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29bb3595377259b0ddf70ccecbdbd1cdafb357de | 4727251e0cd73359b15b664c3170e5d754078599 | /src/control/bifunctor.lean | 356eab1bda53a6664662d810bbc49de7a24753b0 | [
"Apache-2.0"
] | permissive | Vierkantor/mathlib | 0ea59ac32a3a43c93c44d70f441c4ee810ccceca | 83bc3b9ce9b13910b57bda6b56222495ebd31c2f | refs/heads/master | 1,658,323,012,449 | 1,652,256,003,000 | 1,652,256,003,000 | 209,296,341 | 0 | 1 | Apache-2.0 | 1,568,807,655,000 | 1,568,807,655,000 | null | UTF-8 | Lean | false | false | 5,057 | lean | /-
Copyright (c) 2018 Simon Hudon. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Simon Hudon
-/
import control.functor
import data.sum.basic
/-!
# Functors with two arguments
This file defines bifunctors.
A bifunctor is a function `F : Type* → Type* → Type*` along with a bimap which turns `F α β` into
`F α' β'` given two functions `α → α'` and `β → β'`. It further
* respects the identity: `bimap id id = id`
* composes in the obvious way: `(bimap f' g') ∘ (bimap f g) = bimap (f' ∘ f) (g' ∘ g)`
## Main declarations
* `bifunctor`: A typeclass for the bare bimap of a bifunctor.
* `is_lawful_bifunctor`: A typeclass asserting this bimap respects the bifunctor laws.
-/
universes u₀ u₁ u₂ v₀ v₁ v₂
open function
/-- Lawless bifunctor. This typeclass only holds the data for the bimap. -/
class bifunctor (F : Type u₀ → Type u₁ → Type u₂) :=
(bimap : Π {α α' β β'}, (α → α') → (β → β') → F α β → F α' β')
export bifunctor ( bimap )
/-- Bifunctor. This typeclass asserts that a lawless `bifunctor` is lawful. -/
class is_lawful_bifunctor (F : Type u₀ → Type u₁ → Type u₂) [bifunctor F] :=
(id_bimap : Π {α β} (x : F α β), bimap id id x = x)
(bimap_bimap : Π {α₀ α₁ α₂ β₀ β₁ β₂} (f : α₀ → α₁) (f' : α₁ → α₂)
(g : β₀ → β₁) (g' : β₁ → β₂) (x : F α₀ β₀),
bimap f' g' (bimap f g x) = bimap (f' ∘ f) (g' ∘ g) x)
export is_lawful_bifunctor (id_bimap bimap_bimap)
attribute [higher_order bimap_id_id] id_bimap
attribute [higher_order bimap_comp_bimap] bimap_bimap
export is_lawful_bifunctor (bimap_id_id bimap_comp_bimap)
variables {F : Type u₀ → Type u₁ → Type u₂} [bifunctor F]
namespace bifunctor
/-- Left map of a bifunctor. -/
@[reducible] def fst {α α' β} (f : α → α') : F α β → F α' β := bimap f id
/-- Right map of a bifunctor. -/
@[reducible] def snd {α β β'} (f : β → β') : F α β → F α β' := bimap id f
variable [is_lawful_bifunctor F]
@[higher_order fst_id]
lemma id_fst : Π {α β} (x : F α β), fst id x = x :=
@id_bimap _ _ _
@[higher_order snd_id]
lemma id_snd : Π {α β} (x : F α β), snd id x = x :=
@id_bimap _ _ _
@[higher_order fst_comp_fst]
lemma comp_fst {α₀ α₁ α₂ β}
(f : α₀ → α₁) (f' : α₁ → α₂) (x : F α₀ β) :
fst f' (fst f x) = fst (f' ∘ f) x :=
by simp [fst,bimap_bimap]
@[higher_order fst_comp_snd]
lemma fst_snd {α₀ α₁ β₀ β₁}
(f : α₀ → α₁) (f' : β₀ → β₁) (x : F α₀ β₀) :
fst f (snd f' x) = bimap f f' x :=
by simp [fst,bimap_bimap]
@[higher_order snd_comp_fst]
lemma snd_fst {α₀ α₁ β₀ β₁}
(f : α₀ → α₁) (f' : β₀ → β₁) (x : F α₀ β₀) :
snd f' (fst f x) = bimap f f' x :=
by simp [snd,bimap_bimap]
@[higher_order snd_comp_snd]
lemma comp_snd {α β₀ β₁ β₂}
(g : β₀ → β₁) (g' : β₁ → β₂) (x : F α β₀) :
snd g' (snd g x) = snd (g' ∘ g) x :=
by simp [snd,bimap_bimap]
attribute [functor_norm] bimap_bimap comp_snd comp_fst
snd_comp_snd snd_comp_fst fst_comp_snd fst_comp_fst bimap_comp_bimap
bimap_id_id fst_id snd_id
end bifunctor
open functor
instance : bifunctor prod :=
{ bimap := @prod.map }
instance : is_lawful_bifunctor prod :=
by refine { .. }; intros; cases x; refl
instance bifunctor.const : bifunctor const :=
{ bimap := (λ α α' β β f _, f) }
instance is_lawful_bifunctor.const : is_lawful_bifunctor const :=
by refine { .. }; intros; refl
instance bifunctor.flip : bifunctor (flip F) :=
{ bimap := (λ α α' β β' f f' x, (bimap f' f x : F β' α')) }
instance is_lawful_bifunctor.flip [is_lawful_bifunctor F] : is_lawful_bifunctor (flip F) :=
by refine { .. }; intros; simp [bimap] with functor_norm
instance : bifunctor sum :=
{ bimap := @sum.map }
instance : is_lawful_bifunctor sum :=
by refine { .. }; intros; cases x; refl
open bifunctor functor
@[priority 10]
instance bifunctor.functor {α} : functor (F α) :=
{ map := λ _ _, snd }
@[priority 10]
instance bifunctor.is_lawful_functor [is_lawful_bifunctor F] {α} : is_lawful_functor (F α) :=
by refine {..}; intros; simp [functor.map] with functor_norm
section bicompl
variables (G : Type* → Type u₀) (H : Type* → Type u₁) [functor G] [functor H]
instance : bifunctor (bicompl F G H) :=
{ bimap := λ α α' β β' f f' x, (bimap (map f) (map f') x : F (G α') (H β')) }
instance [is_lawful_functor G] [is_lawful_functor H] [is_lawful_bifunctor F] :
is_lawful_bifunctor (bicompl F G H) :=
by constructor; intros; simp [bimap,map_id,map_comp_map] with functor_norm
end bicompl
section bicompr
variables (G : Type u₂ → Type*) [functor G]
instance : bifunctor (bicompr G F) :=
{ bimap := λ α α' β β' f f' x, (map (bimap f f') x : G (F α' β')) }
instance [is_lawful_functor G] [is_lawful_bifunctor F] :
is_lawful_bifunctor (bicompr G F) :=
by constructor; intros; simp [bimap] with functor_norm
end bicompr
|
8354fb7eba462d50e9dcd083c644c5eacf07afa0 | 57aec6ee746bc7e3a3dd5e767e53bd95beb82f6d | /src/Lean/Elab/Deriving/Inhabited.lean | 8c9f8fc3453bac7063befbd818d4fa17034c63c0 | [
"Apache-2.0"
] | permissive | collares/lean4 | 861a9269c4592bce49b71059e232ff0bfe4594cc | 52a4f535d853a2c7c7eea5fee8a4fa04c682c1ee | refs/heads/master | 1,691,419,031,324 | 1,618,678,138,000 | 1,618,678,138,000 | 358,989,750 | 0 | 0 | Apache-2.0 | 1,618,696,333,000 | 1,618,696,333,000 | null | UTF-8 | Lean | false | false | 5,441 | 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.Elab.Deriving.Basic
namespace Lean.Elab
open Command
open Meta
private abbrev IndexSet := Std.RBTree Nat (.<.)
private abbrev LocalInst2Index := NameMap Nat
private def implicitBinderF := Parser.Term.implicitBinder
private def instBinderF := Parser.Term.instBinder
private def mkInhabitedInstanceUsing (inductiveTypeName : Name) (ctorName : Name) (addHypotheses : Bool) : CommandElabM Bool := do
match (← liftTermElabM none mkInstanceCmd?) with
| some cmd =>
elabCommand cmd
return true
| none =>
return false
where
addLocalInstancesForParamsAux {α} (k : LocalInst2Index → TermElabM α) : List Expr → Nat → LocalInst2Index → TermElabM α
| [], i, map => k map
| x::xs, i, map =>
try
let instType ← mkAppM `Inhabited #[x]
if (← isTypeCorrect instType) then
withLocalDeclD (← mkFreshUserName `inst) instType fun inst => do
trace[Elab.Deriving.inhabited] "adding local instance {instType}"
addLocalInstancesForParamsAux k xs (i+1) (map.insert inst.fvarId! i)
else
addLocalInstancesForParamsAux k xs (i+1) map
catch _ =>
addLocalInstancesForParamsAux k xs (i+1) map
addLocalInstancesForParams {α} (xs : Array Expr) (k : LocalInst2Index → TermElabM α) : TermElabM α := do
if addHypotheses then
addLocalInstancesForParamsAux k xs.toList 0 {}
else
k {}
collectUsedLocalsInsts (usedInstIdxs : IndexSet) (localInst2Index : LocalInst2Index) (e : Expr) : IndexSet :=
if localInst2Index.isEmpty then
usedInstIdxs
else
let visit {ω} : StateRefT IndexSet (ST ω) Unit :=
e.forEach fun
| Expr.fvar fvarId _ =>
match localInst2Index.find? fvarId with
| some idx => modify (·.insert idx)
| none => pure ()
| _ => pure ()
runST (fun _ => visit |>.run usedInstIdxs) |>.2
/- Create an `instance` command using the constructor `ctorName` with a hypothesis `Inhabited α` when `α` is one of the inductive type parameters
at position `i` and `i ∈ assumingParamIdxs`. -/
mkInstanceCmdWith (assumingParamIdxs : IndexSet) : TermElabM Syntax := do
let indVal ← getConstInfoInduct inductiveTypeName
let ctorVal ← getConstInfoCtor ctorName
let mut indArgs := #[]
let mut binders := #[]
for i in [:indVal.numParams + indVal.numIndices] do
let arg := mkIdent (← mkFreshUserName `a)
indArgs := indArgs.push arg
let binder ← `(implicitBinderF| { $arg:ident })
binders := binders.push binder
if assumingParamIdxs.contains i then
let binder ← `(instBinderF| [ Inhabited $arg:ident ])
binders := binders.push binder
let type ← `(Inhabited (@$(mkIdent inductiveTypeName):ident $indArgs:ident*))
let mut ctorArgs := #[]
for i in [:ctorVal.numParams] do
ctorArgs := ctorArgs.push (← `(_))
for i in [:ctorVal.numFields] do
ctorArgs := ctorArgs.push (← `(arbitrary))
let val ← `(⟨@$(mkIdent ctorName):ident $ctorArgs:ident*⟩)
`(instance $binders:explicitBinder* : $type := $val)
mkInstanceCmd? : TermElabM (Option Syntax) := do
let ctorVal ← getConstInfoCtor ctorName
forallTelescopeReducing ctorVal.type fun xs _ =>
addLocalInstancesForParams xs[:ctorVal.numParams] fun localInst2Index => do
let mut usedInstIdxs := {}
let mut ok := true
for i in [ctorVal.numParams:xs.size] do
let x := xs[i]
let instType ← mkAppM `Inhabited #[(← inferType x)]
trace[Elab.Deriving.inhabited] "checking {instType} for '{ctorName}'"
match (← trySynthInstance instType) with
| LOption.some e =>
usedInstIdxs ← collectUsedLocalsInsts usedInstIdxs localInst2Index e
| _ =>
trace[Elab.Deriving.inhabited] "failed to generate instance using '{ctorName}' {if addHypotheses then "(assuming parameters are inhabited)" else ""} because of field with type{indentExpr (← inferType x)}"
ok := false
break
if !ok then
return none
else
trace[Elab.Deriving.inhabited] "inhabited instance using '{ctorName}' {if addHypotheses then "(assuming parameters are inhabited)" else ""} {usedInstIdxs.toList}"
let cmd ← mkInstanceCmdWith usedInstIdxs
trace[Elab.Deriving.inhabited] "\n{cmd}"
return some cmd
private def mkInhabitedInstance (declName : Name) : CommandElabM Unit := do
let indVal ← getConstInfoInduct declName
let doIt (addHypotheses : Bool) : CommandElabM Bool := do
for ctorName in indVal.ctors do
if (← mkInhabitedInstanceUsing declName ctorName addHypotheses) then
return true
return false
unless (← doIt false <||> doIt true) do
throwError "failed to generate 'Inhabited' instance for '{declName}'"
def mkInhabitedInstanceHandler (declNames : Array Name) : CommandElabM Bool := do
if (← declNames.allM isInductive) then
declNames.forM mkInhabitedInstance
return true
else
return false
builtin_initialize
registerBuiltinDerivingHandler `Inhabited mkInhabitedInstanceHandler
registerTraceClass `Elab.Deriving.inhabited
end Lean.Elab
|
a312db8e96bff83806321b8279d39451d7e2018d | 1437b3495ef9020d5413178aa33c0a625f15f15f | /linear_algebra/basic.lean | 802b677a4659100c9ee09a53673a0da090b47820 | [
"Apache-2.0"
] | permissive | jean002/mathlib | c66bbb2d9fdc9c03ae07f869acac7ddbfce67a30 | dc6c38a765799c99c4d9c8d5207d9e6c9e0e2cfd | refs/heads/master | 1,587,027,806,375 | 1,547,306,358,000 | 1,547,306,358,000 | null | 0 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 42,160 | 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, Kevin Buzzard
Basics of linear algebra. This sets up the "categorical/lattice structure" of
modules, submodules, and linear maps.
-/
import algebra.pi_instances data.finsupp order.order_iso
open function lattice
reserve infix `≃ₗ` : 50
universes u v w x y
variables {α : Type u} {β : Type v} {γ : Type w} {δ : Type y} {ι : Type x}
@[elab_as_eliminator]
lemma classical.some_spec3 {α : Type*} {p : α → Prop} {h : ∃a, p a}
(q : α → Prop) (hpq : ∀a, p a → q a) : q (classical.some h) :=
hpq _ $ classical.some_spec _
namespace finset
lemma smul_sum [ring γ] [add_comm_group β] [module γ β]
{s : finset α} {a : γ} {f : α → β} :
a • (s.sum f) = s.sum (λc, a • f c) :=
(finset.sum_hom ((•) a)).symm
end finset
namespace finsupp
lemma smul_sum [has_zero β] [ring γ] [add_comm_group δ] [module γ δ]
{v : α →₀ β} {c : γ} {h : α → β → δ} :
c • (v.sum h) = v.sum (λa b, c • h a b) :=
finset.smul_sum
end finsupp
namespace linear_map
section
variables [ring α] [add_comm_group β] [add_comm_group γ] [add_comm_group δ]
variables [module α β] [module α γ] [module α δ]
variables (f g : β →ₗ γ)
include α
theorem comp_id (f : β →ₗ γ) : f.comp id = f :=
linear_map.ext $ λ x, rfl
theorem id_comp (f : β →ₗ γ) : id.comp f = f :=
linear_map.ext $ λ x, rfl
def cod_restrict (p : submodule α β) (f : γ →ₗ β) (h : ∀c, f c ∈ p) : γ →ₗ p :=
by refine {to_fun := λc, ⟨f c, h c⟩, ..}; intros; apply set_coe.ext; simp
@[simp] theorem cod_restrict_apply (p : submodule α β) (f : γ →ₗ β) {h} (x : γ) :
(cod_restrict p f h x : β) = f x := rfl
def inverse (g : γ → β) (h₁ : left_inverse g f) (h₂ : right_inverse g f) : γ →ₗ β :=
by dsimp [left_inverse, function.right_inverse] at h₁ h₂; exact
⟨g, λ x y, by rw [← h₁ (g (x + y)), ← h₁ (g x + g y)]; simp [h₂],
λ a b, by rw [← h₁ (g (a • b)), ← h₁ (a • g b)]; simp [h₂]⟩
instance : has_zero (β →ₗ γ) := ⟨⟨λ _, 0, by simp, by simp⟩⟩
@[simp] lemma zero_apply (x : β) : (0 : β →ₗ γ) x = 0 := rfl
instance : has_neg (β →ₗ γ) := ⟨λ f, ⟨λ b, - f b, by simp, by simp⟩⟩
@[simp] lemma neg_apply (x : β) : (- f) x = - f x := rfl
instance : has_add (β →ₗ γ) := ⟨λ f g, ⟨λ b, f b + g b, by simp, by simp [smul_add]⟩⟩
@[simp] lemma add_apply (x : β) : (f + g) x = f x + g x := rfl
instance : add_comm_group (β →ₗ γ) :=
by refine {zero := 0, add := (+), neg := has_neg.neg, ..};
intros; ext; simp
instance linear_map.is_add_group_hom : is_add_group_hom f :=
by refine_struct {..}; simp
instance linear_map_apply_is_add_group_hom (a : β) :
is_add_group_hom (λ f : β →ₗ γ, f a) :=
by refine_struct {..}; simp
lemma sum_apply [decidable_eq δ] (t : finset δ) (f : δ → β →ₗ γ) (b : β) :
t.sum f b = t.sum (λd, f d b) :=
(@finset.sum_hom _ _ _ t f _ _ (λ g : β →ₗ γ, g b) _).symm
@[simp] lemma sub_apply (x : β) : (f - g) x = f x - g x := rfl
def smul_right (f : γ →ₗ α) (x : β) : γ →ₗ β :=
⟨λb, f b • x, by simp [add_smul], by simp [smul_smul]⟩.
@[simp] theorem smul_right_apply (f : γ →ₗ α) (x : β) (c : γ) :
(smul_right f x : γ → β) c = f c • x := rfl
instance : has_one (β →ₗ β) := ⟨linear_map.id⟩
instance : has_mul (β →ₗ β) := ⟨linear_map.comp⟩
@[simp] lemma one_app (x : β) : (1 : β →ₗ β) x = x := rfl
@[simp] lemma mul_app (A B : β →ₗ β) (x : β) : (A * B) x = A (B x) := rfl
section
variables (α β)
include β
-- declaring this an instance breaks `real.lean` with reaching max. instance resolution depth
def endomorphism_ring : ring (β →ₗ β) :=
by refine {mul := (*), one := 1, ..linear_map.add_comm_group, ..};
{ intros, apply linear_map.ext, simp }
/-- The group of invertible linear maps from `β` to itself -/
def general_linear_group :=
by haveI := endomorphism_ring α β; exact units (β →ₗ β)
end
section
variables (β γ)
def fst : β × γ →ₗ β := ⟨prod.fst, λ x y, rfl, λ x y, rfl⟩
def snd : β × γ →ₗ γ := ⟨prod.snd, λ x y, rfl, λ x y, rfl⟩
end
@[simp] theorem fst_apply (x : β × γ) : fst β γ x = x.1 := rfl
@[simp] theorem snd_apply (x : β × γ) : snd β γ x = x.2 := rfl
def pair (f : β →ₗ γ) (g : β →ₗ δ) : β →ₗ γ × δ :=
⟨λ x, (f x, g x), λ x y, by simp, λ x y, by simp⟩
@[simp] theorem pair_apply (f : β →ₗ γ) (g : β →ₗ δ) (x : β) :
pair f g x = (f x, g x) := rfl
@[simp] theorem fst_pair (f : β →ₗ γ) (g : β →ₗ δ) :
(fst γ δ).comp (pair f g) = f := by ext; refl
@[simp] theorem snd_pair (f : β →ₗ γ) (g : β →ₗ δ) :
(snd γ δ).comp (pair f g) = g := by ext; refl
@[simp] theorem pair_fst_snd : pair (fst β γ) (snd β γ) = linear_map.id :=
by ext; refl
section
variables (β γ)
def inl : β →ₗ β × γ := by refine ⟨prod.inl, _, _⟩; intros; simp [prod.inl]
def inr : γ →ₗ β × γ := by refine ⟨prod.inr, _, _⟩; intros; simp [prod.inr]
end
@[simp] theorem inl_apply (x : β) : inl β γ x = (x, 0) := rfl
@[simp] theorem inr_apply (x : γ) : inr β γ x = (0, x) := rfl
def copair (f : β →ₗ δ) (g : γ →ₗ δ) : β × γ →ₗ δ :=
⟨λ x, f x.1 + g x.2, λ x y, by simp, λ x y, by simp [smul_add]⟩
@[simp] theorem copair_apply (f : β →ₗ δ) (g : γ →ₗ δ) (x : β) (y : γ) :
copair f g (x, y) = f x + g y := rfl
@[simp] theorem copair_inl (f : β →ₗ δ) (g : γ →ₗ δ) :
(copair f g).comp (inl β γ) = f := by ext; simp
@[simp] theorem copair_inr (f : β →ₗ δ) (g : γ →ₗ δ) :
(copair f g).comp (inr β γ) = g := by ext; simp
@[simp] theorem copair_inl_inr : copair (inl β γ) (inr β γ) = linear_map.id :=
by ext ⟨x, y⟩; simp
theorem fst_eq_copair : fst β γ = copair linear_map.id 0 := by ext ⟨x, y⟩; simp
theorem snd_eq_copair : snd β γ = copair 0 linear_map.id := by ext ⟨x, y⟩; simp
theorem inl_eq_pair : inl β γ = pair linear_map.id 0 := rfl
theorem inr_eq_pair : inr β γ = pair 0 linear_map.id := rfl
end
section comm_ring
variables [comm_ring α] [add_comm_group β] [add_comm_group γ] [add_comm_group δ]
variables [module α β] [module α γ] [module α δ]
variables (f g : β →ₗ γ)
include α
instance : has_scalar α (β →ₗ γ) := ⟨λ a f,
⟨λ b, a • f b, by simp [smul_add], by simp [smul_smul, mul_comm]⟩⟩
@[simp] lemma smul_apply (a : α) (x : β) : (a • f) x = a • f x := rfl
instance : module α (β →ₗ γ) :=
module.of_core $ by refine { smul := (•), ..};
intros; ext; simp [smul_add, add_smul, smul_smul]
def congr_right (f : γ →ₗ δ) : (β →ₗ γ) →ₗ (β →ₗ δ) :=
⟨linear_map.comp f,
λ _ _, linear_map.ext $ λ _, f.2 _ _,
λ _ _, linear_map.ext $ λ _, f.3 _ _⟩
end comm_ring
end linear_map
namespace submodule
variables {R:ring α} [add_comm_group β] [add_comm_group γ] [add_comm_group δ]
variables [module α β] [module α γ] [module α δ]
variables (p p' : submodule α β) (q q' : submodule α γ)
variables {r : α} {x y : β}
include R
open set lattice
instance : partial_order (submodule α β) :=
partial_order.lift (coe : submodule α β → set β) $ λ a b, ext'
lemma le_def {p p' : submodule α β} : p ≤ p' ↔ (p : set β) ⊆ p' := iff.rfl
lemma le_def' {p p' : submodule α β} : p ≤ p' ↔ ∀ x ∈ p, x ∈ p' := iff.rfl
def of_le {p p' : submodule α β} (h : p ≤ p') : p →ₗ p' :=
linear_map.cod_restrict _ p.subtype $ λ ⟨x, hx⟩, h hx
@[simp] theorem of_le_apply {p p' : submodule α β} (h : p ≤ p')
(x : p) : (of_le h x : β) = x := rfl
instance : has_bot (submodule α β) :=
⟨by split; try {exact {0}}; simp {contextual := tt}⟩
@[simp] lemma bot_coe : ((⊥ : submodule α β) : set β) = {0} := rfl
@[simp] lemma mem_bot : x ∈ (⊥ : submodule α β) ↔ x = 0 := mem_singleton_iff
instance : order_bot (submodule α β) :=
{ bot := ⊥,
bot_le := λ p x, by simp {contextual := tt},
..submodule.partial_order }
instance : has_top (submodule α β) :=
⟨by split; try {exact set.univ}; simp⟩
@[simp] lemma top_coe : ((⊤ : submodule α β) : set β) = univ := rfl
@[simp] lemma mem_top : x ∈ (⊤ : submodule α β) := trivial
instance : order_top (submodule α β) :=
{ top := ⊤,
le_top := λ p x _, trivial,
..submodule.partial_order }
instance : has_Inf (submodule α β) :=
⟨λ S, {
carrier := ⋂ s ∈ S, ↑s,
zero := by simp,
add := by simp [add_mem] {contextual := tt},
smul := by simp [smul_mem] {contextual := tt} }⟩
private lemma Inf_le' {S : set (submodule α β)} {p} : p ∈ S → Inf S ≤ p :=
bInter_subset_of_mem
private lemma le_Inf' {S : set (submodule α β)} {p} : (∀p' ∈ S, p ≤ p') → p ≤ Inf S :=
subset_bInter
instance : has_inf (submodule α β) :=
⟨λ p p', {
carrier := p ∩ p',
zero := by simp,
add := by simp [add_mem] {contextual := tt},
smul := by simp [smul_mem] {contextual := tt} }⟩
instance : complete_lattice (submodule α β) :=
{ sup := λ a b, Inf {x | a ≤ x ∧ b ≤ x},
le_sup_left := λ a b, le_Inf' $ λ x ⟨ha, hb⟩, ha,
le_sup_right := λ a b, le_Inf' $ λ x ⟨ha, hb⟩, hb,
sup_le := λ a b c h₁ h₂, Inf_le' ⟨h₁, h₂⟩,
inf := (⊓),
le_inf := λ a b c, subset_inter,
inf_le_left := λ a b, inter_subset_left _ _,
inf_le_right := λ a b, inter_subset_right _ _,
Sup := λtt, Inf {t | ∀t'∈tt, t' ≤ t},
le_Sup := λ s p hs, le_Inf' $ λ p' hp', hp' _ hs,
Sup_le := λ s p hs, Inf_le' hs,
Inf := Inf,
le_Inf := λ s a, le_Inf',
Inf_le := λ s a, Inf_le',
..submodule.lattice.order_top,
..submodule.lattice.order_bot }
lemma eq_top_iff' {p : submodule α β} : p = ⊤ ↔ ∀ x, x ∈ p :=
eq_top_iff.trans ⟨λ h x, @h x trivial, λ h x _, h x⟩
@[simp] theorem inf_coe : (p ⊓ p' : set β) = p ∩ p' := rfl
@[simp] theorem mem_inf {p p' : submodule α β} :
x ∈ p ⊓ p' ↔ x ∈ p ∧ x ∈ p' := iff.rfl
@[simp] theorem Inf_coe (P : set (submodule α β)) : (↑(Inf P) : set β) = ⋂ p ∈ P, ↑p := rfl
@[simp] theorem infi_coe {ι} (p : ι → submodule α β) :
(↑⨅ i, p i : set β) = ⋂ i, ↑(p i) :=
by rw [infi, Inf_coe]; ext a; simp; exact
⟨λ h i, h _ i rfl, λ h i x e, e ▸ h _⟩
@[simp] theorem mem_infi {ι} (p : ι → submodule α β) :
x ∈ (⨅ i, p i) ↔ ∀ i, x ∈ p i :=
by rw [← mem_coe, infi_coe, mem_Inter]; refl
theorem disjoint_def {p p' : submodule α β} :
disjoint p p' ↔ ∀ x ∈ p, x ∈ p' → x = (0:β) :=
show (∀ x, x ∈ p ∧ x ∈ p' → x ∈ ({0} : set β)) ↔ _, by simp
/-- The pushforward -/
def map (f : β →ₗ γ) (p : submodule α β) : submodule α γ :=
{ carrier := f '' p,
zero := ⟨0, p.zero_mem, f.map_zero⟩,
add := by rintro _ _ ⟨b₁, hb₁, rfl⟩ ⟨b₂, hb₂, rfl⟩;
exact ⟨_, p.add_mem hb₁ hb₂, f.map_add _ _⟩,
smul := by rintro a _ ⟨b, hb, rfl⟩;
exact ⟨_, p.smul_mem _ hb, f.map_smul _ _⟩ }
lemma map_coe (f : β →ₗ γ) (p : submodule α β) :
(map f p : set γ) = f '' p := rfl
@[simp] lemma mem_map {f : β →ₗ γ} {p : submodule α β} {x : γ} :
x ∈ map f p ↔ ∃ y, y ∈ p ∧ f y = x := iff.rfl
theorem mem_map_of_mem {f : β →ₗ γ} {p : submodule α β} {r} (h : r ∈ p) : f r ∈ map f p :=
set.mem_image_of_mem _ h
lemma map_id : map linear_map.id p = p :=
submodule.ext $ λ a, by simp
lemma map_comp (f : β →ₗ γ) (g : γ →ₗ δ) (p : submodule α β) :
map (g.comp f) p = map g (map f p) :=
submodule.ext' $ by simp [map_coe]; rw ← image_comp
lemma map_mono {f : β →ₗ γ} {p p' : submodule α β} : p ≤ p' → map f p ≤ map f p' :=
image_subset _
/-- The pullback -/
def comap (f : β →ₗ γ) (p : submodule α γ) : submodule α β :=
{ carrier := f ⁻¹' p,
zero := by simp,
add := λ x y h₁ h₂, by simp [p.add_mem h₁ h₂],
smul := λ a x h, by simp [p.smul_mem _ h] }
@[simp] lemma comap_coe (f : β →ₗ γ) (p : submodule α γ) :
(comap f p : set β) = f ⁻¹' p := rfl
@[simp] lemma mem_comap {f : β →ₗ γ} {p : submodule α γ} :
x ∈ comap f p ↔ f x ∈ p := iff.rfl
lemma comap_id : comap linear_map.id p = p :=
submodule.ext' rfl
lemma comap_comp (f : β →ₗ γ) (g : γ →ₗ δ) (p : submodule α δ) :
comap (g.comp f) p = comap f (comap g p) := rfl
lemma comap_mono {f : β →ₗ γ} {q q' : submodule α γ} : q ≤ q' → comap f q ≤ comap f q' :=
preimage_mono
@[simp] lemma comap_top (f : β →ₗ γ) : comap f ⊤ = ⊤ := rfl
lemma map_le_iff_le_comap {f : β →ₗ γ} {p : submodule α β} {q : submodule α γ} :
map f p ≤ q ↔ p ≤ comap f q := image_subset_iff
lemma map_comap_le (f : β →ₗ γ) (q : submodule α γ) : map f (comap f q) ≤ q :=
map_le_iff_le_comap.2 $ le_refl _
lemma le_comap_map (f : β →ₗ γ) (p : submodule α β) : p ≤ comap f (map f p) :=
map_le_iff_le_comap.1 $ le_refl _
@[simp] lemma map_bot (f : β →ₗ γ) : map f ⊥ = ⊥ :=
eq_bot_iff.2 $ map_le_iff_le_comap.2 bot_le
--TODO(Mario): is there a way to prove this from order properties?
lemma map_inf_eq_map_inf_comap {f : β →ₗ γ}
{p : submodule α β} {p' : submodule α γ} :
map f p ⊓ p' = map f (p ⊓ comap f p') :=
le_antisymm
(by rintro _ ⟨⟨x, h₁, rfl⟩, h₂⟩; exact ⟨_, ⟨h₁, h₂⟩, rfl⟩)
(le_inf (map_mono inf_le_left) (map_le_iff_le_comap.2 inf_le_right))
lemma map_comap_subtype : map p.subtype (comap p.subtype p') = p ⊓ p' :=
ext $ λ x, ⟨by rintro ⟨⟨_, h₁⟩, h₂, rfl⟩; exact ⟨h₁, h₂⟩, λ ⟨h₁, h₂⟩, ⟨⟨_, h₁⟩, h₂, rfl⟩⟩
def span (s : set β) : submodule α β := Inf {p | s ⊆ p}
variables {s t : set β}
lemma mem_span : x ∈ span s ↔ ∀ p : submodule α β, s ⊆ p → x ∈ p :=
mem_bInter_iff
lemma subset_span : s ⊆ span s :=
λ x h, mem_span.2 $ λ p hp, hp h
lemma span_le {p} : span s ≤ p ↔ s ⊆ p :=
⟨subset.trans subset_span, λ ss x h, mem_span.1 h _ ss⟩
lemma span_mono (h : s ⊆ t) : span s ≤ span t :=
span_le.2 $ subset.trans h subset_span
lemma span_eq_of_le (h₁ : s ⊆ p) (h₂ : p ≤ span s) : span s = p :=
le_antisymm (span_le.2 h₁) h₂
@[simp] lemma span_eq : span (p : set β) = p :=
span_eq_of_le _ (subset.refl _) subset_span
@[elab_as_eliminator] lemma span_induction {p : β → Prop} (h : x ∈ span s)
(Hs : ∀ x ∈ s, p x) (H0 : p 0)
(H1 : ∀ x y, p x → p y → p (x + y))
(H2 : ∀ a x, p x → p (a • x)) : p x :=
(@span_le _ _ _ _ _ _ ⟨p, H0, H1, H2⟩).2 Hs h
variables (β)
protected def gi : galois_insertion (@span α β _ _ _) coe :=
{ choice := λ s _, span s,
gc := λ s t, span_le,
le_l_u := λ s, subset_span,
choice_eq := λ s h, rfl }
variables {β}
@[simp] lemma span_empty : span (∅ : set β) = ⊥ :=
(submodule.gi β).gc.l_bot
lemma span_union (s t : set β) : span (s ∪ t) = span s ⊔ span t :=
(submodule.gi β).gc.l_sup
lemma span_Union {ι} (s : ι → set β) : span (⋃ i, s i) = ⨆ i, span (s i) :=
(submodule.gi β).gc.l_supr
@[simp] theorem Union_coe_of_directed {ι} (hι : nonempty ι)
(S : ι → submodule α β)
(H : ∀ i j, ∃ k, S i ≤ S k ∧ S j ≤ S k) :
((supr S : submodule α β) : set β) = ⋃ i, S i :=
begin
refine subset.antisymm _ (Union_subset $ le_supr S),
rw [show supr S = ⨆ i, span (S i), by simp, ← span_Union],
unfreezeI,
refine λ x hx, span_induction hx (λ _, id) _ _ _,
{ cases hι with i, exact mem_Union.2 ⟨i, by simp⟩ },
{ simp, intros x y i hi j hj,
rcases H i j with ⟨k, ik, jk⟩,
exact ⟨k, add_mem _ (ik hi) (jk hj)⟩ },
{ simp [-mem_coe]; exact λ a x i hi, ⟨i, smul_mem _ a hi⟩ },
end
@[simp] theorem mem_supr_of_directed {ι} (hι : nonempty ι)
(S : ι → submodule α β)
(H : ∀ i j, ∃ k, S i ≤ S k ∧ S j ≤ S k) {x} :
x ∈ supr S ↔ ∃ i, x ∈ S i :=
by rw [← mem_coe, Union_coe_of_directed hι S H, mem_Union]; refl
theorem mem_Sup_of_directed {s : set (submodule α β)}
{z} (hzs : z ∈ Sup s) (x ∈ s)
(hdir : ∀ i ∈ s, ∀ j ∈ s, ∃ k ∈ s, i ≤ k ∧ j ≤ k) :
∃ y ∈ s, z ∈ y :=
begin
haveI := classical.dec, rw Sup_eq_supr at hzs,
have, { refine (mem_supr_of_directed ⟨⊥⟩ _ (λ i j, _)).1 hzs,
by_cases his : i ∈ s; by_cases hjs : j ∈ s,
{ rcases hdir i his j hjs with ⟨k, hks, hik, hjk⟩,
exact ⟨k, le_supr_of_le hks (supr_le $ λ _, hik),
le_supr_of_le hks (supr_le $ λ _, hjk)⟩ },
{ exact ⟨i, le_refl _, supr_le $ hjs.elim⟩ },
{ exact ⟨j, supr_le $ his.elim, le_refl _⟩ },
{ exact ⟨⊥, supr_le $ his.elim, supr_le $ hjs.elim⟩ } },
cases this with N hzn, by_cases hns : N ∈ s,
{ have : (⨆ (H : N ∈ s), N) ≤ N := supr_le (λ _, le_refl _),
exact ⟨N, hns, this hzn⟩ },
{ have : (⨆ (H : N ∈ s), N) ≤ ⊥ := supr_le hns.elim,
cases mem_bot.1 (this hzn), exact ⟨x, H, x.zero_mem⟩ }
end
variables {p p'}
lemma mem_sup : x ∈ p ⊔ p' ↔ ∃ (y ∈ p) (z ∈ p'), y + z = x :=
⟨λ h, begin
rw [← span_eq p, ← span_eq p', ← span_union] at h,
apply span_induction h,
{ rintro y (h | h),
{ exact ⟨y, h, 0, by simp, by simp⟩ },
{ exact ⟨0, by simp, y, h, by simp⟩ } },
{ exact ⟨0, by simp, 0, by simp⟩ },
{ rintro _ _ ⟨y₁, hy₁, z₁, hz₁, rfl⟩ ⟨y₂, hy₂, z₂, hz₂, rfl⟩,
exact ⟨_, add_mem _ hy₁ hy₂, _, add_mem _ hz₁ hz₂, by simp⟩ },
{ rintro a _ ⟨y, hy, z, hz, rfl⟩,
exact ⟨_, smul_mem _ a hy, _, smul_mem _ a hz, by simp [smul_add]⟩ }
end,
by rintro ⟨y, hy, z, hz, rfl⟩; exact add_mem _
((le_sup_left : p ≤ p ⊔ p') hy)
((le_sup_right : p' ≤ p ⊔ p') hz)⟩
variables (p p')
lemma mem_span_singleton {y : β} : x ∈ span ({y} : set β) ↔ ∃ a, a • y = x :=
⟨λ h, begin
apply span_induction h,
{ rintro y (rfl|⟨⟨⟩⟩), exact ⟨1, by simp⟩ },
{ exact ⟨0, by simp⟩ },
{ rintro _ _ ⟨a, rfl⟩ ⟨b, rfl⟩,
exact ⟨a + b, by simp [add_smul]⟩ },
{ rintro a _ ⟨b, rfl⟩,
exact ⟨a * b, by simp [smul_smul]⟩ }
end,
by rintro ⟨a, y, rfl⟩; exact
smul_mem _ _ (subset_span $ by simp)⟩
lemma span_singleton_eq_range (y : β) : (span ({y} : set β) : set β) = range (• y) :=
set.ext $ λ x, mem_span_singleton
lemma mem_span_insert {y} : x ∈ span (insert y s) ↔ ∃ a (z ∈ span s), x = a • y + z :=
begin
rw [← union_singleton, span_union, mem_sup],
simp [mem_span_singleton], split,
{ rintro ⟨z, hz, _, ⟨a, rfl⟩, rfl⟩, exact ⟨a, z, hz, rfl⟩ },
{ rintro ⟨a, z, hz, rfl⟩, exact ⟨z, hz, _, ⟨a, rfl⟩, rfl⟩ }
end
lemma mem_span_insert' {y} : x ∈ span (insert y s) ↔ ∃a, x + a • y ∈ span s :=
begin
rw mem_span_insert, split,
{ rintro ⟨a, z, hz, rfl⟩, exact ⟨-a, by simp [hz]⟩ },
{ rintro ⟨a, h⟩, exact ⟨-a, _, h, by simp⟩ }
end
lemma span_insert_eq_span (h : x ∈ span s) : span (insert x s) = span s :=
span_eq_of_le _ (set.insert_subset.mpr ⟨h, subset_span⟩) (span_mono $ subset_insert _ _)
lemma span_span : span (span s : set β) = span s := span_eq _
lemma span_eq_bot : span (s : set β) = ⊥ ↔ ∀ x ∈ s, (x:β) = 0 :=
eq_bot_iff.trans ⟨
λ H x h, mem_bot.1 $ H $ subset_span h,
λ H, span_le.2 (λ x h, mem_bot.2 (H x h))⟩
lemma span_singleton_eq_bot : span ({x} : set β) = ⊥ ↔ x = 0 :=
span_eq_bot.trans $ by simp
@[simp] lemma span_image (f : β →ₗ γ) : span (f '' s) = map f (span s) :=
span_eq_of_le _ (image_subset _ subset_span) $ map_le_iff_le_comap.2 $
span_le.2 $ image_subset_iff.1 subset_span
def prod : submodule α (β × γ) :=
{ carrier := set.prod p q,
zero := ⟨zero_mem _, zero_mem _⟩,
add := by rintro ⟨x₁, y₁⟩ ⟨x₂, y₂⟩ ⟨hx₁, hy₁⟩ ⟨hx₂, hy₂⟩;
exact ⟨add_mem _ hx₁ hx₂, add_mem _ hy₁ hy₂⟩,
smul := by rintro a ⟨x, y⟩ ⟨hx, hy⟩;
exact ⟨smul_mem _ a hx, smul_mem _ a hy⟩ }
@[simp] lemma prod_coe :
(prod p q : set (β × γ)) = set.prod p q := rfl
@[simp] lemma mem_prod {p : submodule α β} {q : submodule α γ} {x : β × γ} :
x ∈ prod p q ↔ x.1 ∈ p ∧ x.2 ∈ q := set.mem_prod
lemma span_prod_le (s : set β) (t : set γ) :
span (set.prod s t) ≤ prod (span s) (span t) :=
span_le.2 $ set.prod_mono subset_span subset_span
@[simp] lemma prod_top : (prod ⊤ ⊤ : submodule α (β × γ)) = ⊤ :=
by ext; simp
@[simp] lemma prod_bot : (prod ⊥ ⊥ : submodule α (β × γ)) = ⊥ :=
by ext ⟨x, y⟩; simp [prod.zero_eq_mk]
lemma prod_mono {p p' : submodule α β} {q q' : submodule α γ} :
p ≤ p' → q ≤ q' → prod p q ≤ prod p' q' := prod_mono
@[simp] lemma prod_inf_prod : prod p q ⊓ prod p' q' = prod (p ⊓ p') (q ⊓ q') :=
ext' set.prod_inter_prod
@[simp] lemma prod_sup_prod : prod p q ⊔ prod p' q' = prod (p ⊔ p') (q ⊔ q') :=
begin
refine le_antisymm (sup_le
(prod_mono le_sup_left le_sup_left)
(prod_mono le_sup_right le_sup_right)) _,
simp [le_def'], intros xx yy hxx hyy,
rcases mem_sup.1 hxx with ⟨x, hx, x', hx', rfl⟩,
rcases mem_sup.1 hyy with ⟨y, hy, y', hy', rfl⟩,
refine mem_sup.2 ⟨(x, y), ⟨hx, hy⟩, (x', y'), ⟨hx', hy'⟩, rfl⟩
end
-- TODO(Mario): Factor through add_subgroup
def quotient_rel : setoid β :=
⟨λ x y, x - y ∈ p, λ x, by simp,
λ x y h, by simpa using neg_mem _ h,
λ x y z h₁ h₂, by simpa using add_mem _ h₁ h₂⟩
def quotient : Type* := quotient (quotient_rel p)
namespace quotient
def mk {p : submodule α β} : β → quotient p := quotient.mk'
@[simp] theorem mk_eq_mk {p : submodule α β} (x : β) : (quotient.mk x : quotient p) = mk x := rfl
@[simp] theorem mk'_eq_mk {p : submodule α β} (x : β) : (quotient.mk' x : quotient p) = mk x := rfl
@[simp] theorem quot_mk_eq_mk {p : submodule α β} (x : β) : (quot.mk _ x : quotient p) = mk x := rfl
protected theorem eq {x y : β} : (mk x : quotient p) = mk y ↔ x - y ∈ p := quotient.eq'
instance : has_zero (quotient p) := ⟨mk 0⟩
@[simp] theorem mk_zero : mk 0 = (0 : quotient p) := rfl
@[simp] theorem mk_eq_zero : (mk x : quotient p) = 0 ↔ x ∈ p :=
by simpa using (quotient.eq p : mk x = 0 ↔ _)
instance : has_add (quotient p) :=
⟨λ a b, quotient.lift_on₂' a b (λ a b, mk (a + b)) $
λ a₁ a₂ b₁ b₂ h₁ h₂, (quotient.eq p).2 $ by simpa using add_mem p h₁ h₂⟩
@[simp] theorem mk_add : (mk (x + y) : quotient p) = mk x + mk y := rfl
instance : has_neg (quotient p) :=
⟨λ a, quotient.lift_on' a (λ a, mk (-a)) $
λ a b h, (quotient.eq p).2 $ by simpa using neg_mem p h⟩
@[simp] theorem mk_neg : (mk (-x) : quotient p) = -mk x := rfl
instance : add_comm_group (quotient p) :=
by refine {zero := 0, add := (+), neg := has_neg.neg, ..};
repeat {rintro ⟨⟩};
simp [-mk_zero, (mk_zero p).symm, -mk_add, (mk_add p).symm, -mk_neg, (mk_neg p).symm]
instance : has_scalar α (quotient p) :=
⟨λ a x, quotient.lift_on' x (λ x, mk (a • x)) $
λ x y h, (quotient.eq p).2 $ by simpa [smul_add] using smul_mem p a h⟩
@[simp] theorem mk_smul : (mk (r • x) : quotient p) = r • mk x := rfl
instance : module α (quotient p) :=
module.of_core $ by refine {smul := (•), ..};
repeat {rintro ⟨⟩ <|> intro}; simp [smul_add, add_smul, smul_smul,
-mk_add, (mk_add p).symm, -mk_smul, (mk_smul p).symm]
instance {α β} {R:discrete_field α} [add_comm_group β] [vector_space α β]
(p : submodule α β) : vector_space α (quotient p) := {}
end quotient
end submodule
namespace linear_map
variables [ring α] [add_comm_group β] [add_comm_group γ] [add_comm_group δ]
variables [module α β] [module α γ] [module α δ]
include α
open submodule
@[simp] lemma finsupp_sum {α β γ δ} [ring α] [add_comm_group β] [module α β]
[add_comm_group γ] [module α γ] [has_zero δ]
(f : β →ₗ γ) {t : ι →₀ δ} {g : ι → δ → β} :
f (t.sum g) = t.sum (λi d, f (g i d)) := f.map_sum
theorem map_cod_restrict (p : submodule α β) (f : γ →ₗ β) (h p') :
submodule.map (cod_restrict p f h) p' = comap p.subtype (p'.map f) :=
submodule.ext $ λ ⟨x, hx⟩, by simp [subtype.coe_ext]
theorem comap_cod_restrict (p : submodule α β) (f : γ →ₗ β) (hf p') :
submodule.comap (cod_restrict p f hf) p' = submodule.comap f (map p.subtype p') :=
submodule.ext $ λ x, ⟨λ h, ⟨⟨_, hf x⟩, h, rfl⟩, by rintro ⟨⟨_, _⟩, h, ⟨⟩⟩; exact h⟩
def range (f : β →ₗ γ) : submodule α γ := map f ⊤
theorem range_coe (f : β →ₗ γ) : (range f : set γ) = set.range f := set.image_univ
@[simp] theorem mem_range {f : β →ₗ γ} : ∀ {x}, x ∈ range f ↔ ∃ y, f y = x :=
(set.ext_iff _ _).1 (range_coe f).
@[simp] theorem range_id : range (linear_map.id : β →ₗ β) = ⊤ := map_id _
theorem range_comp (f : β →ₗ γ) (g : γ →ₗ δ) : range (g.comp f) = map g (range f) :=
map_comp _ _ _
theorem range_comp_le_range (f : β →ₗ γ) (g : γ →ₗ δ) : range (g.comp f) ≤ range g :=
by rw range_comp; exact map_mono le_top
theorem range_eq_top {f : β →ₗ γ} : range f = ⊤ ↔ surjective f :=
by rw [← submodule.ext'_iff, range_coe, top_coe, set.range_iff_surjective]
lemma range_le_iff_comap {f : β →ₗ γ} {p : submodule α γ} : range f ≤ p ↔ comap f p = ⊤ :=
by rw [range, map_le_iff_le_comap, eq_top_iff]
def ker (f : β →ₗ γ) : submodule α β := comap f ⊥
@[simp] theorem mem_ker {f : β →ₗ γ} {y} : y ∈ ker f ↔ f y = 0 := mem_bot
@[simp] theorem ker_id : ker (linear_map.id : β →ₗ β) = ⊥ := rfl
theorem ker_comp (f : β →ₗ γ) (g : γ →ₗ δ) : ker (g.comp f) = comap f (ker g) := rfl
theorem ker_le_ker_comp (f : β →ₗ γ) (g : γ →ₗ δ) : ker f ≤ ker (g.comp f) :=
by rw ker_comp; exact comap_mono bot_le
theorem sub_mem_ker_iff {f : β →ₗ γ} {x y} : x - y ∈ f.ker ↔ f x = f y :=
by rw [mem_ker, map_sub, sub_eq_zero]
theorem disjoint_ker {f : β →ₗ γ} {p : submodule α β} :
disjoint p (ker f) ↔ ∀ x ∈ p, f x = 0 → x = 0 :=
by simp [disjoint_def]
theorem disjoint_ker' {f : β →ₗ γ} {p : submodule α β} :
disjoint p (ker f) ↔ ∀ x y ∈ p, f x = f y → x = y :=
disjoint_ker.trans
⟨λ H x y hx hy h, eq_of_sub_eq_zero $ H _ (sub_mem _ hx hy) (by simp [h]),
λ H x h₁ h₂, H x 0 h₁ (zero_mem _) (by simpa using h₂)⟩
theorem inj_of_disjoint_ker {f : β →ₗ γ} {p : submodule α β}
{s : set β} (h : s ⊆ p) (hd : disjoint p (ker f)) :
∀ x y ∈ s, f x = f y → x = y :=
λ x y hx hy, disjoint_ker'.1 hd _ _ (h hx) (h hy)
theorem ker_eq_bot {f : β →ₗ γ} : ker f = ⊥ ↔ injective f :=
by simpa [disjoint] using @disjoint_ker' _ _ _ _ _ _ _ _ f ⊤
lemma le_ker_iff_map {f : β →ₗ γ} {p : submodule α β} : p ≤ ker f ↔ map f p = ⊥ :=
by rw [ker, eq_bot_iff, map_le_iff_le_comap]
lemma map_comap_eq (f : β →ₗ γ) (q : submodule α γ) :
map f (comap f q) = range f ⊓ q :=
le_antisymm (le_inf (map_mono le_top) (map_comap_le _ _)) $
by rintro _ ⟨⟨x, _, rfl⟩, hx⟩; exact ⟨x, hx, rfl⟩
lemma map_comap_eq_self {f : β →ₗ γ} {q : submodule α γ} (h : q ≤ range f) :
map f (comap f q) = q :=
by rw [map_comap_eq, inf_of_le_right h]
lemma comap_map_eq (f : β →ₗ γ) (p : submodule α β) :
comap f (map f p) = p ⊔ ker f :=
begin
refine le_antisymm _ (sup_le (le_comap_map _ _) (comap_mono bot_le)),
rintro x ⟨y, hy, e⟩,
exact mem_sup.2 ⟨y, hy, x - y, by simpa using sub_eq_zero.2 e.symm, by simp⟩
end
lemma comap_map_eq_self {f : β →ₗ γ} {p : submodule α β} (h : ker f ≤ p) :
comap f (map f p) = p :=
by rw [comap_map_eq, sup_of_le_left h]
@[simp] theorem ker_zero : ker (0 : β →ₗ γ) = ⊤ :=
eq_top_iff'.2 $ λ x, by simp
theorem ker_eq_top {f : β →ₗ γ} : ker f = ⊤ ↔ f = 0 :=
⟨λ h, ext $ λ x, mem_ker.1 $ h.symm ▸ trivial, λ h, h.symm ▸ ker_zero⟩
theorem map_le_map_iff {f : β →ₗ γ} (hf : ker f = ⊥) {p p'} : map f p ≤ map f p' ↔ p ≤ p' :=
⟨λ H x hx, let ⟨y, hy, e⟩ := H ⟨x, hx, rfl⟩ in ker_eq_bot.1 hf e ▸ hy, map_mono⟩
theorem map_injective {f : β →ₗ γ} (hf : ker f = ⊥) : injective (map f) :=
λ p p' h, le_antisymm ((map_le_map_iff hf).1 (le_of_eq h)) ((map_le_map_iff hf).1 (ge_of_eq h))
theorem comap_le_comap_iff {f : β →ₗ γ} (hf : range f = ⊤) {p p'} : comap f p ≤ comap f p' ↔ p ≤ p' :=
⟨λ H x hx, by rcases range_eq_top.1 hf x with ⟨y, hy, rfl⟩; exact H hx, comap_mono⟩
theorem comap_injective {f : β →ₗ γ} (hf : range f = ⊤) : injective (comap f) :=
λ p p' h, le_antisymm ((comap_le_comap_iff hf).1 (le_of_eq h)) ((comap_le_comap_iff hf).1 (ge_of_eq h))
theorem map_copair_prod (f : β →ₗ δ) (g : γ →ₗ δ) (p : submodule α β) (q : submodule α γ) :
map (copair f g) (p.prod q) = map f p ⊔ map g q :=
begin
refine le_antisymm _ (sup_le (map_le_iff_le_comap.2 _) (map_le_iff_le_comap.2 _)),
{ rw le_def', rintro _ ⟨x, ⟨h₁, h₂⟩, rfl⟩,
exact mem_sup.2 ⟨_, ⟨_, h₁, rfl⟩, _, ⟨_, h₂, rfl⟩, rfl⟩ },
{ exact λ x hx, ⟨(x, 0), by simp [hx]⟩ },
{ exact λ x hx, ⟨(0, x), by simp [hx]⟩ }
end
theorem comap_pair_prod (f : β →ₗ γ) (g : β →ₗ δ) (p : submodule α γ) (q : submodule α δ) :
comap (pair f g) (p.prod q) = comap f p ⊓ comap g q :=
submodule.ext $ λ x, iff.rfl
theorem prod_eq_inf_comap (p : submodule α β) (q : submodule α γ) :
p.prod q = p.comap (linear_map.fst β γ) ⊓ q.comap (linear_map.snd β γ) :=
submodule.ext $ λ x, iff.rfl
theorem prod_eq_sup_map (p : submodule α β) (q : submodule α γ) :
p.prod q = p.map (linear_map.inl β γ) ⊔ q.map (linear_map.inr β γ) :=
by rw [← map_copair_prod, copair_inl_inr, map_id]
lemma span_inl_union_inr {s : set β} {t : set γ} :
span (prod.inl '' s ∪ prod.inr '' t) = (span s).prod (span t) :=
by rw [span_union, prod_eq_sup_map, ← span_image, ← span_image]; refl
end linear_map
namespace submodule
variables {R:ring α} [add_comm_group β] [add_comm_group γ] [module α β] [module α γ]
variables (p p' : submodule α β) (q : submodule α γ)
include R
open linear_map
@[simp] theorem map_top (f : β →ₗ γ) : map f ⊤ = range f := rfl
@[simp] theorem comap_bot (f : β →ₗ γ) : comap f ⊥ = ker f := rfl
@[simp] theorem ker_subtype : p.subtype.ker = ⊥ :=
ker_eq_bot.2 $ λ x y, subtype.eq'
@[simp] theorem range_subtype : p.subtype.range = p :=
by simpa using map_comap_subtype p ⊤
lemma map_subtype_le (p' : submodule α p) : map p.subtype p' ≤ p :=
by simpa using (map_mono le_top : map p.subtype p' ≤ p.subtype.range)
/-- If N ⊆ M then submodules of N are the same as submodules of M contained in N -/
def map_subtype.order_iso :
((≤) : submodule α p → submodule α p → Prop) ≃o
((≤) : {p' : submodule α β // p' ≤ p} → {p' : submodule α β // p' ≤ p} → Prop) :=
{ to_fun := λ p', ⟨map p.subtype p', map_subtype_le p _⟩,
inv_fun := λ q, comap p.subtype q,
left_inv := λ p', comap_map_eq_self $ by simp,
right_inv := λ ⟨q, hq⟩, subtype.eq' $ by simp [map_comap_subtype p, inf_of_le_right hq],
ord := λ p₁ p₂, (map_le_map_iff $ ker_subtype _).symm }
def map_subtype.le_order_embedding :
((≤) : submodule α p → submodule α p → Prop) ≼o ((≤) : submodule α β → submodule α β → Prop) :=
(order_iso.to_order_embedding $ map_subtype.order_iso p).trans (subtype.order_embedding _ _)
@[simp] lemma map_subtype_embedding_eq (p' : submodule α p) :
map_subtype.le_order_embedding p p' = map p.subtype p' := rfl
def map_subtype.lt_order_embedding :
((<) : submodule α p → submodule α p → Prop) ≼o ((<) : submodule α β → submodule α β → Prop) :=
(map_subtype.le_order_embedding p).lt_embedding_of_le_embedding
@[simp] theorem map_inl : p.map (inl β γ) = prod p ⊥ :=
by ext ⟨x, y⟩; simp [and.left_comm, eq_comm]
@[simp] theorem map_inr : q.map (inr β γ) = prod ⊥ q :=
by ext ⟨x, y⟩; simp [and.left_comm, eq_comm]
@[simp] theorem comap_fst : p.comap (fst β γ) = prod p ⊤ :=
by ext ⟨x, y⟩; simp
@[simp] theorem comap_snd : q.comap (snd β γ) = prod ⊤ q :=
by ext ⟨x, y⟩; simp
@[simp] theorem prod_comap_inl : (prod p q).comap (inl β γ) = p := by ext; simp
@[simp] theorem prod_comap_inr : (prod p q).comap (inr β γ) = q := by ext; simp
@[simp] theorem prod_map_fst : (prod p q).map (fst β γ) = p :=
by ext x; simp [(⟨0, zero_mem _⟩ : ∃ x, x ∈ q)]
@[simp] theorem prod_map_snd : (prod p q).map (snd β γ) = q :=
by ext x; simp [(⟨0, zero_mem _⟩ : ∃ x, x ∈ p)]
@[simp] theorem ker_inl : (inl β γ).ker = ⊥ :=
by rw [ker, ← prod_bot, prod_comap_inl]
@[simp] theorem ker_inr : (inr β γ).ker = ⊥ :=
by rw [ker, ← prod_bot, prod_comap_inr]
@[simp] theorem range_fst : (fst β γ).range = ⊤ :=
by rw [range, ← prod_top, prod_map_fst]
@[simp] theorem range_snd : (snd β γ).range = ⊤ :=
by rw [range, ← prod_top, prod_map_snd]
def mkq : β →ₗ p.quotient := ⟨quotient.mk, by simp, by simp⟩
@[simp] theorem mkq_apply (x : β) : p.mkq x = quotient.mk x := rfl
def liftq (f : β →ₗ γ) (h : p ≤ f.ker) : p.quotient →ₗ γ :=
⟨λ x, _root_.quotient.lift_on' x f $
λ a b (ab : a - b ∈ p), eq_of_sub_eq_zero $ by simpa using h ab,
by rintro ⟨x⟩ ⟨y⟩; exact map_add f x y,
by rintro a ⟨x⟩; exact map_smul f a x⟩
@[simp] theorem liftq_apply (f : β →ₗ γ) {h} (x : β) :
p.liftq f h (quotient.mk x) = f x := rfl
@[simp] theorem liftq_mkq (f : β →ₗ γ) (h) : (p.liftq f h).comp p.mkq = f :=
by ext; refl
@[simp] theorem range_mkq : p.mkq.range = ⊤ :=
eq_top_iff'.2 $ by rintro ⟨x⟩; exact ⟨x, trivial, rfl⟩
@[simp] theorem ker_mkq : p.mkq.ker = p :=
by ext; simp
lemma le_comap_mkq (p' : submodule α p.quotient) : p ≤ comap p.mkq p' :=
by simpa using (comap_mono bot_le : p.mkq.ker ≤ comap p.mkq p')
@[simp] theorem mkq_map_self : map p.mkq p = ⊥ :=
by rw [eq_bot_iff, map_le_iff_le_comap, comap_bot, ker_mkq]; exact le_refl _
@[simp] theorem comap_map_mkq : comap p.mkq (map p.mkq p') = p ⊔ p' :=
by simp [comap_map_eq, sup_comm]
def mapq (f : β →ₗ γ) (h : p ≤ comap f q) : p.quotient →ₗ q.quotient :=
p.liftq (q.mkq.comp f) $ by simpa [ker_comp] using h
@[simp] theorem mapq_apply (f : β →ₗ γ) {h} (x : β) :
mapq p q f h (quotient.mk x) = quotient.mk (f x) := rfl
theorem mapq_mkq (f : β →ₗ γ) {h} : (mapq p q f h).comp p.mkq = q.mkq.comp f :=
by ext x; refl
theorem comap_liftq (f : β →ₗ γ) (h) :
q.comap (p.liftq f h) = (q.comap f).map (mkq p) :=
le_antisymm
(by rintro ⟨x⟩ hx; exact ⟨_, hx, rfl⟩)
(by rw [map_le_iff_le_comap, ← comap_comp, liftq_mkq]; exact le_refl _)
theorem ker_liftq (f : β →ₗ γ) (h) :
ker (p.liftq f h) = (ker f).map (mkq p) := comap_liftq _ _ _ _
theorem ker_liftq_eq_bot (f : β →ₗ γ) (h) (h' : ker f = p) : ker (p.liftq f h) = ⊥ :=
by rw [ker_liftq, h', mkq_map_self]
/-- Correspondence Theorem -/
def comap_mkq.order_iso :
((≤) : submodule α p.quotient → submodule α p.quotient → Prop) ≃o
((≤) : {p' : submodule α β // p ≤ p'} → {p' : submodule α β // p ≤ p'} → Prop) :=
{ to_fun := λ p', ⟨comap p.mkq p', le_comap_mkq p _⟩,
inv_fun := λ q, map p.mkq q,
left_inv := λ p', map_comap_eq_self $ by simp,
right_inv := λ ⟨q, hq⟩, subtype.eq' $ by simp [comap_map_mkq p, sup_of_le_right hq],
ord := λ p₁ p₂, (comap_le_comap_iff $ range_mkq _).symm }
def comap_mkq.le_order_embedding :
((≤) : submodule α p.quotient → submodule α p.quotient → Prop) ≼o ((≤) : submodule α β → submodule α β → Prop) :=
(order_iso.to_order_embedding $ comap_mkq.order_iso p).trans (subtype.order_embedding _ _)
@[simp] lemma comap_mkq_embedding_eq (p' : submodule α p.quotient) :
comap_mkq.le_order_embedding p p' = comap p.mkq p' := rfl
def comap_mkq.lt_order_embedding :
((<) : submodule α p.quotient → submodule α p.quotient → Prop) ≼o ((<) : submodule α β → submodule α β → Prop) :=
(comap_mkq.le_order_embedding p).lt_embedding_of_le_embedding
end submodule
section
set_option old_structure_cmd true
structure linear_equiv {α : Type u} (β : Type v) (γ : Type w)
[ring α] [add_comm_group β] [add_comm_group γ] [module α β] [module α γ]
extends β →ₗ γ, β ≃ γ
end
infix ` ≃ₗ ` := linear_equiv
namespace linear_equiv
section ring
variables [ring α] [add_comm_group β] [add_comm_group γ] [add_comm_group δ]
variables [module α β] [module α γ] [module α δ]
include α
section
variable (β)
def refl : β ≃ₗ β := { .. linear_map.id, .. equiv.refl β }
end
def symm (e : β ≃ₗ γ) : γ ≃ₗ β :=
{ .. e.to_linear_map.inverse e.inv_fun e.left_inv e.right_inv,
.. e.to_equiv.symm }
def trans (e₁ : β ≃ₗ γ) (e₂ : γ ≃ₗ δ) : β ≃ₗ δ :=
{ .. e₂.to_linear_map.comp e₁.to_linear_map,
.. e₁.to_equiv.trans e₂.to_equiv }
instance : has_coe (β ≃ₗ γ) (β →ₗ γ) := ⟨to_linear_map⟩
@[simp] theorem apply_symm_apply (e : β ≃ₗ γ) (c : γ) : e (e.symm c) = c := e.6 c
@[simp] theorem symm_apply_apply (e : β ≃ₗ γ) (b : β) : e.symm (e b) = b := e.5 b
@[simp] theorem coe_apply (e : β ≃ₗ γ) (b : β) : (e : β →ₗ γ) b = e b := rfl
noncomputable def of_bijective
(f : β →ₗ γ) (hf₁ : f.ker = ⊥) (hf₂ : f.range = ⊤) : β ≃ₗ γ :=
{ ..f, ..@equiv.of_bijective _ _ f
⟨linear_map.ker_eq_bot.1 hf₁, linear_map.range_eq_top.1 hf₂⟩ }
@[simp] theorem of_bijective_apply (f : β →ₗ γ) {hf₁ hf₂} (x : β) :
of_bijective f hf₁ hf₂ x = f x := rfl
def of_linear (f : β →ₗ γ) (g : γ →ₗ β)
(h₁ : f.comp g = linear_map.id) (h₂ : g.comp f = linear_map.id) : β ≃ₗ γ :=
{ inv_fun := g,
left_inv := linear_map.ext_iff.1 h₂,
right_inv := linear_map.ext_iff.1 h₁,
..f }
@[simp] theorem of_linear_apply (f : β →ₗ γ) (g : γ →ₗ β) {h₁ h₂}
(x : β) : of_linear f g h₁ h₂ x = f x := rfl
@[simp] theorem of_linear_symm_apply (f : β →ₗ γ) (g : γ →ₗ β) {h₁ h₂}
(x : γ) : (of_linear f g h₁ h₂).symm x = g x := rfl
@[simp] protected theorem ker (f : β ≃ₗ γ) : (f : β →ₗ γ).ker = ⊥ :=
linear_map.ker_eq_bot.2 f.to_equiv.bijective.1
@[simp] protected theorem range (f : β ≃ₗ γ) : (f : β →ₗ γ).range = ⊤ :=
linear_map.range_eq_top.2 f.to_equiv.bijective.2
def of_top (p : submodule α β) (h : p = ⊤) : p ≃ₗ β :=
{ inv_fun := λ x, ⟨x, h.symm ▸ trivial⟩,
left_inv := λ ⟨x, h⟩, rfl,
right_inv := λ x, rfl,
.. p.subtype }
@[simp] theorem of_top_apply (p : submodule α β) {h} (x : p) :
of_top p h x = x := rfl
@[simp] theorem of_top_symm_apply (p : submodule α β) {h} (x : β) :
↑((of_top p h).symm x) = x := rfl
end ring
section comm_ring
variables [comm_ring α] [add_comm_group β] [add_comm_group γ] [add_comm_group δ]
variables [module α β] [module α γ] [module α δ]
include α
def congr_right (f : γ ≃ₗ δ) : (β →ₗ γ) ≃ₗ (β →ₗ δ) :=
of_linear
f.to_linear_map.congr_right
f.symm.to_linear_map.congr_right
(linear_map.ext $ λ _, linear_map.ext $ λ _, f.6 _)
(linear_map.ext $ λ _, linear_map.ext $ λ _, f.5 _)
end comm_ring
end linear_equiv
namespace linear_map
variables [ring α] [add_comm_group β] [add_comm_group γ] [add_comm_group δ]
variables [module α β] [module α γ] [module α δ]
variables (f : β →ₗ γ)
/-- First Isomorphism Law -/
noncomputable def quot_ker_equiv_range : f.ker.quotient ≃ₗ f.range :=
have hr : ∀ x : f.range, ∃ y, f y = ↑x := λ x, x.2.imp $ λ _, and.right,
let F : f.ker.quotient →ₗ f.range :=
f.ker.liftq (cod_restrict f.range f $ λ x, ⟨x, trivial, rfl⟩)
(λ x hx, by simp; apply subtype.coe_ext.2; simpa using hx) in
{ inv_fun := λx, submodule.quotient.mk (classical.some (hr x)),
left_inv := by rintro ⟨x⟩; exact
(submodule.quotient.eq _).2 (sub_mem_ker_iff.2 $
classical.some_spec $ hr $ F $ submodule.quotient.mk x),
right_inv := λ x : range f, subtype.eq $ classical.some_spec (hr x),
.. F }
open submodule
/-- Second Isomorphism Law -/
noncomputable def sup_quotient_equiv_quotient_inf (p p' : submodule α β) :
(comap p.subtype (p ⊓ p')).quotient ≃ₗ
(comap (p ⊔ p').subtype p').quotient :=
begin
let F : (comap p.subtype (p ⊓ p')).quotient →ₗ
(comap (p ⊔ p').subtype p').quotient :=
(comap p.subtype (p ⊓ p')).liftq
((comap (p ⊔ p').subtype p').mkq.comp (of_le le_sup_left)) begin
rw [ker_comp, of_le, comap_cod_restrict, ker_mkq, map_comap_subtype],
exact comap_mono (inf_le_inf le_sup_left (le_refl _)),
end,
have hsup : ∀ x : p ⊔ p', ∃ y : p, ↑x - ↑y ∈ p',
{ rintro ⟨x, hx⟩,
rcases mem_sup.1 hx with ⟨y, hy, z, hz, rfl⟩,
exact ⟨⟨y, hy⟩, by simp [hz]⟩ },
let G := λ x, classical.some (hsup x),
have hG : ∀ x : p ⊔ p', ↑x - ↑(G x) ∈ p' :=
λ x, classical.some_spec (hsup x),
refine {
to_fun := F,
inv_fun := λ q, quotient.lift_on' q (λ x, submodule.quotient.mk (G x)) _,
..F, .. },
{ refine λ x y h, (submodule.quotient.eq _).2 ⟨(G x - G y : p).2, _⟩,
simpa using add_mem _ (sub_mem p' h (hG x)) (hG y) },
{ rintro ⟨x⟩,
refine ((submodule.quotient.eq _).2 _).symm,
exact ⟨(x - G _ : p).2, hG ⟨↑x, _⟩⟩ },
{ rintro ⟨x⟩, refine (quot.sound _).symm, exact hG x }
end
end linear_map
|
ff2a400fc6b735e33194ae2dcbb7322bd7cbd2fe | 88892181780ff536a81e794003fe058062f06758 | /src/100_theorems/t001.lean | ea287eb56b376967f0bf09fe183554be46d974be | [] | 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 | 98 | lean | import data.real.irrational
theorem t001 : irrational (real.sqrt 2) :=
irr_sqrt_two
#print t001
|
16e599eeba83e7f66e1b0f75d7c82715157082e0 | 07c6143268cfb72beccd1cc35735d424ebcb187b | /src/category_theory/limits/shapes/equalizers.lean | f5a13b0cbe1956bf8b2815001de0c33e32913636 | [
"Apache-2.0"
] | permissive | khoek/mathlib | bc49a842910af13a3c372748310e86467d1dc766 | aa55f8b50354b3e11ba64792dcb06cccb2d8ee28 | refs/heads/master | 1,588,232,063,837 | 1,587,304,803,000 | 1,587,304,803,000 | 176,688,517 | 0 | 0 | Apache-2.0 | 1,553,070,585,000 | 1,553,070,585,000 | null | UTF-8 | Lean | false | false | 29,206 | lean | /-
Copyright (c) 2018 Scott Morrison. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Scott Morrison, Markus Himmel
-/
import data.fintype.basic
import category_theory.epi_mono
import category_theory.limits.limits
import category_theory.limits.shapes.finite_limits
/-!
# Equalizers and coequalizers
This file defines (co)equalizers as special cases of (co)limits.
An equalizer is the categorical generalization of the subobject {a ∈ A | f(a) = g(a)} known
from abelian groups or modules. It is a limit cone over the diagram formed by `f` and `g`.
A coequalizer is the dual concept.
## Main definitions
* `walking_parallel_pair` is the indexing category used for (co)equalizer_diagrams
* `parallel_pair` is a functor from `walking_parallel_pair` to our category `C`.
* a `fork` is a cone over a parallel pair.
* there is really only one interesting morphism in a fork: the arrow from the vertex of the fork
to the domain of f and g. It is called `fork.ι`.
* an `equalizer` is now just a `limit (parallel_pair f g)`
Each of these has a dual.
## Main statements
* `equalizer.ι_mono` states that every equalizer map is a monomorphism
* `is_limit_cone_parallel_pair_self` states that the identity on the domain of `f` is an equalizer
of `f` and `f`.
## Implementation notes
As with the other special shapes in the limits library, all the definitions here are given as
`abbreviation`s of the general statements for limits, so all the `simp` lemmas and theorems about
general limits can be used.
## References
* [F. Borceux, *Handbook of Categorical Algebra 1*][borceux-vol1]
-/
open category_theory
namespace category_theory.limits
local attribute [tidy] tactic.case_bash
universes v u
/-- The type of objects for the diagram indexing a (co)equalizer. -/
@[derive decidable_eq, derive inhabited] inductive walking_parallel_pair : Type v
| zero | one
instance fintype_walking_parallel_pair : fintype walking_parallel_pair :=
{ elems := [walking_parallel_pair.zero, walking_parallel_pair.one].to_finset,
complete := λ x, by { cases x; simp } }
open walking_parallel_pair
/-- The type family of morphisms for the diagram indexing a (co)equalizer. -/
@[derive decidable_eq] inductive walking_parallel_pair_hom :
walking_parallel_pair → walking_parallel_pair → Type v
| left : walking_parallel_pair_hom zero one
| right : walking_parallel_pair_hom zero one
| id : Π X : walking_parallel_pair.{v}, walking_parallel_pair_hom X X
/-- Satisfying the inhabited linter -/
instance : inhabited (walking_parallel_pair_hom zero one) :=
{ default := walking_parallel_pair_hom.left }
open walking_parallel_pair_hom
instance (j j' : walking_parallel_pair) : fintype (walking_parallel_pair_hom j j') :=
{ elems := walking_parallel_pair.rec_on j
(walking_parallel_pair.rec_on j' [walking_parallel_pair_hom.id zero].to_finset
[left, right].to_finset)
(walking_parallel_pair.rec_on j' ∅ [walking_parallel_pair_hom.id one].to_finset),
complete := by tidy }
/-- Composition of morphisms in the indexing diagram for (co)equalizers. -/
def walking_parallel_pair_hom.comp :
Π (X Y Z : walking_parallel_pair)
(f : walking_parallel_pair_hom X Y) (g : walking_parallel_pair_hom Y Z),
walking_parallel_pair_hom X Z
| _ _ _ (id _) h := h
| _ _ _ left (id one) := left
| _ _ _ right (id one) := right
.
instance walking_parallel_pair_hom_category : small_category.{v} walking_parallel_pair :=
{ hom := walking_parallel_pair_hom,
id := walking_parallel_pair_hom.id,
comp := walking_parallel_pair_hom.comp }
instance : fin_category.{v} walking_parallel_pair.{v} := { }
@[simp]
lemma walking_parallel_pair_hom_id (X : walking_parallel_pair.{v}) :
walking_parallel_pair_hom.id X = 𝟙 X :=
rfl
variables {C : Type u} [𝒞 : category.{v} C]
include 𝒞
variables {X Y : C}
/-- `parallel_pair f g` is the diagram in `C` consisting of the two morphisms `f` and `g` with
common domain and codomain. -/
def parallel_pair (f g : X ⟶ Y) : walking_parallel_pair.{v} ⥤ C :=
{ obj := λ x, match x with
| zero := X
| one := Y
end,
map := λ x y h, match x, y, h with
| _, _, (id _) := 𝟙 _
| _, _, left := f
| _, _, right := g
end,
-- `tidy` can cope with this, but it's too slow:
map_comp' := begin rintros (⟨⟩|⟨⟩) (⟨⟩|⟨⟩) (⟨⟩|⟨⟩) ⟨⟩⟨⟩; { unfold_aux, simp; refl }, end, }.
@[simp] lemma parallel_pair_obj_zero (f g : X ⟶ Y) : (parallel_pair f g).obj zero = X := rfl
@[simp] lemma parallel_pair_obj_one (f g : X ⟶ Y) : (parallel_pair f g).obj one = Y := rfl
@[simp] lemma parallel_pair_map_left (f g : X ⟶ Y) : (parallel_pair f g).map left = f := rfl
@[simp] lemma parallel_pair_map_right (f g : X ⟶ Y) : (parallel_pair f g).map right = g := rfl
@[simp] lemma parallel_pair_functor_obj
{F : walking_parallel_pair.{v} ⥤ C} (j : walking_parallel_pair.{v}) :
(parallel_pair (F.map left) (F.map right)).obj j = F.obj j :=
begin
cases j; refl
end
/-- Every functor indexing a (co)equalizer is naturally isomorphic (actually, equal) to a
`parallel_pair` -/
def diagram_iso_parallel_pair (F : walking_parallel_pair.{v} ⥤ C) :
F ≅ parallel_pair (F.map left) (F.map right) :=
nat_iso.of_components (λ j, eq_to_iso $ by cases j; tidy) $ by tidy
/-- A fork on `f` and `g` is just a `cone (parallel_pair f g)`. -/
abbreviation fork (f g : X ⟶ Y) := cone (parallel_pair f g)
/-- A cofork on `f` and `g` is just a `cocone (parallel_pair f g)`. -/
abbreviation cofork (f g : X ⟶ Y) := cocone (parallel_pair f g)
variables {f g : X ⟶ Y}
@[simp, reassoc] lemma fork.app_zero_left (s : fork f g) :
(s.π).app zero ≫ f = (s.π).app one :=
by rw [←s.w left, parallel_pair_map_left]
@[simp, reassoc] lemma fork.app_zero_right (s : fork f g) :
(s.π).app zero ≫ g = (s.π).app one :=
by rw [←s.w right, parallel_pair_map_right]
@[simp, reassoc] lemma cofork.left_app_one (s : cofork f g) :
f ≫ (s.ι).app one = (s.ι).app zero :=
by rw [←s.w left, parallel_pair_map_left]
@[simp, reassoc] lemma cofork.right_app_one (s : cofork f g) :
g ≫ (s.ι).app one = (s.ι).app zero :=
by rw [←s.w right, parallel_pair_map_right]
/-- A fork on `f g : X ⟶ Y` is determined by the morphism `ι : P ⟶ X` satisfying `ι ≫ f = ι ≫ g`.
-/
def fork.of_ι {P : C} (ι : P ⟶ X) (w : ι ≫ f = ι ≫ g) : fork f g :=
{ X := P,
π :=
{ app := λ X, begin cases X, exact ι, exact ι ≫ f, end,
naturality' := λ X Y f,
begin
cases X; cases Y; cases f; dsimp; simp,
{ dsimp, simp, }, -- TODO If someone could decipher why these aren't done on the previous line, that would be great
{ exact w },
{ dsimp, simp, }, -- TODO idem
end } }
/-- A cofork on `f g : X ⟶ Y` is determined by the morphism `π : Y ⟶ P` satisfying
`f ≫ π = g ≫ π`. -/
def cofork.of_π {P : C} (π : Y ⟶ P) (w : f ≫ π = g ≫ π) : cofork f g :=
{ X := P,
ι :=
{ app := λ X, begin cases X, exact f ≫ π, exact π, end,
naturality' := λ X Y f,
begin
cases X; cases Y; cases f; dsimp; simp,
{ dsimp, simp, }, -- TODO idem
{ exact w.symm },
{ dsimp, simp, }, -- TODO idem
end } }
@[simp] lemma fork.of_ι_app_zero {P : C} (ι : P ⟶ X) (w : ι ≫ f = ι ≫ g) :
(fork.of_ι ι w).π.app zero = ι := rfl
@[simp] lemma fork.of_ι_app_one {P : C} (ι : P ⟶ X) (w : ι ≫ f = ι ≫ g) :
(fork.of_ι ι w).π.app one = ι ≫ f := rfl
@[simp] lemma cofork.of_π_app_zero {P : C} (π : Y ⟶ P) (w : f ≫ π = g ≫ π) :
(cofork.of_π π w).ι.app zero = f ≫ π := rfl
@[simp] lemma cofork.of_π_app_one {P : C} (π : Y ⟶ P) (w : f ≫ π = g ≫ π) :
(cofork.of_π π w).ι.app one = π := rfl
/-- A fork `t` on the parallel pair `f g : X ⟶ Y` consists of two morphisms `t.π.app zero : t.X ⟶ X`
and `t.π.app one : t.X ⟶ Y`. Of these, only the first one is interesting, and we give it the
shorter name `fork.ι t`. -/
abbreviation fork.ι (t : fork f g) := t.π.app zero
/-- A cofork `t` on the parallel_pair `f g : X ⟶ Y` consists of two morphisms
`t.ι.app zero : X ⟶ t.X` and `t.ι.app one : Y ⟶ t.X`. Of these, only the second one is
interesting, and we give it the shorter name `cofork.π t`. -/
abbreviation cofork.π (t : cofork f g) := t.ι.app one
lemma fork.condition (t : fork f g) : (fork.ι t) ≫ f = (fork.ι t) ≫ g :=
begin
erw [t.w left, ← t.w right], refl
end
lemma cofork.condition (t : cofork f g) : f ≫ (cofork.π t) = g ≫ (cofork.π t) :=
begin
erw [t.w left, ← t.w right], refl
end
/-- To check whether two maps are equalized by both maps of a fork, it suffices to check it for the
first map -/
lemma fork.equalizer_ext (s : fork f g) {W : C} {k l : W ⟶ s.X}
(h : k ≫ fork.ι s = l ≫ fork.ι s) : ∀ (j : walking_parallel_pair),
k ≫ s.π.app j = l ≫ s.π.app j
| zero := h
| one := by rw [←fork.app_zero_left, reassoc_of h]
/-- To check whether two maps are coequalized by both maps of a cofork, it suffices to check it for
the second map -/
lemma cofork.coequalizer_ext (s : cofork f g) {W : C} {k l : s.X ⟶ W}
(h : cofork.π s ≫ k = cofork.π s ≫ l) : ∀ (j : walking_parallel_pair),
s.ι.app j ≫ k = s.ι.app j ≫ l
| zero := by simp only [←cofork.left_app_one, category.assoc, h]
| one := h
lemma fork.is_limit.hom_ext {s : fork f g} (hs : is_limit s) {W : C} {k l : W ⟶ s.X}
(h : k ≫ fork.ι s = l ≫ fork.ι s) : k = l :=
hs.hom_ext $ fork.equalizer_ext _ h
lemma cofork.is_colimit.hom_ext {s : cofork f g} (hs : is_colimit s) {W : C} {k l : s.X ⟶ W}
(h : cofork.π s ≫ k = cofork.π s ≫ l) : k = l :=
hs.hom_ext $ cofork.coequalizer_ext _ h
/-- If `s` is a limit fork over `f` and `g`, then a morphism `k : W ⟶ X` satisfying
`k ≫ f = k ≫ g` induces a morphism `l : W ⟶ s.X` such that `l ≫ fork.ι s = k`. -/
def fork.is_limit.lift' {s : fork f g} (hs : is_limit s) {W : C} (k : W ⟶ X) (h : k ≫ f = k ≫ g) :
{l : W ⟶ s.X // l ≫ fork.ι s = k} :=
⟨hs.lift $ fork.of_ι _ h, hs.fac _ _⟩
/-- If `s` is a colimit cofork over `f` and `g`, then a morphism `k : Y ⟶ W` satisfying
`f ≫ k = g ≫ k` induces a morphism `l : s.X ⟶ W` such that `cofork.π s ≫ l = k`. -/
def cofork.is_colimit.desc' {s : cofork f g} (hs : is_colimit s) {W : C} (k : Y ⟶ W)
(h : f ≫ k = g ≫ k) : {l : s.X ⟶ W // cofork.π s ≫ l = k} :=
⟨hs.desc $ cofork.of_π _ h, hs.fac _ _⟩
/-- This is a slightly more convenient method to verify that a fork is a limit cone. It
only asks for a proof of facts that carry any mathematical content -/
def fork.is_limit.mk (t : fork f g)
(lift : Π (s : fork f g), s.X ⟶ t.X)
(fac : ∀ (s : fork f g), lift s ≫ fork.ι t = fork.ι s)
(uniq : ∀ (s : fork f g) (m : s.X ⟶ t.X)
(w : ∀ j : walking_parallel_pair, m ≫ t.π.app j = s.π.app j), m = lift s) :
is_limit t :=
{ lift := lift,
fac' := λ s j, walking_parallel_pair.cases_on j (fac s) $
by erw [←s.w left, ←t.w left, ←category.assoc, fac]; refl,
uniq' := uniq }
/-- This is a slightly more convenient method to verify that a cofork is a colimit cocone. It
only asks for a proof of facts that carry any mathematical content -/
def cofork.is_colimit.mk (t : cofork f g)
(desc : Π (s : cofork f g), t.X ⟶ s.X)
(fac : ∀ (s : cofork f g), cofork.π t ≫ desc s = cofork.π s)
(uniq : ∀ (s : cofork f g) (m : t.X ⟶ s.X)
(w : ∀ j : walking_parallel_pair, t.ι.app j ≫ m = s.ι.app j), m = desc s) :
is_colimit t :=
{ desc := desc,
fac' := λ s j, walking_parallel_pair.cases_on j
(by erw [←s.w left, ←t.w left, category.assoc, fac]; refl) (fac s),
uniq' := uniq }
section
local attribute [ext] cone
/-- The fork induced by the ι map of some fork `t` is the same as `t` -/
lemma fork.eq_of_ι_ι (t : fork f g) : t = fork.of_ι (fork.ι t) (fork.condition t) :=
begin
have h : t.π = (fork.of_ι (fork.ι t) (fork.condition t)).π,
{ ext j, cases j,
{ refl },
{ rw ←fork.app_zero_left, refl } },
tidy
end
end
/-- This is a helper construction that can be useful when verifying that a category has all
equalizers. Given `F : walking_parallel_pair ⥤ C`, which is really the same as
`parallel_pair (F.map left) (F.map right)`, and a fork on `F.map left` and `F.map right`,
we get a cone on `F`.
If you're thinking about using this, have a look at `has_equalizers_of_has_limit_parallel_pair`,
which you may find to be an easier way of achieving your goal. -/
def cone.of_fork
{F : walking_parallel_pair.{v} ⥤ C} (t : fork (F.map left) (F.map right)) : cone F :=
{ X := t.X,
π :=
{ app := λ X, t.π.app X ≫ eq_to_hom (by tidy),
naturality' := λ j j' g, by { cases j; cases j'; cases g; dsimp; simp } } }
section
local attribute [ext] cocone
/-- The cofork induced by the π map of some fork `t` is the same as `t` -/
lemma cofork.eq_of_π_π (t : cofork f g) : t = cofork.of_π (cofork.π t) (cofork.condition t) :=
begin
have h : t.ι = (cofork.of_π (cofork.π t) (cofork.condition t)).ι,
{ ext j, cases j,
{ rw ←cofork.left_app_one, refl },
{ refl } },
tidy
end
end
/-- This is a helper construction that can be useful when verifying that a category has all
coequalizers. Given `F : walking_parallel_pair ⥤ C`, which is really the same as
`parallel_pair (F.map left) (F.map right)`, and a cofork on `F.map left` and `F.map right`,
we get a cocone on `F`.
If you're thinking about using this, have a look at
`has_coequalizers_of_has_colimit_parallel_pair`, which you may find to be an easier way of
achieving your goal. -/
def cocone.of_cofork
{F : walking_parallel_pair.{v} ⥤ C} (t : cofork (F.map left) (F.map right)) : cocone F :=
{ X := t.X,
ι :=
{ app := λ X, eq_to_hom (by tidy) ≫ t.ι.app X,
naturality' := λ j j' g, by { cases j; cases j'; cases g; dsimp; simp } } }
@[simp] lemma cone.of_fork_π
{F : walking_parallel_pair.{v} ⥤ C} (t : fork (F.map left) (F.map right)) (j) :
(cone.of_fork t).π.app j = t.π.app j ≫ eq_to_hom (by tidy) := rfl
@[simp] lemma cocone.of_cofork_ι
{F : walking_parallel_pair.{v} ⥤ C} (t : cofork (F.map left) (F.map right)) (j) :
(cocone.of_cofork t).ι.app j = eq_to_hom (by tidy) ≫ t.ι.app j := rfl
/-- Given `F : walking_parallel_pair ⥤ C`, which is really the same as
`parallel_pair (F.map left) (F.map right)` and a cone on `F`, we get a fork on
`F.map left` and `F.map right`. -/
def fork.of_cone
{F : walking_parallel_pair.{v} ⥤ C} (t : cone F) : fork (F.map left) (F.map right) :=
{ X := t.X,
π := { app := λ X, t.π.app X ≫ eq_to_hom (by tidy) } }
/-- Given `F : walking_parallel_pair.{v} ⥤ C`, which is really the same as
`parallel_pair (F.map left) (F.map right)` and a cocone on `F`, we get a cofork on
`F.map left` and `F.map right`. -/
def cofork.of_cocone
{F : walking_parallel_pair.{v} ⥤ C} (t : cocone F) : cofork (F.map left) (F.map right) :=
{ X := t.X,
ι := { app := λ X, eq_to_hom (by tidy) ≫ t.ι.app X } }
@[simp] lemma fork.of_cone_π {F : walking_parallel_pair.{v} ⥤ C} (t : cone F) (j) :
(fork.of_cone t).π.app j = t.π.app j ≫ eq_to_hom (by tidy) := rfl
@[simp] lemma cofork.of_cocone_ι {F : walking_parallel_pair.{v} ⥤ C} (t : cocone F) (j) :
(cofork.of_cocone t).ι.app j = eq_to_hom (by tidy) ≫ t.ι.app j := rfl
variables (f g)
section
variables [has_limit (parallel_pair f g)]
/-- If we have chosen an equalizer of `f` and `g`, we can access the corresponding object by
saying `equalizer f g`. -/
abbreviation equalizer := limit (parallel_pair f g)
/-- If we have chosen an equalizer of `f` and `g`, we can access the inclusion
`equalizer f g ⟶ X` by saying `equalizer.ι f g`. -/
abbreviation equalizer.ι : equalizer f g ⟶ X :=
limit.π (parallel_pair f g) zero
@[simp] lemma equalizer.ι.fork :
fork.ι (limit.cone (parallel_pair f g)) = equalizer.ι f g := rfl
@[simp] lemma equalizer.ι.eq_app_zero :
(limit.cone (parallel_pair f g)).π.app zero = equalizer.ι f g := rfl
@[reassoc] lemma equalizer.condition : equalizer.ι f g ≫ f = equalizer.ι f g ≫ g :=
fork.condition $ limit.cone $ parallel_pair f g
variables {f g}
/-- A morphism `k : W ⟶ X` satisfying `k ≫ f = k ≫ g` factors through the equalizer of `f` and `g`
via `equalizer.lift : W ⟶ equalizer f g`. -/
abbreviation equalizer.lift {W : C} (k : W ⟶ X) (h : k ≫ f = k ≫ g) : W ⟶ equalizer f g :=
limit.lift (parallel_pair f g) (fork.of_ι k h)
@[simp, reassoc]
lemma equalizer.lift_ι {W : C} (k : W ⟶ X) (h : k ≫ f = k ≫ g) :
equalizer.lift k h ≫ equalizer.ι f g = k :=
limit.lift_π _ _
/-- A morphism `k : W ⟶ X` satisfying `k ≫ f = k ≫ g` induces a morphism `l : W ⟶ equalizer f g`
satisfying `l ≫ equalizer.ι f g = k`. -/
def equalizer.lift' {W : C} (k : W ⟶ X) (h : k ≫ f = k ≫ g) :
{l : W ⟶ equalizer f g // l ≫ equalizer.ι f g = k} :=
⟨equalizer.lift k h, equalizer.lift_ι _ _⟩
/-- Two maps into an equalizer are equal if they are are equal when composed with the equalizer
map. -/
@[ext] lemma equalizer.hom_ext {W : C} {k l : W ⟶ equalizer f g}
(h : k ≫ equalizer.ι f g = l ≫ equalizer.ι f g) : k = l :=
fork.is_limit.hom_ext (limit.is_limit _) h
/-- An equalizer morphism is a monomorphism -/
instance equalizer.ι_mono : mono (equalizer.ι f g) :=
{ right_cancellation := λ Z h k w, equalizer.hom_ext w }
end
section
variables {f g}
/-- The equalizer morphism in any limit cone is a monomorphism. -/
lemma mono_of_is_limit_parallel_pair {c : cone (parallel_pair f g)} (i : is_limit c) :
mono (fork.ι c) :=
{ right_cancellation := λ Z h k w, fork.is_limit.hom_ext i w }
end
section
/-- The identity determines a cone on the equalizer diagram of f and f -/
def cone_parallel_pair_self : cone (parallel_pair f f) :=
{ X := X,
π :=
{ app := λ j, match j with | zero := 𝟙 X | one := f end } }
@[simp] lemma cone_parallel_pair_self_π_app_zero : (cone_parallel_pair_self f).π.app zero = 𝟙 X :=
rfl
@[simp] lemma cone_parallel_pair_self_X : (cone_parallel_pair_self f).X = X := rfl
/-- The identity on X is an equalizer of (f, f) -/
def is_limit_cone_parallel_pair_self : is_limit (cone_parallel_pair_self f) :=
{ lift := λ s, s.π.app zero,
fac' := λ s j,
match j with
| zero := category.comp_id _
| one := fork.app_zero_left _
end,
uniq' := λ s m w, by { convert w zero, erw category.comp_id } }
/-- Every equalizer of (f, f) is an isomorphism -/
def limit_cone_parallel_pair_self_is_iso (c : cone (parallel_pair f f)) (h : is_limit c) :
is_iso (c.π.app zero) :=
let c' := cone_parallel_pair_self f,
z : c ≅ c' := is_limit.unique_up_to_iso h (is_limit_cone_parallel_pair_self f) in
is_iso.of_iso (functor.map_iso (cones.forget _) z)
/-- The equalizer of (f, f) is an isomorphism -/
def equalizer.ι_of_self [has_limit (parallel_pair f f)] : is_iso (equalizer.ι f f) :=
limit_cone_parallel_pair_self_is_iso _ _ $ limit.is_limit _
/-- Every equalizer of (f, g), where f = g, is an isomorphism -/
def limit_cone_parallel_pair_self_is_iso' (c : cone (parallel_pair f g)) (h₀ : is_limit c)
(h₁ : f = g) : is_iso (c.π.app zero) :=
begin
rw fork.eq_of_ι_ι c at *,
have h₂ : is_limit (fork.of_ι (c.π.app zero) rfl : fork f f), by convert h₀,
exact limit_cone_parallel_pair_self_is_iso f (fork.of_ι (c.π.app zero) rfl) h₂
end
/-- The equalizer of (f, g), where f = g, is an isomorphism -/
def equalizer.ι_of_self' [has_limit (parallel_pair f g)] (h : f = g) : is_iso (equalizer.ι f g) :=
limit_cone_parallel_pair_self_is_iso' _ _ _ (limit.is_limit _) h
/-- An equalizer that is an epimorphism is an isomorphism -/
def epi_limit_cone_parallel_pair_is_iso (c : cone (parallel_pair f g))
(h : is_limit c) [epi (c.π.app zero)] : is_iso (c.π.app zero) :=
limit_cone_parallel_pair_self_is_iso' f g c h $
(cancel_epi (c.π.app zero)).1 (fork.condition c)
end
section
variables [has_colimit (parallel_pair f g)]
/-- If we have chosen a coequalizer of `f` and `g`, we can access the corresponding object by
saying `coequalizer f g`. -/
abbreviation coequalizer := colimit (parallel_pair f g)
/-- If we have chosen a coequalizer of `f` and `g`, we can access the corresponding projection by
saying `coequalizer.π f g`. -/
abbreviation coequalizer.π : Y ⟶ coequalizer f g :=
colimit.ι (parallel_pair f g) one
@[simp] lemma coequalizer.π.cofork :
cofork.π (colimit.cocone (parallel_pair f g)) = coequalizer.π f g := rfl
@[simp] lemma coequalizer.π.eq_app_one :
(colimit.cocone (parallel_pair f g)).ι.app one = coequalizer.π f g := rfl
@[reassoc] lemma coequalizer.condition : f ≫ coequalizer.π f g = g ≫ coequalizer.π f g :=
cofork.condition $ colimit.cocone $ parallel_pair f g
variables {f g}
/-- Any morphism `k : Y ⟶ W` satisfying `f ≫ k = g ≫ k` factors through the coequalizer of `f`
and `g` via `coequalizer.desc : coequalizer f g ⟶ W`. -/
abbreviation coequalizer.desc {W : C} (k : Y ⟶ W) (h : f ≫ k = g ≫ k) : coequalizer f g ⟶ W :=
colimit.desc (parallel_pair f g) (cofork.of_π k h)
@[simp, reassoc]
lemma coequalizer.π_desc {W : C} (k : Y ⟶ W) (h : f ≫ k = g ≫ k) :
coequalizer.π f g ≫ coequalizer.desc k h = k :=
colimit.ι_desc _ _
/-- Any morphism `k : Y ⟶ W` satisfying `f ≫ k = g ≫ k` induces a morphism
`l : coequalizer f g ⟶ W` satisfying `coequalizer.π ≫ g = l`. -/
def coequalizer.desc' {W : C} (k : Y ⟶ W) (h : f ≫ k = g ≫ k) :
{l : coequalizer f g ⟶ W // coequalizer.π f g ≫ l = k} :=
⟨coequalizer.desc k h, coequalizer.π_desc _ _⟩
/-- Two maps from a coequalizer are equal if they are equal when composed with the coequalizer
map -/
@[ext] lemma coequalizer.hom_ext {W : C} {k l : coequalizer f g ⟶ W}
(h : coequalizer.π f g ≫ k = coequalizer.π f g ≫ l) : k = l :=
cofork.is_colimit.hom_ext (colimit.is_colimit _) h
/-- A coequalizer morphism is an epimorphism -/
instance coequalizer.π_epi : epi (coequalizer.π f g) :=
{ left_cancellation := λ Z h k w, coequalizer.hom_ext w }
end
section
variables {f g}
/-- The coequalizer morphism in any colimit cocone is an epimorphism. -/
lemma epi_of_is_colimit_parallel_pair {c : cocone (parallel_pair f g)} (i : is_colimit c) :
epi (c.ι.app one) :=
{ left_cancellation := λ Z h k w, cofork.is_colimit.hom_ext i w }
end
section
/-- The identity determines a cocone on the coequalizer diagram of f and f -/
def cocone_parallel_pair_self : cocone (parallel_pair f f) :=
{ X := Y,
ι :=
{ app := λ j, match j with | zero := f | one := 𝟙 Y end,
naturality' := λ j j' g,
begin
cases g,
{ refl },
{ erw category.comp_id f },
{ dsimp, simp }
end } }
@[simp] lemma cocone_parallel_pair_self_ι_app_one : (cocone_parallel_pair_self f).ι.app one = 𝟙 Y :=
rfl
@[simp] lemma cocone_parallel_pair_self_X : (cocone_parallel_pair_self f).X = Y := rfl
/-- The identity on Y is a colimit of (f, f) -/
def is_colimit_cocone_parallel_pair_self : is_colimit (cocone_parallel_pair_self f) :=
{ desc := λ s, s.ι.app one,
fac' := λ s j,
match j with
| zero := cofork.left_app_one _
| one := category.id_comp _
end,
uniq' := λ s m w, by { convert w one, erw category.id_comp } }
/-- Every coequalizer of (f, f) is an isomorphism -/
def colimit_cocone_parallel_pair_self_is_iso (c : cocone (parallel_pair f f)) (h : is_colimit c) :
is_iso (c.ι.app one) :=
let c' := cocone_parallel_pair_self f,
z : c' ≅ c := is_colimit.unique_up_to_iso (is_colimit_cocone_parallel_pair_self f) h in
is_iso.of_iso $ functor.map_iso (cocones.forget _) z
/-- The coequalizer of (f, f) is an isomorphism -/
def coequalizer.π_of_self [has_colimit (parallel_pair f f)] : is_iso (coequalizer.π f f) :=
colimit_cocone_parallel_pair_self_is_iso _ _ $ colimit.is_colimit _
/-- Every coequalizer of (f, g), where f = g, is an isomorphism -/
def colimit_cocone_parallel_pair_self_is_iso' (c : cocone (parallel_pair f g)) (h₀ : is_colimit c)
(h₁ : f = g) : is_iso (c.ι.app one) :=
begin
rw cofork.eq_of_π_π c at *,
have h₂ : is_colimit (cofork.of_π (c.ι.app one) rfl : cofork f f), by convert h₀,
exact colimit_cocone_parallel_pair_self_is_iso f (cofork.of_π (c.ι.app one) rfl) h₂
end
/-- The coequalizer of (f, g), where f = g, is an isomorphism -/
def coequalizer.π_of_self' [has_colimit (parallel_pair f g)] (h : f = g) :
is_iso (coequalizer.π f g) :=
colimit_cocone_parallel_pair_self_is_iso' _ _ _ (colimit.is_colimit _) h
/-- A coequalizer that is a monomorphism is an isomorphism -/
def mono_limit_cocone_parallel_pair_is_iso (c : cocone (parallel_pair f g))
(h : is_colimit c) [mono (c.ι.app one)] : is_iso (c.ι.app one) :=
colimit_cocone_parallel_pair_self_is_iso' f g c h $
(cancel_mono (c.ι.app one)).1 (cofork.condition c)
end
variables (C)
/-- `has_equalizers` represents a choice of equalizer for every pair of morphisms -/
class has_equalizers :=
(has_limits_of_shape : has_limits_of_shape.{v} walking_parallel_pair C)
/-- `has_coequalizers` represents a choice of coequalizer for every pair of morphisms -/
class has_coequalizers :=
(has_colimits_of_shape : has_colimits_of_shape.{v} walking_parallel_pair C)
attribute [instance] has_equalizers.has_limits_of_shape has_coequalizers.has_colimits_of_shape
/-- Equalizers are finite limits, so if `C` has all finite limits, it also has all equalizers -/
def has_equalizers_of_has_finite_limits [has_finite_limits.{v} C] : has_equalizers.{v} C :=
{ has_limits_of_shape := infer_instance }
/-- Coequalizers are finite colimits, of if `C` has all finite colimits, it also has all
coequalizers -/
def has_coequalizers_of_has_finite_colimits [has_finite_colimits.{v} C] : has_coequalizers.{v} C :=
{ has_colimits_of_shape := infer_instance }
/-- If `C` has all limits of diagrams `parallel_pair f g`, then it has all equalizers -/
def has_equalizers_of_has_limit_parallel_pair
[Π {X Y : C} {f g : X ⟶ Y}, has_limit (parallel_pair f g)] : has_equalizers.{v} C :=
{ has_limits_of_shape := { has_limit := λ F, has_limit_of_iso (diagram_iso_parallel_pair F).symm } }
/-- If `C` has all colimits of diagrams `parallel_pair f g`, then it has all coequalizers -/
def has_coequalizers_of_has_colimit_parallel_pair
[Π {X Y : C} {f g : X ⟶ Y}, has_colimit (parallel_pair f g)] : has_coequalizers.{v} C :=
{ has_colimits_of_shape := { has_colimit := λ F, has_colimit_of_iso (diagram_iso_parallel_pair F) } }
section
-- In this section we show that a split mono `f` equalizes `(retraction f ≫ f)` and `(𝟙 Y)`.
variables {C} [split_mono f]
/--
A split mono `f` equalizes `(retraction f ≫ f)` and `(𝟙 Y)`.
Here we build the cone, and show in `split_mono_equalizes` that it is a limit cone.
-/
def cone_of_split_mono : cone (parallel_pair (𝟙 Y) (retraction f ≫ f)) :=
fork.of_ι f (by tidy)
@[simp] lemma cone_of_split_mono_π_app_zero : (cone_of_split_mono f).π.app zero = f := rfl
@[simp] lemma cone_of_split_mono_π_app_one : (cone_of_split_mono f).π.app one = f ≫ 𝟙 Y := rfl
/--
A split mono `f` equalizes `(retraction f ≫ f)` and `(𝟙 Y)`.
-/
def split_mono_equalizes {X Y : C} (f : X ⟶ Y) [split_mono f] : is_limit (cone_of_split_mono f) :=
{ lift := λ s, s.π.app zero ≫ retraction f,
fac' := λ s,
begin
rintros (⟨⟩|⟨⟩),
{ rw [cone_of_split_mono_π_app_zero],
erw [category.assoc, ← s.π.naturality right, s.π.naturality left, category.comp_id], },
{ erw [cone_of_split_mono_π_app_one, category.comp_id, category.assoc,
← s.π.naturality right, category.id_comp], }
end,
uniq' := λ s m w, begin rw ←(w zero), simp, end, }
end
section
-- In this section we show that a split epi `f` coequalizes `(f ≫ section_ f)` and `(𝟙 X)`.
variables {C} [split_epi f]
/--
A split epi `f` coequalizes `(f ≫ section_ f)` and `(𝟙 X)`.
Here we build the cocone, and show in `split_epi_coequalizes` that it is a colimit cocone.
-/
def cocone_of_split_epi : cocone (parallel_pair (𝟙 X) (f ≫ section_ f)) :=
cofork.of_π f (by tidy)
@[simp] lemma cocone_of_split_epi_ι_app_one : (cocone_of_split_epi f).ι.app one = f := rfl
@[simp] lemma cocone_of_split_epi_ι_app_zero : (cocone_of_split_epi f).ι.app zero = 𝟙 X ≫ f := rfl
/--
A split epi `f` coequalizes `(f ≫ section_ f)` and `(𝟙 X)`.
-/
def split_epi_coequalizes {X Y : C} (f : X ⟶ Y) [split_epi f] : is_colimit (cocone_of_split_epi f) :=
{ desc := λ s, section_ f ≫ s.ι.app one,
fac' := λ s,
begin
rintros (⟨⟩|⟨⟩),
{ erw [cocone_of_split_epi_ι_app_zero, category.assoc, category.id_comp, ←category.assoc,
s.ι.naturality right, functor.const.obj_map, category.comp_id], },
{ erw [cocone_of_split_epi_ι_app_one, ←category.assoc, s.ι.naturality right,
←s.ι.naturality left, category.id_comp] }
end,
uniq' := λ s m w, begin rw ←(w one), simp, end, }
end
end category_theory.limits
|
0dcfade30687a3b6b274dcf6a2aa63012e5d062f | cf39355caa609c0f33405126beee2739aa3cb77e | /tests/lean/run/structure_instance_delayed_abstr.lean | 05210044985d58ae23cc00245072f41faaf82036 | [
"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 | 76 | lean | example : ℕ × ℕ :=
{fst := have ℕ, from 0, by exact this, snd := 0}
|
3687f643d18b7a67a3dce8a42bb5d567e62abc47 | 32025d5c2d6e33ad3b6dd8a3c91e1e838066a7f7 | /tests/lean/run/toExpr.lean | 0097e8d634a0e869e2aa364e663d40ab2d1b4a04 | [
"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 | 778 | lean | import Lean
open Lean
unsafe def test {α : Type} [HasToString α] [ToExpr α] [HasBeq α] (a : α) : CoreM Unit := do
env ← getEnv;
let auxName := `_toExpr._test;
let decl := Declaration.defnDecl {
name := auxName,
lparams := [],
value := toExpr a,
type := toTypeExpr α,
hints := ReducibilityHints.abbrev,
isUnsafe := false
};
IO.println (toExpr a);
match env.addAndCompile {} decl with
| Except.error _ => throwError "addDecl failed"
| Except.ok env => do
match env.evalConst α auxName with
| Except.error ex => throwError ex
| Except.ok b => do
IO.println b;
unless (a == b) $
throwError "toExpr failed";
pure ()
#eval test #[(1, 2), (3, 4)]
#eval test ['a', 'b', 'c']
#eval test ("hello", true)
#eval test ((), 10)
|
69b9b97d03dc1d64ec11738d6d6556b2ae03249d | 57c233acf9386e610d99ed20ef139c5f97504ba3 | /src/data/fin/tuple/basic.lean | 83872b52a1028f0ed229f4e65db12ef2c158d2ea | [
"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 | 23,615 | lean | /-
Copyright (c) 2019 Floris van Doorn. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Floris van Doorn, Yury Kudryashov, Sébastien Gouëzel, Chris Hughes
-/
import data.fin.basic
/-!
# Operation on tuples
We interpret maps `Π i : fin n, α i` as `n`-tuples of elements of possibly varying type `α i`,
`(α 0, …, α (n-1))`. A particular case is `fin n → α` of elements with all the same type.
In this case when `α i` is a constant map, then tuples are isomorphic (but not definitionally equal)
to `vector`s.
We define the following operations:
* `fin.tail` : the tail of an `n+1` tuple, i.e., its last `n` entries;
* `fin.cons` : adding an element at the beginning of an `n`-tuple, to get an `n+1`-tuple;
* `fin.init` : the beginning of an `n+1` tuple, i.e., its first `n` entries;
* `fin.snoc` : adding an element at the end of an `n`-tuple, to get an `n+1`-tuple. The name `snoc`
comes from `cons` (i.e., adding an element to the left of a tuple) read in reverse order.
* `fin.insert_nth` : insert an element to a tuple at a given position.
* `fin.find p` : returns the first index `n` where `p n` is satisfied, and `none` if it is never
satisfied.
-/
universes u v
namespace fin
variables {m n : ℕ}
open function
section tuple
/-- There is exactly one tuple of size zero. -/
example (α : fin 0 → Sort u) : unique (Π i : fin 0, α i) :=
by apply_instance
@[simp] lemma tuple0_le {α : Π i : fin 0, Type*} [Π i, preorder (α i)] (f g : Π i, α i) : f ≤ g :=
fin_zero_elim
variables {α : fin (n+1) → Type u} (x : α 0) (q : Πi, α i) (p : Π(i : fin n), α (i.succ))
(i : fin n) (y : α i.succ) (z : α 0)
/-- The tail of an `n+1` tuple, i.e., its last `n` entries. -/
def tail (q : Πi, α i) : (Π(i : fin n), α (i.succ)) := λ i, q i.succ
lemma tail_def {n : ℕ} {α : fin (n+1) → Type*} {q : Π i, α i} :
tail (λ k : fin (n+1), q k) = (λ k : fin n, q k.succ) := rfl
/-- Adding an element at the beginning of an `n`-tuple, to get an `n+1`-tuple. -/
def cons (x : α 0) (p : Π(i : fin n), α (i.succ)) : Πi, α i :=
λ j, fin.cases x p j
@[simp] lemma tail_cons : tail (cons x p) = p :=
by simp [tail, cons]
@[simp] lemma cons_succ : cons x p i.succ = p i :=
by simp [cons]
@[simp] lemma cons_zero : cons x p 0 = x :=
by simp [cons]
/-- Updating a tuple and adding an element at the beginning commute. -/
@[simp] lemma cons_update : cons x (update p i y) = update (cons x p) i.succ y :=
begin
ext j,
by_cases h : j = 0,
{ rw h, simp [ne.symm (succ_ne_zero i)] },
{ let j' := pred j h,
have : j'.succ = j := succ_pred j h,
rw [← this, cons_succ],
by_cases h' : j' = i,
{ rw h', simp },
{ have : j'.succ ≠ i.succ, by rwa [ne.def, succ_inj],
rw [update_noteq h', update_noteq this, cons_succ] } }
end
/-- Adding an element at the beginning of a tuple and then updating it amounts to adding it
directly. -/
lemma update_cons_zero : update (cons x p) 0 z = cons z p :=
begin
ext j,
by_cases h : j = 0,
{ rw h, simp },
{ simp only [h, update_noteq, ne.def, not_false_iff],
let j' := pred j h,
have : j'.succ = j := succ_pred j h,
rw [← this, cons_succ, cons_succ] }
end
/-- Concatenating the first element of a tuple with its tail gives back the original tuple -/
@[simp] lemma cons_self_tail : cons (q 0) (tail q) = q :=
begin
ext j,
by_cases h : j = 0,
{ rw h, simp },
{ let j' := pred j h,
have : j'.succ = j := succ_pred j h,
rw [← this, tail, cons_succ] }
end
/-- Updating the first element of a tuple does not change the tail. -/
@[simp] lemma tail_update_zero : tail (update q 0 z) = tail q :=
by { ext j, simp [tail, fin.succ_ne_zero] }
/-- Updating a nonzero element and taking the tail commute. -/
@[simp] lemma tail_update_succ :
tail (update q i.succ y) = update (tail q) i y :=
begin
ext j,
by_cases h : j = i,
{ rw h, simp [tail] },
{ simp [tail, (fin.succ_injective n).ne h, h] }
end
lemma comp_cons {α : Type*} {β : Type*} (g : α → β) (y : α) (q : fin n → α) :
g ∘ (cons y q) = cons (g y) (g ∘ q) :=
begin
ext j,
by_cases h : j = 0,
{ rw h, refl },
{ let j' := pred j h,
have : j'.succ = j := succ_pred j h,
rw [← this, cons_succ, comp_app, cons_succ] }
end
lemma comp_tail {α : Type*} {β : Type*} (g : α → β) (q : fin n.succ → α) :
g ∘ (tail q) = tail (g ∘ q) :=
by { ext j, simp [tail] }
lemma le_cons [Π i, preorder (α i)] {x : α 0} {q : Π i, α i} {p : Π i : fin n, α i.succ} :
q ≤ cons x p ↔ q 0 ≤ x ∧ tail q ≤ p :=
forall_fin_succ.trans $ and_congr iff.rfl $ forall_congr $ λ j, by simp [tail]
lemma cons_le [Π i, preorder (α i)] {x : α 0} {q : Π i, α i} {p : Π i : fin n, α i.succ} :
cons x p ≤ q ↔ x ≤ q 0 ∧ p ≤ tail q :=
@le_cons _ (λ i, order_dual (α i)) _ x q p
@[simp]
lemma range_cons {α : Type*} {n : ℕ} (x : α) (b : fin n → α) :
set.range (fin.cons x b : fin n.succ → α) = insert x (set.range b) :=
begin
ext y,
simp only [set.mem_range, set.mem_insert_iff],
split,
{ rintros ⟨i, rfl⟩,
refine cases (or.inl (cons_zero _ _)) (λ i, or.inr ⟨i, _⟩) i,
rw cons_succ },
{ rintros (rfl | ⟨i, hi⟩),
{ exact ⟨0, fin.cons_zero _ _⟩ },
{ refine ⟨i.succ, _⟩,
rw [cons_succ, hi] } }
end
/-- `fin.append ho u v` appends two vectors of lengths `m` and `n` to produce
one of length `o = m + n`. `ho` provides control of definitional equality
for the vector length. -/
def append {α : Type*} {o : ℕ} (ho : o = m + n) (u : fin m → α) (v : fin n → α) : fin o → α :=
λ i, if h : (i : ℕ) < m
then u ⟨i, h⟩
else v ⟨(i : ℕ) - m, (tsub_lt_iff_left (le_of_not_lt h)).2 (ho ▸ i.property)⟩
@[simp] lemma fin_append_apply_zero {α : Type*} {o : ℕ} (ho : (o + 1) = (m + 1) + n)
(u : fin (m + 1) → α) (v : fin n → α) :
fin.append ho u v 0 = u 0 := rfl
end tuple
section tuple_right
/-! In the previous section, we have discussed inserting or removing elements on the left of a
tuple. In this section, we do the same on the right. A difference is that `fin (n+1)` is constructed
inductively from `fin n` starting from the left, not from the right. This implies that Lean needs
more help to realize that elements belong to the right types, i.e., we need to insert casts at
several places. -/
variables {α : fin (n+1) → Type u} (x : α (last n)) (q : Πi, α i) (p : Π(i : fin n), α i.cast_succ)
(i : fin n) (y : α i.cast_succ) (z : α (last n))
/-- The beginning of an `n+1` tuple, i.e., its first `n` entries -/
def init (q : Πi, α i) (i : fin n) : α i.cast_succ :=
q i.cast_succ
lemma init_def {n : ℕ} {α : fin (n+1) → Type*} {q : Π i, α i} :
init (λ k : fin (n+1), q k) = (λ k : fin n, q k.cast_succ) := rfl
/-- Adding an element at the end of an `n`-tuple, to get an `n+1`-tuple. The name `snoc` comes from
`cons` (i.e., adding an element to the left of a tuple) read in reverse order. -/
def snoc (p : Π(i : fin n), α i.cast_succ) (x : α (last n)) (i : fin (n+1)) : α i :=
if h : i.val < n
then _root_.cast (by rw fin.cast_succ_cast_lt i h) (p (cast_lt i h))
else _root_.cast (by rw eq_last_of_not_lt h) x
@[simp] lemma init_snoc : init (snoc p x) = p :=
begin
ext i,
have h' := fin.cast_lt_cast_succ i i.is_lt,
simp [init, snoc, i.is_lt, h'],
convert cast_eq rfl (p i)
end
@[simp] lemma snoc_cast_succ : snoc p x i.cast_succ = p i :=
begin
have : i.cast_succ.val < n := i.is_lt,
have h' := fin.cast_lt_cast_succ i i.is_lt,
simp [snoc, this, h'],
convert cast_eq rfl (p i)
end
@[simp] lemma snoc_last : snoc p x (last n) = x :=
by { simp [snoc] }
/-- Updating a tuple and adding an element at the end commute. -/
@[simp] lemma snoc_update : snoc (update p i y) x = update (snoc p x) i.cast_succ y :=
begin
ext j,
by_cases h : j.val < n,
{ simp only [snoc, h, dif_pos],
by_cases h' : j = cast_succ i,
{ have C1 : α i.cast_succ = α j, by rw h',
have E1 : update (snoc p x) i.cast_succ y j = _root_.cast C1 y,
{ have : update (snoc p x) j (_root_.cast C1 y) j = _root_.cast C1 y, by simp,
convert this,
{ exact h'.symm },
{ exact heq_of_cast_eq (congr_arg α (eq.symm h')) rfl } },
have C2 : α i.cast_succ = α (cast_succ (cast_lt j h)),
by rw [cast_succ_cast_lt, h'],
have E2 : update p i y (cast_lt j h) = _root_.cast C2 y,
{ have : update p (cast_lt j h) (_root_.cast C2 y) (cast_lt j h) = _root_.cast C2 y,
by simp,
convert this,
{ simp [h, h'] },
{ exact heq_of_cast_eq C2 rfl } },
rw [E1, E2],
exact eq_rec_compose _ _ _ },
{ have : ¬(cast_lt j h = i),
by { assume E, apply h', rw [← E, cast_succ_cast_lt] },
simp [h', this, snoc, h] } },
{ rw eq_last_of_not_lt h,
simp [ne.symm (ne_of_lt (cast_succ_lt_last i))] }
end
/-- Adding an element at the beginning of a tuple and then updating it amounts to adding it
directly. -/
lemma update_snoc_last : update (snoc p x) (last n) z = snoc p z :=
begin
ext j,
by_cases h : j.val < n,
{ have : j ≠ last n := ne_of_lt h,
simp [h, update_noteq, this, snoc] },
{ rw eq_last_of_not_lt h,
simp }
end
/-- Concatenating the first element of a tuple with its tail gives back the original tuple -/
@[simp] lemma snoc_init_self : snoc (init q) (q (last n)) = q :=
begin
ext j,
by_cases h : j.val < n,
{ have : j ≠ last n := ne_of_lt h,
simp [h, update_noteq, this, snoc, init, cast_succ_cast_lt],
have A : cast_succ (cast_lt j h) = j := cast_succ_cast_lt _ _,
rw ← cast_eq rfl (q j),
congr' 1; rw A },
{ rw eq_last_of_not_lt h,
simp }
end
/-- Updating the last element of a tuple does not change the beginning. -/
@[simp] lemma init_update_last : init (update q (last n) z) = init q :=
by { ext j, simp [init, ne_of_lt, cast_succ_lt_last] }
/-- Updating an element and taking the beginning commute. -/
@[simp] lemma init_update_cast_succ :
init (update q i.cast_succ y) = update (init q) i y :=
begin
ext j,
by_cases h : j = i,
{ rw h, simp [init] },
{ simp [init, h] }
end
/-- `tail` and `init` commute. We state this lemma in a non-dependent setting, as otherwise it
would involve a cast to convince Lean that the two types are equal, making it harder to use. -/
lemma tail_init_eq_init_tail {β : Type*} (q : fin (n+2) → β) :
tail (init q) = init (tail q) :=
by { ext i, simp [tail, init, cast_succ_fin_succ] }
/-- `cons` and `snoc` commute. We state this lemma in a non-dependent setting, as otherwise it
would involve a cast to convince Lean that the two types are equal, making it harder to use. -/
lemma cons_snoc_eq_snoc_cons {β : Type*} (a : β) (q : fin n → β) (b : β) :
@cons n.succ (λ i, β) a (snoc q b) = snoc (cons a q) b :=
begin
ext i,
by_cases h : i = 0,
{ rw h, refl },
set j := pred i h with ji,
have : i = j.succ, by rw [ji, succ_pred],
rw [this, cons_succ],
by_cases h' : j.val < n,
{ set k := cast_lt j h' with jk,
have : j = k.cast_succ, by rw [jk, cast_succ_cast_lt],
rw [this, ← cast_succ_fin_succ],
simp },
rw [eq_last_of_not_lt h', succ_last],
simp
end
lemma comp_snoc {α : Type*} {β : Type*} (g : α → β) (q : fin n → α) (y : α) :
g ∘ (snoc q y) = snoc (g ∘ q) (g y) :=
begin
ext j,
by_cases h : j.val < n,
{ have : j ≠ last n := ne_of_lt h,
simp [h, this, snoc, cast_succ_cast_lt] },
{ rw eq_last_of_not_lt h,
simp }
end
lemma comp_init {α : Type*} {β : Type*} (g : α → β) (q : fin n.succ → α) :
g ∘ (init q) = init (g ∘ q) :=
by { ext j, simp [init] }
end tuple_right
section insert_nth
variables {α : fin (n+1) → Type u} {β : Type v}
/-- Define a function on `fin (n + 1)` from a value on `i : fin (n + 1)` and values on each
`fin.succ_above i j`, `j : fin n`. This version is elaborated as eliminator and works for
propositions, see also `fin.insert_nth` for a version without an `@[elab_as_eliminator]`
attribute. -/
@[elab_as_eliminator]
def succ_above_cases {α : fin (n + 1) → Sort u} (i : fin (n + 1)) (x : α i)
(p : Π j : fin n, α (i.succ_above j)) (j : fin (n + 1)) : α j :=
if hj : j = i then eq.rec x hj.symm
else if hlt : j < i then eq.rec_on (succ_above_cast_lt hlt) (p _)
else eq.rec_on (succ_above_pred $ (ne.lt_or_lt hj).resolve_left hlt) (p _)
lemma forall_iff_succ_above {p : fin (n + 1) → Prop} (i : fin (n + 1)) :
(∀ j, p j) ↔ p i ∧ ∀ j, p (i.succ_above j) :=
⟨λ h, ⟨h _, λ j, h _⟩, λ h, succ_above_cases i h.1 h.2⟩
/-- Insert an element into a tuple at a given position. For `i = 0` see `fin.cons`,
for `i = fin.last n` see `fin.snoc`. See also `fin.succ_above_cases` for a version elaborated
as an eliminator. -/
def insert_nth (i : fin (n + 1)) (x : α i) (p : Π j : fin n, α (i.succ_above j)) (j : fin (n + 1)) :
α j :=
succ_above_cases i x p j
@[simp] lemma insert_nth_apply_same (i : fin (n + 1)) (x : α i) (p : Π j, α (i.succ_above j)) :
insert_nth i x p i = x :=
by simp [insert_nth, succ_above_cases]
@[simp] lemma insert_nth_apply_succ_above (i : fin (n + 1)) (x : α i) (p : Π j, α (i.succ_above j))
(j : fin n) :
insert_nth i x p (i.succ_above j) = p j :=
begin
simp only [insert_nth, succ_above_cases, dif_neg (succ_above_ne _ _)],
by_cases hlt : j.cast_succ < i,
{ rw [dif_pos ((succ_above_lt_iff _ _).2 hlt)],
apply eq_of_heq ((eq_rec_heq _ _).trans _),
rw [cast_lt_succ_above hlt] },
{ rw [dif_neg (mt (succ_above_lt_iff _ _).1 hlt)],
apply eq_of_heq ((eq_rec_heq _ _).trans _),
rw [pred_succ_above (le_of_not_lt hlt)] }
end
@[simp] lemma succ_above_cases_eq_insert_nth :
@succ_above_cases.{u + 1} = @insert_nth.{u} := rfl
@[simp] lemma insert_nth_comp_succ_above (i : fin (n + 1)) (x : β) (p : fin n → β) :
insert_nth i x p ∘ i.succ_above = p :=
funext $ insert_nth_apply_succ_above i x p
lemma insert_nth_eq_iff {i : fin (n + 1)} {x : α i} {p : Π j, α (i.succ_above j)} {q : Π j, α j} :
i.insert_nth x p = q ↔ q i = x ∧ p = (λ j, q (i.succ_above j)) :=
by simp [funext_iff, forall_iff_succ_above i, eq_comm]
lemma eq_insert_nth_iff {i : fin (n + 1)} {x : α i} {p : Π j, α (i.succ_above j)} {q : Π j, α j} :
q = i.insert_nth x p ↔ q i = x ∧ p = (λ j, q (i.succ_above j)) :=
eq_comm.trans insert_nth_eq_iff
lemma insert_nth_apply_below {i j : fin (n + 1)} (h : j < i) (x : α i)
(p : Π k, α (i.succ_above k)) :
i.insert_nth x p j = eq.rec_on (succ_above_cast_lt h) (p $ j.cast_lt _) :=
by rw [insert_nth, succ_above_cases, dif_neg h.ne, dif_pos h]
lemma insert_nth_apply_above {i j : fin (n + 1)} (h : i < j) (x : α i)
(p : Π k, α (i.succ_above k)) :
i.insert_nth x p j = eq.rec_on (succ_above_pred h) (p $ j.pred _) :=
by rw [insert_nth, succ_above_cases, dif_neg h.ne', dif_neg h.not_lt]
lemma insert_nth_zero (x : α 0) (p : Π j : fin n, α (succ_above 0 j)) :
insert_nth 0 x p = cons x (λ j, _root_.cast (congr_arg α (congr_fun succ_above_zero j)) (p j)) :=
begin
refine insert_nth_eq_iff.2 ⟨by simp, _⟩,
ext j,
convert (cons_succ _ _ _).symm
end
@[simp] lemma insert_nth_zero' (x : β) (p : fin n → β) :
@insert_nth _ (λ _, β) 0 x p = cons x p :=
by simp [insert_nth_zero]
lemma insert_nth_last (x : α (last n)) (p : Π j : fin n, α ((last n).succ_above j)) :
insert_nth (last n) x p =
snoc (λ j, _root_.cast (congr_arg α (succ_above_last_apply j)) (p j)) x :=
begin
refine insert_nth_eq_iff.2 ⟨by simp, _⟩,
ext j,
apply eq_of_heq,
transitivity snoc (λ j, _root_.cast (congr_arg α (succ_above_last_apply j)) (p j)) x j.cast_succ,
{ rw [snoc_cast_succ], exact (cast_heq _ _).symm },
{ apply congr_arg_heq,
rw [succ_above_last] }
end
@[simp] lemma insert_nth_last' (x : β) (p : fin n → β) :
@insert_nth _ (λ _, β) (last n) x p = snoc p x :=
by simp [insert_nth_last]
@[simp] lemma insert_nth_zero_right [Π j, has_zero (α j)] (i : fin (n + 1)) (x : α i) :
i.insert_nth x 0 = pi.single i x :=
insert_nth_eq_iff.2 $ by simp [succ_above_ne, pi.zero_def]
lemma insert_nth_binop (op : Π j, α j → α j → α j) (i : fin (n + 1))
(x y : α i) (p q : Π j, α (i.succ_above j)) :
i.insert_nth (op i x y) (λ j, op _ (p j) (q j)) =
λ j, op j (i.insert_nth x p j) (i.insert_nth y q j) :=
insert_nth_eq_iff.2 $ by simp
@[simp] lemma insert_nth_mul [Π j, has_mul (α j)] (i : fin (n + 1))
(x y : α i) (p q : Π j, α (i.succ_above j)) :
i.insert_nth (x * y) (p * q) = i.insert_nth x p * i.insert_nth y q :=
insert_nth_binop (λ _, (*)) i x y p q
@[simp] lemma insert_nth_add [Π j, has_add (α j)] (i : fin (n + 1))
(x y : α i) (p q : Π j, α (i.succ_above j)) :
i.insert_nth (x + y) (p + q) = i.insert_nth x p + i.insert_nth y q :=
insert_nth_binop (λ _, (+)) i x y p q
@[simp] lemma insert_nth_div [Π j, has_div (α j)] (i : fin (n + 1))
(x y : α i) (p q : Π j, α (i.succ_above j)) :
i.insert_nth (x / y) (p / q) = i.insert_nth x p / i.insert_nth y q :=
insert_nth_binop (λ _, (/)) i x y p q
@[simp] lemma insert_nth_sub [Π j, has_sub (α j)] (i : fin (n + 1))
(x y : α i) (p q : Π j, α (i.succ_above j)) :
i.insert_nth (x - y) (p - q) = i.insert_nth x p - i.insert_nth y q :=
insert_nth_binop (λ _, has_sub.sub) i x y p q
@[simp] lemma insert_nth_sub_same [Π j, add_group (α j)] (i : fin (n + 1))
(x y : α i) (p : Π j, α (i.succ_above j)) :
i.insert_nth x p - i.insert_nth y p = pi.single i (x - y) :=
by simp_rw [← insert_nth_sub, ← insert_nth_zero_right, pi.sub_def, sub_self, pi.zero_def]
variables [Π i, preorder (α i)]
lemma insert_nth_le_iff {i : fin (n + 1)} {x : α i} {p : Π j, α (i.succ_above j)} {q : Π j, α j} :
i.insert_nth x p ≤ q ↔ x ≤ q i ∧ p ≤ (λ j, q (i.succ_above j)) :=
by simp [pi.le_def, forall_iff_succ_above i]
lemma le_insert_nth_iff {i : fin (n + 1)} {x : α i} {p : Π j, α (i.succ_above j)} {q : Π j, α j} :
q ≤ i.insert_nth x p ↔ q i ≤ x ∧ (λ j, q (i.succ_above j)) ≤ p :=
by simp [pi.le_def, forall_iff_succ_above i]
open set
lemma insert_nth_mem_Icc {i : fin (n + 1)} {x : α i} {p : Π j, α (i.succ_above j)}
{q₁ q₂ : Π j, α j} :
i.insert_nth x p ∈ Icc q₁ q₂ ↔
x ∈ Icc (q₁ i) (q₂ i) ∧ p ∈ Icc (λ j, q₁ (i.succ_above j)) (λ j, q₂ (i.succ_above j)) :=
by simp only [mem_Icc, insert_nth_le_iff, le_insert_nth_iff, and.assoc, and.left_comm]
lemma preimage_insert_nth_Icc_of_mem {i : fin (n + 1)} {x : α i} {q₁ q₂ : Π j, α j}
(hx : x ∈ Icc (q₁ i) (q₂ i)) :
i.insert_nth x ⁻¹' (Icc q₁ q₂) = Icc (λ j, q₁ (i.succ_above j)) (λ j, q₂ (i.succ_above j)) :=
set.ext $ λ p, by simp only [mem_preimage, insert_nth_mem_Icc, hx, true_and]
lemma preimage_insert_nth_Icc_of_not_mem {i : fin (n + 1)} {x : α i} {q₁ q₂ : Π j, α j}
(hx : x ∉ Icc (q₁ i) (q₂ i)) :
i.insert_nth x ⁻¹' (Icc q₁ q₂) = ∅ :=
set.ext $ λ p, by simp only [mem_preimage, insert_nth_mem_Icc, hx, false_and, mem_empty_eq]
end insert_nth
section find
/-- `find p` returns the first index `n` where `p n` is satisfied, and `none` if it is never
satisfied. -/
def find : Π {n : ℕ} (p : fin n → Prop) [decidable_pred p], option (fin n)
| 0 p _ := none
| (n+1) p _ := by resetI; exact option.cases_on
(@find n (λ i, p (i.cast_lt (nat.lt_succ_of_lt i.2))) _)
(if h : p (fin.last n) then some (fin.last n) else none)
(λ i, some (i.cast_lt (nat.lt_succ_of_lt i.2)))
/-- If `find p = some i`, then `p i` holds -/
lemma find_spec : Π {n : ℕ} (p : fin n → Prop) [decidable_pred p] {i : fin n}
(hi : i ∈ by exactI fin.find p), p i
| 0 p I i hi := option.no_confusion hi
| (n+1) p I i hi := begin
dsimp [find] at hi,
resetI,
cases h : find (λ i : fin n, (p (i.cast_lt (nat.lt_succ_of_lt i.2)))) with j,
{ rw h at hi,
dsimp at hi,
split_ifs at hi with hl hl,
{ exact option.some_inj.1 hi ▸ hl },
{ exact option.no_confusion hi } },
{ rw h at hi,
rw [← option.some_inj.1 hi],
exact find_spec _ h }
end
/-- `find p` does not return `none` if and only if `p i` holds at some index `i`. -/
lemma is_some_find_iff : Π {n : ℕ} {p : fin n → Prop} [decidable_pred p],
by exactI (find p).is_some ↔ ∃ i, p i
| 0 p _ := iff_of_false (λ h, bool.no_confusion h) (λ ⟨i, _⟩, fin_zero_elim i)
| (n+1) p _ := ⟨λ h, begin
rw [option.is_some_iff_exists] at h,
cases h with i hi,
exactI ⟨i, find_spec _ hi⟩
end, λ ⟨⟨i, hin⟩, hi⟩,
begin
resetI,
dsimp [find],
cases h : find (λ i : fin n, (p (i.cast_lt (nat.lt_succ_of_lt i.2)))) with j,
{ split_ifs with hl hl,
{ exact option.is_some_some },
{ have := (@is_some_find_iff n (λ x, p (x.cast_lt (nat.lt_succ_of_lt x.2))) _).2
⟨⟨i, lt_of_le_of_ne (nat.le_of_lt_succ hin)
(λ h, by clear_aux_decl; cases h; exact hl hi)⟩, hi⟩,
rw h at this,
exact this } },
{ simp }
end⟩
/-- `find p` returns `none` if and only if `p i` never holds. -/
lemma find_eq_none_iff {n : ℕ} {p : fin n → Prop} [decidable_pred p] :
find p = none ↔ ∀ i, ¬ p i :=
by rw [← not_exists, ← is_some_find_iff]; cases (find p); simp
/-- If `find p` returns `some i`, then `p j` does not hold for `j < i`, i.e., `i` is minimal among
the indices where `p` holds. -/
lemma find_min : Π {n : ℕ} {p : fin n → Prop} [decidable_pred p] {i : fin n}
(hi : i ∈ by exactI fin.find p) {j : fin n} (hj : j < i), ¬ p j
| 0 p _ i hi j hj hpj := option.no_confusion hi
| (n+1) p _ i hi ⟨j, hjn⟩ hj hpj := begin
resetI,
dsimp [find] at hi,
cases h : find (λ i : fin n, (p (i.cast_lt (nat.lt_succ_of_lt i.2)))) with k,
{ rw [h] at hi,
split_ifs at hi with hl hl,
{ have := option.some_inj.1 hi,
subst this,
rw [find_eq_none_iff] at h,
exact h ⟨j, hj⟩ hpj },
{ exact option.no_confusion hi } },
{ rw h at hi,
dsimp at hi,
have := option.some_inj.1 hi,
subst this,
exact find_min h (show (⟨j, lt_trans hj k.2⟩ : fin n) < k, from hj) hpj }
end
lemma find_min' {p : fin n → Prop} [decidable_pred p] {i : fin n}
(h : i ∈ fin.find p) {j : fin n} (hj : p j) : i ≤ j :=
le_of_not_gt (λ hij, find_min h hij hj)
lemma nat_find_mem_find {p : fin n → Prop} [decidable_pred p]
(h : ∃ i, ∃ hin : i < n, p ⟨i, hin⟩) :
(⟨nat.find h, (nat.find_spec h).fst⟩ : fin n) ∈ find p :=
let ⟨i, hin, hi⟩ := h in
begin
cases hf : find p with f,
{ rw [find_eq_none_iff] at hf,
exact (hf ⟨i, hin⟩ hi).elim },
{ refine option.some_inj.2 (le_antisymm _ _),
{ exact find_min' hf (nat.find_spec h).snd },
{ exact nat.find_min' _ ⟨f.2, by convert find_spec p hf;
exact fin.eta _ _⟩ } }
end
lemma mem_find_iff {p : fin n → Prop} [decidable_pred p] {i : fin n} :
i ∈ fin.find p ↔ p i ∧ ∀ j, p j → i ≤ j :=
⟨λ hi, ⟨find_spec _ hi, λ _, find_min' hi⟩,
begin
rintros ⟨hpi, hj⟩,
cases hfp : fin.find p,
{ rw [find_eq_none_iff] at hfp,
exact (hfp _ hpi).elim },
{ exact option.some_inj.2 (le_antisymm (find_min' hfp hpi) (hj _ (find_spec _ hfp))) }
end⟩
lemma find_eq_some_iff {p : fin n → Prop} [decidable_pred p] {i : fin n} :
fin.find p = some i ↔ p i ∧ ∀ j, p j → i ≤ j :=
mem_find_iff
lemma mem_find_of_unique {p : fin n → Prop} [decidable_pred p]
(h : ∀ i j, p i → p j → i = j) {i : fin n} (hi : p i) : i ∈ fin.find p :=
mem_find_iff.2 ⟨hi, λ j hj, le_of_eq $ h i j hi hj⟩
end find
end fin
|
a15aeecccd628dea43aada0f9d9f7167b266306c | 957a80ea22c5abb4f4670b250d55534d9db99108 | /tests/lean/run/match3.lean | d07e0f0c96145ee1e410ded162ced8dc10a2c645 | [
"Apache-2.0"
] | permissive | GaloisInc/lean | aa1e64d604051e602fcf4610061314b9a37ab8cd | f1ec117a24459b59c6ff9e56a1d09d9e9e60a6c0 | refs/heads/master | 1,592,202,909,807 | 1,504,624,387,000 | 1,504,624,387,000 | 75,319,626 | 2 | 1 | Apache-2.0 | 1,539,290,164,000 | 1,480,616,104,000 | C++ | UTF-8 | Lean | false | false | 1,046 | lean | open nat
definition foo (a : nat) : nat :=
match a with
| 0 := 0
| (succ n) := n
end
example : foo 3 = 2 := rfl
open decidable
protected theorem dec_eq : ∀ x y : nat, decidable (x = y)
| 0 0 := is_true rfl
| (succ x) 0 := is_false (λ h, nat.no_confusion h)
| 0 (succ y) := is_false (λ h, nat.no_confusion h)
| (succ x) (succ y) :=
match (dec_eq x y) with
| (is_true H) := is_true (eq.rec_on H rfl)
| (is_false H) := is_false (λ h : succ x = succ y, nat.no_confusion h (λ heq : x = y, absurd heq H))
end
section
open list
parameter {A : Type}
parameter (p : A → Prop)
parameter [H : decidable_pred p]
include H
definition filter : list A → list A
| nil := nil
| (a :: l) :=
match (H a) with
| (is_true h) := a :: filter l
| (is_false h) := filter l
end
theorem filter_nil : filter nil = nil :=
rfl
end
definition sub2 (a : nat) : nat :=
match a with
| 0 := 0
| 1 := 0
| (b+2) := b
end
example (a : nat) : sub2 (succ (succ a)) = a := rfl
|
c8aac23f2aa0171b6eb435b9b2d7b74e96ab080a | c777c32c8e484e195053731103c5e52af26a25d1 | /src/ring_theory/polynomial/hermite/basic.lean | 4a6d951db090cf7ac33ab2a78779ba62e418b725 | [
"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 | 3,875 | lean | /-
Copyright (c) 2023 Luke Mantle. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Luke Mantle
-/
import data.polynomial.derivative
import data.nat.parity
/-!
# Hermite polynomials
This file defines `polynomial.hermite n`, the nth probabilist's Hermite polynomial.
## Main definitions
* `polynomial.hermite n`: the `n`th probabilist's Hermite polynomial,
defined recursively as a `polynomial ℤ`
## Results
* `polynomial.hermite_succ`: the recursion `hermite (n+1) = (x - d/dx) (hermite n)`
* `polynomial.coeff_hermite_of_odd_add`: for `n`,`k` where `n+k` is odd, `(hermite n).coeff k` is
zero.
* `polynomial.monic_hermite`: for all `n`, `hermite n` is monic.
## References
* [Hermite Polynomials](https://en.wikipedia.org/wiki/Hermite_polynomials)
-/
noncomputable theory
open polynomial
namespace polynomial
/-- the nth probabilist's Hermite polynomial -/
noncomputable def hermite : ℕ → polynomial ℤ
| 0 := 1
| (n+1) := X * (hermite n) - (hermite n).derivative
/-- The recursion `hermite (n+1) = (x - d/dx) (hermite n)` -/
@[simp] lemma hermite_succ (n : ℕ) : hermite (n+1) = X * (hermite n) - (hermite n).derivative :=
by rw hermite
lemma hermite_eq_iterate (n : ℕ) : hermite n = ((λ p, X*p - p.derivative)^[n] 1) :=
begin
induction n with n ih,
{ refl },
{ rw [function.iterate_succ_apply', ← ih, hermite_succ] }
end
@[simp] lemma hermite_zero : hermite 0 = C 1 := rfl
@[simp] lemma hermite_one : hermite 1 = X :=
begin
rw [hermite_succ, hermite_zero],
simp only [map_one, mul_one, derivative_one, sub_zero]
end
/-! ### Lemmas about `polynomial.coeff` -/
section coeff
lemma coeff_hermite_succ_zero (n : ℕ) :
coeff (hermite (n + 1)) 0 = -(coeff (hermite n) 1) := by simp [coeff_derivative]
lemma coeff_hermite_succ_succ (n k : ℕ) :
coeff (hermite (n + 1)) (k + 1) = coeff (hermite n) k - (k + 2) * (coeff (hermite n) (k + 2)) :=
begin
rw [hermite_succ, coeff_sub, coeff_X_mul, coeff_derivative, mul_comm],
norm_cast
end
lemma coeff_hermite_of_lt {n k : ℕ} (hnk : n < k) : coeff (hermite n) k = 0 :=
begin
obtain ⟨k, rfl⟩ := nat.exists_eq_add_of_lt hnk,
clear hnk,
induction n with n ih generalizing k,
{ apply coeff_C },
{ have : n + k + 1 + 2 = n + (k + 2) + 1 := by ring,
rw [nat.succ_eq_add_one, coeff_hermite_succ_succ, add_right_comm, this, ih k, ih (k + 2),
mul_zero, sub_zero] }
end
@[simp] lemma coeff_hermite_self (n : ℕ) : coeff (hermite n) n = 1 :=
begin
induction n with n ih,
{ apply coeff_C },
{ rw [coeff_hermite_succ_succ, ih, coeff_hermite_of_lt, mul_zero, sub_zero],
simp }
end
@[simp] lemma degree_hermite (n : ℕ) : (hermite n).degree = n :=
begin
rw degree_eq_of_le_of_coeff_ne_zero,
simp_rw [degree_le_iff_coeff_zero, with_bot.coe_lt_coe],
{ intro m,
exact coeff_hermite_of_lt },
{ simp [coeff_hermite_self n] }
end
@[simp] lemma nat_degree_hermite {n : ℕ} : (hermite n).nat_degree = n :=
nat_degree_eq_of_degree_eq_some (degree_hermite n)
@[simp] lemma leading_coeff_hermite (n : ℕ) : (hermite n).leading_coeff = 1 :=
begin
rw [← coeff_nat_degree, nat_degree_hermite, coeff_hermite_self],
end
lemma hermite_monic (n : ℕ) : (hermite n).monic := leading_coeff_hermite n
lemma coeff_hermite_of_odd_add {n k : ℕ} (hnk : odd (n + k)) : coeff (hermite n) k = 0 :=
begin
induction n with n ih generalizing k,
{ rw zero_add at hnk,
exact coeff_hermite_of_lt hnk.pos },
{ cases k,
{ rw nat.succ_add_eq_succ_add at hnk,
rw [coeff_hermite_succ_zero, ih hnk, neg_zero] },
{ rw [coeff_hermite_succ_succ, ih, ih, mul_zero, sub_zero],
{ rwa [nat.succ_add_eq_succ_add] at hnk },
{ rw (by rw [nat.succ_add, nat.add_succ] : n.succ + k.succ = n + k + 2) at hnk,
exact (nat.odd_add.mp hnk).mpr even_two }}}
end
end coeff
end polynomial
|
644f96f6f58893dc5555e1e86e16c74af500a906 | 80cc5bf14c8ea85ff340d1d747a127dcadeb966f | /src/measure_theory/haar_measure.lean | c16544c214a75750ae4b0b675de11c27072ab40c | [
"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 | 29,883 | lean | /-
Copyright (c) 2020 Floris van Doorn. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Floris van Doorn
-/
import measure_theory.content
import measure_theory.group
/-!
# Haar measure
In this file we prove the existence of Haar measure for a locally compact Hausdorff topological
group.
For the construction, we follow the write-up by Jonathan Gleason,
*Existence and Uniqueness of Haar Measure*.
This is essentially the same argument as in
https://en.wikipedia.org/wiki/Haar_measure#A_construction_using_compact_subsets.
We construct the Haar measure first on compact sets. For this we define `(K : U)` as the (smallest)
number of left-translates of `U` are needed to cover `K` (`index` in the formalization).
Then we define the Haar measure on compact sets as `lim_U (K : U) / (K₀ : U)`,
where `U` ranges over open neighborhoods of `1`, and `K₀` is a fixed compact set with nonempty
interior. This is `chaar` in the formalization, and we prove that the limit exists by Tychonoff's
theorem.
The Haar measure on compact sets forms a content, which we can extend to an outer measure
(`haar_outer_measure`), and obtain the Haar measure from that (`haar_measure`).
We normalize the Haar measure so that the measure of `K₀` is `1`.
## Main Declarations
* `haar_measure`: the Haar measure on a locally compact Hausdorff group. This is a left invariant
regular measure. It takes as argument a compact set of the group (with non-empty interior),
and is normalized so that the measure of the given set is 1.
* `haar_measure_self`: the Haar measure is normalized.
* `is_left_invariant_haar_measure`: the Haar measure is left invariant.
* `regular_haar_measure`: the Haar measure is a regular measure.
## References
* Paul Halmos (1950), Measure Theory, §53
* Jonathan Gleason, Existence and Uniqueness of Haar Measure
- Note: step 9, page 8 contains a mistake: the last defined `μ` does not extend the `μ` on compact
sets, see Halmos (1950) p. 233, bottom of the page. This makes some other steps (like step 11)
invalid.
* https://en.wikipedia.org/wiki/Haar_measure
-/
noncomputable theory
open set has_inv function topological_space measurable_space
open_locale nnreal classical
variables {G : Type*} [group G]
namespace measure_theory
namespace measure
/-! We put the internal functions in the construction of the Haar measure in a namespace,
so that the chosen names don't clash with other declarations.
We first define a couple of the functions before proving the properties (that require that `G`
is a topological group). -/
namespace haar
/-- The index or Haar covering number or ratio of `K` w.r.t. `V`, denoted `(K : V)`:
it is the smallest number of (left) translates of `V` that is necessary to cover `K`.
It is defined to be 0 if no finite number of translates cover `K`. -/
def index (K V : set G) : ℕ :=
Inf $ finset.card '' {t : finset G | K ⊆ ⋃ g ∈ t, (λ h, g * h) ⁻¹' V }
lemma index_empty {V : set G} : index ∅ V = 0 :=
begin
simp only [index, nat.Inf_eq_zero], left, use ∅,
simp only [finset.card_empty, empty_subset, mem_set_of_eq, eq_self_iff_true, and_self],
end
variables [topological_space G]
/-- `prehaar K₀ U K` is a weighted version of the index, defined as `(K : U)/(K₀ : U)`.
In the applications `K₀` is compact with non-empty interior, `U` is open containing `1`,
and `K` is any compact set.
The argument `K` is a (bundled) compact set, so that we can consider `prehaar K₀ U` as an
element of `haar_product` (below). -/
def prehaar (K₀ U : set G) (K : compacts G) : ℝ := (index K.1 U : ℝ) / index K₀ U
lemma prehaar_empty (K₀ : positive_compacts G) {U : set G} : prehaar K₀.1 U ⊥ = 0 :=
by { simp only [prehaar, compacts.bot_val, index_empty, nat.cast_zero, zero_div] }
lemma prehaar_nonneg (K₀ : positive_compacts G) {U : set G} (K : compacts G) :
0 ≤ prehaar K₀.1 U K :=
by apply div_nonneg; norm_cast; apply zero_le
/-- `haar_product K₀` is the product of intervals `[0, (K : K₀)]`, for all compact sets `K`.
For all `U`, we can show that `prehaar K₀ U ∈ haar_product K₀`. -/
def haar_product (K₀ : set G) : set (compacts G → ℝ) :=
pi univ (λ K, Icc 0 $ index K.1 K₀)
@[simp] lemma mem_prehaar_empty {K₀ : set G} {f : compacts G → ℝ} :
f ∈ haar_product K₀ ↔ ∀ K : compacts G, f K ∈ Icc (0 : ℝ) (index K.1 K₀) :=
by simp only [haar_product, pi, forall_prop_of_true, mem_univ, mem_set_of_eq]
/-- The closure of the collection of elements of the form `prehaar K₀ U`,
for `U` open neighbourhoods of `1`, contained in `V`. The closure is taken in the space
`compacts G → ℝ`, with the topology of pointwise convergence.
We show that the intersection of all these sets is nonempty, and the Haar measure
on compact sets is defined to be an element in the closure of this intersection. -/
def cl_prehaar (K₀ : set G) (V : open_nhds_of (1 : G)) : set (compacts G → ℝ) :=
closure $ prehaar K₀ '' { U : set G | U ⊆ V.1 ∧ is_open U ∧ (1 : G) ∈ U }
variables [topological_group G]
/-!
### Lemmas about `index`
-/
/-- If `K` is compact and `V` has nonempty interior, then the index `(K : V)` is well-defined,
there is a finite set `t` satisfying the desired properties. -/
lemma index_defined {K V : set G} (hK : is_compact K) (hV : (interior V).nonempty) :
∃ n : ℕ, n ∈ finset.card '' {t : finset G | K ⊆ ⋃ g ∈ t, (λ h, g * h) ⁻¹' V } :=
by { rcases compact_covered_by_mul_left_translates hK hV with ⟨t, ht⟩, exact ⟨t.card, t, ht, rfl⟩ }
lemma index_elim {K V : set G} (hK : is_compact K) (hV : (interior V).nonempty) :
∃ (t : finset G), K ⊆ (⋃ g ∈ t, (λ h, g * h) ⁻¹' V) ∧ finset.card t = index K V :=
by { have := nat.Inf_mem (index_defined hK hV), rwa [mem_image] at this }
lemma le_index_mul (K₀ : positive_compacts G) (K : compacts G) {V : set G}
(hV : (interior V).nonempty) : index K.1 V ≤ index K.1 K₀.1 * index K₀.1 V :=
begin
rcases index_elim K.2 K₀.2.2 with ⟨s, h1s, h2s⟩,
rcases index_elim K₀.2.1 hV with ⟨t, h1t, h2t⟩,
rw [← h2s, ← h2t, mul_comm],
refine le_trans _ finset.mul_card_le,
apply nat.Inf_le, refine ⟨_, _, rfl⟩, rw [mem_set_of_eq], refine subset.trans h1s _,
apply bUnion_subset, intros g₁ hg₁, rw preimage_subset_iff, intros g₂ hg₂,
have := h1t hg₂,
rcases this with ⟨_, ⟨g₃, rfl⟩, A, ⟨hg₃, rfl⟩, h2V⟩, rw [mem_preimage, ← mul_assoc] at h2V,
exact mem_bUnion (finset.mul_mem_mul hg₃ hg₁) h2V
end
lemma index_pos (K : positive_compacts G) {V : set G} (hV : (interior V).nonempty) :
0 < index K.1 V :=
begin
unfold index, rw [nat.Inf_def, nat.find_pos, mem_image],
{ rintro ⟨t, h1t, h2t⟩, rw [finset.card_eq_zero] at h2t, subst h2t,
cases K.2.2 with g hg,
show g ∈ (∅ : set G), convert h1t (interior_subset hg), symmetry, apply bUnion_empty },
{ exact index_defined K.2.1 hV }
end
lemma index_mono {K K' V : set G} (hK' : is_compact K') (h : K ⊆ K')
(hV : (interior V).nonempty) : index K V ≤ index K' V :=
begin
rcases index_elim hK' hV with ⟨s, h1s, h2s⟩,
apply nat.Inf_le, rw [mem_image], refine ⟨s, subset.trans h h1s, h2s⟩
end
lemma index_union_le (K₁ K₂ : compacts G) {V : set G} (hV : (interior V).nonempty) :
index (K₁.1 ∪ K₂.1) V ≤ index K₁.1 V + index K₂.1 V :=
begin
rcases index_elim K₁.2 hV with ⟨s, h1s, h2s⟩,
rcases index_elim K₂.2 hV with ⟨t, h1t, h2t⟩,
rw [← h2s, ← h2t],
refine le_trans _ (finset.card_union_le _ _),
apply nat.Inf_le, refine ⟨_, _, rfl⟩, rw [mem_set_of_eq],
apply union_subset; refine subset.trans (by assumption) _; apply bUnion_subset_bUnion_left;
intros g hg; simp only [mem_def] at hg;
simp only [mem_def, multiset.mem_union, finset.union_val, hg, or_true, true_or]
end
lemma index_union_eq (K₁ K₂ : compacts G) {V : set G} (hV : (interior V).nonempty)
(h : disjoint (K₁.1 * V⁻¹) (K₂.1 * V⁻¹)) :
index (K₁.1 ∪ K₂.1) V = index K₁.1 V + index K₂.1 V :=
begin
apply le_antisymm (index_union_le K₁ K₂ hV),
rcases index_elim (K₁.2.union K₂.2) hV with ⟨s, h1s, h2s⟩, rw [← h2s],
have : ∀(K : set G) , K ⊆ (⋃ g ∈ s, (λ h, g * h) ⁻¹' V) →
index K V ≤ (s.filter (λ g, ((λ (h : G), g * h) ⁻¹' V ∩ K).nonempty)).card,
{ intros K hK, apply nat.Inf_le, refine ⟨_, _, rfl⟩, rw [mem_set_of_eq],
intros g hg, rcases hK hg with ⟨_, ⟨g₀, rfl⟩, _, ⟨h1g₀, rfl⟩, h2g₀⟩,
simp only [mem_preimage] at h2g₀,
simp only [mem_Union], use g₀, split,
{ simp only [finset.mem_filter, h1g₀, true_and], use g,
simp only [hg, h2g₀, mem_inter_eq, mem_preimage, and_self] },
exact h2g₀ },
refine le_trans (add_le_add (this K₁.1 $ subset.trans (subset_union_left _ _) h1s)
(this K₂.1 $ subset.trans (subset_union_right _ _) h1s)) _,
rw [← finset.card_union_eq, finset.filter_union_right],
{ apply finset.card_le_of_subset, apply finset.filter_subset },
apply finset.disjoint_filter.mpr,
rintro g₁ h1g₁ ⟨g₂, h1g₂, h2g₂⟩ ⟨g₃, h1g₃, h2g₃⟩,
simp only [mem_preimage] at h1g₃ h1g₂,
apply @h g₁⁻¹,
split; simp only [set.mem_inv, set.mem_mul, exists_exists_and_eq_and, exists_and_distrib_left],
{ refine ⟨_, h2g₂, (g₁ * g₂)⁻¹, _, _⟩, simp only [inv_inv, h1g₂],
simp only [mul_inv_rev, mul_inv_cancel_left] },
{ refine ⟨_, h2g₃, (g₁ * g₃)⁻¹, _, _⟩, simp only [inv_inv, h1g₃],
simp only [mul_inv_rev, mul_inv_cancel_left] }
end
lemma mul_left_index_le {K : set G} (hK : is_compact K) {V : set G} (hV : (interior V).nonempty)
(g : G) : index ((λ h, g * h) '' K) V ≤ index K V :=
begin
rcases index_elim hK hV with ⟨s, h1s, h2s⟩, rw [← h2s],
apply nat.Inf_le, rw [mem_image],
refine ⟨s.map (equiv.mul_right g⁻¹).to_embedding, _, finset.card_map _⟩,
{ simp only [mem_set_of_eq], refine subset.trans (image_subset _ h1s) _,
rintro _ ⟨g₁, ⟨_, ⟨g₂, rfl⟩, ⟨_, ⟨hg₂, rfl⟩, hg₁⟩⟩, rfl⟩,
simp only [mem_preimage] at hg₁, simp only [exists_prop, mem_Union, finset.mem_map,
equiv.coe_mul_right, exists_exists_and_eq_and, mem_preimage, equiv.to_embedding_to_fun],
refine ⟨_, hg₂, _⟩, simp only [mul_assoc, hg₁, inv_mul_cancel_left] }
end
lemma is_left_invariant_index {K : set G} (hK : is_compact K) {V : set G}
(hV : (interior V).nonempty) (g : G) : index ((λ h, g * h) '' K) V = index K V :=
begin
refine le_antisymm (mul_left_index_le hK hV g) _,
convert mul_left_index_le (hK.image $ continuous_mul_left g) hV g⁻¹,
rw [image_image], symmetry, convert image_id' _, ext h, apply inv_mul_cancel_left
end
/-!
### Lemmas about `prehaar`
-/
lemma prehaar_le_index (K₀ : positive_compacts G) {U : set G} (K : compacts G)
(hU : (interior U).nonempty) : prehaar K₀.1 U K ≤ index K.1 K₀.1 :=
begin
unfold prehaar, rw [div_le_iff]; norm_cast,
{ apply le_index_mul K₀ K hU },
{ exact index_pos K₀ hU }
end
lemma prehaar_pos (K₀ : positive_compacts G) {U : set G} (hU : (interior U).nonempty)
{K : set G} (h1K : is_compact K) (h2K : (interior K).nonempty) : 0 < prehaar K₀.1 U ⟨K, h1K⟩ :=
by { apply div_pos; norm_cast, apply index_pos ⟨K, h1K, h2K⟩ hU, exact index_pos K₀ hU }
lemma prehaar_mono {K₀ : positive_compacts G} {U : set G} (hU : (interior U).nonempty)
{K₁ K₂ : compacts G} (h : K₁.1 ⊆ K₂.1) : prehaar K₀.1 U K₁ ≤ prehaar K₀.1 U K₂ :=
begin
simp only [prehaar], rw [div_le_div_right], exact_mod_cast index_mono K₂.2 h hU,
exact_mod_cast index_pos K₀ hU
end
lemma prehaar_self {K₀ : positive_compacts G} {U : set G} (hU : (interior U).nonempty) :
prehaar K₀.1 U ⟨K₀.1, K₀.2.1⟩ = 1 :=
by { simp only [prehaar], rw [div_self], apply ne_of_gt, exact_mod_cast index_pos K₀ hU }
lemma prehaar_sup_le {K₀ : positive_compacts G} {U : set G} (K₁ K₂ : compacts G)
(hU : (interior U).nonempty) : prehaar K₀.1 U (K₁ ⊔ K₂) ≤ prehaar K₀.1 U K₁ + prehaar K₀.1 U K₂ :=
begin
simp only [prehaar], rw [div_add_div_same, div_le_div_right],
exact_mod_cast index_union_le K₁ K₂ hU, exact_mod_cast index_pos K₀ hU
end
lemma prehaar_sup_eq {K₀ : positive_compacts G} {U : set G} {K₁ K₂ : compacts G}
(hU : (interior U).nonempty) (h : disjoint (K₁.1 * U⁻¹) (K₂.1 * U⁻¹)) :
prehaar K₀.1 U (K₁ ⊔ K₂) = prehaar K₀.1 U K₁ + prehaar K₀.1 U K₂ :=
by { simp only [prehaar], rw [div_add_div_same], congr', exact_mod_cast index_union_eq K₁ K₂ hU h }
lemma is_left_invariant_prehaar {K₀ : positive_compacts G} {U : set G} (hU : (interior U).nonempty)
{K : compacts G} {g : G} : prehaar K₀.1 U (K.map _ $ continuous_mul_left g) = prehaar K₀.1 U K :=
by simp only [prehaar, compacts.map_val, is_left_invariant_index K.2 hU]
/-!
### Lemmas about `haar_product`
-/
lemma prehaar_mem_haar_product (K₀ : positive_compacts G) {U : set G}
(hU : (interior U).nonempty) : prehaar K₀.1 U ∈ haar_product K₀.1 :=
by { rintro ⟨K, hK⟩ h2K, rw [mem_Icc], exact ⟨prehaar_nonneg K₀ _, prehaar_le_index K₀ _ hU⟩ }
lemma nonempty_Inter_cl_prehaar (K₀ : positive_compacts G) :
(haar_product K₀.1 ∩ ⋂ (V : open_nhds_of (1 : G)), cl_prehaar K₀.1 V).nonempty :=
begin
have : is_compact (haar_product K₀.1), { apply compact_univ_pi, intro K, apply compact_Icc },
refine this.inter_Inter_nonempty (cl_prehaar K₀.1) (λ s, is_closed_closure) (λ t, _),
let V₀ := ⋂ (V ∈ t), (V : open_nhds_of 1).1,
have h1V₀ : is_open V₀,
{ apply is_open_bInter, apply finite_mem_finset, rintro ⟨V, hV⟩ h2V, exact hV.1 },
have h2V₀ : (1 : G) ∈ V₀, { simp only [mem_Inter], rintro ⟨V, hV⟩ h2V, exact hV.2 },
refine ⟨prehaar K₀.1 V₀, _⟩,
split,
{ apply prehaar_mem_haar_product K₀, use 1, rwa h1V₀.interior_eq },
{ simp only [mem_Inter], rintro ⟨V, hV⟩ h2V, apply subset_closure,
apply mem_image_of_mem, rw [mem_set_of_eq],
exact ⟨subset.trans (Inter_subset _ ⟨V, hV⟩) (Inter_subset _ h2V), h1V₀, h2V₀⟩ },
end
/-!
### The Haar measure on compact sets
-/
/-- The Haar measure on compact sets, defined to be an arbitrary element in the intersection of
all the sets `cl_prehaar K₀ V` in `haar_product K₀`. -/
def chaar (K₀ : positive_compacts G) (K : compacts G) : ℝ :=
classical.some (nonempty_Inter_cl_prehaar K₀) K
lemma chaar_mem_haar_product (K₀ : positive_compacts G) : chaar K₀ ∈ haar_product K₀.1 :=
(classical.some_spec (nonempty_Inter_cl_prehaar K₀)).1
lemma chaar_mem_cl_prehaar (K₀ : positive_compacts G) (V : open_nhds_of (1 : G)) :
chaar K₀ ∈ cl_prehaar K₀.1 V :=
by { have := (classical.some_spec (nonempty_Inter_cl_prehaar K₀)).2, rw [mem_Inter] at this,
exact this V }
lemma chaar_nonneg (K₀ : positive_compacts G) (K : compacts G) : 0 ≤ chaar K₀ K :=
by { have := chaar_mem_haar_product K₀ K (mem_univ _), rw mem_Icc at this, exact this.1 }
lemma chaar_empty (K₀ : positive_compacts G) : chaar K₀ ⊥ = 0 :=
begin
let eval : (compacts G → ℝ) → ℝ := λ f, f ⊥, have : continuous eval := continuous_apply ⊥,
show chaar K₀ ∈ eval ⁻¹' {(0 : ℝ)},
apply mem_of_subset_of_mem _ (chaar_mem_cl_prehaar K₀ ⟨set.univ, is_open_univ, mem_univ _⟩),
unfold cl_prehaar, rw is_closed.closure_subset_iff,
{ rintro _ ⟨U, ⟨h1U, h2U, h3U⟩, rfl⟩, apply prehaar_empty },
{ apply continuous_iff_is_closed.mp this, exact is_closed_singleton },
end
lemma chaar_self (K₀ : positive_compacts G) : chaar K₀ ⟨K₀.1, K₀.2.1⟩ = 1 :=
begin
let eval : (compacts G → ℝ) → ℝ := λ f, f ⟨K₀.1, K₀.2.1⟩,
have : continuous eval := continuous_apply _,
show chaar K₀ ∈ eval ⁻¹' {(1 : ℝ)},
apply mem_of_subset_of_mem _ (chaar_mem_cl_prehaar K₀ ⟨set.univ, is_open_univ, mem_univ _⟩),
unfold cl_prehaar, rw is_closed.closure_subset_iff,
{ rintro _ ⟨U, ⟨h1U, h2U, h3U⟩, rfl⟩, apply prehaar_self,
rw h2U.interior_eq, exact ⟨1, h3U⟩ },
{ apply continuous_iff_is_closed.mp this, exact is_closed_singleton }
end
lemma chaar_mono {K₀ : positive_compacts G} {K₁ K₂ : compacts G} (h : K₁.1 ⊆ K₂.1) :
chaar K₀ K₁ ≤ chaar K₀ K₂ :=
begin
let eval : (compacts G → ℝ) → ℝ := λ f, f K₂ - f K₁,
have : continuous eval := continuous_sub.comp
(continuous.prod_mk (continuous_apply K₂) (@continuous_apply _ (λ _, ℝ) _ K₁)),
rw [← sub_nonneg], show chaar K₀ ∈ eval ⁻¹' (Ici (0 : ℝ)),
apply mem_of_subset_of_mem _ (chaar_mem_cl_prehaar K₀ ⟨set.univ, is_open_univ, mem_univ _⟩),
unfold cl_prehaar, rw is_closed.closure_subset_iff,
{ rintro _ ⟨U, ⟨h1U, h2U, h3U⟩, rfl⟩, simp only [mem_preimage, mem_Ici, eval, sub_nonneg],
apply prehaar_mono _ h, rw h2U.interior_eq, exact ⟨1, h3U⟩ },
{ apply continuous_iff_is_closed.mp this, exact is_closed_Ici },
end
lemma chaar_sup_le {K₀ : positive_compacts G} (K₁ K₂ : compacts G) :
chaar K₀ (K₁ ⊔ K₂) ≤ chaar K₀ K₁ + chaar K₀ K₂ :=
begin
let eval : (compacts G → ℝ) → ℝ := λ f, f K₁ + f K₂ - f (K₁ ⊔ K₂),
have : continuous eval := continuous_sub.comp
(continuous.prod_mk (continuous_add.comp
(continuous.prod_mk (continuous_apply K₁) (@continuous_apply _ (λ _, ℝ) _ K₂)))
(@continuous_apply _ (λ _, ℝ) _(K₁ ⊔ K₂))),
rw [← sub_nonneg], show chaar K₀ ∈ eval ⁻¹' (Ici (0 : ℝ)),
apply mem_of_subset_of_mem _ (chaar_mem_cl_prehaar K₀ ⟨set.univ, is_open_univ, mem_univ _⟩),
unfold cl_prehaar, rw is_closed.closure_subset_iff,
{ rintro _ ⟨U, ⟨h1U, h2U, h3U⟩, rfl⟩, simp only [mem_preimage, mem_Ici, eval, sub_nonneg],
apply prehaar_sup_le, rw h2U.interior_eq, exact ⟨1, h3U⟩ },
{ apply continuous_iff_is_closed.mp this, exact is_closed_Ici },
end
lemma chaar_sup_eq [t2_space G] {K₀ : positive_compacts G} {K₁ K₂ : compacts G}
(h : disjoint K₁.1 K₂.1) : chaar K₀ (K₁ ⊔ K₂) = chaar K₀ K₁ + chaar K₀ K₂ :=
begin
rcases compact_compact_separated K₁.2 K₂.2 (disjoint_iff.mp h) with
⟨U₁, U₂, h1U₁, h1U₂, h2U₁, h2U₂, hU⟩,
rw [← disjoint_iff_inter_eq_empty] at hU,
rcases compact_open_separated_mul K₁.2 h1U₁ h2U₁ with ⟨V₁, h1V₁, h2V₁, h3V₁⟩,
rcases compact_open_separated_mul K₂.2 h1U₂ h2U₂ with ⟨V₂, h1V₂, h2V₂, h3V₂⟩,
let eval : (compacts G → ℝ) → ℝ := λ f, f K₁ + f K₂ - f (K₁ ⊔ K₂),
have : continuous eval := continuous_sub.comp
(continuous.prod_mk (continuous_add.comp
(continuous.prod_mk (continuous_apply K₁) (@continuous_apply _ (λ _, ℝ) _ K₂)))
(@continuous_apply _ (λ _, ℝ) _(K₁ ⊔ K₂))),
rw [eq_comm, ← sub_eq_zero], show chaar K₀ ∈ eval ⁻¹' {(0 : ℝ)},
let V := V₁ ∩ V₂,
apply mem_of_subset_of_mem _ (chaar_mem_cl_prehaar K₀
⟨V⁻¹, continuous_inv V (is_open_inter h1V₁ h1V₂),
by simp only [mem_inv, one_inv, h2V₁, h2V₂, V, mem_inter_eq, true_and]⟩),
unfold cl_prehaar, rw is_closed.closure_subset_iff,
{ rintro _ ⟨U, ⟨h1U, h2U, h3U⟩, rfl⟩,
simp only [mem_preimage, eval, sub_eq_zero, mem_singleton_iff], rw [eq_comm],
apply prehaar_sup_eq,
{ rw h2U.interior_eq, exact ⟨1, h3U⟩ },
{ refine disjoint_of_subset _ _ hU,
{ refine subset.trans (mul_subset_mul subset.rfl _) h3V₁,
exact subset.trans (inv_subset.mpr h1U) (inter_subset_left _ _) },
{ refine subset.trans (mul_subset_mul subset.rfl _) h3V₂,
exact subset.trans (inv_subset.mpr h1U) (inter_subset_right _ _) }}},
{ apply continuous_iff_is_closed.mp this, exact is_closed_singleton },
end
lemma is_left_invariant_chaar {K₀ : positive_compacts G} {K : compacts G} {g : G} :
chaar K₀ (K.map _ $ continuous_mul_left g) = chaar K₀ K :=
begin
let eval : (compacts G → ℝ) → ℝ := λ f, f (K.map _ $ continuous_mul_left g) - f K,
have : continuous eval := continuous_sub.comp
(continuous.prod_mk (continuous_apply (K.map _ _)) (@continuous_apply _ (λ _, ℝ) _ K)),
rw [← sub_eq_zero], show chaar K₀ ∈ eval ⁻¹' {(0 : ℝ)},
apply mem_of_subset_of_mem _ (chaar_mem_cl_prehaar K₀ ⟨set.univ, is_open_univ, mem_univ _⟩),
unfold cl_prehaar, rw is_closed.closure_subset_iff,
{ rintro _ ⟨U, ⟨h1U, h2U, h3U⟩, rfl⟩,
simp only [mem_singleton_iff, mem_preimage, eval, sub_eq_zero],
apply is_left_invariant_prehaar, rw h2U.interior_eq, exact ⟨1, h3U⟩ },
{ apply continuous_iff_is_closed.mp this, exact is_closed_singleton },
end
/-- The function `chaar` interpreted in `ennreal` -/
@[reducible] def echaar (K₀ : positive_compacts G) (K : compacts G) : ennreal :=
show nnreal, from ⟨chaar K₀ K, chaar_nonneg _ _⟩
/-- The variant of `chaar_sup_le` for `echaar` -/
lemma echaar_sup_le {K₀ : positive_compacts G} (K₁ K₂ : compacts G) :
echaar K₀ (K₁ ⊔ K₂) ≤ echaar K₀ K₁ + echaar K₀ K₂ :=
by { norm_cast, simp only [←nnreal.coe_le_coe, nnreal.coe_add, subtype.coe_mk, chaar_sup_le]}
/-- The variant of `chaar_mono` for `echaar` -/
lemma echaar_mono {K₀ : positive_compacts G} ⦃K₁ K₂ : compacts G⦄ (h : K₁.1 ⊆ K₂.1) :
echaar K₀ K₁ ≤ echaar K₀ K₂ :=
by { norm_cast, simp only [←nnreal.coe_le_coe, subtype.coe_mk, chaar_mono, h] }
end haar
open haar
/-!
### The Haar outer measure
-/
variables [topological_space G] [t2_space G] [topological_group G]
/-- The Haar outer measure on `G`. It is not normalized, and is mainly used to construct
`haar_measure`, which is a normalized measure. -/
def haar_outer_measure (K₀ : positive_compacts G) : outer_measure G :=
outer_measure.of_content (echaar K₀) $
by { rw echaar, norm_cast, rw [←nnreal.coe_eq, nnreal.coe_zero, subtype.coe_mk, chaar_empty] }
lemma haar_outer_measure_eq_infi (K₀ : positive_compacts G) (A : set G) :
haar_outer_measure K₀ A = ⨅ (U : set G) (hU : is_open U) (h : A ⊆ U),
inner_content (echaar K₀) ⟨U, hU⟩ :=
outer_measure.of_content_eq_infi echaar_sup_le A
lemma chaar_le_haar_outer_measure {K₀ : positive_compacts G} (K : compacts G) :
(show ℝ≥0, from ⟨chaar K₀ K, chaar_nonneg K₀ K⟩ : ennreal) ≤ haar_outer_measure K₀ K.1 :=
outer_measure.le_of_content_compacts echaar_sup_le K
lemma haar_outer_measure_of_is_open {K₀ : positive_compacts G} (U : set G) (hU : is_open U) :
haar_outer_measure K₀ U =
inner_content (λ K, show ℝ≥0, from ⟨chaar K₀ K, chaar_nonneg K₀ K⟩) ⟨U, hU⟩ :=
outer_measure.of_content_opens echaar_sup_le ⟨U, hU⟩
lemma haar_outer_measure_le_chaar {K₀ : positive_compacts G} {U : set G} (hU : is_open U)
(K : compacts G) (h : U ⊆ K.1) :
haar_outer_measure K₀ U ≤ show ℝ≥0, from ⟨chaar K₀ K, chaar_nonneg K₀ K⟩ :=
begin
rw haar_outer_measure_of_is_open U hU,
refine inner_content_le _ _ K h, intros K₁ K₂ hK,
norm_cast, rw [← nnreal.coe_le_coe], exact chaar_mono hK
end
lemma haar_outer_measure_exists_open {K₀ : positive_compacts G} {A : set G}
(hA : haar_outer_measure K₀ A < ⊤) {ε : ℝ≥0} (hε : 0 < ε) :
∃ U : opens G, A ⊆ U ∧ haar_outer_measure K₀ U ≤ haar_outer_measure K₀ A + ε :=
outer_measure.of_content_exists_open echaar_sup_le hA hε
lemma haar_outer_measure_exists_compact {K₀ : positive_compacts G} {U : opens G}
(hU : haar_outer_measure K₀ U < ⊤) {ε : ℝ≥0} (hε : 0 < ε) :
∃ K : compacts G, K.1 ⊆ U ∧ haar_outer_measure K₀ U ≤ haar_outer_measure K₀ K.1 + ε :=
outer_measure.of_content_exists_compact echaar_sup_le hU hε
lemma haar_outer_measure_caratheodory {K₀ : positive_compacts G} (A : set G) :
(haar_outer_measure K₀).caratheodory.is_measurable' A ↔ ∀ (U : opens G),
haar_outer_measure K₀ (U ∩ A) + haar_outer_measure K₀ (U \ A) ≤ haar_outer_measure K₀ U :=
outer_measure.of_content_caratheodory echaar_sup_le A
lemma one_le_haar_outer_measure_self {K₀ : positive_compacts G} : 1 ≤ haar_outer_measure K₀ K₀.1 :=
begin
rw [haar_outer_measure_eq_infi],
refine le_binfi _, intros U hU, refine le_infi _, intros h2U,
refine le_trans _ (le_supr _ ⟨K₀.1, K₀.2.1⟩), refine le_trans _ (le_supr _ h2U),
simp only [←nnreal.coe_le_coe, subtype.coe_mk, ennreal.one_le_coe_iff, nnreal.coe_one],
rw [chaar_self]
end
lemma haar_outer_measure_pos_of_is_open {K₀ : positive_compacts G}
{U : set G} (hU : is_open U) (h2U : U.nonempty) : 0 < haar_outer_measure K₀ U :=
begin
refine outer_measure.of_content_pos_of_is_open echaar_sup_le _ ⟨K₀.1, K₀.2.1⟩ _ hU h2U,
{ intros g K, simpa only [ennreal.coe_eq_coe, ←nnreal.coe_eq] using is_left_invariant_chaar },
simp only [ennreal.coe_pos, ←nnreal.coe_pos, chaar_self, zero_lt_one, subtype.coe_mk]
end
lemma haar_outer_measure_self_pos {K₀ : positive_compacts G} :
0 < haar_outer_measure K₀ K₀.1 :=
lt_of_lt_of_le (haar_outer_measure_pos_of_is_open is_open_interior K₀.2.2)
((haar_outer_measure K₀).mono interior_subset)
lemma haar_outer_measure_lt_top_of_is_compact [locally_compact_space G] {K₀ : positive_compacts G}
{K : set G} (hK : is_compact K) : haar_outer_measure K₀ K < ⊤ :=
begin
rcases exists_compact_superset hK with ⟨F, h1F, h2F⟩,
refine lt_of_le_of_lt ((haar_outer_measure K₀).mono h2F) _,
refine lt_of_le_of_lt (haar_outer_measure_le_chaar is_open_interior ⟨F, h1F⟩ interior_subset)
ennreal.coe_lt_top
end
variables [S : measurable_space G] [borel_space G]
include S
lemma haar_caratheodory_measurable (K₀ : positive_compacts G) :
S ≤ (haar_outer_measure K₀).caratheodory :=
begin
rw [@borel_space.measurable_eq G _ _], refine generate_from_le _,
intros U hU, rw haar_outer_measure_caratheodory, intro U',
rw haar_outer_measure_of_is_open ((U' : set G) ∩ U) (is_open_inter U'.prop hU),
simp only [inner_content, supr_subtype'], rw [opens.coe_mk],
haveI : nonempty {L : compacts G // L.1 ⊆ U' ∩ U} := ⟨⟨⊥, empty_subset _⟩⟩,
rw [ennreal.supr_add],
refine supr_le _, rintro ⟨L, hL⟩, simp only [subset_inter_iff] at hL,
have : ↑U' \ U ⊆ U' \ L.1 := diff_subset_diff_right hL.2,
refine le_trans (add_le_add_left ((haar_outer_measure K₀).mono' this) _) _,
rw haar_outer_measure_of_is_open (↑U' \ L.1) (is_open_diff U'.2 L.2.is_closed),
simp only [inner_content, supr_subtype'], rw [opens.coe_mk],
haveI : nonempty {M : compacts G // M.1 ⊆ ↑U' \ L.1} := ⟨⟨⊥, empty_subset _⟩⟩,
rw [ennreal.add_supr], refine supr_le _, rintro ⟨M, hM⟩, simp only [subset_diff] at hM,
have : (L ⊔ M).1 ⊆ U',
{ simp only [union_subset_iff, compacts.sup_val, hM, hL, and_self] },
rw haar_outer_measure_of_is_open ↑U' U'.2,
refine le_trans (ge_of_eq _) (le_inner_content _ _ this), norm_cast,
simp only [←nnreal.coe_eq, nnreal.coe_add, subtype.coe_mk], exact chaar_sup_eq hM.2.symm
end
/-!
### The Haar measure
-/
/-- the Haar measure on `G`, scaled so that `haar_measure K₀ K₀ = 1`. -/
def haar_measure (K₀ : positive_compacts G) : measure G :=
(haar_outer_measure K₀ K₀.1)⁻¹ •
(haar_outer_measure K₀).to_measure (haar_caratheodory_measurable K₀)
lemma haar_measure_apply {K₀ : positive_compacts G} {s : set G} (hs : is_measurable s) :
haar_measure K₀ s = haar_outer_measure K₀ s / haar_outer_measure K₀ K₀.1 :=
by { simp only [haar_measure, hs, ennreal.div_def, mul_comm, to_measure_apply,
algebra.id.smul_eq_mul, pi.smul_apply, measure.coe_smul] }
lemma is_left_invariant_haar_measure (K₀ : positive_compacts G) :
is_left_invariant (haar_measure K₀) :=
begin
intros g A hA, rw [haar_measure_apply hA, haar_measure_apply],
{ congr' 1, refine outer_measure.is_left_invariant_of_content echaar_sup_le _ g A,
intros g K, simpa only [ennreal.coe_eq_coe, ←nnreal.coe_eq] using is_left_invariant_chaar },
{ exact measurable_mul_left g hA }
end
lemma haar_measure_self [locally_compact_space G] {K₀ : positive_compacts G} :
haar_measure K₀ K₀.1 = 1 :=
begin
rw [haar_measure_apply K₀.2.1.is_measurable, ennreal.div_self],
{ rw [← zero_lt_iff_ne_zero], exact haar_outer_measure_self_pos },
{ exact ne_of_lt (haar_outer_measure_lt_top_of_is_compact K₀.2.1) }
end
lemma haar_measure_pos_of_is_open [locally_compact_space G] {K₀ : positive_compacts G}
{U : set G} (hU : is_open U) (h2U : U.nonempty) : 0 < haar_measure K₀ U :=
begin
rw [haar_measure_apply hU.is_measurable, ennreal.div_pos_iff],
refine ⟨_, ne_of_lt $ haar_outer_measure_lt_top_of_is_compact K₀.2.1⟩,
rw [← zero_lt_iff_ne_zero], apply haar_outer_measure_pos_of_is_open hU h2U
end
lemma regular_haar_measure [locally_compact_space G] {K₀ : positive_compacts G} :
(haar_measure K₀).regular :=
begin
apply measure.regular.smul, split,
{ intros K hK, rw [to_measure_apply _ _ hK.is_measurable],
apply haar_outer_measure_lt_top_of_is_compact hK },
{ intros A hA, rw [to_measure_apply _ _ hA, haar_outer_measure_eq_infi],
refine binfi_le_binfi _, intros U hU, refine infi_le_infi _, intro h2U,
rw [to_measure_apply _ _ hU.is_measurable, haar_outer_measure_of_is_open U hU], refl' },
{ intros U hU, rw [to_measure_apply _ _ hU.is_measurable, haar_outer_measure_of_is_open U hU],
dsimp only [inner_content], refine bsupr_le (λ K hK, _),
refine le_supr_of_le K.1 _, refine le_supr_of_le K.2 _, refine le_supr_of_le hK _,
rw [to_measure_apply _ _ K.2.is_measurable], apply chaar_le_haar_outer_measure },
{ rw ennreal.inv_lt_top, apply haar_outer_measure_self_pos }
end
end measure
end measure_theory
|
077458a02cf74763325103ea3d951d0fb32e8e0c | c45b34bfd44d8607a2e8762c926e3cfaa7436201 | /uexp/src/uexp/rules/aggregation.lean | 56d960c6a6aade4ed2854e3e154a6a620ca7db9a | [
"BSD-2-Clause"
] | permissive | Shamrock-Frost/Cosette | b477c442c07e45082348a145f19ebb35a7f29392 | 24cbc4adebf627f13f5eac878f04ffa20d1209af | refs/heads/master | 1,619,721,304,969 | 1,526,082,841,000 | 1,526,082,841,000 | 121,695,605 | 1 | 0 | null | 1,518,737,210,000 | 1,518,737,210,000 | null | UTF-8 | Lean | false | false | 1,103 | lean | import ..sql
import ..tactics
import ..u_semiring
import ..extra_constants
import ..cosette_tactics
open Expr
open Proj
open Pred
open SQL
open tree
theorem aggegation_query :
forall (Γ : Schema) s (a : relation s) C0 (value : Column C0 s) C1 (label: Column C1 s) (l : const C1),
let lbl : Expr (Γ ++ s) C1 := uvariable (right⋅label),
val : Expr (Γ ++ s) C0 := uvariable (right⋅value),
lbl' : Expr (Γ ++ (leaf C1 ++ leaf datatypes.int)) C1 := uvariable (right⋅left)
in (denoteSQL ((SELECT *
FROM1
(SELECT (combineGroupByProj PLAIN(lbl) COUNT(val))
FROM1 (table a)
GROUP BY (right⋅label))
WHERE equal lbl' (constantExpr l)) : SQL Γ _)) =
(denoteSQL ((SELECT *
FROM1
(SELECT (combineGroupByProj PLAIN(lbl) COUNT(val))
FROM1 (SELECT * FROM1 (table a) WHERE equal lbl (constantExpr l))
GROUP BY (right⋅label))) : SQL Γ _)) :=
begin
intros,
unfold_all_denotations,
simp,
funext,
sorry
end |
bdeac741e49ce40277c5faf77e99445c53a76379 | 957a80ea22c5abb4f4670b250d55534d9db99108 | /library/init/meta/fun_info.lean | 430cffb85d88222865a5b18f02f812b312022be5 | [
"Apache-2.0"
] | permissive | GaloisInc/lean | aa1e64d604051e602fcf4610061314b9a37ab8cd | f1ec117a24459b59c6ff9e56a1d09d9e9e60a6c0 | refs/heads/master | 1,592,202,909,807 | 1,504,624,387,000 | 1,504,624,387,000 | 75,319,626 | 2 | 1 | Apache-2.0 | 1,539,290,164,000 | 1,480,616,104,000 | C++ | UTF-8 | Lean | false | false | 4,394 | lean | /-
Copyright (c) 2016 Microsoft Corporation. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Leonardo de Moura
-/
prelude
import init.meta.tactic init.meta.format init.function
structure param_info :=
(is_implicit : bool)
(is_inst_implicit : bool)
(is_prop : bool)
(has_fwd_deps : bool)
(back_deps : list nat) -- previous parameters it depends on
open format list decidable
private meta def ppfield {α : Type} [has_to_format α] (fname : string) (v : α) : format :=
group $ to_fmt fname ++ space ++ to_fmt ":=" ++ space ++ nest (fname.utf8_length + 4) (to_fmt v)
private meta def concat_fields (f₁ f₂ : format) : format :=
if is_nil f₁ then f₂
else if is_nil f₂ then f₁
else f₁ ++ to_fmt "," ++ line ++ f₂
local infix `+++`:65 := concat_fields
meta def param_info.to_format : param_info → format
| (param_info.mk i ii p d ds) :=
group ∘ cbrace $
when i "implicit" +++
when ii "inst_implicit" +++
when p "prop" +++
when d "has_fwd_deps" +++
when (length ds > 0) (to_fmt "back_deps := " ++ to_fmt ds)
meta instance : has_to_format param_info :=
has_to_format.mk param_info.to_format
structure fun_info :=
(params : list param_info)
(result_deps : list nat) -- parameters the result type depends on
meta def fun_info_to_format : fun_info → format
| (fun_info.mk ps ds) :=
group ∘ dcbrace $
ppfield "params" ps +++
ppfield "result_deps" ds
meta instance : has_to_format fun_info :=
has_to_format.mk fun_info_to_format
/--
specialized is true if the result of fun_info has been specifialized
using this argument.
For example, consider the function
f : Pi (α : Type), α -> α
Now, suppse we request get_specialize fun_info for the application
f unit a
fun_info_manager returns two param_info objects:
1) specialized = true
2) is_subsingleton = true
Note that, in general, the second argument of f is not a subsingleton,
but it is in this particular case/specialization.
\remark This bit is only set if it is a dependent parameter.
Moreover, we only set is_specialized IF another parameter
becomes a subsingleton -/
structure subsingleton_info :=
(specialized : bool)
(is_subsingleton : bool)
meta def subsingleton_info_to_format : subsingleton_info → format
| (subsingleton_info.mk s ss) :=
group ∘ cbrace $
when s "specialized" +++
when ss "subsingleton"
meta instance : has_to_format subsingleton_info :=
has_to_format.mk subsingleton_info_to_format
namespace tactic
/-- If nargs is not none, then return information assuming the function has only nargs arguments. -/
meta constant get_fun_info (f : expr) (nargs : option nat := none) (md := semireducible) : tactic fun_info
meta constant get_subsingleton_info (f : expr) (nargs : option nat := none) (md := semireducible) : tactic (list subsingleton_info)
/-- `get_spec_subsingleton_info t` return subsingleton parameter
information for the function application t of the form
`f a_1 ... a_n`.
This tactic is more precise than `get_subsingleton_info f` and `get_subsingleton_info_n f n`
Example: given `f : Pi (α : Type), α -> α`, `get_spec_subsingleton_info` for
`f unit b`
returns a fun_info with two param_info
1) specialized = tt
2) is_subsingleton = tt
The second argument is marked as subsingleton only because the resulting information
is taking into account the first argument. -/
meta constant get_spec_subsingleton_info (t : expr) (md := semireducible) : tactic (list subsingleton_info)
meta constant get_spec_prefix_size (t : expr) (nargs : nat) (md := semireducible) : tactic nat
private meta def is_next_explicit : list param_info → bool
| [] := tt
| (p::ps) := bnot p.is_implicit && bnot p.is_inst_implicit
meta def fold_explicit_args_aux {α} (f : α → expr → tactic α) : list expr → list param_info → α → tactic α
| [] _ a := return a
| (e::es) ps a :=
if is_next_explicit ps
then f a e >>= fold_explicit_args_aux es ps.tail
else fold_explicit_args_aux es ps.tail a
meta def fold_explicit_args {α} (e : expr) (a : α) (f : α → expr → tactic α) : tactic α :=
if e.is_app then do
info ← get_fun_info e.get_app_fn (some e.get_app_num_args),
fold_explicit_args_aux f e.get_app_args info.params a
else return a
end tactic
|
797596c4fb6135e56598f98e29fedc50a43ade23 | 6e9cd8d58e550c481a3b45806bd34a3514c6b3e0 | /src/algebra/group_with_zero_power.lean | bd3d300bca7b2ce0ccddf6a0e02ea13a674e4514 | [
"Apache-2.0"
] | permissive | sflicht/mathlib | 220fd16e463928110e7b0a50bbed7b731979407f | 1b2048d7195314a7e34e06770948ee00f0ac3545 | refs/heads/master | 1,665,934,056,043 | 1,591,373,803,000 | 1,591,373,803,000 | 269,815,267 | 0 | 0 | Apache-2.0 | 1,591,402,068,000 | 1,591,402,067,000 | null | UTF-8 | Lean | false | false | 7,642 | lean | /-
Copyright (c) 2020 Johan Commelin. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Johan Commelin
-/
import algebra.group_power
/-!
# Powers of elements of groups with an adjoined zero element
In this file we define integer power functions for groups with an adjoined zero element.
This generalises the integer power function on a division ring.
-/
@[simp] lemma zero_pow' {M : Type*} [monoid_with_zero M] :
∀ n : ℕ, n ≠ 0 → (0 : M) ^ n = 0
| 0 h := absurd rfl h
| (k+1) h := zero_mul _
section group_with_zero
variables {G₀ : Type*} [group_with_zero G₀]
section nat_pow
@[simp, field_simps] theorem inv_pow' (a : G₀) (n : ℕ) : (a⁻¹) ^ n = (a ^ n)⁻¹ :=
by induction n with n ih; [exact inv_one'.symm,
rw [pow_succ', pow_succ, ih, mul_inv_rev']]
theorem pow_eq_zero' {g : G₀} {n : ℕ} (H : g ^ n = 0) : g = 0 :=
begin
induction n with n ih,
{ rw pow_zero at H,
rw [← mul_one g, H, mul_zero] },
exact or.cases_on (mul_eq_zero' _ _ H) id ih
end
@[field_simps] theorem pow_ne_zero' {g : G₀} (n : ℕ) (h : g ≠ 0) : g ^ n ≠ 0 :=
mt pow_eq_zero' h
theorem pow_sub' (a : G₀) {m n : ℕ} (ha : a ≠ 0) (h : n ≤ m) : a ^ (m - n) = a ^ m * (a ^ n)⁻¹ :=
have h1 : m - n + n = m, from nat.sub_add_cancel h,
have h2 : a ^ (m - n) * a ^ n = a ^ m, by rw [←pow_add, h1],
eq_mul_inv_of_mul_eq' (pow_ne_zero' _ ha) h2
theorem pow_inv_comm' (a : G₀) (m n : ℕ) : (a⁻¹) ^ m * a ^ n = a ^ n * (a⁻¹) ^ m :=
by rw inv_pow'; exact inv_comm_of_comm' (pow_mul_comm _ _ _)
end nat_pow
end group_with_zero
section int_pow
open int
variables {G₀ : Type*} [group_with_zero G₀]
/--
The power operation in a group with zero.
This extends `monoid.pow` to negative integers
with the definition `a ^ (-n) = (a ^ n)⁻¹`.
-/
def fpow (a : G₀) : ℤ → G₀
| (of_nat n) := a ^ n
| -[1+n] := (a ^ (nat.succ n))⁻¹
@[priority 10] instance : has_pow G₀ ℤ := ⟨fpow⟩
@[simp] theorem fpow_coe_nat (a : G₀) (n : ℕ) : a ^ (n:ℤ) = a ^ n := rfl
theorem fpow_of_nat (a : G₀) (n : ℕ) : a ^ of_nat n = a ^ n := rfl
@[simp] theorem fpow_neg_succ (a : G₀) (n : ℕ) : a ^ -[1+n] = (a ^ n.succ)⁻¹ := rfl
local attribute [ematch] le_of_lt
@[simp] theorem fpow_zero (a : G₀) : a ^ (0:ℤ) = 1 := rfl
@[simp] theorem fpow_one (a : G₀) : a ^ (1:ℤ) = a := mul_one _
@[simp] theorem one_fpow : ∀ (n : ℤ), (1 : G₀) ^ n = 1
| (n : ℕ) := one_pow _
| -[1+ n] := show _⁻¹=(1:G₀), by rw [one_pow, inv_one']
lemma zero_fpow : ∀ z : ℤ, z ≠ 0 → (0 : G₀) ^ z = 0
| (of_nat n) h := zero_pow' _ $ by rintro rfl; exact h rfl
| -[1+n] h := show (0*0 ^ n)⁻¹ = (0 : G₀), by simp
@[simp] theorem fpow_neg (a : G₀) : ∀ (n : ℤ), a ^ -n = (a ^ n)⁻¹
| (n+1:ℕ) := rfl
| 0 := inv_one'.symm
| -[1+ n] := (inv_inv' _).symm
theorem fpow_neg_one (x : G₀) : x ^ (-1:ℤ) = x⁻¹ := congr_arg has_inv.inv $ pow_one x
theorem inv_fpow (a : G₀) : ∀n:ℤ, a⁻¹ ^ n = (a ^ n)⁻¹
| (n : ℕ) := inv_pow' a n
| -[1+ n] := congr_arg has_inv.inv $ inv_pow' a (n+1)
private lemma fpow_add_aux (a : G₀) (h : a ≠ 0) (m n : nat) :
a ^ ((of_nat m) + -[1+n]) = a ^ of_nat m * a ^ -[1+n] :=
or.elim (nat.lt_or_ge m (nat.succ n))
(assume h1 : m < n.succ,
have h2 : m ≤ n, from nat.le_of_lt_succ h1,
suffices a ^ -[1+ n-m] = a ^ of_nat m * a ^ -[1+n],
by rwa [of_nat_add_neg_succ_of_nat_of_lt h1],
show (a ^ nat.succ (n - m))⁻¹ = a ^ of_nat m * a ^ -[1+n],
by rw [← nat.succ_sub h2, pow_sub' _ h (le_of_lt h1), mul_inv_rev', inv_inv']; refl)
(assume : m ≥ n.succ,
suffices a ^ (of_nat (m - n.succ)) = (a ^ (of_nat m)) * (a ^ -[1+ n]),
by rw [of_nat_add_neg_succ_of_nat_of_ge]; assumption,
suffices a ^ (m - n.succ) = a ^ m * (a ^ n.succ)⁻¹, from this,
by rw pow_sub'; assumption)
theorem fpow_add {a : G₀} (h : a ≠ 0) : ∀ (i j : ℤ), a ^ (i + j) = a ^ i * a ^ j
| (of_nat m) (of_nat n) := pow_add _ _ _
| (of_nat m) -[1+n] := fpow_add_aux _ h _ _
| -[1+m] (of_nat n) := by rw [add_comm, fpow_add_aux _ h,
fpow_neg_succ, fpow_of_nat, ← inv_pow', ← pow_inv_comm']
| -[1+m] -[1+n] :=
suffices (a ^ (m + n.succ.succ))⁻¹ = (a ^ m.succ)⁻¹ * (a ^ n.succ)⁻¹, from this,
by rw [← nat.succ_add_eq_succ_add, add_comm, pow_add, mul_inv_rev']
theorem fpow_add_one (a : G₀) (h : a ≠ 0) (i : ℤ) : a ^ (i + 1) = a ^ i * a :=
by rw [fpow_add h, fpow_one]
theorem fpow_one_add (a : G₀) (h : a ≠ 0) (i : ℤ) : a ^ (1 + i) = a * a ^ i :=
by rw [fpow_add h, fpow_one]
theorem fpow_mul_comm (a : G₀) (h : a ≠ 0) (i j : ℤ) : a ^ i * a ^ j = a ^ j * a ^ i :=
by rw [← fpow_add h, ← fpow_add h, add_comm]
theorem fpow_mul (a : G₀) : ∀ m n : ℤ, a ^ (m * n) = (a ^ m) ^ n
| (m : ℕ) (n : ℕ) := pow_mul _ _ _
| (m : ℕ) -[1+ n] := (fpow_neg _ (m * n.succ)).trans $
show (a ^ (m * n.succ))⁻¹ = _, by rw pow_mul; refl
| -[1+ m] (n : ℕ) := (fpow_neg _ (m.succ * n)).trans $
show (a ^ (m.succ * n))⁻¹ = _, by rw [pow_mul, ← inv_pow']; refl
| -[1+ m] -[1+ n] := (pow_mul a m.succ n.succ).trans $
show _ = (_⁻¹ ^ _)⁻¹, by rw [inv_pow', inv_inv']
theorem fpow_mul' (a : G₀) (m n : ℤ) : a ^ (m * n) = (a ^ n) ^ m :=
by rw [mul_comm, fpow_mul]
lemma fpow_inv (a : G₀) : a ^ (-1 : ℤ) = a⁻¹ :=
show (a*1)⁻¹ = a⁻¹, by rw [mul_one]
@[simp] lemma unit_pow {a : G₀} (ha : a ≠ 0) :
∀ n : ℕ, (((units.mk0 a ha) ^ n : units G₀) : G₀) = a ^ n
| 0 := units.coe_one.symm
| (k+1) := by { simp only [pow_succ, units.coe_mul, units.coe_mk0], rw unit_pow }
lemma fpow_neg_succ_of_nat (a : G₀) (n : ℕ) : a ^ (-[1+ n]) = (a ^ (n + 1))⁻¹ := rfl
@[simp] lemma unit_gpow {a : G₀} (h : a ≠ 0) :
∀ (z : ℤ), (((units.mk0 a h) ^ z : units G₀) : G₀) = a ^ z
| (of_nat k) := unit_pow _ _
| -[1+k] := by rw [fpow_neg_succ_of_nat, gpow_neg_succ, units.inv_eq_inv, unit_pow]
lemma fpow_ne_zero_of_ne_zero {a : G₀} (ha : a ≠ 0) : ∀ (z : ℤ), a ^ z ≠ 0
| (of_nat n) := pow_ne_zero' _ ha
| -[1+n] := inv_ne_zero' $ pow_ne_zero' _ ha
lemma fpow_sub {a : G₀} (ha : a ≠ 0) (z1 z2 : ℤ) : a ^ (z1 - z2) = a ^ z1 / a ^ z2 :=
by rw [sub_eq_add_neg, fpow_add ha, fpow_neg]; refl
lemma mul_fpow {G₀ : Type*} [comm_group_with_zero G₀] (a b : G₀) :
∀ (i : ℤ), (a * b) ^ i = (a ^ i) * (b ^ i)
| (int.of_nat n) := mul_pow a b n
| -[1+n] :=
by rw [fpow_neg_succ_of_nat, fpow_neg_succ_of_nat, fpow_neg_succ_of_nat,
mul_pow, mul_inv'']
lemma fpow_eq_zero {x : G₀} {n : ℤ} (h : x ^ n = 0) : x = 0 :=
classical.by_contradiction $ λ hx, fpow_ne_zero_of_ne_zero hx n h
lemma fpow_ne_zero {x : G₀} (n : ℤ) : x ≠ 0 → x ^ n ≠ 0 :=
mt fpow_eq_zero
theorem fpow_neg_mul_fpow_self (n : ℤ) {x : G₀} (h : x ≠ 0) :
x ^ (-n) * x ^ n = 1 :=
begin
rw [fpow_neg],
exact inv_mul_cancel' _ (fpow_ne_zero n h)
end
theorem one_div_pow {a : G₀} (n : ℕ) :
(1 / a) ^ n = 1 / a ^ n :=
by simp only [one_div, inv_pow']
theorem one_div_fpow {a : G₀} (n : ℤ) :
(1 / a) ^ n = 1 / a ^ n :=
by simp only [one_div, inv_fpow]
end int_pow
section
variables {G₀ : Type*} [comm_group_with_zero G₀]
@[simp] theorem div_pow (a b : G₀) (n : ℕ) :
(a / b) ^ n = a ^ n / b ^ n :=
by simp only [div_eq_mul_inv, mul_pow, inv_pow']
@[simp] theorem div_fpow (a : G₀) {b : G₀} (n : ℤ) :
(a / b) ^ n = a ^ n / b ^ n :=
by simp only [div_eq_mul_inv, mul_fpow, inv_fpow]
lemma div_sq_cancel {a : G₀} (ha : a ≠ 0) (b : G₀) : a ^ 2 * b / a = a * b :=
by rw [pow_two, mul_assoc, mul_div_cancel_left' _ ha]
end
|
9090e79587f20869543a31c57230dbd088afb3ef | 35677d2df3f081738fa6b08138e03ee36bc33cad | /src/topology/category/Top/default.lean | 516f228ff60c1af3858d140fc2701cc43fa7a314 | [
"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 | 148 | lean | import topology.category.Top.basic
import topology.category.Top.limits
import topology.category.Top.epi_mono
import topology.category.Top.open_nhds
|
4045bf08a93ef0edadc3e4fb8ebf92215e233b39 | 4d2583807a5ac6caaffd3d7a5f646d61ca85d532 | /src/data/polynomial/degree/lemmas.lean | 12a4959af0d1def775de854a06c924ea53a3c718 | [
"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 | 6,679 | lean | /-
Copyright (c) 2018 Chris Hughes. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Chris Hughes, Johannes Hölzl, Scott Morrison, Jens Wagemaker
-/
import data.polynomial.eval
import tactic.interval_cases
/-!
