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/-
Copyright (c) 2020 Sébastien Gouëzel. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Sébastien Gouëzel
-/
import Mathlib.Algebra.BigOperators.Group.Finset.Powerset
import Mathlib.Algebra.NoZeroSMulDivisors.Pi
import Mathlib.Data.Finset.Sort
import Mathlib.Data.Fintype.BigOperators
import Mathlib.Data.Fintype.Powerset
import Mathlib.LinearAlgebra.Pi
import Mathlib.Logic.Equiv.Fintype
import Mathlib.Tactic.Abel
/-!
# Multilinear maps
We define multilinear maps as maps from `∀ (i : ι), M₁ i` to `M₂` which are linear in each
coordinate. Here, `M₁ i` and `M₂` are modules over a ring `R`, and `ι` is an arbitrary type
(although some statements will require it to be a fintype). This space, denoted by
`MultilinearMap R M₁ M₂`, inherits a module structure by pointwise addition and multiplication.
## Main definitions
* `MultilinearMap R M₁ M₂` is the space of multilinear maps from `∀ (i : ι), M₁ i` to `M₂`.
* `f.map_update_smul` is the multiplicativity of the multilinear map `f` along each coordinate.
* `f.map_update_add` is the additivity of the multilinear map `f` along each coordinate.
* `f.map_smul_univ` expresses the multiplicativity of `f` over all coordinates at the same time,
writing `f (fun i => c i • m i)` as `(∏ i, c i) • f m`.
* `f.map_add_univ` expresses the additivity of `f` over all coordinates at the same time, writing
`f (m + m')` as the sum over all subsets `s` of `ι` of `f (s.piecewise m m')`.
* `f.map_sum` expresses `f (Σ_{j₁} g₁ j₁, ..., Σ_{jₙ} gₙ jₙ)` as the sum of
`f (g₁ (r 1), ..., gₙ (r n))` where `r` ranges over all possible functions.
See `Mathlib.LinearAlgebra.Multilinear.Curry` for the currying of multilinear maps.
## Implementation notes
Expressing that a map is linear along the `i`-th coordinate when all other coordinates are fixed
can be done in two (equivalent) different ways:
* fixing a vector `m : ∀ (j : ι - i), M₁ j.val`, and then choosing separately the `i`-th coordinate
* fixing a vector `m : ∀j, M₁ j`, and then modifying its `i`-th coordinate
The second way is more artificial as the value of `m` at `i` is not relevant, but it has the
advantage of avoiding subtype inclusion issues. This is the definition we use, based on
`Function.update` that allows to change the value of `m` at `i`.
Note that the use of `Function.update` requires a `DecidableEq ι` term to appear somewhere in the
statement of `MultilinearMap.map_update_add'` and `MultilinearMap.map_update_smul'`.
Three possible choices are:
1. Requiring `DecidableEq ι` as an argument to `MultilinearMap` (as we did originally).
2. Using `Classical.decEq ι` in the statement of `map_add'` and `map_smul'`.
3. Quantifying over all possible `DecidableEq ι` instances in the statement of `map_add'` and
`map_smul'`.
Option 1 works fine, but puts unnecessary constraints on the user
(the zero map certainly does not need decidability).
Option 2 looks great at first, but in the common case when `ι = Fin n`
it introduces non-defeq decidability instance diamonds
within the context of proving `map_update_add'` and `map_update_smul'`,
of the form `Fin.decidableEq n = Classical.decEq (Fin n)`.
Option 3 of course does something similar, but of the form `Fin.decidableEq n = _inst`,
which is much easier to clean up since `_inst` is a free variable
and so the equality can just be substituted.
-/
open Fin Function Finset Set
universe uR uS uι v v' v₁ v₂ v₃
variable {R : Type uR} {S : Type uS} {ι : Type uι} {n : ℕ}
{M : Fin n.succ → Type v} {M₁ : ι → Type v₁} {M₂ : Type v₂} {M₃ : Type v₃} {M' : Type v'}
-- Don't generate injectivity lemmas, which the `simpNF` linter will time out on.
set_option genInjectivity false in
/-- Multilinear maps over the ring `R`, from `∀ i, M₁ i` to `M₂` where `M₁ i` and `M₂` are modules
over `R`. -/
structure MultilinearMap (R : Type uR) {ι : Type uι} (M₁ : ι → Type v₁) (M₂ : Type v₂) [Semiring R]
[∀ i, AddCommMonoid (M₁ i)] [AddCommMonoid M₂] [∀ i, Module R (M₁ i)] [Module R M₂] where
/-- The underlying multivariate function of a multilinear map. -/
toFun : (∀ i, M₁ i) → M₂
/-- A multilinear map is additive in every argument. -/
map_update_add' :
∀ [DecidableEq ι] (m : ∀ i, M₁ i) (i : ι) (x y : M₁ i),
toFun (update m i (x + y)) = toFun (update m i x) + toFun (update m i y)
/-- A multilinear map is compatible with scalar multiplication in every argument. -/
map_update_smul' :
∀ [DecidableEq ι] (m : ∀ i, M₁ i) (i : ι) (c : R) (x : M₁ i),
toFun (update m i (c • x)) = c • toFun (update m i x)
namespace MultilinearMap
section Semiring
variable [Semiring R] [∀ i, AddCommMonoid (M i)] [∀ i, AddCommMonoid (M₁ i)] [AddCommMonoid M₂]
[AddCommMonoid M₃] [AddCommMonoid M'] [∀ i, Module R (M i)] [∀ i, Module R (M₁ i)] [Module R M₂]
[Module R M₃] [Module R M'] (f f' : MultilinearMap R M₁ M₂)
instance : FunLike (MultilinearMap R M₁ M₂) (∀ i, M₁ i) M₂ where
coe f := f.toFun
coe_injective' f g h := by cases f; cases g; cases h; rfl
initialize_simps_projections MultilinearMap (toFun → apply)
/-- Constructor for `MultilinearMap R M₁ M₂` when the
index type `ι` is already endowed with a `DecidableEq` instance. -/
@[simps]
def mk' [DecidableEq ι] (f : (∀ i, M₁ i) → M₂)
(h₁ : ∀ (m : ∀ i, M₁ i) (i : ι) (x y : M₁ i),
f (update m i (x + y)) = f (update m i x) + f (update m i y) := by aesop)
(h₂ : ∀ (m : ∀ i, M₁ i) (i : ι) (c : R) (x : M₁ i),
f (update m i (c • x)) = c • f (update m i x) := by aesop) :
MultilinearMap R M₁ M₂ where
toFun := f
map_update_add' m i x y := by convert h₁ m i x y
map_update_smul' m i c x := by convert h₂ m i c x
@[simp]
theorem toFun_eq_coe : f.toFun = ⇑f :=
rfl
@[simp]
theorem coe_mk (f : (∀ i, M₁ i) → M₂) (h₁ h₂) : ⇑(⟨f, h₁, h₂⟩ : MultilinearMap R M₁ M₂) = f :=
rfl
theorem congr_fun {f g : MultilinearMap R M₁ M₂} (h : f = g) (x : ∀ i, M₁ i) : f x = g x :=
DFunLike.congr_fun h x
nonrec theorem congr_arg (f : MultilinearMap R M₁ M₂) {x y : ∀ i, M₁ i} (h : x = y) : f x = f y :=
DFunLike.congr_arg f h
theorem coe_injective : Injective ((↑) : MultilinearMap R M₁ M₂ → (∀ i, M₁ i) → M₂) :=
DFunLike.coe_injective
@[norm_cast]
theorem coe_inj {f g : MultilinearMap R M₁ M₂} : (f : (∀ i, M₁ i) → M₂) = g ↔ f = g :=
DFunLike.coe_fn_eq
@[ext]
theorem ext {f f' : MultilinearMap R M₁ M₂} (H : ∀ x, f x = f' x) : f = f' :=
DFunLike.ext _ _ H
@[simp]
theorem mk_coe (f : MultilinearMap R M₁ M₂) (h₁ h₂) :
(⟨f, h₁, h₂⟩ : MultilinearMap R M₁ M₂) = f := rfl
@[simp]
protected theorem map_update_add [DecidableEq ι] (m : ∀ i, M₁ i) (i : ι) (x y : M₁ i) :
f (update m i (x + y)) = f (update m i x) + f (update m i y) :=
f.map_update_add' m i x y
@[deprecated (since := "2024-11-03")] protected alias map_add := MultilinearMap.map_update_add
@[deprecated (since := "2024-11-03")] protected alias map_add' := MultilinearMap.map_update_add
/-- Earlier, this name was used by what is now called `MultilinearMap.map_update_smul_left`. -/
@[simp]
protected theorem map_update_smul [DecidableEq ι] (m : ∀ i, M₁ i) (i : ι) (c : R) (x : M₁ i) :
f (update m i (c • x)) = c • f (update m i x) :=
f.map_update_smul' m i c x
@[deprecated (since := "2024-11-03")] protected alias map_smul := MultilinearMap.map_update_smul
@[deprecated (since := "2024-11-03")] protected alias map_smul' := MultilinearMap.map_update_smul
theorem map_coord_zero {m : ∀ i, M₁ i} (i : ι) (h : m i = 0) : f m = 0 := by
classical
have : (0 : R) • (0 : M₁ i) = 0 := by simp
rw [← update_eq_self i m, h, ← this, f.map_update_smul, zero_smul]
@[simp]
theorem map_update_zero [DecidableEq ι] (m : ∀ i, M₁ i) (i : ι) : f (update m i 0) = 0 :=
f.map_coord_zero i (update_self i 0 m)
@[simp]
theorem map_zero [Nonempty ι] : f 0 = 0 := by
obtain ⟨i, _⟩ : ∃ i : ι, i ∈ Set.univ := Set.exists_mem_of_nonempty ι
exact map_coord_zero f i rfl
instance : Add (MultilinearMap R M₁ M₂) :=
⟨fun f f' =>
⟨fun x => f x + f' x, fun m i x y => by simp [add_left_comm, add_assoc], fun m i c x => by
| simp [smul_add]⟩⟩
@[simp]
| Mathlib/LinearAlgebra/Multilinear/Basic.lean | 184 | 186 |
/-
Copyright (c) 2019 Gabriel Ebner. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Gabriel Ebner, Sébastien Gouëzel
-/
import Mathlib.Analysis.Calculus.FDeriv.Basic
import Mathlib.Analysis.NormedSpace.OperatorNorm.NormedSpace
/-!
# One-dimensional derivatives
This file defines the derivative of a function `f : 𝕜 → F` where `𝕜` is a
normed field and `F` is a normed space over this field. The derivative of
such a function `f` at a point `x` is given by an element `f' : F`.
The theory is developed analogously to the [Fréchet
derivatives](./fderiv.html). We first introduce predicates defined in terms
of the corresponding predicates for Fréchet derivatives:
- `HasDerivAtFilter f f' x L` states that the function `f` has the
derivative `f'` at the point `x` as `x` goes along the filter `L`.
- `HasDerivWithinAt f f' s x` states that the function `f` has the
derivative `f'` at the point `x` within the subset `s`.
- `HasDerivAt f f' x` states that the function `f` has the derivative `f'`
at the point `x`.
- `HasStrictDerivAt f f' x` states that the function `f` has the derivative `f'`
at the point `x` in the sense of strict differentiability, i.e.,
`f y - f z = (y - z) • f' + o (y - z)` as `y, z → x`.
For the last two notions we also define a functional version:
- `derivWithin f s x` is a derivative of `f` at `x` within `s`. If the
derivative does not exist, then `derivWithin f s x` equals zero.
- `deriv f x` is a derivative of `f` at `x`. If the derivative does not
exist, then `deriv f x` equals zero.
The theorems `fderivWithin_derivWithin` and `fderiv_deriv` show that the
one-dimensional derivatives coincide with the general Fréchet derivatives.
We also show the existence and compute the derivatives of:
- constants
- the identity function
- linear maps (in `Linear.lean`)
- addition (in `Add.lean`)
- sum of finitely many functions (in `Add.lean`)
- negation (in `Add.lean`)
- subtraction (in `Add.lean`)
- star (in `Star.lean`)
- multiplication of two functions in `𝕜 → 𝕜` (in `Mul.lean`)
- multiplication of a function in `𝕜 → 𝕜` and of a function in `𝕜 → E` (in `Mul.lean`)
- powers of a function (in `Pow.lean` and `ZPow.lean`)
- inverse `x → x⁻¹` (in `Inv.lean`)
- division (in `Inv.lean`)
- composition of a function in `𝕜 → F` with a function in `𝕜 → 𝕜` (in `Comp.lean`)
- composition of a function in `F → E` with a function in `𝕜 → F` (in `Comp.lean`)
- inverse function (assuming that it exists; the inverse function theorem is in `Inverse.lean`)
- polynomials (in `Polynomial.lean`)
For most binary operations we also define `const_op` and `op_const` theorems for the cases when
the first or second argument is a constant. This makes writing chains of `HasDerivAt`'s easier,
and they more frequently lead to the desired result.
We set up the simplifier so that it can compute the derivative of simple functions. For instance,
```lean
example (x : ℝ) :
deriv (fun x ↦ cos (sin x) * exp x) x = (cos (sin x) - sin (sin x) * cos x) * exp x := by
simp; ring
```
The relationship between the derivative of a function and its definition from a standard
undergraduate course as the limit of the slope `(f y - f x) / (y - x)` as `y` tends to `𝓝[≠] x`
is developed in the file `Slope.lean`.
## Implementation notes
Most of the theorems are direct restatements of the corresponding theorems
for Fréchet derivatives.
The strategy to construct simp lemmas that give the simplifier the possibility to compute
derivatives is the same as the one for differentiability statements, as explained in
`FDeriv/Basic.lean`. See the explanations there.
-/
universe u v w
noncomputable section
open scoped Topology ENNReal NNReal
open Filter Asymptotics Set
open ContinuousLinearMap (smulRight smulRight_one_eq_iff)
section TVS
variable {𝕜 : Type u} [NontriviallyNormedField 𝕜]
variable {F : Type v} [AddCommGroup F] [Module 𝕜 F] [TopologicalSpace F]
section
variable [ContinuousSMul 𝕜 F]
/-- `f` has the derivative `f'` at the point `x` as `x` goes along the filter `L`.
That is, `f x' = f x + (x' - x) • f' + o(x' - x)` where `x'` converges along the filter `L`.
-/
def HasDerivAtFilter (f : 𝕜 → F) (f' : F) (x : 𝕜) (L : Filter 𝕜) :=
HasFDerivAtFilter f (smulRight (1 : 𝕜 →L[𝕜] 𝕜) f') x L
/-- `f` has the derivative `f'` at the point `x` within the subset `s`.
That is, `f x' = f x + (x' - x) • f' + o(x' - x)` where `x'` converges to `x` inside `s`.
-/
def HasDerivWithinAt (f : 𝕜 → F) (f' : F) (s : Set 𝕜) (x : 𝕜) :=
HasDerivAtFilter f f' x (𝓝[s] x)
/-- `f` has the derivative `f'` at the point `x`.
That is, `f x' = f x + (x' - x) • f' + o(x' - x)` where `x'` converges to `x`.
-/
def HasDerivAt (f : 𝕜 → F) (f' : F) (x : 𝕜) :=
HasDerivAtFilter f f' x (𝓝 x)
/-- `f` has the derivative `f'` at the point `x` in the sense of strict differentiability.
That is, `f y - f z = (y - z) • f' + o(y - z)` as `y, z → x`. -/
def HasStrictDerivAt (f : 𝕜 → F) (f' : F) (x : 𝕜) :=
HasStrictFDerivAt f (smulRight (1 : 𝕜 →L[𝕜] 𝕜) f') x
end
/-- Derivative of `f` at the point `x` within the set `s`, if it exists. Zero otherwise.
If the derivative exists (i.e., `∃ f', HasDerivWithinAt f f' s x`), then
`f x' = f x + (x' - x) • derivWithin f s x + o(x' - x)` where `x'` converges to `x` inside `s`.
-/
def derivWithin (f : 𝕜 → F) (s : Set 𝕜) (x : 𝕜) :=
fderivWithin 𝕜 f s x 1
/-- Derivative of `f` at the point `x`, if it exists. Zero otherwise.
If the derivative exists (i.e., `∃ f', HasDerivAt f f' x`), then
`f x' = f x + (x' - x) • deriv f x + o(x' - x)` where `x'` converges to `x`.
-/
def deriv (f : 𝕜 → F) (x : 𝕜) :=
fderiv 𝕜 f x 1
variable {f f₀ f₁ : 𝕜 → F}
variable {f' f₀' f₁' g' : F}
variable {x : 𝕜}
variable {s t : Set 𝕜}
variable {L L₁ L₂ : Filter 𝕜}
section
variable [ContinuousSMul 𝕜 F]
/-- Expressing `HasFDerivAtFilter f f' x L` in terms of `HasDerivAtFilter` -/
theorem hasFDerivAtFilter_iff_hasDerivAtFilter {f' : 𝕜 →L[𝕜] F} :
HasFDerivAtFilter f f' x L ↔ HasDerivAtFilter f (f' 1) x L := by simp [HasDerivAtFilter]
theorem HasFDerivAtFilter.hasDerivAtFilter {f' : 𝕜 →L[𝕜] F} :
HasFDerivAtFilter f f' x L → HasDerivAtFilter f (f' 1) x L :=
hasFDerivAtFilter_iff_hasDerivAtFilter.mp
/-- Expressing `HasFDerivWithinAt f f' s x` in terms of `HasDerivWithinAt` -/
theorem hasFDerivWithinAt_iff_hasDerivWithinAt {f' : 𝕜 →L[𝕜] F} :
HasFDerivWithinAt f f' s x ↔ HasDerivWithinAt f (f' 1) s x :=
hasFDerivAtFilter_iff_hasDerivAtFilter
/-- Expressing `HasDerivWithinAt f f' s x` in terms of `HasFDerivWithinAt` -/
theorem hasDerivWithinAt_iff_hasFDerivWithinAt {f' : F} :
HasDerivWithinAt f f' s x ↔ HasFDerivWithinAt f (smulRight (1 : 𝕜 →L[𝕜] 𝕜) f') s x :=
Iff.rfl
theorem HasFDerivWithinAt.hasDerivWithinAt {f' : 𝕜 →L[𝕜] F} :
HasFDerivWithinAt f f' s x → HasDerivWithinAt f (f' 1) s x :=
hasFDerivWithinAt_iff_hasDerivWithinAt.mp
theorem HasDerivWithinAt.hasFDerivWithinAt {f' : F} :
HasDerivWithinAt f f' s x → HasFDerivWithinAt f (smulRight (1 : 𝕜 →L[𝕜] 𝕜) f') s x :=
hasDerivWithinAt_iff_hasFDerivWithinAt.mp
/-- Expressing `HasFDerivAt f f' x` in terms of `HasDerivAt` -/
theorem hasFDerivAt_iff_hasDerivAt {f' : 𝕜 →L[𝕜] F} : HasFDerivAt f f' x ↔ HasDerivAt f (f' 1) x :=
hasFDerivAtFilter_iff_hasDerivAtFilter
theorem HasFDerivAt.hasDerivAt {f' : 𝕜 →L[𝕜] F} : HasFDerivAt f f' x → HasDerivAt f (f' 1) x :=
hasFDerivAt_iff_hasDerivAt.mp
theorem hasStrictFDerivAt_iff_hasStrictDerivAt {f' : 𝕜 →L[𝕜] F} :
HasStrictFDerivAt f f' x ↔ HasStrictDerivAt f (f' 1) x := by
simp [HasStrictDerivAt, HasStrictFDerivAt]
protected theorem HasStrictFDerivAt.hasStrictDerivAt {f' : 𝕜 →L[𝕜] F} :
HasStrictFDerivAt f f' x → HasStrictDerivAt f (f' 1) x :=
hasStrictFDerivAt_iff_hasStrictDerivAt.mp
theorem hasStrictDerivAt_iff_hasStrictFDerivAt :
HasStrictDerivAt f f' x ↔ HasStrictFDerivAt f (smulRight (1 : 𝕜 →L[𝕜] 𝕜) f') x :=
Iff.rfl
alias ⟨HasStrictDerivAt.hasStrictFDerivAt, _⟩ := hasStrictDerivAt_iff_hasStrictFDerivAt
/-- Expressing `HasDerivAt f f' x` in terms of `HasFDerivAt` -/
theorem hasDerivAt_iff_hasFDerivAt {f' : F} :
HasDerivAt f f' x ↔ HasFDerivAt f (smulRight (1 : 𝕜 →L[𝕜] 𝕜) f') x :=
Iff.rfl
alias ⟨HasDerivAt.hasFDerivAt, _⟩ := hasDerivAt_iff_hasFDerivAt
end
theorem derivWithin_zero_of_not_differentiableWithinAt (h : ¬DifferentiableWithinAt 𝕜 f s x) :
derivWithin f s x = 0 := by
unfold derivWithin
rw [fderivWithin_zero_of_not_differentiableWithinAt h]
simp
theorem differentiableWithinAt_of_derivWithin_ne_zero (h : derivWithin f s x ≠ 0) :
DifferentiableWithinAt 𝕜 f s x :=
not_imp_comm.1 derivWithin_zero_of_not_differentiableWithinAt h
end TVS
variable {𝕜 : Type u} [NontriviallyNormedField 𝕜]
variable {F : Type v} [NormedAddCommGroup F] [NormedSpace 𝕜 F]
variable {f f₀ f₁ : 𝕜 → F}
variable {f' f₀' f₁' g' : F}
variable {x : 𝕜}
variable {s t : Set 𝕜}
variable {L L₁ L₂ : Filter 𝕜}
theorem derivWithin_zero_of_not_accPt (h : ¬AccPt x (𝓟 s)) : derivWithin f s x = 0 := by
rw [derivWithin, fderivWithin_zero_of_not_accPt h, ContinuousLinearMap.zero_apply]
theorem derivWithin_zero_of_not_uniqueDiffWithinAt (h : ¬UniqueDiffWithinAt 𝕜 s x) :
derivWithin f s x = 0 :=
derivWithin_zero_of_not_accPt <| mt AccPt.uniqueDiffWithinAt h
set_option linter.deprecated false in
@[deprecated derivWithin_zero_of_not_accPt (since := "2025-04-20")]
theorem derivWithin_zero_of_isolated (h : 𝓝[s \ {x}] x = ⊥) : derivWithin f s x = 0 := by
rw [derivWithin, fderivWithin_zero_of_isolated h, ContinuousLinearMap.zero_apply]
theorem derivWithin_zero_of_nmem_closure (h : x ∉ closure s) : derivWithin f s x = 0 := by
rw [derivWithin, fderivWithin_zero_of_nmem_closure h, ContinuousLinearMap.zero_apply]
theorem deriv_zero_of_not_differentiableAt (h : ¬DifferentiableAt 𝕜 f x) : deriv f x = 0 := by
unfold deriv
rw [fderiv_zero_of_not_differentiableAt h]
simp
theorem differentiableAt_of_deriv_ne_zero (h : deriv f x ≠ 0) : DifferentiableAt 𝕜 f x :=
not_imp_comm.1 deriv_zero_of_not_differentiableAt h
theorem UniqueDiffWithinAt.eq_deriv (s : Set 𝕜) (H : UniqueDiffWithinAt 𝕜 s x)
(h : HasDerivWithinAt f f' s x) (h₁ : HasDerivWithinAt f f₁' s x) : f' = f₁' :=
smulRight_one_eq_iff.mp <| UniqueDiffWithinAt.eq H h h₁
theorem hasDerivAtFilter_iff_isLittleO :
HasDerivAtFilter f f' x L ↔ (fun x' : 𝕜 => f x' - f x - (x' - x) • f') =o[L] fun x' => x' - x :=
hasFDerivAtFilter_iff_isLittleO ..
theorem hasDerivAtFilter_iff_tendsto :
HasDerivAtFilter f f' x L ↔
Tendsto (fun x' : 𝕜 => ‖x' - x‖⁻¹ * ‖f x' - f x - (x' - x) • f'‖) L (𝓝 0) :=
hasFDerivAtFilter_iff_tendsto
theorem hasDerivWithinAt_iff_isLittleO :
HasDerivWithinAt f f' s x ↔
(fun x' : 𝕜 => f x' - f x - (x' - x) • f') =o[𝓝[s] x] fun x' => x' - x :=
hasFDerivAtFilter_iff_isLittleO ..
theorem hasDerivWithinAt_iff_tendsto :
HasDerivWithinAt f f' s x ↔
Tendsto (fun x' => ‖x' - x‖⁻¹ * ‖f x' - f x - (x' - x) • f'‖) (𝓝[s] x) (𝓝 0) :=
hasFDerivAtFilter_iff_tendsto
theorem hasDerivAt_iff_isLittleO :
HasDerivAt f f' x ↔ (fun x' : 𝕜 => f x' - f x - (x' - x) • f') =o[𝓝 x] fun x' => x' - x :=
hasFDerivAtFilter_iff_isLittleO ..
theorem hasDerivAt_iff_tendsto :
HasDerivAt f f' x ↔ Tendsto (fun x' => ‖x' - x‖⁻¹ * ‖f x' - f x - (x' - x) • f'‖) (𝓝 x) (𝓝 0) :=
hasFDerivAtFilter_iff_tendsto
theorem HasDerivAtFilter.isBigO_sub (h : HasDerivAtFilter f f' x L) :
(fun x' => f x' - f x) =O[L] fun x' => x' - x :=
HasFDerivAtFilter.isBigO_sub h
nonrec theorem HasDerivAtFilter.isBigO_sub_rev (hf : HasDerivAtFilter f f' x L) (hf' : f' ≠ 0) :
(fun x' => x' - x) =O[L] fun x' => f x' - f x :=
suffices AntilipschitzWith ‖f'‖₊⁻¹ (smulRight (1 : 𝕜 →L[𝕜] 𝕜) f') from hf.isBigO_sub_rev this
AddMonoidHomClass.antilipschitz_of_bound (smulRight (1 : 𝕜 →L[𝕜] 𝕜) f') fun x => by
simp [norm_smul, ← div_eq_inv_mul, mul_div_cancel_right₀ _ (mt norm_eq_zero.1 hf')]
theorem HasStrictDerivAt.hasDerivAt (h : HasStrictDerivAt f f' x) : HasDerivAt f f' x :=
h.hasFDerivAt
theorem hasDerivWithinAt_congr_set' {s t : Set 𝕜} (y : 𝕜) (h : s =ᶠ[𝓝[{y}ᶜ] x] t) :
HasDerivWithinAt f f' s x ↔ HasDerivWithinAt f f' t x :=
hasFDerivWithinAt_congr_set' y h
theorem hasDerivWithinAt_congr_set {s t : Set 𝕜} (h : s =ᶠ[𝓝 x] t) :
HasDerivWithinAt f f' s x ↔ HasDerivWithinAt f f' t x :=
hasFDerivWithinAt_congr_set h
alias ⟨HasDerivWithinAt.congr_set, _⟩ := hasDerivWithinAt_congr_set
@[simp]
theorem hasDerivWithinAt_diff_singleton :
HasDerivWithinAt f f' (s \ {x}) x ↔ HasDerivWithinAt f f' s x :=
hasFDerivWithinAt_diff_singleton _
@[simp]
theorem hasDerivWithinAt_Ioi_iff_Ici [PartialOrder 𝕜] :
HasDerivWithinAt f f' (Ioi x) x ↔ HasDerivWithinAt f f' (Ici x) x := by
rw [← Ici_diff_left, hasDerivWithinAt_diff_singleton]
alias ⟨HasDerivWithinAt.Ici_of_Ioi, HasDerivWithinAt.Ioi_of_Ici⟩ := hasDerivWithinAt_Ioi_iff_Ici
@[simp]
theorem hasDerivWithinAt_Iio_iff_Iic [PartialOrder 𝕜] :
HasDerivWithinAt f f' (Iio x) x ↔ HasDerivWithinAt f f' (Iic x) x := by
rw [← Iic_diff_right, hasDerivWithinAt_diff_singleton]
alias ⟨HasDerivWithinAt.Iic_of_Iio, HasDerivWithinAt.Iio_of_Iic⟩ := hasDerivWithinAt_Iio_iff_Iic
theorem HasDerivWithinAt.Ioi_iff_Ioo [LinearOrder 𝕜] [OrderClosedTopology 𝕜] {x y : 𝕜} (h : x < y) :
HasDerivWithinAt f f' (Ioo x y) x ↔ HasDerivWithinAt f f' (Ioi x) x :=
hasFDerivWithinAt_inter <| Iio_mem_nhds h
|
alias ⟨HasDerivWithinAt.Ioi_of_Ioo, HasDerivWithinAt.Ioo_of_Ioi⟩ := HasDerivWithinAt.Ioi_iff_Ioo
| Mathlib/Analysis/Calculus/Deriv/Basic.lean | 332 | 334 |
/-
Copyright (c) 2023 David Kurniadi Angdinata. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: David Kurniadi Angdinata
-/
import Mathlib.Algebra.Polynomial.Bivariate
import Mathlib.AlgebraicGeometry.EllipticCurve.Weierstrass
import Mathlib.AlgebraicGeometry.EllipticCurve.VariableChange
/-!
# Affine coordinates for Weierstrass curves
This file defines the type of points on a Weierstrass curve as an inductive, consisting of the point
at infinity and affine points satisfying a Weierstrass equation with a nonsingular condition. This
file also defines the negation and addition operations of the group law for this type, and proves
that they respect the Weierstrass equation and the nonsingular condition. The fact that they form an
abelian group is proven in `Mathlib/AlgebraicGeometry/EllipticCurve/Group.lean`.
## Mathematical background
Let `W` be a Weierstrass curve over a field `F` with coefficients `aᵢ`. An *affine point*
on `W` is a tuple `(x, y)` of elements in `R` satisfying the *Weierstrass equation* `W(X, Y) = 0` in
*affine coordinates*, where `W(X, Y) := Y² + a₁XY + a₃Y - (X³ + a₂X² + a₄X + a₆)`. It is
*nonsingular* if its partial derivatives `W_X(x, y)` and `W_Y(x, y)` do not vanish simultaneously.
The nonsingular affine points on `W` can be given negation and addition operations defined by a
secant-and-tangent process.
* Given a nonsingular affine point `P`, its *negation* `-P` is defined to be the unique third
nonsingular point of intersection between `W` and the vertical line through `P`.
Explicitly, if `P` is `(x, y)`, then `-P` is `(x, -y - a₁x - a₃)`.
* Given two nonsingular affine points `P` and `Q`, their *addition* `P + Q` is defined to be the
negation of the unique third nonsingular point of intersection between `W` and the line `L`
through `P` and `Q`. Explicitly, let `P` be `(x₁, y₁)` and let `Q` be `(x₂, y₂)`.
* If `x₁ = x₂` and `y₁ = -y₂ - a₁x₂ - a₃`, then `L` is vertical.
* If `x₁ = x₂` and `y₁ ≠ -y₂ - a₁x₂ - a₃`, then `L` is the tangent of `W` at `P = Q`, and has
slope `ℓ := (3x₁² + 2a₂x₁ + a₄ - a₁y₁) / (2y₁ + a₁x₁ + a₃)`.
* Otherwise `x₁ ≠ x₂`, then `L` is the secant of `W` through `P` and `Q`, and has slope
`ℓ := (y₁ - y₂) / (x₁ - x₂)`.
In the last two cases, the `X`-coordinate of `P + Q` is then the unique third solution of the
equation obtained by substituting the line `Y = ℓ(X - x₁) + y₁` into the Weierstrass equation,
and can be written down explicitly as `x := ℓ² + a₁ℓ - a₂ - x₁ - x₂` by inspecting the
coefficients of `X²`. The `Y`-coordinate of `P + Q`, after applying the final negation that maps
`Y` to `-Y - a₁X - a₃`, is precisely `y := -(ℓ(x - x₁) + y₁) - a₁x - a₃`.
The type of nonsingular points `W⟮F⟯` in affine coordinates is an inductive, consisting of the
unique point at infinity `𝓞` and nonsingular affine points `(x, y)`. Then `W⟮F⟯` can be endowed with
a group law, with `𝓞` as the identity nonsingular point, which is uniquely determined by these
formulae.
## Main definitions
* `WeierstrassCurve.Affine.Equation`: the Weierstrass equation of an affine Weierstrass curve.
* `WeierstrassCurve.Affine.Nonsingular`: the nonsingular condition on an affine Weierstrass curve.
* `WeierstrassCurve.Affine.Point`: a nonsingular rational point on an affine Weierstrass curve.
* `WeierstrassCurve.Affine.Point.neg`: the negation operation on an affine Weierstrass curve.
* `WeierstrassCurve.Affine.Point.add`: the addition operation on an affine Weierstrass curve.
## Main statements
* `WeierstrassCurve.Affine.equation_neg`: negation preserves the Weierstrass equation.
* `WeierstrassCurve.Affine.equation_add`: addition preserves the Weierstrass equation.
* `WeierstrassCurve.Affine.nonsingular_neg`: negation preserves the nonsingular condition.
* `WeierstrassCurve.Affine.nonsingular_add`: addition preserves the nonsingular condition.
* `WeierstrassCurve.Affine.nonsingular_of_Δ_ne_zero`: an affine Weierstrass curve is nonsingular at
every point if its discriminant is non-zero.
* `WeierstrassCurve.Affine.nonsingular`: an affine elliptic curve is nonsingular at every point.
## Notations
* `W⟮K⟯`: the group of nonsingular rational points on `W` base changed to `K`.
## References
[J Silverman, *The Arithmetic of Elliptic Curves*][silverman2009]
## Tags
elliptic curve, rational point, affine coordinates
-/
open Polynomial
open scoped Polynomial.Bivariate
local macro "C_simp" : tactic =>
`(tactic| simp only [map_ofNat, C_0, C_1, C_neg, C_add, C_sub, C_mul, C_pow])
local macro "derivative_simp" : tactic =>
`(tactic| simp only [derivative_C, derivative_X, derivative_X_pow, derivative_neg, derivative_add,
derivative_sub, derivative_mul, derivative_sq])
local macro "eval_simp" : tactic =>
`(tactic| simp only [eval_C, eval_X, eval_neg, eval_add, eval_sub, eval_mul, eval_pow, evalEval])
local macro "map_simp" : tactic =>
`(tactic| simp only [map_ofNat, map_neg, map_add, map_sub, map_mul, map_pow, map_div₀,
Polynomial.map_ofNat, map_C, map_X, Polynomial.map_neg, Polynomial.map_add, Polynomial.map_sub,
Polynomial.map_mul, Polynomial.map_pow, Polynomial.map_div, coe_mapRingHom,
WeierstrassCurve.map])
universe r s u v w
/-! ## Weierstrass curves -/
namespace WeierstrassCurve
variable {R : Type r} {S : Type s} {A F : Type u} {B K : Type v} {L : Type w}
variable (R) in
/-- An abbreviation for a Weierstrass curve in affine coordinates. -/
abbrev Affine : Type r :=
WeierstrassCurve R
/-- The conversion from a Weierstrass curve to affine coordinates. -/
abbrev toAffine (W : WeierstrassCurve R) : Affine R :=
W
namespace Affine
variable [CommRing R] [CommRing S] [CommRing A] [CommRing B] [Field F] [Field K] [Field L]
{W' : Affine R} {W : Affine F}
section Equation
/-! ### Weierstrass equations -/
variable (W') in
/-- The polynomial `W(X, Y) := Y² + a₁XY + a₃Y - (X³ + a₂X² + a₄X + a₆)` associated to a Weierstrass
curve `W` over a ring `R` in affine coordinates.
For ease of polynomial manipulation, this is represented as a term of type `R[X][X]`, where the
inner variable represents `X` and the outer variable represents `Y`. For clarity, the alternative
notations `Y` and `R[X][Y]` are provided in the `Polynomial.Bivariate` scope to represent the outer
variable and the bivariate polynomial ring `R[X][X]` respectively. -/
noncomputable def polynomial : R[X][Y] :=
Y ^ 2 + C (C W'.a₁ * X + C W'.a₃) * Y - C (X ^ 3 + C W'.a₂ * X ^ 2 + C W'.a₄ * X + C W'.a₆)
lemma polynomial_eq : W'.polynomial = Cubic.toPoly
⟨0, 1, Cubic.toPoly ⟨0, 0, W'.a₁, W'.a₃⟩, Cubic.toPoly ⟨-1, -W'.a₂, -W'.a₄, -W'.a₆⟩⟩ := by
simp only [polynomial, Cubic.toPoly]
C_simp
ring1
lemma polynomial_ne_zero [Nontrivial R] : W'.polynomial ≠ 0 := by
rw [polynomial_eq]
exact Cubic.ne_zero_of_b_ne_zero one_ne_zero
@[simp]
lemma degree_polynomial [Nontrivial R] : W'.polynomial.degree = 2 := by
rw [polynomial_eq]
exact Cubic.degree_of_b_ne_zero' one_ne_zero
@[simp]
lemma natDegree_polynomial [Nontrivial R] : W'.polynomial.natDegree = 2 := by
rw [polynomial_eq]
exact Cubic.natDegree_of_b_ne_zero' one_ne_zero
lemma monic_polynomial : W'.polynomial.Monic := by
nontriviality R
simpa only [polynomial_eq] using Cubic.monic_of_b_eq_one'
lemma irreducible_polynomial [IsDomain R] : Irreducible W'.polynomial := by
by_contra h
rcases (monic_polynomial.not_irreducible_iff_exists_add_mul_eq_coeff natDegree_polynomial).mp h
with ⟨f, g, h0, h1⟩
simp only [polynomial_eq, Cubic.coeff_eq_c, Cubic.coeff_eq_d] at h0 h1
apply_fun degree at h0 h1
rw [Cubic.degree_of_a_ne_zero' <| neg_ne_zero.mpr <| one_ne_zero' R, degree_mul] at h0
apply (h1.symm.le.trans Cubic.degree_of_b_eq_zero').not_lt
rcases Nat.WithBot.add_eq_three_iff.mp h0.symm with h | h | h | h
iterate 2 rw [degree_add_eq_right_of_degree_lt] <;> simp only [h] <;> decide
iterate 2 rw [degree_add_eq_left_of_degree_lt] <;> simp only [h] <;> decide
lemma evalEval_polynomial (x y : R) : W'.polynomial.evalEval x y =
y ^ 2 + W'.a₁ * x * y + W'.a₃ * y - (x ^ 3 + W'.a₂ * x ^ 2 + W'.a₄ * x + W'.a₆) := by
simp only [polynomial]
eval_simp
rw [add_mul, ← add_assoc]
@[simp]
lemma evalEval_polynomial_zero : W'.polynomial.evalEval 0 0 = -W'.a₆ := by
simp only [evalEval_polynomial, zero_add, zero_sub, mul_zero, zero_pow <| Nat.succ_ne_zero _]
variable (W') in
/-- The proposition that an affine point `(x, y)` lies in a Weierstrass curve `W`.
In other words, it satisfies the Weierstrass equation `W(X, Y) = 0`. -/
def Equation (x y : R) : Prop :=
W'.polynomial.evalEval x y = 0
lemma equation_iff' (x y : R) : W'.Equation x y ↔
y ^ 2 + W'.a₁ * x * y + W'.a₃ * y - (x ^ 3 + W'.a₂ * x ^ 2 + W'.a₄ * x + W'.a₆) = 0 := by
rw [Equation, evalEval_polynomial]
lemma equation_iff (x y : R) : W'.Equation x y ↔
y ^ 2 + W'.a₁ * x * y + W'.a₃ * y = x ^ 3 + W'.a₂ * x ^ 2 + W'.a₄ * x + W'.a₆ := by
rw [equation_iff', sub_eq_zero]
@[simp]
lemma equation_zero : W'.Equation 0 0 ↔ W'.a₆ = 0 := by
rw [Equation, evalEval_polynomial_zero, neg_eq_zero]
lemma equation_iff_variableChange (x y : R) :
W'.Equation x y ↔ (VariableChange.mk 1 x 0 y • W').toAffine.Equation 0 0 := by
rw [equation_iff', ← neg_eq_zero, equation_zero, variableChange_a₆, inv_one, Units.val_one]
congr! 1
ring1
end Equation
section Nonsingular
/-! ### Nonsingular Weierstrass equations -/
variable (W') in
/-- The partial derivative `W_X(X, Y)` with respect to `X` of the polynomial `W(X, Y)` associated to
a Weierstrass curve `W` in affine coordinates. -/
-- TODO: define this in terms of `Polynomial.derivative`.
noncomputable def polynomialX : R[X][Y] :=
C (C W'.a₁) * Y - C (C 3 * X ^ 2 + C (2 * W'.a₂) * X + C W'.a₄)
lemma evalEval_polynomialX (x y : R) :
W'.polynomialX.evalEval x y = W'.a₁ * y - (3 * x ^ 2 + 2 * W'.a₂ * x + W'.a₄) := by
simp only [polynomialX]
eval_simp
@[simp]
lemma evalEval_polynomialX_zero : W'.polynomialX.evalEval 0 0 = -W'.a₄ := by
simp only [evalEval_polynomialX, zero_add, zero_sub, mul_zero, zero_pow <| Nat.succ_ne_zero _]
variable (W') in
/-- The partial derivative `W_Y(X, Y)` with respect to `Y` of the polynomial `W(X, Y)` associated to
a Weierstrass curve `W` in affine coordinates. -/
-- TODO: define this in terms of `Polynomial.derivative`.
noncomputable def polynomialY : R[X][Y] :=
C (C 2) * Y + C (C W'.a₁ * X + C W'.a₃)
lemma evalEval_polynomialY (x y : R) : W'.polynomialY.evalEval x y = 2 * y + W'.a₁ * x + W'.a₃ := by
simp only [polynomialY]
eval_simp
rw [← add_assoc]
@[simp]
lemma evalEval_polynomialY_zero : W'.polynomialY.evalEval 0 0 = W'.a₃ := by
simp only [evalEval_polynomialY, zero_add, mul_zero]
variable (W') in
/-- The proposition that an affine point `(x, y)` on a Weierstrass curve `W` is nonsingular.
In other words, either `W_X(x, y) ≠ 0` or `W_Y(x, y) ≠ 0`.
Note that this definition is only mathematically accurate for fields. -/
-- TODO: generalise this definition to be mathematically accurate for a larger class of rings.
def Nonsingular (x y : R) : Prop :=
W'.Equation x y ∧ (W'.polynomialX.evalEval x y ≠ 0 ∨ W'.polynomialY.evalEval x y ≠ 0)
lemma nonsingular_iff' (x y : R) : W'.Nonsingular x y ↔ W'.Equation x y ∧
(W'.a₁ * y - (3 * x ^ 2 + 2 * W'.a₂ * x + W'.a₄) ≠ 0 ∨ 2 * y + W'.a₁ * x + W'.a₃ ≠ 0) := by
rw [Nonsingular, equation_iff', evalEval_polynomialX, evalEval_polynomialY]
lemma nonsingular_iff (x y : R) : W'.Nonsingular x y ↔ W'.Equation x y ∧
(W'.a₁ * y ≠ 3 * x ^ 2 + 2 * W'.a₂ * x + W'.a₄ ∨ y ≠ -y - W'.a₁ * x - W'.a₃) := by
rw [nonsingular_iff', sub_ne_zero, ← sub_ne_zero (a := y)]
congr! 3
ring1
@[simp]
lemma nonsingular_zero : W'.Nonsingular 0 0 ↔ W'.a₆ = 0 ∧ (W'.a₃ ≠ 0 ∨ W'.a₄ ≠ 0) := by
rw [Nonsingular, equation_zero, evalEval_polynomialX_zero, neg_ne_zero, evalEval_polynomialY_zero,
or_comm]
lemma nonsingular_iff_variableChange (x y : R) :
W'.Nonsingular x y ↔ (VariableChange.mk 1 x 0 y • W').toAffine.Nonsingular 0 0 := by
rw [nonsingular_iff', equation_iff_variableChange, equation_zero, ← neg_ne_zero, or_comm,
nonsingular_zero, variableChange_a₃, variableChange_a₄, inv_one, Units.val_one]
simp only [variableChange_def]
congr! 3 <;> ring1
private lemma equation_zero_iff_nonsingular_zero_of_Δ_ne_zero (hΔ : W'.Δ ≠ 0) :
W'.Equation 0 0 ↔ W'.Nonsingular 0 0 := by
simp only [equation_zero, nonsingular_zero, iff_self_and]
contrapose! hΔ
simp only [b₂, b₄, b₆, b₈, Δ, hΔ]
ring1
/-- A Weierstrass curve is nonsingular at every point if its discriminant is non-zero. -/
lemma equation_iff_nonsingular_of_Δ_ne_zero {x y : R} (hΔ : W'.Δ ≠ 0) :
W'.Equation x y ↔ W'.Nonsingular x y := by
rw [equation_iff_variableChange, nonsingular_iff_variableChange,
equation_zero_iff_nonsingular_zero_of_Δ_ne_zero <| by
rwa [variableChange_Δ, inv_one, Units.val_one, one_pow, one_mul]]
/-- An elliptic curve is nonsingular at every point. -/
lemma equation_iff_nonsingular [Nontrivial R] [W'.IsElliptic] {x y : R} :
W'.toAffine.Equation x y ↔ W'.toAffine.Nonsingular x y :=
W'.toAffine.equation_iff_nonsingular_of_Δ_ne_zero <| W'.coe_Δ' ▸ W'.Δ'.ne_zero
@[deprecated (since := "2025-03-01")] alias nonsingular_zero_of_Δ_ne_zero :=
equation_iff_nonsingular_of_Δ_ne_zero
@[deprecated (since := "2025-03-01")] alias nonsingular_of_Δ_ne_zero :=
equation_iff_nonsingular_of_Δ_ne_zero
@[deprecated (since := "2025-03-01")] alias nonsingular := equation_iff_nonsingular
end Nonsingular
section Ring
/-! ### Group operation polynomials over a ring -/
variable (W') in
/-- The negation polynomial `-Y - a₁X - a₃` associated to the negation of a nonsingular affine point
on a Weierstrass curve. -/
noncomputable def negPolynomial : R[X][Y] :=
-(Y : R[X][Y]) - C (C W'.a₁ * X + C W'.a₃)
lemma Y_sub_polynomialY : Y - W'.polynomialY = W'.negPolynomial := by
rw [polynomialY, negPolynomial]
C_simp
ring1
lemma Y_sub_negPolynomial : Y - W'.negPolynomial = W'.polynomialY := by
rw [← Y_sub_polynomialY, sub_sub_cancel]
variable (W') in
/-- The `Y`-coordinate of `-(x, y)` for a nonsingular affine point `(x, y)` on a Weierstrass curve
`W`.
This depends on `W`, and has argument order: `x`, `y`. -/
@[simp]
def negY (x y : R) : R :=
-y - W'.a₁ * x - W'.a₃
lemma negY_negY (x y : R) : W'.negY x (W'.negY x y) = y := by
simp only [negY]
ring1
| lemma evalEval_negPolynomial (x y : R) : W'.negPolynomial.evalEval x y = W'.negY x y := by
rw [negY, sub_sub, negPolynomial]
| Mathlib/AlgebraicGeometry/EllipticCurve/Affine.lean | 338 | 339 |
/-
Copyright (c) 2018 Mario Carneiro. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Mario Carneiro
-/
import Mathlib.Computability.Tape
import Mathlib.Data.Fintype.Option
import Mathlib.Data.Fintype.Prod
import Mathlib.Data.Fintype.Pi
import Mathlib.Data.PFun
import Mathlib.Computability.PostTuringMachine
/-!
# Turing machines
The files `PostTuringMachine.lean` and `TuringMachine.lean` define
a sequence of simple machine languages, starting with Turing machines and working
up to more complex languages based on Wang B-machines.
`PostTuringMachine.lean` covers the TM0 model and TM1 model;
`TuringMachine.lean` adds the TM2 model.
## Naming conventions
Each model of computation in this file shares a naming convention for the elements of a model of
computation. These are the parameters for the language:
* `Γ` is the alphabet on the tape.
* `Λ` is the set of labels, or internal machine states.
* `σ` is the type of internal memory, not on the tape. This does not exist in the TM0 model, and
later models achieve this by mixing it into `Λ`.
* `K` is used in the TM2 model, which has multiple stacks, and denotes the number of such stacks.
All of these variables denote "essentially finite" types, but for technical reasons it is
convenient to allow them to be infinite anyway. When using an infinite type, we will be interested
to prove that only finitely many values of the type are ever interacted with.
Given these parameters, there are a few common structures for the model that arise:
* `Stmt` is the set of all actions that can be performed in one step. For the TM0 model this set is
finite, and for later models it is an infinite inductive type representing "possible program
texts".
* `Cfg` is the set of instantaneous configurations, that is, the state of the machine together with
its environment.
* `Machine` is the set of all machines in the model. Usually this is approximately a function
`Λ → Stmt`, although different models have different ways of halting and other actions.
* `step : Cfg → Option Cfg` is the function that describes how the state evolves over one step.
If `step c = none`, then `c` is a terminal state, and the result of the computation is read off
from `c`. Because of the type of `step`, these models are all deterministic by construction.
* `init : Input → Cfg` sets up the initial state. The type `Input` depends on the model;
in most cases it is `List Γ`.
* `eval : Machine → Input → Part Output`, given a machine `M` and input `i`, starts from
`init i`, runs `step` until it reaches an output, and then applies a function `Cfg → Output` to
the final state to obtain the result. The type `Output` depends on the model.
* `Supports : Machine → Finset Λ → Prop` asserts that a machine `M` starts in `S : Finset Λ`, and
can only ever jump to other states inside `S`. This implies that the behavior of `M` on any input
cannot depend on its values outside `S`. We use this to allow `Λ` to be an infinite set when
convenient, and prove that only finitely many of these states are actually accessible. This
formalizes "essentially finite" mentioned above.
-/
assert_not_exists MonoidWithZero
open List (Vector)
open Relation
open Nat (iterate)
open Function (update iterate_succ iterate_succ_apply iterate_succ' iterate_succ_apply'
iterate_zero_apply)
namespace Turing
/-!
## The TM2 model
The TM2 model removes the tape entirely from the TM1 model, replacing it with an arbitrary (finite)
collection of stacks, each with elements of different types (the alphabet of stack `k : K` is
`Γ k`). The statements are:
* `push k (f : σ → Γ k) q` puts `f a` on the `k`-th stack, then does `q`.
* `pop k (f : σ → Option (Γ k) → σ) q` changes the state to `f a (S k).head`, where `S k` is the
value of the `k`-th stack, and removes this element from the stack, then does `q`.
* `peek k (f : σ → Option (Γ k) → σ) q` changes the state to `f a (S k).head`, where `S k` is the
value of the `k`-th stack, then does `q`.
* `load (f : σ → σ) q` reads nothing but applies `f` to the internal state, then does `q`.
* `branch (f : σ → Bool) qtrue qfalse` does `qtrue` or `qfalse` according to `f a`.
* `goto (f : σ → Λ)` jumps to label `f a`.
* `halt` halts on the next step.
The configuration is a tuple `(l, var, stk)` where `l : Option Λ` is the current label to run or
`none` for the halting state, `var : σ` is the (finite) internal state, and `stk : ∀ k, List (Γ k)`
is the collection of stacks. (Note that unlike the `TM0` and `TM1` models, these are not
`ListBlank`s, they have definite ends that can be detected by the `pop` command.)
Given a designated stack `k` and a value `L : List (Γ k)`, the initial configuration has all the
stacks empty except the designated "input" stack; in `eval` this designated stack also functions
as the output stack.
-/
namespace TM2
variable {K : Type*}
-- Index type of stacks
variable (Γ : K → Type*)
-- Type of stack elements
variable (Λ : Type*)
-- Type of function labels
variable (σ : Type*)
-- Type of variable settings
/-- The TM2 model removes the tape entirely from the TM1 model,
replacing it with an arbitrary (finite) collection of stacks.
The operation `push` puts an element on one of the stacks,
and `pop` removes an element from a stack (and modifying the
internal state based on the result). `peek` modifies the
internal state but does not remove an element. -/
inductive Stmt
| push : ∀ k, (σ → Γ k) → Stmt → Stmt
| peek : ∀ k, (σ → Option (Γ k) → σ) → Stmt → Stmt
| pop : ∀ k, (σ → Option (Γ k) → σ) → Stmt → Stmt
| load : (σ → σ) → Stmt → Stmt
| branch : (σ → Bool) → Stmt → Stmt → Stmt
| goto : (σ → Λ) → Stmt
| halt : Stmt
open Stmt
instance Stmt.inhabited : Inhabited (Stmt Γ Λ σ) :=
⟨halt⟩
/-- A configuration in the TM2 model is a label (or `none` for the halt state), the state of
local variables, and the stacks. (Note that the stacks are not `ListBlank`s, they have a definite
size.) -/
structure Cfg where
/-- The current label to run (or `none` for the halting state) -/
l : Option Λ
/-- The internal state -/
var : σ
/-- The (finite) collection of internal stacks -/
stk : ∀ k, List (Γ k)
instance Cfg.inhabited [Inhabited σ] : Inhabited (Cfg Γ Λ σ) :=
⟨⟨default, default, default⟩⟩
variable {Γ Λ σ}
section
variable [DecidableEq K]
/-- The step function for the TM2 model. -/
def stepAux : Stmt Γ Λ σ → σ → (∀ k, List (Γ k)) → Cfg Γ Λ σ
| push k f q, v, S => stepAux q v (update S k (f v :: S k))
| peek k f q, v, S => stepAux q (f v (S k).head?) S
| pop k f q, v, S => stepAux q (f v (S k).head?) (update S k (S k).tail)
| load a q, v, S => stepAux q (a v) S
| branch f q₁ q₂, v, S => cond (f v) (stepAux q₁ v S) (stepAux q₂ v S)
| goto f, v, S => ⟨some (f v), v, S⟩
| halt, v, S => ⟨none, v, S⟩
/-- The step function for the TM2 model. -/
def step (M : Λ → Stmt Γ Λ σ) : Cfg Γ Λ σ → Option (Cfg Γ Λ σ)
| ⟨none, _, _⟩ => none
| ⟨some l, v, S⟩ => some (stepAux (M l) v S)
attribute [simp] stepAux.eq_1 stepAux.eq_2 stepAux.eq_3
stepAux.eq_4 stepAux.eq_5 stepAux.eq_6 stepAux.eq_7 step.eq_1 step.eq_2
/-- The (reflexive) reachability relation for the TM2 model. -/
def Reaches (M : Λ → Stmt Γ Λ σ) : Cfg Γ Λ σ → Cfg Γ Λ σ → Prop :=
ReflTransGen fun a b ↦ b ∈ step M a
end
/-- Given a set `S` of states, `SupportsStmt S q` means that `q` only jumps to states in `S`. -/
def SupportsStmt (S : Finset Λ) : Stmt Γ Λ σ → Prop
| push _ _ q => SupportsStmt S q
| peek _ _ q => SupportsStmt S q
| pop _ _ q => SupportsStmt S q
| load _ q => SupportsStmt S q
| branch _ q₁ q₂ => SupportsStmt S q₁ ∧ SupportsStmt S q₂
| goto l => ∀ v, l v ∈ S
| halt => True
section
open scoped Classical in
/-- The set of subtree statements in a statement. -/
noncomputable def stmts₁ : Stmt Γ Λ σ → Finset (Stmt Γ Λ σ)
| Q@(push _ _ q) => insert Q (stmts₁ q)
| Q@(peek _ _ q) => insert Q (stmts₁ q)
| Q@(pop _ _ q) => insert Q (stmts₁ q)
| Q@(load _ q) => insert Q (stmts₁ q)
| Q@(branch _ q₁ q₂) => insert Q (stmts₁ q₁ ∪ stmts₁ q₂)
| Q@(goto _) => {Q}
| Q@halt => {Q}
theorem stmts₁_self {q : Stmt Γ Λ σ} : q ∈ stmts₁ q := by
cases q <;> simp only [Finset.mem_insert_self, Finset.mem_singleton_self, stmts₁]
theorem stmts₁_trans {q₁ q₂ : Stmt Γ Λ σ} : q₁ ∈ stmts₁ q₂ → stmts₁ q₁ ⊆ stmts₁ q₂ := by
classical
intro h₁₂ q₀ h₀₁
induction q₂ with (
simp only [stmts₁] at h₁₂ ⊢
simp only [Finset.mem_insert, Finset.mem_singleton, Finset.mem_union] at h₁₂)
| branch f q₁ q₂ IH₁ IH₂ =>
rcases h₁₂ with (rfl | h₁₂ | h₁₂)
· unfold stmts₁ at h₀₁
exact h₀₁
· exact Finset.mem_insert_of_mem (Finset.mem_union_left _ (IH₁ h₁₂))
· exact Finset.mem_insert_of_mem (Finset.mem_union_right _ (IH₂ h₁₂))
| goto l => subst h₁₂; exact h₀₁
| halt => subst h₁₂; exact h₀₁
| load _ q IH | _ _ _ q IH =>
rcases h₁₂ with (rfl | h₁₂)
· unfold stmts₁ at h₀₁
exact h₀₁
· exact Finset.mem_insert_of_mem (IH h₁₂)
theorem stmts₁_supportsStmt_mono {S : Finset Λ} {q₁ q₂ : Stmt Γ Λ σ} (h : q₁ ∈ stmts₁ q₂)
(hs : SupportsStmt S q₂) : SupportsStmt S q₁ := by
induction q₂ with
simp only [stmts₁, SupportsStmt, Finset.mem_insert, Finset.mem_union, Finset.mem_singleton]
at h hs
| branch f q₁ q₂ IH₁ IH₂ => rcases h with (rfl | h | h); exacts [hs, IH₁ h hs.1, IH₂ h hs.2]
| goto l => subst h; exact hs
| halt => subst h; trivial
| load _ _ IH | _ _ _ _ IH => rcases h with (rfl | h) <;> [exact hs; exact IH h hs]
open scoped Classical in
/-- The set of statements accessible from initial set `S` of labels. -/
noncomputable def stmts (M : Λ → Stmt Γ Λ σ) (S : Finset Λ) : Finset (Option (Stmt Γ Λ σ)) :=
Finset.insertNone (S.biUnion fun q ↦ stmts₁ (M q))
theorem stmts_trans {M : Λ → Stmt Γ Λ σ} {S : Finset Λ} {q₁ q₂ : Stmt Γ Λ σ} (h₁ : q₁ ∈ stmts₁ q₂) :
some q₂ ∈ stmts M S → some q₁ ∈ stmts M S := by
simp only [stmts, Finset.mem_insertNone, Finset.mem_biUnion, Option.mem_def, Option.some.injEq,
forall_eq', exists_imp, and_imp]
exact fun l ls h₂ ↦ ⟨_, ls, stmts₁_trans h₂ h₁⟩
end
variable [Inhabited Λ]
/-- Given a TM2 machine `M` and a set `S` of states, `Supports M S` means that all states in
`S` jump only to other states in `S`. -/
def Supports (M : Λ → Stmt Γ Λ σ) (S : Finset Λ) :=
default ∈ S ∧ ∀ q ∈ S, SupportsStmt S (M q)
theorem stmts_supportsStmt {M : Λ → Stmt Γ Λ σ} {S : Finset Λ} {q : Stmt Γ Λ σ}
(ss : Supports M S) : some q ∈ stmts M S → SupportsStmt S q := by
simp only [stmts, Finset.mem_insertNone, Finset.mem_biUnion, Option.mem_def, Option.some.injEq,
forall_eq', exists_imp, and_imp]
exact fun l ls h ↦ stmts₁_supportsStmt_mono h (ss.2 _ ls)
variable [DecidableEq K]
theorem step_supports (M : Λ → Stmt Γ Λ σ) {S : Finset Λ} (ss : Supports M S) :
∀ {c c' : Cfg Γ Λ σ}, c' ∈ step M c → c.l ∈ Finset.insertNone S → c'.l ∈ Finset.insertNone S
| ⟨some l₁, v, T⟩, c', h₁, h₂ => by
replace h₂ := ss.2 _ (Finset.some_mem_insertNone.1 h₂)
simp only [step, Option.mem_def, Option.some.injEq] at h₁; subst c'
revert h₂; induction M l₁ generalizing v T with intro hs
| branch p q₁' q₂' IH₁ IH₂ =>
unfold stepAux; cases p v
· exact IH₂ _ _ hs.2
· exact IH₁ _ _ hs.1
| goto => exact Finset.some_mem_insertNone.2 (hs _)
| halt => apply Multiset.mem_cons_self
| load _ _ IH | _ _ _ _ IH => exact IH _ _ hs
variable [Inhabited σ]
/-- The initial state of the TM2 model. The input is provided on a designated stack. -/
def init (k : K) (L : List (Γ k)) : Cfg Γ Λ σ :=
⟨some default, default, update (fun _ ↦ []) k L⟩
/-- Evaluates a TM2 program to completion, with the output on the same stack as the input. -/
def eval (M : Λ → Stmt Γ Λ σ) (k : K) (L : List (Γ k)) : Part (List (Γ k)) :=
(Turing.eval (step M) (init k L)).map fun c ↦ c.stk k
end TM2
/-!
## TM2 emulator in TM1
To prove that TM2 computable functions are TM1 computable, we need to reduce each TM2 program to a
TM1 program. So suppose a TM2 program is given. This program has to maintain a whole collection of
stacks, but we have only one tape, so we must "multiplex" them all together. Pictorially, if stack
1 contains `[a, b]` and stack 2 contains `[c, d, e, f]` then the tape looks like this:
```
bottom: ... | _ | T | _ | _ | _ | _ | ...
stack 1: ... | _ | b | a | _ | _ | _ | ...
stack 2: ... | _ | f | e | d | c | _ | ...
```
where a tape element is a vertical slice through the diagram. Here the alphabet is
`Γ' := Bool × ∀ k, Option (Γ k)`, where:
* `bottom : Bool` is marked only in one place, the initial position of the TM, and represents the
tail of all stacks. It is never modified.
* `stk k : Option (Γ k)` is the value of the `k`-th stack, if in range, otherwise `none` (which is
the blank value). Note that the head of the stack is at the far end; this is so that push and pop
don't have to do any shifting.
In "resting" position, the TM is sitting at the position marked `bottom`. For non-stack actions,
it operates in place, but for the stack actions `push`, `peek`, and `pop`, it must shuttle to the
end of the appropriate stack, make its changes, and then return to the bottom. So the states are:
* `normal (l : Λ)`: waiting at `bottom` to execute function `l`
* `go k (s : StAct k) (q : Stmt₂)`: travelling to the right to get to the end of stack `k` in
order to perform stack action `s`, and later continue with executing `q`
* `ret (q : Stmt₂)`: travelling to the left after having performed a stack action, and executing
`q` once we arrive
Because of the shuttling, emulation overhead is `O(n)`, where `n` is the current maximum of the
length of all stacks. Therefore a program that takes `k` steps to run in TM2 takes `O((m+k)k)`
steps to run when emulated in TM1, where `m` is the length of the input.
-/
namespace TM2to1
-- A displaced lemma proved in unnecessary generality
theorem stk_nth_val {K : Type*} {Γ : K → Type*} {L : ListBlank (∀ k, Option (Γ k))} {k S} (n)
(hL : ListBlank.map (proj k) L = ListBlank.mk (List.map some S).reverse) :
L.nth n k = S.reverse[n]? := by
rw [← proj_map_nth, hL, ← List.map_reverse, ListBlank.nth_mk,
List.getI_eq_iget_getElem?, List.getElem?_map]
cases S.reverse[n]? <;> rfl
variable (K : Type*)
variable (Γ : K → Type*)
variable {Λ σ : Type*}
/-- The alphabet of the TM2 simulator on TM1 is a marker for the stack bottom,
plus a vector of stack elements for each stack, or none if the stack does not extend this far. -/
def Γ' :=
Bool × ∀ k, Option (Γ k)
variable {K Γ}
instance Γ'.inhabited : Inhabited (Γ' K Γ) :=
⟨⟨false, fun _ ↦ none⟩⟩
instance Γ'.fintype [DecidableEq K] [Fintype K] [∀ k, Fintype (Γ k)] : Fintype (Γ' K Γ) :=
instFintypeProd _ _
/-- The bottom marker is fixed throughout the calculation, so we use the `addBottom` function
to express the program state in terms of a tape with only the stacks themselves. -/
def addBottom (L : ListBlank (∀ k, Option (Γ k))) : ListBlank (Γ' K Γ) :=
ListBlank.cons (true, L.head) (L.tail.map ⟨Prod.mk false, rfl⟩)
theorem addBottom_map (L : ListBlank (∀ k, Option (Γ k))) :
(addBottom L).map ⟨Prod.snd, by rfl⟩ = L := by
simp only [addBottom, ListBlank.map_cons]
convert ListBlank.cons_head_tail L
generalize ListBlank.tail L = L'
refine L'.induction_on fun l ↦ ?_; simp
theorem addBottom_modifyNth (f : (∀ k, Option (Γ k)) → ∀ k, Option (Γ k))
(L : ListBlank (∀ k, Option (Γ k))) (n : ℕ) :
(addBottom L).modifyNth (fun a ↦ (a.1, f a.2)) n = addBottom (L.modifyNth f n) := by
cases n <;>
simp only [addBottom, ListBlank.head_cons, ListBlank.modifyNth, ListBlank.tail_cons]
congr; symm; apply ListBlank.map_modifyNth; intro; rfl
theorem addBottom_nth_snd (L : ListBlank (∀ k, Option (Γ k))) (n : ℕ) :
((addBottom L).nth n).2 = L.nth n := by
conv => rhs; rw [← addBottom_map L, ListBlank.nth_map]
theorem addBottom_nth_succ_fst (L : ListBlank (∀ k, Option (Γ k))) (n : ℕ) :
((addBottom L).nth (n + 1)).1 = false := by
rw [ListBlank.nth_succ, addBottom, ListBlank.tail_cons, ListBlank.nth_map]
theorem addBottom_head_fst (L : ListBlank (∀ k, Option (Γ k))) : (addBottom L).head.1 = true := by
rw [addBottom, ListBlank.head_cons]
variable (K Γ σ) in
/-- A stack action is a command that interacts with the top of a stack. Our default position
is at the bottom of all the stacks, so we have to hold on to this action while going to the end
to modify the stack. -/
inductive StAct (k : K)
| push : (σ → Γ k) → StAct k
| peek : (σ → Option (Γ k) → σ) → StAct k
| pop : (σ → Option (Γ k) → σ) → StAct k
instance StAct.inhabited {k : K} : Inhabited (StAct K Γ σ k) :=
⟨StAct.peek fun s _ ↦ s⟩
section
open StAct
/-- The TM2 statement corresponding to a stack action. -/
def stRun {k : K} : StAct K Γ σ k → TM2.Stmt Γ Λ σ → TM2.Stmt Γ Λ σ
| push f => TM2.Stmt.push k f
| peek f => TM2.Stmt.peek k f
| pop f => TM2.Stmt.pop k f
/-- The effect of a stack action on the local variables, given the value of the stack. -/
def stVar {k : K} (v : σ) (l : List (Γ k)) : StAct K Γ σ k → σ
| push _ => v
| peek f => f v l.head?
| pop f => f v l.head?
/-- The effect of a stack action on the stack. -/
def stWrite {k : K} (v : σ) (l : List (Γ k)) : StAct K Γ σ k → List (Γ k)
| push f => f v :: l
| peek _ => l
| pop _ => l.tail
/-- We have partitioned the TM2 statements into "stack actions", which require going to the end
of the stack, and all other actions, which do not. This is a modified recursor which lumps the
stack actions into one. -/
@[elab_as_elim]
def stmtStRec.{l} {motive : TM2.Stmt Γ Λ σ → Sort l}
(run : ∀ (k) (s : StAct K Γ σ k) (q) (_ : motive q), motive (stRun s q))
(load : ∀ (a q) (_ : motive q), motive (TM2.Stmt.load a q))
(branch : ∀ (p q₁ q₂) (_ : motive q₁) (_ : motive q₂), motive (TM2.Stmt.branch p q₁ q₂))
(goto : ∀ l, motive (TM2.Stmt.goto l)) (halt : motive TM2.Stmt.halt) : ∀ n, motive n
| TM2.Stmt.push _ f q => run _ (push f) _ (stmtStRec run load branch goto halt q)
| TM2.Stmt.peek _ f q => run _ (peek f) _ (stmtStRec run load branch goto halt q)
| TM2.Stmt.pop _ f q => run _ (pop f) _ (stmtStRec run load branch goto halt q)
| TM2.Stmt.load _ q => load _ _ (stmtStRec run load branch goto halt q)
| TM2.Stmt.branch _ q₁ q₂ =>
branch _ _ _ (stmtStRec run load branch goto halt q₁) (stmtStRec run load branch goto halt q₂)
| TM2.Stmt.goto _ => goto _
| TM2.Stmt.halt => halt
theorem supports_run (S : Finset Λ) {k : K} (s : StAct K Γ σ k) (q : TM2.Stmt Γ Λ σ) :
TM2.SupportsStmt S (stRun s q) ↔ TM2.SupportsStmt S q := by
cases s <;> rfl
end
variable (K Γ Λ σ)
/-- The machine states of the TM2 emulator. We can either be in a normal state when waiting for the
next TM2 action, or we can be in the "go" and "return" states to go to the top of the stack and
return to the bottom, respectively. -/
inductive Λ'
| normal : Λ → Λ'
| go (k : K) : StAct K Γ σ k → TM2.Stmt Γ Λ σ → Λ'
| ret : TM2.Stmt Γ Λ σ → Λ'
variable {K Γ Λ σ}
open Λ'
instance Λ'.inhabited [Inhabited Λ] : Inhabited (Λ' K Γ Λ σ) :=
⟨normal default⟩
open TM1.Stmt
section
variable [DecidableEq K]
/-- The program corresponding to state transitions at the end of a stack. Here we start out just
after the top of the stack, and should end just after the new top of the stack. -/
def trStAct {k : K} (q : TM1.Stmt (Γ' K Γ) (Λ' K Γ Λ σ) σ) :
StAct K Γ σ k → TM1.Stmt (Γ' K Γ) (Λ' K Γ Λ σ) σ
| StAct.push f => (write fun a s ↦ (a.1, update a.2 k <| some <| f s)) <| move Dir.right q
| StAct.peek f => move Dir.left <| (load fun a s ↦ f s (a.2 k)) <| move Dir.right q
| StAct.pop f =>
branch (fun a _ ↦ a.1) (load (fun _ s ↦ f s none) q)
(move Dir.left <|
(load fun a s ↦ f s (a.2 k)) <| write (fun a _ ↦ (a.1, update a.2 k none)) q)
/-- The initial state for the TM2 emulator, given an initial TM2 state. All stacks start out empty
except for the input stack, and the stack bottom mark is set at the head. -/
def trInit (k : K) (L : List (Γ k)) : List (Γ' K Γ) :=
let L' : List (Γ' K Γ) := L.reverse.map fun a ↦ (false, update (fun _ ↦ none) k (some a))
(true, L'.headI.2) :: L'.tail
theorem step_run {k : K} (q : TM2.Stmt Γ Λ σ) (v : σ) (S : ∀ k, List (Γ k)) : ∀ s : StAct K Γ σ k,
TM2.stepAux (stRun s q) v S = TM2.stepAux q (stVar v (S k) s) (update S k (stWrite v (S k) s))
| StAct.push _ => rfl
| StAct.peek f => by unfold stWrite; rw [Function.update_eq_self]; rfl
| StAct.pop _ => rfl
end
/-- The translation of TM2 statements to TM1 statements. regular actions have direct equivalents,
but stack actions are deferred by going to the corresponding `go` state, so that we can find the
appropriate stack top. -/
def trNormal : TM2.Stmt Γ Λ σ → TM1.Stmt (Γ' K Γ) (Λ' K Γ Λ σ) σ
| TM2.Stmt.push k f q => goto fun _ _ ↦ go k (StAct.push f) q
| TM2.Stmt.peek k f q => goto fun _ _ ↦ go k (StAct.peek f) q
| TM2.Stmt.pop k f q => goto fun _ _ ↦ go k (StAct.pop f) q
| TM2.Stmt.load a q => load (fun _ ↦ a) (trNormal q)
| TM2.Stmt.branch f q₁ q₂ => branch (fun _ ↦ f) (trNormal q₁) (trNormal q₂)
| TM2.Stmt.goto l => goto fun _ s ↦ normal (l s)
| TM2.Stmt.halt => halt
theorem trNormal_run {k : K} (s : StAct K Γ σ k) (q : TM2.Stmt Γ Λ σ) :
trNormal (stRun s q) = goto fun _ _ ↦ go k s q := by
cases s <;> rfl
section
open scoped Classical in
/-- The set of machine states accessible from an initial TM2 statement. -/
noncomputable def trStmts₁ : TM2.Stmt Γ Λ σ → Finset (Λ' K Γ Λ σ)
| TM2.Stmt.push k f q => {go k (StAct.push f) q, ret q} ∪ trStmts₁ q
| TM2.Stmt.peek k f q => {go k (StAct.peek f) q, ret q} ∪ trStmts₁ q
| TM2.Stmt.pop k f q => {go k (StAct.pop f) q, ret q} ∪ trStmts₁ q
| TM2.Stmt.load _ q => trStmts₁ q
| TM2.Stmt.branch _ q₁ q₂ => trStmts₁ q₁ ∪ trStmts₁ q₂
| _ => ∅
theorem trStmts₁_run {k : K} {s : StAct K Γ σ k} {q : TM2.Stmt Γ Λ σ} :
open scoped Classical in
trStmts₁ (stRun s q) = {go k s q, ret q} ∪ trStmts₁ q := by
cases s <;> simp only [trStmts₁, stRun]
theorem tr_respects_aux₂ [DecidableEq K] {k : K} {q : TM1.Stmt (Γ' K Γ) (Λ' K Γ Λ σ) σ} {v : σ}
{S : ∀ k, List (Γ k)} {L : ListBlank (∀ k, Option (Γ k))}
(hL : ∀ k, L.map (proj k) = ListBlank.mk ((S k).map some).reverse) (o : StAct K Γ σ k) :
let v' := stVar v (S k) o
let Sk' := stWrite v (S k) o
let S' := update S k Sk'
∃ L' : ListBlank (∀ k, Option (Γ k)),
(∀ k, L'.map (proj k) = ListBlank.mk ((S' k).map some).reverse) ∧
TM1.stepAux (trStAct q o) v
((Tape.move Dir.right)^[(S k).length] (Tape.mk' ∅ (addBottom L))) =
TM1.stepAux q v' ((Tape.move Dir.right)^[(S' k).length] (Tape.mk' ∅ (addBottom L'))) := by
simp only [Function.update_self]; cases o with simp only [stWrite, stVar, trStAct, TM1.stepAux]
| push f =>
have := Tape.write_move_right_n fun a : Γ' K Γ ↦ (a.1, update a.2 k (some (f v)))
refine
⟨_, fun k' ↦ ?_, by
-- Porting note: `rw [...]` to `erw [...]; rfl`.
-- https://github.com/leanprover-community/mathlib4/issues/5164
rw [Tape.move_right_n_head, List.length, Tape.mk'_nth_nat, this]
erw [addBottom_modifyNth fun a ↦ update a k (some (f v))]
rw [Nat.add_one, iterate_succ']
rfl⟩
refine ListBlank.ext fun i ↦ ?_
rw [ListBlank.nth_map, ListBlank.nth_modifyNth, proj, PointedMap.mk_val]
by_cases h' : k' = k
· subst k'
split_ifs with h
<;> simp only [List.reverse_cons, Function.update_self, ListBlank.nth_mk, List.map]
· rw [List.getI_eq_getElem _, List.getElem_append_right] <;>
simp only [List.length_append, List.length_reverse, List.length_map, ← h,
Nat.sub_self, List.length_singleton, List.getElem_singleton,
le_refl, Nat.lt_succ_self]
rw [← proj_map_nth, hL, ListBlank.nth_mk]
rcases lt_or_gt_of_ne h with h | h
· rw [List.getI_append]
simpa only [List.length_map, List.length_reverse] using h
· rw [gt_iff_lt] at h
rw [List.getI_eq_default, List.getI_eq_default] <;>
simp only [Nat.add_one_le_iff, h, List.length, le_of_lt, List.length_reverse,
List.length_append, List.length_map]
· split_ifs <;> rw [Function.update_of_ne h', ← proj_map_nth, hL]
rw [Function.update_of_ne h']
| peek f =>
rw [Function.update_eq_self]
use L, hL; rw [Tape.move_left_right]; congr
cases e : S k; · rfl
rw [List.length_cons, iterate_succ', Function.comp, Tape.move_right_left,
Tape.move_right_n_head, Tape.mk'_nth_nat, addBottom_nth_snd, stk_nth_val _ (hL k), e,
List.reverse_cons, ← List.length_reverse, List.getElem?_concat_length]
rfl
| pop f =>
rcases e : S k with - | ⟨hd, tl⟩
· simp only [Tape.mk'_head, ListBlank.head_cons, Tape.move_left_mk', List.length,
Tape.write_mk', List.head?, iterate_zero_apply, List.tail_nil]
rw [← e, Function.update_eq_self]
exact ⟨L, hL, by rw [addBottom_head_fst, cond]⟩
· refine
⟨_, fun k' ↦ ?_, by
erw [List.length_cons, Tape.move_right_n_head, Tape.mk'_nth_nat, addBottom_nth_succ_fst,
cond_false, iterate_succ', Function.comp, Tape.move_right_left, Tape.move_right_n_head,
Tape.mk'_nth_nat, Tape.write_move_right_n fun a : Γ' K Γ ↦ (a.1, update a.2 k none),
addBottom_modifyNth fun a ↦ update a k none, addBottom_nth_snd,
stk_nth_val _ (hL k), e,
show (List.cons hd tl).reverse[tl.length]? = some hd by
rw [List.reverse_cons, ← List.length_reverse, List.getElem?_concat_length],
List.head?, List.tail]⟩
refine ListBlank.ext fun i ↦ ?_
rw [ListBlank.nth_map, ListBlank.nth_modifyNth, proj, PointedMap.mk_val]
by_cases h' : k' = k
· subst k'
split_ifs with h <;> simp only [Function.update_self, ListBlank.nth_mk, List.tail]
· rw [List.getI_eq_default]
· rfl
rw [h, List.length_reverse, List.length_map]
rw [← proj_map_nth, hL, ListBlank.nth_mk, e, List.map, List.reverse_cons]
rcases lt_or_gt_of_ne h with h | h
· rw [List.getI_append]
simpa only [List.length_map, List.length_reverse] using h
· rw [gt_iff_lt] at h
rw [List.getI_eq_default, List.getI_eq_default] <;>
simp only [Nat.add_one_le_iff, h, List.length, le_of_lt, List.length_reverse,
List.length_append, List.length_map]
· split_ifs <;> rw [Function.update_of_ne h', ← proj_map_nth, hL]
rw [Function.update_of_ne h']
end
variable [DecidableEq K]
variable (M : Λ → TM2.Stmt Γ Λ σ)
/-- The TM2 emulator machine states written as a TM1 program.
This handles the `go` and `ret` states, which shuttle to and from a stack top. -/
def tr : Λ' K Γ Λ σ → TM1.Stmt (Γ' K Γ) (Λ' K Γ Λ σ) σ
| normal q => trNormal (M q)
| go k s q =>
branch (fun a _ ↦ (a.2 k).isNone) (trStAct (goto fun _ _ ↦ ret q) s)
(move Dir.right <| goto fun _ _ ↦ go k s q)
| ret q => branch (fun a _ ↦ a.1) (trNormal q) (move Dir.left <| goto fun _ _ ↦ ret q)
/-- The relation between TM2 configurations and TM1 configurations of the TM2 emulator. -/
inductive TrCfg : TM2.Cfg Γ Λ σ → TM1.Cfg (Γ' K Γ) (Λ' K Γ Λ σ) σ → Prop
| mk {q : Option Λ} {v : σ} {S : ∀ k, List (Γ k)} (L : ListBlank (∀ k, Option (Γ k))) :
(∀ k, L.map (proj k) = ListBlank.mk ((S k).map some).reverse) →
TrCfg ⟨q, v, S⟩ ⟨q.map normal, v, Tape.mk' ∅ (addBottom L)⟩
theorem tr_respects_aux₁ {k} (o q v) {S : List (Γ k)} {L : ListBlank (∀ k, Option (Γ k))}
(hL : L.map (proj k) = ListBlank.mk (S.map some).reverse) (n) (H : n ≤ S.length) :
Reaches₀ (TM1.step (tr M)) ⟨some (go k o q), v, Tape.mk' ∅ (addBottom L)⟩
⟨some (go k o q), v, (Tape.move Dir.right)^[n] (Tape.mk' ∅ (addBottom L))⟩ := by
induction' n with n IH; · rfl
apply (IH (le_of_lt H)).tail
rw [iterate_succ_apply']
simp only [TM1.step, TM1.stepAux, tr, Tape.mk'_nth_nat, Tape.move_right_n_head,
addBottom_nth_snd, Option.mem_def]
rw [stk_nth_val _ hL, List.getElem?_eq_getElem]
· rfl
· rwa [List.length_reverse]
theorem tr_respects_aux₃ {q v} {L : ListBlank (∀ k, Option (Γ k))} (n) : Reaches₀ (TM1.step (tr M))
⟨some (ret q), v, (Tape.move Dir.right)^[n] (Tape.mk' ∅ (addBottom L))⟩
⟨some (ret q), v, Tape.mk' ∅ (addBottom L)⟩ := by
induction' n with n IH; · rfl
refine Reaches₀.head ?_ IH
simp only [Option.mem_def, TM1.step]
rw [Option.some_inj, tr, TM1.stepAux, Tape.move_right_n_head, Tape.mk'_nth_nat,
addBottom_nth_succ_fst, TM1.stepAux, iterate_succ', Function.comp_apply, Tape.move_right_left]
rfl
theorem tr_respects_aux {q v T k} {S : ∀ k, List (Γ k)}
(hT : ∀ k, ListBlank.map (proj k) T = ListBlank.mk ((S k).map some).reverse)
(o : StAct K Γ σ k)
(IH : ∀ {v : σ} {S : ∀ k : K, List (Γ k)} {T : ListBlank (∀ k, Option (Γ k))},
(∀ k, ListBlank.map (proj k) T = ListBlank.mk ((S k).map some).reverse) →
∃ b, TrCfg (TM2.stepAux q v S) b ∧
Reaches (TM1.step (tr M)) (TM1.stepAux (trNormal q) v (Tape.mk' ∅ (addBottom T))) b) :
∃ b, TrCfg (TM2.stepAux (stRun o q) v S) b ∧ Reaches (TM1.step (tr M))
(TM1.stepAux (trNormal (stRun o q)) v (Tape.mk' ∅ (addBottom T))) b := by
simp only [trNormal_run, step_run]
have hgo := tr_respects_aux₁ M o q v (hT k) _ le_rfl
obtain ⟨T', hT', hrun⟩ := tr_respects_aux₂ (Λ := Λ) hT o
have := hgo.tail' rfl
rw [tr, TM1.stepAux, Tape.move_right_n_head, Tape.mk'_nth_nat, addBottom_nth_snd,
stk_nth_val _ (hT k), List.getElem?_eq_none (le_of_eq List.length_reverse),
Option.isNone, cond, hrun, TM1.stepAux] at this
obtain ⟨c, gc, rc⟩ := IH hT'
refine ⟨c, gc, (this.to₀.trans (tr_respects_aux₃ M _) c (TransGen.head' rfl ?_)).to_reflTransGen⟩
rw [tr, TM1.stepAux, Tape.mk'_head, addBottom_head_fst]
exact rc
attribute [local simp] Respects TM2.step TM2.stepAux trNormal
theorem tr_respects : Respects (TM2.step M) (TM1.step (tr M)) TrCfg := by
-- Porting note (https://github.com/leanprover-community/mathlib4/issues/12129): additional beta reduction needed
intro c₁ c₂ h
obtain @⟨- | l, v, S, L, hT⟩ := h; · constructor
rsuffices ⟨b, c, r⟩ : ∃ b, _ ∧ Reaches (TM1.step (tr M)) _ _
· exact ⟨b, c, TransGen.head' rfl r⟩
simp only [tr]
generalize M l = N
induction N using stmtStRec generalizing v S L hT with
| run k s q IH => exact tr_respects_aux M hT s @IH
| load a _ IH => exact IH _ hT
| branch p q₁ q₂ IH₁ IH₂ =>
unfold TM2.stepAux trNormal TM1.stepAux
beta_reduce
cases p v <;> [exact IH₂ _ hT; exact IH₁ _ hT]
| goto => exact ⟨_, ⟨_, hT⟩, ReflTransGen.refl⟩
| halt => exact ⟨_, ⟨_, hT⟩, ReflTransGen.refl⟩
section
variable [Inhabited Λ] [Inhabited σ]
theorem trCfg_init (k) (L : List (Γ k)) : TrCfg (TM2.init k L)
(TM1.init (trInit k L) : TM1.Cfg (Γ' K Γ) (Λ' K Γ Λ σ) σ) := by
rw [(_ : TM1.init _ = _)]
· refine ⟨ListBlank.mk (L.reverse.map fun a ↦ update default k (some a)), fun k' ↦ ?_⟩
refine ListBlank.ext fun i ↦ ?_
rw [ListBlank.map_mk, ListBlank.nth_mk, List.getI_eq_iget_getElem?, List.map_map]
have : ((proj k').f ∘ fun a => update (β := fun k => Option (Γ k)) default k (some a))
= fun a => (proj k').f (update (β := fun k => Option (Γ k)) default k (some a)) := rfl
rw [this, List.getElem?_map, proj, PointedMap.mk_val]
simp only []
by_cases h : k' = k
· subst k'
simp only [Function.update_self]
rw [ListBlank.nth_mk, List.getI_eq_iget_getElem?, ← List.map_reverse, List.getElem?_map]
· simp only [Function.update_of_ne h]
rw [ListBlank.nth_mk, List.getI_eq_iget_getElem?, List.map, List.reverse_nil]
cases L.reverse[i]? <;> rfl
· rw [trInit, TM1.init]
congr <;> cases L.reverse <;> try rfl
simp only [List.map_map, List.tail_cons, List.map]
rfl
theorem tr_eval_dom (k) (L : List (Γ k)) :
(TM1.eval (tr M) (trInit k L)).Dom ↔ (TM2.eval M k L).Dom :=
Turing.tr_eval_dom (tr_respects M) (trCfg_init k L)
theorem tr_eval (k) (L : List (Γ k)) {L₁ L₂} (H₁ : L₁ ∈ TM1.eval (tr M) (trInit k L))
(H₂ : L₂ ∈ TM2.eval M k L) :
∃ (S : ∀ k, List (Γ k)) (L' : ListBlank (∀ k, Option (Γ k))),
addBottom L' = L₁ ∧
(∀ k, L'.map (proj k) = ListBlank.mk ((S k).map some).reverse) ∧ S k = L₂ := by
obtain ⟨c₁, h₁, rfl⟩ := (Part.mem_map_iff _).1 H₁
obtain ⟨c₂, h₂, rfl⟩ := (Part.mem_map_iff _).1 H₂
obtain ⟨_, ⟨L', hT⟩, h₃⟩ := Turing.tr_eval (tr_respects M) (trCfg_init k L) h₂
cases Part.mem_unique h₁ h₃
exact ⟨_, L', by simp only [Tape.mk'_right₀], hT, rfl⟩
end
section
variable [Inhabited Λ]
open scoped Classical in
/-- The support of a set of TM2 states in the TM2 emulator. -/
noncomputable def trSupp (S : Finset Λ) : Finset (Λ' K Γ Λ σ) :=
S.biUnion fun l ↦ insert (normal l) (trStmts₁ (M l))
open scoped Classical in
theorem tr_supports {S} (ss : TM2.Supports M S) : TM1.Supports (tr M) (trSupp M S) :=
⟨Finset.mem_biUnion.2 ⟨_, ss.1, Finset.mem_insert.2 <| Or.inl rfl⟩, fun l' h ↦ by
suffices ∀ (q) (_ : TM2.SupportsStmt S q) (_ : ∀ x ∈ trStmts₁ q, x ∈ trSupp M S),
TM1.SupportsStmt (trSupp M S) (trNormal q) ∧
∀ l' ∈ trStmts₁ q, TM1.SupportsStmt (trSupp M S) (tr M l') by
rcases Finset.mem_biUnion.1 h with ⟨l, lS, h⟩
have :=
this _ (ss.2 l lS) fun x hx ↦ Finset.mem_biUnion.2 ⟨_, lS, Finset.mem_insert_of_mem hx⟩
rcases Finset.mem_insert.1 h with (rfl | h) <;> [exact this.1; exact this.2 _ h]
clear h l'
refine stmtStRec ?_ ?_ ?_ ?_ ?_
· intro _ s _ IH ss' sub -- stack op
rw [TM2to1.supports_run] at ss'
simp only [TM2to1.trStmts₁_run, Finset.mem_union, Finset.mem_insert, Finset.mem_singleton]
at sub
have hgo := sub _ (Or.inl <| Or.inl rfl)
have hret := sub _ (Or.inl <| Or.inr rfl)
obtain ⟨IH₁, IH₂⟩ := IH ss' fun x hx ↦ sub x <| Or.inr hx
refine ⟨by simp only [trNormal_run, TM1.SupportsStmt]; intros; exact hgo, fun l h ↦ ?_⟩
rw [trStmts₁_run] at h
simp only [TM2to1.trStmts₁_run, Finset.mem_union, Finset.mem_insert, Finset.mem_singleton]
at h
rcases h with (⟨rfl | rfl⟩ | h)
· cases s
· exact ⟨fun _ _ ↦ hret, fun _ _ ↦ hgo⟩
· exact ⟨fun _ _ ↦ hret, fun _ _ ↦ hgo⟩
· exact ⟨⟨fun _ _ ↦ hret, fun _ _ ↦ hret⟩, fun _ _ ↦ hgo⟩
· unfold TM1.SupportsStmt TM2to1.tr
exact ⟨IH₁, fun _ _ ↦ hret⟩
· exact IH₂ _ h
· intro _ _ IH ss' sub -- load
unfold TM2to1.trStmts₁ at sub ⊢
exact IH ss' sub
· intro _ _ _ IH₁ IH₂ ss' sub -- branch
unfold TM2to1.trStmts₁ at sub
obtain ⟨IH₁₁, IH₁₂⟩ := IH₁ ss'.1 fun x hx ↦ sub x <| Finset.mem_union_left _ hx
obtain ⟨IH₂₁, IH₂₂⟩ := IH₂ ss'.2 fun x hx ↦ sub x <| Finset.mem_union_right _ hx
refine ⟨⟨IH₁₁, IH₂₁⟩, fun l h ↦ ?_⟩
rw [trStmts₁] at h
rcases Finset.mem_union.1 h with (h | h) <;> [exact IH₁₂ _ h; exact IH₂₂ _ h]
· intro _ ss' _ -- goto
simp only [trStmts₁, Finset.not_mem_empty]; refine ⟨?_, fun _ ↦ False.elim⟩
exact fun _ v ↦ Finset.mem_biUnion.2 ⟨_, ss' v, Finset.mem_insert_self _ _⟩
· intro _ _ -- halt
simp only [trStmts₁, Finset.not_mem_empty]
exact ⟨trivial, fun _ ↦ False.elim⟩⟩
end
end TM2to1
end Turing
| Mathlib/Computability/TuringMachine.lean | 865 | 869 | |
/-
Copyright (c) 2016 Jeremy Avigad. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Jeremy Avigad, Leonardo de Moura, Mario Carneiro
-/
import Mathlib.Algebra.Order.Monoid.Canonical.Defs
import Mathlib.Algebra.Order.Ring.Defs
import Mathlib.Algebra.Order.Sub.Basic
import Mathlib.Algebra.Ring.Parity
/-!
# Canonically ordered rings and semirings.
-/
open Function
universe u
variable {R : Type u}
set_option linter.deprecated false in
/-- A canonically ordered commutative semiring is an ordered, commutative semiring in which `a ≤ b`
iff there exists `c` with `b = a + c`. This is satisfied by the natural numbers, for example, but
not the integers or other ordered groups. -/
@[deprecated "Use `[OrderedCommSemiring R] [CanonicallyOrderedAdd R] [NoZeroDivisors R]` instead."
(since := "2025-01-13")]
structure CanonicallyOrderedCommSemiring (R : Type*) extends CanonicallyOrderedAddCommMonoid R,
CommSemiring R where
/-- No zero divisors. -/
protected eq_zero_or_eq_zero_of_mul_eq_zero : ∀ {a b : R}, a * b = 0 → a = 0 ∨ b = 0
attribute [nolint docBlame] CanonicallyOrderedCommSemiring.toCommSemiring
-- see Note [lower instance priority]
instance (priority := 10) CanonicallyOrderedAdd.toZeroLEOneClass
[AddZeroClass R] [One R] [LE R] [CanonicallyOrderedAdd R] : ZeroLEOneClass R where
zero_le_one := zero_le _
-- this holds more generally if we refactor `Odd` to use
-- either `2 • t` or `t + t` instead of `2 * t`.
lemma Odd.pos [Semiring R] [PartialOrder R] [CanonicallyOrderedAdd R] [Nontrivial R] {a : R} :
Odd a → 0 < a := by
rintro ⟨k, rfl⟩; simp
namespace CanonicallyOrderedAdd
-- see Note [lower instance priority]
instance (priority := 100) toMulLeftMono [NonUnitalNonAssocSemiring R]
[LE R] [CanonicallyOrderedAdd R] : MulLeftMono R := by
refine ⟨fun a b c h => ?_⟩; dsimp
rcases exists_add_of_le h with ⟨c, rfl⟩
rw [mul_add]
apply self_le_add_right
variable [CommSemiring R] [PartialOrder R] [CanonicallyOrderedAdd R]
-- TODO: make it an instance
lemma toIsOrderedMonoid : IsOrderedMonoid R where
mul_le_mul_left _ _ := mul_le_mul_left'
-- TODO: make it an instance
lemma toIsOrderedRing : IsOrderedRing R where
zero_le_one := zero_le _
add_le_add_left _ _ := add_le_add_left
mul_le_mul_of_nonneg_left _ _ _ h _ := mul_le_mul_left' h _
mul_le_mul_of_nonneg_right _ _ _ h _ := mul_le_mul_right' h _
@[simp]
protected theorem mul_pos [NoZeroDivisors R] {a b : R} :
0 < a * b ↔ 0 < a ∧ 0 < b := by
simp only [pos_iff_ne_zero, ne_eq, mul_eq_zero, not_or]
lemma pow_pos [NoZeroDivisors R] {a : R} (ha : 0 < a) (n : ℕ) : 0 < a ^ n :=
pos_iff_ne_zero.2 <| pow_ne_zero _ ha.ne'
protected lemma mul_lt_mul_of_lt_of_lt
[PosMulStrictMono R] {a b c d : R} (hab : a < b) (hcd : c < d) :
| a * c < b * d := by
-- TODO: This should be an instance but it currently times out
| Mathlib/Algebra/Order/Ring/Canonical.lean | 79 | 80 |
/-
Copyright (c) 2021 Eric Wieser. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Eric Wieser
-/
import Mathlib.Algebra.Group.Subgroup.Finite
import Mathlib.GroupTheory.GroupAction.Quotient
import Mathlib.GroupTheory.Perm.Basic
import Mathlib.LinearAlgebra.Alternating.Basic
import Mathlib.LinearAlgebra.Multilinear.TensorProduct
/-!
# Exterior product of alternating maps
In this file we define `AlternatingMap.domCoprod`
to be the exterior product of two alternating maps,
taking values in the tensor product of the codomains of the original maps.
-/
suppress_compilation
open TensorProduct
variable {ιa ιb : Type*} [Fintype ιa] [Fintype ιb]
variable {R' : Type*} {Mᵢ N₁ N₂ : Type*} [CommSemiring R'] [AddCommGroup N₁] [Module R' N₁]
[AddCommGroup N₂] [Module R' N₂] [AddCommMonoid Mᵢ] [Module R' Mᵢ]
namespace Equiv.Perm
/-- Elements which are considered equivalent if they differ only by swaps within α or β -/
abbrev ModSumCongr (α β : Type*) :=
_ ⧸ (Equiv.Perm.sumCongrHom α β).range
end Equiv.Perm
namespace AlternatingMap
open Equiv
variable [DecidableEq ιa] [DecidableEq ιb]
/-- summand used in `AlternatingMap.domCoprod` -/
def domCoprod.summand (a : Mᵢ [⋀^ιa]→ₗ[R'] N₁) (b : Mᵢ [⋀^ιb]→ₗ[R'] N₂)
(σ : Perm.ModSumCongr ιa ιb) : MultilinearMap R' (fun _ : ιa ⊕ ιb => Mᵢ) (N₁ ⊗[R'] N₂) :=
Quotient.liftOn' σ
(fun σ =>
Equiv.Perm.sign σ •
(MultilinearMap.domCoprod ↑a ↑b : MultilinearMap R' (fun _ => Mᵢ) (N₁ ⊗ N₂)).domDomCongr σ)
fun σ₁ σ₂ H => by
rw [QuotientGroup.leftRel_apply] at H
obtain ⟨⟨sl, sr⟩, h⟩ := H
ext v
simp only [MultilinearMap.domDomCongr_apply, MultilinearMap.domCoprod_apply,
coe_multilinearMap, MultilinearMap.smul_apply]
replace h := inv_mul_eq_iff_eq_mul.mp h.symm
have : Equiv.Perm.sign (σ₁ * Perm.sumCongrHom _ _ (sl, sr))
= Equiv.Perm.sign σ₁ * (Equiv.Perm.sign sl * Equiv.Perm.sign sr) := by simp
rw [h, this, mul_smul, mul_smul, smul_left_cancel_iff, ← TensorProduct.tmul_smul,
TensorProduct.smul_tmul', a.map_congr_perm _ sl, b.map_congr_perm _ sr]
simp only [Sum.map_inr, Perm.sumCongrHom_apply, Perm.sumCongr_apply, Sum.map_inl,
Function.comp_def, Perm.coe_mul]
theorem domCoprod.summand_mk'' (a : Mᵢ [⋀^ιa]→ₗ[R'] N₁) (b : Mᵢ [⋀^ιb]→ₗ[R'] N₂)
(σ : Equiv.Perm (ιa ⊕ ιb)) :
domCoprod.summand a b (Quotient.mk'' σ) =
Equiv.Perm.sign σ •
(MultilinearMap.domCoprod ↑a ↑b : MultilinearMap R' (fun _ => Mᵢ) (N₁ ⊗ N₂)).domDomCongr
σ :=
rfl
/-- Swapping elements in `σ` with equal values in `v` results in an addition that cancels -/
theorem domCoprod.summand_add_swap_smul_eq_zero (a : Mᵢ [⋀^ιa]→ₗ[R'] N₁)
(b : Mᵢ [⋀^ιb]→ₗ[R'] N₂) (σ : Perm.ModSumCongr ιa ιb) {v : ιa ⊕ ιb → Mᵢ}
{i j : ιa ⊕ ιb} (hv : v i = v j) (hij : i ≠ j) :
domCoprod.summand a b σ v + domCoprod.summand a b (swap i j • σ) v = 0 := by
refine Quotient.inductionOn' σ fun σ => ?_
dsimp only [Quotient.liftOn'_mk'', Quotient.map'_mk'', MulAction.Quotient.smul_mk,
domCoprod.summand]
rw [smul_eq_mul, Perm.sign_mul, Perm.sign_swap hij]
simp only [one_mul, neg_mul, Function.comp_apply, Units.neg_smul, Perm.coe_mul, Units.val_neg,
MultilinearMap.smul_apply, MultilinearMap.neg_apply, MultilinearMap.domDomCongr_apply,
MultilinearMap.domCoprod_apply]
convert add_neg_cancel (G := N₁ ⊗[R'] N₂) _ using 6 <;>
· ext k
rw [Equiv.apply_swap_eq_self hv]
/-- Swapping elements in `σ` with equal values in `v` result in zero if the swap has no effect
on the quotient. -/
theorem domCoprod.summand_eq_zero_of_smul_invariant (a : Mᵢ [⋀^ιa]→ₗ[R'] N₁)
(b : Mᵢ [⋀^ιb]→ₗ[R'] N₂) (σ : Perm.ModSumCongr ιa ιb) {v : ιa ⊕ ιb → Mᵢ}
{i j : ιa ⊕ ιb} (hv : v i = v j) (hij : i ≠ j) :
swap i j • σ = σ → domCoprod.summand a b σ v = 0 := by
refine Quotient.inductionOn' σ fun σ => ?_
dsimp only [Quotient.liftOn'_mk'', Quotient.map'_mk'', MultilinearMap.smul_apply,
MultilinearMap.domDomCongr_apply, MultilinearMap.domCoprod_apply, domCoprod.summand]
intro hσ
obtain ⟨⟨sl, sr⟩, hσ⟩ := QuotientGroup.leftRel_apply.mp (Quotient.exact' hσ)
rcases hi : σ⁻¹ i with i' | i' <;> rcases hj : σ⁻¹ j with j' | j' <;>
rw [Perm.inv_eq_iff_eq] at hi hj <;> substs hi hj
-- the term pairs with and cancels another term
case inl.inr => simpa using Equiv.congr_fun hσ (Sum.inl i')
case inr.inl => simpa using Equiv.congr_fun hσ (Sum.inr i')
-- the term does not pair but is zero
case inl.inl =>
suffices (a fun i ↦ v (σ (Sum.inl i))) = 0 by simp_all
exact AlternatingMap.map_eq_zero_of_eq _ _ hv fun hij' => hij (hij' ▸ rfl)
case inr.inr =>
suffices (b fun i ↦ v (σ (Sum.inr i))) = 0 by simp_all
exact b.map_eq_zero_of_eq _ hv fun hij' => hij (hij' ▸ rfl)
/-- Like `MultilinearMap.domCoprod`, but ensures the result is also alternating.
Note that this is usually defined (for instance, as used in Proposition 22.24 in [Gallier2011Notes])
over integer indices `ιa = Fin n` and `ιb = Fin m`, as
$$
(f \wedge g)(u_1, \ldots, u_{m+n}) =
\sum_{\operatorname{shuffle}(m, n)} \operatorname{sign}(\sigma)
f(u_{\sigma(1)}, \ldots, u_{\sigma(m)}) g(u_{\sigma(m+1)}, \ldots, u_{\sigma(m+n)}),
$$
where $\operatorname{shuffle}(m, n)$ consists of all permutations of $[1, m+n]$ such that
$\sigma(1) < \cdots < \sigma(m)$ and $\sigma(m+1) < \cdots < \sigma(m+n)$.
Here, we generalize this by replacing:
* the product in the sum with a tensor product
* the filtering of $[1, m+n]$ to shuffles with an isomorphic quotient
* the additions in the subscripts of $\sigma$ with an index of type `Sum`
The specialized version can be obtained by combining this definition with `finSumFinEquiv` and
`LinearMap.mul'`.
-/
@[simps]
def domCoprod (a : Mᵢ [⋀^ιa]→ₗ[R'] N₁) (b : Mᵢ [⋀^ιb]→ₗ[R'] N₂) :
Mᵢ [⋀^ιa ⊕ ιb]→ₗ[R'] (N₁ ⊗[R'] N₂) :=
{ ∑ σ : Perm.ModSumCongr ιa ιb, domCoprod.summand a b σ with
toFun := fun v => (⇑(∑ σ : Perm.ModSumCongr ιa ιb, domCoprod.summand a b σ)) v
map_eq_zero_of_eq' := fun v i j hv hij => by
rw [MultilinearMap.sum_apply]
exact
Finset.sum_involution (fun σ _ => Equiv.swap i j • σ)
(fun σ _ => domCoprod.summand_add_swap_smul_eq_zero a b σ hv hij)
(fun σ _ => mt <| domCoprod.summand_eq_zero_of_smul_invariant a b σ hv hij)
(fun σ _ => Finset.mem_univ _) fun σ _ =>
Equiv.swap_smul_involutive i j σ }
theorem domCoprod_coe (a : Mᵢ [⋀^ιa]→ₗ[R'] N₁) (b : Mᵢ [⋀^ιb]→ₗ[R'] N₂) :
(↑(a.domCoprod b) : MultilinearMap R' (fun _ => Mᵢ) _) =
∑ σ : Perm.ModSumCongr ιa ιb, domCoprod.summand a b σ :=
MultilinearMap.ext fun _ => rfl
/-- A more bundled version of `AlternatingMap.domCoprod` that maps
`((ι₁ → N) → N₁) ⊗ ((ι₂ → N) → N₂)` to `(ι₁ ⊕ ι₂ → N) → N₁ ⊗ N₂`. -/
def domCoprod' :
(Mᵢ [⋀^ιa]→ₗ[R'] N₁) ⊗[R'] (Mᵢ [⋀^ιb]→ₗ[R'] N₂) →ₗ[R']
(Mᵢ [⋀^ιa ⊕ ιb]→ₗ[R'] (N₁ ⊗[R'] N₂)) :=
TensorProduct.lift <| by
refine
LinearMap.mk₂ R' domCoprod (fun m₁ m₂ n => ?_) (fun c m n => ?_) (fun m n₁ n₂ => ?_)
fun c m n => ?_ <;>
· ext
simp only [domCoprod_apply, add_apply, smul_apply, ← Finset.sum_add_distrib,
Finset.smul_sum, MultilinearMap.sum_apply, domCoprod.summand]
congr
ext σ
refine Quotient.inductionOn' σ fun σ => ?_
simp only [Quotient.liftOn'_mk'', coe_add, coe_smul, MultilinearMap.smul_apply,
← MultilinearMap.domCoprod'_apply]
simp only [TensorProduct.add_tmul, ← TensorProduct.smul_tmul', TensorProduct.tmul_add,
TensorProduct.tmul_smul, LinearMap.map_add, LinearMap.map_smul]
first | rw [← smul_add] | rw [smul_comm]
rfl
@[simp]
theorem domCoprod'_apply (a : Mᵢ [⋀^ιa]→ₗ[R'] N₁) (b : Mᵢ [⋀^ιb]→ₗ[R'] N₂) :
domCoprod' (a ⊗ₜ[R'] b) = domCoprod a b :=
rfl
end AlternatingMap
open Equiv
/-- A helper lemma for `MultilinearMap.domCoprod_alternization`. -/
theorem MultilinearMap.domCoprod_alternization_coe [DecidableEq ιa] [DecidableEq ιb]
(a : MultilinearMap R' (fun _ : ιa => Mᵢ) N₁) (b : MultilinearMap R' (fun _ : ιb => Mᵢ) N₂) :
MultilinearMap.domCoprod (MultilinearMap.alternatization a)
(MultilinearMap.alternatization b) =
∑ σa : Perm ιa, ∑ σb : Perm ιb,
Equiv.Perm.sign σa • Equiv.Perm.sign σb •
MultilinearMap.domCoprod (a.domDomCongr σa) (b.domDomCongr σb) := by
simp_rw [← MultilinearMap.domCoprod'_apply, MultilinearMap.alternatization_coe]
simp_rw [TensorProduct.sum_tmul, TensorProduct.tmul_sum, _root_.map_sum,
← TensorProduct.smul_tmul', TensorProduct.tmul_smul]
rfl
open AlternatingMap
open Perm in
/-- Computing the `MultilinearMap.alternatization` of the `MultilinearMap.domCoprod` is the same
as computing the `AlternatingMap.domCoprod` of the `MultilinearMap.alternatization`s.
-/
theorem MultilinearMap.domCoprod_alternization [DecidableEq ιa] [DecidableEq ιb]
(a : MultilinearMap R' (fun _ : ιa => Mᵢ) N₁) (b : MultilinearMap R' (fun _ : ιb => Mᵢ) N₂) :
MultilinearMap.alternatization (MultilinearMap.domCoprod a b) =
a.alternatization.domCoprod (MultilinearMap.alternatization b) := by
apply coe_multilinearMap_injective
rw [domCoprod_coe, MultilinearMap.alternatization_coe,
Finset.sum_partition (QuotientGroup.leftRel (Perm.sumCongrHom ιa ιb).range)]
congr 1
ext1 σ
induction σ using Quotient.inductionOn' with
| h σ =>
set f := sumCongrHom ιa ιb
calc
∑ τ ∈ _, sign τ • domDomCongr τ (a.domCoprod b) =
∑ τ ∈ {τ | τ⁻¹ * σ ∈ f.range}, sign τ • domDomCongr τ (a.domCoprod b) := by
simp [QuotientGroup.leftRel_apply, f]
_ = ∑ τ ∈ {τ | τ⁻¹ ∈ f.range}, sign (σ * τ) • domDomCongr (σ * τ) (a.domCoprod b) := by
conv_lhs => rw [← Finset.map_univ_equiv (Equiv.mulLeft σ), Finset.filter_map, Finset.sum_map]
simp [Function.comp_def, -MonoidHom.mem_range]
_ = ∑ τ, sign (σ * f τ) • domDomCongr (σ * f τ) (a.domCoprod b) := by
simp_rw [f, Subgroup.inv_mem_iff, MonoidHom.mem_range, Finset.univ_filter_exists,
Finset.sum_image sumCongrHom_injective.injOn]
_ = ∑ τ : Perm ιa × Perm ιb,
sign σ • (domDomCongrEquiv σ) (sign τ.1 • sign τ.2 •
(domDomCongr τ.1 a).domCoprod (domDomCongr τ.2 b)) := by
simp [f, domDomCongr_mul, domCoprod_domDomCongr_sumCongr, mul_smul]
_ = domCoprod.summand (alternatization a) (alternatization b) (Quotient.mk'' σ) := by
simp [domCoprod.summand_mk'', domCoprod_alternization_coe, ← domDomCongrEquiv_apply,
Finset.smul_sum, ← Finset.sum_product']
/-- Taking the `MultilinearMap.alternatization` of the `MultilinearMap.domCoprod` of two
`AlternatingMap`s gives a scaled version of the `AlternatingMap.coprod` of those maps.
-/
theorem MultilinearMap.domCoprod_alternization_eq [DecidableEq ιa] [DecidableEq ιb]
(a : Mᵢ [⋀^ιa]→ₗ[R'] N₁) (b : Mᵢ [⋀^ιb]→ₗ[R'] N₂) :
MultilinearMap.alternatization
(MultilinearMap.domCoprod a b : MultilinearMap R' (fun _ : ιa ⊕ ιb => Mᵢ) (N₁ ⊗ N₂)) =
((Fintype.card ιa).factorial * (Fintype.card ιb).factorial) • a.domCoprod b := by
rw [MultilinearMap.domCoprod_alternization, coe_alternatization, coe_alternatization, mul_smul,
← AlternatingMap.domCoprod'_apply, ← AlternatingMap.domCoprod'_apply,
← TensorProduct.smul_tmul', TensorProduct.tmul_smul,
LinearMap.map_smul_of_tower AlternatingMap.domCoprod',
LinearMap.map_smul_of_tower AlternatingMap.domCoprod']
| Mathlib/LinearAlgebra/Alternating/DomCoprod.lean | 272 | 281 | |
/-
Copyright (c) 2020 Markus Himmel. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Markus Himmel, Alex Keizer
-/
import Mathlib.Algebra.Group.Nat.Even
import Mathlib.Algebra.NeZero
import Mathlib.Algebra.Ring.Nat
import Mathlib.Data.List.GetD
import Mathlib.Data.Nat.Bits
import Mathlib.Order.Basic
import Mathlib.Tactic.AdaptationNote
import Mathlib.Tactic.Common
/-!
# Bitwise operations on natural numbers
In the first half of this file, we provide theorems for reasoning about natural numbers from their
bitwise properties. In the second half of this file, we show properties of the bitwise operations
`lor`, `land` and `xor`, which are defined in core.
## Main results
* `eq_of_testBit_eq`: two natural numbers are equal if they have equal bits at every position.
* `exists_most_significant_bit`: if `n ≠ 0`, then there is some position `i` that contains the most
significant `1`-bit of `n`.
* `lt_of_testBit`: if `n` and `m` are numbers and `i` is a position such that the `i`-th bit of
of `n` is zero, the `i`-th bit of `m` is one, and all more significant bits are equal, then
`n < m`.
## Future work
There is another way to express bitwise properties of natural number: `digits 2`. The two ways
should be connected.
## Keywords
bitwise, and, or, xor
-/
open Function
namespace Nat
section
variable {f : Bool → Bool → Bool}
@[simp]
lemma bitwise_zero_left (m : Nat) : bitwise f 0 m = if f false true then m else 0 := by
simp [bitwise]
@[simp]
lemma bitwise_zero_right (n : Nat) : bitwise f n 0 = if f true false then n else 0 := by
unfold bitwise
simp only [ite_self, decide_false, Nat.zero_div, ite_true, ite_eq_right_iff]
rintro ⟨⟩
split_ifs <;> rfl
lemma bitwise_zero : bitwise f 0 0 = 0 := by
simp only [bitwise_zero_right, ite_self]
lemma bitwise_of_ne_zero {n m : Nat} (hn : n ≠ 0) (hm : m ≠ 0) :
bitwise f n m = bit (f (bodd n) (bodd m)) (bitwise f (n / 2) (m / 2)) := by
conv_lhs => unfold bitwise
have mod_two_iff_bod x : (x % 2 = 1 : Bool) = bodd x := by
simp only [mod_two_of_bodd, cond]; cases bodd x <;> rfl
simp only [hn, hm, mod_two_iff_bod, ite_false, bit, two_mul, Bool.cond_eq_ite]
theorem binaryRec_of_ne_zero {C : Nat → Sort*} (z : C 0) (f : ∀ b n, C n → C (bit b n)) {n}
(h : n ≠ 0) :
binaryRec z f n = bit_decomp n ▸ f (bodd n) (div2 n) (binaryRec z f (div2 n)) := by
cases n using bitCasesOn with
| h b n =>
rw [binaryRec_eq _ _ (by right; simpa [bit_eq_zero_iff] using h)]
generalize_proofs h; revert h
rw [bodd_bit, div2_bit]
simp
@[simp]
lemma bitwise_bit {f : Bool → Bool → Bool} (h : f false false = false := by rfl) (a m b n) :
bitwise f (bit a m) (bit b n) = bit (f a b) (bitwise f m n) := by
conv_lhs => unfold bitwise
simp only [bit, ite_apply, Bool.cond_eq_ite]
have h4 x : (x + x + 1) / 2 = x := by rw [← two_mul, add_comm]; simp [add_mul_div_left]
cases a <;> cases b <;> simp [h4] <;> split_ifs
<;> simp_all +decide [two_mul]
lemma bit_mod_two_eq_zero_iff (a x) :
bit a x % 2 = 0 ↔ !a := by
simp
lemma bit_mod_two_eq_one_iff (a x) :
bit a x % 2 = 1 ↔ a := by
simp
@[simp]
theorem lor_bit : ∀ a m b n, bit a m ||| bit b n = bit (a || b) (m ||| n) :=
bitwise_bit
|
@[simp]
theorem land_bit : ∀ a m b n, bit a m &&& bit b n = bit (a && b) (m &&& n) :=
bitwise_bit
@[simp]
theorem ldiff_bit : ∀ a m b n, ldiff (bit a m) (bit b n) = bit (a && not b) (ldiff m n) :=
| Mathlib/Data/Nat/Bitwise.lean | 98 | 104 |
/-
Copyright (c) 2021 Kalle Kytölä. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Kalle Kytölä
-/
import Mathlib.Analysis.RCLike.Basic
import Mathlib.Analysis.NormedSpace.OperatorNorm.Basic
import Mathlib.Analysis.NormedSpace.Pointwise
/-!
# Normed spaces over R or C
This file is about results on normed spaces over the fields `ℝ` and `ℂ`.
## Main definitions
None.
## Main theorems
* `ContinuousLinearMap.opNorm_bound_of_ball_bound`: A bound on the norms of values of a linear
map in a ball yields a bound on the operator norm.
## Notes
This file exists mainly to avoid importing `RCLike` in the main normed space theory files.
-/
open Metric
variable {𝕜 : Type*} [RCLike 𝕜] {E : Type*} [NormedAddCommGroup E]
theorem RCLike.norm_coe_norm {z : E} : ‖(‖z‖ : 𝕜)‖ = ‖z‖ := by simp
| variable [NormedSpace 𝕜 E]
| Mathlib/Analysis/NormedSpace/RCLike.lean | 36 | 36 |
/-
Copyright (c) 2022 Anatole Dedecker. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Anatole Dedecker
-/
import Mathlib.Topology.UniformSpace.UniformConvergenceTopology
/-!
# Equicontinuity of a family of functions
Let `X` be a topological space and `α` a `UniformSpace`. A family of functions `F : ι → X → α`
is said to be *equicontinuous at a point `x₀ : X`* when, for any entourage `U` in `α`, there is a
neighborhood `V` of `x₀` such that, for all `x ∈ V`, and *for all `i`*, `F i x` is `U`-close to
`F i x₀`. In other words, one has `∀ U ∈ 𝓤 α, ∀ᶠ x in 𝓝 x₀, ∀ i, (F i x₀, F i x) ∈ U`.
For maps between metric spaces, this corresponds to
`∀ ε > 0, ∃ δ > 0, ∀ x, ∀ i, dist x₀ x < δ → dist (F i x₀) (F i x) < ε`.
`F` is said to be *equicontinuous* if it is equicontinuous at each point.
A closely related concept is that of ***uniform*** *equicontinuity* of a family of functions
`F : ι → β → α` between uniform spaces, which means that, for any entourage `U` in `α`, there is an
entourage `V` in `β` such that, if `x` and `y` are `V`-close, then *for all `i`*, `F i x` and
`F i y` are `U`-close. In other words, one has
`∀ U ∈ 𝓤 α, ∀ᶠ xy in 𝓤 β, ∀ i, (F i xy.1, F i xy.2) ∈ U`.
For maps between metric spaces, this corresponds to
`∀ ε > 0, ∃ δ > 0, ∀ x y, ∀ i, dist x y < δ → dist (F i x₀) (F i x) < ε`.
## Main definitions
* `EquicontinuousAt`: equicontinuity of a family of functions at a point
* `Equicontinuous`: equicontinuity of a family of functions on the whole domain
* `UniformEquicontinuous`: uniform equicontinuity of a family of functions on the whole domain
We also introduce relative versions, namely `EquicontinuousWithinAt`, `EquicontinuousOn` and
`UniformEquicontinuousOn`, akin to `ContinuousWithinAt`, `ContinuousOn` and `UniformContinuousOn`
respectively.
## Main statements
* `equicontinuous_iff_continuous`: equicontinuity can be expressed as a simple continuity
condition between well-chosen function spaces. This is really useful for building up the theory.
* `Equicontinuous.closure`: if a set of functions is equicontinuous, its closure
*for the topology of pointwise convergence* is also equicontinuous.
## Notations
Throughout this file, we use :
- `ι`, `κ` for indexing types
- `X`, `Y`, `Z` for topological spaces
- `α`, `β`, `γ` for uniform spaces
## Implementation details
We choose to express equicontinuity as a properties of indexed families of functions rather
than sets of functions for the following reasons:
- it is really easy to express equicontinuity of `H : Set (X → α)` using our setup: it is just
equicontinuity of the family `(↑) : ↥H → (X → α)`. On the other hand, going the other way around
would require working with the range of the family, which is always annoying because it
introduces useless existentials.
- in most applications, one doesn't work with bare functions but with a more specific hom type
`hom`. Equicontinuity of a set `H : Set hom` would then have to be expressed as equicontinuity
of `coe_fn '' H`, which is super annoying to work with. This is much simpler with families,
because equicontinuity of a family `𝓕 : ι → hom` would simply be expressed as equicontinuity
of `coe_fn ∘ 𝓕`, which doesn't introduce any nasty existentials.
To simplify statements, we do provide abbreviations `Set.EquicontinuousAt`, `Set.Equicontinuous`
and `Set.UniformEquicontinuous` asserting the corresponding fact about the family
`(↑) : ↥H → (X → α)` where `H : Set (X → α)`. Note however that these won't work for sets of hom
types, and in that case one should go back to the family definition rather than using `Set.image`.
## References
* [N. Bourbaki, *General Topology, Chapter X*][bourbaki1966]
## Tags
equicontinuity, uniform convergence, ascoli
-/
section
open UniformSpace Filter Set Uniformity Topology UniformConvergence Function
variable {ι κ X X' Y α α' β β' γ : Type*} [tX : TopologicalSpace X] [tY : TopologicalSpace Y]
[uα : UniformSpace α] [uβ : UniformSpace β] [uγ : UniformSpace γ]
/-- A family `F : ι → X → α` of functions from a topological space to a uniform space is
*equicontinuous at `x₀ : X`* if, for all entourages `U ∈ 𝓤 α`, there is a neighborhood `V` of `x₀`
such that, for all `x ∈ V` and for all `i : ι`, `F i x` is `U`-close to `F i x₀`. -/
def EquicontinuousAt (F : ι → X → α) (x₀ : X) : Prop :=
∀ U ∈ 𝓤 α, ∀ᶠ x in 𝓝 x₀, ∀ i, (F i x₀, F i x) ∈ U
/-- We say that a set `H : Set (X → α)` of functions is equicontinuous at a point if the family
`(↑) : ↥H → (X → α)` is equicontinuous at that point. -/
protected abbrev Set.EquicontinuousAt (H : Set <| X → α) (x₀ : X) : Prop :=
EquicontinuousAt ((↑) : H → X → α) x₀
/-- A family `F : ι → X → α` of functions from a topological space to a uniform space is
*equicontinuous at `x₀ : X` within `S : Set X`* if, for all entourages `U ∈ 𝓤 α`, there is a
neighborhood `V` of `x₀` within `S` such that, for all `x ∈ V` and for all `i : ι`, `F i x` is
`U`-close to `F i x₀`. -/
def EquicontinuousWithinAt (F : ι → X → α) (S : Set X) (x₀ : X) : Prop :=
∀ U ∈ 𝓤 α, ∀ᶠ x in 𝓝[S] x₀, ∀ i, (F i x₀, F i x) ∈ U
/-- We say that a set `H : Set (X → α)` of functions is equicontinuous at a point within a subset
if the family `(↑) : ↥H → (X → α)` is equicontinuous at that point within that same subset. -/
protected abbrev Set.EquicontinuousWithinAt (H : Set <| X → α) (S : Set X) (x₀ : X) : Prop :=
EquicontinuousWithinAt ((↑) : H → X → α) S x₀
/-- A family `F : ι → X → α` of functions from a topological space to a uniform space is
*equicontinuous* on all of `X` if it is equicontinuous at each point of `X`. -/
def Equicontinuous (F : ι → X → α) : Prop :=
∀ x₀, EquicontinuousAt F x₀
/-- We say that a set `H : Set (X → α)` of functions is equicontinuous if the family
`(↑) : ↥H → (X → α)` is equicontinuous. -/
protected abbrev Set.Equicontinuous (H : Set <| X → α) : Prop :=
Equicontinuous ((↑) : H → X → α)
/-- A family `F : ι → X → α` of functions from a topological space to a uniform space is
*equicontinuous on `S : Set X`* if it is equicontinuous *within `S`* at each point of `S`. -/
def EquicontinuousOn (F : ι → X → α) (S : Set X) : Prop :=
∀ x₀ ∈ S, EquicontinuousWithinAt F S x₀
/-- We say that a set `H : Set (X → α)` of functions is equicontinuous on a subset if the family
`(↑) : ↥H → (X → α)` is equicontinuous on that subset. -/
protected abbrev Set.EquicontinuousOn (H : Set <| X → α) (S : Set X) : Prop :=
EquicontinuousOn ((↑) : H → X → α) S
/-- A family `F : ι → β → α` of functions between uniform spaces is *uniformly equicontinuous* if,
for all entourages `U ∈ 𝓤 α`, there is an entourage `V ∈ 𝓤 β` such that, whenever `x` and `y` are
`V`-close, we have that, *for all `i : ι`*, `F i x` is `U`-close to `F i y`. -/
def UniformEquicontinuous (F : ι → β → α) : Prop :=
∀ U ∈ 𝓤 α, ∀ᶠ xy : β × β in 𝓤 β, ∀ i, (F i xy.1, F i xy.2) ∈ U
/-- We say that a set `H : Set (X → α)` of functions is uniformly equicontinuous if the family
`(↑) : ↥H → (X → α)` is uniformly equicontinuous. -/
protected abbrev Set.UniformEquicontinuous (H : Set <| β → α) : Prop :=
UniformEquicontinuous ((↑) : H → β → α)
/-- A family `F : ι → β → α` of functions between uniform spaces is
*uniformly equicontinuous on `S : Set β`* if, for all entourages `U ∈ 𝓤 α`, there is a relative
entourage `V ∈ 𝓤 β ⊓ 𝓟 (S ×ˢ S)` such that, whenever `x` and `y` are `V`-close, we have that,
*for all `i : ι`*, `F i x` is `U`-close to `F i y`. -/
def UniformEquicontinuousOn (F : ι → β → α) (S : Set β) : Prop :=
∀ U ∈ 𝓤 α, ∀ᶠ xy : β × β in 𝓤 β ⊓ 𝓟 (S ×ˢ S), ∀ i, (F i xy.1, F i xy.2) ∈ U
/-- We say that a set `H : Set (X → α)` of functions is uniformly equicontinuous on a subset if the
family `(↑) : ↥H → (X → α)` is uniformly equicontinuous on that subset. -/
protected abbrev Set.UniformEquicontinuousOn (H : Set <| β → α) (S : Set β) : Prop :=
UniformEquicontinuousOn ((↑) : H → β → α) S
lemma EquicontinuousAt.equicontinuousWithinAt {F : ι → X → α} {x₀ : X} (H : EquicontinuousAt F x₀)
(S : Set X) : EquicontinuousWithinAt F S x₀ :=
fun U hU ↦ (H U hU).filter_mono inf_le_left
lemma EquicontinuousWithinAt.mono {F : ι → X → α} {x₀ : X} {S T : Set X}
(H : EquicontinuousWithinAt F T x₀) (hST : S ⊆ T) : EquicontinuousWithinAt F S x₀ :=
fun U hU ↦ (H U hU).filter_mono <| nhdsWithin_mono x₀ hST
@[simp] lemma equicontinuousWithinAt_univ (F : ι → X → α) (x₀ : X) :
EquicontinuousWithinAt F univ x₀ ↔ EquicontinuousAt F x₀ := by
rw [EquicontinuousWithinAt, EquicontinuousAt, nhdsWithin_univ]
lemma equicontinuousAt_restrict_iff (F : ι → X → α) {S : Set X} (x₀ : S) :
EquicontinuousAt (S.restrict ∘ F) x₀ ↔ EquicontinuousWithinAt F S x₀ := by
simp [EquicontinuousWithinAt, EquicontinuousAt,
← eventually_nhds_subtype_iff]
lemma Equicontinuous.equicontinuousOn {F : ι → X → α} (H : Equicontinuous F)
(S : Set X) : EquicontinuousOn F S :=
fun x _ ↦ (H x).equicontinuousWithinAt S
lemma EquicontinuousOn.mono {F : ι → X → α} {S T : Set X}
(H : EquicontinuousOn F T) (hST : S ⊆ T) : EquicontinuousOn F S :=
fun x hx ↦ (H x (hST hx)).mono hST
lemma equicontinuousOn_univ (F : ι → X → α) :
EquicontinuousOn F univ ↔ Equicontinuous F := by
simp [EquicontinuousOn, Equicontinuous]
lemma equicontinuous_restrict_iff (F : ι → X → α) {S : Set X} :
Equicontinuous (S.restrict ∘ F) ↔ EquicontinuousOn F S := by
simp [Equicontinuous, EquicontinuousOn, equicontinuousAt_restrict_iff]
lemma UniformEquicontinuous.uniformEquicontinuousOn {F : ι → β → α} (H : UniformEquicontinuous F)
(S : Set β) : UniformEquicontinuousOn F S :=
fun U hU ↦ (H U hU).filter_mono inf_le_left
lemma UniformEquicontinuousOn.mono {F : ι → β → α} {S T : Set β}
(H : UniformEquicontinuousOn F T) (hST : S ⊆ T) : UniformEquicontinuousOn F S :=
fun U hU ↦ (H U hU).filter_mono <| by gcongr
lemma uniformEquicontinuousOn_univ (F : ι → β → α) :
UniformEquicontinuousOn F univ ↔ UniformEquicontinuous F := by
simp [UniformEquicontinuousOn, UniformEquicontinuous]
lemma uniformEquicontinuous_restrict_iff (F : ι → β → α) {S : Set β} :
UniformEquicontinuous (S.restrict ∘ F) ↔ UniformEquicontinuousOn F S := by
rw [UniformEquicontinuous, UniformEquicontinuousOn]
conv in _ ⊓ _ => rw [← Subtype.range_val (s := S), ← range_prodMap, ← map_comap]
rfl
/-!
