → ℝ≥0) (a : α) :
((s.indicator f a : ℝ≥0) : ℝ) = s.indicator (λ x, f x) a :=
(to_real_hom : ℝ≥0 →+ ℝ).map_indicator _ _ _
@[simp, norm_cast] lemma coe_pow (r : ℝ≥0) (n : ℕ) : ((r^n : ℝ≥0) : ℝ) = r^n :=
to_real_hom.map_pow r n
@[norm_cast] lemma coe_list_sum (l : list ℝ≥0) :
((l.sum : ℝ≥0) : ℝ) = (l.map coe).sum :=
to_real_hom.map_list_sum l
@[norm_cast] lemma coe_list_prod (l : list ℝ≥0) :
((l.prod : ℝ≥0) : ℝ) = (l.map coe).prod :=
to_real_hom.map_list_prod l
@[norm_cast] lemma coe_multiset_sum (s : multiset ℝ≥0) :
((s.sum : ℝ≥0) : ℝ) = (s.map coe).sum :=
to_real_hom.map_multiset_sum s
@[norm_cast] lemma coe_multiset_prod (s : multiset ℝ≥0) :
((s.prod : ℝ≥0) : ℝ) = (s.map coe).prod :=
to_real_hom.map_multiset_prod s
@[norm_cast] lemma coe_sum {α} {s : finset α} {f : α → ℝ≥0} :
↑(∑ a in s, f a) = ∑ a in s, (f a : ℝ) :=
to_real_hom.map_sum _ _
lemma _root_.real.to_nnreal_sum_of_nonneg {α} {s : finset α} {f : α → ℝ}
(hf : ∀ a, a ∈ s → 0 ≤ f a) :
real.to_nnreal (∑ a in s, f a) = ∑ a in s, real.to_nnreal (f a) :=
begin
rw [←nnreal.coe_eq, nnreal.coe_sum, real.coe_to_nnreal _ (finset.sum_nonneg hf)],
exact finset.sum_congr rfl (λ x hxs, by rw real.coe_to_nnreal _ (hf x hxs)),
end
@[norm_cast] lemma coe_prod {α} {s : finset α} {f : α → ℝ≥0} :
↑(∏ a in s, f a) = ∏ a in s, (f a : ℝ) :=
to_real_hom.map_prod _ _
lemma _root_.real.to_nnreal_prod_of_nonneg {α} {s : finset α} {f : α → ℝ}
(hf : ∀ a, a ∈ s → 0 ≤ f a) :
real.to_nnreal (∏ a in s, f a) = ∏ a in s, real.to_nnreal (f a) :=
begin
rw [←nnreal.coe_eq, nnreal.coe_prod, real.coe_to_nnreal _ (finset.prod_nonneg hf)],
exact finset.prod_congr rfl (λ x hxs, by rw real.coe_to_nnreal _ (hf x hxs)),
end
@[norm_cast] lemma nsmul_coe (r : ℝ≥0) (n : ℕ) : ↑(n • r) = n • (r:ℝ) :=
to_real_hom.to_add_monoid_hom.map_nsmul _ _
@[simp, norm_cast] protected lemma coe_nat_cast (n : ℕ) : (↑(↑n : ℝ≥0) : ℝ) = n :=
to_real_hom.map_nat_cast n
instance : linear_order ℝ≥0 :=
linear_order.lift (coe : ℝ≥0 → ℝ) nnreal.coe_injective
@[simp, norm_cast] protected lemma coe_le_coe {r₁ r₂ : ℝ≥0} : (r₁ : ℝ) ≤ r₂ ↔ r₁ ≤ r₂ := iff.rfl
@[simp, norm_cast] protected lemma coe_lt_coe {r₁ r₂ : ℝ≥0} : (r₁ : ℝ) < r₂ ↔ r₁ < r₂ := iff.rfl
@[simp, norm_cast] protected lemma coe_pos {r : ℝ≥0} : (0 : ℝ) < r ↔ 0 < r := iff.rfl
protected lemma coe_mono : monotone (coe : ℝ≥0 → ℝ) := λ _ _, nnreal.coe_le_coe.2
protected lemma _root_.real.to_nnreal_mono : monotone real.to_nnreal :=
λ x y h, max_le_max h (le_refl 0)
@[simp] lemma _root_.real.to_nnreal_coe {r : ℝ≥0} : real.to_nnreal r = r :=
nnreal.eq $ max_eq_left r.2
@[simp] lemma mk_coe_nat (n : ℕ) : @eq ℝ≥0 (⟨(n : ℝ), n.cast_nonneg⟩ : ℝ≥0) n :=
nnreal.eq (nnreal.coe_nat_cast n).symm
@[simp] lemma to_nnreal_coe_nat (n : ℕ) : real.to_nnreal n = n :=
nnreal.eq $ by simp [real.coe_to_nnreal]
/-- `real.to_nnreal` and `coe : ℝ≥0 → ℝ` form a Galois insertion. -/
protected def gi : galois_insertion real.to_nnreal coe :=
galois_insertion.monotone_intro nnreal.coe_mono real.to_nnreal_mono
real.le_coe_to_nnreal (λ _, real.to_nnreal_coe)
instance : order_bot ℝ≥0 :=
{ bot := ⊥, bot_le := assume ⟨a, h⟩, h, .. nnreal.linear_order }
instance : canonically_linear_ordered_add_monoid ℝ≥0 :=
{ add_le_add_left := assume a b h c,
nnreal.coe_le_coe.mp $ (add_le_add_left (nnreal.coe_le_coe.mpr h) c),
lt_of_add_lt_add_left := assume a b c bc,
nnreal.coe_lt_coe.mp $ lt_of_add_lt_add_left (nnreal.coe_lt_coe.mpr bc),
le_iff_exists_add := assume ⟨a, ha⟩ ⟨b, hb⟩,
iff.intro
(assume h : a ≤ b,
⟨⟨b - a, le_sub_iff_add_le.2 $ (zero_add _).le.trans h⟩,
nnreal.eq $ show b = a + (b - a), from (add_sub_cancel'_right _ _).symm⟩)
(assume ⟨⟨c, hc⟩, eq⟩, eq.symm ▸ show a ≤ a + c, from (le_add_iff_nonneg_right a).2 hc),
..nnreal.comm_semiring,
..nnreal.order_bot,
..nnreal.linear_order }
instance : linear_ordered_add_comm_monoid ℝ≥0 :=
{ .. nnreal.comm_semiring,
.. nnreal.canonically_linear_ordered_add_monoid }
instance : distrib_lattice ℝ≥0 := by apply_instance
instance : semilattice_inf_bot ℝ≥0 :=
{ .. nnreal.order_bot, .. nnreal.distrib_lattice }
instance : semilattice_sup_bot ℝ≥0 :=
{ .. nnreal.order_bot, .. nnreal.distrib_lattice }
instance : linear_ordered_semiring ℝ≥0 :=
{ add_left_cancel := assume a b c h, nnreal.eq $
@add_left_cancel ℝ _ a b c (nnreal.eq_iff.2 h),
le_of_add_le_add_left := assume a b c, @le_of_add_le_add_left ℝ _ _ _ a b c,
mul_lt_mul_of_pos_left := assume a b c, @mul_lt_mul_of_pos_left ℝ _ a b c,
mul_lt_mul_of_pos_right := assume a b c, @mul_lt_mul_of_pos_right ℝ _ a b c,
zero_le_one := @zero_le_one ℝ _,
exists_pair_ne := ⟨0, 1, ne_of_lt (@zero_lt_one ℝ _ _)⟩,
.. nnreal.canonically_linear_ordered_add_monoid,
.. nnreal.comm_semiring, }
instance : linear_ordered_comm_group_with_zero ℝ≥0 :=
{ mul_le_mul_left := assume a b h c, mul_le_mul (le_refl c) h (zero_le a) (zero_le c),
zero_le_one := zero_le 1,
.. nnreal.linear_ordered_semiring,
.. nnreal.comm_group_with_zero }
instance : canonically_ordered_comm_semiring ℝ≥0 :=
{ .. nnreal.canonically_linear_ordered_add_monoid,
.. nnreal.comm_semiring,
.. (show no_zero_divisors ℝ≥0, by apply_instance),
.. nnreal.comm_group_with_zero }
instance : densely_ordered ℝ≥0 :=
⟨assume a b (h : (a : ℝ) < b), let ⟨c, hac, hcb⟩ := exists_between h in
⟨⟨c, le_trans a.property $ le_of_lt $ hac⟩, hac, hcb⟩⟩
instance : no_top_order ℝ≥0 :=
⟨assume a, let ⟨b, hb⟩ := no_top (a:ℝ) in ⟨⟨b, le_trans a.property $ le_of_lt $ hb⟩, hb⟩⟩
lemma bdd_above_coe {s : set ℝ≥0} : bdd_above ((coe : ℝ≥0 → ℝ) '' s) ↔ bdd_above s :=
iff.intro
(assume ⟨b, hb⟩, ⟨real.to_nnreal b, assume ⟨y, hy⟩ hys, show y ≤ max b 0, from
le_max_of_le_left $ hb $ set.mem_image_of_mem _ hys⟩)
(assume ⟨b, hb⟩, ⟨b, assume y ⟨x, hx, eq⟩, eq ▸ hb hx⟩)
lemma bdd_below_coe (s : set ℝ≥0) : bdd_below ((coe : ℝ≥0 → ℝ) '' s) :=
⟨0, assume r ⟨q, _, eq⟩, eq ▸ q.2⟩
instance : has_Sup ℝ≥0 :=
⟨λs, ⟨Sup ((coe : ℝ≥0 → ℝ) '' s),
begin
cases s.eq_empty_or_nonempty with h h,
{ simp [h, set.image_empty, real.Sup_empty] },
rcases h with ⟨⟨b, hb⟩, hbs⟩,
by_cases h' : bdd_above s,
{ exact le_cSup_of_le (bdd_above_coe.2 h') (set.mem_image_of_mem _ hbs) hb },
{ rw [real.Sup_of_not_bdd_above], rwa [bdd_above_coe] }
end⟩⟩
instance : has_Inf ℝ≥0 :=
⟨λs, ⟨Inf ((coe : ℝ≥0 → ℝ) '' s),
begin
cases s.eq_empty_or_nonempty with h h,
{ simp [h, set.image_empty, real.Inf_empty] },
exact le_cInf (h.image _) (assume r ⟨q, _, eq⟩, eq ▸ q.2)
end⟩⟩
lemma coe_Sup (s : set ℝ≥0) : (↑(Sup s) : ℝ) = Sup ((coe : ℝ≥0 → ℝ) '' s) := rfl
lemma coe_Inf (s : set ℝ≥0) : (↑(Inf s) : ℝ) = Inf ((coe : ℝ≥0 → ℝ) '' s) := rfl
instance : conditionally_complete_linear_order_bot ℝ≥0 :=
{ Sup := Sup,
Inf := Inf,
le_cSup := assume s a hs ha, le_cSup (bdd_above_coe.2 hs) (set.mem_image_of_mem _ ha),
cSup_le := assume s a hs h,show Sup ((coe : ℝ≥0 → ℝ) '' s) ≤ a, from
cSup_le (by simp [hs]) $ assume r ⟨b, hb, eq⟩, eq ▸ h hb,
cInf_le := assume s a _ has, cInf_le (bdd_below_coe s) (set.mem_image_of_mem _ has),
le_cInf := assume s a hs h, show (↑a : ℝ) ≤ Inf ((coe : ℝ≥0 → ℝ) '' s), from
le_cInf (by simp [hs]) $ assume r ⟨b, hb, eq⟩, eq ▸ h hb,
cSup_empty := nnreal.eq $ by simp [coe_Sup, real.Sup_empty]; refl,
decidable_le := begin assume x y, apply classical.dec end,
.. nnreal.linear_ordered_semiring, .. lattice_of_linear_order,
.. nnreal.order_bot }
instance : archimedean ℝ≥0 :=
⟨ assume x y pos_y,
let ⟨n, hr⟩ := archimedean.arch (x:ℝ) (pos_y : (0 : ℝ) < y) in
⟨n, show (x:ℝ) ≤ (n • y : ℝ≥0), by simp [*, -nsmul_eq_mul, nsmul_coe]⟩ ⟩
lemma le_of_forall_pos_le_add {a b : ℝ≥0} (h : ∀ε, 0 < ε → a ≤ b + ε) : a ≤ b :=
le_of_forall_le_of_dense $ assume x hxb,
begin
rcases le_iff_exists_add.1 (le_of_lt hxb) with ⟨ε, rfl⟩,
exact h _ ((lt_add_iff_pos_right b).1 hxb)
end
-- TODO: generalize to some ordered add_monoids, based on #6145
lemma le_of_add_le_left {a b c : ℝ≥0} (h : a + b ≤ c) : a ≤ c :=
by { refine le_trans _ h, simp }
lemma le_of_add_le_right {a b c : ℝ≥0} (h : a + b ≤ c) : b ≤ c :=
by { refine le_trans _ h, simp }
lemma lt_iff_exists_rat_btwn (a b : ℝ≥0) :
a < b ↔ (∃q:ℚ, 0 ≤ q ∧ a < real.to_nnreal q ∧ real.to_nnreal q < b) :=
iff.intro
(assume (h : (↑a:ℝ) < (↑b:ℝ)),
let ⟨q, haq, hqb⟩ := exists_rat_btwn h in
have 0 ≤ (q : ℝ), from le_trans a.2 $ le_of_lt haq,
⟨q, rat.cast_nonneg.1 this,
by simp [real.coe_to_nnreal _ this, nnreal.coe_lt_coe.symm, haq, hqb]⟩)
(assume ⟨q, _, haq, hqb⟩, lt_trans haq hqb)
lemma bot_eq_zero : (⊥ : ℝ≥0) = 0 := rfl
lemma mul_sup (a b c : ℝ≥0) : a * (b ⊔ c) = (a * b) ⊔ (a * c) :=
begin
cases le_total b c with h h,
{ simp [sup_eq_max, max_eq_right h, max_eq_right (mul_le_mul_of_nonneg_left h (zero_le a))] },
{ simp [sup_eq_max, max_eq_left h, max_eq_left (mul_le_mul_of_nonneg_left h (zero_le a))] },
end
lemma mul_finset_sup {α} {f : α → ℝ≥0} {s : finset α} (r : ℝ≥0) :
r * s.sup f = s.sup (λa, r * f a) :=
begin
refine s.induction_on _ _,
{ simp [bot_eq_zero] },
{ assume a s has ih, simp [has, ih, mul_sup], }
end
@[simp, norm_cast] lemma coe_max (x y : ℝ≥0) :
((max x y : ℝ≥0) : ℝ) = max (x : ℝ) (y : ℝ) :=
by { delta max, split_ifs; refl }
@[simp, norm_cast] lemma coe_min (x y : ℝ≥0) :
((min x y : ℝ≥0) : ℝ) = min (x : ℝ) (y : ℝ) :=
by { delta min, split_ifs; refl }
@[simp] lemma zero_le_coe {q : ℝ≥0} : 0 ≤ (q : ℝ) := q.2
end nnreal
namespace real
section to_nnreal
@[simp] lemma to_nnreal_zero : real.to_nnreal 0 = 0 :=
by simp [real.to_nnreal]; refl
@[simp] lemma to_nnreal_one : real.to_nnreal 1 = 1 :=
by simp [real.to_nnreal, max_eq_left (zero_le_one : (0 :ℝ) ≤ 1)]; refl
@[simp] lemma to_nnreal_pos {r : ℝ} : 0 < real.to_nnreal r ↔ 0 < r :=
by simp [real.to_nnreal, nnreal.coe_lt_coe.symm, lt_irrefl]
@[simp] lemma to_nnreal_eq_zero {r : ℝ} : real.to_nnreal r = 0 ↔ r ≤ 0 :=
by simpa [-to_nnreal_pos] using (not_iff_not.2 (@to_nnreal_pos r))
lemma to_nnreal_of_nonpos {r : ℝ} : r ≤ 0 → real.to_nnreal r = 0 :=
to_nnreal_eq_zero.2
@[simp] lemma coe_to_nnreal' (r : ℝ) : (real.to_nnreal r : ℝ) = max r 0 := rfl
@[simp] lemma to_nnreal_le_to_nnreal_iff {r p : ℝ} (hp : 0 ≤ p) :
real.to_nnreal r ≤ real.to_nnreal p ↔ r ≤ p :=
by simp [nnreal.coe_le_coe.symm, real.to_nnreal, hp]
@[simp] lemma to_nnreal_lt_to_nnreal_iff' {r p : ℝ} :
real.to_nnreal r < real.to_nnreal p ↔ r < p ∧ 0 < p :=
by simp [nnreal.coe_lt_coe.symm, real.to_nnreal, lt_irrefl]
lemma to_nnreal_lt_to_nnreal_iff {r p : ℝ} (h : 0 < p) :
real.to_nnreal r < real.to_nnreal p ↔ r < p :=
to_nnreal_lt_to_nnreal_iff'.trans (and_iff_left h)
lemma to_nnreal_lt_to_nnreal_iff_of_nonneg {r p : ℝ} (hr : 0 ≤ r) :
real.to_nnreal r < real.to_nnreal p ↔ r < p :=
to_nnreal_lt_to_nnreal_iff'.trans ⟨and.left, λ h, ⟨h, lt_of_le_of_lt hr h⟩⟩
@[simp] lemma to_nnreal_add {r p : ℝ} (hr : 0 ≤ r) (hp : 0 ≤ p) :
real.to_nnreal (r + p) = real.to_nnreal r + real.to_nnreal p :=
nnreal.eq $ by simp [real.to_nnreal, hr, hp, add_nonneg]
lemma to_nnreal_add_to_nnreal {r p : ℝ} (hr : 0 ≤ r) (hp : 0 ≤ p) :
real.to_nnreal r + real.to_nnreal p = real.to_nnreal (r + p) :=
(real.to_nnreal_add hr hp).symm
lemma to_nnreal_le_to_nnreal {r p : ℝ} (h : r ≤ p) :
real.to_nnreal r ≤ real.to_nnreal p :=
real.to_nnreal_mono h
lemma to_nnreal_add_le {r p : ℝ} :
real.to_nnreal (r + p) ≤ real.to_nnreal r + real.to_nnreal p :=
nnreal.coe_le_coe.1 $ max_le (add_le_add (le_max_left _ _) (le_max_left _ _)) nnreal.zero_le_coe
lemma to_nnreal_le_iff_le_coe {r : ℝ} {p : ℝ≥0} : real.to_nnreal r ≤ p ↔ r ≤ ↑p :=
nnreal.gi.gc r p
lemma le_to_nnreal_iff_coe_le {r : ℝ≥0} {p : ℝ} (hp : 0 ≤ p) : r ≤ real.to_nnreal p ↔ ↑r ≤ p :=
by rw [← nnreal.coe_le_coe, real.coe_to_nnreal p hp]
lemma le_to_nnreal_iff_coe_le' {r : ℝ≥0} {p : ℝ} (hr : 0 < r) : r ≤ real.to_nnreal p ↔ ↑r ≤ p :=
(le_or_lt 0 p).elim le_to_nnreal_iff_coe_le $ λ hp,
by simp only [(hp.trans_le r.coe_nonneg).not_le, to_nnreal_eq_zero.2 hp.le, hr.not_le]
lemma to_nnreal_lt_iff_lt_coe {r : ℝ} {p : ℝ≥0} (ha : 0 ≤ r) : real.to_nnreal r < p ↔ r < ↑p :=
by rw [← nnreal.coe_lt_coe, real.coe_to_nnreal r ha]
lemma lt_to_nnreal_iff_coe_lt {r : ℝ≥0} {p : ℝ} : r < real.to_nnreal p ↔ ↑r < p :=
begin
cases le_total 0 p,
{ rw [← nnreal.coe_lt_coe, real.coe_to_nnreal p h] },
{ rw [to_nnreal_eq_zero.2 h], split,
{ intro, have := not_lt_of_le (zero_le r), contradiction },
{ intro rp, have : ¬(p ≤ 0) := not_le_of_lt (lt_of_le_of_lt (nnreal.coe_nonneg _) rp),
contradiction } }
end
@[simp] lemma to_nnreal_bit0 {r : ℝ} (hr : 0 ≤ r) :
real.to_nnreal (bit0 r) = bit0 (real.to_nnreal r) :=
real.to_nnreal_add hr hr
@[simp] lemma to_nnreal_bit1 {r : ℝ} (hr : 0 ≤ r) :
real.to_nnreal (bit1 r) = bit1 (real.to_nnreal r) :=
(real.to_nnreal_add (by simp [hr]) zero_le_one).trans (by simp [to_nnreal_one, bit1, hr])
end to_nnreal
end real
open real
namespace nnreal
section mul
lemma mul_eq_mul_left {a b c : ℝ≥0} (h : a ≠ 0) : (a * b = a * c ↔ b = c) :=
begin
rw [← nnreal.eq_iff, ← nnreal.eq_iff, nnreal.coe_mul, nnreal.coe_mul], split,
{ exact mul_left_cancel' (mt (@nnreal.eq_iff a 0).1 h) },
{ assume h, rw [h] }
end
lemma _root_.real.to_nnreal_mul {p q : ℝ} (hp : 0 ≤ p) :
real.to_nnreal (p * q) = real.to_nnreal p * real.to_nnreal q :=
begin
cases le_total 0 q with hq hq,
{ apply nnreal.eq,
simp [real.to_nnreal, hp, hq, max_eq_left, mul_nonneg] },
{ have hpq := mul_nonpos_of_nonneg_of_nonpos hp hq,
rw [to_nnreal_eq_zero.2 hq, to_nnreal_eq_zero.2 hpq, mul_zero] }
end
end mul
section pow
lemma pow_mono_decr_exp {a : ℝ≥0} (m n : ℕ) (mn : m ≤ n) (a1 : a ≤ 1) :
a ^ n ≤ a ^ m :=
begin
rcases le_iff_exists_add.mp mn with ⟨k, rfl⟩,
rw [← mul_one (a ^ m), pow_add],
refine mul_le_mul rfl.le (pow_le_one _ (zero_le a) a1) _ _;
exact pow_nonneg (zero_le _) _,
end
end pow
section sub
lemma sub_def {r p : ℝ≥0} : r - p = real.to_nnreal (r - p) := rfl
lemma sub_eq_zero {r p : ℝ≥0} (h : r ≤ p) : r - p = 0 :=
nnreal.eq $ max_eq_right $ sub_le_iff_le_add.2 $ by simpa [nnreal.coe_le_coe] using h
@[simp] lemma sub_self {r : ℝ≥0} : r - r = 0 := sub_eq_zero $ le_refl r
@[simp] lemma sub_zero {r : ℝ≥0} : r - 0 = r :=
by rw [sub_def, nnreal.coe_zero, sub_zero, real.to_nnreal_coe]
lemma sub_pos {r p : ℝ≥0} : 0 < r - p ↔ p < r :=
to_nnreal_pos.trans $ sub_pos.trans $ nnreal.coe_lt_coe
protected lemma sub_lt_self {r p : ℝ≥0} : 0 < r → 0 < p → r - p < r :=
assume hr hp,
begin
cases le_total r p,
{ rwa [sub_eq_zero h] },
{ rw [← nnreal.coe_lt_coe, nnreal.coe_sub h], exact sub_lt_self _ hp }
end
@[simp] lemma sub_le_iff_le_add {r p q : ℝ≥0} : r - p ≤ q ↔ r ≤ q + p :=
match le_total p r with
| or.inl h := by rw [← nnreal.coe_le_coe, ← nnreal.coe_le_coe, nnreal.coe_sub h, nnreal.coe_add,
sub_le_iff_le_add]
| or.inr h :=
have r ≤ p + q, from le_add_right h,
by simpa [nnreal.coe_le_coe, nnreal.coe_le_coe, sub_eq_zero h, add_comm]
end
@[simp] lemma sub_le_self {r p : ℝ≥0} : r - p ≤ r :=
sub_le_iff_le_add.2 $ le_add_right $ le_refl r
lemma add_sub_cancel {r p : ℝ≥0} : (p + r) - r = p :=
nnreal.eq $ by rw [nnreal.coe_sub, nnreal.coe_add, add_sub_cancel]; exact le_add_self
lemma add_sub_cancel' {r p : ℝ≥0} : (r + p) - r = p :=
by rw [add_comm, add_sub_cancel]
lemma sub_add_eq_max {r p : ℝ≥0} : (r - p) + p = max r p :=
nnreal.eq $ by rw [sub_def, nnreal.coe_add, coe_max, real.to_nnreal, coe_mk,
← max_add_add_right, zero_add, sub_add_cancel]
lemma add_sub_eq_max {r p : ℝ≥0} : p + (r - p) = max p r :=
by rw [add_comm, sub_add_eq_max, max_comm]
@[simp] lemma sub_add_cancel_of_le {a b : ℝ≥0} (h : b ≤ a) : (a - b) + b = a :=
by rw [sub_add_eq_max, max_eq_left h]
lemma sub_sub_cancel_of_le {r p : ℝ≥0} (h : r ≤ p) : p - (p - r) = r :=
by rw [nnreal.sub_def, nnreal.sub_def, real.coe_to_nnreal _ $ sub_nonneg.2 h,
sub_sub_cancel, real.to_nnreal_coe]
lemma lt_sub_iff_add_lt {p q r : ℝ≥0} : p < q - r ↔ p + r < q :=
begin
split,
{ assume H,
have : (((q - r) : ℝ≥0) : ℝ) = (q : ℝ) - (r : ℝ) :=
nnreal.coe_sub (le_of_lt (sub_pos.1 (lt_of_le_of_lt (zero_le _) H))),
rwa [← nnreal.coe_lt_coe, this, lt_sub_iff_add_lt, ← nnreal.coe_add] at H },
{ assume H,
have : r ≤ q := le_trans (le_add_self) (le_of_lt H),
rwa [← nnreal.coe_lt_coe, nnreal.coe_sub this, lt_sub_iff_add_lt, ← nnreal.coe_add] }
end
lemma sub_lt_iff_lt_add {a b c : ℝ≥0} (h : b ≤ a) : a - b < c ↔ a < b + c :=
by simp only [←nnreal.coe_lt_coe, nnreal.coe_sub h, nnreal.coe_add, sub_lt_iff_lt_add']
lemma sub_eq_iff_eq_add {a b c : ℝ≥0} (h : b ≤ a) : a - b = c ↔ a = c + b :=
by rw [←nnreal.eq_iff, nnreal.coe_sub h, ←nnreal.eq_iff, nnreal.coe_add, sub_eq_iff_eq_add]
end sub
section inv
lemma sum_div {ι} (s : finset ι) (f : ι → ℝ≥0) (b : ℝ≥0) :
(∑ i in s, f i) / b = ∑ i in s, (f i / b) :=
by simp only [div_eq_mul_inv, finset.sum_mul]
@[simp] lemma inv_pos {r : ℝ≥0} : 0 < r⁻¹ ↔ 0 < r :=
by simp [pos_iff_ne_zero]
lemma div_pos {r p : ℝ≥0} (hr : 0 < r) (hp : 0 < p) : 0 < r / p :=
by simpa only [div_eq_mul_inv] using mul_pos hr (inv_pos.2 hp)
protected lemma mul_inv {r p : ℝ≥0} : (r * p)⁻¹ = p⁻¹ * r⁻¹ := nnreal.eq $ mul_inv_rev' _ _
lemma div_self_le (r : ℝ≥0) : r / r ≤ 1 :=
if h : r = 0 then by simp [h] else by rw [div_self h]
@[simp] lemma inv_le {r p : ℝ≥0} (h : r ≠ 0) : r⁻¹ ≤ p ↔ 1 ≤ r * p :=
by rw [← mul_le_mul_left (pos_iff_ne_zero.2 h), mul_inv_cancel h]
lemma inv_le_of_le_mul {r p : ℝ≥0} (h : 1 ≤ r * p) : r⁻¹ ≤ p :=
by by_cases r = 0; simp [*, inv_le]
@[simp] lemma le_inv_iff_mul_le {r p : ℝ≥0} (h : p ≠ 0) : (r ≤ p⁻¹ ↔ r * p ≤ 1) :=
by rw [← mul_le_mul_left (pos_iff_ne_zero.2 h), mul_inv_cancel h, mul_comm]
@[simp] lemma lt_inv_iff_mul_lt {r p : ℝ≥0} (h : p ≠ 0) : (r < p⁻¹ ↔ r * p < 1) :=
by rw [← mul_lt_mul_left (pos_iff_ne_zero.2 h), mul_inv_cancel h, mul_comm]
lemma mul_le_iff_le_inv {a b r : ℝ≥0} (hr : r ≠ 0) : r * a ≤ b ↔ a ≤ r⁻¹ * b :=
have 0 < r, from lt_of_le_of_ne (zero_le r) hr.symm,
by rw [← @mul_le_mul_left _ _ a _ r this, ← mul_assoc, mul_inv_cancel hr, one_mul]
lemma le_div_iff_mul_le {a b r : ℝ≥0} (hr : r ≠ 0) : a ≤ b / r ↔ a * r ≤ b :=
by rw [div_eq_inv_mul, ← mul_le_iff_le_inv hr, mul_comm]
lemma div_le_iff {a b r : ℝ≥0} (hr : r ≠ 0) : a / r ≤ b ↔ a ≤ b * r :=
@div_le_iff ℝ _ a r b $ pos_iff_ne_zero.2 hr
lemma div_le_iff' {a b r : ℝ≥0} (hr : r ≠ 0) : a / r ≤ b ↔ a ≤ r * b :=
@div_le_iff' ℝ _ a r b $ pos_iff_ne_zero.2 hr
lemma le_div_iff {a b r : ℝ≥0} (hr : r ≠ 0) : a ≤ b / r ↔ a * r ≤ b :=
@le_div_iff ℝ _ a b r $ pos_iff_ne_zero.2 hr
lemma le_div_iff' {a b r : ℝ≥0} (hr : r ≠ 0) : a ≤ b / r ↔ r * a ≤ b :=
@le_div_iff' ℝ _ a b r $ pos_iff_ne_zero.2 hr
lemma div_lt_iff {a b r : ℝ≥0} (hr : r ≠ 0) : a / r < b ↔ a < b * r :=
lt_iff_lt_of_le_iff_le (le_div_iff hr)
lemma div_lt_iff' {a b r : ℝ≥0} (hr : r ≠ 0) : a / r < b ↔ a < r * b :=
lt_iff_lt_of_le_iff_le (le_div_iff' hr)
lemma lt_div_iff {a b r : ℝ≥0} (hr : r ≠ 0) : a < b / r ↔ a * r < b :=
lt_iff_lt_of_le_iff_le (div_le_iff hr)
lemma lt_div_iff' {a b r : ℝ≥0} (hr : r ≠ 0) : a < b / r ↔ r * a < b :=
lt_iff_lt_of_le_iff_le (div_le_iff' hr)
lemma mul_lt_of_lt_div {a b r : ℝ≥0} (h : a < b / r) : a * r < b :=
begin
refine (lt_div_iff $ λ hr, false.elim _).1 h,
subst r,
simpa using h
end
lemma div_le_div_left_of_le {a b c : ℝ≥0} (b0 : 0 < b) (c0 : 0 < c) (cb : c ≤ b) :
a / b ≤ a / c :=
begin
by_cases a0 : a = 0,
{ rw [a0, zero_div, zero_div] },
{ cases a with a ha,
replace a0 : 0 < a := lt_of_le_of_ne ha (ne_of_lt (zero_lt_iff.mpr a0)),
exact (div_le_div_left a0 b0 c0).mpr cb }
end
lemma div_le_div_left {a b c : ℝ≥0} (a0 : 0 < a) (b0 : 0 < b) (c0 : 0 < c) :
a / b ≤ a / c ↔ c ≤ b :=
by rw [nnreal.div_le_iff b0.ne.symm, div_mul_eq_mul_div, nnreal.le_div_iff_mul_le c0.ne.symm,
mul_le_mul_left a0]
lemma le_of_forall_lt_one_mul_le {x y : ℝ≥0} (h : ∀a<1, a * x ≤ y) : x ≤ y :=
le_of_forall_ge_of_dense $ assume a ha,
have hx : x ≠ 0 := pos_iff_ne_zero.1 (lt_of_le_of_lt (zero_le _) ha),
have hx' : x⁻¹ ≠ 0, by rwa [(≠), inv_eq_zero],
have a * x⁻¹ < 1, by rwa [← lt_inv_iff_mul_lt hx', inv_inv'],
have (a * x⁻¹) * x ≤ y, from h _ this,
by rwa [mul_assoc, inv_mul_cancel hx, mul_one] at this
lemma div_add_div_same (a b c : ℝ≥0) : a / c + b / c = (a + b) / c :=
eq.symm $ right_distrib a b (c⁻¹)
lemma half_pos {a : ℝ≥0} (h : 0 < a) : 0 < a / 2 := div_pos h zero_lt_two
lemma add_halves (a : ℝ≥0) : a / 2 + a / 2 = a := nnreal.eq (add_halves a)
lemma half_lt_self {a : ℝ≥0} (h : a ≠ 0) : a / 2 < a :=
by rw [← nnreal.coe_lt_coe, nnreal.coe_div]; exact
half_lt_self (bot_lt_iff_ne_bot.2 h)
lemma two_inv_lt_one : (2⁻¹:ℝ≥0) < 1 :=
by simpa using half_lt_self zero_ne_one.symm
lemma div_lt_one_of_lt {a b : ℝ≥0} (h : a < b) : a / b < 1 :=
begin
rwa [div_lt_iff, one_mul],
exact ne_of_gt (lt_of_le_of_lt (zero_le _) h)
end
@[field_simps] lemma div_add_div (a : ℝ≥0) {b : ℝ≥0} (c : ℝ≥0) {d : ℝ≥0}
(hb : b ≠ 0) (hd : d ≠ 0) : a / b + c / d = (a * d + b * c) / (b * d) :=
begin
rw ← nnreal.eq_iff,
simp only [nnreal.coe_add, nnreal.coe_div, nnreal.coe_mul],
exact div_add_div _ _ (coe_ne_zero.2 hb) (coe_ne_zero.2 hd)
end
@[field_simps] lemma add_div' (a b c : ℝ≥0) (hc : c ≠ 0) :
b + a / c = (b * c + a) / c :=
by simpa using div_add_div b a one_ne_zero hc
@[field_simps] lemma div_add' (a b c : ℝ≥0) (hc : c ≠ 0) :
a / c + b = (a + b * c) / c :=
by rwa [add_comm, add_div', add_comm]
lemma _root_.real.to_nnreal_inv {x : ℝ} :
real.to_nnreal x⁻¹ = (real.to_nnreal x)⁻¹ :=
begin
by_cases hx : 0 ≤ x,
{ nth_rewrite 0 ← real.coe_to_nnreal x hx,
rw [←nnreal.coe_inv, real.to_nnreal_coe], },
{ have hx' := le_of_not_ge hx,
rw [to_nnreal_eq_zero.mpr hx', inv_zero, to_nnreal_eq_zero.mpr (inv_nonpos.mpr hx')], },
end
lemma _root_.real.to_nnreal_div {x y : ℝ} (hx : 0 ≤ x) :
real.to_nnreal (x / y) = real.to_nnreal x / real.to_nnreal y :=
by rw [div_eq_mul_inv, div_eq_mul_inv, ← real.to_nnreal_inv, ← real.to_nnreal_mul hx]
lemma _root_.real.to_nnreal_div' {x y : ℝ} (hy : 0 ≤ y) :
real.to_nnreal (x / y) = real.to_nnreal x / real.to_nnreal y :=
by rw [div_eq_inv_mul, div_eq_inv_mul, real.to_nnreal_mul (inv_nonneg.2 hy), real.to_nnreal_inv]
end inv
@[simp] lemma abs_eq (x : ℝ≥0) : abs (x : ℝ) = x :=
abs_of_nonneg x.property
end nnreal
/-- The absolute value on `ℝ` as a map to `ℝ≥0`. -/
@[pp_nodot] def real.nnabs (x : ℝ) : ℝ≥0 := ⟨abs x, abs_nonneg x⟩
@[norm_cast, simp] lemma nnreal.coe_nnabs (x : ℝ) : (real.nnabs x : ℝ) = abs x :=
by simp [real.nnabs]
@[simp]
lemma real.nnabs_of_nonneg {x : ℝ} (h : 0 ≤ x) : real.nnabs x = real.to_nnreal x :=
by { ext, simp [real.coe_to_nnreal x h, abs_of_nonneg h] }
lemma real.coe_to_nnreal_le (x : ℝ) : (real.to_nnreal x : ℝ) ≤ abs x :=
begin
by_cases h : 0 ≤ x,
{ simp [h, real.coe_to_nnreal x h, le_abs_self] },
{ simp [real.to_nnreal, h, le_abs_self, abs_nonneg] }
end
lemma cast_nat_abs_eq_nnabs_cast (n : ℤ) :
(n.nat_abs : ℝ≥0) = real.nnabs n :=
by { ext, rw [nnreal.coe_nat_cast, int.cast_nat_abs, nnreal.coe_nnabs] }
|
b44861deb226a7792dd955563ebf60949b91ccfb | 57c233acf9386e610d99ed20ef139c5f97504ba3 | /src/data/equiv/ring.lean | 3fd2136a9c45e93933297e0c6570cc658219821d | [
"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 | 16,091 | lean | /-
Copyright (c) 2018 Johannes Hölzl. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Johannes Hölzl, Callum Sutton, Yury Kudryashov
-/
import data.equiv.mul_add
import algebra.field.basic
import algebra.ring.opposite
import algebra.big_operators.basic
/-!
# (Semi)ring equivs
In this file we define extension of `equiv` called `ring_equiv`, which is a datatype representing an
isomorphism of `semiring`s, `ring`s, `division_ring`s, or `field`s. We also introduce the
corresponding group of automorphisms `ring_aut`.
## Notations
* ``infix ` ≃+* `:25 := ring_equiv``
The extended equiv have coercions to functions, and the coercion is the canonical notation when
treating the isomorphism as maps.
## Implementation notes
The fields for `ring_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, ring_equiv, mul_aut, add_aut, ring_aut
-/
open_locale big_operators
variables {R : Type*} {S : Type*} {S' : Type*}
set_option old_structure_cmd true
/-- An equivalence between two (semi)rings that preserves the algebraic structure. -/
structure ring_equiv (R S : Type*) [has_mul R] [has_add R] [has_mul S] [has_add S]
extends R ≃ S, R ≃* S, R ≃+ S
infix ` ≃+* `:25 := ring_equiv
/-- The "plain" equivalence of types underlying an equivalence of (semi)rings. -/
add_decl_doc ring_equiv.to_equiv
/-- The equivalence of additive monoids underlying an equivalence of (semi)rings. -/
add_decl_doc ring_equiv.to_add_equiv
/-- The equivalence of multiplicative monoids underlying an equivalence of (semi)rings. -/
add_decl_doc ring_equiv.to_mul_equiv
namespace ring_equiv
section basic
variables [has_mul R] [has_add R] [has_mul S] [has_add S] [has_mul S'] [has_add S']
instance : has_coe_to_fun (R ≃+* S) (λ _, R → S) := ⟨ring_equiv.to_fun⟩
@[simp] lemma to_fun_eq_coe (f : R ≃+* S) : f.to_fun = f := rfl
/-- A ring isomorphism preserves multiplication. -/
@[simp] lemma map_mul (e : R ≃+* S) (x y : R) : e (x * y) = e x * e y := e.map_mul' x y
/-- A ring isomorphism preserves addition. -/
@[simp] lemma map_add (e : R ≃+* S) (x y : R) : e (x + y) = e x + e y := e.map_add' x y
/-- Two ring isomorphisms agree if they are defined by the
same underlying function. -/
@[ext] lemma ext {f g : R ≃+* S} (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
@[simp] theorem coe_mk (e e' h₁ h₂ h₃ h₄) :
⇑(⟨e, e', h₁, h₂, h₃, h₄⟩ : R ≃+* S) = e := rfl
@[simp] theorem mk_coe (e : R ≃+* S) (e' h₁ h₂ h₃ h₄) :
(⟨e, e', h₁, h₂, h₃, h₄⟩ : R ≃+* S) = e := ext $ λ _, rfl
protected lemma congr_arg {f : R ≃+* S} : Π {x x' : R}, x = x' → f x = f x'
| _ _ rfl := rfl
protected lemma congr_fun {f g : R ≃+* S} (h : f = g) (x : R) : f x = g x := h ▸ rfl
lemma ext_iff {f g : R ≃+* S} : f = g ↔ ∀ x, f x = g x :=
⟨λ h x, h ▸ rfl, ext⟩
instance has_coe_to_mul_equiv : has_coe (R ≃+* S) (R ≃* S) := ⟨ring_equiv.to_mul_equiv⟩
instance has_coe_to_add_equiv : has_coe (R ≃+* S) (R ≃+ S) := ⟨ring_equiv.to_add_equiv⟩
@[simp] lemma to_add_equiv_eq_coe (f : R ≃+* S) : f.to_add_equiv = ↑f := rfl
@[simp] lemma to_mul_equiv_eq_coe (f : R ≃+* S) : f.to_mul_equiv = ↑f := rfl
@[simp, norm_cast] lemma coe_to_mul_equiv (f : R ≃+* S) : ⇑(f : R ≃* S) = f := rfl
@[simp, norm_cast] lemma coe_to_add_equiv (f : R ≃+* S) : ⇑(f : R ≃+ S) = f := rfl
/-- The `ring_equiv` between two semirings with a unique element. -/
def ring_equiv_of_unique_of_unique {M N}
[unique M] [unique N] [has_add M] [has_mul M] [has_add N] [has_mul N] : M ≃+* N :=
{ ..add_equiv.add_equiv_of_unique_of_unique,
..mul_equiv.mul_equiv_of_unique_of_unique}
instance {M N} [unique M] [unique N] [has_add M] [has_mul M] [has_add N] [has_mul N] :
unique (M ≃+* N) :=
{ default := ring_equiv_of_unique_of_unique,
uniq := λ _, ext $ λ x, subsingleton.elim _ _ }
variable (R)
/-- The identity map is a ring isomorphism. -/
@[refl] protected def refl : R ≃+* R := { .. mul_equiv.refl R, .. add_equiv.refl R }
@[simp] lemma refl_apply (x : R) : ring_equiv.refl R x = x := rfl
@[simp] lemma coe_add_equiv_refl : (ring_equiv.refl R : R ≃+ R) = add_equiv.refl R := rfl
@[simp] lemma coe_mul_equiv_refl : (ring_equiv.refl R : R ≃* R) = mul_equiv.refl R := rfl
instance : inhabited (R ≃+* R) := ⟨ring_equiv.refl R⟩
variables {R}
/-- The inverse of a ring isomorphism is a ring isomorphism. -/
@[symm] protected def symm (e : R ≃+* S) : S ≃+* R :=
{ .. e.to_mul_equiv.symm, .. e.to_add_equiv.symm }
/-- See Note [custom simps projection] -/
def simps.symm_apply (e : R ≃+* S) : S → R := e.symm
initialize_simps_projections ring_equiv (to_fun → apply, inv_fun → symm_apply)
@[simp] lemma inv_fun_eq_symm (f : R ≃+* S) : f.inv_fun = f.symm := rfl
@[simp] lemma symm_symm (e : R ≃+* S) : e.symm.symm = e := ext $ λ x, rfl
lemma symm_bijective : function.bijective (ring_equiv.symm : (R ≃+* S) → (S ≃+* R)) :=
equiv.bijective ⟨ring_equiv.symm, ring_equiv.symm, symm_symm, symm_symm⟩
@[simp] lemma mk_coe' (e : R ≃+* S) (f h₁ h₂ h₃ h₄) :
(ring_equiv.mk f ⇑e h₁ h₂ h₃ h₄ : S ≃+* R) = e.symm :=
symm_bijective.injective $ ext $ λ x, rfl
@[simp] lemma symm_mk (f : R → S) (g h₁ h₂ h₃ h₄) :
(mk f g h₁ h₂ h₃ h₄).symm =
{ to_fun := g, inv_fun := f, ..(mk f g h₁ h₂ h₃ h₄).symm} := rfl
/-- Transitivity of `ring_equiv`. -/
@[trans] protected def trans (e₁ : R ≃+* S) (e₂ : S ≃+* S') : R ≃+* S' :=
{ .. (e₁.to_mul_equiv.trans e₂.to_mul_equiv), .. (e₁.to_add_equiv.trans e₂.to_add_equiv) }
@[simp] lemma trans_apply (e₁ : R ≃+* S) (e₂ : S ≃+* S') (a : R) :
e₁.trans e₂ a = e₂ (e₁ a) := rfl
protected lemma bijective (e : R ≃+* S) : function.bijective e := e.to_equiv.bijective
protected lemma injective (e : R ≃+* S) : function.injective e := e.to_equiv.injective
protected lemma surjective (e : R ≃+* S) : function.surjective e := e.to_equiv.surjective
@[simp] lemma apply_symm_apply (e : R ≃+* S) : ∀ x, e (e.symm x) = x := e.to_equiv.apply_symm_apply
@[simp] lemma symm_apply_apply (e : R ≃+* S) : ∀ x, e.symm (e x) = x := e.to_equiv.symm_apply_apply
lemma image_eq_preimage (e : R ≃+* S) (s : set R) : e '' s = e.symm ⁻¹' s :=
e.to_equiv.image_eq_preimage s
end basic
section opposite
open mul_opposite
/-- A ring iso `α ≃+* β` can equivalently be viewed as a ring iso `αᵐᵒᵖ ≃+* βᵐᵒᵖ`. -/
@[simps]
protected def op {α β} [has_add α] [has_mul α] [has_add β] [has_mul β] :
(α ≃+* β) ≃ (αᵐᵒᵖ ≃+* βᵐᵒᵖ) :=
{ to_fun := λ f, { ..f.to_add_equiv.mul_op, ..f.to_mul_equiv.op},
inv_fun := λ f, { ..add_equiv.mul_op.symm f.to_add_equiv, ..mul_equiv.op.symm f.to_mul_equiv },
left_inv := λ f, by { ext, refl },
right_inv := λ f, by { ext, refl } }
/-- The 'unopposite' of a ring iso `αᵐᵒᵖ ≃+* βᵐᵒᵖ`. Inverse to `ring_equiv.op`. -/
@[simp] protected def unop {α β} [has_add α] [has_mul α] [has_add β] [has_mul β] :
(αᵐᵒᵖ ≃+* βᵐᵒᵖ) ≃ (α ≃+* β) := ring_equiv.op.symm
section comm_semiring
variables (R) [comm_semiring R]
/-- A commutative ring is isomorphic to its opposite. -/
def to_opposite : R ≃+* Rᵐᵒᵖ :=
{ map_add' := λ x y, rfl,
map_mul' := λ x y, mul_comm (op y) (op x),
.. mul_opposite.op_equiv }
@[simp]
lemma to_opposite_apply (r : R) : to_opposite R r = op r := rfl
@[simp]
lemma to_opposite_symm_apply (r : Rᵐᵒᵖ) : (to_opposite R).symm r = unop r := rfl
end comm_semiring
end opposite
section non_unital_semiring
variables [non_unital_non_assoc_semiring R] [non_unital_non_assoc_semiring S]
(f : R ≃+* S) (x y : R)
/-- A ring isomorphism sends zero to zero. -/
@[simp] lemma map_zero : f 0 = 0 := (f : R ≃+ S).map_zero
variable {x}
@[simp] lemma map_eq_zero_iff : f x = 0 ↔ x = 0 := (f : R ≃+ S).map_eq_zero_iff
lemma map_ne_zero_iff : f x ≠ 0 ↔ x ≠ 0 := (f : R ≃+ S).map_ne_zero_iff
end non_unital_semiring
section semiring
variables [non_assoc_semiring R] [non_assoc_semiring S] (f : R ≃+* S) (x y : R)
/-- A ring isomorphism sends one to one. -/
@[simp] lemma map_one : f 1 = 1 := (f : R ≃* S).map_one
variable {x}
@[simp] lemma map_eq_one_iff : f x = 1 ↔ x = 1 := (f : R ≃* S).map_eq_one_iff
lemma map_ne_one_iff : f x ≠ 1 ↔ x ≠ 1 := (f : R ≃* S).map_ne_one_iff
/-- Produce a ring isomorphism from a bijective ring homomorphism. -/
noncomputable def of_bijective (f : R →+* S) (hf : function.bijective f) : R ≃+* S :=
{ .. equiv.of_bijective f hf, .. f }
@[simp] lemma coe_of_bijective (f : R →+* S) (hf : function.bijective f) :
(of_bijective f hf : R → S) = f := rfl
lemma of_bijective_apply (f : R →+* S) (hf : function.bijective f) (x : R) :
of_bijective f hf x = f x := rfl
end semiring
section
variables [ring R] [ring S] (f : R ≃+* S) (x y : R)
@[simp] lemma map_neg : f (-x) = -f x := (f : R ≃+ S).map_neg x
@[simp] lemma map_sub : f (x - y) = f x - f y := (f : R ≃+ S).map_sub x y
@[simp] lemma map_neg_one : f (-1) = -1 := f.map_one ▸ f.map_neg 1
end
section semiring_hom
variables [non_assoc_semiring R] [non_assoc_semiring S] [non_assoc_semiring S']
/-- Reinterpret a ring equivalence as a ring homomorphism. -/
def to_ring_hom (e : R ≃+* S) : R →+* S :=
{ .. e.to_mul_equiv.to_monoid_hom, .. e.to_add_equiv.to_add_monoid_hom }
lemma to_ring_hom_injective : function.injective (to_ring_hom : (R ≃+* S) → R →+* S) :=
λ f g h, ring_equiv.ext (ring_hom.ext_iff.1 h)
instance has_coe_to_ring_hom : has_coe (R ≃+* S) (R →+* S) := ⟨ring_equiv.to_ring_hom⟩
lemma to_ring_hom_eq_coe (f : R ≃+* S) : f.to_ring_hom = ↑f := rfl
@[simp, norm_cast] lemma coe_to_ring_hom (f : R ≃+* S) : ⇑(f : R →+* S) = f := rfl
lemma coe_ring_hom_inj_iff {R S : Type*} [non_assoc_semiring R] [non_assoc_semiring S]
(f g : R ≃+* S) :
f = g ↔ (f : R →+* S) = g :=
⟨congr_arg _, λ h, ext $ ring_hom.ext_iff.mp h⟩
/-- Reinterpret a ring equivalence as a monoid homomorphism. -/
abbreviation to_monoid_hom (e : R ≃+* S) : R →* S := e.to_ring_hom.to_monoid_hom
/-- Reinterpret a ring equivalence as an `add_monoid` homomorphism. -/
abbreviation to_add_monoid_hom (e : R ≃+* S) : R →+ S := e.to_ring_hom.to_add_monoid_hom
/-- The two paths coercion can take to an `add_monoid_hom` are equivalent -/
lemma to_add_monoid_hom_commutes (f : R ≃+* S) :
(f : R →+* S).to_add_monoid_hom = (f : R ≃+ S).to_add_monoid_hom :=
rfl
/-- The two paths coercion can take to an `monoid_hom` are equivalent -/
lemma to_monoid_hom_commutes (f : R ≃+* S) :
(f : R →+* S).to_monoid_hom = (f : R ≃* S).to_monoid_hom :=
rfl
/-- The two paths coercion can take to an `equiv` are equivalent -/
lemma to_equiv_commutes (f : R ≃+* S) :
(f : R ≃+ S).to_equiv = (f : R ≃* S).to_equiv :=
rfl
@[simp]
lemma to_ring_hom_refl : (ring_equiv.refl R).to_ring_hom = ring_hom.id R := rfl
@[simp]
lemma to_monoid_hom_refl : (ring_equiv.refl R).to_monoid_hom = monoid_hom.id R := rfl
@[simp]
lemma to_add_monoid_hom_refl : (ring_equiv.refl R).to_add_monoid_hom = add_monoid_hom.id R := rfl
@[simp]
lemma to_ring_hom_apply_symm_to_ring_hom_apply (e : R ≃+* S) :
∀ (y : S), e.to_ring_hom (e.symm.to_ring_hom y) = y :=
e.to_equiv.apply_symm_apply
@[simp]
lemma symm_to_ring_hom_apply_to_ring_hom_apply (e : R ≃+* S) :
∀ (x : R), e.symm.to_ring_hom (e.to_ring_hom x) = x :=
equiv.symm_apply_apply (e.to_equiv)
@[simp]
lemma to_ring_hom_trans (e₁ : R ≃+* S) (e₂ : S ≃+* S') :
(e₁.trans e₂).to_ring_hom = e₂.to_ring_hom.comp e₁.to_ring_hom := rfl
@[simp]
lemma to_ring_hom_comp_symm_to_ring_hom (e : R ≃+* S) :
e.to_ring_hom.comp e.symm.to_ring_hom = ring_hom.id _ :=
by { ext, simp }
@[simp]
lemma symm_to_ring_hom_comp_to_ring_hom (e : R ≃+* S) :
e.symm.to_ring_hom.comp e.to_ring_hom = ring_hom.id _ :=
by { ext, simp }
/--
Construct an equivalence of rings from homomorphisms in both directions, which are inverses.
-/
def of_hom_inv (hom : R →+* S) (inv : S →+* R)
(hom_inv_id : inv.comp hom = ring_hom.id R) (inv_hom_id : hom.comp inv = ring_hom.id S) :
R ≃+* S :=
{ inv_fun := inv,
left_inv := λ x, ring_hom.congr_fun hom_inv_id x,
right_inv := λ x, ring_hom.congr_fun inv_hom_id x,
..hom }
@[simp]
lemma of_hom_inv_apply (hom : R →+* S) (inv : S →+* R) (hom_inv_id inv_hom_id) (r : R) :
(of_hom_inv hom inv hom_inv_id inv_hom_id) r = hom r := rfl
@[simp]
lemma of_hom_inv_symm_apply (hom : R →+* S) (inv : S →+* R) (hom_inv_id inv_hom_id) (s : S) :
(of_hom_inv hom inv hom_inv_id inv_hom_id).symm s = inv s := rfl
end semiring_hom
section big_operators
lemma map_list_prod [semiring R] [semiring S] (f : R ≃+* S) (l : list R) :
f l.prod = (l.map f).prod := f.to_ring_hom.map_list_prod l
lemma map_list_sum [non_assoc_semiring R] [non_assoc_semiring S] (f : R ≃+* S) (l : list R) :
f l.sum = (l.map f).sum := f.to_ring_hom.map_list_sum l
/-- An isomorphism into the opposite ring acts on the product by acting on the reversed elements -/
lemma unop_map_list_prod [semiring R] [semiring S] (f : R ≃+* Sᵐᵒᵖ) (l : list R) :
mul_opposite.unop (f l.prod) = (l.map (mul_opposite.unop ∘ f)).reverse.prod :=
f.to_ring_hom.unop_map_list_prod l
lemma map_multiset_prod [comm_semiring R] [comm_semiring S] (f : R ≃+* S) (s : multiset R) :
f s.prod = (s.map f).prod := f.to_ring_hom.map_multiset_prod s
lemma map_multiset_sum [non_assoc_semiring R] [non_assoc_semiring S]
(f : R ≃+* S) (s : multiset R) : f s.sum = (s.map f).sum := f.to_ring_hom.map_multiset_sum s
lemma map_prod {α : Type*} [comm_semiring R] [comm_semiring S] (g : R ≃+* S) (f : α → R)
(s : finset α) : g (∏ x in s, f x) = ∏ x in s, g (f x) :=
g.to_ring_hom.map_prod f s
lemma map_sum {α : Type*} [non_assoc_semiring R] [non_assoc_semiring S]
(g : R ≃+* S) (f : α → R) (s : finset α) : g (∑ x in s, f x) = ∑ x in s, g (f x) :=
g.to_ring_hom.map_sum f s
end big_operators
section division_ring
variables {K K' : Type*} [division_ring K] [division_ring K']
(g : K ≃+* K') (x y : K)
lemma map_inv : g x⁻¹ = (g x)⁻¹ := g.to_ring_hom.map_inv x
lemma map_div : g (x / y) = g x / g y := g.to_ring_hom.map_div x y
end division_ring
section group_power
variables [semiring R] [semiring S]
@[simp] lemma map_pow (f : R ≃+* S) (a) :
∀ n : ℕ, f (a ^ n) = (f a) ^ n :=
f.to_ring_hom.map_pow a
end group_power
end ring_equiv
namespace mul_equiv
/-- Gives a `ring_equiv` from a `mul_equiv` preserving addition.-/
def to_ring_equiv {R : Type*} {S : Type*} [has_add R] [has_add S] [has_mul R] [has_mul S]
(h : R ≃* S) (H : ∀ x y : R, h (x + y) = h x + h y) : R ≃+* S :=
{..h.to_equiv, ..h, ..add_equiv.mk' h.to_equiv H }
end mul_equiv
namespace ring_equiv
variables [has_add R] [has_add S] [has_mul R] [has_mul S]
@[simp] theorem self_trans_symm (e : R ≃+* S) : e.trans e.symm = ring_equiv.refl R := ext e.3
@[simp] theorem symm_trans_self (e : R ≃+* S) : e.symm.trans e = ring_equiv.refl S := ext e.4
/-- If two rings are isomorphic, and the second is a domain, then so is the first. -/
protected lemma is_domain
{A : Type*} (B : Type*) [ring A] [ring B] [is_domain B]
(e : A ≃+* B) : is_domain A :=
{ eq_zero_or_eq_zero_of_mul_eq_zero := λ x y hxy,
have e x * e y = 0, by rw [← e.map_mul, hxy, e.map_zero],
by simpa using eq_zero_or_eq_zero_of_mul_eq_zero this,
exists_pair_ne := ⟨e.symm 0, e.symm 1, e.symm.injective.ne zero_ne_one⟩ }
end ring_equiv
|
5ed1d675e74bf5b34da025979ae71852791c6f5e | 46125763b4dbf50619e8846a1371029346f4c3db | /src/group_theory/quotient_group.lean | b1541cee41fb07435017d3fabe2df4de4616a13c | [
"Apache-2.0"
] | permissive | thjread/mathlib | a9d97612cedc2c3101060737233df15abcdb9eb1 | 7cffe2520a5518bba19227a107078d83fa725ddc | refs/heads/master | 1,615,637,696,376 | 1,583,953,063,000 | 1,583,953,063,000 | 246,680,271 | 0 | 0 | Apache-2.0 | 1,583,960,875,000 | 1,583,960,875,000 | null | UTF-8 | Lean | false | false | 7,163 | lean | /-
Copyright (c) 2018 Kevin Buzzard and Patrick Massot. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Kevin Buzzard, Patrick Massot.
This file is to a certain extent based on `quotient_module.lean` by Johannes Hölzl.
-/
import group_theory.coset
universes u v
namespace quotient_group
variables {G : Type u} [group G] (N : set G) [normal_subgroup N] {H : Type v} [group H]
@[to_additive quotient_add_group.add_group]
instance : group (quotient N) :=
{ one := (1 : G),
mul := quotient.map₂' (*)
(λ a₁ b₁ hab₁ a₂ b₂ hab₂,
((is_subgroup.mul_mem_cancel_left N (is_subgroup.inv_mem hab₂)).1
(by rw [mul_inv_rev, mul_inv_rev, ← mul_assoc (a₂⁻¹ * a₁⁻¹),
mul_assoc _ b₂, ← mul_assoc b₂, mul_inv_self, one_mul, mul_assoc (a₂⁻¹)];
exact normal_subgroup.normal _ hab₁ _))),
mul_assoc := λ a b c, quotient.induction_on₃' a b c
(λ a b c, congr_arg mk (mul_assoc a b c)),
one_mul := λ a, quotient.induction_on' a
(λ a, congr_arg mk (one_mul a)),
mul_one := λ a, quotient.induction_on' a
(λ a, congr_arg mk (mul_one a)),
inv := λ a, quotient.lift_on' a (λ a, ((a⁻¹ : G) : quotient N))
(λ a b hab, quotient.sound' begin
show a⁻¹⁻¹ * b⁻¹ ∈ N,
rw ← mul_inv_rev,
exact is_subgroup.inv_mem (is_subgroup.mem_norm_comm hab)
end),
mul_left_inv := λ a, quotient.induction_on' a
(λ a, congr_arg mk (mul_left_inv a)) }
@[to_additive quotient_add_group.is_add_group_hom]
instance : is_group_hom (mk : G → quotient N) := { map_mul := λ _ _, rfl }
@[simp, to_additive quotient_add_group.ker_mk]
lemma ker_mk :
is_group_hom.ker (quotient_group.mk : G → quotient_group.quotient N) = N :=
begin
ext g,
rw [is_group_hom.mem_ker, eq_comm],
show (((1 : G) : quotient_group.quotient N)) = g ↔ _,
rw [quotient_group.eq, one_inv, one_mul],
end
@[to_additive quotient_add_group.add_comm_group]
instance {G : Type*} [comm_group G] (s : set G) [is_subgroup s] : comm_group (quotient s) :=
{ mul_comm := λ a b, quotient.induction_on₂' a b
(λ a b, congr_arg mk (mul_comm a b)),
..@quotient_group.group _ _ s (normal_subgroup_of_comm_group s) }
@[simp, to_additive quotient_add_group.coe_zero]
lemma coe_one : ((1 : G) : quotient N) = 1 := rfl
@[simp, to_additive quotient_add_group.coe_add]
lemma coe_mul (a b : G) : ((a * b : G) : quotient N) = a * b := rfl
@[simp, to_additive quotient_add_group.coe_neg]
lemma coe_inv (a : G) : ((a⁻¹ : G) : quotient N) = a⁻¹ := rfl
@[simp] lemma coe_pow (a : G) (n : ℕ) : ((a ^ n : G) : quotient N) = a ^ n :=
(monoid_hom.of mk).map_pow a n
@[simp] lemma coe_gpow (a : G) (n : ℤ) : ((a ^ n : G) : quotient N) = a ^ n :=
(monoid_hom.of mk).map_gpow a n
local notation ` Q ` := quotient N
@[to_additive quotient_add_group.lift]
def lift (φ : G → H) [is_group_hom φ] (HN : ∀x∈N, φ x = 1) (q : Q) : H :=
q.lift_on' φ $ assume a b (hab : a⁻¹ * b ∈ N),
(calc φ a = φ a * 1 : (mul_one _).symm
... = φ a * φ (a⁻¹ * b) : HN (a⁻¹ * b) hab ▸ rfl
... = φ (a * (a⁻¹ * b)) : (is_mul_hom.map_mul φ a (a⁻¹ * b)).symm
... = φ b : by rw mul_inv_cancel_left)
@[simp, to_additive quotient_add_group.lift_mk]
lemma lift_mk {φ : G → H} [is_group_hom φ] (HN : ∀x∈N, φ x = 1) (g : G) :
lift N φ HN (g : Q) = φ g := rfl
@[simp, to_additive quotient_add_group.lift_mk']
lemma lift_mk' {φ : G → H} [is_group_hom φ] (HN : ∀x∈N, φ x = 1) (g : G) :
lift N φ HN (mk g : Q) = φ g := rfl
@[to_additive quotient_add_group.map]
def map (M : set H) [normal_subgroup M] (f : G → H) [is_group_hom f] (h : N ⊆ f ⁻¹' M) :
quotient N → quotient M :=
begin
haveI : is_group_hom ((mk : H → quotient M) ∘ f) := is_group_hom.comp _ _,
refine quotient_group.lift N (mk ∘ f) _,
assume x hx,
refine quotient_group.eq.2 _,
rw [mul_one, is_subgroup.inv_mem_iff],
exact h hx,
end
variables (φ : G → H) [is_group_hom φ] (HN : ∀x∈N, φ x = 1)
@[to_additive quotient_add_group.is_add_group_hom_quotient_lift]
instance is_group_hom_quotient_lift :
is_group_hom (lift N φ HN) :=
{ map_mul := λ q r, quotient.induction_on₂' q r $ is_mul_hom.map_mul φ }
@[to_additive quotient_add_group.map_is_add_group_hom]
instance map_is_group_hom (M : set H) [normal_subgroup M]
(f : G → H) [is_group_hom f] (h : N ⊆ f ⁻¹' M) : is_group_hom (map N M f h) :=
quotient_group.is_group_hom_quotient_lift _ _ _
open function is_group_hom
/-- The induced map from the quotient by the kernel to the codomain. -/
@[to_additive quotient_add_group.ker_lift]
def ker_lift : quotient (ker φ) → H :=
lift _ φ $ λ g, (mem_ker φ).mp
@[simp, to_additive quotient_add_group.ker_lift_mk]
lemma ker_lift_mk (g : G) : (ker_lift φ) g = φ g :=
lift_mk _ _ _
@[simp, to_additive quotient_add_group.ker_lift_mk']
lemma ker_lift_mk' (g : G) : (ker_lift φ) (mk g) = φ g :=
lift_mk' _ _ _
@[to_additive quotient_add_group.ker_lift_is_add_group_hom]
instance ker_lift_is_group_hom : is_group_hom (ker_lift φ) :=
quotient_group.is_group_hom_quotient_lift _ _ _
@[to_additive quotient_add_group.injective_ker_lift]
lemma injective_ker_lift : injective (ker_lift φ) :=
assume a b, quotient.induction_on₂' a b $ assume a b (h : φ a = φ b), quotient.sound' $
show a⁻¹ * b ∈ ker φ, by rw [mem_ker φ,
is_mul_hom.map_mul φ, ← h, is_group_hom.map_inv φ, inv_mul_self]
--@[to_additive quotient_add_group.quotient_ker_equiv_range]
noncomputable def quotient_ker_equiv_range : (quotient (ker φ)) ≃ set.range φ :=
@equiv.of_bijective _ (set.range φ) (λ x, ⟨lift (ker φ) φ
(by simp [mem_ker]) x, by exact quotient.induction_on' x (λ x, ⟨x, rfl⟩)⟩)
⟨λ a b h, injective_ker_lift _ (subtype.mk.inj h),
λ ⟨x, y, hy⟩, ⟨mk y, subtype.eq hy⟩⟩
noncomputable def quotient_ker_equiv_of_surjective (hφ : function.surjective φ) :
(quotient (ker φ)) ≃ H :=
calc (quotient_group.quotient (is_group_hom.ker φ)) ≃ set.range φ : quotient_ker_equiv_range _
... ≃ H : ⟨λ a, a.1, λ b, ⟨b, hφ b⟩, λ ⟨_, _⟩, rfl, λ _, rfl⟩
end quotient_group
namespace quotient_add_group
open is_add_group_hom
variables {G : Type u} [_root_.add_group G] (N : set G) [normal_add_subgroup N] {H : Type v} [_root_.add_group H]
variables (φ : G → H) [_root_.is_add_group_hom φ]
noncomputable def quotient_ker_equiv_range : (quotient (ker φ)) ≃ set.range φ :=
@quotient_group.quotient_ker_equiv_range (multiplicative G) _ (multiplicative H) _ φ
(multiplicative.is_group_hom _)
noncomputable def quotient_ker_equiv_of_surjective (hφ : function.surjective φ) :
(quotient (ker φ)) ≃ H :=
@quotient_group.quotient_ker_equiv_of_surjective (multiplicative G) _ (multiplicative H) _ φ
(multiplicative.is_group_hom _) hφ
attribute [to_additive quotient_add_group.quotient_ker_equiv_range] quotient_group.quotient_ker_equiv_range
attribute [to_additive quotient_add_group.quotient_ker_equiv_of_surjective] quotient_group.quotient_ker_equiv_of_surjective
end quotient_add_group
|
a34bc389a1701d6fd69412f3ef52e68732974a6c | ba4794a0deca1d2aaa68914cd285d77880907b5c | /src/my_solutions/world1_addition.lean | 9721df9c76856f99e982cb16da5be323ec36ea5b | [
"Apache-2.0"
] | permissive | ChrisHughes24/natural_number_game | c7c00aa1f6a95004286fd456ed13cf6e113159ce | 9d09925424da9f6275e6cfe427c8bcf12bb0944f | refs/heads/master | 1,600,715,773,528 | 1,573,910,462,000 | 1,573,910,462,000 | null | 0 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 4,668 | lean | import mynat.definition -- Imports the natural numbers.
/- Here's what you get from the import:
1) The following data:
* a type called `mynat`
* a term `0 : mynat`, interpreted as the number zero.
* a function `succ : mynat → mynat`, with `succ n` interpreted as "the number after n".
* Usual numerical notation 0,1,2,3,4,5 etc.
2) The following axioms:
* `zero_ne_succ : ∀ (a : mynat), zero ≠ succ(a)`, the statement that zero isn't a successor.
-- this ensures that there is more than one natural number.
* `succ_inj : ∀ {a b : mynat}, succ(a) = succ(b) → a = b`, the statement that
if succ(a) = succ(b) then a = b.
-- this ensures that there are infinitely many natural numbers.
3) The principle of mathematical induction.
* In practice this means that if you have `n : mynat` then you can use the tactic `induction n`.
4) A few useful extra things:
* The theorem `one_eq_succ_zero : 1 = succ 0`
* The theorem `ne_iff_implies_false : a ≠ b ↔ (a = b) → false`
-/
import mynat.add -- definition of addition
/- Here's what you get from the import:
1) The following data:
* a function called mynat.add, and notation a + b for this function
2) The following axioms:
* `add_zero : ∀ a : mynat, a + 0 = a`
* `add_succ : ∀ a b : mynat, a + succ(b) = succ(a + b)`
These axiom between them tell you how to work out a + x for every x; use induction on x to
reduce to the case either `x = 0` or `x = succ b`, and then use `add_zero` or `add_succ` appropriately.
-/
namespace mynat
-- Summary:
-- Naturals:
-- 1) 0 and succ are constants
-- 2) succ_inj and zero_ne_succ are axioms
-- 3) Induction works.
-- Addition:
-- 1) add_zero and add_succ are the axioms
-- 2) notation is a + b
/-
Collectibles in this level:
add_comm_monoid -- collectible_02
add_monoid [zero_add] -- collectible_01
(has_zero)
add_semigroup [add_assoc]
(has_add)
add_comm_semigroup [add_comm]
add_semigroup (see above)
-/
/-
Instructions: First carefully explain definition of nat and add. Then
guide them through the first level.
"We're going to prove this by induction on n, which is a natural
thing to do because we defined addition by recursion on n (you
prove things by induction and define them by recursion).
For the base case, we are going to use the axiom that a + 0 = 0.
refl closes a goal of the form x = x. how to use add_succ here?
etc.
Full solution to zero_add:
induction n with d hd,
rw add_zero,
refl,
rw add_succ,
rw hd,
refl,
"
-/
lemma zero_add (n : mynat) : 0 + n = n :=
begin [less_leaky]
sorry
end
lemma add_assoc (a b c : mynat) : (a + b) + c = a + (b + c) :=
begin [less_leaky]
sorry
end
-- first point: needs add_assoc, zero_add, add_zero
def collectible_01 : add_monoid mynat := by structure_helper
--#print axioms collectible_01 -- prove you got this by uncommenting
-- proving add_comm immediately is still tricky; trying it
-- reveals a natural intermediate lemma which we prove first.
lemma succ_add (a b : mynat) : succ a + b = succ (a + b) :=
begin [less_leaky]
sorry
end
lemma add_comm (a b : mynat) : a + b = b + a :=
begin [less_leaky]
sorry
end
-- level up
def collectible_02 : add_comm_monoid mynat := by structure_helper
--#print axioms collectible_02
-- no more collectibles beyond this point in this file, however
-- stuff below is used in other collectibles in other files.
theorem succ_ne_zero : ∀ {{a : mynat}}, succ a ≠ 0 :=
begin [less_leaky]
sorry
end
theorem eq_iff_succ_eq_succ (a b : mynat) : succ a = succ b ↔ a = b :=
begin [less_leaky]
sorry
end
theorem succ_eq_add_one (n : mynat) : succ n = n + 1 :=
begin [less_leaky]
sorry
end
lemma add_right_comm (a b c : mynat) : a + b + c = a + c + b :=
begin [less_leaky]
sorry
end
theorem add_left_cancel ⦃ a b c : mynat⦄ : a + b = a + c → b = c :=
begin [less_leaky]
sorry
end
theorem add_right_cancel ⦃a b c : mynat⦄ : a + b = c + b → a = c :=
begin [less_leaky]
sorry
end
theorem add_right_cancel_iff (t a b : mynat) : a + t = b + t ↔ a = b :=
begin [less_leaky]
sorry
end
-- this is used for antisymmetry of ≤
lemma eq_zero_of_add_right_eq_self {{a b : mynat}} : a + b = a → b = 0 :=
begin [less_leaky]
sorry
end
-- now used for antisymmetry of ≤
lemma add_left_eq_zero {{a b : mynat}} : a + b = 0 → b = 0 :=
begin [less_leaky]
sorry
end
lemma add_right_eq_zero {{a b : mynat}} : a + b = 0 → a = 0 :=
begin [less_leaky]
sorry
end
theorem add_one_eq_succ (d : mynat) : d + 1 = succ d :=
begin [less_leaky]
sorry
end
def ne_succ_self (n : mynat) : n ≠ succ n :=
begin [less_leaky]
sorry
end
end mynat |
c0b72cd42b6eed81fdf625210e2c2fc5c9b0467d | 74addaa0e41490cbaf2abd313a764c96df57b05d | /Mathlib/Lean3Lib/init/util_auto.lean | 1fa070720a55e796ef88e07afc9c3afc431e4fcc | [] | no_license | AurelienSaue/Mathlib4_auto | f538cfd0980f65a6361eadea39e6fc639e9dae14 | 590df64109b08190abe22358fabc3eae000943f2 | refs/heads/master | 1,683,906,849,776 | 1,622,564,669,000 | 1,622,564,669,000 | 371,723,747 | 0 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 1,013 | 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
-/
import Mathlib.PrePort
import Mathlib.Lean3Lib.init.meta.format
universes u
namespace Mathlib
/-- This function has a native implementation that tracks time. -/
def timeit {α : Type u} (s : string) (f : thunk α) : α := f Unit.unit
/-- This function has a native implementation that displays the given string in the regular output stream. -/
def trace {α : Type u} (s : string) (f : thunk α) : α := f Unit.unit
/-- This function has a native implementation that shows the VM call stack. -/
def trace_call_stack {α : Type u} (f : thunk α) : α := f Unit.unit
/-- This function has a native implementation that displays in the given position all trace messages used in f.
The arguments line and col are filled by the elaborator. -/
def scope_trace {α : Type u} {line : ℕ} {col : ℕ} (f : thunk α) : α := f Unit.unit
end Mathlib |
f4d66e69a0d5f8992235def841f7e0daaf4e79d8 | 92bfaf170880e47d55bf51d5a782fffd76db2f5f | /melting_point/equiv.lean | 7aee5e461a73aea11eeb94fb9065027076ead883 | [] | no_license | forked-from-1kasper/melting_point | d33403e1985d876a2c7c06859962cc0c37570189 | e5ea4a0917de086b7e5b122e8d5aa90d2761d147 | refs/heads/master | 1,624,785,375,577 | 1,618,305,367,000 | 1,618,305,367,000 | 222,729,018 | 2 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 634 | lean | universes u v
variables {α : Type u} {β : Type v}
def homotopy {α : Type u} {β : Type v} (f g : α → β) :=
Π x, f x = g x
infix ` ~ ` := homotopy
def linv (f : α → β) := ∃ g, g ∘ f ~ id
def rinv (f : α → β) := ∃ g, f ∘ g ~ id
def biinv (f : α → β) := rinv f ∧ linv f
def injection (f : α → β) :=
∀ x y, f x = f y → x = y
def surjection (f : α → β) :=
∀ y, ∃ x, y = f x
def equiv (α : Type u) (β : Type v) :=
∃ (f : α → β), biinv f
infix ` ≃ `:25 := equiv
@[refl] theorem equiv.refl (α : Type u) : α ≃ α :=
begin existsi id, split; existsi id; intro x; reflexivity end |
63754362092c380fd505495a43d3c7670eea13b0 | 1f6fe2f89976b14a4567ab298c35792b21f2e50b | /pointed.hlean | 554e2c328a538e1013672a2a53cc12e3b585cdcb | [
"Apache-2.0"
] | permissive | jonas-frey/Spectral | e5c1c2f7bcac26aa55f7b1e041a81272a146198d | 72d521091525a4bc9a31cac859840efe9461cf66 | refs/heads/master | 1,610,235,743,345 | 1,505,417,795,000 | 1,505,417,795,000 | 102,653,342 | 0 | 0 | null | 1,504,728,483,000 | 1,504,728,483,000 | null | UTF-8 | Lean | false | false | 11,599 | hlean | /- equalities between pointed homotopies and other facts about pointed types/functions/homotopies -/
-- Author: Floris van Doorn
import types.pointed2 .move_to_lib
open pointed eq equiv function is_equiv unit is_trunc trunc nat algebra sigma group lift option
namespace pointed
-- /- the pointed type of (unpointed) dependent maps -/
-- definition pupi [constructor] {A : Type} (P : A → Type*) : Type* :=
-- pointed.mk' (Πa, P a)
-- definition loop_pupi_commute {A : Type} (B : A → Type*) : Ω(pupi B) ≃* pupi (λa, Ω (B a)) :=
-- pequiv_of_equiv eq_equiv_homotopy rfl
-- definition equiv_pupi_right {A : Type} {P Q : A → Type*} (g : Πa, P a ≃* Q a)
-- : pupi P ≃* pupi Q :=
-- pequiv_of_equiv (pi_equiv_pi_right g)
-- begin esimp, apply eq_of_homotopy, intros a, esimp, exact (respect_pt (g a)) end
-- definition pmap_eq_equiv {X Y : Type*} (f g : X →* Y) : (f = g) ≃ (f ~* g) :=
-- begin
-- refine eq_equiv_fn_eq_of_equiv (@pmap.sigma_char X Y) f g ⬝e _,
-- refine !sigma_eq_equiv ⬝e _,
-- refine _ ⬝e (phomotopy.sigma_char f g)⁻¹ᵉ,
-- fapply sigma_equiv_sigma,
-- { esimp, apply eq_equiv_homotopy },
-- { induction g with g gp, induction Y with Y y0, esimp, intro p, induction p, esimp at *,
-- refine !pathover_idp ⬝e _, refine _ ⬝e !eq_equiv_eq_symm,
-- apply equiv_eq_closed_right, exact !idp_con⁻¹ }
-- end
/- remove some duplicates: loop_ppmap_commute, loop_ppmap_pequiv, loop_ppmap_pequiv', pfunext -/
definition pfunext (X Y : Type*) : ppmap X (Ω Y) ≃* Ω (ppmap X Y) :=
(loop_ppmap_commute X Y)⁻¹ᵉ*
definition loop_phomotopy [constructor] {A B : Type*} (f : A →* B) : Type* :=
pointed.MK (f ~* f) phomotopy.rfl
definition ppcompose_left_loop_phomotopy [constructor] {A B C : Type*} (g : B →* C) {f : A →* B}
{h : A →* C} (p : g ∘* f ~* h) : loop_phomotopy f →* loop_phomotopy h :=
pmap.mk (λq, p⁻¹* ⬝* pwhisker_left g q ⬝* p)
(idp ◾** !pwhisker_left_refl ◾** idp ⬝ !trans_refl ◾** idp ⬝ !trans_left_inv)
definition ppcompose_left_loop_phomotopy' [constructor] {A B C : Type*} (g : B →* C) (f : A →* B)
: loop_phomotopy f →* loop_phomotopy (g ∘* f) :=
pmap.mk (λq, pwhisker_left g q) !pwhisker_left_refl
definition loop_ppmap_pequiv' [constructor] (A B : Type*) :
Ω(ppmap A B) ≃* loop_phomotopy (pconst A B) :=
pequiv_of_equiv (pmap_eq_equiv _ _) idp
definition ppmap_loop_pequiv' [constructor] (A B : Type*) :
loop_phomotopy (pconst A B) ≃* ppmap A (Ω B) :=
pequiv_of_equiv (!phomotopy.sigma_char ⬝e !pmap.sigma_char⁻¹ᵉ) idp
definition loop_ppmap_pequiv [constructor] (A B : Type*) : Ω(ppmap A B) ≃* ppmap A (Ω B) :=
loop_ppmap_pequiv' A B ⬝e* ppmap_loop_pequiv' A B
definition loop_ppmap_pequiv'_natural_right' {X X' : Type} (x₀ : X) (A : Type*) (f : X → X') :
psquare (loop_ppmap_pequiv' A _) (loop_ppmap_pequiv' A _)
(Ω→ (ppcompose_left (pmap_of_map f x₀)))
(ppcompose_left_loop_phomotopy' (pmap_of_map f x₀) !pconst) :=
begin
fapply phomotopy.mk,
{ esimp, intro p,
refine _ ⬝ ap011 (λx y, phomotopy_of_eq (ap1_gen _ x y _))
proof !eq_of_phomotopy_refl⁻¹ qed proof !eq_of_phomotopy_refl⁻¹ qed,
refine _ ⬝ ap phomotopy_of_eq !ap1_gen_idp_left⁻¹,
exact !phomotopy_of_eq_pcompose_left⁻¹ },
{ refine _ ⬝ !idp_con⁻¹, exact sorry }
end
definition loop_ppmap_pequiv'_natural_right {X X' : Type*} (A : Type*) (f : X →* X') :
psquare (loop_ppmap_pequiv' A X) (loop_ppmap_pequiv' A X')
(Ω→ (ppcompose_left f)) (ppcompose_left_loop_phomotopy f !pcompose_pconst) :=
begin
induction X' with X' x₀', induction f with f f₀, esimp at f, esimp at f₀, induction f₀,
apply psquare_of_phomotopy,
exact sorry
end
definition ppmap_loop_pequiv'_natural_right {X X' : Type*} (A : Type*) (f : X →* X') :
psquare (ppmap_loop_pequiv' A X) (ppmap_loop_pequiv' A X')
(ppcompose_left_loop_phomotopy f !pcompose_pconst) (ppcompose_left (Ω→ f)) :=
begin
exact sorry
end
definition loop_pmap_commute_natural_right_direct {X X' : Type*} (A : Type*) (f : X →* X') :
psquare (loop_ppmap_pequiv A X) (loop_ppmap_pequiv A X')
(Ω→ (ppcompose_left f)) (ppcompose_left (Ω→ f)) :=
begin
induction X' with X' x₀', induction f with f f₀, esimp at f, esimp at f₀, induction f₀,
-- refine _ ⬝* _ ◾* _, rotate 4,
fapply phomotopy.mk,
{ intro p, esimp, esimp [pmap_eq_equiv, pcompose_pconst], exact sorry },
{ exact sorry }
end
definition loop_pmap_commute_natural_left {A A' : Type*} (X : Type*) (f : A' →* A) :
psquare (loop_ppmap_commute A X) (loop_ppmap_commute A' X)
(Ω→ (ppcompose_right f)) (ppcompose_right f) :=
sorry
definition loop_pmap_commute_natural_right {X X' : Type*} (A : Type*) (f : X →* X') :
psquare (loop_ppmap_commute A X) (loop_ppmap_commute A X')
(Ω→ (ppcompose_left f)) (ppcompose_left (Ω→ f)) :=
loop_ppmap_pequiv'_natural_right A f ⬝h* ppmap_loop_pequiv'_natural_right A f
/-
Do we want to use a structure of homotopies between pointed homotopies? Or are equalities fine?
If we set up things more generally, we could define this as
"pointed homotopies between the dependent pointed maps p and q"
-/
structure phomotopy2 {A B : Type*} {f g : A →* B} (p q : f ~* g) : Type :=
(homotopy_eq : p ~ q)
(homotopy_pt_eq : whisker_right (respect_pt g) (homotopy_eq pt) ⬝ to_homotopy_pt q =
to_homotopy_pt p)
/- this sets it up more generally, for illustrative purposes -/
structure ppi' (A : Type*) (P : A → Type) (p : P pt) :=
(to_fun : Π a : A, P a)
(resp_pt : to_fun (Point A) = p)
attribute ppi'.to_fun [coercion]
definition phomotopy' {A : Type*} {P : A → Type} {x : P pt} (f g : ppi' A P x) : Type :=
ppi' A (λa, f a = g a) (ppi'.resp_pt f ⬝ (ppi'.resp_pt g)⁻¹)
definition phomotopy2' {A : Type*} {P : A → Type} {x : P pt} {f g : ppi' A P x}
(p q : phomotopy' f g) : Type :=
phomotopy' p q
-- infix ` ~*2 `:50 := phomotopy2
-- variables {A B : Type*} {f g : A →* B} (p q : f ~* g)
-- definition phomotopy_eq_equiv_phomotopy2 : p = q ≃ p ~*2 q :=
-- sorry
/- Homotopy between a function and its eta expansion -/
definition pmap_eta {X Y : Type*} (f : X →* Y) : f ~* pmap.mk f (respect_pt f) :=
begin
fapply phomotopy.mk,
reflexivity,
esimp, exact !idp_con
end
-- this should replace pnatural_square
definition pnatural_square2 {A B : Type} (X : B → Type*) (Y : B → Type*) {f g : A → B}
(h : Πa, X (f a) →* Y (g a)) {a a' : A} (p : a = a') :
h a' ∘* ptransport X (ap f p) ~* ptransport Y (ap g p) ∘* h a :=
by induction p; exact !pcompose_pid ⬝* !pid_pcompose⁻¹*
definition ptransport_ap {A B : Type} (X : B → Type*) (f : A → B) {a a' : A} (p : a = a') :
ptransport X (ap f p) ~* ptransport (X ∘ f) p :=
by induction p; reflexivity
definition ptransport_constant (A : Type) (B : Type*) {a a' : A} (p : a = a') :
ptransport (λ(a : A), B) p ~* pid B :=
by induction p; reflexivity
definition ptransport_natural {A : Type} (X : A → Type*) (Y : A → Type*)
(h : Πa, X a →* Y a) {a a' : A} (p : a = a') :
h a' ∘* ptransport X p ~* ptransport Y p ∘* h a :=
by induction p; exact !pcompose_pid ⬝* !pid_pcompose⁻¹*
section psquare
variables {A A' A₀₀ A₂₀ A₄₀ A₀₂ A₂₂ A₄₂ A₀₄ A₂₄ A₄₄ : Type*}
{f₁₀ f₁₀' : A₀₀ →* A₂₀} {f₃₀ : A₂₀ →* A₄₀}
{f₀₁ f₀₁' : A₀₀ →* A₀₂} {f₂₁ f₂₁' : A₂₀ →* A₂₂} {f₄₁ : A₄₀ →* A₄₂}
{f₁₂ f₁₂' : A₀₂ →* A₂₂} {f₃₂ : A₂₂ →* A₄₂}
{f₀₃ : A₀₂ →* A₀₄} {f₂₃ : A₂₂ →* A₂₄} {f₄₃ : A₄₂ →* A₄₄}
{f₁₄ : A₀₄ →* A₂₄} {f₃₄ : A₂₄ →* A₄₄}
definition ptranspose (p : psquare f₁₀ f₁₂ f₀₁ f₂₁) : psquare f₀₁ f₂₁ f₁₀ f₁₂ :=
p⁻¹*
definition hsquare_of_psquare (p : psquare f₁₀ f₁₂ f₀₁ f₂₁) : hsquare f₁₀ f₁₂ f₀₁ f₂₁ :=
p
definition homotopy_group_functor_hsquare (n : ℕ) (h : psquare f₁₀ f₁₂ f₀₁ f₂₁) :
psquare (π→[n] f₁₀) (π→[n] f₁₂)
(π→[n] f₀₁) (π→[n] f₂₁) :=
sorry
end psquare
definition ap1_pequiv_ap {A : Type} (B : A → Type*) {a a' : A} (p : a = a') :
Ω→ (pequiv_ap B p) ~* pequiv_ap (Ω ∘ B) p :=
begin induction p, apply ap1_pid end
definition pequiv_ap_natural {A : Type} (B C : A → Type*) {a a' : A} (p : a = a')
(f : Πa, B a →* C a) :
psquare (pequiv_ap B p) (pequiv_ap C p) (f a) (f a') :=
begin induction p, exact phrfl end
definition is_contr_loop (A : Type*) [is_set A] : is_contr (Ω A) :=
is_contr.mk idp (λa, !is_prop.elim)
definition is_contr_loop_of_is_contr {A : Type*} (H : is_contr A) : is_contr (Ω A) :=
is_contr_loop A
definition is_contr_punit [instance] : is_contr punit :=
is_contr_unit
definition pequiv_of_is_contr (A B : Type*) (HA : is_contr A) (HB : is_contr B) : A ≃* B :=
pequiv_punit_of_is_contr A _ ⬝e* (pequiv_punit_of_is_contr B _)⁻¹ᵉ*
definition loop_pequiv_punit_of_is_set (X : Type*) [is_set X] : Ω X ≃* punit :=
pequiv_punit_of_is_contr _ (is_contr_loop X)
definition loop_punit : Ω punit ≃* punit :=
loop_pequiv_punit_of_is_set punit
definition add_point_over [unfold 3] {A : Type} (B : A → Type*) : A₊ → Type*
| (some a) := B a
| none := plift punit
definition add_point_over_pequiv {A : Type} {B B' : A → Type*} (e : Πa, B a ≃* B' a) :
Π(a : A₊), add_point_over B a ≃* add_point_over B' a
| (some a) := e a
| none := pequiv.rfl
definition phomotopy_group_plift_punit.{u} (n : ℕ) [H : is_at_least_two n] :
πag[n] (plift.{0 u} punit) ≃g trivial_ab_group_lift.{u} :=
begin
induction H with n,
have H : 0 <[ℕ] n+2, from !zero_lt_succ,
have is_set unit, from _,
have is_trunc (trunc_index.of_nat 0) punit, from this,
exact isomorphism_of_is_contr (@trivial_homotopy_group_of_is_trunc _ _ _ !is_trunc_lift H)
!is_trunc_lift
end
definition pmap_of_map_pt [constructor] {A : Type*} {B : Type} (f : A → B) :
A →* pointed.MK B (f pt) :=
pmap.mk f idp
/- TODO: computation rule -/
open pi
definition fiberwise_pointed_map_rec {A : Type} {B : A → Type*}
(P : Π(C : A → Type*) (g : Πa, B a →* C a), Type)
(H : Π(C : A → Type) (g : Πa, B a → C a), P _ (λa, pmap_of_map_pt (g a))) :
Π⦃C : A → Type*⦄ (g : Πa, B a →* C a), P C g :=
begin
refine equiv_rect (!sigma_pi_equiv_pi_sigma ⬝e
arrow_equiv_arrow_right A !pType.sigma_char⁻¹ᵉ) _ _,
intro R, cases R with R r₀,
refine equiv_rect (!sigma_pi_equiv_pi_sigma ⬝e
pi_equiv_pi_right (λa, !pmap.sigma_char⁻¹ᵉ)) _ _,
intro g, cases g with g g₀, esimp at (g, g₀),
revert g₀, change (Π(g : (λa, g a (Point (B a))) ~ r₀), _),
refine homotopy.rec_idp _ _, esimp,
apply H
end
definition ap1_gen_idp_eq {A B : Type} (f : A → B) {a : A} (q : f a = f a) (r : q = idp) :
ap1_gen_idp f q = ap (λx, ap1_gen f x x idp) r :=
begin cases r, reflexivity end
end pointed
|
ffda279e8c58a230698cff2d22df288884bf34e2 | fecda8e6b848337561d6467a1e30cf23176d6ad0 | /src/data/nat/prime.lean | 45e18bfcc4514d7e41ecd638b8f83a41db2ea507 | [
"Apache-2.0"
] | permissive | spolu/mathlib | bacf18c3d2a561d00ecdc9413187729dd1f705ed | 480c92cdfe1cf3c2d083abded87e82162e8814f4 | refs/heads/master | 1,671,684,094,325 | 1,600,736,045,000 | 1,600,736,045,000 | 297,564,749 | 1 | 0 | null | 1,600,758,368,000 | 1,600,758,367,000 | null | UTF-8 | Lean | false | false | 23,312 | lean | /-
Copyright (c) 2015 Microsoft Corporation. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Leonardo de Moura, Jeremy Avigad, Mario Carneiro
-/
import data.nat.sqrt
import data.nat.gcd
import algebra.group_power
import tactic.wlog
/-!
# Prime numbers
This file deals with prime numbers: natural numbers `p ≥ 2` whose only divisors are `p` and `1`.
## Important declarations
All the following declarations exist in the namespace `nat`.
- `prime`: the predicate that expresses that a natural number `p` is prime
- `primes`: the subtype of natural numbers that are prime
- `min_fac n`: the minimal prime factor of a natural number `n ≠ 1`
- `exists_infinite_primes`: Euclid's theorem that there exist infinitely many prime numbers
- `factors n`: the prime factorization of `n`
- `factors_unique`: uniqueness of the prime factorisation
-/
open bool subtype
namespace nat
/-- `prime p` means that `p` is a prime number, that is, a natural number
at least 2 whose only divisors are `p` and `1`. -/
@[pp_nodot]
def prime (p : ℕ) := 2 ≤ p ∧ ∀ m ∣ p, m = 1 ∨ m = p
theorem prime.two_le {p : ℕ} : prime p → 2 ≤ p := and.left
theorem prime.one_lt {p : ℕ} : prime p → 1 < p := prime.two_le
instance prime.one_lt' (p : ℕ) [hp : _root_.fact p.prime] : _root_.fact (1 < p) := hp.one_lt
lemma prime.ne_one {p : ℕ} (hp : p.prime) : p ≠ 1 :=
ne.symm $ ne_of_lt hp.one_lt
theorem prime_def_lt {p : ℕ} : prime p ↔ 2 ≤ p ∧ ∀ m < p, m ∣ p → m = 1 :=
and_congr_right $ λ p2, forall_congr $ λ m,
⟨λ h l d, (h d).resolve_right (ne_of_lt l),
λ h d, (decidable.lt_or_eq_of_le $
le_of_dvd (le_of_succ_le p2) d).imp_left (λ l, h l d)⟩
theorem prime_def_lt' {p : ℕ} : prime p ↔ 2 ≤ p ∧ ∀ m, 2 ≤ m → m < p → ¬ m ∣ p :=
prime_def_lt.trans $ and_congr_right $ λ p2, forall_congr $ λ m,
⟨λ h m2 l d, not_lt_of_ge m2 ((h l d).symm ▸ dec_trivial),
λ h l d, begin
rcases m with _|_|m,
{ rw eq_zero_of_zero_dvd d at p2, revert p2, exact dec_trivial },
{ refl },
{ exact (h dec_trivial l).elim d }
end⟩
theorem prime_def_le_sqrt {p : ℕ} : prime p ↔ 2 ≤ p ∧
∀ m, 2 ≤ m → m ≤ sqrt p → ¬ m ∣ p :=
prime_def_lt'.trans $ and_congr_right $ λ p2,
⟨λ a m m2 l, a m m2 $ lt_of_le_of_lt l $ sqrt_lt_self p2,
λ a, have ∀ {m k}, m ≤ k → 1 < m → p ≠ m * k, from
λ m k mk m1 e, a m m1
(le_sqrt.2 (e.symm ▸ mul_le_mul_left m mk)) ⟨k, e⟩,
λ m m2 l ⟨k, e⟩, begin
cases (le_total m k) with mk km,
{ exact this mk m2 e },
{ rw [mul_comm] at e,
refine this km (lt_of_mul_lt_mul_right _ (zero_le m)) e,
rwa [one_mul, ← e] }
end⟩
/--
This instance is slower than the instance `decidable_prime` defined below,
but has the advantage that it works in the kernel.
If you need to prove that a particular number is prime, in any case
you should not use `dec_trivial`, but rather `by norm_num`, which is
much faster.
-/
def decidable_prime_1 (p : ℕ) : decidable (prime p) :=
decidable_of_iff' _ prime_def_lt'
local attribute [instance] decidable_prime_1
lemma prime.ne_zero {n : ℕ} (h : prime n) : n ≠ 0 :=
by { rintro rfl, revert h, dec_trivial }
theorem prime.pos {p : ℕ} (pp : prime p) : 0 < p :=
lt_of_succ_lt pp.one_lt
theorem not_prime_zero : ¬ prime 0 := dec_trivial
theorem not_prime_one : ¬ prime 1 := dec_trivial
theorem prime_two : prime 2 := dec_trivial
theorem prime_three : prime 3 := dec_trivial
theorem prime.pred_pos {p : ℕ} (pp : prime p) : 0 < pred p :=
lt_pred_iff.2 pp.one_lt
theorem succ_pred_prime {p : ℕ} (pp : prime p) : succ (pred p) = p :=
succ_pred_eq_of_pos pp.pos
theorem dvd_prime {p m : ℕ} (pp : prime p) : m ∣ p ↔ m = 1 ∨ m = p :=
⟨λ d, pp.2 m d, λ h, h.elim (λ e, e.symm ▸ one_dvd _) (λ e, e.symm ▸ dvd_refl _)⟩
theorem dvd_prime_two_le {p m : ℕ} (pp : prime p) (H : 2 ≤ m) : m ∣ p ↔ m = p :=
(dvd_prime pp).trans $ or_iff_right_of_imp $ not.elim $ ne_of_gt H
theorem prime_dvd_prime_iff_eq {p q : ℕ} (pp : p.prime) (qp : q.prime) : p ∣ q ↔ p = q :=
dvd_prime_two_le qp (prime.two_le pp)
theorem prime.not_dvd_one {p : ℕ} (pp : prime p) : ¬ p ∣ 1
| d := (not_le_of_gt pp.one_lt) $ le_of_dvd dec_trivial d
theorem not_prime_mul {a b : ℕ} (a1 : 1 < a) (b1 : 1 < b) : ¬ prime (a * b) :=
λ h, ne_of_lt (nat.mul_lt_mul_of_pos_left b1 (lt_of_succ_lt a1)) $
by simpa using (dvd_prime_two_le h a1).1 (dvd_mul_right _ _)
section min_fac
private lemma min_fac_lemma (n k : ℕ) (h : ¬ n < k * k) :
sqrt n - k < sqrt n + 2 - k :=
(nat.sub_lt_sub_right_iff $ le_sqrt.2 $ le_of_not_gt h).2 $
nat.lt_add_of_pos_right dec_trivial
def min_fac_aux (n : ℕ) : ℕ → ℕ | k :=
if h : n < k * k then n else
if k ∣ n then k else
have _, from min_fac_lemma n k h,
min_fac_aux (k + 2)
using_well_founded {rel_tac :=
λ _ _, `[exact ⟨_, measure_wf (λ k, sqrt n + 2 - k)⟩]}
/-- Returns the smallest prime factor of `n ≠ 1`. -/
def min_fac : ℕ → ℕ
| 0 := 2
| 1 := 1
| (n+2) := if 2 ∣ n then 2 else min_fac_aux (n + 2) 3
@[simp] theorem min_fac_zero : min_fac 0 = 2 := rfl
@[simp] theorem min_fac_one : min_fac 1 = 1 := rfl
theorem min_fac_eq : ∀ n, min_fac n = if 2 ∣ n then 2 else min_fac_aux n 3
| 0 := rfl
| 1 := by simp [show 2≠1, from dec_trivial]; rw min_fac_aux; refl
| (n+2) :=
have 2 ∣ n + 2 ↔ 2 ∣ n, from
(nat.dvd_add_iff_left (by refl)).symm,
by simp [min_fac, this]; congr
private def min_fac_prop (n k : ℕ) :=
2 ≤ k ∧ k ∣ n ∧ ∀ m, 2 ≤ m → m ∣ n → k ≤ m
theorem min_fac_aux_has_prop {n : ℕ} (n2 : 2 ≤ n) (nd2 : ¬ 2 ∣ n) :
∀ k i, k = 2*i+3 → (∀ m, 2 ≤ m → m ∣ n → k ≤ m) → min_fac_prop n (min_fac_aux n k)
| k := λ i e a, begin
rw min_fac_aux,
by_cases h : n < k*k; simp [h],
{ have pp : prime n :=
prime_def_le_sqrt.2 ⟨n2, λ m m2 l d,
not_lt_of_ge l $ lt_of_lt_of_le (sqrt_lt.2 h) (a m m2 d)⟩,
from ⟨n2, dvd_refl _, λ m m2 d, le_of_eq
((dvd_prime_two_le pp m2).1 d).symm⟩ },
have k2 : 2 ≤ k, { subst e, exact dec_trivial },
by_cases dk : k ∣ n; simp [dk],
{ exact ⟨k2, dk, a⟩ },
{ refine have _, from min_fac_lemma n k h,
min_fac_aux_has_prop (k+2) (i+1)
(by simp [e, left_distrib]) (λ m m2 d, _),
cases nat.eq_or_lt_of_le (a m m2 d) with me ml,
{ subst me, contradiction },
apply (nat.eq_or_lt_of_le ml).resolve_left, intro me,
rw [← me, e] at d, change 2 * (i + 2) ∣ n at d,
have := dvd_of_mul_right_dvd d, contradiction }
end
using_well_founded {rel_tac :=
λ _ _, `[exact ⟨_, measure_wf (λ k, sqrt n + 2 - k)⟩]}
theorem min_fac_has_prop {n : ℕ} (n1 : n ≠ 1) :
min_fac_prop n (min_fac n) :=
begin
by_cases n0 : n = 0, {simp [n0, min_fac_prop, ge]},
have n2 : 2 ≤ n, { revert n0 n1, rcases n with _|_|_; exact dec_trivial },
simp [min_fac_eq],
by_cases d2 : 2 ∣ n; simp [d2],
{ exact ⟨le_refl _, d2, λ k k2 d, k2⟩ },
{ refine min_fac_aux_has_prop n2 d2 3 0 rfl
(λ m m2 d, (nat.eq_or_lt_of_le m2).resolve_left (mt _ d2)),
exact λ e, e.symm ▸ d }
end
theorem min_fac_dvd (n : ℕ) : min_fac n ∣ n :=
by by_cases n1 : n = 1;
[exact n1.symm ▸ dec_trivial, exact (min_fac_has_prop n1).2.1]
theorem min_fac_prime {n : ℕ} (n1 : n ≠ 1) : prime (min_fac n) :=
let ⟨f2, fd, a⟩ := min_fac_has_prop n1 in
prime_def_lt'.2 ⟨f2, λ m m2 l d, not_le_of_gt l (a m m2 (dvd_trans d fd))⟩
theorem min_fac_le_of_dvd {n : ℕ} : ∀ {m : ℕ}, 2 ≤ m → m ∣ n → min_fac n ≤ m :=
by by_cases n1 : n = 1;
[exact λ m m2 d, n1.symm ▸ le_trans dec_trivial m2,
exact (min_fac_has_prop n1).2.2]
theorem min_fac_pos (n : ℕ) : 0 < min_fac n :=
by by_cases n1 : n = 1;
[exact n1.symm ▸ dec_trivial, exact (min_fac_prime n1).pos]
theorem min_fac_le {n : ℕ} (H : 0 < n) : min_fac n ≤ n :=
le_of_dvd H (min_fac_dvd n)
theorem prime_def_min_fac {p : ℕ} : prime p ↔ 2 ≤ p ∧ min_fac p = p :=
⟨λ pp, ⟨pp.two_le,
let ⟨f2, fd, a⟩ := min_fac_has_prop $ ne_of_gt pp.one_lt in
((dvd_prime pp).1 fd).resolve_left (ne_of_gt f2)⟩,
λ ⟨p2, e⟩, e ▸ min_fac_prime (ne_of_gt p2)⟩
/--
This instance is faster in the virtual machine than `decidable_prime_1`,
but slower in the kernel.
If you need to prove that a particular number is prime, in any case
you should not use `dec_trivial`, but rather `by norm_num`, which is
much faster.
-/
instance decidable_prime (p : ℕ) : decidable (prime p) :=
decidable_of_iff' _ prime_def_min_fac
theorem not_prime_iff_min_fac_lt {n : ℕ} (n2 : 2 ≤ n) : ¬ prime n ↔ min_fac n < n :=
(not_congr $ prime_def_min_fac.trans $ and_iff_right n2).trans $
(lt_iff_le_and_ne.trans $ and_iff_right $ min_fac_le $ le_of_succ_le n2).symm
lemma min_fac_le_div {n : ℕ} (pos : 0 < n) (np : ¬ prime n) : min_fac n ≤ n / min_fac n :=
match min_fac_dvd n with
| ⟨0, h0⟩ := absurd pos $ by rw [h0, mul_zero]; exact dec_trivial
| ⟨1, h1⟩ :=
begin
rw mul_one at h1,
rw [prime_def_min_fac, not_and_distrib, ← h1, eq_self_iff_true, not_true, or_false, not_le] at np,
rw [le_antisymm (le_of_lt_succ np) (succ_le_of_lt pos), min_fac_one, nat.div_one]
end
| ⟨(x+2), hx⟩ :=
begin
conv_rhs { congr, rw hx },
rw [nat.mul_div_cancel_left _ (min_fac_pos _)],
exact min_fac_le_of_dvd dec_trivial ⟨min_fac n, by rwa mul_comm⟩
end
end
/--
The square of the smallest prime factor of a composite number `n` is at most `n`.
-/
lemma min_fac_sq_le_self {n : ℕ} (w : 0 < n) (h : ¬ prime n) : (min_fac n)^2 ≤ n :=
have t : (min_fac n) ≤ (n/min_fac n) := min_fac_le_div w h,
calc
(min_fac n)^2 = (min_fac n) * (min_fac n) : pow_two (min_fac n)
... ≤ (n/min_fac n) * (min_fac n) : mul_le_mul_right (min_fac n) t
... ≤ n : div_mul_le_self n (min_fac n)
@[simp]
lemma min_fac_eq_one_iff {n : ℕ} : min_fac n = 1 ↔ n = 1 :=
begin
split,
{ intro h,
by_contradiction,
have := min_fac_prime a,
rw h at this,
exact not_prime_one this, },
{ rintro rfl, refl, }
end
@[simp]
lemma min_fac_eq_two_iff (n : ℕ) : min_fac n = 2 ↔ 2 ∣ n :=
begin
split,
{ intro h,
convert min_fac_dvd _,
rw h, },
{ intro h,
have ub := min_fac_le_of_dvd (le_refl 2) h,
have lb := min_fac_pos n,
-- If `interval_cases` and `norm_num` were already available here,
-- this would be easy and pleasant.
-- But they aren't, so it isn't.
cases h : n.min_fac with m,
{ rw h at lb, cases lb, },
{ cases m with m,
{ simp at h, subst h, cases h with n h, cases n; cases h, },
{ cases m with m,
{ refl, },
{ rw h at ub,
cases ub with _ ub, cases ub with _ ub, cases ub, } } } }
end
end min_fac
theorem exists_dvd_of_not_prime {n : ℕ} (n2 : 2 ≤ n) (np : ¬ prime n) :
∃ m, m ∣ n ∧ m ≠ 1 ∧ m ≠ n :=
⟨min_fac n, min_fac_dvd _, ne_of_gt (min_fac_prime (ne_of_gt n2)).one_lt,
ne_of_lt $ (not_prime_iff_min_fac_lt n2).1 np⟩
theorem exists_dvd_of_not_prime2 {n : ℕ} (n2 : 2 ≤ n) (np : ¬ prime n) :
∃ m, m ∣ n ∧ 2 ≤ m ∧ m < n :=
⟨min_fac n, min_fac_dvd _, (min_fac_prime (ne_of_gt n2)).two_le,
(not_prime_iff_min_fac_lt n2).1 np⟩
theorem exists_prime_and_dvd {n : ℕ} (n2 : 2 ≤ n) : ∃ p, prime p ∧ p ∣ n :=
⟨min_fac n, min_fac_prime (ne_of_gt n2), min_fac_dvd _⟩
/-- Euclid's theorem. There exist infinitely many prime numbers.
Here given in the form: for every `n`, there exists a prime number `p ≥ n`. -/
theorem exists_infinite_primes (n : ℕ) : ∃ p, n ≤ p ∧ prime p :=
let p := min_fac (fact n + 1) in
have f1 : fact n + 1 ≠ 1, from ne_of_gt $ succ_lt_succ $ fact_pos _,
have pp : prime p, from min_fac_prime f1,
have np : n ≤ p, from le_of_not_ge $ λ h,
have h₁ : p ∣ fact n, from dvd_fact (min_fac_pos _) h,
have h₂ : p ∣ 1, from (nat.dvd_add_iff_right h₁).2 (min_fac_dvd _),
pp.not_dvd_one h₂,
⟨p, np, pp⟩
lemma prime.eq_two_or_odd {p : ℕ} (hp : prime p) : p = 2 ∨ p % 2 = 1 :=
(nat.mod_two_eq_zero_or_one p).elim
(λ h, or.inl ((hp.2 2 (dvd_of_mod_eq_zero h)).resolve_left dec_trivial).symm)
or.inr
theorem factors_lemma {k} : (k+2) / min_fac (k+2) < k+2 :=
div_lt_self dec_trivial (min_fac_prime dec_trivial).one_lt
/-- `factors n` is the prime factorization of `n`, listed in increasing order. -/
def factors : ℕ → list ℕ
| 0 := []
| 1 := []
| n@(k+2) :=
let m := min_fac n in have n / m < n := factors_lemma,
m :: factors (n / m)
lemma mem_factors : ∀ {n p}, p ∈ factors n → prime p
| 0 := λ p, false.elim
| 1 := λ p, false.elim
| n@(k+2) := λ p h,
let m := min_fac n in have n / m < n := factors_lemma,
have h₁ : p = m ∨ p ∈ (factors (n / m)) :=
(list.mem_cons_iff _ _ _).1 h,
or.cases_on h₁ (λ h₂, h₂.symm ▸ min_fac_prime dec_trivial)
mem_factors
lemma prod_factors : ∀ {n}, 0 < n → list.prod (factors n) = n
| 0 := (lt_irrefl _).elim
| 1 := λ h, rfl
| n@(k+2) := λ h,
let m := min_fac n in have n / m < n := factors_lemma,
show list.prod (m :: factors (n / m)) = n, from
have h₁ : 0 < n / m :=
nat.pos_of_ne_zero $ λ h,
have n = 0 * m := (nat.div_eq_iff_eq_mul_left (min_fac_pos _) (min_fac_dvd _)).1 h,
by rw zero_mul at this; exact (show k + 2 ≠ 0, from dec_trivial) this,
by rw [list.prod_cons, prod_factors h₁, nat.mul_div_cancel' (min_fac_dvd _)]
lemma factors_prime {p : ℕ} (hp : nat.prime p) : p.factors = [p] :=
begin
have : p = (p - 2) + 2 := (nat.sub_eq_iff_eq_add hp.1).mp rfl,
rw [this, nat.factors],
simp only [eq.symm this],
have : nat.min_fac p = p := (nat.prime_def_min_fac.mp hp).2,
split,
{ exact this, },
{ simp only [this, nat.factors, nat.div_self (nat.prime.pos hp)], },
end
/-- `factors` can be constructed inductively by extracting `min_fac`, for sufficiently large `n`. -/
lemma factors_add_two (n : ℕ) :
factors (n+2) = (min_fac (n+2)) :: (factors ((n+2) / (min_fac (n+2)))) := rfl
theorem prime.coprime_iff_not_dvd {p n : ℕ} (pp : prime p) : coprime p n ↔ ¬ p ∣ n :=
⟨λ co d, pp.not_dvd_one $ co.dvd_of_dvd_mul_left (by simp [d]),
λ nd, coprime_of_dvd $ λ m m2 mp, ((dvd_prime_two_le pp m2).1 mp).symm ▸ nd⟩
theorem prime.dvd_iff_not_coprime {p n : ℕ} (pp : prime p) : p ∣ n ↔ ¬ coprime p n :=
iff_not_comm.2 pp.coprime_iff_not_dvd
theorem prime.not_coprime_iff_dvd {m n : ℕ} :
¬ coprime m n ↔ ∃p, prime p ∧ p ∣ m ∧ p ∣ n :=
begin
apply iff.intro,
{ intro h,
exact ⟨min_fac (gcd m n), min_fac_prime h,
(dvd.trans (min_fac_dvd (gcd m n)) (gcd_dvd_left m n)),
(dvd.trans (min_fac_dvd (gcd m n)) (gcd_dvd_right m n))⟩ },
{ intro h,
cases h with p hp,
apply nat.not_coprime_of_dvd_of_dvd (prime.one_lt hp.1) hp.2.1 hp.2.2 }
end
theorem prime.dvd_mul {p m n : ℕ} (pp : prime p) : p ∣ m * n ↔ p ∣ m ∨ p ∣ n :=
⟨λ H, or_iff_not_imp_left.2 $ λ h,
(pp.coprime_iff_not_dvd.2 h).dvd_of_dvd_mul_left H,
or.rec (λ h, dvd_mul_of_dvd_left h _) (λ h, dvd_mul_of_dvd_right h _)⟩
theorem prime.not_dvd_mul {p m n : ℕ} (pp : prime p)
(Hm : ¬ p ∣ m) (Hn : ¬ p ∣ n) : ¬ p ∣ m * n :=
mt pp.dvd_mul.1 $ by simp [Hm, Hn]
theorem prime.dvd_of_dvd_pow {p m n : ℕ} (pp : prime p) (h : p ∣ m^n) : p ∣ m :=
by induction n with n IH;
[exact pp.not_dvd_one.elim h,
exact (pp.dvd_mul.1 h).elim id IH]
lemma prime.pow_not_prime {x n : ℕ} (hn : 2 ≤ n) : ¬ (x ^ n).prime :=
λ hp, (hp.2 x $ dvd_trans ⟨x, nat.pow_two _⟩ (nat.pow_dvd_pow _ hn)).elim
(λ hx1, hp.ne_one $ hx1.symm ▸ nat.one_pow _)
(λ hxn, lt_irrefl x $ calc x = x ^ 1 : (nat.pow_one _).symm
... < x ^ n : nat.pow_right_strict_mono (hxn.symm ▸ hp.two_le) hn
... = x : hxn.symm)
lemma prime.mul_eq_prime_pow_two_iff {x y p : ℕ} (hp : p.prime) (hx : x ≠ 1) (hy : y ≠ 1) :
x * y = p ^ 2 ↔ x = p ∧ y = p :=
⟨λ h, have pdvdxy : p ∣ x * y, by rw h; simp [nat.pow_two],
begin
wlog := hp.dvd_mul.1 pdvdxy using x y,
cases case with a ha,
have hap : a ∣ p, from ⟨y, by rwa [ha, nat.pow_two,
mul_assoc, nat.mul_right_inj hp.pos, eq_comm] at h⟩,
exact ((nat.dvd_prime hp).1 hap).elim
(λ _, by clear_aux_decl; simp [*, nat.pow_two, nat.mul_right_inj hp.pos] at *
{contextual := tt})
(λ _, by clear_aux_decl; simp [*, nat.pow_two, mul_comm, mul_assoc,
nat.mul_right_inj hp.pos, nat.mul_right_eq_self_iff hp.pos] at *
{contextual := tt})
end,
λ ⟨h₁, h₂⟩, h₁.symm ▸ h₂.symm ▸ (nat.pow_two _).symm⟩
lemma prime.dvd_fact : ∀ {n p : ℕ} (hp : prime p), p ∣ n.fact ↔ p ≤ n
| 0 p hp := iff_of_false hp.not_dvd_one (not_le_of_lt hp.pos)
| (n+1) p hp := begin
rw [fact_succ, hp.dvd_mul, prime.dvd_fact hp],
exact ⟨λ h, h.elim (le_of_dvd (succ_pos _)) le_succ_of_le,
λ h, (_root_.lt_or_eq_of_le h).elim (or.inr ∘ le_of_lt_succ)
(λ h, or.inl $ by rw h)⟩
end
theorem prime.coprime_pow_of_not_dvd {p m a : ℕ} (pp : prime p) (h : ¬ p ∣ a) : coprime a (p^m) :=
(pp.coprime_iff_not_dvd.2 h).symm.pow_right _
theorem coprime_primes {p q : ℕ} (pp : prime p) (pq : prime q) : coprime p q ↔ p ≠ q :=
pp.coprime_iff_not_dvd.trans $ not_congr $ dvd_prime_two_le pq pp.two_le
theorem coprime_pow_primes {p q : ℕ} (n m : ℕ) (pp : prime p) (pq : prime q) (h : p ≠ q) :
coprime (p^n) (q^m) :=
((coprime_primes pp pq).2 h).pow _ _
theorem coprime_or_dvd_of_prime {p} (pp : prime p) (i : ℕ) : coprime p i ∨ p ∣ i :=
by rw [pp.dvd_iff_not_coprime]; apply em
theorem dvd_prime_pow {p : ℕ} (pp : prime p) {m i : ℕ} : i ∣ (p^m) ↔ ∃ k ≤ m, i = p^k :=
begin
induction m with m IH generalizing i, {simp [pow_succ, le_zero_iff] at *},
by_cases p ∣ i,
{ cases h with a e, subst e,
rw [nat.pow_succ, mul_comm (p^m) p, nat.mul_dvd_mul_iff_left pp.pos, IH],
split; intro h; rcases h with ⟨k, h, e⟩,
{ exact ⟨succ k, succ_le_succ h, by rw [e]; refl⟩ },
cases k with k,
{ apply pp.not_dvd_one.elim,
simp at e, rw ← e, apply dvd_mul_right },
{ refine ⟨k, le_of_succ_le_succ h, _⟩,
rwa [mul_comm, nat.pow_succ, nat.mul_left_inj pp.pos] at e } },
{ split; intro d,
{ rw (pp.coprime_pow_of_not_dvd h).eq_one_of_dvd d,
exact ⟨0, zero_le _, rfl⟩ },
{ rcases d with ⟨k, l, e⟩,
rw e, exact pow_dvd_pow _ l } }
end
/--
If `p` is prime,
and `a` doesn't divide `p^k`, but `a` does divide `p^(k+1)`
then `a = p^(k+1)`.
-/
lemma eq_prime_pow_of_dvd_least_prime_pow
{a p k : ℕ} (pp : prime p) (h₁ : ¬(a ∣ p^k)) (h₂ : a ∣ p^(k+1)) :
a = p^(k+1) :=
begin
obtain ⟨l, ⟨h, rfl⟩⟩ := (dvd_prime_pow pp).1 h₂,
congr,
exact le_antisymm h (not_le.1 ((not_congr (pow_dvd_pow_iff_le_right (prime.one_lt pp))).1 h₁)),
end
section
open list
lemma mem_list_primes_of_dvd_prod {p : ℕ} (hp : prime p) :
∀ {l : list ℕ}, (∀ p ∈ l, prime p) → p ∣ prod l → p ∈ l
| [] := λ h₁ h₂, absurd h₂ (prime.not_dvd_one hp)
| (q :: l) := λ h₁ h₂,
have h₃ : p ∣ q * prod l := @prod_cons _ _ l q ▸ h₂,
have hq : prime q := h₁ q (mem_cons_self _ _),
or.cases_on ((prime.dvd_mul hp).1 h₃)
(λ h, by rw [prime.dvd_iff_not_coprime hp, coprime_primes hp hq, ne.def, not_not] at h;
exact h ▸ mem_cons_self _ _)
(λ h, have hl : ∀ p ∈ l, prime p := λ p hlp, h₁ p ((mem_cons_iff _ _ _).2 (or.inr hlp)),
(mem_cons_iff _ _ _).2 (or.inr (mem_list_primes_of_dvd_prod hl h)))
lemma mem_factors_iff_dvd {n p : ℕ} (hn : 0 < n) (hp : prime p) : p ∈ factors n ↔ p ∣ n :=
⟨λ h, prod_factors hn ▸ list.dvd_prod h,
λ h, mem_list_primes_of_dvd_prod hp (@mem_factors n) ((prod_factors hn).symm ▸ h)⟩
lemma perm_of_prod_eq_prod : ∀ {l₁ l₂ : list ℕ}, prod l₁ = prod l₂ →
(∀ p ∈ l₁, prime p) → (∀ p ∈ l₂, prime p) → l₁ ~ l₂
| [] [] _ _ _ := perm.nil
| [] (a :: l) h₁ h₂ h₃ :=
have ha : a ∣ 1 := @prod_nil ℕ _ ▸ h₁.symm ▸ (@prod_cons _ _ l a).symm ▸ dvd_mul_right _ _,
absurd ha (prime.not_dvd_one (h₃ a (mem_cons_self _ _)))
| (a :: l) [] h₁ h₂ h₃ :=
have ha : a ∣ 1 := @prod_nil ℕ _ ▸ h₁ ▸ (@prod_cons _ _ l a).symm ▸ dvd_mul_right _ _,
absurd ha (prime.not_dvd_one (h₂ a (mem_cons_self _ _)))
| (a :: l₁) (b :: l₂) h hl₁ hl₂ :=
have hl₁' : ∀ p ∈ l₁, prime p := λ p hp, hl₁ p (mem_cons_of_mem _ hp),
have hl₂' : ∀ p ∈ (b :: l₂).erase a, prime p := λ p hp, hl₂ p (mem_of_mem_erase hp),
have ha : a ∈ (b :: l₂) := mem_list_primes_of_dvd_prod (hl₁ a (mem_cons_self _ _)) hl₂
(h ▸ by rw prod_cons; exact dvd_mul_right _ _),
have hb : b :: l₂ ~ a :: (b :: l₂).erase a := perm_cons_erase ha,
have hl : prod l₁ = prod ((b :: l₂).erase a) :=
(nat.mul_right_inj (prime.pos (hl₁ a (mem_cons_self _ _)))).1 $
by rwa [← prod_cons, ← prod_cons, ← hb.prod_eq],
perm.trans ((perm_of_prod_eq_prod hl hl₁' hl₂').cons _) hb.symm
lemma factors_unique {n : ℕ} {l : list ℕ} (h₁ : prod l = n) (h₂ : ∀ p ∈ l, prime p) : l ~ factors n :=
have hn : 0 < n := nat.pos_of_ne_zero $ λ h, begin
rw h at *, clear h,
induction l with a l hi,
{ exact absurd h₁ dec_trivial },
{ rw prod_cons at h₁,
exact nat.mul_ne_zero (ne_of_lt (prime.pos (h₂ a (mem_cons_self _ _)))).symm
(hi (λ p hp, h₂ p (mem_cons_of_mem _ hp))) h₁ }
end,
perm_of_prod_eq_prod (by rwa prod_factors hn) h₂ (@mem_factors _)
end
lemma succ_dvd_or_succ_dvd_of_succ_sum_dvd_mul {p : ℕ} (p_prime : prime p) {m n k l : ℕ}
(hpm : p ^ k ∣ m) (hpn : p ^ l ∣ n) (hpmn : p ^ (k+l+1) ∣ m*n) :
p ^ (k+1) ∣ m ∨ p ^ (l+1) ∣ n :=
have hpd : p^(k+l)*p ∣ m*n, by rwa pow_succ' at hpmn,
have hpd2 : p ∣ (m*n) / p ^ (k+l), from dvd_div_of_mul_dvd hpd,
have hpd3 : p ∣ (m*n) / (p^k * p^l), by simpa [nat.pow_add] using hpd2,
have hpd4 : p ∣ (m / p^k) * (n / p^l), by simpa [nat.div_mul_div hpm hpn] using hpd3,
have hpd5 : p ∣ (m / p^k) ∨ p ∣ (n / p^l), from (prime.dvd_mul p_prime).1 hpd4,
suffices p^k*p ∣ m ∨ p^l*p ∣ n, by rwa [pow_succ', pow_succ'],
hpd5.elim
(assume : p ∣ m / p ^ k, or.inl $ mul_dvd_of_dvd_div hpm this)
(assume : p ∣ n / p ^ l, or.inr $ mul_dvd_of_dvd_div hpn this)
/-- The type of prime numbers -/
def primes := {p : ℕ // p.prime}
namespace primes
instance : has_repr nat.primes := ⟨λ p, repr p.val⟩
instance : inhabited primes := ⟨⟨2, prime_two⟩⟩
instance coe_nat : has_coe nat.primes ℕ := ⟨subtype.val⟩
theorem coe_nat_inj (p q : nat.primes) : (p : ℕ) = (q : ℕ) → p = q :=
λ h, subtype.eq h
end primes
instance monoid.prime_pow {α : Type*} [monoid α] : has_pow α primes := ⟨λ x p, x^p.val⟩
end nat
|
d1d532cb2aaccfbb40b157cd9a1403fc9cda5506 | 35677d2df3f081738fa6b08138e03ee36bc33cad | /src/algebra/category/Mon/basic.lean | 696381ac6473acd5321a8e77c9f6c4e17adac940 | [
"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 | 7,293 | lean | /-
Copyright (c) 2018 Scott Morrison. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Scott Morrison
-/
import category_theory.concrete_category
import algebra.group.hom
import data.equiv.mul_add
import algebra.punit_instances
/-!
# Category instances for monoid, add_monoid, comm_monoid, and add_comm_monoid.
We introduce the bundled categories:
* `Mon`
* `AddMon`
* `CommMon`
* `AddCommMon`
along with the relevant forgetful functors between them.
## Implementation notes
See the note [locally reducible category instances].
-/
/--
We make SemiRing (and the other categories) locally reducible in order
to define its instances. This is because writing, for example,
```
instance : concrete_category SemiRing := by { delta SemiRing, apply_instance }
```
results in an instance of the form `id (bundled_hom.concrete_category _)`
and this `id`, not being [reducible], prevents a later instance search
(once SemiRing is no longer reducible) from seeing that the morphisms of
SemiRing are really semiring morphisms (`→+*`), and therefore have a coercion
to functions, for example. It's especially important that the `has_coe_to_sort`
instance not contain an extra `id` as we want the `semiring ↥R` instance to
also apply to `semiring R.α` (it seems to be impractical to guarantee that
we always access `R.α` through the coercion rather than directly).
TODO: Probably @[derive] should be able to create instances of the
required form (without `id`), and then we could use that instead of
this obscure `local attribute [reducible]` method.
-/
library_note "locally reducible category instances"
universes u v
open category_theory
/-- The category of monoids and monoid morphisms. -/
@[to_additive AddMon]
def Mon : Type (u+1) := bundled monoid
namespace Mon
/-- Construct a bundled Mon from the underlying type and typeclass. -/
@[to_additive]
def of (M : Type u) [monoid M] : Mon := bundled.of M
@[to_additive]
instance : inhabited Mon :=
-- The default instance for `monoid punit` is derived via `punit.comm_ring`,
-- which breaks to_additive.
⟨@of punit $ @group.to_monoid _ $ @comm_group.to_group _ punit.comm_group⟩
local attribute [reducible] Mon
@[to_additive]
instance : has_coe_to_sort Mon := infer_instance -- short-circuit type class inference
@[to_additive add_monoid]
instance (M : Mon) : monoid M := M.str
@[to_additive]
instance bundled_hom : bundled_hom @monoid_hom :=
⟨@monoid_hom.to_fun, @monoid_hom.id, @monoid_hom.comp, @monoid_hom.coe_inj⟩
@[to_additive]
instance : category Mon := infer_instance -- short-circuit type class inference
@[to_additive]
instance : concrete_category Mon := infer_instance -- short-circuit type class inference
end Mon
/-- The category of commutative monoids and monoid morphisms. -/
@[to_additive AddCommMon]
def CommMon : Type (u+1) := induced_category Mon (bundled.map @comm_monoid.to_monoid)
namespace CommMon
/-- Construct a bundled CommMon from the underlying type and typeclass. -/
@[to_additive]
def of (M : Type u) [comm_monoid M] : CommMon := bundled.of M
@[to_additive]
instance : inhabited CommMon :=
-- The default instance for `comm_monoid punit` is derived via `punit.comm_ring`,
-- which breaks to_additive.
⟨@of punit $ @comm_group.to_comm_monoid _ punit.comm_group⟩
local attribute [reducible] CommMon
@[to_additive]
instance : has_coe_to_sort CommMon := infer_instance -- short-circuit type class inference
@[to_additive add_comm_monoid]
instance (M : CommMon) : comm_monoid M := M.str
@[to_additive]
instance : category CommMon := infer_instance -- short-circuit type class inference
@[to_additive]
instance : concrete_category CommMon := infer_instance -- short-circuit type class inference
@[to_additive has_forget_to_AddMon]
instance has_forget_to_Mon : has_forget₂ CommMon Mon := infer_instance -- short-circuit type class inference
end CommMon
-- We verify that the coercions of morphisms to functions work correctly:
example {R S : Mon} (f : R ⟶ S) : (R : Type) → (S : Type) := f
example {R S : CommMon} (f : R ⟶ S) : (R : Type) → (S : Type) := f
variables {X Y : Type u}
section
variables [monoid X] [monoid Y]
/-- Build an isomorphism in the category `Mon` from a `mul_equiv` between `monoid`s. -/
@[to_additive add_equiv.to_AddMon_iso "Build an isomorphism in the category `AddMon` from a `add_equiv` between `add_monoid`s."]
def mul_equiv.to_Mon_iso (e : X ≃* Y) : Mon.of X ≅ Mon.of Y :=
{ hom := e.to_monoid_hom,
inv := e.symm.to_monoid_hom }
@[simp, to_additive add_equiv.to_AddMon_iso_hom]
lemma mul_equiv.to_Mon_iso_hom {e : X ≃* Y} : e.to_Mon_iso.hom = e.to_monoid_hom := rfl
@[simp, to_additive add_equiv.to_AddMon_iso_inv]
lemma mul_equiv.to_Mon_iso_inv {e : X ≃* Y} : e.to_Mon_iso.inv = e.symm.to_monoid_hom := rfl
end
section
variables [comm_monoid X] [comm_monoid Y]
/-- Build an isomorphism in the category `CommMon` from a `mul_equiv` between `comm_monoid`s. -/
@[to_additive add_equiv.to_AddCommMon_iso "Build an isomorphism in the category `AddCommMon` from a `add_equiv` between `add_comm_monoid`s."]
def mul_equiv.to_CommMon_iso (e : X ≃* Y) : CommMon.of X ≅ CommMon.of Y :=
{ hom := e.to_monoid_hom,
inv := e.symm.to_monoid_hom }
@[simp, to_additive add_equiv.to_AddCommMon_iso_hom]
lemma mul_equiv.to_CommMon_iso_hom {e : X ≃* Y} : e.to_CommMon_iso.hom = e.to_monoid_hom := rfl
@[simp, to_additive add_equiv.to_AddCommMon_iso_inv]
lemma mul_equiv.to_CommMon_iso_inv {e : X ≃* Y} : e.to_CommMon_iso.inv = e.symm.to_monoid_hom := rfl
end
namespace category_theory.iso
/-- Build a `mul_equiv` from an isomorphism in the category `Mon`. -/
@[to_additive AddMond_iso_to_add_equiv "Build an `add_equiv` from an isomorphism in the category `AddMon`."]
def Mon_iso_to_mul_equiv {X Y : Mon.{u}} (i : X ≅ Y) : X ≃* Y :=
{ to_fun := i.hom,
inv_fun := i.inv,
left_inv := by tidy,
right_inv := by tidy,
map_mul' := by tidy }.
/-- Build a `mul_equiv` from an isomorphism in the category `CommMon`. -/
@[to_additive AddCommMon_iso_to_add_equiv "Build an `add_equiv` from an isomorphism in the category `AddCommMon`."]
def CommMon_iso_to_mul_equiv {X Y : CommMon.{u}} (i : X ≅ Y) : X ≃* Y :=
{ to_fun := i.hom,
inv_fun := i.inv,
left_inv := by tidy,
right_inv := by tidy,
map_mul' := by tidy }.
end category_theory.iso
/-- multiplicative equivalences between `monoid`s are the same as (isomorphic to) isomorphisms in `Mon` -/
@[to_additive add_equiv_iso_AddMon_iso "additive equivalences between `add_monoid`s are the same as (isomorphic to) isomorphisms in `AddMon`"]
def mul_equiv_iso_Mon_iso {X Y : Type u} [monoid X] [monoid Y] :
(X ≃* Y) ≅ (Mon.of X ≅ Mon.of Y) :=
{ hom := λ e, e.to_Mon_iso,
inv := λ i, i.Mon_iso_to_mul_equiv, }
/-- multiplicative equivalences between `comm_monoid`s are the same as (isomorphic to) isomorphisms in `CommMon` -/
@[to_additive add_equiv_iso_AddCommMon_iso "additive equivalences between `add_comm_monoid`s are the same as (isomorphic to) isomorphisms in `AddCommMon`"]
def mul_equiv_iso_CommMon_iso {X Y : Type u} [comm_monoid X] [comm_monoid Y] :
(X ≃* Y) ≅ (CommMon.of X ≅ CommMon.of Y) :=
{ hom := λ e, e.to_CommMon_iso,
inv := λ i, i.CommMon_iso_to_mul_equiv, }
|
587e169b21460642d1133d15583e3bfd7d9e5b9c | 592ee40978ac7604005a4e0d35bbc4b467389241 | /Library/generated/mathscheme-lean/InvolutivePointedMagmaSig.lean | 033c0255dae4dd0f3516908ff7c1987535016514 | [] | no_license | ysharoda/Deriving-Definitions | 3e149e6641fae440badd35ac110a0bd705a49ad2 | dfecb27572022de3d4aa702cae8db19957523a59 | refs/heads/master | 1,679,127,857,700 | 1,615,939,007,000 | 1,615,939,007,000 | 229,785,731 | 4 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 9,683 | lean | import init.data.nat.basic
import init.data.fin.basic
import data.vector
import .Prelude
open Staged
open nat
open fin
open vector
section InvolutivePointedMagmaSig
structure InvolutivePointedMagmaSig (A : Type) : Type :=
(prim : (A → A))
(e : A)
(op : (A → (A → A)))
open InvolutivePointedMagmaSig
structure Sig (AS : Type) : Type :=
(primS : (AS → AS))
(eS : AS)
(opS : (AS → (AS → AS)))
structure Product (A : Type) : Type :=
(primP : ((Prod A A) → (Prod A A)))
(eP : (Prod A A))
(opP : ((Prod A A) → ((Prod A A) → (Prod A A))))
structure Hom {A1 : Type} {A2 : Type} (In1 : (InvolutivePointedMagmaSig A1)) (In2 : (InvolutivePointedMagmaSig A2)) : Type :=
(hom : (A1 → A2))
(pres_prim : (∀ {x1 : A1} , (hom ((prim In1) x1)) = ((prim In2) (hom x1))))
(pres_e : (hom (e In1)) = (e In2))
(pres_op : (∀ {x1 x2 : A1} , (hom ((op In1) x1 x2)) = ((op In2) (hom x1) (hom x2))))
structure RelInterp {A1 : Type} {A2 : Type} (In1 : (InvolutivePointedMagmaSig A1)) (In2 : (InvolutivePointedMagmaSig A2)) : Type 1 :=
(interp : (A1 → (A2 → Type)))
(interp_prim : (∀ {x1 : A1} {y1 : A2} , ((interp x1 y1) → (interp ((prim In1) x1) ((prim In2) y1)))))
(interp_e : (interp (e In1) (e In2)))
(interp_op : (∀ {x1 x2 : A1} {y1 y2 : A2} , ((interp x1 y1) → ((interp x2 y2) → (interp ((op In1) x1 x2) ((op In2) y1 y2))))))
inductive InvolutivePointedMagmaSigTerm : Type
| primL : (InvolutivePointedMagmaSigTerm → InvolutivePointedMagmaSigTerm)
| eL : InvolutivePointedMagmaSigTerm
| opL : (InvolutivePointedMagmaSigTerm → (InvolutivePointedMagmaSigTerm → InvolutivePointedMagmaSigTerm))
open InvolutivePointedMagmaSigTerm
inductive ClInvolutivePointedMagmaSigTerm (A : Type) : Type
| sing : (A → ClInvolutivePointedMagmaSigTerm)
| primCl : (ClInvolutivePointedMagmaSigTerm → ClInvolutivePointedMagmaSigTerm)
| eCl : ClInvolutivePointedMagmaSigTerm
| opCl : (ClInvolutivePointedMagmaSigTerm → (ClInvolutivePointedMagmaSigTerm → ClInvolutivePointedMagmaSigTerm))
open ClInvolutivePointedMagmaSigTerm
inductive OpInvolutivePointedMagmaSigTerm (n : ℕ) : Type
| v : ((fin n) → OpInvolutivePointedMagmaSigTerm)
| primOL : (OpInvolutivePointedMagmaSigTerm → OpInvolutivePointedMagmaSigTerm)
| eOL : OpInvolutivePointedMagmaSigTerm
| opOL : (OpInvolutivePointedMagmaSigTerm → (OpInvolutivePointedMagmaSigTerm → OpInvolutivePointedMagmaSigTerm))
open OpInvolutivePointedMagmaSigTerm
inductive OpInvolutivePointedMagmaSigTerm2 (n : ℕ) (A : Type) : Type
| v2 : ((fin n) → OpInvolutivePointedMagmaSigTerm2)
| sing2 : (A → OpInvolutivePointedMagmaSigTerm2)
| primOL2 : (OpInvolutivePointedMagmaSigTerm2 → OpInvolutivePointedMagmaSigTerm2)
| eOL2 : OpInvolutivePointedMagmaSigTerm2
| opOL2 : (OpInvolutivePointedMagmaSigTerm2 → (OpInvolutivePointedMagmaSigTerm2 → OpInvolutivePointedMagmaSigTerm2))
open OpInvolutivePointedMagmaSigTerm2
def simplifyCl {A : Type} : ((ClInvolutivePointedMagmaSigTerm A) → (ClInvolutivePointedMagmaSigTerm A))
| (primCl x1) := (primCl (simplifyCl x1))
| eCl := eCl
| (opCl x1 x2) := (opCl (simplifyCl x1) (simplifyCl x2))
| (sing x1) := (sing x1)
def simplifyOpB {n : ℕ} : ((OpInvolutivePointedMagmaSigTerm n) → (OpInvolutivePointedMagmaSigTerm n))
| (primOL x1) := (primOL (simplifyOpB x1))
| eOL := eOL
| (opOL x1 x2) := (opOL (simplifyOpB x1) (simplifyOpB x2))
| (v x1) := (v x1)
def simplifyOp {n : ℕ} {A : Type} : ((OpInvolutivePointedMagmaSigTerm2 n A) → (OpInvolutivePointedMagmaSigTerm2 n A))
| (primOL2 x1) := (primOL2 (simplifyOp x1))
| eOL2 := eOL2
| (opOL2 x1 x2) := (opOL2 (simplifyOp x1) (simplifyOp x2))
| (v2 x1) := (v2 x1)
| (sing2 x1) := (sing2 x1)
def evalB {A : Type} : ((InvolutivePointedMagmaSig A) → (InvolutivePointedMagmaSigTerm → A))
| In (primL x1) := ((prim In) (evalB In x1))
| In eL := (e In)
| In (opL x1 x2) := ((op In) (evalB In x1) (evalB In x2))
def evalCl {A : Type} : ((InvolutivePointedMagmaSig A) → ((ClInvolutivePointedMagmaSigTerm A) → A))
| In (sing x1) := x1
| In (primCl x1) := ((prim In) (evalCl In x1))
| In eCl := (e In)
| In (opCl x1 x2) := ((op In) (evalCl In x1) (evalCl In x2))
def evalOpB {A : Type} {n : ℕ} : ((InvolutivePointedMagmaSig A) → ((vector A n) → ((OpInvolutivePointedMagmaSigTerm n) → A)))
| In vars (v x1) := (nth vars x1)
| In vars (primOL x1) := ((prim In) (evalOpB In vars x1))
| In vars eOL := (e In)
| In vars (opOL x1 x2) := ((op In) (evalOpB In vars x1) (evalOpB In vars x2))
def evalOp {A : Type} {n : ℕ} : ((InvolutivePointedMagmaSig A) → ((vector A n) → ((OpInvolutivePointedMagmaSigTerm2 n A) → A)))
| In vars (v2 x1) := (nth vars x1)
| In vars (sing2 x1) := x1
| In vars (primOL2 x1) := ((prim In) (evalOp In vars x1))
| In vars eOL2 := (e In)
| In vars (opOL2 x1 x2) := ((op In) (evalOp In vars x1) (evalOp In vars x2))
def inductionB {P : (InvolutivePointedMagmaSigTerm → Type)} : ((∀ (x1 : InvolutivePointedMagmaSigTerm) , ((P x1) → (P (primL x1)))) → ((P eL) → ((∀ (x1 x2 : InvolutivePointedMagmaSigTerm) , ((P x1) → ((P x2) → (P (opL x1 x2))))) → (∀ (x : InvolutivePointedMagmaSigTerm) , (P x)))))
| ppriml pel popl (primL x1) := (ppriml _ (inductionB ppriml pel popl x1))
| ppriml pel popl eL := pel
| ppriml pel popl (opL x1 x2) := (popl _ _ (inductionB ppriml pel popl x1) (inductionB ppriml pel popl x2))
def inductionCl {A : Type} {P : ((ClInvolutivePointedMagmaSigTerm A) → Type)} : ((∀ (x1 : A) , (P (sing x1))) → ((∀ (x1 : (ClInvolutivePointedMagmaSigTerm A)) , ((P x1) → (P (primCl x1)))) → ((P eCl) → ((∀ (x1 x2 : (ClInvolutivePointedMagmaSigTerm A)) , ((P x1) → ((P x2) → (P (opCl x1 x2))))) → (∀ (x : (ClInvolutivePointedMagmaSigTerm A)) , (P x))))))
| psing pprimcl pecl popcl (sing x1) := (psing x1)
| psing pprimcl pecl popcl (primCl x1) := (pprimcl _ (inductionCl psing pprimcl pecl popcl x1))
| psing pprimcl pecl popcl eCl := pecl
| psing pprimcl pecl popcl (opCl x1 x2) := (popcl _ _ (inductionCl psing pprimcl pecl popcl x1) (inductionCl psing pprimcl pecl popcl x2))
def inductionOpB {n : ℕ} {P : ((OpInvolutivePointedMagmaSigTerm n) → Type)} : ((∀ (fin : (fin n)) , (P (v fin))) → ((∀ (x1 : (OpInvolutivePointedMagmaSigTerm n)) , ((P x1) → (P (primOL x1)))) → ((P eOL) → ((∀ (x1 x2 : (OpInvolutivePointedMagmaSigTerm n)) , ((P x1) → ((P x2) → (P (opOL x1 x2))))) → (∀ (x : (OpInvolutivePointedMagmaSigTerm n)) , (P x))))))
| pv pprimol peol popol (v x1) := (pv x1)
| pv pprimol peol popol (primOL x1) := (pprimol _ (inductionOpB pv pprimol peol popol x1))
| pv pprimol peol popol eOL := peol
| pv pprimol peol popol (opOL x1 x2) := (popol _ _ (inductionOpB pv pprimol peol popol x1) (inductionOpB pv pprimol peol popol x2))
def inductionOp {n : ℕ} {A : Type} {P : ((OpInvolutivePointedMagmaSigTerm2 n A) → Type)} : ((∀ (fin : (fin n)) , (P (v2 fin))) → ((∀ (x1 : A) , (P (sing2 x1))) → ((∀ (x1 : (OpInvolutivePointedMagmaSigTerm2 n A)) , ((P x1) → (P (primOL2 x1)))) → ((P eOL2) → ((∀ (x1 x2 : (OpInvolutivePointedMagmaSigTerm2 n A)) , ((P x1) → ((P x2) → (P (opOL2 x1 x2))))) → (∀ (x : (OpInvolutivePointedMagmaSigTerm2 n A)) , (P x)))))))
| pv2 psing2 pprimol2 peol2 popol2 (v2 x1) := (pv2 x1)
| pv2 psing2 pprimol2 peol2 popol2 (sing2 x1) := (psing2 x1)
| pv2 psing2 pprimol2 peol2 popol2 (primOL2 x1) := (pprimol2 _ (inductionOp pv2 psing2 pprimol2 peol2 popol2 x1))
| pv2 psing2 pprimol2 peol2 popol2 eOL2 := peol2
| pv2 psing2 pprimol2 peol2 popol2 (opOL2 x1 x2) := (popol2 _ _ (inductionOp pv2 psing2 pprimol2 peol2 popol2 x1) (inductionOp pv2 psing2 pprimol2 peol2 popol2 x2))
def stageB : (InvolutivePointedMagmaSigTerm → (Staged InvolutivePointedMagmaSigTerm))
| (primL x1) := (stage1 primL (codeLift1 primL) (stageB x1))
| eL := (Now eL)
| (opL x1 x2) := (stage2 opL (codeLift2 opL) (stageB x1) (stageB x2))
def stageCl {A : Type} : ((ClInvolutivePointedMagmaSigTerm A) → (Staged (ClInvolutivePointedMagmaSigTerm A)))
| (sing x1) := (Now (sing x1))
| (primCl x1) := (stage1 primCl (codeLift1 primCl) (stageCl x1))
| eCl := (Now eCl)
| (opCl x1 x2) := (stage2 opCl (codeLift2 opCl) (stageCl x1) (stageCl x2))
def stageOpB {n : ℕ} : ((OpInvolutivePointedMagmaSigTerm n) → (Staged (OpInvolutivePointedMagmaSigTerm n)))
| (v x1) := (const (code (v x1)))
| (primOL x1) := (stage1 primOL (codeLift1 primOL) (stageOpB x1))
| eOL := (Now eOL)
| (opOL x1 x2) := (stage2 opOL (codeLift2 opOL) (stageOpB x1) (stageOpB x2))
def stageOp {n : ℕ} {A : Type} : ((OpInvolutivePointedMagmaSigTerm2 n A) → (Staged (OpInvolutivePointedMagmaSigTerm2 n A)))
| (sing2 x1) := (Now (sing2 x1))
| (v2 x1) := (const (code (v2 x1)))
| (primOL2 x1) := (stage1 primOL2 (codeLift1 primOL2) (stageOp x1))
| eOL2 := (Now eOL2)
| (opOL2 x1 x2) := (stage2 opOL2 (codeLift2 opOL2) (stageOp x1) (stageOp x2))
structure StagedRepr (A : Type) (Repr : (Type → Type)) : Type :=
(primT : ((Repr A) → (Repr A)))
(eT : (Repr A))
(opT : ((Repr A) → ((Repr A) → (Repr A))))
end InvolutivePointedMagmaSig |
8a685879ca018fc7e50371502d88425103298e51 | 41ebf3cb010344adfa84907b3304db00e02db0a6 | /uexp/src/uexp/rules/relationalAlgebra.lean | 60c0acf65bf34480dd41ee6113b52531d2aaac86 | [
"BSD-2-Clause"
] | permissive | ReinierKoops/Cosette | e061b2ba58b26f4eddf4cd052dcf7abd16dfe8fb | eb8dadd06ee05fe7b6b99de431dd7c4faef5cb29 | refs/heads/master | 1,686,483,953,198 | 1,624,293,498,000 | 1,624,293,498,000 | 378,997,885 | 0 | 0 | BSD-2-Clause | 1,624,293,485,000 | 1,624,293,484,000 | null | UTF-8 | Lean | false | false | 2,887 | lean | import ..u_semiring
import ..sql
import ..tactics
import ..meta.ucongr
import ..meta.TDP
set_option profiler true
open Expr
open Proj
open Pred
open SQL
lemma commutativeSelect:
forall Γ s a slct0 slct1,
denoteSQL ((SELECT * FROM1 (SELECT * FROM1 a WHERE slct1) WHERE slct0): SQL Γ s) =
denoteSQL ((SELECT * FROM1 (SELECT * FROM1 a WHERE slct0) WHERE slct1): SQL Γ s) :=
begin
intros,
unfold_all_denotations,
funext,
-- simp should work here, but it seems require ac refl now
ac_refl,
end
lemma pushdownSelect:
forall Γ s1 s2 (r: SQL Γ s1) (s: SQL Γ s2) slct,
denoteSQL
((SELECT * FROM1 (SQL.product r (SELECT * FROM1 s WHERE slct))) : SQL Γ _) =
denoteSQL
(SELECT *
FROM1 (SQL.product r s)
WHERE (Pred.castPred (Proj.combine left (right⋅right)) slct): SQL Γ _) :=
begin
intros,
unfold_all_denotations,
funext,
unfold pair,
simp,
ac_refl
end
lemma disjointSelect:
forall Γ s (a: SQL Γ s) slct0 slct1,
denoteSQL ((DISTINCT SELECT * FROM1 a WHERE (slct0 OR slct1)): SQL Γ _) =
denoteSQL ((DISTINCT ((SELECT * FROM1 a WHERE slct0) UNION ALL (SELECT * FROM1 a WHERE slct1))) : SQL Γ _) :=
begin
intros,
unfold denoteSQL,
funext,
unfold denotePred,
rewrite squash_time_squash,
simp,
end
lemma idempotentSelect:
forall Γ s (a: SQL Γ s) slct,
denoteSQL ((SELECT * FROM1 (SELECT * FROM1 a WHERE slct) WHERE slct): SQL Γ _) =
denoteSQL ((SELECT * FROM1 a WHERE slct): SQL Γ _) :=
begin
intros,
unfold_all_denotations,
funext,
ucongr,
end
lemma projectionDistributesOverUnion:
forall Γ s (a0 a1: SQL Γ s) slct,
denoteSQL ((SELECT * FROM1 (a0 UNION ALL a1) WHERE slct) : SQL Γ _ ) =
denoteSQL (((SELECT * FROM1 a0 WHERE slct) UNION ALL (SELECT * FROM1 a1 WHERE slct)) : SQL Γ _ ) :=
begin
intros,
unfold_all_denotations,
funext,
simp,
end
lemma productDistributesOverUnion:
forall Γ s (a a0 a1: SQL Γ s),
denoteSQL (SELECT * FROM1 (product a (a0 UNION ALL a1)) : SQL Γ _ ) =
denoteSQL (((SELECT * FROM2 a, a0) UNION ALL (SELECT * FROM2 a, a1)) : SQL Γ _ ) :=
begin
intros,
unfold_all_denotations,
funext,
simp,
end
lemma joinCommute:
forall Γ s1 s2 (a:SQL Γ s1) (b:SQL Γ s2),
denoteSQL ((project (combine (right⋅right⋅star) (right⋅left⋅star)) (product b a) ) : SQL Γ _ ) =
denoteSQL (SELECT * FROM1 (product a b) : SQL Γ _ ) :=
begin
intros,
unfold_all_denotations,
funext,
unfold pair,
simp,
TDP,
end
lemma conjunctSelect:
forall Γ s a slct0 slct1,
denoteSQL ((SELECT * FROM1 a WHERE (and slct0 slct1)) : SQL Γ s ) =
denoteSQL ((SELECT * FROM1 (SELECT * FROM1 a WHERE slct0) WHERE slct1) : SQL Γ s) :=
begin
intros,
unfold_all_denotations,
funext,
unfold pair,
TDP,
end |
a4d21443ed14cb933acc1668179da89f31d43c92 | 5fbbd711f9bfc21ee168f46a4be146603ece8835 | /lean/natural_number_game/advanced_proposition/04.lean | 31f6325e9298d08d8b580bf23161075a7b050613 | [
"LicenseRef-scancode-warranty-disclaimer"
] | no_license | goedel-gang/maths | 22596f71e3fde9c088e59931f128a3b5efb73a2c | a20a6f6a8ce800427afd595c598a5ad43da1408d | refs/heads/master | 1,623,055,941,960 | 1,621,599,441,000 | 1,621,599,441,000 | 169,335,840 | 0 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 222 | lean | lemma iff_trans (P Q R : Prop) : (P ↔ Q) → (Q ↔ R) → (P ↔ R) :=
begin
-- could do with cc
intros h g,
cases h with hpq hqp,
cases g with gqr grq,
split,
cc, -- instead of "intro, exact ..."
cc,
end
|
24f1991b5c4d173ead50b0fcbcfc19abea8c3d23 | 495c02489c2d6a1db94dfdba71dd800d3cc67df2 | /migrated/list.lean | 2b1cf551b049da68592481c37760366f2ab13903 | [] | no_license | leodemoura/leanproved | e0fcbe4f4d72bf0dad9a962ed111b5975cf90712 | de56e0af159dd0c0421733289c76aa79c78a0191 | refs/heads/master | 1,606,822,676,898 | 1,435,711,541,000 | 1,435,711,541,000 | 36,675,856 | 0 | 0 | null | 1,433,178,724,000 | 1,433,178,724,000 | null | UTF-8 | Lean | false | false | 4,379 | lean | /-
Copyright (c) 2015 Haitao Zhang. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Author : Haitao Zhang
-/
import data
open list eq.ops
namespace migration
section basic
open function
lemma head_eq_of_cons_eq {A : Type} {h₁ h₂ : A} {t₁ t₂ : list A} :
(h₁::t₁) = (h₂::t₂) → h₁ = h₂ :=
assume Peq, list.no_confusion Peq (assume Pheq Pteq, Pheq)
lemma tail_eq_of_cons_eq {A : Type} {h₁ h₂ : A} {t₁ t₂ : list A} :
(h₁::t₁) = (h₂::t₂) → t₁ = t₂ :=
assume Peq, list.no_confusion Peq (assume Pheq Pteq, Pteq)
lemma cons_inj {A : Type} {a : A} : injective (cons a) :=
take l₁ l₂, assume Pe, tail_eq_of_cons_eq Pe
end basic
section unused
open nat
variable {A : Type}
-- insert at all possible locations
definition insert_all (a : A) : ∀ (l : list A), list (list A)
| [] := [[a]]
| (b::l) := (a::b::l) :: map (cons b) (insert_all l)
definition concat_all (ls : list (list A)) : list A :=
foldr append [] ls
definition perms_of_list : ∀ (l : list A), list (list A)
| [] := [[]]
| (a::l) := concat_all (map (insert_all a) (perms_of_list l))
lemma insert_all_cons {a b : A} {l : list A} :
(insert_all a (b::l)) = (a::b::l) :: map (cons b) (insert_all a l) := rfl
lemma nodup_concat_all_of_disjoint_of_all_nodup_of_nodup :
∀ {ls : list (list A)}, nodup ls → (∀ l, l ∈ ls → nodup l) → (∀ l₁ l₂, l₁ ∈ ls → l₂ ∈ ls → l₁ ≠ l₂ → disjoint l₁ l₂) → nodup (concat_all ls) := sorry
lemma nodup_insert_all {a : A} : ∀ {l : list A}, a ∉ l → nodup (insert_all a l)
| [] := assume P, !nodup_singleton
| (b::l) := assume Pnin, obtain Paneb Paninl, from ne_and_not_mem_of_not_mem_cons Pnin,
nodup_cons (not.intro (assume Pablin,
obtain t Pt Peq, from exists_of_mem_map Pablin,
absurd (head_eq_of_cons_eq Peq)⁻¹ Paneb))
(nodup_map cons_inj (nodup_insert_all Paninl))
lemma all_not_mem_insert_all_of_not_mem_of_ne {a : A} :
∀ {l : list A} {b}, b ≠ a → b ∉ l → ∀ {l'}, l' ∈ insert_all a l → b ∉ l'
| [] := take b, assume Pne Pnin, take l', assume Pl' : l' ∈ [[a]], by
rewrite [mem_singleton Pl']; intro P; apply absurd (mem_singleton P) Pne
| (c::l) := take b, assume Pne Pnin, take l', begin
rewrite [insert_all_cons, mem_cons_iff], intro Pl',
cases Pl' with Pacl Pinmap,
rewrite Pacl, exact not_mem_cons_of_ne_of_not_mem Pne Pnin,
assert Pex : ∃ t, t ∈ insert_all a l ∧ c :: t = l',
apply exists_of_mem_map Pinmap,
cases Pex with t Pt,
rewrite [-(and.right Pt)],
apply not_mem_cons_of_ne_of_not_mem (ne_of_not_mem_cons Pnin),
apply all_not_mem_insert_all_of_not_mem_of_ne Pne (not_mem_of_not_mem_cons Pnin) (and.left Pt)
end
lemma all_nodup_insert_all {a} :
∀ {l : list A}, a ∉ l → nodup l → ∀ {l'}, l' ∈ (insert_all a l) → nodup l'
| [] := assume Pnin Pnodup, take l', assume Pl', by
rewrite [mem_singleton Pl']; apply nodup_singleton
| (b::l) := assume Pnin, obtain Paneb Paninl, from ne_and_not_mem_of_not_mem_cons Pnin,
assume Pnodup, take l', assume Pl',
or.elim (eq_or_mem_of_mem_cons Pl')
(assume Peq, begin
rewrite [Peq], apply nodup_cons,
exact not_mem_cons_of_ne_of_not_mem Paneb Paninl,
exact Pnodup
end)
(assume Pin : l' ∈ map (cons b) (insert_all a l),
obtain t Pt Peq, from exists_of_mem_map Pin, begin
rewrite [-Peq], apply nodup_cons,
apply all_not_mem_insert_all_of_not_mem_of_ne (ne.symm Paneb),
apply not_mem_of_nodup_cons Pnodup, apply Pt,
apply all_nodup_insert_all Paninl (nodup_of_nodup_cons Pnodup) Pt
end)
lemma nodup_perms_of_nodup : ∀ {l : list A}, nodup l → nodup (perms_of_list l)
| [] := assume P, !nodup_singleton
| (a::l) := assume Pal, sorry
lemma length_insert_all {a : A} : ∀ {l : list A}, length (insert_all a l) = length l + 1
| [] := rfl
| (b::l) := by rewrite [insert_all_cons, length_cons, length_map, length_insert_all]
end unused
end migration
|
66450f03a42284479ec36d089ef13dce7c34c581 | 80d0f8071ea62262937ab36f5887a61735adea09 | /src/certigrad/ops.lean | 99eaae57f1661a968c6220a0dda43111aa9bf675 | [
"Apache-2.0"
] | permissive | wudcscheme/certigrad | 94805fa6a61f993c69a824429a103c9613a65a48 | c9a06e93f1ec58196d6d3b8563b29868d916727f | refs/heads/master | 1,679,386,475,077 | 1,551,651,022,000 | 1,551,651,022,000 | null | 0 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 28,378 | lean | /-
Copyright (c) 2017 Daniel Selsam. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Author: Daniel Selsam
Deterministic operators.