# Theory of degrees of polynomials
Some of the main results include
- `nat_degree_comp_le` : The degree of the composition is at most the product of degrees
-/
noncomputable theory
open_locale classical
open finsupp finset
namespace polynomial
universes u v w
variables {R : Type u} {S : Type v} { ι : Type w} {a b : R} {m n : ℕ}
section semiring
variables [semiring R] {p q r : polynomial R}
section degree
lemma nat_degree_comp_le : nat_degree (p.comp q) ≤ nat_degree p * nat_degree q :=
if h0 : p.comp q = 0 then by rw [h0, nat_degree_zero]; exact nat.zero_le _
else with_bot.coe_le_coe.1 $
calc ↑(nat_degree (p.comp q)) = degree (p.comp q) : (degree_eq_nat_degree h0).symm
... = _ : congr_arg degree comp_eq_sum_left
... ≤ _ : degree_sum_le _ _
... ≤ _ : sup_le (λ n hn,
calc degree (C (coeff p n) * q ^ n)
≤ degree (C (coeff p n)) + degree (q ^ n) : degree_mul_le _ _
... ≤ nat_degree (C (coeff p n)) + n • (degree q) :
add_le_add degree_le_nat_degree (degree_pow_le _ _)
... ≤ nat_degree (C (coeff p n)) + n • (nat_degree q) :
add_le_add_left (nsmul_le_nsmul_of_le_right (@degree_le_nat_degree _ _ q) n) _
... = (n * nat_degree q : ℕ) :
by rw [nat_degree_C, with_bot.coe_zero, zero_add, ← with_bot.coe_nsmul,
nsmul_eq_mul]; simp
... ≤ (nat_degree p * nat_degree q : ℕ) : with_bot.coe_le_coe.2 $
mul_le_mul_of_nonneg_right
(le_nat_degree_of_ne_zero (mem_support_iff.1 hn))
(nat.zero_le _))
lemma degree_pos_of_root {p : polynomial R} (hp : p ≠ 0) (h : is_root p a) : 0 < degree p :=
lt_of_not_ge $ λ hlt, begin
have := eq_C_of_degree_le_zero hlt,
rw [is_root, this, eval_C] at h,
simp only [h, ring_hom.map_zero] at this,
exact hp this,
end
lemma nat_degree_le_iff_coeff_eq_zero :
p.nat_degree ≤ n ↔ ∀ N : ℕ, n < N → p.coeff N = 0 :=
by simp_rw [nat_degree_le_iff_degree_le, degree_le_iff_coeff_zero, with_bot.coe_lt_coe]
lemma nat_degree_C_mul_le (a : R) (f : polynomial R) :
(C a * f).nat_degree ≤ f.nat_degree :=
calc
(C a * f).nat_degree ≤ (C a).nat_degree + f.nat_degree : nat_degree_mul_le
... = 0 + f.nat_degree : by rw nat_degree_C a
... = f.nat_degree : zero_add _
lemma nat_degree_mul_C_le (f : polynomial R) (a : R) :
(f * C a).nat_degree ≤ f.nat_degree :=
calc
(f * C a).nat_degree ≤ f.nat_degree + (C a).nat_degree : nat_degree_mul_le
... = f.nat_degree + 0 : by rw nat_degree_C a
... = f.nat_degree : add_zero _
lemma eq_nat_degree_of_le_mem_support (pn : p.nat_degree ≤ n) (ns : n ∈ p.support) :
p.nat_degree = n :=
le_antisymm pn (le_nat_degree_of_mem_supp _ ns)
lemma nat_degree_C_mul_eq_of_mul_eq_one {ai : R} (au : ai * a = 1) :
(C a * p).nat_degree = p.nat_degree :=
le_antisymm (nat_degree_C_mul_le a p) (calc
p.nat_degree = (1 * p).nat_degree : by nth_rewrite 0 [← one_mul p]
... = (C ai * (C a * p)).nat_degree : by rw [← C_1, ← au, ring_hom.map_mul, ← mul_assoc]
... ≤ (C a * p).nat_degree : nat_degree_C_mul_le ai (C a * p))
lemma nat_degree_mul_C_eq_of_mul_eq_one {ai : R} (au : a * ai = 1) :
(p * C a).nat_degree = p.nat_degree :=
le_antisymm (nat_degree_mul_C_le p a) (calc
p.nat_degree = (p * 1).nat_degree : by nth_rewrite 0 [← mul_one p]
... = ((p * C a) * C ai).nat_degree : by rw [← C_1, ← au, ring_hom.map_mul, ← mul_assoc]
... ≤ (p * C a).nat_degree : nat_degree_mul_C_le (p * C a) ai)
/-- Although not explicitly stated, the assumptions of lemma `nat_degree_mul_C_eq_of_mul_ne_zero`
force the polynomial `p` to be non-zero, via `p.leading_coeff ≠ 0`.
Lemma `nat_degree_mul_C_eq_of_no_zero_divisors` below separates cases, in order to overcome this
hurdle.
-/
lemma nat_degree_mul_C_eq_of_mul_ne_zero (h : p.leading_coeff * a ≠ 0) :
(p * C a).nat_degree = p.nat_degree :=
begin
refine eq_nat_degree_of_le_mem_support (nat_degree_mul_C_le p a) _,
refine mem_support_iff.mpr _,
rwa coeff_mul_C,
end
/-- Although not explicitly stated, the assumptions of lemma `nat_degree_C_mul_eq_of_mul_ne_zero`
force the polynomial `p` to be non-zero, via `p.leading_coeff ≠ 0`.
Lemma `nat_degree_C_mul_eq_of_no_zero_divisors` below separates cases, in order to overcome this
hurdle.
-/
lemma nat_degree_C_mul_eq_of_mul_ne_zero (h : a * p.leading_coeff ≠ 0) :
(C a * p).nat_degree = p.nat_degree :=
begin
refine eq_nat_degree_of_le_mem_support (nat_degree_C_mul_le a p) _,
refine mem_support_iff.mpr _,
rwa coeff_C_mul,
end
lemma nat_degree_add_coeff_mul (f g : polynomial R) :
(f * g).coeff (f.nat_degree + g.nat_degree) = f.coeff f.nat_degree * g.coeff g.nat_degree :=
by simp only [coeff_nat_degree, coeff_mul_degree_add_degree]
lemma nat_degree_lt_coeff_mul (h : p.nat_degree + q.nat_degree < m + n) :
(p * q).coeff (m + n) = 0 :=
coeff_eq_zero_of_nat_degree_lt (nat_degree_mul_le.trans_lt h)
variables [semiring S]
lemma nat_degree_pos_of_eval₂_root {p : polynomial R} (hp : p ≠ 0) (f : R →+* S)
{z : S} (hz : eval₂ f z p = 0) (inj : ∀ (x : R), f x = 0 → x = 0) :
0 < nat_degree p :=
lt_of_not_ge $ λ hlt, begin
have A : p = C (p.coeff 0) := eq_C_of_nat_degree_le_zero hlt,
rw [A, eval₂_C] at hz,
simp only [inj (p.coeff 0) hz, ring_hom.map_zero] at A,
exact hp A
end
lemma degree_pos_of_eval₂_root {p : polynomial R} (hp : p ≠ 0) (f : R →+* S)
{z : S} (hz : eval₂ f z p = 0) (inj : ∀ (x : R), f x = 0 → x = 0) :
0 < degree p :=
nat_degree_pos_iff_degree_pos.mp (nat_degree_pos_of_eval₂_root hp f hz inj)
@[simp] lemma coe_lt_degree {p : polynomial R} {n : ℕ} :
((n : with_bot ℕ) < degree p) ↔ n < nat_degree p :=
begin
by_cases h : p = 0,
{ simp [h] },
rw [degree_eq_nat_degree h, with_bot.coe_lt_coe],
end
end degree
end semiring
section no_zero_divisors
variables [semiring R] [no_zero_divisors R] {p q : polynomial R}
lemma nat_degree_mul_C_eq_of_no_zero_divisors (a0 : a ≠ 0) :
(p * C a).nat_degree = p.nat_degree :=
begin
by_cases p0 : p = 0,
{ rw [p0, zero_mul] },
{ exact nat_degree_mul_C_eq_of_mul_ne_zero (mul_ne_zero (leading_coeff_ne_zero.mpr p0) a0) }
end
lemma nat_degree_C_mul_eq_of_no_zero_divisors (a0 : a ≠ 0) :
(C a * p).nat_degree = p.nat_degree :=
begin
by_cases p0 : p = 0,
{ rw [p0, mul_zero] },
{ exact nat_degree_C_mul_eq_of_mul_ne_zero (mul_ne_zero a0 (leading_coeff_ne_zero.mpr p0)) }
end
end no_zero_divisors
end polynomial
|
69854ee598951d56cb4164e79f56f31c4e149bdf | 8f209eb34c0c4b9b6be5e518ebfc767a38bed79c | /code/src/internal/Ant/rhss.lean | 563c2ac6cd9eedc4c981e7ae7e36ed73b24397d8 | [] | no_license | hediet/masters-thesis | 13e3bcacb6227f25f7ec4691fb78cb0363f2dfb5 | dc40c14cc4ed073673615412f36b4e386ee7aac9 | refs/heads/master | 1,680,591,056,302 | 1,617,710,887,000 | 1,617,710,887,000 | 311,762,038 | 4 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 2,412 | lean | import tactic
import data.finset
import ...definitions
import ..internal_definitions
import ..utils
import ..tactics
import .map
variable [GuardModule]
open GuardModule
lemma Ant.rhss_list.nodup { α: Type } { ant: Ant α } (ant_disjoint: ant.disjoint_rhss): ant.rhss_list.nodup :=
by induction_ant_disjoint ant from ant_disjoint;
finish [Ant.rhss_list, Ant.rhss, list.nodup_append, list_to_finset_disjoint_iff_list_disjoint]
@[simp]
lemma Ant.rhss_branch { α: Type } { ant1 ant2: Ant α }: (ant1.branch ant2).rhss = ant1.rhss ∪ ant2.rhss :=
by simp [Ant.rhss, Ant.rhss_list]
@[simp]
lemma Ant.rhss_diverge { α: Type } { a: α } { tr: Ant α }: (Ant.diverge a tr).rhss = tr.rhss :=
by simp [Ant.rhss, Ant.rhss_list]
@[simp]
lemma Ant.rhss_rhs { α: Type } { a: α } { rhs: Rhs }: (Ant.rhs a rhs).rhss = { rhs } :=
by simp [Ant.rhss, Ant.rhss_list]
lemma Ant.rhss_non_empty { α: Type } (ant: Ant α) : ∃ l, l ∈ ant.rhss :=
by induction ant; finish
lemma Ant.critical_rhs_set_elements { ant: Ant bool } { e: finset Rhs } (h: e ∈ ant.critical_rhs_sets):
e ⊆ ant.rhss :=
begin
induction ant;
rw Ant.critical_rhs_sets at h,
case Ant.rhs { finish, },
case Ant.branch {
simp only [finset.mem_union] at h,
cases h;
simp [subset_right_union, subset_left_union, *],
},
case Ant.diverge {
simp only [finset.mem_union] at h,
cases h;
try {
cases ant_a;
finish,
},
},
end
@[simp]
lemma ant_mark_inactive_rhss { ant: Ant Φ } { env: Env }: (ant.mark_inactive_rhss env).rhss = ant.rhss :=
by simp [Ant.mark_inactive_rhss]
@[simp]
lemma Ant.disjoint_rhss_of_map { α β: Type } { f: α → β } { ant: Ant α }: (ant.map f).disjoint_rhss ↔ ant.disjoint_rhss :=
by induction ant; { simp only [Ant.map, Ant.disjoint_rhss, *, Ant.map_rhss], }
@[simp]
lemma Ant.disjoint_rhss_of_mark_inactive_rhss { ant: Ant Φ } { env: Env }:
(ant.mark_inactive_rhss env).disjoint_rhss ↔ ant.disjoint_rhss :=
by simp [Ant.mark_inactive_rhss]
lemma Ant.disjoint_rhss_of_mark_inactive_rhss_eq { ant1 ant2: Ant Φ } { env: Env } (h: ant1.mark_inactive_rhss env = ant2.mark_inactive_rhss env):
ant1.disjoint_rhss ↔ ant2.disjoint_rhss :=
begin
have : (ant1.mark_inactive_rhss env).disjoint_rhss ↔ (ant2.mark_inactive_rhss env).disjoint_rhss := by rw h,
simp at this,
exact this,
end
|
e3151279d81d2495c72f86e6996c3489b770c07b | 6432ea7a083ff6ba21ea17af9ee47b9c371760f7 | /src/Init/Data/Format/Instances.lean | 3d8b528d491063fc5297063212469c126396bba0 | [
"Apache-2.0",
"LLVM-exception",
"NCSA",
"LGPL-3.0-only",
"LicenseRef-scancode-inner-net-2.0",
"BSD-3-Clause",
"LGPL-2.0-or-later",
"Spencer-94",
"LGPL-2.1-or-later",
"HPND",
"LicenseRef-scancode-pcre",
"ISC",
"LGPL-2.1-only",
"LicenseRef-scancode-other-permissive",
"SunPro",
"CMU-Mach"... | permissive | leanprover/lean4 | 4bdf9790294964627eb9be79f5e8f6157780b4cc | f1f9dc0f2f531af3312398999d8b8303fa5f096b | refs/heads/master | 1,693,360,665,786 | 1,693,350,868,000 | 1,693,350,868,000 | 129,571,436 | 2,827 | 311 | Apache-2.0 | 1,694,716,156,000 | 1,523,760,560,000 | Lean | UTF-8 | Lean | false | false | 1,236 | lean | /-
Copyright (c) 2020 Microsoft Corporation. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Author: Leonardo de Moura
-/
prelude
import Init.Data.Format.Basic
import Init.Data.Array.Basic
import Init.Data.ToString.Basic
open Std
instance (priority := low) [ToString α] : ToFormat α :=
⟨Std.Format.text ∘ toString⟩
def List.format [ToFormat α] : List α → Format
| [] => "[]"
| xs => Format.sbracket <| Format.joinSep xs ("," ++ Format.line)
instance [ToFormat α] : ToFormat (List α) where
format := List.format
instance [ToFormat α] : ToFormat (Array α) where
format a := "#" ++ format a.toList
def Option.format {α : Type u} [ToFormat α] : Option α → Format
| none => "none"
| some a => "some " ++ Std.format a
instance {α : Type u} [ToFormat α] : ToFormat (Option α) :=
⟨Option.format⟩
instance {α : Type u} {β : Type v} [ToFormat α] [ToFormat β] : ToFormat (Prod α β) where
format := fun (a, b) => Format.paren <| format a ++ "," ++ Format.line ++ format b
def String.toFormat (s : String) : Std.Format :=
Std.Format.joinSep (s.splitOn "\n") Std.Format.line
instance : ToFormat String.Pos where
format p := format p.byteIdx
|
3952a2d01e37437bd173e6d605a010269b14f0e2 | 32025d5c2d6e33ad3b6dd8a3c91e1e838066a7f7 | /tests/lean/run/evalconst.lean | 1dcefe7dd858a51bf9d9e548ea0cd1971aac29b0 | [
"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 | 320 | lean | import Lean
open Lean
def x := 10
unsafe def tst : CoreM Unit := do
env ← getEnv;
IO.println $ env.evalConst Nat `x;
pure ()
#eval tst
def f (x : Nat) := x + 1
unsafe def tst2 : CoreM Unit := do
env ← getEnv;
f ← liftIO $ IO.ofExcept $ env.evalConst (Nat → Nat) `f;
IO.println $ (f 10);
pure ()
#eval tst2
|
6c386dbf3882b9ccddd59932072fbb45a270b8ca | 9dc8cecdf3c4634764a18254e94d43da07142918 | /src/logic/equiv/set.lean | 4d6c03580206ae04fcc0cb86cf1cce4ae2619d3d | [
"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 | 25,599 | 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, Mario Carneiro
-/
import data.set.function
import logic.equiv.basic
/-!
# Equivalences and sets
In this file we provide lemmas linking equivalences to sets.
Some notable definitions are:
* `equiv.of_injective`: an injective function is (noncomputably) equivalent to its range.
* `equiv.set_congr`: two equal sets are equivalent as types.
* `equiv.set.union`: a disjoint union of sets is equivalent to their `sum`.
This file is separate from `equiv/basic` such that we do not require the full lattice structure
on sets before defining what an equivalence is.
-/
open function set
universes u v w z
variables {α : Sort u} {β : Sort v} {γ : Sort w}
namespace equiv
@[simp] lemma range_eq_univ {α : Type*} {β : Type*} (e : α ≃ β) : range e = univ :=
eq_univ_of_forall e.surjective
protected lemma image_eq_preimage {α β} (e : α ≃ β) (s : set α) : e '' s = e.symm ⁻¹' s :=
set.ext $ λ x, mem_image_iff_of_inverse e.left_inv e.right_inv
lemma _root_.set.mem_image_equiv {α β} {S : set α} {f : α ≃ β} {x : β} :
x ∈ f '' S ↔ f.symm x ∈ S :=
set.ext_iff.mp (f.image_eq_preimage S) x
/-- Alias for `equiv.image_eq_preimage` -/
lemma _root_.set.image_equiv_eq_preimage_symm {α β} (S : set α) (f : α ≃ β) :
f '' S = f.symm ⁻¹' S :=
f.image_eq_preimage S
/-- Alias for `equiv.image_eq_preimage` -/
lemma _root_.set.preimage_equiv_eq_image_symm {α β} (S : set α) (f : β ≃ α) :
f ⁻¹' S = f.symm '' S :=
(f.symm.image_eq_preimage S).symm
@[simp] protected lemma subset_image {α β} (e : α ≃ β) (s : set α) (t : set β) :
e.symm '' t ⊆ s ↔ t ⊆ e '' s :=
by rw [image_subset_iff, e.image_eq_preimage]
@[simp] protected lemma subset_image' {α β} (e : α ≃ β) (s : set α) (t : set β) :
s ⊆ e.symm '' t ↔ e '' s ⊆ t :=
calc s ⊆ e.symm '' t ↔ e.symm.symm '' s ⊆ t : by rw e.symm.subset_image
... ↔ e '' s ⊆ t : by rw e.symm_symm
@[simp] lemma symm_image_image {α β} (e : α ≃ β) (s : set α) : e.symm '' (e '' s) = s :=
e.left_inverse_symm.image_image s
lemma eq_image_iff_symm_image_eq {α β} (e : α ≃ β) (s : set α) (t : set β) :
t = e '' s ↔ e.symm '' t = s :=
(e.symm.injective.image_injective.eq_iff' (e.symm_image_image s)).symm
@[simp] lemma image_symm_image {α β} (e : α ≃ β) (s : set β) : e '' (e.symm '' s) = s :=
e.symm.symm_image_image s
@[simp] lemma image_preimage {α β} (e : α ≃ β) (s : set β) : e '' (e ⁻¹' s) = s :=
e.surjective.image_preimage s
@[simp] lemma preimage_image {α β} (e : α ≃ β) (s : set α) : e ⁻¹' (e '' s) = s :=
e.injective.preimage_image s
protected lemma image_compl {α β} (f : equiv α β) (s : set α) :
f '' sᶜ = (f '' s)ᶜ :=
image_compl_eq f.bijective
@[simp] lemma symm_preimage_preimage {α β} (e : α ≃ β) (s : set β) :
e.symm ⁻¹' (e ⁻¹' s) = s :=
e.right_inverse_symm.preimage_preimage s
@[simp] lemma preimage_symm_preimage {α β} (e : α ≃ β) (s : set α) :
e ⁻¹' (e.symm ⁻¹' s) = s :=
e.left_inverse_symm.preimage_preimage s
@[simp] lemma preimage_subset {α β} (e : α ≃ β) (s t : set β) : e ⁻¹' s ⊆ e ⁻¹' t ↔ s ⊆ t :=
e.surjective.preimage_subset_preimage_iff
@[simp] lemma image_subset {α β} (e : α ≃ β) (s t : set α) : e '' s ⊆ e '' t ↔ s ⊆ t :=
image_subset_image_iff e.injective
@[simp] lemma image_eq_iff_eq {α β} (e : α ≃ β) (s t : set α) : e '' s = e '' t ↔ s = t :=
image_eq_image e.injective
lemma preimage_eq_iff_eq_image {α β} (e : α ≃ β) (s t) : e ⁻¹' s = t ↔ s = e '' t :=
preimage_eq_iff_eq_image e.bijective
lemma eq_preimage_iff_image_eq {α β} (e : α ≃ β) (s t) : s = e ⁻¹' t ↔ e '' s = t :=
eq_preimage_iff_image_eq e.bijective
@[simp] lemma prod_comm_preimage {α β} {s : set α} {t : set β} :
equiv.prod_comm α β ⁻¹' t ×ˢ s = s ×ˢ t :=
preimage_swap_prod
lemma prod_comm_image {α β} {s : set α} {t : set β} : equiv.prod_comm α β '' s ×ˢ t = t ×ˢ s :=
image_swap_prod
@[simp]
lemma prod_assoc_preimage {α β γ} {s : set α} {t : set β} {u : set γ} :
equiv.prod_assoc α β γ ⁻¹' s ×ˢ (t ×ˢ u) = (s ×ˢ t) ×ˢ u :=
by { ext, simp [and_assoc] }
@[simp]
lemma prod_assoc_symm_preimage {α β γ} {s : set α} {t : set β} {u : set γ} :
(equiv.prod_assoc α β γ).symm ⁻¹' (s ×ˢ t) ×ˢ u = s ×ˢ (t ×ˢ u) :=
by { ext, simp [and_assoc] }
-- `@[simp]` doesn't like these lemmas, as it uses `set.image_congr'` to turn `equiv.prod_assoc`
-- into a lambda expression and then unfold it.
lemma prod_assoc_image {α β γ} {s : set α} {t : set β} {u : set γ} :
equiv.prod_assoc α β γ '' (s ×ˢ t) ×ˢ u = s ×ˢ (t ×ˢ u) :=
by simpa only [equiv.image_eq_preimage] using prod_assoc_symm_preimage
lemma prod_assoc_symm_image {α β γ} {s : set α} {t : set β} {u : set γ} :
(equiv.prod_assoc α β γ).symm '' s ×ˢ (t ×ˢ u) = (s ×ˢ t) ×ˢ u :=
by simpa only [equiv.image_eq_preimage] using prod_assoc_preimage
/-- A set `s` in `α × β` is equivalent to the sigma-type `Σ x, {y | (x, y) ∈ s}`. -/
def set_prod_equiv_sigma {α β : Type*} (s : set (α × β)) :
s ≃ Σ x : α, {y | (x, y) ∈ s} :=
{ to_fun := λ x, ⟨x.1.1, x.1.2, by simp⟩,
inv_fun := λ x, ⟨(x.1, x.2.1), x.2.2⟩,
left_inv := λ ⟨⟨x, y⟩, h⟩, rfl,
right_inv := λ ⟨x, y, h⟩, rfl }
/-- The subtypes corresponding to equal sets are equivalent. -/
@[simps apply]
def set_congr {α : Type*} {s t : set α} (h : s = t) : s ≃ t :=
subtype_equiv_prop h
/--
A set is equivalent to its image under an equivalence.
-/
-- We could construct this using `equiv.set.image e s e.injective`,
-- but this definition provides an explicit inverse.
@[simps]
def image {α β : Type*} (e : α ≃ β) (s : set α) : s ≃ e '' s :=
{ to_fun := λ x, ⟨e x.1, by simp⟩,
inv_fun := λ y, ⟨e.symm y.1, by { rcases y with ⟨-, ⟨a, ⟨m, rfl⟩⟩⟩, simpa using m, }⟩,
left_inv := λ x, by simp,
right_inv := λ y, by simp, }.
namespace set
/-- `univ α` is equivalent to `α`. -/
@[simps apply symm_apply]
protected def univ (α) : @univ α ≃ α :=
⟨coe, λ a, ⟨a, trivial⟩, λ ⟨a, _⟩, rfl, λ a, rfl⟩
/-- An empty set is equivalent to the `empty` type. -/
protected def empty (α) : (∅ : set α) ≃ empty :=
equiv_empty _
/-- An empty set is equivalent to a `pempty` type. -/
protected def pempty (α) : (∅ : set α) ≃ pempty :=
equiv_pempty _
/-- If sets `s` and `t` are separated by a decidable predicate, then `s ∪ t` is equivalent to
`s ⊕ t`. -/
protected def union' {α} {s t : set α}
(p : α → Prop) [decidable_pred p]
(hs : ∀ x ∈ s, p x)
(ht : ∀ x ∈ t, ¬ p x) : (s ∪ t : set α) ≃ s ⊕ t :=
{ to_fun := λ x, if hp : p x
then sum.inl ⟨_, x.2.resolve_right (λ xt, ht _ xt hp)⟩
else sum.inr ⟨_, x.2.resolve_left (λ xs, hp (hs _ xs))⟩,
inv_fun := λ o, match o with
| (sum.inl x) := ⟨x, or.inl x.2⟩
| (sum.inr x) := ⟨x, or.inr x.2⟩
end,
left_inv := λ ⟨x, h'⟩, by by_cases p x; simp [union'._match_1, h]; congr,
right_inv := λ o, begin
rcases o with ⟨x, h⟩ | ⟨x, h⟩;
dsimp [union'._match_1];
[simp [hs _ h], simp [ht _ h]]
end }
/-- If sets `s` and `t` are disjoint, then `s ∪ t` is equivalent to `s ⊕ t`. -/
protected def union {α} {s t : set α} [decidable_pred (λ x, x ∈ s)] (H : s ∩ t ⊆ ∅) :
(s ∪ t : set α) ≃ s ⊕ t :=
set.union' (λ x, x ∈ s) (λ _, id) (λ x xt xs, H ⟨xs, xt⟩)
lemma union_apply_left {α} {s t : set α} [decidable_pred (λ x, x ∈ s)] (H : s ∩ t ⊆ ∅)
{a : (s ∪ t : set α)} (ha : ↑a ∈ s) : equiv.set.union H a = sum.inl ⟨a, ha⟩ :=
dif_pos ha
lemma union_apply_right {α} {s t : set α} [decidable_pred (λ x, x ∈ s)] (H : s ∩ t ⊆ ∅)
{a : (s ∪ t : set α)} (ha : ↑a ∈ t) : equiv.set.union H a = sum.inr ⟨a, ha⟩ :=
dif_neg $ λ h, H ⟨h, ha⟩
@[simp] lemma union_symm_apply_left {α} {s t : set α} [decidable_pred (λ x, x ∈ s)] (H : s ∩ t ⊆ ∅)
(a : s) : (equiv.set.union H).symm (sum.inl a) = ⟨a, subset_union_left _ _ a.2⟩ :=
rfl
@[simp] lemma union_symm_apply_right {α} {s t : set α} [decidable_pred (λ x, x ∈ s)] (H : s ∩ t ⊆ ∅)
(a : t) : (equiv.set.union H).symm (sum.inr a) = ⟨a, subset_union_right _ _ a.2⟩ :=
rfl
/-- A singleton set is equivalent to a `punit` type. -/
protected def singleton {α} (a : α) : ({a} : set α) ≃ punit.{u} :=
⟨λ _, punit.star, λ _, ⟨a, mem_singleton _⟩,
λ ⟨x, h⟩, by { simp at h, subst x },
λ ⟨⟩, rfl⟩
/-- Equal sets are equivalent.
TODO: this is the same as `equiv.set_congr`! -/
@[simps apply symm_apply]
protected def of_eq {α : Type u} {s t : set α} (h : s = t) : s ≃ t :=
equiv.set_congr h
/-- If `a ∉ s`, then `insert a s` is equivalent to `s ⊕ punit`. -/
protected def insert {α} {s : set.{u} α} [decidable_pred (∈ s)] {a : α} (H : a ∉ s) :
(insert a s : set α) ≃ s ⊕ punit.{u+1} :=
calc (insert a s : set α) ≃ ↥(s ∪ {a}) : equiv.set.of_eq (by simp)
... ≃ s ⊕ ({a} : set α) : equiv.set.union (λ x ⟨hx, hx'⟩, by simp [*] at *)
... ≃ s ⊕ punit.{u+1} : sum_congr (equiv.refl _) (equiv.set.singleton _)
@[simp] lemma insert_symm_apply_inl {α} {s : set.{u} α} [decidable_pred (∈ s)] {a : α} (H : a ∉ s)
(b : s) : (equiv.set.insert H).symm (sum.inl b) = ⟨b, or.inr b.2⟩ :=
rfl
@[simp] lemma insert_symm_apply_inr {α} {s : set.{u} α} [decidable_pred (∈ s)] {a : α} (H : a ∉ s)
(b : punit.{u+1}) : (equiv.set.insert H).symm (sum.inr b) = ⟨a, or.inl rfl⟩ :=
rfl
@[simp] lemma insert_apply_left {α} {s : set.{u} α} [decidable_pred (∈ s)] {a : α} (H : a ∉ s) :
equiv.set.insert H ⟨a, or.inl rfl⟩ = sum.inr punit.star :=
(equiv.set.insert H).apply_eq_iff_eq_symm_apply.2 rfl
@[simp] lemma insert_apply_right {α} {s : set.{u} α} [decidable_pred (∈ s)] {a : α} (H : a ∉ s)
(b : s) : equiv.set.insert H ⟨b, or.inr b.2⟩ = sum.inl b :=
(equiv.set.insert H).apply_eq_iff_eq_symm_apply.2 rfl
/-- If `s : set α` is a set with decidable membership, then `s ⊕ sᶜ` is equivalent to `α`. -/
protected def sum_compl {α} (s : set α) [decidable_pred (∈ s)] : s ⊕ (sᶜ : set α) ≃ α :=
calc s ⊕ (sᶜ : set α) ≃ ↥(s ∪ sᶜ) : (equiv.set.union (by simp [set.ext_iff])).symm
... ≃ @univ α : equiv.set.of_eq (by simp)
... ≃ α : equiv.set.univ _
@[simp] lemma sum_compl_apply_inl {α : Type u} (s : set α) [decidable_pred (∈ s)] (x : s) :
equiv.set.sum_compl s (sum.inl x) = x := rfl
@[simp] lemma sum_compl_apply_inr {α : Type u} (s : set α) [decidable_pred (∈ s)] (x : sᶜ) :
equiv.set.sum_compl s (sum.inr x) = x := rfl
lemma sum_compl_symm_apply_of_mem {α : Type u} {s : set α} [decidable_pred (∈ s)] {x : α}
(hx : x ∈ s) : (equiv.set.sum_compl s).symm x = sum.inl ⟨x, hx⟩ :=
have ↑(⟨x, or.inl hx⟩ : (s ∪ sᶜ : set α)) ∈ s, from hx,
by { rw [equiv.set.sum_compl], simpa using set.union_apply_left _ this }
lemma sum_compl_symm_apply_of_not_mem {α : Type u} {s : set α} [decidable_pred (∈ s)] {x : α}
(hx : x ∉ s) : (equiv.set.sum_compl s).symm x = sum.inr ⟨x, hx⟩ :=
have ↑(⟨x, or.inr hx⟩ : (s ∪ sᶜ : set α)) ∈ sᶜ, from hx,
by { rw [equiv.set.sum_compl], simpa using set.union_apply_right _ this }
@[simp] lemma sum_compl_symm_apply {α : Type*} {s : set α} [decidable_pred (∈ s)] {x : s} :
(equiv.set.sum_compl s).symm x = sum.inl x :=
by cases x with x hx; exact set.sum_compl_symm_apply_of_mem hx
@[simp] lemma sum_compl_symm_apply_compl {α : Type*} {s : set α}
[decidable_pred (∈ s)] {x : sᶜ} : (equiv.set.sum_compl s).symm x = sum.inr x :=
by cases x with x hx; exact set.sum_compl_symm_apply_of_not_mem hx
/-- `sum_diff_subset s t` is the natural equivalence between
`s ⊕ (t \ s)` and `t`, where `s` and `t` are two sets. -/
protected def sum_diff_subset {α} {s t : set α} (h : s ⊆ t) [decidable_pred (∈ s)] :
s ⊕ (t \ s : set α) ≃ t :=
calc s ⊕ (t \ s : set α) ≃ (s ∪ (t \ s) : set α) :
(equiv.set.union (by simp [inter_diff_self])).symm
... ≃ t : equiv.set.of_eq (by { simp [union_diff_self, union_eq_self_of_subset_left h] })
@[simp] lemma sum_diff_subset_apply_inl
{α} {s t : set α} (h : s ⊆ t) [decidable_pred (∈ s)] (x : s) :
equiv.set.sum_diff_subset h (sum.inl x) = inclusion h x := rfl
@[simp] lemma sum_diff_subset_apply_inr
{α} {s t : set α} (h : s ⊆ t) [decidable_pred (∈ s)] (x : t \ s) :
equiv.set.sum_diff_subset h (sum.inr x) = inclusion (diff_subset t s) x := rfl
lemma sum_diff_subset_symm_apply_of_mem
{α} {s t : set α} (h : s ⊆ t) [decidable_pred (∈ s)] {x : t} (hx : x.1 ∈ s) :
(equiv.set.sum_diff_subset h).symm x = sum.inl ⟨x, hx⟩ :=
begin
apply (equiv.set.sum_diff_subset h).injective,
simp only [apply_symm_apply, sum_diff_subset_apply_inl],
exact subtype.eq rfl,
end
lemma sum_diff_subset_symm_apply_of_not_mem
{α} {s t : set α} (h : s ⊆ t) [decidable_pred (∈ s)] {x : t} (hx : x.1 ∉ s) :
(equiv.set.sum_diff_subset h).symm x = sum.inr ⟨x, ⟨x.2, hx⟩⟩ :=
begin
apply (equiv.set.sum_diff_subset h).injective,
simp only [apply_symm_apply, sum_diff_subset_apply_inr],
exact subtype.eq rfl,
end
/-- If `s` is a set with decidable membership, then the sum of `s ∪ t` and `s ∩ t` is equivalent
to `s ⊕ t`. -/
protected def union_sum_inter {α : Type u} (s t : set α) [decidable_pred (∈ s)] :
(s ∪ t : set α) ⊕ (s ∩ t : set α) ≃ s ⊕ t :=
calc (s ∪ t : set α) ⊕ (s ∩ t : set α)
≃ (s ∪ t \ s : set α) ⊕ (s ∩ t : set α) : by rw [union_diff_self]
... ≃ (s ⊕ (t \ s : set α)) ⊕ (s ∩ t : set α) :
sum_congr (set.union $ subset_empty_iff.2 (inter_diff_self _ _)) (equiv.refl _)
... ≃ s ⊕ (t \ s : set α) ⊕ (s ∩ t : set α) : sum_assoc _ _ _
... ≃ s ⊕ (t \ s ∪ s ∩ t : set α) : sum_congr (equiv.refl _) begin
refine (set.union' (∉ s) _ _).symm,
exacts [λ x hx, hx.2, λ x hx, not_not_intro hx.1]
end
... ≃ s ⊕ t : by { rw (_ : t \ s ∪ s ∩ t = t), rw [union_comm, inter_comm, inter_union_diff] }
/-- Given an equivalence `e₀` between sets `s : set α` and `t : set β`, the set of equivalences
`e : α ≃ β` such that `e ↑x = ↑(e₀ x)` for each `x : s` is equivalent to the set of equivalences
between `sᶜ` and `tᶜ`. -/
protected def compl {α : Type u} {β : Type v} {s : set α} {t : set β} [decidable_pred (∈ s)]
[decidable_pred (∈ t)] (e₀ : s ≃ t) :
{e : α ≃ β // ∀ x : s, e x = e₀ x} ≃ ((sᶜ : set α) ≃ (tᶜ : set β)) :=
{ to_fun := λ e, subtype_equiv e
(λ a, not_congr $ iff.symm $ maps_to.mem_iff
(maps_to_iff_exists_map_subtype.2 ⟨e₀, e.2⟩)
(surj_on.maps_to_compl (surj_on_iff_exists_map_subtype.2
⟨t, e₀, subset.refl t, e₀.surjective, e.2⟩) e.1.injective)),
inv_fun := λ e₁,
subtype.mk
(calc α ≃ s ⊕ (sᶜ : set α) : (set.sum_compl s).symm
... ≃ t ⊕ (tᶜ : set β) : e₀.sum_congr e₁
... ≃ β : set.sum_compl t)
(λ x, by simp only [sum.map_inl, trans_apply, sum_congr_apply,
set.sum_compl_apply_inl, set.sum_compl_symm_apply]),
left_inv := λ e,
begin
ext x,
by_cases hx : x ∈ s,
{ simp only [set.sum_compl_symm_apply_of_mem hx, ←e.prop ⟨x, hx⟩,
sum.map_inl, sum_congr_apply, trans_apply,
subtype.coe_mk, set.sum_compl_apply_inl] },
{ simp only [set.sum_compl_symm_apply_of_not_mem hx, sum.map_inr,
subtype_equiv_apply, set.sum_compl_apply_inr, trans_apply,
sum_congr_apply, subtype.coe_mk] },
end,
right_inv := λ e, equiv.ext $ λ x, by simp only [sum.map_inr, subtype_equiv_apply,
set.sum_compl_apply_inr, function.comp_app, sum_congr_apply, equiv.coe_trans,
subtype.coe_eta, subtype.coe_mk, set.sum_compl_symm_apply_compl] }
/-- The set product of two sets is equivalent to the type product of their coercions to types. -/
protected def prod {α β} (s : set α) (t : set β) :
↥(s ×ˢ t) ≃ s × t :=
@subtype_prod_equiv_prod α β s t
/-- The set `set.pi set.univ s` is equivalent to `Π a, s a`. -/
@[simps] protected def univ_pi {α : Type*} {β : α → Type*} (s : Π a, set (β a)) :
pi univ s ≃ Π a, s a :=
{ to_fun := λ f a, ⟨(f : Π a, β a) a, f.2 a (mem_univ a)⟩,
inv_fun := λ f, ⟨λ a, f a, λ a ha, (f a).2⟩,
left_inv := λ ⟨f, hf⟩, by { ext a, refl },
right_inv := λ f, by { ext a, refl } }
/-- If a function `f` is injective on a set `s`, then `s` is equivalent to `f '' s`. -/
protected noncomputable def image_of_inj_on {α β} (f : α → β) (s : set α) (H : inj_on f s) :
s ≃ (f '' s) :=
⟨λ p, ⟨f p, mem_image_of_mem f p.2⟩,
λ p, ⟨classical.some p.2, (classical.some_spec p.2).1⟩,
λ ⟨x, h⟩, subtype.eq (H (classical.some_spec (mem_image_of_mem f h)).1 h
(classical.some_spec (mem_image_of_mem f h)).2),
λ ⟨y, h⟩, subtype.eq (classical.some_spec h).2⟩
/-- If `f` is an injective function, then `s` is equivalent to `f '' s`. -/
@[simps apply]
protected noncomputable def image {α β} (f : α → β) (s : set α) (H : injective f) : s ≃ (f '' s) :=
equiv.set.image_of_inj_on f s (H.inj_on s)
@[simp] protected lemma image_symm_apply {α β} (f : α → β) (s : set α) (H : injective f)
(x : α) (h : x ∈ s) :
(set.image f s H).symm ⟨f x, ⟨x, ⟨h, rfl⟩⟩⟩ = ⟨x, h⟩ :=
begin
apply (set.image f s H).injective,
simp [(set.image f s H).apply_symm_apply],
end
lemma image_symm_preimage {α β} {f : α → β} (hf : injective f) (u s : set α) :
(λ x, (set.image f s hf).symm x : f '' s → α) ⁻¹' u = coe ⁻¹' (f '' u) :=
begin
ext ⟨b, a, has, rfl⟩,
have : ∀(h : ∃a', a' ∈ s ∧ a' = a), classical.some h = a := λ h, (classical.some_spec h).2,
simp [equiv.set.image, equiv.set.image_of_inj_on, hf.eq_iff, this],
end
/-- If `α` is equivalent to `β`, then `set α` is equivalent to `set β`. -/
@[simps]
protected def congr {α β : Type*} (e : α ≃ β) : set α ≃ set β :=
⟨λ s, e '' s, λ t, e.symm '' t, symm_image_image e, symm_image_image e.symm⟩
/-- The set `{x ∈ s | t x}` is equivalent to the set of `x : s` such that `t x`. -/
protected def sep {α : Type u} (s : set α) (t : α → Prop) :
({ x ∈ s | t x } : set α) ≃ { x : s | t x } :=
(equiv.subtype_subtype_equiv_subtype_inter s t).symm
/-- The set `𝒫 S := {x | x ⊆ S}` is equivalent to the type `set S`. -/
protected def powerset {α} (S : set α) : 𝒫 S ≃ set S :=
{ to_fun := λ x : 𝒫 S, coe ⁻¹' (x : set α),
inv_fun := λ x : set S, ⟨coe '' x, by rintro _ ⟨a : S, _, rfl⟩; exact a.2⟩,
left_inv := λ x, by ext y; exact ⟨λ ⟨⟨_, _⟩, h, rfl⟩, h, λ h, ⟨⟨_, x.2 h⟩, h, rfl⟩⟩,
right_inv := λ x, by ext; simp }
/--
If `s` is a set in `range f`,
then its image under `range_splitting f` is in bijection (via `f`) with `s`.
-/
@[simps]
noncomputable def range_splitting_image_equiv {α β : Type*} (f : α → β) (s : set (range f)) :
range_splitting f '' s ≃ s :=
{ to_fun := λ x, ⟨⟨f x, by simp⟩,
(by { rcases x with ⟨x, ⟨y, ⟨m, rfl⟩⟩⟩, simpa [apply_range_splitting f] using m, })⟩,
inv_fun := λ x, ⟨range_splitting f x, ⟨x, ⟨x.2, rfl⟩⟩⟩,
left_inv := λ x, by { rcases x with ⟨x, ⟨y, ⟨m, rfl⟩⟩⟩, simp [apply_range_splitting f] },
right_inv := λ x, by simp [apply_range_splitting f], }
end set
/-- If `f : α → β` has a left-inverse when `α` is nonempty, then `α` is computably equivalent to the
range of `f`.
While awkward, the `nonempty α` hypothesis on `f_inv` and `hf` allows this to be used when `α` is
empty too. This hypothesis is absent on analogous definitions on stronger `equiv`s like
`linear_equiv.of_left_inverse` and `ring_equiv.of_left_inverse` as their typeclass assumptions
are already sufficient to ensure non-emptiness. -/
@[simps]
def of_left_inverse {α β : Sort*}
(f : α → β) (f_inv : nonempty α → β → α) (hf : Π h : nonempty α, left_inverse (f_inv h) f) :
α ≃ range f :=
{ to_fun := λ a, ⟨f a, a, rfl⟩,
inv_fun := λ b, f_inv (nonempty_of_exists b.2) b,
left_inv := λ a, hf ⟨a⟩ a,
right_inv := λ ⟨b, a, ha⟩, subtype.eq $ show f (f_inv ⟨a⟩ b) = b,
from eq.trans (congr_arg f $ by exact ha ▸ (hf _ a)) ha }
/-- If `f : α → β` has a left-inverse, then `α` is computably equivalent to the range of `f`.
Note that if `α` is empty, no such `f_inv` exists and so this definition can't be used, unlike
the stronger but less convenient `of_left_inverse`. -/
abbreviation of_left_inverse' {α β : Sort*}
(f : α → β) (f_inv : β → α) (hf : left_inverse f_inv f) :
α ≃ range f :=
of_left_inverse f (λ _, f_inv) (λ _, hf)
/-- If `f : α → β` is an injective function, then domain `α` is equivalent to the range of `f`. -/
@[simps apply]
noncomputable def of_injective {α β} (f : α → β) (hf : injective f) : α ≃ range f :=
equiv.of_left_inverse f
(λ h, by exactI function.inv_fun f) (λ h, by exactI function.left_inverse_inv_fun hf)
theorem apply_of_injective_symm {α β} {f : α → β} (hf : injective f) (b : range f) :
f ((of_injective f hf).symm b) = b :=
subtype.ext_iff.1 $ (of_injective f hf).apply_symm_apply b
@[simp] theorem of_injective_symm_apply {α β} {f : α → β} (hf : injective f) (a : α) :
(of_injective f hf).symm ⟨f a, ⟨a, rfl⟩⟩ = a :=
begin
apply (of_injective f hf).injective,
simp [apply_of_injective_symm hf],
end
lemma coe_of_injective_symm {α β} {f : α → β} (hf : injective f) :
((of_injective f hf).symm : range f → α) = range_splitting f :=
by { ext ⟨y, x, rfl⟩, apply hf, simp [apply_range_splitting f] }
@[simp] lemma self_comp_of_injective_symm {α β} {f : α → β} (hf : injective f) :
f ∘ ((of_injective f hf).symm) = coe :=
funext (λ x, apply_of_injective_symm hf x)
lemma of_left_inverse_eq_of_injective {α β : Type*}
(f : α → β) (f_inv : nonempty α → β → α) (hf : Π h : nonempty α, left_inverse (f_inv h) f) :
of_left_inverse f f_inv hf = of_injective f
((em (nonempty α)).elim (λ h, (hf h).injective) (λ h _ _ _, by
{ haveI : subsingleton α := subsingleton_of_not_nonempty h, simp })) :=
by { ext, simp }
lemma of_left_inverse'_eq_of_injective {α β : Type*}
(f : α → β) (f_inv : β → α) (hf : left_inverse f_inv f) :
of_left_inverse' f f_inv hf = of_injective f hf.injective :=
by { ext, simp }
protected lemma set_forall_iff {α β} (e : α ≃ β) {p : set α → Prop} :
(∀ a, p a) ↔ (∀ a, p (e ⁻¹' a)) :=
e.injective.preimage_surjective.forall
lemma preimage_pi_equiv_pi_subtype_prod_symm_pi {α : Type*} {β : α → Type*}
(p : α → Prop) [decidable_pred p] (s : Π i, set (β i)) :
(pi_equiv_pi_subtype_prod p β).symm ⁻¹' pi univ s =
(pi univ (λ i : {i // p i}, s i)) ×ˢ pi univ (λ i : {i // ¬p i}, s i) :=
begin
ext ⟨f, g⟩,
simp only [mem_preimage, mem_univ_pi, prod_mk_mem_set_prod_eq, subtype.forall,
← forall_and_distrib],
refine forall_congr (λ i, _),
dsimp only [subtype.coe_mk],
by_cases hi : p i; simp [hi]
end
/-- `sigma_fiber_equiv f` for `f : α → β` is the natural equivalence between
the type of all preimages of points under `f` and the total space `α`. -/
-- See also `equiv.sigma_fiber_equiv`.
@[simps] def sigma_preimage_equiv {α β} (f : α → β) : (Σ b, f ⁻¹' {b}) ≃ α :=
sigma_fiber_equiv f
/-- A family of equivalences between preimages of points gives an equivalence between domains. -/
-- See also `equiv.of_fiber_equiv`.
@[simps]
def of_preimage_equiv {α β γ} {f : α → γ} {g : β → γ} (e : Π c, (f ⁻¹' {c}) ≃ (g ⁻¹' {c})) :
α ≃ β :=
equiv.of_fiber_equiv e
lemma of_preimage_equiv_map {α β γ} {f : α → γ} {g : β → γ}
(e : Π c, (f ⁻¹' {c}) ≃ (g ⁻¹' {c})) (a : α) : g (of_preimage_equiv e a) = f a :=
equiv.of_fiber_equiv_map e a
end equiv
/-- If a function is a bijection between two sets `s` and `t`, then it induces an
equivalence between the types `↥s` and `↥t`. -/
noncomputable def set.bij_on.equiv {α : Type*} {β : Type*} {s : set α} {t : set β} (f : α → β)
(h : bij_on f s t) : s ≃ t :=
equiv.of_bijective _ h.bijective
/-- The composition of an updated function with an equiv on a subset can be expressed as an
updated function. -/
lemma dite_comp_equiv_update {α : Type*} {β : Sort*} {γ : Sort*} {s : set α} (e : β ≃ s)
(v : β → γ) (w : α → γ) (j : β) (x : γ) [decidable_eq β] [decidable_eq α]
[∀ j, decidable (j ∈ s)] :
(λ (i : α), if h : i ∈ s then (function.update v j x) (e.symm ⟨i, h⟩) else w i) =
function.update (λ (i : α), if h : i ∈ s then v (e.symm ⟨i, h⟩) else w i) (e j) x :=
begin
ext i,
by_cases h : i ∈ s,
{ rw [dif_pos h,
function.update_apply_equiv_apply, equiv.symm_symm, function.comp,
function.update_apply, function.update_apply,
dif_pos h],
have h_coe : (⟨i, h⟩ : s) = e j ↔ i = e j := subtype.ext_iff.trans (by rw subtype.coe_mk),
simp_rw h_coe },
{ have : i ≠ e j,
by { contrapose! h, have : (e j : α) ∈ s := (e j).2, rwa ← h at this },
simp [h, this] }
end
|
db4f88244522b76514000027d4925e3a117d01c0 | 26ac254ecb57ffcb886ff709cf018390161a9225 | /src/category_theory/limits/shapes/kernels.lean | a8947a4d1f81a600467bd41b70c0ada67a03368c | [
"Apache-2.0"
] | permissive | eric-wieser/mathlib | 42842584f584359bbe1fc8b88b3ff937c8acd72d | d0df6b81cd0920ad569158c06a3fd5abb9e63301 | refs/heads/master | 1,669,546,404,255 | 1,595,254,668,000 | 1,595,254,668,000 | 281,173,504 | 0 | 0 | Apache-2.0 | 1,595,263,582,000 | 1,595,263,581,000 | null | UTF-8 | Lean | false | false | 18,790 | lean | /-
Copyright (c) 2019 Scott Morrison. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Scott Morrison, Markus Himmel
-/
import category_theory.limits.shapes.zero
/-!
# Kernels and cokernels
In a category with zero morphisms, the kernel of a morphism `f : X ⟶ Y` is the equalizer of `f`
and `0 : X ⟶ Y`. (Similarly the cokernel is the coequalizer.)
The basic definitions are
* `kernel : (X ⟶ Y) → C`
* `kernel.ι : kernel f ⟶ X`
* `kernel.condition : kernel.ι f ≫ f = 0` and
* `kernel.lift (k : W ⟶ X) (h : k ≫ f = 0) : W ⟶ kernel f` (as well as the dual versions)
## Main statements
Besides the definition and lifts, we prove
* `kernel.ι_zero_is_iso`: a kernel map of a zero morphism is an isomorphism
* `kernel.eq_zero_of_epi_kernel`: if `kernel.ι f` is an epimorphism, then `f = 0`
* `kernel.of_mono`: the kernel of a monomorphism is the zero object
* `kernel.lift_mono`: the lift of a monomorphism `k : W ⟶ X` such that `k ≫ f = 0`
is still a monomorphism
* `kernel.is_limit_cone_zero_cone`: if our category has a zero object, then the map from the zero
obect is a kernel map of any monomorphism
* `kernel.ι_of_zero`: `kernel.ι (0 : X ⟶ Y)` is an isomorphism
and the corresponding dual statements.
## Future work
* TODO: connect this with existing working in the group theory and ring theory libraries.
## Implementation notes
As with the other special shapes in the limits library, all the definitions here are given as
`abbreviation`s of the general statements for limits, so all the `simp` lemmas and theorems about
general limits can be used.
## References
* [F. Borceux, *Handbook of Categorical Algebra 2*][borceux-vol2]
-/
universes v u
open category_theory
open category_theory.limits.walking_parallel_pair
namespace category_theory.limits
variables {C : Type u} [category.{v} C]
variables [has_zero_morphisms C]
/-- A morphism `f` has a kernel if the functor `parallel_pair f 0` has a limit. -/
abbreviation has_kernel {X Y : C} (f : X ⟶ Y) : Type (max u v) := has_limit (parallel_pair f 0)
/-- A morphism `f` has a cokernel if the functor `parallel_pair f 0` has a colimit. -/
abbreviation has_cokernel {X Y : C} (f : X ⟶ Y) : Type (max u v) := has_colimit (parallel_pair f 0)
variables {X Y : C} (f : X ⟶ Y)
section
/-- A kernel fork is just a fork where the second morphism is a zero morphism. -/
abbreviation kernel_fork := fork f 0
variables {f}
@[simp, reassoc] lemma kernel_fork.condition (s : kernel_fork f) : fork.ι s ≫ f = 0 :=
by erw [fork.condition, has_zero_morphisms.comp_zero]
@[simp] lemma kernel_fork.app_one (s : kernel_fork f) : s.π.app one = 0 :=
by rw [←fork.app_zero_left, kernel_fork.condition]
/-- A morphism `ι` satisfying `ι ≫ f = 0` determines a kernel fork over `f`. -/
abbreviation kernel_fork.of_ι {Z : C} (ι : Z ⟶ X) (w : ι ≫ f = 0) : kernel_fork f :=
fork.of_ι ι $ by rw [w, has_zero_morphisms.comp_zero]
@[simp] lemma kernel_fork.ι_of_ι {X Y P : C} (f : X ⟶ Y) (ι : P ⟶ X) (w : ι ≫ f = 0) :
fork.ι (kernel_fork.of_ι ι w) = ι := rfl
/-- If `s` is a limit kernel fork and `k : W ⟶ X` satisfies ``k ≫ f = 0`, then there is some
`l : W ⟶ s.X` sich that `l ≫ fork.ι s = k`. -/
def kernel_fork.is_limit.lift' {s : kernel_fork f} (hs : is_limit s) {W : C} (k : W ⟶ X)
(h : k ≫ f = 0) : {l : W ⟶ s.X // l ≫ fork.ι s = k} :=
⟨hs.lift $ kernel_fork.of_ι _ h, hs.fac _ _⟩
end
section
variables [has_kernel f]
/-- The kernel of a morphism, expressed as the equalizer with the 0 morphism. -/
abbreviation kernel : C := equalizer f 0
/-- The map from `kernel f` into the source of `f`. -/
abbreviation kernel.ι : kernel f ⟶ X := equalizer.ι f 0
@[simp, reassoc] lemma kernel.condition : kernel.ι f ≫ f = 0 :=
kernel_fork.condition _
/-- Given any morphism `k : W ⟶ X` satisfying `k ≫ f = 0`, `k` factors through `kernel.ι f`
via `kernel.lift : W ⟶ kernel f`. -/
abbreviation kernel.lift {W : C} (k : W ⟶ X) (h : k ≫ f = 0) : W ⟶ kernel f :=
limit.lift (parallel_pair f 0) (kernel_fork.of_ι k h)
@[simp, reassoc]
lemma kernel.lift_ι {W : C} (k : W ⟶ X) (h : k ≫ f = 0) : kernel.lift f k h ≫ kernel.ι f = k :=
limit.lift_π _ _
@[simp]
lemma kernel.lift_zero {W : C} {h} : kernel.lift f (0 : W ⟶ X) h = 0 :=
by { ext, simp, }
instance kernel.lift_mono {W : C} (k : W ⟶ X) (h : k ≫ f = 0) [mono k] : mono (kernel.lift f k h) :=
⟨λ Z g g' w,
begin
replace w := w =≫ kernel.ι f,
simp only [category.assoc, kernel.lift_ι] at w,
exact (cancel_mono k).1 w,
end⟩
/-- Any morphism `k : W ⟶ X` satisfying `k ≫ f = 0` induces a morphism `l : W ⟶ kernel f` such that
`l ≫ kernel.ι f = k`. -/
def kernel.lift' {W : C} (k : W ⟶ X) (h : k ≫ f = 0) : {l : W ⟶ kernel f // l ≫ kernel.ι f = k} :=
⟨kernel.lift f k h, kernel.lift_ι _ _ _⟩
/-- Every kernel of the zero morphism is an isomorphism -/
instance kernel.ι_zero_is_iso [has_kernel (0 : X ⟶ Y)] :
is_iso (kernel.ι (0 : X ⟶ Y)) :=
equalizer.ι_of_self _
lemma eq_zero_of_epi_kernel [epi (kernel.ι f)] : f = 0 :=
(cancel_epi (kernel.ι f)).1 (by simp)
/-- The kernel of a zero morphism is isomorphic to the source. -/
def kernel_zero_iso_source [has_kernel (0 : X ⟶ Y)] : kernel (0 : X ⟶ Y) ≅ X :=
equalizer.iso_source_of_self 0
@[simp] lemma kernel_zero_iso_source_hom [has_kernel (0 : X ⟶ Y)] :
kernel_zero_iso_source.hom = kernel.ι (0 : X ⟶ Y) := rfl
@[simp] lemma kernel_zero_iso_source_inv [has_kernel (0 : X ⟶ Y)] :
kernel_zero_iso_source.inv = kernel.lift (0 : X ⟶ Y) (𝟙 X) (by simp) := rfl
/-- If two morphisms are known to be equal, then their kernels are isomorphic. -/
def kernel_iso_of_eq {f g : X ⟶ Y} [has_kernel f] [has_kernel g] (h : f = g) :
kernel f ≅ kernel g :=
has_limit.iso_of_nat_iso (by simp[h])
@[simp]
lemma kernel_iso_of_eq_refl {h : f = f} : kernel_iso_of_eq h = iso.refl (kernel f) :=
by { ext, simp [kernel_iso_of_eq], }
@[simp]
lemma kernel_iso_of_eq_trans {f g h : X ⟶ Y} [has_kernel f] [has_kernel g] [has_kernel h]
(w₁ : f = g) (w₂ : g = h) :
kernel_iso_of_eq w₁ ≪≫ kernel_iso_of_eq w₂ = kernel_iso_of_eq (w₁.trans w₂) :=
by { unfreezingI { induction w₁, induction w₂, }, ext, simp [kernel_iso_of_eq], }
variables {f}
lemma kernel_not_epi_of_nonzero (w : f ≠ 0) : ¬epi (kernel.ι f) :=
λ I, by exactI w (eq_zero_of_epi_kernel f)
lemma kernel_not_iso_of_nonzero (w : f ≠ 0) : (is_iso (kernel.ι f)) → false :=
λ I, kernel_not_epi_of_nonzero w $ by { resetI, apply_instance }
end
section has_zero_object
variables [has_zero_object C]
local attribute [instance] has_zero_object.has_zero
/-- The morphism from the zero object determines a cone on a kernel diagram -/
def kernel.zero_cone : cone (parallel_pair f 0) :=
{ X := 0,
π := { app := λ j, 0 }}
/-- The map from the zero object is a kernel of a monomorphism -/
def kernel.is_limit_cone_zero_cone [mono f] : is_limit (kernel.zero_cone f) :=
fork.is_limit.mk _ (λ s, 0)
(λ s, by { erw has_zero_morphisms.zero_comp,
convert (zero_of_comp_mono f _).symm,
exact kernel_fork.condition _ })
(λ _ _ _, zero_of_to_zero _)
/-- The kernel of a monomorphism is isomorphic to the zero object -/
def kernel.of_mono [has_kernel f] [mono f] : kernel f ≅ 0 :=
functor.map_iso (cones.forget _) $ is_limit.unique_up_to_iso
(limit.is_limit (parallel_pair f 0)) (kernel.is_limit_cone_zero_cone f)
/-- The kernel morphism of a monomorphism is a zero morphism -/
lemma kernel.ι_of_mono [has_kernel f] [mono f] : kernel.ι f = 0 :=
zero_of_source_iso_zero _ (kernel.of_mono f)
end has_zero_object
section transport
/-- If `i` is an isomorphism such that `l ≫ i.hom = f`, then any kernel of `f` is a kernel of `l`.-/
def is_kernel.of_comp_iso {Z : C} (l : X ⟶ Z) (i : Z ≅ Y) (h : l ≫ i.hom = f)
{s : kernel_fork f} (hs : is_limit s) : is_limit (kernel_fork.of_ι (fork.ι s) $
show fork.ι s ≫ l = 0, by simp [←i.comp_inv_eq.2 h.symm]) :=
fork.is_limit.mk _
(λ s, hs.lift $ kernel_fork.of_ι (fork.ι s) $ by simp [←h])
(λ s, by simp)
(λ s m h, by { apply fork.is_limit.hom_ext hs, simpa using h walking_parallel_pair.zero })
/-- If `i` is an isomorphism such that `l ≫ i.hom = f`, then the kernel of `f` is a kernel of `l`.-/
def kernel.of_comp_iso [has_kernel f]
{Z : C} (l : X ⟶ Z) (i : Z ≅ Y) (h : l ≫ i.hom = f) :
is_limit (kernel_fork.of_ι (kernel.ι f) $
show kernel.ι f ≫ l = 0, by simp [←i.comp_inv_eq.2 h.symm]) :=
is_kernel.of_comp_iso f l i h $ limit.is_limit _
/-- If `s` is any limit kernel cone over `f` and if `i` is an isomorphism such that
`i.hom ≫ s.ι = l`, then `l` is a kernel of `f`. -/
def is_kernel.iso_kernel {Z : C} (l : Z ⟶ X) {s : kernel_fork f} (hs : is_limit s)
(i : Z ≅ s.X) (h : i.hom ≫ fork.ι s = l) : is_limit (kernel_fork.of_ι l $
show l ≫ f = 0, by simp [←h]) :=
is_limit.of_iso_limit hs $ cones.ext i.symm $ λ j,
by { cases j, { exact (iso.eq_inv_comp i).2 h }, { simp } }
/-- If `i` is an isomorphism such that `i.hom ≫ kernel.ι f = l`, then `l` is a kernel of `f`. -/
def kernel.iso_kernel [has_kernel f]
{Z : C} (l : Z ⟶ X) (i : Z ≅ kernel f) (h : i.hom ≫ kernel.ι f = l) :
is_limit (kernel_fork.of_ι l $ by simp [←h]) :=
is_kernel.iso_kernel f l (limit.is_limit _) i h
end transport
section
variables (X Y)
/-- The kernel morphism of a zero morphism is an isomorphism -/
def kernel.ι_of_zero [has_kernel (0 : X ⟶ Y)] : is_iso (kernel.ι (0 : X ⟶ Y)) :=
equalizer.ι_of_self _
end
section
/-- A cokernel cofork is just a cofork where the second morphism is a zero morphism. -/
abbreviation cokernel_cofork := cofork f 0
variables {f}
@[simp, reassoc] lemma cokernel_cofork.condition (s : cokernel_cofork f) : f ≫ cofork.π s = 0 :=
by rw [cofork.condition, has_zero_morphisms.zero_comp]
@[simp] lemma cokernel_cofork.app_zero (s : cokernel_cofork f) : s.ι.app zero = 0 :=
by rw [←cofork.left_app_one, cokernel_cofork.condition]
/-- A morphism `π` satisfying `f ≫ π = 0` determines a cokernel cofork on `f`. -/
abbreviation cokernel_cofork.of_π {Z : C} (π : Y ⟶ Z) (w : f ≫ π = 0) : cokernel_cofork f :=
cofork.of_π π $ by rw [w, has_zero_morphisms.zero_comp]
@[simp] lemma cokernel_cofork.π_of_π {X Y P : C} (f : X ⟶ Y) (π : Y ⟶ P) (w : f ≫ π = 0) :
cofork.π (cokernel_cofork.of_π π w) = π := rfl
/-- If `s` is a colimit cokernel cofork, then every `k : Y ⟶ W` satisfying `f ≫ k = 0` induces
`l : s.X ⟶ W` such that `cofork.π s ≫ l = k`. -/
def cokernel_cofork.is_colimit.desc' {s : cokernel_cofork f} (hs : is_colimit s) {W : C} (k : Y ⟶ W)
(h : f ≫ k = 0) : {l : s.X ⟶ W // cofork.π s ≫ l = k} :=
⟨hs.desc $ cokernel_cofork.of_π _ h, hs.fac _ _⟩
end
section
variables [has_cokernel f]
/-- The cokernel of a morphism, expressed as the coequalizer with the 0 morphism. -/
abbreviation cokernel : C := coequalizer f 0
/-- The map from the target of `f` to `cokernel f`. -/
abbreviation cokernel.π : Y ⟶ cokernel f := coequalizer.π f 0
@[simp, reassoc] lemma cokernel.condition : f ≫ cokernel.π f = 0 :=
cokernel_cofork.condition _
/-- Given any morphism `k : Y ⟶ W` such that `f ≫ k = 0`, `k` factors through `cokernel.π f`
via `cokernel.desc : cokernel f ⟶ W`. -/
abbreviation cokernel.desc {W : C} (k : Y ⟶ W) (h : f ≫ k = 0) : cokernel f ⟶ W :=
colimit.desc (parallel_pair f 0) (cokernel_cofork.of_π k h)
@[simp, reassoc]
lemma cokernel.π_desc {W : C} (k : Y ⟶ W) (h : f ≫ k = 0) :
cokernel.π f ≫ cokernel.desc f k h = k :=
colimit.ι_desc _ _
@[simp]
lemma cokernel.desc_zero {W : C} {h} : cokernel.desc f (0 : Y ⟶ W) h = 0 :=
by { ext, simp, }
instance cokernel.desc_epi {W : C} (k : Y ⟶ W) (h : f ≫ k = 0) [epi k] : epi (cokernel.desc f k h) :=
⟨λ Z g g' w,
begin
replace w := cokernel.π f ≫= w,
simp only [cokernel.π_desc_assoc] at w,
exact (cancel_epi k).1 w,
end⟩
/-- Any morphism `k : Y ⟶ W` satisfying `f ≫ k = 0` induces `l : cokernel f ⟶ W` such that
`cokernel.π f ≫ l = k`. -/
def cokernel.desc' {W : C} (k : Y ⟶ W) (h : f ≫ k = 0) :
{l : cokernel f ⟶ W // cokernel.π f ≫ l = k} :=
⟨cokernel.desc f k h, cokernel.π_desc _ _ _⟩
/-- The cokernel of the zero morphism is an isomorphism -/
instance cokernel.π_zero_is_iso [has_colimit (parallel_pair (0 : X ⟶ Y) 0)] :
is_iso (cokernel.π (0 : X ⟶ Y)) :=
coequalizer.π_of_self _
lemma eq_zero_of_mono_cokernel [mono (cokernel.π f)] : f = 0 :=
(cancel_mono (cokernel.π f)).1 (by simp)
/-- The cokernel of a zero morphism is isomorphic to the target. -/
def cokernel_zero_iso_target [has_cokernel (0 : X ⟶ Y)] : cokernel (0 : X ⟶ Y) ≅ Y :=
coequalizer.iso_target_of_self 0
@[simp] lemma cokernel_zero_iso_target_hom [has_cokernel (0 : X ⟶ Y)] :
cokernel_zero_iso_target.hom = cokernel.desc (0 : X ⟶ Y) (𝟙 Y) (by simp) := rfl
@[simp] lemma cokernel_zero_iso_target_inv [has_cokernel (0 : X ⟶ Y)] :
cokernel_zero_iso_target.inv = cokernel.π (0 : X ⟶ Y) := rfl
/-- If two morphisms are known to be equal, then their cokernels are isomorphic. -/
def cokernel_iso_of_eq {f g : X ⟶ Y} [has_cokernel f] [has_cokernel g] (h : f = g) :
cokernel f ≅ cokernel g :=
has_colimit.iso_of_nat_iso (by simp[h])
@[simp]
lemma cokernel_iso_of_eq_refl {h : f = f} : cokernel_iso_of_eq h = iso.refl (cokernel f) :=
by { ext, simp [cokernel_iso_of_eq], }
@[simp]
lemma cokernel_iso_of_eq_trans {f g h : X ⟶ Y} [has_cokernel f] [has_cokernel g] [has_cokernel h]
(w₁ : f = g) (w₂ : g = h) :
cokernel_iso_of_eq w₁ ≪≫ cokernel_iso_of_eq w₂ = cokernel_iso_of_eq (w₁.trans w₂) :=
by { unfreezingI { induction w₁, induction w₂, }, ext, simp [cokernel_iso_of_eq], }
variables {f}
lemma cokernel_not_mono_of_nonzero (w : f ≠ 0) : ¬mono (cokernel.π f) :=
λ I, by exactI w (eq_zero_of_mono_cokernel f)
lemma cokernel_not_iso_of_nonzero (w : f ≠ 0) : (is_iso (cokernel.π f)) → false :=
λ I, cokernel_not_mono_of_nonzero w $ by { resetI, apply_instance }
end
section has_zero_object
variables [has_zero_object C]
local attribute [instance] has_zero_object.has_zero
/-- The morphism to the zero object determines a cocone on a cokernel diagram -/
def cokernel.zero_cocone : cocone (parallel_pair f 0) :=
{ X := 0,
ι := { app := λ j, 0 } }
/-- The morphism to the zero object is a cokernel of an epimorphism -/
def cokernel.is_colimit_cocone_zero_cocone [epi f] : is_colimit (cokernel.zero_cocone f) :=
cofork.is_colimit.mk _ (λ s, 0)
(λ s, by { erw has_zero_morphisms.zero_comp,
convert (zero_of_epi_comp f _).symm,
exact cokernel_cofork.condition _ })
(λ _ _ _, zero_of_from_zero _)
/-- The cokernel of an epimorphism is isomorphic to the zero object -/
def cokernel.of_epi [has_cokernel f] [epi f] : cokernel f ≅ 0 :=
functor.map_iso (cocones.forget _) $ is_colimit.unique_up_to_iso
(colimit.is_colimit (parallel_pair f 0)) (cokernel.is_colimit_cocone_zero_cocone f)
/-- The cokernel morphism of an epimorphism is a zero morphism -/
lemma cokernel.π_of_epi [has_cokernel f] [epi f] : cokernel.π f = 0 :=
zero_of_target_iso_zero _ (cokernel.of_epi f)
end has_zero_object
section
variables (X Y)
/-- The cokernel of a zero morphism is an isomorphism -/
def cokernel.π_of_zero [has_cokernel (0 : X ⟶ Y)] :
is_iso (cokernel.π (0 : X ⟶ Y)) :=
coequalizer.π_of_self _
end
section has_zero_object
variables [has_zero_object C]
local attribute [instance] has_zero_object.has_zero
/-- The kernel of the cokernel of an epimorphism is an isomorphism -/
instance kernel.of_cokernel_of_epi [has_cokernel f]
[has_kernel (cokernel.π f)] [epi f] : is_iso (kernel.ι (cokernel.π f)) :=
equalizer.ι_of_eq $ cokernel.π_of_epi f
/-- The cokernel of the kernel of a monomorphism is an isomorphism -/
instance cokernel.of_kernel_of_mono [has_kernel f]
[has_cokernel (kernel.ι f)] [mono f] : is_iso (cokernel.π (kernel.ι f)) :=
coequalizer.π_of_eq $ kernel.ι_of_mono f
end has_zero_object
section transport
/-- If `i` is an isomorphism such that `i.hom ≫ l = f`, then any cokernel of `f` is a cokernel of
`l`. -/
def is_cokernel.of_iso_comp {Z : C} (l : Z ⟶ Y) (i : X ≅ Z) (h : i.hom ≫ l = f)
{s : cokernel_cofork f} (hs : is_colimit s) : is_colimit (cokernel_cofork.of_π (cofork.π s) $
show l ≫ cofork.π s = 0, by simp [i.eq_inv_comp.2 h]) :=
cofork.is_colimit.mk _
(λ s, hs.desc $ cokernel_cofork.of_π (cofork.π s) $ by simp [←h])
(λ s, by simp)
(λ s m h, by { apply cofork.is_colimit.hom_ext hs, simpa using h walking_parallel_pair.one })
/-- If `i` is an isomorphism such that `i.hom ≫ l = f`, then the cokernel of `f` is a cokernel of
`l`. -/
def cokernel.of_iso_comp [has_cokernel f]
{Z : C} (l : Z ⟶ Y) (i : X ≅ Z) (h : i.hom ≫ l = f) :
is_colimit (cokernel_cofork.of_π (cokernel.π f) $
show l ≫ cokernel.π f = 0, by simp [i.eq_inv_comp.2 h]) :=
is_cokernel.of_iso_comp f l i h $ colimit.is_colimit _
/-- If `s` is any colimit cokernel cocone over `f` and `i` is an isomorphism such that
`s.π ≫ i.hom = l`, then `l` is a cokernel of `f`. -/
def is_cokernel.cokernel_iso {Z : C} (l : Y ⟶ Z) {s : cokernel_cofork f} (hs : is_colimit s)
(i : s.X ≅ Z) (h : cofork.π s ≫ i.hom = l) : is_colimit (cokernel_cofork.of_π l $
show f ≫ l = 0, by simp [←h]) :=
is_colimit.of_iso_colimit hs $ cocones.ext i $ λ j, by { cases j, { simp }, { exact h } }
/-- If `i` is an isomorphism such that `cokernel.π f ≫ i.hom = l`, then `l` is a cokernel of `f`. -/
def cokernel.cokernel_iso [has_cokernel f]
{Z : C} (l : Y ⟶ Z) (i : cokernel f ≅ Z) (h : cokernel.π f ≫ i.hom = l) :
is_colimit (cokernel_cofork.of_π l $ by simp [←h]) :=
is_cokernel.cokernel_iso f l (colimit.is_colimit _) i h
end transport
end category_theory.limits
namespace category_theory.limits
variables (C : Type u) [category.{v} C]
variables [has_zero_morphisms C]
/-- `has_kernels` represents a choice of kernel for every morphism -/
class has_kernels :=
(has_limit : Π {X Y : C} (f : X ⟶ Y), has_kernel f)
/-- `has_cokernels` represents a choice of cokernel for every morphism -/
class has_cokernels :=
(has_colimit : Π {X Y : C} (f : X ⟶ Y), has_cokernel f)
attribute [instance, priority 100] has_kernels.has_limit has_cokernels.has_colimit
@[priority 100]
instance has_kernels_of_has_equalizers [has_equalizers C] : has_kernels C :=
{ has_limit := infer_instance }
@[priority 100]
instance has_cokernels_of_has_coequalizers [has_coequalizers C] : has_cokernels C :=
{ has_colimit := infer_instance }
end category_theory.limits
|
5a97012000f8d23a043354cf49f75659d58179eb | 9a0b1b3a653ea926b03d1495fef64da1d14b3174 | /tidy/rewrite_search/core/debug.lean | afc48b048ce4477566e8088ec0051e1364743c91 | [
"Apache-2.0"
] | permissive | khoek/mathlib-tidy | 8623b27b4e04e7d598164e7eaf248610d58f768b | 866afa6ab597c47f1b72e8fe2b82b97fff5b980f | refs/heads/master | 1,585,598,975,772 | 1,538,659,544,000 | 1,538,659,544,000 | null | 0 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 2,397 | lean | import .types
namespace tidy.rewrite_search
namespace search_state
variables {α β γ δ : Type} (g : search_state α β γ δ)
meta def trace_tactic {ε : Type} [has_to_tactic_format ε] (fn : tactic ε) : tactic unit :=
if g.conf.trace then do ev ← fn, tactic.trace ev else tactic.skip
meta def trace {ε : Type} [has_to_tactic_format ε] (s : ε) : tactic unit :=
g.trace_tactic $ return s
meta def tracer_vertex_added (v : vertex) : tactic unit := do
g.tr.publish_vertex g.tr_state v,
g.trace_tactic $ return format!"addV({v.id.to_string}): {v.pp}"
meta def tracer_edge_added (e : edge) : tactic unit := do
g.tr.publish_edge g.tr_state e,
g.trace_tactic $ return format!"addE: {e.f.to_string}→{e.t.to_string}"
meta def tracer_visited (v : vertex) : tactic unit :=
g.tr.publish_visited g.tr_state v
meta def tracer_search_finished (es : list edge) : tactic unit := do
g.tr.publish_finished g.tr_state es,
g.trace "Done!"
meta def tracer_dump {ε : Type} [has_to_tactic_format ε] (s : ε) : tactic unit := do
fmt ← has_to_tactic_format.to_tactic_format s,
let str := fmt.to_string,
g.tr.dump g.tr_state str,
g.trace str
end search_state
namespace inst
variables {α β γ δ : Type} (i : inst α β γ δ)
meta def dump_rws : list (expr × expr × ℕ × ℕ) → tactic unit
| [] := tactic.skip
| (a :: rest) := do tactic.trace format!"→{a.1}\nPF:{a.2}", dump_rws rest
meta def dump_tokens : list token → tactic unit
| [] := tactic.skip
| (a :: rest) := do
tactic.trace format!"V{a.id.to_string}:{a.str}|{a.freq.get side.L}v{a.freq.get side.R}",
dump_tokens rest
meta def dump_vertices : list vertex → tactic unit
| [] := tactic.skip
| (a :: rest) := do
let pfx : string := match a.parent with
| none := "?"
| some p := p.f.to_string
end,
i.g.tracer_dump (to_string format!"V{a.id.to_string}:{a.pp}<-{pfx}:{a.root}"),
dump_vertices rest
meta def dump_edges : list edge → tactic unit
| [] := tactic.skip
| (a :: rest) := do
(vf, vt) ← i.g.get_endpoints a,
i.g.tracer_dump format!"E{vf.pp}→{vt.pp}",
dump_edges rest
meta def dump_estimates : list (dist_estimate γ) → tactic unit
| [] := tactic.trace ""
| (a :: rest) := do
(lpp, rpp) ← i.g.get_estimate_verts a,
i.g.tracer_dump format!"I{lpp}-{rpp}:{a.bnd.bound}",
dump_estimates rest
end inst
end tidy.rewrite_search |
5bdfb9f2ff2b1b5fdd1a7576643e038db49c19ea | 134f41f2063f9d56ba4ef0d82b7713ce5ff2d1a1 | /mm0-lean/bits.lean | 2c97a938c13f6735c1e7ddff61f54446ba640677 | [] | no_license | giomasce/mm0 | 4defbe95dcaa96158ba320bffd53e04e3a78ba03 | 1eb268389afe782634b48e37b36a5495d62b8f7f | refs/heads/master | 1,587,790,501,031 | 1,569,488,986,000 | 1,569,488,986,000 | 172,525,992 | 0 | 0 | null | 1,551,106,511,000 | 1,551,106,510,000 | null | UTF-8 | Lean | false | false | 5,341 | lean | import data.bitvec
def bitvec.singleton (b : bool) : bitvec 1 := vector.cons b vector.nil
@[reducible] def byte := bitvec 8
def byte.to_nat : byte → ℕ := bitvec.to_nat
@[reducible] def short := bitvec 16
@[reducible] def word := bitvec 32
@[reducible] def qword := bitvec 64
def of_bits : list bool → nat
| [] := 0
| (b :: l) := nat.bit b (of_bits l)
inductive split_bits : ℕ → list (Σ n, bitvec n) → Prop
| nil : split_bits 0 []
| zero {b l} : split_bits b l → split_bits b (⟨0, vector.nil⟩ :: l)
| succ {b n l bs} :
split_bits b (⟨n, bs⟩ :: l) →
split_bits (nat.div2 b) (⟨n + 1, vector.cons (nat.bodd b) bs⟩ :: l)
def from_list_byte : list byte → ℕ
| [] := 0
| (b :: l) := b.to_nat + 0x100 * from_list_byte l
inductive bits_to_byte {n} (m) (w : bitvec n) : list byte → Prop
| mk (bs : vector byte m) : split_bits w.to_nat (bs.1.map (λ b, ⟨8, b⟩)) →
bits_to_byte bs.1
def short.to_list_byte : short → list byte → Prop := bits_to_byte 2
def word.to_list_byte : word → list byte → Prop := bits_to_byte 4
def qword.to_list_byte : qword → list byte → Prop := bits_to_byte 8
def EXTS_aux : list bool → bool → ∀ {m}, bitvec m
| [] b m := vector.repeat b _
| (a::l) _ 0 := vector.nil
| (a::l) _ (m+1) := vector.cons a (EXTS_aux l a)
def EXTS {m n} (v : bitvec n) : bitvec m := EXTS_aux v.1 ff
def EXTZ_aux : list bool → ∀ {m}, bitvec m
| [] m := vector.repeat ff _
| (a::l) 0 := vector.nil
| (a::l) (m+1) := vector.cons a (EXTS_aux l a)
def EXTZ {m n} (v : bitvec n) : bitvec m := EXTZ_aux v.1
def bitvec.update0_aux : list bool → ∀ {n}, bitvec n → bitvec n
| [] n v := v
| (a::l) 0 v := v
| (a::l) (n+1) v := vector.cons a (bitvec.update0_aux l v.tail)
def bitvec.update_aux : ℕ → list bool → ∀ {n}, bitvec n → bitvec n
| 0 l n v := bitvec.update0_aux l v
| (m+1) l 0 v := v
| (m+1) l (n+1) v := vector.cons v.head (bitvec.update_aux m l v.tail)
def bitvec.update {m n} (v1 : bitvec n) (index : ℕ) (v2 : bitvec m) : bitvec n :=
bitvec.update_aux index v2.1 v1
class byte_encoder (α : Type*) := (f : α → list byte → Prop)
def encodes {α : Type*} [E : byte_encoder α] : α → list byte → Prop := E.f
def encodes_with {α : Type*} [byte_encoder α]
(a : α) (l1 l2 : list byte) : Prop :=
∃ l, encodes a l ∧ l2 = l ++ l1
def encodes_start {α : Type*} [byte_encoder α]
(a : α) (l : list byte) : Prop :=
∃ l', encodes_with a l' l
inductive encodes_list {α} [byte_encoder α] : list α → list byte → Prop
| nil : encodes_list [] []
| cons {a as l ls} : encodes a l → encodes_list (a :: as) (l ++ ls)
inductive encodes_list_start {α} [byte_encoder α] : list α → list byte → Prop
| nil {l} : encodes_list_start [] l
| cons {a as l ls} : encodes a l → encodes_list_start (a :: as) (l ++ ls)
instance : byte_encoder unit := ⟨λ _ l, l = []⟩
instance : byte_encoder byte := ⟨λ b l, l = [b]⟩
instance : byte_encoder short := ⟨short.to_list_byte⟩
instance : byte_encoder word := ⟨word.to_list_byte⟩
instance : byte_encoder qword := ⟨qword.to_list_byte⟩
instance : byte_encoder (list byte) := ⟨eq⟩
instance {n} : byte_encoder (vector byte n) := ⟨λ x l, x.1 = l⟩
instance {α β} [byte_encoder α] [byte_encoder β] : byte_encoder (α × β) :=
⟨λ ⟨a, b⟩ l, ∃ l1 l2, encodes a l1 ∧ encodes a l2 ∧ l = l1 ++ l2⟩
structure pstate_result (σ α : Type*) :=
(safe : Prop)
(P : α → σ → Prop)
(good : safe → ∃ a s, P a s)
def pstate (σ α : Type*) := σ → pstate_result σ α
inductive pstate_pure_P {σ α : Type*} (a : α) (s : σ) : α → σ → Prop
| mk : pstate_pure_P a s
inductive pstate_map_P {σ α β} (f : α → β) (x : pstate_result σ α) : β → σ → Prop
| mk (a s') : x.P a s' → pstate_map_P (f a) s'
def pstate_bind_safe {σ α β} (x : pstate σ α) (f : α → pstate σ β) (s : σ) : Prop :=
(x s).safe ∧ ∀ a s', (x s).P a s' → (f a s').safe
def pstate_bind_P {σ α β} (x : pstate σ α) (f : α → pstate σ β) (s : σ) (b : β) (s' : σ) : Prop :=
∃ a s1, (x s).P a s1 ∧ (f a s1).P b s'
instance {σ} : monad (pstate σ) :=
{ pure := λ α a s, ⟨true, pstate_pure_P a s, λ _, ⟨_, _, ⟨a, s⟩⟩⟩,
map := λ α β f x s, ⟨(x s).1, pstate_map_P f (x s), λ h,
let ⟨a, s', h⟩ := (x s).good h in ⟨_, _, ⟨_, _, _, h⟩⟩⟩,
bind := λ α β x f s, ⟨pstate_bind_safe x f s, pstate_bind_P x f s,
λ ⟨h₁, h₂⟩, let ⟨a, s1, hx⟩ := (x s).good h₁,
⟨b, s2, hf⟩ := (f a s1).good (h₂ a s1 hx) in
⟨b, s2, ⟨_, _, hx, hf⟩⟩⟩ }
def pstate.lift {σ α} (f : σ → α → σ → Prop) : pstate σ α := λ s, ⟨_, f s, id⟩
inductive pstate.get' {σ} (s : σ) : σ → σ → Prop
| mk : pstate.get' s s
def pstate.get {σ} : pstate σ σ := pstate.lift pstate.get'
def pstate.put {σ} (s : σ) : pstate σ unit := pstate.lift $ λ _ _, eq s
def pstate.assert {σ α} (p : σ → α → Prop) : pstate σ α :=
pstate.lift $ λ s a s', p s a ∧ s = s'
def pstate.modify {σ} (f : σ → σ) : pstate σ unit :=
pstate.lift $ λ s _ s', s' = f s
def pstate.any {σ α} : pstate σ α := pstate.assert $ λ _ _, true
def pstate.fail {σ α} : pstate σ α := pstate.assert $ λ _ _, false
|
f19d9385ee74e72cd15bc286fb9eb18352499ec7 | f3849be5d845a1cb97680f0bbbe03b85518312f0 | /tests/lean/run/imp2.lean | 14b6b0bae35f9c0abf8c72ef7f904894be9fcb94 | [
"Apache-2.0"
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set_option trace.app_builder true
#check (λ {A} (a : A), a) 10
#check (λ a, a) (10:num)
|
1339ed3eb4ac4470653cd99589c0fdc295317233 | 8cae430f0a71442d02dbb1cbb14073b31048e4b0 | /src/measure_theory/integral/periodic.lean | 490cba056c6170b6f22cad964cb004f43ccb06c1 | [
"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 | 18,984 | lean | /-
Copyright (c) 2021 Yury Kudryashov. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yury Kudryashov, Alex Kontorovich, Heather Macbeth
-/
import measure_theory.measure.lebesgue.eq_haar
import measure_theory.measure.haar.quotient
import measure_theory.constructions.polish
import measure_theory.integral.interval_integral
import topology.algebra.order.floor
/-!
# Integrals of periodic functions
> THIS FILE IS SYNCHRONIZED WITH MATHLIB4.
> Any changes to this file require a corresponding PR to mathlib4.
In this file we prove that the half-open interval `Ioc t (t + T)` in `ℝ` is a fundamental domain of
the action of the subgroup `ℤ ∙ T` on `ℝ`.
A consequence is `add_circle.measure_preserving_mk`: the covering map from `ℝ` to the "additive
circle" `ℝ ⧸ (ℤ ∙ T)` is measure-preserving, with respect to the restriction of Lebesgue measure to
`Ioc t (t + T)` (upstairs) and with respect to Haar measure (downstairs).
Another consequence (`function.periodic.interval_integral_add_eq` and related declarations) is that
`∫ x in t..t + T, f x = ∫ x in s..s + T, f x` for any (not necessarily measurable) function with
period `T`.
-/
open set function measure_theory measure_theory.measure topological_space add_subgroup
interval_integral
open_locale measure_theory nnreal ennreal
noncomputable instance add_circle.measurable_space {a : ℝ} : measurable_space (add_circle a) :=
quotient_add_group.measurable_space _
instance add_circle.borel_space {a : ℝ} : borel_space (add_circle a) :=
quotient_add_group.borel_space
@[measurability] protected lemma add_circle.measurable_mk' {a : ℝ} :
measurable (coe : ℝ → add_circle a) :=
continuous.measurable $ add_circle.continuous_mk' a
lemma is_add_fundamental_domain_Ioc {T : ℝ} (hT : 0 < T) (t : ℝ) (μ : measure ℝ . volume_tac) :
is_add_fundamental_domain (add_subgroup.zmultiples T) (Ioc t (t + T)) μ :=
begin
refine is_add_fundamental_domain.mk' measurable_set_Ioc.null_measurable_set (λ x, _),
have : bijective (cod_restrict (λ n : ℤ, n • T) (add_subgroup.zmultiples T) _),
from (equiv.of_injective (λ n : ℤ, n • T) (zsmul_strict_mono_left hT).injective).bijective,
refine this.exists_unique_iff.2 _,
simpa only [add_comm x] using exists_unique_add_zsmul_mem_Ioc hT x t
end
lemma is_add_fundamental_domain_Ioc' {T : ℝ} (hT : 0 < T) (t : ℝ) (μ : measure ℝ . volume_tac) :
is_add_fundamental_domain (add_subgroup.zmultiples T).opposite (Ioc t (t + T)) μ :=
begin
refine is_add_fundamental_domain.mk' measurable_set_Ioc.null_measurable_set (λ x, _),
have : bijective (cod_restrict (λ n : ℤ, n • T) (add_subgroup.zmultiples T) _),
from (equiv.of_injective (λ n : ℤ, n • T) (zsmul_strict_mono_left hT).injective).bijective,
refine this.exists_unique_iff.2 _,
simpa using exists_unique_add_zsmul_mem_Ioc hT x t,
end
namespace add_circle
variables (T : ℝ) [hT : fact (0 < T)]
include hT
/-- Equip the "additive circle" `ℝ ⧸ (ℤ ∙ T)` with, as a standard measure, the Haar measure of total
mass `T` -/
noncomputable instance measure_space : measure_space (add_circle T) :=
{ volume := (ennreal.of_real T) • add_haar_measure ⊤,
.. add_circle.measurable_space }
@[simp] protected lemma measure_univ : volume (set.univ : set (add_circle T)) = ennreal.of_real T :=
begin
dsimp [(volume)],
rw ← positive_compacts.coe_top,
simp [add_haar_measure_self, -positive_compacts.coe_top],
end
instance : is_add_haar_measure (volume : measure (add_circle T)) :=
is_add_haar_measure.smul _ (by simp [hT.out]) ennreal.of_real_ne_top
instance is_finite_measure : is_finite_measure (volume : measure (add_circle T)) :=
{ measure_univ_lt_top := by simp }
/-- The covering map from `ℝ` to the "additive circle" `ℝ ⧸ (ℤ ∙ T)` is measure-preserving,
considered with respect to the standard measure (defined to be the Haar measure of total mass `T`)
on the additive circle, and with respect to the restriction of Lebsegue measure on `ℝ` to an
interval (t, t + T]. -/
protected lemma measure_preserving_mk (t : ℝ) :
measure_preserving (coe : ℝ → add_circle T) (volume.restrict (Ioc t (t + T))) :=
measure_preserving_quotient_add_group.mk'
(is_add_fundamental_domain_Ioc' hT.out t)
(⊤ : positive_compacts (add_circle T))
(by simp)
T.to_nnreal
(by simp [← ennreal.of_real_coe_nnreal, real.coe_to_nnreal T hT.out.le])
lemma volume_closed_ball {x : add_circle T} (ε : ℝ) :
volume (metric.closed_ball x ε) = ennreal.of_real (min T (2 * ε)) :=
begin
have hT' : |T| = T := abs_eq_self.mpr hT.out.le,
let I := Ioc (-(T / 2)) (T / 2),
have h₁ : ε < T/2 → (metric.closed_ball (0 : ℝ) ε) ∩ I = metric.closed_ball (0 : ℝ) ε,
{ intros hε,
rw [inter_eq_left_iff_subset, real.closed_ball_eq_Icc, zero_sub, zero_add],
rintros y ⟨hy₁, hy₂⟩, split; linarith, },
have h₂ : coe⁻¹' metric.closed_ball (0 : add_circle T) ε ∩ I =
if ε < T/2 then metric.closed_ball (0 : ℝ) ε else I,
{ conv_rhs { rw [← if_ctx_congr (iff.rfl : ε < T/2 ↔ ε < T/2) h₁ (λ _, rfl), ← hT'], },
apply coe_real_preimage_closed_ball_inter_eq,
simpa only [hT', real.closed_ball_eq_Icc, zero_add, zero_sub] using Ioc_subset_Icc_self, },
rw add_haar_closed_ball_center,
simp only [restrict_apply' measurable_set_Ioc, (by linarith : -(T/2) + T = T/2), h₂,
← (add_circle.measure_preserving_mk T (-(T/2))).measure_preimage measurable_set_closed_ball],
by_cases hε : ε < T/2,
{ simp [hε, min_eq_right (by linarith : 2 * ε ≤ T)], },
{ simp [hε, min_eq_left (by linarith : T ≤ 2 * ε)], },
end
instance : is_unif_loc_doubling_measure (volume : measure (add_circle T)) :=
begin
refine ⟨⟨real.to_nnreal 2, filter.eventually_of_forall $ λ ε x, _⟩⟩,
simp only [volume_closed_ball],
erw ← ennreal.of_real_mul zero_le_two,
apply ennreal.of_real_le_of_real,
rw mul_min_of_nonneg _ _ (zero_le_two : (0 : ℝ) ≤ 2),
exact min_le_min (by linarith [hT.out]) (le_refl _),
end
/-- The isomorphism `add_circle T ≃ Ioc a (a + T)` whose inverse is the natural quotient map,
as an equivalence of measurable spaces. -/
noncomputable def measurable_equiv_Ioc (a : ℝ) : add_circle T ≃ᵐ Ioc a (a + T) :=
{ measurable_to_fun := measurable_of_measurable_on_compl_singleton _
(continuous_on_iff_continuous_restrict.mp $ continuous_at.continuous_on $
λ x hx, continuous_at_equiv_Ioc T a hx).measurable,
measurable_inv_fun := add_circle.measurable_mk'.comp measurable_subtype_coe,
.. equiv_Ioc T a }
/-- The isomorphism `add_circle T ≃ Ico a (a + T)` whose inverse is the natural quotient map,
as an equivalence of measurable spaces. -/
noncomputable def measurable_equiv_Ico (a : ℝ) : add_circle T ≃ᵐ Ico a (a + T) :=
{ measurable_to_fun := measurable_of_measurable_on_compl_singleton _
(continuous_on_iff_continuous_restrict.mp $ continuous_at.continuous_on $
λ x hx, continuous_at_equiv_Ico T a hx).measurable,
measurable_inv_fun := add_circle.measurable_mk'.comp measurable_subtype_coe,
.. equiv_Ico T a }
/-- The lower integral of a function over `add_circle T` is equal to the lower integral over an
interval (t, t + T] in `ℝ` of its lift to `ℝ`. -/
protected lemma lintegral_preimage (t : ℝ) (f : add_circle T → ℝ≥0∞) :
∫⁻ a in Ioc t (t + T), f a = ∫⁻ b : add_circle T, f b :=
begin
have m : measurable_set (Ioc t (t + T)) := measurable_set_Ioc,
have := lintegral_map_equiv f (measurable_equiv_Ioc T t).symm,
swap, exact volume,
simp only [measurable_equiv_Ioc, equiv_Ioc, quotient_add_group.equiv_Ioc_mod,
measurable_equiv.symm_mk, measurable_equiv.coe_mk, equiv.coe_fn_symm_mk] at this,
rw ←(add_circle.measure_preserving_mk T t).map_eq,
convert this.symm using 1, -- TODO : there is no "set_lintegral_eq_subtype"?
{ rw ←(map_comap_subtype_coe m _),
exact measurable_embedding.lintegral_map (measurable_embedding.subtype_coe m) _, },
{ congr' 1,
have : (coe : Ioc t (t + T) → add_circle T) = (coe : ℝ → add_circle T) ∘ (coe : _ → ℝ),
{ ext1 x, refl, },
simp_rw [this, ←map_map add_circle.measurable_mk' measurable_subtype_coe,
←map_comap_subtype_coe m],
refl, }
end
variables {E : Type*} [normed_add_comm_group E] [normed_space ℝ E] [complete_space E]
/-- The integral of an almost-everywhere strongly measurable function over `add_circle T` is equal
to the integral over an interval (t, t + T] in `ℝ` of its lift to `ℝ`. -/
protected lemma integral_preimage (t : ℝ) (f : add_circle T → E) :
∫ a in Ioc t (t + T), f a = ∫ b : add_circle T, f b :=
begin
have m : measurable_set (Ioc t (t + T)) := measurable_set_Ioc,
have := integral_map_equiv (measurable_equiv_Ioc T t).symm f,
simp only [measurable_equiv_Ioc, equiv_Ioc, quotient_add_group.equiv_Ioc_mod,
measurable_equiv.symm_mk, measurable_equiv.coe_mk, equiv.coe_fn_symm_mk, coe_coe] at this,
rw [←(add_circle.measure_preserving_mk T t).map_eq, set_integral_eq_subtype m, ←this],
have : (coe : Ioc t (t + T) → add_circle T) = (coe : ℝ → add_circle T) ∘ (coe : _ → ℝ),
{ ext1 x, refl, },
simp_rw [this, ←map_map add_circle.measurable_mk' measurable_subtype_coe,
←map_comap_subtype_coe m],
refl,
end
/-- The integral of an almost-everywhere strongly measurable function over `add_circle T` is equal
to the integral over an interval (t, t + T] in `ℝ` of its lift to `ℝ`. -/
protected lemma interval_integral_preimage (t : ℝ) (f : add_circle T → E) :
∫ a in t..(t + T), f a = ∫ b : add_circle T, f b :=
begin
rw [integral_of_le, add_circle.integral_preimage T t f],
linarith [hT.out],
end
end add_circle
namespace unit_add_circle
local attribute [instance] real.fact_zero_lt_one
noncomputable instance measure_space : measure_space unit_add_circle := add_circle.measure_space 1
@[simp] protected lemma measure_univ : volume (set.univ : set unit_add_circle) = 1 := by simp
instance is_finite_measure : is_finite_measure (volume : measure unit_add_circle) :=
add_circle.is_finite_measure 1
/-- The covering map from `ℝ` to the "unit additive circle" `ℝ ⧸ ℤ` is measure-preserving,
considered with respect to the standard measure (defined to be the Haar measure of total mass 1)
on the additive circle, and with respect to the restriction of Lebsegue measure on `ℝ` to an
interval (t, t + 1]. -/
protected lemma measure_preserving_mk (t : ℝ) :
measure_preserving (coe : ℝ → unit_add_circle) (volume.restrict (Ioc t (t + 1))) :=
add_circle.measure_preserving_mk 1 t
/-- The integral of a measurable function over `unit_add_circle` is equal to the integral over an
interval (t, t + 1] in `ℝ` of its lift to `ℝ`. -/
protected lemma lintegral_preimage (t : ℝ) (f : unit_add_circle → ℝ≥0∞) :
∫⁻ a in Ioc t (t + 1), f a = ∫⁻ b : unit_add_circle, f b :=
add_circle.lintegral_preimage 1 t f
variables {E : Type*} [normed_add_comm_group E] [normed_space ℝ E] [complete_space E]
/-- The integral of an almost-everywhere strongly measurable function over `unit_add_circle` is
equal to the integral over an interval (t, t + 1] in `ℝ` of its lift to `ℝ`. -/
protected lemma integral_preimage (t : ℝ) (f : unit_add_circle → E) :
∫ a in Ioc t (t + 1), f a = ∫ b : unit_add_circle, f b :=
add_circle.integral_preimage 1 t f
/-- The integral of an almost-everywhere strongly measurable function over `unit_add_circle` is
equal to the integral over an interval (t, t + 1] in `ℝ` of its lift to `ℝ`. -/
protected lemma interval_integral_preimage (t : ℝ) (f : unit_add_circle → E) :
∫ a in t..(t + 1), f a = ∫ b : unit_add_circle, f b :=
add_circle.interval_integral_preimage 1 t f
end unit_add_circle
variables {E : Type*} [normed_add_comm_group E] [normed_space ℝ E] [complete_space E]
namespace function
namespace periodic
variables {f : ℝ → E} {T : ℝ}
/-- An auxiliary lemma for a more general `function.periodic.interval_integral_add_eq`. -/
lemma interval_integral_add_eq_of_pos (hf : periodic f T)
(hT : 0 < T) (t s : ℝ) : ∫ x in t..t + T, f x = ∫ x in s..s + T, f x :=
begin
simp only [integral_of_le, hT.le, le_add_iff_nonneg_right],
haveI : vadd_invariant_measure (add_subgroup.zmultiples T) ℝ volume :=
⟨λ c s hs, measure_preimage_add _ _ _⟩,
exact (is_add_fundamental_domain_Ioc hT t).set_integral_eq
(is_add_fundamental_domain_Ioc hT s) hf.map_vadd_zmultiples
end
/-- If `f` is a periodic function with period `T`, then its integral over `[t, t + T]` does not
depend on `t`. -/
lemma interval_integral_add_eq (hf : periodic f T)
(t s : ℝ) : ∫ x in t..t + T, f x = ∫ x in s..s + T, f x :=
begin
rcases lt_trichotomy 0 T with (hT|rfl|hT),
{ exact hf.interval_integral_add_eq_of_pos hT t s },
{ simp },
{ rw [← neg_inj, ← integral_symm, ← integral_symm],
simpa only [← sub_eq_add_neg, add_sub_cancel]
using (hf.neg.interval_integral_add_eq_of_pos (neg_pos.2 hT) (t + T) (s + T)) }
end
/-- If `f` is an integrable periodic function with period `T`, then its integral over `[t, s + T]`
is the sum of its integrals over the intervals `[t, s]` and `[t, t + T]`. -/
lemma interval_integral_add_eq_add (hf : periodic f T) (t s : ℝ)
(h_int : ∀ t₁ t₂, interval_integrable f measure_space.volume t₁ t₂) :
∫ x in t..s+T, f x = (∫ x in t..s, f x) + ∫ x in t..t + T, f x :=
by rw [hf.interval_integral_add_eq t s, integral_add_adjacent_intervals (h_int t s) (h_int s _)]
/-- If `f` is an integrable periodic function with period `T`, and `n` is an integer, then its
integral over `[t, t + n • T]` is `n` times its integral over `[t, t + T]`. -/
lemma interval_integral_add_zsmul_eq (hf : periodic f T) (n : ℤ) (t : ℝ)
(h_int : ∀ t₁ t₂, interval_integrable f measure_space.volume t₁ t₂) :
∫ x in t..t + n • T, f x = n • ∫ x in t..t + T, f x :=
begin
-- Reduce to the case `b = 0`
suffices : ∫ x in 0..n • T, f x = n • ∫ x in 0..T, f x,
{ simp only [hf.interval_integral_add_eq t 0, (hf.zsmul n).interval_integral_add_eq t 0, zero_add,
this], },
-- First prove it for natural numbers
have : ∀ (m : ℕ), ∫ x in 0..m • T, f x = m • ∫ x in 0..T, f x,
{ intros,
induction m with m ih,
{ simp, },
{ simp only [succ_nsmul', hf.interval_integral_add_eq_add 0 (m • T) h_int, ih, zero_add], }, },
-- Then prove it for all integers
cases n with n n,
{ simp [← this n], },
{ conv_rhs { rw zsmul_neg_succ_of_nat, },
have h₀ : (int.neg_succ_of_nat n) • T + (n + 1) • T = 0, { simp, linarith, },
rw [integral_symm, ← (hf.nsmul (n+1)).funext, neg_inj],
simp_rw [integral_comp_add_right, h₀, zero_add, this (n+1),
add_comm T, hf.interval_integral_add_eq ((n+1) • T) 0, zero_add], },
end
section real_valued
open filter
variables {g : ℝ → ℝ}
variables (hg : periodic g T) (h_int : ∀ t₁ t₂, interval_integrable g measure_space.volume t₁ t₂)
include hg h_int
/-- If `g : ℝ → ℝ` is periodic with period `T > 0`, then for any `t : ℝ`, the function
`t ↦ ∫ x in 0..t, g x` is bounded below by `t ↦ X + ⌊t/T⌋ • Y` for appropriate constants `X` and
`Y`. -/
lemma Inf_add_zsmul_le_integral_of_pos (hT : 0 < T) (t : ℝ) :
Inf ((λ t, ∫ x in 0..t, g x) '' (Icc 0 T)) + ⌊t/T⌋ • (∫ x in 0..T, g x) ≤ ∫ x in 0..t, g x :=
begin
let ε := int.fract (t/T) * T,
conv_rhs { rw [← int.fract_div_mul_self_add_zsmul_eq T t (by linarith),
← integral_add_adjacent_intervals (h_int 0 ε) (h_int _ _)] },
rw [hg.interval_integral_add_zsmul_eq ⌊t/T⌋ ε h_int, hg.interval_integral_add_eq ε 0, zero_add,
add_le_add_iff_right],
exact (continuous_primitive h_int 0).continuous_on.Inf_image_Icc_le
(mem_Icc_of_Ico (int.fract_div_mul_self_mem_Ico T t hT)),
end
/-- If `g : ℝ → ℝ` is periodic with period `T > 0`, then for any `t : ℝ`, the function
`t ↦ ∫ x in 0..t, g x` is bounded above by `t ↦ X + ⌊t/T⌋ • Y` for appropriate constants `X` and
`Y`. -/
lemma integral_le_Sup_add_zsmul_of_pos (hT : 0 < T) (t : ℝ) :
∫ x in 0..t, g x ≤ Sup ((λ t, ∫ x in 0..t, g x) '' (Icc 0 T)) + ⌊t/T⌋ • (∫ x in 0..T, g x) :=
begin
let ε := int.fract (t/T) * T,
conv_lhs { rw [← int.fract_div_mul_self_add_zsmul_eq T t (by linarith),
← integral_add_adjacent_intervals (h_int 0 ε) (h_int _ _)] },
rw [hg.interval_integral_add_zsmul_eq ⌊t/T⌋ ε h_int, hg.interval_integral_add_eq ε 0, zero_add,
add_le_add_iff_right],
exact (continuous_primitive h_int 0).continuous_on.le_Sup_image_Icc
(mem_Icc_of_Ico (int.fract_div_mul_self_mem_Ico T t hT)),
end
/-- If `g : ℝ → ℝ` is periodic with period `T > 0` and `0 < ∫ x in 0..T, g x`, then
`t ↦ ∫ x in 0..t, g x` tends to `∞` as `t` tends to `∞`. -/
lemma tendsto_at_top_interval_integral_of_pos (h₀ : 0 < ∫ x in 0..T, g x) (hT : 0 < T) :
tendsto (λ t, ∫ x in 0..t, g x) at_top at_top :=
begin
apply tendsto_at_top_mono (hg.Inf_add_zsmul_le_integral_of_pos h_int hT),
apply at_top.tendsto_at_top_add_const_left (Inf $ (λ t, ∫ x in 0..t, g x) '' (Icc 0 T)),
apply tendsto.at_top_zsmul_const h₀,
exact tendsto_floor_at_top.comp (tendsto_id.at_top_mul_const (inv_pos.mpr hT)),
end
/-- If `g : ℝ → ℝ` is periodic with period `T > 0` and `0 < ∫ x in 0..T, g x`, then
`t ↦ ∫ x in 0..t, g x` tends to `-∞` as `t` tends to `-∞`. -/
lemma tendsto_at_bot_interval_integral_of_pos (h₀ : 0 < ∫ x in 0..T, g x) (hT : 0 < T) :
tendsto (λ t, ∫ x in 0..t, g x) at_bot at_bot :=
begin
apply tendsto_at_bot_mono (hg.integral_le_Sup_add_zsmul_of_pos h_int hT),
apply at_bot.tendsto_at_bot_add_const_left (Sup $ (λ t, ∫ x in 0..t, g x) '' (Icc 0 T)),
apply tendsto.at_bot_zsmul_const h₀,
exact tendsto_floor_at_bot.comp (tendsto_id.at_bot_mul_const (inv_pos.mpr hT)),
end
/-- If `g : ℝ → ℝ` is periodic with period `T > 0` and `∀ x, 0 < g x`, then `t ↦ ∫ x in 0..t, g x`
tends to `∞` as `t` tends to `∞`. -/
lemma tendsto_at_top_interval_integral_of_pos' (h₀ : ∀ x, 0 < g x) (hT : 0 < T) :
tendsto (λ t, ∫ x in 0..t, g x) at_top at_top :=
hg.tendsto_at_top_interval_integral_of_pos h_int (interval_integral_pos_of_pos (h_int 0 T) h₀ hT) hT
/-- If `g : ℝ → ℝ` is periodic with period `T > 0` and `∀ x, 0 < g x`, then `t ↦ ∫ x in 0..t, g x`
tends to `-∞` as `t` tends to `-∞`. -/
lemma tendsto_at_bot_interval_integral_of_pos' (h₀ : ∀ x, 0 < g x) (hT : 0 < T) :
tendsto (λ t, ∫ x in 0..t, g x) at_bot at_bot :=
hg.tendsto_at_bot_interval_integral_of_pos h_int (interval_integral_pos_of_pos (h_int 0 T) h₀ hT) hT
end real_valued
end periodic
end function
|
b0284cbc7275564270d8f5ff31454e3d72b7b3dc | 66a6486e19b71391cc438afee5f081a4257564ec | /algebra/free_group.hlean | e8f53c07c594ed43f9e6c8ce6d5bb8b0a1168d0c | [
"Apache-2.0"
] | permissive | spiceghello/Spectral | c8ccd1e32d4b6a9132ccee20fcba44b477cd0331 | 20023aa3de27c22ab9f9b4a177f5a1efdec2b19f | refs/heads/master | 1,611,263,374,078 | 1,523,349,717,000 | 1,523,349,717,000 | 92,312,239 | 0 | 0 | null | 1,495,642,470,000 | 1,495,642,470,000 | null | UTF-8 | Lean | false | false | 6,836 | hlean | /-
Copyright (c) 2015 Floris van Doorn. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Floris van Doorn, Egbert Rijke
Constructions with groups
-/
import algebra.group_theory hit.set_quotient types.list types.sum
open eq algebra is_trunc set_quotient relation sigma sigma.ops prod sum list trunc function equiv
namespace group
variables {G G' : Group} {g g' h h' k : G} {A B : AbGroup}
/- Free Group of a set -/
variables (X : Type) [is_set X] {l l' : list (X ⊎ X)}
namespace free_group
inductive free_group_rel : list (X ⊎ X) → list (X ⊎ X) → Type :=
| rrefl : Πl, free_group_rel l l
| cancel1 : Πx, free_group_rel [inl x, inr x] []
| cancel2 : Πx, free_group_rel [inr x, inl x] []
| resp_append : Π{l₁ l₂ l₃ l₄}, free_group_rel l₁ l₂ → free_group_rel l₃ l₄ →
free_group_rel (l₁ ++ l₃) (l₂ ++ l₄)
| rtrans : Π{l₁ l₂ l₃}, free_group_rel l₁ l₂ → free_group_rel l₂ l₃ →
free_group_rel l₁ l₃
open free_group_rel
local abbreviation R [reducible] := free_group_rel
attribute free_group_rel.rrefl [refl]
definition free_group_carrier [reducible] : Type := set_quotient (λx y, ∥R X x y∥)
local abbreviation FG := free_group_carrier
definition is_reflexive_R : is_reflexive (λx y, ∥R X x y∥) :=
begin constructor, intro s, apply tr, unfold R end
local attribute is_reflexive_R [instance]
variable {X}
theorem rel_respect_flip (r : R X l l') : R X (map sum.flip l) (map sum.flip l') :=
begin
induction r with l x x l₁ l₂ l₃ l₄ r₁ r₂ IH₁ IH₂ l₁ l₂ l₃ r₁ r₂ IH₁ IH₂,
{ reflexivity},
{ repeat esimp [map], exact cancel2 x},
{ repeat esimp [map], exact cancel1 x},
{ rewrite [+map_append], exact resp_append IH₁ IH₂},
{ exact rtrans IH₁ IH₂}
end
theorem rel_respect_reverse (r : R X l l') : R X (reverse l) (reverse l') :=
begin
induction r with l x x l₁ l₂ l₃ l₄ r₁ r₂ IH₁ IH₂ l₁ l₂ l₃ r₁ r₂ IH₁ IH₂,
{ reflexivity},
{ repeat esimp [map], exact cancel2 x},
{ repeat esimp [map], exact cancel1 x},
{ rewrite [+reverse_append], exact resp_append IH₂ IH₁},
{ exact rtrans IH₁ IH₂}
end
definition free_group_one [constructor] : FG X := class_of []
definition free_group_inv [unfold 3] : FG X → FG X :=
quotient_unary_map (reverse ∘ map sum.flip)
(λl l', trunc_functor -1 (rel_respect_reverse ∘ rel_respect_flip))
definition free_group_mul [unfold 3 4] : FG X → FG X → FG X :=
quotient_binary_map append (λl l', trunc.elim (λr m m', trunc.elim (λs, tr (resp_append r s))))
section
local notation 1 := free_group_one
local postfix ⁻¹ := free_group_inv
local infix * := free_group_mul
theorem free_group_mul_assoc (g₁ g₂ g₃ : FG X) : g₁ * g₂ * g₃ = g₁ * (g₂ * g₃) :=
begin
refine set_quotient.rec_prop _ g₁,
refine set_quotient.rec_prop _ g₂,
refine set_quotient.rec_prop _ g₃,
clear g₁ g₂ g₃, intro g₁ g₂ g₃,
exact ap class_of !append.assoc
end
theorem free_group_one_mul (g : FG X) : 1 * g = g :=
begin
refine set_quotient.rec_prop _ g, clear g, intro g,
exact ap class_of !append_nil_left
end
theorem free_group_mul_one (g : FG X) : g * 1 = g :=
begin
refine set_quotient.rec_prop _ g, clear g, intro g,
exact ap class_of !append_nil_right
end
theorem free_group_mul_left_inv (g : FG X) : g⁻¹ * g = 1 :=
begin
refine set_quotient.rec_prop _ g, clear g, intro g,
apply eq_of_rel, apply tr,
induction g with s l IH,
{ reflexivity},
{ rewrite [▸*, map_cons, reverse_cons, concat_append],
refine rtrans _ IH,
apply resp_append, reflexivity,
change R X ([flip s, s] ++ l) ([] ++ l),
apply resp_append,
induction s, apply cancel2, apply cancel1,
reflexivity}
end
end
end free_group open free_group
-- export [reduce_hints] free_group
variables (X)
definition group_free_group [constructor] : group (free_group_carrier X) :=
group.mk _ free_group_mul free_group_mul_assoc free_group_one free_group_one_mul
free_group_mul_one free_group_inv free_group_mul_left_inv
definition free_group [constructor] : Group :=
Group.mk _ (group_free_group X)
/- The universal property of the free group -/
variables {X G}
definition free_group_inclusion [constructor] (x : X) : free_group X :=
class_of [inl x]
definition fgh_helper [unfold 6] (f : X → G) (g : G) (x : X + X) : G :=
g * sum.rec (λx, f x) (λx, (f x)⁻¹) x
theorem fgh_helper_respect_rel (f : X → G) (r : free_group_rel X l l')
: Π(g : G), foldl (fgh_helper f) g l = foldl (fgh_helper f) g l' :=
begin
induction r with l x x l₁ l₂ l₃ l₄ r₁ r₂ IH₁ IH₂ l₁ l₂ l₃ r₁ r₂ IH₁ IH₂: intro g,
{ reflexivity},
{ unfold [foldl], apply mul_inv_cancel_right},
{ unfold [foldl], apply inv_mul_cancel_right},
{ rewrite [+foldl_append, IH₁, IH₂]},
{ exact !IH₁ ⬝ !IH₂}
end
theorem fgh_helper_mul (f : X → G) (l)
: Π(g : G), foldl (fgh_helper f) g l = g * foldl (fgh_helper f) 1 l :=
begin
induction l with s l IH: intro g,
{ unfold [foldl], exact !mul_one⁻¹},
{ rewrite [+foldl_cons, IH], refine _ ⬝ (ap (λx, g * x) !IH⁻¹),
rewrite [-mul.assoc, ↑fgh_helper, one_mul]}
end
definition free_group_hom [constructor] (f : X → G) : free_group X →g G :=
begin
fapply homomorphism.mk,
{ intro g, refine set_quotient.elim _ _ g,
{ intro l, exact foldl (fgh_helper f) 1 l},
{ intro l l' r, esimp at *, refine trunc.rec _ r, clear r, intro r,
exact fgh_helper_respect_rel f r 1}},
{ refine set_quotient.rec_prop _, intro l, refine set_quotient.rec_prop _, intro l',
esimp, refine !foldl_append ⬝ _, esimp, apply fgh_helper_mul}
end
definition fn_of_free_group_hom [unfold_full] (φ : free_group X →g G) : X → G :=
φ ∘ free_group_inclusion
variables (X G)
definition free_group_hom_equiv_fn : (free_group X →g G) ≃ (X → G) :=
begin
fapply equiv.MK,
{ exact fn_of_free_group_hom},
{ exact free_group_hom},
{ intro f, apply eq_of_homotopy, intro x, esimp, unfold [foldl], apply one_mul},
{ intro φ, apply homomorphism_eq, refine set_quotient.rec_prop _, intro l, esimp,
induction l with s l IH,
{ esimp [foldl], exact (respect_one φ)⁻¹},
{ rewrite [foldl_cons, fgh_helper_mul],
refine _ ⬝ (respect_mul φ (class_of [s]) (class_of l))⁻¹,
rewrite [IH], induction s: rewrite [▸*, one_mul], rewrite [-respect_inv φ]}}
end
end group
|
ec06b4889c6e318d3e23231dd354da3b66d21582 | 9dc8cecdf3c4634764a18254e94d43da07142918 | /src/data/quot.lean | 3c164299526da153aea7a1918136b32bf29e78ef | [
"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 | 27,758 | lean | /-
Copyright (c) 2017 Johannes Hölzl. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Johannes Hölzl
-/
import logic.relator
/-!
# Quotient types
This module extends the core library's treatment of quotient types (`init.data.quot`).
## Tags
quotient
-/
variables {α : Sort*} {β : Sort*}
namespace setoid
lemma ext {α : Sort*} :
∀{s t : setoid α}, (∀a b, @setoid.r α s a b ↔ @setoid.r α t a b) → s = t
| ⟨r, _⟩ ⟨p, _⟩ eq :=
have r = p, from funext $ assume a, funext $ assume b, propext $ eq a b,
by subst this
end setoid
namespace quot
variables {ra : α → α → Prop} {rb : β → β → Prop} {φ : quot ra → quot rb → Sort*}
local notation (name := mk) `⟦`:max a `⟧` := quot.mk _ a
instance (r : α → α → Prop) [inhabited α] : inhabited (quot r) := ⟨⟦default⟧⟩
instance [subsingleton α] : subsingleton (quot ra) :=
⟨λ x, quot.induction_on x (λ y, quot.ind (λ b, congr_arg _ (subsingleton.elim _ _)))⟩
/-- Recursion on two `quotient` arguments `a` and `b`, result type depends on `⟦a⟧` and `⟦b⟧`. -/
protected def hrec_on₂ (qa : quot ra) (qb : quot rb) (f : Π a b, φ ⟦a⟧ ⟦b⟧)
(ca : ∀ {b a₁ a₂}, ra a₁ a₂ → f a₁ b == f a₂ b)
(cb : ∀ {a b₁ b₂}, rb b₁ b₂ → f a b₁ == f a b₂) : φ qa qb :=
quot.hrec_on qa (λ a, quot.hrec_on qb (f a) (λ b₁ b₂ pb, cb pb)) $ λ a₁ a₂ pa,
quot.induction_on qb $ λ b,
calc @quot.hrec_on _ _ (φ _) ⟦b⟧ (f a₁) (@cb _)
== f a₁ b : by simp [heq_self_iff_true]
... == f a₂ b : ca pa
... == @quot.hrec_on _ _ (φ _) ⟦b⟧ (f a₂) (@cb _) : by simp [heq_self_iff_true]
/-- Map a function `f : α → β` such that `ra x y` implies `rb (f x) (f y)`
to a map `quot ra → quot rb`. -/
protected def map (f : α → β) (h : (ra ⇒ rb) f f) : quot ra → quot rb :=
quot.lift (λ x, ⟦f x⟧) $ assume x y (h₁ : ra x y), quot.sound $ h h₁
/-- If `ra` is a subrelation of `ra'`, then we have a natural map `quot ra → quot ra'`. -/
protected def map_right {ra' : α → α → Prop} (h : ∀a₁ a₂, ra a₁ a₂ → ra' a₁ a₂) :
quot ra → quot ra' :=
quot.map id h
/-- Weaken the relation of a quotient. This is the same as `quot.map id`. -/
def factor {α : Type*} (r s : α → α → Prop) (h : ∀ x y, r x y → s x y) :
quot r → quot s :=
quot.lift (quot.mk s) (λ x y rxy, quot.sound (h x y rxy))
lemma factor_mk_eq {α : Type*} (r s : α → α → Prop) (h : ∀ x y, r x y → s x y) :
factor r s h ∘ quot.mk _ = quot.mk _ := rfl
variables {γ : Sort*} {r : α → α → Prop} {s : β → β → Prop}
/-- **Alias** of `quot.lift_beta`. -/
lemma lift_mk (f : α → γ) (h : ∀ a₁ a₂, r a₁ a₂ → f a₁ = f a₂) (a : α) :
quot.lift f h (quot.mk r a) = f a := quot.lift_beta f h a
@[simp]
lemma lift_on_mk (a : α) (f : α → γ) (h : ∀ a₁ a₂, r a₁ a₂ → f a₁ = f a₂) :
quot.lift_on (quot.mk r a) f h = f a := rfl
/-- Descends a function `f : α → β → γ` to quotients of `α` and `β`. -/
attribute [reducible, elab_as_eliminator]
protected def lift₂
(f : α → β → γ)
(hr : ∀ a b₁ b₂, s b₁ b₂ → f a b₁ = f a b₂)
(hs : ∀ a₁ a₂ b, r a₁ a₂ → f a₁ b = f a₂ b)
(q₁ : quot r) (q₂ : quot s) : γ :=
quot.lift (λ a, quot.lift (f a) (hr a))
(λ a₁ a₂ ha, funext (λ q, quot.induction_on q (λ b, hs a₁ a₂ b ha)))
q₁ q₂
@[simp]
lemma lift₂_mk (f : α → β → γ)
(hr : ∀ a b₁ b₂, s b₁ b₂ → f a b₁ = f a b₂)
(hs : ∀ a₁ a₂ b, r a₁ a₂ → f a₁ b = f a₂ b) (a : α) (b : β) :
quot.lift₂ f hr hs (quot.mk r a) (quot.mk s b) = f a b := rfl
/-- Descends a function `f : α → β → γ` to quotients of `α` and `β` and applies it. -/
attribute [reducible, elab_as_eliminator]
protected def lift_on₂ (p : quot r) (q : quot s) (f : α → β → γ)
(hr : ∀ a b₁ b₂, s b₁ b₂ → f a b₁ = f a b₂)
(hs : ∀ a₁ a₂ b, r a₁ a₂ → f a₁ b = f a₂ b) : γ := quot.lift₂ f hr hs p q
@[simp]
lemma lift_on₂_mk (a : α) (b : β) (f : α → β → γ)
(hr : ∀ a b₁ b₂, s b₁ b₂ → f a b₁ = f a b₂)
(hs : ∀ a₁ a₂ b, r a₁ a₂ → f a₁ b = f a₂ b) :
quot.lift_on₂ (quot.mk r a) (quot.mk s b) f hr hs = f a b := rfl
variables {t : γ → γ → Prop}
/-- Descends a function `f : α → β → γ` to quotients of `α` and `β` wih values in a quotient of
`γ`. -/
protected def map₂ (f : α → β → γ)
(hr : ∀ a b₁ b₂, s b₁ b₂ → t (f a b₁) (f a b₂))
(hs : ∀ a₁ a₂ b, r a₁ a₂ → t (f a₁ b) (f a₂ b))
(q₁ : quot r) (q₂ : quot s) : quot t :=
quot.lift₂ (λ a b, quot.mk t $ f a b) (λ a b₁ b₂ hb, quot.sound (hr a b₁ b₂ hb))
(λ a₁ a₂ b ha, quot.sound (hs a₁ a₂ b ha)) q₁ q₂
@[simp]
lemma map₂_mk (f : α → β → γ)
(hr : ∀ a b₁ b₂, s b₁ b₂ → t (f a b₁) (f a b₂))
(hs : ∀ a₁ a₂ b, r a₁ a₂ → t (f a₁ b) (f a₂ b))
(a : α) (b : β) : quot.map₂ f hr hs (quot.mk r a) (quot.mk s b) = quot.mk t (f a b) := rfl
/-- A binary version of `quot.rec_on_subsingleton`. -/
@[reducible, elab_as_eliminator]
protected def rec_on_subsingleton₂ {φ : quot r → quot s → Sort*}
[h : ∀ a b, subsingleton (φ ⟦a⟧ ⟦b⟧)] (q₁ : quot r) (q₂ : quot s) (f : Π a b, φ ⟦a⟧ ⟦b⟧) :
φ q₁ q₂ :=
@quot.rec_on_subsingleton _ r (λ q, φ q q₂) (λ a, quot.ind (h a) q₂) q₁ $
λ a, quot.rec_on_subsingleton q₂ $ λ b, f a b
attribute [elab_as_eliminator]
protected lemma induction_on₂
{δ : quot r → quot s → Prop} (q₁ : quot r) (q₂ : quot s)
(h : ∀ a b, δ (quot.mk r a) (quot.mk s b)) : δ q₁ q₂ :=
quot.ind (λ a₁, quot.ind (λ a₂, h a₁ a₂) q₂) q₁
attribute [elab_as_eliminator]
protected lemma induction_on₃
{δ : quot r → quot s → quot t → Prop} (q₁ : quot r) (q₂ : quot s) (q₃ : quot t)
(h : ∀ a b c, δ (quot.mk r a) (quot.mk s b) (quot.mk t c)) : δ q₁ q₂ q₃ :=
quot.ind (λ a₁, quot.ind (λ a₂, quot.ind (λ a₃, h a₁ a₂ a₃) q₃) q₂) q₁
instance (r : α → α → Prop) (f : α → Prop) (h : ∀ a b, r a b → f a = f b) [hf : decidable_pred f] :
decidable_pred (quot.lift f h) :=
λ q, quot.rec_on_subsingleton q hf
/-- Note that this provides `decidable_rel (quot.lift₂ f ha hb)` when `α = β`. -/
instance (r : α → α → Prop) (s : β → β → Prop) (f : α → β → Prop)
(ha : ∀ a b₁ b₂, s b₁ b₂ → f a b₁ = f a b₂) (hb : ∀ a₁ a₂ b, r a₁ a₂ → f a₁ b = f a₂ b)
[hf : Π a, decidable_pred (f a)] (q₁ : quot r) :
decidable_pred (quot.lift₂ f ha hb q₁) :=
λ q₂, quot.rec_on_subsingleton₂ q₁ q₂ hf
instance (r : α → α → Prop) (q : quot r) (f : α → Prop) (h : ∀ a b, r a b → f a = f b)
[decidable_pred f] :
decidable (quot.lift_on q f h) :=
quot.lift.decidable_pred _ _ _ _
instance (r : α → α → Prop) (s : β → β → Prop) (q₁ : quot r) (q₂ : quot s) (f : α → β → Prop)
(ha : ∀ a b₁ b₂, s b₁ b₂ → f a b₁ = f a b₂) (hb : ∀ a₁ a₂ b, r a₁ a₂ → f a₁ b = f a₂ b)
[Π a, decidable_pred (f a)] :
decidable (quot.lift_on₂ q₁ q₂ f ha hb) :=
quot.lift₂.decidable_pred _ _ _ _ _ _ _
end quot
namespace quotient
variables [sa : setoid α] [sb : setoid β]
variables {φ : quotient sa → quotient sb → Sort*}
instance (s : setoid α) [inhabited α] : inhabited (quotient s) := ⟨⟦default⟧⟩
instance (s : setoid α) [subsingleton α] : subsingleton (quotient s) :=
quot.subsingleton
instance {α : Type*} [setoid α] : is_equiv α (≈) :=
{ refl := setoid.refl,
symm := λ a b, setoid.symm,
trans := λ a b c, setoid.trans }
/-- Induction on two `quotient` arguments `a` and `b`, result type depends on `⟦a⟧` and `⟦b⟧`. -/
protected def hrec_on₂ (qa : quotient sa) (qb : quotient sb) (f : Π a b, φ ⟦a⟧ ⟦b⟧)
(c : ∀ a₁ b₁ a₂ b₂, a₁ ≈ a₂ → b₁ ≈ b₂ → f a₁ b₁ == f a₂ b₂) : φ qa qb :=
quot.hrec_on₂ qa qb f
(λ _ _ _ p, c _ _ _ _ p (setoid.refl _))
(λ _ _ _ p, c _ _ _ _ (setoid.refl _) p)
/-- Map a function `f : α → β` that sends equivalent elements to equivalent elements
to a function `quotient sa → quotient sb`. Useful to define unary operations on quotients. -/
protected def map (f : α → β) (h : ((≈) ⇒ (≈)) f f) : quotient sa → quotient sb :=
quot.map f h
@[simp] lemma map_mk (f : α → β) (h : ((≈) ⇒ (≈)) f f) (x : α) :
quotient.map f h (⟦x⟧ : quotient sa) = (⟦f x⟧ : quotient sb) :=
rfl
variables {γ : Sort*} [sc : setoid γ]
/-- Map a function `f : α → β → γ` that sends equivalent elements to equivalent elements
to a function `f : quotient sa → quotient sb → quotient sc`.
Useful to define binary operations on quotients. -/
protected def map₂ (f : α → β → γ) (h : ((≈) ⇒ (≈) ⇒ (≈)) f f) :
quotient sa → quotient sb → quotient sc :=
quotient.lift₂ (λ x y, ⟦f x y⟧) (λ x₁ y₁ x₂ y₂ h₁ h₂, quot.sound $ h h₁ h₂)
@[simp] lemma map₂_mk (f : α → β → γ) (h : ((≈) ⇒ (≈) ⇒ (≈)) f f) (x : α) (y : β) :
quotient.map₂ f h (⟦x⟧ : quotient sa) (⟦y⟧ : quotient sb) = (⟦f x y⟧ : quotient sc) := rfl
include sa
instance (f : α → Prop) (h : ∀ a b, a ≈ b → f a = f b) [decidable_pred f] :
decidable_pred (quotient.lift f h) :=
quot.lift.decidable_pred _ _ _
include sb
/-- Note that this provides `decidable_rel (quotient.lift₂ f h)` when `α = β`. -/
instance (f : α → β → Prop) (h : ∀ a₁ b₁ a₂ b₂, a₁ ≈ a₂ → b₁ ≈ b₂ → f a₁ b₁ = f a₂ b₂)
[hf : Π a, decidable_pred (f a)] (q₁ : quotient sa) :
decidable_pred (quotient.lift₂ f h q₁) :=
λ q₂, quotient.rec_on_subsingleton₂ q₁ q₂ hf
omit sb
instance (q : quotient sa) (f : α → Prop) (h : ∀ a b, a ≈ b → f a = f b) [decidable_pred f] :
decidable (quotient.lift_on q f h) :=
quotient.lift.decidable_pred _ _ _
instance (q₁ : quotient sa) (q₂ : quotient sb) (f : α → β → Prop)
(h : ∀ a₁ b₁ a₂ b₂, a₁ ≈ a₂ → b₁ ≈ b₂ → f a₁ b₁ = f a₂ b₂) [Π a, decidable_pred (f a)] :
decidable (quotient.lift_on₂ q₁ q₂ f h) :=
quotient.lift₂.decidable_pred _ _ _ _
end quotient
lemma quot.eq {α : Type*} {r : α → α → Prop} {x y : α} :
quot.mk r x = quot.mk r y ↔ eqv_gen r x y :=
⟨quot.exact r, quot.eqv_gen_sound⟩
@[simp] theorem quotient.eq [r : setoid α] {x y : α} : ⟦x⟧ = ⟦y⟧ ↔ x ≈ y :=
⟨quotient.exact, quotient.sound⟩
theorem forall_quotient_iff {α : Type*} [r : setoid α] {p : quotient r → Prop} :
(∀a:quotient r, p a) ↔ (∀a:α, p ⟦a⟧) :=
⟨assume h x, h _, assume h a, a.induction_on h⟩
@[simp] lemma quotient.lift_mk [s : setoid α] (f : α → β) (h : ∀ (a b : α), a ≈ b → f a = f b)
(x : α) :
quotient.lift f h (quotient.mk x) = f x := rfl
@[simp] lemma quotient.lift_comp_mk [setoid α] (f : α → β) (h : ∀ (a b : α), a ≈ b → f a = f b) :
quotient.lift f h ∘ quotient.mk = f :=
rfl
@[simp] lemma quotient.lift₂_mk {α : Sort*} {β : Sort*} {γ : Sort*} [setoid α] [setoid β]
(f : α → β → γ)
(h : ∀ (a₁ : α) (a₂ : β) (b₁ : α) (b₂ : β), a₁ ≈ b₁ → a₂ ≈ b₂ → f a₁ a₂ = f b₁ b₂)
(a : α) (b : β) :
quotient.lift₂ f h (quotient.mk a) (quotient.mk b) = f a b := rfl
@[simp] lemma quotient.lift_on_mk [s : setoid α] (f : α → β) (h : ∀ (a b : α), a ≈ b → f a = f b)
(x : α) :
quotient.lift_on (quotient.mk x) f h = f x := rfl
@[simp] theorem quotient.lift_on₂_mk {α : Sort*} {β : Sort*} [setoid α] (f : α → α → β)
(h : ∀ (a₁ a₂ b₁ b₂ : α), a₁ ≈ b₁ → a₂ ≈ b₂ → f a₁ a₂ = f b₁ b₂) (x y : α) :
quotient.lift_on₂ (quotient.mk x) (quotient.mk y) f h = f x y := rfl
/-- `quot.mk r` is a surjective function. -/
lemma surjective_quot_mk (r : α → α → Prop) : function.surjective (quot.mk r) :=
quot.exists_rep
/-- `quotient.mk` is a surjective function. -/
lemma surjective_quotient_mk (α : Sort*) [s : setoid α] :
function.surjective (quotient.mk : α → quotient s) :=
quot.exists_rep
/-- Choose an element of the equivalence class using the axiom of choice.
Sound but noncomputable. -/
noncomputable def quot.out {r : α → α → Prop} (q : quot r) : α :=
classical.some (quot.exists_rep q)
/-- Unwrap the VM representation of a quotient to obtain an element of the equivalence class.
Computable but unsound. -/
meta def quot.unquot {r : α → α → Prop} : quot r → α := unchecked_cast
@[simp] theorem quot.out_eq {r : α → α → Prop} (q : quot r) : quot.mk r q.out = q :=
classical.some_spec (quot.exists_rep q)
/-- Choose an element of the equivalence class using the axiom of choice.
Sound but noncomputable. -/
noncomputable def quotient.out [s : setoid α] : quotient s → α := quot.out
@[simp] theorem quotient.out_eq [s : setoid α] (q : quotient s) : ⟦q.out⟧ = q := q.out_eq
theorem quotient.mk_out [s : setoid α] (a : α) : ⟦a⟧.out ≈ a :=
quotient.exact (quotient.out_eq _)
lemma quotient.mk_eq_iff_out [s : setoid α] {x : α} {y : quotient s} :
⟦x⟧ = y ↔ x ≈ quotient.out y :=
begin
refine iff.trans _ quotient.eq,
rw quotient.out_eq y,
end
lemma quotient.eq_mk_iff_out [s : setoid α] {x : quotient s} {y : α} :
x = ⟦y⟧ ↔ quotient.out x ≈ y :=
begin
refine iff.trans _ quotient.eq,
rw quotient.out_eq x,
end
@[simp] lemma quotient.out_equiv_out {s : setoid α} {x y : quotient s} :
x.out ≈ y.out ↔ x = y :=
by rw [← quotient.eq_mk_iff_out, quotient.out_eq]
lemma quotient.out_injective {s : setoid α} : function.injective (@quotient.out α s) :=
λ a b h, quotient.out_equiv_out.1 $ h ▸ setoid.refl _
@[simp] lemma quotient.out_inj {s : setoid α} {x y : quotient s} :
x.out = y.out ↔ x = y :=
⟨λ h, quotient.out_injective h, λ h, h ▸ rfl⟩
section pi
instance pi_setoid {ι : Sort*} {α : ι → Sort*} [∀ i, setoid (α i)] : setoid (Π i, α i) :=
{ r := λ a b, ∀ i, a i ≈ b i,
iseqv := ⟨
λ a i, setoid.refl _,
λ a b h i, setoid.symm (h _),
λ a b c h₁ h₂ i, setoid.trans (h₁ _) (h₂ _)⟩ }
/-- Given a function `f : Π i, quotient (S i)`, returns the class of functions `Π i, α i` sending
each `i` to an element of the class `f i`. -/
noncomputable def quotient.choice {ι : Type*} {α : ι → Type*} [S : Π i, setoid (α i)]
(f : Π i, quotient (S i)) : @quotient (Π i, α i) (by apply_instance) :=
⟦λ i, (f i).out⟧
@[simp] theorem quotient.choice_eq {ι : Type*} {α : ι → Type*} [Π i, setoid (α i)]
(f : Π i, α i) : quotient.choice (λ i, ⟦f i⟧) = ⟦f⟧ :=
quotient.sound $ λ i, quotient.mk_out _
@[elab_as_eliminator] lemma quotient.induction_on_pi
{ι : Type*} {α : ι → Sort*} [s : ∀ i, setoid (α i)]
{p : (Π i, quotient (s i)) → Prop} (f : Π i, quotient (s i))
(h : ∀ a : Π i, α i, p (λ i, ⟦a i⟧)) : p f :=
begin
rw ← (funext (λ i, quotient.out_eq (f i)) : (λ i, ⟦(f i).out⟧) = f),
apply h,
end
end pi
lemma nonempty_quotient_iff (s : setoid α) : nonempty (quotient s) ↔ nonempty α :=
⟨assume ⟨a⟩, quotient.induction_on a nonempty.intro, assume ⟨a⟩, ⟨⟦a⟧⟩⟩
/-! ### Truncation -/
/-- `trunc α` is the quotient of `α` by the always-true relation. This
is related to the propositional truncation in HoTT, and is similar
in effect to `nonempty α`, but unlike `nonempty α`, `trunc α` is data,
so the VM representation is the same as `α`, and so this can be used to
maintain computability. -/
def {u} trunc (α : Sort u) : Sort u := @quot α (λ _ _, true)
theorem true_equivalence : @equivalence α (λ _ _, true) :=
⟨λ _, trivial, λ _ _ _, trivial, λ _ _ _ _ _, trivial⟩
namespace trunc
/-- Constructor for `trunc α` -/
def mk (a : α) : trunc α := quot.mk _ a
instance [inhabited α] : inhabited (trunc α) := ⟨mk default⟩
/-- Any constant function lifts to a function out of the truncation -/
def lift (f : α → β) (c : ∀ a b : α, f a = f b) : trunc α → β :=
quot.lift f (λ a b _, c a b)
theorem ind {β : trunc α → Prop} : (∀ a : α, β (mk a)) → ∀ q : trunc α, β q := quot.ind
protected theorem lift_mk (f : α → β) (c) (a : α) : lift f c (mk a) = f a := rfl
/-- Lift a constant function on `q : trunc α`. -/
@[reducible, elab_as_eliminator]
protected def lift_on (q : trunc α) (f : α → β)
(c : ∀ a b : α, f a = f b) : β := lift f c q
@[elab_as_eliminator]
protected theorem induction_on {β : trunc α → Prop} (q : trunc α)
(h : ∀ a, β (mk a)) : β q := ind h q
theorem exists_rep (q : trunc α) : ∃ a : α, mk a = q := quot.exists_rep q
attribute [elab_as_eliminator]
protected theorem induction_on₂ {C : trunc α → trunc β → Prop} (q₁ : trunc α) (q₂ : trunc β)
(h : ∀ a b, C (mk a) (mk b)) : C q₁ q₂ :=
trunc.induction_on q₁ $ λ a₁, trunc.induction_on q₂ (h a₁)
protected theorem eq (a b : trunc α) : a = b :=
trunc.induction_on₂ a b (λ x y, quot.sound trivial)
instance : subsingleton (trunc α) := ⟨trunc.eq⟩
/-- The `bind` operator for the `trunc` monad. -/
def bind (q : trunc α) (f : α → trunc β) : trunc β :=
trunc.lift_on q f (λ a b, trunc.eq _ _)
/-- A function `f : α → β` defines a function `map f : trunc α → trunc β`. -/
def map (f : α → β) (q : trunc α) : trunc β := bind q (trunc.mk ∘ f)
instance : monad trunc :=
{ pure := @trunc.mk,
bind := @trunc.bind }
instance : is_lawful_monad trunc :=
{ id_map := λ α q, trunc.eq _ _,
pure_bind := λ α β q f, rfl,
bind_assoc := λ α β γ x f g, trunc.eq _ _ }
variable {C : trunc α → Sort*}
/-- Recursion/induction principle for `trunc`. -/
@[reducible, elab_as_eliminator]
protected def rec
(f : Π a, C (mk a)) (h : ∀ (a b : α), (eq.rec (f a) (trunc.eq (mk a) (mk b)) : C (mk b)) = f b)
(q : trunc α) : C q :=
quot.rec f (λ a b _, h a b) q
/-- A version of `trunc.rec` taking `q : trunc α` as the first argument. -/
@[reducible, elab_as_eliminator]
protected def rec_on (q : trunc α) (f : Π a, C (mk a))
(h : ∀ (a b : α), (eq.rec (f a) (trunc.eq (mk a) (mk b)) : C (mk b)) = f b) : C q :=
trunc.rec f h q
/-- A version of `trunc.rec_on` assuming the codomain is a `subsingleton`. -/
@[reducible, elab_as_eliminator]
protected def rec_on_subsingleton
[∀ a, subsingleton (C (mk a))] (q : trunc α) (f : Π a, C (mk a)) : C q :=
trunc.rec f (λ a b, subsingleton.elim _ (f b)) q
/-- Noncomputably extract a representative of `trunc α` (using the axiom of choice). -/
noncomputable def out : trunc α → α := quot.out
@[simp] theorem out_eq (q : trunc α) : mk q.out = q := trunc.eq _ _
protected theorem nonempty (q : trunc α) : nonempty α :=
nonempty_of_exists q.exists_rep
end trunc
/-! ### `quotient` with implicit `setoid` -/
namespace quotient
variables {γ : Sort*} {φ : Sort*}
{s₁ : setoid α} {s₂ : setoid β} {s₃ : setoid γ}
/-! Versions of quotient definitions and lemmas ending in `'` use unification instead
of typeclass inference for inferring the `setoid` argument. This is useful when there are
several different quotient relations on a type, for example quotient groups, rings and modules. -/
/-- A version of `quotient.mk` taking `{s : setoid α}` as an implicit argument instead of an
instance argument. -/
protected def mk' (a : α) : quotient s₁ := quot.mk s₁.1 a
/-- `quotient.mk'` is a surjective function. -/
lemma surjective_quotient_mk' : function.surjective (quotient.mk' : α → quotient s₁) :=
quot.exists_rep
/-- A version of `quotient.lift_on` taking `{s : setoid α}` as an implicit argument instead of an
instance argument. -/
@[elab_as_eliminator, reducible]
protected def lift_on' (q : quotient s₁) (f : α → φ)
(h : ∀ a b, @setoid.r α s₁ a b → f a = f b) : φ := quotient.lift_on q f h
@[simp]
protected lemma lift_on'_mk' (f : α → φ) (h) (x : α) :
quotient.lift_on' (@quotient.mk' _ s₁ x) f h = f x := rfl
/-- A version of `quotient.lift_on₂` taking `{s₁ : setoid α} {s₂ : setoid β}` as implicit arguments
instead of instance arguments. -/
@[elab_as_eliminator, reducible]
protected def lift_on₂' (q₁ : quotient s₁) (q₂ : quotient s₂) (f : α → β → γ)
(h : ∀ a₁ a₂ b₁ b₂, @setoid.r α s₁ a₁ b₁ → @setoid.r β s₂ a₂ b₂ → f a₁ a₂ = f b₁ b₂) : γ :=
quotient.lift_on₂ q₁ q₂ f h
@[simp]
protected lemma lift_on₂'_mk' (f : α → β → γ) (h) (a : α) (b : β) :
quotient.lift_on₂' (@quotient.mk' _ s₁ a) (@quotient.mk' _ s₂ b) f h = f a b := rfl
/-- A version of `quotient.ind` taking `{s : setoid α}` as an implicit argument instead of an
instance argument. -/
@[elab_as_eliminator]
protected lemma ind' {p : quotient s₁ → Prop}
(h : ∀ a, p (quotient.mk' a)) (q : quotient s₁) : p q :=
quotient.ind h q
/-- A version of `quotient.ind₂` taking `{s₁ : setoid α} {s₂ : setoid β}` as implicit arguments
instead of instance arguments. -/
@[elab_as_eliminator]
protected lemma ind₂' {p : quotient s₁ → quotient s₂ → Prop}
(h : ∀ a₁ a₂, p (quotient.mk' a₁) (quotient.mk' a₂))
(q₁ : quotient s₁) (q₂ : quotient s₂) : p q₁ q₂ :=
quotient.ind₂ h q₁ q₂
/-- A version of `quotient.induction_on` taking `{s : setoid α}` as an implicit argument instead
of an instance argument. -/
@[elab_as_eliminator]
protected lemma induction_on' {p : quotient s₁ → Prop} (q : quotient s₁)
(h : ∀ a, p (quotient.mk' a)) : p q := quotient.induction_on q h
/-- A version of `quotient.induction_on₂` taking `{s₁ : setoid α} {s₂ : setoid β}` as implicit
arguments instead of instance arguments. -/
@[elab_as_eliminator]
protected lemma induction_on₂' {p : quotient s₁ → quotient s₂ → Prop} (q₁ : quotient s₁)
(q₂ : quotient s₂) (h : ∀ a₁ a₂, p (quotient.mk' a₁) (quotient.mk' a₂)) : p q₁ q₂ :=
quotient.induction_on₂ q₁ q₂ h
/-- A version of `quotient.induction_on₃` taking `{s₁ : setoid α} {s₂ : setoid β} {s₃ : setoid γ}`
as implicit arguments instead of instance arguments. -/
@[elab_as_eliminator]
protected lemma induction_on₃' {p : quotient s₁ → quotient s₂ → quotient s₃ → Prop}
(q₁ : quotient s₁) (q₂ : quotient s₂) (q₃ : quotient s₃)
(h : ∀ a₁ a₂ a₃, p (quotient.mk' a₁) (quotient.mk' a₂) (quotient.mk' a₃)) : p q₁ q₂ q₃ :=
quotient.induction_on₃ q₁ q₂ q₃ h
/-- A version of `quotient.rec_on_subsingleton` taking `{s₁ : setoid α}` as an implicit argument
instead of an instance argument. -/
@[elab_as_eliminator]
protected def rec_on_subsingleton' {φ : quotient s₁ → Sort*}
[h : ∀ a, subsingleton (φ ⟦a⟧)] (q : quotient s₁) (f : Π a, φ (quotient.mk' a)) : φ q :=
quotient.rec_on_subsingleton q f
/-- A version of `quotient.rec_on_subsingleton₂` taking `{s₁ : setoid α} {s₂ : setoid α}`
as implicit arguments instead of instance arguments. -/
attribute [reducible, elab_as_eliminator]
protected def rec_on_subsingleton₂'
{φ : quotient s₁ → quotient s₂ → Sort*} [h : ∀ a b, subsingleton (φ ⟦a⟧ ⟦b⟧)]
(q₁ : quotient s₁) (q₂ : quotient s₂) (f : Π a₁ a₂, φ (quotient.mk' a₁) (quotient.mk' a₂)) :
φ q₁ q₂ :=
quotient.rec_on_subsingleton₂ q₁ q₂ f
/-- Recursion on a `quotient` argument `a`, result type depends on `⟦a⟧`. -/
protected def hrec_on' {φ : quotient s₁ → Sort*} (qa : quotient s₁) (f : Π a, φ (quotient.mk' a))
(c : ∀ a₁ a₂, a₁ ≈ a₂ → f a₁ == f a₂) : φ qa :=
quot.hrec_on qa f c
@[simp] lemma hrec_on'_mk' {φ : quotient s₁ → Sort*} (f : Π a, φ (quotient.mk' a))
(c : ∀ a₁ a₂, a₁ ≈ a₂ → f a₁ == f a₂) (x : α) :
(quotient.mk' x).hrec_on' f c = f x :=
rfl
/-- Recursion on two `quotient` arguments `a` and `b`, result type depends on `⟦a⟧` and `⟦b⟧`. -/
protected def hrec_on₂' {φ : quotient s₁ → quotient s₂ → Sort*} (qa : quotient s₁)
(qb : quotient s₂) (f : ∀ a b, φ (quotient.mk' a) (quotient.mk' b))
(c : ∀ a₁ b₁ a₂ b₂, a₁ ≈ a₂ → b₁ ≈ b₂ → f a₁ b₁ == f a₂ b₂) : φ qa qb :=
quotient.hrec_on₂ qa qb f c
@[simp] lemma hrec_on₂'_mk' {φ : quotient s₁ → quotient s₂ → Sort*}
(f : ∀ a b, φ (quotient.mk' a) (quotient.mk' b))
(c : ∀ a₁ b₁ a₂ b₂, a₁ ≈ a₂ → b₁ ≈ b₂ → f a₁ b₁ == f a₂ b₂) (x : α) (qb : quotient s₂) :
(quotient.mk' x).hrec_on₂' qb f c = qb.hrec_on' (f x) (λ b₁ b₂, c _ _ _ _ (setoid.refl _)) :=
rfl
/-- Map a function `f : α → β` that sends equivalent elements to equivalent elements
to a function `quotient sa → quotient sb`. Useful to define unary operations on quotients. -/
protected def map' (f : α → β) (h : (s₁.r ⇒ s₂.r) f f) :
quotient s₁ → quotient s₂ :=
quot.map f h
@[simp] lemma map'_mk' (f : α → β) (h) (x : α) :
(quotient.mk' x : quotient s₁).map' f h = (quotient.mk' (f x) : quotient s₂) :=
rfl
/-- A version of `quotient.map₂` using curly braces and unification. -/
protected def map₂' (f : α → β → γ) (h : (s₁.r ⇒ s₂.r ⇒ s₃.r) f f) :
quotient s₁ → quotient s₂ → quotient s₃ :=
quotient.map₂ f h
@[simp] lemma map₂'_mk' (f : α → β → γ) (h) (x : α) :
(quotient.mk' x : quotient s₁).map₂' f h =
(quotient.map' (f x) (h (setoid.refl x)) : quotient s₂ → quotient s₃) :=
rfl
lemma exact' {a b : α} :
(quotient.mk' a : quotient s₁) = quotient.mk' b → @setoid.r _ s₁ a b :=
quotient.exact
lemma sound' {a b : α} : @setoid.r _ s₁ a b → @quotient.mk' α s₁ a = quotient.mk' b :=
quotient.sound
@[simp]
protected lemma eq' {a b : α} : @quotient.mk' α s₁ a = quotient.mk' b ↔ @setoid.r _ s₁ a b :=
quotient.eq
/-- A version of `quotient.out` taking `{s₁ : setoid α}` as an implicit argument instead of an
instance argument. -/
noncomputable def out' (a : quotient s₁) : α := quotient.out a
@[simp] theorem out_eq' (q : quotient s₁) : quotient.mk' q.out' = q := q.out_eq
theorem mk_out' (a : α) : @setoid.r α s₁ (quotient.mk' a : quotient s₁).out' a :=
quotient.exact (quotient.out_eq _)
section
variables [setoid α]
protected lemma mk'_eq_mk (x : α) : quotient.mk' x = ⟦x⟧ := rfl
@[simp] protected lemma lift_on'_mk (x : α) (f : α → β) (h) : ⟦x⟧.lift_on' f h = f x := rfl
@[simp] protected lemma lift_on₂'_mk [setoid β] (f : α → β → γ) (h) (a : α) (b : β) :
quotient.lift_on₂' ⟦a⟧ ⟦b⟧ f h = f a b := quotient.lift_on₂'_mk' _ _ _ _
@[simp] lemma map'_mk [setoid β] (f : α → β) (h) (x : α) : ⟦x⟧.map' f h = ⟦f x⟧ := rfl
end
instance (q : quotient s₁) (f : α → Prop) (h : ∀ a b, @setoid.r α s₁ a b → f a = f b)
[decidable_pred f] :
decidable (quotient.lift_on' q f h) :=
quotient.lift.decidable_pred _ _ q
instance (q₁ : quotient s₁) (q₂ : quotient s₂) (f : α → β → Prop)
(h : ∀ a₁ b₁ a₂ b₂, @setoid.r α s₁ a₁ a₂ → @setoid.r β s₂ b₁ b₂ → f a₁ b₁ = f a₂ b₂)
[Π a, decidable_pred (f a)] :
decidable (quotient.lift_on₂' q₁ q₂ f h) :=
quotient.lift₂.decidable_pred _ _ _ _
end quotient
|
190f823eee0dc94971030834040e9366b0ab2982 | ae1e94c332e17c7dc7051ce976d5a9eebe7ab8a5 | /src/Lean/Compiler/IR/ExpandResetReuse.lean | 844907f3c5840cdad2d103771202fe9b9668e998 | [
"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 | 10,013 | 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.Compiler.IR.CompilerM
import Lean.Compiler.IR.NormIds
import Lean.Compiler.IR.FreeVars
namespace Lean.IR.ExpandResetReuse
/- Mapping from variable to projections -/
abbrev ProjMap := Std.HashMap VarId Expr
namespace CollectProjMap
abbrev Collector := ProjMap → ProjMap
@[inline] def collectVDecl (x : VarId) (v : Expr) : Collector := fun m =>
match v with
| Expr.proj .. => m.insert x v
| Expr.sproj .. => m.insert x v
| Expr.uproj .. => m.insert x v
| _ => m
partial def collectFnBody : FnBody → Collector
| FnBody.vdecl x _ v b => collectVDecl x v ∘ collectFnBody b
| FnBody.jdecl _ _ v b => collectFnBody v ∘ collectFnBody b
| FnBody.case _ _ _ alts => fun s => alts.foldl (fun s alt => collectFnBody alt.body s) s
| e => if e.isTerminal then id else collectFnBody e.body
end CollectProjMap
/- Create a mapping from variables to projections.
This function assumes variable ids have been normalized -/
def mkProjMap (d : Decl) : ProjMap :=
match d with
| Decl.fdecl _ _ _ b => CollectProjMap.collectFnBody b {}
| _ => {}
structure Context where
projMap : ProjMap
/- Return true iff `x` is consumed in all branches of the current block.
Here consumption means the block contains a `dec x` or `reuse x ...`. -/
partial def consumed (x : VarId) : FnBody → Bool
| FnBody.vdecl _ _ v b =>
match v with
| Expr.reuse y _ _ _ => x == y || consumed x b
| _ => consumed x b
| FnBody.dec y _ _ _ b => x == y || consumed x b
| FnBody.case _ _ _ alts => alts.all fun alt => consumed x alt.body
| e => !e.isTerminal && consumed x e.body
abbrev Mask := Array (Option VarId)
/- Auxiliary function for eraseProjIncFor -/
partial def eraseProjIncForAux (y : VarId) (bs : Array FnBody) (mask : Mask) (keep : Array FnBody) : Array FnBody × Mask :=
let done (_ : Unit) := (bs ++ keep.reverse, mask)
let keepInstr (b : FnBody) := eraseProjIncForAux y bs.pop mask (keep.push b)
if bs.size < 2 then done ()
else
let b := bs.back
match b with
| (FnBody.vdecl _ _ (Expr.sproj _ _ _) _) => keepInstr b
| (FnBody.vdecl _ _ (Expr.uproj _ _) _) => keepInstr b
| (FnBody.inc z n c p _) =>
if n == 0 then done () else
let b' := bs[bs.size - 2]
match b' with
| (FnBody.vdecl w _ (Expr.proj i x) _) =>
if w == z && y == x then
/- Found
```
let z := proj[i] y
inc z n c
```
We keep `proj`, and `inc` when `n > 1`
-/
let bs := bs.pop.pop
let mask := mask.set! i (some z)
let keep := keep.push b'
let keep := if n == 1 then keep else keep.push (FnBody.inc z (n-1) c p FnBody.nil)
eraseProjIncForAux y bs mask keep
else done ()
| other => done ()
| other => done ()
/- Try to erase `inc` instructions on projections of `y` occurring in the tail of `bs`.
Return the updated `bs` and a bit mask specifying which `inc`s have been removed. -/
def eraseProjIncFor (n : Nat) (y : VarId) (bs : Array FnBody) : Array FnBody × Mask :=
eraseProjIncForAux y bs (mkArray n none) #[]
/- Replace `reuse x ctor ...` with `ctor ...`, and remoce `dec x` -/
partial def reuseToCtor (x : VarId) : FnBody → FnBody
| FnBody.dec y n c p b =>
if x == y then b -- n must be 1 since `x := reset ...`
else FnBody.dec y n c p (reuseToCtor x b)
| FnBody.vdecl z t v b =>
match v with
| Expr.reuse y c u xs =>
if x == y then FnBody.vdecl z t (Expr.ctor c xs) b
else FnBody.vdecl z t v (reuseToCtor x b)
| _ =>
FnBody.vdecl z t v (reuseToCtor x b)
| FnBody.case tid y yType alts =>
let alts := alts.map fun alt => alt.modifyBody (reuseToCtor x)
FnBody.case tid y yType alts
| e =>
if e.isTerminal then
e
else
let (instr, b) := e.split
let b := reuseToCtor x b
instr.setBody b
/-
replace
```
x := reset y; b
```
with
```
inc z_1; ...; inc z_i; dec y; b'
```
where `z_i`'s are the variables in `mask`,
and `b'` is `b` where we removed `dec x` and replaced `reuse x ctor_i ...` with `ctor_i ...`.
-/
def mkSlowPath (x y : VarId) (mask : Mask) (b : FnBody) : FnBody :=
let b := reuseToCtor x b
let b := FnBody.dec y 1 true false b
mask.foldl (init := b) fun b m => match m with
| some z => FnBody.inc z 1 true false b
| none => b
abbrev M := ReaderT Context (StateM Nat)
def mkFresh : M VarId :=
modifyGet $ fun n => ({ idx := n }, n + 1)
def releaseUnreadFields (y : VarId) (mask : Mask) (b : FnBody) : M FnBody :=
mask.size.foldM (init := b) fun i b =>
match mask.get! i with
| some _ => pure b -- code took ownership of this field
| none => do
let fld ← mkFresh
pure (FnBody.vdecl fld IRType.object (Expr.proj i y) (FnBody.dec fld 1 true false b))
def setFields (y : VarId) (zs : Array Arg) (b : FnBody) : FnBody :=
zs.size.fold (init := b) fun i b => FnBody.set y i (zs.get! i) b
/- Given `set x[i] := y`, return true iff `y := proj[i] x` -/
def isSelfSet (ctx : Context) (x : VarId) (i : Nat) (y : Arg) : Bool :=
match y with
| Arg.var y =>
match ctx.projMap.find? y with
| some (Expr.proj j w) => j == i && w == x
| _ => false
| _ => false
/- Given `uset x[i] := y`, return true iff `y := uproj[i] x` -/
def isSelfUSet (ctx : Context) (x : VarId) (i : Nat) (y : VarId) : Bool :=
match ctx.projMap.find? y with
| some (Expr.uproj j w) => j == i && w == x
| _ => false
/- Given `sset x[n, i] := y`, return true iff `y := sproj[n, i] x` -/
def isSelfSSet (ctx : Context) (x : VarId) (n : Nat) (i : Nat) (y : VarId) : Bool :=
match ctx.projMap.find? y with
| some (Expr.sproj m j w) => n == m && j == i && w == x
| _ => false
/- Remove unnecessary `set/uset/sset` operations -/
partial def removeSelfSet (ctx : Context) : FnBody → FnBody
| FnBody.set x i y b =>
if isSelfSet ctx x i y then removeSelfSet ctx b
else FnBody.set x i y (removeSelfSet ctx b)
| FnBody.uset x i y b =>
if isSelfUSet ctx x i y then removeSelfSet ctx b
else FnBody.uset x i y (removeSelfSet ctx b)
| FnBody.sset x n i y t b =>
if isSelfSSet ctx x n i y then removeSelfSet ctx b
else FnBody.sset x n i y t (removeSelfSet ctx b)
| FnBody.case tid y yType alts =>
let alts := alts.map fun alt => alt.modifyBody (removeSelfSet ctx)
FnBody.case tid y yType alts
| e =>
if e.isTerminal then e
else
let (instr, b) := e.split
let b := removeSelfSet ctx b
instr.setBody b
partial def reuseToSet (ctx : Context) (x y : VarId) : FnBody → FnBody
| FnBody.dec z n c p b =>
if x == z then FnBody.del y b
else FnBody.dec z n c p (reuseToSet ctx x y b)
| FnBody.vdecl z t v b =>
match v with
| Expr.reuse w c u zs =>
if x == w then
let b := setFields y zs (b.replaceVar z y)
let b := if u then FnBody.setTag y c.cidx b else b
removeSelfSet ctx b
else FnBody.vdecl z t v (reuseToSet ctx x y b)
| _ => FnBody.vdecl z t v (reuseToSet ctx x y b)
| FnBody.case tid z zType alts =>
let alts := alts.map fun alt => alt.modifyBody (reuseToSet ctx x y)
FnBody.case tid z zType alts
| e =>
if e.isTerminal then e
else
let (instr, b) := e.split
let b := reuseToSet ctx x y b
instr.setBody b
/-
replace
```
x := reset y; b
```
with
```
let f_i_1 := proj[i_1] y;
...
let f_i_k := proj[i_k] y;
b'
```
where `i_j`s are the field indexes
that the code did not touch immediately before the reset.
That is `mask[j] == none`.
`b'` is `b` where `y` `dec x` is replaced with `del y`,
and `z := reuse x ctor_i ws; F` is replaced with
`set x i ws[i]` operations, and we replace `z` with `x` in `F`
-/
def mkFastPath (x y : VarId) (mask : Mask) (b : FnBody) : M FnBody := do
let ctx ← read
let b := reuseToSet ctx x y b
releaseUnreadFields y mask b
-- Expand `bs; x := reset[n] y; b`
partial def expand (mainFn : FnBody → Array FnBody → M FnBody)
(bs : Array FnBody) (x : VarId) (n : Nat) (y : VarId) (b : FnBody) : M FnBody := do
let bOld := FnBody.vdecl x IRType.object (Expr.reset n y) b
let (bs, mask) := eraseProjIncFor n y bs
/- Remark: we may be duplicting variable/JP indices. That is, `bSlow` and `bFast` may
have duplicate indices. We run `normalizeIds` to fix the ids after we have expand them. -/
let bSlow := mkSlowPath x y mask b
let bFast ← mkFastPath x y mask b
/- We only optimize recursively the fast. -/
let bFast ← mainFn bFast #[]
let c ← mkFresh
let b := FnBody.vdecl c IRType.uint8 (Expr.isShared y) (mkIf c bSlow bFast)
pure $ reshape bs b
partial def searchAndExpand : FnBody → Array FnBody → M FnBody
| d@(FnBody.vdecl x t (Expr.reset n y) b), bs =>
if consumed x b then do
expand searchAndExpand bs x n y b
else
searchAndExpand b (push bs d)
| FnBody.jdecl j xs v b, bs => do
let v ← searchAndExpand v #[]
searchAndExpand b (push bs (FnBody.jdecl j xs v FnBody.nil))
| FnBody.case tid x xType alts, bs => do
let alts ← alts.mapM $ fun alt => alt.mmodifyBody fun b => searchAndExpand b #[]
pure $ reshape bs (FnBody.case tid x xType alts)
| b, bs =>
if b.isTerminal then pure $ reshape bs b
else searchAndExpand b.body (push bs b)
def main (d : Decl) : Decl :=
match d with
| (Decl.fdecl f xs t b) =>
let m := mkProjMap d
let nextIdx := d.maxIndex + 1
let b := (searchAndExpand b #[] { projMap := m }).run' nextIdx
Decl.fdecl f xs t b
| d => d
end ExpandResetReuse
/-- (Try to) expand `reset` and `reuse` instructions. -/
def Decl.expandResetReuse (d : Decl) : Decl :=
(ExpandResetReuse.main d).normalizeIds
end Lean.IR
|
5be4cf596938de45a3a3561065e581a178136cc3 | c6da0300d417abe3464e750ab51a63502b93acfa | /src/struct_tact/induction_on.lean | ee4579b3553019a3290dfccd03e78c7c1806d926 | [
"Apache-2.0"
] | permissive | uwplse/struct_tact | 55bc1d260fac498cff83a4d71461041f8ed74bd6 | 22188ea2e97705d1185f75dde24e6bab88054ab0 | refs/heads/master | 1,630,670,592,496 | 1,515,453,299,000 | 1,515,453,299,000 | 104,603,771 | 0 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 2,850 | lean | open tactic
open interactive
meta def mk_eqs : list expr → tactic (list name)
| [] := return []
| (e :: es) :=
match e with
| (expr.local_const _ _ _ _) :=
mk_eqs es
| _ := do n ← get_unused_name `index,
ty ← infer_type e,
tactic.definev n ty e,
eq_n ← get_unused_name `eq,
nloc ← get_local n,
eql ← to_expr ``(%%nloc = %%e),
pr ← to_expr ``(eq.refl %%e),
tactic.note eq_n eql pr,
ns' ← mk_eqs es,
get_local eq_n >>= revert,
return (n :: ns')
end
meta def induction_preserve_constants (induction_var : name) : tactic unit :=
do loc ← get_local induction_var,
ty ← infer_type loc,
match ty with
| (expr.app _ _ ) :=
let fn := expr.get_app_fn ty,
args := expr.get_app_args ty
in do -- tactic.trace (to_string args),
ns ← mk_eqs args,
-- tactic.trace_state,
iv ← get_local induction_var,
seq (`[induction iv])
(do monad.mapm (fun n, get_local n >>= revert) ns,
`[try { dsimp * }],
intros,
-- generalize me
-- monad.mapm (fun _, do n ← get_unused_name `eq, intro n >>= subst) ns,
return ())
| _ := do iv ← get_local induction_var,
`[induction iv]
end
/-- A specialized version of induction which fixes some flaws present in the default induction tactic.
So far it supports two new features, it will introduce up to the named variable this behavior is similar
to Coq's induction tactic, and allows you to start proofs with goals of the form:
-------------
|- forall (x_1 : t_1) ... (x_n : t_n), Goal
With the invocation `induction x_i` where `x_i` is one the names mentioned in the above quantifier.
The second feature side-steps the fact that induction "forgets" constant indicies, we first traverse
the type of the induction target collecting non-locals, then we introduce fresh bindings for each
constant, and equality which can be inhabited with `refl`, revert the equalities so they are in the
goal before we invoke induction. We can then rewrite with these equalities in each sub goal to restablish
that the indices were equal to some constant. -/
meta def induction_on (induction_var : parse lean.parser.ident) : tactic unit :=
do tgt ← target,
match tgt with
| (expr.pi binder_name _ _ _) :=
if binder_name = induction_var
then do intro binder_name,
induction_preserve_constants binder_name,
return ()
else do intro binder_name, induction_on
| _ := induction_preserve_constants induction_var
end
|
4731d1904aa45fca4d3533d90173b9a08e60ebba | 9dc8cecdf3c4634764a18254e94d43da07142918 | /src/topology/nhds_set.lean | c50a4a94bb142ccb7cf84af210263c232186ae0e | [
"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 | 4,360 | lean | /-
Copyright (c) 2022 Floris van Doorn. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Floris van Doorn, Patrick Massot
-/
import topology.basic
/-!
# Neighborhoods of a set
In this file we define the filter `𝓝ˢ s` or `nhds_set s` consisting of all neighborhoods of a set
`s`.
## Main Properties
There are a couple different notions equivalent to `s ∈ 𝓝ˢ t`:
* `s ⊆ interior t` using `subset_interior_iff_mem_nhds_set`
* `∀ (x : α), x ∈ t → s ∈ 𝓝 x` using `mem_nhds_set_iff_forall`
* `∃ U : set α, is_open U ∧ t ⊆ U ∧ U ⊆ s` using `mem_nhds_set_iff_exists`
Furthermore, we have the following results:
* `monotone_nhds_set`: `𝓝ˢ` is monotone
* In T₁-spaces, `𝓝ˢ`is strictly monotone and hence injective:
`strict_mono_nhds_set`/`injective_nhds_set`. These results are in `topology.separation`.
-/
open set filter
open_locale topological_space filter
variables {α β : Type*} [topological_space α] [topological_space β]
{s t s₁ s₂ t₁ t₂ : set α} {x : α}
/-- The filter of neighborhoods of a set in a topological space. -/
def nhds_set (s : set α) : filter α :=
Sup (nhds '' s)
localized "notation (name := nhds_set) `𝓝ˢ` := nhds_set" in topological_space
lemma nhds_set_diagonal (α) [topological_space (α × α)] : 𝓝ˢ (diagonal α) = ⨆ x, 𝓝 (x, x) :=
by { rw [nhds_set, ← range_diag, ← range_comp], refl }
lemma mem_nhds_set_iff_forall : s ∈ 𝓝ˢ t ↔ ∀ (x : α), x ∈ t → s ∈ 𝓝 x :=
by simp_rw [nhds_set, filter.mem_Sup, ball_image_iff]
lemma bUnion_mem_nhds_set {t : α → set α} (h : ∀ x ∈ s, t x ∈ 𝓝 x) : (⋃ x ∈ s, t x) ∈ 𝓝ˢ s :=
mem_nhds_set_iff_forall.2 $ λ x hx, mem_of_superset (h x hx) (subset_Union₂ x hx)
lemma subset_interior_iff_mem_nhds_set : s ⊆ interior t ↔ t ∈ 𝓝ˢ s :=
by simp_rw [mem_nhds_set_iff_forall, subset_interior_iff_nhds]
lemma mem_nhds_set_iff_exists : s ∈ 𝓝ˢ t ↔ ∃ U : set α, is_open U ∧ t ⊆ U ∧ U ⊆ s :=
by { rw [← subset_interior_iff_mem_nhds_set, subset_interior_iff] }
lemma has_basis_nhds_set (s : set α) : (𝓝ˢ s).has_basis (λ U, is_open U ∧ s ⊆ U) (λ U, U) :=
⟨λ t, by simp [mem_nhds_set_iff_exists, and_assoc]⟩
lemma is_open.mem_nhds_set (hU : is_open s) : s ∈ 𝓝ˢ t ↔ t ⊆ s :=
by rw [← subset_interior_iff_mem_nhds_set, interior_eq_iff_open.mpr hU]
lemma principal_le_nhds_set : 𝓟 s ≤ 𝓝ˢ s :=
λ s hs, (subset_interior_iff_mem_nhds_set.mpr hs).trans interior_subset
@[simp] lemma nhds_set_eq_principal_iff : 𝓝ˢ s = 𝓟 s ↔ is_open s :=
by rw [← principal_le_nhds_set.le_iff_eq, le_principal_iff, mem_nhds_set_iff_forall,
is_open_iff_mem_nhds]
alias nhds_set_eq_principal_iff ↔ _ is_open.nhds_set_eq
@[simp] lemma nhds_set_interior : 𝓝ˢ (interior s) = 𝓟 (interior s) :=
is_open_interior.nhds_set_eq
@[simp] lemma nhds_set_singleton : 𝓝ˢ {x} = 𝓝 x :=
by { ext,
rw [← subset_interior_iff_mem_nhds_set, ← mem_interior_iff_mem_nhds, singleton_subset_iff] }
lemma mem_nhds_set_interior : s ∈ 𝓝ˢ (interior s) :=
subset_interior_iff_mem_nhds_set.mp subset.rfl
@[simp] lemma nhds_set_empty : 𝓝ˢ (∅ : set α) = ⊥ :=
by rw [is_open_empty.nhds_set_eq, principal_empty]
lemma mem_nhds_set_empty : s ∈ 𝓝ˢ (∅ : set α) := by simp
@[simp] lemma nhds_set_univ : 𝓝ˢ (univ : set α) = ⊤ :=
by rw [is_open_univ.nhds_set_eq, principal_univ]
lemma monotone_nhds_set : monotone (𝓝ˢ : set α → filter α) :=
λ s t hst, Sup_le_Sup $ image_subset _ hst
@[simp] lemma nhds_set_union (s t : set α) : 𝓝ˢ (s ∪ t) = 𝓝ˢ s ⊔ 𝓝ˢ t :=
by simp only [nhds_set, image_union, Sup_union]
lemma union_mem_nhds_set (h₁ : s₁ ∈ 𝓝ˢ t₁) (h₂ : s₂ ∈ 𝓝ˢ t₂) : s₁ ∪ s₂ ∈ 𝓝ˢ (t₁ ∪ t₂) :=
by { rw nhds_set_union, exact union_mem_sup h₁ h₂ }
/-- Preimage of a set neighborhood of `t` under a continuous map `f` is a set neighborhood of `s`
provided that `f` maps `s` to `t`. -/
lemma continuous.tendsto_nhds_set {f : α → β} {t : set β} (hf : continuous f)
(hst : maps_to f s t) : tendsto f (𝓝ˢ s) (𝓝ˢ t) :=
((has_basis_nhds_set s).tendsto_iff (has_basis_nhds_set t)).mpr $ λ U hU,
⟨f ⁻¹' U, ⟨hU.1.preimage hf, hst.mono subset.rfl hU.2⟩, λ x, id⟩
|
49df007da36b2ceca0a7851d517afa2db0d65492 | 4b846d8dabdc64e7ea03552bad8f7fa74763fc67 | /tests/lean/interactive/my_tac_class.lean | e07297042b5c4f8df50b947a87861ba8d2310a70 | [
"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 | 1,741 | lean | meta def mytac :=
state_t nat tactic
meta instance : monad mytac :=
state_t.monad _ _
meta instance : monad.has_monad_lift tactic mytac :=
monad.monad_transformer_lift (state_t nat) tactic
meta instance (α : Type) : has_coe (tactic α) (mytac α) :=
⟨monad.monad_lift⟩
namespace mytac
meta def step {α : Type} (t : mytac α) : mytac unit :=
t >> return ()
meta def rstep {α : Type} (line : nat) (col : nat) (t : mytac α) : mytac unit :=
λ v s, result.cases_on (@scope_trace _ line col (t v s))
(λ ⟨a, v⟩ new_s, result.success ((), v) new_s)
(λ opt_msg_thunk e new_s, match opt_msg_thunk with
| some msg_thunk := let msg := msg_thunk () ++ format.line ++ to_fmt "value: " ++ to_fmt v ++ format.line ++ to_fmt "state:" ++ format.line ++ new_s^.to_format in
(tactic.report_error line col msg >> interaction_monad.silent_fail) new_s | none := interaction_monad.silent_fail new_s end)
meta def execute (tac : mytac unit) : tactic unit :=
tac 0 >> return ()
meta def save_info (p : pos) : mytac unit :=
do v ← state_t.read,
s ← tactic.read,
tactic.save_info_thunk p
(λ _, to_fmt "Custom state: " ++ to_fmt v ++ format.line ++
tactic_state.to_format s)
namespace interactive
meta def intros : mytac unit :=
tactic.intros >> return ()
meta def constructor : mytac unit :=
tactic.constructor
meta def trace (s : string) : mytac unit :=
tactic.trace s
meta def assumption : mytac unit :=
tactic.assumption
meta def inc : mytac unit :=
do v ← state_t.read, state_t.write (v+1)
end interactive
end mytac
example (p q : Prop) : p → q → p ∧ q :=
begin [mytac]
intros,
inc,
trace "test",
constructor,
inc,
assumption,
--^ "command": "info"
assumption
end
|
aacfa63d1ae70e1e009bb917535bf2a67fc9c71c | 4727251e0cd73359b15b664c3170e5d754078599 | /src/category_theory/products/basic.lean | 5bd7e8228e7e87344490c6f9a7531c6df94328c9 | [
"Apache-2.0"
] | permissive | Vierkantor/mathlib | 0ea59ac32a3a43c93c44d70f441c4ee810ccceca | 83bc3b9ce9b13910b57bda6b56222495ebd31c2f | refs/heads/master | 1,658,323,012,449 | 1,652,256,003,000 | 1,652,256,003,000 | 209,296,341 | 0 | 1 | Apache-2.0 | 1,568,807,655,000 | 1,568,807,655,000 | null | UTF-8 | Lean | false | false | 7,694 | 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
-/
import category_theory.eq_to_hom
/-!
# Cartesian products of categories
We define the category instance on `C × D` when `C` and `D` are categories.
We define:
* `sectl C Z` : the functor `C ⥤ C × D` given by `X ↦ ⟨X, Z⟩`
* `sectr Z D` : the functor `D ⥤ C × D` given by `Y ↦ ⟨Z, Y⟩`
* `fst` : the functor `⟨X, Y⟩ ↦ X`
* `snd` : the functor `⟨X, Y⟩ ↦ Y`
* `swap` : the functor `C × D ⥤ D × C` given by `⟨X, Y⟩ ↦ ⟨Y, X⟩`
(and the fact this is an equivalence)
We further define `evaluation : C ⥤ (C ⥤ D) ⥤ D` and `evaluation_uncurried : C × (C ⥤ D) ⥤ D`,
and products of functors and natural transformations, written `F.prod G` and `α.prod β`.
-/
namespace category_theory
-- declare the `v`'s first; see `category_theory.category` for an explanation
universes v₁ v₂ v₃ v₄ u₁ u₂ u₃ u₄
section
variables (C : Type u₁) [category.{v₁} C] (D : Type u₂) [category.{v₂} D]
/--
`prod C D` gives the cartesian product of two categories.
See <https://stacks.math.columbia.edu/tag/001K>.
-/
@[simps {not_recursive := []}] -- the generates simp lemmas like `id_fst` and `comp_snd`
instance prod : category.{max v₁ v₂} (C × D) :=
{ hom := λ X Y, ((X.1) ⟶ (Y.1)) × ((X.2) ⟶ (Y.2)),
id := λ X, ⟨ 𝟙 (X.1), 𝟙 (X.2) ⟩,
comp := λ _ _ _ f g, (f.1 ≫ g.1, f.2 ≫ g.2) }
/-- Two rfl lemmas that cannot be generated by `@[simps]`. -/
@[simp] lemma prod_id (X : C) (Y : D) : 𝟙 (X, Y) = (𝟙 X, 𝟙 Y) := rfl
@[simp] lemma prod_comp {P Q R : C} {S T U : D} (f : (P, S) ⟶ (Q, T)) (g : (Q, T) ⟶ (R, U)) :
f ≫ g = (f.1 ≫ g.1, f.2 ≫ g.2) := rfl
lemma is_iso_prod_iff {P Q : C} {S T : D} {f : (P, S) ⟶ (Q, T)} :
is_iso f ↔ is_iso f.1 ∧ is_iso f.2 :=
begin
split,
{ rintros ⟨g, hfg, hgf⟩,
simp at hfg hgf,
rcases hfg with ⟨hfg₁, hfg₂⟩,
rcases hgf with ⟨hgf₁, hgf₂⟩,
exact ⟨⟨⟨g.1, hfg₁, hgf₁⟩⟩, ⟨⟨g.2, hfg₂, hgf₂⟩⟩⟩ },
{ rintros ⟨⟨g₁, hfg₁, hgf₁⟩, ⟨g₂, hfg₂, hgf₂⟩⟩,
dsimp at hfg₁ hgf₁ hfg₂ hgf₂,
refine ⟨⟨(g₁, g₂), _, _⟩⟩; { simp; split; assumption } }
end
section
variables {C D}
/-- Construct an isomorphism in `C × D` out of two isomorphisms in `C` and `D`. -/
@[simps]
def iso.prod {P Q : C} {S T : D} (f : P ≅ Q) (g : S ≅ T) : (P, S) ≅ (Q, T) :=
{ hom := (f.hom, g.hom),
inv := (f.inv, g.inv), }
end
end
section
variables (C : Type u₁) [category.{v₁} C] (D : Type u₁) [category.{v₁} D]
/--
`prod.category.uniform C D` is an additional instance specialised so both factors have the same
universe levels. This helps typeclass resolution.
-/
instance uniform_prod : category (C × D) := category_theory.prod C D
end
-- Next we define the natural functors into and out of product categories. For now this doesn't
-- address the universal properties.
namespace prod
/-- `sectl C Z` is the functor `C ⥤ C × D` given by `X ↦ (X, Z)`. -/
@[simps] def sectl
(C : Type u₁) [category.{v₁} C] {D : Type u₂} [category.{v₂} D] (Z : D) : C ⥤ C × D :=
{ obj := λ X, (X, Z),
map := λ X Y f, (f, 𝟙 Z) }
/-- `sectr Z D` is the functor `D ⥤ C × D` given by `Y ↦ (Z, Y)` . -/
@[simps] def sectr
{C : Type u₁} [category.{v₁} C] (Z : C) (D : Type u₂) [category.{v₂} D] : D ⥤ C × D :=
{ obj := λ X, (Z, X),
map := λ X Y f, (𝟙 Z, f) }
variables (C : Type u₁) [category.{v₁} C] (D : Type u₂) [category.{v₂} D]
/-- `fst` is the functor `(X, Y) ↦ X`. -/
@[simps] def fst : C × D ⥤ C :=
{ obj := λ X, X.1,
map := λ X Y f, f.1 }
/-- `snd` is the functor `(X, Y) ↦ Y`. -/
@[simps] def snd : C × D ⥤ D :=
{ obj := λ X, X.2,
map := λ X Y f, f.2 }
/-- The functor swapping the factors of a cartesian product of categories, `C × D ⥤ D × C`. -/
@[simps] def swap : C × D ⥤ D × C :=
{ obj := λ X, (X.2, X.1),
map := λ _ _ f, (f.2, f.1) }
/--
Swapping the factors of a cartesion product of categories twice is naturally isomorphic
to the identity functor.
-/
@[simps] def symmetry : swap C D ⋙ swap D C ≅ 𝟭 (C × D) :=
{ hom := { app := λ X, 𝟙 X },
inv := { app := λ X, 𝟙 X } }
/--
The equivalence, given by swapping factors, between `C × D` and `D × C`.
-/
@[simps]
def braiding : C × D ≌ D × C :=
equivalence.mk (swap C D) (swap D C)
(nat_iso.of_components (λ X, eq_to_iso (by simp)) (by tidy))
(nat_iso.of_components (λ X, eq_to_iso (by simp)) (by tidy))
instance swap_is_equivalence : is_equivalence (swap C D) :=
(by apply_instance : is_equivalence (braiding C D).functor)
end prod
section
variables (C : Type u₁) [category.{v₁} C] (D : Type u₂) [category.{v₂} D]
/--
The "evaluation at `X`" functor, such that
`(evaluation.obj X).obj F = F.obj X`,
which is functorial in both `X` and `F`.
-/
@[simps] def evaluation : C ⥤ (C ⥤ D) ⥤ D :=
{ obj := λ X,
{ obj := λ F, F.obj X,
map := λ F G α, α.app X, },
map := λ X Y f,
{ app := λ F, F.map f,
naturality' := λ F G α, eq.symm (α.naturality f) } }
/--
The "evaluation of `F` at `X`" functor,
as a functor `C × (C ⥤ D) ⥤ D`.
-/
@[simps] def evaluation_uncurried : C × (C ⥤ D) ⥤ D :=
{ obj := λ p, p.2.obj p.1,
map := λ x y f, (x.2.map f.1) ≫ (f.2.app y.1),
map_comp' := λ X Y Z f g,
begin
cases g, cases f, cases Z, cases Y, cases X,
simp only [prod_comp, nat_trans.comp_app, functor.map_comp, category.assoc],
rw [←nat_trans.comp_app, nat_trans.naturality, nat_trans.comp_app,
category.assoc, nat_trans.naturality],
end }
end
variables {A : Type u₁} [category.{v₁} A]
{B : Type u₂} [category.{v₂} B]
{C : Type u₃} [category.{v₃} C]
{D : Type u₄} [category.{v₄} D]
namespace functor
/-- The cartesian product of two functors. -/
@[simps] def prod (F : A ⥤ B) (G : C ⥤ D) : A × C ⥤ B × D :=
{ obj := λ X, (F.obj X.1, G.obj X.2),
map := λ _ _ f, (F.map f.1, G.map f.2) }
/- Because of limitations in Lean 3's handling of notations, we do not setup a notation `F × G`.
You can use `F.prod G` as a "poor man's infix", or just write `functor.prod F G`. -/
/-- Similar to `prod`, but both functors start from the same category `A` -/
@[simps] def prod' (F : A ⥤ B) (G : A ⥤ C) : A ⥤ (B × C) :=
{ obj := λ a, (F.obj a, G.obj a),
map := λ x y f, (F.map f, G.map f), }
section
variable (C)
/-- The diagonal functor. -/
def diag : C ⥤ C × C := (𝟭 C).prod' (𝟭 C)
@[simp] lemma diag_obj (X : C) : (diag C).obj X = (X, X) := rfl
@[simp] lemma diag_map {X Y : C} (f : X ⟶ Y) : (diag C).map f = (f, f) := rfl
end
end functor
namespace nat_trans
/-- The cartesian product of two natural transformations. -/
@[simps] def prod {F G : A ⥤ B} {H I : C ⥤ D} (α : F ⟶ G) (β : H ⟶ I) :
F.prod H ⟶ G.prod I :=
{ app := λ X, (α.app X.1, β.app X.2),
naturality' := λ X Y f,
begin
cases X, cases Y,
simp only [functor.prod_map, prod.mk.inj_iff, prod_comp],
split; rw naturality
end }
/- Again, it is inadvisable in Lean 3 to setup a notation `α × β`;
use instead `α.prod β` or `nat_trans.prod α β`. -/
end nat_trans
/-- `F.flip` composed with evaluation is the same as evaluating `F`. -/
@[simps]
def flip_comp_evaluation (F : A ⥤ B ⥤ C) (a) :
F.flip ⋙ (evaluation _ _).obj a ≅ F.obj a :=
nat_iso.of_components (λ b, eq_to_iso rfl) $ by tidy
end category_theory
|
fa522f5ac782af11a1db903afd8128895eb96652 | 367134ba5a65885e863bdc4507601606690974c1 | /src/meta/expr.lean | dbaf30ef4097678fd8309fe9f1b524b13b72de8a | [
"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 | 40,040 | lean | /-
Copyright (c) 2019 Robert Y. Lewis. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Mario Carneiro, Simon Hudon, Scott Morrison, Keeley Hoek, Robert Y. Lewis
-/
import data.string.defs
import tactic.derive_inhabited
/-!
# Additional operations on expr and related types
This file defines basic operations on the types expr, name, declaration, level, environment.
This file is mostly for non-tactics. Tactics should generally be placed in `tactic.core`.
## Tags
expr, name, declaration, level, environment, meta, metaprogramming, tactic
-/
attribute [derive has_reflect, derive decidable_eq] binder_info congr_arg_kind
@[priority 100] meta instance has_reflect.has_to_pexpr {α} [has_reflect α] : has_to_pexpr α :=
⟨λ b, pexpr.of_expr (reflect b)⟩
namespace binder_info
/-! ### Declarations about `binder_info` -/
instance : inhabited binder_info := ⟨ binder_info.default ⟩
/-- The brackets corresponding to a given binder_info. -/
def brackets : binder_info → string × string
| binder_info.implicit := ("{", "}")
| binder_info.strict_implicit := ("{{", "}}")
| binder_info.inst_implicit := ("[", "]")
| _ := ("(", ")")
end binder_info
namespace name
/-! ### Declarations about `name` -/
/-- Find the largest prefix `n` of a `name` such that `f n ≠ none`, then replace this prefix
with the value of `f n`. -/
def map_prefix (f : name → option name) : name → name
| anonymous := anonymous
| (mk_string s n') := (f (mk_string s n')).get_or_else (mk_string s $ map_prefix n')
| (mk_numeral d n') := (f (mk_numeral d n')).get_or_else (mk_numeral d $ map_prefix n')
/-- If `nm` is a simple name (having only one string component) starting with `_`, then
`deinternalize_field nm` removes the underscore. Otherwise, it does nothing. -/
meta def deinternalize_field : name → name
| (mk_string s name.anonymous) :=
let i := s.mk_iterator in
if i.curr = '_' then i.next.next_to_string else s
| n := n
/-- `get_nth_prefix nm n` removes the last `n` components from `nm` -/
meta def get_nth_prefix : name → ℕ → name
| nm 0 := nm
| nm (n + 1) := get_nth_prefix nm.get_prefix n
/-- Auxilliary definition for `pop_nth_prefix` -/
private meta def pop_nth_prefix_aux : name → ℕ → name × ℕ
| anonymous n := (anonymous, 1)
| nm n := let (pfx, height) := pop_nth_prefix_aux nm.get_prefix n in
if height ≤ n then (anonymous, height + 1)
else (nm.update_prefix pfx, height + 1)
/-- Pops the top `n` prefixes from the given name. -/
meta def pop_nth_prefix (nm : name) (n : ℕ) : name :=
prod.fst $ pop_nth_prefix_aux nm n
/-- Pop the prefix of a name -/
meta def pop_prefix (n : name) : name :=
pop_nth_prefix n 1
/-- Auxilliary definition for `from_components` -/
private def from_components_aux : name → list string → name
| n [] := n
| n (s :: rest) := from_components_aux (name.mk_string s n) rest
/-- Build a name from components. For example `from_components ["foo","bar"]` becomes
``` `foo.bar``` -/
def from_components : list string → name :=
from_components_aux name.anonymous
/-- `name`s can contain numeral pieces, which are not legal names
when typed/passed directly to the parser. We turn an arbitrary
name into a legal identifier name by turning the numbers to strings. -/
meta def sanitize_name : name → name
| name.anonymous := name.anonymous
| (name.mk_string s p) := name.mk_string s $ sanitize_name p
| (name.mk_numeral s p) := name.mk_string sformat!"n{s}" $ sanitize_name p
/-- Append a string to the last component of a name -/
def append_suffix : name → string → name
| (mk_string s n) s' := mk_string (s ++ s') n
| n _ := n
/-- The first component of a name, turning a number to a string -/
meta def head : name → string
| (mk_string s anonymous) := s
| (mk_string s p) := head p
| (mk_numeral n p) := head p
| anonymous := "[anonymous]"
/-- Tests whether the first component of a name is `"_private"` -/
meta def is_private (n : name) : bool :=
n.head = "_private"
/-- Get the last component of a name, and convert it to a string. -/
meta def last : name → string
| (mk_string s _) := s
| (mk_numeral n _) := repr n
| anonymous := "[anonymous]"
/-- Returns the number of characters used to print all the string components of a name,
including periods between name segments. Ignores numerical parts of a name. -/
meta def length : name → ℕ
| (mk_string s anonymous) := s.length
| (mk_string s p) := s.length + 1 + p.length
| (mk_numeral n p) := p.length
| anonymous := "[anonymous]".length
/-- Checks whether `nm` has a prefix (including itself) such that P is true -/
def has_prefix (P : name → bool) : name → bool
| anonymous := ff
| (mk_string s nm) := P (mk_string s nm) ∨ has_prefix nm
| (mk_numeral s nm) := P (mk_numeral s nm) ∨ has_prefix nm
/-- Appends `'` to the end of a name. -/
meta def add_prime : name → name
| (name.mk_string s p) := name.mk_string (s ++ "'") p
| n := (name.mk_string "x'" n)
/-- `last_string n` returns the rightmost component of `n`, ignoring numeral components.
For example, ``last_string `a.b.c.33`` will return `` `c ``. -/
def last_string : name → string
| anonymous := "[anonymous]"
| (mk_string s _) := s
| (mk_numeral _ n) := last_string n
/--
Constructs a (non-simple) name from a string.
Example: ``name.from_string "foo.bar" = `foo.bar``
-/
meta def from_string (s : string) : name :=
from_components $ s.split (= '.')
/--
In surface Lean, we can write anonymous Π binders (i.e. binders where the
argument is not named) using the function arrow notation:
```lean
inductive test : Type
| intro : unit → test
```
After elaboration, however, every binder must have a name, so Lean generates
one. In the example, the binder in the type of `intro` is anonymous, so Lean
gives it the name `ᾰ`:
```lean
test.intro : ∀ (ᾰ : unit), test
```
When there are multiple anonymous binders, they are named `ᾰ_1`, `ᾰ_2` etc.
Thus, when we want to know whether the user named a binder, we can check whether
the name follows this scheme. Note, however, that this is not reliable. When the
user writes (for whatever reason)
```lean
inductive test : Type
| intro : ∀ (ᾰ : unit), test
```
we cannot tell that the binder was, in fact, named.
The function `name.is_likely_generated_binder_name` checks if
a name is of the form `ᾰ`, `ᾰ_1`, etc.
-/
library_note "likely generated binder names"
/--
Check whether a simple name was likely generated by Lean to name an anonymous
binder. Such names are either `ᾰ` or `ᾰ_n` for some natural `n`. See
note [likely generated binder names].
-/
meta def is_likely_generated_binder_simple_name : string → bool
| "ᾰ" := tt
| n :=
match n.get_rest "ᾰ_" with
| none := ff
| some suffix := suffix.is_nat
end
/--
Check whether a name was likely generated by Lean to name an anonymous binder.
Such names are either `ᾰ` or `ᾰ_n` for some natural `n`. See
note [likely generated binder names].
-/
meta def is_likely_generated_binder_name (n : name) : bool :=
match n with
| mk_string s anonymous := is_likely_generated_binder_simple_name s
| _ := ff
end
end name
namespace level
/-! ### Declarations about `level` -/
/-- Tests whether a universe level is non-zero for all assignments of its variables -/
meta def nonzero : level → bool
| (succ _) := tt
| (max l₁ l₂) := l₁.nonzero || l₂.nonzero
| (imax _ l₂) := l₂.nonzero
| _ := ff
/--
`l.fold_mvar f` folds a function `f : name → α → α`
over each `n : name` appearing in a `level.mvar n` in `l`.
-/
meta def fold_mvar {α} : level → (name → α → α) → α → α
| zero f := id
| (succ a) f := fold_mvar a f
| (param a) f := id
| (mvar a) f := f a
| (max a b) f := fold_mvar a f ∘ fold_mvar b f
| (imax a b) f := fold_mvar a f ∘ fold_mvar b f
end level
/-! ### Declarations about `binder` -/
/-- The type of binders containing a name, the binding info and the binding type -/
@[derive decidable_eq, derive inhabited]
meta structure binder :=
(name : name)
(info : binder_info)
(type : expr)
namespace binder
/-- Turn a binder into a string. Uses expr.to_string for the type. -/
protected meta def to_string (b : binder) : string :=
let (l, r) := b.info.brackets in
l ++ b.name.to_string ++ " : " ++ b.type.to_string ++ r
open tactic
meta instance : has_to_string binder := ⟨ binder.to_string ⟩
meta instance : has_to_format binder := ⟨ λ b, b.to_string ⟩
meta instance : has_to_tactic_format binder :=
⟨ λ b, let (l, r) := b.info.brackets in
(λ e, l ++ b.name.to_string ++ " : " ++ e ++ r) <$> pp b.type ⟩
end binder
/-!
### Converting between expressions and numerals
There are a number of ways to convert between expressions and numerals, depending on the input and
output types and whether you want to infer the necessary type classes.
See also the tactics `expr.of_nat`, `expr.of_int`, `expr.of_rat`.
-/
/--
`nat.mk_numeral n` embeds `n` as a numeral expression inside a type with 0, 1, and +.
`type`: an expression representing the target type. This must live in Type 0.
`has_zero`, `has_one`, `has_add`: expressions of the type `has_zero %%type`, etc.
-/
meta def nat.mk_numeral (type has_zero has_one has_add : expr) : ℕ → expr :=
let z : expr := `(@has_zero.zero.{0} %%type %%has_zero),
o : expr := `(@has_one.one.{0} %%type %%has_one) in
nat.binary_rec z
(λ b n e, if n = 0 then o else
if b then `(@bit1.{0} %%type %%has_one %%has_add %%e)
else `(@bit0.{0} %%type %%has_add %%e))
/--
`int.mk_numeral z` embeds `z` as a numeral expression inside a type with 0, 1, +, and -.
`type`: an expression representing the target type. This must live in Type 0.
`has_zero`, `has_one`, `has_add`, `has_neg`: expressions of the type `has_zero %%type`, etc.
-/
meta def int.mk_numeral (type has_zero has_one has_add has_neg : expr) : ℤ → expr
| (int.of_nat n) := n.mk_numeral type has_zero has_one has_add
| -[1+n] := let ne := (n+1).mk_numeral type has_zero has_one has_add in
`(@has_neg.neg.{0} %%type %%has_neg %%ne)
/--
`nat.to_pexpr n` creates a `pexpr` that will evaluate to `n`.
The `pexpr` does not hold any typing information:
`to_expr ``((%%(nat.to_pexpr 5) : ℤ))` will create a native integer numeral `(5 : ℤ)`.
-/
meta def nat.to_pexpr : ℕ → pexpr
| 0 := ``(0)
| 1 := ``(1)
| n := if n % 2 = 0 then ``(bit0 %%(nat.to_pexpr (n/2))) else ``(bit1 %%(nat.to_pexpr (n/2)))
namespace expr
/--
Turns an expression into a natural number, assuming it is only built up from
`has_one.one`, `bit0`, `bit1`, `has_zero.zero`, `nat.zero`, and `nat.succ`.
-/
protected meta def to_nat : expr → option ℕ
| `(has_zero.zero) := some 0
| `(has_one.one) := some 1
| `(bit0 %%e) := bit0 <$> e.to_nat
| `(bit1 %%e) := bit1 <$> e.to_nat
| `(nat.succ %%e) := (+1) <$> e.to_nat
| `(nat.zero) := some 0
| _ := none
/--
Turns an expression into a integer, assuming it is only built up from
`has_one.one`, `bit0`, `bit1`, `has_zero.zero` and a optionally a single `has_neg.neg` as head.
-/
protected meta def to_int : expr → option ℤ
| `(has_neg.neg %%e) := do n ← e.to_nat, some (-n)
| e := coe <$> e.to_nat
/--
`is_num_eq n1 n2` returns true if `n1` and `n2` are both numerals with the same numeral structure,
ignoring differences in type and type class arguments.
-/
meta def is_num_eq : expr → expr → bool
| `(@has_zero.zero _ _) `(@has_zero.zero _ _) := tt
| `(@has_one.one _ _) `(@has_one.one _ _) := tt
| `(bit0 %%a) `(bit0 %%b) := a.is_num_eq b
| `(bit1 %%a) `(bit1 %%b) := a.is_num_eq b
| `(-%%a) `(-%%b) := a.is_num_eq b
| `(%%a/%%a') `(%%b/%%b') := a.is_num_eq b
| _ _ := ff
end expr
/-! ### Declarations about `expr` -/
namespace expr
open tactic
/-- List of names removed by `clean`. All these names must resolve to functions defeq `id`. -/
meta def clean_ids : list name :=
[``id, ``id_rhs, ``id_delta, ``hidden]
/-- Clean an expression by removing `id`s listed in `clean_ids`. -/
meta def clean (e : expr) : expr :=
e.replace (λ e n,
match e with
| (app (app (const n _) _) e') :=
if n ∈ clean_ids then some e' else none
| (app (lam _ _ _ (var 0)) e') := some e'
| _ := none
end)
/-- `replace_with e s s'` replaces ocurrences of `s` with `s'` in `e`. -/
meta def replace_with (e : expr) (s : expr) (s' : expr) : expr :=
e.replace $ λc d, if c = s then some (s'.lift_vars 0 d) else none
/-- Apply a function to each constant (inductive type, defined function etc) in an expression. -/
protected meta def apply_replacement_fun (f : name → name) (e : expr) : expr :=
e.replace $ λ e d,
match e with
| expr.const n ls := some $ expr.const (f n) ls
| _ := none
end
/-- Match a variable. -/
meta def match_var {elab} : expr elab → option ℕ
| (var n) := some n
| _ := none
/-- Match a sort. -/
meta def match_sort {elab} : expr elab → option level
| (sort u) := some u
| _ := none
/-- Match a constant. -/
meta def match_const {elab} : expr elab → option (name × list level)
| (const n lvls) := some (n, lvls)
| _ := none
/-- Match a metavariable. -/
meta def match_mvar {elab} : expr elab →
option (name × name × expr elab)
| (mvar unique pretty type) := some (unique, pretty, type)
| _ := none
/-- Match a local constant. -/
meta def match_local_const {elab} : expr elab →
option (name × name × binder_info × expr elab)
| (local_const unique pretty bi type) := some (unique, pretty, bi, type)
| _ := none
/-- Match an application. -/
meta def match_app {elab} : expr elab → option (expr elab × expr elab)
| (app t u) := some (t, u)
| _ := none
/-- Match an application of `coe_fn`. -/
meta def match_app_coe_fn : expr → option (expr × expr × expr × expr)
| (app `(@coe_fn %%α %%inst %%fexpr) x) := some (α, inst, fexpr, x)
| _ := none
/-- Match an abstraction. -/
meta def match_lam {elab} : expr elab →
option (name × binder_info × expr elab × expr elab)
| (lam var_name bi type body) := some (var_name, bi, type, body)
| _ := none
/-- Match a Π type. -/
meta def match_pi {elab} : expr elab →
option (name × binder_info × expr elab × expr elab)
| (pi var_name bi type body) := some (var_name, bi, type, body)
| _ := none
/-- Match a let. -/
meta def match_elet {elab} : expr elab →
option (name × expr elab × expr elab × expr elab)
| (elet var_name type assignment body) := some (var_name, type, assignment, body)
| _ := none
/-- Match a macro. -/
meta def match_macro {elab} : expr elab →
option (macro_def × list (expr elab))
| (macro df args) := some (df, args)
| _ := none
/-- Tests whether an expression is a meta-variable. -/
meta def is_mvar : expr → bool
| (mvar _ _ _) := tt
| _ := ff
/-- Tests whether an expression is a sort. -/
meta def is_sort : expr → bool
| (sort _) := tt
| e := ff
/-- Get the universe levels of a `const` expression -/
meta def univ_levels : expr → list level
| (const n ls) := ls
| _ := []
/--
Replace any metavariables in the expression with underscores, in preparation for printing
`refine ...` statements.