### Empty index type
-/
@[simp]
lemma equicontinuousAt_empty [h : IsEmpty ι] (F : ι → X → α) (x₀ : X) :
EquicontinuousAt F x₀ :=
fun _ _ ↦ Eventually.of_forall (fun _ ↦ h.elim)
@[simp]
lemma equicontinuousWithinAt_empty [h : IsEmpty ι] (F : ι → X → α) (S : Set X) (x₀ : X) :
EquicontinuousWithinAt F S x₀ :=
fun _ _ ↦ Eventually.of_forall (fun _ ↦ h.elim)
@[simp]
lemma equicontinuous_empty [IsEmpty ι] (F : ι → X → α) :
Equicontinuous F :=
equicontinuousAt_empty F
@[simp]
lemma equicontinuousOn_empty [IsEmpty ι] (F : ι → X → α) (S : Set X) :
EquicontinuousOn F S :=
fun x₀ _ ↦ equicontinuousWithinAt_empty F S x₀
@[simp]
lemma uniformEquicontinuous_empty [h : IsEmpty ι] (F : ι → β → α) :
UniformEquicontinuous F :=
fun _ _ ↦ Eventually.of_forall (fun _ ↦ h.elim)
@[simp]
lemma uniformEquicontinuousOn_empty [h : IsEmpty ι] (F : ι → β → α) (S : Set β) :
UniformEquicontinuousOn F S :=
fun _ _ ↦ Eventually.of_forall (fun _ ↦ h.elim)
/-!
### Finite index type
-/
theorem equicontinuousAt_finite [Finite ι] {F : ι → X → α} {x₀ : X} :
EquicontinuousAt F x₀ ↔ ∀ i, ContinuousAt (F i) x₀ := by
simp [EquicontinuousAt, ContinuousAt, (nhds_basis_uniformity' (𝓤 α).basis_sets).tendsto_right_iff,
UniformSpace.ball, @forall_swap _ ι]
theorem equicontinuousWithinAt_finite [Finite ι] {F : ι → X → α} {S : Set X} {x₀ : X} :
EquicontinuousWithinAt F S x₀ ↔ ∀ i, ContinuousWithinAt (F i) S x₀ := by
simp [EquicontinuousWithinAt, ContinuousWithinAt,
(nhds_basis_uniformity' (𝓤 α).basis_sets).tendsto_right_iff, UniformSpace.ball,
@forall_swap _ ι]
theorem equicontinuous_finite [Finite ι] {F : ι → X → α} :
Equicontinuous F ↔ ∀ i, Continuous (F i) := by
simp only [Equicontinuous, equicontinuousAt_finite, continuous_iff_continuousAt, @forall_swap ι]
theorem equicontinuousOn_finite [Finite ι] {F : ι → X → α} {S : Set X} :
EquicontinuousOn F S ↔ ∀ i, ContinuousOn (F i) S := by
simp only [EquicontinuousOn, equicontinuousWithinAt_finite, ContinuousOn, @forall_swap ι]
theorem uniformEquicontinuous_finite [Finite ι] {F : ι → β → α} :
UniformEquicontinuous F ↔ ∀ i, UniformContinuous (F i) := by
simp only [UniformEquicontinuous, eventually_all, @forall_swap _ ι]; rfl
theorem uniformEquicontinuousOn_finite [Finite ι] {F : ι → β → α} {S : Set β} :
UniformEquicontinuousOn F S ↔ ∀ i, UniformContinuousOn (F i) S := by
simp only [UniformEquicontinuousOn, eventually_all, @forall_swap _ ι]; rfl
/-!
### Index type with a unique element
-/
theorem equicontinuousAt_unique [Unique ι] {F : ι → X → α} {x : X} :
EquicontinuousAt F x ↔ ContinuousAt (F default) x :=
equicontinuousAt_finite.trans Unique.forall_iff
theorem equicontinuousWithinAt_unique [Unique ι] {F : ι → X → α} {S : Set X} {x : X} :
EquicontinuousWithinAt F S x ↔ ContinuousWithinAt (F default) S x :=
equicontinuousWithinAt_finite.trans Unique.forall_iff
theorem equicontinuous_unique [Unique ι] {F : ι → X → α} :
Equicontinuous F ↔ Continuous (F default) :=
equicontinuous_finite.trans Unique.forall_iff
theorem equicontinuousOn_unique [Unique ι] {F : ι → X → α} {S : Set X} :
EquicontinuousOn F S ↔ ContinuousOn (F default) S :=
equicontinuousOn_finite.trans Unique.forall_iff
theorem uniformEquicontinuous_unique [Unique ι] {F : ι → β → α} :
UniformEquicontinuous F ↔ UniformContinuous (F default) :=
uniformEquicontinuous_finite.trans Unique.forall_iff
theorem uniformEquicontinuousOn_unique [Unique ι] {F : ι → β → α} {S : Set β} :
UniformEquicontinuousOn F S ↔ UniformContinuousOn (F default) S :=
uniformEquicontinuousOn_finite.trans Unique.forall_iff
/-- Reformulation of equicontinuity at `x₀` within a set `S`, comparing two variables near `x₀`
instead of comparing only one with `x₀`. -/
theorem equicontinuousWithinAt_iff_pair {F : ι → X → α} {S : Set X} {x₀ : X} (hx₀ : x₀ ∈ S) :
EquicontinuousWithinAt F S x₀ ↔
∀ U ∈ 𝓤 α, ∃ V ∈ 𝓝[S] x₀, ∀ x ∈ V, ∀ y ∈ V, ∀ i, (F i x, F i y) ∈ U := by
constructor <;> intro H U hU
· rcases comp_symm_mem_uniformity_sets hU with ⟨V, hV, hVsymm, hVU⟩
refine ⟨_, H V hV, fun x hx y hy i => hVU (prodMk_mem_compRel ?_ (hy i))⟩
exact hVsymm.mk_mem_comm.mp (hx i)
· rcases H U hU with ⟨V, hV, hVU⟩
filter_upwards [hV] using fun x hx i => hVU x₀ (mem_of_mem_nhdsWithin hx₀ hV) x hx i
/-- Reformulation of equicontinuity at `x₀` comparing two variables near `x₀` instead of comparing
only one with `x₀`. -/
theorem equicontinuousAt_iff_pair {F : ι → X → α} {x₀ : X} :
EquicontinuousAt F x₀ ↔
∀ U ∈ 𝓤 α, ∃ V ∈ 𝓝 x₀, ∀ x ∈ V, ∀ y ∈ V, ∀ i, (F i x, F i y) ∈ U := by
simp_rw [← equicontinuousWithinAt_univ, equicontinuousWithinAt_iff_pair (mem_univ x₀),
nhdsWithin_univ]
/-- Uniform equicontinuity implies equicontinuity. -/
theorem UniformEquicontinuous.equicontinuous {F : ι → β → α} (h : UniformEquicontinuous F) :
Equicontinuous F := fun x₀ U hU ↦
mem_of_superset (ball_mem_nhds x₀ (h U hU)) fun _ hx i ↦ hx i
/-- Uniform equicontinuity on a subset implies equicontinuity on that subset. -/
theorem UniformEquicontinuousOn.equicontinuousOn {F : ι → β → α} {S : Set β}
(h : UniformEquicontinuousOn F S) :
EquicontinuousOn F S := fun _ hx₀ U hU ↦
mem_of_superset (ball_mem_nhdsWithin hx₀ (h U hU)) fun _ hx i ↦ hx i
/-- Each function of a family equicontinuous at `x₀` is continuous at `x₀`. -/
theorem EquicontinuousAt.continuousAt {F : ι → X → α} {x₀ : X} (h : EquicontinuousAt F x₀) (i : ι) :
ContinuousAt (F i) x₀ :=
(UniformSpace.hasBasis_nhds _).tendsto_right_iff.2 fun U ⟨hU, _⟩ ↦ (h U hU).mono fun _x hx ↦ hx i
/-- Each function of a family equicontinuous at `x₀` within `S` is continuous at `x₀` within `S`. -/
theorem EquicontinuousWithinAt.continuousWithinAt {F : ι → X → α} {S : Set X} {x₀ : X}
(h : EquicontinuousWithinAt F S x₀) (i : ι) :
ContinuousWithinAt (F i) S x₀ :=
(UniformSpace.hasBasis_nhds _).tendsto_right_iff.2 fun U ⟨hU, _⟩ ↦ (h U hU).mono fun _x hx ↦ hx i
protected theorem Set.EquicontinuousAt.continuousAt_of_mem {H : Set <| X → α} {x₀ : X}
(h : H.EquicontinuousAt x₀) {f : X → α} (hf : f ∈ H) : ContinuousAt f x₀ :=
h.continuousAt ⟨f, hf⟩
protected theorem Set.EquicontinuousWithinAt.continuousWithinAt_of_mem {H : Set <| X → α}
{S : Set X} {x₀ : X} (h : H.EquicontinuousWithinAt S x₀) {f : X → α} (hf : f ∈ H) :
ContinuousWithinAt f S x₀ :=
h.continuousWithinAt ⟨f, hf⟩
/-- Each function of an equicontinuous family is continuous. -/
theorem Equicontinuous.continuous {F : ι → X → α} (h : Equicontinuous F) (i : ι) :
Continuous (F i) :=
continuous_iff_continuousAt.mpr fun x => (h x).continuousAt i
/-- Each function of a family equicontinuous on `S` is continuous on `S`. -/
theorem EquicontinuousOn.continuousOn {F : ι → X → α} {S : Set X} (h : EquicontinuousOn F S)
(i : ι) : ContinuousOn (F i) S :=
fun x hx ↦ (h x hx).continuousWithinAt i
protected theorem Set.Equicontinuous.continuous_of_mem {H : Set <| X → α} (h : H.Equicontinuous)
{f : X → α} (hf : f ∈ H) : Continuous f :=
h.continuous ⟨f, hf⟩
protected theorem Set.EquicontinuousOn.continuousOn_of_mem {H : Set <| X → α} {S : Set X}
(h : H.EquicontinuousOn S) {f : X → α} (hf : f ∈ H) : ContinuousOn f S :=
h.continuousOn ⟨f, hf⟩
/-- Each function of a uniformly equicontinuous family is uniformly continuous. -/
theorem UniformEquicontinuous.uniformContinuous {F : ι → β → α} (h : UniformEquicontinuous F)
(i : ι) : UniformContinuous (F i) := fun U hU =>
mem_map.mpr (mem_of_superset (h U hU) fun _ hxy => hxy i)
/-- Each function of a family uniformly equicontinuous on `S` is uniformly continuous on `S`. -/
theorem UniformEquicontinuousOn.uniformContinuousOn {F : ι → β → α} {S : Set β}
(h : UniformEquicontinuousOn F S) (i : ι) :
UniformContinuousOn (F i) S := fun U hU =>
mem_map.mpr (mem_of_superset (h U hU) fun _ hxy => hxy i)
protected theorem Set.UniformEquicontinuous.uniformContinuous_of_mem {H : Set <| β → α}
(h : H.UniformEquicontinuous) {f : β → α} (hf : f ∈ H) : UniformContinuous f :=
h.uniformContinuous ⟨f, hf⟩
protected theorem Set.UniformEquicontinuousOn.uniformContinuousOn_of_mem {H : Set <| β → α}
{S : Set β} (h : H.UniformEquicontinuousOn S) {f : β → α} (hf : f ∈ H) :
UniformContinuousOn f S :=
h.uniformContinuousOn ⟨f, hf⟩
/-- Taking sub-families preserves equicontinuity at a point. -/
theorem EquicontinuousAt.comp {F : ι → X → α} {x₀ : X} (h : EquicontinuousAt F x₀) (u : κ → ι) :
EquicontinuousAt (F ∘ u) x₀ := fun U hU => (h U hU).mono fun _ H k => H (u k)
/-- Taking sub-families preserves equicontinuity at a point within a subset. -/
theorem EquicontinuousWithinAt.comp {F : ι → X → α} {S : Set X} {x₀ : X}
(h : EquicontinuousWithinAt F S x₀) (u : κ → ι) :
EquicontinuousWithinAt (F ∘ u) S x₀ :=
fun U hU ↦ (h U hU).mono fun _ H k => H (u k)
protected theorem Set.EquicontinuousAt.mono {H H' : Set <| X → α} {x₀ : X}
(h : H.EquicontinuousAt x₀) (hH : H' ⊆ H) : H'.EquicontinuousAt x₀ :=
h.comp (inclusion hH)
protected theorem Set.EquicontinuousWithinAt.mono {H H' : Set <| X → α} {S : Set X} {x₀ : X}
(h : H.EquicontinuousWithinAt S x₀) (hH : H' ⊆ H) : H'.EquicontinuousWithinAt S x₀ :=
h.comp (inclusion hH)
/-- Taking sub-families preserves equicontinuity. -/
theorem Equicontinuous.comp {F : ι → X → α} (h : Equicontinuous F) (u : κ → ι) :
Equicontinuous (F ∘ u) := fun x => (h x).comp u
/-- Taking sub-families preserves equicontinuity on a subset. -/
theorem EquicontinuousOn.comp {F : ι → X → α} {S : Set X} (h : EquicontinuousOn F S) (u : κ → ι) :
EquicontinuousOn (F ∘ u) S := fun x hx ↦ (h x hx).comp u
protected theorem Set.Equicontinuous.mono {H H' : Set <| X → α} (h : H.Equicontinuous)
(hH : H' ⊆ H) : H'.Equicontinuous :=
h.comp (inclusion hH)
protected theorem Set.EquicontinuousOn.mono {H H' : Set <| X → α} {S : Set X}
(h : H.EquicontinuousOn S) (hH : H' ⊆ H) : H'.EquicontinuousOn S :=
h.comp (inclusion hH)
/-- Taking sub-families preserves uniform equicontinuity. -/
theorem UniformEquicontinuous.comp {F : ι → β → α} (h : UniformEquicontinuous F) (u : κ → ι) :
UniformEquicontinuous (F ∘ u) := fun U hU => (h U hU).mono fun _ H k => H (u k)
/-- Taking sub-families preserves uniform equicontinuity on a subset. -/
theorem UniformEquicontinuousOn.comp {F : ι → β → α} {S : Set β} (h : UniformEquicontinuousOn F S)
(u : κ → ι) : UniformEquicontinuousOn (F ∘ u) S :=
fun U hU ↦ (h U hU).mono fun _ H k => H (u k)
protected theorem Set.UniformEquicontinuous.mono {H H' : Set <| β → α} (h : H.UniformEquicontinuous)
(hH : H' ⊆ H) : H'.UniformEquicontinuous :=
h.comp (inclusion hH)
protected theorem Set.UniformEquicontinuousOn.mono {H H' : Set <| β → α} {S : Set β}
(h : H.UniformEquicontinuousOn S) (hH : H' ⊆ H) : H'.UniformEquicontinuousOn S :=
h.comp (inclusion hH)
/-- A family `𝓕 : ι → X → α` is equicontinuous at `x₀` iff `range 𝓕` is equicontinuous at `x₀`,
i.e the family `(↑) : range F → X → α` is equicontinuous at `x₀`. -/
theorem equicontinuousAt_iff_range {F : ι → X → α} {x₀ : X} :
EquicontinuousAt F x₀ ↔ EquicontinuousAt ((↑) : range F → X → α) x₀ := by
simp only [EquicontinuousAt, forall_subtype_range_iff]
/-- A family `𝓕 : ι → X → α` is equicontinuous at `x₀` within `S` iff `range 𝓕` is equicontinuous
at `x₀` within `S`, i.e the family `(↑) : range F → X → α` is equicontinuous at `x₀` within `S`. -/
theorem equicontinuousWithinAt_iff_range {F : ι → X → α} {S : Set X} {x₀ : X} :
EquicontinuousWithinAt F S x₀ ↔ EquicontinuousWithinAt ((↑) : range F → X → α) S x₀ := by
simp only [EquicontinuousWithinAt, forall_subtype_range_iff]
/-- A family `𝓕 : ι → X → α` is equicontinuous iff `range 𝓕` is equicontinuous,
i.e the family `(↑) : range F → X → α` is equicontinuous. -/
theorem equicontinuous_iff_range {F : ι → X → α} :
Equicontinuous F ↔ Equicontinuous ((↑) : range F → X → α) :=
forall_congr' fun _ => equicontinuousAt_iff_range
/-- A family `𝓕 : ι → X → α` is equicontinuous on `S` iff `range 𝓕` is equicontinuous on `S`,
i.e the family `(↑) : range F → X → α` is equicontinuous on `S`. -/
theorem equicontinuousOn_iff_range {F : ι → X → α} {S : Set X} :
EquicontinuousOn F S ↔ EquicontinuousOn ((↑) : range F → X → α) S :=
forall_congr' fun _ ↦ forall_congr' fun _ ↦ equicontinuousWithinAt_iff_range
/-- A family `𝓕 : ι → β → α` is uniformly equicontinuous iff `range 𝓕` is uniformly equicontinuous,
i.e the family `(↑) : range F → β → α` is uniformly equicontinuous. -/
theorem uniformEquicontinuous_iff_range {F : ι → β → α} :
UniformEquicontinuous F ↔ UniformEquicontinuous ((↑) : range F → β → α) :=
⟨fun h => by rw [← comp_rangeSplitting F]; exact h.comp _, fun h =>
h.comp (rangeFactorization F)⟩
/-- A family `𝓕 : ι → β → α` is uniformly equicontinuous on `S` iff `range 𝓕` is uniformly
equicontinuous on `S`, i.e the family `(↑) : range F → β → α` is uniformly equicontinuous on `S`. -/
theorem uniformEquicontinuousOn_iff_range {F : ι → β → α} {S : Set β} :
UniformEquicontinuousOn F S ↔ UniformEquicontinuousOn ((↑) : range F → β → α) S :=
⟨fun h => by rw [← comp_rangeSplitting F]; exact h.comp _, fun h =>
h.comp (rangeFactorization F)⟩
section
open UniformFun
/-- A family `𝓕 : ι → X → α` is equicontinuous at `x₀` iff the function `swap 𝓕 : X → ι → α` is
continuous at `x₀` *when `ι → α` is equipped with the topology of uniform convergence*. This is
very useful for developing the equicontinuity API, but it should not be used directly for other
purposes. -/
theorem equicontinuousAt_iff_continuousAt {F : ι → X → α} {x₀ : X} :
EquicontinuousAt F x₀ ↔ ContinuousAt (ofFun ∘ Function.swap F : X → ι →ᵤ α) x₀ := by
rw [ContinuousAt, (UniformFun.hasBasis_nhds ι α _).tendsto_right_iff]
rfl
/-- A family `𝓕 : ι → X → α` is equicontinuous at `x₀` within `S` iff the function
`swap 𝓕 : X → ι → α` is continuous at `x₀` within `S`
*when `ι → α` is equipped with the topology of uniform convergence*. This is very useful for
developing the equicontinuity API, but it should not be used directly for other purposes. -/
theorem equicontinuousWithinAt_iff_continuousWithinAt {F : ι → X → α} {S : Set X} {x₀ : X} :
EquicontinuousWithinAt F S x₀ ↔
ContinuousWithinAt (ofFun ∘ Function.swap F : X → ι →ᵤ α) S x₀ := by
rw [ContinuousWithinAt, (UniformFun.hasBasis_nhds ι α _).tendsto_right_iff]
rfl
/-- A family `𝓕 : ι → X → α` is equicontinuous iff the function `swap 𝓕 : X → ι → α` is
continuous *when `ι → α` is equipped with the topology of uniform convergence*. This is
very useful for developing the equicontinuity API, but it should not be used directly for other
purposes. -/
theorem equicontinuous_iff_continuous {F : ι → X → α} :
Equicontinuous F ↔ Continuous (ofFun ∘ Function.swap F : X → ι →ᵤ α) := by
simp_rw [Equicontinuous, continuous_iff_continuousAt, equicontinuousAt_iff_continuousAt]
/-- A family `𝓕 : ι → X → α` is equicontinuous on `S` iff the function `swap 𝓕 : X → ι → α` is
continuous on `S` *when `ι → α` is equipped with the topology of uniform convergence*. This is
very useful for developing the equicontinuity API, but it should not be used directly for other
purposes. -/
theorem equicontinuousOn_iff_continuousOn {F : ι → X → α} {S : Set X} :
EquicontinuousOn F S ↔ ContinuousOn (ofFun ∘ Function.swap F : X → ι →ᵤ α) S := by
simp_rw [EquicontinuousOn, ContinuousOn, equicontinuousWithinAt_iff_continuousWithinAt]
/-- A family `𝓕 : ι → β → α` is uniformly equicontinuous iff the function `swap 𝓕 : β → ι → α` is
uniformly continuous *when `ι → α` is equipped with the uniform structure of uniform convergence*.
This is very useful for developing the equicontinuity API, but it should not be used directly
for other purposes. -/
theorem uniformEquicontinuous_iff_uniformContinuous {F : ι → β → α} :
UniformEquicontinuous F ↔ UniformContinuous (ofFun ∘ Function.swap F : β → ι →ᵤ α) := by
rw [UniformContinuous, (UniformFun.hasBasis_uniformity ι α).tendsto_right_iff]
rfl
/-- A family `𝓕 : ι → β → α` is uniformly equicontinuous on `S` iff the function
`swap 𝓕 : β → ι → α` is uniformly continuous on `S`
*when `ι → α` is equipped with the uniform structure of uniform convergence*. This is very useful
for developing the equicontinuity API, but it should not be used directly for other purposes. -/
theorem uniformEquicontinuousOn_iff_uniformContinuousOn {F : ι → β → α} {S : Set β} :
UniformEquicontinuousOn F S ↔ UniformContinuousOn (ofFun ∘ Function.swap F : β → ι →ᵤ α) S := by
rw [UniformContinuousOn, (UniformFun.hasBasis_uniformity ι α).tendsto_right_iff]
rfl
theorem equicontinuousWithinAt_iInf_rng {u : κ → UniformSpace α'} {F : ι → X → α'}
{S : Set X} {x₀ : X} : EquicontinuousWithinAt (uα := ⨅ k, u k) F S x₀ ↔
∀ k, EquicontinuousWithinAt (uα := u k) F S x₀ := by
simp only [equicontinuousWithinAt_iff_continuousWithinAt (uα := _), topologicalSpace]
unfold ContinuousWithinAt
rw [UniformFun.iInf_eq, toTopologicalSpace_iInf, nhds_iInf, tendsto_iInf]
theorem equicontinuousAt_iInf_rng {u : κ → UniformSpace α'} {F : ι → X → α'}
{x₀ : X} :
EquicontinuousAt (uα := ⨅ k, u k) F x₀ ↔ ∀ k, EquicontinuousAt (uα := u k) F x₀ := by
simp only [← equicontinuousWithinAt_univ (uα := _), equicontinuousWithinAt_iInf_rng]
theorem equicontinuous_iInf_rng {u : κ → UniformSpace α'} {F : ι → X → α'} :
Equicontinuous (uα := ⨅ k, u k) F ↔ ∀ k, Equicontinuous (uα := u k) F := by
simp_rw [equicontinuous_iff_continuous (uα := _), UniformFun.topologicalSpace]
rw [UniformFun.iInf_eq, toTopologicalSpace_iInf, continuous_iInf_rng]
theorem equicontinuousOn_iInf_rng {u : κ → UniformSpace α'} {F : ι → X → α'}
{S : Set X} :
EquicontinuousOn (uα := ⨅ k, u k) F S ↔ ∀ k, EquicontinuousOn (uα := u k) F S := by
simp_rw [EquicontinuousOn, equicontinuousWithinAt_iInf_rng, @forall_swap _ κ]
theorem uniformEquicontinuous_iInf_rng {u : κ → UniformSpace α'} {F : ι → β → α'} :
UniformEquicontinuous (uα := ⨅ k, u k) F ↔ ∀ k, UniformEquicontinuous (uα := u k) F := by
simp_rw [uniformEquicontinuous_iff_uniformContinuous (uα := _)]
rw [UniformFun.iInf_eq, uniformContinuous_iInf_rng]
theorem uniformEquicontinuousOn_iInf_rng {u : κ → UniformSpace α'} {F : ι → β → α'}
{S : Set β} : UniformEquicontinuousOn (uα := ⨅ k, u k) F S ↔
∀ k, UniformEquicontinuousOn (uα := u k) F S := by
simp_rw [uniformEquicontinuousOn_iff_uniformContinuousOn (uα := _)]
unfold UniformContinuousOn
rw [UniformFun.iInf_eq, iInf_uniformity, tendsto_iInf]
theorem equicontinuousWithinAt_iInf_dom {t : κ → TopologicalSpace X'} {F : ι → X' → α}
{S : Set X'} {x₀ : X'} {k : κ} (hk : EquicontinuousWithinAt (tX := t k) F S x₀) :
EquicontinuousWithinAt (tX := ⨅ k, t k) F S x₀ := by
simp only [equicontinuousWithinAt_iff_continuousWithinAt (tX := _)] at hk ⊢
unfold ContinuousWithinAt nhdsWithin at hk ⊢
rw [nhds_iInf]
exact hk.mono_left <| inf_le_inf_right _ <| iInf_le _ k
theorem equicontinuousAt_iInf_dom {t : κ → TopologicalSpace X'} {F : ι → X' → α}
{x₀ : X'} {k : κ} (hk : EquicontinuousAt (tX := t k) F x₀) :
EquicontinuousAt (tX := ⨅ k, t k) F x₀ := by
rw [← equicontinuousWithinAt_univ (tX := _)] at hk ⊢
exact equicontinuousWithinAt_iInf_dom hk
theorem equicontinuous_iInf_dom {t : κ → TopologicalSpace X'} {F : ι → X' → α}
{k : κ} (hk : Equicontinuous (tX := t k) F) :
| Equicontinuous (tX := ⨅ k, t k) F :=
fun x ↦ equicontinuousAt_iInf_dom (hk x)
theorem equicontinuousOn_iInf_dom {t : κ → TopologicalSpace X'} {F : ι → X' → α}
| Mathlib/Topology/UniformSpace/Equicontinuity.lean | 583 | 586 |
/-
Copyright (c) 2023 Joël Riou. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Joël Riou
-/
import Mathlib.CategoryTheory.Localization.Opposite
/-!
# Calculus of fractions
Following the definitions by [Gabriel and Zisman][gabriel-zisman-1967],
given a morphism property `W : MorphismProperty C` on a category `C`,
we introduce the class `W.HasLeftCalculusOfFractions`. The main
result `Localization.exists_leftFraction` is that if `L : C ⥤ D`
is a localization functor for `W`, then for any morphism `L.obj X ⟶ L.obj Y` in `D`,
there exists an auxiliary object `Y' : C` and morphisms `g : X ⟶ Y'` and `s : Y ⟶ Y'`,
with `W s`, such that the given morphism is a sort of fraction `g / s`,
or more precisely of the form `L.map g ≫ (Localization.isoOfHom L W s hs).inv`.
We also show that the functor `L.mapArrow : Arrow C ⥤ Arrow D` is essentially surjective.
Similar results are obtained when `W` has a right calculus of fractions.
## References
* [P. Gabriel, M. Zisman, *Calculus of fractions and homotopy theory*][gabriel-zisman-1967]
-/
namespace CategoryTheory
variable {C D : Type*} [Category C] [Category D]
open Category
namespace MorphismProperty
/-- A left fraction from `X : C` to `Y : C` for `W : MorphismProperty C` consists of the
datum of an object `Y' : C` and maps `f : X ⟶ Y'` and `s : Y ⟶ Y'` such that `W s`. -/
structure LeftFraction (W : MorphismProperty C) (X Y : C) where
/-- the auxiliary object of a left fraction -/
{Y' : C}
/-- the numerator of a left fraction -/
f : X ⟶ Y'
/-- the denominator of a left fraction -/
s : Y ⟶ Y'
/-- the condition that the denominator belongs to the given morphism property -/
hs : W s
namespace LeftFraction
variable (W : MorphismProperty C) {X Y : C}
/-- The left fraction from `X` to `Y` given by a morphism `f : X ⟶ Y`. -/
@[simps]
def ofHom (f : X ⟶ Y) [W.ContainsIdentities] :
W.LeftFraction X Y := mk f (𝟙 Y) (W.id_mem Y)
variable {W}
/-- The left fraction from `X` to `Y` given by a morphism `s : Y ⟶ X` such that `W s`. -/
@[simps]
def ofInv (s : Y ⟶ X) (hs : W s) :
W.LeftFraction X Y := mk (𝟙 X) s hs
/-- If `φ : W.LeftFraction X Y` and `L` is a functor which inverts `W`, this is the
induced morphism `L.obj X ⟶ L.obj Y` -/
noncomputable def map (φ : W.LeftFraction X Y) (L : C ⥤ D) (hL : W.IsInvertedBy L) :
L.obj X ⟶ L.obj Y :=
have := hL _ φ.hs
L.map φ.f ≫ inv (L.map φ.s)
@[reassoc (attr := simp)]
lemma map_comp_map_s (φ : W.LeftFraction X Y) (L : C ⥤ D) (hL : W.IsInvertedBy L) :
φ.map L hL ≫ L.map φ.s = L.map φ.f := by
letI := hL _ φ.hs
simp [map]
variable (W)
lemma map_ofHom (f : X ⟶ Y) (L : C ⥤ D) (hL : W.IsInvertedBy L) [W.ContainsIdentities] :
(ofHom W f).map L hL = L.map f := by
simp [map]
@[reassoc (attr := simp)]
lemma map_ofInv_hom_id (s : Y ⟶ X) (hs : W s) (L : C ⥤ D) (hL : W.IsInvertedBy L) :
(ofInv s hs).map L hL ≫ L.map s = 𝟙 _ := by
letI := hL _ hs
simp [map]
@[reassoc (attr := simp)]
lemma map_hom_ofInv_id (s : Y ⟶ X) (hs : W s) (L : C ⥤ D) (hL : W.IsInvertedBy L) :
L.map s ≫ (ofInv s hs).map L hL = 𝟙 _ := by
letI := hL _ hs
simp [map]
variable {W}
lemma cases (α : W.LeftFraction X Y) :
∃ (Y' : C) (f : X ⟶ Y') (s : Y ⟶ Y') (hs : W s), α = LeftFraction.mk f s hs :=
⟨_, _, _, _, rfl⟩
end LeftFraction
/-- A right fraction from `X : C` to `Y : C` for `W : MorphismProperty C` consists of the
datum of an object `X' : C` and maps `s : X' ⟶ X` and `f : X' ⟶ Y` such that `W s`. -/
structure RightFraction (W : MorphismProperty C) (X Y : C) where
/-- the auxiliary object of a right fraction -/
{X' : C}
/-- the denominator of a right fraction -/
s : X' ⟶ X
/-- the condition that the denominator belongs to the given morphism property -/
hs : W s
/-- the numerator of a right fraction -/
f : X' ⟶ Y
namespace RightFraction
variable (W : MorphismProperty C)
variable {X Y : C}
/-- The right fraction from `X` to `Y` given by a morphism `f : X ⟶ Y`. -/
@[simps]
def ofHom (f : X ⟶ Y) [W.ContainsIdentities] :
W.RightFraction X Y := mk (𝟙 X) (W.id_mem X) f
variable {W}
/-- The right fraction from `X` to `Y` given by a morphism `s : Y ⟶ X` such that `W s`. -/
@[simps]
def ofInv (s : Y ⟶ X) (hs : W s) :
W.RightFraction X Y := mk s hs (𝟙 Y)
/-- If `φ : W.RightFraction X Y` and `L` is a functor which inverts `W`, this is the
induced morphism `L.obj X ⟶ L.obj Y` -/
noncomputable def map (φ : W.RightFraction X Y) (L : C ⥤ D) (hL : W.IsInvertedBy L) :
L.obj X ⟶ L.obj Y :=
have := hL _ φ.hs
inv (L.map φ.s) ≫ L.map φ.f
@[reassoc (attr := simp)]
lemma map_s_comp_map (φ : W.RightFraction X Y) (L : C ⥤ D) (hL : W.IsInvertedBy L) :
L.map φ.s ≫ φ.map L hL = L.map φ.f := by
letI := hL _ φ.hs
simp [map]
variable (W)
@[simp]
lemma map_ofHom (f : X ⟶ Y) (L : C ⥤ D) (hL : W.IsInvertedBy L) [W.ContainsIdentities] :
(ofHom W f).map L hL = L.map f := by
simp [map]
@[reassoc (attr := simp)]
lemma map_ofInv_hom_id (s : Y ⟶ X) (hs : W s) (L : C ⥤ D) (hL : W.IsInvertedBy L) :
(ofInv s hs).map L hL ≫ L.map s = 𝟙 _ := by
letI := hL _ hs
simp [map]
@[reassoc (attr := simp)]
lemma map_hom_ofInv_id (s : Y ⟶ X) (hs : W s) (L : C ⥤ D) (hL : W.IsInvertedBy L) :
L.map s ≫ (ofInv s hs).map L hL = 𝟙 _ := by
letI := hL _ hs
simp [map]
variable {W}
lemma cases (α : W.RightFraction X Y) :
∃ (X' : C) (s : X' ⟶ X) (hs : W s) (f : X' ⟶ Y) , α = RightFraction.mk s hs f :=
⟨_, _, _, _, rfl⟩
end RightFraction
variable (W : MorphismProperty C)
/-- A multiplicative morphism property `W` has left calculus of fractions if
any right fraction can be turned into a left fraction and that two morphisms
that can be equalized by precomposition with a morphism in `W` can also
be equalized by postcomposition with a morphism in `W`. -/
class HasLeftCalculusOfFractions : Prop extends W.IsMultiplicative where
exists_leftFraction ⦃X Y : C⦄ (φ : W.RightFraction X Y) :
∃ (ψ : W.LeftFraction X Y), φ.f ≫ ψ.s = φ.s ≫ ψ.f
ext : ∀ ⦃X' X Y : C⦄ (f₁ f₂ : X ⟶ Y) (s : X' ⟶ X) (_ : W s)
(_ : s ≫ f₁ = s ≫ f₂), ∃ (Y' : C) (t : Y ⟶ Y') (_ : W t), f₁ ≫ t = f₂ ≫ t
/-- A multiplicative morphism property `W` has right calculus of fractions if
any left fraction can be turned into a right fraction and that two morphisms
that can be equalized by postcomposition with a morphism in `W` can also
be equalized by precomposition with a morphism in `W`. -/
class HasRightCalculusOfFractions : Prop extends W.IsMultiplicative where
exists_rightFraction ⦃X Y : C⦄ (φ : W.LeftFraction X Y) :
∃ (ψ : W.RightFraction X Y), ψ.s ≫ φ.f = ψ.f ≫ φ.s
ext : ∀ ⦃X Y Y' : C⦄ (f₁ f₂ : X ⟶ Y) (s : Y ⟶ Y') (_ : W s)
(_ : f₁ ≫ s = f₂ ≫ s), ∃ (X' : C) (t : X' ⟶ X) (_ : W t), t ≫ f₁ = t ≫ f₂
variable {W}
lemma RightFraction.exists_leftFraction [W.HasLeftCalculusOfFractions] {X Y : C}
(φ : W.RightFraction X Y) : ∃ (ψ : W.LeftFraction X Y), φ.f ≫ ψ.s = φ.s ≫ ψ.f :=
HasLeftCalculusOfFractions.exists_leftFraction φ
/-- A choice of a left fraction deduced from a right fraction for a morphism property `W`
when `W` has left calculus of fractions. -/
noncomputable def RightFraction.leftFraction [W.HasLeftCalculusOfFractions] {X Y : C}
(φ : W.RightFraction X Y) : W.LeftFraction X Y :=
φ.exists_leftFraction.choose
@[reassoc]
lemma RightFraction.leftFraction_fac [W.HasLeftCalculusOfFractions] {X Y : C}
(φ : W.RightFraction X Y) : φ.f ≫ φ.leftFraction.s = φ.s ≫ φ.leftFraction.f :=
φ.exists_leftFraction.choose_spec
lemma LeftFraction.exists_rightFraction [W.HasRightCalculusOfFractions] {X Y : C}
(φ : W.LeftFraction X Y) : ∃ (ψ : W.RightFraction X Y), ψ.s ≫ φ.f = ψ.f ≫ φ.s :=
HasRightCalculusOfFractions.exists_rightFraction φ
/-- A choice of a right fraction deduced from a left fraction for a morphism property `W`
when `W` has right calculus of fractions. -/
noncomputable def LeftFraction.rightFraction [W.HasRightCalculusOfFractions] {X Y : C}
(φ : W.LeftFraction X Y) : W.RightFraction X Y :=
φ.exists_rightFraction.choose
@[reassoc]
lemma LeftFraction.rightFraction_fac [W.HasRightCalculusOfFractions] {X Y : C}
(φ : W.LeftFraction X Y) : φ.rightFraction.s ≫ φ.f = φ.rightFraction.f ≫ φ.s :=
φ.exists_rightFraction.choose_spec
/-- The equivalence relation on left fractions for a morphism property `W`. -/
def LeftFractionRel {X Y : C} (z₁ z₂ : W.LeftFraction X Y) : Prop :=
∃ (Z : C) (t₁ : z₁.Y' ⟶ Z) (t₂ : z₂.Y' ⟶ Z) (_ : z₁.s ≫ t₁ = z₂.s ≫ t₂)
(_ : z₁.f ≫ t₁ = z₂.f ≫ t₂), W (z₁.s ≫ t₁)
namespace LeftFractionRel
lemma refl {X Y : C} (z : W.LeftFraction X Y) : LeftFractionRel z z :=
⟨z.Y', 𝟙 _, 𝟙 _, rfl, rfl, by simpa only [Category.comp_id] using z.hs⟩
lemma symm {X Y : C} {z₁ z₂ : W.LeftFraction X Y} (h : LeftFractionRel z₁ z₂) :
LeftFractionRel z₂ z₁ := by
obtain ⟨Z, t₁, t₂, hst, hft, ht⟩ := h
exact ⟨Z, t₂, t₁, hst.symm, hft.symm, by simpa only [← hst] using ht⟩
lemma trans {X Y : C} {z₁ z₂ z₃ : W.LeftFraction X Y}
[HasLeftCalculusOfFractions W]
(h₁₂ : LeftFractionRel z₁ z₂) (h₂₃ : LeftFractionRel z₂ z₃) :
LeftFractionRel z₁ z₃ := by
obtain ⟨Z₄, t₁, t₂, hst, hft, ht⟩ := h₁₂
obtain ⟨Z₅, u₂, u₃, hsu, hfu, hu⟩ := h₂₃
obtain ⟨⟨v₄, v₅, hv₅⟩, fac⟩ := HasLeftCalculusOfFractions.exists_leftFraction
(RightFraction.mk (z₁.s ≫ t₁) ht (z₃.s ≫ u₃))
simp only [Category.assoc] at fac
have eq : z₂.s ≫ u₂ ≫ v₅ = z₂.s ≫ t₂ ≫ v₄ := by
simpa only [← reassoc_of% hsu, reassoc_of% hst] using fac
obtain ⟨Z₇, w, hw, fac'⟩ := HasLeftCalculusOfFractions.ext _ _ _ z₂.hs eq
simp only [Category.assoc] at fac'
refine ⟨Z₇, t₁ ≫ v₄ ≫ w, u₃ ≫ v₅ ≫ w, ?_, ?_, ?_⟩
· rw [reassoc_of% fac]
· rw [reassoc_of% hft, ← fac', reassoc_of% hfu]
· rw [← reassoc_of% fac, ← reassoc_of% hsu, ← Category.assoc]
exact W.comp_mem _ _ hu (W.comp_mem _ _ hv₅ hw)
end LeftFractionRel
section
variable (W)
lemma equivalenceLeftFractionRel [W.HasLeftCalculusOfFractions] (X Y : C) :
@_root_.Equivalence (W.LeftFraction X Y) LeftFractionRel where
refl := LeftFractionRel.refl
symm := LeftFractionRel.symm
trans := LeftFractionRel.trans
variable {W}
namespace LeftFraction
open HasLeftCalculusOfFractions
/-- Auxiliary definition for the composition of left fractions. -/
@[simp]
def comp₀ [W.HasLeftCalculusOfFractions] {X Y Z : C}
(z₁ : W.LeftFraction X Y) (z₂ : W.LeftFraction Y Z) (z₃ : W.LeftFraction z₁.Y' z₂.Y') :
W.LeftFraction X Z :=
mk (z₁.f ≫ z₃.f) (z₂.s ≫ z₃.s) (W.comp_mem _ _ z₂.hs z₃.hs)
/-- The equivalence class of `z₁.comp₀ z₂ z₃` does not depend on the choice of `z₃` provided
they satisfy the compatibility `z₂.f ≫ z₃.s = z₁.s ≫ z₃.f`. -/
lemma comp₀_rel [W.HasLeftCalculusOfFractions]
{X Y Z : C} (z₁ : W.LeftFraction X Y) (z₂ : W.LeftFraction Y Z)
(z₃ z₃' : W.LeftFraction z₁.Y' z₂.Y') (h₃ : z₂.f ≫ z₃.s = z₁.s ≫ z₃.f)
(h₃' : z₂.f ≫ z₃'.s = z₁.s ≫ z₃'.f) :
LeftFractionRel (z₁.comp₀ z₂ z₃) (z₁.comp₀ z₂ z₃') := by
obtain ⟨z₄, fac⟩ := exists_leftFraction (RightFraction.mk z₃.s z₃.hs z₃'.s)
dsimp at fac
have eq : z₁.s ≫ z₃.f ≫ z₄.f = z₁.s ≫ z₃'.f ≫ z₄.s := by
rw [← reassoc_of% h₃, ← reassoc_of% h₃', fac]
obtain ⟨Y, t, ht, fac'⟩ := HasLeftCalculusOfFractions.ext _ _ _ z₁.hs eq
simp only [assoc] at fac'
refine ⟨Y, z₄.f ≫ t, z₄.s ≫ t, ?_, ?_, ?_⟩
· simp only [comp₀, assoc, reassoc_of% fac]
· simp only [comp₀, assoc, fac']
· simp only [comp₀, assoc, ← reassoc_of% fac]
exact W.comp_mem _ _ z₂.hs (W.comp_mem _ _ z₃'.hs (W.comp_mem _ _ z₄.hs ht))
variable (W) in
/-- The morphisms in the constructed localized category for a morphism property `W`
that has left calculus of fractions are equivalence classes of left fractions. -/
def Localization.Hom (X Y : C) :=
Quot (LeftFractionRel : W.LeftFraction X Y → W.LeftFraction X Y → Prop)
/-- The morphism in the constructed localized category that is induced by a left fraction. -/
def Localization.Hom.mk {X Y : C} (z : W.LeftFraction X Y) : Localization.Hom W X Y :=
Quot.mk _ z
lemma Localization.Hom.mk_surjective {X Y : C} (f : Localization.Hom W X Y) :
∃ (z : W.LeftFraction X Y), f = mk z := by
obtain ⟨z⟩ := f
exact ⟨z, rfl⟩
variable [W.HasLeftCalculusOfFractions]
/-- Auxiliary definition towards the definition of the composition of morphisms
in the constructed localized category for a morphism property that has
left calculus of fractions. -/
noncomputable def comp
{X Y Z : C} (z₁ : W.LeftFraction X Y) (z₂ : W.LeftFraction Y Z) :
Localization.Hom W X Z :=
Localization.Hom.mk (z₁.comp₀ z₂ (RightFraction.mk z₁.s z₁.hs z₂.f).leftFraction)
lemma comp_eq {X Y Z : C} (z₁ : W.LeftFraction X Y) (z₂ : W.LeftFraction Y Z)
(z₃ : W.LeftFraction z₁.Y' z₂.Y') (h₃ : z₂.f ≫ z₃.s = z₁.s ≫ z₃.f) :
z₁.comp z₂ = Localization.Hom.mk (z₁.comp₀ z₂ z₃) :=
Quot.sound (LeftFraction.comp₀_rel _ _ _ _
(RightFraction.leftFraction_fac (RightFraction.mk z₁.s z₁.hs z₂.f)) h₃)
namespace Localization
/-- Composition of morphisms in the constructed localized category
for a morphism property that has left calculus of fractions. -/
noncomputable def Hom.comp {X Y Z : C} (z₁ : Hom W X Y) (z₂ : Hom W Y Z) : Hom W X Z := by
refine Quot.lift₂ (fun a b => a.comp b) ?_ ?_ z₁ z₂
· rintro a b₁ b₂ ⟨U, t₁, t₂, hst, hft, ht⟩
obtain ⟨z₁, fac₁⟩ := exists_leftFraction (RightFraction.mk a.s a.hs b₁.f)
obtain ⟨z₂, fac₂⟩ := exists_leftFraction (RightFraction.mk a.s a.hs b₂.f)
obtain ⟨w₁, fac₁'⟩ := exists_leftFraction (RightFraction.mk z₁.s z₁.hs t₁)
obtain ⟨w₂, fac₂'⟩ := exists_leftFraction (RightFraction.mk z₂.s z₂.hs t₂)
obtain ⟨u, fac₃⟩ := exists_leftFraction (RightFraction.mk w₁.s w₁.hs w₂.s)
dsimp at fac₁ fac₂ fac₁' fac₂' fac₃ ⊢
have eq : a.s ≫ z₁.f ≫ w₁.f ≫ u.f = a.s ≫ z₂.f ≫ w₂.f ≫ u.s := by
rw [← reassoc_of% fac₁, ← reassoc_of% fac₂, ← reassoc_of% fac₁', ← reassoc_of% fac₂',
reassoc_of% hft, fac₃]
obtain ⟨Z, p, hp, fac₄⟩ := HasLeftCalculusOfFractions.ext _ _ _ a.hs eq
simp only [assoc] at fac₄
rw [comp_eq _ _ z₁ fac₁, comp_eq _ _ z₂ fac₂]
apply Quot.sound
refine ⟨Z, w₁.f ≫ u.f ≫ p, w₂.f ≫ u.s ≫ p, ?_, ?_, ?_⟩
· dsimp
simp only [assoc, ← reassoc_of% fac₁', ← reassoc_of% fac₂',
reassoc_of% hst, reassoc_of% fac₃]
· dsimp
simp only [assoc, fac₄]
· dsimp
simp only [assoc]
rw [← reassoc_of% fac₁', ← reassoc_of% fac₃, ← assoc]
exact W.comp_mem _ _ ht (W.comp_mem _ _ w₂.hs (W.comp_mem _ _ u.hs hp))
· rintro a₁ a₂ b ⟨U, t₁, t₂, hst, hft, ht⟩
obtain ⟨z₁, fac₁⟩ := exists_leftFraction (RightFraction.mk a₁.s a₁.hs b.f)
obtain ⟨z₂, fac₂⟩ := exists_leftFraction (RightFraction.mk a₂.s a₂.hs b.f)
obtain ⟨w₁, fac₁'⟩ := exists_leftFraction (RightFraction.mk (a₁.s ≫ t₁) ht (b.f ≫ z₁.s))
obtain ⟨w₂, fac₂'⟩ := exists_leftFraction (RightFraction.mk (a₂.s ≫ t₂)
(show W _ by rw [← hst]; exact ht) (b.f ≫ z₂.s))
let p₁ : W.LeftFraction X Z := LeftFraction.mk (a₁.f ≫ t₁ ≫ w₁.f) (b.s ≫ z₁.s ≫ w₁.s)
(W.comp_mem _ _ b.hs (W.comp_mem _ _ z₁.hs w₁.hs))
let p₂ : W.LeftFraction X Z := LeftFraction.mk (a₂.f ≫ t₂ ≫ w₂.f) (b.s ≫ z₂.s ≫ w₂.s)
(W.comp_mem _ _ b.hs (W.comp_mem _ _ z₂.hs w₂.hs))
dsimp at fac₁ fac₂ fac₁' fac₂' ⊢
simp only [assoc] at fac₁' fac₂'
rw [comp_eq _ _ z₁ fac₁, comp_eq _ _ z₂ fac₂]
apply Quot.sound
refine LeftFractionRel.trans ?_ ((?_ : LeftFractionRel p₁ p₂).trans ?_)
· have eq : a₁.s ≫ z₁.f ≫ w₁.s = a₁.s ≫ t₁ ≫ w₁.f := by rw [← fac₁', reassoc_of% fac₁]
obtain ⟨Z, u, hu, fac₃⟩ := HasLeftCalculusOfFractions.ext _ _ _ a₁.hs eq
simp only [assoc] at fac₃
refine ⟨Z, w₁.s ≫ u, u, ?_, ?_, ?_⟩
· dsimp [p₁]
simp only [assoc]
· dsimp [p₁]
simp only [assoc, fac₃]
· dsimp
simp only [assoc]
exact W.comp_mem _ _ b.hs (W.comp_mem _ _ z₁.hs (W.comp_mem _ _ w₁.hs hu))
· obtain ⟨q, fac₃⟩ := exists_leftFraction (RightFraction.mk (z₁.s ≫ w₁.s)
(W.comp_mem _ _ z₁.hs w₁.hs) (z₂.s ≫ w₂.s))
dsimp at fac₃
simp only [assoc] at fac₃
have eq : a₁.s ≫ t₁ ≫ w₁.f ≫ q.f = a₁.s ≫ t₁ ≫ w₂.f ≫ q.s := by
rw [← reassoc_of% fac₁', ← fac₃, reassoc_of% hst, reassoc_of% fac₂']
obtain ⟨Z, u, hu, fac₄⟩ := HasLeftCalculusOfFractions.ext _ _ _ a₁.hs eq
simp only [assoc] at fac₄
refine ⟨Z, q.f ≫ u, q.s ≫ u, ?_, ?_, ?_⟩
· simp only [p₁, p₂, assoc, reassoc_of% fac₃]
· rw [assoc, assoc, assoc, assoc, fac₄, reassoc_of% hft]
· simp only [p₁, p₂, assoc, ← reassoc_of% fac₃]
exact W.comp_mem _ _ b.hs (W.comp_mem _ _ z₂.hs
(W.comp_mem _ _ w₂.hs (W.comp_mem _ _ q.hs hu)))
· have eq : a₂.s ≫ z₂.f ≫ w₂.s = a₂.s ≫ t₂ ≫ w₂.f := by
rw [← fac₂', reassoc_of% fac₂]
obtain ⟨Z, u, hu, fac₄⟩ := HasLeftCalculusOfFractions.ext _ _ _ a₂.hs eq
simp only [assoc] at fac₄
refine ⟨Z, u, w₂.s ≫ u, ?_, ?_, ?_⟩
· dsimp [p₁, p₂]
simp only [assoc]
· dsimp [p₁, p₂]
simp only [assoc, fac₄]
· dsimp [p₁, p₂]
simp only [assoc]
exact W.comp_mem _ _ b.hs (W.comp_mem _ _ z₂.hs (W.comp_mem _ _ w₂.hs hu))
lemma Hom.comp_eq {X Y Z : C} (z₁ : W.LeftFraction X Y) (z₂ : W.LeftFraction Y Z) :
Hom.comp (mk z₁) (mk z₂) = z₁.comp z₂ := rfl
end Localization
/-- The constructed localized category for a morphism property
that has left calculus of fractions. -/
@[nolint unusedArguments]
def Localization (_ : MorphismProperty C) := C
namespace Localization
noncomputable instance : Category (Localization W) where
Hom X Y := Localization.Hom W X Y
id _ := Localization.Hom.mk (ofHom W (𝟙 _))
comp f g := f.comp g
comp_id := by
rintro (X Y : C) f
obtain ⟨z, rfl⟩ := Hom.mk_surjective f
change (Hom.mk z).comp (Hom.mk (ofHom W (𝟙 Y))) = Hom.mk z
rw [Hom.comp_eq, comp_eq z (ofHom W (𝟙 Y)) (ofInv z.s z.hs) (by simp)]
dsimp [comp₀]
simp only [comp_id, id_comp]
id_comp := by
rintro (X Y : C) f
obtain ⟨z, rfl⟩ := Hom.mk_surjective f
change (Hom.mk (ofHom W (𝟙 X))).comp (Hom.mk z) = Hom.mk z
rw [Hom.comp_eq, comp_eq (ofHom W (𝟙 X)) z (ofHom W z.f) (by simp)]
dsimp
simp only [comp₀, id_comp, comp_id]
assoc := by
rintro (X₁ X₂ X₃ X₄ : C) f₁ f₂ f₃
obtain ⟨z₁, rfl⟩ := Hom.mk_surjective f₁
obtain ⟨z₂, rfl⟩ := Hom.mk_surjective f₂
obtain ⟨z₃, rfl⟩ := Hom.mk_surjective f₃
change ((Hom.mk z₁).comp (Hom.mk z₂)).comp (Hom.mk z₃) =
(Hom.mk z₁).comp ((Hom.mk z₂).comp (Hom.mk z₃))
rw [Hom.comp_eq z₁ z₂, Hom.comp_eq z₂ z₃]
obtain ⟨z₁₂, fac₁₂⟩ := exists_leftFraction (RightFraction.mk z₁.s z₁.hs z₂.f)
obtain ⟨z₂₃, fac₂₃⟩ := exists_leftFraction (RightFraction.mk z₂.s z₂.hs z₃.f)
obtain ⟨z', fac⟩ := exists_leftFraction (RightFraction.mk z₁₂.s z₁₂.hs z₂₃.f)
dsimp at fac₁₂ fac₂₃ fac
rw [comp_eq z₁ z₂ z₁₂ fac₁₂, comp_eq z₂ z₃ z₂₃ fac₂₃, comp₀, comp₀,
Hom.comp_eq, Hom.comp_eq,
comp_eq _ z₃ (mk z'.f (z₂₃.s ≫ z'.s) (W.comp_mem _ _ z₂₃.hs z'.hs))
(by dsimp; rw [assoc, reassoc_of% fac₂₃, fac]),
comp_eq z₁ _ (mk (z₁₂.f ≫ z'.f) z'.s z'.hs)
(by dsimp; rw [assoc, ← reassoc_of% fac₁₂, fac])]
simp
variable (W) in
/-- The localization functor to the constructed localized category for a morphism property
that has left calculus of fractions. -/
@[simps obj]
def Q : C ⥤ Localization W where
obj X := X
map f := Hom.mk (ofHom W f)
map_id _ := rfl
map_comp {X Y Z} f g := by
change _ = Hom.comp _ _
rw [Hom.comp_eq, comp_eq (ofHom W f) (ofHom W g) (ofHom W g) (by simp)]
simp only [ofHom, comp₀, comp_id]
/-- The morphism on `Localization W` that is induced by a left fraction. -/
abbrev homMk {X Y : C} (f : W.LeftFraction X Y) : (Q W).obj X ⟶ (Q W).obj Y := Hom.mk f
lemma homMk_eq_hom_mk {X Y : C} (f : W.LeftFraction X Y) : homMk f = Hom.mk f := rfl
variable (W)
lemma Q_map {X Y : C} (f : X ⟶ Y) : (Q W).map f = homMk (ofHom W f) := rfl
variable {W}
lemma homMk_comp_homMk {X Y Z : C} (z₁ : W.LeftFraction X Y) (z₂ : W.LeftFraction Y Z)
(z₃ : W.LeftFraction z₁.Y' z₂.Y') (h₃ : z₂.f ≫ z₃.s = z₁.s ≫ z₃.f) :
homMk z₁ ≫ homMk z₂ = homMk (z₁.comp₀ z₂ z₃) := by
change Hom.comp _ _ = _
rw [Hom.comp_eq, comp_eq z₁ z₂ z₃ h₃]
lemma homMk_eq_of_leftFractionRel {X Y : C} (z₁ z₂ : W.LeftFraction X Y)
(h : LeftFractionRel z₁ z₂) :
homMk z₁ = homMk z₂ :=
Quot.sound h
lemma homMk_eq_iff_leftFractionRel {X Y : C} (z₁ z₂ : W.LeftFraction X Y) :
homMk z₁ = homMk z₂ ↔ LeftFractionRel z₁ z₂ :=
@Equivalence.quot_mk_eq_iff _ _ (equivalenceLeftFractionRel W X Y) _ _
/-- The morphism in `Localization W` that is the formal inverse of a morphism
which belongs to `W`. -/
def Qinv {X Y : C} (s : X ⟶ Y) (hs : W s) : (Q W).obj Y ⟶ (Q W).obj X := homMk (ofInv s hs)
lemma Q_map_comp_Qinv {X Y Y' : C} (f : X ⟶ Y') (s : Y ⟶ Y') (hs : W s) :
(Q W).map f ≫ Qinv s hs = homMk (mk f s hs) := by
dsimp only [Q_map, Qinv]
rw [homMk_comp_homMk (ofHom W f) (ofInv s hs) (ofHom W (𝟙 _)) (by simp)]
simp
/-- The isomorphism in `Localization W` that is induced by a morphism in `W`. -/
@[simps]
def Qiso {X Y : C} (s : X ⟶ Y) (hs : W s) : (Q W).obj X ≅ (Q W).obj Y where
hom := (Q W).map s
inv := Qinv s hs
hom_inv_id := by
rw [Q_map_comp_Qinv]
apply homMk_eq_of_leftFractionRel
exact ⟨_, 𝟙 Y, s, by simp, by simp, by simpa using hs⟩
inv_hom_id := by
dsimp only [Qinv, Q_map]
rw [homMk_comp_homMk (ofInv s hs) (ofHom W s) (ofHom W (𝟙 Y)) (by simp)]
apply homMk_eq_of_leftFractionRel
exact ⟨_, 𝟙 Y, 𝟙 Y, by simp, by simp, by simpa using W.id_mem Y⟩
@[reassoc (attr := simp)]
lemma Qiso_hom_inv_id {X Y : C} (s : X ⟶ Y) (hs : W s) :
(Q W).map s ≫ Qinv s hs = 𝟙 _ := (Qiso s hs).hom_inv_id
@[reassoc (attr := simp)]
lemma Qiso_inv_hom_id {X Y : C} (s : X ⟶ Y) (hs : W s) :
Qinv s hs ≫ (Q W).map s = 𝟙 _ := (Qiso s hs).inv_hom_id
instance {X Y : C} (s : X ⟶ Y) (hs : W s) : IsIso (Qinv s hs) :=
(inferInstance : IsIso (Qiso s hs).inv)
section
variable {E : Type*} [Category E]
/-- The image by a functor which inverts `W` of an equivalence class of left fractions. -/
noncomputable def Hom.map {X Y : C} (f : Hom W X Y) (F : C ⥤ E) (hF : W.IsInvertedBy F) :
F.obj X ⟶ F.obj Y :=
Quot.lift (fun f => f.map F hF) (by
intro a₁ a₂ ⟨Z, t₁, t₂, hst, hft, h⟩
dsimp
have := hF _ h
rw [← cancel_mono (F.map (a₁.s ≫ t₁)), F.map_comp, map_comp_map_s_assoc,
← F.map_comp, ← F.map_comp, hst, hft, F.map_comp,
F.map_comp, map_comp_map_s_assoc]) f
@[simp]
lemma Hom.map_mk {W} {X Y : C} (f : LeftFraction W X Y)
(F : C ⥤ E) (hF : W.IsInvertedBy F) :
Hom.map (Hom.mk f) F hF = f.map F hF := rfl
namespace StrictUniversalPropertyFixedTarget
variable (W)
lemma inverts : W.IsInvertedBy (Q W) := fun _ _ s hs =>
(inferInstance : IsIso (Qiso s hs).hom)
variable {W}
/-- The functor `Localization W ⥤ E` that is induced by a functor `C ⥤ E` which inverts `W`,
when `W` has a left calculus of fractions. -/
noncomputable def lift (F : C ⥤ E) (hF : W.IsInvertedBy F) :
Localization W ⥤ E where
obj X := F.obj X
map {_ _ : C} f := f.map F hF
map_id := by
intro (X : C)
change (Hom.mk (ofHom W (𝟙 X))).map F hF = _
rw [Hom.map_mk, map_ofHom, F.map_id]
map_comp := by
rintro (X Y Z : C) f g
obtain ⟨f, rfl⟩ := Hom.mk_surjective f
obtain ⟨g, rfl⟩ := Hom.mk_surjective g
dsimp
obtain ⟨z, fac⟩ := HasLeftCalculusOfFractions.exists_leftFraction
(RightFraction.mk f.s f.hs g.f)
rw [homMk_comp_homMk f g z fac, Hom.map_mk]
dsimp at fac ⊢
have := hF _ g.hs
have := hF _ z.hs
rw [← cancel_mono (F.map g.s), assoc, map_comp_map_s,
← cancel_mono (F.map z.s), assoc, assoc, ← F.map_comp,
← F.map_comp, map_comp_map_s, fac]
dsimp
rw [F.map_comp, F.map_comp, map_comp_map_s_assoc]
lemma fac (F : C ⥤ E) (hF : W.IsInvertedBy F) : Q W ⋙ lift F hF = F :=
Functor.ext (fun _ => rfl) (fun X Y f => by
dsimp [lift]
rw [Q_map, Hom.map_mk, id_comp, comp_id, map_ofHom])
lemma uniq (F₁ F₂ : Localization W ⥤ E) (h : Q W ⋙ F₁ = Q W ⋙ F₂) : F₁ = F₂ :=
Functor.ext (fun X => Functor.congr_obj h X) (by
rintro (X Y : C) f
obtain ⟨f, rfl⟩ := Hom.mk_surjective f
rw [show Hom.mk f = homMk (mk f.f f.s f.hs) by rfl,
← Q_map_comp_Qinv f.f f.s f.hs, F₁.map_comp, F₂.map_comp, assoc]
erw [Functor.congr_hom h f.f]
rw [assoc, assoc]
congr 2
have := inverts W _ f.hs
rw [← cancel_epi (F₂.map ((Q W).map f.s)), ← F₂.map_comp_assoc,
Qiso_hom_inv_id, Functor.map_id, id_comp]
erw [Functor.congr_hom h.symm f.s]
dsimp
rw [assoc, assoc, eqToHom_trans_assoc, eqToHom_refl, id_comp, ← F₁.map_comp,
Qiso_hom_inv_id]
dsimp
rw [F₁.map_id, comp_id])
end StrictUniversalPropertyFixedTarget
variable (W)
open StrictUniversalPropertyFixedTarget in
/-- The universal property of the localization for the constructed localized category
when there is a left calculus of fractions. -/
noncomputable def strictUniversalPropertyFixedTarget (E : Type*) [Category E] :
Localization.StrictUniversalPropertyFixedTarget (Q W) W E where
inverts := inverts W
lift := lift
fac := fac
uniq := uniq
instance : (Q W).IsLocalization W :=
Functor.IsLocalization.mk' _ _
(strictUniversalPropertyFixedTarget W _)
(strictUniversalPropertyFixedTarget W _)
end
lemma homMk_eq {X Y : C} (f : LeftFraction W X Y) :
homMk f = f.map (Q W) (Localization.inverts _ W) := by
have := Localization.inverts (Q W) W f.s f.hs
rw [← Q_map_comp_Qinv f.f f.s f.hs, ← cancel_mono ((Q W).map f.s),
assoc, Qiso_inv_hom_id, comp_id, map_comp_map_s]
lemma map_eq_iff {X Y : C} (f g : LeftFraction W X Y) :
f.map (LeftFraction.Localization.Q W) (Localization.inverts _ _) =
g.map (LeftFraction.Localization.Q W) (Localization.inverts _ _) ↔
LeftFractionRel f g := by
simp only [← Hom.map_mk _ (Q W)]
constructor
· intro h
rw [← homMk_eq_iff_leftFractionRel, homMk_eq, homMk_eq]
exact h
· intro h
congr 1
exact Quot.sound h
end Localization
section
lemma map_eq {W} {X Y : C} (φ : W.LeftFraction X Y) (L : C ⥤ D) [L.IsLocalization W] :
φ.map L (Localization.inverts L W) =
L.map φ.f ≫ (Localization.isoOfHom L W φ.s φ.hs).inv := rfl
lemma map_compatibility {W} {X Y : C}
(φ : W.LeftFraction X Y) {E : Type*} [Category E]
(L₁ : C ⥤ D) (L₂ : C ⥤ E) [L₁.IsLocalization W] [L₂.IsLocalization W] :
(Localization.uniq L₁ L₂ W).functor.map (φ.map L₁ (Localization.inverts L₁ W)) =
(Localization.compUniqFunctor L₁ L₂ W).hom.app X ≫
φ.map L₂ (Localization.inverts L₂ W) ≫
(Localization.compUniqFunctor L₁ L₂ W).inv.app Y := by
let e := Localization.compUniqFunctor L₁ L₂ W
have := Localization.inverts L₂ W φ.s φ.hs
rw [← cancel_mono (e.hom.app Y), assoc, assoc, e.inv_hom_id_app, comp_id,
← cancel_mono (L₂.map φ.s), assoc, assoc, map_comp_map_s, ← e.hom.naturality]
simpa [← Functor.map_comp_assoc, map_comp_map_s] using e.hom.naturality φ.f
lemma map_eq_of_map_eq {W} {X Y : C}
(φ₁ φ₂ : W.LeftFraction X Y) {E : Type*} [Category E]
(L₁ : C ⥤ D) (L₂ : C ⥤ E) [L₁.IsLocalization W] [L₂.IsLocalization W]
(h : φ₁.map L₁ (Localization.inverts L₁ W) = φ₂.map L₁ (Localization.inverts L₁ W)) :
φ₁.map L₂ (Localization.inverts L₂ W) = φ₂.map L₂ (Localization.inverts L₂ W) := by
apply (Localization.uniq L₂ L₁ W).functor.map_injective
rw [map_compatibility φ₁ L₂ L₁, map_compatibility φ₂ L₂ L₁, h]
lemma map_comp_map_eq_map {X Y Z : C} (z₁ : W.LeftFraction X Y) (z₂ : W.LeftFraction Y Z)
(z₃ : W.LeftFraction z₁.Y' z₂.Y') (h₃ : z₂.f ≫ z₃.s = z₁.s ≫ z₃.f)
(L : C ⥤ D) [L.IsLocalization W] :
z₁.map L (Localization.inverts L W) ≫ z₂.map L (Localization.inverts L W) =
(z₁.comp₀ z₂ z₃).map L (Localization.inverts L W) := by
have := Localization.inverts L W _ z₂.hs
have := Localization.inverts L W _ z₃.hs
have : IsIso (L.map (z₂.s ≫ z₃.s)) := by
rw [L.map_comp]
infer_instance
dsimp [LeftFraction.comp₀]
rw [← cancel_mono (L.map (z₂.s ≫ z₃.s)), map_comp_map_s,
L.map_comp, assoc, map_comp_map_s_assoc, ← L.map_comp, h₃,
L.map_comp, map_comp_map_s_assoc, L.map_comp]
end
end LeftFraction
end
end MorphismProperty
variable (L : C ⥤ D) (W : MorphismProperty C) [L.IsLocalization W]
section
variable [W.HasLeftCalculusOfFractions]
lemma Localization.exists_leftFraction {X Y : C} (f : L.obj X ⟶ L.obj Y) :
∃ (φ : W.LeftFraction X Y), f = φ.map L (Localization.inverts L W) := by
let E := Localization.uniq (MorphismProperty.LeftFraction.Localization.Q W) L W
let e : _ ⋙ E.functor ≅ L := Localization.compUniqFunctor _ _ _
obtain ⟨f', rfl⟩ : ∃ (f' : E.functor.obj X ⟶ E.functor.obj Y),
f = e.inv.app _ ≫ f' ≫ e.hom.app _ := ⟨e.hom.app _ ≫ f ≫ e.inv.app _, by simp⟩
obtain ⟨g, rfl⟩ := E.functor.map_surjective f'
obtain ⟨g, rfl⟩ := MorphismProperty.LeftFraction.Localization.Hom.mk_surjective g
refine ⟨g, ?_⟩
rw [← MorphismProperty.LeftFraction.Localization.homMk_eq_hom_mk,
MorphismProperty.LeftFraction.Localization.homMk_eq g,
g.map_compatibility (MorphismProperty.LeftFraction.Localization.Q W) L,
assoc, assoc, Iso.inv_hom_id_app, comp_id, Iso.inv_hom_id_app_assoc]
lemma MorphismProperty.LeftFraction.map_eq_iff
{X Y : C} (φ ψ : W.LeftFraction X Y) :
φ.map L (Localization.inverts _ _) = ψ.map L (Localization.inverts _ _) ↔
LeftFractionRel φ ψ := by
constructor
· intro h
rw [← MorphismProperty.LeftFraction.Localization.map_eq_iff]
apply map_eq_of_map_eq _ _ _ _ h
· intro h
simp only [← Localization.Hom.map_mk _ L (Localization.inverts _ _)]
congr 1
exact Quot.sound h
lemma MorphismProperty.map_eq_iff_postcomp {X Y : C} (f₁ f₂ : X ⟶ Y) :
L.map f₁ = L.map f₂ ↔ ∃ (Z : C) (s : Y ⟶ Z) (_ : W s), f₁ ≫ s = f₂ ≫ s := by
constructor
· intro h
rw [← LeftFraction.map_ofHom W _ L (Localization.inverts _ _),
← LeftFraction.map_ofHom W _ L (Localization.inverts _ _),
LeftFraction.map_eq_iff] at h
obtain ⟨Z, t₁, t₂, hst, hft, ht⟩ := h
dsimp at t₁ t₂ hst hft ht
simp only [id_comp] at hst
exact ⟨Z, t₁, by simpa using ht, by rw [hft, hst]⟩
· rintro ⟨Z, s, hs, fac⟩
simp only [← cancel_mono (Localization.isoOfHom L W s hs).hom,
Localization.isoOfHom_hom, ← L.map_comp, fac]
include W in
lemma Localization.essSurj_mapArrow :
L.mapArrow.EssSurj where
mem_essImage f := by
have := Localization.essSurj L W
obtain ⟨X, ⟨eX⟩⟩ : ∃ (X : C), Nonempty (L.obj X ≅ f.left) :=
⟨_, ⟨L.objObjPreimageIso f.left⟩⟩
obtain ⟨Y, ⟨eY⟩⟩ : ∃ (Y : C), Nonempty (L.obj Y ≅ f.right) :=
⟨_, ⟨L.objObjPreimageIso f.right⟩⟩
obtain ⟨φ, hφ⟩ := Localization.exists_leftFraction L W (eX.hom ≫ f.hom ≫ eY.inv)
refine ⟨Arrow.mk φ.f, ⟨Iso.symm ?_⟩⟩
refine Arrow.isoMk eX.symm (eY.symm ≪≫ Localization.isoOfHom L W φ.s φ.hs) ?_
dsimp
simp only [← cancel_epi eX.hom, Iso.hom_inv_id_assoc, reassoc_of% hφ,
MorphismProperty.LeftFraction.map_comp_map_s]
end
namespace MorphismProperty
variable {W}
/-- The right fraction in the opposite category corresponding to a left fraction. -/
@[simps]
def LeftFraction.op {X Y : C} (φ : W.LeftFraction X Y) :
W.op.RightFraction (Opposite.op Y) (Opposite.op X) where
X' := Opposite.op φ.Y'
s := φ.s.op
hs := φ.hs
f := φ.f.op
/-- The left fraction in the opposite category corresponding to a right fraction. -/
@[simps]
def RightFraction.op {X Y : C} (φ : W.RightFraction X Y) :
W.op.LeftFraction (Opposite.op Y) (Opposite.op X) where
Y' := Opposite.op φ.X'
s := φ.s.op
hs := φ.hs
f := φ.f.op
/-- The right fraction corresponding to a left fraction in the opposite category. -/
@[simps]
def LeftFraction.unop {W : MorphismProperty Cᵒᵖ}
{X Y : Cᵒᵖ} (φ : W.LeftFraction X Y) :
W.unop.RightFraction (Opposite.unop Y) (Opposite.unop X) where
X' := Opposite.unop φ.Y'
s := φ.s.unop
hs := φ.hs
f := φ.f.unop
/-- The left fraction corresponding to a right fraction in the opposite category. -/
@[simps]
def RightFraction.unop {W : MorphismProperty Cᵒᵖ}
{X Y : Cᵒᵖ} (φ : W.RightFraction X Y) :
W.unop.LeftFraction (Opposite.unop Y) (Opposite.unop X) where
Y' := Opposite.unop φ.X'
s := φ.s.unop
hs := φ.hs
f := φ.f.unop
lemma RightFraction.op_map
{X Y : C} (φ : W.RightFraction X Y) (L : C ⥤ D) (hL : W.IsInvertedBy L) :
(φ.map L hL).op = φ.op.map L.op hL.op := by
dsimp [map, LeftFraction.map]
rw [op_inv]
lemma LeftFraction.op_map
{X Y : C} (φ : W.LeftFraction X Y) (L : C ⥤ D) (hL : W.IsInvertedBy L) :
(φ.map L hL).op = φ.op.map L.op hL.op := by
dsimp [map, RightFraction.map]
rw [op_inv]
instance [h : W.HasLeftCalculusOfFractions] : W.op.HasRightCalculusOfFractions where
exists_rightFraction X Y φ := by
obtain ⟨ψ, eq⟩ := h.exists_leftFraction φ.unop
exact ⟨ψ.op, Quiver.Hom.unop_inj eq⟩
ext X Y Y' f₁ f₂ s hs eq := by
obtain ⟨X', t, ht, fac⟩ := h.ext f₁.unop f₂.unop s.unop hs (Quiver.Hom.op_inj eq)
exact ⟨Opposite.op X', t.op, ht, Quiver.Hom.unop_inj fac⟩
instance [h : W.HasRightCalculusOfFractions] : W.op.HasLeftCalculusOfFractions where
exists_leftFraction X Y φ := by
obtain ⟨ψ, eq⟩ := h.exists_rightFraction φ.unop
exact ⟨ψ.op, Quiver.Hom.unop_inj eq⟩
ext X' X Y f₁ f₂ s hs eq := by
obtain ⟨Y', t, ht, fac⟩ := h.ext f₁.unop f₂.unop s.unop hs (Quiver.Hom.op_inj eq)
exact ⟨Opposite.op Y', t.op, ht, Quiver.Hom.unop_inj fac⟩
instance (W : MorphismProperty Cᵒᵖ) [h : W.HasLeftCalculusOfFractions] :
W.unop.HasRightCalculusOfFractions where
exists_rightFraction X Y φ := by
obtain ⟨ψ, eq⟩ := h.exists_leftFraction φ.op
exact ⟨ψ.unop, Quiver.Hom.op_inj eq⟩
ext X Y Y' f₁ f₂ s hs eq := by
obtain ⟨X', t, ht, fac⟩ := h.ext f₁.op f₂.op s.op hs (Quiver.Hom.unop_inj eq)
exact ⟨Opposite.unop X', t.unop, ht, Quiver.Hom.op_inj fac⟩
instance (W : MorphismProperty Cᵒᵖ) [h : W.HasRightCalculusOfFractions] :
W.unop.HasLeftCalculusOfFractions where
exists_leftFraction X Y φ := by
obtain ⟨ψ, eq⟩ := h.exists_rightFraction φ.op
exact ⟨ψ.unop, Quiver.Hom.op_inj eq⟩
ext X' X Y f₁ f₂ s hs eq := by
obtain ⟨Y', t, ht, fac⟩ := h.ext f₁.op f₂.op s.op hs (Quiver.Hom.unop_inj eq)
exact ⟨Opposite.unop Y', t.unop, ht, Quiver.Hom.op_inj fac⟩
/-- The equivalence relation on right fractions for a morphism property `W`. -/
def RightFractionRel {X Y : C} (z₁ z₂ : W.RightFraction X Y) : Prop :=
∃ (Z : C) (t₁ : Z ⟶ z₁.X') (t₂ : Z ⟶ z₂.X') (_ : t₁ ≫ z₁.s = t₂ ≫ z₂.s)
(_ : t₁ ≫ z₁.f = t₂ ≫ z₂.f), W (t₁ ≫ z₁.s)
lemma RightFractionRel.op {X Y : C} {z₁ z₂ : W.RightFraction X Y}
(h : RightFractionRel z₁ z₂) : LeftFractionRel z₁.op z₂.op := by
obtain ⟨Z, t₁, t₂, hs, hf, ht⟩ := h
exact ⟨Opposite.op Z, t₁.op, t₂.op, Quiver.Hom.unop_inj hs,
Quiver.Hom.unop_inj hf, ht⟩
lemma RightFractionRel.unop {W : MorphismProperty Cᵒᵖ} {X Y : Cᵒᵖ}
{z₁ z₂ : W.RightFraction X Y}
| (h : RightFractionRel z₁ z₂) : LeftFractionRel z₁.unop z₂.unop := by
obtain ⟨Z, t₁, t₂, hs, hf, ht⟩ := h
exact ⟨Opposite.unop Z, t₁.unop, t₂.unop, Quiver.Hom.op_inj hs,
Quiver.Hom.op_inj hf, ht⟩
lemma LeftFractionRel.op {X Y : C} {z₁ z₂ : W.LeftFraction X Y}
| Mathlib/CategoryTheory/Localization/CalculusOfFractions.lean | 884 | 889 |
/-
Copyright (c) 2020 Kim Morrison. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Kim Morrison
-/
import Mathlib.Geometry.RingedSpace.PresheafedSpace
import Mathlib.Topology.Category.TopCat.Limits.Basic
import Mathlib.Topology.Sheaves.Limits
import Mathlib.CategoryTheory.ConcreteCategory.Elementwise
/-!
# `PresheafedSpace C` has colimits.
If `C` has limits, then the category `PresheafedSpace C` has colimits,
and the forgetful functor to `TopCat` preserves these colimits.
When restricted to a diagram where the underlying continuous maps are open embeddings,
this says that we can glue presheaved spaces.
Given a diagram `F : J ⥤ PresheafedSpace C`,
we first build the colimit of the underlying topological spaces,
as `colimit (F ⋙ PresheafedSpace.forget C)`. Call that colimit space `X`.
Our strategy is to push each of the presheaves `F.obj j`
forward along the continuous map `colimit.ι (F ⋙ PresheafedSpace.forget C) j` to `X`.
Since pushforward is functorial, we obtain a diagram `J ⥤ (presheaf C X)ᵒᵖ`
of presheaves on a single space `X`.
(Note that the arrows now point the other direction,
because this is the way `PresheafedSpace C` is set up.)
The limit of this diagram then constitutes the colimit presheaf.
-/
noncomputable section
universe v' u' v u
open CategoryTheory Opposite CategoryTheory.Category CategoryTheory.Functor CategoryTheory.Limits
TopCat TopCat.Presheaf TopologicalSpace
variable {J : Type u'} [Category.{v'} J] {C : Type u} [Category.{v} C]
namespace AlgebraicGeometry
namespace PresheafedSpace
attribute [local simp] eqToHom_map
-- Porting note: we used to have:
-- local attribute [tidy] tactic.auto_cases_opens
-- We would replace this by:
-- attribute [local aesop safe cases (rule_sets := [CategoryTheory])] Opens
-- although it doesn't appear to help in this file, in any case.
@[simp]
theorem map_id_c_app (F : J ⥤ PresheafedSpace.{_, _, v} C) (j) (U) :
(F.map (𝟙 j)).c.app U =
| (Pushforward.id (F.obj j).presheaf).inv.app U ≫
(pushforwardEq (by simp) (F.obj j).presheaf).hom.app U := by
simp [PresheafedSpace.congr_app (F.map_id j)]
@[simp]
theorem map_comp_c_app (F : J ⥤ PresheafedSpace.{_, _, v} C) {j₁ j₂ j₃}
(f : j₁ ⟶ j₂) (g : j₂ ⟶ j₃) (U) :
| Mathlib/Geometry/RingedSpace/PresheafedSpace/HasColimits.lean | 59 | 65 |
/-
Copyright (c) 2022 Jireh Loreaux. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Jireh Loreaux
-/
import Mathlib.Algebra.Group.Hom.End
import Mathlib.Algebra.Group.Submonoid.Membership
import Mathlib.Algebra.Group.Subsemigroup.Membership
import Mathlib.Algebra.Group.Subsemigroup.Operations
import Mathlib.Algebra.GroupWithZero.Center
import Mathlib.Algebra.Ring.Center
import Mathlib.Algebra.Ring.Centralizer
import Mathlib.Algebra.Ring.Opposite
import Mathlib.Algebra.Ring.Prod
import Mathlib.Algebra.Ring.Submonoid.Basic
import Mathlib.Data.Set.Finite.Range
import Mathlib.GroupTheory.Submonoid.Center
import Mathlib.GroupTheory.Subsemigroup.Centralizer
import Mathlib.RingTheory.NonUnitalSubsemiring.Defs
/-!
# Bundled non-unital subsemirings
We define the `CompleteLattice` structure, and non-unital subsemiring
`map`, `comap` and range (`srange`) of a `NonUnitalRingHom` etc.
-/
universe u v w
variable {R : Type u} {S : Type v} {T : Type w} [NonUnitalNonAssocSemiring R] (M : Subsemigroup R)
namespace NonUnitalSubsemiring
@[mono]
theorem toSubsemigroup_strictMono :
StrictMono (toSubsemigroup : NonUnitalSubsemiring R → Subsemigroup R) := fun _ _ => id
@[mono]
theorem toSubsemigroup_mono : Monotone (toSubsemigroup : NonUnitalSubsemiring R → Subsemigroup R) :=
toSubsemigroup_strictMono.monotone
@[mono]
theorem toAddSubmonoid_strictMono :
StrictMono (toAddSubmonoid : NonUnitalSubsemiring R → AddSubmonoid R) := fun _ _ => id
@[mono]
theorem toAddSubmonoid_mono : Monotone (toAddSubmonoid : NonUnitalSubsemiring R → AddSubmonoid R) :=
toAddSubmonoid_strictMono.monotone
end NonUnitalSubsemiring
namespace NonUnitalSubsemiring
variable [NonUnitalNonAssocSemiring S] [NonUnitalNonAssocSemiring T]
variable {F G : Type*} [FunLike F R S] [NonUnitalRingHomClass F R S]
[FunLike G S T] [NonUnitalRingHomClass G S T]
(s : NonUnitalSubsemiring R)
/-- The ring equiv between the top element of `NonUnitalSubsemiring R` and `R`. -/
@[simps!]
def topEquiv : (⊤ : NonUnitalSubsemiring R) ≃+* R :=
{ Subsemigroup.topEquiv, AddSubmonoid.topEquiv with }
/-- The preimage of a non-unital subsemiring along a non-unital ring homomorphism is a
non-unital subsemiring. -/
def comap (f : F) (s : NonUnitalSubsemiring S) : NonUnitalSubsemiring R :=
{ s.toSubsemigroup.comap (f : MulHom R S), s.toAddSubmonoid.comap (f : R →+ S) with
carrier := f ⁻¹' s }
@[simp]
theorem coe_comap (s : NonUnitalSubsemiring S) (f : F) : (s.comap f : Set R) = f ⁻¹' s :=
rfl
@[simp]
theorem mem_comap {s : NonUnitalSubsemiring S} {f : F} {x : R} : x ∈ s.comap f ↔ f x ∈ s :=
Iff.rfl
-- this has some nasty coercions, how to deal with it?
theorem comap_comap (s : NonUnitalSubsemiring T) (g : G) (f : F) :
((s.comap g : NonUnitalSubsemiring S).comap f : NonUnitalSubsemiring R) =
s.comap ((g : S →ₙ+* T).comp (f : R →ₙ+* S)) :=
rfl
/-- The image of a non-unital subsemiring along a ring homomorphism is a non-unital subsemiring. -/
def map (f : F) (s : NonUnitalSubsemiring R) : NonUnitalSubsemiring S :=
{ s.toSubsemigroup.map (f : R →ₙ* S), s.toAddSubmonoid.map (f : R →+ S) with carrier := f '' s }
@[simp]
theorem coe_map (f : F) (s : NonUnitalSubsemiring R) : (s.map f : Set S) = f '' s :=
rfl
@[simp]
theorem mem_map {f : F} {s : NonUnitalSubsemiring R} {y : S} : y ∈ s.map f ↔ ∃ x ∈ s, f x = y :=
Iff.rfl
@[simp]
theorem map_id : s.map (NonUnitalRingHom.id R) = s :=
SetLike.coe_injective <| Set.image_id _
-- unavoidable coercions?
theorem map_map (g : G) (f : F) :
(s.map (f : R →ₙ+* S)).map (g : S →ₙ+* T) = s.map ((g : S →ₙ+* T).comp (f : R →ₙ+* S)) :=
SetLike.coe_injective <| Set.image_image _ _ _
theorem map_le_iff_le_comap {f : F} {s : NonUnitalSubsemiring R} {t : NonUnitalSubsemiring S} :
s.map f ≤ t ↔ s ≤ t.comap f :=
Set.image_subset_iff
theorem gc_map_comap (f : F) :
@GaloisConnection (NonUnitalSubsemiring R) (NonUnitalSubsemiring S) _ _ (map f) (comap f) :=
fun _ _ => map_le_iff_le_comap
/-- A non-unital subsemiring is isomorphic to its image under an injective function -/
noncomputable def equivMapOfInjective (f : F) (hf : Function.Injective (f : R → S)) :
s ≃+* s.map f :=
{ Equiv.Set.image f s hf with
map_mul' := fun _ _ => Subtype.ext (map_mul f _ _)
map_add' := fun _ _ => Subtype.ext (map_add f _ _) }
@[simp]
theorem coe_equivMapOfInjective_apply (f : F) (hf : Function.Injective f) (x : s) :
(equivMapOfInjective s f hf x : S) = f x :=
rfl
end NonUnitalSubsemiring
namespace NonUnitalRingHom
open NonUnitalSubsemiring
variable [NonUnitalNonAssocSemiring S] [NonUnitalNonAssocSemiring T]
variable {F G : Type*} [FunLike F R S] [NonUnitalRingHomClass F R S]
variable [FunLike G S T] [NonUnitalRingHomClass G S T] (f : F) (g : G)
/-- The range of a non-unital ring homomorphism is a non-unital subsemiring.
See note [range copy pattern]. -/
def srange : NonUnitalSubsemiring S :=
((⊤ : NonUnitalSubsemiring R).map (f : R →ₙ+* S)).copy (Set.range f) Set.image_univ.symm
@[simp]
theorem coe_srange : (srange f : Set S) = Set.range f :=
rfl
@[simp]
theorem mem_srange {f : F} {y : S} : y ∈ srange f ↔ ∃ x, f x = y :=
Iff.rfl
theorem srange_eq_map : srange f = (⊤ : NonUnitalSubsemiring R).map f := by
ext
simp
theorem mem_srange_self (f : F) (x : R) : f x ∈ srange f :=
mem_srange.mpr ⟨x, rfl⟩
theorem map_srange (g : S →ₙ+* T) (f : R →ₙ+* S) : map g (srange f) = srange (g.comp f) := by
simpa only [srange_eq_map] using (⊤ : NonUnitalSubsemiring R).map_map g f
/-- The range of a morphism of non-unital semirings is finite if the domain is a finite. -/
instance finite_srange [Finite R] (f : F) : Finite (srange f : NonUnitalSubsemiring S) :=
(Set.finite_range f).to_subtype
end NonUnitalRingHom
namespace NonUnitalSubsemiring
instance : InfSet (NonUnitalSubsemiring R) :=
⟨fun s =>
NonUnitalSubsemiring.mk' (⋂ t ∈ s, ↑t) (⨅ t ∈ s, NonUnitalSubsemiring.toSubsemigroup t)
(by simp) (⨅ t ∈ s, NonUnitalSubsemiring.toAddSubmonoid t) (by simp)⟩
@[simp, norm_cast]
theorem coe_sInf (S : Set (NonUnitalSubsemiring R)) :
((sInf S : NonUnitalSubsemiring R) : Set R) = ⋂ s ∈ S, ↑s :=
rfl
theorem mem_sInf {S : Set (NonUnitalSubsemiring R)} {x : R} : x ∈ sInf S ↔ ∀ p ∈ S, x ∈ p :=
Set.mem_iInter₂
@[simp, norm_cast]
theorem coe_iInf {ι : Sort*} {S : ι → NonUnitalSubsemiring R} :
(↑(⨅ i, S i) : Set R) = ⋂ i, S i := by
simp only [iInf, coe_sInf, Set.biInter_range]
theorem mem_iInf {ι : Sort*} {S : ι → NonUnitalSubsemiring R} {x : R} :
(x ∈ ⨅ i, S i) ↔ ∀ i, x ∈ S i := by
simp only [iInf, mem_sInf, Set.forall_mem_range]
@[simp]
theorem sInf_toSubsemigroup (s : Set (NonUnitalSubsemiring R)) :
(sInf s).toSubsemigroup = ⨅ t ∈ s, NonUnitalSubsemiring.toSubsemigroup t :=
mk'_toSubsemigroup _ _
@[simp]
theorem sInf_toAddSubmonoid (s : Set (NonUnitalSubsemiring R)) :
(sInf s).toAddSubmonoid = ⨅ t ∈ s, NonUnitalSubsemiring.toAddSubmonoid t :=
mk'_toAddSubmonoid _ _
/-- Non-unital subsemirings of a non-unital semiring form a complete lattice. -/
instance : CompleteLattice (NonUnitalSubsemiring R) :=
{ completeLatticeOfInf (NonUnitalSubsemiring R)
fun _ => IsGLB.of_image SetLike.coe_subset_coe isGLB_biInf with
bot := ⊥
bot_le := fun s _ hx => (mem_bot.mp hx).symm ▸ zero_mem s
top := ⊤
le_top := fun _ _ _ => trivial
inf := (· ⊓ ·)
inf_le_left := fun _ _ _ => And.left
inf_le_right := fun _ _ _ => And.right
le_inf := fun _ _ _ h₁ h₂ _ hx => ⟨h₁ hx, h₂ hx⟩ }
theorem eq_top_iff' (A : NonUnitalSubsemiring R) : A = ⊤ ↔ ∀ x : R, x ∈ A :=
eq_top_iff.trans ⟨fun h m => h <| mem_top m, fun h m _ => h m⟩
section NonUnitalNonAssocSemiring
variable (R)
/-- The center of a semiring `R` is the set of elements that commute and associate with everything
in `R` -/
def center : NonUnitalSubsemiring R :=
{ Subsemigroup.center R with
zero_mem' := Set.zero_mem_center
add_mem' := Set.add_mem_center }
theorem coe_center : ↑(center R) = Set.center R :=
rfl
@[simp]
theorem center_toSubsemigroup :
(center R).toSubsemigroup = Subsemigroup.center R :=
rfl
/-- The center is commutative and associative. -/
instance center.instNonUnitalCommSemiring : NonUnitalCommSemiring (center R) :=
{ Subsemigroup.center.commSemigroup,
NonUnitalSubsemiringClass.toNonUnitalNonAssocSemiring (center R) with }
/-- A point-free means of proving membership in the center, for a non-associative ring.
This can be helpful when working with types that have ext lemmas for `R →+ R`. -/
lemma _root_.Set.mem_center_iff_addMonoidHom (a : R) :
a ∈ Set.center R ↔
AddMonoidHom.mulLeft a = .mulRight a ∧
AddMonoidHom.compr₂ .mul (.mulLeft a) = .comp .mul (.mulLeft a) ∧
AddMonoidHom.comp .mul (.mulRight a) = .compl₂ .mul (.mulLeft a) ∧
AddMonoidHom.compr₂ .mul (.mulRight a) = .compl₂ .mul (.mulRight a) := by
rw [Set.mem_center_iff, isMulCentral_iff]
simp [DFunLike.ext_iff]
variable {R}
/-- The center of isomorphic (not necessarily unital or associative) semirings are isomorphic. -/
@[simps!] def centerCongr [NonUnitalNonAssocSemiring S] (e : R ≃+* S) : center R ≃+* center S where
__ := Subsemigroup.centerCongr e
map_add' _ _ := Subtype.ext <| by exact map_add e ..
/-- The center of a (not necessarily unital or associative) semiring
is isomorphic to the center of its opposite. -/
@[simps!] def centerToMulOpposite : center R ≃+* center Rᵐᵒᵖ where
__ := Subsemigroup.centerToMulOpposite
map_add' _ _ := rfl
end NonUnitalNonAssocSemiring
section NonUnitalSemiring
-- no instance diamond, unlike the unital version
example {R} [NonUnitalSemiring R] :
(center.instNonUnitalCommSemiring _).toNonUnitalSemiring =
NonUnitalSubsemiringClass.toNonUnitalSemiring (center R) := by
with_reducible_and_instances rfl
theorem mem_center_iff {R} [NonUnitalSemiring R] {z : R} : z ∈ center R ↔ ∀ g, g * z = z * g := by
rw [← Semigroup.mem_center_iff]
exact Iff.rfl
instance decidableMemCenter {R} [NonUnitalSemiring R] [DecidableEq R] [Fintype R] :
DecidablePred (· ∈ center R) := fun _ => decidable_of_iff' _ mem_center_iff
@[simp]
theorem center_eq_top (R) [NonUnitalCommSemiring R] : center R = ⊤ :=
SetLike.coe_injective (Set.center_eq_univ R)
end NonUnitalSemiring
section Centralizer
/-- The centralizer of a set as non-unital subsemiring. -/
def centralizer {R} [NonUnitalSemiring R] (s : Set R) : NonUnitalSubsemiring R :=
{ Subsemigroup.centralizer s with
carrier := s.centralizer
zero_mem' := Set.zero_mem_centralizer
add_mem' := Set.add_mem_centralizer }
@[simp, norm_cast]
theorem coe_centralizer {R} [NonUnitalSemiring R] (s : Set R) :
(centralizer s : Set R) = s.centralizer :=
rfl
theorem centralizer_toSubsemigroup {R} [NonUnitalSemiring R] (s : Set R) :
(centralizer s).toSubsemigroup = Subsemigroup.centralizer s :=
rfl
theorem mem_centralizer_iff {R} [NonUnitalSemiring R] {s : Set R} {z : R} :
z ∈ centralizer s ↔ ∀ g ∈ s, g * z = z * g :=
Iff.rfl
theorem center_le_centralizer {R} [NonUnitalSemiring R] (s) : center R ≤ centralizer s :=
s.center_subset_centralizer
theorem centralizer_le {R} [NonUnitalSemiring R] (s t : Set R) (h : s ⊆ t) :
centralizer t ≤ centralizer s :=
Set.centralizer_subset h
@[simp]
theorem centralizer_eq_top_iff_subset {R} [NonUnitalSemiring R] {s : Set R} :
centralizer s = ⊤ ↔ s ⊆ center R :=
SetLike.ext'_iff.trans Set.centralizer_eq_top_iff_subset
@[simp]
theorem centralizer_univ {R} [NonUnitalSemiring R] : centralizer Set.univ = center R :=
SetLike.ext' (Set.centralizer_univ R)
end Centralizer
/-- The `NonUnitalSubsemiring` generated by a set. -/
def closure (s : Set R) : NonUnitalSubsemiring R :=
sInf { S | s ⊆ S }
theorem mem_closure {x : R} {s : Set R} :
x ∈ closure s ↔ ∀ S : NonUnitalSubsemiring R, s ⊆ S → x ∈ S :=
mem_sInf
/-- The non-unital subsemiring generated by a set includes the set. -/
@[simp, aesop safe 20 apply (rule_sets := [SetLike])]
theorem subset_closure {s : Set R} : s ⊆ closure s := fun _ hx => mem_closure.2 fun _ hS => hS hx
theorem not_mem_of_not_mem_closure {s : Set R} {P : R} (hP : P ∉ closure s) : P ∉ s := fun h =>
hP (subset_closure h)
/-- A non-unital subsemiring `S` includes `closure s` if and only if it includes `s`. -/
@[simp]
theorem closure_le {s : Set R} {t : NonUnitalSubsemiring R} : closure s ≤ t ↔ s ⊆ t :=
⟨Set.Subset.trans subset_closure, fun h => sInf_le h⟩
/-- Subsemiring closure of a set is monotone in its argument: if `s ⊆ t`,
then `closure s ≤ closure t`. -/
@[gcongr]
theorem closure_mono ⦃s t : Set R⦄ (h : s ⊆ t) : closure s ≤ closure t :=
closure_le.2 <| Set.Subset.trans h subset_closure
theorem closure_eq_of_le {s : Set R} {t : NonUnitalSubsemiring R} (h₁ : s ⊆ t)
(h₂ : t ≤ closure s) : closure s = t :=
le_antisymm (closure_le.2 h₁) h₂
lemma closure_le_centralizer_centralizer {R : Type*} [NonUnitalSemiring R] (s : Set R) :
closure s ≤ centralizer (centralizer s) :=
closure_le.mpr Set.subset_centralizer_centralizer
/-- If all the elements of a set `s` commute, then `closure s` is a non-unital commutative
semiring. -/
abbrev closureNonUnitalCommSemiringOfComm {R : Type*} [NonUnitalSemiring R] {s : Set R}
(hcomm : ∀ x ∈ s, ∀ y ∈ s, x * y = y * x) : NonUnitalCommSemiring (closure s) :=
{ NonUnitalSubsemiringClass.toNonUnitalSemiring (closure s) with
mul_comm := fun ⟨_, h₁⟩ ⟨_, h₂⟩ ↦
have := closure_le_centralizer_centralizer s
Subtype.ext <| Set.centralizer_centralizer_comm_of_comm hcomm _ (this h₁) _ (this h₂) }
variable [NonUnitalNonAssocSemiring S]
theorem mem_map_equiv {f : R ≃+* S} {K : NonUnitalSubsemiring R} {x : S} :
x ∈ K.map (f : R →ₙ+* S) ↔ f.symm x ∈ K := by
convert @Set.mem_image_equiv _ _ (↑K) f.toEquiv x
theorem map_equiv_eq_comap_symm (f : R ≃+* S) (K : NonUnitalSubsemiring R) :
K.map (f : R →ₙ+* S) = K.comap f.symm :=
SetLike.coe_injective (f.toEquiv.image_eq_preimage K)
theorem comap_equiv_eq_map_symm (f : R ≃+* S) (K : NonUnitalSubsemiring S) :
K.comap (f : R →ₙ+* S) = K.map f.symm :=
(map_equiv_eq_comap_symm f.symm K).symm
end NonUnitalSubsemiring
namespace Subsemigroup
/-- The additive closure of a non-unital subsemigroup is a non-unital subsemiring. -/
def nonUnitalSubsemiringClosure (M : Subsemigroup R) : NonUnitalSubsemiring R :=
{ AddSubmonoid.closure (M : Set R) with mul_mem' := MulMemClass.mul_mem_add_closure }
theorem nonUnitalSubsemiringClosure_coe :
(M.nonUnitalSubsemiringClosure : Set R) = AddSubmonoid.closure (M : Set R) :=
rfl
theorem nonUnitalSubsemiringClosure_toAddSubmonoid :
M.nonUnitalSubsemiringClosure.toAddSubmonoid = AddSubmonoid.closure (M : Set R) :=
rfl
/-- The `NonUnitalSubsemiring` generated by a multiplicative subsemigroup coincides with the
`NonUnitalSubsemiring.closure` of the subsemigroup itself . -/
theorem nonUnitalSubsemiringClosure_eq_closure :
M.nonUnitalSubsemiringClosure = NonUnitalSubsemiring.closure (M : Set R) := by
ext
refine ⟨fun hx => ?_,
fun hx => (NonUnitalSubsemiring.mem_closure.mp hx) M.nonUnitalSubsemiringClosure fun s sM => ?_⟩
<;> rintro - ⟨H1, rfl⟩
<;> rintro - ⟨H2, rfl⟩
· exact AddSubmonoid.mem_closure.mp hx H1.toAddSubmonoid H2
· exact H2 sM
end Subsemigroup
namespace NonUnitalSubsemiring
@[simp]
theorem closure_subsemigroup_closure (s : Set R) : closure ↑(Subsemigroup.closure s) = closure s :=
le_antisymm
(closure_le.mpr fun _ hy =>
(Subsemigroup.mem_closure.mp hy) (closure s).toSubsemigroup subset_closure)
(closure_mono Subsemigroup.subset_closure)
/-- The elements of the non-unital subsemiring closure of `M` are exactly the elements of the
additive closure of a multiplicative subsemigroup `M`. -/
theorem coe_closure_eq (s : Set R) :
(closure s : Set R) = AddSubmonoid.closure (Subsemigroup.closure s : Set R) := by
simp [← Subsemigroup.nonUnitalSubsemiringClosure_toAddSubmonoid,
Subsemigroup.nonUnitalSubsemiringClosure_eq_closure]
theorem mem_closure_iff {s : Set R} {x} :
x ∈ closure s ↔ x ∈ AddSubmonoid.closure (Subsemigroup.closure s : Set R) :=
Set.ext_iff.mp (coe_closure_eq s) x
@[simp]
theorem closure_addSubmonoid_closure {s : Set R} :
closure ↑(AddSubmonoid.closure s) = closure s := by
ext x
refine ⟨fun hx => ?_, fun hx => closure_mono AddSubmonoid.subset_closure hx⟩
rintro - ⟨H, rfl⟩
rintro - ⟨J, rfl⟩
refine (AddSubmonoid.mem_closure.mp (mem_closure_iff.mp hx)) H.toAddSubmonoid fun y hy => ?_
refine (Subsemigroup.mem_closure.mp hy) H.toSubsemigroup fun z hz => ?_
exact (AddSubmonoid.mem_closure.mp hz) H.toAddSubmonoid fun w hw => J hw
/-- An induction principle for closure membership. If `p` holds for `0`, `1`, and all elements
of `s`, and is preserved under addition and multiplication, then `p` holds for all elements
of the closure of `s`. -/
@[elab_as_elim]
theorem closure_induction {s : Set R} {p : (x : R) → x ∈ closure s → Prop}
(mem : ∀ (x) (hx : x ∈ s), p x (subset_closure hx)) (zero : p 0 (zero_mem _))
(add : ∀ x y hx hy, p x hx → p y hy → p (x + y) (add_mem hx hy))
(mul : ∀ x y hx hy, p x hx → p y hy → p (x * y) (mul_mem hx hy))
{x} (hx : x ∈ closure s) : p x hx :=
let K : NonUnitalSubsemiring R :=
{ carrier := { x | ∃ hx, p x hx }
mul_mem' := fun ⟨_, hpx⟩ ⟨_, hpy⟩ ↦ ⟨_, mul _ _ _ _ hpx hpy⟩
add_mem' := fun ⟨_, hpx⟩ ⟨_, hpy⟩ ↦ ⟨_, add _ _ _ _ hpx hpy⟩
zero_mem' := ⟨_, zero⟩ }
closure_le (t := K) |>.mpr (fun y hy ↦ ⟨subset_closure hy, mem y hy⟩) hx |>.elim fun _ ↦ id
/-- An induction principle for closure membership for predicates with two arguments. -/
@[elab_as_elim]
theorem closure_induction₂ {s : Set R} {p : (x y : R) → x ∈ closure s → y ∈ closure s → Prop}
(mem_mem : ∀ (x) (hx : x ∈ s) (y) (hy : y ∈ s), p x y (subset_closure hx) (subset_closure hy))
(zero_left : ∀ x hx, p 0 x (zero_mem _) hx) (zero_right : ∀ x hx, p x 0 hx (zero_mem _))
(add_left : ∀ x y z hx hy hz, p x z hx hz → p y z hy hz → p (x + y) z (add_mem hx hy) hz)
(add_right : ∀ x y z hx hy hz, p x y hx hy → p x z hx hz → p x (y + z) hx (add_mem hy hz))
(mul_left : ∀ x y z hx hy hz, p x z hx hz → p y z hy hz → p (x * y) z (mul_mem hx hy) hz)
(mul_right : ∀ x y z hx hy hz, p x y hx hy → p x z hx hz → p x (y * z) hx (mul_mem hy hz))
{x y : R} (hx : x ∈ closure s) (hy : y ∈ closure s) :
p x y hx hy := by
induction hy using closure_induction with
| mem z hz => induction hx using closure_induction with
| mem _ h => exact mem_mem _ h _ hz
| zero => exact zero_left _ _
| mul _ _ _ _ h₁ h₂ => exact mul_left _ _ _ _ _ _ h₁ h₂
| add _ _ _ _ h₁ h₂ => exact add_left _ _ _ _ _ _ h₁ h₂
| zero => exact zero_right x hx
| mul _ _ _ _ h₁ h₂ => exact mul_right _ _ _ _ _ _ h₁ h₂
| add _ _ _ _ h₁ h₂ => exact add_right _ _ _ _ _ _ h₁ h₂
variable (R) in
/-- `closure` forms a Galois insertion with the coercion to set. -/
protected def gi : GaloisInsertion (@closure R _) (↑) where
choice s _ := closure s
gc _ _ := closure_le
le_l_u _ := subset_closure
choice_eq _ _ := rfl
variable [NonUnitalNonAssocSemiring S]
variable {F : Type*} [FunLike F R S] [NonUnitalRingHomClass F R S]
/-- Closure of a non-unital subsemiring `S` equals `S`. -/
@[simp]
theorem closure_eq (s : NonUnitalSubsemiring R) : closure (s : Set R) = s :=
(NonUnitalSubsemiring.gi R).l_u_eq s
@[simp]
theorem closure_empty : closure (∅ : Set R) = ⊥ :=
(NonUnitalSubsemiring.gi R).gc.l_bot
@[simp]
theorem closure_univ : closure (Set.univ : Set R) = ⊤ :=
@coe_top R _ ▸ closure_eq ⊤
theorem closure_union (s t : Set R) : closure (s ∪ t) = closure s ⊔ closure t :=
(NonUnitalSubsemiring.gi R).gc.l_sup
theorem closure_iUnion {ι} (s : ι → Set R) : closure (⋃ i, s i) = ⨆ i, closure (s i) :=
(NonUnitalSubsemiring.gi R).gc.l_iSup
theorem closure_sUnion (s : Set (Set R)) : closure (⋃₀ s) = ⨆ t ∈ s, closure t :=
(NonUnitalSubsemiring.gi R).gc.l_sSup
theorem map_sup (s t : NonUnitalSubsemiring R) (f : F) :
(map f (s ⊔ t) : NonUnitalSubsemiring S) = map f s ⊔ map f t :=
@GaloisConnection.l_sup _ _ s t _ _ _ _ (gc_map_comap f)
theorem map_iSup {ι : Sort*} (f : F) (s : ι → NonUnitalSubsemiring R) :
(map f (iSup s) : NonUnitalSubsemiring S) = ⨆ i, map f (s i) :=
@GaloisConnection.l_iSup _ _ _ _ _ _ _ (gc_map_comap f) s
theorem map_inf (s t : NonUnitalSubsemiring R) (f : F) (hf : Function.Injective f) :
(map f (s ⊓ t) : NonUnitalSubsemiring S) = map f s ⊓ map f t :=
SetLike.coe_injective (Set.image_inter hf)
theorem map_iInf {ι : Sort*} [Nonempty ι] (f : F) (hf : Function.Injective f)
(s : ι → NonUnitalSubsemiring R) :
(map f (iInf s) : NonUnitalSubsemiring S) = ⨅ i, map f (s i) := by
apply SetLike.coe_injective
simpa using (Set.injOn_of_injective hf).image_iInter_eq (s := SetLike.coe ∘ s)
theorem comap_inf (s t : NonUnitalSubsemiring S) (f : F) :
(comap f (s ⊓ t) : NonUnitalSubsemiring R) = comap f s ⊓ comap f t :=
@GaloisConnection.u_inf _ _ s t _ _ _ _ (gc_map_comap f)
theorem comap_iInf {ι : Sort*} (f : F) (s : ι → NonUnitalSubsemiring S) :
(comap f (iInf s) : NonUnitalSubsemiring R) = ⨅ i, comap f (s i) :=
@GaloisConnection.u_iInf _ _ _ _ _ _ _ (gc_map_comap f) s
@[simp]
theorem map_bot (f : F) : map f (⊥ : NonUnitalSubsemiring R) = (⊥ : NonUnitalSubsemiring S) :=
(gc_map_comap f).l_bot
@[simp]
theorem comap_top (f : F) : comap f (⊤ : NonUnitalSubsemiring S) = (⊤ : NonUnitalSubsemiring R) :=
(gc_map_comap f).u_top
/-- Given `NonUnitalSubsemiring`s `s`, `t` of semirings `R`, `S` respectively, `s.prod t` is
`s × t` as a non-unital subsemiring of `R × S`. -/
def prod (s : NonUnitalSubsemiring R) (t : NonUnitalSubsemiring S) : NonUnitalSubsemiring (R × S) :=
{ s.toSubsemigroup.prod t.toSubsemigroup, s.toAddSubmonoid.prod t.toAddSubmonoid with
carrier := (s : Set R) ×ˢ (t : Set S) }
@[norm_cast]
theorem coe_prod (s : NonUnitalSubsemiring R) (t : NonUnitalSubsemiring S) :
(s.prod t : Set (R × S)) = (s : Set R) ×ˢ (t : Set S) :=
rfl
theorem mem_prod {s : NonUnitalSubsemiring R} {t : NonUnitalSubsemiring S} {p : R × S} :
p ∈ s.prod t ↔ p.1 ∈ s ∧ p.2 ∈ t :=
Iff.rfl
@[mono]
theorem prod_mono ⦃s₁ s₂ : NonUnitalSubsemiring R⦄ (hs : s₁ ≤ s₂) ⦃t₁ t₂ : NonUnitalSubsemiring S⦄
(ht : t₁ ≤ t₂) : s₁.prod t₁ ≤ s₂.prod t₂ :=
Set.prod_mono hs ht
theorem prod_mono_right (s : NonUnitalSubsemiring R) :
Monotone fun t : NonUnitalSubsemiring S => s.prod t :=
prod_mono (le_refl s)
theorem prod_mono_left (t : NonUnitalSubsemiring S) :
Monotone fun s : NonUnitalSubsemiring R => s.prod t := fun _ _ hs => prod_mono hs (le_refl t)
theorem prod_top (s : NonUnitalSubsemiring R) :
s.prod (⊤ : NonUnitalSubsemiring S) = s.comap (NonUnitalRingHom.fst R S) :=
ext fun x => by simp [mem_prod, MonoidHom.coe_fst]
theorem top_prod (s : NonUnitalSubsemiring S) :
(⊤ : NonUnitalSubsemiring R).prod s = s.comap (NonUnitalRingHom.snd R S) :=
ext fun x => by simp [mem_prod, MonoidHom.coe_snd]
@[simp]
theorem top_prod_top : (⊤ : NonUnitalSubsemiring R).prod (⊤ : NonUnitalSubsemiring S) = ⊤ :=
(top_prod _).trans <| comap_top _
/-- Product of non-unital subsemirings is isomorphic to their product as semigroups. -/
def prodEquiv (s : NonUnitalSubsemiring R) (t : NonUnitalSubsemiring S) : s.prod t ≃+* s × t :=
{ Equiv.Set.prod (s : Set R) (t : Set S) with
map_mul' := fun _ _ => rfl
map_add' := fun _ _ => rfl }
theorem mem_iSup_of_directed {ι} [hι : Nonempty ι] {S : ι → NonUnitalSubsemiring R}
(hS : Directed (· ≤ ·) S) {x : R} : (x ∈ ⨆ i, S i) ↔ ∃ i, x ∈ S i := by
refine ⟨?_, fun ⟨i, hi⟩ ↦ le_iSup S i hi⟩
let U : NonUnitalSubsemiring R :=
NonUnitalSubsemiring.mk' (⋃ i, (S i : Set R))
(⨆ i, (S i).toSubsemigroup) (Subsemigroup.coe_iSup_of_directed hS)
(⨆ i, (S i).toAddSubmonoid) (AddSubmonoid.coe_iSup_of_directed hS)
-- Porting note `@this` doesn't work
suffices H : ⨆ i, S i ≤ U by simpa [U] using @H x
exact iSup_le fun i x hx => Set.mem_iUnion.2 ⟨i, hx⟩
theorem coe_iSup_of_directed {ι} [hι : Nonempty ι] {S : ι → NonUnitalSubsemiring R}
(hS : Directed (· ≤ ·) S) : ((⨆ i, S i : NonUnitalSubsemiring R) : Set R) = ⋃ i, S i :=
Set.ext fun x ↦ by simp [mem_iSup_of_directed hS]
theorem mem_sSup_of_directedOn {S : Set (NonUnitalSubsemiring R)} (Sne : S.Nonempty)
(hS : DirectedOn (· ≤ ·) S) {x : R} : x ∈ sSup S ↔ ∃ s ∈ S, x ∈ s := by
haveI : Nonempty S := Sne.to_subtype
simp only [sSup_eq_iSup', mem_iSup_of_directed hS.directed_val, Subtype.exists, exists_prop]
theorem coe_sSup_of_directedOn {S : Set (NonUnitalSubsemiring R)} (Sne : S.Nonempty)
(hS : DirectedOn (· ≤ ·) S) : (↑(sSup S) : Set R) = ⋃ s ∈ S, ↑s :=
Set.ext fun x => by simp [mem_sSup_of_directedOn Sne hS]
end NonUnitalSubsemiring
namespace NonUnitalRingHom
variable {F : Type*} [FunLike F R S]
theorem eq_of_eqOn_stop {f g : F}
(h : Set.EqOn (f : R → S) (g : R → S) (⊤ : NonUnitalSubsemiring R)) : f = g :=
DFunLike.ext _ _ fun _ => h trivial
variable [NonUnitalNonAssocSemiring S] [NonUnitalNonAssocSemiring T]
[NonUnitalRingHomClass F R S]
{S' : Type*} [SetLike S' S] [NonUnitalSubsemiringClass S' S]
{s : NonUnitalSubsemiring R}
open NonUnitalSubsemiringClass NonUnitalSubsemiring
/-- Restriction of a non-unital ring homomorphism to its range interpreted as a
non-unital subsemiring.
This is the bundled version of `Set.rangeFactorization`. -/
def srangeRestrict (f : F) : R →ₙ+* (srange f : NonUnitalSubsemiring S) :=
codRestrict f (srange f) (mem_srange_self f)
@[simp]
theorem coe_srangeRestrict (f : F) (x : R) : (srangeRestrict f x : S) = f x :=
rfl
theorem srangeRestrict_surjective (f : F) :
Function.Surjective (srangeRestrict f : R → (srange f : NonUnitalSubsemiring S)) :=
fun ⟨_, hy⟩ =>
let ⟨x, hx⟩ := mem_srange.mp hy
⟨x, Subtype.ext hx⟩
theorem srange_eq_top_iff_surjective {f : F} :
srange f = (⊤ : NonUnitalSubsemiring S) ↔ Function.Surjective (f : R → S) :=
SetLike.ext'_iff.trans <| Iff.trans (by rw [coe_srange, coe_top]) Set.range_eq_univ
@[deprecated (since := "2024-11-11")]
alias srange_top_iff_surjective := srange_eq_top_iff_surjective
/-- The range of a surjective non-unital ring homomorphism is the whole of the codomain. -/
@[simp]
theorem srange_eq_top_of_surjective (f : F) (hf : Function.Surjective (f : R → S)) :
srange f = (⊤ : NonUnitalSubsemiring S) :=
srange_eq_top_iff_surjective.2 hf
@[deprecated (since := "2024-11-11")] alias srange_top_of_surjective := srange_eq_top_of_surjective
/-- If two non-unital ring homomorphisms are equal on a set, then they are equal on its
non-unital subsemiring closure. -/
theorem eqOn_sclosure {f g : F} {s : Set R} (h : Set.EqOn (f : R → S) (g : R → S) s) :
Set.EqOn f g (closure s) :=
show closure s ≤ eqSlocus f g from closure_le.2 h
theorem eq_of_eqOn_sdense {s : Set R} (hs : closure s = ⊤) {f g : F}
(h : s.EqOn (f : R → S) (g : R → S)) : f = g :=
eq_of_eqOn_stop <| hs ▸ eqOn_sclosure h
theorem sclosure_preimage_le (f : F) (s : Set S) :
closure ((f : R → S) ⁻¹' s) ≤ (closure s).comap f :=
closure_le.2 fun _ hx => SetLike.mem_coe.2 <| mem_comap.2 <| subset_closure hx
/-- The image under a ring homomorphism of the subsemiring generated by a set equals
the subsemiring generated by the image of the set. -/
theorem map_sclosure (f : F) (s : Set R) : (closure s).map f = closure ((f : R → S) '' s) :=
Set.image_preimage.l_comm_of_u_comm (gc_map_comap f) (NonUnitalSubsemiring.gi S).gc
(NonUnitalSubsemiring.gi R).gc fun _ ↦ rfl
end NonUnitalRingHom
namespace NonUnitalSubsemiring
open NonUnitalRingHom NonUnitalSubsemiringClass
@[simp]
theorem srange_subtype (s : NonUnitalSubsemiring R) : NonUnitalRingHom.srange (subtype s) = s :=
SetLike.coe_injective <| (coe_srange _).trans Subtype.range_coe
variable [NonUnitalNonAssocSemiring S]
@[simp]
theorem range_fst : NonUnitalRingHom.srange (fst R S) = ⊤ :=
NonUnitalRingHom.srange_eq_top_of_surjective (fst R S) Prod.fst_surjective
@[simp]
theorem range_snd : NonUnitalRingHom.srange (snd R S) = ⊤ :=
NonUnitalRingHom.srange_eq_top_of_surjective (snd R S) <| Prod.snd_surjective
end NonUnitalSubsemiring
namespace RingEquiv
open NonUnitalRingHom NonUnitalSubsemiringClass
variable {s t : NonUnitalSubsemiring R}
variable [NonUnitalNonAssocSemiring S] {F : Type*} [FunLike F R S] [NonUnitalRingHomClass F R S]
/-- Makes the identity isomorphism from a proof two non-unital subsemirings of a multiplicative
monoid are equal. -/
def nonUnitalSubsemiringCongr (h : s = t) : s ≃+* t :=
{ Equiv.setCongr <| congr_arg _ h with
map_mul' := fun _ _ => rfl
map_add' := fun _ _ => rfl }
/-- Restrict a non-unital ring homomorphism with a left inverse to a ring isomorphism to its
`NonUnitalRingHom.srange`. -/
def sofLeftInverse' {g : S → R} {f : F} (h : Function.LeftInverse g f) : R ≃+* srange f :=
{ srangeRestrict f with
toFun := srangeRestrict f
invFun := fun x => g (subtype (srange f) x)
left_inv := h
right_inv := fun x =>
Subtype.ext <|
let ⟨x', hx'⟩ := NonUnitalRingHom.mem_srange.mp x.prop
show f (g x) = x by rw [← hx', h x'] }
@[simp]
theorem sofLeftInverse'_apply {g : S → R} {f : F} (h : Function.LeftInverse g f) (x : R) :
↑(sofLeftInverse' h x) = f x :=
rfl
@[simp]
theorem sofLeftInverse'_symm_apply {g : S → R} {f : F} (h : Function.LeftInverse g f)
(x : srange f) : (sofLeftInverse' h).symm x = g x :=
rfl
/-- Given an equivalence `e : R ≃+* S` of non-unital semirings and a non-unital subsemiring
`s` of `R`, `non_unital_subsemiring_map e s` is the induced equivalence between `s` and
`s.map e` -/
@[simps!]
def nonUnitalSubsemiringMap (e : R ≃+* S) (s : NonUnitalSubsemiring R) :
s ≃+* NonUnitalSubsemiring.map e.toNonUnitalRingHom s :=
{ e.toAddEquiv.addSubmonoidMap s.toAddSubmonoid,
e.toMulEquiv.subsemigroupMap s.toSubsemigroup with }
end RingEquiv
| Mathlib/RingTheory/NonUnitalSubsemiring/Basic.lean | 853 | 862 | |
/-
Copyright (c) 2022 Anatole Dedecker. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Anatole Dedecker
-/
import Mathlib.Analysis.InnerProductSpace.Adjoint
/-!
# Positive operators
In this file we define positive operators in a Hilbert space. We follow Bourbaki's choice
of requiring self adjointness in the definition.
## Main definitions
* `IsPositive` : a continuous linear map is positive if it is self adjoint and
`∀ x, 0 ≤ re ⟪T x, x⟫`
## Main statements
* `ContinuousLinearMap.IsPositive.conj_adjoint` : if `T : E →L[𝕜] E` is positive,
then for any `S : E →L[𝕜] F`, `S ∘L T ∘L S†` is also positive.
* `ContinuousLinearMap.isPositive_iff_complex` : in a ***complex*** Hilbert space,
checking that `⟪T x, x⟫` is a nonnegative real number for all `x` suffices to prove that
`T` is positive
## References
* [Bourbaki, *Topological Vector Spaces*][bourbaki1987]
## Tags
Positive operator
-/
open InnerProductSpace RCLike ContinuousLinearMap
open scoped InnerProduct ComplexConjugate
namespace ContinuousLinearMap
variable {𝕜 E F : Type*} [RCLike 𝕜]
variable [NormedAddCommGroup E] [NormedAddCommGroup F]
variable [InnerProductSpace 𝕜 E] [InnerProductSpace 𝕜 F]
variable [CompleteSpace E] [CompleteSpace F]
local notation "⟪" x ", " y "⟫" => @inner 𝕜 _ _ x y
/-- A continuous linear endomorphism `T` of a Hilbert space is **positive** if it is self adjoint
and `∀ x, 0 ≤ re ⟪T x, x⟫`. -/
def IsPositive (T : E →L[𝕜] E) : Prop :=
IsSelfAdjoint T ∧ ∀ x, 0 ≤ T.reApplyInnerSelf x
theorem IsPositive.isSelfAdjoint {T : E →L[𝕜] E} (hT : IsPositive T) : IsSelfAdjoint T :=
hT.1
theorem IsPositive.inner_nonneg_left {T : E →L[𝕜] E} (hT : IsPositive T) (x : E) :
0 ≤ re ⟪T x, x⟫ :=
hT.2 x
theorem IsPositive.inner_nonneg_right {T : E →L[𝕜] E} (hT : IsPositive T) (x : E) :
0 ≤ re ⟪x, T x⟫ := by rw [inner_re_symm]; exact hT.inner_nonneg_left x
theorem isPositive_zero : IsPositive (0 : E →L[𝕜] E) := by
refine ⟨.zero _, fun x => ?_⟩
change 0 ≤ re ⟪_, _⟫
rw [zero_apply, inner_zero_left, ZeroHomClass.map_zero]
theorem isPositive_one : IsPositive (1 : E →L[𝕜] E) :=
⟨.one _, fun _ => inner_self_nonneg⟩
theorem IsPositive.add {T S : E →L[𝕜] E} (hT : T.IsPositive) (hS : S.IsPositive) :
(T + S).IsPositive := by
refine ⟨hT.isSelfAdjoint.add hS.isSelfAdjoint, fun x => ?_⟩
rw [reApplyInnerSelf, add_apply, inner_add_left, map_add]
exact add_nonneg (hT.inner_nonneg_left x) (hS.inner_nonneg_left x)
theorem IsPositive.conj_adjoint {T : E →L[𝕜] E} (hT : T.IsPositive) (S : E →L[𝕜] F) :
(S ∘L T ∘L S†).IsPositive := by
| refine ⟨hT.isSelfAdjoint.conj_adjoint S, fun x => ?_⟩
rw [reApplyInnerSelf, comp_apply, ← adjoint_inner_right]
exact hT.inner_nonneg_left _
theorem IsPositive.adjoint_conj {T : E →L[𝕜] E} (hT : T.IsPositive) (S : F →L[𝕜] E) :
| Mathlib/Analysis/InnerProductSpace/Positive.lean | 81 | 85 |
/-
Copyright (c) 2021 Yaël Dillies. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yaël Dillies
-/
import Mathlib.Data.Finset.Grade
import Mathlib.Data.Finset.Powerset
import Mathlib.Order.Interval.Finset.Basic
/-!
# Intervals of finsets as finsets
This file provides the `LocallyFiniteOrder` instance for `Finset α` and calculates the cardinality
of finite intervals of finsets.
If `s t : Finset α`, then `Finset.Icc s t` is the finset of finsets which include `s` and are
included in `t`. For example,
`Finset.Icc {0, 1} {0, 1, 2, 3} = {{0, 1}, {0, 1, 2}, {0, 1, 3}, {0, 1, 2, 3}}`
and
`Finset.Icc {0, 1, 2} {0, 1, 3} = {}`.