-/
import .tgrads .util .tcont .det
namespace certigrad
open T list
namespace ops
section tactic
open tactic
meta def idx_over : tactic unit :=
do exfalso, to_expr ```(at_idx_over H_at_idx dec_trivial) >>= exact
meta def simp_simple : tactic unit :=
do s₀ ← simp_lemmas.mk_default,
s ← return $ simp_lemmas.erase s₀ $ [`add_comm, `add_left_comm, `mul_comm, `mul_left_comm],
simplify_goal s {} >> try triv >> try (reflexivity reducible)
meta def prove_odiff : tactic unit :=
do get_local `f_odiff >>= clear,
to_expr ```(shape = fshape) >>= λ ty, to_expr ```(eq.symm H_at_idx^.right) >>= λ val, assertv `H_fshape_eq ty val,
get_local `H_fshape_eq >>= subst,
dunfold [`certigrad.det.is_odifferentiable],
try simp_simple,
try dsimp,
prove_differentiable
meta def prove_pb_correct_init : tactic unit :=
do get_local `f_pb_correct >>= clear,
to_expr ```(shape = fshape) >>= λ ty, to_expr ```(eq.symm H_at_idx^.right) >>= λ val, assertv `H_fshape_eq ty val,
get_local `H_fshape_eq >>= subst,
to_expr ```(T shape → ℝ) >>= λ ty, to_expr ```(λ (z : T shape), T.dot z g_out) >>= definev `k ty,
to_expr ```(∇ k y = g_out) >>= assert `H_k_grad, dsimp, rewrite `certigrad.T.grad_dot₁,
get_local `H_k_grad >>= rewrite_core reducible tt tt occurrences.all tt,
get_local `H_y >>= subst
meta def prove_pb_correct : tactic unit :=
do prove_pb_correct_init,
try simp_simple,
try dsimp,
mk_const `certigrad.T.grad_tmulT >>= rewrite_core reducible tt tt occurrences.all tt,
simplify_grad,
try simp,
try reflexivity
meta def prove_ocont_init : tactic unit :=
do get_local `f_ocont >>= clear,
to_expr ```(shape = ishape) >>= λ ty, to_expr ```(eq.symm H_at_idx^.right) >>= λ val, assertv `H_ishape_eq ty val,
get_local `H_ishape_eq >>= subst,
try simp_simple,
try dsimp
meta def prove_ocont : tactic unit :=
do prove_ocont_init,
repeat (prove_continuous_core <|> prove_preconditions_core)
end tactic
open det
namespace scale
def f (α : ℝ) {shape : S} (xs : dvec T [shape]) : T shape := α ⬝ xs^.head
def f_pre {shape : S} : precondition [shape] := λ xs, true
def f_pb (α : ℝ) {shape : S} (xs : dvec T [shape]) (y gy : T shape) (idx : ℕ) (fshape : S) : T fshape := force (α ⬝ gy) fshape
attribute [simp] f f_pre f_pb
lemma f_odiff (α : ℝ) {shape : S} : is_odifferentiable (@f α shape) (@f_pre shape)
| ⟦x⟧ H_pre 0 fshape H_at_idx k H_k := by prove_odiff
| ⟦x⟧ H_pre (n+1) fshape H_at_idx k H_k := by idx_over
lemma f_pb_correct (α : ℝ) {shape : S} : pullback_correct (@f α shape) (@f_pre shape) (@f_pb α shape)
| ⟦x⟧ y H_y g_out 0 fshape H_at_idx H_pre := by prove_pb_correct
| xs y H_y g_out (n+1) fshape H_at_idx H_pre := by idx_over
lemma f_ocont (α : ℝ) {shape : S} : is_ocontinuous (@f α shape) (@f_pre shape)
| ⟦x⟧ 0 ishape H_at_idx H_pre := by prove_ocont
| ⟦x⟧ (n+1) ishape H_at_idx H_pre := by idx_over
end scale
section open scale
def scale (α : ℝ) (shape : S) : det.op [shape] shape :=
det.op.mk "scale" (f α) f_pre (f_pb α) (f_odiff α) (f_pb_correct α) (f_ocont α)
end
namespace neg
def f {shape : S} (xs : dvec T [shape]) : T shape := - xs^.head
def f_pre {shape : S} : precondition [shape] := λ xs, true
def f_pb {shape : S} (xs : dvec T [shape]) (y gy : T shape) (idx : ℕ) (fshape : S) : T fshape := force (-gy) fshape
attribute [simp] f f_pre f_pb
lemma f_odiff {shape : S} : is_odifferentiable (@f shape) (@f_pre shape)
| ⟦x⟧ H_pre 0 fshape H_at_idx k H_k := by prove_odiff
| ⟦x⟧ H_pre (n+1) fshape H_at_idx k H_k := by idx_over
lemma f_pb_correct {shape : S} : pullback_correct (@f shape) (@f_pre shape) (@f_pb shape)
| ⟦x⟧ y H_y g_out 0 fshape H_at_idx H_pre := by prove_pb_correct
| xs y H_y g_out (n+1) fshape H_at_idx H_pre := by idx_over
lemma f_ocont {shape : S} : is_ocontinuous (@f shape) (@f_pre shape)
| ⟦x⟧ 0 ishape H_at_idx H_pre := by prove_ocont
| ⟦x⟧ (n+1) ishape H_at_idx H_pre := by idx_over
end neg
section open neg
def neg (shape : S) : det.op [shape] shape :=
det.op.mk "neg" f f_pre f_pb f_odiff f_pb_correct f_ocont
end
namespace exp
def f {shape : S} (xs : dvec T [shape]) : T shape := exp xs^.head
def f_pre {shape : S} : precondition [shape] := λ xs, true
def f_pb {shape : S} (xs : dvec T [shape]) (y gy : T shape) (idx : ℕ) (fshape : S) : T fshape := force (gy * y) fshape
attribute [simp] f f_pre f_pb
lemma f_odiff {shape : S} : is_odifferentiable (@f shape) (@f_pre shape)
| ⟦x⟧ H_pre 0 fshape H_at_idx k H_k := by prove_odiff
| ⟦x⟧ H_pre (n+1) fshape H_at_idx k H_k := by idx_over
lemma f_pb_correct {shape : S} : pullback_correct (@f shape) (@f_pre shape) (@f_pb shape)
| ⟦x⟧ y H_y g_out 0 fshape H_at_idx H_pre := by prove_pb_correct
| xs y H_y g_out (n+1) fshape H_at_idx H_pre := by idx_over
lemma f_ocont {shape : S} : is_ocontinuous (@f shape) (@f_pre shape)
| ⟦x⟧ 0 ishape H_at_idx H_pre := by prove_ocont
| ⟦x⟧ (n+1) ishape H_at_idx H_pre := by idx_over
end exp
section open exp
def exp (shape : S) : det.op [shape] shape :=
det.op.mk "exp" f f_pre f_pb f_odiff f_pb_correct f_ocont
end
namespace log
def f {shape : S} (xs : dvec T [shape]) : T shape := log xs^.head
def f_pre {shape : S} : precondition [shape] := λ xs, xs^.head > 0
def f_pb {shape : S} (xs : dvec T [shape]) (y gy : T shape) (idx : ℕ) (fshape : S) : T fshape := force (gy / xs^.head) fshape
attribute [simp] f f_pre f_pb
lemma f_odiff {shape : S} : is_odifferentiable (@f shape) (@f_pre shape)
| ⟦x⟧ H_pre 0 fshape H_at_idx k H_k := by prove_odiff
| ⟦x⟧ H_pre (n+1) fshape H_at_idx k H_k := by idx_over
lemma f_pb_correct {shape : S} : pullback_correct (@f shape) (@f_pre shape) (@f_pb shape)
| ⟦x⟧ y H_y g_out 0 fshape H_at_idx H_pre := by prove_pb_correct
| xs y H_y g_out (n+1) fshape H_at_idx H_pre := by idx_over
lemma f_ocont {shape : S} : is_ocontinuous (@f shape) (@f_pre shape)
| ⟦x⟧ 0 ishape H_at_idx H_pre := by prove_ocont
| ⟦x⟧ (n+1) ishape H_at_idx H_pre := by idx_over
end log
section open log
def log (shape : S) : det.op [shape] shape :=
det.op.mk "log" f f_pre f_pb f_odiff f_pb_correct f_ocont
end
namespace sqrt
def f {shape : S} (xs : dvec T [shape]) : T shape := sqrt xs^.head
def f_pre {shape : S} : precondition [shape] := λ xs, 0 < xs^.head
def f_pb {shape : S} (xs : dvec T [shape]) (y gy : T shape) (idx : ℕ) (fshape : S) : T fshape := force (gy / (2 * y)) fshape
attribute [simp] f f_pre f_pb
lemma f_odiff {shape : S} : is_odifferentiable (@f shape) (@f_pre shape)
| ⟦x⟧ H_pre 0 fshape H_at_idx k H_k := by prove_odiff
| ⟦x⟧ H_pre (n+1) fshape H_at_idx k H_k := by idx_over
lemma f_pb_correct {shape : S} : pullback_correct (@f shape) (@f_pre shape) (@f_pb shape)
| ⟦x⟧ y H_y g_out 0 fshape H_at_idx H_pre := by prove_pb_correct
| xs y H_y g_out (n+1) fshape H_at_idx H_pre := by idx_over
lemma f_ocont {shape : S} : is_ocontinuous (@f shape) (@f_pre shape)
| ⟦x⟧ 0 ishape H_at_idx H_pre := by prove_ocont
| ⟦x⟧ (n+1) ishape H_at_idx H_pre := by idx_over
end sqrt
section open sqrt
def sqrt (shape : S) : det.op [shape] shape :=
det.op.mk "sqrt" f f_pre f_pb f_odiff f_pb_correct f_ocont
end
namespace sigmoid
def f {shape : S} (xs : dvec T [shape]) : T shape := sigmoid xs^.head
def f_pre {shape : S} : precondition [shape] := λ xs, true
def f_pb {shape : S} (xs : dvec T [shape]) (y gy : T shape) (idx : ℕ) (fshape : S) : T fshape :=
force (gy * y * (1 - y)) fshape
attribute [simp] f f_pre f_pb
lemma f_odiff {shape : S} : is_odifferentiable (@f shape) (@f_pre shape)
| ⟦x⟧ H_pre 0 fshape H_at_idx k H_k := by prove_odiff
| ⟦x⟧ H_pre (n+1) fshape H_at_idx k H_k := by idx_over
lemma f_pb_correct {shape : S} : pullback_correct (@f shape) (@f_pre shape) (@f_pb shape)
| ⟦x⟧ y H_y g_out 0 fshape H_at_idx H_pre := by prove_pb_correct
| xs y H_y g_out (n+1) fshape H_at_idx H_pre := by idx_over
lemma f_ocont {shape : S} : is_ocontinuous (@f shape) (@f_pre shape)
| ⟦x⟧ 0 ishape H_at_idx H_pre := by prove_ocont
| ⟦x⟧ (n+1) ishape H_at_idx H_pre := by idx_over
end sigmoid
section open sigmoid
def sigmoid (shape : S) : det.op [shape] shape :=
det.op.mk "sigmoid" f f_pre f_pb f_odiff f_pb_correct f_ocont
end
namespace softplus
def f {shape : S} (xs : dvec T [shape]) : T shape := softplus xs^.head
def f_pre {shape : S} : precondition [shape] := λ xs, true
def f_pb {shape : S} (xs : dvec T [shape]) (y gy : T shape) (idx : ℕ) (fshape : S) : T fshape :=
force (gy / (1 + T.exp (- xs^.head))) fshape
attribute [simp] f f_pre f_pb
lemma f_odiff {shape : S} : is_odifferentiable (@f shape) (@f_pre shape)
| ⟦x⟧ H_pre 0 fshape H_at_idx k H_k := by prove_odiff
| xs H_pre (n+1) fshape H_at_idx k H_k := by idx_over
lemma f_pb_correct {shape : S} : pullback_correct (@f shape) (@f_pre shape) (@f_pb shape)
| ⟦x⟧ y H_y g_out 0 fshape H_at_idx H_pre := by prove_pb_correct
| xs y H_y g_out (n+1) fshape H_at_idx H_pre := by idx_over
lemma f_ocont {shape : S} : is_ocontinuous (@f shape) (@f_pre shape)
| ⟦x⟧ 0 ishape H_at_idx H_pre := by prove_ocont
| xs (n+1) ishape H_at_idx H_pre := by idx_over
end softplus
section open softplus
def softplus (shape : S) : det.op [shape] shape :=
det.op.mk "softplus" f f_pre f_pb f_odiff f_pb_correct f_ocont
end
namespace add
def f {shape : S} (xs : dvec T [shape, shape]) : T shape := xs^.head + xs^.head2
def f_pre {shape : S} : precondition [shape, shape] := λ xs, true
def f_pb {shape : S} (xs : dvec T [shape, shape]) (y gy : T shape) (idx : ℕ) (fshape : S) : T fshape := force (gy) fshape
attribute [simp] f f_pre f_pb
lemma f_odiff {shape : S} : is_odifferentiable (@f shape) (@f_pre shape)
| ⟦x, y⟧ H_pre 0 fshape H_at_idx k H_k := by { prove_odiff }
| ⟦x, y⟧ H_pre 1 fshape H_at_idx k H_k := by { prove_odiff }
| xs H_pre (n+2) fshape H_at_idx k H_k := by idx_over
lemma f_pb_correct {shape : S} : pullback_correct (@f shape) (@f_pre shape) (@f_pb shape)
| ⟦x₁, x₂⟧ y H_y g_out 0 fshape H_at_idx H_pre := by prove_pb_correct
| ⟦x₁, x₂⟧ y H_y g_out 1 fshape H_at_idx H_pre := by prove_pb_correct
| xs y H_y g_out (n+2) fshape H_at_idx H_pre := by idx_over
lemma f_ocont {shape : S} : is_ocontinuous (@f shape) (@f_pre shape)
| ⟦x₁, x₂⟧ 0 ishape H_at_idx H_pre := by prove_ocont
| ⟦x₁, x₂⟧ 1 ishape H_at_idx H_pre := by prove_ocont
| xs (n+2) ishape H_at_idx H_pre := by idx_over
end add
section open add
def add (shape : S) : det.op [shape, shape] shape :=
det.op.mk "add" f f_pre f_pb f_odiff f_pb_correct f_ocont
end
namespace mul
def f {shape : S} (xs : dvec T [shape, shape]) : T shape := xs^.head * xs^.head2
def f_pre {shape : S} : precondition [shape, shape] := λ xs, true
def f_pb {shape : S} (xs : dvec T [shape, shape]) (y gy : T shape) : Π (idx : ℕ) (fshape : S), T fshape
| 0 fshape := force (gy * xs^.head2) fshape
| 1 fshape := force (gy * xs^.head) fshape
| (n+2) fshape := T.error "mul: index too large"
attribute [simp] f f_pre f_pb
lemma f_odiff {shape : S} : is_odifferentiable (@f shape) (@f_pre shape)
| ⟦x, y⟧ H_pre 0 fshape H_at_idx k H_k := by { prove_odiff }
| ⟦x, y⟧ H_pre 1 fshape H_at_idx k H_k := by { prove_odiff }
| xs H_pre (n+2) fshape H_at_idx k H_k := by idx_over
lemma f_pb_correct {shape : S} : pullback_correct (@f shape) (@f_pre shape) (@f_pb shape)
| ⟦x₁, x₂⟧ y H_y g_out 0 fshape H_at_idx H_pre := by prove_pb_correct
| ⟦x₁, x₂⟧ y H_y g_out 1 fshape H_at_idx H_pre := by prove_pb_correct
| xs y H_y g_out (n+2) fshape H_at_idx H_pre := by idx_over
lemma f_ocont {shape : S} : is_ocontinuous (@f shape) (@f_pre shape)
| ⟦x₁, x₂⟧ 0 ishape H_at_idx H_pre := by prove_ocont
| ⟦x₁, x₂⟧ 1 ishape H_at_idx H_pre := by prove_ocont
| xs (n+2) ishape H_at_idx H_pre := by idx_over
end mul
section open mul
def mul (shape : S) : det.op [shape, shape] shape :=
det.op.mk "mul" f f_pre f_pb f_odiff f_pb_correct f_ocont
end
namespace sub
def f {shape : S} (xs : dvec T [shape, shape]) : T shape := xs^.head - xs^.head2
def f_pre {shape : S} : precondition [shape, shape] := λ xs, true
def f_pb {shape : S} (xs : dvec T [shape, shape]) (y gy : T shape) : Π (idx : ℕ) (fshape : S), T fshape
| 0 fshape := force (gy) fshape
| 1 fshape := force (- gy) fshape
| (n+2) fshape := T.error "sub: index too large"
attribute [simp] f f_pre f_pb
lemma f_odiff {shape : S} : is_odifferentiable (@f shape) (@f_pre shape)
| ⟦x, y⟧ H_pre 0 fshape H_at_idx k H_k := by { prove_odiff }
| ⟦x, y⟧ H_pre 1 fshape H_at_idx k H_k := by { prove_odiff }
| xs H_pre (n+2) fshape H_at_idx k H_k := by idx_over
lemma f_pb_correct {shape : S} : pullback_correct (@f shape) (@f_pre shape) (@f_pb shape)
| ⟦x₁, x₂⟧ y H_y g_out 0 fshape H_at_idx H_pre := by prove_pb_correct
| ⟦x₁, x₂⟧ y H_y g_out 1 fshape H_at_idx H_pre := by prove_pb_correct
| xs y H_y g_out (n+2) fshape H_at_idx H_pre := by idx_over
lemma f_ocont {shape : S} : is_ocontinuous (@f shape) (@f_pre shape)
| ⟦x₁, x₂⟧ 0 ishape H_at_idx H_pre := by prove_ocont
| ⟦x₁, x₂⟧ 1 ishape H_at_idx H_pre := by prove_ocont
| xs (n+2) ishape H_at_idx H_pre := by idx_over
end sub
section open sub
def sub (shape : S) : det.op [shape, shape] shape :=
det.op.mk "sub" f f_pre f_pb f_odiff f_pb_correct f_ocont
end
namespace div
def f {shape : S} (xs : dvec T [shape, shape]) : T shape := xs^.head / xs^.head2
def f_pre {shape : S} : precondition [shape, shape] := λ xs, 0 < T.square xs^.head2
def f_pb {shape : S} (xs : dvec T [shape, shape]) (y gy : T shape) : Π (idx : ℕ) (fshape : S), T fshape
| 0 fshape := force (gy / xs^.head2) fshape
| 1 fshape := force (- (gy * xs^.head) / (T.square xs^.head2)) fshape
| (n+2) fshape := T.error "div: index too large"
attribute [simp] f f_pre f_pb
lemma f_odiff {shape : S} : is_odifferentiable (@f shape) (@f_pre shape)
| ⟦x, y⟧ H_pre 0 fshape H_at_idx k H_k := by { prove_odiff }
| ⟦x, y⟧ H_pre 1 fshape H_at_idx k H_k := by { prove_odiff }
| xs H_pre (n+2) fshape H_at_idx k H_k := by idx_over
lemma f_pb_correct {shape : S} : pullback_correct (@f shape) (@f_pre shape) (@f_pb shape)
| ⟦x₁, x₂⟧ y H_y g_out 0 fshape H_at_idx H_pre := begin prove_pb_correct end
| ⟦x₁, x₂⟧ y H_y g_out 1 fshape H_at_idx H_pre := by prove_pb_correct
| xs y H_y g_out (n+2) fshape H_at_idx H_pre := by idx_over
lemma f_ocont {shape : S} : is_ocontinuous (@f shape) (@f_pre shape)
| ⟦x₁, x₂⟧ 0 ishape H_at_idx H_pre := by prove_ocont
| ⟦x₁, x₂⟧ 1 ishape H_at_idx H_pre := by prove_ocont
| xs (n+2) ishape H_at_idx H_pre := by idx_over
end div
section open div
def div (shape : S) : det.op [shape, shape] shape :=
det.op.mk "div" f f_pre f_pb f_odiff f_pb_correct f_ocont
end
namespace sum
def f {shape : S} (xs : dvec T [shape]) : ℝ := T.sum xs^.head
def f_pre {shape : S} : precondition [shape] := λ xs, true
def f_pb {shape : S} (xs : dvec T [shape]) (y gy : ℝ) (idx : ℕ) (fshape : S) : T fshape := force (T.const gy shape) fshape
attribute [simp] f f_pre f_pb
lemma f_odiff {shape : S} : is_odifferentiable (@f shape) (@f_pre shape)
| ⟦x⟧ H_pre 0 fshape H_at_idx k H_k := by prove_odiff
| ⟦x⟧ H_pre (n+1) fshape H_at_idx k H_k := by idx_over
lemma f_pb_correct {shape : S} : pullback_correct (@f shape) (@f_pre shape) (@f_pb shape)
| ⟦x⟧ y H_y g_out 0 fshape H_at_idx H_pre :=
begin
clear f_pb_correct,
assertv H_fshape_eq : shape = fshape := eq.symm H_at_idx^.right,
subst H_fshape_eq,
definev k : ℝ → ℝ := (λ θ, dot g_out θ),
assert H_grad : ∇ k y = g_out,
{ change ∇ (λ θ, dot g_out θ) y = g_out, rw certigrad.T.grad_dot₂ },
rw -H_grad,
subst H_y,
simp, dsimp,
dunfold dvec.get dvec.head dvec.update_at,
rw -T.grad_tmulT,
rw T.grad_sum k,
simp [T.smul.def]
end
| xs y H_y g_out (n+1) fshape H_at_idx H_pre := by idx_over
lemma f_ocont {shape : S} : is_ocontinuous (@f shape) (@f_pre shape)
| ⟦x⟧ 0 ishape H_at_idx H_pre := by prove_ocont
| ⟦x⟧ (n+1) ishape H_at_idx H_pre := by idx_over
end sum
section open sum
-- TODO(dhs): why won't it find `f` without `sum.`? Bug in Lean?
def sum (shape : S) : det.op [shape] [] :=
det.op.mk "sum" sum.f sum.f_pre sum.f_pb sum.f_odiff sum.f_pb_correct sum.f_ocont
end
namespace gemm
def f {m n p : ℕ} (xs : dvec T [[m, n], [n, p]]) : T [m, p] := gemm xs^.head xs^.head2
def f_pre {m n p : ℕ} : precondition [[m, n], [n, p]] := λ xs, true
def f_pb {m n p : ℕ} (xs : dvec T [[m, n], [n, p]]) (y gy : T [m, p]) : Π (idx : ℕ) (fshape : S), T fshape
| 0 fshape := force (T.gemm gy (transpose $ xs^.head2)) fshape
| 1 fshape := force (T.gemm (transpose $ xs^.head) gy) fshape
| (n+2) fshape := T.error "gemm: index too large"
attribute [simp] f f_pre f_pb
lemma f_odiff {m n p : ℕ} : is_odifferentiable (@f m n p) (@f_pre m n p)
| ⟦x₁, x₂⟧ H_pre 0 fshape H_at_idx k H_k := begin definev shape : S := [m, n], prove_odiff end
| ⟦x₁, x₂⟧ H_pre 1 fshape H_at_idx k H_k := begin definev shape : S := [n, p], prove_odiff end
| xs H_pre (n+2) fshape H_at_idx k H_k := by idx_over
lemma f_pb_correct {m n p : ℕ} : pullback_correct (@f m n p) (@f_pre m n p) (@f_pb m n p)
| ⟦x₁, x₂⟧ y H_y g_out 0 fshape H_fshape_at_idx H_pre :=
begin
clear f_pb_correct,
assertv H_fshape_eq : [m, n] = fshape := eq.symm H_fshape_at_idx^.right,
subst H_fshape_eq,
definev k : T [m, p] → ℝ := (λ θ, dot g_out θ),
assert H_grad : ∇ k y = g_out,
{ change ∇ (λ θ, dot g_out θ) y = g_out, rw certigrad.T.grad_dot₂ },
rw -H_grad,
subst H_y,
simp, dsimp,
rw [-T.grad_tmulT, T.grad_gemm₁ k]
end
| ⟦x₁, x₂⟧ y H_y g_out 1 fshape H_fshape_at_idx H_pre :=
begin
clear f_pb_correct,
assertv H_fshape_eq : [n, p] = fshape := eq.symm H_fshape_at_idx^.right,
subst H_fshape_eq,
definev k : T [m, p] → ℝ := (λ θ, dot g_out θ),
assert H_grad : ∇ k y = g_out,
{ change ∇ (λ θ, dot g_out θ) y = g_out, rw certigrad.T.grad_dot₂ },
rw -H_grad,
subst H_y,
simp, dsimp,
rw [-T.grad_tmulT, T.grad_gemm₂ k]
end
| xs y H_y g_out (n+2) fshape H_fshape_at_idx H_pre := false.rec _ (at_idx_over H_fshape_at_idx (by tactic.dec_triv))
lemma f_ocont {m n p : ℕ} : is_ocontinuous (@f m n p) (@f_pre m n p)
| ⟦x₁, x₂⟧ 0 ishape H_at_idx H_pre := by { pose shape := [m, n], prove_ocont }
| ⟦x₁, x₂⟧ 1 ishape H_at_idx H_pre := by { pose shape := [n, p], prove_ocont }
| xs (n+2) ishape H_at_idx H_pre := by idx_over
end gemm
section open gemm
def gemm (m n p : ℕ) : det.op [[m, n], [n, p]] [m, p] :=
det.op.mk "gemm" f f_pre f_pb f_odiff f_pb_correct f_ocont
end
namespace mvn_kl
def f {shape : S} (xs : dvec T [shape, shape]) : ℝ := mvn_kl xs^.head xs^.head2
def f_pre {shape : S} : precondition [shape, shape] := λ xs, 0 < xs^.head2
def f_pb {shape : S} (xs : dvec T [shape, shape]) (y gy : ℝ) : Π (idx : ℕ) (fshape : S), T fshape
| 0 fshape := force (gy ⬝ xs^.head) fshape
| 1 fshape := force (gy ⬝ (xs^.head2 - (1 / xs^.head2))) fshape
| (n+2) fshape := T.error "mvn_kl: index too large"
attribute [simp] f f_pre f_pb
lemma f_odiff {shape : S} : is_odifferentiable (@f shape) (@f_pre shape)
| ⟦μ, σ⟧ H_pre 0 fshape H_at_idx k H_k := by prove_odiff
| ⟦μ, σ⟧ H_pre 1 fshape H_at_idx k H_k := by prove_odiff
| xs H_pre (n+2) fshape H_at_idx k H_k := by idx_over
lemma f_pb_correct {shape : S} : pullback_correct (@f shape) (@f_pre shape) (@f_pb shape)
| ⟦μ, σ⟧ y H_y g_out 0 fshape H_fshape_at_idx H_pre :=
begin
clear f_pb_correct,
assertv H_fshape_eq : shape = fshape := eq.symm H_fshape_at_idx^.right,
subst H_fshape_eq,
definev k : ℝ → ℝ := λ (x : ℝ), x * g_out,
assertv H_k_grad : ∇ k y = g_out := by { dsimp, erw [T.grad_mul₁ id, T.grad_id, one_mul] },
rw -H_k_grad,
subst H_y,
dsimp,
simp,
rw -T.grad_tmulT,
simplify_grad,
simp [T.smul.def]
end
| ⟦μ, σ⟧ y H_y g_out 1 fshape H_at_idx H_pre :=
have H_σ₂ : square σ > 0, from square_pos_of_pos H_pre,
have H_diff₁ : is_cdifferentiable (λ (θ₀ : T shape), g_out * (-2⁻¹ * T.sum (1 + T.log (square θ₀) - square μ - square σ))) σ, by prove_differentiable,
have H_diff₂ : is_cdifferentiable (λ (θ₀ : T shape), g_out * (-2⁻¹ * T.sum (1 + T.log (square σ) - square μ - square θ₀))) σ, by prove_differentiable,
begin
clear f_pb_correct,
assertv H_fshape_eq : shape = fshape := eq.symm H_at_idx^.right,
subst H_fshape_eq,
definev k : ℝ → ℝ := λ (x : ℝ), x * g_out,
assertv H_k_grad : ∇ k y = g_out := by { dsimp, erw [T.grad_mul₁ id, T.grad_id, one_mul] },
rw -H_k_grad,
subst H_y,
dsimp,
simp,
rw -T.grad_tmulT,
dunfold T.mvn_kl,
rw (T.grad_binary (λ θ₁ θ₂, g_out * ((- 2⁻¹) * T.sum (1 + T.log (square θ₁) - square μ - square θ₂))) _ H_diff₁ H_diff₂),
dsimp,
simplify_grad,
simp [T.smul.def, T.const_neg, T.const_mul, T.const_zero,
T.const_one, T.const_bit0, T.const_bit1, T.const_inv,
left_distrib, right_distrib],
rw T.mul_inv_cancel two_pos,
erw T.neg_div,
simp [mul_neg_eq_neg_mul_symm, neg_mul_eq_neg_mul_symm],
apply congr_arg, apply congr_arg,
simp only [T.mul_div_mul, square],
rw [-mul_assoc, T.mul_div_mul, (@T.div_self_square _ σ H_pre)],
simp,
rw [T.mul_inv_cancel two_pos],
simp,
rw T.div_mul_inv,
end
| ⟦μ, σ⟧ y H_y g_out (n+2) fshape H_at_idx H_pre := by idx_over
lemma f_ocont {shape : S} : is_ocontinuous (@f shape) (@f_pre shape)
| ⟦μ, σ⟧ 0 ishape H_at_idx H_pre := by { prove_ocont, apply T.continuous_mvn_kl₁, exact H_pre }
| ⟦μ, σ⟧ 1 ishape H_at_idx H_pre := by { prove_ocont }
| ⟦μ, σ⟧ (n+2) ishape H_at_idx H_pre := by idx_over
end mvn_kl
section open mvn_kl
def mvn_kl (shape : S) : det.op [shape, shape] [] :=
det.op.mk "mvn_kl" f f_pre f_pb f_odiff f_pb_correct f_ocont
end
-- Seems silly but saves some fresh-name tracking in reparam
namespace mul_add
def f {shape : S} (xs : dvec T [shape, shape, shape]) : T shape := (xs^.head * xs^.head2) + xs^.head3
def f_pre {shape : S} : precondition [shape, shape, shape] := λ xs, true
def f_pb {shape : S} (xs : dvec T [shape, shape, shape]) (y gy : T shape) : Π (idx : ℕ) (fshape : S), T fshape
| 0 fshape := force (gy * xs^.head2) fshape
| 1 fshape := force (gy * xs^.head) fshape
| 2 fshape := force gy fshape
| (n+3) _ := T.error "mul_add: index too large"
attribute [simp] f f_pre f_pb
lemma f_odiff {shape : S} : is_odifferentiable (@f shape) (@f_pre shape)
| ⟦z, σ, μ⟧ H_pre 0 fshape H_at_idx k H_k := by prove_odiff
| ⟦z, σ, μ⟧ H_pre 1 fshape H_at_idx k H_k := by prove_odiff
| ⟦z, σ, μ⟧ H_pre 2 fshape H_at_idx k H_k := by prove_odiff
| xs H_pre (n+3) fshape H_at_idx k H_k := by idx_over
lemma f_pb_correct {shape : S} : pullback_correct (@f shape) (@f_pre shape) (@f_pb shape)
| ⟦z, σ, μ⟧ y H_y g_out 0 fshape H_at_idx H_pre :=
begin
prove_pb_correct_init,
simp only [f, f_pre, f_pb, force_ok, dif_pos],
dsimp,
simp only [dif_pos, dif_neg],
dsimp,
rw -T.grad_tmulT,
simplify_grad,
reflexivity
end
| ⟦z, σ, μ⟧ y H_y g_out 1 fshape H_at_idx H_pre :=
begin
prove_pb_correct_init,
simp without mul_comm add_comm,
dsimp,
rw -T.grad_tmulT,
simplify_grad,
reflexivity
end
| ⟦z, σ, μ⟧ y H_y g_out 2 fshape H_at_idx H_pre :=
begin
prove_pb_correct_init,
simp without mul_comm add_comm,
dsimp,
rw -T.grad_tmulT,
simplify_grad,
reflexivity
end
| xs y H_y g_out (n+3) fshape H_at_idx H_pre := by idx_over
lemma f_ocont {shape : S} : is_ocontinuous (@f shape) (@f_pre shape)
| ⟦z, σ, μ⟧ 0 ishape H_at_idx H_pre := by prove_ocont
| ⟦z, σ, μ⟧ 1 ishape H_at_idx H_pre := by prove_ocont
| ⟦z, σ, μ⟧ 2 ishape H_at_idx H_pre := by prove_ocont
| xs (n+3) ishape H_at_idx H_pre := by idx_over
end mul_add
section open mul_add
def mul_add (shape : S) : det.op [shape, shape, shape] shape :=
det.op.mk "mul_add" f f_pre f_pb f_odiff f_pb_correct f_ocont
end
namespace bernoulli_neglogpdf
def f {shape : S} (xs : dvec T [shape, shape]) : ℝ := bernoulli_neglogpdf xs^.head xs^.head2
def f_pre {shape : S} : precondition [shape, shape] := λ xs, 0 < xs^.head ∧ xs^.head < 1
def f_pb {shape : S} (xs : dvec T [shape, shape]) (y gy : ℝ) : Π (idx : ℕ) (fshape : S), T fshape
| 0 fshape := force (gy ⬝ (1 - xs^.head2) / (eps shape + (1 - xs^.head)) - gy ⬝ (xs^.head2 / (eps shape + xs^.head))) fshape
| 1 fshape := force (gy ⬝ T.log (eps shape + (1 - xs^.head)) - gy ⬝ T.log (eps shape + xs^.head)) fshape
| (n+2) fshape := T.error "bernoulli_neglogpdf: index too large"
attribute [simp] f f_pre f_pb
lemma f_odiff {shape : S} : is_odifferentiable (@f shape) (@f_pre shape)
| ⟦p, z⟧ H_pre 0 fshape H_at_idx k H_k :=
have H_p₁ : p > 0, from H_pre^.left,
have H_p₂ : p < 1, from H_pre^.right,
by prove_odiff
| ⟦p, z⟧ H_pre 1 fshape H_at_idx k H_k := by prove_odiff
| ⟦μ, σ⟧ H_pre (n+2) fshape H_at_idx k H_k := by idx_over
lemma f_pb_correct {shape : S} : pullback_correct (@f shape) (@f_pre shape) (@f_pb shape)
| ⟦p, z⟧ y H_y g_out 0 fshape H_at_idx H_pre :=
have H_p : p > 0, from H_pre^.left,
have H_1mp : 1 - p > 0, from lt1_alt H_pre^.right,
have H_diff₁ : is_cdifferentiable (λ (θ₀ : T shape), g_out * -T.sum (z * T.log (eps shape + θ₀) + (1 - z) * T.log (eps shape + (1 - p)))) p, by prove_differentiable,
have H_diff₂ : is_cdifferentiable (λ (θ₀ : T shape), g_out * -T.sum (z * T.log (eps shape + p) + (1 - z) * T.log (eps shape + (1 - θ₀)))) p, by prove_differentiable,
begin
clear f_pb_correct,
assertv H_fshape_eq : shape = fshape := eq.symm H_at_idx^.right,
subst H_fshape_eq,
definev k : ℝ → ℝ := λ (x : ℝ), x * g_out,
assertv H_k_grad : ∇ k y = g_out := by { dsimp, erw [T.grad_mul₁ id, T.grad_id, one_mul] },
rw -H_k_grad,
subst H_y,
dsimp,
simp ,
rw -T.grad_tmulT,
dunfold T.bernoulli_neglogpdf,
rw T.grad_binary (λ θ₁ θ₂, g_out * - T.sum (z * T.log (eps shape + θ₁) + (1 - z) * T.log (eps shape + (1 - θ₂)))) _ H_diff₁ H_diff₂,
dsimp,
note H₁ := H_pre^.left,
note H₂ := lt1_alt H_pre^.right,
simplify_grad,
simp [T.smul.def, T.neg_div, T.const_neg],
rw [T.mul_div_mul],
simp [T.div_mul_inv],
end
| ⟦p, z⟧ y H_y g_out 1 fshape H_at_idx H_pre :=
have H_diff₁ : is_cdifferentiable (λ (θ₀ : T shape), g_out * -T.sum (θ₀ * T.log (eps shape + p) + (1 - z) * T.log (eps shape + (1 - p)))) z, by prove_differentiable,
have H_diff₂ : is_cdifferentiable (λ (θ₀ : T shape), g_out * -T.sum (z * T.log (eps shape + p) + (1 - θ₀) * T.log (eps shape + (1 - p)))) z, by prove_differentiable,
begin
clear f_pb_correct,
assertv H_fshape_eq : shape = fshape := eq.symm H_at_idx^.right,
subst H_fshape_eq,
definev k : ℝ → ℝ := λ (x : ℝ), x * g_out,
assertv H_k_grad : ∇ k y = g_out := by { dsimp, erw [T.grad_mul₁ id, T.grad_id, one_mul] },
rw -H_k_grad,
subst H_y,
dsimp,
simp,
rw -T.grad_tmulT,
dunfold T.bernoulli_neglogpdf,
rw T.grad_binary (λ θ₁ θ₂, g_out * - T.sum (θ₁ * T.log (eps shape + p) + (1 - θ₂) * T.log (eps shape + (1 - p)))) _ H_diff₁ H_diff₂,
dsimp,
simplify_grad,
simp [T.smul.def, const_neg],
end
| xs y H_y g_out (n+2) fshape H_at_idx H_pre := by idx_over
lemma f_ocont {shape : S} : is_ocontinuous (@f shape) (@f_pre shape)
| ⟦μ, σ⟧ 0 ishape H_at_idx H_pre := by { prove_ocont_init, apply continuous_bernoulli_neglogpdf₁, exact H_pre^.left, exact lt1_alt H_pre^.right }
| ⟦μ, σ⟧ 1 ishape H_at_idx H_pre := by { prove_ocont_init, apply continuous_bernoulli_neglogpdf₂, exact H_pre^.left, exact lt1_alt H_pre^.right }
| ⟦μ, σ⟧ (n+2) ishape H_at_idx H_pre := by idx_over
end bernoulli_neglogpdf
section
open bernoulli_neglogpdf
def bernoulli_neglogpdf (shape : S) : det.op [shape, shape] [] :=
det.op.mk "bernoulli_neglogpdf" f f_pre f_pb f_odiff f_pb_correct f_ocont
end
end ops
-- TODO(dhs): confirm I don't need this any more
/-
lemma mvn_kl_pre {shape : S} (xs : dvec T [shape, shape]) :
det.op.pre (det.op.special (det.special.mvn_kl shape)) xs = (dvec.head2 xs > 0) := rfl
-/
end certigrad
|
161ecb122f9f95701c2dc81fa406d90a52ff3597 | 453dcd7c0d1ef170b0843a81d7d8caedc9741dce | /analysis/measure_theory/outer_measure.lean | f7c8a2405b42a0f7c23e7b01b4b715fd6c1e3334 | [
"Apache-2.0"
] | permissive | amswerdlow/mathlib | 9af77a1f08486d8fa059448ae2d97795bd12ec0c | 27f96e30b9c9bf518341705c99d641c38638dfd0 | refs/heads/master | 1,585,200,953,598 | 1,534,275,532,000 | 1,534,275,532,000 | 144,564,700 | 0 | 0 | null | 1,534,156,197,000 | 1,534,156,197,000 | null | UTF-8 | Lean | false | false | 18,529 | 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
Outer measures -- overapproximations of measures
-/
import order.galois_connection algebra.big_operators
analysis.ennreal analysis.limits
analysis.measure_theory.measurable_space
noncomputable theory
open set lattice finset function filter encodable
open ennreal (of_real)
local attribute [instance] classical.prop_decidable
namespace measure_theory
structure outer_measure (α : Type*) :=
(measure_of : set α → ennreal)
(empty : measure_of ∅ = 0)
(mono : ∀{s₁ s₂}, s₁ ⊆ s₂ → measure_of s₁ ≤ measure_of s₂)
(Union_nat : ∀(s:ℕ → set α), measure_of (⋃i, s i) ≤ (∑i, measure_of (s i)))
namespace outer_measure
instance {α} : has_coe_to_fun (outer_measure α) := ⟨_, λ m, m.measure_of⟩
section basic
variables {α : Type*} {ms : set (outer_measure α)} {m : outer_measure α}
@[simp] theorem empty' (m : outer_measure α) : m ∅ = 0 := m.empty
theorem mono' (m : outer_measure α) {s₁ s₂}
(h : s₁ ⊆ s₂) : m s₁ ≤ m s₂ := m.mono h
theorem Union_aux (m : set α → ennreal) (m0 : m ∅ = 0)
{β} [encodable β] (s : β → set α) :
(∑ b, m (s b)) = ∑ i, m (⋃ b ∈ decode2 β i, s b) :=
begin
have H : ∀ n, m (⋃ b ∈ decode2 β n, s b) ≠ 0 → (decode2 β n).is_some,
{ intros n h,
cases decode2 β n with b,
{ exact (h (by simp [m0])).elim },
{ exact rfl } },
refine tsum_eq_tsum_of_ne_zero_bij (λ n h, option.get (H n h)) _ _ _,
{ intros m n hm hn e,
have := mem_decode2.1 (option.get_mem (H n hn)),
rwa [← e, mem_decode2.1 (option.get_mem (H m hm))] at this },
{ intros b h,
refine ⟨encode b, _, _⟩,
{ convert h, simp [ext_iff, encodek2] },
{ exact option.get_of_mem _ (encodek2 _) } },
{ intros n h,
transitivity, swap,
rw [show decode2 β n = _, from option.get_mem (H n h)],
congr, simp [ext_iff] }
end
protected theorem Union (m : outer_measure α)
{β} [encodable β] (s : β → set α) :
m (⋃i, s i) ≤ (∑i, m (s i)) :=
by rw [Union_decode2, Union_aux _ m.empty' s]; exact m.Union_nat _
lemma Union_null (m : outer_measure α)
{β} [encodable β] {s : β → set α} (h : ∀ i, m (s i) = 0) : m (⋃i, s i) = 0 :=
by simpa [h] using m.Union s
protected lemma union (m : outer_measure α) (s₁ s₂ : set α) :
m (s₁ ∪ s₂) ≤ m s₁ + m s₂ :=
begin
convert m.Union (λ b, cond b s₁ s₂),
{ simp [union_eq_Union] },
{ rw tsum_fintype, change _ = _ + _, simp }
end
lemma union_null (m : outer_measure α) {s₁ s₂ : set α}
(h₁ : m s₁ = 0) (h₂ : m s₂ = 0) : m (s₁ ∪ s₂) = 0 :=
by simpa [h₁, h₂] using m.union s₁ s₂
@[extensionality] lemma ext : ∀{μ₁ μ₂ : outer_measure α},
(∀s, μ₁ s = μ₂ s) → μ₁ = μ₂
| ⟨m₁, e₁, _, u₁⟩ ⟨m₂, e₂, _, u₂⟩ h := by congr; exact funext h
instance : has_zero (outer_measure α) :=
⟨{ measure_of := λ_, 0,
empty := rfl,
mono := assume _ _ _, le_refl 0,
Union_nat := assume s, ennreal.zero_le }⟩
@[simp] theorem zero_apply (s : set α) : (0 : outer_measure α) s = 0 := rfl
instance : inhabited (outer_measure α) := ⟨0⟩
instance : has_add (outer_measure α) :=
⟨λm₁ m₂,
{ measure_of := λs, m₁ s + m₂ s,
empty := show m₁ ∅ + m₂ ∅ = 0, by simp [outer_measure.empty],
mono := assume s₁ s₂ h, add_le_add' (m₁.mono h) (m₂.mono h),
Union_nat := assume s,
calc m₁ (⋃i, s i) + m₂ (⋃i, s i) ≤
(∑i, m₁ (s i)) + (∑i, m₂ (s i)) :
add_le_add' (m₁.Union_nat s) (m₂.Union_nat s)
... = _ : ennreal.tsum_add.symm}⟩
@[simp] theorem add_apply (m₁ m₂ : outer_measure α) (s : set α) :
(m₁ + m₂) s = m₁ s + m₂ s := rfl
instance : add_comm_monoid (outer_measure α) :=
{ zero := 0,
add := (+),
add_comm := assume a b, ext $ assume s, add_comm _ _,
add_assoc := assume a b c, ext $ assume s, add_assoc _ _ _,
add_zero := assume a, ext $ assume s, add_zero _,
zero_add := assume a, ext $ assume s, zero_add _ }
instance : has_bot (outer_measure α) := ⟨0⟩
instance outer_measure.order_bot : order_bot (outer_measure α) :=
{ le := λm₁ m₂, ∀s, m₁ s ≤ m₂ s,
bot := 0,
le_refl := assume a s, le_refl _,
le_trans := assume a b c hab hbc s, le_trans (hab s) (hbc s),
le_antisymm := assume a b hab hba, ext $ assume s, le_antisymm (hab s) (hba s),
bot_le := assume a s, ennreal.zero_le }
section supremum
instance : has_Sup (outer_measure α) :=
⟨λms, {
measure_of := λs, ⨆m:ms, m.val s,
empty := le_zero_iff_eq.1 $ supr_le $ λ ⟨m, h⟩, le_of_eq m.empty,
mono := assume s₁ s₂ hs, supr_le_supr $ assume ⟨m, hm⟩, m.mono hs,
Union_nat := assume f, supr_le $ assume m,
calc m.val (⋃i, f i) ≤ (∑ (i : ℕ), m.val (f i)) : m.val.Union_nat _
... ≤ (∑i, ⨆m:ms, m.val (f i)) :
ennreal.tsum_le_tsum $ assume i, le_supr (λm:ms, m.val (f i)) m }⟩
private lemma le_Sup (hm : m ∈ ms) : m ≤ Sup ms :=
λ s, le_supr (λm:ms, m.val s) ⟨m, hm⟩
private lemma Sup_le (hm : ∀m' ∈ ms, m' ≤ m) : Sup ms ≤ m :=
λ s, (supr_le $ assume ⟨m', h'⟩, (hm m' h') s)
instance : has_Inf (outer_measure α) := ⟨λs, Sup {m | ∀m'∈s, m ≤ m'}⟩
private lemma Inf_le (hm : m ∈ ms) : Inf ms ≤ m := Sup_le $ assume m' h', h' _ hm
private lemma le_Inf (hm : ∀m' ∈ ms, m ≤ m') : m ≤ Inf ms := le_Sup hm
instance : complete_lattice (outer_measure α) :=
{ top := Sup univ,
le_top := assume a, le_Sup (mem_univ a),
Sup := Sup,
Sup_le := assume s m, Sup_le,
le_Sup := assume s m, le_Sup,
Inf := Inf,
Inf_le := assume s m, Inf_le,
le_Inf := assume s m, le_Inf,
sup := λa b, Sup {a, b},
le_sup_left := assume a b, le_Sup $ by simp,
le_sup_right := assume a b, le_Sup $ by simp,
sup_le := assume a b c ha hb, Sup_le $ by simp [or_imp_distrib, ha, hb] {contextual:=tt},
inf := λa b, Inf {a, b},
inf_le_left := assume a b, Inf_le $ by simp,
inf_le_right := assume a b, Inf_le $ by simp,
le_inf := assume a b c ha hb, le_Inf $ by simp [or_imp_distrib, ha, hb] {contextual:=tt},
.. outer_measure.order_bot }
@[simp] theorem Sup_apply (ms : set (outer_measure α)) (s : set α) :
(Sup ms) s = ⨆ m : ms, m s := rfl
@[simp] theorem supr_apply {ι} (f : ι → outer_measure α) (s : set α) :
(⨆ i : ι, f i) s = ⨆ i, f i s :=
le_antisymm
(supr_le $ λ ⟨_, i, rfl⟩, le_supr _ i)
(supr_le $ λ i, le_supr
(λ (m : {a : outer_measure α // ∃ i, a = f i}), m.1 s)
⟨f i, i, rfl⟩)
@[simp] theorem sup_apply (m₁ m₂ : outer_measure α) (s : set α) :
(m₁ ⊔ m₂) s = m₁ s ⊔ m₂ s :=
by have := supr_apply (λ b, cond b m₁ m₂) s;
rwa [supr_bool_eq, supr_bool_eq] at this
end supremum
def map {β} (f : α → β) (m : outer_measure α) : outer_measure β :=
{ measure_of := λs, m (f ⁻¹' s),
empty := m.empty,
mono := λ s t h, m.mono (preimage_mono h),
Union_nat := λ s, by rw [preimage_Union]; exact
m.Union_nat (λ i, f ⁻¹' s i) }
@[simp] theorem map_apply {β} (f : α → β)
(m : outer_measure α) (s : set β) : map f m s = m (f ⁻¹' s) := rfl
@[simp] theorem map_id (m : outer_measure α) : map id m = m :=
ext $ λ s, rfl
@[simp] theorem map_map {β γ} (f : α → β) (g : β → γ)
(m : outer_measure α) : map g (map f m) = map (g ∘ f) m :=
ext $ λ s, rfl
instance : functor outer_measure := {map := λ α β, map}
instance : is_lawful_functor outer_measure :=
{ id_map := λ α, map_id,
comp_map := λ α β γ f g m, (map_map f g m).symm }
/-- The dirac outer measure. -/
def dirac (a : α) : outer_measure α :=
{ measure_of := λs, ⨆ h : a ∈ s, 1,
empty := by simp,
mono := λ s t h, supr_le_supr2 (λ h', ⟨h h', le_refl _⟩),
Union_nat := λ s, supr_le $ λ h,
let ⟨i, h⟩ := mem_Union.1 h in
le_trans (by exact le_supr _ h) (ennreal.le_tsum i) }
@[simp] theorem dirac_apply (a : α) (s : set α) :
dirac a s = ⨆ h : a ∈ s, 1 := rfl
def sum {ι} (f : ι → outer_measure α) : outer_measure α :=
{ measure_of := λs, ∑ i, f i s,
empty := by simp,
mono := λ s t h, ennreal.tsum_le_tsum (λ i, (f i).mono' h),
Union_nat := λ s, by rw ennreal.tsum_comm; exact
ennreal.tsum_le_tsum (λ i, (f i).Union_nat _) }
@[simp] theorem sum_apply {ι} (f : ι → outer_measure α) (s : set α) :
sum f s = ∑ i, f i s := rfl
def smul (a : ennreal) (m : outer_measure α) : outer_measure α :=
{ measure_of := λs, a * m s,
empty := by simp,
mono := λ s t h, ennreal.mul_le_mul (le_refl _) (m.mono' h),
Union_nat := λ s, by rw ennreal.mul_tsum; exact
ennreal.mul_le_mul (le_refl _) (m.Union_nat _) }
local infixr ` • ` := smul
@[simp] theorem smul_apply (a : ennreal) (m : outer_measure α) (s : set α) :
(a • m) s = a * m s := rfl
theorem smul_add (a : ennreal) (m₁ m₂ : outer_measure α) :
a • (m₁ + m₂) = a • m₁ + a • m₂ := ext $ λ s, mul_add _ _ _
theorem add_smul (a b : ennreal) (m : outer_measure α) :
(a + b) • m = a • m + b • m := ext $ λ s, add_mul _ _ _
theorem mul_smul (a b : ennreal) (m : outer_measure α) :
(a * b) • m = a • b • m := ext $ λ s, mul_assoc _ _ _
@[simp] theorem one_smul (m : outer_measure α) :
1 • m = m := ext $ λ s, one_mul _
@[simp] theorem zero_smul (m : outer_measure α) :
0 • m = 0 := ext $ λ s, zero_mul _
@[simp] theorem smul_zero (a : ennreal) :
a • (0 : outer_measure α) = 0 := ext $ λ s, mul_zero _
theorem smul_dirac_apply (a : ennreal) (b : α) (s : set α) :
(a • dirac b) s = ⨆ h : b ∈ s, a :=
by by_cases b ∈ s; simp [h]
theorem top_apply {s : set α} (h : s ≠ ∅) : (⊤ : outer_measure α) s = ⊤ :=
let ⟨a, as⟩ := set.exists_mem_of_ne_empty h in
top_unique $ le_supr_of_le ⟨⊤ • dirac a, trivial⟩ $
by simp [smul_dirac_apply, as]
end basic
section of_function
set_option eqn_compiler.zeta true
/-- Given any function `m` assigning measures to sets satisying `m ∅ = 0`, there is
a unique maximal outer measure `μ` satisfying `μ s ≤ m s` for all `s : set α`. -/
protected def of_function {α : Type*} (m : set α → ennreal) (m_empty : m ∅ = 0) :
outer_measure α :=
let μ := λs, ⨅{f : ℕ → set α} (h : s ⊆ ⋃i, f i), ∑i, m (f i) in
{ measure_of := μ,
empty := le_antisymm
(infi_le_of_le (λ_, ∅) $ infi_le_of_le (empty_subset _) $ by simp [m_empty])
(zero_le _),
mono := assume s₁ s₂ hs, infi_le_infi $ assume f,
infi_le_infi2 $ assume hb, ⟨subset.trans hs hb, le_refl _⟩,
Union_nat := assume s, ennreal.le_of_forall_epsilon_le $ begin
assume ε hε (hb : (∑i, μ (s i)) < ⊤),
rcases ennreal.exists_pos_sum_of_encodable
(ennreal.zero_lt_of_real_iff.2 hε) ℕ with ⟨ε', hε', hl⟩,
refine le_trans _ (add_le_add_left' (le_of_lt hl)),
rw ← ennreal.tsum_add,
have : ∀i, ∃f:ℕ → set α, s i ⊆ (⋃i, f i) ∧ (∑i, m (f i)) < μ (s i) + of_real (ε' i),
{ intro,
have : μ (s i) < μ (s i) + of_real (ε' i) :=
ennreal.lt_add_right
(lt_of_le_of_lt (by apply ennreal.le_tsum) hb)
(by simpa using hε' i),
simpa [μ, infi_lt_iff] },
cases classical.axiom_of_choice this with f hf,
dsimp at f hf, clear this,
refine le_trans _ (ennreal.tsum_le_tsum $ λ i, le_of_lt (hf i).2),
rw [← ennreal.tsum_prod, ← tsum_equiv equiv.nat_prod_nat_equiv_nat.symm],
swap, {apply_instance},
refine infi_le_of_le _ (infi_le _ _),
exact Union_subset (λ i, subset.trans (hf i).1 $
Union_subset $ λ j, subset.trans (by simp) $
subset_Union _ $ equiv.nat_prod_nat_equiv_nat (i, j)),
end }
theorem of_function_le {α : Type*} (m : set α → ennreal) (m_empty s) :
outer_measure.of_function m m_empty s ≤ m s :=
let f : ℕ → set α := λi, nat.rec_on i s (λn s, ∅) in
infi_le_of_le f $ infi_le_of_le (subset_Union f 0) $ le_of_eq $
calc (∑i, m (f i)) = ({0} : finset ℕ).sum (λi, m (f i)) :
tsum_eq_sum $ by intro i; cases i; simp [m_empty]
... = m s : by simp; refl
theorem le_of_function {α : Type*} {m m_empty} {μ : outer_measure α} :
μ ≤ outer_measure.of_function m m_empty ↔ ∀ s, μ s ≤ m s :=
⟨λ H s, le_trans (H _) (of_function_le _ _ _),
λ H s, le_infi $ λ f, le_infi $ λ hs,
le_trans (μ.mono hs) $ le_trans (μ.Union f) $
ennreal.tsum_le_tsum $ λ i, H _⟩
end of_function
section caratheodory_measurable
universe u
parameters {α : Type u} (m : outer_measure α)
include m
local attribute [simp] set.inter_comm set.inter_left_comm set.inter_assoc
variables {s s₁ s₂ : set α}
private def C (s : set α) := ∀t, m t = m (t ∩ s) + m (t \ s)
private lemma C_iff_le {s : set α} : C s ↔ ∀t, m (t ∩ s) + m (t \ s) ≤ m t :=
forall_congr $ λ t, le_antisymm_iff.trans $ and_iff_right $
by convert m.union _ _; rw inter_union_diff t s
@[simp] private lemma C_empty : C ∅ := by simp [C, m.empty, diff_empty]
private lemma C_compl : C s₁ → C (- s₁) := by simp [C, diff_eq]
@[simp] private lemma C_compl_iff : C (- s) ↔ C s :=
⟨λ h, by simpa using C_compl m h, C_compl⟩
private lemma C_union (h₁ : C s₁) (h₂ : C s₂) : C (s₁ ∪ s₂) :=
λ t, begin
rw [h₁ t, h₂ (t ∩ s₁), h₂ (t \ s₁), h₁ (t ∩ (s₁ ∪ s₂)),
inter_diff_assoc _ _ s₁, set.inter_assoc _ _ s₁,
inter_eq_self_of_subset_right (set.subset_union_left _ _),
union_diff_left, h₂ (t ∩ s₁)],
simp [diff_eq]
end
private lemma measure_inter_union (h : s₁ ∩ s₂ ⊆ ∅) (h₁ : C s₁) {t : set α} :
m (t ∩ (s₁ ∪ s₂)) = m (t ∩ s₁) + m (t ∩ s₂) :=
by rw [h₁, set.inter_assoc, union_inter_cancel_left h,
inter_diff_assoc, union_diff_cancel_left h]
private lemma C_Union_lt {s : ℕ → set α} : ∀{n:ℕ}, (∀i<n, C (s i)) → C (⋃i<n, s i)
| 0 h := by simp [nat.not_lt_zero]
| (n + 1) h := by rw Union_lt_succ; exact C_union m
(h n (le_refl (n + 1)))
(C_Union_lt $ assume i hi, h i $ lt_of_lt_of_le hi $ nat.le_succ _)
private lemma C_inter (h₁ : C s₁) (h₂ : C s₂) : C (s₁ ∩ s₂) :=
by rw [← C_compl_iff, compl_inter]; from C_union _ (C_compl _ h₁) (C_compl _ h₂)
private lemma C_sum {s : ℕ → set α} (h : ∀i, C (s i)) (hd : pairwise (disjoint on s)) {t : set α} :
∀ {n}, (finset.range n).sum (λi, m (t ∩ s i)) = m (t ∩ ⋃i<n, s i)
| 0 := by simp [nat.not_lt_zero, m.empty]
| (nat.succ n) := begin
simp [Union_lt_succ],
rw [measure_inter_union m _ (h n), C_sum],
intro a, simpa using λ h₁ i hi h₂, hd _ _ (ne_of_gt hi) ⟨h₁, h₂⟩
end
private lemma C_Union_nat {s : ℕ → set α} (h : ∀i, C (s i))
(hd : pairwise (disjoint on s)) : C (⋃i, s i) :=
C_iff_le.2 $ λ t, begin
have hp : m (t ∩ ⋃i, s i) ≤ (⨆n, m (t ∩ ⋃i<n, s i)),
{ convert m.Union (λ i, t ∩ s i),
{ rw inter_Union_left },
{ simp [ennreal.tsum_eq_supr_nat, C_sum m h hd] } },
refine le_trans (add_le_add_right' hp) _,
rw ennreal.supr_add,
refine supr_le (λ n, le_trans (add_le_add_left' _)
(ge_of_eq (C_Union_lt m (λ i _, h i) _))),
refine m.mono (diff_subset_diff_right _),
exact bUnion_subset (λ i _, subset_Union _ i),
end
private lemma f_Union {s : ℕ → set α} (h : ∀i, C (s i))
(hd : pairwise (disjoint on s)) : m (⋃i, s i) = ∑i, m (s i) :=
begin
refine le_antisymm (m.Union_nat s) _,
rw ennreal.tsum_eq_supr_nat,
refine supr_le (λ n, _),
have := @C_sum _ m _ h hd univ n,
simp at this, simp [this],
exact m.mono (bUnion_subset (λ i _, subset_Union _ i)),
end
private def caratheodory_dynkin : measurable_space.dynkin_system α :=
{ has := C,
has_empty := C_empty,
has_compl := assume s, C_compl,
has_Union_nat := assume f hf hn, C_Union_nat hn hf }
/-- Given an outer measure `μ`, the Caratheodory measurable space is
defined such that `s` is measurable if `∀t, μ t = μ (t ∩ s) + μ (t \ s)`. -/
protected def caratheodory : measurable_space α :=
caratheodory_dynkin.to_measurable_space $ assume s₁ s₂, C_inter
lemma is_caratheodory {s : set α} :
caratheodory.is_measurable s ↔ ∀t, m t = m (t ∩ s) + m (t \ s) :=
iff.rfl
lemma is_caratheodory_le {s : set α} :
caratheodory.is_measurable s ↔ ∀t, m (t ∩ s) + m (t \ s) ≤ m t :=
C_iff_le
protected lemma Union_eq_of_caratheodory {s : ℕ → set α}
(h : ∀i, caratheodory.is_measurable (s i)) (hd : pairwise (disjoint on s)) :
m (⋃i, s i) = ∑i, m (s i) :=
f_Union h hd
end caratheodory_measurable
variables {α : Type*}
lemma caratheodory_is_measurable {m : set α → ennreal} {s : set α}
{h₀ : m ∅ = 0} (hs : ∀t, m (t ∩ s) + m (t \ s) ≤ m t) :
(outer_measure.of_function m h₀).caratheodory.is_measurable s :=
let o := (outer_measure.of_function m h₀) in
(is_caratheodory_le o).2 $ λ t,
le_infi $ λ f, le_infi $ λ hf, begin
refine le_trans (add_le_add'
(infi_le_of_le (λi, f i ∩ s) $ infi_le _ _)
(infi_le_of_le (λi, f i \ s) $ infi_le _ _)) _,
{ rw ← inter_Union_right,
exact inter_subset_inter_left _ hf },
{ rw ← diff_Union_right,
exact diff_subset_diff_left hf },
{ rw ← ennreal.tsum_add,
exact ennreal.tsum_le_tsum (λ i, hs _) }
end
@[simp] theorem zero_caratheodory : (0 : outer_measure α).caratheodory = ⊤ :=
top_unique $ λ s _ t, (add_zero _).symm
theorem le_add_caratheodory (m₁ m₂ : outer_measure α) :
m₁.caratheodory ⊓ m₂.caratheodory ≤ (m₁ + m₂ : outer_measure α).caratheodory :=
λ s ⟨hs₁, hs₂⟩ t, by simp [hs₁ t, hs₂ t]
theorem le_sum_caratheodory {ι} (m : ι → outer_measure α) :
(⨅ i, (m i).caratheodory) ≤ (sum m).caratheodory :=
λ s h t, by simp [λ i,
measurable_space.is_measurable_infi.1 h i t, ennreal.tsum_add]
theorem le_smul_caratheodory (a : ennreal) (m : outer_measure α) :
m.caratheodory ≤ (smul a m).caratheodory :=
λ s h t, by simp [h t, mul_add]
@[simp] theorem dirac_caratheodory (a : α) : (dirac a).caratheodory = ⊤ :=
top_unique $ λ s _ t, begin
by_cases a ∈ t; simp [h],
by_cases a ∈ s; simp [h]
end
end outer_measure
end measure_theory
|
701d91996e2df14085f123086bcdd68e27521ee2 | a45212b1526d532e6e83c44ddca6a05795113ddc | /src/tactic/abel.lean | 5d6631b77ea9d79f7a3b608d4417a5662b94365d | [
"Apache-2.0"
] | permissive | fpvandoorn/mathlib | b21ab4068db079cbb8590b58fda9cc4bc1f35df4 | b3433a51ea8bc07c4159c1073838fc0ee9b8f227 | refs/heads/master | 1,624,791,089,608 | 1,556,715,231,000 | 1,556,715,231,000 | 165,722,980 | 5 | 0 | Apache-2.0 | 1,552,657,455,000 | 1,547,494,646,000 | Lean | UTF-8 | Lean | false | false | 12,348 | lean | /-
Copyright (c) 2018 Mario Carneiro. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Mario Carneiro
Evaluate expressions in the language of commutative monoids and groups.
-/
import algebra.group_power tactic.norm_num
namespace tactic
namespace abel
meta structure cache :=
(α : expr)
(univ : level)
(α0 : expr)
(is_group : bool)
(inst : expr)
meta def mk_cache (e : expr) : tactic cache :=
do α ← infer_type e,
c ← mk_app ``add_comm_monoid [α] >>= mk_instance,
cg ← try_core (mk_app ``add_comm_group [α] >>= mk_instance),
u ← mk_meta_univ,
infer_type α >>= unify (expr.sort (level.succ u)),
u ← get_univ_assignment u,
α0 ← expr.of_nat α 0,
match cg with
| (some cg) := return ⟨α, u, α0, tt, cg⟩
| _ := return ⟨α, u, α0, ff, c⟩
end
meta def cache.app (c : cache) (n : name) (inst : expr) : list expr → expr :=
(@expr.const tt n [c.univ] c.α inst).mk_app
meta def cache.mk_app (c : cache) (n inst : name) (l : list expr) : tactic expr :=
do m ← mk_instance ((expr.const inst [c.univ] : expr) c.α), return $ c.app n m l
meta def add_g : name → name
| (name.mk_string s p) := name.mk_string (s ++ "g") p
| n := n
meta def cache.iapp (c : cache) (n : name) : list expr → expr :=
c.app (if c.is_group then add_g n else n) c.inst
def term {α} [add_comm_monoid α] (n : ℕ) (x a : α) : α := add_monoid.smul n x + a
def termg {α} [add_comm_group α] (n : ℤ) (x a : α) : α := gsmul n x + a
meta def cache.mk_term (c : cache) (n x a : expr) : expr := c.iapp ``term [n, x, a]
meta def cache.int_to_expr (c : cache) (n : ℤ) : tactic expr :=
expr.of_int (if c.is_group then `(ℤ) else `(ℕ)) n
meta inductive normal_expr : Type
| zero (e : expr) : normal_expr
| nterm (e : expr) (n : expr × ℤ) (x : expr) (a : normal_expr) : normal_expr
meta def normal_expr.e : normal_expr → expr
| (normal_expr.zero e) := e
| (normal_expr.nterm e _ _ _) := e
meta instance : has_coe normal_expr expr := ⟨normal_expr.e⟩
meta def normal_expr.term' (c : cache) (n : expr × ℤ) (x : expr) (a : normal_expr) : normal_expr :=
normal_expr.nterm (c.mk_term n.1 x a) n x a
meta def normal_expr.zero' (c : cache) : normal_expr := normal_expr.zero c.α0
meta def normal_expr.to_list : normal_expr → list (ℤ × expr)
| (normal_expr.zero _) := []
| (normal_expr.nterm _ (_, n) x a) := (n, x) :: a.to_list
open normal_expr
meta def normal_expr.to_string (e : normal_expr) : string :=
" + ".intercalate $ (to_list e).map $
λ ⟨n, e⟩, to_string n ++ " • (" ++ to_string e ++ ")"
meta def normal_expr.pp (e : normal_expr) : tactic format :=
do l ← (to_list e).mmap (λ ⟨n, e⟩, do
pe ← pp e, return (to_fmt n ++ " • (" ++ pe ++ ")")),
return $ format.join $ l.intersperse ↑" + "
meta instance : has_to_tactic_format normal_expr := ⟨normal_expr.pp⟩
meta def normal_expr.refl_conv (e : normal_expr) : tactic (normal_expr × expr) :=
do p ← mk_eq_refl e, return (e, p)
theorem const_add_term {α} [add_comm_monoid α] (k n x a a') (h : k + a = a') :
k + @term α _ n x a = term n x a' := by simp [h.symm, term]
theorem const_add_termg {α} [add_comm_group α] (k n x a a') (h : k + a = a') :
k + @termg α _ n x a = termg n x a' := by simp [h.symm, termg]
theorem term_add_const {α} [add_comm_monoid α] (n x a k a') (h : a + k = a') :
@term α _ n x a + k = term n x a' := by simp [h.symm, term]
theorem term_add_constg {α} [add_comm_group α] (n x a k a') (h : a + k = a') :
@termg α _ n x a + k = termg n x a' := by simp [h.symm, termg]
theorem term_add_term {α} [add_comm_monoid α] (n₁ x a₁ n₂ a₂ n' a')
(h₁ : n₁ + n₂ = n') (h₂ : a₁ + a₂ = a') :
@term α _ n₁ x a₁ + @term α _ n₂ x a₂ = term n' x a' :=
by simp [h₁.symm, h₂.symm, term, add_monoid.add_smul]
theorem term_add_termg {α} [add_comm_group α] (n₁ x a₁ n₂ a₂ n' a')
(h₁ : n₁ + n₂ = n') (h₂ : a₁ + a₂ = a') :
@termg α _ n₁ x a₁ + @termg α _ n₂ x a₂ = termg n' x a' :=
by simp [h₁.symm, h₂.symm, termg, add_gsmul]
theorem zero_term {α} [add_comm_monoid α] (x a) : @term α _ 0 x a = a :=
by simp [term]
theorem zero_termg {α} [add_comm_group α] (x a) : @termg α _ 0 x a = a :=
by simp [termg]
meta def eval_add (c : cache) : normal_expr → normal_expr → tactic (normal_expr × expr)
| (zero _) e₂ := do
p ← mk_app ``zero_add [e₂],
return (e₂, p)
| e₁ (zero _) := do
p ← mk_app ``add_zero [e₁],
return (e₁, p)
| he₁@(nterm e₁ n₁ x₁ a₁) he₂@(nterm e₂ n₂ x₂ a₂) :=
if expr.lex_lt x₁ x₂ then do
(a', h) ← eval_add a₁ he₂,
return (term' c n₁ x₁ a', c.iapp ``term_add_const [n₁.1, x₁, a₁, e₂, a', h])
else if x₁ ≠ x₂ then do
(a', h) ← eval_add he₁ a₂,
return (term' c n₂ x₂ a', c.iapp ``const_add_term [e₁, n₂.1, x₂, a₂, a', h])
else do
(n', h₁) ← mk_app ``has_add.add [n₁.1, n₂.1] >>= norm_num,
(a', h₂) ← eval_add a₁ a₂,
let k := n₁.2 + n₂.2,
let p₁ := c.iapp ``term_add_term [n₁.1, x₁, a₁, n₂.1, a₂, n', a', h₁, h₂],
if k = 0 then do
p ← mk_eq_trans p₁ (c.iapp ``zero_term [x₁, a']),
return (a', p)
else return (term' c (n', k) x₁ a', p₁)
theorem term_neg {α} [add_comm_group α] (n x a n' a')
(h₁ : -n = n') (h₂ : -a = a') :
-@termg α _ n x a = termg n' x a' :=
by simp [h₂.symm, h₁.symm, termg]
meta def eval_neg (c : cache) : normal_expr → tactic (normal_expr × expr)
| (zero e) := do
p ← c.mk_app ``neg_zero ``add_group [],
return (zero' c, p)
| (nterm e n x a) := do
(n', h₁) ← mk_app ``has_neg.neg [n.1] >>= norm_num,
(a', h₂) ← eval_neg a,
return (term' c (n', -n.2) x a',
c.app ``term_neg c.inst [n.1, x, a, n', a', h₁, h₂])
def smul {α} [add_comm_monoid α] (n : ℕ) (x : α) : α := add_monoid.smul n x
def smulg {α} [add_comm_group α] (n : ℤ) (x : α) : α := gsmul n x
theorem zero_smul {α} [add_comm_monoid α] (c) : smul c (0 : α) = 0 :=
by simp [smul]
theorem zero_smulg {α} [add_comm_group α] (c) : smulg c (0 : α) = 0 :=
by simp [smulg]
theorem term_smul {α} [add_comm_monoid α] (c n x a n' a')
(h₁ : c * n = n') (h₂ : smul c a = a') :
smul c (@term α _ n x a) = term n' x a' :=
by simp [h₂.symm, h₁.symm, term, smul, add_monoid.smul_add, add_monoid.mul_smul]
theorem term_smulg {α} [add_comm_group α] (c n x a n' a')
(h₁ : c * n = n') (h₂ : smulg c a = a') :
smulg c (@termg α _ n x a) = termg n' x a' :=
by simp [h₂.symm, h₁.symm, termg, smulg, gsmul_add, gsmul_mul]
meta def eval_smul (c : cache) (k : expr × ℤ) :
normal_expr → tactic (normal_expr × expr)
| (zero _) := return (zero' c, c.iapp ``zero_smul [k.1])
| (nterm e n x a) := do
(n', h₁) ← mk_app ``has_mul.mul [k.1, n.1] >>= norm_num,
(a', h₂) ← eval_smul a,
return (term' c (n', k.2 * n.2) x a',
c.iapp ``term_smul [k.1, n.1, x, a, n', a', h₁, h₂])
theorem term_atom {α} [add_comm_monoid α] (x : α) : x = term 1 x 0 :=
by simp [term]
theorem term_atomg {α} [add_comm_group α] (x : α) : x = termg 1 x 0 :=
by simp [termg]
meta def eval_atom (c : cache) (e : expr) : tactic (normal_expr × expr) :=
do n1 ← c.int_to_expr 1,
return (term' c (n1, 1) e (zero' c), c.iapp ``term_atom [e])
lemma unfold_sub {α} [add_group α] (a b c : α)
(h : a + -b = c) : a - b = c := h
theorem unfold_smul {α} [add_comm_monoid α] (n) (x y : α)
(h : smul n x = y) : add_monoid.smul n x = y := h
theorem unfold_smulg {α} [add_comm_group α] (n : ℕ) (x y : α)
(h : smulg (int.of_nat n) x = y) : add_monoid.smul n x = y := h
theorem unfold_gsmul {α} [add_comm_group α] (n : ℤ) (x y : α)
(h : smulg n x = y) : gsmul n x = y := h
lemma subst_into_smul {α} [add_comm_monoid α]
(l r tl tr t) (prl : l = tl) (prr : r = tr)
(prt : @smul α _ tl tr = t) : smul l r = t :=
by simp [prl, prr, prt]
lemma subst_into_smulg {α} [add_comm_group α]
(l r tl tr t) (prl : l = tl) (prr : r = tr)
(prt : @smulg α _ tl tr = t) : smulg l r = t :=
by simp [prl, prr, prt]
meta def eval (c : cache) : expr → tactic (normal_expr × expr)
| `(%%e₁ + %%e₂) := do
(e₁', p₁) ← eval e₁,
(e₂', p₂) ← eval e₂,
(e', p') ← eval_add c e₁' e₂',
p ← c.mk_app ``norm_num.subst_into_sum ``has_add [e₁, e₂, e₁', e₂', e', p₁, p₂, p'],
return (e', p)
| `(%%e₁ - %%e₂) := do
e₂' ← mk_app ``has_neg.neg [e₂],
e ← mk_app ``has_add.add [e₁, e₂'],
(e', p) ← eval e,
p' ← c.mk_app ``unfold_sub ``add_group [e₁, e₂, e', p],
return (e', p')
| `(- %%e) := do
(e₁, p₁) ← eval e,
(e₂, p₂) ← eval_neg c e₁,
p ← c.mk_app ``norm_num.subst_into_neg ``has_neg [e, e₁, e₂, p₁, p₂],
return (e₂, p)
| `(add_monoid.smul %%e₁ %%e₂) := do
n ← if c.is_group then mk_app ``int.of_nat [e₁] else return e₁,
(e', p) ← eval $ c.iapp ``smul [n, e₂],
return (e', c.iapp ``unfold_smul [e₁, e₂, e', p])
| `(gsmul %%e₁ %%e₂) := do
guardb c.is_group,
(e', p) ← eval $ c.iapp ``smul [e₁, e₂],
return (e', c.app ``unfold_gsmul c.inst [e₁, e₂, e', p])
| `(smul %%e₁ %%e₂) := do
guard (¬ c.is_group),
(e₁', p₁) ← norm_num.derive e₁ <|> refl_conv e₁, n ← e₁'.to_nat,
(e₂', p₂) ← eval e₂,
(e', p) ← eval_smul c (e₁', n) e₂',
return (e', c.iapp ``subst_into_smul [e₁, e₂, e₁', e₂', e', p₁, p₂, p])
| `(smulg %%e₁ %%e₂) := do
guardb c.is_group,
(e₁', p₁) ← norm_num.derive e₁ <|> refl_conv e₁, n ← e₁'.to_int,
(e₂', p₂) ← eval e₂,
(e', p) ← eval_smul c (e₁', n) e₂',
return (e', c.iapp ``subst_into_smul [e₁, e₂, e₁', e₂', e', p₁, p₂, p])
| e := eval_atom c e
meta def eval' (c : cache) (e : expr) : tactic (expr × expr) :=
do (e', p) ← eval c e, return (e', p)
@[derive has_reflect]
inductive normalize_mode | raw | term
meta def normalize (mode := normalize_mode.term) (e : expr) : tactic (expr × expr) := do
pow_lemma ← simp_lemmas.mk.add_simp ``pow_one,
let lemmas := match mode with
| normalize_mode.term :=
[``term.equations._eqn_1, ``termg.equations._eqn_1,
``add_zero, ``add_monoid.one_smul, ``one_gsmul]
| _ := []
end,
lemmas ← lemmas.mfoldl simp_lemmas.add_simp simp_lemmas.mk,
(_, e', pr) ← ext_simplify_core () {}
simp_lemmas.mk (λ _, failed) (λ _ _ _ _ e, do
c ← mk_cache e,
(new_e, pr) ← match mode with
| normalize_mode.raw := eval' c
| normalize_mode.term := trans_conv (eval' c) (simplify lemmas [])
end e,
guard (¬ new_e =ₐ e),
return ((), new_e, some pr, ff))
(λ _ _ _ _ _, failed) `eq e,
return (e', pr)
end abel
namespace interactive
open interactive interactive.types lean.parser
open tactic.abel
local postfix `?`:9001 := optional
/-- Tactic for solving equations in the language of
commutative monoids and groups.
This version of `abel` fails if the target is not an equality
that is provable by the axioms of commutative monoids/groups. -/
meta def abel1 : tactic unit :=
do `(%%e₁ = %%e₂) ← target,
c ← mk_cache e₁,
(e₁', p₁) ← eval c e₁,
(e₂', p₂) ← eval c e₂,
is_def_eq e₁' e₂',
p ← mk_eq_symm p₂ >>= mk_eq_trans p₁,
tactic.exact p
meta def abel.mode : lean.parser abel.normalize_mode :=
with_desc "(raw|term)?" $
do mode ← ident?, match mode with
| none := return abel.normalize_mode.term
| some `term := return abel.normalize_mode.term
| some `raw := return abel.normalize_mode.raw
| _ := failed
end
/-- Tactic for solving equations in the language of
commutative monoids and groups.
Attempts to prove the goal outright if there is no `at`
specifier and the target is an equality, but if this
fails it falls back to rewriting all monoid expressions
into a normal form. -/
meta def abel (SOP : parse abel.mode) (loc : parse location) : tactic unit :=
match loc with
| interactive.loc.ns [none] := abel1
| _ := failed
end <|>
do ns ← loc.get_locals,
tt ← tactic.replace_at (normalize SOP) ns loc.include_goal
| fail "abel failed to simplify",
when loc.include_goal $ try tactic.reflexivity
end interactive
end tactic
|
371acbe2667d59bdf31d8257336616cfa2b14cee | 9dc8cecdf3c4634764a18254e94d43da07142918 | /src/algebra/hom/freiman.lean | 367d5689379f4d34b9d62d7eb8245551f71f1e09 | [
"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 | 17,472 | lean | /-
Copyright (c) 2022 Yaël Dillies. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yaël Dillies
-/
import algebra.big_operators.multiset
import data.fun_like.basic
/-!
# Freiman homomorphisms
In this file, we define Freiman homomorphisms. A `n`-Freiman homomorphism on `A` is a function
`f : α → β` such that `f (x₁) * ... * f (xₙ) = f (y₁) * ... * f (yₙ)` for all
`x₁, ..., xₙ, y₁, ..., yₙ ∈ A` such that `x₁ * ... * xₙ = y₁ * ... * yₙ`. In particular, any
`mul_hom` is a Freiman homomorphism.
They are of interest in additive combinatorics.
## Main declaration
* `freiman_hom`: Freiman homomorphism.
* `add_freiman_hom`: Additive Freiman homomorphism.
## Notation
* `A →*[n] β`: Multiplicative `n`-Freiman homomorphism on `A`
* `A →+[n] β`: Additive `n`-Freiman homomorphism on `A`
## Implementation notes
In the context of combinatorics, we are interested in Freiman homomorphisms over sets which are not
necessarily closed under addition/multiplication. This means we must parametrize them with a set in
an `add_monoid`/`monoid` instead of the `add_monoid`/`monoid` itself.
## References
[Yufei Zhao, *18.225: Graph Theory and Additive Combinatorics*](https://yufeizhao.com/gtac/)
## TODO
`monoid_hom.to_freiman_hom` could be relaxed to `mul_hom.to_freiman_hom` by proving
`(s.map f).prod = (t.map f).prod` directly by induction instead of going through `f s.prod`.
Define `n`-Freiman isomorphisms.
Affine maps induce Freiman homs. Concretely, provide the `add_freiman_hom_class (α →ₐ[𝕜] β) A β n`
instance.
-/
open multiset
variables {F α β γ δ G : Type*}
/-- An additive `n`-Freiman homomorphism is a map which preserves sums of `n` elements. -/
structure add_freiman_hom (A : set α) (β : Type*) [add_comm_monoid α] [add_comm_monoid β] (n : ℕ) :=
(to_fun : α → β)
(map_sum_eq_map_sum' {s t : multiset α} (hsA : ∀ ⦃x⦄, x ∈ s → x ∈ A) (htA : ∀ ⦃x⦄, x ∈ t → x ∈ A)
(hs : s.card = n) (ht : t.card = n) (h : s.sum = t.sum) :
(s.map to_fun).sum = (t.map to_fun).sum)
/-- A `n`-Freiman homomorphism on a set `A` is a map which preserves products of `n` elements. -/
@[to_additive add_freiman_hom]
structure freiman_hom (A : set α) (β : Type*) [comm_monoid α] [comm_monoid β] (n : ℕ) :=
(to_fun : α → β)
(map_prod_eq_map_prod' {s t : multiset α} (hsA : ∀ ⦃x⦄, x ∈ s → x ∈ A) (htA : ∀ ⦃x⦄, x ∈ t → x ∈ A)
(hs : s.card = n) (ht : t.card = n) (h : s.prod = t.prod) :
(s.map to_fun).prod = (t.map to_fun).prod)
notation (name := add_freiman_hom) A ` →+[`:25 n:25 `] `:0 β:0 := add_freiman_hom A β n
notation (name := freiman_hom) A ` →*[`:25 n:25 `] `:0 β:0 := freiman_hom A β n
/-- `add_freiman_hom_class F s β n` states that `F` is a type of `n`-ary sums-preserving morphisms.
You should extend this class when you extend `add_freiman_hom`. -/
class add_freiman_hom_class (F : Type*) (A : out_param $ set α) (β : out_param $ Type*)
[add_comm_monoid α] [add_comm_monoid β] (n : ℕ) [fun_like F α (λ _, β)] :=
(map_sum_eq_map_sum' (f : F) {s t : multiset α} (hsA : ∀ ⦃x⦄, x ∈ s → x ∈ A)
(htA : ∀ ⦃x⦄, x ∈ t → x ∈ A) (hs : s.card = n) (ht : t.card = n) (h : s.sum = t.sum) :
(s.map f).sum = (t.map f).sum)
/-- `freiman_hom_class F A β n` states that `F` is a type of `n`-ary products-preserving morphisms.
You should extend this class when you extend `freiman_hom`. -/
@[to_additive add_freiman_hom_class
"`add_freiman_hom_class F A β n` states that `F` is a type of `n`-ary sums-preserving morphisms.
You should extend this class when you extend `add_freiman_hom`."]
class freiman_hom_class (F : Type*) (A : out_param $ set α) (β : out_param $ Type*) [comm_monoid α]
[comm_monoid β] (n : ℕ) [fun_like F α (λ _, β)] :=
(map_prod_eq_map_prod' (f : F) {s t : multiset α} (hsA : ∀ ⦃x⦄, x ∈ s → x ∈ A)
(htA : ∀ ⦃x⦄, x ∈ t → x ∈ A) (hs : s.card = n) (ht : t.card = n) (h : s.prod = t.prod) :
(s.map f).prod = (t.map f).prod)
variables [fun_like F α (λ _, β)]
section comm_monoid
variables [comm_monoid α] [comm_monoid β] [comm_monoid γ] [comm_monoid δ] [comm_group G] {A : set α}
{B : set β} {C : set γ} {n : ℕ} {a b c d : α}
@[to_additive]
lemma map_prod_eq_map_prod [freiman_hom_class F A β n] (f : F) {s t : multiset α}
(hsA : ∀ ⦃x⦄, x ∈ s → x ∈ A) (htA : ∀ ⦃x⦄, x ∈ t → x ∈ A) (hs : s.card = n) (ht : t.card = n)
(h : s.prod = t.prod) :
(s.map f).prod = (t.map f).prod :=
freiman_hom_class.map_prod_eq_map_prod' f hsA htA hs ht h
@[to_additive]
lemma map_mul_map_eq_map_mul_map [freiman_hom_class F A β 2] (f : F) (ha : a ∈ A) (hb : b ∈ A)
(hc : c ∈ A) (hd : d ∈ A) (h : a * b = c * d) :
f a * f b = f c * f d :=
begin
simp_rw ←prod_pair at ⊢ h,
refine map_prod_eq_map_prod f _ _ (card_pair _ _) (card_pair _ _) h; simp [ha, hb, hc, hd],
end
namespace freiman_hom
@[to_additive]
instance fun_like : fun_like (A →*[n] β) α (λ _, β) :=
{ coe := to_fun,
coe_injective' := λ f g h, by cases f; cases g; congr' }
@[to_additive]
instance freiman_hom_class : freiman_hom_class (A →*[n] β) A β n :=
{ map_prod_eq_map_prod' := map_prod_eq_map_prod' }
/-- Helper instance for when there's too many metavariables to apply `fun_like.has_coe_to_fun`
directly. -/
@[to_additive "Helper instance for when there's too many metavariables to apply
`fun_like.has_coe_to_fun` directly."]
instance : has_coe_to_fun (A →*[n] β) (λ _, α → β) := ⟨to_fun⟩
initialize_simps_projections freiman_hom (to_fun → apply)
@[simp, to_additive]
lemma to_fun_eq_coe (f : A →*[n] β) : f.to_fun = f := rfl
@[ext, to_additive]
lemma ext ⦃f g : A →*[n] β⦄ (h : ∀ x, f x = g x) : f = g := fun_like.ext f g h
@[simp, to_additive]
lemma coe_mk (f : α → β) (h : ∀ s t : multiset α, (∀ ⦃x⦄, x ∈ s → x ∈ A) → (∀ ⦃x⦄, x ∈ t → x ∈ A) →
s.card = n → t.card = n → s.prod = t.prod → (s.map f).prod = (t.map f).prod) :
⇑(mk f h) = f := rfl
@[simp, to_additive] lemma mk_coe (f : A →*[n] β) (h) : mk f h = f := ext $ λ _, rfl
/-- The identity map from a commutative monoid to itself. -/
@[to_additive "The identity map from an additive commutative monoid to itself.", simps]
protected def id (A : set α) (n : ℕ) : A →*[n] α :=
{ to_fun := λ x, x, map_prod_eq_map_prod' := λ s t _ _ _ _ h, by rw [map_id', map_id', h] }
/-- Composition of Freiman homomorphisms as a Freiman homomorphism. -/
@[to_additive "Composition of additive Freiman homomorphisms as an additive Freiman homomorphism."]
protected def comp (f : B →*[n] γ) (g : A →*[n] β) (hAB : A.maps_to g B) : A →*[n] γ :=
{ to_fun := f ∘ g,
map_prod_eq_map_prod' := λ s t hsA htA hs ht h, begin
rw [←map_map,
map_prod_eq_map_prod f _ _ ((s.card_map _).trans hs) ((t.card_map _).trans ht)
(map_prod_eq_map_prod g hsA htA hs ht h), map_map],
{ simpa using (λ a h, hAB (hsA h)) },
{ simpa using (λ a h, hAB (htA h)) }
end }
@[simp, to_additive]
lemma coe_comp (f : B →*[n] γ) (g : A →*[n] β) {hfg} : ⇑(f.comp g hfg) = f ∘ g := rfl
@[to_additive]
lemma comp_apply (f : B →*[n] γ) (g : A →*[n] β) {hfg} (x : α) : f.comp g hfg x = f (g x) := rfl
@[to_additive]
lemma comp_assoc (f : A →*[n] β) (g : B →*[n] γ) (h : C →*[n] δ) {hf hhg hgf}
{hh : A.maps_to (g.comp f hgf) C} :
(h.comp g hhg).comp f hf = h.comp (g.comp f hgf) hh := rfl
@[to_additive]
lemma cancel_right {g₁ g₂ : B →*[n] γ} {f : A →*[n] β} (hf : function.surjective f) {hg₁ hg₂} :
g₁.comp f hg₁ = g₂.comp f hg₂ ↔ g₁ = g₂ :=
⟨λ h, ext $ hf.forall.2 $ fun_like.ext_iff.1 h, λ h, h ▸ rfl⟩
@[to_additive]
lemma cancel_right_on {g₁ g₂ : B →*[n] γ} {f : A →*[n] β} (hf : A.surj_on f B) {hf'} :
A.eq_on (g₁.comp f hf') (g₂.comp f hf') ↔ B.eq_on g₁ g₂ :=
hf.cancel_right hf'
@[to_additive]
lemma cancel_left_on {g : B →*[n] γ} {f₁ f₂ : A →*[n] β} (hg : B.inj_on g) {hf₁ hf₂} :
A.eq_on (g.comp f₁ hf₁) (g.comp f₂ hf₂) ↔ A.eq_on f₁ f₂ :=
hg.cancel_left hf₁ hf₂
@[simp, to_additive] lemma comp_id (f : A →*[n] β) {hf} : f.comp (freiman_hom.id A n) hf = f :=
ext $ λ x, rfl
@[simp, to_additive] lemma id_comp (f : A →*[n] β) {hf} : (freiman_hom.id B n).comp f hf = f :=
ext $ λ x, rfl
/-- `freiman_hom.const A n b` is the Freiman homomorphism sending everything to `b`. -/
@[to_additive "`add_freiman_hom.const n b` is the Freiman homomorphism sending everything to `b`."]
def const (A : set α) (n : ℕ) (b : β) : A →*[n] β :=
{ to_fun := λ _, b,
map_prod_eq_map_prod' := λ s t _ _ hs ht _,
by rw [multiset.map_const, multiset.map_const, prod_repeat, prod_repeat, hs, ht] }
@[simp, to_additive] lemma const_apply (n : ℕ) (b : β) (x : α) : const A n b x = b := rfl
@[simp, to_additive]
lemma const_comp (n : ℕ) (c : γ) (f : A →*[n] β) {hf} : (const B n c).comp f hf = const A n c := rfl
/-- `1` is the Freiman homomorphism sending everything to `1`. -/
@[to_additive "`0` is the Freiman homomorphism sending everything to `0`."]
instance : has_one (A →*[n] β) := ⟨const A n 1⟩
@[simp, to_additive] lemma one_apply (x : α) : (1 : A →*[n] β) x = 1 := rfl
@[simp, to_additive] lemma one_comp (f : A →*[n] β) {hf} : (1 : B →*[n] γ).comp f hf = 1 := rfl
@[to_additive] instance : inhabited (A →*[n] β) := ⟨1⟩
/-- `f * g` is the Freiman homomorphism sends `x` to `f x * g x`. -/
@[to_additive "`f + g` is the Freiman homomorphism sending `x` to `f x + g x`."]
instance : has_mul (A →*[n] β) :=
⟨λ f g, { to_fun := λ x, f x * g x,
map_prod_eq_map_prod' := λ s t hsA htA hs ht h,
by rw [prod_map_mul, prod_map_mul, map_prod_eq_map_prod f hsA htA hs ht h,
map_prod_eq_map_prod g hsA htA hs ht h] }⟩
@[simp, to_additive] lemma mul_apply (f g : A →*[n] β) (x : α) : (f * g) x = f x * g x := rfl
@[to_additive] lemma mul_comp (g₁ g₂ : B →*[n] γ) (f : A →*[n] β) {hg hg₁ hg₂} :
(g₁ * g₂).comp f hg = g₁.comp f hg₁ * g₂.comp f hg₂ := rfl
/-- If `f` is a Freiman homomorphism to a commutative group, then `f⁻¹` is the Freiman homomorphism
sending `x` to `(f x)⁻¹`. -/
@[to_additive "If `f` is a Freiman homomorphism to an additive commutative group, then `-f` is the
Freiman homomorphism sending `x` to `-f x`."]
instance : has_inv (A →*[n] G) :=
⟨λ f, { to_fun := λ x, (f x)⁻¹,
map_prod_eq_map_prod' := λ s t hsA htA hs ht h,
by rw [prod_map_inv, prod_map_inv, map_prod_eq_map_prod f hsA htA hs ht h] }⟩
@[simp, to_additive] lemma inv_apply (f : A →*[n] G) (x : α) : f⁻¹ x = (f x)⁻¹ := rfl
@[simp, to_additive] lemma inv_comp (f : B →*[n] G) (g : A →*[n] β) {hf hf'} :
f⁻¹.comp g hf = (f.comp g hf')⁻¹ :=
ext $ λ x, rfl
/-- If `f` and `g` are Freiman homomorphisms to a commutative group, then `f / g` is the Freiman
homomorphism sending `x` to `f x / g x`. -/
@[to_additive "If `f` and `g` are additive Freiman homomorphisms to an additive commutative group,
then `f - g` is the additive Freiman homomorphism sending `x` to `f x - g x`"]
instance : has_div (A →*[n] G) :=
⟨λ f g, { to_fun := λ x, f x / g x,
map_prod_eq_map_prod' := λ s t hsA htA hs ht h,
by rw [prod_map_div, prod_map_div, map_prod_eq_map_prod f hsA htA hs ht h,
map_prod_eq_map_prod g hsA htA hs ht h] }⟩
@[simp, to_additive] lemma div_apply (f g : A →*[n] G) (x : α) : (f / g) x = f x / g x := rfl
@[simp, to_additive] lemma div_comp (f₁ f₂ : B →*[n] G) (g : A →*[n] β) {hf hf₁ hf₂} :
(f₁ / f₂).comp g hf = f₁.comp g hf₁ / f₂.comp g hf₂ :=
ext $ λ x, rfl
/-! ### Instances -/
/-- `A →*[n] β` is a `comm_monoid`. -/
@[to_additive "`α →+[n] β` is an `add_comm_monoid`."]
instance : comm_monoid (A →*[n] β) :=
{ mul := (*),
mul_assoc := λ a b c, by { ext, apply mul_assoc },
one := 1,
one_mul := λ a, by { ext, apply one_mul },
mul_one := λ a, by { ext, apply mul_one },
mul_comm := λ a b, by { ext, apply mul_comm },
npow := λ m f,
{ to_fun := λ x, f x ^ m,
map_prod_eq_map_prod' := λ s t hsA htA hs ht h,
by rw [prod_map_pow, prod_map_pow, map_prod_eq_map_prod f hsA htA hs ht h] },
npow_zero' := λ f, by { ext x, exact pow_zero _ },
npow_succ' := λ n f, by { ext x, exact pow_succ _ _ } }
/-- If `β` is a commutative group, then `A →*[n] β` is a commutative group too. -/
@[to_additive "If `β` is an additive commutative group, then `A →*[n] β` is an additive commutative
group too."]
instance {β} [comm_group β] : comm_group (A →*[n] β) :=
{ inv := has_inv.inv,
div := has_div.div,
div_eq_mul_inv := by { intros, ext, apply div_eq_mul_inv },
mul_left_inv := by { intros, ext, apply mul_left_inv },
zpow := λ n f, { to_fun := λ x, (f x) ^ n,
map_prod_eq_map_prod' := λ s t hsA htA hs ht h,
by rw [prod_map_zpow, prod_map_zpow, map_prod_eq_map_prod f hsA htA hs ht h] },
zpow_zero' := λ f, by { ext x, exact zpow_zero _ },
zpow_succ' := λ n f, by { ext x, simp_rw [zpow_of_nat, pow_succ, mul_apply, coe_mk] },
zpow_neg' := λ n f, by { ext x, simp_rw [zpow_neg_succ_of_nat, zpow_coe_nat], refl },
..freiman_hom.comm_monoid }
end freiman_hom
/-! ### Hom hierarchy -/
--TODO: change to `monoid_hom_class F A β → freiman_hom_class F A β n` once `map_multiset_prod` is
-- generalized
/-- A monoid homomorphism is naturally a `freiman_hom` on its entire domain.
We can't leave the domain `A : set α` of the `freiman_hom` a free variable, since it wouldn't be
inferrable. -/
@[to_additive " An additive monoid homomorphism is naturally an `add_freiman_hom` on its entire
domain.
We can't leave the domain `A : set α` of the `freiman_hom` a free variable, since it wouldn't be
inferrable."]
instance monoid_hom.freiman_hom_class : freiman_hom_class (α →* β) set.univ β n :=
{ map_prod_eq_map_prod' := λ f s t _ _ _ _ h, by rw [←f.map_multiset_prod, h, f.map_multiset_prod] }
/-- A `monoid_hom` is naturally a `freiman_hom`. -/
@[to_additive add_monoid_hom.to_add_freiman_hom "An `add_monoid_hom` is naturally an
`add_freiman_hom`"]
def monoid_hom.to_freiman_hom (A : set α) (n : ℕ) (f : α →* β) : A →*[n] β :=
{ to_fun := f,
map_prod_eq_map_prod' := λ s t hsA htA, map_prod_eq_map_prod f
(λ _ _, set.mem_univ _) (λ _ _, set.mem_univ _) }
@[simp, to_additive]
lemma monoid_hom.to_freiman_hom_coe (f : α →* β) : (f.to_freiman_hom A n : α → β) = f := rfl
@[to_additive]
lemma monoid_hom.to_freiman_hom_injective :
function.injective (monoid_hom.to_freiman_hom A n : (α →* β) → A →*[n] β) :=
λ f g h, monoid_hom.ext $ show _, from fun_like.ext_iff.mp h
end comm_monoid
section cancel_comm_monoid
variables [comm_monoid α] [cancel_comm_monoid β] {A : set α} {m n : ℕ}
@[to_additive]
lemma map_prod_eq_map_prod_of_le [freiman_hom_class F A β n] (f : F) {s t : multiset α}
(hsA : ∀ x ∈ s, x ∈ A) (htA : ∀ x ∈ t, x ∈ A) (hs : s.card = m)
(ht : t.card = m) (hst : s.prod = t.prod) (h : m ≤ n) :
(s.map f).prod = (t.map f).prod :=
begin
obtain rfl | hm := m.eq_zero_or_pos,
{ rw card_eq_zero at hs ht,
rw [hs, ht] },
rw [←hs, card_pos_iff_exists_mem] at hm,
obtain ⟨a, ha⟩ := hm,
suffices : ((s + repeat a (n - m)).map f).prod = ((t + repeat a (n - m)).map f).prod,
{ simp_rw [multiset.map_add, prod_add] at this,
exact mul_right_cancel this },
replace ha := hsA _ ha,
refine map_prod_eq_map_prod f (λ x hx, _) (λ x hx, _) _ _ _,
rotate 2, assumption, -- Can't infer `A` and `n` from the context, so do it manually.
{ rw mem_add at hx,
refine hx.elim (hsA _) (λ h, _),
rwa eq_of_mem_repeat h },
{ rw mem_add at hx,
refine hx.elim (htA _) (λ h, _),
rwa eq_of_mem_repeat h },
{ rw [card_add, hs, card_repeat, add_tsub_cancel_of_le h] },
{ rw [card_add, ht, card_repeat, add_tsub_cancel_of_le h] },
{ rw [prod_add, prod_add, hst] }
end
/-- `α →*[n] β` is naturally included in `A →*[m] β` for any `m ≤ n`. -/
@[to_additive add_freiman_hom.to_add_freiman_hom "`α →+[n] β` is naturally included in `α →+[m] β`
for any `m ≤ n`"]
def freiman_hom.to_freiman_hom (h : m ≤ n) (f : A →*[n] β) : A →*[m] β :=
{ to_fun := f,
map_prod_eq_map_prod' := λ s t hsA htA hs ht hst,
map_prod_eq_map_prod_of_le f hsA htA hs ht hst h }
/-- A `n`-Freiman homomorphism is also a `m`-Freiman homomorphism for any `m ≤ n`. -/
@[to_additive add_freiman_hom.add_freiman_hom_class_of_le "An additive `n`-Freiman homomorphism is
also an additive `m`-Freiman homomorphism for any `m ≤ n`."]
def freiman_hom.freiman_hom_class_of_le [freiman_hom_class F A β n] (h : m ≤ n) :
freiman_hom_class F A β m :=
{ map_prod_eq_map_prod' := λ f s t hsA htA hs ht hst,
map_prod_eq_map_prod_of_le f hsA htA hs ht hst h }
@[simp, to_additive add_freiman_hom.to_add_freiman_hom_coe]
lemma freiman_hom.to_freiman_hom_coe (h : m ≤ n) (f : A →*[n] β) :
(f.to_freiman_hom h : α → β) = f := rfl
@[to_additive]
lemma freiman_hom.to_freiman_hom_injective (h : m ≤ n) :
function.injective (freiman_hom.to_freiman_hom h : (A →*[n] β) → A →*[m] β) :=
λ f g hfg, freiman_hom.ext $ by convert fun_like.ext_iff.1 hfg
end cancel_comm_monoid
|
6f3578c8c6376c1cd88382065b1d274918ba33e7 | 92b50235facfbc08dfe7f334827d47281471333b | /library/logic/axioms/examples/diaconescu.lean | 29f3164329c19e926afd151b0f697a7ff81c069a | [
"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 | 1,634 | 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
-/
import logic.axioms.hilbert logic.eq
open eq.ops
/-
Diaconescu’s theorem: excluded middle follows from Hilbert's choice operator, function extensionality,
and Prop extensionality
-/
section
parameter p : Prop
private definition U (x : Prop) : Prop := x = true ∨ p
private definition V (x : Prop) : Prop := x = false ∨ p
private definition u := epsilon U
private definition v := epsilon V
private lemma u_def : U u :=
epsilon_spec (exists.intro true (or.inl rfl))
private lemma v_def : V v :=
epsilon_spec (exists.intro false (or.inl rfl))
private lemma not_uv_or_p : ¬(u = v) ∨ p :=
or.elim u_def
(assume Hut : u = true,
or.elim v_def
(assume Hvf : v = false,
have Hne : ¬(u = v), from Hvf⁻¹ ▸ Hut⁻¹ ▸ true_ne_false,
or.inl Hne)
(assume Hp : p, or.inr Hp))
(assume Hp : p, or.inr Hp)
private lemma p_implies_uv : p → u = v :=
assume Hp : p,
have Hpred : U = V, from
funext (take x : Prop,
have Hl : (x = true ∨ p) → (x = false ∨ p), from
assume A, or.inr Hp,
have Hr : (x = false ∨ p) → (x = true ∨ p), from
assume A, or.inr Hp,
show (x = true ∨ p) = (x = false ∨ p), from
propext (iff.intro Hl Hr)),
have H' : epsilon U = epsilon V, from Hpred ▸ rfl,
show u = v, from H'
theorem em : p ∨ ¬p :=
have H : ¬(u = v) → ¬p, from mt p_implies_uv,
or.elim not_uv_or_p
(assume Hne : ¬(u = v), or.inr (H Hne))
(assume Hp : p, or.inl Hp)
end
|
a2bb0f1c91a60018c4c6199c1b2379a5559a990f | a4673261e60b025e2c8c825dfa4ab9108246c32e | /src/Lean/Data/SMap.lean | d6eebcdf270ce6bb000f4cab26c648dfbfd36c01 | [
"Apache-2.0"
] | permissive | jcommelin/lean4 | c02dec0cc32c4bccab009285475f265f17d73228 | 2909313475588cc20ac0436e55548a4502050d0a | refs/heads/master | 1,674,129,550,893 | 1,606,415,348,000 | 1,606,415,348,000 | null | 0 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 3,199 | 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 Std.Data.HashMap
import Std.Data.PersistentHashMap
universes u v w w'
namespace Lean
open Std (HashMap PHashMap)
/- Staged map for implementing the Environment. The idea is to store
imported entries into a hashtable and local entries into a persistent hashtable.
Hypotheses:
- The number of entries (i.e., declarations) coming from imported files is much bigger than
the number of entries in the current file.
- HashMap is faster than PersistentHashMap.
- When we are reading imported files, we have exclusive access to the map, and efficient
destructive updates are performed.
Remarks:
- We never remove declarations from the Environment. In principle, we could support
deletion by using `(PHashMap α (Option β))` where the value `none` would indicate
that an entry was "removed" from the hashtable.
- We do not need additional bookkeeping for extracting the local entries.
-/
structure SMap (α : Type u) (β : Type v) [BEq α] [Hashable α] :=
(stage₁ : Bool := true)
(map₁ : HashMap α β := {})
(map₂ : PHashMap α β := {})
namespace SMap
variables {α : Type u} {β : Type v} [BEq α] [Hashable α]
instance : Inhabited (SMap α β) := ⟨{}⟩
def empty : SMap α β := {}
@[specialize] def insert : SMap α β → α → β → SMap α β
| ⟨true, m₁, m₂⟩, k, v => ⟨true, m₁.insert k v, m₂⟩
| ⟨false, m₁, m₂⟩, k, v => ⟨false, m₁, m₂.insert k v⟩
@[specialize] def find? : SMap α β → α → Option β
| ⟨true, m₁, _⟩, k => m₁.find? k
| ⟨false, m₁, m₂⟩, k => (m₂.find? k).orElse (m₁.find? k)
@[inline] def findD (m : SMap α β) (a : α) (b₀ : β) : β :=
(m.find? a).getD b₀
@[inline] def find! [Inhabited β] (m : SMap α β) (a : α) : β :=
match m.find? a with
| some b => b
| none => panic! "key is not in the map"
@[specialize] def contains : SMap α β → α → Bool
| ⟨true, m₁, _⟩, k => m₁.contains k
| ⟨false, m₁, m₂⟩, k => m₁.contains k || m₂.contains k
/- Similar to `find?`, but searches for result in the hashmap first.
So, the result is correct only if we never "overwrite" `map₁` entries using `map₂`. -/
@[specialize] def find?' : SMap α β → α → Option β
| ⟨true, m₁, _⟩, k => m₁.find? k
| ⟨false, m₁, m₂⟩, k => (m₁.find? k).orElse (m₂.find? k)
/- Move from stage 1 into stage 2. -/
def switch (m : SMap α β) : SMap α β :=
if m.stage₁ then { m with stage₁ := false } else m
@[inline] def foldStage2 {σ : Type w} (f : σ → α → β → σ) (s : σ) (m : SMap α β) : σ :=
m.map₂.foldl f s
def fold {σ : Type w} (f : σ → α → β → σ) (s : σ) (m : SMap α β) : σ :=
m.map₂.foldl f $ m.map₁.fold f s
def size (m : SMap α β) : Nat :=
m.map₁.size + m.map₂.size
def stageSizes (m : SMap α β) : Nat × Nat :=
(m.map₁.size, m.map₂.size)
def numBuckets (m : SMap α β) : Nat :=
m.map₁.numBuckets
end SMap
end Lean
|
a2b24534ca456342b418b17683210a298ca8d956 | cf39355caa609c0f33405126beee2739aa3cb77e | /tests/lean/run/assert_tac3.lean | 46caddb67b3c6c71d9c66ff347f7e29c7794c80e | [
"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 | 807 | lean | open tactic
definition tst2 (a : nat) : a = a :=
by do
assert `x (expr.const `nat []),
rotate 1,
trace_state,
a ← get_local `a,
mk_app `eq.refl [a] >>= exact,
a ← get_local `a,
exact a,
return ()
#print tst2
definition tst3 (a b : nat) : a = a :=
by do
define `x (expr.const `nat []),
rotate 1,
trace_state,
x ← get_local `x,
mk_app `eq.refl [x] >>= exact,
trace "-- second goal was indirectly solved by the previous tactic",
trace_state,
return ()
definition tst4 (a : nat) : a = a :=
begin
have x : nat,
rotate 1,
exact eq.refl a,
exact a
end
definition tst5 (a : nat) : a = a :=
begin
let x : nat := a,
trace_state,
exact eq.refl x
end
definition tst6 (a : nat) : a = a :=
begin
let x := a,
trace_state,
exact eq.refl x
end
|
fe085587c6f7cf00e76f90ed75447067d3fae42c | e3b487086b7799a7f044a4ee72ad8f02b471d70a | /src/exercises_sources/friday/topology.lean | de30806697cf0ad01e4a1a86da9c22033f0544bf | [] | permissive | sanderdahmen/lftcm2020 | aa47df3d5f6ffd630a9cf7851a79755c85040e2c | 47a894daf266fc45f3b72148a8161666dd56616e | refs/heads/master | 1,668,751,789,893 | 1,594,587,961,000 | 1,594,587,961,000 | 279,150,369 | 0 | 0 | MIT | 1,594,589,049,000 | 1,594,589,048,000 | null | UTF-8 | Lean | false | false | 12,124 | lean | import topology.metric_space.basic
open_locale classical filter topological_space
namespace lftcm
open filter set
/-!
# Filters
## Definition of filters
-/
def principal {α : Type*} (s : set α) : filter α :=
{ sets := {t | s ⊆ t},
univ_sets := begin
sorry
end,
sets_of_superset := begin
sorry
end,
inter_sets := begin
sorry
end}
def at_top : filter ℕ :=
{ sets := {s | ∃ a, ∀ b, a ≤ b → b ∈ s},
univ_sets := begin
sorry
end,
sets_of_superset := begin
sorry
end,
inter_sets := begin
sorry
end}
-- The next exercise is slightly more tricky, you should probably keep it for later
def nhds (x : ℝ) : filter ℝ :=
{ sets := {s | ∃ ε > 0, Ioo (x - ε) (x + ε) ⊆ s},
univ_sets := begin
sorry
end,
sets_of_superset := begin
sorry
end,
inter_sets := begin
sorry
end}
/-
The filter axiom are also available as standalone lemmas where the filter argument is implicit
Compare
-/
#check @filter.sets_of_superset
#check @mem_sets_of_superset
-- And analogously:
#check @inter_mem_sets
/-!
## Definition of "tends to"
-/
-- We'll practive using tendsto by reproving the composition lemma `tendsto.comp` from mathlib
-- Let's first use the concrete definition recorded by `tendsto_def`
#check @tendsto_def
#check @preimage_comp
example {α β γ : Type*} {A : filter α} {B : filter β} {C : filter γ} {f : α → β} {g : β → γ}
(hf : tendsto f A B) (hg : tendsto g B C) : tendsto (g ∘ f) A C :=
begin
sorry
end
-- Now let's get functorial (same statement as above, different proof packaging).
example {α β γ : Type*} {A : filter α} {B : filter β} {C : filter γ} {f : α → β} {g : β → γ}
(hf : tendsto f A B) (hg : tendsto g B C) : tendsto (g ∘ f) A C :=
begin
calc
map (g ∘ f) A = map g (map f A) : _
... ≤ map g B : _
... ≤ C : _,
sorry
end
/-
Let's now focus on the pull-back operation `filter.comap` which takes `f : X → Y`
and a filter `G` on `Y` and returns a filter on `X`.
-/
#check @mem_comap_sets -- this is by definition, the proof is `iff.rfl`
-- It also help to record a special case of one implication:
#check @preimage_mem_comap
-- The following exercise, which reproves `comap_ne_bot_iff` can start using
#check @forall_sets_nonempty_iff_ne_bot
example {α β : Type*} {f : filter β} {m : α → β} :
comap m f ≠ ⊥ ↔ ∀ t ∈ f, ∃ a, m a ∈ t :=
begin
sorry
end
/-!
## Properties holding eventually
-/
/--
The next exercise only needs the definition of filters and the fact that
`∀ᶠ x in f, p x` is a notation for `{x | p x} ∈ f`.
It is called `eventually_and` in mathlib, and won't be needed below.
For instance, applied to `α = ℕ` and the `at_top` filter above, it says
that, given two predicates `p` and `q` on natural numbers,
p n and q n for n large enough if and only if p n holds for n large enough
and q n holds for n large enough.
-/
example {α : Type*} {p q : α → Prop} {f : filter α} :
(∀ᶠ x in f, p x ∧ q x) ↔ (∀ᶠ x in f, p x) ∧ (∀ᶠ x in f, q x) :=
begin
sorry
end
/-!
## Topological spaces
-/
section
-- This is how we can talk about two topological spaces X and Y
variables {X Y : Type*} [topological_space X] [topological_space Y]
/-
Given a topological space `X` and some `A : set X`, we have the usual zoo of predicates
`is_open A`, `is_closed A`, `is_connected A`, `compact A` (and some more)
There are also additional type classes referring to properties of `X` itself,
like `compact_space X` or `connected_space X`
-/
/-- We can talk about continuous functions from `X` to `Y` -/
example (f : X → Y) : continuous f ↔ ∀ V, is_open V → is_open (f ⁻¹' V) := iff.rfl
/- Each point `x` of a topological space has a neighborhood filter `𝓝 x`
made of sets containing an open set containing `x`.
It is always a proper filter, as recorded by `nhds_ne_bot`
Asking for continuity is the same as asking for continuity at each point
the right-hand side below is known as `continuous_at f x` -/
example (f : X → Y) : continuous f ↔ ∀ x, tendsto f (𝓝 x) (𝓝 (f x)) := continuous_iff_continuous_at
/- The topological structure also brings operations on sets.
To each `A : set X`, we can associate `closure A`, `interior A` and `frontier A`.
We'll focus on `closure A`. It is defined as the intersection of closed sets containing `A`
but we can characterize it in terms of neighborhoods. The most concrete version is
`mem_closure_iff_nhds : a ∈ closure A ↔ ∀ B ∈ 𝓝 a, (B ∩ A).nonempty`
We'll pratice by reproving the slightly more abstract `mem_closure_iff_comap_ne_bot`.
First let's review sets and subtypes. Fix a type `X` and recall
that `A : set X` is not a type a priori, but Lean coerces automatically when needed to the
type `↥A` whose terms are build of a term `x : X` and a proof of `x ∈ A`.
In the other direction, inhabitants of `↥A` can be coerced to `X` automatically.
This inclusion coercion map is called `coe : A → X` and `coe a` is also denoted by `↑a`.
Now assume `X` is a topological space, and let's understand the closure of A in terms
of `coe` and the neighborhood filter.
In the next exercise, you can use `simp_rw` instead of `rw` to rewrite inside a quantifier
-/
#check nonempty_inter_iff_exists_right
example {A : set X} {x : X} :
x ∈ closure A ↔ comap (coe : A → X) (𝓝 x) ≠ ⊥ :=
begin
sorry
end
/-
In elementary contexts, the main property of `closure A` is that a converging sequence
`u : ℕ → X` such that `∀ n, u n ∈ A` has its limit in `closure A`.
Note we don't need all the full sequence to be in
`A`, it's enough to ask it for `n` large enough, ie. `∀ᶠ n in at_top, u n ∈ A`.
Also there is no reason to use sequences only, we can use any map and any source filter.
We hence have the important
`mem_closure_of_tendsto` : ∀ {f : β → X} {F : filter β} {a : X}
{A : set X}, F ≠ ⊥ → tendsto f F (𝓝 a) → (∀ᶠ x in F, f x ∈ A) → a ∈ closure A
If `A` is known to be closed then we can replace `closure A` by `A`, this is
`mem_of_closed_of_tendsto`.
-/
/-
We need one last piece of filter technology: bases. By definition, each neighborhood of a point
`x` contains an *open* neighborhood of `x`.
Hence we can often restrict our attention to such neighborhoods.
The general definition recording such a situation is:
`has_basis` (l : filter α) (p : ι → Prop) (s : ι → set α) : Prop :=
(mem_iff' : ∀ t, t ∈ l ↔ ∃ i (hi : p i), s i ⊆ t)
You can now inspect three examples of how bases allow to restrict attention to certain elements
of a filter.
-/
#check @has_basis.mem_iff
#check @has_basis.tendsto_left_iff
#check @has_basis.tendsto_right_iff
-- We'll use the following bases:
#check @nhds_basis_opens'
#check @closed_nhds_basis
/--
Our main goal is now to prove the basic theorem which allows extension by continuity.
From Bourbaki's general topology book, I.8.5, Theorem 1 (taking only the non-trivial implication):
Let `X` be a topological space, `A` a dense subset of `X`, `f : A → Y` a mapping of `A` into a
regular space `Y`. If, for each `x` in `X`, `f(y)` tends to a limit in `Y` when `y` tends to `x`
while remaining in `A` then there exists a continuous extension `φ` of `f` to `X`.
The regularity assumption on `Y` ensures that each point of `Y` has a basis of *closed*
neighborhoods, this is `closed_nhds_basis`.
It also ensures that `Y` is Hausdorff so limits in `Y` are unique, this is `tendsto_nhds_unique`.
mathlib contains a refinement of the above lemma, `dense_inducing.continuous_at_extend`,
but we'll stick to Bourbaki's version here.
Remember that, given `A : set X`, `↥A` is the subtype associated to `A`, and Lean will automatically
insert that funny up arrow when needed. And the (inclusion) coercion map is `coe : A → X`.
The assumption "tends to `x` while remaining in `A`" corresponds to the pull-back filter
`comap coe (𝓝 x)`.
Let's prove first an auxilliary lemma, extracted to simplify the context
(in particular we don't need Y to be a topological space here).
-/
lemma aux {X Y A : Type*} [topological_space X] {c : A → X} {f : A → Y} {x : X} {F : filter Y}
(h : tendsto f (comap c (𝓝 x)) F) {V' : set Y} (V'_in : V' ∈ F) :
∃ V ∈ 𝓝 x, is_open V ∧ c ⁻¹' V ⊆ f ⁻¹' V' :=
begin
sorry
end
/--
Let's now turn to the main proof of the extension by continuity theorem.
When Lean needs a topology on `↥A` it will use the induced topology, thanks to the instance
`subtype.topological_space`.
This all happens automatically. The only relevant lemma is
`nhds_induced coe : ∀ a : ↥A, 𝓝 a = comap coe (𝓝 ↑a)`
(this is actually a general lemma about induced topologies).
The proof outline is:
The main assumption and the axiom of choice give a function `φ` such that
`∀ x, tendsto f (comap coe $ 𝓝 x) (𝓝 (φ x))`
(because `Y` is Hausdorff, `φ` is entirely determined, but we won't need that until we try to
prove that `φ` indeed extends `f`).
Let's first prove `φ` is continuous. Fix any `x : X`.
Since `Y` is regular, it suffices to check that for every *closed* neighborhood
`V'` of `φ x`, `φ ⁻¹' V' ∈ 𝓝 x`.
The limit assumption gives (through the auxilliary lemma above)
some `V ∈ 𝓝 x` such `is_open V ∧ coe ⁻¹' V ⊆ f ⁻¹' V'`.
Since `V ∈ 𝓝 x`, it suffices to prove `V ⊆ φ ⁻¹' V'`, ie `∀ y ∈ V, φ y ∈ V'`.
Let's fix `y` in `V`. Because `V` is *open*, it is a neighborhood of `y`.
In particular `coe ⁻¹' V ∈ comap coe (𝓝 y)` and a fortiori `f ⁻¹' V' ∈ comap coe (𝓝 y)`.
In addition `comap coe $ 𝓝 y ≠ ⊥` because `A` is dense.
Because we know `tendsto f (comap coe $ 𝓝 y) (𝓝 (φ y))` this implies
`φ y ∈ closure V'` and, since `V'` is closed, we have proved `φ y ∈ V'`.
It remains to prove that `φ` extends `f`. This is were continuity of `f` enters the discussion,
together with the fact that `Y` is Hausdorff.
-/
example [regular_space Y] {A : set X} (hA : ∀ x, x ∈ closure A)
{f : A → Y} (f_cont : continuous f)
(hf : ∀ x : X, ∃ c : Y, tendsto f (comap coe $ 𝓝 x) $ 𝓝 c) :
∃ φ : X → Y, continuous φ ∧ ∀ a : A, φ a = f a :=
begin
sorry
end
end
/-!
## Metric spaces
-/
/--
We now leave general topology and turn to metric spaces. The distance function is denoted by `dist`.
A slight difficulty here is that, as in Bourbaki, many results you may expect
to see stated for metric spaces are stated for uniform spaces, a more general notion that also
includes topological groups. In this tutorial we will avoid uniform spaces for simplicity.
We will prove that continuous functions from a compact metric space to a
metric space are uniformly continuous. mathlib has a much more general
version (about functions between uniform spaces...).
The lemma `metric.uniform_continuous_iff` allows to translate the general definition
of uniform continuity to the ε-δ definition that works for metric spaces only.
So let's fix `ε > 0` and start looking for `δ`.
We will deduce Heine-Cantor from the fact that a real value continuous function
on a nonempty compact set reaches its infimum. There are several ways to state that,
but here we recommend `compact.exists_forall_le`.
Let `φ : X × X → ℝ := λ p, dist (f p.1) (f p.2)` and let `K := { p : X × X | ε ≤ φ p }`.
Observe `φ` is continuous by assumption on `f` and using `continuous_dist`.
And `K` is closed using `is_closed_le` hence compact since `X` is compact.
Then we discuss two possibilities using `eq_empty_or_nonempty`.
If `K` is empty then we are clearly done (we can set `δ = 1` for instance).
So let's assume `K` is not empty, and choose `(x₀, x₁)` attaining the infimum
of `φ` on `K`. We can then set `δ = dist x₀ x₁` and check everything works.
-/
example {X : Type*} [metric_space X] [compact_space X] {Y : Type*} [metric_space Y]
{f : X → Y} (hf : continuous f) : uniform_continuous f :=
begin
sorry
end
end lftcm
|
28fa83eee39771b53bd71259477ba070ee1591fb | 9be442d9ec2fcf442516ed6e9e1660aa9071b7bd | /tests/lean/run/simp1.lean | 559bf93981bc02cf438b46681faf11824c0dd97f | [
"Apache-2.0",
"LLVM-exception",
"NCSA",
"LGPL-3.0-only",
"LicenseRef-scancode-inner-net-2.0",
"BSD-3-Clause",
"LGPL-2.0-or-later",
"Spencer-94",
"LGPL-2.1-or-later",
"HPND",
"LicenseRef-scancode-pcre",
"ISC",
"LGPL-2.1-only",
"LicenseRef-scancode-other-permissive",
"SunPro",
"CMU-Mach"... | permissive | EdAyers/lean4 | 57ac632d6b0789cb91fab2170e8c9e40441221bd | 37ba0df5841bde51dbc2329da81ac23d4f6a4de4 | refs/heads/master | 1,676,463,245,298 | 1,660,619,433,000 | 1,660,619,433,000 | 183,433,437 | 1 | 0 | Apache-2.0 | 1,657,612,672,000 | 1,556,196,574,000 | Lean | UTF-8 | Lean | false | false | 1,304 | lean | import Lean
@[simp] theorem ex1 (x : Nat) : 2 * x = x + x :=
sorry
@[simp] theorem ex2 (xs : List α) : xs ++ [] = xs :=
sorry
@[simp] theorem ex3 (xs ys zs : List α) : (xs ++ ys) ++ zs = xs ++ (ys ++ zs) :=
sorry
@[simp] theorem ex5 (p : Prop) : p ∨ True :=
sorry
@[simp] theorem ex4 (xs : List α) : ¬(x :: xs = []) :=
sorry
@[simp] theorem ex6 (p q : Prop) : p ∨ q ↔ q ∨ p:=
sorry
@[simp high] theorem ex7 [Add α] (a b : α) : a + b = b + a :=
sorry
@[simp↓] theorem ex8 [Add α] (p q : Prop) : (¬ (p ∧ q)) = (¬p ∨ ¬q) :=
sorry
axiom aux {α} (f : List α → List α) (xs ys : List α) : f (xs ++ ys) ++ [] = f (xs ++ ys)
open Lean
open Lean.Meta
def tst1 : MetaM Unit := do
let thms ← Meta.getSimpTheorems
trace[Meta.debug] "{thms.pre}\n-----\n{thms.post}"
set_option trace.Meta.debug true in
#eval tst1
def tst2 : MetaM Unit := do
let c ← getConstInfo `aux
forallTelescopeReducing c.type fun xs type => do
match type.eq? with
| none => throwError "unexpected"
| some (_, lhs, _) =>
trace[Meta.debug] "lhs: {lhs}"
let s ← Meta.getSimpTheorems
let m ← s.post.getMatch lhs
trace[Meta.debug] "result: {m}"
assert! m.any fun s => s.name? == `ex2
set_option trace.Meta.debug true in
#eval tst2
|
bd90e05dc814e2ce63e0dadbf09797c902485413 | ae1e94c332e17c7dc7051ce976d5a9eebe7ab8a5 | /src/Lean/Elab/Command.lean | 19557f8b345d89b9295c4a8556b3dd511425fb68 | [
"Apache-2.0"
] | permissive | dupuisf/lean4 | d082d13b01243e1de29ae680eefb476961221eef | 6a39c65bd28eb0e28c3870188f348c8914502718 | refs/heads/master | 1,676,948,755,391 | 1,610,665,114,000 | 1,610,665,114,000 | null | 0 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 27,522 | 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.Parser.Command
import Lean.ResolveName
import Lean.Meta.Reduce
import Lean.Elab.Log
import Lean.Elab.Term
import Lean.Elab.Binders
import Lean.Elab.SyntheticMVars
import Lean.Elab.DeclModifiers
import Lean.Elab.InfoTree
namespace Lean.Elab.Command
structure Scope where
header : String
opts : Options := {}
currNamespace : Name := Name.anonymous
openDecls : List OpenDecl := []
levelNames : List Name := []
varDecls : Array Syntax := #[]
deriving Inhabited
structure State where
env : Environment
messages : MessageLog := {}
scopes : List Scope := [{ header := "" }]
nextMacroScope : Nat := firstFrontendMacroScope + 1
maxRecDepth : Nat
nextInstIdx : Nat := 1 -- for generating anonymous instance names
ngen : NameGenerator := {}
infoState : InfoState := {}
deriving Inhabited
structure Context where
fileName : String
fileMap : FileMap
currRecDepth : Nat := 0
cmdPos : String.Pos := 0
macroStack : MacroStack := []
currMacroScope : MacroScope := firstFrontendMacroScope
ref : Syntax := Syntax.missing
abbrev CommandElabCoreM (ε) := ReaderT Context $ StateRefT State $ EIO ε
abbrev CommandElabM := CommandElabCoreM Exception
abbrev CommandElab := Syntax → CommandElabM Unit
abbrev Linter := Syntax → CommandElabM Unit
def mkState (env : Environment) (messages : MessageLog := {}) (opts : Options := {}) : State := {
env := env
messages := messages
scopes := [{ header := "", opts := opts }]
maxRecDepth := getMaxRecDepth opts
}
/- Linters should be loadable as plugins, so store in a global IO ref instead of an attribute managed by the
environment (which only contains `import`ed objects). -/
builtin_initialize lintersRef : IO.Ref (Array Linter) ← IO.mkRef #[]
def addLinter (l : Linter) : IO Unit := do
let ls ← lintersRef.get
lintersRef.set (ls.push l)
instance : MonadInfoTree CommandElabM where
getInfoState := return (← get).infoState
modifyInfoState f := modify fun s => { s with infoState := f s.infoState }
instance : MonadEnv CommandElabM where
getEnv := do pure (← get).env
modifyEnv f := modify fun s => { s with env := f s.env }
instance : MonadOptions CommandElabM where
getOptions := do pure (← get).scopes.head!.opts
protected def getRef : CommandElabM Syntax :=
return (← read).ref
instance : AddMessageContext CommandElabM where
addMessageContext := addMessageContextPartial
instance : MonadRef CommandElabM where
getRef := Command.getRef
withRef ref x := withReader (fun ctx => { ctx with ref := ref }) x
instance : AddErrorMessageContext CommandElabM where
add ref msg := do
let ctx ← read
let ref := getBetterRef ref ctx.macroStack
let msg ← addMessageContext msg
let msg ← addMacroStack msg ctx.macroStack
return (ref, msg)
def mkMessageAux (ctx : Context) (ref : Syntax) (msgData : MessageData) (severity : MessageSeverity) : Message :=
mkMessageCore ctx.fileName ctx.fileMap msgData severity (ref.getPos.getD ctx.cmdPos)
private def mkCoreContext (ctx : Context) (s : State) : Core.Context :=
let scope := s.scopes.head!
{ options := scope.opts
currRecDepth := ctx.currRecDepth
maxRecDepth := s.maxRecDepth
ref := ctx.ref
currNamespace := scope.currNamespace
openDecls := scope.openDecls }
def liftCoreM {α} (x : CoreM α) : CommandElabM α := do
let s ← get
let ctx ← read
let Eα := Except Exception α
let x : CoreM Eα := try let a ← x; pure $ Except.ok a catch ex => pure $ Except.error ex
let x : EIO Exception (Eα × Core.State) := (ReaderT.run x (mkCoreContext ctx s)).run { env := s.env, ngen := s.ngen }
let (ea, coreS) ← liftM x
modify fun s => { s with env := coreS.env, ngen := coreS.ngen }
match ea with
| Except.ok a => pure a
| Except.error e => throw e
private def ioErrorToMessage (ctx : Context) (ref : Syntax) (err : IO.Error) : Message :=
let ref := getBetterRef ref ctx.macroStack
mkMessageAux ctx ref (toString err) MessageSeverity.error
@[inline] def liftEIO {α} (x : EIO Exception α) : CommandElabM α := liftM x
@[inline] def liftIO {α} (x : IO α) : CommandElabM α := do
let ctx ← read
IO.toEIO (fun (ex : IO.Error) => Exception.error ctx.ref ex.toString) x
instance : MonadLiftT IO CommandElabM where
monadLift := liftIO
def getScope : CommandElabM Scope := do pure (← get).scopes.head!
instance : MonadResolveName CommandElabM where
getCurrNamespace := return (← getScope).currNamespace
getOpenDecls := return (← getScope).openDecls
instance : MonadLog CommandElabM where
getRef := getRef
getFileMap := return (← read).fileMap
getFileName := return (← read).fileName
logMessage msg := do
let currNamespace ← getCurrNamespace
let openDecls ← getOpenDecls
let msg := { msg with data := MessageData.withNamingContext { currNamespace := currNamespace, openDecls := openDecls } msg.data }
modify fun s => { s with messages := s.messages.add msg }
def runLinters (stx : Syntax) : CommandElabM Unit := do
let linters ← lintersRef.get
unless linters.isEmpty do
for linter in linters do
let savedState ← get
try
linter stx
catch ex =>
logException ex
finally
modify fun s => { savedState with messages := s.messages }
protected def getCurrMacroScope : CommandElabM Nat := do pure (← read).currMacroScope
protected def getMainModule : CommandElabM Name := do pure (← getEnv).mainModule
@[inline] protected def withFreshMacroScope {α} (x : CommandElabM α) : CommandElabM α := do
let fresh ← modifyGet (fun st => (st.nextMacroScope, { st with nextMacroScope := st.nextMacroScope + 1 }))
withReader (fun ctx => { ctx with currMacroScope := fresh }) x
instance : MonadQuotation CommandElabM where
getCurrMacroScope := Command.getCurrMacroScope
getMainModule := Command.getMainModule
withFreshMacroScope := Command.withFreshMacroScope
unsafe def mkCommandElabAttributeUnsafe : IO (KeyedDeclsAttribute CommandElab) :=
mkElabAttribute CommandElab `Lean.Elab.Command.commandElabAttribute `builtinCommandElab `commandElab `Lean.Parser.Command `Lean.Elab.Command.CommandElab "command"
@[implementedBy mkCommandElabAttributeUnsafe]
constant mkCommandElabAttribute : IO (KeyedDeclsAttribute CommandElab)
builtin_initialize commandElabAttribute : KeyedDeclsAttribute CommandElab ← mkCommandElabAttribute
private def elabCommandUsing (s : State) (stx : Syntax) : List CommandElab → CommandElabM Unit
| [] => throwError! "unexpected syntax{indentD stx}"
| (elabFn::elabFns) =>
catchInternalId unsupportedSyntaxExceptionId
(elabFn stx)
(fun _ => do set s; elabCommandUsing s stx elabFns)
/- Elaborate `x` with `stx` on the macro stack -/
@[inline] def withMacroExpansion {α} (beforeStx afterStx : Syntax) (x : CommandElabM α) : CommandElabM α :=
withReader (fun ctx => { ctx with macroStack := { before := beforeStx, after := afterStx } :: ctx.macroStack }) x
instance : MonadMacroAdapter CommandElabM where
getCurrMacroScope := getCurrMacroScope
getNextMacroScope := return (← get).nextMacroScope
setNextMacroScope next := modify fun s => { s with nextMacroScope := next }
instance : MonadRecDepth CommandElabM where
withRecDepth d x := withReader (fun ctx => { ctx with currRecDepth := d }) x
getRecDepth := return (← read).currRecDepth
getMaxRecDepth := return (← get).maxRecDepth
@[inline] def withLogging (x : CommandElabM Unit) : CommandElabM Unit :=
try
x
catch ex => match ex with
| Exception.error _ _ => logException ex
| Exception.internal id _ =>
if isAbortExceptionId id then
pure ()
else
let idName ← liftIO $ id.getName;
logError m!"internal exception {idName}"
builtin_initialize registerTraceClass `Elab.command
partial def elabCommand (stx : Syntax) : CommandElabM Unit :=
withLogging <| withRef stx <| withIncRecDepth <| withFreshMacroScope do
runLinters stx
match stx with
| Syntax.node k args =>
if k == nullKind then
-- list of commands => elaborate in order
-- The parser will only ever return a single command at a time, but syntax quotations can return multiple ones
args.forM elabCommand
else do
trace `Elab.command fun _ => stx;
let s ← get
let stxNew? ← catchInternalId unsupportedSyntaxExceptionId
(do let newStx ← adaptMacro (getMacros s.env) stx; pure (some newStx))
(fun ex => pure none)
match stxNew? with
| some stxNew => withMacroExpansion stx stxNew $ elabCommand stxNew
| _ =>
let table := (commandElabAttribute.ext.getState s.env).table;
let k := stx.getKind;
match table.find? k with
| some elabFns => elabCommandUsing s stx elabFns
| none => throwError! "elaboration function for '{k}' has not been implemented"
| _ => throwError "unexpected command"
/-- Adapt a syntax transformation to a regular, command-producing elaborator. -/
def adaptExpander (exp : Syntax → CommandElabM Syntax) : CommandElab := fun stx => do
let stx' ← exp stx
withMacroExpansion stx stx' $ elabCommand stx'
private def getVarDecls (s : State) : Array Syntax :=
s.scopes.head!.varDecls
instance {α} : Inhabited (CommandElabM α) where
default := throw arbitrary
private def mkMetaContext : Meta.Context := {
config := { foApprox := true, ctxApprox := true, quasiPatternApprox := true }
}
private def mkTermContext (ctx : Context) (s : State) (declName? : Option Name) : Term.Context :=
let scope := s.scopes.head!
{ macroStack := ctx.macroStack
fileName := ctx.fileName
fileMap := ctx.fileMap
currMacroScope := ctx.currMacroScope
declName? := declName? }
private def mkTermState (scope : Scope) (s : State) : Term.State := {
messages := {}
levelNames := scope.levelNames
infoState.enabled := s.infoState.enabled
}
private def addTraceAsMessages (ctx : Context) (log : MessageLog) (traceState : TraceState) : MessageLog :=
traceState.traces.foldl
(fun (log : MessageLog) traceElem =>
let ref := replaceRef traceElem.ref ctx.ref;
let pos := ref.getPos.getD 0;
log.add (mkMessageCore ctx.fileName ctx.fileMap traceElem.msg MessageSeverity.information pos))
log
def liftTermElabM {α} (declName? : Option Name) (x : TermElabM α) : CommandElabM α := do
let ctx ← read
let s ← get
let scope := s.scopes.head!
-- We execute `x` with an empty message log. Thus, `x` cannot modify/view messages produced by previous commands.
-- This is useful for implementing `runTermElabM` where we use `Term.resetMessageLog`
let x : MetaM _ := (observing x).run (mkTermContext ctx s declName?) (mkTermState scope s)
let x : CoreM _ := x.run mkMetaContext {}
let x : EIO _ _ := x.run (mkCoreContext ctx s) { env := s.env, ngen := s.ngen, nextMacroScope := s.nextMacroScope }
let (((ea, termS), metaS), coreS) ← liftEIO x
let infoTrees := termS.infoState.trees.map fun tree =>
let tree := tree.substitute termS.infoState.assignment
InfoTree.context {
env := coreS.env, fileMap := ctx.fileMap, mctx := metaS.mctx, currNamespace := scope.currNamespace, openDecls := scope.openDecls, options := scope.opts
} tree
modify fun s => { s with
env := coreS.env
messages := addTraceAsMessages ctx (s.messages ++ termS.messages) coreS.traceState
nextMacroScope := coreS.nextMacroScope
ngen := coreS.ngen
infoState.trees := s.infoState.trees.append infoTrees
}
match ea with
| Except.ok a => pure a
| Except.error ex => throw ex
@[inline] def runTermElabM {α} (declName? : Option Name) (elabFn : Array Expr → TermElabM α) : CommandElabM α := do
let s ← get
liftTermElabM declName? <|
-- We don't want to store messages produced when elaborating `(getVarDecls s)` because they have already been saved when we elaborated the `variable`(s) command.
-- So, we use `Term.resetMessageLog`.
Term.withAutoBoundImplicitLocal <|
Term.elabBinders (getVarDecls s) (catchAutoBoundImplicit := true) fun xs => do
Term.resetMessageLog
let xs ← Term.addAutoBoundImplicits xs
Term.withAutoBoundImplicitLocal (flag := false) <| elabFn xs
@[inline] def catchExceptions (x : CommandElabM Unit) : CommandElabCoreM Empty Unit := fun ctx ref =>
EIO.catchExceptions (withLogging x ctx ref) (fun _ => pure ())
private def liftAttrM {α} (x : AttrM α) : CommandElabM α := do
liftCoreM x
private def addScope (isNewNamespace : Bool) (header : String) (newNamespace : Name) : CommandElabM Unit := do
modify fun s => {
s with
env := s.env.registerNamespace newNamespace,
scopes := { s.scopes.head! with header := header, currNamespace := newNamespace } :: s.scopes
}
pushScope
if isNewNamespace then
activateScoped newNamespace
private def addScopes (isNewNamespace : Bool) : Name → CommandElabM Unit
| Name.anonymous => pure ()
| Name.str p header _ => do
addScopes isNewNamespace p
let currNamespace ← getCurrNamespace
addScope isNewNamespace header (if isNewNamespace then Name.mkStr currNamespace header else currNamespace)
| _ => throwError "invalid scope"
private def addNamespace (header : Name) : CommandElabM Unit :=
addScopes (isNewNamespace := true) header
@[builtinCommandElab «namespace»] def elabNamespace : CommandElab := fun stx =>
match stx with
| `(namespace $n) => addNamespace n.getId
| _ => throwUnsupportedSyntax
@[builtinCommandElab «section»] def elabSection : CommandElab := fun stx =>
match stx with
| `(section $header:ident) => addScopes (isNewNamespace := false) header.getId
| `(section) => do let currNamespace ← getCurrNamespace; addScope (isNewNamespace := false) "" currNamespace
| _ => throwUnsupportedSyntax
def getScopes : CommandElabM (List Scope) := do
pure (← get).scopes
private def checkAnonymousScope : List Scope → Bool
| { header := "", .. } :: _ => true
| _ => false
private def checkEndHeader : Name → List Scope → Bool
| Name.anonymous, _ => true
| Name.str p s _, { header := h, .. } :: scopes => h == s && checkEndHeader p scopes
| _, _ => false
private def popScopes (numScopes : Nat) : CommandElabM Unit :=
for i in [0:numScopes] do
popScope
@[builtinCommandElab «end»] def elabEnd : CommandElab := fun stx => do
let header? := (stx.getArg 1).getOptionalIdent?;
let endSize := match header? with
| none => 1
| some n => n.getNumParts
let scopes ← getScopes
if endSize < scopes.length then
modify fun s => { s with scopes := s.scopes.drop endSize }
popScopes endSize
else -- we keep "root" scope
let n := (← get).scopes.length - 1
modify fun s => { s with scopes := s.scopes.drop n }
popScopes n
throwError "invalid 'end', insufficient scopes"
match header? with
| none => unless checkAnonymousScope scopes do throwError "invalid 'end', name is missing"
| some header => unless checkEndHeader header scopes do throwError "invalid 'end', name mismatch"
@[inline] def withNamespace {α} (ns : Name) (elabFn : CommandElabM α) : CommandElabM α := do
addNamespace ns
let a ← elabFn
modify fun s => { s with scopes := s.scopes.drop ns.getNumParts }
pure a
@[specialize] def modifyScope (f : Scope → Scope) : CommandElabM Unit :=
modify fun s =>
{ s with
scopes := match s.scopes with
| h::t => f h :: t
| [] => unreachable! }
def getLevelNames : CommandElabM (List Name) :=
return (← getScope).levelNames
def addUnivLevel (idStx : Syntax) : CommandElabM Unit := withRef idStx do
let id := idStx.getId
let levelNames ← getLevelNames
if levelNames.elem id then
throwAlreadyDeclaredUniverseLevel id
else
modifyScope fun scope => { scope with levelNames := id :: scope.levelNames }
partial def elabChoiceAux (cmds : Array Syntax) (i : Nat) : CommandElabM Unit :=
if h : i < cmds.size then
let cmd := cmds.get ⟨i, h⟩;
catchInternalId unsupportedSyntaxExceptionId
(elabCommand cmd)
(fun ex => elabChoiceAux cmds (i+1))
else
throwUnsupportedSyntax
@[builtinCommandElab choice] def elbChoice : CommandElab := fun stx =>
elabChoiceAux stx.getArgs 0
@[builtinCommandElab «universe»] def elabUniverse : CommandElab := fun n => do
addUnivLevel n[1]
@[builtinCommandElab «universes»] def elabUniverses : CommandElab := fun n => do
let idsStx := n[1]
idsStx.forArgsM addUnivLevel
@[builtinCommandElab «init_quot»] def elabInitQuot : CommandElab := fun stx => do
let env ← getEnv
match env.addDecl Declaration.quotDecl with
| Except.ok env => setEnv env
| Except.error ex => do
let opts ← getOptions
throwError (ex.toMessageData opts)
def logUnknownDecl (declName : Name) : CommandElabM Unit :=
logError m!"unknown declaration '{declName}'"
@[builtinCommandElab «export»] def elabExport : CommandElab := fun stx => do
-- `stx` is of the form (Command.export "export" <namespace> "(" (null <ids>*) ")")
let id := stx[1].getId
let ns ← resolveNamespace id
let currNamespace ← getCurrNamespace
if ns == currNamespace then throwError "invalid 'export', self export"
let env ← getEnv
let ids := stx[3].getArgs
let aliases ← ids.foldlM (init := []) fun (aliases : List (Name × Name)) (idStx : Syntax) => do
let id := idStx.getId
let declName := ns ++ id
if env.contains declName then
pure $ (currNamespace ++ id, declName) :: aliases
else
withRef idStx $ logUnknownDecl declName
pure aliases
modify fun s => { s with env := aliases.foldl (init := s.env) fun env p => addAlias env p.1 p.2 }
def addOpenDecl (d : OpenDecl) : CommandElabM Unit :=
modifyScope fun scope => { scope with openDecls := d :: scope.openDecls }
def elabOpenSimple (n : SyntaxNode) : CommandElabM Unit :=
-- `open` id+
let nss := n.getArg 0
nss.forArgsM fun ns => do
let ns ← resolveNamespace ns.getId
addOpenDecl (OpenDecl.simple ns [])
activateScoped ns
-- `open` id `(` id+ `)`
def elabOpenOnly (n : SyntaxNode) : CommandElabM Unit := do
let ns := n.getIdAt 0
let ns ← resolveNamespace ns
let ids := n.getArg 2
ids.forArgsM fun idStx => do
let id := idStx.getId
let declName := ns ++ id
let env ← getEnv
if env.contains declName then
addOpenDecl (OpenDecl.explicit id declName)
else
withRef idStx do logUnknownDecl declName
-- `open` id `hiding` id+
def elabOpenHiding (n : SyntaxNode) : CommandElabM Unit := do
let ns := n.getIdAt 0
let ns ← resolveNamespace ns
let idsStx := n.getArg 2
let env ← getEnv
let ids ← idsStx.foldArgsM (fun idStx ids => do
let id := idStx.getId
let declName := ns ++ id
if env.contains declName then
pure (id::ids)
else do
withRef idStx do logUnknownDecl declName
pure ids)
[]
addOpenDecl (OpenDecl.simple ns ids)
-- `open` id `renaming` sepBy (id `->` id) `,`
def elabOpenRenaming (n : SyntaxNode) : CommandElabM Unit := do
let ns := n.getIdAt 0
let ns ← resolveNamespace ns
let rs := (n.getArg 2)
rs.getSepArgs.forM fun stx => do
let fromId := stx.getIdAt 0
let toId := stx.getIdAt 2
let declName := ns ++ fromId
let env ← getEnv
if env.contains declName then
addOpenDecl (OpenDecl.explicit toId declName)
else
withRef stx do logUnknownDecl declName
@[builtinCommandElab «open»] def elabOpen : CommandElab := fun n => do
let body := (n.getArg 1).asNode
let k := body.getKind;
if k == ``Parser.Command.openSimple then
elabOpenSimple body
else if k == ``Parser.Command.openOnly then
elabOpenOnly body
else if k == ``Parser.Command.openHiding then
elabOpenHiding body
else
elabOpenRenaming body
@[builtinCommandElab «variable»] def elabVariable : CommandElab := fun n => do
-- `variable` bracketedBinder
let binder := n[1]
-- Try to elaborate `binder` for sanity checking
runTermElabM none fun _ => Term.withAutoBoundImplicitLocal <|
Term.elabBinder binder (catchAutoBoundImplicit := true) fun _ => pure ()
modifyScope fun scope => { scope with varDecls := scope.varDecls.push binder }
@[builtinCommandElab «variables»] def elabVariables : CommandElab := fun n => do
-- `variables` bracketedBinder+
let binders := n[1].getArgs
-- Try to elaborate `binders` for sanity checking
runTermElabM none fun _ => Term.withAutoBoundImplicitLocal <|
Term.elabBinders binders (catchAutoBoundImplicit := true) fun _ => pure ()
modifyScope fun scope => { scope with varDecls := scope.varDecls ++ binders }
open Meta
@[builtinCommandElab Lean.Parser.Command.check] def elabCheck : CommandElab
| `(#check%$tk $term) => withoutModifyingEnv $ runTermElabM (some `_check) fun _ => do
let e ← Term.elabTerm term none
Term.synthesizeSyntheticMVarsNoPostponing
let (e, _) ← Term.levelMVarToParam (← instantiateMVars e)
let type ← inferType e
unless e.isSyntheticSorry do
logInfoAt tk m!"{e} : {type}"
| _ => throwUnsupportedSyntax
@[builtinCommandElab Lean.Parser.Command.reduce] def elabReduce : CommandElab
| `(#reduce%$tk $term) => withoutModifyingEnv $ runTermElabM (some `_check) fun _ => do
let e ← Term.elabTerm term none
Term.synthesizeSyntheticMVarsNoPostponing
let (e, _) ← Term.levelMVarToParam (← instantiateMVars e)
-- TODO: add options or notation for setting the following parameters
withTheReader Core.Context (fun ctx => { ctx with options := ctx.options.setBool `smartUnfolding false }) do
let e ← withTransparency (mode := TransparencyMode.all) <| reduce e (skipProofs := false) (skipTypes := false)
logInfoAt tk e
| _ => throwUnsupportedSyntax
def hasNoErrorMessages : CommandElabM Bool := do
return !(← get).messages.hasErrors
def failIfSucceeds (x : CommandElabM Unit) : CommandElabM Unit := do
let resetMessages : CommandElabM MessageLog := do
let s ← get
let messages := s.messages;
modify fun s => { s with messages := {} };
pure messages
let restoreMessages (prevMessages : MessageLog) : CommandElabM Unit := do
modify fun s => { s with messages := prevMessages ++ s.messages.errorsToWarnings }
let prevMessages ← resetMessages
let succeeded ←
try
x
hasNoErrorMessages
catch
| ex@(Exception.error _ _) => do logException ex; pure false
| Exception.internal id _ => do logError "internal"; pure false -- TODO: improve `logError "internal"`
finally
restoreMessages prevMessages
if succeeded then
throwError "unexpected success"
@[builtinCommandElab «check_failure»] def elabCheckFailure : CommandElab := fun stx =>
failIfSucceeds <| elabCheck stx
unsafe def elabEvalUnsafe : CommandElab
| `(#eval%$tk $term) => do
let n := `_eval
let ctx ← read
let addAndCompile (value : Expr) : TermElabM Unit := do
let type ← inferType value
let decl := Declaration.defnDecl {
name := n, lparams := [], type := type,
value := value, hints := ReducibilityHints.opaque,
safety := DefinitionSafety.unsafe
}
Term.ensureNoUnassignedMVars decl
addAndCompile decl
let elabMetaEval : CommandElabM Unit := runTermElabM (some n) fun _ => do
let e ← Term.elabTerm term none
Term.synthesizeSyntheticMVarsNoPostponing
let e ← withLocalDeclD `env (mkConst ``Lean.Environment) fun env =>
withLocalDeclD `opts (mkConst ``Lean.Options) fun opts => do
let e ← mkAppM ``Lean.runMetaEval #[env, opts, e];
mkLambdaFVars #[env, opts] e
let env ← getEnv
let opts ← getOptions
let act ← try addAndCompile e; evalConst (Environment → Options → IO (String × Except IO.Error Environment)) n finally setEnv env
let (out, res) ← act env opts -- we execute `act` using the environment
logInfoAt tk out
match res with
| Except.error e => throwError e.toString
| Except.ok env => do setEnv env; pure ()
let elabEval : CommandElabM Unit := runTermElabM (some n) fun _ => do
-- fall back to non-meta eval if MetaEval hasn't been defined yet
-- modify e to `runEval e`
let e ← Term.elabTerm term none
let e := mkSimpleThunk e
Term.synthesizeSyntheticMVarsNoPostponing
let e ← mkAppM ``Lean.runEval #[e]
let env ← getEnv
let act ← try addAndCompile e; evalConst (IO (String × Except IO.Error Unit)) n finally setEnv env
let (out, res) ← liftM (m := IO) act
logInfoAt tk out
match res with
| Except.error e => throwError e.toString
| Except.ok _ => pure ()
if (← getEnv).contains ``Lean.MetaEval then do
elabMetaEval
else
elabEval
| _ => throwUnsupportedSyntax
@[builtinCommandElab «eval», implementedBy elabEvalUnsafe]
constant elabEval : CommandElab
@[builtinCommandElab «synth»] def elabSynth : CommandElab := fun stx => do
let term := stx[1]
withoutModifyingEnv $ runTermElabM `_synth_cmd fun _ => do
let inst ← Term.elabTerm term none
Term.synthesizeSyntheticMVarsNoPostponing
let inst ← instantiateMVars inst
let val ← synthInstance inst
logInfo val
pure ()
def setOption (optionName : Name) (val : DataValue) : CommandElabM Unit := do
let decl ← liftIO <| getOptionDecl optionName
unless decl.defValue.sameCtor val do throwError "type mismatch at set_option"
modifyScope fun scope => { scope with opts := scope.opts.insert optionName val }
match optionName, val with
| `maxRecDepth, DataValue.ofNat max => modify fun s => { s with maxRecDepth := max }
| _, _ => pure ()
@[builtinCommandElab «set_option»] def elabSetOption : CommandElab := fun stx => do
let optionName := stx[1].getId.eraseMacroScopes
let val := stx[2]
match val.isStrLit? with
| some str => setOption optionName (DataValue.ofString str)
| none =>
match val.isNatLit? with
| some num => setOption optionName (DataValue.ofNat num)
| none =>
match val with
| Syntax.atom _ "true" => setOption optionName (DataValue.ofBool true)
| Syntax.atom _ "false" => setOption optionName (DataValue.ofBool false)
| _ => logErrorAt val m!"unexpected set_option value {val}"
@[builtinMacro Lean.Parser.Command.«in»] def expandInCmd : Macro := fun stx => do
let cmd₁ := stx[0]
let cmd₂ := stx[2]
`(section $cmd₁:command $cmd₂:command end)
def expandDeclId (declId : Syntax) (modifiers : Modifiers) : CommandElabM ExpandDeclIdResult := do
let currNamespace ← getCurrNamespace
let currLevelNames ← getLevelNames
Lean.Elab.expandDeclId currNamespace currLevelNames declId modifiers
end Elab.Command
export Elab.Command (Linter addLinter)
end Lean
|
29fa7fdb2ea680bde5df2705e173ae9c34c7fd62 | 80cc5bf14c8ea85ff340d1d747a127dcadeb966f | /src/topology/algebra/ring.lean | b3608423d4f969e15a6a370ff06f687da5656642 | [
"Apache-2.0"
] | permissive | lacker/mathlib | f2439c743c4f8eb413ec589430c82d0f73b2d539 | ddf7563ac69d42cfa4a1bfe41db1fed521bd795f | refs/heads/master | 1,671,948,326,773 | 1,601,479,268,000 | 1,601,479,268,000 | 298,686,743 | 0 | 0 | Apache-2.0 | 1,601,070,794,000 | 1,601,070,794,000 | null | UTF-8 | Lean | false | false | 4,285 | lean | /-
Copyright (c) 2018 Patrick Massot. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Patrick Massot, Johannes Hölzl
Theory of topological rings.
-/
import topology.algebra.group
import ring_theory.ideal.basic
open classical set filter topological_space
open_locale classical
section topological_ring
universes u v w
variables (α : Type u) [topological_space α]
/-- A topological semiring is a semiring where addition and multiplication are continuous. -/
class topological_semiring [semiring α]
extends has_continuous_add α, has_continuous_mul α : Prop
variables [ring α]
/-- A topological ring is a ring where the ring operations are continuous. -/
class topological_ring extends has_continuous_add α, has_continuous_mul α : Prop :=
(continuous_neg : continuous (λa:α, -a))
variables [t : topological_ring α]
@[priority 100] -- see Note [lower instance priority]
instance topological_ring.to_topological_semiring : topological_semiring α := {..t}
@[priority 100] -- see Note [lower instance priority]
instance topological_ring.to_topological_add_group : topological_add_group α := {..t}
variables {α} [topological_ring α]
/-- In a topological ring, the left-multiplication `add_monoid_hom` is continuous. -/
lemma mul_left_continuous (x : α) : continuous (add_monoid_hom.mul_left x) :=
continuous_const.mul continuous_id
/-- In a topological ring, the right-multiplication `add_monoid_hom` is continuous. -/
lemma mul_right_continuous (x : α) : continuous (add_monoid_hom.mul_right x) :=
continuous_id.mul continuous_const
end topological_ring
section topological_comm_ring
variables {α : Type*} [topological_space α] [comm_ring α] [topological_ring α]
def ideal.closure (S : ideal α) : ideal α :=
{ carrier := closure S,
zero_mem' := subset_closure S.zero_mem,
add_mem' := assume x y hx hy,
mem_closure2 continuous_add hx hy $ assume a b, S.add_mem,
smul_mem' := assume c x hx,
have continuous (λx:α, c * x) := continuous_const.mul continuous_id,
mem_closure this hx $ assume a, S.mul_mem_left }
@[simp] lemma ideal.coe_closure (S : ideal α) :
(S.closure : set α) = closure S := rfl
end topological_comm_ring
section topological_ring
variables {α : Type*} [topological_space α] [comm_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
lemma quotient_ring_saturate {α : Type*} [comm_ring α] (N : ideal α) (s : set α) :
mk N ⁻¹' (mk N '' s) = (⋃ x : N, (λ y, x.1 + y) '' s) :=
begin
ext x,
simp only [mem_preimage, 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
variable [topological_ring α]
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 (quotient_ring.is_open_map_coe N).prod (quotient_ring.is_open_map_coe N) },
{ exact (continuous_quot_mk.comp continuous_fst).prod_mk
(continuous_quot_mk.comp continuous_snd) },
{ 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_quot_mk.comp continuous_add,
(quotient_map.continuous_iff (quotient_ring.quotient_map_coe_coe N)).2 cont,
continuous_neg := continuous_quotient_lift _ (continuous_quot_mk.comp continuous_neg),
continuous_mul :=
have cont : continuous (mk N ∘ (λ (p : α × α), p.fst * p.snd)) :=
continuous_quot_mk.comp continuous_mul,
(quotient_map.continuous_iff (quotient_ring.quotient_map_coe_coe N)).2 cont }
end topological_ring
|
2ffb043d650db48f55f6e689f246dc902415d21e | 74addaa0e41490cbaf2abd313a764c96df57b05d | /Mathlib/set_theory/cardinal.lean | f9e744c9900ad4eae4d8917ccd5802d8289f48cf | [] | 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 | 33,939 | lean | /-
Copyright (c) 2017 Johannes Hölzl. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Author: Johannes Hölzl, Mario Carneiro
-/
import Mathlib.PrePort
import Mathlib.Lean3Lib.init.default
import Mathlib.data.set.countable
import Mathlib.set_theory.schroeder_bernstein
import Mathlib.data.fintype.card
import Mathlib.PostPort
universes u u_1 u_2 v w u_3
namespace Mathlib
/-!
# Cardinal Numbers
We define cardinal numbers as a quotient of types under the equivalence relation of equinumerity.
We define the order on cardinal numbers, define omega, and do basic cardinal arithmetic:
addition, multiplication, power, cardinal successor, minimum, supremum,
infinitary sums and products
The fact that the cardinality of `α × α` coincides with that of `α` when `α` is infinite is not
proved in this file, as it relies on facts on well-orders. Instead, it is in
`cardinal_ordinal.lean` (together with many other facts on cardinals, for instance the
cardinality of `list α`).
## Implementation notes
* There is a type of cardinal numbers in every universe level: `cardinal.{u} : Type (u + 1)`
is the quotient of types in `Type u`.
There is a lift operation lifting cardinal numbers to a higher level.
* Cardinal arithmetic specifically for infinite cardinals (like `κ * κ = κ`) is in the file
`set_theory/ordinal.lean`, because concepts from that file are used in the proof.
## References
* <https://en.wikipedia.org/wiki/Cardinal_number>
## Tags
cardinal number, cardinal arithmetic, cardinal exponentiation, omega
-/
/-- The equivalence relation on types given by equivalence (bijective correspondence) of types.
Quotienting by this equivalence relation gives the cardinal numbers.
-/
protected instance cardinal.is_equivalent : setoid (Type u) :=
setoid.mk (fun (α β : Type u) => Nonempty (α ≃ β)) sorry
/-- `cardinal.{u}` is the type of cardinal numbers in `Type u`,
defined as the quotient of `Type u` by existence of an equivalence
(a bijection with explicit inverse). -/
def cardinal :=
quotient sorry
namespace cardinal
/-- The cardinal number of a type -/
def mk : Type u → cardinal :=
quotient.mk
protected theorem eq {α : Type u} {β : Type u} : mk α = mk β ↔ Nonempty (α ≃ β) :=
quotient.eq
@[simp] theorem mk_def (α : Type u) : quotient.mk α = mk α :=
rfl
@[simp] theorem mk_out (c : cardinal) : mk (quotient.out c) = c :=
quotient.out_eq c
/-- We define the order on cardinal numbers by `mk α ≤ mk β` if and only if
there exists an embedding (injective function) from α to β. -/
protected instance has_le : HasLessEq cardinal :=
{ LessEq := fun (q₁ q₂ : cardinal) => quotient.lift_on₂ q₁ q₂ (fun (α β : Type u) => Nonempty (α ↪ β)) sorry }
theorem mk_le_of_injective {α : Type u} {β : Type u} {f : α → β} (hf : function.injective f) : mk α ≤ mk β :=
Nonempty.intro (function.embedding.mk f hf)
theorem mk_le_of_surjective {α : Type u} {β : Type u} {f : α → β} (hf : function.surjective f) : mk β ≤ mk α :=
Nonempty.intro (function.embedding.of_surjective f hf)
theorem le_mk_iff_exists_set {c : cardinal} {α : Type u} : c ≤ mk α ↔ ∃ (p : set α), mk ↥p = c := sorry
theorem out_embedding {c : cardinal} {c' : cardinal} : c ≤ c' ↔ Nonempty (quotient.out c ↪ quotient.out c') := sorry
protected instance linear_order : linear_order cardinal :=
linear_order.mk LessEq (partial_order.lt._default LessEq) sorry sorry sorry sorry (classical.dec_rel LessEq)
Mathlib.decidable_eq_of_decidable_le Mathlib.decidable_lt_of_decidable_le
protected instance distrib_lattice : distrib_lattice cardinal :=
Mathlib.distrib_lattice_of_linear_order
protected instance has_zero : HasZero cardinal :=
{ zero := quotient.mk pempty }
protected instance inhabited : Inhabited cardinal :=
{ default := 0 }
theorem ne_zero_iff_nonempty {α : Type u} : mk α ≠ 0 ↔ Nonempty α := sorry
protected instance has_one : HasOne cardinal :=
{ one := quotient.mk PUnit }
protected instance nontrivial : nontrivial cardinal :=
nontrivial.mk (Exists.intro 1 (Exists.intro 0 (iff.mpr ne_zero_iff_nonempty (Nonempty.intro PUnit.unit))))
theorem le_one_iff_subsingleton {α : Type u} : mk α ≤ 1 ↔ subsingleton α := sorry
theorem one_lt_iff_nontrivial {α : Type u} : 1 < mk α ↔ nontrivial α := sorry
protected instance has_add : Add cardinal :=
{ add := fun (q₁ q₂ : cardinal) => quotient.lift_on₂ q₁ q₂ (fun (α β : Type u) => mk (α ⊕ β)) sorry }
@[simp] theorem add_def (α : Type (max u_1 u_2)) (β : Type (max u_1 u_2)) : mk α + mk β = mk (α ⊕ β) :=
rfl
protected instance has_mul : Mul cardinal :=
{ mul := fun (q₁ q₂ : cardinal) => quotient.lift_on₂ q₁ q₂ (fun (α β : Type u) => mk (α × β)) sorry }
@[simp] theorem mul_def (α : Type u) (β : Type u) : mk α * mk β = mk (α × β) :=
rfl
protected theorem eq_zero_or_eq_zero_of_mul_eq_zero {a : cardinal} {b : cardinal} : a * b = 0 → a = 0 ∨ b = 0 := sorry
protected instance comm_semiring : comm_semiring cardinal :=
comm_semiring.mk Add.add sorry 0 zero_add sorry add_comm Mul.mul sorry 1 one_mul sorry zero_mul sorry left_distrib sorry
mul_comm
/-- The cardinal exponential. `mk α ^ mk β` is the cardinal of `β → α`. -/
protected def power (a : cardinal) (b : cardinal) : cardinal :=
quotient.lift_on₂ a b (fun (α β : Type u) => mk (β → α)) sorry
protected instance has_pow : has_pow cardinal cardinal :=
has_pow.mk cardinal.power
@[simp] theorem power_def (α : Type u_1) (β : Type u_1) : mk α ^ mk β = mk (β → α) :=
rfl
@[simp] theorem power_zero {a : cardinal} : a ^ 0 = 1 :=
quotient.induction_on a fun (α : Type u_1) => quotient.sound (Nonempty.intro (equiv.pempty_arrow_equiv_punit α))
@[simp] theorem power_one {a : cardinal} : a ^ 1 = a :=
quotient.induction_on a fun (α : Type u_1) => quotient.sound (Nonempty.intro (equiv.punit_arrow_equiv α))
@[simp] theorem one_power {a : cardinal} : 1 ^ a = 1 :=
quotient.induction_on a fun (α : Type u_1) => quotient.sound (Nonempty.intro (equiv.arrow_punit_equiv_punit α))
@[simp] theorem prop_eq_two : mk (ulift Prop) = bit0 1 :=
quot.sound
(Nonempty.intro (equiv.trans equiv.ulift (equiv.trans equiv.Prop_equiv_bool equiv.bool_equiv_punit_sum_punit)))
@[simp] theorem zero_power {a : cardinal} : a ≠ 0 → 0 ^ a = 0 := sorry
theorem power_ne_zero {a : cardinal} (b : cardinal) : a ≠ 0 → a ^ b ≠ 0 := sorry
theorem mul_power {a : cardinal} {b : cardinal} {c : cardinal} : (a * b) ^ c = a ^ c * b ^ c :=
quotient.induction_on₃ a b c
fun (α β γ : Type u_1) => quotient.sound (Nonempty.intro (equiv.arrow_prod_equiv_prod_arrow α β γ))
theorem power_add {a : cardinal} {b : cardinal} {c : cardinal} : a ^ (b + c) = a ^ b * a ^ c :=
quotient.induction_on₃ a b c
fun (α β γ : Type u_1) => quotient.sound (Nonempty.intro (equiv.sum_arrow_equiv_prod_arrow β γ α))
theorem power_mul {a : cardinal} {b : cardinal} {c : cardinal} : (a ^ b) ^ c = a ^ (b * c) :=
eq.mpr (id (Eq._oldrec (Eq.refl ((a ^ b) ^ c = a ^ (b * c))) (mul_comm b c)))
(quotient.induction_on₃ a b c
fun (α β γ : Type u_1) => quotient.sound (Nonempty.intro (equiv.arrow_arrow_equiv_prod_arrow γ β α)))
@[simp] theorem pow_cast_right (κ : cardinal) (n : ℕ) : κ ^ ↑n = κ ^ n := sorry
protected theorem zero_le (a : cardinal) : 0 ≤ a := sorry
protected theorem add_le_add {a : cardinal} {b : cardinal} {c : cardinal} {d : cardinal} : a ≤ b → c ≤ d → a + c ≤ b + d := sorry
protected theorem add_le_add_left (a : cardinal) {b : cardinal} {c : cardinal} : b ≤ c → a + b ≤ a + c :=
cardinal.add_le_add (le_refl a)
protected theorem le_iff_exists_add {a : cardinal} {b : cardinal} : a ≤ b ↔ ∃ (c : cardinal), b = a + c := sorry
protected instance order_bot : order_bot cardinal :=
order_bot.mk 0 linear_order.le linear_order.lt linear_order.le_refl linear_order.le_trans linear_order.le_antisymm
cardinal.zero_le
protected instance canonically_ordered_comm_semiring : canonically_ordered_comm_semiring cardinal :=
canonically_ordered_comm_semiring.mk comm_semiring.add comm_semiring.add_assoc comm_semiring.zero comm_semiring.zero_add
comm_semiring.add_zero comm_semiring.add_comm order_bot.le order_bot.lt order_bot.le_refl order_bot.le_trans
order_bot.le_antisymm sorry sorry order_bot.bot order_bot.bot_le cardinal.le_iff_exists_add comm_semiring.mul
comm_semiring.mul_assoc comm_semiring.one comm_semiring.one_mul comm_semiring.mul_one comm_semiring.zero_mul
comm_semiring.mul_zero comm_semiring.left_distrib comm_semiring.right_distrib comm_semiring.mul_comm
cardinal.eq_zero_or_eq_zero_of_mul_eq_zero
@[simp] theorem zero_lt_one : 0 < 1 :=
lt_of_le_of_ne (zero_le 1) zero_ne_one
theorem zero_power_le (c : cardinal) : 0 ^ c ≤ 1 := sorry
theorem power_le_power_left {a : cardinal} {b : cardinal} {c : cardinal} : a ≠ 0 → b ≤ c → a ^ b ≤ a ^ c := sorry
theorem power_le_max_power_one {a : cardinal} {b : cardinal} {c : cardinal} (h : b ≤ c) : a ^ b ≤ max (a ^ c) 1 := sorry
theorem power_le_power_right {a : cardinal} {b : cardinal} {c : cardinal} : a ≤ b → a ^ c ≤ b ^ c := sorry
theorem cantor (a : cardinal) : a < bit0 1 ^ a := sorry
protected instance no_top_order : no_top_order cardinal :=
no_top_order.mk fun (a : cardinal) => Exists.intro (bit0 1 ^ a) (cantor a)
/-- The minimum cardinal in a family of cardinals (the existence
of which is provided by `injective_min`). -/
def min {ι : Type u_1} (I : Nonempty ι) (f : ι → cardinal) : cardinal :=
f (classical.some sorry)
theorem min_eq {ι : Type u_1} (I : Nonempty ι) (f : ι → cardinal) : ∃ (i : ι), min I f = f i :=
Exists.intro (classical.some (min._proof_1 I f)) rfl
theorem min_le {ι : Type u_1} {I : Nonempty ι} (f : ι → cardinal) (i : ι) : min I f ≤ f i := sorry
theorem le_min {ι : Type u_1} {I : Nonempty ι} {f : ι → cardinal} {a : cardinal} : a ≤ min I f ↔ ∀ (i : ι), a ≤ f i := sorry
protected theorem wf : well_founded Less := sorry
protected instance has_wf : has_well_founded cardinal :=
has_well_founded.mk Less cardinal.wf
protected instance wo : is_well_order cardinal Less :=
is_well_order.mk cardinal.wf
/-- The successor cardinal - the smallest cardinal greater than
`c`. This is not the same as `c + 1` except in the case of finite `c`. -/
def succ (c : cardinal) : cardinal :=
min sorry subtype.val
theorem lt_succ_self (c : cardinal) : c < succ c := sorry
theorem succ_le {a : cardinal} {b : cardinal} : succ a ≤ b ↔ a < b :=
{ mp := lt_of_lt_of_le (lt_succ_self a), mpr := fun (h : a < b) => min_le subtype.val { val := b, property := h } }
theorem lt_succ {a : cardinal} {b : cardinal} : a < succ b ↔ a ≤ b :=
eq.mpr (id (Eq._oldrec (Eq.refl (a < succ b ↔ a ≤ b)) (Eq.symm (propext not_le))))
(eq.mpr (id (Eq._oldrec (Eq.refl (¬succ b ≤ a ↔ a ≤ b)) (propext succ_le)))
(eq.mpr (id (Eq._oldrec (Eq.refl (¬b < a ↔ a ≤ b)) (propext not_lt))) (iff.refl (a ≤ b))))
theorem add_one_le_succ (c : cardinal) : c + 1 ≤ succ c := sorry
theorem succ_ne_zero (c : cardinal) : succ c ≠ 0 :=
eq.mpr (id (Eq._oldrec (Eq.refl (succ c ≠ 0)) (Eq.symm (propext pos_iff_ne_zero))))
(eq.mpr (id (Eq._oldrec (Eq.refl (0 < succ c)) (propext lt_succ))) (zero_le c))
/-- The indexed sum of cardinals is the cardinality of the
indexed disjoint union, i.e. sigma type. -/
def sum {ι : Type u_1} (f : ι → cardinal) : cardinal :=
mk (sigma fun (i : ι) => quotient.out (f i))
theorem le_sum {ι : Type u_1} (f : ι → cardinal) (i : ι) : f i ≤ sum f := sorry
@[simp] theorem sum_mk {ι : Type u_1} (f : ι → Type u_2) : (sum fun (i : ι) => mk (f i)) = mk (sigma fun (i : ι) => f i) :=
quot.sound
(Nonempty.intro (equiv.sigma_congr_right fun (i : ι) => Classical.choice (quotient.exact (quot.out_eq (mk (f i))))))
theorem sum_const (ι : Type u) (a : cardinal) : (sum fun (_x : ι) => a) = mk ι * a := sorry
theorem sum_le_sum {ι : Type u_1} (f : ι → cardinal) (g : ι → cardinal) (H : ∀ (i : ι), f i ≤ g i) : sum f ≤ sum g := sorry
/-- The indexed supremum of cardinals is the smallest cardinal above
everything in the family. -/
def sup {ι : Type u_1} (f : ι → cardinal) : cardinal :=
min sorry fun (a : Subtype fun (c : cardinal) => ∀ (i : ι), f i ≤ c) => subtype.val a
theorem le_sup {ι : Type u_1} (f : ι → cardinal) (i : ι) : f i ≤ sup f := sorry
theorem sup_le {ι : Type u_1} {f : ι → cardinal} {a : cardinal} : sup f ≤ a ↔ ∀ (i : ι), f i ≤ a :=
{ mp := fun (h : sup f ≤ a) (i : ι) => le_trans (le_sup f i) h,
mpr := fun (h : ∀ (i : ι), f i ≤ a) => id (id (min_le subtype.val { val := a, property := h })) }
theorem sup_le_sup {ι : Type u_1} (f : ι → cardinal) (g : ι → cardinal) (H : ∀ (i : ι), f i ≤ g i) : sup f ≤ sup g :=
iff.mpr sup_le fun (i : ι) => le_trans (H i) (le_sup g i)
theorem sup_le_sum {ι : Type u_1} (f : ι → cardinal) : sup f ≤ sum f :=
iff.mpr sup_le (le_sum fun (i : ι) => f i)
theorem sum_le_sup {ι : Type u} (f : ι → cardinal) : sum f ≤ mk ι * sup f :=
eq.mpr (id (Eq._oldrec (Eq.refl (sum f ≤ mk ι * sup f)) (Eq.symm (sum_const ι (sup f)))))
(sum_le_sum f (fun (_x : ι) => sup f) (le_sup fun (i : ι) => f i))
theorem sup_eq_zero {ι : Type u_1} {f : ι → cardinal} (h : ι → False) : sup f = 0 :=
eq.mpr (id (Eq._oldrec (Eq.refl (sup f = 0)) (Eq.symm (propext nonpos_iff_eq_zero))))
(eq.mpr (id (Eq._oldrec (Eq.refl (sup f ≤ 0)) (propext sup_le))) fun (x : ι) => False._oldrec (h x))
/-- The indexed product of cardinals is the cardinality of the Pi type
(dependent product). -/
def prod {ι : Type u} (f : ι → cardinal) : cardinal :=
mk ((i : ι) → quotient.out (f i))
@[simp] theorem prod_mk {ι : Type u_1} (f : ι → Type u_2) : (prod fun (i : ι) => mk (f i)) = mk ((i : ι) → f i) :=
quot.sound (Nonempty.intro (equiv.Pi_congr_right fun (i : ι) => Classical.choice (quotient.exact (mk_out (mk (f i))))))
theorem prod_const (ι : Type u) (a : cardinal) : (prod fun (_x : ι) => a) = a ^ mk ι := sorry
theorem prod_le_prod {ι : Type u_1} (f : ι → cardinal) (g : ι → cardinal) (H : ∀ (i : ι), f i ≤ g i) : prod f ≤ prod g := sorry
theorem prod_ne_zero {ι : Type u_1} (f : ι → cardinal) : prod f ≠ 0 ↔ ∀ (i : ι), f i ≠ 0 := sorry
theorem prod_eq_zero {ι : Type u_1} (f : ι → cardinal) : prod f = 0 ↔ ∃ (i : ι), f i = 0 := sorry
/-- The universe lift operation on cardinals. You can specify the universes explicitly with
`lift.{u v} : cardinal.{u} → cardinal.{max u v}` -/
def lift (c : cardinal) : cardinal :=
quotient.lift_on c (fun (α : Type u) => quotient.mk (ulift α)) sorry
theorem lift_mk (α : Type u) : lift (mk α) = mk (ulift α) :=
rfl
theorem lift_umax : lift = lift := sorry
theorem lift_id' (a : cardinal) : lift a = a :=
quot.induction_on a fun (α : Type (max u_1 u_2)) => quot.sound (Nonempty.intro equiv.ulift)
@[simp] theorem lift_id (a : cardinal) : lift a = a :=
lift_id'
@[simp] theorem lift_lift (a : cardinal) : lift (lift a) = lift a :=
quot.induction_on a
fun (α : Type u) =>
quotient.sound (Nonempty.intro (equiv.trans equiv.ulift (equiv.trans equiv.ulift (equiv.symm equiv.ulift))))
theorem lift_mk_le {α : Type u} {β : Type v} : lift (mk α) ≤ lift (mk β) ↔ Nonempty (α ↪ β) := sorry
theorem lift_mk_eq {α : Type u} {β : Type v} : lift (mk α) = lift (mk β) ↔ Nonempty (α ≃ β) := sorry
@[simp] theorem lift_le {a : cardinal} {b : cardinal} : lift a ≤ lift b ↔ a ≤ b := sorry
@[simp] theorem lift_inj {a : cardinal} {b : cardinal} : lift a = lift b ↔ a = b := sorry
@[simp] theorem lift_lt {a : cardinal} {b : cardinal} : lift a < lift b ↔ a < b := sorry
@[simp] theorem lift_zero : lift 0 = 0 :=
quotient.sound (Nonempty.intro (equiv.trans equiv.ulift equiv.pempty_equiv_pempty))
@[simp] theorem lift_one : lift 1 = 1 :=
quotient.sound (Nonempty.intro (equiv.trans equiv.ulift equiv.punit_equiv_punit))
@[simp] theorem lift_add (a : cardinal) (b : cardinal) : lift (a + b) = lift a + lift b :=
quotient.induction_on₂ a b
fun (α β : Type u_1) =>
quotient.sound (Nonempty.intro (equiv.trans equiv.ulift (equiv.symm (equiv.sum_congr equiv.ulift equiv.ulift))))
@[simp] theorem lift_mul (a : cardinal) (b : cardinal) : lift (a * b) = lift a * lift b :=
quotient.induction_on₂ a b
fun (α β : Type u_1) =>
quotient.sound (Nonempty.intro (equiv.trans equiv.ulift (equiv.symm (equiv.prod_congr equiv.ulift equiv.ulift))))
@[simp] theorem lift_power (a : cardinal) (b : cardinal) : lift (a ^ b) = lift a ^ lift b :=
quotient.induction_on₂ a b
fun (α β : Type u_1) =>
quotient.sound (Nonempty.intro (equiv.trans equiv.ulift (equiv.symm (equiv.arrow_congr equiv.ulift equiv.ulift))))
@[simp] theorem lift_two_power (a : cardinal) : lift (bit0 1 ^ a) = bit0 1 ^ lift a := sorry
@[simp] theorem lift_min {ι : Type u_1} {I : Nonempty ι} (f : ι → cardinal) : lift (min I f) = min I (lift ∘ f) := sorry
theorem lift_down {a : cardinal} {b : cardinal} : b ≤ lift a → ∃ (a' : cardinal), lift a' = b := sorry
theorem le_lift_iff {a : cardinal} {b : cardinal} : b ≤ lift a ↔ ∃ (a' : cardinal), lift a' = b ∧ a' ≤ a := sorry
theorem lt_lift_iff {a : cardinal} {b : cardinal} : b < lift a ↔ ∃ (a' : cardinal), lift a' = b ∧ a' < a := sorry
@[simp] theorem lift_succ (a : cardinal) : lift (succ a) = succ (lift a) := sorry
@[simp] theorem lift_max {a : cardinal} {b : cardinal} : lift a = lift b ↔ lift a = lift b := sorry
theorem mk_prod {α : Type u} {β : Type v} : mk (α × β) = lift (mk α) * lift (mk β) :=
quotient.sound (Nonempty.intro (equiv.prod_congr (equiv.symm equiv.ulift) (equiv.symm equiv.ulift)))
theorem sum_const_eq_lift_mul (ι : Type u) (a : cardinal) : (sum fun (_x : ι) => a) = lift (mk ι) * lift a := sorry
/-- `ω` is the smallest infinite cardinal, also known as ℵ₀. -/
def omega : cardinal :=
lift (mk ℕ)
theorem mk_nat : mk ℕ = omega :=
Eq.symm (lift_id (mk ℕ))
theorem omega_ne_zero : omega ≠ 0 :=
iff.mpr ne_zero_iff_nonempty (Nonempty.intro (ulift.up 0))
theorem omega_pos : 0 < omega :=
iff.mpr pos_iff_ne_zero omega_ne_zero
@[simp] theorem lift_omega : lift omega = omega :=
lift_lift (mk ℕ)
/- properties about the cast from nat -/
@[simp] theorem mk_fin (n : ℕ) : mk (fin n) = ↑n := sorry
@[simp] theorem lift_nat_cast (n : ℕ) : lift ↑n = ↑n := sorry
theorem lift_eq_nat_iff {a : cardinal} {n : ℕ} : lift a = ↑n ↔ a = ↑n :=
eq.mpr (id (Eq._oldrec (Eq.refl (lift a = ↑n ↔ a = ↑n)) (Eq.symm (lift_nat_cast n))))
(eq.mpr (id (Eq._oldrec (Eq.refl (lift a = lift ↑n ↔ a = ↑n)) (propext lift_inj))) (iff.refl (a = ↑n)))
theorem nat_eq_lift_eq_iff {n : ℕ} {a : cardinal} : ↑n = lift a ↔ ↑n = a :=
eq.mpr (id (Eq._oldrec (Eq.refl (↑n = lift a ↔ ↑n = a)) (Eq.symm (lift_nat_cast n))))
(eq.mpr (id (Eq._oldrec (Eq.refl (lift ↑n = lift a ↔ ↑n = a)) (propext lift_inj))) (iff.refl (↑n = a)))
theorem lift_mk_fin (n : ℕ) : lift (mk (fin n)) = ↑n := sorry
theorem fintype_card (α : Type u) [fintype α] : mk α = ↑(fintype.card α) := sorry
theorem card_le_of_finset {α : Type u_1} (s : finset α) : ↑(finset.card s) ≤ mk α := sorry
@[simp] theorem nat_cast_pow {m : ℕ} {n : ℕ} : ↑(m ^ n) = ↑m ^ ↑n := sorry
@[simp] theorem nat_cast_le {m : ℕ} {n : ℕ} : ↑m ≤ ↑n ↔ m ≤ n := sorry
@[simp] theorem nat_cast_lt {m : ℕ} {n : ℕ} : ↑m < ↑n ↔ m < n := sorry
@[simp] theorem nat_cast_inj {m : ℕ} {n : ℕ} : ↑m = ↑n ↔ m = n := sorry
@[simp] theorem nat_succ (n : ℕ) : ↑(Nat.succ n) = succ ↑n :=
le_antisymm (add_one_le_succ (nat.cast n)) (iff.mpr succ_le (iff.mpr nat_cast_lt (nat.lt_succ_self n)))
@[simp] theorem succ_zero : succ 0 = 1 := sorry
theorem card_le_of {α : Type u} {n : ℕ} (H : ∀ (s : finset α), finset.card s ≤ n) : mk α ≤ ↑n := sorry
theorem cantor' (a : cardinal) {b : cardinal} (hb : 1 < b) : a < b ^ a := sorry
theorem one_le_iff_pos {c : cardinal} : 1 ≤ c ↔ 0 < c :=
eq.mpr (id (Eq._oldrec (Eq.refl (1 ≤ c ↔ 0 < c)) (Eq.symm succ_zero)))
(eq.mpr (id (Eq._oldrec (Eq.refl (succ 0 ≤ c ↔ 0 < c)) (propext succ_le))) (iff.refl (0 < c)))
theorem one_le_iff_ne_zero {c : cardinal} : 1 ≤ c ↔ c ≠ 0 :=
eq.mpr (id (Eq._oldrec (Eq.refl (1 ≤ c ↔ c ≠ 0)) (propext one_le_iff_pos)))
(eq.mpr (id (Eq._oldrec (Eq.refl (0 < c ↔ c ≠ 0)) (propext pos_iff_ne_zero))) (iff.refl (c ≠ 0)))
theorem nat_lt_omega (n : ℕ) : ↑n < omega := sorry
@[simp] theorem one_lt_omega : 1 < omega := sorry
theorem lt_omega {c : cardinal} : c < omega ↔ ∃ (n : ℕ), c = ↑n := sorry
theorem omega_le {c : cardinal} : omega ≤ c ↔ ∀ (n : ℕ), ↑n ≤ c := sorry
theorem lt_omega_iff_fintype {α : Type u} : mk α < omega ↔ Nonempty (fintype α) := sorry
theorem lt_omega_iff_finite {α : Type u_1} {S : set α} : mk ↥S < omega ↔ set.finite S :=
lt_omega_iff_fintype
protected instance can_lift_cardinal_nat : can_lift cardinal ℕ :=
can_lift.mk coe (fun (x : cardinal) => x < omega) sorry
theorem add_lt_omega {a : cardinal} {b : cardinal} (ha : a < omega) (hb : b < omega) : a + b < omega := sorry
theorem add_lt_omega_iff {a : cardinal} {b : cardinal} : a + b < omega ↔ a < omega ∧ b < omega := sorry
theorem mul_lt_omega {a : cardinal} {b : cardinal} (ha : a < omega) (hb : b < omega) : a * b < omega := sorry
theorem mul_lt_omega_iff {a : cardinal} {b : cardinal} : a * b < omega ↔ a = 0 ∨ b = 0 ∨ a < omega ∧ b < omega := sorry
theorem mul_lt_omega_iff_of_ne_zero {a : cardinal} {b : cardinal} (ha : a ≠ 0) (hb : b ≠ 0) : a * b < omega ↔ a < omega ∧ b < omega := sorry
theorem power_lt_omega {a : cardinal} {b : cardinal} (ha : a < omega) (hb : b < omega) : a ^ b < omega := sorry
theorem eq_one_iff_subsingleton_and_nonempty {α : Type u_1} : mk α = 1 ↔ subsingleton α ∧ Nonempty α := sorry
theorem infinite_iff {α : Type u} : infinite α ↔ omega ≤ mk α := sorry
theorem countable_iff {α : Type u} (s : set α) : set.countable s ↔ mk ↥s ≤ omega := sorry
theorem denumerable_iff {α : Type u} : Nonempty (denumerable α) ↔ mk α = omega := sorry
theorem mk_int : mk ℤ = omega :=
iff.mp denumerable_iff (Nonempty.intro denumerable.int)
theorem mk_pnat : mk ℕ+ = omega :=
iff.mp denumerable_iff (Nonempty.intro denumerable.pnat)
theorem two_le_iff {α : Type u} : bit0 1 ≤ mk α ↔ ∃ (x : α), ∃ (y : α), x ≠ y := sorry
theorem two_le_iff' {α : Type u} (x : α) : bit0 1 ≤ mk α ↔ ∃ (y : α), x ≠ y := sorry
/-- König's theorem -/
theorem sum_lt_prod {ι : Type u_1} (f : ι → cardinal) (g : ι → cardinal) (H : ∀ (i : ι), f i < g i) : sum f < prod g := sorry
@[simp] theorem mk_empty : mk empty = 0 :=
fintype_card empty
@[simp] theorem mk_pempty : mk pempty = 0 :=
fintype_card pempty
@[simp] theorem mk_plift_of_false {p : Prop} (h : ¬p) : mk (plift p) = 0 :=
quotient.sound (Nonempty.intro (equiv.trans equiv.plift (equiv.equiv_pempty h)))
theorem mk_unit : mk Unit = 1 :=
Eq.trans (fintype_card Unit) nat.cast_one
@[simp] theorem mk_punit : mk PUnit = 1 :=
Eq.trans (fintype_card PUnit) nat.cast_one
@[simp] theorem mk_singleton {α : Type u} (x : α) : mk ↥(singleton x) = 1 :=
quotient.sound (Nonempty.intro (equiv.set.singleton x))
@[simp] theorem mk_plift_of_true {p : Prop} (h : p) : mk (plift p) = 1 :=
quotient.sound (Nonempty.intro (equiv.trans equiv.plift (equiv.prop_equiv_punit h)))
@[simp] theorem mk_bool : mk Bool = bit0 1 :=
quotient.sound (Nonempty.intro equiv.bool_equiv_punit_sum_punit)
@[simp] theorem mk_Prop : mk Prop = bit0 1 :=
Eq.trans (quotient.sound (Nonempty.intro equiv.Prop_equiv_bool)) mk_bool
@[simp] theorem mk_set {α : Type u} : mk (set α) = bit0 1 ^ mk α := sorry
@[simp] theorem mk_option {α : Type u} : mk (Option α) = mk α + 1 :=
quotient.sound (Nonempty.intro (equiv.option_equiv_sum_punit α))
theorem mk_list_eq_sum_pow (α : Type u) : mk (List α) = sum fun (n : ℕ) => mk α ^ ↑n := sorry
theorem mk_quot_le {α : Type u} {r : α → α → Prop} : mk (Quot r) ≤ mk α :=
mk_le_of_surjective quot.exists_rep
theorem mk_quotient_le {α : Type u} {s : setoid α} : mk (quotient s) ≤ mk α :=
mk_quot_le
theorem mk_subtype_le {α : Type u} (p : α → Prop) : mk (Subtype p) ≤ mk α :=
Nonempty.intro (function.embedding.subtype p)
theorem mk_subtype_le_of_subset {α : Type u} {p : α → Prop} {q : α → Prop} (h : ∀ {x : α}, p x → q x) : mk (Subtype p) ≤ mk (Subtype q) :=
Nonempty.intro (function.embedding.subtype_map (function.embedding.refl α) h)
@[simp] theorem mk_emptyc (α : Type u) : mk ↥∅ = 0 :=
quotient.sound (Nonempty.intro (equiv.set.pempty α))
theorem mk_emptyc_iff {α : Type u} {s : set α} : mk ↥s = 0 ↔ s = ∅ := sorry
theorem mk_univ {α : Type u} : mk ↥set.univ = mk α :=
quotient.sound (Nonempty.intro (equiv.set.univ α))
theorem mk_image_le {α : Type u} {β : Type u} {f : α → β} {s : set α} : mk ↥(f '' s) ≤ mk ↥s :=
mk_le_of_surjective set.surjective_onto_image
theorem mk_image_le_lift {α : Type u} {β : Type v} {f : α → β} {s : set α} : lift (mk ↥(f '' s)) ≤ lift (mk ↥s) :=
iff.mpr lift_mk_le
(Nonempty.intro (function.embedding.of_surjective (set.image_factorization f s) set.surjective_onto_image))
theorem mk_range_le {α : Type u} {β : Type u} {f : α → β} : mk ↥(set.range f) ≤ mk α :=
mk_le_of_surjective set.surjective_onto_range
theorem mk_range_eq {α : Type u} {β : Type u} (f : α → β) (h : function.injective f) : mk ↥(set.range f) = mk α :=
quotient.sound (Nonempty.intro (equiv.symm (equiv.set.range f h)))
theorem mk_range_eq_of_injective {α : Type u} {β : Type v} {f : α → β} (hf : function.injective f) : lift (mk ↥(set.range f)) = lift (mk α) := sorry
theorem mk_range_eq_lift {α : Type u} {β : Type v} {f : α → β} (hf : function.injective f) : lift (mk ↥(set.range f)) = lift (mk α) :=
iff.mpr lift_mk_eq (Nonempty.intro (equiv.symm (equiv.set.range f hf)))
theorem mk_image_eq {α : Type u} {β : Type u} {f : α → β} {s : set α} (hf : function.injective f) : mk ↥(f '' s) = mk ↥s :=
quotient.sound (Nonempty.intro (equiv.symm (equiv.set.image f s hf)))
theorem mk_Union_le_sum_mk {α : Type u} {ι : Type u} {f : ι → set α} : mk ↥(set.Union fun (i : ι) => f i) ≤ sum fun (i : ι) => mk ↥(f i) :=
trans_rel_left LessEq (mk_le_of_surjective (set.sigma_to_Union_surjective f)) (Eq.symm (sum_mk fun (i : ι) => ↥(f i)))
theorem mk_Union_eq_sum_mk {α : Type u} {ι : Type u} {f : ι → set α} (h : ∀ (i j : ι), i ≠ j → disjoint (f i) (f j)) : mk ↥(set.Union fun (i : ι) => f i) = sum fun (i : ι) => mk ↥(f i) :=
Eq.trans (quot.sound (Nonempty.intro (set.Union_eq_sigma_of_disjoint h))) (Eq.symm (sum_mk fun (i : ι) => ↥(f i)))
theorem mk_Union_le {α : Type u} {ι : Type u} (f : ι → set α) : mk ↥(set.Union fun (i : ι) => f i) ≤ mk ι * sup fun (i : ι) => mk ↥(f i) :=
le_trans mk_Union_le_sum_mk (sum_le_sup fun (i : ι) => mk ↥(f i))
theorem mk_sUnion_le {α : Type u} (A : set (set α)) : mk ↥(⋃₀A) ≤ mk ↥A * sup fun (s : ↥A) => mk ↥s :=
eq.mpr (id (Eq._oldrec (Eq.refl (mk ↥(⋃₀A) ≤ mk ↥A * sup fun (s : ↥A) => mk ↥s)) set.sUnion_eq_Union))
(mk_Union_le fun (i : ↥A) => ↑i)
theorem mk_bUnion_le {ι : Type u} {α : Type u} (A : ι → set α) (s : set ι) : mk ↥(set.Union fun (x : ι) => set.Union fun (H : x ∈ s) => A x) ≤ mk ↥s * sup fun (x : ↥s) => mk ↥(A (subtype.val x)) := sorry
@[simp] theorem finset_card {α : Type u} {s : finset α} : ↑(finset.card s) = mk ↥↑s := sorry
theorem finset_card_lt_omega {α : Type u} (s : finset α) : mk ↥↑s < omega :=
eq.mpr (id (Eq._oldrec (Eq.refl (mk ↥↑s < omega)) (propext lt_omega_iff_fintype)))
(Nonempty.intro (finset.subtype.fintype s))
theorem mk_union_add_mk_inter {α : Type u} {S : set α} {T : set α} : mk ↥(S ∪ T) + mk ↥(S ∩ T) = mk ↥S + mk ↥T :=
quot.sound (Nonempty.intro (equiv.set.union_sum_inter S T))
/-- The cardinality of a union is at most the sum of the cardinalities
of the two sets. -/
theorem mk_union_le {α : Type u} (S : set α) (T : set α) : mk ↥(S ∪ T) ≤ mk ↥S + mk ↥T :=
mk_union_add_mk_inter ▸ self_le_add_right (mk ↥(S ∪ T)) (mk ↥(S ∩ T))
theorem mk_union_of_disjoint {α : Type u} {S : set α} {T : set α} (H : disjoint S T) : mk ↥(S ∪ T) = mk ↥S + mk ↥T :=
quot.sound (Nonempty.intro (equiv.set.union H))
theorem mk_sum_compl {α : Type u_1} (s : set α) : mk ↥s + mk ↥(sᶜ) = mk α :=
quotient.sound (Nonempty.intro (equiv.set.sum_compl s))
theorem mk_le_mk_of_subset {α : Type u_1} {s : set α} {t : set α} (h : s ⊆ t) : mk ↥s ≤ mk ↥t :=
Nonempty.intro (set.embedding_of_subset s t h)
theorem mk_subtype_mono {α : Type u} {p : α → Prop} {q : α → Prop} (h : ∀ (x : α), p x → q x) : mk (Subtype fun (x : α) => p x) ≤ mk (Subtype fun (x : α) => q x) :=
Nonempty.intro (set.embedding_of_subset (fun (x : α) => p x) (fun (x : α) => q x) h)
theorem mk_set_le {α : Type u} (s : set α) : mk ↥s ≤ mk α :=
mk_subtype_le s
theorem mk_image_eq_lift {α : Type u} {β : Type v} (f : α → β) (s : set α) (h : function.injective f) : lift (mk ↥(f '' s)) = lift (mk ↥s) :=
iff.mpr lift_mk_eq (Nonempty.intro (equiv.symm (equiv.set.image f s h)))
theorem mk_image_eq_of_inj_on_lift {α : Type u} {β : Type v} (f : α → β) (s : set α) (h : set.inj_on f s) : lift (mk ↥(f '' s)) = lift (mk ↥s) :=
iff.mpr lift_mk_eq (Nonempty.intro (equiv.symm (equiv.set.image_of_inj_on f s h)))
theorem mk_image_eq_of_inj_on {α : Type u} {β : Type u} (f : α → β) (s : set α) (h : set.inj_on f s) : mk ↥(f '' s) = mk ↥s :=
quotient.sound (Nonempty.intro (equiv.symm (equiv.set.image_of_inj_on f s h)))
theorem mk_subtype_of_equiv {α : Type u} {β : Type u} (p : β → Prop) (e : α ≃ β) : mk (Subtype fun (a : α) => p (coe_fn e a)) = mk (Subtype fun (b : β) => p b) :=
quotient.sound (Nonempty.intro (equiv.subtype_equiv_of_subtype e))
theorem mk_sep {α : Type u} (s : set α) (t : α → Prop) : mk ↥(has_sep.sep (fun (x : α) => t x) s) = mk ↥(set_of fun (x : ↥s) => t (subtype.val x)) :=
quotient.sound (Nonempty.intro (equiv.set.sep s t))
theorem mk_preimage_of_injective_lift {α : Type u} {β : Type v} (f : α → β) (s : set β) (h : function.injective f) : lift (mk ↥(f ⁻¹' s)) ≤ lift (mk ↥s) := sorry
theorem mk_preimage_of_subset_range_lift {α : Type u} {β : Type v} (f : α → β) (s : set β) (h : s ⊆ set.range f) : lift (mk ↥s) ≤ lift (mk ↥(f ⁻¹' s)) := sorry
theorem mk_preimage_of_injective_of_subset_range_lift {α : Type u} {β : Type v} (f : α → β) (s : set β) (h : function.injective f) (h2 : s ⊆ set.range f) : lift (mk ↥(f ⁻¹' s)) = lift (mk ↥s) :=
le_antisymm (mk_preimage_of_injective_lift f s h) (mk_preimage_of_subset_range_lift f s h2)
theorem mk_preimage_of_injective {α : Type u} {β : Type u} (f : α → β) (s : set β) (h : function.injective f) : mk ↥(f ⁻¹' s) ≤ mk ↥s := sorry
theorem mk_preimage_of_subset_range {α : Type u} {β : Type u} (f : α → β) (s : set β) (h : s ⊆ set.range f) : mk ↥s ≤ mk ↥(f ⁻¹' s) := sorry
theorem mk_preimage_of_injective_of_subset_range {α : Type u} {β : Type u} (f : α → β) (s : set β) (h : function.injective f) (h2 : s ⊆ set.range f) : mk ↥(f ⁻¹' s) = mk ↥s := sorry
theorem mk_subset_ge_of_subset_image_lift {α : Type u} {β : Type v} (f : α → β) {s : set α} {t : set β} (h : t ⊆ f '' s) : lift (mk ↥t) ≤ lift (mk ↥(has_sep.sep (fun (x : α) => f x ∈ t) s)) := sorry
theorem mk_subset_ge_of_subset_image {α : Type u} {β : Type u} (f : α → β) {s : set α} {t : set β} (h : t ⊆ f '' s) : mk ↥t ≤ mk ↥(has_sep.sep (fun (x : α) => f x ∈ t) s) := sorry
theorem le_mk_iff_exists_subset {c : cardinal} {α : Type u} {s : set α} : c ≤ mk ↥s ↔ ∃ (p : set α), p ⊆ s ∧ mk ↥p = c := sorry
/-- The function α^{<β}, defined to be sup_{γ < β} α^γ.