-/
meta def replace_mvars (e : expr) : expr :=
e.replace (λ e' _, if e'.is_mvar then some (unchecked_cast pexpr.mk_placeholder) else none)
/-- If `e` is a local constant, `to_implicit_local_const e` changes the binder info of `e` to
`implicit`. See also `to_implicit_binder`, which also changes lambdas and pis. -/
meta def to_implicit_local_const : expr → expr
| (expr.local_const uniq n bi t) := expr.local_const uniq n binder_info.implicit t
| e := e
/-- If `e` is a local constant, lamda, or pi expression, `to_implicit_binder e` changes the binder
info of `e` to `implicit`. See also `to_implicit_local_const`, which only changes local constants. -/
meta def to_implicit_binder : expr → expr
| (local_const n₁ n₂ _ d) := local_const n₁ n₂ binder_info.implicit d
| (lam n _ d b) := lam n binder_info.implicit d b
| (pi n _ d b) := pi n binder_info.implicit d b
| e := e
/-- Returns a list of all local constants in an expression (without duplicates). -/
meta def list_local_consts (e : expr) : list expr :=
e.fold [] (λ e' _ es, if e'.is_local_constant then insert e' es else es)
/-- Returns the set of all local constants in an expression. -/
meta def list_local_consts' (e : expr) : expr_set :=
e.fold mk_expr_set (λ e' _ es, if e'.is_local_constant then es.insert e' else es)
/-- Returns the unique names of all local constants in an expression. -/
meta def list_local_const_unique_names (e : expr) : name_set :=
e.fold mk_name_set
(λ e' _ es, if e'.is_local_constant then es.insert e'.local_uniq_name else es)
/-- Returns a name_set of all constants in an expression. -/
meta def list_constant (e : expr) : name_set :=
e.fold mk_name_set (λ e' _ es, if e'.is_constant then es.insert e'.const_name else es)
/-- Returns a list of all meta-variables in an expression (without duplicates). -/
meta def list_meta_vars (e : expr) : list expr :=
e.fold [] (λ e' _ es, if e'.is_mvar then insert e' es else es)
/-- Returns the set of all meta-variables in an expression. -/
meta def list_meta_vars' (e : expr) : expr_set :=
e.fold mk_expr_set (λ e' _ es, if e'.is_mvar then es.insert e' else es)
/-- Returns a list of all universe meta-variables in an expression (without duplicates). -/
meta def list_univ_meta_vars (e : expr) : list name :=
native.rb_set.to_list $ e.fold native.mk_rb_set $ λ e' i s,
match e' with
| (sort u) := u.fold_mvar (flip native.rb_set.insert) s
| (const _ ls) := ls.foldl (λ s' l, l.fold_mvar (flip native.rb_set.insert) s') s
| _ := s
end
/--
Test `t` contains the specified subexpression `e`, or a metavariable.
This represents the notion that `e` "may occur" in `t`,
possibly after subsequent unification.
-/
meta def contains_expr_or_mvar (t : expr) (e : expr) : bool :=
-- We can't use `t.has_meta_var` here, as that detects universe metavariables, too.
¬ t.list_meta_vars.empty ∨ e.occurs t
/-- Returns a name_set of all constants in an expression starting with a certain prefix. -/
meta def list_names_with_prefix (pre : name) (e : expr) : name_set :=
e.fold mk_name_set $ λ e' _ l,
match e' with
| expr.const n _ := if n.get_prefix = pre then l.insert n else l
| _ := l
end
/-- Returns true if `e` contains a name `n` where `p n` is true.
Returns `true` if `p name.anonymous` is true. -/
meta def contains_constant (e : expr) (p : name → Prop) [decidable_pred p] : bool :=
e.fold ff (λ e' _ b, if p (e'.const_name) then tt else b)
/--
Returns true if `e` contains a `sorry`.
-/
meta def contains_sorry (e : expr) : bool :=
e.fold ff (λ e' _ b, if (is_sorry e').is_some then tt else b)
/--
`app_symbol_in e l` returns true iff `e` is an application of a constant whose name is in `l`.
-/
meta def app_symbol_in (e : expr) (l : list name) : bool :=
match e.get_app_fn with
| (expr.const n _) := n ∈ l
| _ := ff
end
/-- `get_simp_args e` returns the arguments of `e` that simp can reach via congruence lemmas. -/
meta def get_simp_args (e : expr) : tactic (list expr) :=
-- `mk_specialized_congr_lemma_simp` throws an assertion violation if its argument is not an app
if ¬ e.is_app then pure [] else do
cgr ← mk_specialized_congr_lemma_simp e,
pure $ do
(arg_kind, arg) ← cgr.arg_kinds.zip e.get_app_args,
guard $ arg_kind = congr_arg_kind.eq,
pure arg
/-- Simplifies the expression `t` with the specified options.
The result is `(new_e, pr)` with the new expression `new_e` and a proof
`pr : e = new_e`. -/
meta def simp (t : expr)
(cfg : simp_config := {}) (discharger : tactic unit := failed)
(no_defaults := ff) (attr_names : list name := []) (hs : list simp_arg_type := []) :
tactic (expr × expr × name_set) :=
do (s, to_unfold) ← mk_simp_set no_defaults attr_names hs,
simplify s to_unfold t cfg `eq discharger
/-- Definitionally simplifies the expression `t` with the specified options.
The result is the simplified expression. -/
meta def dsimp (t : expr)
(cfg : dsimp_config := {})
(no_defaults := ff) (attr_names : list name := []) (hs : list simp_arg_type := []) :
tactic expr :=
do (s, to_unfold) ← mk_simp_set no_defaults attr_names hs,
s.dsimplify to_unfold t cfg
/-- Get the names of the bound variables by a sequence of pis or lambdas. -/
meta def binding_names : expr → list name
| (pi n _ _ e) := n :: e.binding_names
| (lam n _ _ e) := n :: e.binding_names
| e := []
/-- head-reduce a single let expression -/
meta def reduce_let : expr → expr
| (elet _ _ v b) := b.instantiate_var v
| e := e
/-- head-reduce all let expressions -/
meta def reduce_lets : expr → expr
| (elet _ _ v b) := reduce_lets $ b.instantiate_var v
| e := e
/-- Instantiate lambdas in the second argument by expressions from the first. -/
meta def instantiate_lambdas : list expr → expr → expr
| (e'::es) (lam n bi t e) := instantiate_lambdas es (e.instantiate_var e')
| _ e := e
/-- Repeatedly apply `expr.subst`. -/
meta def substs : expr → list expr → expr | e es := es.foldl expr.subst e
/-- `instantiate_lambdas_or_apps es e` instantiates lambdas in `e` by expressions from `es`.
If the length of `es` is larger than the number of lambdas in `e`,
then the term is applied to the remaining terms.
Also reduces head let-expressions in `e`, including those after instantiating all lambdas.
This is very similar to `expr.substs`, but this also reduces head let-expressions. -/
meta def instantiate_lambdas_or_apps : list expr → expr → expr
| (v::es) (lam n bi t b) := instantiate_lambdas_or_apps es $ b.instantiate_var v
| es (elet _ _ v b) := instantiate_lambdas_or_apps es $ b.instantiate_var v
| es e := mk_app e es
/--
Some declarations work with open expressions, i.e. an expr that has free variables.
Terms will free variables are not well-typed, and one should not use them in tactics like
`infer_type` or `unify`. You can still do syntactic analysis/manipulation on them.
The reason for working with open types is for performance: instantiating variables requires
iterating through the expression. In one performance test `pi_binders` was more than 6x
quicker than `mk_local_pis` (when applied to the type of all imported declarations 100x).
-/
library_note "open expressions"
/-- Get the codomain/target of a pi-type.
This definition doesn't instantiate bound variables, and therefore produces a term that is open.
See note [open expressions]. -/
meta def pi_codomain : expr → expr
| (pi n bi d b) := pi_codomain b
| e := e
/-- Get the body/value of a lambda-expression.
This definition doesn't instantiate bound variables, and therefore produces a term that is open.
See note [open expressions]. -/
meta def lambda_body : expr → expr
| (lam n bi d b) := lambda_body b
| e := e
/-- Auxilliary defintion for `pi_binders`.
See note [open expressions]. -/
meta def pi_binders_aux : list binder → expr → list binder × expr
| es (pi n bi d b) := pi_binders_aux (⟨n, bi, d⟩::es) b
| es e := (es, e)
/-- Get the binders and codomain of a pi-type.
This definition doesn't instantiate bound variables, and therefore produces a term that is open.
The.tactic `get_pi_binders` in `tactic.core` does the same, but also instantiates the
free variables.
See note [open expressions]. -/
meta def pi_binders (e : expr) : list binder × expr :=
let (es, e) := pi_binders_aux [] e in (es.reverse, e)
/-- Auxilliary defintion for `get_app_fn_args`. -/
meta def get_app_fn_args_aux : list expr → expr → expr × list expr
| r (app f a) := get_app_fn_args_aux (a::r) f
| r e := (e, r)
/-- A combination of `get_app_fn` and `get_app_args`: lists both the
function and its arguments of an application -/
meta def get_app_fn_args : expr → expr × list expr :=
get_app_fn_args_aux []
/-- `drop_pis es e` instantiates the pis in `e` with the expressions from `es`. -/
meta def drop_pis : list expr → expr → tactic expr
| (list.cons v vs) (pi n bi d b) := do
t ← infer_type v,
guard (t =ₐ d),
drop_pis vs (b.instantiate_var v)
| [] e := return e
| _ _ := failed
/-- `mk_op_lst op empty [x1, x2, ...]` is defined as `op x1 (op x2 ...)`.
Returns `empty` if the list is empty. -/
meta def mk_op_lst (op : expr) (empty : expr) : list expr → expr
| [] := empty
| [e] := e
| (e :: es) := op e $ mk_op_lst es
/-- `mk_and_lst [x1, x2, ...]` is defined as `x1 ∧ (x2 ∧ ...)`, or `true` if the list is empty. -/
meta def mk_and_lst : list expr → expr := mk_op_lst `(and) `(true)
/-- `mk_or_lst [x1, x2, ...]` is defined as `x1 ∨ (x2 ∨ ...)`, or `false` if the list is empty. -/
meta def mk_or_lst : list expr → expr := mk_op_lst `(or) `(false)
/-- `local_binding_info e` returns the binding info of `e` if `e` is a local constant.
Otherwise returns `binder_info.default`. -/
meta def local_binding_info : expr → binder_info
| (expr.local_const _ _ bi _) := bi
| _ := binder_info.default
/-- `is_default_local e` tests whether `e` is a local constant with binder info
`binder_info.default` -/
meta def is_default_local : expr → bool
| (expr.local_const _ _ binder_info.default _) := tt
| _ := ff
/-- `has_local_constant e l` checks whether local constant `l` occurs in expression `e` -/
meta def has_local_constant (e l : expr) : bool :=
e.has_local_in $ mk_name_set.insert l.local_uniq_name
/-- Turns a local constant into a binder -/
meta def to_binder : expr → binder
| (local_const _ nm bi t) := ⟨nm, bi, t⟩
| _ := default binder
/-- Strip-away the context-dependent unique id for the given local const and return: its friendly
`name`, its `binder_info`, and its `type : expr`. -/
meta def get_local_const_kind : expr → name × binder_info × expr
| (expr.local_const _ n bi e) := (n, bi, e)
| _ := (name.anonymous, binder_info.default, expr.const name.anonymous [])
/-- `local_const_set_type e t` sets the type of `e` to `t`, if `e` is a `local_const`. -/
meta def local_const_set_type {elab : bool} : expr elab → expr elab → expr elab
| (expr.local_const x n bi t) new_t := expr.local_const x n bi new_t
| e new_t := e
/-- `unsafe_cast e` freely changes the `elab : bool` parameter of the passed `expr`. Mainly used to
access core `expr` manipulation functions for `pexpr`-based use, but which are restricted to
`expr tt` at the site of definition unnecessarily.
DANGER: Unless you know exactly what you are doing, this is probably not the function you are
looking for. For `pexpr → expr` see `tactic.to_expr`. For `expr → pexpr` see `to_pexpr`. -/
meta def unsafe_cast {elab₁ elab₂ : bool} : expr elab₁ → expr elab₂ := unchecked_cast
/-- `replace_subexprs e mappings` takes an `e : expr` and interprets a `list (expr × expr)` as
a collection of rules for variable replacements. A pair `(f, t)` encodes a rule which says "whenever
`f` is encountered in `e` verbatim, replace it with `t`". -/
meta def replace_subexprs {elab : bool} (e : expr elab) (mappings : list (expr × expr)) : expr elab :=
unsafe_cast $ e.unsafe_cast.replace $ λ e n,
(mappings.filter $ λ ent : expr × expr, ent.1 = e).head'.map prod.snd
/-- `is_implicitly_included_variable e vs` accepts `e`, an `expr.local_const`, and a list `vs` of
other `expr.local_const`s. It determines whether `e` should be considered "available in context"
as a variable by virtue of the fact that the variables `vs` have been deemed such.
For example, given `variables (n : ℕ) [prime n] [ih : even n]`, a reference to `n` implies that
the typeclass instance `prime n` should be included, but `ih : even n` should not.
DANGER: It is possible that for `f : expr` another `expr.local_const`, we have
`is_implicitly_included_variable f vs = ff` but
`is_implicitly_included_variable f (e :: vs) = tt`. This means that one usually wants to
iteratively add a list of local constants (usually, the `variables` declared in the local scope)
which satisfy `is_implicitly_included_variable` to an initial `vs`, repeating if any variables
were added in a particular iteration. The function `all_implicitly_included_variables` below
implements this behaviour.
Note that if `e ∈ vs` then `is_implicitly_included_variable e vs = tt`. -/
meta def is_implicitly_included_variable (e : expr) (vs : list expr) : bool :=
if ¬(e.local_pp_name.to_string.starts_with "_") then
e ∈ vs
else e.local_type.fold tt $ λ se _ b,
if ¬b then ff
else if ¬se.is_local_constant then tt
else se ∈ vs
/-- Private work function for `all_implicitly_included_variables`, performing the actual series of
iterations, tracking with a boolean whether any updates occured this iteration. -/
private meta def all_implicitly_included_variables_aux
: list expr → list expr → list expr → bool → list expr
| [] vs rs tt := all_implicitly_included_variables_aux rs vs [] ff
| [] vs rs ff := vs
| (e :: rest) vs rs b :=
let (vs, rs, b) := if e.is_implicitly_included_variable vs then (e :: vs, rs, tt) else (vs, e :: rs, b) in
all_implicitly_included_variables_aux rest vs rs b
/-- `all_implicitly_included_variables es vs` accepts `es`, a list of `expr.local_const`, and `vs`,
another such list. It returns a list of all variables `e` in `es` or `vs` for which an inclusion
of the variables in `vs` into the local context implies that `e` should also be included. See
`is_implicitly_included_variable e vs` for the details.
In particular, those elements of `vs` are included automatically. -/
meta def all_implicitly_included_variables (es vs : list expr) : list expr :=
all_implicitly_included_variables_aux es vs [] ff
end expr
/-! ### Declarations about `environment` -/
namespace environment
/-- Tests whether `n` is a structure. -/
meta def is_structure (env : environment) (n : name) : bool :=
(env.structure_fields n).is_some
/-- Get the full names of all projections of the structure `n`. Returns `none` if `n` is not a
structure. -/
meta def structure_fields_full (env : environment) (n : name) : option (list name) :=
(env.structure_fields n).map (list.map $ λ n', n ++ n')
/-- Tests whether `nm` is a generalized inductive type that is not a normal inductive type.
Note that `is_ginductive` returns `tt` even on regular inductive types.
This returns `tt` if `nm` is (part of a) mutually defined inductive type or a nested inductive
type. -/
meta def is_ginductive' (e : environment) (nm : name) : bool :=
e.is_ginductive nm ∧ ¬ e.is_inductive nm
/-- For all declarations `d` where `f d = some x` this adds `x` to the returned list. -/
meta def decl_filter_map {α : Type} (e : environment) (f : declaration → option α) : list α :=
e.fold [] $ λ d l, match f d with
| some r := r :: l
| none := l
end
/-- Maps `f` to all declarations in the environment. -/
meta def decl_map {α : Type} (e : environment) (f : declaration → α) : list α :=
e.decl_filter_map $ λ d, some (f d)
/-- Lists all declarations in the environment -/
meta def get_decls (e : environment) : list declaration :=
e.decl_map id
/-- Lists all trusted (non-meta) declarations in the environment -/
meta def get_trusted_decls (e : environment) : list declaration :=
e.decl_filter_map (λ d, if d.is_trusted then some d else none)
/-- Lists the name of all declarations in the environment -/
meta def get_decl_names (e : environment) : list name :=
e.decl_map declaration.to_name
/-- Fold a monad over all declarations in the environment. -/
meta def mfold {α : Type} {m : Type → Type} [monad m] (e : environment) (x : α)
(fn : declaration → α → m α) : m α :=
e.fold (return x) (λ d t, t >>= fn d)
/-- Filters all declarations in the environment. -/
meta def filter (e : environment) (test : declaration → bool) : list declaration :=
e.fold [] $ λ d ds, if test d then d::ds else ds
/-- Filters all declarations in the environment. -/
meta def mfilter (e : environment) (test : declaration → tactic bool) : tactic (list declaration) :=
e.mfold [] $ λ d ds, do b ← test d, return $ if b then d::ds else ds
/-- Checks whether `s` is a prefix of the file where `n` is declared.
This is used to check whether `n` is declared in mathlib, where `s` is the mathlib directory. -/
meta def is_prefix_of_file (e : environment) (s : string) (n : name) : bool :=
s.is_prefix_of $ (e.decl_olean n).get_or_else ""
end environment
/-!
### `is_eta_expansion`
In this section we define the tactic `is_eta_expansion` which checks whether an expression
is an eta-expansion of a structure. (not to be confused with eta-expanion for `λ`).
-/
namespace expr
open tactic
/-- `is_eta_expansion_of args univs l` checks whether for all elements `(nm, pr)` in `l` we have
`pr = nm.{univs} args`.
Used in `is_eta_expansion`, where `l` consists of the projections and the fields of the value we
want to eta-reduce. -/
meta def is_eta_expansion_of (args : list expr) (univs : list level) (l : list (name × expr)) :
bool :=
l.all $ λ⟨proj, val⟩, val = (const proj univs).mk_app args
/-- `is_eta_expansion_test l` checks whether there is a list of expresions `args` such that for all
elements `(nm, pr)` in `l` we have `pr = nm args`. If so, returns the last element of `args`.
Used in `is_eta_expansion`, where `l` consists of the projections and the fields of the value we
want to eta-reduce. -/
meta def is_eta_expansion_test : list (name × expr) → option expr
| [] := none
| (⟨proj, val⟩::l) :=
match val.get_app_fn with
| (const nm univs : expr) :=
if nm = proj then
let args := val.get_app_args in
let e := args.ilast in
if is_eta_expansion_of args univs l then some e else none
else
none
| _ := none
end
/-- `is_eta_expansion_aux val l` checks whether `val` can be eta-reduced to an expression `e`.
Here `l` is intended to consists of the projections and the fields of `val`.
This tactic calls `is_eta_expansion_test l`, but first removes all proofs from the list `l` and
afterward checks whether the resulting expression `e` unifies with `val`.
This last check is necessary, because `val` and `e` might have different types. -/
meta def is_eta_expansion_aux (val : expr) (l : list (name × expr)) : tactic (option expr) :=
do l' ← l.mfilter (λ⟨proj, val⟩, bnot <$> is_proof val),
match is_eta_expansion_test l' with
| some e := option.map (λ _, e) <$> try_core (unify e val)
| none := return none
end
/-- `is_eta_expansion val` checks whether there is an expression `e` such that `val` is the
eta-expansion of `e`.
With eta-expansion we here mean the eta-expansion of a structure, not of a function.
For example, the eta-expansion of `x : α × β` is `⟨x.1, x.2⟩`.
This assumes that `val` is a fully-applied application of the constructor of a structure.
This is useful to reduce expressions generated by the notation
`{ field_1 := _, ..other_structure }`
If `other_structure` is itself a field of the structure, then the elaborator will insert an
eta-expanded version of `other_structure`. -/
meta def is_eta_expansion (val : expr) : tactic (option expr) := do
e ← get_env,
type ← infer_type val,
projs ← e.structure_fields_full type.get_app_fn.const_name,
let args := (val.get_app_args).drop type.get_app_args.length,
is_eta_expansion_aux val (projs.zip args)
end expr
/-! ### Declarations about `declaration` -/
namespace declaration
open tactic
/--
`declaration.update_with_fun f tgt decl`
sets the name of the given `decl : declaration` to `tgt`, and applies `f` to the names
of all `expr.const`s which appear in the value or type of `decl`.
-/
protected meta def update_with_fun (f : name → name) (tgt : name) (decl : declaration) :
declaration :=
let decl := decl.update_name $ tgt in
let decl := decl.update_type $ decl.type.apply_replacement_fun f in
decl.update_value $ decl.value.apply_replacement_fun f
/-- Checks whether the declaration is declared in the current file.
This is a simple wrapper around `environment.in_current_file`
Use `environment.in_current_file` instead if performance matters. -/
meta def in_current_file (d : declaration) : tactic bool :=
do e ← get_env, return $ e.in_current_file d.to_name
/-- Checks whether a declaration is a theorem -/
meta def is_theorem : declaration → bool
| (thm _ _ _ _) := tt
| _ := ff
/-- Checks whether a declaration is a constant -/
meta def is_constant : declaration → bool
| (cnst _ _ _ _) := tt
| _ := ff
/-- Checks whether a declaration is a axiom -/
meta def is_axiom : declaration → bool
| (ax _ _ _) := tt
| _ := ff
/-- Checks whether a declaration is automatically generated in the environment.
There is no cheap way to check whether a declaration in the namespace of a generalized
inductive type is automatically generated, so for now we say that all of them are automatically
generated. -/
meta def is_auto_generated (e : environment) (d : declaration) : bool :=
e.is_constructor d.to_name ∨
(e.is_projection d.to_name).is_some ∨
(e.is_constructor d.to_name.get_prefix ∧
d.to_name.last ∈ ["inj", "inj_eq", "sizeof_spec", "inj_arrow"]) ∨
(e.is_inductive d.to_name.get_prefix ∧
d.to_name.last ∈ ["below", "binduction_on", "brec_on", "cases_on", "dcases_on", "drec_on", "drec",
"rec", "rec_on", "no_confusion", "no_confusion_type", "sizeof", "ibelow", "has_sizeof_inst"]) ∨
d.to_name.has_prefix (λ nm, e.is_ginductive' nm)
/--
Returns true iff `d` is an automatically-generated or internal declaration.
-/
meta def is_auto_or_internal (env : environment) (d : declaration) : bool :=
d.to_name.is_internal || d.is_auto_generated env
/-- Returns the list of universe levels of a declaration. -/
meta def univ_levels (d : declaration) : list level :=
d.univ_params.map level.param
/-- Returns the `reducibility_hints` field of a `defn`, and `reducibility_hints.opaque` otherwise -/
protected meta def reducibility_hints : declaration → reducibility_hints
| (declaration.defn _ _ _ _ red _) := red
| _ := _root_.reducibility_hints.opaque
/-- formats the arguments of a `declaration.thm` -/
private meta def print_thm (nm : name) (tp : expr) (body : task expr) : tactic format :=
do tp ← pp tp, body ← pp body.get,
return $ "<theorem " ++ to_fmt nm ++ " : " ++ tp ++ " := " ++ body ++ ">"
/-- formats the arguments of a `declaration.defn` -/
private meta def print_defn (nm : name) (tp : expr) (body : expr) (is_trusted : bool) :
tactic format :=
do tp ← pp tp, body ← pp body,
return $ "<" ++ (if is_trusted then "def " else "meta def ") ++ to_fmt nm ++ " : " ++ tp ++ " := "
++ body ++ ">"
/-- formats the arguments of a `declaration.cnst` -/
private meta def print_cnst (nm : name) (tp : expr) (is_trusted : bool) : tactic format :=
do tp ← pp tp,
return $ "<" ++ (if is_trusted then "constant " else "meta constant ") ++ to_fmt nm ++ " : "
++ tp ++ ">"
/-- formats the arguments of a `declaration.ax` -/
private meta def print_ax (nm : name) (tp : expr) : tactic format :=
do tp ← pp tp,
return $ "<axiom " ++ to_fmt nm ++ " : " ++ tp ++ ">"
/-- pretty-prints a `declaration` object. -/
meta def to_tactic_format : declaration → tactic format
| (declaration.thm nm _ tp bd) := print_thm nm tp bd
| (declaration.defn nm _ tp bd _ is_trusted) := print_defn nm tp bd is_trusted
| (declaration.cnst nm _ tp is_trusted) := print_cnst nm tp is_trusted
| (declaration.ax nm _ tp) := print_ax nm tp
meta instance : has_to_tactic_format declaration :=
⟨to_tactic_format⟩
end declaration
meta instance pexpr.decidable_eq {elab} : decidable_eq (expr elab) :=
unchecked_cast
expr.has_decidable_eq
|
86cdeaf593ecd78473204d4200f203bfe8e85d5c | 22e97a5d648fc451e25a06c668dc03ac7ed7bc25 | /src/topology/uniform_space/basic.lean | 6654959019198b4674323e489534615bb935252c | [
"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 | 49,262 | lean | /-
Copyright (c) 2017 Johannes Hölzl. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Johannes Hölzl, Mario Carneiro, Patrick Massot
Theory of uniform spaces.
Uniform spaces are a generalization of metric spaces and topological groups. Many concepts directly
generalize to uniform spaces, e.g.
* completeness
* extension of uniform continuous functions to complete spaces
* uniform contiunuity & embedding
* totally bounded
* totally bounded ∧ complete → compact
The central concept of uniform spaces is its uniformity: a filter relating two elements of the
space. This filter is reflexive, symmetric and transitive. So a set (i.e. a relation) in this filter
represents a 'distance': it is reflexive, symmetric and the uniformity contains a set for which the
`triangular` rule holds.
The formalization is mostly based on the books:
N. Bourbaki: General Topology
I. M. James: Topologies and Uniformities
A major difference is that this formalization is heavily based on the filter library.
-/
import order.filter.lift
import topology.separation
open set filter classical
open_locale classical topological_space
set_option eqn_compiler.zeta true
universes u
section
variables {α : Type*} {β : Type*} {γ : Type*} {δ : Type*} {ι : Sort*}
/-- The identity relation, or the graph of the identity function -/
def id_rel {α : Type*} := {p : α × α | p.1 = p.2}
@[simp] theorem mem_id_rel {a b : α} : (a, b) ∈ @id_rel α ↔ a = b := iff.rfl
@[simp] theorem id_rel_subset {s : set (α × α)} : id_rel ⊆ s ↔ ∀ a, (a, a) ∈ s :=
by simp [subset_def]; exact forall_congr (λ a, by simp)
/-- The composition of relations -/
def comp_rel {α : Type u} (r₁ r₂ : set (α×α)) := {p : α × α | ∃z:α, (p.1, z) ∈ r₁ ∧ (z, p.2) ∈ r₂}
@[simp] theorem mem_comp_rel {r₁ r₂ : set (α×α)}
{x y : α} : (x, y) ∈ comp_rel r₁ r₂ ↔ ∃ z, (x, z) ∈ r₁ ∧ (z, y) ∈ r₂ := iff.rfl
@[simp] theorem swap_id_rel : prod.swap '' id_rel = @id_rel α :=
set.ext $ assume ⟨a, b⟩, by simp [image_swap_eq_preimage_swap]; exact eq_comm
theorem monotone_comp_rel [preorder β] {f g : β → set (α×α)}
(hf : monotone f) (hg : monotone g) : monotone (λx, comp_rel (f x) (g x)) :=
assume a b h p ⟨z, h₁, h₂⟩, ⟨z, hf h h₁, hg h h₂⟩
lemma prod_mk_mem_comp_rel {a b c : α} {s t : set (α×α)} (h₁ : (a, c) ∈ s) (h₂ : (c, b) ∈ t) :
(a, b) ∈ comp_rel s t :=
⟨c, h₁, h₂⟩
@[simp] lemma id_comp_rel {r : set (α×α)} : comp_rel id_rel r = r :=
set.ext $ assume ⟨a, b⟩, by simp
lemma comp_rel_assoc {r s t : set (α×α)} :
comp_rel (comp_rel r s) t = comp_rel r (comp_rel s t) :=
by ext p; cases p; simp only [mem_comp_rel]; tauto
/-- This core description of a uniform space is outside of the type class hierarchy. It is useful
for constructions of uniform spaces, when the topology is derived from the uniform space. -/
structure uniform_space.core (α : Type u) :=
(uniformity : filter (α × α))
(refl : principal id_rel ≤ uniformity)
(symm : tendsto prod.swap uniformity uniformity)
(comp : uniformity.lift' (λs, comp_rel s s) ≤ uniformity)
/-- An alternative constructor for `uniform_space.core`. This version unfolds various
`filter`-related definitions. -/
def uniform_space.core.mk' {α : Type u} (U : filter (α × α))
(refl : ∀ (r ∈ U) x, (x, x) ∈ r)
(symm : ∀ r ∈ U, {p | prod.swap p ∈ r} ∈ U)
(comp : ∀ r ∈ U, ∃ t ∈ U, comp_rel t t ⊆ r) : uniform_space.core α :=
⟨U, λ r ru, id_rel_subset.2 (refl _ ru), symm,
begin
intros r ru,
rw [mem_lift'_sets],
exact comp _ ru,
apply monotone_comp_rel; exact monotone_id,
end⟩
/-- A uniform space generates a topological space -/
def uniform_space.core.to_topological_space {α : Type u} (u : uniform_space.core α) :
topological_space α :=
{ is_open := λs, ∀x∈s, { p : α × α | p.1 = x → p.2 ∈ s } ∈ u.uniformity,
is_open_univ := by simp; intro; exact univ_mem_sets,
is_open_inter :=
assume s t hs ht x ⟨xs, xt⟩, by filter_upwards [hs x xs, ht x xt]; simp {contextual := tt},
is_open_sUnion :=
assume s hs x ⟨t, ts, xt⟩, by filter_upwards [hs t ts x xt] assume p ph h, ⟨t, ts, ph h⟩ }
lemma uniform_space.core_eq : ∀{u₁ u₂ : uniform_space.core α}, u₁.uniformity = u₂.uniformity → u₁ = u₂
| ⟨u₁, _, _, _⟩ ⟨u₂, _, _, _⟩ h := have u₁ = u₂, from h, by simp [*]
section prio
set_option default_priority 100 -- see Note [default priority]
/-- A uniform space is a generalization of the "uniform" topological aspects of a
metric space. It consists of a filter on `α × α` called the "uniformity", which
satisfies properties analogous to the reflexivity, symmetry, and triangle properties
of a metric.
A metric space has a natural uniformity, and a uniform space has a natural topology.
A topological group also has a natural uniformity, even when it is not metrizable. -/
class uniform_space (α : Type u) extends topological_space α, uniform_space.core α :=
(is_open_uniformity : ∀s, is_open s ↔ (∀x∈s, { p : α × α | p.1 = x → p.2 ∈ s } ∈ uniformity))
end prio
@[pattern] def uniform_space.mk' {α} (t : topological_space α)
(c : uniform_space.core α)
(is_open_uniformity : ∀s:set α, t.is_open s ↔
(∀x∈s, { p : α × α | p.1 = x → p.2 ∈ s } ∈ c.uniformity)) :
uniform_space α := ⟨c, is_open_uniformity⟩
/-- Construct a `uniform_space` from a `uniform_space.core`. -/
def uniform_space.of_core {α : Type u} (u : uniform_space.core α) : uniform_space α :=
{ to_core := u,
to_topological_space := u.to_topological_space,
is_open_uniformity := assume a, iff.rfl }
/-- Construct a `uniform_space` from a `u : uniform_space.core` and a `topological_space` structure
that is equal to `u.to_topological_space`. -/
def uniform_space.of_core_eq {α : Type u} (u : uniform_space.core α) (t : topological_space α)
(h : t = u.to_topological_space) : uniform_space α :=
{ to_core := u,
to_topological_space := t,
is_open_uniformity := assume a, h.symm ▸ iff.rfl }
lemma uniform_space.to_core_to_topological_space (u : uniform_space α) :
u.to_core.to_topological_space = u.to_topological_space :=
topological_space_eq $ funext $ assume s,
by rw [uniform_space.core.to_topological_space, uniform_space.is_open_uniformity]
@[ext]
lemma uniform_space_eq : ∀{u₁ u₂ : uniform_space α}, u₁.uniformity = u₂.uniformity → u₁ = u₂
| (uniform_space.mk' t₁ u₁ o₁) (uniform_space.mk' t₂ u₂ o₂) h :=
have u₁ = u₂, from uniform_space.core_eq h,
have t₁ = t₂, from topological_space_eq $ funext $ assume s, by rw [o₁, o₂]; simp [this],
by simp [*]
lemma uniform_space.of_core_eq_to_core
(u : uniform_space α) (t : topological_space α) (h : t = u.to_core.to_topological_space) :
uniform_space.of_core_eq u.to_core t h = u :=
uniform_space_eq rfl
section uniform_space
variables [uniform_space α]
/-- The uniformity is a filter on α × α (inferred from an ambient uniform space
structure on α). -/
def uniformity (α : Type u) [uniform_space α] : filter (α × α) :=
(@uniform_space.to_core α _).uniformity
localized "notation `𝓤` := uniformity" in uniformity
lemma is_open_uniformity {s : set α} :
is_open s ↔ (∀x∈s, { p : α × α | p.1 = x → p.2 ∈ s } ∈ 𝓤 α) :=
uniform_space.is_open_uniformity s
lemma refl_le_uniformity : principal id_rel ≤ 𝓤 α :=
(@uniform_space.to_core α _).refl
lemma refl_mem_uniformity {x : α} {s : set (α × α)} (h : s ∈ 𝓤 α) :
(x, x) ∈ s :=
refl_le_uniformity h rfl
lemma symm_le_uniformity : map (@prod.swap α α) (𝓤 _) ≤ (𝓤 _) :=
(@uniform_space.to_core α _).symm
lemma comp_le_uniformity : (𝓤 α).lift' (λs:set (α×α), comp_rel s s) ≤ 𝓤 α :=
(@uniform_space.to_core α _).comp
lemma tendsto_swap_uniformity : tendsto (@prod.swap α α) (𝓤 α) (𝓤 α) :=
symm_le_uniformity
lemma comp_mem_uniformity_sets {s : set (α × α)} (hs : s ∈ 𝓤 α) :
∃ t ∈ 𝓤 α, comp_rel t t ⊆ s :=
have s ∈ (𝓤 α).lift' (λt:set (α×α), comp_rel t t),
from comp_le_uniformity hs,
(mem_lift'_sets $ monotone_comp_rel monotone_id monotone_id).mp this
/-- Relation `λ f g, tendsto (λ x, (f x, g x)) l (𝓤 α)` is transitive. -/
lemma filter.tendsto.uniformity_trans {l : filter β} {f₁ f₂ f₃ : β → α}
(h₁₂ : tendsto (λ x, (f₁ x, f₂ x)) l (𝓤 α)) (h₂₃ : tendsto (λ x, (f₂ x, f₃ x)) l (𝓤 α)) :
tendsto (λ x, (f₁ x, f₃ x)) l (𝓤 α) :=
begin
refine le_trans (le_lift' $ λ s hs, mem_map.2 _) comp_le_uniformity,
filter_upwards [h₁₂ hs, h₂₃ hs],
exact λ x hx₁₂ hx₂₃, ⟨_, hx₁₂, hx₂₃⟩
end
/-- Relation `λ f g, tendsto (λ x, (f x, g x)) l (𝓤 α)` is symmetric -/
lemma filter.tendsto.uniformity_symm {l : filter β} {f : β → α × α}
(h : tendsto f l (𝓤 α)) :
tendsto (λ x, ((f x).2, (f x).1)) l (𝓤 α) :=
tendsto_swap_uniformity.comp h
/-- Relation `λ f g, tendsto (λ x, (f x, g x)) l (𝓤 α)` is reflexive. -/
lemma tendsto_diag_uniformity (f : β → α) (l : filter β) :
tendsto (λ x, (f x, f x)) l (𝓤 α) :=
assume s hs, mem_map.2 $ univ_mem_sets' $ λ x, refl_mem_uniformity hs
lemma tendsto_const_uniformity {a : α} {f : filter β} : tendsto (λ _, (a, a)) f (𝓤 α) :=
tendsto_diag_uniformity (λ _, a) f
lemma symm_of_uniformity {s : set (α × α)} (hs : s ∈ 𝓤 α) :
∃ t ∈ 𝓤 α, (∀a b, (a, b) ∈ t → (b, a) ∈ t) ∧ t ⊆ s :=
have preimage prod.swap s ∈ 𝓤 α, from symm_le_uniformity hs,
⟨s ∩ preimage prod.swap s, inter_mem_sets hs this, assume a b ⟨h₁, h₂⟩, ⟨h₂, h₁⟩, inter_subset_left _ _⟩
lemma comp_symm_of_uniformity {s : set (α × α)} (hs : s ∈ 𝓤 α) :
∃ t ∈ 𝓤 α, (∀{a b}, (a, b) ∈ t → (b, a) ∈ t) ∧ comp_rel t t ⊆ s :=
let ⟨t, ht₁, ht₂⟩ := comp_mem_uniformity_sets hs in
let ⟨t', ht', ht'₁, ht'₂⟩ := symm_of_uniformity ht₁ in
⟨t', ht', ht'₁, subset.trans (monotone_comp_rel monotone_id monotone_id ht'₂) ht₂⟩
lemma uniformity_le_symm : 𝓤 α ≤ (@prod.swap α α) <$> 𝓤 α :=
by rw [map_swap_eq_comap_swap];
from map_le_iff_le_comap.1 tendsto_swap_uniformity
lemma uniformity_eq_symm : 𝓤 α = (@prod.swap α α) <$> 𝓤 α :=
le_antisymm uniformity_le_symm symm_le_uniformity
theorem uniformity_lift_le_swap {g : set (α×α) → filter β} {f : filter β} (hg : monotone g)
(h : (𝓤 α).lift (λs, g (preimage prod.swap s)) ≤ f) : (𝓤 α).lift g ≤ f :=
calc (𝓤 α).lift g ≤ (filter.map (@prod.swap α α) $ 𝓤 α).lift g :
lift_mono uniformity_le_symm (le_refl _)
... ≤ _ :
by rw [map_lift_eq2 hg, image_swap_eq_preimage_swap]; exact h
lemma uniformity_lift_le_comp {f : set (α×α) → filter β} (h : monotone f) :
(𝓤 α).lift (λs, f (comp_rel s s)) ≤ (𝓤 α).lift f :=
calc (𝓤 α).lift (λs, f (comp_rel s s)) =
((𝓤 α).lift' (λs:set (α×α), comp_rel s s)).lift f :
begin
rw [lift_lift'_assoc],
exact monotone_comp_rel monotone_id monotone_id,
exact h
end
... ≤ (𝓤 α).lift f : lift_mono comp_le_uniformity (le_refl _)
lemma comp_le_uniformity3 :
(𝓤 α).lift' (λs:set (α×α), comp_rel s (comp_rel s s)) ≤ (𝓤 α) :=
calc (𝓤 α).lift' (λd, comp_rel d (comp_rel d d)) =
(𝓤 α).lift (λs, (𝓤 α).lift' (λt:set(α×α), comp_rel s (comp_rel t t))) :
begin
rw [lift_lift'_same_eq_lift'],
exact (assume x, monotone_comp_rel monotone_const $ monotone_comp_rel monotone_id monotone_id),
exact (assume x, monotone_comp_rel monotone_id monotone_const),
end
... ≤ (𝓤 α).lift (λs, (𝓤 α).lift' (λt:set(α×α), comp_rel s t)) :
lift_mono' $ assume s hs, @uniformity_lift_le_comp α _ _ (principal ∘ comp_rel s) $
monotone_principal.comp (monotone_comp_rel monotone_const monotone_id)
... = (𝓤 α).lift' (λs:set(α×α), comp_rel s s) :
lift_lift'_same_eq_lift'
(assume s, monotone_comp_rel monotone_const monotone_id)
(assume s, monotone_comp_rel monotone_id monotone_const)
... ≤ (𝓤 α) : comp_le_uniformity
lemma filter.has_basis.mem_uniformity_iff {p : β → Prop} {s : β → set (α×α)}
(h : (𝓤 α).has_basis p s) {t : set (α × α)} :
t ∈ 𝓤 α ↔ ∃ i (hi : p i), ∀ a b, (a, b) ∈ s i → (a, b) ∈ t :=
h.mem_iff.trans $ by simp only [prod.forall, subset_def]
lemma mem_nhds_uniformity_iff_right {x : α} {s : set α} :
s ∈ 𝓝 x ↔ {p : α × α | p.1 = x → p.2 ∈ s} ∈ 𝓤 α :=
⟨ begin
simp only [mem_nhds_sets_iff, is_open_uniformity, and_imp, exists_imp_distrib],
exact assume t ts ht xt, by filter_upwards [ht x xt] assume ⟨x', y⟩ h eq, ts $ h eq
end,
assume hs,
mem_nhds_sets_iff.mpr ⟨{x | {p : α × α | p.1 = x → p.2 ∈ s} ∈ 𝓤 α},
assume x' hx', refl_mem_uniformity hx' rfl,
is_open_uniformity.mpr $ assume x' hx',
let ⟨t, ht, tr⟩ := comp_mem_uniformity_sets hx' in
by filter_upwards [ht] assume ⟨a, b⟩ hp' (hax' : a = x'),
by filter_upwards [ht] assume ⟨a, b'⟩ hp'' (hab : a = b),
have hp : (x', b) ∈ t, from hax' ▸ hp',
have (b, b') ∈ t, from hab ▸ hp'',
have (x', b') ∈ comp_rel t t, from ⟨b, hp, this⟩,
show b' ∈ s,
from tr this rfl,
hs⟩⟩
lemma mem_nhds_uniformity_iff_left {x : α} {s : set α} :
s ∈ 𝓝 x ↔ {p : α × α | p.2 = x → p.1 ∈ s} ∈ 𝓤 α :=
by { rw [uniformity_eq_symm, mem_nhds_uniformity_iff_right], refl }
lemma nhds_eq_comap_uniformity {x : α} : 𝓝 x = (𝓤 α).comap (prod.mk x) :=
by ext s; rw [mem_nhds_uniformity_iff_right, mem_comap_sets]; from iff.intro
(assume hs, ⟨_, hs, assume x hx, hx rfl⟩)
(assume ⟨t, h, ht⟩, (𝓤 α).sets_of_superset h $
assume ⟨p₁, p₂⟩ hp (h : p₁ = x), ht $ by simp [h.symm, hp])
lemma nhds_basis_uniformity' {p : β → Prop} {s : β → set (α × α)} (h : (𝓤 α).has_basis p s) {x : α} :
(𝓝 x).has_basis p (λ i, {y | (x, y) ∈ s i}) :=
by { rw [nhds_eq_comap_uniformity], exact h.comap (prod.mk x) }
lemma nhds_basis_uniformity {p : β → Prop} {s : β → set (α × α)} (h : (𝓤 α).has_basis p s) {x : α} :
(𝓝 x).has_basis p (λ i, {y | (y, x) ∈ s i}) :=
begin
replace h := h.comap prod.swap,
rw [← map_swap_eq_comap_swap, ← uniformity_eq_symm] at h,
exact nhds_basis_uniformity' h
end
lemma nhds_eq_uniformity {x : α} : 𝓝 x = (𝓤 α).lift' (λs:set (α×α), {y | (x, y) ∈ s}) :=
(nhds_basis_uniformity' (𝓤 α).basis_sets).eq_binfi
lemma mem_nhds_left (x : α) {s : set (α×α)} (h : s ∈ 𝓤 α) :
{y : α | (x, y) ∈ s} ∈ 𝓝 x :=
(nhds_basis_uniformity' (𝓤 α).basis_sets).mem_of_mem h
lemma mem_nhds_right (y : α) {s : set (α×α)} (h : s ∈ 𝓤 α) :
{x : α | (x, y) ∈ s} ∈ 𝓝 y :=
mem_nhds_left _ (symm_le_uniformity h)
lemma tendsto_right_nhds_uniformity {a : α} : tendsto (λa', (a', a)) (𝓝 a) (𝓤 α) :=
assume s, mem_nhds_right a
lemma tendsto_left_nhds_uniformity {a : α} : tendsto (λa', (a, a')) (𝓝 a) (𝓤 α) :=
assume s, mem_nhds_left a
lemma lift_nhds_left {x : α} {g : set α → filter β} (hg : monotone g) :
(𝓝 x).lift g = (𝓤 α).lift (λs:set (α×α), g {y | (x, y) ∈ s}) :=
eq.trans
begin
rw [nhds_eq_uniformity],
exact (filter.lift_assoc $ monotone_principal.comp $ monotone_preimage.comp monotone_preimage )
end
(congr_arg _ $ funext $ assume s, filter.lift_principal hg)
lemma lift_nhds_right {x : α} {g : set α → filter β} (hg : monotone g) :
(𝓝 x).lift g = (𝓤 α).lift (λs:set (α×α), g {y | (y, x) ∈ s}) :=
calc (𝓝 x).lift g = (𝓤 α).lift (λs:set (α×α), g {y | (x, y) ∈ s}) : lift_nhds_left hg
... = ((@prod.swap α α) <$> (𝓤 α)).lift (λs:set (α×α), g {y | (x, y) ∈ s}) : by rw [←uniformity_eq_symm]
... = (𝓤 α).lift (λs:set (α×α), g {y | (x, y) ∈ image prod.swap s}) :
map_lift_eq2 $ hg.comp monotone_preimage
... = _ : by simp [image_swap_eq_preimage_swap]
lemma nhds_nhds_eq_uniformity_uniformity_prod {a b : α} :
filter.prod (𝓝 a) (𝓝 b) =
(𝓤 α).lift (λs:set (α×α), (𝓤 α).lift' (λt:set (α×α),
set.prod {y : α | (y, a) ∈ s} {y : α | (b, y) ∈ t})) :=
begin
rw [prod_def],
show (𝓝 a).lift (λs:set α, (𝓝 b).lift (λt:set α, principal (set.prod s t))) = _,
rw [lift_nhds_right],
apply congr_arg, funext s,
rw [lift_nhds_left],
refl,
exact monotone_principal.comp (monotone_prod monotone_const monotone_id),
exact (monotone_lift' monotone_const $ monotone_lam $
assume x, monotone_prod monotone_id monotone_const)
end
lemma nhds_eq_uniformity_prod {a b : α} :
𝓝 (a, b) =
(𝓤 α).lift' (λs:set (α×α), set.prod {y : α | (y, a) ∈ s} {y : α | (b, y) ∈ s}) :=
begin
rw [nhds_prod_eq, nhds_nhds_eq_uniformity_uniformity_prod, lift_lift'_same_eq_lift'],
{ intro s, exact monotone_prod monotone_const monotone_preimage },
{ intro t, exact monotone_prod monotone_preimage monotone_const }
end
lemma nhdset_of_mem_uniformity {d : set (α×α)} (s : set (α×α)) (hd : d ∈ 𝓤 α) :
∃(t : set (α×α)), is_open t ∧ s ⊆ t ∧ t ⊆ {p | ∃x y, (p.1, x) ∈ d ∧ (x, y) ∈ s ∧ (y, p.2) ∈ d} :=
let cl_d := {p:α×α | ∃x y, (p.1, x) ∈ d ∧ (x, y) ∈ s ∧ (y, p.2) ∈ d} in
have ∀p ∈ s, ∃t ⊆ cl_d, is_open t ∧ p ∈ t, from
assume ⟨x, y⟩ hp, mem_nhds_sets_iff.mp $
show cl_d ∈ 𝓝 (x, y),
begin
rw [nhds_eq_uniformity_prod, mem_lift'_sets],
exact ⟨d, hd, assume ⟨a, b⟩ ⟨ha, hb⟩, ⟨x, y, ha, hp, hb⟩⟩,
exact monotone_prod monotone_preimage monotone_preimage
end,
have ∃t:(Π(p:α×α) (h:p ∈ s), set (α×α)),
∀p, ∀h:p ∈ s, t p h ⊆ cl_d ∧ is_open (t p h) ∧ p ∈ t p h,
by simp [classical.skolem] at this; simp; assumption,
match this with
| ⟨t, ht⟩ :=
⟨(⋃ p:α×α, ⋃ h : p ∈ s, t p h : set (α×α)),
is_open_Union $ assume (p:α×α), is_open_Union $ assume hp, (ht p hp).right.left,
assume ⟨a, b⟩ hp, begin simp; exact ⟨a, b, hp, (ht (a,b) hp).right.right⟩ end,
Union_subset $ assume p, Union_subset $ assume hp, (ht p hp).left⟩
end
lemma closure_eq_inter_uniformity {t : set (α×α)} :
closure t = (⋂ d ∈ 𝓤 α, comp_rel d (comp_rel t d)) :=
set.ext $ assume ⟨a, b⟩,
calc (a, b) ∈ closure t ↔ (𝓝 (a, b) ⊓ principal t ≠ ⊥) : by simp [closure_eq_nhds]
... ↔ (((@prod.swap α α) <$> 𝓤 α).lift'
(λ (s : set (α × α)), set.prod {x : α | (x, a) ∈ s} {y : α | (b, y) ∈ s}) ⊓ principal t ≠ ⊥) :
by rw [←uniformity_eq_symm, nhds_eq_uniformity_prod]
... ↔ ((map (@prod.swap α α) (𝓤 α)).lift'
(λ (s : set (α × α)), set.prod {x : α | (x, a) ∈ s} {y : α | (b, y) ∈ s}) ⊓ principal t ≠ ⊥) :
by refl
... ↔ ((𝓤 α).lift'
(λ (s : set (α × α)), set.prod {y : α | (a, y) ∈ s} {x : α | (x, b) ∈ s}) ⊓ principal t ≠ ⊥) :
begin
rw [map_lift'_eq2],
simp [image_swap_eq_preimage_swap, function.comp],
exact monotone_prod monotone_preimage monotone_preimage
end
... ↔ (∀s ∈ 𝓤 α, (set.prod {y : α | (a, y) ∈ s} {x : α | (x, b) ∈ s} ∩ t).nonempty) :
begin
rw [lift'_inf_principal_eq, lift'_ne_bot_iff],
exact monotone_inter (monotone_prod monotone_preimage monotone_preimage) monotone_const
end
... ↔ (∀ s ∈ 𝓤 α, (a, b) ∈ comp_rel s (comp_rel t s)) :
forall_congr $ assume s, forall_congr $ assume hs,
⟨assume ⟨⟨x, y⟩, ⟨⟨hx, hy⟩, hxyt⟩⟩, ⟨x, hx, y, hxyt, hy⟩,
assume ⟨x, hx, y, hxyt, hy⟩, ⟨⟨x, y⟩, ⟨⟨hx, hy⟩, hxyt⟩⟩⟩
... ↔ _ : by simp
lemma uniformity_eq_uniformity_closure : 𝓤 α = (𝓤 α).lift' closure :=
le_antisymm
(le_infi $ assume s, le_infi $ assume hs, by simp; filter_upwards [hs] subset_closure)
(calc (𝓤 α).lift' closure ≤ (𝓤 α).lift' (λd, comp_rel d (comp_rel d d)) :
lift'_mono' (by intros s hs; rw [closure_eq_inter_uniformity]; exact bInter_subset_of_mem hs)
... ≤ (𝓤 α) : comp_le_uniformity3)
lemma uniformity_eq_uniformity_interior : 𝓤 α = (𝓤 α).lift' interior :=
le_antisymm
(le_infi $ assume d, le_infi $ assume hd,
let ⟨s, hs, hs_comp⟩ := (mem_lift'_sets $
monotone_comp_rel monotone_id $ monotone_comp_rel monotone_id monotone_id).mp (comp_le_uniformity3 hd) in
let ⟨t, ht, hst, ht_comp⟩ := nhdset_of_mem_uniformity s hs in
have s ⊆ interior d, from
calc s ⊆ t : hst
... ⊆ interior d : (subset_interior_iff_subset_of_open ht).mpr $
assume x, assume : x ∈ t, let ⟨x, y, h₁, h₂, h₃⟩ := ht_comp this in hs_comp ⟨x, h₁, y, h₂, h₃⟩,
have interior d ∈ 𝓤 α, by filter_upwards [hs] this,
by simp [this])
(assume s hs, ((𝓤 α).lift' interior).sets_of_superset (mem_lift' hs) interior_subset)
lemma interior_mem_uniformity {s : set (α × α)} (hs : s ∈ 𝓤 α) :
interior s ∈ 𝓤 α :=
by rw [uniformity_eq_uniformity_interior]; exact mem_lift' hs
lemma mem_uniformity_is_closed {s : set (α×α)} (h : s ∈ 𝓤 α) :
∃t ∈ 𝓤 α, is_closed t ∧ t ⊆ s :=
have s ∈ (𝓤 α).lift' closure, by rwa [uniformity_eq_uniformity_closure] at h,
have ∃ t ∈ 𝓤 α, closure t ⊆ s,
by rwa [mem_lift'_sets] at this; apply closure_mono,
let ⟨t, ht, hst⟩ := this in
⟨closure t, (𝓤 α).sets_of_superset ht subset_closure, is_closed_closure, hst⟩
/-! ### Uniform continuity -/
/-- A function `f : α → β` is *uniformly continuous* if `(f x, f y)` tends to the diagonal
as `(x, y)` tends to the diagonal. In other words, if `x` is sufficiently close to `y`, then
`f x` is close to `f y` no matter where `x` and `y` are located in `α`. -/
def uniform_continuous [uniform_space β] (f : α → β) :=
tendsto (λx:α×α, (f x.1, f x.2)) (𝓤 α) (𝓤 β)
theorem uniform_continuous_def [uniform_space β] {f : α → β} :
uniform_continuous f ↔ ∀ r ∈ 𝓤 β,
{x : α × α | (f x.1, f x.2) ∈ r} ∈ 𝓤 α :=
iff.rfl
lemma uniform_continuous_of_const [uniform_space β] {c : α → β} (h : ∀a b, c a = c b) :
uniform_continuous c :=
have (λ (x : α × α), (c (x.fst), c (x.snd))) ⁻¹' id_rel = univ, from
eq_univ_iff_forall.2 $ assume ⟨a, b⟩, h a b,
le_trans (map_le_iff_le_comap.2 $ by simp [comap_principal, this, univ_mem_sets]) refl_le_uniformity
lemma uniform_continuous_id : uniform_continuous (@id α) :=
by simp [uniform_continuous]; exact tendsto_id
lemma uniform_continuous_const [uniform_space β] {b : β} : uniform_continuous (λa:α, b) :=
uniform_continuous_of_const $ λ _ _, rfl
lemma uniform_continuous.comp [uniform_space β] [uniform_space γ] {g : β → γ} {f : α → β}
(hg : uniform_continuous g) (hf : uniform_continuous f) : uniform_continuous (g ∘ f) :=
hg.comp hf
lemma filter.has_basis.uniform_continuous_iff [uniform_space β] {p : γ → Prop} {s : γ → set (α×α)}
(ha : (𝓤 α).has_basis p s) {q : δ → Prop} {t : δ → set (β×β)} (hb : (𝓤 β).has_basis q t)
{f : α → β} :
uniform_continuous f ↔ ∀ i (hi : q i), ∃ j (hj : p j), ∀ x y, (x, y) ∈ s j → (f x, f y) ∈ t i :=
(ha.tendsto_iff hb).trans $ by simp only [prod.forall]
end uniform_space
end
open_locale uniformity
section constructions
variables {α : Type*} {β : Type*} {γ : Type*} {δ : Type*} {ι : Sort*}
instance : partial_order (uniform_space α) :=
{ le := λt s, t.uniformity ≤ s.uniformity,
le_antisymm := assume t s h₁ h₂, uniform_space_eq $ le_antisymm h₁ h₂,
le_refl := assume t, le_refl _,
le_trans := assume a b c h₁ h₂, le_trans h₁ h₂ }
instance : has_Inf (uniform_space α) :=
⟨assume s, uniform_space.of_core {
uniformity := (⨅u∈s, @uniformity α u),
refl := le_infi $ assume u, le_infi $ assume hu, u.refl,
symm := le_infi $ assume u, le_infi $ assume hu,
le_trans (map_mono $ infi_le_of_le _ $ infi_le _ hu) u.symm,
comp := le_infi $ assume u, le_infi $ assume hu,
le_trans (lift'_mono (infi_le_of_le _ $ infi_le _ hu) $ le_refl _) u.comp }⟩
private lemma Inf_le {tt : set (uniform_space α)} {t : uniform_space α} (h : t ∈ tt) :
Inf tt ≤ t :=
show (⨅u∈tt, @uniformity α u) ≤ t.uniformity,
from infi_le_of_le t $ infi_le _ h
private lemma le_Inf {tt : set (uniform_space α)} {t : uniform_space α} (h : ∀t'∈tt, t ≤ t') :
t ≤ Inf tt :=
show t.uniformity ≤ (⨅u∈tt, @uniformity α u),
from le_infi $ assume t', le_infi $ assume ht', h t' ht'
instance : has_top (uniform_space α) :=
⟨uniform_space.of_core { uniformity := ⊤, refl := le_top, symm := le_top, comp := le_top }⟩
instance : has_bot (uniform_space α) :=
⟨{ to_topological_space := ⊥,
uniformity := principal id_rel,
refl := le_refl _,
symm := by simp [tendsto]; apply subset.refl,
comp :=
begin
rw [lift'_principal], {simp},
exact monotone_comp_rel monotone_id monotone_id
end,
is_open_uniformity :=
assume s, by simp [is_open_fold, subset_def, id_rel] {contextual := tt } } ⟩
instance : complete_lattice (uniform_space α) :=
{ sup := λa b, Inf {x | a ≤ x ∧ b ≤ x},
le_sup_left := λ a b, le_Inf (λ _ ⟨h, _⟩, h),
le_sup_right := λ a b, le_Inf (λ _ ⟨_, h⟩, h),
sup_le := λ a b c h₁ h₂, Inf_le ⟨h₁, h₂⟩,
inf := λ a b, Inf {a, b},
le_inf := λ a b c h₁ h₂, le_Inf (λ u h,
by { cases h, exact h.symm ▸ h₁, exact (mem_singleton_iff.1 h).symm ▸ h₂ }),
inf_le_left := λ a b, Inf_le (by simp),
inf_le_right := λ a b, Inf_le (by simp),
top := ⊤,
le_top := λ a, show a.uniformity ≤ ⊤, from le_top,
bot := ⊥,
bot_le := λ u, u.refl,
Sup := λ tt, Inf {t | ∀ t' ∈ tt, t' ≤ t},
le_Sup := λ s u h, le_Inf (λ u' h', h' u h),
Sup_le := λ s u h, Inf_le h,
Inf := Inf,
le_Inf := λ s a hs, le_Inf hs,
Inf_le := λ s a ha, Inf_le ha,
..uniform_space.partial_order }
lemma infi_uniformity {ι : Sort*} {u : ι → uniform_space α} :
(infi u).uniformity = (⨅i, (u i).uniformity) :=
show (⨅a (h : ∃i:ι, u i = a), a.uniformity) = _, from
le_antisymm
(le_infi $ assume i, infi_le_of_le (u i) $ infi_le _ ⟨i, rfl⟩)
(le_infi $ assume a, le_infi $ assume ⟨i, (ha : u i = a)⟩, ha ▸ infi_le _ _)
lemma inf_uniformity {u v : uniform_space α} :
(u ⊓ v).uniformity = u.uniformity ⊓ v.uniformity :=
have (u ⊓ v) = (⨅i (h : i = u ∨ i = v), i), by simp [infi_or, infi_inf_eq],
calc (u ⊓ v).uniformity = ((⨅i (h : i = u ∨ i = v), i) : uniform_space α).uniformity : by rw [this]
... = _ : by simp [infi_uniformity, infi_or, infi_inf_eq]
instance inhabited_uniform_space : inhabited (uniform_space α) := ⟨⊥⟩
instance inhabited_uniform_space_core : inhabited (uniform_space.core α) :=
⟨@uniform_space.to_core _ (default _)⟩
/-- Given `f : α → β` and a uniformity `u` on `β`, the inverse image of `u` under `f`
is the inverse image in the filter sense of the induced function `α × α → β × β`. -/
def uniform_space.comap (f : α → β) (u : uniform_space β) : uniform_space α :=
{ uniformity := u.uniformity.comap (λp:α×α, (f p.1, f p.2)),
to_topological_space := u.to_topological_space.induced f,
refl := le_trans (by simp; exact assume ⟨a, b⟩ (h : a = b), h ▸ rfl) (comap_mono u.refl),
symm := by simp [tendsto_comap_iff, prod.swap, (∘)]; exact tendsto_swap_uniformity.comp tendsto_comap,
comp := le_trans
begin
rw [comap_lift'_eq, comap_lift'_eq2],
exact (lift'_mono' $ assume s hs ⟨a₁, a₂⟩ ⟨x, h₁, h₂⟩, ⟨f x, h₁, h₂⟩),
repeat { exact monotone_comp_rel monotone_id monotone_id }
end
(comap_mono u.comp),
is_open_uniformity := λ s, begin
change (@is_open α (u.to_topological_space.induced f) s ↔ _),
simp [is_open_iff_nhds, nhds_induced, mem_nhds_uniformity_iff_right, filter.comap, and_comm],
refine ball_congr (λ x hx, ⟨_, _⟩),
{ rintro ⟨t, hts, ht⟩, refine ⟨_, ht, _⟩,
rintro ⟨x₁, x₂⟩ h rfl, exact hts (h rfl) },
{ rintro ⟨t, ht, hts⟩,
exact ⟨{y | (f x, y) ∈ t}, λ y hy, @hts (x, y) hy rfl,
mem_nhds_uniformity_iff_right.1 $ mem_nhds_left _ ht⟩ }
end }
lemma uniform_space_comap_id {α : Type*} : uniform_space.comap (id : α → α) = id :=
by ext u ; dsimp [uniform_space.comap] ; rw [prod.id_prod, filter.comap_id]
lemma uniform_space.comap_comap_comp {α β γ} [uγ : uniform_space γ] {f : α → β} {g : β → γ} :
uniform_space.comap (g ∘ f) uγ = uniform_space.comap f (uniform_space.comap g uγ) :=
by ext ; dsimp [uniform_space.comap] ; rw filter.comap_comap_comp
lemma uniform_continuous_iff {α β} [uα : uniform_space α] [uβ : uniform_space β] {f : α → β} :
uniform_continuous f ↔ uα ≤ uβ.comap f :=
filter.map_le_iff_le_comap
lemma uniform_continuous_comap {f : α → β} [u : uniform_space β] :
@uniform_continuous α β (uniform_space.comap f u) u f :=
tendsto_comap
theorem to_topological_space_comap {f : α → β} {u : uniform_space β} :
@uniform_space.to_topological_space _ (uniform_space.comap f u) =
topological_space.induced f (@uniform_space.to_topological_space β u) := rfl
lemma uniform_continuous_comap' {f : γ → β} {g : α → γ} [v : uniform_space β] [u : uniform_space α]
(h : uniform_continuous (f ∘ g)) : @uniform_continuous α γ u (uniform_space.comap f v) g :=
tendsto_comap_iff.2 h
lemma to_topological_space_mono {u₁ u₂ : uniform_space α} (h : u₁ ≤ u₂) :
@uniform_space.to_topological_space _ u₁ ≤ @uniform_space.to_topological_space _ u₂ :=
le_of_nhds_le_nhds $ assume a,
by rw [@nhds_eq_uniformity α u₁ a, @nhds_eq_uniformity α u₂ a]; exact (lift'_mono h $ le_refl _)
lemma uniform_continuous.continuous [uniform_space α] [uniform_space β] {f : α → β}
(hf : uniform_continuous f) : continuous f :=
continuous_iff_le_induced.mpr $ to_topological_space_mono $ uniform_continuous_iff.1 hf
lemma to_topological_space_bot : @uniform_space.to_topological_space α ⊥ = ⊥ := rfl
lemma to_topological_space_top : @uniform_space.to_topological_space α ⊤ = ⊤ :=
top_unique $ assume s hs, s.eq_empty_or_nonempty.elim
(assume : s = ∅, this.symm ▸ @is_open_empty _ ⊤)
(assume ⟨x, hx⟩,
have s = univ, from top_unique $ assume y hy, hs x hx (x, y) rfl,
this.symm ▸ @is_open_univ _ ⊤)
lemma to_topological_space_infi {ι : Sort*} {u : ι → uniform_space α} :
(infi u).to_topological_space = ⨅i, (u i).to_topological_space :=
classical.by_cases
(assume h : nonempty ι,
eq_of_nhds_eq_nhds $ assume a,
begin
rw [nhds_infi, nhds_eq_uniformity],
change (infi u).uniformity.lift' (preimage $ prod.mk a) = _,
begin
rw [infi_uniformity, lift'_infi],
exact (congr_arg _ $ funext $ assume i, (@nhds_eq_uniformity α (u i) a).symm),
exact h,
exact assume a b, rfl
end
end)
(assume : ¬ nonempty ι,
le_antisymm
(le_infi $ assume i, to_topological_space_mono $ infi_le _ _)
(have infi u = ⊤, from top_unique $ le_infi $ assume i, (this ⟨i⟩).elim,
have @uniform_space.to_topological_space _ (infi u) = ⊤,
from this.symm ▸ to_topological_space_top,
this.symm ▸ le_top))
lemma to_topological_space_Inf {s : set (uniform_space α)} :
(Inf s).to_topological_space = (⨅i∈s, @uniform_space.to_topological_space α i) :=
begin
rw [Inf_eq_infi, to_topological_space_infi],
apply congr rfl,
funext x,
exact to_topological_space_infi
end
lemma to_topological_space_inf {u v : uniform_space α} :
(u ⊓ v).to_topological_space = u.to_topological_space ⊓ v.to_topological_space :=
by rw [to_topological_space_Inf, infi_pair]
instance : uniform_space empty := ⊥
instance : uniform_space unit := ⊥
instance : uniform_space bool := ⊥
instance : uniform_space ℕ := ⊥
instance : uniform_space ℤ := ⊥
instance {p : α → Prop} [t : uniform_space α] : uniform_space (subtype p) :=
uniform_space.comap subtype.val t
lemma uniformity_subtype {p : α → Prop} [t : uniform_space α] :
𝓤 (subtype p) = comap (λq:subtype p × subtype p, (q.1.1, q.2.1)) (𝓤 α) :=
rfl
lemma uniform_continuous_subtype_val {p : α → Prop} [uniform_space α] :
uniform_continuous (subtype.val : {a : α // p a} → α) :=
uniform_continuous_comap
lemma uniform_continuous_subtype_mk {p : α → Prop} [uniform_space α] [uniform_space β]
{f : β → α} (hf : uniform_continuous f) (h : ∀x, p (f x)) :
uniform_continuous (λx, ⟨f x, h x⟩ : β → subtype p) :=
uniform_continuous_comap' hf
lemma tendsto_of_uniform_continuous_subtype
[uniform_space α] [uniform_space β] {f : α → β} {s : set α} {a : α}
(hf : uniform_continuous (λx:s, f x.val)) (ha : s ∈ 𝓝 a) :
tendsto f (𝓝 a) (𝓝 (f a)) :=
by rw [(@map_nhds_subtype_val_eq α _ s a (mem_of_nhds ha) ha).symm]; exact
tendsto_map' (continuous_iff_continuous_at.mp hf.continuous _)
section prod
/- a similar product space is possible on the function space (uniformity of pointwise convergence),
but we want to have the uniformity of uniform convergence on function spaces -/
instance [u₁ : uniform_space α] [u₂ : uniform_space β] : uniform_space (α × β) :=
uniform_space.of_core_eq
(u₁.comap prod.fst ⊓ u₂.comap prod.snd).to_core
prod.topological_space
(calc prod.topological_space = (u₁.comap prod.fst ⊓ u₂.comap prod.snd).to_topological_space :
by rw [to_topological_space_inf, to_topological_space_comap, to_topological_space_comap]; refl
... = _ : by rw [uniform_space.to_core_to_topological_space])
theorem uniformity_prod [uniform_space α] [uniform_space β] : 𝓤 (α × β) =
(𝓤 α).comap (λp:(α × β) × α × β, (p.1.1, p.2.1)) ⊓
(𝓤 β).comap (λp:(α × β) × α × β, (p.1.2, p.2.2)) :=
inf_uniformity
lemma uniformity_prod_eq_prod [uniform_space α] [uniform_space β] :
𝓤 (α×β) =
map (λp:(α×α)×(β×β), ((p.1.1, p.2.1), (p.1.2, p.2.2))) (filter.prod (𝓤 α) (𝓤 β)) :=
have map (λp:(α×α)×(β×β), ((p.1.1, p.2.1), (p.1.2, p.2.2))) =
comap (λp:(α×β)×(α×β), ((p.1.1, p.2.1), (p.1.2, p.2.2))),
from funext $ assume f, map_eq_comap_of_inverse
(funext $ assume ⟨⟨_, _⟩, ⟨_, _⟩⟩, rfl) (funext $ assume ⟨⟨_, _⟩, ⟨_, _⟩⟩, rfl),
by rw [this, uniformity_prod, filter.prod, comap_inf, comap_comap_comp, comap_comap_comp]
lemma mem_map_sets_iff' {α : Type*} {β : Type*} {f : filter α} {m : α → β} {t : set β} :
t ∈ (map m f).sets ↔ (∃s∈f, m '' s ⊆ t) :=
mem_map_sets_iff
lemma mem_uniformity_of_uniform_continuous_invariant [uniform_space α] {s:set (α×α)} {f : α → α → α}
(hf : uniform_continuous (λp:α×α, f p.1 p.2)) (hs : s ∈ 𝓤 α) :
∃u∈𝓤 α, ∀a b c, (a, b) ∈ u → (f a c, f b c) ∈ s :=
begin
rw [uniform_continuous, uniformity_prod_eq_prod, tendsto_map'_iff, (∘)] at hf,
rcases mem_map_sets_iff'.1 (hf hs) with ⟨t, ht, hts⟩, clear hf,
rcases mem_prod_iff.1 ht with ⟨u, hu, v, hv, huvt⟩, clear ht,
refine ⟨u, hu, assume a b c hab, hts $ (mem_image _ _ _).2 ⟨⟨⟨a, b⟩, ⟨c, c⟩⟩, huvt ⟨_, _⟩, _⟩⟩,
exact hab,
exact refl_mem_uniformity hv,
refl
end
lemma mem_uniform_prod [t₁ : uniform_space α] [t₂ : uniform_space β] {a : set (α × α)} {b : set (β × β)}
(ha : a ∈ 𝓤 α) (hb : b ∈ 𝓤 β) :
{p:(α×β)×(α×β) | (p.1.1, p.2.1) ∈ a ∧ (p.1.2, p.2.2) ∈ b } ∈ (@uniformity (α × β) _) :=
by rw [uniformity_prod]; exact inter_mem_inf_sets (preimage_mem_comap ha) (preimage_mem_comap hb)
lemma tendsto_prod_uniformity_fst [uniform_space α] [uniform_space β] :
tendsto (λp:(α×β)×(α×β), (p.1.1, p.2.1)) (𝓤 (α × β)) (𝓤 α) :=
le_trans (map_mono (@inf_le_left (uniform_space (α×β)) _ _ _)) map_comap_le
lemma tendsto_prod_uniformity_snd [uniform_space α] [uniform_space β] :
tendsto (λp:(α×β)×(α×β), (p.1.2, p.2.2)) (𝓤 (α × β)) (𝓤 β) :=
le_trans (map_mono (@inf_le_right (uniform_space (α×β)) _ _ _)) map_comap_le
lemma uniform_continuous_fst [uniform_space α] [uniform_space β] : uniform_continuous (λp:α×β, p.1) :=
tendsto_prod_uniformity_fst
lemma uniform_continuous_snd [uniform_space α] [uniform_space β] : uniform_continuous (λp:α×β, p.2) :=
tendsto_prod_uniformity_snd
variables [uniform_space α] [uniform_space β] [uniform_space γ]
lemma uniform_continuous.prod_mk
{f₁ : α → β} {f₂ : α → γ} (h₁ : uniform_continuous f₁) (h₂ : uniform_continuous f₂) :
uniform_continuous (λa, (f₁ a, f₂ a)) :=
by rw [uniform_continuous, uniformity_prod]; exact
tendsto_inf.2 ⟨tendsto_comap_iff.2 h₁, tendsto_comap_iff.2 h₂⟩
lemma uniform_continuous.prod_mk_left {f : α × β → γ} (h : uniform_continuous f) (b) :
uniform_continuous (λ a, f (a,b)) :=
h.comp (uniform_continuous_id.prod_mk uniform_continuous_const)
lemma uniform_continuous.prod_mk_right {f : α × β → γ} (h : uniform_continuous f) (a) :
uniform_continuous (λ b, f (a,b)) :=
h.comp (uniform_continuous_const.prod_mk uniform_continuous_id)
lemma uniform_continuous.prod_map [uniform_space δ] {f : α → γ} {g : β → δ}
(hf : uniform_continuous f) (hg : uniform_continuous g) :
uniform_continuous (prod.map f g) :=
(hf.comp uniform_continuous_fst).prod_mk (hg.comp uniform_continuous_snd)
lemma to_topological_space_prod {α} {β} [u : uniform_space α] [v : uniform_space β] :
@uniform_space.to_topological_space (α × β) prod.uniform_space =
@prod.topological_space α β u.to_topological_space v.to_topological_space := rfl
end prod
section
open uniform_space function
variables {δ' : Type*} [uniform_space α] [uniform_space β] [uniform_space γ] [uniform_space δ]
[uniform_space δ']
local notation f `∘₂` g := function.bicompr f g
def uniform_continuous₂ (f : α → β → γ) := uniform_continuous (uncurry f)
lemma uniform_continuous₂_def (f : α → β → γ) :
uniform_continuous₂ f ↔ uniform_continuous (uncurry f) := iff.rfl
lemma uniform_continuous₂.uniform_continuous {f : α → β → γ} (h : uniform_continuous₂ f) :
uniform_continuous (uncurry f) := h
lemma uniform_continuous₂_curry (f : α × β → γ) :
uniform_continuous₂ (function.curry f) ↔ uniform_continuous f :=
by rw [uniform_continuous₂, uncurry_curry]
lemma uniform_continuous₂.comp {f : α → β → γ} {g : γ → δ}
(hg : uniform_continuous g) (hf : uniform_continuous₂ f) :
uniform_continuous₂ (g ∘₂ f) :=
hg.comp hf
lemma uniform_continuous₂.bicompl {f : α → β → γ} {ga : δ → α} {gb : δ' → β}
(hf : uniform_continuous₂ f) (hga : uniform_continuous ga) (hgb : uniform_continuous gb) :
uniform_continuous₂ (bicompl f ga gb) :=
hf.uniform_continuous.comp (hga.prod_map hgb)
end
lemma to_topological_space_subtype [u : uniform_space α] {p : α → Prop} :
@uniform_space.to_topological_space (subtype p) subtype.uniform_space =
@subtype.topological_space α p u.to_topological_space := rfl
section sum
variables [uniform_space α] [uniform_space β]
open sum
/-- Uniformity on a disjoint union. Entourages of the diagonal in the union are obtained
by taking independently an entourage of the diagonal in the first part, and an entourage of
the diagonal in the second part. -/
def uniform_space.core.sum : uniform_space.core (α ⊕ β) :=
uniform_space.core.mk'
(map (λ p : α × α, (inl p.1, inl p.2)) (𝓤 α) ⊔ map (λ p : β × β, (inr p.1, inr p.2)) (𝓤 β))
(λ r ⟨H₁, H₂⟩ x, by cases x; [apply refl_mem_uniformity H₁, apply refl_mem_uniformity H₂])
(λ r ⟨H₁, H₂⟩, ⟨symm_le_uniformity H₁, symm_le_uniformity H₂⟩)
(λ r ⟨Hrα, Hrβ⟩, begin
rcases comp_mem_uniformity_sets Hrα with ⟨tα, htα, Htα⟩,
rcases comp_mem_uniformity_sets Hrβ with ⟨tβ, htβ, Htβ⟩,
refine ⟨_,
⟨mem_map_sets_iff.2 ⟨tα, htα, subset_union_left _ _⟩,
mem_map_sets_iff.2 ⟨tβ, htβ, subset_union_right _ _⟩⟩, _⟩,
rintros ⟨_, _⟩ ⟨z, ⟨⟨a, b⟩, hab, ⟨⟩⟩ | ⟨⟨a, b⟩, hab, ⟨⟩⟩,
⟨⟨_, c⟩, hbc, ⟨⟩⟩ | ⟨⟨_, c⟩, hbc, ⟨⟩⟩⟩,
{ have A : (a, c) ∈ comp_rel tα tα := ⟨b, hab, hbc⟩,
exact Htα A },
{ have A : (a, c) ∈ comp_rel tβ tβ := ⟨b, hab, hbc⟩,
exact Htβ A }
end)
/-- The union of an entourage of the diagonal in each set of a disjoint union is again an entourage of the diagonal. -/
lemma union_mem_uniformity_sum
{a : set (α × α)} (ha : a ∈ 𝓤 α) {b : set (β × β)} (hb : b ∈ 𝓤 β) :
((λ p : (α × α), (inl p.1, inl p.2)) '' a ∪ (λ p : (β × β), (inr p.1, inr p.2)) '' b) ∈ (@uniform_space.core.sum α β _ _).uniformity :=
⟨mem_map_sets_iff.2 ⟨_, ha, subset_union_left _ _⟩, mem_map_sets_iff.2 ⟨_, hb, subset_union_right _ _⟩⟩
/- To prove that the topology defined by the uniform structure on the disjoint union coincides with
the disjoint union topology, we need two lemmas saying that open sets can be characterized by
the uniform structure -/
lemma uniformity_sum_of_open_aux {s : set (α ⊕ β)} (hs : is_open s) {x : α ⊕ β} (xs : x ∈ s) :
{ p : ((α ⊕ β) × (α ⊕ β)) | p.1 = x → p.2 ∈ s } ∈ (@uniform_space.core.sum α β _ _).uniformity :=
begin
cases x,
{ refine mem_sets_of_superset
(union_mem_uniformity_sum (mem_nhds_uniformity_iff_right.1 (mem_nhds_sets hs.1 xs)) univ_mem_sets)
(union_subset _ _);
rintro _ ⟨⟨_, b⟩, h, ⟨⟩⟩ ⟨⟩,
exact h rfl },
{ refine mem_sets_of_superset
(union_mem_uniformity_sum univ_mem_sets (mem_nhds_uniformity_iff_right.1 (mem_nhds_sets hs.2 xs)))
(union_subset _ _);
rintro _ ⟨⟨a, _⟩, h, ⟨⟩⟩ ⟨⟩,
exact h rfl },
end
lemma open_of_uniformity_sum_aux {s : set (α ⊕ β)}
(hs : ∀x ∈ s, { p : ((α ⊕ β) × (α ⊕ β)) | p.1 = x → p.2 ∈ s } ∈ (@uniform_space.core.sum α β _ _).uniformity) :
is_open s :=
begin
split,
{ refine (@is_open_iff_mem_nhds α _ _).2 (λ a ha, mem_nhds_uniformity_iff_right.2 _),
rcases mem_map_sets_iff.1 (hs _ ha).1 with ⟨t, ht, st⟩,
refine mem_sets_of_superset ht _,
rintro p pt rfl, exact st ⟨_, pt, rfl⟩ rfl },
{ refine (@is_open_iff_mem_nhds β _ _).2 (λ b hb, mem_nhds_uniformity_iff_right.2 _),
rcases mem_map_sets_iff.1 (hs _ hb).2 with ⟨t, ht, st⟩,
refine mem_sets_of_superset ht _,
rintro p pt rfl, exact st ⟨_, pt, rfl⟩ rfl }
end
/- We can now define the uniform structure on the disjoint union -/
instance sum.uniform_space : uniform_space (α ⊕ β) :=
{ to_core := uniform_space.core.sum,
is_open_uniformity := λ s, ⟨uniformity_sum_of_open_aux, open_of_uniformity_sum_aux⟩ }
lemma sum.uniformity : 𝓤 (α ⊕ β) =
map (λ p : α × α, (inl p.1, inl p.2)) (𝓤 α) ⊔
map (λ p : β × β, (inr p.1, inr p.2)) (𝓤 β) := rfl
end sum
end constructions
lemma lebesgue_number_lemma {α : Type u} [uniform_space α] {s : set α} {ι} {c : ι → set α}
(hs : compact s) (hc₁ : ∀ i, is_open (c i)) (hc₂ : s ⊆ ⋃ i, c i) :
∃ n ∈ 𝓤 α, ∀ x ∈ s, ∃ i, {y | (x, y) ∈ n} ⊆ c i :=
begin
let u := λ n, {x | ∃ i (m ∈ 𝓤 α), {y | (x, y) ∈ comp_rel m n} ⊆ c i},
have hu₁ : ∀ n ∈ 𝓤 α, is_open (u n),
{ refine λ n hn, is_open_uniformity.2 _,
rintro x ⟨i, m, hm, h⟩,
rcases comp_mem_uniformity_sets hm with ⟨m', hm', mm'⟩,
apply (𝓤 α).sets_of_superset hm',
rintros ⟨x, y⟩ hp rfl,
refine ⟨i, m', hm', λ z hz, h (monotone_comp_rel monotone_id monotone_const mm' _)⟩,
dsimp at hz ⊢, rw comp_rel_assoc,
exact ⟨y, hp, hz⟩ },
have hu₂ : s ⊆ ⋃ n ∈ 𝓤 α, u n,
{ intros x hx,
rcases mem_Union.1 (hc₂ hx) with ⟨i, h⟩,
rcases comp_mem_uniformity_sets (is_open_uniformity.1 (hc₁ i) x h) with ⟨m', hm', mm'⟩,
exact mem_bUnion hm' ⟨i, _, hm', λ y hy, mm' hy rfl⟩ },
rcases hs.elim_finite_subcover_image hu₁ hu₂ with ⟨b, bu, b_fin, b_cover⟩,
refine ⟨_, Inter_mem_sets b_fin bu, λ x hx, _⟩,
rcases mem_bUnion_iff.1 (b_cover hx) with ⟨n, bn, i, m, hm, h⟩,
refine ⟨i, λ y hy, h _⟩,
exact prod_mk_mem_comp_rel (refl_mem_uniformity hm) (bInter_subset_of_mem bn hy)
end
lemma lebesgue_number_lemma_sUnion {α : Type u} [uniform_space α] {s : set α} {c : set (set α)}
(hs : compact s) (hc₁ : ∀ t ∈ c, is_open t) (hc₂ : s ⊆ ⋃₀ c) :
∃ n ∈ 𝓤 α, ∀ x ∈ s, ∃ t ∈ c, ∀ y, (x, y) ∈ n → y ∈ t :=
by rw sUnion_eq_Union at hc₂;
simpa using lebesgue_number_lemma hs (by simpa) hc₂
/-!
### Expressing continuity properties in uniform spaces
We reformulate the various continuity properties of functions taking values in a uniform space
in terms of the uniformity in the target. Since the same lemmas (essentially with the same names)
also exist for metric spaces and emetric spaces (reformulating things in terms of the distance or
the edistance in the target), we put them in a namespace `uniform` here.
In the metric and emetric space setting, there are also similar lemmas where one assumes that
both the source and the target are metric spaces, reformulating things in terms of the distance
on both sides. These lemmas are generally written without primes, and the versions where only
the target is a metric space is primed. We follow the same convention here, thus giving lemmas
with primes.
-/
namespace uniform
variables {α : Type*} {β : Type*} [uniform_space α]
theorem tendsto_nhds_right {f : filter β} {u : β → α} {a : α} :
tendsto u f (𝓝 a) ↔ tendsto (λ x, (a, u x)) f (𝓤 α) :=
⟨λ H, tendsto_left_nhds_uniformity.comp H,
λ H s hs, by simpa [mem_of_nhds hs] using H (mem_nhds_uniformity_iff_right.1 hs)⟩
theorem tendsto_nhds_left {f : filter β} {u : β → α} {a : α} :
tendsto u f (𝓝 a) ↔ tendsto (λ x, (u x, a)) f (𝓤 α) :=
⟨λ H, tendsto_right_nhds_uniformity.comp H,
λ H s hs, by simpa [mem_of_nhds hs] using H (mem_nhds_uniformity_iff_left.1 hs)⟩
theorem continuous_at_iff'_right [topological_space β] {f : β → α} {b : β} :
continuous_at f b ↔ tendsto (λ x, (f b, f x)) (𝓝 b) (𝓤 α) :=
by rw [continuous_at, tendsto_nhds_right]
theorem continuous_at_iff'_left [topological_space β] {f : β → α} {b : β} :
continuous_at f b ↔ tendsto (λ x, (f x, f b)) (𝓝 b) (𝓤 α) :=
by rw [continuous_at, tendsto_nhds_left]
theorem continuous_within_at_iff'_right [topological_space β] {f : β → α} {b : β} {s : set β} :
continuous_within_at f s b ↔ tendsto (λ x, (f b, f x)) (nhds_within b s) (𝓤 α) :=
by rw [continuous_within_at, tendsto_nhds_right]
theorem continuous_within_at_iff'_left [topological_space β] {f : β → α} {b : β} {s : set β} :
continuous_within_at f s b ↔ tendsto (λ x, (f x, f b)) (nhds_within b s) (𝓤 α) :=
by rw [continuous_within_at, tendsto_nhds_left]
theorem continuous_on_iff'_right [topological_space β] {f : β → α} {s : set β} :
continuous_on f s ↔ ∀ b ∈ s, tendsto (λ x, (f b, f x)) (nhds_within b s) (𝓤 α) :=
by simp [continuous_on, continuous_within_at_iff'_right]
theorem continuous_on_iff'_left [topological_space β] {f : β → α} {s : set β} :
continuous_on f s ↔ ∀ b ∈ s, tendsto (λ x, (f x, f b)) (nhds_within b s) (𝓤 α) :=
by simp [continuous_on, continuous_within_at_iff'_left]
theorem continuous_iff'_right [topological_space β] {f : β → α} :
continuous f ↔ ∀ b, tendsto (λ x, (f b, f x)) (𝓝 b) (𝓤 α) :=
continuous_iff_continuous_at.trans $ forall_congr $ λ b, tendsto_nhds_right
theorem continuous_iff'_left [topological_space β] {f : β → α} :
continuous f ↔ ∀ b, tendsto (λ x, (f x, f b)) (𝓝 b) (𝓤 α) :=
continuous_iff_continuous_at.trans $ forall_congr $ λ b, tendsto_nhds_left
end uniform
lemma filter.tendsto.congr_uniformity {α β} [uniform_space β] {f g : α → β} {l : filter α} {b : β}
(hf : tendsto f l (𝓝 b)) (hg : tendsto (λ x, (f x, g x)) l (𝓤 β)) :
tendsto g l (𝓝 b) :=
uniform.tendsto_nhds_right.2 $ (uniform.tendsto_nhds_right.1 hf).uniformity_trans hg
lemma uniform.tendsto_congr {α β} [uniform_space β] {f g : α → β} {l : filter α} {b : β}
(hfg : tendsto (λ x, (f x, g x)) l (𝓤 β)) :
tendsto f l (𝓝 b) ↔ tendsto g l (𝓝 b) :=
⟨λ h, h.congr_uniformity hfg, λ h, h.congr_uniformity hfg.uniformity_symm⟩
|
127631f06082b0b51e781e80245db7cce11b954c | d406927ab5617694ec9ea7001f101b7c9e3d9702 | /src/analysis/special_functions/complex/log_deriv.lean | 99ed7f3c415aede992860c7d8fabe92c5be2a181 | [
"Apache-2.0"
] | permissive | alreadydone/mathlib | dc0be621c6c8208c581f5170a8216c5ba6721927 | c982179ec21091d3e102d8a5d9f5fe06c8fafb73 | refs/heads/master | 1,685,523,275,196 | 1,670,184,141,000 | 1,670,184,141,000 | 287,574,545 | 0 | 0 | Apache-2.0 | 1,670,290,714,000 | 1,597,421,623,000 | Lean | UTF-8 | Lean | false | false | 6,354 | lean | /-
Copyright (c) 2018 Chris Hughes. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Chris Hughes, Abhimanyu Pallavi Sudhir, Jean Lo, Calle Sönne, Benjamin Davidson
-/
import analysis.special_functions.complex.log
import analysis.special_functions.exp_deriv
/-!
# Differentiability of the complex `log` function
-/
noncomputable theory
namespace complex
open set filter
open_locale real topological_space
/-- `complex.exp` as a `local_homeomorph` with `source = {z | -π < im z < π}` and
`target = {z | 0 < re z} ∪ {z | im z ≠ 0}`. This definition is used to prove that `complex.log`
is complex differentiable at all points but the negative real semi-axis. -/
def exp_local_homeomorph : local_homeomorph ℂ ℂ :=
local_homeomorph.of_continuous_open
{ to_fun := exp,
inv_fun := log,
source := {z : ℂ | z.im ∈ Ioo (- π) π},
target := {z : ℂ | 0 < z.re} ∪ {z : ℂ | z.im ≠ 0},
map_source' :=
begin
rintro ⟨x, y⟩ ⟨h₁ : -π < y, h₂ : y < π⟩,
refine (not_or_of_imp $ λ hz, _).symm,
obtain rfl : y = 0,
{ rw exp_im at hz,
simpa [(real.exp_pos _).ne', real.sin_eq_zero_iff_of_lt_of_lt h₁ h₂] using hz },
rw [mem_set_of_eq, ← of_real_def, exp_of_real_re],
exact real.exp_pos x
end,
map_target' := λ z h,
suffices 0 ≤ z.re ∨ z.im ≠ 0,
by simpa [log_im, neg_pi_lt_arg, (arg_le_pi _).lt_iff_ne, arg_eq_pi_iff, not_and_distrib],
h.imp (λ h, le_of_lt h) id,
left_inv' := λ x hx, log_exp hx.1 (le_of_lt hx.2),
right_inv' := λ x hx, exp_log $ by { rintro rfl, simpa [lt_irrefl] using hx } }
continuous_exp.continuous_on is_open_map_exp (is_open_Ioo.preimage continuous_im)
lemma has_strict_deriv_at_log {x : ℂ} (h : 0 < x.re ∨ x.im ≠ 0) :
has_strict_deriv_at log x⁻¹ x :=
have h0 : x ≠ 0, by { rintro rfl, simpa [lt_irrefl] using h },
exp_local_homeomorph.has_strict_deriv_at_symm h h0 $
by simpa [exp_log h0] using has_strict_deriv_at_exp (log x)
lemma has_strict_fderiv_at_log_real {x : ℂ} (h : 0 < x.re ∨ x.im ≠ 0) :
has_strict_fderiv_at log (x⁻¹ • (1 : ℂ →L[ℝ] ℂ)) x :=
(has_strict_deriv_at_log h).complex_to_real_fderiv
lemma cont_diff_at_log {x : ℂ} (h : 0 < x.re ∨ x.im ≠ 0) {n : ℕ∞} :
cont_diff_at ℂ n log x :=
exp_local_homeomorph.cont_diff_at_symm_deriv (exp_ne_zero $ log x) h
(has_deriv_at_exp _) cont_diff_exp.cont_diff_at
end complex
section log_deriv
open complex filter
open_locale topological_space
variables {α : Type*} [topological_space α] {E : Type*} [normed_add_comm_group E] [normed_space ℂ E]
lemma has_strict_fderiv_at.clog {f : E → ℂ} {f' : E →L[ℂ] ℂ} {x : E}
(h₁ : has_strict_fderiv_at f f' x) (h₂ : 0 < (f x).re ∨ (f x).im ≠ 0) :
has_strict_fderiv_at (λ t, log (f t)) ((f x)⁻¹ • f') x :=
(has_strict_deriv_at_log h₂).comp_has_strict_fderiv_at x h₁
lemma has_strict_deriv_at.clog {f : ℂ → ℂ} {f' x : ℂ} (h₁ : has_strict_deriv_at f f' x)
(h₂ : 0 < (f x).re ∨ (f x).im ≠ 0) :
has_strict_deriv_at (λ t, log (f t)) (f' / f x) x :=
by { rw div_eq_inv_mul, exact (has_strict_deriv_at_log h₂).comp x h₁ }
lemma has_strict_deriv_at.clog_real {f : ℝ → ℂ} {x : ℝ} {f' : ℂ} (h₁ : has_strict_deriv_at f f' x)
(h₂ : 0 < (f x).re ∨ (f x).im ≠ 0) :
has_strict_deriv_at (λ t, log (f t)) (f' / f x) x :=
by simpa only [div_eq_inv_mul]
using (has_strict_fderiv_at_log_real h₂).comp_has_strict_deriv_at x h₁
lemma has_fderiv_at.clog {f : E → ℂ} {f' : E →L[ℂ] ℂ} {x : E}
(h₁ : has_fderiv_at f f' x) (h₂ : 0 < (f x).re ∨ (f x).im ≠ 0) :
has_fderiv_at (λ t, log (f t)) ((f x)⁻¹ • f') x :=
(has_strict_deriv_at_log h₂).has_deriv_at.comp_has_fderiv_at x h₁
lemma has_deriv_at.clog {f : ℂ → ℂ} {f' x : ℂ} (h₁ : has_deriv_at f f' x)
(h₂ : 0 < (f x).re ∨ (f x).im ≠ 0) :
has_deriv_at (λ t, log (f t)) (f' / f x) x :=
by { rw div_eq_inv_mul, exact (has_strict_deriv_at_log h₂).has_deriv_at.comp x h₁ }
lemma has_deriv_at.clog_real {f : ℝ → ℂ} {x : ℝ} {f' : ℂ} (h₁ : has_deriv_at f f' x)
(h₂ : 0 < (f x).re ∨ (f x).im ≠ 0) :
has_deriv_at (λ t, log (f t)) (f' / f x) x :=
by simpa only [div_eq_inv_mul]
using (has_strict_fderiv_at_log_real h₂).has_fderiv_at.comp_has_deriv_at x h₁
lemma differentiable_at.clog {f : E → ℂ} {x : E} (h₁ : differentiable_at ℂ f x)
(h₂ : 0 < (f x).re ∨ (f x).im ≠ 0) :
differentiable_at ℂ (λ t, log (f t)) x :=
(h₁.has_fderiv_at.clog h₂).differentiable_at
lemma has_fderiv_within_at.clog {f : E → ℂ} {f' : E →L[ℂ] ℂ} {s : set E} {x : E}
(h₁ : has_fderiv_within_at f f' s x) (h₂ : 0 < (f x).re ∨ (f x).im ≠ 0) :
has_fderiv_within_at (λ t, log (f t)) ((f x)⁻¹ • f') s x :=
(has_strict_deriv_at_log h₂).has_deriv_at.comp_has_fderiv_within_at x h₁
lemma has_deriv_within_at.clog {f : ℂ → ℂ} {f' x : ℂ} {s : set ℂ}
(h₁ : has_deriv_within_at f f' s x) (h₂ : 0 < (f x).re ∨ (f x).im ≠ 0) :
has_deriv_within_at (λ t, log (f t)) (f' / f x) s x :=
by { rw div_eq_inv_mul,
exact (has_strict_deriv_at_log h₂).has_deriv_at.comp_has_deriv_within_at x h₁ }
lemma has_deriv_within_at.clog_real {f : ℝ → ℂ} {s : set ℝ} {x : ℝ} {f' : ℂ}
(h₁ : has_deriv_within_at f f' s x) (h₂ : 0 < (f x).re ∨ (f x).im ≠ 0) :
has_deriv_within_at (λ t, log (f t)) (f' / f x) s x :=
by simpa only [div_eq_inv_mul]
using (has_strict_fderiv_at_log_real h₂).has_fderiv_at.comp_has_deriv_within_at x h₁
lemma differentiable_within_at.clog {f : E → ℂ} {s : set E} {x : E}
(h₁ : differentiable_within_at ℂ f s x) (h₂ : 0 < (f x).re ∨ (f x).im ≠ 0) :
differentiable_within_at ℂ (λ t, log (f t)) s x :=
(h₁.has_fderiv_within_at.clog h₂).differentiable_within_at
lemma differentiable_on.clog {f : E → ℂ} {s : set E}
(h₁ : differentiable_on ℂ f s) (h₂ : ∀ x ∈ s, 0 < (f x).re ∨ (f x).im ≠ 0) :
differentiable_on ℂ (λ t, log (f t)) s :=
λ x hx, (h₁ x hx).clog (h₂ x hx)
lemma differentiable.clog {f : E → ℂ} (h₁ : differentiable ℂ f)
(h₂ : ∀ x, 0 < (f x).re ∨ (f x).im ≠ 0) :
differentiable ℂ (λ t, log (f t)) :=
λ x, (h₁ x).clog (h₂ x)
end log_deriv
|
bc1534cd6806528272ec35c497794abc5c25568c | 74addaa0e41490cbaf2abd313a764c96df57b05d | /Mathlib.lean | e3ee12163b19e5076e198a1be908f9f3c0720283 | [] | 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 | 54,230 | lean | import Mathlib.PrePort
import Mathlib.Lean3Lib.init.default
import Mathlib.algebra.add_torsor
import Mathlib.algebra.algebra.basic
import Mathlib.algebra.algebra.operations
import Mathlib.algebra.algebra.ordered
import Mathlib.algebra.algebra.subalgebra
import Mathlib.algebra.algebra.tower
import Mathlib.algebra.archimedean
import Mathlib.algebra.associated
import Mathlib.algebra.big_operators.basic
import Mathlib.algebra.big_operators.default
import Mathlib.algebra.big_operators.enat
import Mathlib.algebra.big_operators.finsupp
import Mathlib.algebra.big_operators.intervals
import Mathlib.algebra.big_operators.nat_antidiagonal
import Mathlib.algebra.big_operators.order
import Mathlib.algebra.big_operators.pi
import Mathlib.algebra.big_operators.ring
import Mathlib.algebra.category.Algebra.basic
import Mathlib.algebra.category.Algebra.limits
import Mathlib.algebra.category.CommRing.adjunctions
import Mathlib.algebra.category.CommRing.basic
import Mathlib.algebra.category.CommRing.colimits
import Mathlib.algebra.category.CommRing.default
import Mathlib.algebra.category.CommRing.limits
import Mathlib.algebra.category.Group.abelian
import Mathlib.algebra.category.Group.adjunctions
import Mathlib.algebra.category.Group.basic
import Mathlib.algebra.category.Group.biproducts
import Mathlib.algebra.category.Group.colimits
import Mathlib.algebra.category.Group.default
import Mathlib.algebra.category.Group.images
import Mathlib.algebra.category.Group.limits
import Mathlib.algebra.category.Group.preadditive
import Mathlib.algebra.category.Group.zero
import Mathlib.algebra.category.Group.Z_Module_equivalence
import Mathlib.algebra.category.Module.abelian
import Mathlib.algebra.category.Module.basic
import Mathlib.algebra.category.Module.kernels
import Mathlib.algebra.category.Module.limits
import Mathlib.algebra.category.Module.monoidal
import Mathlib.algebra.category.Mon.basic
import Mathlib.algebra.category.Mon.colimits
import Mathlib.algebra.category.Mon.default
import Mathlib.algebra.category.Mon.limits
import Mathlib.algebra.char_p.basic
import Mathlib.algebra.char_p.default
import Mathlib.algebra.char_p.pi
import Mathlib.algebra.char_p.quotient
import Mathlib.algebra.char_p.subring
import Mathlib.algebra.char_zero
import Mathlib.algebra.continued_fractions.basic
import Mathlib.algebra.continued_fractions.computation.approximations
import Mathlib.algebra.continued_fractions.computation.basic
import Mathlib.algebra.continued_fractions.computation.correctness_terminating
import Mathlib.algebra.continued_fractions.computation.default
import Mathlib.algebra.continued_fractions.computation.terminates_iff_rat
import Mathlib.algebra.continued_fractions.computation.translations
import Mathlib.algebra.continued_fractions.continuants_recurrence
import Mathlib.algebra.continued_fractions.convergents_equiv
import Mathlib.algebra.continued_fractions.default
import Mathlib.algebra.continued_fractions.terminated_stable
import Mathlib.algebra.continued_fractions.translations
import Mathlib.algebra.default
import Mathlib.algebra.direct_limit
import Mathlib.algebra.direct_sum
import Mathlib.algebra.divisibility
import Mathlib.algebra.euclidean_domain
import Mathlib.algebra.field
import Mathlib.algebra.field_power
import Mathlib.algebra.floor
import Mathlib.algebra.free
import Mathlib.algebra.free_algebra
import Mathlib.algebra.free_monoid
import Mathlib.algebra.gcd_monoid
import Mathlib.algebra.geom_sum
import Mathlib.algebra.group_action_hom
import Mathlib.algebra.group.basic
import Mathlib.algebra.group.commute
import Mathlib.algebra.group.conj
import Mathlib.algebra.group.default
import Mathlib.algebra.group.defs
import Mathlib.algebra.group.hom
import Mathlib.algebra.group.inj_surj
import Mathlib.algebra.group.pi
import Mathlib.algebra.group_power.basic
import Mathlib.algebra.group_power.default
import Mathlib.algebra.group_power.identities
import Mathlib.algebra.group_power.lemmas
import Mathlib.algebra.group.prod
import Mathlib.algebra.group_ring_action
import Mathlib.algebra.group.semiconj
import Mathlib.algebra.group.to_additive
import Mathlib.algebra.group.type_tags
import Mathlib.algebra.group.ulift
import Mathlib.algebra.group.units
import Mathlib.algebra.group.units_hom
import Mathlib.algebra.group.with_one
import Mathlib.algebra.group_with_zero.basic
import Mathlib.algebra.group_with_zero.default
import Mathlib.algebra.group_with_zero.defs
import Mathlib.algebra.group_with_zero.power
import Mathlib.algebra.homology.chain_complex
import Mathlib.algebra.homology.exact
import Mathlib.algebra.homology.homology
import Mathlib.algebra.homology.image_to_kernel_map
import Mathlib.algebraic_geometry.is_open_comap_C
import Mathlib.algebraic_geometry.locally_ringed_space
import Mathlib.algebraic_geometry.presheafed_space
import Mathlib.algebraic_geometry.presheafed_space.has_colimits
import Mathlib.algebraic_geometry.prime_spectrum
import Mathlib.algebraic_geometry.Scheme
import Mathlib.algebraic_geometry.sheafed_space
import Mathlib.algebraic_geometry.Spec
import Mathlib.algebraic_geometry.stalks
import Mathlib.algebraic_geometry.structure_sheaf
import Mathlib.algebra.invertible
import Mathlib.algebra.iterate_hom
import Mathlib.algebra.lie.basic
import Mathlib.algebra.lie.classical
import Mathlib.algebra.lie.direct_sum
import Mathlib.algebra.lie.skew_adjoint
import Mathlib.algebra.lie.universal_enveloping
import Mathlib.algebra.linear_ordered_comm_group_with_zero
import Mathlib.algebra.linear_recurrence
import Mathlib.algebra.module.basic
import Mathlib.algebra.module.default
import Mathlib.algebra.module.linear_map
import Mathlib.algebra.module.opposites
import Mathlib.algebra.module.ordered
import Mathlib.algebra.module.pi
import Mathlib.algebra.module.prod
import Mathlib.algebra.module.submodule
import Mathlib.algebra.module.ulift
import Mathlib.algebra.monoid_algebra
import Mathlib.algebra.opposites
import Mathlib.algebra.order
import Mathlib.algebra.ordered_field
import Mathlib.algebra.ordered_group
import Mathlib.algebra.ordered_monoid
import Mathlib.algebra.ordered_pi
import Mathlib.algebra.ordered_ring
import Mathlib.algebra.order_functions
import Mathlib.algebra.pointwise
import Mathlib.algebra.polynomial.big_operators
import Mathlib.algebra.polynomial.group_ring_action
import Mathlib.algebra.punit_instances
import Mathlib.algebra.quadratic_discriminant
import Mathlib.algebra.quandle
import Mathlib.algebra.ring.basic
import Mathlib.algebra.ring.default
import Mathlib.algebra.ring.pi
import Mathlib.algebra.ring.prod
import Mathlib.algebra.ring_quot
import Mathlib.algebra.ring.ulift
import Mathlib.algebra.squarefree
import Mathlib.algebra.star.algebra
import Mathlib.algebra.star.basic
import Mathlib.algebra.triv_sq_zero_ext
import Mathlib.analysis.analytic.basic
import Mathlib.analysis.analytic.composition
import Mathlib.analysis.analytic.linear
import Mathlib.analysis.analytic.radius_liminf
import Mathlib.analysis.asymptotic_equivalent
import Mathlib.analysis.asymptotics
import Mathlib.analysis.calculus.darboux
import Mathlib.analysis.calculus.deriv
import Mathlib.analysis.calculus.extend_deriv
import Mathlib.analysis.calculus.fderiv
import Mathlib.analysis.calculus.fderiv_measurable
import Mathlib.analysis.calculus.formal_multilinear_series
import Mathlib.analysis.calculus.implicit
import Mathlib.analysis.calculus.inverse
import Mathlib.analysis.calculus.iterated_deriv
import Mathlib.analysis.calculus.lhopital
import Mathlib.analysis.calculus.local_extr
import Mathlib.analysis.calculus.mean_value
import Mathlib.analysis.calculus.specific_functions
import Mathlib.analysis.calculus.tangent_cone
import Mathlib.analysis.calculus.times_cont_diff
import Mathlib.analysis.complex.basic
import Mathlib.analysis.complex.polynomial
import Mathlib.analysis.complex.real_deriv
import Mathlib.analysis.complex.roots_of_unity
import Mathlib.analysis.convex.basic
import Mathlib.analysis.convex.caratheodory
import Mathlib.analysis.convex.cone
import Mathlib.analysis.convex.extrema
import Mathlib.analysis.convex.integral
import Mathlib.analysis.convex.specific_functions
import Mathlib.analysis.convex.topology
import Mathlib.analysis.hofer
import Mathlib.analysis.mean_inequalities
import Mathlib.analysis.normed_space.add_torsor
import Mathlib.analysis.normed_space.banach
import Mathlib.analysis.normed_space.basic
import Mathlib.analysis.normed_space.bounded_linear_maps
import Mathlib.analysis.normed_space.complemented
import Mathlib.analysis.normed_space.dual
import Mathlib.analysis.normed_space.enorm
import Mathlib.analysis.normed_space.extend
import Mathlib.analysis.normed_space.finite_dimension
import Mathlib.analysis.normed_space.hahn_banach
import Mathlib.analysis.normed_space.indicator_function
import Mathlib.analysis.normed_space.inner_product
import Mathlib.analysis.normed_space.linear_isometry
import Mathlib.analysis.normed_space.mazur_ulam
import Mathlib.analysis.normed_space.multilinear
import Mathlib.analysis.normed_space.operator_norm
import Mathlib.analysis.normed_space.ordered
import Mathlib.analysis.normed_space.riesz_lemma
import Mathlib.analysis.normed_space.units
import Mathlib.analysis.ODE.gronwall
import Mathlib.analysis.p_series
import Mathlib.analysis.quaternion
import Mathlib.analysis.seminorm
import Mathlib.analysis.special_functions.arsinh
import Mathlib.analysis.special_functions.exp_log
import Mathlib.analysis.special_functions.pow
import Mathlib.analysis.special_functions.trigonometric
import Mathlib.analysis.specific_limits
import Mathlib.category_theory.abelian.basic
import Mathlib.category_theory.abelian.diagram_lemmas.four
import Mathlib.category_theory.abelian.exact
import Mathlib.category_theory.abelian.non_preadditive
import Mathlib.category_theory.abelian.pseudoelements
import Mathlib.category_theory.action
import Mathlib.category_theory.adjunction.basic
import Mathlib.category_theory.adjunction.default
import Mathlib.category_theory.adjunction.fully_faithful
import Mathlib.category_theory.adjunction.lifting
import Mathlib.category_theory.adjunction.limits
import Mathlib.category_theory.adjunction.mates
import Mathlib.category_theory.adjunction.opposites
import Mathlib.category_theory.adjunction.reflective
import Mathlib.category_theory.arrow
import Mathlib.category_theory.category.Cat
import Mathlib.category_theory.category.default
import Mathlib.category_theory.category.Groupoid
import Mathlib.category_theory.category.Kleisli
import Mathlib.category_theory.category.pairwise
import Mathlib.category_theory.category.Rel
import Mathlib.category_theory.closed.cartesian
import Mathlib.category_theory.closed.functor
import Mathlib.category_theory.closed.monoidal
import Mathlib.category_theory.closed.types
import Mathlib.category_theory.closed.zero
import Mathlib.category_theory.comma
import Mathlib.category_theory.concrete_category.basic
import Mathlib.category_theory.concrete_category.bundled
import Mathlib.category_theory.concrete_category.bundled_hom
import Mathlib.category_theory.concrete_category.default
import Mathlib.category_theory.concrete_category.reflects_isomorphisms
import Mathlib.category_theory.concrete_category.unbundled_hom
import Mathlib.category_theory.conj
import Mathlib.category_theory.const
import Mathlib.category_theory.core
import Mathlib.category_theory.currying
import Mathlib.category_theory.differential_object
import Mathlib.category_theory.discrete_category
import Mathlib.category_theory.elements
import Mathlib.category_theory.endomorphism
import Mathlib.category_theory.epi_mono
import Mathlib.category_theory.eq_to_hom
import Mathlib.category_theory.equivalence
import Mathlib.category_theory.essential_image
import Mathlib.category_theory.filtered
import Mathlib.category_theory.fin_category
import Mathlib.category_theory.Fintype
import Mathlib.category_theory.full_subcategory
import Mathlib.category_theory.fully_faithful
import Mathlib.category_theory.functor
import Mathlib.category_theory.functor_category
import Mathlib.category_theory.functorial
import Mathlib.category_theory.graded_object
import Mathlib.category_theory.grothendieck
import Mathlib.category_theory.groupoid
import Mathlib.category_theory.hom_functor
import Mathlib.category_theory.is_connected
import Mathlib.category_theory.isomorphism
import Mathlib.category_theory.isomorphism_classes
import Mathlib.category_theory.limits.cofinal
import Mathlib.category_theory.limits.colimit_limit
import Mathlib.category_theory.limits.concrete_category
import Mathlib.category_theory.limits.cones
import Mathlib.category_theory.limits.connected
import Mathlib.category_theory.limits.constructions.binary_products
import Mathlib.category_theory.limits.constructions.epi_mono
import Mathlib.category_theory.limits.constructions.equalizers
import Mathlib.category_theory.limits.constructions.limits_of_products_and_equalizers
import Mathlib.category_theory.limits.constructions.over.connected
import Mathlib.category_theory.limits.constructions.over.default
import Mathlib.category_theory.limits.constructions.over.products
import Mathlib.category_theory.limits.constructions.pullbacks
import Mathlib.category_theory.limits.creates
import Mathlib.category_theory.limits.filtered_colimit_commutes_finite_limit
import Mathlib.category_theory.limits.fubini
import Mathlib.category_theory.limits.functor_category
import Mathlib.category_theory.limits.lattice
import Mathlib.category_theory.limits.limits
import Mathlib.category_theory.limits.opposites
import Mathlib.category_theory.limits.over
import Mathlib.category_theory.limits.pi
import Mathlib.category_theory.limits.preserves.basic
import Mathlib.category_theory.limits.preserves.functor_category
import Mathlib.category_theory.limits.preserves.limits
import Mathlib.category_theory.limits.preserves.shapes.binary_products
import Mathlib.category_theory.limits.preserves.shapes.equalizers
import Mathlib.category_theory.limits.preserves.shapes.products
import Mathlib.category_theory.limits.preserves.shapes.pullbacks
import Mathlib.category_theory.limits.preserves.shapes.terminal
import Mathlib.category_theory.limits.presheaf
import Mathlib.category_theory.limits.punit
import Mathlib.category_theory.limits.shapes.binary_products
import Mathlib.category_theory.limits.shapes.biproducts
import Mathlib.category_theory.limits.shapes.concrete_category
import Mathlib.category_theory.limits.shapes.constructions.finite_products_of_binary_products
import Mathlib.category_theory.limits.shapes.default
import Mathlib.category_theory.limits.shapes.equalizers
import Mathlib.category_theory.limits.shapes.finite_limits
import Mathlib.category_theory.limits.shapes.finite_products
import Mathlib.category_theory.limits.shapes.images
import Mathlib.category_theory.limits.shapes.kernel_pair
import Mathlib.category_theory.limits.shapes.kernels
import Mathlib.category_theory.limits.shapes.normal_mono
import Mathlib.category_theory.limits.shapes.products
import Mathlib.category_theory.limits.shapes.pullbacks
import Mathlib.category_theory.limits.shapes.reflexive
import Mathlib.category_theory.limits.shapes.regular_mono
import Mathlib.category_theory.limits.shapes.split_coequalizer
import Mathlib.category_theory.limits.shapes.strong_epi
import Mathlib.category_theory.limits.shapes.terminal
import Mathlib.category_theory.limits.shapes.types
import Mathlib.category_theory.limits.shapes.wide_pullbacks
import Mathlib.category_theory.limits.shapes.zero
import Mathlib.category_theory.limits.small_complete
import Mathlib.category_theory.limits.types
import Mathlib.category_theory.limits.yoneda
import Mathlib.category_theory.monad.adjunction
import Mathlib.category_theory.monad.algebra
import Mathlib.category_theory.monad.basic
import Mathlib.category_theory.monad.bundled
import Mathlib.category_theory.monad.coequalizer
import Mathlib.category_theory.monad.default
import Mathlib.category_theory.monad.equiv_mon
import Mathlib.category_theory.monad.kleisli
import Mathlib.category_theory.monad.limits
import Mathlib.category_theory.monad.monadicity
import Mathlib.category_theory.monad.products
import Mathlib.category_theory.monad.types
import Mathlib.category_theory.monoidal.braided
import Mathlib.category_theory.monoidal.category
import Mathlib.category_theory.monoidal.CommMon_
import Mathlib.category_theory.monoidal.discrete
import Mathlib.category_theory.monoidal.End
import Mathlib.category_theory.monoidal.functor
import Mathlib.category_theory.monoidal.functor_category
import Mathlib.category_theory.monoidal.functorial
import Mathlib.category_theory.monoidal.internal.functor_category
import Mathlib.category_theory.monoidal.internal.limits
import Mathlib.category_theory.monoidal.internal.Module
import Mathlib.category_theory.monoidal.internal.types
import Mathlib.category_theory.monoidal.limits
import Mathlib.category_theory.monoidal.Mod
import Mathlib.category_theory.monoidal.Mon_
import Mathlib.category_theory.monoidal.natural_transformation
import Mathlib.category_theory.monoidal.of_chosen_finite_products
import Mathlib.category_theory.monoidal.of_has_finite_products
import Mathlib.category_theory.monoidal.transport
import Mathlib.category_theory.monoidal.types
import Mathlib.category_theory.monoidal.unitors
import Mathlib.category_theory.natural_isomorphism
import Mathlib.category_theory.natural_transformation
import Mathlib.category_theory.opposites
import Mathlib.category_theory.over
import Mathlib.category_theory.pempty
import Mathlib.category_theory.pi.basic
import Mathlib.category_theory.preadditive.biproducts
import Mathlib.category_theory.preadditive.default
import Mathlib.category_theory.preadditive.schur
import Mathlib.category_theory.products.associator
import Mathlib.category_theory.products.basic
import Mathlib.category_theory.products.bifunctor
import Mathlib.category_theory.products.default
import Mathlib.category_theory.punit
import Mathlib.category_theory.quotient
import Mathlib.category_theory.reflects_isomorphisms
import Mathlib.category_theory.shift
import Mathlib.category_theory.sigma.basic
import Mathlib.category_theory.simple
import Mathlib.category_theory.single_obj
import Mathlib.category_theory.sites.canonical
import Mathlib.category_theory.sites.closed
import Mathlib.category_theory.sites.grothendieck
import Mathlib.category_theory.sites.pretopology
import Mathlib.category_theory.sites.sheaf_of_types
import Mathlib.category_theory.sites.sieves
import Mathlib.category_theory.sites.spaces
import Mathlib.category_theory.sites.types
import Mathlib.category_theory.skeletal
import Mathlib.category_theory.subterminal
import Mathlib.category_theory.sums.associator
import Mathlib.category_theory.sums.basic
import Mathlib.category_theory.sums.default
import Mathlib.category_theory.thin
import Mathlib.category_theory.types
import Mathlib.category_theory.whiskering
import Mathlib.category_theory.yoneda
import Mathlib.combinatorics.colex
import Mathlib.combinatorics.composition
import Mathlib.combinatorics.partition
import Mathlib.combinatorics.pigeonhole
import Mathlib.combinatorics.simple_graph.adj_matrix
import Mathlib.combinatorics.simple_graph.basic
import Mathlib.combinatorics.simple_graph.degree_sum
import Mathlib.combinatorics.simple_graph.matching
import Mathlib.computability.DFA
import Mathlib.computability.encoding
import Mathlib.computability.halting
import Mathlib.computability.language
import Mathlib.computability.NFA
import Mathlib.computability.partrec
import Mathlib.computability.partrec_code
import Mathlib.computability.primrec
import Mathlib.computability.reduce
import Mathlib.computability.regular_expressions
import Mathlib.computability.tm_computable
import Mathlib.computability.tm_to_partrec
import Mathlib.computability.turing_machine
import Mathlib.control.applicative
import Mathlib.control.basic
import Mathlib.control.bifunctor
import Mathlib.control.bitraversable.basic
import Mathlib.control.bitraversable.instances
import Mathlib.control.bitraversable.lemmas
import Mathlib.control.equiv_functor
import Mathlib.control.equiv_functor.instances
import Mathlib.control.fix
import Mathlib.control.fold
import Mathlib.control.functor
import Mathlib.control.functor.multivariate
import Mathlib.control.lawful_fix
import Mathlib.control.monad.basic
import Mathlib.control.monad.cont
import Mathlib.control.monad.writer
import Mathlib.control.traversable.basic
import Mathlib.control.traversable.default
import Mathlib.control.traversable.derive
import Mathlib.control.traversable.equiv
import Mathlib.control.traversable.instances
import Mathlib.control.traversable.lemmas
import Mathlib.control.uliftable
import Mathlib.data.analysis.filter
import Mathlib.data.analysis.topology
import Mathlib.data.array.lemmas
import Mathlib.data.bitvec.basic
import Mathlib.data.bitvec.core
import Mathlib.data.bool
import Mathlib.data.bracket
import Mathlib.data.buffer.basic
import Mathlib.data.buffer.parser.basic
import Mathlib.data.buffer.parser.numeral
import Mathlib.data.char
import Mathlib.data.complex.basic
import Mathlib.data.complex.exponential
import Mathlib.data.complex.exponential_bounds
import Mathlib.data.complex.is_R_or_C
import Mathlib.data.complex.module
import Mathlib.data.dfinsupp
import Mathlib.data.dlist.basic
import Mathlib.data.dlist.instances
import Mathlib.data.equiv.basic
import Mathlib.data.equiv.denumerable
import Mathlib.data.equiv.encodable.basic
import Mathlib.data.equiv.encodable.lattice
import Mathlib.data.equiv.fin
import Mathlib.data.equiv.functor
import Mathlib.data.equiv.list
import Mathlib.data.equiv.local_equiv
import Mathlib.data.equiv.mul_add
import Mathlib.data.equiv.mul_add_aut
import Mathlib.data.equiv.nat
import Mathlib.data.equiv.ring
import Mathlib.data.equiv.ring_aut
import Mathlib.data.equiv.transfer_instance
import Mathlib.data.erased
import Mathlib.data.fin
import Mathlib.data.fin2
import Mathlib.data.fin_enum
import Mathlib.data.finmap
import Mathlib.data.finset.basic
import Mathlib.data.finset.default
import Mathlib.data.finset.fold
import Mathlib.data.finset.gcd
import Mathlib.data.finset.intervals
import Mathlib.data.finset.lattice
import Mathlib.data.finset.nat_antidiagonal
import Mathlib.data.finset.order
import Mathlib.data.finset.pi
import Mathlib.data.finset.powerset
import Mathlib.data.finset.preimage
import Mathlib.data.finset.sort
import Mathlib.data.finsupp.basic
import Mathlib.data.finsupp.default
import Mathlib.data.finsupp.lattice
import Mathlib.data.finsupp.pointwise
import Mathlib.data.fintype.basic
import Mathlib.data.fintype.card
import Mathlib.data.fintype.intervals
import Mathlib.data.fintype.sort
import Mathlib.data.fp.basic
import Mathlib.data.hash_map
import Mathlib.data.holor
import Mathlib.data.indicator_function
import Mathlib.data.int.basic
import Mathlib.data.int.cast
import Mathlib.data.int.char_zero
import Mathlib.data.int.gcd
import Mathlib.data.int.modeq
import Mathlib.data.int.nat_prime
import Mathlib.data.int.parity
import Mathlib.data.int.range
import Mathlib.data.int.sqrt
import Mathlib.data.lazy_list.basic
import Mathlib.data.list.alist
import Mathlib.data.list.bag_inter
import Mathlib.data.list.basic
import Mathlib.data.list.chain
import Mathlib.data.list.default
import Mathlib.data.list.defs
import Mathlib.data.list.erase_dup
import Mathlib.data.list.forall2
import Mathlib.data.list.func
import Mathlib.data.list.indexes
import Mathlib.data.list.intervals
import Mathlib.data.list.min_max
import Mathlib.data.list.nat_antidiagonal
import Mathlib.data.list.nodup
import Mathlib.data.list.nodup_equiv_fin
import Mathlib.data.list.of_fn
import Mathlib.data.list.pairwise
import Mathlib.data.list.palindrome
import Mathlib.data.list.perm
import Mathlib.data.list.range
import Mathlib.data.list.rotate
import Mathlib.data.list.sections
import Mathlib.data.list.sigma
import Mathlib.data.list.sort
import Mathlib.data.list.tfae
import Mathlib.data.list.zip
import Mathlib.data.matrix.basic
import Mathlib.data.matrix.char_p
import Mathlib.data.matrix.notation
import Mathlib.data.matrix.pequiv
import Mathlib.data.mllist
import Mathlib.data.multiset.antidiagonal
import Mathlib.data.multiset.basic
import Mathlib.data.multiset.default
import Mathlib.data.multiset.erase_dup
import Mathlib.data.multiset.finset_ops
import Mathlib.data.multiset.fold
import Mathlib.data.multiset.functor
import Mathlib.data.multiset.gcd
import Mathlib.data.multiset.intervals
import Mathlib.data.multiset.lattice
import Mathlib.data.multiset.nat_antidiagonal
import Mathlib.data.multiset.nodup
import Mathlib.data.multiset.pi
import Mathlib.data.multiset.powerset
import Mathlib.data.multiset.range
import Mathlib.data.multiset.sections
import Mathlib.data.multiset.sort
import Mathlib.data.mv_polynomial.basic
import Mathlib.data.mv_polynomial.comap
import Mathlib.data.mv_polynomial.comm_ring
import Mathlib.data.mv_polynomial.counit
import Mathlib.data.mv_polynomial.default
import Mathlib.data.mv_polynomial.equiv
import Mathlib.data.mv_polynomial.expand
import Mathlib.data.mv_polynomial.funext
import Mathlib.data.mv_polynomial.invertible
import Mathlib.data.mv_polynomial.monad
import Mathlib.data.mv_polynomial.pderiv
import Mathlib.data.mv_polynomial.rename
import Mathlib.data.mv_polynomial.variables
import Mathlib.data.nat.basic
import Mathlib.data.nat.bitwise
import Mathlib.data.nat.cast
import Mathlib.data.nat.choose.basic
import Mathlib.data.nat.choose.default
import Mathlib.data.nat.choose.dvd
import Mathlib.data.nat.choose.sum
import Mathlib.data.nat.digits
import Mathlib.data.nat.dist
import Mathlib.data.nat.enat
import Mathlib.data.nat.factorial
import Mathlib.data.nat.fib
import Mathlib.data.nat.gcd
import Mathlib.data.nat.log
import Mathlib.data.nat.modeq
import Mathlib.data.nat.multiplicity
import Mathlib.data.nat.pairing
import Mathlib.data.nat.parity
import Mathlib.data.nat.prime
import Mathlib.data.nat.psub
import Mathlib.data.nat.sqrt
import Mathlib.data.nat.totient
import Mathlib.data.nat.upto
import Mathlib.data.nat.with_bot
import Mathlib.data.num.basic
import Mathlib.data.num.bitwise
import Mathlib.data.num.lemmas
import Mathlib.data.num.prime
import Mathlib.data.opposite
import Mathlib.data.option.basic
import Mathlib.data.option.defs
import Mathlib.data.ordmap.ordnode
import Mathlib.data.ordmap.ordset
import Mathlib.data.padics.default
import Mathlib.data.padics.hensel
import Mathlib.data.padics.padic_integers
import Mathlib.data.padics.padic_norm
import Mathlib.data.padics.padic_numbers
import Mathlib.data.padics.ring_homs
import Mathlib.data.pequiv
import Mathlib.data.pfun
import Mathlib.data.pfunctor.multivariate.basic
import Mathlib.data.pfunctor.multivariate.M
import Mathlib.data.pfunctor.multivariate.W
import Mathlib.data.pfunctor.univariate.basic
import Mathlib.data.pfunctor.univariate.default
import Mathlib.data.pfunctor.univariate.M
import Mathlib.data.pi
import Mathlib.data.pnat.basic
import Mathlib.data.pnat.factors
import Mathlib.data.pnat.intervals
import Mathlib.data.pnat.prime
import Mathlib.data.pnat.xgcd
import Mathlib.data.polynomial.algebra_map
import Mathlib.data.polynomial.basic
import Mathlib.data.polynomial.cancel_leads
import Mathlib.data.polynomial.coeff
import Mathlib.data.polynomial.default
import Mathlib.data.polynomial.degree.default
import Mathlib.data.polynomial.degree.definitions
import Mathlib.data.polynomial.degree.lemmas
import Mathlib.data.polynomial.degree.trailing_degree
import Mathlib.data.polynomial.denoms_clearable
import Mathlib.data.polynomial.derivative
import Mathlib.data.polynomial.div
import Mathlib.data.polynomial.erase_lead
import Mathlib.data.polynomial.eval
import Mathlib.data.polynomial.field_division
import Mathlib.data.polynomial.identities
import Mathlib.data.polynomial.induction
import Mathlib.data.polynomial.integral_normalization
import Mathlib.data.polynomial.iterated_deriv
import Mathlib.data.polynomial.lifts
import Mathlib.data.polynomial.monic
import Mathlib.data.polynomial.monomial
import Mathlib.data.polynomial.reverse
import Mathlib.data.polynomial.ring_division
import Mathlib.data.pprod
import Mathlib.data.prod
import Mathlib.data.qpf.multivariate.basic
import Mathlib.data.qpf.multivariate.constructions.cofix
import Mathlib.data.qpf.multivariate.constructions.comp
import Mathlib.data.qpf.multivariate.constructions.const
import Mathlib.data.qpf.multivariate.constructions.fix
import Mathlib.data.qpf.multivariate.constructions.prj
import Mathlib.data.qpf.multivariate.constructions.quot
import Mathlib.data.qpf.multivariate.constructions.sigma
import Mathlib.data.qpf.multivariate.default
import Mathlib.data.qpf.univariate.basic
import Mathlib.data.quaternion
import Mathlib.data.quot
import Mathlib.data.rat.basic
import Mathlib.data.rat.cast
import Mathlib.data.rat.default
import Mathlib.data.rat.denumerable
import Mathlib.data.rat.floor
import Mathlib.data.rat.meta_defs
import Mathlib.data.rat.order
import Mathlib.data.rat.sqrt
import Mathlib.data.real.basic
import Mathlib.data.real.cardinality
import Mathlib.data.real.cau_seq
import Mathlib.data.real.cau_seq_completion
import Mathlib.data.real.conjugate_exponents
import Mathlib.data.real.ennreal
import Mathlib.data.real.ereal
import Mathlib.data.real.golden_ratio
import Mathlib.data.real.hyperreal
import Mathlib.data.real.irrational
import Mathlib.data.real.nnreal
import Mathlib.data.real.pi
import Mathlib.data.real.sqrt
import Mathlib.data.rel
import Mathlib.data.semiquot
import Mathlib.data.seq.computation
import Mathlib.data.seq.parallel
import Mathlib.data.seq.seq
import Mathlib.data.seq.wseq
import Mathlib.data.set.accumulate
import Mathlib.data.set.basic
import Mathlib.data.set.constructions
import Mathlib.data.set.countable
import Mathlib.data.set.default
import Mathlib.data.set.disjointed
import Mathlib.data.set.enumerate
import Mathlib.data.set.finite
import Mathlib.data.set.function
import Mathlib.data.set.intervals.basic
import Mathlib.data.set.intervals.default
import Mathlib.data.set.intervals.disjoint
import Mathlib.data.set.intervals.image_preimage
import Mathlib.data.set.intervals.infinite
import Mathlib.data.set.intervals.ord_connected
import Mathlib.data.set.intervals.pi
import Mathlib.data.set.intervals.proj_Icc
import Mathlib.data.set.intervals.surj_on
import Mathlib.data.set.intervals.unordered_interval
import Mathlib.data.set.lattice
import Mathlib.data.setoid.basic
import Mathlib.data.setoid.partition
import Mathlib.data.sigma.basic
import Mathlib.data.sigma.default
import Mathlib.data.stream.basic
import Mathlib.data.string.basic
import Mathlib.data.string.defs
import Mathlib.data.subtype
import Mathlib.data.sum
import Mathlib.data.support
import Mathlib.data.sym
import Mathlib.data.sym2
import Mathlib.data.tprod
import Mathlib.data.tree
import Mathlib.data.typevec
import Mathlib.data.ulift
import Mathlib.data.vector2
import Mathlib.data.W
import Mathlib.data.zmod.basic
import Mathlib.data.zmod.parity
import Mathlib.data.zsqrtd.basic
import Mathlib.data.zsqrtd.gaussian_int
import Mathlib.data.zsqrtd.to_real
import Mathlib.deprecated.group
import Mathlib.deprecated.ring
import Mathlib.deprecated.subfield
import Mathlib.deprecated.subgroup
import Mathlib.deprecated.submonoid
import Mathlib.deprecated.subring
import Mathlib.dynamics.circle.rotation_number.translation_number
import Mathlib.dynamics.fixed_points.basic
import Mathlib.dynamics.fixed_points.topology
import Mathlib.dynamics.flow
import Mathlib.dynamics.omega_limit
import Mathlib.dynamics.periodic_pts
import Mathlib.field_theory.adjoin
import Mathlib.field_theory.algebraic_closure
import Mathlib.field_theory.chevalley_warning
import Mathlib.field_theory.finite.basic
import Mathlib.field_theory.finite.polynomial
import Mathlib.field_theory.fixed
import Mathlib.field_theory.galois
import Mathlib.field_theory.intermediate_field
import Mathlib.field_theory.minpoly
import Mathlib.field_theory.mv_polynomial
import Mathlib.field_theory.normal
import Mathlib.field_theory.perfect_closure
import Mathlib.field_theory.primitive_element
import Mathlib.field_theory.separable
import Mathlib.field_theory.splitting_field
import Mathlib.field_theory.subfield
import Mathlib.field_theory.tower
import Mathlib.geometry.euclidean.basic
import Mathlib.geometry.euclidean.circumcenter
import Mathlib.geometry.euclidean.default
import Mathlib.geometry.euclidean.monge_point
import Mathlib.geometry.euclidean.triangle
import Mathlib.geometry.manifold.algebra.lie_group
import Mathlib.geometry.manifold.algebra.monoid
import Mathlib.geometry.manifold.algebra.smooth_functions
import Mathlib.geometry.manifold.algebra.structures
import Mathlib.geometry.manifold.basic_smooth_bundle
import Mathlib.geometry.manifold.charted_space
import Mathlib.geometry.manifold.diffeomorph
import Mathlib.geometry.manifold.instances.real
import Mathlib.geometry.manifold.local_invariant_properties
import Mathlib.geometry.manifold.mfderiv
import Mathlib.geometry.manifold.smooth_manifold_with_corners
import Mathlib.geometry.manifold.times_cont_mdiff
import Mathlib.geometry.manifold.times_cont_mdiff_map
import Mathlib.group_theory.abelianization
import Mathlib.group_theory.archimedean
import Mathlib.group_theory.congruence
import Mathlib.group_theory.coset
import Mathlib.group_theory.dihedral
import Mathlib.group_theory.eckmann_hilton
import Mathlib.group_theory.free_abelian_group
import Mathlib.group_theory.free_group
import Mathlib.group_theory.group_action.basic
import Mathlib.group_theory.group_action.default
import Mathlib.group_theory.group_action.defs
import Mathlib.group_theory.group_action.group
import Mathlib.group_theory.group_action.sub_mul_action
import Mathlib.group_theory.monoid_localization
import Mathlib.group_theory.order_of_element
import Mathlib.group_theory.perm.basic
import Mathlib.group_theory.perm.cycles
import Mathlib.group_theory.perm.sign
import Mathlib.group_theory.perm.subgroup
import Mathlib.group_theory.presented_group
import Mathlib.group_theory.quotient_group
import Mathlib.group_theory.semidirect_product
import Mathlib.group_theory.solvable
import Mathlib.group_theory.subgroup
import Mathlib.group_theory.submonoid.basic
import Mathlib.group_theory.submonoid.default
import Mathlib.group_theory.submonoid.membership
import Mathlib.group_theory.submonoid.operations
import Mathlib.group_theory.sylow
import Mathlib.linear_algebra.adic_completion
import Mathlib.linear_algebra.affine_space.affine_equiv
import Mathlib.linear_algebra.affine_space.affine_map
import Mathlib.linear_algebra.affine_space.affine_subspace
import Mathlib.linear_algebra.affine_space.basic
import Mathlib.linear_algebra.affine_space.combination
import Mathlib.linear_algebra.affine_space.finite_dimensional
import Mathlib.linear_algebra.affine_space.independent
import Mathlib.linear_algebra.affine_space.midpoint
import Mathlib.linear_algebra.affine_space.ordered
import Mathlib.linear_algebra.alternating
import Mathlib.linear_algebra.basic
import Mathlib.linear_algebra.basis
import Mathlib.linear_algebra.bilinear_form
import Mathlib.linear_algebra.char_poly.basic
import Mathlib.linear_algebra.char_poly.coeff
import Mathlib.linear_algebra.clifford_algebra
import Mathlib.linear_algebra.contraction
import Mathlib.linear_algebra.default
import Mathlib.linear_algebra.determinant
import Mathlib.linear_algebra.dfinsupp
import Mathlib.linear_algebra.dimension
import Mathlib.linear_algebra.direct_sum.finsupp
import Mathlib.linear_algebra.direct_sum_module
import Mathlib.linear_algebra.direct_sum.tensor_product
import Mathlib.linear_algebra.dual
import Mathlib.linear_algebra.eigenspace
import Mathlib.linear_algebra.exterior_algebra
import Mathlib.linear_algebra.finite_dimensional
import Mathlib.linear_algebra.finsupp
import Mathlib.linear_algebra.finsupp_vector_space
import Mathlib.linear_algebra.invariant_basis_number
import Mathlib.linear_algebra.lagrange
import Mathlib.linear_algebra.linear_independent
import Mathlib.linear_algebra.linear_pmap
import Mathlib.linear_algebra.matrix
import Mathlib.linear_algebra.multilinear
import Mathlib.linear_algebra.nonsingular_inverse
import Mathlib.linear_algebra.pi_tensor_product
import Mathlib.linear_algebra.projection
import Mathlib.linear_algebra.quadratic_form
import Mathlib.linear_algebra.sesquilinear_form
import Mathlib.linear_algebra.smodeq
import Mathlib.linear_algebra.special_linear_group
import Mathlib.linear_algebra.tensor_algebra
import Mathlib.linear_algebra.tensor_product
import Mathlib.logic.basic
import Mathlib.logic.embedding
import Mathlib.logic.function.basic
import Mathlib.logic.function.conjugate
import Mathlib.logic.function.iterate
import Mathlib.logic.nontrivial
import Mathlib.logic.relation
import Mathlib.logic.relator
import Mathlib.logic.unique
import Mathlib.measure_theory.ae_eq_fun
import Mathlib.measure_theory.ae_measurable_sequence
import Mathlib.measure_theory.bochner_integration
import Mathlib.measure_theory.borel_space
import Mathlib.measure_theory.category.Meas
import Mathlib.measure_theory.content
import Mathlib.measure_theory.decomposition
import Mathlib.measure_theory.ess_sup
import Mathlib.measure_theory.giry_monad
import Mathlib.measure_theory.group
import Mathlib.measure_theory.haar_measure
import Mathlib.measure_theory.integration
import Mathlib.measure_theory.interval_integral
import Mathlib.measure_theory.l1_space
import Mathlib.measure_theory.lebesgue_measure
import Mathlib.measure_theory.lp_space
import Mathlib.measure_theory.measurable_space
import Mathlib.measure_theory.measure_space
import Mathlib.measure_theory.outer_measure
import Mathlib.measure_theory.pi
import Mathlib.measure_theory.probability_mass_function
import Mathlib.measure_theory.prod
import Mathlib.measure_theory.prod_group
import Mathlib.measure_theory.set_integral
import Mathlib.measure_theory.simple_func_dense
import Mathlib.meta.coinductive_predicates
import Mathlib.meta.expr
import Mathlib.meta.expr_lens
import Mathlib.meta.rb_map
import Mathlib.meta.uchange
import Mathlib.number_theory.arithmetic_function
import Mathlib.number_theory.basic
import Mathlib.number_theory.bernoulli
import Mathlib.number_theory.dioph
import Mathlib.number_theory.divisors
import Mathlib.number_theory.fermat4
import Mathlib.number_theory.lucas_lehmer
import Mathlib.number_theory.pell
import Mathlib.number_theory.primes_congruent_one
import Mathlib.number_theory.primorial
import Mathlib.number_theory.pythagorean_triples
import Mathlib.number_theory.quadratic_reciprocity
import Mathlib.number_theory.sum_four_squares
import Mathlib.number_theory.sum_two_squares
import Mathlib.order.atoms
import Mathlib.order.basic
import Mathlib.order.boolean_algebra
import Mathlib.order.bounded_lattice
import Mathlib.order.bounds
import Mathlib.order.category.LinearOrder
import Mathlib.order.category.NonemptyFinLinOrd
import Mathlib.order.category.omega_complete_partial_order
import Mathlib.order.category.PartialOrder
import Mathlib.order.category.Preorder
import Mathlib.order.closure
import Mathlib.order.compactly_generated
import Mathlib.order.complete_boolean_algebra
import Mathlib.order.complete_lattice
import Mathlib.order.conditionally_complete_lattice
import Mathlib.order.copy
import Mathlib.order.countable_dense_linear_order
import Mathlib.order.default
import Mathlib.order.directed
import Mathlib.order.filter.archimedean
import Mathlib.order.filter.at_top_bot
import Mathlib.order.filter.bases
import Mathlib.order.filter.basic
import Mathlib.order.filter.cofinite
import Mathlib.order.filter.countable_Inter
import Mathlib.order.filter.default
import Mathlib.order.filter.ennreal
import Mathlib.order.filter.extr
import Mathlib.order.filter.filter_product
import Mathlib.order.filter.germ
import Mathlib.order.filter.indicator_function
import Mathlib.order.filter.interval
import Mathlib.order.filter.lift
import Mathlib.order.filter.partial
import Mathlib.order.filter.pointwise
import Mathlib.order.filter.ultrafilter
import Mathlib.order.fixed_points
import Mathlib.order.galois_connection
import Mathlib.order.ideal
import Mathlib.order.iterate
import Mathlib.order.lattice
import Mathlib.order.lattice_intervals
import Mathlib.order.lexicographic
import Mathlib.order.liminf_limsup
import Mathlib.order.modular_lattice
import Mathlib.order.omega_complete_partial_order
import Mathlib.order.ord_continuous
import Mathlib.order.order_dual
import Mathlib.order.order_iso_nat
import Mathlib.order.pilex
import Mathlib.order.preorder_hom
import Mathlib.order.rel_classes
import Mathlib.order.rel_iso
import Mathlib.order.semiconj_Sup
import Mathlib.order.well_founded
import Mathlib.order.zorn
import Mathlib.probability_theory.independence
import Mathlib.representation_theory.maschke
import Mathlib.ring_theory.adjoin
import Mathlib.ring_theory.adjoin_root
import Mathlib.ring_theory.algebraic
import Mathlib.ring_theory.algebra_tower
import Mathlib.ring_theory.coprime
import Mathlib.ring_theory.dedekind_domain
import Mathlib.ring_theory.derivation
import Mathlib.ring_theory.discrete_valuation_ring
import Mathlib.ring_theory.eisenstein_criterion
import Mathlib.ring_theory.euclidean_domain
import Mathlib.ring_theory.finiteness
import Mathlib.ring_theory.fintype
import Mathlib.ring_theory.fractional_ideal
import Mathlib.ring_theory.free_comm_ring
import Mathlib.ring_theory.free_ring
import Mathlib.ring_theory.ideal.basic
import Mathlib.ring_theory.ideal.operations
import Mathlib.ring_theory.ideal.over
import Mathlib.ring_theory.ideal.prod
import Mathlib.ring_theory.int.basic
import Mathlib.ring_theory.integral_closure
import Mathlib.ring_theory.integral_domain
import Mathlib.ring_theory.jacobson
import Mathlib.ring_theory.jacobson_ideal
import Mathlib.ring_theory.localization
import Mathlib.ring_theory.matrix_algebra
import Mathlib.ring_theory.multiplicity
import Mathlib.ring_theory.noetherian
import Mathlib.ring_theory.non_zero_divisors
import Mathlib.ring_theory.nullstellensatz
import Mathlib.ring_theory.perfection
import Mathlib.ring_theory.polynomial_algebra
import Mathlib.ring_theory.polynomial.basic
import Mathlib.ring_theory.polynomial.chebyshev.basic
import Mathlib.ring_theory.polynomial.chebyshev.default
import Mathlib.ring_theory.polynomial.chebyshev.defs
import Mathlib.ring_theory.polynomial.content
import Mathlib.ring_theory.polynomial.cyclotomic
import Mathlib.ring_theory.polynomial.default
import Mathlib.ring_theory.polynomial.gauss_lemma
import Mathlib.ring_theory.polynomial.homogeneous
import Mathlib.ring_theory.polynomial.rational_root
import Mathlib.ring_theory.polynomial.scale_roots
import Mathlib.ring_theory.polynomial.symmetric
import Mathlib.ring_theory.power_basis
import Mathlib.ring_theory.power_series.basic
import Mathlib.ring_theory.power_series.well_known
import Mathlib.ring_theory.prime
import Mathlib.ring_theory.principal_ideal_domain
import Mathlib.ring_theory.ring_invo
import Mathlib.ring_theory.roots_of_unity
import Mathlib.ring_theory.simple_module
import Mathlib.ring_theory.subring
import Mathlib.ring_theory.subsemiring
import Mathlib.ring_theory.tensor_product
import Mathlib.ring_theory.unique_factorization_domain
import Mathlib.ring_theory.valuation.basic
import Mathlib.ring_theory.valuation.integers
import Mathlib.ring_theory.valuation.integral
import Mathlib.ring_theory.witt_vector.basic
import Mathlib.ring_theory.witt_vector.compare
import Mathlib.ring_theory.witt_vector.defs
import Mathlib.ring_theory.witt_vector.frobenius
import Mathlib.ring_theory.witt_vector.identities
import Mathlib.ring_theory.witt_vector.init_tail
import Mathlib.ring_theory.witt_vector.is_poly
import Mathlib.ring_theory.witt_vector.mul_p
import Mathlib.ring_theory.witt_vector.structure_polynomial
import Mathlib.ring_theory.witt_vector.teichmuller
import Mathlib.ring_theory.witt_vector.truncated
import Mathlib.ring_theory.witt_vector.verschiebung
import Mathlib.ring_theory.witt_vector.witt_polynomial
import Mathlib.set_theory.cardinal
import Mathlib.set_theory.cardinal_ordinal
import Mathlib.set_theory.cofinality
import Mathlib.set_theory.game
import Mathlib.set_theory.game.domineering
import Mathlib.set_theory.game.impartial
import Mathlib.set_theory.game.nim
import Mathlib.set_theory.game.short
import Mathlib.set_theory.game.state
import Mathlib.set_theory.game.winner
import Mathlib.set_theory.lists
import Mathlib.set_theory.ordinal
import Mathlib.set_theory.ordinal_arithmetic
import Mathlib.set_theory.ordinal_notation
import Mathlib.set_theory.pgame
import Mathlib.set_theory.schroeder_bernstein
import Mathlib.set_theory.surreal
import Mathlib.set_theory.zfc
import Mathlib.system.random.basic
import Mathlib.tactic.abel
import Mathlib.tactic.algebra
import Mathlib.tactic.alias
import Mathlib.tactic.apply
import Mathlib.tactic.apply_fun
import Mathlib.tactic.auto_cases
import Mathlib.tactic.basic
import Mathlib.tactic.binder_matching
import Mathlib.tactic.cache
import Mathlib.tactic.cancel_denoms
import Mathlib.tactic.chain
import Mathlib.tactic.choose
import Mathlib.tactic.clear
import Mathlib.tactic.congr
import Mathlib.tactic.converter.apply_congr
import Mathlib.tactic.converter.binders
import Mathlib.tactic.converter.interactive
import Mathlib.tactic.converter.old_conv
import Mathlib.tactic.core
import Mathlib.tactic.dec_trivial
import Mathlib.tactic.default
import Mathlib.tactic.delta_instance
import Mathlib.tactic.dependencies
import Mathlib.tactic.derive_fintype
import Mathlib.tactic.derive_inhabited
import Mathlib.tactic.doc_commands
import Mathlib.tactic.elide
import Mathlib.tactic.equiv_rw
import Mathlib.tactic.explode
import Mathlib.tactic.explode_widget
import Mathlib.tactic.ext
import Mathlib.tactic.field_simp
import Mathlib.tactic.fin_cases
import Mathlib.tactic.find
import Mathlib.tactic.find_unused
import Mathlib.tactic.finish
import Mathlib.tactic.fix_reflect_string
import Mathlib.tactic.fresh_names
import Mathlib.tactic.generalize_proofs
import Mathlib.tactic.generalizes
import Mathlib.tactic.group
import Mathlib.tactic.has_variable_names
import Mathlib.tactic.hint
import Mathlib.tactic.induction
import Mathlib.tactic.interactive
import Mathlib.tactic.interactive_expr
import Mathlib.tactic.interval_cases
import Mathlib.tactic.lean_core_docs
import Mathlib.tactic.lift
import Mathlib.tactic.linarith.datatypes
import Mathlib.tactic.linarith.default
import Mathlib.tactic.linarith.elimination
import Mathlib.tactic.linarith.frontend
import Mathlib.tactic.linarith.lemmas
import Mathlib.tactic.linarith.parsing
import Mathlib.tactic.linarith.preprocessing
import Mathlib.tactic.linarith.verification
import Mathlib.tactic.lint.basic
import Mathlib.tactic.lint.default
import Mathlib.tactic.lint.frontend
import Mathlib.tactic.lint.misc
import Mathlib.tactic.lint.simp
import Mathlib.tactic.lint.type_classes
import Mathlib.tactic.local_cache
import Mathlib.tactic.localized
import Mathlib.tactic.mk_iff_of_inductive_prop
import Mathlib.tactic.monotonicity.basic
import Mathlib.tactic.monotonicity.default
import Mathlib.tactic.monotonicity.interactive
import Mathlib.tactic.monotonicity.lemmas
import Mathlib.tactic.noncomm_ring
import Mathlib.tactic.norm_cast
import Mathlib.tactic.norm_num
import Mathlib.tactic.nth_rewrite.basic
import Mathlib.tactic.nth_rewrite.congr
import Mathlib.tactic.nth_rewrite.default
import Mathlib.tactic.obviously
import Mathlib.tactic.omega.clause
import Mathlib.tactic.omega.coeffs
import Mathlib.tactic.omega.default
import Mathlib.tactic.omega.eq_elim
import Mathlib.tactic.omega.find_ees
import Mathlib.tactic.omega.find_scalars
import Mathlib.tactic.omega.int.dnf
import Mathlib.tactic.omega.int.form
import Mathlib.tactic.omega.int.main
import Mathlib.tactic.omega.int.preterm
import Mathlib.tactic.omega.lin_comb
import Mathlib.tactic.omega.main
import Mathlib.tactic.omega.misc
import Mathlib.tactic.omega.nat.dnf
import Mathlib.tactic.omega.nat.form
import Mathlib.tactic.omega.nat.main
import Mathlib.tactic.omega.nat.neg_elim
import Mathlib.tactic.omega.nat.preterm
import Mathlib.tactic.omega.nat.sub_elim
import Mathlib.tactic.omega.prove_unsats
import Mathlib.tactic.omega.term
import Mathlib.tactic.pi_instances
import Mathlib.tactic.pretty_cases
import Mathlib.tactic.protected
import Mathlib.tactic.push_neg
import Mathlib.tactic.rcases
import Mathlib.tactic.reassoc_axiom
import Mathlib.tactic.rename_var
import Mathlib.tactic.replacer
import Mathlib.tactic.reserved_notation
import Mathlib.tactic.restate_axiom
import Mathlib.tactic.rewrite
import Mathlib.tactic.rewrite_all.basic
import Mathlib.tactic.rewrite_search.default
import Mathlib.tactic.rewrite_search.discovery
import Mathlib.tactic.rewrite_search.explain
import Mathlib.tactic.rewrite_search.frontend
import Mathlib.tactic.rewrite_search.search
import Mathlib.tactic.rewrite_search.types
import Mathlib.tactic.ring
import Mathlib.tactic.ring2
import Mathlib.tactic.ring_exp
import Mathlib.tactic.scc
import Mathlib.tactic.show_term
import Mathlib.tactic.simpa
import Mathlib.tactic.simp_command
import Mathlib.tactic.simp_result
import Mathlib.tactic.simp_rw
import Mathlib.tactic.simps
import Mathlib.tactic.slice
import Mathlib.tactic.slim_check
import Mathlib.tactic.solve_by_elim
import Mathlib.tactic.split_ifs
import Mathlib.tactic.squeeze
import Mathlib.tactic.subtype_instance
import Mathlib.tactic.suggest
import Mathlib.tactic.tauto
import Mathlib.tactic.tfae
import Mathlib.tactic.tidy
import Mathlib.tactic.transfer
import Mathlib.tactic.transform_decl
import Mathlib.tactic.transport
import Mathlib.tactic.trunc_cases
import Mathlib.tactic.unfold_cases
import Mathlib.tactic.unify_equations
import Mathlib.tactic.where
import Mathlib.tactic.with_local_reducibility
import Mathlib.tactic.wlog
import Mathlib.tactic.zify
import Mathlib.testing.slim_check.functions
import Mathlib.testing.slim_check.gen
import Mathlib.testing.slim_check.sampleable
import Mathlib.testing.slim_check.testable
import Mathlib.topology.algebra.affine
import Mathlib.topology.algebra.continuous_functions
import Mathlib.topology.algebra.floor_ring
import Mathlib.topology.algebra.group
import Mathlib.topology.algebra.group_completion
import Mathlib.topology.algebra.group_with_zero
import Mathlib.topology.algebra.infinite_sum
import Mathlib.topology.algebra.module
import Mathlib.topology.algebra.monoid
import Mathlib.topology.algebra.multilinear
import Mathlib.topology.algebra.open_subgroup
import Mathlib.topology.algebra.ordered
import Mathlib.topology.algebra.ordered.proj_Icc
import Mathlib.topology.algebra.polynomial
import Mathlib.topology.algebra.ring
import Mathlib.topology.algebra.uniform_group
import Mathlib.topology.algebra.uniform_ring
import Mathlib.topology.bases
import Mathlib.topology.basic
import Mathlib.topology.bounded_continuous_function
import Mathlib.topology.category.Compactum
import Mathlib.topology.category.CompHaus
import Mathlib.topology.category.Profinite
import Mathlib.topology.category.Top.adjunctions
import Mathlib.topology.category.Top.basic
import Mathlib.topology.category.TopCommRing
import Mathlib.topology.category.Top.default
import Mathlib.topology.category.Top.epi_mono
import Mathlib.topology.category.Top.limits
import Mathlib.topology.category.Top.open_nhds
import Mathlib.topology.category.Top.opens
import Mathlib.topology.category.UniformSpace
import Mathlib.topology.compact_open
import Mathlib.topology.compacts
import Mathlib.topology.constructions
import Mathlib.topology.continuous_map
import Mathlib.topology.continuous_on
import Mathlib.topology.dense_embedding
import Mathlib.topology.extend_from_subset
import Mathlib.topology.G_delta
import Mathlib.topology.homeomorph
import Mathlib.topology.instances.ennreal
import Mathlib.topology.instances.nnreal
import Mathlib.topology.instances.real
import Mathlib.topology.instances.real_vector_space
import Mathlib.topology.list
import Mathlib.topology.local_extr
import Mathlib.topology.local_homeomorph
import Mathlib.topology.maps
import Mathlib.topology.metric_space.antilipschitz
import Mathlib.topology.metric_space.baire
import Mathlib.topology.metric_space.basic
import Mathlib.topology.metric_space.cau_seq_filter
import Mathlib.topology.metric_space.closeds
import Mathlib.topology.metric_space.completion
import Mathlib.topology.metric_space.contracting
import Mathlib.topology.metric_space.emetric_space
import Mathlib.topology.metric_space.gluing
import Mathlib.topology.metric_space.gromov_hausdorff
import Mathlib.topology.metric_space.gromov_hausdorff_realized
import Mathlib.topology.metric_space.hausdorff_distance
import Mathlib.topology.metric_space.isometry
import Mathlib.topology.metric_space.lipschitz
import Mathlib.topology.metric_space.pi_Lp
import Mathlib.topology.metric_space.premetric_space
import Mathlib.topology.omega_complete_partial_order
import Mathlib.topology.opens
import Mathlib.topology.order
import Mathlib.topology.path_connected
import Mathlib.topology.separation
import Mathlib.topology.sequences
import Mathlib.topology.sheaves.forget
import Mathlib.topology.sheaves.limits
import Mathlib.topology.sheaves.local_predicate
import Mathlib.topology.sheaves.presheaf
import Mathlib.topology.sheaves.presheaf_of_functions
import Mathlib.topology.sheaves.sheaf
import Mathlib.topology.sheaves.sheaf_condition.equalizer_products
import Mathlib.topology.sheaves.sheaf_condition.opens_le_cover
import Mathlib.topology.sheaves.sheaf_condition.pairwise_intersections
import Mathlib.topology.sheaves.sheafify
import Mathlib.topology.sheaves.sheaf_of_functions
import Mathlib.topology.sheaves.stalks
import Mathlib.topology.stone_cech
import Mathlib.topology.subset_properties
import Mathlib.topology.tactic
import Mathlib.topology.topological_fiber_bundle
import Mathlib.topology.uniform_space.absolute_value
import Mathlib.topology.uniform_space.abstract_completion
import Mathlib.topology.uniform_space.basic
import Mathlib.topology.uniform_space.cauchy
import Mathlib.topology.uniform_space.compact_separated
import Mathlib.topology.uniform_space.compare_reals
import Mathlib.topology.uniform_space.complete_separated
import Mathlib.topology.uniform_space.completion
import Mathlib.topology.uniform_space.pi
import Mathlib.topology.uniform_space.separation
import Mathlib.topology.uniform_space.uniform_convergence
import Mathlib.topology.uniform_space.uniform_embedding
import Mathlib.PostPort
namespace Mathlib
|
d35103dd02859ee7237216cd1105da388f5b3bc8 | 159fed64bfae88f3b6a6166836d6278f953bcbf9 | /Structure/Generic/Axioms/AbstractFunctors.lean | 0ad677f6db20045d3b52a1f1400407f1d3a3577d | [
"MIT"
] | permissive | SReichelt/lean4-experiments | 3e56830c8b2fbe3814eda071c48e3c8810d254a8 | ff55357a01a34a91bf670d712637480089085ee4 | refs/heads/main | 1,683,977,454,907 | 1,622,991,121,000 | 1,622,991,121,000 | 340,765,677 | 2 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 13,009 | lean | import Structure.Generic.Axioms.Universes
import mathlib4_experiments.Data.Equiv.Basic
set_option autoBoundImplicitLocal false
--set_option pp.universes true
universes u v w
-- We additionally want "sort-like" types to have some concept of "functors" that map instances. Here, we
-- need to reconcile two conflicting requirements:
--
-- * We want a functor `F : α ⟶ β` with `α β : V` to be an instance of `V`, so that we can chain functors
-- as in `α ⟶ β ⟶ γ`.
--
-- * We axiomatically assert the existence of certain functors such as identity and composition, which we
-- assume to map instances in a specific way. We want this mapping to be a definitional equality so that
-- e.g. applying the identity functor is a trivial operation.
-- This implies that "functoriality" should be extra structure on functions, so that we can say that a
-- given function "is functorial".
--
-- In order to meet both requirements, we define both kinds of functors, and write `α ⟶ β` for the first
-- kind and `α ⟶' β` for a bundled version of the second kind, i.e. a function that is functorial. We
-- assert the equivalence of these two kinds of functors as an axiom.
--
-- In the case of `Bundled C`, we can make sure that `α ⟶' β` is actually an instance of the type class
-- `C`, so we can define `α ⟶ β` to be the same as `α ⟶' β`. However, in the case of `Sort u`, `α ⟶' β`
-- is not an instance of `Sort u` if `u = 0` (i.e. `Sort u` is actually `Prop`).
--
-- Moreover, `α ⟶' β` is defined so that `α` and `β` can live in different universes.
class HasExternalFunctors (U : Universe.{u}) (V : Universe.{v}) : Type (max u v) where
(IsFun {α : U} {β : V} : (α → β) → Sort (max u v))
structure BundledFunctor {U : Universe.{u}} {V : Universe.{v}} [h : HasExternalFunctors U V]
(α : U) (β : V) : Sort (max 1 u v) where
(f : α → β)
(isFun : h.IsFun f)
namespace BundledFunctor
infixr:20 " ⟶' " => BundledFunctor
variable {U V : Universe} [h : HasExternalFunctors U V]
instance coeFun (α : U) (β : V) : CoeFun (α ⟶' β) (λ _ => α → β) := ⟨BundledFunctor.f⟩
def mkFun {α : U} {β : V} {f : α → β} (hf : h.IsFun f) : α ⟶' β := ⟨f, hf⟩
end BundledFunctor
class HasInternalFunctors (U : Universe.{u}) extends HasExternalFunctors U U : Type u where
(Fun : U → U → U)
(funEquiv (α β : U) : ⌈Fun α β⌉ ≃ (α ⟶' β))
namespace HasInternalFunctors
infixr:20 " ⟶ " => HasInternalFunctors.Fun
variable {U : Universe} [h : HasInternalFunctors U]
def toBundled {α β : U} (F : α ⟶ β) : α ⟶' β := (h.funEquiv α β).toFun F
def fromBundled {α β : U} (F : α ⟶' β) : α ⟶ β := (h.funEquiv α β).invFun F
@[simp] theorem fromToBundled {α β : U} (F : α ⟶ β) : fromBundled (toBundled F) = F := (h.funEquiv α β).leftInv F
@[simp] theorem toFromBundled {α β : U} (F : α ⟶' β) : toBundled (fromBundled F) = F := (h.funEquiv α β).rightInv F
def funCoe {α β : U} (F : α ⟶ β) : α → β := (toBundled F).f
instance (α β : U) : CoeFun ⌈α ⟶ β⌉ (λ _ => α → β) := ⟨funCoe⟩
-- Workaround for cases where `coeFun` doesn't work.
notation:max F:max "⟮" x:0 "⟯" => HasInternalFunctors.funCoe F x
def isFun {α β : U} (F : α ⟶ β) : h.IsFun (funCoe F) := (toBundled F).isFun
theorem toBundled.eff {α β : U} (F : α ⟶ β) (a : α) : (toBundled F) a = F a := rfl
@[simp] theorem fromBundled.coe {α β : U} (F : α ⟶' β) : funCoe (fromBundled F) = F.f :=
congrArg BundledFunctor.f (toFromBundled F)
@[simp] theorem fromBundled.eff {α β : U} (F : α ⟶' β) (a : α) : (fromBundled F) a = F a :=
congrFun (fromBundled.coe F) a
def mkFun {α β : U} {f : α → β} (hf : h.IsFun f) : α ⟶ β := fromBundled (BundledFunctor.mkFun hf)
@[simp] theorem mkFun.eff {α β : U} {f : α → β} (hf : h.IsFun f) (a : α) :
(mkFun hf) a = f a :=
fromBundled.eff (BundledFunctor.mkFun hf) a
end HasInternalFunctors
@[simp] theorem elimRec {α : Sort u} {a a' : α} {ha : a = a'}
{T : α → Sort v} {x : T a}
{β : Sort w} {f : {a : α} → T a → β} :
@f a' (ha ▸ x) = f x :=
by subst ha; rfl
-- The following axioms are equivalent to asserting the existence of five functors with specified behavior:
-- id : `α ⟶ α, a ↦ a`
-- const : `β ⟶ (α ⟶ β), c ↦ (a ↦ c)`
-- app : `α ⟶ (α ⟶ β) ⟶ β, a ↦ (F ↦ F a)`
-- dup : `(α ⟶ α ⟶ β) ⟶ (α ⟶ β), F ↦ (a ↦ F a a)`
-- comp : `(α ⟶ β) ⟶ (β ⟶ γ) ⟶ (α ⟶ γ), F ↦ (G ↦ (a ↦ G (F a)))`
--
-- In `DerivedFunctors.lean`, we construct several other functors such as
-- swap : `(α ⟶ β ⟶ γ) ⟶ (β ⟶ α ⟶ γ), F ↦ (b ↦ (a ↦ F a b))`
-- subst : `(α ⟶ β ⟶ γ) ⟶ (α ⟶ β) ⟶ (α ⟶ γ), F ↦ (G ↦ (a ↦ F a (G a)))`
-- Using these, we can give a general algorithm for proving that a function is functorial.
class HasIdFun (U : Universe) [h : HasExternalFunctors U U] where
(idIsFun (α : U) : h.IsFun (λ a : α => a))
namespace HasIdFun
variable {U : Universe} [HasExternalFunctors U U] [h : HasIdFun U]
def idFun' (α : U) : α ⟶' α := BundledFunctor.mkFun (h.idIsFun α)
end HasIdFun
class HasConstFun (U V : Universe) [h : HasExternalFunctors U V] where
(constIsFun (α : U) {β : V} (c : β) : h.IsFun (λ a : α => c))
namespace HasConstFun
variable {U V : Universe} [HasExternalFunctors U V] [h : HasConstFun U V]
def constFun' (α : U) {β : V} (c : β) : α ⟶' β := BundledFunctor.mkFun (h.constIsFun α c)
end HasConstFun
class HasCompFun (U V W : Universe) [HasExternalFunctors U V] [HasExternalFunctors V W] [h : HasExternalFunctors U W] where
(compIsFun {α : U} {β : V} {γ : W} (F : α ⟶' β) (G : β ⟶' γ) : h.IsFun (λ a : α => G (F a)))
namespace HasCompFun
variable {U V W : Universe} [HasExternalFunctors U V] [HasExternalFunctors V W] [HasExternalFunctors U W] [h : HasCompFun U V W]
def compFun' {α : U} {β : V} {γ : W} (F : α ⟶' β) (G : β ⟶' γ) : α ⟶' γ := BundledFunctor.mkFun (h.compIsFun F G)
def revCompFun' {α : U} {β : V} {γ : W} (G : β ⟶' γ) (F : α ⟶' β) : α ⟶' γ := compFun' F G
infixr:90 " ⊙' " => HasCompFun.revCompFun'
end HasCompFun
class HasLinearFunOp (U : Universe) [h : HasInternalFunctors U] extends HasIdFun U, HasCompFun U U U where
(appIsFun {α : U} (a : α) (β : U) : h.IsFun (λ F : α ⟶ β => F a))
(appFunIsFun (α β : U) : h.IsFun (λ a : α => HasInternalFunctors.mkFun (appIsFun a β)))
(compFunIsFun {α β : U} (F : α ⟶' β) (γ : U) : h.IsFun (λ G : β ⟶ γ => HasInternalFunctors.mkFun (compIsFun F (HasInternalFunctors.toBundled G))))
(compFunFunIsFun (α β γ : U) : h.IsFun (λ F : α ⟶ β => HasInternalFunctors.mkFun (compFunIsFun (HasInternalFunctors.toBundled F) γ)))
namespace HasLinearFunOp
variable {U : Universe} [HasInternalFunctors U] [h : HasLinearFunOp U]
def idFun' (α : U) : α ⟶' α := HasIdFun.idFun' α
def idFun (α : U) : α ⟶ α := HasInternalFunctors.fromBundled (idFun' α)
@[simp] theorem idFun.eff (α : U) (a : α) : (idFun α) a = a :=
by apply HasInternalFunctors.fromBundled.eff
def appFun' {α : U} (a : α) (β : U) : (α ⟶ β) ⟶' β := BundledFunctor.mkFun (h.appIsFun a β)
def appFun {α : U} (a : α) (β : U) : (α ⟶ β) ⟶ β := HasInternalFunctors.fromBundled (appFun' a β)
@[simp] theorem appFun.eff {α : U} (a : α) (β : U) (F : α ⟶ β) : (appFun a β) F = F a :=
by apply HasInternalFunctors.fromBundled.eff
def appFunFun' (α β : U) : α ⟶' (α ⟶ β) ⟶ β := BundledFunctor.mkFun (h.appFunIsFun α β)
def appFunFun (α β : U) : α ⟶ (α ⟶ β) ⟶ β := HasInternalFunctors.fromBundled (appFunFun' α β)
@[simp] theorem appFunFun.eff (α β : U) (a : α) : (appFunFun α β) a = appFun a β :=
by apply HasInternalFunctors.fromBundled.eff
@[simp] theorem appFunFun.effEff (α β : U) (a : α) (F : α ⟶ β) : ((appFunFun α β) a) F = F a :=
by simp
def compFun' {α β γ : U} (F : α ⟶' β) (G : β ⟶' γ) : α ⟶' γ := HasCompFun.compFun' F G
def compFun {α β γ : U} (F : α ⟶ β) (G : β ⟶ γ) : α ⟶ γ :=
HasInternalFunctors.fromBundled (compFun' (HasInternalFunctors.toBundled F) (HasInternalFunctors.toBundled G))
@[simp] theorem compFun.eff {α β γ : U} (F : α ⟶ β) (G : β ⟶ γ) (a : α) : (compFun F G) a = G (F a) :=
by apply HasInternalFunctors.fromBundled.eff
def compFunFun' {α β : U} (F : α ⟶' β) (γ : U) : (β ⟶ γ) ⟶' (α ⟶ γ) := BundledFunctor.mkFun (h.compFunIsFun F γ)
def compFunFun {α β : U} (F : α ⟶ β) (γ : U) : (β ⟶ γ) ⟶ (α ⟶ γ) :=
HasInternalFunctors.fromBundled (compFunFun' (HasInternalFunctors.toBundled F) γ)
@[simp] theorem compFunFun.eff {α β : U} (F : α ⟶ β) (γ : U) (G : β ⟶ γ) : (compFunFun F γ) G = compFun F G :=
by apply HasInternalFunctors.fromBundled.eff
@[simp] theorem compFunFun.effEff {α β : U} (F : α ⟶ β) (γ : U) (G : β ⟶ γ) (a : α) : ((compFunFun F γ) G) a = G (F a) :=
by simp
def compFunFunFun' (α β γ : U) : (α ⟶ β) ⟶' (β ⟶ γ) ⟶ (α ⟶ γ) := BundledFunctor.mkFun (h.compFunFunIsFun α β γ)
def compFunFunFun (α β γ : U) : (α ⟶ β) ⟶ (β ⟶ γ) ⟶ (α ⟶ γ) := HasInternalFunctors.fromBundled (compFunFunFun' α β γ)
@[simp] theorem compFunFunFun.eff (α β γ : U) (F : α ⟶ β) : (compFunFunFun α β γ) F = compFunFun F γ :=
by apply HasInternalFunctors.fromBundled.eff
@[simp] theorem compFunFunFun.effEff (α β γ : U) (F : α ⟶ β) (G : β ⟶ γ) : ((compFunFunFun α β γ) F) G = compFun F G :=
by simp
@[simp] theorem compFunFunFun.effEffEff (α β γ : U) (F : α ⟶ β) (G : β ⟶ γ) (a : α) : (((compFunFunFun α β γ) F) G) a = G (F a) :=
by simp
end HasLinearFunOp
class HasSubLinearFunOp (U : Universe) [h : HasInternalFunctors U] extends HasConstFun U U where
(constFunIsFun (α β : U) : h.IsFun (λ c : β => HasInternalFunctors.mkFun (constIsFun α c)))
namespace HasSubLinearFunOp
variable {U : Universe} [HasInternalFunctors U] [h : HasSubLinearFunOp U]
def constFun' (α : U) {β : U} (c : β) : α ⟶' β := HasConstFun.constFun' α c
def constFun (α : U) {β : U} (c : β) : α ⟶ β := HasInternalFunctors.fromBundled (constFun' α c)
@[simp] theorem constFun.eff (α : U) {β : U} (c : β) (a : α) : (constFun α c) a = c :=
by apply HasInternalFunctors.fromBundled.eff
def constFunFun' (α β : U) : β ⟶' (α ⟶ β) := BundledFunctor.mkFun (h.constFunIsFun α β)
def constFunFun (α β : U) : β ⟶ (α ⟶ β) := HasInternalFunctors.fromBundled (constFunFun' α β)
@[simp] theorem constFunFun.eff (α β : U) (c : β) : (constFunFun α β) c = constFun α c :=
by apply HasInternalFunctors.fromBundled.eff
@[simp] theorem constFunFun.effEff (α β : U) (c : β) (a : α) : ((constFunFun α β) c) a = c :=
by simp
end HasSubLinearFunOp
class HasAffineFunOp (U : Universe) [h : HasInternalFunctors U] extends HasLinearFunOp U, HasSubLinearFunOp U
class HasNonLinearFunOp (U : Universe) [h : HasInternalFunctors U] where
(dupIsFun {α β : U} (F : α ⟶' α ⟶ β) : h.IsFun (λ a : α => F a a))
(dupFunIsFun (α β : U) : h.IsFun (λ F : α ⟶ α ⟶ β => HasInternalFunctors.mkFun (dupIsFun (HasInternalFunctors.toBundled F))))
namespace HasNonLinearFunOp
variable {U : Universe} [HasInternalFunctors U] [h : HasNonLinearFunOp U]
def dupFun' {α β : U} (F : α ⟶' α ⟶ β) : α ⟶' β := BundledFunctor.mkFun (h.dupIsFun F)
def dupFun {α β : U} (F : α ⟶ α ⟶ β) : α ⟶ β :=
HasInternalFunctors.fromBundled (dupFun' (HasInternalFunctors.toBundled F))
@[simp] theorem dupFun.eff {α β : U} (F : α ⟶ α ⟶ β) (a : α) : (dupFun F) a = F a a :=
by apply HasInternalFunctors.fromBundled.eff
def dupFunFun' (α β : U) : (α ⟶ α ⟶ β) ⟶' (α ⟶ β) := BundledFunctor.mkFun (h.dupFunIsFun α β)
def dupFunFun (α β : U) : (α ⟶ α ⟶ β) ⟶ (α ⟶ β) := HasInternalFunctors.fromBundled (dupFunFun' α β)
@[simp] theorem dupFunFun.eff (α β : U) (F : α ⟶ α ⟶ β) : (dupFunFun α β) F = dupFun F :=
by apply HasInternalFunctors.fromBundled.eff
@[simp] theorem dupFunFun.effEff (α β : U) (F : α ⟶ α ⟶ β) (a : α) : ((dupFunFun α β) F) a = F a a :=
by simp
end HasNonLinearFunOp
class HasFullFunOp (U : Universe) [h : HasInternalFunctors U] extends HasAffineFunOp U, HasNonLinearFunOp U
class HasFunOp (U : Universe.{u}) extends HasInternalFunctors U, HasFullFunOp U : Type u
|
1f3cea11b36ce5ae715b5de2a3eb294ddf9ff797 | 618003631150032a5676f229d13a079ac875ff77 | /src/algebra/midpoint.lean | ef9c97a73814d1237398ecac12067aaf1ae2a93b | [
"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 | 5,305 | lean | /-
Copyright (c) 2020 Yury Kudryashov. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Author: Yury Kudryashov
-/
import algebra.module
import algebra.invertible
/-!
# Midpoint of a segment
## Main definitions
* `midpoint R x y`: midpoint of the segment `[x, y]`. We define it for `x` and `y`
in a module over a ring `R` with invertible `2`.
* `add_monoid_hom.of_map_midpoint`: construct an `add_monoid_hom` given a map `f` such that
`f` sends zero to zero and midpoints to midpoints.
## Main theorems
* `midpoint_eq_iff`: `z` is the midpoint of `[x, y]` if and only if `x + y = z + z`,
* `midpoint_unique`: `midpoint R x y` does not depend on `R`;
* `midpoint x y` is linear both in `x` and `y`;
* `point_reflection_midpoint_left`, `point_reflection_midpoint_right`:
`equiv.point_reflection (midpoint R x y)` swaps `x` and `y`.
We do not mark most lemmas as `@[simp]` because it is hard to tell which side is simpler.
## Tags
midpoint, add_monoid_hom
-/
variables (R : Type*) {E : Type*}
section monoid
variables [semiring R] [invertible (2:R)] [add_comm_monoid E] [semimodule R E]
/-- `midpoint x y` is the midpoint of the segment `[x, y]`. -/
def midpoint (x y : E) : E := (⅟2:R) • (x + y)
lemma midpoint_eq_iff {x y z : E} : midpoint R x y = z ↔ x + y = z + z :=
⟨λ h, h ▸ calc x + y = (2 * ⅟2:R) • (x + y) : by rw [mul_inv_of_self, one_smul]
... = midpoint R x y + midpoint R x y : by rw [two_mul, add_smul, midpoint],
λ h, by rw [midpoint, h, ← two_smul R z, smul_smul, inv_of_mul_self, one_smul]⟩
@[simp] lemma midpoint_add_self (x y : E) : midpoint R x y + midpoint R x y = x + y :=
((midpoint_eq_iff R).1 rfl).symm
/-- `midpoint` does not depend on the ring `R`. -/
lemma midpoint_unique (R' : Type*) [semiring R'] [invertible (2:R')] [semimodule R' E] (x y : E) :
midpoint R x y = midpoint R' x y :=
(midpoint_eq_iff R).2 $ (midpoint_eq_iff R').1 rfl
@[simp] lemma midpoint_self (x : E) : midpoint R x x = x :=
by rw [midpoint, smul_add, ← two_smul R, smul_smul, mul_inv_of_self, one_smul]
variable {R}
lemma midpoint_def (x y : E) : midpoint R x y = (⅟2:R) • (x + y) := rfl
lemma midpoint_comm (x y : E) : midpoint R x y = midpoint R y x :=
by simp only [midpoint_def, add_comm]
lemma midpoint_zero_add (x y : E) : midpoint R 0 (x + y) = midpoint R x y :=
(midpoint_eq_iff R).2 $ (zero_add (x + y)).symm ▸ (midpoint_eq_iff R).1 rfl
lemma midpoint_add_add (x y x' y' : E) :
midpoint R (x + x') (y + y') = midpoint R x y + midpoint R x' y' :=
by { simp only [midpoint_def, ← smul_add, add_assoc, add_left_comm x'] }
lemma midpoint_add_right (x y z : E) : midpoint R (x + z) (y + z) = midpoint R x y + z :=
by rw [midpoint_add_add, midpoint_self]
lemma midpoint_add_left (x y z : E) : midpoint R (x + y) (x + z) = x + midpoint R y z :=
by rw [midpoint_add_add, midpoint_self]
lemma midpoint_smul_smul (c : R) (x y : E) : midpoint R (c • x) (c • y) = c • midpoint R x y :=
(midpoint_eq_iff R).2 $ by rw [← smul_add, ← smul_add, (midpoint_eq_iff R).1 rfl]
end monoid
section group
variables [ring R] [invertible (2:R)] [add_comm_group E] [module R E]
lemma midpoint_neg_neg (x y : E) : midpoint R (-x) (-y) = -midpoint R x y :=
by simpa only [neg_one_smul] using midpoint_smul_smul (-1:R) x y
lemma midpoint_sub_sub (x y x' y' : E) :
midpoint R (x - x') (y - y') = midpoint R x y - midpoint R x' y' :=
by simp only [sub_eq_add_neg, midpoint_add_add, midpoint_neg_neg]
lemma midpoint_sub_right (x y z : E) : midpoint R (x - z) (y - z) = midpoint R x y - z :=
by rw [midpoint_sub_sub, midpoint_self]
lemma midpoint_sub_left (x y z : E) : midpoint R (x - y) (x - z) = x - midpoint R y z :=
by rw [midpoint_sub_sub, midpoint_self]
end group
namespace add_monoid_hom
variables (R) (R' : Type*) {F : Type*}
[semiring R] [invertible (2:R)] [add_comm_monoid E] [semimodule R E]
[semiring R'] [invertible (2:R')] [add_comm_monoid F] [semimodule R' F]
/-- A map `f : E → F` sending zero to zero and midpoints to midpoints is an `add_monoid_hom`. -/
def of_map_midpoint (f : E → F) (h0 : f 0 = 0)
(hm : ∀ x y, f (midpoint R x y) = midpoint R' (f x) (f y)) :
E →+ F :=
{ to_fun := f,
map_zero' := h0,
map_add' := λ x y, -- by rw [← midpoint_self R (x + y), ← midpoint_zero_add, hm, h0]
calc f (x + y) = f 0 + f (x + y) : by rw [h0, zero_add]
... = midpoint R' (f 0) (f (x + y)) + midpoint R' (f 0) (f (x + y)) :
(midpoint_add_self _ _ _).symm
... = f (midpoint R x y) + f (midpoint R x y) : by rw [← hm, midpoint_zero_add]
... = f x + f y : by rw [hm, midpoint_add_self] }
@[simp] lemma coe_of_map_midpoint (f : E → F) (h0 : f 0 = 0)
(hm : ∀ x y, f (midpoint R x y) = midpoint R' (f x) (f y)) :
⇑(of_map_midpoint R R' f h0 hm) = f := rfl
end add_monoid_hom
namespace equiv
variables [ring R] [invertible (2:R)] [add_comm_group E] [module R E]
@[simp] lemma point_reflection_midpoint_left (x y : E) :
(point_reflection (midpoint R x y) : E → E) x = y :=
by rw [point_reflection_apply, midpoint_add_self, add_sub_cancel']
@[simp] lemma point_reflection_midpoint_right (x y : E) :
(point_reflection (midpoint R x y) : E → E) y = x :=
by rw [point_reflection_apply, midpoint_add_self, add_sub_cancel]
end equiv
|
286b334bccbdf468145f4f58a3082d98fa543fd3 | 958488bc7f3c2044206e0358e56d7690b6ae696c | /lean/simp.lean | 4d815cfacd2931d504fcfad914d8353f65c0acef | [] | no_license | possientis/Prog | a08eec1c1b121c2fd6c70a8ae89e2fbef952adb4 | d4b3debc37610a88e0dac3ac5914903604fd1d1f | refs/heads/master | 1,692,263,717,723 | 1,691,757,179,000 | 1,691,757,179,000 | 40,361,602 | 3 | 0 | null | 1,679,896,438,000 | 1,438,953,859,000 | Coq | UTF-8 | Lean | false | false | 2,898 | lean | import init.data.list.basic
open list
lemma L1 : ∀ (x y z : ℕ), (x + 0) * (0 + y * 1 + z * 0) = x * y :=
assume x y z,
begin
simp
end
--#check L1
lemma L2 : ∀ (x y z : ℕ) (p : nat → Prop), p (x * y) → p ((x + 0) * (0 + y * 1 + z * 0)) :=
assume x y z p H, by { simp, assumption }
--#check L2
/-
lemma L3 : ∀ (xs : list ℕ), reverse (xs ++ [1,2,3]) = [3,2,1] ++ reverse xs :=
assume xs,
begin
simp
end
-/
local attribute [simp] mul_comm mul_assoc mul_left_comm
lemma L4 : ∀ (x y z w : ℕ), x * y + z * w * x = x * w * z + y * x :=
assume x y z w,
begin
simp
end
--#check L4
--#check @mul_left_comm
lemma L5 : ∀ (x y z w : ℕ) (p : ℕ → Prop),
p (x * y + z * w * x) → p (x * w * z + y * x) :=
assume x y z w p H,
begin
simp, simp at H, assumption
end
--#check L5
variables {α : Type} [comm_ring α]
lemma L6 : ∀ (x y z:α), (x - x) * y + z = z :=
assume x y z,
begin
simp
end
--#check @L6
lemma L7 : ∀ (x y z w:α), x * y + z * w * x = x * w * z + y * x :=
assume x y z w,
begin
simp
end
--#check @L7
def f (m n : ℕ) : ℕ := m + n + m
lemma L8 : ∀ {m n : ℕ}, n = 1 → 0 = m → (f m n) * m = m :=
assume m n H1 H2,
begin
simp [f, H2.symm]
end
--#check @L8
lemma L9 : ∀ (f : ℕ → ℕ) (k : ℕ), f 0 = 0 → k = 0 → f k = 0 :=
assume f k H1 H2,
begin
simp [H2, H1]
end
--#check L9
lemma L10 : ∀ (f : ℕ → ℕ) (k : ℕ), f 0 = 0 → k = 0 → f k = 0 :=
assume f k H1 H2,
begin
simp *
end
--#check L10
lemma L11 : ∀ (u w x y z : ℕ), x = y + z → w = u + x → w = z + y + u :=
assume u w x y z H1 H2, by simp *
--#check L11
lemma L12 : ∀ (p q : Prop), p → (p ∧ q <-> q) :=
assume p q Hp, by simp *
--#check L12
lemma L13 : ∀ (p q : Prop), p → p ∨ q := assume p q H, by simp *
--#check L13
lemma L14 : ∀ (p q r : Prop), p → q → p ∧ (q ∨ r) :=
assume p q r Hp Hq, by simp *
--#check L14
lemma L15 : ∀ (x x' y y' : ℕ),
x + 0 = x' → y + 0 = y' → x + y + 0 = x' + y' :=
assume x x' y y' Hx Hy,
begin
simp at Hx, simp at Hy, simp *
end
--#check L15
lemma L16 : ∀ (x y z u w : ℕ) (p: ℕ → Prop),
x = y + z →
w = u + x →
p (z + y + u) →
p w := assume x y z u w p H1 H2 H3,
begin
simp at *, simp *
end
--#check L16
universe u
def mk_symm {α : Type} (xs : list α) : list α := xs ++ reverse xs
--#check @mk_symm
/-
lemma L17 : ∀ (α:Type) (xs ys:list α), reverse (xs ++ ys) = reverse ys ++ reverse xs :=
assume α xs ys,
begin
induction xs with xs xs,
begin simp * end
end
-/
/-
lemma L17 : ∀ (α : Type) (xs : list α), reverse (mk_symm xs) = mk_symm xs :=
assume α xs,
begin
unfold mk_symm,
end
-/
|
f4a71d3907bbe2cc4239de09cd07b1ce51d88869 | 74addaa0e41490cbaf2abd313a764c96df57b05d | /Mathlib/category_theory/equivalence_auto.lean | 61a81b65b2d471c019aeac7112619083efbf988e | [] | 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 | 29,745 | lean | /-
Copyright (c) 2017 Scott Morrison. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Tim Baumann, Stephen Morgan, Scott Morrison, Floris van Doorn
-/
import Mathlib.PrePort
import Mathlib.Lean3Lib.init.default
import Mathlib.category_theory.fully_faithful
import Mathlib.category_theory.whiskering
import Mathlib.category_theory.essential_image
import Mathlib.tactic.slice
import Mathlib.PostPort
universes v₁ v₂ u₁ u₂ l u₃ v₃
namespace Mathlib
/-!
# Equivalence of categories
An equivalence of categories `C` and `D` is a pair of functors `F : C ⥤ D` and `G : D ⥤ C` such
that `η : 𝟭 C ≅ F ⋙ G` and `ε : G ⋙ F ≅ 𝟭 D`. In many situations, equivalences are a better
notion of "sameness" of categories than the stricter isomorphims of categories.
Recall that one way to express that two functors `F : C ⥤ D` and `G : D ⥤ C` are adjoint is using
two natural transformations `η : 𝟭 C ⟶ F ⋙ G` and `ε : G ⋙ F ⟶ 𝟭 D`, called the unit and the
counit, such that the compositions `F ⟶ FGF ⟶ F` and `G ⟶ GFG ⟶ G` are the identity. Unfortunately,
it is not the case that the natural isomorphisms `η` and `ε` in the definition of an equivalence
automatically give an adjunction. However, it is true that
* if one of the two compositions is the identity, then so is the other, and
* given an equivalence of categories, it is always possible to refine `η` in such a way that the
identities are satisfied.
For this reason, in mathlib we define an equivalence to be a "half-adjoint equivalence", which is
a tuple `(F, G, η, ε)` as in the first paragraph such that the composite `F ⟶ FGF ⟶ F` is the
identity. By the remark above, this already implies that the tuple is an "adjoint equivalence",
i.e., that the composite `G ⟶ GFG ⟶ G` is also the identity.
We also define essentially surjective functors and show that a functor is an equivalence if and only
if it is full, faithful and essentially surjective.
## Main definitions
* `equivalence`: bundled (half-)adjoint equivalences of categories
* `is_equivalence`: type class on a functor `F` containing the data of the inverse `G` as well as
the natural isomorphisms `η` and `ε`.
* `ess_surj`: type class on a functor `F` containing the data of the preimages and the isomorphisms
`F.obj (preimage d) ≅ d`.
## Main results
* `equivalence.mk`: upgrade an equivalence to a (half-)adjoint equivalence
* `equivalence_of_fully_faithfully_ess_surj`: a fully faithful essentially surjective functor is an
equivalence.
## Notations
We write `C ≌ D` (`\backcong`, not to be confused with `≅`/`\cong`) for a bundled equivalence.
-/
namespace category_theory
/-- We define an equivalence as a (half)-adjoint equivalence, a pair of functors with
a unit and counit which are natural isomorphisms and the triangle law `Fη ≫ εF = 1`, or in other
words the composite `F ⟶ FGF ⟶ F` is the identity.
In `unit_inverse_comp`, we show that this is actually an adjoint equivalence, i.e., that the
composite `G ⟶ GFG ⟶ G` is also the identity.
The triangle equation is written as a family of equalities between morphisms, it is more
complicated if we write it as an equality of natural transformations, because then we would have
to insert natural transformations like `F ⟶ F1`.
See https://stacks.math.columbia.edu/tag/001J
-/
structure equivalence (C : Type u₁) [category C] (D : Type u₂) [category D] where
mk' ::
(functor : C ⥤ D)
(inverse : D ⥤ C)
(unit_iso : 𝟭 ≅ functor ⋙ inverse)
(counit_iso : inverse ⋙ functor ≅ 𝟭)
(functor_unit_iso_comp' :
autoParam
(∀ (X : C),
functor.map functor (nat_trans.app (iso.hom unit_iso) X) ≫
nat_trans.app (iso.hom counit_iso) (functor.obj functor X) =
𝟙)
(Lean.Syntax.ident Lean.SourceInfo.none (String.toSubstring "Mathlib.obviously")
(Lean.Name.mkStr (Lean.Name.mkStr Lean.Name.anonymous "Mathlib") "obviously") []))
theorem equivalence.functor_unit_iso_comp {C : Type u₁} [category C] {D : Type u₂} [category D]
(c : equivalence C D) (X : C) :
functor.map (equivalence.functor c) (nat_trans.app (iso.hom (equivalence.unit_iso c)) X) ≫
nat_trans.app (iso.hom (equivalence.counit_iso c))
(functor.obj (equivalence.functor c) X) =
𝟙 :=
sorry
infixr:10 " ≌ " => Mathlib.category_theory.equivalence
namespace equivalence
/-- The unit of an equivalence of categories. -/
/-- The counit of an equivalence of categories. -/
def unit {C : Type u₁} [category C] {D : Type u₂} [category D] (e : C ≌ D) :
𝟭 ⟶ functor e ⋙ inverse e :=
iso.hom (unit_iso e)
/-- The inverse of the unit of an equivalence of categories. -/
def counit {C : Type u₁} [category C] {D : Type u₂} [category D] (e : C ≌ D) :
inverse e ⋙ functor e ⟶ 𝟭 :=
iso.hom (counit_iso e)
/-- The inverse of the counit of an equivalence of categories. -/
def unit_inv {C : Type u₁} [category C] {D : Type u₂} [category D] (e : C ≌ D) :
functor e ⋙ inverse e ⟶ 𝟭 :=
iso.inv (unit_iso e)
def counit_inv {C : Type u₁} [category C] {D : Type u₂} [category D] (e : C ≌ D) :
𝟭 ⟶ inverse e ⋙ functor e :=
iso.inv (counit_iso e)
/- While these abbreviations are convenient, they also cause some trouble,
preventing structure projections from unfolding. -/
@[simp] theorem equivalence_mk'_unit {C : Type u₁} [category C] {D : Type u₂} [category D]
(functor : C ⥤ D) (inverse : D ⥤ C) (unit_iso : 𝟭 ≅ functor ⋙ inverse)
(counit_iso : inverse ⋙ functor ≅ 𝟭)
(f :
autoParam
(∀ (X : C),
functor.map functor (nat_trans.app (iso.hom unit_iso) X) ≫
nat_trans.app (iso.hom counit_iso) (functor.obj functor X) =
𝟙)
(Lean.Syntax.ident Lean.SourceInfo.none (String.toSubstring "Mathlib.obviously")
(Lean.Name.mkStr (Lean.Name.mkStr Lean.Name.anonymous "Mathlib") "obviously") [])) :
unit (mk' functor inverse unit_iso counit_iso) = iso.hom unit_iso :=
rfl
@[simp] theorem equivalence_mk'_counit {C : Type u₁} [category C] {D : Type u₂} [category D]
(functor : C ⥤ D) (inverse : D ⥤ C) (unit_iso : 𝟭 ≅ functor ⋙ inverse)
(counit_iso : inverse ⋙ functor ≅ 𝟭)
(f :
autoParam
(∀ (X : C),
functor.map functor (nat_trans.app (iso.hom unit_iso) X) ≫
nat_trans.app (iso.hom counit_iso) (functor.obj functor X) =
𝟙)
(Lean.Syntax.ident Lean.SourceInfo.none (String.toSubstring "Mathlib.obviously")
(Lean.Name.mkStr (Lean.Name.mkStr Lean.Name.anonymous "Mathlib") "obviously") [])) :
counit (mk' functor inverse unit_iso counit_iso) = iso.hom counit_iso :=
rfl
@[simp] theorem equivalence_mk'_unit_inv {C : Type u₁} [category C] {D : Type u₂} [category D]
(functor : C ⥤ D) (inverse : D ⥤ C) (unit_iso : 𝟭 ≅ functor ⋙ inverse)
(counit_iso : inverse ⋙ functor ≅ 𝟭)
(f :
autoParam
(∀ (X : C),
functor.map functor (nat_trans.app (iso.hom unit_iso) X) ≫
nat_trans.app (iso.hom counit_iso) (functor.obj functor X) =
𝟙)
(Lean.Syntax.ident Lean.SourceInfo.none (String.toSubstring "Mathlib.obviously")
(Lean.Name.mkStr (Lean.Name.mkStr Lean.Name.anonymous "Mathlib") "obviously") [])) :
unit_inv (mk' functor inverse unit_iso counit_iso) = iso.inv unit_iso :=
rfl
@[simp] theorem equivalence_mk'_counit_inv {C : Type u₁} [category C] {D : Type u₂} [category D]
(functor : C ⥤ D) (inverse : D ⥤ C) (unit_iso : 𝟭 ≅ functor ⋙ inverse)
(counit_iso : inverse ⋙ functor ≅ 𝟭)
(f :
autoParam
(∀ (X : C),
functor.map functor (nat_trans.app (iso.hom unit_iso) X) ≫
nat_trans.app (iso.hom counit_iso) (functor.obj functor X) =
𝟙)
(Lean.Syntax.ident Lean.SourceInfo.none (String.toSubstring "Mathlib.obviously")
(Lean.Name.mkStr (Lean.Name.mkStr Lean.Name.anonymous "Mathlib") "obviously") [])) :
counit_inv (mk' functor inverse unit_iso counit_iso) = iso.inv counit_iso :=
rfl
@[simp] theorem functor_unit_comp {C : Type u₁} [category C] {D : Type u₂} [category D] (e : C ≌ D)
(X : C) :
functor.map (functor e) (nat_trans.app (unit e) X) ≫
nat_trans.app (counit e) (functor.obj (functor e) X) =
𝟙 :=
functor_unit_iso_comp e X
@[simp] theorem counit_inv_functor_comp {C : Type u₁} [category C] {D : Type u₂} [category D]
(e : C ≌ D) (X : C) :
nat_trans.app (counit_inv e) (functor.obj (functor e) X) ≫
functor.map (functor e) (nat_trans.app (unit_inv e) X) =
𝟙 :=
sorry
theorem counit_inv_app_functor {C : Type u₁} [category C] {D : Type u₂} [category D] (e : C ≌ D)
(X : C) :
nat_trans.app (counit_inv e) (functor.obj (functor e) X) =
functor.map (functor e) (nat_trans.app (unit e) X) :=
sorry
theorem counit_app_functor {C : Type u₁} [category C] {D : Type u₂} [category D] (e : C ≌ D)
(X : C) :
nat_trans.app (counit e) (functor.obj (functor e) X) =
functor.map (functor e) (nat_trans.app (unit_inv e) X) :=
sorry
/-- The other triangle equality. The proof follows the following proof in Globular:
http://globular.science/1905.001 -/
@[simp] theorem unit_inverse_comp {C : Type u₁} [category C] {D : Type u₂} [category D] (e : C ≌ D)
(Y : D) :
nat_trans.app (unit e) (functor.obj (inverse e) Y) ≫
functor.map (inverse e) (nat_trans.app (counit e) Y) =
𝟙 :=
sorry
@[simp] theorem inverse_counit_inv_comp {C : Type u₁} [category C] {D : Type u₂} [category D]
(e : C ≌ D) (Y : D) :
functor.map (inverse e) (nat_trans.app (counit_inv e) Y) ≫
nat_trans.app (unit_inv e) (functor.obj (inverse e) Y) =
𝟙 :=
sorry
theorem unit_app_inverse {C : Type u₁} [category C] {D : Type u₂} [category D] (e : C ≌ D) (Y : D) :
nat_trans.app (unit e) (functor.obj (inverse e) Y) =
functor.map (inverse e) (nat_trans.app (counit_inv e) Y) :=
sorry
theorem unit_inv_app_inverse {C : Type u₁} [category C] {D : Type u₂} [category D] (e : C ≌ D)
(Y : D) :
nat_trans.app (unit_inv e) (functor.obj (inverse e) Y) =
functor.map (inverse e) (nat_trans.app (counit e) Y) :=
sorry
@[simp] theorem fun_inv_map {C : Type u₁} [category C] {D : Type u₂} [category D] (e : C ≌ D)
(X : D) (Y : D) (f : X ⟶ Y) :
functor.map (functor e) (functor.map (inverse e) f) =
nat_trans.app (counit e) X ≫ f ≫ nat_trans.app (counit_inv e) Y :=
Eq.symm (nat_iso.naturality_2 (counit_iso e) f)
@[simp] theorem inv_fun_map {C : Type u₁} [category C] {D : Type u₂} [category D] (e : C ≌ D)
(X : C) (Y : C) (f : X ⟶ Y) :
functor.map (inverse e) (functor.map (functor e) f) =
nat_trans.app (unit_inv e) X ≫ f ≫ nat_trans.app (unit e) Y :=
Eq.symm (nat_iso.naturality_1 (unit_iso e) f)
-- In this section we convert an arbitrary equivalence to a half-adjoint equivalence.
/-- If `η : 𝟭 C ≅ F ⋙ G` is part of a (not necessarily half-adjoint) equivalence, we can upgrade it
to a refined natural isomorphism `adjointify_η η : 𝟭 C ≅ F ⋙ G` which exhibits the properties
required for a half-adjoint equivalence. See `equivalence.mk`. -/
def adjointify_η {C : Type u₁} [category C] {D : Type u₂} [category D] {F : C ⥤ D} {G : D ⥤ C}
(η : 𝟭 ≅ F ⋙ G) (ε : G ⋙ F ≅ 𝟭) : 𝟭 ≅ F ⋙ G :=
(((((η ≪≫ iso_whisker_left F (iso.symm (functor.left_unitor G))) ≪≫
iso_whisker_left F (iso_whisker_right (iso.symm ε) G)) ≪≫
iso_whisker_left F (functor.associator G F G)) ≪≫
iso.symm (functor.associator F G (F ⋙ G))) ≪≫
iso_whisker_right (iso.symm η) (F ⋙ G)) ≪≫
functor.left_unitor (F ⋙ G)
theorem adjointify_η_ε {C : Type u₁} [category C] {D : Type u₂} [category D] {F : C ⥤ D} {G : D ⥤ C}
(η : 𝟭 ≅ F ⋙ G) (ε : G ⋙ F ≅ 𝟭) (X : C) :
functor.map F (nat_trans.app (iso.hom (adjointify_η η ε)) X) ≫
nat_trans.app (iso.hom ε) (functor.obj F X) =
𝟙 :=
sorry
/-- Every equivalence of categories consisting of functors `F` and `G` such that `F ⋙ G` and
`G ⋙ F` are naturally isomorphic to identity functors can be transformed into a half-adjoint
equivalence without changing `F` or `G`. -/
protected def mk {C : Type u₁} [category C] {D : Type u₂} [category D] (F : C ⥤ D) (G : D ⥤ C)
(η : 𝟭 ≅ F ⋙ G) (ε : G ⋙ F ≅ 𝟭) : C ≌ D :=
mk' F G (adjointify_η η ε) ε
/-- Equivalence of categories is reflexive. -/
@[simp] theorem refl_functor {C : Type u₁} [category C] : functor refl = 𝟭 := Eq.refl (functor refl)
protected instance inhabited {C : Type u₁} [category C] : Inhabited (C ≌ C) := { default := refl }
/-- Equivalence of categories is symmetric. -/
@[simp] theorem symm_counit_iso {C : Type u₁} [category C] {D : Type u₂} [category D] (e : C ≌ D) :
counit_iso (symm e) = iso.symm (unit_iso e) :=
Eq.refl (counit_iso (symm e))
/-- Equivalence of categories is transitive. -/
@[simp] theorem trans_unit_iso {C : Type u₁} [category C] {D : Type u₂} [category D] {E : Type u₃}
[category E] (e : C ≌ D) (f : D ≌ E) :
unit_iso (trans e f) =
unit_iso e ≪≫ iso_whisker_left (functor e) (iso_whisker_right (unit_iso f) (inverse e)) :=
Eq.refl (unit_iso (trans e f))
/-- Composing a functor with both functors of an equivalence yields a naturally isomorphic functor. -/
def fun_inv_id_assoc {C : Type u₁} [category C] {D : Type u₂} [category D] {E : Type u₃}
[category E] (e : C ≌ D) (F : C ⥤ E) : functor e ⋙ inverse e ⋙ F ≅ F :=
iso.symm (functor.associator (functor e) (inverse e) F) ≪≫
iso_whisker_right (iso.symm (unit_iso e)) F ≪≫ functor.left_unitor F
@[simp] theorem fun_inv_id_assoc_hom_app {C : Type u₁} [category C] {D : Type u₂} [category D]
{E : Type u₃} [category E] (e : C ≌ D) (F : C ⥤ E) (X : C) :
nat_trans.app (iso.hom (fun_inv_id_assoc e F)) X =
functor.map F (nat_trans.app (unit_inv e) X) :=
sorry
@[simp] theorem fun_inv_id_assoc_inv_app {C : Type u₁} [category C] {D : Type u₂} [category D]
{E : Type u₃} [category E] (e : C ≌ D) (F : C ⥤ E) (X : C) :
nat_trans.app (iso.inv (fun_inv_id_assoc e F)) X = functor.map F (nat_trans.app (unit e) X) :=
sorry
/-- Composing a functor with both functors of an equivalence yields a naturally isomorphic functor. -/
def inv_fun_id_assoc {C : Type u₁} [category C] {D : Type u₂} [category D] {E : Type u₃}
[category E] (e : C ≌ D) (F : D ⥤ E) : inverse e ⋙ functor e ⋙ F ≅ F :=
iso.symm (functor.associator (inverse e) (functor e) F) ≪≫
iso_whisker_right (counit_iso e) F ≪≫ functor.left_unitor F
@[simp] theorem inv_fun_id_assoc_hom_app {C : Type u₁} [category C] {D : Type u₂} [category D]
{E : Type u₃} [category E] (e : C ≌ D) (F : D ⥤ E) (X : D) :
nat_trans.app (iso.hom (inv_fun_id_assoc e F)) X = functor.map F (nat_trans.app (counit e) X) :=
sorry
@[simp] theorem inv_fun_id_assoc_inv_app {C : Type u₁} [category C] {D : Type u₂} [category D]
{E : Type u₃} [category E] (e : C ≌ D) (F : D ⥤ E) (X : D) :
nat_trans.app (iso.inv (inv_fun_id_assoc e F)) X =
functor.map F (nat_trans.app (counit_inv e) X) :=
sorry
/-- If `C` is equivalent to `D`, then `C ⥤ E` is equivalent to `D ⥤ E`. -/
@[simp] theorem congr_left_unit_iso {C : Type u₁} [category C] {D : Type u₂} [category D]
{E : Type u₃} [category E] (e : C ≌ D) :
unit_iso (congr_left e) =
adjointify_η
(nat_iso.of_components (fun (F : C ⥤ E) => iso.symm (fun_inv_id_assoc e F))
(congr_left._proof_1 e))
(nat_iso.of_components (inv_fun_id_assoc e) (congr_left._proof_2 e)) :=
Eq.refl
(adjointify_η
(nat_iso.of_components (fun (F : C ⥤ E) => iso.symm (fun_inv_id_assoc e F))
(congr_left._proof_1 e))
(nat_iso.of_components (inv_fun_id_assoc e) (congr_left._proof_2 e)))
/-- If `C` is equivalent to `D`, then `E ⥤ C` is equivalent to `E ⥤ D`. -/
@[simp] theorem congr_right_functor {C : Type u₁} [category C] {D : Type u₂} [category D]
{E : Type u₃} [category E] (e : C ≌ D) :
functor (congr_right e) = functor.obj (whiskering_right E C D) (functor e) :=
Eq.refl (functor.obj (whiskering_right E C D) (functor e))
-- We need special forms of `cancel_nat_iso_hom_right(_assoc)` and `cancel_nat_iso_inv_right(_assoc)`
-- for units and counits, because neither `simp` or `rw` will apply those lemmas in this
-- setting without providing `e.unit_iso` (or similar) as an explicit argument.