In addition, this file gives characterizations of monotone and strictly monotone functions
out of `Finset α` in terms of `Finset.insert`
-/
variable {α β : Type*}
namespace Finset
section Decidable
variable [DecidableEq α] (s t : Finset α)
instance instLocallyFiniteOrder : LocallyFiniteOrder (Finset α) where
finsetIcc s t := {u ∈ t.powerset | s ⊆ u}
finsetIco s t := {u ∈ t.ssubsets | s ⊆ u}
finsetIoc s t := {u ∈ t.powerset | s ⊂ u}
finsetIoo s t := {u ∈ t.ssubsets | s ⊂ u}
finset_mem_Icc s t u := by
rw [mem_filter, mem_powerset]
exact and_comm
finset_mem_Ico s t u := by
rw [mem_filter, mem_ssubsets]
exact and_comm
finset_mem_Ioc s t u := by
rw [mem_filter, mem_powerset]
exact and_comm
finset_mem_Ioo s t u := by
rw [mem_filter, mem_ssubsets]
exact and_comm
theorem Icc_eq_filter_powerset : Icc s t = {u ∈ t.powerset | s ⊆ u} :=
rfl
theorem Ico_eq_filter_ssubsets : Ico s t = {u ∈ t.ssubsets | s ⊆ u} :=
rfl
theorem Ioc_eq_filter_powerset : Ioc s t = {u ∈ t.powerset | s ⊂ u} :=
rfl
theorem Ioo_eq_filter_ssubsets : Ioo s t = {u ∈ t.ssubsets | s ⊂ u} :=
rfl
theorem Iic_eq_powerset : Iic s = s.powerset :=
filter_true_of_mem fun t _ => empty_subset t
theorem Iio_eq_ssubsets : Iio s = s.ssubsets :=
filter_true_of_mem fun t _ => empty_subset t
variable {s t}
theorem Icc_eq_image_powerset (h : s ⊆ t) : Icc s t = (t \ s).powerset.image (s ∪ ·) := by
ext u
simp_rw [mem_Icc, mem_image, mem_powerset]
constructor
· rintro ⟨hs, ht⟩
exact ⟨u \ s, sdiff_le_sdiff_right ht, sup_sdiff_cancel_right hs⟩
· rintro ⟨v, hv, rfl⟩
exact ⟨le_sup_left, union_subset h <| hv.trans sdiff_subset⟩
theorem Ico_eq_image_ssubsets (h : s ⊆ t) : Ico s t = (t \ s).ssubsets.image (s ∪ ·) := by
ext u
simp_rw [mem_Ico, mem_image, mem_ssubsets]
constructor
· rintro ⟨hs, ht⟩
exact ⟨u \ s, sdiff_lt_sdiff_right ht hs, sup_sdiff_cancel_right hs⟩
· rintro ⟨v, hv, rfl⟩
exact ⟨le_sup_left, sup_lt_of_lt_sdiff_left hv h⟩
/-- Cardinality of a non-empty `Icc` of finsets. -/
theorem card_Icc_finset (h : s ⊆ t) : (Icc s t).card = 2 ^ (t.card - s.card) := by
rw [← card_sdiff h, ← card_powerset, Icc_eq_image_powerset h, Finset.card_image_iff]
rintro u hu v hv (huv : s ⊔ u = s ⊔ v)
rw [mem_coe, mem_powerset] at hu hv
rw [← (disjoint_sdiff.mono_right hu : Disjoint s u).sup_sdiff_cancel_left, ←
(disjoint_sdiff.mono_right hv : Disjoint s v).sup_sdiff_cancel_left, huv]
/-- Cardinality of an `Ico` of finsets. -/
theorem card_Ico_finset (h : s ⊆ t) : (Ico s t).card = 2 ^ (t.card - s.card) - 1 := by
rw [card_Ico_eq_card_Icc_sub_one, card_Icc_finset h]
/-- Cardinality of an `Ioc` of finsets. -/
theorem card_Ioc_finset (h : s ⊆ t) : (Ioc s t).card = 2 ^ (t.card - s.card) - 1 := by
rw [card_Ioc_eq_card_Icc_sub_one, card_Icc_finset h]
/-- Cardinality of an `Ioo` of finsets. -/
theorem card_Ioo_finset (h : s ⊆ t) : (Ioo s t).card = 2 ^ (t.card - s.card) - 2 := by
rw [card_Ioo_eq_card_Icc_sub_two, card_Icc_finset h]
/-- Cardinality of an `Iic` of finsets. -/
theorem card_Iic_finset : (Iic s).card = 2 ^ s.card := by rw [Iic_eq_powerset, card_powerset]
/-- Cardinality of an `Iio` of finsets. -/
theorem card_Iio_finset : (Iio s).card = 2 ^ s.card - 1 := by
rw [Iio_eq_ssubsets, ssubsets, card_erase_of_mem (mem_powerset_self _), card_powerset]
end Decidable
variable [Preorder β] {s t : Finset α} {f : Finset α → β}
section Cons
/-- A function `f` from `Finset α` is monotone if and only if `f s ≤ f (cons a s ha)` for all `s`
and `a ∉ s`. -/
lemma monotone_iff_forall_le_cons : Monotone f ↔ ∀ s, ∀ ⦃a⦄ (ha), f s ≤ f (cons a s ha) := by
classical simp [monotone_iff_forall_covBy, covBy_iff_exists_cons]
| /-- A function `f` from `Finset α` is antitone if and only if `f (cons a s ha) ≤ f s` for all
`s` and `a ∉ s`. -/
| Mathlib/Data/Finset/Interval.lean | 129 | 130 |
/-
Copyright (c) 2018 Mario Carneiro. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Mario Carneiro, Chris Hughes, Floris van Doorn, Yaël Dillies
-/
import Mathlib.Data.Nat.Basic
import Mathlib.Tactic.GCongr.CoreAttrs
import Mathlib.Tactic.Common
import Mathlib.Tactic.Monotonicity.Attr
/-!
# Factorial and variants
This file defines the factorial, along with the ascending and descending variants.
For the proof that the factorial of `n` counts the permutations of an `n`-element set,
see `Fintype.card_perm`.
## Main declarations
* `Nat.factorial`: The factorial.
* `Nat.ascFactorial`: The ascending factorial. It is the product of natural numbers from `n` to
`n + k - 1`.
* `Nat.descFactorial`: The descending factorial. It is the product of natural numbers from
`n - k + 1` to `n`.
-/
namespace Nat
/-- `Nat.factorial n` is the factorial of `n`. -/
def factorial : ℕ → ℕ
| 0 => 1
| succ n => succ n * factorial n
/-- factorial notation `(n)!` for `Nat.factorial n`.
In Lean, names can end with exclamation marks (e.g. `List.get!`), so you cannot write
`n!` in Lean, but must write `(n)!` or `n !` instead. The former is preferred, since
Lean can confuse the `!` in `n !` as the (prefix) boolean negation operation in some
cases.
For numerals the parentheses are not required, so e.g. `0!` or `1!` work fine.
Todo: replace occurrences of `n !` with `(n)!` in Mathlib. -/
scoped notation:10000 n "!" => Nat.factorial n
section Factorial
variable {m n : ℕ}
@[simp] theorem factorial_zero : 0! = 1 :=
rfl
theorem factorial_succ (n : ℕ) : (n + 1)! = (n + 1) * n ! :=
rfl
@[simp] theorem factorial_one : 1! = 1 :=
rfl
@[simp] theorem factorial_two : 2! = 2 :=
rfl
theorem mul_factorial_pred (hn : n ≠ 0) : n * (n - 1)! = n ! :=
Nat.sub_add_cancel (one_le_iff_ne_zero.mpr hn) ▸ rfl
theorem factorial_pos : ∀ n, 0 < n !
| 0 => Nat.zero_lt_one
| succ n => Nat.mul_pos (succ_pos _) (factorial_pos n)
theorem factorial_ne_zero (n : ℕ) : n ! ≠ 0 :=
ne_of_gt (factorial_pos _)
theorem factorial_dvd_factorial {m n} (h : m ≤ n) : m ! ∣ n ! := by
induction h with
| refl => exact Nat.dvd_refl _
| step _ ih => exact Nat.dvd_trans ih (Nat.dvd_mul_left _ _)
theorem dvd_factorial : ∀ {m n}, 0 < m → m ≤ n → m ∣ n !
| succ _, _, _, h => Nat.dvd_trans (Nat.dvd_mul_right _ _) (factorial_dvd_factorial h)
@[mono, gcongr]
theorem factorial_le {m n} (h : m ≤ n) : m ! ≤ n ! :=
le_of_dvd (factorial_pos _) (factorial_dvd_factorial h)
theorem factorial_mul_pow_le_factorial : ∀ {m n : ℕ}, m ! * (m + 1) ^ n ≤ (m + n)!
| m, 0 => by simp
| m, n + 1 => by
rw [← Nat.add_assoc, factorial_succ, Nat.mul_comm (_ + 1), Nat.pow_succ, ← Nat.mul_assoc]
exact Nat.mul_le_mul factorial_mul_pow_le_factorial (succ_le_succ (le_add_right _ _))
theorem factorial_lt (hn : 0 < n) : n ! < m ! ↔ n < m := by
refine ⟨fun h => not_le.mp fun hmn => Nat.not_le_of_lt h (factorial_le hmn), fun h => ?_⟩
have : ∀ {n}, 0 < n → n ! < (n + 1)! := by
intro k hk
rw [factorial_succ, succ_mul, Nat.lt_add_left_iff_pos]
exact Nat.mul_pos hk k.factorial_pos
induction h generalizing hn with
| refl => exact this hn
| step hnk ih => exact lt_trans (ih hn) <| this <| lt_trans hn <| lt_of_succ_le hnk
@[gcongr]
lemma factorial_lt_of_lt {m n : ℕ} (hn : 0 < n) (h : n < m) : n ! < m ! := (factorial_lt hn).mpr h
@[simp] lemma one_lt_factorial : 1 < n ! ↔ 1 < n := factorial_lt Nat.one_pos
@[simp]
theorem factorial_eq_one : n ! = 1 ↔ n ≤ 1 := by
constructor
· intro h
rw [← not_lt, ← one_lt_factorial, h]
apply lt_irrefl
· rintro (_|_|_) <;> rfl
theorem factorial_inj (hn : 1 < n) : n ! = m ! ↔ n = m := by
refine ⟨fun h => ?_, congr_arg _⟩
obtain hnm | rfl | hnm := lt_trichotomy n m
· rw [← factorial_lt <| lt_of_succ_lt hn, h] at hnm
cases lt_irrefl _ hnm
· rfl
rw [← one_lt_factorial, h, one_lt_factorial] at hn
rw [← factorial_lt <| lt_of_succ_lt hn, h] at hnm
cases lt_irrefl _ hnm
theorem factorial_inj' (h : 1 < n ∨ 1 < m) : n ! = m ! ↔ n = m := by
obtain hn|hm := h
· exact factorial_inj hn
· rw [eq_comm, factorial_inj hm, eq_comm]
theorem self_le_factorial : ∀ n : ℕ, n ≤ n !
| 0 => Nat.zero_le _
| k + 1 => Nat.le_mul_of_pos_right _ (Nat.one_le_of_lt k.factorial_pos)
theorem lt_factorial_self {n : ℕ} (hi : 3 ≤ n) : n < n ! := by
have : 0 < n := by omega
have hn : 1 < pred n := le_pred_of_lt (succ_le_iff.mp hi)
rw [← succ_pred_eq_of_pos ‹0 < n›, factorial_succ]
exact (Nat.lt_mul_iff_one_lt_right (pred n).succ_pos).2
((Nat.lt_of_lt_of_le hn (self_le_factorial _)))
theorem add_factorial_succ_lt_factorial_add_succ {i : ℕ} (n : ℕ) (hi : 2 ≤ i) :
i + (n + 1)! < (i + n + 1)! := by
rw [factorial_succ (i + _), Nat.add_mul, Nat.one_mul]
have := (i + n).self_le_factorial
refine Nat.add_lt_add_of_lt_of_le (Nat.lt_of_le_of_lt ?_ ((Nat.lt_mul_iff_one_lt_right ?_).2 ?_))
(factorial_le ?_) <;> omega
theorem add_factorial_lt_factorial_add {i n : ℕ} (hi : 2 ≤ i) (hn : 1 ≤ n) :
i + n ! < (i + n)! := by
cases hn
· rw [factorial_one]
exact lt_factorial_self (succ_le_succ hi)
exact add_factorial_succ_lt_factorial_add_succ _ hi
theorem add_factorial_succ_le_factorial_add_succ (i : ℕ) (n : ℕ) :
i + (n + 1)! ≤ (i + (n + 1))! := by
cases (le_or_lt (2 : ℕ) i)
· rw [← Nat.add_assoc]
apply Nat.le_of_lt
apply add_factorial_succ_lt_factorial_add_succ
assumption
· match i with
| 0 => simp
| 1 =>
rw [← Nat.add_assoc, factorial_succ (1 + n), Nat.add_mul, Nat.one_mul, Nat.add_comm 1 n,
Nat.add_le_add_iff_right]
exact Nat.mul_pos n.succ_pos n.succ.factorial_pos
| succ (succ n) => contradiction
theorem add_factorial_le_factorial_add (i : ℕ) {n : ℕ} (n1 : 1 ≤ n) : i + n ! ≤ (i + n)! := by
rcases n1 with - | @h
· exact self_le_factorial _
exact add_factorial_succ_le_factorial_add_succ i h
theorem factorial_mul_pow_sub_le_factorial {n m : ℕ} (hnm : n ≤ m) : n ! * n ^ (m - n) ≤ m ! := by
calc
_ ≤ n ! * (n + 1) ^ (m - n) := Nat.mul_le_mul_left _ (Nat.pow_le_pow_left n.le_succ _)
_ ≤ _ := by simpa [hnm] using @Nat.factorial_mul_pow_le_factorial n (m - n)
lemma factorial_le_pow : ∀ n, n ! ≤ n ^ n
| 0 => le_refl _
| n + 1 =>
calc
_ ≤ (n + 1) * n ^ n := Nat.mul_le_mul_left _ n.factorial_le_pow
_ ≤ (n + 1) * (n + 1) ^ n := Nat.mul_le_mul_left _ (Nat.pow_le_pow_left n.le_succ _)
_ = _ := by rw [pow_succ']
end Factorial
/-! ### Ascending and descending factorials -/
section AscFactorial
/-- `n.ascFactorial k = n (n + 1) ⋯ (n + k - 1)`. This is closely related to `ascPochhammer`, but
much less general. -/
def ascFactorial (n : ℕ) : ℕ → ℕ
| 0 => 1
| k + 1 => (n + k) * ascFactorial n k
@[simp]
theorem ascFactorial_zero (n : ℕ) : n.ascFactorial 0 = 1 :=
rfl
theorem ascFactorial_succ {n k : ℕ} : n.ascFactorial k.succ = (n + k) * n.ascFactorial k :=
rfl
theorem zero_ascFactorial : ∀ (k : ℕ), (0 : ℕ).ascFactorial k.succ = 0
| 0 => by
rw [ascFactorial_succ, ascFactorial_zero, Nat.zero_add, Nat.zero_mul]
| (k+1) => by
rw [ascFactorial_succ, zero_ascFactorial k, Nat.mul_zero]
@[simp]
theorem one_ascFactorial : ∀ (k : ℕ), (1 : ℕ).ascFactorial k = k.factorial
| 0 => ascFactorial_zero 1
| (k+1) => by
rw [ascFactorial_succ, one_ascFactorial k, Nat.add_comm, factorial_succ]
theorem succ_ascFactorial (n : ℕ) :
∀ k, n * n.succ.ascFactorial k = (n + k) * n.ascFactorial k
| 0 => by rw [Nat.add_zero, ascFactorial_zero, ascFactorial_zero]
| k + 1 => by rw [ascFactorial, Nat.mul_left_comm, succ_ascFactorial n k, ascFactorial, succ_add,
← Nat.add_assoc]
/-- `(n + 1).ascFactorial k = (n + k) ! / n !` but without ℕ-division. See
`Nat.ascFactorial_eq_div` for the version with ℕ-division. -/
theorem factorial_mul_ascFactorial (n : ℕ) : ∀ k, n ! * (n + 1).ascFactorial k = (n + k)!
| 0 => by rw [ascFactorial_zero, Nat.add_zero, Nat.mul_one]
| k + 1 => by
rw [ascFactorial_succ, ← Nat.add_assoc, factorial_succ, Nat.mul_comm (n + 1 + k),
← Nat.mul_assoc, factorial_mul_ascFactorial n k, Nat.mul_comm, Nat.add_right_comm]
/-- `n.ascFactorial k = (n + k - 1)! / (n - 1)!` for `n > 0` but without ℕ-division. See
`Nat.ascFactorial_eq_div` for the version with ℕ-division. Consider using
`factorial_mul_ascFactorial` to avoid complications of ℕ-subtraction. -/
theorem factorial_mul_ascFactorial' (n k : ℕ) (h : 0 < n) :
(n - 1) ! * n.ascFactorial k = (n + k - 1)! := by
rw [Nat.sub_add_comm h, Nat.sub_one]
nth_rw 2 [Nat.eq_add_of_sub_eq h rfl]
rw [Nat.sub_one, factorial_mul_ascFactorial]
theorem ascFactorial_mul_ascFactorial (n l k : ℕ) :
n.ascFactorial l * (n + l).ascFactorial k = n.ascFactorial (l + k) := by
cases n with
| zero =>
cases l
· simp only [ascFactorial_zero, Nat.add_zero, Nat.one_mul, Nat.zero_add]
· simp only [Nat.add_right_comm, zero_ascFactorial, Nat.zero_add, Nat.zero_mul]
| succ n' =>
apply Nat.mul_left_cancel (factorial_pos n')
simp only [Nat.add_assoc, ← Nat.mul_assoc, factorial_mul_ascFactorial]
rw [Nat.add_comm 1 l, ← Nat.add_assoc, factorial_mul_ascFactorial, Nat.add_assoc]
/-- Avoid in favor of `Nat.factorial_mul_ascFactorial` if you can. ℕ-division isn't worth it. -/
theorem ascFactorial_eq_div (n k : ℕ) : (n + 1).ascFactorial k = (n + k)! / n ! :=
Nat.eq_div_of_mul_eq_right n.factorial_ne_zero (factorial_mul_ascFactorial _ _)
/-- Avoid in favor of `Nat.factorial_mul_ascFactorial'` if you can. ℕ-division isn't worth it. -/
theorem ascFactorial_eq_div' (n k : ℕ) (h : 0 < n) :
n.ascFactorial k = (n + k - 1)! / (n - 1) ! :=
Nat.eq_div_of_mul_eq_right (n - 1).factorial_ne_zero (factorial_mul_ascFactorial' _ _ h)
theorem ascFactorial_of_sub {n k : ℕ} :
(n - k) * (n - k + 1).ascFactorial k = (n - k).ascFactorial (k + 1) := by
rw [succ_ascFactorial, ascFactorial_succ]
theorem pow_succ_le_ascFactorial (n : ℕ) : ∀ k : ℕ, n ^ k ≤ n.ascFactorial k
| 0 => by rw [ascFactorial_zero, Nat.pow_zero]
| k + 1 => by
rw [Nat.pow_succ, Nat.mul_comm, ascFactorial_succ, ← succ_ascFactorial]
exact Nat.mul_le_mul (Nat.le_refl n)
(Nat.le_trans (Nat.pow_le_pow_left (le_succ n) k) (pow_succ_le_ascFactorial n.succ k))
theorem pow_lt_ascFactorial' (n k : ℕ) : (n + 1) ^ (k + 2) < (n + 1).ascFactorial (k + 2) := by
rw [Nat.pow_succ, ascFactorial, Nat.mul_comm]
exact Nat.mul_lt_mul_of_lt_of_le' (Nat.lt_add_of_pos_right k.succ_pos)
(pow_succ_le_ascFactorial n.succ _) (Nat.pow_pos n.succ_pos)
theorem pow_lt_ascFactorial (n : ℕ) : ∀ {k : ℕ}, 2 ≤ k → (n + 1) ^ k < (n + 1).ascFactorial k
| 0 => by rintro ⟨⟩
| 1 => by intro; contradiction
| k + 2 => fun _ => pow_lt_ascFactorial' n k
theorem ascFactorial_le_pow_add (n : ℕ) : ∀ k : ℕ, (n+1).ascFactorial k ≤ (n + k) ^ k
| 0 => by rw [ascFactorial_zero, Nat.pow_zero]
| k + 1 => by
rw [ascFactorial_succ, Nat.pow_succ, Nat.mul_comm, ← Nat.add_assoc, Nat.add_right_comm n 1 k]
exact Nat.mul_le_mul_right _
(Nat.le_trans (ascFactorial_le_pow_add _ k) (Nat.pow_le_pow_left (le_succ _) _))
theorem ascFactorial_lt_pow_add (n : ℕ) : ∀ {k : ℕ}, 2 ≤ k → (n + 1).ascFactorial k < (n + k) ^ k
| 0 => by rintro ⟨⟩
| 1 => by intro; contradiction
| k + 2 => fun _ => by
rw [Nat.pow_succ, Nat.mul_comm, ascFactorial_succ, succ_add_eq_add_succ n (k + 1)]
exact Nat.mul_lt_mul_of_le_of_lt (le_refl _) (Nat.lt_of_le_of_lt (ascFactorial_le_pow_add n _)
(Nat.pow_lt_pow_left (Nat.lt_succ_self _) k.succ_ne_zero)) (succ_pos _)
theorem ascFactorial_pos (n k : ℕ) : 0 < (n + 1).ascFactorial k :=
Nat.lt_of_lt_of_le (Nat.pow_pos n.succ_pos) (pow_succ_le_ascFactorial (n + 1) k)
end AscFactorial
section DescFactorial
/-- `n.descFactorial k = n! / (n - k)!` (as seen in `Nat.descFactorial_eq_div`), but
implemented recursively to allow for "quick" computation when using `norm_num`. This is closely
related to `descPochhammer`, but much less general. -/
def descFactorial (n : ℕ) : ℕ → ℕ
| 0 => 1
| k + 1 => (n - k) * descFactorial n k
@[simp]
theorem descFactorial_zero (n : ℕ) : n.descFactorial 0 = 1 :=
rfl
@[simp]
theorem descFactorial_succ (n k : ℕ) : n.descFactorial (k + 1) = (n - k) * n.descFactorial k :=
rfl
theorem zero_descFactorial_succ (k : ℕ) : (0 : ℕ).descFactorial (k + 1) = 0 := by
rw [descFactorial_succ, Nat.zero_sub, Nat.zero_mul]
theorem descFactorial_one (n : ℕ) : n.descFactorial 1 = n := by simp
theorem succ_descFactorial_succ (n : ℕ) :
∀ k : ℕ, (n + 1).descFactorial (k + 1) = (n + 1) * n.descFactorial k
| 0 => by rw [descFactorial_zero, descFactorial_one, Nat.mul_one]
| succ k => by
rw [descFactorial_succ, succ_descFactorial_succ _ k, descFactorial_succ, succ_sub_succ,
Nat.mul_left_comm]
theorem succ_descFactorial (n : ℕ) :
∀ k, (n + 1 - k) * (n + 1).descFactorial k = (n + 1) * n.descFactorial k
| 0 => by rw [Nat.sub_zero, descFactorial_zero, descFactorial_zero]
| k + 1 => by
rw [descFactorial, succ_descFactorial _ k, descFactorial_succ, succ_sub_succ, Nat.mul_left_comm]
theorem descFactorial_self : ∀ n : ℕ, n.descFactorial n = n !
| 0 => by rw [descFactorial_zero, factorial_zero]
| succ n => by rw [succ_descFactorial_succ, descFactorial_self n, factorial_succ]
@[simp]
theorem descFactorial_eq_zero_iff_lt {n : ℕ} : ∀ {k : ℕ}, n.descFactorial k = 0 ↔ n < k
| 0 => by simp only [descFactorial_zero, Nat.one_ne_zero, Nat.not_lt_zero]
| succ k => by
rw [descFactorial_succ, mul_eq_zero, descFactorial_eq_zero_iff_lt, Nat.lt_succ_iff,
Nat.sub_eq_zero_iff_le, Nat.lt_iff_le_and_ne, or_iff_left_iff_imp, and_imp]
| exact fun h _ => h
alias ⟨_, descFactorial_of_lt⟩ := descFactorial_eq_zero_iff_lt
theorem add_descFactorial_eq_ascFactorial (n : ℕ) : ∀ k : ℕ,
(n + k).descFactorial k = (n + 1).ascFactorial k
| Mathlib/Data/Nat/Factorial/Basic.lean | 347 | 352 |
/-
Copyright (c) 2017 Johannes Hölzl. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Johannes Hölzl
-/
import Aesop
import Mathlib.Order.BoundedOrder.Lattice
/-!
# Disjointness and complements
This file defines `Disjoint`, `Codisjoint`, and the `IsCompl` predicate.
## Main declarations
* `Disjoint x y`: two elements of a lattice are disjoint if their `inf` is the bottom element.
* `Codisjoint x y`: two elements of a lattice are codisjoint if their `join` is the top element.
* `IsCompl x y`: In a bounded lattice, predicate for "`x` is a complement of `y`". Note that in a
non distributive lattice, an element can have several complements.
* `ComplementedLattice α`: Typeclass stating that any element of a lattice has a complement.
-/
open Function
variable {α : Type*}
section Disjoint
section PartialOrderBot
variable [PartialOrder α] [OrderBot α] {a b c d : α}
/-- Two elements of a lattice are disjoint if their inf is the bottom element.
(This generalizes disjoint sets, viewed as members of the subset lattice.)
Note that we define this without reference to `⊓`, as this allows us to talk about orders where
the infimum is not unique, or where implementing `Inf` would require additional `Decidable`
arguments. -/
def Disjoint (a b : α) : Prop :=
∀ ⦃x⦄, x ≤ a → x ≤ b → x ≤ ⊥
@[simp]
theorem disjoint_of_subsingleton [Subsingleton α] : Disjoint a b :=
fun x _ _ ↦ le_of_eq (Subsingleton.elim x ⊥)
theorem disjoint_comm : Disjoint a b ↔ Disjoint b a :=
forall_congr' fun _ ↦ forall_swap
@[symm]
theorem Disjoint.symm ⦃a b : α⦄ : Disjoint a b → Disjoint b a :=
disjoint_comm.1
theorem symmetric_disjoint : Symmetric (Disjoint : α → α → Prop) :=
Disjoint.symm
@[simp]
theorem disjoint_bot_left : Disjoint ⊥ a := fun _ hbot _ ↦ hbot
@[simp]
theorem disjoint_bot_right : Disjoint a ⊥ := fun _ _ hbot ↦ hbot
theorem Disjoint.mono (h₁ : a ≤ b) (h₂ : c ≤ d) : Disjoint b d → Disjoint a c :=
fun h _ ha hc ↦ h (ha.trans h₁) (hc.trans h₂)
theorem Disjoint.mono_left (h : a ≤ b) : Disjoint b c → Disjoint a c :=
Disjoint.mono h le_rfl
theorem Disjoint.mono_right : b ≤ c → Disjoint a c → Disjoint a b :=
Disjoint.mono le_rfl
@[simp]
theorem disjoint_self : Disjoint a a ↔ a = ⊥ :=
⟨fun hd ↦ bot_unique <| hd le_rfl le_rfl, fun h _ ha _ ↦ ha.trans_eq h⟩
/- TODO: Rename `Disjoint.eq_bot` to `Disjoint.inf_eq` and `Disjoint.eq_bot_of_self` to
`Disjoint.eq_bot` -/
alias ⟨Disjoint.eq_bot_of_self, _⟩ := disjoint_self
theorem Disjoint.ne (ha : a ≠ ⊥) (hab : Disjoint a b) : a ≠ b :=
fun h ↦ ha <| disjoint_self.1 <| by rwa [← h] at hab
theorem Disjoint.eq_bot_of_le (hab : Disjoint a b) (h : a ≤ b) : a = ⊥ :=
eq_bot_iff.2 <| hab le_rfl h
theorem Disjoint.eq_bot_of_ge (hab : Disjoint a b) : b ≤ a → b = ⊥ :=
hab.symm.eq_bot_of_le
lemma Disjoint.eq_iff (hab : Disjoint a b) : a = b ↔ a = ⊥ ∧ b = ⊥ := by aesop
lemma Disjoint.ne_iff (hab : Disjoint a b) : a ≠ b ↔ a ≠ ⊥ ∨ b ≠ ⊥ :=
hab.eq_iff.not.trans not_and_or
| theorem disjoint_of_le_iff_left_eq_bot (h : a ≤ b) :
Disjoint a b ↔ a = ⊥ :=
| Mathlib/Order/Disjoint.lean | 93 | 94 |
/-
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 Mathlib.Data.Set.Finite.Basic
import Mathlib.Data.Set.Finite.Range
import Mathlib.Data.Set.Lattice
import Mathlib.Topology.Defs.Filter
/-!
# Openness and closedness of a set
This file provides lemmas relating to the predicates `IsOpen` and `IsClosed` of a set endowed with
a topology.
## Implementation notes
Topology in mathlib heavily uses filters (even more than in Bourbaki). See explanations in
<https://leanprover-community.github.io/theories/topology.html>.
## References
* [N. Bourbaki, *General Topology*][bourbaki1966]
* [I. M. James, *Topologies and Uniformities*][james1999]
## Tags
topological space
-/
open Set Filter Topology
universe u v
/-- A constructor for topologies by specifying the closed sets,
and showing that they satisfy the appropriate conditions. -/
def TopologicalSpace.ofClosed {X : Type u} (T : Set (Set X)) (empty_mem : ∅ ∈ T)
(sInter_mem : ∀ A, A ⊆ T → ⋂₀ A ∈ T)
(union_mem : ∀ A, A ∈ T → ∀ B, B ∈ T → A ∪ B ∈ T) : TopologicalSpace X where
IsOpen X := Xᶜ ∈ T
isOpen_univ := by simp [empty_mem]
isOpen_inter s t hs ht := by simpa only [compl_inter] using union_mem sᶜ hs tᶜ ht
isOpen_sUnion s hs := by
simp only [Set.compl_sUnion]
exact sInter_mem (compl '' s) fun z ⟨y, hy, hz⟩ => hz ▸ hs y hy
section TopologicalSpace
variable {X : Type u} {ι : Sort v} {α : Type*} {x : X} {s s₁ s₂ t : Set X} {p p₁ p₂ : X → Prop}
lemma isOpen_mk {p h₁ h₂ h₃} : IsOpen[⟨p, h₁, h₂, h₃⟩] s ↔ p s := Iff.rfl
@[ext (iff := false)]
protected theorem TopologicalSpace.ext :
∀ {f g : TopologicalSpace X}, IsOpen[f] = IsOpen[g] → f = g
| ⟨_, _, _, _⟩, ⟨_, _, _, _⟩, rfl => rfl
protected theorem TopologicalSpace.ext_iff {t t' : TopologicalSpace X} :
t = t' ↔ ∀ s, IsOpen[t] s ↔ IsOpen[t'] s :=
⟨fun h _ => h ▸ Iff.rfl, fun h => by ext; exact h _⟩
theorem isOpen_fold {t : TopologicalSpace X} : t.IsOpen s = IsOpen[t] s :=
rfl
variable [TopologicalSpace X]
theorem isOpen_iUnion {f : ι → Set X} (h : ∀ i, IsOpen (f i)) : IsOpen (⋃ i, f i) :=
isOpen_sUnion (forall_mem_range.2 h)
theorem isOpen_biUnion {s : Set α} {f : α → Set X} (h : ∀ i ∈ s, IsOpen (f i)) :
IsOpen (⋃ i ∈ s, f i) :=
isOpen_iUnion fun i => isOpen_iUnion fun hi => h i hi
theorem IsOpen.union (h₁ : IsOpen s₁) (h₂ : IsOpen s₂) : IsOpen (s₁ ∪ s₂) := by
rw [union_eq_iUnion]; exact isOpen_iUnion (Bool.forall_bool.2 ⟨h₂, h₁⟩)
lemma isOpen_iff_of_cover {f : α → Set X} (ho : ∀ i, IsOpen (f i)) (hU : (⋃ i, f i) = univ) :
IsOpen s ↔ ∀ i, IsOpen (f i ∩ s) := by
refine ⟨fun h i ↦ (ho i).inter h, fun h ↦ ?_⟩
rw [← s.inter_univ, inter_comm, ← hU, iUnion_inter]
exact isOpen_iUnion fun i ↦ h i
@[simp] theorem isOpen_empty : IsOpen (∅ : Set X) := by
rw [← sUnion_empty]; exact isOpen_sUnion fun a => False.elim
theorem Set.Finite.isOpen_sInter {s : Set (Set X)} (hs : s.Finite) (h : ∀ t ∈ s, IsOpen t) :
IsOpen (⋂₀ s) := by
induction s, hs using Set.Finite.induction_on with
| empty => rw [sInter_empty]; exact isOpen_univ
| insert _ _ ih =>
simp only [sInter_insert, forall_mem_insert] at h ⊢
exact h.1.inter (ih h.2)
theorem Set.Finite.isOpen_biInter {s : Set α} {f : α → Set X} (hs : s.Finite)
(h : ∀ i ∈ s, IsOpen (f i)) :
IsOpen (⋂ i ∈ s, f i) :=
sInter_image f s ▸ (hs.image _).isOpen_sInter (forall_mem_image.2 h)
theorem isOpen_iInter_of_finite [Finite ι] {s : ι → Set X} (h : ∀ i, IsOpen (s i)) :
IsOpen (⋂ i, s i) :=
(finite_range _).isOpen_sInter (forall_mem_range.2 h)
theorem isOpen_biInter_finset {s : Finset α} {f : α → Set X} (h : ∀ i ∈ s, IsOpen (f i)) :
IsOpen (⋂ i ∈ s, f i) :=
s.finite_toSet.isOpen_biInter h
@[simp]
theorem isOpen_const {p : Prop} : IsOpen { _x : X | p } := by by_cases p <;> simp [*]
theorem IsOpen.and : IsOpen { x | p₁ x } → IsOpen { x | p₂ x } → IsOpen { x | p₁ x ∧ p₂ x } :=
IsOpen.inter
@[simp] theorem isOpen_compl_iff : IsOpen sᶜ ↔ IsClosed s :=
⟨fun h => ⟨h⟩, fun h => h.isOpen_compl⟩
theorem TopologicalSpace.ext_iff_isClosed {X} {t₁ t₂ : TopologicalSpace X} :
t₁ = t₂ ↔ ∀ s, IsClosed[t₁] s ↔ IsClosed[t₂] s := by
rw [TopologicalSpace.ext_iff, compl_surjective.forall]
simp only [@isOpen_compl_iff _ _ t₁, @isOpen_compl_iff _ _ t₂]
alias ⟨_, TopologicalSpace.ext_isClosed⟩ := TopologicalSpace.ext_iff_isClosed
theorem isClosed_const {p : Prop} : IsClosed { _x : X | p } := ⟨isOpen_const (p := ¬p)⟩
@[simp] theorem isClosed_empty : IsClosed (∅ : Set X) := isClosed_const
@[simp] theorem isClosed_univ : IsClosed (univ : Set X) := isClosed_const
lemma IsOpen.isLocallyClosed (hs : IsOpen s) : IsLocallyClosed s :=
⟨_, _, hs, isClosed_univ, (inter_univ _).symm⟩
lemma IsClosed.isLocallyClosed (hs : IsClosed s) : IsLocallyClosed s :=
⟨_, _, isOpen_univ, hs, (univ_inter _).symm⟩
theorem IsClosed.union : IsClosed s₁ → IsClosed s₂ → IsClosed (s₁ ∪ s₂) := by
simpa only [← isOpen_compl_iff, compl_union] using IsOpen.inter
theorem isClosed_sInter {s : Set (Set X)} : (∀ t ∈ s, IsClosed t) → IsClosed (⋂₀ s) := by
simpa only [← isOpen_compl_iff, compl_sInter, sUnion_image] using isOpen_biUnion
theorem isClosed_iInter {f : ι → Set X} (h : ∀ i, IsClosed (f i)) : IsClosed (⋂ i, f i) :=
isClosed_sInter <| forall_mem_range.2 h
theorem isClosed_biInter {s : Set α} {f : α → Set X} (h : ∀ i ∈ s, IsClosed (f i)) :
IsClosed (⋂ i ∈ s, f i) :=
isClosed_iInter fun i => isClosed_iInter <| h i
@[simp]
theorem isClosed_compl_iff {s : Set X} : IsClosed sᶜ ↔ IsOpen s := by
rw [← isOpen_compl_iff, compl_compl]
alias ⟨_, IsOpen.isClosed_compl⟩ := isClosed_compl_iff
theorem IsOpen.sdiff (h₁ : IsOpen s) (h₂ : IsClosed t) : IsOpen (s \ t) :=
IsOpen.inter h₁ h₂.isOpen_compl
theorem IsClosed.inter (h₁ : IsClosed s₁) (h₂ : IsClosed s₂) : IsClosed (s₁ ∩ s₂) := by
rw [← isOpen_compl_iff] at *
rw [compl_inter]
exact IsOpen.union h₁ h₂
theorem IsClosed.sdiff (h₁ : IsClosed s) (h₂ : IsOpen t) : IsClosed (s \ t) :=
IsClosed.inter h₁ (isClosed_compl_iff.mpr h₂)
theorem Set.Finite.isClosed_biUnion {s : Set α} {f : α → Set X} (hs : s.Finite)
(h : ∀ i ∈ s, IsClosed (f i)) :
IsClosed (⋃ i ∈ s, f i) := by
simp only [← isOpen_compl_iff, compl_iUnion] at *
exact hs.isOpen_biInter h
lemma isClosed_biUnion_finset {s : Finset α} {f : α → Set X} (h : ∀ i ∈ s, IsClosed (f i)) :
IsClosed (⋃ i ∈ s, f i) :=
s.finite_toSet.isClosed_biUnion h
theorem isClosed_iUnion_of_finite [Finite ι] {s : ι → Set X} (h : ∀ i, IsClosed (s i)) :
IsClosed (⋃ i, s i) := by
simp only [← isOpen_compl_iff, compl_iUnion] at *
exact isOpen_iInter_of_finite h
theorem isClosed_imp {p q : X → Prop} (hp : IsOpen { x | p x }) (hq : IsClosed { x | q x }) :
IsClosed { x | p x → q x } := by
simpa only [imp_iff_not_or] using hp.isClosed_compl.union hq
theorem IsClosed.not : IsClosed { a | p a } → IsOpen { a | ¬p a } :=
isOpen_compl_iff.mpr
/-!
### Limits of filters in topological spaces
In this section we define functions that return a limit of a filter (or of a function along a
filter), if it exists, and a random point otherwise. These functions are rarely used in Mathlib,
most of the theorems are written using `Filter.Tendsto`. One of the reasons is that
`Filter.limUnder f g = x` is not equivalent to `Filter.Tendsto g f (𝓝 x)` unless the codomain is a
Hausdorff space and `g` has a limit along `f`.
-/
section lim
/-- If a filter `f` is majorated by some `𝓝 x`, then it is majorated by `𝓝 (Filter.lim f)`. We
formulate this lemma with a `[Nonempty X]` argument of `lim` derived from `h` to make it useful for
types without a `[Nonempty X]` instance. Because of the built-in proof irrelevance, Lean will unify
this instance with any other instance. -/
theorem le_nhds_lim {f : Filter X} (h : ∃ x, f ≤ 𝓝 x) : f ≤ 𝓝 (@lim _ _ (nonempty_of_exists h) f) :=
Classical.epsilon_spec h
/-- If `g` tends to some `𝓝 x` along `f`, then it tends to `𝓝 (Filter.limUnder f g)`. We formulate
this lemma with a `[Nonempty X]` argument of `lim` derived from `h` to make it useful for types
without a `[Nonempty X]` instance. Because of the built-in proof irrelevance, Lean will unify this
instance with any other instance. -/
theorem tendsto_nhds_limUnder {f : Filter α} {g : α → X} (h : ∃ x, Tendsto g f (𝓝 x)) :
Tendsto g f (𝓝 (@limUnder _ _ _ (nonempty_of_exists h) f g)) :=
le_nhds_lim h
theorem limUnder_of_not_tendsto [hX : Nonempty X] {f : Filter α} {g : α → X}
(h : ¬ ∃ x, Tendsto g f (𝓝 x)) :
limUnder f g = Classical.choice hX := by
| simp_rw [Tendsto] at h
simp_rw [limUnder, lim, Classical.epsilon, Classical.strongIndefiniteDescription, dif_neg h]
end lim
| Mathlib/Topology/Basic.lean | 218 | 222 |
/-
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, Sébastien Gouëzel,
Rémy Degenne, David Loeffler
-/
import Mathlib.Analysis.SpecialFunctions.Pow.Complex
import Qq
/-! # Power function on `ℝ`
We construct the power functions `x ^ y`, where `x` and `y` are real numbers.
-/
noncomputable section
open Real ComplexConjugate Finset Set
/-
## Definitions
-/
namespace Real
variable {x y z : ℝ}
/-- The real power function `x ^ y`, defined as the real part of the complex power function.
For `x > 0`, it is equal to `exp (y log x)`. For `x = 0`, one sets `0 ^ 0=1` and `0 ^ y=0` for
`y ≠ 0`. For `x < 0`, the definition is somewhat arbitrary as it depends on the choice of a complex
determination of the logarithm. With our conventions, it is equal to `exp (y log x) cos (π y)`. -/
noncomputable def rpow (x y : ℝ) :=
((x : ℂ) ^ (y : ℂ)).re
noncomputable instance : Pow ℝ ℝ := ⟨rpow⟩
@[simp]
theorem rpow_eq_pow (x y : ℝ) : rpow x y = x ^ y := rfl
theorem rpow_def (x y : ℝ) : x ^ y = ((x : ℂ) ^ (y : ℂ)).re := rfl
theorem rpow_def_of_nonneg {x : ℝ} (hx : 0 ≤ x) (y : ℝ) :
x ^ y = if x = 0 then if y = 0 then 1 else 0 else exp (log x * y) := by
simp only [rpow_def, Complex.cpow_def]; split_ifs <;>
simp_all [(Complex.ofReal_log hx).symm, -Complex.ofReal_mul,
(Complex.ofReal_mul _ _).symm, Complex.exp_ofReal_re, Complex.ofReal_eq_zero]
theorem rpow_def_of_pos {x : ℝ} (hx : 0 < x) (y : ℝ) : x ^ y = exp (log x * y) := by
rw [rpow_def_of_nonneg (le_of_lt hx), if_neg (ne_of_gt hx)]
theorem exp_mul (x y : ℝ) : exp (x * y) = exp x ^ y := by rw [rpow_def_of_pos (exp_pos _), log_exp]
@[simp, norm_cast]
theorem rpow_intCast (x : ℝ) (n : ℤ) : x ^ (n : ℝ) = x ^ n := by
simp only [rpow_def, ← Complex.ofReal_zpow, Complex.cpow_intCast, Complex.ofReal_intCast,
Complex.ofReal_re]
@[simp, norm_cast]
theorem rpow_natCast (x : ℝ) (n : ℕ) : x ^ (n : ℝ) = x ^ n := by simpa using rpow_intCast x n
@[simp]
theorem exp_one_rpow (x : ℝ) : exp 1 ^ x = exp x := by rw [← exp_mul, one_mul]
@[simp] lemma exp_one_pow (n : ℕ) : exp 1 ^ n = exp n := by rw [← rpow_natCast, exp_one_rpow]
theorem rpow_eq_zero_iff_of_nonneg (hx : 0 ≤ x) : x ^ y = 0 ↔ x = 0 ∧ y ≠ 0 := by
simp only [rpow_def_of_nonneg hx]
split_ifs <;> simp [*, exp_ne_zero]
@[simp]
lemma rpow_eq_zero (hx : 0 ≤ x) (hy : y ≠ 0) : x ^ y = 0 ↔ x = 0 := by
simp [rpow_eq_zero_iff_of_nonneg, *]
@[simp]
lemma rpow_ne_zero (hx : 0 ≤ x) (hy : y ≠ 0) : x ^ y ≠ 0 ↔ x ≠ 0 :=
Real.rpow_eq_zero hx hy |>.not
open Real
theorem rpow_def_of_neg {x : ℝ} (hx : x < 0) (y : ℝ) : x ^ y = exp (log x * y) * cos (y * π) := by
rw [rpow_def, Complex.cpow_def, if_neg]
· have : Complex.log x * y = ↑(log (-x) * y) + ↑(y * π) * Complex.I := by
simp only [Complex.log, Complex.norm_real, norm_eq_abs, abs_of_neg hx, log_neg_eq_log,
Complex.arg_ofReal_of_neg hx, Complex.ofReal_mul]
ring
rw [this, Complex.exp_add_mul_I, ← Complex.ofReal_exp, ← Complex.ofReal_cos, ←
Complex.ofReal_sin, mul_add, ← Complex.ofReal_mul, ← mul_assoc, ← Complex.ofReal_mul,
Complex.add_re, Complex.ofReal_re, Complex.mul_re, Complex.I_re, Complex.ofReal_im,
Real.log_neg_eq_log]
ring
· rw [Complex.ofReal_eq_zero]
exact ne_of_lt hx
theorem rpow_def_of_nonpos {x : ℝ} (hx : x ≤ 0) (y : ℝ) :
x ^ y = if x = 0 then if y = 0 then 1 else 0 else exp (log x * y) * cos (y * π) := by
split_ifs with h <;> simp [rpow_def, *]; exact rpow_def_of_neg (lt_of_le_of_ne hx h) _
@[bound]
theorem rpow_pos_of_pos {x : ℝ} (hx : 0 < x) (y : ℝ) : 0 < x ^ y := by
rw [rpow_def_of_pos hx]; apply exp_pos
@[simp]
theorem rpow_zero (x : ℝ) : x ^ (0 : ℝ) = 1 := by simp [rpow_def]
theorem rpow_zero_pos (x : ℝ) : 0 < x ^ (0 : ℝ) := by simp
@[simp]
theorem zero_rpow {x : ℝ} (h : x ≠ 0) : (0 : ℝ) ^ x = 0 := by simp [rpow_def, *]
theorem zero_rpow_eq_iff {x : ℝ} {a : ℝ} : 0 ^ x = a ↔ x ≠ 0 ∧ a = 0 ∨ x = 0 ∧ a = 1 := by
constructor
· intro hyp
simp only [rpow_def, Complex.ofReal_zero] at hyp
by_cases h : x = 0
· subst h
simp only [Complex.one_re, Complex.ofReal_zero, Complex.cpow_zero] at hyp
exact Or.inr ⟨rfl, hyp.symm⟩
· rw [Complex.zero_cpow (Complex.ofReal_ne_zero.mpr h)] at hyp
exact Or.inl ⟨h, hyp.symm⟩
· rintro (⟨h, rfl⟩ | ⟨rfl, rfl⟩)
· exact zero_rpow h
· exact rpow_zero _
theorem eq_zero_rpow_iff {x : ℝ} {a : ℝ} : a = 0 ^ x ↔ x ≠ 0 ∧ a = 0 ∨ x = 0 ∧ a = 1 := by
rw [← zero_rpow_eq_iff, eq_comm]
@[simp]
theorem rpow_one (x : ℝ) : x ^ (1 : ℝ) = x := by simp [rpow_def]
@[simp]
theorem one_rpow (x : ℝ) : (1 : ℝ) ^ x = 1 := by simp [rpow_def]
theorem zero_rpow_le_one (x : ℝ) : (0 : ℝ) ^ x ≤ 1 := by
by_cases h : x = 0 <;> simp [h, zero_le_one]
theorem zero_rpow_nonneg (x : ℝ) : 0 ≤ (0 : ℝ) ^ x := by
by_cases h : x = 0 <;> simp [h, zero_le_one]
@[bound]
theorem rpow_nonneg {x : ℝ} (hx : 0 ≤ x) (y : ℝ) : 0 ≤ x ^ y := by
rw [rpow_def_of_nonneg hx]; split_ifs <;>
simp only [zero_le_one, le_refl, le_of_lt (exp_pos _)]
theorem abs_rpow_of_nonneg {x y : ℝ} (hx_nonneg : 0 ≤ x) : |x ^ y| = |x| ^ y := by
have h_rpow_nonneg : 0 ≤ x ^ y := Real.rpow_nonneg hx_nonneg _
rw [abs_eq_self.mpr hx_nonneg, abs_eq_self.mpr h_rpow_nonneg]
@[bound]
theorem abs_rpow_le_abs_rpow (x y : ℝ) : |x ^ y| ≤ |x| ^ y := by
rcases le_or_lt 0 x with hx | hx
· rw [abs_rpow_of_nonneg hx]
· rw [abs_of_neg hx, rpow_def_of_neg hx, rpow_def_of_pos (neg_pos.2 hx), log_neg_eq_log, abs_mul,
abs_of_pos (exp_pos _)]
exact mul_le_of_le_one_right (exp_pos _).le (abs_cos_le_one _)
theorem abs_rpow_le_exp_log_mul (x y : ℝ) : |x ^ y| ≤ exp (log x * y) := by
refine (abs_rpow_le_abs_rpow x y).trans ?_
by_cases hx : x = 0
· by_cases hy : y = 0 <;> simp [hx, hy, zero_le_one]
· rw [rpow_def_of_pos (abs_pos.2 hx), log_abs]
lemma rpow_inv_log (hx₀ : 0 < x) (hx₁ : x ≠ 1) : x ^ (log x)⁻¹ = exp 1 := by
rw [rpow_def_of_pos hx₀, mul_inv_cancel₀]
exact log_ne_zero.2 ⟨hx₀.ne', hx₁, (hx₀.trans' <| by norm_num).ne'⟩
/-- See `Real.rpow_inv_log` for the equality when `x ≠ 1` is strictly positive. -/
lemma rpow_inv_log_le_exp_one : x ^ (log x)⁻¹ ≤ exp 1 := by
calc
_ ≤ |x ^ (log x)⁻¹| := le_abs_self _
_ ≤ |x| ^ (log x)⁻¹ := abs_rpow_le_abs_rpow ..
rw [← log_abs]
obtain hx | hx := (abs_nonneg x).eq_or_gt
· simp [hx]
· rw [rpow_def_of_pos hx]
gcongr
exact mul_inv_le_one
theorem norm_rpow_of_nonneg {x y : ℝ} (hx_nonneg : 0 ≤ x) : ‖x ^ y‖ = ‖x‖ ^ y := by
simp_rw [Real.norm_eq_abs]
exact abs_rpow_of_nonneg hx_nonneg
variable {w x y z : ℝ}
theorem rpow_add (hx : 0 < x) (y z : ℝ) : x ^ (y + z) = x ^ y * x ^ z := by
simp only [rpow_def_of_pos hx, mul_add, exp_add]
theorem rpow_add' (hx : 0 ≤ x) (h : y + z ≠ 0) : x ^ (y + z) = x ^ y * x ^ z := by
rcases hx.eq_or_lt with (rfl | pos)
· rw [zero_rpow h, zero_eq_mul]
have : y ≠ 0 ∨ z ≠ 0 := not_and_or.1 fun ⟨hy, hz⟩ => h <| hy.symm ▸ hz.symm ▸ zero_add 0
exact this.imp zero_rpow zero_rpow
· exact rpow_add pos _ _
/-- Variant of `Real.rpow_add'` that avoids having to prove `y + z = w` twice. -/
lemma rpow_of_add_eq (hx : 0 ≤ x) (hw : w ≠ 0) (h : y + z = w) : x ^ w = x ^ y * x ^ z := by
rw [← h, rpow_add' hx]; rwa [h]
theorem rpow_add_of_nonneg (hx : 0 ≤ x) (hy : 0 ≤ y) (hz : 0 ≤ z) :
x ^ (y + z) = x ^ y * x ^ z := by
rcases hy.eq_or_lt with (rfl | hy)
· rw [zero_add, rpow_zero, one_mul]
exact rpow_add' hx (ne_of_gt <| add_pos_of_pos_of_nonneg hy hz)
/-- For `0 ≤ x`, the only problematic case in the equality `x ^ y * x ^ z = x ^ (y + z)` is for
`x = 0` and `y + z = 0`, where the right hand side is `1` while the left hand side can vanish.
The inequality is always true, though, and given in this lemma. -/
theorem le_rpow_add {x : ℝ} (hx : 0 ≤ x) (y z : ℝ) : x ^ y * x ^ z ≤ x ^ (y + z) := by
rcases le_iff_eq_or_lt.1 hx with (H | pos)
· by_cases h : y + z = 0
· simp only [H.symm, h, rpow_zero]
calc
(0 : ℝ) ^ y * 0 ^ z ≤ 1 * 1 :=
mul_le_mul (zero_rpow_le_one y) (zero_rpow_le_one z) (zero_rpow_nonneg z) zero_le_one
_ = 1 := by simp
· simp [rpow_add', ← H, h]
· simp [rpow_add pos]
theorem rpow_sum_of_pos {ι : Type*} {a : ℝ} (ha : 0 < a) (f : ι → ℝ) (s : Finset ι) :
(a ^ ∑ x ∈ s, f x) = ∏ x ∈ s, a ^ f x :=
map_sum (⟨⟨fun (x : ℝ) => (a ^ x : ℝ), rpow_zero a⟩, rpow_add ha⟩ : ℝ →+ (Additive ℝ)) f s
theorem rpow_sum_of_nonneg {ι : Type*} {a : ℝ} (ha : 0 ≤ a) {s : Finset ι} {f : ι → ℝ}
(h : ∀ x ∈ s, 0 ≤ f x) : (a ^ ∑ x ∈ s, f x) = ∏ x ∈ s, a ^ f x := by
induction' s using Finset.cons_induction with i s hi ihs
· rw [sum_empty, Finset.prod_empty, rpow_zero]
· rw [forall_mem_cons] at h
rw [sum_cons, prod_cons, ← ihs h.2, rpow_add_of_nonneg ha h.1 (sum_nonneg h.2)]
theorem rpow_neg {x : ℝ} (hx : 0 ≤ x) (y : ℝ) : x ^ (-y) = (x ^ y)⁻¹ := by
simp only [rpow_def_of_nonneg hx]; split_ifs <;> simp_all [exp_neg]
theorem rpow_sub {x : ℝ} (hx : 0 < x) (y z : ℝ) : x ^ (y - z) = x ^ y / x ^ z := by
simp only [sub_eq_add_neg, rpow_add hx, rpow_neg (le_of_lt hx), div_eq_mul_inv]
theorem rpow_sub' {x : ℝ} (hx : 0 ≤ x) {y z : ℝ} (h : y - z ≠ 0) : x ^ (y - z) = x ^ y / x ^ z := by
simp only [sub_eq_add_neg] at h ⊢
simp only [rpow_add' hx h, rpow_neg hx, div_eq_mul_inv]
protected theorem _root_.HasCompactSupport.rpow_const {α : Type*} [TopologicalSpace α] {f : α → ℝ}
(hf : HasCompactSupport f) {r : ℝ} (hr : r ≠ 0) : HasCompactSupport (fun x ↦ f x ^ r) :=
hf.comp_left (g := (· ^ r)) (Real.zero_rpow hr)
end Real
/-!
## Comparing real and complex powers
-/
namespace Complex
theorem ofReal_cpow {x : ℝ} (hx : 0 ≤ x) (y : ℝ) : ((x ^ y : ℝ) : ℂ) = (x : ℂ) ^ (y : ℂ) := by
simp only [Real.rpow_def_of_nonneg hx, Complex.cpow_def, ofReal_eq_zero]; split_ifs <;>
simp [Complex.ofReal_log hx]
theorem ofReal_cpow_of_nonpos {x : ℝ} (hx : x ≤ 0) (y : ℂ) :
(x : ℂ) ^ y = (-x : ℂ) ^ y * exp (π * I * y) := by
rcases hx.eq_or_lt with (rfl | hlt)
· rcases eq_or_ne y 0 with (rfl | hy) <;> simp [*]
have hne : (x : ℂ) ≠ 0 := ofReal_ne_zero.mpr hlt.ne
rw [cpow_def_of_ne_zero hne, cpow_def_of_ne_zero (neg_ne_zero.2 hne), ← exp_add, ← add_mul, log,
log, norm_neg, arg_ofReal_of_neg hlt, ← ofReal_neg, arg_ofReal_of_nonneg (neg_nonneg.2 hx),
ofReal_zero, zero_mul, add_zero]
lemma cpow_ofReal (x : ℂ) (y : ℝ) :
x ^ (y : ℂ) = ↑(‖x‖ ^ y) * (Real.cos (arg x * y) + Real.sin (arg x * y) * I) := by
rcases eq_or_ne x 0 with rfl | hx
· simp [ofReal_cpow le_rfl]
· rw [cpow_def_of_ne_zero hx, exp_eq_exp_re_mul_sin_add_cos, mul_comm (log x)]
norm_cast
rw [re_ofReal_mul, im_ofReal_mul, log_re, log_im, mul_comm y, mul_comm y, Real.exp_mul,
Real.exp_log]
rwa [norm_pos_iff]
lemma cpow_ofReal_re (x : ℂ) (y : ℝ) : (x ^ (y : ℂ)).re = ‖x‖ ^ y * Real.cos (arg x * y) := by
rw [cpow_ofReal]; generalize arg x * y = z; simp [Real.cos]
lemma cpow_ofReal_im (x : ℂ) (y : ℝ) : (x ^ (y : ℂ)).im = ‖x‖ ^ y * Real.sin (arg x * y) := by
rw [cpow_ofReal]; generalize arg x * y = z; simp [Real.sin]
theorem norm_cpow_of_ne_zero {z : ℂ} (hz : z ≠ 0) (w : ℂ) :
‖z ^ w‖ = ‖z‖ ^ w.re / Real.exp (arg z * im w) := by
rw [cpow_def_of_ne_zero hz, norm_exp, mul_re, log_re, log_im, Real.exp_sub,
Real.rpow_def_of_pos (norm_pos_iff.mpr hz)]
theorem norm_cpow_of_imp {z w : ℂ} (h : z = 0 → w.re = 0 → w = 0) :
‖z ^ w‖ = ‖z‖ ^ w.re / Real.exp (arg z * im w) := by
rcases ne_or_eq z 0 with (hz | rfl) <;> [exact norm_cpow_of_ne_zero hz w; rw [norm_zero]]
rcases eq_or_ne w.re 0 with hw | hw
· simp [hw, h rfl hw]
· rw [Real.zero_rpow hw, zero_div, zero_cpow, norm_zero]
exact ne_of_apply_ne re hw
theorem norm_cpow_le (z w : ℂ) : ‖z ^ w‖ ≤ ‖z‖ ^ w.re / Real.exp (arg z * im w) := by
by_cases h : z = 0 → w.re = 0 → w = 0
· exact (norm_cpow_of_imp h).le
· push_neg at h
simp [h]
@[simp]
theorem norm_cpow_real (x : ℂ) (y : ℝ) : ‖x ^ (y : ℂ)‖ = ‖x‖ ^ y := by
rw [norm_cpow_of_imp] <;> simp
@[simp]
theorem norm_cpow_inv_nat (x : ℂ) (n : ℕ) : ‖x ^ (n⁻¹ : ℂ)‖ = ‖x‖ ^ (n⁻¹ : ℝ) := by
rw [← norm_cpow_real]; simp
theorem norm_cpow_eq_rpow_re_of_pos {x : ℝ} (hx : 0 < x) (y : ℂ) : ‖(x : ℂ) ^ y‖ = x ^ y.re := by
rw [norm_cpow_of_ne_zero (ofReal_ne_zero.mpr hx.ne'), arg_ofReal_of_nonneg hx.le,
zero_mul, Real.exp_zero, div_one, Complex.norm_of_nonneg hx.le]
theorem norm_cpow_eq_rpow_re_of_nonneg {x : ℝ} (hx : 0 ≤ x) {y : ℂ} (hy : re y ≠ 0) :
‖(x : ℂ) ^ y‖ = x ^ re y := by
rw [norm_cpow_of_imp] <;> simp [*, arg_ofReal_of_nonneg, abs_of_nonneg]
@[deprecated (since := "2025-02-17")] alias abs_cpow_of_ne_zero := norm_cpow_of_ne_zero
@[deprecated (since := "2025-02-17")] alias abs_cpow_of_imp := norm_cpow_of_imp
@[deprecated (since := "2025-02-17")] alias abs_cpow_le := norm_cpow_le
@[deprecated (since := "2025-02-17")] alias abs_cpow_real := norm_cpow_real
@[deprecated (since := "2025-02-17")] alias abs_cpow_inv_nat := norm_cpow_inv_nat
@[deprecated (since := "2025-02-17")] alias abs_cpow_eq_rpow_re_of_pos :=
norm_cpow_eq_rpow_re_of_pos
@[deprecated (since := "2025-02-17")] alias abs_cpow_eq_rpow_re_of_nonneg :=
norm_cpow_eq_rpow_re_of_nonneg
open Filter in
lemma norm_ofReal_cpow_eventually_eq_atTop (c : ℂ) :
(fun t : ℝ ↦ ‖(t : ℂ) ^ c‖) =ᶠ[atTop] fun t ↦ t ^ c.re := by
filter_upwards [eventually_gt_atTop 0] with t ht
rw [norm_cpow_eq_rpow_re_of_pos ht]
lemma norm_natCast_cpow_of_re_ne_zero (n : ℕ) {s : ℂ} (hs : s.re ≠ 0) :
‖(n : ℂ) ^ s‖ = (n : ℝ) ^ (s.re) := by
rw [← ofReal_natCast, norm_cpow_eq_rpow_re_of_nonneg n.cast_nonneg hs]
lemma norm_natCast_cpow_of_pos {n : ℕ} (hn : 0 < n) (s : ℂ) :
‖(n : ℂ) ^ s‖ = (n : ℝ) ^ (s.re) := by
rw [← ofReal_natCast, norm_cpow_eq_rpow_re_of_pos (Nat.cast_pos.mpr hn) _]
lemma norm_natCast_cpow_pos_of_pos {n : ℕ} (hn : 0 < n) (s : ℂ) : 0 < ‖(n : ℂ) ^ s‖ :=
(norm_natCast_cpow_of_pos hn _).symm ▸ Real.rpow_pos_of_pos (Nat.cast_pos.mpr hn) _
theorem cpow_mul_ofReal_nonneg {x : ℝ} (hx : 0 ≤ x) (y : ℝ) (z : ℂ) :
(x : ℂ) ^ (↑y * z) = (↑(x ^ y) : ℂ) ^ z := by
rw [cpow_mul, ofReal_cpow hx]
· rw [← ofReal_log hx, ← ofReal_mul, ofReal_im, neg_lt_zero]; exact Real.pi_pos
· rw [← ofReal_log hx, ← ofReal_mul, ofReal_im]; exact Real.pi_pos.le
end Complex
/-! ### Positivity extension -/
namespace Mathlib.Meta.Positivity
open Lean Meta Qq
/-- Extension for the `positivity` tactic: exponentiation by a real number is positive (namely 1)
when the exponent is zero. The other cases are done in `evalRpow`. -/
@[positivity (_ : ℝ) ^ (0 : ℝ)]
def evalRpowZero : PositivityExt where eval {u α} _ _ e := do
match u, α, e with
| 0, ~q(ℝ), ~q($a ^ (0 : ℝ)) =>
assertInstancesCommute
pure (.positive q(Real.rpow_zero_pos $a))
| _, _, _ => throwError "not Real.rpow"
/-- Extension for the `positivity` tactic: exponentiation by a real number is nonnegative when
the base is nonnegative and positive when the base is positive. -/
@[positivity (_ : ℝ) ^ (_ : ℝ)]
def evalRpow : PositivityExt where eval {u α} _zα _pα e := do
match u, α, e with
| 0, ~q(ℝ), ~q($a ^ ($b : ℝ)) =>
let ra ← core q(inferInstance) q(inferInstance) a
assertInstancesCommute
match ra with
| .positive pa =>
pure (.positive q(Real.rpow_pos_of_pos $pa $b))
| .nonnegative pa =>
pure (.nonnegative q(Real.rpow_nonneg $pa $b))
| _ => pure .none
| _, _, _ => throwError "not Real.rpow"
end Mathlib.Meta.Positivity
/-!
## Further algebraic properties of `rpow`
-/
namespace Real
variable {x y z : ℝ} {n : ℕ}
theorem rpow_mul {x : ℝ} (hx : 0 ≤ x) (y z : ℝ) : x ^ (y * z) = (x ^ y) ^ z := by
rw [← Complex.ofReal_inj, Complex.ofReal_cpow (rpow_nonneg hx _),
Complex.ofReal_cpow hx, Complex.ofReal_mul, Complex.cpow_mul, Complex.ofReal_cpow hx] <;>
simp only [(Complex.ofReal_mul _ _).symm, (Complex.ofReal_log hx).symm, Complex.ofReal_im,
neg_lt_zero, pi_pos, le_of_lt pi_pos]
lemma rpow_pow_comm {x : ℝ} (hx : 0 ≤ x) (y : ℝ) (n : ℕ) : (x ^ y) ^ n = (x ^ n) ^ y := by
simp_rw [← rpow_natCast, ← rpow_mul hx, mul_comm y]
lemma rpow_zpow_comm {x : ℝ} (hx : 0 ≤ x) (y : ℝ) (n : ℤ) : (x ^ y) ^ n = (x ^ n) ^ y := by
simp_rw [← rpow_intCast, ← rpow_mul hx, mul_comm y]
lemma rpow_add_intCast {x : ℝ} (hx : x ≠ 0) (y : ℝ) (n : ℤ) : x ^ (y + n) = x ^ y * x ^ n := by
rw [rpow_def, rpow_def, Complex.ofReal_add,
Complex.cpow_add _ _ (Complex.ofReal_ne_zero.mpr hx), Complex.ofReal_intCast,
Complex.cpow_intCast, ← Complex.ofReal_zpow, mul_comm, Complex.re_ofReal_mul, mul_comm]
lemma rpow_add_natCast {x : ℝ} (hx : x ≠ 0) (y : ℝ) (n : ℕ) : x ^ (y + n) = x ^ y * x ^ n := by
simpa using rpow_add_intCast hx y n
lemma rpow_sub_intCast {x : ℝ} (hx : x ≠ 0) (y : ℝ) (n : ℕ) : x ^ (y - n) = x ^ y / x ^ n := by
simpa using rpow_add_intCast hx y (-n)
lemma rpow_sub_natCast {x : ℝ} (hx : x ≠ 0) (y : ℝ) (n : ℕ) : x ^ (y - n) = x ^ y / x ^ n := by
simpa using rpow_sub_intCast hx y n
lemma rpow_add_intCast' (hx : 0 ≤ x) {n : ℤ} (h : y + n ≠ 0) : x ^ (y + n) = x ^ y * x ^ n := by
rw [rpow_add' hx h, rpow_intCast]
lemma rpow_add_natCast' (hx : 0 ≤ x) (h : y + n ≠ 0) : x ^ (y + n) = x ^ y * x ^ n := by
rw [rpow_add' hx h, rpow_natCast]
lemma rpow_sub_intCast' (hx : 0 ≤ x) {n : ℤ} (h : y - n ≠ 0) : x ^ (y - n) = x ^ y / x ^ n := by
rw [rpow_sub' hx h, rpow_intCast]
lemma rpow_sub_natCast' (hx : 0 ≤ x) (h : y - n ≠ 0) : x ^ (y - n) = x ^ y / x ^ n := by
rw [rpow_sub' hx h, rpow_natCast]
theorem rpow_add_one {x : ℝ} (hx : x ≠ 0) (y : ℝ) : x ^ (y + 1) = x ^ y * x := by
simpa using rpow_add_natCast hx y 1
theorem rpow_sub_one {x : ℝ} (hx : x ≠ 0) (y : ℝ) : x ^ (y - 1) = x ^ y / x := by
simpa using rpow_sub_natCast hx y 1
lemma rpow_add_one' (hx : 0 ≤ x) (h : y + 1 ≠ 0) : x ^ (y + 1) = x ^ y * x := by
rw [rpow_add' hx h, rpow_one]
lemma rpow_one_add' (hx : 0 ≤ x) (h : 1 + y ≠ 0) : x ^ (1 + y) = x * x ^ y := by
rw [rpow_add' hx h, rpow_one]
lemma rpow_sub_one' (hx : 0 ≤ x) (h : y - 1 ≠ 0) : x ^ (y - 1) = x ^ y / x := by
rw [rpow_sub' hx h, rpow_one]
lemma rpow_one_sub' (hx : 0 ≤ x) (h : 1 - y ≠ 0) : x ^ (1 - y) = x / x ^ y := by
rw [rpow_sub' hx h, rpow_one]
@[simp]
theorem rpow_two (x : ℝ) : x ^ (2 : ℝ) = x ^ 2 := by
rw [← rpow_natCast]
simp only [Nat.cast_ofNat]
theorem rpow_neg_one (x : ℝ) : x ^ (-1 : ℝ) = x⁻¹ := by
suffices H : x ^ ((-1 : ℤ) : ℝ) = x⁻¹ by rwa [Int.cast_neg, Int.cast_one] at H
simp only [rpow_intCast, zpow_one, zpow_neg]
theorem mul_rpow (hx : 0 ≤ x) (hy : 0 ≤ y) : (x * y) ^ z = x ^ z * y ^ z := by
iterate 2 rw [Real.rpow_def_of_nonneg]; split_ifs with h_ifs <;> simp_all
· rw [log_mul ‹_› ‹_›, add_mul, exp_add, rpow_def_of_pos (hy.lt_of_ne' ‹_›)]
all_goals positivity
theorem inv_rpow (hx : 0 ≤ x) (y : ℝ) : x⁻¹ ^ y = (x ^ y)⁻¹ := by
simp only [← rpow_neg_one, ← rpow_mul hx, mul_comm]
theorem div_rpow (hx : 0 ≤ x) (hy : 0 ≤ y) (z : ℝ) : (x / y) ^ z = x ^ z / y ^ z := by
simp only [div_eq_mul_inv, mul_rpow hx (inv_nonneg.2 hy), inv_rpow hy]
theorem log_rpow {x : ℝ} (hx : 0 < x) (y : ℝ) : log (x ^ y) = y * log x := by
apply exp_injective
rw [exp_log (rpow_pos_of_pos hx y), ← exp_log hx, mul_comm, rpow_def_of_pos (exp_pos (log x)) y]
|
theorem mul_log_eq_log_iff {x y z : ℝ} (hx : 0 < x) (hz : 0 < z) :
y * log x = log z ↔ x ^ y = z :=
| Mathlib/Analysis/SpecialFunctions/Pow/Real.lean | 472 | 474 |
/-
Copyright (c) 2022 Joseph Myers. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Joseph Myers, Heather Macbeth
-/
import Mathlib.Analysis.SpecialFunctions.Complex.Circle
import Mathlib.Geometry.Euclidean.Angle.Oriented.Basic
/-!
# Rotations by oriented angles.
This file defines rotations by oriented angles in real inner product spaces.
## Main definitions
* `Orientation.rotation` is the rotation by an oriented angle with respect to an orientation.
-/
noncomputable section
open Module Complex
open scoped Real RealInnerProductSpace ComplexConjugate
namespace Orientation
attribute [local instance] Complex.finrank_real_complex_fact
variable {V V' : Type*}
variable [NormedAddCommGroup V] [NormedAddCommGroup V']
variable [InnerProductSpace ℝ V] [InnerProductSpace ℝ V']
variable [Fact (finrank ℝ V = 2)] [Fact (finrank ℝ V' = 2)] (o : Orientation ℝ V (Fin 2))
local notation "J" => o.rightAngleRotation
/-- Auxiliary construction to build a rotation by the oriented angle `θ`. -/
def rotationAux (θ : Real.Angle) : V →ₗᵢ[ℝ] V :=
LinearMap.isometryOfInner
(Real.Angle.cos θ • LinearMap.id +
Real.Angle.sin θ • (LinearIsometryEquiv.toLinearEquiv J).toLinearMap)
(by
intro x y
simp only [RCLike.conj_to_real, id, LinearMap.smul_apply, LinearMap.add_apply,
LinearMap.id_coe, LinearEquiv.coe_coe, LinearIsometryEquiv.coe_toLinearEquiv,
Orientation.areaForm_rightAngleRotation_left, Orientation.inner_rightAngleRotation_left,
Orientation.inner_rightAngleRotation_right, inner_add_left, inner_smul_left,
inner_add_right, inner_smul_right]
linear_combination inner (𝕜 := ℝ) x y * θ.cos_sq_add_sin_sq)
@[simp]
theorem rotationAux_apply (θ : Real.Angle) (x : V) :
o.rotationAux θ x = Real.Angle.cos θ • x + Real.Angle.sin θ • J x :=
rfl
/-- A rotation by the oriented angle `θ`. -/
def rotation (θ : Real.Angle) : V ≃ₗᵢ[ℝ] V :=
LinearIsometryEquiv.ofLinearIsometry (o.rotationAux θ)
(Real.Angle.cos θ • LinearMap.id -
Real.Angle.sin θ • (LinearIsometryEquiv.toLinearEquiv J).toLinearMap)
(by
ext x
convert congr_arg (fun t : ℝ => t • x) θ.cos_sq_add_sin_sq using 1
· simp only [o.rightAngleRotation_rightAngleRotation, o.rotationAux_apply,
Function.comp_apply, id, LinearEquiv.coe_coe, LinearIsometry.coe_toLinearMap,
LinearIsometryEquiv.coe_toLinearEquiv, map_smul, map_sub, LinearMap.coe_comp,
LinearMap.id_coe, LinearMap.smul_apply, LinearMap.sub_apply]
module
· simp)
(by
ext x
convert congr_arg (fun t : ℝ => t • x) θ.cos_sq_add_sin_sq using 1
· simp only [o.rightAngleRotation_rightAngleRotation, o.rotationAux_apply,
Function.comp_apply, id, LinearEquiv.coe_coe, LinearIsometry.coe_toLinearMap,
LinearIsometryEquiv.coe_toLinearEquiv, map_add, map_smul, LinearMap.coe_comp,
LinearMap.id_coe, LinearMap.smul_apply, LinearMap.sub_apply]
module
· simp)
theorem rotation_apply (θ : Real.Angle) (x : V) :
o.rotation θ x = Real.Angle.cos θ • x + Real.Angle.sin θ • J x :=
rfl
theorem rotation_symm_apply (θ : Real.Angle) (x : V) :
(o.rotation θ).symm x = Real.Angle.cos θ • x - Real.Angle.sin θ • J x :=
rfl
theorem rotation_eq_matrix_toLin (θ : Real.Angle) {x : V} (hx : x ≠ 0) :
(o.rotation θ).toLinearMap =
Matrix.toLin (o.basisRightAngleRotation x hx) (o.basisRightAngleRotation x hx)
!![θ.cos, -θ.sin; θ.sin, θ.cos] := by
apply (o.basisRightAngleRotation x hx).ext
intro i
fin_cases i
· rw [Matrix.toLin_self]
simp [rotation_apply, Fin.sum_univ_succ]
· rw [Matrix.toLin_self]
simp [rotation_apply, Fin.sum_univ_succ, add_comm]
/-- The determinant of `rotation` (as a linear map) is equal to `1`. -/
@[simp]
theorem det_rotation (θ : Real.Angle) : LinearMap.det (o.rotation θ).toLinearMap = 1 := by
haveI : Nontrivial V := nontrivial_of_finrank_eq_succ (@Fact.out (finrank ℝ V = 2) _)
obtain ⟨x, hx⟩ : ∃ x, x ≠ (0 : V) := exists_ne (0 : V)
rw [o.rotation_eq_matrix_toLin θ hx]
simpa [sq] using θ.cos_sq_add_sin_sq
/-- The determinant of `rotation` (as a linear equiv) is equal to `1`. -/
@[simp]
theorem linearEquiv_det_rotation (θ : Real.Angle) :
LinearEquiv.det (o.rotation θ).toLinearEquiv = 1 :=
Units.ext <| by
-- Porting note: Lean can't see through `LinearEquiv.coe_det` and needed the rewrite
-- in mathlib3 this was just `units.ext <| o.det_rotation θ`
simpa only [LinearEquiv.coe_det, Units.val_one] using o.det_rotation θ
/-- The inverse of `rotation` is rotation by the negation of the angle. -/
@[simp]
theorem rotation_symm (θ : Real.Angle) : (o.rotation θ).symm = o.rotation (-θ) := by
ext; simp [o.rotation_apply, o.rotation_symm_apply, sub_eq_add_neg]
/-- Rotation by 0 is the identity. -/
@[simp]
theorem rotation_zero : o.rotation 0 = LinearIsometryEquiv.refl ℝ V := by ext; simp [rotation]
/-- Rotation by π is negation. -/
@[simp]
theorem rotation_pi : o.rotation π = LinearIsometryEquiv.neg ℝ := by
ext x
simp [rotation]
/-- Rotation by π is negation. -/
theorem rotation_pi_apply (x : V) : o.rotation π x = -x := by simp
/-- Rotation by π / 2 is the "right-angle-rotation" map `J`. -/
theorem rotation_pi_div_two : o.rotation (π / 2 : ℝ) = J := by
ext x
simp [rotation]
/-- Rotating twice is equivalent to rotating by the sum of the angles. -/
@[simp]
theorem rotation_rotation (θ₁ θ₂ : Real.Angle) (x : V) :
o.rotation θ₁ (o.rotation θ₂ x) = o.rotation (θ₁ + θ₂) x := by
simp only [o.rotation_apply, Real.Angle.cos_add, Real.Angle.sin_add, LinearIsometryEquiv.map_add,
LinearIsometryEquiv.trans_apply, map_smul, rightAngleRotation_rightAngleRotation]
module
/-- Rotating twice is equivalent to rotating by the sum of the angles. -/
@[simp]
theorem rotation_trans (θ₁ θ₂ : Real.Angle) :
(o.rotation θ₁).trans (o.rotation θ₂) = o.rotation (θ₂ + θ₁) :=
LinearIsometryEquiv.ext fun _ => by rw [← rotation_rotation, LinearIsometryEquiv.trans_apply]
/-- Rotating the first of two vectors by `θ` scales their Kahler form by `cos θ - sin θ * I`. -/
@[simp]
theorem kahler_rotation_left (x y : V) (θ : Real.Angle) :
o.kahler (o.rotation θ x) y = conj (θ.toCircle : ℂ) * o.kahler x y := by
-- Porting note: this needed the `Complex.conj_ofReal` instead of `RCLike.conj_ofReal`;
-- I believe this is because the respective coercions are no longer defeq, and
-- `Real.Angle.coe_toCircle` uses the `Complex` version.
simp only [o.rotation_apply, map_add, map_mul, LinearMap.map_smulₛₗ, RingHom.id_apply,
LinearMap.add_apply, LinearMap.smul_apply, real_smul, kahler_rightAngleRotation_left,
Real.Angle.coe_toCircle, Complex.conj_ofReal, conj_I]
ring
/-- Negating a rotation is equivalent to rotation by π plus the angle. -/
theorem neg_rotation (θ : Real.Angle) (x : V) : -o.rotation θ x = o.rotation (π + θ) x := by
rw [← o.rotation_pi_apply, rotation_rotation]
/-- Negating a rotation by -π / 2 is equivalent to rotation by π / 2. -/
@[simp]
theorem neg_rotation_neg_pi_div_two (x : V) :
-o.rotation (-π / 2 : ℝ) x = o.rotation (π / 2 : ℝ) x := by
rw [neg_rotation, ← Real.Angle.coe_add, neg_div, ← sub_eq_add_neg, sub_half]
/-- Negating a rotation by π / 2 is equivalent to rotation by -π / 2. -/
theorem neg_rotation_pi_div_two (x : V) : -o.rotation (π / 2 : ℝ) x = o.rotation (-π / 2 : ℝ) x :=
(neg_eq_iff_eq_neg.mp <| o.neg_rotation_neg_pi_div_two _).symm
/-- Rotating the first of two vectors by `θ` scales their Kahler form by `cos (-θ) + sin (-θ) * I`.
-/
theorem kahler_rotation_left' (x y : V) (θ : Real.Angle) :
o.kahler (o.rotation θ x) y = (-θ).toCircle * o.kahler x y := by
simp only [Real.Angle.toCircle_neg, Circle.coe_inv_eq_conj, kahler_rotation_left]
/-- Rotating the second of two vectors by `θ` scales their Kahler form by `cos θ + sin θ * I`. -/
@[simp]
theorem kahler_rotation_right (x y : V) (θ : Real.Angle) :
o.kahler x (o.rotation θ y) = θ.toCircle * o.kahler x y := by
simp only [o.rotation_apply, map_add, LinearMap.map_smulₛₗ, RingHom.id_apply, real_smul,
kahler_rightAngleRotation_right, Real.Angle.coe_toCircle]
ring
/-- Rotating the first vector by `θ` subtracts `θ` from the angle between two vectors. -/
@[simp]
theorem oangle_rotation_left {x y : V} (hx : x ≠ 0) (hy : y ≠ 0) (θ : Real.Angle) :
o.oangle (o.rotation θ x) y = o.oangle x y - θ := by
simp only [oangle, o.kahler_rotation_left']
rw [Complex.arg_mul_coe_angle, Real.Angle.arg_toCircle]
· abel
· exact Circle.coe_ne_zero _
· exact o.kahler_ne_zero hx hy
/-- Rotating the second vector by `θ` adds `θ` to the angle between two vectors. -/
@[simp]
theorem oangle_rotation_right {x y : V} (hx : x ≠ 0) (hy : y ≠ 0) (θ : Real.Angle) :
o.oangle x (o.rotation θ y) = o.oangle x y + θ := by
simp only [oangle, o.kahler_rotation_right]
rw [Complex.arg_mul_coe_angle, Real.Angle.arg_toCircle]
· abel
· exact Circle.coe_ne_zero _
· exact o.kahler_ne_zero hx hy
/-- The rotation of a vector by `θ` has an angle of `-θ` from that vector. -/
@[simp]
theorem oangle_rotation_self_left {x : V} (hx : x ≠ 0) (θ : Real.Angle) :
o.oangle (o.rotation θ x) x = -θ := by simp [hx]
/-- A vector has an angle of `θ` from the rotation of that vector by `θ`. -/
@[simp]
theorem oangle_rotation_self_right {x : V} (hx : x ≠ 0) (θ : Real.Angle) :
o.oangle x (o.rotation θ x) = θ := by simp [hx]
/-- Rotating the first vector by the angle between the two vectors results in an angle of 0. -/
@[simp]
theorem oangle_rotation_oangle_left (x y : V) : o.oangle (o.rotation (o.oangle x y) x) y = 0 := by
by_cases hx : x = 0
· simp [hx]
· by_cases hy : y = 0
· simp [hy]
· simp [hx, hy]
/-- Rotating the first vector by the angle between the two vectors and swapping the vectors
results in an angle of 0. -/
@[simp]
theorem oangle_rotation_oangle_right (x y : V) : o.oangle y (o.rotation (o.oangle x y) x) = 0 := by
rw [oangle_rev]
simp
/-- Rotating both vectors by the same angle does not change the angle between those vectors. -/
@[simp]
theorem oangle_rotation (x y : V) (θ : Real.Angle) :
o.oangle (o.rotation θ x) (o.rotation θ y) = o.oangle x y := by
by_cases hx : x = 0 <;> by_cases hy : y = 0 <;> simp [hx, hy]
/-- A rotation of a nonzero vector equals that vector if and only if the angle is zero. -/
@[simp]
theorem rotation_eq_self_iff_angle_eq_zero {x : V} (hx : x ≠ 0) (θ : Real.Angle) :
o.rotation θ x = x ↔ θ = 0 := by
constructor
· intro h
rw [eq_comm]
simpa [hx, h] using o.oangle_rotation_right hx hx θ
· intro h
simp [h]
/-- A nonzero vector equals a rotation of that vector if and only if the angle is zero. -/
@[simp]
theorem eq_rotation_self_iff_angle_eq_zero {x : V} (hx : x ≠ 0) (θ : Real.Angle) :
x = o.rotation θ x ↔ θ = 0 := by rw [← o.rotation_eq_self_iff_angle_eq_zero hx, eq_comm]
/-- A rotation of a vector equals that vector if and only if the vector or the angle is zero. -/
theorem rotation_eq_self_iff (x : V) (θ : Real.Angle) : o.rotation θ x = x ↔ x = 0 ∨ θ = 0 := by
by_cases h : x = 0 <;> simp [h]
/-- A vector equals a rotation of that vector if and only if the vector or the angle is zero. -/
theorem eq_rotation_self_iff (x : V) (θ : Real.Angle) : x = o.rotation θ x ↔ x = 0 ∨ θ = 0 := by
rw [← rotation_eq_self_iff, eq_comm]
/-- Rotating a vector by the angle to another vector gives the second vector if and only if the
norms are equal. -/
@[simp]
theorem rotation_oangle_eq_iff_norm_eq (x y : V) : o.rotation (o.oangle x y) x = y ↔ ‖x‖ = ‖y‖ := by
constructor
· intro h
rw [← h, LinearIsometryEquiv.norm_map]
· intro h
rw [o.eq_iff_oangle_eq_zero_of_norm_eq] <;> simp [h]
/-- The angle between two nonzero vectors is `θ` if and only if the second vector is the first
rotated by `θ` and scaled by the ratio of the norms. -/
theorem oangle_eq_iff_eq_norm_div_norm_smul_rotation_of_ne_zero {x y : V} (hx : x ≠ 0) (hy : y ≠ 0)
(θ : Real.Angle) : o.oangle x y = θ ↔ y = (‖y‖ / ‖x‖) • o.rotation θ x := by
have hp := div_pos (norm_pos_iff.2 hy) (norm_pos_iff.2 hx)
constructor
· rintro rfl
rw [← LinearIsometryEquiv.map_smul, ← o.oangle_smul_left_of_pos x y hp, eq_comm,
rotation_oangle_eq_iff_norm_eq, norm_smul, Real.norm_of_nonneg hp.le,
div_mul_cancel₀ _ (norm_ne_zero_iff.2 hx)]
· intro hye
rw [hye, o.oangle_smul_right_of_pos _ _ hp, o.oangle_rotation_self_right hx]
/-- The angle between two nonzero vectors is `θ` if and only if the second vector is the first
rotated by `θ` and scaled by a positive real. -/
theorem oangle_eq_iff_eq_pos_smul_rotation_of_ne_zero {x y : V} (hx : x ≠ 0) (hy : y ≠ 0)
(θ : Real.Angle) : o.oangle x y = θ ↔ ∃ r : ℝ, 0 < r ∧ y = r • o.rotation θ x := by
constructor
· intro h
rw [o.oangle_eq_iff_eq_norm_div_norm_smul_rotation_of_ne_zero hx hy] at h
exact ⟨‖y‖ / ‖x‖, div_pos (norm_pos_iff.2 hy) (norm_pos_iff.2 hx), h⟩
· rintro ⟨r, hr, rfl⟩
rw [o.oangle_smul_right_of_pos _ _ hr, o.oangle_rotation_self_right hx]
/-- The angle between two vectors is `θ` if and only if they are nonzero and the second vector
is the first rotated by `θ` and scaled by the ratio of the norms, or `θ` and at least one of the
vectors are zero. -/
theorem oangle_eq_iff_eq_norm_div_norm_smul_rotation_or_eq_zero {x y : V} (θ : Real.Angle) :
o.oangle x y = θ ↔
x ≠ 0 ∧ y ≠ 0 ∧ y = (‖y‖ / ‖x‖) • o.rotation θ x ∨ θ = 0 ∧ (x = 0 ∨ y = 0) := by
by_cases hx : x = 0
· simp [hx, eq_comm]
· by_cases hy : y = 0
· simp [hy, eq_comm]
· rw [o.oangle_eq_iff_eq_norm_div_norm_smul_rotation_of_ne_zero hx hy]
simp [hx, hy]
/-- The angle between two vectors is `θ` if and only if they are nonzero and the second vector
is the first rotated by `θ` and scaled by a positive real, or `θ` and at least one of the
vectors are zero. -/
theorem oangle_eq_iff_eq_pos_smul_rotation_or_eq_zero {x y : V} (θ : Real.Angle) :
o.oangle x y = θ ↔
(x ≠ 0 ∧ y ≠ 0 ∧ ∃ r : ℝ, 0 < r ∧ y = r • o.rotation θ x) ∨ θ = 0 ∧ (x = 0 ∨ y = 0) := by
by_cases hx : x = 0
· simp [hx, eq_comm]
· by_cases hy : y = 0
· simp [hy, eq_comm]
· rw [o.oangle_eq_iff_eq_pos_smul_rotation_of_ne_zero hx hy]
simp [hx, hy]
/-- Any linear isometric equivalence in `V` with positive determinant is `rotation`. -/
theorem exists_linearIsometryEquiv_eq_of_det_pos {f : V ≃ₗᵢ[ℝ] V}
(hd : 0 < LinearMap.det (f.toLinearEquiv : V →ₗ[ℝ] V)) :
∃ θ : Real.Angle, f = o.rotation θ := by
haveI : Nontrivial V := nontrivial_of_finrank_eq_succ (@Fact.out (finrank ℝ V = 2) _)
obtain ⟨x, hx⟩ : ∃ x, x ≠ (0 : V) := exists_ne (0 : V)
use o.oangle x (f x)
apply LinearIsometryEquiv.toLinearEquiv_injective
apply LinearEquiv.toLinearMap_injective
apply (o.basisRightAngleRotation x hx).ext
intro i
symm
fin_cases i
· simp
have : o.oangle (J x) (f (J x)) = o.oangle x (f x) := by
simp only [oangle, o.linearIsometryEquiv_comp_rightAngleRotation f hd,
o.kahler_comp_rightAngleRotation]
simp [← this]
theorem rotation_map (θ : Real.Angle) (f : V ≃ₗᵢ[ℝ] V') (x : V') :
(Orientation.map (Fin 2) f.toLinearEquiv o).rotation θ x = f (o.rotation θ (f.symm x)) := by
simp [rotation_apply, o.rightAngleRotation_map]
@[simp]
protected theorem _root_.Complex.rotation (θ : Real.Angle) (z : ℂ) :
Complex.orientation.rotation θ z = θ.toCircle * z := by
simp only [rotation_apply, Complex.rightAngleRotation, Real.Angle.coe_toCircle, real_smul]
ring
/-- Rotation in an oriented real inner product space of dimension 2 can be evaluated in terms of a
complex-number representation of the space. -/
theorem rotation_map_complex (θ : Real.Angle) (f : V ≃ₗᵢ[ℝ] ℂ)
(hf : Orientation.map (Fin 2) f.toLinearEquiv o = Complex.orientation) (x : V) :
f (o.rotation θ x) = θ.toCircle * f x := by
rw [← Complex.rotation, ← hf, o.rotation_map, LinearIsometryEquiv.symm_apply_apply]
/-- Negating the orientation negates the angle in `rotation`. -/
theorem rotation_neg_orientation_eq_neg (θ : Real.Angle) : (-o).rotation θ = o.rotation (-θ) :=
LinearIsometryEquiv.ext <| by simp [rotation_apply]
/-- The inner product between a `π / 2` rotation of a vector and that vector is zero. -/
@[simp]
theorem inner_rotation_pi_div_two_left (x : V) : ⟪o.rotation (π / 2 : ℝ) x, x⟫ = 0 := by
rw [rotation_pi_div_two, inner_rightAngleRotation_self]
/-- The inner product between a vector and a `π / 2` rotation of that vector is zero. -/
@[simp]
theorem inner_rotation_pi_div_two_right (x : V) : ⟪x, o.rotation (π / 2 : ℝ) x⟫ = 0 := by
rw [real_inner_comm, inner_rotation_pi_div_two_left]
/-- The inner product between a multiple of a `π / 2` rotation of a vector and that vector is
zero. -/
@[simp]
theorem inner_smul_rotation_pi_div_two_left (x : V) (r : ℝ) :
⟪r • o.rotation (π / 2 : ℝ) x, x⟫ = 0 := by
rw [inner_smul_left, inner_rotation_pi_div_two_left, mul_zero]
/-- The inner product between a vector and a multiple of a `π / 2` rotation of that vector is
zero. -/
@[simp]
theorem inner_smul_rotation_pi_div_two_right (x : V) (r : ℝ) :
⟪x, r • o.rotation (π / 2 : ℝ) x⟫ = 0 := by
rw [real_inner_comm, inner_smul_rotation_pi_div_two_left]
/-- The inner product between a `π / 2` rotation of a vector and a multiple of that vector is
zero. -/
| @[simp]
theorem inner_rotation_pi_div_two_left_smul (x : V) (r : ℝ) :
⟪o.rotation (π / 2 : ℝ) x, r • x⟫ = 0 := by
| Mathlib/Geometry/Euclidean/Angle/Oriented/Rotation.lean | 397 | 399 |
/-
Copyright (c) 2021 Stuart Presnell. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Stuart Presnell
-/
import Mathlib.Data.Nat.PrimeFin
import Mathlib.Data.Nat.Factorization.Defs
import Mathlib.Data.Nat.GCD.BigOperators
import Mathlib.Order.Interval.Finset.Nat
import Mathlib.Tactic.IntervalCases
/-!
# Basic lemmas on prime factorizations
-/
open Finset List Finsupp
namespace Nat
variable {a b m n p : ℕ}
/-! ### Basic facts about factorization -/
/-! ## Lemmas characterising when `n.factorization p = 0` -/
theorem factorization_eq_zero_of_lt {n p : ℕ} (h : n < p) : n.factorization p = 0 :=
Finsupp.not_mem_support_iff.mp (mt le_of_mem_primeFactors (not_le_of_lt h))
@[simp]
theorem factorization_one_right (n : ℕ) : n.factorization 1 = 0 :=
factorization_eq_zero_of_non_prime _ not_prime_one
theorem dvd_of_factorization_pos {n p : ℕ} (hn : n.factorization p ≠ 0) : p ∣ n :=
dvd_of_mem_primeFactorsList <| mem_primeFactors_iff_mem_primeFactorsList.1 <| mem_support_iff.2 hn
theorem factorization_eq_zero_iff_remainder {p r : ℕ} (i : ℕ) (pp : p.Prime) (hr0 : r ≠ 0) :
¬p ∣ r ↔ (p * i + r).factorization p = 0 := by
refine ⟨factorization_eq_zero_of_remainder i, fun h => ?_⟩
rw [factorization_eq_zero_iff] at h
contrapose! h
refine ⟨pp, ?_, ?_⟩
· rwa [← Nat.dvd_add_iff_right (dvd_mul_right p i)]
· contrapose! hr0
exact (add_eq_zero.1 hr0).2
/-- The only numbers with empty prime factorization are `0` and `1` -/
theorem factorization_eq_zero_iff' (n : ℕ) : n.factorization = 0 ↔ n = 0 ∨ n = 1 := by
rw [factorization_eq_primeFactorsList_multiset n]
simp [factorization, AddEquiv.map_eq_zero_iff, Multiset.coe_eq_zero]
/-! ## Lemmas about factorizations of products and powers -/
/-- A product over `n.factorization` can be written as a product over `n.primeFactors`; -/
lemma prod_factorization_eq_prod_primeFactors {β : Type*} [CommMonoid β] (f : ℕ → ℕ → β) :
n.factorization.prod f = ∏ p ∈ n.primeFactors, f p (n.factorization p) := rfl
/-- A product over `n.primeFactors` can be written as a product over `n.factorization`; -/
lemma prod_primeFactors_prod_factorization {β : Type*} [CommMonoid β] (f : ℕ → β) :
∏ p ∈ n.primeFactors, f p = n.factorization.prod (fun p _ ↦ f p) := rfl
/-! ## Lemmas about factorizations of primes and prime powers -/
/-- The multiplicity of prime `p` in `p` is `1` -/
@[simp]
theorem Prime.factorization_self {p : ℕ} (hp : Prime p) : p.factorization p = 1 := by simp [hp]
/-- If the factorization of `n` contains just one number `p` then `n` is a power of `p` -/
theorem eq_pow_of_factorization_eq_single {n p k : ℕ} (hn : n ≠ 0)
(h : n.factorization = Finsupp.single p k) : n = p ^ k := by
rw [← Nat.factorization_prod_pow_eq_self hn, h]
simp
/-- The only prime factor of prime `p` is `p` itself. -/
theorem Prime.eq_of_factorization_pos {p q : ℕ} (hp : Prime p) (h : p.factorization q ≠ 0) :
p = q := by simpa [hp.factorization, single_apply] using h
/-! ### Equivalence between `ℕ+` and `ℕ →₀ ℕ` with support in the primes. -/
theorem eq_factorization_iff {n : ℕ} {f : ℕ →₀ ℕ} (hn : n ≠ 0) (hf : ∀ p ∈ f.support, Prime p) :
f = n.factorization ↔ f.prod (· ^ ·) = n :=
⟨fun h => by rw [h, factorization_prod_pow_eq_self hn], fun h => by
rw [← h, prod_pow_factorization_eq_self hf]⟩
theorem factorizationEquiv_inv_apply {f : ℕ →₀ ℕ} (hf : ∀ p ∈ f.support, Prime p) :
(factorizationEquiv.symm ⟨f, hf⟩).1 = f.prod (· ^ ·) :=
rfl
@[simp]
theorem ordProj_of_not_prime (n p : ℕ) (hp : ¬p.Prime) : ordProj[p] n = 1 := by
simp [factorization_eq_zero_of_non_prime n hp]
@[deprecated (since := "2024-10-24")] alias ord_proj_of_not_prime := ordProj_of_not_prime
@[simp]
theorem ordCompl_of_not_prime (n p : ℕ) (hp : ¬p.Prime) : ordCompl[p] n = n := by
simp [factorization_eq_zero_of_non_prime n hp]
@[deprecated (since := "2024-10-24")] alias ord_compl_of_not_prime := ordCompl_of_not_prime
theorem ordCompl_dvd (n p : ℕ) : ordCompl[p] n ∣ n :=
div_dvd_of_dvd (ordProj_dvd n p)
@[deprecated (since := "2024-10-24")] alias ord_compl_dvd := ordCompl_dvd
theorem ordProj_pos (n p : ℕ) : 0 < ordProj[p] n := by
if pp : p.Prime then simp [pow_pos pp.pos] else simp [pp]
@[deprecated (since := "2024-10-24")] alias ord_proj_pos := ordProj_pos
theorem ordProj_le {n : ℕ} (p : ℕ) (hn : n ≠ 0) : ordProj[p] n ≤ n :=
le_of_dvd hn.bot_lt (Nat.ordProj_dvd n p)
@[deprecated (since := "2024-10-24")] alias ord_proj_le := ordProj_le
theorem ordCompl_pos {n : ℕ} (p : ℕ) (hn : n ≠ 0) : 0 < ordCompl[p] n := by
if pp : p.Prime then
exact Nat.div_pos (ordProj_le p hn) (ordProj_pos n p)
else
simpa [Nat.factorization_eq_zero_of_non_prime n pp] using hn.bot_lt
@[deprecated (since := "2024-10-24")] alias ord_compl_pos := ordCompl_pos
theorem ordCompl_le (n p : ℕ) : ordCompl[p] n ≤ n :=
Nat.div_le_self _ _
@[deprecated (since := "2024-10-24")] alias ord_compl_le := ordCompl_le
theorem ordProj_mul_ordCompl_eq_self (n p : ℕ) : ordProj[p] n * ordCompl[p] n = n :=
Nat.mul_div_cancel' (ordProj_dvd n p)
@[deprecated (since := "2024-10-24")]
alias ord_proj_mul_ord_compl_eq_self := ordProj_mul_ordCompl_eq_self
theorem ordProj_mul {a b : ℕ} (p : ℕ) (ha : a ≠ 0) (hb : b ≠ 0) :
ordProj[p] (a * b) = ordProj[p] a * ordProj[p] b := by
simp [factorization_mul ha hb, pow_add]
@[deprecated (since := "2024-10-24")] alias ord_proj_mul := ordProj_mul
theorem ordCompl_mul (a b p : ℕ) : ordCompl[p] (a * b) = ordCompl[p] a * ordCompl[p] b := by
if ha : a = 0 then simp [ha] else
if hb : b = 0 then simp [hb] else
simp only [ordProj_mul p ha hb]
rw [div_mul_div_comm (ordProj_dvd a p) (ordProj_dvd b p)]
@[deprecated (since := "2024-10-24")] alias ord_compl_mul := ordCompl_mul
/-! ### Factorization and divisibility -/
/-- A crude upper bound on `n.factorization p` -/
theorem factorization_lt {n : ℕ} (p : ℕ) (hn : n ≠ 0) : n.factorization p < n := by
by_cases pp : p.Prime
· exact (Nat.pow_lt_pow_iff_right pp.one_lt).1 <| (ordProj_le p hn).trans_lt <|
Nat.lt_pow_self pp.one_lt
· simpa only [factorization_eq_zero_of_non_prime n pp] using hn.bot_lt
/-- An upper bound on `n.factorization p` -/
theorem factorization_le_of_le_pow {n p b : ℕ} (hb : n ≤ p ^ b) : n.factorization p ≤ b := by
if hn : n = 0 then simp [hn] else
if pp : p.Prime then
exact (Nat.pow_le_pow_iff_right pp.one_lt).1 ((ordProj_le p hn).trans hb)
else
simp [factorization_eq_zero_of_non_prime n pp]
theorem factorization_prime_le_iff_dvd {d n : ℕ} (hd : d ≠ 0) (hn : n ≠ 0) :
(∀ p : ℕ, p.Prime → d.factorization p ≤ n.factorization p) ↔ d ∣ n := by
rw [← factorization_le_iff_dvd hd hn]
refine ⟨fun h p => (em p.Prime).elim (h p) fun hp => ?_, fun h p _ => h p⟩
simp_rw [factorization_eq_zero_of_non_prime _ hp]
rfl
theorem factorization_le_factorization_mul_left {a b : ℕ} (hb : b ≠ 0) :
a.factorization ≤ (a * b).factorization := by
rcases eq_or_ne a 0 with (rfl | ha)
· simp
rw [factorization_le_iff_dvd ha <| mul_ne_zero ha hb]
exact Dvd.intro b rfl
theorem factorization_le_factorization_mul_right {a b : ℕ} (ha : a ≠ 0) :
b.factorization ≤ (a * b).factorization := by
rw [mul_comm]
apply factorization_le_factorization_mul_left ha
theorem Prime.pow_dvd_iff_le_factorization {p k n : ℕ} (pp : Prime p) (hn : n ≠ 0) :
p ^ k ∣ n ↔ k ≤ n.factorization p := by
rw [← factorization_le_iff_dvd (pow_pos pp.pos k).ne' hn, pp.factorization_pow, single_le_iff]
theorem Prime.pow_dvd_iff_dvd_ordProj {p k n : ℕ} (pp : Prime p) (hn : n ≠ 0) :
p ^ k ∣ n ↔ p ^ k ∣ ordProj[p] n := by
rw [pow_dvd_pow_iff_le_right pp.one_lt, pp.pow_dvd_iff_le_factorization hn]
@[deprecated (since := "2024-10-24")]
alias Prime.pow_dvd_iff_dvd_ord_proj := Prime.pow_dvd_iff_dvd_ordProj
theorem Prime.dvd_iff_one_le_factorization {p n : ℕ} (pp : Prime p) (hn : n ≠ 0) :
p ∣ n ↔ 1 ≤ n.factorization p :=
Iff.trans (by simp) (pp.pow_dvd_iff_le_factorization hn)
theorem exists_factorization_lt_of_lt {a b : ℕ} (ha : a ≠ 0) (hab : a < b) :
∃ p : ℕ, a.factorization p < b.factorization p := by
have hb : b ≠ 0 := (ha.bot_lt.trans hab).ne'
contrapose! hab
rw [← Finsupp.le_def, factorization_le_iff_dvd hb ha] at hab
exact le_of_dvd ha.bot_lt hab
@[simp]
theorem factorization_div {d n : ℕ} (h : d ∣ n) :
(n / d).factorization = n.factorization - d.factorization := by
rcases eq_or_ne d 0 with (rfl | hd); · simp [zero_dvd_iff.mp h]
rcases eq_or_ne n 0 with (rfl | hn); · simp [tsub_eq_zero_of_le]
apply add_left_injective d.factorization
simp only
rw [tsub_add_cancel_of_le <| (Nat.factorization_le_iff_dvd hd hn).mpr h, ←
Nat.factorization_mul (Nat.div_pos (Nat.le_of_dvd hn.bot_lt h) hd.bot_lt).ne' hd,
Nat.div_mul_cancel h]
theorem dvd_ordProj_of_dvd {n p : ℕ} (hn : n ≠ 0) (pp : p.Prime) (h : p ∣ n) : p ∣ ordProj[p] n :=
dvd_pow_self p (Prime.factorization_pos_of_dvd pp hn h).ne'
@[deprecated (since := "2024-10-24")] alias dvd_ord_proj_of_dvd := dvd_ordProj_of_dvd
theorem not_dvd_ordCompl {n p : ℕ} (hp : Prime p) (hn : n ≠ 0) : ¬p ∣ ordCompl[p] n := by
rw [Nat.Prime.dvd_iff_one_le_factorization hp (ordCompl_pos p hn).ne']
rw [Nat.factorization_div (Nat.ordProj_dvd n p)]
simp [hp.factorization]
@[deprecated (since := "2024-10-24")] alias not_dvd_ord_compl := not_dvd_ordCompl
theorem coprime_ordCompl {n p : ℕ} (hp : Prime p) (hn : n ≠ 0) : Coprime p (ordCompl[p] n) :=
(or_iff_left (not_dvd_ordCompl hp hn)).mp <| coprime_or_dvd_of_prime hp _
@[deprecated (since := "2024-10-24")] alias coprime_ord_compl := coprime_ordCompl
theorem factorization_ordCompl (n p : ℕ) :
(ordCompl[p] n).factorization = n.factorization.erase p := by
if hn : n = 0 then simp [hn] else
if pp : p.Prime then ?_ else
simp [pp]
ext q
rcases eq_or_ne q p with (rfl | hqp)
· simp only [Finsupp.erase_same, factorization_eq_zero_iff, not_dvd_ordCompl pp hn]
simp
· rw [Finsupp.erase_ne hqp, factorization_div (ordProj_dvd n p)]
simp [pp.factorization, hqp.symm]
@[deprecated (since := "2024-10-24")] alias factorization_ord_compl := factorization_ordCompl
-- `ordCompl[p] n` is the largest divisor of `n` not divisible by `p`.
theorem dvd_ordCompl_of_dvd_not_dvd {p d n : ℕ} (hdn : d ∣ n) (hpd : ¬p ∣ d) :
d ∣ ordCompl[p] n := by
if hn0 : n = 0 then simp [hn0] else
if hd0 : d = 0 then simp [hd0] at hpd else
rw [← factorization_le_iff_dvd hd0 (ordCompl_pos p hn0).ne', factorization_ordCompl]
intro q
if hqp : q = p then
simp [factorization_eq_zero_iff, hqp, hpd]
else
simp [hqp, (factorization_le_iff_dvd hd0 hn0).2 hdn q]
@[deprecated (since := "2024-10-24")]
alias dvd_ord_compl_of_dvd_not_dvd := dvd_ordCompl_of_dvd_not_dvd
/-- If `n` is a nonzero natural number and `p ≠ 1`, then there are natural numbers `e`
and `n'` such that `n'` is not divisible by `p` and `n = p^e * n'`. -/
theorem exists_eq_pow_mul_and_not_dvd {n : ℕ} (hn : n ≠ 0) (p : ℕ) (hp : p ≠ 1) :
∃ e n' : ℕ, ¬p ∣ n' ∧ n = p ^ e * n' :=
let ⟨a', h₁, h₂⟩ :=
(Nat.finiteMultiplicity_iff.mpr ⟨hp, Nat.pos_of_ne_zero hn⟩).exists_eq_pow_mul_and_not_dvd
⟨_, a', h₂, h₁⟩
/-- Any nonzero natural number is the product of an odd part `m` and a power of
two `2 ^ k`. -/
theorem exists_eq_two_pow_mul_odd {n : ℕ} (hn : n ≠ 0) :
∃ k m : ℕ, Odd m ∧ n = 2 ^ k * m :=
let ⟨k, m, hm, hn⟩ := exists_eq_pow_mul_and_not_dvd hn 2 (succ_ne_self 1)
⟨k, m, not_even_iff_odd.1 (mt Even.two_dvd hm), hn⟩
theorem dvd_iff_div_factorization_eq_tsub {d n : ℕ} (hd : d ≠ 0) (hdn : d ≤ n) :
d ∣ n ↔ (n / d).factorization = n.factorization - d.factorization := by
refine ⟨factorization_div, ?_⟩
rcases eq_or_lt_of_le hdn with (rfl | hd_lt_n); · simp
have h1 : n / d ≠ 0 := by simp [*]
intro h
rw [dvd_iff_le_div_mul n d]
by_contra h2
obtain ⟨p, hp⟩ := exists_factorization_lt_of_lt (mul_ne_zero h1 hd) (not_le.mp h2)
rwa [factorization_mul h1 hd, add_apply, ← lt_tsub_iff_right, h, tsub_apply,
lt_self_iff_false] at hp
theorem ordProj_dvd_ordProj_of_dvd {a b : ℕ} (hb0 : b ≠ 0) (hab : a ∣ b) (p : ℕ) :
ordProj[p] a ∣ ordProj[p] b := by
rcases em' p.Prime with (pp | pp); · simp [pp]
rcases eq_or_ne a 0 with (rfl | ha0); · simp
rw [pow_dvd_pow_iff_le_right pp.one_lt]
exact (factorization_le_iff_dvd ha0 hb0).2 hab p
@[deprecated (since := "2024-10-24")]
alias ord_proj_dvd_ord_proj_of_dvd := ordProj_dvd_ordProj_of_dvd
theorem ordProj_dvd_ordProj_iff_dvd {a b : ℕ} (ha0 : a ≠ 0) (hb0 : b ≠ 0) :
(∀ p : ℕ, ordProj[p] a ∣ ordProj[p] b) ↔ a ∣ b := by
refine ⟨fun h => ?_, fun hab p => ordProj_dvd_ordProj_of_dvd hb0 hab p⟩
rw [← factorization_le_iff_dvd ha0 hb0]
intro q
rcases le_or_lt q 1 with (hq_le | hq1)
· interval_cases q <;> simp
exact (pow_dvd_pow_iff_le_right hq1).1 (h q)
@[deprecated (since := "2024-10-24")]
alias ord_proj_dvd_ord_proj_iff_dvd := ordProj_dvd_ordProj_iff_dvd
theorem ordCompl_dvd_ordCompl_of_dvd {a b : ℕ} (hab : a ∣ b) (p : ℕ) :
ordCompl[p] a ∣ ordCompl[p] b := by
rcases em' p.Prime with (pp | pp)
· simp [pp, hab]
rcases eq_or_ne b 0 with (rfl | hb0)
· simp
rcases eq_or_ne a 0 with (rfl | ha0)
· cases hb0 (zero_dvd_iff.1 hab)
have ha := (Nat.div_pos (ordProj_le p ha0) (ordProj_pos a p)).ne'
have hb := (Nat.div_pos (ordProj_le p hb0) (ordProj_pos b p)).ne'
rw [← factorization_le_iff_dvd ha hb, factorization_ordCompl a p, factorization_ordCompl b p]
intro q
rcases eq_or_ne q p with (rfl | hqp)
· simp
simp_rw [erase_ne hqp]
exact (factorization_le_iff_dvd ha0 hb0).2 hab q
@[deprecated (since := "2024-10-24")]
alias ord_compl_dvd_ord_compl_of_dvd := ordCompl_dvd_ordCompl_of_dvd
theorem ordCompl_dvd_ordCompl_iff_dvd (a b : ℕ) :
(∀ p : ℕ, ordCompl[p] a ∣ ordCompl[p] b) ↔ a ∣ b := by
refine ⟨fun h => ?_, fun hab p => ordCompl_dvd_ordCompl_of_dvd hab p⟩
rcases eq_or_ne b 0 with (rfl | hb0)
· simp
if pa : a.Prime then ?_ else simpa [pa] using h a
if pb : b.Prime then ?_ else simpa [pb] using h b
rw [prime_dvd_prime_iff_eq pa pb]
by_contra hab
apply pa.ne_one
rw [← Nat.dvd_one, ← Nat.mul_dvd_mul_iff_left hb0.bot_lt, mul_one]
simpa [Prime.factorization_self pb, Prime.factorization pa, hab] using h b
@[deprecated (since := "2024-10-24")]
alias ord_compl_dvd_ord_compl_iff_dvd := ordCompl_dvd_ordCompl_iff_dvd
theorem dvd_iff_prime_pow_dvd_dvd (n d : ℕ) :
d ∣ n ↔ ∀ p k : ℕ, Prime p → p ^ k ∣ d → p ^ k ∣ n := by
rcases eq_or_ne n 0 with (rfl | hn)
· simp
rcases eq_or_ne d 0 with (rfl | hd)
· simp only [zero_dvd_iff, hn, false_iff, not_forall]
exact ⟨2, n, prime_two, dvd_zero _, mt (le_of_dvd hn.bot_lt) (n.lt_two_pow_self).not_le⟩
refine ⟨fun h p k _ hpkd => dvd_trans hpkd h, ?_⟩
rw [← factorization_prime_le_iff_dvd hd hn]
intro h p pp
simp_rw [← pp.pow_dvd_iff_le_factorization hn]
exact h p _ pp (ordProj_dvd _ _)
theorem prod_primeFactors_dvd (n : ℕ) : ∏ p ∈ n.primeFactors, p ∣ n := by
by_cases hn : n = 0
· subst hn
simp
· simpa [prod_primeFactorsList hn] using (n.primeFactorsList : Multiset ℕ).toFinset_prod_dvd_prod
theorem factorization_gcd {a b : ℕ} (ha_pos : a ≠ 0) (hb_pos : b ≠ 0) :
(gcd a b).factorization = a.factorization ⊓ b.factorization := by
let dfac := a.factorization ⊓ b.factorization
let d := dfac.prod (· ^ ·)
have dfac_prime : ∀ p : ℕ, p ∈ dfac.support → Prime p := by
intro p hp
have : p ∈ a.primeFactorsList ∧ p ∈ b.primeFactorsList := by simpa [dfac] using hp
exact prime_of_mem_primeFactorsList this.1
have h1 : d.factorization = dfac := prod_pow_factorization_eq_self dfac_prime
have hd_pos : d ≠ 0 := (factorizationEquiv.invFun ⟨dfac, dfac_prime⟩).2.ne'
suffices d = gcd a b by rwa [← this]
apply gcd_greatest
· rw [← factorization_le_iff_dvd hd_pos ha_pos, h1]
exact inf_le_left
· rw [← factorization_le_iff_dvd hd_pos hb_pos, h1]
exact inf_le_right
· intro e hea heb
rcases Decidable.eq_or_ne e 0 with (rfl | he_pos)
· simp only [zero_dvd_iff] at hea
contradiction
have hea' := (factorization_le_iff_dvd he_pos ha_pos).mpr hea
have heb' := (factorization_le_iff_dvd he_pos hb_pos).mpr heb
simp [dfac, ← factorization_le_iff_dvd he_pos hd_pos, h1, hea', heb']
theorem factorization_lcm {a b : ℕ} (ha : a ≠ 0) (hb : b ≠ 0) :
(a.lcm b).factorization = a.factorization ⊔ b.factorization := by
rw [← add_right_inj (a.gcd b).factorization, ←
factorization_mul (mt gcd_eq_zero_iff.1 fun h => ha h.1) (lcm_ne_zero ha hb), gcd_mul_lcm,
factorization_gcd ha hb, factorization_mul ha hb]
ext1
exact (min_add_max _ _).symm
variable (a b)
@[simp]
lemma factorizationLCMLeft_zero_left : factorizationLCMLeft 0 b = 1 := by
simp [factorizationLCMLeft]
@[simp]
lemma factorizationLCMLeft_zero_right : factorizationLCMLeft a 0 = 1 := by
simp [factorizationLCMLeft]
@[simp]
lemma factorizationLCRight_zero_left : factorizationLCMRight 0 b = 1 := by
simp [factorizationLCMRight]
@[simp]
lemma factorizationLCMRight_zero_right : factorizationLCMRight a 0 = 1 := by
simp [factorizationLCMRight]
lemma factorizationLCMLeft_pos :
0 < factorizationLCMLeft a b := by
apply Nat.pos_of_ne_zero
rw [factorizationLCMLeft, Finsupp.prod_ne_zero_iff]
intro p _ H
by_cases h : b.factorization p ≤ a.factorization p
· simp only [h, reduceIte, pow_eq_zero_iff', ne_eq] at H
simpa [H.1] using H.2
· simp only [h, reduceIte, one_ne_zero] at H
lemma factorizationLCMRight_pos :
0 < factorizationLCMRight a b := by
apply Nat.pos_of_ne_zero
rw [factorizationLCMRight, Finsupp.prod_ne_zero_iff]
intro p _ H
by_cases h : b.factorization p ≤ a.factorization p
· simp only [h, reduceIte, pow_eq_zero_iff', ne_eq, reduceCtorEq] at H
· simp only [h, ↓reduceIte, pow_eq_zero_iff', ne_eq] at H
simpa [H.1] using H.2
lemma coprime_factorizationLCMLeft_factorizationLCMRight :
(factorizationLCMLeft a b).Coprime (factorizationLCMRight a b) := by
rw [factorizationLCMLeft, factorizationLCMRight]
refine coprime_prod_left_iff.mpr fun p hp ↦ coprime_prod_right_iff.mpr fun q hq ↦ ?_
dsimp only; split_ifs with h h'
any_goals simp only [coprime_one_right_eq_true, coprime_one_left_eq_true]
refine coprime_pow_primes _ _ (prime_of_mem_primeFactors hp) (prime_of_mem_primeFactors hq) ?_
contrapose! h'; rwa [← h']
variable {a b}
lemma factorizationLCMLeft_mul_factorizationLCMRight (ha : a ≠ 0) (hb : b ≠ 0) :
(factorizationLCMLeft a b) * (factorizationLCMRight a b) = lcm a b := by
rw [← factorization_prod_pow_eq_self (lcm_ne_zero ha hb), factorizationLCMLeft,
factorizationLCMRight, ← prod_mul]
congr; ext p n; split_ifs <;> simp
variable (a b)
lemma factorizationLCMLeft_dvd_left : factorizationLCMLeft a b ∣ a := by
rcases eq_or_ne a 0 with rfl | ha
· simp only [dvd_zero]
rcases eq_or_ne b 0 with rfl | hb
· simp [factorizationLCMLeft]
nth_rewrite 2 [← factorization_prod_pow_eq_self ha]
rw [prod_of_support_subset (s := (lcm a b).factorization.support)]
· apply prod_dvd_prod_of_dvd; rintro p -; dsimp only; split_ifs with le
· rw [factorization_lcm ha hb]; apply pow_dvd_pow; exact sup_le le_rfl le
· apply one_dvd
· intro p hp; rw [mem_support_iff] at hp ⊢
rw [factorization_lcm ha hb]; exact (lt_sup_iff.mpr <| .inl <| Nat.pos_of_ne_zero hp).ne'
· intros; rw [pow_zero]
lemma factorizationLCMRight_dvd_right : factorizationLCMRight a b ∣ b := by
rcases eq_or_ne a 0 with rfl | ha
· simp [factorizationLCMRight]
rcases eq_or_ne b 0 with rfl | hb
· simp only [dvd_zero]
nth_rewrite 2 [← factorization_prod_pow_eq_self hb]
rw [prod_of_support_subset (s := (lcm a b).factorization.support)]
· apply Finset.prod_dvd_prod_of_dvd; rintro p -; dsimp only; split_ifs with le
· apply one_dvd
· rw [factorization_lcm ha hb]; apply pow_dvd_pow; exact sup_le (not_le.1 le).le le_rfl
· intro p hp; rw [mem_support_iff] at hp ⊢
rw [factorization_lcm ha hb]; exact (lt_sup_iff.mpr <| .inr <| Nat.pos_of_ne_zero hp).ne'
· intros; rw [pow_zero]
@[to_additive sum_primeFactors_gcd_add_sum_primeFactors_mul]
theorem prod_primeFactors_gcd_mul_prod_primeFactors_mul {β : Type*} [CommMonoid β] (m n : ℕ)
(f : ℕ → β) :
(m.gcd n).primeFactors.prod f * (m * n).primeFactors.prod f =
m.primeFactors.prod f * n.primeFactors.prod f := by
obtain rfl | hm₀ := eq_or_ne m 0
· simp
obtain rfl | hn₀ := eq_or_ne n 0
· simp
· rw [primeFactors_mul hm₀ hn₀, primeFactors_gcd hm₀ hn₀, mul_comm, Finset.prod_union_inter]
theorem setOf_pow_dvd_eq_Icc_factorization {n p : ℕ} (pp : p.Prime) (hn : n ≠ 0) :
{ i : ℕ | i ≠ 0 ∧ p ^ i ∣ n } = Set.Icc 1 (n.factorization p) := by
ext
simp [Nat.lt_succ_iff, one_le_iff_ne_zero, pp.pow_dvd_iff_le_factorization hn]
/-- The set of positive powers of prime `p` that divide `n` is exactly the set of
positive natural numbers up to `n.factorization p`. -/
theorem Icc_factorization_eq_pow_dvd (n : ℕ) {p : ℕ} (pp : Prime p) :
Icc 1 (n.factorization p) = {i ∈ Ico 1 n | p ^ i ∣ n} := by
rcases eq_or_ne n 0 with (rfl | hn)
· simp
ext x
simp only [mem_Icc, Finset.mem_filter, mem_Ico, and_assoc, and_congr_right_iff,
pp.pow_dvd_iff_le_factorization hn, iff_and_self]
exact fun _ H => lt_of_le_of_lt H (factorization_lt p hn)
theorem factorization_eq_card_pow_dvd (n : ℕ) {p : ℕ} (pp : p.Prime) :
n.factorization p = #{i ∈ Ico 1 n | p ^ i ∣ n} := by
simp [← Icc_factorization_eq_pow_dvd n pp]
theorem Ico_filter_pow_dvd_eq {n p b : ℕ} (pp : p.Prime) (hn : n ≠ 0) (hb : n ≤ p ^ b) :
{i ∈ Ico 1 n | p ^ i ∣ n} = {i ∈ Icc 1 b | p ^ i ∣ n} := by
ext x
simp only [Finset.mem_filter, mem_Ico, mem_Icc, and_congr_left_iff, and_congr_right_iff]
rintro h1 -
exact iff_of_true (lt_of_pow_dvd_right hn pp.two_le h1) <|
(Nat.pow_le_pow_iff_right pp.one_lt).1 <| (le_of_dvd hn.bot_lt h1).trans hb
/-! ### Factorization and coprimes -/
/-- If `p` is a prime factor of `a` then the power of `p` in `a` is the same that in `a * b`,
for any `b` coprime to `a`. -/
theorem factorization_eq_of_coprime_left {p a b : ℕ} (hab : Coprime a b)
(hpa : p ∈ a.primeFactorsList) : (a * b).factorization p = a.factorization p := by
rw [factorization_mul_apply_of_coprime hab, ← primeFactorsList_count_eq,
← primeFactorsList_count_eq,
count_eq_zero_of_not_mem (coprime_primeFactorsList_disjoint hab hpa), add_zero]
/-- If `p` is a prime factor of `b` then the power of `p` in `b` is the same that in `a * b`,
for any `a` coprime to `b`. -/
theorem factorization_eq_of_coprime_right {p a b : ℕ} (hab : Coprime a b)
(hpb : p ∈ b.primeFactorsList) : (a * b).factorization p = b.factorization p := by
rw [mul_comm]
exact factorization_eq_of_coprime_left (coprime_comm.mp hab) hpb
/-- Two positive naturals are equal if their prime padic valuations are equal -/
theorem eq_iff_prime_padicValNat_eq (a b : ℕ) (ha : a ≠ 0) (hb : b ≠ 0) :
a = b ↔ ∀ p : ℕ, p.Prime → padicValNat p a = padicValNat p b := by
constructor
· rintro rfl
simp
· intro h
refine eq_of_factorization_eq ha hb fun p => ?_
by_cases pp : p.Prime
· simp [factorization_def, pp, h p pp]
· simp [factorization_eq_zero_of_non_prime, pp]
theorem prod_pow_prime_padicValNat (n : Nat) (hn : n ≠ 0) (m : Nat) (pr : n < m) :
∏ p ∈ range m with p.Prime, p ^ padicValNat p n = n := by
nth_rw 2 [← factorization_prod_pow_eq_self hn]
rw [eq_comm]
apply Finset.prod_subset_one_on_sdiff
· exact fun p hp => Finset.mem_filter.mpr ⟨Finset.mem_range.2 <| pr.trans_le' <|
le_of_mem_primeFactors hp, prime_of_mem_primeFactors hp⟩
· intro p hp
obtain ⟨hp1, hp2⟩ := Finset.mem_sdiff.mp hp
rw [← factorization_def n (Finset.mem_filter.mp hp1).2]
simp [Finsupp.not_mem_support_iff.mp hp2]
· intro p hp
simp [factorization_def n (prime_of_mem_primeFactors hp)]
/-! ### Lemmas about factorizations of particular functions -/
-- TODO: Port lemmas from `Data/Nat/Multiplicity` to here, re-written in terms of `factorization`
/-- Exactly `n / p` naturals in `[1, n]` are multiples of `p`.
See `Nat.card_multiples'` for an alternative spelling of the statement. -/
theorem card_multiples (n p : ℕ) : #{e ∈ range n | p ∣ e + 1} = n / p := by
induction' n with n hn
· simp
simp [Nat.succ_div, add_ite, add_zero, Finset.range_succ, filter_insert, apply_ite card,
card_insert_of_not_mem, hn]
/-- Exactly `n / p` naturals in `(0, n]` are multiples of `p`. -/
theorem Ioc_filter_dvd_card_eq_div (n p : ℕ) : #{x ∈ Ioc 0 n | p ∣ x} = n / p := by
induction' n with n IH
· simp
-- TODO: Golf away `h1` after Yaël PRs a lemma asserting this
have h1 : Ioc 0 n.succ = insert n.succ (Ioc 0 n) := by
rcases n.eq_zero_or_pos with (rfl | hn)
· simp
simp_rw [← Ico_succ_succ, Ico_insert_right (succ_le_succ hn.le), Ico_succ_right]
simp [Nat.succ_div, add_ite, add_zero, h1, filter_insert, apply_ite card, card_insert_eq_ite, IH,
Finset.mem_filter, mem_Ioc, not_le.2 (lt_add_one n)]
/-- There are exactly `⌊N/n⌋` positive multiples of `n` that are `≤ N`.
See `Nat.card_multiples` for a "shifted-by-one" version. -/
lemma card_multiples' (N n : ℕ) : #{k ∈ range N.succ | k ≠ 0 ∧ n ∣ k} = N / n := by
induction N with
| zero => simp [Finset.filter_false_of_mem]
| succ N ih =>
rw [Finset.range_succ, Finset.filter_insert]
by_cases h : n ∣ N.succ
· simp [h, succ_div_of_dvd, ih]
· simp [h, succ_div_of_not_dvd, ih]
end Nat
| Mathlib/Data/Nat/Factorization/Basic.lean | 695 | 697 | |
/-
Copyright (c) 2022 Joseph Myers. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Joseph Myers
-/
import Mathlib.Algebra.ModEq
import Mathlib.Algebra.Order.Archimedean.Basic
import Mathlib.Algebra.Ring.Periodic
import Mathlib.Data.Int.SuccPred
import Mathlib.Order.Circular
/-!
# Reducing to an interval modulo its length
This file defines operations that reduce a number (in an `Archimedean`
`LinearOrderedAddCommGroup`) to a number in a given interval, modulo the length of that
interval.
## Main definitions
* `toIcoDiv hp a b` (where `hp : 0 < p`): The unique integer such that this multiple of `p`,
subtracted from `b`, is in `Ico a (a + p)`.
* `toIcoMod hp a b` (where `hp : 0 < p`): Reduce `b` to the interval `Ico a (a + p)`.
* `toIocDiv hp a b` (where `hp : 0 < p`): The unique integer such that this multiple of `p`,
subtracted from `b`, is in `Ioc a (a + p)`.
* `toIocMod hp a b` (where `hp : 0 < p`): Reduce `b` to the interval `Ioc a (a + p)`.