We index over {s : set β.out // mk s < β } instead of {γ // γ < β}, because the latter lives in a
higher universe -/
def powerlt (α : cardinal) (β : cardinal) : cardinal :=
sup fun (s : Subtype fun (s : set (quotient.out β)) => mk ↥s < β) => α ^ mk ↥s
infixl:80 " ^< " => Mathlib.cardinal.powerlt
theorem powerlt_aux {c : cardinal} {c' : cardinal} (h : c < c') : ∃ (s : Subtype fun (s : set (quotient.out c')) => mk ↥s < c'), mk ↥s = c := sorry
theorem le_powerlt {c₁ : cardinal} {c₂ : cardinal} {c₃ : cardinal} (h : c₂ < c₃) : c₁ ^ c₂ ≤ c₁ ^< c₃ := sorry
theorem powerlt_le {c₁ : cardinal} {c₂ : cardinal} {c₃ : cardinal} : c₁ ^< c₂ ≤ c₃ ↔ ∀ (c₄ : cardinal), c₄ < c₂ → c₁ ^ c₄ ≤ c₃ := sorry
theorem powerlt_le_powerlt_left {a : cardinal} {b : cardinal} {c : cardinal} (h : b ≤ c) : a ^< b ≤ a ^< c := sorry
theorem powerlt_succ {c₁ : cardinal} {c₂ : cardinal} (h : c₁ ≠ 0) : c₁ ^< succ c₂ = c₁ ^ c₂ := sorry
theorem powerlt_max {c₁ : cardinal} {c₂ : cardinal} {c₃ : cardinal} : c₁ ^< max c₂ c₃ = max (c₁ ^< c₂) (c₁ ^< c₃) := sorry
theorem zero_powerlt {a : cardinal} (h : a ≠ 0) : 0 ^< a = 1 := sorry
theorem powerlt_zero {a : cardinal} : a ^< 0 = 0 := sorry
|
7fa960cd263d13f5abd4a1ab8c48d4c5a940263b | 9be442d9ec2fcf442516ed6e9e1660aa9071b7bd | /tests/lean/run/funext.lean | beaf5310a06343261261a1f5927ecf6be6461be7 | [
"Apache-2.0",
"LLVM-exception",
"NCSA",
"LGPL-3.0-only",
"LicenseRef-scancode-inner-net-2.0",
"BSD-3-Clause",
"LGPL-2.0-or-later",
"Spencer-94",
"LGPL-2.1-or-later",
"HPND",
"LicenseRef-scancode-pcre",
"ISC",
"LGPL-2.1-only",
"LicenseRef-scancode-other-permissive",
"SunPro",
"CMU-Mach"... | permissive | EdAyers/lean4 | 57ac632d6b0789cb91fab2170e8c9e40441221bd | 37ba0df5841bde51dbc2329da81ac23d4f6a4de4 | refs/heads/master | 1,676,463,245,298 | 1,660,619,433,000 | 1,660,619,433,000 | 183,433,437 | 1 | 0 | Apache-2.0 | 1,657,612,672,000 | 1,556,196,574,000 | Lean | UTF-8 | Lean | false | false | 807 | lean | theorem ex1 : (fun y => y + 0) = (fun x => 0 + x) := by
funext x
simp
theorem ex2 : (fun y x => y + x + 0) = (fun x y => y + x) := by
funext x y
rw [Nat.add_zero, Nat.add_comm]
theorem ex3 : (fun (x : Nat × Nat) => x.1 + x.2) = (fun (x : Nat × Nat) => x.2 + x.1) := by
funext (a, b)
show a + b = b + a
rw [Nat.add_comm]
theorem ex4 : (fun (x : Nat × Nat) (y : Nat × Nat) => x.1 + y.2) = (fun (x : Nat × Nat) (z : Nat × Nat) => z.2 + x.1) := by
funext (a, b) (c, d)
show a + d = d + a
rw [Nat.add_comm]
theorem ex5 : (fun (x : Id Nat) => x.succ + 0) = (fun (x : Id Nat) => 0 + x.succ) := by
funext (x : Nat)
have y := x + 1 -- if `(x : Nat)` is not used at `funext`, then `x+1` would fail to be elaborated since we don't have the instance `Add (Id Nat)`
rw [Nat.add_comm]
|
16426eceab5e708cb568604d4e6eaee18be4f3bd | 8cae430f0a71442d02dbb1cbb14073b31048e4b0 | /test/with_local_reducibility.lean | 3d71ae56e8c4d917b1fdffb71a3ed2244ff3230f | [
"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 | 1,887 | lean | import tactic.with_local_reducibility
namespace test
open tactic
open tactic.decl_reducibility
meta def guard_decl_reducibility (n : name) (r : decl_reducibility) :=
do x ← get_decl_reducibility n,
guard (x = r)
-- Test declarations
@[irreducible] def wlr_irred : ℕ := 1
def wlr_semired : ℕ := 2
@[reducible] def wlr_red : ℕ := 3
-- Test get_decl_reducibility
run_cmd (guard_decl_reducibility ``wlr_irred irreducible)
run_cmd (guard_decl_reducibility ``wlr_semired semireducible)
run_cmd (guard_decl_reducibility ``wlr_red reducible)
run_cmd success_if_fail (get_decl_reducibility `wlr_nonexistent)
section
-- Test that original reducibility is hidden by local attributes
local attribute [reducible] wlr_irred
local attribute [irreducible] wlr_red
run_cmd (guard_decl_reducibility ``wlr_irred reducible)
run_cmd (guard_decl_reducibility ``wlr_red irreducible)
end
-- Test set_decl_reducibility
run_cmd do
set_decl_reducibility ``wlr_red semireducible,
guard_decl_reducibility ``wlr_red semireducible,
set_decl_reducibility ``wlr_red irreducible,
guard_decl_reducibility ``wlr_red irreducible,
set_decl_reducibility ``wlr_red reducible,
guard_decl_reducibility ``wlr_red reducible
-- Test with_local_reducibility: normal exit
run_cmd do
with_local_reducibility ``wlr_semired reducible
(do guard_decl_reducibility ``wlr_semired reducible,
with_local_reducibility ``wlr_semired irreducible
(guard_decl_reducibility ``wlr_semired irreducible),
guard_decl_reducibility ``wlr_semired reducible),
guard_decl_reducibility ``wlr_semired semireducible
-- Test with_local_reducibility: abnormal exit
run_cmd do
try (with_local_reducibility ``wlr_semired reducible
(do guard_decl_reducibility ``wlr_semired reducible,
(fail "" : tactic unit))),
guard_decl_reducibility ``wlr_semired semireducible
end test
|
162ac4c542361b7084535a51a04ff652d0fe7a03 | 6065973b1fa7bbacba932011c9e2f32bf7bdd6c1 | /src/data/finset/sort.lean | da82621505146d68c25df67afd5222566b9720e6 | [
"Apache-2.0"
] | permissive | khmacdonald/mathlib | 90a0fa2222369fa69ed2fbfb841b74d2bdfd66cb | 3669cb35c578441812ad30fd967d21a94b6f387e | refs/heads/master | 1,675,863,801,090 | 1,609,761,876,000 | 1,609,761,876,000 | null | 0 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 8,215 | lean | /-
Copyright (c) 2017 Mario Carneiro. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Author: Mario Carneiro
-/
import data.finset.lattice
import data.multiset.sort
import data.list.nodup_equiv_fin
/-!
# Construct a sorted list from a finset.
-/
namespace finset
open multiset nat
variables {α β : Type*}
/-! ### sort -/
section sort
variables (r : α → α → Prop) [decidable_rel r]
[is_trans α r] [is_antisymm α r] [is_total α r]
/-- `sort s` constructs a sorted list from the unordered set `s`.
(Uses merge sort algorithm.) -/
def sort (s : finset α) : list α := sort r s.1
@[simp] theorem sort_sorted (s : finset α) : list.sorted r (sort r s) :=
sort_sorted _ _
@[simp] theorem sort_eq (s : finset α) : ↑(sort r s) = s.1 :=
sort_eq _ _
@[simp] theorem sort_nodup (s : finset α) : (sort r s).nodup :=
(by rw sort_eq; exact s.2 : @multiset.nodup α (sort r s))
@[simp] theorem sort_to_finset [decidable_eq α] (s : finset α) : (sort r s).to_finset = s :=
list.to_finset_eq (sort_nodup r s) ▸ eq_of_veq (sort_eq r s)
@[simp] theorem mem_sort {s : finset α} {a : α} : a ∈ sort r s ↔ a ∈ s :=
multiset.mem_sort _
@[simp] theorem length_sort {s : finset α} : (sort r s).length = s.card :=
multiset.length_sort _
end sort
section sort_linear_order
variables [linear_order α]
theorem sort_sorted_lt (s : finset α) : list.sorted (<) (sort (≤) s) :=
(sort_sorted _ _).imp₂ (@lt_of_le_of_ne _ _) (sort_nodup _ _)
lemma sorted_zero_eq_min'_aux (s : finset α) (h : 0 < (s.sort (≤)).length) (H : s.nonempty) :
(s.sort (≤)).nth_le 0 h = s.min' H :=
begin
let l := s.sort (≤),
apply le_antisymm,
{ have : s.min' H ∈ l := (finset.mem_sort (≤)).mpr (s.min'_mem H),
obtain ⟨i, i_lt, hi⟩ : ∃ i (hi : i < l.length), l.nth_le i hi = s.min' H :=
list.mem_iff_nth_le.1 this,
rw ← hi,
exact list.nth_le_of_sorted_of_le (s.sort_sorted (≤)) (nat.zero_le i) },
{ have : l.nth_le 0 h ∈ s := (finset.mem_sort (≤)).1 (list.nth_le_mem l 0 h),
exact s.min'_le _ this }
end
lemma sorted_zero_eq_min' {s : finset α} {h : 0 < (s.sort (≤)).length} :
(s.sort (≤)).nth_le 0 h = s.min' (card_pos.1 $ by rwa length_sort at h) :=
sorted_zero_eq_min'_aux _ _ _
lemma min'_eq_sorted_zero {s : finset α} {h : s.nonempty} :
s.min' h = (s.sort (≤)).nth_le 0 (by { rw length_sort, exact card_pos.2 h }) :=
(sorted_zero_eq_min'_aux _ _ _).symm
lemma sorted_last_eq_max'_aux (s : finset α) (h : (s.sort (≤)).length - 1 < (s.sort (≤)).length)
(H : s.nonempty) : (s.sort (≤)).nth_le ((s.sort (≤)).length - 1) h = s.max' H :=
begin
let l := s.sort (≤),
apply le_antisymm,
{ have : l.nth_le ((s.sort (≤)).length - 1) h ∈ s :=
(finset.mem_sort (≤)).1 (list.nth_le_mem l _ h),
exact s.le_max' _ this },
{ have : s.max' H ∈ l := (finset.mem_sort (≤)).mpr (s.max'_mem H),
obtain ⟨i, i_lt, hi⟩ : ∃ i (hi : i < l.length), l.nth_le i hi = s.max' H :=
list.mem_iff_nth_le.1 this,
rw ← hi,
have : i ≤ l.length - 1 := nat.le_pred_of_lt i_lt,
exact list.nth_le_of_sorted_of_le (s.sort_sorted (≤)) (nat.le_pred_of_lt i_lt) },
end
lemma sorted_last_eq_max' {s : finset α} {h : (s.sort (≤)).length - 1 < (s.sort (≤)).length} :
(s.sort (≤)).nth_le ((s.sort (≤)).length - 1) h =
s.max' (by { rw length_sort at h, exact card_pos.1 (lt_of_le_of_lt bot_le h) }) :=
sorted_last_eq_max'_aux _ _ _
lemma max'_eq_sorted_last {s : finset α} {h : s.nonempty} :
s.max' h = (s.sort (≤)).nth_le ((s.sort (≤)).length - 1)
(by simpa using sub_lt (card_pos.mpr h) zero_lt_one) :=
(sorted_last_eq_max'_aux _ _ _).symm
/-- Given a finset `s` of cardinality `k` in a linear order `α`, the map `order_iso_of_fin s h`
is the increasing bijection between `fin k` and `s` as an `order_iso`. Here, `h` is a proof that
the cardinality of `s` is `k`. We use this instead of an iso `fin s.card ≃o s` to avoid
casting issues in further uses of this function. -/
def order_iso_of_fin (s : finset α) {k : ℕ} (h : s.card = k) : fin k ≃o (s : set α) :=
order_iso.trans (fin.cast ((length_sort (≤)).trans h).symm) $
(s.sort_sorted_lt.nth_le_iso _).trans $ order_iso.set_congr _ _ $
set.ext $ λ x, mem_sort _
/-- Given a finset `s` of cardinality `k` in a linear order `α`, the map `order_emb_of_fin s h` is
the increasing bijection between `fin k` and `s` as an order embedding into `α`. Here, `h` is a
proof that the cardinality of `s` is `k`. We use this instead of an embedding `fin s.card ↪o α` to
avoid casting issues in further uses of this function. -/
def order_emb_of_fin (s : finset α) {k : ℕ} (h : s.card = k) : fin k ↪o α :=
(order_iso_of_fin s h).to_order_embedding.trans (order_embedding.subtype _)
@[simp] lemma coe_order_iso_of_fin_apply (s : finset α) {k : ℕ} (h : s.card = k) (i : fin k) :
↑(order_iso_of_fin s h i) = order_emb_of_fin s h i :=
rfl
lemma order_iso_of_fin_symm_apply (s : finset α) {k : ℕ} (h : s.card = k) (x : (s : set α)) :
↑((s.order_iso_of_fin h).symm x) = (s.sort (≤)).index_of x :=
rfl
lemma order_emb_of_fin_apply (s : finset α) {k : ℕ} (h : s.card = k) (i : fin k) :
s.order_emb_of_fin h i = (s.sort (≤)).nth_le i (by { rw [length_sort, h], exact i.2 }) :=
rfl
@[simp] lemma range_order_emb_of_fin (s : finset α) {k : ℕ} (h : s.card = k) :
set.range (s.order_emb_of_fin h) = s :=
by simp [order_emb_of_fin, set.range_comp coe (s.order_iso_of_fin h)]
/-- The bijection `order_emb_of_fin s h` sends `0` to the minimum of `s`. -/
lemma order_emb_of_fin_zero {s : finset α} {k : ℕ} (h : s.card = k) (hz : 0 < k) :
order_emb_of_fin s h ⟨0, hz⟩ = s.min' (card_pos.mp (h.symm ▸ hz)) :=
by simp only [order_emb_of_fin_apply, subtype.coe_mk, sorted_zero_eq_min']
/-- The bijection `order_emb_of_fin s h` sends `k-1` to the maximum of `s`. -/
lemma order_emb_of_fin_last {s : finset α} {k : ℕ} (h : s.card = k) (hz : 0 < k) :
order_emb_of_fin s h ⟨k-1, buffer.lt_aux_2 hz⟩ = s.max' (card_pos.mp (h.symm ▸ hz)) :=
by simp [order_emb_of_fin_apply, max'_eq_sorted_last, h]
/-- `order_emb_of_fin {a} h` sends any argument to `a`. -/
@[simp] lemma order_emb_of_fin_singleton (a : α) (i : fin 1) :
order_emb_of_fin {a} (card_singleton a) i = a :=
by rw [subsingleton.elim i ⟨0, zero_lt_one⟩, order_emb_of_fin_zero _ zero_lt_one, min'_singleton]
/-- Any increasing map `f` from `fin k` to a finset of cardinality `k` has to coincide with
the increasing bijection `order_emb_of_fin s h`. -/
lemma order_emb_of_fin_unique {s : finset α} {k : ℕ} (h : s.card = k) {f : fin k → α}
(hfs : ∀ x, f x ∈ s) (hmono : strict_mono f) : f = s.order_emb_of_fin h :=
begin
apply fin.strict_mono_unique hmono (s.order_emb_of_fin h).strict_mono,
rw [range_order_emb_of_fin, ← set.image_univ, ← coe_fin_range, ← coe_image, coe_inj],
refine eq_of_subset_of_card_le (λ x hx, _) _,
{ rcases mem_image.1 hx with ⟨x, hx, rfl⟩, exact hfs x },
{ rw [h, card_image_of_injective _ hmono.injective, fin_range_card] }
end
/-- An order embedding `f` from `fin k` to a finset of cardinality `k` has to coincide with
the increasing bijection `order_emb_of_fin s h`. -/
lemma order_emb_of_fin_unique' {s : finset α} {k : ℕ} (h : s.card = k) {f : fin k ↪o α}
(hfs : ∀ x, f x ∈ s) : f = s.order_emb_of_fin h :=
rel_embedding.ext $ function.funext_iff.1 $ order_emb_of_fin_unique h hfs f.strict_mono
/-- Two parametrizations `order_emb_of_fin` of the same set take the same value on `i` and `j` if
and only if `i = j`. Since they can be defined on a priori not defeq types `fin k` and `fin l`
(although necessarily `k = l`), the conclusion is rather written `(i : ℕ) = (j : ℕ)`. -/
@[simp] lemma order_emb_of_fin_eq_order_emb_of_fin_iff
{k l : ℕ} {s : finset α} {i : fin k} {j : fin l} {h : s.card = k} {h' : s.card = l} :
s.order_emb_of_fin h i = s.order_emb_of_fin h' j ↔ (i : ℕ) = (j : ℕ) :=
begin
substs k l,
exact (s.order_emb_of_fin rfl).apply_eq_apply.trans (fin.ext_iff _ _)
end
end sort_linear_order
instance [has_repr α] : has_repr (finset α) := ⟨λ s, repr s.1⟩
end finset
|
d2aed312d742bdf4af98b186be3d0492025024e8 | 367134ba5a65885e863bdc4507601606690974c1 | /src/linear_algebra/free_algebra.lean | f06a57ce703511683cb8401bfb94b9fd92160903 | [
"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 | 1,062 | 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.basis
import algebra.free_algebra
import linear_algebra.finsupp_vector_space
/-!
# Linear algebra properties of `free_algebra R X`
This file provides a `free_monoid X` basis on the `free_algebra R X`, and uses it to show the
dimension of the algebra is the cardinality of `list X`
-/
namespace free_algebra
lemma is_basis_free_monoid (R : Type*) (X : Type*) [comm_ring R] :
is_basis R (λ x : free_monoid X, free_monoid.lift (ι R) x) :=
begin
convert (equiv_monoid_algebra_free_monoid.symm.to_linear_equiv : _ ≃ₗ[R] free_algebra R X)
.is_basis finsupp.is_basis_single_one,
ext x,
rw ←one_smul R (free_monoid.lift _ _),
exact (monoid_algebra.lift_single _ _ _).symm,
end
lemma dim_eq {K : Type*} {X : Type*} [field K] :
vector_space.dim K (free_algebra K X) = cardinal.mk (list X) :=
(cardinal.lift_inj.mp (is_basis_free_monoid K X).mk_eq_dim).symm
end free_algebra
|
65442051b7bec51d240494050136698d8f390941 | ff5230333a701471f46c57e8c115a073ebaaa448 | /tests/lean/run/1562.lean | 3a0f450bc0ff0b6cc73fd2be1642d2a0860975e3 | [
"Apache-2.0"
] | permissive | stanford-cs242/lean | f81721d2b5d00bc175f2e58c57b710d465e6c858 | 7bd861261f4a37326dcf8d7a17f1f1f330e4548c | refs/heads/master | 1,600,957,431,849 | 1,576,465,093,000 | 1,576,465,093,000 | 225,779,423 | 0 | 3 | Apache-2.0 | 1,575,433,936,000 | 1,575,433,935,000 | null | UTF-8 | Lean | false | false | 496 | lean | meta constant term : Type
meta constant smt2.builder.int_const : int -> term
meta constant smt2_state : Type
@[reducible] meta def smt2_m (α : Type) :=
state_t smt2_state tactic α
meta instance tactic_to_smt2_m (α : Type) : has_coe (tactic α) (smt2_m α) :=
⟨ fun tc, ⟨fun s, do res ← tc, return (res, s)⟩ ⟩
meta def reflect_arith_formula : expr → smt2_m term
| `(has_zero.zero) := smt2.builder.int_const <$> tactic.eval_expr int `(has_zero.zero int)
| a := tactic.fail "foo"
|
a3712968acc5370bbc60fdcf764ee5e9e18bc38a | 3dd1b66af77106badae6edb1c4dea91a146ead30 | /tests/lean/run/coe1.lean | 948b9d23cf17517e6c3c1a4be5f0f66fec8dd3bb | [
"Apache-2.0"
] | permissive | silky/lean | 79c20c15c93feef47bb659a2cc139b26f3614642 | df8b88dca2f8da1a422cb618cd476ef5be730546 | refs/heads/master | 1,610,737,587,697 | 1,406,574,534,000 | 1,406,574,534,000 | 22,362,176 | 1 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 587 | lean | variable A : Type.{1}
variable B : Type.{1}
variable f : A → B
coercion f
variable g : B → B → B
variables a1 a2 a3 : A
variables b1 b2 b3 : B
check g a1 b1
set_option pp.coercion true
check g a1 b1
variable eq {A : Type} : A → A → Type.{0}
check eq a1 a2
check eq a1 b1
set_option pp.implicit true
check eq a1 b1
set_option pp.universes true
check eq a1 b1
inductive pair (A : Type) (B: Type) : Type :=
| mk_pair : A → B → pair A B
check mk_pair a1 b2
check B
check mk_pair
set_option pp.unicode false
check mk_pair
set_option pp.implicit false
check mk_pair
check pair |
7316a74f66311e1d8097ed2392177c6c64a2c26a | 6432ea7a083ff6ba21ea17af9ee47b9c371760f7 | /tests/lean/match3.lean | ddfad75da5b04502348820c773d6ac2ab9c9e098 | [
"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 | 2,298 | lean | def f (x : Nat) : Nat :=
match x with
| 30 => 31
| y+1 => y
| 0 => 10
#eval f 20
#eval f 0
#eval f 30
universe u
infix:50 " ≅ " => HEq
theorem ex1 {α : Sort u} {a b : α} (h : a ≅ b) : a = b :=
match α, a, b, h with
| _, _, _, HEq.refl _ => rfl
theorem ex2 {α : Sort u} {a b : α} (h : a ≅ b) : a = b :=
match a, b, h with
| _, _, HEq.refl _ => rfl
theorem ex3 {α : Sort u} {a b : α} (h : a ≅ b) : a = b :=
match b, h with
| _, HEq.refl _ => rfl
theorem ex4 {α β : Sort u} {b : β} {a a' : α} (h₁ : a = a') (h₂ : a' ≅ b) : a ≅ b :=
match β, a', b, h₁, h₂ with
| _, _, _, rfl, HEq.refl _ => HEq.refl _
theorem ex5 {α β : Sort u} {b : β} {a a' : α} (h₁ : a = a') (h₂ : a' ≅ b) : a ≅ b :=
match a', h₁, h₂ with
| _, rfl, h₂ => h₂
theorem ex6 {α β : Sort u} {b : β} {a a' : α} (h₁ : a = a') (h₂ : a' ≅ b) : a ≅ b :=
by {
subst h₁;
assumption
}
theorem ex7 (a : Bool) (p q : Prop) (h₁ : a = true → p) (h₂ : a = false → q) : p ∨ q :=
match (generalizing := false) h:a with
| true => Or.inl $ h₁ h
| false => Or.inr $ h₂ h
theorem ex7' (a : Bool) (p q : Prop) (h₁ : a = true → p) (h₂ : a = false → q) : p ∨ q :=
match a with
| true => Or.inl $ h₁ rfl
| false => Or.inr $ h₂ rfl
def head {α} (xs : List α) (h : xs = [] → False) : α :=
match he:xs with
| [] => by contradiction
| x::_ => x
variable {α : Type u} {p : α → Prop}
theorem ex8 {a1 a2 : {x // p x}} (h : a1.val = a2.val) : a1 = a2 :=
match a1, a2, h with
| ⟨_, _⟩, ⟨_, _⟩, rfl => rfl
universe v
variable {β : α → Type v}
theorem ex9 {p₁ p₂ : Sigma (fun a => β a)} (h₁ : p₁.1 = p₂.1) (h : p₁.2 ≅ p₂.2) : p₁ = p₂ :=
match p₁, p₂, h₁, h with
| ⟨_, _⟩, ⟨_, _⟩, rfl, HEq.refl _ => rfl
inductive F : Nat → Type
| z : {n : Nat} → F (n+1)
| s : {n : Nat} → F n → F (n+1)
def f0 {α : Sort u} (x : F 0) : α :=
nomatch x
def f0' {α : Sort u} (x : F 0) : α :=
nomatch id x
def f1 {α : Sort u} (x : F 0 × Bool) : α :=
nomatch x
def f2 {α : Sort u} (x : Sum (F 0) (F 0)) : α :=
nomatch x
def f3 {α : Sort u} (x : Bool × F 0) : α :=
nomatch x
def f4 (x : Sum (F 0 × Bool) Nat) : Nat :=
match x with
| Sum.inr x => x
#eval f4 $ Sum.inr 100
|
c9162cea97df27bdab7f272f78cff078486cd4ff | 624f6f2ae8b3b1adc5f8f67a365c51d5126be45a | /tests/lean/run/ubscalar.lean | 2a8640f6a86989d3c9c6b4aff91eba72c6004edc | [
"Apache-2.0"
] | permissive | mhuisi/lean4 | 28d35a4febc2e251c7f05492e13f3b05d6f9b7af | dda44bc47f3e5d024508060dac2bcb59fd12e4c0 | refs/heads/master | 1,621,225,489,283 | 1,585,142,689,000 | 1,585,142,689,000 | 250,590,438 | 0 | 2 | Apache-2.0 | 1,602,443,220,000 | 1,585,327,814,000 | C | UTF-8 | Lean | false | false | 315 | lean | structure Foo :=
(flag : Bool := false)
(x : UInt16 := 0)
(z : UInt32 := 0)
(w : UInt64 := 0)
(h : USize := 0)
(xs : List Nat := [])
set_option trace.compiler.ir.init true
def f (s : Foo) : Foo :=
{ x := s.x + 1, .. s }
def g (flag : Bool) : Foo :=
let s : Foo := { x := 10, flag := flag };
f s
|
fc7f744391f4502c4306bd413eacd6164bf18633 | 74addaa0e41490cbaf2abd313a764c96df57b05d | /Mathlib/analysis/convex/topology.lean | 7e3a5faca2f4d355f2be4299ccf1494df05a80e0 | [] | 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 | 6,699 | lean | /-
Copyright (c) 2020 Yury Kudryashov. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Alexander Bentkamp, Yury Kudriashov
-/
import Mathlib.PrePort
import Mathlib.Lean3Lib.init.default
import Mathlib.analysis.convex.basic
import Mathlib.analysis.normed_space.finite_dimension
import Mathlib.topology.path_connected
import Mathlib.PostPort
universes u_1 u_2
namespace Mathlib
/-!
# Topological and metric properties of convex sets
We prove the following facts:
* `convex.interior` : interior of a convex set is convex;
* `convex.closure` : closure of a convex set is convex;
* `set.finite.compact_convex_hull` : convex hull of a finite set is compact;
* `set.finite.is_closed_convex_hull` : convex hull of a finite set is closed;
* `convex_on_dist` : distance to a fixed point is convex on any convex set;
* `convex_hull_ediam`, `convex_hull_diam` : convex hull of a set has the same (e)metric diameter
as the original set;
* `bounded_convex_hull` : convex hull of a set is bounded if and only if the original set
is bounded.
* `bounded_std_simplex`, `is_closed_std_simplex`, `compact_std_simplex`: topological properties
of the standard simplex;
-/
theorem real.convex_iff_is_preconnected {s : set ℝ} : convex s ↔ is_preconnected s :=
iff.trans real.convex_iff_ord_connected (iff.symm is_preconnected_iff_ord_connected)
theorem is_preconnected.convex {s : set ℝ} : is_preconnected s → convex s :=
iff.mpr real.convex_iff_is_preconnected
/-! ### Standard simplex -/
/-- Every vector in `std_simplex ι` has `max`-norm at most `1`. -/
theorem std_simplex_subset_closed_ball {ι : Type u_1} [fintype ι] : std_simplex ι ⊆ metric.closed_ball 0 1 := sorry
/-- `std_simplex ι` is bounded. -/
theorem bounded_std_simplex (ι : Type u_1) [fintype ι] : metric.bounded (std_simplex ι) :=
iff.mpr (metric.bounded_iff_subset_ball 0) (Exists.intro 1 std_simplex_subset_closed_ball)
/-- `std_simplex ι` is closed. -/
theorem is_closed_std_simplex (ι : Type u_1) [fintype ι] : is_closed (std_simplex ι) := sorry
/-- `std_simplex ι` is compact. -/
theorem compact_std_simplex (ι : Type u_1) [fintype ι] : is_compact (std_simplex ι) :=
iff.mpr metric.compact_iff_closed_bounded { left := is_closed_std_simplex ι, right := bounded_std_simplex ι }
/-! ### Topological vector space -/
/-- In a topological vector space, the interior of a convex set is convex. -/
theorem convex.interior {E : Type u_2} [add_comm_group E] [vector_space ℝ E] [topological_space E] [topological_add_group E] [topological_vector_space ℝ E] {s : set E} (hs : convex s) : convex (interior s) := sorry
/-- In a topological vector space, the closure of a convex set is convex. -/
theorem convex.closure {E : Type u_2} [add_comm_group E] [vector_space ℝ E] [topological_space E] [topological_add_group E] [topological_vector_space ℝ E] {s : set E} (hs : convex s) : convex (closure s) := sorry
/-- Convex hull of a finite set is compact. -/
theorem set.finite.compact_convex_hull {E : Type u_2} [add_comm_group E] [vector_space ℝ E] [topological_space E] [topological_add_group E] [topological_vector_space ℝ E] {s : set E} (hs : set.finite s) : is_compact (convex_hull s) := sorry
/-- Convex hull of a finite set is closed. -/
theorem set.finite.is_closed_convex_hull {E : Type u_2} [add_comm_group E] [vector_space ℝ E] [topological_space E] [topological_add_group E] [topological_vector_space ℝ E] [t2_space E] {s : set E} (hs : set.finite s) : is_closed (convex_hull s) :=
is_compact.is_closed (set.finite.compact_convex_hull hs)
/-! ### Normed vector space -/
theorem convex_on_dist {E : Type u_2} [normed_group E] [normed_space ℝ E] (z : E) (s : set E) (hs : convex s) : convex_on s fun (z' : E) => dist z' z := sorry
theorem convex_ball {E : Type u_2} [normed_group E] [normed_space ℝ E] (a : E) (r : ℝ) : convex (metric.ball a r) := sorry
theorem convex_closed_ball {E : Type u_2} [normed_group E] [normed_space ℝ E] (a : E) (r : ℝ) : convex (metric.closed_ball a r) := sorry
/-- Given a point `x` in the convex hull of `s` and a point `y`, there exists a point
of `s` at distance at least `dist x y` from `y`. -/
theorem convex_hull_exists_dist_ge {E : Type u_2} [normed_group E] [normed_space ℝ E] {s : set E} {x : E} (hx : x ∈ convex_hull s) (y : E) : ∃ (x' : E), ∃ (H : x' ∈ s), dist x y ≤ dist x' y :=
convex_on.exists_ge_of_mem_convex_hull (convex_on_dist y (convex_hull s) (convex_convex_hull s)) hx
/-- Given a point `x` in the convex hull of `s` and a point `y` in the convex hull of `t`,
there exist points `x' ∈ s` and `y' ∈ t` at distance at least `dist x y`. -/
theorem convex_hull_exists_dist_ge2 {E : Type u_2} [normed_group E] [normed_space ℝ E] {s : set E} {t : set E} {x : E} {y : E} (hx : x ∈ convex_hull s) (hy : y ∈ convex_hull t) : ∃ (x' : E), ∃ (H : x' ∈ s), ∃ (y' : E), ∃ (H : y' ∈ t), dist x y ≤ dist x' y' := sorry
/-- Emetric diameter of the convex hull of a set `s` equals the emetric diameter of `s. -/
@[simp] theorem convex_hull_ediam {E : Type u_2} [normed_group E] [normed_space ℝ E] (s : set E) : emetric.diam (convex_hull s) = emetric.diam s := sorry
/-- Diameter of the convex hull of a set `s` equals the emetric diameter of `s. -/
@[simp] theorem convex_hull_diam {E : Type u_2} [normed_group E] [normed_space ℝ E] (s : set E) : metric.diam (convex_hull s) = metric.diam s := sorry
/-- Convex hull of `s` is bounded if and only if `s` is bounded. -/
@[simp] theorem bounded_convex_hull {E : Type u_2} [normed_group E] [normed_space ℝ E] {s : set E} : metric.bounded (convex_hull s) ↔ metric.bounded s := sorry
theorem convex.is_path_connected {E : Type u_2} [normed_group E] [normed_space ℝ E] {s : set E} (hconv : convex s) (hne : set.nonempty s) : is_path_connected s := sorry
protected instance normed_space.path_connected {E : Type u_2} [normed_group E] [normed_space ℝ E] : path_connected_space E :=
iff.mpr path_connected_space_iff_univ (convex.is_path_connected convex_univ (Exists.intro 0 trivial))
protected instance normed_space.loc_path_connected {E : Type u_2} [normed_group E] [normed_space ℝ E] : loc_path_connected_space E :=
loc_path_connected_of_bases (fun (x : E) => metric.nhds_basis_ball)
fun (x : E) (r : ℝ) (r_pos : 0 < r) =>
convex.is_path_connected (convex_ball x r)
(eq.mpr
(id
(propext
((fun {α : Type u_2} [_inst_1 : metric_space α] {x : α} {ε : ℝ} (h : 0 < ε) =>
iff_true_intro (metric.nonempty_ball h))
(iff.mpr (iff_true_intro r_pos) True.intro))))
trivial)
|
b5ed8308b7536e9ebb291a01b2f2e463404f629d | 69bc7d0780be17e452d542a93f9599488f1c0c8e | /9-12-2019.lean | 3647a3c14acdae93edf3ee1e235254ca0bbe265d | [] | no_license | joek13/cs2102-notes | b7352285b1d1184fae25594f89f5926d74e6d7b4 | 25bb18788641b20af9cf3c429afe1da9b2f5eafb | refs/heads/master | 1,673,461,162,867 | 1,575,561,090,000 | 1,575,561,090,000 | 207,573,549 | 0 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 2,573 | lean | /-
A proposition is a mathematical assertion, which may be true or false.
Terms make up a proposition in predicate logic.
Terms are references: they *refer* to a "referent."
In lean, terms are evaluated to yield values.
LEAN has four basic types of terms:
- literal terms
- identifiers
- lambda expressions (which are just another kind of literal term)
- application expressions
At its most fundamental level, LEAN is a type checker.
Consider two types S and T.
S→T is a type itself—specifically, the type of functions that transform from S to T.
In other words, they take S as an input and return T as an output.
-/
def greater_than_three: ℕ → bool := λ n : ℕ, n > 3
#check greater_than_three
#eval greater_than_three 2 -- application term: we are applying a function to an argument
#check greater_than_three 2 -- as we can see, the type of the application is the return type of the function we've applied
def plus_one: ℕ → ℕ := λ n: ℕ, n + 1
#check plus_one
#eval plus_one 2
-- All equivalent eval results
#eval (λ n, n+1) 2
#eval 2 + 1
#eval 3
-- Challenge: a function that returns a function
-- The first function takes an argument, and the second function takes an argument which it adds to the argument of the first function
-- In other words, it adds the two arguments
def add: ℕ → ℕ → ℕ := λ a b, a + b
-- alternatively:
def add_alt: ℕ → (ℕ → ℕ) := λ a, (λ b, a + b)
#eval (add 3) 3
#eval (add_alt 3) 2
def add3 := add 3
#eval add3 2
-- Recall: the → operation is right-associative; i.e.
-- ℕ → ℕ → ℕ = ℕ → (ℕ → ℕ)
-- Function application is left-associative; i.e.
-- add 3 2 = (add 3) 2
-- "Partial evaluation"—providing only some arguments to a function, returning a new function which takes the remaining unsupplied arguments
-- e.g.
def add_ten := add 10
#check add_ten -- ℕ → ℕ
#eval add_ten 20
-- let's learn about match statements
-- make a boolean negation function
def neg_bool : bool → bool :=
λ b : bool,
match b with
| tt := ff
| ff := tt
end
-- shorthand for a function which matches:
def neg_bool' : bool → bool
| tt := ff
| ff := tt
def my_xor : bool → bool → bool :=
λ a b : bool,
a ≠ b
def sullivan_xor : bool → bool → bool :=
λ a b,
match a, b with
| tt, tt := ff
| ff, ff := ff
| _, _ := tt
end
#eval my_xor tt ff
#eval my_xor ff ff
#eval my_xor tt tt
def bool_identity := λ x, neg_bool (neg_bool x)
#eval bool_identity tt |
bc6d17d0c5074b333b060835db8cabfb6ac2d469 | 57c233acf9386e610d99ed20ef139c5f97504ba3 | /src/dynamics/minimal.lean | 329215c8d4aa246d9190731ae508b1e6a38da7d3 | [
"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 | 3,964 | lean | /-
Copyright (c) 2021 Yury G. Kudryashov. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yury G. Kudryashov
-/
import topology.algebra.mul_action
import group_theory.group_action.basic
/-!
# Minimal action of a group
In this file we define an action of a monoid `M` on a topological space `α` to be *minimal* if the
`M`-orbit of every point `x : α` is dense. We also provide an additive version of this definition
and prove some basic facts about minimal actions.
## TODO
* Define a minimal set of an action.
## Tags
group action, minimal
-/
open_locale pointwise
/-- An action of an additive monoid `M` on a topological space is called *minimal* if the `M`-orbit
of every point `x : α` is dense. -/
class add_action.is_minimal (M α : Type*) [add_monoid M] [topological_space α] [add_action M α] :
Prop :=
(dense_orbit : ∀ x : α, dense (add_action.orbit M x))
/-- An action of a monoid `M` on a topological space is called *minimal* if the `M`-orbit of every
point `x : α` is dense. -/
@[to_additive]
class mul_action.is_minimal (M α : Type*) [monoid M] [topological_space α] [mul_action M α] :
Prop :=
(dense_orbit : ∀ x : α, dense (mul_action.orbit M x))
open mul_action set
variables (M G : Type*) {α : Type*} [monoid M] [group G] [topological_space α] [mul_action M α]
[mul_action G α]
@[to_additive] lemma mul_action.dense_orbit [is_minimal M α] (x : α) : dense (orbit M x) :=
mul_action.is_minimal.dense_orbit x
@[to_additive] lemma dense_range_smul [is_minimal M α] (x : α) :
dense_range (λ c : M, c • x) :=
mul_action.dense_orbit M x
@[priority 100, to_additive]
instance mul_action.is_minimal_of_pretransitive [is_pretransitive M α] : is_minimal M α :=
⟨λ x, (surjective_smul M x).dense_range⟩
@[to_additive] lemma is_open.exists_smul_mem [is_minimal M α] (x : α) {U : set α} (hUo : is_open U)
(hne : U.nonempty) : ∃ c : M, c • x ∈ U :=
(dense_range_smul M x).exists_mem_open hUo hne
@[to_additive] lemma is_open.Union_preimage_smul [is_minimal M α] {U : set α} (hUo : is_open U)
(hne : U.nonempty) : (⋃ c : M, (•) c ⁻¹' U) = univ :=
Union_eq_univ_iff.2 $ λ x, hUo.exists_smul_mem M x hne
@[to_additive] lemma is_open.Union_smul [is_minimal G α] {U : set α} (hUo : is_open U)
(hne : U.nonempty) : (⋃ g : G, g • U) = univ :=
Union_eq_univ_iff.2 $ λ x, let ⟨g, hg⟩ := hUo.exists_smul_mem G x hne
in ⟨g⁻¹, _, hg, inv_smul_smul _ _⟩
@[to_additive]
lemma is_compact.exists_finite_cover_smul [topological_space G] [is_minimal G α]
[has_continuous_smul G α] {K U : set α} (hK : is_compact K) (hUo : is_open U)
(hne : U.nonempty) :
∃ I : finset G, K ⊆ ⋃ g ∈ I, g • U :=
hK.elim_finite_subcover (λ g : G, g • U) (λ g, hUo.smul _) $
calc K ⊆ univ : subset_univ K
... = ⋃ g : G, g • U : (hUo.Union_smul G hne).symm
@[to_additive]
lemma dense_of_nonempty_smul_invariant [is_minimal M α] {s : set α} (hne : s.nonempty)
(hsmul : ∀ c : M, c • s ⊆ s) : dense s :=
let ⟨x, hx⟩ := hne in (mul_action.dense_orbit M x).mono
(range_subset_iff.2 $ λ c, hsmul c $ ⟨x, hx, rfl⟩)
@[to_additive]
lemma eq_empty_or_univ_of_smul_invariant_closed [is_minimal M α] {s : set α} (hs : is_closed s)
(hsmul : ∀ c : M, c • s ⊆ s) : s = ∅ ∨ s = univ :=
s.eq_empty_or_nonempty.imp_right $ λ hne, hs.closure_eq ▸
(dense_of_nonempty_smul_invariant M hne hsmul).closure_eq
@[to_additive] lemma is_minimal_iff_closed_smul_invariant [topological_space M]
[has_continuous_smul M α] :
is_minimal M α ↔ ∀ s : set α, is_closed s → (∀ c : M, c • s ⊆ s) → s = ∅ ∨ s = univ :=
begin
split, { introsI h s, exact eq_empty_or_univ_of_smul_invariant_closed M },
refine λ H, ⟨λ x, dense_iff_closure_eq.2 $ (H _ _ _).resolve_left _⟩,
exacts [is_closed_closure, λ c, smul_closure_orbit_subset _ _,
(orbit_nonempty _).closure.ne_empty]
end
|
78681fe8855786964f2f7979954692b4636a43fd | 624f6f2ae8b3b1adc5f8f67a365c51d5126be45a | /tests/bench/const_fold.lean | 801f7cf3e9d953240e69f9d67a4328d705cfff61 | [
"Apache-2.0"
] | permissive | mhuisi/lean4 | 28d35a4febc2e251c7f05492e13f3b05d6f9b7af | dda44bc47f3e5d024508060dac2bcb59fd12e4c0 | refs/heads/master | 1,621,225,489,283 | 1,585,142,689,000 | 1,585,142,689,000 | 250,590,438 | 0 | 2 | Apache-2.0 | 1,602,443,220,000 | 1,585,327,814,000 | C | UTF-8 | Lean | false | false | 2,199 | lean | inductive Expr
| Var : Nat → Expr
| Val : Nat → Expr
| Add : Expr → Expr → Expr
| Mul : Expr → Expr → Expr
open Expr Nat
def mkExpr : Nat → Nat → Expr
| 0, v => if v = 0 then Var 1 else Val v
| n+1, v => Add (mkExpr n (v+1)) (mkExpr n (v-1))
def appendAdd : Expr → Expr → Expr
| Add e₁ e₂, e₃ => Add e₁ (appendAdd e₂ e₃)
| e₁, e₂ => Add e₁ e₂
def appendMul : Expr → Expr → Expr
| Mul e₁ e₂, e₃ => Mul e₁ (appendMul e₂ e₃)
| e₁, e₂ => Mul e₁ e₂
def reassoc : Expr → Expr
| Add e₁ e₂ =>
let e₁' := reassoc e₁;
let e₂' := reassoc e₂;
appendAdd e₁' e₂'
| Mul e₁ e₂ =>
let e₁' := reassoc e₁;
let e₂' := reassoc e₂;
appendMul e₁' e₂'
| e => e
def constFolding : Expr → Expr
| Add e₁ e₂ =>
let e₁ := constFolding e₁;
let e₂ := constFolding e₂;
(match e₁, e₂ with
| Val a, Val b => Val (a+b)
| Val a, Add e (Val b) => Add (Val (a+b)) e
| Val a, Add (Val b) e => Add (Val (a+b)) e
| _, _ => Add e₁ e₂)
| Mul e₁ e₂ =>
let e₁ := constFolding e₁;
let e₂ := constFolding e₂;
(match e₁, e₂ with
| Val a, Val b => Val (a*b)
| Val a, Mul e (Val b) => Mul (Val (a*b)) e
| Val a, Mul (Val b) e => Mul (Val (a*b)) e
| _, _ => Mul e₁ e₂)
| e => e
def size : Expr → Nat
| Add l r => size l + size r + 1
| Mul l r => size l + size r + 1
| e => 1
def toStringAux : Expr → String → String
| Var v, r => r ++ "#" ++ toString v
| Val v, r => r ++ toString v
| Add e₁ e₂, r => (toStringAux e₂ ((toStringAux e₁ (r ++ "(")) ++ " + ")) ++ ")"
| Mul e₁ e₂, r => (toStringAux e₂ ((toStringAux e₁ (r ++ "(")) ++ " * ")) ++ ")"
def eval : Expr → Nat
| Var x => 0
| Val v => v
| Add l r => eval l + eval r
| Mul l r => eval l * eval r
unsafe def main : List String → IO UInt32
| [s] => do
let n := s.toNat!;
let e := (mkExpr n 1);
let v₁ := eval e;
let v₂ := eval (constFolding (reassoc e));
IO.println (toString v₁ ++ " " ++ toString v₂);
pure 0
| _ => pure 1
|
aa9fb660ae2c47ec6fc9d1504e3789501c0f4221 | 05f637fa14ac28031cb1ea92086a0f4eb23ff2b1 | /tests/lean/arith3.lean | df8d471bc1e519cacb0cc5922c84fa95df35673a | [
"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 | 174 | lean | import Int.
eval 8 mod 3
eval 8 div 4
eval 7 div 3
eval 7 mod 3
print -8 mod 3
set_option lean::pp::notation false
print -8 mod 3
eval -8 mod 3
eval (-8 div 3)*3 + (-8 mod 3) |
736ca84f274f349d316cc7b8ee09b106a65fe057 | 57c233acf9386e610d99ed20ef139c5f97504ba3 | /src/data/list/range.lean | 5f1f44ab0c912cc90ddf9f07a5ec30e7b03f1f05 | [
"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 | 11,348 | 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, Scott Morrison
-/
import data.list.chain
import data.list.nodup
import data.list.of_fn
import data.list.zip
/-!
# Ranges of naturals as lists
This file shows basic results about `list.iota`, `list.range`, `list.range'` (all defined in
`data.list.defs`) and defines `list.fin_range`.
`fin_range n` is the list of elements of `fin n`.
`iota n = [1, ..., n]` and `range n = [0, ..., n - 1]` are basic list constructions used for
tactics. `range' a b = [a, ..., a + b - 1]` is there to help prove properties about them.
Actual maths should use `list.Ico` instead.
-/
universe u
open nat
namespace list
variables {α : Type u}
@[simp] theorem length_range' : ∀ (s n : ℕ), length (range' s n) = n
| s 0 := rfl
| s (n+1) := congr_arg succ (length_range' _ _)
@[simp] theorem range'_eq_nil {s n : ℕ} : range' s n = [] ↔ n = 0 :=
by rw [← length_eq_zero, length_range']
@[simp] theorem mem_range' {m : ℕ} : ∀ {s n : ℕ}, m ∈ range' s n ↔ s ≤ m ∧ m < s + n
| s 0 := (false_iff _).2 $ λ ⟨H1, H2⟩, not_le_of_lt H2 H1
| s (succ n) :=
have m = s → m < s + n + 1,
from λ e, e ▸ lt_succ_of_le (nat.le_add_right _ _),
have l : m = s ∨ s + 1 ≤ m ↔ s ≤ m,
by simpa only [eq_comm] using (@decidable.le_iff_eq_or_lt _ _ _ s m).symm,
(mem_cons_iff _ _ _).trans $ by simp only [mem_range',
or_and_distrib_left, or_iff_right_of_imp this, l, add_right_comm]; refl
theorem map_add_range' (a) : ∀ s n : ℕ, map ((+) a) (range' s n) = range' (a + s) n
| s 0 := rfl
| s (n+1) := congr_arg (cons _) (map_add_range' (s+1) n)
theorem map_sub_range' (a) :
∀ (s n : ℕ) (h : a ≤ s), map (λ x, x - a) (range' s n) = range' (s - a) n
| s 0 _ := rfl
| s (n+1) h :=
begin
convert congr_arg (cons (s-a)) (map_sub_range' (s+1) n (nat.le_succ_of_le h)),
rw nat.succ_sub h,
refl,
end
theorem chain_succ_range' : ∀ s n : ℕ, chain (λ a b, b = succ a) s (range' (s+1) n)
| s 0 := chain.nil
| s (n+1) := (chain_succ_range' (s+1) n).cons rfl
theorem chain_lt_range' (s n : ℕ) : chain (<) s (range' (s+1) n) :=
(chain_succ_range' s n).imp (λ a b e, e.symm ▸ lt_succ_self _)
theorem pairwise_lt_range' : ∀ s n : ℕ, pairwise (<) (range' s n)
| s 0 := pairwise.nil
| s (n+1) := (chain_iff_pairwise (by exact λ a b c, lt_trans)).1 (chain_lt_range' s n)
theorem nodup_range' (s n : ℕ) : nodup (range' s n) :=
(pairwise_lt_range' s n).imp (λ a b, ne_of_lt)
@[simp] theorem range'_append : ∀ s m n : ℕ, range' s m ++ range' (s+m) n = range' s (n+m)
| s 0 n := rfl
| s (m+1) n := show s :: (range' (s+1) m ++ range' (s+m+1) n) = s :: range' (s+1) (n+m),
by rw [add_right_comm, range'_append]
theorem range'_sublist_right {s m n : ℕ} : range' s m <+ range' s n ↔ m ≤ n :=
⟨λ h, by simpa only [length_range'] using length_le_of_sublist h,
λ h, by rw [← tsub_add_cancel_of_le h, ← range'_append]; apply sublist_append_left⟩
theorem range'_subset_right {s m n : ℕ} : range' s m ⊆ range' s n ↔ m ≤ n :=
⟨λ h, le_of_not_lt $ λ hn, lt_irrefl (s+n) $
(mem_range'.1 $ h $ mem_range'.2 ⟨nat.le_add_right _ _, nat.add_lt_add_left hn s⟩).2,
λ h, (range'_sublist_right.2 h).subset⟩
theorem nth_range' : ∀ s {m n : ℕ}, m < n → nth (range' s n) m = some (s + m)
| s 0 (n+1) _ := rfl
| s (m+1) (n+1) h := (nth_range' (s+1) (lt_of_add_lt_add_right h)).trans $
by rw add_right_comm; refl
@[simp] lemma nth_le_range' {n m} (i) (H : i < (range' n m).length) :
nth_le (range' n m) i H = n + i :=
option.some.inj $ by rw [←nth_le_nth _, nth_range' _ (by simpa using H)]
theorem range'_concat (s n : ℕ) : range' s (n + 1) = range' s n ++ [s+n] :=
by rw add_comm n 1; exact (range'_append s n 1).symm
theorem range_core_range' : ∀ s n : ℕ, range_core s (range' s n) = range' 0 (n + s)
| 0 n := rfl
| (s+1) n := by rw [show n+(s+1) = n+1+s, from add_right_comm n s 1];
exact range_core_range' s (n+1)
theorem range_eq_range' (n : ℕ) : range n = range' 0 n :=
(range_core_range' n 0).trans $ by rw zero_add
theorem range_succ_eq_map (n : ℕ) : range (n + 1) = 0 :: map succ (range n) :=
by rw [range_eq_range', range_eq_range', range',
add_comm, ← map_add_range'];
congr; exact funext one_add
theorem range'_eq_map_range (s n : ℕ) : range' s n = map ((+) s) (range n) :=
by rw [range_eq_range', map_add_range']; refl
@[simp] theorem length_range (n : ℕ) : length (range n) = n :=
by simp only [range_eq_range', length_range']
@[simp] theorem range_eq_nil {n : ℕ} : range n = [] ↔ n = 0 :=
by rw [← length_eq_zero, length_range]
theorem pairwise_lt_range (n : ℕ) : pairwise (<) (range n) :=
by simp only [range_eq_range', pairwise_lt_range']
theorem nodup_range (n : ℕ) : nodup (range n) :=
by simp only [range_eq_range', nodup_range']
theorem range_sublist {m n : ℕ} : range m <+ range n ↔ m ≤ n :=
by simp only [range_eq_range', range'_sublist_right]
theorem range_subset {m n : ℕ} : range m ⊆ range n ↔ m ≤ n :=
by simp only [range_eq_range', range'_subset_right]
@[simp] theorem mem_range {m n : ℕ} : m ∈ range n ↔ m < n :=
by simp only [range_eq_range', mem_range', nat.zero_le, true_and, zero_add]
@[simp] theorem not_mem_range_self {n : ℕ} : n ∉ range n :=
mt mem_range.1 $ lt_irrefl _
@[simp] theorem self_mem_range_succ (n : ℕ) : n ∈ range (n + 1) :=
by simp only [succ_pos', lt_add_iff_pos_right, mem_range]
theorem nth_range {m n : ℕ} (h : m < n) : nth (range n) m = some m :=
by simp only [range_eq_range', nth_range' _ h, zero_add]
theorem range_succ (n : ℕ) : range (succ n) = range n ++ [n] :=
by simp only [range_eq_range', range'_concat, zero_add]
@[simp] lemma range_zero : range 0 = [] := rfl
lemma range_add (a : ℕ) :
∀ b, range (a + b) = range a ++ (range b).map (λ x, a + x)
| 0 := by rw [add_zero, range_zero, map_nil, append_nil]
| (b + 1) := by rw [nat.add_succ, range_succ, range_add b, range_succ,
map_append, map_singleton, append_assoc]
theorem iota_eq_reverse_range' : ∀ n : ℕ, iota n = reverse (range' 1 n)
| 0 := rfl
| (n+1) := by simp only [iota, range'_concat, iota_eq_reverse_range' n,
reverse_append, add_comm]; refl
@[simp] theorem length_iota (n : ℕ) : length (iota n) = n :=
by simp only [iota_eq_reverse_range', length_reverse, length_range']
theorem pairwise_gt_iota (n : ℕ) : pairwise (>) (iota n) :=
by simp only [iota_eq_reverse_range', pairwise_reverse, pairwise_lt_range']
theorem nodup_iota (n : ℕ) : nodup (iota n) :=
by simp only [iota_eq_reverse_range', nodup_reverse, nodup_range']
theorem mem_iota {m n : ℕ} : m ∈ iota n ↔ 1 ≤ m ∧ m ≤ n :=
by simp only [iota_eq_reverse_range', mem_reverse, mem_range', add_comm, lt_succ_iff]
theorem reverse_range' : ∀ s n : ℕ,
reverse (range' s n) = map (λ i, s + n - 1 - i) (range n)
| s 0 := rfl
| s (n+1) := by rw [range'_concat, reverse_append, range_succ_eq_map];
simpa only [show s + (n + 1) - 1 = s + n, from rfl, (∘),
λ a i, show a - 1 - i = a - succ i, from pred_sub _ _,
reverse_singleton, map_cons, tsub_zero, cons_append,
nil_append, eq_self_iff_true, true_and, map_map]
using reverse_range' s n
/-- All elements of `fin n`, from `0` to `n-1`. -/
def fin_range (n : ℕ) : list (fin n) :=
(range n).pmap fin.mk (λ _, list.mem_range.1)
@[simp] lemma fin_range_zero : fin_range 0 = [] := rfl
@[simp] lemma mem_fin_range {n : ℕ} (a : fin n) : a ∈ fin_range n :=
mem_pmap.2 ⟨a.1, mem_range.2 a.2, fin.eta _ _⟩
lemma nodup_fin_range (n : ℕ) : (fin_range n).nodup :=
nodup_pmap (λ _ _ _ _, fin.veq_of_eq) (nodup_range _)
@[simp] lemma length_fin_range (n : ℕ) : (fin_range n).length = n :=
by rw [fin_range, length_pmap, length_range]
@[simp] lemma fin_range_eq_nil {n : ℕ} : fin_range n = [] ↔ n = 0 :=
by rw [← length_eq_zero, length_fin_range]
@[simp] lemma map_coe_fin_range (n : ℕ) : (fin_range n).map coe = list.range n :=
begin
simp_rw [fin_range, map_pmap, fin.mk, subtype.coe_mk, pmap_eq_map],
exact list.map_id _
end
lemma fin_range_succ_eq_map (n : ℕ) :
fin_range n.succ = 0 :: (fin_range n).map fin.succ :=
begin
apply map_injective_iff.mpr subtype.coe_injective,
rw [map_cons, map_coe_fin_range, range_succ_eq_map, fin.coe_zero, ←map_coe_fin_range, map_map,
map_map, function.comp, function.comp],
congr' 2 with x,
exact (fin.coe_succ _).symm,
end
@[to_additive]
theorem prod_range_succ {α : Type u} [monoid α] (f : ℕ → α) (n : ℕ) :
((range n.succ).map f).prod = ((range n).map f).prod * f n :=
by rw [range_succ, map_append, map_singleton,
prod_append, prod_cons, prod_nil, mul_one]
/-- A variant of `prod_range_succ` which pulls off the first
term in the product rather than the last.-/
@[to_additive "A variant of `sum_range_succ` which pulls off the first term in the sum
rather than the last."]
theorem prod_range_succ' {α : Type u} [monoid α] (f : ℕ → α) (n : ℕ) :
((range n.succ).map f).prod = f 0 * ((range n).map (λ i, f (succ i))).prod :=
nat.rec_on n
(show 1 * f 0 = f 0 * 1, by rw [one_mul, mul_one])
(λ _ hd, by rw [list.prod_range_succ, hd, mul_assoc, ←list.prod_range_succ])
@[simp] theorem enum_from_map_fst : ∀ n (l : list α),
map prod.fst (enum_from n l) = range' n l.length
| n [] := rfl
| n (a :: l) := congr_arg (cons _) (enum_from_map_fst _ _)
@[simp] theorem enum_map_fst (l : list α) :
map prod.fst (enum l) = range l.length :=
by simp only [enum, enum_from_map_fst, range_eq_range']
lemma enum_eq_zip_range (l : list α) :
l.enum = (range l.length).zip l :=
zip_of_prod (enum_map_fst _) (enum_map_snd _)
@[simp] lemma unzip_enum_eq_prod (l : list α) :
l.enum.unzip = (range l.length, l) :=
by simp only [enum_eq_zip_range, unzip_zip, length_range]
lemma enum_from_eq_zip_range' (l : list α) {n : ℕ} :
l.enum_from n = (range' n l.length).zip l :=
zip_of_prod (enum_from_map_fst _ _) (enum_from_map_snd _ _)
@[simp] lemma unzip_enum_from_eq_prod (l : list α) {n : ℕ} :
(l.enum_from n).unzip = (range' n l.length, l) :=
by simp only [enum_from_eq_zip_range', unzip_zip, length_range']
@[simp] lemma nth_le_range {n} (i) (H : i < (range n).length) :
nth_le (range n) i H = i :=
option.some.inj $ by rw [← nth_le_nth _, nth_range (by simpa using H)]
@[simp] lemma nth_le_fin_range {n : ℕ} {i : ℕ} (h) :
(fin_range n).nth_le i h = ⟨i, length_fin_range n ▸ h⟩ :=
by simp only [fin_range, nth_le_range, nth_le_pmap, fin.mk_eq_subtype_mk]
theorem of_fn_eq_pmap {α n} {f : fin n → α} :
of_fn f = pmap (λ i hi, f ⟨i, hi⟩) (range n) (λ _, mem_range.1) :=
by rw [pmap_eq_map_attach]; from ext_le (by simp)
(λ i hi1 hi2, by { simp at hi1, simp [nth_le_of_fn f ⟨i, hi1⟩, -subtype.val_eq_coe] })
theorem of_fn_id (n) : of_fn id = fin_range n := of_fn_eq_pmap
theorem of_fn_eq_map {α n} {f : fin n → α} :
of_fn f = (fin_range n).map f :=
by rw [← of_fn_id, map_of_fn, function.right_id]
theorem nodup_of_fn {α n} {f : fin n → α} (hf : function.injective f) :
nodup (of_fn f) :=
by rw of_fn_eq_pmap; from nodup_pmap
(λ _ _ _ _ H, fin.veq_of_eq $ hf H) (nodup_range n)
end list
|
1cdefd5bd4935a105fcc45275c052d3221c709e4 | 29cc89d6158dd3b90acbdbcab4d2c7eb9a7dbf0f | /3.3/33_lecture.lean | 7973201a428e6e736d43f85770d7648027d8808e | [] | no_license | KjellZijlemaker/Logical_Verification_VU | ced0ba95316a30e3c94ba8eebd58ea004fa6f53b | 4578b93bf1615466996157bb333c84122b201d99 | refs/heads/master | 1,585,966,086,108 | 1,549,187,704,000 | 1,549,187,704,000 | 155,690,284 | 0 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 6,813 | lean | /- Lecture 3.3: Programming Semantics — Denotational Semantics -/
import .x33_library
-- enables β-reduced output
set_option pp.beta true
/- Complete lattices -/
class complete_lattice (α : Type) extends partial_order α :=
(Inf : set α → α)
(Inf_le : ∀{s a}, a ∈ s → Inf s ≤ a)
(le_Inf : ∀{s a}, (∀a', a' ∈ s → a ≤ a') → a ≤ Inf s)
notation `⨅` := complete_lattice.Inf
/- Instance for complete lattices: `set α` -/
namespace set
lemma ext {α : Type} {s t : set α} (h : ∀a, a ∈ s ↔ a ∈ t) : s = t :=
begin
funext a,
apply propext,
exact (h a)
end
instance (α : Type) : complete_lattice (set α) :=
{ le := (⊆),
le_refl := assume s a, id,
le_trans := assume s t u hst htu a has, htu $ hst $ has,
le_antisymm := assume s t hst hts,
begin
apply ext,
intro a,
apply iff.intro,
exact assume h, hst h,
exact assume h, hts h
end,
Inf := assume f, {a | ∀s, s ∈ f → a ∈ s},
Inf_le := assume f s hsf a h, begin simp at h, exact h s hsf end,
le_Inf := assume f s h a has t htf, h t htf has }
end set
/- Monotonicity of functions -/
def monotone {α β} [partial_order α] [partial_order β] (f : α → β) :=
∀a₁ a₂, a₁ ≤ a₂ → f a₁ ≤ f a₂
namespace monotone
lemma id {α : Type} [partial_order α] : monotone (λa : α, a) :=
assume a₁ a₂ ha, ha
lemma const {α β : Type} [partial_order α] [partial_order β] (b : β) : monotone (λa : α, b) :=
begin
intros a b c,
apply le_refl
end
lemma union {α β : Type} [partial_order α] (f g : α → set β) (hf : monotone f) (hg : monotone g) :
monotone (λa, f a ∪ g a) :=
begin
intros a₁ a₂ ha b hb,
cases hb,
{ exact or.intro_left _ (hf a₁ a₂ ha hb) },
{ exact or.intro_right _ (hg a₁ a₂ ha hb) },
end
end monotone
/- Least fixpoint -/
namespace complete_lattice
variables {α : Type} [complete_lattice α]
def lfp (f : α → α) : α :=
⨅ {x | f x ≤ x}
lemma lfp_le (f : α → α) (a : α) (h : f a ≤ a) :
lfp f ≤ a :=
Inf_le h
lemma le_lfp (f : α → α) (a : α) (h : ∀a', f a' ≤ a' → a ≤ a') :
a ≤ lfp f :=
le_Inf h
lemma lfp_eq (f : α → α) (hf : monotone f) :
lfp f = f (lfp f) :=
begin
have h : f (lfp f) ≤ lfp f :=
begin
apply le_lfp,
intros a' ha',
apply @le_trans _ _ _ (f a'),
{ apply hf,
apply lfp_le,
assumption },
{ assumption }
end,
apply le_antisymm,
{ apply lfp_le,
apply hf,
assumption },
{ assumption }
end
end complete_lattice
/- Relations -/
namespace lecture
open complete_lattice
def Id (α : Type) : set (α × α) := { x | x.2 = x.1 }
@[simp] lemma mem_Id {α : Type} (a b : α) :
(a, b) ∈ Id α ↔ b = a :=
iff.rfl
def comp {α : Type} (r₁ r₂ : set (α × α)) : set (α × α) :=
{ x | ∃m, (x.1, m) ∈ r₁ ∧ (m, x.2) ∈ r₂ }
infixl ` ◯ ` : 90 := comp
@[simp] lemma mem_comp {α : Type} (r₁ r₂ : set (α × α)) (a b : α) :
(a, b) ∈ r₁ ◯ r₂ ↔ (∃c, (a, c) ∈ r₁ ∧ (c, b) ∈ r₂) :=
iff.rfl
def restrict {α : Type} (r : set (α × α)) (p : α → Prop) : set (α × α) :=
{ x | p x.1 ∧ x ∈ r }
infixl ` ⇃ ` : 90 := restrict
@[simp] lemma mem_restrict {α : Type} (r : set (α × α)) (p : α → Prop) (a b : α) :
(a, b) ∈ r ⇃ p ↔ p a ∧ (a, b) ∈ r :=
by refl
/- We will prove the following two lemmas in the exercise. -/
lemma monotone_comp {α β : Type} [partial_order α] (f g : α → set (β × β))
(hf : monotone f) (hg : monotone g) : monotone (λa, f a ◯ g a) :=
begin
intros a1 a2 asmallerequal,
intro b,
intros fa1,
cases fa1,
simp[comp],
apply exists.intro fa1_w,
apply and.intro,
cases fa1_h,
apply hf a1,
assumption,
assumption,
cases fa1_h,
apply hg a1,
assumption,
assumption
end
lemma monotone_restrict {α β : Type} [partial_order α] (f : α → set (β × β)) (p : β → Prop)
(hf : monotone f) : monotone (λa, f a ⇃ p) :=
begin
intros a1 a2,
intro a1smallera2,
intro b,
intro f1,
cases f1,
simp[restrict],
apply and.intro,
assumption,
apply hf a1,
assumption,
assumption
end
/- Denotational semantics -/
open program
variables {c : state → Prop} {f : state → ℕ} {p p₀ p₁ p₂ : program}
def den : program → set (state × state)
| skip := Id state
| (assign n f) := {x | x.2 = x.1.update n (f x.1)}
| (seq p₁ p₂) := den p₁ ◯ den p₂
| (ite c p₁ p₂) := (den p₁ ⇃ c) ∪ (den p₂ ⇃ (λs, ¬ c s))
| (while c p) := lfp (λW, ((den p ◯ W) ⇃ c) ∪ (Id state ⇃ λs, ¬ c s))
notation `⟦` p `⟧`:= den p
lemma den_while (p : program) (c : state → Prop) :
⟦ while c p ⟧ = ⟦ ite c (p ;; while c p) skip ⟧ :=
begin
apply lfp_eq,
apply monotone.union,
{ apply monotone_restrict,
apply monotone_comp,
{ exact monotone.const _ },
{ exact monotone.id } },
{ exact monotone.const _ }
end
/- Equivalence of denotational and big-step semantics -/
lemma den_of_big_step (p : program) (s t : state) :
(p, s) ⟹ t → (s, t) ∈ ⟦ p ⟧ :=
begin
generalize eq : (p, s) = ps,
intro h,
induction h generalizing eq p s;
cases eq;
-- simplify only if the simplifier solves the goal completely
try { simp [den, *], done },
{ exact ⟨h_t, h_ih_h₁ _ _ rfl, h_ih_h₂ _ _ rfl⟩ },
{ rw [den_while, den],
simp [*],
exact ⟨h_t, h_ih_hp _ _ rfl, h_ih_hw _ _ rfl⟩ },
{ rw [den_while],
simp [den, *] }
end
lemma big_step_of_den :
∀(p : program) (s t : state), (s, t) ∈ ⟦ p ⟧ → (p, s) ⟹ t
| skip s t :=
by simp [den] {contextual := tt}; exact _
| (assign n f) s t :=
by simp [den] {contextual := tt}
| (seq p₁ p₂) s t :=
begin
assume h,
cases h with u hu,
exact big_step.seq u (big_step_of_den p₁ _ _ hu.left) (big_step_of_den p₂ _ _ hu.right)
end
| (ite c p₁ p₂) s t :=
assume h,
match h with
| or.intro_left _ ⟨hs, hst⟩ := big_step.ite_true hs (big_step_of_den p₁ _ _ hst)
| or.intro_right _ ⟨hs, hst⟩ := big_step.ite_false hs (big_step_of_den p₂ _ _ hst)
end
| (while c p) s t :=
begin
have hw : ⟦while c p⟧ ≤ {x | (while c p, x.1) ⟹ x.2},
{ apply lfp_le _ _ _,
intros x hx,
cases x with s t,
simp at hx,
cases hx,
{ cases hx with hs hst,
cases hst with u hu,
apply big_step.while_true u hs,
{ exact big_step_of_den p _ _ hu.left },
{ exact hu.right } },
{ cases hx,
cases hx_right,
apply big_step.while_false hx_left } },
exact assume h, hw h
end
lemma den_eq_bigstep (p : program) (s t : state ) : (s, t) ∈ ⟦ p ⟧ ↔ (p, s) ⟹ t :=
iff.intro
(big_step_of_den p s t)
(den_of_big_step p s t)
end lecture
|
c80be3542a4bd59eb343b371304267487ee89d2c | c777c32c8e484e195053731103c5e52af26a25d1 | /src/data/mv_polynomial/comm_ring.lean | a7ccd331d6314c171c8028f6072c62819877cce6 | [
"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 | 5,627 | 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.mv_polynomial.variables
/-!
# Multivariate polynomials over a ring
> THIS FILE IS SYNCHRONIZED WITH MATHLIB4.
> Any changes to this file require a corresponding PR to mathlib4.
Many results about polynomials hold when the coefficient ring is a commutative semiring.
Some stronger results can be derived when we assume this semiring is a ring.
This file does not define any new operations, but proves some of these stronger results.
## Notation
As in other polynomial files, we typically use the notation:
+ `σ : Type*` (indexing the variables)
+ `R : Type*` `[comm_ring R]` (the coefficients)
+ `s : σ →₀ ℕ`, a function from `σ` to `ℕ` which is zero away from a finite set.
This will give rise to a monomial in `mv_polynomial σ R` which mathematicians might call `X^s`
+ `a : R`
+ `i : σ`, with corresponding monomial `X i`, often denoted `X_i` by mathematicians
+ `p : mv_polynomial σ R`
-/
noncomputable theory
open_locale classical big_operators
open set function finsupp add_monoid_algebra
open_locale big_operators
universes u v
variables {R : Type u} {S : Type v}
namespace mv_polynomial
variables {σ : Type*} {a a' a₁ a₂ : R} {e : ℕ} {n m : σ} {s : σ →₀ ℕ}
section comm_ring
variable [comm_ring R]
variables {p q : mv_polynomial σ R}
instance : comm_ring (mv_polynomial σ R) := add_monoid_algebra.comm_ring
variables (σ a a')
@[simp] lemma C_sub : (C (a - a') : mv_polynomial σ R) = C a - C a' := ring_hom.map_sub _ _ _
@[simp] lemma C_neg : (C (-a) : mv_polynomial σ R) = -C a := ring_hom.map_neg _ _
@[simp] lemma coeff_neg (m : σ →₀ ℕ) (p : mv_polynomial σ R) :
coeff m (-p) = -coeff m p := finsupp.neg_apply _ _
@[simp] lemma coeff_sub (m : σ →₀ ℕ) (p q : mv_polynomial σ R) :
coeff m (p - q) = coeff m p - coeff m q := finsupp.sub_apply _ _ _
@[simp] lemma support_neg : (- p).support = p.support :=
finsupp.support_neg p
lemma support_sub (p q : mv_polynomial σ R) : (p - q).support ⊆ p.support ∪ q.support :=
finsupp.support_sub
variables {σ} (p)
section degrees
lemma degrees_neg (p : mv_polynomial σ R) : (- p).degrees = p.degrees :=
by rw [degrees, support_neg]; refl
lemma degrees_sub (p q : mv_polynomial σ R) :
(p - q).degrees ≤ p.degrees ⊔ q.degrees :=
by simpa only [sub_eq_add_neg] using le_trans (degrees_add p (-q)) (by rw degrees_neg)
end degrees
section vars
variables (p q)
@[simp] lemma vars_neg : (-p).vars = p.vars :=
by simp [vars, degrees_neg]
lemma vars_sub_subset : (p - q).vars ⊆ p.vars ∪ q.vars :=
by convert vars_add_subset p (-q) using 2; simp [sub_eq_add_neg]
variables {p q}
@[simp]
lemma vars_sub_of_disjoint (hpq : disjoint p.vars q.vars) : (p - q).vars = p.vars ∪ q.vars :=
begin
rw ←vars_neg q at hpq,
convert vars_add_of_disjoint hpq using 2;
simp [sub_eq_add_neg]
end
end vars
section eval₂
variables [comm_ring S]
variables (f : R →+* S) (g : σ → S)
@[simp] lemma eval₂_sub : (p - q).eval₂ f g = p.eval₂ f g - q.eval₂ f g :=
(eval₂_hom f g).map_sub _ _
@[simp] lemma eval₂_neg : (-p).eval₂ f g = -(p.eval₂ f g) := (eval₂_hom f g).map_neg _
lemma hom_C (f : mv_polynomial σ ℤ →+* S) (n : ℤ) : f (C n) = (n : S) :=
eq_int_cast (f.comp C) n
/-- A ring homomorphism f : Z[X_1, X_2, ...] → R
is determined by the evaluations f(X_1), f(X_2), ... -/
@[simp] lemma eval₂_hom_X {R : Type u} (c : ℤ →+* S)
(f : mv_polynomial R ℤ →+* S) (x : mv_polynomial R ℤ) :
eval₂ c (f ∘ X) x = f x :=
mv_polynomial.induction_on x
(λ n, by { rw [hom_C f, eval₂_C], exact eq_int_cast c n })
(λ p q hp hq, by { rw [eval₂_add, hp, hq], exact (f.map_add _ _).symm })
(λ p n hp, by { rw [eval₂_mul, eval₂_X, hp], exact (f.map_mul _ _).symm })
/-- Ring homomorphisms out of integer polynomials on a type `σ` are the same as
functions out of the type `σ`, -/
def hom_equiv : (mv_polynomial σ ℤ →+* S) ≃ (σ → S) :=
{ to_fun := λ f, ⇑f ∘ X,
inv_fun := λ f, eval₂_hom (int.cast_ring_hom S) f,
left_inv := λ f, ring_hom.ext $ eval₂_hom_X _ _,
right_inv := λ f, funext $ λ x, by simp only [coe_eval₂_hom, function.comp_app, eval₂_X] }
end eval₂
section degree_of
lemma degree_of_sub_lt {x : σ} {f g : mv_polynomial σ R} {k : ℕ} (h : 0 < k)
(hf : ∀ (m : σ →₀ ℕ), m ∈ f.support → (k ≤ m x) → coeff m f = coeff m g)
(hg : ∀ (m : σ →₀ ℕ), m ∈ g.support → (k ≤ m x) → coeff m f = coeff m g) :
degree_of x (f - g) < k :=
begin
rw degree_of_lt_iff h,
intros m hm,
by_contra hc,
simp only [not_lt] at hc,
have h := support_sub σ f g hm,
simp only [mem_support_iff, ne.def, coeff_sub, sub_eq_zero] at hm,
cases (finset.mem_union).1 h with cf cg,
{ exact hm (hf m cf hc), },
{ exact hm (hg m cg hc), },
end
end degree_of
section total_degree
@[simp] lemma total_degree_neg (a : mv_polynomial σ R) :
(-a).total_degree = a.total_degree :=
by simp only [total_degree, support_neg]
lemma total_degree_sub (a b : mv_polynomial σ R) :
(a - b).total_degree ≤ max a.total_degree b.total_degree :=
calc (a - b).total_degree = (a + -b).total_degree : by rw sub_eq_add_neg
... ≤ max a.total_degree (-b).total_degree : total_degree_add a (-b)
... = max a.total_degree b.total_degree : by rw total_degree_neg
end total_degree
end comm_ring
end mv_polynomial
|
881d0bf0806c77f0c4bb3c380e36251bfa5da321 | 4aca55eba10c989f0d58647d3c2f371e7da44355 | /src/circulant_matrix.lean | 57d83c580448d3ba26f37c730da7037ad426c252 | [] | no_license | eric-wieser/l534zhan-my_project | f9fc75fb5454405e1a2fa9b56cf96c355f6f2336 | febc91e76b7b00fe2517f258ca04d27b7f35fcf3 | refs/heads/master | 1,689,218,910,420 | 1,630,439,440,000 | 1,630,439,440,000 | null | 0 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 6,493 | lean | /-
Copyright (c) 2021 Lu-Ming Zhang. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Author: Lu-Ming Zhang.
-/
import symmetric_matrix
/-!
# Circulant matrices
This file contains the definition and basic results about circulant matrices.
## Main results
- `matrix.cir`: introduce the definition of a circulant matrix generated by a given vector `v : I → α`.
## Implementation notes
`fin.foo` is the `fin n` version of `foo`.
Namely, the index type of the circulant matrices in discussion is `fin n`.
## Tags
cir, matrix
-/
variables {α I R : Type*} [fintype I] {n : ℕ}
namespace matrix
open_locale matrix big_operators
/-- Given the condition `[has_sub I]` and a vector `v : I → α`,
we define `cir v` to be the circulant matrix generated by `v` of type `matrix I I α`. -/
def cir [has_sub I] (v : I → α) : matrix I I α
| i j := v (i - j)
/-- When `I` is an `add_group`, the 0th column of `cir v` is `v`. -/
lemma cir_col_zero_eq [add_group I] (v : I → α) :
(λ i, (cir v) i 0) = v := by ext; simp [cir]
/-- When `I` is an `add_group`, `cir v = cir w ↔ v = w`. -/
lemma cir_ext_iff [add_group I] {v w : I → α} :
cir v = cir w ↔ v = w :=
begin
split,
{ intro h, rw [← cir_col_zero_eq v, ← cir_col_zero_eq w, h] },
{ rintro rfl, refl }
end
lemma fin.cir_ext_iff {v w : fin n → α} :
cir v = cir w ↔ v = w :=
begin
induction n with n ih,
{tidy},
exact cir_ext_iff
end
/-- The sum of two circulant matrices `cir v` and `cir w` is also a circulant matrix `cir (v + w)`. -/
lemma cir_add [has_add α] [has_sub I] (v w : I → α) :
cir v + cir w = cir (v + w) := by ext; simp [cir]
/-- The product of two circulant matrices `cir v` and `cir w` is also a circulant matrix `cir (mul_vec (cir w) v)`. -/
lemma cir_mul [comm_semiring α] [add_comm_group I] (v w : I → α) :
cir v ⬝ cir w = cir (mul_vec (cir w) v) :=
begin
ext i j,
simp [mul_apply, mul_vec, cir, dot_product],
refine fintype.sum_equiv ((equiv.add_left (-i)).trans (equiv.neg _)) _ _ _,
simp [mul_comm],
intro x,
congr' 2; abel
end
lemma fin.cir_mul [comm_semiring α] (v w : fin n → α) :
cir v ⬝ cir w = cir (mul_vec (cir w) v) :=
begin
induction n with n ih, {refl},
exact cir_mul v w,
end
/-- Circulant matrices commute in multiplication under certain condations. -/
lemma cir_mul_comm
[comm_semigroup α] [add_comm_monoid α] [add_comm_group I] (v w : I → α) :
cir v ⬝ cir w = cir w ⬝ cir v :=
begin
ext i j,
simp [mul_apply, cir, mul_comm],
refine fintype.sum_equiv (((equiv.add_right (-i)).trans (equiv.neg _)).trans (equiv.add_right j)) _ _ _,
simp,
intro x,
congr' 2; abel
end
lemma fin.cir_mul_comm
[comm_semigroup α] [add_comm_monoid α] (v w : fin n → α) :
cir v ⬝ cir w = cir w ⬝ cir v :=
begin
induction n with n ih, {refl},
exact cir_mul_comm v w,
end
/-- `k • cir v` is another circluant matrix `cir (k • v)`. -/
lemma smul_cir [has_sub I] [has_scalar R α] {k : R} {v : I → α} :
k • cir v = cir (k • v) := by {ext, simp [cir]}
/-- The identity matrix is a circulant matrix. -/
lemma one_eq_cir [has_zero α] [has_one α] [decidable_eq I] [add_group I]:
(1 : matrix I I α) = cir (λ i, ite (i = 0) 1 0) :=
begin
ext,
simp [cir, one_apply],
congr' 1,
apply propext,
exact sub_eq_zero.symm
end
/-- An alternative version of `one_eq_cir`. -/
lemma one_eq_cir' [has_zero α] [has_one α] [decidable_eq I] [add_group I]:
(1 : matrix I I α) = cir (λ i, (1 : matrix I I α) i 0) := one_eq_cir
lemma fin.one_eq_cir [has_zero α] [has_one α] :
(1 : matrix (fin n) (fin n) α) = cir (λ i, ite (i.1 = 0) 1 0) :=
begin
induction n with n, {dec_trivial},
convert one_eq_cir,
ext, congr' 1,
apply propext,
exact (fin.ext_iff x 0).symm
end
/-- For a one-ary predicate `p`, `p` applied to every entry of `cir v` is true if `p` applied to every entry of `v` is true. -/
lemma pred_cir_entry_of_pred_vec_entry [has_sub I] {p : α → Prop} {v : I → α} :
(∀ k, p (v k)) → ∀ i j, p ((cir v) i j) :=
begin
intros h i j,
simp [cir],
exact h (i - j),
end
/-- Given a set `S`, every entry of `cir v` is in `S` if every entry of `v` is in `S`. -/
lemma cir_entry_in_of_vec_entry_in [has_sub I] {S : set α} {v : I → α} :
(∀ k, v k ∈ S) → ∀ i j, (cir v) i j ∈ S :=
@pred_cir_entry_of_pred_vec_entry α I _ _ S v
/-- The circulant matrix `cir v` is symmetric iff `∀ i j, v (j - i) = v (i - j)`. -/
lemma cir_is_sym_ext_iff' [has_sub I] {v : I → α} :
(cir v).is_sym ↔ ∀ i j, v (j - i) = v (i - j) :=
by simp [is_sym.ext_iff, cir]
/-- The circulant matrix `cir v` is symmetric iff `v (- i) = v i` if `[add_group I]`. -/
lemma cir_is_sym_ext_iff [add_group I] {v : I → α} :
(cir v).is_sym ↔ ∀ i, v (- i) = v i :=
begin
rw [cir_is_sym_ext_iff'],
split,
{ intros h i, convert h i 0; simp },
{ intros h i j, convert h (i - j), simp }
end
lemma fin.cir_is_sym_ext_iff {v : fin n → α} :
(cir v).is_sym ↔ ∀ i, v (- i) = v i :=
begin
induction n with n ih,
{ rw [cir_is_sym_ext_iff'],
split;
{intros h i, have :=i.2, simp* at *} },
convert cir_is_sym_ext_iff,
end
/-- If `cir v` is symmetric, `∀ i j : I, v (j - i) = v (i - j)`. -/
lemma cir_is_sym_apply' [has_sub I] {v : I → α} (h : (cir v).is_sym) (i j : I) :
v (j - i) = v (i - j) := cir_is_sym_ext_iff'.1 h i j
/-- If `cir v` is symmetric, `∀ i j : I, v (- i) = v i`. -/
lemma cir_is_sym_apply [add_group I] {v : I → α} (h : (cir v).is_sym) (i : I) :
v (-i) = v i := cir_is_sym_ext_iff.1 h i
lemma fin.cir_is_sym_apply {v : fin n → α} (h : (cir v).is_sym) (i : fin n) :
v (-i) = v i := fin.cir_is_sym_ext_iff.1 h i
/-- The associated polynomial `(v 0) + (v 1) * X + ... + (v (n-1)) * X ^ (n-1)` to `cir v`.-/
noncomputable def cir_poly [semiring α] (v : fin n → α) : polynomial α :=
∑ i : fin n, polynomial.monomial i (v i)
/-- `cir_perm n` is the cyclic permutation over `fin n`. -/
def cir_perm : Π n, equiv.perm (fin n) := λ n, equiv.symm (fin_rotate n)
/-- `cir_P α n` is the cyclic permutation matrix of order `n` with entries of type `α`. -/
def cir_P (α) [has_zero α] [has_one α] (n : ℕ) :
matrix (fin n) (fin n) α := equiv.perm.to_matrix α (cir_perm n)
end matrix
|
471f7868e43a6b24864e3ae07ad6ad075026f555 | 32025d5c2d6e33ad3b6dd8a3c91e1e838066a7f7 | /stage0/src/Lean/Elab/Tactic/Basic.lean | f8642b8771a29de6a7ae52a2470b2731b7ec6ad3 | [
"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 | 16,054 | 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, Sebastian Ullrich
-/
import Lean.Util.CollectMVars
import Lean.Meta.Tactic.Assumption
import Lean.Meta.Tactic.Intro
import Lean.Meta.Tactic.Clear
import Lean.Meta.Tactic.Revert
import Lean.Meta.Tactic.Subst
import Lean.Elab.Util
import Lean.Elab.Term
import Lean.Elab.Binders
namespace Lean
namespace Elab
open Meta
def goalsToMessageData (goals : List MVarId) : MessageData :=
MessageData.joinSep (goals.map $ MessageData.ofGoal) (Format.line ++ Format.line)
def Term.reportUnsolvedGoals (goals : List MVarId) : TermElabM Unit := do
ref ← getRef;
let tailRef := ref.getTailWithPos.getD ref;
throwErrorAt tailRef $ "unsolved goals" ++ Format.line ++ goalsToMessageData goals
namespace Tactic
structure Context :=
(main : MVarId)
structure State :=
(goals : List MVarId)
instance State.inhabited : Inhabited State := ⟨{ goals := [] }⟩
structure BacktrackableState :=
(env : Environment)
(mctx : MetavarContext)
(goals : List MVarId)
abbrev TacticM := ReaderT Context $ StateRefT State $ TermElabM
abbrev Tactic := Syntax → TacticM Unit
def saveBacktrackableState : TacticM BacktrackableState := do
env ← getEnv;
mctx ← getMCtx;
s ← get;
pure { env := env, mctx := mctx, goals := s.goals }
def BacktrackableState.restore (b : BacktrackableState) : TacticM Unit := do
setEnv b.env;
setMCtx b.mctx;
modify fun s => { s with goals := b.goals }
@[inline] protected def catch {α} (x : TacticM α) (h : Exception → TacticM α) : TacticM α := do
b ← saveBacktrackableState;
catch x (fun ex => do b.restore; h ex)
@[inline] protected def orelse {α} (x y : TacticM α) : TacticM α := do
catch x (fun _ => y)
instance monadExcept : MonadExcept Exception TacticM :=
{ throw := fun _ => throw,
catch := fun _ x h => Tactic.catch x h }
instance hasOrElse {α} : HasOrelse (TacticM α) := ⟨Tactic.orelse⟩
structure SavedState :=
(core : Core.State)
(meta : Meta.State)
(term : Term.State)
(tactic : State)
instance SavedState.inhabited : Inhabited SavedState := ⟨⟨arbitrary _, arbitrary _, arbitrary _, arbitrary _⟩⟩
def saveAllState : TacticM SavedState := do
core ← getThe Core.State;
meta ← getThe Meta.State;
term ← getThe Term.State;
tactic ← get;
pure { core := core, meta := meta, term := term, tactic := tactic }
def SavedState.restore (s : SavedState) : TacticM Unit := do
set s.core; set s.meta; set s.term; set s.tactic
@[inline] def liftTermElabM {α} (x : TermElabM α) : TacticM α :=
liftM x
@[inline] def liftMetaM {α} (x : MetaM α) : TacticM α :=
liftTermElabM $ Term.liftMetaM x
def ensureHasType (expectedType? : Option Expr) (e : Expr) : TacticM Expr := liftTermElabM $ Term.ensureHasType expectedType? e
def reportUnsolvedGoals (goals : List MVarId) : TacticM Unit := liftTermElabM $ Term.reportUnsolvedGoals goals
def resolveGlobalName (n : Name) : TacticM (List (Name × List String)) := liftTermElabM $ Term.resolveGlobalName n
protected def getCurrMacroScope : TacticM MacroScope := do ctx ← readThe Term.Context; pure ctx.currMacroScope
protected def getMainModule : TacticM Name := do env ← getEnv; pure env.mainModule
@[inline] protected def withFreshMacroScope {α} (x : TacticM α) : TacticM α := do
fresh ← modifyGetThe Term.State (fun s => (s.nextMacroScope, { s with nextMacroScope := s.nextMacroScope + 1 }));
adaptTheReader Term.Context (fun ctx => { ctx with currMacroScope := fresh }) x
instance monadQuotation : MonadQuotation TacticM := {
getCurrMacroScope := Tactic.getCurrMacroScope,
getMainModule := Tactic.getMainModule,
withFreshMacroScope := @Tactic.withFreshMacroScope
}
unsafe def mkTacticAttribute : IO (KeyedDeclsAttribute Tactic) :=
mkElabAttribute Tactic `Lean.Elab.Tactic.tacticElabAttribute `builtinTactic `tactic `Lean.Parser.Tactic `Lean.Elab.Tactic.Tactic "tactic"
@[init mkTacticAttribute] constant tacticElabAttribute : KeyedDeclsAttribute Tactic := arbitrary _
private def evalTacticUsing (s : SavedState) (stx : Syntax) : List Tactic → TacticM Unit
| [] => do
let refFmt := stx.prettyPrint;
throwErrorAt stx ("unexpected syntax" ++ MessageData.nest 2 (Format.line ++ refFmt))
| (evalFn::evalFns) => catch (evalFn stx)
(fun ex => match ex with
| Exception.error _ _ =>
match evalFns with
| [] => throw ex
| _ => do s.restore; evalTacticUsing evalFns
| Exception.internal id =>
if id == unsupportedSyntaxExceptionId then do
s.restore; evalTacticUsing evalFns
else
throw ex)
/- Elaborate `x` with `stx` on the macro stack -/
@[inline] def withMacroExpansion {α} (beforeStx afterStx : Syntax) (x : TacticM α) : TacticM α :=
adaptTheReader Term.Context (fun ctx => { ctx with macroStack := { before := beforeStx, after := afterStx } :: ctx.macroStack }) x
@[specialize] private def expandTacticMacroFns (evalTactic : Syntax → TacticM Unit) (stx : Syntax) : List Macro → TacticM Unit
| [] => throwErrorAt stx ("tactic '" ++ toString stx.getKind ++ "' has not been implemented")
| m::ms => do
scp ← getCurrMacroScope;
catch
(do stx' ← adaptMacro m stx; evalTactic stx')
(fun ex => match ms with
| [] => throw ex
| _ => expandTacticMacroFns ms)
@[inline] def expandTacticMacro (evalTactic : Syntax → TacticM Unit) (stx : Syntax) : TacticM Unit := do
env ← getEnv;
let k := stx.getKind;
let table := (macroAttribute.ext.getState env).table;
let macroFns := (table.find? k).getD [];
expandTacticMacroFns evalTactic stx macroFns
partial def evalTactic : Syntax → TacticM Unit
| stx => withRef stx $ withIncRecDepth $ withFreshMacroScope $ match stx with
| Syntax.node k args =>
if k == nullKind then
-- list of tactics separated by `;` => evaluate in order
-- Syntax quotations can return multiple ones
stx.forSepArgsM evalTactic
else do
trace `Elab.step fun _ => stx;
env ← getEnv;
s ← saveAllState;
let table := (tacticElabAttribute.ext.getState env).table;
let k := stx.getKind;
match table.find? k with
| some evalFns => evalTacticUsing s stx evalFns
| none => expandTacticMacro evalTactic stx
| _ => throwError "unexpected command"
/-- Adapt a syntax transformation to a regular tactic evaluator. -/
def adaptExpander (exp : Syntax → TacticM Syntax) : Tactic :=
fun stx => do
stx' ← exp stx;
withMacroExpansion stx stx' $ evalTactic stx'
def getGoals : TacticM (List MVarId) := do s ← get; pure s.goals
def setGoals (gs : List MVarId) : TacticM Unit := modify $ fun s => { s with goals := gs }
def appendGoals (gs : List MVarId) : TacticM Unit := modify $ fun s => { s with goals := s.goals ++ gs }
def pruneSolvedGoals : TacticM Unit := do
gs ← getGoals;
gs ← gs.filterM $ fun g => not <$> isExprMVarAssigned g;
setGoals gs
def getUnsolvedGoals : TacticM (List MVarId) := do pruneSolvedGoals; getGoals
def getMainGoal : TacticM (MVarId × List MVarId) := do (g::gs) ← getUnsolvedGoals | throwError "no goals to be solved"; pure (g, gs)
def getMainTag : TacticM Name := do
(g, _) ← getMainGoal;
mvarDecl ← getMVarDecl g;
pure mvarDecl.userName
def ensureHasNoMVars (e : Expr) : TacticM Unit := do
e ← instantiateMVars e;
pendingMVars ← getMVars e;
liftM $ Term.logUnassignedUsingErrorContext pendingMVars;
when e.hasMVar $ throwError ("tactic failed, resulting expression contains metavariables" ++ indentExpr e)
def withMainMVarContext {α} (x : TacticM α) : TacticM α := do
(mvarId, _) ← getMainGoal;
withMVarContext mvarId x
@[inline] def liftMetaMAtMain {α} (x : MVarId → MetaM α) : TacticM α := do
(g, _) ← getMainGoal;
withMVarContext g $ liftMetaM $ x g
@[inline] def liftMetaTacticAux {α} (tactic : MVarId → MetaM (α × List MVarId)) : TacticM α := do
(g, gs) ← getMainGoal;
withMVarContext g $ do
(a, gs') ← liftMetaM $ tactic g;
setGoals (gs' ++ gs);
pure a
@[inline] def liftMetaTactic (tactic : MVarId → MetaM (List MVarId)) : TacticM Unit :=
liftMetaTacticAux (fun mvarId => do gs ← tactic mvarId; pure ((), gs))
def done : TacticM Unit := do
gs ← getUnsolvedGoals;
unless gs.isEmpty $ reportUnsolvedGoals gs
def focusAux {α} (tactic : TacticM α) : TacticM α := do
(g, gs) ← getMainGoal;
setGoals [g];
a ← tactic;
gs' ← getGoals;
setGoals (gs' ++ gs);
pure a
def focus {α} (tactic : TacticM α) : TacticM α :=
focusAux (do a ← tactic; done; pure a)
/--
Use `parentTag` to tag untagged goals at `newGoals`.
If there are multiple new untagged goals, they are named using `<parentTag>.<newSuffix>_<idx>` where `idx > 0`.
If there is only one new untagged goal, then we just use `parentTag` -/
def tagUntaggedGoals (parentTag : Name) (newSuffix : Name) (newGoals : List MVarId) : TacticM Unit := do
mctx ← getMCtx;
let numAnonymous := newGoals.foldl (fun n g => if mctx.isAnonymousMVar g then n + 1 else n) 0;
modifyMCtx fun mctx =>
let (mctx, _) := newGoals.foldl
(fun (acc : MetavarContext × Nat) (g : MVarId) =>
let (mctx, idx) := acc;
if mctx.isAnonymousMVar g then
if numAnonymous == 1 then
(mctx.renameMVar g parentTag, idx+1)
else
(mctx.renameMVar g (parentTag ++ newSuffix.appendIndexAfter idx), idx+1)
else
acc)
(mctx, 1);
mctx
@[builtinTactic seq] def evalSeq : Tactic :=
fun stx => (stx.getArg 0).forSepArgsM evalTactic
partial def evalChoiceAux (tactics : Array Syntax) : Nat → TacticM Unit
| i =>
if h : i < tactics.size then
let tactic := tactics.get ⟨i, h⟩;
catchInternalId unsupportedSyntaxExceptionId
(evalTactic tactic)
(fun _ => evalChoiceAux (i+1))
else
throwUnsupportedSyntax
@[builtinTactic choice] def evalChoice : Tactic :=
fun stx => evalChoiceAux stx.getArgs 0
@[builtinTactic skip] def evalSkip : Tactic :=
fun stx => pure ()
@[builtinTactic failIfSuccess] def evalFailIfSuccess : Tactic :=
fun stx =>
let tactic := stx.getArg 1;
whenM
(catch
(do evalTactic tactic; pure true)
(fun _ => pure false))
(throwError ("tactic succeeded"))
@[builtinTactic traceState] def evalTraceState : Tactic :=
fun stx => do
gs ← getUnsolvedGoals;
logInfo (goalsToMessageData gs)
@[builtinTactic Lean.Parser.Tactic.assumption] def evalAssumption : Tactic :=
fun stx => liftMetaTactic $ fun mvarId => do Meta.assumption mvarId; pure []
private def introStep (n : Name) : TacticM Unit :=
liftMetaTactic $ fun mvarId => do (_, mvarId) ← Meta.intro mvarId n; pure [mvarId]
@[builtinTactic Lean.Parser.Tactic.intro] def evalIntro : Tactic :=
fun stx => match_syntax stx with
| `(tactic| intro) => liftMetaTactic $ fun mvarId => do (_, mvarId) ← Meta.intro1 mvarId; pure [mvarId]
| `(tactic| intro $h:ident) => introStep h.getId
| `(tactic| intro _) => introStep `_
| `(tactic| intro $pat:term) => do
stxNew ← `(tactic| intro h; match h with | $pat:term => _; clear h);
withMacroExpansion stx stxNew $ evalTactic stxNew
| `(tactic| intro $hs:term*) => do
let h0 := hs.get! 0;
let hs := hs.extract 1 hs.size;
stxNew ← `(tactic| intro $h0:term; intro $hs:term*);
withMacroExpansion stx stxNew $ evalTactic stxNew
| _ => throwUnsupportedSyntax
@[builtinTactic Lean.Parser.Tactic.introMatch] def evalIntroMatch : Tactic :=
fun stx => do
let matchAlts := stx.getArg 1;
stxNew ← liftMacroM $ Term.expandMatchAltsIntoMatchTactic stx matchAlts;
withMacroExpansion stx stxNew $ evalTactic stxNew
private def getIntrosSize : Expr → Nat
| Expr.forallE _ _ b _ => getIntrosSize b + 1
| Expr.letE _ _ _ b _ => getIntrosSize b + 1
| _ => 0
@[builtinTactic «intros»] def evalIntros : Tactic :=
fun stx => match_syntax stx with
| `(tactic| intros) => liftMetaTactic $ fun mvarId => do
type ← Meta.getMVarType mvarId;
type ← instantiateMVars type;
let n := getIntrosSize type;
(_, mvarId) ← Meta.introN mvarId n;
pure [mvarId]
| `(tactic| intros $ids*) => liftMetaTactic $ fun mvarId => do
(_, mvarId) ← Meta.introN mvarId ids.size (ids.map Syntax.getId).toList;
pure [mvarId]
| _ => throwUnsupportedSyntax
def getFVarId (id : Syntax) : TacticM FVarId :=
withRef id do
fvar? ← liftTermElabM $ Term.isLocalIdent? id;
match fvar? with
| some fvar => pure fvar.fvarId!
| none => throwError ("unknown variable '" ++ toString id.getId ++ "'")
def getFVarIds (ids : Array Syntax) : TacticM (Array FVarId) := do
withMainMVarContext $ ids.mapM getFVarId
@[builtinTactic Lean.Parser.Tactic.revert] def evalRevert : Tactic :=
fun stx => match_syntax stx with
| `(tactic| revert $hs*) => do
(g, gs) ← getMainGoal;
fvarIds ← getFVarIds hs;
(_, g) ← liftMetaM $ Meta.revert g fvarIds;
setGoals (g :: gs)
| _ => throwUnsupportedSyntax
/- Sort free variables using an order `x < y` iff `x` was defined after `y` -/
private def sortFVarIds (fvarIds : Array FVarId) : TacticM (Array FVarId) :=
withMainMVarContext do
lctx ← getLCtx;
pure $ fvarIds.qsort fun fvarId₁ fvarId₂ =>
match lctx.find? fvarId₁, lctx.find? fvarId₂ with
| some d₁, some d₂ => d₁.index > d₂.index
| some _, none => false
| none, some _ => true
| none, none => Name.quickLt fvarId₁ fvarId₂
@[builtinTactic Lean.Parser.Tactic.clear] def evalClear : Tactic :=
fun stx => match_syntax stx with
| `(tactic| clear $hs*) => do
fvarIds ← getFVarIds hs;
fvarIds ← sortFVarIds fvarIds;
fvarIds.forM fun fvarId => do
(g, gs) ← getMainGoal;
withMVarContext g do
g ← liftMetaM $ clear g fvarId;
setGoals (g :: gs)
| _ => throwUnsupportedSyntax
def forEachVar (hs : Array Syntax) (tac : MVarId → FVarId → MetaM MVarId) : TacticM Unit :=
hs.forM $ fun h => do
(g, gs) ← getMainGoal;
withMVarContext g do
fvarId ← getFVarId h;
g ← liftMetaM $ tac g fvarId;
setGoals (g :: gs)
@[builtinTactic Lean.Parser.Tactic.subst] def evalSubst : Tactic :=
fun stx => match_syntax stx with
| `(tactic| subst $hs*) => forEachVar hs Meta.subst
| _ => throwUnsupportedSyntax
@[builtinTactic paren] def evalParen : Tactic :=
fun stx => evalTactic (stx.getArg 1)
@[builtinTactic nestedTacticBlockCurly] def evalNestedTacticBlock : Tactic :=
fun stx => focus (evalTactic (stx.getArg 1))
/--
First method searches for a metavariable `g` s.t. `tag` is a suffix of its name.
If none is found, then it searches for a metavariable `g` s.t. `tag` is a prefix of its name. -/
private def findTag? (gs : List MVarId) (tag : Name) : TacticM (Option MVarId) := do
g? ← gs.findM? (fun g => do mvarDecl ← getMVarDecl g; pure $ tag.isSuffixOf mvarDecl.userName);
match g? with
| some g => pure g
| none => gs.findM? (fun g => do mvarDecl ← getMVarDecl g; pure $ tag.isPrefixOf mvarDecl.userName)
@[builtinTactic «case»] def evalCase : Tactic :=
fun stx => match_syntax stx with
| `(tactic| case $tag $tac) => do
let tag := tag.getId;
gs ← getUnsolvedGoals;
some g ← findTag? gs tag | throwError "tag not found";
let gs := gs.erase g;
setGoals [g];
evalTactic tac;
done;
setGoals gs
| _ => throwUnsupportedSyntax
@[builtinTactic «orelse»] def evalOrelse : Tactic :=
fun stx => match_syntax stx with
| `(tactic| $tac1 <|> $tac2) => evalTactic tac1 <|> evalTactic tac2
| _ => throwUnsupportedSyntax
@[init] private def regTraceClasses : IO Unit := do
registerTraceClass `Elab.tactic;
pure ()
@[inline] def TacticM.run {α} (x : TacticM α) (ctx : Context) (s : State) : TermElabM (α × State) :=
(x.run ctx).run s
@[inline] def TacticM.run' {α} (x : TacticM α) (ctx : Context) (s : State) : TermElabM α :=
Prod.fst <$> x.run ctx s
end Tactic
end Elab
end Lean
|
1b157b007c5560432c01483311714e926ab04b26 | aa3f8992ef7806974bc1ffd468baa0c79f4d6643 | /library/standard/logic/connectives/eq.lean | 56bd90c9b65ab1f5078b73dec38c0d85f202a188 | [
"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 | 3,058 | lean | ----------------------------------------------------------------------------------------------------
-- Copyright (c) 2014 Microsoft Corporation. All rights reserved.
-- Released under Apache 2.0 license as described in the file LICENSE.
-- Authors: Leonardo de Moura, Jeremy Avigad
----------------------------------------------------------------------------------------------------
import .basic
-- eq
-- --
inductive eq {A : Type} (a : A) : A → Prop :=
| refl : eq a a
infix `=`:50 := eq
theorem subst {A : Type} {a b : A} {P : A → Prop} (H1 : a = b) (H2 : P a) : P b :=
eq_rec H2 H1
theorem trans {A : Type} {a b c : A} (H1 : a = b) (H2 : b = c) : a = c :=
subst H2 H1
calc_subst subst
calc_refl refl
calc_trans trans
theorem true_ne_false : ¬true = false :=
assume H : true = false,
subst H trivial
theorem symm {A : Type} {a b : A} (H : a = b) : b = a :=
subst H (refl a)
namespace eq_proofs
postfix `⁻¹`:100 := symm
infixr `⬝`:75 := trans
infixr `▸`:75 := subst
end
using eq_proofs
theorem congr1 {A : Type} {B : A → Type} {f g : Π x, B x} (H : f = g) (a : A) : f a = g a :=
H ▸ refl (f a)
theorem congr2 {A : Type} {B : Type} {a b : A} (f : A → B) (H : a = b) : f a = f b :=
H ▸ refl (f a)
theorem congr {A : Type} {B : Type} {f g : A → B} {a b : A} (H1 : f = g) (H2 : a = b) : f a = g b :=
H1 ▸ H2 ▸ refl (f a)
theorem equal_f {A : Type} {B : A → Type} {f g : Π x, B x} (H : f = g) : ∀x, f x = g x :=
take x, congr1 H x
theorem not_congr {a b : Prop} (H : a = b) : (¬a) = (¬b) :=
congr2 not H
theorem eqmp {a b : Prop} (H1 : a = b) (H2 : a) : b :=
H1 ▸ H2
infixl `<|`:100 := eqmp
infixl `◂`:100 := eqmp
theorem eqmpr {a b : Prop} (H1 : a = b) (H2 : b) : a :=
H1⁻¹ ◂ H2
theorem eqt_elim {a : Prop} (H : a = true) : a :=
H⁻¹ ◂ trivial
theorem eqf_elim {a : Prop} (H : a = false) : ¬a :=
assume Ha : a, H ◂ Ha
theorem imp_trans {a b c : Prop} (H1 : a → b) (H2 : b → c) : a → c :=
assume Ha, H2 (H1 Ha)
theorem imp_eq_trans {a b c : Prop} (H1 : a → b) (H2 : b = c) : a → c :=
assume Ha, H2 ◂ (H1 Ha)
theorem eq_imp_trans {a b c : Prop} (H1 : a = b) (H2 : b → c) : a → c :=
assume Ha, H2 (H1 ◂ Ha)
theorem eq_to_iff {a b : Prop} (H : a = b) : a ↔ b :=
iff_intro (λ Ha, H ▸ Ha) (λ Hb, H⁻¹ ▸ Hb)
-- ne
-- --
definition ne [inline] {A : Type} (a b : A) := ¬(a = b)
infix `≠`:50 := ne
theorem ne_intro {A : Type} {a b : A} (H : a = b → false) : a ≠ b := H
theorem ne_elim {A : Type} {a b : A} (H1 : a ≠ b) (H2 : a = b) : false := H1 H2
theorem a_neq_a_elim {A : Type} {a : A} (H : a ≠ a) : false := H (refl a)
theorem ne_irrefl {A : Type} {a : A} (H : a ≠ a) : false := H (refl a)
theorem ne_symm {A : Type} {a b : A} (H : a ≠ b) : b ≠ a :=
assume H1 : b = a, H (H1⁻¹)
theorem eq_ne_trans {A : Type} {a b c : A} (H1 : a = b) (H2 : b ≠ c) : a ≠ c := H1⁻¹ ▸ H2
theorem ne_eq_trans {A : Type} {a b c : A} (H1 : a ≠ b) (H2 : b = c) : a ≠ c := H2 ▸ H1
calc_trans eq_ne_trans
calc_trans ne_eq_trans |
058c5c5dc22c8e1bc7fb98cae28f22c0f94241aa | 618003631150032a5676f229d13a079ac875ff77 | /src/analysis/convex/cone.lean | 05ecbb09fcb107ac37ee54b3f5acc0d1a14a111f | [
"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 | 18,783 | lean | /-
Copyright (c) 2020 Yury Kudryashov All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yury Kudryashov
-/
import linear_algebra.linear_pmap
import analysis.convex.basic
import order.zorn
/-!
# Convex cones
In a vector space `E` over `ℝ`, we define a convex cone as a subset `s` such that
`a • x + b • y ∈ s` whenever `x, y ∈ s` and `a, b > 0`. We prove that convex cones form
a `complete_lattice`, and define their images (`convex_cone.map`) and preimages
(`convex_cone.comap`) under linear maps.
We also define `convex.to_cone` to be the minimal cone that includes a given convex set.
## Main statements
We prove two extension theorems:
* `riesz_extension`:
[M. Riesz extension theorem](https://en.wikipedia.org/wiki/M._Riesz_extension_theorem) says that
if `s` is a convex cone in a real vector space `E`, `p` is a submodule of `E`
such that `p + s = E`, and `f` is a linear function `p → ℝ` which is
nonnegative on `p ∩ s`, then there exists a globally defined linear function
`g : E → ℝ` that agrees with `f` on `p`, and is nonnegative on `s`.
* `exists_extension_of_le_sublinear`:
Hahn-Banach theorem: if `N : E → ℝ` is a sublinear map, `f` is a linear map
defined on a subspace of `E`, and `f x ≤ N x` for all `x` in the domain of `f`,
then `f` can be extended to the whole space to a linear map `g` such that `g x ≤ N x`
for all `x`
## Implementation notes
While `convex` is a predicate on sets, `convex_cone` is a bundled convex cone.
## TODO
* Define predicates `blunt`, `pointed`, `flat`, `sailent`, see
[Wikipedia](https://en.wikipedia.org/wiki/Convex_cone#Blunt,_pointed,_flat,_salient,_and_proper_cones)
* Define the dual cone.
-/
universes u v
open set linear_map
open_locale classical
variables (E : Type*) [add_comm_group E] [vector_space ℝ E]
{F : Type*} [add_comm_group F] [vector_space ℝ F]
{G : Type*} [add_comm_group G] [vector_space ℝ G]
/-!
### Definition of `convex_cone` and basic properties
-/
/-- A convex cone is a subset `s` of a vector space over `ℝ` such that `a • x + b • y ∈ s`
whenever `a, b > 0` and `x, y ∈ s`. -/
structure convex_cone :=
(carrier : set E)
(smul_mem' : ∀ ⦃c : ℝ⦄, 0 < c → ∀ ⦃x : E⦄, x ∈ carrier → c • x ∈ carrier)
(add_mem' : ∀ ⦃x⦄ (hx : x ∈ carrier) ⦃y⦄ (hy : y ∈ carrier), x + y ∈ carrier)
variable {E}
namespace convex_cone
variables (S T : convex_cone E)
instance : has_coe (convex_cone E) (set E) := ⟨convex_cone.carrier⟩
instance : has_mem E (convex_cone E) := ⟨λ m S, m ∈ S.carrier⟩
instance : has_le (convex_cone E) := ⟨λ S T, S.carrier ⊆ T.carrier⟩
instance : has_lt (convex_cone E) := ⟨λ S T, S.carrier ⊂ T.carrier⟩
@[simp, norm_cast] lemma mem_coe {x : E} : x ∈ (S : set E) ↔ x ∈ S := iff.rfl
@[simp] lemma mem_mk {s : set E} {h₁ h₂ x} : x ∈ mk s h₁ h₂ ↔ x ∈ s := iff.rfl
/-- Two `convex_cone`s are equal if the underlying subsets are equal. -/
theorem ext' {S T : convex_cone E} (h : (S : set E) = T) : S = T :=
by cases S; cases T; congr'
/-- Two `convex_cone`s are equal if and only if the underlying subsets are equal. -/
protected theorem ext'_iff {S T : convex_cone E} : (S : set E) = T ↔ S = T :=
⟨ext', λ h, h ▸ rfl⟩
/-- Two `convex_cone`s are equal if they have the same elements. -/
@[ext] theorem ext {S T : convex_cone E} (h : ∀ x, x ∈ S ↔ x ∈ T) : S = T := ext' $ set.ext h
lemma smul_mem {c : ℝ} {x : E} (hc : 0 < c) (hx : x ∈ S) : c • x ∈ S := S.smul_mem' hc hx
lemma add_mem ⦃x⦄ (hx : x ∈ S) ⦃y⦄ (hy : y ∈ S) : x + y ∈ S := S.add_mem' hx hy
lemma smul_mem_iff {c : ℝ} (hc : 0 < c) {x : E} :
c • x ∈ S ↔ x ∈ S :=
⟨λ h, by simpa only [smul_smul, inv_mul_cancel (ne_of_gt hc), one_smul]
using S.smul_mem (inv_pos.2 hc) h, λ h, S.smul_mem hc h⟩
lemma convex : convex (S : set E) :=
convex_iff_forall_pos.2 $ λ x y hx hy a b ha hb hab,
S.add_mem (S.smul_mem ha hx) (S.smul_mem hb hy)
instance : has_inf (convex_cone E) :=
⟨λ S T, ⟨S ∩ T, λ c hc x hx, ⟨S.smul_mem hc hx.1, T.smul_mem hc hx.2⟩,
λ x hx y hy, ⟨S.add_mem hx.1 hy.1, T.add_mem hx.2 hy.2⟩⟩⟩
lemma coe_inf : ((S ⊓ T : convex_cone E) : set E) = ↑S ∩ ↑T := rfl
lemma mem_inf {x} : x ∈ S ⊓ T ↔ x ∈ S ∧ x ∈ T := iff.rfl
instance : has_Inf (convex_cone E) :=
⟨λ S, ⟨⋂ s ∈ S, ↑s,
λ c hc x hx, mem_bInter $ λ s hs, s.smul_mem hc $ by apply mem_bInter_iff.1 hx s hs,
λ x hx y hy, mem_bInter $ λ s hs, s.add_mem (by apply mem_bInter_iff.1 hx s hs)
(by apply mem_bInter_iff.1 hy s hs)⟩⟩
lemma mem_Inf {x : E} {S : set (convex_cone E)} : x ∈ Inf S ↔ ∀ s ∈ S, x ∈ s := mem_bInter_iff
instance : has_bot (convex_cone E) := ⟨⟨∅, λ c hc x, false.elim, λ x, false.elim⟩⟩
lemma mem_bot (x : E) : x ∈ (⊥ : convex_cone E) = false := rfl
instance : has_top (convex_cone E) := ⟨⟨univ, λ c hc x hx, mem_univ _, λ x hx y hy, mem_univ _⟩⟩
lemma mem_top (x : E) : x ∈ (⊤ : convex_cone E) := mem_univ x
instance : complete_lattice (convex_cone E) :=
{ le := (≤),
lt := (<),
bot := (⊥),
bot_le := λ S x, false.elim,
top := (⊤),
le_top := λ S x hx, mem_top x,
inf := (⊓),
Inf := has_Inf.Inf,
sup := λ a b, Inf {x | a ≤ x ∧ b ≤ x},
Sup := λ s, Inf {T | ∀ S ∈ s, S ≤ T},
le_sup_left := λ a b, λ x hx, mem_Inf.2 $ λ s hs, hs.1 hx,
le_sup_right := λ a b, λ x hx, mem_Inf.2 $ λ s hs, hs.2 hx,
sup_le := λ a b c ha hb x hx, mem_Inf.1 hx c ⟨ha, hb⟩,
le_inf := λ a b c ha hb x hx, ⟨ha hx, hb hx⟩,
inf_le_left := λ a b x, and.left,
inf_le_right := λ a b x, and.right,
le_Sup := λ s p hs x hx, mem_Inf.2 $ λ t ht, ht p hs hx,
Sup_le := λ s p hs x hx, mem_Inf.1 hx p hs,
le_Inf := λ s a ha x hx, mem_Inf.2 $ λ t ht, ha t ht hx,
Inf_le := λ s a ha x hx, mem_Inf.1 hx _ ha,
.. partial_order.lift (coe : convex_cone E → set E) (λ a b, ext') (by apply_instance) }
instance : inhabited (convex_cone E) := ⟨⊥⟩
/-- The image of a convex cone under an `ℝ`-linear map is a convex cone. -/
def map (f : E →ₗ[ℝ] F) (S : convex_cone E) : convex_cone F :=
{ carrier := f '' S,
smul_mem' := λ c hc y ⟨x, hx, hy⟩, hy ▸ f.map_smul c x ▸ mem_image_of_mem f (S.smul_mem hc hx),
add_mem' := λ y₁ ⟨x₁, hx₁, hy₁⟩ y₂ ⟨x₂, hx₂, hy₂⟩, hy₁ ▸ hy₂ ▸ f.map_add x₁ x₂ ▸
mem_image_of_mem f (S.add_mem hx₁ hx₂) }
lemma map_map (g : F →ₗ[ℝ] G) (f : E →ₗ[ℝ] F) (S : convex_cone E) :
(S.map f).map g = S.map (g.comp f) :=
ext' $ image_image g f S
@[simp] lemma map_id : S.map linear_map.id = S := ext' $ image_id _
/-- The preimage of a convex cone under an `ℝ`-linear map is a convex cone. -/
def comap (f : E →ₗ[ℝ] F) (S : convex_cone F) : convex_cone E :=
{ carrier := f ⁻¹' S,
smul_mem' := λ c hc x hx, by { rw [mem_preimage, f.map_smul c], exact S.smul_mem hc hx },
add_mem' := λ x hx y hy, by { rw [mem_preimage, f.map_add], exact S.add_mem hx hy } }
@[simp] lemma comap_id : S.comap linear_map.id = S := ext' preimage_id
lemma comap_comap (g : F →ₗ[ℝ] G) (f : E →ₗ[ℝ] F) (S : convex_cone G) :
(S.comap g).comap f = S.comap (g.comp f) :=
ext' $ preimage_comp.symm
@[simp] lemma mem_comap {f : E →ₗ[ℝ] F} {S : convex_cone F} {x : E} :
x ∈ S.comap f ↔ f x ∈ S := iff.rfl
end convex_cone
/-!
### Cone over a convex set
-/
namespace convex
local attribute [instance] smul_set
/-- The set of vectors proportional to those in a convex set forms a convex cone. -/
def to_cone (s : set E) (hs : convex s) : convex_cone E :=
begin
apply convex_cone.mk (⋃ c > 0, (c : ℝ) • s);
simp only [mem_Union, mem_smul_set],
{ rintros c c_pos _ ⟨c', c'_pos, x, hx, rfl⟩,
exact ⟨c * c', mul_pos c_pos c'_pos, x, hx, smul_smul _ _ _⟩ },
{ rintros _ ⟨cx, cx_pos, x, hx, rfl⟩ _ ⟨cy, cy_pos, y, hy, rfl⟩,
have : 0 < cx + cy, from add_pos cx_pos cy_pos,
refine ⟨_, this, _, convex_iff_div.1 hs hx hy (le_of_lt cx_pos) (le_of_lt cy_pos) this, _⟩,
simp only [smul_add, smul_smul, mul_div_assoc', mul_div_cancel_left _ (ne_of_gt this)] }
end
variables {s : set E} (hs : convex s) {x : E}
@[nolint ge_or_gt]
lemma mem_to_cone : x ∈ hs.to_cone s ↔ ∃ (c > 0) (y ∈ s), (c : ℝ) • y = x :=
by simp only [to_cone, convex_cone.mem_mk, mem_Union, mem_smul_set, eq_comm]
@[nolint ge_or_gt]
lemma mem_to_cone' : x ∈ hs.to_cone s ↔ ∃ c > 0, (c : ℝ) • x ∈ s :=
begin
refine hs.mem_to_cone.trans ⟨_, _⟩,
{ rintros ⟨c, hc, y, hy, rfl⟩,
exact ⟨c⁻¹, inv_pos.2 hc, by rwa [smul_smul, inv_mul_cancel (ne_of_gt hc), one_smul]⟩ },
{ rintros ⟨c, hc, hcx⟩,
exact ⟨c⁻¹, inv_pos.2 hc, _, hcx, by rw [smul_smul, inv_mul_cancel (ne_of_gt hc), one_smul]⟩ }
end
lemma subset_to_cone : s ⊆ hs.to_cone s :=
λ x hx, hs.mem_to_cone'.2 ⟨1, zero_lt_one, by rwa one_smul⟩
/-- `hs.to_cone s` is the least cone that includes `s`. -/
lemma to_cone_is_least : is_least { t : convex_cone E | s ⊆ t } (hs.to_cone s) :=
begin
refine ⟨hs.subset_to_cone, λ t ht x hx, _⟩,
rcases hs.mem_to_cone.1 hx with ⟨c, hc, y, hy, rfl⟩,
exact t.smul_mem hc (ht hy)
end
lemma to_cone_eq_Inf : hs.to_cone s = Inf { t : convex_cone E | s ⊆ t } :=
hs.to_cone_is_least.is_glb.Inf_eq.symm
end convex
lemma convex_hull_to_cone_is_least (s : set E) :
is_least {t : convex_cone E | s ⊆ t} ((convex_convex_hull s).to_cone _) :=
begin
convert (convex_convex_hull s).to_cone_is_least,
ext t,
exact ⟨λ h, convex_hull_min h t.convex, λ h, subset.trans (subset_convex_hull s) h⟩
end
lemma convex_hull_to_cone_eq_Inf (s : set E) :
(convex_convex_hull s).to_cone _ = Inf {t : convex_cone E | s ⊆ t} :=
(convex_hull_to_cone_is_least s).is_glb.Inf_eq.symm
/-!
### M. Riesz extension theorem
Given a convex cone `s` in a vector space `E`, a submodule `p`, and a linear `f : p → ℝ`, assume
that `f` is nonnegative on `p ∩ s` and `p + s = E`. Then there exists a globally defined linear
function `g : E → ℝ` that agrees with `f` on `p`, and is nonnegative on `s`.
We prove this theorem using Zorn's lemma. `riesz_extension.step` is the main part of the proof.
It says that if the domain `p` of `f` is not the whole space, then `f` can be extended to a larger
subspace `p ⊔ span ℝ {y}` without breaking the non-negativity condition.
In `riesz_extension.exists_top` we use Zorn's lemma to prove that we can extend `f`
to a linear map `g` on `⊤ : submodule E`. Mathematically this is the same as a linear map on `E`
but in Lean `⊤ : submodule E` is isomorphic but is not equal to `E`. In `riesz_extension`
we use this isomorphism to prove the theorem.
-/
namespace riesz_extension
open submodule
variables (s : convex_cone E) (f : linear_pmap ℝ E ℝ)
/-- Induction step in M. Riesz extension theorem. Given a convex cone `s` in a vector space `E`,
a partially defined linear map `f : f.domain → ℝ`, assume that `f` is nonnegative on `f.domain ∩ p`
and `p + s = E`. If `f` is not defined on the whole `E`, then we can extend it to a larger
submodule without breaking the non-negativity condition. -/
lemma step (nonneg : ∀ x : f.domain, (x : E) ∈ s → 0 ≤ f x)
(dense : ∀ y, ∃ x : f.domain, (x : E) + y ∈ s) (hdom : f.domain ≠ ⊤) :
∃ g, f < g ∧ ∀ x : g.domain, (x : E) ∈ s → 0 ≤ g x :=
begin
rcases exists_of_lt (lt_top_iff_ne_top.2 hdom) with ⟨y, hy', hy⟩, clear hy',
obtain ⟨c, le_c, c_le⟩ :
∃ c, (∀ x : f.domain, -(x:E) - y ∈ s → f x ≤ c) ∧ (∀ x : f.domain, (x:E) + y ∈ s → c ≤ f x),
{ set Sp := f '' {x : f.domain | (x:E) + y ∈ s},
set Sn := f '' {x : f.domain | -(x:E) - y ∈ s},
suffices : (upper_bounds Sn ∩ lower_bounds Sp).nonempty,
by simpa only [set.nonempty, upper_bounds, lower_bounds, ball_image_iff] using this,
refine exists_between_of_forall_le (nonempty.image f _) (nonempty.image f (dense y)) _,
{ rcases (dense (-y)) with ⟨x, hx⟩,
rw [← neg_neg x, coe_neg] at hx,
exact ⟨_, hx⟩ },
rintros a ⟨xn, hxn, rfl⟩ b ⟨xp, hxp, rfl⟩,
have := s.add_mem hxp hxn,
rw [add_assoc, add_sub_cancel'_right, ← sub_eq_add_neg, ← coe_sub] at this,
replace := nonneg _ this,
rwa [f.map_sub, sub_nonneg] at this },
have hy' : y ≠ 0, from λ hy₀, hy (hy₀.symm ▸ zero_mem _),
refine ⟨f.sup (linear_pmap.mk_span_singleton y (-c) hy') _, _, _⟩,
{ refine linear_pmap.sup_h_of_disjoint _ _ (disjoint_span_singleton.2 _),
exact (λ h, (hy h).elim) },
{ refine lt_iff_le_not_le.2 ⟨f.left_le_sup _ _, λ H, _⟩,
replace H := linear_pmap.domain_mono.monotone H,
rw [linear_pmap.domain_sup, linear_pmap.domain_mk_span_singleton, sup_le_iff,
span_le, singleton_subset_iff] at H,
exact hy H.2 },
{ rintros ⟨z, hz⟩ hzs,
rcases mem_sup.1 hz with ⟨x, hx, y', hy', rfl⟩,
rcases mem_span_singleton.1 hy' with ⟨r, rfl⟩,
simp only [subtype.coe_mk] at hzs,
rw [linear_pmap.sup_apply _ ⟨x, hx⟩ ⟨_, hy'⟩ ⟨_, hz⟩ rfl, linear_pmap.mk_span_singleton_apply,
smul_neg, ← sub_eq_add_neg, sub_nonneg],
rcases lt_trichotomy r 0 with hr|hr|hr,
{ have : -(r⁻¹ • x) - y ∈ s,
by rwa [← s.smul_mem_iff (neg_pos.2 hr), smul_sub, smul_neg, neg_smul, neg_neg, smul_smul,
mul_inv_cancel (ne_of_lt hr), one_smul, sub_eq_add_neg, neg_smul, neg_neg],
replace := le_c (r⁻¹ • ⟨x, hx⟩) this,
rwa [← mul_le_mul_left (neg_pos.2 hr), ← neg_mul_eq_neg_mul, ← neg_mul_eq_neg_mul,
neg_le_neg_iff, f.map_smul, smul_eq_mul, ← mul_assoc, mul_inv_cancel (ne_of_lt hr),
one_mul] at this },
{ subst r,
simp only [zero_smul, add_zero] at hzs ⊢,
apply nonneg,
exact hzs },
{ have : r⁻¹ • x + y ∈ s,
by rwa [← s.smul_mem_iff hr, smul_add, smul_smul, mul_inv_cancel (ne_of_gt hr), one_smul],
replace := c_le (r⁻¹ • ⟨x, hx⟩) this,
rwa [← mul_le_mul_left hr, f.map_smul, smul_eq_mul, ← mul_assoc,
mul_inv_cancel (ne_of_gt hr), one_mul] at this } }
end
@[nolint ge_or_gt]
theorem exists_top (p : linear_pmap ℝ E ℝ)
(hp_nonneg : ∀ x : p.domain, (x : E) ∈ s → 0 ≤ p x)
(hp_dense : ∀ y, ∃ x : p.domain, (x : E) + y ∈ s) :
∃ q ≥ p, q.domain = ⊤ ∧ ∀ x : q.domain, (x : E) ∈ s → 0 ≤ q x :=
begin
replace hp_nonneg : p ∈ { p | _ }, by { rw mem_set_of_eq, exact hp_nonneg },
obtain ⟨q, hqs, hpq, hq⟩ := zorn.zorn_partial_order₀ _ _ _ hp_nonneg,
{ refine ⟨q, hpq, _, hqs⟩,
contrapose! hq,
rcases step s q hqs _ hq with ⟨r, hqr, hr⟩,
{ exact ⟨r, hr, le_of_lt hqr, ne_of_gt hqr⟩ },
{ exact λ y, let ⟨x, hx⟩ := hp_dense y in ⟨of_le hpq.left x, hx⟩ } },
{ intros c hcs c_chain y hy,
clear hp_nonneg hp_dense p,
have cne : c.nonempty := ⟨y, hy⟩,
refine ⟨linear_pmap.Sup c c_chain.directed_on, _, λ _, linear_pmap.le_Sup c_chain.directed_on⟩,
rintros ⟨x, hx⟩ hxs,
have hdir : directed_on (≤) (linear_pmap.domain '' c),
from (directed_on_image _).2 (c_chain.directed_on.mono _ linear_pmap.domain_mono.monotone),
rcases (mem_Sup_of_directed (cne.image _) hdir).1 hx with ⟨_, ⟨f, hfc, rfl⟩, hfx⟩,
have : f ≤ linear_pmap.Sup c c_chain.directed_on, from linear_pmap.le_Sup _ hfc,
convert ← hcs hfc ⟨x, hfx⟩ hxs,
apply this.2, refl }
end
end riesz_extension
/-- M. Riesz extension theorem: given a convex cone `s` in a vector space `E`, a submodule `p`,
and a linear `f : p → ℝ`, assume that `f` is nonnegative on `p ∩ s` and `p + s = E`. Then
there exists a globally defined linear function `g : E → ℝ` that agrees with `f` on `p`,
and is nonnegative on `s`. -/
theorem riesz_extension (s : convex_cone E) (f : linear_pmap ℝ E ℝ)
(nonneg : ∀ x : f.domain, (x : E) ∈ s → 0 ≤ f x) (dense : ∀ y, ∃ x : f.domain, (x : E) + y ∈ s) :
∃ g : E →ₗ[ℝ] ℝ, (∀ x : f.domain, g x = f x) ∧ (∀ x ∈ s, 0 ≤ g x) :=
begin
rcases riesz_extension.exists_top s f nonneg dense with ⟨⟨g_dom, g⟩, ⟨hpg, hfg⟩, htop, hgs⟩,
clear hpg,
refine ⟨g.comp (linear_equiv.of_top _ htop).symm, _, _⟩;
simp only [comp_apply, linear_equiv.coe_coe, linear_equiv.of_top_symm_apply],
{ exact λ x, (hfg (submodule.coe_mk _ _).symm).symm },
{ exact λ x hx, hgs ⟨x, _⟩ hx }
end
/-- Hahn-Banach theorem: if `N : E → ℝ` is a sublinear map, `f` is a linear map
defined on a subspace of `E`, and `f x ≤ N x` for all `x` in the domain of `f`,
then `f` can be extended to the whole space to a linear map `g` such that `g x ≤ N x`
for all `x`. -/
theorem exists_extension_of_le_sublinear (f : linear_pmap ℝ E ℝ) (N : E → ℝ)
(N_hom : ∀ (c : ℝ), 0 < c → ∀ x, N (c • x) = c * N x)
(N_add : ∀ x y, N (x + y) ≤ N x + N y)
(hf : ∀ x : f.domain, f x ≤ N x) :
∃ g : E →ₗ[ℝ] ℝ, (∀ x : f.domain, g x = f x) ∧ (∀ x, g x ≤ N x) :=
begin
let s : convex_cone (E × ℝ) :=
{ carrier := {p : E × ℝ | N p.1 ≤ p.2 },
smul_mem' := λ c hc p hp,
calc N (c • p.1) = c * N p.1 : N_hom c hc p.1
... ≤ c * p.2 : mul_le_mul_of_nonneg_left hp (le_of_lt hc),
add_mem' := λ x hx y hy, le_trans (N_add _ _) (add_le_add hx hy) },
obtain ⟨g, g_eq, g_nonneg⟩ :=
riesz_extension s ((-f).coprod (linear_map.id.to_pmap ⊤)) _ _;
simp only [linear_pmap.coprod_apply, to_pmap_apply, id_apply,
linear_pmap.neg_apply, ← sub_eq_neg_add, sub_nonneg, subtype.coe_mk] at *,
replace g_eq : ∀ (x : f.domain) (y : ℝ), g (x, y) = y - f x,
{ intros x y,
simpa only [subtype.coe_mk, subtype.coe_eta] using g_eq ⟨(x, y), ⟨x.2, trivial⟩⟩ },
{ refine ⟨-g.comp (inl ℝ E ℝ), _, _⟩; simp only [neg_apply, inl_apply, comp_apply],
{ intro x, simp [g_eq x 0] },
{ intro x,
have A : (x, N x) = (x, 0) + (0, N x), by simp,
have B := g_nonneg ⟨x, N x⟩ (le_refl (N x)),
rw [A, map_add, ← neg_le_iff_add_nonneg] at B,
have C := g_eq 0 (N x),
simp only [submodule.coe_zero, f.map_zero, sub_zero] at C,
rwa ← C } },
{ exact λ x hx, le_trans (hf _) hx },
{ rintros ⟨x, y⟩,
refine ⟨⟨(0, N x - y), ⟨f.domain.zero_mem, trivial⟩⟩, _⟩,
simp only [convex_cone.mem_mk, mem_set_of_eq, subtype.coe_mk, prod.fst_add, prod.snd_add,
zero_add, sub_add_cancel] }
end
|
5e9e2dd3baafeb545be55f5833ef7600af3f8076 | 853df553b1d6ca524e3f0a79aedd32dde5d27ec3 | /src/topology/algebra/uniform_group.lean | d58b4d85178c70a56627423f2a73713447ad1d0c | [
"Apache-2.0"
] | permissive | DanielFabian/mathlib | efc3a50b5dde303c59eeb6353ef4c35a345d7112 | f520d07eba0c852e96fe26da71d85bf6d40fcc2a | refs/heads/master | 1,668,739,922,971 | 1,595,201,756,000 | 1,595,201,756,000 | 279,469,476 | 0 | 0 | null | 1,594,696,604,000 | 1,594,696,604,000 | null | UTF-8 | Lean | false | false | 19,590 | 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.uniform_space.uniform_embedding
import topology.uniform_space.complete_separated
import topology.algebra.group
import tactic.abel
/-!
# Uniform structure on topological groups
* `topological_add_group.to_uniform_space` and `topological_add_group_is_uniform` can be used to
construct a canonical uniformity for a topological add group.
* extension of ℤ-bilinear maps to complete groups (useful for ring completions)
* `add_group_with_zero_nhd`: construct the topological structure from a group with a neighbourhood
around zero. Then with `topological_add_group.to_uniform_space` one can derive a `uniform_space`.
-/
noncomputable theory
open_locale classical uniformity topological_space
section uniform_add_group
open filter set
variables {α : Type*} {β : Type*}
/-- A uniform (additive) group is a group in which the addition and negation are
uniformly continuous. -/
class uniform_add_group (α : Type*) [uniform_space α] [add_group α] : Prop :=
(uniform_continuous_sub : uniform_continuous (λp:α×α, p.1 - p.2))
theorem uniform_add_group.mk' {α} [uniform_space α] [add_group α]
(h₁ : uniform_continuous (λp:α×α, p.1 + p.2))
(h₂ : uniform_continuous (λp:α, -p)) : uniform_add_group α :=
⟨h₁.comp (uniform_continuous_fst.prod_mk (h₂.comp uniform_continuous_snd))⟩
variables [uniform_space α] [add_group α] [uniform_add_group α]
lemma uniform_continuous_sub : uniform_continuous (λp:α×α, p.1 - p.2) :=
uniform_add_group.uniform_continuous_sub
lemma uniform_continuous.sub [uniform_space β] {f : β → α} {g : β → α}
(hf : uniform_continuous f) (hg : uniform_continuous g) : uniform_continuous (λx, f x - g x) :=
uniform_continuous_sub.comp (hf.prod_mk hg)
lemma uniform_continuous.neg [uniform_space β] {f : β → α}
(hf : uniform_continuous f) : uniform_continuous (λx, - f x) :=
have uniform_continuous (λx, 0 - f x),
from uniform_continuous_const.sub hf,
by simp * at *
lemma uniform_continuous_neg : uniform_continuous (λx:α, - x) :=
uniform_continuous_id.neg
lemma uniform_continuous.add [uniform_space β] {f : β → α} {g : β → α}
(hf : uniform_continuous f) (hg : uniform_continuous g) : uniform_continuous (λx, f x + g x) :=
have uniform_continuous (λx, f x - - g x), from hf.sub hg.neg,
by simp [*, sub_eq_add_neg] at *
lemma uniform_continuous_add : uniform_continuous (λp:α×α, p.1 + p.2) :=
uniform_continuous_fst.add uniform_continuous_snd
@[priority 10]
instance uniform_add_group.to_topological_add_group : topological_add_group α :=
{ continuous_add := uniform_continuous_add.continuous,
continuous_neg := uniform_continuous_neg.continuous }
instance [uniform_space β] [add_group β] [uniform_add_group β] : uniform_add_group (α × β) :=
⟨((uniform_continuous_fst.comp uniform_continuous_fst).sub
(uniform_continuous_fst.comp uniform_continuous_snd)).prod_mk
((uniform_continuous_snd.comp uniform_continuous_fst).sub
(uniform_continuous_snd.comp uniform_continuous_snd))⟩
lemma uniformity_translate (a : α) : (𝓤 α).map (λx:α×α, (x.1 + a, x.2 + a)) = 𝓤 α :=
le_antisymm
(uniform_continuous_id.add uniform_continuous_const)
(calc 𝓤 α =
((𝓤 α).map (λx:α×α, (x.1 + -a, x.2 + -a))).map (λx:α×α, (x.1 + a, x.2 + a)) :
by simp [filter.map_map, (∘)]; exact filter.map_id.symm
... ≤ (𝓤 α).map (λx:α×α, (x.1 + a, x.2 + a)) :
filter.map_mono (uniform_continuous_id.add uniform_continuous_const))
lemma uniform_embedding_translate (a : α) : uniform_embedding (λx:α, x + a) :=
{ comap_uniformity := begin
rw [← uniformity_translate a, comap_map] {occs := occurrences.pos [1]},
rintros ⟨p₁, p₂⟩ ⟨q₁, q₂⟩,
simp [prod.eq_iff_fst_eq_snd_eq] {contextual := tt}
end,
inj := add_left_injective a }
section
variables (α)
lemma uniformity_eq_comap_nhds_zero : 𝓤 α = comap (λx:α×α, x.2 - x.1) (𝓝 (0:α)) :=
begin
rw [nhds_eq_comap_uniformity, filter.comap_comap],
refine le_antisymm (filter.map_le_iff_le_comap.1 _) _,
{ assume s hs,
rcases mem_uniformity_of_uniform_continuous_invariant uniform_continuous_sub hs with ⟨t, ht, hts⟩,
refine mem_map.2 (mem_sets_of_superset ht _),
rintros ⟨a, b⟩,
simpa [subset_def] using hts a b a },
{ assume s hs,
rcases mem_uniformity_of_uniform_continuous_invariant uniform_continuous_add hs with ⟨t, ht, hts⟩,
refine ⟨_, ht, _⟩,
rintros ⟨a, b⟩, simpa [subset_def] using hts 0 (b - a) a }
end
end
lemma group_separation_rel (x y : α) : (x, y) ∈ separation_rel α ↔ x - y ∈ closure ({0} : set α) :=
have embedding (λa, a + (y - x)), from (uniform_embedding_translate (y - x)).embedding,
show (x, y) ∈ ⋂₀ (𝓤 α).sets ↔ x - y ∈ closure ({0} : set α),
begin
rw [this.closure_eq_preimage_closure_image, uniformity_eq_comap_nhds_zero α, sInter_comap_sets],
simp [mem_closure_iff_nhds, inter_singleton_nonempty, sub_eq_add_neg, add_assoc]
end
lemma uniform_continuous_of_tendsto_zero [uniform_space β] [add_group β] [uniform_add_group β]
{f : α → β} [is_add_group_hom f] (h : tendsto f (𝓝 0) (𝓝 0)) :
uniform_continuous f :=
begin
have : ((λx:β×β, x.2 - x.1) ∘ (λx:α×α, (f x.1, f x.2))) = (λx:α×α, f (x.2 - x.1)),
{ simp only [is_add_group_hom.map_sub f] },
rw [uniform_continuous, uniformity_eq_comap_nhds_zero α, uniformity_eq_comap_nhds_zero β,
tendsto_comap_iff, this],
exact tendsto.comp h tendsto_comap
end
lemma uniform_continuous_of_continuous [uniform_space β] [add_group β] [uniform_add_group β]
{f : α → β} [is_add_group_hom f] (h : continuous f) :
uniform_continuous f :=
uniform_continuous_of_tendsto_zero $
suffices tendsto f (𝓝 0) (𝓝 (f 0)), by rwa [is_add_group_hom.map_zero f] at this,
h.tendsto 0
end uniform_add_group
section topological_add_comm_group
universes u v w x
open filter
variables {G : Type u} [add_comm_group G] [topological_space G] [topological_add_group G]
variable (G)
def topological_add_group.to_uniform_space : uniform_space G :=
{ uniformity := comap (λp:G×G, p.2 - p.1) (𝓝 0),
refl :=
by refine map_le_iff_le_comap.1 (le_trans _ (pure_le_nhds 0));
simp [set.subset_def] {contextual := tt},
symm :=
begin
suffices : tendsto ((λp, -p) ∘ (λp:G×G, p.2 - p.1)) (comap (λp:G×G, p.2 - p.1) (𝓝 0)) (𝓝 (-0)),
{ simpa [(∘), tendsto_comap_iff] },
exact tendsto.comp (tendsto.neg tendsto_id) tendsto_comap
end,
comp :=
begin
intros D H,
rw mem_lift'_sets,
{ rcases H with ⟨U, U_nhds, U_sub⟩,
rcases exists_nhds_half U_nhds with ⟨V, ⟨V_nhds, V_sum⟩⟩,
existsi ((λp:G×G, p.2 - p.1) ⁻¹' V),
have H : (λp:G×G, p.2 - p.1) ⁻¹' V ∈ comap (λp:G×G, p.2 - p.1) (𝓝 (0 : G)),
by existsi [V, V_nhds] ; refl,
existsi H,
have comp_rel_sub : comp_rel ((λp:G×G, p.2 - p.1) ⁻¹' V) ((λp:G×G, p.2 - p.1) ⁻¹' V) ⊆ (λp:G×G, p.2 - p.1) ⁻¹' U,
begin
intros p p_comp_rel,
rcases p_comp_rel with ⟨z, ⟨Hz1, Hz2⟩⟩,
simpa [sub_eq_add_neg, add_comm, add_left_comm] using V_sum _ _ Hz1 Hz2
end,
exact set.subset.trans comp_rel_sub U_sub },
{ exact monotone_comp_rel monotone_id monotone_id }
end,
is_open_uniformity :=
begin
intro S,
let S' := λ x, {p : G × G | p.1 = x → p.2 ∈ S},
show is_open S ↔ ∀ (x : G), x ∈ S → S' x ∈ comap (λp:G×G, p.2 - p.1) (𝓝 (0 : G)),
rw [is_open_iff_mem_nhds],
refine forall_congr (assume a, forall_congr (assume ha, _)),
rw [← nhds_translation a, mem_comap_sets, mem_comap_sets],
refine exists_congr (assume t, exists_congr (assume ht, _)),
show (λ (y : G), y - a) ⁻¹' t ⊆ S ↔ (λ (p : G × G), p.snd - p.fst) ⁻¹' t ⊆ S' a,
split,
{ rintros h ⟨x, y⟩ hx rfl, exact h hx },
{ rintros h x hx, exact @h (a, x) hx rfl }
end }
section
local attribute [instance] topological_add_group.to_uniform_space
lemma uniformity_eq_comap_nhds_zero' : 𝓤 G = comap (λp:G×G, p.2 - p.1) (𝓝 (0 : G)) := rfl
variable {G}
lemma topological_add_group_is_uniform : uniform_add_group G :=
have tendsto
((λp:(G×G), p.1 - p.2) ∘ (λp:(G×G)×(G×G), (p.1.2 - p.1.1, p.2.2 - p.2.1)))
(comap (λp:(G×G)×(G×G), (p.1.2 - p.1.1, p.2.2 - p.2.1)) ((𝓝 0).prod (𝓝 0)))
(𝓝 (0 - 0)) :=
(tendsto_fst.sub tendsto_snd).comp tendsto_comap,
begin
constructor,
rw [uniform_continuous, uniformity_prod_eq_prod, tendsto_map'_iff,
uniformity_eq_comap_nhds_zero' G, tendsto_comap_iff, prod_comap_comap_eq],
simpa [(∘), sub_eq_add_neg, add_comm, add_left_comm] using this
end
end
lemma to_uniform_space_eq {α : Type*} [u : uniform_space α] [add_comm_group α] [uniform_add_group α]:
topological_add_group.to_uniform_space α = u :=
begin
ext : 1,
show @uniformity α (topological_add_group.to_uniform_space α) = 𝓤 α,
rw [uniformity_eq_comap_nhds_zero' α, uniformity_eq_comap_nhds_zero α]
end
end topological_add_comm_group
namespace add_comm_group
section Z_bilin
variables {α : Type*} {β : Type*} {γ : Type*} {δ : Type*}
variables [add_comm_group α] [add_comm_group β] [add_comm_group γ]
/- TODO: when modules are changed to have more explicit base ring, then change replace `is_Z_bilin`
by using `is_bilinear_map ℤ` from `tensor_product`. -/
class is_Z_bilin (f : α × β → γ) : Prop :=
(add_left [] : ∀ a a' b, f (a + a', b) = f (a, b) + f (a', b))
(add_right [] : ∀ a b b', f (a, b + b') = f (a, b) + f (a, b'))
variables (f : α × β → γ) [is_Z_bilin f]
lemma is_Z_bilin.comp_hom {g : γ → δ} [add_comm_group δ] [is_add_group_hom g] :
is_Z_bilin (g ∘ f) :=
by constructor; simp [(∘), is_Z_bilin.add_left f, is_Z_bilin.add_right f, is_add_hom.map_add g]
instance is_Z_bilin.comp_swap : is_Z_bilin (f ∘ prod.swap) :=
⟨λ a a' b, is_Z_bilin.add_right f b a a',
λ a b b', is_Z_bilin.add_left f b b' a⟩
lemma is_Z_bilin.zero_left : ∀ b, f (0, b) = 0 :=
begin
intro b,
apply add_self_iff_eq_zero.1,
rw ←is_Z_bilin.add_left f,
simp
end
lemma is_Z_bilin.zero_right : ∀ a, f (a, 0) = 0 :=
is_Z_bilin.zero_left (f ∘ prod.swap)
lemma is_Z_bilin.zero : f (0, 0) = 0 :=
is_Z_bilin.zero_left f 0
lemma is_Z_bilin.neg_left : ∀ a b, f (-a, b) = -f (a, b) :=
begin
intros a b,
apply eq_of_sub_eq_zero,
rw [sub_eq_add_neg, neg_neg, ←is_Z_bilin.add_left f, neg_add_self, is_Z_bilin.zero_left f]
end
lemma is_Z_bilin.neg_right : ∀ a b, f (a, -b) = -f (a, b) :=
assume a b, is_Z_bilin.neg_left (f ∘ prod.swap) b a
lemma is_Z_bilin.sub_left : ∀ a a' b, f (a - a', b) = f (a, b) - f (a', b) :=
begin
intros,
simp [sub_eq_add_neg],
rw [is_Z_bilin.add_left f, is_Z_bilin.neg_left f]
end
lemma is_Z_bilin.sub_right : ∀ a b b', f (a, b - b') = f (a, b) - f (a,b') :=
assume a b b', is_Z_bilin.sub_left (f ∘ prod.swap) b b' a
end Z_bilin
end add_comm_group
open add_comm_group filter set function
section
variables {α : Type*} {β : Type*} {γ : Type*} {δ : Type*}
-- α, β and G are abelian topological groups, G is a uniform space
variables [topological_space α] [add_comm_group α]
variables [topological_space β] [add_comm_group β]
variables {G : Type*} [uniform_space G] [add_comm_group G]
variables {ψ : α × β → G} (hψ : continuous ψ) [ψbilin : is_Z_bilin ψ]
include hψ ψbilin
lemma is_Z_bilin.tendsto_zero_left (x₁ : α) : tendsto ψ (𝓝 (x₁, 0)) (𝓝 0) :=
begin
have := hψ.tendsto (x₁, 0),
rwa [is_Z_bilin.zero_right ψ] at this
end
lemma is_Z_bilin.tendsto_zero_right (y₁ : β) : tendsto ψ (𝓝 (0, y₁)) (𝓝 0) :=
begin
have := hψ.tendsto (0, y₁),
rwa [is_Z_bilin.zero_left ψ] at this
end
end
section
variables {α : Type*} {β : Type*}
variables [topological_space α] [add_comm_group α] [topological_add_group α]
-- β is a dense subgroup of α, inclusion is denoted by e
variables [topological_space β] [add_comm_group β]
variables {e : β → α} [is_add_group_hom e] (de : dense_inducing e)
include de
lemma tendsto_sub_comap_self (x₀ : α) :
tendsto (λt:β×β, t.2 - t.1) (comap (λp:β×β, (e p.1, e p.2)) $ 𝓝 (x₀, x₀)) (𝓝 0) :=
begin
have comm : (λx:α×α, x.2-x.1) ∘ (λt:β×β, (e t.1, e t.2)) = e ∘ (λt:β×β, t.2 - t.1),
{ ext t,
change e t.2 - e t.1 = e (t.2 - t.1),
rwa ← is_add_group_hom.map_sub e t.2 t.1 },
have lim : tendsto (λ x : α × α, x.2-x.1) (𝓝 (x₀, x₀)) (𝓝 (e 0)),
{ have := (continuous_sub.comp continuous_swap).tendsto (x₀, x₀),
simpa [-sub_eq_add_neg, sub_self, eq.symm (is_add_group_hom.map_zero e)] using this },
have := de.tendsto_comap_nhds_nhds lim comm,
simp [-sub_eq_add_neg, this]
end
end
namespace dense_inducing
variables {α : Type*} {β : Type*} {γ : Type*} {δ : Type*}
variables {G : Type*}
-- β is a dense subgroup of α, inclusion is denoted by e
-- δ is a dense subgroup of γ, inclusion is denoted by f
variables [topological_space α] [add_comm_group α] [topological_add_group α]
variables [topological_space β] [add_comm_group β] [topological_add_group β]
variables [topological_space γ] [add_comm_group γ] [topological_add_group γ]
variables [topological_space δ] [add_comm_group δ] [topological_add_group δ]
variables [uniform_space G] [add_comm_group G] [uniform_add_group G] [separated_space G] [complete_space G]
variables {e : β → α} [is_add_group_hom e] (de : dense_inducing e)
variables {f : δ → γ} [is_add_group_hom f] (df : dense_inducing f)
variables {φ : β × δ → G} (hφ : continuous φ) [bilin : is_Z_bilin φ]
include de df hφ bilin
variables {W' : set G} (W'_nhd : W' ∈ 𝓝 (0 : G))
include W'_nhd
private lemma extend_Z_bilin_aux (x₀ : α) (y₁ : δ) :
∃ U₂ ∈ comap e (𝓝 x₀), ∀ x x' ∈ U₂, φ (x' - x, y₁) ∈ W' :=
begin
let Nx := 𝓝 x₀,
let ee := λ u : β × β, (e u.1, e u.2),
have lim1 : tendsto (λ a : β × β, (a.2 - a.1, y₁)) (filter.prod (comap e Nx) (comap e Nx)) (𝓝 (0, y₁)),
{ have := tendsto.prod_mk (tendsto_sub_comap_self de x₀) (tendsto_const_nhds : tendsto (λ (p : β × β), y₁) (comap ee $ 𝓝 (x₀, x₀)) (𝓝 y₁)),
rw [nhds_prod_eq, prod_comap_comap_eq, ←nhds_prod_eq],
exact (this : _) },
have lim := tendsto.comp (is_Z_bilin.tendsto_zero_right hφ y₁) lim1,
rw tendsto_prod_self_iff at lim,
exact lim W' W'_nhd,
end
private lemma extend_Z_bilin_key (x₀ : α) (y₀ : γ) :
∃ U ∈ comap e (𝓝 x₀), ∃ V ∈ comap f (𝓝 y₀),
∀ x x' ∈ U, ∀ y y' ∈ V, φ (x', y') - φ (x, y) ∈ W' :=
begin
let Nx := 𝓝 x₀,
let Ny := 𝓝 y₀,
let dp := dense_inducing.prod de df,
let ee := λ u : β × β, (e u.1, e u.2),
let ff := λ u : δ × δ, (f u.1, f u.2),
have lim_φ : filter.tendsto φ (𝓝 (0, 0)) (𝓝 0),
{ have := hφ.tendsto (0, 0),
rwa [is_Z_bilin.zero φ] at this },
have lim_φ_sub_sub : tendsto (λ (p : (β × β) × (δ × δ)), φ (p.1.2 - p.1.1, p.2.2 - p.2.1))
(filter.prod (comap ee $ 𝓝 (x₀, x₀)) (comap ff $ 𝓝 (y₀, y₀))) (𝓝 0),
{ have lim_sub_sub : tendsto (λ (p : (β × β) × δ × δ), (p.1.2 - p.1.1, p.2.2 - p.2.1))
(filter.prod (comap ee (𝓝 (x₀, x₀))) (comap ff (𝓝 (y₀, y₀)))) (filter.prod (𝓝 0) (𝓝 0)),
{ have := filter.prod_mono (tendsto_sub_comap_self de x₀) (tendsto_sub_comap_self df y₀),
rwa prod_map_map_eq at this },
rw ← nhds_prod_eq at lim_sub_sub,
exact tendsto.comp lim_φ lim_sub_sub },
rcases exists_nhds_quarter W'_nhd with ⟨W, W_nhd, W4⟩,
have : ∃ U₁ ∈ comap e (𝓝 x₀), ∃ V₁ ∈ comap f (𝓝 y₀),
∀ x x' ∈ U₁, ∀ y y' ∈ V₁, φ (x'-x, y'-y) ∈ W,
{ have := tendsto_prod_iff.1 lim_φ_sub_sub W W_nhd,
repeat { rw [nhds_prod_eq, ←prod_comap_comap_eq] at this },
rcases this with ⟨U, U_in, V, V_in, H⟩,
rw [mem_prod_same_iff] at U_in V_in,
rcases U_in with ⟨U₁, U₁_in, HU₁⟩,
rcases V_in with ⟨V₁, V₁_in, HV₁⟩,
existsi [U₁, U₁_in, V₁, V₁_in],
intros x x' x_in x'_in y y' y_in y'_in,
exact H _ _ (HU₁ (mk_mem_prod x_in x'_in)) (HV₁ (mk_mem_prod y_in y'_in)) },
rcases this with ⟨U₁, U₁_nhd, V₁, V₁_nhd, H⟩,
obtain ⟨x₁, x₁_in⟩ : U₁.nonempty :=
(forall_sets_nonempty_iff_ne_bot.2 de.comap_nhds_ne_bot U₁ U₁_nhd),
obtain ⟨y₁, y₁_in⟩ : V₁.nonempty :=
(forall_sets_nonempty_iff_ne_bot.2 df.comap_nhds_ne_bot V₁ V₁_nhd),
rcases (extend_Z_bilin_aux de df hφ W_nhd x₀ y₁) with ⟨U₂, U₂_nhd, HU⟩,
rcases (extend_Z_bilin_aux df de (hφ.comp continuous_swap) W_nhd y₀ x₁) with ⟨V₂, V₂_nhd, HV⟩,
existsi [U₁ ∩ U₂, inter_mem_sets U₁_nhd U₂_nhd,
V₁ ∩ V₂, inter_mem_sets V₁_nhd V₂_nhd],
rintros x x' ⟨xU₁, xU₂⟩ ⟨x'U₁, x'U₂⟩ y y' ⟨yV₁, yV₂⟩ ⟨y'V₁, y'V₂⟩,
have key_formula : φ(x', y') - φ(x, y) = φ(x' - x, y₁) + φ(x' - x, y' - y₁) + φ(x₁, y' - y) + φ(x - x₁, y' - y),
{ repeat { rw is_Z_bilin.sub_left φ },
repeat { rw is_Z_bilin.sub_right φ },
apply eq_of_sub_eq_zero,
simp [sub_eq_add_neg], abel },
rw key_formula,
have h₁ := HU x x' xU₂ x'U₂,
have h₂ := H x x' xU₁ x'U₁ y₁ y' y₁_in y'V₁,
have h₃ := HV y y' yV₂ y'V₂,
have h₄ := H x₁ x x₁_in xU₁ y y' yV₁ y'V₁,
exact W4 h₁ h₂ h₃ h₄
end
omit W'_nhd
open dense_inducing
/-- Bourbaki GT III.6.5 Theorem I:
ℤ-bilinear continuous maps from dense images into a complete Hausdorff group extend by continuity.
Note: Bourbaki assumes that α and β are also complete Hausdorff, but this is not necessary. -/
theorem extend_Z_bilin : continuous (extend (de.prod df) φ) :=
begin
refine continuous_extend_of_cauchy _ _,
rintro ⟨x₀, y₀⟩,
split,
{ apply map_ne_bot,
apply comap_ne_bot,
intros U h,
rcases mem_closure_iff_nhds.1 ((de.prod df).dense (x₀, y₀)) U h with ⟨x, x_in, ⟨z, z_x⟩⟩,
existsi z,
cc },
{ suffices : map (λ (p : (β × δ) × (β × δ)), φ p.2 - φ p.1)
(comap (λ (p : (β × δ) × β × δ), ((e p.1.1, f p.1.2), (e p.2.1, f p.2.2)))
(filter.prod (𝓝 (x₀, y₀)) (𝓝 (x₀, y₀)))) ≤ 𝓝 0,
by rwa [uniformity_eq_comap_nhds_zero G, prod_map_map_eq, ←map_le_iff_le_comap, filter.map_map,
prod_comap_comap_eq],
intros W' W'_nhd,
have key := extend_Z_bilin_key de df hφ W'_nhd x₀ y₀,
rcases key with ⟨U, U_nhd, V, V_nhd, h⟩,
rw mem_comap_sets at U_nhd,
rcases U_nhd with ⟨U', U'_nhd, U'_sub⟩,
rw mem_comap_sets at V_nhd,
rcases V_nhd with ⟨V', V'_nhd, V'_sub⟩,
rw [mem_map, mem_comap_sets, nhds_prod_eq],
existsi set.prod (set.prod U' V') (set.prod U' V'),
rw mem_prod_same_iff,
simp only [exists_prop],
split,
{ change U' ∈ 𝓝 x₀ at U'_nhd,
change V' ∈ 𝓝 y₀ at V'_nhd,
have := prod_mem_prod U'_nhd V'_nhd,
tauto },
{ intros p h',
simp only [set.mem_preimage, set.prod_mk_mem_set_prod_eq] at h',
rcases p with ⟨⟨x, y⟩, ⟨x', y'⟩⟩,
apply h ; tauto } }
end
end dense_inducing
|
29bf26dc156f080c0fbc9c3e266ec0273eda8de5 | 31f556cdeb9239ffc2fad8f905e33987ff4feab9 | /stage0/src/Init/Data/Array/Basic.lean | 6a3d1da0a6a697d54b763f593283b2a7afc6c68a | [
"Apache-2.0",
"LLVM-exception",
"NCSA",
"LGPL-3.0-only",
"LicenseRef-scancode-inner-net-2.0",
"BSD-3-Clause",
"LGPL-2.0-or-later",
"Spencer-94",
"LGPL-2.1-or-later",
"HPND",
"LicenseRef-scancode-pcre",
"ISC",
"LGPL-2.1-only",
"LicenseRef-scancode-other-permissive",
"SunPro",
"CMU-Mach"... | permissive | tobiasgrosser/lean4 | ce0fd9cca0feba1100656679bf41f0bffdbabb71 | ebdbdc10436a4d9d6b66acf78aae7a23f5bd073f | refs/heads/master | 1,673,103,412,948 | 1,664,930,501,000 | 1,664,930,501,000 | 186,870,185 | 0 | 0 | Apache-2.0 | 1,665,129,237,000 | 1,557,939,901,000 | Lean | UTF-8 | Lean | false | false | 28,698 | lean | /-
Copyright (c) 2018 Microsoft Corporation. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Leonardo de Moura
-/
prelude
import Init.WFTactics
import Init.Data.Nat.Basic
import Init.Data.Fin.Basic
import Init.Data.UInt
import Init.Data.Repr
import Init.Data.ToString.Basic
import Init.Util
universe u v w
namespace Array
variable {α : Type u}
@[extern "lean_mk_array"]
def mkArray {α : Type u} (n : Nat) (v : α) : Array α := {
data := List.replicate n v
}
@[simp] theorem size_mkArray (n : Nat) (v : α) : (mkArray n v).size = n :=
List.length_replicate ..
instance : EmptyCollection (Array α) := ⟨Array.empty⟩
instance : Inhabited (Array α) where
default := Array.empty
def isEmpty (a : Array α) : Bool :=
a.size = 0
def singleton (v : α) : Array α :=
mkArray 1 v
/-- Low-level version of `fget` which is as fast as a C array read.
`Fin` values are represented as tag pointers in the Lean runtime. Thus,
`fget` may be slightly slower than `uget`. -/
@[extern "lean_array_uget"]
def uget (a : @& Array α) (i : USize) (h : i.toNat < a.size) : α :=
a[i.toNat]
instance : GetElem (Array α) USize α fun xs i => i.toNat < xs.size where
getElem xs i h := xs.uget i h
def back [Inhabited α] (a : Array α) : α :=
a.get! (a.size - 1)
def get? (a : Array α) (i : Nat) : Option α :=
if h : i < a.size then some a[i] else none
def back? (a : Array α) : Option α :=
a.get? (a.size - 1)
-- auxiliary declaration used in the equation compiler when pattern matching array literals.
abbrev getLit {α : Type u} {n : Nat} (a : Array α) (i : Nat) (h₁ : a.size = n) (h₂ : i < n) : α :=
have := h₁.symm ▸ h₂
a[i]
@[simp] theorem size_set (a : Array α) (i : Fin a.size) (v : α) : (set a i v).size = a.size :=
List.length_set ..
@[simp] theorem size_push (a : Array α) (v : α) : (push a v).size = a.size + 1 :=
List.length_concat ..
/-- Low-level version of `fset` which is as fast as a C array fset.
`Fin` values are represented as tag pointers in the Lean runtime. Thus,
`fset` may be slightly slower than `uset`. -/
@[extern "lean_array_uset"]
def uset (a : Array α) (i : USize) (v : α) (h : i.toNat < a.size) : Array α :=
a.set ⟨i.toNat, h⟩ v
@[extern "lean_array_fswap"]
def swap (a : Array α) (i j : @& Fin a.size) : Array α :=
let v₁ := a.get i
let v₂ := a.get j
let a' := a.set i v₂
a'.set (size_set a i v₂ ▸ j) v₁
@[extern "lean_array_swap"]
def swap! (a : Array α) (i j : @& Nat) : Array α :=
if h₁ : i < a.size then
if h₂ : j < a.size then swap a ⟨i, h₁⟩ ⟨j, h₂⟩
else panic! "index out of bounds"
else panic! "index out of bounds"
@[inline] def swapAt (a : Array α) (i : Fin a.size) (v : α) : α × Array α :=
let e := a.get i
let a := a.set i v
(e, a)
@[inline]
def swapAt! (a : Array α) (i : Nat) (v : α) : α × Array α :=
if h : i < a.size then
swapAt a ⟨i, h⟩ v
else
have : Inhabited α := ⟨v⟩
panic! ("index " ++ toString i ++ " out of bounds")
@[extern "lean_array_pop"]
def pop (a : Array α) : Array α := {
data := a.data.dropLast
}
def shrink (a : Array α) (n : Nat) : Array α :=
let rec loop
| 0, a => a
| n+1, a => loop n a.pop
loop (a.size - n) a
@[inline]
unsafe def modifyMUnsafe [Monad m] (a : Array α) (i : Nat) (f : α → m α) : m (Array α) := do
if h : i < a.size then
let idx : Fin a.size := ⟨i, h⟩
let v := a.get idx
-- Replace a[i] by `box(0)`. This ensures that `v` remains unshared if possible.
-- Note: we assume that arrays have a uniform representation irrespective
-- of the element type, and that it is valid to store `box(0)` in any array.
let a' := a.set idx (unsafeCast ())
let v ← f v
pure <| a'.set (size_set a .. ▸ idx) v
else
pure a
@[implementedBy modifyMUnsafe]
def modifyM [Monad m] (a : Array α) (i : Nat) (f : α → m α) : m (Array α) := do
if h : i < a.size then
let idx := ⟨i, h⟩
let v := a.get idx
let v ← f v
pure <| a.set idx v
else
pure a
@[inline]
def modify (a : Array α) (i : Nat) (f : α → α) : Array α :=
Id.run <| modifyM a i f
@[inline]
def modifyOp (self : Array α) (idx : Nat) (f : α → α) : Array α :=
self.modify idx f
/--
We claim this unsafe implementation is correct because an array cannot have more than `usizeSz` elements in our runtime.
This kind of low level trick can be removed with a little bit of compiler support. For example, if the compiler simplifies `as.size < usizeSz` to true. -/
@[inline] unsafe def forInUnsafe {α : Type u} {β : Type v} {m : Type v → Type w} [Monad m] (as : Array α) (b : β) (f : α → β → m (ForInStep β)) : m β :=
let sz := USize.ofNat as.size
let rec @[specialize] loop (i : USize) (b : β) : m β := do
if i < sz then
let a := as.uget i lcProof
match (← f a b) with
| ForInStep.done b => pure b
| ForInStep.yield b => loop (i+1) b
else
pure b
loop 0 b
/-- Reference implementation for `forIn` -/
@[implementedBy Array.forInUnsafe]
protected def forIn {α : Type u} {β : Type v} {m : Type v → Type w} [Monad m] (as : Array α) (b : β) (f : α → β → m (ForInStep β)) : m β :=
let rec loop (i : Nat) (h : i ≤ as.size) (b : β) : m β := do
match i, h with
| 0, _ => pure b
| i+1, h =>
have h' : i < as.size := Nat.lt_of_lt_of_le (Nat.lt_succ_self i) h
have : as.size - 1 < as.size := Nat.sub_lt (Nat.zero_lt_of_lt h') (by decide)
have : as.size - 1 - i < as.size := Nat.lt_of_le_of_lt (Nat.sub_le (as.size - 1) i) this
match (← f as[as.size - 1 - i] b) with
| ForInStep.done b => pure b
| ForInStep.yield b => loop i (Nat.le_of_lt h') b
loop as.size (Nat.le_refl _) b
instance : ForIn m (Array α) α where
forIn := Array.forIn
/-- See comment at `forInUnsafe` -/
@[inline]
unsafe def foldlMUnsafe {α : Type u} {β : Type v} {m : Type v → Type w} [Monad m] (f : β → α → m β) (init : β) (as : Array α) (start := 0) (stop := as.size) : m β :=
let rec @[specialize] fold (i : USize) (stop : USize) (b : β) : m β := do
if i == stop then
pure b
else
fold (i+1) stop (← f b (as.uget i lcProof))
if start < stop then
if stop ≤ as.size then
fold (USize.ofNat start) (USize.ofNat stop) init
else
pure init
else
pure init
/-- Reference implementation for `foldlM` -/
@[implementedBy foldlMUnsafe]
def foldlM {α : Type u} {β : Type v} {m : Type v → Type w} [Monad m] (f : β → α → m β) (init : β) (as : Array α) (start := 0) (stop := as.size) : m β :=
let fold (stop : Nat) (h : stop ≤ as.size) :=
let rec loop (i : Nat) (j : Nat) (b : β) : m β := do
if hlt : j < stop then
match i with
| 0 => pure b
| i'+1 =>
have : j < as.size := Nat.lt_of_lt_of_le hlt h
loop i' (j+1) (← f b as[j])
else
pure b
loop (stop - start) start init
if h : stop ≤ as.size then
fold stop h
else
fold as.size (Nat.le_refl _)
/-- See comment at `forInUnsafe` -/
@[inline]
unsafe def foldrMUnsafe {α : Type u} {β : Type v} {m : Type v → Type w} [Monad m] (f : α → β → m β) (init : β) (as : Array α) (start := as.size) (stop := 0) : m β :=
let rec @[specialize] fold (i : USize) (stop : USize) (b : β) : m β := do
if i == stop then
pure b
else
fold (i-1) stop (← f (as.uget (i-1) lcProof) b)
if start ≤ as.size then
if stop < start then
fold (USize.ofNat start) (USize.ofNat stop) init
else
pure init
else if stop < as.size then
fold (USize.ofNat as.size) (USize.ofNat stop) init
else
pure init
/-- Reference implementation for `foldrM` -/
@[implementedBy foldrMUnsafe]
def foldrM {α : Type u} {β : Type v} {m : Type v → Type w} [Monad m] (f : α → β → m β) (init : β) (as : Array α) (start := as.size) (stop := 0) : m β :=
let rec fold (i : Nat) (h : i ≤ as.size) (b : β) : m β := do
if i == stop then
pure b
else match i, h with
| 0, _ => pure b
| i+1, h =>
have : i < as.size := Nat.lt_of_lt_of_le (Nat.lt_succ_self _) h
fold i (Nat.le_of_lt this) (← f as[i] b)
if h : start ≤ as.size then
if stop < start then
fold start h init
else
pure init
else if stop < as.size then
fold as.size (Nat.le_refl _) init
else
pure init
/-- See comment at `forInUnsafe` -/
@[inline]
unsafe def mapMUnsafe {α : Type u} {β : Type v} {m : Type v → Type w} [Monad m] (f : α → m β) (as : Array α) : m (Array β) :=
let sz := USize.ofNat as.size
let rec @[specialize] map (i : USize) (r : Array NonScalar) : m (Array PNonScalar.{v}) := do
if i < sz then
let v := r.uget i lcProof
-- Replace r[i] by `box(0)`. This ensures that `v` remains unshared if possible.
-- Note: we assume that arrays have a uniform representation irrespective
-- of the element type, and that it is valid to store `box(0)` in any array.
let r := r.uset i default lcProof
let vNew ← f (unsafeCast v)
map (i+1) (r.uset i (unsafeCast vNew) lcProof)
else
pure (unsafeCast r)
unsafeCast <| map 0 (unsafeCast as)
/-- Reference implementation for `mapM` -/
@[implementedBy mapMUnsafe]
def mapM {α : Type u} {β : Type v} {m : Type v → Type w} [Monad m] (f : α → m β) (as : Array α) : m (Array β) :=
as.foldlM (fun bs a => do let b ← f a; pure (bs.push b)) (mkEmpty as.size)
@[inline]
def mapIdxM {α : Type u} {β : Type v} {m : Type v → Type w} [Monad m] (as : Array α) (f : Fin as.size → α → m β) : m (Array β) :=
let rec @[specialize] map (i : Nat) (j : Nat) (inv : i + j = as.size) (bs : Array β) : m (Array β) := do
match i, inv with
| 0, _ => pure bs
| i+1, inv =>
have : j < as.size := by
rw [← inv, Nat.add_assoc, Nat.add_comm 1 j, Nat.add_comm]
apply Nat.le_add_right
let idx : Fin as.size := ⟨j, this⟩
have : i + (j + 1) = as.size := by rw [← inv, Nat.add_comm j 1, Nat.add_assoc]
map i (j+1) this (bs.push (← f idx (as.get idx)))
map as.size 0 rfl (mkEmpty as.size)
@[inline]
def findSomeM? {α : Type u} {β : Type v} {m : Type v → Type w} [Monad m] (as : Array α) (f : α → m (Option β)) : m (Option β) := do
for a in as do
match (← f a) with
| some b => return b
| _ => pure ⟨⟩
return none
@[inline]
def findM? {α : Type} {m : Type → Type} [Monad m] (as : Array α) (p : α → m Bool) : m (Option α) := do
for a in as do
if (← p a) then
return a
return none
@[inline]
def findIdxM? [Monad m] (as : Array α) (p : α → m Bool) : m (Option Nat) := do
let mut i := 0
for a in as do
if (← p a) then
return some i
i := i + 1
return none
@[inline]
unsafe def anyMUnsafe {α : Type u} {m : Type → Type w} [Monad m] (p : α → m Bool) (as : Array α) (start := 0) (stop := as.size) : m Bool :=
let rec @[specialize] any (i : USize) (stop : USize) : m Bool := do
if i == stop then
pure false
else
if (← p (as.uget i lcProof)) then
pure true
else
any (i+1) stop
if start < stop then
if stop ≤ as.size then
any (USize.ofNat start) (USize.ofNat stop)
else
pure false
else
pure false
@[implementedBy anyMUnsafe]
def anyM {α : Type u} {m : Type → Type w} [Monad m] (p : α → m Bool) (as : Array α) (start := 0) (stop := as.size) : m Bool :=
let any (stop : Nat) (h : stop ≤ as.size) :=
let rec loop (j : Nat) : m Bool := do
if hlt : j < stop then
have : j < as.size := Nat.lt_of_lt_of_le hlt h
if (← p as[j]) then
pure true
else
loop (j+1)
else
pure false
loop start
if h : stop ≤ as.size then
any stop h
else
any as.size (Nat.le_refl _)
termination_by loop i j => stop - j
@[inline]
def allM {α : Type u} {m : Type → Type w} [Monad m] (p : α → m Bool) (as : Array α) (start := 0) (stop := as.size) : m Bool :=
return !(← as.anyM (start := start) (stop := stop) fun v => return !(← p v))
@[inline]
def findSomeRevM? {α : Type u} {β : Type v} {m : Type v → Type w} [Monad m] (as : Array α) (f : α → m (Option β)) : m (Option β) :=
let rec @[specialize] find : (i : Nat) → i ≤ as.size → m (Option β)
| 0, _ => pure none
| i+1, h => do
have : i < as.size := Nat.lt_of_lt_of_le (Nat.lt_succ_self _) h
let r ← f as[i]
match r with
| some _ => pure r
| none =>
have : i ≤ as.size := Nat.le_of_lt this
find i this
find as.size (Nat.le_refl _)
@[inline]
def findRevM? {α : Type} {m : Type → Type w} [Monad m] (as : Array α) (p : α → m Bool) : m (Option α) :=
as.findSomeRevM? fun a => return if (← p a) then some a else none
@[inline]
def forM {α : Type u} {m : Type v → Type w} [Monad m] (f : α → m PUnit) (as : Array α) (start := 0) (stop := as.size) : m PUnit :=
as.foldlM (fun _ => f) ⟨⟩ start stop
@[inline]
def forRevM {α : Type u} {m : Type v → Type w} [Monad m] (f : α → m PUnit) (as : Array α) (start := as.size) (stop := 0) : m PUnit :=
as.foldrM (fun a _ => f a) ⟨⟩ start stop
@[inline]
def foldl {α : Type u} {β : Type v} (f : β → α → β) (init : β) (as : Array α) (start := 0) (stop := as.size) : β :=
Id.run <| as.foldlM f init start stop
@[inline]
def foldr {α : Type u} {β : Type v} (f : α → β → β) (init : β) (as : Array α) (start := as.size) (stop := 0) : β :=
Id.run <| as.foldrM f init start stop
@[inline]
def map {α : Type u} {β : Type v} (f : α → β) (as : Array α) : Array β :=
Id.run <| as.mapM f
@[inline]
def mapIdx {α : Type u} {β : Type v} (as : Array α) (f : Fin as.size → α → β) : Array β :=
Id.run <| as.mapIdxM f
@[inline]
def find? {α : Type} (as : Array α) (p : α → Bool) : Option α :=
Id.run <| as.findM? p
@[inline]
def findSome? {α : Type u} {β : Type v} (as : Array α) (f : α → Option β) : Option β :=
Id.run <| as.findSomeM? f
@[inline]
def findSome! {α : Type u} {β : Type v} [Inhabited β] (a : Array α) (f : α → Option β) : β :=
match findSome? a f with
| some b => b
| none => panic! "failed to find element"
@[inline]
def findSomeRev? {α : Type u} {β : Type v} (as : Array α) (f : α → Option β) : Option β :=
Id.run <| as.findSomeRevM? f
@[inline]
def findRev? {α : Type} (as : Array α) (p : α → Bool) : Option α :=
Id.run <| as.findRevM? p
@[inline]
def findIdx? {α : Type u} (as : Array α) (p : α → Bool) : Option Nat :=
let rec loop (i : Nat) (j : Nat) (inv : i + j = as.size) : Option Nat :=
if hlt : j < as.size then
match i, inv with
| 0, inv => by
apply False.elim
rw [Nat.zero_add] at inv
rw [inv] at hlt
exact absurd hlt (Nat.lt_irrefl _)
| i+1, inv =>
if p as[j] then
some j
else
have : i + (j+1) = as.size := by
rw [← inv, Nat.add_comm j 1, Nat.add_assoc]
loop i (j+1) this
else
none
loop as.size 0 rfl
def getIdx? [BEq α] (a : Array α) (v : α) : Option Nat :=
a.findIdx? fun a => a == v
@[inline]
def any (as : Array α) (p : α → Bool) (start := 0) (stop := as.size) : Bool :=
Id.run <| as.anyM p start stop
@[inline]
def all (as : Array α) (p : α → Bool) (start := 0) (stop := as.size) : Bool :=
Id.run <| as.allM p start stop
def contains [BEq α] (as : Array α) (a : α) : Bool :=
as.any fun b => a == b
def elem [BEq α] (a : α) (as : Array α) : Bool :=
as.contains a
@[inline] def getEvenElems (as : Array α) : Array α :=
(·.2) <| as.foldl (init := (true, Array.empty)) fun (even, r) a =>
if even then
(false, r.push a)
else
(true, r)
@[export lean_array_to_list]
def toList (as : Array α) : List α :=
as.foldr List.cons []
instance {α : Type u} [Repr α] : Repr (Array α) where
reprPrec a _ :=
let _ : Std.ToFormat α := ⟨repr⟩
if a.size == 0 then
"#[]"
else
Std.Format.bracketFill "#[" (Std.Format.joinSep (toList a) ("," ++ Std.Format.line)) "]"
instance [ToString α] : ToString (Array α) where
toString a := "#" ++ toString a.toList
protected def append (as : Array α) (bs : Array α) : Array α :=
bs.foldl (init := as) fun r v => r.push v
instance : Append (Array α) := ⟨Array.append⟩
protected def appendList (as : Array α) (bs : List α) : Array α :=
bs.foldl (init := as) fun r v => r.push v
instance : HAppend (Array α) (List α) (Array α) := ⟨Array.appendList⟩
@[inline]
def concatMapM [Monad m] (f : α → m (Array β)) (as : Array α) : m (Array β) :=
as.foldlM (init := empty) fun bs a => do return bs ++ (← f a)
@[inline]
def concatMap (f : α → Array β) (as : Array α) : Array β :=
as.foldl (init := empty) fun bs a => bs ++ f a
end Array
export Array (mkArray)
syntax "#[" sepBy(term, ", ") "]" : term
macro_rules
| `(#[ $elems,* ]) => `(List.toArray [ $elems,* ])
namespace Array
-- TODO(Leo): cleanup
@[specialize]
def isEqvAux (a b : Array α) (hsz : a.size = b.size) (p : α → α → Bool) (i : Nat) : Bool :=
if h : i < a.size then
have : i < b.size := hsz ▸ h
p a[i] b[i] && isEqvAux a b hsz p (i+1)
else
true
termination_by _ => a.size - i
@[inline] def isEqv (a b : Array α) (p : α → α → Bool) : Bool :=
if h : a.size = b.size then
isEqvAux a b h p 0
else
false
instance [BEq α] : BEq (Array α) :=
⟨fun a b => isEqv a b BEq.beq⟩
@[inline]
def filter (p : α → Bool) (as : Array α) (start := 0) (stop := as.size) : Array α :=
as.foldl (init := #[]) (start := start) (stop := stop) fun r a =>
if p a then r.push a else r
@[inline]
def filterM [Monad m] (p : α → m Bool) (as : Array α) (start := 0) (stop := as.size) : m (Array α) :=
as.foldlM (init := #[]) (start := start) (stop := stop) fun r a => do
if (← p a) then return r.push a else return r
@[specialize]
def filterMapM [Monad m] (f : α → m (Option β)) (as : Array α) (start := 0) (stop := as.size) : m (Array β) :=
as.foldlM (init := #[]) (start := start) (stop := stop) fun bs a => do
match (← f a) with
| some b => pure (bs.push b)
| none => pure bs
@[inline]
def filterMap (f : α → Option β) (as : Array α) (start := 0) (stop := as.size) : Array β :=
Id.run <| as.filterMapM f (start := start) (stop := stop)
@[specialize]
def getMax? (as : Array α) (lt : α → α → Bool) : Option α :=
if h : 0 < as.size then
let a0 := as[0]
some <| as.foldl (init := a0) (start := 1) fun best a =>
if lt best a then a else best
else
none
@[inline]
def partition (p : α → Bool) (as : Array α) : Array α × Array α := Id.run do
let mut bs := #[]
let mut cs := #[]
for a in as do
if p a then
bs := bs.push a
else
cs := cs.push a
return (bs, cs)
theorem ext (a b : Array α)
(h₁ : a.size = b.size)
(h₂ : (i : Nat) → (hi₁ : i < a.size) → (hi₂ : i < b.size) → a[i] = b[i])
: a = b := by
let rec extAux (a b : List α)
(h₁ : a.length = b.length)
(h₂ : (i : Nat) → (hi₁ : i < a.length) → (hi₂ : i < b.length) → a.get ⟨i, hi₁⟩ = b.get ⟨i, hi₂⟩)
: a = b := by
induction a generalizing b with
| nil =>
cases b with
| nil => rfl
| cons b bs => rw [List.length_cons] at h₁; injection h₁
| cons a as ih =>
cases b with
| nil => rw [List.length_cons] at h₁; injection h₁
| cons b bs =>
have hz₁ : 0 < (a::as).length := by rw [List.length_cons]; apply Nat.zero_lt_succ
have hz₂ : 0 < (b::bs).length := by rw [List.length_cons]; apply Nat.zero_lt_succ
have headEq : a = b := h₂ 0 hz₁ hz₂
have h₁' : as.length = bs.length := by rw [List.length_cons, List.length_cons] at h₁; injection h₁; assumption
have h₂' : (i : Nat) → (hi₁ : i < as.length) → (hi₂ : i < bs.length) → as.get ⟨i, hi₁⟩ = bs.get ⟨i, hi₂⟩ := by
intro i hi₁ hi₂
have hi₁' : i+1 < (a::as).length := by rw [List.length_cons]; apply Nat.succ_lt_succ; assumption
have hi₂' : i+1 < (b::bs).length := by rw [List.length_cons]; apply Nat.succ_lt_succ; assumption
have : (a::as).get ⟨i+1, hi₁'⟩ = (b::bs).get ⟨i+1, hi₂'⟩ := h₂ (i+1) hi₁' hi₂'
apply this
have tailEq : as = bs := ih bs h₁' h₂'
rw [headEq, tailEq]
cases a; cases b
apply congrArg
apply extAux
assumption
assumption
theorem extLit {n : Nat}
(a b : Array α)
(hsz₁ : a.size = n) (hsz₂ : b.size = n)
(h : (i : Nat) → (hi : i < n) → a.getLit i hsz₁ hi = b.getLit i hsz₂ hi) : a = b :=
Array.ext a b (hsz₁.trans hsz₂.symm) fun i hi₁ _ => h i (hsz₁ ▸ hi₁)
end Array
-- CLEANUP the following code
namespace Array
def indexOfAux [BEq α] (a : Array α) (v : α) (i : Nat) : Option (Fin a.size) :=
if h : i < a.size then
let idx : Fin a.size := ⟨i, h⟩;
if a.get idx == v then some idx
else indexOfAux a v (i+1)
else none
termination_by _ => a.size - i
def indexOf? [BEq α] (a : Array α) (v : α) : Option (Fin a.size) :=
indexOfAux a v 0
@[simp] theorem size_swap (a : Array α) (i j : Fin a.size) : (a.swap i j).size = a.size := by
show ((a.set i (a.get j)).set (size_set a i _ ▸ j) (a.get i)).size = a.size
rw [size_set, size_set]
@[simp] theorem size_pop (a : Array α) : a.pop.size = a.size - 1 := by
match a with
| ⟨[]⟩ => rfl
| ⟨a::as⟩ => simp [pop, Nat.succ_sub_succ_eq_sub]
theorem reverse.termination {i j : Nat} (h : i < j) : j - 1 - (i + 1) < j - i := by
rw [Nat.sub_sub, Nat.add_comm]
exact Nat.lt_of_le_of_lt (Nat.pred_le _) (Nat.sub_succ_lt_self _ _ h)
def reverse (as : Array α) : Array α :=
if h : as.size ≤ 1 then
as
else
loop as 0 ⟨as.size - 1, Nat.pred_lt (mt (fun h : as.size = 0 => h ▸ by decide) h)⟩
where
loop (as : Array α) (i : Nat) (j : Fin as.size) :=
if h : i < j then
have := reverse.termination h
let as := as.swap ⟨i, Nat.lt_trans h j.2⟩ j
have : j-1 < as.size := by rw [size_swap]; exact Nat.lt_of_le_of_lt (Nat.pred_le _) j.2
loop as (i+1) ⟨j-1, this⟩
else
as
termination_by _ => j - i
def popWhile (p : α → Bool) (as : Array α) : Array α :=
if h : as.size > 0 then
if p (as.get ⟨as.size - 1, Nat.sub_lt h (by decide)⟩) then
popWhile p as.pop
else
as
else
as
termination_by popWhile as => as.size
def takeWhile (p : α → Bool) (as : Array α) : Array α :=
let rec go (i : Nat) (r : Array α) : Array α :=
if h : i < as.size then
let a := as.get ⟨i, h⟩
if p a then
go (i+1) (r.push a)
else
r
else
r
go 0 #[]
termination_by go i r => as.size - i
def eraseIdxAux (i : Nat) (a : Array α) : Array α :=
if h : i < a.size then
let idx : Fin a.size := ⟨i, h⟩;
let idx1 : Fin a.size := ⟨i - 1, by exact Nat.lt_of_le_of_lt (Nat.pred_le i) h⟩;
let a' := a.swap idx idx1
eraseIdxAux (i+1) a'
else
a.pop
termination_by _ => a.size - i
def feraseIdx (a : Array α) (i : Fin a.size) : Array α :=
eraseIdxAux (i.val + 1) a
def eraseIdx (a : Array α) (i : Nat) : Array α :=
if i < a.size then eraseIdxAux (i+1) a else a
def eraseIdxSzAux (a : Array α) (i : Nat) (r : Array α) (heq : r.size = a.size) : { r : Array α // r.size = a.size - 1 } :=
if h : i < r.size then
let idx : Fin r.size := ⟨i, h⟩;
let idx1 : Fin r.size := ⟨i - 1, by exact Nat.lt_of_le_of_lt (Nat.pred_le i) h⟩;
eraseIdxSzAux a (i+1) (r.swap idx idx1) ((size_swap r idx idx1).trans heq)
else
⟨r.pop, (size_pop r).trans (heq ▸ rfl)⟩
termination_by _ => r.size - i
def eraseIdx' (a : Array α) (i : Fin a.size) : { r : Array α // r.size = a.size - 1 } :=
eraseIdxSzAux a (i.val + 1) a rfl
def erase [BEq α] (as : Array α) (a : α) : Array α :=
match as.indexOf? a with
| none => as
| some i => as.feraseIdx i
/-- Insert element `a` at position `i`. -/
@[inline] def insertAt (as : Array α) (i : Fin (as.size + 1)) (a : α) : Array α :=
let rec loop (as : Array α) (j : Fin as.size) :=
if i.1 < j then
let j' := ⟨j-1, Nat.lt_of_le_of_lt (Nat.pred_le _) j.2⟩
let as := as.swap j' j
loop as ⟨j', by rw [size_swap]; exact j'.2⟩
else
as
let j := as.size
let as := as.push a
loop as ⟨j, size_push .. ▸ j.lt_succ_self⟩
termination_by loop j => j.1
/-- Insert element `a` at position `i`. Panics if `i` is not `i ≤ as.size`. -/
def insertAt! (as : Array α) (i : Nat) (a : α) : Array α :=
if h : i ≤ as.size then
insertAt as ⟨i, Nat.lt_succ_of_le h⟩ a
else panic! "invalid index"
def toListLitAux (a : Array α) (n : Nat) (hsz : a.size = n) : ∀ (i : Nat), i ≤ a.size → List α → List α
| 0, _, acc => acc
| (i+1), hi, acc => toListLitAux a n hsz i (Nat.le_of_succ_le hi) (a.getLit i hsz (Nat.lt_of_lt_of_eq (Nat.lt_of_lt_of_le (Nat.lt_succ_self i) hi) hsz) :: acc)
def toArrayLit (a : Array α) (n : Nat) (hsz : a.size = n) : Array α :=
List.toArray <| toListLitAux a n hsz n (hsz ▸ Nat.le_refl _) []
theorem ext' {as bs : Array α} (h : as.data = bs.data) : as = bs := by
cases as; cases bs; simp at h; rw [h]
theorem toArrayAux_eq (as : List α) (acc : Array α) : (as.toArrayAux acc).data = acc.data ++ as := by
induction as generalizing acc <;> simp [*, List.toArrayAux, Array.push, List.append_assoc, List.concat_eq_append]
theorem data_toArray (as : List α) : as.toArray.data = as := by
simp [List.toArray, toArrayAux_eq, Array.mkEmpty]
theorem toArrayLit_eq (as : Array α) (n : Nat) (hsz : as.size = n) : as = toArrayLit as n hsz := by
apply ext'
simp [toArrayLit, data_toArray]
have hle : n ≤ as.size := hsz ▸ Nat.le_refl _
have hge : as.size ≤ n := hsz ▸ Nat.le_refl _
have := go n hle
rw [List.drop_eq_nil_of_le hge] at this
rw [this]
where
getLit_eq (as : Array α) (i : Nat) (h₁ : as.size = n) (h₂ : i < n) : as.getLit i h₁ h₂ = getElem as.data i ((id (α := as.data.length = n) h₁) ▸ h₂) :=
rfl
go (i : Nat) (hi : i ≤ as.size) : toListLitAux as n hsz i hi (as.data.drop i) = as.data := by
cases i <;> simp [getLit_eq, List.get_drop_eq_drop, toListLitAux, List.drop, go]
def isPrefixOfAux [BEq α] (as bs : Array α) (hle : as.size ≤ bs.size) (i : Nat) : Bool :=
if h : i < as.size then
let a := as[i]
have : i < bs.size := Nat.lt_of_lt_of_le h hle
let b := bs[i]
if a == b then
isPrefixOfAux as bs hle (i+1)
else
false
else
true
termination_by _ => as.size - i
/-- Return true iff `as` is a prefix of `bs`.