-- We also provide the lemmas for length four compositions, since they're occasionally useful.
-- (e.g. in proving that equivalences take monos to monos)
@[simp] theorem cancel_unit_right {C : Type u₁} [category C] {D : Type u₂} [category D] (e : C ≌ D)
{X : C} {Y : C} (f : X ⟶ Y) (f' : X ⟶ Y) :
f ≫ nat_trans.app (unit e) Y = f' ≫ nat_trans.app (unit e) Y ↔ f = f' :=
sorry
@[simp] theorem cancel_unit_inv_right {C : Type u₁} [category C] {D : Type u₂} [category D]
(e : C ≌ D) {X : C} {Y : C} (f : X ⟶ functor.obj (inverse e) (functor.obj (functor e) Y))
(f' : X ⟶ functor.obj (inverse e) (functor.obj (functor e) Y)) :
f ≫ nat_trans.app (unit_inv e) Y = f' ≫ nat_trans.app (unit_inv e) Y ↔ f = f' :=
sorry
@[simp] theorem cancel_counit_right {C : Type u₁} [category C] {D : Type u₂} [category D]
(e : C ≌ D) {X : D} {Y : D} (f : X ⟶ functor.obj (functor e) (functor.obj (inverse e) Y))
(f' : X ⟶ functor.obj (functor e) (functor.obj (inverse e) Y)) :
f ≫ nat_trans.app (counit e) Y = f' ≫ nat_trans.app (counit e) Y ↔ f = f' :=
sorry
@[simp] theorem cancel_counit_inv_right {C : Type u₁} [category C] {D : Type u₂} [category D]
(e : C ≌ D) {X : D} {Y : D} (f : X ⟶ Y) (f' : X ⟶ Y) :
f ≫ nat_trans.app (counit_inv e) Y = f' ≫ nat_trans.app (counit_inv e) Y ↔ f = f' :=
sorry
@[simp] theorem cancel_unit_right_assoc {C : Type u₁} [category C] {D : Type u₂} [category D]
(e : C ≌ D) {W : C} {X : C} {X' : C} {Y : C} (f : W ⟶ X) (g : X ⟶ Y) (f' : W ⟶ X')
(g' : X' ⟶ Y) :
f ≫ g ≫ nat_trans.app (unit e) Y = f' ≫ g' ≫ nat_trans.app (unit e) Y ↔ f ≫ g = f' ≫ g' :=
sorry
@[simp] theorem cancel_counit_inv_right_assoc {C : Type u₁} [category C] {D : Type u₂} [category D]
(e : C ≌ D) {W : D} {X : D} {X' : D} {Y : D} (f : W ⟶ X) (g : X ⟶ Y) (f' : W ⟶ X')
(g' : X' ⟶ Y) :
f ≫ g ≫ nat_trans.app (counit_inv e) Y = f' ≫ g' ≫ nat_trans.app (counit_inv e) Y ↔
f ≫ g = f' ≫ g' :=
sorry
@[simp] theorem cancel_unit_right_assoc' {C : Type u₁} [category C] {D : Type u₂} [category D]
(e : C ≌ D) {W : C} {X : C} {X' : C} {Y : C} {Y' : C} {Z : C} (f : W ⟶ X) (g : X ⟶ Y)
(h : Y ⟶ Z) (f' : W ⟶ X') (g' : X' ⟶ Y') (h' : Y' ⟶ Z) :
f ≫ g ≫ h ≫ nat_trans.app (unit e) Z = f' ≫ g' ≫ h' ≫ nat_trans.app (unit e) Z ↔
f ≫ g ≫ h = f' ≫ g' ≫ h' :=
sorry
@[simp] theorem cancel_counit_inv_right_assoc' {C : Type u₁} [category C] {D : Type u₂} [category D]
(e : C ≌ D) {W : D} {X : D} {X' : D} {Y : D} {Y' : D} {Z : D} (f : W ⟶ X) (g : X ⟶ Y)
(h : Y ⟶ Z) (f' : W ⟶ X') (g' : X' ⟶ Y') (h' : Y' ⟶ Z) :
f ≫ g ≫ h ≫ nat_trans.app (counit_inv e) Z = f' ≫ g' ≫ h' ≫ nat_trans.app (counit_inv e) Z ↔
f ≫ g ≫ h = f' ≫ g' ≫ h' :=
sorry
-- There's of course a monoid structure on `C ≌ C`,
-- but let's not encourage using it.
-- The power structure is nevertheless useful.
/-- Powers of an auto-equivalence. -/
def pow {C : Type u₁} [category C] (e : C ≌ C) : ℤ → (C ≌ C) := sorry
protected instance int.has_pow {C : Type u₁} [category C] : has_pow (C ≌ C) ℤ := has_pow.mk pow
@[simp] theorem pow_zero {C : Type u₁} [category C] (e : C ≌ C) : e ^ 0 = refl := rfl
@[simp] theorem pow_one {C : Type u₁} [category C] (e : C ≌ C) : e ^ 1 = e := rfl
@[simp] theorem pow_minus_one {C : Type u₁} [category C] (e : C ≌ C) : e ^ (-1) = symm e := rfl
-- TODO as necessary, add the natural isomorphisms `(e^a).trans e^b ≅ e^(a+b)`.
-- At this point, we haven't even defined the category of equivalences.
end equivalence
/-- A functor that is part of a (half) adjoint equivalence -/
class is_equivalence {C : Type u₁} [category C] {D : Type u₂} [category D] (F : C ⥤ D) where
mk' ::
(inverse : D ⥤ C)
(unit_iso : 𝟭 ≅ F ⋙ inverse)
(counit_iso : inverse ⋙ F ≅ 𝟭)
(functor_unit_iso_comp' :
autoParam
(∀ (X : C),
functor.map F (nat_trans.app (iso.hom unit_iso) X) ≫
nat_trans.app (iso.hom counit_iso) (functor.obj F X) =
𝟙)
(Lean.Syntax.ident Lean.SourceInfo.none (String.toSubstring "Mathlib.obviously")
(Lean.Name.mkStr (Lean.Name.mkStr Lean.Name.anonymous "Mathlib") "obviously") []))
theorem is_equivalence.functor_unit_iso_comp {C : Type u₁} [category C] {D : Type u₂} [category D]
{F : C ⥤ D} [c : is_equivalence F] (X : C) :
functor.map F (nat_trans.app (iso.hom is_equivalence.unit_iso) X) ≫
nat_trans.app (iso.hom is_equivalence.counit_iso) (functor.obj F X) =
𝟙 :=
sorry
namespace is_equivalence
protected instance of_equivalence {C : Type u₁} [category C] {D : Type u₂} [category D]
(F : C ≌ D) : is_equivalence (equivalence.functor F) :=
mk' (equivalence.inverse F) (equivalence.unit_iso F) (equivalence.counit_iso F)
protected instance of_equivalence_inverse {C : Type u₁} [category C] {D : Type u₂} [category D]
(F : C ≌ D) : is_equivalence (equivalence.inverse F) :=
is_equivalence.of_equivalence (equivalence.symm F)
/-- To see that a functor is an equivalence, it suffices to provide an inverse functor `G` such that
`F ⋙ G` and `G ⋙ F` are naturally isomorphic to identity functors. -/
protected def mk {C : Type u₁} [category C] {D : Type u₂} [category D] {F : C ⥤ D} (G : D ⥤ C)
(η : 𝟭 ≅ F ⋙ G) (ε : G ⋙ F ≅ 𝟭) : is_equivalence F :=
mk' G (equivalence.adjointify_η η ε) ε
end is_equivalence
namespace functor
/-- Interpret a functor that is an equivalence as an equivalence. -/
def as_equivalence {C : Type u₁} [category C] {D : Type u₂} [category D] (F : C ⥤ D)
[is_equivalence F] : C ≌ D :=
equivalence.mk' F (is_equivalence.inverse F) is_equivalence.unit_iso is_equivalence.counit_iso
protected instance is_equivalence_refl {C : Type u₁} [category C] : is_equivalence 𝟭 :=
is_equivalence.of_equivalence equivalence.refl
/-- The inverse functor of a functor that is an equivalence. -/
def inv {C : Type u₁} [category C] {D : Type u₂} [category D] (F : C ⥤ D) [is_equivalence F] :
D ⥤ C :=
is_equivalence.inverse F
protected instance is_equivalence_inv {C : Type u₁} [category C] {D : Type u₂} [category D]
(F : C ⥤ D) [is_equivalence F] : is_equivalence (inv F) :=
is_equivalence.of_equivalence (equivalence.symm (as_equivalence F))
@[simp] theorem as_equivalence_functor {C : Type u₁} [category C] {D : Type u₂} [category D]
(F : C ⥤ D) [is_equivalence F] : equivalence.functor (as_equivalence F) = F :=
rfl
@[simp] theorem as_equivalence_inverse {C : Type u₁} [category C] {D : Type u₂} [category D]
(F : C ⥤ D) [is_equivalence F] : equivalence.inverse (as_equivalence F) = inv F :=
rfl
@[simp] theorem inv_inv {C : Type u₁} [category C] {D : Type u₂} [category D] (F : C ⥤ D)
[is_equivalence F] : inv (inv F) = F :=
rfl
/-- The composition of functor that is an equivalence with its inverse is naturally isomorphic to
the identity functor. -/
def fun_inv_id {C : Type u₁} [category C] {D : Type u₂} [category D] (F : C ⥤ D)
[is_equivalence F] : F ⋙ inv F ≅ 𝟭 :=
iso.symm is_equivalence.unit_iso
/-- The composition of functor that is an equivalence with its inverse is naturally isomorphic to
the identity functor. -/
def inv_fun_id {C : Type u₁} [category C] {D : Type u₂} [category D] (F : C ⥤ D)
[is_equivalence F] : inv F ⋙ F ≅ 𝟭 :=
is_equivalence.counit_iso
protected instance is_equivalence_trans {C : Type u₁} [category C] {D : Type u₂} [category D]
{E : Type u₃} [category E] (F : C ⥤ D) (G : D ⥤ E) [is_equivalence F] [is_equivalence G] :
is_equivalence (F ⋙ G) :=
is_equivalence.of_equivalence (equivalence.trans (as_equivalence F) (as_equivalence G))
end functor
namespace equivalence
@[simp] theorem functor_inv {C : Type u₁} [category C] {D : Type u₂} [category D] (E : C ≌ D) :
functor.inv (functor E) = inverse E :=
rfl
@[simp] theorem inverse_inv {C : Type u₁} [category C] {D : Type u₂} [category D] (E : C ≌ D) :
functor.inv (inverse E) = functor E :=
rfl
@[simp] theorem functor_as_equivalence {C : Type u₁} [category C] {D : Type u₂} [category D]
(E : C ≌ D) : functor.as_equivalence (functor E) = E :=
sorry
@[simp] theorem inverse_as_equivalence {C : Type u₁} [category C] {D : Type u₂} [category D]
(E : C ≌ D) : functor.as_equivalence (inverse E) = symm E :=
sorry
end equivalence
namespace is_equivalence
@[simp] theorem fun_inv_map {C : Type u₁} [category C] {D : Type u₂} [category D] (F : C ⥤ D)
[is_equivalence F] (X : D) (Y : D) (f : X ⟶ Y) :
functor.map F (functor.map (functor.inv F) f) =
nat_trans.app (iso.hom (functor.inv_fun_id F)) X ≫
f ≫ nat_trans.app (iso.inv (functor.inv_fun_id F)) Y :=
sorry
@[simp] theorem inv_fun_map {C : Type u₁} [category C] {D : Type u₂} [category D] (F : C ⥤ D)
[is_equivalence F] (X : C) (Y : C) (f : X ⟶ Y) :
functor.map (functor.inv F) (functor.map F f) =
nat_trans.app (iso.hom (functor.fun_inv_id F)) X ≫
f ≫ nat_trans.app (iso.inv (functor.fun_inv_id F)) Y :=
sorry
-- We should probably restate many of the lemmas about `equivalence` for `is_equivalence`,
-- but these are the only ones I need for now.
@[simp] theorem functor_unit_comp {C : Type u₁} [category C] {D : Type u₂} [category D] (E : C ⥤ D)
[is_equivalence E] (Y : C) :
functor.map E (nat_trans.app (iso.inv (functor.fun_inv_id E)) Y) ≫
nat_trans.app (iso.hom (functor.inv_fun_id E)) (functor.obj E Y) =
𝟙 :=
equivalence.functor_unit_comp (functor.as_equivalence E) Y
@[simp] theorem inv_fun_id_inv_comp {C : Type u₁} [category C] {D : Type u₂} [category D]
(E : C ⥤ D) [is_equivalence E] (Y : C) :
nat_trans.app (iso.inv (functor.inv_fun_id E)) (functor.obj E Y) ≫
functor.map E (nat_trans.app (iso.hom (functor.fun_inv_id E)) Y) =
𝟙 :=
eq_of_inv_eq_inv (functor_unit_comp E Y)
end is_equivalence
namespace equivalence
/--
An equivalence is essentially surjective.
See https://stacks.math.columbia.edu/tag/02C3.
-/
theorem ess_surj_of_equivalence {C : Type u₁} [category C] {D : Type u₂} [category D] (F : C ⥤ D)
[is_equivalence F] : ess_surj F :=
ess_surj.mk
fun (Y : D) =>
Exists.intro (functor.obj (functor.inv F) Y)
(Nonempty.intro (iso.app (functor.inv_fun_id F) Y))
/--
An equivalence is faithful.
See https://stacks.math.columbia.edu/tag/02C3.
-/
protected instance faithful_of_equivalence {C : Type u₁} [category C] {D : Type u₂} [category D]
(F : C ⥤ D) [is_equivalence F] : faithful F :=
faithful.mk
/--
An equivalence is full.
See https://stacks.math.columbia.edu/tag/02C3.
-/
protected instance full_of_equivalence {C : Type u₁} [category C] {D : Type u₂} [category D]
(F : C ⥤ D) [is_equivalence F] : full F :=
full.mk
fun (X Y : C) (f : functor.obj F X ⟶ functor.obj F Y) =>
nat_trans.app (iso.inv (functor.fun_inv_id F)) X ≫
functor.map (functor.inv F) f ≫ nat_trans.app (iso.hom (functor.fun_inv_id F)) Y
/--
A functor which is full, faithful, and essentially surjective is an equivalence.
See https://stacks.math.columbia.edu/tag/02C3.
-/
def equivalence_of_fully_faithfully_ess_surj {C : Type u₁} [category C] {D : Type u₂} [category D]
(F : C ⥤ D) [full F] [faithful F] [ess_surj F] : is_equivalence F :=
is_equivalence.mk (equivalence_inverse F)
(nat_iso.of_components
(fun (X : C) => iso.symm (preimage_iso (functor.obj_obj_preimage_iso F (functor.obj F X))))
sorry)
(nat_iso.of_components (functor.obj_obj_preimage_iso F) sorry)
@[simp] theorem functor_map_inj_iff {C : Type u₁} [category C] {D : Type u₂} [category D]
(e : C ≌ D) {X : C} {Y : C} (f : X ⟶ Y) (g : X ⟶ Y) :
functor.map (functor e) f = functor.map (functor e) g ↔ f = g :=
{ mp :=
fun (h : functor.map (functor e) f = functor.map (functor e) g) =>
functor.map_injective (functor e) h,
mpr := fun (h : f = g) => h ▸ rfl }
@[simp] theorem inverse_map_inj_iff {C : Type u₁} [category C] {D : Type u₂} [category D]
(e : C ≌ D) {X : D} {Y : D} (f : X ⟶ Y) (g : X ⟶ Y) :
functor.map (inverse e) f = functor.map (inverse e) g ↔ f = g :=
functor_map_inj_iff (symm e) f g
end Mathlib |
d2a1a9369eda873fb54046cad05730c137cfb377 | 367134ba5a65885e863bdc4507601606690974c1 | /src/category_theory/subobject.lean | f65e63291ab2f309b19833c7f8b5761bea3011b1 | [
"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 | 47,981 | lean | /-
Copyright (c) 2020 Bhavik Mehta. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Bhavik Mehta, Scott Morrison
-/
import category_theory.opposites
import category_theory.full_subcategory
import category_theory.skeletal
import category_theory.currying
import category_theory.limits.lattice
import category_theory.limits.over
import category_theory.limits.shapes.images
import category_theory.limits.shapes.kernels
import category_theory.monad.adjunction
/-!
# The lattice of subobjects
We define `subobject X` as the quotient (by isomorphisms) of
`mono_over X := {f : over X // mono f.hom}`.
Here `mono_over X` is a thin category (a pair of objects has at most one morphism between them),
so we can think of it as a preorder. However as it is not skeletal, it is not a partial order.
There is a coercion from `subobject X` back to the ambient category `C`
(using choice to pick a representative), and for `P : subobject X`,
`P.arrow : (P : C) ⟶ X` is the inclusion morphism.
The predicate `h : P.factors f`, for `P : subobject Y` and `f : X ⟶ Y`
asserts the existence of some `P.factor_thru f : X ⟶ (P : C)` making the obvious diagram commute.
We provide conditions for `P.factors f`, when `P` is a kernel/equalizer/image/inf/sup subobject.
TODO: Add conditions for when `P` is a pullback subobject.
We provide
* `def pullback [has_pullbacks C] (f : X ⟶ Y) : subobject Y ⥤ subobject X`
* `def map (f : X ⟶ Y) [mono f] : subobject X ⥤ subobject Y`
* `def «exists» [has_images C] (f : X ⟶ Y) : subobject X ⥤ subobject Y`
(each first at the level of `mono_over`), and prove their basic properties and relationships.
We also provide the `semilattice_inf_top (subobject X)` instance when `[has_pullback C]`,
and the `semilattice_sup (subobject X)` instance when `[has_images C] [has_binary_coproducts C]`.
## Notes
This development originally appeared in Bhavik Mehta's "Topos theory for Lean" repository,
and was ported to mathlib by Scott Morrison.
### Implementation note
Currently we describe `pullback`, `map`, etc., as functors.
It may be better to just say that they are monotone functions,
and even avoid using categorical language entirely when describing `subobject X`.
(It's worth keeping this in mind in future use; it should be a relatively easy change here
if it looks preferable.)
### Relation to pseudoelements
There is a separate development of pseudoelements in `category_theory.abelian.pseudoelements`,
as a quotient (but not by isomorphism) of `over X`.
When a morphism `f` has an image, the image represents the same pseudoelement.
In a category with images `pseudoelements X` could be constructed as a quotient of `mono_over X`.
In fact, in an abelian category (I'm not sure in what generality beyond that),
`pseudoelements X` agrees with `subobject X`, but we haven't developed this in mathlib yet.
-/
universes v₁ v₂ u₁ u₂
noncomputable theory
namespace category_theory
open category_theory category_theory.category category_theory.limits
variables {C : Type u₁} [category.{v₁} C] {X Y Z : C}
variables {D : Type u₂} [category.{v₂} D]
/--
The category of monomorphisms into `X` as a full subcategory of the over category.
This isn't skeletal, so it's not a partial order.
Later we define `subobject X` as the quotient of this by isomorphisms.
-/
@[derive [category]]
def mono_over (X : C) := {f : over X // mono f.hom}
namespace mono_over
/-- Construct a `mono_over X`. -/
@[simps]
def mk' {X A : C} (f : A ⟶ X) [hf : mono f] : mono_over X := { val := over.mk f, property := hf }
/-- The inclusion from monomorphisms over X to morphisms over X. -/
def forget (X : C) : mono_over X ⥤ over X := full_subcategory_inclusion _
instance : has_coe (mono_over X) C :=
{ coe := λ Y, Y.val.left, }
@[simp]
lemma forget_obj_left {f} : ((forget X).obj f).left = (f : C) := rfl
/-- Convenience notation for the underlying arrow of a monomorphism over X. -/
abbreviation arrow (f : mono_over X) : _ ⟶ X := ((forget X).obj f).hom
@[simp] lemma mk'_arrow {X A : C} (f : A ⟶ X) [hf : mono f] : (mk' f).arrow = f := rfl
@[simp]
lemma forget_obj_hom {f} : ((forget X).obj f).hom = f.arrow := rfl
instance : full (forget X) := full_subcategory.full _
instance : faithful (forget X) := full_subcategory.faithful _
instance mono (f : mono_over X) : mono f.arrow := f.property
/-- The category of monomorphisms over X is a thin category,
which makes defining its skeleton easy. -/
instance is_thin {X : C} (f g : mono_over X) : subsingleton (f ⟶ g) :=
⟨begin
intros h₁ h₂,
ext1,
erw [← cancel_mono g.arrow, over.w h₁, over.w h₂],
end⟩
@[reassoc] lemma w {f g : mono_over X} (k : f ⟶ g) : k.left ≫ g.arrow = f.arrow := over.w _
/-- Convenience constructor for a morphism in monomorphisms over `X`. -/
abbreviation hom_mk {f g : mono_over X} (h : f.val.left ⟶ g.val.left) (w : h ≫ g.arrow = f.arrow) :
f ⟶ g :=
over.hom_mk h w
/-- Convenience constructor for an isomorphism in monomorphisms over `X`. -/
@[simps]
def iso_mk {f g : mono_over X} (h : f.val.left ≅ g.val.left) (w : h.hom ≫ g.arrow = f.arrow) :
f ≅ g :=
{ hom := hom_mk h.hom w,
inv := hom_mk h.inv (by rw [h.inv_comp_eq, w]) }
/--
Lift a functor between over categories to a functor between `mono_over` categories,
given suitable evidence that morphisms are taken to monomorphisms.
-/
@[simps]
def lift {Y : D} (F : over Y ⥤ over X)
(h : ∀ (f : mono_over Y), mono (F.obj ((mono_over.forget Y).obj f)).hom) :
mono_over Y ⥤ mono_over X :=
{ obj := λ f, ⟨_, h f⟩,
map := λ _ _ k, (mono_over.forget X).preimage ((mono_over.forget Y ⋙ F).map k), }
/--
Isomorphic functors `over Y ⥤ over X` lift to isomorphic functors `mono_over Y ⥤ mono_over X`.
-/
def lift_iso {Y : D} {F₁ F₂ : over Y ⥤ over X} (h₁ h₂) (i : F₁ ≅ F₂) :
lift F₁ h₁ ≅ lift F₂ h₂ :=
fully_faithful_cancel_right (mono_over.forget X) (iso_whisker_left (mono_over.forget Y) i)
/-- `mono_over.lift` commutes with composition of functors. -/
def lift_comp {X Z : C} {Y : D} (F : over X ⥤ over Y) (G : over Y ⥤ over Z) (h₁ h₂) :
lift F h₁ ⋙ lift G h₂ ≅ lift (F ⋙ G) (λ f, h₂ ⟨_, h₁ f⟩) :=
fully_faithful_cancel_right (mono_over.forget _) (iso.refl _)
/-- `mono_over.lift` preserves the identity functor. -/
def lift_id :
lift (𝟭 (over X)) (λ f, f.2) ≅ 𝟭 _ :=
fully_faithful_cancel_right (mono_over.forget _) (iso.refl _)
@[simp]
lemma lift_comm (F : over Y ⥤ over X)
(h : ∀ (f : mono_over Y), mono (F.obj ((mono_over.forget Y).obj f)).hom) :
lift F h ⋙ mono_over.forget X = mono_over.forget Y ⋙ F :=
rfl
/--
Monomorphisms over an object `f : over A` in an over category
are equivalent to monomorphisms over the source of `f`.
-/
def slice {A : C} {f : over A} (h₁ h₂) : mono_over f ≌ mono_over f.left :=
{ functor := mono_over.lift f.iterated_slice_equiv.functor h₁,
inverse := mono_over.lift f.iterated_slice_equiv.inverse h₂,
unit_iso := mono_over.lift_id.symm ≪≫
mono_over.lift_iso _ _ f.iterated_slice_equiv.unit_iso ≪≫
(mono_over.lift_comp _ _ _ _).symm,
counit_iso := mono_over.lift_comp _ _ _ _ ≪≫
mono_over.lift_iso _ _ f.iterated_slice_equiv.counit_iso ≪≫
mono_over.lift_id }
/-- When `f : X ⟶ Y` and `P : mono_over Y`,
`P.factors f` expresses that there exists a factorisation of `f` through `P`.
Given `h : P.factors f`, you can recover the morphism as `P.factor_thru f h`.
-/
def factors {X Y : C} (P : mono_over Y) (f : X ⟶ Y) : Prop := ∃ g : X ⟶ P.val.left, g ≫ P.arrow = f
/-- `P.factor_thru f h` provides a factorisation of `f : X ⟶ Y` through some `P : mono_over Y`,
given the evidence `h : P.factors f` that such a factorisation exists. -/
def factor_thru {X Y : C} (P : mono_over Y) (f : X ⟶ Y) (h : factors P f) : X ⟶ P.val.left :=
classical.some h
section pullback
variables [has_pullbacks C]
/-- When `C` has pullbacks, a morphism `f : X ⟶ Y` induces a functor `mono_over Y ⥤ mono_over X`,
by pulling back a monomorphism along `f`. -/
def pullback (f : X ⟶ Y) : mono_over Y ⥤ mono_over X :=
mono_over.lift (over.pullback f)
begin
intro g,
apply @pullback.snd_of_mono _ _ _ _ _ _ _ _ _,
change mono g.arrow,
apply_instance,
end
/-- pullback commutes with composition (up to a natural isomorphism) -/
def pullback_comp (f : X ⟶ Y) (g : Y ⟶ Z) : pullback (f ≫ g) ≅ pullback g ⋙ pullback f :=
lift_iso _ _ (over.pullback_comp _ _) ≪≫ (lift_comp _ _ _ _).symm
/-- pullback preserves the identity (up to a natural isomorphism) -/
def pullback_id : pullback (𝟙 X) ≅ 𝟭 _ :=
lift_iso _ _ over.pullback_id ≪≫ lift_id
@[simp] lemma pullback_obj_left (f : X ⟶ Y) (g : mono_over Y) :
(((pullback f).obj g) : C) = limits.pullback g.arrow f :=
rfl
@[simp] lemma pullback_obj_arrow (f : X ⟶ Y) (g : mono_over Y) :
((pullback f).obj g).arrow = pullback.snd :=
rfl
end pullback
section map
attribute [instance] mono_comp
/--
We can map monomorphisms over `X` to monomorphisms over `Y`
by post-composition with a monomorphism `f : X ⟶ Y`.
-/
def map (f : X ⟶ Y) [mono f] : mono_over X ⥤ mono_over Y :=
lift (over.map f)
(λ g, by apply mono_comp g.arrow f)
/-- `mono_over.map` commutes with composition (up to a natural isomorphism). -/
def map_comp (f : X ⟶ Y) (g : Y ⟶ Z) [mono f] [mono g] :
map (f ≫ g) ≅ map f ⋙ map g :=
lift_iso _ _ (over.map_comp _ _) ≪≫ (lift_comp _ _ _ _).symm
/-- `mono_over.map` preserves the identity (up to a natural isomorphism). -/
def map_id : map (𝟙 X) ≅ 𝟭 _ :=
lift_iso _ _ over.map_id ≪≫ lift_id
@[simp] lemma map_obj_left (f : X ⟶ Y) [mono f] (g : mono_over X) :
(((map f).obj g) : C) = g.val.left :=
rfl
@[simp]
lemma map_obj_arrow (f : X ⟶ Y) [mono f] (g : mono_over X) :
((map f).obj g).arrow = g.arrow ≫ f :=
rfl
instance full_map (f : X ⟶ Y) [mono f] : full (map f) :=
{ preimage := λ g h e,
begin
refine hom_mk e.left _,
rw [← cancel_mono f, assoc],
apply w e,
end }
instance faithful_map (f : X ⟶ Y) [mono f] : faithful (map f) := {}.
/--
Isomorphic objects have equivalent `mono_over` categories.
-/
def map_iso {A B : C} (e : A ≅ B) : mono_over A ≌ mono_over B :=
{ functor := map e.hom,
inverse := map e.inv,
unit_iso := ((map_comp _ _).symm ≪≫ eq_to_iso (by simp) ≪≫ map_id).symm,
counit_iso := ((map_comp _ _).symm ≪≫ eq_to_iso (by simp) ≪≫ map_id) }
section
variable [has_pullbacks C]
/-- `map f` is left adjoint to `pullback f` when `f` is a monomorphism -/
def map_pullback_adj (f : X ⟶ Y) [mono f] : map f ⊣ pullback f :=
adjunction.restrict_fully_faithful
(forget X) (forget Y) (over.map_pullback_adj f) (iso.refl _) (iso.refl _)
/-- `mono_over.map f` followed by `mono_over.pullback f` is the identity. -/
def pullback_map_self (f : X ⟶ Y) [mono f] :
map f ⋙ pullback f ≅ 𝟭 _ :=
(as_iso (mono_over.map_pullback_adj f).unit).symm
end
end map
section image
variables (f : X ⟶ Y) [has_image f]
/--
The `mono_over Y` for the image inclusion for a morphism `f : X ⟶ Y`.
-/
def image_mono_over (f : X ⟶ Y) [has_image f] : mono_over Y := mono_over.mk' (image.ι f)
@[simp] lemma image_mono_over_arrow (f : X ⟶ Y) [has_image f] :
(image_mono_over f).arrow = image.ι f :=
rfl
end image
section image
variables [has_images C]
/--
Taking the image of a morphism gives a functor `over X ⥤ mono_over X`.
-/
@[simps]
def image : over X ⥤ mono_over X :=
{ obj := λ f, image_mono_over f.hom,
map := λ f g k,
begin
apply (forget X).preimage _,
apply over.hom_mk _ _,
refine image.lift {I := image _, m := image.ι g.hom, e := k.left ≫ factor_thru_image g.hom},
apply image.lift_fac,
end }
/--
`mono_over.image : over X ⥤ mono_over X` is left adjoint to
`mono_over.forget : mono_over X ⥤ over X`
-/
def image_forget_adj : image ⊣ forget X :=
adjunction.mk_of_hom_equiv
{ hom_equiv := λ f g,
{ to_fun := λ k,
begin
apply over.hom_mk (factor_thru_image f.hom ≫ k.left) _,
change (factor_thru_image f.hom ≫ k.left) ≫ _ = f.hom,
rw [assoc, over.w k],
apply image.fac
end,
inv_fun := λ k,
begin
refine over.hom_mk _ _,
refine image.lift {I := g.val.left, m := g.arrow, e := k.left, fac' := over.w k},
apply image.lift_fac,
end,
left_inv := λ k, subsingleton.elim _ _,
right_inv := λ k,
begin
ext1,
change factor_thru_image _ ≫ image.lift _ = _,
rw [← cancel_mono g.arrow, assoc, image.lift_fac, image.fac f.hom],
exact (over.w k).symm,
end } }
instance : is_right_adjoint (forget X) :=
{ left := image, adj := image_forget_adj }
instance reflective : reflective (forget X) := {}.
/--
Forgetting that a monomorphism over `X` is a monomorphism, then taking its image,
is the identity functor.
-/
def forget_image : forget X ⋙ image ≅ 𝟭 (mono_over X) :=
as_iso (adjunction.counit image_forget_adj)
end image
section «exists»
variables [has_images C]
/--
In the case where `f` is not a monomorphism but `C` has images,
we can still take the "forward map" under it, which agrees with `mono_over.map f`.
-/
def «exists» (f : X ⟶ Y) : mono_over X ⥤ mono_over Y :=
forget _ ⋙ over.map f ⋙ image
instance faithful_exists (f : X ⟶ Y) : faithful («exists» f) := {}.
/--
When `f : X ⟶ Y` is a monomorphism, `exists f` agrees with `map f`.
-/
def exists_iso_map (f : X ⟶ Y) [mono f] : «exists» f ≅ map f :=
nat_iso.of_components
begin
intro Z,
suffices : (forget _).obj ((«exists» f).obj Z) ≅ (forget _).obj ((map f).obj Z),
apply preimage_iso this,
apply over.iso_mk _ _,
apply image_mono_iso_source (Z.arrow ≫ f),
apply image_mono_iso_source_hom_self,
end
begin
intros Z₁ Z₂ g,
ext1,
change image.lift ⟨_, _, _, _⟩ ≫ (image_mono_iso_source (Z₂.arrow ≫ f)).hom =
(image_mono_iso_source (Z₁.arrow ≫ f)).hom ≫ g.left,
rw [← cancel_mono (Z₂.arrow ≫ f), assoc, assoc, w_assoc g, image_mono_iso_source_hom_self,
image_mono_iso_source_hom_self],
apply image.lift_fac,
end
/-- `exists` is adjoint to `pullback` when images exist -/
def exists_pullback_adj (f : X ⟶ Y) [has_pullbacks C] : «exists» f ⊣ pullback f :=
adjunction.restrict_fully_faithful (forget X) (𝟭 _)
((over.map_pullback_adj f).comp _ _ image_forget_adj)
(iso.refl _)
(iso.refl _)
end «exists»
section has_top
instance {X : C} : has_top (mono_over X) :=
{ top := mk' (𝟙 _) }
instance {X : C} : inhabited (mono_over X) := ⟨⊤⟩
/-- The morphism to the top object in `mono_over X`. -/
def le_top (f : mono_over X) : f ⟶ ⊤ :=
hom_mk f.arrow (comp_id _)
@[simp] lemma top_left (X : C) : ((⊤ : mono_over X) : C) = X := rfl
@[simp] lemma top_arrow (X : C) : (⊤ : mono_over X).arrow = 𝟙 X := rfl
/-- `map f` sends `⊤ : mono_over X` to `⟨X, f⟩ : mono_over Y`. -/
def map_top (f : X ⟶ Y) [mono f] : (map f).obj ⊤ ≅ mk' f :=
iso_of_both_ways (hom_mk (𝟙 _) rfl) (hom_mk (𝟙 _) (by simp [id_comp f]))
section
variable [has_pullbacks C]
/-- The pullback of the top object in `mono_over Y`
is (isomorphic to) the top object in `mono_over X`. -/
def pullback_top (f : X ⟶ Y) : (pullback f).obj ⊤ ≅ ⊤ :=
iso_of_both_ways (le_top _) (hom_mk (pullback.lift f (𝟙 _) (by tidy)) (pullback.lift_snd _ _ _))
/-- There is a morphism from `⊤ : mono_over A` to the pullback of a monomorphism along itself;
as the category is thin this is an isomorphism. -/
def top_le_pullback_self {A B : C} (f : A ⟶ B) [mono f] :
(⊤ : mono_over A) ⟶ (pullback f).obj (mk' f) :=
hom_mk _ (pullback.lift_snd _ _ rfl)
/-- The pullback of a monomorphism along itself is isomorphic to the top object. -/
def pullback_self {A B : C} (f : A ⟶ B) [mono f] :
(pullback f).obj (mk' f) ≅ ⊤ :=
iso_of_both_ways (le_top _) (top_le_pullback_self _)
end
end has_top
section has_bot
variables [has_zero_morphisms C] [has_zero_object C]
local attribute [instance] has_zero_object.has_zero
instance {X : C} : has_bot (mono_over X) :=
{ bot := mk' (0 : 0 ⟶ X) }
@[simp] lemma bot_left (X : C) : ((⊥ : mono_over X) : C) = 0 := rfl
@[simp] lemma bot_arrow {X : C} : (⊥ : mono_over X).arrow = 0 :=
by ext
/-- The (unique) morphism from `⊥ : mono_over X` to any other `f : mono_over X`. -/
def bot_le {X : C} (f : mono_over X) : ⊥ ⟶ f :=
hom_mk 0 (by simp)
/-- `map f` sends `⊥ : mono_over X` to `⊥ : mono_over Y`. -/
def map_bot (f : X ⟶ Y) [mono f] : (map f).obj ⊥ ≅ ⊥ :=
iso_of_both_ways (hom_mk 0 (by simp)) (hom_mk (𝟙 _) (by simp [id_comp f]))
end has_bot
section inf
variables [has_pullbacks C]
/--
When `[has_pullbacks C]`, `mono_over A` has "intersections", functorial in both arguments.
As `mono_over A` is only a preorder, this doesn't satisfy the axioms of `semilattice_inf`,
but we reuse all the names from `semilattice_inf` because they will be used to construct
`semilattice_inf (subobject A)` shortly.
-/
@[simps]
def inf {A : C} : mono_over A ⥤ mono_over A ⥤ mono_over A :=
{ obj := λ f, pullback f.arrow ⋙ map f.arrow,
map := λ f₁ f₂ k,
{ app := λ g,
begin
apply hom_mk _ _,
apply pullback.lift pullback.fst (pullback.snd ≫ k.left) _,
rw [pullback.condition, assoc, w k],
dsimp,
rw [pullback.lift_snd_assoc, assoc, w k],
end } }.
/-- A morphism from the "infimum" of two objects in `mono_over A` to the first object. -/
def inf_le_left {A : C} (f g : mono_over A) :
(inf.obj f).obj g ⟶ f :=
hom_mk _ rfl
/-- A morphism from the "infimum" of two objects in `mono_over A` to the second object. -/
def inf_le_right {A : C} (f g : mono_over A) :
(inf.obj f).obj g ⟶ g :=
hom_mk _ pullback.condition
/-- A morphism version of the `le_inf` axiom. -/
def le_inf {A : C} (f g h : mono_over A) :
(h ⟶ f) → (h ⟶ g) → (h ⟶ (inf.obj f).obj g) :=
begin
intros k₁ k₂,
refine hom_mk (pullback.lift k₂.left k₁.left _) _,
rw [w k₁, w k₂],
erw [pullback.lift_snd_assoc, w k₁],
end
end inf
section sup
variables [has_images C] [has_binary_coproducts C]
/-- When `[has_images C] [has_binary_coproducts C]`, `mono_over A` has a `sup` construction,
which is functorial in both arguments,
and which on `subobject A` will induce a `semilattice_sup`. -/
def sup {A : C} : mono_over A ⥤ mono_over A ⥤ mono_over A :=
curry_obj ((forget A).prod (forget A) ⋙ uncurry.obj over.coprod ⋙ image)
/-- A morphism version of `le_sup_left`. -/
def le_sup_left {A : C} (f g : mono_over A) :
f ⟶ (sup.obj f).obj g :=
begin
refine hom_mk (coprod.inl ≫ factor_thru_image _) _,
erw [category.assoc, image.fac, coprod.inl_desc],
refl,
end
/-- A morphism version of `le_sup_right`. -/
def le_sup_right {A : C} (f g : mono_over A) :
g ⟶ (sup.obj f).obj g :=
begin
refine hom_mk (coprod.inr ≫ factor_thru_image _) _,
erw [category.assoc, image.fac, coprod.inr_desc],
refl,
end
/-- A morphism version of `sup_le`. -/
def sup_le {A : C} (f g h : mono_over A) :
(f ⟶ h) → (g ⟶ h) → ((sup.obj f).obj g ⟶ h) :=
begin
intros k₁ k₂,
refine hom_mk _ _,
apply image.lift ⟨_, h.arrow, coprod.desc k₁.left k₂.left, _⟩,
{ dsimp,
ext1,
{ simp [w k₁] },
{ simp [w k₂] } },
{ apply image.lift_fac }
end
end sup
end mono_over
/-!
We now construct the subobject lattice for `X : C`,
as the quotient by isomorphisms of `mono_over X`.
Since `mono_over X` is a thin category, we use `thin_skeleton` to take the quotient.
Essentially all the structure defined above on `mono_over X` descends to `subobject X`,
with morphisms becoming inequalities, and isomorphisms becoming equations.
-/
/--
The category of subobjects of `X : C`, defined as isomorphism classes of monomorphisms into `X`.
-/
@[derive [partial_order, category]]
def subobject (X : C) := thin_skeleton (mono_over X)
namespace subobject
/-- Convenience constructor for a subobject. -/
abbreviation mk {X A : C} (f : A ⟶ X) [mono f] : subobject X :=
(to_thin_skeleton _).obj (mono_over.mk' f)
/--
Use choice to pick a representative `mono_over X` for each `subobject X`.
-/
noncomputable
def representative {X : C} : subobject X ⥤ mono_over X :=
thin_skeleton.from_thin_skeleton _
/--
Starting with `A : mono_over X`, we can take its equivalence class in `subobject X`
then pick an arbitrary representative using `representative.obj`.
This is isomorphic (in `mono_over X`) to the original `A`.
-/
noncomputable
def representative_iso {X : C} (A : mono_over X) :
representative.obj ((to_thin_skeleton _).obj A) ≅ A :=
(thin_skeleton.from_thin_skeleton _).as_equivalence.counit_iso.app A
/--
Use choice to pick a representative underlying object in `C` for any `subobject X`.
Prefer to use the coercion `P : C` rather than explicitly writing `underlying.obj P`.
-/
noncomputable
def underlying {X : C} : subobject X ⥤ C :=
representative ⋙ mono_over.forget _ ⋙ over.forget _
instance : has_coe (subobject X) C :=
{ coe := λ Y, underlying.obj Y, }
@[simp] lemma underlying_as_coe {X : C} (P : subobject X) : underlying.obj P = P := rfl
/--
If we construct a `subobject Y` from an explicit `f : X ⟶ Y` with `[mono f]`,
then pick an arbitrary choice of underlying object `(subobject.mk f : C)` back in `C`,
it is isomorphic (in `C`) to the original `X`.
-/
noncomputable
def underlying_iso {X Y : C} (f : X ⟶ Y) [mono f] : (subobject.mk f : C) ≅ X :=
(mono_over.forget _ ⋙ over.forget _).map_iso (representative_iso (mono_over.mk' f))
/--
The morphism in `C` from the arbitrarily chosen underlying object to the ambient object.
-/
noncomputable
def arrow {X : C} (Y : subobject X) : (Y : C) ⟶ X :=
(representative.obj Y).val.hom
instance arrow_mono {X : C} (Y : subobject X) : mono (Y.arrow) :=
(representative.obj Y).property
@[simp]
lemma representative_coe (Y : subobject X) :
(representative.obj Y : C) = (Y : C) :=
rfl
@[simp]
lemma representative_arrow (Y : subobject X) :
(representative.obj Y).arrow = Y.arrow :=
rfl
@[simp]
lemma underlying_arrow {X : C} {Y Z : subobject X} (f : Y ⟶ Z) :
underlying.map f ≫ arrow Z = arrow Y :=
over.w (representative.map f)
@[simp]
lemma underlying_iso_arrow {X Y : C} (f : X ⟶ Y) [mono f] :
(underlying_iso f).inv ≫ (subobject.mk f).arrow = f :=
over.w _
/-- Two morphisms into a subobject are equal exactly if
the morphisms into the ambient object are equal -/
@[ext]
lemma eq_of_comp_arrow_eq {X Y : C} {P : subobject Y}
{f g : X ⟶ P} (h : f ≫ P.arrow = g ≫ P.arrow) : f = g :=
(cancel_mono P.arrow).mp h
-- TODO surely there is a cleaner proof here
lemma le_of_comm {B : C} {X Y : subobject B} (f : (X : C) ⟶ (Y : C)) (w : f ≫ Y.arrow = X.arrow) :
X ≤ Y :=
begin
revert f w,
refine quotient.induction_on₂' X Y _,
intros P Q f w,
fsplit,
refine over.hom_mk ((representative_iso P).inv.left ≫ f ≫ (representative_iso Q).hom.left) _,
dsimp,
simp only [over.w, category.assoc],
erw [w, (representative_iso P).inv.w],
dsimp,
simp only [category.comp_id],
end
/-- When `f : X ⟶ Y` and `P : subobject Y`,
`P.factors f` expresses that there exists a factorisation of `f` through `P`.
Given `h : P.factors f`, you can recover the morphism as `P.factor_thru f h`.
-/
def factors {X Y : C} (P : subobject Y) (f : X ⟶ Y) : Prop :=
quotient.lift_on' P (λ P, P.factors f)
begin
rintros P Q ⟨h⟩,
apply propext,
split,
{ rintro ⟨i, w⟩,
exact ⟨i ≫ h.hom.left, by erw [category.assoc, over.w h.hom, w]⟩, },
{ rintro ⟨i, w⟩,
exact ⟨i ≫ h.inv.left, by erw [category.assoc, over.w h.inv, w]⟩, },
end
lemma factors_iff {X Y : C} (P : subobject Y) (f : X ⟶ Y) :
P.factors f ↔ (representative.obj P).factors f :=
begin
induction P,
{ rcases P with ⟨⟨P, ⟨⟩, g⟩, hg⟩,
resetI,
fsplit,
{ rintro ⟨i, w⟩,
refine ⟨i ≫ (underlying_iso g).inv, _⟩,
simp only [category_theory.category.assoc],
convert w,
convert underlying_iso_arrow _, },
{ rintro ⟨i, w⟩,
refine ⟨i ≫ (underlying_iso g).hom, _⟩,
simp only [category_theory.category.assoc],
convert w,
rw ←iso.eq_inv_comp,
symmetry,
convert underlying_iso_arrow _, }, },
{ refl, },
end
/-- `P.factor_thru f h` provides a factorisation of `f : X ⟶ Y` through some `P : subobject Y`,
given the evidence `h : P.factors f` that such a factorisation exists. -/
def factor_thru {X Y : C} (P : subobject Y) (f : X ⟶ Y) (h : factors P f) : X ⟶ P :=
classical.some ((factors_iff _ _).mp h)
@[simp, reassoc] lemma factor_thru_arrow {X Y : C} (P : subobject Y) (f : X ⟶ Y) (h : factors P f) :
P.factor_thru f h ≫ P.arrow = f :=
classical.some_spec ((factors_iff _ _).mp h)
@[simp] lemma factor_thru_eq_zero [has_zero_morphisms C]
{X Y : C} {P : subobject Y} {f : X ⟶ Y} {h : factors P f} :
P.factor_thru f h = 0 ↔ f = 0 :=
begin
fsplit,
{ intro w,
replace w := w =≫ P.arrow,
simpa using w, },
{ rintro rfl,
apply (cancel_mono P.arrow).mp,
simp, },
end
lemma factors_comp_arrow {X Y : C} {P : subobject Y} (f : X ⟶ P) : P.factors (f ≫ P.arrow) :=
(factors_iff _ _).mpr ⟨f, rfl⟩
lemma factors_of_factors_right {X Y Z : C} {P : subobject Z} (f : X ⟶ Y) {g : Y ⟶ Z}
(h : P.factors g) : P.factors (f ≫ g) :=
begin
revert P,
refine quotient.ind' _,
intro P,
rintro ⟨g, rfl⟩,
exact ⟨f ≫ g, by simp⟩,
end
lemma factors_of_le {Y Z : C} {P Q : subobject Y} (f : Z ⟶ Y) (h : P ≤ Q) :
P.factors f → Q.factors f :=
begin
revert P Q,
refine quotient.ind₂' _,
rintro P Q ⟨h⟩ ⟨g, rfl⟩,
refine ⟨g ≫ h.left, _⟩,
rw assoc,
congr' 1,
apply over.w h,
end
@[simp]
lemma factor_thru_right {X Y Z : C} {P : subobject Z} (f : X ⟶ Y) (g : Y ⟶ Z) (h : P.factors g) :
f ≫ P.factor_thru g h = P.factor_thru (f ≫ g) (factors_of_factors_right f h) :=
begin
apply (cancel_mono P.arrow).mp,
simp,
end
end subobject
namespace limits
section equalizer
variables (f g : X ⟶ Y) [has_equalizer f g]
/-- The equalizer of morphisms `f g : X ⟶ Y` as a `subobject X`. -/
def equalizer_subobject : subobject X :=
subobject.mk (equalizer.ι f g)
/-- The underlying object of `equalizer_subobject f g` is (up to isomorphism!)
the same as the chosen object `equalizer f g`. -/
def equalizer_subobject_iso : (equalizer_subobject f g : C) ≅ equalizer f g :=
subobject.underlying_iso (equalizer.ι f g)
lemma equalizer_subobject_arrow :
(equalizer_subobject f g).arrow = (equalizer_subobject_iso f g).hom ≫ equalizer.ι f g :=
(over.w (subobject.representative_iso (mono_over.mk' (equalizer.ι f g))).hom).symm
@[simp] lemma equalizer_subobject_arrow' :
(equalizer_subobject_iso f g).inv ≫ (equalizer_subobject f g).arrow = equalizer.ι f g :=
over.w (subobject.representative_iso (mono_over.mk' (equalizer.ι f g))).inv
@[reassoc]
lemma equalizer_subobject_arrow_comp :
(equalizer_subobject f g).arrow ≫ f = (equalizer_subobject f g).arrow ≫ g :=
by simp [equalizer_subobject_arrow, equalizer.condition]
lemma equalizer_subobject_factors {W : C} (h : W ⟶ X) (w : h ≫ f = h ≫ g) :
(equalizer_subobject f g).factors h :=
⟨equalizer.lift h w, by simp⟩
lemma equalizer_subobject_factors_iff {W : C} (h : W ⟶ X) :
(equalizer_subobject f g).factors h ↔ h ≫ f = h ≫ g :=
⟨λ w, by rw [←subobject.factor_thru_arrow _ _ w, category.assoc,
equalizer_subobject_arrow_comp, category.assoc],
equalizer_subobject_factors f g h⟩
end equalizer
section kernel
variables [has_zero_morphisms C] (f : X ⟶ Y) [has_kernel f]
/-- The kernel of a morphism `f : X ⟶ Y` as a `subobject X`. -/
def kernel_subobject : subobject X :=
subobject.mk (kernel.ι f)
/-- The underlying object of `kernel_subobject f` is (up to isomorphism!)
the same as the chosen object `kernel f`. -/
def kernel_subobject_iso :
(kernel_subobject f : C) ≅ kernel f :=
subobject.underlying_iso (kernel.ι f)
lemma kernel_subobject_arrow :
(kernel_subobject f).arrow = (kernel_subobject_iso f).hom ≫ kernel.ι f :=
(over.w (subobject.representative_iso (mono_over.mk' (kernel.ι f))).hom).symm
@[simp] lemma kernel_subobject_arrow' :
(kernel_subobject_iso f).inv ≫ (kernel_subobject f).arrow = kernel.ι f :=
over.w (subobject.representative_iso (mono_over.mk' (kernel.ι f))).inv
@[simp]
lemma kernel_subobject_arrow_comp :
(kernel_subobject f).arrow ≫ f = 0 :=
by simp [kernel_subobject_arrow, kernel.condition]
lemma kernel_subobject_factors {W : C} (h : W ⟶ X) (w : h ≫ f = 0) :
(kernel_subobject f).factors h :=
⟨kernel.lift _ h w, by simp⟩
lemma kernel_subobject_factors_iff {W : C} (h : W ⟶ X) :
(kernel_subobject f).factors h ↔ h ≫ f = 0 :=
⟨λ w, by rw [←subobject.factor_thru_arrow _ _ w, category.assoc,
kernel_subobject_arrow_comp, comp_zero],
kernel_subobject_factors f h⟩
end kernel
section image
variables (f : X ⟶ Y) [has_image f]
/-- The image of a morphism `f g : X ⟶ Y` as a `subobject Y`. -/
def image_subobject : subobject Y :=
(to_thin_skeleton _).obj (mono_over.image_mono_over f)
/-- The underlying object of `image_subobject f` is (up to isomorphism!)
the same as the chosen object `image f`. -/
def image_subobject_iso :
(image_subobject f : C) ≅ image f :=
subobject.underlying_iso (image.ι f)
lemma image_subobject_arrow :
(image_subobject f).arrow = (image_subobject_iso f).hom ≫ image.ι f :=
(over.w (subobject.representative_iso (mono_over.mk' (image.ι f))).hom).symm
@[simp] lemma image_subobject_arrow' :
(image_subobject_iso f).inv ≫ (image_subobject f).arrow = image.ι f :=
over.w (subobject.representative_iso (mono_over.mk' (image.ι f))).inv
/-- A factorisation of `f : X ⟶ Y` through `image_subobject f`. -/
def factor_thru_image_subobject : X ⟶ image_subobject f :=
factor_thru_image f ≫ (image_subobject_iso f).inv
lemma image_subobject_arrow_comp :
factor_thru_image_subobject f ≫ (image_subobject f).arrow = f :=
by simp [factor_thru_image_subobject, image_subobject_arrow]
-- TODO an iff characterisation of `(image_subobject f).factors h`
lemma image_subobject_factors {W : C} (h : W ⟶ Y) (k : W ⟶ X) (w : k ≫ f = h) :
(image_subobject f).factors h :=
⟨k ≫ factor_thru_image f, by simp [w]⟩
lemma image_subobject_le {A B : C} {X : subobject B} (f : A ⟶ B) [has_image f]
(h : A ⟶ X) (w : h ≫ X.arrow = f) :
image_subobject f ≤ X :=
subobject.le_of_comm
((image_subobject_iso f).hom ≫ image.lift { I := (X : C), e := h, m := X.arrow, })
(by simp [←image_subobject_arrow f])
end image
end limits
open category_theory.limits
namespace subobject
/-- Any functor `mono_over X ⥤ mono_over Y` descends to a functor
`subobject X ⥤ subobject Y`, because `mono_over Y` is thin. -/
def lower {Y : D} (F : mono_over X ⥤ mono_over Y) : subobject X ⥤ subobject Y :=
thin_skeleton.map F
/-- Isomorphic functors become equal when lowered to `subobject`.
(It's not as evil as usual to talk about equality between functors
because the categories are thin and skeletal.) -/
lemma lower_iso (F₁ F₂ : mono_over X ⥤ mono_over Y) (h : F₁ ≅ F₂) :
lower F₁ = lower F₂ :=
thin_skeleton.map_iso_eq h
/-- A ternary version of `subobject.lower`. -/
def lower₂ (F : mono_over X ⥤ mono_over Y ⥤ mono_over Z) :
subobject X ⥤ subobject Y ⥤ subobject Z :=
thin_skeleton.map₂ F
@[simp]
lemma lower_comm (F : mono_over Y ⥤ mono_over X) :
to_thin_skeleton _ ⋙ lower F = F ⋙ to_thin_skeleton _ :=
rfl
/-- An adjunction between `mono_over A` and `mono_over B` gives an adjunction
between `subobject A` and `subobject B`. -/
def lower_adjunction {A : C} {B : D}
{L : mono_over A ⥤ mono_over B} {R : mono_over B ⥤ mono_over A} (h : L ⊣ R) :
lower L ⊣ lower R :=
thin_skeleton.lower_adjunction _ _ h
/-- An equivalence between `mono_over A` and `mono_over B` gives an equivalence
between `subobject A` and `subobject B`. -/
@[simps]
def lower_equivalence {A : C} {B : D} (e : mono_over A ≌ mono_over B) : subobject A ≌ subobject B :=
{ functor := lower e.functor,
inverse := lower e.inverse,
unit_iso :=
begin
apply eq_to_iso,
convert thin_skeleton.map_iso_eq e.unit_iso,
{ exact thin_skeleton.map_id_eq.symm },
{ exact (thin_skeleton.map_comp_eq _ _).symm },
end,
counit_iso :=
begin
apply eq_to_iso,
convert thin_skeleton.map_iso_eq e.counit_iso,
{ exact (thin_skeleton.map_comp_eq _ _).symm },
{ exact thin_skeleton.map_id_eq.symm },
end }
section pullback
variables [has_pullbacks C]
/-- When `C` has pullbacks, a morphism `f : X ⟶ Y` induces a functor `subobject Y ⥤ subobject X`,
by pulling back a monomorphism along `f`. -/
def pullback (f : X ⟶ Y) : subobject Y ⥤ subobject X :=
lower (mono_over.pullback f)
lemma pullback_id (x : subobject X) : (pullback (𝟙 X)).obj x = x :=
begin
apply quotient.induction_on' x,
intro f,
apply quotient.sound,
exact ⟨mono_over.pullback_id.app f⟩,
end
lemma pullback_comp (f : X ⟶ Y) (g : Y ⟶ Z) (x : subobject Z) :
(pullback (f ≫ g)).obj x = (pullback f).obj ((pullback g).obj x) :=
begin
apply quotient.induction_on' x,
intro t,
apply quotient.sound,
refine ⟨(mono_over.pullback_comp _ _).app t⟩,
end
instance (f : X ⟶ Y) : faithful (pullback f) := {}
end pullback
section map
/--
We can map subobjects of `X` to subobjects of `Y`
by post-composition with a monomorphism `f : X ⟶ Y`.
-/
def map (f : X ⟶ Y) [mono f] : subobject X ⥤ subobject Y :=
lower (mono_over.map f)
lemma map_id (x : subobject X) : (map (𝟙 X)).obj x = x :=
begin
apply quotient.induction_on' x,
intro f,
apply quotient.sound,
exact ⟨mono_over.map_id.app f⟩,
end
lemma map_comp (f : X ⟶ Y) (g : Y ⟶ Z) [mono f] [mono g] (x : subobject X) :
(map (f ≫ g)).obj x = (map g).obj ((map f).obj x) :=
begin
apply quotient.induction_on' x,
intro t,
apply quotient.sound,
refine ⟨(mono_over.map_comp _ _).app t⟩,
end
/-- Isomorphic objects have equivalent subobject lattices. -/
def map_iso {A B : C} (e : A ≅ B) : subobject A ≌ subobject B :=
lower_equivalence (mono_over.map_iso e)
/-- In fact, there's a type level bijection between the subobjects of isomorphic objects,
which preserves the order. -/
-- @[simps] here generates a lemma `map_iso_to_order_iso_to_equiv_symm_apply`
-- whose left hand side is not in simp normal form.
def map_iso_to_order_iso (e : X ≅ Y) : subobject X ≃o subobject Y :=
{ to_fun := (map e.hom).obj,
inv_fun := (map e.inv).obj,
left_inv := λ g, by simp_rw [← map_comp, e.hom_inv_id, map_id],
right_inv := λ g, by simp_rw [← map_comp, e.inv_hom_id, map_id],
map_rel_iff' := λ A B, begin
dsimp, fsplit,
{ intro h,
apply_fun (map e.inv).obj at h,
simp_rw [← map_comp, e.hom_inv_id, map_id] at h,
exact h, },
{ intro h,
apply_fun (map e.hom).obj at h,
exact h, },
end }
@[simp] lemma map_iso_to_order_iso_apply (e : X ≅ Y) (P : subobject X) :
map_iso_to_order_iso e P = (map e.hom).obj P :=
rfl
@[simp] lemma map_iso_to_order_iso_symm_apply (e : X ≅ Y) (Q : subobject Y) :
(map_iso_to_order_iso e).symm Q = (map e.inv).obj Q :=
rfl
/-- `map f : subobject X ⥤ subobject Y` is
the left adjoint of `pullback f : subobject Y ⥤ subobject X`. -/
def map_pullback_adj [has_pullbacks C] (f : X ⟶ Y) [mono f] : map f ⊣ pullback f :=
lower_adjunction (mono_over.map_pullback_adj f)
@[simp]
lemma pullback_map_self [has_pullbacks C] (f : X ⟶ Y) [mono f] (g : subobject X) :
(pullback f).obj ((map f).obj g) = g :=
begin
revert g,
apply quotient.ind,
intro g',
apply quotient.sound,
exact ⟨(mono_over.pullback_map_self f).app _⟩,
end
lemma map_pullback [has_pullbacks C]
{X Y Z W : C} {f : X ⟶ Y} {g : X ⟶ Z} {h : Y ⟶ W} {k : Z ⟶ W} [mono h] [mono g]
(comm : f ≫ h = g ≫ k) (t : is_limit (pullback_cone.mk f g comm)) (p : subobject Y) :
(map g).obj ((pullback f).obj p) = (pullback k).obj ((map h).obj p) :=
begin
revert p,
apply quotient.ind',
intro a,
apply quotient.sound,
apply thin_skeleton.equiv_of_both_ways,
{ refine mono_over.hom_mk (pullback.lift pullback.fst _ _) (pullback.lift_snd _ _ _),
change _ ≫ a.arrow ≫ h = (pullback.snd ≫ g) ≫ _,
rw [assoc, ← comm, pullback.condition_assoc] },
{ refine mono_over.hom_mk (pullback.lift pullback.fst
(pullback_cone.is_limit.lift' t (pullback.fst ≫ a.arrow) pullback.snd _).1
(pullback_cone.is_limit.lift' _ _ _ _).2.1.symm) _,
{ rw [← pullback.condition, assoc], refl },
{ dsimp, rw [pullback.lift_snd_assoc],
apply (pullback_cone.is_limit.lift' _ _ _ _).2.2 } }
end
end map
section «exists»
variables [has_images C]
/--
The functor from subobjects of `X` to subobjects of `Y` given by
sending the subobject `S` to its "image" under `f`, usually denoted $\exists_f$.
For instance, when `C` is the category of types,
viewing `subobject X` as `set X` this is just `set.image f`.
This functor is left adjoint to the `pullback f` functor (shown in `exists_pullback_adj`)
provided both are defined, and generalises the `map f` functor, again provided it is defined.
-/
def «exists» (f : X ⟶ Y) : subobject X ⥤ subobject Y :=
lower (mono_over.exists f)
/--
When `f : X ⟶ Y` is a monomorphism, `exists f` agrees with `map f`.
-/
lemma exists_iso_map (f : X ⟶ Y) [mono f] : «exists» f = map f :=
lower_iso _ _ (mono_over.exists_iso_map f)
/--
`exists f : subobject X ⥤ subobject Y` is
left adjoint to `pullback f : subobject Y ⥤ subobject X`.
-/
def exists_pullback_adj (f : X ⟶ Y) [has_pullbacks C] : «exists» f ⊣ pullback f :=
lower_adjunction (mono_over.exists_pullback_adj f)
end «exists»
section order_top
instance order_top {X : C} : order_top (subobject X) :=
{ top := quotient.mk' ⊤,
le_top :=
begin
refine quotient.ind' (λ f, _),
exact ⟨mono_over.le_top f⟩,
end,
..subobject.partial_order X}
instance {X : C} : inhabited (subobject X) := ⟨⊤⟩
lemma top_eq_id {B : C} : (⊤ : subobject B) = subobject.mk (𝟙 B) := rfl
/-- The object underlying `⊤ : subobject B` is (up to isomorphism) `B`. -/
def top_coe_iso_self {B : C} : ((⊤ : subobject B) : C) ≅ B := underlying_iso _
@[simp]
lemma underlying_iso_id_eq_top_coe_iso_self {B : C} : underlying_iso (𝟙 B) = top_coe_iso_self :=
rfl
@[simp, reassoc]
lemma underlying_iso_inv_top_arrow {B : C} :
top_coe_iso_self.inv ≫ (⊤ : subobject B).arrow = 𝟙 B :=
underlying_iso_arrow _
lemma map_top (f : X ⟶ Y) [mono f] : (map f).obj ⊤ = quotient.mk' (mono_over.mk' f) :=
quotient.sound' ⟨mono_over.map_top f⟩
lemma top_factors {A B : C} (f : A ⟶ B) : (⊤ : subobject B).factors f :=
⟨f, comp_id _⟩
section
variables [has_pullbacks C]
lemma pullback_top (f : X ⟶ Y) : (pullback f).obj ⊤ = ⊤ :=
quotient.sound' ⟨mono_over.pullback_top f⟩
lemma pullback_self {A B : C} (f : A ⟶ B) [mono f] :
(pullback f).obj (mk f) = ⊤ :=
quotient.sound' ⟨mono_over.pullback_self f⟩
end
end order_top
section order_bot
variables [has_zero_morphisms C] [has_zero_object C]
local attribute [instance] has_zero_object.has_zero
instance order_bot {X : C} : order_bot (subobject X) :=
{ bot := quotient.mk' ⊥,
bot_le :=
begin
refine quotient.ind' (λ f, _),
exact ⟨mono_over.bot_le f⟩,
end,
..subobject.partial_order X}
lemma bot_eq_zero {B : C} : (⊥ : subobject B) = subobject.mk (0 : 0 ⟶ B) := rfl
/-- The object underlying `⊥ : subobject B` is (up to isomorphism) the zero object. -/
def bot_coe_iso_zero {B : C} : ((⊥ : subobject B) : C) ≅ 0 := underlying_iso _
@[simp] lemma bot_arrow {B : C} : (⊥ : subobject B).arrow = 0 :=
zero_of_source_iso_zero _ bot_coe_iso_zero
lemma map_bot (f : X ⟶ Y) [mono f] : (map f).obj ⊥ = ⊥ :=
quotient.sound' ⟨mono_over.map_bot f⟩
lemma bot_factors_iff_zero {A B : C} (f : A ⟶ B) : (⊥ : subobject B).factors f ↔ f = 0 :=
⟨by { rintro ⟨h, w⟩, simp at w, exact w.symm, }, by { rintro rfl, exact ⟨0, by simp⟩, }⟩
end order_bot
section functor
variable (C)
/-- Sending `X : C` to `subobject X` is a contravariant functor `Cᵒᵖ ⥤ Type`. -/
@[simps]
def functor [has_pullbacks C] : Cᵒᵖ ⥤ Type (max u₁ v₁) :=
{ obj := λ X, subobject X.unop,
map := λ X Y f, (pullback f.unop).obj,
map_id' := λ X, funext pullback_id,
map_comp' := λ X Y Z f g, funext (pullback_comp _ _) }
end functor
section semilattice_inf_top
variables [has_pullbacks C]
/-- The functorial infimum on `mono_over A` descends to an infimum on `subobject A`. -/
def inf {A : C} : subobject A ⥤ subobject A ⥤ subobject A :=
thin_skeleton.map₂ mono_over.inf
lemma inf_le_left {A : C} (f g : subobject A) :
(inf.obj f).obj g ≤ f :=
quotient.induction_on₂' f g (λ a b, ⟨mono_over.inf_le_left _ _⟩)
lemma inf_le_right {A : C} (f g : subobject A) :
(inf.obj f).obj g ≤ g :=
quotient.induction_on₂' f g (λ a b, ⟨mono_over.inf_le_right _ _⟩)
lemma le_inf {A : C} (h f g : subobject A) :
h ≤ f → h ≤ g → h ≤ (inf.obj f).obj g :=
quotient.induction_on₃' h f g
begin
rintros f g h ⟨k⟩ ⟨l⟩,
exact ⟨mono_over.le_inf _ _ _ k l⟩,
end
instance {B : C} : semilattice_inf_top (subobject B) :=
{ inf := λ m n, (inf.obj m).obj n,
inf_le_left := inf_le_left,
inf_le_right := inf_le_right,
le_inf := le_inf,
..subobject.order_top }
lemma factors_left_of_inf_factors {A B : C} {X Y : subobject B} {f : A ⟶ B}
(h : (X ⊓ Y).factors f) : X.factors f :=
factors_of_le _ (inf_le_left _ _) h
lemma factors_right_of_inf_factors {A B : C} {X Y : subobject B} {f : A ⟶ B}
(h : (X ⊓ Y).factors f) : Y.factors f :=
factors_of_le _ (inf_le_right _ _) h
@[simp]
lemma inf_factors {A B : C} {X Y : subobject B} (f : A ⟶ B) :
(X ⊓ Y).factors f ↔ X.factors f ∧ Y.factors f :=
⟨λ h, ⟨factors_left_of_inf_factors h, factors_right_of_inf_factors h⟩,
begin
revert X Y,
refine quotient.ind₂' _,
rintro X Y ⟨⟨g₁, rfl⟩, ⟨g₂, hg₂⟩⟩,
exact ⟨_, pullback.lift_snd_assoc _ _ hg₂ _⟩,
end⟩
lemma inf_arrow_factors_left {B : C} (X Y : subobject B) : X.factors (X ⊓ Y).arrow :=
(factors_iff _ _).mpr ⟨underlying.map (hom_of_le (inf_le_left X Y)), by simp⟩
lemma inf_arrow_factors_right {B : C} (X Y : subobject B) : Y.factors (X ⊓ Y).arrow :=
(factors_iff _ _).mpr ⟨underlying.map (hom_of_le (inf_le_right X Y)), by simp⟩
@[simp]
lemma finset_inf_factors {I : Type*} {A B : C} {s : finset I} {P : I → subobject B}
(f : A ⟶ B) :
(s.inf P).factors f ↔ ∀ i ∈ s, (P i).factors f :=
begin
classical,
apply finset.induction_on s,
{ simp [top_factors] },
{ intros i s nm ih, simp [ih] },
end
-- `i` is explicit here because often we'd like to defer a proof of `m`
lemma finset_inf_arrow_factors {I : Type*} {B : C} (s : finset I) (P : I → subobject B)
(i : I) (m : i ∈ s) : (P i).factors (s.inf P).arrow :=
begin
revert i m,
classical,
apply finset.induction_on s,
{ rintro _ ⟨⟩, },
{ intros i s nm ih j m,
rw [finset.inf_insert],
simp only [finset.mem_insert] at m, rcases m with (rfl|m),
{ rw ←factor_thru_arrow _ _ (inf_arrow_factors_left _ _),
exact factors_comp_arrow _, },
{ rw ←factor_thru_arrow _ _ (inf_arrow_factors_right _ _),
apply factors_of_factors_right,
exact ih _ m, } },
end
lemma inf_eq_map_pullback' {A : C} (f₁ : mono_over A) (f₂ : subobject A) :
(subobject.inf.obj (quotient.mk' f₁)).obj f₂ =
(subobject.map f₁.arrow).obj ((subobject.pullback f₁.arrow).obj f₂) :=
begin
apply quotient.induction_on' f₂,
intro f₂,
refl,
end
lemma inf_eq_map_pullback {A : C} (f₁ : mono_over A) (f₂ : subobject A) :
(quotient.mk' f₁ ⊓ f₂ : subobject A) = (map f₁.arrow).obj ((pullback f₁.arrow).obj f₂) :=
inf_eq_map_pullback' f₁ f₂
lemma prod_eq_inf {A : C} {f₁ f₂ : subobject A} [has_binary_product f₁ f₂] :
(f₁ ⨯ f₂) = f₁ ⊓ f₂ :=
le_antisymm
(_root_.le_inf
(le_of_hom limits.prod.fst)
(le_of_hom limits.prod.snd))
(le_of_hom
(prod.lift
(hom_of_le _root_.inf_le_left)
(hom_of_le _root_.inf_le_right)))
lemma inf_def {B : C} (m m' : subobject B) :
m ⊓ m' = (inf.obj m).obj m' := rfl
/-- `⊓` commutes with pullback. -/
lemma inf_pullback {X Y : C} (g : X ⟶ Y) (f₁ f₂) :
(pullback g).obj (f₁ ⊓ f₂) = (pullback g).obj f₁ ⊓ (pullback g).obj f₂ :=
begin
revert f₁,
apply quotient.ind',
intro f₁,
erw [inf_def, inf_def, inf_eq_map_pullback', inf_eq_map_pullback', ← pullback_comp,
← map_pullback pullback.condition (pullback_is_pullback f₁.arrow g),
← pullback_comp, pullback.condition],
refl,
end
/-- `⊓` commutes with map. -/
lemma inf_map {X Y : C} (g : Y ⟶ X) [mono g] (f₁ f₂) :
(map g).obj (f₁ ⊓ f₂) = (map g).obj f₁ ⊓ (map g).obj f₂ :=
begin
revert f₁,
apply quotient.ind',
intro f₁,
erw [inf_def, inf_def, inf_eq_map_pullback',
inf_eq_map_pullback', ← map_comp],
dsimp,
rw [pullback_comp, pullback_map_self],
end
end semilattice_inf_top
section semilattice_sup
variables [has_images C] [has_binary_coproducts C]
/-- The functorial supremum on `mono_over A` descends to an supremum on `subobject A`. -/
def sup {A : C} : subobject A ⥤ subobject A ⥤ subobject A :=
thin_skeleton.map₂ mono_over.sup
instance {B : C} : semilattice_sup (subobject B) :=
{ sup := λ m n, (sup.obj m).obj n,
le_sup_left := λ m n, quotient.induction_on₂' m n (λ a b, ⟨mono_over.le_sup_left _ _⟩),
le_sup_right := λ m n, quotient.induction_on₂' m n (λ a b, ⟨mono_over.le_sup_right _ _⟩),
sup_le := λ m n k, quotient.induction_on₃' m n k (λ a b c ⟨i⟩ ⟨j⟩, ⟨mono_over.sup_le _ _ _ i j⟩),
..subobject.partial_order B }
lemma sup_factors_of_factors_left {A B : C} {X Y : subobject B} {f : A ⟶ B} (P : X.factors f) :
(X ⊔ Y).factors f :=
factors_of_le f le_sup_left P
lemma sup_factors_of_factors_right {A B : C} {X Y : subobject B} {f : A ⟶ B} (P : Y.factors f) :
(X ⊔ Y).factors f :=
factors_of_le f le_sup_right P
/-!
Unfortunately, there are two different ways we may obtain a `semilattice_sup_bot (subobject B)`,
either as here, by assuming `[has_zero_morphisms C] [has_zero_object C]`,
or if `C` is cartesian closed.
These will be definitionally different, and at the very least we will need two different versions
of `finset_sup_factors`. So far I don't see how to handle this through generalization.
-/
section
variables [has_zero_morphisms C] [has_zero_object C]
instance {B : C} : semilattice_sup_bot (subobject B) :=
{ ..subobject.order_bot,
..subobject.semilattice_sup }
lemma finset_sup_factors {I : Type*} {A B : C} {s : finset I} {P : I → subobject B}
{f : A ⟶ B} (h : ∃ i ∈ s, (P i).factors f) :
(s.sup P).factors f :=
begin
classical,
revert h,
apply finset.induction_on s,
{ rintro ⟨_, ⟨⟨⟩, _⟩⟩, },
{ rintros i s nm ih ⟨j, ⟨m, h⟩⟩,
simp only [finset.sup_insert],
simp at m, rcases m with (rfl|m),
{ exact sup_factors_of_factors_left h, },
{ exact sup_factors_of_factors_right (ih ⟨j, ⟨m, h⟩⟩), }, },
end
end
end semilattice_sup
section lattice
variables [has_pullbacks C] [has_images C] [has_binary_coproducts C]
instance {B : C} : lattice (subobject B) :=
{ ..subobject.semilattice_inf_top,
..subobject.semilattice_sup }
variables [has_zero_morphisms C] [has_zero_object C]
instance {B : C} : bounded_lattice (subobject B) :=
{ ..subobject.semilattice_inf_top,
..subobject.semilattice_sup_bot }
end lattice
end subobject
end category_theory
|
7858b0a7ce0a94d44e8fe833766ae061fca01c93 | 4727251e0cd73359b15b664c3170e5d754078599 | /src/analysis/normed_space/multilinear.lean | 366cdbac80655b970a502ca2266e6e011560ec75 | [
"Apache-2.0"
] | permissive | Vierkantor/mathlib | 0ea59ac32a3a43c93c44d70f441c4ee810ccceca | 83bc3b9ce9b13910b57bda6b56222495ebd31c2f | refs/heads/master | 1,658,323,012,449 | 1,652,256,003,000 | 1,652,256,003,000 | 209,296,341 | 0 | 1 | Apache-2.0 | 1,568,807,655,000 | 1,568,807,655,000 | null | UTF-8 | Lean | false | false | 72,160 | lean | /-
Copyright (c) 2020 Sébastien Gouëzel. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Sébastien Gouëzel
-/
import analysis.normed_space.operator_norm
import topology.algebra.module.multilinear
/-!
# Operator norm on the space of continuous multilinear maps
When `f` is a continuous multilinear map in finitely many variables, we define its norm `∥f∥` as the
smallest number such that `∥f m∥ ≤ ∥f∥ * ∏ i, ∥m i∥` for all `m`.
We show that it is indeed a norm, and prove its basic properties.
## Main results
Let `f` be a multilinear map in finitely many variables.
* `exists_bound_of_continuous` asserts that, if `f` is continuous, then there exists `C > 0`
with `∥f m∥ ≤ C * ∏ i, ∥m i∥` for all `m`.
* `continuous_of_bound`, conversely, asserts that this bound implies continuity.
* `mk_continuous` constructs the associated continuous multilinear map.
Let `f` be a continuous multilinear map in finitely many variables.
* `∥f∥` is its norm, i.e., the smallest number such that `∥f m∥ ≤ ∥f∥ * ∏ i, ∥m i∥` for
all `m`.
* `le_op_norm f m` asserts the fundamental inequality `∥f m∥ ≤ ∥f∥ * ∏ i, ∥m i∥`.
* `norm_image_sub_le f m₁ m₂` gives a control of the difference `f m₁ - f m₂` in terms of
`∥f∥` and `∥m₁ - m₂∥`.
We also register isomorphisms corresponding to currying or uncurrying variables, transforming a
continuous multilinear function `f` in `n+1` variables into a continuous linear function taking
values in continuous multilinear functions in `n` variables, and also into a continuous multilinear
function in `n` variables taking values in continuous linear functions. These operations are called
`f.curry_left` and `f.curry_right` respectively (with inverses `f.uncurry_left` and
`f.uncurry_right`). They induce continuous linear equivalences between spaces of
continuous multilinear functions in `n+1` variables and spaces of continuous linear functions into
continuous multilinear functions in `n` variables (resp. continuous multilinear functions in `n`
variables taking values in continuous linear functions), called respectively
`continuous_multilinear_curry_left_equiv` and `continuous_multilinear_curry_right_equiv`.
## Implementation notes
We mostly follow the API (and the proofs) of `operator_norm.lean`, with the additional complexity
that we should deal with multilinear maps in several variables. The currying/uncurrying
constructions are based on those in `multilinear.lean`.
From the mathematical point of view, all the results follow from the results on operator norm in
one variable, by applying them to one variable after the other through currying. However, this
is only well defined when there is an order on the variables (for instance on `fin n`) although
the final result is independent of the order. While everything could be done following this
approach, it turns out that direct proofs are easier and more efficient.
-/
noncomputable theory
open_locale classical big_operators nnreal
open finset metric
local attribute [instance, priority 1001]
add_comm_group.to_add_comm_monoid normed_group.to_add_comm_group normed_space.to_module'
-- hack to speed up simp when dealing with complicated types
local attribute [-instance] unique.subsingleton pi.subsingleton
/-!
### Type variables
We use the following type variables in this file:
* `𝕜` : a `nondiscrete_normed_field`;
* `ι`, `ι'` : finite index types with decidable equality;
* `E`, `E₁` : families of normed vector spaces over `𝕜` indexed by `i : ι`;
* `E'` : a family of normed vector spaces over `𝕜` indexed by `i' : ι'`;
* `Ei` : a family of normed vector spaces over `𝕜` indexed by `i : fin (nat.succ n)`;
* `G`, `G'` : normed vector spaces over `𝕜`.
-/
universes u v v' wE wE₁ wE' wEi wG wG'
variables {𝕜 : Type u} {ι : Type v} {ι' : Type v'} {n : ℕ}
{E : ι → Type wE} {E₁ : ι → Type wE₁} {E' : ι' → Type wE'} {Ei : fin n.succ → Type wEi}
{G : Type wG} {G' : Type wG'}
[decidable_eq ι] [fintype ι] [decidable_eq ι'] [fintype ι'] [nondiscrete_normed_field 𝕜]
[Π i, normed_group (E i)] [Π i, normed_space 𝕜 (E i)]
[Π i, normed_group (E₁ i)] [Π i, normed_space 𝕜 (E₁ i)]
[Π i, normed_group (E' i)] [Π i, normed_space 𝕜 (E' i)]
[Π i, normed_group (Ei i)] [Π i, normed_space 𝕜 (Ei i)]
[normed_group G] [normed_space 𝕜 G] [normed_group G'] [normed_space 𝕜 G']
/-!
### Continuity properties of multilinear maps
We relate continuity of multilinear maps to the inequality `∥f m∥ ≤ C * ∏ i, ∥m i∥`, in
both directions. Along the way, we prove useful bounds on the difference `∥f m₁ - f m₂∥`.
-/
namespace multilinear_map
variable (f : multilinear_map 𝕜 E G)
/-- If a multilinear map in finitely many variables on normed spaces satisfies the inequality
`∥f m∥ ≤ C * ∏ i, ∥m i∥` on a shell `ε i / ∥c i∥ < ∥m i∥ < ε i` for some positive numbers `ε i`
and elements `c i : 𝕜`, `1 < ∥c i∥`, then it satisfies this inequality for all `m`. -/
lemma bound_of_shell {ε : ι → ℝ} {C : ℝ} (hε : ∀ i, 0 < ε i) {c : ι → 𝕜} (hc : ∀ i, 1 < ∥c i∥)
(hf : ∀ m : Π i, E i, (∀ i, ε i / ∥c i∥ ≤ ∥m i∥) → (∀ i, ∥m i∥ < ε i) → ∥f m∥ ≤ C * ∏ i, ∥m i∥)
(m : Π i, E i) : ∥f m∥ ≤ C * ∏ i, ∥m i∥ :=
begin
rcases em (∃ i, m i = 0) with ⟨i, hi⟩|hm; [skip, push_neg at hm],
{ simp [f.map_coord_zero i hi, prod_eq_zero (mem_univ i), hi] },
choose δ hδ0 hδm_lt hle_δm hδinv using λ i, rescale_to_shell (hc i) (hε i) (hm i),
have hδ0 : 0 < ∏ i, ∥δ i∥, from prod_pos (λ i _, norm_pos_iff.2 (hδ0 i)),
simpa [map_smul_univ, norm_smul, prod_mul_distrib, mul_left_comm C, mul_le_mul_left hδ0]
using hf (λ i, δ i • m i) hle_δm hδm_lt,
end
/-- If a multilinear map in finitely many variables on normed spaces is continuous, then it
satisfies the inequality `∥f m∥ ≤ C * ∏ i, ∥m i∥`, for some `C` which can be chosen to be
positive. -/
theorem exists_bound_of_continuous (hf : continuous f) :
∃ (C : ℝ), 0 < C ∧ (∀ m, ∥f m∥ ≤ C * ∏ i, ∥m i∥) :=
begin
casesI is_empty_or_nonempty ι,
{ refine ⟨∥f 0∥ + 1, add_pos_of_nonneg_of_pos (norm_nonneg _) zero_lt_one, λ m, _⟩,
obtain rfl : m = 0, from funext (is_empty.elim ‹_›),
simp [univ_eq_empty, zero_le_one] },
obtain ⟨ε : ℝ, ε0 : 0 < ε, hε : ∀ m : Π i, E i, ∥m - 0∥ < ε → ∥f m - f 0∥ < 1⟩ :=
normed_group.tendsto_nhds_nhds.1 (hf.tendsto 0) 1 zero_lt_one,
simp only [sub_zero, f.map_zero] at hε,
rcases normed_field.exists_one_lt_norm 𝕜 with ⟨c, hc⟩,
have : 0 < (∥c∥ / ε) ^ fintype.card ι, from pow_pos (div_pos (zero_lt_one.trans hc) ε0) _,
refine ⟨_, this, _⟩,
refine f.bound_of_shell (λ _, ε0) (λ _, hc) (λ m hcm hm, _),
refine (hε m ((pi_norm_lt_iff ε0).2 hm)).le.trans _,
rw [← div_le_iff' this, one_div, ← inv_pow₀, inv_div, fintype.card, ← prod_const],
exact prod_le_prod (λ _ _, div_nonneg ε0.le (norm_nonneg _)) (λ i _, hcm i)
end
/-- If `f` satisfies a boundedness property around `0`, one can deduce a bound on `f m₁ - f m₂`
using the multilinearity. Here, we give a precise but hard to use version. See
`norm_image_sub_le_of_bound` for a less precise but more usable version. The bound reads
`∥f m - f m'∥ ≤
C * ∥m 1 - m' 1∥ * max ∥m 2∥ ∥m' 2∥ * max ∥m 3∥ ∥m' 3∥ * ... * max ∥m n∥ ∥m' n∥ + ...`,
where the other terms in the sum are the same products where `1` is replaced by any `i`. -/
lemma norm_image_sub_le_of_bound' {C : ℝ} (hC : 0 ≤ C)
(H : ∀ m, ∥f m∥ ≤ C * ∏ i, ∥m i∥) (m₁ m₂ : Πi, E i) :
∥f m₁ - f m₂∥ ≤
C * ∑ i, ∏ j, if j = i then ∥m₁ i - m₂ i∥ else max ∥m₁ j∥ ∥m₂ j∥ :=
begin
have A : ∀(s : finset ι), ∥f m₁ - f (s.piecewise m₂ m₁)∥
≤ C * ∑ i in s, ∏ j, if j = i then ∥m₁ i - m₂ i∥ else max ∥m₁ j∥ ∥m₂ j∥,
{ refine finset.induction (by simp) _,
assume i s his Hrec,
have I : ∥f (s.piecewise m₂ m₁) - f ((insert i s).piecewise m₂ m₁)∥
≤ C * ∏ j, if j = i then ∥m₁ i - m₂ i∥ else max ∥m₁ j∥ ∥m₂ j∥,
{ have A : ((insert i s).piecewise m₂ m₁)
= function.update (s.piecewise m₂ m₁) i (m₂ i) := s.piecewise_insert _ _ _,
have B : s.piecewise m₂ m₁ = function.update (s.piecewise m₂ m₁) i (m₁ i),
{ ext j,
by_cases h : j = i,
{ rw h, simp [his] },
{ simp [h] } },
rw [B, A, ← f.map_sub],
apply le_trans (H _) (mul_le_mul_of_nonneg_left _ hC),
refine prod_le_prod (λj hj, norm_nonneg _) (λj hj, _),
by_cases h : j = i,
{ rw h, simp },
{ by_cases h' : j ∈ s;
simp [h', h, le_refl] } },
calc ∥f m₁ - f ((insert i s).piecewise m₂ m₁)∥ ≤
∥f m₁ - f (s.piecewise m₂ m₁)∥ + ∥f (s.piecewise m₂ m₁) - f ((insert i s).piecewise m₂ m₁)∥ :
by { rw [← dist_eq_norm, ← dist_eq_norm, ← dist_eq_norm], exact dist_triangle _ _ _ }
... ≤ (C * ∑ i in s, ∏ j, if j = i then ∥m₁ i - m₂ i∥ else max ∥m₁ j∥ ∥m₂ j∥)
+ C * ∏ j, if j = i then ∥m₁ i - m₂ i∥ else max ∥m₁ j∥ ∥m₂ j∥ :
add_le_add Hrec I
... = C * ∑ i in insert i s, ∏ j, if j = i then ∥m₁ i - m₂ i∥ else max ∥m₁ j∥ ∥m₂ j∥ :
by simp [his, add_comm, left_distrib] },
convert A univ,
simp
end
/-- If `f` satisfies a boundedness property around `0`, one can deduce a bound on `f m₁ - f m₂`
using the multilinearity. Here, we give a usable but not very precise version. See
`norm_image_sub_le_of_bound'` for a more precise but less usable version. The bound is
`∥f m - f m'∥ ≤ C * card ι * ∥m - m'∥ * (max ∥m∥ ∥m'∥) ^ (card ι - 1)`. -/
lemma norm_image_sub_le_of_bound {C : ℝ} (hC : 0 ≤ C)
(H : ∀ m, ∥f m∥ ≤ C * ∏ i, ∥m i∥) (m₁ m₂ : Πi, E i) :
∥f m₁ - f m₂∥ ≤ C * (fintype.card ι) * (max ∥m₁∥ ∥m₂∥) ^ (fintype.card ι - 1) * ∥m₁ - m₂∥ :=
begin
have A : ∀ (i : ι), ∏ j, (if j = i then ∥m₁ i - m₂ i∥ else max ∥m₁ j∥ ∥m₂ j∥)
≤ ∥m₁ - m₂∥ * (max ∥m₁∥ ∥m₂∥) ^ (fintype.card ι - 1),
{ assume i,
calc ∏ j, (if j = i then ∥m₁ i - m₂ i∥ else max ∥m₁ j∥ ∥m₂ j∥)
≤ ∏ j : ι, function.update (λ j, max ∥m₁∥ ∥m₂∥) i (∥m₁ - m₂∥) j :
begin
apply prod_le_prod,
{ assume j hj, by_cases h : j = i; simp [h, norm_nonneg] },
{ assume j hj,
by_cases h : j = i,
{ rw h, simp, exact norm_le_pi_norm (m₁ - m₂) i },
{ simp [h, max_le_max, norm_le_pi_norm (_ : Π i, E i)] } }
end
... = ∥m₁ - m₂∥ * (max ∥m₁∥ ∥m₂∥) ^ (fintype.card ι - 1) :
by { rw prod_update_of_mem (finset.mem_univ _), simp [card_univ_diff] } },
calc
∥f m₁ - f m₂∥
≤ C * ∑ i, ∏ j, if j = i then ∥m₁ i - m₂ i∥ else max ∥m₁ j∥ ∥m₂ j∥ :
f.norm_image_sub_le_of_bound' hC H m₁ m₂
... ≤ C * ∑ i, ∥m₁ - m₂∥ * (max ∥m₁∥ ∥m₂∥) ^ (fintype.card ι - 1) :
mul_le_mul_of_nonneg_left (sum_le_sum (λi hi, A i)) hC
... = C * (fintype.card ι) * (max ∥m₁∥ ∥m₂∥) ^ (fintype.card ι - 1) * ∥m₁ - m₂∥ :
by { rw [sum_const, card_univ, nsmul_eq_mul], ring }
end
/-- If a multilinear map satisfies an inequality `∥f m∥ ≤ C * ∏ i, ∥m i∥`, then it is
continuous. -/
theorem continuous_of_bound (C : ℝ) (H : ∀ m, ∥f m∥ ≤ C * ∏ i, ∥m i∥) :
continuous f :=
begin
let D := max C 1,
have D_pos : 0 ≤ D := le_trans zero_le_one (le_max_right _ _),
replace H : ∀ m, ∥f m∥ ≤ D * ∏ i, ∥m i∥,
{ assume m,
apply le_trans (H m) (mul_le_mul_of_nonneg_right (le_max_left _ _) _),
exact prod_nonneg (λ(i : ι) hi, norm_nonneg (m i)) },
refine continuous_iff_continuous_at.2 (λm, _),
refine continuous_at_of_locally_lipschitz zero_lt_one
(D * (fintype.card ι) * (∥m∥ + 1) ^ (fintype.card ι - 1)) (λm' h', _),
rw [dist_eq_norm, dist_eq_norm],
have : 0 ≤ (max ∥m'∥ ∥m∥), by simp,
have : (max ∥m'∥ ∥m∥) ≤ ∥m∥ + 1,
by simp [zero_le_one, norm_le_of_mem_closed_ball (le_of_lt h'), -add_comm],
calc
∥f m' - f m∥
≤ D * (fintype.card ι) * (max ∥m'∥ ∥m∥) ^ (fintype.card ι - 1) * ∥m' - m∥ :
f.norm_image_sub_le_of_bound D_pos H m' m
... ≤ D * (fintype.card ι) * (∥m∥ + 1) ^ (fintype.card ι - 1) * ∥m' - m∥ :
by apply_rules [mul_le_mul_of_nonneg_right, mul_le_mul_of_nonneg_left, mul_nonneg,
norm_nonneg, nat.cast_nonneg, pow_le_pow_of_le_left]
end
/-- Constructing a continuous multilinear map from a multilinear map satisfying a boundedness
condition. -/
def mk_continuous (C : ℝ) (H : ∀ m, ∥f m∥ ≤ C * ∏ i, ∥m i∥) :
continuous_multilinear_map 𝕜 E G :=
{ cont := f.continuous_of_bound C H, ..f }
@[simp] lemma coe_mk_continuous (C : ℝ) (H : ∀ m, ∥f m∥ ≤ C * ∏ i, ∥m i∥) :
⇑(f.mk_continuous C H) = f :=
rfl
/-- Given a multilinear map in `n` variables, if one restricts it to `k` variables putting `z` on
the other coordinates, then the resulting restricted function satisfies an inequality
`∥f.restr v∥ ≤ C * ∥z∥^(n-k) * Π ∥v i∥` if the original function satisfies `∥f v∥ ≤ C * Π ∥v i∥`. -/
lemma restr_norm_le {k n : ℕ} (f : (multilinear_map 𝕜 (λ i : fin n, G) G' : _))
(s : finset (fin n)) (hk : s.card = k) (z : G) {C : ℝ}
(H : ∀ m, ∥f m∥ ≤ C * ∏ i, ∥m i∥) (v : fin k → G) :
∥f.restr s hk z v∥ ≤ C * ∥z∥ ^ (n - k) * ∏ i, ∥v i∥ :=
begin
rw [mul_right_comm, mul_assoc],
convert H _ using 2,
simp only [apply_dite norm, fintype.prod_dite, prod_const (∥z∥), finset.card_univ,
fintype.card_of_subtype sᶜ (λ x, mem_compl), card_compl, fintype.card_fin, hk, mk_coe,
← (s.order_iso_of_fin hk).symm.bijective.prod_comp (λ x, ∥v x∥)],
refl
end
end multilinear_map
/-!
### Continuous multilinear maps
We define the norm `∥f∥` of a continuous multilinear map `f` in finitely many variables as the
smallest number such that `∥f m∥ ≤ ∥f∥ * ∏ i, ∥m i∥` for all `m`. We show that this
defines a normed space structure on `continuous_multilinear_map 𝕜 E G`.
-/
namespace continuous_multilinear_map
variables (c : 𝕜) (f g : continuous_multilinear_map 𝕜 E G) (m : Πi, E i)
theorem bound : ∃ (C : ℝ), 0 < C ∧ (∀ m, ∥f m∥ ≤ C * ∏ i, ∥m i∥) :=
f.to_multilinear_map.exists_bound_of_continuous f.2
open real
/-- The operator norm of a continuous multilinear map is the inf of all its bounds. -/
def op_norm := Inf {c | 0 ≤ (c : ℝ) ∧ ∀ m, ∥f m∥ ≤ c * ∏ i, ∥m i∥}
instance has_op_norm : has_norm (continuous_multilinear_map 𝕜 E G) := ⟨op_norm⟩
/-- An alias of `continuous_multilinear_map.has_op_norm` with non-dependent types to help typeclass
search. -/
instance has_op_norm' : has_norm (continuous_multilinear_map 𝕜 (λ (i : ι), G) G') :=
continuous_multilinear_map.has_op_norm
lemma norm_def : ∥f∥ = Inf {c | 0 ≤ (c : ℝ) ∧ ∀ m, ∥f m∥ ≤ c * ∏ i, ∥m i∥} := rfl
-- So that invocations of `le_cInf` make sense: we show that the set of
-- bounds is nonempty and bounded below.
lemma bounds_nonempty {f : continuous_multilinear_map 𝕜 E G} :
∃ c, c ∈ {c | 0 ≤ c ∧ ∀ m, ∥f m∥ ≤ c * ∏ i, ∥m i∥} :=
let ⟨M, hMp, hMb⟩ := f.bound in ⟨M, le_of_lt hMp, hMb⟩
lemma bounds_bdd_below {f : continuous_multilinear_map 𝕜 E G} :
bdd_below {c | 0 ≤ c ∧ ∀ m, ∥f m∥ ≤ c * ∏ i, ∥m i∥} :=
⟨0, λ _ ⟨hn, _⟩, hn⟩
lemma op_norm_nonneg : 0 ≤ ∥f∥ :=
le_cInf bounds_nonempty (λ _ ⟨hx, _⟩, hx)
/-- The fundamental property of the operator norm of a continuous multilinear map:
`∥f m∥` is bounded by `∥f∥` times the product of the `∥m i∥`. -/
theorem le_op_norm : ∥f m∥ ≤ ∥f∥ * ∏ i, ∥m i∥ :=
begin
have A : 0 ≤ ∏ i, ∥m i∥ := prod_nonneg (λj hj, norm_nonneg _),
cases A.eq_or_lt with h hlt,
{ rcases prod_eq_zero_iff.1 h.symm with ⟨i, _, hi⟩,
rw norm_eq_zero at hi,
have : f m = 0 := f.map_coord_zero i hi,
rw [this, norm_zero],
exact mul_nonneg (op_norm_nonneg f) A },
{ rw [← div_le_iff hlt],
apply le_cInf bounds_nonempty,
rintro c ⟨_, hc⟩, rw [div_le_iff hlt], apply hc }
end
theorem le_of_op_norm_le {C : ℝ} (h : ∥f∥ ≤ C) : ∥f m∥ ≤ C * ∏ i, ∥m i∥ :=
(f.le_op_norm m).trans $ mul_le_mul_of_nonneg_right h (prod_nonneg $ λ i _, norm_nonneg (m i))
lemma ratio_le_op_norm : ∥f m∥ / ∏ i, ∥m i∥ ≤ ∥f∥ :=
div_le_of_nonneg_of_le_mul (prod_nonneg $ λ i _, norm_nonneg _) (op_norm_nonneg _) (f.le_op_norm m)
/-- The image of the unit ball under a continuous multilinear map is bounded. -/
lemma unit_le_op_norm (h : ∥m∥ ≤ 1) : ∥f m∥ ≤ ∥f∥ :=
calc
∥f m∥ ≤ ∥f∥ * ∏ i, ∥m i∥ : f.le_op_norm m
... ≤ ∥f∥ * ∏ i : ι, 1 :
mul_le_mul_of_nonneg_left (prod_le_prod (λi hi, norm_nonneg _)
(λi hi, le_trans (norm_le_pi_norm (_ : Π i, E i) _) h)) (op_norm_nonneg f)
... = ∥f∥ : by simp
/-- If one controls the norm of every `f x`, then one controls the norm of `f`. -/
lemma op_norm_le_bound {M : ℝ} (hMp: 0 ≤ M) (hM : ∀ m, ∥f m∥ ≤ M * ∏ i, ∥m i∥) :
∥f∥ ≤ M :=
cInf_le bounds_bdd_below ⟨hMp, hM⟩
/-- The operator norm satisfies the triangle inequality. -/
theorem op_norm_add_le : ∥f + g∥ ≤ ∥f∥ + ∥g∥ :=
cInf_le bounds_bdd_below
⟨add_nonneg (op_norm_nonneg _) (op_norm_nonneg _), λ x, by { rw add_mul,
exact norm_add_le_of_le (le_op_norm _ _) (le_op_norm _ _) }⟩
/-- A continuous linear map is zero iff its norm vanishes. -/
theorem op_norm_zero_iff : ∥f∥ = 0 ↔ f = 0 :=
begin
split,
{ assume h,
ext m,
simpa [h] using f.le_op_norm m },
{ rintro rfl,
apply le_antisymm (op_norm_le_bound 0 le_rfl (λm, _)) (op_norm_nonneg _),
simp }
end
section
variables {𝕜' : Type*} [normed_field 𝕜'] [normed_space 𝕜' G] [smul_comm_class 𝕜 𝕜' G]
lemma op_norm_smul_le (c : 𝕜') : ∥c • f∥ ≤ ∥c∥ * ∥f∥ :=
(c • f).op_norm_le_bound
(mul_nonneg (norm_nonneg _) (op_norm_nonneg _))
begin
intro m,
erw [norm_smul, mul_assoc],
exact mul_le_mul_of_nonneg_left (le_op_norm _ _) (norm_nonneg _)
end
lemma op_norm_neg : ∥-f∥ = ∥f∥ := by { rw norm_def, apply congr_arg, ext, simp }
/-- Continuous multilinear maps themselves form a normed space with respect to
the operator norm. -/
instance normed_group : normed_group (continuous_multilinear_map 𝕜 E G) :=
normed_group.of_core _ ⟨op_norm_zero_iff, op_norm_add_le, op_norm_neg⟩
/-- An alias of `continuous_multilinear_map.normed_group` with non-dependent types to help typeclass
search. -/
instance normed_group' : normed_group (continuous_multilinear_map 𝕜 (λ i : ι, G) G') :=
continuous_multilinear_map.normed_group
instance normed_space : normed_space 𝕜' (continuous_multilinear_map 𝕜 E G) :=
⟨λ c f, f.op_norm_smul_le c⟩
/-- An alias of `continuous_multilinear_map.normed_space` with non-dependent types to help typeclass
search. -/
instance normed_space' : normed_space 𝕜' (continuous_multilinear_map 𝕜 (λ i : ι, G') G) :=
continuous_multilinear_map.normed_space
theorem le_op_norm_mul_prod_of_le {b : ι → ℝ} (hm : ∀ i, ∥m i∥ ≤ b i) : ∥f m∥ ≤ ∥f∥ * ∏ i, b i :=
(f.le_op_norm m).trans $ mul_le_mul_of_nonneg_left
(prod_le_prod (λ _ _, norm_nonneg _) (λ i _, hm i)) (norm_nonneg f)
theorem le_op_norm_mul_pow_card_of_le {b : ℝ} (hm : ∀ i, ∥m i∥ ≤ b) :
∥f m∥ ≤ ∥f∥ * b ^ fintype.card ι :=
by simpa only [prod_const] using f.le_op_norm_mul_prod_of_le m hm
theorem le_op_norm_mul_pow_of_le {Ei : fin n → Type*} [Π i, normed_group (Ei i)]
[Π i, normed_space 𝕜 (Ei i)] (f : continuous_multilinear_map 𝕜 Ei G) (m : Π i, Ei i)
{b : ℝ} (hm : ∥m∥ ≤ b) :
∥f m∥ ≤ ∥f∥ * b ^ n :=
by simpa only [fintype.card_fin]
using f.le_op_norm_mul_pow_card_of_le m (λ i, (norm_le_pi_norm m i).trans hm)
/-- The fundamental property of the operator norm of a continuous multilinear map:
`∥f m∥` is bounded by `∥f∥` times the product of the `∥m i∥`, `nnnorm` version. -/
theorem le_op_nnnorm : ∥f m∥₊ ≤ ∥f∥₊ * ∏ i, ∥m i∥₊ :=
nnreal.coe_le_coe.1 $ by { push_cast, exact f.le_op_norm m }
theorem le_of_op_nnnorm_le {C : ℝ≥0} (h : ∥f∥₊ ≤ C) : ∥f m∥₊ ≤ C * ∏ i, ∥m i∥₊ :=
(f.le_op_nnnorm m).trans $ mul_le_mul' h le_rfl
lemma op_norm_prod (f : continuous_multilinear_map 𝕜 E G) (g : continuous_multilinear_map 𝕜 E G') :
∥f.prod g∥ = max (∥f∥) (∥g∥) :=
le_antisymm
(op_norm_le_bound _ (norm_nonneg (f, g)) (λ m,
have H : 0 ≤ ∏ i, ∥m i∥, from prod_nonneg $ λ _ _, norm_nonneg _,
by simpa only [prod_apply, prod.norm_def, max_mul_of_nonneg, H]
using max_le_max (f.le_op_norm m) (g.le_op_norm m))) $
max_le
(f.op_norm_le_bound (norm_nonneg _) $ λ m, (le_max_left _ _).trans ((f.prod g).le_op_norm _))
(g.op_norm_le_bound (norm_nonneg _) $ λ m, (le_max_right _ _).trans ((f.prod g).le_op_norm _))
lemma norm_pi {ι' : Type v'} [fintype ι'] {E' : ι' → Type wE'} [Π i', normed_group (E' i')]
[Π i', normed_space 𝕜 (E' i')] (f : Π i', continuous_multilinear_map 𝕜 E (E' i')) :
∥pi f∥ = ∥f∥ :=
begin
apply le_antisymm,
{ refine (op_norm_le_bound _ (norm_nonneg f) (λ m, _)),
dsimp,
rw pi_norm_le_iff,
exacts [λ i, (f i).le_of_op_norm_le m (norm_le_pi_norm f i),
mul_nonneg (norm_nonneg f) (prod_nonneg $ λ _ _, norm_nonneg _)] },
{ refine (pi_norm_le_iff (norm_nonneg _)).2 (λ i, _),
refine (op_norm_le_bound _ (norm_nonneg _) (λ m, _)),
refine le_trans _ ((pi f).le_op_norm m),
convert norm_le_pi_norm (λ j, f j m) i }
end
section
variables (𝕜 E E' G G')
/-- `continuous_multilinear_map.prod` as a `linear_isometry_equiv`. -/
def prodL :
(continuous_multilinear_map 𝕜 E G) × (continuous_multilinear_map 𝕜 E G') ≃ₗᵢ[𝕜]
continuous_multilinear_map 𝕜 E (G × G') :=
{ to_fun := λ f, f.1.prod f.2,
inv_fun := λ f, ((continuous_linear_map.fst 𝕜 G G').comp_continuous_multilinear_map f,
(continuous_linear_map.snd 𝕜 G G').comp_continuous_multilinear_map f),
map_add' := λ f g, rfl,
map_smul' := λ c f, rfl,
left_inv := λ f, by ext; refl,
right_inv := λ f, by ext; refl,
norm_map' := λ f, op_norm_prod f.1 f.2 }
/-- `continuous_multilinear_map.pi` as a `linear_isometry_equiv`. -/
def piₗᵢ {ι' : Type v'} [fintype ι'] {E' : ι' → Type wE'} [Π i', normed_group (E' i')]
[Π i', normed_space 𝕜 (E' i')] :
@linear_isometry_equiv 𝕜 𝕜 _ _ (ring_hom.id 𝕜) _ _ _
(Π i', continuous_multilinear_map 𝕜 E (E' i')) (continuous_multilinear_map 𝕜 E (Π i, E' i)) _ _
(@pi.module ι' _ 𝕜 _ _ (λ i', infer_instance)) _ :=
{ to_linear_equiv :=
-- note: `pi_linear_equiv` does not unify correctly here, presumably due to issues with dependent
-- typeclass arguments.
{ map_add' := λ f g, rfl,
map_smul' := λ c f, rfl,
.. pi_equiv, },
norm_map' := norm_pi }
end
end
section restrict_scalars
variables {𝕜' : Type*} [nondiscrete_normed_field 𝕜'] [normed_algebra 𝕜' 𝕜]
variables [normed_space 𝕜' G] [is_scalar_tower 𝕜' 𝕜 G]
variables [Π i, normed_space 𝕜' (E i)] [∀ i, is_scalar_tower 𝕜' 𝕜 (E i)]
@[simp] lemma norm_restrict_scalars : ∥f.restrict_scalars 𝕜'∥ = ∥f∥ :=
by simp only [norm_def, coe_restrict_scalars]
variable (𝕜')
/-- `continuous_multilinear_map.restrict_scalars` as a `continuous_multilinear_map`. -/
def restrict_scalars_linear :
continuous_multilinear_map 𝕜 E G →L[𝕜'] continuous_multilinear_map 𝕜' E G :=
linear_map.mk_continuous
{ to_fun := restrict_scalars 𝕜',
map_add' := λ m₁ m₂, rfl,
map_smul' := λ c m, rfl } 1 $ λ f, by simp
variable {𝕜'}
lemma continuous_restrict_scalars :
continuous (restrict_scalars 𝕜' : continuous_multilinear_map 𝕜 E G →
continuous_multilinear_map 𝕜' E G) :=
(restrict_scalars_linear 𝕜').continuous
end restrict_scalars
/-- The difference `f m₁ - f m₂` is controlled in terms of `∥f∥` and `∥m₁ - m₂∥`, precise version.
For a less precise but more usable version, see `norm_image_sub_le`. The bound reads
`∥f m - f m'∥ ≤
∥f∥ * ∥m 1 - m' 1∥ * max ∥m 2∥ ∥m' 2∥ * max ∥m 3∥ ∥m' 3∥ * ... * max ∥m n∥ ∥m' n∥ + ...`,
where the other terms in the sum are the same products where `1` is replaced by any `i`.-/
lemma norm_image_sub_le' (m₁ m₂ : Πi, E i) :
∥f m₁ - f m₂∥ ≤
∥f∥ * ∑ i, ∏ j, if j = i then ∥m₁ i - m₂ i∥ else max ∥m₁ j∥ ∥m₂ j∥ :=
f.to_multilinear_map.norm_image_sub_le_of_bound' (norm_nonneg _) f.le_op_norm _ _
/-- The difference `f m₁ - f m₂` is controlled in terms of `∥f∥` and `∥m₁ - m₂∥`, less precise
version. For a more precise but less usable version, see `norm_image_sub_le'`.
The bound is `∥f m - f m'∥ ≤ ∥f∥ * card ι * ∥m - m'∥ * (max ∥m∥ ∥m'∥) ^ (card ι - 1)`.-/
lemma norm_image_sub_le (m₁ m₂ : Πi, E i) :
∥f m₁ - f m₂∥ ≤ ∥f∥ * (fintype.card ι) * (max ∥m₁∥ ∥m₂∥) ^ (fintype.card ι - 1) * ∥m₁ - m₂∥ :=
f.to_multilinear_map.norm_image_sub_le_of_bound (norm_nonneg _) f.le_op_norm _ _
/-- Applying a multilinear map to a vector is continuous in both coordinates. -/
lemma continuous_eval :
continuous (λ p : continuous_multilinear_map 𝕜 E G × Π i, E i, p.1 p.2) :=
begin
apply continuous_iff_continuous_at.2 (λp, _),
apply continuous_at_of_locally_lipschitz zero_lt_one
((∥p∥ + 1) * (fintype.card ι) * (∥p∥ + 1) ^ (fintype.card ι - 1) + ∏ i, ∥p.2 i∥)
(λq hq, _),
have : 0 ≤ (max ∥q.2∥ ∥p.2∥), by simp,
have : 0 ≤ ∥p∥ + 1, by simp [le_trans zero_le_one],
have A : ∥q∥ ≤ ∥p∥ + 1 := norm_le_of_mem_closed_ball (le_of_lt hq),
have : (max ∥q.2∥ ∥p.2∥) ≤ ∥p∥ + 1 :=
le_trans (max_le_max (norm_snd_le q) (norm_snd_le p)) (by simp [A, -add_comm, zero_le_one]),
have : ∀ (i : ι), i ∈ univ → 0 ≤ ∥p.2 i∥ := λ i hi, norm_nonneg _,
calc dist (q.1 q.2) (p.1 p.2)
≤ dist (q.1 q.2) (q.1 p.2) + dist (q.1 p.2) (p.1 p.2) : dist_triangle _ _ _
... = ∥q.1 q.2 - q.1 p.2∥ + ∥q.1 p.2 - p.1 p.2∥ : by rw [dist_eq_norm, dist_eq_norm]
... ≤ ∥q.1∥ * (fintype.card ι) * (max ∥q.2∥ ∥p.2∥) ^ (fintype.card ι - 1) * ∥q.2 - p.2∥
+ ∥q.1 - p.1∥ * ∏ i, ∥p.2 i∥ :
add_le_add (norm_image_sub_le _ _ _) ((q.1 - p.1).le_op_norm p.2)
... ≤ (∥p∥ + 1) * (fintype.card ι) * (∥p∥ + 1) ^ (fintype.card ι - 1) * ∥q - p∥
+ ∥q - p∥ * ∏ i, ∥p.2 i∥ :
by apply_rules [add_le_add, mul_le_mul, le_refl, le_trans (norm_fst_le q) A, nat.cast_nonneg,
mul_nonneg, pow_le_pow_of_le_left, pow_nonneg, norm_snd_le (q - p), norm_nonneg,
norm_fst_le (q - p), prod_nonneg]
... = ((∥p∥ + 1) * (fintype.card ι) * (∥p∥ + 1) ^ (fintype.card ι - 1)
+ (∏ i, ∥p.2 i∥)) * dist q p : by { rw dist_eq_norm, ring }
end
lemma continuous_eval_left (m : Π i, E i) :
continuous (λ p : continuous_multilinear_map 𝕜 E G, p m) :=
continuous_eval.comp (continuous_id.prod_mk continuous_const)
lemma has_sum_eval
{α : Type*} {p : α → continuous_multilinear_map 𝕜 E G} {q : continuous_multilinear_map 𝕜 E G}
(h : has_sum p q) (m : Π i, E i) : has_sum (λ a, p a m) (q m) :=
begin
dsimp [has_sum] at h ⊢,
convert ((continuous_eval_left m).tendsto _).comp h,
ext s,
simp
end
lemma tsum_eval {α : Type*} {p : α → continuous_multilinear_map 𝕜 E G} (hp : summable p)
(m : Π i, E i) : (∑' a, p a) m = ∑' a, p a m :=
(has_sum_eval hp.has_sum m).tsum_eq.symm
open_locale topological_space
open filter
/-- If the target space is complete, the space of continuous multilinear maps with its norm is also
complete. The proof is essentially the same as for the space of continuous linear maps (modulo the
addition of `finset.prod` where needed. The duplication could be avoided by deducing the linear
case from the multilinear case via a currying isomorphism. However, this would mess up imports,
and it is more satisfactory to have the simplest case as a standalone proof. -/
instance [complete_space G] : complete_space (continuous_multilinear_map 𝕜 E G) :=
begin
have nonneg : ∀ (v : Π i, E i), 0 ≤ ∏ i, ∥v i∥ :=
λ v, finset.prod_nonneg (λ i hi, norm_nonneg _),
-- We show that every Cauchy sequence converges.
refine metric.complete_of_cauchy_seq_tendsto (λ f hf, _),
-- We now expand out the definition of a Cauchy sequence,
rcases cauchy_seq_iff_le_tendsto_0.1 hf with ⟨b, b0, b_bound, b_lim⟩,
-- and establish that the evaluation at any point `v : Π i, E i` is Cauchy.
have cau : ∀ v, cauchy_seq (λ n, f n v),
{ assume v,
apply cauchy_seq_iff_le_tendsto_0.2 ⟨λ n, b n * ∏ i, ∥v i∥, λ n, _, _, _⟩,
{ exact mul_nonneg (b0 n) (nonneg v) },
{ assume n m N hn hm,
rw dist_eq_norm,
apply le_trans ((f n - f m).le_op_norm v) _,
exact mul_le_mul_of_nonneg_right (b_bound n m N hn hm) (nonneg v) },
{ simpa using b_lim.mul tendsto_const_nhds } },
-- We assemble the limits points of those Cauchy sequences
-- (which exist as `G` is complete)
-- into a function which we call `F`.
choose F hF using λv, cauchy_seq_tendsto_of_complete (cau v),
-- Next, we show that this `F` is multilinear,
let Fmult : multilinear_map 𝕜 E G :=
{ to_fun := F,
map_add' := λ v i x y, begin
have A := hF (function.update v i (x + y)),
have B := (hF (function.update v i x)).add (hF (function.update v i y)),
simp at A B,
exact tendsto_nhds_unique A B
end,
map_smul' := λ v i c x, begin
have A := hF (function.update v i (c • x)),
have B := filter.tendsto.smul (@tendsto_const_nhds _ ℕ _ c _) (hF (function.update v i x)),
simp at A B,
exact tendsto_nhds_unique A B
end },
-- and that `F` has norm at most `(b 0 + ∥f 0∥)`.
have Fnorm : ∀ v, ∥F v∥ ≤ (b 0 + ∥f 0∥) * ∏ i, ∥v i∥,
{ assume v,
have A : ∀ n, ∥f n v∥ ≤ (b 0 + ∥f 0∥) * ∏ i, ∥v i∥,
{ assume n,
apply le_trans ((f n).le_op_norm _) _,
apply mul_le_mul_of_nonneg_right _ (nonneg v),
calc ∥f n∥ = ∥(f n - f 0) + f 0∥ : by { congr' 1, abel }
... ≤ ∥f n - f 0∥ + ∥f 0∥ : norm_add_le _ _
... ≤ b 0 + ∥f 0∥ : begin
apply add_le_add_right,
simpa [dist_eq_norm] using b_bound n 0 0 (zero_le _) (zero_le _)
end },
exact le_of_tendsto (hF v).norm (eventually_of_forall A) },
-- Thus `F` is continuous, and we propose that as the limit point of our original Cauchy sequence.
let Fcont := Fmult.mk_continuous _ Fnorm,
use Fcont,
-- Our last task is to establish convergence to `F` in norm.
have : ∀ n, ∥f n - Fcont∥ ≤ b n,
{ assume n,
apply op_norm_le_bound _ (b0 n) (λ v, _),
have A : ∀ᶠ m in at_top, ∥(f n - f m) v∥ ≤ b n * ∏ i, ∥v i∥,
{ refine eventually_at_top.2 ⟨n, λ m hm, _⟩,
apply le_trans ((f n - f m).le_op_norm _) _,
exact mul_le_mul_of_nonneg_right (b_bound n m n le_rfl hm) (nonneg v) },
have B : tendsto (λ m, ∥(f n - f m) v∥) at_top (𝓝 (∥(f n - Fcont) v∥)) :=
tendsto.norm (tendsto_const_nhds.sub (hF v)),
exact le_of_tendsto B A },
erw tendsto_iff_norm_tendsto_zero,
exact squeeze_zero (λ n, norm_nonneg _) this b_lim,
end
end continuous_multilinear_map
/-- If a continuous multilinear map is constructed from a multilinear map via the constructor
`mk_continuous`, then its norm is bounded by the bound given to the constructor if it is
nonnegative. -/
lemma multilinear_map.mk_continuous_norm_le (f : multilinear_map 𝕜 E G) {C : ℝ} (hC : 0 ≤ C)
(H : ∀ m, ∥f m∥ ≤ C * ∏ i, ∥m i∥) : ∥f.mk_continuous C H∥ ≤ C :=
continuous_multilinear_map.op_norm_le_bound _ hC (λm, H m)
/-- If a continuous multilinear map is constructed from a multilinear map via the constructor
`mk_continuous`, then its norm is bounded by the bound given to the constructor if it is
nonnegative. -/
lemma multilinear_map.mk_continuous_norm_le' (f : multilinear_map 𝕜 E G) {C : ℝ}
(H : ∀ m, ∥f m∥ ≤ C * ∏ i, ∥m i∥) : ∥f.mk_continuous C H∥ ≤ max C 0 :=
continuous_multilinear_map.op_norm_le_bound _ (le_max_right _ _) $
λ m, (H m).trans $ mul_le_mul_of_nonneg_right (le_max_left _ _)
(prod_nonneg $ λ _ _, norm_nonneg _)
namespace continuous_multilinear_map
/-- Given a continuous multilinear map `f` on `n` variables (parameterized by `fin n`) and a subset
`s` of `k` of these variables, one gets a new continuous multilinear map on `fin k` by varying
these variables, and fixing the other ones equal to a given value `z`. It is denoted by
`f.restr s hk z`, where `hk` is a proof that the cardinality of `s` is `k`. The implicit
identification between `fin k` and `s` that we use is the canonical (increasing) bijection. -/
def restr {k n : ℕ} (f : (G [×n]→L[𝕜] G' : _)) (s : finset (fin n)) (hk : s.card = k) (z : G) :
G [×k]→L[𝕜] G' :=
(f.to_multilinear_map.restr s hk z).mk_continuous
(∥f∥ * ∥z∥^(n-k)) $ λ v, multilinear_map.restr_norm_le _ _ _ _ f.le_op_norm _
lemma norm_restr {k n : ℕ} (f : G [×n]→L[𝕜] G') (s : finset (fin n)) (hk : s.card = k) (z : G) :
∥f.restr s hk z∥ ≤ ∥f∥ * ∥z∥ ^ (n - k) :=
begin
apply multilinear_map.mk_continuous_norm_le,
exact mul_nonneg (norm_nonneg _) (pow_nonneg (norm_nonneg _) _)
end
section
variables {𝕜 ι} {A : Type*} [normed_comm_ring A] [normed_algebra 𝕜 A]
@[simp]
lemma norm_mk_pi_algebra_le [nonempty ι] :
∥continuous_multilinear_map.mk_pi_algebra 𝕜 ι A∥ ≤ 1 :=
begin
have := λ f, @op_norm_le_bound 𝕜 ι (λ i, A) A _ _ _ _ _ _ _ f _ zero_le_one,
refine this _ _,
intros m,
simp only [continuous_multilinear_map.mk_pi_algebra_apply, one_mul],
exact norm_prod_le' _ univ_nonempty _,
end
lemma norm_mk_pi_algebra_of_empty [is_empty ι] :
∥continuous_multilinear_map.mk_pi_algebra 𝕜 ι A∥ = ∥(1 : A)∥ :=
begin
apply le_antisymm,
{ have := λ f, @op_norm_le_bound 𝕜 ι (λ i, A) A _ _ _ _ _ _ _ f _ (norm_nonneg (1 : A)),
refine this _ _,
simp, },
{ convert ratio_le_op_norm _ (λ _, (1 : A)),
simp [eq_empty_of_is_empty (univ : finset ι)], },
end
@[simp] lemma norm_mk_pi_algebra [norm_one_class A] :
∥continuous_multilinear_map.mk_pi_algebra 𝕜 ι A∥ = 1 :=
begin
casesI is_empty_or_nonempty ι,
{ simp [norm_mk_pi_algebra_of_empty] },
{ refine le_antisymm norm_mk_pi_algebra_le _,
convert ratio_le_op_norm _ (λ _, 1); [skip, apply_instance],
simp },
end
end
section
variables {𝕜 n} {A : Type*} [normed_ring A] [normed_algebra 𝕜 A]
lemma norm_mk_pi_algebra_fin_succ_le :
∥continuous_multilinear_map.mk_pi_algebra_fin 𝕜 n.succ A∥ ≤ 1 :=
begin
have := λ f, @op_norm_le_bound 𝕜 (fin n.succ) (λ i, A) A _ _ _ _ _ _ _ f _ zero_le_one,
refine this _ _,
intros m,
simp only [continuous_multilinear_map.mk_pi_algebra_fin_apply, one_mul, list.of_fn_eq_map,
fin.univ_def, finset.fin_range, finset.prod, multiset.coe_map, multiset.coe_prod],
refine (list.norm_prod_le' _).trans_eq _,
{ rw [ne.def, list.map_eq_nil, list.fin_range_eq_nil],
exact nat.succ_ne_zero _, },
rw list.map_map,
end
lemma norm_mk_pi_algebra_fin_le_of_pos (hn : 0 < n) :
∥continuous_multilinear_map.mk_pi_algebra_fin 𝕜 n A∥ ≤ 1 :=
begin
obtain ⟨n, rfl⟩ := nat.exists_eq_succ_of_ne_zero hn.ne',
exact norm_mk_pi_algebra_fin_succ_le
end
lemma norm_mk_pi_algebra_fin_zero :
∥continuous_multilinear_map.mk_pi_algebra_fin 𝕜 0 A∥ = ∥(1 : A)∥ :=
begin
refine le_antisymm _ _,
{ have := λ f, @op_norm_le_bound 𝕜 (fin 0) (λ i, A) A _ _ _ _ _ _ _ f _ (norm_nonneg (1 : A)),
refine this _ _,
simp, },
{ convert ratio_le_op_norm _ (λ _, (1 : A)),
simp }
end
@[simp] lemma norm_mk_pi_algebra_fin [norm_one_class A] :
∥continuous_multilinear_map.mk_pi_algebra_fin 𝕜 n A∥ = 1 :=
begin
cases n,
{ simp [norm_mk_pi_algebra_fin_zero] },
{ refine le_antisymm norm_mk_pi_algebra_fin_succ_le _,
convert ratio_le_op_norm _ (λ _, 1); [skip, apply_instance],
simp }
end
end
variables (𝕜 ι)
/-- The canonical continuous multilinear map on `𝕜^ι`, associating to `m` the product of all the
`m i` (multiplied by a fixed reference element `z` in the target module) -/
protected def mk_pi_field (z : G) : continuous_multilinear_map 𝕜 (λ(i : ι), 𝕜) G :=
multilinear_map.mk_continuous
(multilinear_map.mk_pi_ring 𝕜 ι z) (∥z∥)
(λ m, by simp only [multilinear_map.mk_pi_ring_apply, norm_smul, norm_prod,
mul_comm])
variables {𝕜 ι}
@[simp] lemma mk_pi_field_apply (z : G) (m : ι → 𝕜) :
(continuous_multilinear_map.mk_pi_field 𝕜 ι z : (ι → 𝕜) → G) m = (∏ i, m i) • z := rfl
lemma mk_pi_field_apply_one_eq_self (f : continuous_multilinear_map 𝕜 (λ(i : ι), 𝕜) G) :
continuous_multilinear_map.mk_pi_field 𝕜 ι (f (λi, 1)) = f :=
to_multilinear_map_inj f.to_multilinear_map.mk_pi_ring_apply_one_eq_self
@[simp] lemma norm_mk_pi_field (z : G) : ∥continuous_multilinear_map.mk_pi_field 𝕜 ι z∥ = ∥z∥ :=
(multilinear_map.mk_continuous_norm_le _ (norm_nonneg z) _).antisymm $
by simpa using (continuous_multilinear_map.mk_pi_field 𝕜 ι z).le_op_norm (λ _, 1)
variables (𝕜 ι G)
/-- Continuous multilinear maps on `𝕜^n` with values in `G` are in bijection with `G`, as such a
continuous multilinear map is completely determined by its value on the constant vector made of
ones. We register this bijection as a linear isometry in
`continuous_multilinear_map.pi_field_equiv`. -/
protected def pi_field_equiv : G ≃ₗᵢ[𝕜] (continuous_multilinear_map 𝕜 (λ(i : ι), 𝕜) G) :=
{ to_fun := λ z, continuous_multilinear_map.mk_pi_field 𝕜 ι z,
inv_fun := λ f, f (λi, 1),
map_add' := λ z z', by { ext m, simp [smul_add] },
map_smul' := λ c z, by { ext m, simp [smul_smul, mul_comm] },
left_inv := λ z, by simp,
right_inv := λ f, f.mk_pi_field_apply_one_eq_self,
norm_map' := norm_mk_pi_field }
end continuous_multilinear_map
namespace continuous_linear_map
lemma norm_comp_continuous_multilinear_map_le (g : G →L[𝕜] G')
(f : continuous_multilinear_map 𝕜 E G) :
∥g.comp_continuous_multilinear_map f∥ ≤ ∥g∥ * ∥f∥ :=
continuous_multilinear_map.op_norm_le_bound _ (mul_nonneg (norm_nonneg _) (norm_nonneg _)) $ λ m,
calc ∥g (f m)∥ ≤ ∥g∥ * (∥f∥ * ∏ i, ∥m i∥) : g.le_op_norm_of_le $ f.le_op_norm _
... = _ : (mul_assoc _ _ _).symm
/-- `continuous_linear_map.comp_continuous_multilinear_map` as a bundled continuous bilinear map. -/
def comp_continuous_multilinear_mapL :
(G →L[𝕜] G') →L[𝕜] continuous_multilinear_map 𝕜 E G →L[𝕜] continuous_multilinear_map 𝕜 E G' :=
linear_map.mk_continuous₂
(linear_map.mk₂ 𝕜 comp_continuous_multilinear_map (λ f₁ f₂ g, rfl) (λ c f g, rfl)
(λ f g₁ g₂, by { ext1, apply f.map_add }) (λ c f g, by { ext1, simp }))
1 $ λ f g, by { rw one_mul, exact f.norm_comp_continuous_multilinear_map_le g }
/-- Flip arguments in `f : G →L[𝕜] continuous_multilinear_map 𝕜 E G'` to get
`continuous_multilinear_map 𝕜 E (G →L[𝕜] G')` -/
def flip_multilinear (f : G →L[𝕜] continuous_multilinear_map 𝕜 E G') :
continuous_multilinear_map 𝕜 E (G →L[𝕜] G') :=
multilinear_map.mk_continuous
{ to_fun := λ m, linear_map.mk_continuous
{ to_fun := λ x, f x m,
map_add' := λ x y, by simp only [map_add, continuous_multilinear_map.add_apply],
map_smul' := λ c x, by simp only [continuous_multilinear_map.smul_apply, map_smul,
ring_hom.id_apply] }
(∥f∥ * ∏ i, ∥m i∥) $ λ x,
by { rw mul_right_comm, exact (f x).le_of_op_norm_le _ (f.le_op_norm x) },
map_add' := λ m i x y,
by { ext1, simp only [add_apply, continuous_multilinear_map.map_add, linear_map.coe_mk,
linear_map.mk_continuous_apply]},
map_smul' := λ m i c x,
by { ext1, simp only [coe_smul', continuous_multilinear_map.map_smul, linear_map.coe_mk,
linear_map.mk_continuous_apply, pi.smul_apply]} }
∥f∥ $ λ m,
linear_map.mk_continuous_norm_le _
(mul_nonneg (norm_nonneg f) (prod_nonneg $ λ i hi, norm_nonneg (m i))) _
end continuous_linear_map
open continuous_multilinear_map
namespace multilinear_map
/-- Given a map `f : G →ₗ[𝕜] multilinear_map 𝕜 E G'` and an estimate
`H : ∀ x m, ∥f x m∥ ≤ C * ∥x∥ * ∏ i, ∥m i∥`, construct a continuous linear
map from `G` to `continuous_multilinear_map 𝕜 E G'`.
In order to lift, e.g., a map `f : (multilinear_map 𝕜 E G) →ₗ[𝕜] multilinear_map 𝕜 E' G'`
to a map `(continuous_multilinear_map 𝕜 E G) →L[𝕜] continuous_multilinear_map 𝕜 E' G'`,
one can apply this construction to `f.comp continuous_multilinear_map.to_multilinear_map_linear`
which is a linear map from `continuous_multilinear_map 𝕜 E G` to `multilinear_map 𝕜 E' G'`. -/
def mk_continuous_linear (f : G →ₗ[𝕜] multilinear_map 𝕜 E G') (C : ℝ)
(H : ∀ x m, ∥f x m∥ ≤ C * ∥x∥ * ∏ i, ∥m i∥) :
G →L[𝕜] continuous_multilinear_map 𝕜 E G' :=
linear_map.mk_continuous
{ to_fun := λ x, (f x).mk_continuous (C * ∥x∥) $ H x,
map_add' := λ x y, by { ext1, simp },
map_smul' := λ c x, by { ext1, simp } }
(max C 0) $ λ x, ((f x).mk_continuous_norm_le' _).trans_eq $
by rw [max_mul_of_nonneg _ _ (norm_nonneg x), zero_mul]
lemma mk_continuous_linear_norm_le' (f : G →ₗ[𝕜] multilinear_map 𝕜 E G') (C : ℝ)
(H : ∀ x m, ∥f x m∥ ≤ C * ∥x∥ * ∏ i, ∥m i∥) :
∥mk_continuous_linear f C H∥ ≤ max C 0 :=
begin
dunfold mk_continuous_linear,
exact linear_map.mk_continuous_norm_le _ (le_max_right _ _) _
end
lemma mk_continuous_linear_norm_le (f : G →ₗ[𝕜] multilinear_map 𝕜 E G') {C : ℝ} (hC : 0 ≤ C)
(H : ∀ x m, ∥f x m∥ ≤ C * ∥x∥ * ∏ i, ∥m i∥) :
∥mk_continuous_linear f C H∥ ≤ C :=
(mk_continuous_linear_norm_le' f C H).trans_eq (max_eq_left hC)
/-- Given a map `f : multilinear_map 𝕜 E (multilinear_map 𝕜 E' G)` and an estimate
`H : ∀ m m', ∥f m m'∥ ≤ C * ∏ i, ∥m i∥ * ∏ i, ∥m' i∥`, upgrade all `multilinear_map`s in the type to
`continuous_multilinear_map`s. -/
def mk_continuous_multilinear (f : multilinear_map 𝕜 E (multilinear_map 𝕜 E' G)) (C : ℝ)
(H : ∀ m₁ m₂, ∥f m₁ m₂∥ ≤ C * (∏ i, ∥m₁ i∥) * ∏ i, ∥m₂ i∥) :
continuous_multilinear_map 𝕜 E (continuous_multilinear_map 𝕜 E' G) :=
mk_continuous
{ to_fun := λ m, mk_continuous (f m) (C * ∏ i, ∥m i∥) $ H m,
map_add' := λ m i x y, by { ext1, simp },
map_smul' := λ m i c x, by { ext1, simp } }
(max C 0) $ λ m, ((f m).mk_continuous_norm_le' _).trans_eq $
by { rw [max_mul_of_nonneg, zero_mul], exact prod_nonneg (λ _ _, norm_nonneg _) }
@[simp] lemma mk_continuous_multilinear_apply (f : multilinear_map 𝕜 E (multilinear_map 𝕜 E' G))
{C : ℝ} (H : ∀ m₁ m₂, ∥f m₁ m₂∥ ≤ C * (∏ i, ∥m₁ i∥) * ∏ i, ∥m₂ i∥) (m : Π i, E i) :
⇑(mk_continuous_multilinear f C H m) = f m :=
rfl
lemma mk_continuous_multilinear_norm_le' (f : multilinear_map 𝕜 E (multilinear_map 𝕜 E' G)) (C : ℝ)
(H : ∀ m₁ m₂, ∥f m₁ m₂∥ ≤ C * (∏ i, ∥m₁ i∥) * ∏ i, ∥m₂ i∥) :
∥mk_continuous_multilinear f C H∥ ≤ max C 0 :=
begin
dunfold mk_continuous_multilinear,
exact mk_continuous_norm_le _ (le_max_right _ _) _
end
lemma mk_continuous_multilinear_norm_le (f : multilinear_map 𝕜 E (multilinear_map 𝕜 E' G)) {C : ℝ}
(hC : 0 ≤ C) (H : ∀ m₁ m₂, ∥f m₁ m₂∥ ≤ C * (∏ i, ∥m₁ i∥) * ∏ i, ∥m₂ i∥) :
∥mk_continuous_multilinear f C H∥ ≤ C :=
(mk_continuous_multilinear_norm_le' f C H).trans_eq (max_eq_left hC)
end multilinear_map
namespace continuous_multilinear_map
lemma norm_comp_continuous_linear_le (g : continuous_multilinear_map 𝕜 E₁ G)
(f : Π i, E i →L[𝕜] E₁ i) :
∥g.comp_continuous_linear_map f∥ ≤ ∥g∥ * ∏ i, ∥f i∥ :=
op_norm_le_bound _ (mul_nonneg (norm_nonneg _) $ prod_nonneg $ λ i hi, norm_nonneg _) $ λ m,
calc ∥g (λ i, f i (m i))∥ ≤ ∥g∥ * ∏ i, ∥f i (m i)∥ : g.le_op_norm _
... ≤ ∥g∥ * ∏ i, (∥f i∥ * ∥m i∥) :
mul_le_mul_of_nonneg_left
(prod_le_prod (λ _ _, norm_nonneg _) (λ i hi, (f i).le_op_norm (m i))) (norm_nonneg g)
... = (∥g∥ * ∏ i, ∥f i∥) * ∏ i, ∥m i∥ : by rw [prod_mul_distrib, mul_assoc]
/-- `continuous_multilinear_map.comp_continuous_linear_map` as a bundled continuous linear map.
This implementation fixes `f : Π i, E i →L[𝕜] E₁ i`.
TODO: Actually, the map is multilinear in `f` but an attempt to formalize this failed because of
issues with class instances. -/
def comp_continuous_linear_mapL (f : Π i, E i →L[𝕜] E₁ i) :
continuous_multilinear_map 𝕜 E₁ G →L[𝕜] continuous_multilinear_map 𝕜 E G :=
linear_map.mk_continuous
{ to_fun := λ g, g.comp_continuous_linear_map f,
map_add' := λ g₁ g₂, rfl,
map_smul' := λ c g, rfl }
(∏ i, ∥f i∥) $ λ g, (norm_comp_continuous_linear_le _ _).trans_eq (mul_comm _ _)
@[simp] lemma comp_continuous_linear_mapL_apply (g : continuous_multilinear_map 𝕜 E₁ G)
(f : Π i, E i →L[𝕜] E₁ i) :
comp_continuous_linear_mapL f g = g.comp_continuous_linear_map f :=
rfl
lemma norm_comp_continuous_linear_mapL_le (f : Π i, E i →L[𝕜] E₁ i) :
∥@comp_continuous_linear_mapL 𝕜 ι E E₁ G _ _ _ _ _ _ _ _ _ f∥ ≤ (∏ i, ∥f i∥) :=
linear_map.mk_continuous_norm_le _ (prod_nonneg $ λ i _, norm_nonneg _) _
end continuous_multilinear_map
section currying
/-!
### Currying
We associate to a continuous multilinear map in `n+1` variables (i.e., based on `fin n.succ`) two
curried functions, named `f.curry_left` (which is a continuous linear map on `E 0` taking values
in continuous multilinear maps in `n` variables) and `f.curry_right` (which is a continuous
multilinear map in `n` variables taking values in continuous linear maps on `E (last n)`).
The inverse operations are called `uncurry_left` and `uncurry_right`.
We also register continuous linear equiv versions of these correspondences, in
`continuous_multilinear_curry_left_equiv` and `continuous_multilinear_curry_right_equiv`.
-/
open fin function
lemma continuous_linear_map.norm_map_tail_le
(f : Ei 0 →L[𝕜] (continuous_multilinear_map 𝕜 (λ(i : fin n), Ei i.succ) G)) (m : Πi, Ei i) :
∥f (m 0) (tail m)∥ ≤ ∥f∥ * ∏ i, ∥m i∥ :=
calc
∥f (m 0) (tail m)∥ ≤ ∥f (m 0)∥ * ∏ i, ∥(tail m) i∥ : (f (m 0)).le_op_norm _
... ≤ (∥f∥ * ∥m 0∥) * ∏ i, ∥(tail m) i∥ :
mul_le_mul_of_nonneg_right (f.le_op_norm _) (prod_nonneg (λi hi, norm_nonneg _))
... = ∥f∥ * (∥m 0∥ * ∏ i, ∥(tail m) i∥) : by ring
... = ∥f∥ * ∏ i, ∥m i∥ : by { rw prod_univ_succ, refl }
lemma continuous_multilinear_map.norm_map_init_le
(f : continuous_multilinear_map 𝕜 (λ(i : fin n), Ei i.cast_succ) (Ei (last n) →L[𝕜] G))
(m : Πi, Ei i) :
∥f (init m) (m (last n))∥ ≤ ∥f∥ * ∏ i, ∥m i∥ :=
calc
∥f (init m) (m (last n))∥ ≤ ∥f (init m)∥ * ∥m (last n)∥ : (f (init m)).le_op_norm _
... ≤ (∥f∥ * (∏ i, ∥(init m) i∥)) * ∥m (last n)∥ :
mul_le_mul_of_nonneg_right (f.le_op_norm _) (norm_nonneg _)
... = ∥f∥ * ((∏ i, ∥(init m) i∥) * ∥m (last n)∥) : mul_assoc _ _ _
... = ∥f∥ * ∏ i, ∥m i∥ : by { rw prod_univ_cast_succ, refl }
lemma continuous_multilinear_map.norm_map_cons_le
(f : continuous_multilinear_map 𝕜 Ei G) (x : Ei 0) (m : Π(i : fin n), Ei i.succ) :
∥f (cons x m)∥ ≤ ∥f∥ * ∥x∥ * ∏ i, ∥m i∥ :=
calc
∥f (cons x m)∥ ≤ ∥f∥ * ∏ i, ∥cons x m i∥ : f.le_op_norm _
... = (∥f∥ * ∥x∥) * ∏ i, ∥m i∥ : by { rw prod_univ_succ, simp [mul_assoc] }
lemma continuous_multilinear_map.norm_map_snoc_le
(f : continuous_multilinear_map 𝕜 Ei G) (m : Π(i : fin n), Ei i.cast_succ) (x : Ei (last n)) :
∥f (snoc m x)∥ ≤ ∥f∥ * (∏ i, ∥m i∥) * ∥x∥ :=
calc
∥f (snoc m x)∥ ≤ ∥f∥ * ∏ i, ∥snoc m x i∥ : f.le_op_norm _
... = ∥f∥ * (∏ i, ∥m i∥) * ∥x∥ : by { rw prod_univ_cast_succ, simp [mul_assoc] }
/-! #### Left currying -/
/-- Given a continuous linear map `f` from `E 0` to continuous multilinear maps on `n` variables,
construct the corresponding continuous multilinear map on `n+1` variables obtained by concatenating
the variables, given by `m ↦ f (m 0) (tail m)`-/
def continuous_linear_map.uncurry_left
(f : Ei 0 →L[𝕜] (continuous_multilinear_map 𝕜 (λ(i : fin n), Ei i.succ) G)) :
continuous_multilinear_map 𝕜 Ei G :=
(@linear_map.uncurry_left 𝕜 n Ei G _ _ _ _ _
(continuous_multilinear_map.to_multilinear_map_linear.comp f.to_linear_map)).mk_continuous
(∥f∥) (λm, continuous_linear_map.norm_map_tail_le f m)
@[simp] lemma continuous_linear_map.uncurry_left_apply
(f : Ei 0 →L[𝕜] (continuous_multilinear_map 𝕜 (λ(i : fin n), Ei i.succ) G)) (m : Πi, Ei i) :
f.uncurry_left m = f (m 0) (tail m) := rfl
/-- Given a continuous multilinear map `f` in `n+1` variables, split the first variable to obtain
a continuous linear map into continuous multilinear maps in `n` variables, given by
`x ↦ (m ↦ f (cons x m))`. -/
def continuous_multilinear_map.curry_left
(f : continuous_multilinear_map 𝕜 Ei G) :
Ei 0 →L[𝕜] (continuous_multilinear_map 𝕜 (λ(i : fin n), Ei i.succ) G) :=
linear_map.mk_continuous
{ -- define a linear map into `n` continuous multilinear maps from an `n+1` continuous multilinear
-- map
to_fun := λx, (f.to_multilinear_map.curry_left x).mk_continuous
(∥f∥ * ∥x∥) (f.norm_map_cons_le x),
map_add' := λx y, by { ext m, exact f.cons_add m x y },
map_smul' := λc x, by { ext m, exact f.cons_smul m c x } }
-- then register its continuity thanks to its boundedness properties.
(∥f∥) (λx, multilinear_map.mk_continuous_norm_le _ (mul_nonneg (norm_nonneg _) (norm_nonneg _)) _)
@[simp] lemma continuous_multilinear_map.curry_left_apply
(f : continuous_multilinear_map 𝕜 Ei G) (x : Ei 0) (m : Π(i : fin n), Ei i.succ) :
f.curry_left x m = f (cons x m) := rfl
@[simp] lemma continuous_linear_map.curry_uncurry_left
(f : Ei 0 →L[𝕜] (continuous_multilinear_map 𝕜 (λ(i : fin n), Ei i.succ) G)) :
f.uncurry_left.curry_left = f :=
begin
ext m x,
simp only [tail_cons, continuous_linear_map.uncurry_left_apply,
continuous_multilinear_map.curry_left_apply],
rw cons_zero
end
@[simp] lemma continuous_multilinear_map.uncurry_curry_left
(f : continuous_multilinear_map 𝕜 Ei G) : f.curry_left.uncurry_left = f :=
continuous_multilinear_map.to_multilinear_map_inj $ f.to_multilinear_map.uncurry_curry_left
variables (𝕜 Ei G)
/-- The space of continuous multilinear maps on `Π(i : fin (n+1)), E i` is canonically isomorphic to
the space of continuous linear maps from `E 0` to the space of continuous multilinear maps on
`Π(i : fin n), E i.succ `, by separating the first variable. We register this isomorphism in
`continuous_multilinear_curry_left_equiv 𝕜 E E₂`. The algebraic version (without topology) is given
in `multilinear_curry_left_equiv 𝕜 E E₂`.
The direct and inverse maps are given by `f.uncurry_left` and `f.curry_left`. Use these
unless you need the full framework of linear isometric equivs. -/
def continuous_multilinear_curry_left_equiv :
(Ei 0 →L[𝕜] (continuous_multilinear_map 𝕜 (λ(i : fin n), Ei i.succ) G)) ≃ₗᵢ[𝕜]
(continuous_multilinear_map 𝕜 Ei G) :=
linear_isometry_equiv.of_bounds
{ to_fun := continuous_linear_map.uncurry_left,
map_add' := λf₁ f₂, by { ext m, refl },
map_smul' := λc f, by { ext m, refl },
inv_fun := continuous_multilinear_map.curry_left,
left_inv := continuous_linear_map.curry_uncurry_left,
right_inv := continuous_multilinear_map.uncurry_curry_left }
(λ f, multilinear_map.mk_continuous_norm_le _ (norm_nonneg f) _)
(λ f, linear_map.mk_continuous_norm_le _ (norm_nonneg f) _)
variables {𝕜 Ei G}
@[simp] lemma continuous_multilinear_curry_left_equiv_apply
(f : Ei 0 →L[𝕜] (continuous_multilinear_map 𝕜 (λ i : fin n, Ei i.succ) G)) (v : Π i, Ei i) :
continuous_multilinear_curry_left_equiv 𝕜 Ei G f v = f (v 0) (tail v) := rfl
@[simp] lemma continuous_multilinear_curry_left_equiv_symm_apply
(f : continuous_multilinear_map 𝕜 Ei G) (x : Ei 0) (v : Π i : fin n, Ei i.succ) :
(continuous_multilinear_curry_left_equiv 𝕜 Ei G).symm f x v = f (cons x v) := rfl
@[simp] lemma continuous_multilinear_map.curry_left_norm
(f : continuous_multilinear_map 𝕜 Ei G) : ∥f.curry_left∥ = ∥f∥ :=
(continuous_multilinear_curry_left_equiv 𝕜 Ei G).symm.norm_map f
@[simp] lemma continuous_linear_map.uncurry_left_norm
(f : Ei 0 →L[𝕜] (continuous_multilinear_map 𝕜 (λ(i : fin n), Ei i.succ) G)) :
∥f.uncurry_left∥ = ∥f∥ :=
(continuous_multilinear_curry_left_equiv 𝕜 Ei G).norm_map f
/-! #### Right currying -/
/-- Given a continuous linear map `f` from continuous multilinear maps on `n` variables to
continuous linear maps on `E 0`, construct the corresponding continuous multilinear map on `n+1`
variables obtained by concatenating the variables, given by `m ↦ f (init m) (m (last n))`. -/
def continuous_multilinear_map.uncurry_right
(f : continuous_multilinear_map 𝕜 (λ i : fin n, Ei i.cast_succ) (Ei (last n) →L[𝕜] G)) :
continuous_multilinear_map 𝕜 Ei G :=
let f' : multilinear_map 𝕜 (λ(i : fin n), Ei i.cast_succ) (Ei (last n) →ₗ[𝕜] G) :=
{ to_fun := λ m, (f m).to_linear_map,
map_add' := λ m i x y, by simp,
map_smul' := λ m i c x, by simp } in
(@multilinear_map.uncurry_right 𝕜 n Ei G _ _ _ _ _ f').mk_continuous
(∥f∥) (λm, f.norm_map_init_le m)
@[simp] lemma continuous_multilinear_map.uncurry_right_apply
(f : continuous_multilinear_map 𝕜 (λ(i : fin n), Ei i.cast_succ) (Ei (last n) →L[𝕜] G))
(m : Πi, Ei i) :
f.uncurry_right m = f (init m) (m (last n)) := rfl
/-- Given a continuous multilinear map `f` in `n+1` variables, split the last variable to obtain
a continuous multilinear map in `n` variables into continuous linear maps, given by
`m ↦ (x ↦ f (snoc m x))`. -/
def continuous_multilinear_map.curry_right
(f : continuous_multilinear_map 𝕜 Ei G) :
continuous_multilinear_map 𝕜 (λ i : fin n, Ei i.cast_succ) (Ei (last n) →L[𝕜] G) :=
let f' : multilinear_map 𝕜 (λ(i : fin n), Ei i.cast_succ) (Ei (last n) →L[𝕜] G) :=
{ to_fun := λm, (f.to_multilinear_map.curry_right m).mk_continuous
(∥f∥ * ∏ i, ∥m i∥) $ λx, f.norm_map_snoc_le m x,
map_add' := λ m i x y, by { simp, refl },
map_smul' := λ m i c x, by { simp, refl } } in
f'.mk_continuous (∥f∥) (λm, linear_map.mk_continuous_norm_le _
(mul_nonneg (norm_nonneg _) (prod_nonneg (λj hj, norm_nonneg _))) _)
@[simp] lemma continuous_multilinear_map.curry_right_apply
(f : continuous_multilinear_map 𝕜 Ei G) (m : Π i : fin n, Ei i.cast_succ) (x : Ei (last n)) :
f.curry_right m x = f (snoc m x) := rfl
@[simp] lemma continuous_multilinear_map.curry_uncurry_right
(f : continuous_multilinear_map 𝕜 (λ i : fin n, Ei i.cast_succ) (Ei (last n) →L[𝕜] G)) :
f.uncurry_right.curry_right = f :=
begin
ext m x,
simp only [snoc_last, continuous_multilinear_map.curry_right_apply,
continuous_multilinear_map.uncurry_right_apply],
rw init_snoc
end
@[simp] lemma continuous_multilinear_map.uncurry_curry_right
(f : continuous_multilinear_map 𝕜 Ei G) : f.curry_right.uncurry_right = f :=
by { ext m, simp }
variables (𝕜 Ei G)
/--
The space of continuous multilinear maps on `Π(i : fin (n+1)), Ei i` is canonically isomorphic to
the space of continuous multilinear maps on `Π(i : fin n), Ei i.cast_succ` with values in the space
of continuous linear maps on `Ei (last n)`, by separating the last variable. We register this
isomorphism as a continuous linear equiv in `continuous_multilinear_curry_right_equiv 𝕜 Ei G`.
The algebraic version (without topology) is given in `multilinear_curry_right_equiv 𝕜 Ei G`.
The direct and inverse maps are given by `f.uncurry_right` and `f.curry_right`. Use these
unless you need the full framework of linear isometric equivs.
-/
def continuous_multilinear_curry_right_equiv :
(continuous_multilinear_map 𝕜 (λ(i : fin n), Ei i.cast_succ) (Ei (last n) →L[𝕜] G)) ≃ₗᵢ[𝕜]
(continuous_multilinear_map 𝕜 Ei G) :=
linear_isometry_equiv.of_bounds
{ to_fun := continuous_multilinear_map.uncurry_right,
map_add' := λf₁ f₂, by { ext m, refl },
map_smul' := λc f, by { ext m, refl },
inv_fun := continuous_multilinear_map.curry_right,
left_inv := continuous_multilinear_map.curry_uncurry_right,
right_inv := continuous_multilinear_map.uncurry_curry_right }
(λ f, multilinear_map.mk_continuous_norm_le _ (norm_nonneg f) _)
(λ f, multilinear_map.mk_continuous_norm_le _ (norm_nonneg f) _)
variables (n G')
/-- The space of continuous multilinear maps on `Π(i : fin (n+1)), G` is canonically isomorphic to
the space of continuous multilinear maps on `Π(i : fin n), G` with values in the space
of continuous linear maps on `G`, by separating the last variable. We register this
isomorphism as a continuous linear equiv in `continuous_multilinear_curry_right_equiv' 𝕜 n G G'`.
For a version allowing dependent types, see `continuous_multilinear_curry_right_equiv`. When there
are no dependent types, use the primed version as it helps Lean a lot for unification.
The direct and inverse maps are given by `f.uncurry_right` and `f.curry_right`. Use these
unless you need the full framework of linear isometric equivs. -/
def continuous_multilinear_curry_right_equiv' :
(G [×n]→L[𝕜] (G →L[𝕜] G')) ≃ₗᵢ[𝕜] (G [×n.succ]→L[𝕜] G') :=
continuous_multilinear_curry_right_equiv 𝕜 (λ (i : fin n.succ), G) G'
variables {n 𝕜 G Ei G'}
@[simp] lemma continuous_multilinear_curry_right_equiv_apply
(f : (continuous_multilinear_map 𝕜 (λ(i : fin n), Ei i.cast_succ) (Ei (last n) →L[𝕜] G)))
(v : Π i, Ei i) :
(continuous_multilinear_curry_right_equiv 𝕜 Ei G) f v = f (init v) (v (last n)) := rfl
@[simp] lemma continuous_multilinear_curry_right_equiv_symm_apply
(f : continuous_multilinear_map 𝕜 Ei G)
(v : Π (i : fin n), Ei i.cast_succ) (x : Ei (last n)) :
(continuous_multilinear_curry_right_equiv 𝕜 Ei G).symm f v x = f (snoc v x) := rfl
@[simp] lemma continuous_multilinear_curry_right_equiv_apply'
(f : G [×n]→L[𝕜] (G →L[𝕜] G')) (v : fin (n + 1) → G) :
continuous_multilinear_curry_right_equiv' 𝕜 n G G' f v = f (init v) (v (last n)) := rfl
@[simp] lemma continuous_multilinear_curry_right_equiv_symm_apply'
(f : G [×n.succ]→L[𝕜] G') (v : fin n → G) (x : G) :
(continuous_multilinear_curry_right_equiv' 𝕜 n G G').symm f v x = f (snoc v x) := rfl
@[simp] lemma continuous_multilinear_map.curry_right_norm
(f : continuous_multilinear_map 𝕜 Ei G) : ∥f.curry_right∥ = ∥f∥ :=
(continuous_multilinear_curry_right_equiv 𝕜 Ei G).symm.norm_map f
@[simp] lemma continuous_multilinear_map.uncurry_right_norm
(f : continuous_multilinear_map 𝕜 (λ i : fin n, Ei i.cast_succ) (Ei (last n) →L[𝕜] G)) :
∥f.uncurry_right∥ = ∥f∥ :=
(continuous_multilinear_curry_right_equiv 𝕜 Ei G).norm_map f
/-!
#### Currying with `0` variables
The space of multilinear maps with `0` variables is trivial: such a multilinear map is just an
arbitrary constant (note that multilinear maps in `0` variables need not map `0` to `0`!).
Therefore, the space of continuous multilinear maps on `(fin 0) → G` with values in `E₂` is
isomorphic (and even isometric) to `E₂`. As this is the zeroth step in the construction of iterated
derivatives, we register this isomorphism. -/
section
local attribute [instance] unique.subsingleton
variables {𝕜 G G'}
/-- Associating to a continuous multilinear map in `0` variables the unique value it takes. -/
def continuous_multilinear_map.uncurry0
(f : continuous_multilinear_map 𝕜 (λ (i : fin 0), G) G') : G' := f 0
variables (𝕜 G)
/-- Associating to an element `x` of a vector space `E₂` the continuous multilinear map in `0`
variables taking the (unique) value `x` -/
def continuous_multilinear_map.curry0 (x : G') : G [×0]→L[𝕜] G' :=
{ to_fun := λm, x,
map_add' := λ m i, fin.elim0 i,
map_smul' := λ m i, fin.elim0 i,
cont := continuous_const }
variable {G}
@[simp] lemma continuous_multilinear_map.curry0_apply (x : G') (m : (fin 0) → G) :
continuous_multilinear_map.curry0 𝕜 G x m = x := rfl
variable {𝕜}
@[simp] lemma continuous_multilinear_map.uncurry0_apply (f : G [×0]→L[𝕜] G') :
f.uncurry0 = f 0 := rfl
@[simp] lemma continuous_multilinear_map.apply_zero_curry0 (f : G [×0]→L[𝕜] G') {x : fin 0 → G} :
continuous_multilinear_map.curry0 𝕜 G (f x) = f :=
by { ext m, simp [(subsingleton.elim _ _ : x = m)] }
lemma continuous_multilinear_map.uncurry0_curry0 (f : G [×0]→L[𝕜] G') :
continuous_multilinear_map.curry0 𝕜 G (f.uncurry0) = f :=
by simp
variables (𝕜 G)
@[simp] lemma continuous_multilinear_map.curry0_uncurry0 (x : G') :
(continuous_multilinear_map.curry0 𝕜 G x).uncurry0 = x := rfl
@[simp] lemma continuous_multilinear_map.curry0_norm (x : G') :
∥continuous_multilinear_map.curry0 𝕜 G x∥ = ∥x∥ :=
begin
apply le_antisymm,
{ exact continuous_multilinear_map.op_norm_le_bound _ (norm_nonneg _) (λm, by simp) },
{ simpa using (continuous_multilinear_map.curry0 𝕜 G x).le_op_norm 0 }
end
variables {𝕜 G}
@[simp] lemma continuous_multilinear_map.fin0_apply_norm (f : G [×0]→L[𝕜] G') {x : fin 0 → G} :
∥f x∥ = ∥f∥ :=
begin
obtain rfl : x = 0 := subsingleton.elim _ _,
refine le_antisymm (by simpa using f.le_op_norm 0) _,
have : ∥continuous_multilinear_map.curry0 𝕜 G (f.uncurry0)∥ ≤ ∥f.uncurry0∥ :=
continuous_multilinear_map.op_norm_le_bound _ (norm_nonneg _) (λm,
by simp [-continuous_multilinear_map.apply_zero_curry0]),
simpa
end
lemma continuous_multilinear_map.uncurry0_norm (f : G [×0]→L[𝕜] G') : ∥f.uncurry0∥ = ∥f∥ :=
by simp
variables (𝕜 G G')
/-- The continuous linear isomorphism between elements of a normed space, and continuous multilinear
maps in `0` variables with values in this normed space.
The direct and inverse maps are `uncurry0` and `curry0`. Use these unless you need the full
framework of linear isometric equivs. -/
def continuous_multilinear_curry_fin0 : (G [×0]→L[𝕜] G') ≃ₗᵢ[𝕜] G' :=
{ to_fun := λf, continuous_multilinear_map.uncurry0 f,
inv_fun := λf, continuous_multilinear_map.curry0 𝕜 G f,
map_add' := λf g, rfl,
map_smul' := λc f, rfl,
left_inv := continuous_multilinear_map.uncurry0_curry0,
right_inv := continuous_multilinear_map.curry0_uncurry0 𝕜 G,
norm_map' := continuous_multilinear_map.uncurry0_norm }
variables {𝕜 G G'}
@[simp] lemma continuous_multilinear_curry_fin0_apply (f : G [×0]→L[𝕜] G') :
continuous_multilinear_curry_fin0 𝕜 G G' f = f 0 := rfl
@[simp] lemma continuous_multilinear_curry_fin0_symm_apply (x : G') (v : (fin 0) → G) :
(continuous_multilinear_curry_fin0 𝕜 G G').symm x v = x := rfl
end
/-! #### With 1 variable -/
variables (𝕜 G G')
/-- Continuous multilinear maps from `G^1` to `G'` are isomorphic with continuous linear maps from
`G` to `G'`. -/
def continuous_multilinear_curry_fin1 : (G [×1]→L[𝕜] G') ≃ₗᵢ[𝕜] (G →L[𝕜] G') :=
(continuous_multilinear_curry_right_equiv 𝕜 (λ (i : fin 1), G) G').symm.trans
(continuous_multilinear_curry_fin0 𝕜 G (G →L[𝕜] G'))
variables {𝕜 G G'}
@[simp] lemma continuous_multilinear_curry_fin1_apply (f : G [×1]→L[𝕜] G') (x : G) :
continuous_multilinear_curry_fin1 𝕜 G G' f x = f (fin.snoc 0 x) := rfl
@[simp] lemma continuous_multilinear_curry_fin1_symm_apply
(f : G →L[𝕜] G') (v : (fin 1) → G) :
(continuous_multilinear_curry_fin1 𝕜 G G').symm f v = f (v 0) := rfl
namespace continuous_multilinear_map
variables (𝕜 G G')
/-- An equivalence of the index set defines a linear isometric equivalence between the spaces
of multilinear maps. -/
def dom_dom_congr (σ : ι ≃ ι') :
continuous_multilinear_map 𝕜 (λ _ : ι, G) G' ≃ₗᵢ[𝕜]
continuous_multilinear_map 𝕜 (λ _ : ι', G) G' :=
linear_isometry_equiv.of_bounds
{ to_fun := λ f, (multilinear_map.dom_dom_congr σ f.to_multilinear_map).mk_continuous ∥f∥ $
λ m, (f.le_op_norm (λ i, m (σ i))).trans_eq $ by rw [← σ.prod_comp],
inv_fun := λ f, (multilinear_map.dom_dom_congr σ.symm f.to_multilinear_map).mk_continuous ∥f∥ $
λ m, (f.le_op_norm (λ i, m (σ.symm i))).trans_eq $ by rw [← σ.symm.prod_comp],
left_inv := λ f, ext $ λ m, congr_arg f $ by simp only [σ.symm_apply_apply],
right_inv := λ f, ext $ λ m, congr_arg f $ by simp only [σ.apply_symm_apply],
map_add' := λ f g, rfl,
map_smul' := λ c f, rfl }
(λ f, multilinear_map.mk_continuous_norm_le _ (norm_nonneg f) _)
(λ f, multilinear_map.mk_continuous_norm_le _ (norm_nonneg f) _)
variables {𝕜 G G'}
section
variable [decidable_eq (ι ⊕ ι')]
/-- A continuous multilinear map with variables indexed by `ι ⊕ ι'` defines a continuous multilinear
map with variables indexed by `ι` taking values in the space of continuous multilinear maps with
variables indexed by `ι'`. -/
def curry_sum (f : continuous_multilinear_map 𝕜 (λ x : ι ⊕ ι', G) G') :
continuous_multilinear_map 𝕜 (λ x : ι, G) (continuous_multilinear_map 𝕜 (λ x : ι', G) G') :=
multilinear_map.mk_continuous_multilinear (multilinear_map.curry_sum f.to_multilinear_map) (∥f∥) $
λ m m', by simpa [fintype.prod_sum_type, mul_assoc] using f.le_op_norm (sum.elim m m')
@[simp] lemma curry_sum_apply (f : continuous_multilinear_map 𝕜 (λ x : ι ⊕ ι', G) G')
(m : ι → G) (m' : ι' → G) :
f.curry_sum m m' = f (sum.elim m m') :=
rfl
/-- A continuous multilinear map with variables indexed by `ι` taking values in the space of
continuous multilinear maps with variables indexed by `ι'` defines a continuous multilinear map with
variables indexed by `ι ⊕ ι'`. -/
def uncurry_sum
(f : continuous_multilinear_map 𝕜 (λ x : ι, G) (continuous_multilinear_map 𝕜 (λ x : ι', G) G')) :
continuous_multilinear_map 𝕜 (λ x : ι ⊕ ι', G) G' :=
multilinear_map.mk_continuous
(to_multilinear_map_linear.comp_multilinear_map f.to_multilinear_map).uncurry_sum (∥f∥) $ λ m,
by simpa [fintype.prod_sum_type, mul_assoc]
using (f (m ∘ sum.inl)).le_of_op_norm_le (m ∘ sum.inr) (f.le_op_norm _)
@[simp] lemma uncurry_sum_apply
(f : continuous_multilinear_map 𝕜 (λ x : ι, G) (continuous_multilinear_map 𝕜 (λ x : ι', G) G'))
(m : ι ⊕ ι' → G) :
f.uncurry_sum m = f (m ∘ sum.inl) (m ∘ sum.inr) :=
rfl
variables (𝕜 ι ι' G G')
/-- Linear isometric equivalence between the space of continuous multilinear maps with variables
indexed by `ι ⊕ ι'` and the space of continuous multilinear maps with variables indexed by `ι`
taking values in the space of continuous multilinear maps with variables indexed by `ι'`.
The forward and inverse functions are `continuous_multilinear_map.curry_sum`
and `continuous_multilinear_map.uncurry_sum`. Use this definition only if you need
some properties of `linear_isometry_equiv`. -/
def curry_sum_equiv : continuous_multilinear_map 𝕜 (λ x : ι ⊕ ι', G) G' ≃ₗᵢ[𝕜]
continuous_multilinear_map 𝕜 (λ x : ι, G) (continuous_multilinear_map 𝕜 (λ x : ι', G) G') :=
linear_isometry_equiv.of_bounds
{ to_fun := curry_sum,
inv_fun := uncurry_sum,
map_add' := λ f g, by { ext, refl },
map_smul' := λ c f, by { ext, refl },
left_inv := λ f, by { ext m, exact congr_arg f (sum.elim_comp_inl_inr m) },
right_inv := λ f, by { ext m₁ m₂, change f _ _ = f _ _,
rw [sum.elim_comp_inl, sum.elim_comp_inr] } }
(λ f, multilinear_map.mk_continuous_multilinear_norm_le _ (norm_nonneg f) _)
(λ f, multilinear_map.mk_continuous_norm_le _ (norm_nonneg f) _)
end
section
variables (𝕜 G G') {k l : ℕ} {s : finset (fin n)}
/-- If `s : finset (fin n)` is a finite set of cardinality `k` and its complement has cardinality
`l`, then the space of continuous multilinear maps `G [×n]→L[𝕜] G'` of `n` variables is isomorphic
to the space of continuous multilinear maps `G [×k]→L[𝕜] G [×l]→L[𝕜] G'` of `k` variables taking
values in the space of continuous multilinear maps of `l` variables. -/
def curry_fin_finset {k l n : ℕ} {s : finset (fin n)}
(hk : s.card = k) (hl : sᶜ.card = l) :
(G [×n]→L[𝕜] G') ≃ₗᵢ[𝕜] (G [×k]→L[𝕜] G [×l]→L[𝕜] G') :=
(dom_dom_congr 𝕜 G G' (fin_sum_equiv_of_finset hk hl).symm).trans
(curry_sum_equiv 𝕜 (fin k) (fin l) G G')
variables {𝕜 G G'}
@[simp] lemma curry_fin_finset_apply (hk : s.card = k) (hl : sᶜ.card = l)
(f : G [×n]→L[𝕜] G') (mk : fin k → G) (ml : fin l → G) :
curry_fin_finset 𝕜 G G' hk hl f mk ml =
f (λ i, sum.elim mk ml ((fin_sum_equiv_of_finset hk hl).symm i)) :=
rfl
@[simp] lemma curry_fin_finset_symm_apply (hk : s.card = k) (hl : sᶜ.card = l)
(f : G [×k]→L[𝕜] G [×l]→L[𝕜] G') (m : fin n → G) :
(curry_fin_finset 𝕜 G G' hk hl).symm f m =
f (λ i, m $ fin_sum_equiv_of_finset hk hl (sum.inl i))
(λ i, m $ fin_sum_equiv_of_finset hk hl (sum.inr i)) :=
rfl
@[simp] lemma curry_fin_finset_symm_apply_piecewise_const (hk : s.card = k) (hl : sᶜ.card = l)
(f : G [×k]→L[𝕜] G [×l]→L[𝕜] G') (x y : G) :
(curry_fin_finset 𝕜 G G' hk hl).symm f (s.piecewise (λ _, x) (λ _, y)) = f (λ _, x) (λ _, y) :=
multilinear_map.curry_fin_finset_symm_apply_piecewise_const hk hl _ x y
@[simp] lemma curry_fin_finset_symm_apply_const (hk : s.card = k) (hl : sᶜ.card = l)
(f : G [×k]→L[𝕜] G [×l]→L[𝕜] G') (x : G) :
(curry_fin_finset 𝕜 G G' hk hl).symm f (λ _, x) = f (λ _, x) (λ _, x) :=
rfl
@[simp] lemma curry_fin_finset_apply_const (hk : s.card = k) (hl : sᶜ.card = l)
(f : G [×n]→L[𝕜] G') (x y : G) :
curry_fin_finset 𝕜 G G' hk hl f (λ _, x) (λ _, y) = f (s.piecewise (λ _, x) (λ _, y)) :=
begin
refine (curry_fin_finset_symm_apply_piecewise_const hk hl _ _ _).symm.trans _, -- `rw` fails
rw linear_isometry_equiv.symm_apply_apply
end
end
end continuous_multilinear_map
end currying
|
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"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 | 21,834 | hlean | /-
Copyright (c) 2014 Robert Lewis. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Robert Lewis
Structures with multiplicative and additive components, including division rings and fields.
The development is modeled after Isabelle's library.
-/
import algebra.binary algebra.group algebra.ring
open eq eq.ops algebra
set_option class.force_new true
variable {A : Type}
namespace algebra
structure division_ring [class] (A : Type) extends ring A, has_inv A, zero_ne_one_class A :=
(mul_inv_cancel : Π{a}, a ≠ zero → mul a (inv a) = one)
(inv_mul_cancel : Π{a}, a ≠ zero → mul (inv a) a = one)
section division_ring
variables [s : division_ring A] {a b c : A}
include s
protected definition algebra.div (a b : A) : A := a * b⁻¹
definition division_ring_has_div [instance] : has_div A :=
has_div.mk algebra.div
lemma division.def (a b : A) : a / b = a * b⁻¹ :=
rfl
theorem mul_inv_cancel (H : a ≠ 0) : a * a⁻¹ = 1 :=
division_ring.mul_inv_cancel H
theorem inv_mul_cancel (H : a ≠ 0) : a⁻¹ * a = 1 :=
division_ring.inv_mul_cancel H
theorem inv_eq_one_div (a : A) : a⁻¹ = 1 / a := !one_mul⁻¹
theorem div_eq_mul_one_div (a b : A) : a / b = a * (1 / b) :=
by rewrite [*division.def, one_mul]
theorem mul_one_div_cancel (H : a ≠ 0) : a * (1 / a) = 1 :=
by rewrite [-inv_eq_one_div, (mul_inv_cancel H)]
theorem one_div_mul_cancel (H : a ≠ 0) : (1 / a) * a = 1 :=
by rewrite [-inv_eq_one_div, (inv_mul_cancel H)]
theorem div_self (H : a ≠ 0) : a / a = 1 := mul_inv_cancel H
theorem one_div_one : 1 / 1 = (1:A) := div_self (ne.symm zero_ne_one)
theorem mul_div_assoc (a b : A) : (a * b) / c = a * (b / c) := !mul.assoc
theorem one_div_ne_zero (H : a ≠ 0) : 1 / a ≠ 0 :=
assume H2 : 1 / a = 0,
have C1 : 0 = (1:A), from symm (by rewrite [-(mul_one_div_cancel H), H2, mul_zero]),
absurd C1 zero_ne_one
theorem one_inv_eq : 1⁻¹ = (1:A) :=
by rewrite [-mul_one ((1:A)⁻¹), inv_mul_cancel (ne.symm (@zero_ne_one A _))]
theorem div_one (a : A) : a / 1 = a :=
by rewrite [*division.def, one_inv_eq, mul_one]
theorem zero_div (a : A) : 0 / a = 0 := !zero_mul
-- note: integral domain has a "mul_ne_zero". A commutative division ring is an integral
-- domain, but let's not define that class for now.
theorem division_ring.mul_ne_zero (Ha : a ≠ 0) (Hb : b ≠ 0) : a * b ≠ 0 :=
assume H : a * b = 0,
have C1 : a = 0, by rewrite [-(mul_one a), -(mul_one_div_cancel Hb), -mul.assoc, H, zero_mul],
absurd C1 Ha
theorem mul_ne_zero_comm (H : a * b ≠ 0) : b * a ≠ 0 :=
have H2 : a ≠ 0 × b ≠ 0, from ne_zero_prod_ne_zero_of_mul_ne_zero H,
division_ring.mul_ne_zero (prod.pr2 H2) (prod.pr1 H2)
theorem eq_one_div_of_mul_eq_one (H : a * b = 1) : b = 1 / a :=
have a ≠ 0, from
(suppose a = 0,
have 0 = (1:A), by rewrite [-(zero_mul b), -this, H],
absurd this zero_ne_one),
show b = 1 / a, from symm (calc
1 / a = (1 / a) * 1 : mul_one
... = (1 / a) * (a * b) : H
... = (1 / a) * a * b : mul.assoc
... = 1 * b : one_div_mul_cancel this
... = b : one_mul)
theorem eq_one_div_of_mul_eq_one_left (H : b * a = 1) : b = 1 / a :=
have a ≠ 0, from
(suppose a = 0,
have 0 = 1, from symm (calc
1 = b * a : symm H
... = b * 0 : this
... = 0 : mul_zero),
absurd this zero_ne_one),
show b = 1 / a, from symm (calc
1 / a = 1 * (1 / a) : one_mul
... = b * a * (1 / a) : H
... = b * (a * (1 / a)) : mul.assoc
... = b * 1 : mul_one_div_cancel this
... = b : mul_one)
theorem division_ring.one_div_mul_one_div (Ha : a ≠ 0) (Hb : b ≠ 0) :
(1 / a) * (1 / b) = 1 / (b * a) :=
have (b * a) * ((1 / a) * (1 / b)) = 1, by
rewrite [mul.assoc, -(mul.assoc a), (mul_one_div_cancel Ha), one_mul,
(mul_one_div_cancel Hb)],
eq_one_div_of_mul_eq_one this
theorem one_div_neg_one_eq_neg_one : (1:A) / (-1) = -1 :=
have (-1) * (-1) = (1:A), by rewrite [-neg_eq_neg_one_mul, neg_neg],
symm (eq_one_div_of_mul_eq_one this)
theorem division_ring.one_div_neg_eq_neg_one_div (H : a ≠ 0) : 1 / (- a) = - (1 / a) :=
have -1 ≠ (0:A), from
(suppose -1 = 0, absurd (symm (calc
1 = -(-1) : neg_neg
... = -0 : this
... = (0:A) : neg_zero)) zero_ne_one),
calc
1 / (- a) = 1 / ((-1) * a) : neg_eq_neg_one_mul
... = (1 / a) * (1 / (- 1)) : division_ring.one_div_mul_one_div H this
... = (1 / a) * (-1) : one_div_neg_one_eq_neg_one
... = - (1 / a) : mul_neg_one_eq_neg
theorem div_neg_eq_neg_div (b : A) (Ha : a ≠ 0) : b / (- a) = - (b / a) :=
calc
b / (- a) = b * (1 / (- a)) : by rewrite -inv_eq_one_div
... = b * -(1 / a) : division_ring.one_div_neg_eq_neg_one_div Ha
... = -(b * (1 / a)) : neg_mul_eq_mul_neg
... = - (b * a⁻¹) : inv_eq_one_div
theorem neg_div (a b : A) : (-b) / a = - (b / a) :=
by rewrite [neg_eq_neg_one_mul, mul_div_assoc, -neg_eq_neg_one_mul]
theorem division_ring.neg_div_neg_eq (a : A) {b : A} (Hb : b ≠ 0) : (-a) / (-b) = a / b :=
by rewrite [(div_neg_eq_neg_div _ Hb), neg_div, neg_neg]
theorem division_ring.one_div_one_div (H : a ≠ 0) : 1 / (1 / a) = a :=
symm (eq_one_div_of_mul_eq_one_left (mul_one_div_cancel H))
theorem division_ring.eq_of_one_div_eq_one_div (Ha : a ≠ 0) (Hb : b ≠ 0) (H : 1 / a = 1 / b) :
a = b :=
by rewrite [-(division_ring.one_div_one_div Ha), H, (division_ring.one_div_one_div Hb)]
theorem mul_inv_eq (Ha : a ≠ 0) (Hb : b ≠ 0) : (b * a)⁻¹ = a⁻¹ * b⁻¹ :=
inverse (calc
a⁻¹ * b⁻¹ = (1 / a) * b⁻¹ : inv_eq_one_div
... = (1 / a) * (1 / b) : inv_eq_one_div
... = (1 / (b * a)) : division_ring.one_div_mul_one_div Ha Hb
... = (b * a)⁻¹ : inv_eq_one_div)
theorem mul_div_cancel (a : A) {b : A} (Hb : b ≠ 0) : a * b / b = a :=
by rewrite [*division.def, mul.assoc, (mul_inv_cancel Hb), mul_one]
theorem div_mul_cancel (a : A) {b : A} (Hb : b ≠ 0) : a / b * b = a :=
by rewrite [*division.def, mul.assoc, (inv_mul_cancel Hb), mul_one]
theorem div_add_div_same (a b c : A) : a / c + b / c = (a + b) / c := !right_distrib⁻¹
theorem div_sub_div_same (a b c : A) : (a / c) - (b / c) = (a - b) / c :=
by rewrite [sub_eq_add_neg, -neg_div, div_add_div_same]
theorem one_div_mul_add_mul_one_div_eq_one_div_add_one_div (Ha : a ≠ 0) (Hb : b ≠ 0) :
(1 / a) * (a + b) * (1 / b) = 1 / a + 1 / b :=
by rewrite [(left_distrib (1 / a)), (one_div_mul_cancel Ha), right_distrib, one_mul,
mul.assoc, (mul_one_div_cancel Hb), mul_one, add.comm]
theorem one_div_mul_sub_mul_one_div_eq_one_div_add_one_div (Ha : a ≠ 0) (Hb : b ≠ 0) :
(1 / a) * (b - a) * (1 / b) = 1 / a - 1 / b :=
by rewrite [(mul_sub_left_distrib (1 / a)), (one_div_mul_cancel Ha), mul_sub_right_distrib,
one_mul, mul.assoc, (mul_one_div_cancel Hb), mul_one]
theorem div_eq_one_iff_eq (a : A) {b : A} (Hb : b ≠ 0) : a / b = 1 ↔ a = b :=
iff.intro
(suppose a / b = 1, symm (calc
b = 1 * b : one_mul
... = a / b * b : this
... = a : div_mul_cancel _ Hb))
(suppose a = b, calc
a / b = b / b : this
... = 1 : div_self Hb)
theorem eq_of_div_eq_one (a : A) {b : A} (Hb : b ≠ 0) : a / b = 1 → a = b :=
iff.mp (!div_eq_one_iff_eq Hb)
theorem eq_div_iff_mul_eq (a : A) {b : A} (Hc : c ≠ 0) : a = b / c ↔ a * c = b :=
iff.intro
(suppose a = b / c, by rewrite [this, (!div_mul_cancel Hc)])
(suppose a * c = b, begin rewrite [-mul_div_cancel a Hc, this] end)
theorem eq_div_of_mul_eq (a b : A) {c : A} (Hc : c ≠ 0) : a * c = b → a = b / c :=
iff.mpr (!eq_div_iff_mul_eq Hc)
theorem mul_eq_of_eq_div (a b: A) {c : A} (Hc : c ≠ 0) : a = b / c → a * c = b :=
iff.mp (!eq_div_iff_mul_eq Hc)
theorem add_div_eq_mul_add_div (a b : A) {c : A} (Hc : c ≠ 0) : a + b / c = (a * c + b) / c :=
have (a + b / c) * c = a * c + b, by rewrite [right_distrib, (!div_mul_cancel Hc)],
(iff.elim_right (!eq_div_iff_mul_eq Hc)) this
theorem mul_mul_div (a : A) {c : A} (Hc : c ≠ 0) : a = a * c * (1 / c) :=
calc
a = a * 1 : mul_one
... = a * (c * (1 / c)) : mul_one_div_cancel Hc
... = a * c * (1 / c) : mul.assoc
-- There are many similar rules to these last two in the Isabelle library
-- that haven't been ported yet. Do as necessary.
end division_ring
structure field [class] (A : Type) extends division_ring A, comm_ring A
section field
variables [s : field A] {a b c d: A}
include s
theorem field.one_div_mul_one_div (Ha : a ≠ 0) (Hb : b ≠ 0) : (1 / a) * (1 / b) = 1 / (a * b) :=
by rewrite [(division_ring.one_div_mul_one_div Ha Hb), mul.comm b]
theorem field.div_mul_right (Hb : b ≠ 0) (H : a * b ≠ 0) : a / (a * b) = 1 / b :=
have a ≠ 0, from prod.pr1 (ne_zero_prod_ne_zero_of_mul_ne_zero H),
symm (calc
1 / b = 1 * (1 / b) : one_mul
... = (a * a⁻¹) * (1 / b) : mul_inv_cancel this
... = a * (a⁻¹ * (1 / b)) : mul.assoc
... = a * ((1 / a) * (1 / b)) : inv_eq_one_div
... = a * (1 / (b * a)) : division_ring.one_div_mul_one_div this Hb
... = a * (1 / (a * b)) : mul.comm
... = a * (a * b)⁻¹ : inv_eq_one_div)
theorem field.div_mul_left (Ha : a ≠ 0) (H : a * b ≠ 0) : b / (a * b) = 1 / a :=
let H1 : b * a ≠ 0 := mul_ne_zero_comm H in
by rewrite [mul.comm a, (field.div_mul_right Ha H1)]
theorem mul_div_cancel_left (Ha : a ≠ 0) : a * b / a = b :=
by rewrite [mul.comm a, (!mul_div_cancel Ha)]
theorem mul_div_cancel' (Hb : b ≠ 0) : b * (a / b) = a :=
by rewrite [mul.comm, (!div_mul_cancel Hb)]
theorem one_div_add_one_div (Ha : a ≠ 0) (Hb : b ≠ 0) : 1 / a + 1 / b = (a + b) / (a * b) :=
have a * b ≠ 0, from (division_ring.mul_ne_zero Ha Hb),
by rewrite [add.comm, -(field.div_mul_left Ha this), -(field.div_mul_right Hb this), *division.def,
-right_distrib]
theorem field.div_mul_div (a : A) {b : A} (c : A) {d : A} (Hb : b ≠ 0) (Hd : d ≠ 0) :
(a / b) * (c / d) = (a * c) / (b * d) :=
by rewrite [*division.def, 2 mul.assoc, (mul.comm b⁻¹), mul.assoc, (mul_inv_eq Hd Hb)]
theorem mul_div_mul_left (a : A) {b c : A} (Hb : b ≠ 0) (Hc : c ≠ 0) :
(c * a) / (c * b) = a / b :=
by rewrite [-(!field.div_mul_div Hc Hb), (div_self Hc), one_mul]
theorem mul_div_mul_right (a : A) {b c : A} (Hb : b ≠ 0) (Hc : c ≠ 0) :
(a * c) / (b * c) = a / b :=
by rewrite [(mul.comm a), (mul.comm b), (!mul_div_mul_left Hb Hc)]
theorem div_mul_eq_mul_div (a b c : A) : (b / c) * a = (b * a) / c :=
by rewrite [*division.def, mul.assoc, (mul.comm c⁻¹), -mul.assoc]
theorem field.div_mul_eq_mul_div_comm (a b : A) {c : A} (Hc : c ≠ 0) :
(b / c) * a = b * (a / c) :=
by rewrite [(div_mul_eq_mul_div), -(one_mul c), -(!field.div_mul_div (ne.symm zero_ne_one) Hc),
div_one, one_mul]
theorem div_add_div (a : A) {b : A} (c : A) {d : A} (Hb : b ≠ 0) (Hd : d ≠ 0) :
(a / b) + (c / d) = ((a * d) + (b * c)) / (b * d) :=
by rewrite [-(!mul_div_mul_right Hb Hd), -(!mul_div_mul_left Hd Hb), div_add_div_same]
theorem div_sub_div (a : A) {b : A} (c : A) {d : A} (Hb : b ≠ 0) (Hd : d ≠ 0) :
(a / b) - (c / d) = ((a * d) - (b * c)) / (b * d) :=
by rewrite [*sub_eq_add_neg, neg_eq_neg_one_mul, -mul_div_assoc, (!div_add_div Hb Hd),
-mul.assoc, (mul.comm b), mul.assoc, -neg_eq_neg_one_mul]
theorem mul_eq_mul_of_div_eq_div (a : A) {b : A} (c : A) {d : A} (Hb : b ≠ 0)
(Hd : d ≠ 0) (H : a / b = c / d) : a * d = c * b :=
by rewrite [-mul_one (a*d), mul.assoc, (mul.comm d), -mul.assoc, -(div_self Hb),
-(!field.div_mul_eq_mul_div_comm Hb), H, (div_mul_eq_mul_div), (!div_mul_cancel Hd)]
theorem field.one_div_div (Ha : a ≠ 0) (Hb : b ≠ 0) : 1 / (a / b) = b / a :=
have (a / b) * (b / a) = 1, from calc
(a / b) * (b / a) = (a * b) / (b * a) : !field.div_mul_div Hb Ha
... = (a * b) / (a * b) : mul.comm
... = 1 : div_self (division_ring.mul_ne_zero Ha Hb),
symm (eq_one_div_of_mul_eq_one this)
theorem field.div_div_eq_mul_div (a : A) {b c : A} (Hb : b ≠ 0) (Hc : c ≠ 0) :
a / (b / c) = (a * c) / b :=
by rewrite [div_eq_mul_one_div, (field.one_div_div Hb Hc), -mul_div_assoc]
theorem field.div_div_eq_div_mul (a : A) {b c : A} (Hb : b ≠ 0) (Hc : c ≠ 0) :
(a / b) / c = a / (b * c) :=
by rewrite [div_eq_mul_one_div, (!field.div_mul_div Hb Hc), mul_one]
theorem field.div_div_div_div_eq (a : A) {b c d : A} (Hb : b ≠ 0) (Hc : c ≠ 0) (Hd : d ≠ 0) :
(a / b) / (c / d) = (a * d) / (b * c) :=
by rewrite [(!field.div_div_eq_mul_div Hc Hd), (div_mul_eq_mul_div),
(!field.div_div_eq_div_mul Hb Hc)]
theorem field.div_mul_eq_div_mul_one_div (a : A) {b c : A} (Hb : b ≠ 0) (Hc : c ≠ 0) :
a / (b * c) = (a / b) * (1 / c) :=
by rewrite [-!field.div_div_eq_div_mul Hb Hc, -div_eq_mul_one_div]
theorem eq_of_mul_eq_mul_of_nonzero_left {a b c : A} (H : a ≠ 0) (H2 : a * b = a * c) : b = c :=
by rewrite [-one_mul b, -div_self H, div_mul_eq_mul_div, H2, mul_div_cancel_left H]
theorem eq_of_mul_eq_mul_of_nonzero_right {a b c : A} (H : c ≠ 0) (H2 : a * c = b * c) : a = b :=
by rewrite [-mul_one a, -div_self H, -mul_div_assoc, H2, mul_div_cancel _ H]
end field
structure discrete_field [class] (A : Type) extends field A :=
(has_decidable_eq : decidable_eq A)
(inv_zero : inv zero = zero)
attribute discrete_field.has_decidable_eq [instance]
section discrete_field
variable [s : discrete_field A]
include s
variables {a b c d : A}
-- many of the theorems in discrete_field are the same as theorems in field sum division ring,
-- but with fewer hypotheses since 0⁻¹ = 0 and equality is decidable.
theorem discrete_field.eq_zero_sum_eq_zero_of_mul_eq_zero
(x y : A) (H : x * y = 0) : x = 0 ⊎ y = 0 :=
decidable.by_cases
(suppose x = 0, sum.inl this)
(suppose x ≠ 0,
sum.inr (by rewrite [-one_mul y, -(inv_mul_cancel this), mul.assoc, H, mul_zero]))
definition discrete_field.to_integral_domain [trans_instance] : integral_domain A :=
⦃ integral_domain, s,
eq_zero_sum_eq_zero_of_mul_eq_zero := discrete_field.eq_zero_sum_eq_zero_of_mul_eq_zero⦄
theorem inv_zero : 0⁻¹ = (0:A) := !discrete_field.inv_zero
theorem one_div_zero : 1 / 0 = (0:A) :=
calc
1 / 0 = 1 * 0⁻¹ : refl
... = 1 * 0 : inv_zero
... = 0 : mul_zero
theorem div_zero (a : A) : a / 0 = 0 := by rewrite [div_eq_mul_one_div, one_div_zero, mul_zero]
theorem ne_zero_of_one_div_ne_zero (H : 1 / a ≠ 0) : a ≠ 0 :=
assume Ha : a = 0, absurd (Ha⁻¹ ▸ one_div_zero) H
theorem eq_zero_of_one_div_eq_zero (H : 1 / a = 0) : a = 0 :=
decidable.by_cases
(assume Ha, Ha)
(assume Ha, empty.elim ((one_div_ne_zero Ha) H))
variables (a b)
theorem one_div_mul_one_div' : (1 / a) * (1 / b) = 1 / (b * a) :=
decidable.by_cases
(suppose a = 0,
by rewrite [this, div_zero, zero_mul, -(@div_zero A s 1), mul_zero b])
(assume Ha : a ≠ 0,
decidable.by_cases
(suppose b = 0,
by rewrite [this, div_zero, mul_zero, -(@div_zero A s 1), zero_mul a])
(suppose b ≠ 0, division_ring.one_div_mul_one_div Ha this))
theorem one_div_neg_eq_neg_one_div : 1 / (- a) = - (1 / a) :=
decidable.by_cases
(suppose a = 0, by rewrite [this, neg_zero, 2 div_zero, neg_zero])
(suppose a ≠ 0, division_ring.one_div_neg_eq_neg_one_div this)
theorem neg_div_neg_eq : (-a) / (-b) = a / b :=
decidable.by_cases
(assume Hb : b = 0, by rewrite [Hb, neg_zero, 2 div_zero])
(assume Hb : b ≠ 0, !division_ring.neg_div_neg_eq Hb)
theorem one_div_one_div : 1 / (1 / a) = a :=
decidable.by_cases
(assume Ha : a = 0, by rewrite [Ha, 2 div_zero])
(assume Ha : a ≠ 0, division_ring.one_div_one_div Ha)
variables {a b}
theorem eq_of_one_div_eq_one_div (H : 1 / a = 1 / b) : a = b :=
decidable.by_cases
(assume Ha : a = 0,
have Hb : b = 0, from eq_zero_of_one_div_eq_zero (by rewrite [-H, Ha, div_zero]),
Hb⁻¹ ▸ Ha)
(assume Ha : a ≠ 0,
have Hb : b ≠ 0, from ne_zero_of_one_div_ne_zero (H ▸ (one_div_ne_zero Ha)),
division_ring.eq_of_one_div_eq_one_div Ha Hb H)
variables (a b)
theorem mul_inv' : (b * a)⁻¹ = a⁻¹ * b⁻¹ :=
decidable.by_cases
(assume Ha : a = 0, by rewrite [Ha, mul_zero, 2 inv_zero, zero_mul])
(assume Ha : a ≠ 0,
decidable.by_cases
(assume Hb : b = 0, by rewrite [Hb, zero_mul, 2 inv_zero, mul_zero])
(assume Hb : b ≠ 0, mul_inv_eq Ha Hb))
-- the following are specifically for fields
theorem one_div_mul_one_div : (1 / a) * (1 / b) = 1 / (a * b) :=
by rewrite [one_div_mul_one_div', mul.comm b]
variable {a}
theorem div_mul_right (Ha : a ≠ 0) : a / (a * b) = 1 / b :=
decidable.by_cases
(assume Hb : b = 0, by rewrite [Hb, mul_zero, 2 div_zero])
(assume Hb : b ≠ 0, field.div_mul_right Hb (mul_ne_zero Ha Hb))
variables (a) {b}
theorem div_mul_left (Hb : b ≠ 0) : b / (a * b) = 1 / a :=
by rewrite [mul.comm a, div_mul_right _ Hb]
variables (a b c)
theorem div_mul_div : (a / b) * (c / d) = (a * c) / (b * d) :=
decidable.by_cases
(assume Hb : b = 0, by rewrite [Hb, div_zero, zero_mul, -(@div_zero A s (a * c)), zero_mul])
(assume Hb : b ≠ 0,
decidable.by_cases
(assume Hd : d = 0, by rewrite [Hd, div_zero, mul_zero, -(@div_zero A s (a * c)),
mul_zero])
(assume Hd : d ≠ 0, !field.div_mul_div Hb Hd))
variable {c}
theorem mul_div_mul_left' (Hc : c ≠ 0) : (c * a) / (c * b) = a / b :=
decidable.by_cases
(assume Hb : b = 0, by rewrite [Hb, mul_zero, 2 div_zero])
(assume Hb : b ≠ 0, !mul_div_mul_left Hb Hc)
theorem mul_div_mul_right' (Hc : c ≠ 0) : (a * c) / (b * c) = a / b :=
by rewrite [(mul.comm a), (mul.comm b), (!mul_div_mul_left' Hc)]
variables (a b c d)
theorem div_mul_eq_mul_div_comm : (b / c) * a = b * (a / c) :=
decidable.by_cases
(assume Hc : c = 0, by rewrite [Hc, div_zero, zero_mul, -(mul_zero b), -(@div_zero A s a)])
(assume Hc : c ≠ 0, !field.div_mul_eq_mul_div_comm Hc)
theorem one_div_div : 1 / (a / b) = b / a :=
decidable.by_cases
(assume Ha : a = 0, by rewrite [Ha, zero_div, 2 div_zero])
(assume Ha : a ≠ 0,
decidable.by_cases
(assume Hb : b = 0, by rewrite [Hb, 2 div_zero, zero_div])
(assume Hb : b ≠ 0, field.one_div_div Ha Hb))
theorem div_div_eq_mul_div : a / (b / c) = (a * c) / b :=
by rewrite [div_eq_mul_one_div, one_div_div, -mul_div_assoc]
theorem div_div_eq_div_mul : (a / b) / c = a / (b * c) :=
by rewrite [div_eq_mul_one_div, div_mul_div, mul_one]
theorem div_div_div_div_eq : (a / b) / (c / d) = (a * d) / (b * c) :=
by rewrite [div_div_eq_mul_div, div_mul_eq_mul_div, div_div_eq_div_mul]
variable {a}
theorem div_helper (H : a ≠ 0) : (1 / (a * b)) * a = 1 / b :=
by rewrite [div_mul_eq_mul_div, one_mul, !div_mul_right H]
variable (a)
theorem div_mul_eq_div_mul_one_div : a / (b * c) = (a / b) * (1 / c) :=
by rewrite [-div_div_eq_div_mul, -div_eq_mul_one_div]
end discrete_field
namespace norm_num
theorem div_add_helper [s : field A] (n d b c val : A) (Hd : d ≠ 0) (H : n + b * d = val)
(H2 : c * d = val) : n / d + b = c :=
begin
apply eq_of_mul_eq_mul_of_nonzero_right Hd,
rewrite [H2, -H, right_distrib, div_mul_cancel _ Hd]
end
theorem add_div_helper [s : field A] (n d b c val : A) (Hd : d ≠ 0) (H : d * b + n = val)
(H2 : d * c = val) : b + n / d = c :=
begin
apply eq_of_mul_eq_mul_of_nonzero_left Hd,
rewrite [H2, -H, left_distrib, mul_div_cancel' Hd]
end
theorem div_mul_helper [s : field A] (n d c v : A) (Hd : d ≠ 0) (H : (n * c) / d = v) :
(n / d) * c = v :=
by rewrite [-H, field.div_mul_eq_mul_div_comm _ _ Hd, mul_div_assoc]
theorem mul_div_helper [s : field A] (a n d v : A) (Hd : d ≠ 0) (H : (a * n) / d = v) :
a * (n / d) = v :=
by rewrite [-H, mul_div_assoc]
theorem nonzero_of_div_helper [s : field A] (a b : A) (Ha : a ≠ 0) (Hb : b ≠ 0) : a / b ≠ 0 :=
begin
intro Hab,
have Habb : (a / b) * b = 0, by rewrite [Hab, zero_mul],
rewrite [div_mul_cancel _ Hb at Habb],
exact Ha Habb
end
theorem div_helper [s : field A] (n d v : A) (Hd : d ≠ 0) (H : v * d = n) : n / d = v :=
begin
apply eq_of_mul_eq_mul_of_nonzero_right Hd,
rewrite (div_mul_cancel _ Hd),
exact inverse H
end
theorem div_eq_div_helper [s : field A] (a b c d v : A) (H1 : a * d = v) (H2 : c * b = v)
(Hb : b ≠ 0) (Hd : d ≠ 0) : a / b = c / d :=
begin
apply eq_div_of_mul_eq,
exact Hd,
rewrite div_mul_eq_mul_div,
apply inverse,
apply eq_div_of_mul_eq,
exact Hb,
rewrite [H1, H2]
end
theorem subst_into_div [s : has_div A] (a₁ b₁ a₂ b₂ v : A) (H : a₁ / b₁ = v) (H1 : a₂ = a₁)
(H2 : b₂ = b₁) : a₂ / b₂ = v :=
by rewrite [H1, H2, H]
end norm_num
end algebra
|
9987ed9fc2bc712bc75166cbbd99188855a0fdab | b7f22e51856f4989b970961f794f1c435f9b8f78 | /tests/lean/run/blast_equiv_tests.lean | dbee78fa82d55a6f9df9a4fd4f0d790b07251b27 | [
"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 | 1,640 | lean | import data.sum data.nat
open function
structure equiv [class] (A B : Type) :=
(to_fun : A → B)
(inv_fun : B → A)
(left_inv : left_inverse inv_fun to_fun)
(right_inv : right_inverse inv_fun to_fun)
namespace equiv
infix ` ≃ `:50 := equiv
protected definition refl [refl] (A : Type) : A ≃ A :=
mk (@id A) (@id A) (λ x, rfl) (λ x, rfl)
protected definition symm [symm] {A B : Type} : A ≃ B → B ≃ A
| (mk f g h₁ h₂) := mk g f h₂ h₁
protected definition trans [trans] {A B C : Type} : A ≃ B → B ≃ C → A ≃ C
| (mk f₁ g₁ l₁ r₁) (mk f₂ g₂ l₂ r₂) :=
mk (f₂ ∘ f₁) (g₁ ∘ g₂)
(show ∀ x, g₁ (g₂ (f₂ (f₁ x))) = x, by intros; rewrite [l₂, l₁]; reflexivity)
(show ∀ x, f₂ (f₁ (g₁ (g₂ x))) = x, by intros; rewrite [r₁, r₂]; reflexivity)
definition arrow_congr₁ {A₁ A₂ B₁ B₂ : Type} : A₁ ≃ A₂ → B₁ ≃ B₂ → (A₁ → B₁) ≃ (A₂ → B₂)
| (mk f₁ g₁ l₁ r₁) (mk f₂ g₂ l₂ r₂) :=
mk
(λ (h : A₁ → B₁) (a : A₂), f₂ (h (g₁ a)))
(λ (h : A₂ → B₂) (a : A₁), g₂ (h (f₁ a)))
(λ h, funext (λ a, begin rewrite [l₁, l₂], reflexivity end))
(begin unfold [left_inverse, right_inverse] at *, intros, apply funext, intros, simp end)
local attribute left_inverse right_inverse [reducible]
definition arrow_congr₂ {A₁ A₂ B₁ B₂ : Type} : A₁ ≃ A₂ → B₁ ≃ B₂ → (A₁ → B₁) ≃ (A₂ → B₂)
| (mk f₁ g₁ l₁ r₁) (mk f₂ g₂ l₂ r₂) :=
mk (λ h a, f₂ (h (g₁ a))) (λ h a, g₂ (h (f₁ a))) (by simp) (by simp)
end equiv
|
e32ad07750be5d709a628a8a520298acf282686b | 22e97a5d648fc451e25a06c668dc03ac7ed7bc25 | /src/algebra/commute.lean | 2ca77bb4644d2d5191f7715904af332428e58c94 | [
"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 | 14,984 | lean | /-
Copyright (c) 2019 Neil Strickland. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Neil Strickland, Yury Kudryashov
-/
import algebra.semiconj
import ring_theory.subring
/-!
# Commuting pairs of elements in monoids
## Main definitions
* `commute a b` : `a * b = b * a`
* `centralizer a` : `{ x | commute a x }`
* `set.centralizer s` : elements that commute with all `a ∈ s`
We prove that `centralizer` and `set_centralilzer` are submonoid/subgroups/subrings depending on the available structures, and provide operations on `commute _ _`.