-/
assert_not_exists TwoSidedIdeal
noncomputable section
section LinearOrderedAddCommGroup
variable {α : Type*} [AddCommGroup α] [LinearOrder α] [IsOrderedAddMonoid α] [hα : Archimedean α]
{p : α} (hp : 0 < p)
{a b c : α} {n : ℤ}
section
include hp
/--
The unique integer such that this multiple of `p`, subtracted from `b`, is in `Ico a (a + p)`. -/
def toIcoDiv (a b : α) : ℤ :=
(existsUnique_sub_zsmul_mem_Ico hp b a).choose
theorem sub_toIcoDiv_zsmul_mem_Ico (a b : α) : b - toIcoDiv hp a b • p ∈ Set.Ico a (a + p) :=
(existsUnique_sub_zsmul_mem_Ico hp b a).choose_spec.1
theorem toIcoDiv_eq_of_sub_zsmul_mem_Ico (h : b - n • p ∈ Set.Ico a (a + p)) :
toIcoDiv hp a b = n :=
((existsUnique_sub_zsmul_mem_Ico hp b a).choose_spec.2 _ h).symm
/--
The unique integer such that this multiple of `p`, subtracted from `b`, is in `Ioc a (a + p)`. -/
def toIocDiv (a b : α) : ℤ :=
(existsUnique_sub_zsmul_mem_Ioc hp b a).choose
theorem sub_toIocDiv_zsmul_mem_Ioc (a b : α) : b - toIocDiv hp a b • p ∈ Set.Ioc a (a + p) :=
(existsUnique_sub_zsmul_mem_Ioc hp b a).choose_spec.1
theorem toIocDiv_eq_of_sub_zsmul_mem_Ioc (h : b - n • p ∈ Set.Ioc a (a + p)) :
toIocDiv hp a b = n :=
((existsUnique_sub_zsmul_mem_Ioc hp b a).choose_spec.2 _ h).symm
/-- Reduce `b` to the interval `Ico a (a + p)`. -/
def toIcoMod (a b : α) : α :=
b - toIcoDiv hp a b • p
/-- Reduce `b` to the interval `Ioc a (a + p)`. -/
def toIocMod (a b : α) : α :=
b - toIocDiv hp a b • p
theorem toIcoMod_mem_Ico (a b : α) : toIcoMod hp a b ∈ Set.Ico a (a + p) :=
sub_toIcoDiv_zsmul_mem_Ico hp a b
theorem toIcoMod_mem_Ico' (b : α) : toIcoMod hp 0 b ∈ Set.Ico 0 p := by
convert toIcoMod_mem_Ico hp 0 b
exact (zero_add p).symm
theorem toIocMod_mem_Ioc (a b : α) : toIocMod hp a b ∈ Set.Ioc a (a + p) :=
sub_toIocDiv_zsmul_mem_Ioc hp a b
theorem left_le_toIcoMod (a b : α) : a ≤ toIcoMod hp a b :=
(Set.mem_Ico.1 (toIcoMod_mem_Ico hp a b)).1
theorem left_lt_toIocMod (a b : α) : a < toIocMod hp a b :=
(Set.mem_Ioc.1 (toIocMod_mem_Ioc hp a b)).1
theorem toIcoMod_lt_right (a b : α) : toIcoMod hp a b < a + p :=
(Set.mem_Ico.1 (toIcoMod_mem_Ico hp a b)).2
theorem toIocMod_le_right (a b : α) : toIocMod hp a b ≤ a + p :=
(Set.mem_Ioc.1 (toIocMod_mem_Ioc hp a b)).2
@[simp]
theorem self_sub_toIcoDiv_zsmul (a b : α) : b - toIcoDiv hp a b • p = toIcoMod hp a b :=
rfl
@[simp]
theorem self_sub_toIocDiv_zsmul (a b : α) : b - toIocDiv hp a b • p = toIocMod hp a b :=
rfl
@[simp]
theorem toIcoDiv_zsmul_sub_self (a b : α) : toIcoDiv hp a b • p - b = -toIcoMod hp a b := by
rw [toIcoMod, neg_sub]
@[simp]
theorem toIocDiv_zsmul_sub_self (a b : α) : toIocDiv hp a b • p - b = -toIocMod hp a b := by
rw [toIocMod, neg_sub]
@[simp]
theorem toIcoMod_sub_self (a b : α) : toIcoMod hp a b - b = -toIcoDiv hp a b • p := by
rw [toIcoMod, sub_sub_cancel_left, neg_smul]
@[simp]
theorem toIocMod_sub_self (a b : α) : toIocMod hp a b - b = -toIocDiv hp a b • p := by
rw [toIocMod, sub_sub_cancel_left, neg_smul]
@[simp]
theorem self_sub_toIcoMod (a b : α) : b - toIcoMod hp a b = toIcoDiv hp a b • p := by
rw [toIcoMod, sub_sub_cancel]
@[simp]
theorem self_sub_toIocMod (a b : α) : b - toIocMod hp a b = toIocDiv hp a b • p := by
rw [toIocMod, sub_sub_cancel]
@[simp]
theorem toIcoMod_add_toIcoDiv_zsmul (a b : α) : toIcoMod hp a b + toIcoDiv hp a b • p = b := by
rw [toIcoMod, sub_add_cancel]
@[simp]
theorem toIocMod_add_toIocDiv_zsmul (a b : α) : toIocMod hp a b + toIocDiv hp a b • p = b := by
rw [toIocMod, sub_add_cancel]
@[simp]
theorem toIcoDiv_zsmul_sub_toIcoMod (a b : α) : toIcoDiv hp a b • p + toIcoMod hp a b = b := by
rw [add_comm, toIcoMod_add_toIcoDiv_zsmul]
@[simp]
theorem toIocDiv_zsmul_sub_toIocMod (a b : α) : toIocDiv hp a b • p + toIocMod hp a b = b := by
rw [add_comm, toIocMod_add_toIocDiv_zsmul]
theorem toIcoMod_eq_iff : toIcoMod hp a b = c ↔ c ∈ Set.Ico a (a + p) ∧ ∃ z : ℤ, b = c + z • p := by
refine
⟨fun h =>
⟨h ▸ toIcoMod_mem_Ico hp a b, toIcoDiv hp a b, h ▸ (toIcoMod_add_toIcoDiv_zsmul _ _ _).symm⟩,
?_⟩
simp_rw [← @sub_eq_iff_eq_add]
rintro ⟨hc, n, rfl⟩
rw [← toIcoDiv_eq_of_sub_zsmul_mem_Ico hp hc, toIcoMod]
theorem toIocMod_eq_iff : toIocMod hp a b = c ↔ c ∈ Set.Ioc a (a + p) ∧ ∃ z : ℤ, b = c + z • p := by
refine
⟨fun h =>
⟨h ▸ toIocMod_mem_Ioc hp a b, toIocDiv hp a b, h ▸ (toIocMod_add_toIocDiv_zsmul hp _ _).symm⟩,
?_⟩
simp_rw [← @sub_eq_iff_eq_add]
rintro ⟨hc, n, rfl⟩
rw [← toIocDiv_eq_of_sub_zsmul_mem_Ioc hp hc, toIocMod]
@[simp]
theorem toIcoDiv_apply_left (a : α) : toIcoDiv hp a a = 0 :=
toIcoDiv_eq_of_sub_zsmul_mem_Ico hp <| by simp [hp]
@[simp]
theorem toIocDiv_apply_left (a : α) : toIocDiv hp a a = -1 :=
toIocDiv_eq_of_sub_zsmul_mem_Ioc hp <| by simp [hp]
@[simp]
theorem toIcoMod_apply_left (a : α) : toIcoMod hp a a = a := by
rw [toIcoMod_eq_iff hp, Set.left_mem_Ico]
exact ⟨lt_add_of_pos_right _ hp, 0, by simp⟩
@[simp]
theorem toIocMod_apply_left (a : α) : toIocMod hp a a = a + p := by
rw [toIocMod_eq_iff hp, Set.right_mem_Ioc]
exact ⟨lt_add_of_pos_right _ hp, -1, by simp⟩
theorem toIcoDiv_apply_right (a : α) : toIcoDiv hp a (a + p) = 1 :=
toIcoDiv_eq_of_sub_zsmul_mem_Ico hp <| by simp [hp]
theorem toIocDiv_apply_right (a : α) : toIocDiv hp a (a + p) = 0 :=
toIocDiv_eq_of_sub_zsmul_mem_Ioc hp <| by simp [hp]
theorem toIcoMod_apply_right (a : α) : toIcoMod hp a (a + p) = a := by
rw [toIcoMod_eq_iff hp, Set.left_mem_Ico]
exact ⟨lt_add_of_pos_right _ hp, 1, by simp⟩
theorem toIocMod_apply_right (a : α) : toIocMod hp a (a + p) = a + p := by
rw [toIocMod_eq_iff hp, Set.right_mem_Ioc]
exact ⟨lt_add_of_pos_right _ hp, 0, by simp⟩
@[simp]
theorem toIcoDiv_add_zsmul (a b : α) (m : ℤ) : toIcoDiv hp a (b + m • p) = toIcoDiv hp a b + m :=
toIcoDiv_eq_of_sub_zsmul_mem_Ico hp <| by
simpa only [add_smul, add_sub_add_right_eq_sub] using sub_toIcoDiv_zsmul_mem_Ico hp a b
@[simp]
theorem toIcoDiv_add_zsmul' (a b : α) (m : ℤ) :
toIcoDiv hp (a + m • p) b = toIcoDiv hp a b - m := by
refine toIcoDiv_eq_of_sub_zsmul_mem_Ico _ ?_
rw [sub_smul, ← sub_add, add_right_comm]
simpa using sub_toIcoDiv_zsmul_mem_Ico hp a b
@[simp]
theorem toIocDiv_add_zsmul (a b : α) (m : ℤ) : toIocDiv hp a (b + m • p) = toIocDiv hp a b + m :=
toIocDiv_eq_of_sub_zsmul_mem_Ioc hp <| by
simpa only [add_smul, add_sub_add_right_eq_sub] using sub_toIocDiv_zsmul_mem_Ioc hp a b
@[simp]
theorem toIocDiv_add_zsmul' (a b : α) (m : ℤ) :
toIocDiv hp (a + m • p) b = toIocDiv hp a b - m := by
refine toIocDiv_eq_of_sub_zsmul_mem_Ioc _ ?_
rw [sub_smul, ← sub_add, add_right_comm]
simpa using sub_toIocDiv_zsmul_mem_Ioc hp a b
@[simp]
theorem toIcoDiv_zsmul_add (a b : α) (m : ℤ) : toIcoDiv hp a (m • p + b) = m + toIcoDiv hp a b := by
rw [add_comm, toIcoDiv_add_zsmul, add_comm]
/-! Note we omit `toIcoDiv_zsmul_add'` as `-m + toIcoDiv hp a b` is not very convenient. -/
@[simp]
theorem toIocDiv_zsmul_add (a b : α) (m : ℤ) : toIocDiv hp a (m • p + b) = m + toIocDiv hp a b := by
rw [add_comm, toIocDiv_add_zsmul, add_comm]
/-! Note we omit `toIocDiv_zsmul_add'` as `-m + toIocDiv hp a b` is not very convenient. -/
@[simp]
theorem toIcoDiv_sub_zsmul (a b : α) (m : ℤ) : toIcoDiv hp a (b - m • p) = toIcoDiv hp a b - m := by
rw [sub_eq_add_neg, ← neg_smul, toIcoDiv_add_zsmul, sub_eq_add_neg]
@[simp]
theorem toIcoDiv_sub_zsmul' (a b : α) (m : ℤ) :
toIcoDiv hp (a - m • p) b = toIcoDiv hp a b + m := by
rw [sub_eq_add_neg, ← neg_smul, toIcoDiv_add_zsmul', sub_neg_eq_add]
@[simp]
theorem toIocDiv_sub_zsmul (a b : α) (m : ℤ) : toIocDiv hp a (b - m • p) = toIocDiv hp a b - m := by
rw [sub_eq_add_neg, ← neg_smul, toIocDiv_add_zsmul, sub_eq_add_neg]
@[simp]
theorem toIocDiv_sub_zsmul' (a b : α) (m : ℤ) :
toIocDiv hp (a - m • p) b = toIocDiv hp a b + m := by
rw [sub_eq_add_neg, ← neg_smul, toIocDiv_add_zsmul', sub_neg_eq_add]
@[simp]
theorem toIcoDiv_add_right (a b : α) : toIcoDiv hp a (b + p) = toIcoDiv hp a b + 1 := by
simpa only [one_zsmul] using toIcoDiv_add_zsmul hp a b 1
@[simp]
theorem toIcoDiv_add_right' (a b : α) : toIcoDiv hp (a + p) b = toIcoDiv hp a b - 1 := by
simpa only [one_zsmul] using toIcoDiv_add_zsmul' hp a b 1
@[simp]
theorem toIocDiv_add_right (a b : α) : toIocDiv hp a (b + p) = toIocDiv hp a b + 1 := by
simpa only [one_zsmul] using toIocDiv_add_zsmul hp a b 1
@[simp]
theorem toIocDiv_add_right' (a b : α) : toIocDiv hp (a + p) b = toIocDiv hp a b - 1 := by
simpa only [one_zsmul] using toIocDiv_add_zsmul' hp a b 1
@[simp]
theorem toIcoDiv_add_left (a b : α) : toIcoDiv hp a (p + b) = toIcoDiv hp a b + 1 := by
rw [add_comm, toIcoDiv_add_right]
@[simp]
theorem toIcoDiv_add_left' (a b : α) : toIcoDiv hp (p + a) b = toIcoDiv hp a b - 1 := by
rw [add_comm, toIcoDiv_add_right']
@[simp]
theorem toIocDiv_add_left (a b : α) : toIocDiv hp a (p + b) = toIocDiv hp a b + 1 := by
rw [add_comm, toIocDiv_add_right]
@[simp]
theorem toIocDiv_add_left' (a b : α) : toIocDiv hp (p + a) b = toIocDiv hp a b - 1 := by
rw [add_comm, toIocDiv_add_right']
| @[simp]
theorem toIcoDiv_sub (a b : α) : toIcoDiv hp a (b - p) = toIcoDiv hp a b - 1 := by
simpa only [one_zsmul] using toIcoDiv_sub_zsmul hp a b 1
| Mathlib/Algebra/Order/ToIntervalMod.lean | 282 | 284 |
/-
Copyright (c) 2015, 2017 Jeremy Avigad. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Jeremy Avigad, Robert Y. Lewis, Johannes Hölzl, Mario Carneiro, Sébastien Gouëzel
-/
import Mathlib.Topology.MetricSpace.Pseudo.Basic
import Mathlib.Topology.MetricSpace.Pseudo.Lemmas
import Mathlib.Topology.MetricSpace.Pseudo.Pi
import Mathlib.Topology.MetricSpace.Defs
/-!
# Basic properties of metric spaces, and instances.
-/
open Set Filter Bornology Topology
open scoped NNReal Uniformity
universe u v w
variable {α : Type u} {β : Type v} {X : Type*}
variable [PseudoMetricSpace α]
variable {γ : Type w} [MetricSpace γ]
namespace Metric
variable {x : γ} {s : Set γ}
-- see Note [lower instance priority]
instance (priority := 100) _root_.MetricSpace.instT0Space : T0Space γ where
t0 _ _ h := eq_of_dist_eq_zero <| Metric.inseparable_iff.1 h
/-- A map between metric spaces is a uniform embedding if and only if the distance between `f x`
and `f y` is controlled in terms of the distance between `x` and `y` and conversely. -/
theorem isUniformEmbedding_iff' [PseudoMetricSpace β] {f : γ → β} :
IsUniformEmbedding f ↔
(∀ ε > 0, ∃ δ > 0, ∀ {a b : γ}, dist a b < δ → dist (f a) (f b) < ε) ∧
∀ δ > 0, ∃ ε > 0, ∀ {a b : γ}, dist (f a) (f b) < ε → dist a b < δ := by
rw [isUniformEmbedding_iff_isUniformInducing, isUniformInducing_iff, uniformContinuous_iff]
/-- If a `PseudoMetricSpace` is a T₀ space, then it is a `MetricSpace`. -/
abbrev _root_.MetricSpace.ofT0PseudoMetricSpace (α : Type*) [PseudoMetricSpace α] [T0Space α] :
MetricSpace α where
toPseudoMetricSpace := ‹_›
eq_of_dist_eq_zero hdist := (Metric.inseparable_iff.2 hdist).eq
-- see Note [lower instance priority]
/-- A metric space induces an emetric space -/
instance (priority := 100) _root_.MetricSpace.toEMetricSpace : EMetricSpace γ :=
.ofT0PseudoEMetricSpace γ
theorem isClosed_of_pairwise_le_dist {s : Set γ} {ε : ℝ} (hε : 0 < ε)
(hs : s.Pairwise fun x y => ε ≤ dist x y) : IsClosed s :=
isClosed_of_spaced_out (dist_mem_uniformity hε) <| by simpa using hs
theorem isClosedEmbedding_of_pairwise_le_dist {α : Type*} [TopologicalSpace α] [DiscreteTopology α]
{ε : ℝ} (hε : 0 < ε) {f : α → γ} (hf : Pairwise fun x y => ε ≤ dist (f x) (f y)) :
IsClosedEmbedding f :=
isClosedEmbedding_of_spaced_out (dist_mem_uniformity hε) <| by simpa using hf
/-- If `f : β → α` sends any two distinct points to points at distance at least `ε > 0`, then
`f` is a uniform embedding with respect to the discrete uniformity on `β`. -/
theorem isUniformEmbedding_bot_of_pairwise_le_dist {β : Type*} {ε : ℝ} (hε : 0 < ε) {f : β → α}
(hf : Pairwise fun x y => ε ≤ dist (f x) (f y)) :
@IsUniformEmbedding _ _ ⊥ (by infer_instance) f :=
isUniformEmbedding_of_spaced_out (dist_mem_uniformity hε) <| by simpa using hf
end Metric
/-- One gets a metric space from an emetric space if the edistance
is everywhere finite, by pushing the edistance to reals. We set it up so that the edist and the
uniformity are defeq in the metric space and the emetric space. In this definition, the distance
is given separately, to be able to prescribe some expression which is not defeq to the push-forward
| of the edistance to reals. -/
| Mathlib/Topology/MetricSpace/Basic.lean | 74 | 74 |
/-
Copyright (c) 2022 Andrew Yang. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Andrew Yang
-/
import Mathlib.CategoryTheory.Limits.Shapes.Pullback.CommSq
import Mathlib.CategoryTheory.Limits.Shapes.StrictInitial
import Mathlib.CategoryTheory.Limits.Types.Shapes
import Mathlib.Topology.Category.TopCat.Limits.Pullbacks
import Mathlib.CategoryTheory.Limits.FunctorCategory.Basic
import Mathlib.CategoryTheory.Limits.Constructions.FiniteProductsOfBinaryProducts
import Mathlib.CategoryTheory.Limits.VanKampen
/-!
# Extensive categories
## Main definitions
- `CategoryTheory.FinitaryExtensive`: A category is (finitary) extensive if it has finite
coproducts, and binary coproducts are van Kampen.
## Main Results
- `CategoryTheory.hasStrictInitialObjects_of_finitaryExtensive`: The initial object
in extensive categories is strict.
- `CategoryTheory.FinitaryExtensive.mono_inr_of_isColimit`: Coproduct injections are monic in
extensive categories.
- `CategoryTheory.BinaryCofan.isPullback_initial_to_of_isVanKampen`: In extensive categories,
sums are disjoint, i.e. the pullback of `X ⟶ X ⨿ Y` and `Y ⟶ X ⨿ Y` is the initial object.
- `CategoryTheory.types.finitaryExtensive`: The category of types is extensive.
- `CategoryTheory.FinitaryExtensive_TopCat`:
The category `Top` is extensive.
- `CategoryTheory.FinitaryExtensive_functor`: The category `C ⥤ D` is extensive if `D`
has all pullbacks and is extensive.
- `CategoryTheory.FinitaryExtensive.isVanKampen_finiteCoproducts`: Finite coproducts in a
finitary extensive category are van Kampen.
## TODO
Show that the following are finitary extensive:
- `Scheme`
- `AffineScheme` (`CommRingᵒᵖ`)
## References
- https://ncatlab.org/nlab/show/extensive+category
- [Carboni et al, Introduction to extensive and distributive categories][CARBONI1993145]
-/
open CategoryTheory.Limits Topology
namespace CategoryTheory
universe v' u' v u v'' u''
variable {J : Type v'} [Category.{u'} J] {C : Type u} [Category.{v} C]
variable {D : Type u''} [Category.{v''} D]
section Extensive
variable {X Y : C}
/-- A category has pullback of inclusions if it has all pullbacks along coproduct injections. -/
class HasPullbacksOfInclusions (C : Type u) [Category.{v} C] [HasBinaryCoproducts C] : Prop where
[hasPullbackInl : ∀ {X Y Z : C} (f : Z ⟶ X ⨿ Y), HasPullback coprod.inl f]
attribute [instance] HasPullbacksOfInclusions.hasPullbackInl
/--
A functor preserves pullback of inclusions if it preserves all pullbacks along coproduct injections.
-/
class PreservesPullbacksOfInclusions {C : Type*} [Category C] {D : Type*} [Category D]
(F : C ⥤ D) [HasBinaryCoproducts C] where
[preservesPullbackInl : ∀ {X Y Z : C} (f : Z ⟶ X ⨿ Y), PreservesLimit (cospan coprod.inl f) F]
attribute [instance] PreservesPullbacksOfInclusions.preservesPullbackInl
/-- A category is (finitary) pre-extensive if it has finite coproducts,
and binary coproducts are universal. -/
class FinitaryPreExtensive (C : Type u) [Category.{v} C] : Prop where
[hasFiniteCoproducts : HasFiniteCoproducts C]
[hasPullbacksOfInclusions : HasPullbacksOfInclusions C]
/-- In a finitary extensive category, all coproducts are van Kampen -/
universal' : ∀ {X Y : C} (c : BinaryCofan X Y), IsColimit c → IsUniversalColimit c
attribute [instance] FinitaryPreExtensive.hasFiniteCoproducts
attribute [instance] FinitaryPreExtensive.hasPullbacksOfInclusions
/-- A category is (finitary) extensive if it has finite coproducts,
and binary coproducts are van Kampen. -/
class FinitaryExtensive (C : Type u) [Category.{v} C] : Prop where
[hasFiniteCoproducts : HasFiniteCoproducts C]
[hasPullbacksOfInclusions : HasPullbacksOfInclusions C]
/-- In a finitary extensive category, all coproducts are van Kampen -/
van_kampen' : ∀ {X Y : C} (c : BinaryCofan X Y), IsColimit c → IsVanKampenColimit c
attribute [instance] FinitaryExtensive.hasFiniteCoproducts
attribute [instance] FinitaryExtensive.hasPullbacksOfInclusions
theorem FinitaryExtensive.vanKampen [FinitaryExtensive C] {F : Discrete WalkingPair ⥤ C}
(c : Cocone F) (hc : IsColimit c) : IsVanKampenColimit c := by
let X := F.obj ⟨WalkingPair.left⟩
let Y := F.obj ⟨WalkingPair.right⟩
have : F = pair X Y := by
apply Functor.hext
· rintro ⟨⟨⟩⟩ <;> rfl
· rintro ⟨⟨⟩⟩ ⟨j⟩ ⟨⟨rfl : _ = j⟩⟩ <;> simp [X, Y]
clear_value X Y
subst this
exact FinitaryExtensive.van_kampen' c hc
namespace HasPullbacksOfInclusions
instance (priority := 100) [HasBinaryCoproducts C] [HasPullbacks C] :
HasPullbacksOfInclusions C := ⟨⟩
variable [HasBinaryCoproducts C] [HasPullbacksOfInclusions C] {X Y Z : C} (f : Z ⟶ X ⨿ Y)
instance preservesPullbackInl' :
HasPullback f coprod.inl :=
hasPullback_symmetry _ _
instance hasPullbackInr' :
HasPullback f coprod.inr := by
have : IsPullback (𝟙 _) (f ≫ (coprod.braiding X Y).hom) f (coprod.braiding Y X).hom :=
IsPullback.of_horiz_isIso ⟨by simp⟩
have := (IsPullback.of_hasPullback (f ≫ (coprod.braiding X Y).hom) coprod.inl).paste_horiz this
simp only [coprod.braiding_hom, Category.comp_id, colimit.ι_desc, BinaryCofan.mk_pt,
BinaryCofan.ι_app_left, BinaryCofan.mk_inl] at this
exact ⟨⟨⟨_, this.isLimit⟩⟩⟩
instance hasPullbackInr :
HasPullback coprod.inr f :=
hasPullback_symmetry _ _
end HasPullbacksOfInclusions
namespace PreservesPullbacksOfInclusions
variable {D : Type*} [Category D] [HasBinaryCoproducts C] (F : C ⥤ D)
noncomputable
instance (priority := 100) [PreservesLimitsOfShape WalkingCospan F] :
PreservesPullbacksOfInclusions F := ⟨⟩
variable [PreservesPullbacksOfInclusions F] {X Y Z : C} (f : Z ⟶ X ⨿ Y)
noncomputable
instance preservesPullbackInl' :
PreservesLimit (cospan f coprod.inl) F :=
preservesPullback_symmetry _ _ _
noncomputable
instance preservesPullbackInr' :
PreservesLimit (cospan f coprod.inr) F := by
apply preservesLimit_of_iso_diagram (K₁ := cospan (f ≫ (coprod.braiding X Y).hom) coprod.inl)
apply cospanExt (Iso.refl _) (Iso.refl _) (coprod.braiding X Y).symm <;> simp
noncomputable
instance preservesPullbackInr :
PreservesLimit (cospan coprod.inr f) F :=
preservesPullback_symmetry _ _ _
end PreservesPullbacksOfInclusions
instance (priority := 100) FinitaryExtensive.toFinitaryPreExtensive [FinitaryExtensive C] :
FinitaryPreExtensive C :=
⟨fun c hc ↦ (FinitaryExtensive.van_kampen' c hc).isUniversal⟩
theorem FinitaryExtensive.mono_inr_of_isColimit [FinitaryExtensive C] {c : BinaryCofan X Y}
(hc : IsColimit c) : Mono c.inr :=
BinaryCofan.mono_inr_of_isVanKampen (FinitaryExtensive.vanKampen c hc)
theorem FinitaryExtensive.mono_inl_of_isColimit [FinitaryExtensive C] {c : BinaryCofan X Y}
(hc : IsColimit c) : Mono c.inl :=
FinitaryExtensive.mono_inr_of_isColimit (BinaryCofan.isColimitFlip hc)
instance [FinitaryExtensive C] (X Y : C) : Mono (coprod.inl : X ⟶ X ⨿ Y) :=
(FinitaryExtensive.mono_inl_of_isColimit (coprodIsCoprod X Y) :)
instance [FinitaryExtensive C] (X Y : C) : Mono (coprod.inr : Y ⟶ X ⨿ Y) :=
(FinitaryExtensive.mono_inr_of_isColimit (coprodIsCoprod X Y) :)
theorem FinitaryExtensive.isPullback_initial_to_binaryCofan [FinitaryExtensive C]
{c : BinaryCofan X Y} (hc : IsColimit c) :
IsPullback (initial.to _) (initial.to _) c.inl c.inr :=
BinaryCofan.isPullback_initial_to_of_isVanKampen (FinitaryExtensive.vanKampen c hc)
instance (priority := 100) hasStrictInitialObjects_of_finitaryPreExtensive
[FinitaryPreExtensive C] : HasStrictInitialObjects C :=
hasStrictInitial_of_isUniversal (FinitaryPreExtensive.universal' _
((BinaryCofan.isColimit_iff_isIso_inr initialIsInitial _).mpr (by
dsimp
infer_instance)).some)
theorem finitaryExtensive_iff_of_isTerminal (C : Type u) [Category.{v} C] [HasFiniteCoproducts C]
[HasPullbacksOfInclusions C]
(T : C) (HT : IsTerminal T) (c₀ : BinaryCofan T T) (hc₀ : IsColimit c₀) :
FinitaryExtensive C ↔ IsVanKampenColimit c₀ := by
refine ⟨fun H => H.van_kampen' c₀ hc₀, fun H => ?_⟩
constructor
simp_rw [BinaryCofan.isVanKampen_iff] at H ⊢
intro X Y c hc X' Y' c' αX αY f hX hY
obtain ⟨d, hd, hd'⟩ :=
Limits.BinaryCofan.IsColimit.desc' hc (HT.from _ ≫ c₀.inl) (HT.from _ ≫ c₀.inr)
rw [H c' (αX ≫ HT.from _) (αY ≫ HT.from _) (f ≫ d) (by rw [← reassoc_of% hX, hd, Category.assoc])
(by rw [← reassoc_of% hY, hd', Category.assoc])]
obtain ⟨hl, hr⟩ := (H c (HT.from _) (HT.from _) d hd.symm hd'.symm).mp ⟨hc⟩
rw [hl.paste_vert_iff hX.symm, hr.paste_vert_iff hY.symm]
instance types.finitaryExtensive : FinitaryExtensive (Type u) := by
classical
rw [finitaryExtensive_iff_of_isTerminal (Type u) PUnit Types.isTerminalPunit _
(Types.binaryCoproductColimit _ _)]
apply BinaryCofan.isVanKampen_mk _ _ (fun X Y => Types.binaryCoproductColimit X Y) _
fun f g => (Limits.Types.pullbackLimitCone f g).2
· intros _ _ _ _ f hαX hαY
constructor
· refine ⟨⟨hαX.symm⟩, ⟨PullbackCone.isLimitAux' _ ?_⟩⟩
intro s
have : ∀ x, ∃! y, s.fst x = Sum.inl y := by
intro x
rcases h : s.fst x with val | val
· simp only [Types.binaryCoproductCocone_pt, Functor.const_obj_obj, Sum.inl.injEq,
existsUnique_eq']
· apply_fun f at h
cases ((congr_fun s.condition x).symm.trans h).trans (congr_fun hαY val :).symm
delta ExistsUnique at this
choose l hl hl' using this
exact ⟨l, (funext hl).symm, Types.isTerminalPunit.hom_ext _ _,
fun {l'} h₁ _ => funext fun x => hl' x (l' x) (congr_fun h₁ x).symm⟩
· refine ⟨⟨hαY.symm⟩, ⟨PullbackCone.isLimitAux' _ ?_⟩⟩
intro s
have : ∀ x, ∃! y, s.fst x = Sum.inr y := by
intro x
rcases h : s.fst x with val | val
· apply_fun f at h
cases ((congr_fun s.condition x).symm.trans h).trans (congr_fun hαX val :).symm
· simp only [Types.binaryCoproductCocone_pt, Functor.const_obj_obj, Sum.inr.injEq,
existsUnique_eq']
delta ExistsUnique at this
choose l hl hl' using this
exact ⟨l, (funext hl).symm, Types.isTerminalPunit.hom_ext _ _,
fun {l'} h₁ _ => funext fun x => hl' x (l' x) (congr_fun h₁ x).symm⟩
· intro Z f
dsimp [Limits.Types.binaryCoproductCocone]
delta Types.PullbackObj
have : ∀ x, f x = Sum.inl PUnit.unit ∨ f x = Sum.inr PUnit.unit := by
intro x
rcases f x with (⟨⟨⟩⟩ | ⟨⟨⟩⟩)
exacts [Or.inl rfl, Or.inr rfl]
let eX : { p : Z × PUnit // f p.fst = Sum.inl p.snd } ≃ { x : Z // f x = Sum.inl PUnit.unit } :=
⟨fun p => ⟨p.1.1, by convert p.2⟩, fun x => ⟨⟨_, _⟩, x.2⟩, fun _ => by ext; rfl,
fun _ => by ext; rfl⟩
let eY : { p : Z × PUnit // f p.fst = Sum.inr p.snd } ≃ { x : Z // f x = Sum.inr PUnit.unit } :=
⟨fun p => ⟨p.1.1, p.2.trans (congr_arg Sum.inr <| Subsingleton.elim _ _)⟩,
fun x => ⟨⟨_, _⟩, x.2⟩, fun _ => by ext; rfl, fun _ => by ext; rfl⟩
fapply BinaryCofan.isColimitMk
· exact fun s x => dite _ (fun h => s.inl <| eX.symm ⟨x, h⟩)
fun h => s.inr <| eY.symm ⟨x, (this x).resolve_left h⟩
· intro s
ext ⟨⟨x, ⟨⟩⟩, _⟩
dsimp
split_ifs <;> rfl
· intro s
ext ⟨⟨x, ⟨⟩⟩, hx⟩
dsimp
split_ifs with h
· cases h.symm.trans hx
· rfl
· intro s m e₁ e₂
ext x
split_ifs
· rw [← e₁]
rfl
· rw [← e₂]
rfl
section TopCat
/-- (Implementation) An auxiliary lemma for the proof that `TopCat` is finitary extensive. -/
noncomputable def finitaryExtensiveTopCatAux (Z : TopCat.{u})
(f : Z ⟶ TopCat.of (PUnit.{u + 1} ⊕ PUnit.{u + 1})) :
IsColimit (BinaryCofan.mk
(TopCat.pullbackFst f (TopCat.binaryCofan (TopCat.of PUnit) (TopCat.of PUnit)).inl)
(TopCat.pullbackFst f (TopCat.binaryCofan (TopCat.of PUnit) (TopCat.of PUnit)).inr)) := by
have h₁ : Set.range (TopCat.pullbackFst f (TopCat.binaryCofan (.of PUnit) (.of PUnit)).inl) =
f ⁻¹' Set.range Sum.inl := by
apply le_antisymm
· rintro _ ⟨x, rfl⟩; exact ⟨PUnit.unit, x.2.symm⟩
· rintro x ⟨⟨⟩, hx⟩; refine ⟨⟨⟨x, PUnit.unit⟩, hx.symm⟩, rfl⟩
have h₂ : Set.range (TopCat.pullbackFst f (TopCat.binaryCofan (.of PUnit) (.of PUnit)).inr) =
f ⁻¹' Set.range Sum.inr := by
apply le_antisymm
· rintro _ ⟨x, rfl⟩; exact ⟨PUnit.unit, x.2.symm⟩
· rintro x ⟨⟨⟩, hx⟩; refine ⟨⟨⟨x, PUnit.unit⟩, hx.symm⟩, rfl⟩
refine ((TopCat.binaryCofan_isColimit_iff _).mpr ⟨?_, ?_, ?_⟩).some
· refine ⟨(Homeomorph.prodPUnit Z).isEmbedding.comp .subtypeVal, ?_⟩
convert f.hom.2.1 _ isOpen_range_inl
· refine ⟨(Homeomorph.prodPUnit Z).isEmbedding.comp .subtypeVal, ?_⟩
convert f.hom.2.1 _ isOpen_range_inr
· convert Set.isCompl_range_inl_range_inr.preimage f
instance finitaryExtensive_TopCat : FinitaryExtensive TopCat.{u} := by
rw [finitaryExtensive_iff_of_isTerminal TopCat.{u} _ TopCat.isTerminalPUnit _
(TopCat.binaryCofanIsColimit _ _)]
apply BinaryCofan.isVanKampen_mk _ _ (fun X Y => TopCat.binaryCofanIsColimit X Y) _
fun f g => TopCat.pullbackConeIsLimit f g
· intro X' Y' αX αY f hαX hαY
constructor
· refine ⟨⟨hαX.symm⟩, ⟨PullbackCone.isLimitAux' _ ?_⟩⟩
intro s
have : ∀ x, ∃! y, s.fst x = Sum.inl y := by
intro x
rcases h : s.fst x with val | val
· exact ⟨val, rfl, fun y h => Sum.inl_injective h.symm⟩
· apply_fun f at h
cases ((ConcreteCategory.congr_hom s.condition x).symm.trans h).trans
(ConcreteCategory.congr_hom hαY val :).symm
delta ExistsUnique at this
choose l hl hl' using this
refine ⟨TopCat.ofHom ⟨l, ?_⟩, TopCat.ext fun a => (hl a).symm,
TopCat.isTerminalPUnit.hom_ext _ _,
fun {l'} h₁ _ => TopCat.ext fun x =>
hl' x (l' x) (ConcreteCategory.congr_hom h₁ x).symm⟩
apply (IsEmbedding.inl (X := X') (Y := Y')).isInducing.continuous_iff.mpr
convert s.fst.hom.2 using 1
exact (funext hl).symm
· refine ⟨⟨hαY.symm⟩, ⟨PullbackCone.isLimitAux' _ ?_⟩⟩
intro s
have : ∀ x, ∃! y, s.fst x = Sum.inr y := by
intro x
rcases h : s.fst x with val | val
· apply_fun f at h
cases ((ConcreteCategory.congr_hom s.condition x).symm.trans h).trans
(ConcreteCategory.congr_hom hαX val :).symm
· exact ⟨val, rfl, fun y h => Sum.inr_injective h.symm⟩
delta ExistsUnique at this
choose l hl hl' using this
refine ⟨TopCat.ofHom ⟨l, ?_⟩, TopCat.ext fun a => (hl a).symm,
TopCat.isTerminalPUnit.hom_ext _ _,
fun {l'} h₁ _ =>
TopCat.ext fun x => hl' x (l' x) (ConcreteCategory.congr_hom h₁ x).symm⟩
apply (IsEmbedding.inr (X := X') (Y := Y')).isInducing.continuous_iff.mpr
convert s.fst.hom.2 using 1
exact (funext hl).symm
· intro Z f
exact finitaryExtensiveTopCatAux Z f
end TopCat
section Functor
theorem finitaryExtensive_of_reflective
[HasFiniteCoproducts D] [HasPullbacksOfInclusions D] [FinitaryExtensive C]
{Gl : C ⥤ D} {Gr : D ⥤ C} (adj : Gl ⊣ Gr) [Gr.Full] [Gr.Faithful]
[∀ X Y (f : X ⟶ Gl.obj Y), HasPullback (Gr.map f) (adj.unit.app Y)]
[∀ X Y (f : X ⟶ Gl.obj Y), PreservesLimit (cospan (Gr.map f) (adj.unit.app Y)) Gl]
[PreservesPullbacksOfInclusions Gl] :
FinitaryExtensive D := by
have : PreservesColimitsOfSize Gl := adj.leftAdjoint_preservesColimits
constructor
intros X Y c hc
apply (IsVanKampenColimit.precompose_isIso_iff
(isoWhiskerLeft _ (asIso adj.counit) ≪≫ Functor.rightUnitor _).hom).mp
have : ∀ (Z : C) (i : Discrete WalkingPair) (f : Z ⟶ (colimit.cocone (pair X Y ⋙ Gr)).pt),
PreservesLimit (cospan f ((colimit.cocone (pair X Y ⋙ Gr)).ι.app i)) Gl := by
have : pair X Y ⋙ Gr = pair (Gr.obj X) (Gr.obj Y) := by
apply Functor.hext
· rintro ⟨⟨⟩⟩ <;> rfl
· rintro ⟨⟨⟩⟩ ⟨j⟩ ⟨⟨rfl : _ = j⟩⟩ <;> simp
rw [this]
rintro Z ⟨_|_⟩ f <;> dsimp <;> infer_instance
refine ((FinitaryExtensive.vanKampen _ (colimit.isColimit <| pair X Y ⋙ _)).map_reflective
adj).of_iso (IsColimit.uniqueUpToIso ?_ ?_)
· exact isColimitOfPreserves Gl (colimit.isColimit _)
· exact (IsColimit.precomposeHomEquiv _ _).symm hc
instance finitaryExtensive_functor [HasPullbacks C] [FinitaryExtensive C] :
FinitaryExtensive (D ⥤ C) :=
haveI : HasFiniteCoproducts (D ⥤ C) := ⟨fun _ => Limits.functorCategoryHasColimitsOfShape⟩
⟨fun c hc => isVanKampenColimit_of_evaluation _ c fun _ =>
FinitaryExtensive.vanKampen _ <| isColimitOfPreserves _ hc⟩
instance {C} [Category C] {D} [Category D] (F : C ⥤ D)
{X Y Z : C} (f : X ⟶ Z) (g : Y ⟶ Z) [IsIso f] : PreservesLimit (cospan f g) F :=
have := hasPullback_of_left_iso f g
preservesLimit_of_preserves_limit_cone (IsPullback.of_hasPullback f g).isLimit
((isLimitMapConePullbackConeEquiv _ pullback.condition).symm
(IsPullback.of_vert_isIso ⟨by simp only [← F.map_comp, pullback.condition]⟩).isLimit)
instance {C} [Category C] {D} [Category D] (F : C ⥤ D)
{X Y Z : C} (f : X ⟶ Z) (g : Y ⟶ Z) [IsIso g] : PreservesLimit (cospan f g) F :=
preservesPullback_symmetry _ _ _
theorem finitaryExtensive_of_preserves_and_reflects (F : C ⥤ D) [FinitaryExtensive D]
[HasFiniteCoproducts C] [HasPullbacksOfInclusions C]
[PreservesPullbacksOfInclusions F]
[ReflectsLimitsOfShape WalkingCospan F] [PreservesColimitsOfShape (Discrete WalkingPair) F]
[ReflectsColimitsOfShape (Discrete WalkingPair) F] : FinitaryExtensive C := by
constructor
intros X Y c hc
refine IsVanKampenColimit.of_iso ?_ (hc.uniqueUpToIso (coprodIsCoprod X Y)).symm
have (i : Discrete WalkingPair) (Z : C) (f : Z ⟶ X ⨿ Y) :
PreservesLimit (cospan f ((BinaryCofan.mk coprod.inl coprod.inr).ι.app i)) F := by
rcases i with ⟨_|_⟩ <;> dsimp <;> infer_instance
refine (FinitaryExtensive.vanKampen _
(isColimitOfPreserves F (coprodIsCoprod X Y))).of_mapCocone F
theorem finitaryExtensive_of_preserves_and_reflects_isomorphism (F : C ⥤ D) [FinitaryExtensive D]
[HasFiniteCoproducts C] [HasPullbacks C] [PreservesLimitsOfShape WalkingCospan F]
[PreservesColimitsOfShape (Discrete WalkingPair) F] [F.ReflectsIsomorphisms] :
FinitaryExtensive C := by
haveI : ReflectsLimitsOfShape WalkingCospan F := reflectsLimitsOfShape_of_reflectsIsomorphisms
haveI : ReflectsColimitsOfShape (Discrete WalkingPair) F :=
reflectsColimitsOfShape_of_reflectsIsomorphisms
exact finitaryExtensive_of_preserves_and_reflects F
end Functor
section FiniteCoproducts
theorem FinitaryPreExtensive.isUniversal_finiteCoproducts_Fin [FinitaryPreExtensive C] {n : ℕ}
{F : Discrete (Fin n) ⥤ C} {c : Cocone F} (hc : IsColimit c) : IsUniversalColimit c := by
let f : Fin n → C := F.obj ∘ Discrete.mk
have : F = Discrete.functor f :=
Functor.hext (fun _ ↦ rfl) (by rintro ⟨i⟩ ⟨j⟩ ⟨⟨rfl : i = j⟩⟩; simp [f])
clear_value f
subst this
induction n with
| zero => exact (isVanKampenColimit_of_isEmpty _ hc).isUniversal
| succ n IH =>
refine IsUniversalColimit.of_iso (@isUniversalColimit_extendCofan _ _ _ _ _ _
(IH _ (coproductIsCoproduct _)) (FinitaryPreExtensive.universal' _ (coprodIsCoprod _ _)) ?_)
((extendCofanIsColimit f (coproductIsCoproduct _) (coprodIsCoprod _ _)).uniqueUpToIso hc)
· dsimp
infer_instance
theorem FinitaryPreExtensive.isUniversal_finiteCoproducts [FinitaryPreExtensive C] {ι : Type*}
[Finite ι] {F : Discrete ι ⥤ C} {c : Cocone F} (hc : IsColimit c) : IsUniversalColimit c := by
obtain ⟨n, ⟨e⟩⟩ := Finite.exists_equiv_fin ι
apply (IsUniversalColimit.whiskerEquivalence_iff (Discrete.equivalence e).symm).mp
apply FinitaryPreExtensive.isUniversal_finiteCoproducts_Fin
exact (IsColimit.whiskerEquivalenceEquiv (Discrete.equivalence e).symm) hc
theorem FinitaryExtensive.isVanKampen_finiteCoproducts_Fin [FinitaryExtensive C] {n : ℕ}
{F : Discrete (Fin n) ⥤ C} {c : Cocone F} (hc : IsColimit c) : IsVanKampenColimit c := by
let f : Fin n → C := F.obj ∘ Discrete.mk
have : F = Discrete.functor f :=
Functor.hext (fun _ ↦ rfl) (by rintro ⟨i⟩ ⟨j⟩ ⟨⟨rfl : i = j⟩⟩; simp [f])
clear_value f
subst this
induction' n with n IH
· exact isVanKampenColimit_of_isEmpty _ hc
· apply IsVanKampenColimit.of_iso _
((extendCofanIsColimit f (coproductIsCoproduct _) (coprodIsCoprod _ _)).uniqueUpToIso hc)
apply @isVanKampenColimit_extendCofan _ _ _ _ _ _ _ _ ?_
· apply IH
exact coproductIsCoproduct _
· apply FinitaryExtensive.van_kampen'
exact coprodIsCoprod _ _
· dsimp
infer_instance
|
theorem FinitaryExtensive.isVanKampen_finiteCoproducts [FinitaryExtensive C] {ι : Type*}
[Finite ι] {F : Discrete ι ⥤ C} {c : Cocone F} (hc : IsColimit c) : IsVanKampenColimit c := by
obtain ⟨n, ⟨e⟩⟩ := Finite.exists_equiv_fin ι
apply (IsVanKampenColimit.whiskerEquivalence_iff (Discrete.equivalence e).symm).mp
apply FinitaryExtensive.isVanKampen_finiteCoproducts_Fin
exact (IsColimit.whiskerEquivalenceEquiv (Discrete.equivalence e).symm) hc
lemma FinitaryPreExtensive.hasPullbacks_of_is_coproduct [FinitaryPreExtensive C] {ι : Type*}
[Finite ι] {F : Discrete ι ⥤ C} {c : Cocone F} (hc : IsColimit c) (i : Discrete ι) {X : C}
(g : X ⟶ _) : HasPullback g (c.ι.app i) := by
classical
let f : ι → C := F.obj ∘ Discrete.mk
have : F = Discrete.functor f :=
Functor.hext (fun i ↦ rfl) (by rintro ⟨i⟩ ⟨j⟩ ⟨⟨rfl : i = j⟩⟩; simp [f])
clear_value f
subst this
change Cofan f at c
| Mathlib/CategoryTheory/Extensive.lean | 462 | 479 |
/-
Copyright (c) 2019 Zhouhang Zhou. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Zhouhang Zhou, Sébastien Gouëzel, Frédéric Dupuis
-/
import Mathlib.Algebra.BigOperators.Field
import Mathlib.Analysis.Complex.Basic
import Mathlib.Analysis.InnerProductSpace.Defs
import Mathlib.GroupTheory.MonoidLocalization.Basic
/-!
# Properties of inner product spaces
This file proves many basic properties of inner product spaces (real or complex).
## Main results
- `inner_mul_inner_self_le`: the Cauchy-Schwartz inequality (one of many variants).
- `norm_inner_eq_norm_iff`: the equality criteion in the Cauchy-Schwartz inequality (also in many
variants).
- `inner_eq_sum_norm_sq_div_four`: the polarization identity.
## Tags
inner product space, Hilbert space, norm
-/
noncomputable section
open RCLike Real Filter Topology ComplexConjugate Finsupp
open LinearMap (BilinForm)
variable {𝕜 E F : Type*} [RCLike 𝕜]
section BasicProperties_Seminormed
open scoped InnerProductSpace
variable [SeminormedAddCommGroup E] [InnerProductSpace 𝕜 E]
variable [SeminormedAddCommGroup F] [InnerProductSpace ℝ F]
local notation "⟪" x ", " y "⟫" => @inner 𝕜 _ _ x y
local postfix:90 "†" => starRingEnd _
export InnerProductSpace (norm_sq_eq_re_inner)
@[simp]
theorem inner_conj_symm (x y : E) : ⟪y, x⟫† = ⟪x, y⟫ :=
InnerProductSpace.conj_inner_symm _ _
theorem real_inner_comm (x y : F) : ⟪y, x⟫_ℝ = ⟪x, y⟫_ℝ :=
@inner_conj_symm ℝ _ _ _ _ x y
theorem inner_eq_zero_symm {x y : E} : ⟪x, y⟫ = 0 ↔ ⟪y, x⟫ = 0 := by
rw [← inner_conj_symm]
exact star_eq_zero
@[simp]
theorem inner_self_im (x : E) : im ⟪x, x⟫ = 0 := by rw [← @ofReal_inj 𝕜, im_eq_conj_sub]; simp
theorem inner_add_left (x y z : E) : ⟪x + y, z⟫ = ⟪x, z⟫ + ⟪y, z⟫ :=
InnerProductSpace.add_left _ _ _
theorem inner_add_right (x y z : E) : ⟪x, y + z⟫ = ⟪x, y⟫ + ⟪x, z⟫ := by
rw [← inner_conj_symm, inner_add_left, RingHom.map_add]
simp only [inner_conj_symm]
theorem inner_re_symm (x y : E) : re ⟪x, y⟫ = re ⟪y, x⟫ := by rw [← inner_conj_symm, conj_re]
theorem inner_im_symm (x y : E) : im ⟪x, y⟫ = -im ⟪y, x⟫ := by rw [← inner_conj_symm, conj_im]
section Algebra
variable {𝕝 : Type*} [CommSemiring 𝕝] [StarRing 𝕝] [Algebra 𝕝 𝕜] [Module 𝕝 E]
[IsScalarTower 𝕝 𝕜 E] [StarModule 𝕝 𝕜]
/-- See `inner_smul_left` for the common special when `𝕜 = 𝕝`. -/
lemma inner_smul_left_eq_star_smul (x y : E) (r : 𝕝) : ⟪r • x, y⟫ = r† • ⟪x, y⟫ := by
rw [← algebraMap_smul 𝕜 r, InnerProductSpace.smul_left, starRingEnd_apply, starRingEnd_apply,
← algebraMap_star_comm, ← smul_eq_mul, algebraMap_smul]
/-- Special case of `inner_smul_left_eq_star_smul` when the acting ring has a trivial star
(eg `ℕ`, `ℤ`, `ℚ≥0`, `ℚ`, `ℝ`). -/
lemma inner_smul_left_eq_smul [TrivialStar 𝕝] (x y : E) (r : 𝕝) : ⟪r • x, y⟫ = r • ⟪x, y⟫ := by
rw [inner_smul_left_eq_star_smul, starRingEnd_apply, star_trivial]
/-- See `inner_smul_right` for the common special when `𝕜 = 𝕝`. -/
lemma inner_smul_right_eq_smul (x y : E) (r : 𝕝) : ⟪x, r • y⟫ = r • ⟪x, y⟫ := by
rw [← inner_conj_symm, inner_smul_left_eq_star_smul, starRingEnd_apply, starRingEnd_apply,
star_smul, star_star, ← starRingEnd_apply, inner_conj_symm]
end Algebra
/-- See `inner_smul_left_eq_star_smul` for the case of a general algebra action. -/
theorem inner_smul_left (x y : E) (r : 𝕜) : ⟪r • x, y⟫ = r† * ⟪x, y⟫ :=
inner_smul_left_eq_star_smul ..
theorem real_inner_smul_left (x y : F) (r : ℝ) : ⟪r • x, y⟫_ℝ = r * ⟪x, y⟫_ℝ :=
inner_smul_left _ _ _
theorem inner_smul_real_left (x y : E) (r : ℝ) : ⟪(r : 𝕜) • x, y⟫ = r • ⟪x, y⟫ := by
rw [inner_smul_left, conj_ofReal, Algebra.smul_def]
/-- See `inner_smul_right_eq_smul` for the case of a general algebra action. -/
theorem inner_smul_right (x y : E) (r : 𝕜) : ⟪x, r • y⟫ = r * ⟪x, y⟫ :=
inner_smul_right_eq_smul ..
theorem real_inner_smul_right (x y : F) (r : ℝ) : ⟪x, r • y⟫_ℝ = r * ⟪x, y⟫_ℝ :=
inner_smul_right _ _ _
theorem inner_smul_real_right (x y : E) (r : ℝ) : ⟪x, (r : 𝕜) • y⟫ = r • ⟪x, y⟫ := by
rw [inner_smul_right, Algebra.smul_def]
/-- The inner product as a sesquilinear form.
Note that in the case `𝕜 = ℝ` this is a bilinear form. -/
@[simps!]
def sesqFormOfInner : E →ₗ[𝕜] E →ₗ⋆[𝕜] 𝕜 :=
LinearMap.mk₂'ₛₗ (RingHom.id 𝕜) (starRingEnd _) (fun x y => ⟪y, x⟫)
(fun _x _y _z => inner_add_right _ _ _) (fun _r _x _y => inner_smul_right _ _ _)
(fun _x _y _z => inner_add_left _ _ _) fun _r _x _y => inner_smul_left _ _ _
/-- The real inner product as a bilinear form.
Note that unlike `sesqFormOfInner`, this does not reverse the order of the arguments. -/
@[simps!]
def bilinFormOfRealInner : BilinForm ℝ F := sesqFormOfInner.flip
/-- An inner product with a sum on the left. -/
theorem sum_inner {ι : Type*} (s : Finset ι) (f : ι → E) (x : E) :
⟪∑ i ∈ s, f i, x⟫ = ∑ i ∈ s, ⟪f i, x⟫ :=
map_sum (sesqFormOfInner (𝕜 := 𝕜) (E := E) x) _ _
/-- An inner product with a sum on the right. -/
theorem inner_sum {ι : Type*} (s : Finset ι) (f : ι → E) (x : E) :
⟪x, ∑ i ∈ s, f i⟫ = ∑ i ∈ s, ⟪x, f i⟫ :=
map_sum (LinearMap.flip sesqFormOfInner x) _ _
/-- An inner product with a sum on the left, `Finsupp` version. -/
protected theorem Finsupp.sum_inner {ι : Type*} (l : ι →₀ 𝕜) (v : ι → E) (x : E) :
⟪l.sum fun (i : ι) (a : 𝕜) => a • v i, x⟫ = l.sum fun (i : ι) (a : 𝕜) => conj a • ⟪v i, x⟫ := by
convert sum_inner (𝕜 := 𝕜) l.support (fun a => l a • v a) x
simp only [inner_smul_left, Finsupp.sum, smul_eq_mul]
/-- An inner product with a sum on the right, `Finsupp` version. -/
protected theorem Finsupp.inner_sum {ι : Type*} (l : ι →₀ 𝕜) (v : ι → E) (x : E) :
⟪x, l.sum fun (i : ι) (a : 𝕜) => a • v i⟫ = l.sum fun (i : ι) (a : 𝕜) => a • ⟪x, v i⟫ := by
convert inner_sum (𝕜 := 𝕜) l.support (fun a => l a • v a) x
simp only [inner_smul_right, Finsupp.sum, smul_eq_mul]
protected theorem DFinsupp.sum_inner {ι : Type*} [DecidableEq ι] {α : ι → Type*}
[∀ i, AddZeroClass (α i)] [∀ (i) (x : α i), Decidable (x ≠ 0)] (f : ∀ i, α i → E)
(l : Π₀ i, α i) (x : E) : ⟪l.sum f, x⟫ = l.sum fun i a => ⟪f i a, x⟫ := by
simp +contextual only [DFinsupp.sum, sum_inner, smul_eq_mul]
protected theorem DFinsupp.inner_sum {ι : Type*} [DecidableEq ι] {α : ι → Type*}
[∀ i, AddZeroClass (α i)] [∀ (i) (x : α i), Decidable (x ≠ 0)] (f : ∀ i, α i → E)
(l : Π₀ i, α i) (x : E) : ⟪x, l.sum f⟫ = l.sum fun i a => ⟪x, f i a⟫ := by
simp +contextual only [DFinsupp.sum, inner_sum, smul_eq_mul]
@[simp]
theorem inner_zero_left (x : E) : ⟪0, x⟫ = 0 := by
rw [← zero_smul 𝕜 (0 : E), inner_smul_left, RingHom.map_zero, zero_mul]
theorem inner_re_zero_left (x : E) : re ⟪0, x⟫ = 0 := by
simp only [inner_zero_left, AddMonoidHom.map_zero]
@[simp]
theorem inner_zero_right (x : E) : ⟪x, 0⟫ = 0 := by
rw [← inner_conj_symm, inner_zero_left, RingHom.map_zero]
theorem inner_re_zero_right (x : E) : re ⟪x, 0⟫ = 0 := by
simp only [inner_zero_right, AddMonoidHom.map_zero]
theorem inner_self_nonneg {x : E} : 0 ≤ re ⟪x, x⟫ :=
PreInnerProductSpace.toCore.re_inner_nonneg x
theorem real_inner_self_nonneg {x : F} : 0 ≤ ⟪x, x⟫_ℝ :=
@inner_self_nonneg ℝ F _ _ _ x
@[simp]
theorem inner_self_ofReal_re (x : E) : (re ⟪x, x⟫ : 𝕜) = ⟪x, x⟫ :=
((RCLike.is_real_TFAE (⟪x, x⟫ : 𝕜)).out 2 3).2 (inner_self_im (𝕜 := 𝕜) x)
theorem inner_self_eq_norm_sq_to_K (x : E) : ⟪x, x⟫ = (‖x‖ : 𝕜) ^ 2 := by
rw [← inner_self_ofReal_re, ← norm_sq_eq_re_inner, ofReal_pow]
theorem inner_self_re_eq_norm (x : E) : re ⟪x, x⟫ = ‖⟪x, x⟫‖ := by
conv_rhs => rw [← inner_self_ofReal_re]
symm
exact norm_of_nonneg inner_self_nonneg
theorem inner_self_ofReal_norm (x : E) : (‖⟪x, x⟫‖ : 𝕜) = ⟪x, x⟫ := by
rw [← inner_self_re_eq_norm]
exact inner_self_ofReal_re _
theorem real_inner_self_abs (x : F) : |⟪x, x⟫_ℝ| = ⟪x, x⟫_ℝ :=
@inner_self_ofReal_norm ℝ F _ _ _ x
theorem norm_inner_symm (x y : E) : ‖⟪x, y⟫‖ = ‖⟪y, x⟫‖ := by rw [← inner_conj_symm, norm_conj]
@[simp]
theorem inner_neg_left (x y : E) : ⟪-x, y⟫ = -⟪x, y⟫ := by
rw [← neg_one_smul 𝕜 x, inner_smul_left]
simp
@[simp]
theorem inner_neg_right (x y : E) : ⟪x, -y⟫ = -⟪x, y⟫ := by
rw [← inner_conj_symm, inner_neg_left]; simp only [RingHom.map_neg, inner_conj_symm]
theorem inner_neg_neg (x y : E) : ⟪-x, -y⟫ = ⟪x, y⟫ := by simp
theorem inner_self_conj (x : E) : ⟪x, x⟫† = ⟪x, x⟫ := inner_conj_symm _ _
theorem inner_sub_left (x y z : E) : ⟪x - y, z⟫ = ⟪x, z⟫ - ⟪y, z⟫ := by
simp [sub_eq_add_neg, inner_add_left]
theorem inner_sub_right (x y z : E) : ⟪x, y - z⟫ = ⟪x, y⟫ - ⟪x, z⟫ := by
simp [sub_eq_add_neg, inner_add_right]
theorem inner_mul_symm_re_eq_norm (x y : E) : re (⟪x, y⟫ * ⟪y, x⟫) = ‖⟪x, y⟫ * ⟪y, x⟫‖ := by
rw [← inner_conj_symm, mul_comm]
exact re_eq_norm_of_mul_conj (inner y x)
/-- Expand `⟪x + y, x + y⟫` -/
theorem inner_add_add_self (x y : E) : ⟪x + y, x + y⟫ = ⟪x, x⟫ + ⟪x, y⟫ + ⟪y, x⟫ + ⟪y, y⟫ := by
simp only [inner_add_left, inner_add_right]; ring
/-- Expand `⟪x + y, x + y⟫_ℝ` -/
theorem real_inner_add_add_self (x y : F) :
⟪x + y, x + y⟫_ℝ = ⟪x, x⟫_ℝ + 2 * ⟪x, y⟫_ℝ + ⟪y, y⟫_ℝ := by
have : ⟪y, x⟫_ℝ = ⟪x, y⟫_ℝ := by rw [← inner_conj_symm]; rfl
simp only [inner_add_add_self, this, add_left_inj]
ring
-- Expand `⟪x - y, x - y⟫`
theorem inner_sub_sub_self (x y : E) : ⟪x - y, x - y⟫ = ⟪x, x⟫ - ⟪x, y⟫ - ⟪y, x⟫ + ⟪y, y⟫ := by
simp only [inner_sub_left, inner_sub_right]; ring
/-- Expand `⟪x - y, x - y⟫_ℝ` -/
theorem real_inner_sub_sub_self (x y : F) :
⟪x - y, x - y⟫_ℝ = ⟪x, x⟫_ℝ - 2 * ⟪x, y⟫_ℝ + ⟪y, y⟫_ℝ := by
have : ⟪y, x⟫_ℝ = ⟪x, y⟫_ℝ := by rw [← inner_conj_symm]; rfl
simp only [inner_sub_sub_self, this, add_left_inj]
ring
/-- Parallelogram law -/
theorem parallelogram_law {x y : E} : ⟪x + y, x + y⟫ + ⟪x - y, x - y⟫ = 2 * (⟪x, x⟫ + ⟪y, y⟫) := by
simp only [inner_add_add_self, inner_sub_sub_self]
ring
/-- **Cauchy–Schwarz inequality**. -/
theorem inner_mul_inner_self_le (x y : E) : ‖⟪x, y⟫‖ * ‖⟪y, x⟫‖ ≤ re ⟪x, x⟫ * re ⟪y, y⟫ :=
letI cd : PreInnerProductSpace.Core 𝕜 E := PreInnerProductSpace.toCore
InnerProductSpace.Core.inner_mul_inner_self_le x y
/-- Cauchy–Schwarz inequality for real inner products. -/
theorem real_inner_mul_inner_self_le (x y : F) : ⟪x, y⟫_ℝ * ⟪x, y⟫_ℝ ≤ ⟪x, x⟫_ℝ * ⟪y, y⟫_ℝ :=
calc
⟪x, y⟫_ℝ * ⟪x, y⟫_ℝ ≤ ‖⟪x, y⟫_ℝ‖ * ‖⟪y, x⟫_ℝ‖ := by
rw [real_inner_comm y, ← norm_mul]
exact le_abs_self _
_ ≤ ⟪x, x⟫_ℝ * ⟪y, y⟫_ℝ := @inner_mul_inner_self_le ℝ _ _ _ _ x y
end BasicProperties_Seminormed
section BasicProperties
variable [NormedAddCommGroup E] [InnerProductSpace 𝕜 E]
variable [NormedAddCommGroup F] [InnerProductSpace ℝ F]
local notation "⟪" x ", " y "⟫" => @inner 𝕜 _ _ x y
export InnerProductSpace (norm_sq_eq_re_inner)
@[simp]
theorem inner_self_eq_zero {x : E} : ⟪x, x⟫ = 0 ↔ x = 0 := by
rw [inner_self_eq_norm_sq_to_K, sq_eq_zero_iff, ofReal_eq_zero, norm_eq_zero]
theorem inner_self_ne_zero {x : E} : ⟪x, x⟫ ≠ 0 ↔ x ≠ 0 :=
inner_self_eq_zero.not
variable (𝕜)
theorem ext_inner_left {x y : E} (h : ∀ v, ⟪v, x⟫ = ⟪v, y⟫) : x = y := by
rw [← sub_eq_zero, ← @inner_self_eq_zero 𝕜, inner_sub_right, sub_eq_zero, h (x - y)]
theorem ext_inner_right {x y : E} (h : ∀ v, ⟪x, v⟫ = ⟪y, v⟫) : x = y := by
rw [← sub_eq_zero, ← @inner_self_eq_zero 𝕜, inner_sub_left, sub_eq_zero, h (x - y)]
variable {𝕜}
@[simp]
theorem re_inner_self_nonpos {x : E} : re ⟪x, x⟫ ≤ 0 ↔ x = 0 := by
rw [← norm_sq_eq_re_inner, (sq_nonneg _).le_iff_eq, sq_eq_zero_iff, norm_eq_zero]
@[simp]
lemma re_inner_self_pos {x : E} : 0 < re ⟪x, x⟫ ↔ x ≠ 0 := by
simpa [-re_inner_self_nonpos] using re_inner_self_nonpos (𝕜 := 𝕜) (x := x).not
@[deprecated (since := "2025-04-22")] alias inner_self_nonpos := re_inner_self_nonpos
@[deprecated (since := "2025-04-22")] alias inner_self_pos := re_inner_self_pos
open scoped InnerProductSpace in
theorem real_inner_self_nonpos {x : F} : ⟪x, x⟫_ℝ ≤ 0 ↔ x = 0 := re_inner_self_nonpos (𝕜 := ℝ)
open scoped InnerProductSpace in
theorem real_inner_self_pos {x : F} : 0 < ⟪x, x⟫_ℝ ↔ x ≠ 0 := re_inner_self_pos (𝕜 := ℝ)
/-- A family of vectors is linearly independent if they are nonzero
and orthogonal. -/
theorem linearIndependent_of_ne_zero_of_inner_eq_zero {ι : Type*} {v : ι → E} (hz : ∀ i, v i ≠ 0)
(ho : Pairwise fun i j => ⟪v i, v j⟫ = 0) : LinearIndependent 𝕜 v := by
rw [linearIndependent_iff']
intro s g hg i hi
have h' : g i * inner (v i) (v i) = inner (v i) (∑ j ∈ s, g j • v j) := by
rw [inner_sum]
symm
convert Finset.sum_eq_single (M := 𝕜) i ?_ ?_
· rw [inner_smul_right]
· intro j _hj hji
rw [inner_smul_right, ho hji.symm, mul_zero]
· exact fun h => False.elim (h hi)
simpa [hg, hz] using h'
end BasicProperties
section Norm_Seminormed
open scoped InnerProductSpace
variable [SeminormedAddCommGroup E] [InnerProductSpace 𝕜 E]
variable [SeminormedAddCommGroup F] [InnerProductSpace ℝ F]
local notation "⟪" x ", " y "⟫" => @inner 𝕜 _ _ x y
local notation "IK" => @RCLike.I 𝕜 _
theorem norm_eq_sqrt_re_inner (x : E) : ‖x‖ = √(re ⟪x, x⟫) :=
calc
‖x‖ = √(‖x‖ ^ 2) := (sqrt_sq (norm_nonneg _)).symm
_ = √(re ⟪x, x⟫) := congr_arg _ (norm_sq_eq_re_inner _)
@[deprecated (since := "2025-04-22")] alias norm_eq_sqrt_inner := norm_eq_sqrt_re_inner
theorem norm_eq_sqrt_real_inner (x : F) : ‖x‖ = √⟪x, x⟫_ℝ :=
@norm_eq_sqrt_re_inner ℝ _ _ _ _ x
theorem inner_self_eq_norm_mul_norm (x : E) : re ⟪x, x⟫ = ‖x‖ * ‖x‖ := by
rw [@norm_eq_sqrt_re_inner 𝕜, ← sqrt_mul inner_self_nonneg (re ⟪x, x⟫),
sqrt_mul_self inner_self_nonneg]
theorem inner_self_eq_norm_sq (x : E) : re ⟪x, x⟫ = ‖x‖ ^ 2 := by
rw [pow_two, inner_self_eq_norm_mul_norm]
theorem real_inner_self_eq_norm_mul_norm (x : F) : ⟪x, x⟫_ℝ = ‖x‖ * ‖x‖ := by
have h := @inner_self_eq_norm_mul_norm ℝ F _ _ _ x
simpa using h
theorem real_inner_self_eq_norm_sq (x : F) : ⟪x, x⟫_ℝ = ‖x‖ ^ 2 := by
rw [pow_two, real_inner_self_eq_norm_mul_norm]
/-- Expand the square -/
theorem norm_add_sq (x y : E) : ‖x + y‖ ^ 2 = ‖x‖ ^ 2 + 2 * re ⟪x, y⟫ + ‖y‖ ^ 2 := by
repeat' rw [sq (M := ℝ), ← @inner_self_eq_norm_mul_norm 𝕜]
rw [inner_add_add_self, two_mul]
simp only [add_assoc, add_left_inj, add_right_inj, AddMonoidHom.map_add]
rw [← inner_conj_symm, conj_re]
alias norm_add_pow_two := norm_add_sq
/-- Expand the square -/
theorem norm_add_sq_real (x y : F) : ‖x + y‖ ^ 2 = ‖x‖ ^ 2 + 2 * ⟪x, y⟫_ℝ + ‖y‖ ^ 2 := by
have h := @norm_add_sq ℝ _ _ _ _ x y
simpa using h
alias norm_add_pow_two_real := norm_add_sq_real
/-- Expand the square -/
theorem norm_add_mul_self (x y : E) :
‖x + y‖ * ‖x + y‖ = ‖x‖ * ‖x‖ + 2 * re ⟪x, y⟫ + ‖y‖ * ‖y‖ := by
repeat' rw [← sq (M := ℝ)]
exact norm_add_sq _ _
/-- Expand the square -/
theorem norm_add_mul_self_real (x y : F) :
‖x + y‖ * ‖x + y‖ = ‖x‖ * ‖x‖ + 2 * ⟪x, y⟫_ℝ + ‖y‖ * ‖y‖ := by
have h := @norm_add_mul_self ℝ _ _ _ _ x y
simpa using h
/-- Expand the square -/
theorem norm_sub_sq (x y : E) : ‖x - y‖ ^ 2 = ‖x‖ ^ 2 - 2 * re ⟪x, y⟫ + ‖y‖ ^ 2 := by
rw [sub_eq_add_neg, @norm_add_sq 𝕜 _ _ _ _ x (-y), norm_neg, inner_neg_right, map_neg, mul_neg,
sub_eq_add_neg]
alias norm_sub_pow_two := norm_sub_sq
/-- Expand the square -/
theorem norm_sub_sq_real (x y : F) : ‖x - y‖ ^ 2 = ‖x‖ ^ 2 - 2 * ⟪x, y⟫_ℝ + ‖y‖ ^ 2 :=
@norm_sub_sq ℝ _ _ _ _ _ _
alias norm_sub_pow_two_real := norm_sub_sq_real
/-- Expand the square -/
theorem norm_sub_mul_self (x y : E) :
‖x - y‖ * ‖x - y‖ = ‖x‖ * ‖x‖ - 2 * re ⟪x, y⟫ + ‖y‖ * ‖y‖ := by
repeat' rw [← sq (M := ℝ)]
exact norm_sub_sq _ _
/-- Expand the square -/
theorem norm_sub_mul_self_real (x y : F) :
‖x - y‖ * ‖x - y‖ = ‖x‖ * ‖x‖ - 2 * ⟪x, y⟫_ℝ + ‖y‖ * ‖y‖ := by
have h := @norm_sub_mul_self ℝ _ _ _ _ x y
simpa using h
/-- Cauchy–Schwarz inequality with norm -/
theorem norm_inner_le_norm (x y : E) : ‖⟪x, y⟫‖ ≤ ‖x‖ * ‖y‖ := by
rw [norm_eq_sqrt_re_inner (𝕜 := 𝕜) x, norm_eq_sqrt_re_inner (𝕜 := 𝕜) y]
letI : PreInnerProductSpace.Core 𝕜 E := PreInnerProductSpace.toCore
exact InnerProductSpace.Core.norm_inner_le_norm x y
theorem nnnorm_inner_le_nnnorm (x y : E) : ‖⟪x, y⟫‖₊ ≤ ‖x‖₊ * ‖y‖₊ :=
norm_inner_le_norm x y
theorem re_inner_le_norm (x y : E) : re ⟪x, y⟫ ≤ ‖x‖ * ‖y‖ :=
le_trans (re_le_norm (inner x y)) (norm_inner_le_norm x y)
/-- Cauchy–Schwarz inequality with norm -/
theorem abs_real_inner_le_norm (x y : F) : |⟪x, y⟫_ℝ| ≤ ‖x‖ * ‖y‖ :=
(Real.norm_eq_abs _).ge.trans (norm_inner_le_norm x y)
/-- Cauchy–Schwarz inequality with norm -/
theorem real_inner_le_norm (x y : F) : ⟪x, y⟫_ℝ ≤ ‖x‖ * ‖y‖ :=
le_trans (le_abs_self _) (abs_real_inner_le_norm _ _)
lemma inner_eq_zero_of_left {x : E} (y : E) (h : ‖x‖ = 0) : ⟪x, y⟫_𝕜 = 0 := by
rw [← norm_eq_zero]
refine le_antisymm ?_ (by positivity)
exact norm_inner_le_norm _ _ |>.trans <| by simp [h]
lemma inner_eq_zero_of_right (x : E) {y : E} (h : ‖y‖ = 0) : ⟪x, y⟫_𝕜 = 0 := by
rw [inner_eq_zero_symm, inner_eq_zero_of_left _ h]
variable (𝕜)
include 𝕜 in
theorem parallelogram_law_with_norm (x y : E) :
‖x + y‖ * ‖x + y‖ + ‖x - y‖ * ‖x - y‖ = 2 * (‖x‖ * ‖x‖ + ‖y‖ * ‖y‖) := by
simp only [← @inner_self_eq_norm_mul_norm 𝕜]
rw [← re.map_add, parallelogram_law, two_mul, two_mul]
simp only [re.map_add]
include 𝕜 in
theorem parallelogram_law_with_nnnorm (x y : E) :
‖x + y‖₊ * ‖x + y‖₊ + ‖x - y‖₊ * ‖x - y‖₊ = 2 * (‖x‖₊ * ‖x‖₊ + ‖y‖₊ * ‖y‖₊) :=
Subtype.ext <| parallelogram_law_with_norm 𝕜 x y
variable {𝕜}
/-- Polarization identity: The real part of the inner product, in terms of the norm. -/
theorem re_inner_eq_norm_add_mul_self_sub_norm_mul_self_sub_norm_mul_self_div_two (x y : E) :
re ⟪x, y⟫ = (‖x + y‖ * ‖x + y‖ - ‖x‖ * ‖x‖ - ‖y‖ * ‖y‖) / 2 := by
rw [@norm_add_mul_self 𝕜]
ring
/-- Polarization identity: The real part of the inner product, in terms of the norm. -/
theorem re_inner_eq_norm_mul_self_add_norm_mul_self_sub_norm_sub_mul_self_div_two (x y : E) :
re ⟪x, y⟫ = (‖x‖ * ‖x‖ + ‖y‖ * ‖y‖ - ‖x - y‖ * ‖x - y‖) / 2 := by
rw [@norm_sub_mul_self 𝕜]
ring
/-- Polarization identity: The real part of the inner product, in terms of the norm. -/
theorem re_inner_eq_norm_add_mul_self_sub_norm_sub_mul_self_div_four (x y : E) :
re ⟪x, y⟫ = (‖x + y‖ * ‖x + y‖ - ‖x - y‖ * ‖x - y‖) / 4 := by
rw [@norm_add_mul_self 𝕜, @norm_sub_mul_self 𝕜]
ring
/-- Polarization identity: The imaginary part of the inner product, in terms of the norm. -/
theorem im_inner_eq_norm_sub_i_smul_mul_self_sub_norm_add_i_smul_mul_self_div_four (x y : E) :
im ⟪x, y⟫ = (‖x - IK • y‖ * ‖x - IK • y‖ - ‖x + IK • y‖ * ‖x + IK • y‖) / 4 := by
simp only [@norm_add_mul_self 𝕜, @norm_sub_mul_self 𝕜, inner_smul_right, I_mul_re]
ring
/-- Polarization identity: The inner product, in terms of the norm. -/
theorem inner_eq_sum_norm_sq_div_four (x y : E) :
⟪x, y⟫ = ((‖x + y‖ : 𝕜) ^ 2 - (‖x - y‖ : 𝕜) ^ 2 +
((‖x - IK • y‖ : 𝕜) ^ 2 - (‖x + IK • y‖ : 𝕜) ^ 2) * IK) / 4 := by
rw [← re_add_im ⟪x, y⟫, re_inner_eq_norm_add_mul_self_sub_norm_sub_mul_self_div_four,
im_inner_eq_norm_sub_i_smul_mul_self_sub_norm_add_i_smul_mul_self_div_four]
push_cast
simp only [sq, ← mul_div_right_comm, ← add_div]
/-- Polarization identity: The real inner product, in terms of the norm. -/
theorem real_inner_eq_norm_add_mul_self_sub_norm_mul_self_sub_norm_mul_self_div_two (x y : F) :
⟪x, y⟫_ℝ = (‖x + y‖ * ‖x + y‖ - ‖x‖ * ‖x‖ - ‖y‖ * ‖y‖) / 2 :=
re_to_real.symm.trans <|
re_inner_eq_norm_add_mul_self_sub_norm_mul_self_sub_norm_mul_self_div_two x y
/-- Polarization identity: The real inner product, in terms of the norm. -/
theorem real_inner_eq_norm_mul_self_add_norm_mul_self_sub_norm_sub_mul_self_div_two (x y : F) :
⟪x, y⟫_ℝ = (‖x‖ * ‖x‖ + ‖y‖ * ‖y‖ - ‖x - y‖ * ‖x - y‖) / 2 :=
re_to_real.symm.trans <|
re_inner_eq_norm_mul_self_add_norm_mul_self_sub_norm_sub_mul_self_div_two x y
/-- Pythagorean theorem, if-and-only-if vector inner product form. -/
theorem norm_add_sq_eq_norm_sq_add_norm_sq_iff_real_inner_eq_zero (x y : F) :
‖x + y‖ * ‖x + y‖ = ‖x‖ * ‖x‖ + ‖y‖ * ‖y‖ ↔ ⟪x, y⟫_ℝ = 0 := by
rw [@norm_add_mul_self ℝ, add_right_cancel_iff, add_eq_left, mul_eq_zero]
norm_num
/-- Pythagorean theorem, if-and-if vector inner product form using square roots. -/
theorem norm_add_eq_sqrt_iff_real_inner_eq_zero {x y : F} :
‖x + y‖ = √(‖x‖ * ‖x‖ + ‖y‖ * ‖y‖) ↔ ⟪x, y⟫_ℝ = 0 := by
rw [← norm_add_sq_eq_norm_sq_add_norm_sq_iff_real_inner_eq_zero, eq_comm, sqrt_eq_iff_mul_self_eq,
eq_comm] <;> positivity
/-- Pythagorean theorem, vector inner product form. -/
theorem norm_add_sq_eq_norm_sq_add_norm_sq_of_inner_eq_zero (x y : E) (h : ⟪x, y⟫ = 0) :
‖x + y‖ * ‖x + y‖ = ‖x‖ * ‖x‖ + ‖y‖ * ‖y‖ := by
rw [@norm_add_mul_self 𝕜, add_right_cancel_iff, add_eq_left, mul_eq_zero]
apply Or.inr
simp only [h, zero_re']
/-- Pythagorean theorem, vector inner product form. -/
theorem norm_add_sq_eq_norm_sq_add_norm_sq_real {x y : F} (h : ⟪x, y⟫_ℝ = 0) :
‖x + y‖ * ‖x + y‖ = ‖x‖ * ‖x‖ + ‖y‖ * ‖y‖ :=
(norm_add_sq_eq_norm_sq_add_norm_sq_iff_real_inner_eq_zero x y).2 h
/-- Pythagorean theorem, subtracting vectors, if-and-only-if vector
inner product form. -/
theorem norm_sub_sq_eq_norm_sq_add_norm_sq_iff_real_inner_eq_zero (x y : F) :
‖x - y‖ * ‖x - y‖ = ‖x‖ * ‖x‖ + ‖y‖ * ‖y‖ ↔ ⟪x, y⟫_ℝ = 0 := by
rw [@norm_sub_mul_self ℝ, add_right_cancel_iff, sub_eq_add_neg, add_eq_left, neg_eq_zero,
mul_eq_zero]
norm_num
/-- Pythagorean theorem, subtracting vectors, if-and-if vector inner product form using square
roots. -/
theorem norm_sub_eq_sqrt_iff_real_inner_eq_zero {x y : F} :
‖x - y‖ = √(‖x‖ * ‖x‖ + ‖y‖ * ‖y‖) ↔ ⟪x, y⟫_ℝ = 0 := by
rw [← norm_sub_sq_eq_norm_sq_add_norm_sq_iff_real_inner_eq_zero, eq_comm, sqrt_eq_iff_mul_self_eq,
eq_comm] <;> positivity
/-- Pythagorean theorem, subtracting vectors, vector inner product
form. -/
theorem norm_sub_sq_eq_norm_sq_add_norm_sq_real {x y : F} (h : ⟪x, y⟫_ℝ = 0) :
‖x - y‖ * ‖x - y‖ = ‖x‖ * ‖x‖ + ‖y‖ * ‖y‖ :=
(norm_sub_sq_eq_norm_sq_add_norm_sq_iff_real_inner_eq_zero x y).2 h
/-- The sum and difference of two vectors are orthogonal if and only
if they have the same norm. -/
theorem real_inner_add_sub_eq_zero_iff (x y : F) : ⟪x + y, x - y⟫_ℝ = 0 ↔ ‖x‖ = ‖y‖ := by
conv_rhs => rw [← mul_self_inj_of_nonneg (norm_nonneg _) (norm_nonneg _)]
simp only [← @inner_self_eq_norm_mul_norm ℝ, inner_add_left, inner_sub_right, real_inner_comm y x,
sub_eq_zero, re_to_real]
constructor
· intro h
rw [add_comm] at h
linarith
· intro h
linarith
/-- Given two orthogonal vectors, their sum and difference have equal norms. -/
theorem norm_sub_eq_norm_add {v w : E} (h : ⟪v, w⟫ = 0) : ‖w - v‖ = ‖w + v‖ := by
rw [← mul_self_inj_of_nonneg (norm_nonneg _) (norm_nonneg _)]
simp only [h, ← @inner_self_eq_norm_mul_norm 𝕜, sub_neg_eq_add, sub_zero, map_sub, zero_re',
zero_sub, add_zero, map_add, inner_add_right, inner_sub_left, inner_sub_right, inner_re_symm,
zero_add]
/-- The real inner product of two vectors, divided by the product of their
norms, has absolute value at most 1. -/
theorem abs_real_inner_div_norm_mul_norm_le_one (x y : F) : |⟪x, y⟫_ℝ / (‖x‖ * ‖y‖)| ≤ 1 := by
rw [abs_div, abs_mul, abs_norm, abs_norm]
exact div_le_one_of_le₀ (abs_real_inner_le_norm x y) (by positivity)
/-- The inner product of a vector with a multiple of itself. -/
theorem real_inner_smul_self_left (x : F) (r : ℝ) : ⟪r • x, x⟫_ℝ = r * (‖x‖ * ‖x‖) := by
rw [real_inner_smul_left, ← real_inner_self_eq_norm_mul_norm]
/-- The inner product of a vector with a multiple of itself. -/
theorem real_inner_smul_self_right (x : F) (r : ℝ) : ⟪x, r • x⟫_ℝ = r * (‖x‖ * ‖x‖) := by
rw [inner_smul_right, ← real_inner_self_eq_norm_mul_norm]
/-- The inner product of two weighted sums, where the weights in each
sum add to 0, in terms of the norms of pairwise differences. -/
theorem inner_sum_smul_sum_smul_of_sum_eq_zero {ι₁ : Type*} {s₁ : Finset ι₁} {w₁ : ι₁ → ℝ}
(v₁ : ι₁ → F) (h₁ : ∑ i ∈ s₁, w₁ i = 0) {ι₂ : Type*} {s₂ : Finset ι₂} {w₂ : ι₂ → ℝ}
(v₂ : ι₂ → F) (h₂ : ∑ i ∈ s₂, w₂ i = 0) :
⟪∑ i₁ ∈ s₁, w₁ i₁ • v₁ i₁, ∑ i₂ ∈ s₂, w₂ i₂ • v₂ i₂⟫_ℝ =
(-∑ i₁ ∈ s₁, ∑ i₂ ∈ s₂, w₁ i₁ * w₂ i₂ * (‖v₁ i₁ - v₂ i₂‖ * ‖v₁ i₁ - v₂ i₂‖)) / 2 := by
simp_rw [sum_inner, inner_sum, real_inner_smul_left, real_inner_smul_right,
real_inner_eq_norm_mul_self_add_norm_mul_self_sub_norm_sub_mul_self_div_two, ← div_sub_div_same,
← div_add_div_same, mul_sub_left_distrib, left_distrib, Finset.sum_sub_distrib,
Finset.sum_add_distrib, ← Finset.mul_sum, ← Finset.sum_mul, h₁, h₂, zero_mul,
mul_zero, Finset.sum_const_zero, zero_add, zero_sub, Finset.mul_sum, neg_div,
Finset.sum_div, mul_div_assoc, mul_assoc]
end Norm_Seminormed
section Norm
open scoped InnerProductSpace
variable [NormedAddCommGroup E] [InnerProductSpace 𝕜 E]
variable [NormedAddCommGroup F] [InnerProductSpace ℝ F]
variable {ι : Type*}
local notation "⟪" x ", " y "⟫" => @inner 𝕜 _ _ x y
/-- Formula for the distance between the images of two nonzero points under an inversion with center
zero. See also `EuclideanGeometry.dist_inversion_inversion` for inversions around a general
point. -/
theorem dist_div_norm_sq_smul {x y : F} (hx : x ≠ 0) (hy : y ≠ 0) (R : ℝ) :
dist ((R / ‖x‖) ^ 2 • x) ((R / ‖y‖) ^ 2 • y) = R ^ 2 / (‖x‖ * ‖y‖) * dist x y :=
calc
dist ((R / ‖x‖) ^ 2 • x) ((R / ‖y‖) ^ 2 • y) =
√(‖(R / ‖x‖) ^ 2 • x - (R / ‖y‖) ^ 2 • y‖ ^ 2) := by
rw [dist_eq_norm, sqrt_sq (norm_nonneg _)]
_ = √((R ^ 2 / (‖x‖ * ‖y‖)) ^ 2 * ‖x - y‖ ^ 2) :=
congr_arg sqrt <| by
field_simp [sq, norm_sub_mul_self_real, norm_smul, real_inner_smul_left, inner_smul_right,
Real.norm_of_nonneg (mul_self_nonneg _)]
ring
_ = R ^ 2 / (‖x‖ * ‖y‖) * dist x y := by
rw [sqrt_mul, sqrt_sq, sqrt_sq, dist_eq_norm] <;> positivity
/-- The inner product of a nonzero vector with a nonzero multiple of
itself, divided by the product of their norms, has absolute value
1. -/
theorem norm_inner_div_norm_mul_norm_eq_one_of_ne_zero_of_ne_zero_mul {x : E} {r : 𝕜} (hx : x ≠ 0)
(hr : r ≠ 0) : ‖⟪x, r • x⟫‖ / (‖x‖ * ‖r • x‖) = 1 := by
have hx' : ‖x‖ ≠ 0 := by simp [hx]
have hr' : ‖r‖ ≠ 0 := by simp [hr]
rw [inner_smul_right, norm_mul, ← inner_self_re_eq_norm, inner_self_eq_norm_mul_norm, norm_smul]
rw [← mul_assoc, ← div_div, mul_div_cancel_right₀ _ hx', ← div_div, mul_comm,
mul_div_cancel_right₀ _ hr', div_self hx']
/-- The inner product of a nonzero vector with a nonzero multiple of
itself, divided by the product of their norms, has absolute value
1. -/
theorem abs_real_inner_div_norm_mul_norm_eq_one_of_ne_zero_of_ne_zero_mul {x : F} {r : ℝ}
(hx : x ≠ 0) (hr : r ≠ 0) : |⟪x, r • x⟫_ℝ| / (‖x‖ * ‖r • x‖) = 1 :=
norm_inner_div_norm_mul_norm_eq_one_of_ne_zero_of_ne_zero_mul hx hr
/-- The inner product of a nonzero vector with a positive multiple of
itself, divided by the product of their norms, has value 1. -/
theorem real_inner_div_norm_mul_norm_eq_one_of_ne_zero_of_pos_mul {x : F} {r : ℝ} (hx : x ≠ 0)
(hr : 0 < r) : ⟪x, r • x⟫_ℝ / (‖x‖ * ‖r • x‖) = 1 := by
rw [real_inner_smul_self_right, norm_smul, Real.norm_eq_abs, ← mul_assoc ‖x‖, mul_comm _ |r|,
mul_assoc, abs_of_nonneg hr.le, div_self]
exact mul_ne_zero hr.ne' (mul_self_ne_zero.2 (norm_ne_zero_iff.2 hx))
/-- The inner product of a nonzero vector with a negative multiple of
itself, divided by the product of their norms, has value -1. -/
theorem real_inner_div_norm_mul_norm_eq_neg_one_of_ne_zero_of_neg_mul {x : F} {r : ℝ} (hx : x ≠ 0)
(hr : r < 0) : ⟪x, r • x⟫_ℝ / (‖x‖ * ‖r • x‖) = -1 := by
rw [real_inner_smul_self_right, norm_smul, Real.norm_eq_abs, ← mul_assoc ‖x‖, mul_comm _ |r|,
mul_assoc, abs_of_neg hr, neg_mul, div_neg_eq_neg_div, div_self]
exact mul_ne_zero hr.ne (mul_self_ne_zero.2 (norm_ne_zero_iff.2 hx))
theorem norm_inner_eq_norm_tfae (x y : E) :
List.TFAE [‖⟪x, y⟫‖ = ‖x‖ * ‖y‖,
x = 0 ∨ y = (⟪x, y⟫ / ⟪x, x⟫) • x,
x = 0 ∨ ∃ r : 𝕜, y = r • x,
x = 0 ∨ y ∈ 𝕜 ∙ x] := by
tfae_have 1 → 2 := by
refine fun h => or_iff_not_imp_left.2 fun hx₀ => ?_
have : ‖x‖ ^ 2 ≠ 0 := pow_ne_zero _ (norm_ne_zero_iff.2 hx₀)
rw [← sq_eq_sq₀, mul_pow, ← mul_right_inj' this, eq_comm, ← sub_eq_zero, ← mul_sub] at h <;>
try positivity
simp only [@norm_sq_eq_re_inner 𝕜] at h
letI : InnerProductSpace.Core 𝕜 E := InnerProductSpace.toCore
erw [← InnerProductSpace.Core.cauchy_schwarz_aux (𝕜 := 𝕜) (F := E)] at h
rw [InnerProductSpace.Core.normSq_eq_zero, sub_eq_zero] at h
rw [div_eq_inv_mul, mul_smul, h, inv_smul_smul₀]
rwa [inner_self_ne_zero]
tfae_have 2 → 3 := fun h => h.imp_right fun h' => ⟨_, h'⟩
tfae_have 3 → 1 := by
rintro (rfl | ⟨r, rfl⟩) <;>
simp [inner_smul_right, norm_smul, inner_self_eq_norm_sq_to_K, inner_self_eq_norm_mul_norm,
sq, mul_left_comm]
tfae_have 3 ↔ 4 := by simp only [Submodule.mem_span_singleton, eq_comm]
tfae_finish
/-- If the inner product of two vectors is equal to the product of their norms, then the two vectors
are multiples of each other. One form of the equality case for Cauchy-Schwarz.
Compare `inner_eq_norm_mul_iff`, which takes the stronger hypothesis `⟪x, y⟫ = ‖x‖ * ‖y‖`. -/
theorem norm_inner_eq_norm_iff {x y : E} (hx₀ : x ≠ 0) (hy₀ : y ≠ 0) :
‖⟪x, y⟫‖ = ‖x‖ * ‖y‖ ↔ ∃ r : 𝕜, r ≠ 0 ∧ y = r • x :=
calc
‖⟪x, y⟫‖ = ‖x‖ * ‖y‖ ↔ x = 0 ∨ ∃ r : 𝕜, y = r • x :=
(@norm_inner_eq_norm_tfae 𝕜 _ _ _ _ x y).out 0 2
_ ↔ ∃ r : 𝕜, y = r • x := or_iff_right hx₀
_ ↔ ∃ r : 𝕜, r ≠ 0 ∧ y = r • x :=
⟨fun ⟨r, h⟩ => ⟨r, fun hr₀ => hy₀ <| h.symm ▸ smul_eq_zero.2 <| Or.inl hr₀, h⟩,
fun ⟨r, _hr₀, h⟩ => ⟨r, h⟩⟩
/-- The inner product of two vectors, divided by the product of their
norms, has absolute value 1 if and only if they are nonzero and one is
a multiple of the other. One form of equality case for Cauchy-Schwarz. -/
theorem norm_inner_div_norm_mul_norm_eq_one_iff (x y : E) :
‖⟪x, y⟫ / (‖x‖ * ‖y‖)‖ = 1 ↔ x ≠ 0 ∧ ∃ r : 𝕜, r ≠ 0 ∧ y = r • x := by
constructor
· intro h
have hx₀ : x ≠ 0 := fun h₀ => by simp [h₀] at h
have hy₀ : y ≠ 0 := fun h₀ => by simp [h₀] at h
refine ⟨hx₀, (norm_inner_eq_norm_iff hx₀ hy₀).1 <| eq_of_div_eq_one ?_⟩
simpa using h
· rintro ⟨hx, ⟨r, ⟨hr, rfl⟩⟩⟩
simp only [norm_div, norm_mul, norm_ofReal, abs_norm]
exact norm_inner_div_norm_mul_norm_eq_one_of_ne_zero_of_ne_zero_mul hx hr
/-- The inner product of two vectors, divided by the product of their
norms, has absolute value 1 if and only if they are nonzero and one is
a multiple of the other. One form of equality case for Cauchy-Schwarz. -/
theorem abs_real_inner_div_norm_mul_norm_eq_one_iff (x y : F) :
|⟪x, y⟫_ℝ / (‖x‖ * ‖y‖)| = 1 ↔ x ≠ 0 ∧ ∃ r : ℝ, r ≠ 0 ∧ y = r • x :=
@norm_inner_div_norm_mul_norm_eq_one_iff ℝ F _ _ _ x y
theorem inner_eq_norm_mul_iff_div {x y : E} (h₀ : x ≠ 0) :
⟪x, y⟫ = (‖x‖ : 𝕜) * ‖y‖ ↔ (‖y‖ / ‖x‖ : 𝕜) • x = y := by
have h₀' := h₀
rw [← norm_ne_zero_iff, Ne, ← @ofReal_eq_zero 𝕜] at h₀'
constructor <;> intro h
· have : x = 0 ∨ y = (⟪x, y⟫ / ⟪x, x⟫ : 𝕜) • x :=
((@norm_inner_eq_norm_tfae 𝕜 _ _ _ _ x y).out 0 1).1 (by simp [h])
rw [this.resolve_left h₀, h]
simp [norm_smul, inner_self_ofReal_norm, mul_div_cancel_right₀ _ h₀']
· conv_lhs => rw [← h, inner_smul_right, inner_self_eq_norm_sq_to_K]
field_simp [sq, mul_left_comm]
/-- If the inner product of two vectors is equal to the product of their norms (i.e.,
`⟪x, y⟫ = ‖x‖ * ‖y‖`), then the two vectors are nonnegative real multiples of each other. One form
of the equality case for Cauchy-Schwarz.
Compare `norm_inner_eq_norm_iff`, which takes the weaker hypothesis `abs ⟪x, y⟫ = ‖x‖ * ‖y‖`. -/
theorem inner_eq_norm_mul_iff {x y : E} :
⟪x, y⟫ = (‖x‖ : 𝕜) * ‖y‖ ↔ (‖y‖ : 𝕜) • x = (‖x‖ : 𝕜) • y := by
rcases eq_or_ne x 0 with (rfl | h₀)
· simp
· rw [inner_eq_norm_mul_iff_div h₀, div_eq_inv_mul, mul_smul, inv_smul_eq_iff₀]
rwa [Ne, ofReal_eq_zero, norm_eq_zero]
/-- If the inner product of two vectors is equal to the product of their norms (i.e.,
`⟪x, y⟫ = ‖x‖ * ‖y‖`), then the two vectors are nonnegative real multiples of each other. One form
of the equality case for Cauchy-Schwarz.
Compare `norm_inner_eq_norm_iff`, which takes the weaker hypothesis `abs ⟪x, y⟫ = ‖x‖ * ‖y‖`. -/
theorem inner_eq_norm_mul_iff_real {x y : F} : ⟪x, y⟫_ℝ = ‖x‖ * ‖y‖ ↔ ‖y‖ • x = ‖x‖ • y :=
inner_eq_norm_mul_iff
/-- The inner product of two vectors, divided by the product of their
norms, has value 1 if and only if they are nonzero and one is
a positive multiple of the other. -/
theorem real_inner_div_norm_mul_norm_eq_one_iff (x y : F) :
⟪x, y⟫_ℝ / (‖x‖ * ‖y‖) = 1 ↔ x ≠ 0 ∧ ∃ r : ℝ, 0 < r ∧ y = r • x := by
constructor
· intro h
have hx₀ : x ≠ 0 := fun h₀ => by simp [h₀] at h
have hy₀ : y ≠ 0 := fun h₀ => by simp [h₀] at h
refine ⟨hx₀, ‖y‖ / ‖x‖, div_pos (norm_pos_iff.2 hy₀) (norm_pos_iff.2 hx₀), ?_⟩
exact ((inner_eq_norm_mul_iff_div hx₀).1 (eq_of_div_eq_one h)).symm
· rintro ⟨hx, ⟨r, ⟨hr, rfl⟩⟩⟩
exact real_inner_div_norm_mul_norm_eq_one_of_ne_zero_of_pos_mul hx hr
/-- The inner product of two vectors, divided by the product of their
norms, has value -1 if and only if they are nonzero and one is
a negative multiple of the other. -/
theorem real_inner_div_norm_mul_norm_eq_neg_one_iff (x y : F) :
⟪x, y⟫_ℝ / (‖x‖ * ‖y‖) = -1 ↔ x ≠ 0 ∧ ∃ r : ℝ, r < 0 ∧ y = r • x := by
rw [← neg_eq_iff_eq_neg, ← neg_div, ← inner_neg_right, ← norm_neg y,
real_inner_div_norm_mul_norm_eq_one_iff, (@neg_surjective ℝ _).exists]
refine Iff.rfl.and (exists_congr fun r => ?_)
rw [neg_pos, neg_smul, neg_inj]
/-- If the inner product of two unit vectors is `1`, then the two vectors are equal. One form of
the equality case for Cauchy-Schwarz. -/
theorem inner_eq_one_iff_of_norm_one {x y : E} (hx : ‖x‖ = 1) (hy : ‖y‖ = 1) :
⟪x, y⟫ = 1 ↔ x = y := by
convert inner_eq_norm_mul_iff (𝕜 := 𝕜) (E := E) using 2 <;> simp [hx, hy]
theorem inner_lt_norm_mul_iff_real {x y : F} : ⟪x, y⟫_ℝ < ‖x‖ * ‖y‖ ↔ ‖y‖ • x ≠ ‖x‖ • y :=
calc
⟪x, y⟫_ℝ < ‖x‖ * ‖y‖ ↔ ⟪x, y⟫_ℝ ≠ ‖x‖ * ‖y‖ :=
⟨ne_of_lt, lt_of_le_of_ne (real_inner_le_norm _ _)⟩
_ ↔ ‖y‖ • x ≠ ‖x‖ • y := not_congr inner_eq_norm_mul_iff_real
/-- If the inner product of two unit vectors is strictly less than `1`, then the two vectors are
distinct. One form of the equality case for Cauchy-Schwarz. -/
theorem inner_lt_one_iff_real_of_norm_one {x y : F} (hx : ‖x‖ = 1) (hy : ‖y‖ = 1) :
⟪x, y⟫_ℝ < 1 ↔ x ≠ y := by convert inner_lt_norm_mul_iff_real (F := F) <;> simp [hx, hy]
/-- The sphere of radius `r = ‖y‖` is tangent to the plane `⟪x, y⟫ = ‖y‖ ^ 2` at `x = y`. -/
theorem eq_of_norm_le_re_inner_eq_norm_sq {x y : E} (hle : ‖x‖ ≤ ‖y‖) (h : re ⟪x, y⟫ = ‖y‖ ^ 2) :
x = y := by
suffices H : re ⟪x - y, x - y⟫ ≤ 0 by rwa [re_inner_self_nonpos, sub_eq_zero] at H
have H₁ : ‖x‖ ^ 2 ≤ ‖y‖ ^ 2 := by gcongr
have H₂ : re ⟪y, x⟫ = ‖y‖ ^ 2 := by rwa [← inner_conj_symm, conj_re]
simpa [inner_sub_left, inner_sub_right, ← norm_sq_eq_re_inner, h, H₂] using H₁
end Norm
section RCLike
local notation "⟪" x ", " y "⟫" => @inner 𝕜 _ _ x y
/-- A field `𝕜` satisfying `RCLike` is itself a `𝕜`-inner product space. -/
instance RCLike.innerProductSpace : InnerProductSpace 𝕜 𝕜 where
inner x y := y * conj x
norm_sq_eq_re_inner x := by simp only [inner, mul_conj, ← ofReal_pow, ofReal_re]
conj_inner_symm x y := by simp only [mul_comm, map_mul, starRingEnd_self_apply]
add_left x y z := by simp only [mul_add, map_add]
smul_left x y z := by simp only [mul_comm (conj z), mul_assoc, smul_eq_mul, map_mul]
@[simp]
theorem RCLike.inner_apply (x y : 𝕜) : ⟪x, y⟫ = y * conj x :=
rfl
/-- A version of `RCLike.inner_apply` that swaps the order of multiplication. -/
theorem RCLike.inner_apply' (x y : 𝕜) : ⟪x, y⟫ = conj x * y := mul_comm _ _
end RCLike
section RCLikeToReal
open scoped InnerProductSpace
variable {G : Type*}
variable (𝕜 E)
variable [SeminormedAddCommGroup E] [InnerProductSpace 𝕜 E]
local notation "⟪" x ", " y "⟫" => @inner 𝕜 _ _ x y
/-- A general inner product implies a real inner product. This is not registered as an instance
since `𝕜` does not appear in the return type `Inner ℝ E`. -/
def Inner.rclikeToReal : Inner ℝ E where inner x y := re ⟪x, y⟫
/-- A general inner product space structure implies a real inner product structure.
This is not registered as an instance since
* `𝕜` does not appear in the return type `InnerProductSpace ℝ E`,
* It is likely to create instance diamonds, as it builds upon the diamond-prone
`NormedSpace.restrictScalars`.
However, it can be used in a proof to obtain a real inner product space structure from a given
| `𝕜`-inner product space structure. -/
-- See note [reducible non instances]
abbrev InnerProductSpace.rclikeToReal : InnerProductSpace ℝ E :=
{ Inner.rclikeToReal 𝕜 E,
| Mathlib/Analysis/InnerProductSpace/Basic.lean | 847 | 850 |
/-
Copyright (c) 2023 Yury Kudryashov. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yury Kudryashov
-/
import Mathlib.Analysis.Calculus.Deriv.Add
import Mathlib.Analysis.Calculus.Deriv.Linear
import Mathlib.LinearAlgebra.AffineSpace.AffineMap
/-!
# Derivatives of affine maps
In this file we prove formulas for one-dimensional derivatives of affine maps `f : 𝕜 →ᵃ[𝕜] E`. We
also specialise some of these results to `AffineMap.lineMap` because it is useful to transfer MVT
from dimension 1 to a domain in higher dimension.
## TODO
Add theorems about `deriv`s and `fderiv`s of `ContinuousAffineMap`s once they will be ported to
Mathlib 4.
## Keywords
affine map, derivative, differentiability
-/
variable {𝕜 : Type*} [NontriviallyNormedField 𝕜]
{E : Type*} [NormedAddCommGroup E] [NormedSpace 𝕜 E]
(f : 𝕜 →ᵃ[𝕜] E) {a b : E} {L : Filter 𝕜} {s : Set 𝕜} {x : 𝕜}
namespace AffineMap
theorem hasStrictDerivAt : HasStrictDerivAt f (f.linear 1) x := by
rw [f.decomp]
exact f.linear.hasStrictDerivAt.add_const (f 0)
| theorem hasDerivAtFilter : HasDerivAtFilter f (f.linear 1) x L := by
rw [f.decomp]
exact f.linear.hasDerivAtFilter.add_const (f 0)
| Mathlib/Analysis/Calculus/Deriv/AffineMap.lean | 36 | 38 |
/-
Copyright (c) 2021 Heather Macbeth. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Heather Macbeth, David Loeffler
-/
import Mathlib.Analysis.SpecialFunctions.ExpDeriv
import Mathlib.Analysis.SpecialFunctions.Complex.Circle
import Mathlib.Analysis.InnerProductSpace.l2Space
import Mathlib.MeasureTheory.Function.ContinuousMapDense
import Mathlib.MeasureTheory.Function.L2Space
import Mathlib.MeasureTheory.Group.Integral
import Mathlib.MeasureTheory.Integral.IntervalIntegral.Periodic
import Mathlib.Topology.ContinuousMap.StoneWeierstrass
import Mathlib.MeasureTheory.Integral.IntervalIntegral.IntegrationByParts
/-!
# Fourier analysis on the additive circle
This file contains basic results on Fourier series for functions on the additive circle
`AddCircle T = ℝ / ℤ • T`.
## Main definitions
* `haarAddCircle`, Haar measure on `AddCircle T`, normalized to have total measure `1`.
Note that this is not the same normalisation
as the standard measure defined in `IntervalIntegral.Periodic`,
so we do not declare it as a `MeasureSpace` instance, to avoid confusion.
* for `n : ℤ`, `fourier n` is the monomial `fun x => exp (2 π i n x / T)`,
bundled as a continuous map from `AddCircle T` to `ℂ`.
* `fourierBasis` is the Hilbert basis of `Lp ℂ 2 haarAddCircle` given by the images of the
monomials `fourier n`.
* `fourierCoeff f n`, for `f : AddCircle T → E` (with `E` a complete normed `ℂ`-vector space), is
the `n`-th Fourier coefficient of `f`, defined as an integral over `AddCircle T`. The lemma
`fourierCoeff_eq_intervalIntegral` expresses this as an integral over `[a, a + T]` for any real
`a`.
* `fourierCoeffOn`, for `f : ℝ → E` and `a < b` reals, is the `n`-th Fourier
coefficient of the unique periodic function of period `b - a` which agrees with `f` on `(a, b]`.
The lemma `fourierCoeffOn_eq_integral` expresses this as an integral over `[a, b]`.
## Main statements
The theorem `span_fourier_closure_eq_top` states that the span of the monomials `fourier n` is
dense in `C(AddCircle T, ℂ)`, i.e. that its `Submodule.topologicalClosure` is `⊤`. This follows
from the Stone-Weierstrass theorem after checking that the span is a subalgebra, is closed under
conjugation, and separates points.
Using this and general theory on approximation of Lᵖ functions by continuous functions, we deduce
(`span_fourierLp_closure_eq_top`) that for any `1 ≤ p < ∞`, the span of the Fourier monomials is
dense in the Lᵖ space of `AddCircle T`. For `p = 2` we show (`orthonormal_fourier`) that the
monomials are also orthonormal, so they form a Hilbert basis for L², which is named as
`fourierBasis`; in particular, for `L²` functions `f`, the Fourier series of `f` converges to `f`
in the `L²` topology (`hasSum_fourier_series_L2`). Parseval's identity, `tsum_sq_fourierCoeff`, is
a direct consequence.
For continuous maps `f : AddCircle T → ℂ`, the theorem
`hasSum_fourier_series_of_summable` states that if the sequence of Fourier
coefficients of `f` is summable, then the Fourier series `∑ (i : ℤ), fourierCoeff f i * fourier i`
converges to `f` in the uniform-convergence topology of `C(AddCircle T, ℂ)`.
-/
noncomputable section
open scoped ENNReal ComplexConjugate Real
open TopologicalSpace ContinuousMap MeasureTheory MeasureTheory.Measure Algebra Submodule Set
variable {T : ℝ}
namespace AddCircle
/-! ### Measure on `AddCircle T`
In this file we use the Haar measure on `AddCircle T` normalised to have total measure 1 (which is
**not** the same as the standard measure defined in `Topology.Instances.AddCircle`). -/
variable [hT : Fact (0 < T)]
/-- Haar measure on the additive circle, normalised to have total measure 1. -/
def haarAddCircle : Measure (AddCircle T) :=
addHaarMeasure ⊤
-- The `IsAddHaarMeasure` instance should be constructed by a deriving handler.
-- https://github.com/leanprover-community/mathlib4/issues/380
instance : IsAddHaarMeasure (@haarAddCircle T _) :=
Measure.isAddHaarMeasure_addHaarMeasure ⊤
instance : IsProbabilityMeasure (@haarAddCircle T _) :=
IsProbabilityMeasure.mk addHaarMeasure_self
theorem volume_eq_smul_haarAddCircle :
(volume : Measure (AddCircle T)) = ENNReal.ofReal T • (@haarAddCircle T _) :=
rfl
end AddCircle
open AddCircle
section Monomials
/-- The family of exponential monomials `fun x => exp (2 π i n x / T)`, parametrized by `n : ℤ` and
considered as bundled continuous maps from `ℝ / ℤ • T` to `ℂ`. -/
def fourier (n : ℤ) : C(AddCircle T, ℂ) where
toFun x := toCircle (n • x :)
continuous_toFun := continuous_induced_dom.comp <| continuous_toCircle.comp <| continuous_zsmul _
@[simp]
theorem fourier_apply {n : ℤ} {x : AddCircle T} : fourier n x = toCircle (n • x :) :=
rfl
-- simp normal form is `fourier_coe_apply'`
theorem fourier_coe_apply {n : ℤ} {x : ℝ} :
fourier n (x : AddCircle T) = Complex.exp (2 * π * Complex.I * n * x / T) := by
rw [fourier_apply, ← QuotientAddGroup.mk_zsmul, toCircle, Function.Periodic.lift_coe,
Circle.coe_exp, Complex.ofReal_mul, Complex.ofReal_div, Complex.ofReal_mul, zsmul_eq_mul,
Complex.ofReal_mul, Complex.ofReal_intCast]
norm_num
congr 1; ring
@[simp]
theorem fourier_coe_apply' {n : ℤ} {x : ℝ} :
toCircle (n • (x : AddCircle T) :) = Complex.exp (2 * π * Complex.I * n * x / T) := by
rw [← fourier_apply]; exact fourier_coe_apply
-- simp normal form is `fourier_zero'`
theorem fourier_zero {x : AddCircle T} : fourier 0 x = 1 := by
induction x using QuotientAddGroup.induction_on
simp only [fourier_coe_apply]
norm_num
theorem fourier_zero' {x : AddCircle T} : @toCircle T 0 = (1 : ℂ) := by
have : fourier 0 x = @toCircle T 0 := by rw [fourier_apply, zero_smul]
rw [← this]; exact fourier_zero
-- simp normal form is *also* `fourier_zero'`
theorem fourier_eval_zero (n : ℤ) : fourier n (0 : AddCircle T) = 1 := by
rw [← QuotientAddGroup.mk_zero, fourier_coe_apply, Complex.ofReal_zero, mul_zero,
zero_div, Complex.exp_zero]
theorem fourier_one {x : AddCircle T} : fourier 1 x = toCircle x := by rw [fourier_apply, one_zsmul]
-- simp normal form is `fourier_neg'`
theorem fourier_neg {n : ℤ} {x : AddCircle T} : fourier (-n) x = conj (fourier n x) := by
induction x using QuotientAddGroup.induction_on
simp_rw [fourier_apply, toCircle]
rw [← QuotientAddGroup.mk_zsmul, ← QuotientAddGroup.mk_zsmul]
simp_rw [Function.Periodic.lift_coe, ← Circle.coe_inv_eq_conj, ← Circle.exp_neg,
neg_smul, mul_neg]
@[simp]
theorem fourier_neg' {n : ℤ} {x : AddCircle T} : @toCircle T (-(n • x)) = conj (fourier n x) := by
rw [← neg_smul, ← fourier_apply]; exact fourier_neg
-- simp normal form is `fourier_add'`
theorem fourier_add {m n : ℤ} {x : AddCircle T} : fourier (m+n) x = fourier m x * fourier n x := by
simp_rw [fourier_apply, add_zsmul, toCircle_add, Circle.coe_mul]
@[simp]
theorem fourier_add' {m n : ℤ} {x : AddCircle T} :
toCircle ((m + n) • x :) = fourier m x * fourier n x := by
rw [← fourier_apply]; exact fourier_add
theorem fourier_norm [Fact (0 < T)] (n : ℤ) : ‖@fourier T n‖ = 1 := by
rw [ContinuousMap.norm_eq_iSup_norm]
have : ∀ x : AddCircle T, ‖fourier n x‖ = 1 := fun x => Circle.norm_coe _
simp_rw [this]
exact @ciSup_const _ _ _ Zero.instNonempty _
/-- For `n ≠ 0`, a translation by `T / 2 / n` negates the function `fourier n`. -/
theorem fourier_add_half_inv_index {n : ℤ} (hn : n ≠ 0) (hT : 0 < T) (x : AddCircle T) :
@fourier T n (x + ↑(T / 2 / n)) = -fourier n x := by
rw [fourier_apply, zsmul_add, ← QuotientAddGroup.mk_zsmul, toCircle_add,
Metric.unitSphere.coe_mul]
have : (n : ℂ) ≠ 0 := by simpa using hn
have : (@toCircle T (n • (T / 2 / n) : ℝ) : ℂ) = -1 := by
rw [zsmul_eq_mul, toCircle, Function.Periodic.lift_coe, Circle.coe_exp]
replace hT := Complex.ofReal_ne_zero.mpr hT.ne'
convert Complex.exp_pi_mul_I using 3
field_simp; ring
rw [this]; simp
/-- The star subalgebra of `C(AddCircle T, ℂ)` generated by `fourier n` for `n ∈ ℤ` . -/
def fourierSubalgebra : StarSubalgebra ℂ C(AddCircle T, ℂ) where
toSubalgebra := Algebra.adjoin ℂ (range fourier)
star_mem' := by
show Algebra.adjoin ℂ (range (fourier (T := T))) ≤
star (Algebra.adjoin ℂ (range (fourier (T := T))))
refine adjoin_le ?_
rintro - ⟨n, rfl⟩
exact subset_adjoin ⟨-n, ext fun _ => fourier_neg⟩
/-- The star subalgebra of `C(AddCircle T, ℂ)` generated by `fourier n` for `n ∈ ℤ` is in fact the
linear span of these functions. -/
theorem fourierSubalgebra_coe :
Subalgebra.toSubmodule (@fourierSubalgebra T).toSubalgebra = span ℂ (range (@fourier T)) := by
apply adjoin_eq_span_of_subset
refine Subset.trans ?_ Submodule.subset_span
intro x hx
refine Submonoid.closure_induction (fun _ => id) ⟨0, ?_⟩ ?_ hx
· ext1 z; exact fourier_zero
· rintro - - - - ⟨m, rfl⟩ ⟨n, rfl⟩
refine ⟨m + n, ?_⟩
ext1 z
exact fourier_add
/- a post-port refactor made `fourierSubalgebra` into a `StarSubalgebra`, and eliminated
`conjInvariantSubalgebra` entirely, making this lemma irrelevant. -/
variable [hT : Fact (0 < T)]
/-- The subalgebra of `C(AddCircle T, ℂ)` generated by `fourier n` for `n ∈ ℤ`
separates points. -/
theorem fourierSubalgebra_separatesPoints : (@fourierSubalgebra T).SeparatesPoints := by
intro x y hxy
refine ⟨_, ⟨fourier 1, subset_adjoin ⟨1, rfl⟩, rfl⟩, ?_⟩
dsimp only; rw [fourier_one, fourier_one]
contrapose! hxy
rw [Subtype.coe_inj] at hxy
exact injective_toCircle hT.elim.ne' hxy
/-- The subalgebra of `C(AddCircle T, ℂ)` generated by `fourier n` for `n ∈ ℤ` is dense. -/
theorem fourierSubalgebra_closure_eq_top : (@fourierSubalgebra T).topologicalClosure = ⊤ :=
ContinuousMap.starSubalgebra_topologicalClosure_eq_top_of_separatesPoints fourierSubalgebra
fourierSubalgebra_separatesPoints
/-- The linear span of the monomials `fourier n` is dense in `C(AddCircle T, ℂ)`. -/
theorem span_fourier_closure_eq_top : (span ℂ (range <| @fourier T)).topologicalClosure = ⊤ := by
rw [← fourierSubalgebra_coe]
exact congr_arg (Subalgebra.toSubmodule <| StarSubalgebra.toSubalgebra ·)
| fourierSubalgebra_closure_eq_top
/-- The family of monomials `fourier n`, parametrized by `n : ℤ` and considered as
elements of the `Lp` space of functions `AddCircle T → ℂ`. -/
abbrev fourierLp (p : ℝ≥0∞) [Fact (1 ≤ p)] (n : ℤ) : Lp ℂ p (@haarAddCircle T hT) :=
toLp (E := ℂ) p haarAddCircle ℂ (fourier n)
| Mathlib/Analysis/Fourier/AddCircle.lean | 231 | 237 |
/-
Copyright (c) 2018 Mario Carneiro. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Mario Carneiro, Johannes Hölzl
-/
import Mathlib.Data.List.Basic
/-!
# Double universal quantification on a list
This file provides an API for `List.Forall₂` (definition in `Data.List.Defs`).
`Forall₂ R l₁ l₂` means that `l₁` and `l₂` have the same length, and whenever `a` is the nth element
of `l₁`, and `b` is the nth element of `l₂`, then `R a b` is satisfied.
-/
open Nat Function
namespace List
variable {α β γ δ : Type*} {R S : α → β → Prop} {P : γ → δ → Prop} {Rₐ : α → α → Prop}
open Relator
mk_iff_of_inductive_prop List.Forall₂ List.forall₂_iff
theorem Forall₂.imp (H : ∀ a b, R a b → S a b) {l₁ l₂} (h : Forall₂ R l₁ l₂) : Forall₂ S l₁ l₂ := by
induction h <;> constructor <;> solve_by_elim
theorem Forall₂.mp {Q : α → β → Prop} (h : ∀ a b, Q a b → R a b → S a b) :
∀ {l₁ l₂}, Forall₂ Q l₁ l₂ → Forall₂ R l₁ l₂ → Forall₂ S l₁ l₂
| [], [], Forall₂.nil, Forall₂.nil => Forall₂.nil
| a :: _, b :: _, Forall₂.cons hr hrs, Forall₂.cons hq hqs =>
Forall₂.cons (h a b hr hq) (Forall₂.mp h hrs hqs)
theorem Forall₂.flip : ∀ {a b}, Forall₂ (flip R) b a → Forall₂ R a b
| _, _, Forall₂.nil => Forall₂.nil
| _ :: _, _ :: _, Forall₂.cons h₁ h₂ => Forall₂.cons h₁ h₂.flip
@[simp]
theorem forall₂_same : ∀ {l : List α}, Forall₂ Rₐ l l ↔ ∀ x ∈ l, Rₐ x x
| [] => by simp
| a :: l => by simp [@forall₂_same l]
theorem forall₂_refl [IsRefl α Rₐ] (l : List α) : Forall₂ Rₐ l l :=
forall₂_same.2 fun _ _ => refl _
@[simp]
theorem forall₂_eq_eq_eq : Forall₂ ((· = ·) : α → α → Prop) = Eq := by
funext a b; apply propext
constructor
· intro h
induction h
· rfl
simp only [*]
· rintro rfl
exact forall₂_refl _
@[simp]
theorem forall₂_nil_left_iff {l} : Forall₂ R nil l ↔ l = nil :=
⟨fun H => by cases H; rfl, by rintro rfl; exact Forall₂.nil⟩
@[simp]
theorem forall₂_nil_right_iff {l} : Forall₂ R l nil ↔ l = nil :=
⟨fun H => by cases H; rfl, by rintro rfl; exact Forall₂.nil⟩
theorem forall₂_cons_left_iff {a l u} :
Forall₂ R (a :: l) u ↔ ∃ b u', R a b ∧ Forall₂ R l u' ∧ u = b :: u' :=
Iff.intro
(fun h =>
match u, h with
| b :: u', Forall₂.cons h₁ h₂ => ⟨b, u', h₁, h₂, rfl⟩)
fun h =>
match u, h with
| _, ⟨_, _, h₁, h₂, rfl⟩ => Forall₂.cons h₁ h₂
theorem forall₂_cons_right_iff {b l u} :
Forall₂ R u (b :: l) ↔ ∃ a u', R a b ∧ Forall₂ R u' l ∧ u = a :: u' :=
Iff.intro
(fun h =>
match u, h with
| b :: u', Forall₂.cons h₁ h₂ => ⟨b, u', h₁, h₂, rfl⟩)
fun h =>
match u, h with
| _, ⟨_, _, h₁, h₂, rfl⟩ => Forall₂.cons h₁ h₂
theorem forall₂_and_left {p : α → Prop} :
∀ l u, Forall₂ (fun a b => p a ∧ R a b) l u ↔ (∀ a ∈ l, p a) ∧ Forall₂ R l u
| [], u => by
simp only [forall₂_nil_left_iff, forall_prop_of_false not_mem_nil, imp_true_iff, true_and]
| a :: l, u => by
simp only [forall₂_and_left l, forall₂_cons_left_iff, forall_mem_cons, and_assoc,
@and_comm _ (p a), @and_left_comm _ (p a), exists_and_left]
simp only [and_comm, and_assoc, and_left_comm, ← exists_and_right]
@[simp]
theorem forall₂_map_left_iff {f : γ → α} :
∀ {l u}, Forall₂ R (map f l) u ↔ Forall₂ (fun c b => R (f c) b) l u
| [], _ => by simp only [map, forall₂_nil_left_iff]
| a :: l, _ => by simp only [map, forall₂_cons_left_iff, forall₂_map_left_iff]
@[simp]
theorem forall₂_map_right_iff {f : γ → β} :
∀ {l u}, Forall₂ R l (map f u) ↔ Forall₂ (fun a c => R a (f c)) l u
| _, [] => by simp only [map, forall₂_nil_right_iff]
| _, b :: u => by simp only [map, forall₂_cons_right_iff, forall₂_map_right_iff]
theorem left_unique_forall₂' (hr : LeftUnique R) : ∀ {a b c}, Forall₂ R a c → Forall₂ R b c → a = b
| _, _, _, Forall₂.nil, Forall₂.nil => rfl
| _, _, _, Forall₂.cons ha₀ h₀, Forall₂.cons ha₁ h₁ =>
hr ha₀ ha₁ ▸ left_unique_forall₂' hr h₀ h₁ ▸ rfl
theorem _root_.Relator.LeftUnique.forall₂ (hr : LeftUnique R) : LeftUnique (Forall₂ R) :=
@left_unique_forall₂' _ _ _ hr
theorem right_unique_forall₂' (hr : RightUnique R) :
∀ {a b c}, Forall₂ R a b → Forall₂ R a c → b = c
| _, _, _, Forall₂.nil, Forall₂.nil => rfl
| _, _, _, Forall₂.cons ha₀ h₀, Forall₂.cons ha₁ h₁ =>
hr ha₀ ha₁ ▸ right_unique_forall₂' hr h₀ h₁ ▸ rfl
theorem _root_.Relator.RightUnique.forall₂ (hr : RightUnique R) : RightUnique (Forall₂ R) :=
@right_unique_forall₂' _ _ _ hr
theorem _root_.Relator.BiUnique.forall₂ (hr : BiUnique R) : BiUnique (Forall₂ R) :=
⟨hr.left.forall₂, hr.right.forall₂⟩
theorem Forall₂.length_eq : ∀ {l₁ l₂}, Forall₂ R l₁ l₂ → length l₁ = length l₂
| _, _, Forall₂.nil => rfl
| _, _, Forall₂.cons _ h₂ => congr_arg succ (Forall₂.length_eq h₂)
theorem Forall₂.get :
∀ {x : List α} {y : List β}, Forall₂ R x y →
∀ ⦃i : ℕ⦄ (hx : i < x.length) (hy : i < y.length), R (x.get ⟨i, hx⟩) (y.get ⟨i, hy⟩)
| _, _, Forall₂.cons ha _, 0, _, _ => ha
| _, _, Forall₂.cons _ hl, succ _, _, _ => hl.get _ _
theorem forall₂_of_length_eq_of_get :
∀ {x : List α} {y : List β},
x.length = y.length → (∀ i h₁ h₂, R (x.get ⟨i, h₁⟩) (y.get ⟨i, h₂⟩)) → Forall₂ R x y
| [], [], _, _ => Forall₂.nil
| _ :: _, _ :: _, hl, h =>
Forall₂.cons (h 0 (Nat.zero_lt_succ _) (Nat.zero_lt_succ _))
(forall₂_of_length_eq_of_get (succ.inj hl) fun i h₁ h₂ =>
h i.succ (succ_lt_succ h₁) (succ_lt_succ h₂))
theorem forall₂_iff_get {l₁ : List α} {l₂ : List β} :
Forall₂ R l₁ l₂ ↔ l₁.length = l₂.length ∧ ∀ i h₁ h₂, R (l₁.get ⟨i, h₁⟩) (l₂.get ⟨i, h₂⟩) :=
⟨fun h => ⟨h.length_eq, h.get⟩, fun h => forall₂_of_length_eq_of_get h.1 h.2⟩
theorem forall₂_zip : ∀ {l₁ l₂}, Forall₂ R l₁ l₂ → ∀ {a b}, (a, b) ∈ zip l₁ l₂ → R a b
| _, _, Forall₂.cons h₁ h₂, x, y, hx => by
rw [zip, zipWith, mem_cons] at hx
match hx with
| Or.inl rfl => exact h₁
| Or.inr h₃ => exact forall₂_zip h₂ h₃
theorem forall₂_iff_zip {l₁ l₂} :
Forall₂ R l₁ l₂ ↔ length l₁ = length l₂ ∧ ∀ {a b}, (a, b) ∈ zip l₁ l₂ → R a b :=
⟨fun h => ⟨Forall₂.length_eq h, @forall₂_zip _ _ _ _ _ h⟩, fun h => by
obtain ⟨h₁, h₂⟩ := h
induction l₁ generalizing l₂ with
| nil =>
cases length_eq_zero_iff.1 h₁.symm
constructor
| cons a l₁ IH =>
rcases l₂ with - | ⟨b, l₂⟩
· simp at h₁
· simp only [length_cons, succ.injEq] at h₁
exact Forall₂.cons (h₂ <| by simp [zip])
(IH h₁ fun h => h₂ <| by
simp only [zip, zipWith, find?, mem_cons, Prod.mk.injEq]; right
simpa [zip] using h)⟩
theorem forall₂_take : ∀ (n) {l₁ l₂}, Forall₂ R l₁ l₂ → Forall₂ R (take n l₁) (take n l₂)
| 0, _, _, _ => by simp only [Forall₂.nil, take]
| _ + 1, _, _, Forall₂.nil => by simp only [Forall₂.nil, take]
| n + 1, _, _, Forall₂.cons h₁ h₂ => by simp [And.intro h₁ h₂, forall₂_take n]
theorem forall₂_drop : ∀ (n) {l₁ l₂}, Forall₂ R l₁ l₂ → Forall₂ R (drop n l₁) (drop n l₂)
| 0, _, _, h => by simp only [drop, h]
| _ + 1, _, _, Forall₂.nil => by simp only [Forall₂.nil, drop]
| n + 1, _, _, Forall₂.cons h₁ h₂ => by simp [And.intro h₁ h₂, forall₂_drop n]
theorem forall₂_take_append (l : List α) (l₁ : List β) (l₂ : List β) (h : Forall₂ R l (l₁ ++ l₂)) :
Forall₂ R (List.take (length l₁) l) l₁ := by
have h' : Forall₂ R (take (length l₁) l) (take (length l₁) (l₁ ++ l₂)) :=
forall₂_take (length l₁) h
rwa [take_left] at h'
theorem forall₂_drop_append (l : List α) (l₁ : List β) (l₂ : List β) (h : Forall₂ R l (l₁ ++ l₂)) :
Forall₂ R (List.drop (length l₁) l) l₂ := by
have h' : Forall₂ R (drop (length l₁) l) (drop (length l₁) (l₁ ++ l₂)) :=
forall₂_drop (length l₁) h
rwa [drop_left] at h'
theorem rel_mem (hr : BiUnique R) : (R ⇒ Forall₂ R ⇒ Iff) (· ∈ ·) (· ∈ ·)
| a, b, _, [], [], Forall₂.nil => by simp only [not_mem_nil]
| a, b, h, a' :: as, b' :: bs, Forall₂.cons h₁ h₂ => by
simp only [mem_cons]
exact rel_or (rel_eq hr h h₁) (rel_mem hr h h₂)
theorem rel_map : ((R ⇒ P) ⇒ Forall₂ R ⇒ Forall₂ P) map map
| _, _, _, [], [], Forall₂.nil => Forall₂.nil
| _, _, h, _ :: _, _ :: _, Forall₂.cons h₁ h₂ => Forall₂.cons (h h₁) (rel_map (@h) h₂)
theorem rel_append : (Forall₂ R ⇒ Forall₂ R ⇒ Forall₂ R) (· ++ ·) (· ++ ·)
| [], [], _, _, _, hl => hl
| _, _, Forall₂.cons h₁ h₂, _, _, hl => Forall₂.cons h₁ (rel_append h₂ hl)
theorem rel_reverse : (Forall₂ R ⇒ Forall₂ R) reverse reverse
| [], [], Forall₂.nil => Forall₂.nil
| _, _, Forall₂.cons h₁ h₂ => by
simp only [reverse_cons]
exact rel_append (rel_reverse h₂) (Forall₂.cons h₁ Forall₂.nil)
@[simp]
theorem forall₂_reverse_iff {l₁ l₂} : Forall₂ R (reverse l₁) (reverse l₂) ↔ Forall₂ R l₁ l₂ :=
Iff.intro
(fun h => by
rw [← reverse_reverse l₁, ← reverse_reverse l₂]
exact rel_reverse h)
fun h => rel_reverse h
| theorem rel_flatten : (Forall₂ (Forall₂ R) ⇒ Forall₂ R) flatten flatten
| [], [], Forall₂.nil => Forall₂.nil
| _, _, Forall₂.cons h₁ h₂ => rel_append h₁ (rel_flatten h₂)
| Mathlib/Data/List/Forall2.lean | 225 | 228 |
/-
Copyright (c) 2023 Kyle Miller. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Kyle Miller
-/
import Mathlib.Data.Nat.Choose.Basic
import Mathlib.Data.Sym.Sym2
/-! # Unordered tuples of elements of a list
Defines `List.sym` and the specialized `List.sym2` for computing lists of all unordered n-tuples
from a given list. These are list versions of `Nat.multichoose`.