That is, `bs = as ++ t` for some `t : List α`.-/
def isPrefixOf [BEq α] (as bs : Array α) : Bool :=
if h : as.size ≤ bs.size then
isPrefixOfAux as bs h 0
else
false
private def allDiffAuxAux [BEq α] (as : Array α) (a : α) : forall (i : Nat), i < as.size → Bool
| 0, _ => true
| i+1, h =>
have : i < as.size := Nat.lt_trans (Nat.lt_succ_self _) h;
a != as[i] && allDiffAuxAux as a i this
private def allDiffAux [BEq α] (as : Array α) (i : Nat) : Bool :=
if h : i < as.size then
allDiffAuxAux as as[i] i h && allDiffAux as (i+1)
else
true
termination_by _ => as.size - i
def allDiff [BEq α] (as : Array α) : Bool :=
allDiffAux as 0
@[specialize] def zipWithAux (f : α → β → γ) (as : Array α) (bs : Array β) (i : Nat) (cs : Array γ) : Array γ :=
if h : i < as.size then
let a := as[i]
if h : i < bs.size then
let b := bs[i]
zipWithAux f as bs (i+1) <| cs.push <| f a b
else
cs
else
cs
termination_by _ => as.size - i
@[inline] def zipWith (as : Array α) (bs : Array β) (f : α → β → γ) : Array γ :=
zipWithAux f as bs 0 #[]
def zip (as : Array α) (bs : Array β) : Array (α × β) :=
zipWith as bs Prod.mk
def unzip (as : Array (α × β)) : Array α × Array β :=
as.foldl (init := (#[], #[])) fun (as, bs) (a, b) => (as.push a, bs.push b)
def split (as : Array α) (p : α → Bool) : Array α × Array α :=
as.foldl (init := (#[], #[])) fun (as, bs) a =>
if p a then (as.push a, bs) else (as, bs.push a)
end Array
|
4ec02513a183354f3513a9a2d5de201d9768f21c | 82b86ba2ae0d5aed0f01f49c46db5afec0eb2bd7 | /stage0/src/Lean/Data/Options.lean | 4ff4039cfd7bd9099d792de9d078b58f41571f80 | [
"Apache-2.0"
] | permissive | banksonian/lean4 | 3a2e6b0f1eb63aa56ff95b8d07b2f851072d54dc | 78da6b3aa2840693eea354a41e89fc5b212a5011 | refs/heads/master | 1,673,703,624,165 | 1,605,123,551,000 | 1,605,123,551,000 | null | 0 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 3,869 | lean | /-
Copyright (c) 2018 Microsoft Corporation. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Sebastian Ullrich and Leonardo de Moura
-/
import Lean.Data.KVMap
namespace Lean
def Options := KVMap
def Options.empty : Options := {}
instance : Inhabited Options := ⟨Options.empty⟩
instance : ToString Options := inferInstanceAs (ToString KVMap)
structure OptionDecl :=
(defValue : DataValue)
(group : String := "")
(descr : String := "")
def OptionDecls := NameMap OptionDecl
instance : Inhabited OptionDecls := ⟨({} : NameMap OptionDecl)⟩
private def initOptionDeclsRef : IO (IO.Ref OptionDecls) :=
IO.mkRef (mkNameMap OptionDecl)
@[builtinInit initOptionDeclsRef]
private constant optionDeclsRef : IO.Ref OptionDecls := arbitrary _
@[export lean_register_option]
def registerOption (name : Name) (decl : OptionDecl) : IO Unit := do
let decls ← optionDeclsRef.get
if decls.contains name then
throw $ IO.userError s!"invalid option declaration '{name}', option already exists"
optionDeclsRef.set $ decls.insert name decl
def getOptionDecls : IO OptionDecls := optionDeclsRef.get
@[export lean_get_option_decls_array]
def getOptionDeclsArray : IO (Array (Name × OptionDecl)) := do
let decls ← getOptionDecls
pure $ decls.fold
(fun (r : Array (Name × OptionDecl)) k v => r.push (k, v))
#[]
def getOptionDecl (name : Name) : IO OptionDecl := do
let decls ← getOptionDecls
let (some decl) ← pure (decls.find? name) | throw $ IO.userError s!"unknown option '{name}'"
pure decl
def getOptionDefaulValue (name : Name) : IO DataValue := do
let decl ← getOptionDecl name
pure decl.defValue
def getOptionDescr (name : Name) : IO String := do
let decl ← getOptionDecl name
pure decl.descr
def setOptionFromString (opts : Options) (entry : String) : IO Options := do
let ps := (entry.splitOn "=").map String.trim
let [key, val] ← pure ps | throw $ IO.userError "invalid configuration option entry, it must be of the form '<key> = <value>'"
let key := Name.mkSimple key
let defValue ← getOptionDefaulValue key
match defValue with
| DataValue.ofString v => pure $ opts.setString key val
| DataValue.ofBool v =>
if key == `true then pure $ opts.setBool key true
else if key == `false then pure $ opts.setBool key false
else throw $ IO.userError s!"invalid Bool option value '{val}'"
| DataValue.ofName v => pure $ opts.setName key val.toName
| DataValue.ofNat v =>
match val.toNat? with
| none => throw (IO.userError s!"invalid Nat option value '{val}'")
| some v => pure $ opts.setNat key v
| DataValue.ofInt v =>
match val.toInt? with
| none => throw (IO.userError s!"invalid Int option value '{val}'")
| some v => pure $ opts.setInt key v
builtin_initialize
registerOption `verbose {
defValue := true,
group := "",
descr := "disable/enable verbose messages"
}
registerOption `timeout {
defValue := DataValue.ofNat 0,
group := "",
descr := "the (deterministic) timeout is measured as the maximum of memory allocations (in thousands) per task, the default is unbounded"
}
registerOption `maxMemory {
defValue := DataValue.ofNat 2048,
group := "",
descr := "maximum amount of memory available for Lean in megabytes"
}
class MonadOptions (m : Type → Type) :=
(getOptions : m Options)
export MonadOptions (getOptions)
instance (m n) [MonadOptions m] [MonadLift m n] : MonadOptions n :=
{ getOptions := liftM (getOptions : m _) }
variables {m} [Monad m] [MonadOptions m]
def getBoolOption (k : Name) (defValue := false) : m Bool := do
let opts ← getOptions
pure $ opts.getBool k defValue
def getNatOption (k : Name) (defValue := 0) : m Nat := do
let opts ← getOptions
pure $ opts.getNat k defValue
end Lean
|
d238bcdc9ce3d66d17a6449f9192e57e92b8d392 | 367134ba5a65885e863bdc4507601606690974c1 | /src/linear_algebra/dfinsupp.lean | daf207fbfc84046e3b33ec31dd2cfeff8cff3ed2 | [
"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 | 5,002 | lean | /-
Copyright (c) 2018 Kenny Lau. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Author: Johannes Hölzl, Kenny Lau
-/
import data.dfinsupp
import linear_algebra.basic
/-!
# Properties of the semimodule `Π₀ i, M i`
Given an indexed collection of `R`-semimodules `M i`, the `R`-semimodule structure on `Π₀ i, M i`
is defined in `data.dfinsupp`.
In this file we define `linear_map` versions of various maps:
* `dfinsupp.lsingle a : M →ₗ[R] Π₀ i, M i`: `dfinsupp.single a` as a linear map;
* `dfinsupp.lmk s : (Π i : (↑s : set ι), M i) →ₗ[R] Π₀ i, M i`: `dfinsupp.single a` as a linear map;
* `dfinsupp.lapply i : (Π₀ i, M i) →ₗ[R] M`: the map `λ f, f i` as a linear map;
* `dfinsupp.lsum`: `dfinsupp.sum` or `dfinsupp.lift_add_hom` as a `linear_map`;
## Implementation notes
This file should try to mirror `linear_algebra.finsupp` where possible. The API of `finsupp` is
much more developed, but many lemmas in that file should be eligible to copy over.
## Tags
function with finite support, semimodule, linear algebra
-/
variables {ι : Type*} {R : Type*} {S : Type*} {M : ι → Type*} {N : Type*}
variables [dec_ι : decidable_eq ι]
variables [semiring R] [Π i, add_comm_monoid (M i)] [Π i, semimodule R (M i)]
variables [add_comm_monoid N] [semimodule R N]
namespace dfinsupp
include dec_ι
/-- `dfinsupp.mk` as a `linear_map`. -/
def lmk (s : finset ι) : (Π i : (↑s : set ι), M i) →ₗ[R] Π₀ i, M i :=
⟨mk s, λ _ _, mk_add, λ c x, by rw [mk_smul R x]⟩
/-- `dfinsupp.single` as a `linear_map` -/
def lsingle (i) : M i →ₗ[R] Π₀ i, M i :=
⟨single i, λ _ _, single_add, λ _ _, single_smul _⟩
/-- Two `R`-linear maps from `Π₀ i, M i` which agree on each `single i x` agree everywhere. -/
lemma lhom_ext ⦃φ ψ : (Π₀ i, M i) →ₗ[R] N⦄
(h : ∀ i x, φ (single i x) = ψ (single i x)) :
φ = ψ :=
linear_map.to_add_monoid_hom_injective $ add_hom_ext h
/-- Two `R`-linear maps from `Π₀ i, M i` which agree on each `single i x` agree everywhere.
See note [partially-applied ext lemmas].
After apply this lemma, if `M = R` then it suffices to verify `φ (single a 1) = ψ (single a 1)`. -/
@[ext] lemma lhom_ext' ⦃φ ψ : (Π₀ i, M i) →ₗ[R] N⦄
(h : ∀ i, φ.comp (lsingle i) = ψ.comp (lsingle i)) :
φ = ψ :=
lhom_ext $ λ i, linear_map.congr_fun (h i)
omit dec_ι
/-- Interpret `λ (f : Π₀ i, M i), f i` as a linear map. -/
def lapply (i : ι) : (Π₀ i, M i) →ₗ[R] M i :=
{ to_fun := λ f, f i,
map_add' := λ f g, add_apply f g i,
map_smul' := λ c f, smul_apply c f i}
include dec_ι
@[simp] lemma lmk_apply (s : finset ι) (x) : (lmk s : _ →ₗ[R] Π₀ i, M i) x = mk s x := rfl
@[simp] lemma lsingle_apply (i : ι) (x : M i) : (lsingle i : _ →ₗ[R] _) x = single i x := rfl
omit dec_ι
@[simp] lemma lapply_apply (i : ι) (f : Π₀ i, M i) : (lapply i : _ →ₗ[R] _) f = f i := rfl
section lsum
/-- Typeclass inference can't find `dfinsupp.add_comm_monoid` without help for this case.
This instance allows it to be found where it is needed on the LHS of the colon in
`dfinsupp.semimodule_of_linear_map`. -/
instance add_comm_monoid_of_linear_map : add_comm_monoid (Π₀ (i : ι), M i →ₗ[R] N) :=
@dfinsupp.add_comm_monoid _ (λ i, M i →ₗ[R] N) _
/-- Typeclass inference can't find `dfinsupp.semimodule` without help for this case.
This is needed to define `dfinsupp.lsum` below.
The cause seems to be an inability to unify the `Π i, add_comm_monoid (M i →ₗ[R] N)` instance that
we have with the `Π i, has_zero (M i →ₗ[R] N)` instance which appears as a parameter to the
`dfinsupp` type. -/
instance semimodule_of_linear_map [semiring S] [semimodule S N] [smul_comm_class R S N] :
semimodule S (Π₀ (i : ι), M i →ₗ[R] N) :=
@dfinsupp.semimodule _ (λ i, M i →ₗ[R] N) _ _ _ _
variables (S)
include dec_ι
/-- The `dfinsupp` version of `finsupp.lsum`.
See note [bundled maps over different rings] for why separate `R` and `S` semirings are used. -/
@[simps apply symm_apply]
def lsum [semiring S] [semimodule S N] [smul_comm_class R S N] :
(Π i, M i →ₗ[R] N) ≃ₗ[S] ((Π₀ i, M i) →ₗ[R] N) :=
{ to_fun := λ F, {
to_fun := sum_add_hom (λ i, (F i).to_add_monoid_hom),
map_add' := (lift_add_hom (λ i, (F i).to_add_monoid_hom)).map_add,
map_smul' := λ c f, by {
apply dfinsupp.induction f,
{ rw [smul_zero, add_monoid_hom.map_zero, smul_zero] },
{ intros a b f ha hb hf,
rw [smul_add, add_monoid_hom.map_add, add_monoid_hom.map_add, smul_add, hf, ←single_smul,
sum_add_hom_single, sum_add_hom_single, linear_map.to_add_monoid_hom_coe,
linear_map.map_smul], } } },
inv_fun := λ F i, F.comp (lsingle i),
left_inv := λ F, by { ext x y, simp },
right_inv := λ F, by { ext x y, simp },
map_add' := λ F G, by { ext x y, simp },
map_smul' := λ c F, by { ext, simp } }
end lsum
end dfinsupp
|
0547fbbd60efce3adebd345f488ea77731405779 | 8eeb99d0fdf8125f5d39a0ce8631653f588ee817 | /src/topology/metric_space/emetric_space.lean | 9fd8384ae39ff845eaf8e459d4b318e1ee0bddee | [
"Apache-2.0"
] | permissive | jesse-michael-han/mathlib | a15c58378846011b003669354cbab7062b893cfe | fa6312e4dc971985e6b7708d99a5bc3062485c89 | refs/heads/master | 1,625,200,760,912 | 1,602,081,753,000 | 1,602,081,753,000 | 181,787,230 | 0 | 0 | null | 1,555,460,682,000 | 1,555,460,682,000 | null | UTF-8 | Lean | false | false | 39,563 | 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.real.ennreal
import data.finset.intervals
import topology.uniform_space.uniform_embedding
import topology.uniform_space.pi
import topology.uniform_space.uniform_convergence
/-!
# 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 `ennreal`.
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`).
-/
open set filter classical
noncomputable theory
open_locale uniformity topological_space big_operators filter
universes u v w
variables {α : Type u} {β : Type v} {γ : Type w}
/-- 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_sets ε $ mem_infi_sets ε0 $ mem_principal_sets.2 $ λ ⟨a, b⟩, h)
class has_edist (α : Type*) := (edist : α → α → ennreal)
export has_edist (edist)
/-- Creating a uniform space from an extended distance. -/
def uniform_space_of_edist
(edist : α → α → ennreal)
(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 : ennreal) = (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_sets (ε / 2) $ mem_infi_sets 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 metric spaces, with an extended distance `edist` possibly taking the
value ∞
Each 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 an `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 an `emetric_space` structure
on a product.
Continuity of `edist` is proved in `topology.instances.ennreal`
-/
class emetric_space (α : Type u) extends has_edist α : Type u :=
(edist_self : ∀ x : α, edist x x = 0)
(eq_of_edist_eq_zero : ∀ {x y : α}, edist x y = 0 → x = y)
(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)
/- emetric 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 [emetric_space α]
@[priority 100] -- see Note [lower instance priority]
instance emetric_space.to_uniform_space' : uniform_space α :=
emetric_space.to_uniform_space
export emetric_space (edist_self eq_of_edist_eq_zero edist_comm edist_triangle)
attribute [simp] edist_self
/-- Characterize the equality of points by the vanishing of their extended distance -/
@[simp] theorem edist_eq_zero {x y : α} : 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 : α} : 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 : α} : (edist x y ≤ 0) ↔ x = y :=
le_zero_iff_eq.trans edist_eq_zero
/-- 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_eq_empty, edist_self],
-- TODO: Why doesn't Lean close this goal automatically? `apply le_refl` fails too.
exact le_refl (0:ennreal) },
{ 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_refl _)
... = ∑ i in finset.Ico m (n+1), _ :
by rw [finset.Ico.succ_top 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)) :=
finset.Ico.zero_bot n ▸ 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 → ennreal} (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.Ico.mem.1 hk).1 (finset.Ico.mem.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 → ennreal} (hd : ∀ {k}, k < n → edist (f k) (f (k + 1)) ≤ d k) :
edist (f 0) (f n) ≤ ∑ i in finset.range n, d i :=
finset.Ico.zero_bot n ▸ edist_le_Ico_sum_of_edist_le (zero_le n) (λ _ _, hd)
/-- Two points coincide if their distance is `< ε` for all positive ε -/
theorem eq_of_forall_edist_le {x y : α} (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)
/-- Reformulation of the uniform structure in terms of the extended distance -/
theorem uniformity_edist :
𝓤 α = ⨅ ε>0, 𝓟 {p:α×α | edist p.1 p.2 < ε} :=
emetric_space.uniformity_edist
theorem uniformity_basis_edist :
(𝓤 α).has_basis (λ ε : ennreal, 0 < ε) (λ ε, {p:α×α | edist p.1 p.2 < ε}) :=
(@uniformity_edist 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 → ennreal`, 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 → ennreal}
(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 → ennreal`, 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 → ennreal}
(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 : ennreal, 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' : ennreal) (hε' : 0 < ε') :
(𝓤 α).has_basis (λ ε : ennreal, 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' : ennreal) (hε' : 0 < ε') :
(𝓤 α).has_basis (λ ε : ennreal, 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 : nnreal, 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_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⟩)
/-- Fixed size neighborhoods of the diagonal belong to the uniform structure -/
theorem edist_mem_uniformity {ε:ennreal} (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
theorem uniformity_has_countable_basis : 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 emetric spaces -/
theorem uniform_continuous_on_iff [emetric_space β] {f : α → β} {s : set α} :
uniform_continuous_on f s ↔ ∀ ε > 0, ∃ δ > 0,
∀{a b}, a ∈ s → 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 emetric spaces -/
theorem uniform_continuous_iff [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 emetric spaces -/
theorem uniform_embedding_iff [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)⟩⟩
/-- 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 : 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
split,
{ assume h,
exact ⟨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 ⟨_, 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
/-- ε-δ characterization of Cauchy sequences on emetric spaces -/
protected lemma cauchy_iff {f : filter α} :
cauchy f ↔ f ≠ ⊥ ∧ ∀ ε > 0, ∃ t ∈ f, ∀ x y ∈ t, edist x y < ε :=
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 → ennreal) (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
uniformity_has_countable_basis
(λ n, {p:α×α | edist p.1 p.2 < B n}) (λ n, edist_mem_uniformity $ hB n) H
/-- A sequentially complete emetric 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 uniformity_has_countable_basis
/-- 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
/-- An emetric space is separated -/
@[priority 100] -- see Note [lower instance priority]
instance to_separated : separated_space α :=
separated_def.2 $ λ x y h, eq_of_forall_edist_le $
λ ε ε0, le_of_lt (h _ (edist_mem_uniformity ε0))
/-- 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 {α} [U : uniform_space α] (m : emetric_space α)
(H : @uniformity _ U = @uniformity _ emetric_space.to_uniform_space) :
emetric_space α :=
{ 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 (@emetric_space.uniformity_edist α _) }
/-- The extended metric induced by an injective function taking values in an emetric space. -/
def emetric_space.induced {α β} (f : α → β) (hf : function.injective f)
(m : emetric_space β) : emetric_space α :=
{ 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_sets.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} [t : emetric_space α] : emetric_space (subtype p) :=
t.induced coe (λ x y, subtype.ext_iff_val.2)
/-- The extended distance on a subset of an emetric space is the restriction of
the original distance, by definition -/
theorem subtype.edist_eq {p : α → Prop} (x y : subtype p) : edist x y = edist (x : α) y := rfl
/-- 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 (α × β) :=
{ edist := λ x y, max (edist x.1 y.1) (edist x.2 y.2),
edist_self := λ x, by simp,
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,
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 [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 [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 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) :=
{ 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,
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,
to_uniform_space := Pi.uniform_space _,
uniformity_edist := begin
simp only [Pi.uniformity, 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 }
end pi
namespace emetric
variables {x y z : α} {ε ε₁ ε₂ : ennreal} {s : set α}
/-- `emetric.ball x ε` is the set of all points `y` with `edist y x < ε` -/
def ball (x : α) (ε : ennreal) : 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; refl
/-- `emetric.closed_ball x ε` is the set of all points `y` with `edist y x ≤ ε` -/
def closed_ball (x : α) (ε : ennreal) := {y | edist y x ≤ ε}
@[simp] theorem mem_closed_ball : y ∈ closed_ball x ε ↔ edist y x ≤ ε := iff.rfl
theorem ball_subset_closed_ball : ball x ε ⊆ closed_ball x ε :=
assume y, by simp; intros h; apply le_of_lt h
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 simp [edist_comm]
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) : ball x ε₁ ∩ ball y ε₂ = ∅ :=
eq_empty_iff_forall_not_mem.2 $ λ z ⟨h₁, h₂⟩,
not_lt_of_le (edist_triangle_left x y z)
(lt_of_lt_of_le (ennreal.add_lt_add h₁ h₂) 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_iff_left h').2 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 _ _⟩,
{ rw ennreal.add_sub_cancel_of_le (le_of_lt h), apply le_refl _},
{ have : edist y x ≠ ⊤ := ne_top_of_lt h, apply lt_top_iff_ne_top.2 this }
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)⟩
/-- 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:ennreal, 0 < ε) (ball x) :=
nhds_basis_uniformity uniformity_basis_edist
theorem nhds_basis_closed_eball : (𝓝 x).has_basis (λ ε:ennreal, 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_iff.2 $ λ y hy, ⟨⊤, ennreal.coe_lt_top, subset_compl_iff_disjoint.2 $
ball_disjoint $ by { rw ennreal.top_add, exact le_of_not_lt hy }⟩
theorem ball_mem_nhds (x : α) {ε : ennreal} (ε0 : 0 < ε) : ball x ε ∈ 𝓝 x :=
mem_nhds_sets is_open_ball (mem_ball_self ε0)
/-- ε-characterization of the closure in emetric 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]
/-- In an emetric space, Cauchy sequences are characterized by the fact that, eventually,
the edistance 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 : ennreal), ∃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
`nnreal` upper bounds. -/
theorem cauchy_seq_iff_nnreal [nonempty β] [semilattice_sup β] {u : β → α} :
cauchy_seq u ↔ ∀ ε : nnreal, 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, finite t ∧ 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, subset.trans h $ Union_subset_Union $ λ y, Union_subset_Union $ λ yt z, hε⟩⟩
theorem totally_bounded_iff' {s : set α} :
totally_bounded s ↔ ∀ ε > 0, ∃t⊆s, 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, subset.trans h $ Union_subset_Union $ λ y, Union_subset_Union $ λ yt z, hε⟩⟩
section compact
/-- A compact set in an emetric space is separable, i.e., it is the closure of a countable set -/
lemma countable_closure_of_compact {α : Type u} [emetric_space α] {s : set α} (hs : is_compact s) :
∃ t ⊆ s, (countable t ∧ s = closure t) :=
begin
have A : ∀ (e:ennreal), e > 0 → ∃ t ⊆ s, (finite t ∧ s ⊆ (⋃x∈t, ball x e)) :=
totally_bounded_iff'.1 (compact_iff_totally_bounded_complete.1 hs).1,
-- assume e, finite_cover_balls_of_compact hs,
have B : ∀ (e:ennreal), ∃ t ⊆ s, finite t ∧ (e > 0 → s ⊆ (⋃x∈t, ball x e)),
{ intro e,
cases le_or_gt e 0 with h,
{ exact ⟨∅, by finish⟩ },
{ rcases A e h with ⟨s, ⟨finite_s, closure_s⟩⟩, existsi s, finish }},
/-The desired countable set is obtained by taking for each `n` the centers of a finite cover
by balls of radius `1/n`, and then the union over `n`. -/
choose T T_in_s finite_T using B,
let t := ⋃n:ℕ, T n⁻¹,
have T₁ : t ⊆ s := begin apply Union_subset, assume n, apply T_in_s end,
have T₂ : countable t := by finish [countable_Union, finite.countable],
have T₃ : s ⊆ closure t,
{ intros x x_in_s,
apply mem_closure_iff.2,
intros ε εpos,
rcases ennreal.exists_inv_nat_lt (bot_lt_iff_ne_bot.1 εpos) with ⟨n, hn⟩,
have inv_n_pos : (0 : ennreal) < (n : ℕ)⁻¹ := by simp [ennreal.bot_lt_iff_ne_bot],
have C : x ∈ (⋃y∈ T (n : ℕ)⁻¹, ball y (n : ℕ)⁻¹) :=
mem_of_mem_of_subset x_in_s ((finite_T (n : ℕ)⁻¹).2 inv_n_pos),
rcases mem_Union.1 C with ⟨y, _, ⟨y_in_T, rfl⟩, Dxy⟩,
simp at Dxy, -- Dxy : edist x y < 1 / ↑n
have : y ∈ t := mem_of_mem_of_subset y_in_T (by apply subset_Union (λ (n:ℕ), T (n : ℕ)⁻¹)),
have : edist x y < ε := lt_trans Dxy hn,
exact ⟨y, ‹y ∈ t›, ‹edist x y < ε›⟩ },
have T₄ : closure t ⊆ s := calc
closure t ⊆ closure s : closure_mono T₁
... = s : hs.is_closed.closure_eq,
exact ⟨t, ⟨T₁, T₂, subset.antisymm T₃ T₄⟩⟩
end
end compact
section first_countable
@[priority 100] -- see Note [lower instance priority]
instance (α : Type u) [emetric_space α] :
topological_space.first_countable_topology α :=
uniform_space.first_countable_topology uniformity_has_countable_basis
end first_countable
section second_countable
open topological_space
/-- A separable emetric space is second countable: one obtains a countable basis by taking
the balls centered at points in a dense subset, and with rational radii. We do not register
this as an instance, as there is already an instance going in the other direction
from second countable spaces to separable spaces, and we want to avoid loops. -/
lemma second_countable_of_separable (α : Type u) [emetric_space α] [separable_space α] :
second_countable_topology α :=
let ⟨S, ⟨S_countable, S_dense⟩⟩ := separable_space.exists_countable_closure_eq_univ in
⟨⟨⋃x ∈ S, ⋃ (n : nat), {ball x (n⁻¹)},
⟨show countable ⋃x ∈ S, ⋃ (n : nat), {ball x (n⁻¹)},
{ apply S_countable.bUnion,
intros a aS,
apply countable_Union,
simp },
show uniform_space.to_topological_space = generate_from (⋃x ∈ S, ⋃ (n : nat), {ball x (n⁻¹)}),
{ have A : ∀ (u : set α), (u ∈ ⋃x ∈ S, ⋃ (n : nat), ({ball x ((n : ennreal)⁻¹)} : set (set α))) → is_open u,
{ simp only [and_imp, exists_prop, set.mem_Union, set.mem_singleton_iff, exists_imp_distrib],
intros u x hx i u_ball,
rw [u_ball],
exact is_open_ball },
have B : is_topological_basis (⋃x ∈ S, ⋃ (n : nat), ({ball x (n⁻¹)} : set (set α))),
{ refine is_topological_basis_of_open_of_nhds A (λa u au open_u, _),
rcases is_open_iff.1 open_u a au with ⟨ε, εpos, εball⟩,
have : ε / 2 > 0 := ennreal.half_pos εpos,
/- The ball `ball a ε` is included in `u`. We need to find one of our balls `ball x (n⁻¹)`
containing `a` and contained in `ball a ε`. For this, we take `n` larger than `2/ε`, and
then `x` in `S` at distance at most `n⁻¹` of `a` -/
rcases ennreal.exists_inv_nat_lt (bot_lt_iff_ne_bot.1 (ennreal.half_pos εpos)) with ⟨n, εn⟩,
have : (0 : ennreal) < n⁻¹ := by simp [ennreal.bot_lt_iff_ne_bot],
have : (a : α) ∈ closure (S : set α) := by rw [S_dense]; simp,
rcases mem_closure_iff.1 this _ ‹(0 : ennreal) < n⁻¹› with ⟨x, xS, xdist⟩,
existsi ball x (↑n)⁻¹,
have I : ball x (n⁻¹) ⊆ ball a ε := λy ydist, calc
edist y a = edist a y : edist_comm _ _
... ≤ edist a x + edist y x : edist_triangle_right _ _ _
... < n⁻¹ + n⁻¹ : ennreal.add_lt_add xdist ydist
... < ε/2 + ε/2 : ennreal.add_lt_add εn εn
... = ε : ennreal.add_halves _,
simp only [emetric.mem_ball, exists_prop, set.mem_Union, set.mem_singleton_iff],
exact ⟨⟨x, ⟨xS, ⟨n, rfl⟩⟩⟩, ⟨by simpa, subset.trans I εball⟩⟩ },
exact B.2.2 }⟩⟩⟩
end second_countable
section diam
/-- The diameter of a set in an emetric space, named `emetric.diam` -/
def diam (s : set α) := ⨆ (x ∈ s) (y ∈ s), edist x y
lemma diam_le_iff_forall_edist_le {d : ennreal} :
diam s ≤ d ↔ ∀ (x ∈ s) (y ∈ s), edist x y ≤ d :=
by simp only [diam, supr_le_iff]
/-- 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 :=
diam_le_iff_forall_edist_le.1 (le_refl _) x hx y hy
/-- If the distance between any two points in a set is bounded by some constant, this constant
bounds the diameter. -/
lemma diam_le_of_forall_edist_le {d : ennreal} (h : ∀ (x ∈ s) (y ∈ s), edist x y ≤ d) :
diam s ≤ d :=
diam_le_iff_forall_edist_le.2 h
/-- The diameter of a subsingleton vanishes. -/
lemma diam_subsingleton (hs : s.subsingleton) : diam s = 0 :=
le_zero_iff_eq.1 $ diam_le_of_forall_edist_le $
λ x hx y hy, (hs hx hy).symm ▸ edist_self y ▸ le_refl _
/-- 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_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 :=
begin
have := not_congr (@diam_eq_zero_iff _ _ s),
dunfold set.subsingleton at this,
push_neg at this,
simpa only [zero_lt_iff_ne_zero, exists_prop] using this
end
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_forall_edist_le, 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_of_forall_edist_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_refl _)) (edist_le_diam_of_mem yt hb),
refine diam_le_of_forall_edist_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_add_right (le_refl _)
... = diam s + edist x y + diam t : by simp only [add_comm, eq_self_iff_true, add_left_comm] },
{ 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_left (le_refl _) }
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 : ennreal} : diam (closed_ball x r) ≤ 2 * r :=
diam_le_of_forall_edist_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 : by simp [mul_two, mul_comm]
lemma diam_ball {r : ennreal} : diam (ball x r) ≤ 2 * r :=
le_trans (diam_mono ball_subset_closed_ball) diam_closed_ball
end diam
end emetric --namespace
|
8112267d477e34ab1c8a1644fe954e2d7487c236 | 46125763b4dbf50619e8846a1371029346f4c3db | /src/data/fin_enum.lean | e9c44fc7711e7c697d70a739d5b36e87f710102b | [
"Apache-2.0"
] | permissive | thjread/mathlib | a9d97612cedc2c3101060737233df15abcdb9eb1 | 7cffe2520a5518bba19227a107078d83fa725ddc | refs/heads/master | 1,615,637,696,376 | 1,583,953,063,000 | 1,583,953,063,000 | 246,680,271 | 0 | 0 | Apache-2.0 | 1,583,960,875,000 | 1,583,960,875,000 | null | UTF-8 | Lean | false | false | 8,993 | lean | /-
Copyright (c) 2019 Simon Hudon. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Author(s): Simon Hudon
-/
import category.monad.basic
import data.list.basic
import data.equiv.basic
import data.finset
import data.fintype
/-!
Type class for finitely enumerable types. The property is stronger
than `fintype` in that it assigns each element a rank in a finite
enumeration.
-/
open finset (hiding singleton)
/-- `fin_enum α` means that `α` is finite and can be enumerated in some order,
i.e. `α` has an explicit bijection with `fin n` for some n. -/
class fin_enum (α : Sort*) :=
(card : ℕ)
(equiv : α ≃ fin card)
[dec_eq : decidable_eq α]
attribute [instance] fin_enum.dec_eq
namespace fin_enum
variables {α : Type*}
/-- transport a `fin_enum` instance across an equivalence -/
def of_equiv (α) {β} [fin_enum α] (h : β ≃ α) : fin_enum β :=
{ card := card α,
equiv := h.trans (equiv α),
dec_eq := equiv.decidable_eq_of_equiv (h.trans (equiv _)) }
/-- create a `fin_enum` instance from an exhaustive list without duplicates -/
def of_nodup_list [decidable_eq α] (xs : list α) (h : ∀ x : α, x ∈ xs) (h' : list.nodup xs) : fin_enum α :=
{ card := xs.length,
equiv := ⟨λ x, ⟨xs.index_of x,by rw [list.index_of_lt_length]; apply h⟩,
λ ⟨i,h⟩, xs.nth_le _ h,
λ x, by simp [of_nodup_list._match_1],
λ ⟨i,h⟩, by simp [of_nodup_list._match_1,*]; rw list.nth_le_index_of; apply list.nodup_erase_dup ⟩ }
/-- create a `fin_enum` instance from an exhaustive list; duplicates are removed -/
def of_list [decidable_eq α] (xs : list α) (h : ∀ x : α, x ∈ xs) : fin_enum α :=
of_nodup_list xs.erase_dup (by simp *) (list.nodup_erase_dup _)
/-- create an exhaustive list of the values of a given type -/
def to_list (α) [fin_enum α] : list α :=
(list.fin_range (card α)).map (equiv α).symm
open function
@[simp] lemma mem_to_list [fin_enum α] (x : α) : x ∈ to_list α :=
by simp [to_list]; existsi equiv α x; simp
@[simp] lemma nodup_to_list [fin_enum α] : list.nodup (to_list α) :=
by simp [to_list]; apply list.nodup_map; [apply equiv.injective, apply list.nodup_fin_range]
/-- create a `fin_enum` instance using a surjection -/
def of_surjective {β} (f : β → α) [decidable_eq α] [fin_enum β] (h : surjective f) : fin_enum α :=
of_list ((to_list β).map f) (by intro; simp; exact h _)
/-- create a `fin_enum` instance using an injection -/
noncomputable def of_injective {α β} (f : α → β) [decidable_eq α] [fin_enum β] (h : injective f) : fin_enum α :=
of_list ((to_list β).filter_map (partial_inv f))
begin
intro x,
simp only [mem_to_list, true_and, list.mem_filter_map],
use f x,
simp only [h, function.partial_inv_left],
end
instance pempty : fin_enum pempty :=
of_list [] (λ x, pempty.elim x)
instance empty : fin_enum empty :=
of_list [] (λ x, empty.elim x)
instance punit : fin_enum punit :=
of_list [punit.star] (λ x, by cases x; simp)
instance prod {β} [fin_enum α] [fin_enum β] : fin_enum (α × β) :=
of_list ( (to_list α).product (to_list β) ) (λ x, by cases x; simp)
instance sum {β} [fin_enum α] [fin_enum β] : fin_enum (α ⊕ β) :=
of_list ( (to_list α).map sum.inl ++ (to_list β).map sum.inr ) (λ x, by cases x; simp)
instance fin {n} : fin_enum (fin n) :=
of_list (list.fin_range _) (by simp)
instance quotient.enum [fin_enum α] (s : setoid α)
[decidable_rel ((≈) : α → α → Prop)] : fin_enum (quotient s) :=
fin_enum.of_surjective quotient.mk (λ x, quotient.induction_on x (λ x, ⟨x, rfl⟩))
/-- enumerate all finite sets of a given type -/
def finset.enum [decidable_eq α] : list α → list (finset α)
| [] := [∅]
| (x :: xs) :=
do r ← finset.enum xs,
[r,{x} ∪ r]
@[simp] lemma finset.mem_enum [decidable_eq α] (s : finset α) (xs : list α) : s ∈ finset.enum xs ↔ ∀ x ∈ s, x ∈ xs :=
begin
induction xs generalizing s; simp [*,finset.enum],
{ simp [finset.eq_empty_iff_forall_not_mem,(∉)], refl },
{ split, rintro ⟨a,h,h'⟩ x hx,
cases h',
{ right, apply h, subst a, exact hx, },
{ simp only [h', mem_union, mem_singleton] at hx ⊢, cases hx,
{ exact or.inl hx },
{ exact or.inr (h _ hx) } },
intro h, existsi s \ ({xs_hd} : finset α),
simp only [and_imp, union_comm, mem_sdiff, insert_empty_eq_singleton, mem_singleton],
simp only [or_iff_not_imp_left] at h,
existsi h,
by_cases xs_hd ∈ s,
{ have : finset.singleton xs_hd ⊆ s, simp only [has_subset.subset, *, forall_eq, mem_singleton],
simp only [union_sdiff_of_subset this, or_true, finset.union_sdiff_of_subset, eq_self_iff_true], },
{ left, symmetry, simp only [sdiff_eq_self],
intro a, simp only [and_imp, mem_inter, mem_singleton, not_mem_empty],
intros h₀ h₁, subst a, apply h h₀, } }
end
instance finset.fin_enum [fin_enum α] : fin_enum (finset α) :=
of_list (finset.enum (to_list α)) (by intro; simp)
instance subtype.fin_enum [fin_enum α] (p : α → Prop) [decidable_pred p] : fin_enum {x // p x} :=
of_list ((to_list α).filter_map $ λ x, if h : p x then some ⟨_,h⟩ else none) (by rintro ⟨x,h⟩; simp; existsi x; simp *)
instance (β : α → Type*)
[fin_enum α] [∀ a, fin_enum (β a)] : fin_enum (sigma β) :=
of_list
((to_list α).bind $ λ a, (to_list (β a)).map $ sigma.mk a)
(by intro x; cases x; simp)
instance psigma.fin_enum {β : α → Type*} [fin_enum α] [∀ a, fin_enum (β a)] :
fin_enum (Σ' a, β a) :=
fin_enum.of_equiv _ (equiv.psigma_equiv_sigma _)
instance psigma.fin_enum_prop_left {α : Prop} {β : α → Type*} [∀ a, fin_enum (β a)] [decidable α] :
fin_enum (Σ' a, β a) :=
if h : α then of_list ((to_list (β h)).map $ psigma.mk h) (λ ⟨a,Ba⟩, by simp)
else of_list [] (λ ⟨a,Ba⟩, (h a).elim)
instance psigma.fin_enum_prop_right {β : α → Prop} [fin_enum α] [∀ a, decidable (β a)] :
fin_enum (Σ' a, β a) :=
fin_enum.of_equiv {a // β a} ⟨λ ⟨x, y⟩, ⟨x, y⟩, λ ⟨x, y⟩, ⟨x, y⟩, λ ⟨x, y⟩, rfl, λ ⟨x, y⟩, rfl⟩
instance psigma.fin_enum_prop_prop {α : Prop} {β : α → Prop} [decidable α] [∀ a, decidable (β a)] :
fin_enum (Σ' a, β a) :=
if h : ∃ a, β a
then of_list [⟨h.fst,h.snd⟩] (by rintro ⟨⟩; simp)
else of_list [] (λ a, (h ⟨a.fst,a.snd⟩).elim)
@[priority 100]
instance [fin_enum α] : fintype α :=
{ elems := univ.map (equiv α).symm.to_embedding,
complete := by intros; simp; existsi (equiv α x); simp }
/-- For `pi.cons x xs y f` create a function where every `i ∈ xs` is mapped to `f i` and
`x` is mapped to `y` -/
def pi.cons {β : α → Type*} [decidable_eq α] (x : α) (xs : list α) (y : β x)
(f : Π a, a ∈ xs → β a) :
Π a, a ∈ (x :: xs : list α) → β a
| b h :=
if h' : b = x then cast (by rw h') y
else f b (list.mem_of_ne_of_mem h' h)
/-- Given `f` a function whose domain is `x :: xs`, produce a function whose domain
is restricted to `xs`. -/
def pi.tail {α : Type*} {β : α → Type*} {x : α} {xs : list α}
(f : Π a, a ∈ (x :: xs : list α) → β a) :
Π a, a ∈ xs → β a
| a h := f a (list.mem_cons_of_mem _ h)
/-- `pi xs f` creates the list of functions `g` such that, for `x ∈ xs`, `g x ∈ f x` -/
def pi {α : Type*} {β : α → Type*} [decidable_eq α] : Π xs : list α, (Π a, list (β a)) → list (Π a, a ∈ xs → β a)
| [] fs := [λ x h, h.elim]
| (x :: xs) fs :=
fin_enum.pi.cons x xs <$> fs x <*> pi xs fs
lemma mem_pi {α : Type*} {β : α → Type*} [fin_enum α] [∀a, fin_enum (β a)] (xs : list α) (f : Π a, a ∈ xs → β a) :
f ∈ pi xs (λ x, to_list (β x)) :=
begin
induction xs; simp [pi,-list.map_eq_map] with monad_norm functor_norm,
{ ext a ⟨ ⟩ },
{ existsi pi.cons xs_hd xs_tl (f _ (list.mem_cons_self _ _)),
split, exact ⟨_,rfl⟩,
existsi pi.tail f, split,
{ apply xs_ih, },
{ ext x h, simp [pi.cons], split_ifs, subst x, refl, refl }, }
end
/-- enumerate all functions whose domain and range are finitely enumerable -/
def pi.enum {α : Type*} (β : α → Type*) [fin_enum α] [∀a, fin_enum (β a)] : list (Π a, β a) :=
(pi (to_list α) (λ x, to_list (β x))).map (λ f x, f x (mem_to_list _))
lemma pi.mem_enum {α : Type*} {β : α → Type*} [fin_enum α] [∀a, fin_enum (β a)] (f : Π a, β a) : f ∈ pi.enum β :=
by simp [pi.enum]; refine ⟨λ a h, f a, mem_pi _ _, rfl⟩
instance pi.fin_enum {α : Type*} {β : α → Type*}
[fin_enum α] [∀a, fin_enum (β a)] : fin_enum (Πa, β a) :=
of_list (pi.enum _) (λ x, pi.mem_enum _)
instance pfun_fin_enum (p : Prop) [decidable p] (α : p → Type*)
[Π hp, fin_enum (α hp)] : fin_enum (Π hp : p, α hp) :=
if hp : p then of_list ( (to_list (α hp)).map $ λ x hp', x ) (by intro; simp; exact ⟨x hp,rfl⟩)
else of_list [λ hp', (hp hp').elim] (by intro; simp; ext hp'; cases hp hp')
end fin_enum
|
4f326624200658c702b649574a5d553ac7b9b4f1 | d1a52c3f208fa42c41df8278c3d280f075eb020c | /tmp/eqns/matchVal.lean | e4fdada066b79316e380d56b348b2aba7b8a33a2 | [
"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 | 1,791 | lean | universes v
/-
matcher for the following patterns
```
| "hello" => _
| "world" => _
| a => _
``` -/
def matchString (C : String → Sort v) (s : String)
(h₁ : Unit → C "hello")
(h₂ : Unit → C "world")
(h₃ : ∀ s, C s)
: C s :=
dite (s = "hello")
(fun h => @Eq.ndrec _ _ (fun x => C x) (h₁ ()) _ h.symm)
(fun _ => dite (s = "world")
(fun h => @Eq.ndrec _ _ (fun x => C x) (h₂ ()) _ h.symm)
(fun _ => h₃ s))
theorem matchString.Eq1 (C : String → Sort v)
(h₁ : Unit → C "hello")
(h₂ : Unit → C "world")
(h₃ : ∀ s, C s)
: matchString C "hello" h₁ h₂ h₃ = h₁ () :=
difPos rfl
axiom neg1 : "world" ≠ "hello"
theorem matchString.Eq2 (C : String → Sort v)
(h₁ : Unit → C "hello")
(h₂ : Unit → C "world")
(h₃ : ∀ s, C s)
: matchString C "world" h₁ h₂ h₃ = h₂ () :=
have aux₁ : matchString C "world" h₁ h₂ h₃ = if h : "world" = "world" then @Eq.rec _ _ (fun x _ => C x) (h₂ ()) _ h.symm else h₃ "world" from difNeg neg1;
have aux₂ : (if h : "world" = "world" then @Eq.rec _ _ (fun x _ => C x) (h₂ ()) _ h.symm else h₃ "world" : C "world") = h₂ () from difPos rfl;
Eq.trans aux₁ aux₂
theorem matchString.Eq3 (C : String → Sort v)
(h₁ : Unit → C "hello")
(h₂ : Unit → C "world")
(h₃ : ∀ s, C s)
(s : String) (n₁ : s ≠ "hello") (n₂ : s ≠ "world")
: matchString C s h₁ h₂ h₃ = h₃ s :=
have aux₁ : matchString C s h₁ h₂ h₃ = if h : s = "world" then @Eq.rec _ _ (fun x _ => C x) (h₂ ()) _ h.symm else h₃ s from difNeg n₁;
have aux₂ : (if h : s = "world" then @Eq.rec _ _ (fun x _ => C x) (h₂ ()) _ h.symm else h₃ s : C s) = h₃ s from difNeg n₂;
Eq.trans aux₁ aux₂
|
4aaa53c8a032c86243d216be701e755feb604d8a | 8d65764a9e5f0923a67fc435eb1a5a1d02fd80e3 | /src/data/finset/nat_antidiagonal.lean | 70b7b9d913e78d5612358795a0b98b7bdeb09033 | [
"Apache-2.0"
] | permissive | troyjlee/mathlib | e18d4b8026e32062ab9e89bc3b003a5d1cfec3f5 | 45e7eb8447555247246e3fe91c87066506c14875 | refs/heads/master | 1,689,248,035,046 | 1,629,470,528,000 | 1,629,470,528,000 | null | 0 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 3,219 | lean | /-
Copyright (c) 2019 Johan Commelin. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Johan Commelin
-/
import data.finset.basic
import data.multiset.nat_antidiagonal
/-!
# Antidiagonals in ℕ × ℕ as finsets
This file defines the antidiagonals of ℕ × ℕ as finsets: the `n`-th antidiagonal is the finset of
pairs `(i, j)` such that `i + j = n`. This is useful for polynomial multiplication and more
generally for sums going from `0` to `n`.
## Notes
This refines files `data.list.nat_antidiagonal` and `data.multiset.nat_antidiagonal`.
-/
namespace finset
namespace nat
/-- The antidiagonal of a natural number `n` is
the finset of pairs `(i, j)` such that `i + j = n`. -/
def antidiagonal (n : ℕ) : finset (ℕ × ℕ) :=
⟨multiset.nat.antidiagonal n, multiset.nat.nodup_antidiagonal n⟩
/-- A pair (i, j) is contained in the antidiagonal of `n` if and only if `i + j = n`. -/
@[simp] lemma mem_antidiagonal {n : ℕ} {x : ℕ × ℕ} :
x ∈ antidiagonal n ↔ x.1 + x.2 = n :=
by rw [antidiagonal, mem_def, multiset.nat.mem_antidiagonal]
/-- The cardinality of the antidiagonal of `n` is `n + 1`. -/
@[simp] lemma card_antidiagonal (n : ℕ) : (antidiagonal n).card = n+1 :=
by simp [antidiagonal]
/-- The antidiagonal of `0` is the list `[(0, 0)]` -/
@[simp] lemma antidiagonal_zero : antidiagonal 0 = {(0, 0)} :=
rfl
lemma antidiagonal_succ {n : ℕ} :
antidiagonal (n + 1) = insert (0, n + 1) ((antidiagonal n).map
(function.embedding.prod_map ⟨nat.succ, nat.succ_injective⟩ (function.embedding.refl _))) :=
begin
apply eq_of_veq,
rw [insert_val_of_not_mem, map_val],
{apply multiset.nat.antidiagonal_succ},
{ intro con, rcases mem_map.1 con with ⟨⟨a,b⟩, ⟨h1, h2⟩⟩,
simp only [prod.mk.inj_iff, function.embedding.coe_prod_map, prod.map_mk] at h2,
apply nat.succ_ne_zero a h2.1, }
end
lemma map_swap_antidiagonal {n : ℕ} :
(antidiagonal n).map ⟨prod.swap, prod.swap_right_inverse.injective⟩ = antidiagonal n :=
begin
ext,
simp only [exists_prop, mem_map, mem_antidiagonal, prod.exists],
rw add_comm,
split,
{ rintro ⟨b, c, ⟨rfl, rfl⟩⟩,
simp },
{ rintro rfl,
use [a.snd, a.fst],
simp }
end
/-- A point in the antidiagonal is determined by its first co-ordinate. -/
lemma antidiagonal_congr {n : ℕ} {p q : ℕ × ℕ} (hp : p ∈ antidiagonal n)
(hq : q ∈ antidiagonal n) : p = q ↔ p.fst = q.fst :=
begin
refine ⟨congr_arg prod.fst, (λ h, prod.ext h ((add_right_inj q.fst).mp _))⟩,
rw mem_antidiagonal at hp hq,
rw [hq, ← h, hp],
end
section equiv_prod
/-- The disjoint union of antidiagonals `Σ (n : ℕ), antidiagonal n` is equivalent to the product
`ℕ × ℕ`. This is such an equivalence, obtained by mapping `(n, (k, l))` to `(k, l)`. -/
@[simps] def sigma_antidiagonal_equiv_prod : (Σ (n : ℕ), antidiagonal n) ≃ ℕ × ℕ :=
{ to_fun := λ x, x.2,
inv_fun := λ x, ⟨x.1 + x.2, x, mem_antidiagonal.mpr rfl⟩,
left_inv :=
begin
rintros ⟨n, ⟨k, l⟩, h⟩,
rw mem_antidiagonal at h,
exact sigma.subtype_ext h rfl,
end,
right_inv := λ x, rfl }
end equiv_prod
end nat
end finset
|
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"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 | 88,750 | lean | /-
Copyright (c) 2017 Johannes Hölzl. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Johannes Hölzl, Jeremy Avigad
Theory of filters on sets.
-/
import order.galois_connection order.zorn
import data.set.finite
open lattice set
universes u v w x y
open_locale classical
namespace lattice
variables {α : Type u} {ι : Sort v}
def complete_lattice.copy (c : complete_lattice α)
(le : α → α → Prop) (eq_le : le = @complete_lattice.le α c)
(top : α) (eq_top : top = @complete_lattice.top α c)
(bot : α) (eq_bot : bot = @complete_lattice.bot α c)
(sup : α → α → α) (eq_sup : sup = @complete_lattice.sup α c)
(inf : α → α → α) (eq_inf : inf = @complete_lattice.inf α c)
(Sup : set α → α) (eq_Sup : Sup = @complete_lattice.Sup α c)
(Inf : set α → α) (eq_Inf : Inf = @complete_lattice.Inf α c) :
complete_lattice α :=
begin
refine { le := le, top := top, bot := bot, sup := sup, inf := inf, Sup := Sup, Inf := Inf, ..};
subst_vars,
exact @complete_lattice.le_refl α c,
exact @complete_lattice.le_trans α c,
exact @complete_lattice.le_antisymm α c,
exact @complete_lattice.le_sup_left α c,
exact @complete_lattice.le_sup_right α c,
exact @complete_lattice.sup_le α c,
exact @complete_lattice.inf_le_left α c,
exact @complete_lattice.inf_le_right α c,
exact @complete_lattice.le_inf α c,
exact @complete_lattice.le_top α c,
exact @complete_lattice.bot_le α c,
exact @complete_lattice.le_Sup α c,
exact @complete_lattice.Sup_le α c,
exact @complete_lattice.Inf_le α c,
exact @complete_lattice.le_Inf α c
end
end lattice
open set lattice
section order
variables {α : Type u} (r : α → α → Prop)
local infix ` ≼ ` : 50 := r
lemma directed_on_Union {r} {ι : Sort v} {f : ι → set α} (hd : directed (⊆) f)
(h : ∀x, directed_on r (f x)) : directed_on r (⋃x, f x) :=
by simp only [directed_on, exists_prop, mem_Union, exists_imp_distrib]; exact
assume a₁ b₁ fb₁ a₂ b₂ fb₂,
let ⟨z, zb₁, zb₂⟩ := hd b₁ b₂,
⟨x, xf, xa₁, xa₂⟩ := h z a₁ (zb₁ fb₁) a₂ (zb₂ fb₂) in
⟨x, ⟨z, xf⟩, xa₁, xa₂⟩
end order
theorem directed_of_chain {α β r} [is_refl β r] {f : α → β} {c : set α}
(h : zorn.chain (f ⁻¹'o r) c) :
directed r (λx:{a:α // a ∈ c}, f (x.val)) :=
assume ⟨a, ha⟩ ⟨b, hb⟩, classical.by_cases
(assume : a = b, by simp only [this, exists_prop, and_self, subtype.exists];
exact ⟨b, hb, refl _⟩)
(assume : a ≠ b, (h a ha b hb this).elim
(λ h : r (f a) (f b), ⟨⟨b, hb⟩, h, refl _⟩)
(λ h : r (f b) (f a), ⟨⟨a, ha⟩, refl _, h⟩))
structure filter (α : Type*) :=
(sets : set (set α))
(univ_sets : set.univ ∈ sets)
(sets_of_superset {x y} : x ∈ sets → x ⊆ y → y ∈ sets)
(inter_sets {x y} : x ∈ sets → y ∈ sets → x ∩ y ∈ sets)
/-- If `F` is a filter on `α`, and `U` a subset of `α` then we can write `U ∈ F` as on paper. -/
@[reducible]
instance {α : Type*}: has_mem (set α) (filter α) := ⟨λ U F, U ∈ F.sets⟩
namespace filter
variables {α : Type u} {f g : filter α} {s t : set α}
lemma filter_eq : ∀{f g : filter α}, f.sets = g.sets → f = g
| ⟨a, _, _, _⟩ ⟨._, _, _, _⟩ rfl := rfl
lemma filter_eq_iff : f = g ↔ f.sets = g.sets :=
⟨congr_arg _, filter_eq⟩
protected lemma ext_iff : f = g ↔ ∀ s, s ∈ f ↔ s ∈ g :=
by rw [filter_eq_iff, ext_iff]
@[ext]
protected lemma ext : (∀ s, s ∈ f ↔ s ∈ g) → f = g :=
filter.ext_iff.2
lemma univ_mem_sets : univ ∈ f :=
f.univ_sets
lemma mem_sets_of_superset : ∀{x y : set α}, x ∈ f → x ⊆ y → y ∈ f :=
f.sets_of_superset
lemma inter_mem_sets : ∀{s t}, s ∈ f → t ∈ f → s ∩ t ∈ f :=
f.inter_sets
lemma univ_mem_sets' (h : ∀ a, a ∈ s) : s ∈ f :=
mem_sets_of_superset univ_mem_sets (assume x _, h x)
lemma mp_sets (hs : s ∈ f) (h : {x | x ∈ s → x ∈ t} ∈ f) : t ∈ f :=
mem_sets_of_superset (inter_mem_sets hs h) $ assume x ⟨h₁, h₂⟩, h₂ h₁
lemma congr_sets (h : {x | x ∈ s ↔ x ∈ t} ∈ f) : s ∈ f ↔ t ∈ f :=
⟨λ hs, mp_sets hs (mem_sets_of_superset h (λ x, iff.mp)),
λ hs, mp_sets hs (mem_sets_of_superset h (λ x, iff.mpr))⟩
lemma Inter_mem_sets {β : Type v} {s : β → set α} {is : set β} (hf : finite is) :
(∀i∈is, s i ∈ f) → (⋂i∈is, s i) ∈ f :=
finite.induction_on hf
(assume hs, by simp only [univ_mem_sets, mem_empty_eq, Inter_neg, Inter_univ, not_false_iff])
(assume i is _ hf hi hs,
have h₁ : s i ∈ f, from hs i (by simp),
have h₂ : (⋂x∈is, s x) ∈ f, from hi $ assume a ha, hs _ $ by simp only [ha, mem_insert_iff, or_true],
by simp [inter_mem_sets h₁ h₂])
lemma Inter_mem_sets_of_fintype {β : Type v} {s : β → set α} [fintype β] (h : ∀i, s i ∈ f) :
(⋂i, s i) ∈ f :=
by simpa using Inter_mem_sets finite_univ (λi hi, h i)
lemma exists_sets_subset_iff : (∃t ∈ f, t ⊆ s) ↔ s ∈ f :=
⟨assume ⟨t, ht, ts⟩, mem_sets_of_superset ht ts, assume hs, ⟨s, hs, subset.refl _⟩⟩
lemma monotone_mem_sets {f : filter α} : monotone (λs, s ∈ f) :=
assume s t hst h, mem_sets_of_superset h hst
end filter
namespace tactic.interactive
open tactic interactive
/-- `filter_upwards [h1, ⋯, hn]` replaces a goal of the form `s ∈ f`
and terms `h1 : t1 ∈ f, ⋯, hn : tn ∈ f` with `∀x, x ∈ t1 → ⋯ → x ∈ tn → x ∈ s`.
`filter_upwards [h1, ⋯, hn] e` is a short form for `{ filter_upwards [h1, ⋯, hn], exact e }`.
-/
meta def filter_upwards
(s : parse types.pexpr_list)
(e' : parse $ optional types.texpr) : tactic unit :=
do
s.reverse.mmap (λ e, eapplyc `filter.mp_sets >> eapply e),
eapplyc `filter.univ_mem_sets',
match e' with
| some e := interactive.exact e
| none := skip
end
end tactic.interactive
namespace filter
variables {α : Type u} {β : Type v} {γ : Type w} {ι : Sort x}
section principal
/-- The principal filter of `s` is the collection of all supersets of `s`. -/
def principal (s : set α) : filter α :=
{ sets := {t | s ⊆ t},
univ_sets := subset_univ s,
sets_of_superset := assume x y hx hy, subset.trans hx hy,
inter_sets := assume x y, subset_inter }
instance : inhabited (filter α) :=
⟨principal ∅⟩
@[simp] lemma mem_principal_sets {s t : set α} : s ∈ principal t ↔ t ⊆ s := iff.rfl
lemma mem_principal_self (s : set α) : s ∈ principal s := subset.refl _
end principal
section join
/-- The join of a filter of filters is defined by the relation `s ∈ join f ↔ {t | s ∈ t} ∈ f`. -/
def join (f : filter (filter α)) : filter α :=
{ sets := {s | {t : filter α | s ∈ t} ∈ f},
univ_sets := by simp only [univ_mem_sets, mem_set_of_eq]; exact univ_mem_sets,
sets_of_superset := assume x y hx xy,
mem_sets_of_superset hx $ assume f h, mem_sets_of_superset h xy,
inter_sets := assume x y hx hy,
mem_sets_of_superset (inter_mem_sets hx hy) $ assume f ⟨h₁, h₂⟩, inter_mem_sets h₁ h₂ }
@[simp] lemma mem_join_sets {s : set α} {f : filter (filter α)} :
s ∈ join f ↔ {t | s ∈ filter.sets t} ∈ f := iff.rfl
end join
section lattice
instance : partial_order (filter α) :=
{ le := λf g, ∀ ⦃U : set α⦄, U ∈ g → U ∈ f,
le_antisymm := assume a b h₁ h₂, filter_eq $ subset.antisymm h₂ h₁,
le_refl := assume a, subset.refl _,
le_trans := assume a b c h₁ h₂, subset.trans h₂ h₁ }
theorem le_def {f g : filter α} : f ≤ g ↔ ∀ x ∈ g, x ∈ f := iff.rfl
/-- `generate_sets g s`: `s` is in the filter closure of `g`. -/
inductive generate_sets (g : set (set α)) : set α → Prop
| basic {s : set α} : s ∈ g → generate_sets s
| univ {} : generate_sets univ
| superset {s t : set α} : generate_sets s → s ⊆ t → generate_sets t
| inter {s t : set α} : generate_sets s → generate_sets t → generate_sets (s ∩ t)
/-- `generate g` is the smallest filter containing the sets `g`. -/
def generate (g : set (set α)) : filter α :=
{ sets := generate_sets g,
univ_sets := generate_sets.univ,
sets_of_superset := assume x y, generate_sets.superset,
inter_sets := assume s t, generate_sets.inter }
lemma sets_iff_generate {s : set (set α)} {f : filter α} : f ≤ filter.generate s ↔ s ⊆ f.sets :=
iff.intro
(assume h u hu, h $ generate_sets.basic $ hu)
(assume h u hu, hu.rec_on h univ_mem_sets
(assume x y _ hxy hx, mem_sets_of_superset hx hxy)
(assume x y _ _ hx hy, inter_mem_sets hx hy))
protected def mk_of_closure (s : set (set α)) (hs : (generate s).sets = s) : filter α :=
{ sets := s,
univ_sets := hs ▸ (univ_mem_sets : univ ∈ generate s),
sets_of_superset := assume x y, hs ▸ (mem_sets_of_superset : x ∈ generate s → x ⊆ y → y ∈ generate s),
inter_sets := assume x y, hs ▸ (inter_mem_sets : x ∈ generate s → y ∈ generate s → x ∩ y ∈ generate s) }
lemma mk_of_closure_sets {s : set (set α)} {hs : (generate s).sets = s} :
filter.mk_of_closure s hs = generate s :=
filter.ext $ assume u,
show u ∈ (filter.mk_of_closure s hs).sets ↔ u ∈ (generate s).sets, from hs.symm ▸ iff.rfl
/- Galois insertion from sets of sets into a filters. -/
def gi_generate (α : Type*) :
@galois_insertion (set (set α)) (order_dual (filter α)) _ _ filter.generate filter.sets :=
{ gc := assume s f, sets_iff_generate,
le_l_u := assume f u h, generate_sets.basic h,
choice := λs hs, filter.mk_of_closure s (le_antisymm hs $ sets_iff_generate.1 $ le_refl _),
choice_eq := assume s hs, mk_of_closure_sets }
/-- The infimum of filters is the filter generated by intersections
of elements of the two filters. -/
instance : has_inf (filter α) := ⟨λf g : filter α,
{ sets := {s | ∃ (a ∈ f) (b ∈ g), a ∩ b ⊆ s },
univ_sets := ⟨_, univ_mem_sets, _, univ_mem_sets, inter_subset_left _ _⟩,
sets_of_superset := assume x y ⟨a, ha, b, hb, h⟩ xy, ⟨a, ha, b, hb, subset.trans h xy⟩,
inter_sets := assume x y ⟨a, ha, b, hb, hx⟩ ⟨c, hc, d, hd, hy⟩,
⟨_, inter_mem_sets ha hc, _, inter_mem_sets hb hd,
calc a ∩ c ∩ (b ∩ d) = (a ∩ b) ∩ (c ∩ d) : by ac_refl
... ⊆ x ∩ y : inter_subset_inter hx hy⟩ }⟩
@[simp] lemma mem_inf_sets {f g : filter α} {s : set α} :
s ∈ f ⊓ g ↔ ∃t₁∈f.sets, ∃t₂∈g.sets, t₁ ∩ t₂ ⊆ s := iff.rfl
lemma mem_inf_sets_of_left {f g : filter α} {s : set α} (h : s ∈ f) : s ∈ f ⊓ g :=
⟨s, h, univ, univ_mem_sets, inter_subset_left _ _⟩
lemma mem_inf_sets_of_right {f g : filter α} {s : set α} (h : s ∈ g) : s ∈ f ⊓ g :=
⟨univ, univ_mem_sets, s, h, inter_subset_right _ _⟩
lemma inter_mem_inf_sets {α : Type u} {f g : filter α} {s t : set α}
(hs : s ∈ f) (ht : t ∈ g) : s ∩ t ∈ f ⊓ g :=
inter_mem_sets (mem_inf_sets_of_left hs) (mem_inf_sets_of_right ht)
instance : has_top (filter α) :=
⟨{ sets := {s | ∀x, x ∈ s},
univ_sets := assume x, mem_univ x,
sets_of_superset := assume x y hx hxy a, hxy (hx a),
inter_sets := assume x y hx hy a, mem_inter (hx _) (hy _) }⟩
lemma mem_top_sets_iff_forall {s : set α} : s ∈ (⊤ : filter α) ↔ (∀x, x ∈ s) :=
iff.rfl
@[simp] lemma mem_top_sets {s : set α} : s ∈ (⊤ : filter α) ↔ s = univ :=
by rw [mem_top_sets_iff_forall, eq_univ_iff_forall]
section complete_lattice
/- We lift the complete lattice along the Galois connection `generate` / `sets`. Unfortunately,
we want to have different definitional equalities for the lattice operations. So we define them
upfront and change the lattice operations for the complete lattice instance. -/
private def original_complete_lattice : complete_lattice (filter α) :=
@order_dual.lattice.complete_lattice _ (gi_generate α).lift_complete_lattice
local attribute [instance] original_complete_lattice
instance : complete_lattice (filter α) := original_complete_lattice.copy
/- le -/ filter.partial_order.le rfl
/- top -/ (filter.lattice.has_top).1
(top_unique $ assume s hs, by have := univ_mem_sets ; finish)
/- bot -/ _ rfl
/- sup -/ _ rfl
/- inf -/ (filter.lattice.has_inf).1
begin
ext f g : 2,
exact le_antisymm
(le_inf (assume s, mem_inf_sets_of_left) (assume s, mem_inf_sets_of_right))
(assume s ⟨a, ha, b, hb, hs⟩, show s ∈ complete_lattice.inf f g, from
mem_sets_of_superset (inter_mem_sets
(@inf_le_left (filter α) _ _ _ _ ha)
(@inf_le_right (filter α) _ _ _ _ hb)) hs)
end
/- Sup -/ (join ∘ principal) (by ext s x; exact (@mem_bInter_iff _ _ s filter.sets x).symm)
/- Inf -/ _ rfl
end complete_lattice
lemma bot_sets_eq : (⊥ : filter α).sets = univ := rfl
lemma sup_sets_eq {f g : filter α} : (f ⊔ g).sets = f.sets ∩ g.sets :=
(gi_generate α).gc.u_inf
lemma Sup_sets_eq {s : set (filter α)} : (Sup s).sets = (⋂f∈s, (f:filter α).sets) :=
(gi_generate α).gc.u_Inf
lemma supr_sets_eq {f : ι → filter α} : (supr f).sets = (⋂i, (f i).sets) :=
(gi_generate α).gc.u_infi
lemma generate_empty : filter.generate ∅ = (⊤ : filter α) :=
(gi_generate α).gc.l_bot
lemma generate_univ : filter.generate univ = (⊥ : filter α) :=
mk_of_closure_sets.symm
lemma generate_union {s t : set (set α)} :
filter.generate (s ∪ t) = filter.generate s ⊓ filter.generate t :=
(gi_generate α).gc.l_sup
lemma generate_Union {s : ι → set (set α)} :
filter.generate (⋃ i, s i) = (⨅ i, filter.generate (s i)) :=
(gi_generate α).gc.l_supr
@[simp] lemma mem_bot_sets {s : set α} : s ∈ (⊥ : filter α) :=
trivial
@[simp] lemma mem_sup_sets {f g : filter α} {s : set α} :
s ∈ f ⊔ g ↔ s ∈ f ∧ s ∈ g :=
iff.rfl
@[simp] lemma mem_Sup_sets {x : set α} {s : set (filter α)} :
x ∈ Sup s ↔ (∀f∈s, x ∈ (f:filter α)) :=
iff.rfl
@[simp] lemma mem_supr_sets {x : set α} {f : ι → filter α} :
x ∈ supr f ↔ (∀i, x ∈ f i) :=
by simp only [supr_sets_eq, iff_self, mem_Inter]
@[simp] lemma le_principal_iff {s : set α} {f : filter α} : f ≤ principal s ↔ s ∈ f :=
show (∀{t}, s ⊆ t → t ∈ f) ↔ s ∈ f,
from ⟨assume h, h (subset.refl s), assume hs t ht, mem_sets_of_superset hs ht⟩
lemma principal_mono {s t : set α} : principal s ≤ principal t ↔ s ⊆ t :=
by simp only [le_principal_iff, iff_self, mem_principal_sets]
lemma monotone_principal : monotone (principal : set α → filter α) :=
by simp only [monotone, principal_mono]; exact assume a b h, h
@[simp] lemma principal_eq_iff_eq {s t : set α} : principal s = principal t ↔ s = t :=
by simp only [le_antisymm_iff, le_principal_iff, mem_principal_sets]; refl
@[simp] lemma join_principal_eq_Sup {s : set (filter α)} : join (principal s) = Sup s := rfl
/- lattice equations -/
lemma empty_in_sets_eq_bot {f : filter α} : ∅ ∈ f ↔ f = ⊥ :=
⟨assume h, bot_unique $ assume s _, mem_sets_of_superset h (empty_subset s),
assume : f = ⊥, this.symm ▸ mem_bot_sets⟩
lemma inhabited_of_mem_sets {f : filter α} {s : set α} (hf : f ≠ ⊥) (hs : s ∈ f) :
∃x, x ∈ s :=
have ∅ ∉ f.sets, from assume h, hf $ empty_in_sets_eq_bot.mp h,
have s ≠ ∅, from assume h, this (h ▸ hs),
exists_mem_of_ne_empty this
lemma filter_eq_bot_of_not_nonempty {f : filter α} (ne : ¬ nonempty α) : f = ⊥ :=
empty_in_sets_eq_bot.mp $ univ_mem_sets' $ assume x, false.elim (ne ⟨x⟩)
lemma forall_sets_neq_empty_iff_neq_bot {f : filter α} :
(∀ (s : set α), s ∈ f → s ≠ ∅) ↔ f ≠ ⊥ :=
by
simp only [(@empty_in_sets_eq_bot α f).symm, ne.def];
exact ⟨assume h hs, h _ hs rfl, assume h s hs eq, h $ eq ▸ hs⟩
lemma mem_sets_of_neq_bot {f : filter α} {s : set α} (h : f ⊓ principal (-s) = ⊥) : s ∈ f :=
have ∅ ∈ f ⊓ principal (- s), from h.symm ▸ mem_bot_sets,
let ⟨s₁, hs₁, s₂, (hs₂ : -s ⊆ s₂), (hs : s₁ ∩ s₂ ⊆ ∅)⟩ := this in
by filter_upwards [hs₁] assume a ha, classical.by_contradiction $ assume ha', hs ⟨ha, hs₂ ha'⟩
lemma infi_sets_eq {f : ι → filter α} (h : directed (≥) f) (ne : nonempty ι) :
(infi f).sets = (⋃ i, (f i).sets) :=
let ⟨i⟩ := ne, u := { filter .
sets := (⋃ i, (f i).sets),
univ_sets := by simp only [mem_Union]; exact ⟨i, univ_mem_sets⟩,
sets_of_superset := by simp only [mem_Union, exists_imp_distrib];
intros x y i hx hxy; exact ⟨i, mem_sets_of_superset hx hxy⟩,
inter_sets :=
begin
simp only [mem_Union, exists_imp_distrib],
assume x y a hx b hy,
rcases h a b with ⟨c, ha, hb⟩,
exact ⟨c, inter_mem_sets (ha hx) (hb hy)⟩
end } in
subset.antisymm
(show u ≤ infi f, from le_infi $ assume i, le_supr (λi, (f i).sets) i)
(Union_subset $ assume i, infi_le f i)
lemma mem_infi {f : ι → filter α} (h : directed (≥) f) (ne : nonempty ι) (s) :
s ∈ infi f ↔ s ∈ ⋃ i, (f i).sets :=
show s ∈ (infi f).sets ↔ s ∈ ⋃ i, (f i).sets, by rw infi_sets_eq h ne
@[nolint] -- Intentional use of `≥`
lemma binfi_sets_eq {f : β → filter α} {s : set β}
(h : directed_on (f ⁻¹'o (≥)) s) (ne : ∃i, i ∈ s) :
(⨅ i∈s, f i).sets = (⋃ i ∈ s, (f i).sets) :=
let ⟨i, hi⟩ := ne in
calc (⨅ i ∈ s, f i).sets = (⨅ t : {t // t ∈ s}, (f t.val)).sets : by rw [infi_subtype]; refl
... = (⨆ t : {t // t ∈ s}, (f t.val).sets) : infi_sets_eq
(assume ⟨x, hx⟩ ⟨y, hy⟩, match h x hx y hy with ⟨z, h₁, h₂, h₃⟩ := ⟨⟨z, h₁⟩, h₂, h₃⟩ end)
⟨⟨i, hi⟩⟩
... = (⨆ t ∈ {t | t ∈ s}, (f t).sets) : by rw [supr_subtype]; refl
@[nolint] -- Intentional use of `≥`
lemma mem_binfi {f : β → filter α} {s : set β}
(h : directed_on (f ⁻¹'o (≥)) s) (ne : ∃i, i ∈ s) {t : set α} :
t ∈ (⨅ i∈s, f i) ↔ t ∈ ⋃ i ∈ s, (f i).sets :=
by rw [← binfi_sets_eq h ne]
lemma infi_sets_eq_finite (f : ι → filter α) :
(⨅i, f i).sets = (⋃t:finset (plift ι), (⨅i∈t, f (plift.down i)).sets) :=
begin
rw [infi_eq_infi_finset, infi_sets_eq],
exact (directed_of_sup $ λs₁ s₂ hs, infi_le_infi $ λi, infi_le_infi_const $ λh, hs h),
apply_instance
end
lemma mem_infi_finite {f : ι → filter α} (s) :
s ∈ infi f ↔ s ∈ ⋃t:finset (plift ι), (⨅i∈t, f (plift.down i)).sets :=
show s ∈ (infi f).sets ↔ s ∈ ⋃t:finset (plift ι), (⨅i∈t, f (plift.down i)).sets,
by rw infi_sets_eq_finite
@[simp] lemma sup_join {f₁ f₂ : filter (filter α)} : (join f₁ ⊔ join f₂) = join (f₁ ⊔ f₂) :=
filter_eq $ set.ext $ assume x,
by simp only [supr_sets_eq, join, mem_sup_sets, iff_self, mem_set_of_eq]
@[simp] lemma supr_join {ι : Sort w} {f : ι → filter (filter α)} :
(⨆x, join (f x)) = join (⨆x, f x) :=
filter_eq $ set.ext $ assume x,
by simp only [supr_sets_eq, join, iff_self, mem_Inter, mem_set_of_eq]
instance : bounded_distrib_lattice (filter α) :=
{ le_sup_inf :=
begin
assume x y z s,
simp only [and_assoc, mem_inf_sets, mem_sup_sets, exists_prop, exists_imp_distrib, and_imp],
intros hs t₁ ht₁ t₂ ht₂ hts,
exact ⟨s ∪ t₁,
x.sets_of_superset hs $ subset_union_left _ _,
y.sets_of_superset ht₁ $ subset_union_right _ _,
s ∪ t₂,
x.sets_of_superset hs $ subset_union_left _ _,
z.sets_of_superset ht₂ $ subset_union_right _ _,
subset.trans (@le_sup_inf (set α) _ _ _ _) (union_subset (subset.refl _) hts)⟩
end,
..filter.lattice.complete_lattice }
/- the complementary version with ⨆i, f ⊓ g i does not hold! -/
lemma infi_sup_eq {f : filter α} {g : ι → filter α} : (⨅ x, f ⊔ g x) = f ⊔ infi g :=
begin
refine le_antisymm _ (le_infi $ assume i, sup_le_sup (le_refl f) $ infi_le _ _),
rintros t ⟨h₁, h₂⟩,
rw [infi_sets_eq_finite] at h₂,
simp only [mem_Union, (finset.inf_eq_infi _ _).symm] at h₂,
rcases h₂ with ⟨s, hs⟩,
suffices : (⨅i, f ⊔ g i) ≤ f ⊔ s.inf (λi, g i.down), { exact this ⟨h₁, hs⟩ },
refine finset.induction_on s _ _,
{ exact le_sup_right_of_le le_top },
{ rintros ⟨i⟩ s his ih,
rw [finset.inf_insert, sup_inf_left],
exact le_inf (infi_le _ _) ih }
end
lemma mem_infi_sets_finset {s : finset α} {f : α → filter β} :
∀t, t ∈ (⨅a∈s, f a) ↔ (∃p:α → set β, (∀a∈s, p a ∈ f a) ∧ (⋂a∈s, p a) ⊆ t) :=
show ∀t, t ∈ (⨅a∈s, f a) ↔ (∃p:α → set β, (∀a∈s, p a ∈ f a) ∧ (⨅a∈s, p a) ≤ t),
begin
simp only [(finset.inf_eq_infi _ _).symm],
refine finset.induction_on s _ _,
{ simp only [finset.not_mem_empty, false_implies_iff, finset.inf_empty, top_le_iff,
imp_true_iff, mem_top_sets, true_and, exists_const],
intros; refl },
{ intros a s has ih t,
simp only [ih, finset.forall_mem_insert, finset.inf_insert, mem_inf_sets,
exists_prop, iff_iff_implies_and_implies, exists_imp_distrib, and_imp, and_assoc] {contextual := tt},
split,
{ intros t₁ ht₁ t₂ p hp ht₂ ht,
existsi function.update p a t₁,
have : ∀a'∈s, function.update p a t₁ a' = p a',
from assume a' ha',
have a' ≠ a, from assume h, has $ h ▸ ha',
function.update_noteq this,
have eq : s.inf (λj, function.update p a t₁ j) = s.inf (λj, p j) :=
finset.inf_congr rfl this,
simp only [this, ht₁, hp, function.update_same, true_and, imp_true_iff, eq] {contextual := tt},
exact subset.trans (inter_subset_inter (subset.refl _) ht₂) ht },
assume p hpa hp ht,
exact ⟨p a, hpa, (s.inf p), ⟨⟨p, hp, le_refl _⟩, ht⟩⟩ }
end
/- principal equations -/
@[simp] lemma inf_principal {s t : set α} : principal s ⊓ principal t = principal (s ∩ t) :=
le_antisymm
(by simp; exact ⟨s, subset.refl s, t, subset.refl t, by simp⟩)
(by simp [le_inf_iff, inter_subset_left, inter_subset_right])
@[simp] lemma sup_principal {s t : set α} : principal s ⊔ principal t = principal (s ∪ t) :=
filter_eq $ set.ext $
by simp only [union_subset_iff, union_subset_iff, mem_sup_sets, forall_const, iff_self, mem_principal_sets]
@[simp] lemma supr_principal {ι : Sort w} {s : ι → set α} : (⨆x, principal (s x)) = principal (⋃i, s i) :=
filter_eq $ set.ext $ assume x, by simp only [supr_sets_eq, mem_principal_sets, mem_Inter];
exact (@supr_le_iff (set α) _ _ _ _).symm
lemma principal_univ : principal (univ : set α) = ⊤ :=
top_unique $ by simp only [le_principal_iff, mem_top_sets, eq_self_iff_true]
lemma principal_empty : principal (∅ : set α) = ⊥ :=
bot_unique $ assume s _, empty_subset _
@[simp] lemma principal_eq_bot_iff {s : set α} : principal s = ⊥ ↔ s = ∅ :=
⟨assume h, principal_eq_iff_eq.mp $ by simp only [principal_empty, h, eq_self_iff_true],
assume h, by simp only [h, principal_empty, eq_self_iff_true]⟩
lemma inf_principal_eq_bot {f : filter α} {s : set α} (hs : -s ∈ f) : f ⊓ principal s = ⊥ :=
empty_in_sets_eq_bot.mp ⟨_, hs, s, mem_principal_self s, assume x ⟨h₁, h₂⟩, h₁ h₂⟩
theorem mem_inf_principal (f : filter α) (s t : set α) :
s ∈ f ⊓ principal t ↔ { x | x ∈ t → x ∈ s } ∈ f :=
begin
simp only [mem_inf_sets, mem_principal_sets, exists_prop], split,
{ rintros ⟨u, ul, v, tsubv, uvinter⟩,
apply filter.mem_sets_of_superset ul,
intros x xu xt, exact uvinter ⟨xu, tsubv xt⟩ },
intro h, refine ⟨_, h, t, set.subset.refl t, _⟩,
rintros x ⟨hx, xt⟩,
exact hx xt
end
@[simp] lemma infi_principal_finset {ι : Type w} (s : finset ι) (f : ι → set α) :
(⨅i∈s, principal (f i)) = principal (⋂i∈s, f i) :=
begin
ext t,
simp [mem_infi_sets_finset],
split,
{ rintros ⟨p, hp, ht⟩,
calc (⋂ (i : ι) (H : i ∈ s), f i) ≤ (⋂ (i : ι) (H : i ∈ s), p i) :
infi_le_infi (λi, infi_le_infi (λhi, mem_principal_sets.1 (hp i hi)))
... ≤ t : ht },
{ assume h,
exact ⟨f, λi hi, subset.refl _, h⟩ }
end
@[simp] lemma infi_principal_fintype {ι : Type w} [fintype ι] (f : ι → set α) :
(⨅i, principal (f i)) = principal (⋂i, f i) :=
by simpa using infi_principal_finset finset.univ f
end lattice
section map
/-- The forward map of a filter -/
def map (m : α → β) (f : filter α) : filter β :=
{ sets := preimage m ⁻¹' f.sets,
univ_sets := univ_mem_sets,
sets_of_superset := assume s t hs st, mem_sets_of_superset hs $ preimage_mono st,
inter_sets := assume s t hs ht, inter_mem_sets hs ht }
@[simp] lemma map_principal {s : set α} {f : α → β} :
map f (principal s) = principal (set.image f s) :=
filter_eq $ set.ext $ assume a, image_subset_iff.symm
variables {f : filter α} {m : α → β} {m' : β → γ} {s : set α} {t : set β}
@[simp] lemma mem_map : t ∈ map m f ↔ {x | m x ∈ t} ∈ f := iff.rfl
lemma image_mem_map (hs : s ∈ f) : m '' s ∈ map m f :=
f.sets_of_superset hs $ subset_preimage_image m s
lemma range_mem_map : range m ∈ map m f :=
by rw ←image_univ; exact image_mem_map univ_mem_sets
lemma mem_map_sets_iff : t ∈ map m f ↔ (∃s∈f, m '' s ⊆ t) :=
iff.intro
(assume ht, ⟨set.preimage m t, ht, image_preimage_subset _ _⟩)
(assume ⟨s, hs, ht⟩, mem_sets_of_superset (image_mem_map hs) ht)
@[simp] lemma map_id : filter.map id f = f :=
filter_eq $ rfl
@[simp] lemma map_compose : filter.map m' ∘ filter.map m = filter.map (m' ∘ m) :=
funext $ assume _, filter_eq $ rfl
@[simp] lemma map_map : filter.map m' (filter.map m f) = filter.map (m' ∘ m) f :=
congr_fun (@@filter.map_compose m m') f
end map
section comap
/-- The inverse map of a filter -/
def comap (m : α → β) (f : filter β) : filter α :=
{ sets := { s | ∃t∈ f, m ⁻¹' t ⊆ s },
univ_sets := ⟨univ, univ_mem_sets, by simp only [subset_univ, preimage_univ]⟩,
sets_of_superset := assume a b ⟨a', ha', ma'a⟩ ab,
⟨a', ha', subset.trans ma'a ab⟩,
inter_sets := assume a b ⟨a', ha₁, ha₂⟩ ⟨b', hb₁, hb₂⟩,
⟨a' ∩ b', inter_mem_sets ha₁ hb₁, inter_subset_inter ha₂ hb₂⟩ }
end comap
/-- The cofinite filter is the filter of subsets whose complements are finite. -/
def cofinite : filter α :=
{ sets := {s | finite (- s)},
univ_sets := by simp only [compl_univ, finite_empty, mem_set_of_eq],
sets_of_superset := assume s t (hs : finite (-s)) (st: s ⊆ t),
finite_subset hs $ @lattice.neg_le_neg (set α) _ _ _ st,
inter_sets := assume s t (hs : finite (-s)) (ht : finite (-t)),
by simp only [compl_inter, finite_union, ht, hs, mem_set_of_eq] }
lemma cofinite_ne_bot (hi : set.infinite (@set.univ α)) : @cofinite α ≠ ⊥ :=
forall_sets_neq_empty_iff_neq_bot.mp
$ λ s hs hn, by change set.finite _ at hs;
rw [hn, set.compl_empty] at hs; exact hi hs
/-- The monadic bind operation on filter is defined the usual way in terms of `map` and `join`.
Unfortunately, this `bind` does not result in the expected applicative. See `filter.seq` for the
applicative instance. -/
def bind (f : filter α) (m : α → filter β) : filter β := join (map m f)
/-- The applicative sequentiation operation. This is not induced by the bind operation. -/
def seq (f : filter (α → β)) (g : filter α) : filter β :=
⟨{ s | ∃u∈ f, ∃t∈ g, (∀m∈u, ∀x∈t, (m : α → β) x ∈ s) },
⟨univ, univ_mem_sets, univ, univ_mem_sets, by simp only [forall_prop_of_true, mem_univ, forall_true_iff]⟩,
assume s₀ s₁ ⟨t₀, t₁, h₀, h₁, h⟩ hst, ⟨t₀, t₁, h₀, h₁, assume x hx y hy, hst $ h _ hx _ hy⟩,
assume s₀ s₁ ⟨t₀, ht₀, t₁, ht₁, ht⟩ ⟨u₀, hu₀, u₁, hu₁, hu⟩,
⟨t₀ ∩ u₀, inter_mem_sets ht₀ hu₀, t₁ ∩ u₁, inter_mem_sets ht₁ hu₁,
assume x ⟨hx₀, hx₁⟩ x ⟨hy₀, hy₁⟩, ⟨ht _ hx₀ _ hy₀, hu _ hx₁ _ hy₁⟩⟩⟩
instance : has_pure filter := ⟨λ(α : Type u) x, principal {x}⟩
instance : has_bind filter := ⟨@filter.bind⟩
instance : has_seq filter := ⟨@filter.seq⟩
instance : functor filter := { map := @filter.map }
section
-- this section needs to be before applicative, otherwise the wrong instance will be chosen
protected def monad : monad filter := { map := @filter.map }
local attribute [instance] filter.monad
protected lemma is_lawful_monad : is_lawful_monad filter :=
{ id_map := assume α f, filter_eq rfl,
pure_bind := assume α β a f, by simp only [has_bind.bind, pure, bind, Sup_image, image_singleton,
join_principal_eq_Sup, lattice.Sup_singleton, map_principal, eq_self_iff_true],
bind_assoc := assume α β γ f m₁ m₂, filter_eq rfl,
bind_pure_comp_eq_map := assume α β f x, filter_eq $
by simp only [has_bind.bind, pure, functor.map, bind, join, map, preimage, principal,
set.subset_univ, eq_self_iff_true, function.comp_app, mem_set_of_eq, singleton_subset_iff] }
end
instance : applicative filter := { map := @filter.map, seq := @filter.seq }
instance : alternative filter :=
{ failure := λα, ⊥,
orelse := λα x y, x ⊔ y }
@[simp] lemma pure_def (x : α) : pure x = principal {x} := rfl
@[simp] lemma mem_pure {a : α} {s : set α} : a ∈ s → s ∈ (pure a : filter α) :=
by simp only [imp_self, pure_def, mem_principal_sets, singleton_subset_iff]; exact id
@[simp] lemma mem_pure_iff {a : α} {s : set α} : s ∈ (pure a : filter α) ↔ a ∈ s :=
by rw [pure_def, mem_principal_sets, set.singleton_subset_iff]
@[simp] lemma map_def {α β} (m : α → β) (f : filter α) : m <$> f = map m f := rfl
@[simp] lemma bind_def {α β} (f : filter α) (m : α → filter β) : f >>= m = bind f m := rfl
/- map and comap equations -/
section map
variables {f f₁ f₂ : filter α} {g g₁ g₂ : filter β} {m : α → β} {m' : β → γ} {s : set α} {t : set β}
@[simp] theorem mem_comap_sets : s ∈ comap m g ↔ ∃t∈ g, m ⁻¹' t ⊆ s := iff.rfl
theorem preimage_mem_comap (ht : t ∈ g) : m ⁻¹' t ∈ comap m g :=
⟨t, ht, subset.refl _⟩
lemma comap_id : comap id f = f :=
le_antisymm (assume s, preimage_mem_comap) (assume s ⟨t, ht, hst⟩, mem_sets_of_superset ht hst)
lemma comap_comap_comp {m : γ → β} {n : β → α} : comap m (comap n f) = comap (n ∘ m) f :=
le_antisymm
(assume c ⟨b, hb, (h : preimage (n ∘ m) b ⊆ c)⟩, ⟨preimage n b, preimage_mem_comap hb, h⟩)
(assume c ⟨b, ⟨a, ha, (h₁ : preimage n a ⊆ b)⟩, (h₂ : preimage m b ⊆ c)⟩,
⟨a, ha, show preimage m (preimage n a) ⊆ c, from subset.trans (preimage_mono h₁) h₂⟩)
@[simp] theorem comap_principal {t : set β} : comap m (principal t) = principal (m ⁻¹' t) :=
filter_eq $ set.ext $ assume s,
⟨assume ⟨u, (hu : t ⊆ u), (b : preimage m u ⊆ s)⟩, subset.trans (preimage_mono hu) b,
assume : preimage m t ⊆ s, ⟨t, subset.refl t, this⟩⟩
lemma map_le_iff_le_comap : map m f ≤ g ↔ f ≤ comap m g :=
⟨assume h s ⟨t, ht, hts⟩, mem_sets_of_superset (h ht) hts, assume h s ht, h ⟨_, ht, subset.refl _⟩⟩
lemma gc_map_comap (m : α → β) : galois_connection (map m) (comap m) :=
assume f g, map_le_iff_le_comap
lemma map_mono : monotone (map m) := (gc_map_comap m).monotone_l
lemma comap_mono : monotone (comap m) := (gc_map_comap m).monotone_u
@[simp] lemma map_bot : map m ⊥ = ⊥ := (gc_map_comap m).l_bot
@[simp] lemma map_sup : map m (f₁ ⊔ f₂) = map m f₁ ⊔ map m f₂ := (gc_map_comap m).l_sup
@[simp] lemma map_supr {f : ι → filter α} : map m (⨆i, f i) = (⨆i, map m (f i)) :=
(gc_map_comap m).l_supr
@[simp] lemma comap_top : comap m ⊤ = ⊤ := (gc_map_comap m).u_top
@[simp] lemma comap_inf : comap m (g₁ ⊓ g₂) = comap m g₁ ⊓ comap m g₂ := (gc_map_comap m).u_inf
@[simp] lemma comap_infi {f : ι → filter β} : comap m (⨅i, f i) = (⨅i, comap m (f i)) :=
(gc_map_comap m).u_infi
lemma le_comap_top (f : α → β) (l : filter α) : l ≤ comap f ⊤ :=
by rw [comap_top]; exact le_top
lemma map_comap_le : map m (comap m g) ≤ g := (gc_map_comap m).l_u_le _
lemma le_comap_map : f ≤ comap m (map m f) := (gc_map_comap m).le_u_l _
@[simp] lemma comap_bot : comap m ⊥ = ⊥ :=
bot_unique $ assume s _, ⟨∅, by simp only [mem_bot_sets], by simp only [empty_subset, preimage_empty]⟩
lemma comap_supr {ι} {f : ι → filter β} {m : α → β} :
comap m (supr f) = (⨆i, comap m (f i)) :=
le_antisymm
(assume s hs,
have ∀i, ∃t, t ∈ f i ∧ m ⁻¹' t ⊆ s, by simpa only [mem_comap_sets, exists_prop, mem_supr_sets] using mem_supr_sets.1 hs,
let ⟨t, ht⟩ := classical.axiom_of_choice this in
⟨⋃i, t i, mem_supr_sets.2 $ assume i, (f i).sets_of_superset (ht i).1 (subset_Union _ _),
begin
rw [preimage_Union, Union_subset_iff],
assume i,
exact (ht i).2
end⟩)
(supr_le $ assume i, comap_mono $ le_supr _ _)
lemma comap_Sup {s : set (filter β)} {m : α → β} : comap m (Sup s) = (⨆f∈s, comap m f) :=
by simp only [Sup_eq_supr, comap_supr, eq_self_iff_true]
lemma comap_sup : comap m (g₁ ⊔ g₂) = comap m g₁ ⊔ comap m g₂ :=
le_antisymm
(assume s ⟨⟨t₁, ht₁, hs₁⟩, ⟨t₂, ht₂, hs₂⟩⟩,
⟨t₁ ∪ t₂,
⟨g₁.sets_of_superset ht₁ (subset_union_left _ _), g₂.sets_of_superset ht₂ (subset_union_right _ _)⟩,
union_subset hs₁ hs₂⟩)
((@comap_mono _ _ m).le_map_sup _ _)
lemma map_comap {f : filter β} {m : α → β} (hf : range m ∈ f) : (f.comap m).map m = f :=
le_antisymm
map_comap_le
(assume t' ⟨t, ht, sub⟩, by filter_upwards [ht, hf]; rintros x hxt ⟨y, rfl⟩; exact sub hxt)
lemma comap_map {f : filter α} {m : α → β} (h : ∀ x y, m x = m y → x = y) :
comap m (map m f) = f :=
have ∀s, preimage m (image m s) = s,
from assume s, preimage_image_eq s h,
le_antisymm
(assume s hs, ⟨
image m s,
f.sets_of_superset hs $ by simp only [this, subset.refl],
by simp only [this, subset.refl]⟩)
le_comap_map
lemma le_of_map_le_map_inj' {f g : filter α} {m : α → β} {s : set α}
(hsf : s ∈ f) (hsg : s ∈ g) (hm : ∀x∈s, ∀y∈s, m x = m y → x = y)
(h : map m f ≤ map m g) : f ≤ g :=
assume t ht, by filter_upwards [hsf, h $ image_mem_map (inter_mem_sets hsg ht)]
assume a has ⟨b, ⟨hbs, hb⟩, h⟩,
have b = a, from hm _ hbs _ has h,
this ▸ hb
lemma le_of_map_le_map_inj_iff {f g : filter α} {m : α → β} {s : set α}
(hsf : s ∈ f) (hsg : s ∈ g) (hm : ∀x∈s, ∀y∈s, m x = m y → x = y) :
map m f ≤ map m g ↔ f ≤ g :=
iff.intro (le_of_map_le_map_inj' hsf hsg hm) (λ h, map_mono h)
lemma eq_of_map_eq_map_inj' {f g : filter α} {m : α → β} {s : set α}
(hsf : s ∈ f) (hsg : s ∈ g) (hm : ∀x∈s, ∀y∈s, m x = m y → x = y)
(h : map m f = map m g) : f = g :=
le_antisymm
(le_of_map_le_map_inj' hsf hsg hm $ le_of_eq h)
(le_of_map_le_map_inj' hsg hsf hm $ le_of_eq h.symm)
lemma map_inj {f g : filter α} {m : α → β} (hm : ∀ x y, m x = m y → x = y) (h : map m f = map m g) :
f = g :=
have comap m (map m f) = comap m (map m g), by rw h,
by rwa [comap_map hm, comap_map hm] at this
theorem le_map_comap_of_surjective' {f : α → β} {l : filter β} {u : set β} (ul : u ∈ l)
(hf : ∀ y ∈ u, ∃ x, f x = y) :
l ≤ map f (comap f l) :=
assume s ⟨t, tl, ht⟩,
have t ∩ u ⊆ s, from
assume x ⟨xt, xu⟩,
exists.elim (hf x xu) $ λ a faeq,
by { rw ←faeq, apply ht, change f a ∈ t, rw faeq, exact xt },
mem_sets_of_superset (inter_mem_sets tl ul) this
theorem map_comap_of_surjective' {f : α → β} {l : filter β} {u : set β} (ul : u ∈ l)
(hf : ∀ y ∈ u, ∃ x, f x = y) :
map f (comap f l) = l :=
le_antisymm map_comap_le (le_map_comap_of_surjective' ul hf)
theorem le_map_comap_of_surjective {f : α → β} (hf : function.surjective f) (l : filter β) :
l ≤ map f (comap f l) :=
le_map_comap_of_surjective' univ_mem_sets (λ y _, hf y)
theorem map_comap_of_surjective {f : α → β} (hf : function.surjective f) (l : filter β) :
map f (comap f l) = l :=
le_antisymm map_comap_le (le_map_comap_of_surjective hf l)
lemma comap_neq_bot {f : filter β} {m : α → β}
(hm : ∀t∈ f, ∃a, m a ∈ t) : comap m f ≠ ⊥ :=
forall_sets_neq_empty_iff_neq_bot.mp $ assume s ⟨t, ht, t_s⟩,
let ⟨a, (ha : a ∈ preimage m t)⟩ := hm t ht in
neq_bot_of_le_neq_bot (ne_empty_of_mem ha) t_s
lemma comap_ne_bot_of_range_mem {f : filter β} {m : α → β}
(hf : f ≠ ⊥) (hm : range m ∈ f) : comap m f ≠ ⊥ :=
comap_neq_bot $ assume t ht,
let ⟨_, ha, a, rfl⟩ := inhabited_of_mem_sets hf (inter_mem_sets ht hm)
in ⟨a, ha⟩
lemma comap_inf_principal_ne_bot_of_image_mem {f : filter β} {m : α → β}
(hf : f ≠ ⊥) {s : set α} (hs : m '' s ∈ f) : (comap m f ⊓ principal s) ≠ ⊥ :=
begin
refine compl_compl s ▸ mt mem_sets_of_neq_bot _,
rintros ⟨t, ht, hts⟩,
rcases inhabited_of_mem_sets hf (inter_mem_sets hs ht) with ⟨_, ⟨x, hxs, rfl⟩, hxt⟩,
exact absurd hxs (hts hxt)
end
lemma comap_neq_bot_of_surj {f : filter β} {m : α → β}
(hf : f ≠ ⊥) (hm : function.surjective m) : comap m f ≠ ⊥ :=
comap_ne_bot_of_range_mem hf $ univ_mem_sets' hm
@[simp] lemma map_eq_bot_iff : map m f = ⊥ ↔ f = ⊥ :=
⟨by rw [←empty_in_sets_eq_bot, ←empty_in_sets_eq_bot]; exact id,
assume h, by simp only [h, eq_self_iff_true, map_bot]⟩
lemma map_ne_bot (hf : f ≠ ⊥) : map m f ≠ ⊥ :=
assume h, hf $ by rwa [map_eq_bot_iff] at h
lemma sInter_comap_sets (f : α → β) (F : filter β) :
⋂₀(comap f F).sets = ⋂ U ∈ F, f ⁻¹' U :=
begin
ext x,
suffices : (∀ (A : set α) (B : set β), B ∈ F → f ⁻¹' B ⊆ A → x ∈ A) ↔
∀ (B : set β), B ∈ F → f x ∈ B,
by simp only [mem_sInter, mem_Inter, mem_comap_sets, this, and_imp, mem_comap_sets, exists_prop, mem_sInter,
iff_self, mem_Inter, mem_preimage, exists_imp_distrib],
split,
{ intros h U U_in,
simpa only [set.subset.refl, forall_prop_of_true, mem_preimage] using h (f ⁻¹' U) U U_in },
{ intros h V U U_in f_U_V,
exact f_U_V (h U U_in) },
end
end map
lemma map_cong {m₁ m₂ : α → β} {f : filter α} (h : {x | m₁ x = m₂ x} ∈ f) :
map m₁ f = map m₂ f :=
have ∀(m₁ m₂ : α → β) (h : {x | m₁ x = m₂ x} ∈ f), map m₁ f ≤ map m₂ f,
begin
intros m₁ m₂ h s hs,
show {x | m₁ x ∈ s} ∈ f,
filter_upwards [h, hs],
simp only [subset_def, mem_preimage, mem_set_of_eq, forall_true_iff] {contextual := tt}
end,
le_antisymm (this m₁ m₂ h) (this m₂ m₁ $ mem_sets_of_superset h $ assume x, eq.symm)
-- this is a generic rule for monotone functions:
lemma map_infi_le {f : ι → filter α} {m : α → β} :
map m (infi f) ≤ (⨅ i, map m (f i)) :=
le_infi $ assume i, map_mono $ infi_le _ _
lemma map_infi_eq {f : ι → filter α} {m : α → β} (hf : directed (≥) f) (hι : nonempty ι) :
map m (infi f) = (⨅ i, map m (f i)) :=
le_antisymm
map_infi_le
(assume s (hs : preimage m s ∈ infi f),
have ∃i, preimage m s ∈ f i,
by simp only [infi_sets_eq hf hι, mem_Union] at hs; assumption,
let ⟨i, hi⟩ := this in
have (⨅ i, map m (f i)) ≤ principal s, from
infi_le_of_le i $ by simp only [le_principal_iff, mem_map]; assumption,
by simp only [filter.le_principal_iff] at this; assumption)
lemma map_binfi_eq {ι : Type w} {f : ι → filter α} {m : α → β} {p : ι → Prop}
(h : directed_on (f ⁻¹'o (≥)) {x | p x}) (ne : ∃i, p i) :
map m (⨅i (h : p i), f i) = (⨅i (h: p i), map m (f i)) :=
let ⟨i, hi⟩ := ne in
calc map m (⨅i (h : p i), f i) = map m (⨅i:subtype p, f i.val) : by simp only [infi_subtype, eq_self_iff_true]
... = (⨅i:subtype p, map m (f i.val)) : map_infi_eq
(assume ⟨x, hx⟩ ⟨y, hy⟩, match h x hx y hy with ⟨z, h₁, h₂, h₃⟩ := ⟨⟨z, h₁⟩, h₂, h₃⟩ end)
⟨⟨i, hi⟩⟩
... = (⨅i (h : p i), map m (f i)) : by simp only [infi_subtype, eq_self_iff_true]
lemma map_inf_le {f g : filter α} {m : α → β} : map m (f ⊓ g) ≤ map m f ⊓ map m g :=
(@map_mono _ _ m).map_inf_le f g
lemma map_inf' {f g : filter α} {m : α → β} {t : set α} (htf : t ∈ f) (htg : t ∈ g)
(h : ∀x∈t, ∀y∈t, m x = m y → x = y) : map m (f ⊓ g) = map m f ⊓ map m g :=
begin
refine le_antisymm map_inf_le (assume s hs, _),
simp only [map, mem_inf_sets, exists_prop, mem_map, mem_preimage, mem_inf_sets] at hs ⊢,
rcases hs with ⟨t₁, h₁, t₂, h₂, hs⟩,
refine ⟨m '' (t₁ ∩ t), _, m '' (t₂ ∩ t), _, _⟩,
{ filter_upwards [h₁, htf] assume a h₁ h₂, mem_image_of_mem _ ⟨h₁, h₂⟩ },
{ filter_upwards [h₂, htg] assume a h₁ h₂, mem_image_of_mem _ ⟨h₁, h₂⟩ },
{ rw [image_inter_on],
{ refine image_subset_iff.2 _,
exact λ x ⟨⟨h₁, _⟩, h₂, _⟩, hs ⟨h₁, h₂⟩ },
{ exact λ x ⟨_, hx⟩ y ⟨_, hy⟩, h x hx y hy } }
end
lemma map_inf {f g : filter α} {m : α → β} (h : function.injective m) :
map m (f ⊓ g) = map m f ⊓ map m g :=
map_inf' univ_mem_sets univ_mem_sets (assume x _ y _ hxy, h hxy)
lemma map_eq_comap_of_inverse {f : filter α} {m : α → β} {n : β → α}
(h₁ : m ∘ n = id) (h₂ : n ∘ m = id) : map m f = comap n f :=
le_antisymm
(assume b ⟨a, ha, (h : preimage n a ⊆ b)⟩, f.sets_of_superset ha $
calc a = preimage (n ∘ m) a : by simp only [h₂, preimage_id, eq_self_iff_true]
... ⊆ preimage m b : preimage_mono h)
(assume b (hb : preimage m b ∈ f),
⟨preimage m b, hb, show preimage (m ∘ n) b ⊆ b, by simp only [h₁]; apply subset.refl⟩)
lemma map_swap_eq_comap_swap {f : filter (α × β)} : prod.swap <$> f = comap prod.swap f :=
map_eq_comap_of_inverse prod.swap_swap_eq prod.swap_swap_eq
lemma le_map {f : filter α} {m : α → β} {g : filter β} (h : ∀s∈ f, m '' s ∈ g) :
g ≤ f.map m :=
assume s hs, mem_sets_of_superset (h _ hs) $ image_preimage_subset _ _
section applicative
@[simp] lemma mem_pure_sets {a : α} {s : set α} :
s ∈ (pure a : filter α) ↔ a ∈ s :=
by simp only [iff_self, pure_def, mem_principal_sets, singleton_subset_iff]
lemma singleton_mem_pure_sets {a : α} : {a} ∈ (pure a : filter α) :=
by simp only [mem_singleton, pure_def, mem_principal_sets, singleton_subset_iff]
@[simp] lemma pure_neq_bot {α : Type u} {a : α} : pure a ≠ (⊥ : filter α) :=
by simp only [pure, has_pure.pure, ne.def, not_false_iff, singleton_ne_empty, principal_eq_bot_iff]
lemma mem_seq_sets_def {f : filter (α → β)} {g : filter α} {s : set β} :
s ∈ f.seq g ↔ (∃u ∈ f, ∃t ∈ g, ∀x∈u, ∀y∈t, (x : α → β) y ∈ s) :=
iff.rfl
lemma mem_seq_sets_iff {f : filter (α → β)} {g : filter α} {s : set β} :
s ∈ f.seq g ↔ (∃u ∈ f, ∃t ∈ g, set.seq u t ⊆ s) :=
by simp only [mem_seq_sets_def, seq_subset, exists_prop, iff_self]
lemma mem_map_seq_iff {f : filter α} {g : filter β} {m : α → β → γ} {s : set γ} :
s ∈ (f.map m).seq g ↔ (∃t u, t ∈ g ∧ u ∈ f ∧ ∀x∈u, ∀y∈t, m x y ∈ s) :=
iff.intro
(assume ⟨t, ht, s, hs, hts⟩, ⟨s, m ⁻¹' t, hs, ht, assume a, hts _⟩)
(assume ⟨t, s, ht, hs, hts⟩, ⟨m '' s, image_mem_map hs, t, ht, assume f ⟨a, has, eq⟩, eq ▸ hts _ has⟩)
lemma seq_mem_seq_sets {f : filter (α → β)} {g : filter α} {s : set (α → β)} {t : set α}
(hs : s ∈ f) (ht : t ∈ g) : s.seq t ∈ f.seq g :=
⟨s, hs, t, ht, assume f hf a ha, ⟨f, hf, a, ha, rfl⟩⟩
lemma le_seq {f : filter (α → β)} {g : filter α} {h : filter β}
(hh : ∀t ∈ f, ∀u ∈ g, set.seq t u ∈ h) : h ≤ seq f g :=
assume s ⟨t, ht, u, hu, hs⟩, mem_sets_of_superset (hh _ ht _ hu) $
assume b ⟨m, hm, a, ha, eq⟩, eq ▸ hs _ hm _ ha
lemma seq_mono {f₁ f₂ : filter (α → β)} {g₁ g₂ : filter α}
(hf : f₁ ≤ f₂) (hg : g₁ ≤ g₂) : f₁.seq g₁ ≤ f₂.seq g₂ :=
le_seq $ assume s hs t ht, seq_mem_seq_sets (hf hs) (hg ht)
@[simp] lemma pure_seq_eq_map (g : α → β) (f : filter α) : seq (pure g) f = f.map g :=
begin
refine le_antisymm (le_map $ assume s hs, _) (le_seq $ assume s hs t ht, _),
{ rw ← singleton_seq, apply seq_mem_seq_sets _ hs,
simp only [mem_singleton, pure_def, mem_principal_sets, singleton_subset_iff] },
{ rw mem_pure_sets at hs,
refine sets_of_superset (map g f) (image_mem_map ht) _,
rintros b ⟨a, ha, rfl⟩, exact ⟨g, hs, a, ha, rfl⟩ }
end
@[simp] lemma map_pure (f : α → β) (a : α) : map f (pure a) = pure (f a) :=
le_antisymm
(le_principal_iff.2 $ sets_of_superset (map f (pure a)) (image_mem_map singleton_mem_pure_sets) $
by simp only [image_singleton, mem_singleton, singleton_subset_iff])
(le_map $ assume s, begin
simp only [mem_image, pure_def, mem_principal_sets, singleton_subset_iff],
exact assume has, ⟨a, has, rfl⟩
end)
@[simp] lemma seq_pure (f : filter (α → β)) (a : α) : seq f (pure a) = map (λg:α → β, g a) f :=
begin
refine le_antisymm (le_map $ assume s hs, _) (le_seq $ assume s hs t ht, _),
{ rw ← seq_singleton, exact seq_mem_seq_sets hs
(by simp only [mem_singleton, pure_def, mem_principal_sets, singleton_subset_iff]) },
{ rw mem_pure_sets at ht,
refine sets_of_superset (map (λg:α→β, g a) f) (image_mem_map hs) _,
rintros b ⟨g, hg, rfl⟩, exact ⟨g, hg, a, ht, rfl⟩ }
end
@[simp] lemma seq_assoc (x : filter α) (g : filter (α → β)) (h : filter (β → γ)) :
seq h (seq g x) = seq (seq (map (∘) h) g) x :=
begin
refine le_antisymm (le_seq $ assume s hs t ht, _) (le_seq $ assume s hs t ht, _),
{ rcases mem_seq_sets_iff.1 hs with ⟨u, hu, v, hv, hs⟩,
rcases mem_map_sets_iff.1 hu with ⟨w, hw, hu⟩,
refine mem_sets_of_superset _
(set.seq_mono (subset.trans (set.seq_mono hu (subset.refl _)) hs) (subset.refl _)),
rw ← set.seq_seq,
exact seq_mem_seq_sets hw (seq_mem_seq_sets hv ht) },
{ rcases mem_seq_sets_iff.1 ht with ⟨u, hu, v, hv, ht⟩,
refine mem_sets_of_superset _ (set.seq_mono (subset.refl _) ht),
rw set.seq_seq,
exact seq_mem_seq_sets (seq_mem_seq_sets (image_mem_map hs) hu) hv }
end
lemma prod_map_seq_comm (f : filter α) (g : filter β) :
(map prod.mk f).seq g = seq (map (λb a, (a, b)) g) f :=
begin
refine le_antisymm (le_seq $ assume s hs t ht, _) (le_seq $ assume s hs t ht, _),
{ rcases mem_map_sets_iff.1 hs with ⟨u, hu, hs⟩,
refine mem_sets_of_superset _ (set.seq_mono hs (subset.refl _)),
rw ← set.prod_image_seq_comm,
exact seq_mem_seq_sets (image_mem_map ht) hu },
{ rcases mem_map_sets_iff.1 hs with ⟨u, hu, hs⟩,
refine mem_sets_of_superset _ (set.seq_mono hs (subset.refl _)),
rw set.prod_image_seq_comm,
exact seq_mem_seq_sets (image_mem_map ht) hu }
end
instance : is_lawful_functor (filter : Type u → Type u) :=
{ id_map := assume α f, map_id,
comp_map := assume α β γ f g a, map_map.symm }
instance : is_lawful_applicative (filter : Type u → Type u) :=
{ pure_seq_eq_map := assume α β, pure_seq_eq_map,
map_pure := assume α β, map_pure,
seq_pure := assume α β, seq_pure,
seq_assoc := assume α β γ, seq_assoc }
instance : is_comm_applicative (filter : Type u → Type u) :=
⟨assume α β f g, prod_map_seq_comm f g⟩
lemma {l} seq_eq_filter_seq {α β : Type l} (f : filter (α → β)) (g : filter α) :
f <*> g = seq f g := rfl
end applicative
/- bind equations -/
section bind
@[simp] lemma mem_bind_sets {s : set β} {f : filter α} {m : α → filter β} :
s ∈ bind f m ↔ ∃t ∈ f, ∀x ∈ t, s ∈ m x :=
calc s ∈ bind f m ↔ {a | s ∈ m a} ∈ f : by simp only [bind, mem_map, iff_self, mem_join_sets, mem_set_of_eq]
... ↔ (∃t ∈ f, t ⊆ {a | s ∈ m a}) : exists_sets_subset_iff.symm
... ↔ (∃t ∈ f, ∀x ∈ t, s ∈ m x) : iff.rfl
lemma bind_mono {f : filter α} {g h : α → filter β} (h₁ : {a | g a ≤ h a} ∈ f) :
bind f g ≤ bind f h :=
assume x h₂, show (_ ∈ f), by filter_upwards [h₁, h₂] assume s gh' h', gh' h'
lemma bind_sup {f g : filter α} {h : α → filter β} :
bind (f ⊔ g) h = bind f h ⊔ bind g h :=
by simp only [bind, sup_join, map_sup, eq_self_iff_true]
lemma bind_mono2 {f g : filter α} {h : α → filter β} (h₁ : f ≤ g) :
bind f h ≤ bind g h :=
assume s h', h₁ h'
lemma principal_bind {s : set α} {f : α → filter β} :
(bind (principal s) f) = (⨆x ∈ s, f x) :=
show join (map f (principal s)) = (⨆x ∈ s, f x),
by simp only [Sup_image, join_principal_eq_Sup, map_principal, eq_self_iff_true]
end bind
lemma infi_neq_bot_of_directed {f : ι → filter α}
(hn : nonempty α) (hd : directed (≥) f) (hb : ∀i, f i ≠ ⊥) : (infi f) ≠ ⊥ :=
let ⟨x⟩ := hn in
assume h, have he: ∅ ∈ (infi f), from h.symm ▸ (mem_bot_sets : ∅ ∈ (⊥ : filter α)),
classical.by_cases
(assume : nonempty ι,
have ∃i, ∅ ∈ f i,
by rw [mem_infi hd this] at he; simp only [mem_Union] at he; assumption,
let ⟨i, hi⟩ := this in
hb i $ bot_unique $
assume s _, (f i).sets_of_superset hi $ empty_subset _)
(assume : ¬ nonempty ι,
have univ ⊆ (∅ : set α),
begin
rw [←principal_mono, principal_univ, principal_empty, ←h],
exact (le_infi $ assume i, false.elim $ this ⟨i⟩)
end,
this $ mem_univ x)
lemma infi_neq_bot_iff_of_directed {f : ι → filter α}
(hn : nonempty α) (hd : directed (≥) f) : (infi f) ≠ ⊥ ↔ (∀i, f i ≠ ⊥) :=
⟨assume neq_bot i eq_bot, neq_bot $ bot_unique $ infi_le_of_le i $ eq_bot ▸ le_refl _,
infi_neq_bot_of_directed hn hd⟩
lemma mem_infi_sets {f : ι → filter α} (i : ι) : ∀{s}, s ∈ f i → s ∈ ⨅i, f i :=
show (⨅i, f i) ≤ f i, from infi_le _ _
@[elab_as_eliminator]
lemma infi_sets_induct {f : ι → filter α} {s : set α} (hs : s ∈ infi f) {p : set α → Prop}
(uni : p univ)
(ins : ∀{i s₁ s₂}, s₁ ∈ f i → p s₂ → p (s₁ ∩ s₂))
(upw : ∀{s₁ s₂}, s₁ ⊆ s₂ → p s₁ → p s₂) : p s :=
begin
rw [mem_infi_finite] at hs,
simp only [mem_Union, (finset.inf_eq_infi _ _).symm] at hs,
rcases hs with ⟨is, his⟩,
revert s,
refine finset.induction_on is _ _,
{ assume s hs, rwa [mem_top_sets.1 hs] },
{ rintros ⟨i⟩ js his ih s hs,
rw [finset.inf_insert, mem_inf_sets] at hs,
rcases hs with ⟨s₁, hs₁, s₂, hs₂, hs⟩,
exact upw hs (ins hs₁ (ih hs₂)) }
end
/- tendsto -/
/-- `tendsto` is the generic "limit of a function" predicate.
`tendsto f l₁ l₂` asserts that for every `l₂` neighborhood `a`,
the `f`-preimage of `a` is an `l₁` neighborhood. -/
def tendsto (f : α → β) (l₁ : filter α) (l₂ : filter β) := l₁.map f ≤ l₂
lemma tendsto_def {f : α → β} {l₁ : filter α} {l₂ : filter β} :
tendsto f l₁ l₂ ↔ ∀ s ∈ l₂, f ⁻¹' s ∈ l₁ := iff.rfl
lemma tendsto_iff_comap {f : α → β} {l₁ : filter α} {l₂ : filter β} :
tendsto f l₁ l₂ ↔ l₁ ≤ l₂.comap f :=
map_le_iff_le_comap
lemma tendsto.congr' {f₁ f₂ : α → β} {l₁ : filter α} {l₂ : filter β}
(hl : {x | f₁ x = f₂ x} ∈ l₁) (h : tendsto f₁ l₁ l₂) : tendsto f₂ l₁ l₂ :=
by rwa [tendsto, ←map_cong hl]
theorem tendsto.congr'r {f₁ f₂ : α → β} {l₁ : filter α} {l₂ : filter β}
(h : ∀ x, f₁ x = f₂ x) : tendsto f₁ l₁ l₂ ↔ tendsto f₂ l₁ l₂ :=
iff_of_eq (by congr'; exact funext h)
theorem tendsto.congr {f₁ f₂ : α → β} {l₁ : filter α} {l₂ : filter β}
(h : ∀ x, f₁ x = f₂ x) : tendsto f₁ l₁ l₂ → tendsto f₂ l₁ l₂ :=
(tendsto.congr'r h).1
lemma tendsto_id' {x y : filter α} : x ≤ y → tendsto id x y :=
by simp only [tendsto, map_id, forall_true_iff] {contextual := tt}
lemma tendsto_id {x : filter α} : tendsto id x x := tendsto_id' $ le_refl x
lemma tendsto.comp {f : α → β} {g : β → γ} {x : filter α} {y : filter β} {z : filter γ}
(hg : tendsto g y z) (hf : tendsto f x y) : tendsto (g ∘ f) x z :=
calc map (g ∘ f) x = map g (map f x) : by rw [map_map]
... ≤ map g y : map_mono hf
... ≤ z : hg
lemma tendsto_le_left {f : α → β} {x y : filter α} {z : filter β}
(h : y ≤ x) : tendsto f x z → tendsto f y z :=
le_trans (map_mono h)
lemma tendsto_le_right {f : α → β} {x : filter α} {y z : filter β}
(h₁ : y ≤ z) (h₂ : tendsto f x y) : tendsto f x z :=
le_trans h₂ h₁
lemma tendsto.ne_bot {f : α → β} {x : filter α} {y : filter β} (h : tendsto f x y) (hx : x ≠ ⊥) :
y ≠ ⊥ :=
neq_bot_of_le_neq_bot (map_ne_bot hx) h
lemma tendsto_map {f : α → β} {x : filter α} : tendsto f x (map f x) := le_refl (map f x)
lemma tendsto_map' {f : β → γ} {g : α → β} {x : filter α} {y : filter γ}
(h : tendsto (f ∘ g) x y) : tendsto f (map g x) y :=
by rwa [tendsto, map_map]
lemma tendsto_map'_iff {f : β → γ} {g : α → β} {x : filter α} {y : filter γ} :
tendsto f (map g x) y ↔ tendsto (f ∘ g) x y :=
by rw [tendsto, map_map]; refl
lemma tendsto_comap {f : α → β} {x : filter β} : tendsto f (comap f x) x :=
map_comap_le
lemma tendsto_comap_iff {f : α → β} {g : β → γ} {a : filter α} {c : filter γ} :
tendsto f a (c.comap g) ↔ tendsto (g ∘ f) a c :=
⟨assume h, tendsto_comap.comp h, assume h, map_le_iff_le_comap.mp $ by rwa [map_map]⟩
lemma tendsto_comap'_iff {m : α → β} {f : filter α} {g : filter β} {i : γ → α}
(h : range i ∈ f) : tendsto (m ∘ i) (comap i f) g ↔ tendsto m f g :=
by rw [tendsto, ← map_compose]; simp only [(∘), map_comap h, tendsto]
lemma comap_eq_of_inverse {f : filter α} {g : filter β} {φ : α → β} (ψ : β → α)
(eq : ψ ∘ φ = id) (hφ : tendsto φ f g) (hψ : tendsto ψ g f) : comap φ g = f :=
begin
refine le_antisymm (le_trans (comap_mono $ map_le_iff_le_comap.1 hψ) _) (map_le_iff_le_comap.1 hφ),
rw [comap_comap_comp, eq, comap_id],
exact le_refl _
end
lemma map_eq_of_inverse {f : filter α} {g : filter β} {φ : α → β} (ψ : β → α)
(eq : φ ∘ ψ = id) (hφ : tendsto φ f g) (hψ : tendsto ψ g f) : map φ f = g :=
begin
refine le_antisymm hφ (le_trans _ (map_mono hψ)),
rw [map_map, eq, map_id],
exact le_refl _
end
lemma tendsto_inf {f : α → β} {x : filter α} {y₁ y₂ : filter β} :
tendsto f x (y₁ ⊓ y₂) ↔ tendsto f x y₁ ∧ tendsto f x y₂ :=
by simp only [tendsto, lattice.le_inf_iff, iff_self]
lemma tendsto_inf_left {f : α → β} {x₁ x₂ : filter α} {y : filter β}
(h : tendsto f x₁ y) : tendsto f (x₁ ⊓ x₂) y :=
le_trans (map_mono inf_le_left) h
lemma tendsto_inf_right {f : α → β} {x₁ x₂ : filter α} {y : filter β}
(h : tendsto f x₂ y) : tendsto f (x₁ ⊓ x₂) y :=
le_trans (map_mono inf_le_right) h
lemma tendsto.inf {f : α → β} {x₁ x₂ : filter α} {y₁ y₂ : filter β}
(h₁ : tendsto f x₁ y₁) (h₂ : tendsto f x₂ y₂) : tendsto f (x₁ ⊓ x₂) (y₁ ⊓ y₂) :=
tendsto_inf.2 ⟨tendsto_inf_left h₁, tendsto_inf_right h₂⟩
lemma tendsto_infi {f : α → β} {x : filter α} {y : ι → filter β} :
tendsto f x (⨅i, y i) ↔ ∀i, tendsto f x (y i) :=
by simp only [tendsto, iff_self, lattice.le_infi_iff]
lemma tendsto_infi' {f : α → β} {x : ι → filter α} {y : filter β} (i : ι) :
tendsto f (x i) y → tendsto f (⨅i, x i) y :=
tendsto_le_left (infi_le _ _)
lemma tendsto_principal {f : α → β} {a : filter α} {s : set β} :
tendsto f a (principal s) ↔ {a | f a ∈ s} ∈ a :=
by simp only [tendsto, le_principal_iff, mem_map, iff_self]
lemma tendsto_principal_principal {f : α → β} {s : set α} {t : set β} :
tendsto f (principal s) (principal t) ↔ ∀a∈s, f a ∈ t :=
by simp only [tendsto, image_subset_iff, le_principal_iff, map_principal, mem_principal_sets]; refl
lemma tendsto_pure_pure (f : α → β) (a : α) :
tendsto f (pure a) (pure (f a)) :=
show filter.map f (pure a) ≤ pure (f a),
by rw [filter.map_pure]; exact le_refl _
lemma tendsto_const_pure {a : filter α} {b : β} : tendsto (λa, b) a (pure b) :=
by simp [tendsto]; exact univ_mem_sets
lemma tendsto_if {l₁ : filter α} {l₂ : filter β}
{f g : α → β} {p : α → Prop} [decidable_pred p]
(h₀ : tendsto f (l₁ ⊓ principal p) l₂)
(h₁ : tendsto g (l₁ ⊓ principal { x | ¬ p x }) l₂) :
tendsto (λ x, if p x then f x else g x) l₁ l₂ :=
begin
revert h₀ h₁, simp only [tendsto_def, mem_inf_principal],
intros h₀ h₁ s hs,
apply mem_sets_of_superset (inter_mem_sets (h₀ s hs) (h₁ s hs)),
rintros x ⟨hp₀, hp₁⟩, simp only [mem_preimage],
by_cases h : p x,
{ rw if_pos h, exact hp₀ h },
rw if_neg h, exact hp₁ h
end
section prod
variables {s : set α} {t : set β} {f : filter α} {g : filter β}
/- The product filter cannot be defined using the monad structure on filters. For example:
F := do {x ← seq, y ← top, return (x, y)}
hence:
s ∈ F ↔ ∃n, [n..∞] × univ ⊆ s
G := do {y ← top, x ← seq, return (x, y)}
hence:
s ∈ G ↔ ∀i:ℕ, ∃n, [n..∞] × {i} ⊆ s
Now ⋃i, [i..∞] × {i} is in G but not in F.
As product filter we want to have F as result.
-/
/-- Product of filters. This is the filter generated by cartesian products
of elements of the component filters. -/
protected def prod (f : filter α) (g : filter β) : filter (α × β) :=
f.comap prod.fst ⊓ g.comap prod.snd
lemma prod_mem_prod {s : set α} {t : set β} {f : filter α} {g : filter β}
(hs : s ∈ f) (ht : t ∈ g) : set.prod s t ∈ filter.prod f g :=
inter_mem_inf_sets (preimage_mem_comap hs) (preimage_mem_comap ht)
lemma mem_prod_iff {s : set (α×β)} {f : filter α} {g : filter β} :
s ∈ filter.prod f g ↔ (∃ t₁ ∈ f, ∃ t₂ ∈ g, set.prod t₁ t₂ ⊆ s) :=
begin
simp only [filter.prod],
split,
exact assume ⟨t₁, ⟨s₁, hs₁, hts₁⟩, t₂, ⟨s₂, hs₂, hts₂⟩, h⟩,
⟨s₁, hs₁, s₂, hs₂, subset.trans (inter_subset_inter hts₁ hts₂) h⟩,
exact assume ⟨t₁, ht₁, t₂, ht₂, h⟩,
⟨prod.fst ⁻¹' t₁, ⟨t₁, ht₁, subset.refl _⟩, prod.snd ⁻¹' t₂, ⟨t₂, ht₂, subset.refl _⟩, h⟩
end
lemma tendsto_fst {f : filter α} {g : filter β} : tendsto prod.fst (filter.prod f g) f :=
tendsto_inf_left tendsto_comap
lemma tendsto_snd {f : filter α} {g : filter β} : tendsto prod.snd (filter.prod f g) g :=
tendsto_inf_right tendsto_comap
lemma tendsto.prod_mk {f : filter α} {g : filter β} {h : filter γ} {m₁ : α → β} {m₂ : α → γ}
(h₁ : tendsto m₁ f g) (h₂ : tendsto m₂ f h) : tendsto (λx, (m₁ x, m₂ x)) f (filter.prod g h) :=
tendsto_inf.2 ⟨tendsto_comap_iff.2 h₁, tendsto_comap_iff.2 h₂⟩
lemma prod_infi_left {f : ι → filter α} {g : filter β} (i : ι) :
filter.prod (⨅i, f i) g = (⨅i, filter.prod (f i) g) :=
by rw [filter.prod, comap_infi, infi_inf i]; simp only [filter.prod, eq_self_iff_true]
lemma prod_infi_right {f : filter α} {g : ι → filter β} (i : ι) :
filter.prod f (⨅i, g i) = (⨅i, filter.prod f (g i)) :=
by rw [filter.prod, comap_infi, inf_infi i]; simp only [filter.prod, eq_self_iff_true]
lemma prod_mono {f₁ f₂ : filter α} {g₁ g₂ : filter β} (hf : f₁ ≤ f₂) (hg : g₁ ≤ g₂) :
filter.prod f₁ g₁ ≤ filter.prod f₂ g₂ :=
inf_le_inf (comap_mono hf) (comap_mono hg)
lemma prod_comap_comap_eq {α₁ : Type u} {α₂ : Type v} {β₁ : Type w} {β₂ : Type x}
{f₁ : filter α₁} {f₂ : filter α₂} {m₁ : β₁ → α₁} {m₂ : β₂ → α₂} :
filter.prod (comap m₁ f₁) (comap m₂ f₂) = comap (λp:β₁×β₂, (m₁ p.1, m₂ p.2)) (filter.prod f₁ f₂) :=
by simp only [filter.prod, comap_comap_comp, eq_self_iff_true, comap_inf]
lemma prod_comm' : filter.prod f g = comap (prod.swap) (filter.prod g f) :=
by simp only [filter.prod, comap_comap_comp, (∘), inf_comm, prod.fst_swap,
eq_self_iff_true, prod.snd_swap, comap_inf]
lemma prod_comm : filter.prod f g = map (λp:β×α, (p.2, p.1)) (filter.prod g f) :=
by rw [prod_comm', ← map_swap_eq_comap_swap]; refl
lemma prod_map_map_eq {α₁ : Type u} {α₂ : Type v} {β₁ : Type w} {β₂ : Type x}
{f₁ : filter α₁} {f₂ : filter α₂} {m₁ : α₁ → β₁} {m₂ : α₂ → β₂} :
filter.prod (map m₁ f₁) (map m₂ f₂) = map (λp:α₁×α₂, (m₁ p.1, m₂ p.2)) (filter.prod f₁ f₂) :=
le_antisymm
(assume s hs,
let ⟨s₁, hs₁, s₂, hs₂, h⟩ := mem_prod_iff.mp hs in
filter.sets_of_superset _ (prod_mem_prod (image_mem_map hs₁) (image_mem_map hs₂)) $
calc set.prod (m₁ '' s₁) (m₂ '' s₂) = (λp:α₁×α₂, (m₁ p.1, m₂ p.2)) '' set.prod s₁ s₂ :
set.prod_image_image_eq
... ⊆ _ : by rwa [image_subset_iff])
((tendsto.comp (le_refl _) tendsto_fst).prod_mk (tendsto.comp (le_refl _) tendsto_snd))
lemma map_prod (m : α × β → γ) (f : filter α) (g : filter β) :
map m (f.prod g) = (f.map (λa b, m (a, b))).seq g :=
begin
simp [filter.ext_iff, mem_prod_iff, mem_map_seq_iff],
assume s,
split,
exact assume ⟨t, ht, s, hs, h⟩, ⟨s, hs, t, ht, assume x hx y hy, @h ⟨x, y⟩ ⟨hx, hy⟩⟩,
exact assume ⟨s, hs, t, ht, h⟩, ⟨t, ht, s, hs, assume ⟨x, y⟩ ⟨hx, hy⟩, h x hx y hy⟩
end
lemma prod_eq {f : filter α} {g : filter β} : f.prod g = (f.map prod.mk).seq g :=
have h : _ := map_prod id f g, by rwa [map_id] at h
lemma prod_inf_prod {f₁ f₂ : filter α} {g₁ g₂ : filter β} :
filter.prod f₁ g₁ ⊓ filter.prod f₂ g₂ = filter.prod (f₁ ⊓ f₂) (g₁ ⊓ g₂) :=
by simp only [filter.prod, comap_inf, inf_comm, inf_assoc, lattice.inf_left_comm]
@[simp] lemma prod_bot {f : filter α} : filter.prod f (⊥ : filter β) = ⊥ := by simp [filter.prod]
@[simp] lemma bot_prod {g : filter β} : filter.prod (⊥ : filter α) g = ⊥ := by simp [filter.prod]
@[simp] lemma prod_principal_principal {s : set α} {t : set β} :
filter.prod (principal s) (principal t) = principal (set.prod s t) :=
by simp only [filter.prod, comap_principal, principal_eq_iff_eq, comap_principal, inf_principal]; refl
@[simp] lemma prod_pure_pure {a : α} {b : β} : filter.prod (pure a) (pure b) = pure (a, b) :=
by simp
lemma prod_eq_bot {f : filter α} {g : filter β} : filter.prod f g = ⊥ ↔ (f = ⊥ ∨ g = ⊥) :=
begin
split,
{ assume h,
rcases mem_prod_iff.1 (empty_in_sets_eq_bot.2 h) with ⟨s, hs, t, ht, hst⟩,
rw [subset_empty_iff, set.prod_eq_empty_iff] at hst,
cases hst with s_eq t_eq,
{ left, exact empty_in_sets_eq_bot.1 (s_eq ▸ hs) },
{ right, exact empty_in_sets_eq_bot.1 (t_eq ▸ ht) } },
{ rintros (rfl | rfl),
exact bot_prod,
exact prod_bot }
end
lemma prod_neq_bot {f : filter α} {g : filter β} : filter.prod f g ≠ ⊥ ↔ (f ≠ ⊥ ∧ g ≠ ⊥) :=
by rw [(≠), prod_eq_bot, not_or_distrib]
lemma tendsto_prod_iff {f : α × β → γ} {x : filter α} {y : filter β} {z : filter γ} :
filter.tendsto f (filter.prod x y) z ↔
∀ W ∈ z, ∃ U ∈ x, ∃ V ∈ y, ∀ x y, x ∈ U → y ∈ V → f (x, y) ∈ W :=
by simp only [tendsto_def, mem_prod_iff, prod_sub_preimage_iff, exists_prop, iff_self]
end prod
/- at_top and at_bot -/
/-- `at_top` is the filter representing the limit `→ ∞` on an ordered set.
It is generated by the collection of up-sets `{b | a ≤ b}`.
(The preorder need not have a top element for this to be well defined,
and indeed is trivial when a top element exists.) -/
def at_top [preorder α] : filter α := ⨅ a, principal {b | a ≤ b}
/-- `at_bot` is the filter representing the limit `→ -∞` on an ordered set.
It is generated by the collection of down-sets `{b | b ≤ a}`.
(The preorder need not have a bottom element for this to be well defined,
and indeed is trivial when a bottom element exists.) -/
def at_bot [preorder α] : filter α := ⨅ a, principal {b | b ≤ a}
lemma mem_at_top [preorder α] (a : α) : {b : α | a ≤ b} ∈ @at_top α _ :=
mem_infi_sets a $ subset.refl _
@[simp] lemma at_top_ne_bot [nonempty α] [semilattice_sup α] : (at_top : filter α) ≠ ⊥ :=
infi_neq_bot_of_directed (by apply_instance)
(assume a b, ⟨a ⊔ b, by simp only [ge, le_principal_iff, forall_const, set_of_subset_set_of,
mem_principal_sets, and_self, sup_le_iff, forall_true_iff] {contextual := tt}⟩)
(assume a, by simp only [principal_eq_bot_iff, ne.def, principal_eq_bot_iff]; exact ne_empty_of_mem (le_refl a))
@[simp] lemma mem_at_top_sets [nonempty α] [semilattice_sup α] {s : set α} :
s ∈ (at_top : filter α) ↔ ∃a:α, ∀b≥a, b ∈ s :=
let ⟨a⟩ := ‹nonempty α› in
iff.intro
(assume h, infi_sets_induct h ⟨a, by simp only [forall_const, mem_univ, forall_true_iff]⟩
(assume a s₁ s₂ ha ⟨b, hb⟩, ⟨a ⊔ b,
assume c hc, ⟨ha $ le_trans le_sup_left hc, hb _ $ le_trans le_sup_right hc⟩⟩)
(assume s₁ s₂ h ⟨a, ha⟩, ⟨a, assume b hb, h $ ha _ hb⟩))
(assume ⟨a, h⟩, mem_infi_sets a $ assume x, h x)
lemma map_at_top_eq [nonempty α] [semilattice_sup α] {f : α → β} :
at_top.map f = (⨅a, principal $ f '' {a' | a ≤ a'}) :=
calc map f (⨅a, principal {a' | a ≤ a'}) = (⨅a, map f $ principal {a' | a ≤ a'}) :
map_infi_eq (assume a b, ⟨a ⊔ b, by simp only [ge, le_principal_iff, forall_const, set_of_subset_set_of,
mem_principal_sets, and_self, sup_le_iff, forall_true_iff] {contextual := tt}⟩)
(by apply_instance)
... = (⨅a, principal $ f '' {a' | a ≤ a'}) : by simp only [map_principal, eq_self_iff_true]
lemma tendsto_at_top [preorder β] (m : α → β) (f : filter α) :
tendsto m f at_top ↔ (∀b, {a | b ≤ m a} ∈ f) :=
by simp only [at_top, tendsto_infi, tendsto_principal]; refl
lemma tendsto_at_top_mono' [preorder β] (l : filter α) ⦃f₁ f₂ : α → β⦄ (h : {x | f₁ x ≤ f₂ x} ∈ l) :
tendsto f₁ l at_top → tendsto f₂ l at_top :=
assume h₁, (tendsto_at_top _ _).2 $ λ b, mp_sets ((tendsto_at_top _ _).1 h₁ b)
(monotone_mem_sets (λ a ha ha₁, le_trans ha₁ ha) h)
lemma tendsto_at_top_mono [preorder β] (l : filter α) :
monotone (λ f : α → β, tendsto f l at_top) :=
λ f₁ f₂ h, tendsto_at_top_mono' l $ univ_mem_sets' h
section ordered_monoid
variables [ordered_cancel_comm_monoid β] (l : filter α) {f g : α → β}
lemma tendsto_at_top_add_nonneg_left' (hf : {x | 0 ≤ f x} ∈ l) (hg : tendsto g l at_top) :
tendsto (λ x, f x + g x) l at_top :=
tendsto_at_top_mono' l (monotone_mem_sets (λ x, le_add_of_nonneg_left) hf) hg
lemma tendsto_at_top_add_nonneg_left (hf : ∀ x, 0 ≤ f x) (hg : tendsto g l at_top) :
tendsto (λ x, f x + g x) l at_top :=
tendsto_at_top_add_nonneg_left' l (univ_mem_sets' hf) hg
lemma tendsto_at_top_add_nonneg_right' (hf : tendsto f l at_top) (hg : {x | 0 ≤ g x} ∈ l) :
tendsto (λ x, f x + g x) l at_top :=
tendsto_at_top_mono' l (monotone_mem_sets (λ x, le_add_of_nonneg_right) hg) hf
lemma tendsto_at_top_add_nonneg_right (hf : tendsto f l at_top) (hg : ∀ x, 0 ≤ g x) :
tendsto (λ x, f x + g x) l at_top :=
tendsto_at_top_add_nonneg_right' l hf (univ_mem_sets' hg)
lemma tendsto_at_top_of_add_const_left (C : β) (hf : tendsto (λ x, C + f x) l at_top) :
tendsto f l at_top :=
(tendsto_at_top _ l).2 $ assume b,
monotone_mem_sets (λ x, le_of_add_le_add_left) ((tendsto_at_top _ _).1 hf (C + b))
lemma tendsto_at_top_of_add_const_right (C : β) (hf : tendsto (λ x, f x + C) l at_top) :
tendsto f l at_top :=
(tendsto_at_top _ l).2 $ assume b,
monotone_mem_sets (λ x, le_of_add_le_add_right) ((tendsto_at_top _ _).1 hf (b + C))
lemma tendsto_at_top_of_add_bdd_above_left' (C) (hC : {x | f x ≤ C} ∈ l)
(h : tendsto (λ x, f x + g x) l at_top) :
tendsto g l at_top :=
tendsto_at_top_of_add_const_left l C
(tendsto_at_top_mono' l (monotone_mem_sets (λ x (hx : f x ≤ C), add_le_add_right hx (g x)) hC) h)
lemma tendsto_at_top_of_add_bdd_above_left (C) (hC : ∀ x, f x ≤ C) :
tendsto (λ x, f x + g x) l at_top → tendsto g l at_top :=
tendsto_at_top_of_add_bdd_above_left' l C (univ_mem_sets' hC)
lemma tendsto_at_top_of_add_bdd_above_right' (C) (hC : {x | g x ≤ C} ∈ l)
(h : tendsto (λ x, f x + g x) l at_top) :
tendsto f l at_top :=
tendsto_at_top_of_add_const_right l C
(tendsto_at_top_mono' l (monotone_mem_sets (λ x (hx : g x ≤ C), add_le_add_left hx (f x)) hC) h)
lemma tendsto_at_top_of_add_bdd_above_right (C) (hC : ∀ x, g x ≤ C) :
tendsto (λ x, f x + g x) l at_top → tendsto f l at_top :=
tendsto_at_top_of_add_bdd_above_right' l C (univ_mem_sets' hC)
end ordered_monoid
section ordered_group
variables [ordered_comm_group β] (l : filter α) {f g : α → β}
lemma tendsto_at_top_add_left_of_le' (C : β) (hf : {x | C ≤ f x} ∈ l) (hg : tendsto g l at_top) :
tendsto (λ x, f x + g x) l at_top :=
@tendsto_at_top_of_add_bdd_above_left' _ _ _ l (λ x, -(f x)) (λ x, f x + g x) (-C)
(by simp [hf]) (by simp [hg])
lemma tendsto_at_top_add_left_of_le (C : β) (hf : ∀ x, C ≤ f x) (hg : tendsto g l at_top) :
tendsto (λ x, f x + g x) l at_top :=
tendsto_at_top_add_left_of_le' l C (univ_mem_sets' hf) hg
lemma tendsto_at_top_add_right_of_le' (C : β) (hf : tendsto f l at_top) (hg : {x | C ≤ g x} ∈ l) :
tendsto (λ x, f x + g x) l at_top :=
@tendsto_at_top_of_add_bdd_above_right' _ _ _ l (λ x, f x + g x) (λ x, -(g x)) (-C)
(by simp [hg]) (by simp [hf])
lemma tendsto_at_top_add_right_of_le (C : β) (hf : tendsto f l at_top) (hg : ∀ x, C ≤ g x) :
tendsto (λ x, f x + g x) l at_top :=
tendsto_at_top_add_right_of_le' l C hf (univ_mem_sets' hg)
lemma tendsto_at_top_add_const_left (C : β) (hf : tendsto f l at_top) :
tendsto (λ x, C + f x) l at_top :=
tendsto_at_top_add_left_of_le' l C (univ_mem_sets' $ λ _, le_refl C) hf
lemma tendsto_at_top_add_const_right (C : β) (hf : tendsto f l at_top) :
tendsto (λ x, f x + C) l at_top :=
tendsto_at_top_add_right_of_le' l C hf (univ_mem_sets' $ λ _, le_refl C)
end ordered_group
lemma tendsto_at_top' [nonempty α] [semilattice_sup α] (f : α → β) (l : filter β) :
tendsto f at_top l ↔ (∀s ∈ l, ∃a, ∀b≥a, f b ∈ s) :=
by simp only [tendsto_def, mem_at_top_sets]; refl
theorem tendsto_at_top_principal [nonempty β] [semilattice_sup β] {f : β → α} {s : set α} :
tendsto f at_top (principal s) ↔ ∃N, ∀n≥N, f n ∈ s :=
by rw [tendsto_iff_comap, comap_principal, le_principal_iff, mem_at_top_sets]; refl
/-- A function `f` grows to infinity independent of an order-preserving embedding `e`. -/
lemma tendsto_at_top_embedding {α β γ : Type*} [preorder β] [preorder γ]
{f : α → β} {e : β → γ} {l : filter α}
(hm : ∀b₁ b₂, e b₁ ≤ e b₂ ↔ b₁ ≤ b₂) (hu : ∀c, ∃b, c ≤ e b) :
tendsto (e ∘ f) l at_top ↔ tendsto f l at_top :=
begin
rw [tendsto_at_top, tendsto_at_top],
split,
{ assume hc b,
filter_upwards [hc (e b)] assume a, (hm b (f a)).1 },
{ assume hb c,
rcases hu c with ⟨b, hc⟩,
filter_upwards [hb b] assume a ha, le_trans hc ((hm b (f a)).2 ha) }
end
lemma tendsto_at_top_at_top [nonempty α] [semilattice_sup α] [preorder β] (f : α → β) :
tendsto f at_top at_top ↔ ∀ b : β, ∃ i : α, ∀ a : α, i ≤ a → b ≤ f a :=
iff.trans tendsto_infi $ forall_congr $ assume b, tendsto_at_top_principal
lemma tendsto_at_top_at_bot [nonempty α] [decidable_linear_order α] [preorder β] (f : α → β) :
tendsto f at_top at_bot ↔ ∀ (b : β), ∃ (i : α), ∀ (a : α), i ≤ a → b ≥ f a :=
@tendsto_at_top_at_top α (order_dual β) _ _ _ f
lemma tendsto_at_top_at_top_of_monotone [nonempty α] [semilattice_sup α] [preorder β]
{f : α → β} (hf : monotone f) :
tendsto f at_top at_top ↔ ∀ b : β, ∃ a : α, b ≤ f a :=
(tendsto_at_top_at_top f).trans $ forall_congr $ λ b, exists_congr $ λ a,
⟨λ h, h a (le_refl a), λ h a' ha', le_trans h $ hf ha'⟩
alias tendsto_at_top_at_top_of_monotone ← monotone.tendsto_at_top_at_top
lemma tendsto_finset_range : tendsto finset.range at_top at_top :=
finset.range_mono.tendsto_at_top_at_top.2 finset.exists_nat_subset_range
lemma tendsto_finset_image_at_top_at_top {i : β → γ} {j : γ → β} (h : ∀x, j (i x) = x) :
tendsto (finset.image j) at_top at_top :=
have j ∘ i = id, from funext h,
(finset.image_mono j).tendsto_at_top_at_top.2 $ assume s,
⟨s.image i, by simp only [finset.image_image, this, finset.image_id, le_refl]⟩
lemma prod_at_top_at_top_eq {β₁ β₂ : Type*} [inhabited β₁] [inhabited β₂] [semilattice_sup β₁]
[semilattice_sup β₂] : filter.prod (@at_top β₁ _) (@at_top β₂ _) = @at_top (β₁ × β₂) _ :=
by simp [at_top, prod_infi_left (default β₁), prod_infi_right (default β₂), infi_prod];
exact infi_comm
lemma prod_map_at_top_eq {α₁ α₂ β₁ β₂ : Type*} [inhabited β₁] [inhabited β₂]
[semilattice_sup β₁] [semilattice_sup β₂] (u₁ : β₁ → α₁) (u₂ : β₂ → α₂) :
filter.prod (map u₁ at_top) (map u₂ at_top) = map (prod.map u₁ u₂) at_top :=
by rw [prod_map_map_eq, prod_at_top_at_top_eq, prod.map_def]
/-- A function `f` maps upwards closed sets (at_top sets) to upwards closed sets when it is a
Galois insertion. The Galois "insertion" and "connection" is weakened to only require it to be an
insertion and a connetion above `b'`. -/
lemma map_at_top_eq_of_gc [semilattice_sup α] [semilattice_sup β] {f : α → β} (g : β → α) (b' : β)(hf : monotone f) (gc : ∀a, ∀b≥b', f a ≤ b ↔ a ≤ g b) (hgi : ∀b≥b', b ≤ f (g b)) :
map f at_top = at_top :=
begin
rw [@map_at_top_eq α _ ⟨g b'⟩],
refine le_antisymm
(le_infi $ assume b, infi_le_of_le (g (b ⊔ b')) $ principal_mono.2 $ image_subset_iff.2 _)
(le_infi $ assume a, infi_le_of_le (f a ⊔ b') $ principal_mono.2 _),
{ assume a ha, exact (le_trans le_sup_left $ le_trans (hgi _ le_sup_right) $ hf ha) },
{ assume b hb,
have hb' : b' ≤ b := le_trans le_sup_right hb,
exact ⟨g b, (gc _ _ hb').1 (le_trans le_sup_left hb),
le_antisymm ((gc _ _ hb').2 (le_refl _)) (hgi _ hb')⟩ }
end
lemma map_add_at_top_eq_nat (k : ℕ) : map (λa, a + k) at_top = at_top :=
map_at_top_eq_of_gc (λa, a - k) k
(assume a b h, add_le_add_right h k)
(assume a b h, (nat.le_sub_right_iff_add_le h).symm)
(assume a h, by rw [nat.sub_add_cancel h])
lemma map_sub_at_top_eq_nat (k : ℕ) : map (λa, a - k) at_top = at_top :=
map_at_top_eq_of_gc (λa, a + k) 0
(assume a b h, nat.sub_le_sub_right h _)
(assume a b _, nat.sub_le_right_iff_le_add)
(assume b _, by rw [nat.add_sub_cancel])
lemma tendso_add_at_top_nat (k : ℕ) : tendsto (λa, a + k) at_top at_top :=
le_of_eq (map_add_at_top_eq_nat k)
lemma tendso_sub_at_top_nat (k : ℕ) : tendsto (λa, a - k) at_top at_top :=
le_of_eq (map_sub_at_top_eq_nat k)
lemma tendsto_add_at_top_iff_nat {f : ℕ → α} {l : filter α} (k : ℕ) :
tendsto (λn, f (n + k)) at_top l ↔ tendsto f at_top l :=
show tendsto (f ∘ (λn, n + k)) at_top l ↔ tendsto f at_top l,
by rw [← tendsto_map'_iff, map_add_at_top_eq_nat]
lemma map_div_at_top_eq_nat (k : ℕ) (hk : k > 0) : map (λa, a / k) at_top = at_top :=
map_at_top_eq_of_gc (λb, b * k + (k - 1)) 1
(assume a b h, nat.div_le_div_right h)
(assume a b _,
calc a / k ≤ b ↔ a / k < b + 1 : by rw [← nat.succ_eq_add_one, nat.lt_succ_iff]
... ↔ a < (b + 1) * k : nat.div_lt_iff_lt_mul _ _ hk
... ↔ _ :
begin
cases k,
exact (lt_irrefl _ hk).elim,
simp [mul_add, add_mul, nat.succ_add, nat.lt_succ_iff]
end)
(assume b _,
calc b = (b * k) / k : by rw [nat.mul_div_cancel b hk]
... ≤ (b * k + (k - 1)) / k : nat.div_le_div_right $ nat.le_add_right _ _)
/- ultrafilter -/
section ultrafilter
open zorn
variables {f g : filter α}
/-- An ultrafilter is a minimal (maximal in the set order) proper filter. -/
def is_ultrafilter (f : filter α) := f ≠ ⊥ ∧ ∀g, g ≠ ⊥ → g ≤ f → f ≤ g
lemma ultrafilter_unique (hg : is_ultrafilter g) (hf : f ≠ ⊥) (h : f ≤ g) : f = g :=
le_antisymm h (hg.right _ hf h)
lemma le_of_ultrafilter {g : filter α} (hf : is_ultrafilter f) (h : f ⊓ g ≠ ⊥) :
f ≤ g :=
le_of_inf_eq $ ultrafilter_unique hf h inf_le_left
/-- Equivalent characterization of ultrafilters:
A filter f is an ultrafilter if and only if for each set s,
-s belongs to f if and only if s does not belong to f. -/
lemma ultrafilter_iff_compl_mem_iff_not_mem :
is_ultrafilter f ↔ (∀ s, -s ∈ f ↔ s ∉ f) :=
⟨assume hf s,
⟨assume hns hs,
hf.1 $ empty_in_sets_eq_bot.mp $ by convert f.inter_sets hs hns; rw [inter_compl_self],
assume hs,
have f ≤ principal (-s), from
le_of_ultrafilter hf $ assume h, hs $ mem_sets_of_neq_bot $
by simp only [h, eq_self_iff_true, lattice.neg_neg],
by simp only [le_principal_iff] at this; assumption⟩,
assume hf,
⟨mt empty_in_sets_eq_bot.mpr ((hf ∅).mp (by convert f.univ_sets; rw [compl_empty])),
assume g hg g_le s hs, classical.by_contradiction $ mt (hf s).mpr $
assume : - s ∈ f,
have s ∩ -s ∈ g, from inter_mem_sets hs (g_le this),
by simp only [empty_in_sets_eq_bot, hg, inter_compl_self] at this; contradiction⟩⟩
lemma mem_or_compl_mem_of_ultrafilter (hf : is_ultrafilter f) (s : set α) :
s ∈ f ∨ - s ∈ f :=
classical.or_iff_not_imp_left.2 (ultrafilter_iff_compl_mem_iff_not_mem.mp hf s).mpr
lemma mem_or_mem_of_ultrafilter {s t : set α} (hf : is_ultrafilter f) (h : s ∪ t ∈ f) :
s ∈ f ∨ t ∈ f :=
(mem_or_compl_mem_of_ultrafilter hf s).imp_right
(assume : -s ∈ f, by filter_upwards [this, h] assume x hnx hx, hx.resolve_left hnx)
lemma mem_of_finite_sUnion_ultrafilter {s : set (set α)} (hf : is_ultrafilter f) (hs : finite s)
: ⋃₀ s ∈ f → ∃t∈s, t ∈ f :=
finite.induction_on hs (by simp only [empty_in_sets_eq_bot, hf.left, mem_empty_eq, sUnion_empty,
forall_prop_of_false, exists_false, not_false_iff, exists_prop_of_false]) $
λ t s' ht' hs' ih, by simp only [exists_prop, mem_insert_iff, set.sUnion_insert]; exact
assume h, (mem_or_mem_of_ultrafilter hf h).elim
(assume : t ∈ f, ⟨t, or.inl rfl, this⟩)
(assume h, let ⟨t, hts', ht⟩ := ih h in ⟨t, or.inr hts', ht⟩)
lemma mem_of_finite_Union_ultrafilter {is : set β} {s : β → set α}
(hf : is_ultrafilter f) (his : finite is) (h : (⋃i∈is, s i) ∈ f) : ∃i∈is, s i ∈ f :=
have his : finite (image s is), from finite_image s his,
have h : (⋃₀ image s is) ∈ f, from by simp only [sUnion_image, set.sUnion_image]; assumption,
let ⟨t, ⟨i, hi, h_eq⟩, (ht : t ∈ f)⟩ := mem_of_finite_sUnion_ultrafilter hf his h in
⟨i, hi, h_eq.symm ▸ ht⟩
lemma ultrafilter_map {f : filter α} {m : α → β} (h : is_ultrafilter f) : is_ultrafilter (map m f) :=
by rw ultrafilter_iff_compl_mem_iff_not_mem at ⊢ h; exact assume s, h (m ⁻¹' s)
lemma ultrafilter_pure {a : α} : is_ultrafilter (pure a) :=
begin
rw ultrafilter_iff_compl_mem_iff_not_mem, intro s,
rw [mem_pure_sets, mem_pure_sets], exact iff.rfl
end
lemma ultrafilter_bind {f : filter α} (hf : is_ultrafilter f) {m : α → filter β}
(hm : ∀ a, is_ultrafilter (m a)) : is_ultrafilter (f.bind m) :=
begin
simp only [ultrafilter_iff_compl_mem_iff_not_mem] at ⊢ hf hm, intro s,
dsimp [bind, join, map, preimage],
simp only [hm], apply hf
end
/-- The ultrafilter lemma: Any proper filter is contained in an ultrafilter. -/
lemma exists_ultrafilter (h : f ≠ ⊥) : ∃u, u ≤ f ∧ is_ultrafilter u :=
let
τ := {f' // f' ≠ ⊥ ∧ f' ≤ f},
r : τ → τ → Prop := λt₁ t₂, t₂.val ≤ t₁.val,
⟨a, ha⟩ := inhabited_of_mem_sets h univ_mem_sets,
top : τ := ⟨f, h, le_refl f⟩,
sup : Π(c:set τ), chain r c → τ :=
λc hc, ⟨⨅a:{a:τ // a ∈ insert top c}, a.val.val,
infi_neq_bot_of_directed ⟨a⟩
(directed_of_chain $ chain_insert hc $ assume ⟨b, _, hb⟩ _ _, or.inl hb)
(assume ⟨⟨a, ha, _⟩, _⟩, ha),
infi_le_of_le ⟨top, mem_insert _ _⟩ (le_refl _)⟩
in
have ∀c (hc: chain r c) a (ha : a ∈ c), r a (sup c hc),
from assume c hc a ha, infi_le_of_le ⟨a, mem_insert_of_mem _ ha⟩ (le_refl _),
have (∃ (u : τ), ∀ (a : τ), r u a → r a u),
from exists_maximal_of_chains_bounded (assume c hc, ⟨sup c hc, this c hc⟩) (assume f₁ f₂ f₃ h₁ h₂, le_trans h₂ h₁),
let ⟨uτ, hmin⟩ := this in
⟨uτ.val, uτ.property.right, uτ.property.left, assume g hg₁ hg₂,
hmin ⟨g, hg₁, le_trans hg₂ uτ.property.right⟩ hg₂⟩
/-- Construct an ultrafilter extending a given filter.
The ultrafilter lemma is the assertion that such a filter exists;
we use the axiom of choice to pick one. -/
noncomputable def ultrafilter_of (f : filter α) : filter α :=
if h : f = ⊥ then ⊥ else classical.epsilon (λu, u ≤ f ∧ is_ultrafilter u)
lemma ultrafilter_of_spec (h : f ≠ ⊥) : ultrafilter_of f ≤ f ∧ is_ultrafilter (ultrafilter_of f) :=
begin
have h' := classical.epsilon_spec (exists_ultrafilter h),
simp only [ultrafilter_of, dif_neg, h, dif_neg, not_false_iff],
simp only at h',
assumption
end
lemma ultrafilter_of_le : ultrafilter_of f ≤ f :=
if h : f = ⊥ then by simp only [ultrafilter_of, dif_pos, h, dif_pos, eq_self_iff_true, le_bot_iff]; exact le_refl _
else (ultrafilter_of_spec h).left
lemma ultrafilter_ultrafilter_of (h : f ≠ ⊥) : is_ultrafilter (ultrafilter_of f) :=
(ultrafilter_of_spec h).right
lemma ultrafilter_of_ultrafilter (h : is_ultrafilter f) : ultrafilter_of f = f :=
ultrafilter_unique h (ultrafilter_ultrafilter_of h.left).left ultrafilter_of_le
/-- A filter equals the intersection of all the ultrafilters which contain it. -/
lemma sup_of_ultrafilters (f : filter α) : f = ⨆ (g) (u : is_ultrafilter g) (H : g ≤ f), g :=
begin
refine le_antisymm _ (supr_le $ λ g, supr_le $ λ u, supr_le $ λ H, H),
intros s hs,
-- If s ∉ f.sets, we'll apply the ultrafilter lemma to the restriction of f to -s.
by_contradiction hs',
let j : (-s) → α := subtype.val,
have j_inv_s : j ⁻¹' s = ∅, by
erw [←preimage_inter_range, subtype.val_range, inter_compl_self, preimage_empty],
let f' := comap j f,
have : f' ≠ ⊥,
{ apply mt empty_in_sets_eq_bot.mpr,
rintro ⟨t, htf, ht⟩,
suffices : t ⊆ s, from absurd (f.sets_of_superset htf this) hs',
rw [subset_empty_iff] at ht,
have : j '' (j ⁻¹' t) = ∅, by rw [ht, image_empty],
erw [image_preimage_eq_inter_range, subtype.val_range, ←subset_compl_iff_disjoint,
set.compl_compl] at this,
exact this },
rcases exists_ultrafilter this with ⟨g', g'f', u'⟩,
simp only [supr_sets_eq, mem_Inter] at hs,
have := hs (g'.map subtype.val) (ultrafilter_map u') (map_le_iff_le_comap.mpr g'f'),
rw [←le_principal_iff, map_le_iff_le_comap, comap_principal, j_inv_s, principal_empty,
le_bot_iff] at this,
exact absurd this u'.1
end
/-- The `tendsto` relation can be checked on ultrafilters. -/
lemma tendsto_iff_ultrafilter (f : α → β) (l₁ : filter α) (l₂ : filter β) :
tendsto f l₁ l₂ ↔ ∀ g, is_ultrafilter g → g ≤ l₁ → g.map f ≤ l₂ :=
⟨assume h g u gx, le_trans (map_mono gx) h,
assume h, by rw [sup_of_ultrafilters l₁]; simpa only [tendsto, map_supr, supr_le_iff]⟩
/- The ultrafilter monad. The monad structure on ultrafilters is the
restriction of the one on filters. -/
def ultrafilter (α : Type u) : Type u := {f : filter α // is_ultrafilter f}
def ultrafilter.map (m : α → β) (u : ultrafilter α) : ultrafilter β :=
⟨u.val.map m, ultrafilter_map u.property⟩
def ultrafilter.pure (x : α) : ultrafilter α := ⟨pure x, ultrafilter_pure⟩
def ultrafilter.bind (u : ultrafilter α) (m : α → ultrafilter β) : ultrafilter β :=
⟨u.val.bind (λ a, (m a).val), ultrafilter_bind u.property (λ a, (m a).property)⟩
instance ultrafilter.has_pure : has_pure ultrafilter := ⟨@ultrafilter.pure⟩
instance ultrafilter.has_bind : has_bind ultrafilter := ⟨@ultrafilter.bind⟩
instance ultrafilter.functor : functor ultrafilter := { map := @ultrafilter.map }
instance ultrafilter.monad : monad ultrafilter := { map := @ultrafilter.map }
noncomputable def hyperfilter : filter α := ultrafilter_of cofinite
lemma hyperfilter_le_cofinite (hi : set.infinite (@set.univ α)) : @hyperfilter α ≤ cofinite :=
(ultrafilter_of_spec (cofinite_ne_bot hi)).1
lemma is_ultrafilter_hyperfilter (hi : set.infinite (@set.univ α)) : is_ultrafilter (@hyperfilter α) :=
(ultrafilter_of_spec (cofinite_ne_bot hi)).2
theorem nmem_hyperfilter_of_finite (hi : set.infinite (@set.univ α)) {s : set α} (hf : set.finite s) :
s ∉ @hyperfilter α :=
λ hy,
have hx : -s ∉ hyperfilter :=
λ hs, (ultrafilter_iff_compl_mem_iff_not_mem.mp (is_ultrafilter_hyperfilter hi) s).mp hs hy,
have ht : -s ∈ cofinite.sets := by show -s ∈ {s | _}; rwa [set.mem_set_of_eq, lattice.neg_neg],
hx $ hyperfilter_le_cofinite hi ht
theorem compl_mem_hyperfilter_of_finite (hi : set.infinite (@set.univ α)) {s : set α} (hf : set.finite s) :
-s ∈ @hyperfilter α :=
(ultrafilter_iff_compl_mem_iff_not_mem.mp (is_ultrafilter_hyperfilter hi) s).mpr $
nmem_hyperfilter_of_finite hi hf
theorem mem_hyperfilter_of_finite_compl (hi : set.infinite (@set.univ α)) {s : set α} (hf : set.finite (-s)) :
s ∈ @hyperfilter α :=
have h : _ := compl_mem_hyperfilter_of_finite hi hf,
by rwa [lattice.neg_neg] at h
section
local attribute [instance] filter.monad filter.is_lawful_monad
instance ultrafilter.is_lawful_monad : is_lawful_monad ultrafilter :=
{ id_map := assume α f, subtype.eq (id_map f.val),
pure_bind := assume α β a f, subtype.eq (pure_bind a (subtype.val ∘ f)),
bind_assoc := assume α β γ f m₁ m₂, subtype.eq (filter_eq rfl),
bind_pure_comp_eq_map := assume α β f x, subtype.eq (bind_pure_comp_eq_map _ f x.val) }
end
lemma ultrafilter.eq_iff_val_le_val {u v : ultrafilter α} : u = v ↔ u.val ≤ v.val :=
⟨assume h, by rw h; exact le_refl _,
assume h, by rw subtype.ext; apply ultrafilter_unique v.property u.property.1 h⟩
lemma exists_ultrafilter_iff (f : filter α) : (∃ (u : ultrafilter α), u.val ≤ f) ↔ f ≠ ⊥ :=
⟨assume ⟨u, uf⟩, lattice.neq_bot_of_le_neq_bot u.property.1 uf,
assume h, let ⟨u, uf, hu⟩ := exists_ultrafilter h in ⟨⟨u, hu⟩, uf⟩⟩
end ultrafilter
end filter
namespace filter
variables {α β γ : Type u} {f : β → filter α} {s : γ → set α}
open list
lemma mem_traverse_sets :
∀(fs : list β) (us : list γ),
forall₂ (λb c, s c ∈ f b) fs us → traverse s us ∈ traverse f fs
| [] [] forall₂.nil := mem_pure_sets.2 $ mem_singleton _
| (f::fs) (u::us) (forall₂.cons h hs) := seq_mem_seq_sets (image_mem_map h) (mem_traverse_sets fs us hs)
lemma mem_traverse_sets_iff (fs : list β) (t : set (list α)) :
t ∈ traverse f fs ↔
(∃us:list (set α), forall₂ (λb (s : set α), s ∈ f b) fs us ∧ sequence us ⊆ t) :=
begin
split,
{ induction fs generalizing t,
case nil { simp only [sequence, pure_def, imp_self, forall₂_nil_left_iff, pure_def,
exists_eq_left, mem_principal_sets, set.pure_def, singleton_subset_iff, traverse_nil] },
case cons : b fs ih t {
assume ht,
rcases mem_seq_sets_iff.1 ht with ⟨u, hu, v, hv, ht⟩,
rcases mem_map_sets_iff.1 hu with ⟨w, hw, hwu⟩,
rcases ih v hv with ⟨us, hus, hu⟩,
exact ⟨w :: us, forall₂.cons hw hus, subset.trans (set.seq_mono hwu hu) ht⟩ } },
{ rintros ⟨us, hus, hs⟩,
exact mem_sets_of_superset (mem_traverse_sets _ _ hus) hs }
end
lemma sequence_mono :
∀(as bs : list (filter α)), forall₂ (≤) as bs → sequence as ≤ sequence bs
| [] [] forall₂.nil := le_refl _
| (a::as) (b::bs) (forall₂.cons h hs) := seq_mono (map_mono h) (sequence_mono as bs hs)
end filter
|
39a5c7b14a5333ce4df02ba934e7b20b444b37ea | cf39355caa609c0f33405126beee2739aa3cb77e | /tests/lean/run/have6.lean | cc7f4265cad6304f6880db8991cc3defdc871cae | [
"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 | 600 | lean | prelude
definition Prop : Type.{1} := Type.{0}
constant and : Prop → Prop → Prop
infixl `∧`:25 := and
constant and_intro : forall (a b : Prop), a → b → a ∧ b
constants a b c d : Prop
axiom Ha : a
axiom Hb : b
axiom Hc : c
#check
have a ∧ b, from and_intro a b Ha Hb,
have b ∧ a, from and_intro b a Hb Ha,
have H : a ∧ b, from and_intro a b Ha Hb,
have H : a ∧ b, from and_intro a b Ha Hb,
have a ∧ b, from and_intro a b Ha Hb,
have b ∧ a, from and_intro b a Hb Ha,
have H : a ∧ b, from and_intro a b Ha Hb,
have H : a ∧ b, from and_intro a b Ha Hb,
Ha
|
b0c261b9baeed33a3c3e639102b75d3e867a6429 | c3f2fcd060adfa2ca29f924839d2d925e8f2c685 | /tests/lean/run/tactic27.lean | 560471864d94576ee6af918914c8f94f5e83cc87 | [
"Apache-2.0"
] | permissive | respu/lean | 6582d19a2f2838a28ecd2b3c6f81c32d07b5341d | 8c76419c60b63d0d9f7bc04ebb0b99812d0ec654 | refs/heads/master | 1,610,882,451,231 | 1,427,747,084,000 | 1,427,747,429,000 | null | 0 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 251 | lean | import logic
open tactic
definition my_tac := repeat ([ apply @and.intro
| apply @eq.refl
])
tactic_hint my_tac
theorem T1 {A : Type} {B : Type} (a : A) (b c : B) : a = a ∧ b = b ∧ c = c
|
8c396a6cec76bb9f89f1bc0ec15a42de28cd1337 | b7f22e51856f4989b970961f794f1c435f9b8f78 | /library/theories/finite_group_theory/pgroup.lean | 9c502d5689ffd1cdbb17c5e5c2ded8abba1b0b28 | [
"Apache-2.0"
] | permissive | soonhokong/lean | cb8aa01055ffe2af0fb99a16b4cda8463b882cd1 | 38607e3eb57f57f77c0ac114ad169e9e4262e24f | refs/heads/master | 1,611,187,284,081 | 1,450,766,737,000 | 1,476,122,547,000 | 11,513,992 | 2 | 0 | null | 1,401,763,102,000 | 1,374,182,235,000 | C++ | UTF-8 | Lean | false | false | 15,454 | lean | /-
Copyright (c) 2015 Haitao Zhang. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Author : Haitao Zhang
-/
import theories.number_theory.primes data algebra.group algebra.group_power algebra.group_bigops
import .cyclic .finsubg .hom .perm .action
open nat fin list function subtype
namespace group_theory
section pgroup
open finset fintype
variables {G S : Type} [ambientG : group G] [deceqG : decidable_eq G] [finS : fintype S] [deceqS : decidable_eq S]
include ambientG
definition psubg (H : finset G) (p m : nat) : Prop := prime p ∧ card H = p^m
include deceqG finS deceqS
variables {H : finset G} [subgH : is_finsubg H]
include subgH
variables {hom : G → perm S} [Hom : is_hom_class hom]
include Hom
open finset.partition
lemma card_mod_eq_of_action_by_psubg {p : nat} :
∀ {m : nat}, psubg H p m → (card S) % p = (card (fixed_points hom H)) % p
| 0 := by rewrite [↑psubg, pow_zero]; intro Psubg;
rewrite [finsubg_eq_singleton_one_of_card_one (and.right Psubg), fixed_points_of_one]
| (succ m) := take Ppsubg, begin
rewrite [@orbit_class_equation' G S ambientG _ finS deceqS hom Hom H subgH],
apply add_mod_eq_of_dvd, apply dvd_Sum_of_dvd,
intro s Psin,
rewrite mem_sep_iff at Psin,
cases Psin with Psinorbs Pcardne,
esimp [orbits, equiv_classes, orbit_partition] at Psinorbs,
rewrite mem_image_iff at Psinorbs,
cases Psinorbs with a Pa,
cases Pa with Pain Porb,
substvars,
cases Ppsubg with Pprime PcardH,
have Pdvd : card (orbit hom H a) ∣ p ^ (succ m),
begin
rewrite -PcardH,
apply dvd_of_eq_mul (finset.card (stab hom H a)),
apply orbit_stabilizer_theorem
end,
apply or.elim (eq_one_or_dvd_of_dvd_prime_pow Pprime Pdvd),
intro Pcardeq, contradiction,
intro Ppdvd, exact Ppdvd
end
end pgroup
section psubg_cosets
open finset fintype
variables {G : Type} [ambientG : group G] [finG : fintype G] [deceqG : decidable_eq G]
include ambientG deceqG finG
variables {H : finset G} [finsubgH : is_finsubg H]
include finsubgH
lemma card_psubg_cosets_mod_eq {p : nat} {m : nat} :
psubg H p m → (card (lcoset_type univ H)) % p = card (lcoset_type (normalizer H) H) % p :=
assume Psubg, by rewrite [-card_aol_fixed_points_eq_card_cosets]; exact card_mod_eq_of_action_by_psubg Psubg
end psubg_cosets
section cauchy
lemma prodl_rotl_eq_one_of_prodl_eq_one {A B : Type} [gB : group B] {f : A → B} :
∀ {l : list A}, Prodl l f = 1 → Prodl (list.rotl l) f = 1
| nil := assume Peq, rfl
| (a::l) := begin
rewrite [rotl_cons, Prodl_cons f, Prodl_append _ _ f, Prodl_singleton],
exact mul_eq_one_of_mul_eq_one
end
section rotl_peo
variables {A : Type} [ambA : group A]
include ambA
variable [finA : fintype A]
include finA
variable (A)
definition all_prodl_eq_one (n : nat) : list (list A) :=
map (λ l, cons (Prodl l id)⁻¹ l) (all_lists_of_len n)
variable {A}
lemma prodl_eq_one_of_mem_all_prodl_eq_one {n : nat} {l : list A} : l ∈ all_prodl_eq_one A n → Prodl l id = 1 :=
assume Plin, obtain l' Pl' Pl, from exists_of_mem_map Plin,
by substvars; rewrite [Prodl_cons id _ l', mul.left_inv]
lemma length_of_mem_all_prodl_eq_one {n : nat} {l : list A} : l ∈ all_prodl_eq_one A n → length l = succ n :=
assume Plin, obtain l' Pl' Pl, from exists_of_mem_map Plin,
begin substvars, rewrite [length_cons, length_mem_all_lists Pl'] end
lemma nodup_all_prodl_eq_one {n : nat} : nodup (all_prodl_eq_one A n) :=
nodup_map (take l₁ l₂ Peq, tail_eq_of_cons_eq Peq) nodup_all_lists
lemma all_prodl_eq_one_complete {n : nat} : ∀ {l : list A}, length l = succ n → Prodl l id = 1 → l ∈ all_prodl_eq_one A n
| nil := assume Pleq, by contradiction
| (a::l) := assume Pleq Pprod,
begin
rewrite length_cons at Pleq,
rewrite (Prodl_cons id a l) at Pprod,
rewrite [eq_inv_of_mul_eq_one Pprod],
apply mem_map, apply mem_all_lists, apply succ.inj Pleq
end
open fintype
lemma length_all_prodl_eq_one {n : nat} : length (@all_prodl_eq_one A _ _ n) = (card A)^n :=
eq.trans !length_map length_all_lists
open fin
definition prodseq {n : nat} (s : seq A n) : A := Prodl (upto n) s
definition peo [reducible] {n : nat} (s : seq A n) := prodseq s = 1
definition constseq {n : nat} (s : seq A (succ n)) := ∀ i, s i = s !zero
lemma prodseq_eq {n :nat} {s : seq A n} : prodseq s = Prodl (fun_to_list s) id :=
Prodl_map
lemma prodseq_eq_pow_of_constseq {n : nat} (s : seq A (succ n)) :
constseq s → prodseq s = (s !zero) ^ succ n :=
assume Pc, have Pcl : ∀ i, i ∈ upto (succ n) → s i = s !zero,
from take i, assume Pin, Pc i,
by rewrite [↑prodseq, Prodl_eq_pow_of_const _ Pcl, fin.length_upto]
lemma seq_eq_of_constseq_of_eq {n : nat} {s₁ s₂ : seq A (succ n)} :
constseq s₁ → constseq s₂ → s₁ !zero = s₂ !zero → s₁ = s₂ :=
assume Pc₁ Pc₂ Peq, funext take i, by rewrite [Pc₁ i, Pc₂ i, Peq]
lemma peo_const_one : ∀ {n : nat}, peo (λ i : fin n, (1 : A))
| 0 := rfl
| (succ n) := let s := λ i : fin (succ n), (1 : A) in
have Pconst : constseq s, from take i, rfl,
calc prodseq s = (s !zero) ^ succ n : prodseq_eq_pow_of_constseq s Pconst
... = (1 : A) ^ succ n : rfl
... = 1 : one_pow
variable [deceqA : decidable_eq A]
include deceqA
variable (A)
definition peo_seq [reducible] (n : nat) := {s : seq A (succ n) | peo s}
definition peo_seq_one (n : nat) : peo_seq A n :=
tag (λ i : fin (succ n), (1 : A)) peo_const_one
definition all_prodseq_eq_one (n : nat) : list (seq A (succ n)) :=
dmap (λ l, length l = card (fin (succ n))) list_to_fun (all_prodl_eq_one A n)
definition all_peo_seqs (n : nat) : list (peo_seq A n) :=
dmap peo tag (all_prodseq_eq_one A n)
variable {A}
lemma prodseq_eq_one_of_mem_all_prodseq_eq_one {n : nat} {s : seq A (succ n)} :
s ∈ all_prodseq_eq_one A n → prodseq s = 1 :=
assume Psin, obtain l Pex, from exists_of_mem_dmap Psin,
obtain leq Pin Peq, from Pex,
by rewrite [prodseq_eq, Peq, list_to_fun_to_list, prodl_eq_one_of_mem_all_prodl_eq_one Pin]
lemma all_prodseq_eq_one_complete {n : nat} {s : seq A (succ n)} :
prodseq s = 1 → s ∈ all_prodseq_eq_one A n :=
assume Peq,
have Plin : map s (elems (fin (succ n))) ∈ all_prodl_eq_one A n,
from begin
apply all_prodl_eq_one_complete,
rewrite [length_map], exact length_upto (succ n),
rewrite prodseq_eq at Peq, exact Peq
end,
have Psin : list_to_fun (map s (elems (fin (succ n)))) (length_map_of_fintype s) ∈ all_prodseq_eq_one A n,
from mem_dmap _ Plin,
by rewrite [fun_eq_list_to_fun_map s (length_map_of_fintype s)]; apply Psin
lemma nodup_all_prodseq_eq_one {n : nat} : nodup (all_prodseq_eq_one A n) :=
dmap_nodup_of_dinj dinj_list_to_fun nodup_all_prodl_eq_one
lemma rotl1_peo_of_peo {n : nat} {s : seq A n} : peo s → peo (rotl_fun 1 s) :=
begin rewrite [↑peo, *prodseq_eq, seq_rotl_eq_list_rotl], apply prodl_rotl_eq_one_of_prodl_eq_one end
section
local attribute perm.f [coercion]
lemma rotl_perm_peo_of_peo {n : nat} : ∀ {m} {s : seq A n}, peo s → peo (rotl_perm A n m s)
| 0 := begin rewrite [↑rotl_perm, rotl_seq_zero], intros, assumption end
| (succ m) := take s,
have Pmul : rotl_perm A n (m + 1) s = rotl_fun 1 (rotl_perm A n m s), from
calc s ∘ (rotl (m + 1)) = s ∘ ((rotl m) ∘ (rotl 1)) : rotl_compose
... = s ∘ (rotl m) ∘ (rotl 1) : comp.assoc,
begin
rewrite [-add_one, Pmul], intro P,
exact rotl1_peo_of_peo (rotl_perm_peo_of_peo P)
end
end
lemma nodup_all_peo_seqs {n : nat} : nodup (all_peo_seqs A n) :=
dmap_nodup_of_dinj (dinj_tag peo) nodup_all_prodseq_eq_one
lemma all_peo_seqs_complete {n : nat} : ∀ s : peo_seq A n, s ∈ all_peo_seqs A n :=
take ps, subtype.destruct ps (take s, assume Ps,
have Pin : s ∈ all_prodseq_eq_one A n, from all_prodseq_eq_one_complete Ps,
mem_dmap Ps Pin)
lemma length_all_peo_seqs {n : nat} : length (all_peo_seqs A n) = (card A)^n :=
eq.trans (eq.trans
(show length (all_peo_seqs A n) = length (all_prodseq_eq_one A n), from
have Pmap : map elt_of (all_peo_seqs A n) = all_prodseq_eq_one A n,
from map_dmap_of_inv_of_pos (λ s P, rfl)
(λ s, prodseq_eq_one_of_mem_all_prodseq_eq_one),
by rewrite [-Pmap, length_map])
(show length (all_prodseq_eq_one A n) = length (all_prodl_eq_one A n), from
have Pmap : map fun_to_list (all_prodseq_eq_one A n) = all_prodl_eq_one A n,
from map_dmap_of_inv_of_pos list_to_fun_to_list
(λ l Pin, by rewrite [length_of_mem_all_prodl_eq_one Pin, card_fin]),
by rewrite [-Pmap, length_map]))
length_all_prodl_eq_one
definition peo_seq_is_fintype [instance] {n : nat} : fintype (peo_seq A n) :=
fintype.mk (all_peo_seqs A n) nodup_all_peo_seqs all_peo_seqs_complete
lemma card_peo_seq {n : nat} : card (peo_seq A n) = (card A)^n :=
length_all_peo_seqs
section
variable (A)
local attribute perm.f [coercion]
definition rotl_peo_seq (n : nat) (m : nat) (s : peo_seq A n) : peo_seq A n :=
tag (rotl_perm A (succ n) m (elt_of s)) (rotl_perm_peo_of_peo (has_property s))
variable {A}
end
lemma rotl_peo_seq_zero {n : nat} : rotl_peo_seq A n 0 = id :=
funext take s, subtype.eq begin rewrite [↑rotl_peo_seq, ↑rotl_perm, rotl_seq_zero] end
lemma rotl_peo_seq_id {n : nat} : rotl_peo_seq A n (succ n) = id :=
funext take s, subtype.eq begin rewrite [↑rotl_peo_seq, -rotl_perm_pow_eq, rotl_perm_pow_eq_one] end
lemma rotl_peo_seq_compose {n i j : nat} :
(rotl_peo_seq A n i) ∘ (rotl_peo_seq A n j) = rotl_peo_seq A n (j + i) :=
funext take s, subtype.eq begin rewrite [↑rotl_peo_seq, ↑rotl_perm, ↑rotl_fun, comp.assoc, rotl_compose] end
lemma rotl_peo_seq_mod {n i : nat} : rotl_peo_seq A n i = rotl_peo_seq A n (i % succ n) :=
funext take s, subtype.eq begin rewrite [↑rotl_peo_seq, rotl_perm_mod] end
lemma rotl_peo_seq_inj {n m : nat} : injective (rotl_peo_seq A n m) :=
take ps₁ ps₂, subtype.destruct ps₁ (λ s₁ P₁, subtype.destruct ps₂ (λ s₂ P₂,
assume Peq, tag_eq (rotl_fun_inj (dinj_tag peo _ _ Peq))))
variable (A)
definition rotl_perm_ps [reducible] (n : nat) (m : fin (succ n)) : perm (peo_seq A n) :=
perm.mk (rotl_peo_seq A n m) rotl_peo_seq_inj
variable {A}
variable {n : nat}
lemma rotl_perm_ps_eq {m : fin (succ n)} {s : peo_seq A n} : elt_of (perm.f (rotl_perm_ps A n m) s) = perm.f (rotl_perm A (succ n) m) (elt_of s) := rfl
lemma rotl_perm_ps_eq_of_rotl_perm_eq {i j : fin (succ n)} :
(rotl_perm A (succ n) i) = (rotl_perm A (succ n) j) → (rotl_perm_ps A n i) = (rotl_perm_ps A n j) :=
assume Peq, eq_of_feq (funext take s, subtype.eq (by rewrite [*rotl_perm_ps_eq, Peq]))
lemma rotl_perm_ps_hom (i j : fin (succ n)) :
rotl_perm_ps A n (i+j) = (rotl_perm_ps A n i) * (rotl_perm_ps A n j) :=
eq_of_feq (begin rewrite [↑rotl_perm_ps, {val (i+j)}val_madd, add.comm, -rotl_peo_seq_mod, -rotl_peo_seq_compose] end)
section
local attribute group_of_add_group [instance]
definition rotl_perm_ps_is_hom [instance] : is_hom_class (rotl_perm_ps A n) :=
is_hom_class.mk rotl_perm_ps_hom
open finset
lemma const_of_is_fixed_point {s : peo_seq A n} :
is_fixed_point (rotl_perm_ps A n) univ s → constseq (elt_of s) :=
assume Pfp, take i, begin
rewrite [-(Pfp i !mem_univ) at {1}, rotl_perm_ps_eq, ↑rotl_perm, ↑rotl_fun, {i}mk_mod_eq at {2}, rotl_to_zero]
end
lemma const_of_rotl_fixed_point {s : peo_seq A n} :
s ∈ fixed_points (rotl_perm_ps A n) univ → constseq (elt_of s) :=
assume Psin, take i, begin
apply const_of_is_fixed_point, exact is_fixed_point_of_mem_fixed_points Psin
end
lemma pow_eq_one_of_mem_fixed_points {s : peo_seq A n} :
s ∈ fixed_points (rotl_perm_ps A n) univ → (elt_of s !zero)^(succ n) = 1 :=
assume Psin, eq.trans
(eq.symm (prodseq_eq_pow_of_constseq (elt_of s) (const_of_rotl_fixed_point Psin)))
(has_property s)
lemma peo_seq_one_is_fixed_point : is_fixed_point (rotl_perm_ps A n) univ (peo_seq_one A n) :=
take h, assume Pin, by esimp [rotl_perm_ps]
lemma peo_seq_one_mem_fixed_points : peo_seq_one A n ∈ fixed_points (rotl_perm_ps A n) univ :=
mem_fixed_points_of_exists_of_is_fixed_point (exists.intro !zero !mem_univ) peo_seq_one_is_fixed_point
lemma generator_of_prime_of_dvd_order {p : nat}
: prime p → p ∣ card A → ∃ g : A, g ≠ 1 ∧ g^p = 1 :=
assume Pprime Pdvd,
let pp := nat.pred p, spp := nat.succ pp in
have Peq : spp = p, from succ_pred_prime Pprime,
have Ppsubg : psubg (@univ (fin spp) _) spp 1,
from and.intro (eq.symm Peq ▸ Pprime) (by rewrite [Peq, card_fin, pow_one]),
have (pow_nat (card A) pp) % spp = (card (fixed_points (rotl_perm_ps A pp) univ)) % spp,
by rewrite -card_peo_seq; apply card_mod_eq_of_action_by_psubg Ppsubg,
have Pcardmod : (pow_nat (card A) pp) % p = (card (fixed_points (rotl_perm_ps A pp) univ)) % p,
from Peq ▸ this,
have Pfpcardmod : (card (fixed_points (rotl_perm_ps A pp) univ)) % p = 0,
from eq.trans (eq.symm Pcardmod) (mod_eq_zero_of_dvd (dvd_pow_of_dvd_of_pos Pdvd (pred_prime_pos Pprime))),
have Pfpcardpos : card (fixed_points (rotl_perm_ps A pp) univ) > 0,
from card_pos_of_mem peo_seq_one_mem_fixed_points,
have Pfpcardgt1 : card (fixed_points (rotl_perm_ps A pp) univ) > 1,
from gt_one_of_pos_of_prime_dvd Pprime Pfpcardpos Pfpcardmod,
obtain s₁ s₂ Pin₁ Pin₂ Psnes, from exists_two_of_card_gt_one Pfpcardgt1,
decidable.by_cases
(λ Pe₁ : elt_of s₁ !zero = 1,
have Pne₂ : elt_of s₂ !zero ≠ 1,
from assume Pe₂,
absurd
(subtype.eq (seq_eq_of_constseq_of_eq
(const_of_rotl_fixed_point Pin₁)
(const_of_rotl_fixed_point Pin₂)
(eq.trans Pe₁ (eq.symm Pe₂))))
Psnes,
exists.intro (elt_of s₂ !zero)
(and.intro Pne₂ (Peq ▸ pow_eq_one_of_mem_fixed_points Pin₂)))
(λ Pne, exists.intro (elt_of s₁ !zero)
(and.intro Pne (Peq ▸ pow_eq_one_of_mem_fixed_points Pin₁)))
end
theorem cauchy_theorem {p : nat} : prime p → p ∣ card A → ∃ g : A, order g = p :=
assume Pprime Pdvd,
obtain g Pne Pgpow, from generator_of_prime_of_dvd_order Pprime Pdvd,
have Porder : order g ∣ p, from order_dvd_of_pow_eq_one Pgpow,
or.elim (eq_one_or_eq_self_of_prime_of_dvd Pprime Porder)
(λ Pe, absurd (eq_one_of_order_eq_one Pe) Pne)
(λ Porderp, exists.intro g Porderp)
end rotl_peo
end cauchy
section sylow
open finset fintype
variables {G : Type} [ambientG : group G] [finG : fintype G] [deceqG : decidable_eq G]
include ambientG deceqG finG
theorem first_sylow_theorem {p : nat} (Pp : prime p) :
∀ n, p^n ∣ card G → ∃ (H : finset G) (finsubgH : is_finsubg H), card H = p^n
| 0 := assume Pdvd, exists.intro ('{1})
(exists.intro one_is_finsubg
(by rewrite [pow_zero]))
| (succ n) := assume Pdvd,
obtain H PfinsubgH PcardH, from first_sylow_theorem n (pow_dvd_of_pow_succ_dvd Pdvd),
have Ppsubg : psubg H p n, from and.intro Pp PcardH,
have Ppowsucc : p^(succ n) ∣ (card (lcoset_type univ H) * p^n),
by rewrite [-PcardH, -(lagrange_theorem' !subset_univ)]; exact Pdvd,
have Ppdvd : p ∣ card (lcoset_type (normalizer H) H), from
dvd_of_mod_eq_zero
(by rewrite [-(card_psubg_cosets_mod_eq Ppsubg), -dvd_iff_mod_eq_zero];
exact dvd_of_pow_succ_dvd_mul_pow (pos_of_prime Pp) Ppowsucc),
obtain J PJ, from cauchy_theorem Pp Ppdvd,
exists.intro (fin_coset_Union (cyc J))
(exists.intro _
(by rewrite [pow_succ, -PcardH, -PJ]; apply card_Union_lcosets))
end sylow
end group_theory
|
91092b8b0276138071a1c6f3b6fe441244794775 | 4b846d8dabdc64e7ea03552bad8f7fa74763fc67 | /library/init/meta/comp_value_tactics.lean | cd98b98c35e627745a05d221274d288084de2a1a | [
"Apache-2.0"
] | permissive | pacchiano/lean | 9324b33f3ac3b5c5647285160f9f6ea8d0d767dc | fdadada3a970377a6df8afcd629a6f2eab6e84e8 | refs/heads/master | 1,611,357,380,399 | 1,489,870,101,000 | 1,489,870,101,000 | null | 0 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 2,046 | lean | /-
Copyright (c) 2016 Microsoft Corporation. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Leonardo de Moura
-/
prelude
import init.meta.tactic
meta constant mk_nat_val_ne_proof : expr → expr → option expr
meta constant mk_nat_val_lt_proof : expr → expr → option expr
meta constant mk_nat_val_le_proof : expr → expr → option expr
meta constant mk_fin_val_ne_proof : expr → expr → option expr
meta constant mk_char_val_ne_proof : expr → expr → option expr
meta constant mk_string_val_ne_proof : expr → expr → option expr
meta constant mk_int_val_ne_proof : expr → expr → option expr
namespace tactic
open expr
meta def comp_val : tactic unit :=
do t ← target,
guard (is_app t),
type ← infer_type t^.app_arg,
(do is_def_eq type (const `nat []),
(do (a, b) ← is_ne t,
pr ← mk_nat_val_ne_proof a b,
exact pr)
<|>
(do (a, b) ← is_lt t,
pr ← mk_nat_val_lt_proof a b,
exact pr)
<|>
(do (a, b) ← is_gt t,
pr ← mk_nat_val_lt_proof b a,
exact pr)
<|>
(do (a, b) ← is_le t,
pr ← mk_nat_val_le_proof a b,
exact pr)
<|>
(do (a, b) ← is_ge t,
pr ← mk_nat_val_le_proof b a,
exact pr))
<|>
(do is_def_eq type (const `char []),
(a, b) ← is_ne t,
pr ← mk_char_val_ne_proof a b,
exact pr)
<|>
(do is_def_eq type (const `string []),
(a, b) ← is_ne t,
pr ← mk_string_val_ne_proof a b,
exact pr)
<|>
(do is_def_eq type (const `int []),
(a, b) ← is_ne t,
pr ← mk_int_val_ne_proof a b,
exact pr)
<|>
(do type ← whnf type,
guard (is_napp_of type `fin 1),
(a, b) ← is_ne t,
pr ← mk_fin_val_ne_proof a b,
exact pr)
<|>
(do (a, b) ← is_eq t,
unify a b, to_expr ``(eq.refl %%a) >>= exact)
end tactic
|
06bfa37f920ca2bc481aa5fd78bcf08c42172b6d | 4fa161becb8ce7378a709f5992a594764699e268 | /src/data/equiv/denumerable.lean | cac3b0a0cfcdf4089a8d31e13c1e6ffcdcbfdcf2 | [
"Apache-2.0"
] | permissive | laughinggas/mathlib | e4aa4565ae34e46e834434284cb26bd9d67bc373 | 86dcd5cda7a5017c8b3c8876c89a510a19d49aad | refs/heads/master | 1,669,496,232,688 | 1,592,831,995,000 | 1,592,831,995,000 | 274,155,979 | 0 | 0 | Apache-2.0 | 1,592,835,190,000 | 1,592,835,189,000 | null | UTF-8 | Lean | false | false | 9,135 | lean | /-
Copyright (c) 2018 Mario Carneiro. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Author: Mario Carneiro
Denumerable (countably infinite) types, as a typeclass extending
encodable. This is used to provide explicit encode/decode functions
from nat, where the functions are known inverses of each other.