E.g., if `a`, `b`, and c are elements of a semiring, and that `hb :
commute a b` and `hc : commute a c`. Then `hb.pow_left 5` proves
`commute (a ^ 5) b` and `(hb.pow_right 2).add_right (hb.mul_right hc)`
proves `commute a (b ^ 2 + b * c)`.
Lean does not immediately recognise these terms as equations,
so for rewriting we need syntax like `rw [(hb.pow_left 5).eq]`
rather than just `rw [hb.pow_left 5]`.
## Implementation details
Most of the proofs come from the properties of `semiconj_by`.
-/
/-- Two elements commute iff `a * b = b * a`. -/
def commute {S : Type*} [has_mul S] (a b : S) : Prop := semiconj_by a b b
open_locale smul
namespace commute
section has_mul
variables {S : Type*} [has_mul S]
/-- Equality behind `commute a b`; useful for rewriting. -/
protected theorem eq {a b : S} (h : commute a b) : a * b = b * a := h
/-- Any element commutes with itself. -/
@[refl, simp] protected theorem refl (a : S) : commute a a := eq.refl (a * a)
/-- If `a` commutes with `b`, then `b` commutes with `a`. -/
@[symm] protected theorem symm {a b : S} (h : commute a b) : commute b a :=
eq.symm h
protected theorem symm_iff {a b : S} : commute a b ↔ commute b a :=
⟨commute.symm, commute.symm⟩
end has_mul
section semigroup
variables {S : Type*} [semigroup S] {a b c : S}
/-- If `a` commutes with both `b` and `c`, then it commutes with their product. -/
@[simp] theorem mul_right (hab : commute a b) (hac : commute a c) :
commute a (b * c) :=
hab.mul_right hac
/-- If both `a` and `b` commute with `c`, then their product commutes with `c`. -/
@[simp] theorem mul_left (hac : commute a c) (hbc : commute b c) :
commute (a * b) c :=
hac.mul_left hbc
end semigroup
protected theorem all {S : Type*} [comm_semigroup S] (a b : S) : commute a b := mul_comm a b
section monoid
variables {M : Type*} [monoid M]
@[simp] theorem one_right (a : M) : commute a 1 := semiconj_by.one_right a
@[simp] theorem one_left (a : M) : commute 1 a := semiconj_by.one_left a
theorem units_inv_right {a : M} {u : units M} : commute a u → commute a ↑u⁻¹ :=
semiconj_by.units_inv_right
@[simp] theorem units_inv_right_iff {a : M} {u : units M} : commute a ↑u⁻¹ ↔ commute a u :=
semiconj_by.units_inv_right_iff
theorem units_inv_left {u : units M} {a : M} : commute ↑u a → commute ↑u⁻¹ a :=
semiconj_by.units_inv_symm_left
@[simp] theorem units_inv_left_iff {u : units M} {a : M}: commute ↑u⁻¹ a ↔ commute ↑u a :=
semiconj_by.units_inv_symm_left_iff
@[simp] protected theorem map {N : Type*} [monoid N] (f : M →* N) {a b : M} :
commute a b → commute (f a) (f b) :=
semiconj_by.map f
variables {a b : M} (hab : commute a b) (m n : ℕ)
@[simp] theorem pow_right : commute a (b ^ n) := hab.pow_right n
@[simp] theorem pow_left : commute (a ^ n) b := (hab.symm.pow_right n).symm
@[simp] theorem pow_pow : commute (a ^ m) (b ^ n) := (hab.pow_left m).pow_right n
variable (a)
@[simp] theorem self_pow : commute a (a ^ n) := (commute.refl a).pow_right n
@[simp] theorem pow_self : commute (a ^ n) a := (commute.refl a).pow_left n
@[simp] theorem pow_pow_self : commute (a ^ n) (a ^ m) := (commute.refl a).pow_pow n m
variables {u₁ u₂ : units M}
theorem units_coe : commute u₁ u₂ → commute (u₁ : M) u₂ := semiconj_by.units_coe
theorem units_of_coe : commute (u₁ : M) u₂ → commute u₁ u₂ := semiconj_by.units_of_coe
@[simp] theorem units_coe_iff : commute (u₁ : M) u₂ ↔ commute u₁ u₂ := semiconj_by.units_coe_iff
end monoid
section group
variables {G : Type*} [group G] {a b : G}
theorem inv_right : commute a b → commute a b⁻¹ := semiconj_by.inv_right
@[simp] theorem inv_right_iff : commute a b⁻¹ ↔ commute a b := semiconj_by.inv_right_iff
theorem inv_left : commute a b → commute a⁻¹ b := semiconj_by.inv_symm_left
@[simp] theorem inv_left_iff : commute a⁻¹ b ↔ commute a b := semiconj_by.inv_symm_left_iff
theorem inv_inv : commute a b → commute a⁻¹ b⁻¹ := semiconj_by.inv_inv_symm
@[simp] theorem inv_inv_iff : commute a⁻¹ b⁻¹ ↔ commute a b := semiconj_by.inv_inv_symm_iff
section
variables (hab : commute a b) (m n : ℤ)
include hab
@[simp] theorem gpow_right : commute a (b ^ m) := hab.gpow_right m
@[simp] theorem gpow_left : commute (a ^ m) b := (hab.symm.gpow_right m).symm
@[simp] theorem gpow_gpow : commute (a ^ m) (b ^ n) := (hab.gpow_right n).gpow_left m
end
variables (a) (m n : ℤ)
@[simp] theorem self_gpow : commute a (a ^ n) := (commute.refl a).gpow_right n
@[simp] theorem gpow_self : commute (a ^ n) a := (commute.refl a).gpow_left n
@[simp] theorem gpow_gpow_self : commute (a ^ m) (a ^ n) := (commute.refl a).gpow_gpow m n
end group
section semiring
variables {A : Type*}
@[simp] theorem zero_right [mul_zero_class A] (a : A) : commute a 0 := semiconj_by.zero_right a
@[simp] theorem zero_left [mul_zero_class A] (a : A) : commute 0 a := semiconj_by.zero_left a a
@[simp] theorem add_right [distrib A] {a b c : A} :
commute a b → commute a c → commute a (b + c) :=
semiconj_by.add_right
@[simp] theorem add_left [distrib A] {a b c : A} :
commute a c → commute b c → commute (a + b) c :=
semiconj_by.add_left
variables [semiring A] {a b : A} (hab : commute a b) (m n : ℕ)
@[simp] theorem smul_right : commute a (n •ℕ b) := hab.smul_right n
@[simp] theorem smul_left : commute (n •ℕ a) b := hab.smul_left n
@[simp] theorem smul_smul : commute (m •ℕ a) (n •ℕ b) := hab.smul_smul m n
variable (a)
@[simp] theorem self_smul : commute a (n •ℕ a) := (commute.refl a).smul_right n
@[simp] theorem smul_self : commute (n •ℕ a) a := (commute.refl a).smul_left n
@[simp] theorem self_smul_smul : commute (m •ℕ a) (n •ℕ a) := (commute.refl a).smul_smul m n
@[simp] theorem cast_nat_right : commute a (n : A) := semiconj_by.cast_nat_right a n
@[simp] theorem cast_nat_left : commute (n : A) a := semiconj_by.cast_nat_left n a
end semiring
section ring
variables {R : Type*} [ring R] {a b c : R}
theorem neg_right : commute a b → commute a (- b) := semiconj_by.neg_right
@[simp] theorem neg_right_iff : commute a (-b) ↔ commute a b := semiconj_by.neg_right_iff
theorem neg_left : commute a b → commute (- a) b := semiconj_by.neg_left
@[simp] theorem neg_left_iff : commute (-a) b ↔ commute a b := semiconj_by.neg_left_iff
@[simp] theorem neg_one_right (a : R) : commute a (-1) := semiconj_by.neg_one_right a
@[simp] theorem neg_one_left (a : R): commute (-1) a := semiconj_by.neg_one_left a
@[simp] theorem sub_right : commute a b → commute a c → commute a (b - c) := semiconj_by.sub_right
@[simp] theorem sub_left : commute a c → commute b c → commute (a - b) c := semiconj_by.sub_left
variables (hab : commute a b) (m n : ℤ)
@[simp] theorem gsmul_right : commute a (m •ℤ b) := hab.gsmul_right m
@[simp] theorem gsmul_left : commute (m •ℤ a) b := hab.gsmul_left m
@[simp] theorem gsmul_gsmul : commute (m •ℤ a) (n •ℤ b) := hab.gsmul_gsmul m n
@[simp] theorem self_gsmul : commute a (n •ℤ a) := (commute.refl a).gsmul_right n
@[simp] theorem gsmul_self : commute (n •ℤ a) a := (commute.refl a).gsmul_left n
@[simp] theorem self_gsmul_gsmul : commute (m •ℤ a) (n •ℤ a) := (commute.refl a).gsmul_gsmul m n
variable (a)
@[simp] theorem cast_int_right : commute a (n : R) :=
by rw [← gsmul_one n]; exact (commute.one_right a).gsmul_right n
@[simp] theorem cast_int_left : commute (n : R) a := (commute.cast_int_right a n).symm
end ring
section division_ring
variables {R : Type*} [division_ring R] {a b c : R}
@[simp] theorem finv_left_iff : commute a⁻¹ b ↔ commute a b :=
semiconj_by.finv_symm_left_iff
theorem finv_left (h : commute a b) : commute a⁻¹ b :=
finv_left_iff.2 h
@[simp] theorem finv_right_iff : commute a b⁻¹ ↔ commute a b :=
commute.symm_iff.trans (finv_left_iff.trans commute.symm_iff)
theorem finv_right (h : commute a b) : commute a b⁻¹ :=
finv_right_iff.2 h
theorem finv_finv (h : commute a b) : commute a⁻¹ b⁻¹ :=
h.finv_left.finv_right
@[simp] theorem div_right (hab : commute a b) (hac : commute a c) :
commute a (b / c) :=
hab.mul_right hac.finv_right
@[simp] theorem div_left (hac : commute a c) (hbc : commute b c) :
commute (a / b) c :=
hac.mul_left hbc.finv_left
end division_ring
end commute
-- Definitions and trivial theorems about them
section centralizer
variables {S : Type*} [has_mul S]
/-- Centralizer of an element `a : S` as the set of elements that commute with `a`; for `S` a
monoid, `submonoid.centralizer` is the centralizer as a submonoid. -/
def centralizer (a : S) : set S := { x | commute a x }
@[simp] theorem mem_centralizer {a b : S} : b ∈ centralizer a ↔ commute a b := iff.rfl
/-- Centralizer of a set `T` as the set of elements of `S` that commute with all `a ∈ T`; for
`S` a monoid, `submonoid.set.centralizer` is the set centralizer as a submonoid. -/
protected def set.centralizer (s : set S) : set S := { x | ∀ a ∈ s, commute a x }
@[simp] protected theorem set.mem_centralizer (s : set S) {x : S} :
x ∈ s.centralizer ↔ ∀ a ∈ s, commute a x :=
iff.rfl
protected theorem set.mem_centralizer_iff_subset (s : set S) {x : S} :
x ∈ s.centralizer ↔ s ⊆ centralizer x :=
by simp only [set.mem_centralizer, mem_centralizer, set.subset_def, commute.symm_iff]
protected theorem set.centralizer_eq (s : set S) :
s.centralizer = ⋂ a ∈ s, centralizer a :=
set.ext $ assume x,
by simp only [s.mem_centralizer, set.mem_bInter_iff, mem_centralizer]
protected theorem set.centralizer_decreasing {s t : set S} (h : s ⊆ t) :
t.centralizer ⊆ s.centralizer :=
s.centralizer_eq.symm ▸ t.centralizer_eq.symm ▸ set.bInter_subset_bInter_left h
end centralizer
section monoid
variables {M : Type*} [monoid M] (a : M) (s : set M)
instance centralizer.is_submonoid : is_submonoid (centralizer a) :=
{ one_mem := commute.one_right a,
mul_mem := λ _ _, commute.mul_right }
/-- Centralizer of an element `a` of a monoid is the submonoid of elements that commute with `a`. -/
def submonoid.centralizer : submonoid M :=
{ carrier := centralizer a,
one_mem' := commute.one_right a,
mul_mem' := λ _ _, commute.mul_right }
instance set.centralizer.is_submonoid : is_submonoid s.centralizer :=
by rw s.centralizer_eq; apply_instance
/-- Centralizer of a subset `T` of a monoid is the submonoid of elements that commute with
all `a ∈ T`. -/
def submonoid.set.centralizer : submonoid M :=
{ carrier := s.centralizer,
one_mem' := λ _ _, commute.one_right _,
mul_mem' := λ _ _ h1 h2 a h, commute.mul_right (h1 a h) $ h2 a h }
@[simp] theorem monoid.centralizer_closure : (monoid.closure s).centralizer = s.centralizer :=
set.subset.antisymm
(set.centralizer_decreasing monoid.subset_closure)
(λ x, by simp only [set.mem_centralizer_iff_subset]; exact monoid.closure_subset)
-- Not sure if this should be an instance
lemma centralizer.inter_units_is_subgroup : is_subgroup { x : units M | commute a x } :=
{ one_mem := commute.one_right a,
mul_mem := λ _ _, commute.mul_right,
inv_mem := λ _, commute.units_inv_right }
theorem commute.list_prod_right {a : M} {l : list M} (h : ∀ x ∈ l, commute a x) :
commute a l.prod :=
is_submonoid.list_prod_mem (λ x hx, mem_centralizer.2 (h x hx))
theorem commute.list_prod_left {l : list M} {a : M} (h : ∀ x ∈ l, commute x a) :
commute l.prod a :=
(commute.list_prod_right (λ x hx, (h x hx).symm)).symm
end monoid
section group
variables {G : Type*} [group G] (a : G) (s : set G)
instance centralizer.is_subgroup : is_subgroup (centralizer a) :=
{ inv_mem := λ _, commute.inv_right }
instance set.centralizer.is_subgroup : is_subgroup s.centralizer :=
by rw s.centralizer_eq; apply_instance
@[simp] lemma group.centralizer_closure : (group.closure s).centralizer = s.centralizer :=
set.subset.antisymm
(set.centralizer_decreasing group.subset_closure)
(λ x, by simp only [set.mem_centralizer_iff_subset]; exact group.closure_subset)
end group
/- There is no `is_subsemiring` in mathlib, so we only prove `is_add_submonoid` here. -/
section semiring
variables {A : Type*} [semiring A] (a : A) (s : set A)
instance centralizer.is_add_submonoid : is_add_submonoid (centralizer a) :=
{ zero_mem := commute.zero_right a,
add_mem := λ _ _, commute.add_right }
def centralizer.add_submonoid : add_submonoid A :=
{ carrier := centralizer a,
zero_mem' := commute.zero_right a,
add_mem' := λ _ _, commute.add_right }
instance set.centralizer.is_add_submonoid : is_add_submonoid s.centralizer :=
by rw s.centralizer_eq; apply_instance
def set.centralizer.add_submonoid : add_submonoid A :=
{ carrier := s.centralizer,
zero_mem' := λ _ _, commute.zero_right _,
add_mem' := λ _ _ h1 h2 a h, commute.add_right (h1 a h) $ h2 a h }
@[simp] lemma add_monoid.centralizer_closure : (add_monoid.closure s).centralizer = s.centralizer :=
set.subset.antisymm
(set.centralizer_decreasing add_monoid.subset_closure)
(λ x, by simp only [set.mem_centralizer_iff_subset]; exact add_monoid.closure_subset)
end semiring
section ring
variables {R : Type*} [ring R] (a : R) (s : set R)
instance centralizer.is_subring : is_subring (centralizer a) :=
{ neg_mem := λ _, commute.neg_right }
instance set.centralizer.is_subring : is_subring s.centralizer :=
by rw s.centralizer_eq; apply_instance
@[simp] lemma ring.centralizer_closure : (ring.closure s).centralizer = s.centralizer :=
set.subset.antisymm
(set.centralizer_decreasing ring.subset_closure)
(λ x, by simp only [set.mem_centralizer_iff_subset]; exact ring.closure_subset)
end ring
namespace commute
protected theorem mul_pow {M : Type*} [monoid M] {a b : M} (hab : commute a b) :
∀ (n : ℕ), (a * b) ^ n = a ^ n * b ^ n
| 0 := by simp only [pow_zero, mul_one]
| (n + 1) := by simp only [pow_succ, mul_pow n];
assoc_rw [(hab.symm.pow_right n).eq]; rw [mul_assoc]
protected theorem mul_gpow {G : Type*} [group G] {a b : G} (hab : commute a b) :
∀ (n : ℤ), (a * b) ^ n = a ^ n * b ^ n
| (n : ℕ) := hab.mul_pow n
| -[1+n] :=
by { simp only [gpow_neg_succ, hab.mul_pow, mul_inv_rev],
exact (hab.pow_pow n.succ n.succ).inv_inv.symm.eq }
end commute
theorem neg_pow {R : Type*} [ring R] (a : R) (n : ℕ) : (- a) ^ n = (-1) ^ n * a ^ n :=
(neg_one_mul a) ▸ (commute.neg_one_left a).mul_pow n
|
e6922a6832a086ff5d0a64fe5ddbbe99587882ea | 02fbe05a45fda5abde7583464416db4366eedfbf | /library/init/data/subtype/basic.lean | 39b255377f60ec152e15ad0ec092a8aaf1abaee0 | [
"Apache-2.0"
] | permissive | jasonrute/lean | cc12807e11f9ac6b01b8951a8bfb9c2eb35a0154 | 4be962c167ca442a0ec5e84472d7ff9f5302788f | refs/heads/master | 1,672,036,664,637 | 1,601,642,826,000 | 1,601,642,826,000 | 260,777,966 | 0 | 0 | Apache-2.0 | 1,588,454,819,000 | 1,588,454,818,000 | null | UTF-8 | Lean | false | false | 909 | lean | /-
Copyright (c) 2014 Microsoft Corporation. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Author: Leonardo de Moura, Jeremy Avigad
-/
prelude
import init.logic
open decidable
universes u
namespace subtype
def exists_of_subtype {α : Type u} {p : α → Prop} : { x // p x } → ∃ x, p x
| ⟨a, h⟩ := ⟨a, h⟩
variables {α : Type u} {p : α → Prop}
lemma tag_irrelevant {a : α} (h1 h2 : p a) : mk a h1 = mk a h2 :=
rfl
protected lemma eq : ∀ {a1 a2 : {x // p x}}, val a1 = val a2 → a1 = a2
| ⟨x, h1⟩ ⟨.(x), h2⟩ rfl := rfl
lemma ne_of_val_ne {a1 a2 : {x // p x}} : val a1 ≠ val a2 → a1 ≠ a2 :=
mt $ congr_arg _
@[simp] lemma eta (a : {x // p x}) (h : p (val a)) : mk (val a) h = a :=
subtype.eq rfl
end subtype
open subtype
instance {α : Type u} {p : α → Prop} {a : α} (h : p a) : inhabited {x // p x} :=
⟨⟨a, h⟩⟩
|
22452118d91f14b73bb9a5242f4ffdb65637064e | c777c32c8e484e195053731103c5e52af26a25d1 | /counterexamples/char_p_zero_ne_char_zero.lean | 36fd17d6adcf903bb77e08167f885af5476212e8 | [
"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 | 1,014 | lean | /-
Copyright (c) 2022 Damiano Testa. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Damiano Testa, Eric Wieser
-/
import algebra.char_p.basic
/-! # `char_p R 0` and `char_zero R` need not coincide for semirings
For rings, the two notions coincide.
In fact, `char_p.of_char_zero` shows that `char_zero R` implies `char_p R 0` for any `char_zero`
`add_monoid R` with `1`.
The reverse implication holds for any `add_left_cancel_monoid R` with `1`, by `char_p_to_char_zero`.
This file shows that there are semiring `R` for which `char_p R 0` holds and `char_zero R` does not.
The example is `{0, 1}` with saturating addition.
-/
@[simp] lemma add_one_eq_one (x : with_zero unit) : x + 1 = 1 :=
with_zero.cases_on x (by refl) (λ h, by refl)
lemma with_zero_unit_char_p_zero : char_p (with_zero unit) 0 :=
⟨λ x, by cases x; simp⟩
lemma with_zero_unit_not_char_zero : ¬ char_zero (with_zero unit) :=
λ ⟨h⟩, h.ne (by simp : 1 + 1 ≠ 0 + 1) (by simp)
|
8bf44fe20711cc7d38c80e258e2cdd54af5ec7bc | 9028d228ac200bbefe3a711342514dd4e4458bff | /src/algebra/char_zero.lean | 4ea3da5810286ba270eae2483ac03a34970f16eb | [
"Apache-2.0"
] | permissive | mcncm/mathlib | 8d25099344d9d2bee62822cb9ed43aa3e09fa05e | fde3d78cadeec5ef827b16ae55664ef115e66f57 | refs/heads/master | 1,672,743,316,277 | 1,602,618,514,000 | 1,602,618,514,000 | null | 0 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 3,152 | lean | /-
Copyright (c) 2014 Mario Carneiro. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Mario Carneiro
Natural homomorphism from the natural numbers into a monoid with one.
-/
import data.nat.cast
import tactic.wlog
/-- Typeclass for monoids with characteristic zero.
(This is usually stated on fields but it makes sense for any additive monoid with 1.) -/
class char_zero (R : Type*) [add_monoid R] [has_one R] : Prop :=
(cast_injective : function.injective (coe : ℕ → R))
theorem char_zero_of_inj_zero {R : Type*} [add_left_cancel_monoid R] [has_one R]
(H : ∀ n:ℕ, (n:R) = 0 → n = 0) : char_zero R :=
⟨λ m n, begin
assume h,
wlog hle : m ≤ n,
cases nat.le.dest hle with k e,
suffices : k = 0, by rw [← e, this, add_zero],
apply H, apply @add_left_cancel R _ n,
rw [← h, ← nat.cast_add, e, add_zero, h]
end⟩
@[priority 100] -- see Note [lower instance priority]
instance linear_ordered_semiring.to_char_zero {R : Type*}
[linear_ordered_semiring R] : char_zero R :=
char_zero_of_inj_zero $ λ n h, nat.eq_zero_of_le_zero $
(@nat.cast_le R _ _ _).1 (le_of_eq h)
namespace nat
variables {R : Type*} [add_monoid R] [has_one R] [char_zero R]
theorem cast_injective : function.injective (coe : ℕ → R) :=
char_zero.cast_injective
@[simp, norm_cast] theorem cast_inj {m n : ℕ} : (m : R) = n ↔ m = n :=
cast_injective.eq_iff
@[simp, norm_cast] theorem cast_eq_zero {n : ℕ} : (n : R) = 0 ↔ n = 0 :=
by rw [← cast_zero, cast_inj]
@[norm_cast] theorem cast_ne_zero {n : ℕ} : (n : R) ≠ 0 ↔ n ≠ 0 :=
not_congr cast_eq_zero
lemma cast_add_one_ne_zero (n : ℕ) : (n + 1 : R) ≠ 0 :=
by exact_mod_cast n.succ_ne_zero
@[simp, norm_cast]
theorem cast_dvd_char_zero {k : Type*} [field k] [char_zero k] {m n : ℕ}
(n_dvd : n ∣ m) : ((m / n : ℕ) : k) = m / n :=
begin
by_cases hn : n = 0,
{ subst hn,
simp },
{ exact cast_dvd n_dvd (cast_ne_zero.mpr hn), },
end
end nat
@[field_simps] lemma two_ne_zero' {R : Type*} [add_monoid R] [has_one R] [char_zero R] : (2:R) ≠ 0 :=
have ((2:ℕ):R) ≠ 0, from nat.cast_ne_zero.2 dec_trivial,
by rwa [nat.cast_succ, nat.cast_one] at this
section
variables {R : Type*} [semiring R] [no_zero_divisors R] [char_zero R]
lemma add_self_eq_zero {a : R} : a + a = 0 ↔ a = 0 :=
by simp only [(two_mul a).symm, mul_eq_zero, two_ne_zero', false_or]
lemma bit0_eq_zero {a : R} : bit0 a = 0 ↔ a = 0 := add_self_eq_zero
end
section
variables {R : Type*} [division_ring R] [char_zero R]
@[simp] lemma half_add_self (a : R) : (a + a) / 2 = a :=
by rw [← mul_two, mul_div_cancel a two_ne_zero']
@[simp] lemma add_halves' (a : R) : a / 2 + a / 2 = a :=
by rw [← add_div, half_add_self]
lemma sub_half (a : R) : a - a / 2 = a / 2 :=
by rw [sub_eq_iff_eq_add, add_halves']
lemma half_sub (a : R) : a / 2 - a = - (a / 2) :=
by rw [← neg_sub, sub_half]
end
namespace with_top
instance {R : Type*} [add_monoid R] [has_one R] [char_zero R] : char_zero (with_top R) :=
{ cast_injective := λ m n h, by rwa [← coe_nat, ← coe_nat n, coe_eq_coe, nat.cast_inj] at h }
end with_top
|
cd2414957fef771f0a83757454d334d1b743fd2a | 8cae430f0a71442d02dbb1cbb14073b31048e4b0 | /src/algebra/big_operators/finprod.lean | 03f5e99ad9b87add9d935bc1c3fa5812cd928f78 | [
"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 | 47,802 | lean | /-
Copyright (c) 2020 Kexing Ying and Kevin Buzzard. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Kexing Ying, Kevin Buzzard, Yury Kudryashov
-/
import algebra.big_operators.order
import algebra.indicator_function
/-!
# Finite products and sums over types and sets
> THIS FILE IS SYNCHRONIZED WITH MATHLIB4.
> Any changes to this file require a corresponding PR to mathlib4.
We define products and sums over types and subsets of types, with no finiteness hypotheses.
All infinite products and sums are defined to be junk values (i.e. one or zero).
This approach is sometimes easier to use than `finset.sum`,
when issues arise with `finset` and `fintype` being data.
## Main definitions
We use the following variables:
* `α`, `β` - types with no structure;
* `s`, `t` - sets
* `M`, `N` - additive or multiplicative commutative monoids
* `f`, `g` - functions
Definitions in this file:
* `finsum f : M` : the sum of `f x` as `x` ranges over the support of `f`, if it's finite.
Zero otherwise.
* `finprod f : M` : the product of `f x` as `x` ranges over the multiplicative support of `f`, if
it's finite. One otherwise.
## Notation
* `∑ᶠ i, f i` and `∑ᶠ i : α, f i` for `finsum f`
* `∏ᶠ i, f i` and `∏ᶠ i : α, f i` for `finprod f`
This notation works for functions `f : p → M`, where `p : Prop`, so the following works:
* `∑ᶠ i ∈ s, f i`, where `f : α → M`, `s : set α` : sum over the set `s`;
* `∑ᶠ n < 5, f n`, where `f : ℕ → M` : same as `f 0 + f 1 + f 2 + f 3 + f 4`;
* `∏ᶠ (n >= -2) (hn : n < 3), f n`, where `f : ℤ → M` : same as `f (-2) * f (-1) * f 0 * f 1 * f 2`.
## Implementation notes
`finsum` and `finprod` is "yet another way of doing finite sums and products in Lean". However
experiments in the wild (e.g. with matroids) indicate that it is a helpful approach in settings
where the user is not interested in computability and wants to do reasoning without running into
typeclass diamonds caused by the constructive finiteness used in definitions such as `finset` and
`fintype`. By sticking solely to `set.finite` we avoid these problems. We are aware that there are
other solutions but for beginner mathematicians this approach is easier in practice.
Another application is the construction of a partition of unity from a collection of “bump”
function. In this case the finite set depends on the point and it's convenient to have a definition
that does not mention the set explicitly.
The first arguments in all definitions and lemmas is the codomain of the function of the big
operator. This is necessary for the heuristic in `@[to_additive]`.
See the documentation of `to_additive.attr` for more information.
We did not add `is_finite (X : Type) : Prop`, because it is simply `nonempty (fintype X)`.
## Tags
finsum, finprod, finite sum, finite product
-/
open function set
/-!
### Definition and relation to `finset.sum` and `finset.prod`
-/
section sort
variables {G M N : Type*} {α β ι : Sort*} [comm_monoid M] [comm_monoid N]
open_locale big_operators
section
/- Note: we use classical logic only for these definitions, to ensure that we do not write lemmas
with `classical.dec` in their statement. -/
open_locale classical
/-- Sum of `f x` as `x` ranges over the elements of the support of `f`, if it's finite. Zero
otherwise. -/
@[irreducible] noncomputable def finsum {M α} [add_comm_monoid M] (f : α → M) : M :=
if h : (support (f ∘ plift.down)).finite then ∑ i in h.to_finset, f i.down else 0
/-- Product of `f x` as `x` ranges over the elements of the multiplicative support of `f`, if it's
finite. One otherwise. -/
@[irreducible, to_additive]
noncomputable def finprod (f : α → M) : M :=
if h : (mul_support (f ∘ plift.down)).finite then ∏ i in h.to_finset, f i.down else 1
end
localized "notation (name := finsum)
`∑ᶠ` binders `, ` r:(scoped:67 f, finsum f) := r" in big_operators
localized "notation (name := finprod)
`∏ᶠ` binders `, ` r:(scoped:67 f, finprod f) := r" in big_operators
@[to_additive] lemma finprod_eq_prod_plift_of_mul_support_to_finset_subset
{f : α → M} (hf : (mul_support (f ∘ plift.down)).finite) {s : finset (plift α)}
(hs : hf.to_finset ⊆ s) :
∏ᶠ i, f i = ∏ i in s, f i.down :=
begin
rw [finprod, dif_pos],
refine finset.prod_subset hs (λ x hx hxf, _),
rwa [hf.mem_to_finset, nmem_mul_support] at hxf
end
@[to_additive] lemma finprod_eq_prod_plift_of_mul_support_subset
{f : α → M} {s : finset (plift α)} (hs : mul_support (f ∘ plift.down) ⊆ s) :
∏ᶠ i, f i = ∏ i in s, f i.down :=
finprod_eq_prod_plift_of_mul_support_to_finset_subset
(s.finite_to_set.subset hs) $ λ x hx, by { rw finite.mem_to_finset at hx, exact hs hx }
@[simp, to_additive] lemma finprod_one : ∏ᶠ i : α, (1 : M) = 1 :=
begin
have : mul_support (λ x : plift α, (λ _, 1 : α → M) x.down) ⊆ (∅ : finset (plift α)),
from λ x h, h rfl,
rw [finprod_eq_prod_plift_of_mul_support_subset this, finset.prod_empty]
end
@[to_additive] lemma finprod_of_is_empty [is_empty α] (f : α → M) : ∏ᶠ i, f i = 1 :=
by { rw ← finprod_one, congr }
@[simp, to_additive] lemma finprod_false (f : false → M) : ∏ᶠ i, f i = 1 :=
finprod_of_is_empty _
@[to_additive] lemma finprod_eq_single (f : α → M) (a : α) (ha : ∀ x ≠ a, f x = 1) :
∏ᶠ x, f x = f a :=
begin
have : mul_support (f ∘ plift.down) ⊆ ({plift.up a} : finset (plift α)),
{ intro x, contrapose,
simpa [plift.eq_up_iff_down_eq] using ha x.down },
rw [finprod_eq_prod_plift_of_mul_support_subset this, finset.prod_singleton],
end
@[to_additive] lemma finprod_unique [unique α] (f : α → M) : ∏ᶠ i, f i = f default :=
finprod_eq_single f default $ λ x hx, (hx $ unique.eq_default _).elim
@[simp, to_additive] lemma finprod_true (f : true → M) : ∏ᶠ i, f i = f trivial :=
@finprod_unique M true _ ⟨⟨trivial⟩, λ _, rfl⟩ f
@[to_additive] lemma finprod_eq_dif {p : Prop} [decidable p] (f : p → M) :
∏ᶠ i, f i = if h : p then f h else 1 :=
begin
split_ifs,
{ haveI : unique p := ⟨⟨h⟩, λ _, rfl⟩, exact finprod_unique f },
{ haveI : is_empty p := ⟨h⟩, exact finprod_of_is_empty f }
end
@[to_additive] lemma finprod_eq_if {p : Prop} [decidable p] {x : M} :
∏ᶠ i : p, x = if p then x else 1 :=
finprod_eq_dif (λ _, x)
@[to_additive] lemma finprod_congr {f g : α → M} (h : ∀ x, f x = g x) :
finprod f = finprod g :=
congr_arg _ $ funext h
@[congr, to_additive] lemma finprod_congr_Prop {p q : Prop} {f : p → M} {g : q → M} (hpq : p = q)
(hfg : ∀ h : q, f (hpq.mpr h) = g h) :
finprod f = finprod g :=
by { subst q, exact finprod_congr hfg }
attribute [congr] finsum_congr_Prop
/-- To prove a property of a finite product, it suffices to prove that the property is
multiplicative and holds on the factors. -/
@[to_additive "To prove a property of a finite sum, it suffices to prove that the property is
additive and holds on the summands."]
lemma finprod_induction {f : α → M} (p : M → Prop) (hp₀ : p 1) (hp₁ : ∀ x y, p x → p y → p (x * y))
(hp₂ : ∀ i, p (f i)) :
p (∏ᶠ i, f i) :=
begin
rw finprod,
split_ifs,
exacts [finset.prod_induction _ _ hp₁ hp₀ (λ i hi, hp₂ _), hp₀]
end
lemma finprod_nonneg {R : Type*} [ordered_comm_semiring R] {f : α → R} (hf : ∀ x, 0 ≤ f x) :
0 ≤ ∏ᶠ x, f x :=
finprod_induction (λ x, 0 ≤ x) zero_le_one (λ x y, mul_nonneg) hf
@[to_additive finsum_nonneg]
lemma one_le_finprod' {M : Type*} [ordered_comm_monoid M] {f : α → M} (hf : ∀ i, 1 ≤ f i) :
1 ≤ ∏ᶠ i, f i :=
finprod_induction _ le_rfl (λ _ _, one_le_mul) hf
@[to_additive] lemma monoid_hom.map_finprod_plift (f : M →* N) (g : α → M)
(h : (mul_support $ g ∘ plift.down).finite) :
f (∏ᶠ x, g x) = ∏ᶠ x, f (g x) :=
begin
rw [finprod_eq_prod_plift_of_mul_support_subset h.coe_to_finset.ge,
finprod_eq_prod_plift_of_mul_support_subset, f.map_prod],
rw [h.coe_to_finset],
exact mul_support_comp_subset f.map_one (g ∘ plift.down)
end
@[to_additive] lemma monoid_hom.map_finprod_Prop {p : Prop} (f : M →* N) (g : p → M) :
f (∏ᶠ x, g x) = ∏ᶠ x, f (g x) :=
f.map_finprod_plift g (set.to_finite _)
@[to_additive] lemma monoid_hom.map_finprod_of_preimage_one (f : M →* N)
(hf : ∀ x, f x = 1 → x = 1) (g : α → M) :
f (∏ᶠ i, g i) = ∏ᶠ i, f (g i) :=
begin
by_cases hg : (mul_support $ g ∘ plift.down).finite, { exact f.map_finprod_plift g hg },
rw [finprod, dif_neg, f.map_one, finprod, dif_neg],
exacts [infinite.mono (λ x hx, mt (hf (g x.down)) hx) hg, hg]
end
@[to_additive] lemma monoid_hom.map_finprod_of_injective (g : M →* N) (hg : injective g)
(f : α → M) :
g (∏ᶠ i, f i) = ∏ᶠ i, g (f i) :=
g.map_finprod_of_preimage_one (λ x, (hg.eq_iff' g.map_one).mp) f
@[to_additive] lemma mul_equiv.map_finprod (g : M ≃* N) (f : α → M) :
g (∏ᶠ i, f i) = ∏ᶠ i, g (f i) :=
g.to_monoid_hom.map_finprod_of_injective g.injective f
lemma finsum_smul {R M : Type*} [ring R] [add_comm_group M] [module R M] [no_zero_smul_divisors R M]
(f : ι → R) (x : M) :
(∑ᶠ i, f i) • x = ∑ᶠ i, f i • x :=
begin
rcases eq_or_ne x 0 with rfl|hx, { simp },
exact ((smul_add_hom R M).flip x).map_finsum_of_injective (smul_left_injective R hx) _
end
lemma smul_finsum {R M : Type*} [ring R] [add_comm_group M] [module R M]
[no_zero_smul_divisors R M] (c : R) (f : ι → M) :
c • (∑ᶠ i, f i) = (∑ᶠ i, c • f i) :=
begin
rcases eq_or_ne c 0 with rfl|hc, { simp },
exact (smul_add_hom R M c).map_finsum_of_injective (smul_right_injective M hc) _
end
@[to_additive] lemma finprod_inv_distrib [division_comm_monoid G] (f : α → G) :
∏ᶠ x, (f x)⁻¹ = (∏ᶠ x, f x)⁻¹ :=
((mul_equiv.inv G).map_finprod f).symm
end sort
section type
variables {α β ι G M N : Type*} [comm_monoid M] [comm_monoid N]
open_locale big_operators
@[to_additive] lemma finprod_eq_mul_indicator_apply (s : set α)
(f : α → M) (a : α) :
∏ᶠ (h : a ∈ s), f a = mul_indicator s f a :=
by convert finprod_eq_if
@[simp, to_additive] lemma finprod_mem_mul_support (f : α → M) (a : α) :
∏ᶠ (h : f a ≠ 1), f a = f a :=
by rw [← mem_mul_support, finprod_eq_mul_indicator_apply, mul_indicator_mul_support]
@[to_additive] lemma finprod_mem_def (s : set α) (f : α → M) :
∏ᶠ a ∈ s, f a = ∏ᶠ a, mul_indicator s f a :=
finprod_congr $ finprod_eq_mul_indicator_apply s f
@[to_additive] lemma finprod_eq_prod_of_mul_support_subset (f : α → M) {s : finset α}
(h : mul_support f ⊆ s) :
∏ᶠ i, f i = ∏ i in s, f i :=
begin
have A : mul_support (f ∘ plift.down) = equiv.plift.symm '' mul_support f,
{ rw mul_support_comp_eq_preimage,
exact (equiv.plift.symm.image_eq_preimage _).symm },
have : mul_support (f ∘ plift.down) ⊆ s.map equiv.plift.symm.to_embedding,
{ rw [A, finset.coe_map], exact image_subset _ h },
rw [finprod_eq_prod_plift_of_mul_support_subset this],
simp
end
@[to_additive] lemma finprod_eq_prod_of_mul_support_to_finset_subset (f : α → M)
(hf : (mul_support f).finite) {s : finset α} (h : hf.to_finset ⊆ s) :
∏ᶠ i, f i = ∏ i in s, f i :=
finprod_eq_prod_of_mul_support_subset _ $ λ x hx, h $ hf.mem_to_finset.2 hx
@[to_additive] lemma finprod_eq_finset_prod_of_mul_support_subset
(f : α → M) {s : finset α} (h : mul_support f ⊆ (s : set α)) :
∏ᶠ i, f i = ∏ i in s, f i :=
begin
have h' : (s.finite_to_set.subset h).to_finset ⊆ s,
{ simpa [← finset.coe_subset, set.coe_to_finset], },
exact finprod_eq_prod_of_mul_support_to_finset_subset _ _ h',
end
@[to_additive] lemma finprod_def (f : α → M) [decidable (mul_support f).finite] :
∏ᶠ i : α, f i = if h : (mul_support f).finite then ∏ i in h.to_finset, f i else 1 :=
begin
split_ifs,
{ exact finprod_eq_prod_of_mul_support_to_finset_subset _ h (finset.subset.refl _) },
{ rw [finprod, dif_neg],
rw [mul_support_comp_eq_preimage],
exact mt (λ hf, hf.of_preimage equiv.plift.surjective) h}
end
@[to_additive] lemma finprod_of_infinite_mul_support {f : α → M} (hf : (mul_support f).infinite) :
∏ᶠ i, f i = 1 :=
by { classical, rw [finprod_def, dif_neg hf] }
@[to_additive] lemma finprod_eq_prod (f : α → M) (hf : (mul_support f).finite) :
∏ᶠ i : α, f i = ∏ i in hf.to_finset, f i :=
by { classical, rw [finprod_def, dif_pos hf] }
@[to_additive] lemma finprod_eq_prod_of_fintype [fintype α] (f : α → M) :
∏ᶠ i : α, f i = ∏ i, f i :=
finprod_eq_prod_of_mul_support_to_finset_subset _ (set.to_finite _) $ finset.subset_univ _
@[to_additive] lemma finprod_cond_eq_prod_of_cond_iff (f : α → M) {p : α → Prop} {t : finset α}
(h : ∀ {x}, f x ≠ 1 → (p x ↔ x ∈ t)) :
∏ᶠ i (hi : p i), f i = ∏ i in t, f i :=
begin
set s := {x | p x},
have : mul_support (s.mul_indicator f) ⊆ t,
{ rw [set.mul_support_mul_indicator], intros x hx, exact (h hx.2).1 hx.1 },
erw [finprod_mem_def, finprod_eq_prod_of_mul_support_subset _ this],
refine finset.prod_congr rfl (λ x hx, mul_indicator_apply_eq_self.2 $ λ hxs, _),
contrapose! hxs,
exact (h hxs).2 hx
end
@[to_additive] lemma finprod_cond_ne (f : α → M) (a : α) [decidable_eq α]
(hf : (mul_support f).finite) : (∏ᶠ i ≠ a, f i) = ∏ i in hf.to_finset.erase a, f i :=
begin
apply finprod_cond_eq_prod_of_cond_iff,
intros x hx,
rw [finset.mem_erase, finite.mem_to_finset, mem_mul_support],
exact ⟨λ h, and.intro h hx, λ h, h.1⟩
end
@[to_additive] lemma finprod_mem_eq_prod_of_inter_mul_support_eq (f : α → M) {s : set α}
{t : finset α} (h : s ∩ mul_support f = t ∩ mul_support f) :
∏ᶠ i ∈ s, f i = ∏ i in t, f i :=
finprod_cond_eq_prod_of_cond_iff _ $ by simpa [set.ext_iff] using h
@[to_additive] lemma finprod_mem_eq_prod_of_subset (f : α → M) {s : set α} {t : finset α}
(h₁ : s ∩ mul_support f ⊆ t) (h₂ : ↑t ⊆ s) :
∏ᶠ i ∈ s, f i = ∏ i in t, f i :=
finprod_cond_eq_prod_of_cond_iff _ $ λ x hx, ⟨λ h, h₁ ⟨h, hx⟩, λ h, h₂ h⟩
@[to_additive] lemma finprod_mem_eq_prod (f : α → M) {s : set α}
(hf : (s ∩ mul_support f).finite) :
∏ᶠ i ∈ s, f i = ∏ i in hf.to_finset, f i :=
finprod_mem_eq_prod_of_inter_mul_support_eq _ $ by simp [inter_assoc]
@[to_additive] lemma finprod_mem_eq_prod_filter (f : α → M) (s : set α) [decidable_pred (∈ s)]
(hf : (mul_support f).finite) :
∏ᶠ i ∈ s, f i = ∏ i in finset.filter (∈ s) hf.to_finset, f i :=
finprod_mem_eq_prod_of_inter_mul_support_eq _ $ by simp [inter_comm, inter_left_comm]
@[to_additive] lemma finprod_mem_eq_to_finset_prod (f : α → M) (s : set α) [fintype s] :
∏ᶠ i ∈ s, f i = ∏ i in s.to_finset, f i :=
finprod_mem_eq_prod_of_inter_mul_support_eq _ $ by rw [coe_to_finset]
@[to_additive] lemma finprod_mem_eq_finite_to_finset_prod (f : α → M) {s : set α} (hs : s.finite) :
∏ᶠ i ∈ s, f i = ∏ i in hs.to_finset, f i :=
finprod_mem_eq_prod_of_inter_mul_support_eq _ $ by rw [hs.coe_to_finset]
@[to_additive] lemma finprod_mem_finset_eq_prod (f : α → M) (s : finset α) :
∏ᶠ i ∈ s, f i = ∏ i in s, f i :=
finprod_mem_eq_prod_of_inter_mul_support_eq _ rfl
@[to_additive] lemma finprod_mem_coe_finset (f : α → M) (s : finset α) :
∏ᶠ i ∈ (s : set α), f i = ∏ i in s, f i :=
finprod_mem_eq_prod_of_inter_mul_support_eq _ rfl
@[to_additive] lemma finprod_mem_eq_one_of_infinite {f : α → M} {s : set α}
(hs : (s ∩ mul_support f).infinite) : ∏ᶠ i ∈ s, f i = 1 :=
begin
rw finprod_mem_def,
apply finprod_of_infinite_mul_support,
rwa [← mul_support_mul_indicator] at hs
end
@[to_additive]
lemma finprod_mem_eq_one_of_forall_eq_one {f : α → M} {s : set α} (h : ∀ x ∈ s, f x = 1) :
∏ᶠ i ∈ s, f i = 1 :=
by simp [h] {contextual := tt}
@[to_additive] lemma finprod_mem_inter_mul_support (f : α → M) (s : set α) :
∏ᶠ i ∈ (s ∩ mul_support f), f i = ∏ᶠ i ∈ s, f i :=
by rw [finprod_mem_def, finprod_mem_def, mul_indicator_inter_mul_support]
@[to_additive] lemma finprod_mem_inter_mul_support_eq (f : α → M) (s t : set α)
(h : s ∩ mul_support f = t ∩ mul_support f) :
∏ᶠ i ∈ s, f i = ∏ᶠ i ∈ t, f i :=
by rw [← finprod_mem_inter_mul_support, h, finprod_mem_inter_mul_support]
@[to_additive] lemma finprod_mem_inter_mul_support_eq' (f : α → M) (s t : set α)
(h : ∀ x ∈ mul_support f, x ∈ s ↔ x ∈ t) :
∏ᶠ i ∈ s, f i = ∏ᶠ i ∈ t, f i :=
begin
apply finprod_mem_inter_mul_support_eq,
ext x,
exact and_congr_left (h x)
end
@[to_additive] lemma finprod_mem_univ (f : α → M) : ∏ᶠ i ∈ @set.univ α, f i = ∏ᶠ i : α, f i :=
finprod_congr $ λ i, finprod_true _
variables {f g : α → M} {a b : α} {s t : set α}
@[to_additive] lemma finprod_mem_congr (h₀ : s = t) (h₁ : ∀ x ∈ t, f x = g x) :
∏ᶠ i ∈ s, f i = ∏ᶠ i ∈ t, g i :=
h₀.symm ▸ (finprod_congr $ λ i, finprod_congr_Prop rfl (h₁ i))
@[to_additive]
lemma finprod_eq_one_of_forall_eq_one {f : α → M} (h : ∀ x, f x = 1) :
∏ᶠ i, f i = 1 :=
by simp [h] {contextual := tt}
/-!
### Distributivity w.r.t. addition, subtraction, and (scalar) multiplication
-/
/-- If the multiplicative supports of `f` and `g` are finite, then the product of `f i * g i` equals
the product of `f i` multiplied by the product of `g i`. -/
@[to_additive "If the additive supports of `f` and `g` are finite, then the sum of `f i + g i`
equals the sum of `f i` plus the sum of `g i`."]
lemma finprod_mul_distrib (hf : (mul_support f).finite) (hg : (mul_support g).finite) :
∏ᶠ i, f i * g i = (∏ᶠ i, f i) * ∏ᶠ i, g i :=
begin
classical,
rw [finprod_eq_prod_of_mul_support_to_finset_subset _ hf (finset.subset_union_left _ _),
finprod_eq_prod_of_mul_support_to_finset_subset _ hg (finset.subset_union_right _ _),
← finset.prod_mul_distrib],
refine finprod_eq_prod_of_mul_support_subset _ _,
simp [mul_support_mul]
end
/-- If the multiplicative supports of `f` and `g` are finite, then the product of `f i / g i`
equals the product of `f i` divided by the product of `g i`. -/
@[to_additive "If the additive supports of `f` and `g` are finite, then the sum of `f i - g i`
equals the sum of `f i` minus the sum of `g i`."]
lemma finprod_div_distrib [division_comm_monoid G] {f g : α → G} (hf : (mul_support f).finite)
(hg : (mul_support g).finite) :
∏ᶠ i, f i / g i = (∏ᶠ i, f i) / ∏ᶠ i, g i :=
by simp only [div_eq_mul_inv, finprod_mul_distrib hf ((mul_support_inv g).symm.rec hg),
finprod_inv_distrib]
/-- A more general version of `finprod_mem_mul_distrib` that only requires `s ∩ mul_support f` and
`s ∩ mul_support g` rather than `s` to be finite. -/
@[to_additive "A more general version of `finsum_mem_add_distrib` that only requires `s ∩ support f`
and `s ∩ support g` rather than `s` to be finite."]
lemma finprod_mem_mul_distrib' (hf : (s ∩ mul_support f).finite) (hg : (s ∩ mul_support g).finite) :
∏ᶠ i ∈ s, f i * g i = (∏ᶠ i ∈ s, f i) * ∏ᶠ i ∈ s, g i :=
begin
rw [← mul_support_mul_indicator] at hf hg,
simp only [finprod_mem_def, mul_indicator_mul, finprod_mul_distrib hf hg]
end
/-- The product of the constant function `1` over any set equals `1`. -/
@[to_additive "The product of the constant function `0` over any set equals `0`."]
lemma finprod_mem_one (s : set α) : ∏ᶠ i ∈ s, (1 : M) = 1 := by simp
/-- If a function `f` equals `1` on a set `s`, then the product of `f i` over `i ∈ s` equals `1`. -/
@[to_additive "If a function `f` equals `0` on a set `s`, then the product of `f i` over `i ∈ s`
equals `0`."]
lemma finprod_mem_of_eq_on_one (hf : s.eq_on f 1) : ∏ᶠ i ∈ s, f i = 1 :=
by { rw ← finprod_mem_one s, exact finprod_mem_congr rfl hf }
/-- If the product of `f i` over `i ∈ s` is not equal to `1`, then there is some `x ∈ s` such that
`f x ≠ 1`. -/
@[to_additive "If the product of `f i` over `i ∈ s` is not equal to `0`, then there is some `x ∈ s`
such that `f x ≠ 0`."]
lemma exists_ne_one_of_finprod_mem_ne_one (h : ∏ᶠ i ∈ s, f i ≠ 1) : ∃ x ∈ s, f x ≠ 1 :=
begin
by_contra' h',
exact h (finprod_mem_of_eq_on_one h')
end
/-- Given a finite set `s`, the product of `f i * g i` over `i ∈ s` equals the product of `f i`
over `i ∈ s` times the product of `g i` over `i ∈ s`. -/
@[to_additive "Given a finite set `s`, the sum of `f i + g i` over `i ∈ s` equals the sum of `f i`
over `i ∈ s` plus the sum of `g i` over `i ∈ s`."]
lemma finprod_mem_mul_distrib (hs : s.finite) :
∏ᶠ i ∈ s, f i * g i = (∏ᶠ i ∈ s, f i) * ∏ᶠ i ∈ s, g i :=
finprod_mem_mul_distrib' (hs.inter_of_left _) (hs.inter_of_left _)
@[to_additive] lemma monoid_hom.map_finprod {f : α → M} (g : M →* N) (hf : (mul_support f).finite) :
g (∏ᶠ i, f i) = ∏ᶠ i, g (f i) :=
g.map_finprod_plift f $ hf.preimage $ equiv.plift.injective.inj_on _
@[to_additive] lemma finprod_pow (hf : (mul_support f).finite) (n : ℕ) :
(∏ᶠ i, f i) ^ n = ∏ᶠ i, f i ^ n :=
(pow_monoid_hom n).map_finprod hf
/-- A more general version of `monoid_hom.map_finprod_mem` that requires `s ∩ mul_support f` rather
than `s` to be finite. -/
@[to_additive "A more general version of `add_monoid_hom.map_finsum_mem` that requires
`s ∩ support f` rather than `s` to be finite."]
lemma monoid_hom.map_finprod_mem' {f : α → M} (g : M →* N) (h₀ : (s ∩ mul_support f).finite) :
g (∏ᶠ j ∈ s, f j) = ∏ᶠ i ∈ s, g (f i) :=
begin
rw [g.map_finprod],
{ simp only [g.map_finprod_Prop] },
{ simpa only [finprod_eq_mul_indicator_apply, mul_support_mul_indicator] }
end
/-- Given a monoid homomorphism `g : M →* N` and a function `f : α → M`, the value of `g` at the
product of `f i` over `i ∈ s` equals the product of `g (f i)` over `s`. -/
@[to_additive "Given an additive monoid homomorphism `g : M →* N` and a function `f : α → M`, the
value of `g` at the sum of `f i` over `i ∈ s` equals the sum of `g (f i)` over `s`."]
lemma monoid_hom.map_finprod_mem (f : α → M) (g : M →* N) (hs : s.finite) :
g (∏ᶠ j ∈ s, f j) = ∏ᶠ i ∈ s, g (f i) :=
g.map_finprod_mem' (hs.inter_of_left _)
@[to_additive] lemma mul_equiv.map_finprod_mem (g : M ≃* N) (f : α → M) {s : set α}
(hs : s.finite) : g (∏ᶠ i ∈ s, f i) = ∏ᶠ i ∈ s, g (f i) :=
g.to_monoid_hom.map_finprod_mem f hs
@[to_additive] lemma finprod_mem_inv_distrib [division_comm_monoid G] (f : α → G) (hs : s.finite) :
∏ᶠ x ∈ s, (f x)⁻¹ = (∏ᶠ x ∈ s, f x)⁻¹ :=
((mul_equiv.inv G).map_finprod_mem f hs).symm
/-- Given a finite set `s`, the product of `f i / g i` over `i ∈ s` equals the product of `f i`
over `i ∈ s` divided by the product of `g i` over `i ∈ s`. -/
@[to_additive "Given a finite set `s`, the sum of `f i / g i` over `i ∈ s` equals the sum of `f i`
over `i ∈ s` minus the sum of `g i` over `i ∈ s`."]
lemma finprod_mem_div_distrib [division_comm_monoid G] (f g : α → G) (hs : s.finite) :
∏ᶠ i ∈ s, f i / g i = (∏ᶠ i ∈ s, f i) / ∏ᶠ i ∈ s, g i :=
by simp only [div_eq_mul_inv, finprod_mem_mul_distrib hs, finprod_mem_inv_distrib g hs]
/-!
### `∏ᶠ x ∈ s, f x` and set operations
-/
/-- The product of any function over an empty set is `1`. -/
@[to_additive "The sum of any function over an empty set is `0`."]
lemma finprod_mem_empty : ∏ᶠ i ∈ (∅ : set α), f i = 1 := by simp
/-- A set `s` is nonempty if the product of some function over `s` is not equal to `1`. -/
@[to_additive "A set `s` is nonempty if the sum of some function over `s` is not equal to `0`."]
lemma nonempty_of_finprod_mem_ne_one (h : ∏ᶠ i ∈ s, f i ≠ 1) : s.nonempty :=
nonempty_iff_ne_empty.2 $ λ h', h $ h'.symm ▸ finprod_mem_empty
/-- Given finite sets `s` and `t`, the product of `f i` over `i ∈ s ∪ t` times the product of
`f i` over `i ∈ s ∩ t` equals the product of `f i` over `i ∈ s` times the product of `f i`
over `i ∈ t`. -/
@[to_additive "Given finite sets `s` and `t`, the sum of `f i` over `i ∈ s ∪ t` plus the sum of
`f i` over `i ∈ s ∩ t` equals the sum of `f i` over `i ∈ s` plus the sum of `f i` over `i ∈ t`."]
lemma finprod_mem_union_inter (hs : s.finite) (ht : t.finite) :
(∏ᶠ i ∈ s ∪ t, f i) * ∏ᶠ i ∈ s ∩ t, f i = (∏ᶠ i ∈ s, f i) * ∏ᶠ i ∈ t, f i :=
begin
lift s to finset α using hs, lift t to finset α using ht,
classical,
rw [← finset.coe_union, ← finset.coe_inter],
simp only [finprod_mem_coe_finset, finset.prod_union_inter]
end
/-- A more general version of `finprod_mem_union_inter` that requires `s ∩ mul_support f` and
`t ∩ mul_support f` rather than `s` and `t` to be finite. -/
@[to_additive "A more general version of `finsum_mem_union_inter` that requires `s ∩ support f` and
`t ∩ support f` rather than `s` and `t` to be finite."] lemma finprod_mem_union_inter'
(hs : (s ∩ mul_support f).finite) (ht : (t ∩ mul_support f).finite) :
(∏ᶠ i ∈ s ∪ t, f i) * ∏ᶠ i ∈ s ∩ t, f i = (∏ᶠ i ∈ s, f i) * ∏ᶠ i ∈ t, f i :=
begin
rw [← finprod_mem_inter_mul_support f s, ← finprod_mem_inter_mul_support f t,
← finprod_mem_union_inter hs ht, ← union_inter_distrib_right, finprod_mem_inter_mul_support,
← finprod_mem_inter_mul_support f (s ∩ t)],
congr' 2,
rw [inter_left_comm, inter_assoc, inter_assoc, inter_self, inter_left_comm]
end
/-- A more general version of `finprod_mem_union` that requires `s ∩ mul_support f` and
`t ∩ mul_support f` rather than `s` and `t` to be finite. -/
@[to_additive "A more general version of `finsum_mem_union` that requires `s ∩ support f` and
`t ∩ support f` rather than `s` and `t` to be finite."]
lemma finprod_mem_union' (hst : disjoint s t) (hs : (s ∩ mul_support f).finite)
(ht : (t ∩ mul_support f).finite) :
∏ᶠ i ∈ s ∪ t, f i = (∏ᶠ i ∈ s, f i) * ∏ᶠ i ∈ t, f i :=
by rw [← finprod_mem_union_inter' hs ht, disjoint_iff_inter_eq_empty.1 hst, finprod_mem_empty,
mul_one]
/-- Given two finite disjoint sets `s` and `t`, the product of `f i` over `i ∈ s ∪ t` equals the
product of `f i` over `i ∈ s` times the product of `f i` over `i ∈ t`. -/
@[to_additive "Given two finite disjoint sets `s` and `t`, the sum of `f i` over `i ∈ s ∪ t` equals
the sum of `f i` over `i ∈ s` plus the sum of `f i` over `i ∈ t`."]
lemma finprod_mem_union (hst : disjoint s t) (hs : s.finite) (ht : t.finite) :
∏ᶠ i ∈ s ∪ t, f i = (∏ᶠ i ∈ s, f i) * ∏ᶠ i ∈ t, f i :=
finprod_mem_union' hst (hs.inter_of_left _) (ht.inter_of_left _)
/-- A more general version of `finprod_mem_union'` that requires `s ∩ mul_support f` and
`t ∩ mul_support f` rather than `s` and `t` to be disjoint -/
@[to_additive "A more general version of `finsum_mem_union'` that requires `s ∩ support f` and
`t ∩ support f` rather than `s` and `t` to be disjoint"]
lemma finprod_mem_union'' (hst : disjoint (s ∩ mul_support f) (t ∩ mul_support f))
(hs : (s ∩ mul_support f).finite) (ht : (t ∩ mul_support f).finite) :
∏ᶠ i ∈ s ∪ t, f i = (∏ᶠ i ∈ s, f i) * ∏ᶠ i ∈ t, f i :=
by rw [← finprod_mem_inter_mul_support f s, ← finprod_mem_inter_mul_support f t,
← finprod_mem_union hst hs ht, ← union_inter_distrib_right, finprod_mem_inter_mul_support]
/-- The product of `f i` over `i ∈ {a}` equals `f a`. -/
@[to_additive "The sum of `f i` over `i ∈ {a}` equals `f a`."]
lemma finprod_mem_singleton : ∏ᶠ i ∈ ({a} : set α), f i = f a :=
by rw [← finset.coe_singleton, finprod_mem_coe_finset, finset.prod_singleton]
@[simp, to_additive] lemma finprod_cond_eq_left : ∏ᶠ i = a, f i = f a :=
finprod_mem_singleton
@[simp, to_additive] lemma finprod_cond_eq_right : ∏ᶠ i (hi : a = i), f i = f a :=
by simp [@eq_comm _ a]
/-- A more general version of `finprod_mem_insert` that requires `s ∩ mul_support f` rather than `s`
to be finite. -/
@[to_additive "A more general version of `finsum_mem_insert` that requires `s ∩ support f` rather
than `s` to be finite."]
lemma finprod_mem_insert' (f : α → M) (h : a ∉ s) (hs : (s ∩ mul_support f).finite) :
∏ᶠ i ∈ insert a s, f i = f a * ∏ᶠ i ∈ s, f i :=
begin
rw [insert_eq, finprod_mem_union' _ _ hs, finprod_mem_singleton],
{ rwa disjoint_singleton_left },
{ exact (finite_singleton a).inter_of_left _ }
end
/-- Given a finite set `s` and an element `a ∉ s`, the product of `f i` over `i ∈ insert a s` equals
`f a` times the product of `f i` over `i ∈ s`. -/
@[to_additive "Given a finite set `s` and an element `a ∉ s`, the sum of `f i` over `i ∈ insert a s`
equals `f a` plus the sum of `f i` over `i ∈ s`."]
lemma finprod_mem_insert (f : α → M) (h : a ∉ s) (hs : s.finite) :
∏ᶠ i ∈ insert a s, f i = f a * ∏ᶠ i ∈ s, f i :=
finprod_mem_insert' f h $ hs.inter_of_left _
/-- If `f a = 1` when `a ∉ s`, then the product of `f i` over `i ∈ insert a s` equals the product of
`f i` over `i ∈ s`. -/
@[to_additive "If `f a = 0` when `a ∉ s`, then the sum of `f i` over `i ∈ insert a s` equals the sum
of `f i` over `i ∈ s`."]
lemma finprod_mem_insert_of_eq_one_if_not_mem (h : a ∉ s → f a = 1) :
∏ᶠ i ∈ insert a s, f i = ∏ᶠ i ∈ s, f i :=
begin
refine finprod_mem_inter_mul_support_eq' _ _ _ (λ x hx, ⟨_, or.inr⟩),
rintro (rfl|hxs),
exacts [not_imp_comm.1 h hx, hxs]
end
/-- If `f a = 1`, then the product of `f i` over `i ∈ insert a s` equals the product of `f i` over
`i ∈ s`. -/
@[to_additive "If `f a = 0`, then the sum of `f i` over `i ∈ insert a s` equals the sum of `f i`
over `i ∈ s`."]
lemma finprod_mem_insert_one (h : f a = 1) : ∏ᶠ i ∈ insert a s, f i = ∏ᶠ i ∈ s, f i :=
finprod_mem_insert_of_eq_one_if_not_mem (λ _, h)
/-- If the multiplicative support of `f` is finite, then for every `x` in the domain of `f`, `f x`
divides `finprod f`. -/
lemma finprod_mem_dvd {f : α → N} (a : α) (hf : (mul_support f).finite) : f a ∣ finprod f :=
begin
by_cases ha : a ∈ mul_support f,
{ rw finprod_eq_prod_of_mul_support_to_finset_subset f hf (set.subset.refl _),
exact finset.dvd_prod_of_mem f ((finite.mem_to_finset hf).mpr ha) },
{ rw nmem_mul_support.mp ha,
exact one_dvd (finprod f) }
end
/-- The product of `f i` over `i ∈ {a, b}`, `a ≠ b`, is equal to `f a * f b`. -/
@[to_additive "The sum of `f i` over `i ∈ {a, b}`, `a ≠ b`, is equal to `f a + f b`."]
lemma finprod_mem_pair (h : a ≠ b) : ∏ᶠ i ∈ ({a, b} : set α), f i = f a * f b :=
by { rw [finprod_mem_insert, finprod_mem_singleton], exacts [h, finite_singleton b] }
/-- The product of `f y` over `y ∈ g '' s` equals the product of `f (g i)` over `s`
provided that `g` is injective on `s ∩ mul_support (f ∘ g)`. -/
@[to_additive "The sum of `f y` over `y ∈ g '' s` equals the sum of `f (g i)` over `s` provided that
`g` is injective on `s ∩ support (f ∘ g)`."]
lemma finprod_mem_image' {s : set β} {g : β → α} (hg : (s ∩ mul_support (f ∘ g)).inj_on g) :
∏ᶠ i ∈ g '' s, f i = ∏ᶠ j ∈ s, f (g j) :=
begin
classical,
by_cases hs : (s ∩ mul_support (f ∘ g)).finite,
{ have hg : ∀ (x ∈ hs.to_finset) (y ∈ hs.to_finset), g x = g y → x = y,
by simpa only [hs.mem_to_finset],
rw [finprod_mem_eq_prod _ hs, ← finset.prod_image hg],
refine finprod_mem_eq_prod_of_inter_mul_support_eq f _,
rw [finset.coe_image, hs.coe_to_finset, ← image_inter_mul_support_eq, inter_assoc,
inter_self] },
{ rw [finprod_mem_eq_one_of_infinite hs, finprod_mem_eq_one_of_infinite],
rwa [image_inter_mul_support_eq, infinite_image_iff hg] }
end
/-- The product of `f y` over `y ∈ g '' s` equals the product of `f (g i)` over `s` provided that
`g` is injective on `s`. -/
@[to_additive "The sum of `f y` over `y ∈ g '' s` equals the sum of `f (g i)` over `s` provided that
`g` is injective on `s`."]
lemma finprod_mem_image {s : set β} {g : β → α} (hg : s.inj_on g) :
∏ᶠ i ∈ g '' s, f i = ∏ᶠ j ∈ s, f (g j) :=
finprod_mem_image' $ hg.mono $ inter_subset_left _ _
/-- The product of `f y` over `y ∈ set.range g` equals the product of `f (g i)` over all `i`
provided that `g` is injective on `mul_support (f ∘ g)`. -/
@[to_additive "The sum of `f y` over `y ∈ set.range g` equals the sum of `f (g i)` over all `i`
provided that `g` is injective on `support (f ∘ g)`."]
lemma finprod_mem_range' {g : β → α} (hg : (mul_support (f ∘ g)).inj_on g) :
∏ᶠ i ∈ range g, f i = ∏ᶠ j, f (g j) :=
begin
rw [← image_univ, finprod_mem_image', finprod_mem_univ],
rwa univ_inter
end
/-- The product of `f y` over `y ∈ set.range g` equals the product of `f (g i)` over all `i`
provided that `g` is injective. -/
@[to_additive "The sum of `f y` over `y ∈ set.range g` equals the sum of `f (g i)` over all `i`
provided that `g` is injective."]
lemma finprod_mem_range {g : β → α} (hg : injective g) : ∏ᶠ i ∈ range g, f i = ∏ᶠ j, f (g j) :=
finprod_mem_range' (hg.inj_on _)
/-- See also `finset.prod_bij`. -/
@[to_additive "See also `finset.sum_bij`."]
lemma finprod_mem_eq_of_bij_on {s : set α} {t : set β} {f : α → M} {g : β → M} (e : α → β)
(he₀ : s.bij_on e t) (he₁ : ∀ x ∈ s, f x = g (e x)) :
∏ᶠ i ∈ s, f i = ∏ᶠ j ∈ t, g j :=
begin
rw [← set.bij_on.image_eq he₀, finprod_mem_image he₀.2.1],
exact finprod_mem_congr rfl he₁
end
/-- See `finprod_comp`, `fintype.prod_bijective` and `finset.prod_bij`. -/
@[to_additive "See `finsum_comp`, `fintype.sum_bijective` and `finset.sum_bij`."]
lemma finprod_eq_of_bijective {f : α → M} {g : β → M} (e : α → β) (he₀ : bijective e)
(he₁ : ∀ x, f x = g (e x)) :
∏ᶠ i, f i = ∏ᶠ j, g j :=
begin
rw [← finprod_mem_univ f, ← finprod_mem_univ g],
exact finprod_mem_eq_of_bij_on _ (bijective_iff_bij_on_univ.mp he₀) (λ x _, he₁ x),
end
/-- See also `finprod_eq_of_bijective`, `fintype.prod_bijective` and `finset.prod_bij`. -/
@[to_additive "See also `finsum_eq_of_bijective`, `fintype.sum_bijective` and `finset.sum_bij`."]
lemma finprod_comp {g : β → M} (e : α → β) (he₀ : function.bijective e) :
∏ᶠ i, g (e i) = ∏ᶠ j, g j := finprod_eq_of_bijective e he₀ (λ x, rfl)
@[to_additive]
lemma finprod_comp_equiv (e : α ≃ β) {f : β → M} : ∏ᶠ i, f (e i) = ∏ᶠ i', f i' :=
finprod_comp e e.bijective
@[to_additive] lemma finprod_set_coe_eq_finprod_mem (s : set α) : ∏ᶠ j : s, f j = ∏ᶠ i ∈ s, f i :=
begin
rw [← finprod_mem_range, subtype.range_coe],
exact subtype.coe_injective
end
@[to_additive] lemma finprod_subtype_eq_finprod_cond (p : α → Prop) :
∏ᶠ j : subtype p, f j = ∏ᶠ i (hi : p i), f i :=
finprod_set_coe_eq_finprod_mem {i | p i}
@[to_additive] lemma finprod_mem_inter_mul_diff' (t : set α) (h : (s ∩ mul_support f).finite) :
(∏ᶠ i ∈ s ∩ t, f i) * ∏ᶠ i ∈ s \ t, f i = ∏ᶠ i ∈ s, f i :=
begin
rw [← finprod_mem_union', inter_union_diff],
rw disjoint_iff_inf_le,
exacts [λ x hx, hx.2.2 hx.1.2, h.subset (λ x hx, ⟨hx.1.1, hx.2⟩),
h.subset (λ x hx, ⟨hx.1.1, hx.2⟩)],
end
@[to_additive] lemma finprod_mem_inter_mul_diff (t : set α) (h : s.finite) :
(∏ᶠ i ∈ s ∩ t, f i) * ∏ᶠ i ∈ s \ t, f i = ∏ᶠ i ∈ s, f i :=
finprod_mem_inter_mul_diff' _ $ h.inter_of_left _
/-- A more general version of `finprod_mem_mul_diff` that requires `t ∩ mul_support f` rather than
`t` to be finite. -/
@[to_additive "A more general version of `finsum_mem_add_diff` that requires `t ∩ support f` rather
than `t` to be finite."]
lemma finprod_mem_mul_diff' (hst : s ⊆ t) (ht : (t ∩ mul_support f).finite) :
(∏ᶠ i ∈ s, f i) * ∏ᶠ i ∈ t \ s, f i = ∏ᶠ i ∈ t, f i :=
by rw [← finprod_mem_inter_mul_diff' _ ht, inter_eq_self_of_subset_right hst]
/-- Given a finite set `t` and a subset `s` of `t`, the product of `f i` over `i ∈ s`
times the product of `f i` over `t \ s` equals the product of `f i` over `i ∈ t`. -/
@[to_additive "Given a finite set `t` and a subset `s` of `t`, the sum of `f i` over `i ∈ s` plus
the sum of `f i` over `t \\ s` equals the sum of `f i` over `i ∈ t`."]
lemma finprod_mem_mul_diff (hst : s ⊆ t) (ht : t.finite) :
(∏ᶠ i ∈ s, f i) * ∏ᶠ i ∈ t \ s, f i = ∏ᶠ i ∈ t, f i :=
finprod_mem_mul_diff' hst (ht.inter_of_left _)
/-- Given a family of pairwise disjoint finite sets `t i` indexed by a finite type, the product of
`f a` over the union `⋃ i, t i` is equal to the product over all indexes `i` of the products of
`f a` over `a ∈ t i`. -/
@[to_additive "Given a family of pairwise disjoint finite sets `t i` indexed by a finite type, the
sum of `f a` over the union `⋃ i, t i` is equal to the sum over all indexes `i` of the sums of `f a`
over `a ∈ t i`."]
lemma finprod_mem_Union [finite ι] {t : ι → set α} (h : pairwise (disjoint on t))
(ht : ∀ i, (t i).finite) :
∏ᶠ a ∈ (⋃ i : ι, t i), f a = ∏ᶠ i, ∏ᶠ a ∈ t i, f a :=
begin
casesI nonempty_fintype ι,
lift t to ι → finset α using ht,
classical,
rw [← bUnion_univ, ← finset.coe_univ, ← finset.coe_bUnion,
finprod_mem_coe_finset, finset.prod_bUnion],
{ simp only [finprod_mem_coe_finset, finprod_eq_prod_of_fintype] },
{ exact λ x _ y _ hxy, finset.disjoint_coe.1 (h hxy) }
end
/-- Given a family of sets `t : ι → set α`, a finite set `I` in the index type such that all sets
`t i`, `i ∈ I`, are finite, if all `t i`, `i ∈ I`, are pairwise disjoint, then the product of `f a`
over `a ∈ ⋃ i ∈ I, t i` is equal to the product over `i ∈ I` of the products of `f a` over
`a ∈ t i`. -/
@[to_additive "Given a family of sets `t : ι → set α`, a finite set `I` in the index type such that
all sets `t i`, `i ∈ I`, are finite, if all `t i`, `i ∈ I`, are pairwise disjoint, then the sum of
`f a` over `a ∈ ⋃ i ∈ I, t i` is equal to the sum over `i ∈ I` of the sums of `f a` over
`a ∈ t i`."]
lemma finprod_mem_bUnion {I : set ι} {t : ι → set α} (h : I.pairwise_disjoint t) (hI : I.finite)
(ht : ∀ i ∈ I, (t i).finite) :
∏ᶠ a ∈ ⋃ x ∈ I, t x, f a = ∏ᶠ i ∈ I, ∏ᶠ j ∈ t i, f j :=
begin
haveI := hI.fintype,
rw [bUnion_eq_Union, finprod_mem_Union, ← finprod_set_coe_eq_finprod_mem],
exacts [λ x y hxy, h x.2 y.2 (subtype.coe_injective.ne hxy), λ b, ht b b.2]
end
/-- If `t` is a finite set of pairwise disjoint finite sets, then the product of `f a`
over `a ∈ ⋃₀ t` is the product over `s ∈ t` of the products of `f a` over `a ∈ s`. -/
@[to_additive "If `t` is a finite set of pairwise disjoint finite sets, then the sum of `f a` over
`a ∈ ⋃₀ t` is the sum over `s ∈ t` of the sums of `f a` over `a ∈ s`."]
lemma finprod_mem_sUnion {t : set (set α)} (h : t.pairwise_disjoint id) (ht₀ : t.finite)
(ht₁ : ∀ x ∈ t, set.finite x) :
∏ᶠ a ∈ ⋃₀ t, f a = ∏ᶠ s ∈ t, ∏ᶠ a ∈ s, f a :=
by { rw set.sUnion_eq_bUnion, exact finprod_mem_bUnion h ht₀ ht₁ }
@[to_additive] lemma mul_finprod_cond_ne (a : α) (hf : (mul_support f).finite) :
f a * (∏ᶠ i ≠ a, f i) = ∏ᶠ i, f i :=
begin
classical,
rw [finprod_eq_prod _ hf],
have h : ∀ x : α, f x ≠ 1 → (x ≠ a ↔ x ∈ hf.to_finset \ {a}),
{ intros x hx,
rw [finset.mem_sdiff, finset.mem_singleton, finite.mem_to_finset, mem_mul_support],
exact ⟨λ h, and.intro hx h, λ h, h.2⟩,},
rw [finprod_cond_eq_prod_of_cond_iff f h, finset.sdiff_singleton_eq_erase],
by_cases ha : a ∈ mul_support f,
{ apply finset.mul_prod_erase _ _ ((finite.mem_to_finset _ ).mpr ha), },
{ rw [mem_mul_support, not_not] at ha,
rw [ha, one_mul],
apply finset.prod_erase _ ha, }
end
/-- If `s : set α` and `t : set β` are finite sets, then taking the product over `s` commutes with
taking the product over `t`. -/
@[to_additive "If `s : set α` and `t : set β` are finite sets, then summing over `s` commutes with
summing over `t`."]
lemma finprod_mem_comm {s : set α} {t : set β} (f : α → β → M) (hs : s.finite) (ht : t.finite) :
∏ᶠ i ∈ s, ∏ᶠ j ∈ t, f i j = ∏ᶠ j ∈ t, ∏ᶠ i ∈ s, f i j :=
begin
lift s to finset α using hs, lift t to finset β using ht,
simp only [finprod_mem_coe_finset],
exact finset.prod_comm
end
/-- To prove a property of a finite product, it suffices to prove that the property is
multiplicative and holds on factors. -/
@[to_additive "To prove a property of a finite sum, it suffices to prove that the property is
additive and holds on summands."] lemma finprod_mem_induction (p : M → Prop) (hp₀ : p 1)
(hp₁ : ∀ x y, p x → p y → p (x * y)) (hp₂ : ∀ x ∈ s, p $ f x) :
p (∏ᶠ i ∈ s, f i) :=
finprod_induction _ hp₀ hp₁ $ λ x, finprod_induction _ hp₀ hp₁ $ hp₂ x
lemma finprod_cond_nonneg {R : Type*} [ordered_comm_semiring R] {p : α → Prop} {f : α → R}
(hf : ∀ x, p x → 0 ≤ f x) :
0 ≤ ∏ᶠ x (h : p x), f x :=
finprod_nonneg $ λ x, finprod_nonneg $ hf x
@[to_additive]
lemma single_le_finprod {M : Type*} [ordered_comm_monoid M] (i : α) {f : α → M}
(hf : (mul_support f).finite) (h : ∀ j, 1 ≤ f j) :
f i ≤ ∏ᶠ j, f j :=
by classical;
calc f i ≤ ∏ j in insert i hf.to_finset, f j :
finset.single_le_prod' (λ j hj, h j) (finset.mem_insert_self _ _)
... = ∏ᶠ j, f j :
(finprod_eq_prod_of_mul_support_to_finset_subset _ hf (finset.subset_insert _ _)).symm
lemma finprod_eq_zero {M₀ : Type*} [comm_monoid_with_zero M₀] (f : α → M₀) (x : α)
(hx : f x = 0) (hf : (mul_support f).finite) :
∏ᶠ x, f x = 0 :=
begin
nontriviality,
rw [finprod_eq_prod f hf],
refine finset.prod_eq_zero (hf.mem_to_finset.2 _) hx,
simp [hx]
end
@[to_additive] lemma finprod_prod_comm (s : finset β) (f : α → β → M)
(h : ∀ b ∈ s, (mul_support (λ a, f a b)).finite) :
∏ᶠ a : α, ∏ b in s, f a b = ∏ b in s, ∏ᶠ a : α, f a b :=
begin
have hU : mul_support (λ a, ∏ b in s, f a b) ⊆
(s.finite_to_set.bUnion (λ b hb, h b (finset.mem_coe.1 hb))).to_finset,
{ rw finite.coe_to_finset,
intros x hx,
simp only [exists_prop, mem_Union, ne.def, mem_mul_support, finset.mem_coe],
contrapose! hx,
rw [mem_mul_support, not_not, finset.prod_congr rfl hx, finset.prod_const_one] },
rw [finprod_eq_prod_of_mul_support_subset _ hU, finset.prod_comm],
refine finset.prod_congr rfl (λ b hb, (finprod_eq_prod_of_mul_support_subset _ _).symm),
intros a ha,
simp only [finite.coe_to_finset, mem_Union],
exact ⟨b, hb, ha⟩
end
@[to_additive] lemma prod_finprod_comm (s : finset α) (f : α → β → M)
(h : ∀ a ∈ s, (mul_support (f a)).finite) :
∏ a in s, ∏ᶠ b : β, f a b = ∏ᶠ b : β, ∏ a in s, f a b :=
(finprod_prod_comm s (λ b a, f a b) h).symm
lemma mul_finsum {R : Type*} [semiring R] (f : α → R) (r : R) (h : (support f).finite) :
r * ∑ᶠ a : α, f a = ∑ᶠ a : α, r * f a :=
(add_monoid_hom.mul_left r).map_finsum h
lemma finsum_mul {R : Type*} [semiring R] (f : α → R) (r : R) (h : (support f).finite) :
(∑ᶠ a : α, f a) * r = ∑ᶠ a : α, f a * r :=
(add_monoid_hom.mul_right r).map_finsum h
@[to_additive] lemma finset.mul_support_of_fiberwise_prod_subset_image [decidable_eq β]
(s : finset α) (f : α → M) (g : α → β) :
mul_support (λ b, (s.filter (λ a, g a = b)).prod f) ⊆ s.image g :=
begin
simp only [finset.coe_image, set.mem_image, finset.mem_coe, function.support_subset_iff],
intros b h,
suffices : (s.filter (λ (a : α), g a = b)).nonempty,
{ simpa only [s.fiber_nonempty_iff_mem_image g b, finset.mem_image, exists_prop], },
exact finset.nonempty_of_prod_ne_one h,
end
/-- Note that `b ∈ (s.filter (λ ab, prod.fst ab = a)).image prod.snd` iff `(a, b) ∈ s` so we can
simplify the right hand side of this lemma. However the form stated here is more useful for
iterating this lemma, e.g., if we have `f : α × β × γ → M`. -/
@[to_additive "Note that `b ∈ (s.filter (λ ab, prod.fst ab = a)).image prod.snd` iff `(a, b) ∈ s` so
we can simplify the right hand side of this lemma. However the form stated here is more useful for
iterating this lemma, e.g., if we have `f : α × β × γ → M`."]
lemma finprod_mem_finset_product' [decidable_eq α] [decidable_eq β]
(s : finset (α × β)) (f : α × β → M) :
∏ᶠ ab (h : ab ∈ s), f ab =
∏ᶠ a b (h : b ∈ (s.filter (λ ab, prod.fst ab = a)).image prod.snd), f (a, b) :=
begin
have : ∀ a, ∏ (i : β) in (s.filter (λ ab, prod.fst ab = a)).image prod.snd, f (a, i) =
(finset.filter (λ ab, prod.fst ab = a) s).prod f,
{ refine (λ a, finset.prod_bij (λ b _, (a, b)) _ _ _ _); -- `finish` closes these goals
try { simp, done },
suffices : ∀ a' b, (a', b) ∈ s → a' = a → (a, b) ∈ s ∧ a' = a, by simpa,
rintros a' b hp rfl,
exact ⟨hp, rfl⟩ },
rw finprod_mem_finset_eq_prod,
simp_rw [finprod_mem_finset_eq_prod, this],
rw [finprod_eq_prod_of_mul_support_subset _
(s.mul_support_of_fiberwise_prod_subset_image f prod.fst),
← finset.prod_fiberwise_of_maps_to _ f], -- `finish` could close the goal here
simp only [finset.mem_image, prod.mk.eta],
exact λ x hx, ⟨x, hx, rfl⟩,
end
/-- See also `finprod_mem_finset_product'`. -/
@[to_additive "See also `finsum_mem_finset_product'`."]
lemma finprod_mem_finset_product (s : finset (α × β)) (f : α × β → M) :
∏ᶠ ab (h : ab ∈ s), f ab = ∏ᶠ a b (h : (a, b) ∈ s), f (a, b) :=
by { classical, rw finprod_mem_finset_product', simp, }
@[to_additive] lemma finprod_mem_finset_product₃ {γ : Type*}
(s : finset (α × β × γ)) (f : α × β × γ → M) :
∏ᶠ abc (h : abc ∈ s), f abc = ∏ᶠ a b c (h : (a, b, c) ∈ s), f (a, b, c) :=
by { classical, rw finprod_mem_finset_product', simp_rw finprod_mem_finset_product', simp, }
@[to_additive] lemma finprod_curry (f : α × β → M) (hf : (mul_support f).finite) :
∏ᶠ ab, f ab = ∏ᶠ a b, f (a, b) :=
begin
have h₁ : ∀ a, ∏ᶠ (h : a ∈ hf.to_finset), f a = f a, { simp, },
have h₂ : ∏ᶠ a, f a = ∏ᶠ a (h : a ∈ hf.to_finset), f a, { simp, },
simp_rw [h₂, finprod_mem_finset_product, h₁],
end
@[to_additive] lemma finprod_curry₃ {γ : Type*} (f : α × β × γ → M) (h : (mul_support f).finite) :
∏ᶠ abc, f abc = ∏ᶠ a b c, f (a, b, c) :=
by { rw finprod_curry f h, congr, ext a, rw finprod_curry, simp [h], }
@[to_additive]
lemma finprod_dmem {s : set α} [decidable_pred (∈ s)] (f : (Π (a : α), a ∈ s → M)) :
∏ᶠ (a : α) (h : a ∈ s), f a h = ∏ᶠ (a : α) (h : a ∈ s), if h' : a ∈ s then f a h' else 1 :=
finprod_congr (λ a, finprod_congr (λ ha, (dif_pos ha).symm))
@[to_additive]
lemma finprod_emb_domain' {f : α → β} (hf : injective f) [decidable_pred (∈ set.range f)]
(g : α → M) :
∏ᶠ (b : β), (if h : b ∈ set.range f then g (classical.some h) else 1) = ∏ᶠ (a : α), g a :=
begin
simp_rw [← finprod_eq_dif],
rw [finprod_dmem, finprod_mem_range hf, finprod_congr (λ a, _)],
rw [dif_pos (set.mem_range_self a), hf (classical.some_spec (set.mem_range_self a))]
end
@[to_additive]
lemma finprod_emb_domain (f : α ↪ β) [decidable_pred (∈ set.range f)] (g : α → M) :
∏ᶠ (b : β), (if h : b ∈ set.range f then g (classical.some h) else 1) = ∏ᶠ (a : α), g a :=
finprod_emb_domain' f.injective g
end type
|
b4c0dc3ec2ae1d65737c5d75e3f4fa037ae6d0ab | 57c233acf9386e610d99ed20ef139c5f97504ba3 | /src/analysis/mean_inequalities.lean | ef7084f339b1a29a2273431432ecc253a4d30b19 | [
"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 | 36,760 | lean | /-
Copyright (c) 2019 Yury Kudryashov. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yury Kudryashov, Sébastien Gouëzel, Rémy Degenne
-/
import analysis.convex.specific_functions
import data.real.conjugate_exponents
/-!
# Mean value inequalities
In this file we prove several inequalities for finite sums, including AM-GM inequality,
Young's inequality, Hölder inequality, and Minkowski inequality. Versions for integrals of some of
these inequalities are available in `measure_theory.mean_inequalities`.
## Main theorems
### AM-GM inequality:
The inequality says that the geometric mean of a tuple of non-negative numbers is less than or equal
to their arithmetic mean. We prove the weighted version of this inequality: if $w$ and $z$
are two non-negative vectors and $\sum_{i\in s} w_i=1$, then
$$
\prod_{i\in s} z_i^{w_i} ≤ \sum_{i\in s} w_iz_i.
$$
The classical version is a special case of this inequality for $w_i=\frac{1}{n}$.
We prove a few versions of this inequality. Each of the following lemmas comes in two versions:
a version for real-valued non-negative functions is in the `real` namespace, and a version for
`nnreal`-valued functions is in the `nnreal` namespace.
- `geom_mean_le_arith_mean_weighted` : weighted version for functions on `finset`s;
- `geom_mean_le_arith_mean2_weighted` : weighted version for two numbers;
- `geom_mean_le_arith_mean3_weighted` : weighted version for three numbers;
- `geom_mean_le_arith_mean4_weighted` : weighted version for four numbers.
### Young's inequality
Young's inequality says that for non-negative numbers `a`, `b`, `p`, `q` such that
$\frac{1}{p}+\frac{1}{q}=1$ we have
$$
ab ≤ \frac{a^p}{p} + \frac{b^q}{q}.
$$
This inequality is a special case of the AM-GM inequality. It is then used to prove Hölder's
inequality (see below).
### Hölder's inequality
The inequality says that for two conjugate exponents `p` and `q` (i.e., for two positive numbers
such that $\frac{1}{p}+\frac{1}{q}=1$) and any two non-negative vectors their inner product is
less than or equal to the product of the $L_p$ norm of the first vector and the $L_q$ norm of the
second vector:
$$
\sum_{i\in s} a_ib_i ≤ \sqrt[p]{\sum_{i\in s} a_i^p}\sqrt[q]{\sum_{i\in s} b_i^q}.
$$
We give versions of this result in `ℝ`, `ℝ≥0` and `ℝ≥0∞`.
There are at least two short proofs of this inequality. In our proof we prenormalize both vectors,
then apply Young's inequality to each $a_ib_i$. Another possible proof would be to deduce this
inequality from the generalized mean inequality for well-chosen vectors and weights.
### Minkowski's inequality
The inequality says that for `p ≥ 1` the function
$$
\|a\|_p=\sqrt[p]{\sum_{i\in s} a_i^p}
$$
satisfies the triangle inequality $\|a+b\|_p\le \|a\|_p+\|b\|_p$.
We give versions of this result in `real`, `ℝ≥0` and `ℝ≥0∞`.
We deduce this inequality from Hölder's inequality. Namely, Hölder inequality implies that $\|a\|_p$
is the maximum of the inner product $\sum_{i\in s}a_ib_i$ over `b` such that $\|b\|_q\le 1$. Now
Minkowski's inequality follows from the fact that the maximum value of the sum of two functions is
less than or equal to the sum of the maximum values of the summands.
## TODO
- each inequality `A ≤ B` should come with a theorem `A = B ↔ _`; one of the ways to prove them
is to define `strict_convex_on` functions.
- generalized mean inequality with any `p ≤ q`, including negative numbers;
- prove that the power mean tends to the geometric mean as the exponent tends to zero.
-/
universes u v
open finset
open_locale classical big_operators nnreal ennreal
noncomputable theory
variables {ι : Type u} (s : finset ι)
section geom_mean_le_arith_mean
/-! ### AM-GM inequality -/
namespace real
/-- AM-GM inequality: the **geometric mean is less than or equal to the arithmetic mean**, weighted
version for real-valued nonnegative functions. -/
theorem geom_mean_le_arith_mean_weighted (w z : ι → ℝ) (hw : ∀ i ∈ s, 0 ≤ w i)
(hw' : ∑ i in s, w i = 1) (hz : ∀ i ∈ s, 0 ≤ z i) :
(∏ i in s, (z i) ^ (w i)) ≤ ∑ i in s, w i * z i :=
begin
-- If some number `z i` equals zero and has non-zero weight, then LHS is 0 and RHS is nonnegative.
by_cases A : ∃ i ∈ s, z i = 0 ∧ w i ≠ 0,
{ rcases A with ⟨i, his, hzi, hwi⟩,
rw [prod_eq_zero his],
{ exact sum_nonneg (λ j hj, mul_nonneg (hw j hj) (hz j hj)) },
{ rw hzi, exact zero_rpow hwi } },
-- If all numbers `z i` with non-zero weight are positive, then we apply Jensen's inequality
-- for `exp` and numbers `log (z i)` with weights `w i`.
{ simp only [not_exists, not_and, ne.def, not_not] at A,
have := convex_on_exp.map_sum_le hw hw' (λ i _, set.mem_univ $ log (z i)),
simp only [exp_sum, (∘), smul_eq_mul, mul_comm (w _) (log _)] at this,
convert this using 1; [apply prod_congr rfl, apply sum_congr rfl]; intros i hi,
{ cases eq_or_lt_of_le (hz i hi) with hz hz,
{ simp [A i hi hz.symm] },
{ exact rpow_def_of_pos hz _ } },
{ cases eq_or_lt_of_le (hz i hi) with hz hz,
{ simp [A i hi hz.symm] },
{ rw [exp_log hz] } } }
end
end real
namespace nnreal
/-- The geometric mean is less than or equal to the arithmetic mean, weighted version
for `nnreal`-valued functions. -/
theorem geom_mean_le_arith_mean_weighted (w z : ι → ℝ≥0) (hw' : ∑ i in s, w i = 1) :
(∏ i in s, (z i) ^ (w i:ℝ)) ≤ ∑ i in s, w i * z i :=
by exact_mod_cast real.geom_mean_le_arith_mean_weighted _ _ _ (λ i _, (w i).coe_nonneg)
(by assumption_mod_cast) (λ i _, (z i).coe_nonneg)
/-- The geometric mean is less than or equal to the arithmetic mean, weighted version
for two `nnreal` numbers. -/
theorem geom_mean_le_arith_mean2_weighted (w₁ w₂ p₁ p₂ : ℝ≥0) :
w₁ + w₂ = 1 → p₁ ^ (w₁:ℝ) * p₂ ^ (w₂:ℝ) ≤ w₁ * p₁ + w₂ * p₂ :=
by simpa only [fin.prod_univ_succ, fin.sum_univ_succ, finset.prod_empty, finset.sum_empty,
fintype.univ_of_is_empty, fin.cons_succ, fin.cons_zero, add_zero, mul_one]
using geom_mean_le_arith_mean_weighted univ ![w₁, w₂] ![p₁, p₂]
theorem geom_mean_le_arith_mean3_weighted (w₁ w₂ w₃ p₁ p₂ p₃ : ℝ≥0) :
w₁ + w₂ + w₃ = 1 → p₁ ^ (w₁:ℝ) * p₂ ^ (w₂:ℝ) * p₃ ^ (w₃:ℝ) ≤ w₁ * p₁ + w₂ * p₂ + w₃ * p₃ :=
by simpa only [fin.prod_univ_succ, fin.sum_univ_succ, finset.prod_empty, finset.sum_empty,
fintype.univ_of_is_empty, fin.cons_succ, fin.cons_zero, add_zero, mul_one, ← add_assoc, mul_assoc]
using geom_mean_le_arith_mean_weighted univ ![w₁, w₂, w₃] ![p₁, p₂, p₃]
theorem geom_mean_le_arith_mean4_weighted (w₁ w₂ w₃ w₄ p₁ p₂ p₃ p₄ : ℝ≥0) :
w₁ + w₂ + w₃ + w₄ = 1 → p₁ ^ (w₁:ℝ) * p₂ ^ (w₂:ℝ) * p₃ ^ (w₃:ℝ)* p₄ ^ (w₄:ℝ) ≤
w₁ * p₁ + w₂ * p₂ + w₃ * p₃ + w₄ * p₄ :=
by simpa only [fin.prod_univ_succ, fin.sum_univ_succ, finset.prod_empty, finset.sum_empty,
fintype.univ_of_is_empty, fin.cons_succ, fin.cons_zero, add_zero, mul_one, ← add_assoc, mul_assoc]
using geom_mean_le_arith_mean_weighted univ ![w₁, w₂, w₃, w₄] ![p₁, p₂, p₃, p₄]
end nnreal
namespace real
theorem geom_mean_le_arith_mean2_weighted {w₁ w₂ p₁ p₂ : ℝ} (hw₁ : 0 ≤ w₁) (hw₂ : 0 ≤ w₂)
(hp₁ : 0 ≤ p₁) (hp₂ : 0 ≤ p₂) (hw : w₁ + w₂ = 1) :
p₁ ^ w₁ * p₂ ^ w₂ ≤ w₁ * p₁ + w₂ * p₂ :=
nnreal.geom_mean_le_arith_mean2_weighted ⟨w₁, hw₁⟩ ⟨w₂, hw₂⟩ ⟨p₁, hp₁⟩ ⟨p₂, hp₂⟩ $
nnreal.coe_eq.1 $ by assumption
theorem geom_mean_le_arith_mean3_weighted {w₁ w₂ w₃ p₁ p₂ p₃ : ℝ} (hw₁ : 0 ≤ w₁) (hw₂ : 0 ≤ w₂)
(hw₃ : 0 ≤ w₃) (hp₁ : 0 ≤ p₁) (hp₂ : 0 ≤ p₂) (hp₃ : 0 ≤ p₃) (hw : w₁ + w₂ + w₃ = 1) :
p₁ ^ w₁ * p₂ ^ w₂ * p₃ ^ w₃ ≤ w₁ * p₁ + w₂ * p₂ + w₃ * p₃ :=
nnreal.geom_mean_le_arith_mean3_weighted
⟨w₁, hw₁⟩ ⟨w₂, hw₂⟩ ⟨w₃, hw₃⟩ ⟨p₁, hp₁⟩ ⟨p₂, hp₂⟩ ⟨p₃, hp₃⟩ $ nnreal.coe_eq.1 hw
theorem geom_mean_le_arith_mean4_weighted {w₁ w₂ w₃ w₄ p₁ p₂ p₃ p₄ : ℝ} (hw₁ : 0 ≤ w₁)
(hw₂ : 0 ≤ w₂) (hw₃ : 0 ≤ w₃) (hw₄ : 0 ≤ w₄) (hp₁ : 0 ≤ p₁) (hp₂ : 0 ≤ p₂) (hp₃ : 0 ≤ p₃)
(hp₄ : 0 ≤ p₄) (hw : w₁ + w₂ + w₃ + w₄ = 1) :
p₁ ^ w₁ * p₂ ^ w₂ * p₃ ^ w₃ * p₄ ^ w₄ ≤ w₁ * p₁ + w₂ * p₂ + w₃ * p₃ + w₄ * p₄ :=
nnreal.geom_mean_le_arith_mean4_weighted ⟨w₁, hw₁⟩ ⟨w₂, hw₂⟩ ⟨w₃, hw₃⟩ ⟨w₄, hw₄⟩
⟨p₁, hp₁⟩ ⟨p₂, hp₂⟩ ⟨p₃, hp₃⟩ ⟨p₄, hp₄⟩ $ nnreal.coe_eq.1 $ by assumption
end real
end geom_mean_le_arith_mean
section young
/-! ### Young's inequality -/
namespace real
/-- Young's inequality, a version for nonnegative real numbers. -/
theorem young_inequality_of_nonneg {a b p q : ℝ} (ha : 0 ≤ a) (hb : 0 ≤ b)
(hpq : p.is_conjugate_exponent q) :
a * b ≤ a^p / p + b^q / q :=
by simpa [← rpow_mul, ha, hb, hpq.ne_zero, hpq.symm.ne_zero, div_eq_inv_mul]
using geom_mean_le_arith_mean2_weighted hpq.one_div_nonneg hpq.symm.one_div_nonneg
(rpow_nonneg_of_nonneg ha p) (rpow_nonneg_of_nonneg hb q) hpq.inv_add_inv_conj
/-- Young's inequality, a version for arbitrary real numbers. -/
theorem young_inequality (a b : ℝ) {p q : ℝ} (hpq : p.is_conjugate_exponent q) :
a * b ≤ |a|^p / p + |b|^q / q :=
calc a * b ≤ |a * b| : le_abs_self (a * b)
... = |a| * |b| : abs_mul a b
... ≤ |a|^p / p + |b|^q / q :
real.young_inequality_of_nonneg (abs_nonneg a) (abs_nonneg b) hpq
end real
namespace nnreal
/-- Young's inequality, `ℝ≥0` version. We use `{p q : ℝ≥0}` in order to avoid constructing
witnesses of `0 ≤ p` and `0 ≤ q` for the denominators. -/
theorem young_inequality (a b : ℝ≥0) {p q : ℝ≥0} (hp : 1 < p) (hpq : 1 / p + 1 / q = 1) :
a * b ≤ a^(p:ℝ) / p + b^(q:ℝ) / q :=
real.young_inequality_of_nonneg a.coe_nonneg b.coe_nonneg ⟨hp, nnreal.coe_eq.2 hpq⟩
/-- Young's inequality, `ℝ≥0` version with real conjugate exponents. -/
theorem young_inequality_real (a b : ℝ≥0) {p q : ℝ} (hpq : p.is_conjugate_exponent q) :
a * b ≤ a ^ p / real.to_nnreal p + b ^ q / real.to_nnreal q :=
begin
nth_rewrite 0 ← real.coe_to_nnreal p hpq.nonneg,
nth_rewrite 0 ← real.coe_to_nnreal q hpq.symm.nonneg,
exact young_inequality a b hpq.one_lt_nnreal hpq.inv_add_inv_conj_nnreal,
end
end nnreal
namespace ennreal
/-- Young's inequality, `ℝ≥0∞` version with real conjugate exponents. -/
theorem young_inequality (a b : ℝ≥0∞) {p q : ℝ} (hpq : p.is_conjugate_exponent q) :
a * b ≤ a ^ p / ennreal.of_real p + b ^ q / ennreal.of_real q :=
begin
by_cases h : a = ⊤ ∨ b = ⊤,
{ refine le_trans le_top (le_of_eq _),
repeat { rw div_eq_mul_inv },
cases h; rw h; simp [h, hpq.pos, hpq.symm.pos], },
push_neg at h, -- if a ≠ ⊤ and b ≠ ⊤, use the nnreal version: nnreal.young_inequality_real
rw [←coe_to_nnreal h.left, ←coe_to_nnreal h.right, ←coe_mul,
coe_rpow_of_nonneg _ hpq.nonneg, coe_rpow_of_nonneg _ hpq.symm.nonneg, ennreal.of_real,
ennreal.of_real, ←@coe_div (real.to_nnreal p) _ (by simp [hpq.pos]),
←@coe_div (real.to_nnreal q) _ (by simp [hpq.symm.pos]), ←coe_add, coe_le_coe],
exact nnreal.young_inequality_real a.to_nnreal b.to_nnreal hpq,
end
end ennreal
end young
section holder_minkowski
/-! ### Hölder's and Minkowski's inequalities -/
namespace nnreal
private lemma inner_le_Lp_mul_Lp_of_norm_le_one (f g : ι → ℝ≥0) {p q : ℝ}
(hpq : p.is_conjugate_exponent q) (hf : ∑ i in s, (f i) ^ p ≤ 1) (hg : ∑ i in s, (g i) ^ q ≤ 1) :
∑ i in s, f i * g i ≤ 1 :=
begin
have hp_ne_zero : real.to_nnreal p ≠ 0, from (zero_lt_one.trans hpq.one_lt_nnreal).ne.symm,
have hq_ne_zero : real.to_nnreal q ≠ 0, from (zero_lt_one.trans hpq.symm.one_lt_nnreal).ne.symm,
calc ∑ i in s, f i * g i
≤ ∑ i in s, ((f i) ^ p / real.to_nnreal p + (g i) ^ q / real.to_nnreal q) :
finset.sum_le_sum (λ i his, young_inequality_real (f i) (g i) hpq)
... = (∑ i in s, (f i) ^ p) / real.to_nnreal p + (∑ i in s, (g i) ^ q) / real.to_nnreal q :
by rw [sum_add_distrib, sum_div, sum_div]
... ≤ 1 / real.to_nnreal p + 1 / real.to_nnreal q :
by { refine add_le_add _ _,
{ rwa [div_le_iff hp_ne_zero, div_mul_cancel _ hp_ne_zero], },
{ rwa [div_le_iff hq_ne_zero, div_mul_cancel _ hq_ne_zero], }, }
... = 1 : hpq.inv_add_inv_conj_nnreal,
end
private lemma inner_le_Lp_mul_Lp_of_norm_eq_zero (f g : ι → ℝ≥0) {p q : ℝ}
(hpq : p.is_conjugate_exponent q) (hf : ∑ i in s, (f i) ^ p = 0) :
∑ i in s, f i * g i ≤ (∑ i in s, (f i) ^ p) ^ (1 / p) * (∑ i in s, (g i) ^ q) ^ (1 / q) :=
begin
simp only [hf, hpq.ne_zero, one_div, sum_eq_zero_iff, zero_rpow, zero_mul, inv_eq_zero,
ne.def, not_false_iff, le_zero_iff, mul_eq_zero],
intros i his,
left,
rw sum_eq_zero_iff at hf,
exact (rpow_eq_zero_iff.mp (hf i his)).left,
end
/-- Hölder inequality: the scalar product of two functions is bounded by the product of their
`L^p` and `L^q` norms when `p` and `q` are conjugate exponents. Version for sums over finite sets,
with `ℝ≥0`-valued functions. -/
theorem inner_le_Lp_mul_Lq (f g : ι → ℝ≥0) {p q : ℝ}
(hpq : p.is_conjugate_exponent q) :
∑ i in s, f i * g i ≤ (∑ i in s, (f i) ^ p) ^ (1 / p) * (∑ i in s, (g i) ^ q) ^ (1 / q) :=
begin
by_cases hF_zero : ∑ i in s, (f i) ^ p = 0,
{ exact inner_le_Lp_mul_Lp_of_norm_eq_zero s f g hpq hF_zero, },
by_cases hG_zero : ∑ i in s, (g i) ^ q = 0,
{ calc ∑ i in s, f i * g i
= ∑ i in s, g i * f i : by { congr' with i, rw mul_comm, }
... ≤ (∑ i in s, (g i) ^ q) ^ (1 / q) * (∑ i in s, (f i) ^ p) ^ (1 / p) :
inner_le_Lp_mul_Lp_of_norm_eq_zero s g f hpq.symm hG_zero
... = (∑ i in s, (f i) ^ p) ^ (1 / p) * (∑ i in s, (g i) ^ q) ^ (1 / q) : mul_comm _ _, },
let f' := λ i, (f i) / (∑ i in s, (f i) ^ p) ^ (1 / p),
let g' := λ i, (g i) / (∑ i in s, (g i) ^ q) ^ (1 / q),
suffices : ∑ i in s, f' i * g' i ≤ 1,
{ simp_rw [f', g', div_mul_div, ← sum_div] at this,
rwa [div_le_iff, one_mul] at this,
refine mul_ne_zero _ _,
{ rw [ne.def, rpow_eq_zero_iff, not_and_distrib], exact or.inl hF_zero, },
{ rw [ne.def, rpow_eq_zero_iff, not_and_distrib], exact or.inl hG_zero, }, },
refine inner_le_Lp_mul_Lp_of_norm_le_one s f' g' hpq (le_of_eq _) (le_of_eq _),
{ simp_rw [f', div_rpow, ← sum_div, ← rpow_mul, one_div, inv_mul_cancel hpq.ne_zero, rpow_one,
div_self hF_zero], },
{ simp_rw [g', div_rpow, ← sum_div, ← rpow_mul, one_div, inv_mul_cancel hpq.symm.ne_zero,
rpow_one, div_self hG_zero], },
end
/-- Hölder inequality: the scalar product of two functions is bounded by the product of their
`L^p` and `L^q` norms when `p` and `q` are conjugate exponents. A version for `nnreal`-valued
functions. For an alternative version, convenient if the infinite sums are already expressed as
`p`-th powers, see `inner_le_Lp_mul_Lq_has_sum`. -/
theorem inner_le_Lp_mul_Lq_tsum {f g : ι → ℝ≥0} {p q : ℝ} (hpq : p.is_conjugate_exponent q)
(hf : summable (λ i, (f i) ^ p)) (hg : summable (λ i, (g i) ^ q)) :
summable (λ i, f i * g i) ∧
∑' i, f i * g i ≤ (∑' i, (f i) ^ p) ^ (1 / p) * (∑' i, (g i) ^ q) ^ (1 / q) :=
begin
have H₁ : ∀ s : finset ι, ∑ i in s, f i * g i
≤ (∑' i, (f i) ^ p) ^ (1 / p) * (∑' i, (g i) ^ q) ^ (1 / q),
{ intros s,
refine le_trans (inner_le_Lp_mul_Lq s f g hpq) (mul_le_mul _ _ bot_le bot_le),
{ rw nnreal.rpow_le_rpow_iff (one_div_pos.mpr hpq.pos),
exact sum_le_tsum _ (λ _ _, zero_le _) hf },
{ rw nnreal.rpow_le_rpow_iff (one_div_pos.mpr hpq.symm.pos),
exact sum_le_tsum _ (λ _ _, zero_le _) hg } },
have bdd : bdd_above (set.range (λ s, ∑ i in s, f i * g i)),
{ refine ⟨(∑' i, (f i) ^ p) ^ (1 / p) * (∑' i, (g i) ^ q) ^ (1 / q), _⟩,
rintros a ⟨s, rfl⟩,
exact H₁ s },
have H₂ : summable _ := (has_sum_of_is_lub _ (is_lub_csupr bdd)).summable,
exact ⟨H₂, tsum_le_of_sum_le H₂ H₁⟩,
end
theorem summable_mul_of_Lp_Lq {f g : ι → ℝ≥0} {p q : ℝ} (hpq : p.is_conjugate_exponent q)
(hf : summable (λ i, (f i) ^ p)) (hg : summable (λ i, (g i) ^ q)) :
summable (λ i, f i * g i) :=
(inner_le_Lp_mul_Lq_tsum hpq hf hg).1
theorem inner_le_Lp_mul_Lq_tsum' {f g : ι → ℝ≥0} {p q : ℝ} (hpq : p.is_conjugate_exponent q)
(hf : summable (λ i, (f i) ^ p)) (hg : summable (λ i, (g i) ^ q)) :
∑' i, f i * g i ≤ (∑' i, (f i) ^ p) ^ (1 / p) * (∑' i, (g i) ^ q) ^ (1 / q) :=
(inner_le_Lp_mul_Lq_tsum hpq hf hg).2
/-- Hölder inequality: the scalar product of two functions is bounded by the product of their
`L^p` and `L^q` norms when `p` and `q` are conjugate exponents. A version for `nnreal`-valued
functions. For an alternative version, convenient if the infinite sums are not already expressed as
`p`-th powers, see `inner_le_Lp_mul_Lq_tsum`. -/
theorem inner_le_Lp_mul_Lq_has_sum {f g : ι → ℝ≥0} {A B : ℝ≥0} {p q : ℝ}
(hpq : p.is_conjugate_exponent q) (hf : has_sum (λ i, (f i) ^ p) (A ^ p))
(hg : has_sum (λ i, (g i) ^ q) (B ^ q)) :
∃ C, C ≤ A * B ∧ has_sum (λ i, f i * g i) C :=
begin
obtain ⟨H₁, H₂⟩ := inner_le_Lp_mul_Lq_tsum hpq hf.summable hg.summable,
have hA : A = (∑' (i : ι), f i ^ p) ^ (1 / p),
{ rw [hf.tsum_eq, rpow_inv_rpow_self hpq.ne_zero] },
have hB : B = (∑' (i : ι), g i ^ q) ^ (1 / q),
{ rw [hg.tsum_eq, rpow_inv_rpow_self hpq.symm.ne_zero] },
refine ⟨∑' i, f i * g i, _, _⟩,
{ simpa [hA, hB] using H₂ },
{ simpa only [rpow_self_rpow_inv hpq.ne_zero] using H₁.has_sum }
end
/-- For `1 ≤ p`, the `p`-th power of the sum of `f i` is bounded above by a constant times the
sum of the `p`-th powers of `f i`. Version for sums over finite sets, with `ℝ≥0`-valued functions.
-/
theorem rpow_sum_le_const_mul_sum_rpow (f : ι → ℝ≥0) {p : ℝ} (hp : 1 ≤ p) :
(∑ i in s, f i) ^ p ≤ (card s) ^ (p - 1) * ∑ i in s, (f i) ^ p :=
begin
cases eq_or_lt_of_le hp with hp hp,
{ simp [← hp] },
let q : ℝ := p / (p - 1),
have hpq : p.is_conjugate_exponent q,
{ rw real.is_conjugate_exponent_iff hp },
have hp₁ : 1 / p * p = 1 := one_div_mul_cancel hpq.ne_zero,
have hq : 1 / q * p = (p - 1),
{ rw [← hpq.div_conj_eq_sub_one],
ring },
simpa only [nnreal.mul_rpow, ← nnreal.rpow_mul, hp₁, hq, one_mul, one_rpow, rpow_one,
pi.one_apply, sum_const, nat.smul_one_eq_coe]
using nnreal.rpow_le_rpow (inner_le_Lp_mul_Lq s 1 f hpq.symm) hpq.nonneg,
end
/-- The `L_p` seminorm of a vector `f` is the greatest value of the inner product
`∑ i in s, f i * g i` over functions `g` of `L_q` seminorm less than or equal to one. -/
theorem is_greatest_Lp (f : ι → ℝ≥0) {p q : ℝ} (hpq : p.is_conjugate_exponent q) :
is_greatest ((λ g : ι → ℝ≥0, ∑ i in s, f i * g i) ''
{g | ∑ i in s, (g i)^q ≤ 1}) ((∑ i in s, (f i)^p) ^ (1 / p)) :=
begin
split,
{ use λ i, ((f i) ^ p / f i / (∑ i in s, (f i) ^ p) ^ (1 / q)),
by_cases hf : ∑ i in s, (f i)^p = 0,
{ simp [hf, hpq.ne_zero, hpq.symm.ne_zero] },
{ have A : p + q - q ≠ 0, by simp [hpq.ne_zero],
have B : ∀ y : ℝ≥0, y * y^p / y = y^p,
{ refine λ y, mul_div_cancel_left_of_imp (λ h, _),
simpa [h, hpq.ne_zero] },
simp only [set.mem_set_of_eq, div_rpow, ← sum_div, ← rpow_mul,
div_mul_cancel _ hpq.symm.ne_zero, rpow_one, div_le_iff hf, one_mul, hpq.mul_eq_add,
← rpow_sub' _ A, _root_.add_sub_cancel, le_refl, true_and, ← mul_div_assoc, B],
rw [div_eq_iff, ← rpow_add hf, hpq.inv_add_inv_conj, rpow_one],
simpa [hpq.symm.ne_zero] using hf } },
{ rintros _ ⟨g, hg, rfl⟩,
apply le_trans (inner_le_Lp_mul_Lq s f g hpq),
simpa only [mul_one] using mul_le_mul_left'
(nnreal.rpow_le_one hg (le_of_lt hpq.symm.one_div_pos)) _ }
end
/-- Minkowski inequality: the `L_p` seminorm of the sum of two vectors is less than or equal
to the sum of the `L_p`-seminorms of the summands. A version for `nnreal`-valued functions. -/
theorem Lp_add_le (f g : ι → ℝ≥0) {p : ℝ} (hp : 1 ≤ p) :
(∑ i in s, (f i + g i) ^ p) ^ (1 / p) ≤
(∑ i in s, (f i) ^ p) ^ (1 / p) + (∑ i in s, (g i) ^ p) ^ (1 / p) :=
begin
-- The result is trivial when `p = 1`, so we can assume `1 < p`.
rcases eq_or_lt_of_le hp with rfl|hp, { simp [finset.sum_add_distrib] },
have hpq := real.is_conjugate_exponent_conjugate_exponent hp,
have := is_greatest_Lp s (f + g) hpq,
simp only [pi.add_apply, add_mul, sum_add_distrib] at this,
rcases this.1 with ⟨φ, hφ, H⟩,
rw ← H,
exact add_le_add ((is_greatest_Lp s f hpq).2 ⟨φ, hφ, rfl⟩)
((is_greatest_Lp s g hpq).2 ⟨φ, hφ, rfl⟩)
end
/-- Minkowski inequality: the `L_p` seminorm of the infinite sum of two vectors is less than or
equal to the infinite sum of the `L_p`-seminorms of the summands, if these infinite sums both
exist. A version for `nnreal`-valued functions. For an alternative version, convenient if the
infinite sums are already expressed as `p`-th powers, see `Lp_add_le_has_sum_of_nonneg`. -/
theorem Lp_add_le_tsum {f g : ι → ℝ≥0} {p : ℝ} (hp : 1 ≤ p) (hf : summable (λ i, (f i) ^ p))
(hg : summable (λ i, (g i) ^ p)) :
summable (λ i, (f i + g i) ^ p) ∧
(∑' i, (f i + g i) ^ p) ^ (1 / p) ≤ (∑' i, (f i) ^ p) ^ (1 / p) + (∑' i, (g i) ^ p) ^ (1 / p) :=
begin
have pos : 0 < p := lt_of_lt_of_le zero_lt_one hp,
have H₁ : ∀ s : finset ι, ∑ i in s, (f i + g i) ^ p
≤ ((∑' i, (f i)^p) ^ (1/p) + (∑' i, (g i)^p) ^ (1/p)) ^ p,
{ intros s,
rw ← nnreal.rpow_one_div_le_iff pos,
refine le_trans (Lp_add_le s f g hp) (add_le_add _ _);
rw nnreal.rpow_le_rpow_iff (one_div_pos.mpr pos);
refine sum_le_tsum _ (λ _ _, zero_le _) _,
exacts [hf, hg] },
have bdd : bdd_above (set.range (λ s, ∑ i in s, (f i + g i) ^ p)),
{ refine ⟨((∑' i, (f i)^p) ^ (1/p) + (∑' i, (g i)^p) ^ (1/p)) ^ p, _⟩,
rintros a ⟨s, rfl⟩,
exact H₁ s },
have H₂ : summable _ := (has_sum_of_is_lub _ (is_lub_csupr bdd)).summable,
refine ⟨H₂, _⟩,
rw nnreal.rpow_one_div_le_iff pos,
refine tsum_le_of_sum_le H₂ H₁,
end
theorem summable_Lp_add {f g : ι → ℝ≥0} {p : ℝ} (hp : 1 ≤ p) (hf : summable (λ i, (f i) ^ p))
(hg : summable (λ i, (g i) ^ p)) :
summable (λ i, (f i + g i) ^ p) :=
(Lp_add_le_tsum hp hf hg).1
theorem Lp_add_le_tsum' {f g : ι → ℝ≥0} {p : ℝ} (hp : 1 ≤ p) (hf : summable (λ i, (f i) ^ p))
(hg : summable (λ i, (g i) ^ p)) :
(∑' i, (f i + g i) ^ p) ^ (1 / p) ≤ (∑' i, (f i) ^ p) ^ (1 / p) + (∑' i, (g i) ^ p) ^ (1 / p) :=
(Lp_add_le_tsum hp hf hg).2
/-- Minkowski inequality: the `L_p` seminorm of the infinite sum of two vectors is less than or
equal to the infinite sum of the `L_p`-seminorms of the summands, if these infinite sums both
exist. A version for `nnreal`-valued functions. For an alternative version, convenient if the
infinite sums are not already expressed as `p`-th powers, see `Lp_add_le_tsum_of_nonneg`. -/
theorem Lp_add_le_has_sum {f g : ι → ℝ≥0} {A B : ℝ≥0} {p : ℝ} (hp : 1 ≤ p)
(hf : has_sum (λ i, (f i) ^ p) (A ^ p)) (hg : has_sum (λ i, (g i) ^ p) (B ^ p)) :
∃ C, C ≤ A + B ∧ has_sum (λ i, (f i + g i) ^ p) (C ^ p) :=
begin
have hp' : p ≠ 0 := (lt_of_lt_of_le zero_lt_one hp).ne',
obtain ⟨H₁, H₂⟩ := Lp_add_le_tsum hp hf.summable hg.summable,
have hA : A = (∑' (i : ι), f i ^ p) ^ (1 / p) := by rw [hf.tsum_eq, rpow_inv_rpow_self hp'],
have hB : B = (∑' (i : ι), g i ^ p) ^ (1 / p) := by rw [hg.tsum_eq, rpow_inv_rpow_self hp'],
refine ⟨(∑' i, (f i + g i) ^ p) ^ (1 / p), _, _⟩,
{ simpa [hA, hB] using H₂ },
{ simpa only [rpow_self_rpow_inv hp'] using H₁.has_sum }
end
end nnreal
namespace real
variables (f g : ι → ℝ) {p q : ℝ}
/-- Hölder inequality: the scalar product of two functions is bounded by the product of their
`L^p` and `L^q` norms when `p` and `q` are conjugate exponents. Version for sums over finite sets,
with real-valued functions. -/
theorem inner_le_Lp_mul_Lq (hpq : is_conjugate_exponent p q) :
∑ i in s, f i * g i ≤ (∑ i in s, |f i| ^ p) ^ (1 / p) * (∑ i in s, |g i| ^ q) ^ (1 / q) :=
begin
have := nnreal.coe_le_coe.2 (nnreal.inner_le_Lp_mul_Lq s (λ i, ⟨_, abs_nonneg (f i)⟩)
(λ i, ⟨_, abs_nonneg (g i)⟩) hpq),
push_cast at this,
refine le_trans (sum_le_sum $ λ i hi, _) this,
simp only [← abs_mul, le_abs_self]
end
/-- For `1 ≤ p`, the `p`-th power of the sum of `f i` is bounded above by a constant times the
sum of the `p`-th powers of `f i`. Version for sums over finite sets, with `ℝ`-valued functions. -/
theorem rpow_sum_le_const_mul_sum_rpow (hp : 1 ≤ p) :
(∑ i in s, |f i|) ^ p ≤ (card s) ^ (p - 1) * ∑ i in s, |f i| ^ p :=
begin
have := nnreal.coe_le_coe.2
(nnreal.rpow_sum_le_const_mul_sum_rpow s (λ i, ⟨_, abs_nonneg (f i)⟩) hp),
push_cast at this,
exact this, -- for some reason `exact_mod_cast` can't replace this argument
end
/-- Minkowski inequality: the `L_p` seminorm of the sum of two vectors is less than or equal
to the sum of the `L_p`-seminorms of the summands. A version for `real`-valued functions. -/
theorem Lp_add_le (hp : 1 ≤ p) :
(∑ i in s, |f i + g i| ^ p) ^ (1 / p) ≤
(∑ i in s, |f i| ^ p) ^ (1 / p) + (∑ i in s, |g i| ^ p) ^ (1 / p) :=
begin
have := nnreal.coe_le_coe.2 (nnreal.Lp_add_le s (λ i, ⟨_, abs_nonneg (f i)⟩)
(λ i, ⟨_, abs_nonneg (g i)⟩) hp),
push_cast at this,
refine le_trans (rpow_le_rpow _ (sum_le_sum $ λ i hi, _) _) this;
simp [sum_nonneg, rpow_nonneg_of_nonneg, abs_nonneg, le_trans zero_le_one hp, abs_add,
rpow_le_rpow]
end
variables {f g}
/-- Hölder inequality: the scalar product of two functions is bounded by the product of their
`L^p` and `L^q` norms when `p` and `q` are conjugate exponents. Version for sums over finite sets,
with real-valued nonnegative functions. -/
theorem inner_le_Lp_mul_Lq_of_nonneg (hpq : is_conjugate_exponent p q)
(hf : ∀ i ∈ s, 0 ≤ f i) (hg : ∀ i ∈ s, 0 ≤ g i) :
∑ i in s, f i * g i ≤ (∑ i in s, (f i)^p) ^ (1 / p) * (∑ i in s, (g i)^q) ^ (1 / q) :=
by convert inner_le_Lp_mul_Lq s f g hpq using 3; apply sum_congr rfl; intros i hi;
simp only [abs_of_nonneg, hf i hi, hg i hi]
/-- Hölder inequality: the scalar product of two functions is bounded by the product of their
`L^p` and `L^q` norms when `p` and `q` are conjugate exponents. A version for `ℝ`-valued functions.
For an alternative version, convenient if the infinite sums are already expressed as `p`-th powers,
see `inner_le_Lp_mul_Lq_has_sum_of_nonneg`. -/
theorem inner_le_Lp_mul_Lq_tsum_of_nonneg (hpq : p.is_conjugate_exponent q) (hf : ∀ i, 0 ≤ f i)
(hg : ∀ i, 0 ≤ g i) (hf_sum : summable (λ i, (f i) ^ p)) (hg_sum : summable (λ i, (g i) ^ q)) :
summable (λ i, f i * g i) ∧
∑' i, f i * g i ≤ (∑' i, (f i) ^ p) ^ (1 / p) * (∑' i, (g i) ^ q) ^ (1 / q) :=
begin
lift f to (ι → ℝ≥0) using hf,
lift g to (ι → ℝ≥0) using hg,
norm_cast at *,
exact nnreal.inner_le_Lp_mul_Lq_tsum hpq hf_sum hg_sum,
end
theorem summable_mul_of_Lp_Lq_of_nonneg (hpq : p.is_conjugate_exponent q) (hf : ∀ i, 0 ≤ f i)
(hg : ∀ i, 0 ≤ g i) (hf_sum : summable (λ i, (f i) ^ p)) (hg_sum : summable (λ i, (g i) ^ q)) :
summable (λ i, f i * g i) :=
(inner_le_Lp_mul_Lq_tsum_of_nonneg hpq hf hg hf_sum hg_sum).1
theorem inner_le_Lp_mul_Lq_tsum_of_nonneg' (hpq : p.is_conjugate_exponent q) (hf : ∀ i, 0 ≤ f i)
(hg : ∀ i, 0 ≤ g i) (hf_sum : summable (λ i, (f i) ^ p)) (hg_sum : summable (λ i, (g i) ^ q)) :
∑' i, f i * g i ≤ (∑' i, (f i) ^ p) ^ (1 / p) * (∑' i, (g i) ^ q) ^ (1 / q) :=
(inner_le_Lp_mul_Lq_tsum_of_nonneg hpq hf hg hf_sum hg_sum).2
/-- Hölder inequality: the scalar product of two functions is bounded by the product of their
`L^p` and `L^q` norms when `p` and `q` are conjugate exponents. A version for `nnreal`-valued
functions. For an alternative version, convenient if the infinite sums are not already expressed as
`p`-th powers, see `inner_le_Lp_mul_Lq_tsum_of_nonneg`. -/
theorem inner_le_Lp_mul_Lq_has_sum_of_nonneg (hpq : p.is_conjugate_exponent q) {A B : ℝ}
(hA : 0 ≤ A) (hB : 0 ≤ B) (hf : ∀ i, 0 ≤ f i) (hg : ∀ i, 0 ≤ g i)
(hf_sum : has_sum (λ i, (f i) ^ p) (A ^ p)) (hg_sum : has_sum (λ i, (g i) ^ q) (B ^ q)) :
∃ C : ℝ, 0 ≤ C ∧ C ≤ A * B ∧ has_sum (λ i, f i * g i) C :=
begin
lift f to (ι → ℝ≥0) using hf,
lift g to (ι → ℝ≥0) using hg,
lift A to ℝ≥0 using hA,
lift B to ℝ≥0 using hB,
norm_cast at hf_sum hg_sum,
obtain ⟨C, hC, H⟩ := nnreal.inner_le_Lp_mul_Lq_has_sum hpq hf_sum hg_sum,
refine ⟨C, C.prop, hC, _⟩,
norm_cast,
exact H
end
/-- For `1 ≤ p`, the `p`-th power of the sum of `f i` is bounded above by a constant times the
sum of the `p`-th powers of `f i`. Version for sums over finite sets, with nonnegative `ℝ`-valued
functions. -/
theorem rpow_sum_le_const_mul_sum_rpow_of_nonneg (hp : 1 ≤ p) (hf : ∀ i ∈ s, 0 ≤ f i) :
(∑ i in s, f i) ^ p ≤ (card s) ^ (p - 1) * ∑ i in s, f i ^ p :=
by convert rpow_sum_le_const_mul_sum_rpow s f hp using 2; apply sum_congr rfl; intros i hi;
simp only [abs_of_nonneg, hf i hi]
/-- Minkowski inequality: the `L_p` seminorm of the sum of two vectors is less than or equal
to the sum of the `L_p`-seminorms of the summands. A version for `ℝ`-valued nonnegative
functions. -/
theorem Lp_add_le_of_nonneg (hp : 1 ≤ p) (hf : ∀ i ∈ s, 0 ≤ f i) (hg : ∀ i ∈ s, 0 ≤ g i) :
(∑ i in s, (f i + g i) ^ p) ^ (1 / p) ≤
(∑ i in s, (f i) ^ p) ^ (1 / p) + (∑ i in s, (g i) ^ p) ^ (1 / p) :=
by convert Lp_add_le s f g hp using 2 ; [skip, congr' 1, congr' 1];
apply sum_congr rfl; intros i hi; simp only [abs_of_nonneg, hf i hi, hg i hi, add_nonneg]
/-- Minkowski inequality: the `L_p` seminorm of the infinite sum of two vectors is less than or
equal to the infinite sum of the `L_p`-seminorms of the summands, if these infinite sums both
exist. A version for `ℝ`-valued functions. For an alternative version, convenient if the infinite
sums are already expressed as `p`-th powers, see `Lp_add_le_has_sum_of_nonneg`. -/
theorem Lp_add_le_tsum_of_nonneg (hp : 1 ≤ p) (hf : ∀ i, 0 ≤ f i) (hg : ∀ i, 0 ≤ g i)
(hf_sum : summable (λ i, (f i) ^ p)) (hg_sum : summable (λ i, (g i) ^ p)) :
summable (λ i, (f i + g i) ^ p) ∧
(∑' i, (f i + g i) ^ p) ^ (1 / p) ≤ (∑' i, (f i) ^ p) ^ (1 / p) + (∑' i, (g i) ^ p) ^ (1 / p) :=
begin
lift f to (ι → ℝ≥0) using hf,
lift g to (ι → ℝ≥0) using hg,
norm_cast at *,
exact nnreal.Lp_add_le_tsum hp hf_sum hg_sum,
end
theorem summable_Lp_add_of_nonneg (hp : 1 ≤ p) (hf : ∀ i, 0 ≤ f i) (hg : ∀ i, 0 ≤ g i)
(hf_sum : summable (λ i, (f i) ^ p)) (hg_sum : summable (λ i, (g i) ^ p)) :
summable (λ i, (f i + g i) ^ p) :=
(Lp_add_le_tsum_of_nonneg hp hf hg hf_sum hg_sum).1
theorem Lp_add_le_tsum_of_nonneg' (hp : 1 ≤ p) (hf : ∀ i, 0 ≤ f i) (hg : ∀ i, 0 ≤ g i)
(hf_sum : summable (λ i, (f i) ^ p)) (hg_sum : summable (λ i, (g i) ^ p)) :
(∑' i, (f i + g i) ^ p) ^ (1 / p) ≤ (∑' i, (f i) ^ p) ^ (1 / p) + (∑' i, (g i) ^ p) ^ (1 / p) :=
(Lp_add_le_tsum_of_nonneg hp hf hg hf_sum hg_sum).2
/-- Minkowski inequality: the `L_p` seminorm of the infinite sum of two vectors is less than or
equal to the infinite sum of the `L_p`-seminorms of the summands, if these infinite sums both
exist. A version for `ℝ`-valued functions. For an alternative version, convenient if the infinite
sums are not already expressed as `p`-th powers, see `Lp_add_le_tsum_of_nonneg`. -/
theorem Lp_add_le_has_sum_of_nonneg (hp : 1 ≤ p) (hf : ∀ i, 0 ≤ f i) (hg : ∀ i, 0 ≤ g i) {A B : ℝ}
(hA : 0 ≤ A) (hB : 0 ≤ B) (hfA : has_sum (λ i, (f i) ^ p) (A ^ p))
(hgB : has_sum (λ i, (g i) ^ p) (B ^ p)) :
∃ C, 0 ≤ C ∧ C ≤ A + B ∧ has_sum (λ i, (f i + g i) ^ p) (C ^ p) :=
begin
lift f to (ι → ℝ≥0) using hf,
lift g to (ι → ℝ≥0) using hg,
lift A to ℝ≥0 using hA,
lift B to ℝ≥0 using hB,
norm_cast at hfA hgB,
obtain ⟨C, hC₁, hC₂⟩ := nnreal.Lp_add_le_has_sum hp hfA hgB,
use C,
norm_cast,
exact ⟨zero_le _, hC₁, hC₂⟩,
end
end real
namespace ennreal
variables (f g : ι → ℝ≥0∞) {p q : ℝ}
/-- Hölder inequality: the scalar product of two functions is bounded by the product of their
`L^p` and `L^q` norms when `p` and `q` are conjugate exponents. Version for sums over finite sets,
with `ℝ≥0∞`-valued functions. -/
theorem inner_le_Lp_mul_Lq (hpq : p.is_conjugate_exponent q) :
(∑ i in s, f i * g i) ≤ (∑ i in s, (f i)^p) ^ (1/p) * (∑ i in s, (g i)^q) ^ (1/q) :=
begin
by_cases H : (∑ i in s, (f i)^p) ^ (1/p) = 0 ∨ (∑ i in s, (g i)^q) ^ (1/q) = 0,
{ replace H : (∀ i ∈ s, f i = 0) ∨ (∀ i ∈ s, g i = 0),
by simpa [ennreal.rpow_eq_zero_iff, hpq.pos, hpq.symm.pos, asymm hpq.pos, asymm hpq.symm.pos,
sum_eq_zero_iff_of_nonneg] using H,
have : ∀ i ∈ s, f i * g i = 0 := λ i hi, by cases H; simp [H i hi],
have : (∑ i in s, f i * g i) = (∑ i in s, 0) := sum_congr rfl this,
simp [this] },
push_neg at H,
by_cases H' : (∑ i in s, (f i)^p) ^ (1/p) = ⊤ ∨ (∑ i in s, (g i)^q) ^ (1/q) = ⊤,
{ cases H'; simp [H', -one_div, H] },
replace H' : (∀ i ∈ s, f i ≠ ⊤) ∧ (∀ i ∈ s, g i ≠ ⊤),
by simpa [ennreal.rpow_eq_top_iff, asymm hpq.pos, asymm hpq.symm.pos, hpq.pos, hpq.symm.pos,
ennreal.sum_eq_top_iff, not_or_distrib] using H',
have := ennreal.coe_le_coe.2 (@nnreal.inner_le_Lp_mul_Lq _ s (λ i, ennreal.to_nnreal (f i))
(λ i, ennreal.to_nnreal (g i)) _ _ hpq),
simp [← ennreal.coe_rpow_of_nonneg, le_of_lt (hpq.pos), le_of_lt (hpq.one_div_pos),
le_of_lt (hpq.symm.pos), le_of_lt (hpq.symm.one_div_pos)] at this,
convert this using 1;
[skip, congr' 2];
[skip, skip, simp, skip, simp];
{ apply finset.sum_congr rfl (λ i hi, _), simp [H'.1 i hi, H'.2 i hi, -with_zero.coe_mul,
with_top.coe_mul.symm] },
end
/-- For `1 ≤ p`, the `p`-th power of the sum of `f i` is bounded above by a constant times the
sum of the `p`-th powers of `f i`. Version for sums over finite sets, with `ℝ≥0∞`-valued functions.
-/
theorem rpow_sum_le_const_mul_sum_rpow (hp : 1 ≤ p) :
(∑ i in s, f i) ^ p ≤ (card s) ^ (p - 1) * ∑ i in s, (f i) ^ p :=
begin
cases eq_or_lt_of_le hp with hp hp,
{ simp [← hp] },
let q : ℝ := p / (p - 1),
have hpq : p.is_conjugate_exponent q,
{ rw real.is_conjugate_exponent_iff hp },
have hp₁ : 1 / p * p = 1 := one_div_mul_cancel hpq.ne_zero,
have hq : 1 / q * p = (p - 1),
{ rw [← hpq.div_conj_eq_sub_one],
ring },
simpa only [ennreal.mul_rpow_of_nonneg _ _ hpq.nonneg, ← ennreal.rpow_mul, hp₁, hq, coe_one,
one_mul, one_rpow, rpow_one, pi.one_apply, sum_const, nat.smul_one_eq_coe]
using ennreal.rpow_le_rpow (inner_le_Lp_mul_Lq s 1 f hpq.symm) hpq.nonneg,
end
/-- Minkowski inequality: the `L_p` seminorm of the sum of two vectors is less than or equal
to the sum of the `L_p`-seminorms of the summands. A version for `ℝ≥0∞` valued nonnegative
functions. -/
theorem Lp_add_le (hp : 1 ≤ p) :
(∑ i in s, (f i + g i) ^ p)^(1/p) ≤ (∑ i in s, (f i)^p) ^ (1/p) + (∑ i in s, (g i)^p) ^ (1/p) :=
begin
by_cases H' : (∑ i in s, (f i)^p) ^ (1/p) = ⊤ ∨ (∑ i in s, (g i)^p) ^ (1/p) = ⊤,
{ cases H'; simp [H', -one_div] },
have pos : 0 < p := lt_of_lt_of_le zero_lt_one hp,
replace H' : (∀ i ∈ s, f i ≠ ⊤) ∧ (∀ i ∈ s, g i ≠ ⊤),
by simpa [ennreal.rpow_eq_top_iff, asymm pos, pos, ennreal.sum_eq_top_iff,
not_or_distrib] using H',
have := ennreal.coe_le_coe.2 (@nnreal.Lp_add_le _ s (λ i, ennreal.to_nnreal (f i))
(λ i, ennreal.to_nnreal (g i)) _ hp),
push_cast [← ennreal.coe_rpow_of_nonneg, le_of_lt (pos), le_of_lt (one_div_pos.2 pos)] at this,
convert this using 2;
[skip, congr' 1, congr' 1];
{ apply finset.sum_congr rfl (λ i hi, _), simp [H'.1 i hi, H'.2 i hi] }
end
end ennreal
end holder_minkowski
|
c103ec0db786e4aa8bb31e312de80b31ba4f5f52 | d406927ab5617694ec9ea7001f101b7c9e3d9702 | /src/category_theory/simple.lean | 55e1e1d62b5b79c80d460d1e22fc768b142ce962 | [
"Apache-2.0"
] | permissive | alreadydone/mathlib | dc0be621c6c8208c581f5170a8216c5ba6721927 | c982179ec21091d3e102d8a5d9f5fe06c8fafb73 | refs/heads/master | 1,685,523,275,196 | 1,670,184,141,000 | 1,670,184,141,000 | 287,574,545 | 0 | 0 | Apache-2.0 | 1,670,290,714,000 | 1,597,421,623,000 | Lean | UTF-8 | Lean | false | false | 8,844 | lean | /-
Copyright (c) 2020 Scott Morrison. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Markus Himmel, Scott Morrison
-/
import category_theory.limits.shapes.zero_morphisms
import category_theory.limits.shapes.kernels
import category_theory.abelian.basic
import category_theory.subobject.lattice
import order.atoms
/-!
# Simple objects
We define simple objects in any category with zero morphisms.
A simple object is an object `Y` such that any monomorphism `f : X ⟶ Y`
is either an isomorphism or zero (but not both).
This is formalized as a `Prop` valued typeclass `simple X`.
In some contexts, especially representation theory, simple objects are called "irreducibles".
If a morphism `f` out of a simple object is nonzero and has a kernel, then that kernel is zero.
(We state this as `kernel.ι f = 0`, but should add `kernel f ≅ 0`.)
When the category is abelian, being simple is the same as being cosimple (although we do not
state a separate typeclass for this).
As a consequence, any nonzero epimorphism out of a simple object is an isomorphism,
and any nonzero morphism into a simple object has trivial cokernel.
We show that any simple object is indecomposable.
-/
noncomputable theory
open category_theory.limits
namespace category_theory
universes v u
variables {C : Type u} [category.{v} C]
section
variables [has_zero_morphisms C]
/-- An object is simple if monomorphisms into it are (exclusively) either isomorphisms or zero. -/
class simple (X : C) : Prop :=
(mono_is_iso_iff_nonzero : ∀ {Y : C} (f : Y ⟶ X) [mono f], is_iso f ↔ (f ≠ 0))
/-- A nonzero monomorphism to a simple object is an isomorphism. -/
lemma is_iso_of_mono_of_nonzero {X Y : C} [simple Y] {f : X ⟶ Y} [mono f] (w : f ≠ 0) :
is_iso f :=
(simple.mono_is_iso_iff_nonzero f).mpr w
lemma simple.of_iso {X Y : C} [simple Y] (i : X ≅ Y) : simple X :=
{ mono_is_iso_iff_nonzero := λ Z f m, begin
resetI,
haveI : mono (f ≫ i.hom) := mono_comp _ _,
split,
{ introsI h w,
haveI j : is_iso (f ≫ i.hom), apply_instance,
rw simple.mono_is_iso_iff_nonzero at j,
unfreezingI { subst w, },
simpa using j, },
{ intro h,
haveI j : is_iso (f ≫ i.hom),
{ apply is_iso_of_mono_of_nonzero,
intro w, apply h,
simpa using (cancel_mono i.inv).2 w, },
rw [←category.comp_id f, ←i.hom_inv_id, ←category.assoc],
apply_instance, },
end }
lemma simple.iff_of_iso {X Y : C} (i : X ≅ Y) : simple X ↔ simple Y :=
⟨λ h, by exactI simple.of_iso i.symm, λ h, by exactI simple.of_iso i⟩
lemma kernel_zero_of_nonzero_from_simple
{X Y : C} [simple X] {f : X ⟶ Y} [has_kernel f] (w : f ≠ 0) :
kernel.ι f = 0 :=
begin
classical,
by_contra,
haveI := is_iso_of_mono_of_nonzero h,
exact w (eq_zero_of_epi_kernel f),
end
/--
A nonzero morphism `f` to a simple object is an epimorphism
(assuming `f` has an image, and `C` has equalizers).
-/
-- See also `mono_of_nonzero_from_simple`, which requires `preadditive C`.
lemma epi_of_nonzero_to_simple [has_equalizers C] {X Y : C} [simple Y]
{f : X ⟶ Y} [has_image f] (w : f ≠ 0) : epi f :=
begin
rw ←image.fac f,
haveI : is_iso (image.ι f) := is_iso_of_mono_of_nonzero (λ h, w (eq_zero_of_image_eq_zero h)),
apply epi_comp,
end
lemma mono_to_simple_zero_of_not_iso
{X Y : C} [simple Y] {f : X ⟶ Y} [mono f] (w : is_iso f → false) : f = 0 :=
begin
classical,
by_contra,
exact w (is_iso_of_mono_of_nonzero h)
end
lemma id_nonzero (X : C) [simple.{v} X] : 𝟙 X ≠ 0 :=
(simple.mono_is_iso_iff_nonzero (𝟙 X)).mp (by apply_instance)
instance (X : C) [simple.{v} X] : nontrivial (End X) :=
nontrivial_of_ne 1 0 (id_nonzero X)
section
lemma simple.not_is_zero (X : C) [simple X] : ¬ is_zero X :=
by simpa [limits.is_zero.iff_id_eq_zero] using id_nonzero X
variable [has_zero_object C]
open_locale zero_object
variables (C)
/-- We don't want the definition of 'simple' to include the zero object, so we check that here. -/
lemma zero_not_simple [simple (0 : C)] : false :=
(simple.mono_is_iso_iff_nonzero (0 : (0 : C) ⟶ (0 : C))).mp ⟨⟨0, by tidy⟩⟩ rfl
end
end
-- We next make the dual arguments, but for this we must be in an abelian category.
section abelian
variables [abelian C]
/-- In an abelian category, an object satisfying the dual of the definition of a simple object is
simple. -/
lemma simple_of_cosimple (X : C) (h : ∀ {Z : C} (f : X ⟶ Z) [epi f], is_iso f ↔ (f ≠ 0)) :
simple X :=
⟨λ Y f I,
begin
classical,
fsplit,
{ introsI,
have hx := cokernel.π_of_epi f,
by_contra,
substI h,
exact (h _).mp (cokernel.π_of_zero _ _) hx },
{ intro hf,
suffices : epi f,
{ exactI is_iso_of_mono_of_epi _ },
apply preadditive.epi_of_cokernel_zero,
by_contra h',
exact cokernel_not_iso_of_nonzero hf ((h _).mpr h') }
end⟩
/-- A nonzero epimorphism from a simple object is an isomorphism. -/
lemma is_iso_of_epi_of_nonzero {X Y : C} [simple X] {f : X ⟶ Y} [epi f] (w : f ≠ 0) :
is_iso f :=
begin
-- `f ≠ 0` means that `kernel.ι f` is not an iso, and hence zero, and hence `f` is a mono.
haveI : mono f :=
preadditive.mono_of_kernel_zero (mono_to_simple_zero_of_not_iso (kernel_not_iso_of_nonzero w)),
exact is_iso_of_mono_of_epi f,
end
lemma cokernel_zero_of_nonzero_to_simple
{X Y : C} [simple Y] {f : X ⟶ Y} (w : f ≠ 0) :
cokernel.π f = 0 :=
begin
classical,
by_contradiction h,
haveI := is_iso_of_epi_of_nonzero h,
exact w (eq_zero_of_mono_cokernel f),
end
lemma epi_from_simple_zero_of_not_iso
{X Y : C} [simple X] {f : X ⟶ Y} [epi f] (w : is_iso f → false) : f = 0 :=
begin
classical,
by_contra,
exact w (is_iso_of_epi_of_nonzero h),
end
end abelian
section indecomposable
variables [preadditive C] [has_binary_biproducts C]
-- There are another three potential variations of this lemma,
-- but as any one suffices to prove `indecomposable_of_simple` we will not give them all.
lemma biprod.is_iso_inl_iff_is_zero (X Y : C) : is_iso (biprod.inl : X ⟶ X ⊞ Y) ↔ is_zero Y :=
begin
rw [biprod.is_iso_inl_iff_id_eq_fst_comp_inl, ←biprod.total, add_right_eq_self],
split,
{ intro h, replace h := h =≫ biprod.snd,
simpa [←is_zero.iff_is_split_epi_eq_zero (biprod.snd : X ⊞ Y ⟶ Y)] using h, },
{ intro h, rw is_zero.iff_is_split_epi_eq_zero (biprod.snd : X ⊞ Y ⟶ Y) at h,
rw [h, zero_comp], },
end
/-- Any simple object in a preadditive category is indecomposable. -/
lemma indecomposable_of_simple (X : C) [simple X] : indecomposable X :=
⟨simple.not_is_zero X,
λ Y Z i, begin
refine or_iff_not_imp_left.mpr (λ h, _),
rw is_zero.iff_is_split_mono_eq_zero (biprod.inl : Y ⟶ Y ⊞ Z) at h,
change biprod.inl ≠ 0 at h,
rw ←(simple.mono_is_iso_iff_nonzero biprod.inl) at h,
{ rwa biprod.is_iso_inl_iff_is_zero at h, },
{ exact simple.of_iso i.symm, },
{ apply_instance, },
end⟩
end indecomposable
section subobject
variables [has_zero_morphisms C] [has_zero_object C]
open_locale zero_object
open subobject
instance {X : C} [simple X] : nontrivial (subobject X) :=
nontrivial_of_not_is_zero (simple.not_is_zero X)
instance {X : C} [simple X] : is_simple_order (subobject X) :=
{ eq_bot_or_eq_top := begin
rintro ⟨⟨⟨(Y : C), ⟨⟨⟩⟩, (f : Y ⟶ X)⟩, (m : mono f)⟩⟩, resetI,
change mk f = ⊥ ∨ mk f = ⊤,
by_cases h : f = 0,
{ exact or.inl (mk_eq_bot_iff_zero.mpr h), },
{ refine or.inr ((is_iso_iff_mk_eq_top _).mp ((simple.mono_is_iso_iff_nonzero f).mpr h)), }
end, }
/-- If `X` has subobject lattice `{⊥, ⊤}`, then `X` is simple. -/
lemma simple_of_is_simple_order_subobject (X : C) [is_simple_order (subobject X)] : simple X :=
begin
split, introsI, split,
{ introI i,
rw subobject.is_iso_iff_mk_eq_top at i,
intro w,
rw ←subobject.mk_eq_bot_iff_zero at w,
exact is_simple_order.bot_ne_top (w.symm.trans i), },
{ intro i,
rcases is_simple_order.eq_bot_or_eq_top (subobject.mk f) with h|h,
{ rw subobject.mk_eq_bot_iff_zero at h,
exact false.elim (i h), },
{ exact (subobject.is_iso_iff_mk_eq_top _).mpr h, }, }
end
/-- `X` is simple iff it has subobject lattice `{⊥, ⊤}`. -/
lemma simple_iff_subobject_is_simple_order (X : C) : simple X ↔ is_simple_order (subobject X) :=
⟨by { introI h, apply_instance, },
by { introI h, exact simple_of_is_simple_order_subobject X, }⟩
/-- A subobject is simple iff it is an atom in the subobject lattice. -/
lemma subobject_simple_iff_is_atom {X : C} (Y : subobject X) : simple (Y : C) ↔ is_atom Y :=
(simple_iff_subobject_is_simple_order _).trans
((order_iso.is_simple_order_iff (subobject_order_iso Y)).trans
set.is_simple_order_Iic_iff_is_atom)
end subobject
end category_theory
|
166055d06909cdee72b05c401dd69f70b1cc835e | 46125763b4dbf50619e8846a1371029346f4c3db | /src/order/filter/bases.lean | 3adeccdd90a165ec5f129f57b8ebaba1071c7654 | [
"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 | 8,853 | lean | /-
Copyright (c) 2020 Yury Kudryashov. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Author: Yury Kudryashov
-/
import order.filter.basic
/-! # Filter bases
In this file we define `filter.has_basis l p s`, where `l` is a filter on `α`, `p` is a predicate
on some index set `ι`, and `s : ι → set α`.
## Main statements
* `has_basis.mem_iff`, `has_basis.mem_of_superset`, `has_basis.mem_of_mem` : restate `t ∈ f` in terms
of a basis;
* `basis_sets` : all sets of a filter form a basis;
* `has_basis.inf`, `has_basis.inf_principal`, `has_basis.prod`, `has_basis.prod_self`,
`has_basis.map`, `has_basis.comap` : combinators to construct filters of `l ⊓ l'`,
`l ⊓ principal t`, `l.prod l'`, `l.prod l`, `l.map f`, `l.comap f` respectively;
* `has_basis.le_iff`, `has_basis.ge_iff`, has_basis.le_basis_iff` : restate `l ≤ l'` in terms
of bases.
* `has_basis.tendsto_right_iff`, `has_basis.tendsto_left_iff`, `has_basis.tendsto_iff` : restate
`tendsto f l l'` in terms of bases.
## Implementation notes
As with `Union`/`bUnion`/`sUnion`, there are three different approaches to filter bases:
* `has_basis l s`, `s : set (set α)`;
* `has_basis l s`, `s : ι → set α`;
* `has_basis l p s`, `p : ι → Prop`, `s : ι → set α`.
We use the latter one because, e.g., `𝓝 x` in an `emetric_space` or in a `metric_space` has a basis
of this form. The other two can be emulated using `s = id` or `p = λ _, true`.
With this approach sometimes one needs to `simp` the statement provided by the `has_basis`
machinery, e.g., `simp only [exists_prop, true_and]` or `simp only [forall_const]` can help
with the case `p = λ _, true`.
-/
namespace filter
variables {α : Type*} {β : Type*} {γ : Type*} {ι : Type*} {ι' : Type*}
open set lattice
/-- We say that a filter `l` has a basis `s : ι → set α` bounded by `p : ι → Prop`,
if `t ∈ l` if and only if `t` includes `s i` for some `i` such that `p i`. -/
protected def has_basis (l : filter α) (p : ι → Prop) (s : ι → set α) : Prop :=
∀ t : set α, t ∈ l ↔ ∃ i (hi : p i), s i ⊆ t
section same_type
variables {l l' : filter α} {p : ι → Prop} {s : ι → set α} {t : set α} {i : ι}
{p' : ι' → Prop} {s' : ι' → set α} {i' : ι'}
/-- Definition of `has_basis` unfolded to make it useful for `rw` and `simp`. -/
lemma has_basis.mem_iff (hl : l.has_basis p s) : t ∈ l ↔ ∃ i (hi : p i), s i ⊆ t :=
hl t
lemma has_basis.eventually_iff (hl : l.has_basis p s) {q : α → Prop} :
(∀ᶠ x in l, q x) ↔ ∃ i (hi : p i), ∀ ⦃x⦄, x ∈ s i → q x :=
hl _
lemma has_basis.mem_of_superset (hl : l.has_basis p s) (hi : p i) (ht : s i ⊆ t) : t ∈ l :=
(hl t).2 ⟨i, hi, ht⟩
lemma has_basis.mem_of_mem (hl : l.has_basis p s) (hi : p i) : s i ∈ l :=
hl.mem_of_superset hi $ subset.refl _
lemma has_basis.forall_nonempty_iff_ne_bot (hl : l.has_basis p s) :
(∀ {i}, p i → (s i).nonempty) ↔ l ≠ ⊥ :=
⟨λ H, forall_sets_nonempty_iff_ne_bot.1 $
λ s hs, let ⟨i, hi, his⟩ := (hl s).1 hs in (H hi).mono his,
λ H i hi, nonempty_of_mem_sets H (hl.mem_of_mem hi)⟩
lemma basis_sets (l : filter α) : l.has_basis (λ s : set α, s ∈ l) id :=
λ t, exists_sets_subset_iff.symm
lemma at_top_basis [nonempty α] [semilattice_sup α] :
(@at_top α _).has_basis (λ _, true) Ici :=
λ t, by simpa only [exists_prop, true_and] using @mem_at_top_sets α _ _ t
lemma at_top_basis' [semilattice_sup α] (a : α) :
(@at_top α _).has_basis (λ x, a ≤ x) Ici :=
λ t, (@at_top_basis α ⟨a⟩ _ t).trans
⟨λ ⟨x, _, hx⟩, ⟨x ⊔ a, le_sup_right, λ y hy, hx (le_trans le_sup_left hy)⟩,
λ ⟨x, _, hx⟩, ⟨x, trivial, hx⟩⟩
theorem has_basis.ge_iff (hl' : l'.has_basis p' s') : l ≤ l' ↔ ∀ i', p' i' → s' i' ∈ l :=
⟨λ h i' hi', h $ hl'.mem_of_mem hi',
λ h s hs, let ⟨i', hi', hs⟩ := (hl' s).1 hs in mem_sets_of_superset (h _ hi') hs⟩
theorem has_basis.le_iff (hl : l.has_basis p s) : l ≤ l' ↔ ∀ t ∈ l', ∃ i (hi : p i), s i ⊆ t :=
by simp only [le_def, hl.mem_iff]
theorem has_basis.le_basis_iff (hl : l.has_basis p s) (hl' : l'.has_basis p' s') :
l ≤ l' ↔ ∀ i', p' i' → ∃ i (hi : p i), s i ⊆ s' i' :=
by simp only [hl'.ge_iff, hl.mem_iff]
lemma has_basis.inf (hl : l.has_basis p s) (hl' : l'.has_basis p' s') :
(l ⊓ l').has_basis (λ i : ι × ι', p i.1 ∧ p' i.2) (λ i, s i.1 ∩ s' i.2) :=
begin
intro t,
simp only [mem_inf_sets, exists_prop, hl.mem_iff, hl'.mem_iff],
split,
{ rintros ⟨t, ⟨i, hi, ht⟩, t', ⟨i', hi', ht'⟩, H⟩,
use [(i, i'), ⟨hi, hi'⟩, subset.trans (inter_subset_inter ht ht') H] },
{ rintros ⟨⟨i, i'⟩, ⟨hi, hi'⟩, H⟩,
use [s i, i, hi, subset.refl _, s' i', i', hi', subset.refl _, H] }
end
lemma has_basis.inf_principal (hl : l.has_basis p s) (s' : set α) :
(l ⊓ principal s').has_basis p (λ i, s i ∩ s') :=
λ t, by simp only [mem_inf_principal, hl.mem_iff, subset_def, mem_set_of_eq,
mem_inter_iff, and_imp]
lemma has_basis.eq_binfi (h : l.has_basis p s) :
l = ⨅ i (_ : p i), principal (s i) :=
eq_binfi_of_mem_sets_iff_exists_mem $ λ t, by simp only [h.mem_iff, mem_principal_sets]
lemma has_basis.eq_infi (h : l.has_basis (λ _, true) s) :
l = ⨅ i, principal (s i) :=
by simpa only [infi_true] using h.eq_binfi
@[nolint ge_or_gt] -- see Note [nolint_ge]
lemma has_basis_infi_principal {s : ι → set α} (h : directed (≥) s) (ne : nonempty ι) :
(⨅ i, principal (s i)).has_basis (λ _, true) s :=
begin
refine λ t, (mem_infi (h.mono_comp _ _) ne t).trans $
by simp only [exists_prop, true_and, mem_principal_sets],
exact λ _ _, principal_mono.2
end
@[nolint ge_or_gt] -- see Note [nolint_ge]
lemma has_basis_binfi_principal {s : β → set α} {S : set β} (h : directed_on (s ⁻¹'o (≥)) S)
(ne : S.nonempty) :
(⨅ i ∈ S, principal (s i)).has_basis (λ i, i ∈ S) s :=
begin
refine λ t, (mem_binfi _ ne).trans $ by simp only [mem_principal_sets],
rw [directed_on_iff_directed, ← directed_comp, (∘)] at h ⊢,
apply h.mono_comp _ _,
exact λ _ _, principal_mono.2
end
lemma has_basis.map (f : α → β) (hl : l.has_basis p s) :
(l.map f).has_basis p (λ i, f '' (s i)) :=
λ t, by simp only [mem_map, image_subset_iff, hl.mem_iff, preimage]
lemma has_basis.comap (f : β → α) (hl : l.has_basis p s) :
(l.comap f).has_basis p (λ i, f ⁻¹' (s i)) :=
begin
intro t,
simp only [mem_comap_sets, exists_prop, hl.mem_iff],
split,
{ rintros ⟨t', ⟨i, hi, ht'⟩, H⟩,
exact ⟨i, hi, subset.trans (preimage_mono ht') H⟩ },
{ rintros ⟨i, hi, H⟩,
exact ⟨s i, ⟨i, hi, subset.refl _⟩, H⟩ }
end
lemma has_basis.prod_self (hl : l.has_basis p s) :
(l.prod l).has_basis p (λ i, (s i).prod (s i)) :=
begin
intro t,
apply mem_prod_iff.trans,
split,
{ rintros ⟨t₁, ht₁, t₂, ht₂, H⟩,
rcases hl.mem_iff.1 (inter_mem_sets ht₁ ht₂) with ⟨i, hi, ht⟩,
exact ⟨i, hi, λ p ⟨hp₁, hp₂⟩, H ⟨(ht hp₁).1, (ht hp₂).2⟩⟩ },
{ rintros ⟨i, hi, H⟩,
exact ⟨s i, hl.mem_of_mem hi, s i, hl.mem_of_mem hi, H⟩ }
end
end same_type
section two_types
variables {la : filter α} {pa : ι → Prop} {sa : ι → set α}
{lb : filter β} {pb : ι' → Prop} {sb : ι' → set β} {f : α → β}
lemma has_basis.tendsto_left_iff (hla : la.has_basis pa sa) :
tendsto f la lb ↔ ∀ t ∈ lb, ∃ i (hi : pa i), ∀ x ∈ sa i, f x ∈ t :=
by { simp only [tendsto, (hla.map f).le_iff, image_subset_iff], refl }
lemma has_basis.tendsto_right_iff (hlb : lb.has_basis pb sb) :
tendsto f la lb ↔ ∀ i (hi : pb i), ∀ᶠ x in la, f x ∈ sb i :=
by simp only [tendsto, hlb.ge_iff, mem_map, filter.eventually]
lemma has_basis.tendsto_iff (hla : la.has_basis pa sa) (hlb : lb.has_basis pb sb) :
tendsto f la lb ↔ ∀ ib (hib : pb ib), ∃ ia (hia : pa ia), ∀ x ∈ sa ia, f x ∈ sb ib :=
by simp only [hlb.tendsto_right_iff, hla.eventually_iff, subset_def, mem_set_of_eq]
lemma tendsto.basis_left (H : tendsto f la lb) (hla : la.has_basis pa sa) :
∀ t ∈ lb, ∃ i (hi : pa i), ∀ x ∈ sa i, f x ∈ t :=
hla.tendsto_left_iff.1 H
lemma tendsto.basis_right (H : tendsto f la lb) (hlb : lb.has_basis pb sb) :
∀ i (hi : pb i), ∀ᶠ x in la, f x ∈ sb i :=
hlb.tendsto_right_iff.1 H
lemma tendsto.basis_both (H : tendsto f la lb) (hla : la.has_basis pa sa)
(hlb : lb.has_basis pb sb) :
∀ ib (hib : pb ib), ∃ ia (hia : pa ia), ∀ x ∈ sa ia, f x ∈ sb ib :=
(hla.tendsto_iff hlb).1 H
lemma has_basis.prod (hla : la.has_basis pa sa) (hlb : lb.has_basis pb sb) :
(la.prod lb).has_basis (λ i : ι × ι', pa i.1 ∧ pb i.2) (λ i, (sa i.1).prod (sb i.2)) :=
(hla.comap prod.fst).inf (hlb.comap prod.snd)
end two_types
end filter
|
81872df477a996530c95e87abc4e127b26f3a84e | cf39355caa609c0f33405126beee2739aa3cb77e | /tests/lean/run/1577.lean | 4d8e327cfa71e8d5fe25d1780407cd9b6e441be2 | [
"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 | 177 | lean | section
parameter T : Type
def eqT : T -> T -> Prop
| t1 t2 := t1 = t2
lemma sm : forall t1 t2,
eqT t1 t2 ->
t1 = t2 :=
begin
intros,
simp [eqT] at ᾰ,
assumption
end
end
|
b5a00804fb20948007ff3d6b3fb59fa97fe11e91 | dd0f5513e11c52db157d2fcc8456d9401a6cd9da | /02_Dependent_Type_Theory.org.11.lean | 83d0f934ada6c9c4a14b69bad60933ac763e57aa | [] | 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 | 765 | lean | /- page 17 -/
import standard
constants A B C : Type
constant f : A → B
constant g : B → C
constant b: B
check λ x : A, x -- the identity function on A
check λ x : A, b -- a constant function on A
check λ x : A, g (f x) -- the composition of g and f
check λ x, g (f x) -- (Lean can figure out the type of x)
-- we can abstract any of the constants in the previous definitions
check λ b : B, λ x : A, x -- B → A → A
check λ (b : B) (x : A), x -- equivalent to the previous line
check λ (g : B → C) (f : A → B) (x : A), g (f x)
-- (B → C) → (A → B) → A → C
-- we can even abstract over the type
check λ (A B : Type) (b : B) (x : A), x
check λ (A B C : Type) (g : B → C) (f : A → B) (x : A), g (f x)
|
bf80fdba9d68bb714a106182e918f67526d94833 | 80cc5bf14c8ea85ff340d1d747a127dcadeb966f | /src/topology/category/Top/opens.lean | 8274a0081bdfb416eb896ed80e3202b47cfa07b1 | [
"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 | 7,769 | lean | /-
Copyright (c) 2019 Scott Morrison. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Scott Morrison
-/
import topology.category.Top.basic
import category_theory.eq_to_hom
/-!
# The category of open sets in a topological space.
We define `to_Top : opens X ⥤ Top` and
`map (f : X ⟶ Y) : opens Y ⥤ opens X`, given by taking preimages of open sets.
Unfortunately `opens` isn't (usefully) a functor `Top ⥤ Cat`.
(One can in fact define such a functor,
but using it results in unresolvable `eq.rec` terms in goals.)
Really it's a 2-functor from (spaces, continuous functions, equalities)
to (categories, functors, natural isomorphisms).
We don't attempt to set up the full theory here, but do provide the natural isomorphisms
`map_id : map (𝟙 X) ≅ 𝟭 (opens X)` and
`map_comp : map (f ≫ g) ≅ map g ⋙ map f`.
Beyond that, there's a collection of simp lemmas for working with these constructions.
-/
open category_theory
open topological_space
open opposite
universe u
namespace topological_space.opens
variables {X Y Z : Top.{u}}
/-!
Since `opens X` has a partial order, it automatically receives a `category` instance.
Unfortunately, because we do not allow morphisms in `Prop`,
the morphisms `U ⟶ V` are not just proofs `U ≤ V`, but rather
`ulift (plift (U ≤ V))`.
-/
instance opens_hom_has_coe_to_fun {U V : opens X} : has_coe_to_fun (U ⟶ V) :=
{ F := λ f, U → V,
coe := λ f x, ⟨x, (le_of_hom f) x.2⟩ }
/-!
We now construct as morphisms various inclusions of open sets.
-/
-- This is tedious, but necessary because we decided not to allow Prop as morphisms in a category...
/--
The inclusion `U ⊓ V ⟶ U` as a morphism in the category of open sets.
-/
def inf_le_left (U V : opens X) : U ⊓ V ⟶ U :=
hom_of_le inf_le_left
/--
The inclusion `U ⊓ V ⟶ V` as a morphism in the category of open sets.
-/
def inf_le_right (U V : opens X) : U ⊓ V ⟶ V :=
hom_of_le inf_le_right
/--
The inclusion `U i ⟶ supr U` as a morphism in the category of open sets.
-/
def le_supr {ι : Type*} (U : ι → opens X) (i : ι) : U i ⟶ supr U :=
hom_of_le (le_supr U i)
/--
The inclusion `⊥ ⟶ U` as a morphism in the category of open sets.
-/
def bot_le (U : opens X) : ⊥ ⟶ U :=
hom_of_le bot_le
/--
The inclusion `U ⟶ ⊤` as a morphism in the category of open sets.
-/
def le_top (U : opens X) : U ⟶ ⊤ :=
hom_of_le le_top
-- We do not mark this as a simp lemma because it breaks open `x`.
-- Nevertheless, it is useful in `sheaf_of_functions`.
lemma inf_le_left_apply (U V : opens X) (x) :
(inf_le_left U V) x = ⟨x.1, (@_root_.inf_le_left _ _ U V : _ ≤ _) x.2⟩ :=
rfl
@[simp]
lemma inf_le_left_apply_mk (U V : opens X) (x) (m) :
(inf_le_left U V) ⟨x, m⟩ = ⟨x, (@_root_.inf_le_left _ _ U V : _ ≤ _) m⟩ :=
rfl
@[simp]
lemma le_supr_apply_mk {ι : Type*} (U : ι → opens X) (i : ι) (x) (m) :
(le_supr U i) ⟨x, m⟩ = ⟨x, (_root_.le_supr U i : _) m⟩ :=
rfl
/--
The functor from open sets in `X` to `Top`,
realising each open set as a topological space itself.
-/
def to_Top (X : Top.{u}) : opens X ⥤ Top :=
{ obj := λ U, ⟨U.val, infer_instance⟩,
map := λ U V i, ⟨λ x, ⟨x.1, (le_of_hom i) x.2⟩,
(embedding.continuous_iff embedding_subtype_coe).2 continuous_induced_dom⟩ }
@[simp]
lemma to_Top_map (X : Top.{u}) {U V : opens X} {f : U ⟶ V} {x} {h} :
((to_Top X).map f) ⟨x, h⟩ = ⟨x, (le_of_hom f) h⟩ :=
rfl
/--
The inclusion map from an open subset to the whole space, as a morphism in `Top`.
-/
@[simps]
def inclusion {X : Top.{u}} (U : opens X) : (to_Top X).obj U ⟶ X :=
{ to_fun := _,
continuous_to_fun := continuous_subtype_coe }
lemma inclusion_open_embedding {X : Top.{u}} (U : opens X) : open_embedding (inclusion U) :=
is_open.open_embedding_subtype_coe U.2
/-- `opens.map f` gives the functor from open sets in Y to open set in X,
given by taking preimages under f. -/
def map (f : X ⟶ Y) : opens Y ⥤ opens X :=
{ obj := λ U, ⟨ f ⁻¹' U.val, f.continuous _ U.property ⟩,
map := λ U V i, ⟨ ⟨ λ a b, (le_of_hom i) b ⟩ ⟩ }.
@[simp] lemma map_obj (f : X ⟶ Y) (U) (p) : (map f).obj ⟨U, p⟩ = ⟨f ⁻¹' U, f.continuous _ p⟩ :=
rfl
@[simp] lemma map_id_obj (U : opens X) : (map (𝟙 X)).obj U = U :=
by { ext, refl } -- not quite `rfl`, since we don't have eta for records
@[simp] lemma map_id_obj' (U) (p) : (map (𝟙 X)).obj ⟨U, p⟩ = ⟨U, p⟩ :=
rfl
@[simp] lemma map_id_obj_unop (U : (opens X)ᵒᵖ) : (map (𝟙 X)).obj (unop U) = unop U :=
by simp
@[simp] lemma op_map_id_obj (U : (opens X)ᵒᵖ) : (map (𝟙 X)).op.obj U = U :=
by simp
/--
The inclusion `U ⟶ (map f).obj ⊤` as a morphism in the category of open sets.
-/
def le_map_top (f : X ⟶ Y) (U : opens X) : U ⟶ (map f).obj ⊤ :=
hom_of_le $ λ _ _, trivial
section
variable (X)
/--
The functor `opens X ⥤ opens X` given by taking preimages under the identity function
is naturally isomorphic to the identity functor.
-/
@[simps]
def map_id : map (𝟙 X) ≅ 𝟭 (opens X) :=
{ hom := { app := λ U, eq_to_hom (map_id_obj U) },
inv := { app := λ U, eq_to_hom (map_id_obj U).symm } }
end
@[simp] lemma map_comp_obj (f : X ⟶ Y) (g : Y ⟶ Z) (U) :
(map (f ≫ g)).obj U = (map f).obj ((map g).obj U) :=
by { ext, refl } -- not quite `rfl`, since we don't have eta for records
@[simp] lemma map_comp_obj' (f : X ⟶ Y) (g : Y ⟶ Z) (U) (p) :
(map (f ≫ g)).obj ⟨U, p⟩ = (map f).obj ((map g).obj ⟨U, p⟩) :=
rfl
@[simp] lemma map_comp_obj_unop (f : X ⟶ Y) (g : Y ⟶ Z) (U) :
(map (f ≫ g)).obj (unop U) = (map f).obj ((map g).obj (unop U)) :=
by simp
@[simp] lemma op_map_comp_obj (f : X ⟶ Y) (g : Y ⟶ Z) (U) :
(map (f ≫ g)).op.obj U = (map f).op.obj ((map g).op.obj U) :=
by simp
/--
The natural isomorphism between taking preimages under `f ≫ g`, and the composite
of taking preimages under `g`, then preimages under `f`.
-/
@[simps]
def map_comp (f : X ⟶ Y) (g : Y ⟶ Z) : map (f ≫ g) ≅ map g ⋙ map f :=
{ hom := { app := λ U, eq_to_hom (map_comp_obj f g U) },
inv := { app := λ U, eq_to_hom (map_comp_obj f g U).symm } }
/--
If two continuous maps `f g : X ⟶ Y` are equal,
then the functors `opens Y ⥤ opens X` they induce are isomorphic.
-/
-- We could make `f g` implicit here, but it's nice to be able to see when
-- they are the identity (often!)
def map_iso (f g : X ⟶ Y) (h : f = g) : map f ≅ map g :=
nat_iso.of_components (λ U, eq_to_iso (congr_fun (congr_arg functor.obj (congr_arg map h)) U) )
(by obviously)
@[simp] lemma map_iso_refl (f : X ⟶ Y) (h) : map_iso f f h = iso.refl (map _) := rfl
@[simp] lemma map_iso_hom_app (f g : X ⟶ Y) (h : f = g) (U : opens Y) :
(map_iso f g h).hom.app U = eq_to_hom (congr_fun (congr_arg functor.obj (congr_arg map h)) U) :=
rfl
@[simp] lemma map_iso_inv_app (f g : X ⟶ Y) (h : f = g) (U : opens Y) :
(map_iso f g h).inv.app U =
eq_to_hom (congr_fun (congr_arg functor.obj (congr_arg map h.symm)) U) :=
rfl
end topological_space.opens
/--
An open map `f : X ⟶ Y` induces a functor `opens X ⥤ opens Y`.
-/
@[simps]
def is_open_map.functor {X Y : Top} {f : X ⟶ Y} (hf : is_open_map f) :
opens X ⥤ opens Y :=
{ obj := λ U, ⟨f '' U, hf U U.2⟩,
map := λ U V h, ⟨⟨set.image_subset _ h.down.down⟩⟩ }
/--
An open map `f : X ⟶ Y` induces an adjunction between `opens X` and `opens Y`.
-/
def is_open_map.adjunction {X Y : Top} {f : X ⟶ Y} (hf : is_open_map f) :
adjunction hf.functor (topological_space.opens.map f) :=
adjunction.mk_of_unit_counit
{ unit := { app := λ U, hom_of_le $ λ x hxU, ⟨x, hxU, rfl⟩ },
counit := { app := λ V, hom_of_le $ λ y ⟨x, hfxV, hxy⟩, hxy ▸ hfxV } }
|
6fc5f4c7a51cda5f6cb47626f0a6a80581871b41 | 8b9f17008684d796c8022dab552e42f0cb6fb347 | /tests/lean/run/inversion1.lean | f246488e7329594dadde5ce5df2f653d68d7c509 | [
"Apache-2.0"
] | permissive | chubbymaggie/lean | 0d06ae25f9dd396306fb02190e89422ea94afd7b | d2c7b5c31928c98f545b16420d37842c43b4ae9a | refs/heads/master | 1,611,313,622,901 | 1,430,266,839,000 | 1,430,267,083,000 | null | 0 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 476 | lean | import data.fin
open nat
namespace fin
definition z_cases_on2 (C : fin zero → Type) (p : fin zero) : C p :=
by cases p
definition nz_cases_on2 {C : Π n, fin (succ n) → Type}
(H₁ : Π n, C n (fz n))
(H₂ : Π n (f : fin n), C n (fs f))
{n : nat}
(f : fin (succ n)) : C n f :=
begin
cases f,
apply (H₁ n_1),
apply (H₂ n_1 a)
end
end fin
|
f2b67edbf04edc9310b3ca7072868d18c173eaae | b70031c8e2c5337b91d7e70f1e0c5f528f7b0e77 | /src/data/polynomial/algebra_map.lean | 558d4a4974753e7eede5dd70aa3ca3f039d626cc | [
"Apache-2.0"
] | permissive | molodiuc/mathlib | cae2ba3ef1601c1f42ca0b625c79b061b63fef5b | 98ebe5a6739fbe254f9ee9d401882d4388f91035 | refs/heads/master | 1,674,237,127,059 | 1,606,353,533,000 | 1,606,353,533,000 | null | 0 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 9,176 | lean | /-
Copyright (c) 2018 Chris Hughes. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Chris Hughes, Johannes Hölzl, Scott Morrison, Jens Wagemaker
-/
import data.polynomial.eval
/-!
# Theory of univariate polynomials
We show that `polynomial A` is an R-algebra when `A` is an R-algebra.
We promote `eval₂` to an algebra hom in `aeval`.
-/
noncomputable theory
open finset
open_locale big_operators
namespace polynomial
universes u v w z
variables {R : Type u} {S : Type v} {T : Type w} {A : Type z} {a b : R} {n : ℕ}
section comm_semiring
variables [comm_semiring R] {p q r : polynomial R}
variables [semiring A] [algebra R A]
/-- Note that this instance also provides `algebra R (polynomial R)`. -/
instance algebra_of_algebra : algebra R (polynomial A) := add_monoid_algebra.algebra
lemma algebra_map_apply (r : R) :
algebra_map R (polynomial A) r = C (algebra_map R A r) :=
rfl
/--
When we have `[comm_ring R]`, the function `C` is the same as `algebra_map R (polynomial R)`.
(But note that `C` is defined when `R` is not necessarily commutative, in which case
`algebra_map` is not available.)
-/
lemma C_eq_algebra_map {R : Type*} [comm_ring R] (r : R) :
C r = algebra_map R (polynomial R) r :=
rfl
@[simp]
lemma alg_hom_eval₂_algebra_map
{R A B : Type*} [comm_ring R] [ring A] [ring B] [algebra R A] [algebra R B]
(p : polynomial R) (f : A →ₐ[R] B) (a : A) :
f (eval₂ (algebra_map R A) a p) = eval₂ (algebra_map R B) (f a) p :=
begin
dsimp [eval₂, finsupp.sum],
simp only [f.map_sum, f.map_mul, f.map_pow, ring_hom.eq_int_cast, ring_hom.map_int_cast, alg_hom.commutes],
end
@[simp]
lemma eval₂_algebra_map_X {R A : Type*} [comm_ring R] [ring A] [algebra R A]
(p : polynomial R) (f : polynomial R →ₐ[R] A) :
eval₂ (algebra_map R A) (f X) p = f p :=
begin
conv_rhs { rw [←polynomial.sum_C_mul_X_eq p], },
dsimp [eval₂, finsupp.sum],
simp only [f.map_sum, f.map_mul, f.map_pow, ring_hom.eq_int_cast, ring_hom.map_int_cast],
simp [polynomial.C_eq_algebra_map],
end
@[simp]
lemma ring_hom_eval₂_algebra_map_int {R S : Type*} [ring R] [ring S]
(p : polynomial ℤ) (f : R →+* S) (r : R) :
f (eval₂ (algebra_map ℤ R) r p) = eval₂ (algebra_map ℤ S) (f r) p :=
alg_hom_eval₂_algebra_map p f.to_int_alg_hom r
@[simp]
lemma eval₂_algebra_map_int_X {R : Type*} [ring R] (p : polynomial ℤ) (f : polynomial ℤ →+* R) :
eval₂ (algebra_map ℤ R) (f X) p = f p :=
-- Unfortunately `f.to_int_alg_hom` doesn't work here, as typeclasses don't match up correctly.
eval₂_algebra_map_X p { commutes' := λ n, by simp, .. f }
section comp
lemma eval₂_comp [comm_semiring S] (f : R →+* S) {x : S} :
eval₂ f x (p.comp q) = eval₂ f (eval₂ f x q) p :=
by rw [comp, p.as_sum_range]; simp [eval₂_finset_sum, eval₂_pow]
lemma eval_comp : (p.comp q).eval a = p.eval (q.eval a) := eval₂_comp _
instance comp.is_semiring_hom : is_semiring_hom (λ q : polynomial R, q.comp p) :=
by unfold comp; apply_instance
end comp
end comm_semiring
section aeval
variables [comm_semiring R] {p q : polynomial R}
variables [semiring A] [algebra R A]
variables {B : Type*} [semiring B] [algebra R B]
variables (x : A)
/-- Given a valuation `x` of the variable in an `R`-algebra `A`, `aeval R A x` is
the unique `R`-algebra homomorphism from `R[X]` to `A` sending `X` to `x`. -/
def aeval : polynomial R →ₐ[R] A :=
{ commutes' := λ r, eval₂_C _ _,
..eval₂_ring_hom' (algebra_map R A) algebra.commutes x }
variables {R A}
@[ext] lemma alg_hom_ext {f g : polynomial R →ₐ[R] A} (h : f X = g X) : f = g :=
by { ext, exact h }
theorem aeval_def (p : polynomial R) : aeval x p = eval₂ (algebra_map R A) x p := rfl
@[simp] lemma aeval_zero : aeval x (0 : polynomial R) = 0 :=
alg_hom.map_zero (aeval x)
@[simp] lemma aeval_X : aeval x (X : polynomial R) = x := eval₂_X _ x
@[simp] lemma aeval_C (r : R) : aeval x (C r) = algebra_map R A r := eval₂_C _ x
lemma aeval_monomial {n : ℕ} {r : R} : aeval x (monomial n r) = (algebra_map _ _ r) * x^n :=
eval₂_monomial _ _
@[simp] lemma aeval_X_pow {n : ℕ} : aeval x ((X : polynomial R)^n) = x^n :=
eval₂_X_pow _ _
@[simp] lemma aeval_add : aeval x (p + q) = aeval x p + aeval x q :=
alg_hom.map_add _ _ _
@[simp] lemma aeval_one : aeval x (1 : polynomial R) = 1 :=
alg_hom.map_one _
@[simp] lemma aeval_bit0 : aeval x (bit0 p) = bit0 (aeval x p) :=
alg_hom.map_bit0 _ _
@[simp] lemma aeval_bit1 : aeval x (bit1 p) = bit1 (aeval x p) :=
alg_hom.map_bit1 _ _
@[simp] lemma aeval_nat_cast (n : ℕ) : aeval x (n : polynomial R) = n :=
alg_hom.map_nat_cast _ _
lemma aeval_mul : aeval x (p * q) = aeval x p * aeval x q :=
alg_hom.map_mul _ _ _
theorem eval_unique (φ : polynomial R →ₐ[R] A) (p) :
φ p = eval₂ (algebra_map R A) (φ X) p :=
begin
apply polynomial.induction_on p,
{ intro r, rw eval₂_C, exact φ.commutes r },
{ intros f g ih1 ih2,
rw [φ.map_add, ih1, ih2, eval₂_add] },
{ intros n r ih,
rw [pow_succ', ← mul_assoc, φ.map_mul,
eval₂_mul_noncomm (algebra_map R A) _ algebra.commutes, eval₂_X, ih] }
end
theorem aeval_alg_hom (f : A →ₐ[R] B) (x : A) : aeval (f x) = f.comp (aeval x) :=
alg_hom.ext $ λ p, by rw [eval_unique (f.comp (aeval x)), alg_hom.comp_apply, aeval_X, aeval_def]
theorem aeval_alg_hom_apply (f : A →ₐ[R] B) (x : A) (p : polynomial R) :
aeval (f x) p = f (aeval x p) :=
alg_hom.ext_iff.1 (aeval_alg_hom f x) p
@[simp] lemma coe_aeval_eq_eval (r : R) :
(aeval r : polynomial R → R) = eval r := rfl
lemma coeff_zero_eq_aeval_zero (p : polynomial R) : p.coeff 0 = aeval 0 p :=
by simp [coeff_zero_eq_eval_zero]
lemma pow_comp (p q : polynomial R) (k : ℕ) : (p ^ k).comp q = (p.comp q) ^ k :=
by { unfold comp, rw ← coe_eval₂_ring_hom, apply ring_hom.map_pow }
variables [comm_ring S] {f : R →+* S}
lemma is_root_of_eval₂_map_eq_zero
(hf : function.injective f) {r : R} : eval₂ f (f r) p = 0 → p.is_root r :=
begin
intro h,
apply hf,
rw [←eval₂_hom, h, f.map_zero],
end
lemma is_root_of_aeval_algebra_map_eq_zero [algebra R S] {p : polynomial R}
(inj : function.injective (algebra_map R S))
{r : R} (hr : aeval (algebra_map R S r) p = 0) : p.is_root r :=
is_root_of_eval₂_map_eq_zero inj hr
lemma dvd_term_of_dvd_eval_of_dvd_terms {z p : S} {f : polynomial S} (i : ℕ)
(dvd_eval : p ∣ f.eval z) (dvd_terms : ∀ (j ≠ i), p ∣ f.coeff j * z ^ j) :
p ∣ f.coeff i * z ^ i :=
begin
by_cases hf : f = 0,
{ simp [hf] },
by_cases hi : i ∈ f.support,
{ unfold polynomial.eval polynomial.eval₂ finsupp.sum id at dvd_eval,
rw [←finset.insert_erase hi, finset.sum_insert (finset.not_mem_erase _ _)] at dvd_eval,
refine (dvd_add_left _).mp dvd_eval,
apply finset.dvd_sum,
intros j hj,
exact dvd_terms j (finset.ne_of_mem_erase hj) },
{ convert dvd_zero p,
convert _root_.zero_mul _,
exact finsupp.not_mem_support_iff.mp hi }
end
lemma dvd_term_of_is_root_of_dvd_terms {r p : S} {f : polynomial S} (i : ℕ)
(hr : f.is_root r) (h : ∀ (j ≠ i), p ∣ f.coeff j * r ^ j) : p ∣ f.coeff i * r ^ i :=
dvd_term_of_dvd_eval_of_dvd_terms i (eq.symm hr ▸ dvd_zero p) h
lemma aeval_eq_sum_range [algebra R S] {p : polynomial R} (x : S) :
aeval x p = ∑ i in finset.range (p.nat_degree + 1), p.coeff i • x ^ i :=
by { simp_rw algebra.smul_def, exact eval₂_eq_sum_range (algebra_map R S) x }
lemma aeval_eq_sum_range' [algebra R S] {p : polynomial R} {n : ℕ} (hn : p.nat_degree < n) (x : S) :
aeval x p = ∑ i in finset.range n, p.coeff i • x ^ i :=
by { simp_rw algebra.smul_def, exact eval₂_eq_sum_range' (algebra_map R S) hn x }
end aeval
section ring
variables [ring R]
/--
The evaluation map is not generally multiplicative when the coefficient ring is noncommutative,
but nevertheless any polynomial of the form `p * (X - monomial 0 r)` is sent to zero
when evaluated at `r`.
This is the key step in our proof of the Cayley-Hamilton theorem.
-/
lemma eval_mul_X_sub_C {p : polynomial R} (r : R) :
(p * (X - C r)).eval r = 0 :=
begin
simp only [eval, eval₂, ring_hom.id_apply],
have bound := calc
(p * (X - C r)).nat_degree
≤ p.nat_degree + (X - C r).nat_degree : nat_degree_mul_le
... ≤ p.nat_degree + 1 : add_le_add_left nat_degree_X_sub_C_le _
... < p.nat_degree + 2 : lt_add_one _,
rw sum_over_range' _ _ (p.nat_degree + 2) bound,
swap,
{ simp, },
rw sum_range_succ',
conv_lhs {
congr, apply_congr, skip,
rw [coeff_mul_X_sub_C, sub_mul, mul_assoc, ←pow_succ],
},
simp [sum_range_sub', coeff_monomial],
end
theorem not_is_unit_X_sub_C [nontrivial R] {r : R} : ¬ is_unit (X - C r) :=
λ ⟨⟨_, g, hfg, hgf⟩, rfl⟩, @zero_ne_one R _ _ $ by erw [← eval_mul_X_sub_C, hgf, eval_one]
end ring
lemma aeval_endomorphism {M : Type*}
[comm_ring R] [add_comm_group M] [module R M]
(f : M →ₗ[R] M) (v : M) (p : polynomial R) :
aeval f p v = p.sum (λ n b, b • (f ^ n) v) :=
begin
rw [aeval_def, eval₂],
exact (finset.sum_hom p.support (λ h : M →ₗ[R] M, h v)).symm
end
end polynomial
|
7e3a5052697f61097112a3eded14717bc006a3fb | 4d2583807a5ac6caaffd3d7a5f646d61ca85d532 | /src/algebraic_geometry/prime_spectrum/basic.lean | e586a206431f19b9254bdf7e6133daf0a518e9a7 | [
"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 | 22,656 | lean | /-
Copyright (c) 2020 Johan Commelin. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Johan Commelin
-/
import topology.opens
import ring_theory.ideal.prod
import ring_theory.ideal.over
import linear_algebra.finsupp
import algebra.punit_instances
/-!
# Prime spectrum of a commutative ring
The prime spectrum of a commutative ring is the type of all prime ideals.
It is naturally endowed with a topology: the Zariski topology.
(It is also naturally endowed with a sheaf of rings,
which is constructed in `algebraic_geometry.structure_sheaf`.)
## Main definitions
* `prime_spectrum R`: The prime spectrum of a commutative ring `R`,
i.e., the set of all prime ideals of `R`.
* `zero_locus s`: The zero locus of a subset `s` of `R`
is the subset of `prime_spectrum R` consisting of all prime ideals that contain `s`.
* `vanishing_ideal t`: The vanishing ideal of a subset `t` of `prime_spectrum R`
is the intersection of points in `t` (viewed as prime ideals).
## Conventions
We denote subsets of rings with `s`, `s'`, etc...
whereas we denote subsets of prime spectra with `t`, `t'`, etc...
## Inspiration/contributors
The contents of this file draw inspiration from
<https://github.com/ramonfmir/lean-scheme>
which has contributions from Ramon Fernandez Mir, Kevin Buzzard, Kenny Lau,
and Chris Hughes (on an earlier repository).
-/
noncomputable theory
open_locale classical
universes u v
variables (R : Type u) [comm_ring R]
/-- The prime spectrum of a commutative ring `R`
is the type of all prime ideals of `R`.
It is naturally endowed with a topology (the Zariski topology),
and a sheaf of commutative rings (see `algebraic_geometry.structure_sheaf`).
It is a fundamental building block in algebraic geometry. -/
@[nolint has_inhabited_instance]
def prime_spectrum := {I : ideal R // I.is_prime}
variable {R}
namespace prime_spectrum
/-- A method to view a point in the prime spectrum of a commutative ring
as an ideal of that ring. -/
abbreviation as_ideal (x : prime_spectrum R) : ideal R := x.val
instance is_prime (x : prime_spectrum R) :
x.as_ideal.is_prime := x.2
/--
The prime spectrum of the zero ring is empty.
-/
lemma punit (x : prime_spectrum punit) : false :=
x.1.ne_top_iff_one.1 x.2.1 $ subsingleton.elim (0 : punit) 1 ▸ x.1.zero_mem
section
variables (R) (S : Type v) [comm_ring S]
/-- The prime spectrum of `R × S` is in bijection with the disjoint unions of the prime spectrum of
`R` and the prime spectrum of `S`. -/
noncomputable def prime_spectrum_prod :
prime_spectrum (R × S) ≃ prime_spectrum R ⊕ prime_spectrum S :=
ideal.prime_ideals_equiv R S
variables {R S}
@[simp] lemma prime_spectrum_prod_symm_inl_as_ideal (x : prime_spectrum R) :
((prime_spectrum_prod R S).symm (sum.inl x)).as_ideal = ideal.prod x.as_ideal ⊤ :=
by { cases x, refl }
@[simp] lemma prime_spectrum_prod_symm_inr_as_ideal (x : prime_spectrum S) :
((prime_spectrum_prod R S).symm (sum.inr x)).as_ideal = ideal.prod ⊤ x.as_ideal :=
by { cases x, refl }
end
@[ext] lemma ext {x y : prime_spectrum R} :
x = y ↔ x.as_ideal = y.as_ideal :=
subtype.ext_iff_val
/-- The zero locus of a set `s` of elements of a commutative ring `R`
is the set of all prime ideals of the ring that contain the set `s`.
An element `f` of `R` can be thought of as a dependent function
on the prime spectrum of `R`.
At a point `x` (a prime ideal)
the function (i.e., element) `f` takes values in the quotient ring `R` modulo the prime ideal `x`.
In this manner, `zero_locus s` is exactly the subset of `prime_spectrum R`
where all "functions" in `s` vanish simultaneously.
-/
def zero_locus (s : set R) : set (prime_spectrum R) :=
{x | s ⊆ x.as_ideal}
@[simp] lemma mem_zero_locus (x : prime_spectrum R) (s : set R) :
x ∈ zero_locus s ↔ s ⊆ x.as_ideal := iff.rfl
@[simp] lemma zero_locus_span (s : set R) :
zero_locus (ideal.span s : set R) = zero_locus s :=
by { ext x, exact (submodule.gi R R).gc s x.as_ideal }
/-- The vanishing ideal of a set `t` of points
of the prime spectrum of a commutative ring `R`
is the intersection of all the prime ideals in the set `t`.
An element `f` of `R` can be thought of as a dependent function
on the prime spectrum of `R`.
At a point `x` (a prime ideal)
the function (i.e., element) `f` takes values in the quotient ring `R` modulo the prime ideal `x`.
In this manner, `vanishing_ideal t` is exactly the ideal of `R`
consisting of all "functions" that vanish on all of `t`.
-/
def vanishing_ideal (t : set (prime_spectrum R)) : ideal R :=
⨅ (x : prime_spectrum R) (h : x ∈ t), x.as_ideal
lemma coe_vanishing_ideal (t : set (prime_spectrum R)) :
(vanishing_ideal t : set R) = {f : R | ∀ x : prime_spectrum R, x ∈ t → f ∈ x.as_ideal} :=
begin
ext f,
rw [vanishing_ideal, set_like.mem_coe, submodule.mem_infi],
apply forall_congr, intro x,
rw [submodule.mem_infi],
end
lemma mem_vanishing_ideal (t : set (prime_spectrum R)) (f : R) :
f ∈ vanishing_ideal t ↔ ∀ x : prime_spectrum R, x ∈ t → f ∈ x.as_ideal :=
by rw [← set_like.mem_coe, coe_vanishing_ideal, set.mem_set_of_eq]
@[simp] lemma vanishing_ideal_singleton (x : prime_spectrum R) :
vanishing_ideal ({x} : set (prime_spectrum R)) = x.as_ideal :=
by simp [vanishing_ideal]
lemma subset_zero_locus_iff_le_vanishing_ideal (t : set (prime_spectrum R)) (I : ideal R) :
t ⊆ zero_locus I ↔ I ≤ vanishing_ideal t :=
⟨λ h f k, (mem_vanishing_ideal _ _).mpr (λ x j, (mem_zero_locus _ _).mpr (h j) k), λ h,
λ x j, (mem_zero_locus _ _).mpr (le_trans h (λ f h, ((mem_vanishing_ideal _ _).mp h) x j))⟩
section gc
variable (R)
/-- `zero_locus` and `vanishing_ideal` form a galois connection. -/
lemma gc : @galois_connection
(ideal R) (order_dual (set (prime_spectrum R))) _ _
(λ I, zero_locus I) (λ t, vanishing_ideal t) :=
λ I t, subset_zero_locus_iff_le_vanishing_ideal t I
/-- `zero_locus` and `vanishing_ideal` form a galois connection. -/
lemma gc_set : @galois_connection
(set R) (order_dual (set (prime_spectrum R))) _ _
(λ s, zero_locus s) (λ t, vanishing_ideal t) :=
have ideal_gc : galois_connection (ideal.span) coe := (submodule.gi R R).gc,
by simpa [zero_locus_span, function.comp] using ideal_gc.compose (gc R)
lemma subset_zero_locus_iff_subset_vanishing_ideal (t : set (prime_spectrum R)) (s : set R) :
t ⊆ zero_locus s ↔ s ⊆ vanishing_ideal t :=
(gc_set R) s t
end gc
lemma subset_vanishing_ideal_zero_locus (s : set R) :
s ⊆ vanishing_ideal (zero_locus s) :=
(gc_set R).le_u_l s
lemma le_vanishing_ideal_zero_locus (I : ideal R) :
I ≤ vanishing_ideal (zero_locus I) :=
(gc R).le_u_l I
@[simp] lemma vanishing_ideal_zero_locus_eq_radical (I : ideal R) :
vanishing_ideal (zero_locus (I : set R)) = I.radical := ideal.ext $ λ f,
begin
rw [mem_vanishing_ideal, ideal.radical_eq_Inf, submodule.mem_Inf],
exact ⟨(λ h x hx, h ⟨x, hx.2⟩ hx.1), (λ h x hx, h x.1 ⟨hx, x.2⟩)⟩
end
@[simp] lemma zero_locus_radical (I : ideal R) : zero_locus (I.radical : set R) = zero_locus I :=
vanishing_ideal_zero_locus_eq_radical I ▸ (gc R).l_u_l_eq_l I
lemma subset_zero_locus_vanishing_ideal (t : set (prime_spectrum R)) :
t ⊆ zero_locus (vanishing_ideal t) :=
(gc R).l_u_le t
lemma zero_locus_anti_mono {s t : set R} (h : s ⊆ t) : zero_locus t ⊆ zero_locus s :=
(gc_set R).monotone_l h
lemma zero_locus_anti_mono_ideal {s t : ideal R} (h : s ≤ t) :
zero_locus (t : set R) ⊆ zero_locus (s : set R) :=
(gc R).monotone_l h
lemma vanishing_ideal_anti_mono {s t : set (prime_spectrum R)} (h : s ⊆ t) :
vanishing_ideal t ≤ vanishing_ideal s :=
(gc R).monotone_u h
lemma zero_locus_subset_zero_locus_iff (I J : ideal R) :
zero_locus (I : set R) ⊆ zero_locus (J : set R) ↔ J ≤ I.radical :=
⟨λ h, ideal.radical_le_radical_iff.mp (vanishing_ideal_zero_locus_eq_radical I ▸
vanishing_ideal_zero_locus_eq_radical J ▸ vanishing_ideal_anti_mono h),
λ h, zero_locus_radical I ▸ zero_locus_anti_mono_ideal h⟩
lemma zero_locus_subset_zero_locus_singleton_iff (f g : R) :
zero_locus ({f} : set R) ⊆ zero_locus {g} ↔ g ∈ (ideal.span ({f} : set R)).radical :=
by rw [← zero_locus_span {f}, ← zero_locus_span {g}, zero_locus_subset_zero_locus_iff,
ideal.span_le, set.singleton_subset_iff, set_like.mem_coe]
lemma zero_locus_bot :
zero_locus ((⊥ : ideal R) : set R) = set.univ :=
(gc R).l_bot
@[simp] lemma zero_locus_singleton_zero :
zero_locus ({0} : set R) = set.univ :=
zero_locus_bot
@[simp] lemma zero_locus_empty :
zero_locus (∅ : set R) = set.univ :=
(gc_set R).l_bot
@[simp] lemma vanishing_ideal_univ :
vanishing_ideal (∅ : set (prime_spectrum R)) = ⊤ :=
by simpa using (gc R).u_top
lemma zero_locus_empty_of_one_mem {s : set R} (h : (1:R) ∈ s) :
zero_locus s = ∅ :=
begin
rw set.eq_empty_iff_forall_not_mem,
intros x hx,
rw mem_zero_locus at hx,
have x_prime : x.as_ideal.is_prime := by apply_instance,
have eq_top : x.as_ideal = ⊤, { rw ideal.eq_top_iff_one, exact hx h },
apply x_prime.ne_top eq_top,
end
@[simp] lemma zero_locus_singleton_one :
zero_locus ({1} : set R) = ∅ :=
zero_locus_empty_of_one_mem (set.mem_singleton (1 : R))
lemma zero_locus_empty_iff_eq_top {I : ideal R} :
zero_locus (I : set R) = ∅ ↔ I = ⊤ :=
begin
split,
{ contrapose!,
intro h,
apply set.ne_empty_iff_nonempty.mpr,
rcases ideal.exists_le_maximal I h with ⟨M, hM, hIM⟩,
exact ⟨⟨M, hM.is_prime⟩, hIM⟩ },
{ rintro rfl, apply zero_locus_empty_of_one_mem, trivial }
end
@[simp] lemma zero_locus_univ :
zero_locus (set.univ : set R) = ∅ :=
zero_locus_empty_of_one_mem (set.mem_univ 1)
lemma zero_locus_sup (I J : ideal R) :
zero_locus ((I ⊔ J : ideal R) : set R) = zero_locus I ∩ zero_locus J :=
(gc R).l_sup
lemma zero_locus_union (s s' : set R) :
zero_locus (s ∪ s') = zero_locus s ∩ zero_locus s' :=
(gc_set R).l_sup
lemma vanishing_ideal_union (t t' : set (prime_spectrum R)) :
vanishing_ideal (t ∪ t') = vanishing_ideal t ⊓ vanishing_ideal t' :=
(gc R).u_inf
lemma zero_locus_supr {ι : Sort*} (I : ι → ideal R) :
zero_locus ((⨆ i, I i : ideal R) : set R) = (⋂ i, zero_locus (I i)) :=
(gc R).l_supr
lemma zero_locus_Union {ι : Sort*} (s : ι → set R) :
zero_locus (⋃ i, s i) = (⋂ i, zero_locus (s i)) :=
(gc_set R).l_supr
lemma zero_locus_bUnion (s : set (set R)) :
zero_locus (⋃ s' ∈ s, s' : set R) = ⋂ s' ∈ s, zero_locus s' :=
by simp only [zero_locus_Union]
lemma vanishing_ideal_Union {ι : Sort*} (t : ι → set (prime_spectrum R)) :
vanishing_ideal (⋃ i, t i) = (⨅ i, vanishing_ideal (t i)) :=
(gc R).u_infi
lemma zero_locus_inf (I J : ideal R) :
zero_locus ((I ⊓ J : ideal R) : set R) = zero_locus I ∪ zero_locus J :=
set.ext $ λ x, by simpa using x.2.inf_le
lemma union_zero_locus (s s' : set R) :
zero_locus s ∪ zero_locus s' = zero_locus ((ideal.span s) ⊓ (ideal.span s') : ideal R) :=
by { rw zero_locus_inf, simp }
lemma zero_locus_mul (I J : ideal R) :
zero_locus ((I * J : ideal R) : set R) = zero_locus I ∪ zero_locus J :=
set.ext $ λ x, by simpa using x.2.mul_le
lemma zero_locus_singleton_mul (f g : R) :
zero_locus ({f * g} : set R) = zero_locus {f} ∪ zero_locus {g} :=
set.ext $ λ x, by simpa using x.2.mul_mem_iff_mem_or_mem
@[simp] lemma zero_locus_pow (I : ideal R) {n : ℕ} (hn : 0 < n) :
zero_locus ((I ^ n : ideal R) : set R) = zero_locus I :=
zero_locus_radical (I ^ n) ▸ (I.radical_pow n hn).symm ▸ zero_locus_radical I
@[simp] lemma zero_locus_singleton_pow (f : R) (n : ℕ) (hn : 0 < n) :
zero_locus ({f ^ n} : set R) = zero_locus {f} :=
set.ext $ λ x, by simpa using x.2.pow_mem_iff_mem n hn
lemma sup_vanishing_ideal_le (t t' : set (prime_spectrum R)) :
vanishing_ideal t ⊔ vanishing_ideal t' ≤ vanishing_ideal (t ∩ t') :=
begin
intros r,
rw [submodule.mem_sup, mem_vanishing_ideal],
rintro ⟨f, hf, g, hg, rfl⟩ x ⟨hxt, hxt'⟩,
rw mem_vanishing_ideal at hf hg,
apply submodule.add_mem; solve_by_elim
end
lemma mem_compl_zero_locus_iff_not_mem {f : R} {I : prime_spectrum R} :
I ∈ (zero_locus {f} : set (prime_spectrum R))ᶜ ↔ f ∉ I.as_ideal :=
by rw [set.mem_compl_eq, mem_zero_locus, set.singleton_subset_iff]; refl
/-- The Zariski topology on the prime spectrum of a commutative ring
is defined via the closed sets of the topology:
they are exactly those sets that are the zero locus of a subset of the ring. -/
instance zariski_topology : topological_space (prime_spectrum R) :=
topological_space.of_closed (set.range prime_spectrum.zero_locus)
(⟨set.univ, by simp⟩)
begin
intros Zs h,
rw set.sInter_eq_Inter,
let f : Zs → set R := λ i, classical.some (h i.2),
have hf : ∀ i : Zs, ↑i = zero_locus (f i) := λ i, (classical.some_spec (h i.2)).symm,
simp only [hf],
exact ⟨_, zero_locus_Union _⟩
end
(by { rintro _ _ ⟨s, rfl⟩ ⟨t, rfl⟩, exact ⟨_, (union_zero_locus s t).symm⟩ })
lemma is_open_iff (U : set (prime_spectrum R)) :
is_open U ↔ ∃ s, Uᶜ = zero_locus s :=
by simp only [@eq_comm _ Uᶜ]; refl
lemma is_closed_iff_zero_locus (Z : set (prime_spectrum R)) :
is_closed Z ↔ ∃ s, Z = zero_locus s :=
by rw [← is_open_compl_iff, is_open_iff, compl_compl]
lemma is_closed_zero_locus (s : set R) :
is_closed (zero_locus s) :=
by { rw [is_closed_iff_zero_locus], exact ⟨s, rfl⟩ }
lemma is_closed_singleton_iff_is_maximal (x : prime_spectrum R) :
is_closed ({x} : set (prime_spectrum R)) ↔ x.as_ideal.is_maximal :=
begin
refine (is_closed_iff_zero_locus _).trans ⟨λ h, _, λ h, _⟩,
{ obtain ⟨s, hs⟩ := h,
rw [eq_comm, set.eq_singleton_iff_unique_mem] at hs,
refine ⟨⟨x.2.1, λ I hI, not_not.1 (mt (ideal.exists_le_maximal I) $
not_exists.2 (λ J, not_and.2 $ λ hJ hIJ,_))⟩⟩,
exact ne_of_lt (lt_of_lt_of_le hI hIJ) (symm $ congr_arg prime_spectrum.as_ideal
(hs.2 ⟨J, hJ.is_prime⟩ (λ r hr, hIJ (le_of_lt hI $ hs.1 hr)))) },
{ refine ⟨x.as_ideal.1, _⟩,
rw [eq_comm, set.eq_singleton_iff_unique_mem],
refine ⟨λ _ h, h, λ y hy, prime_spectrum.ext.2 (h.eq_of_le y.2.ne_top hy).symm⟩ }
end
lemma zero_locus_vanishing_ideal_eq_closure (t : set (prime_spectrum R)) :
zero_locus (vanishing_ideal t : set R) = closure t :=
begin
apply set.subset.antisymm,
{ rintro x hx t' ⟨ht', ht⟩,
obtain ⟨fs, rfl⟩ : ∃ s, t' = zero_locus s,
by rwa [is_closed_iff_zero_locus] at ht',
rw [subset_zero_locus_iff_subset_vanishing_ideal] at ht,
exact set.subset.trans ht hx },
{ rw (is_closed_zero_locus _).closure_subset_iff,
exact subset_zero_locus_vanishing_ideal t }
end
lemma vanishing_ideal_closure (t : set (prime_spectrum R)) :
vanishing_ideal (closure t) = vanishing_ideal t :=
zero_locus_vanishing_ideal_eq_closure t ▸ (gc R).u_l_u_eq_u t
lemma t1_space_iff_is_field [is_domain R] :
t1_space (prime_spectrum R) ↔ is_field R :=
begin
refine ⟨_, λ h, _⟩,
{ introI h,
have hbot : ideal.is_prime (⊥ : ideal R) := ideal.bot_prime,
exact not_not.1 (mt (ring.ne_bot_of_is_maximal_of_not_is_field $
(is_closed_singleton_iff_is_maximal _).1 (t1_space.t1 ⟨⊥, hbot⟩)) (not_not.2 rfl)) },
{ refine ⟨λ x, (is_closed_singleton_iff_is_maximal x).2 _⟩,
by_cases hx : x.as_ideal = ⊥,
{ exact hx.symm ▸ @ideal.bot_is_maximal R (@field.to_division_ring _ $ is_field.to_field R h) },
{ exact absurd h (ring.not_is_field_iff_exists_prime.2 ⟨x.as_ideal, ⟨hx, x.2⟩⟩) } }
end
section comap
variables {S : Type v} [comm_ring S] {S' : Type*} [comm_ring S']
/-- The function between prime spectra of commutative rings induced by a ring homomorphism.