## Main declarations
* `List.sym`: `xs.sym n` is a list of all unordered n-tuples of elements from `xs`,
with multiplicity. The list's values are in `Sym α n`.
* `List.sym2`: `xs.sym2` is a list of all unordered pairs of elements from `xs`,
with multiplicity. The list's values are in `Sym2 α`.
## TODO
* Prove `protected theorem Perm.sym (n : ℕ) {xs ys : List α} (h : xs ~ ys) : xs.sym n ~ ys.sym n`
and lift the result to `Multiset` and `Finset`.
-/
namespace List
variable {α β : Type*}
section Sym2
/-- `xs.sym2` is a list of all unordered pairs of elements from `xs`.
If `xs` has no duplicates then neither does `xs.sym2`. -/
protected def sym2 : List α → List (Sym2 α)
| [] => []
| x :: xs => (x :: xs).map (fun y => s(x, y)) ++ xs.sym2
theorem sym2_map (f : α → β) (xs : List α) :
(xs.map f).sym2 = xs.sym2.map (Sym2.map f) := by
induction xs with
| nil => simp [List.sym2]
| cons x xs ih => simp [List.sym2, ih, Function.comp]
theorem mem_sym2_cons_iff {x : α} {xs : List α} {z : Sym2 α} :
z ∈ (x :: xs).sym2 ↔ z = s(x, x) ∨ (∃ y, y ∈ xs ∧ z = s(x, y)) ∨ z ∈ xs.sym2 := by
simp only [List.sym2, map_cons, cons_append, mem_cons, mem_append, mem_map]
simp only [eq_comm]
@[simp]
theorem sym2_eq_nil_iff {xs : List α} : xs.sym2 = [] ↔ xs = [] := by
cases xs <;> simp [List.sym2]
theorem left_mem_of_mk_mem_sym2 {xs : List α} {a b : α}
(h : s(a, b) ∈ xs.sym2) : a ∈ xs := by
induction xs with
| nil => exact (not_mem_nil h).elim
| cons x xs ih =>
rw [mem_cons]
rw [mem_sym2_cons_iff] at h
obtain (h | ⟨c, hc, h⟩ | h) := h
· rw [Sym2.eq_iff, ← and_or_left] at h
exact .inl h.1
· rw [Sym2.eq_iff] at h
obtain (⟨rfl, rfl⟩ | ⟨rfl, rfl⟩) := h <;> simp [hc]
· exact .inr <| ih h
theorem right_mem_of_mk_mem_sym2 {xs : List α} {a b : α}
(h : s(a, b) ∈ xs.sym2) : b ∈ xs := by
rw [Sym2.eq_swap] at h
exact left_mem_of_mk_mem_sym2 h
theorem mk_mem_sym2 {xs : List α} {a b : α} (ha : a ∈ xs) (hb : b ∈ xs) :
s(a, b) ∈ xs.sym2 := by
induction xs with
| nil => simp at ha
| cons x xs ih =>
rw [mem_sym2_cons_iff]
rw [mem_cons] at ha hb
obtain (rfl | ha) := ha <;> obtain (rfl | hb) := hb
· left; rfl
· right; left; use b
· right; left; rw [Sym2.eq_swap]; use a
· right; right; exact ih ha hb
theorem mk_mem_sym2_iff {xs : List α} {a b : α} :
s(a, b) ∈ xs.sym2 ↔ a ∈ xs ∧ b ∈ xs := by
constructor
· intro h
exact ⟨left_mem_of_mk_mem_sym2 h, right_mem_of_mk_mem_sym2 h⟩
· rintro ⟨ha, hb⟩
exact mk_mem_sym2 ha hb
theorem mem_sym2_iff {xs : List α} {z : Sym2 α} :
z ∈ xs.sym2 ↔ ∀ y ∈ z, y ∈ xs := by
refine z.ind (fun a b => ?_)
simp [mk_mem_sym2_iff]
protected theorem Nodup.sym2 {xs : List α} (h : xs.Nodup) : xs.sym2.Nodup := by
induction xs with
| nil => simp only [List.sym2, nodup_nil]
| cons x xs ih =>
rw [List.sym2]
specialize ih h.of_cons
rw [nodup_cons] at h
refine Nodup.append (Nodup.cons ?notmem (h.2.map ?inj)) ih ?disj
case disj =>
intro z hz hz'
simp only [mem_cons, mem_map] at hz
obtain ⟨_, (rfl | _), rfl⟩ := hz
<;> simp [left_mem_of_mk_mem_sym2 hz'] at h
case notmem =>
intro h'
simp only [h.1, mem_map, Sym2.eq_iff, true_and, or_self, exists_eq_right] at h'
case inj =>
intro a b
simp only [Sym2.eq_iff, true_and]
rintro (rfl | ⟨rfl, rfl⟩) <;> rfl
theorem map_mk_sublist_sym2 (x : α) (xs : List α) (h : x ∈ xs) :
map (fun y ↦ s(x, y)) xs <+ xs.sym2 := by
induction xs with
| nil => simp
| cons x' xs ih =>
simp only [map_cons, List.sym2, cons_append]
cases h with
| head =>
exact (sublist_append_left _ _).cons₂ _
| tail _ h =>
refine .cons _ ?_
rw [← singleton_append]
refine .append ?_ (ih h)
rw [singleton_sublist, mem_map]
exact ⟨_, h, Sym2.eq_swap⟩
theorem map_mk_disjoint_sym2 (x : α) (xs : List α) (h : x ∉ xs) :
(map (fun y ↦ s(x, y)) xs).Disjoint xs.sym2 := by
induction xs with
| nil => simp
| cons x' xs ih =>
simp only [mem_cons, not_or] at h
rw [List.sym2, map_cons, map_cons, disjoint_cons_left, disjoint_append_right,
disjoint_cons_right]
refine ⟨?_, ⟨?_, ?_⟩, ?_⟩
· refine not_mem_cons_of_ne_of_not_mem ?_ (not_mem_append ?_ ?_)
· simp [h.1]
· simp_rw [mem_map, not_exists, not_and]
intro x'' hx
simp_rw [Sym2.mk_eq_mk_iff, Prod.swap_prod_mk, Prod.mk.injEq, true_and]
rintro (⟨rfl, rfl⟩ | rfl)
· exact h.2 hx
· exact h.2 hx
· simp [mk_mem_sym2_iff, h.2]
· simp [h.1]
· intro z hx hy
rw [List.mem_map] at hx hy
obtain ⟨a, hx, rfl⟩ := hx
obtain ⟨b, hy, hx⟩ := hy
simp [Sym2.mk_eq_mk_iff, Ne.symm h.1] at hx
obtain ⟨rfl, rfl⟩ := hx
exact h.2 hy
· exact ih h.2
theorem dedup_sym2 [DecidableEq α] (xs : List α) : xs.sym2.dedup = xs.dedup.sym2 := by
induction xs with
| nil => simp only [List.sym2, dedup_nil]
| cons x xs ih =>
simp only [List.sym2, map_cons, cons_append]
obtain hm | hm := Decidable.em (x ∈ xs)
· rw [dedup_cons_of_mem hm, ← ih, dedup_cons_of_mem,
List.Subset.dedup_append_right (map_mk_sublist_sym2 _ _ hm).subset]
refine mem_append_left _ ?_
rw [mem_map]
exact ⟨_, hm, Sym2.eq_swap⟩
· rw [dedup_cons_of_not_mem hm, List.sym2, map_cons, ← ih, dedup_cons_of_not_mem, cons_append,
List.Disjoint.dedup_append, dedup_map_of_injective]
· exact (Sym2.mkEmbedding _).injective
· exact map_mk_disjoint_sym2 x xs hm
· simp [hm, mem_sym2_iff]
protected theorem Perm.sym2 {xs ys : List α} (h : xs ~ ys) :
xs.sym2 ~ ys.sym2 := by
induction h with
| nil => rfl
| cons x h ih =>
simp only [List.sym2, map_cons, cons_append, perm_cons]
exact (h.map _).append ih
| swap x y xs =>
| simp only [List.sym2, map_cons, cons_append]
conv => enter [1,2,1]; rw [Sym2.eq_swap]
-- Explicit permutation to speed up simps that follow.
refine Perm.trans (Perm.swap ..) (Perm.trans (Perm.cons _ ?_) (Perm.swap ..))
simp only [← Multiset.coe_eq_coe, ← Multiset.cons_coe,
← Multiset.coe_add, ← Multiset.singleton_add]
simp only [add_assoc, add_left_comm]
| trans _ _ ih1 ih2 => exact ih1.trans ih2
protected theorem Sublist.sym2 {xs ys : List α} (h : xs <+ ys) : xs.sym2 <+ ys.sym2 := by
induction h with
| slnil => apply slnil
| cons a h ih =>
| Mathlib/Data/List/Sym.lean | 190 | 202 |
/-
Copyright (c) 2018 Mario Carneiro. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Mario Carneiro, Kevin Kappelmann
-/
import Mathlib.Algebra.Order.Floor.Defs
import Mathlib.Algebra.Order.Floor.Ring
import Mathlib.Algebra.Order.Floor.Semiring
deprecated_module (since := "2025-04-13")
| Mathlib/Algebra/Order/Floor.lean | 1,086 | 1,094 | |
/-
Copyright (c) 2018 Kim Morrison. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Kim Morrison, Mario Carneiro, Reid Barton, Andrew Yang
-/
import Mathlib.Topology.Category.TopCat.Opens
import Mathlib.CategoryTheory.Adjunction.Unique
import Mathlib.CategoryTheory.Functor.KanExtension.Adjunction
import Mathlib.Topology.Sheaves.Init
import Mathlib.Data.Set.Subsingleton
/-!
# Presheaves on a topological space
We define `TopCat.Presheaf C X` simply as `(TopologicalSpace.Opens X)ᵒᵖ ⥤ C`,
and inherit the category structure with natural transformations as morphisms.
We define
* Given `{X Y : TopCat.{w}}` and `f : X ⟶ Y`, we define
`TopCat.Presheaf.pushforward C f : X.Presheaf C ⥤ Y.Presheaf C`,
with notation `f _* ℱ` for `ℱ : X.Presheaf C`.
and for `ℱ : X.Presheaf C` provide the natural isomorphisms
* `TopCat.Presheaf.Pushforward.id : (𝟙 X) _* ℱ ≅ ℱ`
* `TopCat.Presheaf.Pushforward.comp : (f ≫ g) _* ℱ ≅ g _* (f _* ℱ)`
along with their `@[simp]` lemmas.
We also define the functors `pullback C f : Y.Presheaf C ⥤ X.Presheaf c`,
and provide their adjunction at
`TopCat.Presheaf.pushforwardPullbackAdjunction`.
-/
universe w v u
open CategoryTheory TopologicalSpace Opposite
variable (C : Type u) [Category.{v} C]
namespace TopCat
/-- The category of `C`-valued presheaves on a (bundled) topological space `X`. -/
def Presheaf (X : TopCat.{w}) : Type max u v w :=
(Opens X)ᵒᵖ ⥤ C
instance (X : TopCat.{w}) : Category (Presheaf.{w, v, u} C X) :=
inferInstanceAs (Category ((Opens X)ᵒᵖ ⥤ C : Type max u v w))
variable {C}
namespace Presheaf
@[simp] theorem comp_app {X : TopCat} {U : (Opens X)ᵒᵖ} {P Q R : Presheaf C X}
(f : P ⟶ Q) (g : Q ⟶ R) :
(f ≫ g).app U = f.app U ≫ g.app U := rfl
@[ext]
lemma ext {X : TopCat} {P Q : Presheaf C X} {f g : P ⟶ Q}
(w : ∀ U : Opens X, f.app (op U) = g.app (op U)) :
f = g := by
apply NatTrans.ext
ext U
induction U with | _ U => ?_
apply w
/-- attribute `sheaf_restrict` to mark lemmas related to restricting sheaves -/
macro "sheaf_restrict" : attr =>
`(attr|aesop safe 50 apply (rule_sets := [$(Lean.mkIdent `Restrict):ident]))
attribute [sheaf_restrict] bot_le le_top le_refl inf_le_left inf_le_right
le_sup_left le_sup_right
/-- `restrict_tac` solves relations among subsets (copied from `aesop cat`) -/
macro (name := restrict_tac) "restrict_tac" c:Aesop.tactic_clause* : tactic =>
`(tactic| first | assumption |
aesop $c*
(config := { terminal := true
assumptionTransparency := .reducible
enableSimp := false })
(rule_sets := [-default, -builtin, $(Lean.mkIdent `Restrict):ident]))
/-- `restrict_tac?` passes along `Try this` from `aesop` -/
macro (name := restrict_tac?) "restrict_tac?" c:Aesop.tactic_clause* : tactic =>
`(tactic|
aesop? $c*
(config := { terminal := true
assumptionTransparency := .reducible
enableSimp := false
maxRuleApplications := 300 })
(rule_sets := [-default, -builtin, $(Lean.mkIdent `Restrict):ident]))
attribute[aesop 10% (rule_sets := [Restrict])] le_trans
attribute[aesop safe destruct (rule_sets := [Restrict])] Eq.trans_le
attribute[aesop safe -50 (rule_sets := [Restrict])] Aesop.BuiltinRules.assumption
example {X} [CompleteLattice X] (v : Nat → X) (w x y z : X) (e : v 0 = v 1) (_ : v 1 = v 2)
(h₀ : v 1 ≤ x) (_ : x ≤ z ⊓ w) (h₂ : x ≤ y ⊓ z) : v 0 ≤ y := by
restrict_tac
variable {X : TopCat} {C : Type*} [Category C] {FC : C → C → Type*} {CC : C → Type*}
variable [∀ X Y, FunLike (FC X Y) (CC X) (CC Y)] [ConcreteCategory C FC]
/-- The restriction of a section along an inclusion of open sets.
For `x : F.obj (op V)`, we provide the notation `x |_ₕ i` (`h` stands for `hom`) for `i : U ⟶ V`,
and the notation `x |_ₗ U ⟪i⟫` (`l` stands for `le`) for `i : U ≤ V`.
-/
def restrict {F : X.Presheaf C}
{V : Opens X} (x : ToType (F.obj (op V))) {U : Opens X} (h : U ⟶ V) : ToType (F.obj (op U)) :=
F.map h.op x
/-- restriction of a section along an inclusion -/
scoped[AlgebraicGeometry] infixl:80 " |_ₕ " => TopCat.Presheaf.restrict
/-- restriction of a section along a subset relation -/
scoped[AlgebraicGeometry] notation:80 x " |_ₗ " U " ⟪" e "⟫ " =>
@TopCat.Presheaf.restrict _ _ _ _ _ _ _ _ _ x U (@homOfLE (Opens _) _ U _ e)
open AlgebraicGeometry
/-- The restriction of a section along an inclusion of open sets.
For `x : F.obj (op V)`, we provide the notation `x |_ U`, where the proof `U ≤ V` is inferred by
the tactic `Top.presheaf.restrict_tac'` -/
abbrev restrictOpen {F : X.Presheaf C}
{V : Opens X} (x : ToType (F.obj (op V))) (U : Opens X)
(e : U ≤ V := by restrict_tac) :
ToType (F.obj (op U)) :=
x |_ₗ U ⟪e⟫
/-- restriction of a section to open subset -/
scoped[AlgebraicGeometry] infixl:80 " |_ " => TopCat.Presheaf.restrictOpen
theorem restrict_restrict
{F : X.Presheaf C} {U V W : Opens X} (e₁ : U ≤ V) (e₂ : V ≤ W) (x : ToType (F.obj (op W))) :
x |_ V |_ U = x |_ U := by
delta restrictOpen restrict
rw [← ConcreteCategory.comp_apply, ← Functor.map_comp]
rfl
theorem map_restrict
{F G : X.Presheaf C} (e : F ⟶ G) {U V : Opens X} (h : U ≤ V) (x : ToType (F.obj (op V))) :
e.app _ (x |_ U) = e.app _ x |_ U := by
delta restrictOpen restrict
rw [← ConcreteCategory.comp_apply, NatTrans.naturality, ConcreteCategory.comp_apply]
open CategoryTheory.Limits
variable (C)
/-- The pushforward functor. -/
@[simps!]
def pushforward {X Y : TopCat.{w}} (f : X ⟶ Y) : X.Presheaf C ⥤ Y.Presheaf C :=
(whiskeringLeft _ _ _).obj (Opens.map f).op
/-- push forward of a presheaf -/
scoped[AlgebraicGeometry] notation f:80 " _* " P:81 =>
Prefunctor.obj (Functor.toPrefunctor (TopCat.Presheaf.pushforward _ f)) P
@[simp]
theorem pushforward_map_app' {X Y : TopCat.{w}} (f : X ⟶ Y) {ℱ 𝒢 : X.Presheaf C} (α : ℱ ⟶ 𝒢)
{U : (Opens Y)ᵒᵖ} : ((pushforward C f).map α).app U = α.app (op <| (Opens.map f).obj U.unop) :=
rfl
lemma id_pushforward (X : TopCat.{w}) : pushforward C (𝟙 X) = 𝟭 (X.Presheaf C) := rfl
variable {C}
namespace Pushforward
/-- The natural isomorphism between the pushforward of a presheaf along the identity continuous map
and the original presheaf. -/
def id {X : TopCat.{w}} (ℱ : X.Presheaf C) : 𝟙 X _* ℱ ≅ ℱ := Iso.refl _
@[simp]
theorem id_hom_app {X : TopCat.{w}} (ℱ : X.Presheaf C) (U) : (id ℱ).hom.app U = 𝟙 _ := rfl
@[simp]
theorem id_inv_app {X : TopCat.{w}} (ℱ : X.Presheaf C) (U) :
(id ℱ).inv.app U = 𝟙 _ := rfl
theorem id_eq {X : TopCat.{w}} (ℱ : X.Presheaf C) : 𝟙 X _* ℱ = ℱ := rfl
/-- The natural isomorphism between
the pushforward of a presheaf along the composition of two continuous maps and
the corresponding pushforward of a pushforward. -/
def comp {X Y Z : TopCat.{w}} (f : X ⟶ Y) (g : Y ⟶ Z) (ℱ : X.Presheaf C) :
(f ≫ g) _* ℱ ≅ g _* (f _* ℱ) := Iso.refl _
theorem comp_eq {X Y Z : TopCat.{w}} (f : X ⟶ Y) (g : Y ⟶ Z) (ℱ : X.Presheaf C) :
(f ≫ g) _* ℱ = g _* (f _* ℱ) :=
rfl
@[simp]
theorem comp_hom_app {X Y Z : TopCat.{w}} (f : X ⟶ Y) (g : Y ⟶ Z) (ℱ : X.Presheaf C) (U) :
(comp f g ℱ).hom.app U = 𝟙 _ := rfl
@[simp]
theorem comp_inv_app {X Y Z : TopCat.{w}} (f : X ⟶ Y) (g : Y ⟶ Z) (ℱ : X.Presheaf C) (U) :
(comp f g ℱ).inv.app U = 𝟙 _ := rfl
end Pushforward
/--
An equality of continuous maps induces a natural isomorphism between the pushforwards of a presheaf
along those maps.
-/
def pushforwardEq {X Y : TopCat.{w}} {f g : X ⟶ Y} (h : f = g) (ℱ : X.Presheaf C) :
f _* ℱ ≅ g _* ℱ :=
isoWhiskerRight (NatIso.op (Opens.mapIso f g h).symm) ℱ
theorem pushforward_eq' {X Y : TopCat.{w}} {f g : X ⟶ Y} (h : f = g) (ℱ : X.Presheaf C) :
f _* ℱ = g _* ℱ := by rw [h]
@[simp]
theorem pushforwardEq_hom_app {X Y : TopCat.{w}} {f g : X ⟶ Y}
(h : f = g) (ℱ : X.Presheaf C) (U) :
(pushforwardEq h ℱ).hom.app U = ℱ.map (eqToHom (by aesop_cat)) := by
simp [pushforwardEq]
variable (C)
section Iso
/-- A homeomorphism of spaces gives an equivalence of categories of presheaves. -/
@[simps!]
def presheafEquivOfIso {X Y : TopCat} (H : X ≅ Y) : X.Presheaf C ≌ Y.Presheaf C :=
Equivalence.congrLeft (Opens.mapMapIso H).symm.op
variable {C}
/-- If `H : X ≅ Y` is a homeomorphism,
then given an `H _* ℱ ⟶ 𝒢`, we may obtain an `ℱ ⟶ H ⁻¹ _* 𝒢`.
-/
def toPushforwardOfIso {X Y : TopCat} (H : X ≅ Y) {ℱ : X.Presheaf C} {𝒢 : Y.Presheaf C}
(α : H.hom _* ℱ ⟶ 𝒢) : ℱ ⟶ H.inv _* 𝒢 :=
(presheafEquivOfIso _ H).toAdjunction.homEquiv ℱ 𝒢 α
@[simp]
theorem toPushforwardOfIso_app {X Y : TopCat} (H₁ : X ≅ Y) {ℱ : X.Presheaf C} {𝒢 : Y.Presheaf C}
(H₂ : H₁.hom _* ℱ ⟶ 𝒢) (U : (Opens X)ᵒᵖ) :
(toPushforwardOfIso H₁ H₂).app U =
ℱ.map (eqToHom (by simp [Opens.map, Set.preimage_preimage])) ≫
H₂.app (op ((Opens.map H₁.inv).obj (unop U))) := by
simp [toPushforwardOfIso, Adjunction.homEquiv_unit]
/-- If `H : X ≅ Y` is a homeomorphism,
then given an `H _* ℱ ⟶ 𝒢`, we may obtain an `ℱ ⟶ H ⁻¹ _* 𝒢`.
-/
def pushforwardToOfIso {X Y : TopCat} (H₁ : X ≅ Y) {ℱ : Y.Presheaf C} {𝒢 : X.Presheaf C}
(H₂ : ℱ ⟶ H₁.hom _* 𝒢) : H₁.inv _* ℱ ⟶ 𝒢 :=
((presheafEquivOfIso _ H₁.symm).toAdjunction.homEquiv ℱ 𝒢).symm H₂
@[simp]
theorem pushforwardToOfIso_app {X Y : TopCat} (H₁ : X ≅ Y) {ℱ : Y.Presheaf C} {𝒢 : X.Presheaf C}
(H₂ : ℱ ⟶ H₁.hom _* 𝒢) (U : (Opens X)ᵒᵖ) :
(pushforwardToOfIso H₁ H₂).app U =
H₂.app (op ((Opens.map H₁.inv).obj (unop U))) ≫
𝒢.map (eqToHom (by simp [Opens.map, Set.preimage_preimage])) := by
simp [pushforwardToOfIso, Equivalence.toAdjunction, Adjunction.homEquiv_counit]
end Iso
variable [HasColimits C]
| noncomputable section
/-- Pullback a presheaf on `Y` along a continuous map `f : X ⟶ Y`, obtaining a presheaf
on `X`. -/
| Mathlib/Topology/Sheaves/Presheaf.lean | 261 | 264 |
/-
Copyright (c) 2022 Andrew Yang. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Andrew Yang
-/
import Mathlib.RingTheory.PrincipalIdealDomain
/-!
# Bézout rings
A Bézout ring (Bezout ring) is a ring whose finitely generated ideals are principal.
Notable examples include principal ideal rings, valuation rings, and the ring of algebraic integers.
## Main results
- `IsBezout.iff_span_pair_isPrincipal`: It suffices to verify every `span {x, y}` is principal.
- `IsBezout.TFAE`: For a Bézout domain, noetherian ↔ PID ↔ UFD ↔ ACCP
-/
universe u v
variable {R : Type u} [CommRing R]
namespace IsBezout
theorem iff_span_pair_isPrincipal :
IsBezout R ↔ ∀ x y : R, (Ideal.span {x, y} : Ideal R).IsPrincipal := by
| classical
constructor
· intro H x y; infer_instance
· intro H
constructor
apply Submodule.fg_induction
· exact fun _ => ⟨⟨_, rfl⟩⟩
· rintro _ _ ⟨⟨x, rfl⟩⟩ ⟨⟨y, rfl⟩⟩; rw [← Submodule.span_insert]; exact H _ _
theorem _root_.Function.Surjective.isBezout {S : Type v} [CommRing S] (f : R →+* S)
| Mathlib/RingTheory/Bezout.lean | 30 | 39 |
/-
Copyright (c) 2020 Kim Morrison. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Johan Commelin, Kim Morrison
-/
import Mathlib.Algebra.Category.Ring.Colimits
import Mathlib.Algebra.Category.Ring.Instances
import Mathlib.Algebra.Category.Ring.Limits
import Mathlib.Algebra.Ring.Subring.Basic
import Mathlib.RingTheory.Localization.AtPrime
import Mathlib.RingTheory.Spectrum.Prime.Topology
import Mathlib.Topology.Sheaves.LocalPredicate
/-!
# The structure sheaf on `PrimeSpectrum R`.
We define the structure sheaf on `TopCat.of (PrimeSpectrum R)`, for a commutative ring `R` and prove
basic properties about it. We define this as a subsheaf of the sheaf of dependent functions into the
localizations, cut out by the condition that the function must be locally equal to a ratio of
elements of `R`.
Because the condition "is equal to a fraction" passes to smaller open subsets,
the subset of functions satisfying this condition is automatically a subpresheaf.
Because the condition "is locally equal to a fraction" is local,
it is also a subsheaf.
(It may be helpful to refer back to `Mathlib/Topology/Sheaves/SheafOfFunctions.lean`,
where we show that dependent functions into any type family form a sheaf,
and also `Mathlib/Topology/Sheaves/LocalPredicate.lean`, where we characterise the predicates
which pick out sub-presheaves and sub-sheaves of these sheaves.)
We also set up the ring structure, obtaining
`structureSheaf : Sheaf CommRingCat (PrimeSpectrum.Top R)`.
We then construct two basic isomorphisms, relating the structure sheaf to the underlying ring `R`.
First, `StructureSheaf.stalkIso` gives an isomorphism between the stalk of the structure sheaf
at a point `p` and the localization of `R` at the prime ideal `p`. Second,
`StructureSheaf.basicOpenIso` gives an isomorphism between the structure sheaf on `basicOpen f`
and the localization of `R` at the submonoid of powers of `f`.
## References
* [Robin Hartshorne, *Algebraic Geometry*][Har77]
-/
universe u
noncomputable section
variable (R : Type u) [CommRing R]
open TopCat
open TopologicalSpace
open CategoryTheory
open Opposite
namespace AlgebraicGeometry
/-- The prime spectrum, just as a topological space.
-/
def PrimeSpectrum.Top : TopCat :=
TopCat.of (PrimeSpectrum R)
namespace StructureSheaf
/-- The type family over `PrimeSpectrum R` consisting of the localization over each point.
-/
def Localizations (P : PrimeSpectrum.Top R) : Type u :=
Localization.AtPrime P.asIdeal
instance commRingLocalizations (P : PrimeSpectrum.Top R) : CommRing <| Localizations R P :=
inferInstanceAs <| CommRing <| Localization.AtPrime P.asIdeal
instance localRingLocalizations (P : PrimeSpectrum.Top R) : IsLocalRing <| Localizations R P :=
inferInstanceAs <| IsLocalRing <| Localization.AtPrime P.asIdeal
instance (P : PrimeSpectrum.Top R) : Inhabited (Localizations R P) :=
⟨1⟩
instance (U : Opens (PrimeSpectrum.Top R)) (x : U) : Algebra R (Localizations R x) :=
inferInstanceAs <| Algebra R (Localization.AtPrime x.1.asIdeal)
instance (U : Opens (PrimeSpectrum.Top R)) (x : U) :
IsLocalization.AtPrime (Localizations R x) (x : PrimeSpectrum.Top R).asIdeal :=
Localization.isLocalization
variable {R}
/-- The predicate saying that a dependent function on an open `U` is realised as a fixed fraction
`r / s` in each of the stalks (which are localizations at various prime ideals).
-/
def IsFraction {U : Opens (PrimeSpectrum.Top R)} (f : ∀ x : U, Localizations R x) : Prop :=
∃ r s : R, ∀ x : U, ¬s ∈ x.1.asIdeal ∧ f x * algebraMap _ _ s = algebraMap _ _ r
theorem IsFraction.eq_mk' {U : Opens (PrimeSpectrum.Top R)} {f : ∀ x : U, Localizations R x}
(hf : IsFraction f) :
∃ r s : R,
∀ x : U,
∃ hs : s ∉ x.1.asIdeal,
f x =
IsLocalization.mk' (Localization.AtPrime _) r
(⟨s, hs⟩ : (x : PrimeSpectrum.Top R).asIdeal.primeCompl) := by
rcases hf with ⟨r, s, h⟩
refine ⟨r, s, fun x => ⟨(h x).1, (IsLocalization.mk'_eq_iff_eq_mul.mpr ?_).symm⟩⟩
exact (h x).2.symm
variable (R)
/-- The predicate `IsFraction` is "prelocal",
in the sense that if it holds on `U` it holds on any open subset `V` of `U`.
-/
def isFractionPrelocal : PrelocalPredicate (Localizations R) where
pred {_} f := IsFraction f
res := by rintro V U i f ⟨r, s, w⟩; exact ⟨r, s, fun x => w (i x)⟩
/-- We will define the structure sheaf as
the subsheaf of all dependent functions in `Π x : U, Localizations R x`
consisting of those functions which can locally be expressed as a ratio of
(the images in the localization of) elements of `R`.
Quoting Hartshorne:
For an open set $U ⊆ Spec A$, we define $𝒪(U)$ to be the set of functions
$s : U → ⨆_{𝔭 ∈ U} A_𝔭$, such that $s(𝔭) ∈ A_𝔭$ for each $𝔭$,
and such that $s$ is locally a quotient of elements of $A$:
to be precise, we require that for each $𝔭 ∈ U$, there is a neighborhood $V$ of $𝔭$,
contained in $U$, and elements $a, f ∈ A$, such that for each $𝔮 ∈ V, f ∉ 𝔮$,
and $s(𝔮) = a/f$ in $A_𝔮$.
Now Hartshorne had the disadvantage of not knowing about dependent functions,
so we replace his circumlocution about functions into a disjoint union with
`Π x : U, Localizations x`.
-/
def isLocallyFraction : LocalPredicate (Localizations R) :=
(isFractionPrelocal R).sheafify
@[simp]
theorem isLocallyFraction_pred {U : Opens (PrimeSpectrum.Top R)} (f : ∀ x : U, Localizations R x) :
(isLocallyFraction R).pred f =
∀ x : U,
∃ (V : _) (_ : x.1 ∈ V) (i : V ⟶ U),
∃ r s : R,
∀ y : V, ¬s ∈ y.1.asIdeal ∧ f (i y : U) * algebraMap _ _ s = algebraMap _ _ r :=
rfl
/-- The functions satisfying `isLocallyFraction` form a subring.
-/
def sectionsSubring (U : (Opens (PrimeSpectrum.Top R))ᵒᵖ) :
Subring (∀ x : U.unop, Localizations R x) where
carrier := { f | (isLocallyFraction R).pred f }
zero_mem' := by
refine fun x => ⟨unop U, x.2, 𝟙 _, 0, 1, fun y => ⟨?_, ?_⟩⟩
· rw [← Ideal.ne_top_iff_one]; exact y.1.isPrime.1
· simp
one_mem' := by
refine fun x => ⟨unop U, x.2, 𝟙 _, 1, 1, fun y => ⟨?_, ?_⟩⟩
· rw [← Ideal.ne_top_iff_one]; exact y.1.isPrime.1
· simp
add_mem' := by
intro a b ha hb x
rcases ha x with ⟨Va, ma, ia, ra, sa, wa⟩
rcases hb x with ⟨Vb, mb, ib, rb, sb, wb⟩
refine ⟨Va ⊓ Vb, ⟨ma, mb⟩, Opens.infLELeft _ _ ≫ ia, ra * sb + rb * sa, sa * sb, ?_⟩
intro ⟨y, hy⟩
rcases wa (Opens.infLELeft _ _ ⟨y, hy⟩) with ⟨nma, wa⟩
rcases wb (Opens.infLERight _ _ ⟨y, hy⟩) with ⟨nmb, wb⟩
fconstructor
· intro H; cases y.isPrime.mem_or_mem H <;> contradiction
· simp only [Opens.apply_mk, Pi.add_apply, RingHom.map_mul, add_mul, RingHom.map_add] at wa wb ⊢
rw [← wa, ← wb]
simp only [mul_assoc]
congr 2
rw [mul_comm]
neg_mem' := by
intro a ha x
rcases ha x with ⟨V, m, i, r, s, w⟩
refine ⟨V, m, i, -r, s, ?_⟩
intro y
rcases w y with ⟨nm, w⟩
fconstructor
· exact nm
· simp only [RingHom.map_neg, Pi.neg_apply]
rw [← w]
simp only [neg_mul]
mul_mem' := by
intro a b ha hb x
rcases ha x with ⟨Va, ma, ia, ra, sa, wa⟩
rcases hb x with ⟨Vb, mb, ib, rb, sb, wb⟩
refine ⟨Va ⊓ Vb, ⟨ma, mb⟩, Opens.infLELeft _ _ ≫ ia, ra * rb, sa * sb, ?_⟩
intro ⟨y, hy⟩
rcases wa (Opens.infLELeft _ _ ⟨y, hy⟩) with ⟨nma, wa⟩
rcases wb (Opens.infLERight _ _ ⟨y, hy⟩) with ⟨nmb, wb⟩
fconstructor
· intro H; cases y.isPrime.mem_or_mem H <;> contradiction
· simp only [Opens.apply_mk, Pi.mul_apply, RingHom.map_mul] at wa wb ⊢
rw [← wa, ← wb]
simp only [mul_left_comm, mul_assoc, mul_comm]
end StructureSheaf
open StructureSheaf
/-- The structure sheaf (valued in `Type`, not yet `CommRingCat`) is the subsheaf consisting of
functions satisfying `isLocallyFraction`.
-/
def structureSheafInType : Sheaf (Type u) (PrimeSpectrum.Top R) :=
subsheafToTypes (isLocallyFraction R)
instance commRingStructureSheafInTypeObj (U : (Opens (PrimeSpectrum.Top R))ᵒᵖ) :
CommRing ((structureSheafInType R).1.obj U) :=
(sectionsSubring R U).toCommRing
open PrimeSpectrum
/-- The structure presheaf, valued in `CommRingCat`, constructed by dressing up the `Type` valued
structure presheaf.
-/
@[simps obj_carrier]
def structurePresheafInCommRing : Presheaf CommRingCat (PrimeSpectrum.Top R) where
obj U := CommRingCat.of ((structureSheafInType R).1.obj U)
map {_ _} i := CommRingCat.ofHom
{ toFun := (structureSheafInType R).1.map i
map_zero' := rfl
map_add' := fun _ _ => rfl
map_one' := rfl
map_mul' := fun _ _ => rfl }
/-- Some glue, verifying that the structure presheaf valued in `CommRingCat` agrees
with the `Type` valued structure presheaf.
-/
def structurePresheafCompForget :
structurePresheafInCommRing R ⋙ forget CommRingCat ≅ (structureSheafInType R).1 :=
NatIso.ofComponents fun _ => Iso.refl _
open TopCat.Presheaf
/-- The structure sheaf on $Spec R$, valued in `CommRingCat`.
This is provided as a bundled `SheafedSpace` as `Spec.SheafedSpace R` later.
-/
def Spec.structureSheaf : Sheaf CommRingCat (PrimeSpectrum.Top R) :=
⟨structurePresheafInCommRing R,
(-- We check the sheaf condition under `forget CommRingCat`.
isSheaf_iff_isSheaf_comp
_ _).mpr
(isSheaf_of_iso (structurePresheafCompForget R).symm (structureSheafInType R).cond)⟩
open Spec (structureSheaf)
namespace StructureSheaf
@[simp]
theorem res_apply (U V : Opens (PrimeSpectrum.Top R)) (i : V ⟶ U)
(s : (structureSheaf R).1.obj (op U)) (x : V) :
((structureSheaf R).1.map i.op s).1 x = (s.1 (i x) :) :=
rfl
/-
Notation in this comment
X = Spec R
OX = structure sheaf
In the following we construct an isomorphism between OX_p and R_p given any point p corresponding
to a prime ideal in R.
We do this via 8 steps:
1. def const (f g : R) (V) (hv : V ≤ D_g) : OX(V) [for api]
2. def toOpen (U) : R ⟶ OX(U)
3. [2] def toStalk (p : Spec R) : R ⟶ OX_p
4. [2] def toBasicOpen (f : R) : R_f ⟶ OX(D_f)
5. [3] def localizationToStalk (p : Spec R) : R_p ⟶ OX_p
6. def openToLocalization (U) (p) (hp : p ∈ U) : OX(U) ⟶ R_p
7. [6] def stalkToFiberRingHom (p : Spec R) : OX_p ⟶ R_p
8. [5,7] def stalkIso (p : Spec R) : OX_p ≅ R_p
In the square brackets we list the dependencies of a construction on the previous steps.
-/
/-- The section of `structureSheaf R` on an open `U` sending each `x ∈ U` to the element
`f/g` in the localization of `R` at `x`. -/
def const (f g : R) (U : Opens (PrimeSpectrum.Top R))
(hu : ∀ x ∈ U, g ∈ (x : PrimeSpectrum.Top R).asIdeal.primeCompl) :
(structureSheaf R).1.obj (op U) :=
⟨fun x => IsLocalization.mk' _ f ⟨g, hu x x.2⟩, fun x =>
⟨U, x.2, 𝟙 _, f, g, fun y => ⟨hu y y.2, IsLocalization.mk'_spec _ _ _⟩⟩⟩
@[simp]
theorem const_apply (f g : R) (U : Opens (PrimeSpectrum.Top R))
(hu : ∀ x ∈ U, g ∈ (x : PrimeSpectrum.Top R).asIdeal.primeCompl) (x : U) :
(const R f g U hu).1 x =
IsLocalization.mk' (Localization.AtPrime x.1.asIdeal) f ⟨g, hu x x.2⟩ :=
rfl
theorem const_apply' (f g : R) (U : Opens (PrimeSpectrum.Top R))
(hu : ∀ x ∈ U, g ∈ (x : PrimeSpectrum.Top R).asIdeal.primeCompl) (x : U)
(hx : g ∈ (x : PrimeSpectrum.Top R).asIdeal.primeCompl) :
(const R f g U hu).1 x = IsLocalization.mk' _ f ⟨g, hx⟩ :=
rfl
theorem exists_const (U) (s : (structureSheaf R).1.obj (op U)) (x : PrimeSpectrum.Top R)
(hx : x ∈ U) :
∃ (V : Opens (PrimeSpectrum.Top R)) (_ : x ∈ V) (i : V ⟶ U) (f g : R) (hg : _),
const R f g V hg = (structureSheaf R).1.map i.op s :=
let ⟨V, hxV, iVU, f, g, hfg⟩ := s.2 ⟨x, hx⟩
⟨V, hxV, iVU, f, g, fun y hyV => (hfg ⟨y, hyV⟩).1,
Subtype.eq <| funext fun y => IsLocalization.mk'_eq_iff_eq_mul.2 <| Eq.symm <| (hfg y).2⟩
@[simp]
theorem res_const (f g : R) (U hu V hv i) :
(structureSheaf R).1.map i (const R f g U hu) = const R f g V hv :=
rfl
theorem res_const' (f g : R) (V hv) :
(structureSheaf R).1.map (homOfLE hv).op (const R f g (PrimeSpectrum.basicOpen g) fun _ => id) =
const R f g V hv :=
rfl
theorem const_zero (f : R) (U hu) : const R 0 f U hu = 0 :=
Subtype.eq <| funext fun x => IsLocalization.mk'_eq_iff_eq_mul.2 <| by
rw [RingHom.map_zero]
exact (mul_eq_zero_of_left rfl ((algebraMap R (Localizations R x)) _)).symm
theorem const_self (f : R) (U hu) : const R f f U hu = 1 :=
Subtype.eq <| funext fun _ => IsLocalization.mk'_self _ _
theorem const_one (U) : (const R 1 1 U fun _ _ => Submonoid.one_mem _) = 1 :=
const_self R 1 U _
theorem const_add (f₁ f₂ g₁ g₂ : R) (U hu₁ hu₂) :
const R f₁ g₁ U hu₁ + const R f₂ g₂ U hu₂ =
const R (f₁ * g₂ + f₂ * g₁) (g₁ * g₂) U fun x hx =>
Submonoid.mul_mem _ (hu₁ x hx) (hu₂ x hx) :=
Subtype.eq <| funext fun x => Eq.symm <| IsLocalization.mk'_add _ _
⟨g₁, hu₁ x x.2⟩ ⟨g₂, hu₂ x x.2⟩
theorem const_mul (f₁ f₂ g₁ g₂ : R) (U hu₁ hu₂) :
const R f₁ g₁ U hu₁ * const R f₂ g₂ U hu₂ =
const R (f₁ * f₂) (g₁ * g₂) U fun x hx => Submonoid.mul_mem _ (hu₁ x hx) (hu₂ x hx) :=
Subtype.eq <|
funext fun x =>
Eq.symm <| IsLocalization.mk'_mul _ f₁ f₂ ⟨g₁, hu₁ x x.2⟩ ⟨g₂, hu₂ x x.2⟩
theorem const_ext {f₁ f₂ g₁ g₂ : R} {U hu₁ hu₂} (h : f₁ * g₂ = f₂ * g₁) :
const R f₁ g₁ U hu₁ = const R f₂ g₂ U hu₂ :=
Subtype.eq <|
funext fun x =>
IsLocalization.mk'_eq_of_eq (by rw [mul_comm, Subtype.coe_mk, ← h, mul_comm, Subtype.coe_mk])
theorem const_congr {f₁ f₂ g₁ g₂ : R} {U hu} (hf : f₁ = f₂) (hg : g₁ = g₂) :
const R f₁ g₁ U hu = const R f₂ g₂ U (hg ▸ hu) := by substs hf hg; rfl
theorem const_mul_rev (f g : R) (U hu₁ hu₂) : const R f g U hu₁ * const R g f U hu₂ = 1 := by
rw [const_mul, const_congr R rfl (mul_comm g f), const_self]
theorem const_mul_cancel (f g₁ g₂ : R) (U hu₁ hu₂) :
const R f g₁ U hu₁ * const R g₁ g₂ U hu₂ = const R f g₂ U hu₂ := by
rw [const_mul, const_ext]; rw [mul_assoc]
theorem const_mul_cancel' (f g₁ g₂ : R) (U hu₁ hu₂) :
const R g₁ g₂ U hu₂ * const R f g₁ U hu₁ = const R f g₂ U hu₂ := by
rw [mul_comm, const_mul_cancel]
/-- The canonical ring homomorphism interpreting an element of `R` as
a section of the structure sheaf. -/
def toOpen (U : Opens (PrimeSpectrum.Top R)) :
CommRingCat.of R ⟶ (structureSheaf R).1.obj (op U) := CommRingCat.ofHom
{ toFun f :=
⟨fun _ => algebraMap R _ f, fun x =>
⟨U, x.2, 𝟙 _, f, 1, fun y =>
⟨(Ideal.ne_top_iff_one _).1 y.1.2.1, by simp [RingHom.map_one, mul_one]⟩⟩⟩
map_one' := Subtype.eq <| funext fun _ => RingHom.map_one _
map_mul' _ _ := Subtype.eq <| funext fun _ => RingHom.map_mul _ _ _
map_zero' := Subtype.eq <| funext fun _ => RingHom.map_zero _
map_add' _ _ := Subtype.eq <| funext fun _ => RingHom.map_add _ _ _ }
@[simp]
theorem toOpen_res (U V : Opens (PrimeSpectrum.Top R)) (i : V ⟶ U) :
toOpen R U ≫ (structureSheaf R).1.map i.op = toOpen R V :=
rfl
@[simp]
theorem toOpen_apply (U : Opens (PrimeSpectrum.Top R)) (f : R) (x : U) :
(toOpen R U f).1 x = algebraMap _ _ f :=
rfl
theorem toOpen_eq_const (U : Opens (PrimeSpectrum.Top R)) (f : R) :
toOpen R U f = const R f 1 U fun x _ => (Ideal.ne_top_iff_one _).1 x.2.1 :=
Subtype.eq <| funext fun _ => Eq.symm <| IsLocalization.mk'_one _ f
/-- The canonical ring homomorphism interpreting an element of `R` as an element of
the stalk of `structureSheaf R` at `x`. -/
def toStalk (x : PrimeSpectrum.Top R) : CommRingCat.of R ⟶ (structureSheaf R).presheaf.stalk x :=
(toOpen R ⊤ ≫ (structureSheaf R).presheaf.germ _ x (by trivial))
@[simp]
theorem toOpen_germ (U : Opens (PrimeSpectrum.Top R)) (x : PrimeSpectrum.Top R) (hx : x ∈ U) :
toOpen R U ≫ (structureSheaf R).presheaf.germ U x hx = toStalk R x := by
rw [← toOpen_res R ⊤ U (homOfLE le_top : U ⟶ ⊤), Category.assoc, Presheaf.germ_res]; rfl
@[simp]
theorem germ_toOpen
(U : Opens (PrimeSpectrum.Top R)) (x : PrimeSpectrum.Top R) (hx : x ∈ U) (f : R) :
(structureSheaf R).presheaf.germ U x hx (toOpen R U f) = toStalk R x f := by
rw [← toOpen_germ]; rfl
theorem toOpen_Γgerm_apply (x : PrimeSpectrum.Top R) (f : R) :
(structureSheaf R).presheaf.Γgerm x (toOpen R ⊤ f) = toStalk R x f :=
rfl
theorem isUnit_to_basicOpen_self (f : R) : IsUnit (toOpen R (PrimeSpectrum.basicOpen f) f) :=
isUnit_of_mul_eq_one _ (const R 1 f (PrimeSpectrum.basicOpen f) fun _ => id) <| by
rw [toOpen_eq_const, const_mul_rev]
theorem isUnit_toStalk (x : PrimeSpectrum.Top R) (f : x.asIdeal.primeCompl) :
IsUnit (toStalk R x (f : R)) := by
rw [← germ_toOpen R (PrimeSpectrum.basicOpen (f : R)) x f.2 (f : R)]
exact RingHom.isUnit_map _ (isUnit_to_basicOpen_self R f)
/-- The canonical ring homomorphism from the localization of `R` at `p` to the stalk
of the structure sheaf at the point `p`. -/
def localizationToStalk (x : PrimeSpectrum.Top R) :
CommRingCat.of (Localization.AtPrime x.asIdeal) ⟶ (structureSheaf R).presheaf.stalk x :=
CommRingCat.ofHom <|
show Localization.AtPrime x.asIdeal →+* _ from IsLocalization.lift (isUnit_toStalk R x)
@[simp]
theorem localizationToStalk_of (x : PrimeSpectrum.Top R) (f : R) :
localizationToStalk R x (algebraMap _ (Localization _) f) = toStalk R x f :=
IsLocalization.lift_eq (S := Localization x.asIdeal.primeCompl) _ f
@[simp]
theorem localizationToStalk_mk' (x : PrimeSpectrum.Top R) (f : R) (s : x.asIdeal.primeCompl) :
localizationToStalk R x (IsLocalization.mk' (Localization.AtPrime x.asIdeal) f s) =
(structureSheaf R).presheaf.germ (PrimeSpectrum.basicOpen (s : R)) x s.2
(const R f s (PrimeSpectrum.basicOpen s) fun _ => id) :=
(IsLocalization.lift_mk'_spec (S := Localization.AtPrime x.asIdeal) _ _ _ _).2 <| by
rw [← germ_toOpen R (PrimeSpectrum.basicOpen s) x s.2,
← germ_toOpen R (PrimeSpectrum.basicOpen s) x s.2, ← RingHom.map_mul, toOpen_eq_const,
toOpen_eq_const, const_mul_cancel']
/-- The ring homomorphism that takes a section of the structure sheaf of `R` on the open set `U`,
implemented as a subtype of dependent functions to localizations at prime ideals, and evaluates
the section on the point corresponding to a given prime ideal. -/
def openToLocalization (U : Opens (PrimeSpectrum.Top R)) (x : PrimeSpectrum.Top R) (hx : x ∈ U) :
(structureSheaf R).1.obj (op U) ⟶ CommRingCat.of (Localization.AtPrime x.asIdeal) :=
CommRingCat.ofHom
{ toFun s := (s.1 ⟨x, hx⟩ :)
map_one' := rfl
map_mul' _ _ := rfl
map_zero' := rfl
map_add' _ _ := rfl }
@[simp]
theorem coe_openToLocalization (U : Opens (PrimeSpectrum.Top R)) (x : PrimeSpectrum.Top R)
(hx : x ∈ U) :
(openToLocalization R U x hx :
(structureSheaf R).1.obj (op U) → Localization.AtPrime x.asIdeal) =
fun s => s.1 ⟨x, hx⟩ :=
rfl
theorem openToLocalization_apply (U : Opens (PrimeSpectrum.Top R)) (x : PrimeSpectrum.Top R)
(hx : x ∈ U) (s : (structureSheaf R).1.obj (op U)) :
openToLocalization R U x hx s = s.1 ⟨x, hx⟩ :=
rfl
/-- The ring homomorphism from the stalk of the structure sheaf of `R` at a point corresponding to
a prime ideal `p` to the localization of `R` at `p`,
formed by gluing the `openToLocalization` maps. -/
def stalkToFiberRingHom (x : PrimeSpectrum.Top R) :
(structureSheaf R).presheaf.stalk x ⟶ CommRingCat.of (Localization.AtPrime x.asIdeal) :=
Limits.colimit.desc ((OpenNhds.inclusion x).op ⋙ (structureSheaf R).1)
{ pt := _
ι := { app := fun U =>
openToLocalization R ((OpenNhds.inclusion _).obj (unop U)) x (unop U).2 } }
@[simp]
theorem germ_comp_stalkToFiberRingHom
(U : Opens (PrimeSpectrum.Top R)) (x : PrimeSpectrum.Top R) (hx : x ∈ U) :
(structureSheaf R).presheaf.germ U x hx ≫ stalkToFiberRingHom R x =
openToLocalization R U x hx :=
Limits.colimit.ι_desc _ _
@[simp]
theorem stalkToFiberRingHom_germ (U : Opens (PrimeSpectrum.Top R))
(x : PrimeSpectrum.Top R) (hx : x ∈ U) (s : (structureSheaf R).1.obj (op U)) :
stalkToFiberRingHom R x ((structureSheaf R).presheaf.germ U x hx s) = s.1 ⟨x, hx⟩ :=
RingHom.ext_iff.mp (CommRingCat.hom_ext_iff.mp (germ_comp_stalkToFiberRingHom R U x hx)) s
@[simp]
theorem toStalk_comp_stalkToFiberRingHom (x : PrimeSpectrum.Top R) :
toStalk R x ≫ stalkToFiberRingHom R x = CommRingCat.ofHom (algebraMap _ _) := by
rw [toStalk, Category.assoc, germ_comp_stalkToFiberRingHom]; rfl
@[simp]
theorem stalkToFiberRingHom_toStalk (x : PrimeSpectrum.Top R) (f : R) :
stalkToFiberRingHom R x (toStalk R x f) = algebraMap _ _ f :=
RingHom.ext_iff.1 (CommRingCat.hom_ext_iff.mp (toStalk_comp_stalkToFiberRingHom R x)) _
/-- The ring isomorphism between the stalk of the structure sheaf of `R` at a point `p`
corresponding to a prime ideal in `R` and the localization of `R` at `p`. -/
@[simps]
def stalkIso (x : PrimeSpectrum.Top R) :
(structureSheaf R).presheaf.stalk x ≅ CommRingCat.of (Localization.AtPrime x.asIdeal) where
hom := stalkToFiberRingHom R x
inv := localizationToStalk R x
hom_inv_id := by
apply stalk_hom_ext
intro U hxU
ext s
dsimp only [CommRingCat.hom_comp, RingHom.coe_comp, Function.comp_apply, CommRingCat.hom_id,
RingHom.coe_id, id_eq]
rw [stalkToFiberRingHom_germ]
obtain ⟨V, hxV, iVU, f, g, (hg : V ≤ PrimeSpectrum.basicOpen _), hs⟩ :=
exists_const _ _ s x hxU
have := res_apply R U V iVU s ⟨x, hxV⟩
dsimp only [isLocallyFraction_pred, Opens.apply_mk] at this
rw [← this, ← hs, const_apply, localizationToStalk_mk']
refine (structureSheaf R).presheaf.germ_ext V hxV (homOfLE hg) iVU ?_
rw [← hs, res_const']
inv_hom_id := CommRingCat.hom_ext <|
@IsLocalization.ringHom_ext R _ x.asIdeal.primeCompl (Localization.AtPrime x.asIdeal) _ _
(Localization.AtPrime x.asIdeal) _ _
(RingHom.comp (stalkToFiberRingHom R x).hom (localizationToStalk R x).hom)
(RingHom.id (Localization.AtPrime _)) <| by
ext f
rw [RingHom.comp_apply, RingHom.comp_apply, localizationToStalk_of,
stalkToFiberRingHom_toStalk, RingHom.comp_apply, RingHom.id_apply]
instance (x : PrimeSpectrum R) : IsIso (stalkToFiberRingHom R x) :=
(stalkIso R x).isIso_hom
instance (x : PrimeSpectrum R) : IsLocalHom (stalkToFiberRingHom R x).hom :=
isLocalHom_of_isIso _
instance (x : PrimeSpectrum R) : IsIso (localizationToStalk R x) :=
(stalkIso R x).isIso_inv
instance (x : PrimeSpectrum R) : IsLocalHom (localizationToStalk R x).hom :=
isLocalHom_of_isIso _
@[simp, reassoc]
theorem stalkToFiberRingHom_localizationToStalk (x : PrimeSpectrum.Top R) :
stalkToFiberRingHom R x ≫ localizationToStalk R x = 𝟙 _ :=
(stalkIso R x).hom_inv_id
@[simp, reassoc]
theorem localizationToStalk_stalkToFiberRingHom (x : PrimeSpectrum.Top R) :
localizationToStalk R x ≫ stalkToFiberRingHom R x = 𝟙 _ :=
(stalkIso R x).inv_hom_id
/-- The canonical ring homomorphism interpreting `s ∈ R_f` as a section of the structure sheaf
on the basic open defined by `f ∈ R`. -/
def toBasicOpen (f : R) :
Localization.Away f →+* (structureSheaf R).1.obj (op <| PrimeSpectrum.basicOpen f) :=
IsLocalization.Away.lift f (isUnit_to_basicOpen_self R f)
@[simp]
theorem toBasicOpen_mk' (s f : R) (g : Submonoid.powers s) :
toBasicOpen R s (IsLocalization.mk' (Localization.Away s) f g) =
const R f g (PrimeSpectrum.basicOpen s) fun _ hx => Submonoid.powers_le.2 hx g.2 :=
(IsLocalization.lift_mk'_spec _ _ _ _).2 <| by
rw [toOpen_eq_const, toOpen_eq_const, const_mul_cancel']
@[simp]
theorem localization_toBasicOpen (f : R) :
RingHom.comp (toBasicOpen R f) (algebraMap R (Localization.Away f)) =
(toOpen R (PrimeSpectrum.basicOpen f)).hom :=
RingHom.ext fun g => by
rw [toBasicOpen, IsLocalization.Away.lift, RingHom.comp_apply, IsLocalization.lift_eq]
@[simp]
theorem toBasicOpen_to_map (s f : R) :
toBasicOpen R s (algebraMap R (Localization.Away s) f) =
const R f 1 (PrimeSpectrum.basicOpen s) fun _ _ => Submonoid.one_mem _ :=
(IsLocalization.lift_eq _ _).trans <| toOpen_eq_const _ _ _
-- The proof here follows the argument in Hartshorne's Algebraic Geometry, Proposition II.2.2.
theorem toBasicOpen_injective (f : R) : Function.Injective (toBasicOpen R f) := by
intro s t h_eq
obtain ⟨a, ⟨b, hb⟩, rfl⟩ := IsLocalization.mk'_surjective (Submonoid.powers f) s
obtain ⟨c, ⟨d, hd⟩, rfl⟩ := IsLocalization.mk'_surjective (Submonoid.powers f) t
simp only [toBasicOpen_mk'] at h_eq
rw [IsLocalization.eq]
-- We know that the fractions `a/b` and `c/d` are equal as sections of the structure sheaf on
-- `basicOpen f`. We need to show that they agree as elements in the localization of `R` at `f`.
-- This amounts showing that `r * (d * a) = r * (b * c)`, for some power `r = f ^ n` of `f`.
-- We define `I` as the ideal of *all* elements `r` satisfying the above equation.
let I : Ideal R :=
{ carrier := { r : R | r * (d * a) = r * (b * c) }
zero_mem' := by simp only [Set.mem_setOf_eq, zero_mul]
add_mem' := fun {r₁ r₂} hr₁ hr₂ => by dsimp at hr₁ hr₂ ⊢; simp only [add_mul, hr₁, hr₂]
smul_mem' := fun {r₁ r₂} hr₂ => by dsimp at hr₂ ⊢; simp only [mul_assoc, hr₂] }
-- Our claim now reduces to showing that `f` is contained in the radical of `I`
suffices f ∈ I.radical by
obtain ⟨n, hn⟩ := this
exact ⟨⟨f ^ n, n, rfl⟩, hn⟩
rw [← PrimeSpectrum.vanishingIdeal_zeroLocus_eq_radical, PrimeSpectrum.mem_vanishingIdeal]
intro p hfp
contrapose hfp
rw [PrimeSpectrum.mem_zeroLocus, Set.not_subset]
have := congr_fun (congr_arg Subtype.val h_eq) ⟨p, hfp⟩
dsimp at this
rw [IsLocalization.eq (S := Localization.AtPrime p.asIdeal)] at this
obtain ⟨r, hr⟩ := this
exact ⟨r.1, hr, r.2⟩
/-
Auxiliary lemma for surjectivity of `toBasicOpen`.
Every section can locally be represented on basic opens `basicOpen g` as a fraction `f/g`
-/
theorem locally_const_basicOpen (U : Opens (PrimeSpectrum.Top R))
(s : (structureSheaf R).1.obj (op U)) (x : U) :
∃ (f g : R) (i : PrimeSpectrum.basicOpen g ⟶ U), x.1 ∈ PrimeSpectrum.basicOpen g ∧
(const R f g (PrimeSpectrum.basicOpen g) fun _ hy => hy) =
(structureSheaf R).1.map i.op s := by
-- First, any section `s` can be represented as a fraction `f/g` on some open neighborhood of `x`
-- and we may pass to a `basicOpen h`, since these form a basis
obtain ⟨V, hxV : x.1 ∈ V.1, iVU, f, g, hVDg : V ≤ PrimeSpectrum.basicOpen g, s_eq⟩ :=
exists_const R U s x.1 x.2
obtain ⟨_, ⟨h, rfl⟩, hxDh, hDhV : PrimeSpectrum.basicOpen h ≤ V⟩ :=
PrimeSpectrum.isTopologicalBasis_basic_opens.exists_subset_of_mem_open hxV V.2
-- The problem is of course, that `g` and `h` don't need to coincide.
-- But, since `basicOpen h ≤ basicOpen g`, some power of `h` must be a multiple of `g`
obtain ⟨n, hn⟩ := (PrimeSpectrum.basicOpen_le_basicOpen_iff h g).mp (Set.Subset.trans hDhV hVDg)
-- Actually, we will need a *nonzero* power of `h`.
-- This is because we will need the equality `basicOpen (h ^ n) = basicOpen h`, which only
-- holds for a nonzero power `n`. We therefore artificially increase `n` by one.
| replace hn := Ideal.mul_mem_right h (Ideal.span {g}) hn
rw [← pow_succ, Ideal.mem_span_singleton'] at hn
obtain ⟨c, hc⟩ := hn
have basic_opens_eq := PrimeSpectrum.basicOpen_pow h (n + 1) (by omega)
have i_basic_open := eqToHom basic_opens_eq ≫ homOfLE hDhV
| Mathlib/AlgebraicGeometry/StructureSheaf.lean | 637 | 641 |
/-
Copyright (c) 2020 Kim Morrison. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Kim Morrison, Bhavik Mehta
-/
import Mathlib.CategoryTheory.Limits.Preserves.Basic
/-!
# Isomorphisms about functors which preserve (co)limits
If `G` preserves limits, and `C` and `D` have limits, then for any diagram `F : J ⥤ C` we have a
canonical isomorphism `preservesLimitsIso : G.obj (Limit F) ≅ Limit (F ⋙ G)`.
We also show that we can commute `IsLimit.lift` of a preserved limit with `Functor.mapCone`:
`(PreservesLimit.preserves t).lift (G.mapCone c₂) = G.map (t.lift c₂)`.
The duals of these are also given. For functors which preserve (co)limits of specific shapes, see
`preserves/shapes.lean`.
-/
universe w' w v₁ v₂ u₁ u₂
noncomputable section
namespace CategoryTheory
open Category Limits
variable {C : Type u₁} [Category.{v₁} C]
variable {D : Type u₂} [Category.{v₂} D]
variable (G : C ⥤ D)
variable {J : Type w} [Category.{w'} J]
variable (F : J ⥤ C)
section
variable [PreservesLimit F G]
@[simp]
theorem preserves_lift_mapCone (c₁ c₂ : Cone F) (t : IsLimit c₁) :
(isLimitOfPreserves G t).lift (G.mapCone c₂) = G.map (t.lift c₂) :=
((isLimitOfPreserves G t).uniq (G.mapCone c₂) _ (by simp [← G.map_comp])).symm
variable [HasLimit F]
/-- If `G` preserves limits, we have an isomorphism from the image of the limit of a functor `F`
to the limit of the functor `F ⋙ G`.
-/
def preservesLimitIso : G.obj (limit F) ≅ limit (F ⋙ G) :=
(isLimitOfPreserves G (limit.isLimit _)).conePointUniqueUpToIso (limit.isLimit _)
@[reassoc (attr := simp)]
theorem preservesLimitIso_hom_π (j) :
(preservesLimitIso G F).hom ≫ limit.π _ j = G.map (limit.π F j) :=
IsLimit.conePointUniqueUpToIso_hom_comp _ _ j
@[deprecated (since := "2024-10-27")] alias preservesLimitsIso_hom_π := preservesLimitIso_hom_π
@[reassoc (attr := simp)]
theorem preservesLimitIso_inv_π (j) :
(preservesLimitIso G F).inv ≫ G.map (limit.π F j) = limit.π _ j :=
IsLimit.conePointUniqueUpToIso_inv_comp _ _ j
@[deprecated (since := "2024-10-27")] alias preservesLimitsIso_inv_π := preservesLimitIso_inv_π
@[reassoc (attr := simp)]
theorem lift_comp_preservesLimitIso_hom (t : Cone F) :
G.map (limit.lift _ t) ≫ (preservesLimitIso G F).hom =
| limit.lift (F ⋙ G) (G.mapCone _) := by
ext
simp [← G.map_comp]
@[deprecated (since := "2024-10-27")]
| Mathlib/CategoryTheory/Limits/Preserves/Limits.lean | 69 | 73 |
/-
Copyright (c) 2020 Kim Morrison. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Mario Carneiro, Kim Morrison, Ainsley Pahljina
-/
import Mathlib.RingTheory.Fintype
import Mathlib.Tactic.NormNum
import Mathlib.Tactic.Ring
import Mathlib.Tactic.Zify
/-!
# The Lucas-Lehmer test for Mersenne primes.
We define `lucasLehmerResidue : Π p : ℕ, ZMod (2^p - 1)`, and
prove `lucasLehmerResidue p = 0 → Prime (mersenne p)`.
We construct a `norm_num` extension to calculate this residue to certify primality of Mersenne
primes using `lucas_lehmer_sufficiency`.
## TODO
- Show reverse implication.
- Speed up the calculations using `n ≡ (n % 2^p) + (n / 2^p) [MOD 2^p - 1]`.
- Find some bigger primes!
## History
This development began as a student project by Ainsley Pahljina,
and was then cleaned up for mathlib by Kim Morrison.
The tactic for certified computation of Lucas-Lehmer residues was provided by Mario Carneiro.
This tactic was ported by Thomas Murrills to Lean 4, and then it was converted to a `norm_num`
extension and made to use kernel reductions by Kyle Miller.
-/
assert_not_exists TwoSidedIdeal
/-- The Mersenne numbers, 2^p - 1. -/
def mersenne (p : ℕ) : ℕ :=
2 ^ p - 1
theorem strictMono_mersenne : StrictMono mersenne := fun m n h ↦
(Nat.sub_lt_sub_iff_right <| Nat.one_le_pow _ _ two_pos).2 <| by gcongr; norm_num1
@[simp]
theorem mersenne_lt_mersenne {p q : ℕ} : mersenne p < mersenne q ↔ p < q :=
strictMono_mersenne.lt_iff_lt
@[gcongr] protected alias ⟨_, GCongr.mersenne_lt_mersenne⟩ := mersenne_lt_mersenne
@[simp]
theorem mersenne_le_mersenne {p q : ℕ} : mersenne p ≤ mersenne q ↔ p ≤ q :=
strictMono_mersenne.le_iff_le
@[gcongr] protected alias ⟨_, GCongr.mersenne_le_mersenne⟩ := mersenne_le_mersenne
@[simp] theorem mersenne_zero : mersenne 0 = 0 := rfl
@[simp] lemma mersenne_odd : ∀ {p : ℕ}, Odd (mersenne p) ↔ p ≠ 0
| 0 => by simp
| p + 1 => by
simpa using Nat.Even.sub_odd (one_le_pow₀ one_le_two)
(even_two.pow_of_ne_zero p.succ_ne_zero) odd_one
@[simp] theorem mersenne_pos {p : ℕ} : 0 < mersenne p ↔ 0 < p := mersenne_lt_mersenne (p := 0)
namespace Mathlib.Meta.Positivity
open Lean Meta Qq Function
alias ⟨_, mersenne_pos_of_pos⟩ := mersenne_pos
/-- Extension for the `positivity` tactic: `mersenne`. -/
@[positivity mersenne _]
def evalMersenne : PositivityExt where eval {u α} _zα _pα e := do
match u, α, e with
| 0, ~q(ℕ), ~q(mersenne $a) =>
let ra ← core q(inferInstance) q(inferInstance) a
assertInstancesCommute
match ra with
| .positive pa => pure (.positive q(mersenne_pos_of_pos $pa))
| _ => pure (.nonnegative q(Nat.zero_le (mersenne $a)))
| _, _, _ => throwError "not mersenne"
end Mathlib.Meta.Positivity
@[simp]
theorem one_lt_mersenne {p : ℕ} : 1 < mersenne p ↔ 1 < p :=
mersenne_lt_mersenne (p := 1)
@[simp]
theorem succ_mersenne (k : ℕ) : mersenne k + 1 = 2 ^ k := by
rw [mersenne, tsub_add_cancel_of_le]
exact one_le_pow₀ (by norm_num)
namespace LucasLehmer
open Nat
/-!
We now define three(!) different versions of the recurrence
`s (i+1) = (s i)^2 - 2`.
These versions take values either in `ℤ`, in `ZMod (2^p - 1)`, or
in `ℤ` but applying `% (2^p - 1)` at each step.
They are each useful at different points in the proof,
so we take a moment setting up the lemmas relating them.
-/
/-- The recurrence `s (i+1) = (s i)^2 - 2` in `ℤ`. -/
def s : ℕ → ℤ
| 0 => 4
| i + 1 => s i ^ 2 - 2
/-- The recurrence `s (i+1) = (s i)^2 - 2` in `ZMod (2^p - 1)`. -/
def sZMod (p : ℕ) : ℕ → ZMod (2 ^ p - 1)
| 0 => 4
| i + 1 => sZMod p i ^ 2 - 2
/-- The recurrence `s (i+1) = ((s i)^2 - 2) % (2^p - 1)` in `ℤ`. -/
def sMod (p : ℕ) : ℕ → ℤ
| 0 => 4 % (2 ^ p - 1)
| i + 1 => (sMod p i ^ 2 - 2) % (2 ^ p - 1)
theorem mersenne_int_pos {p : ℕ} (hp : p ≠ 0) : (0 : ℤ) < 2 ^ p - 1 :=
sub_pos.2 <| mod_cast Nat.one_lt_two_pow hp
theorem mersenne_int_ne_zero (p : ℕ) (hp : p ≠ 0) : (2 ^ p - 1 : ℤ) ≠ 0 :=
(mersenne_int_pos hp).ne'
theorem sMod_nonneg (p : ℕ) (hp : p ≠ 0) (i : ℕ) : 0 ≤ sMod p i := by
cases i <;> dsimp [sMod]
· exact sup_eq_right.mp rfl
· apply Int.emod_nonneg
exact mersenne_int_ne_zero p hp
theorem sMod_mod (p i : ℕ) : sMod p i % (2 ^ p - 1) = sMod p i := by cases i <;> simp [sMod]
theorem sMod_lt (p : ℕ) (hp : p ≠ 0) (i : ℕ) : sMod p i < 2 ^ p - 1 := by
rw [← sMod_mod]
refine (Int.emod_lt_abs _ (mersenne_int_ne_zero p hp)).trans_eq ?_
exact abs_of_nonneg (mersenne_int_pos hp).le
theorem sZMod_eq_s (p' : ℕ) (i : ℕ) : sZMod (p' + 2) i = (s i : ZMod (2 ^ (p' + 2) - 1)) := by
induction i with
| zero => dsimp [s, sZMod]; norm_num
| succ i ih => push_cast [s, sZMod, ih]; rfl
-- These next two don't make good `norm_cast` lemmas.
theorem Int.natCast_pow_pred (b p : ℕ) (w : 0 < b) : ((b ^ p - 1 : ℕ) : ℤ) = (b : ℤ) ^ p - 1 := by
have : 1 ≤ b ^ p := Nat.one_le_pow p b w
norm_cast
theorem Int.coe_nat_two_pow_pred (p : ℕ) : ((2 ^ p - 1 : ℕ) : ℤ) = (2 ^ p - 1 : ℤ) :=
Int.natCast_pow_pred 2 p (by decide)
theorem sZMod_eq_sMod (p : ℕ) (i : ℕ) : sZMod p i = (sMod p i : ZMod (2 ^ p - 1)) := by
induction i <;> push_cast [← Int.coe_nat_two_pow_pred p, sMod, sZMod, *] <;> rfl
/-- The Lucas-Lehmer residue is `s p (p-2)` in `ZMod (2^p - 1)`. -/
def lucasLehmerResidue (p : ℕ) : ZMod (2 ^ p - 1) :=
sZMod p (p - 2)
theorem residue_eq_zero_iff_sMod_eq_zero (p : ℕ) (w : 1 < p) :
lucasLehmerResidue p = 0 ↔ sMod p (p - 2) = 0 := by
dsimp [lucasLehmerResidue]
rw [sZMod_eq_sMod p]
constructor
· -- We want to use that fact that `0 ≤ s_mod p (p-2) < 2^p - 1`
-- and `lucas_lehmer_residue p = 0 → 2^p - 1 ∣ s_mod p (p-2)`.
intro h
simp? [ZMod.intCast_zmod_eq_zero_iff_dvd] at h says
simp only [ZMod.intCast_zmod_eq_zero_iff_dvd, ofNat_pos, pow_pos, cast_pred,
cast_pow, cast_ofNat] at h
apply Int.eq_zero_of_dvd_of_nonneg_of_lt _ _ h <;> clear h
· exact sMod_nonneg _ (by positivity) _
· exact sMod_lt _ (by positivity) _
· intro h
rw [h]
simp
/-- **Lucas-Lehmer Test**: a Mersenne number `2^p-1` is prime if and only if
the Lucas-Lehmer residue `s p (p-2) % (2^p - 1)` is zero.
-/
def LucasLehmerTest (p : ℕ) : Prop :=
lucasLehmerResidue p = 0
/-- `q` is defined as the minimum factor of `mersenne p`, bundled as an `ℕ+`. -/
def q (p : ℕ) : ℕ+ :=
⟨Nat.minFac (mersenne p), Nat.minFac_pos (mersenne p)⟩
-- It would be nice to define this as (ℤ/qℤ)[x] / (x^2 - 3),
-- obtaining the ring structure for free,
-- but that seems to be more trouble than it's worth;
-- if it were easy to make the definition,
-- cardinality calculations would be somewhat more involved, too.
/-- We construct the ring `X q` as ℤ/qℤ + √3 ℤ/qℤ. -/
def X (q : ℕ+) : Type :=
ZMod q × ZMod q
namespace X
variable {q : ℕ+}
instance : Inhabited (X q) := inferInstanceAs (Inhabited (ZMod q × ZMod q))
instance : Fintype (X q) := inferInstanceAs (Fintype (ZMod q × ZMod q))
instance : DecidableEq (X q) := inferInstanceAs (DecidableEq (ZMod q × ZMod q))
instance : AddCommGroup (X q) := inferInstanceAs (AddCommGroup (ZMod q × ZMod q))
@[ext]
theorem ext {x y : X q} (h₁ : x.1 = y.1) (h₂ : x.2 = y.2) : x = y := by
cases x; cases y; congr
@[simp] theorem zero_fst : (0 : X q).1 = 0 := rfl
@[simp] theorem zero_snd : (0 : X q).2 = 0 := rfl
@[simp]
theorem add_fst (x y : X q) : (x + y).1 = x.1 + y.1 :=
rfl
@[simp]
theorem add_snd (x y : X q) : (x + y).2 = x.2 + y.2 :=
rfl
@[simp]
theorem neg_fst (x : X q) : (-x).1 = -x.1 :=
rfl
@[simp]
theorem neg_snd (x : X q) : (-x).2 = -x.2 :=
rfl
instance : Mul (X q) where mul x y := (x.1 * y.1 + 3 * x.2 * y.2, x.1 * y.2 + x.2 * y.1)
@[simp]
theorem mul_fst (x y : X q) : (x * y).1 = x.1 * y.1 + 3 * x.2 * y.2 :=
rfl
@[simp]
theorem mul_snd (x y : X q) : (x * y).2 = x.1 * y.2 + x.2 * y.1 :=
rfl
instance : One (X q) where one := ⟨1, 0⟩
@[simp]
theorem one_fst : (1 : X q).1 = 1 :=
rfl
@[simp]
theorem one_snd : (1 : X q).2 = 0 :=
rfl
instance : Monoid (X q) :=
{ inferInstanceAs (Mul (X q)), inferInstanceAs (One (X q)) with
mul_assoc := fun x y z => by ext <;> dsimp <;> ring
one_mul := fun x => by ext <;> simp
mul_one := fun x => by ext <;> simp }
instance : NatCast (X q) where
natCast := fun n => ⟨n, 0⟩
@[simp] theorem fst_natCast (n : ℕ) : (n : X q).fst = (n : ZMod q) := rfl
@[simp] theorem snd_natCast (n : ℕ) : (n : X q).snd = (0 : ZMod q) := rfl
@[simp] theorem ofNat_fst (n : ℕ) [n.AtLeastTwo] :
(ofNat(n) : X q).fst = OfNat.ofNat n :=
rfl
@[simp] theorem ofNat_snd (n : ℕ) [n.AtLeastTwo] :
(ofNat(n) : X q).snd = 0 :=
rfl
instance : AddGroupWithOne (X q) :=
{ inferInstanceAs (Monoid (X q)), inferInstanceAs (AddCommGroup (X q)),
inferInstanceAs (NatCast (X q)) with
natCast_zero := by ext <;> simp
natCast_succ := fun _ ↦ by ext <;> simp
intCast := fun n => ⟨n, 0⟩
intCast_ofNat := fun n => by ext <;> simp
intCast_negSucc := fun n => by ext <;> simp }
theorem left_distrib (x y z : X q) : x * (y + z) = x * y + x * z := by
ext <;> dsimp <;> ring
theorem right_distrib (x y z : X q) : (x + y) * z = x * z + y * z := by
ext <;> dsimp <;> ring
instance : Ring (X q) :=
{ inferInstanceAs (AddGroupWithOne (X q)), inferInstanceAs (AddCommGroup (X q)),
inferInstanceAs (Monoid (X q)) with
left_distrib := left_distrib
right_distrib := right_distrib
mul_zero := fun _ ↦ by ext <;> simp
zero_mul := fun _ ↦ by ext <;> simp }
instance : CommRing (X q) :=
{ inferInstanceAs (Ring (X q)) with
mul_comm := fun _ _ ↦ by ext <;> dsimp <;> ring }
instance [Fact (1 < (q : ℕ))] : Nontrivial (X q) :=
⟨⟨0, 1, ne_of_apply_ne Prod.fst zero_ne_one⟩⟩
@[simp]
theorem fst_intCast (n : ℤ) : (n : X q).fst = (n : ZMod q) :=
rfl
@[simp]
theorem snd_intCast (n : ℤ) : (n : X q).snd = (0 : ZMod q) :=
rfl
@[norm_cast]
theorem coe_mul (n m : ℤ) : ((n * m : ℤ) : X q) = (n : X q) * (m : X q) := by ext <;> simp
@[norm_cast]
theorem coe_natCast (n : ℕ) : ((n : ℤ) : X q) = (n : X q) := by ext <;> simp
/-- The cardinality of `X` is `q^2`. -/
theorem card_eq : Fintype.card (X q) = q ^ 2 := by
dsimp [X]
rw [Fintype.card_prod, ZMod.card q, sq]
/-- There are strictly fewer than `q^2` units, since `0` is not a unit. -/
nonrec theorem card_units_lt (w : 1 < q) : Fintype.card (X q)ˣ < q ^ 2 := by
have : Fact (1 < (q : ℕ)) := ⟨w⟩
convert card_units_lt (X q)
rw [card_eq]
/-- We define `ω = 2 + √3`. -/
def ω : X q := (2, 1)
/-- We define `ωb = 2 - √3`, which is the inverse of `ω`. -/
def ωb : X q := (2, -1)
theorem ω_mul_ωb (q : ℕ+) : (ω : X q) * ωb = 1 := by
dsimp [ω, ωb]
ext <;> simp; ring
theorem ωb_mul_ω (q : ℕ+) : (ωb : X q) * ω = 1 := by
rw [mul_comm, ω_mul_ωb]
/-- A closed form for the recurrence relation. -/
theorem closed_form (i : ℕ) : (s i : X q) = (ω : X q) ^ 2 ^ i + (ωb : X q) ^ 2 ^ i := by
induction i with
| zero =>
dsimp [s, ω, ωb]
ext <;> norm_num
| succ i ih =>
calc
(s (i + 1) : X q) = (s i ^ 2 - 2 : ℤ) := rfl
_ = (s i : X q) ^ 2 - 2 := by push_cast; rfl
_ = (ω ^ 2 ^ i + ωb ^ 2 ^ i) ^ 2 - 2 := by rw [ih]
_ = (ω ^ 2 ^ i) ^ 2 + (ωb ^ 2 ^ i) ^ 2 + 2 * (ωb ^ 2 ^ i * ω ^ 2 ^ i) - 2 := by ring
_ = (ω ^ 2 ^ i) ^ 2 + (ωb ^ 2 ^ i) ^ 2 := by
rw [← mul_pow ωb ω, ωb_mul_ω, one_pow, mul_one, add_sub_cancel_right]
_ = ω ^ 2 ^ (i + 1) + ωb ^ 2 ^ (i + 1) := by rw [← pow_mul, ← pow_mul, _root_.pow_succ]
end X
open X
/-!
Here and below, we introduce `p' = p - 2`, in order to avoid using subtraction in `ℕ`.
-/
/-- If `1 < p`, then `q p`, the smallest prime factor of `mersenne p`, is more than 2. -/
theorem two_lt_q (p' : ℕ) : 2 < q (p' + 2) := by
refine (minFac_prime (one_lt_mersenne.2 ?_).ne').two_le.lt_of_ne' ?_
· exact le_add_left _ _
· rw [Ne, minFac_eq_two_iff, mersenne, Nat.pow_succ']
exact Nat.two_not_dvd_two_mul_sub_one Nat.one_le_two_pow
theorem ω_pow_formula (p' : ℕ) (h : lucasLehmerResidue (p' + 2) = 0) :
∃ k : ℤ,
(ω : X (q (p' + 2))) ^ 2 ^ (p' + 1) =
k * mersenne (p' + 2) * (ω : X (q (p' + 2))) ^ 2 ^ p' - 1 := by
dsimp [lucasLehmerResidue] at h
rw [sZMod_eq_s p'] at h
simp? [ZMod.intCast_zmod_eq_zero_iff_dvd] at h says
simp only [add_tsub_cancel_right, ZMod.intCast_zmod_eq_zero_iff_dvd, ofNat_pos,
pow_pos, cast_pred, cast_pow, cast_ofNat] at h
obtain ⟨k, h⟩ := h
use k
replace h := congr_arg (fun n : ℤ => (n : X (q (p' + 2)))) h
-- coercion from ℤ to X q
dsimp at h
rw [closed_form] at h
replace h := congr_arg (fun x => ω ^ 2 ^ p' * x) h
dsimp at h
have t : 2 ^ p' + 2 ^ p' = 2 ^ (p' + 1) := by ring
rw [mul_add, ← pow_add ω, t, ← mul_pow ω ωb (2 ^ p'), ω_mul_ωb, one_pow] at h
rw [mul_comm, coe_mul] at h
rw [mul_comm _ (k : X (q (p' + 2)))] at h
replace h := eq_sub_of_add_eq h
have : 1 ≤ 2 ^ (p' + 2) := Nat.one_le_pow _ _ (by decide)
exact mod_cast h
/-- `q` is the minimum factor of `mersenne p`, so `M p = 0` in `X q`. -/
theorem mersenne_coe_X (p : ℕ) : (mersenne p : X (q p)) = 0 := by
ext <;> simp [mersenne, q, ZMod.natCast_zmod_eq_zero_iff_dvd, -pow_pos]
apply Nat.minFac_dvd
theorem ω_pow_eq_neg_one (p' : ℕ) (h : lucasLehmerResidue (p' + 2) = 0) :
(ω : X (q (p' + 2))) ^ 2 ^ (p' + 1) = -1 := by
obtain ⟨k, w⟩ := ω_pow_formula p' h
rw [mersenne_coe_X] at w
simpa using w
theorem ω_pow_eq_one (p' : ℕ) (h : lucasLehmerResidue (p' + 2) = 0) :
(ω : X (q (p' + 2))) ^ 2 ^ (p' + 2) = 1 :=
calc
(ω : X (q (p' + 2))) ^ 2 ^ (p' + 2) = (ω ^ 2 ^ (p' + 1)) ^ 2 := by
rw [← pow_mul, ← Nat.pow_succ]
_ = (-1) ^ 2 := by rw [ω_pow_eq_neg_one p' h]
_ = 1 := by simp
/-- `ω` as an element of the group of units. -/
def ωUnit (p : ℕ) : Units (X (q p)) where
val := ω
inv := ωb
val_inv := ω_mul_ωb _
inv_val := ωb_mul_ω _
@[simp]
theorem ωUnit_coe (p : ℕ) : (ωUnit p : X (q p)) = ω :=
rfl
/-- The order of `ω` in the unit group is exactly `2^p`. -/
theorem order_ω (p' : ℕ) (h : lucasLehmerResidue (p' + 2) = 0) :
orderOf (ωUnit (p' + 2)) = 2 ^ (p' + 2) := by
apply Nat.eq_prime_pow_of_dvd_least_prime_pow
-- the order of ω divides 2^p
· exact Nat.prime_two
· intro o
have ω_pow := orderOf_dvd_iff_pow_eq_one.1 o
replace ω_pow :=
congr_arg (Units.coeHom (X (q (p' + 2))) : Units (X (q (p' + 2))) → X (q (p' + 2))) ω_pow
simp? at ω_pow says
simp only [Units.coeHom_apply, Units.val_pow_eq_pow_val, ωUnit_coe, Units.val_one] at ω_pow
have h : (1 : ZMod (q (p' + 2))) = -1 :=
congr_arg Prod.fst (ω_pow.symm.trans (ω_pow_eq_neg_one p' h))
haveI : Fact (2 < (q (p' + 2) : ℕ)) := ⟨two_lt_q _⟩
apply ZMod.neg_one_ne_one h.symm
· apply orderOf_dvd_iff_pow_eq_one.2
apply Units.ext
push_cast
exact ω_pow_eq_one p' h
theorem order_ineq (p' : ℕ) (h : lucasLehmerResidue (p' + 2) = 0) :
2 ^ (p' + 2) < (q (p' + 2) : ℕ) ^ 2 :=
calc
2 ^ (p' + 2) = orderOf (ωUnit (p' + 2)) := (order_ω p' h).symm
_ ≤ Fintype.card (X (q (p' + 2)))ˣ := orderOf_le_card_univ
_ < (q (p' + 2) : ℕ) ^ 2 := card_units_lt (Nat.lt_of_succ_lt (two_lt_q _))
end LucasLehmer
export LucasLehmer (LucasLehmerTest lucasLehmerResidue)
open LucasLehmer
theorem lucas_lehmer_sufficiency (p : ℕ) (w : 1 < p) : LucasLehmerTest p → (mersenne p).Prime := by
let p' := p - 2
have z : p = p' + 2 := (tsub_eq_iff_eq_add_of_le w.nat_succ_le).mp rfl
have w : 1 < p' + 2 := Nat.lt_of_sub_eq_succ rfl
contrapose
intro a t
rw [z] at a
rw [z] at t
have h₁ := order_ineq p' t
have h₂ := Nat.minFac_sq_le_self (mersenne_pos.2 (Nat.lt_of_succ_lt w)) a
have h := lt_of_lt_of_le h₁ h₂
exact not_lt_of_ge (Nat.sub_le _ _) h
namespace LucasLehmer
/-!
### `norm_num` extension
Next we define a `norm_num` extension that calculates `LucasLehmerTest p` for `1 < p`.
It makes use of a version of `sMod` that is specifically written to be reducible by the
Lean 4 kernel, which has the capability of efficiently reducing natural number expressions.
With this reduction in hand, it's a simple matter of applying the lemma
`LucasLehmer.residue_eq_zero_iff_sMod_eq_zero`.
See [Archive/Examples/MersennePrimes.lean] for certifications of all Mersenne primes
up through `mersenne 4423`.
-/
namespace norm_num_ext
open Qq Lean Elab.Tactic Mathlib.Meta.NormNum
/-- Version of `sMod` that is `ℕ`-valued. One should have `q = 2 ^ p - 1`.
This can be reduced by the kernel. -/
def sModNat (q : ℕ) : ℕ → ℕ
| 0 => 4 % q
| i + 1 => (sModNat q i ^ 2 + (q - 2)) % q
theorem sModNat_eq_sMod (p k : ℕ) (hp : 2 ≤ p) : (sModNat (2 ^ p - 1) k : ℤ) = sMod p k := by
have h1 := calc
4 = 2 ^ 2 := by norm_num
_ ≤ 2 ^ p := Nat.pow_le_pow_right (by norm_num) hp
have h2 : 1 ≤ 2 ^ p := by omega
induction k with
| zero =>
rw [sModNat, sMod, Int.natCast_emod]
simp [h2]
| succ k ih =>
rw [sModNat, sMod, ← ih]
have h3 : 2 ≤ 2 ^ p - 1 := by
zify [h2]
calc
(2 : Int) ≤ 4 - 1 := by norm_num
_ ≤ 2 ^ p - 1 := by zify at h1; exact Int.sub_le_sub_right h1 _
zify [h2, h3]
rw [← add_sub_assoc, sub_eq_add_neg, add_assoc, add_comm _ (-2), ← add_assoc,
Int.add_emod_right, ← sub_eq_add_neg]
/-- Tail-recursive version of `sModNat`. -/
def sModNatTR (q : ℕ) (k : Nat) : ℕ :=
go k (4 % q)
where
/-- Helper function for `sMod''`. -/
go : ℕ → ℕ → ℕ
| 0, acc => acc
| | n + 1, acc => go n ((acc ^ 2 + (q - 2)) % q)
/--
Generalization of `sModNat` with arbitrary base case,
useful for proving `sModNatTR` and `sModNat` agree.
-/
def sModNat_aux (b : ℕ) (q : ℕ) : ℕ → ℕ
| 0 => b
| i + 1 => (sModNat_aux b q i ^ 2 + (q - 2)) % q
theorem sModNat_aux_eq (q k : ℕ) : sModNat_aux (4 % q) q k = sModNat q k := by
induction k with
| zero => rfl
| succ k ih => rw [sModNat_aux, ih, sModNat, ← ih]
theorem sModNatTR_eq_sModNat (q : ℕ) (i : ℕ) : sModNatTR q i = sModNat q i := by
rw [sModNatTR, helper, sModNat_aux_eq]
where
| Mathlib/NumberTheory/LucasLehmer.lean | 527 | 544 |
/-
Copyright (c) 2021 Sébastien Gouëzel. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Johannes Hölzl, Yury Kudryashov, Sébastien Gouëzel
-/
import Mathlib.MeasureTheory.Constructions.BorelSpace.Order
import Mathlib.MeasureTheory.Measure.Typeclasses.Probability
import Mathlib.Topology.Algebra.UniformMulAction
import Mathlib.Topology.Order.LeftRightLim
/-!
# Stieltjes measures on the real line
Consider a function `f : ℝ → ℝ` which is monotone and right-continuous. Then one can define a
corresponding measure, giving mass `f b - f a` to the interval `(a, b]`.
## Main definitions
* `StieltjesFunction` is a structure containing a function from `ℝ → ℝ`, together with the
assertions that it is monotone and right-continuous. To `f : StieltjesFunction`, one associates
a Borel measure `f.measure`.
* `f.measure_Ioc` asserts that `f.measure (Ioc a b) = ofReal (f b - f a)`
* `f.measure_Ioo` asserts that `f.measure (Ioo a b) = ofReal (leftLim f b - f a)`.
* `f.measure_Icc` and `f.measure_Ico` are analogous.
-/
noncomputable section
open Set Filter Function ENNReal NNReal Topology MeasureTheory
open ENNReal (ofReal)
/-! ### Basic properties of Stieltjes functions -/
/-- Bundled monotone right-continuous real functions, used to construct Stieltjes measures. -/
structure StieltjesFunction where
toFun : ℝ → ℝ
mono' : Monotone toFun
right_continuous' : ∀ x, ContinuousWithinAt toFun (Ici x) x
namespace StieltjesFunction
attribute [coe] toFun
instance instCoeFun : CoeFun StieltjesFunction fun _ => ℝ → ℝ :=
⟨toFun⟩
initialize_simps_projections StieltjesFunction (toFun → apply)
@[ext] lemma ext {f g : StieltjesFunction} (h : ∀ x, f x = g x) : f = g := by
exact (StieltjesFunction.mk.injEq ..).mpr (funext h)
variable (f : StieltjesFunction)
theorem mono : Monotone f :=
f.mono'
theorem right_continuous (x : ℝ) : ContinuousWithinAt f (Ici x) x :=
f.right_continuous' x
theorem rightLim_eq (f : StieltjesFunction) (x : ℝ) : Function.rightLim f x = f x := by
rw [← f.mono.continuousWithinAt_Ioi_iff_rightLim_eq, continuousWithinAt_Ioi_iff_Ici]
exact f.right_continuous' x
theorem iInf_Ioi_eq (f : StieltjesFunction) (x : ℝ) : ⨅ r : Ioi x, f r = f x := by
suffices Function.rightLim f x = ⨅ r : Ioi x, f r by rw [← this, f.rightLim_eq]
rw [f.mono.rightLim_eq_sInf, sInf_image']
rw [← neBot_iff]
infer_instance
theorem iInf_rat_gt_eq (f : StieltjesFunction) (x : ℝ) :
⨅ r : { r' : ℚ // x < r' }, f r = f x := by
rw [← iInf_Ioi_eq f x]
refine (Real.iInf_Ioi_eq_iInf_rat_gt _ ?_ f.mono).symm
refine ⟨f x, fun y => ?_⟩
rintro ⟨y, hy_mem, rfl⟩
exact f.mono (le_of_lt hy_mem)
/-- The identity of `ℝ` as a Stieltjes function, used to construct Lebesgue measure. -/
@[simps]
protected def id : StieltjesFunction where
toFun := id
mono' _ _ := id
right_continuous' _ := continuousWithinAt_id
@[simp]
theorem id_leftLim (x : ℝ) : leftLim StieltjesFunction.id x = x :=
tendsto_nhds_unique (StieltjesFunction.id.mono.tendsto_leftLim x) <|
continuousAt_id.tendsto.mono_left nhdsWithin_le_nhds
instance instInhabited : Inhabited StieltjesFunction :=
⟨StieltjesFunction.id⟩
/-- Constant functions are Stieltjes function. -/
protected def const (c : ℝ) : StieltjesFunction where
toFun := fun _ ↦ c
mono' _ _ := by simp
right_continuous' _ := continuousWithinAt_const
@[simp] lemma const_apply (c x : ℝ) : (StieltjesFunction.const c) x = c := rfl
/-- The sum of two Stieltjes functions is a Stieltjes function. -/
protected def add (f g : StieltjesFunction) : StieltjesFunction where
toFun := fun x => f x + g x
mono' := f.mono.add g.mono
right_continuous' := fun x => (f.right_continuous x).add (g.right_continuous x)
instance : AddZeroClass StieltjesFunction where
add := StieltjesFunction.add
zero := StieltjesFunction.const 0
zero_add _ := ext fun _ ↦ zero_add _
add_zero _ := ext fun _ ↦ add_zero _
instance : AddCommMonoid StieltjesFunction where
nsmul n f := nsmulRec n f
add_assoc _ _ _ := ext fun _ ↦ add_assoc _ _ _
add_comm _ _ := ext fun _ ↦ add_comm _ _
__ := StieltjesFunction.instAddZeroClass
instance : Module ℝ≥0 StieltjesFunction where
smul c f := {
toFun := fun x ↦ c * f x
mono' := f.mono.const_mul c.2
right_continuous' := fun x ↦ (f.right_continuous x).const_smul c.1}
one_smul _ := ext fun _ ↦ one_mul _
mul_smul _ _ _ := ext fun _ ↦ mul_assoc _ _ _
smul_zero _ := ext fun _ ↦ mul_zero _
smul_add _ _ _ := ext fun _ ↦ mul_add _ _ _
add_smul _ _ _ := ext fun _ ↦ add_mul _ _ _
zero_smul _ := ext fun _ ↦ zero_mul _
@[simp] lemma zero_apply (x : ℝ) : (0 : StieltjesFunction) x = 0 := rfl
@[simp] lemma add_apply (f g : StieltjesFunction) (x : ℝ) : (f + g) x = f x + g x := rfl
/-- If a function `f : ℝ → ℝ` is monotone, then the function mapping `x` to the right limit of `f`
at `x` is a Stieltjes function, i.e., it is monotone and right-continuous. -/
noncomputable def _root_.Monotone.stieltjesFunction {f : ℝ → ℝ} (hf : Monotone f) :
StieltjesFunction where
toFun := rightLim f
mono' _ _ hxy := hf.rightLim hxy
right_continuous' := by
intro x s hs
obtain ⟨l, u, hlu, lus⟩ : ∃ l u : ℝ, rightLim f x ∈ Ioo l u ∧ Ioo l u ⊆ s :=
mem_nhds_iff_exists_Ioo_subset.1 hs
obtain ⟨y, xy, h'y⟩ : ∃ (y : ℝ), x < y ∧ Ioc x y ⊆ f ⁻¹' Ioo l u :=
mem_nhdsGT_iff_exists_Ioc_subset.1 (hf.tendsto_rightLim x (Ioo_mem_nhds hlu.1 hlu.2))
change ∀ᶠ y in 𝓝[≥] x, rightLim f y ∈ s
filter_upwards [Ico_mem_nhdsGE xy] with z hz
apply lus
refine ⟨hlu.1.trans_le (hf.rightLim hz.1), ?_⟩
obtain ⟨a, za, ay⟩ : ∃ a : ℝ, z < a ∧ a < y := exists_between hz.2
calc
rightLim f z ≤ f a := hf.rightLim_le za
_ < u := (h'y ⟨hz.1.trans_lt za, ay.le⟩).2
theorem _root_.Monotone.stieltjesFunction_eq {f : ℝ → ℝ} (hf : Monotone f) (x : ℝ) :
hf.stieltjesFunction x = rightLim f x :=
rfl
theorem countable_leftLim_ne (f : StieltjesFunction) : Set.Countable { x | leftLim f x ≠ f x } := by
refine Countable.mono ?_ f.mono.countable_not_continuousAt
intro x hx h'x
apply hx
exact tendsto_nhds_unique (f.mono.tendsto_leftLim x) (h'x.tendsto.mono_left nhdsWithin_le_nhds)
/-! ### The outer measure associated to a Stieltjes function -/
/-- Length of an interval. This is the largest monotone function which correctly measures all
intervals. -/
def length (s : Set ℝ) : ℝ≥0∞ :=
⨅ (a) (b) (_ : s ⊆ Ioc a b), ofReal (f b - f a)
@[simp]
theorem length_empty : f.length ∅ = 0 :=
nonpos_iff_eq_zero.1 <| iInf_le_of_le 0 <| iInf_le_of_le 0 <| by simp
@[simp]
theorem length_Ioc (a b : ℝ) : f.length (Ioc a b) = ofReal (f b - f a) := by
refine
le_antisymm (iInf_le_of_le a <| iInf₂_le b Subset.rfl)
(le_iInf fun a' => le_iInf fun b' => le_iInf fun h => ENNReal.coe_le_coe.2 ?_)
rcases le_or_lt b a with ab | ab
· rw [Real.toNNReal_of_nonpos (sub_nonpos.2 (f.mono ab))]
apply zero_le
obtain ⟨h₁, h₂⟩ := (Ioc_subset_Ioc_iff ab).1 h
exact Real.toNNReal_le_toNNReal (sub_le_sub (f.mono h₁) (f.mono h₂))
theorem length_mono {s₁ s₂ : Set ℝ} (h : s₁ ⊆ s₂) : f.length s₁ ≤ f.length s₂ :=
iInf_mono fun _ => biInf_mono fun _ => h.trans
open MeasureTheory
/-- The Stieltjes outer measure associated to a Stieltjes function. -/
protected def outer : OuterMeasure ℝ :=
OuterMeasure.ofFunction f.length f.length_empty
theorem outer_le_length (s : Set ℝ) : f.outer s ≤ f.length s :=
OuterMeasure.ofFunction_le _
/-- If a compact interval `[a, b]` is covered by a union of open interval `(c i, d i)`, then
`f b - f a ≤ ∑ f (d i) - f (c i)`. This is an auxiliary technical statement to prove the same
statement for half-open intervals, the point of the current statement being that one can use
compactness to reduce it to a finite sum, and argue by induction on the size of the covering set. -/
theorem length_subadditive_Icc_Ioo {a b : ℝ} {c d : ℕ → ℝ} (ss : Icc a b ⊆ ⋃ i, Ioo (c i) (d i)) :
ofReal (f b - f a) ≤ ∑' i, ofReal (f (d i) - f (c i)) := by
suffices
∀ (s : Finset ℕ) (b), Icc a b ⊆ (⋃ i ∈ (s : Set ℕ), Ioo (c i) (d i)) →
(ofReal (f b - f a) : ℝ≥0∞) ≤ ∑ i ∈ s, ofReal (f (d i) - f (c i)) by
rcases isCompact_Icc.elim_finite_subcover_image
(fun (i : ℕ) (_ : i ∈ univ) => @isOpen_Ioo _ _ _ _ (c i) (d i)) (by simpa using ss) with
⟨s, _, hf, hs⟩
have e : ⋃ i ∈ (hf.toFinset : Set ℕ), Ioo (c i) (d i) = ⋃ i ∈ s, Ioo (c i) (d i) := by
simp only [Set.ext_iff, exists_prop, Finset.set_biUnion_coe, mem_iUnion, forall_const,
Finite.mem_toFinset]
rw [ENNReal.tsum_eq_iSup_sum]
refine le_trans ?_ (le_iSup _ hf.toFinset)
exact this hf.toFinset _ (by simpa only [e] )
clear ss b
refine fun s => Finset.strongInductionOn s fun s IH b cv => ?_
rcases le_total b a with ab | ab
· rw [ENNReal.ofReal_eq_zero.2 (sub_nonpos.2 (f.mono ab))]
exact zero_le _
have := cv ⟨ab, le_rfl⟩
simp only [Finset.mem_coe, gt_iff_lt, not_lt, mem_iUnion, mem_Ioo, exists_and_left,
exists_prop] at this
rcases this with ⟨i, cb, is, bd⟩
rw [← Finset.insert_erase is] at cv ⊢
rw [Finset.coe_insert, biUnion_insert] at cv
rw [Finset.sum_insert (Finset.not_mem_erase _ _)]
refine le_trans ?_ (add_le_add_left (IH _ (Finset.erase_ssubset is) (c i) ?_) _)
· refine le_trans (ENNReal.ofReal_le_ofReal ?_) ENNReal.ofReal_add_le
rw [sub_add_sub_cancel]
exact sub_le_sub_right (f.mono bd.le) _
· rintro x ⟨h₁, h₂⟩
exact (cv ⟨h₁, le_trans h₂ (le_of_lt cb)⟩).resolve_left (mt And.left (not_lt_of_le h₂))
@[simp]
theorem outer_Ioc (a b : ℝ) : f.outer (Ioc a b) = ofReal (f b - f a) := by
/- It suffices to show that, if `(a, b]` is covered by sets `s i`, then `f b - f a` is bounded
by `∑ f.length (s i) + ε`. The difficulty is that `f.length` is expressed in terms of half-open
intervals, while we would like to have a compact interval covered by open intervals to use
compactness and finite sums, as provided by `length_subadditive_Icc_Ioo`. The trick is to use
the right-continuity of `f`. If `a'` is close enough to `a` on its right, then `[a', b]` is
still covered by the sets `s i` and moreover `f b - f a'` is very close to `f b - f a`
(up to `ε/2`).
Also, by definition one can cover `s i` by a half-closed interval `(p i, q i]` with `f`-length
very close to that of `s i` (within a suitably small `ε' i`, say). If one moves `q i` very
slightly to the right, then the `f`-length will change very little by right continuity, and we
will get an open interval `(p i, q' i)` covering `s i` with `f (q' i) - f (p i)` within `ε' i`
of the `f`-length of `s i`. -/
refine
le_antisymm
(by
rw [← f.length_Ioc]
apply outer_le_length)
(le_iInf₂ fun s hs => ENNReal.le_of_forall_pos_le_add fun ε εpos h => ?_)
let δ := ε / 2
have δpos : 0 < (δ : ℝ≥0∞) := by simpa [δ] using εpos.ne'
rcases ENNReal.exists_pos_sum_of_countable δpos.ne' ℕ with ⟨ε', ε'0, hε⟩
obtain ⟨a', ha', aa'⟩ : ∃ a', f a' - f a < δ ∧ a < a' := by
have A : ContinuousWithinAt (fun r => f r - f a) (Ioi a) a := by
refine ContinuousWithinAt.sub ?_ continuousWithinAt_const
exact (f.right_continuous a).mono Ioi_subset_Ici_self
have B : f a - f a < δ := by rwa [sub_self, NNReal.coe_pos, ← ENNReal.coe_pos]
exact (((tendsto_order.1 A).2 _ B).and self_mem_nhdsWithin).exists
have : ∀ i, ∃ p : ℝ × ℝ, s i ⊆ Ioo p.1 p.2 ∧
(ofReal (f p.2 - f p.1) : ℝ≥0∞) < f.length (s i) + ε' i := by
intro i
have hl :=
ENNReal.lt_add_right ((ENNReal.le_tsum i).trans_lt h).ne (ENNReal.coe_ne_zero.2 (ε'0 i).ne')
conv at hl =>
lhs
rw [length]
simp only [iInf_lt_iff, exists_prop] at hl
rcases hl with ⟨p, q', spq, hq'⟩
have : ContinuousWithinAt (fun r => ofReal (f r - f p)) (Ioi q') q' := by
apply ENNReal.continuous_ofReal.continuousAt.comp_continuousWithinAt
refine ContinuousWithinAt.sub ?_ continuousWithinAt_const
exact (f.right_continuous q').mono Ioi_subset_Ici_self
rcases (((tendsto_order.1 this).2 _ hq').and self_mem_nhdsWithin).exists with ⟨q, hq, q'q⟩
exact ⟨⟨p, q⟩, spq.trans (Ioc_subset_Ioo_right q'q), hq⟩
choose g hg using this
have I_subset : Icc a' b ⊆ ⋃ i, Ioo (g i).1 (g i).2 :=
calc
Icc a' b ⊆ Ioc a b := fun x hx => ⟨aa'.trans_le hx.1, hx.2⟩
_ ⊆ ⋃ i, s i := hs
_ ⊆ ⋃ i, Ioo (g i).1 (g i).2 := iUnion_mono fun i => (hg i).1
calc
ofReal (f b - f a) = ofReal (f b - f a' + (f a' - f a)) := by rw [sub_add_sub_cancel]
_ ≤ ofReal (f b - f a') + ofReal (f a' - f a) := ENNReal.ofReal_add_le
_ ≤ ∑' i, ofReal (f (g i).2 - f (g i).1) + ofReal δ :=
(add_le_add (f.length_subadditive_Icc_Ioo I_subset) (ENNReal.ofReal_le_ofReal ha'.le))
_ ≤ ∑' i, (f.length (s i) + ε' i) + δ :=
(add_le_add (ENNReal.tsum_le_tsum fun i => (hg i).2.le)
(by simp only [ENNReal.ofReal_coe_nnreal, le_rfl]))
_ = ∑' i, f.length (s i) + ∑' i, (ε' i : ℝ≥0∞) + δ := by rw [ENNReal.tsum_add]
_ ≤ ∑' i, f.length (s i) + δ + δ := add_le_add (add_le_add le_rfl hε.le) le_rfl
_ = ∑' i : ℕ, f.length (s i) + ε := by simp [δ, add_assoc, ENNReal.add_halves]
theorem measurableSet_Ioi {c : ℝ} : MeasurableSet[f.outer.caratheodory] (Ioi c) := by
refine OuterMeasure.ofFunction_caratheodory fun t => ?_
refine le_iInf fun a => le_iInf fun b => le_iInf fun h => ?_
refine
le_trans
(add_le_add (f.length_mono <| inter_subset_inter_left _ h)
(f.length_mono <| diff_subset_diff_left h)) ?_
rcases le_total a c with hac | hac <;> rcases le_total b c with hbc | hbc
· simp only [Ioc_inter_Ioi, f.length_Ioc, hac, hbc, le_refl, Ioc_eq_empty,
max_eq_right, min_eq_left, Ioc_diff_Ioi, f.length_empty, zero_add, not_lt]
· simp only [hac, hbc, Ioc_inter_Ioi, Ioc_diff_Ioi, f.length_Ioc, min_eq_right,
← ENNReal.ofReal_add, f.mono hac, f.mono hbc, sub_nonneg,
sub_add_sub_cancel, le_refl,
max_eq_right]
· simp only [hbc, le_refl, Ioc_eq_empty, Ioc_inter_Ioi, min_eq_left, Ioc_diff_Ioi, f.length_empty,
zero_add, or_true, le_sup_iff, f.length_Ioc, not_lt]
· simp only [hac, hbc, Ioc_inter_Ioi, Ioc_diff_Ioi, f.length_Ioc, min_eq_right,
le_refl, Ioc_eq_empty, add_zero, max_eq_left, f.length_empty, not_lt]
theorem outer_trim : f.outer.trim = f.outer := by
refine le_antisymm (fun s => ?_) (OuterMeasure.le_trim _)
rw [OuterMeasure.trim_eq_iInf]
refine le_iInf fun t => le_iInf fun ht => ENNReal.le_of_forall_pos_le_add fun ε ε0 h => ?_
rcases ENNReal.exists_pos_sum_of_countable (ENNReal.coe_pos.2 ε0).ne' ℕ with ⟨ε', ε'0, hε⟩
refine le_trans ?_ (add_le_add_left (le_of_lt hε) _)
rw [← ENNReal.tsum_add]
choose g hg using
show ∀ i, ∃ s, t i ⊆ s ∧ MeasurableSet s ∧ f.outer s ≤ f.length (t i) + ofReal (ε' i) by
intro i
have hl :=
ENNReal.lt_add_right ((ENNReal.le_tsum i).trans_lt h).ne (ENNReal.coe_pos.2 (ε'0 i)).ne'
conv at hl =>
lhs
rw [length]
simp only [iInf_lt_iff] at hl
rcases hl with ⟨a, b, h₁, h₂⟩
rw [← f.outer_Ioc] at h₂
exact ⟨_, h₁, measurableSet_Ioc, le_of_lt <| by simpa using h₂⟩
simp only [ofReal_coe_nnreal] at hg
apply iInf_le_of_le (iUnion g) _
apply iInf_le_of_le (ht.trans <| iUnion_mono fun i => (hg i).1) _
apply iInf_le_of_le (MeasurableSet.iUnion fun i => (hg i).2.1) _
exact le_trans (measure_iUnion_le _) (ENNReal.tsum_le_tsum fun i => (hg i).2.2)
theorem borel_le_measurable : borel ℝ ≤ f.outer.caratheodory := by
rw [borel_eq_generateFrom_Ioi]
refine MeasurableSpace.generateFrom_le ?_
simp +contextual [f.measurableSet_Ioi]
/-! ### The measure associated to a Stieltjes function -/
/-- The measure associated to a Stieltjes function, giving mass `f b - f a` to the
interval `(a, b]`. -/
protected irreducible_def measure : Measure ℝ where
toOuterMeasure := f.outer
m_iUnion _s hs := f.outer.iUnion_eq_of_caratheodory fun i => f.borel_le_measurable _ (hs i)
trim_le := f.outer_trim.le
@[simp]
theorem measure_Ioc (a b : ℝ) : f.measure (Ioc a b) = ofReal (f b - f a) := by
rw [StieltjesFunction.measure]
exact f.outer_Ioc a b
@[simp]
theorem measure_singleton (a : ℝ) : f.measure {a} = ofReal (f a - leftLim f a) := by
obtain ⟨u, u_mono, u_lt_a, u_lim⟩ :
∃ u : ℕ → ℝ, StrictMono u ∧ (∀ n : ℕ, u n < a) ∧ Tendsto u atTop (𝓝 a) :=
exists_seq_strictMono_tendsto a
have A : {a} = ⋂ n, Ioc (u n) a := by
refine Subset.antisymm (fun x hx => by simp [mem_singleton_iff.1 hx, u_lt_a]) fun x hx => ?_
simp? at hx says simp only [mem_iInter, mem_Ioc] at hx
have : a ≤ x := le_of_tendsto' u_lim fun n => (hx n).1.le
simp [le_antisymm this (hx 0).2]
have L1 : Tendsto (fun n => f.measure (Ioc (u n) a)) atTop (𝓝 (f.measure {a})) := by
rw [A]
refine tendsto_measure_iInter_atTop (fun n => nullMeasurableSet_Ioc)
(fun m n hmn => ?_) ?_
· exact Ioc_subset_Ioc_left (u_mono.monotone hmn)
· exact ⟨0, by simpa only [measure_Ioc] using ENNReal.ofReal_ne_top⟩
have L2 :
Tendsto (fun n => f.measure (Ioc (u n) a)) atTop (𝓝 (ofReal (f a - leftLim f a))) := by
simp only [measure_Ioc]
have : Tendsto (fun n => f (u n)) atTop (𝓝 (leftLim f a)) := by
apply (f.mono.tendsto_leftLim a).comp
exact
tendsto_nhdsWithin_of_tendsto_nhds_of_eventually_within _ u_lim
(Eventually.of_forall fun n => u_lt_a n)
exact ENNReal.continuous_ofReal.continuousAt.tendsto.comp (tendsto_const_nhds.sub this)
exact tendsto_nhds_unique L1 L2
@[simp]
theorem measure_Icc (a b : ℝ) : f.measure (Icc a b) = ofReal (f b - leftLim f a) := by
rcases le_or_lt a b with (hab | hab)
· have A : Disjoint {a} (Ioc a b) := by simp
simp [← Icc_union_Ioc_eq_Icc le_rfl hab, -singleton_union, ← ENNReal.ofReal_add,
f.mono.leftLim_le, measure_union A measurableSet_Ioc, f.mono hab]
· simp only [hab, measure_empty, Icc_eq_empty, not_le]
symm
simp [ENNReal.ofReal_eq_zero, f.mono.le_leftLim hab]
@[simp]
theorem measure_Ioo {a b : ℝ} : f.measure (Ioo a b) = ofReal (leftLim f b - f a) := by
rcases le_or_lt b a with (hab | hab)
· simp only [hab, measure_empty, Ioo_eq_empty, not_lt]
symm
simp [ENNReal.ofReal_eq_zero, f.mono.leftLim_le hab]
· have A : Disjoint (Ioo a b) {b} := by simp
have D : f b - f a = f b - leftLim f b + (leftLim f b - f a) := by abel
have := f.measure_Ioc a b
simp only [← Ioo_union_Icc_eq_Ioc hab le_rfl, measure_singleton,
measure_union A (measurableSet_singleton b), Icc_self] at this
rw [D, ENNReal.ofReal_add, add_comm] at this
· simpa only [ENNReal.add_right_inj ENNReal.ofReal_ne_top]
· simp only [f.mono.leftLim_le le_rfl, sub_nonneg]
· simp only [f.mono.le_leftLim hab, sub_nonneg]
@[simp]
theorem measure_Ico (a b : ℝ) : f.measure (Ico a b) = ofReal (leftLim f b - leftLim f a) := by
rcases le_or_lt b a with (hab | hab)
· simp only [hab, measure_empty, Ico_eq_empty, not_lt]
symm
simp [ENNReal.ofReal_eq_zero, f.mono.leftLim hab]
· have A : Disjoint {a} (Ioo a b) := by simp
simp [← Icc_union_Ioo_eq_Ico le_rfl hab, -singleton_union, hab.ne, f.mono.leftLim_le,
measure_union A measurableSet_Ioo, f.mono.le_leftLim hab, ← ENNReal.ofReal_add]
theorem measure_Iic {l : ℝ} (hf : Tendsto f atBot (𝓝 l)) (x : ℝ) :
f.measure (Iic x) = ofReal (f x - l) := by
refine tendsto_nhds_unique (tendsto_measure_Ioc_atBot _ _) ?_
simp_rw [measure_Ioc]
exact ENNReal.tendsto_ofReal (Tendsto.const_sub _ hf)
lemma measure_Iio {l : ℝ} (hf : Tendsto f atBot (𝓝 l)) (x : ℝ) :
f.measure (Iio x) = ofReal (leftLim f x - l) := by
rw [← Iic_diff_right, measure_diff _ (nullMeasurableSet_singleton x), measure_singleton,
f.measure_Iic hf, ← ofReal_sub _ (sub_nonneg.mpr <| Monotone.leftLim_le f.mono' le_rfl)]
<;> simp
theorem measure_Ici {l : ℝ} (hf : Tendsto f atTop (𝓝 l)) (x : ℝ) :
f.measure (Ici x) = ofReal (l - leftLim f x) := by
refine tendsto_nhds_unique (tendsto_measure_Ico_atTop _ _) ?_
simp_rw [measure_Ico]
refine ENNReal.tendsto_ofReal (Tendsto.sub_const ?_ _)
have h_le1 : ∀ x, f (x - 1) ≤ leftLim f x := fun x => Monotone.le_leftLim f.mono (sub_one_lt x)
have h_le2 : ∀ x, leftLim f x ≤ f x := fun x => Monotone.leftLim_le f.mono le_rfl
refine tendsto_of_tendsto_of_tendsto_of_le_of_le (hf.comp ?_) hf h_le1 h_le2
rw [tendsto_atTop_atTop]
exact fun y => ⟨y + 1, fun z hyz => by rwa [le_sub_iff_add_le]⟩
lemma measure_Ioi {l : ℝ} (hf : Tendsto f atTop (𝓝 l)) (x : ℝ) :
f.measure (Ioi x) = ofReal (l - f x) := by
rw [← Ici_diff_left, measure_diff _ (nullMeasurableSet_singleton x), measure_singleton,
f.measure_Ici hf, ← ofReal_sub _ (sub_nonneg.mpr <| Monotone.leftLim_le f.mono' le_rfl)]
<;> simp
lemma measure_Ioi_of_tendsto_atTop_atTop (hf : Tendsto f atTop atTop) (x : ℝ) :
f.measure (Ioi x) = ∞ := by
refine ENNReal.eq_top_of_forall_nnreal_le fun r ↦ ?_
obtain ⟨N, hN⟩ := eventually_atTop.mp (tendsto_atTop.mp hf (r + f x))
exact (f.measure_Ioc x (max x N) ▸ ENNReal.coe_nnreal_eq r ▸ (ENNReal.ofReal_le_ofReal <|
le_tsub_of_add_le_right <| hN _ (le_max_right x N))).trans (measure_mono Ioc_subset_Ioi_self)
lemma measure_Ici_of_tendsto_atTop_atTop (hf : Tendsto f atTop atTop) (x : ℝ) :
f.measure (Ici x) = ∞ := by
rw [← top_le_iff, ← f.measure_Ioi_of_tendsto_atTop_atTop hf x]
exact measure_mono Ioi_subset_Ici_self
lemma measure_Iic_of_tendsto_atBot_atBot (hf : Tendsto f atBot atBot) (x : ℝ) :
f.measure (Iic x) = ∞ := by
refine ENNReal.eq_top_of_forall_nnreal_le fun r ↦ ?_
obtain ⟨N, hN⟩ := eventually_atBot.mp (tendsto_atBot.mp hf (f x - r))
exact (f.measure_Ioc (min x N) x ▸ ENNReal.coe_nnreal_eq r ▸ (ENNReal.ofReal_le_ofReal <|
le_sub_comm.mp <| hN _ (min_le_right x N))).trans (measure_mono Ioc_subset_Iic_self)
lemma measure_Iio_of_tendsto_atBot_atBot (hf : Tendsto f atBot atBot) (x : ℝ) :
f.measure (Iio x) = ∞ := by
rw [← top_le_iff, ← f.measure_Iic_of_tendsto_atBot_atBot hf (x - 1)]
exact measure_mono <| Set.Iic_subset_Iio.mpr <| sub_one_lt x
theorem measure_univ {l u : ℝ} (hfl : Tendsto f atBot (𝓝 l)) (hfu : Tendsto f atTop (𝓝 u)) :
f.measure univ = ofReal (u - l) := by
refine tendsto_nhds_unique (tendsto_measure_Iic_atTop _) ?_
simp_rw [measure_Iic f hfl]
exact ENNReal.tendsto_ofReal (Tendsto.sub_const hfu _)
lemma measure_univ_of_tendsto_atTop_atTop (hf : Tendsto f atTop atTop) :
| f.measure univ = ∞ := by
rw [← top_le_iff, ← f.measure_Ioi_of_tendsto_atTop_atTop hf 0]
| Mathlib/MeasureTheory/Measure/Stieltjes.lean | 491 | 492 |
/-
Copyright (c) 2022 Kexing Ying. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Kexing Ying
-/
import Mathlib.Algebra.Order.Archimedean.IndicatorCard
import Mathlib.Probability.Martingale.Centering
import Mathlib.Probability.Martingale.Convergence
import Mathlib.Probability.Martingale.OptionalStopping
/-!
# Generalized Borel-Cantelli lemma
This file proves Lévy's generalized Borel-Cantelli lemma which is a generalization of the
Borel-Cantelli lemmas. With this generalization, one can easily deduce the Borel-Cantelli lemmas
by choosing appropriate filtrations. This file also contains the one sided martingale bound which
is required to prove the generalized Borel-Cantelli.
**Note**: the usual Borel-Cantelli lemmas are not in this file.
See `MeasureTheory.measure_limsup_atTop_eq_zero` for the first (which does not depend on
the results here), and `ProbabilityTheory.measure_limsup_eq_one` for the second (which does).
## Main results
- `MeasureTheory.Submartingale.bddAbove_iff_exists_tendsto`: the one sided martingale bound: given
a submartingale `f` with uniformly bounded differences, the set for which `f` converges is almost
everywhere equal to the set for which it is bounded.
- `MeasureTheory.ae_mem_limsup_atTop_iff`: Lévy's generalized Borel-Cantelli:
given a filtration `ℱ` and a sequence of sets `s` such that `s n ∈ ℱ n` for all `n`,
`limsup atTop s` is almost everywhere equal to the set for which `∑ ℙ[s (n + 1)∣ℱ n] = ∞`.
-/
open Filter
open scoped NNReal ENNReal MeasureTheory ProbabilityTheory Topology
namespace MeasureTheory
variable {Ω : Type*} {m0 : MeasurableSpace Ω} {μ : Measure Ω} {ℱ : Filtration ℕ m0} {f : ℕ → Ω → ℝ}
/-!
### One sided martingale bound
-/
-- TODO: `leastGE` should be defined taking values in `WithTop ℕ` once the `stoppedProcess`
-- refactor is complete
/-- `leastGE f r n` is the stopping time corresponding to the first time `f ≥ r`. -/
noncomputable def leastGE (f : ℕ → Ω → ℝ) (r : ℝ) (n : ℕ) :=
hitting f (Set.Ici r) 0 n
theorem Adapted.isStoppingTime_leastGE (r : ℝ) (n : ℕ) (hf : Adapted ℱ f) :
IsStoppingTime ℱ (leastGE f r n) :=
hitting_isStoppingTime hf measurableSet_Ici
theorem leastGE_le {i : ℕ} {r : ℝ} (ω : Ω) : leastGE f r i ω ≤ i :=
hitting_le ω
-- The following four lemmas shows `leastGE` behaves like a stopped process. Ideally we should
-- define `leastGE` as a stopping time and take its stopped process. However, we can't do that
-- with our current definition since a stopping time takes only finite indices. An upcoming
-- refactor should hopefully make it possible to have stopping times taking infinity as a value
theorem leastGE_mono {n m : ℕ} (hnm : n ≤ m) (r : ℝ) (ω : Ω) : leastGE f r n ω ≤ leastGE f r m ω :=
hitting_mono hnm
theorem leastGE_eq_min (π : Ω → ℕ) (r : ℝ) (ω : Ω) {n : ℕ} (hπn : ∀ ω, π ω ≤ n) :
leastGE f r (π ω) ω = min (π ω) (leastGE f r n ω) := by
classical
refine le_antisymm (le_min (leastGE_le _) (leastGE_mono (hπn ω) r ω)) ?_
by_cases hle : π ω ≤ leastGE f r n ω
· rw [min_eq_left hle, leastGE]
| by_cases h : ∃ j ∈ Set.Icc 0 (π ω), f j ω ∈ Set.Ici r
· refine hle.trans (Eq.le ?_)
rw [leastGE, ← hitting_eq_hitting_of_exists (hπn ω) h]
· simp only [hitting, if_neg h, le_rfl]
· rw [min_eq_right (not_le.1 hle).le, leastGE, leastGE, ←
hitting_eq_hitting_of_exists (hπn ω) _]
rw [not_le, leastGE, hitting_lt_iff _ (hπn ω)] at hle
exact
let ⟨j, hj₁, hj₂⟩ := hle
⟨j, ⟨hj₁.1, hj₁.2.le⟩, hj₂⟩
theorem stoppedValue_stoppedValue_leastGE (f : ℕ → Ω → ℝ) (π : Ω → ℕ) (r : ℝ) {n : ℕ}
(hπn : ∀ ω, π ω ≤ n) : stoppedValue (fun i => stoppedValue f (leastGE f r i)) π =
stoppedValue (stoppedProcess f (leastGE f r n)) π := by
ext1 ω
simp +unfoldPartialApp only [stoppedProcess, stoppedValue]
| Mathlib/Probability/Martingale/BorelCantelli.lean | 75 | 90 |
/-
Copyright (c) 2018 Chris Hughes. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Chris Hughes, Michael Stoll
-/
import Mathlib.NumberTheory.LegendreSymbol.QuadraticChar.Basic
/-!
# Legendre symbol
This file contains results about Legendre symbols.
We define the Legendre symbol $\Bigl(\frac{a}{p}\Bigr)$ as `legendreSym p a`.
Note the order of arguments! The advantage of this form is that then `legendreSym p`
is a multiplicative map.
The Legendre symbol is used to define the Jacobi symbol, `jacobiSym a b`, for integers `a`
and (odd) natural numbers `b`, which extends the Legendre symbol.
## Main results
We also prove the supplementary laws that give conditions for when `-1`
is a square modulo a prime `p`:
`legendreSym.at_neg_one` and `ZMod.exists_sq_eq_neg_one_iff` for `-1`.
See `NumberTheory.LegendreSymbol.QuadraticReciprocity` for the conditions when `2` and `-2`
are squares:
`legendreSym.at_two` and `ZMod.exists_sq_eq_two_iff` for `2`,
`legendreSym.at_neg_two` and `ZMod.exists_sq_eq_neg_two_iff` for `-2`.
## Tags
quadratic residue, quadratic nonresidue, Legendre symbol
-/
open Nat
section Euler
namespace ZMod
variable (p : ℕ) [Fact p.Prime]
/-- Euler's Criterion: A unit `x` of `ZMod p` is a square if and only if `x ^ (p / 2) = 1`. -/
theorem euler_criterion_units (x : (ZMod p)ˣ) : (∃ y : (ZMod p)ˣ, y ^ 2 = x) ↔ x ^ (p / 2) = 1 := by
by_cases hc : p = 2
· subst hc
simp only [eq_iff_true_of_subsingleton, exists_const]
· have h₀ := FiniteField.unit_isSquare_iff (by rwa [ringChar_zmod_n]) x
have hs : (∃ y : (ZMod p)ˣ, y ^ 2 = x) ↔ IsSquare x := by
rw [isSquare_iff_exists_sq x]
simp_rw [eq_comm]
rw [hs]
rwa [card p] at h₀
/-- Euler's Criterion: a nonzero `a : ZMod p` is a square if and only if `x ^ (p / 2) = 1`. -/
theorem euler_criterion {a : ZMod p} (ha : a ≠ 0) : IsSquare (a : ZMod p) ↔ a ^ (p / 2) = 1 := by
apply (iff_congr _ (by simp [Units.ext_iff])).mp (euler_criterion_units p (Units.mk0 a ha))
simp only [Units.ext_iff, sq, Units.val_mk0, Units.val_mul]
constructor
· rintro ⟨y, hy⟩; exact ⟨y, hy.symm⟩
· rintro ⟨y, rfl⟩
have hy : y ≠ 0 := by
rintro rfl
simp [zero_pow, mul_zero, ne_eq, not_true] at ha
refine ⟨Units.mk0 y hy, ?_⟩; simp
/-- If `a : ZMod p` is nonzero, then `a^(p/2)` is either `1` or `-1`. -/
theorem pow_div_two_eq_neg_one_or_one {a : ZMod p} (ha : a ≠ 0) :
a ^ (p / 2) = 1 ∨ a ^ (p / 2) = -1 := by
rcases Prime.eq_two_or_odd (@Fact.out p.Prime _) with hp2 | hp_odd
· subst p; revert a ha; intro a; fin_cases a
· tauto
· simp
rw [← mul_self_eq_one_iff, ← pow_add, ← two_mul, two_mul_odd_div_two hp_odd]
exact pow_card_sub_one_eq_one ha
end ZMod
end Euler
section Legendre
/-!