-/
import data.equiv.encodable
import data.sigma
import data.fintype.basic
import data.list.min_max
open nat
section prio
set_option default_priority 100 -- see Note [default priority]
/-- A denumerable type is one which is (constructively) bijective with ℕ.
Although we already have a name for this property, namely `α ≃ ℕ`,
we are here interested in using it as a typeclass. -/
class denumerable (α : Type*) extends encodable α :=
(decode_inv : ∀ n, ∃ a ∈ decode n, encode a = n)
end prio
namespace denumerable
section
variables {α : Type*} {β : Type*} [denumerable α] [denumerable β]
open encodable
theorem decode_is_some (α) [denumerable α] (n : ℕ) :
(decode α n).is_some :=
option.is_some_iff_exists.2 $
(decode_inv n).imp $ λ a, Exists.fst
def of_nat (α) [f : denumerable α] (n : ℕ) : α :=
option.get (decode_is_some α n)
@[simp, priority 900]
theorem decode_eq_of_nat (α) [denumerable α] (n : ℕ) :
decode α n = some (of_nat α n) :=
option.eq_some_of_is_some _
@[simp] theorem of_nat_of_decode {n b}
(h : decode α n = some b) : of_nat α n = b :=
option.some.inj $ (decode_eq_of_nat _ _).symm.trans h
@[simp] theorem encode_of_nat (n) : encode (of_nat α n) = n :=
let ⟨a, h, e⟩ := decode_inv n in
by rwa [of_nat_of_decode h]
@[simp] theorem of_nat_encode (a) : of_nat α (encode a) = a :=
of_nat_of_decode (encodek _)
def eqv (α) [denumerable α] : α ≃ ℕ :=
⟨encode, of_nat α, of_nat_encode, encode_of_nat⟩
def mk' {α} (e : α ≃ ℕ) : denumerable α :=
{ encode := e,
decode := some ∘ e.symm,
encodek := λ a, congr_arg some (e.symm_apply_apply _),
decode_inv := λ n, ⟨_, rfl, e.apply_symm_apply _⟩ }
def of_equiv (α) {β} [denumerable α] (e : β ≃ α) : denumerable β :=
{ decode_inv := λ n, by simp,
..encodable.of_equiv _ e }
@[simp] theorem of_equiv_of_nat (α) {β} [denumerable α] (e : β ≃ α)
(n) : @of_nat β (of_equiv _ e) n = e.symm (of_nat α n) :=
by apply of_nat_of_decode; show option.map _ _ = _; simp
def equiv₂ (α β) [denumerable α] [denumerable β] : α ≃ β := (eqv α).trans (eqv β).symm
instance nat : denumerable nat := ⟨λ n, ⟨_, rfl, rfl⟩⟩
@[simp] theorem of_nat_nat (n) : of_nat ℕ n = n := rfl
instance option : denumerable (option α) := ⟨λ n, by cases n; simp⟩
instance sum : denumerable (α ⊕ β) :=
⟨λ n, begin
suffices : ∃ a ∈ @decode_sum α β _ _ n,
encode_sum a = bit (bodd n) (div2 n), {simpa [bit_decomp]},
simp [decode_sum]; cases bodd n; simp [decode_sum, bit, encode_sum]
end⟩
section sigma
variables {γ : α → Type*} [∀ a, denumerable (γ a)]
instance sigma : denumerable (sigma γ) :=
⟨λ n, by simp [decode_sigma]; exact ⟨_, _, ⟨rfl, heq.rfl⟩, by simp⟩⟩
@[simp] theorem sigma_of_nat_val (n : ℕ) :
of_nat (sigma γ) n = ⟨of_nat α (unpair n).1, of_nat (γ _) (unpair n).2⟩ :=
option.some.inj $
by rw [← decode_eq_of_nat, decode_sigma_val]; simp; refl
end sigma
instance prod : denumerable (α × β) :=
of_equiv _ (equiv.sigma_equiv_prod α β).symm
@[simp] theorem prod_of_nat_val (n : ℕ) :
of_nat (α × β) n = (of_nat α (unpair n).1, of_nat β (unpair n).2) :=
by simp; refl
@[simp] theorem prod_nat_of_nat : of_nat (ℕ × ℕ) = unpair :=
by funext; simp
instance int : denumerable ℤ := denumerable.mk' equiv.int_equiv_nat
instance pnat : denumerable ℕ+ := denumerable.mk' equiv.pnat_equiv_nat
instance ulift : denumerable (ulift α) := of_equiv _ equiv.ulift
instance plift : denumerable (plift α) := of_equiv _ equiv.plift
def pair : α × α ≃ α := equiv₂ _ _
end
end denumerable
namespace nat.subtype
open function encodable
variables {s : set ℕ} [infinite s]
section classical
open_locale classical
lemma exists_succ (x : s) : ∃ n, x.1 + n + 1 ∈ s :=
classical.by_contradiction $ λ h,
have ∀ (a : ℕ) (ha : a ∈ s), a < x.val.succ,
from λ a ha, lt_of_not_ge (λ hax, h ⟨a - (x.1 + 1),
by rwa [add_right_comm, nat.add_sub_cancel' hax]⟩),
infinite.not_fintype
⟨(((multiset.range x.1.succ).filter (∈ s)).pmap
(λ (y : ℕ) (hy : y ∈ s), subtype.mk y hy)
(by simp [-multiset.range_succ])).to_finset,
by simpa [subtype.ext, multiset.mem_filter, -multiset.range_succ]⟩
end classical
variable [decidable_pred s]
def succ (x : s) : s :=
have h : ∃ m, x.1 + m + 1 ∈ s, from exists_succ x,
⟨x.1 + nat.find h + 1, nat.find_spec h⟩
lemma succ_le_of_lt {x y : s} (h : y < x) : succ y ≤ x :=
have hx : ∃ m, y.1 + m + 1 ∈ s, from exists_succ _,
let ⟨k, hk⟩ := nat.exists_eq_add_of_lt h in
have nat.find hx ≤ k, from nat.find_min' _ (hk ▸ x.2),
show y.1 + nat.find hx + 1 ≤ x.1,
by rw hk; exact add_le_add_right (add_le_add_left this _) _
lemma le_succ_of_forall_lt_le {x y : s} (h : ∀ z < x, z ≤ y) : x ≤ succ y :=
have hx : ∃ m, y.1 + m + 1 ∈ s, from exists_succ _,
show x.1 ≤ y.1 + nat.find hx + 1,
from le_of_not_gt $ λ hxy,
have y.1 + nat.find hx + 1 ≤ y.1 := h ⟨_, nat.find_spec hx⟩ hxy,
not_lt_of_le this $
calc y.1 ≤ y.1 + nat.find hx : le_add_of_nonneg_right (nat.zero_le _)
... < y.1 + nat.find hx + 1 : nat.lt_succ_self _
lemma lt_succ_self (x : s) : x < succ x :=
calc x.1 ≤ x.1 + _ : le_add_right (le_refl _)
... < succ x : nat.lt_succ_self (x.1 + _)
lemma lt_succ_iff_le {x y : s} : x < succ y ↔ x ≤ y :=
⟨λ h, le_of_not_gt (λ h', not_le_of_gt h (succ_le_of_lt h')),
λ h, lt_of_le_of_lt h (lt_succ_self _)⟩
def of_nat (s : set ℕ) [decidable_pred s] [infinite s] : ℕ → s
| 0 := ⊥
| (n+1) := succ (of_nat n)
lemma of_nat_surjective_aux : ∀ {x : ℕ} (hx : x ∈ s), ∃ n, of_nat s n = ⟨x, hx⟩
| x := λ hx, let t : list s := ((list.range x).filter (λ y, y ∈ s)).pmap
(λ (y : ℕ) (hy : y ∈ s), ⟨y, hy⟩) (by simp) in
have hmt : ∀ {y : s}, y ∈ t ↔ y < ⟨x, hx⟩,
by simp [list.mem_filter, subtype.ext, t]; intros; refl,
have wf : ∀ m : s, list.maximum t = m → m.1 < x,
from λ m hmax, by simpa [hmt] using list.maximum_mem hmax,
begin
cases hmax : list.maximum t with m,
{ exact ⟨0, le_antisymm (@bot_le s _ _)
(le_of_not_gt (λ h, list.not_mem_nil (⊥ : s) $
by rw [← list.maximum_eq_none.1 hmax, hmt]; exact h))⟩ },
{ cases of_nat_surjective_aux m.2 with a ha,
exact ⟨a + 1, le_antisymm
(by rw of_nat; exact succ_le_of_lt (by rw ha; exact wf _ hmax)) $
by rw of_nat; exact le_succ_of_forall_lt_le
(λ z hz, by rw ha; cases m; exact list.le_maximum_of_mem (hmt.2 hz) hmax)⟩ }
end
using_well_founded {dec_tac := `[tauto]}
lemma of_nat_surjective : surjective (of_nat s) :=
λ ⟨x, hx⟩, of_nat_surjective_aux hx
private def to_fun_aux (x : s) : ℕ :=
(list.range x).countp s
private lemma to_fun_aux_eq (x : s) :
to_fun_aux x = ((finset.range x).filter s).card :=
by rw [to_fun_aux, list.countp_eq_length_filter]; refl
open finset
private lemma right_inverse_aux : ∀ n, to_fun_aux (of_nat s n) = n
| 0 := begin
rw [to_fun_aux_eq, card_eq_zero, eq_empty_iff_forall_not_mem],
assume n,
rw [mem_filter, of_nat, mem_range],
assume h,
exact not_lt_of_le bot_le (show (⟨n, h.2⟩ : s) < ⊥, from h.1)
end
| (n+1) := have ih : to_fun_aux (of_nat s n) = n, from right_inverse_aux n,
have h₁ : (of_nat s n : ℕ) ∉ (range (of_nat s n)).filter s, by simp,
have h₂ : (range (succ (of_nat s n))).filter s =
insert (of_nat s n) ((range (of_nat s n)).filter s),
begin
simp only [finset.ext_iff, mem_insert, mem_range, mem_filter],
assume m,
exact ⟨λ h, by simp only [h.2, and_true]; exact or.symm
(lt_or_eq_of_le ((@lt_succ_iff_le _ _ _ ⟨m, h.2⟩ _).1 h.1)),
λ h, h.elim (λ h, h.symm ▸ ⟨lt_succ_self _, subtype.property _⟩)
(λ h, ⟨lt_of_le_of_lt (le_of_lt h.1) (lt_succ_self _), h.2⟩)⟩
end,
begin
clear_aux_decl,
simp only [to_fun_aux_eq, of_nat, range_succ] at *,
conv {to_rhs, rw [← ih, ← card_insert_of_not_mem h₁, ← h₂] },
end
def denumerable (s : set ℕ) [decidable_pred s] [infinite s] : denumerable s :=
denumerable.of_equiv ℕ
{ to_fun := to_fun_aux,
inv_fun := of_nat s,
left_inv := left_inverse_of_surjective_of_right_inverse
of_nat_surjective right_inverse_aux,
right_inv := right_inverse_aux }
end nat.subtype
namespace denumerable
open encodable
def of_encodable_of_infinite (α : Type*) [encodable α] [infinite α] : denumerable α :=
begin
letI := @decidable_range_encode α _;
letI : infinite (set.range (@encode α _)) :=
infinite.of_injective _ (equiv.set.range _ encode_injective).injective,
letI := nat.subtype.denumerable (set.range (@encode α _)),
exact denumerable.of_equiv (set.range (@encode α _))
(equiv_range_encode α)
end
end denumerable
|
c204ce103f548a7da15a541e1f42881bccca688f | 4d2583807a5ac6caaffd3d7a5f646d61ca85d532 | /src/linear_algebra/matrix/nonsingular_inverse.lean | 36891b512e5d27757979b6026a88a2dd10a7b166 | [
"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 | 14,747 | lean | /-
Copyright (c) 2019 Tim Baanen. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Tim Baanen, Lu-Ming Zhang
-/
import algebra.regular.smul
import data.matrix.notation
import linear_algebra.matrix.polynomial
import linear_algebra.matrix.adjugate
/-!
# Nonsingular inverses
In this file, we define an inverse for square matrices of invertible determinant.
For matrices that are not square or not of full rank, there is a more general notion of
pseudoinverses which we do not consider here.
The definition of inverse used in this file is the adjugate divided by the determinant.
We show that dividing the adjugate by `det A` (if possible), giving a matrix `A⁻¹` (`nonsing_inv`),
will result in a multiplicative inverse to `A`.
Note that there are at least three different inverses in mathlib:
* `A⁻¹` (`has_inv.inv`): alone, this satisfies no properties, although it is usually used in
conjunction with `group` or `group_with_zero`. On matrices, this is defined to be zero when no
inverse exists.
* `⅟A` (`inv_of`): this is only available in the presence of `[invertible A]`, which guarantees an
inverse exists.
* `ring.inverse A`: this is defined on any `monoid_with_zero`, and just like `⁻¹` on matrices, is
defined to be zero when no inverse exists.
We start by working with `invertible`, and show the main results:
* `matrix.invertible_of_det_invertible`
* `matrix.det_invertible_of_invertible`
* `matrix.is_unit_iff_is_unit_det`
* `matrix.mul_eq_one_comm`
After this we define `matrix.has_inv` and show it matches `⅟A` and `ring.inverse A`.
The rest of the results in the file are then about `A⁻¹`
## References
* https://en.wikipedia.org/wiki/Cramer's_rule#Finding_inverse_matrix
## Tags
matrix inverse, cramer, cramer's rule, adjugate
-/
namespace matrix
universes u v
variables {n : Type u} [decidable_eq n] [fintype n] {α : Type v} [comm_ring α]
open_locale matrix big_operators
open equiv equiv.perm finset
variables (A : matrix n n α) (B : matrix n n α)
/-! ### Matrices are `invertible` iff their determinants are -/
section invertible
/-- A copy of `inv_of_mul_self` using `⬝` not `*`. -/
protected lemma inv_of_mul_self [invertible A] : ⅟A ⬝ A = 1 := inv_of_mul_self A
/-- A copy of `mul_inv_of_self` using `⬝` not `*`. -/
protected lemma mul_inv_of_self [invertible A] : A ⬝ ⅟A = 1 := mul_inv_of_self A
/-- If `A.det` has a constructive inverse, produce one for `A`. -/
def invertible_of_det_invertible [invertible A.det] : invertible A :=
{ inv_of := ⅟A.det • A.adjugate,
mul_inv_of_self :=
by rw [mul_smul_comm, matrix.mul_eq_mul, mul_adjugate, smul_smul, inv_of_mul_self, one_smul],
inv_of_mul_self :=
by rw [smul_mul_assoc, matrix.mul_eq_mul, adjugate_mul, smul_smul, inv_of_mul_self, one_smul] }
lemma inv_of_eq [invertible A.det] [invertible A] : ⅟A = ⅟A.det • A.adjugate :=
by { letI := invertible_of_det_invertible A, convert (rfl : ⅟A = _) }
/-- `A.det` is invertible if `A` has a left inverse. -/
def det_invertible_of_left_inverse (h : B ⬝ A = 1) : invertible A.det :=
{ inv_of := B.det,
mul_inv_of_self := by rw [mul_comm, ← det_mul, h, det_one],
inv_of_mul_self := by rw [← det_mul, h, det_one] }
/-- `A.det` is invertible if `A` has a right inverse. -/
def det_invertible_of_right_inverse (h : A ⬝ B = 1) : invertible A.det :=
{ inv_of := B.det,
mul_inv_of_self := by rw [← det_mul, h, det_one],
inv_of_mul_self := by rw [mul_comm, ← det_mul, h, det_one] }
/-- If `A` has a constructive inverse, produce one for `A.det`. -/
def det_invertible_of_invertible [invertible A] : invertible A.det :=
det_invertible_of_left_inverse A (⅟A) (inv_of_mul_self _)
lemma det_inv_of [invertible A] [invertible A.det] : (⅟A).det = ⅟A.det :=
by { letI := det_invertible_of_invertible A, convert (rfl : _ = ⅟A.det) }
/-- Together `matrix.det_invertible_of_invertible` and `matrix.invertible_of_det_invertible` form an
equivalence, although both sides of the equiv are subsingleton anyway. -/
@[simps]
def invertible_equiv_det_invertible : invertible A ≃ invertible A.det :=
{ to_fun := @det_invertible_of_invertible _ _ _ _ _ A,
inv_fun := @invertible_of_det_invertible _ _ _ _ _ A,
left_inv := λ _, subsingleton.elim _ _,
right_inv := λ _, subsingleton.elim _ _ }
variables {A B}
lemma mul_eq_one_comm : A ⬝ B = 1 ↔ B ⬝ A = 1 :=
suffices ∀ A B, A ⬝ B = 1 → B ⬝ A = 1, from ⟨this A B, this B A⟩, assume A B h,
begin
letI : invertible B.det := det_invertible_of_left_inverse _ _ h,
letI : invertible B := invertible_of_det_invertible B,
calc B ⬝ A = (B ⬝ A) ⬝ (B ⬝ ⅟B) : by rw [matrix.mul_inv_of_self, matrix.mul_one]
... = B ⬝ ((A ⬝ B) ⬝ ⅟B) : by simp only [matrix.mul_assoc]
... = B ⬝ ⅟B : by rw [h, matrix.one_mul]
... = 1 : matrix.mul_inv_of_self B,
end
variables (A B)
/-- We can construct an instance of invertible A if A has a left inverse. -/
def invertible_of_left_inverse (h : B ⬝ A = 1) : invertible A :=
⟨B, h, mul_eq_one_comm.mp h⟩
/-- We can construct an instance of invertible A if A has a right inverse. -/
def invertible_of_right_inverse (h : A ⬝ B = 1) : invertible A :=
⟨B, mul_eq_one_comm.mp h, h⟩
/-- Given a proof that `A.det` has a constructive inverse, lift `A` to `units (matrix n n α)`-/
def unit_of_det_invertible [invertible A.det] : units (matrix n n α) :=
@unit_of_invertible _ _ A (invertible_of_det_invertible A)
/-- When lowered to a prop, `matrix.invertible_equiv_det_invertible` forms an `iff`. -/
lemma is_unit_iff_is_unit_det : is_unit A ↔ is_unit A.det :=
begin
split; rintros ⟨x, hx⟩; refine @is_unit_of_invertible _ _ _ (id _),
{ haveI : invertible A := hx.rec x.invertible,
apply det_invertible_of_invertible, },
{ haveI : invertible A.det := hx.rec x.invertible,
apply invertible_of_det_invertible, },
end
/-! #### Variants of the statements above with `is_unit`-/
lemma is_unit_det_of_invertible [invertible A] : is_unit A.det :=
@is_unit_of_invertible _ _ _ (det_invertible_of_invertible A)
variables {A B}
lemma is_unit_det_of_left_inverse (h : B ⬝ A = 1) : is_unit A.det :=
@is_unit_of_invertible _ _ _ (det_invertible_of_left_inverse _ _ h)
lemma is_unit_det_of_right_inverse (h : A ⬝ B = 1) : is_unit A.det :=
@is_unit_of_invertible _ _ _ (det_invertible_of_right_inverse _ _ h)
lemma det_ne_zero_of_left_inverse [nontrivial α] (h : B ⬝ A = 1) : A.det ≠ 0 :=
(is_unit_det_of_left_inverse h).ne_zero
lemma det_ne_zero_of_right_inverse [nontrivial α] (h : A ⬝ B = 1) : A.det ≠ 0 :=
(is_unit_det_of_right_inverse h).ne_zero
end invertible
open_locale classical
lemma is_unit_det_transpose (h : is_unit A.det) : is_unit Aᵀ.det :=
by { rw det_transpose, exact h, }
/-! ### A noncomputable `has_inv` instance -/
/-- The inverse of a square matrix, when it is invertible (and zero otherwise).-/
noncomputable instance : has_inv (matrix n n α) := ⟨λ A, ring.inverse A.det • A.adjugate⟩
lemma inv_def (A : matrix n n α) : A⁻¹ = ring.inverse A.det • A.adjugate := rfl
lemma nonsing_inv_apply_not_is_unit (h : ¬ is_unit A.det) :
A⁻¹ = 0 :=
by rw [inv_def, ring.inverse_non_unit _ h, zero_smul]
lemma nonsing_inv_apply (h : is_unit A.det) :
A⁻¹ = (↑h.unit⁻¹ : α) • A.adjugate :=
by rw [inv_def, ←ring.inverse_unit h.unit, is_unit.unit_spec]
/-- The nonsingular inverse is the same as `inv_of` when `A` is invertible. -/
@[simp] lemma inv_of_eq_nonsing_inv [invertible A] : ⅟A = A⁻¹ :=
begin
letI := det_invertible_of_invertible A,
rw [inv_def, ring.inverse_invertible, inv_of_eq],
end
/-- The nonsingular inverse is the same as the general `ring.inverse`. -/
lemma nonsing_inv_eq_ring_inverse : A⁻¹ = ring.inverse A :=
begin
by_cases h_det : is_unit A.det,
{ casesI (A.is_unit_iff_is_unit_det.mpr h_det).nonempty_invertible,
rw [←inv_of_eq_nonsing_inv, ring.inverse_invertible], },
{ have h := mt A.is_unit_iff_is_unit_det.mp h_det,
rw [ring.inverse_non_unit _ h, nonsing_inv_apply_not_is_unit A h_det], },
end
lemma transpose_nonsing_inv : (A⁻¹)ᵀ = (Aᵀ)⁻¹ :=
by rw [inv_def, inv_def, transpose_smul, det_transpose, adjugate_transpose]
lemma conj_transpose_nonsing_inv [star_ring α] : (A⁻¹)ᴴ = (Aᴴ)⁻¹ :=
by rw [inv_def, inv_def, conj_transpose_smul, det_conj_transpose, adjugate_conj_transpose,
ring.inverse_star]
/-- The `nonsing_inv` of `A` is a right inverse. -/
@[simp] lemma mul_nonsing_inv (h : is_unit A.det) : A ⬝ A⁻¹ = 1 :=
begin
casesI (A.is_unit_iff_is_unit_det.mpr h).nonempty_invertible,
rw [←inv_of_eq_nonsing_inv, matrix.mul_inv_of_self],
end
/-- The `nonsing_inv` of `A` is a left inverse. -/
@[simp] lemma nonsing_inv_mul (h : is_unit A.det) : A⁻¹ ⬝ A = 1 :=
begin
casesI (A.is_unit_iff_is_unit_det.mpr h).nonempty_invertible,
rw [←inv_of_eq_nonsing_inv, matrix.inv_of_mul_self],
end
@[simp] lemma mul_inv_of_invertible [invertible A] : A ⬝ A⁻¹ = 1 :=
mul_nonsing_inv A (is_unit_det_of_invertible A)
@[simp] lemma inv_mul_of_invertible [invertible A] : A⁻¹ ⬝ A = 1 :=
nonsing_inv_mul A (is_unit_det_of_invertible A)
lemma nonsing_inv_cancel_or_zero :
(A⁻¹ ⬝ A = 1 ∧ A ⬝ A⁻¹ = 1) ∨ A⁻¹ = 0 :=
begin
by_cases h : is_unit A.det,
{ exact or.inl ⟨nonsing_inv_mul _ h, mul_nonsing_inv _ h⟩ },
{ exact or.inr (nonsing_inv_apply_not_is_unit _ h) }
end
lemma det_nonsing_inv_mul_det (h : is_unit A.det) : A⁻¹.det * A.det = 1 :=
by rw [←det_mul, A.nonsing_inv_mul h, det_one]
@[simp] lemma det_nonsing_inv : A⁻¹.det = ring.inverse A.det :=
begin
by_cases h : is_unit A.det,
{ casesI h.nonempty_invertible, letI := invertible_of_det_invertible A,
rw [ring.inverse_invertible, ←inv_of_eq_nonsing_inv, det_inv_of] },
casesI is_empty_or_nonempty n,
{ rw [det_is_empty, det_is_empty, ring.inverse_one] },
{ rw [ring.inverse_non_unit _ h, nonsing_inv_apply_not_is_unit _ h, det_zero ‹_›] },
end
lemma is_unit_nonsing_inv_det (h : is_unit A.det) : is_unit A⁻¹.det :=
is_unit_of_mul_eq_one _ _ (A.det_nonsing_inv_mul_det h)
@[simp] lemma nonsing_inv_nonsing_inv (h : is_unit A.det) : (A⁻¹)⁻¹ = A :=
calc (A⁻¹)⁻¹ = 1 ⬝ (A⁻¹)⁻¹ : by rw matrix.one_mul
... = A ⬝ A⁻¹ ⬝ (A⁻¹)⁻¹ : by rw A.mul_nonsing_inv h
... = A : by { rw [matrix.mul_assoc,
(A⁻¹).mul_nonsing_inv (A.is_unit_nonsing_inv_det h),
matrix.mul_one], }
lemma is_unit_nonsing_inv_det_iff {A : matrix n n α} :
is_unit A⁻¹.det ↔ is_unit A.det :=
by rw [matrix.det_nonsing_inv, is_unit_ring_inverse]
/- `is_unit.invertible` lifts the proposition `is_unit A` to a constructive inverse of `A`. -/
/-- A version of `matrix.invertible_of_det_invertible` with the inverse defeq to `A⁻¹` that is
therefore noncomputable. -/
noncomputable def invertible_of_is_unit_det (h : is_unit A.det) : invertible A :=
⟨A⁻¹, nonsing_inv_mul A h, mul_nonsing_inv A h⟩
/-- A version of `matrix.units_of_det_invertible` with the inverse defeq to `A⁻¹` that is therefore
noncomputable. -/
noncomputable def nonsing_inv_unit (h : is_unit A.det) : units (matrix n n α) :=
@unit_of_invertible _ _ _ (invertible_of_is_unit_det A h)
lemma unit_of_det_invertible_eq_nonsing_inv_unit [invertible A.det] :
unit_of_det_invertible A = nonsing_inv_unit A (is_unit_of_invertible _) :=
by { ext, refl }
variables {A} {B}
/-- If matrix A is left invertible, then its inverse equals its left inverse. -/
lemma inv_eq_left_inv (h : B ⬝ A = 1) : A⁻¹ = B :=
begin
letI := invertible_of_left_inverse _ _ h,
exact inv_of_eq_nonsing_inv A ▸ inv_of_eq_left_inv h,
end
/-- If matrix A is right invertible, then its inverse equals its right inverse. -/
lemma inv_eq_right_inv (h : A ⬝ B = 1) : A⁻¹ = B :=
inv_eq_left_inv (mul_eq_one_comm.2 h)
section inv_eq_inv
variables {C : matrix n n α}
/-- The left inverse of matrix A is unique when existing. -/
lemma left_inv_eq_left_inv (h : B ⬝ A = 1) (g : C ⬝ A = 1) : B = C :=
by rw [←inv_eq_left_inv h, ←inv_eq_left_inv g]
/-- The right inverse of matrix A is unique when existing. -/
lemma right_inv_eq_right_inv (h : A ⬝ B = 1) (g : A ⬝ C = 1) : B = C :=
by rw [←inv_eq_right_inv h, ←inv_eq_right_inv g]
/-- The right inverse of matrix A equals the left inverse of A when they exist. -/
lemma right_inv_eq_left_inv (h : A ⬝ B = 1) (g : C ⬝ A = 1) : B = C :=
by rw [←inv_eq_right_inv h, ←inv_eq_left_inv g]
lemma inv_inj (h : A⁻¹ = B⁻¹) (h' : is_unit A.det) : A = B :=
begin
refine left_inv_eq_left_inv (mul_nonsing_inv _ h') _,
rw h,
refine mul_nonsing_inv _ _,
rwa [←is_unit_nonsing_inv_det_iff, ←h, is_unit_nonsing_inv_det_iff]
end
end inv_eq_inv
variable (A)
@[simp] lemma inv_zero : (0 : matrix n n α)⁻¹ = 0 :=
begin
casesI (subsingleton_or_nontrivial α) with ht ht,
{ simp },
cases (fintype.card n).zero_le.eq_or_lt with hc hc,
{ rw [eq_comm, fintype.card_eq_zero_iff] at hc,
haveI := hc,
ext i,
exact (is_empty.false i).elim },
{ have hn : nonempty n := fintype.card_pos_iff.mp hc,
refine nonsing_inv_apply_not_is_unit _ _,
simp [hn] },
end
@[simp] lemma inv_one : (1 : matrix n n α)⁻¹ = 1 :=
inv_eq_left_inv (by simp)
lemma inv_smul (k : α) [invertible k] (h : is_unit A.det) : (k • A)⁻¹ = ⅟k • A⁻¹ :=
inv_eq_left_inv (by simp [h, smul_smul])
lemma inv_smul' (k : units α) (h : is_unit A.det) : (k • A)⁻¹ = k⁻¹ • A⁻¹ :=
inv_eq_left_inv (by simp [h, smul_smul])
lemma inv_adjugate (A : matrix n n α) (h : is_unit A.det) :
(adjugate A)⁻¹ = h.unit⁻¹ • A :=
begin
refine inv_eq_left_inv _,
rw [smul_mul, mul_adjugate, units.smul_def, smul_smul, h.coe_inv_mul, one_smul]
end
@[simp] lemma inv_inv_inv (A : matrix n n α) : A⁻¹⁻¹⁻¹ = A⁻¹ :=
begin
by_cases h : is_unit A.det,
{ rw [nonsing_inv_nonsing_inv _ h] },
{ simp [nonsing_inv_apply_not_is_unit _ h] }
end
lemma mul_inv_rev (A B : matrix n n α) : (A ⬝ B)⁻¹ = B⁻¹ ⬝ A⁻¹ :=
begin
simp only [inv_def],
rw [matrix.smul_mul, matrix.mul_smul, smul_smul, det_mul, adjugate_mul_distrib,
ring.mul_inverse_rev],
end
/-- One form of **Cramer's rule**. See `matrix.mul_vec_cramer` for a stronger form. -/
@[simp] lemma det_smul_inv_mul_vec_eq_cramer (A : matrix n n α) (b : n → α) (h : is_unit A.det) :
A.det • A⁻¹.mul_vec b = cramer A b :=
begin
rw [cramer_eq_adjugate_mul_vec, A.nonsing_inv_apply h, ← smul_mul_vec_assoc,
smul_smul, h.mul_coe_inv, one_smul]
end
end matrix
|
1cb17690c54b3b787f3cc9553ebc743a6c2614fb | 302c785c90d40ad3d6be43d33bc6a558354cc2cf | /src/ring_theory/localization.lean | 7c86680940b26b766910c7a2ccd54617c746f33a | [
"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 | 69,494 | 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
-/
import data.equiv.ring
import group_theory.monoid_localization
import ring_theory.ideal.operations
import ring_theory.algebraic
import ring_theory.integral_closure
import ring_theory.non_zero_divisors
/-!
# Localizations of commutative rings
We characterize the localization of a commutative ring `R` at a submonoid `M` up to
isomorphism; that is, a commutative ring `S` is the localization of `R` at `M` iff we can find a
ring homomorphism `f : R →+* S` satisfying 3 properties:
1. For all `y ∈ M`, `f y` is a unit;
2. For all `z : S`, there exists `(x, y) : R × M` such that `z * f y = f x`;
3. For all `x, y : R`, `f x = f y` iff there exists `c ∈ M` such that `x * c = y * c`.
Given such a localization map `f : R →+* S`, we can define the surjection
`localization_map.mk'` sending `(x, y) : R × M` to `f x * (f y)⁻¹`, and
`localization_map.lift`, the homomorphism from `S` induced by a homomorphism from `R` which maps
elements of `M` to invertible elements of the codomain. Similarly, given commutative rings
`P, Q`, a submonoid `T` of `P` and a localization map for `T` from `P` to `Q`, then a homomorphism
`g : R →+* P` such that `g(M) ⊆ T` induces a homomorphism of localizations,
`localization_map.map`, from `S` to `Q`.
We treat the special case of localizing away from an element in the sections `away_map` and `away`.
We show the localization as a quotient type, defined in `group_theory.monoid_localization` as
`submonoid.localization`, is a `comm_ring` and that the natural ring hom
`of : R →+* localization M` is a localization map.
We show that a localization at the complement of a prime ideal is a local ring.
We prove some lemmas about the `R`-algebra structure of `S`.
When `R` is an integral domain, we define `fraction_map R K` as an abbreviation for
`localization (non_zero_divisors R) K`, the natural map to `R`'s field of fractions.
We show that a `comm_ring` `K` which is the localization of an integral domain `R` at `R \ {0}`
is a field. We use this to show the field of fractions as a quotient type, `fraction_ring`, is
a field.
## Implementation notes
In maths it is natural to reason up to isomorphism, but in Lean we cannot naturally `rewrite` one
structure with an isomorphic one; one way around this is to isolate a predicate characterizing
a structure up to isomorphism, and reason about things that satisfy the predicate.
A ring localization map is defined to be a localization map of the underlying `comm_monoid` (a
`submonoid.localization_map`) which is also a ring hom. To prove most lemmas about a
`localization_map` `f` in this file we invoke the corresponding proof for the underlying
`comm_monoid` localization map `f.to_localization_map`, which can be found in
`group_theory.monoid_localization` and the namespace `submonoid.localization_map`.
To apply a localization map `f` as a function, we use `f.to_map`, as coercions don't work well for
this structure.
To reason about the localization as a quotient type, use `mk_eq_of_mk'` and associated lemmas.
These show the quotient map `mk : R → M → localization M` equals the surjection
`localization_map.mk'` induced by the map `of : localization_map M (localization M)`
(where `of` establishes the localization as a quotient type satisfies the characteristic
predicate). The lemma `mk_eq_of_mk'` hence gives you access to the results in the rest of the file,
which are about the `localization_map.mk'` induced by any localization map.
We define a copy of the localization map `f`'s codomain `S` carrying the data of `f` so that
instances on `S` induced by `f` can 'know' the map needed to induce the instance.
The proof that "a `comm_ring` `K` which is the localization of an integral domain `R` at `R \ {0}`
is a field" is a `def` rather than an `instance`, so if you want to reason about a field of
fractions `K`, assume `[field K]` instead of just `[comm_ring K]`.
## Tags
localization, ring localization, commutative ring localization, characteristic predicate,
commutative ring, field of fractions
-/
variables {R : Type*} [comm_ring R] (M : submonoid R) (S : Type*) [comm_ring S]
{P : Type*} [comm_ring P]
open function
set_option old_structure_cmd true
/-- The type of ring homomorphisms satisfying the characteristic predicate: if `f : R →+* S`
satisfies this predicate, then `S` is isomorphic to the localization of `R` at `M`.
We later define an instance coercing a localization map `f` to its codomain `S` so
that instances on `S` induced by `f` can 'know' the map needed to induce the instance. -/
@[nolint has_inhabited_instance] structure localization_map
extends ring_hom R S, submonoid.localization_map M S
/-- The ring hom underlying a `localization_map`. -/
add_decl_doc localization_map.to_ring_hom
/-- The `comm_monoid` `localization_map` underlying a `comm_ring` `localization_map`.
See `group_theory.monoid_localization` for its definition. -/
add_decl_doc localization_map.to_localization_map
variables {M S}
namespace ring_hom
/-- Makes a localization map from a `comm_ring` hom satisfying the characteristic predicate. -/
def to_localization_map (f : R →+* S) (H1 : ∀ y : M, is_unit (f y))
(H2 : ∀ z, ∃ x : R × M, z * f x.2 = f x.1) (H3 : ∀ x y, f x = f y ↔ ∃ c : M, x * c = y * c) :
localization_map M S :=
{ map_units' := H1,
surj' := H2,
eq_iff_exists' := H3,
.. f }
end ring_hom
/-- Makes a `comm_ring` localization map from an additive `comm_monoid` localization map of
`comm_ring`s. -/
def submonoid.localization_map.to_ring_localization
(f : submonoid.localization_map M S)
(h : ∀ x y, f.to_map (x + y) = f.to_map x + f.to_map y) :
localization_map M S :=
{ ..ring_hom.mk' f.to_monoid_hom h, ..f }
namespace localization_map
variables (f : localization_map M S)
/-- We define a copy of the localization map `f`'s codomain `S` carrying the data of `f` so that
instances on `S` induced by `f` can 'know` the map needed to induce the instance. -/
@[nolint unused_arguments has_inhabited_instance]
def codomain (f : localization_map M S) := S
instance : comm_ring f.codomain := by assumption
instance {K : Type*} [field K] (f : localization_map M K) : field f.codomain := by assumption
/-- Short for `to_ring_hom`; used for applying a localization map as a function. -/
abbreviation to_map := f.to_ring_hom
lemma map_units (y : M) : is_unit (f.to_map y) := f.6 y
lemma surj (z) : ∃ x : R × M, z * f.to_map x.2 = f.to_map x.1 := f.7 z
lemma eq_iff_exists {x y} : f.to_map x = f.to_map y ↔ ∃ c : M, x * c = y * c := f.8 x y
@[ext] lemma ext {f g : localization_map M S}
(h : ∀ x, f.to_map x = g.to_map x) : f = g :=
begin
cases f, cases g,
simp only at *,
exact funext h
end
lemma ext_iff {f g : localization_map M S} : f = g ↔ ∀ x, f.to_map x = g.to_map x :=
⟨λ h x, h ▸ rfl, ext⟩
lemma to_map_injective : injective (@localization_map.to_map _ _ M S _) :=
λ _ _ h, ext $ ring_hom.ext_iff.1 h
/-- Given `a : S`, `S` a localization of `R`, `is_integer a` iff `a` is in the image of
the localization map from `R` to `S`. -/
def is_integer (a : S) : Prop := a ∈ set.range f.to_map
-- TODO: define a subalgebra of `is_integer`s
lemma is_integer_zero : f.is_integer 0 := ⟨0, f.to_map.map_zero⟩
lemma is_integer_one : f.is_integer 1 := ⟨1, f.to_map.map_one⟩
variables {f}
lemma is_integer_add {a b} (ha : f.is_integer a) (hb : f.is_integer b) :
f.is_integer (a + b) :=
begin
rcases ha with ⟨a', ha⟩,
rcases hb with ⟨b', hb⟩,
use a' + b',
rw [f.to_map.map_add, ha, hb]
end
lemma is_integer_mul {a b} (ha : f.is_integer a) (hb : f.is_integer b) :
f.is_integer (a * b) :=
begin
rcases ha with ⟨a', ha⟩,
rcases hb with ⟨b', hb⟩,
use a' * b',
rw [f.to_map.map_mul, ha, hb]
end
lemma is_integer_smul {a : R} {b} (hb : f.is_integer b) :
f.is_integer (f.to_map a * b) :=
begin
rcases hb with ⟨b', hb⟩,
use a * b',
rw [←hb, f.to_map.map_mul]
end
variables (f)
/-- Each element `a : S` has an `M`-multiple which is an integer.
This version multiplies `a` on the right, matching the argument order in `localization_map.surj`.
-/
lemma exists_integer_multiple' (a : S) :
∃ (b : M), is_integer f (a * f.to_map b) :=
let ⟨⟨num, denom⟩, h⟩ := f.surj a in ⟨denom, set.mem_range.mpr ⟨num, h.symm⟩⟩
/-- Each element `a : S` has an `M`-multiple which is an integer.
This version multiplies `a` on the left, matching the argument order in the `has_scalar` instance.
-/
lemma exists_integer_multiple (a : S) :
∃ (b : M), is_integer f (f.to_map b * a) :=
by { simp_rw mul_comm _ a, apply exists_integer_multiple' }
/-- Given `z : S`, `f.to_localization_map.sec z` is defined to be a pair `(x, y) : R × M` such
that `z * f y = f x` (so this lemma is true by definition). -/
lemma sec_spec {f : localization_map M S} (z : S) :
z * f.to_map (f.to_localization_map.sec z).2 = f.to_map (f.to_localization_map.sec z).1 :=
classical.some_spec $ f.surj z
/-- Given `z : S`, `f.to_localization_map.sec z` is defined to be a pair `(x, y) : R × M` such
that `z * f y = f x`, so this lemma is just an application of `S`'s commutativity. -/
lemma sec_spec' {f : localization_map M S} (z : S) :
f.to_map (f.to_localization_map.sec z).1 = f.to_map (f.to_localization_map.sec z).2 * z :=
by rw [mul_comm, sec_spec]
open_locale big_operators
/-- We can clear the denominators of a finite set of fractions. -/
lemma exist_integer_multiples_of_finset (s : finset S) :
∃ (b : M), ∀ a ∈ s, is_integer f (f.to_map b * a) :=
begin
haveI := classical.prop_decidable,
use ∏ a in s, (f.to_localization_map.sec a).2,
intros a ha,
use (∏ x in s.erase a, (f.to_localization_map.sec x).2) * (f.to_localization_map.sec a).1,
rw [ring_hom.map_mul, sec_spec', ←mul_assoc, ←f.to_map.map_mul],
congr' 2,
refine trans _ ((submonoid.subtype M).map_prod _ _).symm,
rw [mul_comm, ←finset.prod_insert (s.not_mem_erase a), finset.insert_erase ha],
refl,
end
lemma map_right_cancel {x y} {c : M} (h : f.to_map (c * x) = f.to_map (c * y)) :
f.to_map x = f.to_map y :=
f.to_localization_map.map_right_cancel h
lemma map_left_cancel {x y} {c : M} (h : f.to_map (x * c) = f.to_map (y * c)) :
f.to_map x = f.to_map y :=
f.to_localization_map.map_left_cancel h
lemma eq_zero_of_fst_eq_zero {z x} {y : M}
(h : z * f.to_map y = f.to_map x) (hx : x = 0) : z = 0 :=
by rw [hx, f.to_map.map_zero] at h; exact (f.map_units y).mul_left_eq_zero.1 h
/-- Given a localization map `f : R →+* S`, the surjection sending `(x, y) : R × M` to
`f x * (f y)⁻¹`. -/
noncomputable def mk' (f : localization_map M S) (x : R) (y : M) : S :=
f.to_localization_map.mk' x y
@[simp] lemma mk'_sec (z : S) :
f.mk' (f.to_localization_map.sec z).1 (f.to_localization_map.sec z).2 = z :=
f.to_localization_map.mk'_sec _
lemma mk'_mul (x₁ x₂ : R) (y₁ y₂ : M) :
f.mk' (x₁ * x₂) (y₁ * y₂) = f.mk' x₁ y₁ * f.mk' x₂ y₂ :=
f.to_localization_map.mk'_mul _ _ _ _
lemma mk'_one (x) : f.mk' x (1 : M) = f.to_map x :=
f.to_localization_map.mk'_one _
@[simp]
lemma mk'_spec (x) (y : M) :
f.mk' x y * f.to_map y = f.to_map x :=
f.to_localization_map.mk'_spec _ _
@[simp]
lemma mk'_spec' (x) (y : M) :
f.to_map y * f.mk' x y = f.to_map x :=
f.to_localization_map.mk'_spec' _ _
theorem eq_mk'_iff_mul_eq {x} {y : M} {z} :
z = f.mk' x y ↔ z * f.to_map y = f.to_map x :=
f.to_localization_map.eq_mk'_iff_mul_eq
theorem mk'_eq_iff_eq_mul {x} {y : M} {z} :
f.mk' x y = z ↔ f.to_map x = z * f.to_map y :=
f.to_localization_map.mk'_eq_iff_eq_mul
lemma mk'_surjective (z : S) : ∃ x (y : M), f.mk' x y = z :=
let ⟨r, hr⟩ := f.surj z in ⟨r.1, r.2, (f.eq_mk'_iff_mul_eq.2 hr).symm⟩
lemma mk'_eq_iff_eq {x₁ x₂} {y₁ y₂ : M} :
f.mk' x₁ y₁ = f.mk' x₂ y₂ ↔ f.to_map (x₁ * y₂) = f.to_map (x₂ * y₁) :=
f.to_localization_map.mk'_eq_iff_eq
lemma mk'_mem_iff {x} {y : M} {I : ideal S} : f.mk' x y ∈ I ↔ f.to_map x ∈ I :=
begin
split;
intro h,
{ rw [← mk'_spec f x y, mul_comm],
exact I.mul_mem_left (f.to_map y) h },
{ rw ← mk'_spec f x y at h,
obtain ⟨b, hb⟩ := is_unit_iff_exists_inv.1 (map_units f y),
have := I.mul_mem_left b h,
rwa [mul_comm, mul_assoc, hb, mul_one] at this }
end
protected lemma eq {a₁ b₁} {a₂ b₂ : M} :
f.mk' a₁ a₂ = f.mk' b₁ b₂ ↔ ∃ c : M, a₁ * b₂ * c = b₁ * a₂ * c :=
f.to_localization_map.eq
lemma eq_iff_eq (g : localization_map M P) {x y} :
f.to_map x = f.to_map y ↔ g.to_map x = g.to_map y :=
f.to_localization_map.eq_iff_eq g.to_localization_map
lemma mk'_eq_iff_mk'_eq (g : localization_map M P) {x₁ x₂}
{y₁ y₂ : M} : f.mk' x₁ y₁ = f.mk' x₂ y₂ ↔ g.mk' x₁ y₁ = g.mk' x₂ y₂ :=
f.to_localization_map.mk'_eq_iff_mk'_eq g.to_localization_map
lemma mk'_eq_of_eq {a₁ b₁ : R} {a₂ b₂ : M} (H : b₁ * a₂ = a₁ * b₂) :
f.mk' a₁ a₂ = f.mk' b₁ b₂ :=
f.to_localization_map.mk'_eq_of_eq H
@[simp] lemma mk'_self {x : R} (hx : x ∈ M) : f.mk' x ⟨x, hx⟩ = 1 :=
f.to_localization_map.mk'_self _ hx
@[simp] lemma mk'_self' {x : M} : f.mk' x x = 1 :=
f.to_localization_map.mk'_self' _
lemma mk'_self'' {x : M} : f.mk' x.1 x = 1 :=
f.mk'_self'
lemma mul_mk'_eq_mk'_of_mul (x y : R) (z : M) :
f.to_map x * f.mk' y z = f.mk' (x * y) z :=
f.to_localization_map.mul_mk'_eq_mk'_of_mul _ _ _
lemma mk'_eq_mul_mk'_one (x : R) (y : M) :
f.mk' x y = f.to_map x * f.mk' 1 y :=
(f.to_localization_map.mul_mk'_one_eq_mk' _ _).symm
@[simp] lemma mk'_mul_cancel_left (x : R) (y : M) :
f.mk' (y * x) y = f.to_map x :=
f.to_localization_map.mk'_mul_cancel_left _ _
lemma mk'_mul_cancel_right (x : R) (y : M) :
f.mk' (x * y) y = f.to_map x :=
f.to_localization_map.mk'_mul_cancel_right _ _
@[simp] lemma mk'_mul_mk'_eq_one (x y : M) :
f.mk' x y * f.mk' y x = 1 :=
by rw [←f.mk'_mul, mul_comm]; exact f.mk'_self _
lemma mk'_mul_mk'_eq_one' (x : R) (y : M) (h : x ∈ M) :
f.mk' x y * f.mk' y ⟨x, h⟩ = 1 :=
f.mk'_mul_mk'_eq_one ⟨x, h⟩ _
lemma is_unit_comp (j : S →+* P) (y : M) :
is_unit (j.comp f.to_map y) :=
f.to_localization_map.is_unit_comp j.to_monoid_hom _
/-- Given a localization map `f : R →+* S` for a submonoid `M ⊆ R` and a map of `comm_ring`s
`g : R →+* P` such that `g(M) ⊆ units P`, `f x = f y → g x = g y` for all `x y : R`. -/
lemma eq_of_eq {g : R →+* P} (hg : ∀ y : M, is_unit (g y)) {x y} (h : f.to_map x = f.to_map y) :
g x = g y :=
@submonoid.localization_map.eq_of_eq _ _ _ _ _ _ _
f.to_localization_map g.to_monoid_hom hg _ _ h
lemma mk'_add (x₁ x₂ : R) (y₁ y₂ : M) :
f.mk' (x₁ * y₂ + x₂ * y₁) (y₁ * y₂) = f.mk' x₁ y₁ + f.mk' x₂ y₂ :=
f.mk'_eq_iff_eq_mul.2 $ eq.symm
begin
rw [mul_comm (_ + _), mul_add, mul_mk'_eq_mk'_of_mul, ←eq_sub_iff_add_eq, mk'_eq_iff_eq_mul,
mul_comm _ (f.to_map _), mul_sub, eq_sub_iff_add_eq, ←eq_sub_iff_add_eq', ←mul_assoc,
←f.to_map.map_mul, mul_mk'_eq_mk'_of_mul, mk'_eq_iff_eq_mul],
simp only [f.to_map.map_add, submonoid.coe_mul, f.to_map.map_mul],
ring_exp,
end
/-- Given a localization map `f : R →+* S` for a submonoid `M ⊆ R` and a map of `comm_ring`s
`g : R →+* P` such that `g y` is invertible for all `y : M`, the homomorphism induced from
`S` to `P` sending `z : S` to `g x * (g y)⁻¹`, where `(x, y) : R × M` are such that
`z = f x * (f y)⁻¹`. -/
noncomputable def lift {g : R →+* P} (hg : ∀ y : M, is_unit (g y)) : S →+* P :=
ring_hom.mk' (@submonoid.localization_map.lift _ _ _ _ _ _ _
f.to_localization_map g.to_monoid_hom hg) $
begin
intros x y,
rw [f.to_localization_map.lift_spec, mul_comm, add_mul, ←sub_eq_iff_eq_add, eq_comm,
f.to_localization_map.lift_spec_mul, mul_comm _ (_ - _), sub_mul, eq_sub_iff_add_eq',
←eq_sub_iff_add_eq, mul_assoc, f.to_localization_map.lift_spec_mul],
show g _ * (g _ * g _) = g _ * (g _ * g _ - g _ * g _),
repeat {rw ←g.map_mul},
rw [←g.map_sub, ←g.map_mul],
apply f.eq_of_eq hg,
erw [f.to_map.map_mul, sec_spec', mul_sub, f.to_map.map_sub],
simp only [f.to_map.map_mul, sec_spec'],
ring_exp,
end
variables {g : R →+* P} (hg : ∀ y : M, is_unit (g y))
/-- Given a localization map `f : R →+* S` for a submonoid `M ⊆ R` and a map of `comm_ring`s
`g : R →* P` such that `g y` is invertible for all `y : M`, the homomorphism induced from
`S` to `P` maps `f x * (f y)⁻¹` to `g x * (g y)⁻¹` for all `x : R, y ∈ M`. -/
lemma lift_mk' (x y) :
f.lift hg (f.mk' x y) = g x * ↑(is_unit.lift_right (g.to_monoid_hom.mrestrict M) hg y)⁻¹ :=
f.to_localization_map.lift_mk' _ _ _
lemma lift_mk'_spec (x v) (y : M) :
f.lift hg (f.mk' x y) = v ↔ g x = g y * v :=
f.to_localization_map.lift_mk'_spec _ _ _ _
@[simp] lemma lift_eq (x : R) :
f.lift hg (f.to_map x) = g x :=
f.to_localization_map.lift_eq _ _
lemma lift_eq_iff {x y : R × M} :
f.lift hg (f.mk' x.1 x.2) = f.lift hg (f.mk' y.1 y.2) ↔ g (x.1 * y.2) = g (y.1 * x.2) :=
f.to_localization_map.lift_eq_iff _
@[simp] lemma lift_comp : (f.lift hg).comp f.to_map = g :=
ring_hom.ext $ monoid_hom.ext_iff.1 $ f.to_localization_map.lift_comp _
@[simp] lemma lift_of_comp (j : S →+* P) :
f.lift (f.is_unit_comp j) = j :=
ring_hom.ext $ monoid_hom.ext_iff.1 $ f.to_localization_map.lift_of_comp j.to_monoid_hom
lemma epic_of_localization_map {j k : S →+* P}
(h : ∀ a, j.comp f.to_map a = k.comp f.to_map a) : j = k :=
ring_hom.ext $ monoid_hom.ext_iff.1 $ @submonoid.localization_map.epic_of_localization_map
_ _ _ _ _ _ _ f.to_localization_map j.to_monoid_hom k.to_monoid_hom h
lemma lift_unique {j : S →+* P}
(hj : ∀ x, j (f.to_map x) = g x) : f.lift hg = j :=
ring_hom.ext $ monoid_hom.ext_iff.1 $ @submonoid.localization_map.lift_unique
_ _ _ _ _ _ _ f.to_localization_map g.to_monoid_hom hg j.to_monoid_hom hj
@[simp] lemma lift_id (x) : f.lift f.map_units x = x :=
f.to_localization_map.lift_id _
/-- Given two localization maps `f : R →+* S, k : R →+* P` for a submonoid `M ⊆ R`,
the hom from `P` to `S` induced by `f` is left inverse to the hom from `S` to `P`
induced by `k`. -/
@[simp] lemma lift_left_inverse {k : localization_map M S} (z : S) :
k.lift f.map_units (f.lift k.map_units z) = z :=
f.to_localization_map.lift_left_inverse _
lemma lift_surjective_iff :
surjective (f.lift hg) ↔ ∀ v : P, ∃ x : R × M, v * g x.2 = g x.1 :=
f.to_localization_map.lift_surjective_iff hg
lemma lift_injective_iff :
injective (f.lift hg) ↔ ∀ x y, f.to_map x = f.to_map y ↔ g x = g y :=
f.to_localization_map.lift_injective_iff hg
variables {T : submonoid P} (hy : ∀ y : M, g y ∈ T) {Q : Type*} [comm_ring Q]
(k : localization_map T Q)
/-- Given a `comm_ring` homomorphism `g : R →+* P` where for submonoids `M ⊆ R, T ⊆ P` we have
`g(M) ⊆ T`, the induced ring homomorphism from the localization of `R` at `M` to the
localization of `P` at `T`: if `f : R →+* S` and `k : P →+* Q` are localization maps for `M`
and `T` respectively, we send `z : S` to `k (g x) * (k (g y))⁻¹`, where `(x, y) : R × M` are
such that `z = f x * (f y)⁻¹`. -/
noncomputable def map : S →+* Q :=
@lift _ _ _ _ _ _ _ f (k.to_map.comp g) $ λ y, k.map_units ⟨g y, hy y⟩
variables {k}
lemma map_eq (x) :
f.map hy k (f.to_map x) = k.to_map (g x) :=
f.lift_eq (λ y, k.map_units ⟨g y, hy y⟩) x
@[simp] lemma map_comp :
(f.map hy k).comp f.to_map = k.to_map.comp g :=
f.lift_comp $ λ y, k.map_units ⟨g y, hy y⟩
lemma map_mk' (x) (y : M) :
f.map hy k (f.mk' x y) = k.mk' (g x) ⟨g y, hy y⟩ :=
@submonoid.localization_map.map_mk' _ _ _ _ _ _ _ f.to_localization_map
g.to_monoid_hom _ hy _ _ k.to_localization_map _ _
@[simp] lemma map_id (z : S) :
f.map (λ y, show ring_hom.id R y ∈ M, from y.2) f z = z :=
f.lift_id _
/-- If `comm_ring` homs `g : R →+* P, l : P →+* A` induce maps of localizations, the composition
of the induced maps equals the map of localizations induced by `l ∘ g`. -/
lemma map_comp_map {A : Type*} [comm_ring A] {U : submonoid A} {W} [comm_ring W]
(j : localization_map U W) {l : P →+* A} (hl : ∀ w : T, l w ∈ U) :
(k.map hl j).comp (f.map hy k) = f.map (λ x, show l.comp g x ∈ U, from hl ⟨g x, hy x⟩) j :=
ring_hom.ext $ monoid_hom.ext_iff.1 $ @submonoid.localization_map.map_comp_map _ _ _ _ _ _ _
f.to_localization_map g.to_monoid_hom _ hy _ _ k.to_localization_map
_ _ _ _ _ j.to_localization_map l.to_monoid_hom hl
/-- If `comm_ring` homs `g : R →+* P, l : P →+* A` induce maps of localizations, the composition
of the induced maps equals the map of localizations induced by `l ∘ g`. -/
lemma map_map {A : Type*} [comm_ring A] {U : submonoid A} {W} [comm_ring W]
(j : localization_map U W) {l : P →+* A} (hl : ∀ w : T, l w ∈ U) (x) :
k.map hl j (f.map hy k x) = f.map (λ x, show l.comp g x ∈ U, from hl ⟨g x, hy x⟩) j x :=
by rw ←f.map_comp_map hy j hl; refl
/-- Given localization maps `f : R →+* S, k : P →+* Q` for submonoids `M, T` respectively, an
isomorphism `j : R ≃+* P` such that `j(M) = T` induces an isomorphism of localizations
`S ≃+* Q`. -/
noncomputable def ring_equiv_of_ring_equiv (k : localization_map T Q) (h : R ≃+* P)
(H : M.map h.to_monoid_hom = T) :
S ≃+* Q :=
(f.to_localization_map.mul_equiv_of_mul_equiv k.to_localization_map H).to_ring_equiv $
(@lift _ _ _ _ _ _ _ f (k.to_map.comp h.to_ring_hom)
(λ y, k.map_units ⟨(h y), H ▸ set.mem_image_of_mem h y.2⟩)).map_add
@[simp] lemma ring_equiv_of_ring_equiv_eq_map_apply {j : R ≃+* P}
(H : M.map j.to_monoid_hom = T) (x) :
f.ring_equiv_of_ring_equiv k j H x =
f.map (λ y : M, show j.to_monoid_hom y ∈ T, from H ▸ set.mem_image_of_mem j y.2) k x := rfl
lemma ring_equiv_of_ring_equiv_eq_map {j : R ≃+* P} (H : M.map j.to_monoid_hom = T) :
(f.ring_equiv_of_ring_equiv k j H).to_monoid_hom =
f.map (λ y : M, show j.to_monoid_hom y ∈ T, from H ▸ set.mem_image_of_mem j y.2) k := rfl
@[simp] lemma ring_equiv_of_ring_equiv_eq {j : R ≃+* P} (H : M.map j.to_monoid_hom = T) (x) :
f.ring_equiv_of_ring_equiv k j H (f.to_map x) = k.to_map (j x) :=
f.to_localization_map.mul_equiv_of_mul_equiv_eq H _
lemma ring_equiv_of_ring_equiv_mk' {j : R ≃+* P} (H : M.map j.to_monoid_hom = T) (x y) :
f.ring_equiv_of_ring_equiv k j H (f.mk' x y) =
k.mk' (j x) ⟨j y, H ▸ set.mem_image_of_mem j y.2⟩ :=
f.to_localization_map.mul_equiv_of_mul_equiv_mk' H _ _
section away_map
variables (x : R)
/-- Given `x : R`, the type of homomorphisms `f : R →* S` such that `S`
is isomorphic to the localization of `R` at the submonoid generated by `x`. -/
@[reducible]
def away_map (S' : Type*) [comm_ring S'] :=
localization_map (submonoid.powers x) S'
variables (F : away_map x S)
/-- Given `x : R` and a localization map `F : R →+* S` away from `x`, `inv_self` is `(F x)⁻¹`. -/
noncomputable def away_map.inv_self : S :=
F.mk' 1 ⟨x, submonoid.mem_powers _⟩
/-- Given `x : R`, a localization map `F : R →+* S` away from `x`, and a map of `comm_ring`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 away_map.lift (hg : is_unit (g x)) : S →+* P :=
localization_map.lift F $ λ y, show is_unit (g y.1),
begin
obtain ⟨n, hn⟩ := y.2,
rw [←hn, g.map_pow],
exact is_unit.map (monoid_hom.of $ ((^ n) : P → P)) hg,
end
@[simp] lemma away_map.lift_eq (hg : is_unit (g x)) (a : R) :
F.lift x hg (F.to_map a) = g a := lift_eq _ _ _
@[simp] lemma away_map.lift_comp (hg : is_unit (g x)) :
(F.lift x hg).comp F.to_map = g := lift_comp _ _
/-- Given `x y : R` and localization maps `F : R →+* S, G : R →+* P` away from `x` and `x * y`
respectively, the homomorphism induced from `S` to `P`. -/
noncomputable def away_to_away_right (y : R) (G : away_map (x * y) P) : S →* P :=
F.lift x $ show is_unit (G.to_map x), from
is_unit_of_mul_eq_one (G.to_map x) (G.mk' y ⟨x * y, submonoid.mem_powers _⟩) $
by rw [mul_mk'_eq_mk'_of_mul, mk'_self]
end away_map
end localization_map
namespace localization
variables {M}
instance : has_add (localization M) :=
⟨λ z w, con.lift_on₂ z w
(λ x y : R × M, mk ((x.2 : R) * y.1 + y.2 * x.1) (x.2 * y.2)) $
λ r1 r2 r3 r4 h1 h2, (con.eq _).2
begin
rw r_eq_r' at h1 h2 ⊢,
cases h1 with t₅ ht₅,
cases h2 with t₆ ht₆,
use t₆ * t₅,
calc ((r1.2 : R) * r2.1 + r2.2 * r1.1) * (r3.2 * r4.2) * (t₆ * t₅) =
(r2.1 * r4.2 * t₆) * (r1.2 * r3.2 * t₅) + (r1.1 * r3.2 * t₅) * (r2.2 * r4.2 * t₆) : by ring
... = (r3.2 * r4.1 + r4.2 * r3.1) * (r1.2 * r2.2) * (t₆ * t₅) : by rw [ht₆, ht₅]; ring
end⟩
instance : has_neg (localization M) :=
⟨λ z, con.lift_on z (λ x : R × M, mk (-x.1) x.2) $
λ r1 r2 h, (con.eq _).2
begin
rw r_eq_r' at h ⊢,
cases h with t ht,
use t,
rw [neg_mul_eq_neg_mul_symm, neg_mul_eq_neg_mul_symm, ht],
ring_nf,
end⟩
instance : has_zero (localization M) :=
⟨mk 0 1⟩
private meta def tac := `[{
intros,
refine quotient.sound' (r_of_eq _),
simp only [prod.snd_mul, prod.fst_mul, submonoid.coe_mul],
ring }]
instance : comm_ring (localization M) :=
{ zero := 0,
one := 1,
add := (+),
mul := (*),
add_assoc := λ m n k, quotient.induction_on₃' m n k (by tac),
zero_add := λ y, quotient.induction_on' y (by tac),
add_zero := λ y, quotient.induction_on' y (by tac),
neg := has_neg.neg,
sub := λ x y, x + -y,
sub_eq_add_neg := λ x y, rfl,
add_left_neg := λ y, quotient.induction_on' y (by tac),
add_comm := λ y z, quotient.induction_on₂' z y (by tac),
left_distrib := λ m n k, quotient.induction_on₃' m n k (by tac),
right_distrib := λ m n k, quotient.induction_on₃' m n k (by tac),
..localization.comm_monoid M }
variables (M)
/-- Natural hom sending `x : R`, `R` a `comm_ring`, to the equivalence class of
`(x, 1)` in the localization of `R` at a submonoid. -/
def of : localization_map M (localization M) :=
(localization.monoid_of M).to_ring_localization $
λ x y, (con.eq _).2 $ r_of_eq $ by simp [add_comm]
variables {M}
lemma monoid_of_eq_of (x) : (monoid_of M).to_map x = (of M).to_map x := rfl
lemma mk_one_eq_of (x) : mk x 1 = (of M).to_map x := rfl
lemma mk_eq_mk'_apply (x y) : mk x y = (of M).mk' x y :=
mk_eq_monoid_of_mk'_apply _ _
@[simp] lemma mk_eq_mk' : mk = (of M).mk' :=
mk_eq_monoid_of_mk'
variables (f : localization_map M S)
/-- Given a localization map `f : R →+* S` for a submonoid `M`, we get an isomorphism
between the localization of `R` at `M` as a quotient type and `S`. -/
noncomputable def ring_equiv_of_quotient :
localization M ≃+* S :=
(mul_equiv_of_quotient f.to_localization_map).to_ring_equiv $
((of M).lift f.map_units).map_add
variables {f}
@[simp] lemma ring_equiv_of_quotient_apply (x) :
ring_equiv_of_quotient f x = (of M).lift f.map_units x := rfl
@[simp] lemma ring_equiv_of_quotient_mk' (x y) :
ring_equiv_of_quotient f ((of M).mk' x y) = f.mk' x y :=
mul_equiv_of_quotient_mk' _ _
lemma ring_equiv_of_quotient_mk (x y) :
ring_equiv_of_quotient f (mk x y) = f.mk' x y :=
mul_equiv_of_quotient_mk _ _
@[simp] lemma ring_equiv_of_quotient_of (x) :
ring_equiv_of_quotient f ((of M).to_map x) = f.to_map x :=
mul_equiv_of_quotient_monoid_of _
@[simp] lemma ring_equiv_of_quotient_symm_mk' (x y) :
(ring_equiv_of_quotient f).symm (f.mk' x y) = (of M).mk' x y :=
mul_equiv_of_quotient_symm_mk' _ _
lemma ring_equiv_of_quotient_symm_mk (x y) :
(ring_equiv_of_quotient f).symm (f.mk' x y) = mk x y :=
mul_equiv_of_quotient_symm_mk _ _
@[simp] lemma ring_equiv_of_quotient_symm_of (x) :
(ring_equiv_of_quotient f).symm (f.to_map x) = (of M).to_map x :=
mul_equiv_of_quotient_symm_monoid_of _
section away
variables (x : R)
/-- Given `x : R`, the natural hom sending `y : R`, `R` a `comm_ring`, to the equivalence class
of `(y, 1)` in the localization of `R` at the submonoid generated by `x`. -/
@[reducible] def away.of : localization_map.away_map x (away x) := of (submonoid.powers x)
@[simp] lemma away.mk_eq_mk' : mk = (away.of x).mk' :=
mk_eq_mk'
/-- Given `x : R` and a localization map `f : R →+* S` away from `x`, we get an isomorphism between
the localization of `R` at the submonoid generated by `x` as a quotient type and `S`. -/
noncomputable def away.ring_equiv_of_quotient (f : localization_map.away_map x S) :
away x ≃+* S :=
ring_equiv_of_quotient f
end away
end localization
variables {M}
section at_prime
variables (I : ideal R) [hp : I.is_prime]
include hp
namespace ideal
/-- The complement of a prime ideal `I ⊆ R` is a submonoid of `R`. -/
def prime_compl :
submonoid R :=
{ carrier := (Iᶜ : set R),
one_mem' := by convert I.ne_top_iff_one.1 hp.1; refl,
mul_mem' := λ x y hnx hny hxy, or.cases_on (hp.mem_or_mem hxy) hnx hny }
end ideal
namespace localization_map
variables (S)
/-- A localization map from `R` to `S` where the submonoid is the complement of a prime
ideal of `R`. -/
@[reducible] def at_prime :=
localization_map I.prime_compl S
end localization_map
namespace localization
/-- The localization of `R` at the complement of a prime ideal, as a quotient type. -/
@[reducible] def at_prime :=
localization I.prime_compl
end localization
namespace localization_map
variables {I}
/-- When `f` is a localization map from `R` at the complement of a prime ideal `I`, we use a
copy of the localization map `f`'s codomain `S` carrying the data of `f` so that the `local_ring`
instance on `S` can 'know' the map needed to induce the instance. -/
instance at_prime.local_ring (f : at_prime S I) : local_ring f.codomain :=
local_of_nonunits_ideal
(λ hze, begin
rw [←f.to_map.map_one, ←f.to_map.map_zero] at hze,
obtain ⟨t, ht⟩ := f.eq_iff_exists.1 hze,
exact ((show (t : R) ∉ I, from t.2) (have htz : (t : R) = 0, by simpa using ht.symm,
htz.symm ▸ I.zero_mem))
end)
(begin
intros x y hx hy hu,
cases is_unit_iff_exists_inv.1 hu with z hxyz,
have : ∀ {r s}, f.mk' r s ∈ nonunits S → r ∈ I, from
λ r s, not_imp_comm.1
(λ nr, is_unit_iff_exists_inv.2 ⟨f.mk' s ⟨r, nr⟩, f.mk'_mul_mk'_eq_one' _ _ nr⟩),
rcases f.mk'_surjective x with ⟨rx, sx, hrx⟩,
rcases f.mk'_surjective y with ⟨ry, sy, hry⟩,
rcases f.mk'_surjective z with ⟨rz, sz, hrz⟩,
rw [←hrx, ←hry, ←hrz, ←f.mk'_add, ←f.mk'_mul,
←f.mk'_self I.prime_compl.one_mem] at hxyz,
rw ←hrx at hx, rw ←hry at hy,
cases f.eq.1 hxyz with t ht,
simp only [mul_one, one_mul, submonoid.coe_mul, subtype.coe_mk] at ht,
rw [←sub_eq_zero, ←sub_mul] at ht,
have hr := (hp.mem_or_mem_of_mul_eq_zero ht).resolve_right t.2,
rw sub_eq_add_neg at hr,
have := I.neg_mem_iff.1 ((ideal.add_mem_iff_right _ _).1 hr),
{ exact not_or (mt hp.mem_or_mem (not_or sx.2 sy.2)) sz.2 (hp.mem_or_mem this)},
{ exact I.mul_mem_right _ (I.add_mem (I.mul_mem_right _ (this hx))
(I.mul_mem_right _ (this hy)))}
end)
end localization_map
namespace localization
/-- The localization of `R` at the complement of a prime ideal is a local ring. -/
instance at_prime.local_ring : local_ring (localization I.prime_compl) :=
localization_map.at_prime.local_ring (of I.prime_compl)
end localization
end at_prime
namespace localization_map
variables (f : localization_map M S)
section ideals
/-- Explicit characterization of the ideal given by `ideal.map f.to_map I`.
In practice, this ideal differs only in that the carrier set is defined explicitly.
This definition is only meant to be used in proving `mem_map_to_map_iff`,
and any proof that needs to refer to the explicit carrier set should use that theorem. -/
private def to_map_ideal (I : ideal R) : ideal S :=
{ carrier := { z : S | ∃ x : I × M, z * (f.to_map x.2) = f.to_map x.1},
zero_mem' := ⟨⟨0, 1⟩, by simp⟩,
add_mem' := begin
rintros a b ⟨a', ha⟩ ⟨b', hb⟩,
use ⟨a'.2 * b'.1 + b'.2 * a'.1, I.add_mem (I.mul_mem_left _ b'.1.2) (I.mul_mem_left _ a'.1.2)⟩,
use a'.2 * b'.2,
simp only [ring_hom.map_add, submodule.coe_mk, submonoid.coe_mul, ring_hom.map_mul],
rw [add_mul, ← mul_assoc a, ha, mul_comm (f.to_map a'.2) (f.to_map b'.2), ← mul_assoc b, hb],
ring
end,
smul_mem' := begin
rintros c x ⟨x', hx⟩,
obtain ⟨c', hc⟩ := localization_map.surj f c,
use ⟨c'.1 * x'.1, I.mul_mem_left c'.1 x'.1.2⟩,
use c'.2 * x'.2,
simp only [←hx, ←hc, smul_eq_mul, submodule.coe_mk, submonoid.coe_mul, ring_hom.map_mul],
ring
end }
theorem mem_map_to_map_iff {I : ideal R} {z} :
z ∈ ideal.map f.to_map I ↔ ∃ x : I × M, z * (f.to_map x.2) = f.to_map x.1 :=
begin
split,
{ show _ → z ∈ to_map_ideal f I,
refine λ h, ideal.mem_Inf.1 h (λ z hz, _),
obtain ⟨y, hy⟩ := hz,
use ⟨⟨⟨y, hy.left⟩, 1⟩, by simp [hy.right]⟩ },
{ rintros ⟨⟨a, s⟩, h⟩,
rw [← ideal.unit_mul_mem_iff_mem _ (map_units f s), mul_comm],
exact h.symm ▸ ideal.mem_map_of_mem a.2 }
end
theorem map_comap (J : ideal S) :
ideal.map f.to_map (ideal.comap f.to_map J) = J :=
le_antisymm (ideal.map_le_iff_le_comap.2 (le_refl _)) $ λ x hJ,
begin
obtain ⟨r, s, hx⟩ := f.mk'_surjective x,
rw ←hx at ⊢ hJ,
exact ideal.mul_mem_right _ _ (ideal.mem_map_of_mem (show f.to_map r ∈ J, from
f.mk'_spec r s ▸ J.mul_mem_right (f.to_map s) hJ)),
end
theorem comap_map_of_is_prime_disjoint (I : ideal R) (hI : I.is_prime)
(hM : disjoint (M : set R) I) : ideal.comap f.to_map (ideal.map f.to_map I) = I :=
begin
refine le_antisymm (λ a ha, _) ideal.le_comap_map,
rw [ideal.mem_comap, mem_map_to_map_iff] at ha,
obtain ⟨⟨b, s⟩, h⟩ := ha,
have : f.to_map (a * ↑s - b) = 0 := by simpa [sub_eq_zero] using h,
rw [← f.to_map.map_zero, eq_iff_exists] at this,
obtain ⟨c, hc⟩ := this,
have : a * s ∈ I,
{ rw zero_mul at hc,
let this : (a * ↑s - ↑b) * ↑c ∈ I := hc.symm ▸ I.zero_mem,
cases hI.mem_or_mem this with h1 h2,
{ simpa using I.add_mem h1 b.2 },
{ exfalso,
refine hM ⟨c.2, h2⟩ } },
cases hI.mem_or_mem this with h1 h2,
{ exact h1 },
{ exfalso,
refine hM ⟨s.2, h2⟩ }
end
/-- If `S` is the localization of `R` at a submonoid, the ordering of ideals of `S` is
embedded in the ordering of ideals of `R`. -/
def order_embedding : ideal S ↪o ideal R :=
{ to_fun := λ J, ideal.comap f.to_map J,
inj' := function.left_inverse.injective f.map_comap,
map_rel_iff' := λ J₁ J₂, ⟨λ hJ, f.map_comap J₁ ▸ f.map_comap J₂ ▸ ideal.map_mono hJ,
ideal.comap_mono⟩ }
/-- If `R` is a ring, then prime ideals in the localization at `M`
correspond to prime ideals in the original ring `R` that are disjoint from `M`.
This lemma gives the particular case for an ideal and its comap,
see `le_rel_iso_of_prime` for the more general relation isomorphism -/
lemma is_prime_iff_is_prime_disjoint (J : ideal S) :
J.is_prime ↔ (ideal.comap f.to_map J).is_prime ∧ disjoint (M : set R) ↑(ideal.comap f.to_map J) :=
begin
split,
{ refine λ h, ⟨⟨_, _⟩, λ m hm,
h.ne_top (ideal.eq_top_of_is_unit_mem _ hm.2 (map_units f ⟨m, hm.left⟩))⟩,
{ refine λ hJ, h.ne_top _,
rw [eq_top_iff, ← f.order_embedding.le_iff_le],
exact le_of_eq hJ.symm },
{ intros x y hxy,
rw [ideal.mem_comap, ring_hom.map_mul] at hxy,
exact h.mem_or_mem hxy } },
{ refine λ h, ⟨λ hJ, h.left.ne_top (eq_top_iff.2 _), _⟩,
{ rwa [eq_top_iff, ← f.order_embedding.le_iff_le] at hJ },
{ intros x y hxy,
obtain ⟨a, s, ha⟩ := mk'_surjective f x,
obtain ⟨b, t, hb⟩ := mk'_surjective f y,
have : f.mk' (a * b) (s * t) ∈ J := by rwa [mk'_mul, ha, hb],
rw [mk'_mem_iff, ← ideal.mem_comap] at this,
replace this := h.left.mem_or_mem this,
rw [ideal.mem_comap, ideal.mem_comap] at this,
rwa [← ha, ← hb, mk'_mem_iff, mk'_mem_iff] } }
end
/-- If `R` is a ring, then prime ideals in the localization at `M`
correspond to prime ideals in the original ring `R` that are disjoint from `M`.
This lemma gives the particular case for an ideal and its map,
see `le_rel_iso_of_prime` for the more general relation isomorphism, and the reverse implication -/
lemma is_prime_of_is_prime_disjoint (I : ideal R) (hp : I.is_prime)
(hd : disjoint (M : set R) ↑I) : (ideal.map f.to_map I).is_prime :=
begin
rw [is_prime_iff_is_prime_disjoint f, comap_map_of_is_prime_disjoint f I hp hd],
exact ⟨hp, hd⟩
end
/-- If `R` is a ring, then prime ideals in the localization at `M`
correspond to prime ideals in the original ring `R` that are disjoint from `M` -/
def order_iso_of_prime (f : localization_map M S) :
{p : ideal S // p.is_prime} ≃o {p : ideal R // p.is_prime ∧ disjoint (M : set R) ↑p} :=
{ to_fun := λ p, ⟨ideal.comap f.to_map p.1, (is_prime_iff_is_prime_disjoint f p.1).1 p.2⟩,
inv_fun := λ p, ⟨ideal.map f.to_map p.1, is_prime_of_is_prime_disjoint f p.1 p.2.1 p.2.2⟩,
left_inv := λ J, subtype.eq (map_comap f J),
right_inv := λ I, subtype.eq (comap_map_of_is_prime_disjoint f I.1 I.2.1 I.2.2),
map_rel_iff' := λ I I', ⟨λ h, (show I.val ≤ I'.val,
from (map_comap f I.val) ▸ (map_comap f I'.val) ▸ (ideal.map_mono h)), λ h x hx, h hx⟩ }
/-- `quotient_map` applied to maximal ideals of a localization is `surjective`.
The quotient by a maximal ideal is a field, so inverses to elements already exist,
and the localization necessarily maps the equivalence class of the inverse in the localization -/
lemma surjective_quotient_map_of_maximal_of_localization {f : localization_map M S} {I : ideal S}
[I.is_prime] {J : ideal R} {H : J ≤ I.comap f.to_map} (hI : (I.comap f.to_map).is_maximal) :
function.surjective (I.quotient_map f.to_map H) :=
begin
intro s,
obtain ⟨s, rfl⟩ := ideal.quotient.mk_surjective s,
obtain ⟨r, ⟨m, hm⟩, rfl⟩ := f.mk'_surjective s,
by_cases hM : (ideal.quotient.mk (I.comap f.to_map)) m = 0,
{ have : I = ⊤,
{ rw ideal.eq_top_iff_one,
rw [ideal.quotient.eq_zero_iff_mem, ideal.mem_comap] at hM,
convert I.mul_mem_right (f.mk' 1 ⟨m, hm⟩) hM,
rw [← f.mk'_eq_mul_mk'_one, f.mk'_self] },
exact ⟨0, eq_comm.1 (by simp [ideal.quotient.eq_zero_iff_mem, this])⟩ },
{ rw ideal.quotient.maximal_ideal_iff_is_field_quotient at hI,
obtain ⟨n, hn⟩ := hI.3 hM,
obtain ⟨rn, rfl⟩ := ideal.quotient.mk_surjective n,
refine ⟨(ideal.quotient.mk J) (r * rn), _⟩,
-- The rest of the proof is essentially just algebraic manipulations to prove the equality
rw ← ring_hom.map_mul at hn,
replace hn := congr_arg (ideal.quotient_map I f.to_map le_rfl) hn,
simp only [ring_hom.map_one, ideal.quotient_map_mk, ring_hom.map_mul] at hn,
rw [ideal.quotient_map_mk, ← sub_eq_zero, ← ring_hom.map_sub,
ideal.quotient.eq_zero_iff_mem, ← ideal.quotient.eq_zero_iff_mem, ring_hom.map_sub,
sub_eq_zero, localization_map.mk'_eq_mul_mk'_one],
simp only [mul_eq_mul_left_iff, ring_hom.map_mul],
exact or.inl (mul_left_cancel' (λ hn, hM (ideal.quotient.eq_zero_iff_mem.2
(ideal.mem_comap.2 (ideal.quotient.eq_zero_iff_mem.1 hn)))) (trans hn
(by rw [← ring_hom.map_mul, ← f.mk'_eq_mul_mk'_one, f.mk'_self, ring_hom.map_one]))) }
end
end ideals
/-!
### `algebra` section
Defines the `R`-algebra instance on a copy of `S` carrying the data of the localization map
`f` needed to induce the `R`-algebra structure. -/
/-- We use a copy of the localization map `f`'s codomain `S` carrying the data of `f` so that the
`R`-algebra instance on `S` can 'know' the map needed to induce the `R`-algebra structure. -/
instance algebra : algebra R f.codomain := f.to_map.to_algebra
end localization_map
namespace localization
instance : algebra R (localization M) := localization_map.algebra (of M)
end localization
namespace localization_map
variables (f : localization_map M S)
@[simp] lemma of_id (a : R) :
(algebra.of_id R f.codomain) a = f.to_map a :=
rfl
@[simp] lemma algebra_map_eq : algebra_map R f.codomain = f.to_map := rfl
variables (f)
/-- Localization map `f` from `R` to `S` as an `R`-linear map. -/
def lin_coe : R →ₗ[R] f.codomain :=
{ to_fun := f.to_map,
map_add' := f.to_map.map_add,
map_smul' := f.to_map.map_mul }
/-- Map from ideals of `R` to submodules of `S` induced by `f`. -/
-- This was previously a `has_coe` instance, but if `f.codomain = R` then this will loop.
-- It could be a `has_coe_t` instance, but we keep it explicit here to avoid slowing down
-- the rest of the library.
def coe_submodule (I : ideal R) : submodule R f.codomain := submodule.map f.lin_coe I
variables {f}
lemma mem_coe_submodule (I : ideal R) {x : S} :
x ∈ f.coe_submodule I ↔ ∃ y : R, y ∈ I ∧ f.to_map y = x :=
iff.rfl
@[simp] lemma lin_coe_apply {x} : f.lin_coe x = f.to_map x := rfl
variables {g : R →+* P}
variables {T : submonoid P} (hy : ∀ y : M, g y ∈ T) {Q : Type*} [comm_ring Q]
(k : localization_map T Q)
lemma map_smul (x : f.codomain) (z : R) :
f.map hy k (z • x : f.codomain) = @has_scalar.smul P k.codomain _ (g z) (f.map hy k x) :=
show f.map hy k (f.to_map z * x) = k.to_map (g z) * f.map hy k x,
by rw [ring_hom.map_mul, map_eq]
lemma is_noetherian_ring (h : is_noetherian_ring R) : is_noetherian_ring f.codomain :=
begin
rw [is_noetherian_ring_iff, is_noetherian_iff_well_founded] at h ⊢,
exact order_embedding.well_founded (f.order_embedding.dual) h
end
end localization_map
namespace localization
variables (f : localization_map M S)
/-- Given a localization map `f : R →+* S` for a submonoid `M`, we get an `R`-preserving
isomorphism between the localization of `R` at `M` as a quotient type and `S`. -/
noncomputable def alg_equiv_of_quotient : localization M ≃ₐ[R] f.codomain :=
{ commutes' := ring_equiv_of_quotient_of,
..ring_equiv_of_quotient f }
lemma alg_equiv_of_quotient_apply (x : localization M) :
alg_equiv_of_quotient f x = ring_equiv_of_quotient f x := rfl
lemma alg_equiv_of_quotient_symm_apply (x : f.codomain) :
(alg_equiv_of_quotient f).symm x = (ring_equiv_of_quotient f).symm x := rfl
end localization
namespace localization_map
section integer_normalization
variables {f : localization_map M S}
open finsupp polynomial
open_locale classical
/-- `coeff_integer_normalization p` gives the coefficients of the polynomial
`integer_normalization p` -/
noncomputable def coeff_integer_normalization (p : polynomial f.codomain) (i : ℕ) : R :=
if hi : i ∈ p.support
then classical.some (classical.some_spec
(f.exist_integer_multiples_of_finset (p.support.image p.coeff))
(p.coeff i)
(finset.mem_image.mpr ⟨i, hi, rfl⟩))
else 0
lemma coeff_integer_normalization_mem_support (p : polynomial f.codomain) (i : ℕ)
(h : coeff_integer_normalization p i ≠ 0) : i ∈ p.support :=
begin
contrapose h,
rw [ne.def, not_not, coeff_integer_normalization, dif_neg h]
end
/-- `integer_normalization g` normalizes `g` to have integer coefficients
by clearing the denominators -/
noncomputable def integer_normalization (f : localization_map M S) :
polynomial f.codomain → polynomial R :=
λ p, on_finset p.support (coeff_integer_normalization p) (coeff_integer_normalization_mem_support p)
@[simp]
lemma integer_normalization_coeff (p : polynomial f.codomain) (i : ℕ) :
(f.integer_normalization p).coeff i = coeff_integer_normalization p i := rfl
lemma integer_normalization_spec (p : polynomial f.codomain) :
∃ (b : M), ∀ i, f.to_map ((f.integer_normalization p).coeff i) = f.to_map b * p.coeff i :=
begin
use classical.some (f.exist_integer_multiples_of_finset (p.support.image p.coeff)),
intro i,
rw [integer_normalization_coeff, coeff_integer_normalization],
split_ifs with hi,
{ exact classical.some_spec (classical.some_spec
(f.exist_integer_multiples_of_finset (p.support.image p.coeff))
(p.coeff i)
(finset.mem_image.mpr ⟨i, hi, rfl⟩)) },
{ convert (_root_.mul_zero (f.to_map _)).symm,
{ exact f.to_ring_hom.map_zero },
{ exact finsupp.not_mem_support_iff.mp hi } }
end
lemma integer_normalization_map_to_map (p : polynomial f.codomain) :
∃ (b : M), (f.integer_normalization p).map f.to_map = f.to_map b • p :=
let ⟨b, hb⟩ := integer_normalization_spec p in
⟨b, polynomial.ext (λ i, by { rw coeff_map, exact hb i })⟩
variables {R' : Type*} [comm_ring R']
lemma integer_normalization_eval₂_eq_zero (g : f.codomain →+* R') (p : polynomial f.codomain)
{x : R'} (hx : eval₂ g x p = 0) : eval₂ (g.comp f.to_map) x (f.integer_normalization p) = 0 :=
let ⟨b, hb⟩ := integer_normalization_map_to_map p in
trans (eval₂_map f.to_map g x).symm (by rw [hb, eval₂_smul, hx, mul_zero])
lemma integer_normalization_aeval_eq_zero [algebra R R'] [algebra f.codomain R']
[is_scalar_tower R f.codomain R'] (p : polynomial f.codomain)
{x : R'} (hx : aeval x p = 0) : aeval x (f.integer_normalization p) = 0 :=
by rw [aeval_def, is_scalar_tower.algebra_map_eq R f.codomain R', algebra_map_eq,
integer_normalization_eval₂_eq_zero _ _ hx]
end integer_normalization
variables {R} {A K : Type*} [integral_domain A]
lemma to_map_eq_zero_iff (f : localization_map M S) {x : R} (hM : M ≤ non_zero_divisors R) :
f.to_map x = 0 ↔ x = 0 :=
begin
rw ← f.to_map.map_zero,
split; intro h,
{ cases f.eq_iff_exists.mp h with c hc,
rw zero_mul at hc,
exact hM c.2 x hc },
{ rw h },
end
lemma injective (f : localization_map M S) (hM : M ≤ non_zero_divisors R) :
injective f.to_map :=
begin
rw ring_hom.injective_iff f.to_map,
intros a ha,
rw [← f.to_map.map_zero, f.eq_iff_exists] at ha,
cases ha with c hc,
rw zero_mul at hc,
exact hM c.2 a hc,
end
protected lemma to_map_ne_zero_of_mem_non_zero_divisors [nontrivial R] (f : localization_map M S)
(hM : M ≤ non_zero_divisors R) (x : non_zero_divisors R) : f.to_map x ≠ 0 :=
map_ne_zero_of_mem_non_zero_divisors (f.injective hM)
/-- A `comm_ring` `S` which is the localization of an integral domain `R` at a subset of
non-zero elements is an integral domain. -/
def integral_domain_of_le_non_zero_divisors {M : submonoid A} (f : localization_map M S)
(hM : M ≤ non_zero_divisors A) : integral_domain S :=
{ eq_zero_or_eq_zero_of_mul_eq_zero :=
begin
intros z w h,
cases f.surj z with x hx,
cases f.surj w with y hy,
have : z * w * f.to_map y.2 * f.to_map x.2 = f.to_map x.1 * f.to_map y.1,
by rw [mul_assoc z, hy, ←hx]; ac_refl,
rw [h, zero_mul, zero_mul, ← f.to_map.map_mul] at this,
cases eq_zero_or_eq_zero_of_mul_eq_zero ((to_map_eq_zero_iff f hM).mp this.symm) with H H,
{ exact or.inl (f.eq_zero_of_fst_eq_zero hx H) },
{ exact or.inr (f.eq_zero_of_fst_eq_zero hy H) },
end,
exists_pair_ne := ⟨f.to_map 0, f.to_map 1, λ h, zero_ne_one (f.injective hM h)⟩,
..(infer_instance : comm_ring S) }
/-- The localization at of an integral domain to a set of non-zero elements is an integral domain -/
def integral_domain_localization {M : submonoid A} (hM : M ≤ non_zero_divisors A) :
integral_domain (localization M) :=
(localization.of M).integral_domain_of_le_non_zero_divisors hM
/--
The localization of an integral domain at the complement of a prime ideal is an integral domain.
-/
instance integral_domain_of_local_at_prime {P : ideal A} (hp : P.is_prime) :
integral_domain (localization.at_prime P) :=
integral_domain_localization (le_non_zero_divisors_of_domain (by simpa only [] using P.zero_mem))
end localization_map
section at_prime
namespace localization
local attribute [instance] classical.prop_decidable
/-- The image of `P` in the localization at `P.prime_compl` is a maximal ideal, and in particular
it is the unique maximal ideal given by the local ring structure `at_prime.local_ring` -/
lemma at_prime.map_eq_maximal_ideal {P : ideal R} [hP : ideal.is_prime P] :
ideal.map (localization.of P.prime_compl).to_map P =
(local_ring.maximal_ideal (localization P.prime_compl)) :=
begin
let f := localization.of P.prime_compl,
ext x,
split; simp only [local_ring.mem_maximal_ideal, mem_nonunits_iff]; intro hx,
{ exact λ h, (localization_map.is_prime_of_is_prime_disjoint f P hP
disjoint_compl_left).ne_top (ideal.eq_top_of_is_unit_mem _ hx h) },
{ obtain ⟨⟨a, b⟩, hab⟩ := localization_map.surj f x,
contrapose! hx,
rw is_unit_iff_exists_inv,
rw localization_map.mem_map_to_map_iff at hx,
obtain ⟨a', ha'⟩ := is_unit_iff_exists_inv.1
(localization_map.map_units f ⟨a, λ ha, hx ⟨⟨⟨a, ha⟩, b⟩, hab⟩⟩),
exact ⟨f.to_map b * a', by rwa [← mul_assoc, hab]⟩ }
end
/-- The unique maximal ideal of the localization at `P.prime_compl` lies over the ideal `P`. -/
lemma at_prime.comap_maximal_ideal {P : ideal R} [ideal.is_prime P] :
ideal.comap (localization.of P.prime_compl).to_map
(local_ring.maximal_ideal (localization P.prime_compl)) = P :=
begin
let Pₚ := local_ring.maximal_ideal (localization P.prime_compl),
refine le_antisymm (λ x hx, _)
(le_trans ideal.le_comap_map (ideal.comap_mono (le_of_eq at_prime.map_eq_maximal_ideal))),
by_cases h0 : x = 0,
{ exact h0.symm ▸ P.zero_mem },
{ have : Pₚ.is_prime := ideal.is_maximal.is_prime (local_ring.maximal_ideal.is_maximal _),
rw localization_map.is_prime_iff_is_prime_disjoint (localization.of P.prime_compl) at this,
contrapose! h0 with hx',
simpa using this.2 ⟨hx', hx⟩ }
end
end localization
end at_prime
/-- If `R` is a field, then localizing at a submonoid not containing `0` adds no new elements. -/
lemma localization_map_bijective_of_field {R Rₘ : Type*} [integral_domain R] [comm_ring Rₘ]
{M : submonoid R} (hM : (0 : R) ∉ M) (hR : is_field R)
(f : localization_map M Rₘ) : function.bijective f.to_map :=
begin
refine ⟨f.injective (le_non_zero_divisors_of_domain hM), λ x, _⟩,
obtain ⟨r, ⟨m, hm⟩, rfl⟩ := f.mk'_surjective x,
obtain ⟨n, hn⟩ := hR.mul_inv_cancel (λ hm0, hM (hm0 ▸ hm) : m ≠ 0),
exact ⟨r * n,
by erw [f.eq_mk'_iff_mul_eq, ← f.to_map.map_mul, mul_assoc, mul_comm n, hn, mul_one]⟩
end
variables (R) {A : Type*} [integral_domain A]
variables (K : Type*)
/-- Localization map from an integral domain `R` to its field of fractions. -/
@[reducible] def fraction_map [comm_ring K] := localization_map (non_zero_divisors R) K
namespace fraction_map
open localization_map
variables {R K}
lemma to_map_eq_zero_iff [comm_ring K] (φ : fraction_map R K) {x : R} :
φ.to_map x = 0 ↔ x = 0 :=
φ.to_map_eq_zero_iff (le_of_eq rfl)
protected theorem injective [comm_ring K] (φ : fraction_map R K) :
function.injective φ.to_map :=
φ.injective (le_of_eq rfl)
protected lemma to_map_ne_zero_of_mem_non_zero_divisors [nontrivial R] [comm_ring K]
(φ : fraction_map R K) (x : non_zero_divisors R) : φ.to_map x ≠ 0 :=
φ.to_map_ne_zero_of_mem_non_zero_divisors (le_of_eq rfl) x
/-- A `comm_ring` `K` which is the localization of an integral domain `R` at `R - {0}` is an
integral domain. -/
def to_integral_domain [comm_ring K] (φ : fraction_map A K) : integral_domain K :=
φ.integral_domain_of_le_non_zero_divisors (le_of_eq rfl)
local attribute [instance] classical.dec_eq
/-- The inverse of an element in the field of fractions of an integral domain. -/
protected noncomputable def inv [comm_ring K] (φ : fraction_map A K) (z : K) : K :=
if h : z = 0 then 0 else
φ.mk' (φ.to_localization_map.sec z).2 ⟨(φ.to_localization_map.sec z).1,
mem_non_zero_divisors_iff_ne_zero.2 $ λ h0, h $ φ.eq_zero_of_fst_eq_zero (sec_spec z) h0⟩
protected lemma mul_inv_cancel [comm_ring K] (φ : fraction_map A K) (x : K) (hx : x ≠ 0) :
x * φ.inv x = 1 :=
show x * dite _ _ _ = 1, by rw [dif_neg hx,
←is_unit.mul_left_inj (φ.map_units ⟨(φ.to_localization_map.sec x).1,
mem_non_zero_divisors_iff_ne_zero.2 $ λ h0, hx $ φ.eq_zero_of_fst_eq_zero (sec_spec x) h0⟩),
one_mul, mul_assoc, mk'_spec, ←eq_mk'_iff_mul_eq]; exact (φ.mk'_sec x).symm
/-- A `comm_ring` `K` which is the localization of an integral domain `R` at `R - {0}` is a
field. -/
noncomputable def to_field [comm_ring K] (φ : fraction_map A K) : field K :=
{ inv := φ.inv,
mul_inv_cancel := φ.mul_inv_cancel,
inv_zero := dif_pos rfl, ..φ.to_integral_domain }
variables {B : Type*} [integral_domain B] [field K] {L : Type*} [field L]
(f : fraction_map A K) {g : A →+* L}
lemma mk'_eq_div {r s} : f.mk' r s = f.to_map r / f.to_map s :=
f.mk'_eq_iff_eq_mul.2 $ (div_mul_cancel _
(f.to_map_ne_zero_of_mem_non_zero_divisors _)).symm
lemma is_unit_map_of_injective (hg : function.injective g)
(y : non_zero_divisors A) : is_unit (g y) :=
is_unit.mk0 (g y) $ map_ne_zero_of_mem_non_zero_divisors hg
/-- Given an integral domain `A`, a localization map to its fields of fractions
`f : A →+* K`, and an injective ring hom `g : A →+* L` where `L` is a field, we get a
field hom sending `z : K` to `g x * (g y)⁻¹`, where `(x, y) : A × (non_zero_divisors A)` are
such that `z = f x * (f y)⁻¹`. -/
noncomputable def lift (hg : injective g) : K →+* L :=
f.lift $ is_unit_map_of_injective hg
/-- Given an integral domain `A`, a localization map to its fields of fractions
`f : A →+* K`, and an injective ring hom `g : A →+* L` where `L` is a field,
field hom induced from `K` to `L` maps `f x / f y` to `g x / g y` for all
`x : A, y ∈ non_zero_divisors A`. -/
@[simp] lemma lift_mk' (hg : injective g) (x y) :
f.lift hg (f.mk' x y) = g x / g y :=
begin
erw f.lift_mk' (is_unit_map_of_injective hg),
erw submonoid.localization_map.mul_inv_left
(λ y : non_zero_divisors A, show is_unit (g.to_monoid_hom y), from
is_unit_map_of_injective hg y),
exact (mul_div_cancel' _ (map_ne_zero_of_mem_non_zero_divisors hg)).symm,
end
/-- Given integral domains `A, B` and localization maps to their fields of fractions
`f : A →+* K, g : B →+* L` and an injective ring hom `j : A →+* B`, we get a field hom
sending `z : K` to `g (j x) * (g (j y))⁻¹`, where `(x, y) : A × (non_zero_divisors A)` are
such that `z = f x * (f y)⁻¹`. -/
noncomputable def map (g : fraction_map B L) {j : A →+* B} (hj : injective j) :
K →+* L :=
f.map (λ y, mem_non_zero_divisors_iff_ne_zero.2 $
map_ne_zero_of_mem_non_zero_divisors hj) g
/-- Given integral domains `A, B` and localization maps to their fields of fractions
`f : A →+* K, g : B →+* L`, an isomorphism `j : A ≃+* B` induces an isomorphism of
fields of fractions `K ≃+* L`. -/
noncomputable def field_equiv_of_ring_equiv (g : fraction_map B L) (h : A ≃+* B) :
K ≃+* L :=
f.ring_equiv_of_ring_equiv g h
begin
ext b,
show b ∈ h.to_equiv '' _ ↔ _,
erw [h.to_equiv.image_eq_preimage, set.preimage, set.mem_set_of_eq,
mem_non_zero_divisors_iff_ne_zero, mem_non_zero_divisors_iff_ne_zero],
exact h.symm.map_ne_zero_iff
end
/-- The cast from `int` to `rat` as a `fraction_map`. -/
def int.fraction_map : fraction_map ℤ ℚ :=
{ to_fun := coe,
map_units' :=
begin
rintro ⟨x, hx⟩,
rw mem_non_zero_divisors_iff_ne_zero at hx,
simpa only [is_unit_iff_ne_zero, int.cast_eq_zero, ne.def, subtype.coe_mk] using hx,
end,
surj' :=
begin
rintro ⟨n, d, hd, h⟩,
refine ⟨⟨n, ⟨d, _⟩⟩, rat.mul_denom_eq_num⟩,
rwa [mem_non_zero_divisors_iff_ne_zero, int.coe_nat_ne_zero_iff_pos]
end,
eq_iff_exists' :=
begin
intros x y,
rw [int.cast_inj],
refine ⟨by { rintro rfl, use 1 }, _⟩,
rintro ⟨⟨c, hc⟩, h⟩,
apply int.eq_of_mul_eq_mul_right _ h,
rwa mem_non_zero_divisors_iff_ne_zero at hc,
end,
..int.cast_ring_hom ℚ }
lemma integer_normalization_eq_zero_iff {p : polynomial f.codomain} :
f.integer_normalization p = 0 ↔ p = 0 :=
begin
refine (polynomial.ext_iff.trans (polynomial.ext_iff.trans _).symm),
obtain ⟨⟨b, nonzero⟩, hb⟩ := integer_normalization_spec p,
split; intros h i,
{ apply f.to_map_eq_zero_iff.mp,
rw [hb i, h i],
exact _root_.mul_zero _ },
{ have hi := h i,
rw [polynomial.coeff_zero, ← f.to_map_eq_zero_iff, hb i] at hi,
apply or.resolve_left (eq_zero_or_eq_zero_of_mul_eq_zero hi),
intro h,
apply mem_non_zero_divisors_iff_ne_zero.mp nonzero,
exact f.to_map_eq_zero_iff.mp h }
end
/-- A field is algebraic over the ring `A` iff it is algebraic over the field of fractions of `A`.
-/
lemma comap_is_algebraic_iff [algebra A L] [algebra f.codomain L] [is_scalar_tower A f.codomain L] :
algebra.is_algebraic A L ↔ algebra.is_algebraic f.codomain L :=
begin
split; intros h x; obtain ⟨p, hp, px⟩ := h x,
{ refine ⟨p.map f.to_map, λ h, hp (polynomial.ext (λ i, _)), _⟩,
{ have : f.to_map (p.coeff i) = 0 := trans (polynomial.coeff_map _ _).symm (by simp [h]),
exact f.to_map_eq_zero_iff.mp this },
{ rwa [is_scalar_tower.aeval_apply _ f.codomain, algebra_map_eq] at px } },
{ exact ⟨f.integer_normalization p,
mt f.integer_normalization_eq_zero_iff.mp hp,
integer_normalization_aeval_eq_zero p px⟩ },
end
section num_denom
variables [unique_factorization_monoid A] (φ : fraction_map A K)
lemma exists_reduced_fraction (x : φ.codomain) :
∃ (a : A) (b : non_zero_divisors A),
(∀ {d}, d ∣ a → d ∣ b → is_unit d) ∧ φ.mk' a b = x :=
begin
obtain ⟨⟨b, b_nonzero⟩, a, hab⟩ := φ.exists_integer_multiple x,
obtain ⟨a', b', c', no_factor, rfl, rfl⟩ :=
unique_factorization_monoid.exists_reduced_factors' a b
(mem_non_zero_divisors_iff_ne_zero.mp b_nonzero),
obtain ⟨c'_nonzero, b'_nonzero⟩ := mul_mem_non_zero_divisors.mp b_nonzero,
refine ⟨a', ⟨b', b'_nonzero⟩, @no_factor, _⟩,
apply mul_left_cancel' (φ.to_map_ne_zero_of_mem_non_zero_divisors ⟨c' * b', b_nonzero⟩),
simp only [subtype.coe_mk, φ.to_map.map_mul] at *,
erw [←hab, mul_assoc, φ.mk'_spec' a' ⟨b', b'_nonzero⟩],
end
/-- `f.num x` is the numerator of `x : f.codomain` as a reduced fraction. -/
noncomputable def num (x : φ.codomain) : A :=
classical.some (φ.exists_reduced_fraction x)
/-- `f.num x` is the denominator of `x : f.codomain` as a reduced fraction. -/
noncomputable def denom (x : φ.codomain) : non_zero_divisors A :=
classical.some (classical.some_spec (φ.exists_reduced_fraction x))
lemma num_denom_reduced (x : φ.codomain) :
∀ {d}, d ∣ φ.num x → d ∣ φ.denom x → is_unit d :=
(classical.some_spec (classical.some_spec (φ.exists_reduced_fraction x))).1
@[simp] lemma mk'_num_denom (x : φ.codomain) : φ.mk' (φ.num x) (φ.denom x) = x :=
(classical.some_spec (classical.some_spec (φ.exists_reduced_fraction x))).2
lemma num_mul_denom_eq_num_iff_eq {x y : φ.codomain} :
x * φ.to_map (φ.denom y) = φ.to_map (φ.num y) ↔ x = y :=
⟨ λ h, by simpa only [mk'_num_denom] using φ.eq_mk'_iff_mul_eq.mpr h,
λ h, φ.eq_mk'_iff_mul_eq.mp (by rw [h, mk'_num_denom]) ⟩
lemma num_mul_denom_eq_num_iff_eq' {x y : φ.codomain} :
y * φ.to_map (φ.denom x) = φ.to_map (φ.num x) ↔ x = y :=
⟨ λ h, by simpa only [eq_comm, mk'_num_denom] using φ.eq_mk'_iff_mul_eq.mpr h,
λ h, φ.eq_mk'_iff_mul_eq.mp (by rw [h, mk'_num_denom]) ⟩
lemma num_mul_denom_eq_num_mul_denom_iff_eq {x y : φ.codomain} :
φ.num y * φ.denom x = φ.num x * φ.denom y ↔ x = y :=
⟨ λ h, by simpa only [mk'_num_denom] using φ.mk'_eq_of_eq h,
λ h, by rw h ⟩
lemma eq_zero_of_num_eq_zero {x : φ.codomain} (h : φ.num x = 0) : x = 0 :=
φ.num_mul_denom_eq_num_iff_eq'.mp (by rw [zero_mul, h, ring_hom.map_zero])
lemma is_integer_of_is_unit_denom {x : φ.codomain} (h : is_unit (φ.denom x : A)) : φ.is_integer x :=
begin
cases h with d hd,
have d_ne_zero : φ.to_map (φ.denom x) ≠ 0 :=
φ.to_map_ne_zero_of_mem_non_zero_divisors (φ.denom x),
use ↑d⁻¹ * φ.num x,
refine trans _ (φ.mk'_num_denom x),
rw [φ.to_map.map_mul, φ.to_map.map_units_inv, hd],
apply mul_left_cancel' d_ne_zero,
rw [←mul_assoc, mul_inv_cancel d_ne_zero, one_mul, φ.mk'_spec']
end
lemma is_unit_denom_of_num_eq_zero {x : φ.codomain} (h : φ.num x = 0) : is_unit (φ.denom x : A) :=
φ.num_denom_reduced x (h.symm ▸ dvd_zero _) (dvd_refl _)
end num_denom
end fraction_map
section algebra
section is_integral
variables {R S} {Rₘ Sₘ : Type*} [comm_ring Rₘ] [comm_ring Sₘ] [algebra R S]
/-- Definition of the natural algebra induced by the localization of an algebra.
Given an algebra `R → S`, a submonoid `R` of `M`, and a localization `Rₘ` for `M`,
let `Sₘ` be the localization of `S` to the image of `M` under `algebra_map R S`.
Then this is the natural algebra structure on `Rₘ → Sₘ`, such that the entire square commutes,
where `localization_map.map_comp` gives the commutativity of the underlying maps -/
noncomputable def localization_algebra (M : submonoid R) (f : localization_map M Rₘ)
(g : localization_map (algebra.algebra_map_submonoid S M) Sₘ) : algebra Rₘ Sₘ :=
(f.map (@algebra.mem_algebra_map_submonoid_of_mem R S _ _ _ _) g).to_algebra
variables (f : localization_map M Rₘ)
variables (g : localization_map (algebra.algebra_map_submonoid S M) Sₘ)
lemma algebra_map_mk' (r : R) (m : M) :
(@algebra_map Rₘ Sₘ _ _ (localization_algebra M f g)) (f.mk' r m) =
g.mk' (algebra_map R S r) ⟨algebra_map R S m, algebra.mem_algebra_map_submonoid_of_mem m⟩ :=
localization_map.map_mk' f _ r m
/-- Injectivity of a map descends to the map induced on localizations. -/
lemma map_injective_of_injective {R S : Type*} [comm_ring R] [comm_ring S]
(ϕ : R →+* S) (hϕ : function.injective ϕ) (M : submonoid R)
(f : localization_map M Rₘ) (g : localization_map (M.map ϕ : submonoid S) Sₘ)
(hM : (M.map ϕ : submonoid S) ≤ non_zero_divisors S) :
function.injective (f.map (M.mem_map_of_mem (ϕ : R →* S)) g) :=
begin
rintros x y hxy,
obtain ⟨a, b, rfl⟩ := localization_map.mk'_surjective f x,
obtain ⟨c, d, rfl⟩ := localization_map.mk'_surjective f y,
rw [localization_map.map_mk' f _ a b, localization_map.map_mk' f _ c d,
localization_map.mk'_eq_iff_eq] at hxy,
refine (localization_map.mk'_eq_iff_eq f).2 (congr_arg f.to_map (hϕ _)),
convert g.injective hM hxy; simp,
end
/-- Injectivity of the underlying `algebra_map` descends to the algebra induced by localization. -/
lemma localization_algebra_injective (hRS : function.injective (algebra_map R S))
(hM : algebra.algebra_map_submonoid S M ≤ non_zero_divisors S) :
function.injective (@algebra_map Rₘ Sₘ _ _ (localization_algebra M f g)) :=
map_injective_of_injective (algebra_map R S) hRS M f g hM
open polynomial
lemma ring_hom.is_integral_elem_localization_at_leading_coeff
{R S : Type*} [comm_ring R] [comm_ring S] (f : R →+* S)
(x : S) (p : polynomial R) (hf : p.eval₂ f x = 0) (M : submonoid R)
(hM : p.leading_coeff ∈ M) {Rₘ Sₘ : Type*} [comm_ring Rₘ] [comm_ring Sₘ]
(ϕ : localization_map M Rₘ) (ϕ' : localization_map (M.map ↑f : submonoid S) Sₘ) :
(ϕ.map (M.mem_map_of_mem (f : R →* S)) ϕ').is_integral_elem (ϕ'.to_map x) :=
begin
by_cases triv : (1 : Rₘ) = 0,
{ exact ⟨0, ⟨trans leading_coeff_zero triv.symm, eval₂_zero _ _⟩⟩ },
haveI : nontrivial Rₘ := nontrivial_of_ne 1 0 triv,
obtain ⟨b, hb⟩ := is_unit_iff_exists_inv.mp
(localization_map.map_units ϕ ⟨p.leading_coeff, hM⟩),
refine ⟨(p.map ϕ.to_map) * C b, ⟨_, _⟩⟩,
{ refine monic_mul_C_of_leading_coeff_mul_eq_one _,
rwa leading_coeff_map_of_leading_coeff_ne_zero ϕ.to_map,
refine λ hfp, zero_ne_one (trans (zero_mul b).symm (hfp ▸ hb) : (0 : Rₘ) = 1) },
{ refine eval₂_mul_eq_zero_of_left _ _ _ _,
erw [eval₂_map, localization_map.map_comp, ← hom_eval₂ _ f ϕ'.to_map x],
exact trans (congr_arg ϕ'.to_map hf) ϕ'.to_map.map_zero }
end
/-- Given a particular witness to an element being algebraic over an algebra `R → S`,
We can localize to a submonoid containing the leading coefficient to make it integral.
Explicitly, the map between the localizations will be an integral ring morphism -/
theorem is_integral_localization_at_leading_coeff {x : S} (p : polynomial R)
(hp : aeval x p = 0) (hM : p.leading_coeff ∈ M) :
(f.map (@algebra.mem_algebra_map_submonoid_of_mem R S _ _ _ _) g).is_integral_elem (g.to_map x) :=
(algebra_map R S).is_integral_elem_localization_at_leading_coeff x p hp M hM f g
/-- If `R → S` is an integral extension, `M` is a submonoid of `R`,
`Rₘ` is the localization of `R` at `M`,
and `Sₘ` is the localization of `S` at the image of `M` under the extension map,
then the induced map `Rₘ → Sₘ` is also an integral extension -/
theorem is_integral_localization (H : algebra.is_integral R S) :
(f.map (@algebra.mem_algebra_map_submonoid_of_mem R S _ _ _ _) g).is_integral :=
begin
intro x,
by_cases triv : (1 : R) = 0,
{ have : (1 : Rₘ) = 0 := by convert congr_arg f.to_map triv; simp,
exact ⟨0, ⟨trans leading_coeff_zero this.symm, eval₂_zero _ _⟩⟩ },
{ haveI : nontrivial R := nontrivial_of_ne 1 0 triv,
obtain ⟨⟨s, ⟨u, hu⟩⟩, hx⟩ := g.surj x,
obtain ⟨v, hv⟩ := hu,
obtain ⟨v', hv'⟩ := is_unit_iff_exists_inv'.1 (f.map_units ⟨v, hv.1⟩),
refine @is_integral_of_is_integral_mul_unit Rₘ _ _ _
(localization_algebra M f g) x (g.to_map u) v' _ _,
{ replace hv' := congr_arg (@algebra_map Rₘ Sₘ _ _ (localization_algebra M f g)) hv',
rw [ring_hom.map_mul, ring_hom.map_one, ← ring_hom.comp_apply _ f.to_map] at hv',
erw localization_map.map_comp at hv',
exact hv.2 ▸ hv' },
{ obtain ⟨p, hp⟩ := H s,
exact hx.symm ▸ is_integral_localization_at_leading_coeff
f g p hp.2 (hp.1.symm ▸ M.one_mem) } }
end
lemma is_integral_localization' {R S : Type*} [comm_ring R] [comm_ring S]
{f : R →+* S} (hf : f.is_integral) (M : submonoid R) :
((localization.of M).map (M.mem_map_of_mem (f : R →* S))
(localization.of (M.map ↑f))).is_integral :=
@is_integral_localization R _ M S _ _ _ _ _ f.to_algebra _ _ hf
end is_integral
namespace integral_closure
variables {L : Type*} [field K] [field L] (f : fraction_map A K)
open algebra
/-- If the field `L` is an algebraic extension of the integral domain `A`,
the integral closure of `A` in `L` has fraction field `L`. -/
def fraction_map_of_algebraic [algebra A L] (alg : is_algebraic A L)
(inj : ∀ x, algebra_map A L x = 0 → x = 0) :
fraction_map (integral_closure A L) L :=
(algebra_map (integral_closure A L) L).to_localization_map
(λ ⟨⟨y, integral⟩, nonzero⟩,
have y ≠ 0 := λ h, mem_non_zero_divisors_iff_ne_zero.mp nonzero (subtype.ext_iff_val.mpr h),
show is_unit y, from ⟨⟨y, y⁻¹, mul_inv_cancel this, inv_mul_cancel this⟩, rfl⟩)
(λ z, let ⟨x, y, hy, hxy⟩ := exists_integral_multiple (alg z) inj in
⟨⟨x, ⟨y, mem_non_zero_divisors_iff_ne_zero.mpr hy⟩⟩, hxy⟩)
(λ x y, ⟨ λ (h : x.1 = y.1), ⟨1, by simpa using subtype.ext_iff_val.mpr h⟩,
λ ⟨c, hc⟩, congr_arg (algebra_map _ L)
(mul_right_cancel' (mem_non_zero_divisors_iff_ne_zero.mp c.2) hc) ⟩)
variables {K} (L)
/-- If the field `L` is a finite extension of the fraction field of the integral domain `A`,
the integral closure of `A` in `L` has fraction field `L`. -/
def fraction_map_of_finite_extension [algebra A L] [algebra f.codomain L]
[is_scalar_tower A f.codomain L] [finite_dimensional f.codomain L] :
fraction_map (integral_closure A L) L :=
fraction_map_of_algebraic
(f.comap_is_algebraic_iff.mpr is_algebraic_of_finite)
(λ x hx, f.to_map_eq_zero_iff.mp ((algebra_map f.codomain L).map_eq_zero.mp $
(is_scalar_tower.algebra_map_apply _ _ _ _).symm.trans hx))
end integral_closure
end algebra
variables (A)
/-- The fraction field of an integral domain as a quotient type. -/
@[reducible] def fraction_ring := localization (non_zero_divisors A)
namespace fraction_ring
/-- Natural hom sending `x : A`, `A` an integral domain, to the equivalence class of
`(x, 1)` in the field of fractions of `A`. -/
def of : fraction_map A (localization (non_zero_divisors A)) :=
localization.of (non_zero_divisors A)
variables {A}
noncomputable instance : field (fraction_ring A) :=
(of A).to_field
@[simp] lemma mk_eq_div {r s} : (localization.mk r s : fraction_ring A) =
((of A).to_map r / (of A).to_map s : fraction_ring A) :=
by erw [localization.mk_eq_mk', (of A).mk'_eq_div]
/-- Given an integral domain `A` and a localization map to a field of fractions
`f : A →+* K`, we get an `A`-isomorphism between the field of fractions of `A` as a quotient
type and `K`. -/
noncomputable def alg_equiv_of_quotient {K : Type*} [field K] (f : fraction_map A K) :
fraction_ring A ≃ₐ[A] f.codomain :=
localization.alg_equiv_of_quotient f
instance : algebra A (fraction_ring A) :=
(of A).to_map.to_algebra
end fraction_ring
|
919e66286efd98224df92c59c38f5d28f3a85ecf | 88892181780ff536a81e794003fe058062f06758 | /src/100_theorems/t060.lean | 2291fa3646dcd73d4817e558aa2a53e5cadc66e7 | [] | no_license | AtnNn/lean-sandbox | fe2c44280444e8bb8146ab8ac391c82b480c0a2e | 8c68afbdc09213173aef1be195da7a9a86060a97 | refs/heads/master | 1,623,004,395,876 | 1,579,969,507,000 | 1,579,969,507,000 | 146,666,368 | 0 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 239 | lean | import algebra.euclidean_domain
-- Bezout’s Theorem
universe u
open euclidean_domain
theorem t060 {α : Type u} [euclidean_domain α] [decidable_eq α]
: Π (a b : α), (gcd a b : α) = a * gcd_a a b + b * gcd_b a b
:= gcd_eq_gcd_ab
|
98c943720c722d16e714a501383e36d48f373341 | c8af905dcd8475f414868d303b2eb0e9d3eb32f9 | /src/data/cpi/semantics/with_normalise.lean | 2bd0ccb77df4b91d7c3007cc9888643eb59bf441 | [
"BSD-3-Clause"
] | permissive | continuouspi/lean-cpi | 81480a13842d67ff5f3698643210d8ed5dd08de4 | 443bf2cb236feadc45a01387099c236ab2b78237 | refs/heads/master | 1,650,307,316,582 | 1,587,033,364,000 | 1,587,033,364,000 | 207,499,661 | 1 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 1,584 | lean | import data.cpi.semantics.relation
namespace cpi
namespace normalise
open_locale normalise
variables {ℍ : Type} {ω : context}
/-- "Equivalence" of concretions, just defined as exact equality for now. -/
def concretion_setoid {b y Γ} : setoid (concretion ℍ ω b y Γ) := ⟨ eq, eq_equivalence ⟩
localized "attribute [instance] cpi.normalise.concretion_setoid" in normalise
instance concretion.has_repr [has_repr ℍ] {b y Γ} : has_repr (concretion' ℍ ω b y Γ) :=
⟨ λ x, quot.lift_on x repr (λ x y eql, by { cases eql, from rfl }) ⟩
/-- `cpi.cpi_equiv` for n-equivalence -/
def cpi_equiv (ℍ : Type) (ω : context) [decidable_eq ℍ] : cpi_equiv ℍ ω :=
{ species_equiv := by apply_instance,
concretion_equiv := by apply_instance,
decide_species := by apply_instance,
decide_concretion := by apply_instance,
prime_decompose := λ Γ A, species.normalise.prime_decompose A,
prime_decompose_equiv := λ Γ A B equ, by rw species.normalise.prime_decompose.equiv equ,
prime_decompose_nil := λ Γ, by { rw species.normalise.prime_decompose.nil, from rfl },
prime_decompose_parallel := λ Γ A B, by { rw species.normalise.prime_decompose.parallel, from rfl },
prime_decompose_prime := λ Γ A, by rw species.normalise.prime_decompose.prime,
pseudo_apply := λ Γ b y F G, quotient.lift_on₂ F G
(λ F G, ⟦ concretion.pseudo_apply F G ⟧)
(λ F G F' G' eqF eqG, by { cases eqF, cases eqG, from rfl }) }
localized "attribute [instance] cpi.normalise.cpi_equiv" in normalise
end normalise
end cpi
#lint-
|
2586bf62465b5a77db9f9f14ac3606cf53f87a6b | bb31430994044506fa42fd667e2d556327e18dfe | /src/analysis/bounded_variation.lean | bb435c8f434af6c62ff74b472e3ed21c7f3a411f | [
"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 | 40,886 | lean | /-
Copyright (c) 2022 Sébastien Gouëzel. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Sébastien Gouëzel
-/
import measure_theory.measure.lebesgue
import analysis.calculus.monotone
import data.set.function
/-!
# Functions of bounded variation
We study functions of bounded variation. In particular, we show that a bounded variation function
is a difference of monotone functions, and differentiable almost everywhere. This implies that
Lipschitz functions from the real line into finite-dimensional vector space are also differentiable
almost everywhere.
## Main definitions and results
* `evariation_on f s` is the total variation of the function `f` on the set `s`, in `ℝ≥0∞`.
* `has_bounded_variation_on f s` registers that the variation of `f` on `s` is finite.
* `has_locally_bounded_variation f s` registers that `f` has finite variation on any compact
subinterval of `s`.
* `evariation_on.Icc_add_Icc` states that the variation of `f` on `[a, c]` is the sum of its
variations on `[a, b]` and `[b, c]`.
* `has_locally_bounded_variation_on.exists_monotone_on_sub_monotone_on` proves that a function
with locally bounded variation is the difference of two monotone functions.
* `lipschitz_with.has_locally_bounded_variation_on` shows that a Lipschitz function has locally
bounded variation.
* `has_locally_bounded_variation_on.ae_differentiable_within_at` shows that a bounded variation
function into a finite dimensional real vector space is differentiable almost everywhere.
* `lipschitz_on_with.ae_differentiable_within_at` is the same result for Lipschitz functions.
We also give several variations around these results.
## Implementation
We define the variation as an extended nonnegative real, to allow for infinite variation. This makes
it possible to use the complete linear order structure of `ℝ≥0∞`. The proofs would be much
more tedious with an `ℝ`-valued or `ℝ≥0`-valued variation, since one would always need to check
that the sets one uses are nonempty and bounded above as these are only conditionally complete.
-/
open_locale big_operators nnreal ennreal topological_space uniform_convergence
open set measure_theory filter
variables {α β : Type*} [linear_order α] [linear_order β]
{E F : Type*} [pseudo_emetric_space E] [pseudo_emetric_space F]
{V : Type*} [normed_add_comm_group V] [normed_space ℝ V] [finite_dimensional ℝ V]
/-- The (extended real valued) variation of a function `f` on a set `s` inside a linear order is
the supremum of the sum of `edist (f (u (i+1))) (f (u i))` over all finite increasing
sequences `u` in `s`. -/
noncomputable def evariation_on (f : α → E) (s : set α) : ℝ≥0∞ :=
⨆ (p : ℕ × {u : ℕ → α // monotone u ∧ ∀ i, u i ∈ s}),
∑ i in finset.range p.1, edist (f ((p.2 : ℕ → α) (i+1))) (f ((p.2 : ℕ → α) i))
/-- A function has bounded variation on a set `s` if its total variation there is finite. -/
def has_bounded_variation_on (f : α → E) (s : set α) :=
evariation_on f s ≠ ∞
/-- A function has locally bounded variation on a set `s` if, given any interval `[a, b]` with
endpoints in `s`, then the function has finite variation on `s ∩ [a, b]`. -/
def has_locally_bounded_variation_on (f : α → E) (s : set α) :=
∀ a b, a ∈ s → b ∈ s → has_bounded_variation_on f (s ∩ Icc a b)
/-! ## Basic computations of variation -/
namespace evariation_on
lemma nonempty_monotone_mem {s : set α} (hs : s.nonempty) :
nonempty {u // monotone u ∧ ∀ (i : ℕ), u i ∈ s} :=
begin
obtain ⟨x, hx⟩ := hs,
exact ⟨⟨λ i, x, λ i j hij, le_rfl, λ i, hx⟩⟩,
end
lemma eq_of_edist_zero_on {f f' : α → E} {s : set α} (h : ∀ ⦃x⦄, x ∈ s → edist (f x) (f' x) = 0) :
evariation_on f s = evariation_on f' s :=
begin
dsimp only [evariation_on],
congr' 1 with p : 1,
congr' 1 with i : 1,
rw [edist_congr_right (h $ p.snd.prop.2 (i+1)), edist_congr_left (h $ p.snd.prop.2 i)],
end
lemma eq_of_eq_on {f f' : α → E} {s : set α} (h : set.eq_on f f' s) :
evariation_on f s = evariation_on f' s :=
eq_of_edist_zero_on (λ x xs, by rw [h xs, edist_self])
lemma sum_le
(f : α → E) {s : set α} (n : ℕ) {u : ℕ → α} (hu : monotone u) (us : ∀ i, u i ∈ s) :
∑ i in finset.range n, edist (f (u (i+1))) (f (u i)) ≤ evariation_on f s :=
le_supr_of_le ⟨n, u, hu, us⟩ le_rfl
lemma sum_le_of_monotone_on_Iic
(f : α → E) {s : set α} {n : ℕ} {u : ℕ → α} (hu : monotone_on u (Iic n))
(us : ∀ i ≤ n, u i ∈ s) :
∑ i in finset.range n, edist (f (u (i+1))) (f (u i)) ≤ evariation_on f s :=
begin
let v := λ i, if i ≤ n then u i else u n,
have vs : ∀ i, v i ∈ s,
{ assume i,
simp only [v],
split_ifs,
{ exact us i h },
{ exact us n le_rfl } },
have hv : monotone v,
{ apply monotone_nat_of_le_succ (λ i, _),
simp only [v],
rcases lt_trichotomy i n with hi|rfl|hi,
{ have : i + 1 ≤ n, by linarith,
simp only [hi.le, this, if_true],
exact hu hi.le this (nat.le_succ i) },
{ simp only [le_refl, if_true, add_le_iff_nonpos_right, le_zero_iff, nat.one_ne_zero,
if_false] },
{ have A : ¬(i ≤ n), by linarith,
have B : ¬(i + 1 ≤ n), by linarith,
simp [A, B] } },
convert sum_le f n hv vs using 1,
apply finset.sum_congr rfl (λ i hi, _),
simp only [finset.mem_range] at hi,
have : i + 1 ≤ n, by linarith,
simp only [v],
simp [this, hi.le],
end
lemma sum_le_of_monotone_on_Icc
(f : α → E) {s : set α} {m n : ℕ} {u : ℕ → α} (hu : monotone_on u (Icc m n))
(us : ∀ i ∈ Icc m n, u i ∈ s) :
∑ i in finset.Ico m n, edist (f (u (i+1))) (f (u i)) ≤ evariation_on f s :=
begin
rcases le_or_lt n m with hnm|hmn,
{ simp only [finset.Ico_eq_empty_of_le hnm, finset.sum_empty, zero_le'] },
let v := λ i, u (m + i),
have hv : monotone_on v (Iic (n - m)),
{ assume a ha b hb hab,
simp only [le_tsub_iff_left hmn.le, mem_Iic] at ha hb,
exact hu ⟨le_add_right le_rfl, ha⟩ ⟨le_add_right le_rfl, hb⟩ (add_le_add le_rfl hab) },
have vs : ∀ i ∈ Iic (n - m), v i ∈ s,
{ assume i hi,
simp only [le_tsub_iff_left hmn.le, mem_Iic] at hi,
exact us _ ⟨le_add_right le_rfl, hi⟩ },
calc ∑ i in finset.Ico m n, edist (f (u (i + 1))) (f (u i))
= ∑ i in finset.range (n - m), edist (f (u (m + i + 1))) (f (u (m + i))) :
begin
rw [finset.range_eq_Ico],
convert (finset.sum_Ico_add (λ i, edist (f (u (i + 1))) (f (u i))) 0 (n - m) m).symm,
{ rw [zero_add] },
{ rw tsub_add_cancel_of_le hmn.le }
end
... = ∑ i in finset.range (n - m), edist (f (v (i + 1))) (f (v i)) :
begin
apply finset.sum_congr rfl (λ i hi, _),
simp only [v, add_assoc],
end
... ≤ evariation_on f s : sum_le_of_monotone_on_Iic f hv vs,
end
lemma mono (f : α → E) {s t : set α} (hst : t ⊆ s) :
evariation_on f t ≤ evariation_on f s :=
begin
apply supr_le _,
rintros ⟨n, ⟨u, hu, ut⟩⟩,
exact sum_le f n hu (λ i, hst (ut i)),
end
lemma _root_.has_bounded_variation_on.mono {f : α → E} {s : set α}
(h : has_bounded_variation_on f s) {t : set α} (ht : t ⊆ s) :
has_bounded_variation_on f t :=
(lt_of_le_of_lt (evariation_on.mono f ht) (lt_top_iff_ne_top.2 h)).ne
lemma _root_.has_bounded_variation_on.has_locally_bounded_variation_on {f : α → E} {s : set α}
(h : has_bounded_variation_on f s) : has_locally_bounded_variation_on f s :=
λ x y hx hy, h.mono (inter_subset_left _ _)
lemma edist_le (f : α → E) {s : set α} {x y : α} (hx : x ∈ s) (hy : y ∈ s) :
edist (f x) (f y) ≤ evariation_on f s :=
begin
wlog hxy : x ≤ y := le_total x y using [x y, y x] tactic.skip, swap,
{ assume hx hy,
rw edist_comm,
exact this hy hx },
let u : ℕ → α := λ n, if n = 0 then x else y,
have hu : monotone u,
{ assume m n hmn,
dsimp only [u],
split_ifs,
exacts [le_rfl, hxy, by linarith [pos_iff_ne_zero.2 h], le_rfl] },
have us : ∀ i, u i ∈ s,
{ assume i,
dsimp only [u],
split_ifs,
exacts [hx, hy] },
convert sum_le f 1 hu us,
simp [u, edist_comm],
end
lemma eq_zero_iff (f : α → E) {s : set α} :
evariation_on f s = 0 ↔ ∀ (x y ∈ s), edist (f x) (f y) = 0 :=
begin
split,
{ rintro h x xs y ys,
rw [←le_zero_iff, ←h],
exact edist_le f xs ys, },
{ rintro h,
dsimp only [evariation_on],
rw ennreal.supr_eq_zero,
rintro ⟨n, u, um, us⟩,
exact finset.sum_eq_zero (λ i hi, h _ (us i.succ) _ (us i)), },
end
lemma constant_on {f : α → E} {s : set α} (hf : (f '' s).subsingleton) : evariation_on f s = 0 :=
begin
rw eq_zero_iff,
rintro x xs y ys,
rw [hf ⟨x, xs, rfl⟩ ⟨y, ys, rfl⟩, edist_self],
end
@[simp] protected lemma subsingleton (f : α → E) {s : set α} (hs : s.subsingleton) :
evariation_on f s = 0 := constant_on (hs.image f)
lemma lower_continuous_aux {ι : Type*} {F : ι → α → E} {p : filter ι}
{f : α → E} {s : set α} (Ffs : ∀ x ∈ s, tendsto (λ i, F i x) p (𝓝 (f x)))
{v : ℝ≥0∞} (hv : v < evariation_on f s) : ∀ᶠ (n : ι) in p, v < evariation_on (F n) s :=
begin
obtain ⟨⟨n, ⟨u, um, us⟩⟩, hlt⟩ :
∃ (p : ℕ × {u : ℕ → α // monotone u ∧ ∀ i, u i ∈ s}),
v < ∑ i in finset.range p.1, edist (f ((p.2 : ℕ → α) (i+1))) (f ((p.2 : ℕ → α) i)) :=
lt_supr_iff.mp hv,
have : tendsto (λ j, ∑ (i : ℕ) in finset.range n, edist (F j (u (i + 1))) (F j (u i)))
p (𝓝 (∑ (i : ℕ) in finset.range n, edist (f (u (i + 1))) (f (u i)))),
{ apply tendsto_finset_sum,
exact λ i hi, tendsto.edist (Ffs (u i.succ) (us i.succ)) (Ffs (u i) (us i)) },
exact (eventually_gt_of_tendsto_gt hlt this).mono
(λ i h, lt_of_lt_of_le h (sum_le (F i) n um us)),
end
/--
The map `λ f, evariation_on f s` is lower semicontinuous for pointwise convergence *on `s`*.
Pointwise convergence on `s` is encoded here as uniform convergence on the family consisting of the
singletons of elements of `s`.
-/
@[protected]
lemma lower_semicontinuous (s : set α) :
lower_semicontinuous (λ f : α →ᵤ[s.image singleton] E, evariation_on f s) :=
begin
intro f,
apply @lower_continuous_aux _ _ _ _ (uniform_on_fun α E (s.image singleton)) id (𝓝 f) f s _,
simpa only [uniform_on_fun.tendsto_iff_tendsto_uniformly_on, mem_image, forall_exists_index,
and_imp, forall_apply_eq_imp_iff₂,
tendsto_uniformly_on_singleton_iff_tendsto] using @tendsto_id _ (𝓝 f),
end
/--
The map `λ f, evariation_on f s` is lower semicontinuous for uniform convergence on `s`.
-/
lemma lower_semicontinuous_uniform_on (s : set α) :
lower_semicontinuous (λ f : α →ᵤ[{s}] E, evariation_on f s) :=
begin
intro f,
apply @lower_continuous_aux _ _ _ _ (uniform_on_fun α E {s}) id (𝓝 f) f s _,
have := @tendsto_id _ (𝓝 f),
rw uniform_on_fun.tendsto_iff_tendsto_uniformly_on at this,
simp_rw ←tendsto_uniformly_on_singleton_iff_tendsto,
exact λ x xs, ((this s rfl).mono (singleton_subset_iff.mpr xs)),
end
lemma _root_.has_bounded_variation_on.dist_le {E : Type*} [pseudo_metric_space E]
{f : α → E} {s : set α} (h : has_bounded_variation_on f s) {x y : α} (hx : x ∈ s) (hy : y ∈ s) :
dist (f x) (f y) ≤ (evariation_on f s).to_real :=
begin
rw [← ennreal.of_real_le_of_real_iff ennreal.to_real_nonneg, ennreal.of_real_to_real h,
← edist_dist],
exact edist_le f hx hy
end
lemma _root_.has_bounded_variation_on.sub_le
{f : α → ℝ} {s : set α} (h : has_bounded_variation_on f s) {x y : α} (hx : x ∈ s) (hy : y ∈ s) :
f x - f y ≤ (evariation_on f s).to_real :=
begin
apply (le_abs_self _).trans,
rw ← real.dist_eq,
exact h.dist_le hx hy
end
/-- Consider a monotone function `u` parameterizing some points of a set `s`. Given `x ∈ s`, then
one can find another monotone function `v` parameterizing the same points as `u`, with `x` added.
In particular, the variation of a function along `u` is bounded by its variation along `v`. -/
lemma add_point (f : α → E) {s : set α} {x : α} (hx : x ∈ s)
(u : ℕ → α) (hu : monotone u) (us : ∀ i, u i ∈ s) (n : ℕ) :
∃ (v : ℕ → α) (m : ℕ), monotone v ∧ (∀ i, v i ∈ s) ∧ x ∈ v '' (Iio m) ∧
∑ i in finset.range n, edist (f (u (i+1))) (f (u i)) ≤
∑ j in finset.range m, edist (f (v (j+1))) (f (v j)) :=
begin
rcases le_or_lt (u n) x with h|h,
{ let v := λ i, if i ≤ n then u i else x,
have vs : ∀ i, v i ∈ s,
{ assume i,
simp only [v],
split_ifs,
{ exact us i },
{ exact hx } },
have hv : monotone v,
{ apply monotone_nat_of_le_succ (λ i, _),
simp only [v],
rcases lt_trichotomy i n with hi|rfl|hi,
{ have : i + 1 ≤ n := nat.succ_le_of_lt hi,
simp only [hi.le, this, if_true],
exact hu (nat.le_succ i) },
{ simp only [le_refl, if_true, add_le_iff_nonpos_right, le_zero_iff, nat.one_ne_zero,
if_false, h], },
{ have A : ¬(i ≤ n) := hi.not_le,
have B : ¬(i + 1 ≤ n) := λ h, A (i.le_succ.trans h),
simp only [A, B, if_false]} },
refine ⟨v, n+2, hv, vs, (mem_image _ _ _).2 ⟨n+1, _, _⟩, _⟩,
{ rw mem_Iio, exact nat.lt_succ_self (n+1) },
{ have : ¬(n + 1 ≤ n) := nat.not_succ_le_self n,
simp only [this, ite_eq_right_iff, is_empty.forall_iff] },
{ calc
∑ i in finset.range n, edist (f (u (i+1))) (f (u i))
= ∑ i in finset.range n, edist (f (v (i+1))) (f (v i)) :
begin
apply finset.sum_congr rfl (λ i hi, _),
simp only [finset.mem_range] at hi,
have : i + 1 ≤ n := nat.succ_le_of_lt hi,
dsimp only [v],
simp only [hi.le, this, if_true],
end
... ≤ ∑ j in finset.range (n + 2), edist (f (v (j+1))) (f (v j)) :
finset.sum_le_sum_of_subset (finset.range_mono (nat.le_add_right n 2)) } },
have exists_N : ∃ N, N ≤ n ∧ x < u N, from ⟨n, le_rfl, h⟩,
let N := nat.find exists_N,
have hN : N ≤ n ∧ x < u N := nat.find_spec exists_N,
let w : ℕ → α := λ i, if i < N then u i else if i = N then x else u (i - 1),
have ws : ∀ i, w i ∈ s,
{ dsimp only [w],
assume i,
split_ifs,
exacts [us _, hx, us _] },
have hw : monotone w,
{ apply monotone_nat_of_le_succ (λ i, _),
dsimp only [w],
rcases lt_trichotomy (i + 1) N with hi|hi|hi,
{ have : i < N := nat.lt_of_le_of_lt (nat.le_succ i) hi,
simp only [hi, this, if_true],
exact hu (nat.le_succ _) },
{ have A : i < N := hi ▸ (i.lt_succ_self),
have B : ¬(i + 1 < N) := by { rw ←hi, exact λ h, h.ne rfl, },
rw [if_pos A, if_neg B, if_pos hi],
have T := nat.find_min exists_N A,
push_neg at T,
exact T (A.le.trans hN.1) },
{ have A : ¬(i < N) := (nat.lt_succ_iff.mp hi).not_lt,
have B : ¬(i + 1 < N) := hi.not_lt,
have C : ¬(i + 1 = N) := hi.ne.symm,
have D : i + 1 - 1 = i := nat.pred_succ i,
rw [if_neg A, if_neg B, if_neg C, D],
split_ifs,
{ exact hN.2.le.trans (hu (le_of_not_lt A)) },
{ exact hu (nat.pred_le _) } } },
refine ⟨w, n+1, hw, ws, (mem_image _ _ _).2 ⟨N, hN.1.trans_lt (nat.lt_succ_self n), _⟩, _⟩,
{ dsimp only [w], rw [if_neg (lt_irrefl N), if_pos rfl] },
rcases eq_or_lt_of_le (zero_le N) with Npos|Npos,
{ calc ∑ i in finset.range n, edist (f (u (i + 1))) (f (u i))
= ∑ i in finset.range n, edist (f (w (1 + i + 1))) (f (w (1 + i))) :
begin
apply finset.sum_congr rfl (λ i hi, _),
dsimp only [w],
simp only [← Npos, nat.not_lt_zero, nat.add_succ_sub_one, add_zero, if_false,
add_eq_zero_iff, nat.one_ne_zero, false_and, nat.succ_add_sub_one, zero_add],
rw add_comm 1 i,
end
... = ∑ i in finset.Ico 1 (n + 1), edist (f (w (i + 1))) (f (w i)) :
begin
rw finset.range_eq_Ico,
exact finset.sum_Ico_add (λ i, edist (f (w (i + 1))) (f (w i))) 0 n 1,
end
... ≤ ∑ j in finset.range (n + 1), edist (f (w (j + 1))) (f (w j)) :
begin
apply finset.sum_le_sum_of_subset _,
rw finset.range_eq_Ico,
exact finset.Ico_subset_Ico zero_le_one le_rfl,
end },
{ calc ∑ i in finset.range n, edist (f (u (i + 1))) (f (u i))
= ∑ i in finset.Ico 0 (N-1), edist (f (u (i + 1))) (f (u i)) +
∑ i in finset.Ico (N-1) N, edist (f (u (i + 1))) (f (u i)) +
∑ i in finset.Ico N n, edist (f (u (i + 1))) (f (u i)) :
begin
rw [finset.sum_Ico_consecutive, finset.sum_Ico_consecutive, finset.range_eq_Ico],
{ exact zero_le _ },
{ exact hN.1 },
{ exact zero_le _},
{ exact nat.pred_le _ }
end
... = ∑ i in finset.Ico 0 (N-1), edist (f (w (i + 1))) (f (w i)) +
edist (f (u N)) (f (u (N - 1))) +
∑ i in finset.Ico N n, edist (f (w (1 + i + 1))) (f (w (1 + i))) :
begin
congr' 1, congr' 1,
{ apply finset.sum_congr rfl (λ i hi, _),
simp only [finset.mem_Ico, zero_le', true_and] at hi,
dsimp only [w],
have A : i + 1 < N, from nat.lt_pred_iff.1 hi,
have B : i < N := nat.lt_of_succ_lt A,
rw [if_pos A, if_pos B] },
{ have A : N - 1 + 1 = N, from nat.succ_pred_eq_of_pos Npos,
have : finset.Ico (N - 1) N = {N - 1}, by rw [← nat.Ico_succ_singleton, A],
simp only [this, A, finset.sum_singleton] },
{ apply finset.sum_congr rfl (λ i hi, _),
simp only [finset.mem_Ico] at hi,
dsimp only [w],
have A : ¬(1 + i + 1 < N) := λ h, by
{ rw [add_assoc, add_comm] at h,
exact (hi.left).not_lt ((i.lt_succ_self).trans ((i.succ.lt_succ_self).trans h)), },
have B : ¬(1 + i + 1 = N) := λ h, by
{ rw [←h, add_assoc, add_comm] at hi,
exact nat.not_succ_le_self i (i.succ.le_succ.trans hi.left), },
have C : ¬(1 + i < N) := λ h, by
{ rw [add_comm] at h, exact (hi.left).not_lt (i.lt_succ_self.trans h), },
have D : ¬(1 + i = N) := λ h, by
{ rw [←h, add_comm, nat.succ_le_iff] at hi, exact hi.left.ne rfl, },
rw [if_neg A, if_neg B, if_neg C, if_neg D],
congr' 3;
{ rw [add_comm, nat.sub_one], apply nat.pred_succ, } }
end
... = ∑ i in finset.Ico 0 (N-1), edist (f (w (i + 1))) (f (w i)) +
edist (f (w (N + 1))) (f (w (N - 1))) +
∑ i in finset.Ico (N + 1) (n + 1), edist (f (w (i + 1))) (f (w (i))) :
begin
congr' 1, congr' 1,
{ dsimp only [w],
have A : ¬(N + 1 < N) := nat.not_succ_lt_self,
have B : N - 1 < N := nat.pred_lt Npos.ne',
simp only [A, not_and, not_lt, nat.succ_ne_self, nat.add_succ_sub_one, add_zero, if_false,
B, if_true] },
{ exact finset.sum_Ico_add (λ i, edist (f (w (i + 1))) (f (w i))) N n 1 }
end
... ≤ ∑ i in finset.Ico 0 (N - 1), edist (f (w (i + 1))) (f (w i)) +
∑ i in finset.Ico (N - 1) (N + 1), edist (f (w (i + 1))) (f (w i)) +
∑ i in finset.Ico (N + 1) (n + 1), edist (f (w (i + 1))) (f (w i)) :
begin
refine add_le_add (add_le_add le_rfl _) le_rfl,
have A : N - 1 + 1 = N := nat.succ_pred_eq_of_pos Npos,
have B : N - 1 + 1 < N + 1 := A.symm ▸ N.lt_succ_self,
have C : N - 1 < N + 1 := lt_of_le_of_lt (N.pred_le) (N.lt_succ_self),
rw [finset.sum_eq_sum_Ico_succ_bot C, finset.sum_eq_sum_Ico_succ_bot B, A, finset.Ico_self,
finset.sum_empty, add_zero, add_comm (edist _ _)],
exact edist_triangle _ _ _,
end
... = ∑ j in finset.range (n + 1), edist (f (w (j + 1))) (f (w j)) :
begin
rw [finset.sum_Ico_consecutive, finset.sum_Ico_consecutive, finset.range_eq_Ico],
{ exact zero_le _ },
{ exact nat.succ_le_succ hN.left },
{ exact zero_le _ },
{ exact N.pred_le.trans (N.le_succ) }
end }
end
/-- The variation of a function on the union of two sets `s` and `t`, with `s` to the left of `t`,
bounds the sum of the variations along `s` and `t`. -/
lemma add_le_union (f : α → E) {s t : set α} (h : ∀ x ∈ s, ∀ y ∈ t, x ≤ y) :
evariation_on f s + evariation_on f t ≤ evariation_on f (s ∪ t) :=
begin
by_cases hs : s = ∅,
{ simp [hs] },
haveI : nonempty {u // monotone u ∧ ∀ (i : ℕ), u i ∈ s},
from nonempty_monotone_mem (nonempty_iff_ne_empty.2 hs),
by_cases ht : t = ∅,
{ simp [ht] },
haveI : nonempty {u // monotone u ∧ ∀ (i : ℕ), u i ∈ t},
from nonempty_monotone_mem (nonempty_iff_ne_empty.2 ht),
refine ennreal.supr_add_supr_le _,
/- We start from two sequences `u` and `v` along `s` and `t` respectively, and we build a new
sequence `w` along `s ∪ t` by juxtaposing them. Its variation is larger than the sum of the
variations. -/
rintros ⟨n, ⟨u, hu, us⟩⟩ ⟨m, ⟨v, hv, vt⟩⟩,
let w := λ i, if i ≤ n then u i else v (i - (n+1)),
have wst : ∀ i, w i ∈ s ∪ t,
{ assume i,
by_cases hi : i ≤ n,
{ simp [w, hi, us] },
{ simp [w, hi, vt] } },
have hw : monotone w,
{ assume i j hij,
dsimp only [w],
split_ifs,
{ exact hu hij },
{ apply h _ (us _) _ (vt _) },
{ exfalso, exact h_1 (hij.trans h_2), },
{ apply hv (tsub_le_tsub hij le_rfl) } },
calc ∑ i in finset.range n, edist (f (u (i + 1))) (f (u i))
+ ∑ (i : ℕ) in finset.range m, edist (f (v (i + 1))) (f (v i))
= ∑ i in finset.range n, edist (f (w (i + 1))) (f (w i))
+ ∑ (i : ℕ) in finset.range m, edist (f (w ((n+1) + i + 1))) (f (w ((n+1) + i))) :
begin
dsimp only [w],
congr' 1,
{ apply finset.sum_congr rfl (λ i hi, _),
simp only [finset.mem_range] at hi,
have : i + 1 ≤ n := nat.succ_le_of_lt hi,
simp [hi.le, this] },
{ apply finset.sum_congr rfl (λ i hi, _),
simp only [finset.mem_range] at hi,
have B : ¬(n + 1 + i ≤ n), by linarith,
have A : ¬(n + 1 + i + 1 ≤ n) := λ h, B ((n+1+i).le_succ.trans h),
have C : n + 1 + i - n = i + 1,
{ rw tsub_eq_iff_eq_add_of_le,
{ abel },
{ exact n.le_succ.trans (n.succ.le_add_right i), } },
simp only [A, B, C, nat.succ_sub_succ_eq_sub, if_false, add_tsub_cancel_left] }
end
... = ∑ i in finset.range n, edist (f (w (i + 1))) (f (w i))
+ ∑ (i : ℕ) in finset.Ico (n+1) ((n+1)+m), edist (f (w (i + 1))) (f (w i)) :
begin
congr' 1,
rw finset.range_eq_Ico,
convert finset.sum_Ico_add (λ (i : ℕ), edist (f (w (i + 1))) (f (w i))) 0 m (n+1) using 3;
abel,
end
... ≤ ∑ i in finset.range ((n+1) + m), edist (f (w (i + 1))) (f (w i)) :
begin
rw ← finset.sum_union,
{ apply finset.sum_le_sum_of_subset _,
rintros i hi,
simp only [finset.mem_union, finset.mem_range, finset.mem_Ico] at hi ⊢,
cases hi,
{ exact lt_of_lt_of_le hi (n.le_succ.trans (n.succ.le_add_right m)) },
{ exact hi.2 } },
{ apply finset.disjoint_left.2 (λ i hi h'i, _),
simp only [finset.mem_Ico, finset.mem_range] at hi h'i,
exact hi.not_lt (nat.lt_of_succ_le h'i.left) }
end
... ≤ evariation_on f (s ∪ t) : sum_le f _ hw wst
end
/-- If a set `s` is to the left of a set `t`, and both contain the boundary point `x`, then
the variation of `f` along `s ∪ t` is the sum of the variations. -/
lemma union (f : α → E) {s t : set α} {x : α} (hs : is_greatest s x) (ht : is_least t x) :
evariation_on f (s ∪ t) = evariation_on f s + evariation_on f t :=
begin
classical,
apply le_antisymm _ (evariation_on.add_le_union f (λ a ha b hb, le_trans (hs.2 ha) (ht.2 hb))),
apply supr_le _,
rintros ⟨n, ⟨u, hu, ust⟩⟩,
obtain ⟨v, m, hv, vst, xv, huv⟩ : ∃ (v : ℕ → α) (m : ℕ), monotone v ∧ (∀ i, v i ∈ s ∪ t) ∧
x ∈ v '' (Iio m) ∧ ∑ i in finset.range n, edist (f (u (i+1))) (f (u i)) ≤
∑ j in finset.range m, edist (f (v (j+1))) (f (v j)),
from evariation_on.add_point f (mem_union_left t hs.1) u hu ust n,
obtain ⟨N, hN, Nx⟩ : ∃ N, N < m ∧ v N = x, from xv,
calc ∑ j in finset.range n, edist (f (u (j + 1))) (f (u j))
≤ ∑ j in finset.range m, edist (f (v (j + 1))) (f (v j)) : huv
... = ∑ j in finset.Ico 0 N , edist (f (v (j + 1))) (f (v j))
+ ∑ j in finset.Ico N m , edist (f (v (j + 1))) (f (v j)) :
by rw [finset.range_eq_Ico, finset.sum_Ico_consecutive _ (zero_le _) hN.le]
... ≤ evariation_on f s + evariation_on f t :
begin
refine add_le_add _ _,
{ apply sum_le_of_monotone_on_Icc _ (hv.monotone_on _) (λ i hi, _),
rcases vst i with h|h, { exact h },
have : v i = x,
{ apply le_antisymm,
{ rw ← Nx, exact hv hi.2 },
{ exact ht.2 h } },
rw this,
exact hs.1 },
{ apply sum_le_of_monotone_on_Icc _ (hv.monotone_on _) (λ i hi, _),
rcases vst i with h|h, swap, { exact h },
have : v i = x,
{ apply le_antisymm,
{ exact hs.2 h },
{ rw ← Nx, exact hv hi.1 } },
rw this,
exact ht.1 }
end
end
lemma Icc_add_Icc (f : α → E) {s : set α} {a b c : α}
(hab : a ≤ b) (hbc : b ≤ c) (hb : b ∈ s) :
evariation_on f (s ∩ Icc a b) + evariation_on f (s ∩ Icc b c) = evariation_on f (s ∩ Icc a c) :=
begin
have A : is_greatest (s ∩ Icc a b) b :=
⟨⟨hb, hab, le_rfl⟩, (inter_subset_right _ _).trans (Icc_subset_Iic_self)⟩,
have B : is_least (s ∩ Icc b c) b :=
⟨⟨hb, le_rfl, hbc⟩, (inter_subset_right _ _).trans (Icc_subset_Ici_self)⟩,
rw [← evariation_on.union f A B, ← inter_union_distrib_left, Icc_union_Icc_eq_Icc hab hbc],
end
lemma comp_le_of_monotone_on (f : α → E) {s : set α} {t : set β} (φ : β → α)
(hφ : monotone_on φ t) (φst : set.maps_to φ t s) :
evariation_on (f ∘ φ) t ≤ evariation_on f s :=
supr_le $ λ ⟨n, u, hu, ut⟩, le_supr_of_le
⟨n, φ ∘ u, λ x y xy, hφ (ut x) (ut y) (hu xy), λ i, φst (ut i)⟩ le_rfl
lemma comp_le_of_antitone_on (f : α → E) {s : set α} {t : set β} (φ : β → α)
(hφ : antitone_on φ t) (φst : set.maps_to φ t s) :
evariation_on (f ∘ φ) t ≤ evariation_on f s :=
begin
refine supr_le _,
rintro ⟨n, u, hu, ut⟩,
rw ←finset.sum_range_reflect,
refine (finset.sum_congr rfl $ λ x hx, _).trans_le (le_supr_of_le ⟨n, λ i, φ (u $ n-i),
λ x y xy, hφ (ut _) (ut _) (hu $ n.sub_le_sub_left xy), λ i, φst (ut _)⟩ le_rfl),
dsimp only [subtype.coe_mk],
rw [edist_comm, nat.sub_sub, add_comm, nat.sub_succ, nat.add_one, nat.succ_pred_eq_of_pos],
simpa only [tsub_pos_iff_lt, finset.mem_range] using hx,
end
lemma comp_eq_of_monotone_on (f : α → E) {s : set α} {t : set β} (φ : β → α)
(hφ : monotone_on φ t) (φst : set.maps_to φ t s) (φsur : set.surj_on φ t s) :
evariation_on (f ∘ φ) t = evariation_on f s :=
begin
apply le_antisymm (comp_le_of_monotone_on f φ hφ φst),
casesI is_empty_or_nonempty β,
{ convert zero_le _,
exact evariation_on.subsingleton f ((subsingleton_of_subsingleton.image _).anti φsur) },
let ψ := φ.inv_fun_on t,
have ψφs : set.eq_on (φ ∘ ψ) id s := φsur.right_inv_on_inv_fun_on,
have ψts : set.maps_to ψ s t := φsur.maps_to_inv_fun_on,
have hψ : monotone_on ψ s :=
function.monotone_on_of_right_inv_on_of_maps_to hφ ψφs ψts,
change evariation_on (f ∘ id) s ≤ evariation_on (f ∘ φ) t,
rw ←eq_of_eq_on (ψφs.comp_left : set.eq_on (f ∘ (φ ∘ ψ)) (f ∘ id) s),
exact comp_le_of_monotone_on _ ψ hψ ψts,
end
lemma comp_eq_of_antitone_on (f : α → E) {s : set α} {t : set β} (φ : β → α)
(hφ : antitone_on φ t) (φst : set.maps_to φ t s) (φsur : set.surj_on φ t s) :
evariation_on (f ∘ φ) t = evariation_on f s :=
begin
apply le_antisymm (comp_le_of_antitone_on f φ hφ φst),
casesI is_empty_or_nonempty β,
{ convert zero_le _,
exact evariation_on.subsingleton f ((subsingleton_of_subsingleton.image _).anti φsur) },
let ψ := φ.inv_fun_on t,
have ψφs : set.eq_on (φ ∘ ψ) id s := φsur.right_inv_on_inv_fun_on,
have ψts : set.maps_to ψ s t := φsur.maps_to_inv_fun_on,
have hψ : antitone_on ψ s :=
function.antitone_on_of_right_inv_on_of_maps_to hφ ψφs ψts,
change evariation_on (f ∘ id) s ≤ evariation_on (f ∘ φ) t,
rw ←eq_of_eq_on (ψφs.comp_left : set.eq_on (f ∘ (φ ∘ ψ)) (f ∘ id) s),
exact comp_le_of_antitone_on _ ψ hψ ψts,
end
open order_dual
lemma comp_of_dual (f : α → E) (s : set α) :
evariation_on (f ∘ of_dual) (of_dual ⁻¹' s) = evariation_on f s :=
comp_eq_of_antitone_on f of_dual (λ _ _ _ _, id) (maps_to_preimage _ _) $ λ x hx, ⟨x, hx, rfl⟩
end evariation_on
/-! ## Monotone functions and bounded variation -/
lemma monotone_on.evariation_on_le {f : α → ℝ} {s : set α} (hf : monotone_on f s) {a b : α}
(as : a ∈ s) (bs : b ∈ s) :
evariation_on f (s ∩ Icc a b) ≤ ennreal.of_real (f b - f a) :=
begin
apply supr_le _,
rintros ⟨n, ⟨u, hu, us⟩⟩,
calc
∑ i in finset.range n, edist (f (u (i+1))) (f (u i))
= ∑ i in finset.range n, ennreal.of_real (f (u (i + 1)) - f (u i)) :
begin
apply finset.sum_congr rfl (λ i hi, _),
simp only [finset.mem_range] at hi,
rw [edist_dist, real.dist_eq, abs_of_nonneg],
exact sub_nonneg_of_le (hf (us i).1 (us (i+1)).1 (hu (nat.le_succ _))),
end
... = ennreal.of_real (∑ i in finset.range n, (f (u (i + 1)) - f (u i))) :
begin
rw [ennreal.of_real_sum_of_nonneg],
assume i hi,
exact sub_nonneg_of_le (hf (us i).1 (us (i+1)).1 (hu (nat.le_succ _)))
end
... = ennreal.of_real (f (u n) - f (u 0)) : by rw finset.sum_range_sub (λ i, f (u i))
... ≤ ennreal.of_real (f b - f a) :
begin
apply ennreal.of_real_le_of_real,
exact sub_le_sub (hf (us n).1 bs (us n).2.2) (hf as (us 0).1 (us 0).2.1),
end
end
lemma monotone_on.has_locally_bounded_variation_on {f : α → ℝ} {s : set α} (hf : monotone_on f s) :
has_locally_bounded_variation_on f s :=
λ a b as bs, ((hf.evariation_on_le as bs).trans_lt ennreal.of_real_lt_top).ne
/-- If a real valued function has bounded variation on a set, then it is a difference of monotone
functions there. -/
lemma has_locally_bounded_variation_on.exists_monotone_on_sub_monotone_on {f : α → ℝ} {s : set α}
(h : has_locally_bounded_variation_on f s) :
∃ (p q : α → ℝ), monotone_on p s ∧ monotone_on q s ∧ f = p - q :=
begin
rcases eq_empty_or_nonempty s with rfl|hs,
{ exact ⟨f, 0, subsingleton_empty.monotone_on _, subsingleton_empty.monotone_on _,
by simp only [tsub_zero]⟩ },
rcases hs with ⟨c, cs⟩,
let p := λ x, if c ≤ x then (evariation_on f (s ∩ Icc c x)).to_real
else -(evariation_on f (s ∩ Icc x c)).to_real,
have hp : monotone_on p s,
{ assume x xs y ys hxy,
dsimp only [p],
split_ifs with hcx hcy hcy,
{ have : evariation_on f (s ∩ Icc c x) + evariation_on f (s ∩ Icc x y)
= evariation_on f (s ∩ Icc c y), from evariation_on.Icc_add_Icc f hcx hxy xs,
rw [← this, ennreal.to_real_add (h c x cs xs) (h x y xs ys)],
exact le_add_of_le_of_nonneg le_rfl ennreal.to_real_nonneg },
{ exact (lt_irrefl _ ((not_le.1 hcy).trans_le (hcx.trans hxy))).elim },
{ exact (neg_nonpos.2 ennreal.to_real_nonneg).trans ennreal.to_real_nonneg },
{ simp only [neg_le_neg_iff],
have : evariation_on f (s ∩ Icc x y) + evariation_on f (s ∩ Icc y c)
= evariation_on f (s ∩ Icc x c), from evariation_on.Icc_add_Icc f hxy (not_le.1 hcy).le ys,
rw [← this, ennreal.to_real_add (h x y xs ys) (h y c ys cs), add_comm],
exact le_add_of_le_of_nonneg le_rfl ennreal.to_real_nonneg } },
have hq : monotone_on (λ x, p x - f x) s,
{ assume x xs y ys hxy,
dsimp only [p],
split_ifs with hcx hcy hcy,
{ have : evariation_on f (s ∩ Icc c x) + evariation_on f (s ∩ Icc x y)
= evariation_on f (s ∩ Icc c y), from evariation_on.Icc_add_Icc f hcx hxy xs,
rw [← this, ennreal.to_real_add (h c x cs xs) (h x y xs ys)],
suffices : f y - f x ≤ (evariation_on f (s ∩ Icc x y)).to_real, by linarith,
exact (h x y xs ys).sub_le ⟨ys, hxy, le_rfl⟩ ⟨xs, le_rfl, hxy⟩ },
{ exact (lt_irrefl _ ((not_le.1 hcy).trans_le (hcx.trans hxy))).elim },
{ suffices : f y - f x ≤ (evariation_on f (s ∩ Icc x c)).to_real
+ (evariation_on f (s ∩ Icc c y)).to_real, by linarith,
rw [← ennreal.to_real_add (h x c xs cs) (h c y cs ys),
evariation_on.Icc_add_Icc f (not_le.1 hcx).le hcy cs],
exact (h x y xs ys).sub_le ⟨ys, hxy, le_rfl⟩ ⟨xs, le_rfl, hxy⟩ },
{ have : evariation_on f (s ∩ Icc x y) + evariation_on f (s ∩ Icc y c)
= evariation_on f (s ∩ Icc x c), from evariation_on.Icc_add_Icc f hxy (not_le.1 hcy).le ys,
rw [← this, ennreal.to_real_add (h x y xs ys) (h y c ys cs)],
suffices : f y - f x ≤ (evariation_on f (s ∩ Icc x y)).to_real, by linarith,
exact (h x y xs ys).sub_le ⟨ys, hxy, le_rfl⟩ ⟨xs, le_rfl, hxy⟩ } },
refine ⟨p, λ x, p x - f x, hp, hq, _⟩,
ext x,
dsimp,
abel,
end
/-! ## Lipschitz functions and bounded variation -/
lemma lipschitz_on_with.comp_evariation_on_le {f : E → F} {C : ℝ≥0} {t : set E}
(h : lipschitz_on_with C f t) {g : α → E} {s : set α} (hg : maps_to g s t) :
evariation_on (f ∘ g) s ≤ C * evariation_on g s :=
begin
apply supr_le _,
rintros ⟨n, ⟨u, hu, us⟩⟩,
calc
∑ i in finset.range n, edist (f (g (u (i+1)))) (f (g (u i)))
≤ ∑ i in finset.range n, C * edist (g (u (i+1))) (g (u i)) :
finset.sum_le_sum (λ i hi, h (hg (us _)) (hg (us _)))
... = C * ∑ i in finset.range n, edist (g (u (i+1))) (g (u i)) : by rw finset.mul_sum
... ≤ C * evariation_on g s : mul_le_mul_left' (evariation_on.sum_le _ _ hu us) _
end
lemma lipschitz_on_with.comp_has_bounded_variation_on {f : E → F} {C : ℝ≥0} {t : set E}
(hf : lipschitz_on_with C f t) {g : α → E} {s : set α} (hg : maps_to g s t)
(h : has_bounded_variation_on g s) :
has_bounded_variation_on (f ∘ g) s :=
begin
dsimp [has_bounded_variation_on] at h,
apply ne_of_lt,
apply (hf.comp_evariation_on_le hg).trans_lt,
simp [lt_top_iff_ne_top, h],
end
lemma lipschitz_on_with.comp_has_locally_bounded_variation_on {f : E → F} {C : ℝ≥0} {t : set E}
(hf : lipschitz_on_with C f t) {g : α → E} {s : set α} (hg : maps_to g s t)
(h : has_locally_bounded_variation_on g s) :
has_locally_bounded_variation_on (f ∘ g) s :=
λ x y xs ys, hf.comp_has_bounded_variation_on (hg.mono_left (inter_subset_left _ _)) (h x y xs ys)
lemma lipschitz_with.comp_has_bounded_variation_on {f : E → F} {C : ℝ≥0}
(hf : lipschitz_with C f) {g : α → E} {s : set α} (h : has_bounded_variation_on g s) :
has_bounded_variation_on (f ∘ g) s :=
(hf.lipschitz_on_with univ).comp_has_bounded_variation_on (maps_to_univ _ _) h
lemma lipschitz_with.comp_has_locally_bounded_variation_on {f : E → F} {C : ℝ≥0}
(hf : lipschitz_with C f) {g : α → E} {s : set α} (h : has_locally_bounded_variation_on g s) :
has_locally_bounded_variation_on (f ∘ g) s :=
(hf.lipschitz_on_with univ).comp_has_locally_bounded_variation_on (maps_to_univ _ _) h
lemma lipschitz_on_with.has_locally_bounded_variation_on {f : ℝ → E} {C : ℝ≥0} {s : set ℝ}
(hf : lipschitz_on_with C f s) : has_locally_bounded_variation_on f s :=
hf.comp_has_locally_bounded_variation_on (maps_to_id _)
(@monotone_on_id ℝ _ s).has_locally_bounded_variation_on
lemma lipschitz_with.has_locally_bounded_variation_on {f : ℝ → E} {C : ℝ≥0}
(hf : lipschitz_with C f) (s : set ℝ) : has_locally_bounded_variation_on f s :=
(hf.lipschitz_on_with s).has_locally_bounded_variation_on
/-! ## Almost everywhere differentiability of functions with locally bounded variation -/
namespace has_locally_bounded_variation_on
/-- A bounded variation function into `ℝ` is differentiable almost everywhere. Superseded by
`ae_differentiable_within_at_of_mem`. -/
theorem ae_differentiable_within_at_of_mem_real
{f : ℝ → ℝ} {s : set ℝ} (h : has_locally_bounded_variation_on f s) :
∀ᵐ x, x ∈ s → differentiable_within_at ℝ f s x :=
begin
obtain ⟨p, q, hp, hq, fpq⟩ : ∃ p q, monotone_on p s ∧ monotone_on q s ∧ f = p - q,
from h.exists_monotone_on_sub_monotone_on,
filter_upwards [hp.ae_differentiable_within_at_of_mem, hq.ae_differentiable_within_at_of_mem]
with x hxp hxq xs,
have fpq : ∀ x, f x = p x - q x, by simp [fpq],
refine ((hxp xs).sub (hxq xs)).congr (λ y hy, fpq y) (fpq x),
end
/-- A bounded variation function into a finite dimensional product vector space is differentiable
almost everywhere. Superseded by `ae_differentiable_within_at_of_mem`. -/
theorem ae_differentiable_within_at_of_mem_pi {ι : Type*} [fintype ι]
{f : ℝ → (ι → ℝ)} {s : set ℝ} (h : has_locally_bounded_variation_on f s) :
∀ᵐ x, x ∈ s → differentiable_within_at ℝ f s x :=
begin
have A : ∀ (i : ι), lipschitz_with 1 (λ (x : ι → ℝ), x i) := λ i, lipschitz_with.eval i,
have : ∀ (i : ι), ∀ᵐ x, x ∈ s → differentiable_within_at ℝ (λ (x : ℝ), f x i) s x,
{ assume i,
apply ae_differentiable_within_at_of_mem_real,
exact lipschitz_with.comp_has_locally_bounded_variation_on (A i) h },
filter_upwards [ae_all_iff.2 this] with x hx xs,
exact differentiable_within_at_pi.2 (λ i, hx i xs),
end
/-- A real function into a finite dimensional real vector space with bounded variation on a set
is differentiable almost everywhere in this set. -/
theorem ae_differentiable_within_at_of_mem
{f : ℝ → V} {s : set ℝ} (h : has_locally_bounded_variation_on f s) :
∀ᵐ x, x ∈ s → differentiable_within_at ℝ f s x :=
begin
let A := (basis.of_vector_space ℝ V).equiv_fun.to_continuous_linear_equiv,
suffices H : ∀ᵐ x, x ∈ s → differentiable_within_at ℝ (A ∘ f) s x,
{ filter_upwards [H] with x hx xs,
have : f = (A.symm ∘ A) ∘ f,
by simp only [continuous_linear_equiv.symm_comp_self, function.comp.left_id],
rw this,
exact A.symm.differentiable_at.comp_differentiable_within_at x (hx xs) },
apply ae_differentiable_within_at_of_mem_pi,
exact A.lipschitz.comp_has_locally_bounded_variation_on h,
end
/-- A real function into a finite dimensional real vector space with bounded variation on a set
is differentiable almost everywhere in this set. -/
theorem ae_differentiable_within_at
{f : ℝ → V} {s : set ℝ} (h : has_locally_bounded_variation_on f s) (hs : measurable_set s) :
∀ᵐ x ∂(volume.restrict s), differentiable_within_at ℝ f s x :=
begin
rw ae_restrict_iff' hs,
exact h.ae_differentiable_within_at_of_mem
end
/-- A real function into a finite dimensional real vector space with bounded variation
is differentiable almost everywhere. -/
theorem ae_differentiable_at {f : ℝ → V} (h : has_locally_bounded_variation_on f univ) :
∀ᵐ x, differentiable_at ℝ f x :=
begin
filter_upwards [h.ae_differentiable_within_at_of_mem] with x hx,
rw differentiable_within_at_univ at hx,
exact hx (mem_univ _),
end
end has_locally_bounded_variation_on
/-- A real function into a finite dimensional real vector space which is Lipschitz on a set
is differentiable almost everywhere in this set . -/
lemma lipschitz_on_with.ae_differentiable_within_at_of_mem
{C : ℝ≥0} {f : ℝ → V} {s : set ℝ} (h : lipschitz_on_with C f s) :
∀ᵐ x, x ∈ s → differentiable_within_at ℝ f s x :=
h.has_locally_bounded_variation_on.ae_differentiable_within_at_of_mem
/-- A real function into a finite dimensional real vector space which is Lipschitz on a set
is differentiable almost everywhere in this set. -/
lemma lipschitz_on_with.ae_differentiable_within_at
{C : ℝ≥0} {f : ℝ → V} {s : set ℝ} (h : lipschitz_on_with C f s) (hs : measurable_set s) :
∀ᵐ x ∂(volume.restrict s), differentiable_within_at ℝ f s x :=
h.has_locally_bounded_variation_on.ae_differentiable_within_at hs
/-- A real Lipschitz function into a finite dimensional real vector space is differentiable
almost everywhere. -/
lemma lipschitz_with.ae_differentiable_at
{C : ℝ≥0} {f : ℝ → V} (h : lipschitz_with C f) :
∀ᵐ x, differentiable_at ℝ f x :=
(h.has_locally_bounded_variation_on univ).ae_differentiable_at
|
433785c988d78e10e3034026f2f4cb3cac260e55 | 6432ea7a083ff6ba21ea17af9ee47b9c371760f7 | /tests/lean/run/som1.lean | 496fe0d2e7fe022e14f4337999764ce54e370692 | [
"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 | 409 | lean | open Nat.SOM
example : (x + y) * (x + y + 1) = x * (1 + y + x) + (y + 1 + x) * y :=
let ctx := [x, y]
let lhs : Expr := .mul (.add (.var 0) (.var 1)) (.add (.add (.var 0) (.var 1)) (.num 1))
let rhs : Expr := .add (.mul (.var 0) (.add (.add (.num 1) (.var 1)) (.var 0)))
(.mul (.add (.add (.var 1) (.num 1)) (.var 0)) (.var 1))
Expr.eq_of_toPoly_eq ctx lhs rhs (Eq.refl true)
|
09714a875344f4d0890d1eb65814dee220663ad5 | 8cae430f0a71442d02dbb1cbb14073b31048e4b0 | /src/algebra/regular/basic.lean | e71fcb96d2eba0a55c99e81c6e5607acee82a179 | [
"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 | 13,609 | lean | /-
Copyright (c) 2021 Damiano Testa. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Damiano Testa
-/
import algebra.group.commute
import algebra.order.monoid.lemmas
import algebra.group_with_zero.basic
/-!