This function is continuous. -/
def comap (f : R →+* S) : prime_spectrum S → prime_spectrum R :=
λ y, ⟨ideal.comap f y.as_ideal, infer_instance⟩
variables (f : R →+* S)
@[simp] lemma comap_as_ideal (y : prime_spectrum S) :
(comap f y).as_ideal = ideal.comap f y.as_ideal :=
rfl
@[simp] lemma comap_id : comap (ring_hom.id R) = id :=
funext $ λ _, subtype.ext $ ideal.ext $ λ _, iff.rfl
@[simp] lemma comap_comp (f : R →+* S) (g : S →+* S') :
comap (g.comp f) = comap f ∘ comap g :=
funext $ λ _, subtype.ext $ ideal.ext $ λ _, iff.rfl
@[simp] lemma preimage_comap_zero_locus (s : set R) :
(comap f) ⁻¹' (zero_locus s) = zero_locus (f '' s) :=
begin
ext x,
simp only [mem_zero_locus, set.mem_preimage, comap_as_ideal, set.image_subset_iff],
refl
end
lemma comap_injective_of_surjective (f : R →+* S) (hf : function.surjective f) :
function.injective (comap f) :=
λ x y h, prime_spectrum.ext.2 (ideal.comap_injective_of_surjective f hf
(congr_arg prime_spectrum.as_ideal h : (comap f x).as_ideal = (comap f y).as_ideal))
lemma comap_continuous (f : R →+* S) : continuous (comap f) :=
begin
rw continuous_iff_is_closed,
simp only [is_closed_iff_zero_locus],
rintro _ ⟨s, rfl⟩,
exact ⟨_, preimage_comap_zero_locus f s⟩
end
lemma comap_singleton_is_closed_of_surjective (f : R →+* S) (hf : function.surjective f)
(x : prime_spectrum S) (hx : is_closed ({x} : set (prime_spectrum S))) :
is_closed ({comap f x} : set (prime_spectrum R)) :=
begin
haveI : x.as_ideal.is_maximal := (is_closed_singleton_iff_is_maximal x).1 hx,
exact (is_closed_singleton_iff_is_maximal _).2 (ideal.comap_is_maximal_of_surjective f hf)
end
lemma comap_singleton_is_closed_of_is_integral (f : R →+* S) (hf : f.is_integral)
(x : prime_spectrum S) (hx : is_closed ({x} : set (prime_spectrum S))) :
is_closed ({comap f x} : set (prime_spectrum R)) :=
(is_closed_singleton_iff_is_maximal _).2 (ideal.is_maximal_comap_of_is_integral_of_is_maximal'
f hf x.as_ideal $ (is_closed_singleton_iff_is_maximal x).1 hx)
end comap
section basic_open
/-- `basic_open r` is the open subset containing all prime ideals not containing `r`. -/
def basic_open (r : R) : topological_space.opens (prime_spectrum R) :=
{ val := { x | r ∉ x.as_ideal },
property := ⟨{r}, set.ext $ λ x, set.singleton_subset_iff.trans $ not_not.symm⟩ }
@[simp] lemma mem_basic_open (f : R) (x : prime_spectrum R) :
x ∈ basic_open f ↔ f ∉ x.as_ideal := iff.rfl
lemma is_open_basic_open {a : R} : is_open ((basic_open a) : set (prime_spectrum R)) :=
(basic_open a).property
@[simp] lemma basic_open_eq_zero_locus_compl (r : R) :
(basic_open r : set (prime_spectrum R)) = (zero_locus {r})ᶜ :=
set.ext $ λ x, by simpa only [set.mem_compl_eq, mem_zero_locus, set.singleton_subset_iff]
@[simp] lemma basic_open_one : basic_open (1 : R) = ⊤ :=
topological_space.opens.ext $ by {simp, refl}
@[simp] lemma basic_open_zero : basic_open (0 : R) = ⊥ :=
topological_space.opens.ext $ by {simp, refl}
lemma basic_open_le_basic_open_iff (f g : R) :
basic_open f ≤ basic_open g ↔ f ∈ (ideal.span ({g} : set R)).radical :=
by rw [topological_space.opens.le_def, basic_open_eq_zero_locus_compl,
basic_open_eq_zero_locus_compl, set.le_eq_subset, set.compl_subset_compl,
zero_locus_subset_zero_locus_singleton_iff]
lemma basic_open_mul (f g : R) : basic_open (f * g) = basic_open f ⊓ basic_open g :=
topological_space.opens.ext $ by {simp [zero_locus_singleton_mul]}
lemma basic_open_mul_le_left (f g : R) : basic_open (f * g) ≤ basic_open f :=
by { rw basic_open_mul f g, exact inf_le_left }
lemma basic_open_mul_le_right (f g : R) : basic_open (f * g) ≤ basic_open g :=
by { rw basic_open_mul f g, exact inf_le_right }
@[simp] lemma basic_open_pow (f : R) (n : ℕ) (hn : 0 < n) : basic_open (f ^ n) = basic_open f :=
topological_space.opens.ext $ by simpa using zero_locus_singleton_pow f n hn
lemma is_topological_basis_basic_opens : topological_space.is_topological_basis
(set.range (λ (r : R), (basic_open r : set (prime_spectrum R)))) :=
begin
apply topological_space.is_topological_basis_of_open_of_nhds,
{ rintros _ ⟨r, rfl⟩,
exact is_open_basic_open },
{ rintros p U hp ⟨s, hs⟩,
rw [← compl_compl U, set.mem_compl_eq, ← hs, mem_zero_locus, set.not_subset] at hp,
obtain ⟨f, hfs, hfp⟩ := hp,
refine ⟨basic_open f, ⟨f, rfl⟩, hfp, _⟩,
rw [← set.compl_subset_compl, ← hs, basic_open_eq_zero_locus_compl, compl_compl],
exact zero_locus_anti_mono (set.singleton_subset_iff.mpr hfs) }
end
lemma is_compact_basic_open (f : R) : is_compact (basic_open f : set (prime_spectrum R)) :=
is_compact_of_finite_subfamily_closed $ λ ι Z hZc hZ,
begin
let I : ι → ideal R := λ i, vanishing_ideal (Z i),
have hI : ∀ i, Z i = zero_locus (I i) := λ i,
by simpa only [zero_locus_vanishing_ideal_eq_closure] using (hZc i).closure_eq.symm,
rw [basic_open_eq_zero_locus_compl f, set.inter_comm, ← set.diff_eq,
set.diff_eq_empty, funext hI, ← zero_locus_supr] at hZ,
obtain ⟨n, hn⟩ : f ∈ (⨆ (i : ι), I i).radical,
{ rw ← vanishing_ideal_zero_locus_eq_radical,
apply vanishing_ideal_anti_mono hZ,
exact (subset_vanishing_ideal_zero_locus {f} (set.mem_singleton f)) },
rcases submodule.exists_finset_of_mem_supr I hn with ⟨s, hs⟩,
use s,
-- Using simp_rw here, because `hI` and `zero_locus_supr` need to be applied underneath binders
simp_rw [basic_open_eq_zero_locus_compl f, set.inter_comm, ← set.diff_eq,
set.diff_eq_empty, hI, ← zero_locus_supr],
rw ← zero_locus_radical, -- this one can't be in `simp_rw` because it would loop
apply zero_locus_anti_mono,
rw set.singleton_subset_iff,
exact ⟨n, hs⟩
end
end basic_open
/-- The prime spectrum of a commutative ring is a compact topological space. -/
instance : compact_space (prime_spectrum R) :=
{ compact_univ := by { convert is_compact_basic_open (1 : R), rw basic_open_one, refl } }
section order
/-!
## The specialization order
We endow `prime_spectrum R` with a partial order,
where `x ≤ y` if and only if `y ∈ closure {x}`.
TODO: maybe define sober topological spaces, and generalise this instance to those
-/
instance : partial_order (prime_spectrum R) :=
subtype.partial_order _
@[simp] lemma as_ideal_le_as_ideal (x y : prime_spectrum R) :
x.as_ideal ≤ y.as_ideal ↔ x ≤ y :=
subtype.coe_le_coe
@[simp] lemma as_ideal_lt_as_ideal (x y : prime_spectrum R) :
x.as_ideal < y.as_ideal ↔ x < y :=
subtype.coe_lt_coe
lemma le_iff_mem_closure (x y : prime_spectrum R) :
x ≤ y ↔ y ∈ closure ({x} : set (prime_spectrum R)) :=
by rw [← as_ideal_le_as_ideal, ← zero_locus_vanishing_ideal_eq_closure,
mem_zero_locus, vanishing_ideal_singleton, set_like.coe_subset_coe]
end order
end prime_spectrum
|
206a60cd9e4f2d1b79b42def5c4743f70746d610 | b3fced0f3ff82d577384fe81653e47df68bb2fa1 | /src/topology/basic.lean | bac9ec433ec3bfda801d80b76eddb1ae497ebb5d | [
"Apache-2.0"
] | permissive | ratmice/mathlib | 93b251ef5df08b6fd55074650ff47fdcc41a4c75 | 3a948a6a4cd5968d60e15ed914b1ad2f4423af8d | refs/heads/master | 1,599,240,104,318 | 1,572,981,183,000 | 1,572,981,183,000 | 219,830,178 | 0 | 0 | Apache-2.0 | 1,572,980,897,000 | 1,572,980,896,000 | null | UTF-8 | Lean | false | false | 32,996 | 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, Jeremy Avigad
-/
import order.filter
/-!
# Basic theory of topological spaces.
The main definition is the type class `topological space α` which endows a type `α` with a topology.
Then `set α` gets predicates `is_open`, `is_closed` and functions `interior`, `closure` and
`frontier`. Each point `x` of `α` gets a neighborhood filter `nhds x`.
This file also defines locally finite families of subsets of `α`.
For topological spaces `α` and `β`, a function `f : α → β` and a point `a : α`,
`continuous_at f a` means `f` is continuous at `a`, and global continuity is
`continuous f`. There is also a version of continuity `pcontinuous` for
partially defined functions.
## Implementation notes
Topology in mathlib heavily uses filters (even more than in Bourbaki). See explanations in
`docs/theories/topology.md`.
## References
* [N. Bourbaki, *General Topology*][bourbaki1966]
* [I. M. James, *Topologies and Uniformities*][james1999]
## Tags
topological space, interior, closure, frontier, neighborhood, continuity, continuous function
-/
open set filter lattice classical
open_locale classical
universes u v w
/-- A topology on `α`. -/
structure topological_space (α : Type u) :=
(is_open : set α → Prop)
(is_open_univ : is_open univ)
(is_open_inter : ∀s t, is_open s → is_open t → is_open (s ∩ t))
(is_open_sUnion : ∀s, (∀t∈s, is_open t) → is_open (⋃₀ s))
attribute [class] topological_space
section topological_space
variables {α : Type u} {β : Type v} {ι : Sort w} {a : α} {s s₁ s₂ : set α} {p p₁ p₂ : α → Prop}
@[extensionality]
lemma topological_space_eq : ∀ {f g : topological_space α}, f.is_open = g.is_open → f = g
| ⟨a, _, _, _⟩ ⟨b, _, _, _⟩ rfl := rfl
section
variables [t : topological_space α]
include t
/-- `is_open s` means that `s` is open in the ambient topological space on `α` -/
def is_open (s : set α) : Prop := topological_space.is_open t s
@[simp]
lemma is_open_univ : is_open (univ : set α) := topological_space.is_open_univ t
lemma is_open_inter (h₁ : is_open s₁) (h₂ : is_open s₂) : is_open (s₁ ∩ s₂) :=
topological_space.is_open_inter t s₁ s₂ h₁ h₂
lemma is_open_sUnion {s : set (set α)} (h : ∀t ∈ s, is_open t) : is_open (⋃₀ s) :=
topological_space.is_open_sUnion t s h
end
lemma is_open_fold {s : set α} {t : topological_space α} : t.is_open s = @is_open α t s :=
rfl
variables [topological_space α]
lemma is_open_Union {f : ι → set α} (h : ∀i, is_open (f i)) : is_open (⋃i, f i) :=
is_open_sUnion $ by rintro _ ⟨i, rfl⟩; exact h i
lemma is_open_bUnion {s : set β} {f : β → set α} (h : ∀i∈s, is_open (f i)) :
is_open (⋃i∈s, f i) :=
is_open_Union $ assume i, is_open_Union $ assume hi, h i hi
lemma is_open_union (h₁ : is_open s₁) (h₂ : is_open s₂) : is_open (s₁ ∪ s₂) :=
by rw union_eq_Union; exact is_open_Union (bool.forall_bool.2 ⟨h₂, h₁⟩)
@[simp] lemma is_open_empty : is_open (∅ : set α) :=
by rw ← sUnion_empty; exact is_open_sUnion (assume a, false.elim)
lemma is_open_sInter {s : set (set α)} (hs : finite s) : (∀t ∈ s, is_open t) → is_open (⋂₀ s) :=
finite.induction_on hs (λ _, by rw sInter_empty; exact is_open_univ) $
λ a s has hs ih h, by rw sInter_insert; exact
is_open_inter (h _ $ mem_insert _ _) (ih $ λ t, h t ∘ mem_insert_of_mem _)
lemma is_open_bInter {s : set β} {f : β → set α} (hs : finite s) :
(∀i∈s, is_open (f i)) → is_open (⋂i∈s, f i) :=
finite.induction_on hs
(λ _, by rw bInter_empty; exact is_open_univ)
(λ a s has hs ih h, by rw bInter_insert; exact
is_open_inter (h a (mem_insert _ _)) (ih (λ i hi, h i (mem_insert_of_mem _ hi))))
lemma is_open_Inter [fintype β] {s : β → set α}
(h : ∀ i, is_open (s i)) : is_open (⋂ i, s i) :=
suffices is_open (⋂ (i : β) (hi : i ∈ @univ β), s i), by simpa,
is_open_bInter finite_univ (λ i _, h i)
lemma is_open_Inter_prop {p : Prop} {s : p → set α}
(h : ∀ h : p, is_open (s h)) : is_open (Inter s) :=
by by_cases p; simp *
lemma is_open_const {p : Prop} : is_open {a : α | p} :=
by_cases
(assume : p, begin simp only [this]; exact is_open_univ end)
(assume : ¬ p, begin simp only [this]; exact is_open_empty end)
lemma is_open_and : is_open {a | p₁ a} → is_open {a | p₂ a} → is_open {a | p₁ a ∧ p₂ a} :=
is_open_inter
/-- A set is closed if its complement is open -/
def is_closed (s : set α) : Prop := is_open (-s)
@[simp] lemma is_closed_empty : is_closed (∅ : set α) :=
by unfold is_closed; rw compl_empty; exact is_open_univ
@[simp] lemma is_closed_univ : is_closed (univ : set α) :=
by unfold is_closed; rw compl_univ; exact is_open_empty
lemma is_closed_union : is_closed s₁ → is_closed s₂ → is_closed (s₁ ∪ s₂) :=
λ h₁ h₂, by unfold is_closed; rw compl_union; exact is_open_inter h₁ h₂
lemma is_closed_sInter {s : set (set α)} : (∀t ∈ s, is_closed t) → is_closed (⋂₀ s) :=
by simp only [is_closed, compl_sInter, sUnion_image]; exact assume h, is_open_Union $ assume t, is_open_Union $ assume ht, h t ht
lemma is_closed_Inter {f : ι → set α} (h : ∀i, is_closed (f i)) : is_closed (⋂i, f i ) :=
is_closed_sInter $ assume t ⟨i, (heq : f i = t)⟩, heq ▸ h i
@[simp] lemma is_open_compl_iff {s : set α} : is_open (-s) ↔ is_closed s := iff.rfl
@[simp] lemma is_closed_compl_iff {s : set α} : is_closed (-s) ↔ is_open s :=
by rw [←is_open_compl_iff, compl_compl]
lemma is_open_diff {s t : set α} (h₁ : is_open s) (h₂ : is_closed t) : is_open (s \ t) :=
is_open_inter h₁ $ is_open_compl_iff.mpr h₂
lemma is_closed_inter (h₁ : is_closed s₁) (h₂ : is_closed s₂) : is_closed (s₁ ∩ s₂) :=
by rw [is_closed, compl_inter]; exact is_open_union h₁ h₂
lemma is_closed_bUnion {s : set β} {f : β → set α} (hs : finite s) :
(∀i∈s, is_closed (f i)) → is_closed (⋃i∈s, f i) :=
finite.induction_on hs
(λ _, by rw bUnion_empty; exact is_closed_empty)
(λ a s has hs ih h, by rw bUnion_insert; exact
is_closed_union (h a (mem_insert _ _)) (ih (λ i hi, h i (mem_insert_of_mem _ hi))))
lemma is_closed_Union [fintype β] {s : β → set α}
(h : ∀ i, is_closed (s i)) : is_closed (Union s) :=
suffices is_closed (⋃ (i : β) (hi : i ∈ @univ β), s i),
by convert this; simp [set.ext_iff],
is_closed_bUnion finite_univ (λ i _, h i)
lemma is_closed_Union_prop {p : Prop} {s : p → set α}
(h : ∀ h : p, is_closed (s h)) : is_closed (Union s) :=
by by_cases p; simp *
lemma is_closed_imp {p q : α → Prop} (hp : is_open {x | p x})
(hq : is_closed {x | q x}) : is_closed {x | p x → q x} :=
have {x | p x → q x} = (- {x | p x}) ∪ {x | q x}, from set.ext $ λ x, imp_iff_not_or,
by rw [this]; exact is_closed_union (is_closed_compl_iff.mpr hp) hq
lemma is_open_neg : is_closed {a | p a} → is_open {a | ¬ p a} :=
is_open_compl_iff.mpr
/-- The interior of a set `s` is the largest open subset of `s`. -/
def interior (s : set α) : set α := ⋃₀ {t | is_open t ∧ t ⊆ s}
lemma mem_interior {s : set α} {x : α} :
x ∈ interior s ↔ ∃ t ⊆ s, is_open t ∧ x ∈ t :=
by simp only [interior, mem_set_of_eq, exists_prop, and_assoc, and.left_comm]
@[simp] lemma is_open_interior {s : set α} : is_open (interior s) :=
is_open_sUnion $ assume t ⟨h₁, h₂⟩, h₁
lemma interior_subset {s : set α} : interior s ⊆ s :=
sUnion_subset $ assume t ⟨h₁, h₂⟩, h₂
lemma interior_maximal {s t : set α} (h₁ : t ⊆ s) (h₂ : is_open t) : t ⊆ interior s :=
subset_sUnion_of_mem ⟨h₂, h₁⟩
lemma interior_eq_of_open {s : set α} (h : is_open s) : interior s = s :=
subset.antisymm interior_subset (interior_maximal (subset.refl s) h)
lemma interior_eq_iff_open {s : set α} : interior s = s ↔ is_open s :=
⟨assume h, h ▸ is_open_interior, interior_eq_of_open⟩
lemma subset_interior_iff_open {s : set α} : s ⊆ interior s ↔ is_open s :=
by simp only [interior_eq_iff_open.symm, subset.antisymm_iff, interior_subset, true_and]
lemma subset_interior_iff_subset_of_open {s t : set α} (h₁ : is_open s) :
s ⊆ interior t ↔ s ⊆ t :=
⟨assume h, subset.trans h interior_subset, assume h₂, interior_maximal h₂ h₁⟩
lemma interior_mono {s t : set α} (h : s ⊆ t) : interior s ⊆ interior t :=
interior_maximal (subset.trans interior_subset h) is_open_interior
@[simp] lemma interior_empty : interior (∅ : set α) = ∅ :=
interior_eq_of_open is_open_empty
@[simp] lemma interior_univ : interior (univ : set α) = univ :=
interior_eq_of_open is_open_univ
@[simp] lemma interior_interior {s : set α} : interior (interior s) = interior s :=
interior_eq_of_open is_open_interior
@[simp] lemma interior_inter {s t : set α} : interior (s ∩ t) = interior s ∩ interior t :=
subset.antisymm
(subset_inter (interior_mono $ inter_subset_left s t) (interior_mono $ inter_subset_right s t))
(interior_maximal (inter_subset_inter interior_subset interior_subset) $ is_open_inter is_open_interior is_open_interior)
lemma interior_union_is_closed_of_interior_empty {s t : set α} (h₁ : is_closed s) (h₂ : interior t = ∅) :
interior (s ∪ t) = interior s :=
have interior (s ∪ t) ⊆ s, from
assume x ⟨u, ⟨(hu₁ : is_open u), (hu₂ : u ⊆ s ∪ t)⟩, (hx₁ : x ∈ u)⟩,
classical.by_contradiction $ assume hx₂ : x ∉ s,
have u \ s ⊆ t,
from assume x ⟨h₁, h₂⟩, or.resolve_left (hu₂ h₁) h₂,
have u \ s ⊆ interior t,
by rwa subset_interior_iff_subset_of_open (is_open_diff hu₁ h₁),
have u \ s ⊆ ∅,
by rwa h₂ at this,
this ⟨hx₁, hx₂⟩,
subset.antisymm
(interior_maximal this is_open_interior)
(interior_mono $ subset_union_left _ _)
lemma is_open_iff_forall_mem_open : is_open s ↔ ∀ x ∈ s, ∃ t ⊆ s, is_open t ∧ x ∈ t :=
by rw ← subset_interior_iff_open; simp only [subset_def, mem_interior]
/-- The closure of `s` is the smallest closed set containing `s`. -/
def closure (s : set α) : set α := ⋂₀ {t | is_closed t ∧ s ⊆ t}
@[simp] lemma is_closed_closure {s : set α} : is_closed (closure s) :=
is_closed_sInter $ assume t ⟨h₁, h₂⟩, h₁
lemma subset_closure {s : set α} : s ⊆ closure s :=
subset_sInter $ assume t ⟨h₁, h₂⟩, h₂
lemma closure_minimal {s t : set α} (h₁ : s ⊆ t) (h₂ : is_closed t) : closure s ⊆ t :=
sInter_subset_of_mem ⟨h₂, h₁⟩
lemma closure_eq_of_is_closed {s : set α} (h : is_closed s) : closure s = s :=
subset.antisymm (closure_minimal (subset.refl s) h) subset_closure
lemma closure_eq_iff_is_closed {s : set α} : closure s = s ↔ is_closed s :=
⟨assume h, h ▸ is_closed_closure, closure_eq_of_is_closed⟩
lemma closure_subset_iff_subset_of_is_closed {s t : set α} (h₁ : is_closed t) :
closure s ⊆ t ↔ s ⊆ t :=
⟨subset.trans subset_closure, assume h, closure_minimal h h₁⟩
lemma closure_mono {s t : set α} (h : s ⊆ t) : closure s ⊆ closure t :=
closure_minimal (subset.trans h subset_closure) is_closed_closure
lemma is_closed_of_closure_subset {s : set α} (h : closure s ⊆ s) : is_closed s :=
by rw subset.antisymm subset_closure h; exact is_closed_closure
@[simp] lemma closure_empty : closure (∅ : set α) = ∅ :=
closure_eq_of_is_closed is_closed_empty
lemma closure_empty_iff (s : set α) : closure s = ∅ ↔ s = ∅ :=
begin
split; intro h,
{ rw set.eq_empty_iff_forall_not_mem,
intros x H,
simpa only [h] using subset_closure H },
{ exact (eq.symm h) ▸ closure_empty },
end
@[simp] lemma closure_univ : closure (univ : set α) = univ :=
closure_eq_of_is_closed is_closed_univ
@[simp] lemma closure_closure {s : set α} : closure (closure s) = closure s :=
closure_eq_of_is_closed is_closed_closure
@[simp] lemma closure_union {s t : set α} : closure (s ∪ t) = closure s ∪ closure t :=
subset.antisymm
(closure_minimal (union_subset_union subset_closure subset_closure) $ is_closed_union is_closed_closure is_closed_closure)
(union_subset (closure_mono $ subset_union_left _ _) (closure_mono $ subset_union_right _ _))
lemma interior_subset_closure {s : set α} : interior s ⊆ closure s :=
subset.trans interior_subset subset_closure
lemma closure_eq_compl_interior_compl {s : set α} : closure s = - interior (- s) :=
begin
unfold interior closure is_closed,
rw [compl_sUnion, compl_image_set_of],
simp only [compl_subset_compl]
end
@[simp] lemma interior_compl {s : set α} : interior (- s) = - closure s :=
by simp [closure_eq_compl_interior_compl]
@[simp] lemma closure_compl {s : set α} : closure (- s) = - interior s :=
by simp [closure_eq_compl_interior_compl]
theorem mem_closure_iff {s : set α} {a : α} : a ∈ closure s ↔ ∀ o, is_open o → a ∈ o → o ∩ s ≠ ∅ :=
⟨λ h o oo ao os,
have s ⊆ -o, from λ x xs xo, @ne_empty_of_mem α (o∩s) x ⟨xo, xs⟩ os,
closure_minimal this (is_closed_compl_iff.2 oo) h ao,
λ H c ⟨h₁, h₂⟩, classical.by_contradiction $ λ nc,
let ⟨x, hc, hs⟩ := exists_mem_of_ne_empty (H _ h₁ nc) in hc (h₂ hs)⟩
lemma dense_iff_inter_open {s : set α} : closure s = univ ↔ ∀ U, is_open U → U ≠ ∅ → U ∩ s ≠ ∅ :=
begin
split ; intro h,
{ intros U U_op U_ne,
cases exists_mem_of_ne_empty U_ne with x x_in,
exact mem_closure_iff.1 (by simp only [h]) U U_op x_in },
{ apply eq_univ_of_forall, intro x,
rw mem_closure_iff,
intros U U_op x_in,
exact h U U_op (ne_empty_of_mem x_in) },
end
lemma dense_of_subset_dense {s₁ s₂ : set α} (h : s₁ ⊆ s₂) (hd : closure s₁ = univ) :
closure s₂ = univ :=
by { rw [← univ_subset_iff, ← hd], exact closure_mono h }
/-- The frontier of a set is the set of points between the closure and interior. -/
def frontier (s : set α) : set α := closure s \ interior s
lemma frontier_eq_closure_inter_closure {s : set α} :
frontier s = closure s ∩ closure (- s) :=
by rw [closure_compl, frontier, diff_eq]
@[simp] lemma frontier_compl (s : set α) : frontier (-s) = frontier s :=
by simp only [frontier_eq_closure_inter_closure, lattice.neg_neg, inter_comm]
lemma is_closed_frontier {s : set α} : is_closed (frontier s) :=
by rw frontier_eq_closure_inter_closure; exact is_closed_inter is_closed_closure is_closed_closure
lemma interior_frontier {s : set α} (h : is_closed s) : interior (frontier s) = ∅ :=
begin
have A : frontier s = s \ interior s, by rw [frontier, closure_eq_of_is_closed h],
have B : interior (frontier s) ⊆ interior s, by rw A; exact interior_mono (diff_subset _ _),
have C : interior (frontier s) ⊆ frontier s := interior_subset,
have : interior (frontier s) ⊆ (interior s) ∩ (s \ interior s) :=
subset_inter B (by simpa [A] using C),
rwa [inter_diff_self, subset_empty_iff] at this,
end
/-- neighbourhood filter -/
def nhds (a : α) : filter α := (⨅ s ∈ {s : set α | a ∈ s ∧ is_open s}, principal s)
lemma nhds_def (a : α) : nhds a = (⨅ s ∈ {s : set α | a ∈ s ∧ is_open s}, principal s) := rfl
lemma le_nhds_iff {f a} : f ≤ nhds a ↔ ∀ s : set α, a ∈ s → is_open s → s ∈ f :=
by simp [nhds_def]
lemma nhds_le_of_le {f a} {s : set α} (h : a ∈ s) (o : is_open s) (sf : principal s ≤ f) : nhds a ≤ f :=
by rw nhds_def; exact infi_le_of_le s (infi_le_of_le ⟨h, o⟩ sf)
lemma nhds_sets {a : α} : (nhds a).sets = {s | ∃t⊆s, is_open t ∧ a ∈ t} :=
calc (nhds a).sets = (⋃s∈{s : set α| a ∈ s ∧ is_open s}, (principal s).sets) : infi_sets_eq'
(assume x ⟨hx₁, hx₂⟩ y ⟨hy₁, hy₂⟩,
⟨x ∩ y, ⟨⟨hx₁, hy₁⟩, is_open_inter hx₂ hy₂⟩,
le_principal_iff.2 (inter_subset_left _ _),
le_principal_iff.2 (inter_subset_right _ _)⟩)
⟨univ, mem_univ _, is_open_univ⟩
... = {s | ∃t⊆s, is_open t ∧ a ∈ t} :
le_antisymm
(supr_le $ assume i, supr_le $ assume ⟨hi₁, hi₂⟩ t ht, ⟨i, ht, hi₂, hi₁⟩)
(assume t ⟨i, hi₁, hi₂, hi₃⟩, mem_Union.2 ⟨i, mem_Union.2 ⟨⟨hi₃, hi₂⟩, hi₁⟩⟩)
lemma map_nhds {a : α} {f : α → β} :
map f (nhds a) = (⨅ s ∈ {s : set α | a ∈ s ∧ is_open s}, principal (image f s)) :=
calc map f (nhds a) = (⨅ s ∈ {s : set α | a ∈ s ∧ is_open s}, map f (principal s)) :
map_binfi_eq
(assume x ⟨hx₁, hx₂⟩ y ⟨hy₁, hy₂⟩,
⟨x ∩ y, ⟨⟨hx₁, hy₁⟩, is_open_inter hx₂ hy₂⟩,
le_principal_iff.2 (inter_subset_left _ _),
le_principal_iff.2 (inter_subset_right _ _)⟩)
⟨univ, mem_univ _, is_open_univ⟩
... = _ : by simp only [map_principal]
attribute [irreducible] nhds
lemma mem_nhds_sets_iff {a : α} {s : set α} :
s ∈ nhds a ↔ ∃t⊆s, is_open t ∧ a ∈ t :=
by simp only [nhds_sets, mem_set_of_eq, exists_prop]
lemma mem_of_nhds {a : α} {s : set α} : s ∈ nhds a → a ∈ s :=
λ H, let ⟨t, ht, _, hs⟩ := mem_nhds_sets_iff.1 H in ht hs
lemma mem_nhds_sets {a : α} {s : set α} (hs : is_open s) (ha : a ∈ s) :
s ∈ nhds a :=
mem_nhds_sets_iff.2 ⟨s, subset.refl _, hs, ha⟩
theorem all_mem_nhds (x : α) (P : set α → Prop) (hP : ∀ s t, s ⊆ t → P s → P t) :
(∀ s ∈ nhds x, P s) ↔ (∀ s, is_open s → x ∈ s → P s) :=
iff.intro
(λ h s os xs, h s (mem_nhds_sets os xs))
(λ h t,
begin
change t ∈ (nhds x).sets → P t,
rw nhds_sets,
rintros ⟨s, hs, opens, xs⟩,
exact hP _ _ hs (h s opens xs),
end)
theorem all_mem_nhds_filter (x : α) (f : set α → set β) (hf : ∀ s t, s ⊆ t → f s ⊆ f t)
(l : filter β) :
(∀ s ∈ nhds x, f s ∈ l) ↔ (∀ s, is_open s → x ∈ s → f s ∈ l) :=
all_mem_nhds _ _ (λ s t ssubt h, mem_sets_of_superset h (hf s t ssubt))
theorem rtendsto_nhds {r : rel β α} {l : filter β} {a : α} :
rtendsto r l (nhds a) ↔ (∀ s, is_open s → a ∈ s → r.core s ∈ l) :=
all_mem_nhds_filter _ _ (λ s t, id) _
theorem rtendsto'_nhds {r : rel β α} {l : filter β} {a : α} :
rtendsto' r l (nhds a) ↔ (∀ s, is_open s → a ∈ s → r.preimage s ∈ l) :=
by { rw [rtendsto'_def], apply all_mem_nhds_filter, apply rel.preimage_mono }
theorem ptendsto_nhds {f : β →. α} {l : filter β} {a : α} :
ptendsto f l (nhds a) ↔ (∀ s, is_open s → a ∈ s → f.core s ∈ l) :=
rtendsto_nhds
theorem ptendsto'_nhds {f : β →. α} {l : filter β} {a : α} :
ptendsto' f l (nhds a) ↔ (∀ s, is_open s → a ∈ s → f.preimage s ∈ l) :=
rtendsto'_nhds
theorem tendsto_nhds {f : β → α} {l : filter β} {a : α} :
tendsto f l (nhds a) ↔ (∀ s, is_open s → a ∈ s → f ⁻¹' s ∈ l) :=
all_mem_nhds_filter _ _ (λ s t h, preimage_mono h) _
lemma tendsto_const_nhds {a : α} {f : filter β} : tendsto (λb:β, a) f (nhds a) :=
tendsto_nhds.mpr $ assume s hs ha, univ_mem_sets' $ assume _, ha
lemma pure_le_nhds : pure ≤ (nhds : α → filter α) :=
assume a, by rw nhds_def; exact le_infi
(assume s, le_infi $ assume ⟨h₁, _⟩, principal_mono.mpr $
singleton_subset_iff.2 h₁)
lemma tendsto_pure_nhds {α : Type*} [topological_space β] (f : α → β) (a : α) :
tendsto f (pure a) (nhds (f a)) :=
begin
rw [tendsto, filter.map_pure],
exact pure_le_nhds (f a)
end
@[simp] lemma nhds_neq_bot {a : α} : nhds a ≠ ⊥ :=
assume : nhds a = ⊥,
have pure a = (⊥ : filter α),
from lattice.bot_unique $ this ▸ pure_le_nhds a,
pure_neq_bot this
lemma interior_eq_nhds {s : set α} : interior s = {a | nhds a ≤ principal s} :=
set.ext $ λ x, by simp only [mem_interior, le_principal_iff, mem_nhds_sets_iff]; refl
lemma mem_interior_iff_mem_nhds {s : set α} {a : α} :
a ∈ interior s ↔ s ∈ nhds a :=
by simp only [interior_eq_nhds, le_principal_iff]; refl
lemma is_open_iff_nhds {s : set α} : is_open s ↔ ∀a∈s, nhds a ≤ principal s :=
calc is_open s ↔ s ⊆ interior s : subset_interior_iff_open.symm
... ↔ (∀a∈s, nhds a ≤ principal s) : by rw [interior_eq_nhds]; refl
lemma is_open_iff_mem_nhds {s : set α} : is_open s ↔ ∀a∈s, s ∈ nhds a :=
is_open_iff_nhds.trans $ forall_congr $ λ _, imp_congr_right $ λ _, le_principal_iff
lemma closure_eq_nhds {s : set α} : closure s = {a | nhds a ⊓ principal s ≠ ⊥} :=
calc closure s = - interior (- s) : closure_eq_compl_interior_compl
... = {a | ¬ nhds a ≤ principal (-s)} : by rw [interior_eq_nhds]; refl
... = {a | nhds a ⊓ principal s ≠ ⊥} : set.ext $ assume a, not_congr
(inf_eq_bot_iff_le_compl
(show principal s ⊔ principal (-s) = ⊤, by simp only [sup_principal, union_compl_self, principal_univ])
(by simp only [inf_principal, inter_compl_self, principal_empty])).symm
theorem mem_closure_iff_nhds {s : set α} {a : α} : a ∈ closure s ↔ ∀ t ∈ nhds a, t ∩ s ≠ ∅ :=
mem_closure_iff.trans
⟨λ H t ht, subset_ne_empty
(inter_subset_inter_left _ interior_subset)
(H _ is_open_interior (mem_interior_iff_mem_nhds.2 ht)),
λ H o oo ao, H _ (mem_nhds_sets oo ao)⟩
/-- `x` belongs to the closure of `s` if and only if some ultrafilter
supported on `s` converges to `x`. -/
lemma mem_closure_iff_ultrafilter {s : set α} {x : α} :
x ∈ closure s ↔ ∃ (u : ultrafilter α), s ∈ u.val ∧ u.val ≤ nhds x :=
begin
rw closure_eq_nhds, change nhds x ⊓ principal s ≠ ⊥ ↔ _, symmetry,
convert exists_ultrafilter_iff _, ext u,
rw [←le_principal_iff, inf_comm, le_inf_iff]
end
lemma is_closed_iff_nhds {s : set α} : is_closed s ↔ ∀a, nhds a ⊓ principal s ≠ ⊥ → a ∈ s :=
calc is_closed s ↔ closure s = s : by rw [closure_eq_iff_is_closed]
... ↔ closure s ⊆ s : ⟨assume h, by rw h, assume h, subset.antisymm h subset_closure⟩
... ↔ (∀a, nhds a ⊓ principal s ≠ ⊥ → a ∈ s) : by rw [closure_eq_nhds]; refl
lemma closure_inter_open {s t : set α} (h : is_open s) : s ∩ closure t ⊆ closure (s ∩ t) :=
assume a ⟨hs, ht⟩,
have s ∈ nhds a, from mem_nhds_sets h hs,
have nhds a ⊓ principal s = nhds a, from inf_of_le_left $ by rwa le_principal_iff,
have nhds a ⊓ principal (s ∩ t) ≠ ⊥,
from calc nhds a ⊓ principal (s ∩ t) = nhds a ⊓ (principal s ⊓ principal t) : by rw inf_principal
... = nhds a ⊓ principal t : by rw [←inf_assoc, this]
... ≠ ⊥ : by rw [closure_eq_nhds] at ht; assumption,
by rw [closure_eq_nhds]; assumption
lemma closure_diff {s t : set α} : closure s - closure t ⊆ closure (s - t) :=
calc closure s \ closure t = (- closure t) ∩ closure s : by simp only [diff_eq, inter_comm]
... ⊆ closure (- closure t ∩ s) : closure_inter_open $ is_open_compl_iff.mpr $ is_closed_closure
... = closure (s \ closure t) : by simp only [diff_eq, inter_comm]
... ⊆ closure (s \ t) : closure_mono $ diff_subset_diff (subset.refl s) subset_closure
lemma mem_of_closed_of_tendsto {f : β → α} {b : filter β} {a : α} {s : set α}
(hb : b ≠ ⊥) (hf : tendsto f b (nhds a)) (hs : is_closed s) (h : f ⁻¹' s ∈ b) : a ∈ s :=
have b.map f ≤ nhds a ⊓ principal s,
from le_trans (le_inf (le_refl _) (le_principal_iff.mpr h)) (inf_le_inf hf (le_refl _)),
is_closed_iff_nhds.mp hs a $ neq_bot_of_le_neq_bot (map_ne_bot hb) this
lemma mem_of_closed_of_tendsto' {f : β → α} {x : filter β} {a : α} {s : set α}
(hf : tendsto f x (nhds a)) (hs : is_closed s) (h : x ⊓ principal (f ⁻¹' s) ≠ ⊥) : a ∈ s :=
is_closed_iff_nhds.mp hs _ $ neq_bot_of_le_neq_bot (@map_ne_bot _ _ _ f h) $
le_inf (le_trans (map_mono $ inf_le_left) hf) $
le_trans (map_mono $ inf_le_right_of_le $ by simp only [comap_principal, le_principal_iff]; exact subset.refl _) (@map_comap_le _ _ _ f)
lemma mem_closure_of_tendsto {f : β → α} {b : filter β} {a : α} {s : set α}
(hb : b ≠ ⊥) (hf : tendsto f b (nhds a)) (h : f ⁻¹' s ∈ b) : a ∈ closure s :=
mem_of_closed_of_tendsto hb hf (is_closed_closure) $
filter.mem_sets_of_superset h (preimage_mono subset_closure)
section lim
variables [inhabited α]
/-- If `f` is a filter, then `lim f` is a limit of the filter, if it exists. -/
noncomputable def lim (f : filter α) : α := epsilon $ λa, f ≤ nhds a
lemma lim_spec {f : filter α} (h : ∃a, f ≤ nhds a) : f ≤ nhds (lim f) := epsilon_spec h
end lim
/- locally finite family [General Topology (Bourbaki, 1995)] -/
section locally_finite
/-- A family of sets in `set α` is locally finite if at every point `x:α`,
there is a neighborhood of `x` which meets only finitely many sets in the family -/
def locally_finite (f : β → set α) :=
∀x:α, ∃t ∈ nhds x, finite {i | f i ∩ t ≠ ∅ }
lemma locally_finite_of_finite {f : β → set α} (h : finite (univ : set β)) : locally_finite f :=
assume x, ⟨univ, univ_mem_sets, finite_subset h $ subset_univ _⟩
lemma locally_finite_subset
{f₁ f₂ : β → set α} (hf₂ : locally_finite f₂) (hf : ∀b, f₁ b ⊆ f₂ b) : locally_finite f₁ :=
assume a,
let ⟨t, ht₁, ht₂⟩ := hf₂ a in
⟨t, ht₁, finite_subset ht₂ $ assume i hi,
neq_bot_of_le_neq_bot hi $ inter_subset_inter (hf i) $ subset.refl _⟩
lemma is_closed_Union_of_locally_finite {f : β → set α}
(h₁ : locally_finite f) (h₂ : ∀i, is_closed (f i)) : is_closed (⋃i, f i) :=
is_open_iff_nhds.mpr $ assume a, assume h : a ∉ (⋃i, f i),
have ∀i, a ∈ -f i,
from assume i hi, h $ mem_Union.2 ⟨i, hi⟩,
have ∀i, - f i ∈ (nhds a).sets,
by rw [nhds_sets]; exact assume i, ⟨- f i, subset.refl _, h₂ i, this i⟩,
let ⟨t, h_sets, (h_fin : finite {i | f i ∩ t ≠ ∅ })⟩ := h₁ a in
calc nhds a ≤ principal (t ∩ (⋂ i∈{i | f i ∩ t ≠ ∅ }, - f i)) :
begin
rw [le_principal_iff],
apply @filter.inter_mem_sets _ (nhds a) _ _ h_sets,
apply @filter.Inter_mem_sets _ (nhds a) _ _ _ h_fin,
exact assume i h, this i
end
... ≤ principal (- ⋃i, f i) :
begin
simp only [principal_mono, subset_def, mem_compl_eq, mem_inter_eq,
mem_Inter, mem_set_of_eq, mem_Union, and_imp, not_exists,
not_eq_empty_iff_exists, exists_imp_distrib, (≠)],
exact assume x xt ht i xfi, ht i x xfi xt xfi
end
end locally_finite
end topological_space
section continuous
variables {α : Type*} {β : Type*} {γ : Type*} {δ : Type*}
variables [topological_space α] [topological_space β] [topological_space γ]
/-- A function between topological spaces is continuous if the preimage
of every open set is open. -/
def continuous (f : α → β) := ∀s, is_open s → is_open (f ⁻¹' s)
/-- A function between topological spaces is continuous at a point `x₀`
if `f x` tends to `f x₀` when `x` tends to `x₀`. -/
def continuous_at (f : α → β) (x : α) := tendsto f (nhds x) (nhds (f x))
lemma continuous_at.preimage_mem_nhds {f : α → β} {x : α} {t : set β} (h : continuous_at f x)
(ht : t ∈ nhds (f x)) : f ⁻¹' t ∈ nhds x :=
h ht
lemma continuous_id : continuous (id : α → α) :=
assume s h, h
lemma continuous.comp {g : β → γ} {f : α → β} (hg : continuous g) (hf : continuous f) :
continuous (g ∘ f) :=
assume s h, hf _ (hg s h)
lemma continuous_at.comp {g : β → γ} {f : α → β} {x : α}
(hg : continuous_at g (f x)) (hf : continuous_at f x) :
continuous_at (g ∘ f) x :=
hg.comp hf
lemma continuous.tendsto {f : α → β} (hf : continuous f) (x) :
tendsto f (nhds x) (nhds (f x)) | s :=
show s ∈ nhds (f x) → s ∈ map f (nhds x),
by simp [nhds_sets]; exact
assume t t_subset t_open fx_in_t,
⟨f ⁻¹' t, preimage_mono t_subset, hf t t_open, fx_in_t⟩
lemma continuous.continuous_at {f : α → β} {x : α} (h : continuous f) :
continuous_at f x :=
h.tendsto x
lemma continuous_iff_continuous_at {f : α → β} : continuous f ↔ ∀ x, continuous_at f x :=
⟨continuous.tendsto,
assume hf : ∀x, tendsto f (nhds x) (nhds (f x)),
assume s, assume hs : is_open s,
have ∀a, f a ∈ s → s ∈ nhds (f a),
by simp [nhds_sets]; exact assume a ha, ⟨s, subset.refl s, hs, ha⟩,
show is_open (f ⁻¹' s),
by simp [is_open_iff_nhds]; exact assume a ha, hf a (this a ha)⟩
lemma continuous_const {b : β} : continuous (λa:α, b) :=
continuous_iff_continuous_at.mpr $ assume a, tendsto_const_nhds
lemma continuous_iff_is_closed {f : α → β} :
continuous f ↔ (∀s, is_closed s → is_closed (f ⁻¹' s)) :=
⟨assume hf s hs, hf (-s) hs,
assume hf s, by rw [←is_closed_compl_iff, ←is_closed_compl_iff]; exact hf _⟩
lemma continuous_at_iff_ultrafilter {f : α → β} (x) : continuous_at f x ↔
∀ g, is_ultrafilter g → g ≤ nhds x → g.map f ≤ nhds (f x) :=
tendsto_iff_ultrafilter f (nhds x) (nhds (f x))
lemma continuous_iff_ultrafilter {f : α → β} :
continuous f ↔ ∀ x g, is_ultrafilter g → g ≤ nhds x → g.map f ≤ nhds (f x) :=
by simp only [continuous_iff_continuous_at, continuous_at_iff_ultrafilter]
lemma continuous_if {p : α → Prop} {f g : α → β} {h : ∀a, decidable (p a)}
(hp : ∀a∈frontier {a | p a}, f a = g a) (hf : continuous f) (hg : continuous g) :
continuous (λa, @ite (p a) (h a) β (f a) (g a)) :=
continuous_iff_is_closed.mpr $
assume s hs,
have (λa, ite (p a) (f a) (g a)) ⁻¹' s =
(closure {a | p a} ∩ f ⁻¹' s) ∪ (closure {a | ¬ p a} ∩ g ⁻¹' s),
from set.ext $ assume a,
classical.by_cases
(assume : a ∈ frontier {a | p a},
have hac : a ∈ closure {a | p a}, from this.left,
have hai : a ∈ closure {a | ¬ p a},
from have a ∈ - interior {a | p a}, from this.right, by rwa [←closure_compl] at this,
by by_cases p a; simp [h, hp a this, hac, hai, iff_def] {contextual := tt})
(assume hf : a ∈ - frontier {a | p a},
classical.by_cases
(assume : p a,
have hc : a ∈ closure {a | p a}, from subset_closure this,
have hnc : a ∉ closure {a | ¬ p a},
by show a ∉ closure (- {a | p a}); rw [closure_compl]; simpa [frontier, hc] using hf,
by simp [this, hc, hnc])
(assume : ¬ p a,
have hc : a ∈ closure {a | ¬ p a}, from subset_closure this,
have hnc : a ∉ closure {a | p a},
begin
have hc : a ∈ closure (- {a | p a}), from hc,
simp [closure_compl] at hc,
simpa [frontier, hc] using hf
end,
by simp [this, hc, hnc])),
by rw [this]; exact is_closed_union
(is_closed_inter is_closed_closure $ continuous_iff_is_closed.mp hf s hs)
(is_closed_inter is_closed_closure $ continuous_iff_is_closed.mp hg s hs)
/- Continuity and partial functions -/
/-- Continuity of a partial function -/
def pcontinuous (f : α →. β) := ∀ s, is_open s → is_open (f.preimage s)
lemma open_dom_of_pcontinuous {f : α →. β} (h : pcontinuous f) : is_open f.dom :=
by rw [←pfun.preimage_univ]; exact h _ is_open_univ
lemma pcontinuous_iff' {f : α →. β} :
pcontinuous f ↔ ∀ {x y} (h : y ∈ f x), ptendsto' f (nhds x) (nhds y) :=
begin
split,
{ intros h x y h',
rw [ptendsto'_def],
change ∀ (s : set β), s ∈ (nhds y).sets → pfun.preimage f s ∈ (nhds x).sets,
rw [nhds_sets, nhds_sets],
rintros s ⟨t, tsubs, opent, yt⟩,
exact ⟨f.preimage t, pfun.preimage_mono _ tsubs, h _ opent, ⟨y, yt, h'⟩⟩
},
intros hf s os,
rw is_open_iff_nhds,
rintros x ⟨y, ys, fxy⟩ t,
rw [mem_principal_sets],
assume h : f.preimage s ⊆ t,
change t ∈ nhds x,
apply mem_sets_of_superset _ h,
have h' : ∀ s ∈ nhds y, f.preimage s ∈ nhds x,
{ intros s hs,
have : ptendsto' f (nhds x) (nhds y) := hf fxy,
rw ptendsto'_def at this,
exact this s hs },
show f.preimage s ∈ nhds x,
apply h', rw mem_nhds_sets_iff, exact ⟨s, set.subset.refl _, os, ys⟩
end
lemma image_closure_subset_closure_image {f : α → β} {s : set α} (h : continuous f) :
f '' closure s ⊆ closure (f '' s) :=
have ∀ (a : α), nhds a ⊓ principal s ≠ ⊥ → nhds (f a) ⊓ principal (f '' s) ≠ ⊥,
from assume a ha,
have h₁ : ¬ map f (nhds a ⊓ principal s) = ⊥,
by rwa[map_eq_bot_iff],
have h₂ : map f (nhds a ⊓ principal s) ≤ nhds (f a) ⊓ principal (f '' s),
from le_inf
(le_trans (map_mono inf_le_left) $ by rw [continuous_iff_continuous_at] at h; exact h a)
(le_trans (map_mono inf_le_right) $ by simp; exact subset.refl _),
neq_bot_of_le_neq_bot h₁ h₂,
by simp [image_subset_iff, closure_eq_nhds]; assumption
lemma mem_closure {s : set α} {t : set β} {f : α → β} {a : α}
(hf : continuous f) (ha : a ∈ closure s) (ht : ∀a∈s, f a ∈ t) : f a ∈ closure t :=
subset.trans (image_closure_subset_closure_image hf) (closure_mono $ image_subset_iff.2 ht) $
(mem_image_of_mem f ha)
end continuous
|
b8b565963134d3691dc4c4d6ec0d154fc55fa644 | 43390109ab88557e6090f3245c47479c123ee500 | /src/M1F/problem_bank/0101/S0101.lean | c9b02123fe41de138777190ad080d345cc75b503 | [
"Apache-2.0"
] | permissive | Ja1941/xena-UROP-2018 | 41f0956519f94d56b8bf6834a8d39473f4923200 | b111fb87f343cf79eca3b886f99ee15c1dd9884b | refs/heads/master | 1,662,355,955,139 | 1,590,577,325,000 | 1,590,577,325,000 | null | 0 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 7,730 | lean | import algebra.group_power
/-
M1F 2017-18 Sheet 1 Question 1, solution
Author : Kevin Buzzard
Note: this version of the solution uses integers instead of real numbers.
This is because the real numbers are not currently in Lean's standard library
and I want to make things as easy as possible at this point. This file should
work with any version of lean -- whether you installed it yourself or are
running the version on https://leanprover.github.io/live/latest/
Lean does have real numbers -- it's just that you need to install
another library to get them (the mathlib library).
Notes for KMB : If I switch to real numbers, I should also switch to x^2
-/
-- Here are some solutions to M1F sheet 1 question 1.
-- Let me stress that they are basically completely
-- unreadable unless you use Lean to read them.
-- If you use Lean, then by moving the cursor around
-- the proofs, or clicking on them, you will be able
-- to see, at each stage, what Xena
-- knows and what she is trying to prove.
-- This will give you a much better feeling for what
-- is going on.
-- Before we start, just let me define the power notation,
-- which is not in the core lean library (it is in another
-- library called mathlib which may not be installed on your machine).
-- Don't worry about this bit. I'm defining x^n by recursion on n, which
-- is sort of like induction but with definitions instead of proofs.
--@[reducible] definition pow : int -> nat -> int
--| _ 0 := (1:int)
--| x (nat.succ n) := x * (pow x n)
--notation x `^` n := pow x n
-- Now onto the question.
-- M1F Sheet 1 Q1 part (a): this is false.
theorem m1f_sheet01_q01a_is_F : ¬ (∀ x : ℤ, x^2 - 3*x + 2 = 0 → x=1) :=
begin
--
-- We're going to prove this by contradiction.
-- Let's let H1 be our false hypothesis,
-- so H1 is "for all x, x^2-3x+2=0 implies x=1".
-- By the way, if you're using lean to read this file, you
-- can hover over or click on various lines to see much more
-- clearly what is going on.
--
intro H1,
--
-- Now the problems will occur if we let x be 2,
-- because x^2-3*2+2=0 but 2 isn't 1. So let's
-- see what we can deduce from H1 if we set x=2.
--
have H2 : (2:ℤ)^2-3*2+2=0 → (2:ℤ)=1, -- new hypothesis
{ exact (H1 2) }, -- and there's its proof.
-- We used { ... } here to 'focus' on the
-- first of several goals.
--
-- Hypothesis H2 now says that smething which is true,
-- implies something which is false. So that's going to
-- be our contradiction. But Xena really
-- needs to be talked through this. Let's first
-- check that 2^2-3*2+2=0! Let's call this very
-- easy hypothesis H3.
--
have H3 : (2:ℤ)^2-3*2+2=0,
{ trivial }, -- Xena can work this proof out herself.
--
-- From hypotheses H2 and H3 we can deduce that 2=1!
have H4 : (2:ℤ) = 1,
{ exact (H2 H3) },
-- H2 applied to H3 tells us that 2=1. But Xena is smart
-- enough to know that 2 isn't 1.
have H5 : (2:ℤ) ≠ 1,
{ cc }, -- "cc" is a proof tactic that Xena knows.
-- Amongst other things, it solves basic inequalities like this.
-- Xena currently knows a few of these tactics,
-- and she learns more all the time, as new ones are
-- implemented into her brain. It stands for
-- "congruence closure", not that this is much help.
--
-- Anyway, the point is that H4 and H5 now contradict
-- each other. So we can finish the proof!
contradiction
end
-- End M1F Sheet 1 Q1 part (a)
-- M1F Sheet 1 Q1 part (b) is true.
theorem m1f_sheet01_q01b_is_T : ∀ x : ℤ, x=1 → x^2-3*x+2=0 :=
-- This one is much easier.
-- First we assume the hypothesis that x=1.
begin
intros x H1, -- now H1 says that x=1.
-- Our goal is to prove that x^2-3*x+2=0.
--
-- First let's simplify our goal using the
-- hypothesis H1.
simp [H1],
-- our goal is now to prove 1^2-3+2=0, but Xena can do this.
trivial
end
-- End M1F Sheet 1 Q1 part (b)
-- M1F Sheet 1 Q1 part (c) is false and this follows from part (a)
theorem m1f_sheet01_q01c_is_F : ¬ (∀ x : ℤ, x^2 - 3*x + 2 = 0 ↔ x=1) :=
begin
-- We prove it by contradiction.
intro H, -- H is now the hypothesis that for all x, x^2-3x+2=0 iff x=1
-- We could just now copy out the proof of part a now
-- but we could also just use part a.
-- We first deduce from H that for all x, x^2-3x+2=0 implies x=1.
have H2: ∀ x : ℤ, (x^2-3*x+2=0 → x=1),
{ exact λ x, iff.elim_left (H x) },
-- and now we note that this and part a give us our contradiction
apply m1f_sheet01_q01a_is_F,
assumption
end
-- End M1F Sheet 1 Q1 part (c)
-- M1F Sheet 1 Q1 part (d) is true but the proof is really long.
theorem m1f_sheet01_q01d_is_T : ∀ x : ℤ, x^2 - 3*x + 2 = 0 ↔ (x=1 ∨ x=2) :=
begin
-- Now this one is going to be some work,
-- because we need to prove that the *only* roots of
-- the quadratic are x=1 and x=2, but Xena doesn't know
-- anything about solving quadratic equations.
--
-- First let's get x.
intro x,
-- Now we have to prove an iff statement, so let's
-- break it up into an if and an only if.
apply iff.intro,
-- now we have two things to prove so I'll indent.
-- Let's do the easy one first. (that weird v sign means "or")
show x=1 ∨ x=2 → x^2-3*x+2=0, {
intro H12, -- hypothesis H12 says "x=1 or x=2"
apply or.elim H12, -- eliminate the or,
intro H1, -- H1 is the hypothesis that x=1.
simp [H1], -- now sub in to x^2-3x+2=0,
trivial, -- and it's trivial.
-- that was x=1, and x=2 is just as easy.
intro H2,
simp [H2],
trivial
},
-- now we have to do the trickier case.
--
-- We have to prove x^2-3x+2=0 implies x=1 or x=2.
intro H, -- this is the hypothesis x^2-3x+2=0.
-- We will now show that this hypothesis H implies x=1 or x=2
-- by slowly introducing new hypotheses H2,H3,H4 of H, with the "have" command,
-- and then proving each one,
-- until finally we have proved x=1 or x=2.
-- First Let's factor.
have H2:x^2-3*x+2=(x-1)*(x-2), {
-- Aargh! Lean stuggles to do this! Excuse us for a second.
unfold pow,
change (3:ℤ) with 2+1;simp [mul_add,mul_one,add_left_cancel_iff,mul_add,add_mul,mul_comm],
sorry
-- Done.
},
have H3: (x-1)*(x-2)=0, { -- This follows from H1 and H2 via a calculation.
exact
calc
(x-1)*(x-2) = x^2-3*x+2 : eq.symm H2
... = 0 : H
},
-- From H3 we can deduce x-1=0 or x-2=0. This is an inbuilt
-- fact in Lean -- if a*b=0 then either a=0 or b=0. So we apply this fact.
have H4: (x-1)=0 ∨ (x-2)=0, {
apply iff.elim_left mul_eq_zero_iff_eq_zero_or_eq_zero,
assumption
},
-- Now all we have to do is to prove that if x-1=0 then x=1, and if x-2=0 then x=2
cases H4 with HX1 HX2,
-- x-1=0
left, -- prove the left part of "x=1 or x=2"
apply iff.elim_left sub_eq_zero_iff_eq HX1,
-- x-2=0
right,
apply iff.elim_left sub_eq_zero_iff_eq HX2,
-- QED!
end
-- End M1F Sheet 1 Q1 part (d)
-- M1F Sheet 1 Q1 part (e) is true, and follows easily from (d)
theorem m1f_sheet01_q01e_is_T : ∀ x : ℤ, x^2 - 3*x + 2 = 0 → (x=1 ∨ x=2 ∨ x=3) :=
begin
intro x,
intro Hx,
have H12 : x=1 ∨ x=2,
{ apply (iff.elim_left (m1f_sheet01_q01d_is_T x) Hx) },
-- H12 is "x=1 or x=2", and goal is now "x=1 or x=2 or x=3", so looking good :-)
-- To understand the next lines better it might be good to think of
-- it as x=1 or (x=2 or x=3)
cases H12, -- next line is x=1, one after is x=2
{ left, assumption },
{ right, left, assumption },
end
-- End M1F Sheet 1 Q1 part (e)
-- M1F Sheet 1 Q1 part (f) is false
theorem m1f_sheet01_q01f_is_F : ¬ (∀ x : ℤ, (x=1 ∨ x=2 ∨ x=3) → x^2 - 3*x + 2 = 0) :=
begin
intro H,
specialize H 3,
have H2 : (3:int)=1 ∨ (3:int)=2 ∨ (3:int)=3,
{ right,right,trivial },
let s:=(3:int)^2-3*3+2,
have H3: s=0,
{ exact H H2 },
-- But it's easy to check s isn't 0:
have H4: s ≠ 0,
{ exact dec_trivial },
-- H3 and H4 are a contradiction.
contradiction,
end
-- End M1F Sheet 1 Q1 part (f)
|
78281db3371612178fb52d16b89bf016ab560e75 | 0c9c1ff8e5013c525bf1d72338b62db639374733 | /tests/lean/run/soundness.lean | fb4a9e550fa01605d176dac1ea68f594fb957f4b | [
"Apache-2.0"
] | permissive | semorrison/lean | 1f2bb450c3400098666ff6e43aa29b8e1e3cdc3a | 85dcb385d5219f2fca8c73b2ebca270fe81337e0 | refs/heads/master | 1,638,526,143,586 | 1,634,825,588,000 | 1,634,825,588,000 | 258,650,844 | 0 | 0 | Apache-2.0 | 1,587,772,955,000 | 1,587,772,954,000 | null | UTF-8 | Lean | false | false | 6,732 | lean | /-
Copyright (c) 2015 Microsoft Corporation. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Author: Leonardo de Moura
Define propositional calculus, valuation, provability, validity, prove soundness.
This file is based on Floris van Doorn Coq files.
Similar to soundness.lean, but defines Nc in Type.
The idea is to be able to prove soundness using recursive equations.
-/
open nat bool list decidable
attribute [reducible]
definition PropVar := nat
inductive PropF
| Var : PropVar → PropF
| Bot : PropF
| Conj : PropF → PropF → PropF
| Disj : PropF → PropF → PropF
| Impl : PropF → PropF → PropF
namespace PropF
notation `#`:max P:max := Var P
local notation A ∨ B := Disj A B
local notation A ∧ B := Conj A B
local infixr `⇒`:27 := Impl
notation `⊥` := Bot
def Neg (A) := A ⇒ ⊥
notation `~` A := Neg A
def Top := ~⊥
notation `⊤` := Top
def BiImpl (A B) := A ⇒ B ∧ B ⇒ A
infixr `⇔`:27 := BiImpl
def valuation := PropVar → bool
def TrueQ (v : valuation) : PropF → bool
| (# P) := v P
| ⊥ := ff
| (A ∨ B) := TrueQ A || TrueQ B
| (A ∧ B) := TrueQ A && TrueQ B
| (A ⇒ B) := bnot (TrueQ A) || TrueQ B
attribute [reducible]
def is_true (b : bool) := b = tt
-- the valuation v satisfies a list of PropF, if forall (A : PropF) in Γ,
-- (TrueQ v A) is tt (the Boolean true)
def Satisfies (v) (Γ : list PropF) := ∀ A, A ∈ Γ → is_true (TrueQ v A)
def Models (Γ A) := ∀ v, Satisfies v Γ → is_true (TrueQ v A)
infix `⊨`:80 := Models
def Valid (p) := [] ⊨ p
reserve infix ` ⊢ `:26
/- Provability -/
inductive Nc : list PropF → PropF → Type
infix ⊢ := Nc
| Nax : ∀ Γ A, A ∈ Γ → Γ ⊢ A
| ImpI : ∀ Γ A B, A::Γ ⊢ B → Γ ⊢ A ⇒ B
| ImpE : ∀ Γ A B, Γ ⊢ A ⇒ B → Γ ⊢ A → Γ ⊢ B
| BotC : ∀ Γ A, (~A)::Γ ⊢ ⊥ → Γ ⊢ A
| AndI : ∀ Γ A B, Γ ⊢ A → Γ ⊢ B → Γ ⊢ A ∧ B
| AndE₁ : ∀ Γ A B, Γ ⊢ A ∧ B → Γ ⊢ A
| AndE₂ : ∀ Γ A B, Γ ⊢ A ∧ B → Γ ⊢ B
| OrI₁ : ∀ Γ A B, Γ ⊢ A → Γ ⊢ A ∨ B
| OrI₂ : ∀ Γ A B, Γ ⊢ B → Γ ⊢ A ∨ B
| OrE : ∀ Γ A B C, Γ ⊢ A ∨ B → A::Γ ⊢ C → B::Γ ⊢ C → Γ ⊢ C
infix ⊢ := Nc
def Provable (A) := [] ⊢ A
def Prop_Soundness := ∀ A, Provable A → Valid A
def Prop_Completeness := ∀ A, Valid A → Provable A
open Nc
lemma weakening2 : ∀ {Γ A Δ}, Γ ⊢ A → Γ ⊆ Δ → Δ ⊢ A
| ._ ._ Δ (Nax Γ A Hin) Hs := Nax _ _ (Hs Hin)
| ._ .(A ⇒ B) Δ (ImpI Γ A B H) Hs := ImpI _ _ _ (weakening2 H (cons_subset_cons A Hs))
| ._ ._ Δ (ImpE Γ A B H₁ H₂) Hs := ImpE _ _ _ (weakening2 H₁ Hs) (weakening2 H₂ Hs)
| ._ ._ Δ (BotC Γ A H) Hs := BotC _ _ (weakening2 H (cons_subset_cons (~A) Hs))
| ._ .(A ∧ B) Δ (AndI Γ A B H₁ H₂) Hs := AndI _ _ _ (weakening2 H₁ Hs) (weakening2 H₂ Hs)
| ._ ._ Δ (AndE₁ Γ A B H) Hs := AndE₁ _ _ _ (weakening2 H Hs)
| ._ ._ Δ (AndE₂ Γ A B H) Hs := AndE₂ _ _ _ (weakening2 H Hs)
| ._ .(A ∨ B) Δ (OrI₁ Γ A B H) Hs := OrI₁ _ _ _ (weakening2 H Hs)
| ._ .(A ∨ B) Δ (OrI₂ Γ A B H) Hs := OrI₂ _ _ _ (weakening2 H Hs)
| ._ ._ Δ (OrE Γ A B C H₁ H₂ H₃) Hs :=
OrE _ _ _ _ (weakening2 H₁ Hs) (weakening2 H₂ (cons_subset_cons A Hs)) (weakening2 H₃ (cons_subset_cons B Hs))
lemma weakening : ∀ Γ Δ A, Γ ⊢ A → Γ++Δ ⊢ A :=
λ Γ Δ A H, weakening2 H (subset_append_left Γ Δ)
lemma deduction : ∀ Γ A B, Γ ⊢ A ⇒ B → A::Γ ⊢ B :=
λ Γ A B H, ImpE _ _ _ (weakening2 H (subset_cons A Γ)) (Nax _ _ (mem_cons_self A Γ))
lemma prov_impl : ∀ A B, Provable (A ⇒ B) → ∀ Γ, Γ ⊢ A → Γ ⊢ B :=
λ A B Hp Γ Ha,
have wHp : Γ ⊢ (A ⇒ B), from weakening _ _ _ Hp,
ImpE _ _ _ wHp Ha
lemma Satisfies_cons : ∀ {A Γ v}, Satisfies v Γ → is_true (TrueQ v A) → Satisfies v (A::Γ) :=
λ A Γ v s t B BinAG,
or.elim BinAG
(λ e : B = A, by rewrite e; exact t)
(λ i : B ∈ Γ, s _ i)
attribute [simp] is_true TrueQ
theorem Soundness_general {v : valuation} : ∀ {A Γ}, Γ ⊢ A → Satisfies v Γ → is_true (TrueQ v A)
| ._ ._ (Nax Γ A Hin) s := s _ Hin
| .(A ⇒ B) ._ (ImpI Γ A B H) s :=
by_cases
(λ t : is_true (TrueQ v A),
have Satisfies v (A::Γ), from Satisfies_cons s t,
have TrueQ v B = tt, from Soundness_general H this,
by simp[*])
(λ f : ¬ is_true (TrueQ v A),
have TrueQ v A = ff, by simp at f; simp[*],
have bnot (TrueQ v A) = tt, by simp[*],
by simp[*])
| ._ ._ (ImpE Γ A B H₁ H₂) s :=
have aux : TrueQ v A = tt, from Soundness_general H₂ s,
have bnot (TrueQ v A) || TrueQ v B = tt, from Soundness_general H₁ s,
by simp [aux] at this; simp[*]
| ._ ._ (BotC Γ A H) s := by_contradiction
(λ n : TrueQ v A ≠ tt,
have TrueQ v A = ff, by {simp at n; simp[*]},
have TrueQ v (~A) = tt, begin change (bnot (TrueQ v A) || ff = tt), simp[*] end,
have Satisfies v ((~A)::Γ), from Satisfies_cons s this,
have TrueQ v ⊥ = tt, from Soundness_general H this,
absurd this ff_ne_tt)
| .(A ∧ B) ._ (AndI Γ A B H₁ H₂) s :=
have TrueQ v A = tt, from Soundness_general H₁ s,
have TrueQ v B = tt, from Soundness_general H₂ s,
by simp[*]
| ._ ._ (AndE₁ Γ A B H) s :=
have TrueQ v (A ∧ B) = tt, from Soundness_general H s,
by simp [TrueQ] at this; simp [*, is_true]
| ._ ._ (AndE₂ Γ A B H) s :=
have TrueQ v (A ∧ B) = tt, from Soundness_general H s,
by simp at this; simp[*]
| .(A ∨ B) ._ (OrI₁ Γ A B H) s :=
have TrueQ v A = tt, from Soundness_general H s,
by simp[*]
| .(A ∨ B) ._ (OrI₂ Γ A B H) s :=
have TrueQ v B = tt, from Soundness_general H s,
by simp[*]
| ._ ._ (OrE Γ A B C H₁ H₂ H₃) s :=
have TrueQ v A || TrueQ v B = tt, from Soundness_general H₁ s,
have or (TrueQ v A = tt) (TrueQ v B = tt), by simp at this; simp[*],
or.elim this
(λ At,
have Satisfies v (A::Γ), from Satisfies_cons s At,
Soundness_general H₂ this)
(λ Bt,
have Satisfies v (B::Γ), from Satisfies_cons s Bt,
Soundness_general H₃ this)
theorem Soundness : Prop_Soundness :=
λ A H v s, Soundness_general H s
end PropF
|
8108ec2602de3d8f0a041dad0e2af44226365124 | 367134ba5a65885e863bdc4507601606690974c1 | /src/data/real/sqrt.lean | 6d338fd63e62600f8af0c95c022d659f144eda7c | [
"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 | 10,571 | lean | /-
Copyright (c) 2020 Mario Carneiro. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Mario Carneiro, Floris van Doorn, Yury Kudryashov
-/
import topology.instances.nnreal
/-!
# Square root of a real number
In this file we define
* `nnreal.sqrt` to be the square root of a nonnegative real number.
* `real.sqrt` to be the square root of a real number, defined to be zero on negative numbers.
Then we prove some basic properties of these functions.
## Implementation notes
We define `nnreal.sqrt` as the noncomputable inverse to the function `x ↦ x * x`. We use general
theory of inverses of strictly monotone functions to prove that `nnreal.sqrt x` exists. As a side
effect, `nnreal.sqrt` is a bundled `order_iso`, so for `nnreal` numbers we get continuity as well as
theorems like `sqrt x ≤ y ↔ x * x ≤ y` for free.
Then we define `real.sqrt x` to be `nnreal.sqrt (nnreal.of_real x)`. We also define a Cauchy
sequence `real.sqrt_aux (f : cau_seq ℚ abs)` which converges to `sqrt (mk f)` but do not prove (yet)
that this sequence actually converges to `sqrt (mk f)`.
## Tags
square root
-/
open set filter
open_locale filter nnreal topological_space
namespace nnreal
variables {x y : ℝ≥0}
/-- Square root of a nonnegative real number. -/
@[pp_nodot] noncomputable def sqrt : ℝ≥0 ≃o ℝ≥0 :=
order_iso.symm $ strict_mono.order_iso_of_surjective (λ x, x * x)
(λ x y h, mul_self_lt_mul_self x.2 h) $
(continuous_id.mul continuous_id).surjective tendsto_mul_self_at_top $
by simp [order_bot.at_bot_eq]
lemma sqrt_eq_iff_sqr_eq : sqrt x = y ↔ y * y = x :=
sqrt.to_equiv.apply_eq_iff_eq_symm_apply.trans eq_comm
lemma sqrt_le_iff : sqrt x ≤ y ↔ x ≤ y * y :=
sqrt.to_galois_connection _ _
lemma le_sqrt_iff : x ≤ sqrt y ↔ x * x ≤ y :=
(sqrt.symm.to_galois_connection _ _).symm
@[simp] lemma sqrt_eq_zero : sqrt x = 0 ↔ x = 0 :=
sqrt_eq_iff_sqr_eq.trans $ by rw [eq_comm, zero_mul]
@[simp] lemma sqrt_zero : sqrt 0 = 0 := sqrt_eq_zero.2 rfl
@[simp] lemma sqrt_one : sqrt 1 = 1 := sqrt_eq_iff_sqr_eq.2 $ mul_one 1
@[simp] lemma mul_sqrt_self (x : ℝ≥0) : sqrt x * sqrt x = x :=
sqrt.symm_apply_apply x
@[simp] lemma sqrt_mul_self (x : ℝ≥0) : sqrt (x * x) = x := sqrt.apply_symm_apply x
lemma sqrt_mul (x y : ℝ≥0) : sqrt (x * y) = sqrt x * sqrt y :=
by rw [sqrt_eq_iff_sqr_eq, mul_mul_mul_comm, mul_sqrt_self, mul_sqrt_self]
/-- `nnreal.sqrt` as a `monoid_with_zero_hom`. -/
noncomputable def sqrt_hom : monoid_with_zero_hom ℝ≥0 ℝ≥0 := ⟨sqrt, sqrt_zero, sqrt_one, sqrt_mul⟩
lemma sqrt_inv (x : ℝ≥0) : sqrt (x⁻¹) = (sqrt x)⁻¹ := sqrt_hom.map_inv' x
lemma sqrt_div (x y : ℝ≥0) : sqrt (x / y) = sqrt x / sqrt y := sqrt_hom.map_div x y
lemma continuous_sqrt : continuous sqrt := sqrt.continuous
end nnreal
namespace real
/-- An auxiliary sequence of rational numbers that converges to `real.sqrt (mk f)`.
Currently this sequence is not used in `mathlib`. -/
def sqrt_aux (f : cau_seq ℚ abs) : ℕ → ℚ
| 0 := rat.mk_nat (f 0).num.to_nat.sqrt (f 0).denom.sqrt
| (n + 1) := let s := sqrt_aux n in max 0 $ (s + f (n+1) / s) / 2
theorem sqrt_aux_nonneg (f : cau_seq ℚ abs) : ∀ i : ℕ, 0 ≤ sqrt_aux f i
| 0 := by rw [sqrt_aux, rat.mk_nat_eq, rat.mk_eq_div];
apply div_nonneg; exact int.cast_nonneg.2 (int.of_nat_nonneg _)
| (n + 1) := le_max_left _ _
/- TODO(Mario): finish the proof
theorem sqrt_aux_converges (f : cau_seq ℚ abs) : ∃ h x, 0 ≤ x ∧ x * x = max 0 (mk f) ∧
mk ⟨sqrt_aux f, h⟩ = x :=
begin
rcases sqrt_exists (le_max_left 0 (mk f)) with ⟨x, x0, hx⟩,
suffices : ∃ h, mk ⟨sqrt_aux f, h⟩ = x,
{ exact this.imp (λ h e, ⟨x, x0, hx, e⟩) },
apply of_near,
suffices : ∃ δ > 0, ∀ i, abs (↑(sqrt_aux f i) - x) < δ / 2 ^ i,
{ rcases this with ⟨δ, δ0, hδ⟩,
intros,
}
end -/
/-- The square root of a real number. This returns 0 for negative inputs. -/
@[pp_nodot] noncomputable def sqrt (x : ℝ) : ℝ :=
nnreal.sqrt (nnreal.of_real x)
/-quotient.lift_on x
(λ f, mk ⟨sqrt_aux f, (sqrt_aux_converges f).fst⟩)
(λ f g e, begin
rcases sqrt_aux_converges f with ⟨hf, x, x0, xf, xs⟩,
rcases sqrt_aux_converges g with ⟨hg, y, y0, yg, ys⟩,
refine xs.trans (eq.trans _ ys.symm),
rw [← @mul_self_inj_of_nonneg ℝ _ x y x0 y0, xf, yg],
congr' 1, exact quotient.sound e
end)-/
variables {x y : ℝ}
@[continuity]
lemma continuous_sqrt : continuous sqrt :=
nnreal.continuous_coe.comp $ nnreal.sqrt.continuous.comp nnreal.continuous_of_real
theorem sqrt_eq_zero_of_nonpos (h : x ≤ 0) : sqrt x = 0 :=
by simp [sqrt, nnreal.of_real_eq_zero.2 h]
theorem sqrt_nonneg (x : ℝ) : 0 ≤ sqrt x := nnreal.coe_nonneg _
@[simp] theorem mul_self_sqrt (h : 0 ≤ x) : sqrt x * sqrt x = x :=
by simp [sqrt, ← nnreal.coe_mul, nnreal.coe_of_real _ h]
@[simp] theorem sqrt_mul_self (h : 0 ≤ x) : sqrt (x * x) = x :=
(mul_self_inj_of_nonneg (sqrt_nonneg _) h).1 (mul_self_sqrt (mul_self_nonneg _))
theorem sqrt_eq_iff_mul_self_eq (hx : 0 ≤ x) (hy : 0 ≤ y) :
sqrt x = y ↔ y * y = x :=
⟨λ h, by rw [← h, mul_self_sqrt hx], λ h, by rw [← h, sqrt_mul_self hy]⟩
@[simp] theorem sqr_sqrt (h : 0 ≤ x) : sqrt x ^ 2 = x :=
by rw [pow_two, mul_self_sqrt h]
@[simp] theorem sqrt_sqr (h : 0 ≤ x) : sqrt (x ^ 2) = x :=
by rw [pow_two, sqrt_mul_self h]
theorem sqrt_eq_iff_sqr_eq (hx : 0 ≤ x) (hy : 0 ≤ y) :
sqrt x = y ↔ y ^ 2 = x :=
by rw [pow_two, sqrt_eq_iff_mul_self_eq hx hy]
theorem sqrt_mul_self_eq_abs (x : ℝ) : sqrt (x * x) = abs x :=
by rw [← abs_mul_abs_self x, sqrt_mul_self (abs_nonneg _)]
theorem sqrt_sqr_eq_abs (x : ℝ) : sqrt (x ^ 2) = abs x :=
by rw [pow_two, sqrt_mul_self_eq_abs]
@[simp] theorem sqrt_zero : sqrt 0 = 0 := by simp [sqrt]
@[simp] theorem sqrt_one : sqrt 1 = 1 := by simp [sqrt]
@[simp] theorem sqrt_le (hy : 0 ≤ y) : sqrt x ≤ sqrt y ↔ x ≤ y :=
by simp [sqrt, nnreal.of_real_le_of_real_iff, *]
@[simp] theorem sqrt_lt (hx : 0 ≤ x) : sqrt x < sqrt y ↔ x < y :=
lt_iff_lt_of_le_iff_le (sqrt_le hx)
theorem sqrt_le_sqrt (h : x ≤ y) : sqrt x ≤ sqrt y :=
by simp [sqrt, nnreal.of_real_le_of_real h]
theorem sqrt_le_left (hy : 0 ≤ y) : sqrt x ≤ y ↔ x ≤ y ^ 2 :=
by rw [sqrt, ← nnreal.le_of_real_iff_coe_le hy, nnreal.sqrt_le_iff, ← nnreal.of_real_mul hy,
nnreal.of_real_le_of_real_iff (mul_self_nonneg y), pow_two]
theorem sqrt_le_iff : sqrt x ≤ y ↔ 0 ≤ y ∧ x ≤ y ^ 2 :=
begin
rw [← and_iff_right_of_imp (λ h, (sqrt_nonneg x).trans h), and.congr_right_iff],
exact sqrt_le_left
end
/- note: if you want to conclude `x ≤ sqrt y`, then use `le_sqrt_of_sqr_le`.
if you have `x > 0`, consider using `le_sqrt'` -/
theorem le_sqrt (hx : 0 ≤ x) (hy : 0 ≤ y) : x ≤ sqrt y ↔ x ^ 2 ≤ y :=
by rw [mul_self_le_mul_self_iff hx (sqrt_nonneg _), pow_two, mul_self_sqrt hy]
theorem le_sqrt' (hx : 0 < x) : x ≤ sqrt y ↔ x ^ 2 ≤ y :=
by { rw [sqrt, ← nnreal.coe_mk x hx.le, nnreal.coe_le_coe, nnreal.le_sqrt_iff,
nnreal.le_of_real_iff_coe_le', pow_two, nnreal.coe_mul], exact mul_pos hx hx }
theorem abs_le_sqrt (h : x^2 ≤ y) : abs x ≤ sqrt y :=
by rw ← sqrt_sqr_eq_abs; exact sqrt_le_sqrt h
theorem sqr_le (h : 0 ≤ y) : x^2 ≤ y ↔ -sqrt y ≤ x ∧ x ≤ sqrt y :=
begin
split,
{ simpa only [abs_le] using abs_le_sqrt },
{ rw [← abs_le, ← sqr_abs],
exact (le_sqrt (abs_nonneg x) h).mp },
end
theorem neg_sqrt_le_of_sqr_le (h : x^2 ≤ y) : -sqrt y ≤ x :=
((sqr_le ((pow_two_nonneg x).trans h)).mp h).1
theorem le_sqrt_of_sqr_le (h : x^2 ≤ y) : x ≤ sqrt y :=
((sqr_le ((pow_two_nonneg x).trans h)).mp h).2
@[simp] theorem sqrt_inj (hx : 0 ≤ x) (hy : 0 ≤ y) : sqrt x = sqrt y ↔ x = y :=
by simp [le_antisymm_iff, hx, hy]
@[simp] theorem sqrt_eq_zero (h : 0 ≤ x) : sqrt x = 0 ↔ x = 0 :=
by simpa using sqrt_inj h (le_refl _)
theorem sqrt_eq_zero' : sqrt x = 0 ↔ x ≤ 0 :=
by rw [sqrt, nnreal.coe_eq_zero, nnreal.sqrt_eq_zero, nnreal.of_real_eq_zero]
theorem sqrt_ne_zero (h : 0 ≤ x) : sqrt x ≠ 0 ↔ x ≠ 0 :=
by rw [not_iff_not, sqrt_eq_zero h]
theorem sqrt_ne_zero' : sqrt x ≠ 0 ↔ 0 < x :=
by rw [← not_le, not_iff_not, sqrt_eq_zero']
@[simp] theorem sqrt_pos : 0 < sqrt x ↔ 0 < x :=
lt_iff_lt_of_le_iff_le (iff.trans
(by simp [le_antisymm_iff, sqrt_nonneg]) sqrt_eq_zero')
@[simp] theorem sqrt_mul (hx : 0 ≤ x) (y : ℝ) : sqrt (x * y) = sqrt x * sqrt y :=
by simp_rw [sqrt, ← nnreal.coe_mul, nnreal.coe_eq, nnreal.of_real_mul hx, nnreal.sqrt_mul]
@[simp] theorem sqrt_mul' (x) {y : ℝ} (hy : 0 ≤ y) : sqrt (x * y) = sqrt x * sqrt y :=
by rw [mul_comm, sqrt_mul hy, mul_comm]
@[simp] theorem sqrt_inv (x : ℝ) : sqrt x⁻¹ = (sqrt x)⁻¹ :=
by rw [sqrt, nnreal.of_real_inv, nnreal.sqrt_inv, nnreal.coe_inv, sqrt]
@[simp] theorem sqrt_div (hx : 0 ≤ x) (y : ℝ) : sqrt (x / y) = sqrt x / sqrt y :=
by rw [division_def, sqrt_mul hx, sqrt_inv, division_def]
@[simp] theorem div_sqrt : x / sqrt x = sqrt x :=
begin
cases le_or_lt x 0,
{ rw [sqrt_eq_zero'.mpr h, div_zero] },
{ rw [div_eq_iff (sqrt_ne_zero'.mpr h), mul_self_sqrt h.le] },
end
theorem lt_sqrt (hx : 0 ≤ x) (hy : 0 ≤ y) : x < sqrt y ↔ x ^ 2 < y :=
by rw [mul_self_lt_mul_self_iff hx (sqrt_nonneg y), pow_two, mul_self_sqrt hy]
theorem sqr_lt : x^2 < y ↔ -sqrt y < x ∧ x < sqrt y :=
begin
split,
{ simpa only [← sqrt_lt (pow_two_nonneg x), sqrt_sqr_eq_abs] using abs_lt.mp },
{ rw [← abs_lt, ← sqr_abs],
exact λ h, (lt_sqrt (abs_nonneg x) (sqrt_pos.mp (lt_of_le_of_lt (abs_nonneg x) h)).le).mp h },
end
theorem neg_sqrt_lt_of_sqr_lt (h : x^2 < y) : -sqrt y < x := (sqr_lt.mp h).1
theorem lt_sqrt_of_sqr_lt (h : x^2 < y) : x < sqrt y := (sqr_lt.mp h).2
end real
open real
variables {α : Type*}
lemma filter.tendsto.sqrt {f : α → ℝ} {l : filter α} {x : ℝ} (h : tendsto f l (𝓝 x)) :
tendsto (λ x, sqrt (f x)) l (𝓝 (sqrt x)) :=
(continuous_sqrt.tendsto _).comp h
variables [topological_space α] {f : α → ℝ} {s : set α} {x : α}
lemma continuous_within_at.sqrt (h : continuous_within_at f s x) :
continuous_within_at (λ x, sqrt (f x)) s x :=
h.sqrt
lemma continuous_at.sqrt (h : continuous_at f x) : continuous_at (λ x, sqrt (f x)) x := h.sqrt
lemma continuous_on.sqrt (h : continuous_on f s) : continuous_on (λ x, sqrt (f x)) s :=
λ x hx, (h x hx).sqrt
@[continuity]
lemma continuous.sqrt (h : continuous f) : continuous (λ x, sqrt (f x)) := continuous_sqrt.comp h
|
b2eefcb58311967a6ea63c2fc286b8f0747130a5 | bbecf0f1968d1fba4124103e4f6b55251d08e9c4 | /src/topology/category/Top/open_nhds.lean | deb47af292fbdd8786f1dff714e907702b8114d0 | [
"Apache-2.0"
] | permissive | waynemunro/mathlib | e3fd4ff49f4cb43d4a8ded59d17be407bc5ee552 | 065a70810b5480d584033f7bbf8e0409480c2118 | refs/heads/master | 1,693,417,182,397 | 1,634,644,781,000 | 1,634,644,781,000 | null | 0 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 4,333 | lean | /-
Copyright (c) 2019 Scott Morrison. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Scott Morrison
-/
import topology.category.Top.opens
import category_theory.filtered
open category_theory
open topological_space
open opposite
universe u
variables {X Y : Top.{u}} (f : X ⟶ Y)
namespace topological_space
/-- The type of open neighbourhoods of a point `x` in a (bundled) topological space. -/
def open_nhds (x : X) := { U : opens X // x ∈ U }
namespace open_nhds
instance (x : X) : partial_order (open_nhds x) :=
{ le := λ U V, U.1 ≤ V.1,
le_refl := λ _, le_refl _,
le_trans := λ _ _ _, le_trans,
le_antisymm := λ _ _ i j, subtype.eq $ le_antisymm i j }
instance (x : X) : lattice (open_nhds x) :=
{ inf := λ U V, ⟨U.1 ⊓ V.1, ⟨U.2, V.2⟩⟩,
le_inf := λ U V W, @le_inf _ _ U.1.1 V.1.1 W.1.1,
inf_le_left := λ U V, @inf_le_left _ _ U.1.1 V.1.1,
inf_le_right := λ U V, @inf_le_right _ _ U.1.1 V.1.1,
sup := λ U V, ⟨U.1 ⊔ V.1, V.1.1.mem_union_left U.2⟩,
sup_le := λ U V W, @sup_le _ _ U.1.1 V.1.1 W.1.1,
le_sup_left := λ U V, @le_sup_left _ _ U.1.1 V.1.1,
le_sup_right := λ U V, @le_sup_right _ _ U.1.1 V.1.1,
..open_nhds.partial_order x }
instance (x : X) : order_top (open_nhds x) :=
{ top := ⟨⊤, trivial⟩,
le_top := λ U, @le_top _ _ U.1.1,
..open_nhds.partial_order x }
instance open_nhds_category (x : X) : category.{u} (open_nhds x) :=
by {unfold open_nhds, apply_instance}
instance opens_nhds_hom_has_coe_to_fun {x : X} {U V : open_nhds x} : has_coe_to_fun (U ⟶ V) :=
{ F := λ f, U.1 → V.1,
coe := λ f x, ⟨x, f.le x.2⟩ }
/--
The inclusion `U ⊓ V ⟶ U` as a morphism in the category of open sets.
-/
def inf_le_left {x : X} (U V : open_nhds x) : U ⊓ V ⟶ U :=
hom_of_le inf_le_left
/--
The inclusion `U ⊓ V ⟶ V` as a morphism in the category of open sets.
-/
def inf_le_right {x : X} (U V : open_nhds x) : U ⊓ V ⟶ V :=
hom_of_le inf_le_right
/-- The inclusion functor from open neighbourhoods of `x`
to open sets in the ambient topological space. -/
def inclusion (x : X) : open_nhds x ⥤ opens X :=
full_subcategory_inclusion _
@[simp] lemma inclusion_obj (x : X) (U) (p) : (inclusion x).obj ⟨U,p⟩ = U := rfl
lemma open_embedding {x : X} (U : open_nhds x) : open_embedding (U.1.inclusion) :=
U.1.open_embedding
def map (x : X) : open_nhds (f x) ⥤ open_nhds x :=
{ obj := λ U, ⟨(opens.map f).obj U.1, by tidy⟩,
map := λ U V i, (opens.map f).map i }
@[simp] lemma map_obj (x : X) (U) (q) : (map f x).obj ⟨U, q⟩ = ⟨(opens.map f).obj U, by tidy⟩ :=
rfl
@[simp] lemma map_id_obj (x : X) (U) : (map (𝟙 X) x).obj U = U :=
by tidy
@[simp] lemma map_id_obj' (x : X) (U) (p) (q) : (map (𝟙 X) x).obj ⟨⟨U, p⟩, q⟩ = ⟨⟨U, p⟩, q⟩ :=
rfl
@[simp] lemma map_id_obj_unop (x : X) (U : (open_nhds x)ᵒᵖ) : (map (𝟙 X) x).obj (unop U) = unop U :=
by simp
@[simp] lemma op_map_id_obj (x : X) (U : (open_nhds x)ᵒᵖ) : (map (𝟙 X) x).op.obj U = U :=
by simp
/-- `opens.map f` and `open_nhds.map f` form a commuting square (up to natural isomorphism)
with the inclusion functors into `opens X`. -/
def inclusion_map_iso (x : X) : inclusion (f x) ⋙ opens.map f ≅ map f x ⋙ inclusion x :=
nat_iso.of_components
(λ U, begin split, exact 𝟙 _, exact 𝟙 _ end)
(by tidy)
@[simp] lemma inclusion_map_iso_hom (x : X) : (inclusion_map_iso f x).hom = 𝟙 _ := rfl
@[simp] lemma inclusion_map_iso_inv (x : X) : (inclusion_map_iso f x).inv = 𝟙 _ := rfl
end open_nhds
end topological_space
namespace is_open_map
open topological_space
variables {f}
/--
An open map `f : X ⟶ Y` induces a functor `open_nhds x ⥤ open_nhds (f x)`.
-/
@[simps]
def functor_nhds (h : is_open_map f) (x : X) :
open_nhds x ⥤ open_nhds (f x) :=
{ obj := λ U, ⟨h.functor.obj U.1, ⟨x, U.2, rfl⟩⟩,
map := λ U V i, h.functor.map i }
/--
An open map `f : X ⟶ Y` induces an adjunction between `open_nhds x` and `open_nhds (f x)`.
-/
def adjunction_nhds (h : is_open_map f) (x : X) :
is_open_map.functor_nhds h x ⊣ open_nhds.map f x :=
adjunction.mk_of_unit_counit
{ unit := { app := λ U, hom_of_le $ λ x hxU, ⟨x, hxU, rfl⟩ },
counit := { app := λ V, hom_of_le $ λ y ⟨x, hfxV, hxy⟩, hxy ▸ hfxV } }
end is_open_map
|
66979f2ec8571dfe428c0e1b06d990771314793d | a9d0fb7b0e4f802bd3857b803e6c5c23d87fef91 | /library/data/uprod.lean | 595aca412bb7039351019af2461d8d7552f7c9e2 | [
"Apache-2.0"
] | permissive | soonhokong/lean-osx | 4a954262c780e404c1369d6c06516161d07fcb40 | 3670278342d2f4faa49d95b46d86642d7875b47c | refs/heads/master | 1,611,410,334,552 | 1,474,425,686,000 | 1,474,425,686,000 | 12,043,103 | 5 | 1 | null | null | null | null | UTF-8 | Lean | false | false | 3,772 | lean | /-
Copyright (c) 2015 Microsoft Corporation. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Author: Leonardo de Moura
Unordered pairs
-/
import data.prod logic.identities
open prod prod.ops quot function
private definition eqv {A : Type} (p₁ p₂ : A × A) : Prop :=
p₁ = p₂ ∨ swap p₁ = p₂
infix `~` := eqv -- this is "~"
attribute [refl]
private theorem eqv.refl {A : Type} : ∀ p : A × A, p ~ p :=
take p, or.inl rfl
attribute [symm]
private theorem eqv.symm {A : Type} : ∀ p₁ p₂ : A × A, p₁ ~ p₂ → p₂ ~ p₁ :=
take p₁ p₂ h, or.elim h
(λ e, by rewrite e)
(λ e, begin esimp [eqv], rewrite [-e, swap_swap], right, reflexivity end)
attribute [trans]
private theorem eqv.trans {A : Type} : ∀ p₁ p₂ p₃ : A × A, p₁ ~ p₂ → p₂ ~ p₃ → p₁ ~ p₃ :=
take p₁ p₂ p₃ h₁ h₂, or.elim h₁
(λ e₁₂, or.elim h₂
(λ e₂₃, by rewrite [e₁₂, e₂₃])
(λ es₂₃, begin esimp [eqv], rewrite -es₂₃, right, congruence, assumption end))
(λ es₁₂, or.elim h₂
(λ e₂₃, begin esimp [eqv], rewrite es₁₂, right, assumption end)
(λ es₂₃, begin esimp [eqv], rewrite [-es₁₂ at es₂₃, swap_swap at es₂₃], left, assumption end))
private theorem is_equivalence (A : Type) : equivalence (@eqv A) :=
mk_equivalence (@eqv A) (@eqv.refl A) (@eqv.symm A) (@eqv.trans A)
attribute [instance]
definition uprod.setoid (A : Type) : setoid (A × A) :=
setoid.mk (@eqv A) (is_equivalence A)
definition uprod (A : Type) : Type :=
quot (uprod.setoid A)
namespace uprod
definition mk {A : Type} (a b : A) : uprod A :=
⟦(a, b)⟧
theorem mk_eq_mk {A : Type} (a b : A) : mk a b = mk b a :=
quot.sound (or.inr rfl)
private definition mem_fn {A : Type} (a : A) : A × A → Prop
| (a₁, a₂) := a = a₁ ∨ a = a₂
private lemma mem_swap {A : Type} {a : A} : ∀ {p : A × A}, mem_fn a p ↔ mem_fn a (swap p)
| (a₁, a₂) := iff.intro
(λ l : a = a₁ ∨ a = a₂, or.swap l)
(λ r : a = a₂ ∨ a = a₁, or.swap r)
private lemma mem_coherent {A : Type} : ∀ {p₁ p₂ : A × A} (a : A), p₁ ~ p₂ → mem_fn a p₁ = mem_fn a p₂
| (a₁, b₁) (a₂, b₂) a h :=
or.elim h
(λ e, by rewrite e)
(λ es, begin rewrite -es, apply propext, rewrite (propext mem_swap) end)
definition mem {A : Type} (a : A) (u : uprod A) : Prop :=
quot.lift_on u (λ p, mem_fn a p) (λ p₁ p₂ e, mem_coherent a e)
infix `∈` := mem
theorem mem_mk_left {A : Type} (a b : A) : a ∈ mk a b :=
or.inl rfl
theorem mem_mk_right {A : Type} (a b : A) : b ∈ mk a b :=
or.inr rfl
theorem mem_or_mem_of_mem_mk {A : Type} {a b c : A} : c ∈ mk a b → c = a ∨ c = b :=
λ h, h
private definition map_fn {A B : Type} (f : A → B) : A × A → uprod B
| (a₁, a₂) := mk (f a₁) (f a₂)
private lemma map_coherent {A B : Type} (f : A → B) : ∀ {p₁ p₂ : A × A}, p₁ ~ p₂ → map_fn f p₁ = map_fn f p₂
| (a₁, b₁) (a₂, b₂) h :=
or.elim h
(λ e, by rewrite e)
(λ es, begin rewrite -es, apply quot.sound, right, reflexivity end)
definition map {A B : Type} (f : A → B) (u : uprod A) : uprod B :=
quot.lift_on u (λ p, map_fn f p) (λ p₁ p₂ c, map_coherent f c)
theorem mem_map_mk_left {A B : Type} (f : A → B) (a₁ a₂ : A) : f a₁ ∈ map f (mk a₁ a₂) :=
or.inl rfl
theorem mem_map_mk_right {A B : Type} (f : A → B) (a₁ a₂ : A) : f a₂ ∈ map f (mk a₁ a₂) :=
or.inr rfl
theorem map_map {A B C : Type} (g : B → C) (f : A → B) (u : uprod A) : map g (map f u) = map (g ∘ f) u :=
quot.induction_on u (λ p : A × A, begin cases p, reflexivity end)
end uprod
|
78f0c8b700a93af8f50409d0074f21dfe02246af | ae1e94c332e17c7dc7051ce976d5a9eebe7ab8a5 | /src/Init/Data/OfScientific.lean | 2b10daeeb6b99613c578fee44020cb966eea072e | [
"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 | 624 | 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
-/
prelude
import Init.Data.Float
import Init.Data.Nat
/- For decimal and scientific numbers (e.g., `1.23`, `3.12e10`).
Examples:
- `OfScientific.ofScientific 123 true 2` represents `1.23`
- `OfScientific.ofScientific 121 false 100` represents `121e100`
-/
class OfScientific (α : Type u) where
ofScientific : Nat → Bool → Nat → α
@[defaultInstance low]
instance : OfScientific Float where
ofScientific m s e := Float.ofScientific m s e
|
894b98686bd67ce6ce218d44dfea1020560ad48d | 6432ea7a083ff6ba21ea17af9ee47b9c371760f7 | /doc/examples/deBruijn.lean | fa83799db247300428765277b2895dc17a50c638 | [
"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 | 7,071 | lean | /-!
# Dependent de Bruijn Indices
In this example, we represent program syntax terms in a type family parameterized by a list of types,
representing the typing context, or information on which free variables are in scope and what
their types are.
Remark: this example is based on an example in the book [Certified Programming with Dependent Types](http://adam.chlipala.net/cpdt/) by Adam Chlipala.
-/
/-!
Programmers who move to statically typed functional languages from scripting languages
often complain about the requirement that every element of a list have the same type. With
fancy type systems, we can partially lift this requirement. We can index a list type with a
“type-level” list that explains what type each element of the list should have. This has been
done in a variety of ways in Haskell using type classes, and we can do it much more cleanly
and directly in Lean.
We parameterize our heterogeneous lists by at type `α` and an `α`-indexed type `β`.
-/
inductive HList {α : Type v} (β : α → Type u) : List α → Type (max u v)
| nil : HList β []
| cons : β i → HList β is → HList β (i::is)
/-!
We overload the `List.cons` notation `::` so we can also use it to create
heterogeneous lists.
-/
infix:67 " :: " => HList.cons
/-! We similarly overload the `List` notation `[]` for the empty heterogeneous list. -/
notation "[" "]" => HList.nil
/-!
Variables are represented in a way isomorphic to the natural numbers, where
number 0 represents the first element in the context, number 1 the second element, and so
on. Actually, instead of numbers, we use the `Member` inductive family.
The value of type `Member a as` can be viewed as a certificate that `a` is
an element of the list `as`. The constructor `Member.head` says that `a`
is in the list if the list begins with it. The constructor `Member.tail`
says that if `a` is in the list `bs`, it is also in the list `b::bs`.
-/
inductive Member : α → List α → Type
| head : Member a (a::as)
| tail : Member a bs → Member a (b::bs)
/-!
Given a heterogeneous list `HList β is` and value of type `Member i is`, `HList.get`
retrieves an element of type `β i` from the list.
The pattern `.head` and `.tail h` are sugar for `Member.head` and `Member.tail h` respectively.
Lean can infer the namespace using the expected type.
-/
def HList.get : HList β is → Member i is → β i
| a::as, .head => a
| a::as, .tail h => as.get h
/-!
Here is the definition of the simple type system for our programming language, a simply typed
lambda calculus with natural numbers as the base type.
-/
inductive Ty where
| nat
| fn : Ty → Ty → Ty
/-!
We can write a function to translate `Ty` values to a Lean type
— remember that types are first class, so can be calculated just like any other value.
We mark `Ty.denote` as `[reducible]` to make sure the typeclass resolution procedure can
unfold/reduce it. For example, suppose Lean is trying to synthesize a value for the instance
`Add (Ty.denote Ty.nat)`. Since `Ty.denote` is marked as `[reducible]`,
the typeclass resolution procedure can reduce `Ty.denote Ty.nat` to `Nat`, and use
the builtin instance for `Add Nat` as the solution.
Recall that the term `a.denote` is sugar for `denote a` where `denote` is the function being defined.
We call it the "dot notation".
-/
@[reducible] def Ty.denote : Ty → Type
| nat => Nat
| fn a b => a.denote → b.denote
/-!
Here is the definition of the `Term` type, including variables, constants, addition,
function application and abstraction, and let binding of local variables.
Since `let` is a keyword in Lean, we use the "escaped identifier" `«let»`.
You can input the unicode (French double quotes) using `\f<<` (for `«`) and `\f>>` (for `»`).
The term `Term ctx .nat` is sugar for `Term ctx Ty.nat`, Lean infers the namespace using the expected type.
-/
inductive Term : List Ty → Ty → Type
| var : Member ty ctx → Term ctx ty
| const : Nat → Term ctx .nat
| plus : Term ctx .nat → Term ctx .nat → Term ctx .nat
| app : Term ctx (.fn dom ran) → Term ctx dom → Term ctx ran
| lam : Term (dom :: ctx) ran → Term ctx (.fn dom ran)
| «let» : Term ctx ty₁ → Term (ty₁ :: ctx) ty₂ → Term ctx ty₂
/-!
Here are two example terms encoding, the first addition packaged as a two-argument
curried function, and the second of a sample application of addition to constants.
The command `open Ty Term Member` opens the namespaces `Ty`, `Term`, and `Member`. Thus,
you can write `lam` instead of `Term.lam`.
-/
open Ty Term Member
def add : Term [] (fn nat (fn nat nat)) :=
lam (lam (plus (var (tail head)) (var head)))
def three_the_hard_way : Term [] nat :=
app (app add (const 1)) (const 2)
/-!
Since dependent typing ensures that any term is well-formed in its context and has a particular type,
it is easy to translate syntactic terms into Lean values.
The attribute `[simp]` instructs Lean to always try to unfold `Term.denote` applications when one applies
the `simp` tactic. We also say this is a hint for the Lean term simplifier.
-/
@[simp] def Term.denote : Term ctx ty → HList Ty.denote ctx → ty.denote
| var h, env => env.get h
| const n, _ => n
| plus a b, env => a.denote env + b.denote env
| app f a, env => f.denote env (a.denote env)
| lam b, env => fun x => b.denote (x :: env)
| «let» a b, env => b.denote (a.denote env :: env)
/-!
You can show that the denotation of `three_the_hard_way` is indeed `3` using reflexivity.
-/
example : three_the_hard_way.denote [] = 3 :=
rfl
/-!
We now define the constant folding optimization that traverses a term if replaces subterms such as
`plus (const m) (const n)` with `const (n+m)`.
-/
@[simp] def Term.constFold : Term ctx ty → Term ctx ty
| const n => const n
| var h => var h
| app f a => app f.constFold a.constFold
| lam b => lam b.constFold
| «let» a b => «let» a.constFold b.constFold
| plus a b =>
match a.constFold, b.constFold with
| const n, const m => const (n+m)
| a', b' => plus a' b'
/-!
The correctness of the `Term.constFold` is proved using induction, case-analysis, and the term simplifier.
We prove all cases but the one for `plus` using `simp [*]`. This tactic instructs the term simplifier to
use hypotheses such as `a = b` as rewriting/simplications rules.
We use the `split` to break the nested `match` expression in the `plus` case into two cases.
The local variables `iha` and `ihb` are the induction hypotheses for `a` and `b`.
The modifier `←` in a term simplifier argument instructs the term simplier to use the equation as a rewriting rule in
the "reverse direction". That is, given `h : a = b`, `← h` instructs the term simplifier to rewrite `b` subterms to `a`.
-/
theorem Term.constFold_sound (e : Term ctx ty) : e.constFold.denote env = e.denote env := by
induction e with simp [*]
| plus a b iha ihb =>
split
next he₁ he₂ => simp [← iha, ← ihb, he₁, he₂]
next => simp [iha, ihb]
|
9f2892f69b3d3a4e353fa9558b9cedabc1fe9fc7 | 80cc5bf14c8ea85ff340d1d747a127dcadeb966f | /src/data/finsupp/basic.lean | 0f0093dabee567fe3d7190d341f5ea9ea9a5f555 | [
"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 | 73,123 | lean | /-
Copyright (c) 2017 Johannes Hölzl. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Johannes Hölzl, Scott Morrison
-/
import algebra.big_operators.order
import algebra.module.basic
import data.fintype.card
import data.finset.preimage
import data.multiset.antidiagonal
/-!
# Type of functions with finite support
For any type `α` and a type `β` with zero, we define the type `finsupp α β` of finitely supported
functions from `α` to `β`, i.e. the functions which are zero everywhere on `α` except on a finite
set. We write this in infix notation as `α →₀ β`.
Functions with finite support provide the basis for the following concrete instances:
* `ℕ →₀ α`: Polynomials (where `α` is a ring)
* `(σ →₀ ℕ) →₀ α`: Multivariate Polynomials (again `α` is a ring, and `σ` are variable names)
* `α →₀ ℕ`: Multisets
* `α →₀ ℤ`: Abelian groups freely generated by `α`
* `β →₀ α`: Linear combinations over `β` where `α` is the scalar ring
Most of the theory assumes that the range is a commutative monoid. This gives us the big sum
operator as a powerful way to construct `finsupp` elements.
A general piece of advice is to not use `α →₀ β` directly, as the type class setup might not be a
good fit. Defining a copy and selecting the instances that are best suited for the application works
better.
## Implementation notes
This file is a `noncomputable theory` and uses classical logic throughout.
## Notation
This file defines `α →₀ β` as notation for `finsupp α β`.
-/
noncomputable theory
open_locale classical big_operators
open finset
variables {α : Type*} {β : Type*} {γ : Type*} {δ : Type*} {ι : Type*}
{α₁ : Type*} {α₂ : Type*} {β₁ : Type*} {β₂ : Type*}
/-- `finsupp α β`, denoted `α →₀ β`, is the type of functions `f : α → β` such that
`f x = 0` for all but finitely many `x`. -/
structure finsupp (α : Type*) (β : Type*) [has_zero β] :=
(support : finset α)
(to_fun : α → β)
(mem_support_to_fun : ∀a, a ∈ support ↔ to_fun a ≠ 0)
infixr ` →₀ `:25 := finsupp
namespace finsupp
/-! ### Basic declarations about `finsupp` -/
section basic
variable [has_zero β]
instance : has_coe_to_fun (α →₀ β) := ⟨λ_, α → β, to_fun⟩
instance : has_zero (α →₀ β) := ⟨⟨∅, (λ_, 0), λ _, ⟨false.elim, λ H, H rfl⟩⟩⟩
@[simp] lemma zero_apply {a : α} : (0 : α →₀ β) a = 0 :=
rfl
@[simp] lemma support_zero : (0 : α →₀ β).support = ∅ :=
rfl
instance : inhabited (α →₀ β) := ⟨0⟩
@[simp] lemma mem_support_iff {f : α →₀ β} : ∀{a:α}, a ∈ f.support ↔ f a ≠ 0 :=
f.mem_support_to_fun
lemma not_mem_support_iff {f : α →₀ β} {a} : a ∉ f.support ↔ f a = 0 :=
not_iff_comm.1 mem_support_iff.symm
@[ext]
lemma ext : ∀{f g : α →₀ β}, (∀a, f a = g a) → f = g
| ⟨s, f, hf⟩ ⟨t, g, hg⟩ h :=
begin
have : f = g, { funext a, exact h a },
subst this,
have : s = t, { ext a, exact (hf a).trans (hg a).symm },
subst this
end
lemma ext_iff {f g : α →₀ β} : f = g ↔ (∀a:α, f a = g a) :=
⟨by rintros rfl a; refl, ext⟩
@[simp] lemma support_eq_empty {f : α →₀ β} : f.support = ∅ ↔ f = 0 :=
⟨assume h, ext $ assume a, by_contradiction $ λ H, (finset.ext_iff.1 h a).1 $
mem_support_iff.2 H, by rintro rfl; refl⟩
instance finsupp.decidable_eq [decidable_eq α] [decidable_eq β] : decidable_eq (α →₀ β) :=
assume f g, decidable_of_iff (f.support = g.support ∧ (∀a∈f.support, f a = g a))
⟨assume ⟨h₁, h₂⟩, ext $ assume a,
if h : a ∈ f.support then h₂ a h else
have hf : f a = 0, by rwa [mem_support_iff, not_not] at h,
have hg : g a = 0, by rwa [h₁, mem_support_iff, not_not] at h,
by rw [hf, hg],
by rintro rfl; exact ⟨rfl, λ _ _, rfl⟩⟩
lemma finite_supp (f : α →₀ β) : set.finite {a | f a ≠ 0} :=
⟨fintype.of_finset f.support (λ _, mem_support_iff)⟩
lemma support_subset_iff {s : set α} {f : α →₀ β} :
↑f.support ⊆ s ↔ (∀a∉s, f a = 0) :=
by simp only [set.subset_def, mem_coe, mem_support_iff];
exact forall_congr (assume a, not_imp_comm)
/-- Given `fintype α`, `equiv_fun_on_fintype` is the `equiv` between `α →₀ β` and `α → β`.
(All functions on a finite type are finitely supported.) -/
def equiv_fun_on_fintype [fintype α] : (α →₀ β) ≃ (α → β) :=
⟨λf a, f a, λf, mk (finset.univ.filter $ λa, f a ≠ 0) f (by simp only [true_and, finset.mem_univ,
iff_self, finset.mem_filter, finset.filter_congr_decidable, forall_true_iff]),
begin intro f, ext a, refl end,
begin intro f, ext a, refl end⟩
end basic
/-! ### Declarations about `single` -/
section single
variables [has_zero β] {a a' : α} {b : β}
/-- `single a b` is the finitely supported function which has
value `b` at `a` and zero otherwise. -/
def single (a : α) (b : β) : α →₀ β :=
⟨if b = 0 then ∅ else {a}, λ a', if a = a' then b else 0, λ a', begin
by_cases hb : b = 0; by_cases a = a';
simp only [hb, h, if_pos, if_false, mem_singleton],
{ exact ⟨false.elim, λ H, H rfl⟩ },
{ exact ⟨false.elim, λ H, H rfl⟩ },
{ exact ⟨λ _, hb, λ _, rfl⟩ },
{ exact ⟨λ H _, h H.symm, λ H, (H rfl).elim⟩ }
end⟩
lemma single_apply : (single a b : α →₀ β) a' = if a = a' then b else 0 :=
rfl
@[simp] lemma single_eq_same : (single a b : α →₀ β) a = b :=
if_pos rfl
@[simp] lemma single_eq_of_ne (h : a ≠ a') : (single a b : α →₀ β) a' = 0 :=
if_neg h
@[simp] lemma single_zero : (single a 0 : α →₀ β) = 0 :=
ext $ assume a',
begin
by_cases h : a = a',
{ rw [h, single_eq_same, zero_apply] },
{ rw [single_eq_of_ne h, zero_apply] }
end
lemma support_single_ne_zero (hb : b ≠ 0) : (single a b).support = {a} :=
if_neg hb
lemma support_single_subset : (single a b).support ⊆ {a} :=
show ite _ _ _ ⊆ _, by split_ifs; [exact empty_subset _, exact subset.refl _]
lemma single_injective (a : α) : function.injective (single a : β → α →₀ β) :=
assume b₁ b₂ eq,
have (single a b₁ : α →₀ β) a = (single a b₂ : α →₀ β) a, by rw eq,
by rwa [single_eq_same, single_eq_same] at this
lemma single_eq_single_iff (a₁ a₂ : α) (b₁ b₂ : β) :
single a₁ b₁ = single a₂ b₂ ↔ ((a₁ = a₂ ∧ b₁ = b₂) ∨ (b₁ = 0 ∧ b₂ = 0)) :=
begin
split,
{ assume eq,
by_cases a₁ = a₂,
{ refine or.inl ⟨h, _⟩,
rwa [h, (single_injective a₂).eq_iff] at eq },
{ rw [ext_iff] at eq,
have h₁ := eq a₁,
have h₂ := eq a₂,
simp only [single_eq_same, single_eq_of_ne h, single_eq_of_ne (ne.symm h)] at h₁ h₂,
exact or.inr ⟨h₁, h₂.symm⟩ } },
{ rintros (⟨rfl, rfl⟩ | ⟨rfl, rfl⟩),
{ refl },
{ rw [single_zero, single_zero] } }
end
lemma single_left_inj (h : b ≠ 0) :
single a b = single a' b ↔ a = a' :=
⟨λ H, by simpa only [h, single_eq_single_iff,
and_false, or_false, eq_self_iff_true, and_true] using H,
λ H, by rw [H]⟩
lemma single_eq_zero : single a b = 0 ↔ b = 0 :=
⟨λ h, by { rw ext_iff at h, simpa only [single_eq_same, zero_apply] using h a },
λ h, by rw [h, single_zero]⟩
lemma single_swap {α β : Type*} [has_zero β] (a₁ a₂ : α) (b : β) :
(single a₁ b : α → β) a₂ = (single a₂ b : α → β) a₁ :=
by simp only [single_apply]; ac_refl
lemma unique_single [unique α] (x : α →₀ β) : x = single (default α) (x (default α)) :=
by ext i; simp only [unique.eq_default i, single_eq_same]
@[simp] lemma unique_single_eq_iff [unique α] {b' : β} :
single a b = single a' b' ↔ b = b' :=
begin
rw [single_eq_single_iff],
split,
{ rintros (⟨_, rfl⟩ | ⟨rfl, rfl⟩); refl },
{ intro h, left, exact ⟨subsingleton.elim _ _, h⟩ }
end
end single
/-! ### Declarations about `on_finset` -/
section on_finset
variables [has_zero β]
/-- `on_finset s f hf` is the finsupp function representing `f` restricted to the finset `s`.
The function needs to be `0` outside of `s`. Use this when the set needs to be filtered anyways,
otherwise a better set representation is often available. -/
def on_finset (s : finset α) (f : α → β) (hf : ∀a, f a ≠ 0 → a ∈ s) : α →₀ β :=
⟨s.filter (λa, f a ≠ 0), f,
assume a, classical.by_cases
(assume h : f a = 0, by rw mem_filter; exact ⟨and.right, λ H, (H h).elim⟩)
(assume h : f a ≠ 0, by rw mem_filter; simp only [iff_true_intro h, hf a h, true_and])⟩
@[simp] lemma on_finset_apply {s : finset α} {f : α → β} {hf a} :
(on_finset s f hf : α →₀ β) a = f a :=
rfl
@[simp] lemma support_on_finset_subset {s : finset α} {f : α → β} {hf} :
(on_finset s f hf).support ⊆ s :=
filter_subset _
lemma mem_support_on_finset
{s : finset α} {f : α → β} (hf : ∀ (a : α), f a ≠ 0 → a ∈ s) {a : α} :
a ∈ (finsupp.on_finset s f hf).support ↔ f a ≠ 0 :=
by simp [finsupp.mem_support_iff, finsupp.on_finset_apply]
lemma support_on_finset
{s : finset α} {f : α → β} (hf : ∀ (a : α), f a ≠ 0 → a ∈ s) :
(finsupp.on_finset s f hf).support = s.filter (λ a, f a ≠ 0) :=
begin
ext a,
rw [mem_support_on_finset, finset.mem_filter],
specialize hf a,
finish
end
end on_finset
/-! ### Declarations about `map_range` -/
section map_range
variables [has_zero β₁] [has_zero β₂]
/-- The composition of `f : β₁ → β₂` and `g : α →₀ β₁` is
`map_range f hf g : α →₀ β₂`, well-defined when `f 0 = 0`. -/
def map_range (f : β₁ → β₂) (hf : f 0 = 0) (g : α →₀ β₁) : α →₀ β₂ :=
on_finset g.support (f ∘ g) $
assume a, by rw [mem_support_iff, not_imp_not]; exact λ H, (congr_arg f H).trans hf
@[simp] lemma map_range_apply {f : β₁ → β₂} {hf : f 0 = 0} {g : α →₀ β₁} {a : α} :
map_range f hf g a = f (g a) :=
rfl
@[simp] lemma map_range_zero {f : β₁ → β₂} {hf : f 0 = 0} : map_range f hf (0 : α →₀ β₁) = 0 :=
ext $ λ a, by simp only [hf, zero_apply, map_range_apply]
lemma support_map_range {f : β₁ → β₂} {hf : f 0 = 0} {g : α →₀ β₁} :
(map_range f hf g).support ⊆ g.support :=
support_on_finset_subset
@[simp] lemma map_range_single {f : β₁ → β₂} {hf : f 0 = 0} {a : α} {b : β₁} :
map_range f hf (single a b) = single a (f b) :=
ext $ λ a', show f (ite _ _ _) = ite _ _ _, by split_ifs; [refl, exact hf]
end map_range
/-! ### Declarations about `emb_domain` -/
section emb_domain
variables [has_zero β]
/-- Given `f : α₁ ↪ α₂` and `v : α₁ →₀ β`, `emb_domain f v : α₂ →₀ β`
is the finitely supported function whose value at `f a : α₂` is `v a`.
For a `b : α₂` outside the range of `f`, it is zero. -/
def emb_domain (f : α₁ ↪ α₂) (v : α₁ →₀ β) : α₂ →₀ β :=
begin
refine ⟨v.support.map f, λa₂,
if h : a₂ ∈ v.support.map f then v (v.support.choose (λa₁, f a₁ = a₂) _) else 0, _⟩,
{ rcases finset.mem_map.1 h with ⟨a, ha, rfl⟩,
exact exists_unique.intro a ⟨ha, rfl⟩ (assume b ⟨_, hb⟩, f.injective hb) },
{ assume a₂,
split_ifs,
{ simp only [h, true_iff, ne.def],
rw [← not_mem_support_iff, not_not],
apply finset.choose_mem },
{ simp only [h, ne.def, ne_self_iff_false] } }
end
lemma support_emb_domain (f : α₁ ↪ α₂) (v : α₁ →₀ β) :
(emb_domain f v).support = v.support.map f :=
rfl
lemma emb_domain_zero (f : α₁ ↪ α₂) : (emb_domain f 0 : α₂ →₀ β) = 0 :=
rfl
lemma emb_domain_apply (f : α₁ ↪ α₂) (v : α₁ →₀ β) (a : α₁) :
emb_domain f v (f a) = v a :=
begin
change dite _ _ _ = _,
split_ifs; rw [finset.mem_map' f] at h,
{ refine congr_arg (v : α₁ → β) (f.inj' _),
exact finset.choose_property (λa₁, f a₁ = f a) _ _ },
{ exact (not_mem_support_iff.1 h).symm }
end
lemma emb_domain_notin_range (f : α₁ ↪ α₂) (v : α₁ →₀ β) (a : α₂) (h : a ∉ set.range f) :
emb_domain f v a = 0 :=
begin
refine dif_neg (mt (assume h, _) h),
rcases finset.mem_map.1 h with ⟨a, h, rfl⟩,
exact set.mem_range_self a
end
lemma emb_domain_inj {f : α₁ ↪ α₂} {l₁ l₂ : α₁ →₀ β} :
emb_domain f l₁ = emb_domain f l₂ ↔ l₁ = l₂ :=
⟨λ h, ext $ λ a, by simpa only [emb_domain_apply] using ext_iff.1 h (f a),
λ h, by rw h⟩
lemma emb_domain_map_range
{β₁ β₂ : Type*} [has_zero β₁] [has_zero β₂]
(f : α₁ ↪ α₂) (g : β₁ → β₂) (p : α₁ →₀ β₁) (hg : g 0 = 0) :
emb_domain f (map_range g hg p) = map_range g hg (emb_domain f p) :=
begin
ext a,
by_cases a ∈ set.range f,
{ rcases h with ⟨a', rfl⟩,
rw [map_range_apply, emb_domain_apply, emb_domain_apply, map_range_apply] },
{ rw [map_range_apply, emb_domain_notin_range, emb_domain_notin_range, ← hg]; assumption }
end
lemma single_of_emb_domain_single
(l : α₁ →₀ β) (f : α₁ ↪ α₂) (a : α₂) (b : β) (hb : b ≠ 0)
(h : l.emb_domain f = single a b) :
∃ x, l = single x b ∧ f x = a :=
begin
have h_map_support : finset.map f (l.support) = {a},
by rw [←support_emb_domain, h, support_single_ne_zero hb]; refl,
have ha : a ∈ finset.map f (l.support),
by simp only [h_map_support, finset.mem_singleton],
rcases finset.mem_map.1 ha with ⟨c, hc₁, hc₂⟩,
use c,
split,
{ ext d,
rw [← emb_domain_apply f l, h],
by_cases h_cases : c = d,
{ simp only [eq.symm h_cases, hc₂, single_eq_same] },
{ rw [single_apply, single_apply, if_neg, if_neg h_cases],
by_contra hfd,
exact h_cases (f.injective (hc₂.trans hfd)) } },
{ exact hc₂ }
end
end emb_domain
/-! ### Declarations about `zip_with` -/
section zip_with
variables [has_zero β] [has_zero β₁] [has_zero β₂]
/-- `zip_with f hf g₁ g₂` is the finitely supported function satisfying
`zip_with f hf g₁ g₂ a = f (g₁ a) (g₂ a)`, and it is well-defined when `f 0 0 = 0`. -/
def zip_with (f : β₁ → β₂ → β) (hf : f 0 0 = 0) (g₁ : α →₀ β₁) (g₂ : α →₀ β₂) : (α →₀ β) :=
on_finset (g₁.support ∪ g₂.support) (λa, f (g₁ a) (g₂ a)) $ λ a H,
begin
simp only [mem_union, mem_support_iff, ne], rw [← not_and_distrib],
rintro ⟨h₁, h₂⟩, rw [h₁, h₂] at H, exact H hf
end
@[simp] lemma zip_with_apply
{f : β₁ → β₂ → β} {hf : f 0 0 = 0} {g₁ : α →₀ β₁} {g₂ : α →₀ β₂} {a : α} :
zip_with f hf g₁ g₂ a = f (g₁ a) (g₂ a) :=
rfl
lemma support_zip_with {f : β₁ → β₂ → β} {hf : f 0 0 = 0} {g₁ : α →₀ β₁} {g₂ : α →₀ β₂} :
(zip_with f hf g₁ g₂).support ⊆ g₁.support ∪ g₂.support :=
support_on_finset_subset
end zip_with
/-! ### Declarations about `erase` -/
section erase
/-- `erase a f` is the finitely supported function equal to `f` except at `a` where it is equal to
`0`. -/
def erase [has_zero β] (a : α) (f : α →₀ β) : α →₀ β :=
⟨f.support.erase a, (λa', if a' = a then 0 else f a'),
assume a', by rw [mem_erase, mem_support_iff]; split_ifs;
[exact ⟨λ H _, H.1 h, λ H, (H rfl).elim⟩,
exact and_iff_right h]⟩
@[simp] lemma support_erase [has_zero β] {a : α} {f : α →₀ β} :
(f.erase a).support = f.support.erase a :=
rfl
@[simp] lemma erase_same [has_zero β] {a : α} {f : α →₀ β} : (f.erase a) a = 0 :=
if_pos rfl
@[simp] lemma erase_ne [has_zero β] {a a' : α} {f : α →₀ β} (h : a' ≠ a) : (f.erase a) a' = f a' :=
if_neg h
@[simp] lemma erase_single [has_zero β] {a : α} {b : β} : (erase a (single a b)) = 0 := begin
ext s, by_cases hs : s = a,
{ rw [hs, erase_same], refl },
{ rw [erase_ne hs], exact single_eq_of_ne (ne.symm hs) }
end
lemma erase_single_ne [has_zero β] {a a' : α} {b : β} (h : a ≠ a') : (erase a (single a' b)) = single a' b :=
begin
ext s, by_cases hs : s = a,
{ rw [hs, erase_same, single_eq_of_ne (h.symm)] },
{ rw [erase_ne hs] }
end
end erase
/-!
### Declarations about `sum` and `prod`
In most of this section, the domain `β` is assumed to be an `add_monoid`.
-/
-- [to_additive sum] for finsupp.prod doesn't work, the equation lemmas are not generated
/-- `sum f g` is the sum of `g a (f a)` over the support of `f`. -/
def sum [has_zero β] [add_comm_monoid γ] (f : α →₀ β) (g : α → β → γ) : γ :=
∑ a in f.support, g a (f a)
/-- `prod f g` is the product of `g a (f a)` over the support of `f`. -/
@[to_additive]
def prod [has_zero β] [comm_monoid γ] (f : α →₀ β) (g : α → β → γ) : γ :=
∏ a in f.support, g a (f a)
@[to_additive]
lemma prod_fintype [fintype α] [has_zero β] [comm_monoid γ]
(f : α →₀ β) (g : α → β → γ) (h : ∀ i, g i 0 = 1) :
f.prod g = ∏ i, g i (f i) :=
begin
classical,
rw [finsupp.prod, ← fintype.prod_extend_by_one, finset.prod_congr rfl],
intros i hi,
split_ifs with hif hif,
{ refl },
{ rw finsupp.not_mem_support_iff at hif,
rw [hif, h] }
end
@[to_additive]
lemma prod_map_range_index [has_zero β₁] [has_zero β₂] [comm_monoid γ]
{f : β₁ → β₂} {hf : f 0 = 0} {g : α →₀ β₁} {h : α → β₂ → γ} (h0 : ∀a, h a 0 = 1) :
(map_range f hf g).prod h = g.prod (λa b, h a (f b)) :=
finset.prod_subset support_map_range $ λ _ _ H,
by rw [not_mem_support_iff.1 H, h0]
@[to_additive]
lemma prod_zero_index [add_comm_monoid β] [comm_monoid γ] {h : α → β → γ} :
(0 : α →₀ β).prod h = 1 :=
rfl
@[to_additive]
lemma prod_comm {α' : Type*} [has_zero β] {β' : Type*} [has_zero β'] (f : α →₀ β) (g : α' →₀ β')
[comm_monoid γ] (h : α → β → α' → β' → γ) :
f.prod (λ x v, g.prod (λ x' v', h x v x' v')) = g.prod (λ x' v', f.prod (λ x v, h x v x' v')) :=
begin
dsimp [finsupp.prod],
rw finset.prod_comm,
end
@[simp, to_additive]
lemma prod_ite_eq [has_zero β] [comm_monoid γ] (f : α →₀ β) (a : α) (b : α → β → γ) :
f.prod (λ x v, ite (a = x) (b x v) 1) = ite (a ∈ f.support) (b a (f a)) 1 :=
by { dsimp [finsupp.prod], rw f.support.prod_ite_eq, }
/-- A restatement of `prod_ite_eq` with the equality test reversed. -/
@[simp, to_additive "A restatement of `sum_ite_eq` with the equality test reversed."]
lemma prod_ite_eq' [has_zero β] [comm_monoid γ] (f : α →₀ β) (a : α) (b : α → β → γ) :
f.prod (λ x v, ite (x = a) (b x v) 1) = ite (a ∈ f.support) (b a (f a)) 1 :=
by { dsimp [finsupp.prod], rw f.support.prod_ite_eq', }
@[simp] lemma prod_pow [fintype α] [comm_monoid γ] (f : α →₀ ℕ) (g : α → γ) :
f.prod (λ a b, g a ^ b) = ∏ a, g a ^ (f a) :=
begin
apply prod_subset (finset.subset_univ _),
intros a _ ha,
simp only [finsupp.not_mem_support_iff.mp ha, pow_zero]
end
/-- If `g` maps a second argument of 0 to 0, summing it over the
result of `on_finset` is the same as summing it over the original
`finset`. -/
lemma on_finset_sum [has_zero β] [add_comm_monoid γ] {s : finset α} {f : α → β} {g : α → β → γ}
(hf : ∀a, f a ≠ 0 → a ∈ s) (hg : ∀ a, g a 0 = 0) :
(on_finset s f hf).sum g = ∑ a in s, g a (f a) :=
begin
refine finset.sum_subset support_on_finset_subset _,
intros x hx hxs,
rw not_mem_support_iff.1 hxs,
exact hg _
end
section add_monoid
variables [add_monoid β]
@[to_additive]
lemma prod_single_index [comm_monoid γ] {a : α} {b : β} {h : α → β → γ} (h_zero : h a 0 = 1) :
(single a b).prod h = h a b :=
begin
by_cases h : b = 0,
{ simp only [h, h_zero, single_zero]; refl },
{ simp only [finsupp.prod, support_single_ne_zero h, prod_singleton, single_eq_same] }
end
instance : has_add (α →₀ β) := ⟨zip_with (+) (add_zero 0)⟩
@[simp] lemma add_apply {g₁ g₂ : α →₀ β} {a : α} : (g₁ + g₂) a = g₁ a + g₂ a :=
rfl
lemma support_add {g₁ g₂ : α →₀ β} : (g₁ + g₂).support ⊆ g₁.support ∪ g₂.support :=
support_zip_with
lemma support_add_eq {g₁ g₂ : α →₀ β} (h : disjoint g₁.support g₂.support) :
(g₁ + g₂).support = g₁.support ∪ g₂.support :=
le_antisymm support_zip_with $ assume a ha,
(finset.mem_union.1 ha).elim
(assume ha, have a ∉ g₂.support, from disjoint_left.1 h ha,
by simp only [mem_support_iff, not_not] at *;
simpa only [add_apply, this, add_zero])
(assume ha, have a ∉ g₁.support, from disjoint_right.1 h ha,
by simp only [mem_support_iff, not_not] at *;
simpa only [add_apply, this, zero_add])
@[simp] lemma single_add {a : α} {b₁ b₂ : β} : single a (b₁ + b₂) = single a b₁ + single a b₂ :=
ext $ assume a',
begin
by_cases h : a = a',
{ rw [h, add_apply, single_eq_same, single_eq_same, single_eq_same] },
{ rw [add_apply, single_eq_of_ne h, single_eq_of_ne h, single_eq_of_ne h, zero_add] }
end
instance : add_monoid (α →₀ β) :=
{ add_monoid .
zero := 0,
add := (+),
add_assoc := assume ⟨s, f, hf⟩ ⟨t, g, hg⟩ ⟨u, h, hh⟩, ext $ assume a, add_assoc _ _ _,
zero_add := assume ⟨s, f, hf⟩, ext $ assume a, zero_add _,
add_zero := assume ⟨s, f, hf⟩, ext $ assume a, add_zero _ }
/-- Evaluation of a function `f : α →₀ β` at a point as an additive monoid homomorphism. -/
def eval_add_hom (a : α) : (α →₀ β) →+ β := ⟨λ g, g a, zero_apply, λ _ _, add_apply⟩
@[simp] lemma eval_add_hom_apply (a : α) (g : α →₀ β) : eval_add_hom a g = g a := rfl
lemma single_add_erase {a : α} {f : α →₀ β} : single a (f a) + f.erase a = f :=
ext $ λ a',
if h : a = a' then by subst h; simp only [add_apply, single_eq_same, erase_same, add_zero]
else by simp only [add_apply, single_eq_of_ne h, zero_add, erase_ne (ne.symm h)]
lemma erase_add_single {a : α} {f : α →₀ β} : f.erase a + single a (f a) = f :=
ext $ λ a',
if h : a = a' then by subst h; simp only [add_apply, single_eq_same, erase_same, zero_add]
else by simp only [add_apply, single_eq_of_ne h, add_zero, erase_ne (ne.symm h)]
@[simp] lemma erase_add (a : α) (f f' : α →₀ β) : erase a (f + f') = erase a f + erase a f' :=
begin
ext s, by_cases hs : s = a,
{ rw [hs, add_apply, erase_same, erase_same, erase_same, add_zero] },
rw [add_apply, erase_ne hs, erase_ne hs, erase_ne hs, add_apply],
end
@[elab_as_eliminator]
protected theorem induction {p : (α →₀ β) → Prop} (f : α →₀ β)
(h0 : p 0) (ha : ∀a b (f : α →₀ β), a ∉ f.support → b ≠ 0 → p f → p (single a b + f)) :
p f :=
suffices ∀s (f : α →₀ β), f.support = s → p f, from this _ _ rfl,
assume s, finset.induction_on s (λ f hf, by rwa [support_eq_empty.1 hf]) $
assume a s has ih f hf,
suffices p (single a (f a) + f.erase a), by rwa [single_add_erase] at this,
begin
apply ha,
{ rw [support_erase, mem_erase], exact λ H, H.1 rfl },
{ rw [← mem_support_iff, hf], exact mem_insert_self _ _ },
{ apply ih _ _,
rw [support_erase, hf, finset.erase_insert has] }
end
lemma induction₂ {p : (α →₀ β) → Prop} (f : α →₀ β)
(h0 : p 0) (ha : ∀a b (f : α →₀ β), a ∉ f.support → b ≠ 0 → p f → p (f + single a b)) :
p f :=
suffices ∀s (f : α →₀ β), f.support = s → p f, from this _ _ rfl,
assume s, finset.induction_on s (λ f hf, by rwa [support_eq_empty.1 hf]) $
assume a s has ih f hf,
suffices p (f.erase a + single a (f a)), by rwa [erase_add_single] at this,
begin
apply ha,
{ rw [support_erase, mem_erase], exact λ H, H.1 rfl },
{ rw [← mem_support_iff, hf], exact mem_insert_self _ _ },
{ apply ih _ _,
rw [support_erase, hf, finset.erase_insert has] }
end
lemma map_range_add [add_monoid β₁] [add_monoid β₂]
{f : β₁ → β₂} {hf : f 0 = 0} (hf' : ∀ x y, f (x + y) = f x + f y) (v₁ v₂ : α →₀ β₁) :
map_range f hf (v₁ + v₂) = map_range f hf v₁ + map_range f hf v₂ :=
ext $ λ a, by simp only [hf', add_apply, map_range_apply]
end add_monoid
section nat_sub
instance nat_sub : has_sub (α →₀ ℕ) := ⟨zip_with (λ m n, m - n) (nat.sub_zero 0)⟩
@[simp] lemma nat_sub_apply {g₁ g₂ : α →₀ ℕ} {a : α} :
(g₁ - g₂) a = g₁ a - g₂ a :=
rfl
@[simp] lemma single_sub {a : α} {n₁ n₂ : ℕ} : single a (n₁ - n₂) = single a n₁ - single a n₂ :=
begin
ext f,
by_cases h : (a = f),
{ rw [h, nat_sub_apply, single_eq_same, single_eq_same, single_eq_same] },
rw [nat_sub_apply, single_eq_of_ne h, single_eq_of_ne h, single_eq_of_ne h]
end
-- These next two lemmas are used in developing
-- the partial derivative on `mv_polynomial`.
lemma sub_single_one_add {a : α} {u u' : α →₀ ℕ} (h : u a ≠ 0) :
u - single a 1 + u' = u + u' - single a 1 :=
begin
ext b,
rw [add_apply, nat_sub_apply, nat_sub_apply, add_apply],
by_cases h : a = b,
{ rw [←h, single_eq_same], cases (u a), { contradiction }, { simp }, },
{ simp [h], }
end
lemma add_sub_single_one {a : α} {u u' : α →₀ ℕ} (h : u' a ≠ 0) :
u + (u' - single a 1) = u + u' - single a 1 :=
begin
ext b,
rw [add_apply, nat_sub_apply, nat_sub_apply, add_apply],
by_cases h : a = b,
{ rw [←h, single_eq_same], cases (u' a), { contradiction }, { simp }, },
{ simp [h], }
end
end nat_sub
instance [add_comm_monoid β] : add_comm_monoid (α →₀ β) :=
{ add_comm := assume ⟨s, f, _⟩ ⟨t, g, _⟩, ext $ assume a, add_comm _ _,
.. finsupp.add_monoid }
instance [add_group β] : add_group (α →₀ β) :=
{ neg := map_range (has_neg.neg) neg_zero,
add_left_neg := assume ⟨s, f, _⟩, ext $ assume x, add_left_neg _,
.. finsupp.add_monoid }
lemma single_multiset_sum [add_comm_monoid β] (s : multiset β) (a : α) :
single a s.sum = (s.map (single a)).sum :=
multiset.induction_on s single_zero $ λ a s ih,
by rw [multiset.sum_cons, single_add, ih, multiset.map_cons, multiset.sum_cons]
lemma single_finset_sum [add_comm_monoid β] (s : finset γ) (f : γ → β) (a : α) :
single a (∑ b in s, f b) = ∑ b in s, single a (f b) :=
begin
transitivity,
apply single_multiset_sum,
rw [multiset.map_map],
refl
end
lemma single_sum [has_zero γ] [add_comm_monoid β] (s : δ →₀ γ) (f : δ → γ → β) (a : α) :
single a (s.sum f) = s.sum (λd c, single a (f d c)) :=
single_finset_sum _ _ _
@[to_additive]
lemma prod_neg_index [add_group β] [comm_monoid γ]
{g : α →₀ β} {h : α → β → γ} (h0 : ∀a, h a 0 = 1) :
(-g).prod h = g.prod (λa b, h a (- b)) :=
prod_map_range_index h0
@[simp] lemma neg_apply [add_group β] {g : α →₀ β} {a : α} : (- g) a = - g a :=
rfl
@[simp] lemma sub_apply [add_group β] {g₁ g₂ : α →₀ β} {a : α} : (g₁ - g₂) a = g₁ a - g₂ a :=
rfl
@[simp] lemma support_neg [add_group β] {f : α →₀ β} : support (-f) = support f :=
finset.subset.antisymm
support_map_range
(calc support f = support (- (- f)) : congr_arg support (neg_neg _).symm
... ⊆ support (- f) : support_map_range)
instance [add_comm_group β] : add_comm_group (α →₀ β) :=
{ add_comm := add_comm, ..finsupp.add_group }
@[simp] lemma sum_apply [has_zero β₁] [add_comm_monoid β]
{f : α₁ →₀ β₁} {g : α₁ → β₁ → α →₀ β} {a₂ : α} :
(f.sum g) a₂ = f.sum (λa₁ b, g a₁ b a₂) :=
(eval_add_hom a₂ : (α →₀ β) →+ _).map_sum _ _
lemma support_sum [has_zero β₁] [add_comm_monoid β]
{f : α₁ →₀ β₁} {g : α₁ → β₁ → (α →₀ β)} :
(f.sum g).support ⊆ f.support.bind (λa, (g a (f a)).support) :=
have ∀a₁ : α, f.sum (λ (a : α₁) (b : β₁), (g a b) a₁) ≠ 0 →
(∃ (a : α₁), f a ≠ 0 ∧ ¬ (g a (f a)) a₁ = 0),
from assume a₁ h,
let ⟨a, ha, ne⟩ := finset.exists_ne_zero_of_sum_ne_zero h in
⟨a, mem_support_iff.mp ha, ne⟩,
by simpa only [finset.subset_iff, mem_support_iff, finset.mem_bind, sum_apply, exists_prop]
using this
@[simp] lemma sum_zero [add_comm_monoid β] [add_comm_monoid γ] {f : α →₀ β} :
f.sum (λa b, (0 : γ)) = 0 :=
finset.sum_const_zero
@[simp] lemma sum_add [add_comm_monoid β] [add_comm_monoid γ] {f : α →₀ β}
{h₁ h₂ : α → β → γ} :
f.sum (λa b, h₁ a b + h₂ a b) = f.sum h₁ + f.sum h₂ :=
finset.sum_add_distrib
@[simp] lemma sum_neg [add_comm_monoid β] [add_comm_group γ] {f : α →₀ β}
{h : α → β → γ} : f.sum (λa b, - h a b) = - f.sum h :=
f.support.sum_hom (@has_neg.neg γ _)
@[simp] lemma sum_sub [add_comm_monoid β] [add_comm_group γ] {f : α →₀ β}
{h₁ h₂ : α → β → γ} :
f.sum (λa b, h₁ a b - h₂ a b) = f.sum h₁ - f.sum h₂ :=
by rw [sub_eq_add_neg, ←sum_neg, ←sum_add]; refl
@[simp] lemma sum_single [add_comm_monoid β] (f : α →₀ β) :
f.sum single = f :=
have ∀a:α, f.sum (λa' b, ite (a' = a) b 0) =
∑ a' in {a}, ite (a' = a) (f a') 0,
begin
intro a,
by_cases h : a ∈ f.support,
{ have : ({a} : finset α) ⊆ f.support,
{ simpa only [finset.subset_iff, mem_singleton, forall_eq] },
refine (finset.sum_subset this (λ _ _ H, _)).symm,
exact if_neg (mt mem_singleton.2 H) },
{ transitivity (∑ a in f.support, (0 : β)),
{ refine (finset.sum_congr rfl $ λ a' ha', if_neg _),
rintro rfl, exact h ha' },
{ rw [sum_const_zero, sum_singleton, if_pos rfl, not_mem_support_iff.1 h] } }
end,
ext $ assume a, by simp only [sum_apply, single_apply, this, sum_singleton, if_pos]
@[to_additive]
lemma prod_add_index [add_comm_monoid β] [comm_monoid γ] {f g : α →₀ β}
{h : α → β → γ} (h_zero : ∀a, h a 0 = 1) (h_add : ∀a b₁ b₂, h a (b₁ + b₂) = h a b₁ * h a b₂) :
(f + g).prod h = f.prod h * g.prod h :=
have f_eq : ∏ a in f.support ∪ g.support, h a (f a) = f.prod h,
from (finset.prod_subset (finset.subset_union_left _ _) $
by intros _ _ H; rw [not_mem_support_iff.1 H, h_zero]).symm,
have g_eq : ∏ a in f.support ∪ g.support, h a (g a) = g.prod h,
from (finset.prod_subset (finset.subset_union_right _ _) $
by intros _ _ H; rw [not_mem_support_iff.1 H, h_zero]).symm,
calc ∏ a in (f + g).support, h a ((f + g) a) =
∏ a in f.support ∪ g.support, h a ((f + g) a) :
finset.prod_subset support_add $
by intros _ _ H; rw [not_mem_support_iff.1 H, h_zero]
... = (∏ a in f.support ∪ g.support, h a (f a)) *
(∏ a in f.support ∪ g.support, h a (g a)) :
by simp only [add_apply, h_add, finset.prod_mul_distrib]
... = _ : by rw [f_eq, g_eq]
lemma sum_sub_index [add_comm_group β] [add_comm_group γ] {f g : α →₀ β}
{h : α → β → γ} (h_sub : ∀a b₁ b₂, h a (b₁ - b₂) = h a b₁ - h a b₂) :
(f - g).sum h = f.sum h - g.sum h :=
have h_zero : ∀a, h a 0 = 0,
from assume a,
have h a (0 - 0) = h a 0 - h a 0, from h_sub a 0 0,
by simpa only [sub_self] using this,
have h_neg : ∀a b, h a (- b) = - h a b,
from assume a b,
have h a (0 - b) = h a 0 - h a b, from h_sub a 0 b,
by simpa only [h_zero, zero_sub] using this,
have h_add : ∀a b₁ b₂, h a (b₁ + b₂) = h a b₁ + h a b₂,
from assume a b₁ b₂,
have h a (b₁ - (- b₂)) = h a b₁ - h a (- b₂), from h_sub a b₁ (-b₂),
by simpa only [h_neg, sub_neg_eq_add] using this,
calc (f - g).sum h = (f + - g).sum h : rfl
... = f.sum h + - g.sum h : by simp only [sum_add_index h_zero h_add, sum_neg_index h_zero,
h_neg, sum_neg]
... = f.sum h - g.sum h : rfl
@[to_additive]
lemma prod_finset_sum_index [add_comm_monoid β] [comm_monoid γ]
{s : finset ι} {g : ι → α →₀ β}
{h : α → β → γ} (h_zero : ∀a, h a 0 = 1) (h_add : ∀a b₁ b₂, h a (b₁ + b₂) = h a b₁ * h a b₂) :
∏ i in s, (g i).prod h = (∑ i in s, g i).prod h :=
finset.induction_on s rfl $ λ a s has ih,
by rw [prod_insert has, ih, sum_insert has, prod_add_index h_zero h_add]
@[to_additive]
lemma prod_sum_index
[add_comm_monoid β₁] [add_comm_monoid β] [comm_monoid γ]
{f : α₁ →₀ β₁} {g : α₁ → β₁ → α →₀ β}
{h : α → β → γ} (h_zero : ∀a, h a 0 = 1) (h_add : ∀a b₁ b₂, h a (b₁ + b₂) = h a b₁ * h a b₂) :
(f.sum g).prod h = f.prod (λa b, (g a b).prod h) :=
(prod_finset_sum_index h_zero h_add).symm
lemma multiset_sum_sum_index
[add_comm_monoid β] [add_comm_monoid γ]
(f : multiset (α →₀ β)) (h : α → β → γ)
(h₀ : ∀a, h a 0 = 0) (h₁ : ∀ (a : α) (b₁ b₂ : β), h a (b₁ + b₂) = h a b₁ + h a b₂) :
(f.sum.sum h) = (f.map $ λg:α →₀ β, g.sum h).sum :=
multiset.induction_on f rfl $ assume a s ih,
by rw [multiset.sum_cons, multiset.map_cons, multiset.sum_cons, sum_add_index h₀ h₁, ih]
lemma multiset_map_sum [has_zero β] {f : α →₀ β} {m : γ → δ} {h : α → β → multiset γ} :
multiset.map m (f.sum h) = f.sum (λa b, (h a b).map m) :=
(f.support.sum_hom _).symm
lemma multiset_sum_sum [has_zero β] [add_comm_monoid γ] {f : α →₀ β} {h : α → β → multiset γ} :
multiset.sum (f.sum h) = f.sum (λa b, multiset.sum (h a b)) :=
(f.support.sum_hom multiset.sum).symm
section map_range
variables
[add_comm_monoid β₁] [add_comm_monoid β₂]
(f : β₁ →+ β₂)
/--
Composition with a fixed additive homomorphism is itself an additive homomorphism on functions.
-/
def map_range.add_monoid_hom : (α →₀ β₁) →+ (α →₀ β₂) :=
{ to_fun := (map_range f f.map_zero : (α →₀ β₁) → (α →₀ β₂)),
map_zero' := map_range_zero,
map_add' := λ a b, map_range_add f.map_add _ _ }
lemma map_range_multiset_sum (m : multiset (α →₀ β₁)) :
map_range f f.map_zero m.sum = (m.map $ λx, map_range f f.map_zero x).sum :=
(m.sum_hom (map_range.add_monoid_hom f)).symm
lemma map_range_finset_sum {ι : Type*} (s : finset ι) (g : ι → (α →₀ β₁)) :
map_range f f.map_zero (∑ x in s, g x) = ∑ x in s, map_range f f.map_zero (g x) :=
by rw [finset.sum.equations._eqn_1, map_range_multiset_sum, multiset.map_map]; refl
end map_range
/-! ### Declarations about `map_domain` -/
section map_domain
variables [add_comm_monoid β] {v v₁ v₂ : α →₀ β}
/-- Given `f : α₁ → α₂` and `v : α₁ →₀ β`, `map_domain f v : α₂ →₀ β`
is the finitely supported function whose value at `a : α₂` is the sum
of `v x` over all `x` such that `f x = a`. -/
def map_domain (f : α₁ → α₂) (v : α₁ →₀ β) : α₂ →₀ β :=
v.sum $ λa, single (f a)
lemma map_domain_apply {f : α₁ → α₂} (hf : function.injective f) (x : α₁ →₀ β) (a : α₁) :
map_domain f x (f a) = x a :=
begin
rw [map_domain, sum_apply, sum, finset.sum_eq_single a, single_eq_same],
{ assume b _ hba, exact single_eq_of_ne (hf.ne hba) },
{ simp only [(∉), (≠), not_not, mem_support_iff],
assume h,
rw [h, single_zero],
refl }
end
lemma map_domain_notin_range {f : α₁ → α₂} (x : α₁ →₀ β) (a : α₂) (h : a ∉ set.range f) :
map_domain f x a = 0 :=
begin
rw [map_domain, sum_apply, sum],
exact finset.sum_eq_zero
(assume a' h', single_eq_of_ne $ assume eq, h $ eq ▸ set.mem_range_self _)
end
lemma map_domain_id : map_domain id v = v :=
sum_single _
lemma map_domain_comp {f : α → α₁} {g : α₁ → α₂} :
map_domain (g ∘ f) v = map_domain g (map_domain f v) :=
begin
refine ((sum_sum_index _ _).trans _).symm,
{ intros, exact single_zero },
{ intros, exact single_add },
refine sum_congr rfl (λ _ _, sum_single_index _),
{ exact single_zero }
end
lemma map_domain_single {f : α → α₁} {a : α} {b : β} : map_domain f (single a b) = single (f a) b :=
sum_single_index single_zero
@[simp] lemma map_domain_zero {f : α → α₂} : map_domain f 0 = (0 : α₂ →₀ β) :=
sum_zero_index
lemma map_domain_congr {f g : α → α₂} (h : ∀x∈v.support, f x = g x) :
v.map_domain f = v.map_domain g :=
finset.sum_congr rfl $ λ _ H, by simp only [h _ H]
lemma map_domain_add {f : α → α₂} : map_domain f (v₁ + v₂) = map_domain f v₁ + map_domain f v₂ :=
sum_add_index (λ _, single_zero) (λ _ _ _, single_add)
lemma map_domain_finset_sum {f : α → α₂} {s : finset ι} {v : ι → α →₀ β} :
map_domain f (∑ i in s, v i) = ∑ i in s, map_domain f (v i) :=
eq.symm $ sum_finset_sum_index (λ _, single_zero) (λ _ _ _, single_add)
lemma map_domain_sum [has_zero β₁] {f : α → α₂} {s : α →₀ β₁} {v : α → β₁ → α →₀ β} :
map_domain f (s.sum v) = s.sum (λa b, map_domain f (v a b)) :=
eq.symm $ sum_finset_sum_index (λ _, single_zero) (λ _ _ _, single_add)
lemma map_domain_support {f : α → α₂} {s : α →₀ β} :
(s.map_domain f).support ⊆ s.support.image f :=
finset.subset.trans support_sum $
finset.subset.trans (finset.bind_mono $ assume a ha, support_single_subset) $
by rw [finset.bind_singleton]; exact subset.refl _
@[to_additive]
lemma prod_map_domain_index [comm_monoid γ] {f : α → α₂} {s : α →₀ β}
{h : α₂ → β → γ} (h_zero : ∀a, h a 0 = 1) (h_add : ∀a b₁ b₂, h a (b₁ + b₂) = h a b₁ * h a b₂) :
(s.map_domain f).prod h = s.prod (λa b, h (f a) b) :=
(prod_sum_index h_zero h_add).trans $ prod_congr rfl $ λ _ _, prod_single_index (h_zero _)
lemma emb_domain_eq_map_domain (f : α₁ ↪ α₂) (v : α₁ →₀ β) :
emb_domain f v = map_domain f v :=
begin
ext a,
by_cases a ∈ set.range f,
{ rcases h with ⟨a, rfl⟩,
rw [map_domain_apply f.injective, emb_domain_apply] },
{ rw [map_domain_notin_range, emb_domain_notin_range]; assumption }
end
lemma map_domain_injective {f : α₁ → α₂} (hf : function.injective f) :
function.injective (map_domain f : (α₁ →₀ β) → (α₂ →₀ β)) :=
begin
assume v₁ v₂ eq, ext a,
have : map_domain f v₁ (f a) = map_domain f v₂ (f a), { rw eq },
rwa [map_domain_apply hf, map_domain_apply hf] at this,
end
end map_domain
/-! ### Declarations about `comap_domain` -/
section comap_domain
/-- Given `f : α₁ → α₂`, `l : α₂ →₀ γ` and a proof `hf` that `f` is injective on
the preimage of `l.support`, `comap_domain f l hf` is the finitely supported function
from `α₁` to `γ` given by composing `l` with `f`. -/
def comap_domain {α₁ α₂ γ : Type*} [has_zero γ]
(f : α₁ → α₂) (l : α₂ →₀ γ) (hf : set.inj_on f (f ⁻¹' ↑l.support)) : α₁ →₀ γ :=
{ support := l.support.preimage f hf,
to_fun := (λ a, l (f a)),
mem_support_to_fun :=
begin
intros a,
simp only [finset.mem_def.symm, finset.mem_preimage],
exact l.mem_support_to_fun (f a),
end }
@[simp]
lemma comap_domain_apply {α₁ α₂ γ : Type*} [has_zero γ]
(f : α₁ → α₂) (l : α₂ →₀ γ) (hf : set.inj_on f (f ⁻¹' ↑l.support)) (a : α₁) :
comap_domain f l hf a = l (f a) :=
rfl
lemma sum_comap_domain {α₁ α₂ β γ : Type*} [has_zero β] [add_comm_monoid γ]
(f : α₁ → α₂) (l : α₂ →₀ β) (g : α₂ → β → γ)
(hf : set.bij_on f (f ⁻¹' ↑l.support) ↑l.support) :
(comap_domain f l hf.inj_on).sum (g ∘ f) = l.sum g :=
begin
simp [sum],
simp [comap_domain, finset.sum_preimage_of_bij f _ _ (λ (x : α₂), g x (l x))]
end
lemma eq_zero_of_comap_domain_eq_zero {α₁ α₂ γ : Type*} [add_comm_monoid γ]
(f : α₁ → α₂) (l : α₂ →₀ γ) (hf : set.bij_on f (f ⁻¹' ↑l.support) ↑l.support) :
comap_domain f l hf.inj_on = 0 → l = 0 :=
begin
rw [← support_eq_empty, ← support_eq_empty, comap_domain],
simp only [finset.ext_iff, finset.not_mem_empty, iff_false, mem_preimage],
assume h a ha,
cases hf.2.2 ha with b hb,
exact h b (hb.2.symm ▸ ha)
end
lemma map_domain_comap_domain {α₁ α₂ γ : Type*} [add_comm_monoid γ]
(f : α₁ → α₂) (l : α₂ →₀ γ)
(hf : function.injective f) (hl : ↑l.support ⊆ set.range f):
map_domain f (comap_domain f l (hf.inj_on _)) = l :=
begin
ext a,
by_cases h_cases: a ∈ set.range f,
{ rcases set.mem_range.1 h_cases with ⟨b, hb⟩,
rw [hb.symm, map_domain_apply hf, comap_domain_apply] },
{ rw map_domain_notin_range _ _ h_cases,
by_contra h_contr,
apply h_cases (hl $ finset.mem_coe.2 $ mem_support_iff.2 $ λ h, h_contr h.symm) }
end
end comap_domain
/-! ### Declarations about `filter` -/
section filter
section has_zero
variables [has_zero β] (p : α → Prop) (f : α →₀ β)
/-- `filter p f` is the function which is `f a` if `p a` is true and 0 otherwise. -/
def filter (p : α → Prop) (f : α →₀ β) : α →₀ β :=
on_finset f.support (λa, if p a then f a else 0) $ λ a H,
mem_support_iff.2 $ λ h, by rw [h, if_t_t] at H; exact H rfl
@[simp] lemma filter_apply_pos {a : α} (h : p a) : f.filter p a = f a :=
if_pos h
@[simp] lemma filter_apply_neg {a : α} (h : ¬ p a) : f.filter p a = 0 :=
if_neg h
@[simp] lemma support_filter : (f.filter p).support = f.support.filter p :=
finset.ext $ assume a, if H : p a
then by simp only [mem_support_iff, filter_apply_pos _ _ H, mem_filter, H, and_true]
else by simp only [mem_support_iff, filter_apply_neg _ _ H, mem_filter, H, and_false, ne.def,
ne_self_iff_false]
lemma filter_zero : (0 : α →₀ β).filter p = 0 :=
by rw [← support_eq_empty, support_filter, support_zero, finset.filter_empty]
@[simp] lemma filter_single_of_pos
{a : α} {b : β} (h : p a) : (single a b).filter p = single a b :=
ext $ λ x, begin
by_cases h' : p x,
{ simp only [h', filter_apply_pos] },
{ simp only [h', filter_apply_neg, not_false_iff],
rw single_eq_of_ne, rintro rfl, exact h' h }
end
@[simp] lemma filter_single_of_neg
{a : α} {b : β} (h : ¬ p a) : (single a b).filter p = 0 :=
ext $ λ x, begin
by_cases h' : p x,
{ simp only [h', filter_apply_pos, zero_apply], rw single_eq_of_ne, rintro rfl, exact h h' },
{ simp only [h', finsupp.zero_apply, not_false_iff, filter_apply_neg] }
end
end has_zero
lemma filter_pos_add_filter_neg [add_monoid β] (f : α →₀ β) (p : α → Prop) :
f.filter p + f.filter (λa, ¬ p a) = f :=
ext $ assume a, if H : p a
then by simp only [add_apply, filter_apply_pos, filter_apply_neg, H, not_not, add_zero]
else by simp only [add_apply, filter_apply_pos, filter_apply_neg, H, not_false_iff, zero_add]
end filter
/-! ### Declarations about `frange` -/
section frange
variables [has_zero β]
/-- `frange f` is the image of `f` on the support of `f`. -/
def frange (f : α →₀ β) : finset β := finset.image f f.support
theorem mem_frange {f : α →₀ β} {y : β} :
y ∈ f.frange ↔ y ≠ 0 ∧ ∃ x, f x = y :=
finset.mem_image.trans
⟨λ ⟨x, hx1, hx2⟩, ⟨hx2 ▸ mem_support_iff.1 hx1, x, hx2⟩,
λ ⟨hy, x, hx⟩, ⟨x, mem_support_iff.2 (hx.symm ▸ hy), hx⟩⟩
theorem zero_not_mem_frange {f : α →₀ β} : (0:β) ∉ f.frange :=
λ H, (mem_frange.1 H).1 rfl
theorem frange_single {x : α} {y : β} : frange (single x y) ⊆ {y} :=
λ r hr, let ⟨t, ht1, ht2⟩ := mem_frange.1 hr in ht2 ▸
(by rw single_apply at ht2 ⊢; split_ifs at ht2 ⊢; [exact finset.mem_singleton_self _, cc])
end frange
/-! ### Declarations about `subtype_domain` -/
section subtype_domain
variables {α' : Type*} [has_zero δ] {p : α → Prop}
section zero
variables [has_zero β] {v v' : α' →₀ β}
/-- `subtype_domain p f` is the restriction of the finitely supported function
`f` to the subtype `p`. -/
def subtype_domain (p : α → Prop) (f : α →₀ β) : (subtype p →₀ β) :=
⟨f.support.subtype p, f ∘ subtype.val, λ a, by simp only [mem_subtype, mem_support_iff]⟩
@[simp] lemma support_subtype_domain {f : α →₀ β} :
(subtype_domain p f).support = f.support.subtype p :=
rfl
@[simp] lemma subtype_domain_apply {a : subtype p} {v : α →₀ β} :
(subtype_domain p v) a = v (a.val) :=
rfl
@[simp] lemma subtype_domain_zero : subtype_domain p (0 : α →₀ β) = 0 :=
rfl
@[to_additive]
lemma prod_subtype_domain_index [comm_monoid γ] {v : α →₀ β}
{h : α → β → γ} (hp : ∀x∈v.support, p x) :
(v.subtype_domain p).prod (λa b, h a.1 b) = v.prod h :=
prod_bij (λp _, p.val)
(λ _, mem_subtype.1)
(λ _ _, rfl)
(λ _ _ _ _, subtype.eq)
(λ b hb, ⟨⟨b, hp b hb⟩, mem_subtype.2 hb, rfl⟩)
end zero
section monoid
variables [add_monoid β] {v v' : α' →₀ β}
@[simp] lemma subtype_domain_add {v v' : α →₀ β} :
(v + v').subtype_domain p = v.subtype_domain p + v'.subtype_domain p :=
ext $ λ _, rfl
instance subtype_domain.is_add_monoid_hom :
is_add_monoid_hom (subtype_domain p : (α →₀ β) → subtype p →₀ β) :=
{ map_add := λ _ _, subtype_domain_add, map_zero := subtype_domain_zero }
@[simp] lemma filter_add {v v' : α →₀ β} :
(v + v').filter p = v.filter p + v'.filter p :=
ext $ λ a, begin
by_cases p a,
{ simp only [h, filter_apply_pos, add_apply] },
{ simp only [h, add_zero, add_apply, not_false_iff, filter_apply_neg] }
end
instance filter.is_add_monoid_hom (p : α → Prop) :
is_add_monoid_hom (filter p : (α →₀ β) → (α →₀ β)) :=
{ map_zero := filter_zero p, map_add := λ x y, filter_add }
end monoid
section comm_monoid
variables [add_comm_monoid β]
lemma subtype_domain_sum {s : finset γ} {h : γ → α →₀ β} :
(∑ c in s, h c).subtype_domain p = ∑ c in s, (h c).subtype_domain p :=
eq.symm (s.sum_hom _)
lemma subtype_domain_finsupp_sum {s : γ →₀ δ} {h : γ → δ → α →₀ β} :
(s.sum h).subtype_domain p = s.sum (λc d, (h c d).subtype_domain p) :=
subtype_domain_sum
lemma filter_sum (s : finset γ) (f : γ → α →₀ β) :
(∑ a in s, f a).filter p = ∑ a in s, filter p (f a) :=
(s.sum_hom (filter p)).symm
end comm_monoid
section group
variables [add_group β] {v v' : α' →₀ β}
@[simp] lemma subtype_domain_neg {v : α →₀ β} :
(- v).subtype_domain p = - v.subtype_domain p :=
ext $ λ _, rfl
@[simp] lemma subtype_domain_sub {v v' : α →₀ β} :
(v - v').subtype_domain p = v.subtype_domain p - v'.subtype_domain p :=
ext $ λ _, rfl
end group
end subtype_domain
/-! ### Declarations relating `finsupp` to `multiset` -/
section multiset
/-- Given `f : α →₀ ℕ`, `f.to_multiset` is the multiset with multiplicities given by the values of
`f` on the elements of `α`. -/
def to_multiset (f : α →₀ ℕ) : multiset α :=
f.sum (λa n, n •ℕ {a})
lemma to_multiset_zero : (0 : α →₀ ℕ).to_multiset = 0 :=
rfl
lemma to_multiset_add (m n : α →₀ ℕ) :
(m + n).to_multiset = m.to_multiset + n.to_multiset :=
sum_add_index (assume a, zero_nsmul _) (assume a b₁ b₂, add_nsmul _ _ _)
lemma to_multiset_single (a : α) (n : ℕ) : to_multiset (single a n) = n •ℕ {a} :=
by rw [to_multiset, sum_single_index]; apply zero_nsmul
instance is_add_monoid_hom.to_multiset : is_add_monoid_hom (to_multiset : _ → multiset α) :=
{ map_zero := to_multiset_zero, map_add := to_multiset_add }
lemma card_to_multiset (f : α →₀ ℕ) : f.to_multiset.card = f.sum (λa, id) :=
begin
refine f.induction _ _,
{ rw [to_multiset_zero, multiset.card_zero, sum_zero_index] },
{ assume a n f _ _ ih,
rw [to_multiset_add, multiset.card_add, ih, sum_add_index, to_multiset_single,
sum_single_index, multiset.card_smul, multiset.singleton_eq_singleton,
multiset.card_singleton, mul_one]; intros; refl }
end
lemma to_multiset_map (f : α →₀ ℕ) (g : α → β) :
f.to_multiset.map g = (f.map_domain g).to_multiset :=
begin
refine f.induction _ _,
{ rw [to_multiset_zero, multiset.map_zero, map_domain_zero, to_multiset_zero] },
{ assume a n f _ _ ih,
rw [to_multiset_add, multiset.map_add, ih, map_domain_add, map_domain_single,
to_multiset_single, to_multiset_add, to_multiset_single,
is_add_monoid_hom.map_nsmul (multiset.map g)],
refl }
end
lemma prod_to_multiset [comm_monoid α] (f : α →₀ ℕ) :
f.to_multiset.prod = f.prod (λa n, a ^ n) :=
begin
refine f.induction _ _,
{ rw [to_multiset_zero, multiset.prod_zero, finsupp.prod_zero_index] },
{ assume a n f _ _ ih,
rw [to_multiset_add, multiset.prod_add, ih, to_multiset_single, finsupp.prod_add_index,
finsupp.prod_single_index, multiset.prod_smul, multiset.singleton_eq_singleton,
multiset.prod_singleton],
{ exact pow_zero a },
{ exact pow_zero },
{ exact pow_add } }
end
lemma to_finset_to_multiset (f : α →₀ ℕ) : f.to_multiset.to_finset = f.support :=
begin
refine f.induction _ _,
{ rw [to_multiset_zero, multiset.to_finset_zero, support_zero] },
{ assume a n f ha hn ih,
rw [to_multiset_add, multiset.to_finset_add, ih, to_multiset_single, support_add_eq,
support_single_ne_zero hn, multiset.to_finset_nsmul _ _ hn,
multiset.singleton_eq_singleton, multiset.to_finset_cons, multiset.to_finset_zero],
refl,
refine disjoint.mono_left support_single_subset _,
rwa [finset.singleton_disjoint] }
end
@[simp] lemma count_to_multiset (f : α →₀ ℕ) (a : α) :
f.to_multiset.count a = f a :=
calc f.to_multiset.count a = f.sum (λx n, (n •ℕ {x} : multiset α).count a) :
(f.support.sum_hom $ multiset.count a).symm
... = f.sum (λx n, n * ({x} : multiset α).count a) : by simp only [multiset.count_smul]
... = f.sum (λx n, n * (x :: 0 : multiset α).count a) : rfl
... = f a * (a :: 0 : multiset α).count a : sum_eq_single _
(λ a' _ H, by simp only [multiset.count_cons_of_ne (ne.symm H), multiset.count_zero, mul_zero])
(λ H, by simp only [not_mem_support_iff.1 H, zero_mul])
... = f a : by simp only [multiset.count_singleton, mul_one]
/-- Given `m : multiset α`, `of_multiset m` is the finitely supported function from `α` to `ℕ`
given by the multiplicities of the elements of `α` in `m`. -/
def of_multiset (m : multiset α) : α →₀ ℕ :=
on_finset m.to_finset (λa, m.count a) $ λ a H, multiset.mem_to_finset.2 $
by_contradiction (mt multiset.count_eq_zero.2 H)
@[simp] lemma of_multiset_apply (m : multiset α) (a : α) :
of_multiset m a = m.count a :=
rfl
/-- `equiv_multiset` defines an `equiv` between finitely supported functions
from `α` to `ℕ` and multisets on `α`. -/
def equiv_multiset : (α →₀ ℕ) ≃ (multiset α) :=
⟨ to_multiset, of_multiset,
assume f, finsupp.ext $ λ a, by rw [of_multiset_apply, count_to_multiset],
assume m, multiset.ext.2 $ λ a, by rw [count_to_multiset, of_multiset_apply] ⟩
lemma mem_support_multiset_sum [add_comm_monoid β]
{s : multiset (α →₀ β)} (a : α) :
a ∈ s.sum.support → ∃f∈s, a ∈ (f : α →₀ β).support :=
multiset.induction_on s false.elim
begin
assume f s ih ha,
by_cases a ∈ f.support,
{ exact ⟨f, multiset.mem_cons_self _ _, h⟩ },
{ simp only [multiset.sum_cons, mem_support_iff, add_apply,
not_mem_support_iff.1 h, zero_add] at ha,
rcases ih (mem_support_iff.2 ha) with ⟨f', h₀, h₁⟩,
exact ⟨f', multiset.mem_cons_of_mem h₀, h₁⟩ }
end
lemma mem_support_finset_sum [add_comm_monoid β]
{s : finset γ} {h : γ → α →₀ β} (a : α) (ha : a ∈ (∑ c in s, h c).support) : ∃c∈s, a ∈ (h c).support :=
let ⟨f, hf, hfa⟩ := mem_support_multiset_sum a ha in
let ⟨c, hc, eq⟩ := multiset.mem_map.1 hf in
⟨c, hc, eq.symm ▸ hfa⟩
lemma mem_support_single [has_zero β] (a a' : α) (b : β) :
a ∈ (single a' b).support ↔ a = a' ∧ b ≠ 0 :=
⟨λ H : (a ∈ ite _ _ _), if h : b = 0
then by rw if_pos h at H; exact H.elim
else ⟨by rw if_neg h at H; exact mem_singleton.1 H, h⟩,
λ ⟨h1, h2⟩, show a ∈ ite _ _ _, by rw [if_neg h2]; exact mem_singleton.2 h1⟩
@[simp] lemma mem_to_multiset (f : α →₀ ℕ) (i : α) :
i ∈ f.to_multiset ↔ i ∈ f.support :=
by rw [← multiset.count_ne_zero, finsupp.count_to_multiset, finsupp.mem_support_iff]
end multiset
/-! ### Declarations about `curry` and `uncurry` -/
section curry_uncurry
/-- Given a finitely supported function `f` from a product type `α × β` to `γ`,
`curry f` is the "curried" finitely supported function from `α` to the type of
finitely supported functions from `β` to `γ`. -/
protected def curry [add_comm_monoid γ]
(f : (α × β) →₀ γ) : α →₀ (β →₀ γ) :=
f.sum $ λp c, single p.1 (single p.2 c)
lemma sum_curry_index
[add_comm_monoid γ] [add_comm_monoid δ]
(f : (α × β) →₀ γ) (g : α → β → γ → δ)
(hg₀ : ∀ a b, g a b 0 = 0) (hg₁ : ∀a b c₀ c₁, g a b (c₀ + c₁) = g a b c₀ + g a b c₁) :
f.curry.sum (λa f, f.sum (g a)) = f.sum (λp c, g p.1 p.2 c) :=
begin
rw [finsupp.curry],
transitivity,
{ exact sum_sum_index (assume a, sum_zero_index)
(assume a b₀ b₁, sum_add_index (assume a, hg₀ _ _) (assume c d₀ d₁, hg₁ _ _ _ _)) },
congr, funext p c,
transitivity,
{ exact sum_single_index sum_zero_index },
exact sum_single_index (hg₀ _ _)
end
/-- Given a finitely supported function `f` from `α` to the type of
finitely supported functions from `β` to `γ`,
`uncurry f` is the "uncurried" finitely supported function from `α × β` to `γ`. -/
protected def uncurry [add_comm_monoid γ] (f : α →₀ (β →₀ γ)) : (α × β) →₀ γ :=
f.sum $ λa g, g.sum $ λb c, single (a, b) c
/-- `finsupp_prod_equiv` defines the `equiv` between `((α × β) →₀ γ)` and `(α →₀ (β →₀ γ))` given by
currying and uncurrying. -/
def finsupp_prod_equiv [add_comm_monoid γ] : ((α × β) →₀ γ) ≃ (α →₀ (β →₀ γ)) :=
by refine ⟨finsupp.curry, finsupp.uncurry, λ f, _, λ f, _⟩; simp only [
finsupp.curry, finsupp.uncurry, sum_sum_index, sum_zero_index, sum_add_index,
sum_single_index, single_zero, single_add, eq_self_iff_true, forall_true_iff,
forall_3_true_iff, prod.mk.eta, (single_sum _ _ _).symm, sum_single]
lemma filter_curry [add_comm_monoid β] (f : α₁ × α₂ →₀ β) (p : α₁ → Prop) :
(f.filter (λa:α₁×α₂, p a.1)).curry = f.curry.filter p :=
begin
rw [finsupp.curry, finsupp.curry, finsupp.sum, finsupp.sum,
@filter_sum _ (α₂ →₀ β) _ p _ f.support _],
rw [support_filter, sum_filter],
refine finset.sum_congr rfl _,
rintros ⟨a₁, a₂⟩ ha,
dsimp only,
split_ifs,
{ rw [filter_apply_pos, filter_single_of_pos]; exact h },
{ rwa [filter_single_of_neg] }
end
lemma support_curry [add_comm_monoid β] (f : α₁ × α₂ →₀ β) :
f.curry.support ⊆ f.support.image prod.fst :=
begin
rw ← finset.bind_singleton,
refine finset.subset.trans support_sum _,
refine finset.bind_mono (assume a _, support_single_subset)
end
end curry_uncurry
section
variables [group γ] [mul_action γ α] [add_comm_monoid β]
/--
Scalar multiplication by a group element g,
given by precomposition with the action of g⁻¹ on the domain.
-/
def comap_has_scalar : has_scalar γ (α →₀ β) :=
{ smul := λ g f, f.comap_domain (λ a, g⁻¹ • a)
(λ a a' m m' h, by simpa [←mul_smul] using (congr_arg (λ a, g • a) h)) }
local attribute [instance] comap_has_scalar
/--
Scalar multiplication by a group element,
given by precomposition with the action of g⁻¹ on the domain,
is multiplicative in g.
-/
def comap_mul_action : mul_action γ (α →₀ β) :=
{ one_smul := λ f, by { ext, dsimp [(•)], simp, },
mul_smul := λ g g' f, by { ext, dsimp [(•)], simp [mul_smul], }, }
local attribute [instance] comap_mul_action
/--
Scalar multiplication by a group element,
given by precomposition with the action of g⁻¹ on the domain,
is additive in the second argument.
-/
def comap_distrib_mul_action :
distrib_mul_action γ (α →₀ β) :=
{ smul_zero := λ g, by { ext, dsimp [(•)], simp, },
smul_add := λ g f f', by { ext, dsimp [(•)], simp, }, }
/--
Scalar multiplication by a group element on finitely supported functions on a group,
given by precomposition with the action of g⁻¹. -/
def comap_distrib_mul_action_self :
distrib_mul_action γ (γ →₀ β) :=
@finsupp.comap_distrib_mul_action γ β γ _ (mul_action.regular γ) _
@[simp]
lemma comap_smul_single (g : γ) (a : α) (b : β) :
g • single a b = single (g • a) b :=
begin
ext a',
dsimp [(•)],
by_cases h : g • a = a',
{ subst h, simp [←mul_smul], },
{ simp [single_eq_of_ne h], rw [single_eq_of_ne],
rintro rfl, simpa [←mul_smul] using h, }
end
@[simp]
lemma comap_smul_apply (g : γ) (f : α →₀ β) (a : α) :
(g • f) a = f (g⁻¹ • a) := rfl
end
section
instance [semiring γ] [add_comm_monoid β] [semimodule γ β] : has_scalar γ (α →₀ β) :=
⟨λa v, v.map_range ((•) a) (smul_zero _)⟩
variables (α β)
@[simp] lemma smul_apply' {R:semiring γ} [add_comm_monoid β] [semimodule γ β]
{a : α} {b : γ} {v : α →₀ β} : (b • v) a = b • (v a) :=
rfl
instance [semiring γ] [add_comm_monoid β] [semimodule γ β] : semimodule γ (α →₀ β) :=
{ smul := (•),
smul_add := λ a x y, ext $ λ _, smul_add _ _ _,
add_smul := λ a x y, ext $ λ _, add_smul _ _ _,
one_smul := λ x, ext $ λ _, one_smul _ _,
mul_smul := λ r s x, ext $ λ _, mul_smul _ _ _,
zero_smul := λ x, ext $ λ _, zero_smul _ _,
smul_zero := λ x, ext $ λ _, smul_zero _ }
variables {α β} (γ)
/-- Evaluation at point as a linear map. This version assumes that the codomain is a semimodule
over some semiring. See also `leval`. -/
def leval' [semiring γ] [add_comm_monoid β] [semimodule γ β] (a : α) :
(α →₀ β) →ₗ[γ] β :=
⟨λ g, g a, λ _ _, add_apply, λ _ _, rfl⟩
@[simp] lemma coe_leval' [semiring γ] [add_comm_monoid β] [semimodule γ β] (a : α) (g : α →₀ β) :
leval' γ a g = g a :=
rfl
variable {γ}
/-- Evaluation at point as a linear map. This version assumes that the codomain is a semiring. -/
def leval [semiring β] (a : α) : (α →₀ β) →ₗ[β] β := leval' β a
@[simp] lemma coe_leval [semiring β] (a : α) (g : α →₀ β) : leval a g = g a := rfl
lemma support_smul {R:semiring γ} [add_comm_monoid β] [semimodule γ β] {b : γ} {g : α →₀ β} :
(b • g).support ⊆ g.support :=
λ a, by simp only [smul_apply', mem_support_iff, ne.def]; exact mt (λ h, h.symm ▸ smul_zero _)
section
variables {p : α → Prop}
@[simp] lemma filter_smul {R : semiring γ} [add_comm_monoid β] [semimodule γ β]
{b : γ} {v : α →₀ β} : (b • v).filter p = b • v.filter p :=
ext $ λ a, begin
by_cases p a,
{ simp only [h, smul_apply', filter_apply_pos] },
{ simp only [h, smul_apply', not_false_iff, filter_apply_neg, smul_zero] }
end
end
lemma map_domain_smul {α'} {R : semiring γ} [add_comm_monoid β] [semimodule γ β]
{f : α → α'} (b : γ) (v : α →₀ β) : map_domain f (b • v) = b • map_domain f v :=
begin
change map_domain f (map_range _ _ _) = map_range _ _ _,
apply finsupp.induction v, { simp only [map_domain_zero, map_range_zero] },
intros a b v' hv₁ hv₂ IH,
rw [map_range_add, map_domain_add, IH, map_domain_add, map_range_add,
map_range_single, map_domain_single, map_domain_single, map_range_single];
apply smul_add
end
@[simp] lemma smul_single {R : semiring γ} [add_comm_monoid β] [semimodule γ β]
(c : γ) (a : α) (b : β) : c • finsupp.single a b = finsupp.single a (c • b) :=
ext $ λ a', by by_cases a = a';
[{ subst h, simp only [smul_apply', single_eq_same] },
simp only [h, smul_apply', ne.def, not_false_iff, single_eq_of_ne, smul_zero]]
@[simp] lemma smul_single' {R : semiring γ}
(c : γ) (a : α) (b : γ) : c • finsupp.single a b = finsupp.single a (c * b) :=
smul_single _ _ _
lemma smul_single_one [semiring β] (a : α) (b : β) : b • single a 1 = single a b :=
by rw [smul_single, smul_eq_mul, mul_one]
/-- Two `R`-linear maps from `finsupp X R` which agree on `single x 1` agree everywhere. -/
lemma hom_ext [semiring β] [add_comm_monoid γ] [semimodule β γ] (φ ψ : (α →₀ β) →ₗ[β] γ)
(h : ∀ a : α, φ (single a 1) = ψ (single a 1)) : φ = ψ :=
linear_map.ext $ λ x, finsupp.induction x (by rw [φ.map_zero, ψ.map_zero]) $
λ _ _ _ _ _ hgh,
by rw [φ.map_add, ψ.map_add, hgh, ←smul_single_one, φ.map_smul, ψ.map_smul, h]
end
@[simp] lemma smul_apply [semiring β] {a : α} {b : β} {v : α →₀ β} :
(b • v) a = b • (v a) :=
rfl
lemma sum_smul_index [semiring β] [add_comm_monoid γ] {g : α →₀ β} {b : β} {h : α → β → γ}
(h0 : ∀i, h i 0 = 0) : (b • g).sum h = g.sum (λi a, h i (b * a)) :=
finsupp.sum_map_range_index h0
lemma sum_smul_index' [semiring β] [add_comm_monoid γ] [semimodule β γ] [add_comm_monoid δ]
{g : α →₀ γ} {b : β} {h : α → γ → δ} (h0 : ∀i, h i 0 = 0) :
(b • g).sum h = g.sum (λi c, h i (b • c)) :=
finsupp.sum_map_range_index h0
section
variables [semiring β] [semiring γ]
lemma sum_mul (b : γ) (s : α →₀ β) {f : α → β → γ} :
(s.sum f) * b = s.sum (λ a c, (f a c) * b) :=
by simp only [finsupp.sum, finset.sum_mul]
lemma mul_sum (b : γ) (s : α →₀ β) {f : α → β → γ} :
b * (s.sum f) = s.sum (λ a c, b * (f a c)) :=
by simp only [finsupp.sum, finset.mul_sum]
protected lemma eq_zero_of_zero_eq_one
(zero_eq_one : (0 : β) = 1) (l : α →₀ β) : l = 0 :=
by ext i; simp only [eq_zero_of_zero_eq_one zero_eq_one (l i), finsupp.zero_apply]
end
/-- Given an `add_comm_monoid β` and `s : set α`, `restrict_support_equiv s β` is the `equiv`
between the subtype of finitely supported functions with support contained in `s` and
the type of finitely supported functions from `s`. -/
def restrict_support_equiv (s : set α) (β : Type*) [add_comm_monoid β] :
{f : α →₀ β // ↑f.support ⊆ s } ≃ (s →₀ β):=
begin
refine ⟨λf, subtype_domain (λx, x ∈ s) f.1, λ f, ⟨f.map_domain subtype.val, _⟩, _, _⟩,
{ refine set.subset.trans (finset.coe_subset.2 map_domain_support) _,
rw [finset.coe_image, set.image_subset_iff],
exact assume x hx, x.2 },
{ rintros ⟨f, hf⟩,
apply subtype.eq,
ext a,
dsimp only,
refine classical.by_cases (assume h : a ∈ set.range (subtype.val : s → α), _) (assume h, _),
{ rcases h with ⟨x, rfl⟩,
rw [map_domain_apply subtype.val_injective, subtype_domain_apply] },
{ convert map_domain_notin_range _ _ h,
rw [← not_mem_support_iff],
refine mt _ h,
exact assume ha, ⟨⟨a, hf ha⟩, rfl⟩ } },
{ assume f,
ext ⟨a, ha⟩,
dsimp only,
rw [subtype_domain_apply, map_domain_apply subtype.val_injective] }
end
/-- Given `add_comm_monoid β` and `e : α₁ ≃ α₂`, `dom_congr e` is the corresponding `equiv` between
`α₁ →₀ β` and `α₂ →₀ β`. -/
protected def dom_congr [add_comm_monoid β] (e : α₁ ≃ α₂) : (α₁ →₀ β) ≃ (α₂ →₀ β) :=
⟨map_domain e, map_domain e.symm,
begin
assume v,
simp only [map_domain_comp.symm, (∘), equiv.symm_apply_apply],
exact map_domain_id
end,
begin
assume v,
simp only [map_domain_comp.symm, (∘), equiv.apply_symm_apply],
exact map_domain_id
end⟩
/-! ### Declarations about sigma types -/
section sigma
variables {αs : ι → Type*} [has_zero β] (l : (Σ i, αs i) →₀ β)
/-- Given `l`, a finitely supported function from the sigma type `Σ (i : ι), αs i` to `β` and
an index element `i : ι`, `split l i` is the `i`th component of `l`,
a finitely supported function from `as i` to `β`. -/
def split (i : ι) : αs i →₀ β :=
l.comap_domain (sigma.mk i) (λ x1 x2 _ _ hx, heq_iff_eq.1 (sigma.mk.inj hx).2)
lemma split_apply (i : ι) (x : αs i) : split l i x = l ⟨i, x⟩ :=
begin
dunfold split,
rw comap_domain_apply
end
/-- Given `l`, a finitely supported function from the sigma type `Σ (i : ι), αs i` to `β`,
`split_support l` is the finset of indices in `ι` that appear in the support of `l`. -/
def split_support : finset ι := l.support.image sigma.fst
lemma mem_split_support_iff_nonzero (i : ι) :
i ∈ split_support l ↔ split l i ≠ 0 :=
begin
rw [split_support, mem_image, ne.def, ← support_eq_empty, ← ne.def,
← finset.nonempty_iff_ne_empty, split, comap_domain, finset.nonempty],
simp only [exists_prop, finset.mem_preimage, exists_and_distrib_right, exists_eq_right,
mem_support_iff, sigma.exists, ne.def]
end
/-- Given `l`, a finitely supported function from the sigma type `Σ i, αs i` to `β` and
an `ι`-indexed family `g` of functions from `(αs i →₀ β)` to `γ`, `split_comp` defines a
finitely supported function from the index type `ι` to `γ` given by composing `g i` with
`split l i`. -/
def split_comp [has_zero γ] (g : Π i, (αs i →₀ β) → γ)
(hg : ∀ i x, x = 0 ↔ g i x = 0) : ι →₀ γ :=
{ support := split_support l,
to_fun := λ i, g i (split l i),
mem_support_to_fun :=
begin
intros i,
rw [mem_split_support_iff_nonzero, not_iff_not, hg],
end }
lemma sigma_support : l.support = l.split_support.sigma (λ i, (l.split i).support) :=
by simp only [finset.ext_iff, split_support, split, comap_domain, mem_image,
mem_preimage, sigma.forall, mem_sigma]; tauto
lemma sigma_sum [add_comm_monoid γ] (f : (Σ (i : ι), αs i) → β → γ) :
l.sum f = ∑ i in split_support l, (split l i).sum (λ (a : αs i) b, f ⟨i, a⟩ b) :=
by simp only [sum, sigma_support, sum_sigma, split_apply]
end sigma
end finsupp
/-! ### Declarations relating `multiset` to `finsupp` -/
namespace multiset
/-- Given a multiset `s`, `s.to_finsupp` returns the finitely supported function on `ℕ` given by
the multiplicities of the elements of `s`. -/
def to_finsupp (s : multiset α) : α →₀ ℕ :=
{ support := s.to_finset,
to_fun := λ a, s.count a,
mem_support_to_fun := λ a,
begin
rw mem_to_finset,
convert not_iff_not_of_iff (count_eq_zero.symm),
rw not_not
end }
@[simp] lemma to_finsupp_support (s : multiset α) :
s.to_finsupp.support = s.to_finset :=
rfl
@[simp] lemma to_finsupp_apply (s : multiset α) (a : α) :
s.to_finsupp a = s.count a :=
rfl
@[simp] lemma to_finsupp_zero :
to_finsupp (0 : multiset α) = 0 :=
finsupp.ext $ λ a, count_zero a
@[simp] lemma to_finsupp_add (s t : multiset α) :
to_finsupp (s + t) = to_finsupp s + to_finsupp t :=
finsupp.ext $ λ a, count_add a s t
lemma to_finsupp_singleton (a : α) :
to_finsupp {a} = finsupp.single a 1 :=
finsupp.ext $ λ b,
if h : a = b then by rw [to_finsupp_apply, finsupp.single_apply, h, if_pos rfl,
singleton_eq_singleton, count_singleton] else
begin
rw [to_finsupp_apply, finsupp.single_apply, if_neg h, count_eq_zero,
singleton_eq_singleton, mem_singleton],
rintro rfl, exact h rfl
end
namespace to_finsupp
instance : is_add_monoid_hom (to_finsupp : multiset α → α →₀ ℕ) :=
{ map_zero := to_finsupp_zero,
map_add := to_finsupp_add }
end to_finsupp
@[simp] lemma to_finsupp_to_multiset (s : multiset α) :
s.to_finsupp.to_multiset = s :=
ext.2 $ λ a, by rw [finsupp.count_to_multiset, to_finsupp_apply]
end multiset
/-! ### Declarations about order(ed) instances on `finsupp` -/
namespace finsupp
variables {σ : Type*}
instance [preorder α] [has_zero α] : preorder (σ →₀ α) :=
{ le := λ f g, ∀ s, f s ≤ g s,
le_refl := λ f s, le_refl _,
le_trans := λ f g h Hfg Hgh s, le_trans (Hfg s) (Hgh s) }
instance [partial_order α] [has_zero α] : partial_order (σ →₀ α) :=
{ le_antisymm := λ f g hfg hgf, ext $ λ s, le_antisymm (hfg s) (hgf s),
.. finsupp.preorder }
instance [ordered_cancel_add_comm_monoid α] :
add_left_cancel_semigroup (σ →₀ α) :=
{ add_left_cancel := λ a b c h, ext $ λ s,
by { rw ext_iff at h, exact add_left_cancel (h s) },
.. finsupp.add_monoid }
instance [ordered_cancel_add_comm_monoid α] :
add_right_cancel_semigroup (σ →₀ α) :=
{ add_right_cancel := λ a b c h, ext $ λ s,
by { rw ext_iff at h, exact add_right_cancel (h s) },
.. finsupp.add_monoid }
instance [ordered_cancel_add_comm_monoid α] :
ordered_cancel_add_comm_monoid (σ →₀ α) :=
{ add_le_add_left := λ a b h c s, add_le_add_left (h s) (c s),
le_of_add_le_add_left := λ a b c h s, le_of_add_le_add_left (h s),
.. finsupp.add_comm_monoid, .. finsupp.partial_order,
.. finsupp.add_left_cancel_semigroup, .. finsupp.add_right_cancel_semigroup }
lemma le_iff [canonically_ordered_add_monoid α] (f g : σ →₀ α) :
f ≤ g ↔ ∀ s ∈ f.support, f s ≤ g s :=
⟨λ h s hs, h s,
λ h s, if H : s ∈ f.support then h s H else (not_mem_support_iff.1 H).symm ▸ zero_le (g s)⟩
@[simp] lemma add_eq_zero_iff [canonically_ordered_add_monoid α] (f g : σ →₀ α) :
f + g = 0 ↔ f = 0 ∧ g = 0 :=
begin
split,
{ assume h,
split,
all_goals
{ ext s,
suffices H : f s + g s = 0,
{ rw add_eq_zero_iff at H, cases H, assumption },
show (f + g) s = 0,
rw h, refl } },
{ rintro ⟨rfl, rfl⟩, rw add_zero }
end
attribute [simp] to_multiset_zero to_multiset_add
@[simp] lemma to_multiset_to_finsupp (f : σ →₀ ℕ) :
f.to_multiset.to_finsupp = f :=
ext $ λ s, by rw [multiset.to_finsupp_apply, count_to_multiset]
lemma to_multiset_strict_mono : strict_mono (@to_multiset σ) :=
λ m n h,
begin
rw lt_iff_le_and_ne at h ⊢, cases h with h₁ h₂,
split,
{ rw multiset.le_iff_count, intro s, erw [count_to_multiset m s, count_to_multiset], exact h₁ s },
{ intro H, apply h₂, replace H := congr_arg multiset.to_finsupp H,
simpa only [to_multiset_to_finsupp] using H }
end
lemma sum_id_lt_of_lt (m n : σ →₀ ℕ) (h : m < n) :
m.sum (λ _, id) < n.sum (λ _, id) :=
begin
rw [← card_to_multiset, ← card_to_multiset],
apply multiset.card_lt_of_lt,
exact to_multiset_strict_mono h
end
variable (σ)
/-- The order on `σ →₀ ℕ` is well-founded.-/
lemma lt_wf : well_founded (@has_lt.lt (σ →₀ ℕ) _) :=
subrelation.wf (sum_id_lt_of_lt) $ inv_image.wf _ nat.lt_wf
instance decidable_le : decidable_rel (@has_le.le (σ →₀ ℕ) _) :=
λ m n, by rw le_iff; apply_instance
variable {σ}
/-- The `finsupp` counterpart of `multiset.antidiagonal`: the antidiagonal of
`s : σ →₀ ℕ` consists of all pairs `(t₁, t₂) : (σ →₀ ℕ) × (σ →₀ ℕ)` such that `t₁ + t₂ = s`.
The finitely supported function `antidiagonal s` is equal to the multiplicities of these pairs. -/
def antidiagonal (f : σ →₀ ℕ) : ((σ →₀ ℕ) × (σ →₀ ℕ)) →₀ ℕ :=
(f.to_multiset.antidiagonal.map (prod.map multiset.to_finsupp multiset.to_finsupp)).to_finsupp
lemma mem_antidiagonal_support {f : σ →₀ ℕ} {p : (σ →₀ ℕ) × (σ →₀ ℕ)} :
p ∈ (antidiagonal f).support ↔ p.1 + p.2 = f :=
begin
erw [multiset.mem_to_finset, multiset.mem_map],
split,
{ rintros ⟨⟨a, b⟩, h, rfl⟩,
rw multiset.mem_antidiagonal at h,
simpa only [to_multiset_to_finsupp, multiset.to_finsupp_add]
using congr_arg multiset.to_finsupp h},
{ intro h,
refine ⟨⟨p.1.to_multiset, p.2.to_multiset⟩, _, _⟩,
{ simpa only [multiset.mem_antidiagonal, to_multiset_add]
using congr_arg to_multiset h},
{ rw [prod.map, to_multiset_to_finsupp, to_multiset_to_finsupp, prod.mk.eta] } }
end
@[simp] lemma antidiagonal_zero : antidiagonal (0 : σ →₀ ℕ) = single (0,0) 1 :=
by rw [← multiset.to_finsupp_singleton]; refl
lemma swap_mem_antidiagonal_support {n : σ →₀ ℕ} {f} (hf : f ∈ (antidiagonal n).support) :
f.swap ∈ (antidiagonal n).support :=
by simpa only [mem_antidiagonal_support, add_comm, prod.swap] using hf
/-- Let `n : σ →₀ ℕ` be a finitely supported function.
The set of `m : σ →₀ ℕ` that are coordinatewise less than or equal to `n`,
is a finite set. -/
lemma finite_le_nat (n : σ →₀ ℕ) : set.finite {m | m ≤ n} :=
begin
let I := {i // i ∈ n.support},
let k : ℕ := ∑ i in n.support, n i,
let f : (σ →₀ ℕ) → (I → fin (k + 1)) := λ m i, m i,
have hf : ∀ m ≤ n, ∀ i, (f m i : ℕ) = m i,
{ intros m hm i,
apply fin.coe_coe_of_lt,
calc m i ≤ n i : hm i
... < k + 1 : nat.lt_succ_iff.mpr (single_le_sum (λ _ _, nat.zero_le _) i.2) },
have f_im : set.finite (f '' {m | m ≤ n}) := set.finite.of_fintype _,
suffices f_inj : set.inj_on f {m | m ≤ n},
{ exact set.finite_of_finite_image f_inj f_im },
intros m₁ h₁ m₂ h₂ h,
ext i,
by_cases hi : i ∈ n.support,
{ replace h := congr_fun h ⟨i, hi⟩,
rwa [fin.ext_iff, hf m₁ h₁, hf m₂ h₂] at h },
{ rw not_mem_support_iff at hi,
specialize h₁ i,
specialize h₂ i,
rw [hi, nat.le_zero_iff] at h₁ h₂,
rw [h₁, h₂] }
end
/-- Let `n : σ →₀ ℕ` be a finitely supported function.
The set of `m : σ →₀ ℕ` that are coordinatewise less than or equal to `n`,
but not equal to `n` everywhere, is a finite set. -/
lemma finite_lt_nat (n : σ →₀ ℕ) : set.finite {m | m < n} :=
(finite_le_nat n).subset $ λ m, le_of_lt
end finsupp
|
0bdcdb63fe278a015cbda350d4588b78a8d85c3e | 367134ba5a65885e863bdc4507601606690974c1 | /src/data/equiv/option.lean | 44486d4de3d6bc3962f5781daa438b25f2cd9680 | [
"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 | 3,225 | lean | /-
Copyright (c) 2021 Eric Wieser. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Author: Eric Wieser
-/
import data.equiv.basic
import control.equiv_functor
/-!
# Equivalences for `option α`
We define `remove_none` which acts to provide a `e : α ≃ β` if given a `f : option α ≃ option β`.
To construct an `f : option α ≃ option β` from `e : α ≃ β` such that
`f none = none` and `f (some x) = some (e x)`, use
`f = equiv_functor.map_equiv option e`.
-/
namespace equiv
variables {α β : Type*} (e : option α ≃ option β)
private def remove_none_aux (x : α) : β :=
if h : (e (some x)).is_some
then option.get h
else option.get $ show (e none).is_some, from
begin
rw ←option.ne_none_iff_is_some,
intro hn,
rw [option.not_is_some_iff_eq_none, ←hn] at h,
simpa only using e.injective h,
end
private lemma remove_none_aux_some {x : α} (h : ∃ x', e (some x) = some x') :
some (remove_none_aux e x) = e (some x) :=
by simp [remove_none_aux, option.is_some_iff_exists.mpr h]
private lemma remove_none_aux_none {x : α} (h : e (some x) = none) :
some (remove_none_aux e x) = e none :=
by simp [remove_none_aux, option.not_is_some_iff_eq_none.mpr h]
private lemma remove_none_aux_inv (x : α) : remove_none_aux e.symm (remove_none_aux e x) = x :=
option.some_injective _ begin
cases h1 : e.symm (some (remove_none_aux e x)); cases h2 : (e (some x)),
{ rw remove_none_aux_none _ h1,
exact (e.eq_symm_apply.mpr h2).symm },
{ rw remove_none_aux_some _ ⟨_, h2⟩ at h1,
simpa using h1, },
{ rw remove_none_aux_none _ h2 at h1,
simpa using h1, },
{ rw remove_none_aux_some _ ⟨_, h1⟩,
rw remove_none_aux_some _ ⟨_, h2⟩,
simp },
end
/-- Given an equivalence between two `option` types, eliminate `none` from that equivalence by
mapping `e.symm none` to `e none`. -/
def remove_none : α ≃ β :=
{ to_fun := remove_none_aux e,
inv_fun := remove_none_aux e.symm,
left_inv := remove_none_aux_inv e,
right_inv := remove_none_aux_inv e.symm, }
@[simp]
lemma remove_none_symm : (remove_none e).symm = remove_none e.symm := rfl
lemma remove_none_some {x : α} (h : ∃ x', e (some x) = some x') :
some (remove_none e x) = e (some x) := remove_none_aux_some e h
lemma remove_none_none {x : α} (h : e (some x) = none) :
some (remove_none e x) = e none := remove_none_aux_none e h
@[simp] lemma option_symm_apply_none_iff : e.symm none = none ↔ e none = none :=
⟨λ h, by simpa using (congr_arg e h).symm, λ h, by simpa using (congr_arg e.symm h).symm⟩
lemma some_remove_none_iff {x : α} :
some (remove_none e x) = e none ↔ e.symm none = some x :=
begin
cases h : e (some x) with a,
{ rw remove_none_none _ h,
simpa using (congr_arg e.symm h).symm },
{ rw remove_none_some _ ⟨a, h⟩,
have := (congr_arg e.symm h),
rw [symm_apply_apply] at this,
simp only [false_iff, apply_eq_iff_eq],
simp [this] }
end
@[simp]
lemma remove_none_map_equiv {α β : Type*} (e : α ≃ β) :
remove_none (equiv_functor.map_equiv option e) = e :=
equiv.ext $ λ x, option.some_injective _ $ remove_none_some _ ⟨e x, by simp [equiv_functor.map]⟩
end equiv
|
e0c1017670aded5a45c9685ee363a1ad0f36b3ad | fa02ed5a3c9c0adee3c26887a16855e7841c668b | /src/data/real/pi.lean | adc877dc5077aed66772c455f88016bfae6e148b | [
"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 | 19,463 | lean | /-
Copyright (c) 2019 Floris van Doorn. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Floris van Doorn, Benjamin Davidson
-/
import analysis.special_functions.integrals
/-!