### Definition of the Legendre symbol and basic properties
-/
open ZMod
variable (p : ℕ) [Fact p.Prime]
/-- The Legendre symbol of `a : ℤ` and a prime `p`, `legendreSym p a`,
is an integer defined as
* `0` if `a` is `0` modulo `p`;
* `1` if `a` is a nonzero square modulo `p`
* `-1` otherwise.
Note the order of the arguments! The advantage of the order chosen here is
that `legendreSym p` is a multiplicative function `ℤ → ℤ`.
-/
def legendreSym (a : ℤ) : ℤ :=
quadraticChar (ZMod p) a
namespace legendreSym
/-- We have the congruence `legendreSym p a ≡ a ^ (p / 2) mod p`. -/
theorem eq_pow (a : ℤ) : (legendreSym p a : ZMod p) = (a : ZMod p) ^ (p / 2) := by
rcases eq_or_ne (ringChar (ZMod p)) 2 with hc | hc
· by_cases ha : (a : ZMod p) = 0
· rw [legendreSym, ha, quadraticChar_zero,
zero_pow (Nat.div_pos (@Fact.out p.Prime).two_le (succ_pos 1)).ne']
norm_cast
· have := (ringChar_zmod_n p).symm.trans hc
-- p = 2
subst p
rw [legendreSym, quadraticChar_eq_one_of_char_two hc ha]
revert ha
push_cast
generalize (a : ZMod 2) = b; fin_cases b
· tauto
· simp
· convert quadraticChar_eq_pow_of_char_ne_two' hc (a : ZMod p)
exact (card p).symm
/-- If `p ∤ a`, then `legendreSym p a` is `1` or `-1`. -/
theorem eq_one_or_neg_one {a : ℤ} (ha : (a : ZMod p) ≠ 0) :
legendreSym p a = 1 ∨ legendreSym p a = -1 :=
quadraticChar_dichotomy ha
theorem eq_neg_one_iff_not_one {a : ℤ} (ha : (a : ZMod p) ≠ 0) :
legendreSym p a = -1 ↔ ¬legendreSym p a = 1 :=
quadraticChar_eq_neg_one_iff_not_one ha
/-- The Legendre symbol of `p` and `a` is zero iff `p ∣ a`. -/
theorem eq_zero_iff (a : ℤ) : legendreSym p a = 0 ↔ (a : ZMod p) = 0 :=
quadraticChar_eq_zero_iff
@[simp]
theorem at_zero : legendreSym p 0 = 0 := by rw [legendreSym, Int.cast_zero, MulChar.map_zero]
@[simp]
theorem at_one : legendreSym p 1 = 1 := by rw [legendreSym, Int.cast_one, MulChar.map_one]
/-- The Legendre symbol is multiplicative in `a` for `p` fixed. -/
protected theorem mul (a b : ℤ) : legendreSym p (a * b) = legendreSym p a * legendreSym p b := by
simp [legendreSym, Int.cast_mul, map_mul, quadraticCharFun_mul]
/-- The Legendre symbol is a homomorphism of monoids with zero. -/
@[simps]
def hom : ℤ →*₀ ℤ where
toFun := legendreSym p
map_zero' := at_zero p
map_one' := at_one p
map_mul' := legendreSym.mul p
/-- The square of the symbol is 1 if `p ∤ a`. -/
theorem sq_one {a : ℤ} (ha : (a : ZMod p) ≠ 0) : legendreSym p a ^ 2 = 1 :=
quadraticChar_sq_one ha
/-- The Legendre symbol of `a^2` at `p` is 1 if `p ∤ a`. -/
theorem sq_one' {a : ℤ} (ha : (a : ZMod p) ≠ 0) : legendreSym p (a ^ 2) = 1 := by
dsimp only [legendreSym]
rw [Int.cast_pow]
exact quadraticChar_sq_one' ha
/-- The Legendre symbol depends only on `a` mod `p`. -/
protected theorem mod (a : ℤ) : legendreSym p a = legendreSym p (a % p) := by
simp only [legendreSym, intCast_mod]
/-- When `p ∤ a`, then `legendreSym p a = 1` iff `a` is a square mod `p`. -/
theorem eq_one_iff {a : ℤ} (ha0 : (a : ZMod p) ≠ 0) : legendreSym p a = 1 ↔ IsSquare (a : ZMod p) :=
quadraticChar_one_iff_isSquare ha0
theorem eq_one_iff' {a : ℕ} (ha0 : (a : ZMod p) ≠ 0) :
legendreSym p a = 1 ↔ IsSquare (a : ZMod p) := by
rw [eq_one_iff]
· norm_cast
· exact mod_cast ha0
/-- `legendreSym p a = -1` iff `a` is a nonsquare mod `p`. -/
theorem eq_neg_one_iff {a : ℤ} : legendreSym p a = -1 ↔ ¬IsSquare (a : ZMod p) :=
quadraticChar_neg_one_iff_not_isSquare
theorem eq_neg_one_iff' {a : ℕ} : legendreSym p a = -1 ↔ ¬IsSquare (a : ZMod p) := by
rw [eq_neg_one_iff]; norm_cast
/-- The number of square roots of `a` modulo `p` is determined by the Legendre symbol. -/
theorem card_sqrts (hp : p ≠ 2) (a : ℤ) :
↑{x : ZMod p | x ^ 2 = a}.toFinset.card = legendreSym p a + 1 :=
quadraticChar_card_sqrts ((ringChar_zmod_n p).substr hp) a
end legendreSym
end Legendre
section QuadraticForm
/-!
### Applications to binary quadratic forms
-/
namespace legendreSym
/-- The Legendre symbol `legendreSym p a = 1` if there is a solution in `ℤ/pℤ`
of the equation `x^2 - a*y^2 = 0` with `y ≠ 0`. -/
theorem eq_one_of_sq_sub_mul_sq_eq_zero {p : ℕ} [Fact p.Prime] {a : ℤ} (ha : (a : ZMod p) ≠ 0)
{x y : ZMod p} (hy : y ≠ 0) (hxy : x ^ 2 - a * y ^ 2 = 0) : legendreSym p a = 1 := by
apply_fun (· * y⁻¹ ^ 2) at hxy
simp only [zero_mul] at hxy
rw [(by ring : (x ^ 2 - ↑a * y ^ 2) * y⁻¹ ^ 2 = (x * y⁻¹) ^ 2 - a * (y * y⁻¹) ^ 2),
mul_inv_cancel₀ hy, one_pow, mul_one, sub_eq_zero, pow_two] at hxy
exact (eq_one_iff p ha).mpr ⟨x * y⁻¹, hxy.symm⟩
/-- The Legendre symbol `legendreSym p a = 1` if there is a solution in `ℤ/pℤ`
of the equation `x^2 - a*y^2 = 0` with `x ≠ 0`. -/
theorem eq_one_of_sq_sub_mul_sq_eq_zero' {p : ℕ} [Fact p.Prime] {a : ℤ} (ha : (a : ZMod p) ≠ 0)
{x y : ZMod p} (hx : x ≠ 0) (hxy : x ^ 2 - a * y ^ 2 = 0) : legendreSym p a = 1 := by
haveI hy : y ≠ 0 := by
rintro rfl
rw [zero_pow two_ne_zero, mul_zero, sub_zero, sq_eq_zero_iff] at hxy
exact hx hxy
exact eq_one_of_sq_sub_mul_sq_eq_zero ha hy hxy
/-- If `legendreSym p a = -1`, then the only solution of `x^2 - a*y^2 = 0` in `ℤ/pℤ`
is the trivial one. -/
theorem eq_zero_mod_of_eq_neg_one {p : ℕ} [Fact p.Prime] {a : ℤ} (h : legendreSym p a = -1)
{x y : ZMod p} (hxy : x ^ 2 - a * y ^ 2 = 0) : x = 0 ∧ y = 0 := by
have ha : (a : ZMod p) ≠ 0 := by
intro hf
rw [(eq_zero_iff p a).mpr hf] at h
simp at h
by_contra hf
rcases imp_iff_or_not.mp (not_and'.mp hf) with hx | hy
· rw [eq_one_of_sq_sub_mul_sq_eq_zero' ha hx hxy, CharZero.eq_neg_self_iff] at h
exact one_ne_zero h
· rw [eq_one_of_sq_sub_mul_sq_eq_zero ha hy hxy, CharZero.eq_neg_self_iff] at h
exact one_ne_zero h
| /-- If `legendreSym p a = -1` and `p` divides `x^2 - a*y^2`, then `p` must divide `x` and `y`. -/
theorem prime_dvd_of_eq_neg_one {p : ℕ} [Fact p.Prime] {a : ℤ} (h : legendreSym p a = -1) {x y : ℤ}
(hxy : (p : ℤ) ∣ x ^ 2 - a * y ^ 2) : ↑p ∣ x ∧ ↑p ∣ y := by
simp_rw [← ZMod.intCast_zmod_eq_zero_iff_dvd] at hxy ⊢
push_cast at hxy
exact eq_zero_mod_of_eq_neg_one h hxy
| Mathlib/NumberTheory/LegendreSymbol/Basic.lean | 243 | 249 |
/-
Copyright (c) 2020 Kenny Lau. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Kenny Lau
-/
import Mathlib.Algebra.Polynomial.Expand
import Mathlib.Algebra.Polynomial.Splits
import Mathlib.Algebra.Squarefree.Basic
import Mathlib.FieldTheory.IntermediateField.Basic
import Mathlib.FieldTheory.Minpoly.Field
import Mathlib.RingTheory.Polynomial.Content
import Mathlib.RingTheory.PowerBasis
import Mathlib.Data.ENat.Lattice
/-!
# Separable polynomials
We define a polynomial to be separable if it is coprime with its derivative. We prove basic
properties about separable polynomials here.
## Main definitions
* `Polynomial.Separable f`: a polynomial `f` is separable iff it is coprime with its derivative.
* `IsSeparable K x`: an element `x` is separable over `K` iff the minimal polynomial of `x`
over `K` is separable.
* `Algebra.IsSeparable K L`: `L` is separable over `K` iff every element in `L` is separable
over `K`.
-/
universe u v w
open Polynomial Finset
namespace Polynomial
section CommSemiring
variable {R : Type u} [CommSemiring R] {S : Type v} [CommSemiring S]
/-- A polynomial is separable iff it is coprime with its derivative. -/
@[stacks 09H1 "first part"]
def Separable (f : R[X]) : Prop :=
IsCoprime f (derivative f)
theorem separable_def (f : R[X]) : f.Separable ↔ IsCoprime f (derivative f) :=
Iff.rfl
theorem separable_def' (f : R[X]) : f.Separable ↔ ∃ a b : R[X], a * f + b * (derivative f) = 1 :=
Iff.rfl
theorem not_separable_zero [Nontrivial R] : ¬Separable (0 : R[X]) := by
rintro ⟨x, y, h⟩
simp only [derivative_zero, mul_zero, add_zero, zero_ne_one] at h
theorem Separable.ne_zero [Nontrivial R] {f : R[X]} (h : f.Separable) : f ≠ 0 :=
(not_separable_zero <| · ▸ h)
@[simp]
theorem separable_one : (1 : R[X]).Separable :=
isCoprime_one_left
@[nontriviality]
theorem separable_of_subsingleton [Subsingleton R] (f : R[X]) : f.Separable := by
simp [Separable, IsCoprime, eq_iff_true_of_subsingleton]
theorem separable_X_add_C (a : R) : (X + C a).Separable := by
rw [separable_def, derivative_add, derivative_X, derivative_C, add_zero]
exact isCoprime_one_right
theorem separable_X : (X : R[X]).Separable := by
rw [separable_def, derivative_X]
exact isCoprime_one_right
theorem separable_C (r : R) : (C r).Separable ↔ IsUnit r := by
rw [separable_def, derivative_C, isCoprime_zero_right, isUnit_C]
theorem Separable.of_mul_left {f g : R[X]} (h : (f * g).Separable) : f.Separable := by
have := h.of_mul_left_left; rw [derivative_mul] at this
exact IsCoprime.of_mul_right_left (IsCoprime.of_add_mul_left_right this)
theorem Separable.of_mul_right {f g : R[X]} (h : (f * g).Separable) : g.Separable := by
rw [mul_comm] at h
exact h.of_mul_left
theorem Separable.of_dvd {f g : R[X]} (hf : f.Separable) (hfg : g ∣ f) : g.Separable := by
rcases hfg with ⟨f', rfl⟩
exact Separable.of_mul_left hf
theorem separable_gcd_left {F : Type*} [Field F] [DecidableEq F[X]]
{f : F[X]} (hf : f.Separable) (g : F[X]) :
(EuclideanDomain.gcd f g).Separable :=
Separable.of_dvd hf (EuclideanDomain.gcd_dvd_left f g)
theorem separable_gcd_right {F : Type*} [Field F] [DecidableEq F[X]]
{g : F[X]} (f : F[X]) (hg : g.Separable) :
(EuclideanDomain.gcd f g).Separable :=
Separable.of_dvd hg (EuclideanDomain.gcd_dvd_right f g)
theorem Separable.isCoprime {f g : R[X]} (h : (f * g).Separable) : IsCoprime f g := by
have := h.of_mul_left_left; rw [derivative_mul] at this
exact IsCoprime.of_mul_right_right (IsCoprime.of_add_mul_left_right this)
theorem Separable.of_pow' {f : R[X]} :
∀ {n : ℕ} (_h : (f ^ n).Separable), IsUnit f ∨ f.Separable ∧ n = 1 ∨ n = 0
| 0 => fun _h => Or.inr <| Or.inr rfl
| 1 => fun h => Or.inr <| Or.inl ⟨pow_one f ▸ h, rfl⟩
| n + 2 => fun h => by
rw [pow_succ, pow_succ] at h
exact Or.inl (isCoprime_self.1 h.isCoprime.of_mul_left_right)
theorem Separable.of_pow {f : R[X]} (hf : ¬IsUnit f) {n : ℕ} (hn : n ≠ 0)
(hfs : (f ^ n).Separable) : f.Separable ∧ n = 1 :=
(hfs.of_pow'.resolve_left hf).resolve_right hn
theorem Separable.map {p : R[X]} (h : p.Separable) {f : R →+* S} : (p.map f).Separable :=
let ⟨a, b, H⟩ := h
⟨a.map f, b.map f, by
rw [derivative_map, ← Polynomial.map_mul, ← Polynomial.map_mul, ← Polynomial.map_add, H,
Polynomial.map_one]⟩
theorem _root_.Associated.separable {f g : R[X]}
(ha : Associated f g) (h : f.Separable) : g.Separable := by
obtain ⟨⟨u, v, h1, h2⟩, ha⟩ := ha
obtain ⟨a, b, h⟩ := h
refine ⟨a * v + b * derivative v, b * v, ?_⟩
replace h := congr($h * $(h1))
have h3 := congr(derivative $(h1))
simp only [← ha, derivative_mul, derivative_one] at h3 ⊢
calc
_ = (a * f + b * derivative f) * (u * v)
+ (b * f) * (derivative u * v + u * derivative v) := by ring1
_ = 1 := by rw [h, h3]; ring1
theorem _root_.Associated.separable_iff {f g : R[X]}
(ha : Associated f g) : f.Separable ↔ g.Separable := ⟨ha.separable, ha.symm.separable⟩
theorem Separable.mul_unit {f g : R[X]} (hf : f.Separable) (hg : IsUnit g) : (f * g).Separable :=
(associated_mul_unit_right f g hg).separable hf
theorem Separable.unit_mul {f g : R[X]} (hf : IsUnit f) (hg : g.Separable) : (f * g).Separable :=
(associated_unit_mul_right g f hf).separable hg
theorem Separable.eval₂_derivative_ne_zero [Nontrivial S] (f : R →+* S) {p : R[X]}
(h : p.Separable) {x : S} (hx : p.eval₂ f x = 0) :
(derivative p).eval₂ f x ≠ 0 := by
intro hx'
obtain ⟨a, b, e⟩ := h
apply_fun Polynomial.eval₂ f x at e
simp only [eval₂_add, eval₂_mul, hx, mul_zero, hx', add_zero, eval₂_one, zero_ne_one] at e
theorem Separable.aeval_derivative_ne_zero [Nontrivial S] [Algebra R S] {p : R[X]}
(h : p.Separable) {x : S} (hx : aeval x p = 0) :
aeval x (derivative p) ≠ 0 :=
h.eval₂_derivative_ne_zero (algebraMap R S) hx
variable (p q : ℕ)
theorem isUnit_of_self_mul_dvd_separable {p q : R[X]} (hp : p.Separable) (hq : q * q ∣ p) :
IsUnit q := by
obtain ⟨p, rfl⟩ := hq
apply isCoprime_self.mp
have : IsCoprime (q * (q * p))
(q * (derivative q * p + derivative q * p + q * derivative p)) := by
simp only [← mul_assoc, mul_add]
dsimp only [Separable] at hp
convert hp using 1
rw [derivative_mul, derivative_mul]
ring
exact IsCoprime.of_mul_right_left (IsCoprime.of_mul_left_left this)
theorem emultiplicity_le_one_of_separable {p q : R[X]} (hq : ¬IsUnit q) (hsep : Separable p) :
emultiplicity q p ≤ 1 := by
contrapose! hq
apply isUnit_of_self_mul_dvd_separable hsep
rw [← sq]
apply pow_dvd_of_le_emultiplicity
exact Order.add_one_le_of_lt hq
/-- A separable polynomial is square-free.
See `PerfectField.separable_iff_squarefree` for the converse when the coefficients are a perfect
field. -/
theorem Separable.squarefree {p : R[X]} (hsep : Separable p) : Squarefree p := by
classical
rw [squarefree_iff_emultiplicity_le_one p]
exact fun f => or_iff_not_imp_right.mpr fun hunit => emultiplicity_le_one_of_separable hunit hsep
end CommSemiring
section CommRing
variable {R : Type u} [CommRing R]
theorem separable_X_sub_C {x : R} : Separable (X - C x) := by
simpa only [sub_eq_add_neg, C_neg] using separable_X_add_C (-x)
theorem Separable.mul {f g : R[X]} (hf : f.Separable) (hg : g.Separable) (h : IsCoprime f g) :
(f * g).Separable := by
rw [separable_def, derivative_mul]
exact
((hf.mul_right h).add_mul_left_right _).mul_left ((h.symm.mul_right hg).mul_add_right_right _)
theorem separable_prod' {ι : Sort _} {f : ι → R[X]} {s : Finset ι} :
(∀ x ∈ s, ∀ y ∈ s, x ≠ y → IsCoprime (f x) (f y)) →
(∀ x ∈ s, (f x).Separable) → (∏ x ∈ s, f x).Separable := by
classical
exact Finset.induction_on s (fun _ _ => separable_one) fun a s has ih h1 h2 => by
simp_rw [Finset.forall_mem_insert, forall_and] at h1 h2; rw [prod_insert has]
exact
h2.1.mul (ih h1.2.2 h2.2)
(IsCoprime.prod_right fun i his => h1.1.2 i his <| Ne.symm <| ne_of_mem_of_not_mem his has)
open scoped Function in -- required for scoped `on` notation
theorem separable_prod {ι : Sort _} [Fintype ι] {f : ι → R[X]} (h1 : Pairwise (IsCoprime on f))
(h2 : ∀ x, (f x).Separable) : (∏ x, f x).Separable :=
separable_prod' (fun _x _hx _y _hy hxy => h1 hxy) fun x _hx => h2 x
theorem Separable.inj_of_prod_X_sub_C [Nontrivial R] {ι : Sort _} {f : ι → R} {s : Finset ι}
(hfs : (∏ i ∈ s, (X - C (f i))).Separable) {x y : ι} (hx : x ∈ s) (hy : y ∈ s)
(hfxy : f x = f y) : x = y := by
classical
by_contra hxy
rw [← insert_erase hx, prod_insert (not_mem_erase _ _), ←
insert_erase (mem_erase_of_ne_of_mem (Ne.symm hxy) hy), prod_insert (not_mem_erase _ _), ←
mul_assoc, hfxy, ← sq] at hfs
cases (hfs.of_mul_left.of_pow (not_isUnit_X_sub_C _) two_ne_zero).2
theorem Separable.injective_of_prod_X_sub_C [Nontrivial R] {ι : Sort _} [Fintype ι] {f : ι → R}
(hfs : (∏ i, (X - C (f i))).Separable) : Function.Injective f := fun _x _y hfxy =>
hfs.inj_of_prod_X_sub_C (mem_univ _) (mem_univ _) hfxy
theorem nodup_of_separable_prod [Nontrivial R] {s : Multiset R}
(hs : Separable (Multiset.map (fun a => X - C a) s).prod) : s.Nodup := by
rw [Multiset.nodup_iff_ne_cons_cons]
rintro a t rfl
refine not_isUnit_X_sub_C a (isUnit_of_self_mul_dvd_separable hs ?_)
simpa only [Multiset.map_cons, Multiset.prod_cons] using mul_dvd_mul_left _ (dvd_mul_right _ _)
/-- If `IsUnit n` in a `CommRing R`, then `X ^ n - u` is separable for any unit `u`. -/
theorem separable_X_pow_sub_C_unit {n : ℕ} (u : Rˣ) (hn : IsUnit (n : R)) :
Separable (X ^ n - C (u : R)) := by
nontriviality R
rcases n.eq_zero_or_pos with (rfl | hpos)
· simp at hn
apply (separable_def' (X ^ n - C (u : R))).2
obtain ⟨n', hn'⟩ := hn.exists_left_inv
refine ⟨-C ↑u⁻¹, C (↑u⁻¹ : R) * C n' * X, ?_⟩
rw [derivative_sub, derivative_C, sub_zero, derivative_pow X n, derivative_X, mul_one]
calc
-C ↑u⁻¹ * (X ^ n - C ↑u) + C ↑u⁻¹ * C n' * X * (↑n * X ^ (n - 1)) =
C (↑u⁻¹ * ↑u) - C ↑u⁻¹ * X ^ n + C ↑u⁻¹ * C (n' * ↑n) * (X * X ^ (n - 1)) := by
simp only [C.map_mul, C_eq_natCast]
ring
_ = 1 := by
simp only [Units.inv_mul, hn', C.map_one, mul_one, ← pow_succ',
Nat.sub_add_cancel (show 1 ≤ n from hpos), sub_add_cancel]
/-- If `n = 0` in `R` and `b` is a unit, then `a * X ^ n + b * X + c` is separable. -/
theorem separable_C_mul_X_pow_add_C_mul_X_add_C
{n : ℕ} (a b c : R) (hn : (n : R) = 0) (hb : IsUnit b) :
(C a * X ^ n + C b * X + C c).Separable := by
set f := C a * X ^ n + C b * X + C c
obtain ⟨e, hb⟩ := hb.exists_left_inv
refine ⟨-derivative f, f + C e, ?_⟩
have hderiv : derivative f = C b := by
simp [hn, f, map_add derivative, derivative_C, derivative_X_pow]
rw [hderiv, right_distrib, ← add_assoc, neg_mul, mul_comm, neg_add_cancel, zero_add,
← map_mul, hb, map_one]
/-- If `R` is of characteristic `p`, `p ∣ n` and `b` is a unit,
then `a * X ^ n + b * X + c` is separable. -/
theorem separable_C_mul_X_pow_add_C_mul_X_add_C'
(p n : ℕ) (a b c : R) [CharP R p] (hn : p ∣ n) (hb : IsUnit b) :
(C a * X ^ n + C b * X + C c).Separable :=
separable_C_mul_X_pow_add_C_mul_X_add_C a b c ((CharP.cast_eq_zero_iff R p n).2 hn) hb
theorem rootMultiplicity_le_one_of_separable [Nontrivial R] {p : R[X]} (hsep : Separable p)
(x : R) : rootMultiplicity x p ≤ 1 := by
classical
by_cases hp : p = 0
· simp [hp]
rw [rootMultiplicity_eq_multiplicity, if_neg hp, ← Nat.cast_le (α := ℕ∞),
Nat.cast_one, ← (finiteMultiplicity_X_sub_C x hp).emultiplicity_eq_multiplicity]
apply emultiplicity_le_one_of_separable (not_isUnit_X_sub_C _) hsep
end CommRing
section IsDomain
variable {R : Type u} [CommRing R] [IsDomain R]
theorem count_roots_le_one [DecidableEq R] {p : R[X]} (hsep : Separable p) (x : R) :
p.roots.count x ≤ 1 := by
rw [count_roots p]
exact rootMultiplicity_le_one_of_separable hsep x
theorem nodup_roots {p : R[X]} (hsep : Separable p) : p.roots.Nodup := by
classical
exact Multiset.nodup_iff_count_le_one.mpr (count_roots_le_one hsep)
end IsDomain
section Field
variable {F : Type u} [Field F] {K : Type v} [Field K]
theorem separable_iff_derivative_ne_zero {f : F[X]} (hf : Irreducible f) :
f.Separable ↔ derivative f ≠ 0 :=
⟨fun h1 h2 => hf.not_isUnit <| isCoprime_zero_right.1 <| h2 ▸ h1, fun h =>
EuclideanDomain.isCoprime_of_dvd (mt And.right h) fun g hg1 _hg2 ⟨p, hg3⟩ hg4 =>
let ⟨u, hu⟩ := (hf.isUnit_or_isUnit hg3).resolve_left hg1
have : f ∣ derivative f := by
conv_lhs => rw [hg3, ← hu]
rwa [Units.mul_right_dvd]
not_lt_of_le (natDegree_le_of_dvd this h) <|
natDegree_derivative_lt <| mt derivative_of_natDegree_zero h⟩
attribute [local instance] Ideal.Quotient.field in
theorem separable_map {S} [CommRing S] [Nontrivial S] (f : F →+* S) {p : F[X]} :
(p.map f).Separable ↔ p.Separable := by
refine ⟨fun H ↦ ?_, fun H ↦ H.map⟩
obtain ⟨m, hm⟩ := Ideal.exists_maximal S
have := Separable.map H (f := Ideal.Quotient.mk m)
rwa [map_map, separable_def, derivative_map, isCoprime_map] at this
theorem separable_prod_X_sub_C_iff' {ι : Sort _} {f : ι → F} {s : Finset ι} :
(∏ i ∈ s, (X - C (f i))).Separable ↔ ∀ x ∈ s, ∀ y ∈ s, f x = f y → x = y :=
⟨fun hfs _ hx _ hy hfxy => hfs.inj_of_prod_X_sub_C hx hy hfxy, fun H => by
rw [← prod_attach]
exact
separable_prod'
(fun x _hx y _hy hxy =>
@pairwise_coprime_X_sub_C _ _ { x // x ∈ s } (fun x => f x)
(fun x y hxy => Subtype.eq <| H x.1 x.2 y.1 y.2 hxy) _ _ hxy)
fun _ _ => separable_X_sub_C⟩
|
theorem separable_prod_X_sub_C_iff {ι : Sort _} [Fintype ι] {f : ι → F} :
(∏ i, (X - C (f i))).Separable ↔ Function.Injective f :=
separable_prod_X_sub_C_iff'.trans <| by simp_rw [mem_univ, true_imp_iff, Function.Injective]
section CharP
variable (p : ℕ) [HF : CharP F p]
theorem separable_or {f : F[X]} (hf : Irreducible f) :
| Mathlib/FieldTheory/Separable.lean | 339 | 348 |
/-
Copyright (c) 2022 Oliver Nash. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Oliver Nash
-/
import Mathlib.Algebra.Order.Ring.Abs
import Mathlib.Dynamics.FixedPoints.Prufer
import Mathlib.Dynamics.Ergodic.Ergodic
import Mathlib.MeasureTheory.Covering.DensityTheorem
import Mathlib.MeasureTheory.Group.AddCircle
import Mathlib.MeasureTheory.Measure.Haar.Unique
/-!
# Ergodic maps of the additive circle
This file contains proofs of ergodicity for maps of the additive circle.
## Main definitions:
* `AddCircle.ergodic_zsmul`: given `n : ℤ` such that `1 < |n|`, the self map `y ↦ n • y` on
the additive circle is ergodic (wrt the Haar measure).
* `AddCircle.ergodic_nsmul`: given `n : ℕ` such that `1 < n`, the self map `y ↦ n • y` on
the additive circle is ergodic (wrt the Haar measure).
* `AddCircle.ergodic_zsmul_add`: given `n : ℤ` such that `1 < |n|` and `x : AddCircle T`, the
self map `y ↦ n • y + x` on the additive circle is ergodic (wrt the Haar measure).
* `AddCircle.ergodic_nsmul_add`: given `n : ℕ` such that `1 < n` and `x : AddCircle T`, the
self map `y ↦ n • y + x` on the additive circle is ergodic (wrt the Haar measure).
-/
open Set Function MeasureTheory MeasureTheory.Measure Filter Metric
open scoped MeasureTheory NNReal ENNReal Topology Pointwise
namespace AddCircle
variable {T : ℝ} [hT : Fact (0 < T)]
/-- If a null-measurable subset of the circle is almost invariant under rotation by a family of
rational angles with denominators tending to infinity, then it must be almost empty or almost full.
-/
theorem ae_empty_or_univ_of_forall_vadd_ae_eq_self {s : Set <| AddCircle T}
(hs : NullMeasurableSet s volume) {ι : Type*} {l : Filter ι} [l.NeBot] {u : ι → AddCircle T}
(hu₁ : ∀ i, (u i +ᵥ s : Set _) =ᵐ[volume] s) (hu₂ : Tendsto (addOrderOf ∘ u) l atTop) :
s =ᵐ[volume] (∅ : Set <| AddCircle T) ∨ s =ᵐ[volume] univ := by
/- Sketch of proof:
Assume `T = 1` for simplicity and let `μ` be the Haar measure. We may assume `s` has positive
measure since otherwise there is nothing to prove. In this case, by Lebesgue's density theorem,
there exists a point `d` of positive density. Let `Iⱼ` be the sequence of closed balls about `d`
of diameter `1 / nⱼ` where `nⱼ` is the additive order of `uⱼ`. Since `d` has positive density we
must have `μ (s ∩ Iⱼ) / μ Iⱼ → 1` along `l`. However since `s` is invariant under the action of
`uⱼ` and since `Iⱼ` is a fundamental domain for this action, we must have
`μ (s ∩ Iⱼ) = nⱼ * μ s = (μ Iⱼ) * μ s`. We thus have `μ s → 1` and thus `μ s = 1`. -/
set μ := (volume : Measure <| AddCircle T)
set n : ι → ℕ := addOrderOf ∘ u
have hT₀ : 0 < T := hT.out
have hT₁ : ENNReal.ofReal T ≠ 0 := by simpa
rw [ae_eq_empty, ae_eq_univ_iff_measure_eq hs, AddCircle.measure_univ]
rcases eq_or_ne (μ s) 0 with h | h; · exact Or.inl h
right
obtain ⟨d, -, hd⟩ : ∃ d, d ∈ s ∧ ∀ {ι'} {l : Filter ι'} (w : ι' → AddCircle T) (δ : ι' → ℝ),
Tendsto δ l (𝓝[>] 0) → (∀ᶠ j in l, d ∈ closedBall (w j) (1 * δ j)) →
Tendsto (fun j => μ (s ∩ closedBall (w j) (δ j)) / μ (closedBall (w j) (δ j))) l (𝓝 1) :=
exists_mem_of_measure_ne_zero_of_ae h
(IsUnifLocDoublingMeasure.ae_tendsto_measure_inter_div μ s 1)
let I : ι → Set (AddCircle T) := fun j => closedBall d (T / (2 * ↑(n j)))
replace hd : Tendsto (fun j => μ (s ∩ I j) / μ (I j)) l (𝓝 1) := by
let δ : ι → ℝ := fun j => T / (2 * ↑(n j))
have hδ₀ : ∀ᶠ j in l, 0 < δ j :=
(hu₂.eventually_gt_atTop 0).mono fun j hj => div_pos hT₀ <| by positivity
have hδ₁ : Tendsto δ l (𝓝[>] 0) := by
refine tendsto_nhdsWithin_iff.mpr ⟨?_, hδ₀⟩
replace hu₂ : Tendsto (fun j => T⁻¹ * 2 * n j) l atTop :=
(tendsto_natCast_atTop_iff.mpr hu₂).const_mul_atTop (by positivity : 0 < T⁻¹ * 2)
convert hu₂.inv_tendsto_atTop
ext j
simp only [δ, Pi.inv_apply, mul_inv_rev, inv_inv, div_eq_inv_mul, ← mul_assoc]
have hw : ∀ᶠ j in l, d ∈ closedBall d (1 * δ j) := hδ₀.mono fun j hj => by
simp only [comp_apply, one_mul, mem_closedBall, dist_self]
apply hj.le
exact hd _ δ hδ₁ hw
suffices ∀ᶠ j in l, μ (s ∩ I j) / μ (I j) = μ s / ENNReal.ofReal T by
replace hd := hd.congr' this
rwa [tendsto_const_nhds_iff, ENNReal.div_eq_one_iff hT₁ ENNReal.ofReal_ne_top] at hd
refine (hu₂.eventually_gt_atTop 0).mono fun j hj => ?_
have : addOrderOf (u j) = n j := rfl
have huj : IsOfFinAddOrder (u j) := addOrderOf_pos_iff.mp hj
have huj' : 1 ≤ (↑(n j) : ℝ) := by norm_cast
have hI₀ : μ (I j) ≠ 0 := (measure_closedBall_pos _ d <| by positivity).ne.symm
have hI₁ : μ (I j) ≠ ⊤ := measure_ne_top _ _
have hI₂ : μ (I j) * ↑(n j) = ENNReal.ofReal T := by
rw [volume_closedBall, mul_div, mul_div_mul_left T _ two_ne_zero,
min_eq_right (div_le_self hT₀.le huj'), mul_comm, ← nsmul_eq_mul, ← ENNReal.ofReal_nsmul,
nsmul_eq_mul, mul_div_cancel₀]
exact Nat.cast_ne_zero.mpr hj.ne'
rw [ENNReal.div_eq_div_iff hT₁ ENNReal.ofReal_ne_top hI₀ hI₁,
volume_of_add_preimage_eq s _ (u j) d huj (hu₁ j) closedBall_ae_eq_ball, nsmul_eq_mul, ←
mul_assoc, this, hI₂]
theorem ergodic_zsmul {n : ℤ} (hn : 1 < |n|) : Ergodic fun y : AddCircle T => n • y :=
{ measurePreserving_zsmul volume (abs_pos.mp <| lt_trans zero_lt_one hn) with
aeconst_set := fun s hs hs' => by
| let u : ℕ → AddCircle T := fun j => ↑((↑1 : ℝ) / ↑(n.natAbs ^ j) * T)
replace hn : 1 < n.natAbs := by rwa [Int.abs_eq_natAbs, Nat.one_lt_cast] at hn
have hu₀ : ∀ j, addOrderOf (u j) = n.natAbs ^ j := fun j => by
convert addOrderOf_div_of_gcd_eq_one (p := T) (m := 1)
(pow_pos (pos_of_gt hn) j) (gcd_one_left _)
norm_cast
have hnu : ∀ j, n ^ j • u j = 0 := fun j => by
rw [← addOrderOf_dvd_iff_zsmul_eq_zero, hu₀, Int.natCast_pow, Int.natCast_natAbs, ← abs_pow,
abs_dvd]
have hu₁ : ∀ j, (u j +ᵥ s : Set _) =ᵐ[volume] s := fun j => by
rw [vadd_eq_self_of_preimage_zsmul_eq_self hs' (hnu j)]
have hu₂ : Tendsto (fun j => addOrderOf <| u j) atTop atTop := by
simp_rw [hu₀]; exact Nat.tendsto_pow_atTop_atTop_of_one_lt hn
rw [eventuallyConst_set']
exact ae_empty_or_univ_of_forall_vadd_ae_eq_self hs.nullMeasurableSet hu₁ hu₂ }
theorem ergodic_nsmul {n : ℕ} (hn : 1 < n) : Ergodic fun y : AddCircle T => n • y :=
| Mathlib/Dynamics/Ergodic/AddCircle.lean | 104 | 120 |
/-
Copyright (c) 2024 David Loeffler. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: David Loeffler
-/
import Mathlib.NumberTheory.LSeries.AbstractFuncEq
import Mathlib.NumberTheory.ModularForms.JacobiTheta.Bounds
import Mathlib.Analysis.SpecialFunctions.Gamma.Deligne
import Mathlib.NumberTheory.LSeries.MellinEqDirichlet
import Mathlib.NumberTheory.LSeries.Basic
import Mathlib.Analysis.Complex.RemovableSingularity
/-!
# Even Hurwitz zeta functions
In this file we study the functions on `ℂ` which are the meromorphic continuation of the following
series (convergent for `1 < re s`), where `a ∈ ℝ` is a parameter:
`hurwitzZetaEven a s = 1 / 2 * ∑' n : ℤ, 1 / |n + a| ^ s`
and
`cosZeta a s = ∑' n : ℕ, cos (2 * π * a * n) / |n| ^ s`.
Note that the term for `n = -a` in the first sum is omitted if `a` is an integer, and the term for
`n = 0` is omitted in the second sum (always).
Of course, we cannot *define* these functions by the above formulae (since existence of the
meromorphic continuation is not at all obvious); we in fact construct them as Mellin transforms of
various versions of the Jacobi theta function.
We also define completed versions of these functions with nicer functional equations (satisfying
`completedHurwitzZetaEven a s = Gammaℝ s * hurwitzZetaEven a s`, and similarly for `cosZeta`); and
modified versions with a subscript `0`, which are entire functions differing from the above by
multiples of `1 / s` and `1 / (1 - s)`.
## Main definitions and theorems
* `hurwitzZetaEven` and `cosZeta`: the zeta functions
* `completedHurwitzZetaEven` and `completedCosZeta`: completed variants
* `differentiableAt_hurwitzZetaEven` and `differentiableAt_cosZeta`:
differentiability away from `s = 1`
* `completedHurwitzZetaEven_one_sub`: the functional equation
`completedHurwitzZetaEven a (1 - s) = completedCosZeta a s`
* `hasSum_int_hurwitzZetaEven` and `hasSum_nat_cosZeta`: relation between the zeta functions and
the corresponding Dirichlet series for `1 < re s`.
-/
noncomputable section
open Complex Filter Topology Asymptotics Real Set MeasureTheory
namespace HurwitzZeta
section kernel_defs
/-!
## Definitions and elementary properties of kernels
-/
/-- Even Hurwitz zeta kernel (function whose Mellin transform will be the even part of the
completed Hurwit zeta function). See `evenKernel_def` for the defining formula, and
`hasSum_int_evenKernel` for an expression as a sum over `ℤ`. -/
@[irreducible] def evenKernel (a : UnitAddCircle) (x : ℝ) : ℝ :=
(show Function.Periodic
(fun ξ : ℝ ↦ rexp (-π * ξ ^ 2 * x) * re (jacobiTheta₂ (ξ * I * x) (I * x))) 1 by
intro ξ
simp only [ofReal_add, ofReal_one, add_mul, one_mul, jacobiTheta₂_add_left']
have : cexp (-↑π * I * ((I * ↑x) + 2 * (↑ξ * I * ↑x))) = rexp (π * (x + 2 * ξ * x)) := by
ring_nf
simp [I_sq]
rw [this, re_ofReal_mul, ← mul_assoc, ← Real.exp_add]
congr
ring).lift a
lemma evenKernel_def (a x : ℝ) :
↑(evenKernel ↑a x) = cexp (-π * a ^ 2 * x) * jacobiTheta₂ (a * I * x) (I * x) := by
simp [evenKernel, re_eq_add_conj, jacobiTheta₂_conj, ← mul_two,
mul_div_cancel_right₀ _ (two_ne_zero' ℂ)]
/-- For `x ≤ 0` the defining sum diverges, so the kernel is 0. -/
lemma evenKernel_undef (a : UnitAddCircle) {x : ℝ} (hx : x ≤ 0) : evenKernel a x = 0 := by
induction a using QuotientAddGroup.induction_on with
| H a' => simp [← ofReal_inj, evenKernel_def, jacobiTheta₂_undef _ (by simpa : (I * ↑x).im ≤ 0)]
/-- Cosine Hurwitz zeta kernel. See `cosKernel_def` for the defining formula, and
`hasSum_int_cosKernel` for expression as a sum. -/
@[irreducible] def cosKernel (a : UnitAddCircle) (x : ℝ) : ℝ :=
(show Function.Periodic (fun ξ : ℝ ↦ re (jacobiTheta₂ ξ (I * x))) 1 by
intro ξ; simp [jacobiTheta₂_add_left]).lift a
lemma cosKernel_def (a x : ℝ) : ↑(cosKernel ↑a x) = jacobiTheta₂ a (I * x) := by
simp [cosKernel, re_eq_add_conj, jacobiTheta₂_conj, ← mul_two,
mul_div_cancel_right₀ _ (two_ne_zero' ℂ)]
lemma cosKernel_undef (a : UnitAddCircle) {x : ℝ} (hx : x ≤ 0) : cosKernel a x = 0 := by
induction a using QuotientAddGroup.induction_on with
| H => simp [← ofReal_inj, cosKernel_def, jacobiTheta₂_undef _ (by simpa : (I * ↑x).im ≤ 0)]
/-- For `a = 0`, both kernels agree. -/
lemma evenKernel_eq_cosKernel_of_zero : evenKernel 0 = cosKernel 0 := by
ext1 x
simp [← QuotientAddGroup.mk_zero, ← ofReal_inj, evenKernel_def, cosKernel_def]
@[simp]
lemma evenKernel_neg (a : UnitAddCircle) (x : ℝ) : evenKernel (-a) x = evenKernel a x := by
induction a using QuotientAddGroup.induction_on with
| H => simp [← QuotientAddGroup.mk_neg, ← ofReal_inj, evenKernel_def, jacobiTheta₂_neg_left]
@[simp]
lemma cosKernel_neg (a : UnitAddCircle) (x : ℝ) : cosKernel (-a) x = cosKernel a x := by
induction a using QuotientAddGroup.induction_on with
| H => simp [← QuotientAddGroup.mk_neg, ← ofReal_inj, cosKernel_def]
lemma continuousOn_evenKernel (a : UnitAddCircle) : ContinuousOn (evenKernel a) (Ioi 0) := by
induction a using QuotientAddGroup.induction_on with | H a' =>
apply continuous_re.comp_continuousOn (f := fun x ↦ (evenKernel a' x : ℂ))
simp only [evenKernel_def]
refine continuousOn_of_forall_continuousAt (fun x hx ↦ .mul (by fun_prop) ?_)
exact (continuousAt_jacobiTheta₂ (a' * I * x) <| by simpa).comp
(f := fun u : ℝ ↦ (a' * I * u, I * u)) (by fun_prop)
lemma continuousOn_cosKernel (a : UnitAddCircle) : ContinuousOn (cosKernel a) (Ioi 0) := by
induction a using QuotientAddGroup.induction_on with | H a' =>
apply continuous_re.comp_continuousOn (f := fun x ↦ (cosKernel a' x : ℂ))
simp only [cosKernel_def]
refine continuousOn_of_forall_continuousAt (fun x hx ↦ ?_)
exact (continuousAt_jacobiTheta₂ a' <| by simpa).comp
(f := fun u : ℝ ↦ ((a' : ℂ), I * u)) (by fun_prop)
lemma evenKernel_functional_equation (a : UnitAddCircle) (x : ℝ) :
evenKernel a x = 1 / x ^ (1 / 2 : ℝ) * cosKernel a (1 / x) := by
rcases le_or_lt x 0 with hx | hx
· rw [evenKernel_undef _ hx, cosKernel_undef, mul_zero]
exact div_nonpos_of_nonneg_of_nonpos zero_le_one hx
induction a using QuotientAddGroup.induction_on with | H a =>
rw [← ofReal_inj, ofReal_mul, evenKernel_def, cosKernel_def, jacobiTheta₂_functional_equation]
have h1 : I * ↑(1 / x) = -1 / (I * x) := by
push_cast
rw [← div_div, mul_one_div, div_I, neg_one_mul, neg_neg]
have hx' : I * x ≠ 0 := mul_ne_zero I_ne_zero (ofReal_ne_zero.mpr hx.ne')
have h2 : a * I * x / (I * x) = a := by
rw [div_eq_iff hx']
ring
have h3 : 1 / (-I * (I * x)) ^ (1 / 2 : ℂ) = 1 / ↑(x ^ (1 / 2 : ℝ)) := by
rw [neg_mul, ← mul_assoc, I_mul_I, neg_one_mul, neg_neg,ofReal_cpow hx.le, ofReal_div,
ofReal_one, ofReal_ofNat]
have h4 : -π * I * (a * I * x) ^ 2 / (I * x) = - (-π * a ^ 2 * x) := by
rw [mul_pow, mul_pow, I_sq, div_eq_iff hx']
ring
rw [h1, h2, h3, h4, ← mul_assoc, mul_comm (cexp _), mul_assoc _ (cexp _) (cexp _),
← Complex.exp_add, neg_add_cancel, Complex.exp_zero, mul_one, ofReal_div, ofReal_one]
end kernel_defs
section asymp
/-!
## Formulae for the kernels as sums
-/
lemma hasSum_int_evenKernel (a : ℝ) {t : ℝ} (ht : 0 < t) :
HasSum (fun n : ℤ ↦ rexp (-π * (n + a) ^ 2 * t)) (evenKernel a t) := by
rw [← hasSum_ofReal, evenKernel_def]
have (n : ℤ) : cexp (-(π * (n + a) ^ 2 * t)) = cexp (-(π * a ^ 2 * t)) *
jacobiTheta₂_term n (a * I * t) (I * t) := by
rw [jacobiTheta₂_term, ← Complex.exp_add]
ring_nf
simp
simpa [this] using (hasSum_jacobiTheta₂_term _ (by simpa)).mul_left _
lemma hasSum_int_cosKernel (a : ℝ) {t : ℝ} (ht : 0 < t) :
HasSum (fun n : ℤ ↦ cexp (2 * π * I * a * n) * rexp (-π * n ^ 2 * t)) ↑(cosKernel a t) := by
rw [cosKernel_def a t]
have (n : ℤ) : cexp (2 * π * I * a * n) * cexp (-(π * n ^ 2 * t)) =
jacobiTheta₂_term n a (I * ↑t) := by
rw [jacobiTheta₂_term, ← Complex.exp_add]
ring_nf
simp [sub_eq_add_neg]
simpa [this] using hasSum_jacobiTheta₂_term _ (by simpa)
/-- Modified version of `hasSum_int_evenKernel` omitting the constant term at `∞`. -/
lemma hasSum_int_evenKernel₀ (a : ℝ) {t : ℝ} (ht : 0 < t) :
HasSum (fun n : ℤ ↦ if n + a = 0 then 0 else rexp (-π * (n + a) ^ 2 * t))
(evenKernel a t - if (a : UnitAddCircle) = 0 then 1 else 0) := by
haveI := Classical.propDecidable -- speed up instance search for `if / then / else`
simp_rw [AddCircle.coe_eq_zero_iff, zsmul_one]
split_ifs with h
· obtain ⟨k, rfl⟩ := h
simpa [← Int.cast_add, add_eq_zero_iff_eq_neg]
using hasSum_ite_sub_hasSum (hasSum_int_evenKernel (k : ℝ) ht) (-k)
· suffices ∀ (n : ℤ), n + a ≠ 0 by simpa [this] using hasSum_int_evenKernel a ht
contrapose! h
let ⟨n, hn⟩ := h
exact ⟨-n, by simpa [neg_eq_iff_add_eq_zero]⟩
lemma hasSum_int_cosKernel₀ (a : ℝ) {t : ℝ} (ht : 0 < t) :
HasSum (fun n : ℤ ↦ if n = 0 then 0 else cexp (2 * π * I * a * n) * rexp (-π * n ^ 2 * t))
(↑(cosKernel a t) - 1) := by
simpa using hasSum_ite_sub_hasSum (hasSum_int_cosKernel a ht) 0
lemma hasSum_nat_cosKernel₀ (a : ℝ) {t : ℝ} (ht : 0 < t) :
HasSum (fun n : ℕ ↦ 2 * Real.cos (2 * π * a * (n + 1)) * rexp (-π * (n + 1) ^ 2 * t))
(cosKernel a t - 1) := by
rw [← hasSum_ofReal, ofReal_sub, ofReal_one]
have := (hasSum_int_cosKernel a ht).nat_add_neg
rw [← hasSum_nat_add_iff' 1] at this
simp_rw [Finset.sum_range_one, Nat.cast_zero, neg_zero, Int.cast_zero, zero_pow two_ne_zero,
mul_zero, zero_mul, Complex.exp_zero, Real.exp_zero, ofReal_one, mul_one, Int.cast_neg,
Int.cast_natCast, neg_sq, ← add_mul, add_sub_assoc, ← sub_sub, sub_self, zero_sub,
← sub_eq_add_neg, mul_neg] at this
refine this.congr_fun fun n ↦ ?_
push_cast
rw [Complex.cos, mul_div_cancel₀ _ two_ne_zero]
congr 3 <;> ring
/-!
## Asymptotics of the kernels as `t → ∞`
-/
/-- The function `evenKernel a - L` has exponential decay at `+∞`, where `L = 1` if
`a = 0` and `L = 0` otherwise. -/
lemma isBigO_atTop_evenKernel_sub (a : UnitAddCircle) : ∃ p : ℝ, 0 < p ∧
(evenKernel a · - (if a = 0 then 1 else 0)) =O[atTop] (rexp <| -p * ·) := by
induction a using QuotientAddGroup.induction_on with | H b =>
obtain ⟨p, hp, hp'⟩ := HurwitzKernelBounds.isBigO_atTop_F_int_zero_sub b
refine ⟨p, hp, (EventuallyEq.isBigO ?_).trans hp'⟩
filter_upwards [eventually_gt_atTop 0] with t h
simp [← (hasSum_int_evenKernel b h).tsum_eq, HurwitzKernelBounds.F_int, HurwitzKernelBounds.f_int]
/-- The function `cosKernel a - 1` has exponential decay at `+∞`, for any `a`. -/
lemma isBigO_atTop_cosKernel_sub (a : UnitAddCircle) :
∃ p, 0 < p ∧ IsBigO atTop (cosKernel a · - 1) (fun x ↦ Real.exp (-p * x)) := by
induction a using QuotientAddGroup.induction_on with | H a =>
obtain ⟨p, hp, hp'⟩ := HurwitzKernelBounds.isBigO_atTop_F_nat_zero_sub zero_le_one
refine ⟨p, hp, (Eventually.isBigO ?_).trans (hp'.const_mul_left 2)⟩
filter_upwards [eventually_gt_atTop 0] with t ht
simp only [eq_false_intro one_ne_zero, if_false, sub_zero,
← (hasSum_nat_cosKernel₀ a ht).tsum_eq, HurwitzKernelBounds.F_nat]
apply tsum_of_norm_bounded ((HurwitzKernelBounds.summable_f_nat 0 1 ht).hasSum.mul_left 2)
intro n
rw [norm_mul, norm_mul, norm_two, mul_assoc, mul_le_mul_iff_of_pos_left two_pos,
norm_of_nonneg (exp_pos _).le, HurwitzKernelBounds.f_nat, pow_zero, one_mul, Real.norm_eq_abs]
exact mul_le_of_le_one_left (exp_pos _).le (abs_cos_le_one _)
end asymp
section FEPair
/-!
## Construction of a FE-pair
-/
/-- A `WeakFEPair` structure with `f = evenKernel a` and `g = cosKernel a`. -/
def hurwitzEvenFEPair (a : UnitAddCircle) : WeakFEPair ℂ where
f := ofReal ∘ evenKernel a
g := ofReal ∘ cosKernel a
hf_int := (continuous_ofReal.comp_continuousOn (continuousOn_evenKernel a)).locallyIntegrableOn
measurableSet_Ioi
hg_int := (continuous_ofReal.comp_continuousOn (continuousOn_cosKernel a)).locallyIntegrableOn
measurableSet_Ioi
k := 1 / 2
hk := one_half_pos
ε := 1
hε := one_ne_zero
f₀ := if a = 0 then 1 else 0
hf_top r := by
let ⟨v, hv, hv'⟩ := isBigO_atTop_evenKernel_sub a
rw [← isBigO_norm_left] at hv' ⊢
conv at hv' =>
enter [2, x]; rw [← norm_real, ofReal_sub, apply_ite ((↑) : ℝ → ℂ), ofReal_one, ofReal_zero]
exact hv'.trans (isLittleO_exp_neg_mul_rpow_atTop hv _).isBigO
g₀ := 1
hg_top r := by
obtain ⟨p, hp, hp'⟩ := isBigO_atTop_cosKernel_sub a
simpa using isBigO_ofReal_left.mpr <| hp'.trans (isLittleO_exp_neg_mul_rpow_atTop hp r).isBigO
h_feq x hx := by simp [← ofReal_mul, evenKernel_functional_equation, inv_rpow (le_of_lt hx)]
@[simp]
lemma hurwitzEvenFEPair_zero_symm :
(hurwitzEvenFEPair 0).symm = hurwitzEvenFEPair 0 := by
unfold hurwitzEvenFEPair WeakFEPair.symm
congr 1 <;> simp [evenKernel_eq_cosKernel_of_zero]
@[simp]
lemma hurwitzEvenFEPair_neg (a : UnitAddCircle) : hurwitzEvenFEPair (-a) = hurwitzEvenFEPair a := by
unfold hurwitzEvenFEPair
congr 1 <;> simp [Function.comp_def]
/-!
## Definition of the completed even Hurwitz zeta function
-/
/--
The meromorphic function of `s` which agrees with
`1 / 2 * Gamma (s / 2) * π ^ (-s / 2) * ∑' (n : ℤ), 1 / |n + a| ^ s` for `1 < re s`.
-/
def completedHurwitzZetaEven (a : UnitAddCircle) (s : ℂ) : ℂ :=
((hurwitzEvenFEPair a).Λ (s / 2)) / 2
/-- The entire function differing from `completedHurwitzZetaEven a s` by a linear combination of
`1 / s` and `1 / (1 - s)`. -/
def completedHurwitzZetaEven₀ (a : UnitAddCircle) (s : ℂ) : ℂ :=
((hurwitzEvenFEPair a).Λ₀ (s / 2)) / 2
lemma completedHurwitzZetaEven_eq (a : UnitAddCircle) (s : ℂ) :
completedHurwitzZetaEven a s =
completedHurwitzZetaEven₀ a s - (if a = 0 then 1 else 0) / s - 1 / (1 - s) := by
rw [completedHurwitzZetaEven, WeakFEPair.Λ, sub_div, sub_div]
congr 1
· change completedHurwitzZetaEven₀ a s - (1 / (s / 2)) • (if a = 0 then 1 else 0) / 2 =
completedHurwitzZetaEven₀ a s - (if a = 0 then 1 else 0) / s
rw [smul_eq_mul, mul_comm, mul_div_assoc, div_div, div_mul_cancel₀ _ two_ne_zero, mul_one_div]
· change (1 / (↑(1 / 2 : ℝ) - s / 2)) • 1 / 2 = 1 / (1 - s)
push_cast
rw [smul_eq_mul, mul_one, ← sub_div, div_div, div_mul_cancel₀ _ two_ne_zero]
/--
The meromorphic function of `s` which agrees with
`Gamma (s / 2) * π ^ (-s / 2) * ∑' n : ℕ, cos (2 * π * a * n) / n ^ s` for `1 < re s`.
-/
def completedCosZeta (a : UnitAddCircle) (s : ℂ) : ℂ :=
((hurwitzEvenFEPair a).symm.Λ (s / 2)) / 2
/-- The entire function differing from `completedCosZeta a s` by a linear combination of
`1 / s` and `1 / (1 - s)`. -/
def completedCosZeta₀ (a : UnitAddCircle) (s : ℂ) : ℂ :=
((hurwitzEvenFEPair a).symm.Λ₀ (s / 2)) / 2
lemma completedCosZeta_eq (a : UnitAddCircle) (s : ℂ) :
completedCosZeta a s =
completedCosZeta₀ a s - 1 / s - (if a = 0 then 1 else 0) / (1 - s) := by
rw [completedCosZeta, WeakFEPair.Λ, sub_div, sub_div]
congr 1
· rw [completedCosZeta₀, WeakFEPair.symm, hurwitzEvenFEPair, smul_eq_mul, mul_one, div_div,
div_mul_cancel₀ _ (two_ne_zero' ℂ)]
· simp_rw [WeakFEPair.symm, hurwitzEvenFEPair, push_cast, inv_one, smul_eq_mul,
mul_comm _ (if _ then _ else _), mul_div_assoc, div_div, ← sub_div,
div_mul_cancel₀ _ (two_ne_zero' ℂ), mul_one_div]
/-!
## Parity and functional equations
-/
@[simp]
lemma completedHurwitzZetaEven_neg (a : UnitAddCircle) (s : ℂ) :
completedHurwitzZetaEven (-a) s = completedHurwitzZetaEven a s := by
simp [completedHurwitzZetaEven]
@[simp]
lemma completedHurwitzZetaEven₀_neg (a : UnitAddCircle) (s : ℂ) :
completedHurwitzZetaEven₀ (-a) s = completedHurwitzZetaEven₀ a s := by
simp [completedHurwitzZetaEven₀]
@[simp]
lemma completedCosZeta_neg (a : UnitAddCircle) (s : ℂ) :
completedCosZeta (-a) s = completedCosZeta a s := by
simp [completedCosZeta]
@[simp]
lemma completedCosZeta₀_neg (a : UnitAddCircle) (s : ℂ) :
completedCosZeta₀ (-a) s = completedCosZeta₀ a s := by
simp [completedCosZeta₀]
/-- Functional equation for the even Hurwitz zeta function. -/
lemma completedHurwitzZetaEven_one_sub (a : UnitAddCircle) (s : ℂ) :
completedHurwitzZetaEven a (1 - s) = completedCosZeta a s := by
rw [completedHurwitzZetaEven, completedCosZeta, sub_div,
(by norm_num : (1 / 2 : ℂ) = ↑(1 / 2 : ℝ)),
(by rfl : (1 / 2 : ℝ) = (hurwitzEvenFEPair a).k),
(hurwitzEvenFEPair a).functional_equation (s / 2),
(by rfl : (hurwitzEvenFEPair a).ε = 1),
one_smul]
/-- Functional equation for the even Hurwitz zeta function with poles removed. -/
lemma completedHurwitzZetaEven₀_one_sub (a : UnitAddCircle) (s : ℂ) :
completedHurwitzZetaEven₀ a (1 - s) = completedCosZeta₀ a s := by
rw [completedHurwitzZetaEven₀, completedCosZeta₀, sub_div,
(by norm_num : (1 / 2 : ℂ) = ↑(1 / 2 : ℝ)),
(by rfl : (1 / 2 : ℝ) = (hurwitzEvenFEPair a).k),
(hurwitzEvenFEPair a).functional_equation₀ (s / 2),
(by rfl : (hurwitzEvenFEPair a).ε = 1),
one_smul]
/-- Functional equation for the even Hurwitz zeta function (alternative form). -/
lemma completedCosZeta_one_sub (a : UnitAddCircle) (s : ℂ) :
completedCosZeta a (1 - s) = completedHurwitzZetaEven a s := by
rw [← completedHurwitzZetaEven_one_sub, sub_sub_cancel]
/-- Functional equation for the even Hurwitz zeta function with poles removed (alternative form). -/
lemma completedCosZeta₀_one_sub (a : UnitAddCircle) (s : ℂ) :
completedCosZeta₀ a (1 - s) = completedHurwitzZetaEven₀ a s := by
rw [← completedHurwitzZetaEven₀_one_sub, sub_sub_cancel]
end FEPair
/-!
## Differentiability and residues
-/
section FEPair
/--
The even Hurwitz completed zeta is differentiable away from `s = 0` and `s = 1` (and also at
`s = 0` if `a ≠ 0`)
-/
lemma differentiableAt_completedHurwitzZetaEven
(a : UnitAddCircle) {s : ℂ} (hs : s ≠ 0 ∨ a ≠ 0) (hs' : s ≠ 1) :
DifferentiableAt ℂ (completedHurwitzZetaEven a) s := by
refine (((hurwitzEvenFEPair a).differentiableAt_Λ ?_ (Or.inl ?_)).comp s
(differentiableAt_id.div_const _)).div_const _
· rcases hs with h | h <;>
simp [hurwitzEvenFEPair, h]
· change s / 2 ≠ ↑(1 / 2 : ℝ)
rw [ofReal_div, ofReal_one, ofReal_ofNat]
exact hs' ∘ (div_left_inj' two_ne_zero).mp
lemma differentiable_completedHurwitzZetaEven₀ (a : UnitAddCircle) :
Differentiable ℂ (completedHurwitzZetaEven₀ a) :=
((hurwitzEvenFEPair a).differentiable_Λ₀.comp (differentiable_id.div_const _)).div_const _
/-- The difference of two completed even Hurwitz zeta functions is differentiable at `s = 1`. -/
lemma differentiableAt_one_completedHurwitzZetaEven_sub_completedHurwitzZetaEven
(a b : UnitAddCircle) :
DifferentiableAt ℂ (fun s ↦ completedHurwitzZetaEven a s - completedHurwitzZetaEven b s) 1 := by
have (s) : completedHurwitzZetaEven a s - completedHurwitzZetaEven b s =
completedHurwitzZetaEven₀ a s - completedHurwitzZetaEven₀ b s -
((if a = 0 then 1 else 0) - (if b = 0 then 1 else 0)) / s := by
simp_rw [completedHurwitzZetaEven_eq, sub_div]
abel
rw [funext this]
refine .sub ?_ <| (differentiable_const _ _).div (differentiable_id _) one_ne_zero
apply DifferentiableAt.sub <;> apply differentiable_completedHurwitzZetaEven₀
lemma differentiableAt_completedCosZeta
(a : UnitAddCircle) {s : ℂ} (hs : s ≠ 0) (hs' : s ≠ 1 ∨ a ≠ 0) :
DifferentiableAt ℂ (completedCosZeta a) s := by
refine (((hurwitzEvenFEPair a).symm.differentiableAt_Λ (Or.inl ?_) ?_).comp s
(differentiableAt_id.div_const _)).div_const _
· exact div_ne_zero_iff.mpr ⟨hs, two_ne_zero⟩
· change s / 2 ≠ ↑(1 / 2 : ℝ) ∨ (if a = 0 then 1 else 0) = 0
refine Or.imp (fun h ↦ ?_) (fun ha ↦ ?_) hs'
· simpa [push_cast] using h ∘ (div_left_inj' two_ne_zero).mp
· simpa
lemma differentiable_completedCosZeta₀ (a : UnitAddCircle) :
Differentiable ℂ (completedCosZeta₀ a) :=
((hurwitzEvenFEPair a).symm.differentiable_Λ₀.comp (differentiable_id.div_const _)).div_const _
private lemma tendsto_div_two_punctured_nhds (a : ℂ) :
Tendsto (fun s : ℂ ↦ s / 2) (𝓝[≠] a) (𝓝[≠] (a / 2)) :=
le_of_eq ((Homeomorph.mulRight₀ _ (inv_ne_zero (two_ne_zero' ℂ))).map_punctured_nhds_eq a)
/-- The residue of `completedHurwitzZetaEven a s` at `s = 1` is equal to `1`. -/
lemma completedHurwitzZetaEven_residue_one (a : UnitAddCircle) :
Tendsto (fun s ↦ (s - 1) * completedHurwitzZetaEven a s) (𝓝[≠] 1) (𝓝 1) := by
have h1 : Tendsto (fun s : ℂ ↦ (s - ↑(1 / 2 : ℝ)) * _) (𝓝[≠] ↑(1 / 2 : ℝ))
(𝓝 ((1 : ℂ) * (1 : ℂ))) := (hurwitzEvenFEPair a).Λ_residue_k
simp only [push_cast, one_mul] at h1
refine (h1.comp <| tendsto_div_two_punctured_nhds 1).congr (fun s ↦ ?_)
rw [completedHurwitzZetaEven, Function.comp_apply, ← sub_div, div_mul_eq_mul_div, mul_div_assoc]
/-- The residue of `completedHurwitzZetaEven a s` at `s = 0` is equal to `-1` if `a = 0`, and `0`
otherwise. -/
lemma completedHurwitzZetaEven_residue_zero (a : UnitAddCircle) :
Tendsto (fun s ↦ s * completedHurwitzZetaEven a s) (𝓝[≠] 0) (𝓝 (if a = 0 then -1 else 0)) := by
have h1 : Tendsto (fun s : ℂ ↦ s * _) (𝓝[≠] 0)
(𝓝 (-(if a = 0 then 1 else 0))) := (hurwitzEvenFEPair a).Λ_residue_zero
have : -(if a = 0 then (1 : ℂ) else 0) = (if a = 0 then -1 else 0) := by { split_ifs <;> simp }
simp only [this, push_cast, one_mul] at h1
refine (h1.comp <| zero_div (2 : ℂ) ▸ (tendsto_div_two_punctured_nhds 0)).congr (fun s ↦ ?_)
simp [completedHurwitzZetaEven, div_mul_eq_mul_div, mul_div_assoc]
lemma completedCosZeta_residue_zero (a : UnitAddCircle) :
Tendsto (fun s ↦ s * completedCosZeta a s) (𝓝[≠] 0) (𝓝 (-1)) := by
have h1 : Tendsto (fun s : ℂ ↦ s * _) (𝓝[≠] 0)
(𝓝 (-1)) := (hurwitzEvenFEPair a).symm.Λ_residue_zero
refine (h1.comp <| zero_div (2 : ℂ) ▸ (tendsto_div_two_punctured_nhds 0)).congr (fun s ↦ ?_)
simp [completedCosZeta, div_mul_eq_mul_div, mul_div_assoc]
end FEPair
/-!
## Relation to the Dirichlet series for `1 < re s`
-/
/-- Formula for `completedCosZeta` as a Dirichlet series in the convergence range
(first version, with sum over `ℤ`). -/
lemma hasSum_int_completedCosZeta (a : ℝ) {s : ℂ} (hs : 1 < re s) :
HasSum (fun n : ℤ ↦ Gammaℝ s * cexp (2 * π * I * a * n) / (↑|n| : ℂ) ^ s / 2)
(completedCosZeta a s) := by
let c (n : ℤ) : ℂ := cexp (2 * π * I * a * n) / 2
have hF t (ht : 0 < t) : HasSum (fun n : ℤ ↦ if n = 0 then 0 else c n * rexp (-π * n ^ 2 * t))
((cosKernel a t - 1) / 2) := by
refine ((hasSum_int_cosKernel₀ a ht).div_const 2).congr_fun fun n ↦ ?_
split_ifs <;> simp [c, div_mul_eq_mul_div]
simp only [← Int.cast_eq_zero (α := ℝ)] at hF
rw [show completedCosZeta a s = mellin (fun t ↦ (cosKernel a t - 1 : ℂ) / 2) (s / 2) by
rw [mellin_div_const, completedCosZeta]
congr 1
refine ((hurwitzEvenFEPair a).symm.hasMellin (?_ : 1 / 2 < (s / 2).re)).2.symm
rwa [div_ofNat_re, div_lt_div_iff_of_pos_right two_pos]]
refine (hasSum_mellin_pi_mul_sq (zero_lt_one.trans hs) hF ?_).congr_fun fun n ↦ ?_
· apply (((summable_one_div_int_add_rpow 0 s.re).mpr hs).div_const 2).of_norm_bounded
intro i
simp only [c, (by { push_cast; ring } : 2 * π * I * a * i = ↑(2 * π * a * i) * I), norm_div,
RCLike.norm_ofNat, norm_norm, Complex.norm_exp_ofReal_mul_I, add_zero, norm_one,
norm_of_nonneg (by positivity : 0 ≤ |(i : ℝ)| ^ s.re), div_right_comm, le_rfl]
· simp [c, ← Int.cast_abs, div_right_comm, mul_div_assoc]
/-- Formula for `completedCosZeta` as a Dirichlet series in the convergence range
(second version, with sum over `ℕ`). -/
lemma hasSum_nat_completedCosZeta (a : ℝ) {s : ℂ} (hs : 1 < re s) :
HasSum (fun n : ℕ ↦ if n = 0 then 0 else Gammaℝ s * Real.cos (2 * π * a * n) / (n : ℂ) ^ s)
(completedCosZeta a s) := by
have aux : ((|0| : ℤ) : ℂ) ^ s = 0 := by
rw [abs_zero, Int.cast_zero, zero_cpow (ne_zero_of_one_lt_re hs)]
have hint := (hasSum_int_completedCosZeta a hs).nat_add_neg
rw [aux, div_zero, zero_div, add_zero] at hint
refine hint.congr_fun fun n ↦ ?_
split_ifs with h
· simp only [h, Nat.cast_zero, aux, div_zero, zero_div, neg_zero, zero_add]
· simp only [ofReal_cos, ofReal_mul, ofReal_ofNat, ofReal_natCast, Complex.cos,
show 2 * π * a * n * I = 2 * π * I * a * n by ring, neg_mul, mul_div_assoc,
div_right_comm _ (2 : ℂ), Int.cast_natCast, Nat.abs_cast, Int.cast_neg, mul_neg, abs_neg, ←
mul_add, ← add_div]
/-- Formula for `completedHurwitzZetaEven` as a Dirichlet series in the convergence range. -/
lemma hasSum_int_completedHurwitzZetaEven (a : ℝ) {s : ℂ} (hs : 1 < re s) :
HasSum (fun n : ℤ ↦ Gammaℝ s / (↑|n + a| : ℂ) ^ s / 2) (completedHurwitzZetaEven a s) := by
have hF (t : ℝ) (ht : 0 < t) : HasSum (fun n : ℤ ↦ if n + a = 0 then 0
else (1 / 2 : ℂ) * rexp (-π * (n + a) ^ 2 * t))
((evenKernel a t - (if (a : UnitAddCircle) = 0 then 1 else 0 : ℝ)) / 2) := by
refine (ofReal_sub .. ▸ (hasSum_ofReal.mpr (hasSum_int_evenKernel₀ a ht)).div_const
2).congr_fun fun n ↦ ?_
split_ifs
· rw [ofReal_zero, zero_div]
· rw [mul_comm, mul_one_div]
rw [show completedHurwitzZetaEven a s = mellin (fun t ↦ ((evenKernel (↑a) t : ℂ) -
↑(if (a : UnitAddCircle) = 0 then 1 else 0 : ℝ)) / 2) (s / 2) by
simp_rw [mellin_div_const, apply_ite ofReal, ofReal_one, ofReal_zero]
refine congr_arg (· / 2) ((hurwitzEvenFEPair a).hasMellin (?_ : 1 / 2 < (s / 2).re)).2.symm
rwa [div_ofNat_re, div_lt_div_iff_of_pos_right two_pos]]
refine (hasSum_mellin_pi_mul_sq (zero_lt_one.trans hs) hF ?_).congr_fun fun n ↦ ?_
· simp_rw [← mul_one_div ‖_‖]
apply Summable.mul_left
rwa [summable_one_div_int_add_rpow]
· rw [mul_one_div, div_right_comm]
/-!
## The un-completed even Hurwitz zeta
-/
/-- Technical lemma which will give us differentiability of Hurwitz zeta at `s = 0`. -/
lemma differentiableAt_update_of_residue
{Λ : ℂ → ℂ} (hf : ∀ (s : ℂ) (_ : s ≠ 0) (_ : s ≠ 1), DifferentiableAt ℂ Λ s)
{L : ℂ} (h_lim : Tendsto (fun s ↦ s * Λ s) (𝓝[≠] 0) (𝓝 L)) (s : ℂ) (hs' : s ≠ 1) :
DifferentiableAt ℂ (Function.update (fun s ↦ Λ s / Gammaℝ s) 0 (L / 2)) s := by
have claim (t) (ht : t ≠ 0) (ht' : t ≠ 1) : DifferentiableAt ℂ (fun u : ℂ ↦ Λ u / Gammaℝ u) t :=
(hf t ht ht').mul differentiable_Gammaℝ_inv.differentiableAt
have claim2 : Tendsto (fun s : ℂ ↦ Λ s / Gammaℝ s) (𝓝[≠] 0) (𝓝 <| L / 2) := by
refine Tendsto.congr' ?_ (h_lim.div Gammaℝ_residue_zero two_ne_zero)
filter_upwards [self_mem_nhdsWithin] with s (hs : s ≠ 0)
rw [Pi.div_apply, ← div_div, mul_div_cancel_left₀ _ hs]
rcases ne_or_eq s 0 with hs | rfl
· -- Easy case : `s ≠ 0`
refine (claim s hs hs').congr_of_eventuallyEq ?_
filter_upwards [isOpen_compl_singleton.mem_nhds hs] with x hx
simp [Function.update_of_ne hx]
· -- Hard case : `s = 0`
simp_rw [← claim2.limUnder_eq]
have S_nhds : {(1 : ℂ)}ᶜ ∈ 𝓝 (0 : ℂ) := isOpen_compl_singleton.mem_nhds hs'
refine ((Complex.differentiableOn_update_limUnder_of_isLittleO S_nhds
(fun t ht ↦ (claim t ht.2 ht.1).differentiableWithinAt) ?_) 0 hs').differentiableAt S_nhds
simp only [Gammaℝ, zero_div, div_zero, Complex.Gamma_zero, mul_zero, cpow_zero, sub_zero]
-- Remains to show completed zeta is `o (s ^ (-1))` near 0.
refine (isBigO_const_of_tendsto claim2 <| one_ne_zero' ℂ).trans_isLittleO ?_
rw [isLittleO_iff_tendsto']
· exact Tendsto.congr (fun x ↦ by rw [← one_div, one_div_one_div]) nhdsWithin_le_nhds
· exact eventually_of_mem self_mem_nhdsWithin fun x hx hx' ↦ (hx <| inv_eq_zero.mp hx').elim
/-- The even part of the Hurwitz zeta function, i.e. the meromorphic function of `s` which agrees
with `1 / 2 * ∑' (n : ℤ), 1 / |n + a| ^ s` for `1 < re s` -/
noncomputable def hurwitzZetaEven (a : UnitAddCircle) :=
Function.update (fun s ↦ completedHurwitzZetaEven a s / Gammaℝ s)
0 (if a = 0 then -1 / 2 else 0)
lemma hurwitzZetaEven_def_of_ne_or_ne {a : UnitAddCircle} {s : ℂ} (h : a ≠ 0 ∨ s ≠ 0) :
hurwitzZetaEven a s = completedHurwitzZetaEven a s / Gammaℝ s := by
rw [hurwitzZetaEven]
rcases ne_or_eq s 0 with h' | rfl
· rw [Function.update_of_ne h']
· simpa [Gammaℝ] using h
lemma hurwitzZetaEven_apply_zero (a : UnitAddCircle) :
hurwitzZetaEven a 0 = if a = 0 then -1 / 2 else 0 :=
Function.update_self ..
lemma hurwitzZetaEven_neg (a : UnitAddCircle) (s : ℂ) :
hurwitzZetaEven (-a) s = hurwitzZetaEven a s := by
simp [hurwitzZetaEven]
/-- The trivial zeroes of the even Hurwitz zeta function. -/
theorem hurwitzZetaEven_neg_two_mul_nat_add_one (a : UnitAddCircle) (n : ℕ) :
hurwitzZetaEven a (-2 * (n + 1)) = 0 := by
have : (-2 : ℂ) * (n + 1) ≠ 0 :=
mul_ne_zero (neg_ne_zero.mpr two_ne_zero) (Nat.cast_add_one_ne_zero n)
rw [hurwitzZetaEven, Function.update_of_ne this, Gammaℝ_eq_zero_iff.mpr ⟨n + 1, by simp⟩,
div_zero]
/-- The Hurwitz zeta function is differentiable everywhere except at `s = 1`. This is true
even in the delicate case `a = 0` and `s = 0` (where the completed zeta has a pole, but this is
cancelled out by the Gamma factor). -/
lemma differentiableAt_hurwitzZetaEven (a : UnitAddCircle) {s : ℂ} (hs' : s ≠ 1) :
DifferentiableAt ℂ (hurwitzZetaEven a) s := by
have := differentiableAt_update_of_residue
(fun t ht ht' ↦ differentiableAt_completedHurwitzZetaEven a (Or.inl ht) ht')
(completedHurwitzZetaEven_residue_zero a) s hs'
simp_rw [div_eq_mul_inv, ite_mul, zero_mul, ← div_eq_mul_inv] at this
exact this
lemma hurwitzZetaEven_residue_one (a : UnitAddCircle) :
Tendsto (fun s ↦ (s - 1) * hurwitzZetaEven a s) (𝓝[≠] 1) (𝓝 1) := by
have : Tendsto (fun s ↦ (s - 1) * completedHurwitzZetaEven a s / Gammaℝ s) (𝓝[≠] 1) (𝓝 1) := by
simpa only [Gammaℝ_one, inv_one, mul_one] using (completedHurwitzZetaEven_residue_one a).mul
<| (differentiable_Gammaℝ_inv.continuous.tendsto _).mono_left nhdsWithin_le_nhds
| refine this.congr' ?_
filter_upwards [eventually_ne_nhdsWithin one_ne_zero] with s hs
simp [hurwitzZetaEven_def_of_ne_or_ne (Or.inr hs), mul_div_assoc]
lemma differentiableAt_hurwitzZetaEven_sub_one_div (a : UnitAddCircle) :
DifferentiableAt ℂ (fun s ↦ hurwitzZetaEven a s - 1 / (s - 1) / Gammaℝ s) 1 := by
| Mathlib/NumberTheory/LSeries/HurwitzZetaEven.lean | 623 | 628 |
/-
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, Sébastien Gouëzel,
Rémy Degenne, David Loeffler
-/
import Mathlib.Analysis.SpecialFunctions.Pow.Real
/-!
# Power function on `ℝ≥0` and `ℝ≥0∞`
We construct the power functions `x ^ y` where
* `x` is a nonnegative real number and `y` is a real number;
* `x` is a number from `[0, +∞]` (a.k.a. `ℝ≥0∞`) and `y` is a real number.
We also prove basic properties of these functions.
-/
noncomputable section
open Real NNReal ENNReal ComplexConjugate Finset Function Set
namespace NNReal
variable {x : ℝ≥0} {w y z : ℝ}
/-- The nonnegative real power function `x^y`, defined for `x : ℝ≥0` and `y : ℝ` as the
restriction of the real power function. For `x > 0`, it is equal to `exp (y log x)`. For `x = 0`,
one sets `0 ^ 0 = 1` and `0 ^ y = 0` for `y ≠ 0`. -/
noncomputable def rpow (x : ℝ≥0) (y : ℝ) : ℝ≥0 :=
⟨(x : ℝ) ^ y, Real.rpow_nonneg x.2 y⟩
noncomputable instance : Pow ℝ≥0 ℝ :=
⟨rpow⟩
@[simp]
theorem rpow_eq_pow (x : ℝ≥0) (y : ℝ) : rpow x y = x ^ y :=
rfl
@[simp, norm_cast]
theorem coe_rpow (x : ℝ≥0) (y : ℝ) : ((x ^ y : ℝ≥0) : ℝ) = (x : ℝ) ^ y :=
rfl
@[simp]
theorem rpow_zero (x : ℝ≥0) : x ^ (0 : ℝ) = 1 :=
NNReal.eq <| Real.rpow_zero _
@[simp]
theorem rpow_eq_zero_iff {x : ℝ≥0} {y : ℝ} : x ^ y = 0 ↔ x = 0 ∧ y ≠ 0 := by
rw [← NNReal.coe_inj, coe_rpow, ← NNReal.coe_eq_zero]
exact Real.rpow_eq_zero_iff_of_nonneg x.2
lemma rpow_eq_zero (hy : y ≠ 0) : x ^ y = 0 ↔ x = 0 := by simp [hy]
@[simp]
theorem zero_rpow {x : ℝ} (h : x ≠ 0) : (0 : ℝ≥0) ^ x = 0 :=
NNReal.eq <| Real.zero_rpow h
@[simp]
theorem rpow_one (x : ℝ≥0) : x ^ (1 : ℝ) = x :=
NNReal.eq <| Real.rpow_one _
lemma rpow_neg (x : ℝ≥0) (y : ℝ) : x ^ (-y) = (x ^ y)⁻¹ :=
NNReal.eq <| Real.rpow_neg x.2 _
@[simp, norm_cast]
lemma rpow_natCast (x : ℝ≥0) (n : ℕ) : x ^ (n : ℝ) = x ^ n :=
NNReal.eq <| by simpa only [coe_rpow, coe_pow] using Real.rpow_natCast x n
@[simp, norm_cast]
lemma rpow_intCast (x : ℝ≥0) (n : ℤ) : x ^ (n : ℝ) = x ^ n := by
cases n <;> simp only [Int.ofNat_eq_coe, Int.cast_natCast, rpow_natCast, zpow_natCast,
Int.cast_negSucc, rpow_neg, zpow_negSucc]
@[simp]
theorem one_rpow (x : ℝ) : (1 : ℝ≥0) ^ x = 1 :=
NNReal.eq <| Real.one_rpow _
theorem rpow_add {x : ℝ≥0} (hx : x ≠ 0) (y z : ℝ) : x ^ (y + z) = x ^ y * x ^ z :=
NNReal.eq <| Real.rpow_add ((NNReal.coe_pos.trans pos_iff_ne_zero).mpr hx) _ _
theorem rpow_add' (h : y + z ≠ 0) (x : ℝ≥0) : x ^ (y + z) = x ^ y * x ^ z :=
NNReal.eq <| Real.rpow_add' x.2 h
lemma rpow_add_intCast (hx : x ≠ 0) (y : ℝ) (n : ℤ) : x ^ (y + n) = x ^ y * x ^ n := by
ext; exact Real.rpow_add_intCast (mod_cast hx) _ _
lemma rpow_add_natCast (hx : x ≠ 0) (y : ℝ) (n : ℕ) : x ^ (y + n) = x ^ y * x ^ n := by
ext; exact Real.rpow_add_natCast (mod_cast hx) _ _
lemma rpow_sub_intCast (hx : x ≠ 0) (y : ℝ) (n : ℕ) : x ^ (y - n) = x ^ y / x ^ n := by
ext; exact Real.rpow_sub_intCast (mod_cast hx) _ _
lemma rpow_sub_natCast (hx : x ≠ 0) (y : ℝ) (n : ℕ) : x ^ (y - n) = x ^ y / x ^ n := by
ext; exact Real.rpow_sub_natCast (mod_cast hx) _ _
lemma rpow_add_intCast' {n : ℤ} (h : y + n ≠ 0) (x : ℝ≥0) : x ^ (y + n) = x ^ y * x ^ n := by
ext; exact Real.rpow_add_intCast' (mod_cast x.2) h
lemma rpow_add_natCast' {n : ℕ} (h : y + n ≠ 0) (x : ℝ≥0) : x ^ (y + n) = x ^ y * x ^ n := by
ext; exact Real.rpow_add_natCast' (mod_cast x.2) h
lemma rpow_sub_intCast' {n : ℤ} (h : y - n ≠ 0) (x : ℝ≥0) : x ^ (y - n) = x ^ y / x ^ n := by
ext; exact Real.rpow_sub_intCast' (mod_cast x.2) h
lemma rpow_sub_natCast' {n : ℕ} (h : y - n ≠ 0) (x : ℝ≥0) : x ^ (y - n) = x ^ y / x ^ n := by
ext; exact Real.rpow_sub_natCast' (mod_cast x.2) h
lemma rpow_add_one (hx : x ≠ 0) (y : ℝ) : x ^ (y + 1) = x ^ y * x := by
simpa using rpow_add_natCast hx y 1
lemma rpow_sub_one (hx : x ≠ 0) (y : ℝ) : x ^ (y - 1) = x ^ y / x := by
simpa using rpow_sub_natCast hx y 1
lemma rpow_add_one' (h : y + 1 ≠ 0) (x : ℝ≥0) : x ^ (y + 1) = x ^ y * x := by
rw [rpow_add' h, rpow_one]
lemma rpow_one_add' (h : 1 + y ≠ 0) (x : ℝ≥0) : x ^ (1 + y) = x * x ^ y := by
rw [rpow_add' h, rpow_one]
theorem rpow_add_of_nonneg (x : ℝ≥0) {y z : ℝ} (hy : 0 ≤ y) (hz : 0 ≤ z) :
x ^ (y + z) = x ^ y * x ^ z := by
ext; exact Real.rpow_add_of_nonneg x.2 hy hz
/-- Variant of `NNReal.rpow_add'` that avoids having to prove `y + z = w` twice. -/
lemma rpow_of_add_eq (x : ℝ≥0) (hw : w ≠ 0) (h : y + z = w) : x ^ w = x ^ y * x ^ z := by
rw [← h, rpow_add']; rwa [h]
theorem rpow_mul (x : ℝ≥0) (y z : ℝ) : x ^ (y * z) = (x ^ y) ^ z :=
NNReal.eq <| Real.rpow_mul x.2 y z
lemma rpow_natCast_mul (x : ℝ≥0) (n : ℕ) (z : ℝ) : x ^ (n * z) = (x ^ n) ^ z := by
rw [rpow_mul, rpow_natCast]
lemma rpow_mul_natCast (x : ℝ≥0) (y : ℝ) (n : ℕ) : x ^ (y * n) = (x ^ y) ^ n := by
rw [rpow_mul, rpow_natCast]
lemma rpow_intCast_mul (x : ℝ≥0) (n : ℤ) (z : ℝ) : x ^ (n * z) = (x ^ n) ^ z := by
rw [rpow_mul, rpow_intCast]
lemma rpow_mul_intCast (x : ℝ≥0) (y : ℝ) (n : ℤ) : x ^ (y * n) = (x ^ y) ^ n := by
rw [rpow_mul, rpow_intCast]
theorem rpow_neg_one (x : ℝ≥0) : x ^ (-1 : ℝ) = x⁻¹ := by simp [rpow_neg]
theorem rpow_sub {x : ℝ≥0} (hx : x ≠ 0) (y z : ℝ) : x ^ (y - z) = x ^ y / x ^ z :=
NNReal.eq <| Real.rpow_sub ((NNReal.coe_pos.trans pos_iff_ne_zero).mpr hx) y z
theorem rpow_sub' (h : y - z ≠ 0) (x : ℝ≥0) : x ^ (y - z) = x ^ y / x ^ z :=
NNReal.eq <| Real.rpow_sub' x.2 h
lemma rpow_sub_one' (h : y - 1 ≠ 0) (x : ℝ≥0) : x ^ (y - 1) = x ^ y / x := by
rw [rpow_sub' h, rpow_one]
lemma rpow_one_sub' (h : 1 - y ≠ 0) (x : ℝ≥0) : x ^ (1 - y) = x / x ^ y := by
rw [rpow_sub' h, rpow_one]
theorem rpow_inv_rpow_self {y : ℝ} (hy : y ≠ 0) (x : ℝ≥0) : (x ^ y) ^ (1 / y) = x := by
field_simp [← rpow_mul]
theorem rpow_self_rpow_inv {y : ℝ} (hy : y ≠ 0) (x : ℝ≥0) : (x ^ (1 / y)) ^ y = x := by
field_simp [← rpow_mul]
theorem inv_rpow (x : ℝ≥0) (y : ℝ) : x⁻¹ ^ y = (x ^ y)⁻¹ :=
NNReal.eq <| Real.inv_rpow x.2 y
theorem div_rpow (x y : ℝ≥0) (z : ℝ) : (x / y) ^ z = x ^ z / y ^ z :=
NNReal.eq <| Real.div_rpow x.2 y.2 z
theorem sqrt_eq_rpow (x : ℝ≥0) : sqrt x = x ^ (1 / (2 : ℝ)) := by
refine NNReal.eq ?_
push_cast
exact Real.sqrt_eq_rpow x.1
@[simp]
lemma rpow_ofNat (x : ℝ≥0) (n : ℕ) [n.AtLeastTwo] :
x ^ (ofNat(n) : ℝ) = x ^ (OfNat.ofNat n : ℕ) :=
rpow_natCast x n
theorem rpow_two (x : ℝ≥0) : x ^ (2 : ℝ) = x ^ 2 := rpow_ofNat x 2
theorem mul_rpow {x y : ℝ≥0} {z : ℝ} : (x * y) ^ z = x ^ z * y ^ z :=
NNReal.eq <| Real.mul_rpow x.2 y.2
/-- `rpow` as a `MonoidHom` -/
@[simps]
def rpowMonoidHom (r : ℝ) : ℝ≥0 →* ℝ≥0 where
toFun := (· ^ r)
map_one' := one_rpow _
map_mul' _x _y := mul_rpow
/-- `rpow` variant of `List.prod_map_pow` for `ℝ≥0` -/
theorem list_prod_map_rpow (l : List ℝ≥0) (r : ℝ) :
(l.map (· ^ r)).prod = l.prod ^ r :=
l.prod_hom (rpowMonoidHom r)
theorem list_prod_map_rpow' {ι} (l : List ι) (f : ι → ℝ≥0) (r : ℝ) :
(l.map (f · ^ r)).prod = (l.map f).prod ^ r := by
rw [← list_prod_map_rpow, List.map_map]; rfl
/-- `rpow` version of `Multiset.prod_map_pow` for `ℝ≥0`. -/
lemma multiset_prod_map_rpow {ι} (s : Multiset ι) (f : ι → ℝ≥0) (r : ℝ) :
(s.map (f · ^ r)).prod = (s.map f).prod ^ r :=
s.prod_hom' (rpowMonoidHom r) _
/-- `rpow` version of `Finset.prod_pow` for `ℝ≥0`. -/
lemma finset_prod_rpow {ι} (s : Finset ι) (f : ι → ℝ≥0) (r : ℝ) :
(∏ i ∈ s, f i ^ r) = (∏ i ∈ s, f i) ^ r :=
multiset_prod_map_rpow _ _ _
-- note: these don't really belong here, but they're much easier to prove in terms of the above
section Real
/-- `rpow` version of `List.prod_map_pow` for `Real`. -/
theorem _root_.Real.list_prod_map_rpow (l : List ℝ) (hl : ∀ x ∈ l, (0 : ℝ) ≤ x) (r : ℝ) :
(l.map (· ^ r)).prod = l.prod ^ r := by
lift l to List ℝ≥0 using hl
have := congr_arg ((↑) : ℝ≥0 → ℝ) (NNReal.list_prod_map_rpow l r)
push_cast at this
rw [List.map_map] at this ⊢
exact mod_cast this
theorem _root_.Real.list_prod_map_rpow' {ι} (l : List ι) (f : ι → ℝ)
(hl : ∀ i ∈ l, (0 : ℝ) ≤ f i) (r : ℝ) :
(l.map (f · ^ r)).prod = (l.map f).prod ^ r := by
rw [← Real.list_prod_map_rpow (l.map f) _ r, List.map_map]
· rfl
simpa using hl
/-- `rpow` version of `Multiset.prod_map_pow`. -/
theorem _root_.Real.multiset_prod_map_rpow {ι} (s : Multiset ι) (f : ι → ℝ)
(hs : ∀ i ∈ s, (0 : ℝ) ≤ f i) (r : ℝ) :
(s.map (f · ^ r)).prod = (s.map f).prod ^ r := by
induction' s using Quotient.inductionOn with l
simpa using Real.list_prod_map_rpow' l f hs r
/-- `rpow` version of `Finset.prod_pow`. -/
theorem _root_.Real.finset_prod_rpow
{ι} (s : Finset ι) (f : ι → ℝ) (hs : ∀ i ∈ s, 0 ≤ f i) (r : ℝ) :
(∏ i ∈ s, f i ^ r) = (∏ i ∈ s, f i) ^ r :=
Real.multiset_prod_map_rpow s.val f hs r
end Real
@[gcongr] theorem rpow_le_rpow {x y : ℝ≥0} {z : ℝ} (h₁ : x ≤ y) (h₂ : 0 ≤ z) : x ^ z ≤ y ^ z :=
Real.rpow_le_rpow x.2 h₁ h₂
@[gcongr] theorem rpow_lt_rpow {x y : ℝ≥0} {z : ℝ} (h₁ : x < y) (h₂ : 0 < z) : x ^ z < y ^ z :=
Real.rpow_lt_rpow x.2 h₁ h₂
theorem rpow_lt_rpow_iff {x y : ℝ≥0} {z : ℝ} (hz : 0 < z) : x ^ z < y ^ z ↔ x < y :=
Real.rpow_lt_rpow_iff x.2 y.2 hz
theorem rpow_le_rpow_iff {x y : ℝ≥0} {z : ℝ} (hz : 0 < z) : x ^ z ≤ y ^ z ↔ x ≤ y :=
Real.rpow_le_rpow_iff x.2 y.2 hz
theorem le_rpow_inv_iff {x y : ℝ≥0} {z : ℝ} (hz : 0 < z) : x ≤ y ^ z⁻¹ ↔ x ^ z ≤ y := by
rw [← rpow_le_rpow_iff hz, ← one_div, rpow_self_rpow_inv hz.ne']
theorem rpow_inv_le_iff {x y : ℝ≥0} {z : ℝ} (hz : 0 < z) : x ^ z⁻¹ ≤ y ↔ x ≤ y ^ z := by
rw [← rpow_le_rpow_iff hz, ← one_div, rpow_self_rpow_inv hz.ne']
theorem lt_rpow_inv_iff {x y : ℝ≥0} {z : ℝ} (hz : 0 < z) : x < y ^ z⁻¹ ↔ x ^z < y := by
simp only [← not_le, rpow_inv_le_iff hz]
theorem rpow_inv_lt_iff {x y : ℝ≥0} {z : ℝ} (hz : 0 < z) : x ^ z⁻¹ < y ↔ x < y ^ z := by
simp only [← not_le, le_rpow_inv_iff hz]
section
variable {y : ℝ≥0}
lemma rpow_lt_rpow_of_neg (hx : 0 < x) (hxy : x < y) (hz : z < 0) : y ^ z < x ^ z :=
Real.rpow_lt_rpow_of_neg hx hxy hz
lemma rpow_le_rpow_of_nonpos (hx : 0 < x) (hxy : x ≤ y) (hz : z ≤ 0) : y ^ z ≤ x ^ z :=
Real.rpow_le_rpow_of_nonpos hx hxy hz
lemma rpow_lt_rpow_iff_of_neg (hx : 0 < x) (hy : 0 < y) (hz : z < 0) : x ^ z < y ^ z ↔ y < x :=
Real.rpow_lt_rpow_iff_of_neg hx hy hz
lemma rpow_le_rpow_iff_of_neg (hx : 0 < x) (hy : 0 < y) (hz : z < 0) : x ^ z ≤ y ^ z ↔ y ≤ x :=
Real.rpow_le_rpow_iff_of_neg hx hy hz
lemma le_rpow_inv_iff_of_pos (hy : 0 ≤ y) (hz : 0 < z) (x : ℝ≥0) : x ≤ y ^ z⁻¹ ↔ x ^ z ≤ y :=
Real.le_rpow_inv_iff_of_pos x.2 hy hz
lemma rpow_inv_le_iff_of_pos (hy : 0 ≤ y) (hz : 0 < z) (x : ℝ≥0) : x ^ z⁻¹ ≤ y ↔ x ≤ y ^ z :=
Real.rpow_inv_le_iff_of_pos x.2 hy hz
lemma lt_rpow_inv_iff_of_pos (hy : 0 ≤ y) (hz : 0 < z) (x : ℝ≥0) : x < y ^ z⁻¹ ↔ x ^ z < y :=
Real.lt_rpow_inv_iff_of_pos x.2 hy hz
lemma rpow_inv_lt_iff_of_pos (hy : 0 ≤ y) (hz : 0 < z) (x : ℝ≥0) : x ^ z⁻¹ < y ↔ x < y ^ z :=
Real.rpow_inv_lt_iff_of_pos x.2 hy hz
lemma le_rpow_inv_iff_of_neg (hx : 0 < x) (hy : 0 < y) (hz : z < 0) : x ≤ y ^ z⁻¹ ↔ y ≤ x ^ z :=
Real.le_rpow_inv_iff_of_neg hx hy hz
lemma lt_rpow_inv_iff_of_neg (hx : 0 < x) (hy : 0 < y) (hz : z < 0) : x < y ^ z⁻¹ ↔ y < x ^ z :=
Real.lt_rpow_inv_iff_of_neg hx hy hz
lemma rpow_inv_lt_iff_of_neg (hx : 0 < x) (hy : 0 < y) (hz : z < 0) : x ^ z⁻¹ < y ↔ y ^ z < x :=
Real.rpow_inv_lt_iff_of_neg hx hy hz
lemma rpow_inv_le_iff_of_neg (hx : 0 < x) (hy : 0 < y) (hz : z < 0) : x ^ z⁻¹ ≤ y ↔ y ^ z ≤ x :=
Real.rpow_inv_le_iff_of_neg hx hy hz
end
@[gcongr] theorem rpow_lt_rpow_of_exponent_lt {x : ℝ≥0} {y z : ℝ} (hx : 1 < x) (hyz : y < z) :
x ^ y < x ^ z :=
Real.rpow_lt_rpow_of_exponent_lt hx hyz
@[gcongr] theorem rpow_le_rpow_of_exponent_le {x : ℝ≥0} {y z : ℝ} (hx : 1 ≤ x) (hyz : y ≤ z) :
x ^ y ≤ x ^ z :=
Real.rpow_le_rpow_of_exponent_le hx hyz
theorem rpow_lt_rpow_of_exponent_gt {x : ℝ≥0} {y z : ℝ} (hx0 : 0 < x) (hx1 : x < 1) (hyz : z < y) :
x ^ y < x ^ z :=
Real.rpow_lt_rpow_of_exponent_gt hx0 hx1 hyz
theorem rpow_le_rpow_of_exponent_ge {x : ℝ≥0} {y z : ℝ} (hx0 : 0 < x) (hx1 : x ≤ 1) (hyz : z ≤ y) :
x ^ y ≤ x ^ z :=
Real.rpow_le_rpow_of_exponent_ge hx0 hx1 hyz
theorem rpow_pos {p : ℝ} {x : ℝ≥0} (hx_pos : 0 < x) : 0 < x ^ p := by
have rpow_pos_of_nonneg : ∀ {p : ℝ}, 0 < p → 0 < x ^ p := by
intro p hp_pos
rw [← zero_rpow hp_pos.ne']
exact rpow_lt_rpow hx_pos hp_pos
rcases lt_trichotomy (0 : ℝ) p with (hp_pos | rfl | hp_neg)
· exact rpow_pos_of_nonneg hp_pos
· simp only [zero_lt_one, rpow_zero]
· rw [← neg_neg p, rpow_neg, inv_pos]
exact rpow_pos_of_nonneg (neg_pos.mpr hp_neg)
theorem rpow_lt_one {x : ℝ≥0} {z : ℝ} (hx1 : x < 1) (hz : 0 < z) : x ^ z < 1 :=
Real.rpow_lt_one (coe_nonneg x) hx1 hz
theorem rpow_le_one {x : ℝ≥0} {z : ℝ} (hx2 : x ≤ 1) (hz : 0 ≤ z) : x ^ z ≤ 1 :=
Real.rpow_le_one x.2 hx2 hz
theorem rpow_lt_one_of_one_lt_of_neg {x : ℝ≥0} {z : ℝ} (hx : 1 < x) (hz : z < 0) : x ^ z < 1 :=
Real.rpow_lt_one_of_one_lt_of_neg hx hz
theorem rpow_le_one_of_one_le_of_nonpos {x : ℝ≥0} {z : ℝ} (hx : 1 ≤ x) (hz : z ≤ 0) : x ^ z ≤ 1 :=
Real.rpow_le_one_of_one_le_of_nonpos hx hz
theorem one_lt_rpow {x : ℝ≥0} {z : ℝ} (hx : 1 < x) (hz : 0 < z) : 1 < x ^ z :=
Real.one_lt_rpow hx hz
theorem one_le_rpow {x : ℝ≥0} {z : ℝ} (h : 1 ≤ x) (h₁ : 0 ≤ z) : 1 ≤ x ^ z :=
Real.one_le_rpow h h₁
theorem one_lt_rpow_of_pos_of_lt_one_of_neg {x : ℝ≥0} {z : ℝ} (hx1 : 0 < x) (hx2 : x < 1)
(hz : z < 0) : 1 < x ^ z :=
Real.one_lt_rpow_of_pos_of_lt_one_of_neg hx1 hx2 hz
theorem one_le_rpow_of_pos_of_le_one_of_nonpos {x : ℝ≥0} {z : ℝ} (hx1 : 0 < x) (hx2 : x ≤ 1)
(hz : z ≤ 0) : 1 ≤ x ^ z :=
Real.one_le_rpow_of_pos_of_le_one_of_nonpos hx1 hx2 hz
theorem rpow_le_self_of_le_one {x : ℝ≥0} {z : ℝ} (hx : x ≤ 1) (h_one_le : 1 ≤ z) : x ^ z ≤ x := by
rcases eq_bot_or_bot_lt x with (rfl | (h : 0 < x))
· have : z ≠ 0 := by linarith
simp [this]
nth_rw 2 [← NNReal.rpow_one x]
exact NNReal.rpow_le_rpow_of_exponent_ge h hx h_one_le
theorem rpow_left_injective {x : ℝ} (hx : x ≠ 0) : Function.Injective fun y : ℝ≥0 => y ^ x :=
fun y z hyz => by simpa only [rpow_inv_rpow_self hx] using congr_arg (fun y => y ^ (1 / x)) hyz
theorem rpow_eq_rpow_iff {x y : ℝ≥0} {z : ℝ} (hz : z ≠ 0) : x ^ z = y ^ z ↔ x = y :=
(rpow_left_injective hz).eq_iff
theorem rpow_left_surjective {x : ℝ} (hx : x ≠ 0) : Function.Surjective fun y : ℝ≥0 => y ^ x :=
fun y => ⟨y ^ x⁻¹, by simp_rw [← rpow_mul, inv_mul_cancel₀ hx, rpow_one]⟩
theorem rpow_left_bijective {x : ℝ} (hx : x ≠ 0) : Function.Bijective fun y : ℝ≥0 => y ^ x :=
⟨rpow_left_injective hx, rpow_left_surjective hx⟩
theorem eq_rpow_inv_iff {x y : ℝ≥0} {z : ℝ} (hz : z ≠ 0) : x = y ^ z⁻¹ ↔ x ^ z = y := by
rw [← rpow_eq_rpow_iff hz, ← one_div, rpow_self_rpow_inv hz]
theorem rpow_inv_eq_iff {x y : ℝ≥0} {z : ℝ} (hz : z ≠ 0) : x ^ z⁻¹ = y ↔ x = y ^ z := by
rw [← rpow_eq_rpow_iff hz, ← one_div, rpow_self_rpow_inv hz]
@[simp] lemma rpow_rpow_inv {y : ℝ} (hy : y ≠ 0) (x : ℝ≥0) : (x ^ y) ^ y⁻¹ = x := by
rw [← rpow_mul, mul_inv_cancel₀ hy, rpow_one]
@[simp] lemma rpow_inv_rpow {y : ℝ} (hy : y ≠ 0) (x : ℝ≥0) : (x ^ y⁻¹) ^ y = x := by
rw [← rpow_mul, inv_mul_cancel₀ hy, rpow_one]
theorem pow_rpow_inv_natCast (x : ℝ≥0) {n : ℕ} (hn : n ≠ 0) : (x ^ n) ^ (n⁻¹ : ℝ) = x := by
rw [← NNReal.coe_inj, coe_rpow, NNReal.coe_pow]
exact Real.pow_rpow_inv_natCast x.2 hn
theorem rpow_inv_natCast_pow (x : ℝ≥0) {n : ℕ} (hn : n ≠ 0) : (x ^ (n⁻¹ : ℝ)) ^ n = x := by
rw [← NNReal.coe_inj, NNReal.coe_pow, coe_rpow]
exact Real.rpow_inv_natCast_pow x.2 hn
theorem _root_.Real.toNNReal_rpow_of_nonneg {x y : ℝ} (hx : 0 ≤ x) :
Real.toNNReal (x ^ y) = Real.toNNReal x ^ y := by
nth_rw 1 [← Real.coe_toNNReal x hx]
rw [← NNReal.coe_rpow, Real.toNNReal_coe]
theorem strictMono_rpow_of_pos {z : ℝ} (h : 0 < z) : StrictMono fun x : ℝ≥0 => x ^ z :=
fun x y hxy => by simp only [NNReal.rpow_lt_rpow hxy h, coe_lt_coe]
theorem monotone_rpow_of_nonneg {z : ℝ} (h : 0 ≤ z) : Monotone fun x : ℝ≥0 => x ^ z :=
h.eq_or_lt.elim (fun h0 => h0 ▸ by simp only [rpow_zero, monotone_const]) fun h0 =>
(strictMono_rpow_of_pos h0).monotone
/-- Bundles `fun x : ℝ≥0 => x ^ y` into an order isomorphism when `y : ℝ` is positive,
where the inverse is `fun x : ℝ≥0 => x ^ (1 / y)`. -/
@[simps! apply]
def orderIsoRpow (y : ℝ) (hy : 0 < y) : ℝ≥0 ≃o ℝ≥0 :=
(strictMono_rpow_of_pos hy).orderIsoOfRightInverse (fun x => x ^ y) (fun x => x ^ (1 / y))
fun x => by
dsimp
rw [← rpow_mul, one_div_mul_cancel hy.ne.symm, rpow_one]
theorem orderIsoRpow_symm_eq (y : ℝ) (hy : 0 < y) :
(orderIsoRpow y hy).symm = orderIsoRpow (1 / y) (one_div_pos.2 hy) := by
simp only [orderIsoRpow, one_div_one_div]; rfl
theorem _root_.Real.nnnorm_rpow_of_nonneg {x y : ℝ} (hx : 0 ≤ x) : ‖x ^ y‖₊ = ‖x‖₊ ^ y := by
ext; exact Real.norm_rpow_of_nonneg hx
end NNReal
namespace ENNReal
/-- The real power function `x^y` on extended nonnegative reals, defined for `x : ℝ≥0∞` and
`y : ℝ` as the restriction of the real power function if `0 < x < ⊤`, and with the natural values
for `0` and `⊤` (i.e., `0 ^ x = 0` for `x > 0`, `1` for `x = 0` and `⊤` for `x < 0`, and
`⊤ ^ x = 1 / 0 ^ x`). -/
noncomputable def rpow : ℝ≥0∞ → ℝ → ℝ≥0∞
| some x, y => if x = 0 ∧ y < 0 then ⊤ else (x ^ y : ℝ≥0)
| none, y => if 0 < y then ⊤ else if y = 0 then 1 else 0
noncomputable instance : Pow ℝ≥0∞ ℝ :=
⟨rpow⟩
@[simp]
theorem rpow_eq_pow (x : ℝ≥0∞) (y : ℝ) : rpow x y = x ^ y :=
rfl
@[simp]
theorem rpow_zero {x : ℝ≥0∞} : x ^ (0 : ℝ) = 1 := by
cases x <;>
· dsimp only [(· ^ ·), Pow.pow, rpow]
simp [lt_irrefl]
theorem top_rpow_def (y : ℝ) : (⊤ : ℝ≥0∞) ^ y = if 0 < y then ⊤ else if y = 0 then 1 else 0 :=
rfl
@[simp]
theorem top_rpow_of_pos {y : ℝ} (h : 0 < y) : (⊤ : ℝ≥0∞) ^ y = ⊤ := by simp [top_rpow_def, h]
@[simp]
theorem top_rpow_of_neg {y : ℝ} (h : y < 0) : (⊤ : ℝ≥0∞) ^ y = 0 := by
simp [top_rpow_def, asymm h, ne_of_lt h]
@[simp]
theorem zero_rpow_of_pos {y : ℝ} (h : 0 < y) : (0 : ℝ≥0∞) ^ y = 0 := by
rw [← ENNReal.coe_zero, ← ENNReal.some_eq_coe]
dsimp only [(· ^ ·), rpow, Pow.pow]
simp [h, asymm h, ne_of_gt h]
@[simp]
theorem zero_rpow_of_neg {y : ℝ} (h : y < 0) : (0 : ℝ≥0∞) ^ y = ⊤ := by
rw [← ENNReal.coe_zero, ← ENNReal.some_eq_coe]
dsimp only [(· ^ ·), rpow, Pow.pow]
simp [h, ne_of_gt h]
theorem zero_rpow_def (y : ℝ) : (0 : ℝ≥0∞) ^ y = if 0 < y then 0 else if y = 0 then 1 else ⊤ := by
rcases lt_trichotomy (0 : ℝ) y with (H | rfl | H)
· simp [H, ne_of_gt, zero_rpow_of_pos, lt_irrefl]
· simp [lt_irrefl]
· simp [H, asymm H, ne_of_lt, zero_rpow_of_neg]
|
@[simp]
theorem zero_rpow_mul_self (y : ℝ) : (0 : ℝ≥0∞) ^ y * (0 : ℝ≥0∞) ^ y = (0 : ℝ≥0∞) ^ y := by
| Mathlib/Analysis/SpecialFunctions/Pow/NNReal.lean | 482 | 484 |
/-
Copyright (c) 2020 Oliver Nash. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Oliver Nash, Antoine Labelle
-/
import Mathlib.LinearAlgebra.Dual.Lemmas
import Mathlib.LinearAlgebra.Matrix.ToLin
/-!
# Contractions
Given modules $M, N$ over a commutative ring $R$, this file defines the natural linear maps:
$M^* \otimes M \to R$, $M \otimes M^* \to R$, and $M^* \otimes N → Hom(M, N)$, as well as proving
some basic properties of these maps.
## Tags
contraction, dual module, tensor product
-/
suppress_compilation
variable {ι : Type*} (R M N P Q : Type*)
-- Porting note: we need high priority for this to fire first; not the case in ML3
attribute [local ext high] TensorProduct.ext
section Contraction
open TensorProduct LinearMap Matrix Module
open TensorProduct
section CommSemiring
variable [CommSemiring R]
variable [AddCommMonoid M] [AddCommMonoid N] [AddCommMonoid P] [AddCommMonoid Q]
variable [Module R M] [Module R N] [Module R P] [Module R Q]
variable [DecidableEq ι] [Fintype ι] (b : Basis ι R M)
/-- The natural left-handed pairing between a module and its dual. -/
def contractLeft : Module.Dual R M ⊗[R] M →ₗ[R] R :=
(uncurry _ _ _ _).toFun LinearMap.id
/-- The natural right-handed pairing between a module and its dual. -/
def contractRight : M ⊗[R] Module.Dual R M →ₗ[R] R :=
(uncurry _ _ _ _).toFun (LinearMap.flip LinearMap.id)
/-- The natural map associating a linear map to the tensor product of two modules. -/
def dualTensorHom : Module.Dual R M ⊗[R] N →ₗ[R] M →ₗ[R] N :=
let M' := Module.Dual R M
(uncurry R M' N (M →ₗ[R] N) : _ → M' ⊗ N →ₗ[R] M →ₗ[R] N) LinearMap.smulRightₗ
variable {R M N P Q}
@[simp]
theorem contractLeft_apply (f : Module.Dual R M) (m : M) : contractLeft R M (f ⊗ₜ m) = f m :=
rfl
@[simp]
theorem contractRight_apply (f : Module.Dual R M) (m : M) : contractRight R M (m ⊗ₜ f) = f m :=
rfl
@[simp]
theorem dualTensorHom_apply (f : Module.Dual R M) (m : M) (n : N) :
dualTensorHom R M N (f ⊗ₜ n) m = f m • n :=
rfl
@[simp]
theorem transpose_dualTensorHom (f : Module.Dual R M) (m : M) :
Dual.transpose (R := R) (dualTensorHom R M M (f ⊗ₜ m)) =
dualTensorHom R _ _ (Dual.eval R M m ⊗ₜ f) := by
ext f' m'
simp only [Dual.transpose_apply, coe_comp, Function.comp_apply, dualTensorHom_apply,
LinearMap.map_smulₛₗ, RingHom.id_apply, Algebra.id.smul_eq_mul, Dual.eval_apply,
LinearMap.smul_apply]
exact mul_comm _ _
@[simp]
theorem dualTensorHom_prodMap_zero (f : Module.Dual R M) (p : P) :
((dualTensorHom R M P) (f ⊗ₜ[R] p)).prodMap (0 : N →ₗ[R] Q) =
dualTensorHom R (M × N) (P × Q) ((f ∘ₗ fst R M N) ⊗ₜ inl R P Q p) := by
ext <;>
simp only [coe_comp, coe_inl, Function.comp_apply, prodMap_apply, dualTensorHom_apply,
fst_apply, Prod.smul_mk, LinearMap.zero_apply, smul_zero]
@[simp]
theorem zero_prodMap_dualTensorHom (g : Module.Dual R N) (q : Q) :
(0 : M →ₗ[R] P).prodMap ((dualTensorHom R N Q) (g ⊗ₜ[R] q)) =
dualTensorHom R (M × N) (P × Q) ((g ∘ₗ snd R M N) ⊗ₜ inr R P Q q) := by
ext <;>
simp only [coe_comp, coe_inr, Function.comp_apply, prodMap_apply, dualTensorHom_apply,
snd_apply, Prod.smul_mk, LinearMap.zero_apply, smul_zero]
theorem map_dualTensorHom (f : Module.Dual R M) (p : P) (g : Module.Dual R N) (q : Q) :
TensorProduct.map (dualTensorHom R M P (f ⊗ₜ[R] p)) (dualTensorHom R N Q (g ⊗ₜ[R] q)) =
dualTensorHom R (M ⊗[R] N) (P ⊗[R] Q) (dualDistrib R M N (f ⊗ₜ g) ⊗ₜ[R] p ⊗ₜ[R] q) := by
ext m n
simp only [compr₂_apply, mk_apply, map_tmul, dualTensorHom_apply, dualDistrib_apply, ←
smul_tmul_smul]
@[simp]
theorem comp_dualTensorHom (f : Module.Dual R M) (n : N) (g : Module.Dual R N) (p : P) :
dualTensorHom R N P (g ⊗ₜ[R] p) ∘ₗ dualTensorHom R M N (f ⊗ₜ[R] n) =
g n • dualTensorHom R M P (f ⊗ₜ p) := by
ext m
simp only [coe_comp, Function.comp_apply, dualTensorHom_apply, LinearMap.map_smul,
RingHom.id_apply, LinearMap.smul_apply]
rw [smul_comm]
/-- As a matrix, `dualTensorHom` evaluated on a basis element of `M* ⊗ N` is a matrix with a
single one and zeros elsewhere -/
theorem toMatrix_dualTensorHom {m : Type*} {n : Type*} [Fintype m] [Finite n] [DecidableEq m]
[DecidableEq n] (bM : Basis m R M) (bN : Basis n R N) (j : m) (i : n) :
toMatrix bM bN (dualTensorHom R M N (bM.coord j ⊗ₜ bN i)) = stdBasisMatrix i j 1 := by
ext i' j'
by_cases hij : i = i' ∧ j = j' <;>
simp [LinearMap.toMatrix_apply, Finsupp.single_eq_pi_single, hij]
rw [and_iff_not_or_not, Classical.not_not] at hij
rcases hij with hij | hij <;> simp [hij]
end CommSemiring
section CommRing
variable [CommRing R]
variable [AddCommGroup M] [AddCommGroup N] [AddCommGroup P] [AddCommGroup Q]
variable [Module R M] [Module R N] [Module R P] [Module R Q]
variable [DecidableEq ι] [Fintype ι] (b : Basis ι R M)
variable {R M N P Q}
/-- If `M` is free, the natural linear map $M^* ⊗ N → Hom(M, N)$ is an equivalence. This function
provides this equivalence in return for a basis of `M`. -/
-- We manually create simp-lemmas because `@[simps]` generates a malformed lemma
noncomputable def dualTensorHomEquivOfBasis : Module.Dual R M ⊗[R] N ≃ₗ[R] M →ₗ[R] N :=
LinearEquiv.ofLinear (dualTensorHom R M N)
(∑ i, TensorProduct.mk R _ N (b.dualBasis i) ∘ₗ (LinearMap.applyₗ (R := R) (b i)))
(by
ext f m
simp only [applyₗ_apply_apply, coeFn_sum, dualTensorHom_apply, mk_apply, id_coe, _root_.id,
Fintype.sum_apply, Function.comp_apply, Basis.coe_dualBasis, coe_comp, Basis.coord_apply, ←
f.map_smul, _root_.map_sum (dualTensorHom R M N), ← _root_.map_sum f, b.sum_repr])
(by
ext f m
simp only [applyₗ_apply_apply, coeFn_sum, dualTensorHom_apply, mk_apply, id_coe, _root_.id,
Fintype.sum_apply, Function.comp_apply, Basis.coe_dualBasis, coe_comp, compr₂_apply,
tmul_smul, smul_tmul', ← sum_tmul, Basis.sum_dual_apply_smul_coord])
@[simp]
theorem dualTensorHomEquivOfBasis_apply (x : Module.Dual R M ⊗[R] N) :
dualTensorHomEquivOfBasis b x = dualTensorHom R M N x := by
ext; rfl
@[simp]
theorem dualTensorHomEquivOfBasis_toLinearMap :
(dualTensorHomEquivOfBasis b).toLinearMap = dualTensorHom R M N :=
rfl
@[simp]
theorem dualTensorHomEquivOfBasis_symm_cancel_left (x : Module.Dual R M ⊗[R] N) :
(dualTensorHomEquivOfBasis b).symm (dualTensorHom R M N x) = x := by
rw [← dualTensorHomEquivOfBasis_apply b,
LinearEquiv.symm_apply_apply <| dualTensorHomEquivOfBasis (N := N) b]
@[simp]
theorem dualTensorHomEquivOfBasis_symm_cancel_right (x : M →ₗ[R] N) :
dualTensorHom R M N ((dualTensorHomEquivOfBasis b).symm x) = x := by
rw [← dualTensorHomEquivOfBasis_apply b, LinearEquiv.apply_symm_apply]
variable (R M N P Q)
variable [Module.Free R M] [Module.Finite R M]
/-- If `M` is finite free, the natural map $M^* ⊗ N → Hom(M, N)$ is an
equivalence. -/
@[simp]
noncomputable def dualTensorHomEquiv : Module.Dual R M ⊗[R] N ≃ₗ[R] M →ₗ[R] N :=
dualTensorHomEquivOfBasis (Module.Free.chooseBasis R M)
end CommRing
end Contraction
section HomTensorHom
open TensorProduct
open Module TensorProduct LinearMap
section CommRing
variable [CommRing R]
variable [AddCommGroup M] [AddCommGroup N] [AddCommGroup P] [AddCommGroup Q]
variable [Module R M] [Module R N] [Module R P] [Module R Q]
variable [Free R M] [Module.Finite R M] [Free R N] [Module.Finite R N]
/-- When `M` is a finite free module, the map `lTensorHomToHomLTensor` is an equivalence. Note
that `lTensorHomEquivHomLTensor` is not defined directly in terms of
`lTensorHomToHomLTensor`, but the equivalence between the two is given by
`lTensorHomEquivHomLTensor_toLinearMap` and `lTensorHomEquivHomLTensor_apply`. -/
noncomputable def lTensorHomEquivHomLTensor : P ⊗[R] (M →ₗ[R] Q) ≃ₗ[R] M →ₗ[R] P ⊗[R] Q :=
congr (LinearEquiv.refl R P) (dualTensorHomEquiv R M Q).symm ≪≫ₗ
TensorProduct.leftComm R P _ Q ≪≫ₗ
dualTensorHomEquiv R M _
/-- When `M` is a finite free module, the map `rTensorHomToHomRTensor` is an equivalence. Note
that `rTensorHomEquivHomRTensor` is not defined directly in terms of
`rTensorHomToHomRTensor`, but the equivalence between the two is given by
`rTensorHomEquivHomRTensor_toLinearMap` and `rTensorHomEquivHomRTensor_apply`. -/
noncomputable def rTensorHomEquivHomRTensor : (M →ₗ[R] P) ⊗[R] Q ≃ₗ[R] M →ₗ[R] P ⊗[R] Q :=
congr (dualTensorHomEquiv R M P).symm (LinearEquiv.refl R Q) ≪≫ₗ TensorProduct.assoc R _ P Q ≪≫ₗ
dualTensorHomEquiv R M _
@[simp]
theorem lTensorHomEquivHomLTensor_toLinearMap :
(lTensorHomEquivHomLTensor R M P Q).toLinearMap = lTensorHomToHomLTensor R M P Q := by
let e := congr (LinearEquiv.refl R P) (dualTensorHomEquiv R M Q)
have h : Function.Surjective e.toLinearMap := e.surjective
refine (cancel_right h).1 ?_
ext f q m
simp only [e, lTensorHomEquivHomLTensor, dualTensorHomEquiv, LinearEquiv.comp_coe, compr₂_apply,
mk_apply, LinearEquiv.coe_coe, LinearEquiv.trans_apply, congr_tmul, LinearEquiv.refl_apply,
dualTensorHomEquivOfBasis_apply, dualTensorHomEquivOfBasis_symm_cancel_left, leftComm_tmul,
dualTensorHom_apply, coe_comp, Function.comp_apply, lTensorHomToHomLTensor_apply, tmul_smul]
@[simp]
theorem rTensorHomEquivHomRTensor_toLinearMap :
(rTensorHomEquivHomRTensor R M P Q).toLinearMap = rTensorHomToHomRTensor R M P Q := by
let e := congr (dualTensorHomEquiv R M P) (LinearEquiv.refl R Q)
have h : Function.Surjective e.toLinearMap := e.surjective
refine (cancel_right h).1 ?_
ext f p q m
simp only [e, rTensorHomEquivHomRTensor, dualTensorHomEquiv, compr₂_apply, mk_apply, coe_comp,
LinearEquiv.coe_toLinearMap, Function.comp_apply, map_tmul, LinearEquiv.coe_coe,
dualTensorHomEquivOfBasis_apply, LinearEquiv.trans_apply, congr_tmul,
dualTensorHomEquivOfBasis_symm_cancel_left, LinearEquiv.refl_apply, assoc_tmul,
dualTensorHom_apply, rTensorHomToHomRTensor_apply, smul_tmul']
variable {R M N P Q}
@[simp]
theorem lTensorHomEquivHomLTensor_apply (x : P ⊗[R] (M →ₗ[R] Q)) :
lTensorHomEquivHomLTensor R M P Q x = lTensorHomToHomLTensor R M P Q x := by
rw [← LinearEquiv.coe_toLinearMap, lTensorHomEquivHomLTensor_toLinearMap]
| @[simp]
theorem rTensorHomEquivHomRTensor_apply (x : (M →ₗ[R] P) ⊗[R] Q) :
rTensorHomEquivHomRTensor R M P Q x = rTensorHomToHomRTensor R M P Q x := by
rw [← LinearEquiv.coe_toLinearMap, rTensorHomEquivHomRTensor_toLinearMap]
variable (R M N P Q)
/-- When `M` and `N` are free `R` modules, the map `homTensorHomMap` is an equivalence. Note that
`homTensorHomEquiv` is not defined directly in terms of `homTensorHomMap`, but the equivalence
between the two is given by `homTensorHomEquiv_toLinearMap` and `homTensorHomEquiv_apply`.
-/
noncomputable def homTensorHomEquiv : (M →ₗ[R] P) ⊗[R] (N →ₗ[R] Q) ≃ₗ[R] M ⊗[R] N →ₗ[R] P ⊗[R] Q :=
| Mathlib/LinearAlgebra/Contraction.lean | 245 | 256 |
/-
Copyright (c) 2017 Robert Y. Lewis. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Robert Y. Lewis, Keeley Hoek
-/
import Mathlib.Algebra.NeZero
import Mathlib.Data.Int.DivMod
import Mathlib.Logic.Embedding.Basic
import Mathlib.Logic.Equiv.Set
import Mathlib.Tactic.Common
import Mathlib.Tactic.Attr.Register
/-!
# The finite type with `n` elements
`Fin n` is the type whose elements are natural numbers smaller than `n`.
This file expands on the development in the core library.
## Main definitions
### Induction principles
* `finZeroElim` : Elimination principle for the empty set `Fin 0`, generalizes `Fin.elim0`.
Further definitions and eliminators can be found in `Init.Data.Fin.Lemmas`
### Embeddings and isomorphisms
* `Fin.valEmbedding` : coercion to natural numbers as an `Embedding`;
* `Fin.succEmb` : `Fin.succ` as an `Embedding`;
* `Fin.castLEEmb h` : `Fin.castLE` as an `Embedding`, embed `Fin n` into `Fin m`, `h : n ≤ m`;
* `finCongr` : `Fin.cast` as an `Equiv`, equivalence between `Fin n` and `Fin m` when `n = m`;
* `Fin.castAddEmb m` : `Fin.castAdd` as an `Embedding`, embed `Fin n` into `Fin (n+m)`;
* `Fin.castSuccEmb` : `Fin.castSucc` as an `Embedding`, embed `Fin n` into `Fin (n+1)`;
* `Fin.addNatEmb m i` : `Fin.addNat` as an `Embedding`, add `m` on `i` on the right,
generalizes `Fin.succ`;
* `Fin.natAddEmb n i` : `Fin.natAdd` as an `Embedding`, adds `n` on `i` on the left;
### Other casts
* `Fin.divNat i` : divides `i : Fin (m * n)` by `n`;
* `Fin.modNat i` : takes the mod of `i : Fin (m * n)` by `n`;
-/
assert_not_exists Monoid Finset
open Fin Nat Function
attribute [simp] Fin.succ_ne_zero Fin.castSucc_lt_last
/-- Elimination principle for the empty set `Fin 0`, dependent version. -/
def finZeroElim {α : Fin 0 → Sort*} (x : Fin 0) : α x :=
x.elim0
namespace Fin
@[simp] theorem mk_eq_one {n a : Nat} {ha : a < n + 2} :
(⟨a, ha⟩ : Fin (n + 2)) = 1 ↔ a = 1 :=
mk.inj_iff
@[simp] theorem one_eq_mk {n a : Nat} {ha : a < n + 2} :
1 = (⟨a, ha⟩ : Fin (n + 2)) ↔ a = 1 := by
simp [eq_comm]
instance {n : ℕ} : CanLift ℕ (Fin n) Fin.val (· < n) where
prf k hk := ⟨⟨k, hk⟩, rfl⟩
/-- A dependent variant of `Fin.elim0`. -/
def rec0 {α : Fin 0 → Sort*} (i : Fin 0) : α i := absurd i.2 (Nat.not_lt_zero _)
variable {n m : ℕ}
--variable {a b : Fin n} -- this *really* breaks stuff
theorem val_injective : Function.Injective (@Fin.val n) :=
@Fin.eq_of_val_eq n
/-- If you actually have an element of `Fin n`, then the `n` is always positive -/
lemma size_positive : Fin n → 0 < n := Fin.pos
lemma size_positive' [Nonempty (Fin n)] : 0 < n :=
‹Nonempty (Fin n)›.elim Fin.pos
protected theorem prop (a : Fin n) : a.val < n :=
a.2
lemma lt_last_iff_ne_last {a : Fin (n + 1)} : a < last n ↔ a ≠ last n := by
simp [Fin.lt_iff_le_and_ne, le_last]
lemma ne_zero_of_lt {a b : Fin (n + 1)} (hab : a < b) : b ≠ 0 :=
Fin.ne_of_gt <| Fin.lt_of_le_of_lt a.zero_le hab
lemma ne_last_of_lt {a b : Fin (n + 1)} (hab : a < b) : a ≠ last n :=
Fin.ne_of_lt <| Fin.lt_of_lt_of_le hab b.le_last
/-- Equivalence between `Fin n` and `{ i // i < n }`. -/
@[simps apply symm_apply]
def equivSubtype : Fin n ≃ { i // i < n } where
toFun a := ⟨a.1, a.2⟩
invFun a := ⟨a.1, a.2⟩
left_inv := fun ⟨_, _⟩ => rfl
right_inv := fun ⟨_, _⟩ => rfl
section coe
/-!