# Regular elements
> THIS FILE IS SYNCHRONIZED WITH MATHLIB4.
> Any changes to this file require a corresponding PR to mathlib4.
We introduce left-regular, right-regular and regular elements, along with their `to_additive`
analogues add-left-regular, add-right-regular and add-regular elements.
By definition, a regular element in a commutative ring is a non-zero divisor.
Lemma `is_regular_of_ne_zero` implies that every non-zero element of an integral domain is regular.
Since it assumes that the ring is a `cancel_monoid_with_zero` it applies also, for instance, to `ℕ`.
The lemmas in Section `mul_zero_class` show that the `0` element is (left/right-)regular if and
only if the `mul_zero_class` is trivial. This is useful when figuring out stopping conditions for
regular sequences: if `0` is ever an element of a regular sequence, then we can extend the sequence
by adding one further `0`.
The final goal is to develop part of the API to prove, eventually, results about non-zero-divisors.
-/
variables {R : Type*}
section has_mul
variables [has_mul R]
/-- A left-regular element is an element `c` such that multiplication on the left by `c`
is injective. -/
@[to_additive "An add-left-regular element is an element `c` such that addition on the left by `c`
is injective. -/
"]
def is_left_regular (c : R) := ((*) c).injective
/-- A right-regular element is an element `c` such that multiplication on the right by `c`
is injective. -/
@[to_additive "An add-right-regular element is an element `c` such that addition on the right by `c`
is injective."]
def is_right_regular (c : R) := (* c).injective
/-- An add-regular element is an element `c` such that addition by `c` both on the left and
on the right is injective. -/
structure is_add_regular {R : Type*} [has_add R] (c : R) : Prop :=
(left : is_add_left_regular c)
(right : is_add_right_regular c)
/-- A regular element is an element `c` such that multiplication by `c` both on the left and
on the right is injective. -/
structure is_regular (c : R) : Prop :=
(left : is_left_regular c)
(right : is_right_regular c)
attribute [to_additive] is_regular
@[to_additive]
protected lemma mul_le_cancellable.is_left_regular [partial_order R] {a : R}
(ha : mul_le_cancellable a) : is_left_regular a :=
ha.injective
lemma is_left_regular.right_of_commute {a : R} (ca : ∀ b, commute a b)
(h : is_left_regular a) : is_right_regular a :=
λ x y xy, h $ (ca x).trans $ xy.trans $ (ca y).symm
lemma commute.is_regular_iff {a : R} (ca : ∀ b, commute a b) :
is_regular a ↔ is_left_regular a :=
⟨λ h, h.left, λ h, ⟨h, h.right_of_commute ca⟩⟩
end has_mul
section semigroup
variables [semigroup R] {a b : R}
/-- In a semigroup, the product of left-regular elements is left-regular. -/
@[to_additive "In an additive semigroup, the sum of add-left-regular elements is add-left.regular."]
lemma is_left_regular.mul (lra : is_left_regular a) (lrb : is_left_regular b) :
is_left_regular (a * b) :=
show function.injective ((*) (a * b)), from (comp_mul_left a b) ▸ lra.comp lrb
/-- In a semigroup, the product of right-regular elements is right-regular. -/
@[to_additive
"In an additive semigroup, the sum of add-right-regular elements is add-right-regular."]
lemma is_right_regular.mul (rra : is_right_regular a) (rrb : is_right_regular b) :
is_right_regular (a * b) :=
show function.injective (* (a * b)), from (comp_mul_right b a) ▸ rrb.comp rra
/-- If an element `b` becomes left-regular after multiplying it on the left by a left-regular
element, then `b` is left-regular. -/
@[to_additive "If an element `b` becomes add-left-regular after adding to it on the left a
add-left-regular element, then `b` is add-left-regular."]
lemma is_left_regular.of_mul (ab : is_left_regular (a * b)) :
is_left_regular b :=
function.injective.of_comp (by rwa comp_mul_left a b)
/-- An element is left-regular if and only if multiplying it on the left by a left-regular element
is left-regular. -/
@[simp, to_additive "An element is add-left-regular if and only if adding to it on the left a
add-left-regular element is add-left-regular."]
lemma mul_is_left_regular_iff (b : R) (ha : is_left_regular a) :
is_left_regular (a * b) ↔ is_left_regular b :=
⟨λ ab, is_left_regular.of_mul ab, λ ab, is_left_regular.mul ha ab⟩
/-- If an element `b` becomes right-regular after multiplying it on the right by a right-regular
element, then `b` is right-regular. -/
@[to_additive "If an element `b` becomes add-right-regular after adding to it on the right a
add-right-regular element, then `b` is add-right-regular."]
lemma is_right_regular.of_mul (ab : is_right_regular (b * a)) :
is_right_regular b :=
begin
refine λ x y xy, ab (_ : x * (b * a) = y * (b * a)),
rw [← mul_assoc, ← mul_assoc],
exact congr_fun (congr_arg (*) xy) a,
end
/-- An element is right-regular if and only if multiplying it on the right with a right-regular
element is right-regular. -/
@[simp, to_additive "An element is add-right-regular if and only if adding it on the right to a
add-right-regular element is add-right-regular."]
lemma mul_is_right_regular_iff (b : R) (ha : is_right_regular a) :
is_right_regular (b * a) ↔ is_right_regular b :=
⟨λ ab, is_right_regular.of_mul ab, λ ab, is_right_regular.mul ab ha⟩
/-- Two elements `a` and `b` are regular if and only if both products `a * b` and `b * a`
are regular. -/
@[to_additive "Two elements `a` and `b` are add-regular if and only if both sums `a + b` and `b + a`
are add-regular."]
lemma is_regular_mul_and_mul_iff :
is_regular (a * b) ∧ is_regular (b * a) ↔ is_regular a ∧ is_regular b :=
begin
refine ⟨_, _⟩,
{ rintros ⟨ab, ba⟩,
exact ⟨⟨is_left_regular.of_mul ba.left, is_right_regular.of_mul ab.right⟩,
⟨is_left_regular.of_mul ab.left, is_right_regular.of_mul ba.right⟩⟩ },
{ rintros ⟨ha, hb⟩,
exact ⟨⟨(mul_is_left_regular_iff _ ha.left).mpr hb.left,
(mul_is_right_regular_iff _ hb.right).mpr ha.right⟩,
⟨(mul_is_left_regular_iff _ hb.left).mpr ha.left,
(mul_is_right_regular_iff _ ha.right).mpr hb.right⟩⟩ }
end
/-- The "most used" implication of `mul_and_mul_iff`, with split hypotheses, instead of `∧`. -/
@[to_additive "The \"most used\" implication of `add_and_add_iff`, with split hypotheses,
instead of `∧`."]
lemma is_regular.and_of_mul_of_mul (ab : is_regular (a * b)) (ba : is_regular (b * a)) :
is_regular a ∧ is_regular b :=
is_regular_mul_and_mul_iff.mp ⟨ab, ba⟩
end semigroup
section mul_zero_class
variables [mul_zero_class R] {a b : R}
/-- The element `0` is left-regular if and only if `R` is trivial. -/
lemma is_left_regular.subsingleton (h : is_left_regular (0 : R)) : subsingleton R :=
⟨λ a b, h $ eq.trans (zero_mul a) (zero_mul b).symm⟩
/-- The element `0` is right-regular if and only if `R` is trivial. -/
lemma is_right_regular.subsingleton (h : is_right_regular (0 : R)) : subsingleton R :=
⟨λ a b, h $ eq.trans (mul_zero a) (mul_zero b).symm⟩
/-- The element `0` is regular if and only if `R` is trivial. -/
lemma is_regular.subsingleton (h : is_regular (0 : R)) : subsingleton R :=
h.left.subsingleton
/-- The element `0` is left-regular if and only if `R` is trivial. -/
lemma is_left_regular_zero_iff_subsingleton : is_left_regular (0 : R) ↔ subsingleton R :=
⟨λ h, h.subsingleton, λ H a b h, @subsingleton.elim _ H a b⟩
/-- In a non-trivial `mul_zero_class`, the `0` element is not left-regular. -/
lemma not_is_left_regular_zero_iff : ¬ is_left_regular (0 : R) ↔ nontrivial R :=
begin
rw [nontrivial_iff, not_iff_comm, is_left_regular_zero_iff_subsingleton, subsingleton_iff],
push_neg,
exact iff.rfl
end
/-- The element `0` is right-regular if and only if `R` is trivial. -/
lemma is_right_regular_zero_iff_subsingleton : is_right_regular (0 : R) ↔ subsingleton R :=
⟨λ h, h.subsingleton, λ H a b h, @subsingleton.elim _ H a b⟩
/-- In a non-trivial `mul_zero_class`, the `0` element is not right-regular. -/
lemma not_is_right_regular_zero_iff : ¬ is_right_regular (0 : R) ↔ nontrivial R :=
begin
rw [nontrivial_iff, not_iff_comm, is_right_regular_zero_iff_subsingleton, subsingleton_iff],
push_neg,
exact iff.rfl
end
/-- The element `0` is regular if and only if `R` is trivial. -/
lemma is_regular_iff_subsingleton : is_regular (0 : R) ↔ subsingleton R :=
⟨λ h, h.left.subsingleton,
λ h, ⟨is_left_regular_zero_iff_subsingleton.mpr h, is_right_regular_zero_iff_subsingleton.mpr h⟩⟩
/-- A left-regular element of a `nontrivial` `mul_zero_class` is non-zero. -/
lemma is_left_regular.ne_zero [nontrivial R] (la : is_left_regular a) : a ≠ 0 :=
begin
rintro rfl,
rcases exists_pair_ne R with ⟨x, y, xy⟩,
refine xy (la _),
rw [zero_mul, zero_mul]
end
/-- A right-regular element of a `nontrivial` `mul_zero_class` is non-zero. -/
lemma is_right_regular.ne_zero [nontrivial R] (ra : is_right_regular a) : a ≠ 0 :=
begin
rintro rfl,
rcases exists_pair_ne R with ⟨x, y, xy⟩,
refine xy (ra (_ : x * 0 = y * 0)),
rw [mul_zero, mul_zero]
end
/-- A regular element of a `nontrivial` `mul_zero_class` is non-zero. -/
lemma is_regular.ne_zero [nontrivial R] (la : is_regular a) : a ≠ 0 :=
la.left.ne_zero
/-- In a non-trivial ring, the element `0` is not left-regular -- with typeclasses. -/
lemma not_is_left_regular_zero [nR : nontrivial R] : ¬ is_left_regular (0 : R) :=
not_is_left_regular_zero_iff.mpr nR
/-- In a non-trivial ring, the element `0` is not right-regular -- with typeclasses. -/
lemma not_is_right_regular_zero [nR : nontrivial R] : ¬ is_right_regular (0 : R) :=
not_is_right_regular_zero_iff.mpr nR
/-- In a non-trivial ring, the element `0` is not regular -- with typeclasses. -/
lemma not_is_regular_zero [nontrivial R] : ¬ is_regular (0 : R) :=
λ h, is_regular.ne_zero h rfl
end mul_zero_class
section mul_one_class
variable [mul_one_class R]
/-- If multiplying by `1` on either side is the identity, `1` is regular. -/
@[to_additive "If adding `0` on either side is the identity, `0` is regular."]
lemma is_regular_one : is_regular (1 : R) :=
⟨λ a b ab, (one_mul a).symm.trans (eq.trans ab (one_mul b)),
λ a b ab, (mul_one a).symm.trans (eq.trans ab (mul_one b))⟩
end mul_one_class
section comm_semigroup
variables [comm_semigroup R] {a b : R}
/-- A product is regular if and only if the factors are. -/
@[to_additive "A sum is add-regular if and only if the summands are."]
lemma is_regular_mul_iff : is_regular (a * b) ↔ is_regular a ∧ is_regular b :=
begin
refine iff.trans _ is_regular_mul_and_mul_iff,
refine ⟨λ ab, ⟨ab, by rwa mul_comm⟩, λ rab, rab.1⟩
end
end comm_semigroup
section monoid
variables [monoid R] {a b : R}
/-- An element admitting a left inverse is left-regular. -/
@[to_additive "An element admitting a left additive opposite is add-left-regular."]
lemma is_left_regular_of_mul_eq_one (h : b * a = 1) : is_left_regular a :=
@is_left_regular.of_mul R _ _ _ (by { rw h, exact is_regular_one.left })
/-- An element admitting a right inverse is right-regular. -/
@[to_additive "An element admitting a right additive opposite is add-right-regular."]
lemma is_right_regular_of_mul_eq_one (h : a * b = 1) : is_right_regular a :=
is_right_regular.of_mul (by { rw h, exact is_regular_one.right })
/-- If `R` is a monoid, an element in `Rˣ` is regular. -/
@[to_additive "If `R` is an additive monoid, an element in `add_units R` is add-regular."]
lemma units.is_regular (a : Rˣ) : is_regular (a : R) :=
⟨is_left_regular_of_mul_eq_one a.inv_mul, is_right_regular_of_mul_eq_one a.mul_inv⟩
/-- A unit in a monoid is regular. -/
@[to_additive "An additive unit in an additive monoid is add-regular."]
lemma is_unit.is_regular (ua : is_unit a) : is_regular a :=
begin
rcases ua with ⟨a, rfl⟩,
exact units.is_regular a,
end
end monoid
/-- Elements of a left cancel semigroup are left regular. -/
@[to_additive "Elements of an add left cancel semigroup are add-left-regular."]
lemma is_left_regular_of_left_cancel_semigroup [left_cancel_semigroup R] (g : R) :
is_left_regular g :=
mul_right_injective g
/-- Elements of a right cancel semigroup are right regular. -/
@[to_additive "Elements of an add right cancel semigroup are add-right-regular"]
lemma is_right_regular_of_right_cancel_semigroup [right_cancel_semigroup R] (g : R) :
is_right_regular g :=
mul_left_injective g
section cancel_monoid
variables [cancel_monoid R]
/-- Elements of a cancel monoid are regular. Cancel semigroups do not appear to exist. -/
@[to_additive
"Elements of an add cancel monoid are regular. Add cancel semigroups do not appear to exist."]
lemma is_regular_of_cancel_monoid (g : R) : is_regular g :=
⟨mul_right_injective g, mul_left_injective g⟩
end cancel_monoid
section cancel_monoid_with_zero
variables [cancel_monoid_with_zero R] {a : R}
/-- Non-zero elements of an integral domain are regular. -/
lemma is_regular_of_ne_zero (a0 : a ≠ 0) : is_regular a :=
⟨λ b c, (mul_right_inj' a0).mp, λ b c, (mul_left_inj' a0).mp⟩
/-- In a non-trivial integral domain, an element is regular iff it is non-zero. -/
lemma is_regular_iff_ne_zero [nontrivial R] : is_regular a ↔ a ≠ 0 :=
⟨is_regular.ne_zero, is_regular_of_ne_zero⟩
end cancel_monoid_with_zero
|
197aa57d4489489f7404c02d1fa7effd645375b7 | 8d65764a9e5f0923a67fc435eb1a5a1d02fd80e3 | /src/measure_theory/function/lp_space.lean | 4debb965e9664523ad5230549e56c208b3bcd7a3 | [
"Apache-2.0"
] | permissive | troyjlee/mathlib | e18d4b8026e32062ab9e89bc3b003a5d1cfec3f5 | 45e7eb8447555247246e3fe91c87066506c14875 | refs/heads/master | 1,689,248,035,046 | 1,629,470,528,000 | 1,629,470,528,000 | null | 0 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 98,980 | lean | /-
Copyright (c) 2020 Rémy Degenne. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Rémy Degenne, Sébastien Gouëzel
-/
import analysis.normed_space.indicator_function
import analysis.normed_space.normed_group_hom
import measure_theory.function.ess_sup
import measure_theory.function.ae_eq_fun
import measure_theory.integral.mean_inequalities
import topology.continuous_function.compact
/-!
# ℒp space and Lp space
This file describes properties of almost everywhere measurable functions with finite seminorm,
denoted by `snorm f p μ` and defined for `p:ℝ≥0∞` as `0` if `p=0`, `(∫ ∥f a∥^p ∂μ) ^ (1/p)` for
`0 < p < ∞` and `ess_sup ∥f∥ μ` for `p=∞`.
The Prop-valued `mem_ℒp f p μ` states that a function `f : α → E` has finite seminorm.
The space `Lp E p μ` is the subtype of elements of `α →ₘ[μ] E` (see ae_eq_fun) such that
`snorm f p μ` is finite. For `1 ≤ p`, `snorm` defines a norm and `Lp` is a complete metric space.
## Main definitions
* `snorm' f p μ` : `(∫ ∥f a∥^p ∂μ) ^ (1/p)` for `f : α → F` and `p : ℝ`, where `α` is a measurable
space and `F` is a normed group.
* `snorm_ess_sup f μ` : seminorm in `ℒ∞`, equal to the essential supremum `ess_sup ∥f∥ μ`.
* `snorm f p μ` : for `p : ℝ≥0∞`, seminorm in `ℒp`, equal to `0` for `p=0`, to `snorm' f p μ`
for `0 < p < ∞` and to `snorm_ess_sup f μ` for `p = ∞`.
* `mem_ℒp f p μ` : property that the function `f` is almost everywhere measurable and has finite
p-seminorm for measure `μ` (`snorm f p μ < ∞`)
* `Lp E p μ` : elements of `α →ₘ[μ] E` (see ae_eq_fun) such that `snorm f p μ` is finite. Defined
as an `add_subgroup` of `α →ₘ[μ] E`.
Lipschitz functions vanishing at zero act by composition on `Lp`. We define this action, and prove
that it is continuous. In particular,
* `continuous_linear_map.comp_Lp` defines the action on `Lp` of a continuous linear map.
* `Lp.pos_part` is the positive part of an `Lp` function.
* `Lp.neg_part` is the negative part of an `Lp` function.
When `α` is a topological space equipped with a finite Borel measure, there is a bounded linear map
from the normed space of bounded continuous functions (`α →ᵇ E`) to `Lp E p μ`. We construct this
as `bounded_continuous_function.to_Lp`.
## Notations
* `α →₁[μ] E` : the type `Lp E 1 μ`.
* `α →₂[μ] E` : the type `Lp E 2 μ`.
## Implementation
Since `Lp` is defined as an `add_subgroup`, dot notation does not work. Use `Lp.measurable f` to
say that the coercion of `f` to a genuine function is measurable, instead of the non-working
`f.measurable`.
To prove that two `Lp` elements are equal, it suffices to show that their coercions to functions
coincide almost everywhere (this is registered as an `ext` rule). This can often be done using
`filter_upwards`. For instance, a proof from first principles that `f + (g + h) = (f + g) + h`
could read (in the `Lp` namespace)
```
example (f g h : Lp E p μ) : (f + g) + h = f + (g + h) :=
begin
ext1,
filter_upwards [coe_fn_add (f + g) h, coe_fn_add f g, coe_fn_add f (g + h), coe_fn_add g h],
assume a ha1 ha2 ha3 ha4,
simp only [ha1, ha2, ha3, ha4, add_assoc],
end
```
The lemma `coe_fn_add` states that the coercion of `f + g` coincides almost everywhere with the sum
of the coercions of `f` and `g`. All such lemmas use `coe_fn` in their name, to distinguish the
function coercion from the coercion to almost everywhere defined functions.
-/
noncomputable theory
open topological_space measure_theory filter
open_locale nnreal ennreal big_operators topological_space
lemma fact_one_le_one_ennreal : fact ((1 : ℝ≥0∞) ≤ 1) := ⟨le_refl _⟩
lemma fact_one_le_two_ennreal : fact ((1 : ℝ≥0∞) ≤ 2) :=
⟨ennreal.coe_le_coe.2 (show (1 : ℝ≥0) ≤ 2, by norm_num)⟩
lemma fact_one_le_top_ennreal : fact ((1 : ℝ≥0∞) ≤ ∞) := ⟨le_top⟩
local attribute [instance] fact_one_le_one_ennreal fact_one_le_two_ennreal fact_one_le_top_ennreal
variables {α E F G : Type*} {m m0 : measurable_space α} {p : ℝ≥0∞} {q : ℝ} {μ ν : measure α}
[measurable_space E] [normed_group E]
[normed_group F] [normed_group G]
namespace measure_theory
section ℒp
/-!
### ℒp seminorm
We define the ℒp seminorm, denoted by `snorm f p μ`. For real `p`, it is given by an integral
formula (for which we use the notation `snorm' f p μ`), and for `p = ∞` it is the essential
supremum (for which we use the notation `snorm_ess_sup f μ`).
We also define a predicate `mem_ℒp f p μ`, requesting that a function is almost everywhere
measurable and has finite `snorm f p μ`.
This paragraph is devoted to the basic properties of these definitions. It is constructed as
follows: for a given property, we prove it for `snorm'` and `snorm_ess_sup` when it makes sense,
deduce it for `snorm`, and translate it in terms of `mem_ℒp`.
-/
section ℒp_space_definition
/-- `(∫ ∥f a∥^q ∂μ) ^ (1/q)`, which is a seminorm on the space of measurable functions for which
this quantity is finite -/
def snorm' {m : measurable_space α} (f : α → F) (q : ℝ) (μ : measure α) : ℝ≥0∞ :=
(∫⁻ a, (nnnorm (f a))^q ∂μ) ^ (1/q)
/-- seminorm for `ℒ∞`, equal to the essential supremum of `∥f∥`. -/
def snorm_ess_sup {m : measurable_space α} (f : α → F) (μ : measure α) :=
ess_sup (λ x, (nnnorm (f x) : ℝ≥0∞)) μ
/-- `ℒp` seminorm, equal to `0` for `p=0`, to `(∫ ∥f a∥^p ∂μ) ^ (1/p)` for `0 < p < ∞` and to
`ess_sup ∥f∥ μ` for `p = ∞`. -/
def snorm {m : measurable_space α} (f : α → F) (p : ℝ≥0∞) (μ : measure α) : ℝ≥0∞ :=
if p = 0 then 0 else (if p = ∞ then snorm_ess_sup f μ else snorm' f (ennreal.to_real p) μ)
lemma snorm_eq_snorm' (hp_ne_zero : p ≠ 0) (hp_ne_top : p ≠ ∞) {f : α → F} :
snorm f p μ = snorm' f (ennreal.to_real p) μ :=
by simp [snorm, hp_ne_zero, hp_ne_top]
lemma snorm_eq_lintegral_rpow_nnnorm (hp_ne_zero : p ≠ 0) (hp_ne_top : p ≠ ∞) {f : α → F} :
snorm f p μ = (∫⁻ x, (nnnorm (f x)) ^ p.to_real ∂μ) ^ (1 / p.to_real) :=
by rw [snorm_eq_snorm' hp_ne_zero hp_ne_top, snorm']
lemma snorm_one_eq_lintegral_nnnorm {f : α → F} : snorm f 1 μ = ∫⁻ x, nnnorm (f x) ∂μ :=
by simp_rw [snorm_eq_lintegral_rpow_nnnorm one_ne_zero ennreal.coe_ne_top, ennreal.one_to_real,
one_div_one, ennreal.rpow_one]
@[simp] lemma snorm_exponent_top {f : α → F} : snorm f ∞ μ = snorm_ess_sup f μ := by simp [snorm]
/-- The property that `f:α→E` is ae_measurable and `(∫ ∥f a∥^p ∂μ)^(1/p)` is finite if `p < ∞`, or
`ess_sup f < ∞` if `p = ∞`. -/
def mem_ℒp {α} {m : measurable_space α} (f : α → E) (p : ℝ≥0∞) (μ : measure α) : Prop :=
ae_measurable f μ ∧ snorm f p μ < ∞
lemma mem_ℒp.ae_measurable {f : α → E} {p : ℝ≥0∞} (h : mem_ℒp f p μ) : ae_measurable f μ := h.1
lemma lintegral_rpow_nnnorm_eq_rpow_snorm' {f : α → F} (hq0_lt : 0 < q) :
∫⁻ a, (nnnorm (f a)) ^ q ∂μ = (snorm' f q μ) ^ q :=
begin
rw [snorm', ←ennreal.rpow_mul, one_div, inv_mul_cancel, ennreal.rpow_one],
exact (ne_of_lt hq0_lt).symm,
end
end ℒp_space_definition
section top
lemma mem_ℒp.snorm_lt_top {f : α → E} (hfp : mem_ℒp f p μ) : snorm f p μ < ∞ := hfp.2
lemma mem_ℒp.snorm_ne_top {f : α → E} (hfp : mem_ℒp f p μ) : snorm f p μ ≠ ∞ := ne_of_lt (hfp.2)
lemma lintegral_rpow_nnnorm_lt_top_of_snorm'_lt_top {f : α → F} (hq0_lt : 0 < q)
(hfq : snorm' f q μ < ∞) :
∫⁻ a, (nnnorm (f a)) ^ q ∂μ < ∞ :=
begin
rw lintegral_rpow_nnnorm_eq_rpow_snorm' hq0_lt,
exact ennreal.rpow_lt_top_of_nonneg (le_of_lt hq0_lt) (ne_of_lt hfq),
end
lemma lintegral_rpow_nnnorm_lt_top_of_snorm_lt_top {f : α → F} (hp_ne_zero : p ≠ 0)
(hp_ne_top : p ≠ ∞) (hfp : snorm f p μ < ∞) :
∫⁻ a, (nnnorm (f a)) ^ p.to_real ∂μ < ∞ :=
begin
apply lintegral_rpow_nnnorm_lt_top_of_snorm'_lt_top,
{ exact ennreal.to_real_pos_iff.mpr ⟨bot_lt_iff_ne_bot.mpr hp_ne_zero, hp_ne_top⟩ },
{ simpa [snorm_eq_snorm' hp_ne_zero hp_ne_top] using hfp }
end
lemma snorm_lt_top_iff_lintegral_rpow_nnnorm_lt_top {f : α → F} (hp_ne_zero : p ≠ 0)
(hp_ne_top : p ≠ ∞) :
snorm f p μ < ∞ ↔ ∫⁻ a, (nnnorm (f a)) ^ p.to_real ∂μ < ∞ :=
⟨lintegral_rpow_nnnorm_lt_top_of_snorm_lt_top hp_ne_zero hp_ne_top,
begin
intros h,
have hp' := ennreal.to_real_pos_iff.mpr ⟨bot_lt_iff_ne_bot.mpr hp_ne_zero, hp_ne_top⟩,
have : 0 < 1 / p.to_real := div_pos zero_lt_one hp',
simpa [snorm_eq_lintegral_rpow_nnnorm hp_ne_zero hp_ne_top] using
ennreal.rpow_lt_top_of_nonneg (le_of_lt this) (ne_of_lt h)
end⟩
end top
section zero
@[simp] lemma snorm'_exponent_zero {f : α → F} : snorm' f 0 μ = 1 :=
by rw [snorm', div_zero, ennreal.rpow_zero]
@[simp] lemma snorm_exponent_zero {f : α → F} : snorm f 0 μ = 0 :=
by simp [snorm]
lemma mem_ℒp_zero_iff_ae_measurable {f : α → E} : mem_ℒp f 0 μ ↔ ae_measurable f μ :=
by simp [mem_ℒp, snorm_exponent_zero]
@[simp] lemma snorm'_zero (hp0_lt : 0 < q) : snorm' (0 : α → F) q μ = 0 :=
by simp [snorm', hp0_lt]
@[simp] lemma snorm'_zero' (hq0_ne : q ≠ 0) (hμ : μ ≠ 0) : snorm' (0 : α → F) q μ = 0 :=
begin
cases le_or_lt 0 q with hq0 hq_neg,
{ exact snorm'_zero (lt_of_le_of_ne hq0 hq0_ne.symm), },
{ simp [snorm', ennreal.rpow_eq_zero_iff, hμ, hq_neg], },
end
@[simp] lemma snorm_ess_sup_zero : snorm_ess_sup (0 : α → F) μ = 0 :=
begin
simp_rw [snorm_ess_sup, pi.zero_apply, nnnorm_zero, ennreal.coe_zero, ←ennreal.bot_eq_zero],
exact ess_sup_const_bot,
end
@[simp] lemma snorm_zero : snorm (0 : α → F) p μ = 0 :=
begin
by_cases h0 : p = 0,
{ simp [h0], },
by_cases h_top : p = ∞,
{ simp only [h_top, snorm_exponent_top, snorm_ess_sup_zero], },
rw ←ne.def at h0,
simp [snorm_eq_snorm' h0 h_top,
ennreal.to_real_pos_iff.mpr ⟨lt_of_le_of_ne (zero_le _) h0.symm, h_top⟩],
end
lemma zero_mem_ℒp : mem_ℒp (0 : α → E) p μ :=
⟨measurable_zero.ae_measurable, by { rw snorm_zero, exact ennreal.coe_lt_top, } ⟩
variables [measurable_space α]
lemma snorm'_measure_zero_of_pos {f : α → F} (hq_pos : 0 < q) :
snorm' f q (0 : measure α) = 0 :=
by simp [snorm', hq_pos]
lemma snorm'_measure_zero_of_exponent_zero {f : α → F} : snorm' f 0 (0 : measure α) = 1 :=
by simp [snorm']
lemma snorm'_measure_zero_of_neg {f : α → F} (hq_neg : q < 0) : snorm' f q (0 : measure α) = ∞ :=
by simp [snorm', hq_neg]
@[simp] lemma snorm_ess_sup_measure_zero {f : α → F} : snorm_ess_sup f (0 : measure α) = 0 :=
by simp [snorm_ess_sup]
@[simp] lemma snorm_measure_zero {f : α → F} : snorm f p (0 : measure α) = 0 :=
begin
by_cases h0 : p = 0,
{ simp [h0], },
by_cases h_top : p = ∞,
{ simp [h_top], },
rw ←ne.def at h0,
simp [snorm_eq_snorm' h0 h_top, snorm',
ennreal.to_real_pos_iff.mpr ⟨lt_of_le_of_ne (zero_le _) h0.symm, h_top⟩],
end
end zero
section const
lemma snorm'_const (c : F) (hq_pos : 0 < q) :
snorm' (λ x : α , c) q μ = (nnnorm c : ℝ≥0∞) * (μ set.univ) ^ (1/q) :=
begin
rw [snorm', lintegral_const, ennreal.mul_rpow_of_nonneg _ _ (by simp [hq_pos.le] : 0 ≤ 1 / q)],
congr,
rw ←ennreal.rpow_mul,
suffices hq_cancel : q * (1/q) = 1, by rw [hq_cancel, ennreal.rpow_one],
rw [one_div, mul_inv_cancel (ne_of_lt hq_pos).symm],
end
lemma snorm'_const' [finite_measure μ] (c : F) (hc_ne_zero : c ≠ 0) (hq_ne_zero : q ≠ 0) :
snorm' (λ x : α , c) q μ = (nnnorm c : ℝ≥0∞) * (μ set.univ) ^ (1/q) :=
begin
rw [snorm', lintegral_const, ennreal.mul_rpow_of_ne_top _ (measure_ne_top μ set.univ)],
{ congr,
rw ←ennreal.rpow_mul,
suffices hp_cancel : q * (1/q) = 1, by rw [hp_cancel, ennreal.rpow_one],
rw [one_div, mul_inv_cancel hq_ne_zero], },
{ rw [ne.def, ennreal.rpow_eq_top_iff, auto.not_or_eq, auto.not_and_eq, auto.not_and_eq],
split,
{ left,
rwa [ennreal.coe_eq_zero, nnnorm_eq_zero], },
{ exact or.inl ennreal.coe_ne_top, }, },
end
lemma snorm_ess_sup_const (c : F) (hμ : μ ≠ 0) :
snorm_ess_sup (λ x : α, c) μ = (nnnorm c : ℝ≥0∞) :=
by rw [snorm_ess_sup, ess_sup_const _ hμ]
lemma snorm'_const_of_probability_measure (c : F) (hq_pos : 0 < q) [probability_measure μ] :
snorm' (λ x : α , c) q μ = (nnnorm c : ℝ≥0∞) :=
by simp [snorm'_const c hq_pos, measure_univ]
lemma snorm_const (c : F) (h0 : p ≠ 0) (hμ : μ ≠ 0) :
snorm (λ x : α , c) p μ = (nnnorm c : ℝ≥0∞) * (μ set.univ) ^ (1/(ennreal.to_real p)) :=
begin
by_cases h_top : p = ∞,
{ simp [h_top, snorm_ess_sup_const c hμ], },
simp [snorm_eq_snorm' h0 h_top, snorm'_const,
ennreal.to_real_pos_iff.mpr ⟨lt_of_le_of_ne (zero_le _) h0.symm, h_top⟩],
end
lemma snorm_const' (c : F) (h0 : p ≠ 0) (h_top: p ≠ ∞) :
snorm (λ x : α , c) p μ = (nnnorm c : ℝ≥0∞) * (μ set.univ) ^ (1/(ennreal.to_real p)) :=
begin
simp [snorm_eq_snorm' h0 h_top, snorm'_const,
ennreal.to_real_pos_iff.mpr ⟨lt_of_le_of_ne (zero_le _) h0.symm, h_top⟩],
end
lemma mem_ℒp_const (c : E) [finite_measure μ] : mem_ℒp (λ a:α, c) p μ :=
begin
refine ⟨measurable_const.ae_measurable, _⟩,
by_cases h0 : p = 0,
{ simp [h0], },
by_cases hμ : μ = 0,
{ simp [hμ], },
rw snorm_const c h0 hμ,
refine ennreal.mul_lt_top ennreal.coe_lt_top _,
refine ennreal.rpow_lt_top_of_nonneg _ (measure_ne_top μ set.univ),
simp,
end
end const
lemma snorm'_mono_ae {f : α → F} {g : α → G} (hq : 0 ≤ q) (h : ∀ᵐ x ∂μ, ∥f x∥ ≤ ∥g x∥) :
snorm' f q μ ≤ snorm' g q μ :=
begin
rw [snorm'],
refine ennreal.rpow_le_rpow _ (one_div_nonneg.2 hq),
refine lintegral_mono_ae (h.mono $ λ x hx, _),
exact ennreal.rpow_le_rpow (ennreal.coe_le_coe.2 hx) hq
end
lemma snorm'_congr_norm_ae {f g : α → F} (hfg : ∀ᵐ x ∂μ, ∥f x∥ = ∥g x∥) :
snorm' f q μ = snorm' g q μ :=
begin
have : (λ x, (nnnorm (f x) ^ q : ℝ≥0∞)) =ᵐ[μ] (λ x, nnnorm (g x) ^ q),
from hfg.mono (λ x hx, by { simp only [← coe_nnnorm, nnreal.coe_eq] at hx, simp [hx] }),
simp only [snorm', lintegral_congr_ae this]
end
lemma snorm'_congr_ae {f g : α → F} (hfg : f =ᵐ[μ] g) : snorm' f q μ = snorm' g q μ :=
snorm'_congr_norm_ae (hfg.fun_comp _)
lemma snorm_ess_sup_congr_ae {f g : α → F} (hfg : f =ᵐ[μ] g) :
snorm_ess_sup f μ = snorm_ess_sup g μ :=
ess_sup_congr_ae (hfg.fun_comp (coe ∘ nnnorm))
lemma snorm_mono_ae {f : α → F} {g : α → G} (h : ∀ᵐ x ∂μ, ∥f x∥ ≤ ∥g x∥) :
snorm f p μ ≤ snorm g p μ :=
begin
simp only [snorm],
split_ifs,
{ exact le_rfl },
{ refine ess_sup_mono_ae (h.mono $ λ x hx, _),
exact_mod_cast hx },
{ exact snorm'_mono_ae ennreal.to_real_nonneg h }
end
lemma snorm_ess_sup_le_of_ae_bound {f : α → F} {C : ℝ} (hfC : ∀ᵐ x ∂μ, ∥f x∥ ≤ C) :
snorm_ess_sup f μ ≤ ennreal.of_real C:=
begin
simp_rw [snorm_ess_sup, ← of_real_norm_eq_coe_nnnorm],
refine ess_sup_le_of_ae_le (ennreal.of_real C) (hfC.mono (λ x hx, _)),
exact ennreal.of_real_le_of_real hx,
end
lemma snorm_ess_sup_lt_top_of_ae_bound {f : α → F} {C : ℝ} (hfC : ∀ᵐ x ∂μ, ∥f x∥ ≤ C) :
snorm_ess_sup f μ < ∞ :=
(snorm_ess_sup_le_of_ae_bound hfC).trans_lt ennreal.of_real_lt_top
lemma snorm_le_of_ae_bound {f : α → F} {C : ℝ} (hfC : ∀ᵐ x ∂μ, ∥f x∥ ≤ C) :
snorm f p μ ≤ ((μ set.univ) ^ p.to_real⁻¹) * (ennreal.of_real C) :=
begin
by_cases hμ : μ = 0,
{ simp [hμ] },
haveI : μ.ae.ne_bot := ae_ne_bot.mpr hμ,
by_cases hp : p = 0,
{ simp [hp] },
have hC : 0 ≤ C, from le_trans (norm_nonneg _) hfC.exists.some_spec,
have hC' : ∥C∥ = C := by rw [real.norm_eq_abs, abs_eq_self.mpr hC],
have : ∀ᵐ x ∂μ, ∥f x∥ ≤ ∥(λ _, C) x∥, from hfC.mono (λ x hx, hx.trans (le_of_eq hC'.symm)),
convert snorm_mono_ae this,
rw [snorm_const _ hp hμ, mul_comm, ← of_real_norm_eq_coe_nnnorm, hC', one_div]
end
lemma snorm_congr_norm_ae {f : α → F} {g : α → G} (hfg : ∀ᵐ x ∂μ, ∥f x∥ = ∥g x∥) :
snorm f p μ = snorm g p μ :=
le_antisymm (snorm_mono_ae $ eventually_eq.le hfg)
(snorm_mono_ae $ (eventually_eq.symm hfg).le)
@[simp] lemma snorm'_norm {f : α → F} : snorm' (λ a, ∥f a∥) q μ = snorm' f q μ :=
by simp [snorm']
@[simp] lemma snorm_norm (f : α → F) : snorm (λ x, ∥f x∥) p μ = snorm f p μ :=
snorm_congr_norm_ae $ eventually_of_forall $ λ x, norm_norm _
lemma snorm'_norm_rpow (f : α → F) (p q : ℝ) (hq_pos : 0 < q) :
snorm' (λ x, ∥f x∥ ^ q) p μ = (snorm' f (p * q) μ) ^ q :=
begin
simp_rw snorm',
rw [← ennreal.rpow_mul, ←one_div_mul_one_div],
simp_rw one_div,
rw [mul_assoc, inv_mul_cancel hq_pos.ne.symm, mul_one],
congr,
ext1 x,
simp_rw ← of_real_norm_eq_coe_nnnorm,
rw [real.norm_eq_abs, abs_eq_self.mpr (real.rpow_nonneg_of_nonneg (norm_nonneg _) _),
mul_comm, ← ennreal.of_real_rpow_of_nonneg (norm_nonneg _) hq_pos.le, ennreal.rpow_mul],
end
lemma snorm_norm_rpow (f : α → F) (hq_pos : 0 < q) :
snorm (λ x, ∥f x∥ ^ q) p μ = (snorm f (p * ennreal.of_real q) μ) ^ q :=
begin
by_cases h0 : p = 0,
{ simp [h0, ennreal.zero_rpow_of_pos hq_pos], },
by_cases hp_top : p = ∞,
{ simp only [hp_top, snorm_exponent_top, ennreal.top_mul, hq_pos.not_le, ennreal.of_real_eq_zero,
if_false, snorm_exponent_top, snorm_ess_sup],
have h_rpow : ess_sup (λ (x : α), (nnnorm (∥f x∥ ^ q) : ℝ≥0∞)) μ
= ess_sup (λ (x : α), (↑(nnnorm (f x))) ^ q) μ,
{ congr,
ext1 x,
nth_rewrite 1 ← nnnorm_norm,
rw [ennreal.coe_rpow_of_nonneg _ hq_pos.le, ennreal.coe_eq_coe],
ext,
push_cast,
rw real.norm_rpow_of_nonneg (norm_nonneg _), },
rw h_rpow,
have h_rpow_mono := ennreal.rpow_left_strict_mono_of_pos hq_pos,
have h_rpow_surj := (ennreal.rpow_left_bijective hq_pos.ne.symm).2,
let iso := h_rpow_mono.order_iso_of_surjective _ h_rpow_surj,
exact (iso.ess_sup_apply (λ x, ((nnnorm (f x)) : ℝ≥0∞)) μ).symm, },
rw [snorm_eq_snorm' h0 hp_top, snorm_eq_snorm' _ _],
swap, { refine mul_ne_zero h0 _, rwa [ne.def, ennreal.of_real_eq_zero, not_le], },
swap, { exact ennreal.mul_ne_top hp_top ennreal.of_real_ne_top, },
rw [ennreal.to_real_mul, ennreal.to_real_of_real hq_pos.le],
exact snorm'_norm_rpow f p.to_real q hq_pos,
end
lemma snorm_congr_ae {f g : α → F} (hfg : f =ᵐ[μ] g) : snorm f p μ = snorm g p μ :=
snorm_congr_norm_ae $ hfg.mono (λ x hx, hx ▸ rfl)
lemma mem_ℒp_congr_ae {f g : α → E} (hfg : f =ᵐ[μ] g) : mem_ℒp f p μ ↔ mem_ℒp g p μ :=
by simp only [mem_ℒp, snorm_congr_ae hfg, ae_measurable_congr hfg]
lemma mem_ℒp.ae_eq {f g : α → E} (hfg : f =ᵐ[μ] g) (hf_Lp : mem_ℒp f p μ) : mem_ℒp g p μ :=
(mem_ℒp_congr_ae hfg).1 hf_Lp
lemma mem_ℒp.of_le [measurable_space F] {f : α → E} {g : α → F}
(hg : mem_ℒp g p μ) (hf : ae_measurable f μ) (hfg : ∀ᵐ x ∂μ, ∥f x∥ ≤ ∥g x∥) : mem_ℒp f p μ :=
⟨hf, (snorm_mono_ae hfg).trans_lt hg.snorm_lt_top⟩
lemma mem_ℒp_top_of_bound {f : α → E} (hf : ae_measurable f μ) (C : ℝ)
(hfC : ∀ᵐ x ∂μ, ∥f x∥ ≤ C) :
mem_ℒp f ∞ μ :=
⟨hf, by { rw snorm_exponent_top, exact snorm_ess_sup_lt_top_of_ae_bound hfC, }⟩
lemma mem_ℒp.of_bound [finite_measure μ] {f : α → E} (hf : ae_measurable f μ)
(C : ℝ) (hfC : ∀ᵐ x ∂μ, ∥f x∥ ≤ C) :
mem_ℒp f p μ :=
(mem_ℒp_const C).of_le hf (hfC.mono (λ x hx, le_trans hx (le_abs_self _)))
@[mono] lemma snorm'_mono_measure (f : α → F) (hμν : ν ≤ μ) (hq : 0 ≤ q) :
snorm' f q ν ≤ snorm' f q μ :=
begin
simp_rw snorm',
suffices h_integral_mono : (∫⁻ a, (nnnorm (f a) : ℝ≥0∞) ^ q ∂ν) ≤ ∫⁻ a, (nnnorm (f a)) ^ q ∂μ,
from ennreal.rpow_le_rpow h_integral_mono (by simp [hq]),
exact lintegral_mono' hμν le_rfl,
end
@[mono] lemma snorm_ess_sup_mono_measure (f : α → F) (hμν : ν ≪ μ) :
snorm_ess_sup f ν ≤ snorm_ess_sup f μ :=
by { simp_rw snorm_ess_sup, exact ess_sup_mono_measure hμν, }
@[mono] lemma snorm_mono_measure (f : α → F) (hμν : ν ≤ μ) :
snorm f p ν ≤ snorm f p μ :=
begin
by_cases hp0 : p = 0,
{ simp [hp0], },
by_cases hp_top : p = ∞,
{ simp [hp_top, snorm_ess_sup_mono_measure f (measure.absolutely_continuous_of_le hμν)], },
simp_rw snorm_eq_snorm' hp0 hp_top,
exact snorm'_mono_measure f hμν ennreal.to_real_nonneg,
end
lemma mem_ℒp.mono_measure {f : α → E} (hμν : ν ≤ μ) (hf : mem_ℒp f p μ) :
mem_ℒp f p ν :=
⟨hf.1.mono_measure hμν, (snorm_mono_measure f hμν).trans_lt hf.2⟩
lemma mem_ℒp.restrict (s : set α) {f : α → E} (hf : mem_ℒp f p μ) :
mem_ℒp f p (μ.restrict s) :=
hf.mono_measure measure.restrict_le_self
section opens_measurable_space
variable [opens_measurable_space E]
lemma mem_ℒp.norm {f : α → E} (h : mem_ℒp f p μ) : mem_ℒp (λ x, ∥f x∥) p μ :=
h.of_le h.ae_measurable.norm (eventually_of_forall (λ x, by simp))
lemma snorm'_eq_zero_of_ae_zero {f : α → F} (hq0_lt : 0 < q) (hf_zero : f =ᵐ[μ] 0) :
snorm' f q μ = 0 :=
by rw [snorm'_congr_ae hf_zero, snorm'_zero hq0_lt]
lemma snorm'_eq_zero_of_ae_zero' (hq0_ne : q ≠ 0) (hμ : μ ≠ 0) {f : α → F} (hf_zero : f =ᵐ[μ] 0) :
snorm' f q μ = 0 :=
by rw [snorm'_congr_ae hf_zero, snorm'_zero' hq0_ne hμ]
lemma ae_eq_zero_of_snorm'_eq_zero {f : α → E} (hq0 : 0 ≤ q) (hf : ae_measurable f μ)
(h : snorm' f q μ = 0) : f =ᵐ[μ] 0 :=
begin
rw [snorm', ennreal.rpow_eq_zero_iff] at h,
cases h,
{ rw lintegral_eq_zero_iff' (hf.ennnorm.pow_const q) at h,
refine h.left.mono (λ x hx, _),
rw [pi.zero_apply, ennreal.rpow_eq_zero_iff] at hx,
cases hx,
{ cases hx with hx _,
rwa [←ennreal.coe_zero, ennreal.coe_eq_coe, nnnorm_eq_zero] at hx, },
{ exact absurd hx.left ennreal.coe_ne_top, }, },
{ exfalso,
rw [one_div, inv_lt_zero] at h,
exact hq0.not_lt h.right },
end
lemma snorm'_eq_zero_iff (hq0_lt : 0 < q) {f : α → E} (hf : ae_measurable f μ) :
snorm' f q μ = 0 ↔ f =ᵐ[μ] 0 :=
⟨ae_eq_zero_of_snorm'_eq_zero (le_of_lt hq0_lt) hf, snorm'_eq_zero_of_ae_zero hq0_lt⟩
lemma coe_nnnorm_ae_le_snorm_ess_sup {m : measurable_space α} (f : α → F) (μ : measure α) :
∀ᵐ x ∂μ, (nnnorm (f x) : ℝ≥0∞) ≤ snorm_ess_sup f μ :=
ennreal.ae_le_ess_sup (λ x, (nnnorm (f x) : ℝ≥0∞))
@[simp] lemma snorm_ess_sup_eq_zero_iff {f : α → F} : snorm_ess_sup f μ = 0 ↔ f =ᵐ[μ] 0 :=
by simp [eventually_eq, snorm_ess_sup]
lemma snorm_eq_zero_iff {f : α → E} (hf : ae_measurable f μ) (h0 : p ≠ 0) :
snorm f p μ = 0 ↔ f =ᵐ[μ] 0 :=
begin
by_cases h_top : p = ∞,
{ rw [h_top, snorm_exponent_top, snorm_ess_sup_eq_zero_iff], },
rw snorm_eq_snorm' h0 h_top,
exact snorm'_eq_zero_iff
(ennreal.to_real_pos_iff.mpr ⟨lt_of_le_of_ne (zero_le _) h0.symm, h_top⟩) hf,
end
section trim
lemma snorm'_trim (hm : m ≤ m0) {f : α → E} (hf : @measurable _ _ m _ f) :
snorm' f q (ν.trim hm) = snorm' f q ν :=
begin
simp_rw snorm',
congr' 1,
refine lintegral_trim hm _,
refine @measurable.pow_const _ _ _ _ _ _ _ m _ (@measurable.coe_nnreal_ennreal _ m _ _) _,
exact @measurable.nnnorm E _ _ _ _ m _ hf,
end
lemma limsup_trim (hm : m ≤ m0) {f : α → ℝ≥0∞} (hf : @measurable _ _ m _ f) :
(ν.trim hm).ae.limsup f = ν.ae.limsup f :=
begin
simp_rw limsup_eq,
suffices h_set_eq : {a : ℝ≥0∞ | ∀ᵐ n ∂(ν.trim hm), f n ≤ a} = {a : ℝ≥0∞ | ∀ᵐ n ∂ν, f n ≤ a},
by rw h_set_eq,
ext1 a,
suffices h_meas_eq : ν {x | ¬ f x ≤ a} = ν.trim hm {x | ¬ f x ≤ a},
by simp_rw [set.mem_set_of_eq, ae_iff, h_meas_eq],
refine (trim_measurable_set_eq hm _).symm,
refine @measurable_set.compl _ _ m (@measurable_set_le ℝ≥0∞ _ _ _ _ m _ _ _ _ _ hf _),
exact @measurable_const _ _ _ m _,
end
lemma ess_sup_trim (hm : m ≤ m0) {f : α → ℝ≥0∞} (hf : @measurable _ _ m _ f) :
ess_sup f (ν.trim hm) = ess_sup f ν :=
by { simp_rw ess_sup, exact limsup_trim hm hf, }
lemma snorm_ess_sup_trim (hm : m ≤ m0) {f : α → E} (hf : @measurable _ _ m _ f) :
snorm_ess_sup f (ν.trim hm) = snorm_ess_sup f ν :=
ess_sup_trim hm (@measurable.coe_nnreal_ennreal _ m _ (@measurable.nnnorm E _ _ _ _ m _ hf))
lemma snorm_trim (hm : m ≤ m0) {f : α → E} (hf : @measurable _ _ m _ f) :
snorm f p (ν.trim hm) = snorm f p ν :=
begin
by_cases h0 : p = 0,
{ simp [h0], },
by_cases h_top : p = ∞,
{ simpa only [h_top, snorm_exponent_top] using snorm_ess_sup_trim hm hf, },
simpa only [snorm_eq_snorm' h0 h_top] using snorm'_trim hm hf,
end
lemma snorm_trim_ae (hm : m ≤ m0) {f : α → E} (hf : ae_measurable f (ν.trim hm)) :
snorm f p (ν.trim hm) = snorm f p ν :=
begin
rw [snorm_congr_ae hf.ae_eq_mk, snorm_congr_ae (ae_eq_of_ae_eq_trim hf.ae_eq_mk)],
exact snorm_trim hm hf.measurable_mk,
end
lemma mem_ℒp_of_mem_ℒp_trim (hm : m ≤ m0) {f : α → E} (hf : mem_ℒp f p (ν.trim hm)) :
mem_ℒp f p ν :=
⟨ae_measurable_of_ae_measurable_trim hm hf.1, (le_of_eq (snorm_trim_ae hm hf.1).symm).trans_lt hf.2⟩
end trim
end opens_measurable_space
@[simp] lemma snorm'_neg {f : α → F} : snorm' (-f) q μ = snorm' f q μ := by simp [snorm']
@[simp] lemma snorm_neg {f : α → F} : snorm (-f) p μ = snorm f p μ :=
begin
by_cases h0 : p = 0,
{ simp [h0], },
by_cases h_top : p = ∞,
{ simp [h_top, snorm_ess_sup], },
simp [snorm_eq_snorm' h0 h_top],
end
section borel_space
variable [borel_space E]
lemma mem_ℒp.neg {f : α → E} (hf : mem_ℒp f p μ) : mem_ℒp (-f) p μ :=
⟨ae_measurable.neg hf.1, by simp [hf.right]⟩
lemma snorm'_le_snorm'_mul_rpow_measure_univ {p q : ℝ} (hp0_lt : 0 < p) (hpq : p ≤ q)
{f : α → E} (hf : ae_measurable f μ) :
snorm' f p μ ≤ snorm' f q μ * (μ set.univ) ^ (1/p - 1/q) :=
begin
have hq0_lt : 0 < q, from lt_of_lt_of_le hp0_lt hpq,
by_cases hpq_eq : p = q,
{ rw [hpq_eq, sub_self, ennreal.rpow_zero, mul_one],
exact le_refl _, },
have hpq : p < q, from lt_of_le_of_ne hpq hpq_eq,
let g := λ a : α, (1 : ℝ≥0∞),
have h_rw : ∫⁻ a, ↑(nnnorm (f a))^p ∂ μ = ∫⁻ a, (nnnorm (f a) * (g a))^p ∂ μ,
from lintegral_congr (λ a, by simp),
repeat {rw snorm'},
rw h_rw,
let r := p * q / (q - p),
have hpqr : 1/p = 1/q + 1/r,
{ field_simp [(ne_of_lt hp0_lt).symm,
(ne_of_lt hq0_lt).symm],
ring, },
calc (∫⁻ (a : α), (↑(nnnorm (f a)) * g a) ^ p ∂μ) ^ (1/p)
≤ (∫⁻ (a : α), ↑(nnnorm (f a)) ^ q ∂μ) ^ (1/q) * (∫⁻ (a : α), (g a) ^ r ∂μ) ^ (1/r) :
ennreal.lintegral_Lp_mul_le_Lq_mul_Lr hp0_lt hpq hpqr μ hf.ennnorm
ae_measurable_const
... = (∫⁻ (a : α), ↑(nnnorm (f a)) ^ q ∂μ) ^ (1/q) * μ set.univ ^ (1/p - 1/q) :
by simp [hpqr],
end
lemma snorm'_le_snorm_ess_sup_mul_rpow_measure_univ (hq_pos : 0 < q) {f : α → F} :
snorm' f q μ ≤ snorm_ess_sup f μ * (μ set.univ) ^ (1/q) :=
begin
have h_le : ∫⁻ (a : α), ↑(nnnorm (f a)) ^ q ∂μ ≤ ∫⁻ (a : α), (snorm_ess_sup f μ) ^ q ∂μ,
{ refine lintegral_mono_ae _,
have h_nnnorm_le_snorm_ess_sup := coe_nnnorm_ae_le_snorm_ess_sup f μ,
refine h_nnnorm_le_snorm_ess_sup.mono (λ x hx, ennreal.rpow_le_rpow hx (le_of_lt hq_pos)), },
rw [snorm', ←ennreal.rpow_one (snorm_ess_sup f μ)],
nth_rewrite 1 ←mul_inv_cancel (ne_of_lt hq_pos).symm,
rw [ennreal.rpow_mul, one_div,
←ennreal.mul_rpow_of_nonneg _ _ (by simp [hq_pos.le] : 0 ≤ q⁻¹)],
refine ennreal.rpow_le_rpow _ (by simp [hq_pos.le]),
rwa lintegral_const at h_le,
end
lemma snorm_le_snorm_mul_rpow_measure_univ {p q : ℝ≥0∞} (hpq : p ≤ q) {f : α → E}
(hf : ae_measurable f μ) :
snorm f p μ ≤ snorm f q μ * (μ set.univ) ^ (1/p.to_real - 1/q.to_real) :=
begin
by_cases hp0 : p = 0,
{ simp [hp0, zero_le], },
rw ← ne.def at hp0,
have hp0_lt : 0 < p, from lt_of_le_of_ne (zero_le _) hp0.symm,
have hq0_lt : 0 < q, from lt_of_lt_of_le hp0_lt hpq,
by_cases hq_top : q = ∞,
{ simp only [hq_top, div_zero, one_div, ennreal.top_to_real, sub_zero, snorm_exponent_top,
inv_zero],
by_cases hp_top : p = ∞,
{ simp only [hp_top, ennreal.rpow_zero, mul_one, ennreal.top_to_real, sub_zero, inv_zero,
snorm_exponent_top],
exact le_rfl, },
rw snorm_eq_snorm' hp0 hp_top,
have hp_pos : 0 < p.to_real, from ennreal.to_real_pos_iff.mpr ⟨hp0_lt, hp_top⟩,
refine (snorm'_le_snorm_ess_sup_mul_rpow_measure_univ hp_pos).trans (le_of_eq _),
congr,
exact one_div _, },
have hp_lt_top : p < ∞, from hpq.trans_lt (lt_top_iff_ne_top.mpr hq_top),
have hp_pos : 0 < p.to_real, from ennreal.to_real_pos_iff.mpr ⟨hp0_lt, hp_lt_top.ne⟩,
rw [snorm_eq_snorm' hp0_lt.ne.symm hp_lt_top.ne, snorm_eq_snorm' hq0_lt.ne.symm hq_top],
have hpq_real : p.to_real ≤ q.to_real, by rwa ennreal.to_real_le_to_real hp_lt_top.ne hq_top,
exact snorm'_le_snorm'_mul_rpow_measure_univ hp_pos hpq_real hf,
end
lemma snorm'_le_snorm'_of_exponent_le {m : measurable_space α} {p q : ℝ} (hp0_lt : 0 < p)
(hpq : p ≤ q) (μ : measure α) [probability_measure μ] {f : α → E} (hf : ae_measurable f μ) :
snorm' f p μ ≤ snorm' f q μ :=
begin
have h_le_μ := snorm'_le_snorm'_mul_rpow_measure_univ hp0_lt hpq hf,
rwa [measure_univ, ennreal.one_rpow, mul_one] at h_le_μ,
end
lemma snorm'_le_snorm_ess_sup (hq_pos : 0 < q) {f : α → F} [probability_measure μ] :
snorm' f q μ ≤ snorm_ess_sup f μ :=
le_trans (snorm'_le_snorm_ess_sup_mul_rpow_measure_univ hq_pos) (le_of_eq (by simp [measure_univ]))
lemma snorm_le_snorm_of_exponent_le {p q : ℝ≥0∞} (hpq : p ≤ q) [probability_measure μ]
{f : α → E} (hf : ae_measurable f μ) :
snorm f p μ ≤ snorm f q μ :=
(snorm_le_snorm_mul_rpow_measure_univ hpq hf).trans (le_of_eq (by simp [measure_univ]))
lemma snorm'_lt_top_of_snorm'_lt_top_of_exponent_le {p q : ℝ} [finite_measure μ] {f : α → E}
(hf : ae_measurable f μ) (hfq_lt_top : snorm' f q μ < ∞) (hp_nonneg : 0 ≤ p) (hpq : p ≤ q) :
snorm' f p μ < ∞ :=
begin
cases le_or_lt p 0 with hp_nonpos hp_pos,
{ rw le_antisymm hp_nonpos hp_nonneg,
simp, },
have hq_pos : 0 < q, from lt_of_lt_of_le hp_pos hpq,
calc snorm' f p μ
≤ snorm' f q μ * (μ set.univ) ^ (1/p - 1/q) :
snorm'_le_snorm'_mul_rpow_measure_univ hp_pos hpq hf
... < ∞ :
begin
rw ennreal.mul_lt_top_iff,
refine or.inl ⟨hfq_lt_top, ennreal.rpow_lt_top_of_nonneg _ (measure_ne_top μ set.univ)⟩,
rwa [le_sub, sub_zero, one_div, one_div, inv_le_inv hq_pos hp_pos],
end
end
lemma mem_ℒp.mem_ℒp_of_exponent_le {p q : ℝ≥0∞} [finite_measure μ] {f : α → E}
(hfq : mem_ℒp f q μ) (hpq : p ≤ q) :
mem_ℒp f p μ :=
begin
cases hfq with hfq_m hfq_lt_top,
by_cases hp0 : p = 0,
{ rwa [hp0, mem_ℒp_zero_iff_ae_measurable], },
rw ←ne.def at hp0,
refine ⟨hfq_m, _⟩,
by_cases hp_top : p = ∞,
{ have hq_top : q = ∞,
by rwa [hp_top, top_le_iff] at hpq,
rw [hp_top],
rwa hq_top at hfq_lt_top, },
have hp_pos : 0 < p.to_real,
from ennreal.to_real_pos_iff.mpr ⟨lt_of_le_of_ne (zero_le _) hp0.symm, hp_top⟩,
by_cases hq_top : q = ∞,
{ rw snorm_eq_snorm' hp0 hp_top,
rw [hq_top, snorm_exponent_top] at hfq_lt_top,
refine lt_of_le_of_lt (snorm'_le_snorm_ess_sup_mul_rpow_measure_univ hp_pos) _,
refine ennreal.mul_lt_top hfq_lt_top _,
exact ennreal.rpow_lt_top_of_nonneg (by simp [le_of_lt hp_pos]) (measure_ne_top μ set.univ), },
have hq0 : q ≠ 0,
{ by_contra hq_eq_zero,
push_neg at hq_eq_zero,
have hp_eq_zero : p = 0, from le_antisymm (by rwa hq_eq_zero at hpq) (zero_le _),
rw [hp_eq_zero, ennreal.zero_to_real] at hp_pos,
exact (lt_irrefl _) hp_pos, },
have hpq_real : p.to_real ≤ q.to_real, by rwa ennreal.to_real_le_to_real hp_top hq_top,
rw snorm_eq_snorm' hp0 hp_top,
rw snorm_eq_snorm' hq0 hq_top at hfq_lt_top,
exact snorm'_lt_top_of_snorm'_lt_top_of_exponent_le hfq_m hfq_lt_top (le_of_lt hp_pos) hpq_real,
end
lemma snorm'_add_le {f g : α → E} (hf : ae_measurable f μ) (hg : ae_measurable g μ) (hq1 : 1 ≤ q) :
snorm' (f + g) q μ ≤ snorm' f q μ + snorm' g q μ :=
calc (∫⁻ a, ↑(nnnorm ((f + g) a)) ^ q ∂μ) ^ (1 / q)
≤ (∫⁻ a, (((λ a, (nnnorm (f a) : ℝ≥0∞))
+ (λ a, (nnnorm (g a) : ℝ≥0∞))) a) ^ q ∂μ) ^ (1 / q) :
begin
refine ennreal.rpow_le_rpow _ (by simp [le_trans zero_le_one hq1] : 0 ≤ 1 / q),
refine lintegral_mono (λ a, ennreal.rpow_le_rpow _ (le_trans zero_le_one hq1)),
simp [←ennreal.coe_add, nnnorm_add_le],
end
... ≤ snorm' f q μ + snorm' g q μ :
ennreal.lintegral_Lp_add_le hf.ennnorm hg.ennnorm hq1
lemma snorm_ess_sup_add_le {f g : α → F} :
snorm_ess_sup (f + g) μ ≤ snorm_ess_sup f μ + snorm_ess_sup g μ :=
begin
refine le_trans (ess_sup_mono_ae (eventually_of_forall (λ x, _)))
(ennreal.ess_sup_add_le _ _),
simp_rw [pi.add_apply, ←ennreal.coe_add, ennreal.coe_le_coe],
exact nnnorm_add_le _ _,
end
lemma snorm_add_le {f g : α → E} (hf : ae_measurable f μ) (hg : ae_measurable g μ) (hp1 : 1 ≤ p) :
snorm (f + g) p μ ≤ snorm f p μ + snorm g p μ :=
begin
by_cases hp0 : p = 0,
{ simp [hp0], },
by_cases hp_top : p = ∞,
{ simp [hp_top, snorm_ess_sup_add_le], },
have hp1_real : 1 ≤ p.to_real,
by rwa [← ennreal.one_to_real, ennreal.to_real_le_to_real ennreal.one_ne_top hp_top],
repeat { rw snorm_eq_snorm' hp0 hp_top, },
exact snorm'_add_le hf hg hp1_real,
end
lemma snorm'_sum_le [second_countable_topology E] {ι} {f : ι → α → E} {s : finset ι}
(hfs : ∀ i, i ∈ s → ae_measurable (f i) μ) (hq1 : 1 ≤ q) :
snorm' (∑ i in s, f i) q μ ≤ ∑ i in s, snorm' (f i) q μ :=
finset.le_sum_of_subadditive_on_pred (λ (f : α → E), snorm' f q μ)
(λ f, ae_measurable f μ) (snorm'_zero (zero_lt_one.trans_le hq1))
(λ f g hf hg, snorm'_add_le hf hg hq1) (λ x y, ae_measurable.add) _ hfs
lemma snorm_sum_le [second_countable_topology E] {ι} {f : ι → α → E} {s : finset ι}
(hfs : ∀ i, i ∈ s → ae_measurable (f i) μ) (hp1 : 1 ≤ p) :
snorm (∑ i in s, f i) p μ ≤ ∑ i in s, snorm (f i) p μ :=
finset.le_sum_of_subadditive_on_pred (λ (f : α → E), snorm f p μ)
(λ f, ae_measurable f μ) snorm_zero (λ f g hf hg, snorm_add_le hf hg hp1)
(λ x y, ae_measurable.add) _ hfs
lemma snorm_add_lt_top_of_one_le {f g : α → E} (hf : mem_ℒp f p μ) (hg : mem_ℒp g p μ)
(hq1 : 1 ≤ p) : snorm (f + g) p μ < ∞ :=
lt_of_le_of_lt (snorm_add_le hf.1 hg.1 hq1) (ennreal.add_lt_top.mpr ⟨hf.2, hg.2⟩)
lemma snorm'_add_lt_top_of_le_one {f g : α → E} (hf : ae_measurable f μ) (hg : ae_measurable g μ)
(hf_snorm : snorm' f q μ < ∞) (hg_snorm : snorm' g q μ < ∞) (hq_pos : 0 < q) (hq1 : q ≤ 1) :
snorm' (f + g) q μ < ∞ :=
calc (∫⁻ a, ↑(nnnorm ((f + g) a)) ^ q ∂μ) ^ (1 / q)
≤ (∫⁻ a, (((λ a, (nnnorm (f a) : ℝ≥0∞))
+ (λ a, (nnnorm (g a) : ℝ≥0∞))) a) ^ q ∂μ) ^ (1 / q) :
begin
refine ennreal.rpow_le_rpow _ (by simp [hq_pos.le] : 0 ≤ 1 / q),
refine lintegral_mono (λ a, ennreal.rpow_le_rpow _ hq_pos.le),
simp [←ennreal.coe_add, nnnorm_add_le],
end
... ≤ (∫⁻ a, (nnnorm (f a) : ℝ≥0∞) ^ q + (nnnorm (g a) : ℝ≥0∞) ^ q ∂μ) ^ (1 / q) :
begin
refine ennreal.rpow_le_rpow (lintegral_mono (λ a, _)) (by simp [hq_pos.le] : 0 ≤ 1 / q),
exact ennreal.rpow_add_le_add_rpow _ _ hq_pos hq1,
end
... < ∞ :
begin
refine ennreal.rpow_lt_top_of_nonneg (by simp [hq_pos.le] : 0 ≤ 1 / q) _,
rw [lintegral_add' (hf.ennnorm.pow_const q)
(hg.ennnorm.pow_const q), ennreal.add_ne_top, ←lt_top_iff_ne_top,
←lt_top_iff_ne_top],
exact ⟨lintegral_rpow_nnnorm_lt_top_of_snorm'_lt_top hq_pos hf_snorm,
lintegral_rpow_nnnorm_lt_top_of_snorm'_lt_top hq_pos hg_snorm⟩,
end
lemma snorm_add_lt_top {f g : α → E} (hf : mem_ℒp f p μ) (hg : mem_ℒp g p μ) :
snorm (f + g) p μ < ∞ :=
begin
by_cases h0 : p = 0,
{ simp [h0], },
rw ←ne.def at h0,
cases le_total 1 p with hp1 hp1,
{ exact snorm_add_lt_top_of_one_le hf hg hp1, },
have hp_top : p ≠ ∞, from (lt_of_le_of_lt hp1 ennreal.coe_lt_top).ne,
have hp_pos : 0 < p.to_real,
{ rw [← ennreal.zero_to_real, @ennreal.to_real_lt_to_real 0 p ennreal.coe_ne_top hp_top],
exact ((zero_le p).lt_of_ne h0.symm), },
have hp1_real : p.to_real ≤ 1,
{ rwa [← ennreal.one_to_real, @ennreal.to_real_le_to_real p 1 hp_top ennreal.coe_ne_top], },
rw snorm_eq_snorm' h0 hp_top,
rw [mem_ℒp, snorm_eq_snorm' h0 hp_top] at hf hg,
exact snorm'_add_lt_top_of_le_one hf.1 hg.1 hf.2 hg.2 hp_pos hp1_real,
end
section second_countable_topology
variable [second_countable_topology E]
lemma mem_ℒp.add {f g : α → E} (hf : mem_ℒp f p μ) (hg : mem_ℒp g p μ) : mem_ℒp (f + g) p μ :=
⟨ae_measurable.add hf.1 hg.1, snorm_add_lt_top hf hg⟩
lemma mem_ℒp.sub {f g : α → E} (hf : mem_ℒp f p μ) (hg : mem_ℒp g p μ) : mem_ℒp (f - g) p μ :=
by { rw sub_eq_add_neg, exact hf.add hg.neg }
end second_countable_topology
end borel_space
section normed_space
variables {𝕜 : Type*} [normed_field 𝕜] [normed_space 𝕜 E] [normed_space 𝕜 F]
lemma snorm'_const_smul {f : α → F} (c : 𝕜) (hq_pos : 0 < q) :
snorm' (c • f) q μ = (nnnorm c : ℝ≥0∞) * snorm' f q μ :=
begin
rw snorm',
simp_rw [pi.smul_apply, nnnorm_smul, ennreal.coe_mul,
ennreal.mul_rpow_of_nonneg _ _ hq_pos.le],
suffices h_integral : ∫⁻ a, ↑(nnnorm c) ^ q * ↑(nnnorm (f a)) ^ q ∂μ
= (nnnorm c : ℝ≥0∞)^q * ∫⁻ a, (nnnorm (f a)) ^ q ∂μ,
{ apply_fun (λ x, x ^ (1/q)) at h_integral,
rw [h_integral, ennreal.mul_rpow_of_nonneg _ _ (by simp [hq_pos.le] : 0 ≤ 1 / q)],
congr,
simp_rw [←ennreal.rpow_mul, one_div, mul_inv_cancel hq_pos.ne.symm, ennreal.rpow_one], },
rw lintegral_const_mul',
rw ennreal.coe_rpow_of_nonneg _ hq_pos.le,
exact ennreal.coe_ne_top,
end
lemma snorm_ess_sup_const_smul {f : α → F} (c : 𝕜) :
snorm_ess_sup (c • f) μ = (nnnorm c : ℝ≥0∞) * snorm_ess_sup f μ :=
by simp_rw [snorm_ess_sup, pi.smul_apply, nnnorm_smul, ennreal.coe_mul, ennreal.ess_sup_const_mul]
lemma snorm_const_smul {f : α → F} (c : 𝕜) :
snorm (c • f) p μ = (nnnorm c : ℝ≥0∞) * snorm f p μ :=
begin
by_cases h0 : p = 0,
{ simp [h0], },
by_cases h_top : p = ∞,
{ simp [h_top, snorm_ess_sup_const_smul], },
repeat { rw snorm_eq_snorm' h0 h_top, },
rw ←ne.def at h0,
exact snorm'_const_smul c
(ennreal.to_real_pos_iff.mpr ⟨lt_of_le_of_ne (zero_le _) h0.symm, h_top⟩),
end
lemma mem_ℒp.const_smul [measurable_space 𝕜] [opens_measurable_space 𝕜] [borel_space E] {f : α → E}
(hf : mem_ℒp f p μ) (c : 𝕜) :
mem_ℒp (c • f) p μ :=
⟨ae_measurable.const_smul hf.1 c,
lt_of_le_of_lt (le_of_eq (snorm_const_smul c)) (ennreal.mul_lt_top ennreal.coe_lt_top hf.2)⟩
lemma mem_ℒp.const_mul [measurable_space 𝕜] [borel_space 𝕜]
{f : α → 𝕜} (hf : mem_ℒp f p μ) (c : 𝕜) : mem_ℒp (λ x, c * f x) p μ :=
hf.const_smul c
lemma snorm'_smul_le_mul_snorm' [opens_measurable_space E] [measurable_space 𝕜]
[opens_measurable_space 𝕜] {p q r : ℝ}
{f : α → E} (hf : ae_measurable f μ) {φ : α → 𝕜} (hφ : ae_measurable φ μ)
(hp0_lt : 0 < p) (hpq : p < q) (hpqr : 1/p = 1/q + 1/r) :
snorm' (φ • f) p μ ≤ snorm' φ q μ * snorm' f r μ :=
begin
simp_rw [snorm', pi.smul_apply', nnnorm_smul, ennreal.coe_mul],
exact ennreal.lintegral_Lp_mul_le_Lq_mul_Lr hp0_lt hpq hpqr μ hφ.ennnorm
hf.ennnorm,
end
end normed_space
section monotonicity
lemma snorm_le_mul_snorm_aux_of_nonneg {f : α → F} {g : α → G} {c : ℝ}
(h : ∀ᵐ x ∂μ, ∥f x∥ ≤ c * ∥g x∥) (hc : 0 ≤ c) (p : ℝ≥0∞) :
snorm f p μ ≤ (ennreal.of_real c) * snorm g p μ :=
begin
lift c to ℝ≥0 using hc,
rw [ennreal.of_real_coe_nnreal, ← c.nnnorm_eq, ← snorm_norm g, ← snorm_const_smul (c : ℝ)],
swap, apply_instance,
refine snorm_mono_ae _,
simpa
end
lemma snorm_le_mul_snorm_aux_of_neg {f : α → F} {g : α → G} {c : ℝ}
(h : ∀ᵐ x ∂μ, ∥f x∥ ≤ c * ∥g x∥) (hc : c < 0) (p : ℝ≥0∞) :
snorm f p μ = 0 ∧ snorm g p μ = 0 :=
begin
suffices : f =ᵐ[μ] 0 ∧ g =ᵐ[μ] 0,
by simp [snorm_congr_ae this.1, snorm_congr_ae this.2],
refine ⟨h.mono $ λ x hx, _, h.mono $ λ x hx, _⟩,
{ refine norm_le_zero_iff.1 (hx.trans _),
exact mul_nonpos_of_nonpos_of_nonneg hc.le (norm_nonneg _) },
{ refine norm_le_zero_iff.1 (nonpos_of_mul_nonneg_right _ hc),
exact (norm_nonneg _).trans hx }
end
lemma snorm_le_mul_snorm_of_ae_le_mul {f : α → F} {g : α → G} {c : ℝ}
(h : ∀ᵐ x ∂μ, ∥f x∥ ≤ c * ∥g x∥) (p : ℝ≥0∞) :
snorm f p μ ≤ (ennreal.of_real c) * snorm g p μ :=
begin
cases le_or_lt 0 c with hc hc,
{ exact snorm_le_mul_snorm_aux_of_nonneg h hc p },
{ simp [snorm_le_mul_snorm_aux_of_neg h hc p] }
end
lemma mem_ℒp.of_le_mul [measurable_space F] {f : α → E} {g : α → F} {c : ℝ}
(hg : mem_ℒp g p μ) (hf : ae_measurable f μ) (hfg : ∀ᵐ x ∂μ, ∥f x∥ ≤ c * ∥g x∥) :
mem_ℒp f p μ :=
begin
simp only [mem_ℒp, hf, true_and],
apply lt_of_le_of_lt (snorm_le_mul_snorm_of_ae_le_mul hfg p),
simp [lt_top_iff_ne_top, hg.snorm_ne_top],
end
end monotonicity
section is_R_or_C
variables {𝕜 : Type*} [is_R_or_C 𝕜] [measurable_space 𝕜] [opens_measurable_space 𝕜] {f : α → 𝕜}
lemma mem_ℒp.re (hf : mem_ℒp f p μ) : mem_ℒp (λ x, is_R_or_C.re (f x)) p μ :=
begin
have : ∀ x, ∥is_R_or_C.re (f x)∥ ≤ 1 * ∥f x∥,
by { intro x, rw one_mul, exact is_R_or_C.norm_re_le_norm (f x), },
exact hf.of_le_mul hf.1.re (eventually_of_forall this),
end
lemma mem_ℒp.im (hf : mem_ℒp f p μ) : mem_ℒp (λ x, is_R_or_C.im (f x)) p μ :=
begin
have : ∀ x, ∥is_R_or_C.im (f x)∥ ≤ 1 * ∥f x∥,
by { intro x, rw one_mul, exact is_R_or_C.norm_im_le_norm (f x), },
exact hf.of_le_mul hf.1.im (eventually_of_forall this),
end
end is_R_or_C
section inner_product
variables {E' 𝕜 : Type*} [is_R_or_C 𝕜] [measurable_space 𝕜] [borel_space 𝕜]
[inner_product_space 𝕜 E']
[measurable_space E'] [opens_measurable_space E'] [second_countable_topology E']
local notation `⟪`x`, `y`⟫` := @inner 𝕜 E' _ x y
lemma mem_ℒp.const_inner (c : E') {f : α → E'} (hf : mem_ℒp f p μ) :
mem_ℒp (λ a, ⟪c, f a⟫) p μ :=
hf.of_le_mul (ae_measurable.inner ae_measurable_const hf.1)
(eventually_of_forall (λ x, norm_inner_le_norm _ _))
lemma mem_ℒp.inner_const {f : α → E'} (hf : mem_ℒp f p μ) (c : E') :
mem_ℒp (λ a, ⟪f a, c⟫) p μ :=
hf.of_le_mul (ae_measurable.inner hf.1 ae_measurable_const)
(eventually_of_forall (λ x, by { rw mul_comm, exact norm_inner_le_norm _ _, }))
end inner_product
end ℒp
/-!
### Lp space
The space of equivalence classes of measurable functions for which `snorm f p μ < ∞`.
-/
@[simp] lemma snorm_ae_eq_fun {α E : Type*} [measurable_space α] {μ : measure α}
[measurable_space E] [normed_group E] {p : ℝ≥0∞} {f : α → E} (hf : ae_measurable f μ) :
snorm (ae_eq_fun.mk f hf) p μ = snorm f p μ :=
snorm_congr_ae (ae_eq_fun.coe_fn_mk _ _)
lemma mem_ℒp.snorm_mk_lt_top {α E : Type*} [measurable_space α] {μ : measure α}
[measurable_space E] [normed_group E] {p : ℝ≥0∞} {f : α → E} (hfp : mem_ℒp f p μ) :
snorm (ae_eq_fun.mk f hfp.1) p μ < ∞ :=
by simp [hfp.2]
/-- Lp space -/
def Lp {α} (E : Type*) {m : measurable_space α} [measurable_space E] [normed_group E]
[borel_space E] [second_countable_topology E]
(p : ℝ≥0∞) (μ : measure α) : add_subgroup (α →ₘ[μ] E) :=
{ carrier := {f | snorm f p μ < ∞},
zero_mem' := by simp [snorm_congr_ae ae_eq_fun.coe_fn_zero, snorm_zero],
add_mem' := λ f g hf hg, by simp [snorm_congr_ae (ae_eq_fun.coe_fn_add _ _),
snorm_add_lt_top ⟨f.ae_measurable, hf⟩ ⟨g.ae_measurable, hg⟩],
neg_mem' := λ f hf,
by rwa [set.mem_set_of_eq, snorm_congr_ae (ae_eq_fun.coe_fn_neg _), snorm_neg] }
localized "notation α ` →₁[`:25 μ `] ` E := measure_theory.Lp E 1 μ" in measure_theory
localized "notation α ` →₂[`:25 μ `] ` E := measure_theory.Lp E 2 μ" in measure_theory
namespace mem_ℒp
variables [borel_space E] [second_countable_topology E]
/-- make an element of Lp from a function verifying `mem_ℒp` -/
def to_Lp (f : α → E) (h_mem_ℒp : mem_ℒp f p μ) : Lp E p μ :=
⟨ae_eq_fun.mk f h_mem_ℒp.1, h_mem_ℒp.snorm_mk_lt_top⟩
lemma coe_fn_to_Lp {f : α → E} (hf : mem_ℒp f p μ) : hf.to_Lp f =ᵐ[μ] f :=
ae_eq_fun.coe_fn_mk _ _
@[simp] lemma to_Lp_eq_to_Lp_iff {f g : α → E} (hf : mem_ℒp f p μ) (hg : mem_ℒp g p μ) :
hf.to_Lp f = hg.to_Lp g ↔ f =ᵐ[μ] g :=
by simp [to_Lp]
@[simp] lemma to_Lp_zero (h : mem_ℒp (0 : α → E) p μ) : h.to_Lp 0 = 0 := rfl
lemma to_Lp_add {f g : α → E} (hf : mem_ℒp f p μ) (hg : mem_ℒp g p μ) :
(hf.add hg).to_Lp (f + g) = hf.to_Lp f + hg.to_Lp g := rfl
lemma to_Lp_neg {f : α → E} (hf : mem_ℒp f p μ) : hf.neg.to_Lp (-f) = - hf.to_Lp f := rfl
lemma to_Lp_sub {f g : α → E} (hf : mem_ℒp f p μ) (hg : mem_ℒp g p μ) :
(hf.sub hg).to_Lp (f - g) = hf.to_Lp f - hg.to_Lp g := rfl
end mem_ℒp
namespace Lp
variables [borel_space E] [second_countable_topology E]
instance : has_coe_to_fun (Lp E p μ) := ⟨λ _, α → E, λ f, ((f : α →ₘ[μ] E) : α → E)⟩
@[ext] lemma ext {f g : Lp E p μ} (h : f =ᵐ[μ] g) : f = g :=
begin
cases f,
cases g,
simp only [subtype.mk_eq_mk],
exact ae_eq_fun.ext h
end
lemma ext_iff {f g : Lp E p μ} : f = g ↔ f =ᵐ[μ] g :=
⟨λ h, by rw h, λ h, ext h⟩
lemma mem_Lp_iff_snorm_lt_top {f : α →ₘ[μ] E} : f ∈ Lp E p μ ↔ snorm f p μ < ∞ := iff.refl _
lemma mem_Lp_iff_mem_ℒp {f : α →ₘ[μ] E} : f ∈ Lp E p μ ↔ mem_ℒp f p μ :=
by simp [mem_Lp_iff_snorm_lt_top, mem_ℒp, f.measurable.ae_measurable]
lemma antimono [finite_measure μ] {p q : ℝ≥0∞} (hpq : p ≤ q) : Lp E q μ ≤ Lp E p μ :=
λ f hf, (mem_ℒp.mem_ℒp_of_exponent_le ⟨f.ae_measurable, hf⟩ hpq).2
@[simp] lemma coe_fn_mk {f : α →ₘ[μ] E} (hf : snorm f p μ < ∞) :
((⟨f, hf⟩ : Lp E p μ) : α → E) = f := rfl
@[simp] lemma coe_mk {f : α →ₘ[μ] E} (hf : snorm f p μ < ∞) :
((⟨f, hf⟩ : Lp E p μ) : α →ₘ[μ] E) = f := rfl
@[simp] lemma to_Lp_coe_fn (f : Lp E p μ) (hf : mem_ℒp f p μ) : hf.to_Lp f = f :=
by { cases f, simp [mem_ℒp.to_Lp] }
lemma snorm_lt_top (f : Lp E p μ) : snorm f p μ < ∞ := f.prop
lemma snorm_ne_top (f : Lp E p μ) : snorm f p μ ≠ ∞ := (snorm_lt_top f).ne
@[measurability]
protected lemma measurable (f : Lp E p μ) : measurable f := f.val.measurable
@[measurability]
protected lemma ae_measurable (f : Lp E p μ) : ae_measurable f μ := f.val.ae_measurable
protected lemma mem_ℒp (f : Lp E p μ) : mem_ℒp f p μ := ⟨Lp.ae_measurable f, f.prop⟩
variables (E p μ)
lemma coe_fn_zero : ⇑(0 : Lp E p μ) =ᵐ[μ] 0 := ae_eq_fun.coe_fn_zero
variables {E p μ}
lemma coe_fn_neg (f : Lp E p μ) : ⇑(-f) =ᵐ[μ] -f := ae_eq_fun.coe_fn_neg _
lemma coe_fn_add (f g : Lp E p μ) : ⇑(f + g) =ᵐ[μ] f + g := ae_eq_fun.coe_fn_add _ _
lemma coe_fn_sub (f g : Lp E p μ) : ⇑(f - g) =ᵐ[μ] f - g := ae_eq_fun.coe_fn_sub _ _
lemma mem_Lp_const (α) {m : measurable_space α} (μ : measure α) (c : E) [finite_measure μ] :
@ae_eq_fun.const α _ _ μ _ c ∈ Lp E p μ :=
(mem_ℒp_const c).snorm_mk_lt_top
instance : has_norm (Lp E p μ) := { norm := λ f, ennreal.to_real (snorm f p μ) }
instance : has_dist (Lp E p μ) := { dist := λ f g, ∥f - g∥}
instance : has_edist (Lp E p μ) := { edist := λ f g, ennreal.of_real (dist f g) }
lemma norm_def (f : Lp E p μ) : ∥f∥ = ennreal.to_real (snorm f p μ) := rfl
@[simp] lemma norm_to_Lp (f : α → E) (hf : mem_ℒp f p μ) :
∥hf.to_Lp f∥ = ennreal.to_real (snorm f p μ) :=
by rw [norm_def, snorm_congr_ae (mem_ℒp.coe_fn_to_Lp hf)]
lemma dist_def (f g : Lp E p μ) : dist f g = (snorm (f - g) p μ).to_real :=
begin
simp_rw [dist, norm_def],
congr' 1,
apply snorm_congr_ae (coe_fn_sub _ _),
end
lemma edist_def (f g : Lp E p μ) : edist f g = snorm (f - g) p μ :=
begin
simp_rw [edist, dist, norm_def, ennreal.of_real_to_real (snorm_ne_top _)],
exact snorm_congr_ae (coe_fn_sub _ _)
end
@[simp] lemma edist_to_Lp_to_Lp (f g : α → E) (hf : mem_ℒp f p μ) (hg : mem_ℒp g p μ) :
edist (hf.to_Lp f) (hg.to_Lp g) = snorm (f - g) p μ :=
by { rw edist_def, exact snorm_congr_ae (hf.coe_fn_to_Lp.sub hg.coe_fn_to_Lp) }
@[simp] lemma edist_to_Lp_zero (f : α → E) (hf : mem_ℒp f p μ) :
edist (hf.to_Lp f) 0 = snorm f p μ :=
by { convert edist_to_Lp_to_Lp f 0 hf zero_mem_ℒp, simp }
@[simp] lemma norm_zero : ∥(0 : Lp E p μ)∥ = 0 :=
begin
change (snorm ⇑(0 : α →ₘ[μ] E) p μ).to_real = 0,
simp [snorm_congr_ae ae_eq_fun.coe_fn_zero, snorm_zero]
end
lemma norm_eq_zero_iff {f : Lp E p μ} (hp : 0 < p) : ∥f∥ = 0 ↔ f = 0 :=
begin
refine ⟨λ hf, _, λ hf, by simp [hf]⟩,
rw [norm_def, ennreal.to_real_eq_zero_iff] at hf,
cases hf,
{ rw snorm_eq_zero_iff (Lp.ae_measurable f) hp.ne.symm at hf,
exact subtype.eq (ae_eq_fun.ext (hf.trans ae_eq_fun.coe_fn_zero.symm)), },
{ exact absurd hf (snorm_ne_top f), },
end
lemma eq_zero_iff_ae_eq_zero {f : Lp E p μ} : f = 0 ↔ f =ᵐ[μ] 0 :=
begin
split,
{ assume h,
rw h,
exact ae_eq_fun.coe_fn_const _ _ },
{ assume h,
ext1,
filter_upwards [h, ae_eq_fun.coe_fn_const α (0 : E)],
assume a ha h'a,
rw ha,
exact h'a.symm }
end
@[simp] lemma norm_neg {f : Lp E p μ} : ∥-f∥ = ∥f∥ :=
by rw [norm_def, norm_def, snorm_congr_ae (coe_fn_neg _), snorm_neg]
lemma norm_le_mul_norm_of_ae_le_mul
[second_countable_topology F] [measurable_space F] [borel_space F]
{c : ℝ} {f : Lp E p μ} {g : Lp F p μ} (h : ∀ᵐ x ∂μ, ∥f x∥ ≤ c * ∥g x∥) : ∥f∥ ≤ c * ∥g∥ :=
begin
by_cases pzero : p = 0,
{ simp [pzero, norm_def] },
cases le_or_lt 0 c with hc hc,
{ have := snorm_le_mul_snorm_aux_of_nonneg h hc p,
rw [← ennreal.to_real_le_to_real, ennreal.to_real_mul, ennreal.to_real_of_real hc] at this,
{ exact this },
{ exact (Lp.mem_ℒp _).snorm_ne_top },
{ simp [(Lp.mem_ℒp _).snorm_ne_top] } },
{ have := snorm_le_mul_snorm_aux_of_neg h hc p,
simp only [snorm_eq_zero_iff (Lp.ae_measurable _) pzero, ← eq_zero_iff_ae_eq_zero] at this,
simp [this] }
end
lemma norm_le_norm_of_ae_le [second_countable_topology F] [measurable_space F] [borel_space F]
{f : Lp E p μ} {g : Lp F p μ} (h : ∀ᵐ x ∂μ, ∥f x∥ ≤ ∥g x∥) : ∥f∥ ≤ ∥g∥ :=
begin
rw [norm_def, norm_def, ennreal.to_real_le_to_real (snorm_ne_top _) (snorm_ne_top _)],
exact snorm_mono_ae h
end
lemma mem_Lp_of_ae_le_mul [second_countable_topology F] [measurable_space F] [borel_space F]
{c : ℝ} {f : α →ₘ[μ] E} {g : Lp F p μ} (h : ∀ᵐ x ∂μ, ∥f x∥ ≤ c * ∥g x∥) : f ∈ Lp E p μ :=
mem_Lp_iff_mem_ℒp.2 $ mem_ℒp.of_le_mul (Lp.mem_ℒp g) f.ae_measurable h
lemma mem_Lp_of_ae_le [second_countable_topology F] [measurable_space F] [borel_space F]
{f : α →ₘ[μ] E} {g : Lp F p μ} (h : ∀ᵐ x ∂μ, ∥f x∥ ≤ ∥g x∥) : f ∈ Lp E p μ :=
mem_Lp_iff_mem_ℒp.2 $ mem_ℒp.of_le (Lp.mem_ℒp g) f.ae_measurable h
lemma mem_Lp_of_ae_bound [finite_measure μ] {f : α →ₘ[μ] E} (C : ℝ) (hfC : ∀ᵐ x ∂μ, ∥f x∥ ≤ C) :
f ∈ Lp E p μ :=
mem_Lp_iff_mem_ℒp.2 $ mem_ℒp.of_bound f.ae_measurable _ hfC
lemma norm_le_of_ae_bound [finite_measure μ] {f : Lp E p μ} {C : ℝ} (hC : 0 ≤ C)
(hfC : ∀ᵐ x ∂μ, ∥f x∥ ≤ C) :
∥f∥ ≤ (measure_univ_nnreal μ) ^ (p.to_real)⁻¹ * C :=
begin
by_cases hμ : μ = 0,
{ by_cases hp : p.to_real⁻¹ = 0,
{ simpa [hp, hμ, norm_def] using hC },
{ simp [hμ, norm_def, real.zero_rpow hp] } },
let A : ℝ≥0 := (measure_univ_nnreal μ) ^ (p.to_real)⁻¹ * ⟨C, hC⟩,
suffices : snorm f p μ ≤ A,
{ exact ennreal.to_real_le_coe_of_le_coe this },
convert snorm_le_of_ae_bound hfC,
rw [← coe_measure_univ_nnreal μ, ennreal.coe_rpow_of_ne_zero (measure_univ_nnreal_pos hμ).ne',
ennreal.coe_mul],
congr,
rw max_eq_left hC
end
instance [hp : fact (1 ≤ p)] : normed_group (Lp E p μ) :=
normed_group.of_core _
{ norm_eq_zero_iff := λ f, norm_eq_zero_iff (ennreal.zero_lt_one.trans_le hp.1),
triangle := begin
assume f g,
simp only [norm_def],
rw ← ennreal.to_real_add (snorm_ne_top f) (snorm_ne_top g),
suffices h_snorm : snorm ⇑(f + g) p μ ≤ snorm ⇑f p μ + snorm ⇑g p μ,
{ rwa ennreal.to_real_le_to_real (snorm_ne_top (f + g)),
exact ennreal.add_ne_top.mpr ⟨snorm_ne_top f, snorm_ne_top g⟩, },
rw [snorm_congr_ae (coe_fn_add _ _)],
exact snorm_add_le (Lp.ae_measurable f) (Lp.ae_measurable g) hp.1,
end,
norm_neg := by simp }
instance normed_group_L1 : normed_group (Lp E 1 μ) := by apply_instance
instance normed_group_L2 : normed_group (Lp E 2 μ) := by apply_instance
instance normed_group_Ltop : normed_group (Lp E ∞ μ) := by apply_instance
section normed_space
variables {𝕜 : Type*} [normed_field 𝕜] [normed_space 𝕜 E] [measurable_space 𝕜]
[opens_measurable_space 𝕜]
lemma mem_Lp_const_smul (c : 𝕜) (f : Lp E p μ) : c • ↑f ∈ Lp E p μ :=
begin
rw [mem_Lp_iff_snorm_lt_top, snorm_congr_ae (ae_eq_fun.coe_fn_smul _ _), snorm_const_smul,
ennreal.mul_lt_top_iff],
exact or.inl ⟨ennreal.coe_lt_top, f.prop⟩,
end
variables (E p μ 𝕜)
/-- The `𝕜`-submodule of elements of `α →ₘ[μ] E` whose `Lp` norm is finite. This is `Lp E p μ`,
with extra structure. -/
def Lp_submodule : submodule 𝕜 (α →ₘ[μ] E) :=
{ smul_mem' := λ c f hf, by simpa using mem_Lp_const_smul c ⟨f, hf⟩,
.. Lp E p μ }
variables {E p μ 𝕜}
lemma coe_Lp_submodule : (Lp_submodule E p μ 𝕜).to_add_subgroup = Lp E p μ := rfl
instance : module 𝕜 (Lp E p μ) :=
{ .. (Lp_submodule E p μ 𝕜).module }
lemma coe_fn_smul (c : 𝕜) (f : Lp E p μ) : ⇑(c • f) =ᵐ[μ] c • f := ae_eq_fun.coe_fn_smul _ _
lemma norm_const_smul (c : 𝕜) (f : Lp E p μ) : ∥c • f∥ = ∥c∥ * ∥f∥ :=
by rw [norm_def, snorm_congr_ae (coe_fn_smul _ _), snorm_const_smul c,
ennreal.to_real_mul, ennreal.coe_to_real, coe_nnnorm, norm_def]
instance [fact (1 ≤ p)] : normed_space 𝕜 (Lp E p μ) :=
{ norm_smul_le := λ _ _, by simp [norm_const_smul] }
instance normed_space_L1 : normed_space 𝕜 (Lp E 1 μ) := by apply_instance
instance normed_space_L2 : normed_space 𝕜 (Lp E 2 μ) := by apply_instance
instance normed_space_Ltop : normed_space 𝕜 (Lp E ∞ μ) := by apply_instance
end normed_space
end Lp
namespace mem_ℒp
variables
[borel_space E] [second_countable_topology E]
{𝕜 : Type*} [normed_field 𝕜] [normed_space 𝕜 E] [measurable_space 𝕜] [opens_measurable_space 𝕜]
lemma to_Lp_const_smul {f : α → E} (c : 𝕜) (hf : mem_ℒp f p μ) :
(hf.const_smul c).to_Lp (c • f) = c • hf.to_Lp f := rfl
end mem_ℒp
/-! ### Indicator of a set as an element of Lᵖ
For a set `s` with `(hs : measurable_set s)` and `(hμs : μ s < ∞)`, we build
`indicator_const_Lp p hs hμs c`, the element of `Lp` corresponding to `s.indicator (λ x, c)`.
-/
section indicator
variables {s : set α} {hs : measurable_set s} {c : E} {f : α → E} {hf : ae_measurable f μ}
lemma snorm_ess_sup_indicator_le (s : set α) (f : α → G) :
snorm_ess_sup (s.indicator f) μ ≤ snorm_ess_sup f μ :=
begin
refine ess_sup_mono_ae (eventually_of_forall (λ x, _)),
rw [ennreal.coe_le_coe, nnnorm_indicator_eq_indicator_nnnorm],
exact set.indicator_le_self s _ x,
end
lemma snorm_ess_sup_indicator_const_le (s : set α) (c : G) :
snorm_ess_sup (s.indicator (λ x : α , c)) μ ≤ ∥c∥₊ :=
begin
by_cases hμ0 : μ = 0,
{ rw [hμ0, snorm_ess_sup_measure_zero, ennreal.coe_nonneg],
exact zero_le', },
{ exact (snorm_ess_sup_indicator_le s (λ x, c)).trans (snorm_ess_sup_const c hμ0).le, },
end
lemma snorm_ess_sup_indicator_const_eq (s : set α) (c : G) (hμs : μ s ≠ 0) :
snorm_ess_sup (s.indicator (λ x : α , c)) μ = ∥c∥₊ :=
begin
refine le_antisymm (snorm_ess_sup_indicator_const_le s c) _,
by_contra h,
push_neg at h,
have h' := ae_iff.mp (ae_lt_of_ess_sup_lt h),
push_neg at h',
refine hμs (measure_mono_null (λ x hx_mem, _) h'),
rw [set.mem_set_of_eq, set.indicator_of_mem hx_mem],
exact le_rfl,
end
variables (hs)
lemma snorm_indicator_le {E : Type*} [normed_group E] (f : α → E) :
snorm (s.indicator f) p μ ≤ snorm f p μ :=
begin
refine snorm_mono_ae (eventually_of_forall (λ x, _)),
suffices : ∥s.indicator f x∥₊ ≤ ∥f x∥₊,
{ exact nnreal.coe_mono this },
rw nnnorm_indicator_eq_indicator_nnnorm,
exact s.indicator_le_self _ x,
end
variables {hs}
lemma snorm_indicator_const {c : G} (hs : measurable_set s) (hp : p ≠ 0) (hp_top : p ≠ ∞) :
snorm (s.indicator (λ x, c)) p μ = ∥c∥₊ * (μ s) ^ (1 / p.to_real) :=
begin
have hp_pos : 0 < p.to_real,
from ennreal.to_real_pos_iff.mpr ⟨lt_of_le_of_ne (zero_le _) hp.symm, hp_top⟩,
rw snorm_eq_lintegral_rpow_nnnorm hp hp_top,
simp_rw [nnnorm_indicator_eq_indicator_nnnorm, ennreal.coe_indicator],
have h_indicator_pow : (λ a : α, s.indicator (λ (x : α), (∥c∥₊ : ℝ≥0∞)) a ^ p.to_real)
= s.indicator (λ (x : α), ↑∥c∥₊ ^ p.to_real),
{ rw set.comp_indicator_const (∥c∥₊ : ℝ≥0∞) (λ x, x ^ p.to_real) _,
simp [hp_pos], },
rw [h_indicator_pow, lintegral_indicator _ hs, set_lintegral_const, ennreal.mul_rpow_of_nonneg],
{ rw [← ennreal.rpow_mul, mul_one_div_cancel hp_pos.ne.symm, ennreal.rpow_one], },
{ simp [hp_pos.le], },
end
lemma snorm_indicator_const' {c : G} (hs : measurable_set s) (hμs : μ s ≠ 0) (hp : p ≠ 0) :
snorm (s.indicator (λ _, c)) p μ = ∥c∥₊ * (μ s) ^ (1 / p.to_real) :=
begin
by_cases hp_top : p = ∞,
{ simp [hp_top, snorm_ess_sup_indicator_const_eq s c hμs], },
{ exact snorm_indicator_const hs hp hp_top, },
end
lemma mem_ℒp.indicator (hs : measurable_set s) (hf : mem_ℒp f p μ) :
mem_ℒp (s.indicator f) p μ :=
⟨hf.ae_measurable.indicator hs, lt_of_le_of_lt (snorm_indicator_le f) hf.snorm_lt_top⟩
lemma mem_ℒp_indicator_const (p : ℝ≥0∞) (hs : measurable_set s) (c : E) (hμsc : c = 0 ∨ μ s ≠ ∞) :
mem_ℒp (s.indicator (λ _, c)) p μ :=
begin
cases hμsc with hc hμs,
{ simp only [hc, set.indicator_zero],
exact zero_mem_ℒp, },
refine ⟨(ae_measurable_indicator_iff hs).mpr ae_measurable_const, _⟩,
by_cases hp0 : p = 0,
{ simp only [hp0, snorm_exponent_zero, with_top.zero_lt_top], },
by_cases hp_top : p = ∞,
{ rw [hp_top, snorm_exponent_top],
exact (snorm_ess_sup_indicator_const_le s c).trans_lt ennreal.coe_lt_top, },
have hp_pos : 0 < p.to_real,
from ennreal.to_real_pos_iff.mpr ⟨lt_of_le_of_ne (zero_le _) (ne.symm hp0), hp_top⟩,
rw snorm_lt_top_iff_lintegral_rpow_nnnorm_lt_top hp0 hp_top,
simp_rw [nnnorm_indicator_eq_indicator_nnnorm, ennreal.coe_indicator],
have h_indicator_pow : (λ a : α, s.indicator (λ _, (∥c∥₊ : ℝ≥0∞)) a ^ p.to_real)
= s.indicator (λ _, ↑∥c∥₊ ^ p.to_real),
{ rw set.comp_indicator_const (∥c∥₊ : ℝ≥0∞) (λ x, x ^ p.to_real) _, simp [hp_pos], },
rw [h_indicator_pow, lintegral_indicator _ hs, set_lintegral_const],
refine ennreal.mul_lt_top _ (lt_top_iff_ne_top.mpr hμs),
exact ennreal.rpow_lt_top_of_nonneg hp_pos.le ennreal.coe_ne_top,
end
end indicator
section indicator_const_Lp
open set function
variables {s : set α} {hs : measurable_set s} {hμs : μ s ≠ ∞} {c : E}
[borel_space E] [second_countable_topology E]
/-- Indicator of a set as an element of `Lp`. -/
def indicator_const_Lp (p : ℝ≥0∞) (hs : measurable_set s) (hμs : μ s ≠ ∞) (c : E) : Lp E p μ :=
mem_ℒp.to_Lp (s.indicator (λ _, c)) (mem_ℒp_indicator_const p hs c (or.inr hμs))
lemma indicator_const_Lp_coe_fn : ⇑(indicator_const_Lp p hs hμs c) =ᵐ[μ] s.indicator (λ _, c) :=
mem_ℒp.coe_fn_to_Lp (mem_ℒp_indicator_const p hs c (or.inr hμs))
lemma indicator_const_Lp_coe_fn_mem :
∀ᵐ (x : α) ∂μ, x ∈ s → indicator_const_Lp p hs hμs c x = c :=
indicator_const_Lp_coe_fn.mono (λ x hx hxs, hx.trans (set.indicator_of_mem hxs _))
lemma indicator_const_Lp_coe_fn_nmem :
∀ᵐ (x : α) ∂μ, x ∉ s → indicator_const_Lp p hs hμs c x = 0 :=
indicator_const_Lp_coe_fn.mono (λ x hx hxs, hx.trans (set.indicator_of_not_mem hxs _))
lemma norm_indicator_const_Lp (hp_ne_zero : p ≠ 0) (hp_ne_top : p ≠ ∞) :
∥indicator_const_Lp p hs hμs c∥ = ∥c∥ * (μ s).to_real ^ (1 / p.to_real) :=
by rw [Lp.norm_def, snorm_congr_ae indicator_const_Lp_coe_fn,
snorm_indicator_const hs hp_ne_zero hp_ne_top, ennreal.to_real_mul, ennreal.to_real_rpow,
ennreal.coe_to_real, coe_nnnorm]
lemma norm_indicator_const_Lp_top (hμs_ne_zero : μ s ≠ 0) : ∥indicator_const_Lp ∞ hs hμs c∥ = ∥c∥ :=
by rw [Lp.norm_def, snorm_congr_ae indicator_const_Lp_coe_fn,
snorm_indicator_const' hs hμs_ne_zero ennreal.top_ne_zero, ennreal.top_to_real, div_zero,
ennreal.rpow_zero, mul_one, ennreal.coe_to_real, coe_nnnorm]
lemma norm_indicator_const_Lp' (hp_pos : p ≠ 0) (hμs_pos : μ s ≠ 0) :
∥indicator_const_Lp p hs hμs c∥ = ∥c∥ * (μ s).to_real ^ (1 / p.to_real) :=
begin
by_cases hp_top : p = ∞,
{ rw [hp_top, ennreal.top_to_real, div_zero, real.rpow_zero, mul_one],
exact norm_indicator_const_Lp_top hμs_pos, },
{ exact norm_indicator_const_Lp hp_pos hp_top, },
end
@[simp] lemma indicator_const_empty :
indicator_const_Lp p measurable_set.empty (by simp : μ ∅ ≠ ∞) c = 0 :=
begin
rw Lp.eq_zero_iff_ae_eq_zero,
convert indicator_const_Lp_coe_fn,
simp [set.indicator_empty'],
end
lemma mem_ℒp_add_of_disjoint {f g : α → E}
(h : disjoint (support f) (support g)) (hf : measurable f) (hg : measurable g) :
mem_ℒp (f + g) p μ ↔ mem_ℒp f p μ ∧ mem_ℒp g p μ :=
begin
refine ⟨λ hfg, ⟨_, _⟩, λ h, h.1.add h.2⟩,
{ rw ← indicator_add_eq_left h, exact hfg.indicator (measurable_set_support hf) },
{ rw ← indicator_add_eq_right h, exact hfg.indicator (measurable_set_support hg) }
end
/-- The indicator of a disjoint union of two sets is the sum of the indicators of the sets. -/
lemma indicator_const_Lp_disjoint_union {s t : set α} (hs : measurable_set s)
(ht : measurable_set t) (hμs : μ s ≠ ∞) (hμt : μ t ≠ ∞) (hst : s ∩ t = ∅) (c : E) :
(indicator_const_Lp p (hs.union ht) ((measure_union_le s t).trans_lt
(lt_top_iff_ne_top.mpr (ennreal.add_ne_top.mpr ⟨hμs, hμt⟩))).ne c)
= indicator_const_Lp p hs hμs c + indicator_const_Lp p ht hμt c :=
begin
ext1,
refine indicator_const_Lp_coe_fn.trans (eventually_eq.trans _ (Lp.coe_fn_add _ _).symm),
refine eventually_eq.trans _
(eventually_eq.add indicator_const_Lp_coe_fn.symm indicator_const_Lp_coe_fn.symm),
rw set.indicator_union_of_disjoint (set.disjoint_iff_inter_eq_empty.mpr hst) _,
end
end indicator_const_Lp
end measure_theory
open measure_theory
/-!
### Composition on `L^p`
We show that Lipschitz functions vanishing at zero act by composition on `L^p`, and specialize
this to the composition with continuous linear maps, and to the definition of the positive
part of an `L^p` function.
-/
section composition
variables [second_countable_topology E] [borel_space E]
[second_countable_topology F] [measurable_space F] [borel_space F]
{g : E → F} {c : ℝ≥0}
namespace lipschitz_with
lemma mem_ℒp_comp_iff_of_antilipschitz {α E F} {K K'} [measurable_space α] {μ : measure α}
[measurable_space E] [measurable_space F] [normed_group E] [normed_group F] [borel_space E]
[borel_space F] [complete_space E]
{f : α → E} {g : E → F} (hg : lipschitz_with K g) (hg' : antilipschitz_with K' g) (g0 : g 0 = 0) :
mem_ℒp (g ∘ f) p μ ↔ mem_ℒp f p μ :=
begin
have := ae_measurable_comp_iff_of_closed_embedding g (hg'.closed_embedding hg.uniform_continuous),
split,
{ assume H,
have A : ∀ᵐ x ∂μ, ∥f x∥ ≤ K' * ∥g (f x)∥,
{ apply filter.eventually_of_forall (λ x, _),
rw [← dist_zero_right, ← dist_zero_right, ← g0],
apply hg'.le_mul_dist },
exact H.of_le_mul (this.1 H.ae_measurable) A },
{ assume H,
have A : ∀ᵐ x ∂μ, ∥g (f x)∥ ≤ K * ∥f x∥,
{ apply filter.eventually_of_forall (λ x, _),
rw [← dist_zero_right, ← dist_zero_right, ← g0],
apply hg.dist_le_mul },
exact H.of_le_mul (this.2 H.ae_measurable) A }
end
/-- When `g` is a Lipschitz function sending `0` to `0` and `f` is in `Lp`, then `g ∘ f` is well
defined as an element of `Lp`. -/
def comp_Lp (hg : lipschitz_with c g) (g0 : g 0 = 0) (f : Lp E p μ) : Lp F p μ :=
⟨ae_eq_fun.comp g hg.continuous.measurable (f : α →ₘ[μ] E),
begin
suffices : ∀ᵐ x ∂μ, ∥ae_eq_fun.comp g hg.continuous.measurable (f : α →ₘ[μ] E) x∥ ≤ c * ∥f x∥,
{ exact Lp.mem_Lp_of_ae_le_mul this },
filter_upwards [ae_eq_fun.coe_fn_comp g hg.continuous.measurable (f : α →ₘ[μ] E)],
assume a ha,
simp only [ha],
rw [← dist_zero_right, ← dist_zero_right, ← g0],
exact hg.dist_le_mul (f a) 0,
end⟩
lemma coe_fn_comp_Lp (hg : lipschitz_with c g) (g0 : g 0 = 0) (f : Lp E p μ) :
hg.comp_Lp g0 f =ᵐ[μ] g ∘ f :=
ae_eq_fun.coe_fn_comp _ _ _
@[simp] lemma comp_Lp_zero (hg : lipschitz_with c g) (g0 : g 0 = 0) :
hg.comp_Lp g0 (0 : Lp E p μ) = 0 :=
begin
rw Lp.eq_zero_iff_ae_eq_zero,
apply (coe_fn_comp_Lp _ _ _).trans,
filter_upwards [Lp.coe_fn_zero E p μ],
assume a ha,
simp [ha, g0]
end
lemma norm_comp_Lp_sub_le (hg : lipschitz_with c g) (g0 : g 0 = 0) (f f' : Lp E p μ) :
∥hg.comp_Lp g0 f - hg.comp_Lp g0 f'∥ ≤ c * ∥f - f'∥ :=
begin
apply Lp.norm_le_mul_norm_of_ae_le_mul,
filter_upwards [hg.coe_fn_comp_Lp g0 f, hg.coe_fn_comp_Lp g0 f',
Lp.coe_fn_sub (hg.comp_Lp g0 f) (hg.comp_Lp g0 f'), Lp.coe_fn_sub f f'],
assume a ha1 ha2 ha3 ha4,
simp [ha1, ha2, ha3, ha4, ← dist_eq_norm],
exact hg.dist_le_mul (f a) (f' a)
end
lemma norm_comp_Lp_le (hg : lipschitz_with c g) (g0 : g 0 = 0) (f : Lp E p μ) :
∥hg.comp_Lp g0 f∥ ≤ c * ∥f∥ :=
by simpa using hg.norm_comp_Lp_sub_le g0 f 0
lemma lipschitz_with_comp_Lp [fact (1 ≤ p)] (hg : lipschitz_with c g) (g0 : g 0 = 0) :
lipschitz_with c (hg.comp_Lp g0 : Lp E p μ → Lp F p μ) :=
lipschitz_with.of_dist_le_mul $ λ f g, by simp [dist_eq_norm, norm_comp_Lp_sub_le]
lemma continuous_comp_Lp [fact (1 ≤ p)] (hg : lipschitz_with c g) (g0 : g 0 = 0) :
continuous (hg.comp_Lp g0 : Lp E p μ → Lp F p μ) :=
(lipschitz_with_comp_Lp hg g0).continuous
end lipschitz_with
namespace continuous_linear_map
variables {𝕜 : Type*} [nondiscrete_normed_field 𝕜] [normed_space 𝕜 E] [normed_space 𝕜 F]
/-- Composing `f : Lp ` with `L : E →L[𝕜] F`. -/
def comp_Lp (L : E →L[𝕜] F) (f : Lp E p μ) : Lp F p μ :=
L.lipschitz.comp_Lp (map_zero L) f
lemma coe_fn_comp_Lp (L : E →L[𝕜] F) (f : Lp E p μ) :
∀ᵐ a ∂μ, (L.comp_Lp f) a = L (f a) :=
lipschitz_with.coe_fn_comp_Lp _ _ _
lemma norm_comp_Lp_le (L : E →L[𝕜] F) (f : Lp E p μ) : ∥L.comp_Lp f∥ ≤ ∥L∥ * ∥f∥ :=
lipschitz_with.norm_comp_Lp_le _ _ _
variables (μ p) [measurable_space 𝕜] [opens_measurable_space 𝕜]
/-- Composing `f : Lp E p μ` with `L : E →L[𝕜] F`, seen as a `𝕜`-linear map on `Lp E p μ`. -/
def comp_Lpₗ (L : E →L[𝕜] F) : (Lp E p μ) →ₗ[𝕜] (Lp F p μ) :=
{ to_fun := λ f, L.comp_Lp f,
map_add' := begin
intros f g,
ext1,
filter_upwards [Lp.coe_fn_add f g, coe_fn_comp_Lp L (f + g), coe_fn_comp_Lp L f,
coe_fn_comp_Lp L g, Lp.coe_fn_add (L.comp_Lp f) (L.comp_Lp g)],
assume a ha1 ha2 ha3 ha4 ha5,
simp only [ha1, ha2, ha3, ha4, ha5, map_add, pi.add_apply],
end,
map_smul' := begin
intros c f,
ext1,
filter_upwards [Lp.coe_fn_smul c f, coe_fn_comp_Lp L (c • f), Lp.coe_fn_smul c (L.comp_Lp f),
coe_fn_comp_Lp L f],
assume a ha1 ha2 ha3 ha4,
simp only [ha1, ha2, ha3, ha4, map_smul, pi.smul_apply],
end }
/-- Composing `f : Lp E p μ` with `L : E →L[𝕜] F`, seen as a continuous `𝕜`-linear map on
`Lp E p μ`. See also the similar
* `linear_map.comp_left` for functions,
* `continuous_linear_map.comp_left_continuous` for continuous functions,
* `continuous_linear_map.comp_left_continuous_bounded` for bounded continuous functions,
* `continuous_linear_map.comp_left_continuous_compact` for continuous functions on compact spaces.
-/
def comp_LpL [fact (1 ≤ p)] (L : E →L[𝕜] F) : (Lp E p μ) →L[𝕜] (Lp F p μ) :=
linear_map.mk_continuous (L.comp_Lpₗ p μ) ∥L∥ L.norm_comp_Lp_le
lemma norm_compLpL_le [fact (1 ≤ p)] (L : E →L[𝕜] F) :
∥L.comp_LpL p μ∥ ≤ ∥L∥ :=
linear_map.mk_continuous_norm_le _ (norm_nonneg _) _
end continuous_linear_map
namespace measure_theory
namespace Lp
section pos_part
lemma lipschitz_with_pos_part : lipschitz_with 1 (λ (x : ℝ), max x 0) :=
lipschitz_with.of_dist_le_mul $ λ x y, by simp [dist, abs_max_sub_max_le_abs]
/-- Positive part of a function in `L^p`. -/
def pos_part (f : Lp ℝ p μ) : Lp ℝ p μ :=
lipschitz_with_pos_part.comp_Lp (max_eq_right (le_refl _)) f
/-- Negative part of a function in `L^p`. -/
def neg_part (f : Lp ℝ p μ) : Lp ℝ p μ := pos_part (-f)
@[norm_cast]
lemma coe_pos_part (f : Lp ℝ p μ) : (pos_part f : α →ₘ[μ] ℝ) = (f : α →ₘ[μ] ℝ).pos_part := rfl
lemma coe_fn_pos_part (f : Lp ℝ p μ) : ⇑(pos_part f) =ᵐ[μ] λ a, max (f a) 0 :=
ae_eq_fun.coe_fn_pos_part _
lemma coe_fn_neg_part_eq_max (f : Lp ℝ p μ) : ∀ᵐ a ∂μ, neg_part f a = max (- f a) 0 :=
begin
rw neg_part,
filter_upwards [coe_fn_pos_part (-f), coe_fn_neg f],
assume a h₁ h₂,
rw [h₁, h₂, pi.neg_apply]
end
lemma coe_fn_neg_part (f : Lp ℝ p μ) : ∀ᵐ a ∂μ, neg_part f a = - min (f a) 0 :=
(coe_fn_neg_part_eq_max f).mono $ assume a h,
by rw [h, ← max_neg_neg, neg_zero]
lemma continuous_pos_part [fact (1 ≤ p)] : continuous (λf : Lp ℝ p μ, pos_part f) :=
lipschitz_with.continuous_comp_Lp _ _
lemma continuous_neg_part [fact (1 ≤ p)] : continuous (λf : Lp ℝ p μ, neg_part f) :=
have eq : (λf : Lp ℝ p μ, neg_part f) = (λf : Lp ℝ p μ, pos_part (-f)) := rfl,
by { rw eq, exact continuous_pos_part.comp continuous_neg }
end pos_part
end Lp
end measure_theory
end composition
/-!
## `L^p` is a complete space
We show that `L^p` is a complete space for `1 ≤ p`.
-/
section complete_space
variables [borel_space E] [second_countable_topology E]
namespace measure_theory
namespace Lp
lemma snorm'_lim_eq_lintegral_liminf {ι} [nonempty ι] [linear_order ι] {f : ι → α → G} {p : ℝ}
(hp_nonneg : 0 ≤ p) {f_lim : α → G}
(h_lim : ∀ᵐ (x : α) ∂μ, tendsto (λ n, f n x) at_top (𝓝 (f_lim x))) :
snorm' f_lim p μ = (∫⁻ a, at_top.liminf (λ m, (nnnorm (f m a) : ℝ≥0∞)^p) ∂μ) ^ (1/p) :=
begin
suffices h_no_pow : (∫⁻ a, (nnnorm (f_lim a)) ^ p ∂μ)
= (∫⁻ a, at_top.liminf (λ m, (nnnorm (f m a) : ℝ≥0∞)^p) ∂μ),
{ rw [snorm', h_no_pow], },
refine lintegral_congr_ae (h_lim.mono (λ a ha, _)),
rw tendsto.liminf_eq,
simp_rw [ennreal.coe_rpow_of_nonneg _ hp_nonneg, ennreal.tendsto_coe],
refine ((nnreal.continuous_rpow_const hp_nonneg).tendsto (nnnorm (f_lim a))).comp _,
exact (continuous_nnnorm.tendsto (f_lim a)).comp ha,
end
lemma snorm'_lim_le_liminf_snorm' {E} [measurable_space E]
[normed_group E] [borel_space E] {f : ℕ → α → E} {p : ℝ} (hp_pos : 0 < p)
(hf : ∀ n, ae_measurable (f n) μ) {f_lim : α → E}
(h_lim : ∀ᵐ (x : α) ∂μ, tendsto (λ n, f n x) at_top (𝓝 (f_lim x))) :
snorm' f_lim p μ ≤ at_top.liminf (λ n, snorm' (f n) p μ) :=
begin
rw snorm'_lim_eq_lintegral_liminf hp_pos.le h_lim,
rw [←ennreal.le_rpow_one_div_iff (by simp [hp_pos] : 0 < 1 / p), one_div_one_div],
refine (lintegral_liminf_le' (λ m, ((hf m).ennnorm.pow_const _))).trans_eq _,
have h_pow_liminf : at_top.liminf (λ n, snorm' (f n) p μ) ^ p
= at_top.liminf (λ n, (snorm' (f n) p μ) ^ p),
{ have h_rpow_mono := ennreal.rpow_left_strict_mono_of_pos hp_pos,
have h_rpow_surj := (ennreal.rpow_left_bijective hp_pos.ne.symm).2,
refine (h_rpow_mono.order_iso_of_surjective _ h_rpow_surj).liminf_apply _ _ _ _,
all_goals { is_bounded_default }, },
rw h_pow_liminf,
simp_rw [snorm', ← ennreal.rpow_mul, one_div, inv_mul_cancel hp_pos.ne.symm, ennreal.rpow_one],
end
lemma snorm_exponent_top_lim_eq_ess_sup_liminf {ι} [nonempty ι] [linear_order ι] {f : ι → α → G}
{f_lim : α → G}
(h_lim : ∀ᵐ (x : α) ∂μ, tendsto (λ n, f n x) at_top (𝓝 (f_lim x))) :
snorm f_lim ∞ μ = ess_sup (λ x, at_top.liminf (λ m, (nnnorm (f m x) : ℝ≥0∞))) μ :=
begin
rw [snorm_exponent_top, snorm_ess_sup],
refine ess_sup_congr_ae (h_lim.mono (λ x hx, _)),
rw tendsto.liminf_eq,
rw ennreal.tendsto_coe,
exact (continuous_nnnorm.tendsto (f_lim x)).comp hx,
end
lemma snorm_exponent_top_lim_le_liminf_snorm_exponent_top {ι} [nonempty ι] [encodable ι]
[linear_order ι] {f : ι → α → F} {f_lim : α → F}
(h_lim : ∀ᵐ (x : α) ∂μ, tendsto (λ n, f n x) at_top (𝓝 (f_lim x))) :
snorm f_lim ∞ μ ≤ at_top.liminf (λ n, snorm (f n) ∞ μ) :=
begin
rw snorm_exponent_top_lim_eq_ess_sup_liminf h_lim,
simp_rw [snorm_exponent_top, snorm_ess_sup],
exact ennreal.ess_sup_liminf_le (λ n, (λ x, (nnnorm (f n x) : ℝ≥0∞))),
end
lemma snorm_lim_le_liminf_snorm {E} [measurable_space E] [normed_group E] [borel_space E]
{f : ℕ → α → E} (hf : ∀ n, ae_measurable (f n) μ) (f_lim : α → E)
(h_lim : ∀ᵐ (x : α) ∂μ, tendsto (λ n, f n x) at_top (𝓝 (f_lim x))) :
snorm f_lim p μ ≤ at_top.liminf (λ n, snorm (f n) p μ) :=
begin
by_cases hp0 : p = 0,
{ simp [hp0], },
rw ← ne.def at hp0,
by_cases hp_top : p = ∞,
{ simp_rw [hp_top],
exact snorm_exponent_top_lim_le_liminf_snorm_exponent_top h_lim, },
simp_rw snorm_eq_snorm' hp0 hp_top,
have hp_pos : 0 < p.to_real,
from ennreal.to_real_pos_iff.mpr ⟨lt_of_le_of_ne (zero_le _) hp0.symm, hp_top⟩,
exact snorm'_lim_le_liminf_snorm' hp_pos hf h_lim,
end
/-! ### `Lp` is complete iff Cauchy sequences of `ℒp` have limits in `ℒp` -/
lemma tendsto_Lp_iff_tendsto_ℒp' {ι} {fi : filter ι} [fact (1 ≤ p)]
(f : ι → Lp E p μ) (f_lim : Lp E p μ) :
fi.tendsto f (𝓝 f_lim) ↔ fi.tendsto (λ n, snorm (f n - f_lim) p μ) (𝓝 0) :=
begin
rw tendsto_iff_dist_tendsto_zero,
simp_rw dist_def,
rw [← ennreal.zero_to_real, ennreal.tendsto_to_real_iff (λ n, _) ennreal.zero_ne_top],
rw snorm_congr_ae (Lp.coe_fn_sub _ _).symm,
exact Lp.snorm_ne_top _,
end
lemma tendsto_Lp_iff_tendsto_ℒp {ι} {fi : filter ι} [fact (1 ≤ p)]
(f : ι → Lp E p μ) (f_lim : α → E) (f_lim_ℒp : mem_ℒp f_lim p μ) :
fi.tendsto f (𝓝 (f_lim_ℒp.to_Lp f_lim)) ↔ fi.tendsto (λ n, snorm (f n - f_lim) p μ) (𝓝 0) :=
begin
rw tendsto_Lp_iff_tendsto_ℒp',
suffices h_eq : (λ n, snorm (f n - mem_ℒp.to_Lp f_lim f_lim_ℒp) p μ)
= (λ n, snorm (f n - f_lim) p μ),
by rw h_eq,
exact funext (λ n, snorm_congr_ae (eventually_eq.rfl.sub (mem_ℒp.coe_fn_to_Lp f_lim_ℒp))),
end
lemma tendsto_Lp_iff_tendsto_ℒp'' {ι} {fi : filter ι} [fact (1 ≤ p)]
(f : ι → α → E) (f_ℒp : ∀ n, mem_ℒp (f n) p μ) (f_lim : α → E) (f_lim_ℒp : mem_ℒp f_lim p μ) :
fi.tendsto (λ n, (f_ℒp n).to_Lp (f n)) (𝓝 (f_lim_ℒp.to_Lp f_lim))
↔ fi.tendsto (λ n, snorm (f n - f_lim) p μ) (𝓝 0) :=
begin
convert Lp.tendsto_Lp_iff_tendsto_ℒp' _ _,
ext1 n,
apply snorm_congr_ae,
filter_upwards [((f_ℒp n).sub f_lim_ℒp).coe_fn_to_Lp,
Lp.coe_fn_sub ((f_ℒp n).to_Lp (f n)) (f_lim_ℒp.to_Lp f_lim)],
intros x hx₁ hx₂,
rw ← hx₂,
exact hx₁.symm
end
lemma tendsto_Lp_of_tendsto_ℒp {ι} {fi : filter ι} [hp : fact (1 ≤ p)]
{f : ι → Lp E p μ} (f_lim : α → E) (f_lim_ℒp : mem_ℒp f_lim p μ)
(h_tendsto : fi.tendsto (λ n, snorm (f n - f_lim) p μ) (𝓝 0)) :
fi.tendsto f (𝓝 (f_lim_ℒp.to_Lp f_lim)) :=
(tendsto_Lp_iff_tendsto_ℒp f f_lim f_lim_ℒp).mpr h_tendsto
lemma cauchy_seq_Lp_iff_cauchy_seq_ℒp {ι} [nonempty ι] [semilattice_sup ι] [hp : fact (1 ≤ p)]
(f : ι → Lp E p μ) :
cauchy_seq f ↔ tendsto (λ (n : ι × ι), snorm (f n.fst - f n.snd) p μ) at_top (𝓝 0) :=
begin
simp_rw [cauchy_seq_iff_tendsto_dist_at_top_0, dist_def],
rw [← ennreal.zero_to_real, ennreal.tendsto_to_real_iff (λ n, _) ennreal.zero_ne_top],
rw snorm_congr_ae (Lp.coe_fn_sub _ _).symm,
exact snorm_ne_top _,
end
lemma complete_space_Lp_of_cauchy_complete_ℒp [hp : fact (1 ≤ p)]
(H : ∀ (f : ℕ → α → E) (hf : ∀ n, mem_ℒp (f n) p μ) (B : ℕ → ℝ≥0∞) (hB : ∑' i, B i < ∞)
(h_cau : ∀ (N n m : ℕ), N ≤ n → N ≤ m → snorm (f n - f m) p μ < B N),
∃ (f_lim : α → E) (hf_lim_meas : mem_ℒp f_lim p μ),
at_top.tendsto (λ n, snorm (f n - f_lim) p μ) (𝓝 0)) :
complete_space (Lp E p μ) :=
begin
let B := λ n : ℕ, ((1:ℝ) / 2) ^ n,
have hB_pos : ∀ n, 0 < B n, from λ n, pow_pos (div_pos zero_lt_one zero_lt_two) n,
refine metric.complete_of_convergent_controlled_sequences B hB_pos (λ f hf, _),
suffices h_limit : ∃ (f_lim : α → E) (hf_lim_meas : mem_ℒp f_lim p μ),
at_top.tendsto (λ n, snorm (f n - f_lim) p μ) (𝓝 0),
{ rcases h_limit with ⟨f_lim, hf_lim_meas, h_tendsto⟩,
exact ⟨hf_lim_meas.to_Lp f_lim, tendsto_Lp_of_tendsto_ℒp f_lim hf_lim_meas h_tendsto⟩, },
have hB : summable B, from summable_geometric_two,
cases hB with M hB,
let B1 := λ n, ennreal.of_real (B n),
have hB1_has : has_sum B1 (ennreal.of_real M),
{ have h_tsum_B1 : ∑' i, B1 i = (ennreal.of_real M),
{ change (∑' (n : ℕ), ennreal.of_real (B n)) = ennreal.of_real M,
rw ←hB.tsum_eq,
exact (ennreal.of_real_tsum_of_nonneg (λ n, le_of_lt (hB_pos n)) hB.summable).symm, },
have h_sum := (@ennreal.summable _ B1).has_sum,
rwa h_tsum_B1 at h_sum, },
have hB1 : ∑' i, B1 i < ∞, by {rw hB1_has.tsum_eq, exact ennreal.of_real_lt_top, },
let f1 : ℕ → α → E := λ n, f n,
refine H f1 (λ n, Lp.mem_ℒp (f n)) B1 hB1 (λ N n m hn hm, _),
specialize hf N n m hn hm,
rw dist_def at hf,
simp_rw [f1, B1],
rwa ennreal.lt_of_real_iff_to_real_lt,
rw snorm_congr_ae (Lp.coe_fn_sub _ _).symm,
exact Lp.snorm_ne_top _,
end
/-! ### Prove that controlled Cauchy sequences of `ℒp` have limits in `ℒp` -/
private lemma snorm'_sum_norm_sub_le_tsum_of_cauchy_snorm' {f : ℕ → α → E}
(hf : ∀ n, ae_measurable (f n) μ) {p : ℝ} (hp1 : 1 ≤ p)
{B : ℕ → ℝ≥0∞} (h_cau : ∀ (N n m : ℕ), N ≤ n → N ≤ m → snorm' (f n - f m) p μ < B N) (n : ℕ) :
snorm' (λ x, ∑ i in finset.range (n + 1), norm (f (i + 1) x - f i x)) p μ ≤ ∑' i, B i :=
begin
let f_norm_diff := λ i x, norm (f (i + 1) x - f i x),
have hgf_norm_diff : ∀ n, (λ x, ∑ i in finset.range (n + 1), norm (f (i + 1) x - f i x))
= ∑ i in finset.range (n + 1), f_norm_diff i,
from λ n, funext (λ x, by simp [f_norm_diff]),
rw hgf_norm_diff,
refine (snorm'_sum_le (λ i _, ((hf (i+1)).sub (hf i)).norm) hp1).trans _,
simp_rw [←pi.sub_apply, snorm'_norm],
refine (finset.sum_le_sum _).trans (sum_le_tsum _ (λ m _, zero_le _) ennreal.summable),
exact λ m _, (h_cau m (m + 1) m (nat.le_succ m) (le_refl m)).le,
end
private lemma lintegral_rpow_sum_coe_nnnorm_sub_le_rpow_tsum {f : ℕ → α → E}
(hf : ∀ n, ae_measurable (f n) μ) {p : ℝ} (hp1 : 1 ≤ p) {B : ℕ → ℝ≥0∞} (n : ℕ)
(hn : snorm' (λ x, ∑ i in finset.range (n + 1), norm (f (i + 1) x - f i x)) p μ ≤ ∑' i, B i) :
∫⁻ a, (∑ i in finset.range (n + 1), nnnorm (f (i + 1) a - f i a) : ℝ≥0∞)^p ∂μ
≤ (∑' i, B i) ^ p :=
begin
have hp_pos : 0 < p := zero_lt_one.trans_le hp1,
rw [←one_div_one_div p, @ennreal.le_rpow_one_div_iff _ _ (1/p) (by simp [hp_pos]),
one_div_one_div p],
simp_rw snorm' at hn,
have h_nnnorm_nonneg :
(λ a, (nnnorm (∑ i in finset.range (n + 1), ∥f (i + 1) a - f i a∥) : ℝ≥0∞) ^ p)
= λ a, (∑ i in finset.range (n + 1), (nnnorm(f (i + 1) a - f i a) : ℝ≥0∞)) ^ p,
{ ext1 a,
congr,
simp_rw ←of_real_norm_eq_coe_nnnorm,
rw ←ennreal.of_real_sum_of_nonneg,
{ rw real.norm_of_nonneg _,
exact finset.sum_nonneg (λ x hx, norm_nonneg _), },
{ exact λ x hx, norm_nonneg _, }, },
change (∫⁻ a, (λ x, ↑(nnnorm (∑ i in finset.range (n + 1), ∥f (i+1) x - f i x∥))^p) a ∂μ)^(1/p)
≤ ∑' i, B i at hn,
rwa h_nnnorm_nonneg at hn,
end
private lemma lintegral_rpow_tsum_coe_nnnorm_sub_le_tsum {f : ℕ → α → E}
(hf : ∀ n, ae_measurable (f n) μ) {p : ℝ} (hp1 : 1 ≤ p) {B : ℕ → ℝ≥0∞}
(h : ∀ n, ∫⁻ a, (∑ i in finset.range (n + 1), nnnorm (f (i + 1) a - f i a) : ℝ≥0∞)^p ∂μ
≤ (∑' i, B i) ^ p) :
(∫⁻ a, (∑' i, nnnorm (f (i + 1) a - f i a) : ℝ≥0∞)^p ∂μ) ^ (1/p) ≤ ∑' i, B i :=
begin
have hp_pos : 0 < p := zero_lt_one.trans_le hp1,
suffices h_pow : ∫⁻ a, (∑' i, nnnorm (f (i + 1) a - f i a) : ℝ≥0∞)^p ∂μ ≤ (∑' i, B i) ^ p,
by rwa [←ennreal.le_rpow_one_div_iff (by simp [hp_pos] : 0 < 1 / p), one_div_one_div],
have h_tsum_1 : ∀ g : ℕ → ℝ≥0∞,
∑' i, g i = at_top.liminf (λ n, ∑ i in finset.range (n + 1), g i),
by { intro g, rw [ennreal.tsum_eq_liminf_sum_nat, ← liminf_nat_add _ 1], },
simp_rw h_tsum_1 _,
rw ← h_tsum_1,
have h_liminf_pow : ∫⁻ a, at_top.liminf (λ n, ∑ i in finset.range (n + 1),
(nnnorm (f (i + 1) a - f i a)))^p ∂μ
= ∫⁻ a, at_top.liminf (λ n, (∑ i in finset.range (n + 1), (nnnorm (f (i + 1) a - f i a)))^p) ∂μ,
{ refine lintegral_congr (λ x, _),
have h_rpow_mono := ennreal.rpow_left_strict_mono_of_pos (zero_lt_one.trans_le hp1),
have h_rpow_surj := (ennreal.rpow_left_bijective hp_pos.ne.symm).2,
refine (h_rpow_mono.order_iso_of_surjective _ h_rpow_surj).liminf_apply _ _ _ _,
all_goals { is_bounded_default }, },
rw h_liminf_pow,
refine (lintegral_liminf_le' _).trans _,
{ exact λ n, (finset.ae_measurable_sum (finset.range (n+1))
(λ i _, ((hf (i+1)).sub (hf i)).ennnorm)).pow_const _, },
{ exact liminf_le_of_frequently_le' (frequently_of_forall h), },
end
private lemma tsum_nnnorm_sub_ae_lt_top
{f : ℕ → α → E} (hf : ∀ n, ae_measurable (f n) μ) {p : ℝ} (hp1 : 1 ≤ p) {B : ℕ → ℝ≥0∞}
(hB : ∑' i, B i < ∞)
(h : (∫⁻ a, (∑' i, nnnorm (f (i + 1) a - f i a) : ℝ≥0∞)^p ∂μ) ^ (1/p) ≤ ∑' i, B i) :
∀ᵐ x ∂μ, (∑' i, nnnorm (f (i + 1) x - f i x) : ℝ≥0∞) < ∞ :=
begin
have hp_pos : 0 < p := zero_lt_one.trans_le hp1,
have h_integral : ∫⁻ a, (∑' i, nnnorm (f (i + 1) a - f i a) : ℝ≥0∞)^p ∂μ < ∞,
{ have h_tsum_lt_top : (∑' i, B i) ^ p < ∞,
from ennreal.rpow_lt_top_of_nonneg hp_pos.le (lt_top_iff_ne_top.mp hB),
refine lt_of_le_of_lt _ h_tsum_lt_top,
rwa [←ennreal.le_rpow_one_div_iff (by simp [hp_pos] : 0 < 1 / p), one_div_one_div] at h, },
have rpow_ae_lt_top : ∀ᵐ x ∂μ, (∑' i, nnnorm (f (i + 1) x - f i x) : ℝ≥0∞)^p < ∞,
{ refine ae_lt_top' (ae_measurable.pow_const _ _) h_integral,
exact ae_measurable.ennreal_tsum (λ n, ((hf (n+1)).sub (hf n)).ennnorm), },
refine rpow_ae_lt_top.mono (λ x hx, _),
rwa [←ennreal.lt_rpow_one_div_iff hp_pos,
ennreal.top_rpow_of_pos (by simp [hp_pos] : 0 < 1 / p)] at hx,
end
lemma ae_tendsto_of_cauchy_snorm' [complete_space E] {f : ℕ → α → E} {p : ℝ}
(hf : ∀ n, ae_measurable (f n) μ) (hp1 : 1 ≤ p) {B : ℕ → ℝ≥0∞} (hB : ∑' i, B i < ∞)
(h_cau : ∀ (N n m : ℕ), N ≤ n → N ≤ m → snorm' (f n - f m) p μ < B N) :
∀ᵐ x ∂μ, ∃ l : E, at_top.tendsto (λ n, f n x) (𝓝 l) :=
begin
have h_summable : ∀ᵐ x ∂μ, summable (λ (i : ℕ), f (i + 1) x - f i x),
{ have h1 : ∀ n, snorm' (λ x, ∑ i in finset.range (n + 1), norm (f (i + 1) x - f i x)) p μ
≤ ∑' i, B i,
from snorm'_sum_norm_sub_le_tsum_of_cauchy_snorm' hf hp1 h_cau,
have h2 : ∀ n, ∫⁻ a, (∑ i in finset.range (n + 1), nnnorm (f (i + 1) a - f i a) : ℝ≥0∞)^p ∂μ
≤ (∑' i, B i) ^ p,
from λ n, lintegral_rpow_sum_coe_nnnorm_sub_le_rpow_tsum hf hp1 n (h1 n),
have h3 : (∫⁻ a, (∑' i, nnnorm (f (i + 1) a - f i a) : ℝ≥0∞)^p ∂μ) ^ (1/p) ≤ ∑' i, B i,
from lintegral_rpow_tsum_coe_nnnorm_sub_le_tsum hf hp1 h2,
have h4 : ∀ᵐ x ∂μ, (∑' i, nnnorm (f (i + 1) x - f i x) : ℝ≥0∞) < ∞,
from tsum_nnnorm_sub_ae_lt_top hf hp1 hB h3,
exact h4.mono (λ x hx, summable_of_summable_nnnorm
(ennreal.tsum_coe_ne_top_iff_summable.mp (lt_top_iff_ne_top.mp hx))), },
have h : ∀ᵐ x ∂μ, ∃ l : E,
at_top.tendsto (λ n, ∑ i in finset.range n, (f (i + 1) x - f i x)) (𝓝 l),
{ refine h_summable.mono (λ x hx, _),
let hx_sum := hx.has_sum.tendsto_sum_nat,
exact ⟨∑' i, (f (i + 1) x - f i x), hx_sum⟩, },
refine h.mono (λ x hx, _),
cases hx with l hx,
have h_rw_sum : (λ n, ∑ i in finset.range n, (f (i + 1) x - f i x)) = λ n, f n x - f 0 x,
{ ext1 n,
change ∑ (i : ℕ) in finset.range n, ((λ m, f m x) (i + 1) - (λ m, f m x) i) = f n x - f 0 x,
rw finset.sum_range_sub, },
rw h_rw_sum at hx,
have hf_rw : (λ n, f n x) = λ n, f n x - f 0 x + f 0 x, by { ext1 n, abel, },
rw hf_rw,
exact ⟨l + f 0 x, tendsto.add_const _ hx⟩,
end
lemma ae_tendsto_of_cauchy_snorm [complete_space E] {f : ℕ → α → E}
(hf : ∀ n, ae_measurable (f n) μ) (hp : 1 ≤ p) {B : ℕ → ℝ≥0∞} (hB : ∑' i, B i < ∞)
(h_cau : ∀ (N n m : ℕ), N ≤ n → N ≤ m → snorm (f n - f m) p μ < B N) :
∀ᵐ x ∂μ, ∃ l : E, at_top.tendsto (λ n, f n x) (𝓝 l) :=
begin
by_cases hp_top : p = ∞,
{ simp_rw [hp_top] at *,
have h_cau_ae : ∀ᵐ x ∂μ, ∀ N n m, N ≤ n → N ≤ m → (nnnorm ((f n - f m) x) : ℝ≥0∞) < B N,
{ simp_rw [ae_all_iff, ae_imp_iff],
exact λ N n m hnN hmN, ae_lt_of_ess_sup_lt (h_cau N n m hnN hmN), },
simp_rw [snorm_exponent_top, snorm_ess_sup] at h_cau,
refine h_cau_ae.mono (λ x hx, cauchy_seq_tendsto_of_complete _),
refine cauchy_seq_of_le_tendsto_0 (λ n, (B n).to_real) _ _,
{ intros n m N hnN hmN,
specialize hx N n m hnN hmN,
rw [dist_eq_norm, ←ennreal.to_real_of_real (norm_nonneg _),
ennreal.to_real_le_to_real ennreal.of_real_ne_top
((ennreal.ne_top_of_tsum_ne_top (lt_top_iff_ne_top.mp hB)) N)],
rw ←of_real_norm_eq_coe_nnnorm at hx,
exact hx.le, },
{ rw ← ennreal.zero_to_real,
exact tendsto.comp (ennreal.tendsto_to_real ennreal.zero_ne_top)
(ennreal.tendsto_at_top_zero_of_tsum_lt_top hB), }, },
have hp1 : 1 ≤ p.to_real,
{ rw [← ennreal.of_real_le_iff_le_to_real hp_top, ennreal.of_real_one],
exact hp, },
have h_cau' : ∀ (N n m : ℕ), N ≤ n → N ≤ m → snorm' (f n - f m) (p.to_real) μ < B N,
{ intros N n m hn hm,
specialize h_cau N n m hn hm,
rwa snorm_eq_snorm' (ennreal.zero_lt_one.trans_le hp).ne.symm hp_top at h_cau, },
exact ae_tendsto_of_cauchy_snorm' hf hp1 hB h_cau',
end
lemma cauchy_tendsto_of_tendsto {f : ℕ → α → E} (hf : ∀ n, ae_measurable (f n) μ)
(f_lim : α → E) {B : ℕ → ℝ≥0∞}
(hB : ∑' i, B i < ∞) (h_cau : ∀ (N n m : ℕ), N ≤ n → N ≤ m → snorm (f n - f m) p μ < B N)
(h_lim : ∀ᵐ (x : α) ∂μ, tendsto (λ n, f n x) at_top (𝓝 (f_lim x))) :
at_top.tendsto (λ n, snorm (f n - f_lim) p μ) (𝓝 0) :=
begin
rw ennreal.tendsto_at_top_zero,
intros ε hε,
have h_B : ∃ (N : ℕ), B N ≤ ε,
{ suffices h_tendsto_zero : ∃ (N : ℕ), ∀ n : ℕ, N ≤ n → B n ≤ ε,
from ⟨h_tendsto_zero.some, h_tendsto_zero.some_spec _ (le_refl _)⟩,
exact (ennreal.tendsto_at_top_zero.mp (ennreal.tendsto_at_top_zero_of_tsum_lt_top hB))
ε hε, },
cases h_B with N h_B,
refine ⟨N, λ n hn, _⟩,
have h_sub : snorm (f n - f_lim) p μ ≤ at_top.liminf (λ m, snorm (f n - f m) p μ),
{ refine snorm_lim_le_liminf_snorm (λ m, (hf n).sub (hf m)) (f n - f_lim) _,
refine h_lim.mono (λ x hx, _),
simp_rw sub_eq_add_neg,
exact tendsto.add tendsto_const_nhds (tendsto.neg hx), },
refine h_sub.trans _,
refine liminf_le_of_frequently_le' (frequently_at_top.mpr _),
refine λ N1, ⟨max N N1, le_max_right _ _, _⟩,
exact (h_cau N n (max N N1) hn (le_max_left _ _)).le.trans h_B,
end
lemma mem_ℒp_of_cauchy_tendsto (hp : 1 ≤ p) {f : ℕ → α → E} (hf : ∀ n, mem_ℒp (f n) p μ)
(f_lim : α → E) (h_lim_meas : ae_measurable f_lim μ)
(h_tendsto : at_top.tendsto (λ n, snorm (f n - f_lim) p μ) (𝓝 0)) :
mem_ℒp f_lim p μ :=
begin
refine ⟨h_lim_meas, _⟩,
rw ennreal.tendsto_at_top_zero at h_tendsto,
cases (h_tendsto 1 ennreal.zero_lt_one) with N h_tendsto_1,
specialize h_tendsto_1 N (le_refl N),
have h_add : f_lim = f_lim - f N + f N, by abel,
rw h_add,
refine lt_of_le_of_lt (snorm_add_le (h_lim_meas.sub (hf N).1) (hf N).1 hp) _,
rw ennreal.add_lt_top,
split,
{ refine lt_of_le_of_lt _ ennreal.one_lt_top,
have h_neg : f_lim - f N = -(f N - f_lim), by simp,
rwa [h_neg, snorm_neg], },
{ exact (hf N).2, },
end
lemma cauchy_complete_ℒp [complete_space E] (hp : 1 ≤ p)
{f : ℕ → α → E} (hf : ∀ n, mem_ℒp (f n) p μ) {B : ℕ → ℝ≥0∞} (hB : ∑' i, B i < ∞)
(h_cau : ∀ (N n m : ℕ), N ≤ n → N ≤ m → snorm (f n - f m) p μ < B N) :
∃ (f_lim : α → E) (hf_lim_meas : mem_ℒp f_lim p μ),
at_top.tendsto (λ n, snorm (f n - f_lim) p μ) (𝓝 0) :=
begin
obtain ⟨f_lim, h_f_lim_meas, h_lim⟩ : ∃ (f_lim : α → E) (hf_lim_meas : measurable f_lim),
∀ᵐ x ∂μ, tendsto (λ n, f n x) at_top (nhds (f_lim x)),
from measurable_limit_of_tendsto_metric_ae (λ n, (hf n).1)
(ae_tendsto_of_cauchy_snorm (λ n, (hf n).1) hp hB h_cau),
have h_tendsto' : at_top.tendsto (λ n, snorm (f n - f_lim) p μ) (𝓝 0),
from cauchy_tendsto_of_tendsto (λ m, (hf m).1) f_lim hB h_cau h_lim,
have h_ℒp_lim : mem_ℒp f_lim p μ,
from mem_ℒp_of_cauchy_tendsto hp hf f_lim h_f_lim_meas.ae_measurable h_tendsto',
exact ⟨f_lim, h_ℒp_lim, h_tendsto'⟩,
end
/-! ### `Lp` is complete for `1 ≤ p` -/
instance [complete_space E] [hp : fact (1 ≤ p)] : complete_space (Lp E p μ) :=
complete_space_Lp_of_cauchy_complete_ℒp (λ f hf B hB h_cau, cauchy_complete_ℒp hp.elim hf hB h_cau)
end Lp
end measure_theory
end complete_space
/-! ### Continuous functions in `Lp` -/
open_locale bounded_continuous_function
open bounded_continuous_function
variables [borel_space E] [second_countable_topology E] [topological_space α] [borel_space α]
variables (E p μ)
/-- An additive subgroup of `Lp E p μ`, consisting of the equivalence classes which contain a
bounded continuous representative. -/
def measure_theory.Lp.bounded_continuous_function : add_subgroup (Lp E p μ) :=
add_subgroup.add_subgroup_of
((continuous_map.to_ae_eq_fun_add_hom μ).comp (forget_boundedness_add_hom α E)).range
(Lp E p μ)
variables {E p μ}
/-- By definition, the elements of `Lp.bounded_continuous_function E p μ` are the elements of
`Lp E p μ` which contain a bounded continuous representative. -/
lemma measure_theory.Lp.mem_bounded_continuous_function_iff {f : (Lp E p μ)} :
f ∈ measure_theory.Lp.bounded_continuous_function E p μ
↔ ∃ f₀ : (α →ᵇ E), f₀.to_continuous_map.to_ae_eq_fun μ = (f : α →ₘ[μ] E) :=
add_subgroup.mem_add_subgroup_of
namespace bounded_continuous_function
variables [finite_measure μ]
/-- A bounded continuous function on a finite-measure space is in `Lp`. -/
lemma mem_Lp (f : α →ᵇ E) :
f.to_continuous_map.to_ae_eq_fun μ ∈ Lp E p μ :=
begin
refine Lp.mem_Lp_of_ae_bound (∥f∥) _,
filter_upwards [f.to_continuous_map.coe_fn_to_ae_eq_fun μ],
intros x hx,
convert f.norm_coe_le_norm x
end
/-- The `Lp`-norm of a bounded continuous function is at most a constant (depending on the measure
of the whole space) times its sup-norm. -/
lemma Lp_norm_le (f : α →ᵇ E) :
∥(⟨f.to_continuous_map.to_ae_eq_fun μ, mem_Lp f⟩ : Lp E p μ)∥
≤ (measure_univ_nnreal μ) ^ (p.to_real)⁻¹ * ∥f∥ :=
begin
apply Lp.norm_le_of_ae_bound (norm_nonneg f),
{ refine (f.to_continuous_map.coe_fn_to_ae_eq_fun μ).mono _,
intros x hx,
convert f.norm_coe_le_norm x },
{ apply_instance }
end
variables (p μ)
/-- The normed group homomorphism of considering a bounded continuous function on a finite-measure
space as an element of `Lp`. -/
def to_Lp_hom [fact (1 ≤ p)] : normed_group_hom (α →ᵇ E) (Lp E p μ) :=
{ bound' := ⟨_, Lp_norm_le⟩,
.. add_monoid_hom.cod_restrict
((continuous_map.to_ae_eq_fun_add_hom μ).comp (forget_boundedness_add_hom α E))
(Lp E p μ)
mem_Lp }
lemma range_to_Lp_hom [fact (1 ≤ p)] :
((to_Lp_hom p μ).range : add_subgroup (Lp E p μ))
= measure_theory.Lp.bounded_continuous_function E p μ :=
begin
symmetry,
convert add_monoid_hom.add_subgroup_of_range_eq_of_le
((continuous_map.to_ae_eq_fun_add_hom μ).comp (forget_boundedness_add_hom α E))
(by { rintros - ⟨f, rfl⟩, exact mem_Lp f } : _ ≤ Lp E p μ),
end
variables (𝕜 : Type*) [measurable_space 𝕜]
/-- The bounded linear map of considering a bounded continuous function on a finite-measure space
as an element of `Lp`. -/
def to_Lp [normed_field 𝕜] [opens_measurable_space 𝕜] [normed_space 𝕜 E] [fact (1 ≤ p)] :
(α →ᵇ E) →L[𝕜] (Lp E p μ) :=
linear_map.mk_continuous
(linear_map.cod_restrict
(Lp.Lp_submodule E p μ 𝕜)
((continuous_map.to_ae_eq_fun_linear_map μ).comp (forget_boundedness_linear_map α E 𝕜))
mem_Lp)
_
Lp_norm_le
variables {𝕜}
lemma range_to_Lp [normed_field 𝕜] [opens_measurable_space 𝕜] [normed_space 𝕜 E] [fact (1 ≤ p)] :
((to_Lp p μ 𝕜).range.to_add_subgroup : add_subgroup (Lp E p μ))
= measure_theory.Lp.bounded_continuous_function E p μ :=
range_to_Lp_hom p μ
variables {p}
lemma coe_fn_to_Lp [normed_field 𝕜] [opens_measurable_space 𝕜] [normed_space 𝕜 E] [fact (1 ≤ p)]
(f : α →ᵇ E) :
to_Lp p μ 𝕜 f =ᵐ[μ] f :=
ae_eq_fun.coe_fn_mk f _
lemma to_Lp_norm_le [nondiscrete_normed_field 𝕜] [opens_measurable_space 𝕜] [normed_space 𝕜 E]
[fact (1 ≤ p)] :
∥(to_Lp p μ 𝕜 : (α →ᵇ E) →L[𝕜] (Lp E p μ))∥ ≤ (measure_univ_nnreal μ) ^ (p.to_real)⁻¹ :=
linear_map.mk_continuous_norm_le _ ((measure_univ_nnreal μ) ^ (p.to_real)⁻¹).coe_nonneg _
end bounded_continuous_function
namespace continuous_map
variables [compact_space α] [finite_measure μ]
variables (𝕜 : Type*) [measurable_space 𝕜] (p μ) [fact (1 ≤ p)]
/-- The bounded linear map of considering a continuous function on a compact finite-measure
space `α` as an element of `Lp`. By definition, the norm on `C(α, E)` is the sup-norm, transferred
from the space `α →ᵇ E` of bounded continuous functions, so this construction is just a matter of
transferring the structure from `bounded_continuous_function.to_Lp` along the isometry. -/
def to_Lp [normed_field 𝕜] [opens_measurable_space 𝕜] [normed_space 𝕜 E] :
C(α, E) →L[𝕜] (Lp E p μ) :=
(bounded_continuous_function.to_Lp p μ 𝕜).comp
(linear_isometry_bounded_of_compact α E 𝕜).to_linear_isometry.to_continuous_linear_map
variables {𝕜}
lemma range_to_Lp [normed_field 𝕜] [opens_measurable_space 𝕜] [normed_space 𝕜 E] :
((to_Lp p μ 𝕜).range.to_add_subgroup : add_subgroup (Lp E p μ))
= measure_theory.Lp.bounded_continuous_function E p μ :=
begin
refine set_like.ext' _,
have := (linear_isometry_bounded_of_compact α E 𝕜).surjective,
convert function.surjective.range_comp this (bounded_continuous_function.to_Lp p μ 𝕜),
rw ← bounded_continuous_function.range_to_Lp p μ,
refl,
end
variables {p}
lemma coe_fn_to_Lp [normed_field 𝕜] [opens_measurable_space 𝕜] [normed_space 𝕜 E] (f : C(α, E)) :
to_Lp p μ 𝕜 f =ᵐ[μ] f :=
ae_eq_fun.coe_fn_mk f _
lemma to_Lp_def [normed_field 𝕜] [opens_measurable_space 𝕜] [normed_space 𝕜 E] (f : C(α, E)) :
to_Lp p μ 𝕜 f
= bounded_continuous_function.to_Lp p μ 𝕜 (linear_isometry_bounded_of_compact α E 𝕜 f) :=
rfl
@[simp] lemma to_Lp_comp_forget_boundedness [normed_field 𝕜] [opens_measurable_space 𝕜]
[normed_space 𝕜 E] (f : α →ᵇ E) :
to_Lp p μ 𝕜 (bounded_continuous_function.forget_boundedness α E f)
= bounded_continuous_function.to_Lp p μ 𝕜 f :=
rfl
@[simp] lemma coe_to_Lp [normed_field 𝕜] [opens_measurable_space 𝕜] [normed_space 𝕜 E]
(f : C(α, E)) :
(to_Lp p μ 𝕜 f : α →ₘ[μ] E) = f.to_ae_eq_fun μ :=
rfl
variables [nondiscrete_normed_field 𝕜] [opens_measurable_space 𝕜] [normed_space 𝕜 E]
lemma to_Lp_norm_eq_to_Lp_norm_coe :
∥(to_Lp p μ 𝕜 : C(α, E) →L[𝕜] (Lp E p μ))∥
= ∥(bounded_continuous_function.to_Lp p μ 𝕜 : (α →ᵇ E) →L[𝕜] (Lp E p μ))∥ :=
continuous_linear_map.op_norm_comp_linear_isometry_equiv _ _
/-- Bound for the operator norm of `continuous_map.to_Lp`. -/
lemma to_Lp_norm_le :
∥(to_Lp p μ 𝕜 : C(α, E) →L[𝕜] (Lp E p μ))∥ ≤ (measure_univ_nnreal μ) ^ (p.to_real)⁻¹ :=
by { rw to_Lp_norm_eq_to_Lp_norm_coe, exact bounded_continuous_function.to_Lp_norm_le μ }
end continuous_map
--(to_Lp p μ 𝕜 : (α →ᵇ E) →L[𝕜] (Lp E p μ))
|
040c43a2cd8cbb553564fcbda1d56b76bb7ef807 | c777c32c8e484e195053731103c5e52af26a25d1 | /src/analysis/inner_product_space/projection.lean | 80d319de5fad26363f15ea58968154b374d59b26 | [
"Apache-2.0"
] | permissive | kbuzzard/mathlib | 2ff9e85dfe2a46f4b291927f983afec17e946eb8 | 58537299e922f9c77df76cb613910914a479c1f7 | refs/heads/master | 1,685,313,702,744 | 1,683,974,212,000 | 1,683,974,212,000 | 128,185,277 | 1 | 0 | null | 1,522,920,600,000 | 1,522,920,600,000 | null | UTF-8 | Lean | false | false | 60,724 | lean | /-
Copyright (c) 2019 Zhouhang Zhou. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Zhouhang Zhou, Frédéric Dupuis, Heather Macbeth
-/
import analysis.convex.basic
import analysis.inner_product_space.orthogonal
import analysis.inner_product_space.symmetric
import analysis.normed_space.is_R_or_C
import data.is_R_or_C.lemmas
/-!
# The orthogonal projection
Given a nonempty complete subspace `K` of an inner product space `E`, this file constructs
`orthogonal_projection K : E →L[𝕜] K`, the orthogonal projection of `E` onto `K`. This map
satisfies: for any point `u` in `E`, the point `v = orthogonal_projection K u` in `K` minimizes the
distance `‖u - v‖` to `u`.
Also a linear isometry equivalence `reflection K : E ≃ₗᵢ[𝕜] E` is constructed, by choosing, for
each `u : E`, the point `reflection K u` to satisfy
`u + (reflection K u) = 2 • orthogonal_projection K u`.
Basic API for `orthogonal_projection` and `reflection` is developed.
Next, the orthogonal projection is used to prove a series of more subtle lemmas about the
the orthogonal complement of complete subspaces of `E` (the orthogonal complement itself was
defined in `analysis.inner_product_space.basic`); the lemma
`submodule.sup_orthogonal_of_is_complete`, stating that for a complete subspace `K` of `E` we have
`K ⊔ Kᗮ = ⊤`, is a typical example.
## References
The orthogonal projection construction is adapted from
* [Clément & Martin, *The Lax-Milgram Theorem. A detailed proof to be formalized in Coq*]
* [Clément & Martin, *A Coq formal proof of the Lax–Milgram theorem*]
The Coq code is available at the following address: <http://www.lri.fr/~sboldo/elfic/index.html>
-/
noncomputable theory
open is_R_or_C real filter linear_map (ker range)
open_locale big_operators topology
variables {𝕜 E F : Type*} [is_R_or_C 𝕜]
variables [normed_add_comm_group E] [normed_add_comm_group F]
variables [inner_product_space 𝕜 E] [inner_product_space ℝ F]
local notation `⟪`x`, `y`⟫` := @inner 𝕜 _ _ x y
local notation `absR` := has_abs.abs
/-! ### Orthogonal projection in inner product spaces -/
/--
Existence of minimizers
Let `u` be a point in a real inner product space, and let `K` be a nonempty complete convex subset.
Then there exists a (unique) `v` in `K` that minimizes the distance `‖u - v‖` to `u`.
-/
-- FIXME this monolithic proof causes a deterministic timeout with `-T50000`
-- It should be broken in a sequence of more manageable pieces,
-- perhaps with individual statements for the three steps below.
theorem exists_norm_eq_infi_of_complete_convex {K : set F} (ne : K.nonempty) (h₁ : is_complete K)
(h₂ : convex ℝ K) : ∀ u : F, ∃ v ∈ K, ‖u - v‖ = ⨅ w : K, ‖u - w‖ := assume u,
begin
let δ := ⨅ w : K, ‖u - w‖,
letI : nonempty K := ne.to_subtype,
have zero_le_δ : 0 ≤ δ := le_cinfi (λ _, norm_nonneg _),
have δ_le : ∀ w : K, δ ≤ ‖u - w‖,
from cinfi_le ⟨0, set.forall_range_iff.2 $ λ _, norm_nonneg _⟩,
have δ_le' : ∀ w ∈ K, δ ≤ ‖u - w‖ := assume w hw, δ_le ⟨w, hw⟩,
-- Step 1: since `δ` is the infimum, can find a sequence `w : ℕ → K` in `K`
-- such that `‖u - w n‖ < δ + 1 / (n + 1)` (which implies `‖u - w n‖ --> δ`);
-- maybe this should be a separate lemma
have exists_seq : ∃ w : ℕ → K, ∀ n, ‖u - w n‖ < δ + 1 / (n + 1),
{ have hδ : ∀n:ℕ, δ < δ + 1 / (n + 1), from
λ n, lt_add_of_le_of_pos le_rfl nat.one_div_pos_of_nat,
have h := λ n, exists_lt_of_cinfi_lt (hδ n),
let w : ℕ → K := λ n, classical.some (h n),
exact ⟨w, λ n, classical.some_spec (h n)⟩ },
rcases exists_seq with ⟨w, hw⟩,
have norm_tendsto : tendsto (λ n, ‖u - w n‖) at_top (nhds δ),
{ have h : tendsto (λ n:ℕ, δ) at_top (nhds δ) := tendsto_const_nhds,
have h' : tendsto (λ n:ℕ, δ + 1 / (n + 1)) at_top (nhds δ),
{ convert h.add tendsto_one_div_add_at_top_nhds_0_nat, simp only [add_zero] },
exact tendsto_of_tendsto_of_tendsto_of_le_of_le h h'
(λ x, δ_le _) (λ x, le_of_lt (hw _)) },
-- Step 2: Prove that the sequence `w : ℕ → K` is a Cauchy sequence
have seq_is_cauchy : cauchy_seq (λ n, ((w n):F)),
{ rw cauchy_seq_iff_le_tendsto_0, -- splits into three goals
let b := λ n:ℕ, (8 * δ * (1/(n+1)) + 4 * (1/(n+1)) * (1/(n+1))),
use (λn, sqrt (b n)),
split,
-- first goal : `∀ (n : ℕ), 0 ≤ sqrt (b n)`
assume n, exact sqrt_nonneg _,
split,
-- second goal : `∀ (n m N : ℕ), N ≤ n → N ≤ m → dist ↑(w n) ↑(w m) ≤ sqrt (b N)`
assume p q N hp hq,
let wp := ((w p):F), let wq := ((w q):F),
let a := u - wq, let b := u - wp,
let half := 1 / (2:ℝ), let div := 1 / ((N:ℝ) + 1),
have : 4 * ‖u - half • (wq + wp)‖ * ‖u - half • (wq + wp)‖ + ‖wp - wq‖ * ‖wp - wq‖ =
2 * (‖a‖ * ‖a‖ + ‖b‖ * ‖b‖) :=
calc
4 * ‖u - half•(wq + wp)‖ * ‖u - half•(wq + wp)‖ + ‖wp - wq‖ * ‖wp - wq‖
= (2*‖u - half•(wq + wp)‖) * (2 * ‖u - half•(wq + wp)‖) + ‖wp-wq‖*‖wp-wq‖ : by ring
... = (absR ((2:ℝ)) * ‖u - half•(wq + wp)‖) * (absR ((2:ℝ)) * ‖u - half•(wq+wp)‖) +
‖wp-wq‖*‖wp-wq‖ :
by { rw _root_.abs_of_nonneg, exact zero_le_two }
... = ‖(2:ℝ) • (u - half • (wq + wp))‖ * ‖(2:ℝ) • (u - half • (wq + wp))‖ +
‖wp-wq‖ * ‖wp-wq‖ :
by simp [norm_smul]
... = ‖a + b‖ * ‖a + b‖ + ‖a - b‖ * ‖a - b‖ :
begin
rw [smul_sub, smul_smul, mul_one_div_cancel (_root_.two_ne_zero : (2 : ℝ) ≠ 0),
← one_add_one_eq_two, add_smul],
simp only [one_smul],
have eq₁ : wp - wq = a - b, from (sub_sub_sub_cancel_left _ _ _).symm,
have eq₂ : u + u - (wq + wp) = a + b, show u + u - (wq + wp) = (u - wq) + (u - wp), abel,
rw [eq₁, eq₂],
end
... = 2 * (‖a‖ * ‖a‖ + ‖b‖ * ‖b‖) : parallelogram_law_with_norm ℝ _ _,
have eq : δ ≤ ‖u - half • (wq + wp)‖,
{ rw smul_add,
apply δ_le', apply h₂,
repeat {exact subtype.mem _},
repeat {exact le_of_lt one_half_pos},
exact add_halves 1 },
have eq₁ : 4 * δ * δ ≤ 4 * ‖u - half • (wq + wp)‖ * ‖u - half • (wq + wp)‖,
{ simp_rw mul_assoc,
exact mul_le_mul_of_nonneg_left (mul_self_le_mul_self zero_le_δ eq) zero_le_four },
have eq₂ : ‖a‖ * ‖a‖ ≤ (δ + div) * (δ + div) :=
mul_self_le_mul_self (norm_nonneg _)
(le_trans (le_of_lt $ hw q) (add_le_add_left (nat.one_div_le_one_div hq) _)),
have eq₂' : ‖b‖ * ‖b‖ ≤ (δ + div) * (δ + div) :=
mul_self_le_mul_self (norm_nonneg _)
(le_trans (le_of_lt $ hw p) (add_le_add_left (nat.one_div_le_one_div hp) _)),
rw dist_eq_norm,
apply nonneg_le_nonneg_of_sq_le_sq, { exact sqrt_nonneg _ },
rw mul_self_sqrt,
calc
‖wp - wq‖ * ‖wp - wq‖ = 2 * (‖a‖*‖a‖ + ‖b‖*‖b‖) -
4 * ‖u - half • (wq+wp)‖ * ‖u - half • (wq+wp)‖ : by { rw ← this, simp }
... ≤ 2 * (‖a‖ * ‖a‖ + ‖b‖ * ‖b‖) - 4 * δ * δ : sub_le_sub_left eq₁ _
... ≤ 2 * ((δ + div) * (δ + div) + (δ + div) * (δ + div)) - 4 * δ * δ :
sub_le_sub_right (mul_le_mul_of_nonneg_left (add_le_add eq₂ eq₂') (by norm_num)) _
... = 8 * δ * div + 4 * div * div : by ring,
exact add_nonneg
(mul_nonneg (mul_nonneg (by norm_num) zero_le_δ) (le_of_lt nat.one_div_pos_of_nat))
(mul_nonneg (mul_nonneg (by norm_num) nat.one_div_pos_of_nat.le) nat.one_div_pos_of_nat.le),
-- third goal : `tendsto (λ (n : ℕ), sqrt (b n)) at_top (𝓝 0)`
apply tendsto.comp,
{ convert continuous_sqrt.continuous_at, exact sqrt_zero.symm },
have eq₁ : tendsto (λ (n : ℕ), 8 * δ * (1 / (n + 1))) at_top (nhds (0:ℝ)),
{ convert (@tendsto_const_nhds _ _ _ (8 * δ) _).mul tendsto_one_div_add_at_top_nhds_0_nat,
simp only [mul_zero] },
have : tendsto (λ (n : ℕ), (4:ℝ) * (1 / (n + 1))) at_top (nhds (0:ℝ)),
{ convert (@tendsto_const_nhds _ _ _ (4:ℝ) _).mul tendsto_one_div_add_at_top_nhds_0_nat,
simp only [mul_zero] },
have eq₂ : tendsto (λ (n : ℕ), (4:ℝ) * (1 / (n + 1)) * (1 / (n + 1))) at_top (nhds (0:ℝ)),
{ convert this.mul tendsto_one_div_add_at_top_nhds_0_nat,
simp only [mul_zero] },
convert eq₁.add eq₂, simp only [add_zero] },
-- Step 3: By completeness of `K`, let `w : ℕ → K` converge to some `v : K`.
-- Prove that it satisfies all requirements.
rcases cauchy_seq_tendsto_of_is_complete h₁ (λ n, _) seq_is_cauchy with ⟨v, hv, w_tendsto⟩,
use v, use hv,
have h_cont : continuous (λ v, ‖u - v‖) :=
continuous.comp continuous_norm (continuous.sub continuous_const continuous_id),
have : tendsto (λ n, ‖u - w n‖) at_top (nhds ‖u - v‖),
convert (tendsto.comp h_cont.continuous_at w_tendsto),
exact tendsto_nhds_unique this norm_tendsto,
exact subtype.mem _
end
/-- Characterization of minimizers for the projection on a convex set in a real inner product
space. -/
theorem norm_eq_infi_iff_real_inner_le_zero {K : set F} (h : convex ℝ K) {u : F} {v : F}
(hv : v ∈ K) : ‖u - v‖ = (⨅ w : K, ‖u - w‖) ↔ ∀ w ∈ K, ⟪u - v, w - v⟫_ℝ ≤ 0 :=
iff.intro
begin
assume eq w hw,
let δ := ⨅ w : K, ‖u - w‖, let p := ⟪u - v, w - v⟫_ℝ, let q := ‖w - v‖^2,
letI : nonempty K := ⟨⟨v, hv⟩⟩,
have zero_le_δ : 0 ≤ δ,
apply le_cinfi, intro, exact norm_nonneg _,
have δ_le : ∀ w : K, δ ≤ ‖u - w‖,
assume w, apply cinfi_le, use (0:ℝ), rintros _ ⟨_, rfl⟩, exact norm_nonneg _,
have δ_le' : ∀ w ∈ K, δ ≤ ‖u - w‖ := assume w hw, δ_le ⟨w, hw⟩,
have : ∀θ:ℝ, 0 < θ → θ ≤ 1 → 2 * p ≤ θ * q,
assume θ hθ₁ hθ₂,
have : ‖u - v‖^2 ≤ ‖u - v‖^2 - 2 * θ * ⟪u - v, w - v⟫_ℝ + θ*θ*‖w - v‖^2 :=
calc
‖u - v‖^2 ≤ ‖u - (θ•w + (1-θ)•v)‖^2 :
begin
simp only [sq], apply mul_self_le_mul_self (norm_nonneg _),
rw [eq], apply δ_le',
apply h hw hv,
exacts [le_of_lt hθ₁, sub_nonneg.2 hθ₂, add_sub_cancel'_right _ _],
end
... = ‖(u - v) - θ • (w - v)‖^2 :
begin
have : u - (θ•w + (1-θ)•v) = (u - v) - θ • (w - v),
{ rw [smul_sub, sub_smul, one_smul],
simp only [sub_eq_add_neg, add_comm, add_left_comm, add_assoc, neg_add_rev] },
rw this
end
... = ‖u - v‖^2 - 2 * θ * inner (u - v) (w - v) + θ*θ*‖w - v‖^2 :
begin
rw [@norm_sub_sq ℝ, inner_smul_right, norm_smul],
simp only [sq],
show ‖u-v‖*‖u-v‖-2*(θ*inner(u-v)(w-v))+absR (θ)*‖w-v‖*(absR (θ)*‖w-v‖)=
‖u-v‖*‖u-v‖-2*θ*inner(u-v)(w-v)+θ*θ*(‖w-v‖*‖w-v‖),
rw abs_of_pos hθ₁, ring
end,
have eq₁ : ‖u-v‖^2-2*θ*inner(u-v)(w-v)+θ*θ*‖w-v‖^2=‖u-v‖^2+(θ*θ*‖w-v‖^2-2*θ*inner(u-v)(w-v)),
by abel,
rw [eq₁, le_add_iff_nonneg_right] at this,
have eq₂ : θ*θ*‖w-v‖^2-2*θ*inner(u-v)(w-v)=θ*(θ*‖w-v‖^2-2*inner(u-v)(w-v)), ring,
rw eq₂ at this,
have := le_of_sub_nonneg (nonneg_of_mul_nonneg_right this hθ₁),
exact this,
by_cases hq : q = 0,
{ rw hq at this,
have : p ≤ 0,
have := this (1:ℝ) (by norm_num) (by norm_num),
linarith,
exact this },
{ have q_pos : 0 < q,
apply lt_of_le_of_ne, exact sq_nonneg _, intro h, exact hq h.symm,
by_contradiction hp, rw not_le at hp,
let θ := min (1:ℝ) (p / q),
have eq₁ : θ*q ≤ p := calc
θ*q ≤ (p/q) * q : mul_le_mul_of_nonneg_right (min_le_right _ _) (sq_nonneg _)
... = p : div_mul_cancel _ hq,
have : 2 * p ≤ p := calc
2 * p ≤ θ*q : by { refine this θ (lt_min (by norm_num) (div_pos hp q_pos)) (by norm_num) }
... ≤ p : eq₁,
linarith }
end
begin
assume h,
letI : nonempty K := ⟨⟨v, hv⟩⟩,
apply le_antisymm,
{ apply le_cinfi, assume w,
apply nonneg_le_nonneg_of_sq_le_sq (norm_nonneg _),
have := h w w.2,
calc
‖u - v‖ * ‖u - v‖ ≤ ‖u - v‖ * ‖u - v‖ - 2 * inner (u - v) ((w:F) - v) : by linarith
... ≤ ‖u - v‖^2 - 2 * inner (u - v) ((w:F) - v) + ‖(w:F) - v‖^2 :
by { rw sq, refine le_add_of_nonneg_right _, exact sq_nonneg _ }
... = ‖(u - v) - (w - v)‖^2 : (@norm_sub_sq ℝ _ _ _ _ _ _).symm
... = ‖u - w‖ * ‖u - w‖ :
by { have : (u - v) - (w - v) = u - w, abel, rw [this, sq] } },
{ show (⨅ (w : K), ‖u - w‖) ≤ (λw:K, ‖u - w‖) ⟨v, hv⟩,
apply cinfi_le, use 0, rintros y ⟨z, rfl⟩, exact norm_nonneg _ }
end
variables (K : submodule 𝕜 E)
/--
Existence of projections on complete subspaces.