# Pi
This file contains lemmas which establish bounds on or approximations of `real.pi`. Notably, these
include `pi_gt_sqrt_two_add_series` and `pi_lt_sqrt_two_add_series`, which bound `π` using series;
numerical bounds on `π` such as `pi_gt_314`and `pi_lt_315` (more precise versions are given, too);
and exact (infinite) formulas involving `π`, such as `tendsto_sum_pi_div_four`, Leibniz's
series for `π`, and `tendsto_prod_pi_div_two`, the Wallis product for `π`.
-/
open_locale real
namespace real
lemma pi_gt_sqrt_two_add_series (n : ℕ) : 2 ^ (n+1) * sqrt (2 - sqrt_two_add_series 0 n) < π :=
begin
have : sqrt (2 - sqrt_two_add_series 0 n) / 2 * 2 ^ (n+2) < π,
{ rw [← lt_div_iff, ←sin_pi_over_two_pow_succ], apply sin_lt, apply div_pos pi_pos,
all_goals { apply pow_pos, norm_num } },
apply lt_of_le_of_lt (le_of_eq _) this,
rw [pow_succ _ (n+1), ←mul_assoc, div_mul_cancel, mul_comm], norm_num
end
lemma pi_lt_sqrt_two_add_series (n : ℕ) :
π < 2 ^ (n+1) * sqrt (2 - sqrt_two_add_series 0 n) + 1 / 4 ^ n :=
begin
have : π < (sqrt (2 - sqrt_two_add_series 0 n) / 2 + 1 / (2 ^ n) ^ 3 / 4) * 2 ^ (n+2),
{ rw [← div_lt_iff, ← sin_pi_over_two_pow_succ],
refine lt_of_lt_of_le (lt_add_of_sub_right_lt (sin_gt_sub_cube _ _)) _,
{ apply div_pos pi_pos, apply pow_pos, norm_num },
{ rw div_le_iff',
{ refine le_trans pi_le_four _,
simp only [show ((4 : ℝ) = 2 ^ 2), by norm_num, mul_one],
apply pow_le_pow, norm_num, apply le_add_of_nonneg_left, apply nat.zero_le },
{ apply pow_pos, norm_num }},
apply add_le_add_left, rw div_le_div_right,
rw [le_div_iff, ←mul_pow],
refine le_trans _ (le_of_eq (one_pow 3)), apply pow_le_pow_of_le_left,
{ apply le_of_lt, apply mul_pos, apply div_pos pi_pos, apply pow_pos, norm_num, apply pow_pos,
norm_num },
rw ← le_div_iff,
refine le_trans ((div_le_div_right _).mpr pi_le_four) _, apply pow_pos, norm_num,
rw [pow_succ, pow_succ, ←mul_assoc, ←div_div_eq_div_mul],
convert le_refl _,
all_goals { repeat {apply pow_pos}, norm_num }},
apply lt_of_lt_of_le this (le_of_eq _), rw [add_mul], congr' 1,
{ rw [pow_succ _ (n+1), ←mul_assoc, div_mul_cancel, mul_comm], norm_num },
rw [pow_succ, ←pow_mul, mul_comm n 2, pow_mul, show (2 : ℝ) ^ 2 = 4, by norm_num, pow_succ,
pow_succ, ←mul_assoc (2 : ℝ), show (2 : ℝ) * 2 = 4, by norm_num, ←mul_assoc, div_mul_cancel,
mul_comm ((2 : ℝ) ^ n), ←div_div_eq_div_mul, div_mul_cancel],
apply pow_ne_zero, norm_num, norm_num
end
/-- From an upper bound on `sqrt_two_add_series 0 n = 2 cos (π / 2 ^ (n+1))` of the form
`sqrt_two_add_series 0 n ≤ 2 - (a / 2 ^ (n + 1)) ^ 2)`, one can deduce the lower bound `a < π`
thanks to basic trigonometric inequalities as expressed in `pi_gt_sqrt_two_add_series`. -/
theorem pi_lower_bound_start (n : ℕ) {a}
(h : sqrt_two_add_series ((0:ℕ) / (1:ℕ)) n ≤ 2 - (a / 2 ^ (n + 1)) ^ 2) : a < π :=
begin
refine lt_of_le_of_lt _ (pi_gt_sqrt_two_add_series n), rw [mul_comm],
refine (div_le_iff (pow_pos (by norm_num) _ : (0 : ℝ) < _)).mp (le_sqrt_of_sq_le _),
rwa [le_sub, show (0:ℝ) = (0:ℕ)/(1:ℕ), by rw [nat.cast_zero, zero_div]],
end
lemma sqrt_two_add_series_step_up (c d : ℕ) {a b n : ℕ} {z : ℝ}
(hz : sqrt_two_add_series (c/d) n ≤ z) (hb : 0 < b) (hd : 0 < d)
(h : (2 * b + a) * d ^ 2 ≤ c ^ 2 * b) : sqrt_two_add_series (a/b) (n+1) ≤ z :=
begin
refine le_trans _ hz, rw sqrt_two_add_series_succ, apply sqrt_two_add_series_monotone_left,
have hb' : 0 < (b:ℝ) := nat.cast_pos.2 hb,
have hd' : 0 < (d:ℝ) := nat.cast_pos.2 hd,
rw [sqrt_le_left (div_nonneg c.cast_nonneg d.cast_nonneg), div_pow,
add_div_eq_mul_add_div _ _ (ne_of_gt hb'), div_le_div_iff hb' (pow_pos hd' _)],
exact_mod_cast h
end
/-- Create a proof of `a < π` for a fixed rational number `a`, given a witness, which is a
sequence of rational numbers `sqrt 2 < r 1 < r 2 < ... < r n < 2` satisfying the property that
`sqrt (2 + r i) ≤ r(i+1)`, where `r 0 = 0` and `sqrt (2 - r n) ≥ a/2^(n+1)`. -/
meta def pi_lower_bound (l : list ℚ) : tactic unit :=
do let n := l.length,
tactic.apply `(@pi_lower_bound_start %%(reflect n)),
l.mmap' (λ r, do
let a := r.num.to_nat, let b := r.denom,
(() <$ tactic.apply `(@sqrt_two_add_series_step_up %%(reflect a) %%(reflect b)));
[tactic.skip, `[norm_num1], `[norm_num1], `[norm_num1]]),
`[simp only [sqrt_two_add_series, nat.cast_bit0, nat.cast_bit1, nat.cast_one, nat.cast_zero]],
`[norm_num1]
/-- From a lower bound on `sqrt_two_add_series 0 n = 2 cos (π / 2 ^ (n+1))` of the form
`2 - ((a - 1 / 4 ^ n) / 2 ^ (n + 1)) ^ 2 ≤ sqrt_two_add_series 0 n`, one can deduce the upper bound
`π < a` thanks to basic trigonometric formulas as expressed in `pi_lt_sqrt_two_add_series`. -/
theorem pi_upper_bound_start (n : ℕ) {a}
(h : 2 - ((a - 1 / 4 ^ n) / 2 ^ (n + 1)) ^ 2 ≤ sqrt_two_add_series ((0:ℕ) / (1:ℕ)) n)
(h₂ : 1 / 4 ^ n ≤ a) : π < a :=
begin
refine lt_of_lt_of_le (pi_lt_sqrt_two_add_series n) _,
rw [← le_sub_iff_add_le, ← le_div_iff', sqrt_le_left, sub_le],
{ rwa [nat.cast_zero, zero_div] at h },
{ exact div_nonneg (sub_nonneg.2 h₂) (pow_nonneg (le_of_lt zero_lt_two) _) },
{ exact pow_pos zero_lt_two _ }
end
lemma sqrt_two_add_series_step_down (a b : ℕ) {c d n : ℕ} {z : ℝ}
(hz : z ≤ sqrt_two_add_series (a/b) n) (hb : 0 < b) (hd : 0 < d)
(h : a ^ 2 * d ≤ (2 * d + c) * b ^ 2) : z ≤ sqrt_two_add_series (c/d) (n+1) :=
begin
apply le_trans hz, rw sqrt_two_add_series_succ, apply sqrt_two_add_series_monotone_left,
apply le_sqrt_of_sq_le,
have hb' : 0 < (b:ℝ) := nat.cast_pos.2 hb,
have hd' : 0 < (d:ℝ) := nat.cast_pos.2 hd,
rw [div_pow, add_div_eq_mul_add_div _ _ (ne_of_gt hd'), div_le_div_iff (pow_pos hb' _) hd'],
exact_mod_cast h
end
/-- Create a proof of `π < a` for a fixed rational number `a`, given a witness, which is a
sequence of rational numbers `sqrt 2 < r 1 < r 2 < ... < r n < 2` satisfying the property that
`sqrt (2 + r i) ≥ r(i+1)`, where `r 0 = 0` and `sqrt (2 - r n) ≥ (a - 1/4^n) / 2^(n+1)`. -/
meta def pi_upper_bound (l : list ℚ) : tactic unit :=
do let n := l.length,
(() <$ tactic.apply `(@pi_upper_bound_start %%(reflect n))); [pure (), `[norm_num1]],
l.mmap' (λ r, do
let a := r.num.to_nat, let b := r.denom,
(() <$ tactic.apply `(@sqrt_two_add_series_step_down %%(reflect a) %%(reflect b)));
[pure (), `[norm_num1], `[norm_num1], `[norm_num1]]),
`[simp only [sqrt_two_add_series, nat.cast_bit0, nat.cast_bit1, nat.cast_one, nat.cast_zero]],
`[norm_num]
lemma pi_gt_three : 3 < π := by pi_lower_bound [23/16]
lemma pi_gt_314 : 3.14 < π := by pi_lower_bound [99/70, 874/473, 1940/989, 1447/727]
lemma pi_lt_315 : π < 3.15 := by pi_upper_bound [140/99, 279/151, 51/26, 412/207]
lemma pi_gt_31415 : 3.1415 < π := by pi_lower_bound [
11482/8119, 5401/2923, 2348/1197, 11367/5711, 25705/12868, 23235/11621]
lemma pi_lt_31416 : π < 3.1416 := by pi_upper_bound [
4756/3363, 101211/54775, 505534/257719, 83289/41846,
411278/205887, 438142/219137, 451504/225769, 265603/132804, 849938/424971]
lemma pi_gt_3141592 : 3.141592 < π := by pi_lower_bound [
11482/8119, 7792/4217, 54055/27557, 949247/476920, 3310126/1657059,
2635492/1318143, 1580265/790192, 1221775/610899, 3612247/1806132, 849943/424972]
lemma pi_lt_3141593 : π < 3.141593 := by pi_upper_bound [
27720/19601, 56935/30813, 49359/25163, 258754/130003, 113599/56868, 1101994/551163,
8671537/4336095, 3877807/1938940, 52483813/26242030, 56946167/28473117, 23798415/11899211]
/-! ### Leibniz's Series for Pi -/
open filter set
open_locale classical big_operators topological_space
local notation `|`x`|` := abs x
/-- This theorem establishes Leibniz's series for `π`: The alternating sum of the reciprocals of the
odd numbers is `π/4`. Note that this is a conditionally rather than absolutely convergent series.
The main tool that this proof uses is the Mean Value Theorem (specifically avoiding the
Fundamental Theorem of Calculus).
Intuitively, the theorem holds because Leibniz's series is the Taylor series of `arctan x`
centered about `0` and evaluated at the value `x = 1`. Therefore, much of this proof consists of
reasoning about a function
`f := arctan x - ∑ i in finset.range k, (-(1:ℝ))^i * x^(2*i+1) / (2*i+1)`,
the difference between `arctan` and the `k`-th partial sum of its Taylor series. Some ingenuity is
required due to the fact that the Taylor series is not absolutely convergent at `x = 1`.
This proof requires a bound on `f 1`, the key idea being that `f 1` can be split as the sum of
`f 1 - f u` and `f u`, where `u` is a sequence of values in [0,1], carefully chosen such that
each of these two terms can be controlled (in different ways).
We begin the proof by (1) introducing that sequence `u` and then proving that another sequence
constructed from `u` tends to `0` at `+∞`. After (2) converting the limit in our goal to an
inequality, we (3) introduce the auxiliary function `f` defined above. Next, we (4) compute the
derivative of `f`, denoted by `f'`, first generally and then on each of two subintervals of [0,1].
We then (5) prove a bound for `f'`, again both generally as well as on each of the two
subintervals. Finally, we (6) apply the Mean Value Theorem twice, obtaining bounds on `f 1 - f u`
and `f u - f 0` from the bounds on `f'` (note that `f 0 = 0`). -/
theorem tendsto_sum_pi_div_four :
tendsto (λ k, ∑ i in finset.range k, ((-(1:ℝ))^i / (2*i+1))) at_top (𝓝 (π/4)) :=
begin
rw [tendsto_iff_norm_tendsto_zero, ← tendsto_zero_iff_norm_tendsto_zero],
-- (1) We introduce a useful sequence `u` of values in [0,1], then prove that another sequence
-- constructed from `u` tends to `0` at `+∞`
let u := λ k : ℕ, (k:nnreal) ^ (-1 / (2 * (k:ℝ) + 1)),
have H : tendsto (λ k : ℕ, (1:ℝ) - (u k) + (u k) ^ (2 * (k:ℝ) + 1)) at_top (𝓝 0),
{ convert (((tendsto_rpow_div_mul_add (-1) 2 1 two_ne_zero.symm).neg.const_add 1).add
tendsto_inv_at_top_zero).comp tendsto_coe_nat_at_top_at_top,
{ ext k,
simp only [nnreal.coe_nat_cast, function.comp_app, nnreal.coe_rpow],
rw [← rpow_mul (nat.cast_nonneg k) ((-1)/(2*(k:ℝ)+1)) (2*(k:ℝ)+1),
@div_mul_cancel _ _ _ (2*(k:ℝ)+1)
(by { norm_cast, simp only [nat.succ_ne_zero, not_false_iff] }), rpow_neg_one k,
sub_eq_add_neg] },
{ simp only [add_zero, add_right_neg] } },
-- (2) We convert the limit in our goal to an inequality
refine squeeze_zero_norm _ H,
intro k,
-- Since `k` is now fixed, we henceforth denote `u k` as `U`
let U := u k,
-- (3) We introduce an auxiliary function `f`
let b := λ (i:ℕ) x, (-(1:ℝ))^i * x^(2*i+1) / (2*i+1),
let f := λ x, arctan x - (∑ i in finset.range k, b i x),
suffices f_bound : |f 1 - f 0| ≤ (1:ℝ) - U + U ^ (2 * (k:ℝ) + 1),
{ rw ← norm_neg,
convert f_bound,
simp only [f], simp [b] },
-- We show that `U` is indeed in [0,1]
have hU1 : (U:ℝ) ≤ 1,
{ by_cases hk : k = 0,
{ simpa only [U, hk] using zero_rpow_le_one _ },
{ exact rpow_le_one_of_one_le_of_nonpos (by { norm_cast, exact nat.succ_le_iff.mpr
(nat.pos_of_ne_zero hk) }) (le_of_lt (@div_neg_of_neg_of_pos _ _ (-(1:ℝ)) (2*k+1)
(neg_neg_iff_pos.mpr zero_lt_one) (by { norm_cast, exact nat.succ_pos' }))) } },
have hU2 := nnreal.coe_nonneg U,
-- (4) We compute the derivative of `f`, denoted by `f'`
let f' := λ x : ℝ, (-x^2) ^ k / (1 + x^2),
have has_deriv_at_f : ∀ x, has_deriv_at f (f' x) x,
{ intro x,
have has_deriv_at_b : ∀ i ∈ finset.range k, (has_deriv_at (b i) ((-x^2)^i) x),
{ intros i hi,
convert has_deriv_at.const_mul ((-1:ℝ)^i / (2*i+1)) (@has_deriv_at.pow _ _ _ _ _ (2*i+1)
(has_deriv_at_id x)),
{ ext y,
simp only [b, id.def],
ring },
{ simp only [nat.add_succ_sub_one, add_zero, mul_one, id.def, nat.cast_bit0, nat.cast_add,
nat.cast_one, nat.cast_mul],
rw [← mul_assoc, @div_mul_cancel _ _ _ (2*(i:ℝ)+1) (by { norm_cast, linarith }),
pow_mul x 2 i, ← mul_pow (-1) (x^2) i],
ring_nf } },
convert (has_deriv_at_arctan x).sub (has_deriv_at.sum has_deriv_at_b),
have g_sum :=
@geom_sum_eq _ _ (-x^2) ((neg_nonpos.mpr (sq_nonneg x)).trans_lt zero_lt_one).ne k,
simp only [geom_sum, f'] at g_sum ⊢,
rw [g_sum, ← neg_add' (x^2) 1, add_comm (x^2) 1, sub_eq_add_neg, neg_div', neg_div_neg_eq],
ring },
have hderiv1 : ∀ x ∈ Icc (U:ℝ) 1, has_deriv_within_at f (f' x) (Icc (U:ℝ) 1) x :=
λ x hx, (has_deriv_at_f x).has_deriv_within_at,
have hderiv2 : ∀ x ∈ Icc 0 (U:ℝ), has_deriv_within_at f (f' x) (Icc 0 (U:ℝ)) x :=
λ x hx, (has_deriv_at_f x).has_deriv_within_at,
-- (5) We prove a general bound for `f'` and then more precise bounds on each of two subintervals
have f'_bound : ∀ x ∈ Icc (-1:ℝ) 1, |f' x| ≤ |x|^(2*k),
{ intros x hx,
rw [abs_div, is_absolute_value.abv_pow abs (-x^2) k, abs_neg, is_absolute_value.abv_pow abs x 2,
tactic.ring_exp.pow_e_pf_exp rfl rfl],
refine div_le_of_nonneg_of_le_mul (abs_nonneg _) (pow_nonneg (abs_nonneg _) _) _,
refine le_mul_of_one_le_right (pow_nonneg (abs_nonneg _) _) _,
rw abs_of_nonneg ((add_nonneg zero_le_one (sq_nonneg x)) : (0 : ℝ) ≤ _),
exact (le_add_of_nonneg_right (sq_nonneg x) : (1 : ℝ) ≤ _) },
have hbound1 : ∀ x ∈ Ico (U:ℝ) 1, |f' x| ≤ 1,
{ rintros x ⟨hx_left, hx_right⟩,
have hincr := pow_le_pow_of_le_left (le_trans hU2 hx_left) (le_of_lt hx_right) (2*k),
rw [one_pow (2*k), ← abs_of_nonneg (le_trans hU2 hx_left)] at hincr,
rw ← abs_of_nonneg (le_trans hU2 hx_left) at hx_right,
linarith [f'_bound x (mem_Icc.mpr (abs_le.mp (le_of_lt hx_right)))] },
have hbound2 : ∀ x ∈ Ico 0 (U:ℝ), |f' x| ≤ U ^ (2*k),
{ rintros x ⟨hx_left, hx_right⟩,
have hincr := pow_le_pow_of_le_left hx_left (le_of_lt hx_right) (2*k),
rw ← abs_of_nonneg hx_left at hincr hx_right,
rw ← abs_of_nonneg hU2 at hU1 hx_right,
linarith [f'_bound x (mem_Icc.mpr (abs_le.mp (le_trans (le_of_lt hx_right) hU1)))] },
-- (6) We twice apply the Mean Value Theorem to obtain bounds on `f` from the bounds on `f'`
have mvt1 :=
norm_image_sub_le_of_norm_deriv_le_segment' hderiv1 hbound1 _ (right_mem_Icc.mpr hU1),
have mvt2 :=
norm_image_sub_le_of_norm_deriv_le_segment' hderiv2 hbound2 _ (right_mem_Icc.mpr hU2),
-- The following algebra is enough to complete the proof
calc |f 1 - f 0| = |(f 1 - f U) + (f U - f 0)| : by ring_nf
... ≤ 1 * (1-U) + U^(2*k) * (U - 0) : le_trans (abs_add (f 1 - f U) (f U - f 0))
(add_le_add mvt1 mvt2)
... = 1 - U + U^(2*k) * U : by ring
... = 1 - (u k) + (u k)^(2*(k:ℝ)+1) : by { rw [← pow_succ' (U:ℝ) (2*k)], norm_cast },
end
/-! ### The Wallis Product for Pi -/
open finset interval_integral
lemma integral_sin_pow_div_tendsto_one :
tendsto (λ k, (∫ x in 0..π, sin x ^ (2 * k + 1)) / ∫ x in 0..π, sin x ^ (2 * k)) at_top (𝓝 1) :=
begin
have h₃ : ∀ n, (∫ x in 0..π, sin x ^ (2 * n + 1)) / ∫ x in 0..π, sin x ^ (2 * n) ≤ 1 :=
λ n, (div_le_one (integral_sin_pow_pos _)).mpr (integral_sin_pow_antimono _),
have h₄ :
∀ n, (∫ x in 0..π, sin x ^ (2 * n + 1)) / ∫ x in 0..π, sin x ^ (2 * n) ≥ 2 * n / (2 * n + 1),
{ rintro ⟨n⟩,
{ have : 0 ≤ (1 + 1) / π, exact div_nonneg (by norm_num) pi_pos.le,
simp [this] },
calc (∫ x in 0..π, sin x ^ (2 * n.succ + 1)) / ∫ x in 0..π, sin x ^ (2 * n.succ) ≥
(∫ x in 0..π, sin x ^ (2 * n.succ + 1)) / ∫ x in 0..π, sin x ^ (2 * n + 1) :
by { refine div_le_div (integral_sin_pow_pos _).le (le_refl _) (integral_sin_pow_pos _) _,
convert integral_sin_pow_antimono (2 * n + 1) using 1 }
... = 2 * ↑(n.succ) / (2 * ↑(n.succ) + 1) :
by { rw div_eq_iff (integral_sin_pow_pos (2 * n + 1)).ne',
convert integral_sin_pow (2 * n + 1), simp with field_simps, norm_cast } },
refine tendsto_of_tendsto_of_tendsto_of_le_of_le _ _ (λ n, (h₄ n).le) (λ n, (h₃ n)),
{ refine metric.tendsto_at_top.mpr (λ ε hε, ⟨nat_ceil (1 / ε), λ n hn, _⟩),
have h : (2:ℝ) * n / (2 * n + 1) - 1 = -1 / (2 * n + 1),
{ conv_lhs { congr, skip, rw ← @div_self _ _ ((2:ℝ) * n + 1) (by { norm_cast, linarith }), },
rw [← sub_div, ← sub_sub, sub_self, zero_sub] },
have hpos : (0:ℝ) < 2 * n + 1, { norm_cast, norm_num },
rw [dist_eq, h, abs_div, abs_neg, abs_one, abs_of_pos hpos, one_div_lt hpos hε],
calc 1 / ε ≤ nat_ceil (1 / ε) : le_nat_ceil _
... ≤ n : by exact_mod_cast hn.le
... < 2 * n + 1 : by { norm_cast, linarith } },
{ exact tendsto_const_nhds },
end
/-- This theorem establishes the Wallis Product for `π`. Our proof is largely about analyzing
the behavior of the ratio of the integral of `sin x ^ n` as `n → ∞`.
See: https://en.wikipedia.org/wiki/Wallis_product
The proof can be broken down into two pieces.
(Pieces involving general properties of the integral of `sin x ^n` can be found
in `analysis.special_functions.integrals`.) First, we use integration by parts to obtain a
recursive formula for `∫ x in 0..π, sin x ^ (n + 2)` in terms of `∫ x in 0..π, sin x ^ n`.
From this we can obtain closed form products of `∫ x in 0..π, sin x ^ (2 * n)` and
`∫ x in 0..π, sin x ^ (2 * n + 1)` via induction. Next, we study the behavior of the ratio
`∫ (x : ℝ) in 0..π, sin x ^ (2 * k + 1)) / ∫ (x : ℝ) in 0..π, sin x ^ (2 * k)` and prove that
it converges to one using the squeeze theorem. The final product for `π` is obtained after some
algebraic manipulation. -/
theorem tendsto_prod_pi_div_two :
tendsto (λ k, ∏ i in range k,
(((2:ℝ) * i + 2) / (2 * i + 1)) * ((2 * i + 2) / (2 * i + 3))) at_top (𝓝 (π/2)) :=
begin
suffices h : tendsto (λ k, 2 / π * ∏ i in range k,
(((2:ℝ) * i + 2) / (2 * i + 1)) * ((2 * i + 2) / (2 * i + 3))) at_top (𝓝 1),
{ have := tendsto.const_mul (π / 2) h,
have h : π / 2 ≠ 0, norm_num [pi_ne_zero],
simp only [← mul_assoc, ← @inv_div _ _ π 2, mul_inv_cancel h, one_mul, mul_one] at this,
exact this },
have h : (λ (k : ℕ), (2:ℝ) / π * ∏ (i : ℕ) in range k,
((2 * i + 2) / (2 * i + 1)) * ((2 * i + 2) / (2 * i + 3))) =
λ k, (2 * ∏ i in range k,
(2 * i + 2) / (2 * i + 3)) / (π * ∏ (i : ℕ) in range k, (2 * i + 1) / (2 * i + 2)),
{ funext,
have h : ∏ (i : ℕ) in range k, ((2:ℝ) * ↑i + 2) / (2 * ↑i + 1) =
1 / (∏ (i : ℕ) in range k, (2 * ↑i + 1) / (2 * ↑i + 2)),
{ rw [one_div, ← finset.prod_inv_distrib'],
refine prod_congr rfl (λ x hx, _),
field_simp },
rw [prod_mul_distrib, h],
field_simp },
simp only [h, ← integral_sin_pow_even, ← integral_sin_pow_odd],
exact integral_sin_pow_div_tendsto_one,
end
end real
|
8ce5321e87f7563224849922bafd8c7df4fcb58a | e0f9ba56b7fedc16ef8697f6caeef5898b435143 | /src/data/complex/exponential.lean | 93ff46dbd69ffbc93e9585f2ee9b5f8b1d8c5012 | [
"Apache-2.0"
] | permissive | anrddh/mathlib | 6a374da53c7e3a35cb0298b0cd67824efef362b4 | a4266a01d2dcb10de19369307c986d038c7bb6a6 | refs/heads/master | 1,656,710,827,909 | 1,589,560,456,000 | 1,589,560,456,000 | 264,271,800 | 0 | 0 | Apache-2.0 | 1,589,568,062,000 | 1,589,568,061,000 | null | UTF-8 | Lean | false | false | 47,769 | lean | /-
Copyright (c) 2018 Chris Hughes. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Chris Hughes, Abhimanyu Pallavi Sudhir
-/
import algebra.geom_sum
import data.nat.choose
import data.complex.basic
local notation `abs'` := _root_.abs
open is_absolute_value
open_locale classical
section
open real is_absolute_value finset
lemma forall_ge_le_of_forall_le_succ {α : Type*} [preorder α] (f : ℕ → α) {m : ℕ}
(h : ∀ n ≥ m, f n.succ ≤ f n) : ∀ {l}, ∀ k ≥ m, k ≤ l → f l ≤ f k :=
begin
assume l k hkm hkl,
generalize hp : l - k = p,
have : l = k + p := add_comm p k ▸ (nat.sub_eq_iff_eq_add hkl).1 hp,
subst this,
clear hkl hp,
induction p with p ih,
{ simp },
{ exact le_trans (h _ (le_trans hkm (nat.le_add_right _ _))) ih }
end
variables {α : Type*} {β : Type*} [ring β]
[discrete_linear_ordered_field α] [archimedean α] {abv : β → α} [is_absolute_value abv]
lemma is_cau_of_decreasing_bounded (f : ℕ → α) {a : α} {m : ℕ} (ham : ∀ n ≥ m, abs (f n) ≤ a)
(hnm : ∀ n ≥ m, f n.succ ≤ f n) : is_cau_seq abs f :=
λ ε ε0,
let ⟨k, hk⟩ := archimedean.arch a ε0 in
have h : ∃ l, ∀ n ≥ m, a - add_monoid.smul l ε < f n :=
⟨k + k + 1, λ n hnm, lt_of_lt_of_le
(show a - add_monoid.smul (k + (k + 1)) ε < -abs (f n),
from lt_neg.1 $ lt_of_le_of_lt (ham n hnm) (begin
rw [neg_sub, lt_sub_iff_add_lt, add_monoid.add_smul],
exact add_lt_add_of_le_of_lt hk (lt_of_le_of_lt hk
(lt_add_of_pos_left _ ε0)),
end))
(neg_le.2 $ (abs_neg (f n)) ▸ le_abs_self _)⟩,
let l := nat.find h in
have hl : ∀ (n : ℕ), n ≥ m → f n > a - add_monoid.smul l ε := nat.find_spec h,
have hl0 : l ≠ 0 := λ hl0, not_lt_of_ge (ham m (le_refl _))
(lt_of_lt_of_le (by have := hl m (le_refl m); simpa [hl0] using this) (le_abs_self (f m))),
begin
cases classical.not_forall.1
(nat.find_min h (nat.pred_lt hl0)) with i hi,
rw [not_imp, not_lt] at hi,
existsi i,
assume j hj,
have hfij : f j ≤ f i := forall_ge_le_of_forall_le_succ f hnm _ hi.1 hj,
rw [abs_of_nonpos (sub_nonpos.2 hfij), neg_sub, sub_lt_iff_lt_add'],
exact calc f i ≤ a - add_monoid.smul (nat.pred l) ε : hi.2
... = a - add_monoid.smul l ε + ε :
by conv {to_rhs, rw [← nat.succ_pred_eq_of_pos (nat.pos_of_ne_zero hl0), succ_smul',
sub_add, add_sub_cancel] }
... < f j + ε : add_lt_add_right (hl j (le_trans hi.1 hj)) _
end
lemma is_cau_of_mono_bounded (f : ℕ → α) {a : α} {m : ℕ} (ham : ∀ n ≥ m, abs (f n) ≤ a)
(hnm : ∀ n ≥ m, f n ≤ f n.succ) : is_cau_seq abs f :=
begin
refine @eq.rec_on (ℕ → α) _ (is_cau_seq abs) _ _
(-⟨_, @is_cau_of_decreasing_bounded _ _ _ (λ n, -f n) a m (by simpa) (by simpa)⟩ : cau_seq α abs).2,
ext,
exact neg_neg _
end
lemma is_cau_series_of_abv_le_cau {f : ℕ → β} {g : ℕ → α} (n : ℕ) : (∀ m, n ≤ m → abv (f m) ≤ g m) →
is_cau_seq abs (λ n, (range n).sum g) → is_cau_seq abv (λ n, (range n).sum f) :=
begin
assume hm hg ε ε0,
cases hg (ε / 2) (div_pos ε0 (by norm_num)) with i hi,
existsi max n i,
assume j ji,
have hi₁ := hi j (le_trans (le_max_right n i) ji),
have hi₂ := hi (max n i) (le_max_right n i),
have sub_le := abs_sub_le ((range j).sum g) ((range i).sum g) ((range (max n i)).sum g),
have := add_lt_add hi₁ hi₂,
rw [abs_sub ((range (max n i)).sum g), add_halves ε] at this,
refine lt_of_le_of_lt (le_trans (le_trans _ (le_abs_self _)) sub_le) this,
generalize hk : j - max n i = k,
clear this hi₂ hi₁ hi ε0 ε hg sub_le,
rw nat.sub_eq_iff_eq_add ji at hk,
rw hk,
clear hk ji j,
induction k with k' hi,
{ simp [abv_zero abv] },
{ dsimp at *,
simp only [nat.succ_add, sum_range_succ, sub_eq_add_neg, add_assoc],
refine le_trans (abv_add _ _ _) _,
exact add_le_add (hm _ (le_add_of_nonneg_of_le (nat.zero_le _) (le_max_left _ _))) hi },
end
lemma is_cau_series_of_abv_cau {f : ℕ → β} : is_cau_seq abs (λ m, (range m).sum (λ n, abv (f n))) →
is_cau_seq abv (λ m, (range m).sum f) :=
is_cau_series_of_abv_le_cau 0 (λ n h, le_refl _)
lemma is_cau_geo_series {β : Type*} [field β] {abv : β → α} [is_absolute_value abv]
(x : β) (hx1 : abv x < 1) : is_cau_seq abv (λ n, (range n).sum (λ m, x ^ m)) :=
have hx1' : abv x ≠ 1 := λ h, by simpa [h, lt_irrefl] using hx1,
is_cau_series_of_abv_cau
begin
simp only [abv_pow abv] {eta := ff},
have : (λ (m : ℕ), (range m).sum (λ n, (abv x) ^ n)) =
λ m, geom_series (abv x) m := rfl,
simp only [this, geom_sum hx1'] {eta := ff},
conv in (_ / _) { rw [← neg_div_neg_eq, neg_sub, neg_sub] },
refine @is_cau_of_mono_bounded _ _ _ _ ((1 : α) / (1 - abv x)) 0 _ _,
{ assume n hn,
rw abs_of_nonneg,
refine div_le_div_of_le_of_pos (sub_le_self _ (abv_pow abv x n ▸ abv_nonneg _ _))
(sub_pos.2 hx1),
refine div_nonneg (sub_nonneg.2 _) (sub_pos.2 hx1),
clear hn,
induction n with n ih,
{ simp },
{ rw [_root_.pow_succ, ← one_mul (1 : α)],
refine mul_le_mul (le_of_lt hx1) ih (abv_pow abv x n ▸ abv_nonneg _ _) (by norm_num) } },
{ assume n hn,
refine div_le_div_of_le_of_pos (sub_le_sub_left _ _) (sub_pos.2 hx1),
rw [← one_mul (_ ^ n), _root_.pow_succ],
exact mul_le_mul_of_nonneg_right (le_of_lt hx1) (pow_nonneg (abv_nonneg _ _) _) }
end
lemma is_cau_geo_series_const (a : α) {x : α} (hx1 : abs x < 1) : is_cau_seq abs (λ m, (range m).sum (λ n, a * x ^ n)) :=
have is_cau_seq abs (λ m, a * (range m).sum (λ n, x ^ n)) := (cau_seq.const abs a * ⟨_, is_cau_geo_series x hx1⟩).2,
by simpa only [mul_sum]
lemma series_ratio_test {f : ℕ → β} (n : ℕ) (r : α)
(hr0 : 0 ≤ r) (hr1 : r < 1) (h : ∀ m, n ≤ m → abv (f m.succ) ≤ r * abv (f m)) :
is_cau_seq abv (λ m, (range m).sum f) :=
have har1 : abs r < 1, by rwa abs_of_nonneg hr0,
begin
refine is_cau_series_of_abv_le_cau n.succ _ (is_cau_geo_series_const (abv (f n.succ) * r⁻¹ ^ n.succ) har1),
assume m hmn,
cases classical.em (r = 0) with r_zero r_ne_zero,
{ have m_pos := lt_of_lt_of_le (nat.succ_pos n) hmn,
have := h m.pred (nat.le_of_succ_le_succ (by rwa [nat.succ_pred_eq_of_pos m_pos])),
simpa [r_zero, nat.succ_pred_eq_of_pos m_pos, pow_succ] },
generalize hk : m - n.succ = k,
have r_pos : 0 < r := lt_of_le_of_ne hr0 (ne.symm r_ne_zero),
replace hk : m = k + n.succ := (nat.sub_eq_iff_eq_add hmn).1 hk,
induction k with k ih generalizing m n,
{ rw [hk, zero_add, mul_right_comm, inv_pow' _ _, ← div_eq_mul_inv, mul_div_cancel],
exact (ne_of_lt (pow_pos r_pos _)).symm },
{ have kn : k + n.succ ≥ n.succ, by rw ← zero_add n.succ; exact add_le_add (zero_le _) (by simp),
rw [hk, nat.succ_add, pow_succ' r, ← mul_assoc],
exact le_trans (by rw mul_comm; exact h _ (nat.le_of_succ_le kn))
(mul_le_mul_of_nonneg_right (ih (k + n.succ) n h kn rfl) hr0) }
end
lemma sum_range_diag_flip {α : Type*} [add_comm_monoid α] (n : ℕ) (f : ℕ → ℕ → α) :
(range n).sum (λ m, (range (m + 1)).sum (λ k, f k (m - k))) =
(range n).sum (λ m, (range (n - m)).sum (f m)) :=
have h₁ : ((range n).sigma (range ∘ nat.succ)).sum
(λ (a : Σ m, ℕ), f (a.2) (a.1 - a.2)) =
(range n).sum (λ m, (range (m + 1)).sum
(λ k, f k (m - k))) := sum_sigma,
have h₂ : ((range n).sigma (λ m, range (n - m))).sum (λ a : Σ (m : ℕ), ℕ, f (a.1) (a.2)) =
(range n).sum (λ m, (range (n - m)).sum (f m)) := sum_sigma,
h₁ ▸ h₂ ▸ sum_bij
(λ a _, ⟨a.2, a.1 - a.2⟩)
(λ a ha, have h₁ : a.1 < n := mem_range.1 (mem_sigma.1 ha).1,
have h₂ : a.2 < nat.succ a.1 := mem_range.1 (mem_sigma.1 ha).2,
mem_sigma.2 ⟨mem_range.2 (lt_of_lt_of_le h₂ h₁),
mem_range.2 ((nat.sub_lt_sub_right_iff (nat.le_of_lt_succ h₂)).2 h₁)⟩)
(λ _ _, rfl)
(λ ⟨a₁, a₂⟩ ⟨b₁, b₂⟩ ha hb h,
have ha : a₁ < n ∧ a₂ ≤ a₁ :=
⟨mem_range.1 (mem_sigma.1 ha).1, nat.le_of_lt_succ (mem_range.1 (mem_sigma.1 ha).2)⟩,
have hb : b₁ < n ∧ b₂ ≤ b₁ :=
⟨mem_range.1 (mem_sigma.1 hb).1, nat.le_of_lt_succ (mem_range.1 (mem_sigma.1 hb).2)⟩,
have h : a₂ = b₂ ∧ _ := sigma.mk.inj h,
have h' : a₁ = b₁ - b₂ + a₂ := (nat.sub_eq_iff_eq_add ha.2).1 (eq_of_heq h.2),
sigma.mk.inj_iff.2
⟨nat.sub_add_cancel hb.2 ▸ h'.symm ▸ h.1 ▸ rfl,
(heq_of_eq h.1)⟩)
(λ ⟨a₁, a₂⟩ ha,
have ha : a₁ < n ∧ a₂ < n - a₁ :=
⟨mem_range.1 (mem_sigma.1 ha).1, (mem_range.1 (mem_sigma.1 ha).2)⟩,
⟨⟨a₂ + a₁, a₁⟩, ⟨mem_sigma.2 ⟨mem_range.2 (nat.lt_sub_right_iff_add_lt.1 ha.2),
mem_range.2 (nat.lt_succ_of_le (nat.le_add_left _ _))⟩,
sigma.mk.inj_iff.2 ⟨rfl, heq_of_eq (nat.add_sub_cancel _ _).symm⟩⟩⟩)
lemma abv_sum_le_sum_abv {γ : Type*} (f : γ → β) (s : finset γ) :
abv (s.sum f) ≤ s.sum (abv ∘ f) :=
by haveI := classical.dec_eq γ; exact
finset.induction_on s (by simp [abv_zero abv])
(λ a s has ih, by rw [sum_insert has, sum_insert has];
exact le_trans (abv_add abv _ _) (add_le_add_left ih _))
lemma sum_range_sub_sum_range {α : Type*} [add_comm_group α] {f : ℕ → α}
{n m : ℕ} (hnm : n ≤ m) : (range m).sum f - (range n).sum f =
((range m).filter (λ k, n ≤ k)).sum f :=
begin
rw [← sum_sdiff (@filter_subset _ (λ k, n ≤ k) _ (range m)),
sub_eq_iff_eq_add, ← eq_sub_iff_add_eq, add_sub_cancel'],
refine finset.sum_congr
(finset.ext.2 $ λ a, ⟨λ h, by simp at *; finish,
λ h, have ham : a < m := lt_of_lt_of_le (mem_range.1 h) hnm,
by simp * at *⟩)
(λ _ _, rfl),
end
lemma cauchy_product {a b : ℕ → β}
(ha : is_cau_seq abs (λ m, (range m).sum (λ n, abv (a n))))
(hb : is_cau_seq abv (λ m, (range m).sum b)) (ε : α) (ε0 : 0 < ε) :
∃ i : ℕ, ∀ j ≥ i, abv ((range j).sum a * (range j).sum b -
(range j).sum (λ n, (range (n + 1)).sum (λ m, a m * b (n - m)))) < ε :=
let ⟨Q, hQ⟩ := cau_seq.bounded ⟨_, hb⟩ in
let ⟨P, hP⟩ := cau_seq.bounded ⟨_, ha⟩ in
have hP0 : 0 < P, from lt_of_le_of_lt (abs_nonneg _) (hP 0),
have hPε0 : 0 < ε / (2 * P),
from div_pos ε0 (mul_pos (show (2 : α) > 0, from by norm_num) hP0),
let ⟨N, hN⟩ := cau_seq.cauchy₂ ⟨_, hb⟩ hPε0 in
have hQε0 : 0 < ε / (4 * Q),
from div_pos ε0 (mul_pos (show (0 : α) < 4, by norm_num) (lt_of_le_of_lt (abv_nonneg _ _) (hQ 0))),
let ⟨M, hM⟩ := cau_seq.cauchy₂ ⟨_, ha⟩ hQε0 in
⟨2 * (max N M + 1), λ K hK,
have h₁ : (range K).sum (λ m, (range (m + 1)).sum (λ k, a k * b (m - k))) =
(range K).sum (λ m, (range (K - m)).sum (λ n, a m * b n)),
by simpa using sum_range_diag_flip K (λ m n, a m * b n),
have h₂ : (λ i, (range (K - i)).sum (λ k, a i * b k)) = (λ i, a i * (range (K - i)).sum b),
by simp [finset.mul_sum],
have h₃ : (range K).sum (λ i, a i * (range (K - i)).sum b) =
(range K).sum (λ i, a i * ((range (K - i)).sum b - (range K).sum b))
+ (range K).sum (λ i, a i * (range K).sum b),
by rw ← sum_add_distrib; simp [(mul_add _ _ _).symm],
have two_mul_two : (4 : α) = 2 * 2, by norm_num,
have hQ0 : Q ≠ 0, from λ h, by simpa [h, lt_irrefl] using hQε0,
have h2Q0 : 2 * Q ≠ 0, from mul_ne_zero two_ne_zero hQ0,
have hε : ε / (2 * P) * P + ε / (4 * Q) * (2 * Q) = ε,
by rw [← div_div_eq_div_mul, div_mul_cancel _ (ne.symm (ne_of_lt hP0)),
two_mul_two, mul_assoc, ← div_div_eq_div_mul, div_mul_cancel _ h2Q0, add_halves],
have hNMK : max N M + 1 < K,
from lt_of_lt_of_le (by rw two_mul; exact lt_add_of_pos_left _ (nat.succ_pos _)) hK,
have hKN : N < K,
from calc N ≤ max N M : le_max_left _ _
... < max N M + 1 : nat.lt_succ_self _
... < K : hNMK,
have hsumlesum : (range (max N M + 1)).sum (λ i, abv (a i) *
abv ((range (K - i)).sum b - (range K).sum b)) ≤ (range (max N M + 1)).sum
(λ i, abv (a i) * (ε / (2 * P))),
from sum_le_sum (λ m hmJ, mul_le_mul_of_nonneg_left
(le_of_lt (hN (K - m) K
(nat.le_sub_left_of_add_le (le_trans
(by rw two_mul; exact add_le_add (le_of_lt (mem_range.1 hmJ))
(le_trans (le_max_left _ _) (le_of_lt (lt_add_one _)))) hK))
(le_of_lt hKN))) (abv_nonneg abv _)),
have hsumltP : (range (max N M + 1)).sum (λ n, abv (a n)) < P :=
calc (range (max N M + 1)).sum (λ n, abv (a n))
= abs ((range (max N M + 1)).sum (λ n, abv (a n))) :
eq.symm (abs_of_nonneg (sum_nonneg (λ x h, abv_nonneg abv (a x))))
... < P : hP (max N M + 1),
begin
rw [h₁, h₂, h₃, sum_mul, ← sub_sub, sub_right_comm, sub_self, zero_sub, abv_neg abv],
refine lt_of_le_of_lt (abv_sum_le_sum_abv _ _) _,
suffices : (range (max N M + 1)).sum (λ (i : ℕ), abv (a i) * abv ((range (K - i)).sum b - (range K).sum b)) +
((range K).sum (λ (i : ℕ), abv (a i) * abv ((range (K - i)).sum b - (range K).sum b)) -(range (max N M + 1)).sum
(λ (i : ℕ), abv (a i) * abv ((range (K - i)).sum b - (range K).sum b))) < ε / (2 * P) * P + ε / (4 * Q) * (2 * Q),
{ rw hε at this, simpa [abv_mul abv] },
refine add_lt_add (lt_of_le_of_lt hsumlesum
(by rw [← sum_mul, mul_comm]; exact (mul_lt_mul_left hPε0).mpr hsumltP)) _,
rw sum_range_sub_sum_range (le_of_lt hNMK),
exact calc ((range K).filter (λ k, max N M + 1 ≤ k)).sum
(λ i, abv (a i) * abv ((range (K - i)).sum b - (range K).sum b))
≤ ((range K).filter (λ k, max N M + 1 ≤ k)).sum (λ i, abv (a i) * (2 * Q)) :
sum_le_sum (λ n hn, begin
refine mul_le_mul_of_nonneg_left _ (abv_nonneg _ _),
rw sub_eq_add_neg,
refine le_trans (abv_add _ _ _) _,
rw [two_mul, abv_neg abv],
exact add_le_add (le_of_lt (hQ _)) (le_of_lt (hQ _)),
end)
... < ε / (4 * Q) * (2 * Q) :
by rw [← sum_mul, ← sum_range_sub_sum_range (le_of_lt hNMK)];
refine (mul_lt_mul_right $ by rw two_mul;
exact add_pos (lt_of_le_of_lt (abv_nonneg _ _) (hQ 0))
(lt_of_le_of_lt (abv_nonneg _ _) (hQ 0))).2
(lt_of_le_of_lt (le_abs_self _)
(hM _ _ (le_trans (nat.le_succ_of_le (le_max_right _ _)) (le_of_lt hNMK))
(nat.le_succ_of_le (le_max_right _ _))))
end⟩
end
open finset
open cau_seq
namespace complex
lemma is_cau_abs_exp (z : ℂ) : is_cau_seq _root_.abs
(λ n, (range n).sum (λ m, abs (z ^ m / nat.fact m))) :=
let ⟨n, hn⟩ := exists_nat_gt (abs z) in
have hn0 : (0 : ℝ) < n, from lt_of_le_of_lt (abs_nonneg _) hn,
series_ratio_test n (complex.abs z / n) (div_nonneg_of_nonneg_of_pos (complex.abs_nonneg _) hn0)
(by rwa [div_lt_iff hn0, one_mul])
(λ m hm,
by rw [abs_abs, abs_abs, nat.fact_succ, pow_succ,
mul_comm m.succ, nat.cast_mul, ← div_div_eq_div_mul, mul_div_assoc,
mul_div_right_comm, abs_mul, abs_div, abs_cast_nat];
exact mul_le_mul_of_nonneg_right
(div_le_div_of_le_left (abs_nonneg _) hn0
(nat.cast_le.2 (le_trans hm (nat.le_succ _)))) (abs_nonneg _))
noncomputable theory
lemma is_cau_exp (z : ℂ) : is_cau_seq abs (λ n, (range n).sum (λ m, z ^ m / nat.fact m)) :=
is_cau_series_of_abv_cau (is_cau_abs_exp z)
def exp' (z : ℂ) : cau_seq ℂ complex.abs := ⟨λ n, (range n).sum (λ m, z ^ m / nat.fact m), is_cau_exp z⟩
def exp (z : ℂ) : ℂ := lim (exp' z)
def sin (z : ℂ) : ℂ := ((exp (-z * I) - exp (z * I)) * I) / 2
def cos (z : ℂ) : ℂ := (exp (z * I) + exp (-z * I)) / 2
def tan (z : ℂ) : ℂ := sin z / cos z
def sinh (z : ℂ) : ℂ := (exp z - exp (-z)) / 2
def cosh (z : ℂ) : ℂ := (exp z + exp (-z)) / 2
def tanh (z : ℂ) : ℂ := sinh z / cosh z
end complex
namespace real
open complex
def exp (x : ℝ) : ℝ := (exp x).re
def sin (x : ℝ) : ℝ := (sin x).re
def cos (x : ℝ) : ℝ := (cos x).re
def tan (x : ℝ) : ℝ := (tan x).re
def sinh (x : ℝ) : ℝ := (sinh x).re
def cosh (x : ℝ) : ℝ := (cosh x).re
def tanh (x : ℝ) : ℝ := (tanh x).re
end real
namespace complex
variables (x y : ℂ)
@[simp] lemma exp_zero : exp 0 = 1 :=
lim_eq_of_equiv_const $
λ ε ε0, ⟨1, λ j hj, begin
convert ε0,
cases j,
{ exact absurd hj (not_le_of_gt zero_lt_one) },
{ dsimp [exp'],
induction j with j ih,
{ dsimp [exp']; simp },
{ rw ← ih dec_trivial,
simp only [sum_range_succ, pow_succ],
simp } }
end⟩
lemma exp_add : exp (x + y) = exp x * exp y :=
show lim (⟨_, is_cau_exp (x + y)⟩ : cau_seq ℂ abs) =
lim (show cau_seq ℂ abs, from ⟨_, is_cau_exp x⟩)
* lim (show cau_seq ℂ abs, from ⟨_, is_cau_exp y⟩),
from
have hj : ∀ j : ℕ, (range j).sum
(λ m, (x + y) ^ m / m.fact) = (range j).sum
(λ i, (range (i + 1)).sum (λ k, x ^ k / k.fact *
(y ^ (i - k) / (i - k).fact))),
from assume j,
finset.sum_congr rfl (λ m hm, begin
rw [add_pow, div_eq_mul_inv, sum_mul],
refine finset.sum_congr rfl (λ i hi, _),
have h₁ : (nat.choose m i : ℂ) ≠ 0 := nat.cast_ne_zero.2
(nat.pos_iff_ne_zero.1 (nat.choose_pos (nat.le_of_lt_succ (mem_range.1 hi)))),
have h₂ := nat.choose_mul_fact_mul_fact (nat.le_of_lt_succ $ finset.mem_range.1 hi),
rw [← h₂, nat.cast_mul, nat.cast_mul, mul_inv', mul_inv'],
simp only [mul_left_comm (nat.choose m i : ℂ), mul_assoc, mul_left_comm (nat.choose m i : ℂ)⁻¹,
mul_comm (nat.choose m i : ℂ)],
rw inv_mul_cancel h₁,
simp [div_eq_mul_inv, mul_comm, mul_assoc, mul_left_comm]
end),
by rw lim_mul_lim;
exact eq.symm (lim_eq_lim_of_equiv (by dsimp; simp only [hj];
exact cauchy_product (is_cau_abs_exp x) (is_cau_exp y)))
attribute [irreducible] complex.exp
lemma exp_list_sum (l : list ℂ) : exp l.sum = (l.map exp).prod :=
@monoid_hom.map_list_prod (multiplicative ℂ) ℂ _ _ ⟨exp, exp_zero, exp_add⟩ l
lemma exp_multiset_sum (s : multiset ℂ) : exp s.sum = (s.map exp).prod :=
@monoid_hom.map_multiset_prod (multiplicative ℂ) ℂ _ _ ⟨exp, exp_zero, exp_add⟩ s
lemma exp_sum {α : Type*} (s : finset α) (f : α → ℂ) : exp (s.sum f) = s.prod (exp ∘ f) :=
@monoid_hom.map_prod α (multiplicative ℂ) ℂ _ _ ⟨exp, exp_zero, exp_add⟩ f s
lemma exp_nat_mul (x : ℂ) : ∀ n : ℕ, exp(n*x) = (exp x)^n
| 0 := by rw [nat.cast_zero, zero_mul, exp_zero, pow_zero]
| (nat.succ n) := by rw [pow_succ', nat.cast_add_one, add_mul, exp_add, ←exp_nat_mul, one_mul]
lemma exp_ne_zero : exp x ≠ 0 :=
λ h, @zero_ne_one ℂ _ $
by rw [← exp_zero, ← add_neg_self x, exp_add, h]; simp
lemma exp_neg : exp (-x) = (exp x)⁻¹ :=
by rw [← domain.mul_right_inj (exp_ne_zero x), ← exp_add];
simp [mul_inv_cancel (exp_ne_zero x)]
lemma exp_sub : exp (x - y) = exp x / exp y :=
by simp [sub_eq_add_neg, exp_add, exp_neg, div_eq_mul_inv]
@[simp] lemma exp_conj : exp (conj x) = conj (exp x) :=
begin
dsimp [exp],
rw [← lim_conj],
refine congr_arg lim (cau_seq.ext (λ _, _)),
dsimp [exp', function.comp, cau_seq_conj],
rw ← sum_hom _ conj,
refine sum_congr rfl (λ n hn, _),
rw [conj_div, conj_pow, ← of_real_nat_cast, conj_of_real]
end
@[simp] lemma of_real_exp_of_real_re (x : ℝ) : ((exp x).re : ℂ) = exp x :=
eq_conj_iff_re.1 $ by rw [← exp_conj, conj_of_real]
@[simp] lemma of_real_exp (x : ℝ) : (real.exp x : ℂ) = exp x :=
of_real_exp_of_real_re _
@[simp] lemma exp_of_real_im (x : ℝ) : (exp x).im = 0 :=
by rw [← of_real_exp_of_real_re, of_real_im]
lemma exp_of_real_re (x : ℝ) : (exp x).re = real.exp x := rfl
lemma two_sinh : 2 * sinh x = exp x - exp (-x) :=
mul_div_cancel' _ two_ne_zero'
lemma two_cosh : 2 * cosh x = exp x + exp (-x) :=
mul_div_cancel' _ two_ne_zero'
@[simp] lemma sinh_zero : sinh 0 = 0 := by simp [sinh]
@[simp] lemma sinh_neg : sinh (-x) = -sinh x :=
by simp [sinh, exp_neg, (neg_div _ _).symm, add_mul]
private lemma sinh_add_aux {a b c d : ℂ} :
(a - b) * (c + d) + (a + b) * (c - d) = 2 * (a * c - b * d) := by ring
lemma sinh_add : sinh (x + y) = sinh x * cosh y + cosh x * sinh y :=
begin
rw [← domain.mul_right_inj (@two_ne_zero' ℂ _ _ _), two_sinh,
exp_add, neg_add, exp_add, eq_comm,
mul_add, ← mul_assoc, two_sinh, mul_left_comm, two_sinh,
← domain.mul_right_inj (@two_ne_zero' ℂ _ _ _), mul_add,
mul_left_comm, two_cosh, ← mul_assoc, two_cosh],
exact sinh_add_aux
end
@[simp] lemma cosh_zero : cosh 0 = 1 := by simp [cosh]
@[simp] lemma cosh_neg : cosh (-x) = cosh x :=
by simp [add_comm, cosh, exp_neg]
private lemma cosh_add_aux {a b c d : ℂ} :
(a + b) * (c + d) + (a - b) * (c - d) = 2 * (a * c + b * d) := by ring
lemma cosh_add : cosh (x + y) = cosh x * cosh y + sinh x * sinh y :=
begin
rw [← domain.mul_right_inj (@two_ne_zero' ℂ _ _ _), two_cosh,
exp_add, neg_add, exp_add, eq_comm,
mul_add, ← mul_assoc, two_cosh, ← mul_assoc, two_sinh,
← domain.mul_right_inj (@two_ne_zero' ℂ _ _ _), mul_add,
mul_left_comm, two_cosh, mul_left_comm, two_sinh],
exact cosh_add_aux
end
lemma sinh_sub : sinh (x - y) = sinh x * cosh y - cosh x * sinh y :=
by simp [sub_eq_add_neg, sinh_add, sinh_neg, cosh_neg]
lemma cosh_sub : cosh (x - y) = cosh x * cosh y - sinh x * sinh y :=
by simp [sub_eq_add_neg, cosh_add, sinh_neg, cosh_neg]
lemma sinh_conj : sinh (conj x) = conj (sinh x) :=
by rw [sinh, ← conj_neg, exp_conj, exp_conj, ← conj_sub, sinh, conj_div, conj_two]
@[simp] lemma of_real_sinh_of_real_re (x : ℝ) : ((sinh x).re : ℂ) = sinh x :=
eq_conj_iff_re.1 $ by rw [← sinh_conj, conj_of_real]
@[simp] lemma of_real_sinh (x : ℝ) : (real.sinh x : ℂ) = sinh x :=
of_real_sinh_of_real_re _
@[simp] lemma sinh_of_real_im (x : ℝ) : (sinh x).im = 0 :=
by rw [← of_real_sinh_of_real_re, of_real_im]
lemma sinh_of_real_re (x : ℝ) : (sinh x).re = real.sinh x := rfl
lemma cosh_conj : cosh (conj x) = conj (cosh x) :=
by rw [cosh, ← conj_neg, exp_conj, exp_conj, ← conj_add, cosh, conj_div, conj_two]
@[simp] lemma of_real_cosh_of_real_re (x : ℝ) : ((cosh x).re : ℂ) = cosh x :=
eq_conj_iff_re.1 $ by rw [← cosh_conj, conj_of_real]
@[simp] lemma of_real_cosh (x : ℝ) : (real.cosh x : ℂ) = cosh x :=
of_real_cosh_of_real_re _
@[simp] lemma cosh_of_real_im (x : ℝ) : (cosh x).im = 0 :=
by rw [← of_real_cosh_of_real_re, of_real_im]
lemma cosh_of_real_re (x : ℝ) : (cosh x).re = real.cosh x := rfl
lemma tanh_eq_sinh_div_cosh : tanh x = sinh x / cosh x := rfl
@[simp] lemma tanh_zero : tanh 0 = 0 := by simp [tanh]
@[simp] lemma tanh_neg : tanh (-x) = -tanh x := by simp [tanh, neg_div]
lemma tanh_conj : tanh (conj x) = conj (tanh x) :=
by rw [tanh, sinh_conj, cosh_conj, ← conj_div, tanh]
@[simp] lemma of_real_tanh_of_real_re (x : ℝ) : ((tanh x).re : ℂ) = tanh x :=
eq_conj_iff_re.1 $ by rw [← tanh_conj, conj_of_real]
@[simp] lemma of_real_tanh (x : ℝ) : (real.tanh x : ℂ) = tanh x :=
of_real_tanh_of_real_re _
@[simp] lemma tanh_of_real_im (x : ℝ) : (tanh x).im = 0 :=
by rw [← of_real_tanh_of_real_re, of_real_im]
lemma tanh_of_real_re (x : ℝ) : (tanh x).re = real.tanh x := rfl
lemma cosh_add_sinh : cosh x + sinh x = exp x :=
by rw [← domain.mul_right_inj (@two_ne_zero' ℂ _ _ _), mul_add,
two_cosh, two_sinh, add_add_sub_cancel, two_mul]
lemma sinh_add_cosh : sinh x + cosh x = exp x :=
by rw [add_comm, cosh_add_sinh]
lemma cosh_sub_sinh : cosh x - sinh x = exp (-x) :=
by rw [← domain.mul_right_inj (@two_ne_zero' ℂ _ _ _), mul_sub,
two_cosh, two_sinh, add_sub_sub_cancel, two_mul]
lemma cosh_sq_sub_sinh_sq : cosh x ^ 2 - sinh x ^ 2 = 1 :=
by rw [sq_sub_sq, cosh_add_sinh, cosh_sub_sinh, ← exp_add, add_neg_self, exp_zero]
@[simp] lemma sin_zero : sin 0 = 0 := by simp [sin]
@[simp] lemma sin_neg : sin (-x) = -sin x :=
by simp [sin, sub_eq_add_neg, exp_neg, (neg_div _ _).symm, add_mul]
lemma two_sin : 2 * sin x = (exp (-x * I) - exp (x * I)) * I :=
mul_div_cancel' _ two_ne_zero'
lemma two_cos : 2 * cos x = exp (x * I) + exp (-x * I) :=
mul_div_cancel' _ two_ne_zero'
lemma sinh_mul_I : sinh (x * I) = sin x * I :=
by rw [← domain.mul_right_inj (@two_ne_zero' ℂ _ _ _), two_sinh,
← mul_assoc, two_sin, mul_assoc, I_mul_I, mul_neg_one,
neg_sub, neg_mul_eq_neg_mul]
lemma cosh_mul_I : cosh (x * I) = cos x :=
by rw [← domain.mul_right_inj (@two_ne_zero' ℂ _ _ _), two_cosh,
two_cos, neg_mul_eq_neg_mul]
lemma sin_add : sin (x + y) = sin x * cos y + cos x * sin y :=
by rw [← domain.mul_left_inj I_ne_zero, ← sinh_mul_I,
add_mul, add_mul, mul_right_comm, ← sinh_mul_I,
mul_assoc, ← sinh_mul_I, ← cosh_mul_I, ← cosh_mul_I, sinh_add]
@[simp] lemma cos_zero : cos 0 = 1 := by simp [cos]
@[simp] lemma cos_neg : cos (-x) = cos x :=
by simp [cos, sub_eq_add_neg, exp_neg, add_comm]
private lemma cos_add_aux {a b c d : ℂ} :
(a + b) * (c + d) - (b - a) * (d - c) * (-1) =
2 * (a * c + b * d) := by ring
lemma cos_add : cos (x + y) = cos x * cos y - sin x * sin y :=
by rw [← cosh_mul_I, add_mul, cosh_add, cosh_mul_I, cosh_mul_I,
sinh_mul_I, sinh_mul_I, mul_mul_mul_comm, I_mul_I,
mul_neg_one, sub_eq_add_neg]
lemma sin_sub : sin (x - y) = sin x * cos y - cos x * sin y :=
by simp [sub_eq_add_neg, sin_add, sin_neg, cos_neg]
lemma cos_sub : cos (x - y) = cos x * cos y + sin x * sin y :=
by simp [sub_eq_add_neg, cos_add, sin_neg, cos_neg]
lemma sin_conj : sin (conj x) = conj (sin x) :=
by rw [← domain.mul_left_inj I_ne_zero, ← sinh_mul_I,
← conj_neg_I, ← conj_mul, ← conj_mul, sinh_conj,
mul_neg_eq_neg_mul_symm, sinh_neg, sinh_mul_I, mul_neg_eq_neg_mul_symm]
@[simp] lemma of_real_sin_of_real_re (x : ℝ) : ((sin x).re : ℂ) = sin x :=
eq_conj_iff_re.1 $ by rw [← sin_conj, conj_of_real]
@[simp] lemma of_real_sin (x : ℝ) : (real.sin x : ℂ) = sin x :=
of_real_sin_of_real_re _
@[simp] lemma sin_of_real_im (x : ℝ) : (sin x).im = 0 :=
by rw [← of_real_sin_of_real_re, of_real_im]
lemma sin_of_real_re (x : ℝ) : (sin x).re = real.sin x := rfl
lemma cos_conj : cos (conj x) = conj (cos x) :=
by rw [← cosh_mul_I, ← conj_neg_I, ← conj_mul, ← cosh_mul_I,
cosh_conj, mul_neg_eq_neg_mul_symm, cosh_neg]
@[simp] lemma of_real_cos_of_real_re (x : ℝ) : ((cos x).re : ℂ) = cos x :=
eq_conj_iff_re.1 $ by rw [← cos_conj, conj_of_real]
@[simp] lemma of_real_cos (x : ℝ) : (real.cos x : ℂ) = cos x :=
of_real_cos_of_real_re _
@[simp] lemma cos_of_real_im (x : ℝ) : (cos x).im = 0 :=
by rw [← of_real_cos_of_real_re, of_real_im]
lemma cos_of_real_re (x : ℝ) : (cos x).re = real.cos x := rfl
@[simp] lemma tan_zero : tan 0 = 0 := by simp [tan]
lemma tan_eq_sin_div_cos : tan x = sin x / cos x := rfl
@[simp] lemma tan_neg : tan (-x) = -tan x := by simp [tan, neg_div]
lemma tan_conj : tan (conj x) = conj (tan x) :=
by rw [tan, sin_conj, cos_conj, ← conj_div, tan]
@[simp] lemma of_real_tan_of_real_re (x : ℝ) : ((tan x).re : ℂ) = tan x :=
eq_conj_iff_re.1 $ by rw [← tan_conj, conj_of_real]
@[simp] lemma of_real_tan (x : ℝ) : (real.tan x : ℂ) = tan x :=
of_real_tan_of_real_re _
@[simp] lemma tan_of_real_im (x : ℝ) : (tan x).im = 0 :=
by rw [← of_real_tan_of_real_re, of_real_im]
lemma tan_of_real_re (x : ℝ) : (tan x).re = real.tan x := rfl
lemma cos_add_sin_I : cos x + sin x * I = exp (x * I) :=
by rw [← cosh_add_sinh, sinh_mul_I, cosh_mul_I]
lemma cos_sub_sin_I : cos x - sin x * I = exp (-x * I) :=
by rw [← neg_mul_eq_neg_mul, ← cosh_sub_sinh, sinh_mul_I, cosh_mul_I]
lemma sin_sq_add_cos_sq : sin x ^ 2 + cos x ^ 2 = 1 :=
eq.trans
(by rw [cosh_mul_I, sinh_mul_I, mul_pow, I_sq, mul_neg_one, sub_neg_eq_add, add_comm])
(cosh_sq_sub_sinh_sq (x * I))
lemma cos_two_mul' : cos (2 * x) = cos x ^ 2 - sin x ^ 2 :=
by rw [two_mul, cos_add, ← pow_two, ← pow_two]
lemma cos_two_mul : cos (2 * x) = 2 * cos x ^ 2 - 1 :=
by rw [cos_two_mul', eq_sub_iff_add_eq.2 (sin_sq_add_cos_sq x),
← sub_add, sub_add_eq_add_sub, two_mul]
lemma sin_two_mul : sin (2 * x) = 2 * sin x * cos x :=
by rw [two_mul, sin_add, two_mul, add_mul, mul_comm]
lemma cos_square : cos x ^ 2 = 1 / 2 + cos (2 * x) / 2 :=
by simp [cos_two_mul, div_add_div_same, mul_div_cancel_left, two_ne_zero', -one_div_eq_inv]
lemma sin_square : sin x ^ 2 = 1 - cos x ^ 2 :=
by { rw [←sin_sq_add_cos_sq x], simp }
lemma exp_mul_I : exp (x * I) = cos x + sin x * I :=
(cos_add_sin_I _).symm
lemma exp_add_mul_I : exp (x + y * I) = exp x * (cos y + sin y * I) :=
by rw [exp_add, exp_mul_I]
lemma exp_eq_exp_re_mul_sin_add_cos : exp x = exp x.re * (cos x.im + sin x.im * I) :=
by rw [← exp_add_mul_I, re_add_im]
theorem cos_add_sin_mul_I_pow (n : ℕ) (z : ℂ) : (cos z + sin z * I) ^ n = cos (↑n * z) + sin (↑n * z) * I :=
begin
rw [← exp_mul_I, ← exp_mul_I],
induction n with n ih,
{ rw [pow_zero, nat.cast_zero, zero_mul, zero_mul, exp_zero] },
{ rw [pow_succ', ih, nat.cast_succ, add_mul, add_mul, one_mul, exp_add] }
end
end complex
namespace real
open complex
variables (x y : ℝ)
@[simp] lemma exp_zero : exp 0 = 1 :=
by simp [real.exp]
lemma exp_add : exp (x + y) = exp x * exp y :=
by simp [exp_add, exp]
lemma exp_list_sum (l : list ℝ) : exp l.sum = (l.map exp).prod :=
@monoid_hom.map_list_prod (multiplicative ℝ) ℝ _ _ ⟨exp, exp_zero, exp_add⟩ l
lemma exp_multiset_sum (s : multiset ℝ) : exp s.sum = (s.map exp).prod :=
@monoid_hom.map_multiset_prod (multiplicative ℝ) ℝ _ _ ⟨exp, exp_zero, exp_add⟩ s
lemma exp_sum {α : Type*} (s : finset α) (f : α → ℝ) : exp (s.sum f) = s.prod (exp ∘ f) :=
@monoid_hom.map_prod α (multiplicative ℝ) ℝ _ _ ⟨exp, exp_zero, exp_add⟩ f s
lemma exp_nat_mul (x : ℝ) : ∀ n : ℕ, exp(n*x) = (exp x)^n
| 0 := by rw [nat.cast_zero, zero_mul, exp_zero, pow_zero]
| (nat.succ n) := by rw [pow_succ', nat.cast_add_one, add_mul, exp_add, ←exp_nat_mul, one_mul]
lemma exp_ne_zero : exp x ≠ 0 :=
λ h, exp_ne_zero x $ by rw [exp, ← of_real_inj] at h; simp * at *
lemma exp_neg : exp (-x) = (exp x)⁻¹ :=
by rw [← of_real_inj, exp, of_real_exp_of_real_re, of_real_neg, exp_neg,
of_real_inv, of_real_exp]
lemma exp_sub : exp (x - y) = exp x / exp y :=
by simp [sub_eq_add_neg, exp_add, exp_neg, div_eq_mul_inv]
@[simp] lemma sin_zero : sin 0 = 0 := by simp [sin]
@[simp] lemma sin_neg : sin (-x) = -sin x :=
by simp [sin, exp_neg, (neg_div _ _).symm, add_mul]
lemma sin_add : sin (x + y) = sin x * cos y + cos x * sin y :=
by rw [← of_real_inj]; simp [sin, sin_add]
@[simp] lemma cos_zero : cos 0 = 1 := by simp [cos]
@[simp] lemma cos_neg : cos (-x) = cos x :=
by simp [cos, exp_neg]
lemma cos_add : cos (x + y) = cos x * cos y - sin x * sin y :=
by rw ← of_real_inj; simp [cos, cos_add]
lemma sin_sub : sin (x - y) = sin x * cos y - cos x * sin y :=
by simp [sub_eq_add_neg, sin_add, sin_neg, cos_neg]
lemma cos_sub : cos (x - y) = cos x * cos y + sin x * sin y :=
by simp [sub_eq_add_neg, cos_add, sin_neg, cos_neg]
lemma tan_eq_sin_div_cos : tan x = sin x / cos x :=
if h : complex.cos x = 0 then by simp [sin, cos, tan, *, complex.tan, div_eq_mul_inv] at *
else
by rw [sin, cos, tan, complex.tan, ← of_real_inj, div_eq_mul_inv, mul_re];
simp [norm_sq, (div_div_eq_div_mul _ _ _).symm, div_self h]; refl
@[simp] lemma tan_zero : tan 0 = 0 := by simp [tan]
@[simp] lemma tan_neg : tan (-x) = -tan x := by simp [tan, neg_div]
lemma sin_sq_add_cos_sq : sin x ^ 2 + cos x ^ 2 = 1 :=
of_real_inj.1 $ by simpa using sin_sq_add_cos_sq x
lemma sin_sq_le_one : sin x ^ 2 ≤ 1 :=
by rw ← sin_sq_add_cos_sq x; exact le_add_of_nonneg_right' (pow_two_nonneg _)
lemma cos_sq_le_one : cos x ^ 2 ≤ 1 :=
by rw ← sin_sq_add_cos_sq x; exact le_add_of_nonneg_left' (pow_two_nonneg _)
lemma abs_sin_le_one : abs' (sin x) ≤ 1 :=
(mul_self_le_mul_self_iff (_root_.abs_nonneg (sin x)) (by exact zero_le_one)).2 $
by rw [← _root_.abs_mul, abs_mul_self, mul_one, ← pow_two];
apply sin_sq_le_one
lemma abs_cos_le_one : abs' (cos x) ≤ 1 :=
(mul_self_le_mul_self_iff (_root_.abs_nonneg (cos x)) (by exact zero_le_one)).2 $
by rw [← _root_.abs_mul, abs_mul_self, mul_one, ← pow_two];
apply cos_sq_le_one
lemma sin_le_one : sin x ≤ 1 :=
(abs_le.1 (abs_sin_le_one _)).2
lemma cos_le_one : cos x ≤ 1 :=
(abs_le.1 (abs_cos_le_one _)).2
lemma neg_one_le_sin : -1 ≤ sin x :=
(abs_le.1 (abs_sin_le_one _)).1
lemma neg_one_le_cos : -1 ≤ cos x :=
(abs_le.1 (abs_cos_le_one _)).1
lemma cos_two_mul : cos (2 * x) = 2 * cos x ^ 2 - 1 :=
by rw ← of_real_inj; simp [cos_two_mul]
lemma sin_two_mul : sin (2 * x) = 2 * sin x * cos x :=
by rw ← of_real_inj; simp [sin_two_mul]
lemma cos_square : cos x ^ 2 = 1 / 2 + cos (2 * x) / 2 :=
of_real_inj.1 $ by simpa using cos_square x
lemma sin_square : sin x ^ 2 = 1 - cos x ^ 2 :=
eq_sub_iff_add_eq.2 $ sin_sq_add_cos_sq _
@[simp] lemma sinh_zero : sinh 0 = 0 := by simp [sinh]
@[simp] lemma sinh_neg : sinh (-x) = -sinh x :=
by simp [sinh, exp_neg, (neg_div _ _).symm, add_mul]
lemma sinh_add : sinh (x + y) = sinh x * cosh y + cosh x * sinh y :=
by rw ← of_real_inj; simp [sinh_add]
@[simp] lemma cosh_zero : cosh 0 = 1 := by simp [cosh]
@[simp] lemma cosh_neg : cosh (-x) = cosh x :=
by simp [cosh, exp_neg]
lemma cosh_add : cosh (x + y) = cosh x * cosh y + sinh x * sinh y :=
by rw ← of_real_inj; simp [cosh, cosh_add]
lemma sinh_sub : sinh (x - y) = sinh x * cosh y - cosh x * sinh y :=
by simp [sub_eq_add_neg, sinh_add, sinh_neg, cosh_neg]
lemma cosh_sub : cosh (x - y) = cosh x * cosh y - sinh x * sinh y :=
by simp [sub_eq_add_neg, cosh_add, sinh_neg, cosh_neg]
lemma tanh_eq_sinh_div_cosh : tanh x = sinh x / cosh x :=
of_real_inj.1 $ by simp [tanh_eq_sinh_div_cosh]
@[simp] lemma tanh_zero : tanh 0 = 0 := by simp [tanh]
@[simp] lemma tanh_neg : tanh (-x) = -tanh x := by simp [tanh, neg_div]
open is_absolute_value
/- TODO make this private and prove ∀ x -/
lemma add_one_le_exp_of_nonneg {x : ℝ} (hx : 0 ≤ x) : x + 1 ≤ exp x :=
calc x + 1 ≤ lim (⟨(λ n : ℕ, ((exp' x) n).re), is_cau_seq_re (exp' x)⟩ : cau_seq ℝ abs') :
le_lim (cau_seq.le_of_exists ⟨2,
λ j hj, show x + (1 : ℝ) ≤ ((range j).sum (λ m, (x ^ m / m.fact : ℂ))).re,
from have h₁ : (((λ m : ℕ, (x ^ m / m.fact : ℂ)) ∘ nat.succ) 0).re = x, by simp,
have h₂ : ((x : ℂ) ^ 0 / nat.fact 0).re = 1, by simp,
begin
rw [← nat.sub_add_cancel hj, sum_range_succ', sum_range_succ',
add_re, add_re, h₁, h₂, add_assoc,
← @sum_hom _ _ _ _ _ _ _ complex.re
(is_add_group_hom.to_is_add_monoid_hom _)],
refine le_add_of_nonneg_of_le (sum_nonneg (λ m hm, _)) (le_refl _),
rw [← of_real_pow, ← of_real_nat_cast, ← of_real_div, of_real_re],
exact div_nonneg (pow_nonneg hx _) (nat.cast_pos.2 (nat.fact_pos _)),
end⟩)
... = exp x : by rw [exp, complex.exp, ← cau_seq_re, lim_re]
lemma one_le_exp {x : ℝ} (hx : 0 ≤ x) : 1 ≤ exp x :=
by linarith [add_one_le_exp_of_nonneg hx]
lemma exp_pos (x : ℝ) : 0 < exp x :=
(le_total 0 x).elim (lt_of_lt_of_le zero_lt_one ∘ one_le_exp)
(λ h, by rw [← neg_neg x, real.exp_neg];
exact inv_pos.2 (lt_of_lt_of_le zero_lt_one (one_le_exp (neg_nonneg.2 h))))
@[simp] lemma abs_exp (x : ℝ) : abs' (exp x) = exp x :=
abs_of_pos (exp_pos _)
lemma exp_strict_mono : strict_mono exp :=
λ x y h, by rw [← sub_add_cancel y x, real.exp_add];
exact (lt_mul_iff_one_lt_left (exp_pos _)).2
(lt_of_lt_of_le (by linarith) (add_one_le_exp_of_nonneg (by linarith)))
lemma exp_lt_exp {x y : ℝ} : exp x < exp y ↔ x < y := exp_strict_mono.lt_iff_lt
lemma exp_le_exp {x y : ℝ} : exp x ≤ exp y ↔ x ≤ y := exp_strict_mono.le_iff_le
lemma exp_injective : function.injective exp := exp_strict_mono.injective
@[simp] lemma exp_eq_one_iff : exp x = 1 ↔ x = 0 :=
by rw [← exp_zero, exp_injective.eq_iff]
lemma one_lt_exp_iff {x : ℝ} : 1 < exp x ↔ 0 < x :=
by rw [← exp_zero, exp_lt_exp]
lemma exp_lt_one_iff {x : ℝ} : exp x < 1 ↔ x < 0 :=
by rw [← exp_zero, exp_lt_exp]
end real
namespace complex
lemma sum_div_fact_le {α : Type*} [discrete_linear_ordered_field α] (n j : ℕ) (hn : 0 < n) :
(filter (λ k, n ≤ k) (range j)).sum (λ m : ℕ, (1 / m.fact : α)) ≤ n.succ * (n.fact * n)⁻¹ :=
calc (filter (λ k, n ≤ k) (range j)).sum (λ m : ℕ, (1 / m.fact : α))
= (range (j - n)).sum (λ m, 1 / (m + n).fact) :
sum_bij (λ m _, m - n)
(λ m hm, mem_range.2 $ (nat.sub_lt_sub_right_iff (by simp at hm; tauto)).2
(by simp at hm; tauto))
(λ m hm, by rw nat.sub_add_cancel; simp at *; tauto)
(λ a₁ a₂ ha₁ ha₂ h,
by rwa [nat.sub_eq_iff_eq_add, ← nat.sub_add_comm, eq_comm, nat.sub_eq_iff_eq_add, add_left_inj, eq_comm] at h;
simp at *; tauto)
(λ b hb, ⟨b + n, mem_filter.2 ⟨mem_range.2 $ nat.add_lt_of_lt_sub_right (mem_range.1 hb), nat.le_add_left _ _⟩,
by rw nat.add_sub_cancel⟩)
... ≤ (range (j - n)).sum (λ m, (nat.fact n * n.succ ^ m)⁻¹) :
begin
refine sum_le_sum (assume m n, _),
rw [one_div_eq_inv, inv_le_inv],
{ rw [← nat.cast_pow, ← nat.cast_mul, nat.cast_le, add_comm],
exact nat.fact_mul_pow_le_fact },
{ exact nat.cast_pos.2 (nat.fact_pos _) },
{ exact mul_pos (nat.cast_pos.2 (nat.fact_pos _)) (pow_pos (nat.cast_pos.2 (nat.succ_pos _)) _) },
end
... = (nat.fact n)⁻¹ * (range (j - n)).sum (λ m, n.succ⁻¹ ^ m) :
by simp [mul_inv', mul_sum.symm, sum_mul.symm, -nat.fact_succ, mul_comm, inv_pow']
... = (n.succ - n.succ * n.succ⁻¹ ^ (j - n)) / (n.fact * n) :
have h₁ : (n.succ : α) ≠ 1, from @nat.cast_one α _ _ ▸ mt nat.cast_inj.1
(mt nat.succ_inj (nat.pos_iff_ne_zero.1 hn)),
have h₂ : (n.succ : α) ≠ 0, from nat.cast_ne_zero.2 (nat.succ_ne_zero _),
have h₃ : (n.fact * n : α) ≠ 0, from mul_ne_zero (nat.cast_ne_zero.2 (nat.pos_iff_ne_zero.1 (nat.fact_pos _)))
(nat.cast_ne_zero.2 (nat.pos_iff_ne_zero.1 hn)),
have h₄ : (n.succ - 1 : α) = n, by simp,
by rw [← geom_series_def, geom_sum_inv h₁ h₂, eq_div_iff_mul_eq _ _ h₃, mul_comm _ (n.fact * n : α),
← mul_assoc (n.fact⁻¹ : α), ← mul_inv', h₄, ← mul_assoc (n.fact * n : α),
mul_comm (n : α) n.fact, mul_inv_cancel h₃];
simp [mul_add, add_mul, mul_assoc, mul_comm]
... ≤ n.succ / (n.fact * n) :
begin
refine (div_le_div_right (mul_pos _ _)).2 _,
exact nat.cast_pos.2 (nat.fact_pos _),
exact nat.cast_pos.2 hn,
exact sub_le_self _ (mul_nonneg (nat.cast_nonneg _) (pow_nonneg (inv_nonneg.2 (nat.cast_nonneg _)) _))
end
lemma exp_bound {x : ℂ} (hx : abs x ≤ 1) {n : ℕ} (hn : 0 < n) :
abs (exp x - (range n).sum (λ m, x ^ m / m.fact)) ≤ abs x ^ n * (n.succ * (n.fact * n)⁻¹) :=
begin
rw [← lim_const ((range n).sum _), exp, sub_eq_add_neg, ← lim_neg, lim_add, ← lim_abs],
refine lim_le (cau_seq.le_of_exists ⟨n, λ j hj, _⟩),
show abs ((range j).sum (λ m, x ^ m / m.fact) - (range n).sum (λ m, x ^ m / m.fact))
≤ abs x ^ n * (n.succ * (n.fact * n)⁻¹),
rw sum_range_sub_sum_range hj,
exact calc abs (((range j).filter (λ k, n ≤ k)).sum (λ m : ℕ, (x ^ m / m.fact : ℂ)))
= abs (((range j).filter (λ k, n ≤ k)).sum (λ m : ℕ, (x ^ n * (x ^ (m - n) / m.fact) : ℂ))) :
congr_arg abs (sum_congr rfl (λ m hm, by rw [← mul_div_assoc, ← pow_add, nat.add_sub_cancel']; simp at hm; tauto))
... ≤ (filter (λ k, n ≤ k) (range j)).sum (λ m, abs (x ^ n * (_ / m.fact))) : abv_sum_le_sum_abv _ _
... ≤ (filter (λ k, n ≤ k) (range j)).sum (λ m, abs x ^ n * (1 / m.fact)) :
begin
refine sum_le_sum (λ m hm, _),
rw [abs_mul, abv_pow abs, abs_div, abs_cast_nat],
refine mul_le_mul_of_nonneg_left ((div_le_div_right _).2 _) _,
exact nat.cast_pos.2 (nat.fact_pos _),
rw abv_pow abs,
exact (pow_le_one _ (abs_nonneg _) hx),
exact pow_nonneg (abs_nonneg _) _
end
... = abs x ^ n * (((range j).filter (λ k, n ≤ k)).sum (λ m : ℕ, (1 / m.fact : ℝ))) :
by simp [abs_mul, abv_pow abs, abs_div, mul_sum.symm]
... ≤ abs x ^ n * (n.succ * (n.fact * n)⁻¹) :
mul_le_mul_of_nonneg_left (sum_div_fact_le _ _ hn) (pow_nonneg (abs_nonneg _) _)
end
lemma abs_exp_sub_one_le {x : ℂ} (hx : abs x ≤ 1) :
abs (exp x - 1) ≤ 2 * abs x :=
calc abs (exp x - 1) = abs (exp x - (range 1).sum (λ m, x ^ m / m.fact)) :
by simp [sum_range_succ]
... ≤ abs x ^ 1 * ((nat.succ 1) * (nat.fact 1 * (1 : ℕ))⁻¹) :
exp_bound hx dec_trivial
... = 2 * abs x : by simp [two_mul, mul_two, mul_add, mul_comm]
lemma abs_exp_sub_one_sub_id_le {x : ℂ} (hx : abs x ≤ 1) :
abs (exp x - 1 - x) ≤ (abs x)^2 :=
calc abs (exp x - 1 - x) = abs (exp x - (range 2).sum (λ m, x ^ m / m.fact)) :
by simp [sub_eq_add_neg, sum_range_succ]
... ≤ (abs x)^2 * (nat.succ 2 * (nat.fact 2 * (2 : ℕ))⁻¹) :
exp_bound hx dec_trivial
... ≤ (abs x)^2 * 1 :
mul_le_mul_of_nonneg_left (by norm_num) (pow_two_nonneg (abs x))
... = (abs x)^2 :
by rw [mul_one]
end complex
namespace real
open complex finset
lemma cos_bound {x : ℝ} (hx : abs' x ≤ 1) : abs' (cos x - (1 - x ^ 2 / 2)) ≤ abs' x ^ 4 * (5 / 96) :=
calc abs' (cos x - (1 - x ^ 2 / 2)) = abs (complex.cos x - (1 - x ^ 2 / 2)) :
by rw ← abs_of_real; simp [of_real_bit0, of_real_one, of_real_inv]
... = abs ((complex.exp (x * I) + complex.exp (-x * I) - (2 - x ^ 2)) / 2) :
by simp [complex.cos, sub_div, add_div, neg_div, div_self (@two_ne_zero' ℂ _ _ _)]
... = abs (((complex.exp (x * I) - (range 4).sum (λ m, (x * I) ^ m / m.fact)) +
((complex.exp (-x * I) - (range 4).sum (λ m, (-x * I) ^ m / m.fact)))) / 2) :
congr_arg abs (congr_arg (λ x : ℂ, x / 2) begin
simp only [sum_range_succ],
simp [pow_succ],
apply complex.ext; simp [div_eq_mul_inv, norm_sq]; ring
end)
... ≤ abs ((complex.exp (x * I) - (range 4).sum (λ m, (x * I) ^ m / m.fact)) / 2) +
abs ((complex.exp (-x * I) - (range 4).sum (λ m, (-x * I) ^ m / m.fact)) / 2) :
by rw add_div; exact abs_add _ _
... = (abs ((complex.exp (x * I) - (range 4).sum (λ m, (x * I) ^ m / m.fact))) / 2 +
abs ((complex.exp (-x * I) - (range 4).sum (λ m, (-x * I) ^ m / m.fact))) / 2) :
by simp [complex.abs_div]
... ≤ ((complex.abs (x * I) ^ 4 * (nat.succ 4 * (nat.fact 4 * (4 : ℕ))⁻¹)) / 2 +
(complex.abs (-x * I) ^ 4 * (nat.succ 4 * (nat.fact 4 * (4 : ℕ))⁻¹)) / 2) :
add_le_add ((div_le_div_right (by norm_num)).2 (exp_bound (by simpa) dec_trivial))
((div_le_div_right (by norm_num)).2 (exp_bound (by simpa) dec_trivial))
... ≤ abs' x ^ 4 * (5 / 96) : by norm_num; simp [mul_assoc, mul_comm, mul_left_comm, mul_div_assoc]
lemma sin_bound {x : ℝ} (hx : abs' x ≤ 1) : abs' (sin x - (x - x ^ 3 / 6)) ≤ abs' x ^ 4 * (5 / 96) :=
calc abs' (sin x - (x - x ^ 3 / 6)) = abs (complex.sin x - (x - x ^ 3 / 6)) :
by rw ← abs_of_real; simp [of_real_bit0, of_real_one, of_real_inv]
... = abs (((complex.exp (-x * I) - complex.exp (x * I)) * I - (2 * x - x ^ 3 / 3)) / 2) :
by simp [complex.sin, sub_div, add_div, neg_div, mul_div_cancel_left _ (@two_ne_zero' ℂ _ _ _),
div_div_eq_div_mul, show (3 : ℂ) * 2 = 6, by norm_num]
... = abs ((((complex.exp (-x * I) - (range 4).sum (λ m, (-x * I) ^ m / m.fact)) -
(complex.exp (x * I) - (range 4).sum (λ m, (x * I) ^ m / m.fact))) * I) / 2) :
congr_arg abs (congr_arg (λ x : ℂ, x / 2) begin
simp only [sum_range_succ],
simp [pow_succ],
apply complex.ext; simp [div_eq_mul_inv, norm_sq]; ring
end)
... ≤ abs ((complex.exp (-x * I) - (range 4).sum (λ m, (-x * I) ^ m / m.fact)) * I / 2) +
abs (-((complex.exp (x * I) - (range 4).sum (λ m, (x * I) ^ m / m.fact)) * I) / 2) :
by rw [sub_mul, sub_eq_add_neg, add_div]; exact abs_add _ _
... = (abs ((complex.exp (x * I) - (range 4).sum (λ m, (x * I) ^ m / m.fact))) / 2 +
abs ((complex.exp (-x * I) - (range 4).sum (λ m, (-x * I) ^ m / m.fact))) / 2) :
by simp [add_comm, complex.abs_div, complex.abs_mul]
... ≤ ((complex.abs (x * I) ^ 4 * (nat.succ 4 * (nat.fact 4 * (4 : ℕ))⁻¹)) / 2 +
(complex.abs (-x * I) ^ 4 * (nat.succ 4 * (nat.fact 4 * (4 : ℕ))⁻¹)) / 2) :
add_le_add ((div_le_div_right (by norm_num)).2 (exp_bound (by simpa) dec_trivial))
((div_le_div_right (by norm_num)).2 (exp_bound (by simpa) dec_trivial))
... ≤ abs' x ^ 4 * (5 / 96) : by norm_num; simp [mul_assoc, mul_comm, mul_left_comm, mul_div_assoc]
lemma cos_pos_of_le_one {x : ℝ} (hx : abs' x ≤ 1) : 0 < cos x :=
calc 0 < (1 - x ^ 2 / 2) - abs' x ^ 4 * (5 / 96) :
sub_pos.2 $ lt_sub_iff_add_lt.2
(calc abs' x ^ 4 * (5 / 96) + x ^ 2 / 2
≤ 1 * (5 / 96) + 1 / 2 :
add_le_add
(mul_le_mul_of_nonneg_right (pow_le_one _ (abs_nonneg _) hx) (by norm_num))
((div_le_div_right (by norm_num)).2 (by rw [pow_two, ← abs_mul_self, _root_.abs_mul];
exact mul_le_one hx (abs_nonneg _) hx))
... < 1 : by norm_num)
... ≤ cos x : sub_le.1 (abs_sub_le_iff.1 (cos_bound hx)).2
lemma sin_pos_of_pos_of_le_one {x : ℝ} (hx0 : 0 < x) (hx : x ≤ 1) : 0 < sin x :=
calc 0 < x - x ^ 3 / 6 - abs' x ^ 4 * (5 / 96) :
sub_pos.2 $ lt_sub_iff_add_lt.2
(calc abs' x ^ 4 * (5 / 96) + x ^ 3 / 6
≤ x * (5 / 96) + x / 6 :
add_le_add
(mul_le_mul_of_nonneg_right
(calc abs' x ^ 4 ≤ abs' x ^ 1 : pow_le_pow_of_le_one (abs_nonneg _)
(by rwa _root_.abs_of_nonneg (le_of_lt hx0))
dec_trivial
... = x : by simp [_root_.abs_of_nonneg (le_of_lt (hx0))]) (by norm_num))
((div_le_div_right (by norm_num)).2
(calc x ^ 3 ≤ x ^ 1 : pow_le_pow_of_le_one (le_of_lt hx0) hx dec_trivial
... = x : pow_one _))
... < x : by linarith)
... ≤ sin x : sub_le.1 (abs_sub_le_iff.1 (sin_bound
(by rwa [_root_.abs_of_nonneg (le_of_lt hx0)]))).2
lemma sin_pos_of_pos_of_le_two {x : ℝ} (hx0 : 0 < x) (hx : x ≤ 2) : 0 < sin x :=
have x / 2 ≤ 1, from div_le_of_le_mul (by norm_num) (by simpa),
calc 0 < 2 * sin (x / 2) * cos (x / 2) :
mul_pos (mul_pos (by norm_num) (sin_pos_of_pos_of_le_one (half_pos hx0) this))
(cos_pos_of_le_one (by rwa [_root_.abs_of_nonneg (le_of_lt (half_pos hx0))]))
... = sin x : by rw [← sin_two_mul, two_mul, add_halves]
lemma cos_one_le : cos 1 ≤ 2 / 3 :=
calc cos 1 ≤ abs' (1 : ℝ) ^ 4 * (5 / 96) + (1 - 1 ^ 2 / 2) :
sub_le_iff_le_add.1 (abs_sub_le_iff.1 (cos_bound (by simp))).1
... ≤ 2 / 3 : by norm_num
lemma cos_one_pos : 0 < cos 1 := cos_pos_of_le_one (by simp)
lemma cos_two_neg : cos 2 < 0 :=
calc cos 2 = cos (2 * 1) : congr_arg cos (mul_one _).symm
... = _ : real.cos_two_mul 1
... ≤ 2 * (2 / 3) ^ 2 - 1 :
sub_le_sub_right (mul_le_mul_of_nonneg_left
(by rw [pow_two, pow_two]; exact
mul_self_le_mul_self (le_of_lt cos_one_pos)
cos_one_le)
(by norm_num)) _
... < 0 : by norm_num
end real
namespace complex
lemma abs_cos_add_sin_mul_I (x : ℝ) : abs (cos x + sin x * I) = 1 :=
have _ := real.sin_sq_add_cos_sq x,
by simp [add_comm, abs, norm_sq, pow_two, *, sin_of_real_re, cos_of_real_re, mul_re] at *
lemma abs_exp_eq_iff_re_eq {x y : ℂ} : abs (exp x) = abs (exp y) ↔ x.re = y.re :=
by rw [exp_eq_exp_re_mul_sin_add_cos, exp_eq_exp_re_mul_sin_add_cos y,
abs_mul, abs_mul, abs_cos_add_sin_mul_I, abs_cos_add_sin_mul_I,
← of_real_exp, ← of_real_exp, abs_of_nonneg (le_of_lt (real.exp_pos _)),
abs_of_nonneg (le_of_lt (real.exp_pos _)), mul_one, mul_one];
exact ⟨λ h, real.exp_injective h, congr_arg _⟩
@[simp] lemma abs_exp_of_real (x : ℝ) : abs (exp x) = real.exp x :=
by rw [← of_real_exp]; exact abs_of_nonneg (le_of_lt (real.exp_pos _))
end complex
|
6a6d8ebe8323d3151ee7ee8893d6eedcde9fe0d4 | abd85493667895c57a7507870867b28124b3998f | /src/data/mv_polynomial.lean | 1b7fa16ad6e4686cc95694fdaa7a4dff1323af21 | [
"Apache-2.0"
] | permissive | pechersky/mathlib | d56eef16bddb0bfc8bc552b05b7270aff5944393 | f1df14c2214ee114c9738e733efd5de174deb95d | refs/heads/master | 1,666,714,392,571 | 1,591,747,567,000 | 1,591,747,567,000 | 270,557,274 | 0 | 0 | Apache-2.0 | 1,591,597,975,000 | 1,591,597,974,000 | null | UTF-8 | Lean | false | false | 58,381 | 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, Shing Tak Lam
-/
import data.polynomial
import data.equiv.ring
import data.equiv.fin
import tactic.omega
/-!
# Multivariate polynomials
This file defines polynomial rings over a base ring (or even semiring),
with variables from a general type `σ` (which could be infinite).
## Important definitions
Let `R` be a commutative ring (or a semiring) and let `σ` be an arbitrary
type. This file creates the type `mv_polynomial σ R`, which mathematicians
might denote `R[X_i : i ∈ σ]`. It is the type of multivariate
(a.k.a. multivariable) polynomials, with variables
corresponding to the terms in `σ`, and coefficients in `R`.
### Notation
In the definitions below, we use the following notation:
+ `σ : Type*` (indexing the variables)
+ `R : Type*` `[comm_semiring R]` (the coefficients)
+ `s : σ →₀ ℕ`, a function from `σ` to `ℕ` which is zero away from a finite set.
This will give rise to a monomial in `mv_polynomial σ R` which mathematicians might call `X^s`
+ `a : R`
+ `i : σ`, with corresponding monomial `X i`, often denoted `X_i` by mathematicians
+ `p : mv_polynomial σ R`
### Definitions
* `mv_polynomial σ R` : the type of polynomials with variables of type `σ` and coefficients
in the commutative semiring `R`
* `monomial s a` : the monomial which mathematically would be denoted `a * X^s`
* `C a` : the constant polynomial with value `a`
* `X i` : the degree one monomial corresponding to i; mathematically this might be denoted `Xᵢ`.
* `coeff s p` : the coefficient of `s` in `p`.
* `eval₂ (f : R → S) (g : σ → S) p` : given a semiring homomorphism from `R` to another
semiring `S`, and a map `σ → S`, evaluates `p` at this valuation, returning a term of type `S`.
Note that `eval₂` can be made using `eval` and `map` (see below), and it has been suggested
that sticking to `eval` and `map` might make the code less brittle.
* `eval (g : σ → R) p` : given a map `σ → R`, evaluates `p` at this valuation,
returning a term of type `R`
* `map (f : R → S) p` : returns the multivariate polynomial obtained from `p` by the change of
coefficient semiring corresponding to `f`
* `degrees p` : the multiset of variables representing the union of the multisets corresponding
to each non-zero monomial in `p`. For example if `7 ≠ 0` in `R` and `p = x²y+7y³` then
`degrees p = {x, x, y, y, y}`
* `vars p` : the finset of variables occurring in `p`. For example if `p = x⁴y+yz` then
`vars p = {x, y, z}`
* `degree_of n p : ℕ` -- the total degree of `p` with respect to the variable `n`. For example
if `p = x⁴y+yz` then `degree_of y p = 1`.
* `total_degree p : ℕ` -- the max of the sizes of the multisets `s` whose monomials `X^s` occur
in `p`. For example if `p = x⁴y+yz` then `total_degree p = 5`.
* `pderivative i p` : the partial derivative of `p` with respect to `i`.
## Implementation notes
Recall that if `Y` has a zero, then `X →₀ Y` is the type of functions from `X` to `Y` with finite
support, i.e. such that only finitely many elements of `X` get sent to non-zero terms in `Y`.
The definition of `mv_polynomial σ α` is `(σ →₀ ℕ) →₀ α` ; here `σ →₀ ℕ` denotes the space of all
monomials in the variables, and the function to `α` sends a monomial to its coefficient in
the polynomial being represented.
## Tags
polynomial, multivariate polynomial, multivariable polynomial
-/
noncomputable theory
local attribute [instance, priority 100] classical.prop_decidable
open set function finsupp add_monoid_algebra
universes u v w x
variables {α : Type u} {β : Type v} {γ : Type w} {δ : Type x}
/-- Multivariate polynomial, where `σ` is the index set of the variables and
`α` is the coefficient ring -/
def mv_polynomial (σ : Type*) (α : Type*) [comm_semiring α] := add_monoid_algebra α (σ →₀ ℕ)
namespace mv_polynomial
variables {σ : Type*} {a a' a₁ a₂ : α} {e : ℕ} {n m : σ} {s : σ →₀ ℕ}
section comm_semiring
variables [comm_semiring α] {p q : mv_polynomial σ α}
instance decidable_eq_mv_polynomial [decidable_eq σ] [decidable_eq α] :
decidable_eq (mv_polynomial σ α) := finsupp.decidable_eq
instance : comm_semiring (mv_polynomial σ α) := add_monoid_algebra.comm_semiring
instance : inhabited (mv_polynomial σ α) := ⟨0⟩
/-- the coercion turning an `mv_polynomial` into the function which reports the coefficient of a given monomial -/
def coeff_coe_to_fun : has_coe_to_fun (mv_polynomial σ α) :=
finsupp.has_coe_to_fun
local attribute [instance] coeff_coe_to_fun
/-- `monomial s a` is the monomial `a * X^s` -/
def monomial (s : σ →₀ ℕ) (a : α) : mv_polynomial σ α := single s a
/-- `C a` is the constant polynomial with value `a` -/
def C (a : α) : mv_polynomial σ α := monomial 0 a
/-- `X n` is the degree `1` monomial `1*n` -/
def X (n : σ) : mv_polynomial σ α := monomial (single n 1) 1
@[simp] lemma C_0 : C 0 = (0 : mv_polynomial σ α) := by simp [C, monomial]; refl
@[simp] lemma C_1 : C 1 = (1 : mv_polynomial σ α) := rfl
lemma C_mul_monomial : C a * monomial s a' = monomial s (a * a') :=
by simp [C, monomial, single_mul_single]
@[simp] lemma C_add : (C (a + a') : mv_polynomial σ α) = C a + C a' := single_add
@[simp] lemma C_mul : (C (a * a') : mv_polynomial σ α) = C a * C a' := C_mul_monomial.symm
@[simp] lemma C_pow (a : α) (n : ℕ) : (C (a^n) : mv_polynomial σ α) = (C a)^n :=
by induction n; simp [pow_succ, *]
instance : is_semiring_hom (C : α → mv_polynomial σ α) :=
{ map_zero := C_0,
map_one := C_1,
map_add := λ a a', C_add,
map_mul := λ a a', C_mul }
lemma C_injective (σ : Type*) (R : Type*) [comm_ring R] :
function.injective (C : R → mv_polynomial σ R) :=
finsupp.injective_single _
@[simp] lemma C_inj {σ : Type*} (R : Type*) [comm_ring R] (r s : R) :
(C r : mv_polynomial σ R) = C s ↔ r = s :=
(C_injective σ R).eq_iff
lemma C_eq_coe_nat (n : ℕ) : (C ↑n : mv_polynomial σ α) = n :=
by induction n; simp [nat.succ_eq_add_one, *]
lemma X_pow_eq_single : X n ^ e = monomial (single n e) (1 : α) :=
begin
induction e,
{ simp [X], refl },
{ simp [pow_succ, e_ih],
simp [X, monomial, single_mul_single, nat.succ_eq_add_one, add_comm] }
end
lemma monomial_add_single : monomial (s + single n e) a = (monomial s a * X n ^ e) :=
by rw [X_pow_eq_single, monomial, monomial, monomial, single_mul_single]; simp
lemma monomial_single_add : monomial (single n e + s) a = (X n ^ e * monomial s a) :=
by rw [X_pow_eq_single, monomial, monomial, monomial, single_mul_single]; simp
lemma single_eq_C_mul_X {s : σ} {a : α} {n : ℕ} :
monomial (single s n) a = C a * (X s)^n :=
by rw [← zero_add (single s n), monomial_add_single, C]
@[simp] lemma monomial_add {s : σ →₀ ℕ} {a b : α} :
monomial s a + monomial s b = monomial s (a + b) :=
by simp [monomial]
@[simp] lemma monomial_mul {s s' : σ →₀ ℕ} {a b : α} :
monomial s a * monomial s' b = monomial (s + s') (a * b) :=
by rw [monomial, monomial, monomial, add_monoid_algebra.single_mul_single]
@[simp] lemma monomial_zero {s : σ →₀ ℕ}: monomial s (0 : α) = 0 :=
by rw [monomial, single_zero]; refl
@[simp] lemma sum_monomial {A : Type*} [add_comm_monoid A]
{u : σ →₀ ℕ} {r : α} {b : (σ →₀ ℕ) → α → A} (w : b u 0 = 0) :
sum (monomial u r) b = b u r :=
sum_single_index w
lemma monomial_eq : monomial s a = C a * (s.prod $ λn e, X n ^ e : mv_polynomial σ α) :=
begin
apply @finsupp.induction σ ℕ _ _ s,
{ simp only [C, prod_zero_index]; exact (mul_one _).symm },
{ assume n e s hns he ih,
rw [monomial_single_add, ih, prod_add_index, prod_single_index, mul_left_comm],
{ simp only [pow_zero], },
{ intro a, simp only [pow_zero], },
{ intros, rw pow_add, }, }
end
@[recursor 5]
lemma induction_on {M : mv_polynomial σ α → Prop} (p : mv_polynomial σ α)
(h_C : ∀a, M (C a)) (h_add : ∀p q, M p → M q → M (p + q)) (h_X : ∀p n, M p → M (p * X n)) :
M p :=
have ∀s a, M (monomial s a),
begin
assume s a,
apply @finsupp.induction σ ℕ _ _ s,
{ show M (monomial 0 a), from h_C a, },
{ assume n e p hpn he ih,
have : ∀e:ℕ, M (monomial p a * X n ^ e),
{ intro e,
induction e,
{ simp [ih] },
{ simp [ih, pow_succ', (mul_assoc _ _ _).symm, h_X, e_ih] } },
simp [add_comm, monomial_add_single, this] }
end,
finsupp.induction p
(by have : M (C 0) := h_C 0; rwa [C_0] at this)
(assume s a p hsp ha hp, h_add _ _ (this s a) hp)
theorem induction_on' {P : mv_polynomial σ α → Prop} (p : mv_polynomial σ α)
(h1 : ∀ (u : σ →₀ ℕ) (a : α), P (monomial u a))
(h2 : ∀ (p q : mv_polynomial σ α), P p → P q → P (p + q)) : P p :=
finsupp.induction p (suffices P (monomial 0 0), by rwa monomial_zero at this,
show P (monomial 0 0), from h1 0 0)
(λ a b f ha hb hPf, h2 _ _ (h1 _ _) hPf)
lemma hom_eq_hom [semiring γ]
(f g : mv_polynomial σ α → γ) (hf : is_semiring_hom f) (hg : is_semiring_hom g)
(hC : ∀a:α, f (C a) = g (C a)) (hX : ∀n:σ, f (X n) = g (X n)) (p : mv_polynomial σ α) :
f p = g p :=
mv_polynomial.induction_on p hC
begin assume p q hp hq, rw [is_semiring_hom.map_add f, is_semiring_hom.map_add g, hp, hq] end
begin assume p n hp, rw [is_semiring_hom.map_mul f, is_semiring_hom.map_mul g, hp, hX] end
lemma is_id (f : mv_polynomial σ α → mv_polynomial σ α) (hf : is_semiring_hom f)
(hC : ∀a:α, f (C a) = (C a)) (hX : ∀n:σ, f (X n) = (X n)) (p : mv_polynomial σ α) :
f p = p :=
hom_eq_hom f id hf is_semiring_hom.id hC hX p
section coeff
section
-- While setting up `coeff`, we make `mv_polynomial` reducible so we can treat it as a function.
local attribute [reducible] mv_polynomial
/-- The coefficient of the monomial `m` in the multi-variable polynomial `p`. -/
def coeff (m : σ →₀ ℕ) (p : mv_polynomial σ α) : α := p m
end
lemma ext (p q : mv_polynomial σ α) :
(∀ m, coeff m p = coeff m q) → p = q := ext
lemma ext_iff (p q : mv_polynomial σ α) :
p = q ↔ (∀ m, coeff m p = coeff m q) :=
⟨ λ h m, by rw h, ext p q⟩
@[simp] lemma coeff_add (m : σ →₀ ℕ) (p q : mv_polynomial σ α) :
coeff m (p + q) = coeff m p + coeff m q := add_apply
@[simp] lemma coeff_zero (m : σ →₀ ℕ) :
coeff m (0 : mv_polynomial σ α) = 0 := rfl
@[simp] lemma coeff_zero_X (i : σ) : coeff 0 (X i : mv_polynomial σ α) = 0 :=
single_eq_of_ne (λ h, by cases single_eq_zero.1 h)
instance coeff.is_add_monoid_hom (m : σ →₀ ℕ) :
is_add_monoid_hom (coeff m : mv_polynomial σ α → α) :=
{ map_add := coeff_add m,
map_zero := coeff_zero m }
lemma coeff_sum {X : Type*} (s : finset X) (f : X → mv_polynomial σ α) (m : σ →₀ ℕ) :
coeff m (s.sum f) = s.sum (λ x, coeff m (f x)) :=
(s.sum_hom _).symm
lemma monic_monomial_eq (m) : monomial m (1:α) = (m.prod $ λn e, X n ^ e : mv_polynomial σ α) :=
by simp [monomial_eq]
@[simp] lemma coeff_monomial (m n) (a) :
coeff m (monomial n a : mv_polynomial σ α) = if n = m then a else 0 :=
by convert single_apply
@[simp] lemma coeff_C (m) (a) :
coeff m (C a : mv_polynomial σ α) = if 0 = m then a else 0 :=
by convert single_apply
lemma coeff_X_pow (i : σ) (m) (k : ℕ) :
coeff m (X i ^ k : mv_polynomial σ α) = if single i k = m then 1 else 0 :=
begin
have := coeff_monomial m (finsupp.single i k) (1:α),
rwa [@monomial_eq _ _ (1:α) (finsupp.single i k) _,
C_1, one_mul, finsupp.prod_single_index] at this,
exact pow_zero _
end
lemma coeff_X' (i : σ) (m) :
coeff m (X i : mv_polynomial σ α) = if single i 1 = m then 1 else 0 :=
by rw [← coeff_X_pow, pow_one]
@[simp] lemma coeff_X (i : σ) :
coeff (single i 1) (X i : mv_polynomial σ α) = 1 :=
by rw [coeff_X', if_pos rfl]
@[simp] lemma coeff_C_mul (m) (a : α) (p : mv_polynomial σ α) : coeff m (C a * p) = a * coeff m p :=
begin
rw [mul_def, C, monomial],
rw sum_single_index,
{ simp only [zero_add],
convert sum_apply,
simp only [single_apply, finsupp.sum],
rw finset.sum_eq_single m,
{ rw if_pos rfl, refl },
{ intros m' hm' H, apply if_neg, exact H },
{ intros hm, rw if_pos rfl, rw not_mem_support_iff at hm, simp [hm] } },
simp only [zero_mul, single_zero, zero_add],
exact sum_zero, -- TODO doesn't work if we put this inside the simp
end
lemma coeff_mul (p q : mv_polynomial σ α) (n : σ →₀ ℕ) :
coeff n (p * q) = finset.sum (antidiagonal n).support (λ x, coeff x.1 p * coeff x.2 q) :=
begin
rw mul_def,
have := @finset.sum_sigma (σ →₀ ℕ) α _ _ p.support (λ _, q.support)
(λ x, if (x.1 + x.2 = n) then coeff x.1 p * coeff x.2 q else 0),
convert this.symm using 1; clear this,
{ rw [coeff],
repeat {rw sum_apply, apply finset.sum_congr rfl, intros, dsimp only},
convert single_apply },
{ have : (antidiagonal n).support.filter (λ x, x.1 ∈ p.support ∧ x.2 ∈ q.support) ⊆
(antidiagonal n).support := finset.filter_subset _,
rw [← finset.sum_sdiff this, finset.sum_eq_zero, zero_add], swap,
{ intros x hx,
rw [finset.mem_sdiff, not_iff_not_of_iff (finset.mem_filter),
not_and, not_and, not_mem_support_iff] at hx,
by_cases H : x.1 ∈ p.support,
{ rw [coeff, coeff, hx.2 hx.1 H, mul_zero] },
{ rw not_mem_support_iff at H, rw [coeff, H, zero_mul] } },
symmetry,
rw [← finset.sum_sdiff (finset.filter_subset _), finset.sum_eq_zero, zero_add], swap,
{ intros x hx,
rw [finset.mem_sdiff, not_iff_not_of_iff (finset.mem_filter), not_and] at hx,
simp only [if_neg (hx.2 hx.1)] },
{ apply finset.sum_bij, swap 5,
{ intros x hx, exact (x.1, x.2) },
{ intros x hx, rw [finset.mem_filter, finset.mem_sigma] at hx,
simpa [finset.mem_filter, mem_antidiagonal_support] using hx.symm },
{ intros x hx, rw finset.mem_filter at hx, simp only [if_pos hx.2], },
{ rintros ⟨i,j⟩ ⟨k,l⟩ hij hkl, simpa using and.intro },
{ rintros ⟨i,j⟩ hij, refine ⟨⟨i,j⟩, _, _⟩, { apply_instance },
{ rw [finset.mem_filter, mem_antidiagonal_support] at hij,
simpa [finset.mem_filter, finset.mem_sigma] using hij.symm },
{ refl } } },
all_goals { apply_instance } }
end
@[simp] lemma coeff_mul_X (m) (s : σ) (p : mv_polynomial σ α) :
coeff (m + single s 1) (p * X s) = coeff m p :=
begin
have : (m, single s 1) ∈ (m + single s 1).antidiagonal.support := mem_antidiagonal_support.2 rfl,
rw [coeff_mul, ← finset.insert_erase this, finset.sum_insert (finset.not_mem_erase _ _),
finset.sum_eq_zero, add_zero, coeff_X, mul_one],
rintros ⟨i,j⟩ hij,
rw [finset.mem_erase, mem_antidiagonal_support] at hij,
by_cases H : single s 1 = j,
{ subst j, simpa using hij },
{ rw [coeff_X', if_neg H, mul_zero] },
end
lemma coeff_mul_X' (m) (s : σ) (p : mv_polynomial σ α) :
coeff m (p * X s) = if s ∈ m.support then coeff (m - single s 1) p else 0 :=
begin
split_ifs with h h,
{ conv_rhs {rw ← coeff_mul_X _ s},
congr' 1, ext t,
by_cases hj : s = t,
{ subst t, simp only [nat_sub_apply, add_apply, single_eq_same],
refine (nat.sub_add_cancel $ nat.pos_of_ne_zero _).symm, rwa mem_support_iff at h },
{ simp [single_eq_of_ne hj] } },
{ delta coeff, rw ← not_mem_support_iff, intro hm, apply h,
have H := support_mul _ _ hm, simp only [finset.mem_bind] at H,
rcases H with ⟨j, hj, i', hi', H⟩,
delta X monomial at hi', rw mem_support_single at hi', cases hi', subst i',
erw finset.mem_singleton at H, subst m,
rw [mem_support_iff, add_apply, single_apply, if_pos rfl],
intro H, rw [_root_.add_eq_zero_iff] at H, exact one_ne_zero H.2 }
end
end coeff
section as_sum
@[simp]
lemma support_sum_monomial_coeff (p : mv_polynomial σ α) : p.support.sum (λ v, monomial v (coeff v p)) = p :=
finsupp.sum_single p
lemma as_sum (p : mv_polynomial σ α) : p = p.support.sum (λ v, monomial v (coeff v p)) :=
(support_sum_monomial_coeff p).symm
end as_sum
section eval₂
variables [comm_semiring β]
variables (f : α → β) (g : σ → β)
/-- Evaluate a polynomial `p` given a valuation `g` of all the variables
and a ring hom `f` from the scalar ring to the target -/
def eval₂ (p : mv_polynomial σ α) : β :=
p.sum (λs a, f a * s.prod (λn e, g n ^ e))
@[simp] lemma eval₂_zero : (0 : mv_polynomial σ α).eval₂ f g = 0 :=
finsupp.sum_zero_index
section
variables [is_semiring_hom f]
@[simp] lemma eval₂_add : (p + q).eval₂ f g = p.eval₂ f g + q.eval₂ f g :=
finsupp.sum_add_index
(by simp [is_semiring_hom.map_zero f])
(by simp [add_mul, is_semiring_hom.map_add f])
@[simp] lemma eval₂_monomial : (monomial s a).eval₂ f g = f a * s.prod (λn e, g n ^ e) :=
finsupp.sum_single_index (by simp [is_semiring_hom.map_zero f])
@[simp] lemma eval₂_C (a) : (C a).eval₂ f g = f a :=
by simp [eval₂_monomial, C, prod_zero_index]
@[simp] lemma eval₂_one : (1 : mv_polynomial σ α).eval₂ f g = 1 :=
(eval₂_C _ _ _).trans (is_semiring_hom.map_one f)
@[simp] lemma eval₂_X (n) : (X n).eval₂ f g = g n :=
by simp [eval₂_monomial,
is_semiring_hom.map_one f, X, prod_single_index, pow_one]
lemma eval₂_mul_monomial :
∀{s a}, (p * monomial s a).eval₂ f g = p.eval₂ f g * f a * s.prod (λn e, g n ^ e) :=
begin
apply mv_polynomial.induction_on p,
{ assume a' s a,
simp [C_mul_monomial, eval₂_monomial, is_semiring_hom.map_mul f] },
{ assume p q ih_p ih_q, simp [add_mul, eval₂_add, ih_p, ih_q] },
{ assume p n ih s a,
from calc (p * X n * monomial s a).eval₂ f g = (p * monomial (single n 1 + s) a).eval₂ f g :
by simp [monomial_single_add, -add_comm, pow_one, mul_assoc]
... = (p * monomial (single n 1) 1).eval₂ f g * f a * s.prod (λn e, g n ^ e) :
by simp [ih, prod_single_index, prod_add_index, pow_one, pow_add, mul_assoc, mul_left_comm,
is_semiring_hom.map_one f, -add_comm] }
end
@[simp] lemma eval₂_mul : ∀{p}, (p * q).eval₂ f g = p.eval₂ f g * q.eval₂ f g :=
begin
apply mv_polynomial.induction_on q,
{ simp [C, eval₂_monomial, eval₂_mul_monomial, prod_zero_index] },
{ simp [mul_add, eval₂_add] {contextual := tt} },
{ simp [X, eval₂_monomial, eval₂_mul_monomial, (mul_assoc _ _ _).symm] { contextual := tt} }
end
@[simp] lemma eval₂_pow {p:mv_polynomial σ α} : ∀{n:ℕ}, (p ^ n).eval₂ f g = (p.eval₂ f g)^n
| 0 := eval₂_one _ _
| (n + 1) := by rw [pow_add, pow_one, pow_add, pow_one, eval₂_mul, eval₂_pow]
instance eval₂.is_semiring_hom : is_semiring_hom (eval₂ f g) :=
{ map_zero := eval₂_zero _ _,
map_one := eval₂_one _ _,
map_add := λ p q, eval₂_add _ _,
map_mul := λ p q, eval₂_mul _ _ }
/-- `mv_polynomial.eval₂` as a `ring_hom`. -/
def eval₂_hom (f : α →+* β) (g : σ → β) : mv_polynomial σ α →+* β := ring_hom.of (eval₂ f g)
@[simp] lemma coe_eval₂_hom (f : α →+* β) (g : σ → β) : ⇑(eval₂_hom f g) = eval₂ f g := rfl
end
section
local attribute [instance, priority 10] is_semiring_hom.comp
lemma eval₂_comp_left {γ} [comm_semiring γ]
(k : β → γ) [is_semiring_hom k]
(f : α → β) [is_semiring_hom f] (g : σ → β)
(p) : k (eval₂ f g p) = eval₂ (k ∘ f) (k ∘ g) p :=
by apply mv_polynomial.induction_on p; simp [
eval₂_add, is_semiring_hom.map_add k,
eval₂_mul, is_semiring_hom.map_mul k] {contextual := tt}
end
@[simp] lemma eval₂_eta (p : mv_polynomial σ α) : eval₂ C X p = p :=
by apply mv_polynomial.induction_on p;
simp [eval₂_add, eval₂_mul] {contextual := tt}
lemma eval₂_congr (g₁ g₂ : σ → β)
(h : ∀ {i : σ} {c : σ →₀ ℕ}, i ∈ c.support → coeff c p ≠ 0 → g₁ i = g₂ i) :
p.eval₂ f g₁ = p.eval₂ f g₂ :=
begin
apply finset.sum_congr rfl,
intros c hc, dsimp, congr' 1,
apply finset.prod_congr rfl,
intros i hi, dsimp, congr' 1,
apply h hi,
rwa finsupp.mem_support_iff at hc
end
variables [is_semiring_hom f]
@[simp] lemma eval₂_prod (s : finset γ) (p : γ → mv_polynomial σ α) :
eval₂ f g (s.prod p) = s.prod (λ x, eval₂ f g $ p x) :=
(s.prod_hom _).symm
@[simp] lemma eval₂_sum (s : finset γ) (p : γ → mv_polynomial σ α) :
eval₂ f g (s.sum p) = s.sum (λ x, eval₂ f g $ p x) :=
(s.sum_hom _).symm
attribute [to_additive] eval₂_prod
lemma eval₂_assoc (q : γ → mv_polynomial σ α) (p : mv_polynomial γ α) :
eval₂ f (λ t, eval₂ f g (q t)) p = eval₂ f g (eval₂ C q p) :=
by { rw eval₂_comp_left (eval₂ f g), congr, funext, simp }
end eval₂
section eval
variables {f : σ → α}
/-- Evaluate a polynomial `p` given a valuation `f` of all the variables -/
def eval (f : σ → α) : mv_polynomial σ α → α := eval₂ id f
@[simp] lemma eval_zero : (0 : mv_polynomial σ α).eval f = 0 := eval₂_zero _ _
@[simp] lemma eval_one : (1 : mv_polynomial σ α).eval f = 1 := eval₂_one _ _
@[simp] lemma eval_add : (p + q).eval f = p.eval f + q.eval f := eval₂_add _ _
lemma eval_monomial : (monomial s a).eval f = a * s.prod (λn e, f n ^ e) :=
eval₂_monomial _ _
@[simp] lemma eval_C : ∀ a, (C a).eval f = a := eval₂_C _ _
@[simp] lemma eval_X : ∀ n, (X n).eval f = f n := eval₂_X _ _
@[simp] lemma eval_mul : (p * q).eval f = p.eval f * q.eval f := eval₂_mul _ _
@[simp] lemma eval_pow (n : ℕ) : (p ^ n).eval f = (p.eval f) ^ n := eval₂_pow _ _
instance eval.is_semiring_hom : is_semiring_hom (eval f) :=
eval₂.is_semiring_hom _ _
theorem eval_assoc {τ}
(f : σ → mv_polynomial τ α) (g : τ → α)
(p : mv_polynomial σ α) :
p.eval (eval g ∘ f) = (eval₂ C f p).eval g :=
begin
rw eval₂_comp_left (eval g),
unfold eval, congr; funext a; simp
end
end eval
section map
variables [comm_semiring β]
variables (f : α → β)
/-- `map f p` maps a polynomial `p` across a ring hom `f` -/
def map : mv_polynomial σ α → mv_polynomial σ β := eval₂ (C ∘ f) X
variables [is_semiring_hom f]
instance is_semiring_hom_C_f :
is_semiring_hom ((C : β → mv_polynomial σ β) ∘ f) :=
is_semiring_hom.comp _ _
@[simp] theorem map_monomial (s : σ →₀ ℕ) (a : α) : map f (monomial s a) = monomial s (f a) :=
(eval₂_monomial _ _).trans monomial_eq.symm
@[simp] theorem map_C : ∀ (a : α), map f (C a : mv_polynomial σ α) = C (f a) := map_monomial _ _
@[simp] theorem map_X : ∀ (n : σ), map f (X n : mv_polynomial σ α) = X n := eval₂_X _ _
@[simp] theorem map_one : map f (1 : mv_polynomial σ α) = 1 := eval₂_one _ _
@[simp] theorem map_add (p q : mv_polynomial σ α) :
map f (p + q) = map f p + map f q := eval₂_add _ _
@[simp] theorem map_mul (p q : mv_polynomial σ α) :
map f (p * q) = map f p * map f q := eval₂_mul _ _
@[simp] lemma map_pow (p : mv_polynomial σ α) (n : ℕ) :
map f (p^n) = (map f p)^n := eval₂_pow _ _
instance map.is_semiring_hom :
is_semiring_hom (map f : mv_polynomial σ α → mv_polynomial σ β) :=
eval₂.is_semiring_hom _ _
theorem map_id : ∀ (p : mv_polynomial σ α), map id p = p := eval₂_eta
theorem map_map [comm_semiring γ]
(g : β → γ) [is_semiring_hom g]
(p : mv_polynomial σ α) :
map g (map f p) = map (g ∘ f) p :=
(eval₂_comp_left (map g) (C ∘ f) X p).trans $
by congr; funext a; simp
theorem eval₂_eq_eval_map (g : σ → β) (p : mv_polynomial σ α) :
p.eval₂ f g = (map f p).eval g :=
begin
unfold map eval,
rw eval₂_comp_left (eval₂ id g),
congr; funext a; simp
end
lemma eval₂_comp_right {γ} [comm_semiring γ]
(k : β → γ) [is_semiring_hom k]
(f : α → β) [is_semiring_hom f] (g : σ → β)
(p) : k (eval₂ f g p) = eval₂ k (k ∘ g) (map f p) :=
begin
apply mv_polynomial.induction_on p,
{ intro r, rw [eval₂_C, map_C, eval₂_C] },
{ intros p q hp hq, rw [eval₂_add, is_semiring_hom.map_add k, map_add, eval₂_add, hp, hq] },
{ intros p s hp,
rw [eval₂_mul, is_semiring_hom.map_mul k, map_mul, eval₂_mul, map_X, hp, eval₂_X, eval₂_X] }
end
lemma map_eval₂ (f : α → β) [is_semiring_hom f] (g : γ → mv_polynomial δ α) (p : mv_polynomial γ α) :
map f (eval₂ C g p) = eval₂ C (map f ∘ g) (map f p) :=
begin
apply mv_polynomial.induction_on p,
{ intro r, rw [eval₂_C, map_C, map_C, eval₂_C] },
{ intros p q hp hq, rw [eval₂_add, map_add, hp, hq, map_add, eval₂_add] },
{ intros p s hp,
rw [eval₂_mul, map_mul, hp, map_mul, map_X, eval₂_mul, eval₂_X, eval₂_X] }
end
lemma coeff_map (p : mv_polynomial σ α) : ∀ (m : σ →₀ ℕ), coeff m (p.map f) = f (coeff m p) :=
begin
apply mv_polynomial.induction_on p; clear p,
{ intros r m, rw [map_C], simp only [coeff_C], split_ifs, {refl}, rw is_semiring_hom.map_zero f },
{ intros p q hp hq m, simp only [hp, hq, map_add, coeff_add], rw is_semiring_hom.map_add f },
{ intros p i hp m, simp only [hp, map_mul, map_X],
simp only [hp, mem_support_iff, coeff_mul_X'],
split_ifs, {refl},
rw is_semiring_hom.map_zero f }
end
lemma map_injective (hf : function.injective f) :
function.injective (map f : mv_polynomial σ α → mv_polynomial σ β) :=
begin
intros p q h,
simp only [ext_iff, coeff_map] at h ⊢,
intro m,
exact hf (h m),
end
end map
section degrees
section comm_semiring
/--
The maximal degrees of each variable in a multi-variable polynomial, expressed as a multiset.
(For example, `degrees (x^2 * y + y^3)` would be `{x, x, y, y, y}`.)
-/
def degrees (p : mv_polynomial σ α) : multiset σ :=
p.support.sup (λs:σ →₀ ℕ, s.to_multiset)
lemma degrees_monomial (s : σ →₀ ℕ) (a : α) : degrees (monomial s a) ≤ s.to_multiset :=
finset.sup_le $ assume t h,
begin
have := finsupp.support_single_subset h,
rw [finset.mem_singleton] at this,
rw this
end
lemma degrees_monomial_eq (s : σ →₀ ℕ) (a : α) (ha : a ≠ 0) :
degrees (monomial s a) = s.to_multiset :=
le_antisymm (degrees_monomial s a) $ finset.le_sup $
by rw [monomial, finsupp.support_single_ne_zero ha, finset.mem_singleton]
lemma degrees_C (a : α) : degrees (C a : mv_polynomial σ α) = 0 :=
multiset.le_zero.1 $ degrees_monomial _ _
lemma degrees_X (n : σ) : degrees (X n : mv_polynomial σ α) ≤ {n} :=
le_trans (degrees_monomial _ _) $ le_of_eq $ to_multiset_single _ _
lemma degrees_zero : degrees (0 : mv_polynomial σ α) = 0 :=
by { rw ← C_0, exact degrees_C 0 }
lemma degrees_one : degrees (1 : mv_polynomial σ α) = 0 := degrees_C 1
lemma degrees_add (p q : mv_polynomial σ α) : (p + q).degrees ≤ p.degrees ⊔ q.degrees :=
begin
refine finset.sup_le (assume b hb, _),
have := finsupp.support_add hb, rw finset.mem_union at this,
cases this,
{ exact le_sup_left_of_le (finset.le_sup this) },
{ exact le_sup_right_of_le (finset.le_sup this) },
end
lemma degrees_sum {ι : Type*} (s : finset ι) (f : ι → mv_polynomial σ α) :
(s.sum f).degrees ≤ s.sup (λi, (f i).degrees) :=
begin
refine s.induction _ _,
{ simp only [finset.sum_empty, finset.sup_empty, degrees_zero], exact le_refl _ },
{ assume i s his ih,
rw [finset.sup_insert, finset.sum_insert his],
exact le_trans (degrees_add _ _) (sup_le_sup_left ih _) }
end
lemma degrees_mul (p q : mv_polynomial σ α) : (p * q).degrees ≤ p.degrees + q.degrees :=
begin
refine finset.sup_le (assume b hb, _),
have := support_mul p q hb,
simp only [finset.mem_bind, finset.mem_singleton] at this,
rcases this with ⟨a₁, h₁, a₂, h₂, rfl⟩,
rw [finsupp.to_multiset_add],
exact add_le_add (finset.le_sup h₁) (finset.le_sup h₂)
end
lemma degrees_prod {ι : Type*} (s : finset ι) (f : ι → mv_polynomial σ α) :
(s.prod f).degrees ≤ s.sum (λi, (f i).degrees) :=
begin
refine s.induction _ _,
{ simp only [finset.prod_empty, finset.sum_empty, degrees_one] },
{ assume i s his ih,
rw [finset.prod_insert his, finset.sum_insert his],
exact le_trans (degrees_mul _ _) (add_le_add_left ih _) }
end
lemma degrees_pow (p : mv_polynomial σ α) :
∀(n : ℕ), (p^n).degrees ≤ n •ℕ p.degrees
| 0 := begin rw [pow_zero, degrees_one], exact multiset.zero_le _ end
| (n + 1) := le_trans (degrees_mul _ _) (add_le_add_left (degrees_pow n) _)
end comm_semiring
end degrees
section vars
/-- `vars p` is the set of variables appearing in the polynomial `p` -/
def vars (p : mv_polynomial σ α) : finset σ := p.degrees.to_finset
@[simp] lemma vars_0 : (0 : mv_polynomial σ α).vars = ∅ :=
by rw [vars, degrees_zero, multiset.to_finset_zero]
@[simp] lemma vars_monomial (h : a ≠ 0) : (monomial s a).vars = s.support :=
by rw [vars, degrees_monomial_eq _ _ h, finsupp.to_finset_to_multiset]
@[simp] lemma vars_C : (C a : mv_polynomial σ α).vars = ∅ :=
by rw [vars, degrees_C, multiset.to_finset_zero]
@[simp] lemma vars_X (h : 0 ≠ (1 : α)) : (X n : mv_polynomial σ α).vars = {n} :=
by rw [X, vars_monomial h.symm, finsupp.support_single_ne_zero (one_ne_zero : 1 ≠ 0)]
lemma mem_support_not_mem_vars_zero {f : mv_polynomial σ α} {x : σ →₀ ℕ} (H : x ∈ f.support) {v : σ} (h : v ∉ vars f) :
x v = 0 :=
begin
rw [vars, multiset.mem_to_finset] at h,
rw ←not_mem_support_iff,
contrapose! h,
unfold degrees,
rw (show f.support = insert x f.support, from eq.symm $ finset.insert_eq_of_mem H),
rw finset.sup_insert,
simp only [multiset.mem_union, multiset.sup_eq_union],
left,
rwa [←to_finset_to_multiset, multiset.mem_to_finset] at h,
end
end vars
section degree_of
/-- `degree_of n p` gives the highest power of X_n that appears in `p` -/
def degree_of (n : σ) (p : mv_polynomial σ α) : ℕ := p.degrees.count n
end degree_of
section total_degree
/-- `total_degree p` gives the maximum |s| over the monomials X^s in `p` -/
def total_degree (p : mv_polynomial σ α) : ℕ := p.support.sup (λs, s.sum $ λn e, e)
lemma total_degree_eq (p : mv_polynomial σ α) :
p.total_degree = p.support.sup (λm, m.to_multiset.card) :=
begin
rw [total_degree],
congr, funext m,
exact (finsupp.card_to_multiset _).symm
end
lemma total_degree_le_degrees_card (p : mv_polynomial σ α) :
p.total_degree ≤ p.degrees.card :=
begin
rw [total_degree_eq],
exact finset.sup_le (assume s hs, multiset.card_le_of_le $ finset.le_sup hs)
end
@[simp] lemma total_degree_C (a : α) : (C a : mv_polynomial σ α).total_degree = 0 :=
nat.eq_zero_of_le_zero $ finset.sup_le $ assume n hn,
have _ := finsupp.support_single_subset hn,
begin
rw [finset.mem_singleton] at this,
subst this,
exact le_refl _
end
@[simp] lemma total_degree_zero : (0 : mv_polynomial σ α).total_degree = 0 :=
by rw [← C_0]; exact total_degree_C (0 : α)
@[simp] lemma total_degree_one : (1 : mv_polynomial σ α).total_degree = 0 :=
total_degree_C (1 : α)
@[simp] lemma total_degree_X {α} [comm_semiring α] [nonzero α] (s : σ) :
(X s : mv_polynomial σ α).total_degree = 1 :=
begin
rw [total_degree, X, monomial, finsupp.support_single_ne_zero (one_ne_zero : (1 : α) ≠ 0)],
simp only [finset.sup, sum_single_index, finset.fold_singleton, sup_bot_eq],
end
lemma total_degree_add (a b : mv_polynomial σ α) :
(a + b).total_degree ≤ max a.total_degree b.total_degree :=
finset.sup_le $ assume n hn,
have _ := finsupp.support_add hn,
begin
rw finset.mem_union at this,
cases this,
{ exact le_max_left_of_le (finset.le_sup this) },
{ exact le_max_right_of_le (finset.le_sup this) }
end
lemma total_degree_mul (a b : mv_polynomial σ α) :
(a * b).total_degree ≤ a.total_degree + b.total_degree :=
finset.sup_le $ assume n hn,
have _ := add_monoid_algebra.support_mul a b hn,
begin
simp only [finset.mem_bind, finset.mem_singleton] at this,
rcases this with ⟨a₁, h₁, a₂, h₂, rfl⟩,
rw [finsupp.sum_add_index],
{ exact add_le_add (finset.le_sup h₁) (finset.le_sup h₂) },
{ assume a, refl },
{ assume a b₁ b₂, refl }
end
lemma total_degree_pow (a : mv_polynomial σ α) (n : ℕ) :
(a ^ n).total_degree ≤ n * a.total_degree :=
begin
induction n with n ih,
{ simp only [nat.nat_zero_eq_zero, zero_mul, pow_zero, total_degree_one] },
rw pow_succ,
calc total_degree (a * a ^ n) ≤ a.total_degree + (a^n).total_degree : total_degree_mul _ _
... ≤ a.total_degree + n * a.total_degree : add_le_add_left ih _
... = (n+1) * a.total_degree : by rw [add_mul, one_mul, add_comm]
end
lemma total_degree_list_prod :
∀(s : list (mv_polynomial σ α)), s.prod.total_degree ≤ (s.map mv_polynomial.total_degree).sum
| [] := by rw [@list.prod_nil (mv_polynomial σ α) _, total_degree_one]; refl
| (p :: ps) :=
begin
rw [@list.prod_cons (mv_polynomial σ α) _, list.map, list.sum_cons],
exact le_trans (total_degree_mul _ _) (add_le_add_left (total_degree_list_prod ps) _)
end
lemma total_degree_multiset_prod (s : multiset (mv_polynomial σ α)) :
s.prod.total_degree ≤ (s.map mv_polynomial.total_degree).sum :=
begin
refine quotient.induction_on s (assume l, _),
rw [multiset.quot_mk_to_coe, multiset.coe_prod, multiset.coe_map, multiset.coe_sum],
exact total_degree_list_prod l
end
lemma total_degree_finset_prod {ι : Type*}
(s : finset ι) (f : ι → mv_polynomial σ α) :
(s.prod f).total_degree ≤ s.sum (λi, (f i).total_degree) :=
begin
refine le_trans (total_degree_multiset_prod _) _,
rw [multiset.map_map],
refl
end
end total_degree
end comm_semiring
section comm_ring
variable [comm_ring α]
variables {p q : mv_polynomial σ α}
instance : comm_ring (mv_polynomial σ α) := add_monoid_algebra.comm_ring
instance : has_scalar α (mv_polynomial σ α) := finsupp.has_scalar
instance : module α (mv_polynomial σ α) := finsupp.module (σ →₀ ℕ) α
instance C.is_ring_hom : is_ring_hom (C : α → mv_polynomial σ α) :=
by apply is_ring_hom.of_semiring
variables (σ a a')
@[simp] lemma C_sub : (C (a - a') : mv_polynomial σ α) = C a - C a' := is_ring_hom.map_sub _
@[simp] lemma C_neg : (C (-a) : mv_polynomial σ α) = -C a := is_ring_hom.map_neg _
@[simp] lemma coeff_neg (m : σ →₀ ℕ) (p : mv_polynomial σ α) :
coeff m (-p) = -coeff m p := finsupp.neg_apply
@[simp] lemma coeff_sub (m : σ →₀ ℕ) (p q : mv_polynomial σ α) :
coeff m (p - q) = coeff m p - coeff m q := finsupp.sub_apply
instance coeff.is_add_group_hom (m : σ →₀ ℕ) :
is_add_group_hom (coeff m : mv_polynomial σ α → α) :=
{ map_add := coeff_add m }
variables {σ} (p)
theorem C_mul' : mv_polynomial.C a * p = a • p :=
begin
apply finsupp.induction p,
{ exact (mul_zero $ mv_polynomial.C a).trans (@smul_zero α (mv_polynomial σ α) _ _ _ a).symm },
intros p b f haf hb0 ih,
rw [mul_add, ih, @smul_add α (mv_polynomial σ α) _ _ _ a], congr' 1,
rw [add_monoid_algebra.mul_def, finsupp.smul_single, mv_polynomial.C, mv_polynomial.monomial],
rw [finsupp.sum_single_index, finsupp.sum_single_index, zero_add, smul_eq_mul],
{ rw [mul_zero, finsupp.single_zero] },
{ rw finsupp.sum_single_index,
all_goals { rw [zero_mul, finsupp.single_zero] }, }
end
lemma smul_eq_C_mul (p : mv_polynomial σ α) (a : α) : a • p = C a * p :=
begin
rw [← finsupp.sum_single p, @finsupp.smul_sum (σ →₀ ℕ) α α, finsupp.mul_sum],
refine finset.sum_congr rfl (assume n _, _),
simp only [finsupp.smul_single],
exact C_mul_monomial.symm
end
@[simp] lemma smul_eval (x) (p : mv_polynomial σ α) (s) : (s • p).eval x = s * p.eval x :=
by rw [smul_eq_C_mul, eval_mul, eval_C]
section degrees
lemma degrees_neg (p : mv_polynomial σ α) : (- p).degrees = p.degrees :=
by rw [degrees, finsupp.support_neg]; refl
lemma degrees_sub (p q : mv_polynomial σ α) :
(p - q).degrees ≤ p.degrees ⊔ q.degrees :=
le_trans (degrees_add p (-q)) $ by rw [degrees_neg]
end degrees
section eval₂
variables [comm_ring β]
variables (f : α → β) [is_ring_hom f] (g : σ → β)
instance eval₂.is_ring_hom : is_ring_hom (eval₂ f g) :=
by apply is_ring_hom.of_semiring
@[simp] lemma eval₂_sub : (p - q).eval₂ f g = p.eval₂ f g - q.eval₂ f g := is_ring_hom.map_sub _
@[simp] lemma eval₂_neg : (-p).eval₂ f g = -(p.eval₂ f g) := is_ring_hom.map_neg _
lemma hom_C (f : mv_polynomial σ ℤ → β) [is_ring_hom f] (n : ℤ) : f (C n) = (n : β) :=
((ring_hom.of f).comp (ring_hom.of C)).eq_int_cast 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 {α : Type u} (c : ℤ → β) [is_ring_hom c]
(f : mv_polynomial α ℤ → β) [is_ring_hom f] (x : mv_polynomial α ℤ) :
eval₂ c (f ∘ X) x = f x :=
mv_polynomial.induction_on x
(λ n, by { rw [hom_C f, eval₂_C], exact (ring_hom.of c).eq_int_cast n })
(λ p q hp hq, by { rw [eval₂_add, hp, hq], exact (is_ring_hom.map_add f).symm })
(λ p n hp, by { rw [eval₂_mul, eval₂_X, hp], exact (is_ring_hom.map_mul f).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 →+* β) ≃ (σ → β) :=
{ to_fun := λ f, ⇑f ∘ X,
inv_fun := λ f, eval₂_hom (int.cast_ring_hom β) 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 eval
variables (f : σ → α)
instance eval.is_ring_hom : is_ring_hom (eval f) := eval₂.is_ring_hom _ _
@[simp] lemma eval_sub : (p - q).eval f = p.eval f - q.eval f := is_ring_hom.map_sub _
@[simp] lemma eval_neg : (-p).eval f = -(p.eval f) := is_ring_hom.map_neg _
end eval
section map
variables [comm_ring β]
variables (f : α → β) [is_ring_hom f]
instance is_ring_hom_C_f : is_ring_hom ((C : β → mv_polynomial σ β) ∘ f) :=
is_ring_hom.comp _ _
instance map.is_ring_hom : is_ring_hom (map f : mv_polynomial σ α → mv_polynomial σ β) :=
eval₂.is_ring_hom _ _
@[simp] lemma map_sub : (p - q).map f = p.map f - q.map f := is_ring_hom.map_sub _
@[simp] lemma map_neg : (-p).map f = -(p.map f) := is_ring_hom.map_neg _
end map
section total_degree
@[simp] lemma total_degree_neg (a : mv_polynomial σ α) :
(-a).total_degree = a.total_degree :=
by simp only [total_degree, finsupp.support_neg]
lemma total_degree_sub (a b : mv_polynomial σ α) :
(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
section aeval
/-- The algebra of multivariate polynomials. -/
-- FIXME this causes a deterministic timeout with `-T50000` (but `-T60000` seems okay)
instance mv_polynomial (R : Type u) [comm_ring R] (σ : Type v) : algebra R (mv_polynomial σ R) :=
{ commutes' := λ _ _, mul_comm _ _,
smul_def' := λ c p, (mv_polynomial.C_mul' c p).symm,
.. ring_hom.of mv_polynomial.C, .. mv_polynomial.module }
variables (R : Type u) (A : Type v) (f : σ → A)
variables [comm_ring R] [comm_ring A] [algebra R A]
/-- A map `σ → A` where `A` is an algebra over `R` generates an `R`-algebra homomorphism
from multivariate polynomials over `σ` to `A`. -/
def aeval : mv_polynomial σ R →ₐ[R] A :=
{ commutes' := λ r, eval₂_C _ _ _
.. eval₂_hom (algebra_map R A) f }
theorem aeval_def (p : mv_polynomial σ R) : aeval R A f p = eval₂ (algebra_map R A) f p := rfl
@[simp] lemma aeval_X (s : σ) : aeval R A f (X s) = f s := eval₂_X _ _ _
@[simp] lemma aeval_C (r : R) : aeval R A f (C r) = algebra_map R A r := eval₂_C _ _ _
theorem eval_unique (φ : mv_polynomial σ R →ₐ[R] A) :
φ = aeval R A (φ ∘ X) :=
begin
ext p,
apply mv_polynomial.induction_on p,
{ intro r, rw aeval_C, exact φ.commutes r },
{ intros f g ih1 ih2,
rw [φ.map_add, ih1, ih2, alg_hom.map_add] },
{ intros p j ih,
rw [φ.map_mul, alg_hom.map_mul, aeval_X, ih] }
end
end aeval
end comm_ring
section rename
variables {α} [comm_semiring α]
/-- Rename all the variables in a multivariable polynomial. -/
def rename (f : β → γ) : mv_polynomial β α → mv_polynomial γ α :=
eval₂ C (X ∘ f)
instance rename.is_semiring_hom (f : β → γ) :
is_semiring_hom (rename f : mv_polynomial β α → mv_polynomial γ α) :=
by unfold rename; apply_instance
@[simp] lemma rename_C (f : β → γ) (a : α) : rename f (C a) = C a :=
eval₂_C _ _ _
@[simp] lemma rename_X (f : β → γ) (b : β) : rename f (X b : mv_polynomial β α) = X (f b) :=
eval₂_X _ _ _
@[simp] lemma rename_zero (f : β → γ) :
rename f (0 : mv_polynomial β α) = 0 :=
eval₂_zero _ _
@[simp] lemma rename_one (f : β → γ) :
rename f (1 : mv_polynomial β α) = 1 :=
eval₂_one _ _
@[simp] lemma rename_add (f : β → γ) (p q : mv_polynomial β α) :
rename f (p + q) = rename f p + rename f q :=
eval₂_add _ _
@[simp] lemma rename_neg {α} [comm_ring α]
(f : β → γ) (p : mv_polynomial β α) :
rename f (-p) = -rename f p :=
eval₂_neg _ _ _
@[simp] lemma rename_sub {α} [comm_ring α]
(f : β → γ) (p q : mv_polynomial β α) :
rename f (p - q) = rename f p - rename f q :=
eval₂_sub _ _ _
@[simp] lemma rename_mul (f : β → γ) (p q : mv_polynomial β α) :
rename f (p * q) = rename f p * rename f q :=
eval₂_mul _ _
@[simp] lemma rename_pow (f : β → γ) (p : mv_polynomial β α) (n : ℕ) :
rename f (p^n) = (rename f p)^n :=
eval₂_pow _ _
lemma map_rename [comm_semiring β] (f : α → β) [is_semiring_hom f]
(g : γ → δ) (p : mv_polynomial γ α) :
map f (rename g p) = rename g (map f p) :=
mv_polynomial.induction_on p
(λ a, by simp)
(λ p q hp hq, by simp [hp, hq])
(λ p n hp, by simp [hp])
@[simp] lemma rename_rename (f : β → γ) (g : γ → δ) (p : mv_polynomial β α) :
rename g (rename f p) = rename (g ∘ f) p :=
show rename g (eval₂ C (X ∘ f) p) = _,
by simp only [eval₂_comp_left (rename g) C (X ∘ f) p, (∘), rename_C, rename_X]; refl
@[simp] lemma rename_id (p : mv_polynomial β α) : rename id p = p :=
eval₂_eta p
lemma rename_monomial (f : β → γ) (p : β →₀ ℕ) (a : α) :
rename f (monomial p a) = monomial (p.map_domain f) a :=
begin
rw [rename, eval₂_monomial, monomial_eq, finsupp.prod_map_domain_index],
{ exact assume n, pow_zero _ },
{ exact assume n i₁ i₂, pow_add _ _ _ }
end
lemma rename_eq (f : β → γ) (p : mv_polynomial β α) :
rename f p = finsupp.map_domain (finsupp.map_domain f) p :=
begin
simp only [rename, eval₂, finsupp.map_domain],
congr, ext s a : 2,
rw [← monomial, monomial_eq, finsupp.prod_sum_index],
congr, ext n i : 2,
rw [finsupp.prod_single_index],
exact pow_zero _,
exact assume a, pow_zero _,
exact assume a b c, pow_add _ _ _
end
lemma injective_rename (f : β → γ) (hf : function.injective f) :
function.injective (rename f : mv_polynomial β α → mv_polynomial γ α) :=
have (rename f : mv_polynomial β α → mv_polynomial γ α) =
finsupp.map_domain (finsupp.map_domain f) := funext (rename_eq f),
begin
rw this,
exact finsupp.injective_map_domain (finsupp.injective_map_domain hf)
end
lemma total_degree_rename_le (f : β → γ) (p : mv_polynomial β α) :
(p.rename f).total_degree ≤ p.total_degree :=
finset.sup_le $ assume b,
begin
assume h,
rw rename_eq at h,
have h' := finsupp.map_domain_support h,
rw finset.mem_image at h',
rcases h' with ⟨s, hs, rfl⟩,
rw finsupp.sum_map_domain_index,
exact le_trans (le_refl _) (finset.le_sup hs),
exact assume _, rfl,
exact assume _ _ _, rfl
end
section
variables [comm_semiring β] (f : α → β) [is_semiring_hom f]
variables (k : γ → δ) (g : δ → β) (p : mv_polynomial γ α)
lemma eval₂_rename : (p.rename k).eval₂ f g = p.eval₂ f (g ∘ k) :=
by apply mv_polynomial.induction_on p; { intros, simp [*] }
lemma rename_eval₂ (g : δ → mv_polynomial γ α) :
(p.eval₂ C (g ∘ k)).rename k = (p.rename k).eval₂ C (rename k ∘ g) :=
by apply mv_polynomial.induction_on p; { intros, simp [*] }
lemma rename_prodmk_eval₂ (d : δ) (g : γ → mv_polynomial γ α) :
(p.eval₂ C g).rename (prod.mk d) = p.eval₂ C (λ x, (g x).rename (prod.mk d)) :=
by apply mv_polynomial.induction_on p; { intros, simp [*] }
lemma eval₂_rename_prodmk (g : δ × γ → β) (d : δ) :
(rename (prod.mk d) p).eval₂ f g = eval₂ f (λ i, g (d, i)) p :=
by apply mv_polynomial.induction_on p; { intros, simp [*] }
lemma eval_rename_prodmk (g : δ × γ → α) (d : δ) :
(rename (prod.mk d) p).eval g = eval (λ i, g (d, i)) p :=
eval₂_rename_prodmk id _ _ _
end
/-- Every polynomial is a polynomial in finitely many variables. -/
theorem exists_finset_rename (p : mv_polynomial γ α) :
∃ (s : finset γ) (q : mv_polynomial {x // x ∈ s} α), p = q.rename coe :=
begin
apply induction_on p,
{ intro r, exact ⟨∅, C r, by rw rename_C⟩ },
{ rintro p q ⟨s, p, rfl⟩ ⟨t, q, rfl⟩,
refine ⟨s ∪ t, ⟨_, _⟩⟩,
{ exact rename (subtype.map id (finset.subset_union_left s t)) p +
rename (subtype.map id (finset.subset_union_right s t)) q },
{ rw [rename_add, rename_rename, rename_rename], refl } },
{ rintro p n ⟨s, p, rfl⟩,
refine ⟨insert n s, ⟨_, _⟩⟩,
{ exact rename (subtype.map id (finset.subset_insert n s)) p * X ⟨n, s.mem_insert_self n⟩ },
{ rw [rename_mul, rename_X, rename_rename], refl } }
end
/-- Every polynomial is a polynomial in finitely many variables. -/
theorem exists_fin_rename (p : mv_polynomial γ α) :
∃ (n : ℕ) (f : fin n → γ) (hf : injective f) (q : mv_polynomial (fin n) α), p = q.rename f :=
begin
obtain ⟨s, q, rfl⟩ := exists_finset_rename p,
obtain ⟨n, ⟨e⟩⟩ := fintype.exists_equiv_fin {x // x ∈ s},
refine ⟨n, coe ∘ e.symm, subtype.val_injective.comp e.symm.injective, q.rename e, _⟩,
rw [← rename_rename, rename_rename e],
simp only [function.comp, equiv.symm_apply_apply, rename_rename]
end
end rename
lemma eval₂_cast_comp {β : Type u} {γ : Type v} (f : γ → β)
{α : Type w} [comm_ring α] (c : ℤ → α) [is_ring_hom c] (g : β → α) (x : mv_polynomial γ ℤ) :
eval₂ c (g ∘ f) x = eval₂ c g (rename f x) :=
mv_polynomial.induction_on x
(λ n, by simp only [eval₂_C, rename_C])
(λ p q hp hq, by simp only [hp, hq, rename, eval₂_add])
(λ p n hp, by simp only [hp, rename, eval₂_X, eval₂_mul])
instance rename.is_ring_hom
{α} [comm_ring α] (f : β → γ) :
is_ring_hom (rename f : mv_polynomial β α → mv_polynomial γ α) :=
@is_ring_hom.of_semiring (mv_polynomial β α) (mv_polynomial γ α) _ _ (rename f)
(rename.is_semiring_hom f)
section equiv
variables (α) [comm_semiring α]
/-- The ring isomorphism between multivariable polynomials in no variables and the ground ring. -/
def pempty_ring_equiv : mv_polynomial pempty α ≃+* α :=
{ to_fun := mv_polynomial.eval₂ id $ pempty.elim,
inv_fun := C,
left_inv := is_id _ (by apply_instance) (assume a, by rw [eval₂_C]; refl) (assume a, a.elim),
right_inv := λ r, eval₂_C _ _ _,
map_mul' := λ _ _, eval₂_mul _ _,
map_add' := λ _ _, eval₂_add _ _ }
/--
The ring isomorphism between multivariable polynomials in a single variable and
polynomials over the ground ring.
-/
def punit_ring_equiv : mv_polynomial punit α ≃+* polynomial α :=
{ to_fun := eval₂ polynomial.C (λu:punit, polynomial.X),
inv_fun := polynomial.eval₂ mv_polynomial.C (X punit.star),
left_inv :=
begin
refine is_id _ _ _ _,
apply is_semiring_hom.comp (eval₂ polynomial.C (λu:punit, polynomial.X)) _; apply_instance,
{ assume a, rw [eval₂_C, polynomial.eval₂_C] },
{ rintros ⟨⟩, rw [eval₂_X, polynomial.eval₂_X] }
end,
right_inv := assume p, polynomial.induction_on p
(assume a, by rw [polynomial.eval₂_C, mv_polynomial.eval₂_C])
(assume p q hp hq, by rw [polynomial.eval₂_add, mv_polynomial.eval₂_add, hp, hq])
(assume p n hp,
by rw [polynomial.eval₂_mul, polynomial.eval₂_pow, polynomial.eval₂_X, polynomial.eval₂_C,
eval₂_mul, eval₂_C, eval₂_pow, eval₂_X]),
map_mul' := λ _ _, eval₂_mul _ _,
map_add' := λ _ _, eval₂_add _ _ }
/-- The ring isomorphism between multivariable polynomials induced by an equivalence of the variables. -/
def ring_equiv_of_equiv (e : β ≃ γ) : mv_polynomial β α ≃+* mv_polynomial γ α :=
{ to_fun := rename e,
inv_fun := rename e.symm,
left_inv := λ p, by simp only [rename_rename, (∘), e.symm_apply_apply]; exact rename_id p,
right_inv := λ p, by simp only [rename_rename, (∘), e.apply_symm_apply]; exact rename_id p,
map_mul' := rename_mul e,
map_add' := rename_add e }
/-- The ring isomorphism between multivariable polynomials induced by a ring isomorphism of the ground ring. -/
def ring_equiv_congr [comm_semiring γ] (e : α ≃+* γ) : mv_polynomial β α ≃+* mv_polynomial β γ :=
{ to_fun := map e,
inv_fun := map e.symm,
left_inv := assume p,
have (e.symm ∘ e) = id,
{ ext a, exact e.symm_apply_apply a },
by simp only [map_map, this, map_id],
right_inv := assume p,
have (e ∘ e.symm) = id,
{ ext a, exact e.apply_symm_apply a },
by simp only [map_map, this, map_id],
map_mul' := map_mul _,
map_add' := map_add _ }
section
variables (β γ δ)
/--
The function from multivariable polynomials in a sum of two types,
to multivariable polynomials in one of the types,
with coefficents in multivariable polynomials in the other type.
See `sum_ring_equiv` for the ring isomorphism.
-/
def sum_to_iter : mv_polynomial (β ⊕ γ) α → mv_polynomial β (mv_polynomial γ α) :=
eval₂ (C ∘ C) (λbc, sum.rec_on bc X (C ∘ X))
instance is_semiring_hom_C_C :
is_semiring_hom (C ∘ C : α → mv_polynomial β (mv_polynomial γ α)) :=
@is_semiring_hom.comp _ _ _ _ C mv_polynomial.is_semiring_hom _ _ C mv_polynomial.is_semiring_hom
instance is_semiring_hom_sum_to_iter : is_semiring_hom (sum_to_iter α β γ) :=
eval₂.is_semiring_hom _ _
lemma sum_to_iter_C (a : α) : sum_to_iter α β γ (C a) = C (C a) :=
eval₂_C _ _ a
lemma sum_to_iter_Xl (b : β) : sum_to_iter α β γ (X (sum.inl b)) = X b :=
eval₂_X _ _ (sum.inl b)
lemma sum_to_iter_Xr (c : γ) : sum_to_iter α β γ (X (sum.inr c)) = C (X c) :=
eval₂_X _ _ (sum.inr c)
/--
The function from multivariable polynomials in one type,
with coefficents in multivariable polynomials in another type,
to multivariable polynomials in the sum of the two types.
See `sum_ring_equiv` for the ring isomorphism.
-/
def iter_to_sum : mv_polynomial β (mv_polynomial γ α) → mv_polynomial (β ⊕ γ) α :=
eval₂ (eval₂ C (X ∘ sum.inr)) (X ∘ sum.inl)
instance is_semiring_hom_iter_to_sum : is_semiring_hom (iter_to_sum α β γ) :=
eval₂.is_semiring_hom _ _
lemma iter_to_sum_C_C (a : α) : iter_to_sum α β γ (C (C a)) = C a :=
eq.trans (eval₂_C _ _ (C a)) (eval₂_C _ _ _)
lemma iter_to_sum_X (b : β) : iter_to_sum α β γ (X b) = X (sum.inl b) :=
eval₂_X _ _ _
lemma iter_to_sum_C_X (c : γ) : iter_to_sum α β γ (C (X c)) = X (sum.inr c) :=
eq.trans (eval₂_C _ _ (X c)) (eval₂_X _ _ _)
/-- A helper function for `sum_ring_equiv`. -/
def mv_polynomial_equiv_mv_polynomial [comm_semiring δ]
(f : mv_polynomial β α → mv_polynomial γ δ) (hf : is_semiring_hom f)
(g : mv_polynomial γ δ → mv_polynomial β α) (hg : is_semiring_hom g)
(hfgC : ∀a, f (g (C a)) = C a)
(hfgX : ∀n, f (g (X n)) = X n)
(hgfC : ∀a, g (f (C a)) = C a)
(hgfX : ∀n, g (f (X n)) = X n) :
mv_polynomial β α ≃+* mv_polynomial γ δ :=
{ to_fun := f, inv_fun := g,
left_inv := is_id _ (is_semiring_hom.comp _ _) hgfC hgfX,
right_inv := is_id _ (is_semiring_hom.comp _ _) hfgC hfgX,
map_mul' := hf.map_mul,
map_add' := hf.map_add }
/--
The ring isomorphism between multivariable polynomials in a sum of two types,
and multivariable polynomials in one of the types,
with coefficents in multivariable polynomials in the other type.
-/
def sum_ring_equiv : mv_polynomial (β ⊕ γ) α ≃+* mv_polynomial β (mv_polynomial γ α) :=
begin
apply @mv_polynomial_equiv_mv_polynomial α (β ⊕ γ) _ _ _ _
(sum_to_iter α β γ) _ (iter_to_sum α β γ) _,
{ assume p,
apply hom_eq_hom _ _ _ _ _ _ p,
apply_instance,
{ apply @is_semiring_hom.comp _ _ _ _ _ _ _ _ _ _,
apply_instance,
apply @is_semiring_hom.comp _ _ _ _ _ _ _ _ _ _,
apply_instance,
{ apply @mv_polynomial.is_semiring_hom },
{ apply mv_polynomial.is_semiring_hom_iter_to_sum α β γ },
{ apply mv_polynomial.is_semiring_hom_sum_to_iter α β γ } },
{ apply mv_polynomial.is_semiring_hom },
{ assume a, rw [iter_to_sum_C_C α β γ, sum_to_iter_C α β γ] },
{ assume c, rw [iter_to_sum_C_X α β γ, sum_to_iter_Xr α β γ] } },
{ assume b, rw [iter_to_sum_X α β γ, sum_to_iter_Xl α β γ] },
{ assume a, rw [sum_to_iter_C α β γ, iter_to_sum_C_C α β γ] },
{ assume n, cases n with b c,
{ rw [sum_to_iter_Xl, iter_to_sum_X] },
{ rw [sum_to_iter_Xr, iter_to_sum_C_X] } },
{ apply mv_polynomial.is_semiring_hom_sum_to_iter α β γ },
{ apply mv_polynomial.is_semiring_hom_iter_to_sum α β γ }
end
/--
The ring isomorphism between multivariable polynomials in `option β` and
polynomials with coefficients in `mv_polynomial β α`.
-/
def option_equiv_left : mv_polynomial (option β) α ≃+* polynomial (mv_polynomial β α) :=
(ring_equiv_of_equiv α $ (equiv.option_equiv_sum_punit β).trans (equiv.sum_comm _ _)).trans $
(sum_ring_equiv α _ _).trans $
punit_ring_equiv _
/--
The ring isomorphism between multivariable polynomials in `option β` and
multivariable polynomials with coefficients in polynomials.
-/
def option_equiv_right : mv_polynomial (option β) α ≃+* mv_polynomial β (polynomial α) :=
(ring_equiv_of_equiv α $ equiv.option_equiv_sum_punit.{0} β).trans $
(sum_ring_equiv α β unit).trans $
ring_equiv_congr (mv_polynomial unit α) (punit_ring_equiv α)
/--
The ring isomorphism between multivariable polynomials in `fin (n + 1)` and
polynomials over multivariable polynomials in `fin n`.
-/
def fin_succ_equiv (n : ℕ) :
mv_polynomial (fin (n + 1)) α ≃+* polynomial (mv_polynomial (fin n) α) :=
(ring_equiv_of_equiv α (fin_succ_equiv n)).trans
(option_equiv_left α (fin n))
end
end equiv
/-!
## Partial derivatives
-/
section pderivative
variables {R : Type} [comm_ring R]
variable {S : Type}
/-- `pderivative v p` is the partial derivative of `p` with respect to `v` -/
def pderivative (v : S) (p : mv_polynomial S R) : mv_polynomial S R :=
p.sum (λ A B, monomial (A - single v 1) (B * (A v)))
@[simp]
lemma pderivative_add {v : S} {f g : mv_polynomial S R} :
pderivative v (f + g) = pderivative v f + pderivative v g :=
begin
refine sum_add_index _ _,
{ simp },
simp [add_mul],
end
@[simp]
lemma pderivative_monomial {v : S} {u : S →₀ ℕ} {a : R} :
pderivative v (monomial u a) = monomial (u - single v 1) (a * (u v)) :=
by simp [pderivative]
@[simp]
lemma pderivative_C {v : S} {a : R} : pderivative v (C a) = 0 :=
suffices pderivative v (monomial 0 a) = 0, by simpa,
by simp
@[simp]
lemma pderivative_zero {v : S} : pderivative v (0 : mv_polynomial S R) = 0 :=
suffices pderivative v (C 0 : mv_polynomial S R) = 0, by simpa,
show pderivative v (C 0 : mv_polynomial S R) = 0, from pderivative_C
section
variables (R)
/-- `pderivative : S → mv_polynomial S R → mv_polynomial S R` as an `add_monoid_hom` -/
def pderivative.add_monoid_hom (v : S) : mv_polynomial S R →+ mv_polynomial S R :=
{ to_fun := pderivative v,
map_zero' := pderivative_zero,
map_add' := λ x y, pderivative_add, }
@[simp]
lemma pderivative.add_monoid_hom_apply (v : S) (p : mv_polynomial S R) :
(pderivative.add_monoid_hom R v) p = pderivative v p :=
rfl
end
lemma pderivative_eq_zero_of_not_mem_vars {v : S} {f : mv_polynomial S R} (h : v ∉ f.vars) :
pderivative v f = 0 :=
begin
change (pderivative.add_monoid_hom R v) f = 0,
rw [f.as_sum, add_monoid_hom.map_sum],
apply finset.sum_eq_zero,
intros,
simp [mem_support_not_mem_vars_zero H h],
end
lemma pderivative_monomial_single {a : R} {v : S} {n : ℕ} :
pderivative v (monomial (single v n) a) = monomial (single v (n-1)) (a * n) :=
by simp
private lemma monomial_sub_single_one_add {v : S} {u u' : S →₀ ℕ} {r r' : R} :
monomial (u - single v 1 + u') (r * (u v) * r') =
monomial (u + u' - single v 1) (r * (u v) * r') :=
by by_cases h : u v = 0; simp [h, sub_single_one_add]
private lemma monomial_add_sub_single_one {v : S} {u u' : S →₀ ℕ} {r r' : R} :
monomial (u + (u' - single v 1)) (r * (r' * (u' v))) =
monomial (u + u' - single v 1) (r * (r' * (u' v))) :=
by by_cases h : u' v = 0; simp [h, add_sub_single_one]
lemma pderivative_monomial_mul {v : S} {u u' : S →₀ ℕ} {r r' : R} :
pderivative v (monomial u r * monomial u' r') =
pderivative v (monomial u r) * monomial u' r' + monomial u r * pderivative v (monomial u' r') :=
begin
simp [monomial_sub_single_one_add, monomial_add_sub_single_one],
congr,
ring,
end
@[simp]
lemma pderivative_mul {v : S} {f g : mv_polynomial S R} :
pderivative v (f * g) = pderivative v f * g + f * pderivative v g :=
begin
apply induction_on' f,
{ apply induction_on' g,
{ intros u r u' r', exact pderivative_monomial_mul },
{ intros p q hp hq u r,
rw [mul_add, pderivative_add, hp, hq, mul_add, pderivative_add],
ring } },
{ intros p q hp hq,
simp [add_mul, hp, hq],
ring, }
end
@[simp]
lemma pderivative_C_mul {a : R} {f : mv_polynomial S R} {v : S} :
pderivative v (C a * f) = C a * pderivative v f :=
by rw [pderivative_mul, pderivative_C, zero_mul, zero_add]
end pderivative
end mv_polynomial
|
9681c4e5a5e649db6b2df3e13350468f965be7ba | d7189ea2ef694124821b033e533f18905b5e87ef | /galois/temporal/first.lean | 5dd28ade2b4299b8b05e760df2111079e6f8d772 | [
"Apache-2.0"
] | permissive | digama0/lean-protocol-support | eaa7e6f8b8e0d5bbfff1f7f52bfb79a3b11b0f59 | cabfa3abedbdd6fdca6e2da6fbbf91a13ed48dda | refs/heads/master | 1,625,421,450,627 | 1,506,035,462,000 | 1,506,035,462,000 | null | 0 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 1,493 | lean | /- Lemmas allowing for finding the first time that something eventual happens, when the thing is decidable -/
import .temporal
import galois.list
import galois.nat
universes u v w
protected
def decide (P : Prop) [decidable P] : decidable P := by apply_instance
lemma first_seq (P : ℕ → Prop) [decidable_pred P] (n : ℕ) (Pn : P n)
: ∃ n' : ℕ, P n' ∧ (∀ k : ℕ, k < n' → ¬ (P k))
:= begin
revert P,
induction n; intros,
{ existsi 0, split, assumption,
intros, intros contra,
exact nat.not_lt_zero k a,
},
{ have H := ih_1 (λ i, P i.succ) _,
{ cases (decide (P 0)),
{ induction H with z Pz,
induction Pz with Pz Pz',
existsi (nat.succ z), split, assumption,
intros, simp at Pz', cases k, assumption,
apply Pz', apply nat.lt_of_succ_lt_succ, assumption,
},
{ existsi 0, split, assumption,
intros, intros contra,
exact nat.not_lt_zero k a_2,
},
},
{ assumption }
}
end
namespace temporal
open list
/-- If P is decidable and eventually holds, we can find the first time
that it holds.
-/
lemma eventually_first_dec {T: Type u} (P : tProp T) [decidable_pred P] :
⊩ ◇ P => first P :=
begin
intros tr evP, induction evP with k Pk,
apply (first_seq (λ n, nextn n P tr) k Pk),
end
lemma fair_first_dec {T: Type u} (P : tProp T) [decidable_pred P] :
⊩ fair P => □ (first P)
:= begin
unfold fair, apply always_tImp,
apply (always_tautology (◇ P=>first P)),
apply eventually_first_dec
end
end temporal |
61df7a2696a93beae87de9fb2f8191f6baea1ad2 | 9dc8cecdf3c4634764a18254e94d43da07142918 | /src/category_theory/localization/construction.lean | 7e86810b73ce34a3f2114ed67ad1ad0a1f513a41 | [
"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 | 11,717 | lean | /-
Copyright (c) 2022 Joël Riou. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Joël Riou
-/
import category_theory.morphism_property
import category_theory.category.Quiv
/-!
# Construction of the localized category
This file constructs the localized category, obtained by formally inverting
a class of maps `W : morphism_property C` in a category `C`.
We first construct a quiver `loc_quiver W` whose objects are the same as those
of `C` and whose maps are the maps in `C` and placeholders for the formal
inverses of the maps in `W`.
The localized category `W.localization` is obtained by taking the quotient
of the path category of `loc_quiver W` by the congruence generated by four
types of relations.
The obvious functor `Q W : C ⥤ W.localization` satisfies the universal property
of the localization. Indeed, if `G : C ⥤ D` sends morphisms in `W` to isomorphisms
in `D` (i.e. we have `hG : W.is_inverted_by G`), then there exists a unique functor
`G' : W.localization ⥤ D` such that `Q W ≫ G' = G`. This `G'` is `lift G hG`.
The expected property of `lift G hG` if expressed by the lemma `fac` and the
uniqueness is expressed by `uniq`.
TODO:
1) show that for any category `E`, the composition of functors gives
an equivalence of categories between `W.localization ⥤ E` and the full
subcategory of `C ⥤ E` consisting of functors inverting `W`. (This only
requires an extension property for natural transformations of functors.)
2) define a predicate `is_localization L W` for a functor `L : C ⥤ D` and
a class of morphisms `W` in `C` expressing that it is a localization with respect
to `W`, i.e. that it inverts `W` and that the obvious functor `W.localization ⥤ D`
induced by `L` is an equivalence of categories. (It is more straightforward
to define this predicate this way rather than by using a universal property which
may imply attempting at quantifying on all universes.)
3) implement a constructor for `is_localization L W` which would take
as an input a *strict* universal property (`lift`/`fac`/`uniq`) similar to
what is obtained here for `W.localization`. (Practically speaking, this is
the easiest way to show that a functor is a localization.)
4) when we have `is_localization L W`, then show that `D ⥤ E` identifies
to the full subcategory of `C ⥤ E` consisting of `W`-inverting functors.
5) provide an API for the lifting of functors `C ⥤ E`, for which
`fac`/`uniq` assertions would be expressed as isomorphisms rather than
by equalities of functors.
## References
* [P. Gabriel, M. Zisman, *Calculus of fractions and homotopy theory*][gabriel-zisman-1967]
-/
noncomputable theory
open category_theory.category
namespace category_theory
variables {C D : Type*} [category C] [category D] (W : morphism_property C)
namespace localization
namespace construction
/-- If `W : morphism_property C`, `loc_quiver W` is a quiver with the same objects
as `C`, and whose morphisms are those in `C` and placeholders for formal
inverses of the morphisms in `W`. -/
@[nolint has_nonempty_instance]
structure loc_quiver (W : morphism_property C) := (obj : C)
instance : quiver (loc_quiver W) :=
{ hom := λ A B, (A.obj ⟶ B.obj) ⊕ { f : B.obj ⟶ A.obj // W f} }
/-- The object in the path category of `loc_quiver W` attached to an object in
the category `C` -/
def ι_paths (X : C) : paths (loc_quiver W) := ⟨X⟩
/-- The morphism in the path category associated to a morphism in the original category. -/
@[simp]
def ψ₁ {X Y : C} (f : X ⟶ Y) : ι_paths W X ⟶ ι_paths W Y := paths.of.map (sum.inl f)
/-- The morphism in the path category corresponding to a formal inverse. -/
@[simp]
def ψ₂ {X Y : C} (w : X ⟶ Y) (hw : W w) : ι_paths W Y ⟶ ι_paths W X :=
paths.of.map (sum.inr ⟨w, hw⟩)
/-- The relations by which we take the quotient in order to get the localized category. -/
inductive relations : hom_rel (paths (loc_quiver W))
| id (X : C) :
relations (ψ₁ W (𝟙 X)) (𝟙 _)
| comp {X Y Z : C} (f : X ⟶ Y) (g : Y ⟶ Z) :
relations (ψ₁ W (f ≫ g)) (ψ₁ W f ≫ ψ₁ W g)
| Winv₁ {X Y : C} (w : X ⟶ Y) (hw : W w) :
relations (ψ₁ W w ≫ ψ₂ W w hw) (𝟙 _)
| Winv₂ {X Y : C} (w : X ⟶ Y) (hw : W w) :
relations (ψ₂ W w hw ≫ ψ₁ W w) (𝟙 _)
end construction
end localization
namespace morphism_property
open localization.construction
/-- The localized category obtained by formally inverting the morphisms
in `W : morphism_property C` -/
@[derive category, nolint has_nonempty_instance]
def localization := category_theory.quotient (localization.construction.relations W)
/-- The obvious functor `C ⥤ W.localization` -/
def Q : C ⥤ W.localization :=
{ obj := λ X, (quotient.functor _).obj (paths.of.obj ⟨X⟩),
map := λ X Y f, (quotient.functor _).map (ψ₁ W f),
map_id' := λ X, quotient.sound _ (relations.id X),
map_comp' := λ X Z Y f g, quotient.sound _ (relations.comp f g), }
end morphism_property
namespace localization
namespace construction
variable {W}
/-- The isomorphism in `W.localization` associated to a morphism `w` in W -/
def Wiso {X Y : C} (w : X ⟶ Y) (hw : W w) : iso (W.Q.obj X) (W.Q.obj Y) :=
{ hom := W.Q.map w,
inv := (quotient.functor _).map (paths.of.map (sum.inr ⟨w, hw⟩)),
hom_inv_id' := quotient.sound _ (relations.Winv₁ w hw),
inv_hom_id' := quotient.sound _ (relations.Winv₂ w hw), }
/-- The formal inverse in `W.localization` of a morphism `w` in `W`. -/
abbreviation Winv {X Y : C} (w : X ⟶ Y) (hw : W w) := (Wiso w hw).inv
end construction
end localization
namespace localization
namespace construction
variables {W} (G : C ⥤ D) (hG : W.is_inverted_by G)
include G hG
/-- The lifting of a functor to the path category of `loc_quiver W` -/
@[simps]
def lift_to_path_category : paths (loc_quiver W) ⥤ D :=
Quiv.lift
{ obj := λ X, G.obj X.obj,
map := λ X Y, begin
rintro (f|⟨g, hg⟩),
{ exact G.map f, },
{ haveI := hG g hg,
exact inv (G.map g), },
end, }
/-- The lifting of a functor `C ⥤ D` inverting `W` as a functor `W.localization ⥤ D` -/
@[simps]
def lift : W.localization ⥤ D :=
quotient.lift (relations W) (lift_to_path_category G hG)
begin
rintro ⟨X⟩ ⟨Y⟩ f₁ f₂ r,
rcases r,
tidy,
end
@[simp]
lemma fac : W.Q ⋙ lift G hG = G :=
functor.ext (λ X, rfl)
begin
intros X Y f,
simp only [functor.comp_map, eq_to_hom_refl, comp_id, id_comp],
dsimp [lift, lift_to_path_category, morphism_property.Q],
rw compose_path_to_path,
end
omit G hG
lemma uniq (G₁ G₂ : W.localization ⥤ D) (h : W.Q ⋙ G₁ = W.Q ⋙ G₂) :
G₁ = G₂ :=
begin
suffices h' : quotient.functor _ ⋙ G₁ = quotient.functor _ ⋙ G₂,
{ refine functor.ext _ _,
{ rintro ⟨⟨X⟩⟩,
apply functor.congr_obj h, },
{ rintros ⟨⟨X⟩⟩ ⟨⟨Y⟩⟩ ⟨f⟩,
apply functor.congr_hom h', }, },
{ refine paths.ext_functor _ _,
{ ext X,
cases X,
apply functor.congr_obj h, },
{ rintro ⟨X⟩ ⟨Y⟩ (f|⟨w, hw⟩),
{ simpa only using functor.congr_hom h f, },
{ have hw : W.Q.map w = (Wiso w hw).hom := rfl,
have hw' := functor.congr_hom h w,
simp only [functor.comp_map, hw] at hw',
refine functor.congr_inv_of_congr_hom _ _ _ _ _ hw',
all_goals
{ apply functor.congr_obj h, }, }, }, },
end
variable (W)
/-- The canonical bijection between objects in a category and its
localization with respect to a morphism_property `W` -/
@[simps]
def obj_equiv : C ≃ W.localization :=
{ to_fun := W.Q.obj,
inv_fun := λ X, X.as.obj,
left_inv := λ X, rfl,
right_inv := by { rintro ⟨⟨X⟩⟩, refl, }, }
variable {W}
/-- A `morphism_property` in `W.localization` is satisfied by all
morphisms in the localized category if it contains the image of the
morphisms in the original category, the inverses of the morphisms
in `W` and if it is stable under composition -/
lemma morphism_property_is_top
(P : morphism_property W.localization)
(hP₁ : ∀ ⦃X Y : C⦄ (f : X ⟶ Y), P (W.Q.map f))
(hP₂ : ∀ ⦃X Y : C⦄ (w : X ⟶ Y) (hw : W w), P (Winv w hw))
(hP₃ : P.stable_under_composition) : P = ⊤ :=
begin
ext X Y f,
split,
{ intro hf,
simp only [pi.top_apply], },
{ intro hf, clear hf,
let G : _ ⥤ W.localization := quotient.functor _,
suffices : ∀ (X₁ X₂ : C) (p : localization.construction.ι_paths W X₁ ⟶
localization.construction.ι_paths W X₂), P (G.map p),
{ rcases X with ⟨⟨X⟩⟩,
rcases Y with ⟨⟨Y⟩⟩,
simpa only [functor.image_preimage] using this _ _ (G.preimage f), },
intros X₁ X₂ p,
induction p with X₂ X₃ p g hp,
{ simpa only [functor.map_id] using hP₁ (𝟙 X₁), },
{ cases X₂,
cases X₃,
let p' : ι_paths W X₁ ⟶ ι_paths W X₂ := p,
rw [show p.cons g = p' ≫ quiver.hom.to_path g, by refl, G.map_comp],
refine hP₃ _ _ hp _,
rcases g with (g | ⟨g, hg⟩),
{ apply hP₁, },
{ apply hP₂, }, }, },
end
/-- A `morphism_property` in `W.localization` is satisfied by all
morphisms in the localized category if it contains the image of the
morphisms in the original category, if is stable under composition
and if the property is stable by passing to inverses. -/
lemma morphism_property_is_top'
(P : morphism_property W.localization)
(hP₁ : ∀ ⦃X Y : C⦄ (f : X ⟶ Y), P (W.Q.map f))
(hP₂ : ∀ ⦃X Y : W.localization⦄ (e : X ≅ Y) (he : P e.hom), P e.inv)
(hP₃ : P.stable_under_composition) : P = ⊤ :=
morphism_property_is_top P hP₁ (λ X Y w hw, hP₂ _ (by exact hP₁ w)) hP₃
namespace nat_trans_extension
variables {F₁ F₂ : W.localization ⥤ D} (τ : W.Q ⋙ F₁ ⟶ W.Q ⋙ F₂)
include τ
/-- If `F₁` and `F₂` are functors `W.localization ⥤ D` and if we have
`τ : W.Q ⋙ F₁ ⟶ W.Q ⋙ F₂`, we shall define a natural transformation `F₁ ⟶ F₂`.
This is the `app` field of this natural transformation. -/
def app (X : W.localization) : F₁.obj X ⟶ F₂.obj X :=
eq_to_hom (congr_arg F₁.obj ((obj_equiv W).right_inv X).symm) ≫
τ.app ((obj_equiv W).inv_fun X) ≫ eq_to_hom (congr_arg F₂.obj ((obj_equiv W).right_inv X))
@[simp]
lemma app_eq (X : C) : (app τ) (W.Q.obj X) = τ.app X :=
by simpa only [app, eq_to_hom_refl, comp_id, id_comp]
end nat_trans_extension
/-- If `F₁` and `F₂` are functors `W.localization ⥤ D`, a natural transformation `F₁ ⟶ F₂`
can be obtained from a natural transformation `W.Q ⋙ F₁ ⟶ W.Q ⋙ F₂`. -/
@[simps]
def nat_trans_extension {F₁ F₂ : W.localization ⥤ D} (τ : W.Q ⋙ F₁ ⟶ W.Q ⋙ F₂) :
F₁ ⟶ F₂ :=
{ app := nat_trans_extension.app τ,
naturality' := λ X Y f, begin
have h := morphism_property_is_top'
(morphism_property.naturality_property (nat_trans_extension.app τ)) _
(morphism_property.naturality_property.is_stable_under_inverse _)
(morphism_property.naturality_property.is_stable_under_composition _), swap,
{ intros X Y f,
simpa only [morphism_property.naturality_property, nat_trans_extension.app_eq]
using τ.naturality f, },
have hf : (⊤ : morphism_property _) f := by simp only [pi.top_apply],
simpa only [← h] using hf,
end, }
@[simp]
lemma nat_trans_extension_hcomp {F G : W.localization ⥤ D} (τ : W.Q ⋙ F ⟶ W.Q ⋙ G) :
(𝟙 W.Q) ◫ nat_trans_extension τ = τ :=
begin
ext X,
simp only [nat_trans.hcomp_app, nat_trans.id_app, G.map_id, comp_id,
nat_trans_extension_app, nat_trans_extension.app_eq],
end
end construction
end localization
end category_theory
|
0d806bd7857e2fdc8970f7e5599943afc1f1a273 | 46125763b4dbf50619e8846a1371029346f4c3db | /src/algebra/order_functions.lean | fc45b5f4746cec38a049c6da3ca263b44899db48 | [
"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 | 13,213 | lean | /-
Copyright (c) 2017 Mario Carneiro. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Mario Carneiro
-/
import algebra.ordered_group order.lattice
open lattice
universes u v
variables {α : Type u} {β : Type v}
attribute [simp] max_eq_left max_eq_right min_eq_left min_eq_right
/-- A function `f` is strictly monotone if `a < b` implies `f a < f b`. -/
def strict_mono [has_lt α] [has_lt β] (f : α → β) : Prop :=
∀ ⦃a b⦄, a < b → f a < f b
namespace strict_mono
open ordering function
section
variables [linear_order α] [preorder β] {f : α → β}
lemma lt_iff_lt (H : strict_mono f) {a b} :
f a < f b ↔ a < b :=
⟨λ h, ((lt_trichotomy b a)
.resolve_left $ λ h', lt_asymm h $ H h')
.resolve_left $ λ e, ne_of_gt h $ congr_arg _ e, @H _ _⟩
lemma injective (H : strict_mono f) : injective f
| a b e := ((lt_trichotomy a b)
.resolve_left $ λ h, ne_of_lt (H h) e)
.resolve_right $ λ h, ne_of_gt (H h) e
theorem compares (H : strict_mono f) {a b} :
∀ {o}, compares o (f a) (f b) ↔ compares o a b
| lt := H.lt_iff_lt
| eq := ⟨λ h, H.injective h, congr_arg _⟩
| gt := H.lt_iff_lt
lemma le_iff_le (H : strict_mono f) {a b} :
f a ≤ f b ↔ a ≤ b :=
⟨λ h, le_of_not_gt $ λ h', not_le_of_lt (H h') h,
λ h, (lt_or_eq_of_le h).elim (λ h', le_of_lt (H h')) (λ h', h' ▸ le_refl _)⟩
end
protected lemma nat {β} [preorder β] {f : ℕ → β} (h : ∀n, f n < f (n+1)) : strict_mono f :=
by { intros n m hnm, induction hnm with m' hnm' ih, apply h, exact lt.trans ih (h _) }
-- `preorder α` isn't strong enough: if the preorder on α is an equivalence relation,
-- then `strict_mono f` is vacuously true.
lemma monotone [partial_order α] [preorder β] {f : α → β} (H : strict_mono f) : monotone f :=
λ a b h, (lt_or_eq_of_le h).rec (le_of_lt ∘ (@H _ _)) (by rintro rfl; refl)
end strict_mono
section
open function
variables [partial_order α] [partial_order β] {f : α → β}
lemma strict_mono_of_monotone_of_injective (h₁ : monotone f) (h₂ : injective f) :
strict_mono f :=
λ a b h,
begin
rw lt_iff_le_and_ne at ⊢ h,
exact ⟨h₁ h.1, λ e, h.2 (h₂ e)⟩
end
end
section
variables [decidable_linear_order α] [decidable_linear_order β] {f : α → β} {a b c d : α}
-- translate from lattices to linear orders (sup → max, inf → min)
@[simp] lemma le_min_iff : c ≤ min a b ↔ c ≤ a ∧ c ≤ b := le_inf_iff
@[simp] lemma max_le_iff : max a b ≤ c ↔ a ≤ c ∧ b ≤ c := sup_le_iff
lemma max_le_max : a ≤ c → b ≤ d → max a b ≤ max c d := sup_le_sup
lemma min_le_min : a ≤ c → b ≤ d → min a b ≤ min c d := inf_le_inf
lemma le_max_left_of_le : a ≤ b → a ≤ max b c := le_sup_left_of_le
lemma le_max_right_of_le : a ≤ c → a ≤ max b c := le_sup_right_of_le
lemma min_le_left_of_le : a ≤ c → min a b ≤ c := inf_le_left_of_le
lemma min_le_right_of_le : b ≤ c → min a b ≤ c := inf_le_right_of_le
lemma max_min_distrib_left : max a (min b c) = min (max a b) (max a c) := sup_inf_left
lemma max_min_distrib_right : max (min a b) c = min (max a c) (max b c) := sup_inf_right
lemma min_max_distrib_left : min a (max b c) = max (min a b) (min a c) := inf_sup_left
lemma min_max_distrib_right : min (max a b) c = max (min a c) (min b c) := inf_sup_right
lemma min_le_max : min a b ≤ max a b := le_trans (min_le_left a b) (le_max_left a b)
instance max_idem : is_idempotent α max := by apply_instance -- short-circuit type class inference
instance min_idem : is_idempotent α min := by apply_instance -- short-circuit type class inference
@[simp] lemma min_le_iff : min a b ≤ c ↔ a ≤ c ∨ b ≤ c :=
have a ≤ b → (a ≤ c ∨ b ≤ c ↔ a ≤ c),
from assume h, or_iff_left_of_imp $ le_trans h,
have b ≤ a → (a ≤ c ∨ b ≤ c ↔ b ≤ c),
from assume h, or_iff_right_of_imp $ le_trans h,
by cases le_total a b; simp *
@[simp] lemma le_max_iff : a ≤ max b c ↔ a ≤ b ∨ a ≤ c :=
have b ≤ c → (a ≤ b ∨ a ≤ c ↔ a ≤ c),
from assume h, or_iff_right_of_imp $ assume h', le_trans h' h,
have c ≤ b → (a ≤ b ∨ a ≤ c ↔ a ≤ b),
from assume h, or_iff_left_of_imp $ assume h', le_trans h' h,
by cases le_total b c; simp *
@[simp] lemma max_lt_iff : max a b < c ↔ (a < c ∧ b < c) :=
by rw [lt_iff_not_ge]; simp [(≥), le_max_iff, not_or_distrib]
@[simp] lemma lt_min_iff : a < min b c ↔ (a < b ∧ a < c) :=
by rw [lt_iff_not_ge]; simp [(≥), min_le_iff, not_or_distrib]
@[simp] lemma lt_max_iff : a < max b c ↔ a < b ∨ a < c :=
by rw [lt_iff_not_ge]; simp [(≥), max_le_iff, not_and_distrib]
@[simp] lemma min_lt_iff : min a b < c ↔ a < c ∨ b < c :=
by rw [lt_iff_not_ge]; simp [(≥), le_min_iff, not_and_distrib]
lemma max_lt_max (h₁ : a < c) (h₂ : b < d) : max a b < max c d :=
by apply max_lt; simp [lt_max_iff, h₁, h₂]
lemma min_lt_min (h₁ : a < c) (h₂ : b < d) : min a b < min c d :=
by apply lt_min; simp [min_lt_iff, h₁, h₂]
theorem min_right_comm (a b c : α) : min (min a b) c = min (min a c) b :=
right_comm min min_comm min_assoc a b c
theorem max.left_comm (a b c : α) : max a (max b c) = max b (max a c) :=
left_comm max max_comm max_assoc a b c
theorem max.right_comm (a b c : α) : max (max a b) c = max (max a c) b :=
right_comm max max_comm max_assoc a b c
lemma monotone.map_max (hf : monotone f) : f (max a b) = max (f a) (f b) :=
by cases le_total a b; simp [h, hf h]
lemma monotone.map_min (hf : monotone f) : f (min a b) = min (f a) (f b) :=
by cases le_total a b; simp [h, hf h]
theorem min_choice (a b : α) : min a b = a ∨ min a b = b :=
by by_cases h : a ≤ b; simp [min, h]
theorem max_choice (a b : α) : max a b = a ∨ max a b = b :=
by by_cases h : a ≤ b; simp [max, h]
lemma le_of_max_le_left {a b c : α} (h : max a b ≤ c) : a ≤ c :=
le_trans (le_max_left _ _) h
lemma le_of_max_le_right {a b c : α} (h : max a b ≤ c) : b ≤ c :=
le_trans (le_max_right _ _) h
end
lemma min_add {α : Type u} [decidable_linear_ordered_comm_group α] (a b c : α) :
min a b + c = min (a + c) (b + c) :=
if hle : a ≤ b then
have a - c ≤ b - c, from sub_le_sub hle (le_refl _),
by simp * at *
else
have b - c ≤ a - c, from sub_le_sub (le_of_lt (lt_of_not_ge hle)) (le_refl _),
by simp * at *
lemma min_sub {α : Type u} [decidable_linear_ordered_comm_group α] (a b c : α) :
min a b - c = min (a - c) (b - c) :=
by simp [min_add, sub_eq_add_neg]
/- Some lemmas about types that have an ordering and a binary operation, with no
rules relating them. -/
lemma fn_min_add_fn_max [decidable_linear_order α] [add_comm_semigroup β] (f : α → β) (n m : α) :
f (min n m) + f (max n m) = f n + f m :=
by { cases le_total n m with h h; simp [h, add_comm] }
lemma min_add_max [decidable_linear_order α] [add_comm_semigroup α] (n m : α) :
min n m + max n m = n + m :=
fn_min_add_fn_max id n m
lemma fn_min_mul_fn_max [decidable_linear_order α] [comm_semigroup β] (f : α → β) (n m : α) :
f (min n m) * f (max n m) = f n * f m :=
by { cases le_total n m with h h; simp [h, mul_comm] }
lemma min_mul_max [decidable_linear_order α] [comm_semigroup α] (n m : α) :
min n m * max n m = n * m :=
fn_min_mul_fn_max id n m
section decidable_linear_ordered_comm_group
variables [decidable_linear_ordered_comm_group α] {a b c : α}
attribute [simp] abs_zero abs_neg
lemma abs_add (a b : α) : abs (a + b) ≤ abs a + abs b := abs_add_le_abs_add_abs a b
theorem abs_le : abs a ≤ b ↔ - b ≤ a ∧ a ≤ b :=
⟨assume h, ⟨neg_le_of_neg_le $ le_trans (neg_le_abs_self _) h, le_trans (le_abs_self _) h⟩,
assume ⟨h₁, h₂⟩, abs_le_of_le_of_neg_le h₂ $ neg_le_of_neg_le h₁⟩
lemma abs_lt : abs a < b ↔ - b < a ∧ a < b :=
⟨assume h, ⟨neg_lt_of_neg_lt $ lt_of_le_of_lt (neg_le_abs_self _) h, lt_of_le_of_lt (le_abs_self _) h⟩,
assume ⟨h₁, h₂⟩, abs_lt_of_lt_of_neg_lt h₂ $ neg_lt_of_neg_lt h₁⟩
lemma abs_sub_le_iff : abs (a - b) ≤ c ↔ a - b ≤ c ∧ b - a ≤ c :=
by rw [abs_le, neg_le_sub_iff_le_add, @sub_le_iff_le_add' _ _ b, and_comm]
lemma abs_sub_lt_iff : abs (a - b) < c ↔ a - b < c ∧ b - a < c :=
by rw [abs_lt, neg_lt_sub_iff_lt_add, @sub_lt_iff_lt_add' _ _ b, and_comm]
lemma sub_abs_le_abs_sub (a b : α) : abs a - abs b ≤ abs (a - b) := abs_sub_abs_le_abs_sub a b
lemma abs_abs_sub_le_abs_sub (a b : α) : abs (abs a - abs b) ≤ abs (a - b) :=
abs_sub_le_iff.2 ⟨sub_abs_le_abs_sub _ _, by rw abs_sub; apply sub_abs_le_abs_sub⟩
lemma abs_eq (hb : 0 ≤ b) : abs a = b ↔ a = b ∨ a = -b :=
iff.intro
begin
cases le_total a 0 with a_nonpos a_nonneg,
{ rw [abs_of_nonpos a_nonpos, neg_eq_iff_neg_eq, eq_comm], exact or.inr },
{ rw [abs_of_nonneg a_nonneg, eq_comm], exact or.inl }
end
(by intro h; cases h; subst h; try { rw abs_neg }; exact abs_of_nonneg hb)
@[simp] lemma abs_eq_zero : abs a = 0 ↔ a = 0 :=
⟨eq_zero_of_abs_eq_zero, λ e, e.symm ▸ abs_zero⟩
lemma abs_pos_iff {a : α} : 0 < abs a ↔ a ≠ 0 :=
⟨λ h, mt abs_eq_zero.2 (ne_of_gt h), abs_pos_of_ne_zero⟩
@[simp] lemma abs_nonpos_iff {a : α} : abs a ≤ 0 ↔ a = 0 :=
by rw [← not_lt, abs_pos_iff, not_not]
lemma abs_le_max_abs_abs (hab : a ≤ b) (hbc : b ≤ c) : abs b ≤ max (abs a) (abs c) :=
abs_le_of_le_of_neg_le
(by simp [le_max_iff, le_trans hbc (le_abs_self c)])
(by simp [le_max_iff, le_trans (neg_le_neg hab) (neg_le_abs_self a)])
theorem abs_le_abs {α : Type*} [decidable_linear_ordered_comm_group α] {a b : α}
(h₀ : a ≤ b) (h₁ : -a ≤ b) :
abs a ≤ abs b :=
calc abs a
≤ b : by { apply abs_le_of_le_of_neg_le; assumption }
... ≤ abs b : le_abs_self _
lemma min_le_add_of_nonneg_right {a b : α} (hb : b ≥ 0) : min a b ≤ a + b :=
calc
min a b ≤ a : by apply min_le_left
... ≤ a + b : le_add_of_nonneg_right hb
lemma min_le_add_of_nonneg_left {a b : α} (ha : a ≥ 0) : min a b ≤ a + b :=
calc
min a b ≤ b : by apply min_le_right
... ≤ a + b : le_add_of_nonneg_left ha
lemma max_le_add_of_nonneg {a b : α} (ha : a ≥ 0) (hb : b ≥ 0) : max a b ≤ a + b :=
max_le_iff.2 (by split; simpa)
lemma max_zero_sub_eq_self (a : α) : max a 0 - max (-a) 0 = a :=
begin
rcases le_total a 0,
{ rw [max_eq_right h, max_eq_left, zero_sub, neg_neg], { rwa [le_neg, neg_zero] } },
{ rw [max_eq_left, max_eq_right, sub_zero], { rwa [neg_le, neg_zero] }, exact h }
end
lemma abs_max_sub_max_le_abs (a b c : α) : abs (max a c - max b c) ≤ abs (a - b) :=
begin
simp only [max],
split_ifs,
{ rw [sub_self, abs_zero], exact abs_nonneg _ },
{ calc abs (c - b) = - (c - b) : abs_of_neg (sub_neg_of_lt (lt_of_not_ge h_1))
... = b - c : neg_sub _ _
... ≤ b - a : by { rw sub_le_sub_iff_left, exact h }
... = - (a - b) : by rw neg_sub
... ≤ abs (a - b) : neg_le_abs_self _ },
{ calc abs (a - c) = a - c : abs_of_pos (sub_pos_of_lt (lt_of_not_ge h))
... ≤ a - b : by { rw sub_le_sub_iff_left, exact h_1 }
... ≤ abs (a - b) : le_abs_self _ },
{ refl }
end
lemma max_sub_min_eq_abs' (a b : α) : max a b - min a b = abs (a - b) :=
begin
cases le_total a b with ab ba,
{ rw [max_eq_right ab, min_eq_left ab, abs_of_nonpos, neg_sub], rwa sub_nonpos },
{ rw [max_eq_left ba, min_eq_right ba, abs_of_nonneg], exact sub_nonneg_of_le ba }
end
lemma max_sub_min_eq_abs (a b : α) : max a b - min a b = abs (b - a) :=
by { rw [abs_sub], exact max_sub_min_eq_abs' _ _ }
end decidable_linear_ordered_comm_group
section decidable_linear_ordered_semiring
variables [decidable_linear_ordered_semiring α] {a b c d : α}
lemma monotone_mul_left_of_nonneg (ha : 0 ≤ a) : monotone (λ x, a*x) :=
assume b c b_le_c, mul_le_mul_of_nonneg_left b_le_c ha
lemma monotone_mul_right_of_nonneg (ha : 0 ≤ a) : monotone (λ x, x*a) :=
assume b c b_le_c, mul_le_mul_of_nonneg_right b_le_c ha
lemma mul_max_of_nonneg (b c : α) (ha : 0 ≤ a) : a * max b c = max (a * b) (a * c) :=
(monotone_mul_left_of_nonneg ha).map_max
lemma mul_min_of_nonneg (b c : α) (ha : 0 ≤ a) : a * min b c = min (a * b) (a * c) :=
(monotone_mul_left_of_nonneg ha).map_min
lemma max_mul_of_nonneg (a b : α) (hc : 0 ≤ c) : max a b * c = max (a * c) (b * c) :=
(monotone_mul_right_of_nonneg hc).map_max
lemma min_mul_of_nonneg (a b : α) (hc : 0 ≤ c) : min a b * c = min (a * c) (b * c) :=
(monotone_mul_right_of_nonneg hc).map_min
end decidable_linear_ordered_semiring
section decidable_linear_ordered_comm_ring
variables [decidable_linear_ordered_comm_ring α] {a b c d : α}
@[simp] lemma abs_one : abs (1 : α) = 1 := abs_of_pos zero_lt_one
lemma max_mul_mul_le_max_mul_max (b c : α) (ha : 0 ≤ a) (hd: 0 ≤ d) :
max (a * b) (d * c) ≤ max a c * max d b :=
have ba : b * a ≤ max d b * max c a,
from mul_le_mul (le_max_right d b) (le_max_right c a) ha (le_trans hd (le_max_left d b)),
have cd : c * d ≤ max a c * max b d,
from mul_le_mul (le_max_right a c) (le_max_right b d) hd (le_trans ha (le_max_left a c)),
max_le
(by simpa [mul_comm, max_comm] using ba)
(by simpa [mul_comm, max_comm] using cd)
end decidable_linear_ordered_comm_ring
|
a2370772a3eb61cfd0db0dc9786909d4d47d19d2 | 5ae26df177f810c5006841e9c73dc56e01b978d7 | /src/algebra/group/to_additive.lean | e47e6cdd2161c00a56f3733bdc7ef2572cb438f1 | [
"Apache-2.0"
] | permissive | ChrisHughes24/mathlib | 98322577c460bc6b1fe5c21f42ce33ad1c3e5558 | a2a867e827c2a6702beb9efc2b9282bd801d5f9a | refs/heads/master | 1,583,848,251,477 | 1,565,164,247,000 | 1,565,164,247,000 | 129,409,993 | 0 | 1 | Apache-2.0 | 1,565,164,817,000 | 1,523,628,059,000 | Lean | UTF-8 | Lean | false | false | 6,712 | lean | /-
Copyright (c) 2017 Mario Carneiro. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Mario Carneiro.