### coercions and constructions
-/
theorem val_eq_val (a b : Fin n) : (a : ℕ) = b ↔ a = b :=
Fin.ext_iff.symm
theorem ne_iff_vne (a b : Fin n) : a ≠ b ↔ a.1 ≠ b.1 :=
Fin.ext_iff.not
theorem mk_eq_mk {a h a' h'} : @mk n a h = @mk n a' h' ↔ a = a' :=
Fin.ext_iff
-- syntactic tautologies now
/-- Assume `k = l`. If two functions defined on `Fin k` and `Fin l` are equal on each element,
then they coincide (in the heq sense). -/
protected theorem heq_fun_iff {α : Sort*} {k l : ℕ} (h : k = l) {f : Fin k → α} {g : Fin l → α} :
HEq f g ↔ ∀ i : Fin k, f i = g ⟨(i : ℕ), h ▸ i.2⟩ := by
subst h
simp [funext_iff]
/-- Assume `k = l` and `k' = l'`.
If two functions `Fin k → Fin k' → α` and `Fin l → Fin l' → α` are equal on each pair,
then they coincide (in the heq sense). -/
protected theorem heq_fun₂_iff {α : Sort*} {k l k' l' : ℕ} (h : k = l) (h' : k' = l')
{f : Fin k → Fin k' → α} {g : Fin l → Fin l' → α} :
HEq f g ↔ ∀ (i : Fin k) (j : Fin k'), f i j = g ⟨(i : ℕ), h ▸ i.2⟩ ⟨(j : ℕ), h' ▸ j.2⟩ := by
subst h
subst h'
simp [funext_iff]
/-- Two elements of `Fin k` and `Fin l` are heq iff their values in `ℕ` coincide. This requires
`k = l`. For the left implication without this assumption, see `val_eq_val_of_heq`. -/
protected theorem heq_ext_iff {k l : ℕ} (h : k = l) {i : Fin k} {j : Fin l} :
HEq i j ↔ (i : ℕ) = (j : ℕ) := by
subst h
simp [val_eq_val]
end coe
section Order
/-!
### order
-/
theorem le_iff_val_le_val {a b : Fin n} : a ≤ b ↔ (a : ℕ) ≤ b :=
Iff.rfl
/-- `a < b` as natural numbers if and only if `a < b` in `Fin n`. -/
@[norm_cast, simp]
theorem val_fin_lt {n : ℕ} {a b : Fin n} : (a : ℕ) < (b : ℕ) ↔ a < b :=
Iff.rfl
/-- `a ≤ b` as natural numbers if and only if `a ≤ b` in `Fin n`. -/
@[norm_cast, simp]
theorem val_fin_le {n : ℕ} {a b : Fin n} : (a : ℕ) ≤ (b : ℕ) ↔ a ≤ b :=
Iff.rfl
theorem min_val {a : Fin n} : min (a : ℕ) n = a := by simp
theorem max_val {a : Fin n} : max (a : ℕ) n = n := by simp
/-- The inclusion map `Fin n → ℕ` is an embedding. -/
@[simps -fullyApplied apply]
def valEmbedding : Fin n ↪ ℕ :=
⟨val, val_injective⟩
@[simp]
theorem equivSubtype_symm_trans_valEmbedding :
equivSubtype.symm.toEmbedding.trans valEmbedding = Embedding.subtype (· < n) :=
rfl
/-- Use the ordering on `Fin n` for checking recursive definitions.
For example, the following definition is not accepted by the termination checker,
unless we declare the `WellFoundedRelation` instance:
```lean
def factorial {n : ℕ} : Fin n → ℕ
| ⟨0, _⟩ := 1
| ⟨i + 1, hi⟩ := (i + 1) * factorial ⟨i, i.lt_succ_self.trans hi⟩
```
-/
instance {n : ℕ} : WellFoundedRelation (Fin n) :=
measure (val : Fin n → ℕ)
@[deprecated (since := "2025-02-24")]
alias val_zero' := val_zero
/-- `Fin.mk_zero` in `Lean` only applies in `Fin (n + 1)`.
This one instead uses a `NeZero n` typeclass hypothesis.
-/
@[simp]
theorem mk_zero' (n : ℕ) [NeZero n] : (⟨0, pos_of_neZero n⟩ : Fin n) = 0 := rfl
/--
The `Fin.zero_le` in `Lean` only applies in `Fin (n+1)`.
This one instead uses a `NeZero n` typeclass hypothesis.
-/
@[simp]
protected theorem zero_le' [NeZero n] (a : Fin n) : 0 ≤ a :=
Nat.zero_le a.val
@[simp, norm_cast]
theorem val_eq_zero_iff [NeZero n] {a : Fin n} : a.val = 0 ↔ a = 0 := by
rw [Fin.ext_iff, val_zero]
theorem val_ne_zero_iff [NeZero n] {a : Fin n} : a.val ≠ 0 ↔ a ≠ 0 :=
val_eq_zero_iff.not
@[simp, norm_cast]
theorem val_pos_iff [NeZero n] {a : Fin n} : 0 < a.val ↔ 0 < a := by
rw [← val_fin_lt, val_zero]
/--
The `Fin.pos_iff_ne_zero` in `Lean` only applies in `Fin (n+1)`.
This one instead uses a `NeZero n` typeclass hypothesis.
-/
theorem pos_iff_ne_zero' [NeZero n] (a : Fin n) : 0 < a ↔ a ≠ 0 := by
rw [← val_pos_iff, Nat.pos_iff_ne_zero, val_ne_zero_iff]
@[simp] lemma cast_eq_self (a : Fin n) : a.cast rfl = a := rfl
@[simp] theorem cast_eq_zero {k l : ℕ} [NeZero k] [NeZero l]
(h : k = l) (x : Fin k) : Fin.cast h x = 0 ↔ x = 0 := by
simp [← val_eq_zero_iff]
lemma cast_injective {k l : ℕ} (h : k = l) : Injective (Fin.cast h) :=
fun a b hab ↦ by simpa [← val_eq_val] using hab
theorem last_pos' [NeZero n] : 0 < last n := n.pos_of_neZero
theorem one_lt_last [NeZero n] : 1 < last (n + 1) := by
rw [lt_iff_val_lt_val, val_one, val_last, Nat.lt_add_left_iff_pos, Nat.pos_iff_ne_zero]
exact NeZero.ne n
end Order
/-! ### Coercions to `ℤ` and the `fin_omega` tactic. -/
open Int
theorem coe_int_sub_eq_ite {n : Nat} (u v : Fin n) :
((u - v : Fin n) : Int) = if v ≤ u then (u - v : Int) else (u - v : Int) + n := by
rw [Fin.sub_def]
split
· rw [natCast_emod, Int.emod_eq_sub_self_emod, Int.emod_eq_of_lt] <;> omega
· rw [natCast_emod, Int.emod_eq_of_lt] <;> omega
theorem coe_int_sub_eq_mod {n : Nat} (u v : Fin n) :
((u - v : Fin n) : Int) = ((u : Int) - (v : Int)) % n := by
rw [coe_int_sub_eq_ite]
split
· rw [Int.emod_eq_of_lt] <;> omega
· rw [Int.emod_eq_add_self_emod, Int.emod_eq_of_lt] <;> omega
theorem coe_int_add_eq_ite {n : Nat} (u v : Fin n) :
((u + v : Fin n) : Int) = if (u + v : ℕ) < n then (u + v : Int) else (u + v : Int) - n := by
rw [Fin.add_def]
split
· rw [natCast_emod, Int.emod_eq_of_lt] <;> omega
· rw [natCast_emod, Int.emod_eq_sub_self_emod, Int.emod_eq_of_lt] <;> omega
theorem coe_int_add_eq_mod {n : Nat} (u v : Fin n) :
((u + v : Fin n) : Int) = ((u : Int) + (v : Int)) % n := by
rw [coe_int_add_eq_ite]
split
· rw [Int.emod_eq_of_lt] <;> omega
· rw [Int.emod_eq_sub_self_emod, Int.emod_eq_of_lt] <;> omega
-- Write `a + b` as `if (a + b : ℕ) < n then (a + b : ℤ) else (a + b : ℤ) - n` and
-- similarly `a - b` as `if (b : ℕ) ≤ a then (a - b : ℤ) else (a - b : ℤ) + n`.
attribute [fin_omega] coe_int_sub_eq_ite coe_int_add_eq_ite
-- Rewrite inequalities in `Fin` to inequalities in `ℕ`
attribute [fin_omega] Fin.lt_iff_val_lt_val Fin.le_iff_val_le_val
-- Rewrite `1 : Fin (n + 2)` to `1 : ℤ`
attribute [fin_omega] val_one
/--
Preprocessor for `omega` to handle inequalities in `Fin`.
Note that this involves a lot of case splitting, so may be slow.
-/
-- Further adjustment to the simp set can probably make this more powerful.
-- Please experiment and PR updates!
macro "fin_omega" : tactic => `(tactic|
{ try simp only [fin_omega, ← Int.ofNat_lt, ← Int.ofNat_le] at *
omega })
section Add
/-!
### addition, numerals, and coercion from Nat
-/
@[simp]
theorem val_one' (n : ℕ) [NeZero n] : ((1 : Fin n) : ℕ) = 1 % n :=
rfl
@[deprecated val_one' (since := "2025-03-10")]
theorem val_one'' {n : ℕ} : ((1 : Fin (n + 1)) : ℕ) = 1 % (n + 1) :=
rfl
instance nontrivial {n : ℕ} : Nontrivial (Fin (n + 2)) where
exists_pair_ne := ⟨0, 1, (ne_iff_vne 0 1).mpr (by simp [val_one, val_zero])⟩
theorem nontrivial_iff_two_le : Nontrivial (Fin n) ↔ 2 ≤ n := by
rcases n with (_ | _ | n) <;>
simp [Fin.nontrivial, not_nontrivial, Nat.succ_le_iff]
section Monoid
instance inhabitedFinOneAdd (n : ℕ) : Inhabited (Fin (1 + n)) :=
haveI : NeZero (1 + n) := by rw [Nat.add_comm]; infer_instance
inferInstance
@[simp]
theorem default_eq_zero (n : ℕ) [NeZero n] : (default : Fin n) = 0 :=
rfl
instance instNatCast [NeZero n] : NatCast (Fin n) where
natCast i := Fin.ofNat' n i
lemma natCast_def [NeZero n] (a : ℕ) : (a : Fin n) = ⟨a % n, mod_lt _ n.pos_of_neZero⟩ := rfl
end Monoid
theorem val_add_eq_ite {n : ℕ} (a b : Fin n) :
(↑(a + b) : ℕ) = if n ≤ a + b then a + b - n else a + b := by
rw [Fin.val_add, Nat.add_mod_eq_ite, Nat.mod_eq_of_lt (show ↑a < n from a.2),
Nat.mod_eq_of_lt (show ↑b < n from b.2)]
theorem val_add_eq_of_add_lt {n : ℕ} {a b : Fin n} (huv : a.val + b.val < n) :
(a + b).val = a.val + b.val := by
rw [val_add]
simp [Nat.mod_eq_of_lt huv]
lemma intCast_val_sub_eq_sub_add_ite {n : ℕ} (a b : Fin n) :
((a - b).val : ℤ) = a.val - b.val + if b ≤ a then 0 else n := by
split <;> fin_omega
lemma one_le_of_ne_zero {n : ℕ} [NeZero n] {k : Fin n} (hk : k ≠ 0) : 1 ≤ k := by
obtain ⟨n, rfl⟩ := Nat.exists_eq_succ_of_ne_zero (NeZero.ne n)
cases n with
| zero => simp only [Nat.reduceAdd, Fin.isValue, Fin.zero_le]
| succ n => rwa [Fin.le_iff_val_le_val, Fin.val_one, Nat.one_le_iff_ne_zero, val_ne_zero_iff]
lemma val_sub_one_of_ne_zero [NeZero n] {i : Fin n} (hi : i ≠ 0) : (i - 1).val = i - 1 := by
obtain ⟨n, rfl⟩ := Nat.exists_eq_succ_of_ne_zero (NeZero.ne n)
rw [Fin.sub_val_of_le (one_le_of_ne_zero hi), Fin.val_one', Nat.mod_eq_of_lt
(Nat.succ_le_iff.mpr (nontrivial_iff_two_le.mp <| nontrivial_of_ne i 0 hi))]
section OfNatCoe
@[simp]
theorem ofNat'_eq_cast (n : ℕ) [NeZero n] (a : ℕ) : Fin.ofNat' n a = a :=
rfl
@[simp] lemma val_natCast (a n : ℕ) [NeZero n] : (a : Fin n).val = a % n := rfl
/-- Converting an in-range number to `Fin (n + 1)` produces a result
whose value is the original number. -/
theorem val_cast_of_lt {n : ℕ} [NeZero n] {a : ℕ} (h : a < n) : (a : Fin n).val = a :=
Nat.mod_eq_of_lt h
/-- If `n` is non-zero, converting the value of a `Fin n` to `Fin n` results
in the same value. -/
@[simp, norm_cast] theorem cast_val_eq_self {n : ℕ} [NeZero n] (a : Fin n) : (a.val : Fin n) = a :=
Fin.ext <| val_cast_of_lt a.isLt
-- This is a special case of `CharP.cast_eq_zero` that doesn't require typeclass search
@[simp high] lemma natCast_self (n : ℕ) [NeZero n] : (n : Fin n) = 0 := by ext; simp
@[simp] lemma natCast_eq_zero {a n : ℕ} [NeZero n] : (a : Fin n) = 0 ↔ n ∣ a := by
simp [Fin.ext_iff, Nat.dvd_iff_mod_eq_zero]
@[simp]
theorem natCast_eq_last (n) : (n : Fin (n + 1)) = Fin.last n := by ext; simp
theorem le_val_last (i : Fin (n + 1)) : i ≤ n := by
rw [Fin.natCast_eq_last]
exact Fin.le_last i
variable {a b : ℕ}
lemma natCast_le_natCast (han : a ≤ n) (hbn : b ≤ n) : (a : Fin (n + 1)) ≤ b ↔ a ≤ b := by
rw [← Nat.lt_succ_iff] at han hbn
simp [le_iff_val_le_val, -val_fin_le, Nat.mod_eq_of_lt, han, hbn]
lemma natCast_lt_natCast (han : a ≤ n) (hbn : b ≤ n) : (a : Fin (n + 1)) < b ↔ a < b := by
rw [← Nat.lt_succ_iff] at han hbn; simp [lt_iff_val_lt_val, Nat.mod_eq_of_lt, han, hbn]
lemma natCast_mono (hbn : b ≤ n) (hab : a ≤ b) : (a : Fin (n + 1)) ≤ b :=
(natCast_le_natCast (hab.trans hbn) hbn).2 hab
lemma natCast_strictMono (hbn : b ≤ n) (hab : a < b) : (a : Fin (n + 1)) < b :=
(natCast_lt_natCast (hab.le.trans hbn) hbn).2 hab
end OfNatCoe
end Add
section Succ
/-!
### succ and casts into larger Fin types
-/
lemma succ_injective (n : ℕ) : Injective (@Fin.succ n) := fun a b ↦ by simp [Fin.ext_iff]
/-- `Fin.succ` as an `Embedding` -/
def succEmb (n : ℕ) : Fin n ↪ Fin (n + 1) where
toFun := succ
inj' := succ_injective _
@[simp]
theorem coe_succEmb : ⇑(succEmb n) = Fin.succ :=
rfl
@[deprecated (since := "2025-04-12")]
alias val_succEmb := coe_succEmb
@[simp]
theorem exists_succ_eq {x : Fin (n + 1)} : (∃ y, Fin.succ y = x) ↔ x ≠ 0 :=
⟨fun ⟨_, hy⟩ => hy ▸ succ_ne_zero _, x.cases (fun h => h.irrefl.elim) (fun _ _ => ⟨_, rfl⟩)⟩
theorem exists_succ_eq_of_ne_zero {x : Fin (n + 1)} (h : x ≠ 0) :
∃ y, Fin.succ y = x := exists_succ_eq.mpr h
@[simp]
theorem succ_zero_eq_one' [NeZero n] : Fin.succ (0 : Fin n) = 1 := by
cases n
· exact (NeZero.ne 0 rfl).elim
· rfl
theorem one_pos' [NeZero n] : (0 : Fin (n + 1)) < 1 := succ_zero_eq_one' (n := n) ▸ succ_pos _
theorem zero_ne_one' [NeZero n] : (0 : Fin (n + 1)) ≠ 1 := Fin.ne_of_lt one_pos'
/--
The `Fin.succ_one_eq_two` in `Lean` only applies in `Fin (n+2)`.
This one instead uses a `NeZero n` typeclass hypothesis.
-/
@[simp]
theorem succ_one_eq_two' [NeZero n] : Fin.succ (1 : Fin (n + 1)) = 2 := by
cases n
· exact (NeZero.ne 0 rfl).elim
· rfl
-- Version of `succ_one_eq_two` to be used by `dsimp`.
-- Note the `'` swapped around due to a move to std4.
/--
The `Fin.le_zero_iff` in `Lean` only applies in `Fin (n+1)`.
This one instead uses a `NeZero n` typeclass hypothesis.
-/
@[simp]
theorem le_zero_iff' {n : ℕ} [NeZero n] {k : Fin n} : k ≤ 0 ↔ k = 0 :=
⟨fun h => Fin.ext <| by rw [Nat.eq_zero_of_le_zero h]; rfl, by rintro rfl; exact Nat.le_refl _⟩
-- TODO: Move to Batteries
@[simp] lemma castLE_inj {hmn : m ≤ n} {a b : Fin m} : castLE hmn a = castLE hmn b ↔ a = b := by
simp [Fin.ext_iff]
@[simp] lemma castAdd_inj {a b : Fin m} : castAdd n a = castAdd n b ↔ a = b := by simp [Fin.ext_iff]
attribute [simp] castSucc_inj
lemma castLE_injective (hmn : m ≤ n) : Injective (castLE hmn) :=
fun _ _ hab ↦ Fin.ext (congr_arg val hab :)
lemma castAdd_injective (m n : ℕ) : Injective (@Fin.castAdd m n) := castLE_injective _
lemma castSucc_injective (n : ℕ) : Injective (@Fin.castSucc n) := castAdd_injective _ _
/-- `Fin.castLE` as an `Embedding`, `castLEEmb h i` embeds `i` into a larger `Fin` type. -/
@[simps apply]
def castLEEmb (h : n ≤ m) : Fin n ↪ Fin m where
toFun := castLE h
inj' := castLE_injective _
@[simp, norm_cast] lemma coe_castLEEmb {m n} (hmn : m ≤ n) : castLEEmb hmn = castLE hmn := rfl
/- The next proof can be golfed a lot using `Fintype.card`.
It is written this way to define `ENat.card` and `Nat.card` without a `Fintype` dependency
(not done yet). -/
lemma nonempty_embedding_iff : Nonempty (Fin n ↪ Fin m) ↔ n ≤ m := by
refine ⟨fun h ↦ ?_, fun h ↦ ⟨castLEEmb h⟩⟩
induction n generalizing m with
| zero => exact m.zero_le
| succ n ihn =>
obtain ⟨e⟩ := h
rcases exists_eq_succ_of_ne_zero (pos_iff_nonempty.2 (Nonempty.map e inferInstance)).ne'
with ⟨m, rfl⟩
refine Nat.succ_le_succ <| ihn ⟨?_⟩
refine ⟨fun i ↦ (e.setValue 0 0 i.succ).pred (mt e.setValue_eq_iff.1 i.succ_ne_zero),
fun i j h ↦ ?_⟩
simpa only [pred_inj, EmbeddingLike.apply_eq_iff_eq, succ_inj] using h
lemma equiv_iff_eq : Nonempty (Fin m ≃ Fin n) ↔ m = n :=
⟨fun ⟨e⟩ ↦ le_antisymm (nonempty_embedding_iff.1 ⟨e⟩) (nonempty_embedding_iff.1 ⟨e.symm⟩),
fun h ↦ h ▸ ⟨.refl _⟩⟩
@[simp] lemma castLE_castSucc {n m} (i : Fin n) (h : n + 1 ≤ m) :
i.castSucc.castLE h = i.castLE (Nat.le_of_succ_le h) :=
rfl
@[simp] lemma castLE_comp_castSucc {n m} (h : n + 1 ≤ m) :
Fin.castLE h ∘ Fin.castSucc = Fin.castLE (Nat.le_of_succ_le h) :=
rfl
@[simp] lemma castLE_rfl (n : ℕ) : Fin.castLE (le_refl n) = id :=
rfl
@[simp]
theorem range_castLE {n k : ℕ} (h : n ≤ k) : Set.range (castLE h) = { i : Fin k | (i : ℕ) < n } :=
Set.ext fun x => ⟨fun ⟨y, hy⟩ => hy ▸ y.2, fun hx => ⟨⟨x, hx⟩, rfl⟩⟩
@[simp]
theorem coe_of_injective_castLE_symm {n k : ℕ} (h : n ≤ k) (i : Fin k) (hi) :
((Equiv.ofInjective _ (castLE_injective h)).symm ⟨i, hi⟩ : ℕ) = i := by
rw [← coe_castLE h]
exact congr_arg Fin.val (Equiv.apply_ofInjective_symm _ _)
theorem leftInverse_cast (eq : n = m) : LeftInverse (Fin.cast eq.symm) (Fin.cast eq) :=
fun _ => rfl
theorem rightInverse_cast (eq : n = m) : RightInverse (Fin.cast eq.symm) (Fin.cast eq) :=
fun _ => rfl
@[simp]
theorem cast_inj (eq : n = m) {a b : Fin n} : a.cast eq = b.cast eq ↔ a = b := by
simp [← val_inj]
@[simp]
theorem cast_lt_cast (eq : n = m) {a b : Fin n} : a.cast eq < b.cast eq ↔ a < b :=
Iff.rfl
@[simp]
theorem cast_le_cast (eq : n = m) {a b : Fin n} : a.cast eq ≤ b.cast eq ↔ a ≤ b :=
Iff.rfl
/-- The 'identity' equivalence between `Fin m` and `Fin n` when `m = n`. -/
@[simps]
def _root_.finCongr (eq : n = m) : Fin n ≃ Fin m where
toFun := Fin.cast eq
invFun := Fin.cast eq.symm
left_inv := leftInverse_cast eq
right_inv := rightInverse_cast eq
@[simp] lemma _root_.finCongr_apply_mk (h : m = n) (k : ℕ) (hk : k < m) :
finCongr h ⟨k, hk⟩ = ⟨k, h ▸ hk⟩ := rfl
@[simp]
lemma _root_.finCongr_refl (h : n = n := rfl) : finCongr h = Equiv.refl (Fin n) := by ext; simp
@[simp] lemma _root_.finCongr_symm (h : m = n) : (finCongr h).symm = finCongr h.symm := rfl
@[simp] lemma _root_.finCongr_apply_coe (h : m = n) (k : Fin m) : (finCongr h k : ℕ) = k := rfl
lemma _root_.finCongr_symm_apply_coe (h : m = n) (k : Fin n) : ((finCongr h).symm k : ℕ) = k := rfl
/-- While in many cases `finCongr` is better than `Equiv.cast`/`cast`, sometimes we want to apply
a generic theorem about `cast`. -/
lemma _root_.finCongr_eq_equivCast (h : n = m) : finCongr h = .cast (h ▸ rfl) := by subst h; simp
/-- While in many cases `Fin.cast` is better than `Equiv.cast`/`cast`, sometimes we want to apply
a generic theorem about `cast`. -/
theorem cast_eq_cast (h : n = m) : (Fin.cast h : Fin n → Fin m) = _root_.cast (h ▸ rfl) := by
subst h
ext
rfl
/-- `Fin.castAdd` as an `Embedding`, `castAddEmb m i` embeds `i : Fin n` in `Fin (n+m)`.
See also `Fin.natAddEmb` and `Fin.addNatEmb`. -/
def castAddEmb (m) : Fin n ↪ Fin (n + m) := castLEEmb (le_add_right n m)
@[simp]
lemma coe_castAddEmb (m) : (castAddEmb m : Fin n → Fin (n + m)) = castAdd m := rfl
lemma castAddEmb_apply (m) (i : Fin n) : castAddEmb m i = castAdd m i := rfl
/-- `Fin.castSucc` as an `Embedding`, `castSuccEmb i` embeds `i : Fin n` in `Fin (n+1)`. -/
def castSuccEmb : Fin n ↪ Fin (n + 1) := castAddEmb _
@[simp, norm_cast] lemma coe_castSuccEmb : (castSuccEmb : Fin n → Fin (n + 1)) = Fin.castSucc := rfl
lemma castSuccEmb_apply (i : Fin n) : castSuccEmb i = i.castSucc := rfl
theorem castSucc_le_succ {n} (i : Fin n) : i.castSucc ≤ i.succ := Nat.le_succ i
@[simp] theorem castSucc_le_castSucc_iff {a b : Fin n} : castSucc a ≤ castSucc b ↔ a ≤ b := .rfl
@[simp] theorem succ_le_castSucc_iff {a b : Fin n} : succ a ≤ castSucc b ↔ a < b := by
rw [le_castSucc_iff, succ_lt_succ_iff]
@[simp] theorem castSucc_lt_succ_iff {a b : Fin n} : castSucc a < succ b ↔ a ≤ b := by
rw [castSucc_lt_iff_succ_le, succ_le_succ_iff]
| theorem le_of_castSucc_lt_of_succ_lt {a b : Fin (n + 1)} {i : Fin n}
(hl : castSucc i < a) (hu : b < succ i) : b < a := by
simp [Fin.lt_def, -val_fin_lt] at *; omega
| Mathlib/Data/Fin/Basic.lean | 607 | 609 |
/-
Copyright (c) 2019 Sébastien Gouëzel. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Sébastien Gouëzel, Floris van Doorn
-/
import Mathlib.Analysis.Calculus.ContDiff.Defs
import Mathlib.Analysis.Calculus.ContDiff.FaaDiBruno
import Mathlib.Analysis.Calculus.FDeriv.Add
import Mathlib.Analysis.Calculus.FDeriv.Mul
/-!
# Higher differentiability of composition
We prove that the composition of `C^n` functions is `C^n`.
We also expand the API around `C^n` functions.
## Main results
* `ContDiff.comp` states that the composition of two `C^n` functions is `C^n`.
Similar results are given for `C^n` functions on domains.
## Notations
We use the notation `E [×n]→L[𝕜] F` for the space of continuous multilinear maps on `E^n` with
values in `F`. This is the space in which the `n`-th derivative of a function from `E` to `F` lives.
In this file, we denote `(⊤ : ℕ∞) : WithTop ℕ∞` with `∞` and `⊤ : WithTop ℕ∞` with `ω`.
## Tags
derivative, differentiability, higher derivative, `C^n`, multilinear, Taylor series, formal series
-/
noncomputable section
open scoped NNReal Nat ContDiff
universe u uE uF uG
attribute [local instance 1001]
NormedAddCommGroup.toAddCommGroup AddCommGroup.toAddCommMonoid
open Set Fin Filter Function
open scoped Topology
variable {𝕜 : Type*} [NontriviallyNormedField 𝕜]
{E : Type uE} [NormedAddCommGroup E] [NormedSpace 𝕜 E] {F : Type uF}
[NormedAddCommGroup F] [NormedSpace 𝕜 F] {G : Type uG} [NormedAddCommGroup G] [NormedSpace 𝕜 G]
{X : Type*} [NormedAddCommGroup X] [NormedSpace 𝕜 X] {s t : Set E} {f : E → F}
{g : F → G} {x x₀ : E} {b : E × F → G} {m n : WithTop ℕ∞} {p : E → FormalMultilinearSeries 𝕜 E F}
/-! ### Constants -/
section constants
theorem iteratedFDerivWithin_succ_const (n : ℕ) (c : F) :
iteratedFDerivWithin 𝕜 (n + 1) (fun _ : E ↦ c) s = 0 := by
induction n with
| zero =>
ext1
simp [iteratedFDerivWithin_succ_eq_comp_left, iteratedFDerivWithin_zero_eq_comp, comp_def]
| succ n IH =>
rw [iteratedFDerivWithin_succ_eq_comp_left, IH]
simp only [Pi.zero_def, comp_def, fderivWithin_const, map_zero]
@[simp]
theorem iteratedFDerivWithin_zero_fun {i : ℕ} :
iteratedFDerivWithin 𝕜 i (fun _ : E ↦ (0 : F)) s = 0 := by
cases i with
| zero => ext; simp
| succ i => apply iteratedFDerivWithin_succ_const
@[simp]
theorem iteratedFDeriv_zero_fun {n : ℕ} : (iteratedFDeriv 𝕜 n fun _ : E ↦ (0 : F)) = 0 :=
funext fun x ↦ by simp only [← iteratedFDerivWithin_univ, iteratedFDerivWithin_zero_fun]
theorem contDiff_zero_fun : ContDiff 𝕜 n fun _ : E => (0 : F) :=
analyticOnNhd_const.contDiff
/-- Constants are `C^∞`. -/
theorem contDiff_const {c : F} : ContDiff 𝕜 n fun _ : E => c :=
analyticOnNhd_const.contDiff
theorem contDiffOn_const {c : F} {s : Set E} : ContDiffOn 𝕜 n (fun _ : E => c) s :=
contDiff_const.contDiffOn
theorem contDiffAt_const {c : F} : ContDiffAt 𝕜 n (fun _ : E => c) x :=
contDiff_const.contDiffAt
theorem contDiffWithinAt_const {c : F} : ContDiffWithinAt 𝕜 n (fun _ : E => c) s x :=
contDiffAt_const.contDiffWithinAt
@[nontriviality]
theorem contDiff_of_subsingleton [Subsingleton F] : ContDiff 𝕜 n f := by
rw [Subsingleton.elim f fun _ => 0]; exact contDiff_const
@[nontriviality]
theorem contDiffAt_of_subsingleton [Subsingleton F] : ContDiffAt 𝕜 n f x := by
rw [Subsingleton.elim f fun _ => 0]; exact contDiffAt_const
@[nontriviality]
theorem contDiffWithinAt_of_subsingleton [Subsingleton F] : ContDiffWithinAt 𝕜 n f s x := by
rw [Subsingleton.elim f fun _ => 0]; exact contDiffWithinAt_const
@[nontriviality]
theorem contDiffOn_of_subsingleton [Subsingleton F] : ContDiffOn 𝕜 n f s := by
rw [Subsingleton.elim f fun _ => 0]; exact contDiffOn_const
theorem iteratedFDerivWithin_const_of_ne {n : ℕ} (hn : n ≠ 0) (c : F) (s : Set E) :
iteratedFDerivWithin 𝕜 n (fun _ : E ↦ c) s = 0 := by
cases n with
| zero => contradiction
| succ n => exact iteratedFDerivWithin_succ_const n c
theorem iteratedFDeriv_const_of_ne {n : ℕ} (hn : n ≠ 0) (c : F) :
(iteratedFDeriv 𝕜 n fun _ : E ↦ c) = 0 := by
simp only [← iteratedFDerivWithin_univ, iteratedFDerivWithin_const_of_ne hn]
theorem iteratedFDeriv_succ_const (n : ℕ) (c : F) :
(iteratedFDeriv 𝕜 (n + 1) fun _ : E ↦ c) = 0 :=
iteratedFDeriv_const_of_ne (by simp) _
theorem contDiffWithinAt_singleton : ContDiffWithinAt 𝕜 n f {x} x :=
(contDiffWithinAt_const (c := f x)).congr (by simp) rfl
end constants
/-! ### Smoothness of linear functions -/
section linear
/-- Unbundled bounded linear functions are `C^n`. -/
theorem IsBoundedLinearMap.contDiff (hf : IsBoundedLinearMap 𝕜 f) : ContDiff 𝕜 n f :=
(ContinuousLinearMap.analyticOnNhd hf.toContinuousLinearMap univ).contDiff
theorem ContinuousLinearMap.contDiff (f : E →L[𝕜] F) : ContDiff 𝕜 n f :=
f.isBoundedLinearMap.contDiff
theorem ContinuousLinearEquiv.contDiff (f : E ≃L[𝕜] F) : ContDiff 𝕜 n f :=
(f : E →L[𝕜] F).contDiff
theorem LinearIsometry.contDiff (f : E →ₗᵢ[𝕜] F) : ContDiff 𝕜 n f :=
f.toContinuousLinearMap.contDiff
theorem LinearIsometryEquiv.contDiff (f : E ≃ₗᵢ[𝕜] F) : ContDiff 𝕜 n f :=
(f : E →L[𝕜] F).contDiff
/-- The identity is `C^n`. -/
theorem contDiff_id : ContDiff 𝕜 n (id : E → E) :=
IsBoundedLinearMap.id.contDiff
theorem contDiffWithinAt_id {s x} : ContDiffWithinAt 𝕜 n (id : E → E) s x :=
contDiff_id.contDiffWithinAt
theorem contDiffAt_id {x} : ContDiffAt 𝕜 n (id : E → E) x :=
contDiff_id.contDiffAt
theorem contDiffOn_id {s} : ContDiffOn 𝕜 n (id : E → E) s :=
contDiff_id.contDiffOn
/-- Bilinear functions are `C^n`. -/
theorem IsBoundedBilinearMap.contDiff (hb : IsBoundedBilinearMap 𝕜 b) : ContDiff 𝕜 n b :=
(hb.toContinuousLinearMap.analyticOnNhd_bilinear _).contDiff
/-- If `f` admits a Taylor series `p` in a set `s`, and `g` is linear, then `g ∘ f` admits a Taylor
series whose `k`-th term is given by `g ∘ (p k)`. -/
theorem HasFTaylorSeriesUpToOn.continuousLinearMap_comp {n : WithTop ℕ∞} (g : F →L[𝕜] G)
(hf : HasFTaylorSeriesUpToOn n f p s) :
HasFTaylorSeriesUpToOn n (g ∘ f) (fun x k => g.compContinuousMultilinearMap (p x k)) s where
zero_eq x hx := congr_arg g (hf.zero_eq x hx)
fderivWithin m hm x hx := (ContinuousLinearMap.compContinuousMultilinearMapL 𝕜
(fun _ : Fin m => E) F G g).hasFDerivAt.comp_hasFDerivWithinAt x (hf.fderivWithin m hm x hx)
cont m hm := (ContinuousLinearMap.compContinuousMultilinearMapL 𝕜
(fun _ : Fin m => E) F G g).continuous.comp_continuousOn (hf.cont m hm)
/-- Composition by continuous linear maps on the left preserves `C^n` functions in a domain
at a point. -/
theorem ContDiffWithinAt.continuousLinearMap_comp (g : F →L[𝕜] G)
(hf : ContDiffWithinAt 𝕜 n f s x) : ContDiffWithinAt 𝕜 n (g ∘ f) s x := by
match n with
| ω =>
obtain ⟨u, hu, p, hp, h'p⟩ := hf
refine ⟨u, hu, _, hp.continuousLinearMap_comp g, fun i ↦ ?_⟩
change AnalyticOn 𝕜
(fun x ↦ (ContinuousLinearMap.compContinuousMultilinearMapL 𝕜
(fun _ : Fin i ↦ E) F G g) (p x i)) u
apply AnalyticOnNhd.comp_analyticOn _ (h'p i) (Set.mapsTo_univ _ _)
exact ContinuousLinearMap.analyticOnNhd _ _
| (n : ℕ∞) =>
intro m hm
rcases hf m hm with ⟨u, hu, p, hp⟩
exact ⟨u, hu, _, hp.continuousLinearMap_comp g⟩
/-- Composition by continuous linear maps on the left preserves `C^n` functions in a domain
at a point. -/
theorem ContDiffAt.continuousLinearMap_comp (g : F →L[𝕜] G) (hf : ContDiffAt 𝕜 n f x) :
ContDiffAt 𝕜 n (g ∘ f) x :=
ContDiffWithinAt.continuousLinearMap_comp g hf
/-- Composition by continuous linear maps on the left preserves `C^n` functions on domains. -/
theorem ContDiffOn.continuousLinearMap_comp (g : F →L[𝕜] G) (hf : ContDiffOn 𝕜 n f s) :
ContDiffOn 𝕜 n (g ∘ f) s := fun x hx => (hf x hx).continuousLinearMap_comp g
/-- Composition by continuous linear maps on the left preserves `C^n` functions. -/
theorem ContDiff.continuousLinearMap_comp {f : E → F} (g : F →L[𝕜] G) (hf : ContDiff 𝕜 n f) :
ContDiff 𝕜 n fun x => g (f x) :=
contDiffOn_univ.1 <| ContDiffOn.continuousLinearMap_comp _ (contDiffOn_univ.2 hf)
/-- The iterated derivative within a set of the composition with a linear map on the left is
obtained by applying the linear map to the iterated derivative. -/
theorem ContinuousLinearMap.iteratedFDerivWithin_comp_left {f : E → F} (g : F →L[𝕜] G)
(hf : ContDiffWithinAt 𝕜 n f s x) (hs : UniqueDiffOn 𝕜 s) (hx : x ∈ s) {i : ℕ} (hi : i ≤ n) :
iteratedFDerivWithin 𝕜 i (g ∘ f) s x =
g.compContinuousMultilinearMap (iteratedFDerivWithin 𝕜 i f s x) := by
rcases hf.contDiffOn' hi (by simp) with ⟨U, hU, hxU, hfU⟩
rw [← iteratedFDerivWithin_inter_open hU hxU, ← iteratedFDerivWithin_inter_open (f := f) hU hxU]
rw [insert_eq_of_mem hx] at hfU
exact .symm <| (hfU.ftaylorSeriesWithin (hs.inter hU)).continuousLinearMap_comp g
|>.eq_iteratedFDerivWithin_of_uniqueDiffOn le_rfl (hs.inter hU) ⟨hx, hxU⟩
/-- The iterated derivative of the composition with a linear map on the left is
obtained by applying the linear map to the iterated derivative. -/
theorem ContinuousLinearMap.iteratedFDeriv_comp_left {f : E → F} (g : F →L[𝕜] G)
(hf : ContDiffAt 𝕜 n f x) {i : ℕ} (hi : i ≤ n) :
iteratedFDeriv 𝕜 i (g ∘ f) x = g.compContinuousMultilinearMap (iteratedFDeriv 𝕜 i f x) := by
simp only [← iteratedFDerivWithin_univ]
exact g.iteratedFDerivWithin_comp_left hf.contDiffWithinAt uniqueDiffOn_univ (mem_univ x) hi
/-- The iterated derivative within a set of the composition with a linear equiv on the left is
obtained by applying the linear equiv to the iterated derivative. This is true without
differentiability assumptions. -/
theorem ContinuousLinearEquiv.iteratedFDerivWithin_comp_left (g : F ≃L[𝕜] G) (f : E → F)
(hs : UniqueDiffOn 𝕜 s) (hx : x ∈ s) (i : ℕ) :
iteratedFDerivWithin 𝕜 i (g ∘ f) s x =
(g : F →L[𝕜] G).compContinuousMultilinearMap (iteratedFDerivWithin 𝕜 i f s x) := by
induction' i with i IH generalizing x
· ext1 m
simp only [iteratedFDerivWithin_zero_apply, comp_apply,
ContinuousLinearMap.compContinuousMultilinearMap_coe, coe_coe]
· ext1 m
rw [iteratedFDerivWithin_succ_apply_left]
have Z : fderivWithin 𝕜 (iteratedFDerivWithin 𝕜 i (g ∘ f) s) s x =
fderivWithin 𝕜 (g.continuousMultilinearMapCongrRight (fun _ : Fin i => E) ∘
iteratedFDerivWithin 𝕜 i f s) s x :=
fderivWithin_congr' (@IH) hx
simp_rw [Z]
rw [(g.continuousMultilinearMapCongrRight fun _ : Fin i => E).comp_fderivWithin (hs x hx)]
simp only [ContinuousLinearMap.coe_comp', ContinuousLinearEquiv.coe_coe, comp_apply,
ContinuousLinearEquiv.continuousMultilinearMapCongrRight_apply,
ContinuousLinearMap.compContinuousMultilinearMap_coe, EmbeddingLike.apply_eq_iff_eq]
rw [iteratedFDerivWithin_succ_apply_left]
/-- Composition with a linear isometry on the left preserves the norm of the iterated
derivative within a set. -/
theorem LinearIsometry.norm_iteratedFDerivWithin_comp_left {f : E → F} (g : F →ₗᵢ[𝕜] G)
(hf : ContDiffWithinAt 𝕜 n f s x) (hs : UniqueDiffOn 𝕜 s) (hx : x ∈ s) {i : ℕ} (hi : i ≤ n) :
‖iteratedFDerivWithin 𝕜 i (g ∘ f) s x‖ = ‖iteratedFDerivWithin 𝕜 i f s x‖ := by
have :
iteratedFDerivWithin 𝕜 i (g ∘ f) s x =
g.toContinuousLinearMap.compContinuousMultilinearMap (iteratedFDerivWithin 𝕜 i f s x) :=
g.toContinuousLinearMap.iteratedFDerivWithin_comp_left hf hs hx hi
rw [this]
apply LinearIsometry.norm_compContinuousMultilinearMap
/-- Composition with a linear isometry on the left preserves the norm of the iterated
derivative. -/
theorem LinearIsometry.norm_iteratedFDeriv_comp_left {f : E → F} (g : F →ₗᵢ[𝕜] G)
(hf : ContDiffAt 𝕜 n f x) {i : ℕ} (hi : i ≤ n) :
‖iteratedFDeriv 𝕜 i (g ∘ f) x‖ = ‖iteratedFDeriv 𝕜 i f x‖ := by
simp only [← iteratedFDerivWithin_univ]
exact g.norm_iteratedFDerivWithin_comp_left hf.contDiffWithinAt uniqueDiffOn_univ (mem_univ x) hi
/-- Composition with a linear isometry equiv on the left preserves the norm of the iterated
derivative within a set. -/
theorem LinearIsometryEquiv.norm_iteratedFDerivWithin_comp_left (g : F ≃ₗᵢ[𝕜] G) (f : E → F)
(hs : UniqueDiffOn 𝕜 s) (hx : x ∈ s) (i : ℕ) :
‖iteratedFDerivWithin 𝕜 i (g ∘ f) s x‖ = ‖iteratedFDerivWithin 𝕜 i f s x‖ := by
have :
iteratedFDerivWithin 𝕜 i (g ∘ f) s x =
(g : F →L[𝕜] G).compContinuousMultilinearMap (iteratedFDerivWithin 𝕜 i f s x) :=
g.toContinuousLinearEquiv.iteratedFDerivWithin_comp_left f hs hx i
rw [this]
apply LinearIsometry.norm_compContinuousMultilinearMap g.toLinearIsometry
/-- Composition with a linear isometry equiv on the left preserves the norm of the iterated
derivative. -/
theorem LinearIsometryEquiv.norm_iteratedFDeriv_comp_left (g : F ≃ₗᵢ[𝕜] G) (f : E → F) (x : E)
(i : ℕ) : ‖iteratedFDeriv 𝕜 i (g ∘ f) x‖ = ‖iteratedFDeriv 𝕜 i f x‖ := by
rw [← iteratedFDerivWithin_univ, ← iteratedFDerivWithin_univ]
apply g.norm_iteratedFDerivWithin_comp_left f uniqueDiffOn_univ (mem_univ x) i
/-- Composition by continuous linear equivs on the left respects higher differentiability at a
point in a domain. -/
theorem ContinuousLinearEquiv.comp_contDiffWithinAt_iff (e : F ≃L[𝕜] G) :
ContDiffWithinAt 𝕜 n (e ∘ f) s x ↔ ContDiffWithinAt 𝕜 n f s x :=
⟨fun H => by
simpa only [Function.comp_def, e.symm.coe_coe, e.symm_apply_apply] using
H.continuousLinearMap_comp (e.symm : G →L[𝕜] F),
fun H => H.continuousLinearMap_comp (e : F →L[𝕜] G)⟩
/-- Composition by continuous linear equivs on the left respects higher differentiability at a
point. -/
theorem ContinuousLinearEquiv.comp_contDiffAt_iff (e : F ≃L[𝕜] G) :
ContDiffAt 𝕜 n (e ∘ f) x ↔ ContDiffAt 𝕜 n f x := by
simp only [← contDiffWithinAt_univ, e.comp_contDiffWithinAt_iff]
/-- Composition by continuous linear equivs on the left respects higher differentiability on
domains. -/
theorem ContinuousLinearEquiv.comp_contDiffOn_iff (e : F ≃L[𝕜] G) :
ContDiffOn 𝕜 n (e ∘ f) s ↔ ContDiffOn 𝕜 n f s := by
simp [ContDiffOn, e.comp_contDiffWithinAt_iff]
/-- Composition by continuous linear equivs on the left respects higher differentiability. -/
theorem ContinuousLinearEquiv.comp_contDiff_iff (e : F ≃L[𝕜] G) :
ContDiff 𝕜 n (e ∘ f) ↔ ContDiff 𝕜 n f := by
simp only [← contDiffOn_univ, e.comp_contDiffOn_iff]
/-- If `f` admits a Taylor series `p` in a set `s`, and `g` is linear, then `f ∘ g` admits a Taylor
series in `g ⁻¹' s`, whose `k`-th term is given by `p k (g v₁, ..., g vₖ)` . -/
theorem HasFTaylorSeriesUpToOn.compContinuousLinearMap
(hf : HasFTaylorSeriesUpToOn n f p s) (g : G →L[𝕜] E) :
HasFTaylorSeriesUpToOn n (f ∘ g) (fun x k => (p (g x) k).compContinuousLinearMap fun _ => g)
(g ⁻¹' s) := by
let A : ∀ m : ℕ, (E[×m]→L[𝕜] F) → G[×m]→L[𝕜] F := fun m h => h.compContinuousLinearMap fun _ => g
have hA : ∀ m, IsBoundedLinearMap 𝕜 (A m) := fun m =>
isBoundedLinearMap_continuousMultilinearMap_comp_linear g
constructor
· intro x hx
simp only [(hf.zero_eq (g x) hx).symm, Function.comp_apply]
change (p (g x) 0 fun _ : Fin 0 => g 0) = p (g x) 0 0
rw [ContinuousLinearMap.map_zero]
rfl
· intro m hm x hx
convert (hA m).hasFDerivAt.comp_hasFDerivWithinAt x
((hf.fderivWithin m hm (g x) hx).comp x g.hasFDerivWithinAt (Subset.refl _))
ext y v
change p (g x) (Nat.succ m) (g ∘ cons y v) = p (g x) m.succ (cons (g y) (g ∘ v))
rw [comp_cons]
· intro m hm
exact (hA m).continuous.comp_continuousOn <| (hf.cont m hm).comp g.continuous.continuousOn <|
Subset.refl _
/-- Composition by continuous linear maps on the right preserves `C^n` functions at a point on
a domain. -/
theorem ContDiffWithinAt.comp_continuousLinearMap {x : G} (g : G →L[𝕜] E)
(hf : ContDiffWithinAt 𝕜 n f s (g x)) : ContDiffWithinAt 𝕜 n (f ∘ g) (g ⁻¹' s) x := by
match n with
| ω =>
obtain ⟨u, hu, p, hp, h'p⟩ := hf
refine ⟨g ⁻¹' u, ?_, _, hp.compContinuousLinearMap g, ?_⟩
· refine g.continuous.continuousWithinAt.tendsto_nhdsWithin ?_ hu
exact (mapsTo_singleton.2 <| mem_singleton _).union_union (mapsTo_preimage _ _)
· intro i
change AnalyticOn 𝕜 (fun x ↦
ContinuousMultilinearMap.compContinuousLinearMapL (fun _ ↦ g) (p (g x) i)) (⇑g ⁻¹' u)
apply AnalyticOn.comp _ _ (Set.mapsTo_univ _ _)
· exact ContinuousLinearEquiv.analyticOn _ _
· exact (h'p i).comp (g.analyticOn _) (mapsTo_preimage _ _)
| (n : ℕ∞) =>
intro m hm
rcases hf m hm with ⟨u, hu, p, hp⟩
refine ⟨g ⁻¹' u, ?_, _, hp.compContinuousLinearMap g⟩
refine g.continuous.continuousWithinAt.tendsto_nhdsWithin ?_ hu
exact (mapsTo_singleton.2 <| mem_singleton _).union_union (mapsTo_preimage _ _)
/-- Composition by continuous linear maps on the right preserves `C^n` functions on domains. -/
theorem ContDiffOn.comp_continuousLinearMap (hf : ContDiffOn 𝕜 n f s) (g : G →L[𝕜] E) :
ContDiffOn 𝕜 n (f ∘ g) (g ⁻¹' s) := fun x hx => (hf (g x) hx).comp_continuousLinearMap g
/-- Composition by continuous linear maps on the right preserves `C^n` functions. -/
theorem ContDiff.comp_continuousLinearMap {f : E → F} {g : G →L[𝕜] E} (hf : ContDiff 𝕜 n f) :
ContDiff 𝕜 n (f ∘ g) :=
contDiffOn_univ.1 <| ContDiffOn.comp_continuousLinearMap (contDiffOn_univ.2 hf) _
/-- The iterated derivative within a set of the composition with a linear map on the right is
obtained by composing the iterated derivative with the linear map. -/
theorem ContinuousLinearMap.iteratedFDerivWithin_comp_right {f : E → F} (g : G →L[𝕜] E)
(hf : ContDiffOn 𝕜 n f s) (hs : UniqueDiffOn 𝕜 s) (h's : UniqueDiffOn 𝕜 (g ⁻¹' s)) {x : G}
(hx : g x ∈ s) {i : ℕ} (hi : i ≤ n) :
iteratedFDerivWithin 𝕜 i (f ∘ g) (g ⁻¹' s) x =
(iteratedFDerivWithin 𝕜 i f s (g x)).compContinuousLinearMap fun _ => g :=
((((hf.of_le hi).ftaylorSeriesWithin hs).compContinuousLinearMap
g).eq_iteratedFDerivWithin_of_uniqueDiffOn le_rfl h's hx).symm
/-- The iterated derivative within a set of the composition with a linear equiv on the right is
obtained by composing the iterated derivative with the linear equiv. -/
theorem ContinuousLinearEquiv.iteratedFDerivWithin_comp_right (g : G ≃L[𝕜] E) (f : E → F)
(hs : UniqueDiffOn 𝕜 s) {x : G} (hx : g x ∈ s) (i : ℕ) :
iteratedFDerivWithin 𝕜 i (f ∘ g) (g ⁻¹' s) x =
(iteratedFDerivWithin 𝕜 i f s (g x)).compContinuousLinearMap fun _ => g := by
induction' i with i IH generalizing x
· ext1
simp only [iteratedFDerivWithin_zero_apply, comp_apply,
ContinuousMultilinearMap.compContinuousLinearMap_apply]
· ext1 m
simp only [ContinuousMultilinearMap.compContinuousLinearMap_apply,
ContinuousLinearEquiv.coe_coe, iteratedFDerivWithin_succ_apply_left]
have : fderivWithin 𝕜 (iteratedFDerivWithin 𝕜 i (f ∘ g) (g ⁻¹' s)) (g ⁻¹' s) x =
fderivWithin 𝕜
(ContinuousLinearEquiv.continuousMultilinearMapCongrLeft _ (fun _x : Fin i => g) ∘
(iteratedFDerivWithin 𝕜 i f s ∘ g)) (g ⁻¹' s) x :=
fderivWithin_congr' (@IH) hx
rw [this, ContinuousLinearEquiv.comp_fderivWithin _ (g.uniqueDiffOn_preimage_iff.2 hs x hx)]
simp only [ContinuousLinearMap.coe_comp', ContinuousLinearEquiv.coe_coe, comp_apply,
ContinuousLinearEquiv.continuousMultilinearMapCongrLeft_apply,
ContinuousMultilinearMap.compContinuousLinearMap_apply]
rw [ContinuousLinearEquiv.comp_right_fderivWithin _ (g.uniqueDiffOn_preimage_iff.2 hs x hx),
ContinuousLinearMap.coe_comp', coe_coe, comp_apply, tail_def, tail_def]
/-- The iterated derivative of the composition with a linear map on the right is
obtained by composing the iterated derivative with the linear map. -/
theorem ContinuousLinearMap.iteratedFDeriv_comp_right (g : G →L[𝕜] E) {f : E → F}
(hf : ContDiff 𝕜 n f) (x : G) {i : ℕ} (hi : i ≤ n) :
iteratedFDeriv 𝕜 i (f ∘ g) x =
(iteratedFDeriv 𝕜 i f (g x)).compContinuousLinearMap fun _ => g := by
simp only [← iteratedFDerivWithin_univ]
exact g.iteratedFDerivWithin_comp_right hf.contDiffOn uniqueDiffOn_univ uniqueDiffOn_univ
(mem_univ _) hi
/-- Composition with a linear isometry on the right preserves the norm of the iterated derivative
within a set. -/
theorem LinearIsometryEquiv.norm_iteratedFDerivWithin_comp_right (g : G ≃ₗᵢ[𝕜] E) (f : E → F)
(hs : UniqueDiffOn 𝕜 s) {x : G} (hx : g x ∈ s) (i : ℕ) :
‖iteratedFDerivWithin 𝕜 i (f ∘ g) (g ⁻¹' s) x‖ = ‖iteratedFDerivWithin 𝕜 i f s (g x)‖ := by
have : iteratedFDerivWithin 𝕜 i (f ∘ g) (g ⁻¹' s) x =
(iteratedFDerivWithin 𝕜 i f s (g x)).compContinuousLinearMap fun _ => g :=
g.toContinuousLinearEquiv.iteratedFDerivWithin_comp_right f hs hx i
rw [this, ContinuousMultilinearMap.norm_compContinuous_linearIsometryEquiv]
/-- Composition with a linear isometry on the right preserves the norm of the iterated derivative
within a set. -/
theorem LinearIsometryEquiv.norm_iteratedFDeriv_comp_right (g : G ≃ₗᵢ[𝕜] E) (f : E → F) (x : G)
(i : ℕ) : ‖iteratedFDeriv 𝕜 i (f ∘ g) x‖ = ‖iteratedFDeriv 𝕜 i f (g x)‖ := by
simp only [← iteratedFDerivWithin_univ]
apply g.norm_iteratedFDerivWithin_comp_right f uniqueDiffOn_univ (mem_univ (g x)) i
/-- Composition by continuous linear equivs on the right respects higher differentiability at a
point in a domain. -/
theorem ContinuousLinearEquiv.contDiffWithinAt_comp_iff (e : G ≃L[𝕜] E) :
ContDiffWithinAt 𝕜 n (f ∘ e) (e ⁻¹' s) (e.symm x) ↔ ContDiffWithinAt 𝕜 n f s x := by
constructor
· intro H
simpa [← preimage_comp, Function.comp_def] using H.comp_continuousLinearMap (e.symm : E →L[𝕜] G)
· intro H
rw [← e.apply_symm_apply x, ← e.coe_coe] at H
exact H.comp_continuousLinearMap _
/-- Composition by continuous linear equivs on the right respects higher differentiability at a
point. -/
theorem ContinuousLinearEquiv.contDiffAt_comp_iff (e : G ≃L[𝕜] E) :
ContDiffAt 𝕜 n (f ∘ e) (e.symm x) ↔ ContDiffAt 𝕜 n f x := by
rw [← contDiffWithinAt_univ, ← contDiffWithinAt_univ, ← preimage_univ]
exact e.contDiffWithinAt_comp_iff
/-- Composition by continuous linear equivs on the right respects higher differentiability on
domains. -/
theorem ContinuousLinearEquiv.contDiffOn_comp_iff (e : G ≃L[𝕜] E) :
ContDiffOn 𝕜 n (f ∘ e) (e ⁻¹' s) ↔ ContDiffOn 𝕜 n f s :=
⟨fun H => by simpa [Function.comp_def] using H.comp_continuousLinearMap (e.symm : E →L[𝕜] G),
fun H => H.comp_continuousLinearMap (e : G →L[𝕜] E)⟩
/-- Composition by continuous linear equivs on the right respects higher differentiability. -/
theorem ContinuousLinearEquiv.contDiff_comp_iff (e : G ≃L[𝕜] E) :
ContDiff 𝕜 n (f ∘ e) ↔ ContDiff 𝕜 n f := by
rw [← contDiffOn_univ, ← contDiffOn_univ, ← preimage_univ]
exact e.contDiffOn_comp_iff
end linear
/-! ### The Cartesian product of two C^n functions is C^n. -/
section prod
/-- If two functions `f` and `g` admit Taylor series `p` and `q` in a set `s`, then the cartesian
product of `f` and `g` admits the cartesian product of `p` and `q` as a Taylor series. -/
theorem HasFTaylorSeriesUpToOn.prodMk {n : WithTop ℕ∞}
(hf : HasFTaylorSeriesUpToOn n f p s) {g : E → G}
{q : E → FormalMultilinearSeries 𝕜 E G} (hg : HasFTaylorSeriesUpToOn n g q s) :
HasFTaylorSeriesUpToOn n (fun y => (f y, g y)) (fun y k => (p y k).prod (q y k)) s := by
set L := fun m => ContinuousMultilinearMap.prodL 𝕜 (fun _ : Fin m => E) F G
constructor
· intro x hx; rw [← hf.zero_eq x hx, ← hg.zero_eq x hx]; rfl
· intro m hm x hx
convert (L m).hasFDerivAt.comp_hasFDerivWithinAt x
((hf.fderivWithin m hm x hx).prodMk (hg.fderivWithin m hm x hx))
· intro m hm
exact (L m).continuous.comp_continuousOn ((hf.cont m hm).prodMk (hg.cont m hm))
@[deprecated (since := "2025-03-09")]
alias HasFTaylorSeriesUpToOn.prod := HasFTaylorSeriesUpToOn.prodMk
/-- The cartesian product of `C^n` functions at a point in a domain is `C^n`. -/
theorem ContDiffWithinAt.prodMk {s : Set E} {f : E → F} {g : E → G}
(hf : ContDiffWithinAt 𝕜 n f s x) (hg : ContDiffWithinAt 𝕜 n g s x) :
ContDiffWithinAt 𝕜 n (fun x : E => (f x, g x)) s x := by
match n with
| ω =>
obtain ⟨u, hu, p, hp, h'p⟩ := hf
obtain ⟨v, hv, q, hq, h'q⟩ := hg
refine ⟨u ∩ v, Filter.inter_mem hu hv, _,
(hp.mono inter_subset_left).prodMk (hq.mono inter_subset_right), fun i ↦ ?_⟩
change AnalyticOn 𝕜 (fun x ↦ ContinuousMultilinearMap.prodL _ _ _ _ (p x i, q x i)) (u ∩ v)
apply (LinearIsometryEquiv.analyticOnNhd _ _).comp_analyticOn _ (Set.mapsTo_univ _ _)
exact ((h'p i).mono inter_subset_left).prod ((h'q i).mono inter_subset_right)
| (n : ℕ∞) =>
intro m hm
rcases hf m hm with ⟨u, hu, p, hp⟩
rcases hg m hm with ⟨v, hv, q, hq⟩
exact ⟨u ∩ v, Filter.inter_mem hu hv, _,
(hp.mono inter_subset_left).prodMk (hq.mono inter_subset_right)⟩
@[deprecated (since := "2025-03-09")]
alias ContDiffWithinAt.prod := ContDiffWithinAt.prodMk
/-- The cartesian product of `C^n` functions on domains is `C^n`. -/
theorem ContDiffOn.prodMk {s : Set E} {f : E → F} {g : E → G} (hf : ContDiffOn 𝕜 n f s)
(hg : ContDiffOn 𝕜 n g s) : ContDiffOn 𝕜 n (fun x : E => (f x, g x)) s := fun x hx =>
(hf x hx).prodMk (hg x hx)
@[deprecated (since := "2025-03-09")]
alias ContDiffOn.prod := ContDiffOn.prodMk
/-- The cartesian product of `C^n` functions at a point is `C^n`. -/
theorem ContDiffAt.prodMk {f : E → F} {g : E → G} (hf : ContDiffAt 𝕜 n f x)
(hg : ContDiffAt 𝕜 n g x) : ContDiffAt 𝕜 n (fun x : E => (f x, g x)) x :=
contDiffWithinAt_univ.1 <| hf.contDiffWithinAt.prodMk hg.contDiffWithinAt
@[deprecated (since := "2025-03-09")]
alias ContDiffAt.prod := ContDiffAt.prodMk
/-- The cartesian product of `C^n` functions is `C^n`. -/
theorem ContDiff.prodMk {f : E → F} {g : E → G} (hf : ContDiff 𝕜 n f) (hg : ContDiff 𝕜 n g) :
ContDiff 𝕜 n fun x : E => (f x, g x) :=
contDiffOn_univ.1 <| hf.contDiffOn.prodMk hg.contDiffOn
@[deprecated (since := "2025-03-09")]
alias ContDiff.prod := ContDiff.prodMk
end prod
section comp
/-!
### Composition of `C^n` functions
We show that the composition of `C^n` functions is `C^n`. One way to do this would be to
use the following simple inductive proof. Assume it is done for `n`.
Then, to check it for `n+1`, one needs to check that the derivative of `g ∘ f` is `C^n`, i.e.,
that `Dg(f x) ⬝ Df(x)` is `C^n`. The term `Dg (f x)` is the composition of two `C^n` functions, so
it is `C^n` by the inductive assumption. The term `Df(x)` is also `C^n`. Then, the matrix
multiplication is the application of a bilinear map (which is `C^∞`, and therefore `C^n`) to
`x ↦ (Dg(f x), Df x)`. As the composition of two `C^n` maps, it is again `C^n`, and we are done.
There are two difficulties in this proof.
The first one is that it is an induction over all Banach
spaces. In Lean, this is only possible if they belong to a fixed universe. One could formalize this
by first proving the statement in this case, and then extending the result to general universes
by embedding all the spaces we consider in a common universe through `ULift`.
The second one is that it does not work cleanly for analytic maps: for this case, we need to
exhibit a whole sequence of derivatives which are all analytic, not just finitely many of them, so
an induction is never enough at a finite step.
Both these difficulties can be overcome with some cost. However, we choose a different path: we
write down an explicit formula for the `n`-th derivative of `g ∘ f` in terms of derivatives of
`g` and `f` (this is the formula of Faa-Di Bruno) and use this formula to get a suitable Taylor
expansion for `g ∘ f`. Writing down the formula of Faa-Di Bruno is not easy as the formula is quite
intricate, but it is also useful for other purposes and once available it makes the proof here
essentially trivial.
-/
/-- The composition of `C^n` functions at points in domains is `C^n`. -/
theorem ContDiffWithinAt.comp {s : Set E} {t : Set F} {g : F → G} {f : E → F} (x : E)
(hg : ContDiffWithinAt 𝕜 n g t (f x)) (hf : ContDiffWithinAt 𝕜 n f s x) (st : MapsTo f s t) :
ContDiffWithinAt 𝕜 n (g ∘ f) s x := by
match n with
| ω =>
have h'f : ContDiffWithinAt 𝕜 ω f s x := hf
obtain ⟨u, hu, p, hp, h'p⟩ := h'f
obtain ⟨v, hv, q, hq, h'q⟩ := hg
let w := insert x s ∩ (u ∩ f ⁻¹' v)
have wv : w ⊆ f ⁻¹' v := fun y hy => hy.2.2
have wu : w ⊆ u := fun y hy => hy.2.1
refine ⟨w, ?_, fun y ↦ (q (f y)).taylorComp (p y), hq.comp (hp.mono wu) wv, ?_⟩
· apply inter_mem self_mem_nhdsWithin (inter_mem hu ?_)
apply (continuousWithinAt_insert_self.2 hf.continuousWithinAt).preimage_mem_nhdsWithin'
apply nhdsWithin_mono _ _ hv
simp only [image_insert_eq]
apply insert_subset_insert
exact image_subset_iff.mpr st
· have : AnalyticOn 𝕜 f w := by
have : AnalyticOn 𝕜 (fun y ↦ (continuousMultilinearCurryFin0 𝕜 E F).symm (f y)) w :=
((h'p 0).mono wu).congr fun y hy ↦ (hp.zero_eq' (wu hy)).symm
have : AnalyticOn 𝕜 (fun y ↦ (continuousMultilinearCurryFin0 𝕜 E F)
((continuousMultilinearCurryFin0 𝕜 E F).symm (f y))) w :=
AnalyticOnNhd.comp_analyticOn (LinearIsometryEquiv.analyticOnNhd _ _ ) this
(mapsTo_univ _ _)
simpa using this
exact analyticOn_taylorComp h'q (fun n ↦ (h'p n).mono wu) this wv
| (n : ℕ∞) =>
intro m hm
rcases hf m hm with ⟨u, hu, p, hp⟩
rcases hg m hm with ⟨v, hv, q, hq⟩
let w := insert x s ∩ (u ∩ f ⁻¹' v)
have wv : w ⊆ f ⁻¹' v := fun y hy => hy.2.2
have wu : w ⊆ u := fun y hy => hy.2.1
refine ⟨w, ?_, fun y ↦ (q (f y)).taylorComp (p y), hq.comp (hp.mono wu) wv⟩
apply inter_mem self_mem_nhdsWithin (inter_mem hu ?_)
apply (continuousWithinAt_insert_self.2 hf.continuousWithinAt).preimage_mem_nhdsWithin'
apply nhdsWithin_mono _ _ hv
simp only [image_insert_eq]
apply insert_subset_insert
exact image_subset_iff.mpr st
/-- The composition of `C^n` functions on domains is `C^n`. -/
theorem ContDiffOn.comp {s : Set E} {t : Set F} {g : F → G} {f : E → F} (hg : ContDiffOn 𝕜 n g t)
(hf : ContDiffOn 𝕜 n f s) (st : MapsTo f s t) : ContDiffOn 𝕜 n (g ∘ f) s :=
fun x hx ↦ ContDiffWithinAt.comp x (hg (f x) (st hx)) (hf x hx) st
/-- The composition of `C^n` functions on domains is `C^n`. -/
theorem ContDiffOn.comp_inter
{s : Set E} {t : Set F} {g : F → G} {f : E → F} (hg : ContDiffOn 𝕜 n g t)
(hf : ContDiffOn 𝕜 n f s) : ContDiffOn 𝕜 n (g ∘ f) (s ∩ f ⁻¹' t) :=
hg.comp (hf.mono inter_subset_left) inter_subset_right
@[deprecated (since := "2024-10-30")] alias ContDiffOn.comp' := ContDiffOn.comp_inter
/-- The composition of a `C^n` function on a domain with a `C^n` function is `C^n`. -/
theorem ContDiff.comp_contDiffOn {s : Set E} {g : F → G} {f : E → F} (hg : ContDiff 𝕜 n g)
(hf : ContDiffOn 𝕜 n f s) : ContDiffOn 𝕜 n (g ∘ f) s :=
(contDiffOn_univ.2 hg).comp hf (mapsTo_univ _ _)
theorem ContDiffOn.comp_contDiff {s : Set F} {g : F → G} {f : E → F} (hg : ContDiffOn 𝕜 n g s)
(hf : ContDiff 𝕜 n f) (hs : ∀ x, f x ∈ s) : ContDiff 𝕜 n (g ∘ f) := by
rw [← contDiffOn_univ] at *
exact hg.comp hf fun x _ => hs x
theorem ContDiffOn.image_comp_contDiff {s : Set E} {g : F → G} {f : E → F}
(hg : ContDiffOn 𝕜 n g (f '' s)) (hf : ContDiff 𝕜 n f) : ContDiffOn 𝕜 n (g ∘ f) s :=
hg.comp hf.contDiffOn (s.mapsTo_image f)
/-- The composition of `C^n` functions is `C^n`. -/
theorem ContDiff.comp {g : F → G} {f : E → F} (hg : ContDiff 𝕜 n g) (hf : ContDiff 𝕜 n f) :
ContDiff 𝕜 n (g ∘ f) :=
contDiffOn_univ.1 <| ContDiffOn.comp (contDiffOn_univ.2 hg) (contDiffOn_univ.2 hf) (subset_univ _)
/-- The composition of `C^n` functions at points in domains is `C^n`. -/
theorem ContDiffWithinAt.comp_of_eq {s : Set E} {t : Set F} {g : F → G} {f : E → F} {y : F} (x : E)
(hg : ContDiffWithinAt 𝕜 n g t y) (hf : ContDiffWithinAt 𝕜 n f s x) (st : MapsTo f s t)
(hy : f x = y) :
ContDiffWithinAt 𝕜 n (g ∘ f) s x := by
subst hy; exact hg.comp x hf st
/-- The composition of `C^n` functions at points in domains is `C^n`,
with a weaker condition on `s` and `t`. -/
theorem ContDiffWithinAt.comp_of_mem_nhdsWithin_image
{s : Set E} {t : Set F} {g : F → G} {f : E → F} (x : E)
(hg : ContDiffWithinAt 𝕜 n g t (f x)) (hf : ContDiffWithinAt 𝕜 n f s x)
(hs : t ∈ 𝓝[f '' s] f x) : ContDiffWithinAt 𝕜 n (g ∘ f) s x :=
(hg.mono_of_mem_nhdsWithin hs).comp x hf (subset_preimage_image f s)
/-- The composition of `C^n` functions at points in domains is `C^n`,
with a weaker condition on `s` and `t`. -/
theorem ContDiffWithinAt.comp_of_mem_nhdsWithin_image_of_eq
{s : Set E} {t : Set F} {g : F → G} {f : E → F} {y : F} (x : E)
(hg : ContDiffWithinAt 𝕜 n g t y) (hf : ContDiffWithinAt 𝕜 n f s x)
(hs : t ∈ 𝓝[f '' s] f x) (hy : f x = y) : ContDiffWithinAt 𝕜 n (g ∘ f) s x := by
subst hy; exact hg.comp_of_mem_nhdsWithin_image x hf hs
/-- The composition of `C^n` functions at points in domains is `C^n`. -/
theorem ContDiffWithinAt.comp_inter {s : Set E} {t : Set F} {g : F → G} {f : E → F} (x : E)
(hg : ContDiffWithinAt 𝕜 n g t (f x)) (hf : ContDiffWithinAt 𝕜 n f s x) :
ContDiffWithinAt 𝕜 n (g ∘ f) (s ∩ f ⁻¹' t) x :=
hg.comp x (hf.mono inter_subset_left) inter_subset_right
/-- The composition of `C^n` functions at points in domains is `C^n`. -/
theorem ContDiffWithinAt.comp_inter_of_eq {s : Set E} {t : Set F} {g : F → G} {f : E → F} {y : F}
(x : E) (hg : ContDiffWithinAt 𝕜 n g t y) (hf : ContDiffWithinAt 𝕜 n f s x) (hy : f x = y) :
ContDiffWithinAt 𝕜 n (g ∘ f) (s ∩ f ⁻¹' t) x := by
subst hy; exact hg.comp_inter x hf
/-- The composition of `C^n` functions at points in domains is `C^n`,
with a weaker condition on `s` and `t`. -/
theorem ContDiffWithinAt.comp_of_preimage_mem_nhdsWithin
{s : Set E} {t : Set F} {g : F → G} {f : E → F} (x : E)
(hg : ContDiffWithinAt 𝕜 n g t (f x)) (hf : ContDiffWithinAt 𝕜 n f s x)
(hs : f ⁻¹' t ∈ 𝓝[s] x) : ContDiffWithinAt 𝕜 n (g ∘ f) s x :=
(hg.comp_inter x hf).mono_of_mem_nhdsWithin (inter_mem self_mem_nhdsWithin hs)
/-- The composition of `C^n` functions at points in domains is `C^n`,
with a weaker condition on `s` and `t`. -/
theorem ContDiffWithinAt.comp_of_preimage_mem_nhdsWithin_of_eq
{s : Set E} {t : Set F} {g : F → G} {f : E → F} {y : F} (x : E)
(hg : ContDiffWithinAt 𝕜 n g t y) (hf : ContDiffWithinAt 𝕜 n f s x)
(hs : f ⁻¹' t ∈ 𝓝[s] x) (hy : f x = y) : ContDiffWithinAt 𝕜 n (g ∘ f) s x := by
subst hy; exact hg.comp_of_preimage_mem_nhdsWithin x hf hs
theorem ContDiffAt.comp_contDiffWithinAt (x : E) (hg : ContDiffAt 𝕜 n g (f x))
(hf : ContDiffWithinAt 𝕜 n f s x) : ContDiffWithinAt 𝕜 n (g ∘ f) s x :=
hg.comp x hf (mapsTo_univ _ _)
theorem ContDiffAt.comp_contDiffWithinAt_of_eq {y : F} (x : E) (hg : ContDiffAt 𝕜 n g y)
(hf : ContDiffWithinAt 𝕜 n f s x) (hy : f x = y) : ContDiffWithinAt 𝕜 n (g ∘ f) s x := by
subst hy; exact hg.comp_contDiffWithinAt x hf
/-- The composition of `C^n` functions at points is `C^n`. -/
nonrec theorem ContDiffAt.comp (x : E) (hg : ContDiffAt 𝕜 n g (f x)) (hf : ContDiffAt 𝕜 n f x) :
ContDiffAt 𝕜 n (g ∘ f) x :=
hg.comp x hf (mapsTo_univ _ _)
theorem ContDiff.comp_contDiffWithinAt {g : F → G} {f : E → F} (h : ContDiff 𝕜 n g)
(hf : ContDiffWithinAt 𝕜 n f t x) : ContDiffWithinAt 𝕜 n (g ∘ f) t x :=
haveI : ContDiffWithinAt 𝕜 n g univ (f x) := h.contDiffAt.contDiffWithinAt
this.comp x hf (subset_univ _)
theorem ContDiff.comp_contDiffAt {g : F → G} {f : E → F} (x : E) (hg : ContDiff 𝕜 n g)
(hf : ContDiffAt 𝕜 n f x) : ContDiffAt 𝕜 n (g ∘ f) x :=
hg.comp_contDiffWithinAt hf
theorem iteratedFDerivWithin_comp_of_eventually_mem {t : Set F}
(hg : ContDiffWithinAt 𝕜 n g t (f x)) (hf : ContDiffWithinAt 𝕜 n f s x)
(ht : UniqueDiffOn 𝕜 t) (hs : UniqueDiffOn 𝕜 s) (hxs : x ∈ s) (hst : ∀ᶠ y in 𝓝[s] x, f y ∈ t)
{i : ℕ} (hi : i ≤ n) :
iteratedFDerivWithin 𝕜 i (g ∘ f) s x =
(ftaylorSeriesWithin 𝕜 g t (f x)).taylorComp (ftaylorSeriesWithin 𝕜 f s x) i := by
obtain ⟨u, hxu, huo, hfu, hgu⟩ : ∃ u, x ∈ u ∧ IsOpen u ∧
HasFTaylorSeriesUpToOn i f (ftaylorSeriesWithin 𝕜 f s) (s ∩ u) ∧
HasFTaylorSeriesUpToOn i g (ftaylorSeriesWithin 𝕜 g t) (f '' (s ∩ u)) := by
have hxt : f x ∈ t := hst.self_of_nhdsWithin hxs
have hf_tendsto : Tendsto f (𝓝[s] x) (𝓝[t] (f x)) :=
tendsto_nhdsWithin_iff.mpr ⟨hf.continuousWithinAt, hst⟩
have H₁ : ∀ᶠ u in (𝓝[s] x).smallSets,
HasFTaylorSeriesUpToOn i f (ftaylorSeriesWithin 𝕜 f s) u :=
hf.eventually_hasFTaylorSeriesUpToOn hs hxs hi
have H₂ : ∀ᶠ u in (𝓝[s] x).smallSets,
HasFTaylorSeriesUpToOn i g (ftaylorSeriesWithin 𝕜 g t) (f '' u) :=
hf_tendsto.image_smallSets.eventually (hg.eventually_hasFTaylorSeriesUpToOn ht hxt hi)
rcases (nhdsWithin_basis_open _ _).smallSets.eventually_iff.mp (H₁.and H₂)
with ⟨u, ⟨hxu, huo⟩, hu⟩
exact ⟨u, hxu, huo, hu (by simp [inter_comm])⟩
exact .symm <| (hgu.comp hfu (mapsTo_image _ _)).eq_iteratedFDerivWithin_of_uniqueDiffOn le_rfl
(hs.inter huo) ⟨hxs, hxu⟩ |>.trans <| iteratedFDerivWithin_inter_open huo hxu
theorem iteratedFDerivWithin_comp {t : Set F} (hg : ContDiffWithinAt 𝕜 n g t (f x))
(hf : ContDiffWithinAt 𝕜 n f s x) (ht : UniqueDiffOn 𝕜 t) (hs : UniqueDiffOn 𝕜 s)
(hx : x ∈ s) (hst : MapsTo f s t) {i : ℕ} (hi : i ≤ n) :
iteratedFDerivWithin 𝕜 i (g ∘ f) s x =
(ftaylorSeriesWithin 𝕜 g t (f x)).taylorComp (ftaylorSeriesWithin 𝕜 f s x) i :=
iteratedFDerivWithin_comp_of_eventually_mem hg hf ht hs hx (eventually_mem_nhdsWithin.mono hst) hi
theorem iteratedFDeriv_comp (hg : ContDiffAt 𝕜 n g (f x)) (hf : ContDiffAt 𝕜 n f x)
{i : ℕ} (hi : i ≤ n) :
iteratedFDeriv 𝕜 i (g ∘ f) x =
(ftaylorSeries 𝕜 g (f x)).taylorComp (ftaylorSeries 𝕜 f x) i := by
simp only [← iteratedFDerivWithin_univ, ← ftaylorSeriesWithin_univ]
exact iteratedFDerivWithin_comp hg.contDiffWithinAt hf.contDiffWithinAt
uniqueDiffOn_univ uniqueDiffOn_univ (mem_univ _) (mapsTo_univ _ _) hi
end comp
/-!
### Smoothness of projections
-/
/-- The first projection in a product is `C^∞`. -/
theorem contDiff_fst : ContDiff 𝕜 n (Prod.fst : E × F → E) :=
IsBoundedLinearMap.contDiff IsBoundedLinearMap.fst
/-- Postcomposing `f` with `Prod.fst` is `C^n` -/
theorem ContDiff.fst {f : E → F × G} (hf : ContDiff 𝕜 n f) : ContDiff 𝕜 n fun x => (f x).1 :=
contDiff_fst.comp hf
/-- Precomposing `f` with `Prod.fst` is `C^n` -/
theorem ContDiff.fst' {f : E → G} (hf : ContDiff 𝕜 n f) : ContDiff 𝕜 n fun x : E × F => f x.1 :=
hf.comp contDiff_fst
/-- The first projection on a domain in a product is `C^∞`. -/
theorem contDiffOn_fst {s : Set (E × F)} : ContDiffOn 𝕜 n (Prod.fst : E × F → E) s :=
ContDiff.contDiffOn contDiff_fst
theorem ContDiffOn.fst {f : E → F × G} {s : Set E} (hf : ContDiffOn 𝕜 n f s) :
ContDiffOn 𝕜 n (fun x => (f x).1) s :=
contDiff_fst.comp_contDiffOn hf
/-- The first projection at a point in a product is `C^∞`. -/
theorem contDiffAt_fst {p : E × F} : ContDiffAt 𝕜 n (Prod.fst : E × F → E) p :=
contDiff_fst.contDiffAt
/-- Postcomposing `f` with `Prod.fst` is `C^n` at `(x, y)` -/
theorem ContDiffAt.fst {f : E → F × G} {x : E} (hf : ContDiffAt 𝕜 n f x) :
ContDiffAt 𝕜 n (fun x => (f x).1) x :=
contDiffAt_fst.comp x hf
/-- Precomposing `f` with `Prod.fst` is `C^n` at `(x, y)` -/
theorem ContDiffAt.fst' {f : E → G} {x : E} {y : F} (hf : ContDiffAt 𝕜 n f x) :
ContDiffAt 𝕜 n (fun x : E × F => f x.1) (x, y) :=
ContDiffAt.comp (x, y) hf contDiffAt_fst
/-- Precomposing `f` with `Prod.fst` is `C^n` at `x : E × F` -/
theorem ContDiffAt.fst'' {f : E → G} {x : E × F} (hf : ContDiffAt 𝕜 n f x.1) :
ContDiffAt 𝕜 n (fun x : E × F => f x.1) x :=
hf.comp x contDiffAt_fst
/-- The first projection within a domain at a point in a product is `C^∞`. -/
theorem contDiffWithinAt_fst {s : Set (E × F)} {p : E × F} :
ContDiffWithinAt 𝕜 n (Prod.fst : E × F → E) s p :=
contDiff_fst.contDiffWithinAt
/-- The second projection in a product is `C^∞`. -/
theorem contDiff_snd : ContDiff 𝕜 n (Prod.snd : E × F → F) :=
IsBoundedLinearMap.contDiff IsBoundedLinearMap.snd
/-- Postcomposing `f` with `Prod.snd` is `C^n` -/
theorem ContDiff.snd {f : E → F × G} (hf : ContDiff 𝕜 n f) : ContDiff 𝕜 n fun x => (f x).2 :=
contDiff_snd.comp hf
/-- Precomposing `f` with `Prod.snd` is `C^n` -/
theorem ContDiff.snd' {f : F → G} (hf : ContDiff 𝕜 n f) : ContDiff 𝕜 n fun x : E × F => f x.2 :=
hf.comp contDiff_snd
/-- The second projection on a domain in a product is `C^∞`. -/
theorem contDiffOn_snd {s : Set (E × F)} : ContDiffOn 𝕜 n (Prod.snd : E × F → F) s :=
ContDiff.contDiffOn contDiff_snd
theorem ContDiffOn.snd {f : E → F × G} {s : Set E} (hf : ContDiffOn 𝕜 n f s) :
ContDiffOn 𝕜 n (fun x => (f x).2) s :=
contDiff_snd.comp_contDiffOn hf
/-- The second projection at a point in a product is `C^∞`. -/
theorem contDiffAt_snd {p : E × F} : ContDiffAt 𝕜 n (Prod.snd : E × F → F) p :=
contDiff_snd.contDiffAt
/-- Postcomposing `f` with `Prod.snd` is `C^n` at `x` -/
theorem ContDiffAt.snd {f : E → F × G} {x : E} (hf : ContDiffAt 𝕜 n f x) :
ContDiffAt 𝕜 n (fun x => (f x).2) x :=
contDiffAt_snd.comp x hf
/-- Precomposing `f` with `Prod.snd` is `C^n` at `(x, y)` -/
theorem ContDiffAt.snd' {f : F → G} {x : E} {y : F} (hf : ContDiffAt 𝕜 n f y) :
ContDiffAt 𝕜 n (fun x : E × F => f x.2) (x, y) :=
ContDiffAt.comp (x, y) hf contDiffAt_snd
/-- Precomposing `f` with `Prod.snd` is `C^n` at `x : E × F` -/
theorem ContDiffAt.snd'' {f : F → G} {x : E × F} (hf : ContDiffAt 𝕜 n f x.2) :
ContDiffAt 𝕜 n (fun x : E × F => f x.2) x :=
hf.comp x contDiffAt_snd
/-- The second projection within a domain at a point in a product is `C^∞`. -/
theorem contDiffWithinAt_snd {s : Set (E × F)} {p : E × F} :
ContDiffWithinAt 𝕜 n (Prod.snd : E × F → F) s p :=
contDiff_snd.contDiffWithinAt
section NAry
variable {E₁ E₂ E₃ : Type*}
variable [NormedAddCommGroup E₁] [NormedAddCommGroup E₂] [NormedAddCommGroup E₃]
[NormedSpace 𝕜 E₁] [NormedSpace 𝕜 E₂] [NormedSpace 𝕜 E₃]
theorem ContDiff.comp₂ {g : E₁ × E₂ → G} {f₁ : F → E₁} {f₂ : F → E₂} (hg : ContDiff 𝕜 n g)
(hf₁ : ContDiff 𝕜 n f₁) (hf₂ : ContDiff 𝕜 n f₂) : ContDiff 𝕜 n fun x => g (f₁ x, f₂ x) :=
hg.comp <| hf₁.prodMk hf₂
theorem ContDiffAt.comp₂ {g : E₁ × E₂ → G} {f₁ : F → E₁} {f₂ : F → E₂} {x : F}
(hg : ContDiffAt 𝕜 n g (f₁ x, f₂ x))
(hf₁ : ContDiffAt 𝕜 n f₁ x) (hf₂ : ContDiffAt 𝕜 n f₂ x) :
ContDiffAt 𝕜 n (fun x => g (f₁ x, f₂ x)) x :=
hg.comp x (hf₁.prodMk hf₂)
theorem ContDiffAt.comp₂_contDiffWithinAt {g : E₁ × E₂ → G} {f₁ : F → E₁} {f₂ : F → E₂}
{s : Set F} {x : F} (hg : ContDiffAt 𝕜 n g (f₁ x, f₂ x))
(hf₁ : ContDiffWithinAt 𝕜 n f₁ s x) (hf₂ : ContDiffWithinAt 𝕜 n f₂ s x) :
ContDiffWithinAt 𝕜 n (fun x => g (f₁ x, f₂ x)) s x :=
hg.comp_contDiffWithinAt x (hf₁.prodMk hf₂)
@[deprecated (since := "2024-10-30")]
alias ContDiffAt.comp_contDiffWithinAt₂ := ContDiffAt.comp₂_contDiffWithinAt
theorem ContDiff.comp₂_contDiffAt {g : E₁ × E₂ → G} {f₁ : F → E₁} {f₂ : F → E₂} {x : F}
(hg : ContDiff 𝕜 n g) (hf₁ : ContDiffAt 𝕜 n f₁ x) (hf₂ : ContDiffAt 𝕜 n f₂ x) :
ContDiffAt 𝕜 n (fun x => g (f₁ x, f₂ x)) x :=
hg.contDiffAt.comp₂ hf₁ hf₂
@[deprecated (since := "2024-10-30")]
alias ContDiff.comp_contDiffAt₂ := ContDiff.comp₂_contDiffAt
theorem ContDiff.comp₂_contDiffWithinAt {g : E₁ × E₂ → G} {f₁ : F → E₁} {f₂ : F → E₂}
{s : Set F} {x : F} (hg : ContDiff 𝕜 n g)
(hf₁ : ContDiffWithinAt 𝕜 n f₁ s x) (hf₂ : ContDiffWithinAt 𝕜 n f₂ s x) :
ContDiffWithinAt 𝕜 n (fun x => g (f₁ x, f₂ x)) s x :=
hg.contDiffAt.comp_contDiffWithinAt x (hf₁.prodMk hf₂)
@[deprecated (since := "2024-10-30")]
alias ContDiff.comp_contDiffWithinAt₂ := ContDiff.comp₂_contDiffWithinAt
theorem ContDiff.comp₂_contDiffOn {g : E₁ × E₂ → G} {f₁ : F → E₁} {f₂ : F → E₂} {s : Set F}
(hg : ContDiff 𝕜 n g) (hf₁ : ContDiffOn 𝕜 n f₁ s) (hf₂ : ContDiffOn 𝕜 n f₂ s) :
ContDiffOn 𝕜 n (fun x => g (f₁ x, f₂ x)) s :=
hg.comp_contDiffOn <| hf₁.prodMk hf₂
@[deprecated (since := "2024-10-30")]
alias ContDiff.comp_contDiffOn₂ := ContDiff.comp₂_contDiffOn
theorem ContDiff.comp₃ {g : E₁ × E₂ × E₃ → G} {f₁ : F → E₁} {f₂ : F → E₂} {f₃ : F → E₃}
(hg : ContDiff 𝕜 n g) (hf₁ : ContDiff 𝕜 n f₁) (hf₂ : ContDiff 𝕜 n f₂) (hf₃ : ContDiff 𝕜 n f₃) :
ContDiff 𝕜 n fun x => g (f₁ x, f₂ x, f₃ x) :=
hg.comp₂ hf₁ <| hf₂.prodMk hf₃
theorem ContDiff.comp₃_contDiffOn {g : E₁ × E₂ × E₃ → G} {f₁ : F → E₁} {f₂ : F → E₂} {f₃ : F → E₃}
{s : Set F} (hg : ContDiff 𝕜 n g) (hf₁ : ContDiffOn 𝕜 n f₁ s) (hf₂ : ContDiffOn 𝕜 n f₂ s)
(hf₃ : ContDiffOn 𝕜 n f₃ s) : ContDiffOn 𝕜 n (fun x => g (f₁ x, f₂ x, f₃ x)) s :=
hg.comp₂_contDiffOn hf₁ <| hf₂.prodMk hf₃
@[deprecated (since := "2024-10-30")]
alias ContDiff.comp_contDiffOn₃ := ContDiff.comp₃_contDiffOn
end NAry
section SpecificBilinearMaps
theorem ContDiff.clm_comp {g : X → F →L[𝕜] G} {f : X → E →L[𝕜] F} (hg : ContDiff 𝕜 n g)
(hf : ContDiff 𝕜 n f) : ContDiff 𝕜 n fun x => (g x).comp (f x) :=
isBoundedBilinearMap_comp.contDiff.comp₂ (g := fun p => p.1.comp p.2) hg hf
theorem ContDiffOn.clm_comp {g : X → F →L[𝕜] G} {f : X → E →L[𝕜] F} {s : Set X}
(hg : ContDiffOn 𝕜 n g s) (hf : ContDiffOn 𝕜 n f s) :
ContDiffOn 𝕜 n (fun x => (g x).comp (f x)) s :=
(isBoundedBilinearMap_comp (E := E) (F := F) (G := G)).contDiff.comp₂_contDiffOn hg hf
theorem ContDiffAt.clm_comp {g : X → F →L[𝕜] G} {f : X → E →L[𝕜] F} {x : X}
(hg : ContDiffAt 𝕜 n g x) (hf : ContDiffAt 𝕜 n f x) :
ContDiffAt 𝕜 n (fun x => (g x).comp (f x)) x :=
(isBoundedBilinearMap_comp (E := E) (G := G)).contDiff.comp₂_contDiffAt hg hf
theorem ContDiffWithinAt.clm_comp {g : X → F →L[𝕜] G} {f : X → E →L[𝕜] F} {s : Set X} {x : X}
(hg : ContDiffWithinAt 𝕜 n g s x) (hf : ContDiffWithinAt 𝕜 n f s x) :
ContDiffWithinAt 𝕜 n (fun x => (g x).comp (f x)) s x :=
(isBoundedBilinearMap_comp (E := E) (G := G)).contDiff.comp₂_contDiffWithinAt hg hf
theorem ContDiff.clm_apply {f : E → F →L[𝕜] G} {g : E → F} (hf : ContDiff 𝕜 n f)
(hg : ContDiff 𝕜 n g) : ContDiff 𝕜 n fun x => (f x) (g x) :=
isBoundedBilinearMap_apply.contDiff.comp₂ hf hg
theorem ContDiffOn.clm_apply {f : E → F →L[𝕜] G} {g : E → F} (hf : ContDiffOn 𝕜 n f s)
(hg : ContDiffOn 𝕜 n g s) : ContDiffOn 𝕜 n (fun x => (f x) (g x)) s :=
isBoundedBilinearMap_apply.contDiff.comp₂_contDiffOn hf hg
theorem ContDiffAt.clm_apply {f : E → F →L[𝕜] G} {g : E → F} (hf : ContDiffAt 𝕜 n f x)
(hg : ContDiffAt 𝕜 n g x) : ContDiffAt 𝕜 n (fun x => (f x) (g x)) x :=
isBoundedBilinearMap_apply.contDiff.comp₂_contDiffAt hf hg
theorem ContDiffWithinAt.clm_apply {f : E → F →L[𝕜] G} {g : E → F}
(hf : ContDiffWithinAt 𝕜 n f s x) (hg : ContDiffWithinAt 𝕜 n g s x) :
ContDiffWithinAt 𝕜 n (fun x => (f x) (g x)) s x :=
isBoundedBilinearMap_apply.contDiff.comp₂_contDiffWithinAt hf hg
theorem ContDiff.smulRight {f : E → F →L[𝕜] 𝕜} {g : E → G} (hf : ContDiff 𝕜 n f)
(hg : ContDiff 𝕜 n g) : ContDiff 𝕜 n fun x => (f x).smulRight (g x) :=
isBoundedBilinearMap_smulRight.contDiff.comp₂ (g := fun p => p.1.smulRight p.2) hf hg
theorem ContDiffOn.smulRight {f : E → F →L[𝕜] 𝕜} {g : E → G} (hf : ContDiffOn 𝕜 n f s)
(hg : ContDiffOn 𝕜 n g s) : ContDiffOn 𝕜 n (fun x => (f x).smulRight (g x)) s :=
(isBoundedBilinearMap_smulRight (E := F)).contDiff.comp₂_contDiffOn hf hg
theorem ContDiffAt.smulRight {f : E → F →L[𝕜] 𝕜} {g : E → G} (hf : ContDiffAt 𝕜 n f x)
(hg : ContDiffAt 𝕜 n g x) : ContDiffAt 𝕜 n (fun x => (f x).smulRight (g x)) x :=
(isBoundedBilinearMap_smulRight (E := F)).contDiff.comp₂_contDiffAt hf hg
theorem ContDiffWithinAt.smulRight {f : E → F →L[𝕜] 𝕜} {g : E → G}
(hf : ContDiffWithinAt 𝕜 n f s x) (hg : ContDiffWithinAt 𝕜 n g s x) :
ContDiffWithinAt 𝕜 n (fun x => (f x).smulRight (g x)) s x :=
(isBoundedBilinearMap_smulRight (E := F)).contDiff.comp₂_contDiffWithinAt hf hg
end SpecificBilinearMaps
section ClmApplyConst
/-- Application of a `ContinuousLinearMap` to a constant commutes with `iteratedFDerivWithin`. -/
theorem iteratedFDerivWithin_clm_apply_const_apply
{s : Set E} (hs : UniqueDiffOn 𝕜 s) {c : E → F →L[𝕜] G}
(hc : ContDiffOn 𝕜 n c s) {i : ℕ} (hi : i ≤ n) {x : E} (hx : x ∈ s) {u : F} {m : Fin i → E} :
(iteratedFDerivWithin 𝕜 i (fun y ↦ (c y) u) s x) m = (iteratedFDerivWithin 𝕜 i c s x) m u := by
induction i generalizing x with
| zero => simp
| succ i ih =>
replace hi : (i : WithTop ℕ∞) < n := lt_of_lt_of_le (by norm_cast; simp) hi
have h_deriv_apply : DifferentiableOn 𝕜 (iteratedFDerivWithin 𝕜 i (fun y ↦ (c y) u) s) s :=
(hc.clm_apply contDiffOn_const).differentiableOn_iteratedFDerivWithin hi hs
have h_deriv : DifferentiableOn 𝕜 (iteratedFDerivWithin 𝕜 i c s) s :=
hc.differentiableOn_iteratedFDerivWithin hi hs
simp only [iteratedFDerivWithin_succ_apply_left]
rw [← fderivWithin_continuousMultilinear_apply_const_apply (hs x hx) (h_deriv_apply x hx)]
rw [fderivWithin_congr' (fun x hx ↦ ih hi.le hx) hx]
rw [fderivWithin_clm_apply (hs x hx) (h_deriv.continuousMultilinear_apply_const _ x hx)
(differentiableWithinAt_const u)]
rw [fderivWithin_const_apply]
simp only [ContinuousLinearMap.flip_apply, ContinuousLinearMap.comp_zero, zero_add]
rw [fderivWithin_continuousMultilinear_apply_const_apply (hs x hx) (h_deriv x hx)]
/-- Application of a `ContinuousLinearMap` to a constant commutes with `iteratedFDeriv`. -/
theorem iteratedFDeriv_clm_apply_const_apply
{c : E → F →L[𝕜] G} (hc : ContDiff 𝕜 n c)
{i : ℕ} (hi : i ≤ n) {x : E} {u : F} {m : Fin i → E} :
(iteratedFDeriv 𝕜 i (fun y ↦ (c y) u) x) m = (iteratedFDeriv 𝕜 i c x) m u := by
simp only [← iteratedFDerivWithin_univ]
exact iteratedFDerivWithin_clm_apply_const_apply uniqueDiffOn_univ hc.contDiffOn hi (mem_univ _)
end ClmApplyConst
/-- The natural equivalence `(E × F) × G ≃ E × (F × G)` is smooth.
Warning: if you think you need this lemma, it is likely that you can simplify your proof by
reformulating the lemma that you're applying next using the tips in
Note [continuity lemma statement]
-/
theorem contDiff_prodAssoc {n : WithTop ℕ∞} : ContDiff 𝕜 n <| Equiv.prodAssoc E F G :=
(LinearIsometryEquiv.prodAssoc 𝕜 E F G).contDiff
/-- The natural equivalence `E × (F × G) ≃ (E × F) × G` is smooth.
Warning: see remarks attached to `contDiff_prodAssoc`
-/
theorem contDiff_prodAssoc_symm {n : WithTop ℕ∞} : ContDiff 𝕜 n <| (Equiv.prodAssoc E F G).symm :=
(LinearIsometryEquiv.prodAssoc 𝕜 E F G).symm.contDiff
/-! ### Bundled derivatives are smooth -/
section bundled
/-- One direction of `contDiffWithinAt_succ_iff_hasFDerivWithinAt`, but where all derivatives are
taken within the same set. Version for partial derivatives / functions with parameters. If `f x` is
a `C^n+1` family of functions and `g x` is a `C^n` family of points, then the derivative of `f x` at
`g x` depends in a `C^n` way on `x`. We give a general version of this fact relative to sets which
may not have unique derivatives, in the following form. If `f : E × F → G` is `C^n+1` at
`(x₀, g(x₀))` in `(s ∪ {x₀}) × t ⊆ E × F` and `g : E → F` is `C^n` at `x₀` within some set `s ⊆ E`,
then there is a function `f' : E → F →L[𝕜] G` that is `C^n` at `x₀` within `s` such that for all `x`
sufficiently close to `x₀` within `s ∪ {x₀}` the function `y ↦ f x y` has derivative `f' x` at `g x`
within `t ⊆ F`. For convenience, we return an explicit set of `x`'s where this holds that is a
subset of `s ∪ {x₀}`. We need one additional condition, namely that `t` is a neighborhood of
`g(x₀)` within `g '' s`. -/
theorem ContDiffWithinAt.hasFDerivWithinAt_nhds {f : E → F → G} {g : E → F} {t : Set F} (hn : n ≠ ∞)
{x₀ : E} (hf : ContDiffWithinAt 𝕜 (n + 1) (uncurry f) (insert x₀ s ×ˢ t) (x₀, g x₀))
(hg : ContDiffWithinAt 𝕜 n g s x₀) (hgt : t ∈ 𝓝[g '' s] g x₀) :
∃ v ∈ 𝓝[insert x₀ s] x₀, v ⊆ insert x₀ s ∧ ∃ f' : E → F →L[𝕜] G,
(∀ x ∈ v, HasFDerivWithinAt (f x) (f' x) t (g x)) ∧
ContDiffWithinAt 𝕜 n (fun x => f' x) s x₀ := by
have hst : insert x₀ s ×ˢ t ∈ 𝓝[(fun x => (x, g x)) '' s] (x₀, g x₀) := by
refine nhdsWithin_mono _ ?_ (nhdsWithin_prod self_mem_nhdsWithin hgt)
simp_rw [image_subset_iff, mk_preimage_prod, preimage_id', subset_inter_iff, subset_insert,
true_and, subset_preimage_image]
obtain ⟨v, hv, hvs, f_an, f', hvf', hf'⟩ :=
(contDiffWithinAt_succ_iff_hasFDerivWithinAt' hn).mp hf
refine
⟨(fun z => (z, g z)) ⁻¹' v ∩ insert x₀ s, ?_, inter_subset_right, fun z =>
(f' (z, g z)).comp (ContinuousLinearMap.inr 𝕜 E F), ?_, ?_⟩
· refine inter_mem ?_ self_mem_nhdsWithin
have := mem_of_mem_nhdsWithin (mem_insert _ _) hv
refine mem_nhdsWithin_insert.mpr ⟨this, ?_⟩
refine (continuousWithinAt_id.prodMk hg.continuousWithinAt).preimage_mem_nhdsWithin' ?_
rw [← nhdsWithin_le_iff] at hst hv ⊢
exact (hst.trans <| nhdsWithin_mono _ <| subset_insert _ _).trans hv
· intro z hz
have := hvf' (z, g z) hz.1
refine this.comp _ (hasFDerivAt_prodMk_right _ _).hasFDerivWithinAt ?_
exact mapsTo'.mpr (image_prodMk_subset_prod_right hz.2)
· exact (hf'.continuousLinearMap_comp <| (ContinuousLinearMap.compL 𝕜 F (E × F) G).flip
(ContinuousLinearMap.inr 𝕜 E F)).comp_of_mem_nhdsWithin_image x₀
(contDiffWithinAt_id.prodMk hg) hst
/-- The most general lemma stating that `x ↦ fderivWithin 𝕜 (f x) t (g x)` is `C^n`
at a point within a set.
To show that `x ↦ D_yf(x,y)g(x)` (taken within `t`) is `C^m` at `x₀` within `s`, we require that
* `f` is `C^n` at `(x₀, g(x₀))` within `(s ∪ {x₀}) × t` for `n ≥ m+1`.
* `g` is `C^m` at `x₀` within `s`;
* Derivatives are unique at `g(x)` within `t` for `x` sufficiently close to `x₀` within `s ∪ {x₀}`;
* `t` is a neighborhood of `g(x₀)` within `g '' s`; -/
theorem ContDiffWithinAt.fderivWithin'' {f : E → F → G} {g : E → F} {t : Set F}
(hf : ContDiffWithinAt 𝕜 n (Function.uncurry f) (insert x₀ s ×ˢ t) (x₀, g x₀))
(hg : ContDiffWithinAt 𝕜 m g s x₀)
(ht : ∀ᶠ x in 𝓝[insert x₀ s] x₀, UniqueDiffWithinAt 𝕜 t (g x)) (hmn : m + 1 ≤ n)
(hgt : t ∈ 𝓝[g '' s] g x₀) :
ContDiffWithinAt 𝕜 m (fun x => fderivWithin 𝕜 (f x) t (g x)) s x₀ := by
have : ∀ k : ℕ, k ≤ m → ContDiffWithinAt 𝕜 k (fun x => fderivWithin 𝕜 (f x) t (g x)) s x₀ := by
intro k hkm
obtain ⟨v, hv, -, f', hvf', hf'⟩ :=
(hf.of_le <| (add_le_add_right hkm 1).trans hmn).hasFDerivWithinAt_nhds (by simp)
(hg.of_le hkm) hgt
refine hf'.congr_of_eventuallyEq_insert ?_
filter_upwards [hv, ht]
exact fun y hy h2y => (hvf' y hy).fderivWithin h2y
match m with
| ω =>
obtain rfl : n = ω := by simpa using hmn
obtain ⟨v, hv, -, f', hvf', hf'⟩ := hf.hasFDerivWithinAt_nhds (by simp) hg hgt
refine hf'.congr_of_eventuallyEq_insert ?_
filter_upwards [hv, ht]
exact fun y hy h2y => (hvf' y hy).fderivWithin h2y
| ∞ =>
rw [contDiffWithinAt_infty]
exact fun k ↦ this k (by exact_mod_cast le_top)
| (m : ℕ) => exact this _ le_rfl
/-- A special case of `ContDiffWithinAt.fderivWithin''` where we require that `s ⊆ g⁻¹(t)`. -/
theorem ContDiffWithinAt.fderivWithin' {f : E → F → G} {g : E → F} {t : Set F}
(hf : ContDiffWithinAt 𝕜 n (Function.uncurry f) (insert x₀ s ×ˢ t) (x₀, g x₀))
(hg : ContDiffWithinAt 𝕜 m g s x₀)
(ht : ∀ᶠ x in 𝓝[insert x₀ s] x₀, UniqueDiffWithinAt 𝕜 t (g x)) (hmn : m + 1 ≤ n)
(hst : s ⊆ g ⁻¹' t) : ContDiffWithinAt 𝕜 m (fun x => fderivWithin 𝕜 (f x) t (g x)) s x₀ :=
hf.fderivWithin'' hg ht hmn <| mem_of_superset self_mem_nhdsWithin <| image_subset_iff.mpr hst
/-- A special case of `ContDiffWithinAt.fderivWithin'` where we require that `x₀ ∈ s` and there
are unique derivatives everywhere within `t`. -/
protected theorem ContDiffWithinAt.fderivWithin {f : E → F → G} {g : E → F} {t : Set F}
(hf : ContDiffWithinAt 𝕜 n (Function.uncurry f) (s ×ˢ t) (x₀, g x₀))
(hg : ContDiffWithinAt 𝕜 m g s x₀) (ht : UniqueDiffOn 𝕜 t) (hmn : m + 1 ≤ n) (hx₀ : x₀ ∈ s)
(hst : s ⊆ g ⁻¹' t) : ContDiffWithinAt 𝕜 m (fun x => fderivWithin 𝕜 (f x) t (g x)) s x₀ := by
rw [← insert_eq_self.mpr hx₀] at hf
refine hf.fderivWithin' hg ?_ hmn hst
rw [insert_eq_self.mpr hx₀]
exact eventually_of_mem self_mem_nhdsWithin fun x hx => ht _ (hst hx)
/-- `x ↦ fderivWithin 𝕜 (f x) t (g x) (k x)` is smooth at a point within a set. -/
theorem ContDiffWithinAt.fderivWithin_apply {f : E → F → G} {g k : E → F} {t : Set F}
(hf : ContDiffWithinAt 𝕜 n (Function.uncurry f) (s ×ˢ t) (x₀, g x₀))
(hg : ContDiffWithinAt 𝕜 m g s x₀) (hk : ContDiffWithinAt 𝕜 m k s x₀) (ht : UniqueDiffOn 𝕜 t)
(hmn : m + 1 ≤ n) (hx₀ : x₀ ∈ s) (hst : s ⊆ g ⁻¹' t) :
ContDiffWithinAt 𝕜 m (fun x => fderivWithin 𝕜 (f x) t (g x) (k x)) s x₀ :=
(contDiff_fst.clm_apply contDiff_snd).contDiffAt.comp_contDiffWithinAt x₀
((hf.fderivWithin hg ht hmn hx₀ hst).prodMk hk)
/-- `fderivWithin 𝕜 f s` is smooth at `x₀` within `s`. -/
theorem ContDiffWithinAt.fderivWithin_right (hf : ContDiffWithinAt 𝕜 n f s x₀)
(hs : UniqueDiffOn 𝕜 s) (hmn : m + 1 ≤ n) (hx₀s : x₀ ∈ s) :
ContDiffWithinAt 𝕜 m (fderivWithin 𝕜 f s) s x₀ :=
ContDiffWithinAt.fderivWithin
(ContDiffWithinAt.comp (x₀, x₀) hf contDiffWithinAt_snd <| prod_subset_preimage_snd s s)
contDiffWithinAt_id hs hmn hx₀s (by rw [preimage_id'])
/-- `x ↦ fderivWithin 𝕜 f s x (k x)` is smooth at `x₀` within `s`. -/
theorem ContDiffWithinAt.fderivWithin_right_apply
{f : F → G} {k : F → F} {s : Set F} {x₀ : F}
(hf : ContDiffWithinAt 𝕜 n f s x₀) (hk : ContDiffWithinAt 𝕜 m k s x₀)
(hs : UniqueDiffOn 𝕜 s) (hmn : m + 1 ≤ n) (hx₀s : x₀ ∈ s) :
ContDiffWithinAt 𝕜 m (fun x => fderivWithin 𝕜 f s x (k x)) s x₀ :=
ContDiffWithinAt.fderivWithin_apply
(ContDiffWithinAt.comp (x₀, x₀) hf contDiffWithinAt_snd <| prod_subset_preimage_snd s s)
contDiffWithinAt_id hk hs hmn hx₀s (by rw [preimage_id'])
-- TODO: can we make a version of `ContDiffWithinAt.fderivWithin` for iterated derivatives?
theorem ContDiffWithinAt.iteratedFDerivWithin_right {i : ℕ} (hf : ContDiffWithinAt 𝕜 n f s x₀)
(hs : UniqueDiffOn 𝕜 s) (hmn : m + i ≤ n) (hx₀s : x₀ ∈ s) :
ContDiffWithinAt 𝕜 m (iteratedFDerivWithin 𝕜 i f s) s x₀ := by
induction' i with i hi generalizing m
· simp only [CharP.cast_eq_zero, add_zero] at hmn
exact (hf.of_le hmn).continuousLinearMap_comp
((continuousMultilinearCurryFin0 𝕜 E F).symm : _ →L[𝕜] E [×0]→L[𝕜] F)
· rw [Nat.cast_succ, add_comm _ 1, ← add_assoc] at hmn
exact ((hi hmn).fderivWithin_right hs le_rfl hx₀s).continuousLinearMap_comp
((continuousMultilinearCurryLeftEquiv 𝕜 (fun _ : Fin (i+1) ↦ E) F).symm :
_ →L[𝕜] E [×(i+1)]→L[𝕜] F)
@[deprecated (since := "2025-01-15")]
alias ContDiffWithinAt.iteratedFderivWithin_right := ContDiffWithinAt.iteratedFDerivWithin_right
/-- `x ↦ fderiv 𝕜 (f x) (g x)` is smooth at `x₀`. -/
protected theorem ContDiffAt.fderiv {f : E → F → G} {g : E → F}
(hf : ContDiffAt 𝕜 n (Function.uncurry f) (x₀, g x₀)) (hg : ContDiffAt 𝕜 m g x₀)
(hmn : m + 1 ≤ n) : ContDiffAt 𝕜 m (fun x => fderiv 𝕜 (f x) (g x)) x₀ := by
simp_rw [← fderivWithin_univ]
refine (ContDiffWithinAt.fderivWithin hf.contDiffWithinAt hg.contDiffWithinAt uniqueDiffOn_univ
hmn (mem_univ x₀) ?_).contDiffAt univ_mem
rw [preimage_univ]
/-- `fderiv 𝕜 f` is smooth at `x₀`. -/
theorem ContDiffAt.fderiv_right (hf : ContDiffAt 𝕜 n f x₀) (hmn : m + 1 ≤ n) :
ContDiffAt 𝕜 m (fderiv 𝕜 f) x₀ :=
ContDiffAt.fderiv (ContDiffAt.comp (x₀, x₀) hf contDiffAt_snd) contDiffAt_id hmn
theorem ContDiffAt.iteratedFDeriv_right {i : ℕ} (hf : ContDiffAt 𝕜 n f x₀)
(hmn : m + i ≤ n) : ContDiffAt 𝕜 m (iteratedFDeriv 𝕜 i f) x₀ := by
rw [← iteratedFDerivWithin_univ, ← contDiffWithinAt_univ] at *
exact hf.iteratedFDerivWithin_right uniqueDiffOn_univ hmn trivial
/-- `x ↦ fderiv 𝕜 (f x) (g x)` is smooth. -/
protected theorem ContDiff.fderiv {f : E → F → G} {g : E → F}
(hf : ContDiff 𝕜 m <| Function.uncurry f) (hg : ContDiff 𝕜 n g) (hnm : n + 1 ≤ m) :
ContDiff 𝕜 n fun x => fderiv 𝕜 (f x) (g x) :=
contDiff_iff_contDiffAt.mpr fun _ => hf.contDiffAt.fderiv hg.contDiffAt hnm
/-- `fderiv 𝕜 f` is smooth. -/
theorem ContDiff.fderiv_right (hf : ContDiff 𝕜 n f) (hmn : m + 1 ≤ n) :
ContDiff 𝕜 m (fderiv 𝕜 f) :=
contDiff_iff_contDiffAt.mpr fun _x => hf.contDiffAt.fderiv_right hmn
theorem ContDiff.iteratedFDeriv_right {i : ℕ} (hf : ContDiff 𝕜 n f)
(hmn : m + i ≤ n) : ContDiff 𝕜 m (iteratedFDeriv 𝕜 i f) :=
contDiff_iff_contDiffAt.mpr fun _x => hf.contDiffAt.iteratedFDeriv_right hmn
/-- `x ↦ fderiv 𝕜 (f x) (g x)` is continuous. -/
theorem Continuous.fderiv {f : E → F → G} {g : E → F}
(hf : ContDiff 𝕜 n <| Function.uncurry f) (hg : Continuous g) (hn : 1 ≤ n) :
Continuous fun x => fderiv 𝕜 (f x) (g x) :=
(hf.fderiv (contDiff_zero.mpr hg) hn).continuous
/-- `x ↦ fderiv 𝕜 (f x) (g x) (k x)` is smooth. -/
theorem ContDiff.fderiv_apply {f : E → F → G} {g k : E → F}
(hf : ContDiff 𝕜 m <| Function.uncurry f) (hg : ContDiff 𝕜 n g) (hk : ContDiff 𝕜 n k)
(hnm : n + 1 ≤ m) : ContDiff 𝕜 n fun x => fderiv 𝕜 (f x) (g x) (k x) :=
(hf.fderiv hg hnm).clm_apply hk
/-- The bundled derivative of a `C^{n+1}` function is `C^n`. -/
theorem contDiffOn_fderivWithin_apply {s : Set E} {f : E → F} (hf : ContDiffOn 𝕜 n f s)
(hs : UniqueDiffOn 𝕜 s) (hmn : m + 1 ≤ n) :
ContDiffOn 𝕜 m (fun p : E × E => (fderivWithin 𝕜 f s p.1 : E →L[𝕜] F) p.2) (s ×ˢ univ) :=
((hf.fderivWithin hs hmn).comp contDiffOn_fst (prod_subset_preimage_fst _ _)).clm_apply
contDiffOn_snd
/-- If a function is at least `C^1`, its bundled derivative (mapping `(x, v)` to `Df(x) v`) is
continuous. -/
theorem ContDiffOn.continuousOn_fderivWithin_apply (hf : ContDiffOn 𝕜 n f s) (hs : UniqueDiffOn 𝕜 s)
(hn : 1 ≤ n) :
ContinuousOn (fun p : E × E => (fderivWithin 𝕜 f s p.1 : E → F) p.2) (s ×ˢ univ) :=
(contDiffOn_fderivWithin_apply (m := 0) hf hs hn).continuousOn
/-- The bundled derivative of a `C^{n+1}` function is `C^n`. -/
theorem ContDiff.contDiff_fderiv_apply {f : E → F} (hf : ContDiff 𝕜 n f) (hmn : m + 1 ≤ n) :
ContDiff 𝕜 m fun p : E × E => (fderiv 𝕜 f p.1 : E →L[𝕜] F) p.2 := by
rw [← contDiffOn_univ] at hf ⊢
rw [← fderivWithin_univ, ← univ_prod_univ]
exact contDiffOn_fderivWithin_apply hf uniqueDiffOn_univ hmn
end bundled
section deriv
/-!
### One dimension
All results up to now have been expressed in terms of the general Fréchet derivative `fderiv`. For
maps defined on the field, the one-dimensional derivative `deriv` is often easier to use. In this
paragraph, we reformulate some higher smoothness results in terms of `deriv`.
-/
variable {f₂ : 𝕜 → F} {s₂ : Set 𝕜}
open ContinuousLinearMap (smulRight)
/-- A function is `C^(n + 1)` on a domain with unique derivatives if and only if it is
differentiable there, and its derivative (formulated with `derivWithin`) is `C^n`. -/
theorem contDiffOn_succ_iff_derivWithin (hs : UniqueDiffOn 𝕜 s₂) :
ContDiffOn 𝕜 (n + 1) f₂ s₂ ↔
DifferentiableOn 𝕜 f₂ s₂ ∧ (n = ω → AnalyticOn 𝕜 f₂ s₂) ∧
ContDiffOn 𝕜 n (derivWithin f₂ s₂) s₂ := by
rw [contDiffOn_succ_iff_fderivWithin hs, and_congr_right_iff]
intro _
constructor
· rintro ⟨h', h⟩
refine ⟨h', ?_⟩
have : derivWithin f₂ s₂ = (fun u : 𝕜 →L[𝕜] F => u 1) ∘ fderivWithin 𝕜 f₂ s₂ := by
ext x; rfl
simp_rw [this]
apply ContDiff.comp_contDiffOn _ h
exact (isBoundedBilinearMap_apply.isBoundedLinearMap_left _).contDiff
· rintro ⟨h', h⟩
refine ⟨h', ?_⟩
have : fderivWithin 𝕜 f₂ s₂ = smulRight (1 : 𝕜 →L[𝕜] 𝕜) ∘ derivWithin f₂ s₂ := by
ext x; simp [derivWithin]
simp only [this]
apply ContDiff.comp_contDiffOn _ h
have : IsBoundedBilinearMap 𝕜 fun _ : (𝕜 →L[𝕜] 𝕜) × F => _ := isBoundedBilinearMap_smulRight
exact (this.isBoundedLinearMap_right _).contDiff
theorem contDiffOn_infty_iff_derivWithin (hs : UniqueDiffOn 𝕜 s₂) :
ContDiffOn 𝕜 ∞ f₂ s₂ ↔ DifferentiableOn 𝕜 f₂ s₂ ∧ ContDiffOn 𝕜 ∞ (derivWithin f₂ s₂) s₂ := by
rw [show ∞ = ∞ + 1 by rfl, contDiffOn_succ_iff_derivWithin hs]
simp
@[deprecated (since := "2024-11-27")]
alias contDiffOn_top_iff_derivWithin := contDiffOn_infty_iff_derivWithin
/-- A function is `C^(n + 1)` on an open domain if and only if it is
differentiable there, and its derivative (formulated with `deriv`) is `C^n`. -/
theorem contDiffOn_succ_iff_deriv_of_isOpen (hs : IsOpen s₂) :
ContDiffOn 𝕜 (n + 1) f₂ s₂ ↔
DifferentiableOn 𝕜 f₂ s₂ ∧ (n = ω → AnalyticOn 𝕜 f₂ s₂) ∧
ContDiffOn 𝕜 n (deriv f₂) s₂ := by
rw [contDiffOn_succ_iff_derivWithin hs.uniqueDiffOn]
exact Iff.rfl.and (Iff.rfl.and (contDiffOn_congr fun _ => derivWithin_of_isOpen hs))
theorem contDiffOn_infty_iff_deriv_of_isOpen (hs : IsOpen s₂) :
ContDiffOn 𝕜 ∞ f₂ s₂ ↔ DifferentiableOn 𝕜 f₂ s₂ ∧ ContDiffOn 𝕜 ∞ (deriv f₂) s₂ := by
rw [show ∞ = ∞ + 1 by rfl, contDiffOn_succ_iff_deriv_of_isOpen hs]
simp
@[deprecated (since := "2024-11-27")]
alias contDiffOn_top_iff_deriv_of_isOpen := contDiffOn_infty_iff_deriv_of_isOpen
protected theorem ContDiffOn.derivWithin (hf : ContDiffOn 𝕜 n f₂ s₂) (hs : UniqueDiffOn 𝕜 s₂)
(hmn : m + 1 ≤ n) : ContDiffOn 𝕜 m (derivWithin f₂ s₂) s₂ :=
((contDiffOn_succ_iff_derivWithin hs).1 (hf.of_le hmn)).2.2
theorem ContDiffOn.deriv_of_isOpen (hf : ContDiffOn 𝕜 n f₂ s₂) (hs : IsOpen s₂) (hmn : m + 1 ≤ n) :
ContDiffOn 𝕜 m (deriv f₂) s₂ :=
(hf.derivWithin hs.uniqueDiffOn hmn).congr fun _ hx => (derivWithin_of_isOpen hs hx).symm
theorem ContDiffOn.continuousOn_derivWithin (h : ContDiffOn 𝕜 n f₂ s₂) (hs : UniqueDiffOn 𝕜 s₂)
(hn : 1 ≤ n) : ContinuousOn (derivWithin f₂ s₂) s₂ := by
rw [show (1 : WithTop ℕ∞) = 0 + 1 from rfl] at hn
exact ((contDiffOn_succ_iff_derivWithin hs).1 (h.of_le hn)).2.2.continuousOn
theorem ContDiffOn.continuousOn_deriv_of_isOpen (h : ContDiffOn 𝕜 n f₂ s₂) (hs : IsOpen s₂)
(hn : 1 ≤ n) : ContinuousOn (deriv f₂) s₂ := by
rw [show (1 : WithTop ℕ∞) = 0 + 1 from rfl] at hn
exact ((contDiffOn_succ_iff_deriv_of_isOpen hs).1 (h.of_le hn)).2.2.continuousOn
/-- A function is `C^(n + 1)` if and only if it is differentiable,
and its derivative (formulated in terms of `deriv`) is `C^n`. -/
theorem contDiff_succ_iff_deriv :
ContDiff 𝕜 (n + 1) f₂ ↔ Differentiable 𝕜 f₂ ∧ (n = ω → AnalyticOn 𝕜 f₂ univ) ∧
ContDiff 𝕜 n (deriv f₂) := by
simp only [← contDiffOn_univ, contDiffOn_succ_iff_deriv_of_isOpen, isOpen_univ,
differentiableOn_univ]
theorem contDiff_one_iff_deriv :
ContDiff 𝕜 1 f₂ ↔ Differentiable 𝕜 f₂ ∧ Continuous (deriv f₂) := by
rw [show (1 : WithTop ℕ∞) = 0 + 1 from rfl, contDiff_succ_iff_deriv]
simp
theorem contDiff_infty_iff_deriv :
ContDiff 𝕜 ∞ f₂ ↔ Differentiable 𝕜 f₂ ∧ ContDiff 𝕜 ∞ (deriv f₂) := by
rw [show (∞ : WithTop ℕ∞) = ∞ + 1 from rfl, contDiff_succ_iff_deriv]
simp
@[deprecated (since := "2024-11-27")] alias contDiff_top_iff_deriv := contDiff_infty_iff_deriv
theorem ContDiff.continuous_deriv (h : ContDiff 𝕜 n f₂) (hn : 1 ≤ n) : Continuous (deriv f₂) := by
rw [show (1 : WithTop ℕ∞) = 0 + 1 from rfl] at hn
exact (contDiff_succ_iff_deriv.mp (h.of_le hn)).2.2.continuous
theorem ContDiff.iterate_deriv :
∀ (n : ℕ) {f₂ : 𝕜 → F}, ContDiff 𝕜 ∞ f₂ → ContDiff 𝕜 ∞ (deriv^[n] f₂)
| 0, _, hf => hf
| n + 1, _, hf => ContDiff.iterate_deriv n (contDiff_infty_iff_deriv.mp hf).2
theorem ContDiff.iterate_deriv' (n : ℕ) :
∀ (k : ℕ) {f₂ : 𝕜 → F}, ContDiff 𝕜 (n + k : ℕ) f₂ → ContDiff 𝕜 n (deriv^[k] f₂)
| 0, _, hf => hf
| k + 1, _, hf => ContDiff.iterate_deriv' _ k (contDiff_succ_iff_deriv.mp hf).2.2
end deriv
| Mathlib/Analysis/Calculus/ContDiff/Basic.lean | 1,449 | 1,458 | |
/-
Copyright (c) 2017 Johannes Hölzl. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Johannes Hölzl, Mario Carneiro, Patrick Massot
-/
import Mathlib.Topology.UniformSpace.Basic
import Mathlib.Topology.Compactness.Compact
/-!
# Compact sets in uniform spaces
* `compactSpace_uniformity`: On a compact uniform space, the topology determines the
uniform structure, entourages are exactly the neighborhoods of the diagonal.
-/
universe u v ua ub uc ud
variable {α : Type ua} {β : Type ub} {γ : Type uc} {δ : Type ud} {ι : Sort*}
section Compact
open Uniformity Set Filter UniformSpace
open scoped Topology
variable [UniformSpace α] {K : Set α}
/-- Let `c : ι → Set α` be an open cover of a compact set `s`. Then there exists an entourage
`n` such that for each `x ∈ s` its `n`-neighborhood is contained in some `c i`. -/
theorem lebesgue_number_lemma {ι : Sort*} {U : ι → Set α} (hK : IsCompact K)
(hopen : ∀ i, IsOpen (U i)) (hcover : K ⊆ ⋃ i, U i) :
∃ V ∈ 𝓤 α, ∀ x ∈ K, ∃ i, ball x V ⊆ U i := by
have : ∀ x ∈ K, ∃ i, ∃ V ∈ 𝓤 α, ball x (V ○ V) ⊆ U i := fun x hx ↦ by
obtain ⟨i, hi⟩ := mem_iUnion.1 (hcover hx)
rw [← (hopen i).mem_nhds_iff, nhds_eq_comap_uniformity, ← lift'_comp_uniformity] at hi
exact ⟨i, (((basis_sets _).lift' <| monotone_id.compRel monotone_id).comap _).mem_iff.1 hi⟩
choose ind W hW hWU using this
rcases hK.elim_nhds_subcover' (fun x hx ↦ ball x (W x hx)) (fun x hx ↦ ball_mem_nhds _ (hW x hx))
with ⟨t, ht⟩
refine ⟨⋂ x ∈ t, W x x.2, (biInter_finset_mem _).2 fun x _ ↦ hW x x.2, fun x hx ↦ ?_⟩
rcases mem_iUnion₂.1 (ht hx) with ⟨y, hyt, hxy⟩
exact ⟨ind y y.2, fun z hz ↦ hWU _ _ ⟨x, hxy, mem_iInter₂.1 hz _ hyt⟩⟩
theorem lebesgue_number_lemma_nhds' {U : (x : α) → x ∈ K → Set α} (hK : IsCompact K)
(hU : ∀ x hx, U x hx ∈ 𝓝 x) : ∃ V ∈ 𝓤 α, ∀ x ∈ K, ∃ y : K, ball x V ⊆ U y y.2 := by
rcases lebesgue_number_lemma (U := fun x : K => interior (U x x.2)) hK (fun _ => isOpen_interior)
(fun x hx => mem_iUnion.2 ⟨⟨x, hx⟩, mem_interior_iff_mem_nhds.2 (hU x hx)⟩) with ⟨V, V_uni, hV⟩
exact ⟨V, V_uni, fun x hx => (hV x hx).imp fun _ hy => hy.trans interior_subset⟩
theorem lebesgue_number_lemma_nhds {U : α → Set α} (hK : IsCompact K) (hU : ∀ x ∈ K, U x ∈ 𝓝 x) :
∃ V ∈ 𝓤 α, ∀ x ∈ K, ∃ y, ball x V ⊆ U y := by
rcases lebesgue_number_lemma (U := fun x => interior (U x)) hK (fun _ => isOpen_interior)
(fun x hx => mem_iUnion.2 ⟨x, mem_interior_iff_mem_nhds.2 (hU x hx)⟩) with ⟨V, V_uni, hV⟩
exact ⟨V, V_uni, fun x hx => (hV x hx).imp fun _ hy => hy.trans interior_subset⟩
theorem lebesgue_number_lemma_nhdsWithin' {U : (x : α) → x ∈ K → Set α} (hK : IsCompact K)
(hU : ∀ x hx, U x hx ∈ 𝓝[K] x) : ∃ V ∈ 𝓤 α, ∀ x ∈ K, ∃ y : K, ball x V ∩ K ⊆ U y y.2 :=
(lebesgue_number_lemma_nhds' hK (fun x hx => Filter.mem_inf_principal'.1 (hU x hx))).imp
fun _ ⟨V_uni, hV⟩ => ⟨V_uni, fun x hx => (hV x hx).imp fun _ hy => (inter_subset _ _ _).2 hy⟩
theorem lebesgue_number_lemma_nhdsWithin {U : α → Set α} (hK : IsCompact K)
(hU : ∀ x ∈ K, U x ∈ 𝓝[K] x) : ∃ V ∈ 𝓤 α, ∀ x ∈ K, ∃ y, ball x V ∩ K ⊆ U y :=
(lebesgue_number_lemma_nhds hK (fun x hx => Filter.mem_inf_principal'.1 (hU x hx))).imp
fun _ ⟨V_uni, hV⟩ => ⟨V_uni, fun x hx => (hV x hx).imp fun _ hy => (inter_subset _ _ _).2 hy⟩
/-- Let `U : ι → Set α` be an open cover of a compact set `K`.