Let `u` be a point in an inner product space, and let `K` be a nonempty complete subspace.
Then there exists a (unique) `v` in `K` that minimizes the distance `‖u - v‖` to `u`.
This point `v` is usually called the orthogonal projection of `u` onto `K`.
-/
theorem exists_norm_eq_infi_of_complete_subspace
(h : is_complete (↑K : set E)) : ∀ u : E, ∃ v ∈ K, ‖u - v‖ = ⨅ w : (K : set E), ‖u - w‖ :=
begin
letI : inner_product_space ℝ E := inner_product_space.is_R_or_C_to_real 𝕜 E,
letI : module ℝ E := restrict_scalars.module ℝ 𝕜 E,
let K' : submodule ℝ E := submodule.restrict_scalars ℝ K,
exact exists_norm_eq_infi_of_complete_convex ⟨0, K'.zero_mem⟩ h K'.convex
end
/--
Characterization of minimizers in the projection on a subspace, in the real case.
Let `u` be a point in a real inner product space, and let `K` be a nonempty subspace.
Then point `v` minimizes the distance `‖u - v‖` over points in `K` if and only if
for all `w ∈ K`, `⟪u - v, w⟫ = 0` (i.e., `u - v` is orthogonal to the subspace `K`).
This is superceded by `norm_eq_infi_iff_inner_eq_zero` that gives the same conclusion over
any `is_R_or_C` field.
-/
theorem norm_eq_infi_iff_real_inner_eq_zero (K : submodule ℝ F) {u : F} {v : F}
(hv : v ∈ K) : ‖u - v‖ = (⨅ w : (↑K : set F), ‖u - w‖) ↔ ∀ w ∈ K, ⟪u - v, w⟫_ℝ = 0 :=
iff.intro
begin
assume h,
have h : ∀ w ∈ K, ⟪u - v, w - v⟫_ℝ ≤ 0,
{ rwa [norm_eq_infi_iff_real_inner_le_zero] at h, exacts [K.convex, hv] },
assume w hw,
have le : ⟪u - v, w⟫_ℝ ≤ 0,
let w' := w + v,
have : w' ∈ K := submodule.add_mem _ hw hv,
have h₁ := h w' this,
have h₂ : w' - v = w, simp only [add_neg_cancel_right, sub_eq_add_neg],
rw h₂ at h₁, exact h₁,
have ge : ⟪u - v, w⟫_ℝ ≥ 0,
let w'' := -w + v,
have : w'' ∈ K := submodule.add_mem _ (submodule.neg_mem _ hw) hv,
have h₁ := h w'' this,
have h₂ : w'' - v = -w, simp only [neg_inj, add_neg_cancel_right, sub_eq_add_neg],
rw [h₂, inner_neg_right] at h₁,
linarith,
exact le_antisymm le ge
end
begin
assume h,
have : ∀ w ∈ K, ⟪u - v, w - v⟫_ℝ ≤ 0,
assume w hw,
let w' := w - v,
have : w' ∈ K := submodule.sub_mem _ hw hv,
have h₁ := h w' this,
exact le_of_eq h₁,
rwa norm_eq_infi_iff_real_inner_le_zero,
exacts [submodule.convex _, hv]
end
/--
Characterization of minimizers in the projection on a subspace.
Let `u` be a point in an inner product space, and let `K` be a nonempty subspace.
Then point `v` minimizes the distance `‖u - v‖` over points in `K` if and only if
for all `w ∈ K`, `⟪u - v, w⟫ = 0` (i.e., `u - v` is orthogonal to the subspace `K`)
-/
theorem norm_eq_infi_iff_inner_eq_zero {u : E} {v : E}
(hv : v ∈ K) : ‖u - v‖ = (⨅ w : K, ‖u - w‖) ↔ ∀ w ∈ K, ⟪u - v, w⟫ = 0 :=
begin
letI : inner_product_space ℝ E := inner_product_space.is_R_or_C_to_real 𝕜 E,
letI : module ℝ E := restrict_scalars.module ℝ 𝕜 E,
let K' : submodule ℝ E := K.restrict_scalars ℝ,
split,
{ assume H,
have A : ∀ w ∈ K, re ⟪u - v, w⟫ = 0 := (norm_eq_infi_iff_real_inner_eq_zero K' hv).1 H,
assume w hw,
apply ext,
{ simp [A w hw] },
{ symmetry, calc
im (0 : 𝕜) = 0 : im.map_zero
... = re ⟪u - v, (-I) • w⟫ : (A _ (K.smul_mem (-I) hw)).symm
... = re ((-I) * ⟪u - v, w⟫) : by rw inner_smul_right
... = im ⟪u - v, w⟫ : by simp } },
{ assume H,
have : ∀ w ∈ K', ⟪u - v, w⟫_ℝ = 0,
{ assume w hw,
rw [real_inner_eq_re_inner, H w hw],
exact zero_re' },
exact (norm_eq_infi_iff_real_inner_eq_zero K' hv).2 this }
end
section orthogonal_projection
variables [complete_space K]
/-- The orthogonal projection onto a complete subspace, as an
unbundled function. This definition is only intended for use in
setting up the bundled version `orthogonal_projection` and should not
be used once that is defined. -/
def orthogonal_projection_fn (v : E) :=
(exists_norm_eq_infi_of_complete_subspace K (complete_space_coe_iff_is_complete.mp ‹_›) v).some
variables {K}
/-- The unbundled orthogonal projection is in the given subspace.
This lemma is only intended for use in setting up the bundled version
and should not be used once that is defined. -/
lemma orthogonal_projection_fn_mem (v : E) : orthogonal_projection_fn K v ∈ K :=
(exists_norm_eq_infi_of_complete_subspace K
(complete_space_coe_iff_is_complete.mp ‹_›) v).some_spec.some
/-- The characterization of the unbundled orthogonal projection. This
lemma is only intended for use in setting up the bundled version
and should not be used once that is defined. -/
lemma orthogonal_projection_fn_inner_eq_zero (v : E) :
∀ w ∈ K, ⟪v - orthogonal_projection_fn K v, w⟫ = 0 :=
begin
rw ←norm_eq_infi_iff_inner_eq_zero K (orthogonal_projection_fn_mem v),
exact (exists_norm_eq_infi_of_complete_subspace K
(complete_space_coe_iff_is_complete.mp ‹_›) v).some_spec.some_spec
end
/-- The unbundled orthogonal projection is the unique point in `K`
with the orthogonality property. This lemma is only intended for use
in setting up the bundled version and should not be used once that is
defined. -/
lemma eq_orthogonal_projection_fn_of_mem_of_inner_eq_zero
{u v : E} (hvm : v ∈ K) (hvo : ∀ w ∈ K, ⟪u - v, w⟫ = 0) :
orthogonal_projection_fn K u = v :=
begin
rw [←sub_eq_zero, ←@inner_self_eq_zero 𝕜],
have hvs : orthogonal_projection_fn K u - v ∈ K :=
submodule.sub_mem K (orthogonal_projection_fn_mem u) hvm,
have huo : ⟪u - orthogonal_projection_fn K u, orthogonal_projection_fn K u - v⟫ = 0 :=
orthogonal_projection_fn_inner_eq_zero u _ hvs,
have huv : ⟪u - v, orthogonal_projection_fn K u - v⟫ = 0 := hvo _ hvs,
have houv : ⟪(u - v) - (u - orthogonal_projection_fn K u), orthogonal_projection_fn K u - v⟫ = 0,
{ rw [inner_sub_left, huo, huv, sub_zero] },
rwa sub_sub_sub_cancel_left at houv
end
variables (K)
lemma orthogonal_projection_fn_norm_sq (v : E) :
‖v‖ * ‖v‖ = ‖v - (orthogonal_projection_fn K v)‖ * ‖v - (orthogonal_projection_fn K v)‖
+ ‖orthogonal_projection_fn K v‖ * ‖orthogonal_projection_fn K v‖ :=
begin
set p := orthogonal_projection_fn K v,
have h' : ⟪v - p, p⟫ = 0,
{ exact orthogonal_projection_fn_inner_eq_zero _ _ (orthogonal_projection_fn_mem v) },
convert norm_add_sq_eq_norm_sq_add_norm_sq_of_inner_eq_zero (v - p) p h' using 2;
simp,
end
/-- The orthogonal projection onto a complete subspace. -/
def orthogonal_projection : E →L[𝕜] K :=
linear_map.mk_continuous
{ to_fun := λ v, ⟨orthogonal_projection_fn K v, orthogonal_projection_fn_mem v⟩,
map_add' := λ x y, begin
have hm : orthogonal_projection_fn K x + orthogonal_projection_fn K y ∈ K :=
submodule.add_mem K (orthogonal_projection_fn_mem x) (orthogonal_projection_fn_mem y),
have ho :
∀ w ∈ K, ⟪x + y - (orthogonal_projection_fn K x + orthogonal_projection_fn K y), w⟫ = 0,
{ intros w hw,
rw [add_sub_add_comm, inner_add_left, orthogonal_projection_fn_inner_eq_zero _ w hw,
orthogonal_projection_fn_inner_eq_zero _ w hw, add_zero] },
ext,
simp [eq_orthogonal_projection_fn_of_mem_of_inner_eq_zero hm ho]
end,
map_smul' := λ c x, begin
have hm : c • orthogonal_projection_fn K x ∈ K :=
submodule.smul_mem K _ (orthogonal_projection_fn_mem x),
have ho : ∀ w ∈ K, ⟪c • x - c • orthogonal_projection_fn K x, w⟫ = 0,
{ intros w hw,
rw [←smul_sub, inner_smul_left, orthogonal_projection_fn_inner_eq_zero _ w hw, mul_zero] },
ext,
simp [eq_orthogonal_projection_fn_of_mem_of_inner_eq_zero hm ho]
end }
1
(λ x, begin
simp only [one_mul, linear_map.coe_mk],
refine le_of_pow_le_pow 2 (norm_nonneg _) (by norm_num) _,
change ‖orthogonal_projection_fn K x‖ ^ 2 ≤ ‖x‖ ^ 2,
nlinarith [orthogonal_projection_fn_norm_sq K x]
end)
variables {K}
@[simp]
lemma orthogonal_projection_fn_eq (v : E) :
orthogonal_projection_fn K v = (orthogonal_projection K v : E) :=
rfl
/-- The characterization of the orthogonal projection. -/
@[simp]
lemma orthogonal_projection_inner_eq_zero (v : E) :
∀ w ∈ K, ⟪v - orthogonal_projection K v, w⟫ = 0 :=
orthogonal_projection_fn_inner_eq_zero v
/-- The difference of `v` from its orthogonal projection onto `K` is in `Kᗮ`. -/
@[simp] lemma sub_orthogonal_projection_mem_orthogonal (v : E) :
v - orthogonal_projection K v ∈ Kᗮ :=
begin
intros w hw,
rw inner_eq_zero_symm,
exact orthogonal_projection_inner_eq_zero _ _ hw
end
/-- The orthogonal projection is the unique point in `K` with the
orthogonality property. -/
lemma eq_orthogonal_projection_of_mem_of_inner_eq_zero
{u v : E} (hvm : v ∈ K) (hvo : ∀ w ∈ K, ⟪u - v, w⟫ = 0) :
(orthogonal_projection K u : E) = v :=
eq_orthogonal_projection_fn_of_mem_of_inner_eq_zero hvm hvo
/-- The orthogonal projection of `y` on `U` minimizes the distance `‖y - x‖` for `x ∈ U`. -/
lemma orthogonal_projection_minimal {U : submodule 𝕜 E} [complete_space U] (y : E) :
‖y - orthogonal_projection U y‖ = ⨅ x : U, ‖y - x‖ :=
begin
rw norm_eq_infi_iff_inner_eq_zero _ (submodule.coe_mem _),
exact orthogonal_projection_inner_eq_zero _
end
/-- The orthogonal projections onto equal subspaces are coerced back to the same point in `E`. -/
lemma eq_orthogonal_projection_of_eq_submodule
{K' : submodule 𝕜 E} [complete_space K'] (h : K = K') (u : E) :
(orthogonal_projection K u : E) = (orthogonal_projection K' u : E) :=
begin
change orthogonal_projection_fn K u = orthogonal_projection_fn K' u,
congr,
exact h
end
/-- The orthogonal projection sends elements of `K` to themselves. -/
@[simp] lemma orthogonal_projection_mem_subspace_eq_self (v : K) : orthogonal_projection K v = v :=
by { ext, apply eq_orthogonal_projection_of_mem_of_inner_eq_zero; simp }
/-- A point equals its orthogonal projection if and only if it lies in the subspace. -/
lemma orthogonal_projection_eq_self_iff {v : E} :
(orthogonal_projection K v : E) = v ↔ v ∈ K :=
begin
refine ⟨λ h, _, λ h, eq_orthogonal_projection_of_mem_of_inner_eq_zero h _⟩,
{ rw ← h,
simp },
{ simp }
end
lemma linear_isometry.map_orthogonal_projection {E E' : Type*}
[normed_add_comm_group E] [normed_add_comm_group E']
[inner_product_space 𝕜 E] [inner_product_space 𝕜 E']
(f : E →ₗᵢ[𝕜] E') (p : submodule 𝕜 E) [complete_space p]
(x : E) :
f (orthogonal_projection p x) = orthogonal_projection (p.map f.to_linear_map) (f x) :=
begin
refine (eq_orthogonal_projection_of_mem_of_inner_eq_zero _ $
λ y hy, _).symm,
refine submodule.apply_coe_mem_map _ _,
rcases hy with ⟨x', hx', rfl : f x' = y⟩,
rw [← f.map_sub, f.inner_map_map, orthogonal_projection_inner_eq_zero x x' hx']
end
lemma linear_isometry.map_orthogonal_projection' {E E' : Type*}
[normed_add_comm_group E] [normed_add_comm_group E']
[inner_product_space 𝕜 E] [inner_product_space 𝕜 E']
(f : E →ₗᵢ[𝕜] E') (p : submodule 𝕜 E) [complete_space p]
(x : E) :
f (orthogonal_projection p x) = orthogonal_projection (p.map f) (f x) :=
begin
refine (eq_orthogonal_projection_of_mem_of_inner_eq_zero _ $
λ y hy, _).symm,
refine submodule.apply_coe_mem_map _ _,
rcases hy with ⟨x', hx', rfl : f x' = y⟩,
rw [← f.map_sub, f.inner_map_map, orthogonal_projection_inner_eq_zero x x' hx']
end
/-- Orthogonal projection onto the `submodule.map` of a subspace. -/
lemma orthogonal_projection_map_apply {E E' : Type*}
[normed_add_comm_group E] [normed_add_comm_group E']
[inner_product_space 𝕜 E] [inner_product_space 𝕜 E']
(f : E ≃ₗᵢ[𝕜] E') (p : submodule 𝕜 E) [complete_space p]
(x : E') :
(orthogonal_projection (p.map (f.to_linear_equiv : E →ₗ[𝕜] E')) x : E')
= f (orthogonal_projection p (f.symm x)) :=
by simpa only [f.coe_to_linear_isometry, f.apply_symm_apply]
using (f.to_linear_isometry.map_orthogonal_projection p (f.symm x)).symm
/-- The orthogonal projection onto the trivial submodule is the zero map. -/
@[simp] lemma orthogonal_projection_bot : orthogonal_projection (⊥ : submodule 𝕜 E) = 0 :=
by ext
variables (K)
/-- The orthogonal projection has norm `≤ 1`. -/
lemma orthogonal_projection_norm_le : ‖orthogonal_projection K‖ ≤ 1 :=
linear_map.mk_continuous_norm_le _ (by norm_num) _
variables (𝕜)
lemma smul_orthogonal_projection_singleton {v : E} (w : E) :
(‖v‖ ^ 2 : 𝕜) • (orthogonal_projection (𝕜 ∙ v) w : E) = ⟪v, w⟫ • v :=
begin
suffices : ↑(orthogonal_projection (𝕜 ∙ v) ((‖v‖ ^ 2 : 𝕜) • w)) = ⟪v, w⟫ • v,
{ simpa using this },
apply eq_orthogonal_projection_of_mem_of_inner_eq_zero,
{ rw submodule.mem_span_singleton,
use ⟪v, w⟫ },
{ intros x hx,
obtain ⟨c, rfl⟩ := submodule.mem_span_singleton.mp hx,
have hv : ↑‖v‖ ^ 2 = ⟪v, v⟫ := by { norm_cast, simp [@norm_sq_eq_inner 𝕜] },
simp [inner_sub_left, inner_smul_left, inner_smul_right, map_div₀, mul_comm, hv,
inner_product_space.conj_symm, hv] }
end
/-- Formula for orthogonal projection onto a single vector. -/
lemma orthogonal_projection_singleton {v : E} (w : E) :
(orthogonal_projection (𝕜 ∙ v) w : E) = (⟪v, w⟫ / ‖v‖ ^ 2) • v :=
begin
by_cases hv : v = 0,
{ rw [hv, eq_orthogonal_projection_of_eq_submodule (submodule.span_zero_singleton 𝕜)],
{ simp },
{ apply_instance } },
have hv' : ‖v‖ ≠ 0 := ne_of_gt (norm_pos_iff.mpr hv),
have key : ((‖v‖ ^ 2 : 𝕜)⁻¹ * ‖v‖ ^ 2) • ↑(orthogonal_projection (𝕜 ∙ v) w)
= ((‖v‖ ^ 2 : 𝕜)⁻¹ * ⟪v, w⟫) • v,
{ simp [mul_smul, smul_orthogonal_projection_singleton 𝕜 w] },
convert key;
field_simp [hv']
end
/-- Formula for orthogonal projection onto a single unit vector. -/
lemma orthogonal_projection_unit_singleton {v : E} (hv : ‖v‖ = 1) (w : E) :
(orthogonal_projection (𝕜 ∙ v) w : E) = ⟪v, w⟫ • v :=
by { rw ← smul_orthogonal_projection_singleton 𝕜 w, simp [hv] }
end orthogonal_projection
section reflection
variables {𝕜} (K) [complete_space K]
/-- Auxiliary definition for `reflection`: the reflection as a linear equivalence. -/
def reflection_linear_equiv : E ≃ₗ[𝕜] E :=
linear_equiv.of_involutive
(bit0 (K.subtype.comp (orthogonal_projection K).to_linear_map) - linear_map.id)
(λ x, by simp [bit0])
/-- Reflection in a complete subspace of an inner product space. The word "reflection" is
sometimes understood to mean specifically reflection in a codimension-one subspace, and sometimes
more generally to cover operations such as reflection in a point. The definition here, of
reflection in a subspace, is a more general sense of the word that includes both those common
cases. -/
def reflection : E ≃ₗᵢ[𝕜] E :=
{ norm_map' := begin
intros x,
let w : K := orthogonal_projection K x,
let v := x - w,
have : ⟪v, w⟫ = 0 := orthogonal_projection_inner_eq_zero x w w.2,
convert norm_sub_eq_norm_add this using 2,
{ rw [linear_equiv.coe_mk, reflection_linear_equiv,
linear_equiv.to_fun_eq_coe, linear_equiv.coe_of_involutive,
linear_map.sub_apply, linear_map.id_apply, bit0, linear_map.add_apply,
linear_map.comp_apply, submodule.subtype_apply,
continuous_linear_map.to_linear_map_eq_coe, continuous_linear_map.coe_coe],
dsimp [w, v],
abel, },
{ simp only [add_sub_cancel'_right, eq_self_iff_true], }
end,
..reflection_linear_equiv K }
variables {K}
/-- The result of reflecting. -/
lemma reflection_apply (p : E) : reflection K p = bit0 ↑(orthogonal_projection K p) - p := rfl
/-- Reflection is its own inverse. -/
@[simp] lemma reflection_symm : (reflection K).symm = reflection K := rfl
/-- Reflection is its own inverse. -/
@[simp] lemma reflection_inv : (reflection K)⁻¹ = reflection K := rfl
variables (K)
/-- Reflecting twice in the same subspace. -/
@[simp] lemma reflection_reflection (p : E) : reflection K (reflection K p) = p :=
(reflection K).left_inv p
/-- Reflection is involutive. -/
lemma reflection_involutive : function.involutive (reflection K) := reflection_reflection K
/-- Reflection is involutive. -/
@[simp] lemma reflection_trans_reflection :
(reflection K).trans (reflection K) = linear_isometry_equiv.refl 𝕜 E :=
linear_isometry_equiv.ext $ reflection_involutive K
/-- Reflection is involutive. -/
@[simp] lemma reflection_mul_reflection : reflection K * reflection K = 1 :=
reflection_trans_reflection _
variables {K}
/-- A point is its own reflection if and only if it is in the subspace. -/
lemma reflection_eq_self_iff (x : E) : reflection K x = x ↔ x ∈ K :=
begin
rw [←orthogonal_projection_eq_self_iff, reflection_apply, sub_eq_iff_eq_add', ← two_smul 𝕜,
← two_smul' 𝕜],
refine (smul_right_injective E _).eq_iff,
exact two_ne_zero
end
lemma reflection_mem_subspace_eq_self {x : E} (hx : x ∈ K) : reflection K x = x :=
(reflection_eq_self_iff x).mpr hx
/-- Reflection in the `submodule.map` of a subspace. -/
lemma reflection_map_apply {E E' : Type*}
[normed_add_comm_group E] [normed_add_comm_group E']
[inner_product_space 𝕜 E] [inner_product_space 𝕜 E']
(f : E ≃ₗᵢ[𝕜] E') (K : submodule 𝕜 E) [complete_space K] (x : E') :
reflection (K.map (f.to_linear_equiv : E →ₗ[𝕜] E')) x = f (reflection K (f.symm x)) :=
by simp [bit0, reflection_apply, orthogonal_projection_map_apply f K x]
/-- Reflection in the `submodule.map` of a subspace. -/
lemma reflection_map {E E' : Type*}
[normed_add_comm_group E] [normed_add_comm_group E']
[inner_product_space 𝕜 E] [inner_product_space 𝕜 E']
(f : E ≃ₗᵢ[𝕜] E') (K : submodule 𝕜 E) [complete_space K] :
reflection (K.map (f.to_linear_equiv : E →ₗ[𝕜] E')) = f.symm.trans ((reflection K).trans f) :=
linear_isometry_equiv.ext $ reflection_map_apply f K
/-- Reflection through the trivial subspace {0} is just negation. -/
@[simp] lemma reflection_bot : reflection (⊥ : submodule 𝕜 E) = linear_isometry_equiv.neg 𝕜 :=
by ext; simp [reflection_apply]
end reflection
section orthogonal
/-- If `K₁` is complete and contained in `K₂`, `K₁` and `K₁ᗮ ⊓ K₂` span `K₂`. -/
lemma submodule.sup_orthogonal_inf_of_complete_space {K₁ K₂ : submodule 𝕜 E} (h : K₁ ≤ K₂)
[complete_space K₁] : K₁ ⊔ (K₁ᗮ ⊓ K₂) = K₂ :=
begin
ext x,
rw submodule.mem_sup,
let v : K₁ := orthogonal_projection K₁ x,
have hvm : x - v ∈ K₁ᗮ := sub_orthogonal_projection_mem_orthogonal x,
split,
{ rintro ⟨y, hy, z, hz, rfl⟩,
exact K₂.add_mem (h hy) hz.2 },
{ exact λ hx, ⟨v, v.prop, x - v, ⟨hvm, K₂.sub_mem hx (h v.prop)⟩, add_sub_cancel'_right _ _⟩ }
end
variables {K}
/-- If `K` is complete, `K` and `Kᗮ` span the whole space. -/
lemma submodule.sup_orthogonal_of_complete_space [complete_space K] : K ⊔ Kᗮ = ⊤ :=
begin
convert submodule.sup_orthogonal_inf_of_complete_space (le_top : K ≤ ⊤),
simp
end
variables (K)
/-- If `K` is complete, any `v` in `E` can be expressed as a sum of elements of `K` and `Kᗮ`. -/
lemma submodule.exists_sum_mem_mem_orthogonal [complete_space K] (v : E) :
∃ (y ∈ K) (z ∈ Kᗮ), v = y + z :=
begin
have h_mem : v ∈ K ⊔ Kᗮ := by simp [submodule.sup_orthogonal_of_complete_space],
obtain ⟨y, hy, z, hz, hyz⟩ := submodule.mem_sup.mp h_mem,
exact ⟨y, hy, z, hz, hyz.symm⟩
end
/-- If `K` is complete, then the orthogonal complement of its orthogonal complement is itself. -/
@[simp] lemma submodule.orthogonal_orthogonal [complete_space K] : Kᗮᗮ = K :=
begin
ext v,
split,
{ obtain ⟨y, hy, z, hz, rfl⟩ := K.exists_sum_mem_mem_orthogonal v,
intros hv,
have hz' : z = 0,
{ have hyz : ⟪z, y⟫ = 0 := by simp [hz y hy, inner_eq_zero_symm],
simpa [inner_add_right, hyz] using hv z hz },
simp [hy, hz'] },
{ intros hv w hw,
rw inner_eq_zero_symm,
exact hw v hv }
end
lemma submodule.orthogonal_orthogonal_eq_closure [complete_space E] :
Kᗮᗮ = K.topological_closure :=
begin
refine le_antisymm _ _,
{ convert submodule.orthogonal_orthogonal_monotone K.le_topological_closure,
haveI : complete_space K.topological_closure :=
K.is_closed_topological_closure.complete_space_coe,
rw K.topological_closure.orthogonal_orthogonal },
{ exact K.topological_closure_minimal K.le_orthogonal_orthogonal Kᗮ.is_closed_orthogonal }
end
variables {K}
/-- If `K` is complete, `K` and `Kᗮ` are complements of each other. -/
lemma submodule.is_compl_orthogonal_of_complete_space [complete_space K] : is_compl K Kᗮ :=
⟨K.orthogonal_disjoint, codisjoint_iff.2 submodule.sup_orthogonal_of_complete_space⟩
@[simp] lemma submodule.orthogonal_eq_bot_iff [complete_space (K : set E)] :
Kᗮ = ⊥ ↔ K = ⊤ :=
begin
refine ⟨_, λ h, by rw [h, submodule.top_orthogonal_eq_bot] ⟩,
intro h,
have : K ⊔ Kᗮ = ⊤ := submodule.sup_orthogonal_of_complete_space,
rwa [h, sup_comm, bot_sup_eq] at this,
end
/-- A point in `K` with the orthogonality property (here characterized in terms of `Kᗮ`) must be the
orthogonal projection. -/
lemma eq_orthogonal_projection_of_mem_orthogonal
[complete_space K] {u v : E} (hv : v ∈ K) (hvo : u - v ∈ Kᗮ) :
(orthogonal_projection K u : E) = v :=
eq_orthogonal_projection_fn_of_mem_of_inner_eq_zero hv (λ w, inner_eq_zero_symm.mp ∘ (hvo w))
/-- A point in `K` with the orthogonality property (here characterized in terms of `Kᗮ`) must be the
orthogonal projection. -/
lemma eq_orthogonal_projection_of_mem_orthogonal'
[complete_space K] {u v z : E} (hv : v ∈ K) (hz : z ∈ Kᗮ) (hu : u = v + z) :
(orthogonal_projection K u : E) = v :=
eq_orthogonal_projection_of_mem_orthogonal hv (by simpa [hu])
/-- The orthogonal projection onto `K` of an element of `Kᗮ` is zero. -/
lemma orthogonal_projection_mem_subspace_orthogonal_complement_eq_zero
[complete_space K] {v : E} (hv : v ∈ Kᗮ) :
orthogonal_projection K v = 0 :=
by { ext, convert eq_orthogonal_projection_of_mem_orthogonal _ _; simp [hv] }
/-- The projection into `U` from an orthogonal submodule `V` is the zero map. -/
lemma submodule.is_ortho.orthogonal_projection_comp_subtypeL {U V : submodule 𝕜 E}
[complete_space U] (h : U ⟂ V) :
orthogonal_projection U ∘L V.subtypeL = 0 :=
continuous_linear_map.ext $ λ v,
orthogonal_projection_mem_subspace_orthogonal_complement_eq_zero $ h.symm v.prop
/-- The projection into `U` from `V` is the zero map if and only if `U` and `V` are orthogonal. -/
lemma orthogonal_projection_comp_subtypeL_eq_zero_iff {U V : submodule 𝕜 E}
[complete_space U] :
orthogonal_projection U ∘L V.subtypeL = 0 ↔ U ⟂ V :=
⟨λ h u hu v hv, begin
convert orthogonal_projection_inner_eq_zero v u hu using 2,
have : orthogonal_projection U v = 0 := fun_like.congr_fun h ⟨_, hv⟩,
rw [this, submodule.coe_zero, sub_zero]
end, submodule.is_ortho.orthogonal_projection_comp_subtypeL⟩
lemma orthogonal_projection_eq_linear_proj [complete_space K] (x : E) :
orthogonal_projection K x =
K.linear_proj_of_is_compl _ submodule.is_compl_orthogonal_of_complete_space x :=
begin
have : is_compl K Kᗮ := submodule.is_compl_orthogonal_of_complete_space,
nth_rewrite 0 [← submodule.linear_proj_add_linear_proj_of_is_compl_eq_self this x],
rw [map_add, orthogonal_projection_mem_subspace_eq_self,
orthogonal_projection_mem_subspace_orthogonal_complement_eq_zero (submodule.coe_mem _),
add_zero]
end
lemma orthogonal_projection_coe_linear_map_eq_linear_proj [complete_space K] :
(orthogonal_projection K : E →ₗ[𝕜] K) =
K.linear_proj_of_is_compl _ submodule.is_compl_orthogonal_of_complete_space :=
linear_map.ext $ orthogonal_projection_eq_linear_proj
/-- The reflection in `K` of an element of `Kᗮ` is its negation. -/
lemma reflection_mem_subspace_orthogonal_complement_eq_neg
[complete_space K] {v : E} (hv : v ∈ Kᗮ) :
reflection K v = - v :=
by simp [reflection_apply, orthogonal_projection_mem_subspace_orthogonal_complement_eq_zero hv]
/-- The orthogonal projection onto `Kᗮ` of an element of `K` is zero. -/
lemma orthogonal_projection_mem_subspace_orthogonal_precomplement_eq_zero
[complete_space E] {v : E} (hv : v ∈ K) :
orthogonal_projection Kᗮ v = 0 :=
orthogonal_projection_mem_subspace_orthogonal_complement_eq_zero (K.le_orthogonal_orthogonal hv)
/-- If `U ≤ V`, then projecting on `V` and then on `U` is the same as projecting on `U`. -/
lemma orthogonal_projection_orthogonal_projection_of_le {U V : submodule 𝕜 E} [complete_space U]
[complete_space V] (h : U ≤ V) (x : E) :
orthogonal_projection U (orthogonal_projection V x) = orthogonal_projection U x :=
eq.symm $ by simpa only [sub_eq_zero, map_sub] using
orthogonal_projection_mem_subspace_orthogonal_complement_eq_zero
(submodule.orthogonal_le h (sub_orthogonal_projection_mem_orthogonal x))
/-- Given a monotone family `U` of complete submodules of `E` and a fixed `x : E`,
the orthogonal projection of `x` on `U i` tends to the orthogonal projection of `x` on
`(⨆ i, U i).topological_closure` along `at_top`. -/
lemma orthogonal_projection_tendsto_closure_supr [complete_space E] {ι : Type*}
[semilattice_sup ι] (U : ι → submodule 𝕜 E) [∀ i, complete_space (U i)]
(hU : monotone U) (x : E) :
filter.tendsto (λ i, (orthogonal_projection (U i) x : E)) at_top
(𝓝 (orthogonal_projection (⨆ i, U i).topological_closure x : E)) :=
begin
casesI is_empty_or_nonempty ι,
{ rw filter_eq_bot_of_is_empty (at_top : filter ι),
exact tendsto_bot },
let y := (orthogonal_projection (⨆ i, U i).topological_closure x : E),
have proj_x : ∀ i, orthogonal_projection (U i) x = orthogonal_projection (U i) y :=
λ i, (orthogonal_projection_orthogonal_projection_of_le
((le_supr U i).trans (supr U).le_topological_closure) _).symm,
suffices : ∀ ε > 0, ∃ I, ∀ i ≥ I, ‖(orthogonal_projection (U i) y : E) - y‖ < ε,
{ simpa only [proj_x, normed_add_comm_group.tendsto_at_top] using this },
intros ε hε,
obtain ⟨a, ha, hay⟩ : ∃ a ∈ ⨆ i, U i, dist y a < ε,
{ have y_mem : y ∈ (⨆ i, U i).topological_closure := submodule.coe_mem _,
rw [← set_like.mem_coe, submodule.topological_closure_coe, metric.mem_closure_iff] at y_mem,
exact y_mem ε hε },
rw dist_eq_norm at hay,
obtain ⟨I, hI⟩ : ∃ I, a ∈ U I,
{ rwa [submodule.mem_supr_of_directed _ (hU.directed_le)] at ha },
refine ⟨I, λ i (hi : I ≤ i), _⟩,
rw [norm_sub_rev, orthogonal_projection_minimal],
refine lt_of_le_of_lt _ hay,
change _ ≤ ‖y - (⟨a, hU hi hI⟩ : U i)‖,
exact cinfi_le ⟨0, set.forall_range_iff.mpr $ λ _, norm_nonneg _⟩ _,
end
/-- Given a monotone family `U` of complete submodules of `E` with dense span supremum,
and a fixed `x : E`, the orthogonal projection of `x` on `U i` tends to `x` along `at_top`. -/
lemma orthogonal_projection_tendsto_self [complete_space E] {ι : Type*} [semilattice_sup ι]
(U : ι → submodule 𝕜 E) [∀ t, complete_space (U t)] (hU : monotone U)
(x : E) (hU' : ⊤ ≤ (⨆ t, U t).topological_closure) :
filter.tendsto (λ t, (orthogonal_projection (U t) x : E)) at_top (𝓝 x) :=
begin
rw ← eq_top_iff at hU',
convert orthogonal_projection_tendsto_closure_supr U hU x,
rw orthogonal_projection_eq_self_iff.mpr _,
rw hU',
trivial
end
/-- The orthogonal complement satisfies `Kᗮᗮᗮ = Kᗮ`. -/
lemma submodule.triorthogonal_eq_orthogonal [complete_space E] : Kᗮᗮᗮ = Kᗮ :=
begin
rw Kᗮ.orthogonal_orthogonal_eq_closure,
exact K.is_closed_orthogonal.submodule_topological_closure_eq,
end
/-- The closure of `K` is the full space iff `Kᗮ` is trivial. -/
lemma submodule.topological_closure_eq_top_iff [complete_space E] :
K.topological_closure = ⊤ ↔ Kᗮ = ⊥ :=
begin
rw ←submodule.orthogonal_orthogonal_eq_closure,
split; intro h,
{ rw [←submodule.triorthogonal_eq_orthogonal, h, submodule.top_orthogonal_eq_bot] },
{ rw [h, submodule.bot_orthogonal_eq_top] }
end
namespace dense
open submodule
variables {x y : E} [complete_space E]
/-- If `S` is dense and `x - y ∈ Kᗮ`, then `x = y`. -/
lemma eq_of_sub_mem_orthogonal (hK : dense (K : set E)) (h : x - y ∈ Kᗮ) : x = y :=
begin
rw [dense_iff_topological_closure_eq_top, topological_closure_eq_top_iff] at hK,
rwa [hK, submodule.mem_bot, sub_eq_zero] at h,
end
lemma eq_zero_of_mem_orthogonal (hK : dense (K : set E)) (h : x ∈ Kᗮ) : x = 0 :=
hK.eq_of_sub_mem_orthogonal (by rwa [sub_zero])
lemma eq_of_inner_left (hK : dense (K : set E)) (h : ∀ v : K, ⟪x, v⟫ = ⟪y, v⟫) : x = y :=
hK.eq_of_sub_mem_orthogonal (submodule.sub_mem_orthogonal_of_inner_left h)
lemma eq_zero_of_inner_left (hK : dense (K : set E)) (h : ∀ v : K, ⟪x, v⟫ = 0) : x = 0 :=
hK.eq_of_inner_left (λ v, by rw [inner_zero_left, h v])
lemma eq_of_inner_right (hK : dense (K : set E))
(h : ∀ v : K, ⟪(v : E), x⟫ = ⟪(v : E), y⟫) : x = y :=
hK.eq_of_sub_mem_orthogonal (submodule.sub_mem_orthogonal_of_inner_right h)
lemma eq_zero_of_inner_right (hK : dense (K : set E))
(h : ∀ v : K, ⟪(v : E), x⟫ = 0) : x = 0 :=
hK.eq_of_inner_right (λ v, by rw [inner_zero_right, h v])
end dense
/-- The reflection in `Kᗮ` of an element of `K` is its negation. -/
lemma reflection_mem_subspace_orthogonal_precomplement_eq_neg
[complete_space E] {v : E} (hv : v ∈ K) :
reflection Kᗮ v = -v :=
reflection_mem_subspace_orthogonal_complement_eq_neg (K.le_orthogonal_orthogonal hv)
/-- The orthogonal projection onto `(𝕜 ∙ v)ᗮ` of `v` is zero. -/
lemma orthogonal_projection_orthogonal_complement_singleton_eq_zero [complete_space E] (v : E) :
orthogonal_projection (𝕜 ∙ v)ᗮ v = 0 :=
orthogonal_projection_mem_subspace_orthogonal_precomplement_eq_zero
(submodule.mem_span_singleton_self v)
/-- The reflection in `(𝕜 ∙ v)ᗮ` of `v` is `-v`. -/
lemma reflection_orthogonal_complement_singleton_eq_neg [complete_space E] (v : E) :
reflection (𝕜 ∙ v)ᗮ v = -v :=
reflection_mem_subspace_orthogonal_precomplement_eq_neg (submodule.mem_span_singleton_self v)
lemma reflection_sub [complete_space F] {v w : F} (h : ‖v‖ = ‖w‖) :
reflection (ℝ ∙ (v - w))ᗮ v = w :=
begin
set R : F ≃ₗᵢ[ℝ] F := reflection (ℝ ∙ (v - w))ᗮ,
suffices : R v + R v = w + w,
{ apply smul_right_injective F (by norm_num : (2:ℝ) ≠ 0),
simpa [two_smul] using this },
have h₁ : R (v - w) = -(v - w) := reflection_orthogonal_complement_singleton_eq_neg (v - w),
have h₂ : R (v + w) = v + w,
{ apply reflection_mem_subspace_eq_self,
rw submodule.mem_orthogonal_singleton_iff_inner_left,
rw real_inner_add_sub_eq_zero_iff,
exact h },
convert congr_arg2 (+) h₂ h₁ using 1,
{ simp },
{ abel }
end
variables (K)
/-- In a complete space `E`, a vector splits as the sum of its orthogonal projections onto a
complete submodule `K` and onto the orthogonal complement of `K`.-/
lemma eq_sum_orthogonal_projection_self_orthogonal_complement
[complete_space E] [complete_space K] (w : E) :
w = (orthogonal_projection K w : E) + (orthogonal_projection Kᗮ w : E) :=
begin
obtain ⟨y, hy, z, hz, hwyz⟩ := K.exists_sum_mem_mem_orthogonal w,
convert hwyz,
{ exact eq_orthogonal_projection_of_mem_orthogonal' hy hz hwyz },
{ rw add_comm at hwyz,
refine eq_orthogonal_projection_of_mem_orthogonal' hz _ hwyz,
simp [hy] }
end
/-- The Pythagorean theorem, for an orthogonal projection.-/
lemma norm_sq_eq_add_norm_sq_projection
(x : E) (S : submodule 𝕜 E) [complete_space E] [complete_space S] :
‖x‖^2 = ‖orthogonal_projection S x‖^2 + ‖orthogonal_projection Sᗮ x‖^2 :=
begin
let p1 := orthogonal_projection S,
let p2 := orthogonal_projection Sᗮ,
have x_decomp : x = p1 x + p2 x :=
eq_sum_orthogonal_projection_self_orthogonal_complement S x,
have x_orth : ⟪ (p1 x : E), p2 x ⟫ = 0 :=
submodule.inner_right_of_mem_orthogonal (set_like.coe_mem (p1 x)) (set_like.coe_mem (p2 x)),
nth_rewrite 0 [x_decomp],
simp only [sq, norm_add_sq_eq_norm_sq_add_norm_sq_of_inner_eq_zero ((p1 x) : E) (p2 x) x_orth,
add_left_inj, mul_eq_mul_left_iff, norm_eq_zero, true_or, eq_self_iff_true,
submodule.coe_norm, submodule.coe_eq_zero]
end
/-- In a complete space `E`, the projection maps onto a complete subspace `K` and its orthogonal
complement sum to the identity. -/
lemma id_eq_sum_orthogonal_projection_self_orthogonal_complement
[complete_space E] [complete_space K] :
continuous_linear_map.id 𝕜 E
= K.subtypeL.comp (orthogonal_projection K)
+ Kᗮ.subtypeL.comp (orthogonal_projection Kᗮ) :=
by { ext w, exact eq_sum_orthogonal_projection_self_orthogonal_complement K w }
@[simp] lemma inner_orthogonal_projection_eq_of_mem_right [complete_space K] (u : K) (v : E) :
⟪orthogonal_projection K v, u⟫ = ⟪v, u⟫ :=
calc ⟪orthogonal_projection K v, u⟫
= ⟪(orthogonal_projection K v : E), u⟫ : K.coe_inner _ _
... = ⟪(orthogonal_projection K v : E), u⟫ + ⟪v - orthogonal_projection K v, u⟫ :
by rw [orthogonal_projection_inner_eq_zero _ _ (submodule.coe_mem _), add_zero]
... = ⟪v, u⟫ :
by rw [← inner_add_left, add_sub_cancel'_right]
@[simp] lemma inner_orthogonal_projection_eq_of_mem_left [complete_space K] (u : K) (v : E) :
⟪u, orthogonal_projection K v⟫ = ⟪(u : E), v⟫ :=
by rw [← inner_conj_symm, ← inner_conj_symm (u : E), inner_orthogonal_projection_eq_of_mem_right]
/-- The orthogonal projection is self-adjoint. -/
lemma inner_orthogonal_projection_left_eq_right
[complete_space K] (u v : E) :
⟪↑(orthogonal_projection K u), v⟫ = ⟪u, orthogonal_projection K v⟫ :=
by rw [← inner_orthogonal_projection_eq_of_mem_left, inner_orthogonal_projection_eq_of_mem_right]
/-- The orthogonal projection is symmetric. -/
lemma orthogonal_projection_is_symmetric
[complete_space K] :
(K.subtypeL ∘L orthogonal_projection K : E →ₗ[𝕜] E).is_symmetric :=
inner_orthogonal_projection_left_eq_right K
open finite_dimensional
/-- Given a finite-dimensional subspace `K₂`, and a subspace `K₁`
containined in it, the dimensions of `K₁` and the intersection of its
orthogonal subspace with `K₂` add to that of `K₂`. -/
lemma submodule.finrank_add_inf_finrank_orthogonal {K₁ K₂ : submodule 𝕜 E}
[finite_dimensional 𝕜 K₂] (h : K₁ ≤ K₂) :
finrank 𝕜 K₁ + finrank 𝕜 (K₁ᗮ ⊓ K₂ : submodule 𝕜 E) = finrank 𝕜 K₂ :=
begin
haveI := submodule.finite_dimensional_of_le h,
haveI := proper_is_R_or_C 𝕜 K₁,
have hd := submodule.finrank_sup_add_finrank_inf_eq K₁ (K₁ᗮ ⊓ K₂),
rw [←inf_assoc, (submodule.orthogonal_disjoint K₁).eq_bot, bot_inf_eq, finrank_bot,
submodule.sup_orthogonal_inf_of_complete_space h] at hd,
rw add_zero at hd,
exact hd.symm
end
/-- Given a finite-dimensional subspace `K₂`, and a subspace `K₁`
containined in it, the dimensions of `K₁` and the intersection of its
orthogonal subspace with `K₂` add to that of `K₂`. -/
lemma submodule.finrank_add_inf_finrank_orthogonal' {K₁ K₂ : submodule 𝕜 E}
[finite_dimensional 𝕜 K₂] (h : K₁ ≤ K₂) {n : ℕ} (h_dim : finrank 𝕜 K₁ + n = finrank 𝕜 K₂) :
finrank 𝕜 (K₁ᗮ ⊓ K₂ : submodule 𝕜 E) = n :=
by { rw ← add_right_inj (finrank 𝕜 K₁),
simp [submodule.finrank_add_inf_finrank_orthogonal h, h_dim] }
/-- Given a finite-dimensional space `E` and subspace `K`, the dimensions of `K` and `Kᗮ` add to
that of `E`. -/
lemma submodule.finrank_add_finrank_orthogonal [finite_dimensional 𝕜 E] (K : submodule 𝕜 E) :
finrank 𝕜 K + finrank 𝕜 Kᗮ = finrank 𝕜 E :=
begin
convert submodule.finrank_add_inf_finrank_orthogonal (le_top : K ≤ ⊤) using 1,
{ rw inf_top_eq },
{ simp }
end
/-- Given a finite-dimensional space `E` and subspace `K`, the dimensions of `K` and `Kᗮ` add to
that of `E`. -/
lemma submodule.finrank_add_finrank_orthogonal' [finite_dimensional 𝕜 E] {K : submodule 𝕜 E} {n : ℕ}
(h_dim : finrank 𝕜 K + n = finrank 𝕜 E) :
finrank 𝕜 Kᗮ = n :=
by { rw ← add_right_inj (finrank 𝕜 K), simp [submodule.finrank_add_finrank_orthogonal, h_dim] }
local attribute [instance] fact_finite_dimensional_of_finrank_eq_succ
/-- In a finite-dimensional inner product space, the dimension of the orthogonal complement of the
span of a nonzero vector is one less than the dimension of the space. -/
lemma finrank_orthogonal_span_singleton {n : ℕ} [_i : fact (finrank 𝕜 E = n + 1)]
{v : E} (hv : v ≠ 0) :
finrank 𝕜 (𝕜 ∙ v)ᗮ = n :=
submodule.finrank_add_finrank_orthogonal' $ by simp [finrank_span_singleton hv, _i.elim, add_comm]
/-- An element `φ` of the orthogonal group of `F` can be factored as a product of reflections, and
specifically at most as many reflections as the dimension of the complement of the fixed subspace
of `φ`. -/
lemma linear_isometry_equiv.reflections_generate_dim_aux [finite_dimensional ℝ F] {n : ℕ}
(φ : F ≃ₗᵢ[ℝ] F)
(hn : finrank ℝ (ker (continuous_linear_map.id ℝ F - φ))ᗮ ≤ n) :
∃ l : list F, l.length ≤ n ∧ φ = (l.map (λ v, reflection (ℝ ∙ v)ᗮ)).prod :=
begin
-- We prove this by strong induction on `n`, the dimension of the orthogonal complement of the
-- fixed subspace of the endomorphism `φ`
induction n with n IH generalizing φ,
{ -- Base case: `n = 0`, the fixed subspace is the whole space, so `φ = id`
refine ⟨[], rfl.le, show φ = 1, from _⟩,
have : ker (continuous_linear_map.id ℝ F - φ) = ⊤,
{ rwa [le_zero_iff, finrank_eq_zero, submodule.orthogonal_eq_bot_iff] at hn },
symmetry,
ext x,
have := linear_map.congr_fun (linear_map.ker_eq_top.mp this) x,
simpa only [sub_eq_zero, continuous_linear_map.to_linear_map_eq_coe,
continuous_linear_map.coe_sub, linear_map.sub_apply, linear_map.zero_apply]
using this },
{ -- Inductive step. Let `W` be the fixed subspace of `φ`. We suppose its complement to have
-- dimension at most n + 1.
let W := ker (continuous_linear_map.id ℝ F - φ),
have hW : ∀ w ∈ W, φ w = w := λ w hw, (sub_eq_zero.mp hw).symm,
by_cases hn' : finrank ℝ Wᗮ ≤ n,
{ obtain ⟨V, hV₁, hV₂⟩ := IH φ hn',
exact ⟨V, hV₁.trans n.le_succ, hV₂⟩ },
-- Take a nonzero element `v` of the orthogonal complement of `W`.
haveI : nontrivial Wᗮ := nontrivial_of_finrank_pos (by linarith [zero_le n] : 0 < finrank ℝ Wᗮ),
obtain ⟨v, hv⟩ := exists_ne (0 : Wᗮ),
have hφv : φ v ∈ Wᗮ,
{ intros w hw,
rw [← hW w hw, linear_isometry_equiv.inner_map_map],
exact v.prop w hw },
have hv' : (v:F) ∉ W,
{ intros h,
exact hv ((submodule.mem_left_iff_eq_zero_of_disjoint W.orthogonal_disjoint).mp h) },
-- Let `ρ` be the reflection in `v - φ v`; this is designed to swap `v` and `φ v`
let x : F := v - φ v,
let ρ := reflection (ℝ ∙ x)ᗮ,
-- Notation: Let `V` be the fixed subspace of `φ.trans ρ`
let V := ker (continuous_linear_map.id ℝ F - (φ.trans ρ)),
have hV : ∀ w, ρ (φ w) = w → w ∈ V,
{ intros w hw,
change w - ρ (φ w) = 0,
rw [sub_eq_zero, hw] },
-- Everything fixed by `φ` is fixed by `φ.trans ρ`
have H₂V : W ≤ V,
{ intros w hw,
apply hV,
rw hW w hw,
refine reflection_mem_subspace_eq_self _,
rw submodule.mem_orthogonal_singleton_iff_inner_left,
exact submodule.sub_mem _ v.prop hφv _ hw },
-- `v` is also fixed by `φ.trans ρ`
have H₁V : (v : F) ∈ V,
{ apply hV,
have : ρ v = φ v := reflection_sub (φ.norm_map v).symm,
rw ←this,
exact reflection_reflection _ _, },
-- By dimension-counting, the complement of the fixed subspace of `φ.trans ρ` has dimension at
-- most `n`
have : finrank ℝ Vᗮ ≤ n,
{ change finrank ℝ Wᗮ ≤ n + 1 at hn,
have : finrank ℝ W + 1 ≤ finrank ℝ V :=
submodule.finrank_lt_finrank_of_lt (set_like.lt_iff_le_and_exists.2 ⟨H₂V, v, H₁V, hv'⟩),
have : finrank ℝ V + finrank ℝ Vᗮ = finrank ℝ F := V.finrank_add_finrank_orthogonal,
have : finrank ℝ W + finrank ℝ Wᗮ = finrank ℝ F := W.finrank_add_finrank_orthogonal,
linarith },
-- So apply the inductive hypothesis to `φ.trans ρ`
obtain ⟨l, hl, hφl⟩ := IH (ρ * φ) this,
-- Prepend `ρ` to the factorization into reflections obtained for `φ.trans ρ`; this gives a
-- factorization into reflections for `φ`.
refine ⟨x :: l, nat.succ_le_succ hl, _⟩,
rw [list.map_cons, list.prod_cons],
have := congr_arg ((*) ρ) hφl,
rwa [←mul_assoc, reflection_mul_reflection, one_mul] at this, }
end
/-- The orthogonal group of `F` is generated by reflections; specifically each element `φ` of the
orthogonal group is a product of at most as many reflections as the dimension of `F`.
Special case of the **Cartan–Dieudonné theorem**. -/
lemma linear_isometry_equiv.reflections_generate_dim [finite_dimensional ℝ F] (φ : F ≃ₗᵢ[ℝ] F) :
∃ l : list F, l.length ≤ finrank ℝ F ∧ φ = (l.map (λ v, reflection (ℝ ∙ v)ᗮ)).prod :=
let ⟨l, hl₁, hl₂⟩ := φ.reflections_generate_dim_aux le_rfl in
⟨l, hl₁.trans (submodule.finrank_le _), hl₂⟩
/-- The orthogonal group of `F` is generated by reflections. -/
lemma linear_isometry_equiv.reflections_generate [finite_dimensional ℝ F] :
subgroup.closure (set.range (λ v : F, reflection (ℝ ∙ v)ᗮ)) = ⊤ :=
begin
rw subgroup.eq_top_iff',
intros φ,
rcases φ.reflections_generate_dim with ⟨l, _, rfl⟩,
apply (subgroup.closure _).list_prod_mem,
intros x hx,
rcases list.mem_map.mp hx with ⟨a, _, hax⟩,
exact subgroup.subset_closure ⟨a, hax⟩,
end
end orthogonal
section orthogonal_family
variables {ι : Type*}
/-- An orthogonal family of subspaces of `E` satisfies `direct_sum.is_internal` (that is,
they provide an internal direct sum decomposition of `E`) if and only if their span has trivial
orthogonal complement. -/
lemma orthogonal_family.is_internal_iff_of_is_complete [decidable_eq ι]
{V : ι → submodule 𝕜 E} (hV : orthogonal_family 𝕜 (λ i, V i) (λ i, (V i).subtypeₗᵢ))
(hc : is_complete (↑(supr V) : set E)) :
direct_sum.is_internal V ↔ (supr V)ᗮ = ⊥ :=
begin
haveI : complete_space ↥(supr V) := hc.complete_space_coe,
simp only [direct_sum.is_internal_submodule_iff_independent_and_supr_eq_top, hV.independent,
true_and, submodule.orthogonal_eq_bot_iff]
end
/-- An orthogonal family of subspaces of `E` satisfies `direct_sum.is_internal` (that is,
they provide an internal direct sum decomposition of `E`) if and only if their span has trivial
orthogonal complement. -/
lemma orthogonal_family.is_internal_iff [decidable_eq ι] [finite_dimensional 𝕜 E]
{V : ι → submodule 𝕜 E} (hV : orthogonal_family 𝕜 (λ i, V i) (λ i, (V i).subtypeₗᵢ)) :
direct_sum.is_internal V ↔ (supr V)ᗮ = ⊥ :=
begin
haveI h := finite_dimensional.proper_is_R_or_C 𝕜 ↥(supr V),
exact hV.is_internal_iff_of_is_complete
(complete_space_coe_iff_is_complete.mp infer_instance)
end
end orthogonal_family
section orthonormal_basis
variables {𝕜 E} {v : set E}
open finite_dimensional submodule set
/-- An orthonormal set in an `inner_product_space` is maximal, if and only if the orthogonal
complement of its span is empty. -/
lemma maximal_orthonormal_iff_orthogonal_complement_eq_bot (hv : orthonormal 𝕜 (coe : v → E)) :
(∀ u ⊇ v, orthonormal 𝕜 (coe : u → E) → u = v) ↔ (span 𝕜 v)ᗮ = ⊥ :=
begin
rw submodule.eq_bot_iff,
split,
{ contrapose!,
-- ** direction 1: nonempty orthogonal complement implies nonmaximal
rintros ⟨x, hx', hx⟩,
-- take a nonzero vector and normalize it
let e := (‖x‖⁻¹ : 𝕜) • x,
have he : ‖e‖ = 1 := by simp [e, norm_smul_inv_norm hx],
have he' : e ∈ (span 𝕜 v)ᗮ := smul_mem' _ _ hx',
have he'' : e ∉ v,
{ intros hev,
have : e = 0,
{ have : e ∈ (span 𝕜 v) ⊓ (span 𝕜 v)ᗮ := ⟨subset_span hev, he'⟩,
simpa [(span 𝕜 v).inf_orthogonal_eq_bot] using this },
have : e ≠ 0 := hv.ne_zero ⟨e, hev⟩,
contradiction },
-- put this together with `v` to provide a candidate orthonormal basis for the whole space
refine ⟨insert e v, v.subset_insert e, ⟨_, _⟩, (v.ne_insert_of_not_mem he'').symm⟩,
{ -- show that the elements of `insert e v` have unit length
rintros ⟨a, ha'⟩,
cases eq_or_mem_of_mem_insert ha' with ha ha,
{ simp [ha, he] },
{ exact hv.1 ⟨a, ha⟩ } },
{ -- show that the elements of `insert e v` are orthogonal
have h_end : ∀ a ∈ v, ⟪a, e⟫ = 0,
{ intros a ha,
exact he' a (submodule.subset_span ha) },
rintros ⟨a, ha'⟩,
cases eq_or_mem_of_mem_insert ha' with ha ha,
{ rintros ⟨b, hb'⟩ hab',
have hb : b ∈ v,
{ refine mem_of_mem_insert_of_ne hb' _,
intros hbe',
apply hab',
simp [ha, hbe'] },
rw inner_eq_zero_symm,
simpa [ha] using h_end b hb },
rintros ⟨b, hb'⟩ hab',
cases eq_or_mem_of_mem_insert hb' with hb hb,
{ simpa [hb] using h_end a ha },
have : (⟨a, ha⟩ : v) ≠ ⟨b, hb⟩,
{ intros hab'',
apply hab',
simpa using hab'' },
exact hv.2 this } },
{ -- ** direction 2: empty orthogonal complement implies maximal
simp only [subset.antisymm_iff],
rintros h u (huv : v ⊆ u) hu,
refine ⟨_, huv⟩,
intros x hxu,
refine ((mt (h x)) (hu.ne_zero ⟨x, hxu⟩)).imp_symm _,
intros hxv y hy,
have hxv' : (⟨x, hxu⟩ : u) ∉ (coe ⁻¹' v : set u) := by simp [huv, hxv],
obtain ⟨l, hl, rfl⟩ :
∃ l ∈ finsupp.supported 𝕜 𝕜 (coe ⁻¹' v : set u), (finsupp.total ↥u E 𝕜 coe) l = y,
{ rw ← finsupp.mem_span_image_iff_total,
simp [huv, inter_eq_self_of_subset_left, hy] },
exact hu.inner_finsupp_eq_zero hxv' hl }
end
variables [finite_dimensional 𝕜 E]
/-- An orthonormal set in a finite-dimensional `inner_product_space` is maximal, if and only if it
is a basis. -/
lemma maximal_orthonormal_iff_basis_of_finite_dimensional
(hv : orthonormal 𝕜 (coe : v → E)) :
(∀ u ⊇ v, orthonormal 𝕜 (coe : u → E) → u = v) ↔ ∃ b : basis v 𝕜 E, ⇑b = coe :=
begin
haveI := proper_is_R_or_C 𝕜 (span 𝕜 v),
rw maximal_orthonormal_iff_orthogonal_complement_eq_bot hv,
have hv_compl : is_complete (span 𝕜 v : set E) := (span 𝕜 v).complete_of_finite_dimensional,
rw submodule.orthogonal_eq_bot_iff,
have hv_coe : range (coe : v → E) = v := by simp,
split,
{ refine λ h, ⟨basis.mk hv.linear_independent _, basis.coe_mk _ _⟩,
convert h.ge },
{ rintros ⟨h, coe_h⟩,
rw [← h.span_eq, coe_h, hv_coe] }
end
end orthonormal_basis
|
97680b32722259bee0c47fe8a18071d9cbd635da | 6432ea7a083ff6ba21ea17af9ee47b9c371760f7 | /tests/lean/run/typeclass_metas_internal_goals1.lean | f1fc52b624ca314844c415d867c31a1290107c35 | [
"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 | 378 | lean |
class Foo (α : Type) : Type := (u : Unit := ())
class Bar (α : Type) : Type := (u : Unit := ())
class Top : Type := (u : Unit := ())
instance FooAll (α : Type) : Foo α := {u:=()}
instance BarNat : Bar Nat := {u:=()}
set_option synthInstance.checkSynthOrder false in
instance FooBarToTop (α : Type) [Foo α] [Bar α] : Top := {u:=()}
set_option pp.all true
#synth Top
|
5e4eae23660b33f3d30c641ab442ef2189678d68 | a9d0fb7b0e4f802bd3857b803e6c5c23d87fef91 | /library/data/int/basic.lean | eb4cde1f5871feb68947f6d41a955b2afaf71375 | [
"Apache-2.0"
] | permissive | soonhokong/lean-osx | 4a954262c780e404c1369d6c06516161d07fcb40 | 3670278342d2f4faa49d95b46d86642d7875b47c | refs/heads/master | 1,611,410,334,552 | 1,474,425,686,000 | 1,474,425,686,000 | 12,043,103 | 5 | 1 | null | null | null | null | UTF-8 | Lean | false | false | 23,538 | 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, Jeremy Avigad
The integers, with addition, multiplication, and subtraction. The representation of the integers is
chosen to compute efficiently.
To faciliate proving things about these operations, we show that the integers are a quotient of
ℕ × ℕ with the usual equivalence relation, ≡, and functions
abstr : ℕ × ℕ → ℤ
repr : ℤ → ℕ × ℕ
satisfying:
abstr_repr (a : ℤ) : abstr (repr a) = a
repr_abstr (p : ℕ × ℕ) : repr (abstr p) ≡ p
abstr_eq (p q : ℕ × ℕ) : p ≡ q → abstr p = abstr q
For example, to "lift" statements about add to statements about padd, we need to prove the
following:
repr_add (a b : ℤ) : repr (a + b) = padd (repr a) (repr b)
padd_congr (p p' q q' : ℕ × ℕ) (H1 : p ≡ p') (H2 : q ≡ q') : padd p q ≡ p' q'
-/
import data.nat.sub algebra.relation data.prod
open eq.ops
open prod relation nat
open decidable binary
/- the type of integers -/
inductive int : Type :=
| of_nat : nat → int
| neg_succ_of_nat : nat → int
notation `ℤ` := int
-- [coercion]
attribute [reducible, constructor]
definition int.of_num (n : num) : ℤ :=
int.of_nat (nat.of_num n)
namespace int
-- attribute int.of_nat [coercion]
notation `-[1+ ` n `]` := int.neg_succ_of_nat n -- for pretty-printing output
protected definition prio : num := num.pred nat.prio
attribute [instance, priority int.prio]
definition int_has_zero : has_zero int :=
has_zero.mk (of_nat 0)
attribute [instance, priority int.prio]
definition int_has_one : has_one int :=
has_one.mk (of_nat 1)
theorem of_nat_zero : of_nat (0:nat) = (0:int) :=
rfl
theorem of_nat_one : of_nat (1:nat) = (1:int) :=
rfl
/- definitions of basic functions -/
definition neg_of_nat : ℕ → ℤ
| 0 := 0
| (succ m) := -[1+ m]
definition sub_nat_nat (m n : ℕ) : ℤ :=
match (n - m : nat) with
| 0 := of_nat (m - n) -- m ≥ n
| (succ k) := -[1+ k] -- m < n, and n - m = succ k
end
protected definition neg (a : ℤ) : ℤ :=
int.cases_on a neg_of_nat succ
protected definition add : ℤ → ℤ → ℤ
| (of_nat m) (of_nat n) := m + n
| (of_nat m) -[1+ n] := sub_nat_nat m (succ n)
| -[1+ m] (of_nat n) := sub_nat_nat n (succ m)
| -[1+ m] -[1+ n] := neg_of_nat (succ m + succ n)
protected definition mul : ℤ → ℤ → ℤ
| (of_nat m) (of_nat n) := m * n
| (of_nat m) -[1+ n] := neg_of_nat (m * succ n)
| -[1+ m] (of_nat n) := neg_of_nat (succ m * n)
| -[1+ m] -[1+ n] := succ m * succ n
/- notation -/
attribute [instance, priority int.prio]
definition int_has_add : has_add int := has_add.mk int.add
attribute [instance, priority int.prio]
definition int_has_neg : has_neg int := has_neg.mk int.neg
attribute [instance, priority int.prio]
definition int_has_mul : has_mul int := has_mul.mk int.mul
lemma mul_of_nat_of_nat (m n : nat) : of_nat m * of_nat n = of_nat (m * n) :=
rfl
lemma mul_of_nat_neg_succ_of_nat (m n : nat) : of_nat m * -[1+ n] = neg_of_nat (m * succ n) :=
rfl
lemma mul_neg_succ_of_nat_of_nat (m n : nat) : -[1+ m] * of_nat n = neg_of_nat (succ m * n) :=
rfl
lemma mul_neg_succ_of_nat_neg_succ_of_nat (m n : nat) : -[1+ m] * -[1+ n] = succ m * succ n :=
rfl
/- some basic functions and properties -/
theorem of_nat.inj {m n : ℕ} (H : of_nat m = of_nat n) : m = n :=
int.no_confusion H imp.id
theorem eq_of_of_nat_eq_of_nat {m n : ℕ} (H : of_nat m = of_nat n) : m = n :=
of_nat.inj H
theorem of_nat_eq_of_nat_iff (m n : ℕ) : of_nat m = of_nat n ↔ m = n :=
iff.intro of_nat.inj !congr_arg
theorem neg_succ_of_nat.inj {m n : ℕ} (H : neg_succ_of_nat m = neg_succ_of_nat n) : m = n :=
int.no_confusion H imp.id
theorem neg_succ_of_nat_eq (n : ℕ) : -[1+ n] = -(n + 1) := rfl
private definition has_decidable_eq₂ : Π (a b : ℤ), decidable (a = b)
| (of_nat m) (of_nat n) := decidable_of_decidable_of_iff
(nat.has_decidable_eq m n) (iff.symm (of_nat_eq_of_nat_iff m n))
| (of_nat m) -[1+ n] := inr (by contradiction)
| -[1+ m] (of_nat n) := inr (by contradiction)
| -[1+ m] -[1+ n] := if H : m = n then
inl (congr_arg neg_succ_of_nat H) else inr (not.mto neg_succ_of_nat.inj H)
attribute [instance, priority int.prio]
definition has_decidable_eq : decidable_eq ℤ := has_decidable_eq₂
theorem of_nat_add (n m : nat) : of_nat (n + m) = of_nat n + of_nat m := rfl
theorem of_nat_succ (n : ℕ) : of_nat (succ n) = of_nat n + 1 := rfl
theorem of_nat_mul (n m : ℕ) : of_nat (n * m) = of_nat n * of_nat m := rfl
theorem sub_nat_nat_of_ge {m n : ℕ} (H : m ≥ n) : sub_nat_nat m n = of_nat (m - n) :=
show sub_nat_nat m n = nat.cases_on 0 (m -[nat] n) _, from (sub_eq_zero_of_le H) ▸ rfl
section
local attribute sub_nat_nat [reducible]
theorem sub_nat_nat_of_lt {m n : ℕ} (H : m < n) : sub_nat_nat m n = -[1+ pred (n - m)] :=
have H1 : n - m = succ (pred (n - m)), from eq.symm (succ_pred_of_pos (nat.sub_pos_of_lt H)),
show sub_nat_nat m n = nat.cases_on (succ (nat.pred (n - m))) (m -[nat] n) _, from H1 ▸ rfl
end
definition nat_abs (a : ℤ) : ℕ := int.cases_on a id succ
theorem nat_abs_of_nat (n : ℕ) : nat_abs n = n := rfl
theorem eq_zero_of_nat_abs_eq_zero : Π {a : ℤ}, nat_abs a = 0 → a = 0
| (of_nat m) H := congr_arg of_nat H
| -[1+ m'] H := absurd H !succ_ne_zero
theorem nat_abs_zero : nat_abs (0:int) = (0:nat) :=
rfl
theorem nat_abs_one : nat_abs (1:int) = (1:nat) :=
rfl
/- int is a quotient of ordered pairs of natural numbers -/
protected definition equiv (p q : ℕ × ℕ) : Prop := pr1 p + pr2 q = pr2 p + pr1 q
local infix ≡ := int.equiv
attribute [refl]
protected theorem equiv.refl {p : ℕ × ℕ} : p ≡ p := !add.comm
local attribute int.equiv [reducible]
attribute [symm]
protected theorem equiv.symm {p q : ℕ × ℕ} (H : p ≡ q) : q ≡ p :=
by simp
attribute [trans]
protected theorem equiv.trans {p q r : ℕ × ℕ} (H1 : p ≡ q) (H2 : q ≡ r) : p ≡ r :=
add.right_cancel (calc
pr1 p + pr2 r + pr2 q = pr1 p + pr2 q + pr2 r : by simp_nohyps
... = pr2 p + pr1 r + pr2 q : by simp)
protected theorem equiv_equiv : is_equivalence int.equiv :=
is_equivalence.mk @equiv.refl @equiv.symm @equiv.trans
protected theorem equiv_cases {p q : ℕ × ℕ} (H : p ≡ q) :
(pr1 p ≥ pr2 p ∧ pr1 q ≥ pr2 q) ∨ (pr1 p < pr2 p ∧ pr1 q < pr2 q) :=
or.elim (@le_or_gt _ _ (pr2 p) (pr1 p))
(suppose pr1 p ≥ pr2 p,
have pr2 p + pr1 q ≥ pr2 p + pr2 q, from H ▸ add_le_add_right this (pr2 q),
or.inl (and.intro `pr1 p ≥ pr2 p` (le_of_add_le_add_left this)))
(suppose H₁ : pr1 p < pr2 p,
have pr2 p + pr1 q < pr2 p + pr2 q, from H ▸ add_lt_add_right H₁ (pr2 q),
or.inr (and.intro H₁ (lt_of_add_lt_add_left this)))
protected theorem equiv_of_eq {p q : ℕ × ℕ} (H : p = q) : p ≡ q := H ▸ equiv.refl
/- the representation and abstraction functions -/
definition abstr (a : ℕ × ℕ) : ℤ := sub_nat_nat (pr1 a) (pr2 a)
theorem abstr_of_ge {p : ℕ × ℕ} (H : pr1 p ≥ pr2 p) : abstr p = of_nat (pr1 p - pr2 p) :=
sub_nat_nat_of_ge H
theorem abstr_of_lt {p : ℕ × ℕ} (H : pr1 p < pr2 p) :
abstr p = -[1+ pred (pr2 p - pr1 p)] :=
sub_nat_nat_of_lt H
definition repr : ℤ → ℕ × ℕ
| (of_nat m) := (m, 0)
| -[1+ m] := (0, succ m)
theorem abstr_repr : Π (a : ℤ), abstr (repr a) = a
| (of_nat m) := (sub_nat_nat_of_ge (zero_le m))
| -[1+ m] := rfl
theorem repr_sub_nat_nat (m n : ℕ) : repr (sub_nat_nat m n) ≡ (m, n) :=
nat.lt_ge_by_cases
(take H : m < n,
have H1 : repr (sub_nat_nat m n) = (0, n - m), by
rewrite [sub_nat_nat_of_lt H, -(succ_pred_of_pos (nat.sub_pos_of_lt H))],
H1⁻¹ ▸ (!zero_add ⬝ (nat.sub_add_cancel (le_of_lt H))⁻¹))
(take H : m ≥ n,
have H1 : repr (sub_nat_nat m n) = (m - n, 0), from sub_nat_nat_of_ge H ▸ rfl,
H1⁻¹ ▸ ((nat.sub_add_cancel H) ⬝ !zero_add⁻¹))
theorem repr_abstr (p : ℕ × ℕ) : repr (abstr p) ≡ p :=
!prod.eta ▸ !repr_sub_nat_nat
theorem abstr_eq {p q : ℕ × ℕ} (Hequiv : p ≡ q) : abstr p = abstr q :=
or.elim (int.equiv_cases Hequiv)
(and.rec (assume (Hp : pr1 p ≥ pr2 p) (Hq : pr1 q ≥ pr2 q),
have H : pr1 p - pr2 p = pr1 q - pr2 q, from
calc pr1 p - pr2 p
= pr1 p + pr2 q - pr2 q - pr2 p : by rewrite nat.add_sub_cancel
... = pr2 p + pr1 q - pr2 q - pr2 p : Hequiv
... = pr2 p + (pr1 q - pr2 q) - pr2 p : nat.add_sub_assoc Hq
... = pr1 q - pr2 q + pr2 p - pr2 p : by simp
... = pr1 q - pr2 q : by rewrite nat.add_sub_cancel,
abstr_of_ge Hp ⬝ (H ▸ rfl) ⬝ (abstr_of_ge Hq)⁻¹))
(and.rec (assume (Hp : pr1 p < pr2 p) (Hq : pr1 q < pr2 q),
have H : pr2 p - pr1 p = pr2 q - pr1 q, from
calc pr2 p - pr1 p
= pr2 p + pr1 q - pr1 q - pr1 p : by rewrite nat.add_sub_cancel
... = pr1 p + pr2 q - pr1 q - pr1 p : Hequiv
... = pr1 p + (pr2 q - pr1 q) - pr1 p : nat.add_sub_assoc (le_of_lt Hq)
... = pr2 q - pr1 q + pr1 p - pr1 p : by rewrite add.comm
... = pr2 q - pr1 q : by rewrite nat.add_sub_cancel,
abstr_of_lt Hp ⬝ (H ▸ rfl) ⬝ (abstr_of_lt Hq)⁻¹))
theorem equiv_iff (p q : ℕ × ℕ) : (p ≡ q) ↔ (abstr p = abstr q) :=
iff.intro abstr_eq (assume H, equiv.trans (H ▸ equiv.symm (repr_abstr p)) (repr_abstr q))
theorem equiv_iff3 (p q : ℕ × ℕ) : (p ≡ q) ↔ ((p ≡ p) ∧ (q ≡ q) ∧ (abstr p = abstr q)) :=
iff.trans !equiv_iff (iff.symm
(iff.trans (and_iff_right !equiv.refl) (and_iff_right !equiv.refl)))
theorem eq_abstr_of_equiv_repr {a : ℤ} {p : ℕ × ℕ} (Hequiv : repr a ≡ p) : a = abstr p :=
!abstr_repr⁻¹ ⬝ abstr_eq Hequiv
theorem eq_of_repr_equiv_repr {a b : ℤ} (H : repr a ≡ repr b) : a = b :=
eq_abstr_of_equiv_repr H ⬝ !abstr_repr
section
local attribute abstr [reducible]
local attribute dist [reducible]
theorem nat_abs_abstr : Π (p : ℕ × ℕ), nat_abs (abstr p) = dist (pr1 p) (pr2 p)
| (m, n) := nat.lt_ge_by_cases
(assume H : m < n,
calc
nat_abs (abstr (m, n)) = nat_abs (-[1+ pred (n - m)]) : int.abstr_of_lt H
... = n - m : succ_pred_of_pos (nat.sub_pos_of_lt H)
... = dist m n : dist_eq_sub_of_le (le_of_lt H))
(assume H : m ≥ n, (abstr_of_ge H)⁻¹ ▸ (dist_eq_sub_of_ge H)⁻¹)
end
theorem cases_of_nat_succ (a : ℤ) : (∃n : ℕ, a = of_nat n) ∨ (∃n : ℕ, a = - (of_nat (succ n))) :=
int.cases_on a (take m, or.inl (exists.intro _ rfl)) (take m, or.inr (exists.intro _ rfl))
theorem cases_of_nat (a : ℤ) : (∃n : ℕ, a = of_nat n) ∨ (∃n : ℕ, a = - of_nat n) :=
or.imp_right (Exists.rec (take n, (exists.intro _))) !cases_of_nat_succ
theorem by_cases_of_nat {P : ℤ → Prop} (a : ℤ)
(H1 : ∀n : ℕ, P (of_nat n)) (H2 : ∀n : ℕ, P (- of_nat n)) :
P a :=
or.elim (cases_of_nat a)
(assume H, obtain (n : ℕ) (H3 : a = n), from H, H3⁻¹ ▸ H1 n)
(assume H, obtain (n : ℕ) (H3 : a = -n), from H, H3⁻¹ ▸ H2 n)
theorem by_cases_of_nat_succ {P : ℤ → Prop} (a : ℤ)
(H1 : ∀n : ℕ, P (of_nat n)) (H2 : ∀n : ℕ, P (- of_nat (succ n))) :
P a :=
or.elim (cases_of_nat_succ a)
(assume H, obtain (n : ℕ) (H3 : a = n), from H, H3⁻¹ ▸ H1 n)
(assume H, obtain (n : ℕ) (H3 : a = -(succ n)), from H, H3⁻¹ ▸ H2 n)
/-
int is a ring
-/
/- addition -/
definition padd (p q : ℕ × ℕ) : ℕ × ℕ := (pr1 p + pr1 q, pr2 p + pr2 q)
theorem repr_add : Π (a b : ℤ), repr (add a b) ≡ padd (repr a) (repr b)
| (of_nat m) (of_nat n) := !equiv.refl
| (of_nat m) -[1+ n] :=
begin
change repr (sub_nat_nat m (succ n)) ≡ (m + 0, 0 + succ n),
rewrite [zero_add, add_zero],
apply repr_sub_nat_nat
end
| -[1+ m] (of_nat n) :=
begin
change repr (-[1+ m] + n) ≡ (0 + n, succ m + 0),
rewrite [zero_add, add_zero],
apply repr_sub_nat_nat
end
| -[1+ m] -[1+ n] := !repr_sub_nat_nat
theorem padd_congr {p p' q q' : ℕ × ℕ} (Ha : p ≡ p') (Hb : q ≡ q') : padd p q ≡ padd p' q' :=
calc pr1 p + pr1 q + (pr2 p' + pr2 q')
= pr1 p + pr2 p' + (pr1 q + pr2 q') : by simp_nohyps
... = pr2 p + pr1 p' + (pr2 q + pr1 q') : by simp
... = pr2 p + pr2 q + (pr1 p' + pr1 q') : by simp_nohyps
theorem padd_comm (p q : ℕ × ℕ) : padd p q = padd q p :=
calc (pr1 p + pr1 q, pr2 p + pr2 q) = (pr1 q + pr1 p, pr2 q + pr2 p) : by simp
theorem padd_assoc (p q r : ℕ × ℕ) : padd (padd p q) r = padd p (padd q r) :=
calc (pr1 p + pr1 q + pr1 r, pr2 p + pr2 q + pr2 r)
= (pr1 p + (pr1 q + pr1 r), pr2 p + (pr2 q + pr2 r)) : by simp
protected theorem add_comm (a b : ℤ) : a + b = b + a :=
eq_of_repr_equiv_repr (equiv.trans !repr_add
(equiv.symm (!padd_comm ▸ !repr_add)))
protected theorem add_assoc (a b c : ℤ) : a + b + c = a + (b + c) :=
eq_of_repr_equiv_repr (calc
repr (a + b + c)
≡ padd (repr (a + b)) (repr c) : repr_add
... ≡ padd (padd (repr a) (repr b)) (repr c) : padd_congr !repr_add !equiv.refl
... = padd (repr a) (padd (repr b) (repr c)) : !padd_assoc
... ≡ padd (repr a) (repr (b + c)) : padd_congr !equiv.refl !repr_add
... ≡ repr (a + (b + c)) : repr_add)
protected theorem add_zero : Π (a : ℤ), a + 0 = a := int.rec (λm, rfl) (λm, rfl)
protected theorem zero_add (a : ℤ) : 0 + a = a := !int.add_comm ▸ !int.add_zero
/- negation -/
definition pneg (p : ℕ × ℕ) : ℕ × ℕ := (pr2 p, pr1 p)
-- note: this is =, not just ≡
theorem repr_neg : Π (a : ℤ), repr (- a) = pneg (repr a)
| 0 := rfl
| (succ m) := rfl
| -[1+ m] := rfl
theorem pneg_congr {p p' : ℕ × ℕ} (H : p ≡ p') : pneg p ≡ pneg p' := eq.symm H
theorem pneg_pneg (p : ℕ × ℕ) : pneg (pneg p) = p := !prod.eta
theorem nat_abs_neg (a : ℤ) : nat_abs (-a) = nat_abs a :=
calc
nat_abs (-a) = nat_abs (abstr (repr (-a))) : abstr_repr
... = nat_abs (abstr (pneg (repr a))) : repr_neg
... = dist (pr1 (pneg (repr a))) (pr2 (pneg (repr a))) : nat_abs_abstr
... = dist (pr2 (pneg (repr a))) (pr1 (pneg (repr a))) : dist.comm
... = nat_abs (abstr (repr a)) : nat_abs_abstr
... = nat_abs a : abstr_repr
theorem padd_pneg (p : ℕ × ℕ) : padd p (pneg p) ≡ (0, 0) :=
show pr1 p + pr2 p + 0 = pr2 p + pr1 p + 0, from !nat.add_comm ▸ rfl
theorem padd_padd_pneg (p q : ℕ × ℕ) : padd (padd p q) (pneg q) ≡ p :=
by unfold [padd, pneg]; simp
protected theorem add_left_inv (a : ℤ) : -a + a = 0 :=
have H : repr (-a + a) ≡ repr 0, from
calc
repr (-a + a) ≡ padd (repr (neg a)) (repr a) : repr_add
... = padd (pneg (repr a)) (repr a) : repr_neg
... ≡ repr 0 : padd_pneg,
eq_of_repr_equiv_repr H
/- nat abs -/
definition pabs (p : ℕ × ℕ) : ℕ := dist (pr1 p) (pr2 p)
theorem pabs_congr {p q : ℕ × ℕ} (H : p ≡ q) : pabs p = pabs q :=
calc
pabs p = nat_abs (abstr p) : nat_abs_abstr
... = nat_abs (abstr q) : abstr_eq H
... = pabs q : nat_abs_abstr
theorem nat_abs_eq_pabs_repr (a : ℤ) : nat_abs a = pabs (repr a) :=
calc
nat_abs a = nat_abs (abstr (repr a)) : abstr_repr
... = pabs (repr a) : nat_abs_abstr
theorem nat_abs_add_le (a b : ℤ) : nat_abs (a + b) ≤ nat_abs a + nat_abs b :=
calc
nat_abs (a + b) = pabs (repr (a + b)) : nat_abs_eq_pabs_repr
... = pabs (padd (repr a) (repr b)) : pabs_congr !repr_add
... ≤ pabs (repr a) + pabs (repr b) : dist_add_add_le_add_dist_dist
... = pabs (repr a) + nat_abs b : nat_abs_eq_pabs_repr
... = nat_abs a + nat_abs b : nat_abs_eq_pabs_repr
theorem nat_abs_neg_of_nat (n : nat) : nat_abs (neg_of_nat n) = n :=
begin cases n, reflexivity, reflexivity end
section
local attribute nat_abs [reducible]
theorem nat_abs_mul : Π (a b : ℤ), nat_abs (a * b) = (nat_abs a) * (nat_abs b)
| (of_nat m) (of_nat n) := rfl
| (of_nat m) -[1+ n] := by rewrite [mul_of_nat_neg_succ_of_nat, nat_abs_neg_of_nat]
| -[1+ m] (of_nat n) := by rewrite [mul_neg_succ_of_nat_of_nat, nat_abs_neg_of_nat]
| -[1+ m] -[1+ n] := rfl
end
/- multiplication -/
definition pmul (p q : ℕ × ℕ) : ℕ × ℕ :=
(pr1 p * pr1 q + pr2 p * pr2 q, pr1 p * pr2 q + pr2 p * pr1 q)
theorem repr_neg_of_nat (m : ℕ) : repr (neg_of_nat m) = (0, m) :=
nat.cases_on m rfl (take m', rfl)
-- note: we have =, not just ≡
theorem repr_mul : Π (a b : ℤ), repr (a * b) = pmul (repr a) (repr b)
| (of_nat m) (of_nat n) := calc
(m * n + 0 * 0, m * 0 + 0) = (m * n + 0 * 0, m * 0 + 0 * n) : by rewrite *zero_mul
| (of_nat m) -[1+ n] := calc
repr ((m : int) * -[1+ n]) = (m * 0 + 0, m * succ n + 0 * 0) : repr_neg_of_nat
... = (m * 0 + 0 * succ n, m * succ n + 0 * 0) : by rewrite *zero_mul
| -[1+ m] (of_nat n) := calc
repr (-[1+ m] * (n:int)) = (0 + succ m * 0, succ m * n) : repr_neg_of_nat
... = (0 + succ m * 0, 0 + succ m * n) : nat.zero_add
... = (0 * n + succ m * 0, 0 + succ m * n) : by rewrite zero_mul
| -[1+ m] -[1+ n] := calc
(succ m * succ n, 0) = (succ m * succ n, 0 * succ n) : by rewrite zero_mul
... = (0 + succ m * succ n, 0 * succ n) : nat.zero_add
local attribute left_distrib right_distrib [simp]
theorem equiv_mul_prep {xa ya xb yb xn yn xm ym : ℕ}
(H1 : xa + yb = ya + xb) (H2 : xn + ym = yn + xm) : xa*xn+ya*yn+(xb*ym+yb*xm) = xa*yn+ya*xn+(xb*xm+yb*ym) :=
nat.add_right_cancel (
calc xa*xn+ya*yn + (xb*ym+yb*xm) + (yb*xn+xb*yn + (xb*xn+yb*yn))
= (xa + yb)*xn + (ya + xb)*yn + (xb*(xn + ym)) + (yb*(yn + xm)) : by simp_nohyps
... = (ya + xb)*xn + (xa + yb)*yn + (xb*(yn + xm)) + (yb*(xn + ym)) : by simp
... = xa*yn+ya*xn + (xb*xm+yb*ym) + (yb*xn+xb*yn + (xb*xn+yb*yn)) : by simp_nohyps)
theorem pmul_congr {p p' q q' : ℕ × ℕ} : p ≡ p' → q ≡ q' → pmul p q ≡ pmul p' q' := equiv_mul_prep
theorem pmul_comm (p q : ℕ × ℕ) : pmul p q = pmul q p :=
by unfold pmul; simp
protected theorem mul_comm (a b : ℤ) : a * b = b * a :=
eq_of_repr_equiv_repr
((calc
repr (a * b) = pmul (repr a) (repr b) : repr_mul
... = pmul (repr b) (repr a) : pmul_comm
... = repr (b * a) : repr_mul) ▸ !equiv.refl)
private theorem pmul_assoc_prep {p1 p2 q1 q2 r1 r2 : ℕ} :
((p1*q1+p2*q2)*r1+(p1*q2+p2*q1)*r2, (p1*q1+p2*q2)*r2+(p1*q2+p2*q1)*r1) =
(p1*(q1*r1+q2*r2)+p2*(q1*r2+q2*r1), p1*(q1*r2+q2*r1)+p2*(q1*r1+q2*r2)) :=
by simp
theorem pmul_assoc (p q r: ℕ × ℕ) : pmul (pmul p q) r = pmul p (pmul q r) := pmul_assoc_prep
protected theorem mul_assoc (a b c : ℤ) : (a * b) * c = a * (b * c) :=
eq_of_repr_equiv_repr
((calc
repr (a * b * c) = pmul (repr (a * b)) (repr c) : repr_mul
... = pmul (pmul (repr a) (repr b)) (repr c) : repr_mul
... = pmul (repr a) (pmul (repr b) (repr c)) : pmul_assoc
... = pmul (repr a) (repr (b * c)) : repr_mul
... = repr (a * (b * c)) : repr_mul) ▸ !equiv.refl)
protected theorem mul_one : Π (a : ℤ), a * 1 = a
| (of_nat m) := !int.zero_add -- zero_add happens to be def. = to this thm
| -[1+ m] := !nat.zero_add ▸ rfl
protected theorem one_mul (a : ℤ) : 1 * a = a :=
int.mul_comm a 1 ▸ int.mul_one a
private theorem mul_distrib_prep {a1 a2 b1 b2 c1 c2 : ℕ} :
((a1+b1)*c1+(a2+b2)*c2, (a1+b1)*c2+(a2+b2)*c1) =
(a1*c1+a2*c2+(b1*c1+b2*c2), a1*c2+a2*c1+(b1*c2+b2*c1)) :=
by simp
protected theorem right_distrib (a b c : ℤ) : (a + b) * c = a * c + b * c :=
eq_of_repr_equiv_repr
(calc
repr ((a + b) * c) = pmul (repr (a + b)) (repr c) : repr_mul
... ≡ pmul (padd (repr a) (repr b)) (repr c) : pmul_congr !repr_add equiv.refl
... = padd (pmul (repr a) (repr c)) (pmul (repr b) (repr c)) : mul_distrib_prep
... = padd (repr (a * c)) (pmul (repr b) (repr c)) : repr_mul
... = padd (repr (a * c)) (repr (b * c)) : repr_mul
... ≡ repr (a * c + b * c) : repr_add)
protected theorem left_distrib (a b c : ℤ) : a * (b + c) = a * b + a * c :=
calc
a * (b + c) = (b + c) * a : int.mul_comm
... = b * a + c * a : int.right_distrib
... = a * b + c * a : int.mul_comm
... = a * b + a * c : int.mul_comm
protected theorem zero_ne_one : (0 : int) ≠ 1 :=
assume H : 0 = 1, !succ_ne_zero (of_nat.inj H)⁻¹
protected theorem eq_zero_or_eq_zero_of_mul_eq_zero {a b : ℤ} (H : a * b = 0) : a = 0 ∨ b = 0 :=
or.imp eq_zero_of_nat_abs_eq_zero eq_zero_of_nat_abs_eq_zero
(eq_zero_or_eq_zero_of_mul_eq_zero (by rewrite [-nat_abs_mul, H]))
attribute [trans_instance]
protected definition integral_domain : integral_domain int :=
⦃integral_domain,
add := int.add,
add_assoc := int.add_assoc,
zero := 0,
zero_add := int.zero_add,
add_zero := int.add_zero,
neg := int.neg,
add_left_inv := int.add_left_inv,
add_comm := int.add_comm,
mul := int.mul,
mul_assoc := int.mul_assoc,
one := 1,
one_mul := int.one_mul,
mul_one := int.mul_one,
left_distrib := int.left_distrib,
right_distrib := int.right_distrib,
mul_comm := int.mul_comm,
zero_ne_one := int.zero_ne_one,
eq_zero_or_eq_zero_of_mul_eq_zero := @int.eq_zero_or_eq_zero_of_mul_eq_zero⦄
attribute [instance, priority int.prio]
definition int_has_sub : has_sub int :=
has_sub.mk has_sub.sub
attribute [instance, priority int.prio]
definition int_has_dvd : has_dvd int :=
has_dvd.mk has_dvd.dvd
/- additional properties -/
theorem of_nat_sub {m n : ℕ} (H : m ≥ n) : of_nat (m - n) = of_nat m - of_nat n :=
have m - n + n = m, from nat.sub_add_cancel H,
begin
symmetry,
apply sub_eq_of_eq_add,
rewrite [-of_nat_add, this]
end
theorem neg_succ_of_nat_eq' (m : ℕ) : -[1+ m] = -m - 1 :=
by rewrite [neg_succ_of_nat_eq, neg_add]
definition succ (a : ℤ) := a + (succ zero)
definition pred (a : ℤ) := a - (succ zero)
definition nat_succ_eq_int_succ (n : ℕ) : nat.succ n = int.succ n := rfl
theorem pred_succ (a : ℤ) : pred (succ a) = a := !sub_add_cancel
theorem succ_pred (a : ℤ) : succ (pred a) = a := !add_sub_cancel
theorem neg_succ (a : ℤ) : -succ a = pred (-a) :=
by rewrite [↑succ,neg_add]
theorem succ_neg_succ (a : ℤ) : succ (-succ a) = -a :=
by rewrite [neg_succ,succ_pred]
theorem neg_pred (a : ℤ) : -pred a = succ (-a) :=
by rewrite [↑pred,neg_sub,sub_eq_add_neg,add.comm]
theorem pred_neg_pred (a : ℤ) : pred (-pred a) = -a :=
by rewrite [neg_pred,pred_succ]
theorem pred_nat_succ (n : ℕ) : pred (nat.succ n) = n := pred_succ n
theorem neg_nat_succ (n : ℕ) : -nat.succ n = pred (-n) := !neg_succ
theorem succ_neg_nat_succ (n : ℕ) : succ (-nat.succ n) = -n := !succ_neg_succ
attribute [unfold 2]
definition rec_nat_on {P : ℤ → Type} (z : ℤ) (H0 : P 0)
(Hsucc : Π⦃n : ℕ⦄, P n → P (succ n)) (Hpred : Π⦃n : ℕ⦄, P (-n) → P (-nat.succ n)) : P z :=
int.rec (nat.rec H0 Hsucc) (λn, nat.rec H0 Hpred (nat.succ n)) z
--the only computation rule of rec_nat_on which is not definitional
theorem rec_nat_on_neg {P : ℤ → Type} (n : nat) (H0 : P zero)
(Hsucc : Π⦃n : nat⦄, P n → P (succ n)) (Hpred : Π⦃n : nat⦄, P (-n) → P (-nat.succ n))
: rec_nat_on (-nat.succ n) H0 Hsucc Hpred = Hpred (rec_nat_on (-n) H0 Hsucc Hpred) :=
nat.rec rfl (λn H, rfl) n
end int
|
8d3cf2132c9144bf1971d38750bc60fe9422c032 | 853df553b1d6ca524e3f0a79aedd32dde5d27ec3 | /src/topology/algebra/module.lean | 6c4190d6342da9429e00cee2bf4a6674e850af44 | [
"Apache-2.0"
] | permissive | DanielFabian/mathlib | efc3a50b5dde303c59eeb6353ef4c35a345d7112 | f520d07eba0c852e96fe26da71d85bf6d40fcc2a | refs/heads/master | 1,668,739,922,971 | 1,595,201,756,000 | 1,595,201,756,000 | 279,469,476 | 0 | 0 | null | 1,594,696,604,000 | 1,594,696,604,000 | null | UTF-8 | Lean | false | false | 38,746 | lean | /-
Copyright (c) 2019 Sébastien Gouëzel. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Jan-David Salchow, Sébastien Gouëzel, Jean Lo, Yury Kudryashov
-/
import topology.algebra.ring
import topology.uniform_space.uniform_embedding
import ring_theory.algebra
import linear_algebra.projection
/-!
# Theory of topological modules and continuous linear maps.
We define classes `topological_semimodule`, `topological_module` and `topological_vector_spaces`,
as extensions of the corresponding algebraic classes where the algebraic operations are continuous.
We also define continuous linear maps, as linear maps between topological modules which are
continuous. The set of continuous linear maps between the topological `R`-modules `M` and `M₂` is
denoted by `M →L[R] M₂`.
Continuous linear equivalences are denoted by `M ≃L[R] M₂`.
## Implementation notes
Topological vector spaces are defined as an `abbreviation` for topological modules,
if the base ring is a field. This has as advantage that topological vector spaces are completely
transparent for type class inference, which means that all instances for topological modules
are immediately picked up for vector spaces as well.
A cosmetic disadvantage is that one can not extend topological vector spaces.
The solution is to extend `topological_module` instead.
-/
open filter
open_locale topological_space big_operators
universes u v w u'
section prio
set_option default_priority 100 -- see Note [default priority]
/-- A topological semimodule, over a semiring which is also a topological space, is a
semimodule in which scalar multiplication is continuous. In applications, R will be a topological
semiring and M a topological additive semigroup, but this is not needed for the definition -/
class topological_semimodule (R : Type u) (M : Type v)
[semiring R] [topological_space R]
[topological_space M] [add_comm_monoid M]
[semimodule R M] : Prop :=
(continuous_smul : continuous (λp : R × M, p.1 • p.2))
end prio
section
variables {R : Type u} {M : Type v}
[semiring R] [topological_space R]
[topological_space M] [add_comm_monoid M]
[semimodule R M] [topological_semimodule R M]
lemma continuous_smul : continuous (λp:R×M, p.1 • p.2) :=
topological_semimodule.continuous_smul
lemma continuous.smul {α : Type*} [topological_space α] {f : α → R} {g : α → M}
(hf : continuous f) (hg : continuous g) : continuous (λp, f p • g p) :=
continuous_smul.comp (hf.prod_mk hg)
lemma tendsto_smul {c : R} {x : M} : tendsto (λp:R×M, p.fst • p.snd) (𝓝 (c, x)) (𝓝 (c • x)) :=
continuous_smul.tendsto _
lemma filter.tendsto.smul {α : Type*} {l : filter α} {f : α → R} {g : α → M} {c : R} {x : M}
(hf : tendsto f l (𝓝 c)) (hg : tendsto g l (𝓝 x)) : tendsto (λ a, f a • g a) l (𝓝 (c • x)) :=
tendsto_smul.comp (hf.prod_mk_nhds hg)
end
section prio
set_option default_priority 100 -- see Note [default priority]
/-- A topological module, over a ring which is also a topological space, is a module in which
scalar multiplication is continuous. In applications, `R` will be a topological ring and `M` a
topological additive group, but this is not needed for the definition -/
class topological_module (R : Type u) (M : Type v)
[ring R] [topological_space R]
[topological_space M] [add_comm_group M]
[module R M]
extends topological_semimodule R M : Prop
/-- A topological vector space is a topological module over a field. -/
abbreviation topological_vector_space (R : Type u) (M : Type v)
[field R] [topological_space R]
[topological_space M] [add_comm_group M] [module R M] :=
topological_module R M
end prio
section
variables {R : Type*} {M : Type*}
[ring R] [topological_space R]
[topological_space M] [add_comm_group M]
[module R M] [topological_module R M]
/-- Scalar multiplication by a unit is a homeomorphism from a
topological module onto itself. -/
protected def homeomorph.smul_of_unit (a : units R) : M ≃ₜ M :=
{ to_fun := λ x, (a : R) • x,
inv_fun := λ x, ((a⁻¹ : units R) : R) • x,
right_inv := λ x, calc (a : R) • ((a⁻¹ : units R) : R) • x = x :
by rw [smul_smul, units.mul_inv, one_smul],
left_inv := λ x, calc ((a⁻¹ : units R) : R) • (a : R) • x = x :
by rw [smul_smul, units.inv_mul, one_smul],
continuous_to_fun := continuous_const.smul continuous_id,
continuous_inv_fun := continuous_const.smul continuous_id }
lemma is_open_map_smul_of_unit (a : units R) : is_open_map (λ (x : M), (a : R) • x) :=
(homeomorph.smul_of_unit a).is_open_map
lemma is_closed_map_smul_of_unit (a : units R) : is_closed_map (λ (x : M), (a : R) • x) :=
(homeomorph.smul_of_unit a).is_closed_map
/-- If `M` is a topological module over `R` and `0` is a limit of invertible elements of `R`, then
`⊤` is the only submodule of `M` with a nonempty interior. See also
`submodule.eq_top_of_nonempty_interior` for a `normed_space` version. -/
lemma submodule.eq_top_of_nonempty_interior' [topological_add_monoid M]
(h : nhds_within (0:R) {x | is_unit x} ≠ ⊥)
(s : submodule R M) (hs : (interior (s:set M)).nonempty) :
s = ⊤ :=
begin
rcases hs with ⟨y, hy⟩,
refine (submodule.eq_top_iff'.2 $ λ x, _),
rw [mem_interior_iff_mem_nhds] at hy,
have : tendsto (λ c:R, y + c • x) (nhds_within 0 {x | is_unit x}) (𝓝 (y + (0:R) • x)),
from tendsto_const_nhds.add ((tendsto_nhds_within_of_tendsto_nhds tendsto_id).smul
tendsto_const_nhds),
rw [zero_smul, add_zero] at this,
rcases nonempty_of_mem_sets h (inter_mem_sets (mem_map.1 (this hy)) self_mem_nhds_within)
with ⟨_, hu, u, rfl⟩,
have hy' : y ∈ ↑s := mem_of_nhds hy,
exact (s.smul_mem_iff' _).1 ((s.add_mem_iff_right hy').1 hu)
end
end
section
variables {R : Type*} {M : Type*} {a : R}
[field R] [topological_space R]
[topological_space M] [add_comm_group M]
[vector_space R M] [topological_vector_space R M]
/-- Scalar multiplication by a non-zero field element is a
homeomorphism from a topological vector space onto itself. -/
protected def homeomorph.smul_of_ne_zero (ha : a ≠ 0) : M ≃ₜ M :=
{.. homeomorph.smul_of_unit (units.mk0 a ha)}
lemma is_open_map_smul_of_ne_zero (ha : a ≠ 0) : is_open_map (λ (x : M), a • x) :=
(homeomorph.smul_of_ne_zero ha).is_open_map
lemma is_closed_map_smul_of_ne_zero (ha : a ≠ 0) : is_closed_map (λ (x : M), a • x) :=
(homeomorph.smul_of_ne_zero ha).is_closed_map
end
/-- Continuous linear maps between modules. We only put the type classes that are necessary for the
definition, although in applications `M` and `M₂` will be topological modules over the topological
ring `R`. -/
structure continuous_linear_map
(R : Type*) [semiring R]
(M : Type*) [topological_space M] [add_comm_monoid M]
(M₂ : Type*) [topological_space M₂] [add_comm_monoid M₂]
[semimodule R M] [semimodule R M₂]
extends linear_map R M M₂ :=
(cont : continuous to_fun)
notation M ` →L[`:25 R `] ` M₂ := continuous_linear_map R M M₂
/-- Continuous linear equivalences between modules. We only put the type classes that are necessary
for the definition, although in applications `M` and `M₂` will be topological modules over the
topological ring `R`. -/
@[nolint has_inhabited_instance]
structure continuous_linear_equiv
(R : Type*) [semiring R]
(M : Type*) [topological_space M] [add_comm_monoid M]
(M₂ : Type*) [topological_space M₂] [add_comm_monoid M₂]
[semimodule R M] [semimodule R M₂]
extends linear_equiv R M M₂ :=
(continuous_to_fun : continuous to_fun)
(continuous_inv_fun : continuous inv_fun)
notation M ` ≃L[`:50 R `] ` M₂ := continuous_linear_equiv R M M₂
namespace continuous_linear_map
section semiring
/- Properties that hold for non-necessarily commutative semirings. -/
variables
{R : Type*} [semiring R]
{M : Type*} [topological_space M] [add_comm_monoid M]
{M₂ : Type*} [topological_space M₂] [add_comm_monoid M₂]
{M₃ : Type*} [topological_space M₃] [add_comm_monoid M₃]
{M₄ : Type*} [topological_space M₄] [add_comm_monoid M₄]
[semimodule R M] [semimodule R M₂] [semimodule R M₃] [semimodule R M₄]
/-- Coerce continuous linear maps to linear maps. -/
instance : has_coe (M →L[R] M₂) (M →ₗ[R] M₂) := ⟨to_linear_map⟩
/-- Coerce continuous linear maps to functions. -/
-- see Note [function coercion]
instance to_fun : has_coe_to_fun $ M →L[R] M₂ := ⟨λ _, M → M₂, λ f, f⟩
protected lemma continuous (f : M →L[R] M₂) : continuous f := f.2
@[ext] theorem ext {f g : M →L[R] M₂} (h : ∀ x, f x = g x) : f = g :=
by cases f; cases g; congr' 1; ext x; apply h
theorem ext_iff {f g : M →L[R] M₂} : f = g ↔ ∀ x, f x = g x :=
⟨λ h x, by rw h, by ext⟩
variables (c : R) (f g : M →L[R] M₂) (h : M₂ →L[R] M₃) (x y z : M)
-- make some straightforward lemmas available to `simp`.
@[simp] lemma map_zero : f (0 : M) = 0 := (to_linear_map _).map_zero
@[simp] lemma map_add : f (x + y) = f x + f y := (to_linear_map _).map_add _ _
@[simp] lemma map_smul : f (c • x) = c • f x := (to_linear_map _).map_smul _ _
@[simp, norm_cast] lemma coe_coe : ((f : M →ₗ[R] M₂) : (M → M₂)) = (f : M → M₂) := rfl
/-- The continuous map that is constantly zero. -/
instance: has_zero (M →L[R] M₂) := ⟨⟨0, continuous_const⟩⟩
instance : inhabited (M →L[R] M₂) := ⟨0⟩
@[simp] lemma zero_apply : (0 : M →L[R] M₂) x = 0 := rfl
@[simp, norm_cast] lemma coe_zero : ((0 : M →L[R] M₂) : M →ₗ[R] M₂) = 0 := rfl
/- no simp attribute on the next line as simp does not always simplify `0 x` to `0`
when `0` is the zero function, while it does for the zero continuous linear map,
and this is the most important property we care about. -/
@[norm_cast] lemma coe_zero' : ((0 : M →L[R] M₂) : M → M₂) = 0 := rfl
section
variables (R M)
/-- the identity map as a continuous linear map. -/
def id : M →L[R] M :=
⟨linear_map.id, continuous_id⟩
end
instance : has_one (M →L[R] M) := ⟨id R M⟩
lemma id_apply : id R M x = x := rfl
@[simp, norm_cast] lemma coe_id : (id R M : M →ₗ[R] M) = linear_map.id := rfl
@[simp, norm_cast] lemma coe_id' : (id R M : M → M) = _root_.id := rfl
@[simp] lemma one_apply : (1 : M →L[R] M) x = x := rfl
section add
variables [topological_add_monoid M₂]
instance : has_add (M →L[R] M₂) :=
⟨λ f g, ⟨f + g, f.2.add g.2⟩⟩
@[simp] lemma add_apply : (f + g) x = f x + g x := rfl
@[simp, norm_cast] lemma coe_add : (((f + g) : M →L[R] M₂) : M →ₗ[R] M₂) = (f : M →ₗ[R] M₂) + g := rfl
@[norm_cast] lemma coe_add' : (((f + g) : M →L[R] M₂) : M → M₂) = (f : M → M₂) + g := rfl
instance : add_comm_monoid (M →L[R] M₂) :=
by { refine {zero := 0, add := (+), ..}; intros; ext;
apply_rules [zero_add, add_assoc, add_zero, add_left_neg, add_comm] }
lemma sum_apply {ι : Type*} (t : finset ι) (f : ι → M →L[R] M₂) (b : M) :
(∑ d in t, f d) b = ∑ d in t, f d b :=
begin
haveI : is_add_monoid_hom (λ (g : M →L[R] M₂), g b) :=
{ map_add := λ f g, continuous_linear_map.add_apply f g b, map_zero := by simp },
exact (finset.sum_hom t (λ g : M →L[R] M₂, g b)).symm
end
end add
/-- Composition of bounded linear maps. -/
def comp (g : M₂ →L[R] M₃) (f : M →L[R] M₂) : M →L[R] M₃ :=
⟨linear_map.comp g.to_linear_map f.to_linear_map, g.2.comp f.2⟩
@[simp, norm_cast] lemma coe_comp : ((h.comp f) : (M →ₗ[R] M₃)) = (h : M₂ →ₗ[R] M₃).comp f := rfl
@[simp, norm_cast] lemma coe_comp' : ((h.comp f) : (M → M₃)) = (h : M₂ → M₃) ∘ f := rfl
@[simp] theorem comp_id : f.comp (id R M) = f :=
ext $ λ x, rfl
@[simp] theorem id_comp : (id R M₂).comp f = f :=
ext $ λ x, rfl
@[simp] theorem comp_zero : f.comp (0 : M₃ →L[R] M) = 0 :=
by { ext, simp }
@[simp] theorem zero_comp : (0 : M₂ →L[R] M₃).comp f = 0 :=
by { ext, simp }
@[simp] lemma comp_add [topological_add_monoid M₂] [topological_add_monoid M₃]
(g : M₂ →L[R] M₃) (f₁ f₂ : M →L[R] M₂) :
g.comp (f₁ + f₂) = g.comp f₁ + g.comp f₂ :=
by { ext, simp }
@[simp] lemma add_comp [topological_add_monoid M₃]
(g₁ g₂ : M₂ →L[R] M₃) (f : M →L[R] M₂) :
(g₁ + g₂).comp f = g₁.comp f + g₂.comp f :=
by { ext, simp }
theorem comp_assoc (h : M₃ →L[R] M₄) (g : M₂ →L[R] M₃) (f : M →L[R] M₂) :
(h.comp g).comp f = h.comp (g.comp f) :=
rfl
instance : has_mul (M →L[R] M) := ⟨comp⟩
lemma mul_def (f g : M →L[R] M) : f * g = f.comp g := rfl
@[simp] lemma coe_mul (f g : M →L[R] M) : ⇑(f * g) = f ∘ g := rfl
lemma mul_apply (f g : M →L[R] M) (x : M) : (f * g) x = f (g x) := rfl
/-- The cartesian product of two bounded linear maps, as a bounded linear map. -/
protected def prod (f₁ : M →L[R] M₂) (f₂ : M →L[R] M₃) : M →L[R] (M₂ × M₃) :=
{ cont := f₁.2.prod_mk f₂.2,
..f₁.to_linear_map.prod f₂.to_linear_map }
@[simp, norm_cast] lemma coe_prod (f₁ : M →L[R] M₂) (f₂ : M →L[R] M₃) :
(f₁.prod f₂ : M →ₗ[R] M₂ × M₃) = linear_map.prod f₁ f₂ :=
rfl
@[simp, norm_cast] lemma prod_apply (f₁ : M →L[R] M₂) (f₂ : M →L[R] M₃) (x : M) :
f₁.prod f₂ x = (f₁ x, f₂ x) :=
rfl
/-- Kernel of a continuous linear map. -/
def ker (f : M →L[R] M₂) : submodule R M := (f : M →ₗ[R] M₂).ker
@[norm_cast] lemma ker_coe : (f : M →ₗ[R] M₂).ker = f.ker := rfl
@[simp] lemma mem_ker {f : M →L[R] M₂} {x} : x ∈ f.ker ↔ f x = 0 := linear_map.mem_ker
lemma is_closed_ker [t1_space M₂] : is_closed (f.ker : set M) :=
continuous_iff_is_closed.1 f.cont _ is_closed_singleton
@[simp] lemma apply_ker (x : f.ker) : f x = 0 := mem_ker.1 x.2
lemma is_complete_ker {M' : Type*} [uniform_space M'] [complete_space M'] [add_comm_monoid M']
[semimodule R M'] [t1_space M₂] (f : M' →L[R] M₂) :
is_complete (f.ker : set M') :=
f.is_closed_ker.is_complete
instance complete_space_ker {M' : Type*} [uniform_space M'] [complete_space M'] [add_comm_monoid M']
[semimodule R M'] [t1_space M₂] (f : M' →L[R] M₂) :
complete_space f.ker :=
f.is_closed_ker.complete_space_coe
@[simp] lemma ker_prod (f : M →L[R] M₂) (g : M →L[R] M₃) :
ker (f.prod g) = ker f ⊓ ker g :=
linear_map.ker_prod f g
/-- Range of a continuous linear map. -/
def range (f : M →L[R] M₂) : submodule R M₂ := (f : M →ₗ[R] M₂).range
lemma range_coe : (f.range : set M₂) = set.range f := linear_map.range_coe _
lemma mem_range {f : M →L[R] M₂} {y} : y ∈ f.range ↔ ∃ x, f x = y := linear_map.mem_range
lemma range_prod_le (f : M →L[R] M₂) (g : M →L[R] M₃) :
range (f.prod g) ≤ (range f).prod (range g) :=
(f : M →ₗ[R] M₂).range_prod_le g
/-- Restrict codomain of a continuous linear map. -/
def cod_restrict (f : M →L[R] M₂) (p : submodule R M₂) (h : ∀ x, f x ∈ p) :
M →L[R] p :=
{ cont := continuous_subtype_mk h f.continuous,
to_linear_map := (f : M →ₗ[R] M₂).cod_restrict p h}
@[norm_cast] lemma coe_cod_restrict (f : M →L[R] M₂) (p : submodule R M₂) (h : ∀ x, f x ∈ p) :
(f.cod_restrict p h : M →ₗ[R] p) = (f : M →ₗ[R] M₂).cod_restrict p h :=
rfl
@[simp] lemma coe_cod_restrict_apply (f : M →L[R] M₂) (p : submodule R M₂) (h : ∀ x, f x ∈ p) (x) :
(f.cod_restrict p h x : M₂) = f x :=
rfl
@[simp] lemma ker_cod_restrict (f : M →L[R] M₂) (p : submodule R M₂) (h : ∀ x, f x ∈ p) :
ker (f.cod_restrict p h) = ker f :=
(f : M →ₗ[R] M₂).ker_cod_restrict p h
/-- Embedding of a submodule into the ambient space as a continuous linear map. -/
def subtype_val (p : submodule R M) : p →L[R] M :=
{ cont := continuous_subtype_val,
to_linear_map := p.subtype }
@[simp, norm_cast] lemma coe_subtype_val (p : submodule R M) :
(subtype_val p : p →ₗ[R] M) = p.subtype :=
rfl
@[simp, norm_cast] lemma subtype_val_apply (p : submodule R M) (x : p) :
(subtype_val p : p → M) x = x :=
rfl
variables (R M M₂)
/-- `prod.fst` as a `continuous_linear_map`. -/
def fst : M × M₂ →L[R] M :=
{ cont := continuous_fst, to_linear_map := linear_map.fst R M M₂ }
/-- `prod.snd` as a `continuous_linear_map`. -/
def snd : M × M₂ →L[R] M₂ :=
{ cont := continuous_snd, to_linear_map := linear_map.snd R M M₂ }
variables {R M M₂}
@[simp, norm_cast] lemma coe_fst : (fst R M M₂ : M × M₂ →ₗ[R] M) = linear_map.fst R M M₂ := rfl
@[simp, norm_cast] lemma coe_fst' : (fst R M M₂ : M × M₂ → M) = prod.fst := rfl
@[simp, norm_cast] lemma coe_snd : (snd R M M₂ : M × M₂ →ₗ[R] M₂) = linear_map.snd R M M₂ := rfl
@[simp, norm_cast] lemma coe_snd' : (snd R M M₂ : M × M₂ → M₂) = prod.snd := rfl
@[simp] lemma fst_prod_snd : (fst R M M₂).prod (snd R M M₂) = id R (M × M₂) := ext $ λ ⟨x, y⟩, rfl
/-- `prod.map` of two continuous linear maps. -/
def prod_map (f₁ : M →L[R] M₂) (f₂ : M₃ →L[R] M₄) : (M × M₃) →L[R] (M₂ × M₄) :=
(f₁.comp (fst R M M₃)).prod (f₂.comp (snd R M M₃))
@[simp, norm_cast] lemma coe_prod_map (f₁ : M →L[R] M₂) (f₂ : M₃ →L[R] M₄) :
(f₁.prod_map f₂ : (M × M₃) →ₗ[R] (M₂ × M₄)) = ((f₁ : M →ₗ[R] M₂).prod_map (f₂ : M₃ →ₗ[R] M₄)) :=
rfl
@[simp, norm_cast] lemma coe_prod_map' (f₁ : M →L[R] M₂) (f₂ : M₃ →L[R] M₄) :
⇑(f₁.prod_map f₂) = prod.map f₁ f₂ :=
rfl
/-- The continuous linear map given by `(x, y) ↦ f₁ x + f₂ y`. -/
def coprod [topological_add_monoid M₃] (f₁ : M →L[R] M₃) (f₂ : M₂ →L[R] M₃) :
(M × M₂) →L[R] M₃ :=
⟨linear_map.coprod f₁ f₂, (f₁.cont.comp continuous_fst).add (f₂.cont.comp continuous_snd)⟩
@[norm_cast, simp] lemma coe_coprod [topological_add_monoid M₃]
(f₁ : M →L[R] M₃) (f₂ : M₂ →L[R] M₃) :
(f₁.coprod f₂ : (M × M₂) →ₗ[R] M₃) = linear_map.coprod f₁ f₂ :=
rfl
@[simp] lemma coprod_apply [topological_add_monoid M₃] (f₁ : M →L[R] M₃) (f₂ : M₂ →L[R] M₃) (x) :
f₁.coprod f₂ x = f₁ x.1 + f₂ x.2 := rfl
variables [topological_space R] [topological_semimodule R M₂]
/-- The linear map `λ x, c x • f`. Associates to a scalar-valued linear map and an element of
`M₂` the `M₂`-valued linear map obtained by multiplying the two (a.k.a. tensoring by `M₂`) -/
def smul_right (c : M →L[R] R) (f : M₂) : M →L[R] M₂ :=
{ cont := c.2.smul continuous_const,
..c.to_linear_map.smul_right f }
@[simp]
lemma smul_right_apply {c : M →L[R] R} {f : M₂} {x : M} :
(smul_right c f : M → M₂) x = (c : M → R) x • f :=
rfl
@[simp]
lemma smul_right_one_one (c : R →L[R] M₂) : smul_right 1 ((c : R → M₂) 1) = c :=
by ext; simp [-continuous_linear_map.map_smul, (continuous_linear_map.map_smul _ _ _).symm]
@[simp]
lemma smul_right_one_eq_iff {f f' : M₂} :
smul_right (1 : R →L[R] R) f = smul_right 1 f' ↔ f = f' :=
⟨λ h, have (smul_right (1 : R →L[R] R) f : R → M₂) 1 = (smul_right (1 : R →L[R] R) f' : R → M₂) 1,
by rw h,
by simp at this; assumption,
by cc⟩
lemma smul_right_comp [topological_semimodule R R] {x : M₂} {c : R} :
(smul_right 1 x : R →L[R] M₂).comp (smul_right 1 c : R →L[R] R) = smul_right 1 (c • x) :=
by { ext, simp [mul_smul] }
end semiring
section ring
variables
{R : Type*} [ring R]
{M : Type*} [topological_space M] [add_comm_group M]
{M₂ : Type*} [topological_space M₂] [add_comm_group M₂]
{M₃ : Type*} [topological_space M₃] [add_comm_group M₃]
{M₄ : Type*} [topological_space M₄] [add_comm_group M₄]
[semimodule R M] [semimodule R M₂] [semimodule R M₃] [semimodule R M₄]
variables (c : R) (f g : M →L[R] M₂) (h : M₂ →L[R] M₃) (x y z : M)
@[simp] lemma map_neg : f (-x) = - (f x) := (to_linear_map _).map_neg _
@[simp] lemma map_sub : f (x - y) = f x - f y := (to_linear_map _).map_sub _ _
@[simp] lemma sub_apply' (x : M) : ((f : M →ₗ[R] M₂) - g) x = f x - g x := rfl
lemma range_prod_eq {f : M →L[R] M₂} {g : M →L[R] M₃} (h : ker f ⊔ ker g = ⊤) :
range (f.prod g) = (range f).prod (range g) :=
linear_map.range_prod_eq h
section
variables [topological_add_group M₂]
instance : has_neg (M →L[R] M₂) := ⟨λ f, ⟨-f, f.2.neg⟩⟩
@[simp] lemma neg_apply : (-f) x = - (f x) := rfl
@[simp, norm_cast] lemma coe_neg : (((-f) : M →L[R] M₂) : M →ₗ[R] M₂) = -(f : M →ₗ[R] M₂) := rfl
@[norm_cast] lemma coe_neg' : (((-f) : M →L[R] M₂) : M → M₂) = -(f : M → M₂) := rfl
instance : add_comm_group (M →L[R] M₂) :=
by { refine {zero := 0, add := (+), neg := has_neg.neg, ..}; intros; ext;
apply_rules [zero_add, add_assoc, add_zero, add_left_neg, add_comm] }
lemma sub_apply (x : M) : (f - g) x = f x - g x := rfl
@[simp, norm_cast] lemma coe_sub : (((f - g) : M →L[R] M₂) : M →ₗ[R] M₂) = (f : M →ₗ[R] M₂) - g := rfl
@[simp, norm_cast] lemma coe_sub' : (((f - g) : M →L[R] M₂) : M → M₂) = (f : M → M₂) - g := rfl
end
instance [topological_add_group M] : ring (M →L[R] M) :=
{ mul := (*),
one := 1,
mul_one := λ _, ext $ λ _, rfl,
one_mul := λ _, ext $ λ _, rfl,
mul_assoc := λ _ _ _, ext $ λ _, rfl,
left_distrib := λ _ _ _, ext $ λ _, map_add _ _ _,
right_distrib := λ _ _ _, ext $ λ _, linear_map.add_apply _ _ _,
..continuous_linear_map.add_comm_group }
lemma smul_right_one_pow [topological_space R]
[topological_add_group R] [topological_semimodule R R] (c : R) (n : ℕ) :
(smul_right 1 c : R →L[R] R)^n = smul_right 1 (c^n) :=
begin
induction n with n ihn,
{ ext, simp },
{ rw [pow_succ, ihn, mul_def, smul_right_comp, smul_eq_mul, pow_succ'] }
end
/-- Given a right inverse `f₂ : M₂ →L[R] M` to `f₁ : M →L[R] M₂`,
`proj_ker_of_right_inverse f₁ f₂ h` is the projection `M →L[R] f₁.ker` along `f₂.range`. -/
def proj_ker_of_right_inverse [topological_add_group M] (f₁ : M →L[R] M₂) (f₂ : M₂ →L[R] M)
(h : function.right_inverse f₂ f₁) :
M →L[R] f₁.ker :=
(id R M - f₂.comp f₁).cod_restrict f₁.ker $ λ x, by simp [h (f₁ x)]
@[simp] lemma coe_proj_ker_of_right_inverse_apply [topological_add_group M]
(f₁ : M →L[R] M₂) (f₂ : M₂ →L[R] M) (h : function.right_inverse f₂ f₁) (x : M) :
(f₁.proj_ker_of_right_inverse f₂ h x : M) = x - f₂ (f₁ x) :=
rfl
@[simp] lemma proj_ker_of_right_inverse_apply_idem [topological_add_group M]
(f₁ : M →L[R] M₂) (f₂ : M₂ →L[R] M) (h : function.right_inverse f₂ f₁) (x : f₁.ker) :
f₁.proj_ker_of_right_inverse f₂ h x = x :=
subtype.ext_iff_val.2 $ by simp
@[simp] lemma proj_ker_of_right_inverse_comp_inv [topological_add_group M]
(f₁ : M →L[R] M₂) (f₂ : M₂ →L[R] M) (h : function.right_inverse f₂ f₁) (y : M₂) :
f₁.proj_ker_of_right_inverse f₂ h (f₂ y) = 0 :=
subtype.ext_iff_val.2 $ by simp [h y]
end ring
section comm_ring
variables
{R : Type*} [comm_ring R] [topological_space R]
{M : Type*} [topological_space M] [add_comm_group M]
{M₂ : Type*} [topological_space M₂] [add_comm_group M₂]
{M₃ : Type*} [topological_space M₃] [add_comm_group M₃]
[module R M] [module R M₂] [module R M₃] [topological_module R M₃]
instance : has_scalar R (M →L[R] M₃) :=
⟨λ c f, ⟨c • f, continuous_const.smul f.2⟩⟩
variables (c : R) (h : M₂ →L[R] M₃) (f g : M →L[R] M₂) (x y z : M)
@[simp] lemma smul_comp : (c • h).comp f = c • (h.comp f) := rfl
variable [topological_module R M₂]
@[simp] lemma smul_apply : (c • f) x = c • (f x) := rfl
@[simp, norm_cast] lemma coe_apply : (((c • f) : M →L[R] M₂) : M →ₗ[R] M₂) = c • (f : M →ₗ[R] M₂) := rfl
@[norm_cast] lemma coe_apply' : (((c • f) : M →L[R] M₂) : M → M₂) = c • (f : M → M₂) := rfl
@[simp] lemma comp_smul : h.comp (c • f) = c • (h.comp f) := by { ext, simp }
variable [topological_add_group M₂]
instance : module R (M →L[R] M₂) :=
{ smul_zero := λ _, ext $ λ _, smul_zero _,
zero_smul := λ _, ext $ λ _, zero_smul _ _,
one_smul := λ _, ext $ λ _, one_smul _ _,
mul_smul := λ _ _ _, ext $ λ _, mul_smul _ _ _,
add_smul := λ _ _ _, ext $ λ _, add_smul _ _ _,
smul_add := λ _ _ _, ext $ λ _, smul_add _ _ _ }
instance : algebra R (M₂ →L[R] M₂) :=
algebra.of_semimodule' (λ c f, ext $ λ x, rfl) (λ c f, ext $ λ x, f.map_smul c x)
end comm_ring
end continuous_linear_map
namespace continuous_linear_equiv
section add_comm_monoid
variables {R : Type*} [semiring R]
{M : Type*} [topological_space M] [add_comm_monoid M]
{M₂ : Type*} [topological_space M₂] [add_comm_monoid M₂]
{M₃ : Type*} [topological_space M₃] [add_comm_monoid M₃]
{M₄ : Type*} [topological_space M₄] [add_comm_monoid M₄]
[semimodule R M] [semimodule R M₂] [semimodule R M₃] [semimodule R M₄]
/-- A continuous linear equivalence induces a continuous linear map. -/
def to_continuous_linear_map (e : M ≃L[R] M₂) : M →L[R] M₂ :=
{ cont := e.continuous_to_fun,
..e.to_linear_equiv.to_linear_map }
/-- Coerce continuous linear equivs to continuous linear maps. -/
instance : has_coe (M ≃L[R] M₂) (M →L[R] M₂) := ⟨to_continuous_linear_map⟩
/-- Coerce continuous linear equivs to maps. -/
-- see Note [function coercion]
instance : has_coe_to_fun (M ≃L[R] M₂) := ⟨λ _, M → M₂, λ f, f⟩
@[simp] theorem coe_def_rev (e : M ≃L[R] M₂) : e.to_continuous_linear_map = e := rfl
@[simp] theorem coe_apply (e : M ≃L[R] M₂) (b : M) : (e : M →L[R] M₂) b = e b := rfl
@[norm_cast] lemma coe_coe (e : M ≃L[R] M₂) : ((e : M →L[R] M₂) : M → M₂) = e := rfl
@[ext] lemma ext {f g : M ≃L[R] M₂} (h : (f : M → M₂) = g) : f = g :=
begin
cases f; cases g,
simp only,
ext x,
induction h,
refl
end
/-- A continuous linear equivalence induces a homeomorphism. -/
def to_homeomorph (e : M ≃L[R] M₂) : M ≃ₜ M₂ := { ..e }
-- Make some straightforward lemmas available to `simp`.
@[simp] lemma map_zero (e : M ≃L[R] M₂) : e (0 : M) = 0 := (e : M →L[R] M₂).map_zero
@[simp] lemma map_add (e : M ≃L[R] M₂) (x y : M) : e (x + y) = e x + e y :=
(e : M →L[R] M₂).map_add x y
@[simp] lemma map_smul (e : M ≃L[R] M₂) (c : R) (x : M) : e (c • x) = c • (e x) :=
(e : M →L[R] M₂).map_smul c x
@[simp] lemma map_eq_zero_iff (e : M ≃L[R] M₂) {x : M} : e x = 0 ↔ x = 0 :=
e.to_linear_equiv.map_eq_zero_iff
protected lemma continuous (e : M ≃L[R] M₂) : continuous (e : M → M₂) :=
e.continuous_to_fun
protected lemma continuous_on (e : M ≃L[R] M₂) {s : set M} : continuous_on (e : M → M₂) s :=
e.continuous.continuous_on
protected lemma continuous_at (e : M ≃L[R] M₂) {x : M} : continuous_at (e : M → M₂) x :=
e.continuous.continuous_at
protected lemma continuous_within_at (e : M ≃L[R] M₂) {s : set M} {x : M} :
continuous_within_at (e : M → M₂) s x :=
e.continuous.continuous_within_at
lemma comp_continuous_on_iff
{α : Type*} [topological_space α] (e : M ≃L[R] M₂) (f : α → M) (s : set α) :
continuous_on (e ∘ f) s ↔ continuous_on f s :=
e.to_homeomorph.comp_continuous_on_iff _ _
lemma comp_continuous_iff
{α : Type*} [topological_space α] (e : M ≃L[R] M₂) (f : α → M) :
continuous (e ∘ f) ↔ continuous f :=
e.to_homeomorph.comp_continuous_iff _
/-- An extensionality lemma for `R ≃L[R] M`. -/
lemma ext₁ [topological_space R] {f g : R ≃L[R] M} (h : f 1 = g 1) : f = g :=
ext $ funext $ λ x, mul_one x ▸ by rw [← smul_eq_mul, map_smul, h, map_smul]
section
variables (R M)
/-- The identity map as a continuous linear equivalence. -/
@[refl] protected def refl : M ≃L[R] M :=
{ continuous_to_fun := continuous_id,
continuous_inv_fun := continuous_id,
.. linear_equiv.refl R M }
end
@[simp, norm_cast] lemma coe_refl :
(continuous_linear_equiv.refl R M : M →L[R] M) = continuous_linear_map.id R M := rfl
@[simp, norm_cast] lemma coe_refl' :
(continuous_linear_equiv.refl R M : M → M) = id := rfl
/-- The inverse of a continuous linear equivalence as a continuous linear equivalence-/
@[symm] protected def symm (e : M ≃L[R] M₂) : M₂ ≃L[R] M :=
{ continuous_to_fun := e.continuous_inv_fun,
continuous_inv_fun := e.continuous_to_fun,
.. e.to_linear_equiv.symm }
@[simp] lemma symm_to_linear_equiv (e : M ≃L[R] M₂) :
e.symm.to_linear_equiv = e.to_linear_equiv.symm :=
by { ext, refl }
/-- The composition of two continuous linear equivalences as a continuous linear equivalence. -/
@[trans] protected def trans (e₁ : M ≃L[R] M₂) (e₂ : M₂ ≃L[R] M₃) : M ≃L[R] M₃ :=
{ continuous_to_fun := e₂.continuous_to_fun.comp e₁.continuous_to_fun,
continuous_inv_fun := e₁.continuous_inv_fun.comp e₂.continuous_inv_fun,
.. e₁.to_linear_equiv.trans e₂.to_linear_equiv }
@[simp] lemma trans_to_linear_equiv (e₁ : M ≃L[R] M₂) (e₂ : M₂ ≃L[R] M₃) :
(e₁.trans e₂).to_linear_equiv = e₁.to_linear_equiv.trans e₂.to_linear_equiv :=
by { ext, refl }
/-- Product of two continuous linear equivalences. The map comes from `equiv.prod_congr`. -/
def prod (e : M ≃L[R] M₂) (e' : M₃ ≃L[R] M₄) : (M × M₃) ≃L[R] (M₂ × M₄) :=
{ continuous_to_fun := e.continuous_to_fun.prod_map e'.continuous_to_fun,
continuous_inv_fun := e.continuous_inv_fun.prod_map e'.continuous_inv_fun,
.. e.to_linear_equiv.prod e'.to_linear_equiv }
@[simp, norm_cast] lemma prod_apply (e : M ≃L[R] M₂) (e' : M₃ ≃L[R] M₄) (x) :
e.prod e' x = (e x.1, e' x.2) := rfl
@[simp, norm_cast] lemma coe_prod (e : M ≃L[R] M₂) (e' : M₃ ≃L[R] M₄) :
(e.prod e' : (M × M₃) →L[R] (M₂ × M₄)) = (e : M →L[R] M₂).prod_map (e' : M₃ →L[R] M₄) :=
rfl
theorem bijective (e : M ≃L[R] M₂) : function.bijective e := e.to_linear_equiv.to_equiv.bijective
theorem injective (e : M ≃L[R] M₂) : function.injective e := e.to_linear_equiv.to_equiv.injective
theorem surjective (e : M ≃L[R] M₂) : function.surjective e := e.to_linear_equiv.to_equiv.surjective
@[simp] theorem apply_symm_apply (e : M ≃L[R] M₂) (c : M₂) : e (e.symm c) = c := e.1.6 c
@[simp] theorem symm_apply_apply (e : M ≃L[R] M₂) (b : M) : e.symm (e b) = b := e.1.5 b
@[simp] theorem coe_comp_coe_symm (e : M ≃L[R] M₂) :
(e : M →L[R] M₂).comp (e.symm : M₂ →L[R] M) = continuous_linear_map.id R M₂ :=
continuous_linear_map.ext e.apply_symm_apply
@[simp] theorem coe_symm_comp_coe (e : M ≃L[R] M₂) :
(e.symm : M₂ →L[R] M).comp (e : M →L[R] M₂) = continuous_linear_map.id R M :=
continuous_linear_map.ext e.symm_apply_apply
lemma symm_comp_self (e : M ≃L[R] M₂) :
(e.symm : M₂ → M) ∘ (e : M → M₂) = id :=
by{ ext x, exact symm_apply_apply e x }
lemma self_comp_symm (e : M ≃L[R] M₂) :
(e : M → M₂) ∘ (e.symm : M₂ → M) = id :=
by{ ext x, exact apply_symm_apply e x }
@[simp] lemma symm_comp_self' (e : M ≃L[R] M₂) :
((e.symm : M₂ →L[R] M) : M₂ → M) ∘ ((e : M →L[R] M₂) : M → M₂) = id :=
symm_comp_self e
@[simp] lemma self_comp_symm' (e : M ≃L[R] M₂) :
((e : M →L[R] M₂) : M → M₂) ∘ ((e.symm : M₂ →L[R] M) : M₂ → M) = id :=
self_comp_symm e
@[simp] theorem symm_symm (e : M ≃L[R] M₂) : e.symm.symm = e :=
by { ext x, refl }
theorem symm_symm_apply (e : M ≃L[R] M₂) (x : M) : e.symm.symm x = e x :=
rfl
lemma symm_apply_eq (e : M ≃L[R] M₂) {x y} : e.symm x = y ↔ x = e y :=
e.to_linear_equiv.symm_apply_eq
lemma eq_symm_apply (e : M ≃L[R] M₂) {x y} : y = e.symm x ↔ e y = x :=
e.to_linear_equiv.eq_symm_apply
/-- Create a `continuous_linear_equiv` from two `continuous_linear_map`s that are
inverse of each other. -/
def equiv_of_inverse (f₁ : M →L[R] M₂) (f₂ : M₂ →L[R] M) (h₁ : function.left_inverse f₂ f₁)
(h₂ : function.right_inverse f₂ f₁) :
M ≃L[R] M₂ :=
{ to_fun := f₁,
continuous_to_fun := f₁.continuous,
inv_fun := f₂,
continuous_inv_fun := f₂.continuous,
left_inv := h₁,
right_inv := h₂,
.. f₁ }
@[simp] lemma equiv_of_inverse_apply (f₁ : M →L[R] M₂) (f₂ h₁ h₂ x) :
equiv_of_inverse f₁ f₂ h₁ h₂ x = f₁ x :=
rfl
@[simp] lemma symm_equiv_of_inverse (f₁ : M →L[R] M₂) (f₂ h₁ h₂) :
(equiv_of_inverse f₁ f₂ h₁ h₂).symm = equiv_of_inverse f₂ f₁ h₂ h₁ :=
rfl
end add_comm_monoid
section add_comm_group
variables {R : Type*} [semiring R]
{M : Type*} [topological_space M] [add_comm_group M]
{M₂ : Type*} [topological_space M₂] [add_comm_group M₂]
{M₃ : Type*} [topological_space M₃] [add_comm_group M₃]
{M₄ : Type*} [topological_space M₄] [add_comm_group M₄]
[semimodule R M] [semimodule R M₂] [semimodule R M₃] [semimodule R M₄]
variables [topological_add_group M₄]
/-- Equivalence given by a block lower diagonal matrix. `e` and `e'` are diagonal square blocks,
and `f` is a rectangular block below the diagonal. -/
def skew_prod (e : M ≃L[R] M₂) (e' : M₃ ≃L[R] M₄) (f : M →L[R] M₄) :
(M × M₃) ≃L[R] M₂ × M₄ :=
{ continuous_to_fun := (e.continuous_to_fun.comp continuous_fst).prod_mk
((e'.continuous_to_fun.comp continuous_snd).add $ f.continuous.comp continuous_fst),
continuous_inv_fun := (e.continuous_inv_fun.comp continuous_fst).prod_mk
(e'.continuous_inv_fun.comp $ continuous_snd.sub $ f.continuous.comp $
e.continuous_inv_fun.comp continuous_fst),
.. e.to_linear_equiv.skew_prod e'.to_linear_equiv ↑f }
@[simp] lemma skew_prod_apply (e : M ≃L[R] M₂) (e' : M₃ ≃L[R] M₄) (f : M →L[R] M₄) (x) :
e.skew_prod e' f x = (e x.1, e' x.2 + f x.1) := rfl
@[simp] lemma skew_prod_symm_apply (e : M ≃L[R] M₂) (e' : M₃ ≃L[R] M₄) (f : M →L[R] M₄) (x) :
(e.skew_prod e' f).symm x = (e.symm x.1, e'.symm (x.2 - f (e.symm x.1))) := rfl
end add_comm_group
section ring
variables {R : Type*} [ring R]
{M : Type*} [topological_space M] [add_comm_group M] [semimodule R M]
{M₂ : Type*} [topological_space M₂] [add_comm_group M₂] [semimodule R M₂]
@[simp] lemma map_sub (e : M ≃L[R] M₂) (x y : M) : e (x - y) = e x - e y :=
(e : M →L[R] M₂).map_sub x y
@[simp] lemma map_neg (e : M ≃L[R] M₂) (x : M) : e (-x) = -e x := (e : M →L[R] M₂).map_neg x
section
variables (R) [topological_space R] [topological_module R R]
/-- Continuous linear equivalences `R ≃L[R] R` are enumerated by `units R`. -/
def units_equiv_aut : units R ≃ (R ≃L[R] R) :=
{ to_fun := λ u, equiv_of_inverse
(continuous_linear_map.smul_right 1 ↑u)
(continuous_linear_map.smul_right 1 ↑u⁻¹)
(λ x, by simp) (λ x, by simp),
inv_fun := λ e, ⟨e 1, e.symm 1,
by rw [← smul_eq_mul, ← map_smul, smul_eq_mul, mul_one, symm_apply_apply],
by rw [← smul_eq_mul, ← map_smul, smul_eq_mul, mul_one, apply_symm_apply]⟩,
left_inv := λ u, units.ext $ by simp,
right_inv := λ e, ext₁ $ by simp }
variable {R}
@[simp] lemma units_equiv_aut_apply (u : units R) (x : R) : units_equiv_aut R u x = x * u := rfl
@[simp] lemma units_equiv_aut_apply_symm (u : units R) (x : R) :
(units_equiv_aut R u).symm x = x * ↑u⁻¹ := rfl
@[simp] lemma units_equiv_aut_symm_apply (e : R ≃L[R] R) :
↑((units_equiv_aut R).symm e) = e 1 :=
rfl
end
variables [topological_add_group M]
open continuous_linear_map (id fst snd subtype_val mem_ker)
/-- A pair of continuous linear maps such that `f₁ ∘ f₂ = id` generates a continuous
linear equivalence `e` between `M` and `M₂ × f₁.ker` such that `(e x).2 = x` for `x ∈ f₁.ker`,
`(e x).1 = f₁ x`, and `(e (f₂ y)).2 = 0`. The map is given by `e x = (f₁ x, x - f₂ (f₁ x))`. -/
def equiv_of_right_inverse (f₁ : M →L[R] M₂) (f₂ : M₂ →L[R] M) (h : function.right_inverse f₂ f₁) :
M ≃L[R] M₂ × f₁.ker :=
equiv_of_inverse (f₁.prod (f₁.proj_ker_of_right_inverse f₂ h)) (f₂.coprod (subtype_val f₁.ker))
(λ x, by simp)
(λ ⟨x, y⟩, by simp [h x])
@[simp] lemma fst_equiv_of_right_inverse (f₁ : M →L[R] M₂) (f₂ : M₂ →L[R] M)
(h : function.right_inverse f₂ f₁) (x : M) :
(equiv_of_right_inverse f₁ f₂ h x).1 = f₁ x := rfl
@[simp] lemma snd_equiv_of_right_inverse (f₁ : M →L[R] M₂) (f₂ : M₂ →L[R] M)
(h : function.right_inverse f₂ f₁) (x : M) :
((equiv_of_right_inverse f₁ f₂ h x).2 : M) = x - f₂ (f₁ x) := rfl
@[simp] lemma equiv_of_right_inverse_symm_apply (f₁ : M →L[R] M₂) (f₂ : M₂ →L[R] M)
(h : function.right_inverse f₂ f₁) (y : M₂ × f₁.ker) :
(equiv_of_right_inverse f₁ f₂ h).symm y = f₂ y.1 + y.2 := rfl
end ring
end continuous_linear_equiv
namespace submodule
variables
{R : Type*} [ring R]
{M : Type*} [topological_space M] [add_comm_group M] [module R M]
{M₂ : Type*} [topological_space M₂] [add_comm_group M₂] [module R M₂]
open continuous_linear_map
/-- A submodule `p` is called *complemented* if there exists a continuous projection `M →ₗ[R] p`. -/
def closed_complemented (p : submodule R M) : Prop := ∃ f : M →L[R] p, ∀ x : p, f x = x
lemma closed_complemented.has_closed_complement {p : submodule R M} [t1_space p]
(h : closed_complemented p) :
∃ (q : submodule R M) (hq : is_closed (q : set M)), is_compl p q :=
exists.elim h $ λ f hf, ⟨f.ker, f.is_closed_ker, linear_map.is_compl_of_proj hf⟩
protected lemma closed_complemented.is_closed [topological_add_group M] [t1_space M]
{p : submodule R M} (h : closed_complemented p) :
is_closed (p : set M) :=
begin
rcases h with ⟨f, hf⟩,
have : ker (id R M - (subtype_val p).comp f) = p := linear_map.ker_id_sub_eq_of_proj hf,
exact this ▸ (is_closed_ker _)
end
@[simp] lemma closed_complemented_bot : closed_complemented (⊥ : submodule R M) :=
⟨0, λ x, by simp only [zero_apply, eq_zero_of_bot_submodule x]⟩
@[simp] lemma closed_complemented_top : closed_complemented (⊤ : submodule R M) :=
⟨(id R M).cod_restrict ⊤ (λ x, trivial), λ x, subtype.ext_iff_val.2 $ by simp⟩
end submodule
lemma continuous_linear_map.closed_complemented_ker_of_right_inverse {R : Type*} [ring R]
{M : Type*} [topological_space M] [add_comm_group M]
{M₂ : Type*} [topological_space M₂] [add_comm_group M₂] [module R M] [module R M₂]
[topological_add_group M] (f₁ : M →L[R] M₂) (f₂ : M₂ →L[R] M)
(h : function.right_inverse f₂ f₁) :
f₁.ker.closed_complemented :=
⟨f₁.proj_ker_of_right_inverse f₂ h, f₁.proj_ker_of_right_inverse_apply_idem f₂ h⟩
|
006d7a7a7b66957b927dbc3c5acc1a409f524dc0 | c062f1c97fdef9ac746f08754e7d766fd6789aa9 | /data/list/perm.lean | aea6b0c6428ca05a7cd3bed92c359e2747fe04e3 | [] | no_license | emberian/library_dev | 00c7a985b21bdebe912f4127a363f2874e1e7555 | f3abd7db0238edc18a397540e361a1da2f51503c | refs/heads/master | 1,624,153,474,804 | 1,490,147,180,000 | 1,490,147,180,000 | null | 0 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 49,576 | lean | /-
Copyright (c) 2015 Microsoft Corporation. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Leonardo de Moura, Jeremy Avigad
List permutations.
-/
import .basic .comb .set
-- TODO(Jeremy): Here is a common idiom: after simplifying, we have a goal 1 + t = nat.succ t
-- and need to say rw [add_comm, reflexivity]. Can we get the simplifier to finish this off?
namespace list
universe variables uu vv
variables {α : Type uu} {β : Type vv}
inductive perm : list α → list α → Prop
| nil : perm [] []
| skip : Π (x : α) {l₁ l₂ : list α}, perm l₁ l₂ → perm (x::l₁) (x::l₂)
| swap : Π (x y : α) (l : list α), perm (y::x::l) (x::y::l)
| trans : Π {l₁ l₂ l₃ : list α}, perm l₁ l₂ → perm l₂ l₃ → perm l₁ l₃
namespace perm
infix ~ := perm
theorem eq_nil_of_perm_nil {l₁ : list α} (p : ([] : list α) ~ l₁) : l₁ = ([] : list α) :=
have gen : ∀ (l₂ : list α) (p : l₂ ~ l₁), l₂ = ([] : list α) → l₁ = ([] : list α), from
take l₂ p, perm.rec_on p
(λ h, h)
(begin intros, contradiction end)
(begin intros, contradiction end)
(λ l₁ l₂ l₃ p₁ p₂ r₁ r₂ e, r₂ (r₁ e)),
gen [] p rfl
theorem not_perm_nil_cons (x : α) (l : list α) : ¬ [] ~ (x::l) :=
have gen : ∀ (l₁ l₂ : list α) (p : l₁ ~ l₂), l₁ = [] → l₂ = (x::l) → false, from
take l₁ l₂ p, perm.rec_on p
(begin intros, contradiction end)
(begin intros, contradiction end)
(begin intros, contradiction end)
(λ l₁ l₂ l₃ p₁ p₂ r₁ r₂ e₁ e₂,
begin
rw e₂ at r₂, rw e₂ at p₂, rw e₁ at r₁, rw e₁ at p₁,
have e₃ : l₂ = [], from eq_nil_of_perm_nil p₁,
r₂ e₃ rfl
end),
assume p, gen [] (x::l) p rfl rfl
@[refl]
protected theorem refl : ∀ (l : list α), l ~ l
| [] := nil
| (x::xs) := skip x (refl xs)
@[symm]
protected theorem symm : ∀ {l₁ l₂ : list α}, l₁ ~ l₂ → l₂ ~ l₁ :=
take l₁ l₂ p, perm.rec_on p
nil
(λ x l₁ l₂ p₁ r₁, skip x r₁)
(λ x y l, swap y x l)
(λ l₁ l₂ l₃ p₁ p₂ r₁ r₂, trans r₂ r₁)
attribute [trans] perm.trans
theorem eqv (α : Type) : equivalence (@perm α) :=
mk_equivalence (@perm α) (@perm.refl α) (@perm.symm α) (@perm.trans α)
attribute [instance]
protected definition is_setoid (α : Type) : setoid (list α) :=
setoid.mk (@perm α) (perm.eqv α)
theorem mem_of_perm {a : α} {l₁ l₂ : list α} : l₁ ~ l₂ → a ∈ l₁ → a ∈ l₂ :=
assume p, perm.rec_on p
(λ h, h)
(λ x l₁ l₂ p₁ r₁ i, or.elim (eq_or_mem_of_mem_cons i)
(suppose a = x, begin rw this, apply mem_cons_self end)
(suppose a ∈ l₁, or.inr (r₁ this)))
(λ x y l ainyxl, or.elim (eq_or_mem_of_mem_cons ainyxl)
(suppose a = y, begin rw this, exact (or.inr (mem_cons_self _ _)) end)
(suppose a ∈ x::l, or.elim (eq_or_mem_of_mem_cons this)
(suppose a = x, or.inl this)
(suppose a ∈ l, or.inr (or.inr this))))
(λ l₁ l₂ l₃ p₁ p₂ r₁ r₂ ainl₁, r₂ (r₁ ainl₁))
theorem not_mem_of_perm {a : α} {l₁ l₂ : list α} : l₁ ~ l₂ → a ∉ l₁ → a ∉ l₂ :=
assume p nainl₁ ainl₂, absurd (mem_of_perm (perm.symm p) ainl₂) nainl₁
theorem mem_iff_mem_of_perm {a : α} {l₁ l₂ : list α} (h : l₁ ~ l₂) : a ∈ l₁ ↔ a ∈ l₂ :=
iff.intro (mem_of_perm h) (mem_of_perm h^.symm)
theorem perm_app_left {l₁ l₂ : list α} (t₁ : list α) : l₁ ~ l₂ → (l₁++t₁) ~ (l₂++t₁) :=
assume p, perm.rec_on p
(perm.refl (list.nil ++ t₁))
(λ x l₁ l₂ p₁ r₁, skip x r₁)
(λ x y l, swap x y _)
(λ l₁ l₂ l₃ p₁ p₂ r₁ r₂, trans r₁ r₂)
theorem perm_app_right (l : list α) {t₁ t₂ : list α} : t₁ ~ t₂ → (l++t₁) ~ (l++t₂) :=
list.rec_on l
(λ p, p)
(λ x xs r p, skip x (r p))
theorem perm_app {l₁ l₂ t₁ t₂ : list α} : l₁ ~ l₂ → t₁ ~ t₂ → (l₁++t₁) ~ (l₂++t₂) :=
assume p₁ p₂, trans (perm_app_left t₁ p₁) (perm_app_right l₂ p₂)
theorem perm_app_cons (a : α) {h₁ h₂ t₁ t₂ : list α} :
h₁ ~ h₂ → t₁ ~ t₂ → (h₁ ++ (a::t₁)) ~ (h₂ ++ (a::t₂)) :=
assume p₁ p₂, perm_app p₁ (skip a p₂)
theorem perm_cons_app (a : α) : ∀ (l : list α), (a::l) ~ (l ++ [a])
| [] := perm.refl _
| (x::xs) := calc
a::x::xs ~ x::a::xs : swap x a xs
... ~ x::(xs++[a]) : skip x (perm_cons_app xs)
@[simp]
theorem perm_cons_app_simp (a : α) : ∀ (l : list α), (l ++ [a]) ~ (a::l) :=
take l, perm.symm (perm_cons_app a l)
@[simp]
theorem perm_app_comm {l₁ l₂ : list α} : (l₁++l₂) ~ (l₂++l₁) :=
list.rec_on l₁
(by simp)
(λ a t r, calc
a::(t++l₂) ~ a::(l₂++t) : skip a r
... ~ l₂++t++[a] : perm_cons_app _ _
... = l₂++(t++[a]) : by rw append.assoc
... ~ l₂++(a::t) : perm_app_right l₂ (perm.symm (perm_cons_app a t)))
theorem length_eq_length_of_perm {l₁ l₂ : list α} : l₁ ~ l₂ → length l₁ = length l₂ :=
assume p, perm.rec_on p
rfl
(λ x l₁ l₂ p r, by rw [length_cons, length_cons, r])
(λ x y l, by repeat { rw length_cons })
(λ l₁ l₂ l₃ p₁ p₂ r₁ r₂, eq.trans r₁ r₂)
theorem eq_singleton_of_perm_inv (a : α) {l : list α} : [a] ~ l → l = [a] :=
have gen : ∀ l₂, perm l₂ l → l₂ = [a] → l = [a], from
take l₂, assume p, perm.rec_on p
(λ e, e)
(λ x l₁ l₂ p r e,
begin
injection e with e₁ e₂,
rw e₁, rw e₂ at p,
assert h₁ : l₂ = [], exact eq_nil_of_perm_nil p,
subst h₁
end)
(λ x y l e, begin injection e, contradiction end)
(λ l₁ l₂ l₃ p₁ p₂ r₁ r₂ e, r₂ (r₁ e)),
assume p, gen [a] p rfl
theorem eq_singleton_of_perm (a b : α) : [a] ~ [b] → a = b :=
assume p,
begin
injection eq_singleton_of_perm_inv a p with e₁,
rw e₁
end
theorem perm_rev : ∀ (l : list α), l ~ (reverse l)
| [] := nil
| (x::xs) := calc
x::xs ~ xs++[x] : perm_cons_app x xs
... ~ reverse xs ++ [x] : perm_app_left [x] (perm_rev xs)
... = reverse (x::xs) : by rw [reverse_cons, concat_eq_append]
@[simp]
theorem perm_rev_simp : ∀ (l : list α), (reverse l) ~ l :=
take l, perm.symm (perm_rev l)
theorem perm_middle (a : α) (l₁ l₂ : list α) : (a::l₁)++l₂ ~ l₁++(a::l₂) :=
calc
(a::l₁) ++ l₂ = a::(l₁++l₂) : rfl
... ~ l₁++l₂++[a] : perm_cons_app a (l₁ ++ l₂)
... = l₁++(l₂++[a]) : append.assoc l₁ l₂ [a]
... ~ l₁++(a::l₂) : perm_app_right l₁ (perm.symm (perm_cons_app a l₂))
attribute [simp]
theorem perm_middle_simp (a : α) (l₁ l₂ : list α) : l₁++(a::l₂) ~ (a::l₁)++l₂ :=
perm.symm $ perm_middle a l₁ l₂
theorem perm_cons_app_cons {l l₁ l₂ : list α} (a : α) : l ~ l₁++l₂ → a::l ~ l₁++(a::l₂) :=
assume p, calc
a::l ~ l++[a] : perm_cons_app a l
... ~ l₁++l₂++[a] : perm_app_left [a] p
... = l₁++(l₂++[a]) : append.assoc l₁ l₂ [a]
... ~ l₁++(a::l₂) : perm_app_right l₁ (perm.symm (perm_cons_app a l₂))
open decidable
theorem perm_erase [decidable_eq α] {a : α} : ∀ {l : list α}, a ∈ l → l ~ a::(erase a l)
| [] h := absurd h (not_mem_nil _)
| (x::t) h :=
by_cases
(assume aeqx : a = x, by rw [aeqx, erase_cons_head])
(assume naeqx : a ≠ x,
have aint : a ∈ t, from mem_of_ne_of_mem naeqx h,
have aux : t ~ a :: erase a t, from perm_erase aint,
calc x::t ~ x::a::(erase a t) : skip x aux
... ~ a::x::(erase a t) : (swap _ _ _)
... = a::(erase a (x::t)) : by rw [erase_cons_tail _ naeqx])
-- attribute [congr]
theorem erase_perm_erase_of_perm [decidable_eq α] (a : α) {l₁ l₂ : list α} :
l₁ ~ l₂ → erase a l₁ ~ erase a l₂ :=
assume p, perm.rec_on p
nil
(λ x t₁ t₂ p r,
by_cases
(assume aeqx : a = x, begin simp [aeqx, erase_cons_head], exact p end)
(assume naeqx : a ≠ x, begin rw [erase_cons_tail _ naeqx, erase_cons_tail _ naeqx],
exact (skip x r) end))
(λ x y l,
by_cases
(assume aeqx : a = x,
by_cases
(assume aeqy : a = y, by rw [-aeqx, -aeqy])
(assume naeqy : a ≠ y, by rw [-aeqx, erase_cons_tail _ naeqy, erase_cons_head,
erase_cons_head]))
(assume naeqx : a ≠ x,
by_cases
(assume aeqy : a = y, by rw [-aeqy, erase_cons_tail _ naeqx, erase_cons_head,
erase_cons_head])
(assume naeqy : a ≠ y, begin rw [erase_cons_tail _ naeqx, erase_cons_tail _ naeqy,
erase_cons_tail _ naeqx, erase_cons_tail _ naeqy],
apply swap end)))
(λ l₁ l₂ l₃ p₁ p₂ r₁ r₂, trans r₁ r₂)
@[elab_as_eliminator]
theorem perm_induction_on {P : list α → list α → Prop} {l₁ l₂ : list α} (p : l₁ ~ l₂)
(h₁ : P [] [])
(h₂ : ∀ x l₁ l₂, l₁ ~ l₂ → P l₁ l₂ → P (x::l₁) (x::l₂))
(h₃ : ∀ x y l₁ l₂, l₁ ~ l₂ → P l₁ l₂ → P (y::x::l₁) (x::y::l₂))
(h₄ : ∀ l₁ l₂ l₃, l₁ ~ l₂ → l₂ ~ l₃ → P l₁ l₂ → P l₂ l₃ → P l₁ l₃) :
P l₁ l₂ :=
have P_refl : ∀ l, P l l, from
take l,
list.rec_on l h₁ (λ x xs ih, h₂ x xs xs (perm.refl xs) ih),
perm.rec_on p h₁ h₂ (λ x y l, h₃ x y l l (perm.refl l) (P_refl l)) h₄
theorem xswap {l₁ l₂ : list α} (x y : α) : l₁ ~ l₂ → x::y::l₁ ~ y::x::l₂ :=
assume p, calc
x::y::l₁ ~ y::x::l₁ : swap y x l₁
... ~ y::x::l₂ : skip y (skip x p)
@[congr]
theorem perm_map (f : α → β) {l₁ l₂ : list α} : l₁ ~ l₂ → map f l₁ ~ map f l₂ :=
assume p, perm_induction_on p
nil
(λ x l₁ l₂ p r, skip (f x) r)
(λ x y l₁ l₂ p r, xswap (f y) (f x) r)
(λ l₁ l₂ l₃ p₁ p₂ r₁ r₂, trans r₁ r₂)
/- TODO(Jeremy)
In the next section, the decidability proof works, but gave the following error:
equation compiler failed to generate bytecode for auxiliary declaration 'list.perm.decidable_perm_aux._main'
nested exception message:
code generation failed, inductive predicate 'eq' is not supported
So I will comment it out and give another decidability proof below.
-/
/-
/- permutation is decidable if α has decidable equality -/
section dec
open decidable
variable [Ha : decidable_eq α]
include Ha
def decidable_perm_aux :
∀ (n : nat) (l₁ l₂ : list α), length l₁ = n → length l₂ = n → decidable (l₁ ~ l₂)
| 0 l₁ l₂ H₁ H₂ :=
have l₁n : l₁ = [], from eq_nil_of_length_eq_zero H₁,
have l₂n : l₂ = [], from eq_nil_of_length_eq_zero H₂,
begin rw [l₁n, l₂n], exact (is_true perm.nil) end
| (n+1) (x::t₁) l₂ H₁ H₂ :=
by_cases
(assume xinl₂ : x ∈ l₂,
-- TODO(Jeremy): it seems the equation editor abstracts t₂, and loses the definition, so
-- I had to expand it manually
-- let t₂ : list α := erase x l₂ in
have len_t₁ : length t₁ = n,
begin
simp at H₁,
assert H₁' : nat.succ (length t₁) = nat.succ n, exact H₁,
injection H₁' with e, exact e
end,
have length (erase x l₂) = nat.pred (length l₂), from length_erase_of_mem xinl₂,
have length (erase x l₂) = n, begin rw [this, H₂], reflexivity end,
match decidable_perm_aux n t₁ (erase x l₂) len_t₁ this with
| is_true p := is_true (calc
x::t₁ ~ x::erase x l₂ : skip x p
... ~ l₂ : perm.symm (perm_erase xinl₂))
| is_false np := is_false (λ p : x::t₁ ~ l₂,
have erase x (x::t₁) ~ erase x l₂, from erase_perm_erase_of_perm x p,
have t₁ ~ erase x l₂, begin rw [erase_cons_head] at this, exact this end,
absurd this np)
end)
(assume nxinl₂ : x ∉ l₂,
is_false (λ p : x::t₁ ~ l₂, absurd (mem_of_perm p (mem_cons_self _ _)) nxinl₂))
attribute [instance]
definition decidable_perm : ∀ (l₁ l₂ : list α), decidable (l₁ ~ l₂) :=
λ l₁ l₂,
by_cases
(assume eql : length l₁ = length l₂,
decidable_perm_aux (length l₂) l₁ l₂ eql rfl)
(assume neql : length l₁ ≠ length l₂,
is_false (λ p : l₁ ~ l₂, absurd (length_eq_length_of_perm p) neql))
end dec
-/
section count
variable [decα : decidable_eq α]
include decα
theorem count_eq_count_of_perm {l₁ l₂ : list α} : l₁ ~ l₂ → ∀ a, count a l₁ = count a l₂ :=
suppose l₁ ~ l₂, perm.rec_on this
(λ a, rfl)
(λ x l₁ l₂ p h a, begin simp [count_cons', h a] end)
(λ x y l a, begin simp [count_cons'] end)
(λ l₁ l₂ l₃ p₁ p₂ h₁ h₂ a, eq.trans (h₁ a) (h₂ a))
theorem perm_of_forall_count_eq : ∀ {l₁ l₂ : list α}, (∀ a, count a l₁ = count a l₂) → l₁ ~ l₂
| [] :=
take l₂,
assume h : ∀ a, count a [] = count a l₂,
have ∀ a, a ∉ l₂, from take a, not_mem_of_count_eq_zero (by simp [(h a)^.symm]),
have l₂ = [], from eq_nil_of_forall_not_mem this,
show [] ~ l₂, by rw this
| (b :: l) :=
take l₂,
assume h : ∀ a, count a (b :: l) = count a l₂,
have b ∈ l₂, from mem_of_count_pos (begin rw [-(h b)], simp, apply nat.succ_pos end),
have l₂ ~ b :: erase b l₂, from perm_erase this,
have ∀ a, count a l = count a (erase b l₂), from
take a,
if h' : a = b then
nat.succ_inj (calc
count a l + 1 = count a (b :: l) : begin simp [h'], rw add_comm end
... = count a l₂ : by rw h
... = count a (b :: erase b l₂) : count_eq_count_of_perm (by assumption) a
... = count a (erase b l₂) + 1 : begin simp [h'], rw add_comm end)
else
calc
count a l = count a (b :: l) : by simp [h']
... = count a l₂ : by rw h
... = count a (b :: erase b l₂) : count_eq_count_of_perm (by assumption) a
... = count a (erase b l₂) : by simp [h'],
have l ~ erase b l₂, from perm_of_forall_count_eq this,
calc
b :: l ~ b :: erase b l₂ : skip b this
... ~ l₂ : perm.symm (by assumption)
theorem perm_iff_forall_count_eq_count (l₁ l₂ : list α) : l₁ ~ l₂ ↔ ∀ a, count a l₁ = count a l₂ :=
iff.intro count_eq_count_of_perm perm_of_forall_count_eq
-- This next theorem shows that perm is equivalent to a decidable (and efficiently checkable)
-- property.
theorem perm_iff_forall_mem_count_eq_count (l₁ l₂ : list α) :
l₁ ~ l₂ ↔ ∀ a ∈ erase_dup (l₁ ∪ l₂), count a l₁ = count a l₂ :=
iff.intro
(assume h : l₁ ~ l₂, take a, assume ha, count_eq_count_of_perm h a)
(assume h,
have ∀ a, count a l₁ = count a l₂, from
take a,
if hl₁ : a ∈ l₁ then
have a ∈ erase_dup (l₁ ∪ l₂), from mem_erase_dup (mem_union_left hl₁ l₂),
h a this
else if hl₂ : a ∈ l₂ then
have a ∈ erase_dup (l₁ ∪ l₂), from mem_erase_dup (mem_union_right l₁ hl₂),
h a this
else
by simp [hl₁, hl₂],
perm_of_forall_count_eq this)
instance : ∀ (l₁ l₂ : list α), decidable (l₁ ~ l₂) :=
take l₁ l₂,
decidable_of_decidable_of_iff (decidable_forall_mem _)
(perm_iff_forall_mem_count_eq_count l₁ l₂)^.symm
end count
-- αuxiliary theorem for performing cases-analysis on l₂.
-- We use it to prove perm_inv_core.
private theorem discr {P : Prop} {a b : α} {l₁ l₂ l₃ : list α} :
a::l₁ = l₂++(b::l₃) →
(l₂ = [] → a = b → l₁ = l₃ → P) →
(∀ t, l₂ = a::t → l₁ = t++(b::l₃) → P) → P :=
match l₂ with
| [] := λ e h₁ h₂, begin simp at e, injection e with e₁ e₂, exact h₁ rfl e₁ e₂ end
| h::t := λ e h₁ h₂,
begin
simp at e,
injection e with e₁ e₂,
rw e₁ at h₂,
exact h₂ t rfl e₂
end
end
-- αuxiliary theorem for performing cases-analysis on l₂.