Transport multiplicative to additive
-/
import tactic.basic data.option.defs
section transport
open tactic
@[user_attribute]
meta def to_additive_attr : user_attribute (name_map name) name :=
{ name := `to_additive,
descr := "Transport multiplicative to additive",
cache_cfg := ⟨λ ns, ns.mfoldl (λ dict n, do
val ← to_additive_attr.get_param n,
pure $ dict.insert n val) mk_name_map, []⟩,
parser := lean.parser.ident,
after_set := some $ λ src _ _, do
env ← get_env,
dict ← to_additive_attr.get_cache,
tgt ← to_additive_attr.get_param src,
(get_decl tgt >> skip) <|>
transport_with_dict dict src tgt }
end transport
/- map operations -/
attribute [to_additive has_add.add] has_mul.mul
attribute [to_additive has_zero.zero] has_one.one
attribute [to_additive has_neg.neg] has_inv.inv
attribute [to_additive has_add] has_mul
attribute [to_additive has_zero] has_one
attribute [to_additive has_neg] has_inv
/- map constructors -/
attribute [to_additive has_add.mk] has_mul.mk
attribute [to_additive has_zero.mk] has_one.mk
attribute [to_additive has_neg.mk] has_inv.mk
/- map structures -/
attribute [to_additive add_semigroup] semigroup
attribute [to_additive add_semigroup.mk] semigroup.mk
attribute [to_additive add_semigroup.to_has_add] semigroup.to_has_mul
attribute [to_additive add_semigroup.add_assoc] semigroup.mul_assoc
attribute [to_additive add_semigroup.add] semigroup.mul
attribute [to_additive add_comm_semigroup] comm_semigroup
attribute [to_additive add_comm_semigroup.mk] comm_semigroup.mk
attribute [to_additive add_comm_semigroup.to_add_semigroup] comm_semigroup.to_semigroup
attribute [to_additive add_comm_semigroup.add_comm] comm_semigroup.mul_comm
attribute [to_additive add_left_cancel_semigroup] left_cancel_semigroup
attribute [to_additive add_left_cancel_semigroup.mk] left_cancel_semigroup.mk
attribute [to_additive add_left_cancel_semigroup.to_add_semigroup] left_cancel_semigroup.to_semigroup
attribute [to_additive add_left_cancel_semigroup.add_left_cancel] left_cancel_semigroup.mul_left_cancel
attribute [to_additive add_right_cancel_semigroup] right_cancel_semigroup
attribute [to_additive add_right_cancel_semigroup.mk] right_cancel_semigroup.mk
attribute [to_additive add_right_cancel_semigroup.to_add_semigroup] right_cancel_semigroup.to_semigroup
attribute [to_additive add_right_cancel_semigroup.add_right_cancel] right_cancel_semigroup.mul_right_cancel
attribute [to_additive add_monoid] monoid
attribute [to_additive add_monoid.mk] monoid.mk
attribute [to_additive add_monoid.to_has_zero] monoid.to_has_one
attribute [to_additive add_monoid.to_add_semigroup] monoid.to_semigroup
attribute [to_additive add_monoid.add] monoid.mul
attribute [to_additive add_monoid.add_assoc] monoid.mul_assoc
attribute [to_additive add_monoid.zero] monoid.one
attribute [to_additive add_monoid.zero_add] monoid.one_mul
attribute [to_additive add_monoid.add_zero] monoid.mul_one
attribute [to_additive add_comm_monoid] comm_monoid
attribute [to_additive add_comm_monoid.mk] comm_monoid.mk
attribute [to_additive add_comm_monoid.to_add_monoid] comm_monoid.to_monoid
attribute [to_additive add_comm_monoid.to_add_comm_semigroup] comm_monoid.to_comm_semigroup
attribute [to_additive add_group] group
attribute [to_additive add_group.mk] group.mk
attribute [to_additive add_group.to_has_neg] group.to_has_inv
attribute [to_additive add_group.to_add_monoid] group.to_monoid
attribute [to_additive add_group.add_left_neg] group.mul_left_inv
attribute [to_additive add_group.add] group.mul
attribute [to_additive add_group.add_assoc] group.mul_assoc
attribute [to_additive add_group.zero] group.one
attribute [to_additive add_group.zero_add] group.one_mul
attribute [to_additive add_group.add_zero] group.mul_one
attribute [to_additive add_group.neg] group.inv
attribute [to_additive add_comm_group] comm_group
attribute [to_additive add_comm_group.mk] comm_group.mk
attribute [to_additive add_comm_group.to_add_group] comm_group.to_group
attribute [to_additive add_comm_group.to_add_comm_monoid] comm_group.to_comm_monoid
/- map theorems -/
attribute [to_additive add_assoc] mul_assoc
attribute [to_additive add_semigroup_to_is_associative] semigroup_to_is_associative
attribute [to_additive add_comm] mul_comm
attribute [to_additive add_comm_semigroup_to_is_commutative] comm_semigroup_to_is_commutative
attribute [to_additive add_left_comm] mul_left_comm
attribute [to_additive add_right_comm] mul_right_comm
attribute [to_additive add_left_cancel] mul_left_cancel
attribute [to_additive add_right_cancel] mul_right_cancel
attribute [to_additive add_left_cancel_iff] mul_left_cancel_iff
attribute [to_additive add_right_cancel_iff] mul_right_cancel_iff
attribute [to_additive zero_add] one_mul
attribute [to_additive add_zero] mul_one
attribute [to_additive add_left_neg] mul_left_inv
attribute [to_additive neg_add_self] inv_mul_self
attribute [to_additive neg_add_cancel_left] inv_mul_cancel_left
attribute [to_additive neg_add_cancel_right] inv_mul_cancel_right
attribute [to_additive neg_eq_of_add_eq_zero] inv_eq_of_mul_eq_one
attribute [to_additive neg_zero] one_inv
attribute [to_additive neg_neg] inv_inv
attribute [to_additive add_right_neg] mul_right_inv
attribute [to_additive add_neg_self] mul_inv_self
attribute [to_additive neg_inj] inv_inj
attribute [to_additive add_group.add_left_cancel] group.mul_left_cancel
attribute [to_additive add_group.add_right_cancel] group.mul_right_cancel
attribute [to_additive add_group.to_left_cancel_add_semigroup] group.to_left_cancel_semigroup
attribute [to_additive add_group.to_right_cancel_add_semigroup] group.to_right_cancel_semigroup
attribute [to_additive add_neg_cancel_left] mul_inv_cancel_left
attribute [to_additive add_neg_cancel_right] mul_inv_cancel_right
attribute [to_additive neg_add_rev] mul_inv_rev
attribute [to_additive eq_neg_of_eq_neg] eq_inv_of_eq_inv
attribute [to_additive eq_neg_of_add_eq_zero] eq_inv_of_mul_eq_one
attribute [to_additive eq_add_neg_of_add_eq] eq_mul_inv_of_mul_eq
attribute [to_additive eq_neg_add_of_add_eq] eq_inv_mul_of_mul_eq
attribute [to_additive neg_add_eq_of_eq_add] inv_mul_eq_of_eq_mul
attribute [to_additive add_neg_eq_of_eq_add] mul_inv_eq_of_eq_mul
attribute [to_additive eq_add_of_add_neg_eq] eq_mul_of_mul_inv_eq
attribute [to_additive eq_add_of_neg_add_eq] eq_mul_of_inv_mul_eq
attribute [to_additive add_eq_of_eq_neg_add] mul_eq_of_eq_inv_mul
attribute [to_additive add_eq_of_eq_add_neg] mul_eq_of_eq_mul_inv
attribute [to_additive neg_add] mul_inv
|
7ca693697e9a1203f744a923773db63676f92320 | 9dd3f3912f7321eb58ee9aa8f21778ad6221f87c | /tests/lean/run/doc_string2.lean | 1cabbb78d31c932dcd155edec312f843da0fae56 | [
"Apache-2.0"
] | permissive | bre7k30/lean | de893411bcfa7b3c5572e61b9e1c52951b310aa4 | 5a924699d076dab1bd5af23a8f910b433e598d7a | refs/heads/master | 1,610,900,145,817 | 1,488,006,845,000 | 1,488,006,845,000 | null | 0 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 261 | lean | /-- Documentation for inductive foo -/
inductive foo
| val1 | val2
namespace foo
/-- Documentation for x -/
def x := 10
end foo
open tactic
run_command do
trace "--------",
doc_string `foo >>= trace,
trace "--------",
doc_string `foo.x >>= trace
|
167ab7bc8594105ab2e5dc908db96e5737470a58 | ee8cdbabf07f77e7be63a449b8483ce308d37218 | /lean/src/valid/mathd-algebra-59.lean | b925732f44101f89ce106c2818df3f69db10896f | [
"MIT",
"Apache-2.0"
] | permissive | zeta1999/miniF2F | 6d66c75d1c18152e224d07d5eed57624f731d4b7 | c1ba9629559c5273c92ec226894baa0c1ce27861 | refs/heads/main | 1,681,897,460,642 | 1,620,646,361,000 | 1,620,646,361,000 | null | 0 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 1,075 | lean | /-
Copyright (c) 2021 OpenAI. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Kunhao Zheng
-/
import tactic.gptf
import data.real.basic
import analysis.special_functions.pow
example (b : ℝ) (h₀ : (4:ℝ) ^ b + 2 ^ 3 = 12) : b = 1 :=
begin
have h₁ : (4:ℝ) ^ b = 4, linarith,
by_contradiction h,
clear h₀,
change b ≠ 1 at h,
by_cases b₀ : b < 1,
have key₁ : (4:ℝ) ^ b < (4:ℝ) ^ (1:ℝ), {
apply real.rpow_lt_rpow_of_exponent_lt _ _,
linarith,
exact b₀,
},
simp at key₁,
have key₂ : (4:ℝ) ^ b ≠ (4:ℝ), {
exact ne_of_lt key₁,
},
exact h (false.rec (b = 1) (key₂ h₁)),
have key₃ : 1 < b, {
refine h.symm.le_iff_lt.mp _,
exact not_lt.mp b₀,
},
have key₄ : (4:ℝ) ^ (1:ℝ) < (4:ℝ) ^ b, {
apply real.rpow_lt_rpow_of_exponent_lt _ _,
linarith,
exact key₃,
},
simp at key₄,
have key₂ : (4:ℝ) ^ b ≠ (4:ℝ), {
rw ne_comm,
exact ne_of_lt key₄,
},
exact h (false.rec (b = 1) (key₂ h₁)),
end
|
74f88204eda37b41804060dbb6e35808036a7e11 | 4fa161becb8ce7378a709f5992a594764699e268 | /src/tactic/zify.lean | 5b9c5ee16520b520d7183d8193d72478cd7c5c1c | [
"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 | 5,345 | lean | /-
Copyright (c) 2020 Robert Y. Lewis. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Robert Y. Lewis
-/
import tactic.norm_cast
import data.int.basic
/-!
# A tactic to shift `ℕ` goals to `ℤ`
It is often easier to work in `ℤ`, where subtraction is well behaved, than in `ℕ` where it isn't.
`zify` is a tactic that casts goals and hypotheses about natural numbers to ones about integers.
It makes use of `push_cast`, part of the `norm_cast` family, to simplify these goals.
## Implementation notes
`zify` is extensible, using the attribute `@[zify]` to label lemmas used for moving propositions
from `ℕ` to `ℤ`.
`zify` lemmas should have the form `∀ a₁ ... aₙ : ℕ, Pz (a₁ : ℤ) ... (aₙ : ℤ) ↔ Pn a₁ ... aₙ`.
For example, `int.coe_nat_le_coe_nat_iff : ∀ (m n : ℕ), ↑m ≤ ↑n ↔ m ≤ n` is a `zify` lemma.
`zify` is very nearly just `simp only with zify push_cast`. There are a few minor differences:
* `zify` lemmas are used in the opposite order of the standard simp form.
E.g. we will rewrite with `int.coe_nat_le_coe_nat_iff` from right to left.
* `zify` should fail if no `zify` lemma applies (i.e. it was unable to shift any proposition to ℤ).
However, once this succeeds, it does not necessarily need to rewrite with any `push_cast` rules.
-/
open tactic
namespace zify
/--
The `zify` attribute is used by the `zify` tactic. It applies to lemmas that shift propositions
between `nat` and `int`.
`zify` lemmas should have the form `∀ a₁ ... aₙ : ℕ, Pz (a₁ : ℤ) ... (aₙ : ℤ) ↔ Pn a₁ ... aₙ`.
For example, `int.coe_nat_le_coe_nat_iff : ∀ (m n : ℕ), ↑m ≤ ↑n ↔ m ≤ n` is a `zify` lemma.
-/
@[user_attribute]
meta def zify_attr : user_attribute simp_lemmas unit :=
{ name := `zify,
descr := "Used to tag lemmas for use in the `zify` tactic",
cache_cfg :=
{ mk_cache :=
λ ns, mmap (λ n, do c ← mk_const n, return (c, tt)) ns >>= simp_lemmas.mk.append_with_symm,
dependencies := [] } }
/--
Given an expression `e`, `lift_to_z e` looks for subterms of `e` that are propositions "about"
natural numbers and change them to propositions about integers.
Returns an expression `e'` and a proof that `e = e'`.
Includes `ge_iff_le` and `gt_iff_lt` in the simp set. These can't be tagged with `zify` as we
want to use them in the "forward", not "backward", direction.
-/
meta def lift_to_z (e : expr) : tactic (expr × expr) :=
do sl ← zify_attr.get_cache,
sl ← sl.add_simp `ge_iff_le, sl ← sl.add_simp `gt_iff_lt,
simplify sl [] e
attribute [zify] int.coe_nat_le_coe_nat_iff int.coe_nat_lt_coe_nat_iff int.coe_nat_eq_coe_nat_iff
end zify
@[zify] lemma int.coe_nat_ne_coe_nat_iff (a b : ℕ) : (a : ℤ) ≠ b ↔ a ≠ b :=
by simp
/--
`zify extra_lems e` is used to shift propositions in `e` from `ℕ` to `ℤ`.
This is often useful since `ℤ` has well-behaved subtraction.
The list of extra lemmas is used in the `push_cast` step.
Returns an expression `e'` and a proof that `e = e'`.-/
meta def tactic.zify (extra_lems : list simp_arg_type) : expr → tactic (expr × expr) := λ z,
do (z1, p1) ← zify.lift_to_z z <|> fail "failed to find an applicable zify lemma",
(z2, p2) ← norm_cast.derive_push_cast extra_lems z1,
prod.mk z2 <$> mk_eq_trans p1 p2
/--
A variant of `tactic.zify` that takes `h`, a proof of a proposition about natural numbers,
and returns a proof of the zified version of that propositon.
-/
meta def tactic.zify_proof (extra_lems : list simp_arg_type := []) (h : expr) : tactic expr :=
do (_, pf) ← infer_type h >>= tactic.zify extra_lems,
mk_eq_mp pf h
section
setup_tactic_parser
/--
The `zify` tactic is used to shift propositions from `ℕ` to `ℤ`.
This is often useful since `ℤ` has well-behaved subtraction.
```lean
example (a b c x y z : ℕ) (h : ¬ x*y*z < 0) : c < a + 3*b :=
begin
zify,
zify at h,
/-
h : ¬↑x * ↑y * ↑z < 0
⊢ ↑c < ↑a + 3 * ↑b
-/
end
```
`zify` can be given extra lemmas to use in simplification. This is especially useful in the
presence of nat subtraction: passing `≤` arguments will allow `push_cast` to do more work.
```
example (a b c : ℕ) (h : a - b < c) (hab : b ≤ a) : false :=
begin
zify [hab] at h,
/- h : ↑a - ↑b < ↑c -/
end
```
`zify` makes use of the `@[zify]` attribute to move propositions,
and the `push_cast` tactic to simplify the `ℤ`-valued expressions.
`zify` is in some sense dual to the `lift` tactic. `lift (z : ℤ) to ℕ` will change the type of an
integer `z` (in the supertype) to `ℕ` (the subtype), given a proof that `z ≥ 0`;
propositions concerning `z` will still be over `ℤ`. `zify` changes propositions about `ℕ` (the
subtype) to propositions about `ℤ` (the supertype), without changing the type of any variable.
-/
meta def tactic.interactive.zify (sl : parse simp_arg_list) (l : parse location) : tactic unit :=
do locs ← l.get_locals,
replace_at (tactic.zify sl) locs l.include_goal >>= guardb
end
add_tactic_doc
{ name := "zify",
category := doc_category.attr,
decl_names := [`zify.zify_attr],
tags := ["coercions", "transport"] }
add_tactic_doc
{ name := "zify",
category := doc_category.tactic,
decl_names := [`tactic.interactive.zify],
tags := ["coercions", "transport"] }
|
fff63e7cc873207f8bb5656fca71856cedaafd1e | 1446f520c1db37e157b631385707cc28a17a595e | /tests/bench/deriv.lean | e8a2bc6e01429f80dbde755090e8a19e262f11dd | [
"Apache-2.0"
] | permissive | bdbabiak/lean4 | cab06b8a2606d99a168dd279efdd404edb4e825a | 3f4d0d78b2ce3ef541cb643bbe21496bd6b057ac | refs/heads/master | 1,615,045,275,530 | 1,583,793,696,000 | 1,583,793,696,000 | null | 0 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 2,899 | lean | /- Benchmark for new code generator -/
inductive Expr
| Val : Int → Expr
| Var : String → Expr
| Add : Expr → Expr → Expr
| Mul : Expr → Expr → Expr
| Pow : Expr → Expr → Expr
| Ln : Expr → Expr
open Expr
partial def pown : Int → Int → Int
| a, 0 => 1
| a, 1 => a
| a, n =>
let b := pown a (n / 2);
b * b * (if n % 2 = 0 then 1 else a)
partial def add : Expr → Expr → Expr
| Val n, Val m => Val (n + m)
| Val 0, f => f
| f, Val 0 => f
| f, Val n => add (Val n) f
| Val n, Add (Val m) f => add (Val (n+m)) f
| f, Add (Val n) g => add (Val n) (add f g)
| Add f g, h => add f (add g h)
| f, g => Add f g
partial def mul : Expr → Expr → Expr
| Val n, Val m => Val (n*m)
| Val 0, _ => Val 0
| _, Val 0 => Val 0
| Val 1, f => f
| f, Val 1 => f
| f, Val n => mul (Val n) f
| Val n, Mul (Val m) f => mul (Val (n*m)) f
| f, Mul (Val n) g => mul (Val n) (mul f g)
| Mul f g, h => mul f (mul g h)
| f, g => Mul f g
def pow : Expr → Expr → Expr
| Val m, Val n => Val (pown m n)
| _, Val 0 => Val 1
| f, Val 1 => f
| Val 0, _ => Val 0
| f, g => Pow f g
def ln : Expr → Expr
| Val 1 => Val 0
| f => Ln f
def d (x : String) : Expr → Expr
| Val _ => Val 0
| Var y => if x = y then Val 1 else Val 0
| Add f g => add (d f) (d g)
| Mul f g => add (mul f (d g)) (mul g (d f))
| Pow f g => mul (pow f g) (add (mul (mul g (d f)) (pow f (Val (-1)))) (mul (ln f) (d g)))
| Ln f => mul (d f) (pow f (Val (-1)))
def count : Expr → UInt32
| Val _ => 1
| Var _ => 1
| Add f g => count f + count g
| Mul f g => count f + count g
| Pow f g => count f + count g
| Ln f => count f
def Expr.toString : Expr → String
| Val n => toString n
| Var x => x
| Add f g => "(" ++ Expr.toString f ++ " + " ++ Expr.toString g ++ ")"
| Mul f g => "(" ++ Expr.toString f ++ " * " ++ Expr.toString g ++ ")"
| Pow f g => "(" ++ Expr.toString f ++ " ^ " ++ Expr.toString g ++ ")"
| Ln f => "ln(" ++ Expr.toString f ++ ")"
instance : HasToString Expr :=
⟨Expr.toString⟩
def nestAux (s : Nat) (f : Nat → Expr → IO Expr) : Nat → Expr → IO Expr
| 0, x => pure x
| m@(n+1), x => f (s - m) x >>= nestAux n
def nest (f : Nat → Expr → IO Expr) (n : Nat) (e : Expr) : IO Expr :=
nestAux n f n e
def deriv (i : Nat) (f : Expr) : IO Expr :=
do
let d := d "x" f;
IO.println (toString (i+1) ++ " count: " ++ (toString $ count d));
pure d
unsafe def main : List String → IO UInt32
| [s] => do
let n := s.toNat;
let x := Var "x";
let f := pow x x;
nest deriv n f;
pure 0
| _ => pure 1
|
77630f70a3f798ef7471afe6be7f2fce5f081f6f | 75db7e3219bba2fbf41bf5b905f34fcb3c6ca3f2 | /library/init/logic.lean | a33f62365f046557b411123e7e4d33f9d88f2b13 | [
"Apache-2.0"
] | permissive | jroesch/lean | 30ef0860fa905d35b9ad6f76de1a4f65c9af6871 | 3de4ec1a6ce9a960feb2a48eeea8b53246fa34f2 | refs/heads/master | 1,586,090,835,348 | 1,455,142,203,000 | 1,455,142,277,000 | 51,536,958 | 1 | 0 | null | 1,455,215,811,000 | 1,455,215,811,000 | null | UTF-8 | Lean | false | false | 33,920 | 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, Floris van Doorn
-/
prelude
import init.datatypes init.reserved_notation init.tactic
definition id [reducible] [unfold_full] {A : Type} (a : A) : A :=
a
/- implication -/
definition implies (a b : Prop) := a → b
lemma implies.trans [trans] {p q r : Prop} (h₁ : implies p q) (h₂ : implies q r) : implies p r :=
assume hp, h₂ (h₁ hp)
definition trivial := true.intro
definition not (a : Prop) := a → false
prefix `¬` := not
definition absurd {a : Prop} {b : Type} (H1 : a) (H2 : ¬a) : b :=
false.rec b (H2 H1)
lemma not.intro [intro!] {a : Prop} (H : a → false) : ¬ a :=
H
theorem mt {a b : Prop} (H1 : a → b) (H2 : ¬b) : ¬a :=
assume Ha : a, absurd (H1 Ha) H2
definition implies.resolve {a b : Prop} (H : a → b) (nb : ¬ b) : ¬ a := assume Ha, nb (H Ha)
/- not -/
theorem not_false : ¬false :=
assume H : false, H
definition non_contradictory (a : Prop) : Prop := ¬¬a
theorem non_contradictory_intro {a : Prop} (Ha : a) : ¬¬a :=
assume Hna : ¬a, absurd Ha Hna
/- false -/
theorem false.elim {c : Prop} (H : false) : c :=
false.rec c H
/- eq -/
notation a = b := eq a b
definition rfl {A : Type} {a : A} : a = a := eq.refl a
-- proof irrelevance is built in
theorem proof_irrel {a : Prop} (H₁ H₂ : a) : H₁ = H₂ :=
rfl
-- Remark: we provide the universe levels explicitly to make sure `eq.drec` has the same type of `eq.rec` in the HoTT library
protected theorem eq.drec.{l₁ l₂} {A : Type.{l₂}} {a : A} {C : Π (x : A), a = x → Type.{l₁}} (h₁ : C a (eq.refl a)) {b : A} (h₂ : a = b) : C b h₂ :=
eq.rec (λh₂ : a = a, show C a h₂, from h₁) h₂ h₂
namespace eq
variables {A : Type}
variables {a b c a': A}
protected theorem drec_on {a : A} {C : Π (x : A), a = x → Type} {b : A} (h₂ : a = b) (h₁ : C a (refl a)) : C b h₂ :=
eq.drec h₁ h₂
theorem subst {P : A → Prop} (H₁ : a = b) (H₂ : P a) : P b :=
eq.rec H₂ H₁
theorem trans (H₁ : a = b) (H₂ : b = c) : a = c :=
subst H₂ H₁
theorem symm : a = b → b = a :=
eq.rec (refl a)
theorem substr {P : A → Prop} (H₁ : b = a) : P a → P b :=
subst (symm H₁)
theorem mp {a b : Type} : (a = b) → a → b :=
eq.rec_on
theorem mpr {a b : Type} : (a = b) → b → a :=
assume H₁ H₂, eq.rec_on (eq.symm H₁) H₂
namespace ops
notation H `⁻¹` := symm H --input with \sy or \-1 or \inv
notation H1 ⬝ H2 := trans H1 H2
notation H1 ▸ H2 := subst H1 H2
notation H1 ▹ H2 := eq.rec H2 H1
end ops
end eq
theorem congr {A B : Type} {f₁ f₂ : A → B} {a₁ a₂ : A} (H₁ : f₁ = f₂) (H₂ : a₁ = a₂) : f₁ a₁ = f₂ a₂ :=
eq.subst H₁ (eq.subst H₂ rfl)
theorem congr_fun {A : Type} {B : A → Type} {f g : Π x, B x} (H : f = g) (a : A) : f a = g a :=
eq.subst H (eq.refl (f a))
theorem congr_arg {A B : Type} {a₁ a₂ : A} (f : A → B) : a₁ = a₂ → f a₁ = f a₂ :=
congr rfl
section
variables {A : Type} {a b c: A}
open eq.ops
theorem trans_rel_left (R : A → A → Prop) (H₁ : R a b) (H₂ : b = c) : R a c :=
H₂ ▸ H₁
theorem trans_rel_right (R : A → A → Prop) (H₁ : a = b) (H₂ : R b c) : R a c :=
H₁⁻¹ ▸ H₂
end
section
variable {p : Prop}
open eq.ops
theorem of_eq_true (H : p = true) : p :=
H⁻¹ ▸ trivial
theorem not_of_eq_false (H : p = false) : ¬p :=
assume Hp, H ▸ Hp
end
attribute eq.subst [subst]
attribute eq.refl [refl]
attribute eq.trans [trans]
attribute eq.symm [symm]
definition cast {A B : Type} (H : A = B) (a : A) : B :=
eq.rec a H
theorem cast_proof_irrel {A B : Type} (H₁ H₂ : A = B) (a : A) : cast H₁ a = cast H₂ a :=
rfl
theorem cast_eq {A : Type} (H : A = A) (a : A) : cast H a = a :=
rfl
/- ne -/
definition ne [reducible] {A : Type} (a b : A) := ¬(a = b)
notation a ≠ b := ne a b
namespace ne
open eq.ops
variable {A : Type}
variables {a b : A}
theorem intro (H : a = b → false) : a ≠ b := H
theorem elim (H : a ≠ b) : a = b → false := H
theorem irrefl (H : a ≠ a) : false := H rfl
theorem symm (H : a ≠ b) : b ≠ a :=
assume (H₁ : b = a), H (H₁⁻¹)
end ne
theorem false_of_ne {A : Type} {a : A} : a ≠ a → false := ne.irrefl
section
open eq.ops
variables {p : Prop}
theorem ne_false_of_self : p → p ≠ false :=
assume (Hp : p) (Heq : p = false), Heq ▸ Hp
theorem ne_true_of_not : ¬p → p ≠ true :=
assume (Hnp : ¬p) (Heq : p = true), (Heq ▸ Hnp) trivial
theorem true_ne_false : ¬true = false :=
ne_false_of_self trivial
end
infixl ` == `:50 := heq
section
universe variable u
variables {A B C : Type.{u}} {a a' : A} {b b' : B} {c : C}
theorem eq_of_heq (H : a == a') : a = a' :=
have H₁ : ∀ (Ht : A = A), eq.rec a Ht = a, from
λ Ht, eq.refl a,
heq.rec H₁ H (eq.refl A)
theorem heq.elim {A : Type} {a : A} {P : A → Type} {b : A} (H₁ : a == b)
: P a → P b := eq.rec_on (eq_of_heq H₁)
theorem heq.subst {P : ∀T : Type, T → Prop} : a == b → P A a → P B b :=
heq.rec_on
theorem heq.symm (H : a == b) : b == a :=
heq.rec_on H (heq.refl a)
theorem heq_of_eq (H : a = a') : a == a' :=
eq.subst H (heq.refl a)
theorem heq.trans (H₁ : a == b) (H₂ : b == c) : a == c :=
heq.subst H₂ H₁
theorem heq_of_heq_of_eq (H₁ : a == b) (H₂ : b = b') : a == b' :=
heq.trans H₁ (heq_of_eq H₂)
theorem heq_of_eq_of_heq (H₁ : a = a') (H₂ : a' == b) : a == b :=
heq.trans (heq_of_eq H₁) H₂
definition type_eq_of_heq (H : a == b) : A = B :=
heq.rec_on H (eq.refl A)
end
open eq.ops
theorem eq_rec_heq {A : Type} {P : A → Type} {a a' : A} (H : a = a') (p : P a) : H ▹ p == p :=
eq.drec_on H !heq.refl
theorem heq_of_eq_rec_left {A : Type} {P : A → Type} : ∀ {a a' : A} {p₁ : P a} {p₂ : P a'} (e : a = a') (h₂ : e ▹ p₁ = p₂), p₁ == p₂
| a a p₁ p₂ (eq.refl a) h := eq.rec_on h !heq.refl
theorem heq_of_eq_rec_right {A : Type} {P : A → Type} : ∀ {a a' : A} {p₁ : P a} {p₂ : P a'} (e : a' = a) (h₂ : p₁ = e ▹ p₂), p₁ == p₂
| a a p₁ p₂ (eq.refl a) h := eq.rec_on h !heq.refl
theorem of_heq_true {a : Prop} (H : a == true) : a :=
of_eq_true (eq_of_heq H)
theorem eq_rec_compose : ∀ {A B C : Type} (p₁ : B = C) (p₂ : A = B) (a : A), p₁ ▹ (p₂ ▹ a : B) = (p₂ ⬝ p₁) ▹ a
| A A A (eq.refl A) (eq.refl A) a := calc
eq.refl A ▹ eq.refl A ▹ a = eq.refl A ▹ a : rfl
... = (eq.refl A ⬝ eq.refl A) ▹ a : {proof_irrel (eq.refl A) (eq.refl A ⬝ eq.refl A)}
theorem eq_rec_eq_eq_rec {A₁ A₂ : Type} {p : A₁ = A₂} : ∀ {a₁ : A₁} {a₂ : A₂}, p ▹ a₁ = a₂ → a₁ = p⁻¹ ▹ a₂ :=
eq.drec_on p (λ a₁ a₂ h, eq.drec_on h rfl)
theorem eq_rec_of_heq_left : ∀ {A₁ A₂ : Type} {a₁ : A₁} {a₂ : A₂} (h : a₁ == a₂), type_eq_of_heq h ▹ a₁ = a₂
| A A a a (heq.refl a) := rfl
theorem eq_rec_of_heq_right {A₁ A₂ : Type} {a₁ : A₁} {a₂ : A₂} (h : a₁ == a₂) : a₁ = (type_eq_of_heq h)⁻¹ ▹ a₂ :=
eq_rec_eq_eq_rec (eq_rec_of_heq_left h)
attribute heq.refl [refl]
attribute heq.trans [trans]
attribute heq_of_heq_of_eq [trans]
attribute heq_of_eq_of_heq [trans]
attribute heq.symm [symm]
theorem cast_heq : ∀ {A B : Type} (H : A = B) (a : A), cast H a == a
| A A (eq.refl A) a := !heq.refl
/- and -/
notation a /\ b := and a b
notation a ∧ b := and a b
variables {a b c d : Prop}
attribute and.rec [elim]
attribute and.intro [intro!]
theorem and.elim (H₁ : a ∧ b) (H₂ : a → b → c) : c :=
and.rec H₂ H₁
theorem and.swap : a ∧ b → b ∧ a :=
and.rec (λHa Hb, and.intro Hb Ha)
/- or -/
notation a \/ b := or a b
notation a ∨ b := or a b
attribute or.rec [elim]
namespace or
theorem elim (H₁ : a ∨ b) (H₂ : a → c) (H₃ : b → c) : c :=
or.rec H₂ H₃ H₁
end or
theorem non_contradictory_em (a : Prop) : ¬¬(a ∨ ¬a) :=
assume not_em : ¬(a ∨ ¬a),
have neg_a : ¬a, from
assume pos_a : a, absurd (or.inl pos_a) not_em,
absurd (or.inr neg_a) not_em
theorem or.swap : a ∨ b → b ∨ a := or.rec or.inr or.inl
/- iff -/
definition iff (a b : Prop) := (a → b) ∧ (b → a)
notation a <-> b := iff a b
notation a ↔ b := iff a b
theorem iff.intro : (a → b) → (b → a) → (a ↔ b) := and.intro
attribute iff.intro [intro!]
theorem iff.elim : ((a → b) → (b → a) → c) → (a ↔ b) → c := and.rec
attribute iff.elim [recursor 5] [elim]
theorem iff.elim_left : (a ↔ b) → a → b := and.left
definition iff.mp := @iff.elim_left
theorem iff.elim_right : (a ↔ b) → b → a := and.right
definition iff.mpr := @iff.elim_right
theorem iff.refl [refl] (a : Prop) : a ↔ a :=
iff.intro (assume H, H) (assume H, H)
theorem iff.rfl {a : Prop} : a ↔ a :=
iff.refl a
theorem iff.trans [trans] (H₁ : a ↔ b) (H₂ : b ↔ c) : a ↔ c :=
iff.intro
(assume Ha, iff.mp H₂ (iff.mp H₁ Ha))
(assume Hc, iff.mpr H₁ (iff.mpr H₂ Hc))
theorem iff.symm [symm] (H : a ↔ b) : b ↔ a :=
iff.intro (iff.elim_right H) (iff.elim_left H)
theorem iff.comm : (a ↔ b) ↔ (b ↔ a) :=
iff.intro iff.symm iff.symm
theorem iff.of_eq {a b : Prop} (H : a = b) : a ↔ b :=
eq.rec_on H iff.rfl
theorem not_iff_not_of_iff (H₁ : a ↔ b) : ¬a ↔ ¬b :=
iff.intro
(assume (Hna : ¬ a) (Hb : b), Hna (iff.elim_right H₁ Hb))
(assume (Hnb : ¬ b) (Ha : a), Hnb (iff.elim_left H₁ Ha))
theorem of_iff_true (H : a ↔ true) : a :=
iff.mp (iff.symm H) trivial
theorem not_of_iff_false : (a ↔ false) → ¬a := iff.mp
theorem iff_true_intro (H : a) : a ↔ true :=
iff.intro
(λ Hl, trivial)
(λ Hr, H)
theorem iff_false_intro (H : ¬a) : a ↔ false :=
iff.intro H !false.rec
theorem not_non_contradictory_iff_absurd (a : Prop) : ¬¬¬a ↔ ¬a :=
iff.intro
(λ (Hl : ¬¬¬a) (Ha : a), Hl (non_contradictory_intro Ha))
absurd
theorem imp_congr [congr] (H1 : a ↔ c) (H2 : b ↔ d) : (a → b) ↔ (c → d) :=
iff.intro
(λHab Hc, iff.mp H2 (Hab (iff.mpr H1 Hc)))
(λHcd Ha, iff.mpr H2 (Hcd (iff.mp H1 Ha)))
theorem imp_congr_right (H : a → (b ↔ c)) : (a → b) ↔ (a → c) :=
iff.intro
(take Hab Ha, iff.elim_left (H Ha) (Hab Ha))
(take Hab Ha, iff.elim_right (H Ha) (Hab Ha))
theorem not_not_intro (Ha : a) : ¬¬a :=
assume Hna : ¬a, Hna Ha
theorem not_of_not_not_not (H : ¬¬¬a) : ¬a :=
λ Ha, absurd (not_not_intro Ha) H
theorem not_true [simp] : (¬ true) ↔ false :=
iff_false_intro (not_not_intro trivial)
theorem not_false_iff [simp] : (¬ false) ↔ true :=
iff_true_intro not_false
theorem not_congr [congr] (H : a ↔ b) : ¬a ↔ ¬b :=
iff.intro (λ H₁ H₂, H₁ (iff.mpr H H₂)) (λ H₁ H₂, H₁ (iff.mp H H₂))
theorem ne_self_iff_false [simp] {A : Type} (a : A) : (not (a = a)) ↔ false :=
iff.intro false_of_ne false.elim
theorem eq_self_iff_true [simp] {A : Type} (a : A) : (a = a) ↔ true :=
iff_true_intro rfl
theorem heq_self_iff_true [simp] {A : Type} (a : A) : (a == a) ↔ true :=
iff_true_intro (heq.refl a)
theorem iff_not_self [simp] (a : Prop) : (a ↔ ¬a) ↔ false :=
iff_false_intro (λ H,
have H' : ¬a, from (λ Ha, (iff.mp H Ha) Ha),
H' (iff.mpr H H'))
theorem not_iff_self [simp] (a : Prop) : (¬a ↔ a) ↔ false :=
iff_false_intro (λ H,
have H' : ¬a, from (λ Ha, (iff.mpr H Ha) Ha),
H' (iff.mp H H'))
theorem true_iff_false [simp] : (true ↔ false) ↔ false :=
iff_false_intro (λ H, iff.mp H trivial)
theorem false_iff_true [simp] : (false ↔ true) ↔ false :=
iff_false_intro (λ H, iff.mpr H trivial)
theorem false_of_true_iff_false : (true ↔ false) → false :=
assume H, iff.mp H trivial
/- and simp rules -/
theorem and.imp (H₂ : a → c) (H₃ : b → d) : a ∧ b → c ∧ d :=
and.rec (λHa Hb, and.intro (H₂ Ha) (H₃ Hb))
theorem and_congr [congr] (H1 : a ↔ c) (H2 : b ↔ d) : (a ∧ b) ↔ (c ∧ d) :=
iff.intro (and.imp (iff.mp H1) (iff.mp H2)) (and.imp (iff.mpr H1) (iff.mpr H2))
theorem and_congr_right (H : a → (b ↔ c)) : (a ∧ b) ↔ (a ∧ c) :=
iff.intro
(take Hab, obtain `a` `b`, from Hab, and.intro `a` (iff.elim_left (H `a`) `b`))
(take Hac, obtain `a` `c`, from Hac, and.intro `a` (iff.elim_right (H `a`) `c`))
theorem and.comm [simp] : a ∧ b ↔ b ∧ a :=
iff.intro and.swap and.swap
theorem and.assoc [simp] : (a ∧ b) ∧ c ↔ a ∧ (b ∧ c) :=
iff.intro
(and.rec (λ H' Hc, and.rec (λ Ha Hb, and.intro Ha (and.intro Hb Hc)) H'))
(and.rec (λ Ha, and.rec (λ Hb Hc, and.intro (and.intro Ha Hb) Hc)))
theorem and.left_comm [simp] : a ∧ (b ∧ c) ↔ b ∧ (a ∧ c) :=
iff.trans (iff.symm !and.assoc) (iff.trans (and_congr !and.comm !iff.refl) !and.assoc)
theorem and_iff_left {a b : Prop} (Hb : b) : (a ∧ b) ↔ a :=
iff.intro and.left (λHa, and.intro Ha Hb)
theorem and_iff_right {a b : Prop} (Ha : a) : (a ∧ b) ↔ b :=
iff.intro and.right (and.intro Ha)
theorem and_true [simp] (a : Prop) : a ∧ true ↔ a :=
and_iff_left trivial
theorem true_and [simp] (a : Prop) : true ∧ a ↔ a :=
and_iff_right trivial
theorem and_false [simp] (a : Prop) : a ∧ false ↔ false :=
iff_false_intro and.right
theorem false_and [simp] (a : Prop) : false ∧ a ↔ false :=
iff_false_intro and.left
theorem not_and_self [simp] (a : Prop) : (¬a ∧ a) ↔ false :=
iff_false_intro (λ H, and.elim H (λ H₁ H₂, absurd H₂ H₁))
theorem and_not_self [simp] (a : Prop) : (a ∧ ¬a) ↔ false :=
iff_false_intro (λ H, and.elim H (λ H₁ H₂, absurd H₁ H₂))
theorem and_self [simp] (a : Prop) : a ∧ a ↔ a :=
iff.intro and.left (assume H, and.intro H H)
/- or simp rules -/
theorem or.imp (H₂ : a → c) (H₃ : b → d) : a ∨ b → c ∨ d :=
or.rec (λ H, or.inl (H₂ H)) (λ H, or.inr (H₃ H))
theorem or.imp_left (H : a → b) : a ∨ c → b ∨ c :=
or.imp H id
theorem or.imp_right (H : a → b) : c ∨ a → c ∨ b :=
or.imp id H
theorem or_congr [congr] (H1 : a ↔ c) (H2 : b ↔ d) : (a ∨ b) ↔ (c ∨ d) :=
iff.intro (or.imp (iff.mp H1) (iff.mp H2)) (or.imp (iff.mpr H1) (iff.mpr H2))
theorem or.comm [simp] : a ∨ b ↔ b ∨ a := iff.intro or.swap or.swap
theorem or.assoc [simp] : (a ∨ b) ∨ c ↔ a ∨ (b ∨ c) :=
iff.intro
(or.rec (or.imp_right or.inl) (λ H, or.inr (or.inr H)))
(or.rec (λ H, or.inl (or.inl H)) (or.imp_left or.inr))
theorem or.left_comm [simp] : a ∨ (b ∨ c) ↔ b ∨ (a ∨ c) :=
iff.trans (iff.symm !or.assoc) (iff.trans (or_congr !or.comm !iff.refl) !or.assoc)
theorem or_true [simp] (a : Prop) : a ∨ true ↔ true :=
iff_true_intro (or.inr trivial)
theorem true_or [simp] (a : Prop) : true ∨ a ↔ true :=
iff_true_intro (or.inl trivial)
theorem or_false [simp] (a : Prop) : a ∨ false ↔ a :=
iff.intro (or.rec id false.elim) or.inl
theorem false_or [simp] (a : Prop) : false ∨ a ↔ a :=
iff.trans or.comm !or_false
theorem or_self [simp] (a : Prop) : a ∨ a ↔ a :=
iff.intro (or.rec id id) or.inl
/- or resolution rulse -/
definition or.resolve_left {a b : Prop} (H : a ∨ b) (na : ¬ a) : b :=
or.elim H (λ Ha, absurd Ha na) id
definition or.neg_resolve_left {a b : Prop} (H : ¬ a ∨ b) (Ha : a) : b :=
or.elim H (λ na, absurd Ha na) id
definition or.resolve_right {a b : Prop} (H : a ∨ b) (nb : ¬ b) : a :=
or.elim H id (λ Hb, absurd Hb nb)
definition or.neg_resolve_right {a b : Prop} (H : a ∨ ¬ b) (Hb : b) : a :=
or.elim H id (λ nb, absurd Hb nb)
/- iff simp rules -/
theorem iff_true [simp] (a : Prop) : (a ↔ true) ↔ a :=
iff.intro (assume H, iff.mpr H trivial) iff_true_intro
theorem true_iff [simp] (a : Prop) : (true ↔ a) ↔ a :=
iff.trans iff.comm !iff_true
theorem iff_false [simp] (a : Prop) : (a ↔ false) ↔ ¬ a :=
iff.intro and.left iff_false_intro
theorem false_iff [simp] (a : Prop) : (false ↔ a) ↔ ¬ a :=
iff.trans iff.comm !iff_false
theorem iff_self [simp] (a : Prop) : (a ↔ a) ↔ true :=
iff_true_intro iff.rfl
theorem iff_congr [congr] (H1 : a ↔ c) (H2 : b ↔ d) : (a ↔ b) ↔ (c ↔ d) :=
and_congr (imp_congr H1 H2) (imp_congr H2 H1)
/- exists -/
inductive Exists {A : Type} (P : A → Prop) : Prop :=
intro : ∀ (a : A), P a → Exists P
attribute Exists.intro [intro]
definition exists.intro := @Exists.intro
notation `exists` binders `, ` r:(scoped P, Exists P) := r
notation `∃` binders `, ` r:(scoped P, Exists P) := r
attribute Exists.rec [elim]
theorem exists.elim {A : Type} {p : A → Prop} {B : Prop}
(H1 : ∃x, p x) (H2 : ∀ (a : A), p a → B) : B :=
Exists.rec H2 H1
/- exists unique -/
definition exists_unique {A : Type} (p : A → Prop) :=
∃x, p x ∧ ∀y, p y → y = x
notation `∃!` binders `, ` r:(scoped P, exists_unique P) := r
theorem exists_unique.intro [intro] {A : Type} {p : A → Prop} (w : A) (H1 : p w) (H2 : ∀y, p y → y = w) :
∃!x, p x :=
exists.intro w (and.intro H1 H2)
theorem exists_unique.elim [recursor 4] [elim] {A : Type} {p : A → Prop} {b : Prop}
(H2 : ∃!x, p x) (H1 : ∀x, p x → (∀y, p y → y = x) → b) : b :=
exists.elim H2 (λ w Hw, H1 w (and.left Hw) (and.right Hw))
theorem exists_unique_of_exists_of_unique {A : Type} {p : A → Prop}
(Hex : ∃ x, p x) (Hunique : ∀ y₁ y₂, p y₁ → p y₂ → y₁ = y₂) : ∃! x, p x :=
exists.elim Hex (λ x px, exists_unique.intro x px (take y, suppose p y, Hunique y x this px))
theorem exists_of_exists_unique {A : Type} {p : A → Prop} (H : ∃! x, p x) : ∃ x, p x :=
exists.elim H (λ x Hx, exists.intro x (and.left Hx))
theorem unique_of_exists_unique {A : Type} {p : A → Prop}
(H : ∃! x, p x) {y₁ y₂ : A} (py₁ : p y₁) (py₂ : p y₂) : y₁ = y₂ :=
exists_unique.elim H
(take x, suppose p x,
assume unique : ∀ y, p y → y = x,
show y₁ = y₂, from eq.trans (unique _ py₁) (eq.symm (unique _ py₂)))
/- exists, forall, exists unique congruences -/
section
variables {A : Type} {p₁ p₂ : A → Prop}
theorem forall_congr [congr] {A : Type} {P Q : A → Prop} (H : ∀a, (P a ↔ Q a)) : (∀a, P a) ↔ ∀a, Q a :=
iff.intro (λp a, iff.mp (H a) (p a)) (λq a, iff.mpr (H a) (q a))
theorem exists_imp_exists {A : Type} {P Q : A → Prop} (H : ∀a, (P a → Q a)) (p : ∃a, P a) : ∃a, Q a :=
exists.elim p (λa Hp, exists.intro a (H a Hp))
theorem exists_congr [congr] {A : Type} {P Q : A → Prop} (H : ∀a, (P a ↔ Q a)) : (∃a, P a) ↔ ∃a, Q a :=
iff.intro
(exists_imp_exists (λa, iff.mp (H a)))
(exists_imp_exists (λa, iff.mpr (H a)))
theorem exists_unique_congr [congr] (H : ∀ x, p₁ x ↔ p₂ x) : (∃! x, p₁ x) ↔ (∃! x, p₂ x) :=
exists_congr (λx, and_congr (H x) (forall_congr (λy, imp_congr (H y) iff.rfl)))
end
/- decidable -/
inductive decidable [class] (p : Prop) : Type :=
| inl : p → decidable p
| inr : ¬p → decidable p
definition decidable_true [instance] : decidable true :=
decidable.inl trivial
definition decidable_false [instance] : decidable false :=
decidable.inr not_false
-- We use "dependent" if-then-else to be able to communicate the if-then-else condition
-- to the branches
definition dite (c : Prop) [H : decidable c] {A : Type} : (c → A) → (¬ c → A) → A :=
decidable.rec_on H
/- if-then-else -/
definition ite (c : Prop) [H : decidable c] {A : Type} (t e : A) : A :=
decidable.rec_on H (λ Hc, t) (λ Hnc, e)
namespace decidable
variables {p q : Prop}
definition rec_on_true [H : decidable p] {H1 : p → Type} {H2 : ¬p → Type} (H3 : p) (H4 : H1 H3)
: decidable.rec_on H H1 H2 :=
decidable.rec_on H (λh, H4) (λh, !false.rec (h H3))
definition rec_on_false [H : decidable p] {H1 : p → Type} {H2 : ¬p → Type} (H3 : ¬p) (H4 : H2 H3)
: decidable.rec_on H H1 H2 :=
decidable.rec_on H (λh, false.rec _ (H3 h)) (λh, H4)
definition by_cases {q : Type} [C : decidable p] : (p → q) → (¬p → q) → q := !dite
theorem em (p : Prop) [decidable p] : p ∨ ¬p := by_cases or.inl or.inr
theorem by_contradiction [decidable p] (H : ¬p → false) : p :=
if H1 : p then H1 else false.rec _ (H H1)
end decidable
section
variables {p q : Prop}
open decidable
definition decidable_of_decidable_of_iff (Hp : decidable p) (H : p ↔ q) : decidable q :=
if Hp : p then inl (iff.mp H Hp)
else inr (iff.mp (not_iff_not_of_iff H) Hp)
definition decidable_of_decidable_of_eq (Hp : decidable p) (H : p = q) : decidable q :=
decidable_of_decidable_of_iff Hp (iff.of_eq H)
protected definition or.by_cases [decidable p] [decidable q] {A : Type}
(h : p ∨ q) (h₁ : p → A) (h₂ : q → A) : A :=
if hp : p then h₁ hp else
if hq : q then h₂ hq else
false.rec _ (or.elim h hp hq)
end
section
variables {p q : Prop}
open decidable (rec_on inl inr)
definition decidable_and [instance] [decidable p] [decidable q] : decidable (p ∧ q) :=
if hp : p then
if hq : q then inl (and.intro hp hq)
else inr (assume H : p ∧ q, hq (and.right H))
else inr (assume H : p ∧ q, hp (and.left H))
definition decidable_or [instance] [decidable p] [decidable q] : decidable (p ∨ q) :=
if hp : p then inl (or.inl hp) else
if hq : q then inl (or.inr hq) else
inr (or.rec hp hq)
definition decidable_not [instance] [decidable p] : decidable (¬p) :=
if hp : p then inr (absurd hp) else inl hp
definition decidable_implies [instance] [decidable p] [decidable q] : decidable (p → q) :=
if hp : p then
if hq : q then inl (assume H, hq)
else inr (assume H : p → q, absurd (H hp) hq)
else inl (assume Hp, absurd Hp hp)
definition decidable_iff [instance] [decidable p] [decidable q] : decidable (p ↔ q) :=
decidable_and
end
definition decidable_pred [reducible] {A : Type} (R : A → Prop) := Π (a : A), decidable (R a)
definition decidable_rel [reducible] {A : Type} (R : A → A → Prop) := Π (a b : A), decidable (R a b)
definition decidable_eq [reducible] (A : Type) := decidable_rel (@eq A)
definition decidable_ne [instance] {A : Type} [decidable_eq A] (a b : A) : decidable (a ≠ b) :=
decidable_implies
namespace bool
theorem ff_ne_tt : ff = tt → false
| [none]
end bool
open bool
definition is_dec_eq {A : Type} (p : A → A → bool) : Prop := ∀ ⦃x y : A⦄, p x y = tt → x = y
definition is_dec_refl {A : Type} (p : A → A → bool) : Prop := ∀x, p x x = tt
open decidable
protected definition bool.has_decidable_eq [instance] : ∀a b : bool, decidable (a = b)
| ff ff := inl rfl
| ff tt := inr ff_ne_tt
| tt ff := inr (ne.symm ff_ne_tt)
| tt tt := inl rfl
definition decidable_eq_of_bool_pred {A : Type} {p : A → A → bool} (H₁ : is_dec_eq p) (H₂ : is_dec_refl p) : decidable_eq A :=
take x y : A, if Hp : p x y = tt then inl (H₁ Hp)
else inr (assume Hxy : x = y, (eq.subst Hxy Hp) (H₂ y))
theorem decidable_eq_inl_refl {A : Type} [H : decidable_eq A] (a : A) : H a a = inl (eq.refl a) :=
match H a a with
| inl e := rfl
| inr n := absurd rfl n
end
open eq.ops
theorem decidable_eq_inr_neg {A : Type} [H : decidable_eq A] {a b : A} : Π n : a ≠ b, H a b = inr n :=
assume n,
match H a b with
| inl e := absurd e n
| inr n₁ := proof_irrel n n₁ ▸ rfl
end
/- inhabited -/
inductive inhabited [class] (A : Type) : Type :=
mk : A → inhabited A
protected definition inhabited.value {A : Type} : inhabited A → A :=
inhabited.rec (λa, a)
protected definition inhabited.destruct {A : Type} {B : Type} (H1 : inhabited A) (H2 : A → B) : B :=
inhabited.rec H2 H1
definition default (A : Type) [H : inhabited A] : A :=
inhabited.value H
definition arbitrary [irreducible] (A : Type) [H : inhabited A] : A :=
inhabited.value H
definition Prop.is_inhabited [instance] : inhabited Prop :=
inhabited.mk true
definition inhabited_fun [instance] (A : Type) {B : Type} [H : inhabited B] : inhabited (A → B) :=
inhabited.rec_on H (λb, inhabited.mk (λa, b))
definition inhabited_Pi [instance] (A : Type) {B : A → Type} [Πx, inhabited (B x)] :
inhabited (Πx, B x) :=
inhabited.mk (λa, !default)
protected definition bool.is_inhabited [instance] : inhabited bool :=
inhabited.mk ff
protected definition pos_num.is_inhabited [instance] : inhabited pos_num :=
inhabited.mk pos_num.one
protected definition num.is_inhabited [instance] : inhabited num :=
inhabited.mk num.zero
inductive nonempty [class] (A : Type) : Prop :=
intro : A → nonempty A
protected definition nonempty.elim {A : Type} {B : Prop} (H1 : nonempty A) (H2 : A → B) : B :=
nonempty.rec H2 H1
theorem nonempty_of_inhabited [instance] {A : Type} [inhabited A] : nonempty A :=
nonempty.intro !default
theorem nonempty_of_exists {A : Type} {P : A → Prop} : (∃x, P x) → nonempty A :=
Exists.rec (λw H, nonempty.intro w)
/- subsingleton -/
inductive subsingleton [class] (A : Type) : Prop :=
intro : (∀ a b : A, a = b) → subsingleton A
protected definition subsingleton.elim {A : Type} [H : subsingleton A] : ∀(a b : A), a = b :=
subsingleton.rec (λp, p) H
protected definition subsingleton.helim {A B : Type} [H : subsingleton A] (h : A = B) (a : A) (b : B) : a == b :=
by induction h; apply heq_of_eq; apply subsingleton.elim
definition subsingleton_prop [instance] (p : Prop) : subsingleton p :=
subsingleton.intro (λa b, !proof_irrel)
definition subsingleton_decidable [instance] (p : Prop) : subsingleton (decidable p) :=
subsingleton.intro (λ d₁,
match d₁ with
| inl t₁ := (λ d₂,
match d₂ with
| inl t₂ := eq.rec_on (proof_irrel t₁ t₂) rfl
| inr f₂ := absurd t₁ f₂
end)
| inr f₁ := (λ d₂,
match d₂ with
| inl t₂ := absurd t₂ f₁
| inr f₂ := eq.rec_on (proof_irrel f₁ f₂) rfl
end)
end)
protected theorem rec_subsingleton {p : Prop} [H : decidable p]
{H1 : p → Type} {H2 : ¬p → Type}
[H3 : Π(h : p), subsingleton (H1 h)] [H4 : Π(h : ¬p), subsingleton (H2 h)]
: subsingleton (decidable.rec_on H H1 H2) :=
decidable.rec_on H (λh, H3 h) (λh, H4 h) --this can be proven using dependent version of "by_cases"
theorem if_pos {c : Prop} [H : decidable c] (Hc : c) {A : Type} {t e : A} : (ite c t e) = t :=
decidable.rec
(λ Hc : c, eq.refl (@ite c (decidable.inl Hc) A t e))
(λ Hnc : ¬c, absurd Hc Hnc)
H
theorem if_neg {c : Prop} [H : decidable c] (Hnc : ¬c) {A : Type} {t e : A} : (ite c t e) = e :=
decidable.rec
(λ Hc : c, absurd Hc Hnc)
(λ Hnc : ¬c, eq.refl (@ite c (decidable.inr Hnc) A t e))
H
theorem if_t_t [simp] (c : Prop) [H : decidable c] {A : Type} (t : A) : (ite c t t) = t :=
decidable.rec
(λ Hc : c, eq.refl (@ite c (decidable.inl Hc) A t t))
(λ Hnc : ¬c, eq.refl (@ite c (decidable.inr Hnc) A t t))
H
theorem implies_of_if_pos {c t e : Prop} [decidable c] (h : ite c t e) : c → t :=
assume Hc, eq.rec_on (if_pos Hc) h
theorem implies_of_if_neg {c t e : Prop} [decidable c] (h : ite c t e) : ¬c → e :=
assume Hnc, eq.rec_on (if_neg Hnc) h
theorem if_ctx_congr {A : Type} {b c : Prop} [dec_b : decidable b] [dec_c : decidable c]
{x y u v : A}
(h_c : b ↔ c) (h_t : c → x = u) (h_e : ¬c → y = v) :
ite b x y = ite c u v :=
decidable.rec_on dec_b
(λ hp : b, calc
ite b x y = x : if_pos hp
... = u : h_t (iff.mp h_c hp)
... = ite c u v : if_pos (iff.mp h_c hp))
(λ hn : ¬b, calc
ite b x y = y : if_neg hn
... = v : h_e (iff.mp (not_iff_not_of_iff h_c) hn)
... = ite c u v : if_neg (iff.mp (not_iff_not_of_iff h_c) hn))
theorem if_congr [congr] {A : Type} {b c : Prop} [dec_b : decidable b] [dec_c : decidable c]
{x y u v : A}
(h_c : b ↔ c) (h_t : x = u) (h_e : y = v) :
ite b x y = ite c u v :=
@if_ctx_congr A b c dec_b dec_c x y u v h_c (λ h, h_t) (λ h, h_e)
theorem if_ctx_simp_congr {A : Type} {b c : Prop} [dec_b : decidable b] {x y u v : A}
(h_c : b ↔ c) (h_t : c → x = u) (h_e : ¬c → y = v) :
ite b x y = (@ite c (decidable_of_decidable_of_iff dec_b h_c) A u v) :=
@if_ctx_congr A b c dec_b (decidable_of_decidable_of_iff dec_b h_c) x y u v h_c h_t h_e
theorem if_simp_congr [congr] {A : Type} {b c : Prop} [dec_b : decidable b] {x y u v : A}
(h_c : b ↔ c) (h_t : x = u) (h_e : y = v) :
ite b x y = (@ite c (decidable_of_decidable_of_iff dec_b h_c) A u v) :=
@if_ctx_simp_congr A b c dec_b x y u v h_c (λ h, h_t) (λ h, h_e)
definition if_true [simp] {A : Type} (t e : A) : (if true then t else e) = t :=
if_pos trivial
definition if_false [simp] {A : Type} (t e : A) : (if false then t else e) = e :=
if_neg not_false
theorem if_ctx_congr_prop {b c x y u v : Prop} [dec_b : decidable b] [dec_c : decidable c]
(h_c : b ↔ c) (h_t : c → (x ↔ u)) (h_e : ¬c → (y ↔ v)) :
ite b x y ↔ ite c u v :=
decidable.rec_on dec_b
(λ hp : b, calc
ite b x y ↔ x : iff.of_eq (if_pos hp)
... ↔ u : h_t (iff.mp h_c hp)
... ↔ ite c u v : iff.of_eq (if_pos (iff.mp h_c hp)))
(λ hn : ¬b, calc
ite b x y ↔ y : iff.of_eq (if_neg hn)
... ↔ v : h_e (iff.mp (not_iff_not_of_iff h_c) hn)
... ↔ ite c u v : iff.of_eq (if_neg (iff.mp (not_iff_not_of_iff h_c) hn)))
theorem if_congr_prop [congr] {b c x y u v : Prop} [dec_b : decidable b] [dec_c : decidable c]
(h_c : b ↔ c) (h_t : x ↔ u) (h_e : y ↔ v) :
ite b x y ↔ ite c u v :=
if_ctx_congr_prop h_c (λ h, h_t) (λ h, h_e)
theorem if_ctx_simp_congr_prop {b c x y u v : Prop} [dec_b : decidable b]
(h_c : b ↔ c) (h_t : c → (x ↔ u)) (h_e : ¬c → (y ↔ v)) :
ite b x y ↔ (@ite c (decidable_of_decidable_of_iff dec_b h_c) Prop u v) :=
@if_ctx_congr_prop b c x y u v dec_b (decidable_of_decidable_of_iff dec_b h_c) h_c h_t h_e
theorem if_simp_congr_prop [congr] {b c x y u v : Prop} [dec_b : decidable b]
(h_c : b ↔ c) (h_t : x ↔ u) (h_e : y ↔ v) :
ite b x y ↔ (@ite c (decidable_of_decidable_of_iff dec_b h_c) Prop u v) :=
@if_ctx_simp_congr_prop b c x y u v dec_b h_c (λ h, h_t) (λ h, h_e)
theorem dif_pos {c : Prop} [H : decidable c] (Hc : c) {A : Type} {t : c → A} {e : ¬ c → A} : dite c t e = t Hc :=
decidable.rec
(λ Hc : c, eq.refl (@dite c (decidable.inl Hc) A t e))
(λ Hnc : ¬c, absurd Hc Hnc)
H
theorem dif_neg {c : Prop} [H : decidable c] (Hnc : ¬c) {A : Type} {t : c → A} {e : ¬ c → A} : dite c t e = e Hnc :=
decidable.rec
(λ Hc : c, absurd Hc Hnc)
(λ Hnc : ¬c, eq.refl (@dite c (decidable.inr Hnc) A t e))
H
theorem dif_ctx_congr {A : Type} {b c : Prop} [dec_b : decidable b] [dec_c : decidable c]
{x : b → A} {u : c → A} {y : ¬b → A} {v : ¬c → A}
(h_c : b ↔ c)
(h_t : ∀ (h : c), x (iff.mpr h_c h) = u h)
(h_e : ∀ (h : ¬c), y (iff.mpr (not_iff_not_of_iff h_c) h) = v h) :
(@dite b dec_b A x y) = (@dite c dec_c A u v) :=
decidable.rec_on dec_b
(λ hp : b, calc
dite b x y = x hp : dif_pos hp
... = x (iff.mpr h_c (iff.mp h_c hp)) : proof_irrel
... = u (iff.mp h_c hp) : h_t
... = dite c u v : dif_pos (iff.mp h_c hp))
(λ hn : ¬b, let h_nc : ¬b ↔ ¬c := not_iff_not_of_iff h_c in calc
dite b x y = y hn : dif_neg hn
... = y (iff.mpr h_nc (iff.mp h_nc hn)) : proof_irrel
... = v (iff.mp h_nc hn) : h_e
... = dite c u v : dif_neg (iff.mp h_nc hn))
theorem dif_ctx_simp_congr {A : Type} {b c : Prop} [dec_b : decidable b]
{x : b → A} {u : c → A} {y : ¬b → A} {v : ¬c → A}
(h_c : b ↔ c)
(h_t : ∀ (h : c), x (iff.mpr h_c h) = u h)
(h_e : ∀ (h : ¬c), y (iff.mpr (not_iff_not_of_iff h_c) h) = v h) :
(@dite b dec_b A x y) = (@dite c (decidable_of_decidable_of_iff dec_b h_c) A u v) :=
@dif_ctx_congr A b c dec_b (decidable_of_decidable_of_iff dec_b h_c) x u y v h_c h_t h_e
-- Remark: dite and ite are "definitionally equal" when we ignore the proofs.
theorem dite_ite_eq (c : Prop) [decidable c] {A : Type} (t : A) (e : A) : dite c (λh, t) (λh, e) = ite c t e :=
rfl
definition is_true (c : Prop) [decidable c] : Prop :=
if c then true else false
definition is_false (c : Prop) [decidable c] : Prop :=
if c then false else true
definition of_is_true {c : Prop} [H₁ : decidable c] (H₂ : is_true c) : c :=
decidable.rec_on H₁ (λ Hc, Hc) (λ Hnc, !false.rec (if_neg Hnc ▸ H₂))
notation `dec_trivial` := of_is_true trivial
theorem not_of_not_is_true {c : Prop} [decidable c] (H : ¬ is_true c) : ¬ c :=
if Hc : c then absurd trivial (if_pos Hc ▸ H) else Hc
theorem not_of_is_false {c : Prop} [decidable c] (H : is_false c) : ¬ c :=
if Hc : c then !false.rec (if_pos Hc ▸ H) else Hc
theorem of_not_is_false {c : Prop} [decidable c] (H : ¬ is_false c) : c :=
if Hc : c then Hc else absurd trivial (if_neg Hc ▸ H)
-- The following symbols should not be considered in the pattern inference procedure used by
-- heuristic instantiation.
attribute and or not iff ite dite eq ne heq [no_pattern]
-- namespace used to collect congruence rules for "contextual simplification"
namespace contextual
attribute if_ctx_simp_congr [congr]
attribute if_ctx_simp_congr_prop [congr]
attribute dif_ctx_simp_congr [congr]
end contextual
|
cab756d99f264421eb06ff7afb01ae6d62fda401 | 4727251e0cd73359b15b664c3170e5d754078599 | /src/data/mv_polynomial/cardinal.lean | d923f8ba7c13761cc2c586029fba4e493e57fbd7 | [
"Apache-2.0"
] | permissive | Vierkantor/mathlib | 0ea59ac32a3a43c93c44d70f441c4ee810ccceca | 83bc3b9ce9b13910b57bda6b56222495ebd31c2f | refs/heads/master | 1,658,323,012,449 | 1,652,256,003,000 | 1,652,256,003,000 | 209,296,341 | 0 | 1 | Apache-2.0 | 1,568,807,655,000 | 1,568,807,655,000 | null | UTF-8 | Lean | false | false | 4,304 | lean | /-
Copyright (c) 2021 Chris Hughes. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Chris Hughes
-/
import data.W.cardinal
import data.mv_polynomial.basic
/-!
# Cardinality of Polynomial Ring
The main result in this file is `mv_polynomial.cardinal_mk_le_max`, which says that
the cardinality of `mv_polynomial σ R` is bounded above by the maximum of `#R`, `#σ`
and `ω`.
-/
universes u
/-
The definitions `mv_polynomial_fun` and `arity` are motivated by defining the following
inductive type as a `W_type` in order to be able to use theorems about the cardinality
of `W_type`.
inductive mv_polynomial_term (σ R : Type u) : Type u
| of_ring : R → mv_polynomial_term
| X : σ → mv_polynomial_term
| add : mv_polynomial_term → mv_polynomial_term → mv_polynomial_term
| mul : mv_polynomial_term → mv_polynomial_term → mv_polynomial_term
`W_type (arity σ R)` is isomorphic to the above type.
-/
open cardinal
open_locale cardinal
/-- A type used to prove theorems about the cardinality of `mv_polynomial σ R`. The
`W_type (arity σ R)` has a constant for every element of `R` and `σ` and two binary functions. -/
private def mv_polynomial_fun (σ R : Type u) : Type u :=
R ⊕ σ ⊕ ulift.{u} bool
variables (σ R : Type u)
/-- A function used to prove theorems about the cardinality of `mv_polynomial σ R`.
The type ``W_type (arity σ R)` has a constant for every element of `R` and `σ` and two binary
functions. -/
private def arity : mv_polynomial_fun σ R → Type u
| (sum.inl _) := pempty
| (sum.inr (sum.inl _)) := pempty
| (sum.inr (sum.inr ⟨ff⟩)) := ulift bool
| (sum.inr (sum.inr ⟨tt⟩)) := ulift bool
private def arity_fintype (x : mv_polynomial_fun σ R) : fintype (arity σ R x) :=
by rcases x with x | x | ⟨_ | _⟩; dsimp [arity]; apply_instance
local attribute [instance] arity_fintype
variables {σ R}
variables [comm_semiring R]
/-- The surjection from `W_type (arity σ R)` into `mv_polynomial σ R`. -/
private noncomputable def to_mv_polynomial :
W_type (arity σ R) → mv_polynomial σ R
| ⟨sum.inl r, _⟩ := mv_polynomial.C r
| ⟨sum.inr (sum.inl i), _⟩ := mv_polynomial.X i
| ⟨sum.inr (sum.inr ⟨ff⟩), f⟩ :=
to_mv_polynomial (f (ulift.up tt)) * to_mv_polynomial (f (ulift.up ff))
| ⟨sum.inr (sum.inr ⟨tt⟩), f⟩ :=
to_mv_polynomial (f (ulift.up tt)) + to_mv_polynomial (f (ulift.up ff))
private lemma to_mv_polynomial_surjective : function.surjective (@to_mv_polynomial σ R _) :=
begin
intro p,
induction p using mv_polynomial.induction_on with x p₁ p₂ ih₁ ih₂ p i ih,
{ exact ⟨W_type.mk (sum.inl x) pempty.elim, rfl⟩ },
{ rcases ih₁ with ⟨w₁, rfl⟩,
rcases ih₂ with ⟨w₂, rfl⟩,
exact ⟨W_type.mk (sum.inr (sum.inr ⟨tt⟩)) (λ x, cond x.down w₁ w₂),
by simp [to_mv_polynomial]⟩ },
{ rcases ih with ⟨w, rfl⟩,
exact ⟨W_type.mk (sum.inr (sum.inr ⟨ff⟩)) (λ x, cond x.down w (W_type.mk
(sum.inr (sum.inl i)) pempty.elim)), by simp [to_mv_polynomial]⟩ }
end
private lemma cardinal_mv_polynomial_fun_le : #(mv_polynomial_fun σ R) ≤ max (max (#R) (#σ)) ω :=
calc #(mv_polynomial_fun σ R) = #R + #σ + #(ulift bool) :
by dsimp [mv_polynomial_fun]; simp only [← add_def, add_assoc, cardinal.mk_ulift]
... ≤ max (max (#R + #σ) (#(ulift bool))) ω : add_le_max _ _
... ≤ max (max (max (max (#R) (#σ)) ω) (#(ulift bool))) ω :
max_le_max (max_le_max (add_le_max _ _) le_rfl) le_rfl
... ≤ _ : by simp only [max_comm omega.{u}, max_assoc, max_left_comm omega.{u}, max_self,
max_eq_left (lt_omega_of_fintype (ulift.{u} bool)).le]
namespace mv_polynomial
/-- The cardinality of the multivariate polynomial ring, `mv_polynomial σ R` is at most the maximum
of `#R`, `#σ` and `ω` -/
lemma cardinal_mk_le_max {σ R : Type u} [comm_semiring R] :
#(mv_polynomial σ R) ≤ max (max (#R) (#σ)) ω :=
calc #(mv_polynomial σ R) ≤ #(W_type (arity σ R)) :
cardinal.mk_le_of_surjective to_mv_polynomial_surjective
... ≤ max (#(mv_polynomial_fun σ R)) ω : W_type.cardinal_mk_le_max_omega_of_fintype
... ≤ _ : max_le_max cardinal_mv_polynomial_fun_le le_rfl
... ≤ _ : by simp only [max_assoc, max_self]
end mv_polynomial
|
b1eb9c4703133a4488611a2e78c255ecd4a32f7e | 6e36ebd5594a0d512dea8bc6ffe78c71b5b5032d | /src/mywork/Lectures/lecture_8.lean | a5e84c407730e46956275b94c1e2b8f7378fe962 | [] | no_license | wrw2ztk/cs2120f21 | cdc4b1b4043c8ae8f3c8c3c0e91cdacb2cfddb16 | f55df4c723d3ce989908679f5653e4be669334ae | refs/heads/main | 1,691,764,473,342 | 1,633,707,809,000 | 1,633,707,809,000 | null | 0 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 4,804 | lean | theorem and_associative : ∀ (P Q R : Prop), (P ∧ Q) ∧ R → P ∧ (Q ∧ R) :=
begin
assume P Q R,
assume h,
apply and.intro _ _,
have pq : P ∧ Q := and.elim_left h,
have p : P := and.elim_left pq,
have q : Q := and.elim_right pq,
have r : R := and.elim_right h,
exact p,
have q : Q := and.elim_right pq,
exact (and.intro q r),
end
/-
The or connective, ∨, in predicate logic
join any two propositions, P, Q, into a
larger proposition, P ∨ Q. This proposition
is judged as true if either (or both) P, Q
are true.
-/
/-
Introduction rules (two of them).
There are two ways to prove a proposition,
(P ∨ Q): with a proof of P, or with a proof
of Q. Either will do. We thus have two intro
rules for ∨. They are called the left and
right introduction rules.
The left one takes a proof, let's say, p, of
the left proposition, P (from which it infers)
P along with the right proposition, Q, and then
returns a proof of P ∨ Q. The arguments are
actually given in the other order. The right
introduction rule thus takes the proposition,
P and a proof of the proposition, Q, and also
returns a proof of P ∨ Q.
Exercise: Suppose that it's true (and thus
that we we have a proof) that Joe chews gum.
Give an English proof of the proposition that
(Joe is tall) ∨ (Joe chews gum).
Proof: Apply the right introduction rule for
∨ to (1) our proof that Joe chews gum, and
(2) the proposition that Joe is tall. The
result is the proof we want, of the proposition
(Joe chews gum) ∨ (Joe is tall).
Exercise: Give an English language proof of:
(Joe is tall) ∨ (Joe chews gum).
-/
/-
In Lean, the rules are called or.intro_left
and or.intro_right.
-/
#check @or.intro_left
#check @or.intro_right
/-
In the preceding outputs, you can see that the
arguments that are required explicitly are in
parentheses, and the arguments whose values are
inferred from other arguments are given in {}.
-/
/-
Let's formalize our example in Lean.
-/
axioms (Joe_is_tall Joe_chews_gum : Prop)
axiom jcg: Joe_chews_gum
theorem jcg_or_jit: Joe_chews_gum ∨ Joe_is_tall :=
or.intro_left Joe_is_tall jcg
/-
Exercise: Formalize our second version of this
proposition and a proof of it.
-/
/-
We thus have two inference rules (axioms) that we
can use to create a proof of a "disjunction".
(Q : Prop) {P : Prop} (p : P)
----------------------------- ∨ intro_left
pf : P ∨ Q
(P : Prop) {Q : Prop} (q : Q)
----------------------------- ∨ intro_right
pf : P ∨ Q
-/
/-
Suppose that if Joe is tall then he is funny,
that if Joe chews gum he is also funny, and that
Joe chews gum ∨ Joe is tall. What can we deduce
from these assumptions/facts?
-/
/-
You have just used the elimination rule for ∨.
Here it is a little more generally. Suppose P,
Q, and R are propositions, that P → R and Q → R,
and finally that P ∨ Q is true? What can we then
deduce? Why, R, of course!
{P Q R : Prop} (pq : P ∨ Q) (pr : P → R) (qr : Q → R)
-----------------------------------------------------
pf : R
-/
#check @or.elim
/-
Let's add a few assumptions and see this rule in action.
-/
axioms (P Q R : Prop) (pq : P ∨ Q) (pr : P → R) (qr : Q → R)
example : R := _
axioms
(Joe_is_funny : Prop)
(torf : Joe_is_tall ∨ Joe_chews_gum)
(tf: Joe_is_tall → Joe_is_funny)
(gf : Joe_chews_gum → Joe_is_funny)
example : Joe_is_funny :=
or.elim torf tf gf
/-
In English, under the given assumptions
(axioms, just above) we can prove that Joe
is funny *by cases*. We know that Joe chews
gum OR Joe is tall, so least one of these
cases must hold. Let's consider the cases
in turn.
Case 1: Suppose that (Joe is tall ∨ Joe
chews gum) is true because Joe is tall.
In this case we apply the fact that (Joe
is tall → Joe is funny) to the fact hat
(Joe is tall) to deduce that Joe is funny.
Exercise: What inference rule did we use
right there?
Case 2: The reasoning is similar. Suppose
the disjunction is true because Joe chews
gum. We can use "modus ponens", applying
the fact that (Joe chews gum → Joe is funny)
to deduce (Joe is funny).
Therefore Joe is funny *in either case*,
and *there are no other cases to consider*
so we can deduce that Joe is funny.
-/
/-
Here it is formally!
-/
-- By cases
example : Joe_is_funny :=
begin
cases torf, -- applies or.elim
apply tf h,
apply gf h,
end
-- Equivalent direct application of or.elim
example : Joe_is_funny :=
begin
apply or.elim torf _ _, -- applies or.elim
exact tf,
exact gf,
end
/-
Yay, now how about proving some theorems.
-/
/-
Problem #1: State precisely and prove that
∨ is commutative, in English then formally.
-/
/-
Problem #2: State precisely and prove that ∨
is associative, first in English then formally.
-/ |
a991256963a78a2955dffb10d197b305582fe6f2 | c777c32c8e484e195053731103c5e52af26a25d1 | /src/analysis/locally_convex/strong_topology.lean | a5e444a5729da7879e4c1e3c0620e5490a730e84 | [
"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 | 2,395 | lean | /-
Copyright (c) 2022 Anatole Dedecker. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Anatole Dedecker
-/
import topology.algebra.module.strong_topology
import topology.algebra.module.locally_convex
/-!
# Local convexity of the strong topology
In this file we prove that the strong topology on `E →L[ℝ] F` is locally convex provided that `F` is
locally convex.
## References
* [N. Bourbaki, *Topological Vector Spaces*][bourbaki1987]
## Todo
* Characterization in terms of seminorms
## Tags
locally convex, bounded convergence
-/
open_locale topology uniform_convergence
variables {R 𝕜₁ 𝕜₂ E F : Type*}
namespace continuous_linear_map
variables [add_comm_group E] [topological_space E]
[add_comm_group F] [topological_space F] [topological_add_group F]
section general
variables (R)
variables [ordered_semiring R]
variables [normed_field 𝕜₁] [normed_field 𝕜₂] [module 𝕜₁ E] [module 𝕜₂ F] {σ : 𝕜₁ →+* 𝕜₂}
variables [module R F] [has_continuous_const_smul R F] [locally_convex_space R F]
[smul_comm_class 𝕜₂ R F]
lemma strong_topology.locally_convex_space (𝔖 : set (set E)) (h𝔖₁ : 𝔖.nonempty)
(h𝔖₂ : directed_on (⊆) 𝔖) :
@locally_convex_space R (E →SL[σ] F) _ _ _ (strong_topology σ F 𝔖) :=
begin
letI : topological_space (E →SL[σ] F) := strong_topology σ F 𝔖,
haveI : topological_add_group (E →SL[σ] F) := strong_topology.topological_add_group _ _ _,
refine locally_convex_space.of_basis_zero _ _ _ _
(strong_topology.has_basis_nhds_zero_of_basis _ _ _ h𝔖₁ h𝔖₂
(locally_convex_space.convex_basis_zero R F)) _,
rintros ⟨S, V⟩ ⟨hS, hVmem, hVconvex⟩ f hf g hg a b ha hb hab x hx,
exact hVconvex (hf x hx) (hg x hx) ha hb hab,
end
end general
section bounded_sets
variables [ordered_semiring R]
variables [normed_field 𝕜₁] [normed_field 𝕜₂] [module 𝕜₁ E] [module 𝕜₂ F] {σ : 𝕜₁ →+* 𝕜₂}
variables [module R F] [has_continuous_const_smul R F] [locally_convex_space R F]
[smul_comm_class 𝕜₂ R F]
instance : locally_convex_space R (E →SL[σ] F) :=
strong_topology.locally_convex_space R _ ⟨∅, bornology.is_vonN_bounded_empty 𝕜₁ E⟩
(directed_on_of_sup_mem $ λ _ _, bornology.is_vonN_bounded.union)
end bounded_sets
end continuous_linear_map
|
07e745e1a1d615c927c27164c934fc12d06d8398 | df561f413cfe0a88b1056655515399c546ff32a5 | /4-power-world/l2.lean | c87b44cc0493305fee714f7415fa92ab856735fb | [] | no_license | nicholaspun/natural-number-game-solutions | 31d5158415c6f582694680044c5c6469032c2a06 | 1e2aed86d2e76a3f4a275c6d99e795ad30cf6df0 | refs/heads/main | 1,675,123,625,012 | 1,607,633,548,000 | 1,607,633,548,000 | 318,933,860 | 3 | 1 | null | null | null | null | UTF-8 | Lean | false | false | 110 | lean | lemma zero_pow_succ (m : mynat) : (0 : mynat) ^ (succ m) = 0 :=
begin
rw pow_succ,
exact mul_zero (0 ^ m),
end |
943609b4b7003d7f760f2e084b65d4ca2aff7ab1 | 6432ea7a083ff6ba21ea17af9ee47b9c371760f7 | /tests/lean/run/tcUnivIssue.lean | 5903cd770b34432b0cf6582f3d99b24ea0c34dc3 | [
"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 | 274 | lean | class L0 where f : Type _
class A0 where a : Type _
class B0 where b : Type _
instance [A0] [B0] : L0 := ⟨A0.a × B0.b⟩
class A1
instance [A1] : A0 := ⟨Nat⟩
class L1 extends A1, B0
class C0 [L0]
-- instance [L1] : L0 := inferInstance
instance [L1] : C0 := ⟨⟩
|
1a5881a05aa3d4cddd4eec7f959f70d5627dede2 | 57c233acf9386e610d99ed20ef139c5f97504ba3 | /src/category_theory/adjunction/reflective.lean | 507f9e29edb0628953eb0655e847b6f1a52473a5 | [
"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 | 7,842 | lean | /-
Copyright (c) 2020 Bhavik Mehta. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Bhavik Mehta
-/
import category_theory.adjunction.fully_faithful
import category_theory.reflects_isomorphisms
import category_theory.epi_mono
/-!
# Reflective functors
Basic properties of reflective functors, especially those relating to their essential image.
Note properties of reflective functors relating to limits and colimits are included in
`category_theory.monad.limits`.
-/
universes v₁ v₂ v₃ u₁ u₂ u₃
noncomputable theory
namespace category_theory
open category adjunction
variables {C : Type u₁} {D : Type u₂} {E : Type u₃}
variables [category.{v₁} C] [category.{v₂} D] [category.{v₃} E]
/--
A functor is *reflective*, or *a reflective inclusion*, if it is fully faithful and right adjoint.
-/
class reflective (R : D ⥤ C) extends is_right_adjoint R, full R, faithful R.
variables {i : D ⥤ C}
/--
For a reflective functor `i` (with left adjoint `L`), with unit `η`, we have `η_iL = iL η`.
-/
-- TODO: This holds more generally for idempotent adjunctions, not just reflective adjunctions.
lemma unit_obj_eq_map_unit [reflective i] (X : C) :
(of_right_adjoint i).unit.app (i.obj ((left_adjoint i).obj X))
= i.map ((left_adjoint i).map ((of_right_adjoint i).unit.app X)) :=
begin
rw [←cancel_mono (i.map ((of_right_adjoint i).counit.app ((left_adjoint i).obj X))),
←i.map_comp],
simp,
end
/--
When restricted to objects in `D` given by `i : D ⥤ C`, the unit is an isomorphism. In other words,
`η_iX` is an isomorphism for any `X` in `D`.
More generally this applies to objects essentially in the reflective subcategory, see
`functor.ess_image.unit_iso`.
-/
instance is_iso_unit_obj [reflective i] {B : D} :
is_iso ((of_right_adjoint i).unit.app (i.obj B)) :=
begin
have : (of_right_adjoint i).unit.app (i.obj B) =
inv (i.map ((of_right_adjoint i).counit.app B)),
{ rw ← comp_hom_eq_id,
apply (of_right_adjoint i).right_triangle_components },
rw this,
exact is_iso.inv_is_iso,
end
/--
If `A` is essentially in the image of a reflective functor `i`, then `η_A` is an isomorphism.
This gives that the "witness" for `A` being in the essential image can instead be given as the
reflection of `A`, with the isomorphism as `η_A`.
(For any `B` in the reflective subcategory, we automatically have that `ε_B` is an iso.)
-/
lemma functor.ess_image.unit_is_iso [reflective i] {A : C} (h : A ∈ i.ess_image) :
is_iso ((of_right_adjoint i).unit.app A) :=
begin
suffices : (of_right_adjoint i).unit.app A =
h.get_iso.inv ≫ (of_right_adjoint i).unit.app (i.obj h.witness) ≫
(left_adjoint i ⋙ i).map h.get_iso.hom,
{ rw this,
apply_instance },
rw ← nat_trans.naturality,
simp,
end
/-- If `η_A` is an isomorphism, then `A` is in the essential image of `i`. -/
lemma mem_ess_image_of_unit_is_iso [is_right_adjoint i] (A : C)
[is_iso ((of_right_adjoint i).unit.app A)] : A ∈ i.ess_image :=
⟨(left_adjoint i).obj A, ⟨(as_iso ((of_right_adjoint i).unit.app A)).symm⟩⟩
/-- If `η_A` is a split monomorphism, then `A` is in the reflective subcategory. -/
lemma mem_ess_image_of_unit_split_mono [reflective i] {A : C}
[split_mono ((of_right_adjoint i).unit.app A)] : A ∈ i.ess_image :=
begin
let η : 𝟭 C ⟶ left_adjoint i ⋙ i := (of_right_adjoint i).unit,
haveI : is_iso (η.app (i.obj ((left_adjoint i).obj A))) := (i.obj_mem_ess_image _).unit_is_iso,
have : epi (η.app A),
{ apply epi_of_epi (retraction (η.app A)) _,
rw (show retraction _ ≫ η.app A = _, from η.naturality (retraction (η.app A))),
apply epi_comp (η.app (i.obj ((left_adjoint i).obj A))) },
resetI,
haveI := is_iso_of_epi_of_split_mono (η.app A),
exact mem_ess_image_of_unit_is_iso A,
end
/-- Composition of reflective functors. -/
instance reflective.comp (F : C ⥤ D) (G : D ⥤ E) [Fr : reflective F] [Gr : reflective G] :
reflective (F ⋙ G) := { to_faithful := faithful.comp F G, }
/-- (Implementation) Auxiliary definition for `unit_comp_partial_bijective`. -/
def unit_comp_partial_bijective_aux [reflective i] (A : C) (B : D) :
(A ⟶ i.obj B) ≃ (i.obj ((left_adjoint i).obj A) ⟶ i.obj B) :=
((adjunction.of_right_adjoint i).hom_equiv _ _).symm.trans (equiv_of_fully_faithful i)
/-- The description of the inverse of the bijection `unit_comp_partial_bijective_aux`. -/
lemma unit_comp_partial_bijective_aux_symm_apply [reflective i] {A : C} {B : D}
(f : i.obj ((left_adjoint i).obj A) ⟶ i.obj B) :
(unit_comp_partial_bijective_aux _ _).symm f = (of_right_adjoint i).unit.app A ≫ f :=
by simp [unit_comp_partial_bijective_aux]
/--
If `i` has a reflector `L`, then the function `(i.obj (L.obj A) ⟶ B) → (A ⟶ B)` given by
precomposing with `η.app A` is a bijection provided `B` is in the essential image of `i`.
That is, the function `λ (f : i.obj (L.obj A) ⟶ B), η.app A ≫ f` is bijective, as long as `B` is in
the essential image of `i`.
This definition gives an equivalence: the key property that the inverse can be described
nicely is shown in `unit_comp_partial_bijective_symm_apply`.
This establishes there is a natural bijection `(A ⟶ B) ≃ (i.obj (L.obj A) ⟶ B)`. In other words,
from the point of view of objects in `D`, `A` and `i.obj (L.obj A)` look the same: specifically
that `η.app A` is an isomorphism.
-/
def unit_comp_partial_bijective [reflective i] (A : C) {B : C} (hB : B ∈ i.ess_image) :
(A ⟶ B) ≃ (i.obj ((left_adjoint i).obj A) ⟶ B) :=
calc (A ⟶ B) ≃ (A ⟶ i.obj hB.witness) : iso.hom_congr (iso.refl _) hB.get_iso.symm
... ≃ (i.obj _ ⟶ i.obj hB.witness) : unit_comp_partial_bijective_aux _ _
... ≃ (i.obj ((left_adjoint i).obj A) ⟶ B) : iso.hom_congr (iso.refl _) hB.get_iso
@[simp]
lemma unit_comp_partial_bijective_symm_apply [reflective i] (A : C) {B : C}
(hB : B ∈ i.ess_image) (f) :
(unit_comp_partial_bijective A hB).symm f = (of_right_adjoint i).unit.app A ≫ f :=
by simp [unit_comp_partial_bijective, unit_comp_partial_bijective_aux_symm_apply]
lemma unit_comp_partial_bijective_symm_natural [reflective i] (A : C) {B B' : C} (h : B ⟶ B')
(hB : B ∈ i.ess_image) (hB' : B' ∈ i.ess_image) (f : i.obj ((left_adjoint i).obj A) ⟶ B) :
(unit_comp_partial_bijective A hB').symm (f ≫ h) =
(unit_comp_partial_bijective A hB).symm f ≫ h :=
by simp
lemma unit_comp_partial_bijective_natural [reflective i] (A : C) {B B' : C} (h : B ⟶ B')
(hB : B ∈ i.ess_image) (hB' : B' ∈ i.ess_image) (f : A ⟶ B) :
(unit_comp_partial_bijective A hB') (f ≫ h) = unit_comp_partial_bijective A hB f ≫ h :=
by rw [←equiv.eq_symm_apply, unit_comp_partial_bijective_symm_natural A h, equiv.symm_apply_apply]
/-- If `i : D ⥤ C` is reflective, the inverse functor of `i ≌ F.ess_image` can be explicitly
defined by the reflector. -/
@[simps]
def equiv_ess_image_of_reflective [reflective i] : D ≌ i.ess_image :=
{ functor := i.to_ess_image,
inverse := i.ess_image_inclusion ⋙ (left_adjoint i : _),
unit_iso := nat_iso.of_components (λ X, (as_iso $ (of_right_adjoint i).counit.app X).symm)
(by { intros X Y f, dsimp, simp only [is_iso.eq_inv_comp, is_iso.comp_inv_eq, category.assoc],
exact ((of_right_adjoint i).counit.naturality _).symm }),
counit_iso := nat_iso.of_components
(λ X, by { refine (iso.symm $ as_iso _), exact (of_right_adjoint i).unit.app X,
apply_with (is_iso_of_reflects_iso _ i.ess_image_inclusion) { instances := ff },
exact functor.ess_image.unit_is_iso X.prop })
(by { intros X Y f, dsimp, simp only [is_iso.eq_inv_comp, is_iso.comp_inv_eq, category.assoc],
exact ((of_right_adjoint i).unit.naturality f).symm }) }
end category_theory
|
b0c2384b33127ad511bad0fe1ce598b3e6fa8ea8 | 74addaa0e41490cbaf2abd313a764c96df57b05d | /Mathlib/category_theory/monad/kleisli.lean | 543b0f06b8448a203ff080e2cb129e15c1b8611a | [] | no_license | AurelienSaue/Mathlib4_auto | f538cfd0980f65a6361eadea39e6fc639e9dae14 | 590df64109b08190abe22358fabc3eae000943f2 | refs/heads/master | 1,683,906,849,776 | 1,622,564,669,000 | 1,622,564,669,000 | 371,723,747 | 0 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 2,603 | lean | /-
Copyright (c) 2020 Wojciech Nawrocki. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Author: Wojciech Nawrocki, Bhavik Mehta
-/
import Mathlib.PrePort
import Mathlib.Lean3Lib.init.default
import Mathlib.category_theory.adjunction.default
import Mathlib.category_theory.monad.adjunction
import Mathlib.category_theory.monad.basic
import Mathlib.PostPort
universes v u
namespace Mathlib
/-! # Kleisli category on a monad
This file defines the Kleisli category on a monad `(T, η_ T, μ_ T)`. It also defines the Kleisli
adjunction which gives rise to the monad `(T, η_ T, μ_ T)`.
## References
* [Riehl, *Category theory in context*, Definition 5.2.9][riehl2017]
-/
namespace category_theory
/--
The objects for the Kleisli category of the functor (usually monad) `T : C ⥤ C`, which are the same
thing as objects of the base category `C`.
-/
def kleisli {C : Type u} [category C] (T : C ⥤ C) :=
C
namespace kleisli
protected instance inhabited {C : Type u} [category C] (T : C ⥤ C) [Inhabited C] : Inhabited (kleisli T) :=
{ default := Inhabited.default }
/-- The Kleisli category on a monad `T`.
cf Definition 5.2.9 in [Riehl][riehl2017]. -/
protected instance kleisli.category {C : Type u} [category C] (T : C ⥤ C) [monad T] : category (kleisli T) :=
category.mk
namespace adjunction
/-- The left adjoint of the adjunction which induces the monad `(T, η_ T, μ_ T)`. -/
def to_kleisli {C : Type u} [category C] (T : C ⥤ C) [monad T] : C ⥤ kleisli T :=
functor.mk (fun (X : C) => X) fun (X Y : C) (f : X ⟶ Y) => f ≫ nat_trans.app η_ Y
/-- The right adjoint of the adjunction which induces the monad `(T, η_ T, μ_ T)`. -/
def from_kleisli {C : Type u} [category C] (T : C ⥤ C) [monad T] : kleisli T ⥤ C :=
functor.mk (fun (X : kleisli T) => functor.obj T X)
fun (X Y : kleisli T) (f : X ⟶ Y) => functor.map T f ≫ nat_trans.app μ_ Y
/-- The Kleisli adjunction which gives rise to the monad `(T, η_ T, μ_ T)`.
cf Lemma 5.2.11 of [Riehl][riehl2017]. -/
def adj {C : Type u} [category C] (T : C ⥤ C) [monad T] : to_kleisli T ⊣ from_kleisli T :=
adjunction.mk_of_hom_equiv
(adjunction.core_hom_equiv.mk fun (X : C) (Y : kleisli T) => equiv.refl (X ⟶ functor.obj T Y))
/-- The composition of the adjunction gives the original functor. -/
def to_kleisli_comp_from_kleisli_iso_self {C : Type u} [category C] (T : C ⥤ C) [monad T] : to_kleisli T ⋙ from_kleisli T ≅ T :=
nat_iso.of_components (fun (X : C) => iso.refl (functor.obj (to_kleisli T ⋙ from_kleisli T) X)) sorry
|
6aef8ec7757e15770e054fc32ee359064494c2fc | cf39355caa609c0f33405126beee2739aa3cb77e | /tests/lean/run/one.lean | 026a7a41e9f8678ce7b7eb6638b3f92d572e3d0f | [
"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 | 316 | lean | inductive {u} one1 : Type (max 1 u)
| unit : one1
set_option pp.universes true
#check one1
inductive {u} one2 : Type (max 1 u)
| unit : one2
#check one2
section foo
universe u2
parameter A : Type u2
inductive {u} wrapper : Type (max 1 u u2)
| mk : A → wrapper
#check wrapper
end foo
#check wrapper
|
95305a157b6da5089c5ffaad1d4f0c320cad9df5 | 2c41ae31b2b771ad5646ad880201393f5269a7f0 | /Lean/Qualities/Impactful.lean | 1ded4eea42fff3e3087126bfb1ff853cf3133877 | [] | no_license | kevinsullivan/Boehm | 926f25bc6f1a8b6bd47d333d936fdfc278228312 | 55208395bff20d48a598b7fa33a4d55a2447a9cf | refs/heads/master | 1,586,127,134,302 | 1,488,252,326,000 | 1,488,252,326,000 | 32,836,930 | 0 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 667 | lean | -- Impactful
/-
[Impactful] is parameterized by an instance of type [SystemType], and it's a sub-attribute to [MissionEffective].
An instance of type [SystemType] is deemed [Impactful] if and only if all the requirements are satisfied.
-/
import SystemModel.System
inductive Impactful (sys_type: SystemType): Prop
| intro : (exists impactful: sys_type ^.Contexts -> sys_type ^.Phases -> sys_type ^.Stakeholders -> @SystemInstance sys_type -> Prop,
forall c: sys_type ^.Contexts, forall p: sys_type ^.Phases,
forall s: sys_type ^.Stakeholders, forall st: @SystemInstance sys_type, impactful c p s st) ->
Impactful
|
a1ab50fcde1e661d6a5c085fa94e97bc6a184db5 | fa02ed5a3c9c0adee3c26887a16855e7841c668b | /archive/imo/imo2008_q3.lean | 6bdee170419cf32b48a83fd1ad3d420612d2d514 | [
"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 | 4,920 | lean | /-
Copyright (c) 2021 Manuel Candales. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Manuel Candales
-/
import data.real.basic
import data.real.sqrt
import data.nat.prime
import number_theory.primes_congruent_one
import number_theory.quadratic_reciprocity
/-!
# IMO 2008 Q3
Prove that there exist infinitely many positive integers `n` such that `n^2 + 1` has a prime
divisor which is greater than `2n + √(2n)`.
# Solution
We first prove the following lemma: for every prime `p > 20`, satisfying `p ≡ 1 [MOD 4]`,
there exists `n ∈ ℕ` such that `p ∣ n^2 + 1` and `p > 2n + √(2n)`. Then the statement of the
problem follows from the fact that there exist infinitely many primes `p ≡ 1 [MOD 4]`.
To prove the lemma, notice that `p ≡ 1 [MOD 4]` implies `∃ n ∈ ℕ` such that `n^2 ≡ -1 [MOD p]`
and we can take this `n` such that `n ≤ p/2`. Let `k = p - 2n ≥ 0`. Then we have:
`k^2 + 4 = (p - 2n)^2 + 4 ≣ 4n^2 + 4 ≡ 0 [MOD p]`. Then `k^2 + 4 ≥ p` and so `k ≥ √(p - 4) > 4`.
Then `p = 2n + k ≥ 2n + √(p - 4) = 2n + √(2n + k - 4) > √(2n)` and we are done.
-/
open real
lemma p_lemma (p : ℕ) (hpp : nat.prime p) (hp_mod_4_eq_1 : p ≡ 1 [MOD 4]) (hp_gt_20 : p > 20) :
∃ n : ℕ, p ∣ n ^ 2 + 1 ∧ (p : ℝ) > 2 * n + sqrt(2 * n) :=
begin
haveI := fact.mk hpp,
have hp_mod_4_ne_3 : p % 4 ≠ 3, { linarith [(show p % 4 = 1, by exact hp_mod_4_eq_1)] },
obtain ⟨y, hy⟩ := (zmod.exists_sq_eq_neg_one_iff_mod_four_ne_three p).mpr hp_mod_4_ne_3,
let m := zmod.val_min_abs y,
let n := int.nat_abs m,
have hnat₁ : p ∣ n ^ 2 + 1,
{ refine int.coe_nat_dvd.mp _,
simp only [int.nat_abs_sq, int.coe_nat_pow, int.coe_nat_succ, int.coe_nat_dvd.mp],
refine (zmod.int_coe_zmod_eq_zero_iff_dvd (m ^ 2 + 1) p).mp _,
simp only [int.cast_pow, int.cast_add, int.cast_one, zmod.coe_val_min_abs],
rw hy, exact add_left_neg 1 },
have hnat₂ : n ≤ p / 2 := zmod.nat_abs_val_min_abs_le y,
have hnat₃ : p ≥ 2 * n, { linarith [nat.div_mul_le_self p 2] },
set k : ℕ := p - 2 * n with hnat₄,
have hnat₅ : p ∣ k ^ 2 + 4,
{ cases hnat₁ with x hx,
let p₁ := (p : ℤ), let n₁ := (n : ℤ), let k₁ := (k : ℤ), let x₁ := (x : ℤ),
have : p₁ ∣ k₁ ^ 2 + 4,
{ use p₁ - 4 * n₁ + 4 * x₁,
have hcast₁ : k₁ = p₁ - 2 * n₁, { assumption_mod_cast },
have hcast₂ : n₁ ^ 2 + 1 = p₁ * x₁, { assumption_mod_cast },
calc k₁ ^ 2 + 4
= (p₁ - 2 * n₁) ^ 2 + 4 : by rw hcast₁
... = p₁ ^ 2 - 4 * p₁ * n₁ + 4 * (n₁ ^ 2 + 1) : by ring
... = p₁ ^ 2 - 4 * p₁ * n₁ + 4 * (p₁ * x₁) : by rw hcast₂
... = p₁ * (p₁ - 4 * n₁ + 4 * x₁) : by ring },
assumption_mod_cast },
have hnat₆ : k ^ 2 + 4 ≥ p := nat.le_of_dvd (k ^ 2 + 3).succ_pos hnat₅,
let p₀ := (p : ℝ), let n₀ := (n : ℝ), let k₀ := (k : ℝ),
have hreal₁ : p₀ = 2 * n₀ + k₀, { linarith [(show k₀ = p₀ - 2 * n₀, by assumption_mod_cast)] },
have hreal₂ : p₀ > 20, { assumption_mod_cast },
have hreal₃ : k₀ ^ 2 + 4 ≥ p₀, { assumption_mod_cast },
have hreal₄ : k₀ ≥ sqrt(p₀ - 4),
{ calc k₀ = sqrt(k₀ ^ 2) : eq.symm (sqrt_sq (nat.cast_nonneg k))
... ≥ sqrt(p₀ - 4) : sqrt_le_sqrt (by linarith [hreal₃]) },
have hreal₅ : k₀ > 4,
{ calc k₀ ≥ sqrt(p₀ - 4) : hreal₄
... > sqrt(4 ^ 2) : (sqrt_lt (by linarith)).mpr (by linarith [hreal₂])
... = 4 : sqrt_sq (by linarith) },
have hreal₆ : p₀ > 2 * n₀ + sqrt(2 * n),
{ calc p₀ = 2 * n₀ + k₀ : hreal₁
... ≥ 2 * n₀ + sqrt(p₀ - 4) : by linarith [hreal₄]
... = 2 * n₀ + sqrt(2 * n₀ + k₀ - 4) : by rw hreal₁
... > 2 * n₀ + sqrt(2 * n₀) : by { refine add_lt_add_left _ (2 * n₀),
refine (sqrt_lt _).mpr _,
refine mul_nonneg zero_le_two (nat.cast_nonneg n),
linarith [hreal₅] } },
exact ⟨n, hnat₁, hreal₆⟩,
end
theorem imo2008_q3 : ∀ N : ℕ, ∃ n : ℕ, n ≥ N ∧
∃ p : ℕ, nat.prime p ∧ p ∣ n ^ 2 + 1 ∧ (p : ℝ) > 2 * n + sqrt(2 * n) :=
begin
intro N,
obtain ⟨p, hpp, hineq₁, hpmod4⟩ := nat.exists_prime_ge_modeq_one 4 (N ^ 2 + 21) zero_lt_four,
obtain ⟨n, hnat, hreal⟩ := p_lemma p hpp hpmod4 (by linarith [hineq₁, nat.zero_le (N ^ 2)]),
have hineq₂ : n ^ 2 + 1 ≥ p := nat.le_of_dvd (n ^ 2).succ_pos hnat,
have hineq₃ : n * n ≥ N * N, { linarith [hineq₁, hineq₂, (sq n), (sq N)] },
have hn_ge_N : n ≥ N := nat.mul_self_le_mul_self_iff.mpr hineq₃,
exact ⟨n, hn_ge_N, p, hpp, hnat, hreal⟩,
end
|
13b482812c78d58e26b0268d41f3673aa846c490 | ce6917c5bacabee346655160b74a307b4a5ab620 | /src/ch5/ex0201.lean | bb296dd4c495c84b2e180d00f2f019e7c386b209 | [] | no_license | Ailrun/Theorem_Proving_in_Lean | ae6a23f3c54d62d401314d6a771e8ff8b4132db2 | 2eb1b5caf93c6a5a555c79e9097cf2ba5a66cf68 | refs/heads/master | 1,609,838,270,467 | 1,586,846,743,000 | 1,586,846,743,000 | 240,967,761 | 1 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 624 | lean | example (p q r : Prop) : p ∧ (q ∨ r) ↔ (p ∧ q) ∨ (p ∧ r) :=
begin
apply iff.intro,
intro h,
apply or.elim (and.right h),
intro hq,
apply or.inl,
apply and.intro,
exact and.left h,
exact hq,
intro hr,
apply or.inr,
apply and.intro,
exact and.left h,
exact hr,
intro h,
apply or.elim h,
intro hpq,
apply and.intro,
exact and.left hpq,
apply or.inl,
exact and.right hpq,
intro hpr,
apply and.intro,
exact and.left hpr,
apply or.inr,
exact and.right hpr
end
|
0ea1bdd3c36094de5dabb48d25e3cf6a1590c5ac | 9dc8cecdf3c4634764a18254e94d43da07142918 | /src/data/finsupp/big_operators.lean | 632a0d48dede5615b650423eec2caf54ff979f74 | [
"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 | 4,898 | lean | /-
Copyright (c) 2022 Yakov Pechersky. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yakov Pechersky
-/
import data.finsupp.defs
/-!
# Sums of collections of finsupp, and their support
This file provides results about the `finsupp.support` of sums of collections of `finsupp`,
including sums of `list`, `multiset`, and `finset`.
The support of the sum is a subset of the union of the supports:
* `list.support_sum_subset`
* `multiset.support_sum_subset`
* `finset.support_sum_subset`
The support of the sum of pairwise disjoint finsupps is equal to the union of the supports
* `list.support_sum_eq`
* `multiset.support_sum_eq`
* `finset.support_sum_eq`
Member in the support of the indexed union over a collection iff
it is a member of the support of a member of the collection:
* `list.mem_foldr_sup_support_iff`
* `multiset.mem_sup_map_support_iff`
* `finset.mem_sup_support_iff`
-/
variables {ι M : Type*} [decidable_eq ι]
lemma list.support_sum_subset [add_monoid M] (l : list (ι →₀ M)) :
l.sum.support ⊆ l.foldr ((⊔) ∘ finsupp.support) ∅ :=
begin
induction l with hd tl IH,
{ simp },
{ simp only [list.sum_cons, list.foldr_cons, finset.union_comm],
refine finsupp.support_add.trans (finset.union_subset_union _ IH),
refl }
end
lemma multiset.support_sum_subset [add_comm_monoid M] (s : multiset (ι →₀ M)) :
s.sum.support ⊆ (s.map (finsupp.support)).sup :=
begin
induction s using quot.induction_on,
simpa using list.support_sum_subset _
end
lemma finset.support_sum_subset [add_comm_monoid M] (s : finset (ι →₀ M)) :
(s.sum id).support ⊆ finset.sup s finsupp.support :=
by { classical, convert multiset.support_sum_subset s.1; simp }
lemma list.mem_foldr_sup_support_iff [has_zero M] {l : list (ι →₀ M)} {x : ι} :
x ∈ l.foldr ((⊔) ∘ finsupp.support) ∅ ↔ ∃ (f : ι →₀ M) (hf : f ∈ l), x ∈ f.support :=
begin
simp only [finset.sup_eq_union, list.foldr_map, finsupp.mem_support_iff, exists_prop],
induction l with hd tl IH,
{ simp },
{ simp only [IH, list.foldr_cons, finset.mem_union, finsupp.mem_support_iff, list.mem_cons_iff],
split,
{ rintro (h|h),
{ exact ⟨hd, or.inl rfl, h⟩ },
{ exact h.imp (λ f hf, hf.imp_left or.inr) } },
{ rintro ⟨f, rfl|hf, h⟩,
{ exact or.inl h },
{ exact or.inr ⟨f, hf, h⟩ } } }
end
lemma multiset.mem_sup_map_support_iff [has_zero M] {s : multiset (ι →₀ M)} {x : ι} :
x ∈ (s.map (finsupp.support)).sup ↔ ∃ (f : ι →₀ M) (hf : f ∈ s), x ∈ f.support :=
quot.induction_on s $ λ _, by simpa using list.mem_foldr_sup_support_iff
lemma finset.mem_sup_support_iff [has_zero M] {s : finset (ι →₀ M)} {x : ι} :
x ∈ s.sup finsupp.support ↔ ∃ (f : ι →₀ M) (hf : f ∈ s), x ∈ f.support :=
multiset.mem_sup_map_support_iff
lemma list.support_sum_eq [add_monoid M] (l : list (ι →₀ M))
(hl : l.pairwise (disjoint on finsupp.support)) :
l.sum.support = l.foldr ((⊔) ∘ finsupp.support) ∅ :=
begin
induction l with hd tl IH,
{ simp },
{ simp only [list.pairwise_cons] at hl,
simp only [list.sum_cons, list.foldr_cons, function.comp_app],
rw [finsupp.support_add_eq, IH hl.right, finset.sup_eq_union],
suffices : disjoint hd.support (tl.foldr ((⊔) ∘ finsupp.support) ∅),
{ exact finset.disjoint_of_subset_right (list.support_sum_subset _) this },
{ rw [←list.foldr_map, ←finset.bot_eq_empty, list.foldr_sup_eq_sup_to_finset],
rw finset.disjoint_sup_right,
intros f hf,
simp only [list.mem_to_finset, list.mem_map] at hf,
obtain ⟨f, hf, rfl⟩ := hf,
exact hl.left _ hf } }
end
lemma multiset.support_sum_eq [add_comm_monoid M] (s : multiset (ι →₀ M))
(hs : s.pairwise (disjoint on finsupp.support)) :
s.sum.support = (s.map finsupp.support).sup :=
begin
induction s using quot.induction_on,
obtain ⟨l, hl, hd⟩ := hs,
convert list.support_sum_eq _ _,
{ simp },
{ simp },
{ simp only [multiset.quot_mk_to_coe'', multiset.coe_map, multiset.coe_eq_coe] at hl,
exact hl.symm.pairwise hd (λ _ _ h, disjoint.symm h) }
end
lemma finset.support_sum_eq [add_comm_monoid M] (s : finset (ι →₀ M))
(hs : (s : set (ι →₀ M)).pairwise_disjoint finsupp.support) :
(s.sum id).support = finset.sup s finsupp.support :=
begin
classical,
convert multiset.support_sum_eq s.1 _,
{ exact (finset.sum_val _).symm },
{ obtain ⟨l, hl, hn⟩ : ∃ (l : list (ι →₀ M)), l.to_finset = s ∧ l.nodup,
{ refine ⟨s.to_list, _, finset.nodup_to_list _⟩,
simp },
subst hl,
rwa [list.to_finset_val, list.dedup_eq_self.mpr hn,
multiset.pairwise_coe_iff_pairwise,
←list.pairwise_disjoint_iff_coe_to_finset_pairwise_disjoint hn],
intros x y hxy,
exact symmetric_disjoint hxy }
end
|
d67a5bb835414f593912530aa0a88587cc71ff3d | 56e5b79a7ab4f2c52e6eb94f76d8100a25273cf3 | /src/tests/test_tactic_state.lean | e4a5dc722cc93bc9ddc6d1b92d52413bb32b62a2 | [
"Apache-2.0"
] | permissive | DyeKuu/lean-tpe-public | 3a9968f286ca182723ef7e7d97e155d8cb6b1e70 | 750ade767ab28037e80b7a80360d213a875038f8 | refs/heads/master | 1,682,842,633,115 | 1,621,330,793,000 | 1,621,330,793,000 | 368,475,816 | 0 | 0 | Apache-2.0 | 1,621,330,745,000 | 1,621,330,744,000 | null | UTF-8 | Lean | false | false | 3,652 | lean | import ..evaluation
import utils
import ..tactic_state
import meta.expr
import all
import linear_algebra.tensor_algebra
meta def json.load (path : string) : tactic json := do {
msg ← tactic.unsafe_run_io $ do {
f ← io.mk_file_handle path io.mode.read,
buffer.to_string <$> io.fs.read_to_end f
},
tactic.trace format!"[json.load] MESSAGE: {msg}",
json.parse msg
}
section hom_ext'
meta def tactic.interactive.trace_tactic_state_data (f : string) : tactic unit :=
do { msg ← (format.to_string ∘ format.flatten ∘ has_to_format.to_format) <$>
(tactic_state_data.get >>= has_to_tactic_json.to_tactic_json),
dest_handle ← tactic.unsafe_run_io $ io.mk_file_handle f io.mode.write,
tactic.unsafe_run_io $ io.fs.put_str_ln dest_handle msg
}
meta def test_tactic_state (msg₀ : option json) (tac : tactic unit) : tactic unit := do {
(some msg) ← (do
if msg₀.is_some then do {msg ← msg₀, pure (some msg) } else
some <$> json.load "TEST_JSON.json" ),
tactic.trace format!"MSG LENGTH {(json.unparse msg).length}",
tactic.trace "REBUILDING TSD",
tsd ← (has_from_json.from_json : json → tactic tactic_state_data) msg,
tactic.trace "REBUILT TSD",
rebuild_tactic_state tsd,
env ← tactic.get_env,
ts ← tactic.read,
ctx ← tactic.local_context,
tactic.trace format!"LOCAL CONTEXT: {ctx.map expr.to_raw_fmt}",
result ← run_tac_with_tactic_state (tac *> pure ()) ts,
tactic.trace "EVALUATION RESULT: " *> tactic.trace result,
tactic.trace "OK"
}
set_option formatter.hide_full_terms false
set_option pp.implicit true
-- theorem t2 {p q r : Prop} (h₁ : p) (h₂ : q) : (p ∧ q) ∨ r :=
-- begin
-- apply or.inl,
-- trace_tactic_state_data "TEST_JSON.json",
-- -- do { tsd_msg ← tactic_state_data.get >>= has_to_tactic_json.to_tactic_json, test_tactic_state tsd_msg `[apply and.intro] },
-- do { msg ← (format.to_string ∘ format.flatten ∘ has_to_format.to_format) <$>
-- (tactic_state_data.get >>= has_to_tactic_json.to_tactic_json),
-- dest_handle ← tactic.unsafe_run_io $ io.mk_file_handle "TEST_JSON.json" io.mode.write,
-- tactic.unsafe_run_io $ io.fs.put_str_ln dest_handle msg
-- },
-- recover, sorry
-- -- apply and.intro, from ‹_›, from ‹_›
-- end
namespace tensor_algebra
variables (R : Type*) [comm_semiring R]
variables (M : Type*) [add_comm_monoid M] [semimodule R M]
-- @[ext]
-- theorem hom_ext' {A : Type*} [semiring A] [algebra R A] {f g : tensor_algebra R M →ₐ[R] A}
-- (w : f.to_linear_map.comp (ι R) = g.to_linear_map.comp (ι R)) : f = g :=
-- begin
-- rw [←lift_symm_apply, ←lift_symm_apply] at w,
-- do { msg ← (format.to_string ∘ format.flatten ∘ has_to_format.to_format) <$>
-- (tactic_state_data.get >>= has_to_tactic_json.to_tactic_json),
-- dest_handle ← tactic.unsafe_run_io $ io.mk_file_handle "TEST_JSON.json" io.mode.write,
-- tactic.unsafe_run_io $ io.fs.put_str_ln dest_handle msg
-- },
-- exact (lift R).symm.injective w,
-- end
-- #check has_from_json_name_aux
-- run_cmd do {msg ← json.load "TEST_JSON.json", tactic.trace msg, tactic.trace "HELLO", pure ()}
-- run_cmd test_tactic_state none `[apply and.intro] -- we have liftoff
setup_tactic_parser
-- #check lean.parser_state
-- run_cmd do {
-- ps ← lean.parser.mk_parser_state,
-- tactic.trace ps.cur_pos,
-- -- result ← (lean.parser.run' (texpr) " and.intro "),
-- result ← (lean.parser.run' (lean.parser.itactic) " { pure () }"),
-- -- let x := result.val,
-- -- x,
-- tactic.trace "HELLO"
-- }
end tensor_algebra
end hom_ext'
|
9e66f7896074139add4207b32b495e643d0cded3 | 6432ea7a083ff6ba21ea17af9ee47b9c371760f7 | /tests/lean/run/1253.lean | 2a4d2ba23a88e66d4bcd03d2475a4b166390ee27 | [
"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 | 229 | lean | inductive Foo (f: Fin n): Nat → Prop
| mk: Foo f f.val
theorem foo {f: Fin n}: Foo f (no_index f.val) := .mk
example (hf: f < n): Foo ⟨f, hf⟩ f := by simp only [foo]
example (f: Fin n): Foo f f.val := by simp only [foo]
|
5f11c374be826454bcc0f444d1016dc704203b47 | 80746c6dba6a866de5431094bf9f8f841b043d77 | /src/category_theory/examples/topological_spaces.lean | c1595cbef74161a17247cf57d4658897d4cc886d | [
"Apache-2.0"
] | permissive | leanprover-fork/mathlib-backup | 8b5c95c535b148fca858f7e8db75a76252e32987 | 0eb9db6a1a8a605f0cf9e33873d0450f9f0ae9b0 | refs/heads/master | 1,585,156,056,139 | 1,548,864,430,000 | 1,548,864,438,000 | 143,964,213 | 0 | 0 | Apache-2.0 | 1,550,795,966,000 | 1,533,705,322,000 | Lean | UTF-8 | Lean | false | false | 5,124 | lean | -- Copyright (c) 2017 Scott Morrison. All rights reserved.
-- Released under Apache 2.0 license as described in the file LICENSE.
-- Authors: Patrick Massot, Scott Morrison, Mario Carneiro
import category_theory.concrete_category
import category_theory.full_subcategory
import category_theory.functor_category
import category_theory.adjunction
import category_theory.limits.types
import category_theory.natural_isomorphism
import category_theory.eq_to_hom
import topology.basic
import topology.continuity
import order.galois_connection
open category_theory
open category_theory.nat_iso
open topological_space
universe u
namespace category_theory.examples
/-- The category of topological spaces and continuous maps. -/
@[reducible] def Top : Type (u+1) := bundled topological_space
instance (x : Top) : topological_space x := x.str
namespace Top
instance : concrete_category @continuous := ⟨@continuous_id, @continuous.comp⟩
-- local attribute [class] continuous
-- instance {R S : Top} (f : R ⟶ S) : continuous (f : R → S) := f.2
section
open category_theory.limits
variables {J : Type u} [small_category J]
def limit (F : J ⥤ Top.{u}) : cone F :=
{ X := ⟨limit (F ⋙ forget), ⨆ j, (F.obj j).str.induced (limit.π (F ⋙ forget) j)⟩,
π :=
{ app := λ j, ⟨limit.π (F ⋙ forget) j, continuous_iff_induced_le.mpr (lattice.le_supr _ j)⟩,
naturality' := λ j j' f, subtype.eq ((limit.cone (F ⋙ forget)).π.naturality f) } }
def limit_is_limit (F : J ⥤ Top.{u}) : is_limit (limit F) :=
by refine is_limit.of_faithful forget (limit.is_limit _) (λ s, ⟨_, _⟩) (λ s, rfl);
exact continuous_iff_le_coinduced.mpr (lattice.supr_le $ λ j,
induced_le_iff_le_coinduced.mpr $ continuous_iff_le_coinduced.mp (s.π.app j).property)
instance : has_limits.{u} Top.{u} :=
λ J 𝒥 F, by exactI { cone := limit F, is_limit := limit_is_limit F }
instance : preserves_limits (forget : Top.{u} ⥤ Type u) :=
λ J 𝒥 F, by exactI preserves_limit_of_preserves_limit_cone
(limit.is_limit F) (limit.is_limit (F ⋙ forget))
def colimit (F : J ⥤ Top.{u}) : cocone F :=
{ X := ⟨colimit (F ⋙ forget), ⨅ j, (F.obj j).str.coinduced (colimit.ι (F ⋙ forget) j)⟩,
ι :=
{ app := λ j, ⟨colimit.ι (F ⋙ forget) j, continuous_iff_le_coinduced.mpr (lattice.infi_le _ j)⟩,
naturality' := λ j j' f, subtype.eq ((colimit.cocone (F ⋙ forget)).ι.naturality f) } }
def colimit_is_colimit (F : J ⥤ Top.{u}) : is_colimit (colimit F) :=
by refine is_colimit.of_faithful forget (colimit.is_colimit _) (λ s, ⟨_, _⟩) (λ s, rfl);
exact continuous_iff_induced_le.mpr (lattice.le_infi $ λ j,
induced_le_iff_le_coinduced.mpr $ continuous_iff_le_coinduced.mp (s.ι.app j).property)
instance : has_colimits.{u} Top.{u} :=
λ J 𝒥 F, by exactI { cocone := colimit F, is_colimit := colimit_is_colimit F }
instance : preserves_colimits (forget : Top.{u} ⥤ Type u) :=
λ J 𝒥 F, by exactI preserves_colimit_of_preserves_colimit_cocone
(colimit.is_colimit F) (colimit.is_colimit (F ⋙ forget))
end
def discrete : Type u ⥤ Top.{u} :=
{ obj := λ X, ⟨X, ⊤⟩,
map := λ X Y f, ⟨f, continuous_top⟩ }
def trivial : Type u ⥤ Top.{u} :=
{ obj := λ X, ⟨X, ⊥⟩,
map := λ X Y f, ⟨f, continuous_bot⟩ }
def adj₁ : adjunction discrete forget :=
{ hom_equiv := λ X Y,
{ to_fun := λ f, f,
inv_fun := λ f, ⟨f, continuous_top⟩,
left_inv := by tidy,
right_inv := by tidy },
unit := { app := λ X, id },
counit := { app := λ X, ⟨id, continuous_top⟩ } }
def adj₂ : adjunction forget trivial :=
{ hom_equiv := λ X Y,
{ to_fun := λ f, ⟨f, continuous_bot⟩,
inv_fun := λ f, f,
left_inv := by tidy,
right_inv := by tidy },
unit := { app := λ X, ⟨id, continuous_bot⟩ },
counit := { app := λ X, id } }
end Top
variables {X : Top.{u}}
instance : small_category (opens X) := by apply_instance
def nbhd (x : X.α) := { U : opens X // x ∈ U }
def nbhds (x : X.α) : small_category (nbhd x) := begin unfold nbhd, apply_instance end
end category_theory.examples
open category_theory.examples
namespace topological_space.opens
/-- `opens.map f` gives the functor from open sets in Y to open set in X,
given by taking preimages under f. -/
def map
{X Y : Top.{u}} (f : X ⟶ Y) : opens Y ⥤ opens X :=
{ obj := λ U, ⟨ f.val ⁻¹' U, f.property _ U.property ⟩,
map := λ U V i, ⟨ ⟨ λ a b, i.down.down b ⟩ ⟩ }.
@[simp] lemma map_id_obj (X : Top.{u}) (U : opens X) : (map (𝟙 X)).obj U = U := by tidy
@[simp] def map_id (X : Top.{u}) : map (𝟙 X) ≅ functor.id (opens X) :=
{ hom := { app := λ U, 𝟙 U },
inv := { app := λ U, 𝟙 U } }
-- We could make f g implicit here, but it's nice to be able to see when
-- they are the identity (often!)
def map_iso {X Y : Top.{u}} (f g : X ⟶ Y) (h : f = g) : map f ≅ map g :=
nat_iso.of_components (λ U, eq_to_iso (congr_fun (congr_arg _ (congr_arg _ h)) _) ) (by obviously)
@[simp] def map_iso_id {X : Top.{u}} (h) : map_iso (𝟙 X) (𝟙 X) h = iso.refl (map _) := rfl
end topological_space.opens
|
7878e9a1ba5a9781fc2cd39c86974a0f4438d25e | 75c54c8946bb4203e0aaf196f918424a17b0de99 | /old/language_term_n.lean | e773d38ad21c977be30bf58c43820ab25f71868f | [
"Apache-2.0"
] | permissive | urkud/flypitch | 261e2a45f1038130178575406df8aea78255ba77 | 2250f5eda14b6ef9fc3e4e1f4a9ac4005634de5c | refs/heads/master | 1,653,266,469,246 | 1,577,819,679,000 | 1,577,819,679,000 | 259,862,235 | 1 | 0 | Apache-2.0 | 1,588,147,244,000 | 1,588,147,244,000 | null | UTF-8 | Lean | false | false | 9,474 | lean | /- 9/20/18
Preliminary definitions and some functions for working with languages and first-order logic.
Much of the structure and methods are taken from Russell O'Connor's proof of Goedel's incompleteness theorem, at http://r6.ca/Goedel/goedel1.html
Andrew Tindall-/
structure Language :=
language :: (relations : Π n : nat, Type) (functions : Π n : nat, Type) (consts : Type)
variable L : Language
def term_param := unit ⊕ nat
def atm :term_param := sum.inl ()
def vec : nat → term_param := λ n, sum.inr n
inductive term : Π n, Type
| var : ℕ → term atm
| const: L.consts → term atm
| apply : ∀ (n : nat) (f : L.functions n), term (vec n) → term atm
| nil : term (vec 0)
| conj : ∀ n, term atm → term (vec n) → term (vec (n + 1))
open term
local notation `⟦` l:(foldr `, ` (h t, ((prod.fst t) + 1, conj t.fst h (prod.snd t))) (0, nil L) `⟧`) := prod.snd l
def term_sizeof :Π n, term L n → ℕ
| atm (var L n) := 0
| atm (const c) := 0
| atm (apply n f ts) := n + 2 + term_sizeof (vec n) ts
| (sum.inr 0) (nil L) := 0
| (sum.inr (n+1)) (conj m t ts) := 1 + term_sizeof atm t + term_sizeof (vec m) ts
instance term_has_sizeof { n: term_param} : has_sizeof (term L n) := ⟨ term_sizeof L n ⟩
inductive formula : Type
| equal : term L atm → term L atm → formula
| atomic : ∀ (n : nat) (r : L.relations n), term L (vec n) → formula
| imp : formula → formula → formula
| not : formula → formula
| all : ℕ → formula → formula
open formula
def andf := λ (f : formula L) g, not (imp f (not g))
reserve infix `⟾`:10
infix ⟾ := imp
reserve infix `⇔`:15
local infix ⇔ := λ (f : formula L) g, andf L (f ⟾ g) (g ⟾ f)
reserve infix `≍`:20
infix ≍ := equal
def free_vars_term : Π n, (term L n) → list ℕ
| atm (var L n) := [n]
| atm (const c) := []
| atm (apply n f ts) := free_vars_term (vec n) ts
| (sum.inr 0) _ := []
| (sum.inr (n+1)) (conj m t ts) := list.union (free_vars_term atm t) (free_vars_term (vec n) ts)
def free_vars_formula : formula L → list ℕ
| (equal t1 t2) := list.union (free_vars_term L atm t1) (free_vars_term L atm t2)
| (atomic n r ts) := free_vars_term L (vec n) ts
| (imp f1 f2) := list.union (free_vars_formula f1) (free_vars_formula f2)
| (not f) := free_vars_formula f
| (all n f) := list.filter (≠ n) (free_vars_formula f)
lemma lt_add : ∀ (n m k : ℕ), n < m → n < k + m:= begin {intros n m k n_lt_m, induction k, rw zero_add,exact n_lt_m, rw nat.succ_add, apply nat.lt_succ_of_lt,exact k_ih} end
lemma add_lt : ∀ (n m k : ℕ), n < m → n < m + k := begin {intros n m k n_lt_m, induction k, rw add_zero,exact n_lt_m, rw nat.add_comm, rw nat.succ_add, apply nat.lt_succ_of_lt, rw nat.add_comm, exact k_ih} end
def substitute_term : Π (n : term_param), term L n → list (nat × term L atm) → term L n
| atm (var L n) [] := var L n
| atm (var L n) ((m, t) :: pairs) := if n = m then t else substitute_term atm (var L n) pairs
| atm (const c) _ := const c
| atm (apply n f ts) pairs :=
have term_sizeof L (vec n) ts < term_sizeof L atm (apply n f ts), from
begin simp[term_sizeof],
apply lt_add,
exact nat.lt_add_of_pos_right (nat.zero_lt_succ 1)
end,
apply n f (substitute_term (sum.inr n) ts pairs)
| (sum.inr 0) a b := nil L
| (sum.inr n) (conj m t ts) pairs :=
have term_sizeof L atm t < term_sizeof L (sum.inr (m + 1)) (conj m t ts), from
begin
simp [term_sizeof, nat.add_assoc], simp [nat.one_add],
apply nat.lt_succ_of_le,
apply nat.le_add_right
end,
have term_sizeof L (vec m) ts < term_sizeof L (sum.inr (m + 1)) (conj m t ts), from
begin
simp [term_sizeof, nat.one_add],
apply nat.lt_add_of_pos_left,
apply nat.zero_lt_succ
end,
conj m (substitute_term atm t pairs) (substitute_term (vec m) ts pairs)
using_well_founded {rel_tac := λ _ _, `[exact ⟨_, measure_wf psigma.sizeof⟩]}
def var_in_term : ∀ n, ℕ → term L n → Prop
| atm x (var L y) := x = y
| atm _ (const c) := false
| atm x (apply n f ts) := var_in_term (vec n) x ts
| (sum.inr 0) _ _ := false
| (sum.inr (n+1)) x (conj m t ts) := var_in_term atm x t ∨ var_in_term (vec n) x ts
def var_in_formula : ℕ → formula L → Prop
| x (equal t t') := var_in_term L atm x t ∨ var_in_term L atm x t'
| x (atomic n r ts) := var_in_term L (vec n) x ts
| x (imp f f') := var_in_formula x f ∨ var_in_formula x f'
| x (not f) := var_in_formula x f
| x (all n f) := x = n ∨ var_in_formula x f
def var_in_pairs : ℕ → list (nat × term L atm) → Prop
| x [] := false
| x ((n, t) :: pairs) := (var_in_term L atm) x t ∨ var_in_pairs x pairs
def max_var_in_term : ∀ n, term L n → ℕ
| atm (var L n) := n
| atm (const c) := 0
| atm (apply n f ts) := max_var_in_term (vec n) ts
| (sum.inr 0) _ := 0
| (sum.inr (n+1)) (conj L t ts) := max (max_var_in_term atm t) (max_var_in_term (vec n) ts)
def max_var_in_pairs : list (ℕ × term L atm) → ℕ
| [] := 0
| ((n, t) :: pairs) := max (max_var_in_term L atm t) (max_var_in_pairs pairs)
def max_var_in_formula : formula L → ℕ
| (equal t t') := max (max_var_in_term L atm t) (max_var_in_term L atm t')
| (atomic n r ts) := max_var_in_term L (vec n) ts
| (imp f f') := max (max_var_in_formula f) (max_var_in_formula f')
| (not f) := max_var_in_formula f
| (all n f) := max n (max_var_in_formula f)
def var_not_in : formula L → list (ℕ × term L atm) → ℕ
| f pairs := 1 + (max (max_var_in_formula L f) (max_var_in_pairs L pairs))
def free_pairs : formula L → list (ℕ × term L atm) → list (ℕ × term L atm)
| f pairs := let fv := free_vars_formula L f in list.filter (λ p : ℕ × term L atm, p.fst ∈ fv) pairs
instance var_in_decidable : ∀ n pairs f, decidable (var_in_formula L n f ∨ var_in_pairs L n pairs) :=
begin
intros n pairs f,
admit
end
def substitute_formula : formula L → list (nat × term L atm) → formula L
| (equal t t') pairs := equal (substitute_term L atm t pairs) (substitute_term L atm t' pairs)
| (atomic n r t) pairs := atomic n r (substitute_term L (vec n) t pairs)
| (imp f f') pairs := imp (substitute_formula f pairs) (substitute_formula f' pairs)
| (not f) pairs := not (substitute_formula f pairs)
| (all n f) pairs := if var_in_formula L n f ∨ var_in_pairs L n pairs then let n' := var_not_in L f (free_pairs L f pairs) in all n' (substitute_formula f ((n, var L n') :: pairs)) else all n (substitute_formula f (free_pairs L f pairs))
def vec_length_n_diff_two : ∀ n, ℕ → term L (vec n)
| 0 hd := nil L
| (n+1) hd := conj n (var L hd) (vec_length_n_diff_two n (hd+2))
def even_vec := λ n, vec_length_n_diff_two L n 0
def odd_vec := λ n, vec_length_n_diff_two L n 1
def axm_eq' : ∀ m, formula L → formula L
| 0 f := (((var L 0) ≍ (var L 1)) ⟾ f)
| (m+1) f := axm_eq' m (((var L (2 * (m + 1))) ≍ (var L (2 * (m + 1) + 1))) ⟾ f)
def axm_eq_4 : ∀ n, L.functions n → formula L
| 0 f := ((apply 0 f (nil L)) ≍ (apply 0 f (nil L)))
| (n+1) f := axm_eq' L n ((apply (n+1) f (even_vec L (n+1)) ≍ (apply (n+1) f (odd_vec L (n+1)))))
def axm_eq_5 : ∀ n, L.relations n → formula L
| 0 r := ((atomic 0 r (nil L)) ⇔ (atomic 0 r (nil L)))
| (n+1) r := axm_eq' L n ((atomic (n+1) r (even_vec L (n+1))) ⇔ (atomic (n+1) r (odd_vec L (n+1))))
inductive prf : list (formula L) → formula L → Type
| axm : ∀ a, prf [a] a
| mp : ∀ axm axm' f g, prf axm (imp f g) → prf axm' f → prf (axm ++ axm') g
| gen : ∀ axm f v, ¬ (v ∈ (free_vars_formula L f)) → prf axm f → prf axm (all v f)
| imp1 : ∀ f g, prf [] (f ⟾ (g ⟾ f))
| imp2 : ∀ f g h, prf [] (f ⟾ (g ⟾ h) ⟾ ((f ⟾ g) ⟾ (f ⟾ h)))
| cp : ∀ f g, prf [] (((not f) ⟾ (not g)) ⟾ (g ⟾ f))
| all1 : ∀ f v t, prf [] ((all v f) ⟾ (substitute_formula L f [(v,t)]))
| all2 : ∀ f v, ¬ v ∈ (free_vars_formula L f) → prf [] (f ⟾ all v f)
| all3 : ∀ f g v, prf [] ((all v (f ⟾ g) ⟾ ((all v f) ⟾ (all v g))))
| eq1 : prf [] ((var L 0) ≍ (var L 0))
| eq2 : prf [] (( (var L 0) ≍ (var L 1)) ⟾ ((var L 1) ≍ (var L 0)))
| eq3 : prf [] (((var L 0) ≍ (var L 1)) ⟾ (((var L 1) ≍ (var L 2)) ⟾ ((var L 0) ≍ (var L 2))))
/- the following two axioms are examples standing in for the more general equality axioms that need to be generated for n-ary relations and functions;
x0 = x1 ⇒ … ⇒ x2n-2 = x2n-1 ⇒ (R(x0, x2, …, x2n-2) ⇔ R(x1, x3, …, x2n-1)) and
x0 = x1 ⇒ … ⇒ x2n-2 = x2n-1 ⇒ f(x0, x2, …, x2n-2) = f(x1, x3, …, x2n-1)
src http://r6.ca/Goedel/goedel1.html
-/
| eq4 : ∀ n, ∀ r : L.functions n, prf [] (axm_eq_4 L n r)
| eq5 : ∀ n, ∀ f : L.relations n, prf [] (axm_eq_5 L n f)
/-exact ⟨ λ t1 t2, prod.lex nat.lt nat.lt (sizeof t1.fst, sizeof t1.snd) (sizeof t2.fst, sizeof t2.snd)-/ |
f4db3d7a8fee59fde290729f5fd1b02cf4b084a8 | 9be442d9ec2fcf442516ed6e9e1660aa9071b7bd | /tests/lean/run/175.lean | e78a4bb1dee281ce30fcc414474efe0c08e5502f | [
"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 | 477 | lean | import Lean
namespace Foo
open Lean.Elab.Term
syntax (name := fooKind) "foo!" term : term
@[termElab fooKind] def elabFoo : TermElab :=
fun stx expectedType? => elabTerm (stx.getArg 1) expectedType?
#check foo! 10
end Foo
namespace Lean
namespace Elab
namespace Tactic
open Meta
@[builtinTactic clear] def myEvalClear : Tactic := -- this fails in the old-frontend because it eagerly resolves `clear` as `Lean.Meta.clear`.
fun _ => pure ()
end Tactic
end Elab
end Lean
|
9d8a3154b63b479d91ce5f4346ed46d81cd617e7 | d406927ab5617694ec9ea7001f101b7c9e3d9702 | /src/number_theory/dioph.lean | 151abc8723c3761ff9af6124feb4025970eb0d7f | [
"Apache-2.0"
] | permissive | alreadydone/mathlib | dc0be621c6c8208c581f5170a8216c5ba6721927 | c982179ec21091d3e102d8a5d9f5fe06c8fafb73 | refs/heads/master | 1,685,523,275,196 | 1,670,184,141,000 | 1,670,184,141,000 | 287,574,545 | 0 | 0 | Apache-2.0 | 1,670,290,714,000 | 1,597,421,623,000 | Lean | UTF-8 | Lean | false | false | 26,423 | lean | /-
Copyright (c) 2017 Mario Carneiro. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Mario Carneiro
-/
import data.fin.fin2
import data.pfun
import data.vector3
import number_theory.pell
/-!
# Diophantine functions and Matiyasevic's theorem
Hilbert's tenth problem asked whether there exists an algorithm which for a given integer polynomial
determines whether this polynomial has integer solutions. It was answered in the negative in 1970,
the final step being completed by Matiyasevic who showed that the power function is Diophantine.
Here a function is called Diophantine if its graph is Diophantine as a set. A subset `S ⊆ ℕ ^ α` in
turn is called Diophantine if there exists an integer polynomial on `α ⊕ β` such that `v ∈ S` iff
there exists `t : ℕ^β` with `p (v, t) = 0`.
## Main definitions
* `is_poly`: a predicate stating that a function is a multivariate integer polynomial.
* `poly`: the type of multivariate integer polynomial functions.
* `dioph`: a predicate stating that a set is Diophantine, i.e. a set `S ⊆ ℕ^α` is
Diophantine if there exists a polynomial on `α ⊕ β` such that `v ∈ S` iff there
exists `t : ℕ^β` with `p (v, t) = 0`.
* `dioph_fn`: a predicate on a function stating that it is Diophantine in the sense that its graph
is Diophantine as a set.
## Main statements
* `pell_dioph` states that solutions to Pell's equation form a Diophantine set.
* `pow_dioph` states that the power function is Diophantine, a version of Matiyasevic's theorem.
## References
* [M. Carneiro, _A Lean formalization of Matiyasevic's theorem_][carneiro2018matiyasevic]
* [M. Davis, _Hilbert's tenth problem is unsolvable_][MR317916]
## Tags
Matiyasevic's theorem, Hilbert's tenth problem
## TODO
* Finish the solution of Hilbert's tenth problem.
* Connect `poly` to `mv_polynomial`
-/
open fin2 function nat sum
local infixr ` ::ₒ `:67 := option.elim
local infixr ` ⊗ `:65 := sum.elim
universe u
/-!
### Multivariate integer polynomials
Note that this duplicates `mv_polynomial`.
-/
section polynomials
variables {α β γ : Type*}
/-- A predicate asserting that a function is a multivariate integer polynomial.
(We are being a bit lazy here by allowing many representations for multiplication,
rather than only allowing monomials and addition, but the definition is equivalent
and this is easier to use.) -/
inductive is_poly : ((α → ℕ) → ℤ) → Prop
| proj : ∀ i, is_poly (λ x : α → ℕ, x i)
| const : Π (n : ℤ), is_poly (λ x : α → ℕ, n)
| sub : Π {f g : (α → ℕ) → ℤ}, is_poly f → is_poly g → is_poly (λ x, f x - g x)
| mul : Π {f g : (α → ℕ) → ℤ}, is_poly f → is_poly g → is_poly (λ x, f x * g x)
lemma is_poly.neg {f : (α → ℕ) → ℤ} : is_poly f → is_poly (-f) :=
by { rw ←zero_sub, exact (is_poly.const 0).sub }
lemma is_poly.add {f g : (α → ℕ) → ℤ} (hf : is_poly f) (hg : is_poly g) : is_poly (f + g) :=
by { rw ←sub_neg_eq_add, exact hf.sub hg.neg }
/-- The type of multivariate integer polynomials -/
def poly (α : Type u) := {f : (α → ℕ) → ℤ // is_poly f}
namespace poly
section
instance fun_like : fun_like (poly α) (α → ℕ) (λ _, ℤ) := ⟨subtype.val, subtype.val_injective⟩
/-- Helper instance for when there are too many metavariables to apply `fun_like.has_coe_to_fun`
directly. -/
instance : has_coe_to_fun (poly α) (λ _, (α → ℕ) → ℤ) := fun_like.has_coe_to_fun
/-- The underlying function of a `poly` is a polynomial -/
protected lemma is_poly (f : poly α) : is_poly f := f.2
/-- Extensionality for `poly α` -/
@[ext] lemma ext {f g : poly α} : (∀ x, f x = g x) → f = g := fun_like.ext _ _
/-- The `i`th projection function, `x_i`. -/
def proj (i) : poly α := ⟨_, is_poly.proj i⟩
@[simp] lemma proj_apply (i : α) (x) : proj i x = x i := rfl
/-- The constant function with value `n : ℤ`. -/
def const (n) : poly α := ⟨_, is_poly.const n⟩
@[simp] lemma const_apply (n) (x : α → ℕ) : const n x = n := rfl
instance : has_zero (poly α) := ⟨const 0⟩
instance : has_one (poly α) := ⟨const 1⟩
instance : has_neg (poly α) := ⟨λ f, ⟨-f, f.2.neg⟩⟩
instance : has_add (poly α) := ⟨λ f g, ⟨f + g, f.2.add g.2⟩⟩
instance : has_sub (poly α) := ⟨λ f g, ⟨f - g, f.2.sub g.2⟩⟩
instance : has_mul (poly α) := ⟨λ f g, ⟨f * g, f.2.mul g.2⟩⟩
@[simp] lemma coe_zero : ⇑(0 : poly α) = const 0 := rfl
@[simp] lemma coe_one : ⇑(1 : poly α) = const 1 := rfl
@[simp] lemma coe_neg (f : poly α) : ⇑(-f) = -f := rfl
@[simp] lemma coe_add (f g : poly α) : ⇑(f + g) = f + g := rfl
@[simp] lemma coe_sub (f g : poly α) : ⇑(f - g) = f - g := rfl
@[simp] lemma coe_mul (f g : poly α) : ⇑(f * g) = f * g := rfl
@[simp] lemma zero_apply (x) : (0 : poly α) x = 0 := rfl
@[simp] lemma one_apply (x) : (1 : poly α) x = 1 := rfl
@[simp] lemma neg_apply (f : poly α) (x) : (-f) x = -f x := rfl
@[simp] lemma add_apply (f g : poly α) (x : α → ℕ) : (f + g) x = f x + g x := rfl
@[simp] lemma sub_apply (f g : poly α) (x : α → ℕ) : (f - g) x = f x - g x := rfl
@[simp] lemma mul_apply (f g : poly α) (x : α → ℕ) : (f * g) x = f x * g x := rfl
instance (α : Type*) : inhabited (poly α) := ⟨0⟩
instance : add_comm_group (poly α) := by refine_struct
{ add := ((+) : poly α → poly α → poly α),
neg := (has_neg.neg : poly α → poly α),
sub := (has_sub.sub),
zero := 0,
zsmul := @zsmul_rec _ ⟨(0 : poly α)⟩ ⟨(+)⟩ ⟨has_neg.neg⟩,
nsmul := @nsmul_rec _ ⟨(0 : poly α)⟩ ⟨(+)⟩ };
intros; try { refl }; refine ext (λ _, _);
simp [sub_eq_add_neg, add_comm, add_assoc]
instance : add_group_with_one (poly α) :=
{ one := 1,
nat_cast := λ n, poly.const n,
int_cast := poly.const,
.. poly.add_comm_group }
instance : comm_ring (poly α) := by refine_struct
{ add := ((+) : poly α → poly α → poly α),
zero := 0,
mul := (*),
one := 1,
npow := @npow_rec _ ⟨(1 : poly α)⟩ ⟨(*)⟩,
.. poly.add_group_with_one, .. poly.add_comm_group };
intros; try { refl }; refine ext (λ _, _);
simp [sub_eq_add_neg, mul_add, mul_left_comm, mul_comm, add_comm, add_assoc]
lemma induction {C : poly α → Prop}
(H1 : ∀i, C (proj i)) (H2 : ∀n, C (const n))
(H3 : ∀f g, C f → C g → C (f - g))
(H4 : ∀f g, C f → C g → C (f * g)) (f : poly α) : C f :=
begin
cases f with f pf,
induction pf with i n f g pf pg ihf ihg f g pf pg ihf ihg,
apply H1, apply H2, apply H3 _ _ ihf ihg, apply H4 _ _ ihf ihg
end
/-- The sum of squares of a list of polynomials. This is relevant for
Diophantine equations, because it means that a list of equations
can be encoded as a single equation: `x = 0 ∧ y = 0 ∧ z = 0` is
equivalent to `x^2 + y^2 + z^2 = 0`. -/
def sumsq : list (poly α) → poly α
| [] := 0
| (p::ps) := p*p + sumsq ps
lemma sumsq_nonneg (x : α → ℕ) : ∀ l, 0 ≤ sumsq l x
| [] := le_refl 0
| (p::ps) := by rw sumsq; simp [-add_comm];
exact add_nonneg (mul_self_nonneg _) (sumsq_nonneg ps)
lemma sumsq_eq_zero (x) : ∀ l, sumsq l x = 0 ↔ l.all₂ (λ a : poly α, a x = 0)
| [] := eq_self_iff_true _
| (p::ps) := by rw [list.all₂_cons, ← sumsq_eq_zero ps]; rw sumsq; simp [-add_comm]; exact
⟨λ (h : p x * p x + sumsq ps x = 0),
have p x = 0, from eq_zero_of_mul_self_eq_zero $ le_antisymm
(by rw ← h; have t := add_le_add_left (sumsq_nonneg x ps) (p x * p x); rwa [add_zero] at t)
(mul_self_nonneg _),
⟨this, by simp [this] at h; exact h⟩,
λ ⟨h1, h2⟩, by rw [h1, h2]; refl⟩
end
/-- Map the index set of variables, replacing `x_i` with `x_(f i)`. -/
def map {α β} (f : α → β) (g : poly α) : poly β :=
⟨λ v, g $ v ∘ f, g.induction
(λ i, by simp; apply is_poly.proj)
(λ n, by simp; apply is_poly.const)
(λ f g pf pg, by simp; apply is_poly.sub pf pg)
(λ f g pf pg, by simp; apply is_poly.mul pf pg)⟩
@[simp] lemma map_apply {α β} (f : α → β) (g : poly α) (v) : map f g v = g (v ∘ f) := rfl
end poly
end polynomials
/-! ### Diophantine sets -/
/-- A set `S ⊆ ℕ^α` is Diophantine if there exists a polynomial on
`α ⊕ β` such that `v ∈ S` iff there exists `t : ℕ^β` with `p (v, t) = 0`. -/
def dioph {α : Type u} (S : set (α → ℕ)) : Prop :=
∃ {β : Type u} (p : poly (α ⊕ β)), ∀ v, S v ↔ ∃ t, p (v ⊗ t) = 0
namespace dioph
section
variables {α β γ : Type u} {S S' : set (α → ℕ)}
lemma ext (d : dioph S) (H : ∀ v, v ∈ S ↔ v ∈ S') : dioph S' := by rwa ←set.ext H
lemma of_no_dummies (S : set (α → ℕ)) (p : poly α) (h : ∀ v, S v ↔ p v = 0) : dioph S :=
⟨pempty, p.map inl, λ v, (h v).trans ⟨λ h, ⟨pempty.rec _, h⟩, λ ⟨t, ht⟩, ht⟩⟩
lemma inject_dummies_lem (f : β → γ) (g : γ → option β) (inv : ∀ x, g (f x) = some x)
(p : poly (α ⊕ β)) (v : α → ℕ) :
(∃ t, p (v ⊗ t) = 0) ↔ ∃ t, p.map (inl ⊗ inr ∘ f) (v ⊗ t) = 0 :=
begin
dsimp, refine ⟨λ t, _, λ t, _⟩; cases t with t ht,
{ have : (v ⊗ (0 ::ₒ t) ∘ g) ∘ (inl ⊗ inr ∘ f) = v ⊗ t :=
funext (λ s, by cases s with a b; dsimp [(∘)]; try {rw inv}; refl),
exact ⟨(0 ::ₒ t) ∘ g, by rwa this⟩ },
{ have : v ⊗ t ∘ f = (v ⊗ t) ∘ (inl ⊗ inr ∘ f) :=
funext (λ s, by cases s with a b; refl),
exact ⟨t ∘ f, by rwa this⟩ }
end
lemma inject_dummies (f : β → γ) (g : γ → option β) (inv : ∀ x, g (f x) = some x) (p : poly (α ⊕ β))
(h : ∀ v, S v ↔ ∃ t, p (v ⊗ t) = 0) :
∃ q : poly (α ⊕ γ), ∀ v, S v ↔ ∃ t, q (v ⊗ t) = 0 :=
⟨p.map (inl ⊗ (inr ∘ f)), λ v, (h v).trans $ inject_dummies_lem f g inv _ _⟩
variables (β)
lemma reindex_dioph (f : α → β) : Π (d : dioph S), dioph {v | v ∘ f ∈ S}
| ⟨γ, p, pe⟩ := ⟨γ, p.map ((inl ∘ f) ⊗ inr), λ v, (pe _).trans $ exists_congr $ λ t,
suffices v ∘ f ⊗ t = (v ⊗ t) ∘ (inl ∘ f ⊗ inr), by simp [this],
funext $ λ s, by cases s with a b; refl⟩
variables {β}
lemma dioph_list.all₂ (l : list (set $ α → ℕ)) (d : l.all₂ dioph) :
dioph {v | l.all₂ (λ S : set (α → ℕ), v ∈ S)} :=
suffices ∃ β (pl : list (poly (α ⊕ β))), ∀ v,
list.all₂ (λ S : set _, S v) l ↔ ∃ t, list.all₂ (λ p : poly (α ⊕ β), p (v ⊗ t) = 0) pl,
from let ⟨β, pl, h⟩ := this
in ⟨β, poly.sumsq pl, λ v, (h v).trans $ exists_congr $ λ t, (poly.sumsq_eq_zero _ _).symm⟩,
begin
induction l with S l IH,
exact ⟨ulift empty, [], λ v, by simp; exact ⟨λ ⟨t⟩, empty.rec _ t, trivial⟩⟩,
simp at d,
exact let ⟨⟨β, p, pe⟩, dl⟩ := d, ⟨γ, pl, ple⟩ := IH dl in
⟨β ⊕ γ, p.map (inl ⊗ inr ∘ inl) :: pl.map (λ q, q.map (inl ⊗ (inr ∘ inr))), λ v,
by simp; exact iff.trans (and_congr (pe v) (ple v))
⟨λ ⟨⟨m, hm⟩, ⟨n, hn⟩⟩,
⟨m ⊗ n, by rw [
show (v ⊗ m ⊗ n) ∘ (inl ⊗ inr ∘ inl) = v ⊗ m,
from funext $ λ s, by cases s with a b; refl]; exact hm,
by { refine list.all₂.imp (λ q hq, _) hn, dsimp [(∘)],
rw [show (λ (x : α ⊕ γ), (v ⊗ m ⊗ n) ((inl ⊗ λ (x : γ), inr (inr x)) x)) = v ⊗ n,
from funext $ λ s, by cases s with a b; refl]; exact hq }⟩,
λ ⟨t, hl, hr⟩,
⟨⟨t ∘ inl, by rwa [
show (v ⊗ t) ∘ (inl ⊗ inr ∘ inl) = v ⊗ t ∘ inl,
from funext $ λ s, by cases s with a b; refl] at hl⟩,
⟨t ∘ inr, by
{ refine list.all₂.imp (λ q hq, _) hr, dsimp [(∘)] at hq,
rwa [show (λ (x : α ⊕ γ), (v ⊗ t) ((inl ⊗ λ (x : γ), inr (inr x)) x)) = v ⊗ t ∘ inr,
from funext $ λ s, by cases s with a b; refl] at hq }⟩⟩⟩⟩
end
lemma inter (d : dioph S) (d' : dioph S') : dioph (S ∩ S') := dioph_list.all₂ [S, S'] ⟨d, d'⟩
lemma union : ∀ (d : dioph S) (d' : dioph S'), dioph (S ∪ S')
| ⟨β, p, pe⟩ ⟨γ, q, qe⟩ := ⟨β ⊕ γ, p.map (inl ⊗ inr ∘ inl) * q.map (inl ⊗ inr ∘ inr), λ v,
begin
refine iff.trans (or_congr ((pe v).trans _) ((qe v).trans _))
(exists_or_distrib.symm.trans (exists_congr $ λ t,
(@mul_eq_zero _ _ _ (p ((v ⊗ t) ∘ (inl ⊗ inr ∘ inl)))
(q ((v ⊗ t) ∘ (inl ⊗ inr ∘ inr)))).symm)),
exact inject_dummies_lem _ (some ⊗ (λ _, none)) (λ x, rfl) _ _,
exact inject_dummies_lem _ ((λ _, none) ⊗ some) (λ x, rfl) _ _,
end⟩
/-- A partial function is Diophantine if its graph is Diophantine. -/
def dioph_pfun (f : (α → ℕ) →. ℕ) : Prop := dioph {v : option α → ℕ | f.graph (v ∘ some, v none)}
/-- A function is Diophantine if its graph is Diophantine. -/
def dioph_fn (f : (α → ℕ) → ℕ) : Prop := dioph {v : option α → ℕ | f (v ∘ some) = v none}
lemma reindex_dioph_fn {f : (α → ℕ) → ℕ} (g : α → β) (d : dioph_fn f) : dioph_fn (λ v, f (v ∘ g)) :=
by convert reindex_dioph (option β) (option.map g) d
lemma ex_dioph {S : set (α ⊕ β → ℕ)} : dioph S → dioph {v | ∃ x, v ⊗ x ∈ S}
| ⟨γ, p, pe⟩ := ⟨β ⊕ γ, p.map ((inl ⊗ inr ∘ inl) ⊗ inr ∘ inr), λ v,
⟨λ ⟨x, hx⟩, let ⟨t, ht⟩ := (pe _).1 hx in ⟨x ⊗ t, by simp; rw [
show (v ⊗ x ⊗ t) ∘ ((inl ⊗ inr ∘ inl) ⊗ inr ∘ inr) = (v ⊗ x) ⊗ t,
from funext $ λ s, by cases s with a b; try {cases a}; refl]; exact ht⟩,
λ ⟨t, ht⟩, ⟨t ∘ inl, (pe _).2 ⟨t ∘ inr, by simp at ht; rwa [
show (v ⊗ t) ∘ ((inl ⊗ inr ∘ inl) ⊗ inr ∘ inr) = (v ⊗ t ∘ inl) ⊗ t ∘ inr,
from funext $ λ s, by cases s with a b; try {cases a}; refl] at ht⟩⟩⟩⟩
lemma ex1_dioph {S : set (option α → ℕ)} : dioph S → dioph {v | ∃ x, x ::ₒ v ∈ S}
| ⟨β, p, pe⟩ := ⟨option β, p.map (inr none ::ₒ inl ⊗ inr ∘ some), λ v,
⟨λ ⟨x, hx⟩, let ⟨t, ht⟩ := (pe _).1 hx in ⟨x ::ₒ t, by simp; rw [
show (v ⊗ x ::ₒ t) ∘ (inr none ::ₒ inl ⊗ inr ∘ some) = x ::ₒ v ⊗ t,
from funext $ λ s, by cases s with a b; try {cases a}; refl]; exact ht⟩,
λ ⟨t, ht⟩, ⟨t none, (pe _).2 ⟨t ∘ some, by simp at ht; rwa [
show (v ⊗ t) ∘ (inr none ::ₒ inl ⊗ inr ∘ some) = t none ::ₒ v ⊗ t ∘ some,
from funext $ λ s, by cases s with a b; try {cases a}; refl] at ht⟩⟩⟩⟩
theorem dom_dioph {f : (α → ℕ) →. ℕ} (d : dioph_pfun f) : dioph f.dom :=
cast (congr_arg dioph $ set.ext $ λ v, (pfun.dom_iff_graph _ _).symm) (ex1_dioph d)
theorem dioph_fn_iff_pfun (f : (α → ℕ) → ℕ) : dioph_fn f = @dioph_pfun α f :=
by refine congr_arg dioph (set.ext $ λ v, _); exact pfun.lift_graph.symm
lemma abs_poly_dioph (p : poly α) : dioph_fn (λ v, (p v).nat_abs) :=
of_no_dummies _ ((p.map some - poly.proj none) * (p.map some + poly.proj none)) $ λ v,
by { dsimp, exact int.eq_nat_abs_iff_mul_eq_zero }
theorem proj_dioph (i : α) : dioph_fn (λ v, v i) :=
abs_poly_dioph (poly.proj i)
theorem dioph_pfun_comp1 {S : set (option α → ℕ)} (d : dioph S) {f} (df : dioph_pfun f) :
dioph {v : α → ℕ | ∃ h : f.dom v, f.fn v h ::ₒ v ∈ S} :=
ext (ex1_dioph (d.inter df)) $ λ v,
⟨λ ⟨x, hS, (h: Exists _)⟩, by
rw [show (x ::ₒ v) ∘ some = v, from funext $ λ s, rfl] at h;
cases h with hf h; refine ⟨hf, _⟩; rw [pfun.fn, h]; exact hS,
λ ⟨x, hS⟩, ⟨f.fn v x, hS, show Exists _,
by rw [show (f.fn v x ::ₒ v) ∘ some = v, from funext $ λ s, rfl]; exact ⟨x, rfl⟩⟩⟩
theorem dioph_fn_comp1 {S : set (option α → ℕ)} (d : dioph S) {f : (α → ℕ) → ℕ} (df : dioph_fn f) :
dioph {v | f v ::ₒ v ∈ S} :=
ext (dioph_pfun_comp1 d $ cast (dioph_fn_iff_pfun f) df) $ λ v,
⟨λ ⟨_, h⟩, h, λ h, ⟨trivial, h⟩⟩
end
section
variables {α β : Type} {n : ℕ}
open vector3
open_locale vector3
local attribute [reducible] vector3
lemma dioph_fn_vec_comp1 {S : set (vector3 ℕ (succ n))} (d : dioph S) {f : vector3 ℕ n → ℕ}
(df : dioph_fn f) :
dioph {v : vector3 ℕ n | f v :: v ∈ S} :=
ext (dioph_fn_comp1 (reindex_dioph _ (none :: some) d) df) $ λ v,
by { dsimp, congr', ext x, cases x; refl }
theorem vec_ex1_dioph (n) {S : set (vector3 ℕ (succ n))} (d : dioph S) :
dioph {v : fin2 n → ℕ | ∃ x, x :: v ∈ S} :=
ext (ex1_dioph $ reindex_dioph _ (none :: some) d) $ λ v, exists_congr $ λ x, by { dsimp,
rw [show option.elim x v ∘ cons none some = x :: v,
from funext $ λ s, by cases s with a b; refl] }
lemma dioph_fn_vec (f : vector3 ℕ n → ℕ) : dioph_fn f ↔ dioph {v | f (v ∘ fs) = v fz} :=
⟨reindex_dioph _ (fz ::ₒ fs), reindex_dioph _ (none :: some)⟩
lemma dioph_pfun_vec (f : vector3 ℕ n →. ℕ) : dioph_pfun f ↔ dioph {v | f.graph (v ∘ fs, v fz)} :=
⟨reindex_dioph _ (fz ::ₒ fs), reindex_dioph _ (none :: some)⟩
lemma dioph_fn_compn : ∀ {n} {S : set (α ⊕ fin2 n → ℕ)} (d : dioph S)
{f : vector3 ((α → ℕ) → ℕ) n} (df : vector_allp dioph_fn f),
dioph {v : α → ℕ | v ⊗ (λ i, f i v) ∈ S}
| 0 S d f := λ df, ext (reindex_dioph _ (id ⊗ fin2.elim0) d) $ λ v,
by { dsimp, congr', ext x, obtain (_ | _ | _) := x, refl }
| (succ n) S d f := f.cons_elim $ λ f fl, by simp; exact λ df dfl,
have dioph {v |v ∘ inl ⊗ f (v ∘ inl) :: v ∘ inr ∈ S},
from ext (dioph_fn_comp1 (reindex_dioph _ (some ∘ inl ⊗ none :: some ∘ inr) d) $
reindex_dioph_fn inl df) $ λ v,
by { dsimp, congr', ext x, obtain (_ | _ | _) := x; refl },
have dioph {v | v ⊗ f v :: (λ (i : fin2 n), fl i v) ∈ S},
from @dioph_fn_compn n (λ v, S (v ∘ inl ⊗ f (v ∘ inl) :: v ∘ inr)) this _ dfl,
ext this $ λ v, by { dsimp, congr', ext x, obtain _ | _ | _ := x; refl }
lemma dioph_comp {S : set (vector3 ℕ n)} (d : dioph S) (f : vector3 ((α → ℕ) → ℕ) n)
(df : vector_allp dioph_fn f) : dioph {v | (λ i, f i v) ∈ S} :=
dioph_fn_compn (reindex_dioph _ inr d) df
lemma dioph_fn_comp {f : vector3 ℕ n → ℕ} (df : dioph_fn f) (g : vector3 ((α → ℕ) → ℕ) n)
(dg : vector_allp dioph_fn g) : dioph_fn (λ v, f (λ i, g i v)) :=
dioph_comp ((dioph_fn_vec _).1 df) ((λ v, v none) :: λ i v, g i (v ∘ some)) $
by simp; exact ⟨proj_dioph none, (vector_allp_iff_forall _ _).2 $ λ i,
reindex_dioph_fn _ $ (vector_allp_iff_forall _ _).1 dg _⟩
localized "notation (name := dioph.inter) x ` D∧ `:35 y := dioph.inter x y" in dioph
localized "notation (name := dioph.union) x ` D∨ `:35 y := dioph.union x y" in dioph
localized "notation (name := dioph.vec_ex1_dioph) `D∃`:30 := dioph.vec_ex1_dioph" in dioph
localized "prefix (name := fin2.of_nat') `&`:max := fin2.of_nat'" in dioph
theorem proj_dioph_of_nat {n : ℕ} (m : ℕ) [is_lt m n] : dioph_fn (λ v : vector3 ℕ n, v &m) :=
proj_dioph &m
localized "prefix (name := proj_dioph_of_nat) `D&`:100 := dioph.proj_dioph_of_nat" in dioph
theorem const_dioph (n : ℕ) : dioph_fn (const (α → ℕ) n) :=
abs_poly_dioph (poly.const n)
localized "prefix (name := const_dioph) `D.`:100 := dioph.const_dioph" in dioph
variables {f g : (α → ℕ) → ℕ} (df : dioph_fn f) (dg : dioph_fn g)
include df dg
lemma dioph_comp2 {S : ℕ → ℕ → Prop} (d : dioph (λ v:vector3 ℕ 2, S (v &0) (v &1))) :
dioph (λ v, S (f v) (g v)) :=
dioph_comp d [f, g] (by exact ⟨df, dg⟩)
lemma dioph_fn_comp2 {h : ℕ → ℕ → ℕ} (d : dioph_fn (λ v:vector3 ℕ 2, h (v &0) (v &1))) :
dioph_fn (λ v, h (f v) (g v)) :=
dioph_fn_comp d [f, g] (by exact ⟨df, dg⟩)
lemma eq_dioph : dioph (λ v, f v = g v) :=
dioph_comp2 df dg $ of_no_dummies _ (poly.proj &0 - poly.proj &1)
(λ v, (int.coe_nat_eq_coe_nat_iff _ _).symm.trans
⟨@sub_eq_zero_of_eq ℤ _ (v &0) (v &1), eq_of_sub_eq_zero⟩)
localized "infix (name := eq_dioph) ` D= `:50 := dioph.eq_dioph" in dioph
lemma add_dioph : dioph_fn (λ v, f v + g v) :=
dioph_fn_comp2 df dg $ abs_poly_dioph (poly.proj &0 + poly.proj &1)
localized "infix (name := add_dioph) ` D+ `:80 := dioph.add_dioph" in dioph
lemma mul_dioph : dioph_fn (λ v, f v * g v) :=
dioph_fn_comp2 df dg $ abs_poly_dioph (poly.proj &0 * poly.proj &1)
localized "infix (name := mul_dioph) ` D* `:90 := dioph.mul_dioph" in dioph
lemma le_dioph : dioph {v | f v ≤ g v} :=
dioph_comp2 df dg $ ext (D∃2 $ D&1 D+ D&0 D= D&2) (λ v, ⟨λ ⟨x, hx⟩, le.intro hx, le.dest⟩)
localized "infix (name := le_dioph) ` D≤ `:50 := dioph.le_dioph" in dioph
lemma lt_dioph : dioph {v | f v < g v} := df D+ (D. 1) D≤ dg
localized "infix (name := lt_dioph) ` D< `:50 := dioph.lt_dioph" in dioph
lemma ne_dioph : dioph {v | f v ≠ g v} :=
ext (df D< dg D∨ dg D< df) $ λ v, by { dsimp, exact lt_or_lt_iff_ne }
localized "infix (name := ne_dioph) ` D≠ `:50 := dioph.ne_dioph" in dioph
lemma sub_dioph : dioph_fn (λ v, f v - g v) :=
dioph_fn_comp2 df dg $ (dioph_fn_vec _).2 $
ext (D&1 D= D&0 D+ D&2 D∨ D&1 D≤ D&2 D∧ D&0 D= D.0) $ (vector_all_iff_forall _).1 $ λ x y z,
show (y = x + z ∨ y ≤ z ∧ x = 0) ↔ y - z = x, from
⟨λ o, begin
rcases o with ae | ⟨yz, x0⟩,
{ rw [ae, add_tsub_cancel_right] },
{ rw [x0, tsub_eq_zero_iff_le.mpr yz] }
end, begin
rintro rfl,
cases le_total y z with yz zy,
{ exact or.inr ⟨yz, tsub_eq_zero_iff_le.mpr yz⟩ },
{ exact or.inl (tsub_add_cancel_of_le zy).symm },
end⟩
localized "infix (name := sub_dioph) ` D- `:80 := dioph.sub_dioph" in dioph
lemma dvd_dioph : dioph (λ v, f v ∣ g v) :=
dioph_comp (D∃2 $ D&2 D= D&1 D* D&0) [f, g] (by exact ⟨df, dg⟩)
localized "infix (name := dvd_dioph) ` D∣ `:50 := dioph.dvd_dioph" in dioph
lemma mod_dioph : dioph_fn (λ v, f v % g v) :=
have dioph (λ v : vector3 ℕ 3, (v &2 = 0 ∨ v &0 < v &2) ∧ ∃ (x : ℕ), v &0 + v &2 * x = v &1),
from (D&2 D= D.0 D∨ D&0 D< D&2) D∧ (D∃3 $ D&1 D+ D&3 D* D&0 D= D&2),
dioph_fn_comp2 df dg $ (dioph_fn_vec _).2 $ ext this $ (vector_all_iff_forall _).1 $ λ z x y,
show ((y = 0 ∨ z < y) ∧ ∃ c, z + y * c = x) ↔ x % y = z, from
⟨λ ⟨h, c, hc⟩, begin rw ← hc; simp; cases h with x0 hl, rw [x0, mod_zero],
exact mod_eq_of_lt hl end,
λ e, by rw ← e; exact ⟨or_iff_not_imp_left.2 $ λ h, mod_lt _ (nat.pos_of_ne_zero h), x / y,
mod_add_div _ _⟩⟩
localized "infix (name := mod_dioph) ` D% `:80 := dioph.mod_dioph" in dioph
lemma modeq_dioph {h : (α → ℕ) → ℕ} (dh : dioph_fn h) : dioph (λ v, f v ≡ g v [MOD h v]) :=
df D% dh D= dg D% dh
localized "notation (name := modeq_dioph) ` D≡ ` := dioph.modeq_dioph" in dioph
lemma div_dioph : dioph_fn (λ v, f v / g v) :=
have dioph (λ v : vector3 ℕ 3, v &2 = 0 ∧ v &0 = 0 ∨ v &0 * v &2 ≤ v &1 ∧ v &1 < (v &0 + 1) * v &2),
from (D&2 D= D.0 D∧ D&0 D= D.0) D∨ D&0 D* D&2 D≤ D&1 D∧ D&1 D< (D&0 D+ D.1) D* D&2,
dioph_fn_comp2 df dg $ (dioph_fn_vec _).2 $ ext this $ (vector_all_iff_forall _).1 $ λ z x y,
show y = 0 ∧ z = 0 ∨ z * y ≤ x ∧ x < (z + 1) * y ↔ x / y = z,
by refine iff.trans _ eq_comm; exact y.eq_zero_or_pos.elim
(λ y0, by rw [y0, nat.div_zero]; exact
⟨λ o, (o.resolve_right $ λ ⟨_, h2⟩, nat.not_lt_zero _ h2).right, λ z0, or.inl ⟨rfl, z0⟩⟩)
(λ ypos, iff.trans ⟨λ o, o.resolve_left $ λ ⟨h1, _⟩, ne_of_gt ypos h1, or.inr⟩
(le_antisymm_iff.trans $ and_congr (nat.le_div_iff_mul_le ypos) $
iff.trans ⟨lt_succ_of_le, le_of_lt_succ⟩ (div_lt_iff_lt_mul ypos)).symm)
localized "infix (name := div_dioph) ` D/ `:80 := dioph.div_dioph" in dioph
omit df dg
open pell
lemma pell_dioph : dioph (λ v:vector3 ℕ 4, ∃ h : 1 < v &0,
xn h (v &1) = v &2 ∧ yn h (v &1) = v &3) :=
have dioph {v : vector3 ℕ 4 |
1 < v &0 ∧ v &1 ≤ v &3 ∧
(v &2 = 1 ∧ v &3 = 0 ∨
∃ (u w s t b : ℕ),
v &2 * v &2 - (v &0 * v &0 - 1) * v &3 * v &3 = 1 ∧
u * u - (v &0 * v &0 - 1) * w * w = 1 ∧
s * s - (b * b - 1) * t * t = 1 ∧
1 < b ∧ (b ≡ 1 [MOD 4 * v &3]) ∧ (b ≡ v &0 [MOD u]) ∧
0 < w ∧ v &3 * v &3 ∣ w ∧
(s ≡ v &2 [MOD u]) ∧
(t ≡ v &1 [MOD 4 * v &3]))}, from
D.1 D< D&0 D∧ D&1 D≤ D&3 D∧
((D&2 D= D.1 D∧ D&3 D= D.0) D∨
(D∃4 $ D∃5 $ D∃6 $ D∃7 $ D∃8 $
D&7 D* D&7 D- (D&5 D* D&5 D- D.1) D* D&8 D* D&8 D= D.1 D∧
D&4 D* D&4 D- (D&5 D* D&5 D- D.1) D* D&3 D* D&3 D= D.1 D∧
D&2 D* D&2 D- (D&0 D* D&0 D- D.1) D* D&1 D* D&1 D= D.1 D∧
D.1 D< D&0 D∧ (D≡ (D&0) (D.1) (D.4 D* D&8)) D∧ (D≡ (D&0) (D&5) D&4) D∧
D.0 D< D&3 D∧ D&8 D* D&8 D∣ D&3 D∧
(D≡ (D&2) (D&7) D&4) D∧
(D≡ (D&1) (D&6) (D.4 D* D&8)))),
dioph.ext this $ λ v, matiyasevic.symm
lemma xn_dioph : dioph_pfun (λ v:vector3 ℕ 2, ⟨1 < v &0, λ h, xn h (v &1)⟩) :=
have dioph (λ v:vector3 ℕ 3, ∃ y, ∃ h : 1 < v &1, xn h (v &2) = v &0 ∧ yn h (v &2) = y), from
let D_pell := pell_dioph.reindex_dioph (fin2 4) [&2, &3, &1, &0] in D∃3 D_pell,
(dioph_pfun_vec _).2 $ dioph.ext this $ λ v, ⟨λ ⟨y, h, xe, ye⟩, ⟨h, xe⟩, λ ⟨h, xe⟩, ⟨_, h, xe, rfl⟩⟩
include df dg
/-- A version of **Matiyasevic's theorem** -/
theorem pow_dioph : dioph_fn (λ v, f v ^ g v) :=
have dioph {v : vector3 ℕ 3 |
v &2 = 0 ∧ v &0 = 1 ∨ 0 < v &2 ∧
(v &1 = 0 ∧ v &0 = 0 ∨ 0 < v &1 ∧
∃ (w a t z x y : ℕ),
(∃ (a1 : 1 < a), xn a1 (v &2) = x ∧ yn a1 (v &2) = y) ∧
(x ≡ y * (a - v &1) + v &0 [MOD t]) ∧
2 * a * v &1 = t + (v &1 * v &1 + 1) ∧
v &0 < t ∧ v &1 ≤ w ∧ v &2 ≤ w ∧
a * a - ((w + 1) * (w + 1) - 1) * (w * z) * (w * z) = 1)}, from
let D_pell := pell_dioph.reindex_dioph (fin2 9) [&4, &8, &1, &0] in
(D&2 D= D.0 D∧ D&0 D= D.1) D∨ (D.0 D< D&2 D∧
((D&1 D= D.0 D∧ D&0 D= D.0) D∨ (D.0 D< D&1 D∧
(D∃3 $ D∃4 $ D∃5 $ D∃6 $ D∃7 $ D∃8 $ D_pell D∧
(D≡ (D&1) (D&0 D* (D&4 D- D&7) D+ D&6) (D&3)) D∧
D.2 D* D&4 D* D&7 D= D&3 D+ (D&7 D* D&7 D+ D.1) D∧
D&6 D< D&3 D∧ D&7 D≤ D&5 D∧ D&8 D≤ D&5 D∧
D&4 D* D&4 D- ((D&5 D+ D.1) D* (D&5 D+ D.1) D- D.1) D* (D&5 D* D&2) D* (D&5 D* D&2) D= D.1)))),
dioph_fn_comp2 df dg $ (dioph_fn_vec _).2 $ dioph.ext this $ λ v, iff.symm $
eq_pow_of_pell.trans $ or_congr iff.rfl $ and_congr iff.rfl $ or_congr iff.rfl $ and_congr iff.rfl $
⟨λ ⟨w, a, t, z, a1, h⟩, ⟨w, a, t, z, _, _, ⟨a1, rfl, rfl⟩, h⟩,
λ ⟨w, a, t, z, ._, ._, ⟨a1, rfl, rfl⟩, h⟩, ⟨w, a, t, z, a1, h⟩⟩
end
end dioph
|
6413b89c58f55b11ab9a526cb12f7e418b992c98 | 63abd62053d479eae5abf4951554e1064a4c45b4 | /src/control/lawful_fix.lean | 3b790b7dcebdb1ec6440ce3456e706466fffe298 | [
"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 | 7,788 | lean | /-
Copyright (c) 2020 Simon Hudon. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Author: Simon Hudon
-/
import tactic.apply
import control.fix
import order.omega_complete_partial_order
/-!
# Lawful fixed point operators
This module defines the laws required of a `has_fix` instance, using the theory of
omega complete partial orders (ωCPO). Proofs of the lawfulness of all `has_fix` instances in
`control.fix` are provided.
## Main definition
* class `lawful_fix`
-/
universes u v
open_locale classical
variables {α : Type*} {β : α → Type*}
open omega_complete_partial_order
/-- Intuitively, a fixed point operator `fix` is lawful if it satisfies `fix f = f (fix f)` for all
`f`, but this is inconsistent / uninteresting in most cases due to the existence of "exotic"
functions `f`, such as the function that is defined iff its argument is not, familiar from the
halting problem. Instead, this requirement is limited to only functions that are `continuous` in the
sense of `ω`-complete partial orders, which excludes the example because it is not monotone
(making the input argument less defined can make `f` more defined). -/
class lawful_fix (α : Type*) [omega_complete_partial_order α] extends has_fix α :=
(fix_eq : ∀ {f : α →ₘ α}, continuous f → has_fix.fix f = f (has_fix.fix f))
lemma lawful_fix.fix_eq' {α} [omega_complete_partial_order α] [lawful_fix α]
{f : α → α} (hf : continuous' f) :
has_fix.fix f = f (has_fix.fix f) :=
lawful_fix.fix_eq (continuous.to_bundled _ hf)
namespace roption
open roption nat nat.upto
namespace fix
variables (f : (Π a, roption $ β a) →ₘ (Π a, roption $ β a))
lemma approx_mono' {i : ℕ} : fix.approx f i ≤ fix.approx f (succ i) :=
begin
induction i, dsimp [approx], apply @bot_le _ _ (f ⊥),
intro, apply f.monotone, apply i_ih
end
lemma approx_mono ⦃i j : ℕ⦄ (hij : i ≤ j) : approx f i ≤ approx f j :=
begin
induction j, cases hij, refine @le_refl _ _ _,
cases hij, apply @le_refl _ _ _,
apply @le_trans _ _ _ (approx f j_n) _ (j_ih ‹_›),
apply approx_mono' f
end
lemma mem_iff (a : α) (b : β a) : b ∈ roption.fix f a ↔ ∃ i, b ∈ approx f i a :=
begin
by_cases h₀ : ∃ (i : ℕ), (approx f i a).dom,
{ simp only [roption.fix_def f h₀],
split; intro hh, exact ⟨_,hh⟩,
have h₁ := nat.find_spec h₀,
rw [dom_iff_mem] at h₁,
cases h₁ with y h₁,
replace h₁ := approx_mono' f _ _ h₁,
suffices : y = b, subst this, exact h₁,
cases hh with i hh,
revert h₁, generalize : (succ (nat.find h₀)) = j, intro,
wlog : i ≤ j := le_total i j using [i j b y,j i y b],
replace hh := approx_mono f case _ _ hh,
apply roption.mem_unique h₁ hh },
{ simp only [fix_def' ⇑f h₀, not_exists, false_iff, not_mem_none],
simp only [dom_iff_mem, not_exists] at h₀,
intro, apply h₀ }
end
lemma approx_le_fix (i : ℕ) : approx f i ≤ roption.fix f :=
assume a b hh,
by { rw [mem_iff f], exact ⟨_,hh⟩ }
lemma exists_fix_le_approx (x : α) : ∃ i, roption.fix f x ≤ approx f i x :=
begin
by_cases hh : ∃ i b, b ∈ approx f i x,
{ rcases hh with ⟨i,b,hb⟩, existsi i,
intros b' h',
have hb' := approx_le_fix f i _ _ hb,
have hh := roption.mem_unique h' hb',
subst hh, exact hb },
{ simp only [not_exists] at hh, existsi 0,
intros b' h',
simp only [mem_iff f] at h',
cases h' with i h',
cases hh _ _ h' }
end
include f
/-- The series of approximations of `fix f` (see `approx`) as a `chain` -/
def approx_chain : chain (Π a, roption $ β a) := ⟨approx f, approx_mono f⟩
lemma le_f_of_mem_approx {x} (hx : x ∈ approx_chain f) : x ≤ f x :=
begin
revert hx, simp [(∈)],
intros i hx, subst x,
apply approx_mono'
end
lemma approx_mem_approx_chain {i} : approx f i ∈ approx_chain f :=
stream.mem_of_nth_eq rfl
end fix
open fix
variables {α}
variables (f : (Π a, roption $ β a) →ₘ (Π a, roption $ β a))
open omega_complete_partial_order
open roption (hiding ωSup) nat
open nat.upto omega_complete_partial_order
lemma fix_eq_ωSup : roption.fix f = ωSup (approx_chain f) :=
begin
apply le_antisymm,
{ intro x, cases exists_fix_le_approx f x with i hx,
transitivity' approx f i.succ x,
{ transitivity', apply hx, apply approx_mono' f },
apply' le_ωSup_of_le i.succ,
dsimp [approx], refl', },
{ apply ωSup_le _ _ _,
simp only [fix.approx_chain, preorder_hom.coe_fun_mk],
intros y x, apply approx_le_fix f },
end
lemma fix_le {X : Π a, roption $ β a} (hX : f X ≤ X) : roption.fix f ≤ X :=
begin
rw fix_eq_ωSup f,
apply ωSup_le _ _ _,
simp only [fix.approx_chain, preorder_hom.coe_fun_mk],
intros i,
induction i, dsimp [fix.approx], apply' bot_le,
transitivity' f X, apply f.monotone i_ih,
apply hX
end
variables {f} (hc : continuous f)
include hc
lemma fix_eq : roption.fix f = f (roption.fix f) :=
begin
rw [fix_eq_ωSup f,hc],
apply le_antisymm,
{ apply ωSup_le_ωSup_of_le _,
intros i, existsi [i], intro x, -- intros x y hx,
apply le_f_of_mem_approx _ ⟨i, rfl⟩, },
{ apply ωSup_le_ωSup_of_le _,
intros i, existsi i.succ, refl', }
end
end roption
namespace roption
/-- `to_unit` as a monotone function -/
@[simps]
def to_unit_mono (f : roption α →ₘ roption α) : (unit → roption α) →ₘ (unit → roption α) :=
{ to_fun := λ x u, f (x u),
monotone' := λ x y (h : x ≤ y) u, f.monotone $ h u }
lemma to_unit_cont (f : roption α →ₘ roption α) (hc : continuous f) : continuous (to_unit_mono f)
| c := begin
ext ⟨⟩ : 1,
dsimp [omega_complete_partial_order.ωSup],
erw [hc, chain.map_comp], refl
end
noncomputable instance : lawful_fix (roption α) :=
⟨λ f hc, show roption.fix (to_unit_mono f) () = _, by rw roption.fix_eq (to_unit_cont f hc); refl⟩
end roption
open sigma
namespace pi
noncomputable instance {β} : lawful_fix (α → roption β) := ⟨λ f, roption.fix_eq⟩
variables {γ : Π a : α, β a → Type*}
section monotone
variables (α β γ)
/-- `sigma.curry` as a monotone function. -/
@[simps]
def monotone_curry [∀ x y, preorder $ γ x y] :
(Π x : Σ a, β a, γ x.1 x.2) →ₘ (Π a (b : β a), γ a b) :=
{ to_fun := curry,
monotone' := λ x y h a b, h ⟨a,b⟩ }
/-- `sigma.uncurry` as a monotone function. -/
@[simps]
def monotone_uncurry [∀ x y, preorder $ γ x y] :
(Π a (b : β a), γ a b) →ₘ (Π x : Σ a, β a, γ x.1 x.2) :=
{ to_fun := uncurry,
monotone' := λ x y h a, h a.1 a.2 }
variables [∀ x y, omega_complete_partial_order $ γ x y]
open omega_complete_partial_order.chain
lemma continuous_curry : continuous $ monotone_curry α β γ :=
λ c, by { ext x y, dsimp [curry,ωSup], rw [map_comp,map_comp], refl }
lemma continuous_uncurry : continuous $ monotone_uncurry α β γ :=
λ c, by { ext x y, dsimp [uncurry,ωSup], rw [map_comp,map_comp], refl }
end monotone
open has_fix
instance [has_fix $ Π x : sigma β, γ x.1 x.2] : has_fix (Π x (y : β x), γ x y) :=
⟨ λ f, curry (fix $ uncurry ∘ f ∘ curry) ⟩
variables [∀ x y, omega_complete_partial_order $ γ x y]
section curry
variables {f : (Π x (y : β x), γ x y) →ₘ (Π x (y : β x), γ x y)}
variables (hc : continuous f)
lemma uncurry_curry_continuous : continuous $ (monotone_uncurry α β γ).comp $ f.comp $ monotone_curry α β γ :=
continuous_comp _ _
(continuous_comp _ _ (continuous_curry _ _ _) hc)
(continuous_uncurry _ _ _)
end curry
instance pi.lawful_fix' [lawful_fix $ Π x : sigma β, γ x.1 x.2] : lawful_fix (Π x y, γ x y) :=
{ fix_eq := λ f hc,
by { dsimp [fix], conv { to_lhs, erw [lawful_fix.fix_eq (uncurry_curry_continuous hc)] }, refl, } }
end pi
|
521a03e56ecaf4037689cac34b007da641a9ee20 | c777c32c8e484e195053731103c5e52af26a25d1 | /src/analysis/convex/specific_functions.lean | 8a07f38210f916170b853eb941e0dfb94ffcba0c | [
"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 | 13,083 | lean | /-
Copyright (c) 2020 Yury Kudryashov. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yury Kudryashov, Sébastien Gouëzel
-/
import analysis.special_functions.pow_deriv
import analysis.special_functions.sqrt
/-!
# Collection of convex functions
In this file we prove that the following functions are convex:
* `strict_convex_on_exp` : The exponential function is strictly convex.
* `even.convex_on_pow`, `even.strict_convex_on_pow` : For an even `n : ℕ`, `λ x, x ^ n` is convex
and strictly convex when `2 ≤ n`.
* `convex_on_pow`, `strict_convex_on_pow` : For `n : ℕ`, `λ x, x ^ n` is convex on $[0, +∞)$ and
strictly convex when `2 ≤ n`.
* `convex_on_zpow`, `strict_convex_on_zpow` : For `m : ℤ`, `λ x, x ^ m` is convex on $[0, +∞)$ and
strictly convex when `m ≠ 0, 1`.
* `convex_on_rpow`, `strict_convex_on_rpow` : For `p : ℝ`, `λ x, x ^ p` is convex on $[0, +∞)$ when
`1 ≤ p` and strictly convex when `1 < p`.
* `strict_concave_on_log_Ioi`, `strict_concave_on_log_Iio`: `real.log` is strictly concave on
$(0, +∞)$ and $(-∞, 0)$ respectively.
## TODO
For `p : ℝ`, prove that `λ x, x ^ p` is concave when `0 ≤ p ≤ 1` and strictly concave when
`0 < p < 1`.
-/
open real set
open_locale big_operators nnreal
/-- `exp` is strictly convex on the whole real line. -/
lemma strict_convex_on_exp : strict_convex_on ℝ univ exp :=
strict_convex_on_univ_of_deriv2_pos continuous_exp (λ x, (iter_deriv_exp 2).symm ▸ exp_pos x)
/-- `exp` is convex on the whole real line. -/
lemma convex_on_exp : convex_on ℝ univ exp := strict_convex_on_exp.convex_on
/-- `x^n`, `n : ℕ` is convex on the whole real line whenever `n` is even -/
lemma even.convex_on_pow {n : ℕ} (hn : even n) : convex_on ℝ set.univ (λ x : ℝ, x^n) :=
begin
apply convex_on_univ_of_deriv2_nonneg (differentiable_pow n),
{ simp only [deriv_pow', differentiable.mul, differentiable_const, differentiable_pow] },
{ intro x,
obtain ⟨k, hk⟩ := (hn.tsub $ even_bit0 _).exists_two_nsmul _,
rw [iter_deriv_pow, finset.prod_range_cast_nat_sub, hk, nsmul_eq_mul, pow_mul'],
exact mul_nonneg (nat.cast_nonneg _) (pow_two_nonneg _) }
end
/-- `x^n`, `n : ℕ` is strictly convex on the whole real line whenever `n ≠ 0` is even. -/
lemma even.strict_convex_on_pow {n : ℕ} (hn : even n) (h : n ≠ 0) :
strict_convex_on ℝ set.univ (λ x : ℝ, x^n) :=
begin
apply strict_mono.strict_convex_on_univ_of_deriv (continuous_pow n),
rw deriv_pow',
replace h := nat.pos_of_ne_zero h,
exact strict_mono.const_mul (odd.strict_mono_pow $ nat.even.sub_odd h hn $ nat.odd_iff.2 rfl)
(nat.cast_pos.2 h),
end
/-- `x^n`, `n : ℕ` is convex on `[0, +∞)` for all `n` -/
lemma convex_on_pow (n : ℕ) : convex_on ℝ (Ici 0) (λ x : ℝ, x^n) :=
begin
apply convex_on_of_deriv2_nonneg (convex_Ici _) (continuous_pow n).continuous_on
(differentiable_on_pow n),
{ simp only [deriv_pow'], exact (@differentiable_on_pow ℝ _ _ _).const_mul (n : ℝ) },
{ intros x hx,
rw [iter_deriv_pow, finset.prod_range_cast_nat_sub],
exact mul_nonneg (nat.cast_nonneg _) (pow_nonneg (interior_subset hx) _) }
end
/-- `x^n`, `n : ℕ` is strictly convex on `[0, +∞)` for all `n` greater than `2`. -/
lemma strict_convex_on_pow {n : ℕ} (hn : 2 ≤ n) : strict_convex_on ℝ (Ici 0) (λ x : ℝ, x^n) :=
begin
apply strict_mono_on.strict_convex_on_of_deriv (convex_Ici _) (continuous_on_pow _),
rw [deriv_pow', interior_Ici],
exact λ x (hx : 0 < x) y hy hxy, mul_lt_mul_of_pos_left (pow_lt_pow_of_lt_left hxy hx.le $
nat.sub_pos_of_lt hn) (nat.cast_pos.2 $ zero_lt_two.trans_le hn),
end
/-- Specific case of Jensen's inequality for sums of powers -/
lemma real.pow_sum_div_card_le_sum_pow {α : Type*} {s : finset α} {f : α → ℝ} (n : ℕ)
(hf : ∀ a ∈ s, 0 ≤ f a) : (∑ x in s, f x) ^ (n + 1) / s.card ^ n ≤ ∑ x in s, (f x) ^ (n + 1) :=
begin
rcases s.eq_empty_or_nonempty with rfl | hs,
{ simp_rw [finset.sum_empty, zero_pow' _ (nat.succ_ne_zero n), zero_div] },
{ have hs0 : 0 < (s.card : ℝ) := nat.cast_pos.2 hs.card_pos,
suffices : (∑ x in s, f x / s.card) ^ (n + 1) ≤ ∑ x in s, (f x ^ (n + 1) / s.card),
{ rwa [← finset.sum_div, ← finset.sum_div, div_pow, pow_succ' (s.card : ℝ),
← div_div, div_le_iff hs0, div_mul, div_self hs0.ne', div_one] at this },
have := @convex_on.map_sum_le ℝ ℝ ℝ α _ _ _ _ _ _ (set.Ici 0) (λ x, x ^ (n + 1)) s
(λ _, 1 / s.card) (coe ∘ f) (convex_on_pow (n + 1)) _ _ (λ i hi, set.mem_Ici.2 (hf i hi)),
{ simpa only [inv_mul_eq_div, one_div, algebra.id.smul_eq_mul] using this },
{ simp only [one_div, inv_nonneg, nat.cast_nonneg, implies_true_iff] },
{ simpa only [one_div, finset.sum_const, nsmul_eq_mul] using mul_inv_cancel hs0.ne' } }
end
lemma nnreal.pow_sum_div_card_le_sum_pow {α : Type*} (s : finset α) (f : α → ℝ≥0) (n : ℕ) :
(∑ x in s, f x) ^ (n + 1) / s.card ^ n ≤ ∑ x in s, (f x) ^ (n + 1) :=
by simpa only [← nnreal.coe_le_coe, nnreal.coe_sum, nonneg.coe_div, nnreal.coe_pow] using
@real.pow_sum_div_card_le_sum_pow α s (coe ∘ f) n (λ _ _, nnreal.coe_nonneg _)
lemma finset.prod_nonneg_of_card_nonpos_even
{α β : Type*} [linear_ordered_comm_ring β]
{f : α → β} [decidable_pred (λ x, f x ≤ 0)]
{s : finset α} (h0 : even (s.filter (λ x, f x ≤ 0)).card) :
0 ≤ ∏ x in s, f x :=
calc 0 ≤ (∏ x in s, ((if f x ≤ 0 then (-1:β) else 1) * f x)) :
finset.prod_nonneg (λ x _, by
{ split_ifs with hx hx, by simp [hx], simp at hx ⊢, exact le_of_lt hx })
... = _ : by rw [finset.prod_mul_distrib, finset.prod_ite, finset.prod_const_one,
mul_one, finset.prod_const, neg_one_pow_eq_pow_mod_two, nat.even_iff.1 h0, pow_zero, one_mul]
lemma int_prod_range_nonneg (m : ℤ) (n : ℕ) (hn : even n) :
0 ≤ ∏ k in finset.range n, (m - k) :=
begin
rcases hn with ⟨n, rfl⟩,
induction n with n ihn, { simp },
rw ← two_mul at ihn,
rw [← two_mul, nat.succ_eq_add_one, mul_add, mul_one, bit0, ← add_assoc, finset.prod_range_succ,
finset.prod_range_succ, mul_assoc],
refine mul_nonneg ihn _, generalize : (1 + 1) * n = k,
cases le_or_lt m k with hmk hmk,
{ have : m ≤ k + 1, from hmk.trans (lt_add_one ↑k).le,
convert mul_nonneg_of_nonpos_of_nonpos (sub_nonpos_of_le hmk) _,
convert sub_nonpos_of_le this },
{ exact mul_nonneg (sub_nonneg_of_le hmk.le) (sub_nonneg_of_le hmk) }
end
lemma int_prod_range_pos {m : ℤ} {n : ℕ} (hn : even n) (hm : m ∉ Ico (0 : ℤ) n) :
0 < ∏ k in finset.range n, (m - k) :=
begin
refine (int_prod_range_nonneg m n hn).lt_of_ne (λ h, hm _),
rw [eq_comm, finset.prod_eq_zero_iff] at h,
obtain ⟨a, ha, h⟩ := h,
rw sub_eq_zero.1 h,
exact ⟨int.coe_zero_le _, int.coe_nat_lt.2 $ finset.mem_range.1 ha⟩,
end
/-- `x^m`, `m : ℤ` is convex on `(0, +∞)` for all `m` -/
lemma convex_on_zpow (m : ℤ) : convex_on ℝ (Ioi 0) (λ x : ℝ, x^m) :=
begin
have : ∀ n : ℤ, differentiable_on ℝ (λ x, x ^ n) (Ioi (0 : ℝ)),
from λ n, differentiable_on_zpow _ _ (or.inl $ lt_irrefl _),
apply convex_on_of_deriv2_nonneg (convex_Ioi 0);
try { simp only [interior_Ioi, deriv_zpow'] },
{ exact (this _).continuous_on },
{ exact this _ },
{ exact (this _).const_mul _ },
{ intros x hx,
rw iter_deriv_zpow,
refine mul_nonneg _ (zpow_nonneg (le_of_lt hx) _),
exact_mod_cast int_prod_range_nonneg _ _ (even_bit0 1) }
end
/-- `x^m`, `m : ℤ` is convex on `(0, +∞)` for all `m` except `0` and `1`. -/
lemma strict_convex_on_zpow {m : ℤ} (hm₀ : m ≠ 0) (hm₁ : m ≠ 1) :
strict_convex_on ℝ (Ioi 0) (λ x : ℝ, x^m) :=
begin
apply strict_convex_on_of_deriv2_pos' (convex_Ioi 0),
{ exact (continuous_on_zpow₀ m).mono (λ x hx, ne_of_gt hx) },
intros x hx,
rw iter_deriv_zpow,
refine mul_pos _ (zpow_pos_of_pos hx _),
exact_mod_cast int_prod_range_pos (even_bit0 1) (λ hm, _),
norm_cast at hm,
rw ← finset.coe_Ico at hm,
fin_cases hm; cc,
end
lemma convex_on_rpow {p : ℝ} (hp : 1 ≤ p) : convex_on ℝ (Ici 0) (λ x : ℝ, x^p) :=
begin
have A : deriv (λ (x : ℝ), x ^ p) = λ x, p * x^(p-1), by { ext x, simp [hp] },
apply convex_on_of_deriv2_nonneg (convex_Ici 0),
{ exact continuous_on_id.rpow_const (λ x _, or.inr (zero_le_one.trans hp)) },
{ exact (differentiable_rpow_const hp).differentiable_on },
{ rw A,
assume x hx,
replace hx : x ≠ 0, by { simp at hx, exact ne_of_gt hx },
simp [differentiable_at.differentiable_within_at, hx] },
{ assume x hx,
replace hx : 0 < x, by simpa using hx,
suffices : 0 ≤ p * ((p - 1) * x ^ (p - 1 - 1)), by simpa [ne_of_gt hx, A],
apply mul_nonneg (le_trans zero_le_one hp),
exact mul_nonneg (sub_nonneg_of_le hp) (rpow_nonneg_of_nonneg hx.le _) }
end
lemma strict_convex_on_rpow {p : ℝ} (hp : 1 < p) : strict_convex_on ℝ (Ici 0) (λ x : ℝ, x^p) :=
begin
have A : deriv (λ (x : ℝ), x ^ p) = λ x, p * x^(p-1), by { ext x, simp [hp.le] },
apply strict_convex_on_of_deriv2_pos (convex_Ici 0),
{ exact continuous_on_id.rpow_const (λ x _, or.inr (zero_le_one.trans hp.le)) },
rw interior_Ici,
rintro x (hx : 0 < x),
suffices : 0 < p * ((p - 1) * x ^ (p - 1 - 1)), by simpa [ne_of_gt hx, A],
exact mul_pos (zero_lt_one.trans hp) (mul_pos (sub_pos_of_lt hp) (rpow_pos_of_pos hx _)),
end
lemma strict_concave_on_log_Ioi : strict_concave_on ℝ (Ioi 0) log :=
begin
have h₁ : Ioi 0 ⊆ ({0} : set ℝ)ᶜ,
{ exact λ x (hx : 0 < x) (hx' : x = 0), hx.ne' hx' },
refine strict_concave_on_of_deriv2_neg' (convex_Ioi 0)
(continuous_on_log.mono h₁) (λ x (hx : 0 < x), _),
rw [function.iterate_succ, function.iterate_one],
change (deriv (deriv log)) x < 0,
rw [deriv_log', deriv_inv],
exact neg_neg_of_pos (inv_pos.2 $ sq_pos_of_ne_zero _ hx.ne'),
end
lemma strict_concave_on_log_Iio : strict_concave_on ℝ (Iio 0) log :=
begin
have h₁ : Iio 0 ⊆ ({0} : set ℝ)ᶜ,
{ exact λ x (hx : x < 0) (hx' : x = 0), hx.ne hx' },
refine strict_concave_on_of_deriv2_neg' (convex_Iio 0)
(continuous_on_log.mono h₁) (λ x (hx : x < 0), _),
rw [function.iterate_succ, function.iterate_one],
change (deriv (deriv log)) x < 0,
rw [deriv_log', deriv_inv],
exact neg_neg_of_pos (inv_pos.2 $ sq_pos_of_ne_zero _ hx.ne),
end
section sqrt_mul_log
lemma has_deriv_at_sqrt_mul_log {x : ℝ} (hx : x ≠ 0) :
has_deriv_at (λ x, sqrt x * log x) ((2 + log x) / (2 * sqrt x)) x :=
begin
convert (has_deriv_at_sqrt hx).mul (has_deriv_at_log hx),
rw [add_div, div_mul_right (sqrt x) two_ne_zero, ←div_eq_mul_inv, sqrt_div_self',
add_comm, div_eq_mul_one_div, mul_comm],
end
lemma deriv_sqrt_mul_log (x : ℝ) : deriv (λ x, sqrt x * log x) x = (2 + log x) / (2 * sqrt x) :=
begin
cases lt_or_le 0 x with hx hx,
{ exact (has_deriv_at_sqrt_mul_log hx.ne').deriv },
{ rw [sqrt_eq_zero_of_nonpos hx, mul_zero, div_zero],
refine has_deriv_within_at.deriv_eq_zero _ (unique_diff_on_Iic 0 x hx),
refine (has_deriv_within_at_const x _ 0).congr_of_mem (λ x hx, _) hx,
rw [sqrt_eq_zero_of_nonpos hx, zero_mul] },
end
lemma deriv_sqrt_mul_log' : deriv (λ x, sqrt x * log x) = λ x, (2 + log x) / (2 * sqrt x) :=
funext deriv_sqrt_mul_log
lemma deriv2_sqrt_mul_log (x : ℝ) :
deriv^[2] (λ x, sqrt x * log x) x = -log x / (4 * sqrt x ^ 3) :=
begin
simp only [nat.iterate, deriv_sqrt_mul_log'],
cases le_or_lt x 0 with hx hx,
{ rw [sqrt_eq_zero_of_nonpos hx, zero_pow zero_lt_three, mul_zero, div_zero],
refine has_deriv_within_at.deriv_eq_zero _ (unique_diff_on_Iic 0 x hx),
refine (has_deriv_within_at_const _ _ 0).congr_of_mem (λ x hx, _) hx,
rw [sqrt_eq_zero_of_nonpos hx, mul_zero, div_zero] },
{ have h₀ : sqrt x ≠ 0, from sqrt_ne_zero'.2 hx,
convert (((has_deriv_at_log hx.ne').const_add 2).div
((has_deriv_at_sqrt hx.ne').const_mul 2) $ mul_ne_zero two_ne_zero h₀).deriv using 1,
nth_rewrite 2 [← mul_self_sqrt hx.le],
field_simp, ring },
end
lemma strict_concave_on_sqrt_mul_log_Ioi : strict_concave_on ℝ (set.Ioi 1) (λ x, sqrt x * log x) :=
begin
apply strict_concave_on_of_deriv2_neg' (convex_Ioi 1) _ (λ x hx, _),
{ exact continuous_sqrt.continuous_on.mul
(continuous_on_log.mono (λ x hx, ne_of_gt (zero_lt_one.trans hx))) },
{ rw [deriv2_sqrt_mul_log x],
exact div_neg_of_neg_of_pos (neg_neg_of_pos (log_pos hx))
(mul_pos four_pos (pow_pos (sqrt_pos.mpr (zero_lt_one.trans hx)) 3)) },
end
end sqrt_mul_log
open_locale real
lemma strict_concave_on_sin_Icc : strict_concave_on ℝ (Icc 0 π) sin :=
begin
apply strict_concave_on_of_deriv2_neg (convex_Icc _ _) continuous_on_sin (λ x hx, _),
rw interior_Icc at hx,
simp [sin_pos_of_mem_Ioo hx],
end
lemma strict_concave_on_cos_Icc : strict_concave_on ℝ (Icc (-(π/2)) (π/2)) cos :=
begin
apply strict_concave_on_of_deriv2_neg (convex_Icc _ _) continuous_on_cos (λ x hx, _),
rw interior_Icc at hx,
simp [cos_pos_of_mem_Ioo hx],
end
|
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