-- We use it to prove perm_inv_core.
private theorem discr₂ {P : Prop} {a b c : α} {l₁ l₂ l₃ : list α} :
a::b::l₁ = l₂++(c::l₃) →
(l₂ = [] → l₃ = b::l₁ → a = c → P) →
(l₂ = [a] → b = c → l₁ = l₃ → P) →
(∀ t, l₂ = a::b::t → l₁ = t++(c::l₃) → P) → P :=
match l₂ with
| [] := λ e H₁ H₂ H₃,
begin
simp at e, injection e with a_eq_c b_l₁_eq_l₃,
exact H₁ rfl (eq.symm b_l₁_eq_l₃) a_eq_c
end
| [h₁] := λ e H₁ H₂ H₃,
begin
rw cons_append at e, rw nil_append at e,
injection e with a_eq_h₁ aux,
injection aux with b_eq_c l₁_eq_l₃,
rw a_eq_h₁ at H₂, rw b_eq_c at H₂, rw l₁_eq_l₃ at H₂,
exact H₂ rfl rfl rfl
end
| h₁::h₂::t₂ := λ e H₁ H₂ H₃,
begin
simp at e,
injection e with a_eq_h₁ aux,
injection aux with b_eq_h₂ l₁_eq,
rw a_eq_h₁ at H₃, rw b_eq_h₂ at H₃,
exact H₃ t₂ rfl l₁_eq
end
end
/- quasiequal a l l' means that l' is exactly l, with a added
once somewhere -/
section qeq
inductive qeq (a : α) : list α → list α → Prop
| qhead : ∀ l, qeq l (a::l)
| qcons : ∀ (b : α) {l l' : list α}, qeq l l' → qeq (b::l) (b::l')
open qeq
notation l' `≈`:50 a `|` l:50 := qeq a l l'
lemma perm_of_qeq {a : α} {l₁ l₂ : list α} : l₁≈a|l₂ → l₁~a::l₂ :=
assume q, qeq.rec_on q
(λ h, perm.refl (a :: h))
(λ b t₁ t₂ q₁ r₁, calc
b::t₂ ~ b::a::t₁ : skip b r₁
... ~ a::b::t₁ : swap a b t₁)
theorem qeq_app : ∀ (l₁ : list α) (a : α) (l₂ : list α), l₁ ++ (a :: l₂) ≈ a | l₁ ++ l₂
| ([] : list α) b l₂ := qhead b l₂
| (a::ains) b l₂ := qcons a (qeq_app ains b l₂)
theorem mem_head_of_qeq {a : α} : ∀ {l₁ l₂ : list α}, l₁ ≈ a | l₂ → a ∈ l₁
| ._ ._ (qhead .a l) := mem_cons_self a l
| ._ ._ (@qcons .α .a b l l' q) := mem_cons_of_mem b (mem_head_of_qeq q)
theorem mem_tail_of_qeq {a : α} : ∀ {l₁ l₂ : list α}, l₁ ≈ a | l₂ → ∀ {b}, b ∈ l₂ → b ∈ l₁
| ._ ._ (qhead .a l) b bl := mem_cons_of_mem a bl
| ._ ._ (@qcons .α .a c l l' q) b bcl :=
or.elim (eq_or_mem_of_mem_cons bcl)
(take bc : b = c,
begin rw bc, apply mem_cons_self end)
(take bl : b ∈ l,
have bl' : b ∈ l', from mem_tail_of_qeq q bl,
mem_cons_of_mem c bl')
theorem mem_cons_of_qeq {a : α} : ∀ {l₁ l₂ : list α}, l₁≈a|l₂ → ∀ {b}, b ∈ l₁ → b ∈ a::l₂
| ._ ._ (qhead .a l) b bal := bal
| ._ ._ (@qcons .α .a c l l' q) b (bcl' : b ∈ c :: l') :=
show b ∈ a :: c :: l, from
or.elim (eq_or_mem_of_mem_cons bcl')
(take bc : b = c,
begin rw bc, apply mem_cons_of_mem, apply mem_cons_self end)
(take bl' : b ∈ l',
have b ∈ a :: l, from mem_cons_of_qeq q bl',
or.elim (eq_or_mem_of_mem_cons this)
(take ba : b = a,
begin rw ba, apply mem_cons_self end)
(take bl : b ∈ l,
mem_cons_of_mem a (mem_cons_of_mem c bl)))
theorem length_eq_of_qeq {a : α} {l₁ l₂ : list α} :
l₁ ≈ a | l₂ → length l₁ = nat.succ (length l₂) :=
begin
intro q, induction q with l b l l' q ih, simp, simp, rw ih
end
theorem qeq_of_mem {a : α} {l : list α} : a ∈ l → (∃ l', l ≈ a | l') :=
list.rec_on l
(λ h : a ∈ ([] : list α), absurd h (not_mem_nil a))
(λ b bs r ainbbs, or.elim (eq_or_mem_of_mem_cons ainbbs)
(λ aeqb : a = b,
have ∃ l, b::bs ≈ b | l, from
exists.intro bs (qhead b bs),
begin rw aeqb, exact this end)
(λ ainbs : a ∈ bs,
have ∃ l', bs ≈ a|l', from r ainbs,
exists.elim this (take (l' : list α) (q : bs ≈ a|l'),
have b::bs ≈ a | b::l', from qcons b q,
exists.intro (b::l') this)))
theorem qeq_split {a : α} : ∀ {l l' : list α}, l'≈a|l → ∃ l₁ l₂, l = l₁ ++ l₂ ∧ l' = l₁ ++ (a::l₂)
| ._ ._ (qhead .a l) := ⟨[], l, by simp⟩
| ._ ._ (@qcons .α .a c l l' q) :=
match (qeq_split q) with
| ⟨l₁, l₂, h₁, h₂⟩ := ⟨c :: l₁, l₂, by simp [h₁, h₂]⟩
end
theorem subset_of_mem_of_subset_of_qeq {a : α} {l : list α} {u v : list α} :
a ∉ l → a::l ⊆ v → v≈a|u → l ⊆ u :=
λ (nainl : a ∉ l) (s : a::l ⊆ v) (q : v≈a|u) (b : α) (binl : b ∈ l),
have b ∈ v, from s (or.inr binl),
have b ∈ a::u, from mem_cons_of_qeq q this,
or.elim (eq_or_mem_of_mem_cons this)
(suppose b = a, begin subst b, contradiction end)
(suppose b ∈ u, this)
end qeq
/- permutation inversion -/
theorem perm_inv_core {l₁ l₂ : list α} (p' : l₁ ~ l₂) : ∀ {a s₁ s₂}, l₁≈a|s₁ → l₂≈a|s₂ → s₁ ~ s₂ :=
perm_induction_on p'
(λ a s₁ s₂ e₁ e₂,
have innil : a ∈ [], from mem_head_of_qeq e₁,
absurd innil (not_mem_nil _))
(λ x t₁ t₂ p (r : ∀{a s₁ s₂}, t₁≈a|s₁ → t₂≈a|s₂ → s₁ ~ s₂) a s₁ s₂ e₁ e₂,
match qeq_split e₁, qeq_split e₂ with
| ⟨(s₁₁ : list α), (s₁₂ : list α), (C₁₁ : s₁ = s₁₁ ++ s₁₂), (C₁₂ : x::t₁ = s₁₁++(a::s₁₂))⟩,
⟨(s₂₁ : list α), (s₂₂ : list α), (C₂₁ : s₂ = s₂₁ ++ s₂₂), (C₂₂ : x::t₂ = s₂₁++(a::s₂₂))⟩ :=
discr C₁₂
(λ (s₁₁_eq : s₁₁ = []) (x_eq_a : x = a) (t₁_eq : t₁ = s₁₂),
have s₁_p : s₁ ~ t₂, from calc
s₁ = s₁₁ ++ s₁₂ : C₁₁
... = t₁ : by rw [-t₁_eq, s₁₁_eq, nil_append]
... ~ t₂ : p,
discr C₂₂
(λ (s₂₁_eq : s₂₁ = []) (x_eq_a : x = a) (t₂_eq: t₂ = s₂₂),
calc
s₁ ~ t₂ : s₁_p
... = s₂₁ ++ s₂₂ : by rw [-t₂_eq, s₂₁_eq, nil_append]
... = s₂ : by rw C₂₁)
(λ (ts₂₁ : list α) (s₂₁_eq : s₂₁ = x::ts₂₁) (t₂_eq : t₂ = ts₂₁++(a::s₂₂)),
calc
s₁ ~ t₂ : s₁_p
... = ts₂₁++(a::s₂₂) : t₂_eq
... ~ (a::ts₂₁)++s₂₂ : perm.symm (perm_middle _ _ _)
... = s₂₁ ++ s₂₂ : by rw [-x_eq_a, -s₂₁_eq]
... = s₂ : by rw C₂₁))
(λ (ts₁₁ : list α) (s₁₁_eq : s₁₁ = x::ts₁₁) (t₁_eq : t₁ = ts₁₁++(a::s₁₂)),
have t₁_qeq : t₁ ≈ a|(ts₁₁++s₁₂), begin rw t₁_eq, apply qeq_app end,
have s₁_eq : s₁ = x::(ts₁₁++s₁₂), from calc
s₁ = s₁₁ ++ s₁₂ : C₁₁
... = x::(ts₁₁++ s₁₂) : begin rw s₁₁_eq, reflexivity end,
discr C₂₂
(λ (s₂₁_eq : s₂₁ = []) (x_eq_a : x = a) (t₂_eq: t₂ = s₂₂),
calc
s₁ = a::(ts₁₁++s₁₂) : by rw [s₁_eq, x_eq_a]
... ~ ts₁₁++(a::s₁₂) : (perm_middle _ _ _)
... = t₁ : eq.symm t₁_eq
... ~ t₂ : p
... = s₂ : by rw [t₂_eq, C₂₁, s₂₁_eq, nil_append])
(λ (ts₂₁ : list α) (s₂₁_eq : s₂₁ = x::ts₂₁) (t₂_eq : t₂ = ts₂₁++(a::s₂₂)),
have t₂_qeq : t₂ ≈ a|(ts₂₁++s₂₂), begin rw t₂_eq, apply qeq_app end,
calc
s₁ = x::(ts₁₁++s₁₂) : s₁_eq
... ~ x::(ts₂₁++s₂₂) : skip x (r t₁_qeq t₂_qeq)
... = s₂ : by rw [-cons_append, -s₂₁_eq, C₂₁])) end)
(λ x y t₁ t₂ p (r : ∀{a s₁ s₂}, t₁≈a|s₁ → t₂≈a|s₂ → s₁ ~ s₂) a s₁ s₂ e₁ e₂,
match qeq_split e₁, qeq_split e₂ with
| ⟨(s₁₁ : list α), (s₁₂ : list α), (C₁₁ : s₁ = s₁₁ ++ s₁₂), (C₁₂ : y::x::t₁ = s₁₁++(a::s₁₂))⟩,
⟨(s₂₁ : list α), (s₂₂ : list α), (C₂₁ : s₂ = s₂₁ ++ s₂₂), (C₂₂ : x::y::t₂ = s₂₁++(a::s₂₂))⟩ :=
discr₂ C₁₂
(λ (s₁₁_eq : s₁₁ = []) (s₁₂_eq : s₁₂ = x::t₁) (y_eq_a : y = a),
have s₁_p : s₁ ~ x::t₂, from calc
s₁ = s₁₁ ++ s₁₂ : C₁₁
... = x::t₁ : by rw [s₁₂_eq, s₁₁_eq, nil_append]
... ~ x::t₂ : skip x p,
discr₂ C₂₂
(λ (s₂₁_eq : s₂₁ = []) (s₂₂_eq : s₂₂ = y::t₂) (x_eq_a : x = a),
calc
s₁ ~ x::t₂ : s₁_p
... = s₂₁ ++ s₂₂ : by rw [x_eq_a, -y_eq_a, -s₂₂_eq, s₂₁_eq, nil_append]
... = s₂ : by rw C₂₁)
(λ (s₂₁_eq : s₂₁ = [x]) (y_eq_a : y = a) (t₂_eq : t₂ = s₂₂),
calc
s₁ ~ x::t₂ : s₁_p
... = s₂₁ ++ s₂₂ : begin rw [t₂_eq, s₂₁_eq, cons_append], reflexivity end
... = s₂ : by rw C₂₁)
(λ (ts₂₁ : list α) (s₂₁_eq : s₂₁ = x::y::ts₂₁) (t₂_eq : t₂ = ts₂₁++(a::s₂₂)),
calc
s₁ ~ x::t₂ : s₁_p
... = x::(ts₂₁++(y::s₂₂)) : by rw [t₂_eq, -y_eq_a]
... ~ x::y::(ts₂₁++s₂₂) : perm.symm (skip x (perm_middle _ _ _))
... = s₂₁ ++ s₂₂ : begin rw [s₂₁_eq, cons_append], reflexivity end
... = s₂ : by rw C₂₁))
(λ (s₁₁_eq : s₁₁ = [y]) (x_eq_a : x = a) (t₁_eq : t₁ = s₁₂),
have s₁_p : s₁ ~ y::t₂, from calc
s₁ = y::t₁ : begin rw [C₁₁, s₁₁_eq, t₁_eq], reflexivity end
... ~ y::t₂ : skip y p,
discr₂ C₂₂
(λ (s₂₁_eq : s₂₁ = []) (s₂₂_eq : s₂₂ = y::t₂) (x_eq_a : x = a),
calc
s₁ ~ y::t₂ : s₁_p
... = s₂₁ ++ s₂₂ : begin rw [s₂₁_eq, s₂₂_eq], reflexivity end
... = s₂ : by rw C₂₁)
(λ (s₂₁_eq : s₂₁ = [x]) (y_eq_a : y = a) (t₂_eq : t₂ = s₂₂),
calc
s₁ ~ y::t₂ : s₁_p
... = s₂₁ ++ s₂₂ : begin rw [s₂₁_eq, t₂_eq, y_eq_a, -x_eq_a], reflexivity end
... = s₂ : by rw C₂₁)
(λ (ts₂₁ : list α) (s₂₁_eq : s₂₁ = x::y::ts₂₁) (t₂_eq : t₂ = ts₂₁++(a::s₂₂)),
calc
s₁ ~ y::t₂ : s₁_p
... = y::(ts₂₁++(x::s₂₂)) : by rw [t₂_eq, -x_eq_a]
... ~ y::x::(ts₂₁++s₂₂) : perm.symm (skip y (perm_middle _ _ _))
... ~ x::y::(ts₂₁++s₂₂) : swap _ _ _
... = s₂₁ ++ s₂₂ : begin rw [s₂₁_eq], reflexivity end
... = s₂ : by rw C₂₁))
(λ (ts₁₁ : list α) (s₁₁_eq : s₁₁ = y::x::ts₁₁) (t₁_eq : t₁ = ts₁₁++(a::s₁₂)),
have s₁_eq : s₁ = y::x::(ts₁₁++s₁₂), begin rw [C₁₁, s₁₁_eq], reflexivity end,
discr₂ C₂₂
(λ (s₂₁_eq : s₂₁ = []) (s₂₂_eq : s₂₂ = y::t₂) (x_eq_a : x = a),
calc
s₁ = y::a::(ts₁₁++s₁₂) : by rw [s₁_eq, x_eq_a]
... ~ y::(ts₁₁++(a::s₁₂)) : skip y (perm_middle _ _ _)
... = y::t₁ : by rw t₁_eq
... ~ y::t₂ : skip y p
... = s₂₁ ++ s₂₂ : begin rw [s₂₁_eq, s₂₂_eq], reflexivity end
... = s₂ : by rw C₂₁)
(λ (s₂₁_eq : s₂₁ = [x]) (y_eq_a : y = a) (t₂_eq : t₂ = s₂₂),
calc
s₁ = y::x::(ts₁₁++s₁₂) : by rw s₁_eq
... ~ x::y::(ts₁₁++s₁₂) : (swap _ _ _)
... = x::a::(ts₁₁++s₁₂) : by rw y_eq_a
... ~ x::(ts₁₁++(a::s₁₂)) : skip x (perm_middle _ _ _)
... = x::t₁ : by rw t₁_eq
... ~ x::t₂ : skip x p
... = s₂₁ ++ s₂₂ : begin rw [t₂_eq, s₂₁_eq], reflexivity end
... = s₂ : by rw C₂₁)
(λ (ts₂₁ : list α) (s₂₁_eq : s₂₁ = x::y::ts₂₁) (t₂_eq : t₂ = ts₂₁++(a::s₂₂)),
have t₁_qeq : t₁ ≈ a|(ts₁₁++s₁₂), begin rw t₁_eq, apply qeq_app end,
have t₂_qeq : t₂ ≈ a|(ts₂₁++s₂₂), begin rw t₂_eq, apply qeq_app end,
have p_aux : ts₁₁++s₁₂ ~ ts₂₁++s₂₂, from r t₁_qeq t₂_qeq,
calc
s₁ = y::x::(ts₁₁++s₁₂) : by rw s₁_eq
... ~ y::x::(ts₂₁++s₂₂) : skip y (skip x p_aux)
... ~ x::y::(ts₂₁++s₂₂) : swap _ _ _
... = s₂₁ ++ s₂₂ : begin rw s₂₁_eq, reflexivity end
... = s₂ : by rw C₂₁)) end)
(λ t₁ t₂ t₃ p₁ p₂
(r₁ : ∀{a s₁ s₂}, t₁ ≈ a|s₁ → t₂≈a|s₂ → s₁ ~ s₂)
(r₂ : ∀{a s₁ s₂}, t₂ ≈ a|s₁ → t₃≈a|s₂ → s₁ ~ s₂)
a s₁ s₂ e₁ e₂,
have a ∈ t₁, from mem_head_of_qeq e₁,
have a ∈ t₂, from mem_of_perm p₁ this,
match qeq_of_mem this with
| ⟨(t₂' : list α), (e₂' : t₂≈a|t₂')⟩ :=
calc s₁ ~ t₂' : r₁ e₁ e₂'
... ~ s₂ : r₂ e₂' e₂
end)
theorem perm_cons_inv {a : α} {l₁ l₂ : list α} : a::l₁ ~ a::l₂ → l₁ ~ l₂ :=
assume p, perm_inv_core p (qeq.qhead a l₁) (qeq.qhead a l₂)
theorem perm_app_inv {a : α} {l₁ l₂ l₃ l₄ : list α} : l₁++(a::l₂) ~ l₃++(a::l₄) → l₁++l₂ ~ l₃++l₄ :=
assume p : l₁++(a::l₂) ~ l₃++(a::l₄),
have p' : a::(l₁++l₂) ~ a::(l₃++l₄), from calc
a::(l₁++l₂) ~ l₁++(a::l₂) : perm_middle a l₁ l₂
... ~ l₃++(a::l₄) : p
... ~ a::(l₃++l₄) : perm.symm (perm_middle a l₃ l₄),
perm_cons_inv p'
section foldl
variables {f : β → α → β} {l₁ l₂ : list α}
variable rcomm : right_commutative f
include rcomm
theorem foldl_eq_of_perm : l₁ ~ l₂ → ∀ b, foldl f b l₁ = foldl f b l₂ :=
assume p, perm_induction_on p
(λ b, by simp [foldl_nil])
(λ x t₁ t₂ p r b, calc
foldl f b (x::t₁) = foldl f (f b x) t₁ : by rw foldl_cons
... = foldl f (f b x) t₂ : by rw (r (f b x))
... = foldl f b (x::t₂) : by rw foldl_cons)
(λ x y t₁ t₂ p r b, calc
foldl f b (y :: x :: t₁) = foldl f (f (f b y) x) t₁ : begin rw foldl_cons, reflexivity end
... = foldl f (f (f b x) y) t₁ : by rw rcomm
... = foldl f (f (f b x) y) t₂ : r (f (f b x) y)
... = foldl f b (x :: y :: t₂) : begin rw foldl_cons, reflexivity end)
(λ t₁ t₂ t₃ p₁ p₂ r₁ r₂ b, eq.trans (r₁ b) (r₂ b))
end foldl
section foldr
variables {f : α → β → β} {l₁ l₂ : list α}
variable lcomm : left_commutative f
include lcomm
theorem foldr_eq_of_perm : l₁ ~ l₂ → ∀ b, foldr f b l₁ = foldr f b l₂ :=
assume p, perm_induction_on p
(λ b, by simp [foldl_nil])
(λ x t₁ t₂ p r b, calc
foldr f b (x::t₁) = f x (foldr f b t₁) : foldr_cons _ _ _ _
... = f x (foldr f b t₂) : by rw [r b]
... = foldr f b (x::t₂) : eq.symm (foldr_cons _ _ _ _))
(λ x y t₁ t₂ p r b, calc
foldr f b (y :: x :: t₁) = f y (f x (foldr f b t₁)) : begin rw foldr_cons, reflexivity end
... = f x (f y (foldr f b t₁)) : by rw lcomm
... = f x (f y (foldr f b t₂)) : by rw [r b]
... = foldr f b (x :: y :: t₂) : begin rw foldr_cons, reflexivity end)
(λ t₁ t₂ t₃ p₁ p₂ r₁ r₂ a, eq.trans (r₁ a) (r₂ a))
end foldr
-- attribute [congr]
theorem perm_erase_dup_of_perm [H : decidable_eq α] {l₁ l₂ : list α} :
l₁ ~ l₂ → erase_dup l₁ ~ erase_dup l₂ :=
assume p, perm_induction_on p
nil
(λ x t₁ t₂ p r, by_cases
(λ xint₁ : x ∈ t₁,
have xint₂ : x ∈ t₂, from mem_of_mem_erase_dup (mem_of_perm r (mem_erase_dup xint₁)),
begin rw [erase_dup_cons_of_mem xint₁, erase_dup_cons_of_mem xint₂], exact r end)
(λ nxint₁ : x ∉ t₁,
have nxint₂ : x ∉ t₂, from
assume xint₂ : x ∈ t₂,
absurd (mem_of_mem_erase_dup (mem_of_perm (perm.symm r) (mem_erase_dup xint₂))) nxint₁,
begin rw [erase_dup_cons_of_not_mem nxint₂, erase_dup_cons_of_not_mem nxint₁],
exact (skip x r) end))
(λ y x t₁ t₂ p r, by_cases
(λ xinyt₁ : x ∈ y::t₁, by_cases
(λ yint₁ : y ∈ t₁,
have yint₂ : y ∈ t₂, from mem_of_mem_erase_dup (mem_of_perm r (mem_erase_dup yint₁)),
have yinxt₂ : y ∈ x::t₂, from or.inr (yint₂),
or.elim (eq_or_mem_of_mem_cons xinyt₁)
(λ xeqy : x = y,
have xint₂ : x ∈ t₂, begin rw [-xeqy] at yint₂, exact yint₂ end,
begin
rw [erase_dup_cons_of_mem xinyt₁, erase_dup_cons_of_mem yinxt₂,
erase_dup_cons_of_mem yint₁, erase_dup_cons_of_mem xint₂],
exact r
end)
(λ xint₁ : x ∈ t₁,
have xint₂ : x ∈ t₂, from mem_of_mem_erase_dup (mem_of_perm r (mem_erase_dup xint₁)),
begin
rw [erase_dup_cons_of_mem xinyt₁, erase_dup_cons_of_mem yinxt₂,
erase_dup_cons_of_mem yint₁, erase_dup_cons_of_mem xint₂],
exact r
end))
(λ nyint₁ : y ∉ t₁,
have nyint₂ : y ∉ t₂, from
assume yint₂ : y ∈ t₂,
absurd (mem_of_mem_erase_dup (mem_of_perm (perm.symm r) (mem_erase_dup yint₂))) nyint₁,
by_cases
(λ xeqy : x = y,
have nxint₂ : x ∉ t₂, begin rw [-xeqy] at nyint₂, exact nyint₂ end,
have yinxt₂ : y ∈ x::t₂, begin rw [xeqy], apply mem_cons_self end,
begin
rw [erase_dup_cons_of_mem xinyt₁, erase_dup_cons_of_mem yinxt₂,
erase_dup_cons_of_not_mem nyint₁, erase_dup_cons_of_not_mem nxint₂, xeqy],
exact skip y r
end)
(λ xney : x ≠ y,
have x ∈ t₁, from or_resolve_right xinyt₁ xney,
have x ∈ t₂, from mem_of_mem_erase_dup (mem_of_perm r (mem_erase_dup this)),
have y ∉ x::t₂, from
suppose y ∈ x::t₂, or.elim (eq_or_mem_of_mem_cons this)
(λ h, absurd h (ne.symm xney))
(λ h, absurd h nyint₂),
begin
rw [erase_dup_cons_of_mem xinyt₁, erase_dup_cons_of_not_mem ‹y ∉ x::t₂›,
erase_dup_cons_of_not_mem nyint₁, erase_dup_cons_of_mem ‹x ∈ t₂›],
exact skip y r
end)))
(λ nxinyt₁ : x ∉ y::t₁,
have xney : x ≠ y, from ne_of_not_mem_cons nxinyt₁,
have nxint₁ : x ∉ t₁, from not_mem_of_not_mem_cons nxinyt₁,
have nxint₂ : x ∉ t₂, from
assume xint₂ : x ∈ t₂,
absurd (mem_of_mem_erase_dup (mem_of_perm (perm.symm r) (mem_erase_dup xint₂))) nxint₁,
by_cases
(λ yint₁ : y ∈ t₁,
have yinxt₂ : y ∈ x::t₂,
from or.inr (mem_of_mem_erase_dup (mem_of_perm r (mem_erase_dup yint₁))),
begin
rw [erase_dup_cons_of_not_mem nxinyt₁, erase_dup_cons_of_mem yinxt₂,
erase_dup_cons_of_mem yint₁, erase_dup_cons_of_not_mem nxint₂],
exact skip x r
end)
(λ nyint₁ : y ∉ t₁,
have nyinxt₂ : y ∉ x::t₂, from
assume yinxt₂ : y ∈ x::t₂, or.elim (eq_or_mem_of_mem_cons yinxt₂)
(λ h, absurd h (ne.symm xney))
(λ h, absurd (mem_of_mem_erase_dup (mem_of_perm (r^.symm) (mem_erase_dup h))) nyint₁),
begin
rw [erase_dup_cons_of_not_mem nxinyt₁, erase_dup_cons_of_not_mem nyinxt₂,
erase_dup_cons_of_not_mem nyint₁, erase_dup_cons_of_not_mem nxint₂],
exact xswap x y r
end)))
(λ t₁ t₂ t₃ p₁ p₂ r₁ r₂, trans r₁ r₂)
section perm_union
variable [decidable_eq α]
theorem perm_union_left {l₁ l₂ : list α} (t₁ : list α) : l₁ ~ l₂ → (union l₁ t₁) ~ (union l₂ t₁) :=
begin
generalize l₂ l₂, clear l₂,
generalize l₁ l₁, clear l₁,
induction t₁ with a t ih,
{ intros l₁ l₂ h, exact h },
exact
take l₁ l₂,
assume h : l₁ ~ l₂,
if ha₁ : a ∈ l₁ then
have ha₂ : a ∈ l₂, from mem_of_perm h ha₁,
begin simp [ha₁, ha₂], apply ih l₁ l₂ h end
else
have ha₂ : a ∉ l₂, from assume otherwise, ha₁ (mem_of_perm h^.symm otherwise),
begin simp [ha₁, ha₂], apply ih, apply perm_app_left, exact h end
end
lemma perm_insert_insert (x y : α) (l : list α) :
insert x (insert y l) ~ insert y (insert x l) :=
if yl : y ∈ l then
if xl : x ∈ l then by simp [xl, yl]
else by simp [xl, yl]
else
if xl : x ∈ l then by simp [xl, yl]
else
if xy : x = y then by simp [xy, xl, yl]
else
have h₁ : x ∉ l ++ [y], begin intro h, simp at h, cases h, repeat { contradiction } end,
have h₂ : y ∉ l ++ [x], begin intro h, simp at h, cases h with h₃, exact xy h₃^.symm,
contradiction end,
begin simp [xl, yl, h₁, h₂], apply perm_app_right, apply perm.swap end
theorem perm_union_right (l : list α) {t₁ t₂ : list α} : t₁ ~ t₂ → (union l t₁) ~ (union l t₂) :=
begin
intro h, generalize l l, clear l,
exact
perm.rec_on h
(λ l, perm.refl l)
(take x t₁ t₂,
assume ht : t₁ ~ t₂,
assume ih,
take l,
ih _)
(take x y t l,
begin simp, apply perm_union_left, apply perm_insert_insert end)
(λ l₁ l₂ l₃ p₁ p₂ h₁ h₂ l, perm.trans (h₁ l) (h₂ l))
end
-- attribute [congr]
theorem perm_union {l₁ l₂ t₁ t₂ : list α} : l₁ ~ l₂ → t₁ ~ t₂ → (union l₁ t₁) ~ (union l₂ t₂) :=
assume p₁ p₂, trans (perm_union_left t₁ p₁) (perm_union_right l₂ p₂)
end perm_union
section perm_insert
variable [H : decidable_eq α]
include H
-- attribute [congr]
theorem perm_insert (a : α) {l₁ l₂ : list α} : l₁ ~ l₂ → (insert a l₁) ~ (insert a l₂) :=
assume p,
if al₁ : a ∈ l₁ then
have al₂ : a ∈ l₂, from mem_of_perm p al₁,
begin simp [al₁, al₂], exact p end
else
have al₂ : a ∉ l₂, from assume otherwise, al₁ (mem_of_perm p^.symm otherwise),
begin simp [al₁, al₂], exact perm_app_left _ p end
end perm_insert
section perm_inter
variable [decidable_eq α]
theorem perm_inter_left {l₁ l₂ : list α} (t₁ : list α) : l₁ ~ l₂ → (inter l₁ t₁) ~ (inter l₂ t₁) :=
assume p, perm.rec_on p
(perm.refl _)
(λ x l₁ l₂ p₁ r₁, by_cases
(λ xint₁ : x ∈ t₁, begin rw [inter_cons_of_mem _ xint₁, inter_cons_of_mem _ xint₁],
exact (skip x r₁) end)
(λ nxint₁ : x ∉ t₁, begin rw [inter_cons_of_not_mem _ nxint₁, inter_cons_of_not_mem _ nxint₁],
exact r₁ end))
(λ x y l, by_cases
(λ yint : y ∈ t₁, by_cases
(λ xint : x ∈ t₁,
begin rw [inter_cons_of_mem _ xint, inter_cons_of_mem _ yint,
inter_cons_of_mem _ yint, inter_cons_of_mem _ xint],
apply swap end)
(λ nxint : x ∉ t₁,
begin rw [inter_cons_of_mem _ yint, inter_cons_of_not_mem _ nxint,
inter_cons_of_not_mem _ nxint, inter_cons_of_mem _ yint] end))
(λ nyint : y ∉ t₁, by_cases
(λ xint : x ∈ t₁,
by rw [inter_cons_of_mem _ xint, inter_cons_of_not_mem _ nyint,
inter_cons_of_not_mem _ nyint, inter_cons_of_mem _ xint])
(λ nxint : x ∉ t₁,
by rw [inter_cons_of_not_mem _ nxint, inter_cons_of_not_mem _ nyint,
inter_cons_of_not_mem _ nyint, inter_cons_of_not_mem _ nxint])))
(λ l₁ l₂ l₃ p₁ p₂ r₁ r₂, trans r₁ r₂)
theorem perm_inter_right (l : list α) {t₁ t₂ : list α} : t₁ ~ t₂ → (inter l t₁) ~ (inter l t₂) :=
list.rec_on l
(λ p, by simp [inter_nil])
(λ x xs r p, by_cases
(λ xint₁ : x ∈ t₁,
have xint₂ : x ∈ t₂, from mem_of_perm p xint₁,
begin rw [inter_cons_of_mem _ xint₁, inter_cons_of_mem _ xint₂], exact (skip _ (r p)) end)
(λ nxint₁ : x ∉ t₁,
have nxint₂ : x ∉ t₂, from not_mem_of_perm p nxint₁,
begin rw [inter_cons_of_not_mem _ nxint₁, inter_cons_of_not_mem _ nxint₂], exact (r p) end))
-- attribute [congr]
theorem perm_inter {l₁ l₂ t₁ t₂ : list α} : l₁ ~ l₂ → t₁ ~ t₂ → (inter l₁ t₁) ~ (inter l₂ t₂) :=
assume p₁ p₂, trans (perm_inter_left t₁ p₁) (perm_inter_right l₂ p₂)
end perm_inter
/- extensionality -/
section ext
theorem perm_ext : ∀ {l₁ l₂ : list α}, nodup l₁ → nodup l₂ → (∀a, a ∈ l₁ ↔ a ∈ l₂) → l₁ ~ l₂
| [] [] d₁ d₂ e := perm.nil
| [] (a₂::t₂) d₁ d₂ e := absurd (iff.mpr (e a₂) (mem_cons_self _ _)) (not_mem_nil a₂)
| (a₁::t₁) [] d₁ d₂ e := absurd (iff.mp (e a₁) (mem_cons_self _ _)) (not_mem_nil a₁)
| (a₁::t₁) (a₂::t₂) d₁ d₂ e :=
have a₁ ∈ a₂::t₂, from iff.mp (e a₁) (mem_cons_self _ _),
have ∃ s₁ s₂, a₂::t₂ = s₁++(a₁::s₂), from mem_split this,
-- obtain (s₁ s₂ : list α) (t₂_eq : a₂::t₂ = s₁++(a₁::s₂)), from this,
match this with
| ⟨ s₁, s₂, (t₂_eq : a₂::t₂ = s₁++(a₁::s₂)) ⟩ :=
have dt₂' : nodup (a₁::(s₁++s₂)), from nodup_head (begin rw [t₂_eq] at d₂, exact d₂ end),
have eqv : ∀a, a ∈ t₁ ↔ a ∈ s₁++s₂, from
take a, iff.intro
(suppose a ∈ t₁,
have a ∈ a₂::t₂, from iff.mp (e a) (mem_cons_of_mem _ this),
have a ∈ s₁++(a₁::s₂), begin rw [t₂_eq] at this, exact this end,
or.elim (mem_or_mem_of_mem_append this)
(suppose a ∈ s₁, mem_append_left s₂ this)
(suppose a ∈ a₁::s₂, or.elim (eq_or_mem_of_mem_cons this)
(suppose a = a₁,
have a₁ ∉ t₁, from not_mem_of_nodup_cons d₁,
begin subst a, contradiction end)
(suppose a ∈ s₂, mem_append_right s₁ this)))
(suppose a ∈ s₁ ++ s₂, or.elim (mem_or_mem_of_mem_append this)
(suppose a ∈ s₁,
have a ∈ a₂::t₂, from begin rw [t₂_eq], exact (mem_append_left _ this) end,
have a ∈ a₁::t₁, from iff.mpr (e a) this,
or.elim (eq_or_mem_of_mem_cons this)
(suppose a = a₁,
have a₁ ∉ s₁++s₂, from not_mem_of_nodup_cons dt₂',
have a₁ ∉ s₁, from not_mem_of_not_mem_append_left this,
begin subst a, contradiction end)
(suppose a ∈ t₁, this))
(suppose a ∈ s₂,
have a ∈ a₂::t₂, from begin rw [t₂_eq],
exact (mem_append_right _ (mem_cons_of_mem _ this)) end,
have a ∈ a₁::t₁, from iff.mpr (e a) this,
or.elim (eq_or_mem_of_mem_cons this)
(suppose a = a₁,
have a₁ ∉ s₁++s₂, from not_mem_of_nodup_cons dt₂',
have a₁ ∉ s₂, from not_mem_of_not_mem_append_right this,
begin subst a, contradiction end)
(suppose a ∈ t₁, this))),
have ds₁s₂ : nodup (s₁++s₂), from nodup_of_nodup_cons dt₂',
have nodup t₁, from nodup_of_nodup_cons d₁,
calc a₁::t₁ ~ a₁::(s₁++s₂) : skip a₁ (perm_ext this ds₁s₂ eqv)
... ~ s₁++(a₁::s₂) : perm_middle _ _ _
... = a₂::t₂ : by rw t₂_eq
end
end ext
theorem nodup_of_perm_of_nodup {l₁ l₂ : list α} : l₁ ~ l₂ → nodup l₁ → nodup l₂ :=
assume h, perm.rec_on h
(λ h, h)
(λ a l₁ l₂ p ih nd,
have nodup l₁, from nodup_of_nodup_cons nd,
have nodup l₂, from ih this,
have a ∉ l₁, from not_mem_of_nodup_cons nd,
have a ∉ l₂, from suppose a ∈ l₂, absurd (mem_of_perm (perm.symm p) this) ‹a ∉ l₁›,
nodup_cons ‹a ∉ l₂› ‹nodup l₂›)
(λ x y l₁ nd,
have nodup (x::l₁), from nodup_of_nodup_cons nd,
have nodup l₁, from nodup_of_nodup_cons this,
have x ∉ l₁, from not_mem_of_nodup_cons ‹nodup (x::l₁)›,
have y ∉ x::l₁, from not_mem_of_nodup_cons nd,
have x ≠ y, from suppose x = y,
begin subst x, apply absurd (mem_cons_self _ _), apply ‹y ∉ y::l₁› end, -- this line used to be "exact absurd (mem_cons_self _ _) ‹y ∉ y::l₁›, but it's now a syntax error
have y ∉ l₁, from not_mem_of_not_mem_cons ‹y ∉ x::l₁›,
have x ∉ y::l₁, from not_mem_cons_of_ne_of_not_mem ‹x ≠ y› ‹x ∉ l₁›,
have nodup (y::l₁), from nodup_cons ‹y ∉ l₁› ‹nodup l₁›,
show nodup (x::y::l₁), from nodup_cons ‹x ∉ y::l₁› ‹nodup (y::l₁)›)
(λ l₁ l₂ l₃ p₁ p₂ ih₁ ih₂ nd, ih₂ (ih₁ nd))
/- product -/
section product
theorem perm_product_left {l₁ l₂ : list α} (t₁ : list β) :
l₁ ~ l₂ → (product l₁ t₁) ~ (product l₂ t₁) :=
assume p : l₁ ~ l₂, perm.rec_on p
(perm.refl _)
(λ x l₁ l₂ p r, perm_app (perm.refl (map _ t₁)) r)
(λ x y l,
let m₁ := map (λ b, (x, b)) t₁ in
let m₂ := map (λ b, (y, b)) t₁ in
let c := product l t₁ in
calc m₂ ++ (m₁ ++ c) = (m₂ ++ m₁) ++ c : by rw append.assoc
... ~ (m₁ ++ m₂) ++ c : perm_app perm_app_comm (perm.refl _)
... = m₁ ++ (m₂ ++ c) : by rw append.assoc)
(λ l₁ l₂ l₃ p₁ p₂ r₁ r₂, trans r₁ r₂)
theorem perm_product_right (l : list α) {t₁ t₂ : list β} :
t₁ ~ t₂ → (product l t₁) ~ (product l t₂) :=
list.rec_on l
(λ p, by simp [nil_product])
(λ (a : α) (t : list α) (r : t₁ ~ t₂ → product t t₁ ~ product t t₂) (p : t₁ ~ t₂),
perm_app (perm_map (λ b : β, (a, b)) p) (r p))
attribute [congr]
theorem perm_product {l₁ l₂ : list α} {t₁ t₂ : list β} :
l₁ ~ l₂ → t₁ ~ t₂ → (product l₁ t₁) ~ (product l₂ t₂) :=
assume p₁ p₂, trans (perm_product_left t₁ p₁) (perm_product_right l₂ p₂)
end product
/- filter -/
-- attribute [congr]
theorem perm_filter {l₁ l₂ : list α} {p : α → Prop} [decidable_pred p] :
l₁ ~ l₂ → (filter p l₁) ~ (filter p l₂) :=
assume u, perm.rec_on u
perm.nil
(take x l₁' l₂',
assume u' : l₁' ~ l₂',
assume u'' : filter p l₁' ~ filter p l₂',
decidable.by_cases
(suppose p x, begin rw [filter_cons_of_pos _ this, filter_cons_of_pos _ this],
apply perm.skip, apply u'' end)
(suppose ¬ p x, begin rw [filter_cons_of_neg _ this, filter_cons_of_neg _ this],
apply u'' end))
(take x y l,
decidable.by_cases
(assume H1 : p x,
decidable.by_cases
(assume H2 : p y,
begin
rw [filter_cons_of_pos _ H1, filter_cons_of_pos _ H2, filter_cons_of_pos _ H2,
filter_cons_of_pos _ H1],
apply perm.swap
end)
(assume H2 : ¬ p y,
by rw [filter_cons_of_pos _ H1, filter_cons_of_neg _ H2, filter_cons_of_neg _ H2,
filter_cons_of_pos _ H1]))
(assume H1 : ¬ p x,
decidable.by_cases
(assume H2 : p y,
by rw [filter_cons_of_neg _ H1, filter_cons_of_pos _ H2, filter_cons_of_pos _ H2,
filter_cons_of_neg _ H1])
(assume H2 : ¬ p y,
by rw [filter_cons_of_neg _ H1, filter_cons_of_neg _ H2, filter_cons_of_neg _ H2,
filter_cons_of_neg _ H1])))
(λ l₁ l₂ l₃ p₁ p₂ r₁ r₂, trans r₁ r₂)
end perm
end list
|
a5006b1cd41b13a209d073bb08644e9917a4f07b | 6432ea7a083ff6ba21ea17af9ee47b9c371760f7 | /tests/lean/302.lean | 2cc80770421ff0b8cd441f31d126b5229d588fb0 | [
"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 | 23 | lean | def f(y:m 0:=a-t):=f a
|
bf2edbf2be2047fefb935012d85e3601809498ee | 63abd62053d479eae5abf4951554e1064a4c45b4 | /src/data/list/perm.lean | 2218934d20cadb1c1d14d2db38d4e5ddc4f75ad3 | [
"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 | 47,772 | lean | /-
Copyright (c) 2015 Microsoft Corporation. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Leonardo de Moura, Jeremy Avigad, Mario Carneiro
-/
import data.list.bag_inter
import data.list.erase_dup
import data.list.zip
import logic.relation
import data.nat.factorial
/-!
# List permutations
-/
open_locale nat
namespace list
universe variables uu vv
variables {α : Type uu} {β : Type vv}
/-- `perm l₁ l₂` or `l₁ ~ l₂` asserts that `l₁` and `l₂` are permutations
of each other. This is defined by induction using pairwise swaps. -/
inductive perm : list α → list α → Prop
| nil : perm [] []
| cons : Π (x : α) {l₁ l₂ : list α}, perm l₁ l₂ → perm (x::l₁) (x::l₂)
| swap : Π (x y : α) (l : list α), perm (y::x::l) (x::y::l)
| trans : Π {l₁ l₂ l₃ : list α}, perm l₁ l₂ → perm l₂ l₃ → perm l₁ l₃
open perm (swap)
infix ~ := perm
@[refl] protected theorem perm.refl : ∀ (l : list α), l ~ l
| [] := perm.nil
| (x::xs) := (perm.refl xs).cons x
@[symm] protected theorem perm.symm {l₁ l₂ : list α} (p : l₁ ~ l₂) : l₂ ~ l₁ :=
perm.rec_on p
perm.nil
(λ x l₁ l₂ p₁ r₁, r₁.cons x)
(λ x y l, swap y x l)
(λ l₁ l₂ l₃ p₁ p₂ r₁ r₂, r₂.trans r₁)
theorem perm_comm {l₁ l₂ : list α} : l₁ ~ l₂ ↔ l₂ ~ l₁ := ⟨perm.symm, perm.symm⟩
theorem perm.swap'
(x y : α) {l₁ l₂ : list α} (p : l₁ ~ l₂) : y::x::l₁ ~ x::y::l₂ :=
(swap _ _ _).trans ((p.cons _).cons _)
attribute [trans] perm.trans
theorem perm.eqv (α) : equivalence (@perm α) :=
mk_equivalence (@perm α) (@perm.refl α) (@perm.symm α) (@perm.trans α)
instance is_setoid (α) : setoid (list α) :=
setoid.mk (@perm α) (perm.eqv α)
theorem perm.subset {l₁ l₂ : list α} (p : l₁ ~ l₂) : l₁ ⊆ l₂ :=
λ a, perm.rec_on p
(λ h, h)
(λ x l₁ l₂ p₁ r₁ i, or.elim i
(λ ax, by simp [ax])
(λ al₁, or.inr (r₁ al₁)))
(λ x y l ayxl, or.elim ayxl
(λ ay, by simp [ay])
(λ axl, or.elim axl
(λ ax, by simp [ax])
(λ al, or.inr (or.inr al))))
(λ l₁ l₂ l₃ p₁ p₂ r₁ r₂ ainl₁, r₂ (r₁ ainl₁))
theorem perm.mem_iff {a : α} {l₁ l₂ : list α} (h : l₁ ~ l₂) : a ∈ l₁ ↔ a ∈ l₂ :=
iff.intro (λ m, h.subset m) (λ m, h.symm.subset m)
theorem perm.append_right {l₁ l₂ : list α} (t₁ : list α) (p : l₁ ~ l₂) : l₁++t₁ ~ l₂++t₁ :=
perm.rec_on p
(perm.refl ([] ++ t₁))
(λ x l₁ l₂ p₁ r₁, r₁.cons x)
(λ x y l, swap x y _)
(λ l₁ l₂ l₃ p₁ p₂ r₁ r₂, r₁.trans r₂)
theorem perm.append_left {t₁ t₂ : list α} : ∀ (l : list α), t₁ ~ t₂ → l++t₁ ~ l++t₂
| [] p := p
| (x::xs) p := (perm.append_left xs p).cons x
theorem perm.append {l₁ l₂ t₁ t₂ : list α} (p₁ : l₁ ~ l₂) (p₂ : t₁ ~ t₂) : l₁++t₁ ~ l₂++t₂ :=
(p₁.append_right t₁).trans (p₂.append_left l₂)
theorem perm.append_cons (a : α) {h₁ h₂ t₁ t₂ : list α}
(p₁ : h₁ ~ h₂) (p₂ : t₁ ~ t₂) : h₁ ++ a::t₁ ~ h₂ ++ a::t₂ :=
p₁.append (p₂.cons a)
@[simp] theorem perm_middle {a : α} : ∀ {l₁ l₂ : list α}, l₁++a::l₂ ~ a::(l₁++l₂)
| [] l₂ := perm.refl _
| (b::l₁) l₂ := ((@perm_middle l₁ l₂).cons _).trans (swap a b _)
@[simp] theorem perm_append_singleton (a : α) (l : list α) : l ++ [a] ~ a::l :=
perm_middle.trans $ by rw [append_nil]
theorem perm_append_comm : ∀ {l₁ l₂ : list α}, (l₁++l₂) ~ (l₂++l₁)
| [] l₂ := by simp
| (a::t) l₂ := (perm_append_comm.cons _).trans perm_middle.symm
theorem concat_perm (l : list α) (a : α) : concat l a ~ a :: l :=
by simp
theorem perm.length_eq {l₁ l₂ : list α} (p : l₁ ~ l₂) : length l₁ = length l₂ :=
perm.rec_on p
rfl
(λ x l₁ l₂ p r, by simp[r])
(λ x y l, by simp)
(λ l₁ l₂ l₃ p₁ p₂ r₁ r₂, eq.trans r₁ r₂)
theorem perm.eq_nil {l : list α} (p : l ~ []) : l = [] :=
eq_nil_of_length_eq_zero p.length_eq
theorem perm.nil_eq {l : list α} (p : [] ~ l) : [] = l :=
p.symm.eq_nil.symm
theorem perm_nil {l₁ : list α} : l₁ ~ [] ↔ l₁ = [] :=
⟨λ p, p.eq_nil, λ e, e ▸ perm.refl _⟩
theorem not_perm_nil_cons (x : α) (l : list α) : ¬ [] ~ x::l
| p := by injection p.symm.eq_nil
@[simp] theorem reverse_perm : ∀ (l : list α), reverse l ~ l
| [] := perm.nil
| (a::l) := by { rw reverse_cons,
exact (perm_append_singleton _ _).trans ((reverse_perm l).cons a) }
theorem perm_cons_append_cons {l l₁ l₂ : list α} (a : α) (p : l ~ l₁++l₂) :
a::l ~ l₁++(a::l₂) :=
(p.cons a).trans perm_middle.symm
@[simp] theorem perm_repeat {a : α} {n : ℕ} {l : list α} : l ~ repeat a n ↔ l = repeat a n :=
⟨λ p, (eq_repeat.2
⟨p.length_eq.trans $ length_repeat _ _,
λ b m, eq_of_mem_repeat $ p.subset m⟩),
λ h, h ▸ perm.refl _⟩
@[simp] theorem repeat_perm {a : α} {n : ℕ} {l : list α} : repeat a n ~ l ↔ repeat a n = l :=
(perm_comm.trans perm_repeat).trans eq_comm
@[simp] theorem perm_singleton {a : α} {l : list α} : l ~ [a] ↔ l = [a] :=
@perm_repeat α a 1 l
@[simp] theorem singleton_perm {a : α} {l : list α} : [a] ~ l ↔ [a] = l :=
@repeat_perm α a 1 l
theorem perm.eq_singleton {a : α} {l : list α} (p : l ~ [a]) : l = [a] :=
perm_singleton.1 p
theorem perm.singleton_eq {a : α} {l : list α} (p : [a] ~ l) : [a] = l :=
p.symm.eq_singleton.symm
theorem singleton_perm_singleton {a b : α} : [a] ~ [b] ↔ a = b :=
by simp
theorem perm_cons_erase [decidable_eq α] {a : α} {l : list α} (h : a ∈ l) :
l ~ a :: l.erase a :=
let ⟨l₁, l₂, _, e₁, e₂⟩ := exists_erase_eq h in
e₂.symm ▸ e₁.symm ▸ perm_middle
@[elab_as_eliminator] theorem perm_induction_on
{P : list α → list α → Prop} {l₁ l₂ : list α} (p : l₁ ~ l₂)
(h₁ : P [] [])
(h₂ : ∀ x l₁ l₂, l₁ ~ l₂ → P l₁ l₂ → P (x::l₁) (x::l₂))
(h₃ : ∀ x y l₁ l₂, l₁ ~ l₂ → P l₁ l₂ → P (y::x::l₁) (x::y::l₂))
(h₄ : ∀ l₁ l₂ l₃, l₁ ~ l₂ → l₂ ~ l₃ → P l₁ l₂ → P l₂ l₃ → P l₁ l₃) :
P l₁ l₂ :=
have P_refl : ∀ l, P l l, from
assume l,
list.rec_on l h₁ (λ x xs ih, h₂ x xs xs (perm.refl xs) ih),
perm.rec_on p h₁ h₂ (λ x y l, h₃ x y l l (perm.refl l) (P_refl l)) h₄
@[congr] theorem perm.filter_map (f : α → option β) {l₁ l₂ : list α} (p : l₁ ~ l₂) :
filter_map f l₁ ~ filter_map f l₂ :=
begin
induction p with x l₂ l₂' p IH x y l₂ l₂ m₂ r₂ p₁ p₂ IH₁ IH₂,
{ simp },
{ simp only [filter_map], cases f x with a; simp [filter_map, IH, perm.cons] },
{ simp only [filter_map], cases f x with a; cases f y with b; simp [filter_map, swap] },
{ exact IH₁.trans IH₂ }
end
@[congr] theorem perm.map (f : α → β) {l₁ l₂ : list α} (p : l₁ ~ l₂) :
map f l₁ ~ map f l₂ :=
filter_map_eq_map f ▸ p.filter_map _
theorem perm.pmap {p : α → Prop} (f : Π a, p a → β)
{l₁ l₂ : list α} (p : l₁ ~ l₂) {H₁ H₂} : pmap f l₁ H₁ ~ pmap f l₂ H₂ :=
begin
induction p with x l₂ l₂' p IH x y l₂ l₂ m₂ r₂ p₁ p₂ IH₁ IH₂,
{ simp },
{ simp [IH, perm.cons] },
{ simp [swap] },
{ refine IH₁.trans IH₂,
exact λ a m, H₂ a (p₂.subset m) }
end
theorem perm.filter (p : α → Prop) [decidable_pred p]
{l₁ l₂ : list α} (s : l₁ ~ l₂) : filter p l₁ ~ filter p l₂ :=
by rw ← filter_map_eq_filter; apply s.filter_map _
theorem exists_perm_sublist {l₁ l₂ l₂' : list α}
(s : l₁ <+ l₂) (p : l₂ ~ l₂') : ∃ l₁' ~ l₁, l₁' <+ l₂' :=
begin
induction p with x l₂ l₂' p IH x y l₂ l₂ m₂ r₂ p₁ p₂ IH₁ IH₂ generalizing l₁ s,
{ exact ⟨[], eq_nil_of_sublist_nil s ▸ perm.refl _, nil_sublist _⟩ },
{ cases s with _ _ _ s l₁ _ _ s,
{ exact let ⟨l₁', p', s'⟩ := IH s in ⟨l₁', p', s'.cons _ _ _⟩ },
{ exact let ⟨l₁', p', s'⟩ := IH s in ⟨x::l₁', p'.cons x, s'.cons2 _ _ _⟩ } },
{ cases s with _ _ _ s l₁ _ _ s; cases s with _ _ _ s l₁ _ _ s,
{ exact ⟨l₁, perm.refl _, (s.cons _ _ _).cons _ _ _⟩ },
{ exact ⟨x::l₁, perm.refl _, (s.cons _ _ _).cons2 _ _ _⟩ },
{ exact ⟨y::l₁, perm.refl _, (s.cons2 _ _ _).cons _ _ _⟩ },
{ exact ⟨x::y::l₁, perm.swap _ _ _, (s.cons2 _ _ _).cons2 _ _ _⟩ } },
{ exact let ⟨m₁, pm, sm⟩ := IH₁ s, ⟨r₁, pr, sr⟩ := IH₂ sm in
⟨r₁, pr.trans pm, sr⟩ }
end
theorem perm.sizeof_eq_sizeof [has_sizeof α] {l₁ l₂ : list α} (h : l₁ ~ l₂) :
l₁.sizeof = l₂.sizeof :=
begin
induction h with hd l₁ l₂ h₁₂ h_sz₁₂ a b l l₁ l₂ l₃ h₁₂ h₂₃ h_sz₁₂ h_sz₂₃,
{ refl },
{ simp only [list.sizeof, h_sz₁₂] },
{ simp only [list.sizeof, add_left_comm] },
{ simp only [h_sz₁₂, h_sz₂₃] }
end
section rel
open relator
variables {γ : Type*} {δ : Type*} {r : α → β → Prop} {p : γ → δ → Prop}
local infixr ` ∘r ` : 80 := relation.comp
lemma perm_comp_perm : (perm ∘r perm : list α → list α → Prop) = perm :=
begin
funext a c, apply propext,
split,
{ exact assume ⟨b, hab, hba⟩, perm.trans hab hba },
{ exact assume h, ⟨a, perm.refl a, h⟩ }
end
lemma perm_comp_forall₂ {l u v} (hlu : perm l u) (huv : forall₂ r u v) : (forall₂ r ∘r perm) l v :=
begin
induction hlu generalizing v,
case perm.nil { cases huv, exact ⟨[], forall₂.nil, perm.nil⟩ },
case perm.cons : a l u hlu ih {
cases huv with _ b _ v hab huv',
rcases ih huv' with ⟨l₂, h₁₂, h₂₃⟩,
exact ⟨b::l₂, forall₂.cons hab h₁₂, h₂₃.cons _⟩
},
case perm.swap : a₁ a₂ l₁ l₂ h₂₃ {
cases h₂₃ with _ b₁ _ l₂ h₁ hr_₂₃,
cases hr_₂₃ with _ b₂ _ l₂ h₂ h₁₂,
exact ⟨b₂::b₁::l₂, forall₂.cons h₂ (forall₂.cons h₁ h₁₂), perm.swap _ _ _⟩
},
case perm.trans : la₁ la₂ la₃ _ _ ih₁ ih₂ {
rcases ih₂ huv with ⟨lb₂, hab₂, h₂₃⟩,
rcases ih₁ hab₂ with ⟨lb₁, hab₁, h₁₂⟩,
exact ⟨lb₁, hab₁, perm.trans h₁₂ h₂₃⟩
}
end
lemma forall₂_comp_perm_eq_perm_comp_forall₂ : forall₂ r ∘r perm = perm ∘r forall₂ r :=
begin
funext l₁ l₃, apply propext,
split,
{ assume h, rcases h with ⟨l₂, h₁₂, h₂₃⟩,
have : forall₂ (flip r) l₂ l₁, from h₁₂.flip ,
rcases perm_comp_forall₂ h₂₃.symm this with ⟨l', h₁, h₂⟩,
exact ⟨l', h₂.symm, h₁.flip⟩ },
{ exact assume ⟨l₂, h₁₂, h₂₃⟩, perm_comp_forall₂ h₁₂ h₂₃ }
end
lemma rel_perm_imp (hr : right_unique r) : (forall₂ r ⇒ forall₂ r ⇒ implies) perm perm :=
assume a b h₁ c d h₂ h,
have (flip (forall₂ r) ∘r (perm ∘r forall₂ r)) b d, from ⟨a, h₁, c, h, h₂⟩,
have ((flip (forall₂ r) ∘r forall₂ r) ∘r perm) b d,
by rwa [← forall₂_comp_perm_eq_perm_comp_forall₂, ← relation.comp_assoc] at this,
let ⟨b', ⟨c', hbc, hcb⟩, hbd⟩ := this in
have b' = b, from right_unique_forall₂ @hr hcb hbc,
this ▸ hbd
lemma rel_perm (hr : bi_unique r) : (forall₂ r ⇒ forall₂ r ⇒ (↔)) perm perm :=
assume a b hab c d hcd, iff.intro
(rel_perm_imp hr.2 hab hcd)
(rel_perm_imp (assume a b c, left_unique_flip hr.1) hab.flip hcd.flip)
end rel
section subperm
/-- `subperm l₁ l₂`, denoted `l₁ <+~ l₂`, means that `l₁` is a sublist of
a permutation of `l₂`. This is an analogue of `l₁ ⊆ l₂` which respects
multiplicities of elements, and is used for the `≤` relation on multisets. -/
def subperm (l₁ l₂ : list α) : Prop := ∃ l ~ l₁, l <+ l₂
infix ` <+~ `:50 := subperm
theorem nil_subperm {l : list α} : [] <+~ l :=
⟨[], perm.nil, by simp⟩
theorem perm.subperm_left {l l₁ l₂ : list α} (p : l₁ ~ l₂) : l <+~ l₁ ↔ l <+~ l₂ :=
suffices ∀ {l₁ l₂ : list α}, l₁ ~ l₂ → l <+~ l₁ → l <+~ l₂,
from ⟨this p, this p.symm⟩,
λ l₁ l₂ p ⟨u, pu, su⟩,
let ⟨v, pv, sv⟩ := exists_perm_sublist su p in
⟨v, pv.trans pu, sv⟩
theorem perm.subperm_right {l₁ l₂ l : list α} (p : l₁ ~ l₂) : l₁ <+~ l ↔ l₂ <+~ l :=
⟨λ ⟨u, pu, su⟩, ⟨u, pu.trans p, su⟩,
λ ⟨u, pu, su⟩, ⟨u, pu.trans p.symm, su⟩⟩
theorem sublist.subperm {l₁ l₂ : list α} (s : l₁ <+ l₂) : l₁ <+~ l₂ :=
⟨l₁, perm.refl _, s⟩
theorem perm.subperm {l₁ l₂ : list α} (p : l₁ ~ l₂) : l₁ <+~ l₂ :=
⟨l₂, p.symm, sublist.refl _⟩
@[refl] theorem subperm.refl (l : list α) : l <+~ l := (perm.refl _).subperm
@[trans] theorem subperm.trans {l₁ l₂ l₃ : list α} : l₁ <+~ l₂ → l₂ <+~ l₃ → l₁ <+~ l₃
| s ⟨l₂', p₂, s₂⟩ :=
let ⟨l₁', p₁, s₁⟩ := p₂.subperm_left.2 s in ⟨l₁', p₁, s₁.trans s₂⟩
theorem subperm.length_le {l₁ l₂ : list α} : l₁ <+~ l₂ → length l₁ ≤ length l₂
| ⟨l, p, s⟩ := p.length_eq ▸ length_le_of_sublist s
theorem subperm.perm_of_length_le {l₁ l₂ : list α} : l₁ <+~ l₂ → length l₂ ≤ length l₁ → l₁ ~ l₂
| ⟨l, p, s⟩ h :=
suffices l = l₂, from this ▸ p.symm,
eq_of_sublist_of_length_le s $ p.symm.length_eq ▸ h
theorem subperm.antisymm {l₁ l₂ : list α} (h₁ : l₁ <+~ l₂) (h₂ : l₂ <+~ l₁) : l₁ ~ l₂ :=
h₁.perm_of_length_le h₂.length_le
theorem subperm.subset {l₁ l₂ : list α} : l₁ <+~ l₂ → l₁ ⊆ l₂
| ⟨l, p, s⟩ := subset.trans p.symm.subset s.subset
end subperm
theorem sublist.exists_perm_append : ∀ {l₁ l₂ : list α}, l₁ <+ l₂ → ∃ l, l₂ ~ l₁ ++ l
| ._ ._ sublist.slnil := ⟨nil, perm.refl _⟩
| ._ ._ (sublist.cons l₁ l₂ a s) :=
let ⟨l, p⟩ := sublist.exists_perm_append s in
⟨a::l, (p.cons a).trans perm_middle.symm⟩
| ._ ._ (sublist.cons2 l₁ l₂ a s) :=
let ⟨l, p⟩ := sublist.exists_perm_append s in
⟨l, p.cons a⟩
theorem perm.countp_eq (p : α → Prop) [decidable_pred p]
{l₁ l₂ : list α} (s : l₁ ~ l₂) : countp p l₁ = countp p l₂ :=
by rw [countp_eq_length_filter, countp_eq_length_filter];
exact (s.filter _).length_eq
theorem subperm.countp_le (p : α → Prop) [decidable_pred p]
{l₁ l₂ : list α} : l₁ <+~ l₂ → countp p l₁ ≤ countp p l₂
| ⟨l, p', s⟩ := p'.countp_eq p ▸ countp_le_of_sublist s
theorem perm.count_eq [decidable_eq α] {l₁ l₂ : list α}
(p : l₁ ~ l₂) (a) : count a l₁ = count a l₂ :=
p.countp_eq _
theorem subperm.count_le [decidable_eq α] {l₁ l₂ : list α}
(s : l₁ <+~ l₂) (a) : count a l₁ ≤ count a l₂ :=
s.countp_le _
theorem perm.foldl_eq' {f : β → α → β} {l₁ l₂ : list α} (p : l₁ ~ l₂) :
(∀ (x ∈ l₁) (y ∈ l₁) z, f (f z x) y = f (f z y) x) → ∀ b, foldl f b l₁ = foldl f b l₂ :=
perm_induction_on p
(λ H b, rfl)
(λ x t₁ t₂ p r H b, r (λ x hx y hy, H _ (or.inr hx) _ (or.inr hy)) _)
(λ x y t₁ t₂ p r H b,
begin
simp only [foldl],
rw [H x (or.inr $ or.inl rfl) y (or.inl rfl)],
exact r (λ x hx y hy, H _ (or.inr $ or.inr hx) _ (or.inr $ or.inr hy)) _
end)
(λ t₁ t₂ t₃ p₁ p₂ r₁ r₂ H b, eq.trans (r₁ H b)
(r₂ (λ x hx y hy, H _ (p₁.symm.subset hx) _ (p₁.symm.subset hy)) b))
theorem perm.foldl_eq {f : β → α → β} {l₁ l₂ : list α} (rcomm : right_commutative f) (p : l₁ ~ l₂) :
∀ b, foldl f b l₁ = foldl f b l₂ :=
p.foldl_eq' $ λ x hx y hy z, rcomm z x y
theorem perm.foldr_eq {f : α → β → β} {l₁ l₂ : list α} (lcomm : left_commutative f) (p : l₁ ~ l₂) :
∀ b, foldr f b l₁ = foldr f b l₂ :=
perm_induction_on p
(λ b, rfl)
(λ x t₁ t₂ p r b, by simp; rw [r b])
(λ x y t₁ t₂ p r b, by simp; rw [lcomm, r b])
(λ t₁ t₂ t₃ p₁ p₂ r₁ r₂ a, eq.trans (r₁ a) (r₂ a))
lemma perm.rec_heq {β : list α → Sort*} {f : Πa l, β l → β (a::l)} {b : β []} {l l' : list α}
(hl : perm l l')
(f_congr : ∀{a l l' b b'}, perm l l' → b == b' → f a l b == f a l' b')
(f_swap : ∀{a a' l b}, f a (a'::l) (f a' l b) == f a' (a::l) (f a l b)) :
@list.rec α β b f l == @list.rec α β b f l' :=
begin
induction hl,
case list.perm.nil { refl },
case list.perm.cons : a l l' h ih { exact f_congr h ih },
case list.perm.swap : a a' l { exact f_swap },
case list.perm.trans : l₁ l₂ l₃ h₁ h₂ ih₁ ih₂ { exact heq.trans ih₁ ih₂ }
end
section
variables {op : α → α → α} [is_associative α op] [is_commutative α op]
local notation a * b := op a b
local notation l <*> a := foldl op a l
lemma perm.fold_op_eq {l₁ l₂ : list α} {a : α} (h : l₁ ~ l₂) : l₁ <*> a = l₂ <*> a :=
h.foldl_eq (right_comm _ is_commutative.comm is_associative.assoc) _
end
section comm_monoid
/-- If elements of a list commute with each other, then their product does not
depend on the order of elements-/
@[to_additive]
lemma perm.prod_eq' [monoid α] {l₁ l₂ : list α} (h : l₁ ~ l₂)
(hc : l₁.pairwise (λ x y, x * y = y * x)) :
l₁.prod = l₂.prod :=
h.foldl_eq' (forall_of_forall_of_pairwise (λ x y h z, (h z).symm) (λ x hx z, rfl) $
hc.imp $ λ x y h z, by simp only [mul_assoc, h]) _
variable [comm_monoid α]
@[to_additive]
lemma perm.prod_eq {l₁ l₂ : list α} (h : perm l₁ l₂) : prod l₁ = prod l₂ :=
h.fold_op_eq
@[to_additive]
lemma prod_reverse (l : list α) : prod l.reverse = prod l :=
(reverse_perm l).prod_eq
end comm_monoid
theorem perm_inv_core {a : α} {l₁ l₂ r₁ r₂ : list α} : l₁++a::r₁ ~ l₂++a::r₂ → l₁++r₁ ~ l₂++r₂ :=
begin
generalize e₁ : l₁++a::r₁ = s₁, generalize e₂ : l₂++a::r₂ = s₂,
intro p, revert l₁ l₂ r₁ r₂ e₁ e₂,
refine perm_induction_on p _ (λ x t₁ t₂ p IH, _) (λ x y t₁ t₂ p IH, _)
(λ t₁ t₂ t₃ p₁ p₂ IH₁ IH₂, _); intros l₁ l₂ r₁ r₂ e₁ e₂,
{ apply (not_mem_nil a).elim, rw ← e₁, simp },
{ cases l₁ with y l₁; cases l₂ with z l₂;
dsimp at e₁ e₂; injections; subst x,
{ substs t₁ t₂, exact p },
{ substs z t₁ t₂, exact p.trans perm_middle },
{ substs y t₁ t₂, exact perm_middle.symm.trans p },
{ substs z t₁ t₂, exact (IH rfl rfl).cons y } },
{ rcases l₁ with _|⟨y, _|⟨z, l₁⟩⟩; rcases l₂ with _|⟨u, _|⟨v, l₂⟩⟩;
dsimp at e₁ e₂; injections; substs x y,
{ substs r₁ r₂, exact p.cons a },
{ substs r₁ r₂, exact p.cons u },
{ substs r₁ v t₂, exact (p.trans perm_middle).cons u },
{ substs r₁ r₂, exact p.cons y },
{ substs r₁ r₂ y u, exact p.cons a },
{ substs r₁ u v t₂, exact ((p.trans perm_middle).cons y).trans (swap _ _ _) },
{ substs r₂ z t₁, exact (perm_middle.symm.trans p).cons y },
{ substs r₂ y z t₁, exact (swap _ _ _).trans ((perm_middle.symm.trans p).cons u) },
{ substs u v t₁ t₂, exact (IH rfl rfl).swap' _ _ } },
{ substs t₁ t₃,
have : a ∈ t₂ := p₁.subset (by simp),
rcases mem_split this with ⟨l₂, r₂, e₂⟩,
subst t₂, exact (IH₁ rfl rfl).trans (IH₂ rfl rfl) }
end
theorem perm.cons_inv {a : α} {l₁ l₂ : list α} : a::l₁ ~ a::l₂ → l₁ ~ l₂ :=
@perm_inv_core _ _ [] [] _ _
@[simp] theorem perm_cons (a : α) {l₁ l₂ : list α} : a::l₁ ~ a::l₂ ↔ l₁ ~ l₂ :=
⟨perm.cons_inv, perm.cons a⟩
theorem perm_append_left_iff {l₁ l₂ : list α} : ∀ l, l++l₁ ~ l++l₂ ↔ l₁ ~ l₂
| [] := iff.rfl
| (a::l) := (perm_cons a).trans (perm_append_left_iff l)
theorem perm_append_right_iff {l₁ l₂ : list α} (l) : l₁++l ~ l₂++l ↔ l₁ ~ l₂ :=
⟨λ p, (perm_append_left_iff _).1 $ perm_append_comm.trans $ p.trans perm_append_comm,
perm.append_right _⟩
theorem perm_option_to_list {o₁ o₂ : option α} : o₁.to_list ~ o₂.to_list ↔ o₁ = o₂ :=
begin
refine ⟨λ p, _, λ e, e ▸ perm.refl _⟩,
cases o₁ with a; cases o₂ with b, {refl},
{ cases p.length_eq },
{ cases p.length_eq },
{ exact option.mem_to_list.1 (p.symm.subset $ by simp) }
end
theorem subperm_cons (a : α) {l₁ l₂ : list α} : a::l₁ <+~ a::l₂ ↔ l₁ <+~ l₂ :=
⟨λ ⟨l, p, s⟩, begin
cases s with _ _ _ s' u _ _ s',
{ exact (p.subperm_left.2 $ (sublist_cons _ _).subperm).trans s'.subperm },
{ exact ⟨u, p.cons_inv, s'⟩ }
end, λ ⟨l, p, s⟩, ⟨a::l, p.cons a, s.cons2 _ _ _⟩⟩
theorem cons_subperm_of_mem {a : α} {l₁ l₂ : list α} (d₁ : nodup l₁) (h₁ : a ∉ l₁) (h₂ : a ∈ l₂)
(s : l₁ <+~ l₂) : a :: l₁ <+~ l₂ :=
begin
rcases s with ⟨l, p, s⟩,
induction s generalizing l₁,
case list.sublist.slnil { cases h₂ },
case list.sublist.cons : r₁ r₂ b s' ih {
simp at h₂,
cases h₂ with e m,
{ subst b, exact ⟨a::r₁, p.cons a, s'.cons2 _ _ _⟩ },
{ rcases ih m d₁ h₁ p with ⟨t, p', s'⟩, exact ⟨t, p', s'.cons _ _ _⟩ } },
case list.sublist.cons2 : r₁ r₂ b s' ih {
have bm : b ∈ l₁ := (p.subset $ mem_cons_self _ _),
have am : a ∈ r₂ := h₂.resolve_left (λ e, h₁ $ e.symm ▸ bm),
rcases mem_split bm with ⟨t₁, t₂, rfl⟩,
have st : t₁ ++ t₂ <+ t₁ ++ b :: t₂ := by simp,
rcases ih am (nodup_of_sublist st d₁)
(mt (λ x, st.subset x) h₁)
(perm.cons_inv $ p.trans perm_middle) with ⟨t, p', s'⟩,
exact ⟨b::t, (p'.cons b).trans $ (swap _ _ _).trans (perm_middle.symm.cons a), s'.cons2 _ _ _⟩ }
end
theorem subperm_append_left {l₁ l₂ : list α} : ∀ l, l++l₁ <+~ l++l₂ ↔ l₁ <+~ l₂
| [] := iff.rfl
| (a::l) := (subperm_cons a).trans (subperm_append_left l)
theorem subperm_append_right {l₁ l₂ : list α} (l) : l₁++l <+~ l₂++l ↔ l₁ <+~ l₂ :=
(perm_append_comm.subperm_left.trans perm_append_comm.subperm_right).trans (subperm_append_left l)
theorem subperm.exists_of_length_lt {l₁ l₂ : list α} :
l₁ <+~ l₂ → length l₁ < length l₂ → ∃ a, a :: l₁ <+~ l₂
| ⟨l, p, s⟩ h :=
suffices length l < length l₂ → ∃ (a : α), a :: l <+~ l₂, from
(this $ p.symm.length_eq ▸ h).imp (λ a, (p.cons a).subperm_right.1),
begin
clear subperm.exists_of_length_lt p h l₁, rename l₂ u,
induction s with l₁ l₂ a s IH _ _ b s IH; intro h,
{ cases h },
{ cases lt_or_eq_of_le (nat.le_of_lt_succ h : length l₁ ≤ length l₂) with h h,
{ exact (IH h).imp (λ a s, s.trans (sublist_cons _ _).subperm) },
{ exact ⟨a, eq_of_sublist_of_length_eq s h ▸ subperm.refl _⟩ } },
{ exact (IH $ nat.lt_of_succ_lt_succ h).imp
(λ a s, (swap _ _ _).subperm_right.1 $ (subperm_cons _).2 s) }
end
theorem subperm_of_subset_nodup
{l₁ l₂ : list α} (d : nodup l₁) (H : l₁ ⊆ l₂) : l₁ <+~ l₂ :=
begin
induction d with a l₁' h d IH,
{ exact ⟨nil, perm.nil, nil_sublist _⟩ },
{ cases forall_mem_cons.1 H with H₁ H₂,
simp at h,
exact cons_subperm_of_mem d h H₁ (IH H₂) }
end
theorem perm_ext {l₁ l₂ : list α} (d₁ : nodup l₁) (d₂ : nodup l₂) :
l₁ ~ l₂ ↔ ∀a, a ∈ l₁ ↔ a ∈ l₂ :=
⟨λ p a, p.mem_iff, λ H, subperm.antisymm
(subperm_of_subset_nodup d₁ (λ a, (H a).1))
(subperm_of_subset_nodup d₂ (λ a, (H a).2))⟩
theorem nodup.sublist_ext {l₁ l₂ l : list α} (d : nodup l)
(s₁ : l₁ <+ l) (s₂ : l₂ <+ l) : l₁ ~ l₂ ↔ l₁ = l₂ :=
⟨λ h, begin
induction s₂ with l₂ l a s₂ IH l₂ l a s₂ IH generalizing l₁,
{ exact h.eq_nil },
{ simp at d,
cases s₁ with _ _ _ s₁ l₁ _ _ s₁,
{ exact IH d.2 s₁ h },
{ apply d.1.elim,
exact subperm.subset ⟨_, h.symm, s₂⟩ (mem_cons_self _ _) } },
{ simp at d,
cases s₁ with _ _ _ s₁ l₁ _ _ s₁,
{ apply d.1.elim,
exact subperm.subset ⟨_, h, s₁⟩ (mem_cons_self _ _) },
{ rw IH d.2 s₁ h.cons_inv } }
end, λ h, by rw h⟩
section
variable [decidable_eq α]
-- attribute [congr]
theorem perm.erase (a : α) {l₁ l₂ : list α} (p : l₁ ~ l₂) :
l₁.erase a ~ l₂.erase a :=
if h₁ : a ∈ l₁ then
have h₂ : a ∈ l₂, from p.subset h₁,
perm.cons_inv $ (perm_cons_erase h₁).symm.trans $ p.trans (perm_cons_erase h₂)
else
have h₂ : a ∉ l₂, from mt p.mem_iff.2 h₁,
by rw [erase_of_not_mem h₁, erase_of_not_mem h₂]; exact p
theorem subperm_cons_erase (a : α) (l : list α) : l <+~ a :: l.erase a :=
begin
by_cases h : a ∈ l,
{ exact (perm_cons_erase h).subperm },
{ rw [erase_of_not_mem h],
exact (sublist_cons _ _).subperm }
end
theorem erase_subperm (a : α) (l : list α) : l.erase a <+~ l :=
(erase_sublist _ _).subperm
theorem subperm.erase {l₁ l₂ : list α} (a : α) (h : l₁ <+~ l₂) : l₁.erase a <+~ l₂.erase a :=
let ⟨l, hp, hs⟩ := h in ⟨l.erase a, hp.erase _, hs.erase _⟩
theorem perm.diff_right {l₁ l₂ : list α} (t : list α) (h : l₁ ~ l₂) : l₁.diff t ~ l₂.diff t :=
by induction t generalizing l₁ l₂ h; simp [*, perm.erase]
theorem perm.diff_left (l : list α) {t₁ t₂ : list α} (h : t₁ ~ t₂) : l.diff t₁ = l.diff t₂ :=
by induction h generalizing l; simp [*, perm.erase, erase_comm]
<|> exact (ih_1 _).trans (ih_2 _)
theorem perm.diff {l₁ l₂ t₁ t₂ : list α} (hl : l₁ ~ l₂) (ht : t₁ ~ t₂) :
l₁.diff t₁ ~ l₂.diff t₂ :=
ht.diff_left l₂ ▸ hl.diff_right _
theorem subperm.diff_right {l₁ l₂ : list α} (h : l₁ <+~ l₂) (t : list α) :
l₁.diff t <+~ l₂.diff t :=
by induction t generalizing l₁ l₂ h; simp [*, subperm.erase]
theorem erase_cons_subperm_cons_erase (a b : α) (l : list α) :
(a :: l).erase b <+~ a :: l.erase b :=
begin
by_cases h : a = b,
{ subst b,
rw [erase_cons_head],
apply subperm_cons_erase },
{ rw [erase_cons_tail _ h] }
end
theorem subperm_cons_diff {a : α} : ∀ {l₁ l₂ : list α}, (a :: l₁).diff l₂ <+~ a :: l₁.diff l₂
| l₁ [] := ⟨a::l₁, by simp⟩
| l₁ (b::l₂) :=
begin
simp only [diff_cons],
refine ((erase_cons_subperm_cons_erase a b l₁).diff_right l₂).trans _,
apply subperm_cons_diff
end
theorem subset_cons_diff {a : α} {l₁ l₂ : list α} : (a :: l₁).diff l₂ ⊆ a :: l₁.diff l₂ :=
subperm_cons_diff.subset
theorem perm.bag_inter_right {l₁ l₂ : list α} (t : list α) (h : l₁ ~ l₂) :
l₁.bag_inter t ~ l₂.bag_inter t :=
begin
induction h with x _ _ _ _ x y _ _ _ _ _ _ ih_1 ih_2 generalizing t, {simp},
{ by_cases x ∈ t; simp [*, perm.cons] },
{ by_cases x = y, {simp [h]},
by_cases xt : x ∈ t; by_cases yt : y ∈ t,
{ simp [xt, yt, mem_erase_of_ne h, mem_erase_of_ne (ne.symm h), erase_comm, swap] },
{ simp [xt, yt, mt mem_of_mem_erase, perm.cons] },
{ simp [xt, yt, mt mem_of_mem_erase, perm.cons] },
{ simp [xt, yt] } },
{ exact (ih_1 _).trans (ih_2 _) }
end
theorem perm.bag_inter_left (l : list α) {t₁ t₂ : list α} (p : t₁ ~ t₂) :
l.bag_inter t₁ = l.bag_inter t₂ :=
begin
induction l with a l IH generalizing t₁ t₂ p, {simp},
by_cases a ∈ t₁,
{ simp [h, p.subset h, IH (p.erase _)] },
{ simp [h, mt p.mem_iff.2 h, IH p] }
end
theorem perm.bag_inter {l₁ l₂ t₁ t₂ : list α} (hl : l₁ ~ l₂) (ht : t₁ ~ t₂) :
l₁.bag_inter t₁ ~ l₂.bag_inter t₂ :=
ht.bag_inter_left l₂ ▸ hl.bag_inter_right _
theorem cons_perm_iff_perm_erase {a : α} {l₁ l₂ : list α} : a::l₁ ~ l₂ ↔ a ∈ l₂ ∧ l₁ ~ l₂.erase a :=
⟨λ h, have a ∈ l₂, from h.subset (mem_cons_self a l₁),
⟨this, (h.trans $ perm_cons_erase this).cons_inv⟩,
λ ⟨m, h⟩, (h.cons a).trans (perm_cons_erase m).symm⟩
theorem perm_iff_count {l₁ l₂ : list α} : l₁ ~ l₂ ↔ ∀ a, count a l₁ = count a l₂ :=
⟨perm.count_eq, λ H, begin
induction l₁ with a l₁ IH generalizing l₂,
{ cases l₂ with b l₂, {refl},
specialize H b, simp at H, contradiction },
{ have : a ∈ l₂ := count_pos.1 (by rw ← H; simp; apply nat.succ_pos),
refine ((IH $ λ b, _).cons a).trans (perm_cons_erase this).symm,
specialize H b,
rw (perm_cons_erase this).count_eq at H,
by_cases b = a; simp [h] at H ⊢; assumption }
end⟩
instance decidable_perm : ∀ (l₁ l₂ : list α), decidable (l₁ ~ l₂)
| [] [] := is_true $ perm.refl _
| [] (b::l₂) := is_false $ λ h, by have := h.nil_eq; contradiction
| (a::l₁) l₂ := by haveI := decidable_perm l₁ (l₂.erase a);
exact decidable_of_iff' _ cons_perm_iff_perm_erase
-- @[congr]
theorem perm.erase_dup {l₁ l₂ : list α} (p : l₁ ~ l₂) :
erase_dup l₁ ~ erase_dup l₂ :=
perm_iff_count.2 $ λ a,
if h : a ∈ l₁
then by simp [nodup_erase_dup, h, p.subset h]
else by simp [h, mt p.mem_iff.2 h]
-- attribute [congr]
theorem perm.insert (a : α)
{l₁ l₂ : list α} (p : l₁ ~ l₂) : insert a l₁ ~ insert a l₂ :=
if h : a ∈ l₁
then by simpa [h, p.subset h] using p
else by simpa [h, mt p.mem_iff.2 h] using p.cons a
theorem perm_insert_swap (x y : α) (l : list α) :
insert x (insert y l) ~ insert y (insert x l) :=
begin
by_cases xl : x ∈ l; by_cases yl : y ∈ l; simp [xl, yl],
by_cases xy : x = y, { simp [xy] },
simp [not_mem_cons_of_ne_of_not_mem xy xl,
not_mem_cons_of_ne_of_not_mem (ne.symm xy) yl],
constructor
end
theorem perm_insert_nth {α} (x : α) (l : list α) {n} (h : n ≤ l.length) :
insert_nth n x l ~ x :: l :=
begin
induction l generalizing n,
{ cases n, refl, cases h },
cases n,
{ simp [insert_nth] },
{ simp only [insert_nth, modify_nth_tail],
transitivity,
{ apply perm.cons, apply l_ih,
apply nat.le_of_succ_le_succ h },
{ apply perm.swap } }
end
theorem perm.union_right {l₁ l₂ : list α} (t₁ : list α) (h : l₁ ~ l₂) : l₁ ∪ t₁ ~ l₂ ∪ t₁ :=
begin
induction h with a _ _ _ ih _ _ _ _ _ _ _ _ ih_1 ih_2; try {simp},
{ exact ih.insert a },
{ apply perm_insert_swap },
{ exact ih_1.trans ih_2 }
end
theorem perm.union_left (l : list α) {t₁ t₂ : list α} (h : t₁ ~ t₂) : l ∪ t₁ ~ l ∪ t₂ :=
by induction l; simp [*, perm.insert]
-- @[congr]
theorem perm.union {l₁ l₂ t₁ t₂ : list α} (p₁ : l₁ ~ l₂) (p₂ : t₁ ~ t₂) : l₁ ∪ t₁ ~ l₂ ∪ t₂ :=
(p₁.union_right t₁).trans (p₂.union_left l₂)
theorem perm.inter_right {l₁ l₂ : list α} (t₁ : list α) : l₁ ~ l₂ → l₁ ∩ t₁ ~ l₂ ∩ t₁ :=
perm.filter _
theorem perm.inter_left (l : list α) {t₁ t₂ : list α} (p : t₁ ~ t₂) : l ∩ t₁ = l ∩ t₂ :=
by { dsimp [(∩), list.inter], congr, funext a, rw [p.mem_iff] }
-- @[congr]
theorem perm.inter {l₁ l₂ t₁ t₂ : list α} (p₁ : l₁ ~ l₂) (p₂ : t₁ ~ t₂) : l₁ ∩ t₁ ~ l₂ ∩ t₂ :=
p₂.inter_left l₂ ▸ p₁.inter_right t₁
theorem perm.inter_append {l t₁ t₂ : list α} (h : disjoint t₁ t₂) : l ∩ (t₁ ++ t₂) ~ l ∩ t₁ ++ l ∩ t₂ :=
begin
induction l,
case list.nil
{ simp },
case list.cons : x xs l_ih
{ by_cases h₁ : x ∈ t₁,
{ have h₂ : x ∉ t₂ := h h₁,
simp * },
by_cases h₂ : x ∈ t₂,
{ simp only [*, inter_cons_of_not_mem, false_or, mem_append, inter_cons_of_mem, not_false_iff],
transitivity,
{ apply perm.cons _ l_ih, },
change [x] ++ xs ∩ t₁ ++ xs ∩ t₂ ~ xs ∩ t₁ ++ ([x] ++ xs ∩ t₂),
rw [← list.append_assoc],
solve_by_elim [perm.append_right, perm_append_comm] },
{ simp * } },
end
end
theorem perm.pairwise_iff {R : α → α → Prop} (S : symmetric R) :
∀ {l₁ l₂ : list α} (p : l₁ ~ l₂), pairwise R l₁ ↔ pairwise R l₂ :=
suffices ∀ {l₁ l₂}, l₁ ~ l₂ → pairwise R l₁ → pairwise R l₂, from λ l₁ l₂ p, ⟨this p, this p.symm⟩,
λ l₁ l₂ p d, begin
induction d with a l₁ h d IH generalizing l₂,
{ rw ← p.nil_eq, constructor },
{ have : a ∈ l₂ := p.subset (mem_cons_self _ _),
rcases mem_split this with ⟨s₂, t₂, rfl⟩,
have p' := (p.trans perm_middle).cons_inv,
refine (pairwise_middle S).2 (pairwise_cons.2 ⟨λ b m, _, IH _ p'⟩),
exact h _ (p'.symm.subset m) }
end
theorem perm.nodup_iff {l₁ l₂ : list α} : l₁ ~ l₂ → (nodup l₁ ↔ nodup l₂) :=
perm.pairwise_iff $ @ne.symm α
theorem perm.bind_right {l₁ l₂ : list α} (f : α → list β) (p : l₁ ~ l₂) :
l₁.bind f ~ l₂.bind f :=
begin
induction p with a l₁ l₂ p IH a b l l₁ l₂ l₃ p₁ p₂ IH₁ IH₂, {simp},
{ simp, exact IH.append_left _ },
{ simp, rw [← append_assoc, ← append_assoc], exact perm_append_comm.append_right _ },
{ exact IH₁.trans IH₂ }
end
theorem perm.bind_left (l : list α) {f g : α → list β} (h : ∀ a, f a ~ g a) :
l.bind f ~ l.bind g :=
by induction l with a l IH; simp; exact (h a).append IH
theorem perm.product_right {l₁ l₂ : list α} (t₁ : list β) (p : l₁ ~ l₂) :
product l₁ t₁ ~ product l₂ t₁ :=
p.bind_right _
theorem perm.product_left (l : list α) {t₁ t₂ : list β} (p : t₁ ~ t₂) :
product l t₁ ~ product l t₂ :=
perm.bind_left _ $ λ a, p.map _
@[congr] theorem perm.product {l₁ l₂ : list α} {t₁ t₂ : list β}
(p₁ : l₁ ~ l₂) (p₂ : t₁ ~ t₂) : product l₁ t₁ ~ product l₂ t₂ :=
(p₁.product_right t₁).trans (p₂.product_left l₂)
theorem sublists_cons_perm_append (a : α) (l : list α) :
sublists (a :: l) ~ sublists l ++ map (cons a) (sublists l) :=
begin
simp only [sublists, sublists_aux_cons_cons, cons_append, perm_cons],
refine (perm.cons _ _).trans perm_middle.symm,
induction sublists_aux l cons with b l IH; simp,
exact (IH.cons _).trans perm_middle.symm
end
theorem sublists_perm_sublists' : ∀ l : list α, sublists l ~ sublists' l
| [] := perm.refl _
| (a::l) := let IH := sublists_perm_sublists' l in
by rw sublists'_cons; exact
(sublists_cons_perm_append _ _).trans (IH.append (IH.map _))
theorem revzip_sublists (l : list α) :
∀ l₁ l₂, (l₁, l₂) ∈ revzip l.sublists → l₁ ++ l₂ ~ l :=
begin
rw revzip,
apply list.reverse_rec_on l,
{ intros l₁ l₂ h, simp at h, simp [h] },
{ intros l a IH l₁ l₂ h,
rw [sublists_concat, reverse_append, zip_append, ← map_reverse,
zip_map_right, zip_map_left] at h; [skip, {simp}],
simp only [prod.mk.inj_iff, mem_map, mem_append, prod.map_mk, prod.exists] at h,
rcases h with ⟨l₁, l₂', h, rfl, rfl⟩ | ⟨l₁', l₂, h, rfl, rfl⟩,
{ rw ← append_assoc,
exact (IH _ _ h).append_right _ },
{ rw append_assoc,
apply (perm_append_comm.append_left _).trans,
rw ← append_assoc,
exact (IH _ _ h).append_right _ } }
end
theorem revzip_sublists' (l : list α) :
∀ l₁ l₂, (l₁, l₂) ∈ revzip l.sublists' → l₁ ++ l₂ ~ l :=
begin
rw revzip,
induction l with a l IH; intros l₁ l₂ h,
{ simp at h, simp [h] },
{ rw [sublists'_cons, reverse_append, zip_append, ← map_reverse,
zip_map_right, zip_map_left] at h; [simp at h, simp],
rcases h with ⟨l₁, l₂', h, rfl, rfl⟩ | ⟨l₁', l₂, h, rfl, rfl⟩,
{ exact perm_middle.trans ((IH _ _ h).cons _) },
{ exact (IH _ _ h).cons _ } }
end
theorem perm_lookmap (f : α → option α) {l₁ l₂ : list α}
(H : pairwise (λ a b, ∀ (c ∈ f a) (d ∈ f b), a = b ∧ c = d) l₁)
(p : l₁ ~ l₂) : lookmap f l₁ ~ lookmap f l₂ :=
begin
let F := λ a b, ∀ (c ∈ f a) (d ∈ f b), a = b ∧ c = d,
change pairwise F l₁ at H,
induction p with a l₁ l₂ p IH a b l l₁ l₂ l₃ p₁ p₂ IH₁ IH₂, {simp},
{ cases h : f a,
{ simp [h], exact IH (pairwise_cons.1 H).2 },
{ simp [lookmap_cons_some _ _ h, p] } },
{ cases h₁ : f a with c; cases h₂ : f b with d,
{ simp [h₁, h₂], apply swap },
{ simp [h₁, lookmap_cons_some _ _ h₂], apply swap },
{ simp [lookmap_cons_some _ _ h₁, h₂], apply swap },
{ simp [lookmap_cons_some _ _ h₁, lookmap_cons_some _ _ h₂],
rcases (pairwise_cons.1 H).1 _ (or.inl rfl) _ h₂ _ h₁ with ⟨rfl, rfl⟩,
refl } },
{ refine (IH₁ H).trans (IH₂ ((p₁.pairwise_iff _).1 H)),
exact λ a b h c h₁ d h₂, (h d h₂ c h₁).imp eq.symm eq.symm }
end
theorem perm.erasep (f : α → Prop) [decidable_pred f] {l₁ l₂ : list α}
(H : pairwise (λ a b, f a → f b → false) l₁)
(p : l₁ ~ l₂) : erasep f l₁ ~ erasep f l₂ :=
begin
let F := λ a b, f a → f b → false,
change pairwise F l₁ at H,
induction p with a l₁ l₂ p IH a b l l₁ l₂ l₃ p₁ p₂ IH₁ IH₂, {simp},
{ by_cases h : f a,
{ simp [h, p] },
{ simp [h], exact IH (pairwise_cons.1 H).2 } },
{ by_cases h₁ : f a; by_cases h₂ : f b; simp [h₁, h₂],
{ cases (pairwise_cons.1 H).1 _ (or.inl rfl) h₂ h₁ },
{ apply swap } },
{ refine (IH₁ H).trans (IH₂ ((p₁.pairwise_iff _).1 H)),
exact λ a b h h₁ h₂, h h₂ h₁ }
end
lemma perm.take_inter {α} [decidable_eq α] {xs ys : list α} (n : ℕ)
(h : xs ~ ys) (h' : ys.nodup) :
xs.take n ~ ys.inter (xs.take n) :=
begin
simp only [list.inter] at *,
induction h generalizing n,
case list.perm.nil : n
{ simp only [not_mem_nil, filter_false, take_nil] },
case list.perm.cons : h_x h_l₁ h_l₂ h_a h_ih n
{ cases n; simp only [mem_cons_iff, true_or, eq_self_iff_true, filter_cons_of_pos,
perm_cons, take, not_mem_nil, filter_false],
cases h' with _ _ h₁ h₂,
convert h_ih h₂ n using 1,
apply filter_congr,
introv h, simp only [(h₁ x h).symm, false_or], },
case list.perm.swap : h_x h_y h_l n
{ cases h' with _ _ h₁ h₂,
cases h₂ with _ _ h₂ h₃,
have := h₁ _ (or.inl rfl),
cases n; simp only [mem_cons_iff, not_mem_nil, filter_false, take],
cases n; simp only [mem_cons_iff, false_or, true_or, filter, *, nat.nat_zero_eq_zero, if_true,
not_mem_nil, eq_self_iff_true, or_false, if_false, perm_cons, take],
{ rw filter_eq_nil.2, intros, solve_by_elim [ne.symm], },
{ convert perm.swap _ _ _, rw @filter_congr _ _ (∈ take n h_l),
{ clear h₁, induction n generalizing h_l; simp only [not_mem_nil, filter_false, take],
cases h_l; simp only [mem_cons_iff, true_or, eq_self_iff_true, filter_cons_of_pos,
true_and, take, not_mem_nil, filter_false, take_nil],
cases h₃ with _ _ h₃ h₄,
rwa [@filter_congr _ _ (∈ take n_n h_l_tl), n_ih],
{ introv h, apply h₂ _ (or.inr h), },
{ introv h, simp only [(h₃ x h).symm, false_or], }, },
{ introv h, simp only [(h₂ x h).symm, (h₁ x (or.inr h)).symm, false_or], } } },
case list.perm.trans : h_l₁ h_l₂ h_l₃ h₀ h₁ h_ih₀ h_ih₁ n
{ transitivity,
{ apply h_ih₀, rwa h₁.nodup_iff },
{ apply perm.filter _ h₁, } },
end
lemma perm.drop_inter {α} [decidable_eq α] {xs ys : list α} (n : ℕ)
(h : xs ~ ys) (h' : ys.nodup) :
xs.drop n ~ ys.inter (xs.drop n) :=
begin
by_cases h'' : n ≤ xs.length,
{ let n' := xs.length - n,
have h₀ : n = xs.length - n',
{ dsimp [n'], rwa nat.sub_sub_self, } ,
have h₁ : n' ≤ xs.length,
{ apply nat.sub_le_self },
have h₂ : xs.drop n = (xs.reverse.take n').reverse,
{ rw [reverse_take _ h₁, h₀, reverse_reverse], },
rw [h₂],
apply (reverse_perm _).trans,
rw inter_reverse,
apply perm.take_inter _ _ h',
apply (reverse_perm _).trans; assumption, },
{ have : drop n xs = [],
{ apply eq_nil_of_length_eq_zero,
rw [length_drop, nat.sub_eq_zero_iff_le],
apply le_of_not_ge h'' },
simp [this, list.inter], }
end
lemma perm.slice_inter {α} [decidable_eq α] {xs ys : list α} (n m : ℕ)
(h : xs ~ ys) (h' : ys.nodup) :
list.slice n m xs ~ ys ∩ (list.slice n m xs) :=
begin
simp only [slice_eq],
have : n ≤ n + m := nat.le_add_right _ _,
have := h.nodup_iff.2 h',
apply perm.trans _ (perm.inter_append _).symm;
solve_by_elim [perm.append, perm.drop_inter, perm.take_inter, disjoint_take_drop, h, h']
{ max_depth := 7 },
end
/- enumerating permutations -/
section permutations
theorem permutations_aux2_fst (t : α) (ts : list α) (r : list β) : ∀ (ys : list α) (f : list α → β),
(permutations_aux2 t ts r ys f).1 = ys ++ ts
| [] f := rfl
| (y::ys) f := match _, permutations_aux2_fst ys _ : ∀ o : list α × list β, o.1 = ys ++ ts →
(permutations_aux2._match_1 t y f o).1 = y :: ys ++ ts with
| ⟨_, zs⟩, rfl := rfl
end
@[simp] theorem permutations_aux2_snd_nil (t : α) (ts : list α) (r : list β) (f : list α → β) :
(permutations_aux2 t ts r [] f).2 = r := rfl
@[simp] theorem permutations_aux2_snd_cons (t : α) (ts : list α) (r : list β) (y : α) (ys : list α)
(f : list α → β) :
(permutations_aux2 t ts r (y::ys) f).2 = f (t :: y :: ys ++ ts) ::
(permutations_aux2 t ts r ys (λx : list α, f (y::x))).2 :=
match _, permutations_aux2_fst t ts r _ _ : ∀ o : list α × list β, o.1 = ys ++ ts →
(permutations_aux2._match_1 t y f o).2 = f (t :: y :: ys ++ ts) :: o.2 with
| ⟨_, zs⟩, rfl := rfl
end
theorem permutations_aux2_append (t : α) (ts : list α) (r : list β) (ys : list α) (f : list α → β) :
(permutations_aux2 t ts nil ys f).2 ++ r = (permutations_aux2 t ts r ys f).2 :=
by induction ys generalizing f; simp *
theorem mem_permutations_aux2 {t : α} {ts : list α} {ys : list α} {l l' : list α} :
l' ∈ (permutations_aux2 t ts [] ys (append l)).2 ↔
∃ l₁ l₂, l₂ ≠ [] ∧ ys = l₁ ++ l₂ ∧ l' = l ++ l₁ ++ t :: l₂ ++ ts :=
begin
induction ys with y ys ih generalizing l,
{ simp {contextual := tt} },
{ rw [permutations_aux2_snd_cons, show (λ (x : list α), l ++ y :: x) = append (l ++ [y]),
by funext; simp, mem_cons_iff, ih], split; intro h,
{ rcases h with e | ⟨l₁, l₂, l0, ye, _⟩,
{ subst l', exact ⟨[], y::ys, by simp⟩ },
{ substs l' ys, exact ⟨y::l₁, l₂, l0, by simp⟩ } },
{ rcases h with ⟨_ | ⟨y', l₁⟩, l₂, l0, ye, rfl⟩,
{ simp [ye] },
{ simp at ye, rcases ye with ⟨rfl, rfl⟩,
exact or.inr ⟨l₁, l₂, l0, by simp⟩ } } }
end
theorem mem_permutations_aux2' {t : α} {ts : list α} {ys : list α} {l : list α} :
l ∈ (permutations_aux2 t ts [] ys id).2 ↔
∃ l₁ l₂, l₂ ≠ [] ∧ ys = l₁ ++ l₂ ∧ l = l₁ ++ t :: l₂ ++ ts :=
by rw [show @id (list α) = append nil, by funext; refl]; apply mem_permutations_aux2
theorem length_permutations_aux2 (t : α) (ts : list α) (ys : list α) (f : list α → β) :
length (permutations_aux2 t ts [] ys f).2 = length ys :=
by induction ys generalizing f; simp *
theorem foldr_permutations_aux2 (t : α) (ts : list α) (r L : list (list α)) :
foldr (λy r, (permutations_aux2 t ts r y id).2) r L =
L.bind (λ y, (permutations_aux2 t ts [] y id).2) ++ r :=
by induction L with l L ih; [refl, {simp [ih], rw ← permutations_aux2_append}]
theorem mem_foldr_permutations_aux2 {t : α} {ts : list α} {r L : list (list α)} {l' : list α} :
l' ∈ foldr (λy r, (permutations_aux2 t ts r y id).2) r L ↔ l' ∈ r ∨
∃ l₁ l₂, l₁ ++ l₂ ∈ L ∧ l₂ ≠ [] ∧ l' = l₁ ++ t :: l₂ ++ ts :=
have (∃ (a : list α), a ∈ L ∧
∃ (l₁ l₂ : list α), ¬l₂ = nil ∧ a = l₁ ++ l₂ ∧ l' = l₁ ++ t :: (l₂ ++ ts)) ↔
∃ (l₁ l₂ : list α), ¬l₂ = nil ∧ l₁ ++ l₂ ∈ L ∧ l' = l₁ ++ t :: (l₂ ++ ts),
from ⟨λ ⟨a, aL, l₁, l₂, l0, e, h⟩, ⟨l₁, l₂, l0, e ▸ aL, h⟩,
λ ⟨l₁, l₂, l0, aL, h⟩, ⟨_, aL, l₁, l₂, l0, rfl, h⟩⟩,
by rw foldr_permutations_aux2; simp [mem_permutations_aux2', this,
or.comm, or.left_comm, or.assoc, and.comm, and.left_comm, and.assoc]
theorem length_foldr_permutations_aux2 (t : α) (ts : list α) (r L : list (list α)) :
length (foldr (λy r, (permutations_aux2 t ts r y id).2) r L) = sum (map length L) + length r :=
by simp [foldr_permutations_aux2, (∘), length_permutations_aux2]
theorem length_foldr_permutations_aux2' (t : α) (ts : list α) (r L : list (list α))
(n) (H : ∀ l ∈ L, length l = n) :
length (foldr (λy r, (permutations_aux2 t ts r y id).2) r L) = n * length L + length r :=
begin
rw [length_foldr_permutations_aux2, (_ : sum (map length L) = n * length L)],
induction L with l L ih, {simp},
have sum_map : sum (map length L) = n * length L :=
ih (λ l m, H l (mem_cons_of_mem _ m)),
have length_l : length l = n := H _ (mem_cons_self _ _),
simp [sum_map, length_l, mul_add, add_comm]
end
theorem perm_of_mem_permutations_aux :
∀ {ts is l : list α}, l ∈ permutations_aux ts is → l ~ ts ++ is :=
begin
refine permutations_aux.rec (by simp) _,
introv IH1 IH2 m,
rw [permutations_aux_cons, permutations, mem_foldr_permutations_aux2] at m,
rcases m with m | ⟨l₁, l₂, m, _, e⟩,
{ exact (IH1 m).trans perm_middle },
{ subst e,
have p : l₁ ++ l₂ ~ is,
{ simp [permutations] at m,
cases m with e m, {simp [e]},
exact is.append_nil ▸ IH2 m },
exact ((perm_middle.trans (p.cons _)).append_right _).trans (perm_append_comm.cons _) }
end
theorem perm_of_mem_permutations {l₁ l₂ : list α}
(h : l₁ ∈ permutations l₂) : l₁ ~ l₂ :=
(eq_or_mem_of_mem_cons h).elim (λ e, e ▸ perm.refl _)
(λ m, append_nil l₂ ▸ perm_of_mem_permutations_aux m)
theorem length_permutations_aux : ∀ ts is : list α,
length (permutations_aux ts is) + is.length! = (length ts + length is)! :=
begin
refine permutations_aux.rec (by simp) _,
intros t ts is IH1 IH2,
have IH2 : length (permutations_aux is nil) + 1 = is.length!,
{ simpa using IH2 },
simp [-add_comm, nat.factorial, nat.add_succ, mul_comm] at IH1,
rw [permutations_aux_cons,
length_foldr_permutations_aux2' _ _ _ _ _
(λ l m, (perm_of_mem_permutations m).length_eq),
permutations, length, length, IH2,
nat.succ_add, nat.factorial_succ, mul_comm (nat.succ _), ← IH1,
add_comm (_*_), add_assoc, nat.mul_succ, mul_comm]
end
theorem length_permutations (l : list α) : length (permutations l) = (length l)! :=
length_permutations_aux l []
theorem mem_permutations_of_perm_lemma {is l : list α}
(H : l ~ [] ++ is → (∃ ts' ~ [], l = ts' ++ is) ∨ l ∈ permutations_aux is [])
: l ~ is → l ∈ permutations is :=
by simpa [permutations, perm_nil] using H
theorem mem_permutations_aux_of_perm :
∀ {ts is l : list α}, l ~ is ++ ts → (∃ is' ~ is, l = is' ++ ts) ∨ l ∈ permutations_aux ts is :=
begin
refine permutations_aux.rec (by simp) _,
intros t ts is IH1 IH2 l p,
rw [permutations_aux_cons, mem_foldr_permutations_aux2],
rcases IH1 (p.trans perm_middle) with ⟨is', p', e⟩ | m,
{ clear p, subst e,
rcases mem_split (p'.symm.subset (mem_cons_self _ _)) with ⟨l₁, l₂, e⟩,
subst is',
have p := (perm_middle.symm.trans p').cons_inv,
cases l₂ with a l₂',
{ exact or.inl ⟨l₁, by simpa using p⟩ },
{ exact or.inr (or.inr ⟨l₁, a::l₂',
mem_permutations_of_perm_lemma IH2 p, by simp⟩) } },
{ exact or.inr (or.inl m) }
end
@[simp] theorem mem_permutations (s t : list α) : s ∈ permutations t ↔ s ~ t :=
⟨perm_of_mem_permutations, mem_permutations_of_perm_lemma mem_permutations_aux_of_perm⟩
end permutations
end list
|
552c99a743364235e3f18621f58450ff41febc5d | dd0f5513e11c52db157d2fcc8456d9401a6cd9da | /06_Inductive_Types.org.7.lean | e834639ffb9521019b0d5414ed366eab130d3054 | [] | no_license | cjmazey/lean-tutorial | ba559a49f82aa6c5848b9bf17b7389bf7f4ba645 | 381f61c9fcac56d01d959ae0fa6e376f2c4e3b34 | refs/heads/master | 1,610,286,098,832 | 1,447,124,923,000 | 1,447,124,923,000 | 43,082,433 | 0 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 935 | lean | /- page 79 -/
import standard
inductive weekday : Type :=
| sunday : weekday
| monday : weekday
| tuesday : weekday
| wednesday : weekday
| thursday : weekday
| friday : weekday
| saturday : weekday
namespace weekday
definition next (d : weekday) : weekday :=
weekday.cases_on d monday tuesday wednesday thursday friday saturday sunday
definition previous (d : weekday) : weekday :=
weekday.cases_on d saturday sunday monday tuesday wednesday thursday friday
-- BEGIN
theorem next_previous (d: weekday) : next (previous d) = d :=
weekday.induction_on d
(show next (previous sunday) = sunday, from rfl)
(show next (previous monday) = monday, from rfl)
(show next (previous tuesday) = tuesday, from rfl)
(show next (previous wednesday) = wednesday, from rfl)
(show next (previous thursday) = thursday, from rfl)
(show next (previous friday) = friday, from rfl)
(show next (previous saturday) = saturday, from rfl)
-- END
end weekday
|
fb413aa4fd155f8b606484c83362bce0e68c8a08 | 6432ea7a083ff6ba21ea17af9ee47b9c371760f7 | /tests/lean/run/1822.lean | 3187ad7208a28bed47b0b19b78e365af40333d48 | [
"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 | 211 | lean | class F (α : Sort _) extends Inhabited α
instance : F True where
default := trivial
def X (α β) [F α] : (α → β) → β :=
fun f => f default
def Y (α : Sort _) : (True → α) → α :=
X _ _
|
90c281c15a59ee2372338531bb3f936b59a634f2 | b9d8165d695e844c92d9d4cdcac7b5ab9efe09f7 | /src/topology/algebra/ordered.lean | fd16868d8fd7cf78c8ffdbe1a3686da89e2f29f0 | [
"Apache-2.0"
] | permissive | spapinistarkware/mathlib | e917d9c44bf85ef51db18e7a11615959f714efc5 | 0a9a1ff463a1f26e27d7c391eb7f6334f0d90383 | refs/heads/master | 1,606,808,129,547 | 1,577,478,369,000 | 1,577,478,369,000 | null | 0 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 64,026 | 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, Yury Kudryashov
-/
import tactic.tfae
import order.liminf_limsup
import data.set.intervals
import topology.algebra.group
import topology.constructions
/-! # Theory of ordered topology
## Main definitions
`ordered_topology` and `orderable_topology`
TODO expand
## Main statements
This file contains the proofs of the following facts:
* all intervals `I??` are connected,
* Intermediate Value Theorem, both for connected sets and `Icc` intervals,
* Extreme Value Theorem: a continuous function on a compact set takes its maximum value.
TODO expand
-/
open classical set lattice filter topological_space
open_locale topological_space classical
universes u v w
variables {α : Type u} {β : Type v} {γ : Type w}
/-- (Partially) ordered topology
Also called: partially ordered spaces (pospaces).
Usually ordered topology is used for a topology on linear ordered spaces, where the open intervals
are open sets. This is a generalization as for each linear order where open interals are open sets,
the order relation is closed. -/
class ordered_topology (α : Type*) [t : topological_space α] [preorder α] : Prop :=
(is_closed_le' : is_closed (λp:α×α, p.1 ≤ p.2))
instance : Π [topological_space α], topological_space (order_dual α) := id
section ordered_topology
section preorder
variables [topological_space α] [preorder α] [t : ordered_topology α]
include t
lemma is_closed_le [topological_space β] {f g : β → α} (hf : continuous f) (hg : continuous g) :
is_closed {b | f b ≤ g b} :=
continuous_iff_is_closed.mp (hf.prod_mk hg) _ t.is_closed_le'
lemma is_closed_le' (a : α) : is_closed {b | b ≤ a} :=
is_closed_le continuous_id continuous_const
lemma is_closed_Iic {a : α} : is_closed (Iic a) :=
is_closed_le' a
lemma is_closed_ge' (a : α) : is_closed {b | a ≤ b} :=
is_closed_le continuous_const continuous_id
lemma is_closed_Ici {a : α} : is_closed (Ici a) :=
is_closed_ge' a
instance : ordered_topology (order_dual α) :=
⟨continuous_swap _ (@ordered_topology.is_closed_le' α _ _ _)⟩
lemma is_closed_Icc {a b : α} : is_closed (Icc a b) :=
is_closed_inter is_closed_Ici is_closed_Iic
lemma le_of_tendsto_of_tendsto {f g : β → α} {b : filter β} {a₁ a₂ : α} (hb : b ≠ ⊥)
(hf : tendsto f b (𝓝 a₁)) (hg : tendsto g b (𝓝 a₂)) (h : {b | f b ≤ g b} ∈ b) :
a₁ ≤ a₂ :=
have tendsto (λb, (f b, g b)) b (𝓝 (a₁, a₂)),
by rw [nhds_prod_eq]; exact hf.prod_mk hg,
show (a₁, a₂) ∈ {p:α×α | p.1 ≤ p.2},
from mem_of_closed_of_tendsto hb this t.is_closed_le' h
lemma le_of_tendsto {f : β → α} {a b : α} {x : filter β}
(nt : x ≠ ⊥) (lim : tendsto f x (𝓝 a)) (h : f ⁻¹' {c | c ≤ b} ∈ x) : a ≤ b :=
le_of_tendsto_of_tendsto nt lim tendsto_const_nhds h
lemma ge_of_tendsto {f : β → α} {a b : α} {x : filter β}
(nt : x ≠ ⊥) (lim : tendsto f x (𝓝 a)) (h : f ⁻¹' {c | b ≤ c} ∈ x) : b ≤ a :=
le_of_tendsto_of_tendsto nt tendsto_const_nhds lim h
@[simp] lemma closure_le_eq [topological_space β] {f g : β → α} (hf : continuous f) (hg : continuous g) :
closure {b | f b ≤ g b} = {b | f b ≤ g b} :=
closure_eq_iff_is_closed.mpr $ is_closed_le hf hg
lemma closure_lt_subset_le [topological_space β] {f g : β → α} (hf : continuous f) (hg : continuous g) :
closure {b | f b < g b} ⊆ {b | f b ≤ g b} :=
by { rw [←closure_le_eq hf hg], exact closure_mono (λ b, le_of_lt) }
lemma continuous_within_at.closure_le [topological_space β]
{f g : β → α} {s : set β} {x : β} (hx : x ∈ closure s)
(hf : continuous_within_at f s x)
(hg : continuous_within_at g s x)
(h : ∀ y ∈ s, f y ≤ g y) : f x ≤ g x :=
begin
show (f x, g x) ∈ {p : α × α | p.1 ≤ p.2},
suffices : (f x, g x) ∈ closure {p : α × α | p.1 ≤ p.2},
by rwa ← closure_eq_iff_is_closed.2 (ordered_topology.is_closed_le' α),
exact (continuous_within_at.prod hf hg).mem_closure hx h
end
end preorder
section partial_order
variables [topological_space α] [partial_order α] [t : ordered_topology α]
include t
private lemma is_closed_eq : is_closed {p : α × α | p.1 = p.2} :=
by simp [le_antisymm_iff];
exact is_closed_inter t.is_closed_le' (is_closed_le continuous_snd continuous_fst)
@[priority 100] -- see Note [lower instance priority]
instance ordered_topology.to_t2_space : t2_space α :=
{ t2 :=
have is_open {p : α × α | p.1 ≠ p.2}, from is_closed_eq,
assume a b h,
let ⟨u, v, hu, hv, ha, hb, h⟩ := is_open_prod_iff.mp this a b h in
⟨u, v, hu, hv, ha, hb,
set.eq_empty_iff_forall_not_mem.2 $ assume a ⟨h₁, h₂⟩,
have a ≠ a, from @h (a, a) ⟨h₁, h₂⟩,
this rfl⟩ }
end partial_order
section linear_order
variables [topological_space α] [linear_order α] [ordered_topology α]
lemma is_open_lt [topological_space β] {f g : β → α} (hf : continuous f) (hg : continuous g) :
is_open {b | f b < g b} :=
by simp [lt_iff_not_ge, -not_le]; exact is_closed_le hg hf
lemma is_open_Iio {a : α} : is_open (Iio a) :=
is_open_lt continuous_id continuous_const
lemma is_open_Ioi {a : α} : is_open (Ioi a) :=
is_open_lt continuous_const continuous_id
lemma is_open_Ioo {a b : α} : is_open (Ioo a b) :=
is_open_inter is_open_Ioi is_open_Iio
lemma is_connected.forall_Icc_subset {s : set α} (hs : is_connected s)
{a b : α} (ha : a ∈ s) (hb : b ∈ s) :
Icc a b ⊆ s :=
begin
assume x hx,
obtain ⟨y, hy, hy'⟩ : (s ∩ ((Iic x) ∩ (Ici x))).nonempty,
from is_connected_closed_iff.1 hs (Iic x) (Ici x) is_closed_Iic is_closed_Ici
(λ y _, le_total y x) ⟨a, ha, hx.1⟩ ⟨b, hb, hx.2⟩,
exact le_antisymm hy'.1 hy'.2 ▸ hy
end
/-- Intermediate Value Theorem for continuous functions on connected sets. -/
lemma is_connected.intermediate_value {γ : Type*} [topological_space γ] {s : set γ}
(hs : is_connected s) {a b : γ} (ha : a ∈ s) (hb : b ∈ s) {f : γ → α} (hf : continuous_on f s) :
Icc (f a) (f b) ⊆ f '' s :=
(hs.image f hf).forall_Icc_subset (mem_image_of_mem f ha) (mem_image_of_mem f hb)
/-- Intermediate Value Theorem for continuous functions on connected spaces. -/
lemma intermediate_value_univ {γ : Type*} [topological_space γ] [H : connected_space γ]
(a b : γ) {f : γ → α} (hf : continuous f) :
Icc (f a) (f b) ⊆ range f :=
@image_univ _ _ f ▸ H.is_connected_univ.intermediate_value trivial trivial hf.continuous_on
end linear_order
section decidable_linear_order
variables [topological_space α] [decidable_linear_order α] [t : ordered_topology α] {f g : β → α}
include t
section
variables [topological_space β] (hf : continuous f) (hg : continuous g)
include hf hg
lemma frontier_le_subset_eq : frontier {b | f b ≤ g b} ⊆ {b | f b = g b} :=
begin
rw [frontier_eq_closure_inter_closure, closure_le_eq hf hg],
rintros b ⟨hb₁, hb₂⟩,
refine le_antisymm hb₁ (closure_lt_subset_le hg hf _),
convert hb₂ using 2, simp only [not_le.symm], refl
end
lemma frontier_lt_subset_eq : frontier {b | f b < g b} ⊆ {b | f b = g b} :=
by rw ← frontier_compl;
convert frontier_le_subset_eq hg hf; simp [ext_iff, eq_comm]
lemma continuous.max : continuous (λb, max (f b) (g b)) :=
have ∀b∈frontier {b | f b ≤ g b}, g b = f b, from assume b hb, (frontier_le_subset_eq hf hg hb).symm,
continuous_if this hg hf
lemma continuous.min : continuous (λb, min (f b) (g b)) :=
have ∀b∈frontier {b | f b ≤ g b}, f b = g b, from assume b hb, frontier_le_subset_eq hf hg hb,
continuous_if this hf hg
end
lemma tendsto.max {b : filter β} {a₁ a₂ : α} (hf : tendsto f b (𝓝 a₁)) (hg : tendsto g b (𝓝 a₂)) :
tendsto (λb, max (f b) (g b)) b (𝓝 (max a₁ a₂)) :=
show tendsto ((λp:α×α, max p.1 p.2) ∘ (λb, (f b, g b))) b (𝓝 (max a₁ a₂)),
from tendsto.comp
begin
rw [←nhds_prod_eq],
from continuous_iff_continuous_at.mp (continuous_fst.max continuous_snd) _
end
(hf.prod_mk hg)
lemma tendsto.min {b : filter β} {a₁ a₂ : α} (hf : tendsto f b (𝓝 a₁)) (hg : tendsto g b (𝓝 a₂)) :
tendsto (λb, min (f b) (g b)) b (𝓝 (min a₁ a₂)) :=
show tendsto ((λp:α×α, min p.1 p.2) ∘ (λb, (f b, g b))) b (𝓝 (min a₁ a₂)),
from tendsto.comp
begin
rw [←nhds_prod_eq],
from continuous_iff_continuous_at.mp (continuous_fst.min continuous_snd) _
end
(hf.prod_mk hg)
end decidable_linear_order
end ordered_topology
/-- Topologies generated by the open intervals.
This is restricted to linear orders. Only then it is guaranteed that they are also a ordered
topology. -/
class orderable_topology (α : Type*) [t : topological_space α] [partial_order α] : Prop :=
(topology_eq_generate_intervals : t = generate_from {s | ∃a, s = Ioi a ∨ s = Iio a})
section orderable_topology
instance {α : Type*} [topological_space α] [partial_order α] [orderable_topology α] :
orderable_topology (order_dual α) :=
⟨by convert @orderable_topology.topology_eq_generate_intervals α _ _ _;
conv in (_ ∨ _) { rw or.comm }; refl⟩
section partial_order
variables [topological_space α] [partial_order α] [t : orderable_topology α]
include t
lemma is_open_iff_generate_intervals {s : set α} :
is_open s ↔ generate_open {s | ∃a, s = Ioi a ∨ s = Iio a} s :=
by rw [t.topology_eq_generate_intervals]; refl
lemma is_open_lt' (a : α) : is_open {b:α | a < b} :=
by rw [@is_open_iff_generate_intervals α _ _ t]; exact generate_open.basic _ ⟨a, or.inl rfl⟩
lemma is_open_gt' (a : α) : is_open {b:α | b < a} :=
by rw [@is_open_iff_generate_intervals α _ _ t]; exact generate_open.basic _ ⟨a, or.inr rfl⟩
lemma lt_mem_nhds {a b : α} (h : a < b) : {b | a < b} ∈ 𝓝 b :=
mem_nhds_sets (is_open_lt' _) h
lemma le_mem_nhds {a b : α} (h : a < b) : {b | a ≤ b} ∈ 𝓝 b :=
(𝓝 b).sets_of_superset (lt_mem_nhds h) $ assume b hb, le_of_lt hb
lemma gt_mem_nhds {a b : α} (h : a < b) : {a | a < b} ∈ 𝓝 a :=
mem_nhds_sets (is_open_gt' _) h
lemma ge_mem_nhds {a b : α} (h : a < b) : {a | a ≤ b} ∈ 𝓝 a :=
(𝓝 a).sets_of_superset (gt_mem_nhds h) $ assume b hb, le_of_lt hb
lemma nhds_eq_orderable (a : α) :
𝓝 a = (⨅b ∈ Iio a, principal (Ioi b)) ⊓ (⨅b ∈ Ioi a, principal (Iio b)) :=
by rw [t.topology_eq_generate_intervals, nhds_generate_from];
from le_antisymm
(le_inf
(le_infi $ assume b, le_infi $ assume hb,
infi_le_of_le {c : α | b < c} $ infi_le _ ⟨hb, b, or.inl rfl⟩)
(le_infi $ assume b, le_infi $ assume hb,
infi_le_of_le {c : α | c < b} $ infi_le _ ⟨hb, b, or.inr rfl⟩))
(le_infi $ assume s, le_infi $ assume ⟨ha, b, hs⟩,
match s, ha, hs with
| _, h, (or.inl rfl) := inf_le_left_of_le $ infi_le_of_le b $ infi_le _ h
| _, h, (or.inr rfl) := inf_le_right_of_le $ infi_le_of_le b $ infi_le _ h
end)
lemma tendsto_orderable {f : β → α} {a : α} {x : filter β} :
tendsto f x (𝓝 a) ↔ (∀a'<a, {b | a' < f b} ∈ x) ∧ (∀a'>a, {b | a' > f b} ∈ x) :=
by simp [nhds_eq_orderable a, tendsto_inf, tendsto_infi, tendsto_principal]
/-- Also known as squeeze or sandwich theorem. -/
lemma tendsto_of_tendsto_of_tendsto_of_le_of_le {f g h : β → α} {b : filter β} {a : α}
(hg : tendsto g b (𝓝 a)) (hh : tendsto h b (𝓝 a))
(hgf : {b | g b ≤ f b} ∈ b) (hfh : {b | f b ≤ h b} ∈ b) :
tendsto f b (𝓝 a) :=
tendsto_orderable.2
⟨assume a' h',
have {b : β | a' < g b} ∈ b, from (tendsto_orderable.1 hg).left a' h',
by filter_upwards [this, hgf] assume a, lt_of_lt_of_le,
assume a' h',
have {b : β | h b < a'} ∈ b, from (tendsto_orderable.1 hh).right a' h',
by filter_upwards [this, hfh] assume a h₁ h₂, lt_of_le_of_lt h₂ h₁⟩
lemma nhds_orderable_unbounded {a : α} (hu : ∃u, a < u) (hl : ∃l, l < a) :
𝓝 a = (⨅l (h₂ : l < a) u (h₂ : a < u), principal (Ioo l u)) :=
let ⟨u, hu⟩ := hu, ⟨l, hl⟩ := hl in
calc 𝓝 a = (⨅b<a, principal {c | b < c}) ⊓ (⨅b>a, principal {c | c < b}) : nhds_eq_orderable a
... = (⨅b<a, principal {c | b < c} ⊓ (⨅b>a, principal {c | c < b})) :
binfi_inf hl
... = (⨅l<a, (⨅u>a, principal {c | c < u} ⊓ principal {c | l < c})) :
begin
congr, funext x,
congr, funext hx,
rw [inf_comm],
apply binfi_inf hu
end
... = _ : by simp [inter_comm]; refl
lemma tendsto_orderable_unbounded {f : β → α} {a : α} {x : filter β}
(hu : ∃u, a < u) (hl : ∃l, l < a) (h : ∀l u, l < a → a < u → {b | l < f b ∧ f b < u } ∈ x) :
tendsto f x (𝓝 a) :=
by rw [nhds_orderable_unbounded hu hl];
from (tendsto_infi.2 $ assume l, tendsto_infi.2 $ assume hl,
tendsto_infi.2 $ assume u, tendsto_infi.2 $ assume hu, tendsto_principal.2 $ h l u hl hu)
end partial_order
theorem induced_orderable_topology' {α : Type u} {β : Type v}
[partial_order α] [ta : topological_space β] [partial_order β] [orderable_topology β]
(f : α → β) (hf : ∀ {x y}, f x < f y ↔ x < y)
(H₁ : ∀ {a x}, x < f a → ∃ b < a, x ≤ f b)
(H₂ : ∀ {a x}, f a < x → ∃ b > a, f b ≤ x) :
@orderable_topology _ (induced f ta) _ :=
begin
letI := induced f ta,
refine ⟨eq_of_nhds_eq_nhds (λ a, _)⟩,
rw [nhds_induced, nhds_generate_from, nhds_eq_orderable (f a)],
apply le_antisymm,
{ refine le_infi (λ s, le_infi $ λ hs, le_principal_iff.2 _),
rcases hs with ⟨ab, b, rfl|rfl⟩,
{ exact mem_comap_sets.2 ⟨{x | f b < x},
mem_inf_sets_of_left $ mem_infi_sets _ $ mem_infi_sets (hf.2 ab) $ mem_principal_self _,
λ x, hf.1⟩ },
{ exact mem_comap_sets.2 ⟨{x | x < f b},
mem_inf_sets_of_right $ mem_infi_sets _ $ mem_infi_sets (hf.2 ab) $ mem_principal_self _,
λ x, hf.1⟩ } },
{ rw [← map_le_iff_le_comap],
refine le_inf _ _; refine le_infi (λ x, le_infi $ λ h, le_principal_iff.2 _); simp,
{ rcases H₁ h with ⟨b, ab, xb⟩,
refine mem_infi_sets _ (mem_infi_sets ⟨ab, b, or.inl rfl⟩ (mem_principal_sets.2 _)),
exact λ c hc, lt_of_le_of_lt xb (hf.2 hc) },
{ rcases H₂ h with ⟨b, ab, xb⟩,
refine mem_infi_sets _ (mem_infi_sets ⟨ab, b, or.inr rfl⟩ (mem_principal_sets.2 _)),
exact λ c hc, lt_of_lt_of_le (hf.2 hc) xb } },
end
theorem induced_orderable_topology {α : Type u} {β : Type v}
[partial_order α] [ta : topological_space β] [partial_order β] [orderable_topology β]
(f : α → β) (hf : ∀ {x y}, f x < f y ↔ x < y)
(H : ∀ {x y}, x < y → ∃ a, x < f a ∧ f a < y) :
@orderable_topology _ (induced f ta) _ :=
induced_orderable_topology' f @hf
(λ a x xa, let ⟨b, xb, ba⟩ := H xa in ⟨b, hf.1 ba, le_of_lt xb⟩)
(λ a x ax, let ⟨b, ab, bx⟩ := H ax in ⟨b, hf.1 ab, le_of_lt bx⟩)
lemma nhds_top_orderable [topological_space α] [order_top α] [orderable_topology α] :
𝓝 (⊤:α) = (⨅l (h₂ : l < ⊤), principal (Ioi l)) :=
by simp [nhds_eq_orderable (⊤:α)]
lemma nhds_bot_orderable [topological_space α] [order_bot α] [orderable_topology α] :
𝓝 (⊥:α) = (⨅l (h₂ : ⊥ < l), principal (Iio l)) :=
by simp [nhds_eq_orderable (⊥:α)]
section linear_order
variables [topological_space α] [linear_order α] [t : orderable_topology α]
include t
lemma exists_Ioc_subset_of_mem_nhds' {a : α} {s : set α} (hs : s ∈ 𝓝 a) {l : α} (hl : l < a) :
∃ l' ∈ Ico l a, Ioc l' a ⊆ s :=
begin
rw [nhds_eq_orderable a] at hs,
rcases hs with ⟨t₁, ht₁, t₂, ht₂, hts⟩,
-- First we show that `t₂` includes `(-∞, a]`, so it suffices to show `(l', ∞) ⊆ t₁`
suffices : ∃ l' ∈ Ico l a, Ioi l' ⊆ t₁,
{ have A : principal (Iic a) ≤ ⨅ b ∈ Ioi a, principal (Iio b),
from (le_infi $ λ b, le_infi $ λ hb, principal_mono.2 $ Iic_subset_Iio.2 hb),
have B : t₁ ∩ Iic a ⊆ s,
from subset.trans (inter_subset_inter_right _ (A ht₂)) hts,
from this.imp (λ l', Exists.imp $ λ hl' hl x hx, B ⟨hl hx.1, hx.2⟩) },
clear hts ht₂ t₂,
-- Now we find `l` such that `(l', ∞) ⊆ t₁`
letI := classical.DLO α,
rw [mem_binfi, mem_bUnion_iff] at ht₁,
{ rcases ht₁ with ⟨b, hb, hb'⟩,
exact ⟨max b l, ⟨le_max_right _ _, max_lt hb hl⟩,
λ x hx, hb' $ Ioi_subset_Ioi (le_max_left _ _) hx⟩ },
{ intros b hb b' hb', simp only [mem_Iio] at hb hb',
use [max b b', max_lt hb hb'],
simp [le_refl] },
exact ⟨l, hl⟩
end
lemma exists_Ico_subset_of_mem_nhds' {a : α} {s : set α} (hs : s ∈ 𝓝 a) {u : α} (hu : a < u) :
∃ u' ∈ Ioc a u, Ico a u' ⊆ s :=
begin
convert @exists_Ioc_subset_of_mem_nhds' (order_dual α) _ _ _ _ _ hs _ hu,
ext, rw [dual_Ico, dual_Ioc]
end
lemma exists_Ioc_subset_of_mem_nhds {a : α} {s : set α} (hs : s ∈ 𝓝 a) (h : ∃ l, l < a) :
∃ l < a, Ioc l a ⊆ s :=
let ⟨l', hl'⟩ := h in let ⟨l, hl⟩ := exists_Ioc_subset_of_mem_nhds' hs hl' in ⟨l, hl.fst.2, hl.snd⟩
lemma exists_Ico_subset_of_mem_nhds {a : α} {s : set α} (hs : s ∈ 𝓝 a) (h : ∃ u, a < u) :
∃ u (_ : a < u), Ico a u ⊆ s :=
let ⟨l', hl'⟩ := h in let ⟨l, hl⟩ := exists_Ico_subset_of_mem_nhds' hs hl' in ⟨l, hl.fst.1, hl.snd⟩
lemma mem_nhds_unbounded {a : α} {s : set α} (hu : ∃u, a < u) (hl : ∃l, l < a) :
s ∈ 𝓝 a ↔ (∃l u, l < a ∧ a < u ∧ ∀b, l < b → b < u → b ∈ s) :=
let ⟨l, hl'⟩ := hl, ⟨u, hu'⟩ := hu in
have 𝓝 a = (⨅p : {l // l < a} × {u // a < u}, principal (Ioo p.1.val p.2.val)),
by simp [nhds_orderable_unbounded hu hl, infi_subtype, infi_prod],
iff.intro
(assume hs, by rw [this] at hs; from infi_sets_induct hs
⟨l, u, hl', hu', by simp⟩
begin
intro p, rcases p with ⟨⟨l, hl⟩, ⟨u, hu⟩⟩,
simp [set.subset_def],
intros s₁ s₂ hs₁ l' hl' u' hu' hs₂,
letI := classical.DLO α,
refine ⟨max l l', _, min u u', _⟩;
simp [*, lt_min_iff, max_lt_iff] {contextual := tt}
end
(assume s₁ s₂ h ⟨l, u, h₁, h₂, h₃⟩, ⟨l, u, h₁, h₂, assume b hu hl, h $ h₃ _ hu hl⟩))
(assume ⟨l, u, hl, hu, h⟩,
by rw [this]; exact mem_infi_sets ⟨⟨l, hl⟩, ⟨u, hu⟩⟩ (assume b ⟨h₁, h₂⟩, h b h₁ h₂))
lemma order_separated {a₁ a₂ : α} (h : a₁ < a₂) :
∃u v : set α, is_open u ∧ is_open v ∧ a₁ ∈ u ∧ a₂ ∈ v ∧ (∀b₁∈u, ∀b₂∈v, b₁ < b₂) :=
match dense_or_discrete a₁ a₂ with
| or.inl ⟨a, ha₁, ha₂⟩ := ⟨{a' | a' < a}, {a' | a < a'}, is_open_gt' a, is_open_lt' a, ha₁, ha₂,
assume b₁ h₁ b₂ h₂, lt_trans h₁ h₂⟩
| or.inr ⟨h₁, h₂⟩ := ⟨{a | a < a₂}, {a | a₁ < a}, is_open_gt' a₂, is_open_lt' a₁, h, h,
assume b₁ hb₁ b₂ hb₂,
calc b₁ ≤ a₁ : h₂ _ hb₁
... < a₂ : h
... ≤ b₂ : h₁ _ hb₂⟩
end
@[priority 100] -- see Note [lower instance priority]
instance orderable_topology.to_ordered_topology : ordered_topology α :=
{ is_closed_le' :=
is_open_prod_iff.mpr $ assume a₁ a₂ (h : ¬ a₁ ≤ a₂),
have h : a₂ < a₁, from lt_of_not_ge h,
let ⟨u, v, hu, hv, ha₁, ha₂, h⟩ := order_separated h in
⟨v, u, hv, hu, ha₂, ha₁, assume ⟨b₁, b₂⟩ ⟨h₁, h₂⟩, not_le_of_gt $ h b₂ h₂ b₁ h₁⟩ }
lemma orderable_topology.t2_space : t2_space α := by apply_instance
@[priority 100] -- see Note [lower instance priority]
instance orderable_topology.regular_space : regular_space α :=
{ regular := assume s a hs ha,
have hs' : -s ∈ 𝓝 a, from mem_nhds_sets hs ha,
have ∃t:set α, is_open t ∧ (∀l∈ s, l < a → l ∈ t) ∧ 𝓝 a ⊓ principal t = ⊥,
from by_cases
(assume h : ∃l, l < a,
let ⟨l, hl, h⟩ := exists_Ioc_subset_of_mem_nhds hs' h in
match dense_or_discrete l a with
| or.inl ⟨b, hb₁, hb₂⟩ := ⟨{a | a < b}, is_open_gt' _,
assume c hcs hca, show c < b,
from lt_of_not_ge $ assume hbc, h ⟨lt_of_lt_of_le hb₁ hbc, le_of_lt hca⟩ hcs,
inf_principal_eq_bot $ (𝓝 a).sets_of_superset (mem_nhds_sets (is_open_lt' _) hb₂) $
assume x (hx : b < x), show ¬ x < b, from not_lt.2 $ le_of_lt hx⟩
| or.inr ⟨h₁, h₂⟩ := ⟨{a' | a' < a}, is_open_gt' _, assume b hbs hba, hba,
inf_principal_eq_bot $ (𝓝 a).sets_of_superset (mem_nhds_sets (is_open_lt' _) hl) $
assume x (hx : l < x), show ¬ x < a, from not_lt.2 $ h₁ _ hx⟩
end)
(assume : ¬ ∃l, l < a, ⟨∅, is_open_empty, assume l _ hl, (this ⟨l, hl⟩).elim,
by rw [principal_empty, inf_bot_eq]⟩),
let ⟨t₁, ht₁o, ht₁s, ht₁a⟩ := this in
have ∃t:set α, is_open t ∧ (∀u∈ s, u>a → u ∈ t) ∧ 𝓝 a ⊓ principal t = ⊥,
from by_cases
(assume h : ∃u, u > a,
let ⟨u, hu, h⟩ := exists_Ico_subset_of_mem_nhds hs' h in
match dense_or_discrete a u with
| or.inl ⟨b, hb₁, hb₂⟩ := ⟨{a | b < a}, is_open_lt' _,
assume c hcs hca, show c > b,
from lt_of_not_ge $ assume hbc, h ⟨le_of_lt hca, lt_of_le_of_lt hbc hb₂⟩ hcs,
inf_principal_eq_bot $ (𝓝 a).sets_of_superset (mem_nhds_sets (is_open_gt' _) hb₁) $
assume x (hx : b > x), show ¬ x > b, from not_lt.2 $ le_of_lt hx⟩
| or.inr ⟨h₁, h₂⟩ := ⟨{a' | a' > a}, is_open_lt' _, assume b hbs hba, hba,
inf_principal_eq_bot $ (𝓝 a).sets_of_superset (mem_nhds_sets (is_open_gt' _) hu) $
assume x (hx : u > x), show ¬ x > a, from not_lt.2 $ h₂ _ hx⟩
end)
(assume : ¬ ∃u, u > a, ⟨∅, is_open_empty, assume l _ hl, (this ⟨l, hl⟩).elim,
by rw [principal_empty, inf_bot_eq]⟩),
let ⟨t₂, ht₂o, ht₂s, ht₂a⟩ := this in
⟨t₁ ∪ t₂, is_open_union ht₁o ht₂o,
assume x hx,
have x ≠ a, from assume eq, ha $ eq ▸ hx,
(ne_iff_lt_or_gt.mp this).imp (ht₁s _ hx) (ht₂s _ hx),
by rw [←sup_principal, inf_sup_left, ht₁a, ht₂a, bot_sup_eq]⟩,
..orderable_topology.t2_space }
/-- A set is a neighborhood of `a` if and only if it contains an interval `(l, u)` containing `a`,
provided `a` is neither a bottom element nor a top element. -/
lemma mem_nhds_iff_exists_Ioo_subset' {a l' u' : α} {s : set α}
(hl' : l' < a) (hu' : a < u') :
s ∈ 𝓝 a ↔ ∃l u, a ∈ Ioo l u ∧ Ioo l u ⊆ s :=
begin
split,
{ assume h,
rcases exists_Ico_subset_of_mem_nhds' h hu' with ⟨u, au, hu⟩,
rcases exists_Ioc_subset_of_mem_nhds' h hl' with ⟨l, la, hl⟩,
refine ⟨l, u, ⟨la.2, au.1⟩, λx hx, _⟩,
cases le_total a x with hax hax,
{ exact hu ⟨hax, hx.2⟩ },
{ exact hl ⟨hx.1, hax⟩ } },
{ rintros ⟨l, u, ha, h⟩,
apply mem_sets_of_superset (mem_nhds_sets is_open_Ioo ha) h }
end
/-- A set is a neighborhood of `a` if and only if it contains an interval `(l, u)` containing `a`. -/
lemma mem_nhds_iff_exists_Ioo_subset [no_top_order α] [no_bot_order α] {a : α} {s : set α} :
s ∈ 𝓝 a ↔ ∃l u, a ∈ Ioo l u ∧ Ioo l u ⊆ s :=
let ⟨l', hl'⟩ := no_bot a in let ⟨u', hu'⟩ := no_top a in mem_nhds_iff_exists_Ioo_subset' hl' hu'
/-!
### Neighborhoods to the left and to the right
Limits to the left and to the right of real functions are defined in terms of neighborhoods to
the left and to the right, either open or closed, i.e., members of `nhds_within a (Ioi a)` and
`nhds_wihin a (Ici a)` on the right, and similarly on the left. Such neighborhoods can be
characterized as the sets containing suitable intervals to the right or to the left of `a`.
We give now these characterizations. -/
-- NB: If you extend the list, append to the end please to avoid breaking the API
/-- The following statements are equivalent:
0. `s` is a neighborhood of `a` within `(a, +∞)`
1. `s` is a neighborhood of `a` within `(a, b]`
2. `s` is a neighborhood of `a` within `(a, b)`
3. `s` includes `(a, u)` for some `u ∈ (a, b]`
4. `s` includes `(a, u)` for some `u > a` -/
lemma tfae_mem_nhds_within_Ioi {a b : α} (hab : a < b) (s : set α) :
tfae [s ∈ nhds_within a (Ioi a), -- 0 : `s` is a neighborhood of `a` within `(a, +∞)`
s ∈ nhds_within a (Ioc a b), -- 1 : `s` is a neighborhood of `a` within `(a, b]`
s ∈ nhds_within a (Ioo a b), -- 2 : `s` is a neighborhood of `a` within `(a, b)`
∃ u ∈ Ioc a b, Ioo a u ⊆ s, -- 3 : `s` includes `(a, u)` for some `u ∈ (a, b]`
∃ u ∈ Ioi a, Ioo a u ⊆ s] := -- 4 : `s` includes `(a, u)` for some `u > a`
begin
tfae_have : 1 → 2, from λ h, nhds_within_mono _ Ioc_subset_Ioi_self h,
tfae_have : 2 → 3, from λ h, nhds_within_mono _ Ioo_subset_Ioc_self h,
tfae_have : 4 → 5, from λ ⟨u, umem, hu⟩, ⟨u, umem.1, hu⟩,
tfae_have : 5 → 1,
{ rintros ⟨u, hau, hu⟩,
exact mem_nhds_within.2 ⟨Iio u, is_open_Iio, hau, by rwa [inter_comm, Ioi_inter_Iio]⟩ },
tfae_have : 3 → 4,
{ assume h,
rcases mem_nhds_within_iff_exists_mem_nhds_inter.1 h with ⟨v, va, hv⟩,
rcases exists_Ico_subset_of_mem_nhds' va hab with ⟨u, au, hu⟩,
refine ⟨u, au, λx hx, _⟩,
refine hv ⟨hu ⟨le_of_lt hx.1, hx.2⟩, _⟩,
exact Ioo_subset_Ioo_right au.2 hx },
tfae_finish
end
@[simp] lemma nhds_within_Ioc_eq_nhds_within_Ioi {a b : α} (h : a < b) :
nhds_within a (Ioc a b) = nhds_within a (Ioi a) :=
filter.ext $ λ s, (tfae_mem_nhds_within_Ioi h s).out 1 0
@[simp] lemma nhds_within_Ioo_eq_nhds_within_Ioi {a b : α} (hu : a < b) :
nhds_within a (Ioo a b) = nhds_within a (Ioi a) :=
filter.ext $ λ s, (tfae_mem_nhds_within_Ioi hu s).out 2 0
/-- A set is a neighborhood of `a` within `(a, +∞)` if and only if it contains an interval `(a, u)`
with `a < u < u'`, provided `a` is not a top element. -/
lemma mem_nhds_within_Ioi_iff_exists_Ioo_subset' {a u' : α} {s : set α} (hu' : a < u') :
s ∈ nhds_within a (Ioi a) ↔ ∃u ∈ Ioi a, Ioo a u ⊆ s :=
(tfae_mem_nhds_within_Ioi hu' s).out 0 4
/-- A set is a neighborhood of `a` within `(a, +∞)` if and only if it contains an interval `(a, u)`
with `a < u`. -/
lemma mem_nhds_within_Ioi_iff_exists_Ioo_subset [no_top_order α] {a : α} {s : set α} :
s ∈ nhds_within a (Ioi a) ↔ ∃u ∈ Ioi a, Ioo a u ⊆ s :=
let ⟨u', hu'⟩ := no_top a in mem_nhds_within_Ioi_iff_exists_Ioo_subset' hu'
/-- A set is a neighborhood of `a` within `(a, +∞)` if and only if it contains an interval `(a, u]`
with `a < u`. -/
lemma mem_nhds_within_Ioi_iff_exists_Ioc_subset [no_top_order α] [densely_ordered α]
{a : α} {s : set α} : s ∈ nhds_within a (Ioi a) ↔ ∃u ∈ Ioi a, Ioc a u ⊆ s :=
begin
rw mem_nhds_within_Ioi_iff_exists_Ioo_subset,
split,
{ rintros ⟨u, au, as⟩,
rcases dense au with ⟨v, hv⟩,
exact ⟨v, hv.1, λx hx, as ⟨hx.1, lt_of_le_of_lt hx.2 hv.2⟩⟩ },
{ rintros ⟨u, au, as⟩,
exact ⟨u, au, subset.trans Ioo_subset_Ioc_self as⟩ }
end
/-- The following statements are equivalent:
0. `s` is a neighborhood of `b` within `(-∞, b)`
1. `s` is a neighborhood of `b` within `[a, b)`
2. `s` is a neighborhood of `b` within `(a, b)`
3. `s` includes `(l, b)` for some `l ∈ [a, b)`
4. `s` includes `(l, b)` for some `l < b` -/
lemma tfae_mem_nhds_within_Iio {a b : α} (h : a < b) (s : set α) :
tfae [s ∈ nhds_within b (Iio b), -- 0 : `s` is a neighborhood of `b` within `(-∞, b)`
s ∈ nhds_within b (Ico a b), -- 1 : `s` is a neighborhood of `b` within `[a, b)`
s ∈ nhds_within b (Ioo a b), -- 2 : `s` is a neighborhood of `b` within `(a, b)`
∃ l ∈ Ico a b, Ioo l b ⊆ s, -- 3 : `s` includes `(l, b)` for some `l ∈ [a, b)`
∃ l ∈ Iio b, Ioo l b ⊆ s] := -- 4 : `s` includes `(l, b)` for some `l < b`
begin
have := @tfae_mem_nhds_within_Ioi (order_dual α) _ _ _ _ _ h s,
-- If we call `convert` here, it generates wrong equations, so we need to simplify first
simp only [exists_prop] at this ⊢,
rw [dual_Ioi, dual_Ioc, dual_Ioo] at this,
convert this; ext l; rw [dual_Ioo]
end
@[simp] lemma nhds_within_Ico_eq_nhds_within_Iio {a b : α} (h : a < b) :
nhds_within b (Ico a b) = nhds_within b (Iio b) :=
filter.ext $ λ s, (tfae_mem_nhds_within_Iio h s).out 1 0
@[simp] lemma nhds_within_Ioo_eq_nhds_within_Iio {a b : α} (h : a < b) :
nhds_within b (Ioo a b) = nhds_within b (Iio b) :=
filter.ext $ λ s, (tfae_mem_nhds_within_Iio h s).out 2 0
/-- A set is a neighborhood of `a` within `(-∞, a)` if and only if it contains an interval `(l, a)`
with `l < a`, provided `a` is not a bottom element. -/
lemma mem_nhds_within_Iio_iff_exists_Ioo_subset' {a l' : α} {s : set α} (hl' : l' < a) :
s ∈ nhds_within a (Iio a) ↔ ∃l ∈ Iio a, Ioo l a ⊆ s :=
(tfae_mem_nhds_within_Iio hl' s).out 0 4
/-- A set is a neighborhood of `a` within `(-∞, a)` if and only if it contains an interval `(l, a)`
with `l < a`. -/
lemma mem_nhds_within_Iio_iff_exists_Ioo_subset [no_bot_order α] {a : α} {s : set α} :
s ∈ nhds_within a (Iio a) ↔ ∃l ∈ Iio a, Ioo l a ⊆ s :=
let ⟨l', hl'⟩ := no_bot a in mem_nhds_within_Iio_iff_exists_Ioo_subset' hl'
/-- A set is a neighborhood of `a` within `(-∞, a)` if and only if it contains an interval `[l, a)`
with `l < a`. -/
lemma mem_nhds_within_Iio_iff_exists_Ico_subset [no_bot_order α] [densely_ordered α]
{a : α} {s : set α} : s ∈ nhds_within a (Iio a) ↔ ∃l ∈ Iio a, Ico l a ⊆ s :=
begin
convert @mem_nhds_within_Ioi_iff_exists_Ioc_subset (order_dual α) _ _ _ _ _ _ _,
simp only [dual_Ioc], refl
end
/-- A set is a neighborhood of `a` within `[a, +∞)` if and only if it contains an interval `[a, u)`
with `a < u`, provided `a` is not a top element. -/
lemma mem_nhds_within_Ici_iff_exists_Ico_subset' {a u' : α} {s : set α} (hu' : a < u') :
s ∈ nhds_within a (Ici a) ↔ ∃u, a < u ∧ Ico a u ⊆ s :=
begin
split,
{ assume h,
rcases mem_nhds_within_iff_exists_mem_nhds_inter.1 h with ⟨v, va, hv⟩,
rcases exists_Ico_subset_of_mem_nhds va ⟨u', hu'⟩ with ⟨u, au, hu⟩,
refine ⟨u, au, λx hx, _⟩,
refine hv ⟨_, hx.1⟩,
exact hu hx },
{ rintros ⟨u, au, hu⟩,
rw mem_nhds_within_iff_exists_mem_nhds_inter,
refine ⟨Iio u, mem_nhds_sets is_open_Iio au, _⟩,
rwa [inter_comm, Ici_inter_Iio] }
end
/-- A set is a neighborhood of `a` within `[a, +∞)` if and only if it contains an interval `[a, u)`
with `a < u`. -/
lemma mem_nhds_within_Ici_iff_exists_Ico_subset [no_top_order α] {a : α} {s : set α} :
s ∈ nhds_within a (Ici a) ↔ ∃u, a < u ∧ Ico a u ⊆ s :=
let ⟨u', hu'⟩ := no_top a in mem_nhds_within_Ici_iff_exists_Ico_subset' hu'
/-- A set is a neighborhood of `a` within `[a, +∞)` if and only if it contains an interval `[a, u]`
with `a < u`. -/
lemma mem_nhds_within_Ici_iff_exists_Icc_subset [no_top_order α] [densely_ordered α]
{a : α} {s : set α} : s ∈ nhds_within a (Ici a) ↔ ∃u, a < u ∧ Icc a u ⊆ s :=
begin
rw mem_nhds_within_Ici_iff_exists_Ico_subset,
split,
{ rintros ⟨u, au, as⟩,
rcases dense au with ⟨v, hv⟩,
exact ⟨v, hv.1, λx hx, as ⟨hx.1, lt_of_le_of_lt hx.2 hv.2⟩⟩ },
{ rintros ⟨u, au, as⟩,
exact ⟨u, au, subset.trans Ico_subset_Icc_self as⟩ }
end
/-- A set is a neighborhood of `a` within `(-∞, a]` if and only if it contains an interval `(l, a]`
with `l < a`, provided `a` is not a bottom element. -/
lemma mem_nhds_within_Iic_iff_exists_Ioc_subset' {a l' : α} {s : set α} (hl' : l' < a) :
s ∈ nhds_within a (Iic a) ↔ ∃l, l < a ∧ Ioc l a ⊆ s :=
begin
split,
{ assume h,
rcases mem_nhds_within_iff_exists_mem_nhds_inter.1 h with ⟨v, va, hv⟩,
rcases exists_Ioc_subset_of_mem_nhds va ⟨l', hl'⟩ with ⟨l, la, hl⟩,
refine ⟨l, la, λx hx, _⟩,
refine hv ⟨_, hx.2⟩,
exact hl hx },
{ rintros ⟨l, la, ha⟩,
rw mem_nhds_within_iff_exists_mem_nhds_inter,
refine ⟨Ioi l, mem_nhds_sets is_open_Ioi la, _⟩,
rwa [Ioi_inter_Iic] }
end
/-- A set is a neighborhood of `a` within `(-∞, a]` if and only if it contains an interval `(l, a]`
with `l < a`. -/
lemma mem_nhds_within_Iic_iff_exists_Ioc_subset [no_bot_order α] {a : α} {s : set α} :
s ∈ nhds_within a (Iic a) ↔ ∃l, l < a ∧ Ioc l a ⊆ s :=
let ⟨l', hl'⟩ := no_bot a in mem_nhds_within_Iic_iff_exists_Ioc_subset' hl'
/-- A set is a neighborhood of `a` within `(-∞, a]` if and only if it contains an interval `[l, a]`
with `l < a`. -/
lemma mem_nhds_within_Iic_iff_exists_Icc_subset [no_bot_order α] [densely_ordered α]
{a : α} {s : set α} : s ∈ nhds_within a (Iic a) ↔ ∃l, l < a ∧ Icc l a ⊆ s :=
begin
rw mem_nhds_within_Iic_iff_exists_Ioc_subset,
split,
{ rintros ⟨l, la, as⟩,
rcases dense la with ⟨v, hv⟩,
refine ⟨v, hv.2, λx hx, as ⟨lt_of_lt_of_le hv.1 hx.1, hx.2⟩⟩, },
{ rintros ⟨l, la, as⟩,
exact ⟨l, la, subset.trans Ioc_subset_Icc_self as⟩ }
end
end linear_order
lemma preimage_neg [add_group α] : preimage (has_neg.neg : α → α) = image (has_neg.neg : α → α) :=
(image_eq_preimage_of_inverse neg_neg neg_neg).symm
lemma filter.map_neg [add_group α] : map (has_neg.neg : α → α) = comap (has_neg.neg : α → α) :=
funext $ assume f, map_eq_comap_of_inverse (funext neg_neg) (funext neg_neg)
section topological_add_group
variables [topological_space α] [ordered_comm_group α] [topological_add_group α]
lemma neg_preimage_closure {s : set α} : (λr:α, -r) ⁻¹' closure s = closure ((λr:α, -r) '' s) :=
have (λr:α, -r) ∘ (λr:α, -r) = id, from funext neg_neg,
by rw [preimage_neg]; exact
(subset.antisymm (image_closure_subset_closure_image continuous_neg) $
calc closure ((λ (r : α), -r) '' s) = (λr, -r) '' ((λr, -r) '' closure ((λ (r : α), -r) '' s)) :
by rw [←image_comp, this, image_id]
... ⊆ (λr, -r) '' closure ((λr, -r) '' ((λ (r : α), -r) '' s)) :
mono_image $ image_closure_subset_closure_image continuous_neg
... = _ : by rw [←image_comp, this, image_id])
end topological_add_group
section order_topology
variables [topological_space α] [topological_space β]
[linear_order α] [linear_order β] [orderable_topology α] [orderable_topology β]
lemma nhds_principal_ne_bot_of_is_lub {a : α} {s : set α} (ha : is_lub s a) (hs : s ≠ ∅) :
𝓝 a ⊓ principal s ≠ ⊥ :=
let ⟨a', ha'⟩ := exists_mem_of_ne_empty hs in
forall_sets_neq_empty_iff_neq_bot.mp $ assume t ht,
let ⟨t₁, ht₁, t₂, ht₂, ht⟩ := mem_inf_sets.mp ht in
by_cases
(assume h : a = a',
have a ∈ t₁, from mem_of_nhds ht₁,
have a ∈ t₂, from ht₂ $ by rwa [h],
ne_empty_iff_exists_mem.mpr ⟨a, ht ⟨‹a ∈ t₁›, ‹a ∈ t₂›⟩⟩)
(assume : a ≠ a',
have a' < a, from lt_of_le_of_ne (ha.left ‹a' ∈ s›) this.symm,
let ⟨l, hl, hlt₁⟩ := exists_Ioc_subset_of_mem_nhds ht₁ ⟨a', this⟩ in
have ∃a'∈s, l < a',
from classical.by_contradiction $ assume : ¬ ∃a'∈s, l < a',
have ∀a'∈s, a' ≤ l, from assume a ha, not_lt.1 $ assume ha', this ⟨a, ha, ha'⟩,
have ¬ l < a, from not_lt.2 $ ha.right this,
this ‹l < a›,
let ⟨a', ha', ha'l⟩ := this in
have a' ∈ t₁, from hlt₁ ⟨‹l < a'›, ha.left ha'⟩,
ne_empty_iff_exists_mem.mpr ⟨a', ht ⟨‹a' ∈ t₁›, ht₂ ‹a' ∈ s›⟩⟩)
lemma nhds_principal_ne_bot_of_is_glb : ∀ {a : α} {s : set α}, is_glb s a → s ≠ ∅ →
𝓝 a ⊓ principal s ≠ ⊥ :=
@nhds_principal_ne_bot_of_is_lub (order_dual α) _ _ _
lemma is_lub_of_mem_nhds {s : set α} {a : α} {f : filter α}
(hsa : a ∈ upper_bounds s) (hsf : s ∈ f) (hfa : f ⊓ 𝓝 a ≠ ⊥) : is_lub s a :=
⟨hsa, assume b hb,
not_lt.1 $ assume hba,
have s ∩ {a | b < a} ∈ f ⊓ 𝓝 a,
from inter_mem_inf_sets hsf (mem_nhds_sets (is_open_lt' _) hba),
let ⟨x, ⟨hxs, hxb⟩⟩ := inhabited_of_mem_sets hfa this in
have b < b, from lt_of_lt_of_le hxb $ hb hxs,
lt_irrefl b this⟩
lemma is_glb_of_mem_nhds : ∀ {s : set α} {a : α} {f : filter α},
a ∈ lower_bounds s → s ∈ f → f ⊓ 𝓝 a ≠ ⊥ → is_glb s a :=
@is_lub_of_mem_nhds (order_dual α) _ _ _
lemma is_lub_of_is_lub_of_tendsto {f : α → β} {s : set α} {a : α} {b : β}
(hf : ∀x∈s, ∀y∈s, x ≤ y → f x ≤ f y) (ha : is_lub s a) (hs : s ≠ ∅)
(hb : tendsto f (𝓝 a ⊓ principal s) (𝓝 b)) : is_lub (f '' s) b :=
have hnbot : (𝓝 a ⊓ principal s) ≠ ⊥, from nhds_principal_ne_bot_of_is_lub ha hs,
have ∀a'∈s, ¬ b < f a',
from assume a' ha' h,
have {x | x < f a'} ∈ 𝓝 b, from mem_nhds_sets (is_open_gt' _) h,
let ⟨t₁, ht₁, t₂, ht₂, hs⟩ := mem_inf_sets.mp (hb this) in
by_cases
(assume h : a = a',
have a ∈ t₁ ∩ t₂, from ⟨mem_of_nhds ht₁, ht₂ $ by rwa [h]⟩,
have f a < f a', from hs this,
lt_irrefl (f a') $ by rwa [h] at this)
(assume h : a ≠ a',
have a' < a, from lt_of_le_of_ne (ha.left ha') h.symm,
have {x | a' < x} ∈ 𝓝 a, from mem_nhds_sets (is_open_lt' _) this,
have {x | a' < x} ∩ t₁ ∈ 𝓝 a, from inter_mem_sets this ht₁,
have ({x | a' < x} ∩ t₁) ∩ s ∈ 𝓝 a ⊓ principal s,
from inter_mem_inf_sets this (subset.refl s),
let ⟨x, ⟨hx₁, hx₂⟩, hx₃⟩ := inhabited_of_mem_sets hnbot this in
have hxa' : f x < f a', from hs ⟨hx₂, ht₂ hx₃⟩,
have ha'x : f a' ≤ f x, from hf _ ha' _ hx₃ $ le_of_lt hx₁,
lt_irrefl _ (lt_of_le_of_lt ha'x hxa')),
and.intro
(assume b' ⟨a', ha', h_eq⟩, h_eq ▸ not_lt.1 $ this _ ha')
(assume b' hb', le_of_tendsto hnbot hb $
mem_inf_sets_of_right $ assume x hx, hb' $ mem_image_of_mem _ hx)
lemma is_glb_of_is_glb_of_tendsto {f : α → β} {s : set α} {a : α} {b : β}
(hf : ∀x∈s, ∀y∈s, x ≤ y → f x ≤ f y) : is_glb s a → s ≠ ∅ →
tendsto f (𝓝 a ⊓ principal s) (𝓝 b) → is_glb (f '' s) b :=
@is_lub_of_is_lub_of_tendsto (order_dual α) (order_dual β) _ _ _ _ _ _ f s a b
(λ x hx y hy, hf y hy x hx)
lemma is_glb_of_is_lub_of_tendsto : ∀ {f : α → β} {s : set α} {a : α} {b : β},
(∀x∈s, ∀y∈s, x ≤ y → f y ≤ f x) → is_lub s a → s ≠ ∅ →
tendsto f (𝓝 a ⊓ principal s) (𝓝 b) → is_glb (f '' s) b :=
@is_lub_of_is_lub_of_tendsto α (order_dual β) _ _ _ _ _ _
lemma is_lub_of_is_glb_of_tendsto : ∀ {f : α → β} {s : set α} {a : α} {b : β},
(∀x∈s, ∀y∈s, x ≤ y → f y ≤ f x) → is_glb s a → s ≠ ∅ →
tendsto f (𝓝 a ⊓ principal s) (𝓝 b) → is_lub (f '' s) b :=
@is_glb_of_is_glb_of_tendsto α (order_dual β) _ _ _ _ _ _
lemma mem_closure_of_is_lub {a : α} {s : set α} (ha : is_lub s a) (hs : s ≠ ∅) : a ∈ closure s :=
by rw closure_eq_nhds; exact nhds_principal_ne_bot_of_is_lub ha hs
lemma mem_of_is_lub_of_is_closed {a : α} {s : set α} (ha : is_lub s a) (hs : s ≠ ∅) (sc : is_closed s) : a ∈ s :=
by rw ←closure_eq_of_is_closed sc; exact mem_closure_of_is_lub ha hs
lemma mem_closure_of_is_glb {a : α} {s : set α} (ha : is_glb s a) (hs : s ≠ ∅) : a ∈ closure s :=
by rw closure_eq_nhds; exact nhds_principal_ne_bot_of_is_glb ha hs
lemma mem_of_is_glb_of_is_closed {a : α} {s : set α} (ha : is_glb s a) (hs : s ≠ ∅) (sc : is_closed s) : a ∈ s :=
by rw ←closure_eq_of_is_closed sc; exact mem_closure_of_is_glb ha hs
/-- A compact set is bounded below -/
lemma bdd_below_of_compact {α : Type u} [topological_space α] [linear_order α]
[ordered_topology α] [nonempty α] {s : set α} (hs : compact s) : bdd_below s :=
begin
by_contra H,
letI := classical.DLO α,
rcases hs.elim_finite_subcover_image (λ x (_ : x ∈ s), @is_open_Ioi _ _ _ _ x) _
with ⟨t, st, ft, ht⟩,
{ refine H ((bdd_below_finite ft).imp $ λ C hC y hy, _),
rcases mem_bUnion_iff.1 (ht hy) with ⟨x, hx, xy⟩,
exact le_trans (hC hx) (le_of_lt xy) },
{ refine λ x hx, mem_bUnion_iff.2 (not_imp_comm.1 _ H),
exact λ h, ⟨x, λ y hy, le_of_not_lt (h.imp $ λ ys, ⟨_, hy, ys⟩)⟩ }
end
/-- A compact set is bounded above -/
lemma bdd_above_of_compact {α : Type u} [topological_space α] [linear_order α]
[orderable_topology α] : Π [nonempty α] {s : set α}, compact s → bdd_above s :=
@bdd_below_of_compact (order_dual α) _ _ _
end order_topology
section decidable_linear_order
variables [topological_space α] [decidable_linear_order α] [orderable_topology α] [densely_ordered α]
/-- The closure of the interval `(a, +∞)` is the closed interval `[a, +∞)`, unless `a` is a top
element. -/
lemma closure_Ioi' {a b : α} (hab : a < b) :
closure (Ioi a) = Ici a :=
begin
apply subset.antisymm,
{ rw ← closure_eq_iff_is_closed.2 is_closed_Ici,
exact closure_mono Ioi_subset_Ici_self,
apply_instance },
{ assume x hx,
by_cases h : x = a,
{ rw h, exact mem_closure_of_is_glb is_glb_Ioi (ne_empty_of_mem hab) },
{ exact subset_closure (lt_of_le_of_ne hx (ne.symm h)) } }
end
/-- The closure of the interval `(a, +∞)` is the closed interval `[a, +∞)`. -/
lemma closure_Ioi (a : α) [no_top_order α] :
closure (Ioi a) = Ici a :=
let ⟨b, hb⟩ := no_top a in closure_Ioi' hb
/-- The closure of the interval `(-∞, a)` is the closed interval `(-∞, a]`, unless `a` is a bottom
element. -/
lemma closure_Iio' {a b : α} (hab : b < a) :
closure (Iio a) = Iic a :=
begin
apply subset.antisymm,
{ rw ← closure_eq_iff_is_closed.2 is_closed_Iic,
exact closure_mono Iio_subset_Iic_self,
apply_instance },
{ assume x hx,
by_cases h : x = a,
{ rw h, exact mem_closure_of_is_lub is_lub_Iio (ne_empty_of_mem hab) },
{ apply subset_closure, by simpa [h] using lt_or_eq_of_le hx } }
end
/-- The closure of the interval `(-∞, a)` is the interval `(-∞, a]`. -/
lemma closure_Iio (a : α) [no_bot_order α] :
closure (Iio a) = Iic a :=
let ⟨b, hb⟩ := no_bot a in closure_Iio' hb
/-- The closure of the open interval `(a, b)` is the closed interval `[a, b]`. -/
lemma closure_Ioo {a b : α} (hab : a < b) :
closure (Ioo a b) = Icc a b :=
begin
apply subset.antisymm,
{ rw ← closure_eq_iff_is_closed.2 is_closed_Icc,
exact closure_mono Ioo_subset_Icc_self,
apply_instance },
{ have ne_empty : Ioo a b ≠ ∅, by simpa [Ioo_eq_empty_iff],
assume x hx,
by_cases h : x = a,
{ rw h, exact mem_closure_of_is_glb (is_glb_Ioo hab) ne_empty },
by_cases h' : x = b,
{ rw h', refine mem_closure_of_is_lub (is_lub_Ioo hab) ne_empty },
exact subset_closure ⟨lt_of_le_of_ne hx.1 (ne.symm h), by simpa [h'] using lt_or_eq_of_le hx.2⟩ }
end
/-- The closure of the interval `(a, b]` is the closed interval `[a, b]`. -/
lemma closure_Ioc {a b : α} (hab : a < b) :
closure (Ioc a b) = Icc a b :=
begin
apply subset.antisymm,
{ rw ← closure_eq_iff_is_closed.2 is_closed_Icc,
exact closure_mono Ioc_subset_Icc_self,
apply_instance },
{ apply subset.trans _ (closure_mono Ioo_subset_Ioc_self),
rw closure_Ioo hab }
end
/-- The closure of the interval `[a, b)` is the closed interval `[a, b]`. -/
lemma closure_Ico {a b : α} (hab : a < b) :
closure (Ico a b) = Icc a b :=
begin
apply subset.antisymm,
{ rw ← closure_eq_iff_is_closed.2 is_closed_Icc,
exact closure_mono Ico_subset_Icc_self,
apply_instance },
{ apply subset.trans _ (closure_mono Ioo_subset_Ico_self),
rw closure_Ioo hab }
end
end decidable_linear_order
section complete_linear_order
variables [complete_linear_order α] [topological_space α] [orderable_topology α]
[complete_linear_order β] [topological_space β] [orderable_topology β] [nonempty γ]
lemma Sup_mem_closure {α : Type u} [topological_space α] [complete_linear_order α] [orderable_topology α]
{s : set α} (hs : s ≠ ∅) : Sup s ∈ closure s :=
mem_closure_of_is_lub is_lub_Sup hs
lemma Inf_mem_closure {α : Type u} [topological_space α] [complete_linear_order α] [orderable_topology α]
{s : set α} (hs : s ≠ ∅) : Inf s ∈ closure s :=
mem_closure_of_is_glb is_glb_Inf hs
lemma Sup_mem_of_is_closed {α : Type u} [topological_space α] [complete_linear_order α] [orderable_topology α]
{s : set α} (hs : s ≠ ∅) (hc : is_closed s) : Sup s ∈ s :=
mem_of_is_lub_of_is_closed is_lub_Sup hs hc
lemma Inf_mem_of_is_closed {α : Type u} [topological_space α] [complete_linear_order α] [orderable_topology α]
{s : set α} (hs : s ≠ ∅) (hc : is_closed s) : Inf s ∈ s :=
mem_of_is_glb_of_is_closed is_glb_Inf hs hc
/-- A continuous monotone function sends supremum to supremum for nonempty sets. -/
lemma Sup_of_continuous' {f : α → β} (Mf : continuous f) (Cf : monotone f)
{s : set α} (hs : s ≠ ∅) : f (Sup s) = Sup (f '' s) :=
--This is a particular case of the more general is_lub_of_is_lub_of_tendsto
(is_lub_iff_Sup_eq.1
(is_lub_of_is_lub_of_tendsto (λ x hx y hy xy, Cf xy) is_lub_Sup hs $
tendsto_le_left inf_le_left (Mf.tendsto _))).symm
/-- A continuous monotone function sending bot to bot sends supremum to supremum. -/
lemma Sup_of_continuous {f : α → β} (Mf : continuous f) (Cf : monotone f)
(fbot : f ⊥ = ⊥) {s : set α} : f (Sup s) = Sup (f '' s) :=
begin
by_cases (s = ∅),
{ simpa [h] },
{ exact Sup_of_continuous' Mf Cf h }
end
/-- A continuous monotone function sends indexed supremum to indexed supremum. -/
lemma supr_of_continuous {f : α → β} {g : γ → α}
(Mf : continuous f) (Cf : monotone f) : f (supr g) = supr (f ∘ g) :=
by rw [supr, Sup_of_continuous' Mf Cf
(λ h, range_eq_empty.1 h ‹_›), ← range_comp]; refl
/-- A continuous monotone function sends infimum to infimum for nonempty sets. -/
lemma Inf_of_continuous' {f : α → β} (Mf : continuous f) (Cf : monotone f)
{s : set α} (hs : s ≠ ∅) : f (Inf s) = Inf (f '' s) :=
(is_glb_iff_Inf_eq.1
(is_glb_of_is_glb_of_tendsto (λ x hx y hy xy, Cf xy) is_glb_Inf hs $
tendsto_le_left inf_le_left (Mf.tendsto _))).symm
/-- A continuous monotone function sending top to top sends infimum to infimum. -/
lemma Inf_of_continuous {f : α → β} (Mf : continuous f) (Cf : monotone f)
(ftop : f ⊤ = ⊤) {s : set α} : f (Inf s) = Inf (f '' s) :=
begin
by_cases (s = ∅),
{ simpa [h] },
{ exact Inf_of_continuous' Mf Cf h }
end
/-- A continuous monotone function sends indexed infimum to indexed infimum. -/
lemma infi_of_continuous {f : α → β} {g : γ → α}
(Mf : continuous f) (Cf : monotone f) : f (infi g) = infi (f ∘ g) :=
by rw [infi, Inf_of_continuous' Mf Cf
(λ h, range_eq_empty.1 h ‹_›), ← range_comp]; refl
end complete_linear_order
section conditionally_complete_linear_order
variables [conditionally_complete_linear_order α] [topological_space α] [orderable_topology α]
[conditionally_complete_linear_order β] [topological_space β] [orderable_topology β] [nonempty γ]
lemma cSup_mem_closure {α : Type u} [topological_space α] [conditionally_complete_linear_order α] [orderable_topology α]
{s : set α} (hs : s ≠ ∅) (B : bdd_above s) : Sup s ∈ closure s :=
mem_closure_of_is_lub (is_lub_cSup hs B) hs
lemma cInf_mem_closure {α : Type u} [topological_space α] [conditionally_complete_linear_order α] [orderable_topology α]
{s : set α} (hs : s ≠ ∅) (B : bdd_below s) : Inf s ∈ closure s :=
mem_closure_of_is_glb (is_glb_cInf hs B) hs
lemma cSup_mem_of_is_closed {α : Type u} [topological_space α] [conditionally_complete_linear_order α] [orderable_topology α]
{s : set α} (hs : s ≠ ∅) (hc : is_closed s) (B : bdd_above s) : Sup s ∈ s :=
mem_of_is_lub_of_is_closed (is_lub_cSup hs B) hs hc
lemma cInf_mem_of_is_closed {α : Type u} [topological_space α] [conditionally_complete_linear_order α] [orderable_topology α]
{s : set α} (hs : s ≠ ∅) (hc : is_closed s) (B : bdd_below s) : Inf s ∈ s :=
mem_of_is_glb_of_is_closed (is_glb_cInf hs B) hs hc
/-- A continuous monotone function sends supremum to supremum in conditionally complete
lattices, under a boundedness assumption. -/
lemma cSup_of_cSup_of_monotone_of_continuous {f : α → β} (Mf : continuous f) (Cf : monotone f)
{s : set α} (ne : s ≠ ∅) (H : bdd_above s) : f (Sup s) = Sup (f '' s) :=
begin
refine (is_lub_iff_eq_of_is_lub _).1
(is_lub_cSup (mt image_eq_empty.1 ne) (bdd_above_of_bdd_above_of_monotone Cf H)),
refine is_lub_of_is_lub_of_tendsto (λx hx y hy xy, Cf xy) (is_lub_cSup ne H) ne _,
exact tendsto_le_left inf_le_left (Mf.tendsto _)
end
/-- A continuous monotone function sends indexed supremum to indexed supremum in conditionally complete
lattices, under a boundedness assumption. -/
lemma csupr_of_csupr_of_monotone_of_continuous {f : α → β} {g : γ → α}
(Mf : continuous f) (Cf : monotone f) (H : bdd_above (range g)) : f (supr g) = supr (f ∘ g) :=
by rw [supr, cSup_of_cSup_of_monotone_of_continuous Mf Cf
(λ h, range_eq_empty.1 h ‹_›) H, ← range_comp]; refl
/-- A continuous monotone function sends infimum to infimum in conditionally complete
lattices, under a boundedness assumption. -/
lemma cInf_of_cInf_of_monotone_of_continuous {f : α → β} (Mf : continuous f) (Cf : monotone f)
{s : set α} (ne : s ≠ ∅) (H : bdd_below s) : f (Inf s) = Inf (f '' s) :=
begin
refine (is_glb_iff_eq_of_is_glb _).1
(is_glb_cInf (mt image_eq_empty.1 ne) (bdd_below_of_bdd_below_of_monotone Cf H)),
refine is_glb_of_is_glb_of_tendsto (λx hx y hy xy, Cf xy) (is_glb_cInf ne H) ne _,
exact tendsto_le_left inf_le_left (Mf.tendsto _)
end
/-- A continuous monotone function sends indexed infimum to indexed infimum in conditionally complete
lattices, under a boundedness assumption. -/
lemma cinfi_of_cinfi_of_monotone_of_continuous {f : α → β} {g : γ → α}
(Mf : continuous f) (Cf : monotone f) (H : bdd_below (range g)) : f (infi g) = infi (f ∘ g) :=
by rw [infi, cInf_of_cInf_of_monotone_of_continuous Mf Cf
(λ h, range_eq_empty.1 h ‹_›) H, ← range_comp]; refl
section densely_ordered
variables [densely_ordered α] {a b : α}
lemma is_connected_Icc : is_connected (Icc a b) :=
is_connected_closed_iff.2
begin
rintros s t hs ht hab ⟨x, hx⟩ ⟨y, hy⟩,
wlog hxy : x ≤ y := le_total x y using [x y s t, y x t s],
-- `c = Sup (Icc x y ∩ s)` belongs to `Icc a b`, `s`, and `t`.
-- First two statements follow from general properties of `cSup`
let S := Icc x y ∩ s,
have xS : x ∈ S, from ⟨left_mem_Icc.2 hxy, hx.2⟩,
have Sne : S ≠ ∅, from ne_empty_iff_nonempty.2 ⟨x, xS⟩,
have Sbd : bdd_above S, from ⟨y, λ z hz, hz.1.2⟩,
let c := Sup S,
have c_mem : c ∈ S, from cSup_mem_of_is_closed Sne (is_closed_inter is_closed_Icc hs) Sbd,
have xyab : Icc x y ⊆ Icc a b := Icc_subset_Icc hx.1.1 hy.1.2,
have Sab : S ⊆ Icc a b := subset.trans (inter_subset_left _ _) xyab,
refine ⟨c, Sab c_mem, c_mem.2, _⟩,
-- Now we need to prove `c ∈ t`; we deduce it from `Ioc c y ⊆ (s ∪ t) \ s ⊆ t`
cases eq_or_lt_of_le c_mem.1.2 with hcy hcy, { exact hcy.symm ▸ hy.2 },
suffices : Icc c y ⊆ t, from this (left_mem_Icc.2 (le_of_lt hcy)),
rw [← closure_Ioc hcy, closure_subset_iff_subset_of_is_closed ht],
intros z hz,
have z_mem : z ∈ Icc x y, from Icc_subset_Icc_left c_mem.1.1 (Ioc_subset_Icc_self hz),
suffices : z ∈ t \ s, from and.left this,
rw [← union_diff_left],
exact ⟨hab $ xyab z_mem, λ zs, not_lt_of_le (le_cSup Sbd ⟨z_mem, zs⟩) hz.1⟩
end
lemma is_connected_iff_forall_Icc_subset {s : set α} :
is_connected s ↔ ∀ x y ∈ s, x ≤ y → Icc x y ⊆ s :=
⟨λ h x y hx hy hxy, h.forall_Icc_subset hx hy, λ h, is_connected_of_forall_pair $ λ x y hx hy,
⟨Icc (min x y) (max x y), h (min x y) (max x y)
((min_choice x y).elim (λ h', by rwa h') (λ h', by rwa h'))
((max_choice x y).elim (λ h', by rwa h') (λ h', by rwa h')) min_le_max,
⟨min_le_left x y, le_max_left x y⟩, ⟨min_le_right x y, le_max_right x y⟩, is_connected_Icc⟩⟩
lemma is_connected_Ici : is_connected (Ici a) :=
is_connected_iff_forall_Icc_subset.2 $ λ x y hx hy hxy, (Icc_subset_Ici_iff hxy).2 hx
lemma is_connected_Iic : is_connected (Iic a) :=
is_connected_iff_forall_Icc_subset.2 $ λ x y hx hy hxy, (Icc_subset_Iic_iff hxy).2 hy
lemma is_connected_Iio : is_connected (Iio a) :=
is_connected_iff_forall_Icc_subset.2 $ λ x y hx hy hxy, (Icc_subset_Iio_iff hxy).2 hy
lemma is_connected_Ioi : is_connected (Ioi a) :=
is_connected_iff_forall_Icc_subset.2 $ λ x y hx hy hxy, (Icc_subset_Ioi_iff hxy).2 hx
lemma is_connected_Ioo : is_connected (Ioo a b) :=
is_connected_iff_forall_Icc_subset.2 $ λ x y hx hy hxy, (Icc_subset_Ioo_iff hxy).2 ⟨hx.1, hy.2⟩
lemma is_connected_Ioc : is_connected (Ioc a b) :=
is_connected_iff_forall_Icc_subset.2 $ λ x y hx hy hxy, (Icc_subset_Ioc_iff hxy).2 ⟨hx.1, hy.2⟩
lemma is_connected_Ico : is_connected (Ico a b) :=
is_connected_iff_forall_Icc_subset.2 $ λ x y hx hy hxy, (Icc_subset_Ico_iff hxy).2 ⟨hx.1, hy.2⟩
@[priority 100]
instance ordered_connected_space : connected_space α :=
⟨is_connected_iff_forall_Icc_subset.2 $ λ x y hx hy hxy, subset_univ _⟩
/--Intermediate Value Theorem for continuous functions on closed intervals, case `f a ≤ t ≤ f b`.-/
lemma intermediate_value_Icc {a b : α} (hab : a ≤ b) {f : α → β} (hf : continuous_on f (Icc a b)) :
Icc (f a) (f b) ⊆ f '' (Icc a b) :=
is_connected_Icc.intermediate_value (left_mem_Icc.2 hab) (right_mem_Icc.2 hab) hf
/--Intermediate Value Theorem for continuous functions on closed intervals, case `f a ≥ t ≥ f b`.-/
lemma intermediate_value_Icc' {a b : α} (hab : a ≤ b) {f : α → β} (hf : continuous_on f (Icc a b)) :
Icc (f b) (f a) ⊆ f '' (Icc a b) :=
is_connected_Icc.intermediate_value (right_mem_Icc.2 hab) (left_mem_Icc.2 hab) hf
end densely_ordered
/-- The extreme value theorem: a continuous function realizes its minimum on a compact set -/
lemma compact.exists_forall_le {α : Type u} [topological_space α]
{s : set α} (hs : compact s) (ne_s : s ≠ ∅) {f : α → β} (hf : continuous_on f s) :
∃x∈s, ∀y∈s, f x ≤ f y :=
begin
have C : compact (f '' s) := hs.image_of_continuous_on hf,
haveI := has_Inf_to_nonempty β,
have B : bdd_below (f '' s) := bdd_below_of_compact C,
have : Inf (f '' s) ∈ f '' s :=
cInf_mem_of_is_closed (mt image_eq_empty.1 ne_s) (closed_of_compact _ C) B,
rcases (mem_image _ _ _).1 this with ⟨x, xs, hx⟩,
exact ⟨x, xs, λ y hy, hx.symm ▸ cInf_le B ⟨_, hy, rfl⟩⟩
end
/-- The extreme value theorem: a continuous function realizes its maximum on a compact set -/
lemma compact.exists_forall_ge {α : Type u} [topological_space α]:
∀ {s : set α}, compact s → s ≠ ∅ → ∀ {f : α → β}, continuous_on f s →
∃x∈s, ∀y∈s, f y ≤ f x :=
@compact.exists_forall_le (order_dual β) _ _ _ _ _
end conditionally_complete_linear_order
section liminf_limsup
section ordered_topology
variables [semilattice_sup α] [topological_space α] [orderable_topology α]
lemma is_bounded_le_nhds (a : α) : (𝓝 a).is_bounded (≤) :=
match forall_le_or_exists_lt_sup a with
| or.inl h := ⟨a, show {x : α | x ≤ a} ∈ 𝓝 a, from univ_mem_sets' h⟩
| or.inr ⟨b, hb⟩ := ⟨b, ge_mem_nhds hb⟩
end
lemma is_bounded_under_le_of_tendsto {f : filter β} {u : β → α} {a : α}
(h : tendsto u f (𝓝 a)) : f.is_bounded_under (≤) u :=
is_bounded_of_le h (is_bounded_le_nhds a)
lemma is_cobounded_ge_nhds (a : α) : (𝓝 a).is_cobounded (≥) :=
is_cobounded_of_is_bounded nhds_neq_bot (is_bounded_le_nhds a)
lemma is_cobounded_under_ge_of_tendsto {f : filter β} {u : β → α} {a : α}
(hf : f ≠ ⊥) (h : tendsto u f (𝓝 a)) : f.is_cobounded_under (≥) u :=
is_cobounded_of_is_bounded (map_ne_bot hf) (is_bounded_under_le_of_tendsto h)
end ordered_topology
section ordered_topology
variables [semilattice_inf α] [topological_space α] [orderable_topology α]
lemma is_bounded_ge_nhds (a : α) : (𝓝 a).is_bounded (≥) :=
match forall_le_or_exists_lt_inf a with
| or.inl h := ⟨a, show {x : α | a ≤ x} ∈ 𝓝 a, from univ_mem_sets' h⟩
| or.inr ⟨b, hb⟩ := ⟨b, le_mem_nhds hb⟩
end
lemma is_bounded_under_ge_of_tendsto {f : filter β} {u : β → α} {a : α}
(h : tendsto u f (𝓝 a)) : f.is_bounded_under (≥) u :=
is_bounded_of_le h (is_bounded_ge_nhds a)
lemma is_cobounded_le_nhds (a : α) : (𝓝 a).is_cobounded (≤) :=
is_cobounded_of_is_bounded nhds_neq_bot (is_bounded_ge_nhds a)
lemma is_cobounded_under_le_of_tendsto {f : filter β} {u : β → α} {a : α}
(hf : f ≠ ⊥) (h : tendsto u f (𝓝 a)) : f.is_cobounded_under (≤) u :=
is_cobounded_of_is_bounded (map_ne_bot hf) (is_bounded_under_ge_of_tendsto h)
end ordered_topology
section conditionally_complete_linear_order
variables [conditionally_complete_linear_order α]
theorem lt_mem_sets_of_Limsup_lt {f : filter α} {b} (h : f.is_bounded (≤)) (l : f.Limsup < b) :
{a | a < b} ∈ f :=
let ⟨c, (h : {a : α | a ≤ c} ∈ f), hcb⟩ :=
exists_lt_of_cInf_lt (ne_empty_iff_exists_mem.2 h) l in
mem_sets_of_superset h $ assume a hac, lt_of_le_of_lt hac hcb
theorem gt_mem_sets_of_Liminf_gt : ∀ {f : filter α} {b}, f.is_bounded (≥) → f.Liminf > b →
{a | a > b} ∈ f :=
@lt_mem_sets_of_Limsup_lt (order_dual α) _
variables [topological_space α] [orderable_topology α]
/-- If the liminf and the limsup of a filter coincide, then this filter converges to
their common value, at least if the filter is eventually bounded above and below. -/
theorem le_nhds_of_Limsup_eq_Liminf {f : filter α} {a : α}
(hl : f.is_bounded (≤)) (hg : f.is_bounded (≥)) (hs : f.Limsup = a) (hi : f.Liminf = a) :
f ≤ 𝓝 a :=
tendsto_orderable.2 $ and.intro
(assume b hb, gt_mem_sets_of_Liminf_gt hg $ hi.symm ▸ hb)
(assume b hb, lt_mem_sets_of_Limsup_lt hl $ hs.symm ▸ hb)
theorem Limsup_nhds (a : α) : Limsup (𝓝 a) = a :=
cInf_intro (ne_empty_iff_exists_mem.2 $ is_bounded_le_nhds a)
(assume a' (h : {n : α | n ≤ a'} ∈ 𝓝 a), show a ≤ a', from @mem_of_nhds α _ a _ h)
(assume b (hba : a < b), show ∃c (h : {n : α | n ≤ c} ∈ 𝓝 a), c < b, from
match dense_or_discrete a b with
| or.inl ⟨c, hac, hcb⟩ := ⟨c, ge_mem_nhds hac, hcb⟩
| or.inr ⟨_, h⟩ := ⟨a, (𝓝 a).sets_of_superset (gt_mem_nhds hba) h, hba⟩
end)
theorem Liminf_nhds : ∀ (a : α), Liminf (𝓝 a) = a :=
@Limsup_nhds (order_dual α) _ _ _
/-- If a filter is converging, its limsup coincides with its limit. -/
theorem Liminf_eq_of_le_nhds {f : filter α} {a : α} (hf : f ≠ ⊥) (h : f ≤ 𝓝 a) : f.Liminf = a :=
have hb_ge : is_bounded (≥) f, from is_bounded_of_le h (is_bounded_ge_nhds a),
have hb_le : is_bounded (≤) f, from is_bounded_of_le h (is_bounded_le_nhds a),
le_antisymm
(calc f.Liminf ≤ f.Limsup : Liminf_le_Limsup hf hb_le hb_ge
... ≤ (𝓝 a).Limsup :
Limsup_le_Limsup_of_le h (is_cobounded_of_is_bounded hf hb_ge) (is_bounded_le_nhds a)
... = a : Limsup_nhds a)
(calc a = (𝓝 a).Liminf : (Liminf_nhds a).symm
... ≤ f.Liminf :
Liminf_le_Liminf_of_le h (is_bounded_ge_nhds a) (is_cobounded_of_is_bounded hf hb_le))
/-- If a filter is converging, its liminf coincides with its limit. -/
theorem Limsup_eq_of_le_nhds : ∀ {f : filter α} {a : α}, f ≠ ⊥ → f ≤ 𝓝 a → f.Limsup = a :=
@Liminf_eq_of_le_nhds (order_dual α) _ _ _
end conditionally_complete_linear_order
section complete_linear_order
variables [complete_linear_order α] [topological_space α] [orderable_topology α]
-- In complete_linear_order, the above theorems take a simpler form
/-- If the liminf and the limsup of a function coincide, then the limit of the function
exists and has the same value -/
theorem tendsto_of_liminf_eq_limsup {f : filter β} {u : β → α} {a : α}
(h : liminf f u = a ∧ limsup f u = a) : tendsto u f (𝓝 a) :=
le_nhds_of_Limsup_eq_Liminf is_bounded_le_of_top is_bounded_ge_of_bot h.2 h.1
/-- If a function has a limit, then its limsup coincides with its limit-/
theorem limsup_eq_of_tendsto {f : filter β} {u : β → α} {a : α} (hf : f ≠ ⊥)
(h : tendsto u f (𝓝 a)) : limsup f u = a :=
Limsup_eq_of_le_nhds (map_ne_bot hf) h
/-- If a function has a limit, then its liminf coincides with its limit-/
theorem liminf_eq_of_tendsto {f : filter β} {u : β → α} {a : α} (hf : f ≠ ⊥)
(h : tendsto u f (𝓝 a)) : liminf f u = a :=
Liminf_eq_of_le_nhds (map_ne_bot hf) h
end complete_linear_order
end liminf_limsup
end orderable_topology
lemma orderable_topology_of_nhds_abs
{α : Type*} [decidable_linear_ordered_comm_group α] [topological_space α]
(h_nhds : ∀a:α, 𝓝 a = (⨅r>0, principal {b | abs (a - b) < r})) : orderable_topology α :=
orderable_topology.mk $ eq_of_nhds_eq_nhds $ assume a:α, le_antisymm_iff.mpr
begin
simp [infi_and, topological_space.nhds_generate_from,
h_nhds, le_infi_iff, -le_principal_iff, and_comm],
refine ⟨λ s ha b hs, _, λ r hr, _⟩,
{ rcases hs with rfl | rfl,
{ refine infi_le_of_le (a - b)
(infi_le_of_le (lt_sub_left_of_add_lt $ by simpa using ha) $
principal_mono.mpr $ assume c (hc : abs (a - c) < a - b), _),
have : a - c < a - b := lt_of_le_of_lt (le_abs_self _) hc,
exact lt_of_neg_lt_neg (lt_of_add_lt_add_left this) },
{ refine infi_le_of_le (b - a)
(infi_le_of_le (lt_sub_left_of_add_lt $ by simpa using ha) $
principal_mono.mpr $ assume c (hc : abs (a - c) < b - a), _),
have : abs (c - a) < b - a, {rw abs_sub; simpa using hc},
have : c - a < b - a := lt_of_le_of_lt (le_abs_self _) this,
exact lt_of_add_lt_add_right this } },
{ have h : {b | abs (a + -b) < r} = {b | a - r < b} ∩ {b | b < a + r},
from set.ext (assume b,
by simp [abs_lt, -sub_eq_add_neg, (sub_eq_add_neg _ _).symm,
sub_lt, lt_sub_iff_add_lt, and_comm, sub_lt_iff_lt_add']),
rw [h, ← inf_principal],
apply le_inf _ _,
{ exact infi_le_of_le {b : α | a - r < b} (infi_le_of_le (sub_lt_self a hr) $
infi_le_of_le (a - r) $ infi_le _ (or.inl rfl)) },
{ exact infi_le_of_le {b : α | b < a + r} (infi_le_of_le (lt_add_of_pos_right _ hr) $
infi_le_of_le (a + r) $ infi_le _ (or.inr rfl)) } }
end
lemma tendsto_at_top_supr_nat [topological_space α] [complete_linear_order α] [orderable_topology α]
(f : ℕ → α) (hf : monotone f) : tendsto f at_top (𝓝 (⨆i, f i)) :=
tendsto_orderable.2 $ and.intro
(assume a ha, let ⟨n, hn⟩ := lt_supr_iff.1 ha in
mem_at_top_sets.2 ⟨n, assume i hi, lt_of_lt_of_le hn (hf hi)⟩)
(assume a ha, univ_mem_sets' (assume n, lt_of_le_of_lt (le_supr _ n) ha))
lemma tendsto_at_top_infi_nat [topological_space α] [complete_linear_order α] [orderable_topology α]
(f : ℕ → α) (hf : ∀{n m}, n ≤ m → f m ≤ f n) : tendsto f at_top (𝓝 (⨅i, f i)) :=
@tendsto_at_top_supr_nat (order_dual α) _ _ _ _ @hf
lemma supr_eq_of_tendsto {α} [topological_space α] [complete_linear_order α] [orderable_topology α]
{f : ℕ → α} {a : α} (hf : monotone f) : tendsto f at_top (𝓝 a) → supr f = a :=
tendsto_nhds_unique at_top_ne_bot (tendsto_at_top_supr_nat f hf)
lemma infi_eq_of_tendsto {α} [topological_space α] [complete_linear_order α] [orderable_topology α]
{f : ℕ → α} {a : α} (hf : ∀n m, n ≤ m → f m ≤ f n) : tendsto f at_top (𝓝 a) → infi f = a :=
tendsto_nhds_unique at_top_ne_bot (tendsto_at_top_infi_nat f hf)
|
185cd0387c33e9d2efc94ab772f64ee710e7a1a1 | 6772a11d96d69b3f90d6eeaf7f9accddf2a7691d | /tactics.lean | b4cc2430f75db38996d78c38ccf25352c6e0deb0 | [] | no_license | lbordowitz/lean-category-theory | 5397361f0f81037d65762da48de2c16ec85a5e4b | 8c59893e44af3804eba4dbc5f7fa5928ed2e0ae6 | refs/heads/master | 1,611,310,752,156 | 1,487,070,172,000 | 1,487,070,172,000 | 82,003,141 | 0 | 0 | null | 1,487,118,553,000 | 1,487,118,553,000 | null | UTF-8 | Lean | false | false | 2,035 | 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
set_option pp.universes true
open smt_tactic
def pointwise_attribute : user_attribute := {
name := `pointwise,
descr := "A lemma that proves things are equal using the fact they are pointwise equal."
}
run_command attribute.register `pointwise_attribute
open tactic
/- Try to apply one of the given lemas, it succeeds if one of them succeeds. -/
meta def any_apply : list name → tactic unit
| [] := failed
| (c::cs) := (mk_const c >>= fapply) <|> any_apply cs
meta def smt : tactic unit := using_smt $ intros >> add_lemmas_from_facts >> try ematch >> try simp
meta def pointwise (and_then : tactic unit) : tactic unit :=
do cs ← attribute.get_instances `pointwise,
try (do any_apply cs, and_then)
meta def blast : tactic unit := smt >> pointwise (repeat_at_most 2 blast) -- pointwise equality of functors creates two goals
notation `♮` := by abstract { blast }
@[pointwise] lemma {u v} pair_equality {α : Type u} {β : Type v} { X: α × β }: (X^.fst, X^.snd) = X := begin induction X, blast end
@[pointwise] lemma {u v} pair_equality_1 {α : Type u} {β : Type v} { X: α × β } { A : α } ( p : A = X^.fst ) : (A, X^.snd) = X := begin induction X, blast end
@[pointwise] lemma {u v} pair_equality_2 {α : Type u} {β : Type v} { X: α × β } { B : β } ( p : B = X^.snd ) : (X^.fst, B) = X := begin induction X, blast end
-- But let's not use this last one, as it introduces two goals.
-- @[pointwise] lemma {u v} pair_equality_3 {α : Type u} {β : Type v} { X: α × β } { A : α } ( p : A = X^.fst ) { B : β } ( p : B = X^.snd ) : (A, B) = X := begin induction X, blast end
attribute [pointwise] subtype.eq
def {u} auto_cast {α β : Type u} {h : α = β} (a : α) := cast h a
@[simp] lemma {u} auto_cast_identity {α : Type u} (a : α) : @auto_cast α α ♮ a = a := ♮
notation `⟦` p `⟧` := @auto_cast _ _ ♮ p |
3877a3ea104854043bc3a00c8a706a3a6c78a0f6 | 05f637fa14ac28031cb1ea92086a0f4eb23ff2b1 | /tests/lean/elab4.lean | 54b12ee9598b0a70f2e702f234f47c4aeab46a48 | [
"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 | 500 | lean | variable C {A B : Type} (H : A = B) (a : A) : B
variable D {A A' : Type} {B : A -> Type} {B' : A' -> Type} (H : (forall x : A, B x) = (forall x : A', B' x)) : A = A'
variable R {A A' : Type} {B : A -> Type} {B' : A' -> Type} (H : (forall x : A, B x) = (forall x : A', B' x)) (a : A) :
(B a) = (B' (C (D H) a))
theorem R2 : forall (A1 A2 B1 B2 : Type) (H : (A1 -> B1) = (A2 -> B2)) (a : A1), B1 = B2 :=
fun A1 A2 B1 B2 H a, R H a
set_option pp::implicit true
print environment 7.
|
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