Then there exists an entourage `V`
such that for each `x ∈ K` its `V`-neighborhood is included in some `U i`.
Moreover, one can choose an entourage from a given basis. -/
protected theorem Filter.HasBasis.lebesgue_number_lemma {ι' ι : Sort*} {p : ι' → Prop}
{V : ι' → Set (α × α)} {U : ι → Set α} (hbasis : (𝓤 α).HasBasis p V) (hK : IsCompact K)
(hopen : ∀ j, IsOpen (U j)) (hcover : K ⊆ ⋃ j, U j) :
∃ i, p i ∧ ∀ x ∈ K, ∃ j, ball x (V i) ⊆ U j := by
refine (hbasis.exists_iff ?_).1 (lebesgue_number_lemma hK hopen hcover)
exact fun s t hst ht x hx ↦ (ht x hx).imp fun i hi ↦ Subset.trans (ball_mono hst _) hi
protected theorem Filter.HasBasis.lebesgue_number_lemma_nhds' {ι' : Sort*} {p : ι' → Prop}
{V : ι' → Set (α × α)} {U : (x : α) → x ∈ K → Set α} (hbasis : (𝓤 α).HasBasis p V)
(hK : IsCompact K) (hU : ∀ x hx, U x hx ∈ 𝓝 x) :
∃ i, p i ∧ ∀ x ∈ K, ∃ y : K, ball x (V i) ⊆ U y y.2 := by
refine (hbasis.exists_iff ?_).1 (lebesgue_number_lemma_nhds' hK hU)
exact fun s t hst ht x hx ↦ (ht x hx).imp fun y hy ↦ Subset.trans (ball_mono hst _) hy
protected theorem Filter.HasBasis.lebesgue_number_lemma_nhds {ι' : Sort*} {p : ι' → Prop}
{V : ι' → Set (α × α)} {U : α → Set α} (hbasis : (𝓤 α).HasBasis p V) (hK : IsCompact K)
(hU : ∀ x ∈ K, U x ∈ 𝓝 x) : ∃ i, p i ∧ ∀ x ∈ K, ∃ y, ball x (V i) ⊆ U y := by
refine (hbasis.exists_iff ?_).1 (lebesgue_number_lemma_nhds hK hU)
exact fun s t hst ht x hx ↦ (ht x hx).imp fun y hy ↦ Subset.trans (ball_mono hst _) hy
protected theorem Filter.HasBasis.lebesgue_number_lemma_nhdsWithin' {ι' : Sort*} {p : ι' → Prop}
{V : ι' → Set (α × α)} {U : (x : α) → x ∈ K → Set α} (hbasis : (𝓤 α).HasBasis p V)
(hK : IsCompact K) (hU : ∀ x hx, U x hx ∈ 𝓝[K] x) :
∃ i, p i ∧ ∀ x ∈ K, ∃ y : K, ball x (V i) ∩ K ⊆ U y y.2 := by
refine (hbasis.exists_iff ?_).1 (lebesgue_number_lemma_nhdsWithin' hK hU)
exact fun s t hst ht x hx ↦ (ht x hx).imp
fun y hy ↦ Subset.trans (Set.inter_subset_inter_left K (ball_mono hst _)) hy
protected theorem Filter.HasBasis.lebesgue_number_lemma_nhdsWithin {ι' : Sort*} {p : ι' → Prop}
{V : ι' → Set (α × α)} {U : α → Set α} (hbasis : (𝓤 α).HasBasis p V) (hK : IsCompact K)
(hU : ∀ x ∈ K, U x ∈ 𝓝[K] x) : ∃ i, p i ∧ ∀ x ∈ K, ∃ y, ball x (V i) ∩ K ⊆ U y := by
refine (hbasis.exists_iff ?_).1 (lebesgue_number_lemma_nhdsWithin hK hU)
exact fun s t hst ht x hx ↦ (ht x hx).imp
fun y hy ↦ Subset.trans (Set.inter_subset_inter_left K (ball_mono hst _)) hy
/-- Let `c : Set (Set α)` be an open cover of a compact set `s`. Then there exists an entourage
`n` such that for each `x ∈ s` its `n`-neighborhood is contained in some `t ∈ c`. -/
theorem lebesgue_number_lemma_sUnion {S : Set (Set α)}
(hK : IsCompact K) (hopen : ∀ s ∈ S, IsOpen s) (hcover : K ⊆ ⋃₀ S) :
∃ V ∈ 𝓤 α, ∀ x ∈ K, ∃ s ∈ S, ball x V ⊆ s := by
rw [sUnion_eq_iUnion] at hcover
simpa using lebesgue_number_lemma hK (by simpa) hcover
/-- If `K` is a compact set in a uniform space and `{V i | p i}` is a basis of entourages,
then `{⋃ x ∈ K, UniformSpace.ball x (V i) | p i}` is a basis of `𝓝ˢ K`.
Here "`{s i | p i}` is a basis of a filter `l`" means `Filter.HasBasis l p s`. -/
theorem IsCompact.nhdsSet_basis_uniformity {p : ι → Prop} {V : ι → Set (α × α)}
(hbasis : (𝓤 α).HasBasis p V) (hK : IsCompact K) :
(𝓝ˢ K).HasBasis p fun i => ⋃ x ∈ K, ball x (V i) where
mem_iff' U := by
constructor
· intro H
have HKU : K ⊆ ⋃ _ : Unit, interior U := by
simpa only [iUnion_const, subset_interior_iff_mem_nhdsSet] using H
obtain ⟨i, hpi, hi⟩ : ∃ i, p i ∧ ⋃ x ∈ K, ball x (V i) ⊆ interior U := by
simpa using hbasis.lebesgue_number_lemma hK (fun _ ↦ isOpen_interior) HKU
exact ⟨i, hpi, hi.trans interior_subset⟩
· rintro ⟨i, hpi, hi⟩
refine mem_of_superset (bUnion_mem_nhdsSet fun x _ ↦ ?_) hi
exact ball_mem_nhds _ <| hbasis.mem_of_mem hpi
-- TODO: move to a separate file, golf using the regularity of a uniform space.
theorem Disjoint.exists_uniform_thickening {A B : Set α} (hA : IsCompact A) (hB : IsClosed B)
(h : Disjoint A B) : ∃ V ∈ 𝓤 α, Disjoint (⋃ x ∈ A, ball x V) (⋃ x ∈ B, ball x V) := by
have : Bᶜ ∈ 𝓝ˢ A := hB.isOpen_compl.mem_nhdsSet.mpr h.le_compl_right
rw [(hA.nhdsSet_basis_uniformity (Filter.basis_sets _)).mem_iff] at this
rcases this with ⟨U, hU, hUAB⟩
rcases comp_symm_mem_uniformity_sets hU with ⟨V, hV, hVsymm, hVU⟩
refine ⟨V, hV, Set.disjoint_left.mpr fun x => ?_⟩
simp only [mem_iUnion₂]
rintro ⟨a, ha, hxa⟩ ⟨b, hb, hxb⟩
rw [mem_ball_symmetry hVsymm] at hxa hxb
exact hUAB (mem_iUnion₂_of_mem ha <| hVU <| mem_comp_of_mem_ball hVsymm hxa hxb) hb
theorem Disjoint.exists_uniform_thickening_of_basis {p : ι → Prop} {s : ι → Set (α × α)}
(hU : (𝓤 α).HasBasis p s) {A B : Set α} (hA : IsCompact A) (hB : IsClosed B)
(h : Disjoint A B) : ∃ i, p i ∧ Disjoint (⋃ x ∈ A, ball x (s i)) (⋃ x ∈ B, ball x (s i)) := by
rcases h.exists_uniform_thickening hA hB with ⟨V, hV, hVAB⟩
rcases hU.mem_iff.1 hV with ⟨i, hi, hiV⟩
exact ⟨i, hi, hVAB.mono (iUnion₂_mono fun a _ => ball_mono hiV a)
(iUnion₂_mono fun b _ => ball_mono hiV b)⟩
/-- A useful consequence of the Lebesgue number lemma: given any compact set `K` contained in an
open set `U`, we can find an (open) entourage `V` such that the ball of size `V` about any point of
`K` is contained in `U`. -/
theorem lebesgue_number_of_compact_open {K U : Set α} (hK : IsCompact K)
(hU : IsOpen U) (hKU : K ⊆ U) : ∃ V ∈ 𝓤 α, IsOpen V ∧ ∀ x ∈ K, UniformSpace.ball x V ⊆ U :=
let ⟨V, ⟨hV, hVo⟩, hVU⟩ :=
(hK.nhdsSet_basis_uniformity uniformity_hasBasis_open).mem_iff.1 (hU.mem_nhdsSet.2 hKU)
⟨V, hV, hVo, iUnion₂_subset_iff.1 hVU⟩
/-- On a compact uniform space, the topology determines the uniform structure, entourages are
exactly the neighborhoods of the diagonal. -/
theorem nhdsSet_diagonal_eq_uniformity [CompactSpace α] : 𝓝ˢ (diagonal α) = 𝓤 α := by
refine nhdsSet_diagonal_le_uniformity.antisymm ?_
have :
| (𝓤 (α × α)).HasBasis (fun U => U ∈ 𝓤 α) fun U =>
(fun p : (α × α) × α × α => ((p.1.1, p.2.1), p.1.2, p.2.2)) ⁻¹' U ×ˢ U := by
rw [uniformity_prod_eq_comap_prod]
exact (𝓤 α).basis_sets.prod_self.comap _
refine (isCompact_diagonal.nhdsSet_basis_uniformity this).ge_iff.2 fun U hU => ?_
exact mem_of_superset hU fun ⟨x, y⟩ hxy => mem_iUnion₂.2
| Mathlib/Topology/UniformSpace/Compact.lean | 169 | 174 |
/-
Copyright (c) 2022 Yaël Dillies, Ella Yu. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yaël Dillies, Ella Yu
-/
import Mathlib.Algebra.Order.BigOperators.Ring.Finset
import Mathlib.Data.Finset.Prod
import Mathlib.Data.Fintype.Prod
import Mathlib.Algebra.Group.Pointwise.Finset.Basic
/-!
# Additive energy
This file defines the additive energy of two finsets of a group. This is a central quantity in
additive combinatorics.
## Main declarations
* `Finset.addEnergy`: The additive energy of two finsets in an additive group.
* `Finset.mulEnergy`: The multiplicative energy of two finsets in a group.
## Notation
The following notations are defined in the `Combinatorics.Additive` scope:
* `E[s, t]` for `Finset.addEnergy s t`.
* `Eₘ[s, t]` for `Finset.mulEnergy s t`.
* `E[s]` for `E[s, s]`.
* `Eₘ[s]` for `Eₘ[s, s]`.
## TODO
It's possibly interesting to have
`(s ×ˢ s) ×ˢ t ×ˢ t).filter (fun x : (α × α) × α × α ↦ x.1.1 * x.2.1 = x.1.2 * x.2.2)`
(whose `card` is `mulEnergy s t`) as a standalone definition.
-/
open scoped Pointwise
variable {α : Type*} [DecidableEq α]
namespace Finset
section Mul
variable [Mul α] {s s₁ s₂ t t₁ t₂ : Finset α}
/-- The multiplicative energy `Eₘ[s, t]` of two finsets `s` and `t` in a group is the number of
quadruples `(a₁, a₂, b₁, b₂) ∈ s × s × t × t` such that `a₁ * b₁ = a₂ * b₂`.
The notation `Eₘ[s, t]` is available in scope `Combinatorics.Additive`. -/
@[to_additive "The additive energy `E[s, t]` of two finsets `s` and `t` in a group is the number of
quadruples `(a₁, a₂, b₁, b₂) ∈ s × s × t × t` such that `a₁ + b₁ = a₂ + b₂`.
The notation `E[s, t]` is available in scope `Combinatorics.Additive`."]
def mulEnergy (s t : Finset α) : ℕ :=
(((s ×ˢ s) ×ˢ t ×ˢ t).filter fun x : (α × α) × α × α => x.1.1 * x.2.1 = x.1.2 * x.2.2).card
/-- The multiplicative energy of two finsets `s` and `t` in a group is the number of quadruples
`(a₁, a₂, b₁, b₂) ∈ s × s × t × t` such that `a₁ * b₁ = a₂ * b₂`. -/
scoped[Combinatorics.Additive] notation3:max "Eₘ[" s ", " t "]" => Finset.mulEnergy s t
/-- The additive energy of two finsets `s` and `t` in a group is the number of quadruples
`(a₁, a₂, b₁, b₂) ∈ s × s × t × t` such that `a₁ + b₁ = a₂ + b₂`. -/
scoped[Combinatorics.Additive] notation3:max "E[" s ", " t "]" => Finset.addEnergy s t
/-- The multiplicative energy of a finset `s` in a group is the number of quadruples
`(a₁, a₂, b₁, b₂) ∈ s × s × s × s` such that `a₁ * b₁ = a₂ * b₂`. -/
scoped[Combinatorics.Additive] notation3:max "Eₘ[" s "]" => Finset.mulEnergy s s
/-- The additive energy of a finset `s` in a group is the number of quadruples
`(a₁, a₂, b₁, b₂) ∈ s × s × s × s` such that `a₁ + b₁ = a₂ + b₂`. -/
scoped[Combinatorics.Additive] notation3:max "E[" s "]" => Finset.addEnergy s s
open scoped Combinatorics.Additive
@[to_additive (attr := gcongr)]
lemma mulEnergy_mono (hs : s₁ ⊆ s₂) (ht : t₁ ⊆ t₂) : Eₘ[s₁, t₁] ≤ Eₘ[s₂, t₂] := by
unfold mulEnergy; gcongr
@[to_additive] lemma mulEnergy_mono_left (hs : s₁ ⊆ s₂) : Eₘ[s₁, t] ≤ Eₘ[s₂, t] :=
mulEnergy_mono hs Subset.rfl
@[to_additive] lemma mulEnergy_mono_right (ht : t₁ ⊆ t₂) : Eₘ[s, t₁] ≤ Eₘ[s, t₂] :=
mulEnergy_mono Subset.rfl ht
@[to_additive] lemma le_mulEnergy : s.card * t.card ≤ Eₘ[s, t] := by
rw [← card_product]
refine
card_le_card_of_injOn (@fun x => ((x.1, x.1), x.2, x.2)) (by simp) fun a _ b _ => ?_
simp only [Prod.mk_inj, and_self_iff, and_imp]
exact Prod.ext
@[to_additive] lemma mulEnergy_pos (hs : s.Nonempty) (ht : t.Nonempty) : 0 < Eₘ[s, t] :=
(mul_pos hs.card_pos ht.card_pos).trans_le le_mulEnergy
variable (s t)
@[to_additive (attr := simp)] lemma mulEnergy_empty_left : Eₘ[∅, t] = 0 := by simp [mulEnergy]
@[to_additive (attr := simp)] lemma mulEnergy_empty_right : Eₘ[s, ∅] = 0 := by simp [mulEnergy]
variable {s t}
@[to_additive (attr := simp)] lemma mulEnergy_pos_iff : 0 < Eₘ[s, t] ↔ s.Nonempty ∧ t.Nonempty where
mp h := of_not_not fun H => by
simp_rw [not_and_or, not_nonempty_iff_eq_empty] at H
obtain rfl | rfl := H <;> simp [Nat.not_lt_zero] at h
mpr h := mulEnergy_pos h.1 h.2
@[to_additive (attr := simp)] lemma mulEnergy_eq_zero_iff : Eₘ[s, t] = 0 ↔ s = ∅ ∨ t = ∅ := by
simp [← (Nat.zero_le _).not_gt_iff_eq, not_and_or, imp_iff_or_not, or_comm]
@[to_additive] lemma mulEnergy_eq_card_filter (s t : Finset α) :
Eₘ[s, t] = (((s ×ˢ t) ×ˢ s ×ˢ t).filter fun ((a, b), c, d) ↦ a * b = c * d).card :=
card_equiv (.prodProdProdComm _ _ _ _) (by simp [and_and_and_comm])
@[to_additive] lemma mulEnergy_eq_sum_sq' (s t : Finset α) :
Eₘ[s, t] = ∑ a ∈ s * t, ((s ×ˢ t).filter fun (x, y) ↦ x * y = a).card ^ 2 := by
simp_rw [mulEnergy_eq_card_filter, sq, ← card_product]
rw [← card_disjiUnion]
-- The `swap`, `ext` and `simp` calls significantly reduce heartbeats
swap
· simp only [Set.PairwiseDisjoint, Set.Pairwise, coe_mul, ne_eq, disjoint_left, mem_product,
mem_filter, not_and, and_imp, Prod.forall]
aesop
· congr
ext
simp only [mem_filter, mem_product, disjiUnion_eq_biUnion, mem_biUnion]
aesop (add unsafe mul_mem_mul)
@[to_additive] lemma mulEnergy_eq_sum_sq [Fintype α] (s t : Finset α) :
Eₘ[s, t] = ∑ a, ((s ×ˢ t).filter fun (x, y) ↦ x * y = a).card ^ 2 := by
| rw [mulEnergy_eq_sum_sq']
exact Fintype.sum_subset <| by aesop (add simp [filter_eq_empty_iff, mul_mem_mul])
| Mathlib/Combinatorics/Additive/Energy.lean | 131 | 132 |
/-
Copyright (c) 2023 Chris Hughes. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Chris Hughes
-/
import Mathlib.GroupTheory.CoprodI
import Mathlib.GroupTheory.Coprod.Basic
import Mathlib.GroupTheory.Complement
/-!
## Pushouts of Monoids and Groups
This file defines wide pushouts of monoids and groups and proves some properties
of the amalgamated product of groups (i.e. the special case where all the maps
in the diagram are injective).
## Main definitions
- `Monoid.PushoutI`: the pushout of a diagram of monoids indexed by a type `ι`
- `Monoid.PushoutI.base`: the map from the amalgamating monoid to the pushout
- `Monoid.PushoutI.of`: the map from each Monoid in the family to the pushout
- `Monoid.PushoutI.lift`: the universal property used to define homomorphisms out of the pushout.
- `Monoid.PushoutI.NormalWord`: a normal form for words in the pushout
- `Monoid.PushoutI.of_injective`: if all the maps in the diagram are injective in a pushout of
groups then so is `of`
- `Monoid.PushoutI.Reduced.eq_empty_of_mem_range`: For any word `w` in the coproduct,
if `w` is reduced (i.e none its letters are in the image of the base monoid), and nonempty, then
`w` itself is not in the image of the base monoid.
## References
* The normal form theorem follows these [notes](https://webspace.maths.qmul.ac.uk/i.m.chiswell/ggt/lecture_notes/lecture2.pdf)
from Queen Mary University
## Tags
amalgamated product, pushout, group
-/
namespace Monoid
open CoprodI Subgroup Coprod Function List
variable {ι : Type*} {G : ι → Type*} {H : Type*} {K : Type*} [Monoid K]
/-- The relation we quotient by to form the pushout -/
def PushoutI.con [∀ i, Monoid (G i)] [Monoid H] (φ : ∀ i, H →* G i) :
Con (Coprod (CoprodI G) H) :=
conGen (fun x y : Coprod (CoprodI G) H =>
∃ i x', x = inl (of (φ i x')) ∧ y = inr x')
/-- The indexed pushout of monoids, which is the pushout in the category of monoids,
or the category of groups. -/
def PushoutI [∀ i, Monoid (G i)] [Monoid H] (φ : ∀ i, H →* G i) : Type _ :=
(PushoutI.con φ).Quotient
namespace PushoutI
section Monoid
variable [∀ i, Monoid (G i)] [Monoid H] {φ : ∀ i, H →* G i}
protected instance mul : Mul (PushoutI φ) := by
delta PushoutI; infer_instance
protected instance one : One (PushoutI φ) := by
delta PushoutI; infer_instance
instance monoid : Monoid (PushoutI φ) :=
{ Con.monoid _ with
toMul := PushoutI.mul
toOne := PushoutI.one }
/-- The map from each indexing group into the pushout -/
def of (i : ι) : G i →* PushoutI φ :=
(Con.mk' _).comp <| inl.comp CoprodI.of
variable (φ) in
/-- The map from the base monoid into the pushout -/
def base : H →* PushoutI φ :=
(Con.mk' _).comp inr
theorem of_comp_eq_base (i : ι) : (of i).comp (φ i) = (base φ) := by
ext x
apply (Con.eq _).2
refine ConGen.Rel.of _ _ ?_
simp only [MonoidHom.comp_apply, Set.mem_iUnion, Set.mem_range]
exact ⟨_, _, rfl, rfl⟩
variable (φ) in
theorem of_apply_eq_base (i : ι) (x : H) : of i (φ i x) = base φ x := by
rw [← MonoidHom.comp_apply, of_comp_eq_base]
/-- Define a homomorphism out of the pushout of monoids be defining it on each object in the
diagram -/
def lift (f : ∀ i, G i →* K) (k : H →* K)
(hf : ∀ i, (f i).comp (φ i) = k) :
PushoutI φ →* K :=
Con.lift _ (Coprod.lift (CoprodI.lift f) k) <| by
apply Con.conGen_le fun x y => ?_
rintro ⟨i, x', rfl, rfl⟩
simp only [DFunLike.ext_iff, MonoidHom.coe_comp, comp_apply] at hf
simp [hf]
@[simp]
theorem lift_of (f : ∀ i, G i →* K) (k : H →* K)
(hf : ∀ i, (f i).comp (φ i) = k)
{i : ι} (g : G i) : (lift f k hf) (of i g : PushoutI φ) = f i g := by
delta PushoutI lift of
simp only [MonoidHom.coe_comp, Con.coe_mk', comp_apply, Con.lift_coe,
lift_apply_inl, CoprodI.lift_of]
@[simp]
theorem lift_base (f : ∀ i, G i →* K) (k : H →* K)
(hf : ∀ i, (f i).comp (φ i) = k)
(g : H) : (lift f k hf) (base φ g : PushoutI φ) = k g := by
delta PushoutI lift base
simp only [MonoidHom.coe_comp, Con.coe_mk', comp_apply, Con.lift_coe, lift_apply_inr]
-- `ext` attribute should be lower priority then `hom_ext_nonempty`
@[ext 1199]
theorem hom_ext {f g : PushoutI φ →* K}
(h : ∀ i, f.comp (of i : G i →* _) = g.comp (of i : G i →* _))
(hbase : f.comp (base φ) = g.comp (base φ)) : f = g :=
(MonoidHom.cancel_right Con.mk'_surjective).mp <|
Coprod.hom_ext
(CoprodI.ext_hom _ _ h)
hbase
@[ext high]
theorem hom_ext_nonempty [hn : Nonempty ι]
{f g : PushoutI φ →* K}
(h : ∀ i, f.comp (of i : G i →* _) = g.comp (of i : G i →* _)) : f = g :=
hom_ext h <| by
cases hn with
| intro i =>
ext
rw [← of_comp_eq_base i, ← MonoidHom.comp_assoc, h, MonoidHom.comp_assoc]
/-- The equivalence that is part of the universal property of the pushout. A hom out of
the pushout is just a morphism out of all groups in the pushout that satisfies a commutativity
condition. -/
@[simps]
def homEquiv :
(PushoutI φ →* K) ≃ { f : (Π i, G i →* K) × (H →* K) // ∀ i, (f.1 i).comp (φ i) = f.2 } :=
{ toFun := fun f => ⟨(fun i => f.comp (of i), f.comp (base φ)),
fun i => by rw [MonoidHom.comp_assoc, of_comp_eq_base]⟩
invFun := fun f => lift f.1.1 f.1.2 f.2,
left_inv := fun _ => hom_ext (by simp [DFunLike.ext_iff])
(by simp [DFunLike.ext_iff])
right_inv := fun ⟨⟨_, _⟩, _⟩ => by simp [DFunLike.ext_iff, funext_iff] }
/-- The map from the coproduct into the pushout -/
def ofCoprodI : CoprodI G →* PushoutI φ :=
CoprodI.lift of
@[simp]
theorem ofCoprodI_of (i : ι) (g : G i) :
(ofCoprodI (CoprodI.of g) : PushoutI φ) = of i g := by
simp [ofCoprodI]
theorem induction_on {motive : PushoutI φ → Prop}
(x : PushoutI φ)
(of : ∀ (i : ι) (g : G i), motive (of i g))
(base : ∀ h, motive (base φ h))
(mul : ∀ x y, motive x → motive y → motive (x * y)) : motive x := by
delta PushoutI PushoutI.of PushoutI.base at *
induction x using Con.induction_on with
| H x =>
induction x using Coprod.induction_on with
| inl g =>
induction g using CoprodI.induction_on with
| of i g => exact of i g
| mul x y ihx ihy =>
rw [map_mul]
exact mul _ _ ihx ihy
| one => simpa using base 1
| inr h => exact base h
| mul x y ihx ihy => exact mul _ _ ihx ihy
end Monoid
variable [∀ i, Group (G i)] [Group H] {φ : ∀ i, H →* G i}
instance : Group (PushoutI φ) :=
{ Con.group (PushoutI.con φ) with
toMonoid := PushoutI.monoid }
namespace NormalWord
/-
In this section we show that there is a normal form for words in the amalgamated product. To have a
normal form, we need to pick canonical choice of element of each right coset of the base group. The
choice of element in the base group itself is `1`. Given a choice of element of each right coset,
given by the type `Transversal φ` we can find a normal form. The normal form for an element is an
element of the base group, multiplied by a word in the coproduct, where each letter in the word is
the canonical choice of element of its coset. We then show that all groups in the diagram act
faithfully on the normal form. This implies that the maps into the coproduct are injective.
We demonstrate the action is faithful using the equivalence `equivPair`. We show that `G i` acts
faithfully on `Pair d i` and that `Pair d i` is isomorphic to `NormalWord d`. Here, `d` is a
`Transversal`. A `Pair d i` is a word in the coproduct, `Coprod G`, the `tail`, and an element
of the group `G i`, the `head`. The first letter of the `tail` must not be an element of `G i`.
Note that the `head` may be `1` Every letter in the `tail` must be in the transversal given by `d`.
We then show that the equivalence between `NormalWord` and `PushoutI`, between the set of normal
words and the elements of the amalgamated product. The key to this is the theorem `prod_smul_empty`,
which says that going from `NormalWord` to `PushoutI` and back is the identity. This is proven
by induction on the word using `consRecOn`.
-/
variable (φ)
/-- The data we need to pick a normal form for words in the pushout. We need to pick a
canonical element of each coset. We also need all the maps in the diagram to be injective -/
structure Transversal : Type _ where
/-- All maps in the diagram are injective -/
injective : ∀ i, Injective (φ i)
/-- The underlying set, containing exactly one element of each coset of the base group -/
set : ∀ i, Set (G i)
/-- The chosen element of the base group itself is the identity -/
one_mem : ∀ i, 1 ∈ set i
/-- We have exactly one element of each coset of the base group -/
compl : ∀ i, IsComplement (φ i).range (set i)
theorem transversal_nonempty (hφ : ∀ i, Injective (φ i)) : Nonempty (Transversal φ) := by
choose t ht using fun i => (φ i).range.exists_isComplement_right 1
apply Nonempty.intro
exact
{ injective := hφ
set := t
one_mem := fun i => (ht i).2
compl := fun i => (ht i).1 }
variable {φ}
/-- The normal form for words in the pushout. Every element of the pushout is the product of an
element of the base group and a word made up of letters each of which is in the transversal. -/
structure _root_.Monoid.PushoutI.NormalWord (d : Transversal φ) extends CoprodI.Word G where
/-- Every `NormalWord` is the product of an element of the base group and a word made up
of letters each of which is in the transversal. `head` is that element of the base group. -/
head : H
/-- All letter in the word are in the transversal. -/
normalized : ∀ i g, ⟨i, g⟩ ∈ toList → g ∈ d.set i
/--
A `Pair d i` is a word in the coproduct, `Coprod G`, the `tail`, and an element of the group `G i`,
the `head`. The first letter of the `tail` must not be an element of `G i`.
Note that the `head` may be `1` Every letter in the `tail` must be in the transversal given by `d`.
Similar to `Monoid.CoprodI.Pair` except every letter must be in the transversal
(not including the head letter). -/
structure Pair (d : Transversal φ) (i : ι) extends CoprodI.Word.Pair G i where
/-- All letters in the word are in the transversal. -/
normalized : ∀ i g, ⟨i, g⟩ ∈ tail.toList → g ∈ d.set i
variable {d : Transversal φ}
/-- The empty normalized word, representing the identity element of the group. -/
@[simps!]
def empty : NormalWord d := ⟨CoprodI.Word.empty, 1, fun i g => by simp [CoprodI.Word.empty]⟩
instance : Inhabited (NormalWord d) := ⟨NormalWord.empty⟩
instance (i : ι) : Inhabited (Pair d i) :=
⟨{ (empty : NormalWord d) with
head := 1, tail := _,
fstIdx_ne := fun h => by cases h }⟩
@[ext]
theorem ext {w₁ w₂ : NormalWord d} (hhead : w₁.head = w₂.head)
(hlist : w₁.toList = w₂.toList) : w₁ = w₂ := by
rcases w₁ with ⟨⟨_, _, _⟩, _, _⟩
rcases w₂ with ⟨⟨_, _, _⟩, _, _⟩
simp_all
open Subgroup.IsComplement
instance baseAction : MulAction H (NormalWord d) :=
| { smul := fun h w => { w with head := h * w.head },
one_smul := by simp [instHSMul]
| Mathlib/GroupTheory/PushoutI.lean | 283 | 284 |
/-
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
-/
import Mathlib.Analysis.Calculus.ContDiff.Basic
import Mathlib.Analysis.Calculus.ParametricIntegral
import Mathlib.MeasureTheory.Integral.Prod
import Mathlib.MeasureTheory.Function.LocallyIntegrable
import Mathlib.MeasureTheory.Group.Integral
import Mathlib.MeasureTheory.Group.Prod
import Mathlib.MeasureTheory.Integral.IntervalIntegral.Basic
/-!
# Convolution of functions
This file defines the convolution on two functions, i.e. `x ↦ ∫ f(t)g(x - t) ∂t`.
In the general case, these functions can be vector-valued, and have an arbitrary (additive)
group as domain. We use a continuous bilinear operation `L` on these function values as
"multiplication". The domain must be equipped with a Haar measure `μ`
(though many individual results have weaker conditions on `μ`).
For many applications we can take `L = ContinuousLinearMap.lsmul ℝ ℝ` or
`L = ContinuousLinearMap.mul ℝ ℝ`.
We also define `ConvolutionExists` and `ConvolutionExistsAt` to state that the convolution is
well-defined (everywhere or at a single point). These conditions are needed for pointwise
computations (e.g. `ConvolutionExistsAt.distrib_add`), but are generally not strong enough for any
local (or global) properties of the convolution. For this we need stronger assumptions on `f`
and/or `g`, and generally if we impose stronger conditions on one of the functions, we can impose
weaker conditions on the other.
We have proven many of the properties of the convolution assuming one of these functions
has compact support (in which case the other function only needs to be locally integrable).
We still need to prove the properties for other pairs of conditions (e.g. both functions are
rapidly decreasing)
# Design Decisions
We use a bilinear map `L` to "multiply" the two functions in the integrand.
This generality has several advantages
* This allows us to compute the total derivative of the convolution, in case the functions are
multivariate. The total derivative is again a convolution, but where the codomains of the
functions can be higher-dimensional. See `HasCompactSupport.hasFDerivAt_convolution_right`.
* This allows us to use `@[to_additive]` everywhere (which would not be possible if we would use
`mul`/`smul` in the integral, since `@[to_additive]` will incorrectly also try to additivize
those definitions).
* We need to support the case where at least one of the functions is vector-valued, but if we use
`smul` to multiply the functions, that would be an asymmetric definition.
# Main Definitions
* `MeasureTheory.convolution f g L μ x = (f ⋆[L, μ] g) x = ∫ t, L (f t) (g (x - t)) ∂μ`
is the convolution of `f` and `g` w.r.t. the continuous bilinear map `L` and measure `μ`.
* `MeasureTheory.ConvolutionExistsAt f g x L μ` states that the convolution `(f ⋆[L, μ] g) x`
is well-defined (i.e. the integral exists).
* `MeasureTheory.ConvolutionExists f g L μ` states that the convolution `f ⋆[L, μ] g`
is well-defined at each point.
# Main Results
* `HasCompactSupport.hasFDerivAt_convolution_right` and
`HasCompactSupport.hasFDerivAt_convolution_left`: we can compute the total derivative
of the convolution as a convolution with the total derivative of the right (left) function.
* `HasCompactSupport.contDiff_convolution_right` and
`HasCompactSupport.contDiff_convolution_left`: the convolution is `𝒞ⁿ` if one of the functions
is `𝒞ⁿ` with compact support and the other function in locally integrable.
Versions of these statements for functions depending on a parameter are also given.
* `MeasureTheory.convolution_tendsto_right`: Given a sequence of nonnegative normalized functions
whose support tends to a small neighborhood around `0`, the convolution tends to the right
argument. This is specialized to bump functions in `ContDiffBump.convolution_tendsto_right`.
# Notation
The following notations are localized in the locale `Convolution`:
* `f ⋆[L, μ] g` for the convolution. Note: you have to use parentheses to apply the convolution
to an argument: `(f ⋆[L, μ] g) x`.
* `f ⋆[L] g := f ⋆[L, volume] g`
* `f ⋆ g := f ⋆[lsmul ℝ ℝ] g`
# To do
* Existence and (uniform) continuity of the convolution if
one of the maps is in `ℒ^p` and the other in `ℒ^q` with `1 / p + 1 / q = 1`.
This might require a generalization of `MeasureTheory.MemLp.smul` where `smul` is generalized
to a continuous bilinear map.
(see e.g. [Fremlin, *Measure Theory* (volume 2)][fremlin_vol2], 255K)
* The convolution is an `AEStronglyMeasurable` function
(see e.g. [Fremlin, *Measure Theory* (volume 2)][fremlin_vol2], 255I).
* Prove properties about the convolution if both functions are rapidly decreasing.
* Use `@[to_additive]` everywhere (this likely requires changes in `to_additive`)
-/
open Set Function Filter MeasureTheory MeasureTheory.Measure TopologicalSpace
open Bornology ContinuousLinearMap Metric Topology
open scoped Pointwise NNReal Filter
universe u𝕜 uG uE uE' uE'' uF uF' uF'' uP
variable {𝕜 : Type u𝕜} {G : Type uG} {E : Type uE} {E' : Type uE'} {E'' : Type uE''} {F : Type uF}
{F' : Type uF'} {F'' : Type uF''} {P : Type uP}
variable [NormedAddCommGroup E] [NormedAddCommGroup E'] [NormedAddCommGroup E'']
[NormedAddCommGroup F] {f f' : G → E} {g g' : G → E'} {x x' : G} {y y' : E}
namespace MeasureTheory
section NontriviallyNormedField
variable [NontriviallyNormedField 𝕜]
variable [NormedSpace 𝕜 E] [NormedSpace 𝕜 E'] [NormedSpace 𝕜 E''] [NormedSpace 𝕜 F]
variable (L : E →L[𝕜] E' →L[𝕜] F)
section NoMeasurability
variable [AddGroup G] [TopologicalSpace G]
theorem convolution_integrand_bound_right_of_le_of_subset {C : ℝ} (hC : ∀ i, ‖g i‖ ≤ C) {x t : G}
{s u : Set G} (hx : x ∈ s) (hu : -tsupport g + s ⊆ u) :
‖L (f t) (g (x - t))‖ ≤ u.indicator (fun t => ‖L‖ * ‖f t‖ * C) t := by
-- Porting note: had to add `f := _`
refine le_indicator (f := fun t ↦ ‖L (f t) (g (x - t))‖) (fun t _ => ?_) (fun t ht => ?_) t
· apply_rules [L.le_of_opNorm₂_le_of_le, le_rfl]
· have : x - t ∉ support g := by
refine mt (fun hxt => hu ?_) ht
refine ⟨_, Set.neg_mem_neg.mpr (subset_closure hxt), _, hx, ?_⟩
simp only [neg_sub, sub_add_cancel]
simp only [nmem_support.mp this, (L _).map_zero, norm_zero, le_rfl]
theorem _root_.HasCompactSupport.convolution_integrand_bound_right_of_subset
(hcg : HasCompactSupport g) (hg : Continuous g)
{x t : G} {s u : Set G} (hx : x ∈ s) (hu : -tsupport g + s ⊆ u) :
‖L (f t) (g (x - t))‖ ≤ u.indicator (fun t => ‖L‖ * ‖f t‖ * ⨆ i, ‖g i‖) t := by
refine convolution_integrand_bound_right_of_le_of_subset _ (fun i => ?_) hx hu
exact le_ciSup (hg.norm.bddAbove_range_of_hasCompactSupport hcg.norm) _
theorem _root_.HasCompactSupport.convolution_integrand_bound_right (hcg : HasCompactSupport g)
(hg : Continuous g) {x t : G} {s : Set G} (hx : x ∈ s) :
‖L (f t) (g (x - t))‖ ≤ (-tsupport g + s).indicator (fun t => ‖L‖ * ‖f t‖ * ⨆ i, ‖g i‖) t :=
hcg.convolution_integrand_bound_right_of_subset L hg hx Subset.rfl
theorem _root_.Continuous.convolution_integrand_fst [ContinuousSub G] (hg : Continuous g) (t : G) :
Continuous fun x => L (f t) (g (x - t)) :=
L.continuous₂.comp₂ continuous_const <| hg.comp <| continuous_id.sub continuous_const
theorem _root_.HasCompactSupport.convolution_integrand_bound_left (hcf : HasCompactSupport f)
(hf : Continuous f) {x t : G} {s : Set G} (hx : x ∈ s) :
‖L (f (x - t)) (g t)‖ ≤
(-tsupport f + s).indicator (fun t => (‖L‖ * ⨆ i, ‖f i‖) * ‖g t‖) t := by
convert hcf.convolution_integrand_bound_right L.flip hf hx using 1
simp_rw [L.opNorm_flip, mul_right_comm]
end NoMeasurability
section Measurability
variable [MeasurableSpace G] {μ ν : Measure G}
/-- The convolution of `f` and `g` exists at `x` when the function `t ↦ L (f t) (g (x - t))` is
integrable. There are various conditions on `f` and `g` to prove this. -/
def ConvolutionExistsAt [Sub G] (f : G → E) (g : G → E') (x : G) (L : E →L[𝕜] E' →L[𝕜] F)
(μ : Measure G := by volume_tac) : Prop :=
Integrable (fun t => L (f t) (g (x - t))) μ
/-- The convolution of `f` and `g` exists when the function `t ↦ L (f t) (g (x - t))` is integrable
for all `x : G`. There are various conditions on `f` and `g` to prove this. -/
def ConvolutionExists [Sub G] (f : G → E) (g : G → E') (L : E →L[𝕜] E' →L[𝕜] F)
(μ : Measure G := by volume_tac) : Prop :=
∀ x : G, ConvolutionExistsAt f g x L μ
section ConvolutionExists
variable {L} in
theorem ConvolutionExistsAt.integrable [Sub G] {x : G} (h : ConvolutionExistsAt f g x L μ) :
Integrable (fun t => L (f t) (g (x - t))) μ :=
h
section Group
variable [AddGroup G]
theorem AEStronglyMeasurable.convolution_integrand' [MeasurableAdd₂ G]
[MeasurableNeg G] (hf : AEStronglyMeasurable f ν)
(hg : AEStronglyMeasurable g <| map (fun p : G × G => p.1 - p.2) (μ.prod ν)) :
AEStronglyMeasurable (fun p : G × G => L (f p.2) (g (p.1 - p.2))) (μ.prod ν) :=
L.aestronglyMeasurable_comp₂ hf.snd <| hg.comp_measurable measurable_sub
section
variable [MeasurableAdd G] [MeasurableNeg G]
theorem AEStronglyMeasurable.convolution_integrand_snd'
(hf : AEStronglyMeasurable f μ) {x : G}
(hg : AEStronglyMeasurable g <| map (fun t => x - t) μ) :
AEStronglyMeasurable (fun t => L (f t) (g (x - t))) μ :=
L.aestronglyMeasurable_comp₂ hf <| hg.comp_measurable <| measurable_id.const_sub x
theorem AEStronglyMeasurable.convolution_integrand_swap_snd' {x : G}
(hf : AEStronglyMeasurable f <| map (fun t => x - t) μ) (hg : AEStronglyMeasurable g μ) :
AEStronglyMeasurable (fun t => L (f (x - t)) (g t)) μ :=
L.aestronglyMeasurable_comp₂ (hf.comp_measurable <| measurable_id.const_sub x) hg
/-- A sufficient condition to prove that `f ⋆[L, μ] g` exists.
We assume that `f` is integrable on a set `s` and `g` is bounded and ae strongly measurable
on `x₀ - s` (note that both properties hold if `g` is continuous with compact support). -/
theorem _root_.BddAbove.convolutionExistsAt' {x₀ : G} {s : Set G}
(hbg : BddAbove ((fun i => ‖g i‖) '' ((fun t => -t + x₀) ⁻¹' s))) (hs : MeasurableSet s)
(h2s : (support fun t => L (f t) (g (x₀ - t))) ⊆ s) (hf : IntegrableOn f s μ)
(hmg : AEStronglyMeasurable g <| map (fun t => x₀ - t) (μ.restrict s)) :
ConvolutionExistsAt f g x₀ L μ := by
rw [ConvolutionExistsAt]
rw [← integrableOn_iff_integrable_of_support_subset h2s]
set s' := (fun t => -t + x₀) ⁻¹' s
have : ∀ᵐ t : G ∂μ.restrict s,
‖L (f t) (g (x₀ - t))‖ ≤ s.indicator (fun t => ‖L‖ * ‖f t‖ * ⨆ i : s', ‖g i‖) t := by
filter_upwards
refine le_indicator (fun t ht => ?_) fun t ht => ?_
· apply_rules [L.le_of_opNorm₂_le_of_le, le_rfl]
refine (le_ciSup_set hbg <| mem_preimage.mpr ?_)
rwa [neg_sub, sub_add_cancel]
· have : t ∉ support fun t => L (f t) (g (x₀ - t)) := mt (fun h => h2s h) ht
rw [nmem_support.mp this, norm_zero]
refine Integrable.mono' ?_ ?_ this
· rw [integrable_indicator_iff hs]; exact ((hf.norm.const_mul _).mul_const _).integrableOn
· exact hf.aestronglyMeasurable.convolution_integrand_snd' L hmg
/-- If `‖f‖ *[μ] ‖g‖` exists, then `f *[L, μ] g` exists. -/
theorem ConvolutionExistsAt.of_norm' {x₀ : G}
(h : ConvolutionExistsAt (fun x => ‖f x‖) (fun x => ‖g x‖) x₀ (mul ℝ ℝ) μ)
(hmf : AEStronglyMeasurable f μ) (hmg : AEStronglyMeasurable g <| map (fun t => x₀ - t) μ) :
ConvolutionExistsAt f g x₀ L μ := by
refine (h.const_mul ‖L‖).mono'
(hmf.convolution_integrand_snd' L hmg) (Eventually.of_forall fun x => ?_)
rw [mul_apply', ← mul_assoc]
apply L.le_opNorm₂
@[deprecated (since := "2025-02-07")]
alias ConvolutionExistsAt.ofNorm' := ConvolutionExistsAt.of_norm'
end
section Left
variable [MeasurableAdd₂ G] [MeasurableNeg G] [SFinite μ] [IsAddRightInvariant μ]
theorem AEStronglyMeasurable.convolution_integrand_snd (hf : AEStronglyMeasurable f μ)
(hg : AEStronglyMeasurable g μ) (x : G) :
AEStronglyMeasurable (fun t => L (f t) (g (x - t))) μ :=
hf.convolution_integrand_snd' L <|
hg.mono_ac <| (quasiMeasurePreserving_sub_left_of_right_invariant μ x).absolutelyContinuous
theorem AEStronglyMeasurable.convolution_integrand_swap_snd
(hf : AEStronglyMeasurable f μ) (hg : AEStronglyMeasurable g μ) (x : G) :
AEStronglyMeasurable (fun t => L (f (x - t)) (g t)) μ :=
(hf.mono_ac
(quasiMeasurePreserving_sub_left_of_right_invariant μ
x).absolutelyContinuous).convolution_integrand_swap_snd'
L hg
/-- If `‖f‖ *[μ] ‖g‖` exists, then `f *[L, μ] g` exists. -/
theorem ConvolutionExistsAt.of_norm {x₀ : G}
(h : ConvolutionExistsAt (fun x => ‖f x‖) (fun x => ‖g x‖) x₀ (mul ℝ ℝ) μ)
(hmf : AEStronglyMeasurable f μ) (hmg : AEStronglyMeasurable g μ) :
ConvolutionExistsAt f g x₀ L μ :=
h.of_norm' L hmf <|
hmg.mono_ac (quasiMeasurePreserving_sub_left_of_right_invariant μ x₀).absolutelyContinuous
@[deprecated (since := "2025-02-07")]
alias ConvolutionExistsAt.ofNorm := ConvolutionExistsAt.of_norm
end Left
section Right
variable [MeasurableAdd₂ G] [MeasurableNeg G] [SFinite μ] [IsAddRightInvariant μ] [SFinite ν]
theorem AEStronglyMeasurable.convolution_integrand (hf : AEStronglyMeasurable f ν)
(hg : AEStronglyMeasurable g μ) :
AEStronglyMeasurable (fun p : G × G => L (f p.2) (g (p.1 - p.2))) (μ.prod ν) :=
hf.convolution_integrand' L <|
hg.mono_ac (quasiMeasurePreserving_sub_of_right_invariant μ ν).absolutelyContinuous
theorem Integrable.convolution_integrand (hf : Integrable f ν) (hg : Integrable g μ) :
Integrable (fun p : G × G => L (f p.2) (g (p.1 - p.2))) (μ.prod ν) := by
have h_meas : AEStronglyMeasurable (fun p : G × G => L (f p.2) (g (p.1 - p.2))) (μ.prod ν) :=
hf.aestronglyMeasurable.convolution_integrand L hg.aestronglyMeasurable
have h2_meas : AEStronglyMeasurable (fun y : G => ∫ x : G, ‖L (f y) (g (x - y))‖ ∂μ) ν :=
h_meas.prod_swap.norm.integral_prod_right'
simp_rw [integrable_prod_iff' h_meas]
refine ⟨Eventually.of_forall fun t => (L (f t)).integrable_comp (hg.comp_sub_right t), ?_⟩
refine Integrable.mono' ?_ h2_meas
(Eventually.of_forall fun t => (?_ : _ ≤ ‖L‖ * ‖f t‖ * ∫ x, ‖g (x - t)‖ ∂μ))
· simp only [integral_sub_right_eq_self (‖g ·‖)]
exact (hf.norm.const_mul _).mul_const _
· simp_rw [← integral_const_mul]
rw [Real.norm_of_nonneg (by positivity)]
exact integral_mono_of_nonneg (Eventually.of_forall fun t => norm_nonneg _)
((hg.comp_sub_right t).norm.const_mul _) (Eventually.of_forall fun t => L.le_opNorm₂ _ _)
theorem Integrable.ae_convolution_exists (hf : Integrable f ν) (hg : Integrable g μ) :
∀ᵐ x ∂μ, ConvolutionExistsAt f g x L ν :=
((integrable_prod_iff <|
hf.aestronglyMeasurable.convolution_integrand L hg.aestronglyMeasurable).mp <|
hf.convolution_integrand L hg).1
end Right
variable [TopologicalSpace G] [IsTopologicalAddGroup G] [BorelSpace G]
theorem _root_.HasCompactSupport.convolutionExistsAt {x₀ : G}
(h : HasCompactSupport fun t => L (f t) (g (x₀ - t))) (hf : LocallyIntegrable f μ)
(hg : Continuous g) : ConvolutionExistsAt f g x₀ L μ := by
let u := (Homeomorph.neg G).trans (Homeomorph.addRight x₀)
let v := (Homeomorph.neg G).trans (Homeomorph.addLeft x₀)
apply ((u.isCompact_preimage.mpr h).bddAbove_image hg.norm.continuousOn).convolutionExistsAt' L
isClosed_closure.measurableSet subset_closure (hf.integrableOn_isCompact h)
have A : AEStronglyMeasurable (g ∘ v)
(μ.restrict (tsupport fun t : G => L (f t) (g (x₀ - t)))) := by
apply (hg.comp v.continuous).continuousOn.aestronglyMeasurable_of_isCompact h
exact (isClosed_tsupport _).measurableSet
convert ((v.continuous.measurable.measurePreserving
(μ.restrict (tsupport fun t => L (f t) (g (x₀ - t))))).aestronglyMeasurable_comp_iff
v.measurableEmbedding).1 A
ext x
simp only [v, Homeomorph.neg, sub_eq_add_neg, val_toAddUnits_apply, Homeomorph.trans_apply,
Equiv.neg_apply, Equiv.toFun_as_coe, Homeomorph.homeomorph_mk_coe, Equiv.coe_fn_mk,
Homeomorph.coe_addLeft]
theorem _root_.HasCompactSupport.convolutionExists_right (hcg : HasCompactSupport g)
(hf : LocallyIntegrable f μ) (hg : Continuous g) : ConvolutionExists f g L μ := by
intro x₀
refine HasCompactSupport.convolutionExistsAt L ?_ hf hg
refine (hcg.comp_homeomorph (Homeomorph.subLeft x₀)).mono ?_
refine fun t => mt fun ht : g (x₀ - t) = 0 => ?_
simp_rw [ht, (L _).map_zero]
theorem _root_.HasCompactSupport.convolutionExists_left_of_continuous_right
(hcf : HasCompactSupport f) (hf : LocallyIntegrable f μ) (hg : Continuous g) :
ConvolutionExists f g L μ := by
intro x₀
refine HasCompactSupport.convolutionExistsAt L ?_ hf hg
refine hcf.mono ?_
refine fun t => mt fun ht : f t = 0 => ?_
simp_rw [ht, L.map_zero₂]
end Group
section CommGroup
variable [AddCommGroup G]
section MeasurableGroup
variable [MeasurableNeg G] [IsAddLeftInvariant μ]
/-- A sufficient condition to prove that `f ⋆[L, μ] g` exists.
We assume that the integrand has compact support and `g` is bounded on this support (note that
both properties hold if `g` is continuous with compact support). We also require that `f` is
integrable on the support of the integrand, and that both functions are strongly measurable.
This is a variant of `BddAbove.convolutionExistsAt'` in an abelian group with a left-invariant
measure. This allows us to state the boundedness and measurability of `g` in a more natural way. -/
theorem _root_.BddAbove.convolutionExistsAt [MeasurableAdd₂ G] [SFinite μ] {x₀ : G} {s : Set G}
(hbg : BddAbove ((fun i => ‖g i‖) '' ((fun t => x₀ - t) ⁻¹' s))) (hs : MeasurableSet s)
(h2s : (support fun t => L (f t) (g (x₀ - t))) ⊆ s) (hf : IntegrableOn f s μ)
(hmg : AEStronglyMeasurable g μ) : ConvolutionExistsAt f g x₀ L μ := by
refine BddAbove.convolutionExistsAt' L ?_ hs h2s hf ?_
· simp_rw [← sub_eq_neg_add, hbg]
· have : AEStronglyMeasurable g (map (fun t : G => x₀ - t) μ) :=
hmg.mono_ac (quasiMeasurePreserving_sub_left_of_right_invariant μ x₀).absolutelyContinuous
apply this.mono_measure
exact map_mono restrict_le_self (measurable_const.sub measurable_id')
variable {L} [MeasurableAdd G] [IsNegInvariant μ]
theorem convolutionExistsAt_flip :
ConvolutionExistsAt g f x L.flip μ ↔ ConvolutionExistsAt f g x L μ := by
simp_rw [ConvolutionExistsAt, ← integrable_comp_sub_left (fun t => L (f t) (g (x - t))) x,
sub_sub_cancel, flip_apply]
theorem ConvolutionExistsAt.integrable_swap (h : ConvolutionExistsAt f g x L μ) :
Integrable (fun t => L (f (x - t)) (g t)) μ := by
convert h.comp_sub_left x
simp_rw [sub_sub_self]
theorem convolutionExistsAt_iff_integrable_swap :
ConvolutionExistsAt f g x L μ ↔ Integrable (fun t => L (f (x - t)) (g t)) μ :=
convolutionExistsAt_flip.symm
end MeasurableGroup
variable [TopologicalSpace G] [IsTopologicalAddGroup G] [BorelSpace G]
variable [IsAddLeftInvariant μ] [IsNegInvariant μ]
theorem _root_.HasCompactSupport.convolutionExists_left
(hcf : HasCompactSupport f) (hf : Continuous f)
(hg : LocallyIntegrable g μ) : ConvolutionExists f g L μ := fun x₀ =>
convolutionExistsAt_flip.mp <| hcf.convolutionExists_right L.flip hg hf x₀
@[deprecated (since := "2025-02-06")]
alias _root_.HasCompactSupport.convolutionExistsLeft := HasCompactSupport.convolutionExists_left
theorem _root_.HasCompactSupport.convolutionExists_right_of_continuous_left
(hcg : HasCompactSupport g) (hf : Continuous f) (hg : LocallyIntegrable g μ) :
ConvolutionExists f g L μ := fun x₀ =>
convolutionExistsAt_flip.mp <| hcg.convolutionExists_left_of_continuous_right L.flip hg hf x₀
@[deprecated (since := "2025-02-06")]
alias _root_.HasCompactSupport.convolutionExistsRightOfContinuousLeft :=
HasCompactSupport.convolutionExists_right_of_continuous_left
end CommGroup
end ConvolutionExists
variable [NormedSpace ℝ F]
/-- The convolution of two functions `f` and `g` with respect to a continuous bilinear map `L` and
measure `μ`. It is defined to be `(f ⋆[L, μ] g) x = ∫ t, L (f t) (g (x - t)) ∂μ`. -/
noncomputable def convolution [Sub G] (f : G → E) (g : G → E') (L : E →L[𝕜] E' →L[𝕜] F)
(μ : Measure G := by volume_tac) : G → F := fun x =>
∫ t, L (f t) (g (x - t)) ∂μ
/-- The convolution of two functions with respect to a bilinear operation `L` and a measure `μ`. -/
scoped[Convolution] notation:67 f " ⋆[" L:67 ", " μ:67 "] " g:66 => convolution f g L μ
/-- The convolution of two functions with respect to a bilinear operation `L` and the volume. -/
scoped[Convolution]
notation:67 f " ⋆[" L:67 "]" g:66 => convolution f g L MeasureSpace.volume
/-- The convolution of two real-valued functions with respect to volume. -/
scoped[Convolution]
notation:67 f " ⋆ " g:66 =>
convolution f g (ContinuousLinearMap.lsmul ℝ ℝ) MeasureSpace.volume
open scoped Convolution
theorem convolution_def [Sub G] : (f ⋆[L, μ] g) x = ∫ t, L (f t) (g (x - t)) ∂μ :=
rfl
/-- The definition of convolution where the bilinear operator is scalar multiplication.
Note: it often helps the elaborator to give the type of the convolution explicitly. -/
theorem convolution_lsmul [Sub G] {f : G → 𝕜} {g : G → F} :
(f ⋆[lsmul 𝕜 𝕜, μ] g : G → F) x = ∫ t, f t • g (x - t) ∂μ :=
rfl
/-- The definition of convolution where the bilinear operator is multiplication. -/
theorem convolution_mul [Sub G] [NormedSpace ℝ 𝕜] {f : G → 𝕜} {g : G → 𝕜} :
(f ⋆[mul 𝕜 𝕜, μ] g) x = ∫ t, f t * g (x - t) ∂μ :=
rfl
section Group
variable {L} [AddGroup G]
theorem smul_convolution [SMulCommClass ℝ 𝕜 F] {y : 𝕜} : y • f ⋆[L, μ] g = y • (f ⋆[L, μ] g) := by
ext; simp only [Pi.smul_apply, convolution_def, ← integral_smul, L.map_smul₂]
theorem convolution_smul [SMulCommClass ℝ 𝕜 F] {y : 𝕜} : f ⋆[L, μ] y • g = y • (f ⋆[L, μ] g) := by
ext; simp only [Pi.smul_apply, convolution_def, ← integral_smul, (L _).map_smul]
@[simp]
theorem zero_convolution : 0 ⋆[L, μ] g = 0 := by
ext
simp_rw [convolution_def, Pi.zero_apply, L.map_zero₂, integral_zero]
@[simp]
theorem convolution_zero : f ⋆[L, μ] 0 = 0 := by
ext
simp_rw [convolution_def, Pi.zero_apply, (L _).map_zero, integral_zero]
theorem ConvolutionExistsAt.distrib_add {x : G} (hfg : ConvolutionExistsAt f g x L μ)
(hfg' : ConvolutionExistsAt f g' x L μ) :
(f ⋆[L, μ] (g + g')) x = (f ⋆[L, μ] g) x + (f ⋆[L, μ] g') x := by
simp only [convolution_def, (L _).map_add, Pi.add_apply, integral_add hfg hfg']
theorem ConvolutionExists.distrib_add (hfg : ConvolutionExists f g L μ)
(hfg' : ConvolutionExists f g' L μ) : f ⋆[L, μ] (g + g') = f ⋆[L, μ] g + f ⋆[L, μ] g' := by
ext x
exact (hfg x).distrib_add (hfg' x)
theorem ConvolutionExistsAt.add_distrib {x : G} (hfg : ConvolutionExistsAt f g x L μ)
(hfg' : ConvolutionExistsAt f' g x L μ) :
((f + f') ⋆[L, μ] g) x = (f ⋆[L, μ] g) x + (f' ⋆[L, μ] g) x := by
simp only [convolution_def, L.map_add₂, Pi.add_apply, integral_add hfg hfg']
theorem ConvolutionExists.add_distrib (hfg : ConvolutionExists f g L μ)
(hfg' : ConvolutionExists f' g L μ) : (f + f') ⋆[L, μ] g = f ⋆[L, μ] g + f' ⋆[L, μ] g := by
ext x
exact (hfg x).add_distrib (hfg' x)
theorem convolution_mono_right {f g g' : G → ℝ} (hfg : ConvolutionExistsAt f g x (lsmul ℝ ℝ) μ)
(hfg' : ConvolutionExistsAt f g' x (lsmul ℝ ℝ) μ) (hf : ∀ x, 0 ≤ f x) (hg : ∀ x, g x ≤ g' x) :
(f ⋆[lsmul ℝ ℝ, μ] g) x ≤ (f ⋆[lsmul ℝ ℝ, μ] g') x := by
apply integral_mono hfg hfg'
simp only [lsmul_apply, Algebra.id.smul_eq_mul]
intro t
apply mul_le_mul_of_nonneg_left (hg _) (hf _)
theorem convolution_mono_right_of_nonneg {f g g' : G → ℝ}
(hfg' : ConvolutionExistsAt f g' x (lsmul ℝ ℝ) μ) (hf : ∀ x, 0 ≤ f x) (hg : ∀ x, g x ≤ g' x)
(hg' : ∀ x, 0 ≤ g' x) : (f ⋆[lsmul ℝ ℝ, μ] g) x ≤ (f ⋆[lsmul ℝ ℝ, μ] g') x := by
by_cases H : ConvolutionExistsAt f g x (lsmul ℝ ℝ) μ
· exact convolution_mono_right H hfg' hf hg
have : (f ⋆[lsmul ℝ ℝ, μ] g) x = 0 := integral_undef H
rw [this]
exact integral_nonneg fun y => mul_nonneg (hf y) (hg' (x - y))
variable (L)
theorem convolution_congr [MeasurableAdd₂ G] [MeasurableNeg G] [SFinite μ]
[IsAddRightInvariant μ] (h1 : f =ᵐ[μ] f') (h2 : g =ᵐ[μ] g') : f ⋆[L, μ] g = f' ⋆[L, μ] g' := by
ext x
apply integral_congr_ae
exact (h1.prodMk <| h2.comp_tendsto
(quasiMeasurePreserving_sub_left_of_right_invariant μ x).tendsto_ae).fun_comp ↿fun x y ↦ L x y
theorem support_convolution_subset_swap : support (f ⋆[L, μ] g) ⊆ support g + support f := by
intro x h2x
by_contra hx
apply h2x
simp_rw [Set.mem_add, ← exists_and_left, not_exists, not_and_or, nmem_support] at hx
rw [convolution_def]
convert integral_zero G F using 2
ext t
rcases hx (x - t) t with (h | h | h)
· rw [h, (L _).map_zero]
· rw [h, L.map_zero₂]
· exact (h <| sub_add_cancel x t).elim
section
variable [MeasurableAdd₂ G] [MeasurableNeg G] [SFinite μ] [IsAddRightInvariant μ]
theorem Integrable.integrable_convolution (hf : Integrable f μ)
(hg : Integrable g μ) : Integrable (f ⋆[L, μ] g) μ :=
(hf.convolution_integrand L hg).integral_prod_left
end
variable [TopologicalSpace G]
variable [IsTopologicalAddGroup G]
protected theorem _root_.HasCompactSupport.convolution [T2Space G] (hcf : HasCompactSupport f)
(hcg : HasCompactSupport g) : HasCompactSupport (f ⋆[L, μ] g) :=
(hcg.isCompact.add hcf).of_isClosed_subset isClosed_closure <|
closure_minimal
((support_convolution_subset_swap L).trans <| add_subset_add subset_closure subset_closure)
(hcg.isCompact.add hcf).isClosed
variable [BorelSpace G] [TopologicalSpace P]
/-- The convolution `f * g` is continuous if `f` is locally integrable and `g` is continuous and
compactly supported. Version where `g` depends on an additional parameter in a subset `s` of
a parameter space `P` (and the compact support `k` is independent of the parameter in `s`). -/
theorem continuousOn_convolution_right_with_param {g : P → G → E'} {s : Set P} {k : Set G}
(hk : IsCompact k) (hgs : ∀ p, ∀ x, p ∈ s → x ∉ k → g p x = 0)
(hf : LocallyIntegrable f μ) (hg : ContinuousOn (↿g) (s ×ˢ univ)) :
ContinuousOn (fun q : P × G => (f ⋆[L, μ] g q.1) q.2) (s ×ˢ univ) := by
/- First get rid of the case where the space is not locally compact. Then `g` vanishes everywhere
and the conclusion is trivial. -/
by_cases H : ∀ p ∈ s, ∀ x, g p x = 0
· apply (continuousOn_const (c := 0)).congr
rintro ⟨p, x⟩ ⟨hp, -⟩
apply integral_eq_zero_of_ae (Eventually.of_forall (fun y ↦ ?_))
simp [H p hp _]
have : LocallyCompactSpace G := by
push_neg at H
rcases H with ⟨p, hp, x, hx⟩
have A : support (g p) ⊆ k := support_subset_iff'.2 (fun y hy ↦ hgs p y hp hy)
have B : Continuous (g p) := by
refine hg.comp_continuous (.prodMk_right _) fun x => ?_
simpa only [prodMk_mem_set_prod_eq, mem_univ, and_true] using hp
rcases eq_zero_or_locallyCompactSpace_of_support_subset_isCompact_of_addGroup hk A B with H|H
· simp [H] at hx
· exact H
/- Since `G` is locally compact, one may thicken `k` a little bit into a larger compact set
`(-k) + t`, outside of which all functions that appear in the convolution vanish. Then we can
apply a continuity statement for integrals depending on a parameter, with respect to
locally integrable functions and compactly supported continuous functions. -/
rintro ⟨q₀, x₀⟩ ⟨hq₀, -⟩
obtain ⟨t, t_comp, ht⟩ : ∃ t, IsCompact t ∧ t ∈ 𝓝 x₀ := exists_compact_mem_nhds x₀
let k' : Set G := (-k) +ᵥ t
have k'_comp : IsCompact k' := IsCompact.vadd_set hk.neg t_comp
let g' : (P × G) → G → E' := fun p x ↦ g p.1 (p.2 - x)
let s' : Set (P × G) := s ×ˢ t
have A : ContinuousOn g'.uncurry (s' ×ˢ univ) := by
have : g'.uncurry = g.uncurry ∘ (fun w ↦ (w.1.1, w.1.2 - w.2)) := by ext y; rfl
rw [this]
refine hg.comp (by fun_prop) ?_
simp +contextual [s', MapsTo]
have B : ContinuousOn (fun a ↦ ∫ x, L (f x) (g' a x) ∂μ) s' := by
apply continuousOn_integral_bilinear_of_locally_integrable_of_compact_support L k'_comp A _
(hf.integrableOn_isCompact k'_comp)
rintro ⟨p, x⟩ y ⟨hp, hx⟩ hy
apply hgs p _ hp
contrapose! hy
exact ⟨y - x, by simpa using hy, x, hx, by simp⟩
apply ContinuousWithinAt.mono_of_mem_nhdsWithin (B (q₀, x₀) ⟨hq₀, mem_of_mem_nhds ht⟩)
exact mem_nhdsWithin_prod_iff.2 ⟨s, self_mem_nhdsWithin, t, nhdsWithin_le_nhds ht, Subset.rfl⟩
/-- The convolution `f * g` is continuous if `f` is locally integrable and `g` is continuous and
compactly supported. Version where `g` depends on an additional parameter in an open subset `s` of
a parameter space `P` (and the compact support `k` is independent of the parameter in `s`),
given in terms of compositions with an additional continuous map. -/
theorem continuousOn_convolution_right_with_param_comp {s : Set P} {v : P → G}
(hv : ContinuousOn v s) {g : P → G → E'} {k : Set G} (hk : IsCompact k)
(hgs : ∀ p, ∀ x, p ∈ s → x ∉ k → g p x = 0) (hf : LocallyIntegrable f μ)
(hg : ContinuousOn (↿g) (s ×ˢ univ)) : ContinuousOn (fun x => (f ⋆[L, μ] g x) (v x)) s := by
apply
(continuousOn_convolution_right_with_param L hk hgs hf hg).comp (continuousOn_id.prodMk hv)
intro x hx
simp only [hx, prodMk_mem_set_prod_eq, mem_univ, and_self_iff, _root_.id]
/-- The convolution is continuous if one function is locally integrable and the other has compact
support and is continuous. -/
theorem _root_.HasCompactSupport.continuous_convolution_right (hcg : HasCompactSupport g)
(hf : LocallyIntegrable f μ) (hg : Continuous g) : Continuous (f ⋆[L, μ] g) := by
rw [continuous_iff_continuousOn_univ]
let g' : G → G → E' := fun _ q => g q
have : ContinuousOn (↿g') (univ ×ˢ univ) := (hg.comp continuous_snd).continuousOn
exact continuousOn_convolution_right_with_param_comp L
(continuous_iff_continuousOn_univ.1 continuous_id) hcg
(fun p x _ hx => image_eq_zero_of_nmem_tsupport hx) hf this
/-- The convolution is continuous if one function is integrable and the other is bounded and
continuous. -/
theorem _root_.BddAbove.continuous_convolution_right_of_integrable
[FirstCountableTopology G] [SecondCountableTopologyEither G E']
(hbg : BddAbove (range fun x => ‖g x‖)) (hf : Integrable f μ) (hg : Continuous g) :
Continuous (f ⋆[L, μ] g) := by
refine continuous_iff_continuousAt.mpr fun x₀ => ?_
have : ∀ᶠ x in 𝓝 x₀, ∀ᵐ t : G ∂μ, ‖L (f t) (g (x - t))‖ ≤ ‖L‖ * ‖f t‖ * ⨆ i, ‖g i‖ := by
filter_upwards with x; filter_upwards with t
apply_rules [L.le_of_opNorm₂_le_of_le, le_rfl, le_ciSup hbg (x - t)]
refine continuousAt_of_dominated ?_ this ?_ ?_
· exact Eventually.of_forall fun x =>
hf.aestronglyMeasurable.convolution_integrand_snd' L hg.aestronglyMeasurable
· exact (hf.norm.const_mul _).mul_const _
· exact Eventually.of_forall fun t => (L.continuous₂.comp₂ continuous_const <|
hg.comp <| continuous_id.sub continuous_const).continuousAt
end Group
section CommGroup
variable [AddCommGroup G]
theorem support_convolution_subset : support (f ⋆[L, μ] g) ⊆ support f + support g :=
(support_convolution_subset_swap L).trans (add_comm _ _).subset
variable [IsAddLeftInvariant μ] [IsNegInvariant μ]
section Measurable
variable [MeasurableNeg G]
variable [MeasurableAdd G]
/-- Commutativity of convolution -/
theorem convolution_flip : g ⋆[L.flip, μ] f = f ⋆[L, μ] g := by
ext1 x
simp_rw [convolution_def]
rw [← integral_sub_left_eq_self _ μ x]
simp_rw [sub_sub_self, flip_apply]
/-- The symmetric definition of convolution. -/
theorem convolution_eq_swap : (f ⋆[L, μ] g) x = ∫ t, L (f (x - t)) (g t) ∂μ := by
rw [← convolution_flip]; rfl
/-- The symmetric definition of convolution where the bilinear operator is scalar multiplication. -/
theorem convolution_lsmul_swap {f : G → 𝕜} {g : G → F} :
(f ⋆[lsmul 𝕜 𝕜, μ] g : G → F) x = ∫ t, f (x - t) • g t ∂μ :=
convolution_eq_swap _
/-- The symmetric definition of convolution where the bilinear operator is multiplication. -/
theorem convolution_mul_swap [NormedSpace ℝ 𝕜] {f : G → 𝕜} {g : G → 𝕜} :
(f ⋆[mul 𝕜 𝕜, μ] g) x = ∫ t, f (x - t) * g t ∂μ :=
convolution_eq_swap _
/-- The convolution of two even functions is also even. -/
theorem convolution_neg_of_neg_eq (h1 : ∀ᵐ x ∂μ, f (-x) = f x) (h2 : ∀ᵐ x ∂μ, g (-x) = g x) :
(f ⋆[L, μ] g) (-x) = (f ⋆[L, μ] g) x :=
calc
∫ t : G, (L (f t)) (g (-x - t)) ∂μ = ∫ t : G, (L (f (-t))) (g (x + t)) ∂μ := by
apply integral_congr_ae
filter_upwards [h1, (eventually_add_left_iff μ x).2 h2] with t ht h't
simp_rw [ht, ← h't, neg_add']
_ = ∫ t : G, (L (f t)) (g (x - t)) ∂μ := by
rw [← integral_neg_eq_self]
simp only [neg_neg, ← sub_eq_add_neg]
end Measurable
variable [TopologicalSpace G]
variable [IsTopologicalAddGroup G]
variable [BorelSpace G]
theorem _root_.HasCompactSupport.continuous_convolution_left
(hcf : HasCompactSupport f) (hf : Continuous f) (hg : LocallyIntegrable g μ) :
Continuous (f ⋆[L, μ] g) := by
rw [← convolution_flip]
exact hcf.continuous_convolution_right L.flip hg hf
theorem _root_.BddAbove.continuous_convolution_left_of_integrable
[FirstCountableTopology G] [SecondCountableTopologyEither G E]
(hbf : BddAbove (range fun x => ‖f x‖)) (hf : Continuous f) (hg : Integrable g μ) :
Continuous (f ⋆[L, μ] g) := by
rw [← convolution_flip]
exact hbf.continuous_convolution_right_of_integrable L.flip hg hf
end CommGroup
section NormedAddCommGroup
variable [SeminormedAddCommGroup G]
/-- Compute `(f ⋆ g) x₀` if the support of the `f` is within `Metric.ball 0 R`, and `g` is constant
on `Metric.ball x₀ R`.
We can simplify the RHS further if we assume `f` is integrable, but also if `L = (•)` or more
generally if `L` has an `AntilipschitzWith`-condition. -/
theorem convolution_eq_right' {x₀ : G} {R : ℝ} (hf : support f ⊆ ball (0 : G) R)
(hg : ∀ x ∈ ball x₀ R, g x = g x₀) : (f ⋆[L, μ] g) x₀ = ∫ t, L (f t) (g x₀) ∂μ := by
have h2 : ∀ t, L (f t) (g (x₀ - t)) = L (f t) (g x₀) := fun t ↦ by
by_cases ht : t ∈ support f
· have h2t := hf ht
rw [mem_ball_zero_iff] at h2t
specialize hg (x₀ - t)
rw [sub_eq_add_neg, add_mem_ball_iff_norm, norm_neg, ← sub_eq_add_neg] at hg
rw [hg h2t]
· rw [nmem_support] at ht
simp_rw [ht, L.map_zero₂]
simp_rw [convolution_def, h2]
variable [BorelSpace G] [SecondCountableTopology G]
variable [IsAddLeftInvariant μ] [SFinite μ]
/-- Approximate `(f ⋆ g) x₀` if the support of the `f` is bounded within a ball, and `g` is near
`g x₀` on a ball with the same radius around `x₀`. See `dist_convolution_le` for a special case.
We can simplify the second argument of `dist` further if we add some extra type-classes on `E`
and `𝕜` or if `L` is scalar multiplication. -/
theorem dist_convolution_le' {x₀ : G} {R ε : ℝ} {z₀ : E'} (hε : 0 ≤ ε) (hif : Integrable f μ)
(hf : support f ⊆ ball (0 : G) R) (hmg : AEStronglyMeasurable g μ)
(hg : ∀ x ∈ ball x₀ R, dist (g x) z₀ ≤ ε) :
dist ((f ⋆[L, μ] g : G → F) x₀) (∫ t, L (f t) z₀ ∂μ) ≤ (‖L‖ * ∫ x, ‖f x‖ ∂μ) * ε := by
have hfg : ConvolutionExistsAt f g x₀ L μ := by
refine BddAbove.convolutionExistsAt L ?_ Metric.isOpen_ball.measurableSet (Subset.trans ?_ hf)
hif.integrableOn hmg
swap; · refine fun t => mt fun ht : f t = 0 => ?_; simp_rw [ht, L.map_zero₂]
rw [bddAbove_def]
refine ⟨‖z₀‖ + ε, ?_⟩
rintro _ ⟨x, hx, rfl⟩
refine norm_le_norm_add_const_of_dist_le (hg x ?_)
rwa [mem_ball_iff_norm, norm_sub_rev, ← mem_ball_zero_iff]
have h2 : ∀ t, dist (L (f t) (g (x₀ - t))) (L (f t) z₀) ≤ ‖L (f t)‖ * ε := by
intro t; by_cases ht : t ∈ support f
· have h2t := hf ht
rw [mem_ball_zero_iff] at h2t
specialize hg (x₀ - t)
rw [sub_eq_add_neg, add_mem_ball_iff_norm, norm_neg, ← sub_eq_add_neg] at hg
refine ((L (f t)).dist_le_opNorm _ _).trans ?_
exact mul_le_mul_of_nonneg_left (hg h2t) (norm_nonneg _)
· rw [nmem_support] at ht
simp_rw [ht, L.map_zero₂, L.map_zero, norm_zero, zero_mul, dist_self]
rfl
simp_rw [convolution_def]
simp_rw [dist_eq_norm] at h2 ⊢
rw [← integral_sub hfg.integrable]; swap; · exact (L.flip z₀).integrable_comp hif
refine (norm_integral_le_of_norm_le ((L.integrable_comp hif).norm.mul_const ε)
(Eventually.of_forall h2)).trans ?_
rw [integral_mul_const]
refine mul_le_mul_of_nonneg_right ?_ hε
have h3 : ∀ t, ‖L (f t)‖ ≤ ‖L‖ * ‖f t‖ := by
intro t
exact L.le_opNorm (f t)
refine (integral_mono (L.integrable_comp hif).norm (hif.norm.const_mul _) h3).trans_eq ?_
rw [integral_const_mul]
variable [NormedSpace ℝ E] [NormedSpace ℝ E'] [CompleteSpace E']
/-- Approximate `f ⋆ g` if the support of the `f` is bounded within a ball, and `g` is near `g x₀`
on a ball with the same radius around `x₀`.
This is a special case of `dist_convolution_le'` where `L` is `(•)`, `f` has integral 1 and `f` is
nonnegative. -/
theorem dist_convolution_le {f : G → ℝ} {x₀ : G} {R ε : ℝ} {z₀ : E'} (hε : 0 ≤ ε)
(hf : support f ⊆ ball (0 : G) R) (hnf : ∀ x, 0 ≤ f x) (hintf : ∫ x, f x ∂μ = 1)
(hmg : AEStronglyMeasurable g μ) (hg : ∀ x ∈ ball x₀ R, dist (g x) z₀ ≤ ε) :
dist ((f ⋆[lsmul ℝ ℝ, μ] g : G → E') x₀) z₀ ≤ ε := by
have hif : Integrable f μ := integrable_of_integral_eq_one hintf
convert (dist_convolution_le' (lsmul ℝ ℝ) hε hif hf hmg hg).trans _
· simp_rw [lsmul_apply, integral_smul_const, hintf, one_smul]
· simp_rw [Real.norm_of_nonneg (hnf _), hintf, mul_one]
exact (mul_le_mul_of_nonneg_right opNorm_lsmul_le hε).trans_eq (one_mul ε)
/-- `(φ i ⋆ g i) (k i)` tends to `z₀` as `i` tends to some filter `l` if
* `φ` is a sequence of nonnegative functions with integral `1` as `i` tends to `l`;
* The support of `φ` tends to small neighborhoods around `(0 : G)` as `i` tends to `l`;
* `g i` is `mu`-a.e. strongly measurable as `i` tends to `l`;
* `g i x` tends to `z₀` as `(i, x)` tends to `l ×ˢ 𝓝 x₀`;
* `k i` tends to `x₀`.
See also `ContDiffBump.convolution_tendsto_right`.
-/
theorem convolution_tendsto_right {ι} {g : ι → G → E'} {l : Filter ι} {x₀ : G} {z₀ : E'}
{φ : ι → G → ℝ} {k : ι → G} (hnφ : ∀ᶠ i in l, ∀ x, 0 ≤ φ i x)
(hiφ : ∀ᶠ i in l, ∫ x, φ i x ∂μ = 1)
-- todo: we could weaken this to "the integral tends to 1"
(hφ : Tendsto (fun n => support (φ n)) l (𝓝 0).smallSets)
(hmg : ∀ᶠ i in l, AEStronglyMeasurable (g i) μ) (hcg : Tendsto (uncurry g) (l ×ˢ 𝓝 x₀) (𝓝 z₀))
(hk : Tendsto k l (𝓝 x₀)) :
Tendsto (fun i : ι => (φ i ⋆[lsmul ℝ ℝ, μ] g i : G → E') (k i)) l (𝓝 z₀) := by
simp_rw [tendsto_smallSets_iff] at hφ
rw [Metric.tendsto_nhds] at hcg ⊢
simp_rw [Metric.eventually_prod_nhds_iff] at hcg
intro ε hε
have h2ε : 0 < ε / 3 := div_pos hε (by norm_num)
obtain ⟨p, hp, δ, hδ, hgδ⟩ := hcg _ h2ε
dsimp only [uncurry] at hgδ
have h2k := hk.eventually (ball_mem_nhds x₀ <| half_pos hδ)
have h2φ := hφ (ball (0 : G) _) <| ball_mem_nhds _ (half_pos hδ)
filter_upwards [hp, h2k, h2φ, hnφ, hiφ, hmg] with i hpi hki hφi hnφi hiφi hmgi
have hgi : dist (g i (k i)) z₀ < ε / 3 := hgδ hpi (hki.trans <| half_lt_self hδ)
have h1 : ∀ x' ∈ ball (k i) (δ / 2), dist (g i x') (g i (k i)) ≤ ε / 3 + ε / 3 := by
intro x' hx'
refine (dist_triangle_right _ _ _).trans (add_le_add (hgδ hpi ?_).le hgi.le)
exact ((dist_triangle _ _ _).trans_lt (add_lt_add hx'.out hki)).trans_eq (add_halves δ)
have := dist_convolution_le (add_pos h2ε h2ε).le hφi hnφi hiφi hmgi h1
refine ((dist_triangle _ _ _).trans_lt (add_lt_add_of_le_of_lt this hgi)).trans_eq ?_
field_simp; ring_nf
end NormedAddCommGroup
end Measurability
end NontriviallyNormedField
open scoped Convolution
section RCLike
variable [RCLike 𝕜]
variable [NormedSpace 𝕜 E]
variable [NormedSpace 𝕜 E']
variable [NormedSpace 𝕜 E'']
variable [NormedSpace ℝ F] [NormedSpace 𝕜 F]
variable {n : ℕ∞}
variable [MeasurableSpace G] {μ ν : Measure G}
variable (L : E →L[𝕜] E' →L[𝕜] F)
section Assoc
variable [CompleteSpace F]
variable [NormedAddCommGroup F'] [NormedSpace ℝ F'] [NormedSpace 𝕜 F'] [CompleteSpace F']
variable [NormedAddCommGroup F''] [NormedSpace ℝ F''] [NormedSpace 𝕜 F''] [CompleteSpace F'']
variable {k : G → E''}
variable (L₂ : F →L[𝕜] E'' →L[𝕜] F')
variable (L₃ : E →L[𝕜] F'' →L[𝕜] F')
variable (L₄ : E' →L[𝕜] E'' →L[𝕜] F'')
variable [AddGroup G]
variable [SFinite μ] [SFinite ν] [IsAddRightInvariant μ]
theorem integral_convolution [MeasurableAdd₂ G] [MeasurableNeg G] [NormedSpace ℝ E]
[NormedSpace ℝ E'] [CompleteSpace E] [CompleteSpace E'] (hf : Integrable f ν)
(hg : Integrable g μ) : ∫ x, (f ⋆[L, ν] g) x ∂μ = L (∫ x, f x ∂ν) (∫ x, g x ∂μ) := by
refine (integral_integral_swap (by apply hf.convolution_integrand L hg)).trans ?_
simp_rw [integral_comp_comm _ (hg.comp_sub_right _), integral_sub_right_eq_self]
exact (L.flip (∫ x, g x ∂μ)).integral_comp_comm hf
variable [MeasurableAdd₂ G] [IsAddRightInvariant ν] [MeasurableNeg G]
/-- Convolution is associative. This has a weak but inconvenient integrability condition.
See also `MeasureTheory.convolution_assoc`. -/
theorem convolution_assoc' (hL : ∀ (x : E) (y : E') (z : E''), L₂ (L x y) z = L₃ x (L₄ y z))
{x₀ : G} (hfg : ∀ᵐ y ∂μ, ConvolutionExistsAt f g y L ν)
(hgk : ∀ᵐ x ∂ν, ConvolutionExistsAt g k x L₄ μ)
(hi : Integrable (uncurry fun x y => (L₃ (f y)) ((L₄ (g (x - y))) (k (x₀ - x)))) (μ.prod ν)) :
((f ⋆[L, ν] g) ⋆[L₂, μ] k) x₀ = (f ⋆[L₃, ν] g ⋆[L₄, μ] k) x₀ :=
calc
((f ⋆[L, ν] g) ⋆[L₂, μ] k) x₀ = ∫ t, L₂ (∫ s, L (f s) (g (t - s)) ∂ν) (k (x₀ - t)) ∂μ := rfl
_ = ∫ t, ∫ s, L₂ (L (f s) (g (t - s))) (k (x₀ - t)) ∂ν ∂μ :=
(integral_congr_ae (hfg.mono fun t ht => ((L₂.flip (k (x₀ - t))).integral_comp_comm ht).symm))
_ = ∫ t, ∫ s, L₃ (f s) (L₄ (g (t - s)) (k (x₀ - t))) ∂ν ∂μ := by simp_rw [hL]
_ = ∫ s, ∫ t, L₃ (f s) (L₄ (g (t - s)) (k (x₀ - t))) ∂μ ∂ν := by rw [integral_integral_swap hi]
_ = ∫ s, ∫ u, L₃ (f s) (L₄ (g u) (k (x₀ - s - u))) ∂μ ∂ν := by
congr; ext t
rw [eq_comm, ← integral_sub_right_eq_self _ t]
simp_rw [sub_sub_sub_cancel_right]
_ = ∫ s, L₃ (f s) (∫ u, L₄ (g u) (k (x₀ - s - u)) ∂μ) ∂ν := by
refine integral_congr_ae ?_
refine ((quasiMeasurePreserving_sub_left_of_right_invariant ν x₀).ae hgk).mono fun t ht => ?_
exact (L₃ (f t)).integral_comp_comm ht
_ = (f ⋆[L₃, ν] g ⋆[L₄, μ] k) x₀ := rfl
/-- Convolution is associative. This requires that
* all maps are a.e. strongly measurable w.r.t one of the measures
* `f ⋆[L, ν] g` exists almost everywhere
* `‖g‖ ⋆[μ] ‖k‖` exists almost everywhere
* `‖f‖ ⋆[ν] (‖g‖ ⋆[μ] ‖k‖)` exists at `x₀` -/
theorem convolution_assoc (hL : ∀ (x : E) (y : E') (z : E''), L₂ (L x y) z = L₃ x (L₄ y z)) {x₀ : G}
(hf : AEStronglyMeasurable f ν) (hg : AEStronglyMeasurable g μ) (hk : AEStronglyMeasurable k μ)
(hfg : ∀ᵐ y ∂μ, ConvolutionExistsAt f g y L ν)
(hgk : ∀ᵐ x ∂ν, ConvolutionExistsAt (fun x => ‖g x‖) (fun x => ‖k x‖) x (mul ℝ ℝ) μ)
(hfgk :
ConvolutionExistsAt (fun x => ‖f x‖) ((fun x => ‖g x‖) ⋆[mul ℝ ℝ, μ] fun x => ‖k x‖) x₀
(mul ℝ ℝ) ν) :
((f ⋆[L, ν] g) ⋆[L₂, μ] k) x₀ = (f ⋆[L₃, ν] g ⋆[L₄, μ] k) x₀ := by
refine convolution_assoc' L L₂ L₃ L₄ hL hfg (hgk.mono fun x hx => hx.of_norm L₄ hg hk) ?_
-- the following is similar to `Integrable.convolution_integrand`
have h_meas :
AEStronglyMeasurable (uncurry fun x y => L₃ (f y) (L₄ (g x) (k (x₀ - y - x))))
(μ.prod ν) := by
refine L₃.aestronglyMeasurable_comp₂ hf.snd ?_
refine L₄.aestronglyMeasurable_comp₂ hg.fst ?_
refine (hk.mono_ac ?_).comp_measurable
((measurable_const.sub measurable_snd).sub measurable_fst)
refine QuasiMeasurePreserving.absolutelyContinuous ?_
refine QuasiMeasurePreserving.prod_of_left
((measurable_const.sub measurable_snd).sub measurable_fst) (Eventually.of_forall fun y => ?_)
dsimp only
exact quasiMeasurePreserving_sub_left_of_right_invariant μ _
have h2_meas :
AEStronglyMeasurable (fun y => ∫ x, ‖L₃ (f y) (L₄ (g x) (k (x₀ - y - x)))‖ ∂μ) ν :=
h_meas.prod_swap.norm.integral_prod_right'
have h3 : map (fun z : G × G => (z.1 - z.2, z.2)) (μ.prod ν) = μ.prod ν :=
(measurePreserving_sub_prod μ ν).map_eq
suffices Integrable (uncurry fun x y => L₃ (f y) (L₄ (g x) (k (x₀ - y - x)))) (μ.prod ν) by
rw [← h3] at this
convert this.comp_measurable (measurable_sub.prodMk measurable_snd)
ext ⟨x, y⟩
simp +unfoldPartialApp only [uncurry, Function.comp_apply,
sub_sub_sub_cancel_right]
simp_rw [integrable_prod_iff' h_meas]
refine ⟨((quasiMeasurePreserving_sub_left_of_right_invariant ν x₀).ae hgk).mono fun t ht =>
(L₃ (f t)).integrable_comp <| ht.of_norm L₄ hg hk, ?_⟩
refine (hfgk.const_mul (‖L₃‖ * ‖L₄‖)).mono' h2_meas
(((quasiMeasurePreserving_sub_left_of_right_invariant ν x₀).ae hgk).mono fun t ht => ?_)
simp_rw [convolution_def, mul_apply', mul_mul_mul_comm ‖L₃‖ ‖L₄‖, ← integral_const_mul]
rw [Real.norm_of_nonneg (by positivity)]
refine integral_mono_of_nonneg (Eventually.of_forall fun t => norm_nonneg _)
((ht.const_mul _).const_mul _) (Eventually.of_forall fun s => ?_)
simp only [← mul_assoc ‖L₄‖]
apply_rules [ContinuousLinearMap.le_of_opNorm₂_le_of_le, le_rfl]
end Assoc
variable [NormedAddCommGroup G] [BorelSpace G]
theorem convolution_precompR_apply {g : G → E'' →L[𝕜] E'} (hf : LocallyIntegrable f μ)
(hcg : HasCompactSupport g) (hg : Continuous g) (x₀ : G) (x : E'') :
(f ⋆[L.precompR E'', μ] g) x₀ x = (f ⋆[L, μ] fun a => g a x) x₀ := by
have := hcg.convolutionExists_right (L.precompR E'' :) hf hg x₀
simp_rw [convolution_def, ContinuousLinearMap.integral_apply this]
rfl
variable [NormedSpace 𝕜 G] [SFinite μ] [IsAddLeftInvariant μ]
/-- Compute the total derivative of `f ⋆ g` if `g` is `C^1` with compact support and `f` is locally
integrable. To write down the total derivative as a convolution, we use
`ContinuousLinearMap.precompR`. -/
theorem _root_.HasCompactSupport.hasFDerivAt_convolution_right (hcg : HasCompactSupport g)
(hf : LocallyIntegrable f μ) (hg : ContDiff 𝕜 1 g) (x₀ : G) :
HasFDerivAt (f ⋆[L, μ] g) ((f ⋆[L.precompR G, μ] fderiv 𝕜 g) x₀) x₀ := by
rcases hcg.eq_zero_or_finiteDimensional 𝕜 hg.continuous with (rfl | fin_dim)
· have : fderiv 𝕜 (0 : G → E') = 0 := fderiv_const (0 : E')
simp only [this, convolution_zero, Pi.zero_apply]
exact hasFDerivAt_const (0 : F) x₀
have : ProperSpace G := FiniteDimensional.proper_rclike 𝕜 G
set L' := L.precompR G
have h1 : ∀ᶠ x in 𝓝 x₀, AEStronglyMeasurable (fun t => L (f t) (g (x - t))) μ :=
Eventually.of_forall
(hf.aestronglyMeasurable.convolution_integrand_snd L hg.continuous.aestronglyMeasurable)
have h2 : ∀ x, AEStronglyMeasurable (fun t => L' (f t) (fderiv 𝕜 g (x - t))) μ :=
hf.aestronglyMeasurable.convolution_integrand_snd L'
(hg.continuous_fderiv le_rfl).aestronglyMeasurable
have h3 : ∀ x t, HasFDerivAt (fun x => g (x - t)) (fderiv 𝕜 g (x - t)) x := fun x t ↦ by
simpa using
(hg.differentiable le_rfl).differentiableAt.hasFDerivAt.comp x
((hasFDerivAt_id x).sub (hasFDerivAt_const t x))
let K' := -tsupport (fderiv 𝕜 g) + closedBall x₀ 1
have hK' : IsCompact K' := (hcg.fderiv 𝕜).neg.add (isCompact_closedBall x₀ 1)
apply hasFDerivAt_integral_of_dominated_of_fderiv_le zero_lt_one h1 _ (h2 x₀)
· filter_upwards with t x hx using
(hcg.fderiv 𝕜).convolution_integrand_bound_right L' (hg.continuous_fderiv le_rfl)
(ball_subset_closedBall hx)
· rw [integrable_indicator_iff hK'.measurableSet]
exact ((hf.integrableOn_isCompact hK').norm.const_mul _).mul_const _
· exact Eventually.of_forall fun t x _ => (L _).hasFDerivAt.comp x (h3 x t)
· exact hcg.convolutionExists_right L hf hg.continuous x₀
theorem _root_.HasCompactSupport.hasFDerivAt_convolution_left [IsNegInvariant μ]
(hcf : HasCompactSupport f) (hf : ContDiff 𝕜 1 f) (hg : LocallyIntegrable g μ) (x₀ : G) :
HasFDerivAt (f ⋆[L, μ] g) ((fderiv 𝕜 f ⋆[L.precompL G, μ] g) x₀) x₀ := by
simp +singlePass only [← convolution_flip]
exact hcf.hasFDerivAt_convolution_right L.flip hg hf x₀
end RCLike
section Real
/-! The one-variable case -/
variable [RCLike 𝕜]
variable [NormedSpace 𝕜 E]
variable [NormedSpace 𝕜 E']
variable [NormedSpace ℝ F] [NormedSpace 𝕜 F]
variable {f₀ : 𝕜 → E} {g₀ : 𝕜 → E'}
variable {n : ℕ∞}
variable (L : E →L[𝕜] E' →L[𝕜] F)
variable {μ : Measure 𝕜}
variable [IsAddLeftInvariant μ] [SFinite μ]
theorem _root_.HasCompactSupport.hasDerivAt_convolution_right (hf : LocallyIntegrable f₀ μ)
(hcg : HasCompactSupport g₀) (hg : ContDiff 𝕜 1 g₀) (x₀ : 𝕜) :
HasDerivAt (f₀ ⋆[L, μ] g₀) ((f₀ ⋆[L, μ] deriv g₀) x₀) x₀ := by
convert (hcg.hasFDerivAt_convolution_right L hf hg x₀).hasDerivAt using 1
rw [convolution_precompR_apply L hf (hcg.fderiv 𝕜) (hg.continuous_fderiv le_rfl)]
rfl
theorem _root_.HasCompactSupport.hasDerivAt_convolution_left [IsNegInvariant μ]
(hcf : HasCompactSupport f₀) (hf : ContDiff 𝕜 1 f₀) (hg : LocallyIntegrable g₀ μ) (x₀ : 𝕜) :
HasDerivAt (f₀ ⋆[L, μ] g₀) ((deriv f₀ ⋆[L, μ] g₀) x₀) x₀ := by
simp +singlePass only [← convolution_flip]
exact hcf.hasDerivAt_convolution_right L.flip hg hf x₀
end Real
section WithParam
variable [RCLike 𝕜] [NormedSpace 𝕜 E] [NormedSpace 𝕜 E'] [NormedSpace 𝕜 E''] [NormedSpace ℝ F]
[NormedSpace 𝕜 F] [MeasurableSpace G] [NormedAddCommGroup G] [BorelSpace G]
[NormedSpace 𝕜 G] [NormedAddCommGroup P] [NormedSpace 𝕜 P] {μ : Measure G}
(L : E →L[𝕜] E' →L[𝕜] F)
/-- The derivative of the convolution `f * g` is given by `f * Dg`, when `f` is locally integrable
and `g` is `C^1` and compactly supported. Version where `g` depends on an additional parameter in an
open subset `s` of a parameter space `P` (and the compact support `k` is independent of the
parameter in `s`). -/
theorem hasFDerivAt_convolution_right_with_param {g : P → G → E'} {s : Set P} {k : Set G}
(hs : IsOpen s) (hk : IsCompact k) (hgs : ∀ p, ∀ x, p ∈ s → x ∉ k → g p x = 0)
(hf : LocallyIntegrable f μ) (hg : ContDiffOn 𝕜 1 (↿g) (s ×ˢ univ)) (q₀ : P × G)
(hq₀ : q₀.1 ∈ s) :
HasFDerivAt (fun q : P × G => (f ⋆[L, μ] g q.1) q.2)
((f ⋆[L.precompR (P × G), μ] fun x : G => fderiv 𝕜 (↿g) (q₀.1, x)) q₀.2) q₀ := by
let g' := fderiv 𝕜 ↿g
have A : ∀ p ∈ s, Continuous (g p) := fun p hp ↦ by
refine hg.continuousOn.comp_continuous (.prodMk_right _) fun x => ?_
simpa only [prodMk_mem_set_prod_eq, mem_univ, and_true] using hp
have A' : ∀ q : P × G, q.1 ∈ s → s ×ˢ univ ∈ 𝓝 q := fun q hq ↦ by
apply (hs.prod isOpen_univ).mem_nhds
simpa only [mem_prod, mem_univ, and_true] using hq
-- The derivative of `g` vanishes away from `k`.
have g'_zero : ∀ p x, p ∈ s → x ∉ k → g' (p, x) = 0 := by
intro p x hp hx
refine (hasFDerivAt_zero_of_eventually_const 0 ?_).fderiv
have M2 : kᶜ ∈ 𝓝 x := hk.isClosed.isOpen_compl.mem_nhds hx
have M1 : s ∈ 𝓝 p := hs.mem_nhds hp
rw [nhds_prod_eq]
filter_upwards [prod_mem_prod M1 M2]
rintro ⟨p, y⟩ ⟨hp, hy⟩
exact hgs p y hp hy
/- We find a small neighborhood of `{q₀.1} × k` on which the derivative is uniformly bounded. This
follows from the continuity at all points of the compact set `k`. -/
obtain ⟨ε, C, εpos, h₀ε, hε⟩ :
∃ ε C, 0 < ε ∧ ball q₀.1 ε ⊆ s ∧ ∀ p x, ‖p - q₀.1‖ < ε → ‖g' (p, x)‖ ≤ C := by
have A : IsCompact ({q₀.1} ×ˢ k) := isCompact_singleton.prod hk
obtain ⟨t, kt, t_open, ht⟩ : ∃ t, {q₀.1} ×ˢ k ⊆ t ∧ IsOpen t ∧ IsBounded (g' '' t) := by
have B : ContinuousOn g' (s ×ˢ univ) :=
hg.continuousOn_fderiv_of_isOpen (hs.prod isOpen_univ) le_rfl
apply exists_isOpen_isBounded_image_of_isCompact_of_continuousOn A (hs.prod isOpen_univ) _ B
simp only [prod_subset_prod_iff, hq₀, singleton_subset_iff, subset_univ, and_self_iff,
true_or]
obtain ⟨ε, εpos, hε, h'ε⟩ :
∃ ε : ℝ, 0 < ε ∧ thickening ε ({q₀.fst} ×ˢ k) ⊆ t ∧ ball q₀.1 ε ⊆ s := by
obtain ⟨ε, εpos, hε⟩ : ∃ ε : ℝ, 0 < ε ∧ thickening ε (({q₀.fst} : Set P) ×ˢ k) ⊆ t :=
A.exists_thickening_subset_open t_open kt
obtain ⟨δ, δpos, hδ⟩ : ∃ δ : ℝ, 0 < δ ∧ ball q₀.1 δ ⊆ s := Metric.isOpen_iff.1 hs _ hq₀
refine ⟨min ε δ, lt_min εpos δpos, ?_, ?_⟩
· exact Subset.trans (thickening_mono (min_le_left _ _) _) hε
· exact Subset.trans (ball_subset_ball (min_le_right _ _)) hδ
obtain ⟨C, Cpos, hC⟩ : ∃ C, 0 < C ∧ g' '' t ⊆ closedBall 0 C := ht.subset_closedBall_lt 0 0
refine ⟨ε, C, εpos, h'ε, fun p x hp => ?_⟩
have hps : p ∈ s := h'ε (mem_ball_iff_norm.2 hp)
by_cases hx : x ∈ k
· have H : (p, x) ∈ t := by
apply hε
refine mem_thickening_iff.2 ⟨(q₀.1, x), ?_, ?_⟩
· simp only [hx, singleton_prod, mem_image, Prod.mk_inj, eq_self_iff_true, true_and,
exists_eq_right]
· rw [← dist_eq_norm] at hp
simpa only [Prod.dist_eq, εpos, dist_self, max_lt_iff, and_true] using hp
have : g' (p, x) ∈ closedBall (0 : P × G →L[𝕜] E') C := hC (mem_image_of_mem _ H)
rwa [mem_closedBall_zero_iff] at this
· have : g' (p, x) = 0 := g'_zero _ _ hps hx
rw [this]
simpa only [norm_zero] using Cpos.le
/- Now, we wish to apply a theorem on differentiation of integrals. For this, we need to check
trivial measurability or integrability assumptions (in `I1`, `I2`, `I3`), as well as a uniform
integrability assumption over the derivative (in `I4` and `I5`) and pointwise differentiability
in `I6`. -/
have I1 :
∀ᶠ x : P × G in 𝓝 q₀, AEStronglyMeasurable (fun a : G => L (f a) (g x.1 (x.2 - a))) μ := by
filter_upwards [A' q₀ hq₀]
rintro ⟨p, x⟩ ⟨hp, -⟩
refine (HasCompactSupport.convolutionExists_right L ?_ hf (A _ hp) _).1
apply hk.of_isClosed_subset (isClosed_tsupport _)
exact closure_minimal (support_subset_iff'.2 fun z hz => hgs _ _ hp hz) hk.isClosed
have I2 : Integrable (fun a : G => L (f a) (g q₀.1 (q₀.2 - a))) μ := by
have M : HasCompactSupport (g q₀.1) := HasCompactSupport.intro hk fun x hx => hgs q₀.1 x hq₀ hx
apply M.convolutionExists_right L hf (A q₀.1 hq₀) q₀.2
have I3 : AEStronglyMeasurable (fun a : G => (L (f a)).comp (g' (q₀.fst, q₀.snd - a))) μ := by
have T : HasCompactSupport fun y => g' (q₀.1, y) :=
HasCompactSupport.intro hk fun x hx => g'_zero q₀.1 x hq₀ hx
apply (HasCompactSupport.convolutionExists_right (L.precompR (P × G) :) T hf _ q₀.2).1
have : ContinuousOn g' (s ×ˢ univ) :=
hg.continuousOn_fderiv_of_isOpen (hs.prod isOpen_univ) le_rfl
apply this.comp_continuous (.prodMk_right _)
intro x
simpa only [prodMk_mem_set_prod_eq, mem_univ, and_true] using hq₀
set K' := (-k + {q₀.2} : Set G) with K'_def
have hK' : IsCompact K' := hk.neg.add isCompact_singleton
obtain ⟨U, U_open, K'U, hU⟩ : ∃ U, IsOpen U ∧ K' ⊆ U ∧ IntegrableOn f U μ :=
hf.integrableOn_nhds_isCompact hK'
obtain ⟨δ, δpos, δε, hδ⟩ : ∃ δ, (0 : ℝ) < δ ∧ δ ≤ ε ∧ K' + ball 0 δ ⊆ U := by
obtain ⟨V, V_mem, hV⟩ : ∃ V ∈ 𝓝 (0 : G), K' + V ⊆ U :=
compact_open_separated_add_right hK' U_open K'U
rcases Metric.mem_nhds_iff.1 V_mem with ⟨δ, δpos, hδ⟩
refine ⟨min δ ε, lt_min δpos εpos, min_le_right δ ε, ?_⟩
exact (add_subset_add_left ((ball_subset_ball (min_le_left _ _)).trans hδ)).trans hV
letI := ContinuousLinearMap.hasOpNorm (𝕜 := 𝕜) (𝕜₂ := 𝕜) (E := E)
(F := (P × G →L[𝕜] E') →L[𝕜] P × G →L[𝕜] F) (σ₁₂ := RingHom.id 𝕜)
let bound : G → ℝ := indicator U fun t => ‖(L.precompR (P × G))‖ * ‖f t‖ * C
have I4 : ∀ᵐ a : G ∂μ, ∀ x : P × G, dist x q₀ < δ →
‖L.precompR (P × G) (f a) (g' (x.fst, x.snd - a))‖ ≤ bound a := by
filter_upwards with a x hx
rw [Prod.dist_eq, dist_eq_norm, dist_eq_norm] at hx
have : (-tsupport fun a => g' (x.1, a)) + ball q₀.2 δ ⊆ U := by
apply Subset.trans _ hδ
rw [K'_def, add_assoc]
apply add_subset_add
· rw [neg_subset_neg]
refine closure_minimal (support_subset_iff'.2 fun z hz => ?_) hk.isClosed
apply g'_zero x.1 z (h₀ε _) hz
rw [mem_ball_iff_norm]
exact ((le_max_left _ _).trans_lt hx).trans_le δε
· simp only [add_ball, thickening_singleton, zero_vadd, subset_rfl]
apply convolution_integrand_bound_right_of_le_of_subset _ _ _ this
· intro y
exact hε _ _ (((le_max_left _ _).trans_lt hx).trans_le δε)
· rw [mem_ball_iff_norm]
exact (le_max_right _ _).trans_lt hx
have I5 : Integrable bound μ := by
rw [integrable_indicator_iff U_open.measurableSet]
exact (hU.norm.const_mul _).mul_const _
have I6 : ∀ᵐ a : G ∂μ, ∀ x : P × G, dist x q₀ < δ →
HasFDerivAt (fun x : P × G => L (f a) (g x.1 (x.2 - a)))
((L (f a)).comp (g' (x.fst, x.snd - a))) x := by
filter_upwards with a x hx
apply (L _).hasFDerivAt.comp x
have N : s ×ˢ univ ∈ 𝓝 (x.1, x.2 - a) := by
apply A'
apply h₀ε
rw [Prod.dist_eq] at hx
exact lt_of_lt_of_le (lt_of_le_of_lt (le_max_left _ _) hx) δε
have Z := ((hg.differentiableOn le_rfl).differentiableAt N).hasFDerivAt
have Z' :
HasFDerivAt (fun x : P × G => (x.1, x.2 - a)) (ContinuousLinearMap.id 𝕜 (P × G)) x := by
have : (fun x : P × G => (x.1, x.2 - a)) = _root_.id - fun x => (0, a) := by
ext x <;> simp only [Pi.sub_apply, _root_.id, Prod.fst_sub, sub_zero, Prod.snd_sub]
rw [this]
exact (hasFDerivAt_id x).sub_const (0, a)
exact Z.comp x Z'
exact hasFDerivAt_integral_of_dominated_of_fderiv_le δpos I1 I2 I3 I4 I5 I6
/-- The convolution `f * g` is `C^n` when `f` is locally integrable and `g` is `C^n` and compactly
supported. Version where `g` depends on an additional parameter in an open subset `s` of a
parameter space `P` (and the compact support `k` is independent of the parameter in `s`).
In this version, all the types belong to the same universe (to get an induction working in the
proof). Use instead `contDiffOn_convolution_right_with_param`, which removes this restriction. -/
theorem contDiffOn_convolution_right_with_param_aux {G : Type uP} {E' : Type uP} {F : Type uP}
{P : Type uP} [NormedAddCommGroup E'] [NormedAddCommGroup F] [NormedSpace 𝕜 E']
[NormedSpace ℝ F] [NormedSpace 𝕜 F] [MeasurableSpace G]
{μ : Measure G}
[NormedAddCommGroup G] [BorelSpace G] [NormedSpace 𝕜 G] [NormedAddCommGroup P] [NormedSpace 𝕜 P]
{f : G → E} {n : ℕ∞} (L : E →L[𝕜] E' →L[𝕜] F) {g : P → G → E'} {s : Set P} {k : Set G}
(hs : IsOpen s) (hk : IsCompact k) (hgs : ∀ p, ∀ x, p ∈ s → x ∉ k → g p x = 0)
(hf : LocallyIntegrable f μ) (hg : ContDiffOn 𝕜 n (↿g) (s ×ˢ univ)) :
ContDiffOn 𝕜 n (fun q : P × G => (f ⋆[L, μ] g q.1) q.2) (s ×ˢ univ) := by
/- We have a formula for the derivation of `f * g`, which is of the same form, thanks to
`hasFDerivAt_convolution_right_with_param`. Therefore, we can prove the result by induction on
`n` (but for this we need the spaces at the different steps of the induction to live in the same
universe, which is why we make the assumption in the lemma that all the relevant spaces
come from the same universe). -/
induction n using ENat.nat_induction generalizing g E' F with
| h0 =>
rw [WithTop.coe_zero, contDiffOn_zero] at hg ⊢
exact continuousOn_convolution_right_with_param L hk hgs hf hg
| hsuc n ih =>
simp only [Nat.succ_eq_add_one, Nat.cast_add, Nat.cast_one, WithTop.coe_add,
WithTop.coe_natCast, WithTop.coe_one] at hg ⊢
let f' : P → G → P × G →L[𝕜] F := fun p a =>
(f ⋆[L.precompR (P × G), μ] fun x : G => fderiv 𝕜 (uncurry g) (p, x)) a
have A : ∀ q₀ : P × G, q₀.1 ∈ s →
HasFDerivAt (fun q : P × G => (f ⋆[L, μ] g q.1) q.2) (f' q₀.1 q₀.2) q₀ :=
hasFDerivAt_convolution_right_with_param L hs hk hgs hf hg.one_of_succ
rw [contDiffOn_succ_iff_fderiv_of_isOpen (hs.prod (@isOpen_univ G _))] at hg ⊢
refine ⟨?_, by simp, ?_⟩
· rintro ⟨p, x⟩ ⟨hp, -⟩
exact (A (p, x) hp).differentiableAt.differentiableWithinAt
· suffices H : ContDiffOn 𝕜 n (↿f') (s ×ˢ univ) by
apply H.congr
rintro ⟨p, x⟩ ⟨hp, -⟩
exact (A (p, x) hp).fderiv
have B : ∀ (p : P) (x : G), p ∈ s → x ∉ k → fderiv 𝕜 (uncurry g) (p, x) = 0 := by
intro p x hp hx
apply (hasFDerivAt_zero_of_eventually_const (0 : E') _).fderiv
have M2 : kᶜ ∈ 𝓝 x := IsOpen.mem_nhds hk.isClosed.isOpen_compl hx
have M1 : s ∈ 𝓝 p := hs.mem_nhds hp
rw [nhds_prod_eq]
filter_upwards [prod_mem_prod M1 M2]
rintro ⟨p, y⟩ ⟨hp, hy⟩
exact hgs p y hp hy
apply ih (L.precompR (P × G) :) B
convert hg.2.2
| htop ih =>
rw [contDiffOn_infty] at hg ⊢
exact fun n ↦ ih n L hgs (hg n)
/-- The convolution `f * g` is `C^n` when `f` is locally integrable and `g` is `C^n` and compactly
supported. Version where `g` depends on an additional parameter in an open subset `s` of a
parameter space `P` (and the compact support `k` is independent of the parameter in `s`). -/
theorem contDiffOn_convolution_right_with_param {f : G → E} {n : ℕ∞} (L : E →L[𝕜] E' →L[𝕜] F)
{g : P → G → E'} {s : Set P} {k : Set G} (hs : IsOpen s) (hk : IsCompact k)
(hgs : ∀ p, ∀ x, p ∈ s → x ∉ k → g p x = 0) (hf : LocallyIntegrable f μ)
(hg : ContDiffOn 𝕜 n (↿g) (s ×ˢ univ)) :
ContDiffOn 𝕜 n (fun q : P × G => (f ⋆[L, μ] g q.1) q.2) (s ×ˢ univ) := by
/- The result is known when all the universes are the same, from
`contDiffOn_convolution_right_with_param_aux`. We reduce to this situation by pushing
everything through `ULift` continuous linear equivalences. -/
let eG : Type max uG uE' uF uP := ULift.{max uE' uF uP} G
borelize eG
let eE' : Type max uE' uG uF uP := ULift.{max uG uF uP} E'
let eF : Type max uF uG uE' uP := ULift.{max uG uE' uP} F
let eP : Type max uP uG uE' uF := ULift.{max uG uE' uF} P
let isoG : eG ≃L[𝕜] G := ContinuousLinearEquiv.ulift
let isoE' : eE' ≃L[𝕜] E' := ContinuousLinearEquiv.ulift
let isoF : eF ≃L[𝕜] F := ContinuousLinearEquiv.ulift
let isoP : eP ≃L[𝕜] P := ContinuousLinearEquiv.ulift
let ef := f ∘ isoG
let eμ : Measure eG := Measure.map isoG.symm μ
let eg : eP → eG → eE' := fun ep ex => isoE'.symm (g (isoP ep) (isoG ex))
let eL :=
ContinuousLinearMap.comp
((ContinuousLinearEquiv.arrowCongr isoE' isoF).symm : (E' →L[𝕜] F) →L[𝕜] eE' →L[𝕜] eF) L
let R := fun q : eP × eG => (ef ⋆[eL, eμ] eg q.1) q.2
have R_contdiff : ContDiffOn 𝕜 n R ((isoP ⁻¹' s) ×ˢ univ) := by
have hek : IsCompact (isoG ⁻¹' k) := isoG.toHomeomorph.isClosedEmbedding.isCompact_preimage hk
have hes : IsOpen (isoP ⁻¹' s) := isoP.continuous.isOpen_preimage _ hs
refine contDiffOn_convolution_right_with_param_aux eL hes hek ?_ ?_ ?_
· intro p x hp hx
simp only [eg, (· ∘ ·), ContinuousLinearEquiv.prod_apply, LinearIsometryEquiv.coe_coe,
ContinuousLinearEquiv.map_eq_zero_iff]
exact hgs _ _ hp hx
· exact (locallyIntegrable_map_homeomorph isoG.symm.toHomeomorph).2 hf
· apply isoE'.symm.contDiff.comp_contDiffOn
apply hg.comp (isoP.prod isoG).contDiff.contDiffOn
rintro ⟨p, x⟩ ⟨hp, -⟩
simpa only [mem_preimage, ContinuousLinearEquiv.prod_apply, prodMk_mem_set_prod_eq, mem_univ,
and_true] using hp
have A : ContDiffOn 𝕜 n (isoF ∘ R ∘ (isoP.prod isoG).symm) (s ×ˢ univ) := by
apply isoF.contDiff.comp_contDiffOn
apply R_contdiff.comp (ContinuousLinearEquiv.contDiff _).contDiffOn
rintro ⟨p, x⟩ ⟨hp, -⟩
simpa only [mem_preimage, mem_prod, mem_univ, and_true, ContinuousLinearEquiv.prod_symm,
ContinuousLinearEquiv.prod_apply, ContinuousLinearEquiv.apply_symm_apply] using hp
have : isoF ∘ R ∘ (isoP.prod isoG).symm = fun q : P × G => (f ⋆[L, μ] g q.1) q.2 := by
apply funext
rintro ⟨p, x⟩
simp only [LinearIsometryEquiv.coe_coe, (· ∘ ·), ContinuousLinearEquiv.prod_symm,
ContinuousLinearEquiv.prod_apply]
simp only [R, convolution, coe_comp', ContinuousLinearEquiv.coe_coe, (· ∘ ·)]
rw [IsClosedEmbedding.integral_map, ← isoF.integral_comp_comm]
· rfl
· exact isoG.symm.toHomeomorph.isClosedEmbedding
simp_rw [this] at A
exact A
/-- The convolution `f * g` is `C^n` when `f` is locally integrable and `g` is `C^n` and compactly
supported. Version where `g` depends on an additional parameter in an open subset `s` of a
parameter space `P` (and the compact support `k` is independent of the parameter in `s`),
given in terms of composition with an additional `C^n` function. -/
theorem contDiffOn_convolution_right_with_param_comp {n : ℕ∞} (L : E →L[𝕜] E' →L[𝕜] F) {s : Set P}
{v : P → G} (hv : ContDiffOn 𝕜 n v s) {f : G → E} {g : P → G → E'} {k : Set G} (hs : IsOpen s)
(hk : IsCompact k) (hgs : ∀ p, ∀ x, p ∈ s → x ∉ k → g p x = 0) (hf : LocallyIntegrable f μ)
(hg : ContDiffOn 𝕜 n (↿g) (s ×ˢ univ)) : ContDiffOn 𝕜 n (fun x => (f ⋆[L, μ] g x) (v x)) s := by
apply (contDiffOn_convolution_right_with_param L hs hk hgs hf hg).comp (contDiffOn_id.prodMk hv)
intro x hx
simp only [hx, mem_preimage, prodMk_mem_set_prod_eq, mem_univ, and_self_iff, _root_.id]
/-- The convolution `g * f` is `C^n` when `f` is locally integrable and `g` is `C^n` and compactly
supported. Version where `g` depends on an additional parameter in an open subset `s` of a
parameter space `P` (and the compact support `k` is independent of the parameter in `s`). -/
theorem contDiffOn_convolution_left_with_param [μ.IsAddLeftInvariant] [μ.IsNegInvariant]
(L : E' →L[𝕜] E →L[𝕜] F) {f : G → E} {n : ℕ∞} {g : P → G → E'} {s : Set P} {k : Set G}
(hs : IsOpen s) (hk : IsCompact k) (hgs : ∀ p, ∀ x, p ∈ s → x ∉ k → g p x = 0)
(hf : LocallyIntegrable f μ) (hg : ContDiffOn 𝕜 n (↿g) (s ×ˢ univ)) :
ContDiffOn 𝕜 n (fun q : P × G => (g q.1 ⋆[L, μ] f) q.2) (s ×ˢ univ) := by
simpa only [convolution_flip] using contDiffOn_convolution_right_with_param L.flip hs hk hgs hf hg
/-- The convolution `g * f` is `C^n` when `f` is locally integrable and `g` is `C^n` and compactly
supported. Version where `g` depends on an additional parameter in an open subset `s` of a
parameter space `P` (and the compact support `k` is independent of the parameter in `s`),
given in terms of composition with additional `C^n` functions. -/
theorem contDiffOn_convolution_left_with_param_comp [μ.IsAddLeftInvariant] [μ.IsNegInvariant]
(L : E' →L[𝕜] E →L[𝕜] F) {s : Set P} {n : ℕ∞} {v : P → G} (hv : ContDiffOn 𝕜 n v s) {f : G → E}
{g : P → G → E'} {k : Set G} (hs : IsOpen s) (hk : IsCompact k)
(hgs : ∀ p, ∀ x, p ∈ s → x ∉ k → g p x = 0) (hf : LocallyIntegrable f μ)
(hg : ContDiffOn 𝕜 n (↿g) (s ×ˢ univ)) : ContDiffOn 𝕜 n (fun x => (g x ⋆[L, μ] f) (v x)) s := by
apply (contDiffOn_convolution_left_with_param L hs hk hgs hf hg).comp (contDiffOn_id.prodMk hv)
intro x hx
simp only [hx, mem_preimage, prodMk_mem_set_prod_eq, mem_univ, and_self_iff, _root_.id]
theorem _root_.HasCompactSupport.contDiff_convolution_right {n : ℕ∞} (hcg : HasCompactSupport g)
(hf : LocallyIntegrable f μ) (hg : ContDiff 𝕜 n g) : ContDiff 𝕜 n (f ⋆[L, μ] g) := by
rcases exists_compact_iff_hasCompactSupport.2 hcg with ⟨k, hk, h'k⟩
rw [← contDiffOn_univ]
exact contDiffOn_convolution_right_with_param_comp L contDiffOn_id isOpen_univ hk
(fun p x _ hx => h'k x hx) hf (hg.comp contDiff_snd).contDiffOn
theorem _root_.HasCompactSupport.contDiff_convolution_left [μ.IsAddLeftInvariant] [μ.IsNegInvariant]
{n : ℕ∞} (hcf : HasCompactSupport f) (hf : ContDiff 𝕜 n f) (hg : LocallyIntegrable g μ) :
ContDiff 𝕜 n (f ⋆[L, μ] g) := by
rw [← convolution_flip]
exact hcf.contDiff_convolution_right L.flip hg hf
end WithParam
section Nonneg
variable [NormedSpace ℝ E] [NormedSpace ℝ E'] [NormedSpace ℝ F]
/-- The forward convolution of two functions `f` and `g` on `ℝ`, with respect to a continuous
bilinear map `L` and measure `ν`. It is defined to be the function mapping `x` to
`∫ t in 0..x, L (f t) (g (x - t)) ∂ν` if `0 < x`, and 0 otherwise. -/
noncomputable def posConvolution (f : ℝ → E) (g : ℝ → E') (L : E →L[ℝ] E' →L[ℝ] F)
(ν : Measure ℝ := by volume_tac) : ℝ → F :=
indicator (Ioi (0 : ℝ)) fun x => ∫ t in (0)..x, L (f t) (g (x - t)) ∂ν
theorem posConvolution_eq_convolution_indicator (f : ℝ → E) (g : ℝ → E') (L : E →L[ℝ] E' →L[ℝ] F)
(ν : Measure ℝ := by volume_tac) [NoAtoms ν] :
posConvolution f g L ν = convolution (indicator (Ioi 0) f) (indicator (Ioi 0) g) L ν := by
ext1 x
rw [convolution, posConvolution, indicator]
split_ifs with h
· rw [intervalIntegral.integral_of_le (le_of_lt h), integral_Ioc_eq_integral_Ioo, ←
integral_indicator (measurableSet_Ioo : MeasurableSet (Ioo 0 x))]
congr 1 with t : 1
have : t ≤ 0 ∨ t ∈ Ioo 0 x ∨ x ≤ t := by
rcases le_or_lt t 0 with (h | h)
· exact Or.inl h
· rcases lt_or_le t x with (h' | h')
exacts [Or.inr (Or.inl ⟨h, h'⟩), Or.inr (Or.inr h')]
rcases this with (ht | ht | ht)
· rw [indicator_of_not_mem (not_mem_Ioo_of_le ht), indicator_of_not_mem (not_mem_Ioi.mpr ht),
ContinuousLinearMap.map_zero, ContinuousLinearMap.zero_apply]
· rw [indicator_of_mem ht, indicator_of_mem (mem_Ioi.mpr ht.1),
indicator_of_mem (mem_Ioi.mpr <| sub_pos.mpr ht.2)]
· rw [indicator_of_not_mem (not_mem_Ioo_of_ge ht),
indicator_of_not_mem (not_mem_Ioi.mpr (sub_nonpos_of_le ht)),
ContinuousLinearMap.map_zero]
· convert (integral_zero ℝ F).symm with t
by_cases ht : 0 < t
· rw [indicator_of_not_mem (_ : x - t ∉ Ioi 0), ContinuousLinearMap.map_zero]
rw [not_mem_Ioi] at h ⊢
exact sub_nonpos.mpr (h.trans ht.le)
· rw [indicator_of_not_mem (mem_Ioi.not.mpr ht), ContinuousLinearMap.map_zero,
ContinuousLinearMap.zero_apply]
theorem integrable_posConvolution {f : ℝ → E} {g : ℝ → E'} {μ ν : Measure ℝ} [SFinite μ]
[SFinite ν] [IsAddRightInvariant μ] [NoAtoms ν] (hf : IntegrableOn f (Ioi 0) ν)
(hg : IntegrableOn g (Ioi 0) μ) (L : E →L[ℝ] E' →L[ℝ] F) :
Integrable (posConvolution f g L ν) μ := by
rw [← integrable_indicator_iff (measurableSet_Ioi : MeasurableSet (Ioi (0 : ℝ)))] at hf hg
rw [posConvolution_eq_convolution_indicator f g L ν]
exact (hf.convolution_integrand L hg).integral_prod_left
/-- The integral over `Ioi 0` of a forward convolution of two functions is equal to the product
of their integrals over this set. (Compare `integral_convolution` for the two-sided convolution.) -/
theorem integral_posConvolution [CompleteSpace E] [CompleteSpace E'] [CompleteSpace F]
{μ ν : Measure ℝ}
[SFinite μ] [SFinite ν] [IsAddRightInvariant μ] [NoAtoms ν] {f : ℝ → E} {g : ℝ → E'}
(hf : IntegrableOn f (Ioi 0) ν) (hg : IntegrableOn g (Ioi 0) μ) (L : E →L[ℝ] E' →L[ℝ] F) :
∫ x : ℝ in Ioi 0, ∫ t : ℝ in (0)..x, L (f t) (g (x - t)) ∂ν ∂μ =
L (∫ x : ℝ in Ioi 0, f x ∂ν) (∫ x : ℝ in Ioi 0, g x ∂μ) := by
rw [← integrable_indicator_iff measurableSet_Ioi] at hf hg
simp_rw [← integral_indicator measurableSet_Ioi]
convert integral_convolution L hf hg using 4 with x
apply posConvolution_eq_convolution_indicator
end Nonneg
end MeasureTheory
| Mathlib/Analysis/Convolution.lean | 1,402 | 1,407 | |
/-
Copyright (c) 2023 Jz Pan. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Jz Pan
-/
import Mathlib.FieldTheory.SplittingField.Construction
import Mathlib.FieldTheory.IsAlgClosed.AlgebraicClosure
import Mathlib.FieldTheory.Separable
import Mathlib.FieldTheory.Normal.Closure
import Mathlib.RingTheory.AlgebraicIndependent.Adjoin
import Mathlib.RingTheory.AlgebraicIndependent.TranscendenceBasis
import Mathlib.RingTheory.Polynomial.SeparableDegree
import Mathlib.RingTheory.Polynomial.UniqueFactorization
/-!
# Separable degree
This file contains basics about the separable degree of a field extension.
## Main definitions
- `Field.Emb F E`: the type of `F`-algebra homomorphisms from `E` to the algebraic closure of `E`
(the algebraic closure of `F` is usually used in the literature, but our definition has the
advantage that `Field.Emb F E` lies in the same universe as `E` rather than the maximum over `F`
and `E`). Usually denoted by $\operatorname{Emb}_F(E)$ in textbooks.
- `Field.finSepDegree F E`: the (finite) separable degree $[E:F]_s$ of an extension `E / F`
of fields, defined to be the number of `F`-algebra homomorphisms from `E` to the algebraic
closure of `E`, as a natural number. It is zero if `Field.Emb F E` is not finite.
Note that if `E / F` is not algebraic, then this definition makes no mathematical sense.
**Remark:** the `Cardinal`-valued, potentially infinite separable degree `Field.sepDegree F E`
for a general algebraic extension `E / F` is defined to be the degree of `L / F`, where `L` is
the separable closure of `F` in `E`, which is not defined in this file yet. Later we
will show that (`Field.finSepDegree_eq`), if `Field.Emb F E` is finite, then these two
definitions coincide. If `E / F` is algebraic with infinite separable degree, we have
`#(Field.Emb F E) = 2 ^ Field.sepDegree F E` instead.
(See `Field.Emb.cardinal_eq_two_pow_sepDegree` in another file.) For example, if
$F = \mathbb{Q}$ and $E = \mathbb{Q}( \mu_{p^\infty} )$, then $\operatorname{Emb}_F (E)$
is in bijection with $\operatorname{Gal}(E/F)$, which is isomorphic to
$\mathbb{Z}_p^\times$, which is uncountable, whereas $ [E:F] $ is countable.
- `Polynomial.natSepDegree`: the separable degree of a polynomial is a natural number,
defined to be the number of distinct roots of it over its splitting field.
## Main results
- `Field.embEquivOfEquiv`, `Field.finSepDegree_eq_of_equiv`:
a random bijection between `Field.Emb F E` and `Field.Emb F K` when `E` and `K` are isomorphic
as `F`-algebras. In particular, they have the same cardinality (so their
`Field.finSepDegree` are equal).
- `Field.embEquivOfAdjoinSplits`,
`Field.finSepDegree_eq_of_adjoin_splits`: a random bijection between `Field.Emb F E` and
`E →ₐ[F] K` if `E = F(S)` such that every element `s` of `S` is integral (= algebraic) over `F`
and whose minimal polynomial splits in `K`. In particular, they have the same cardinality.
- `Field.embEquivOfIsAlgClosed`,
`Field.finSepDegree_eq_of_isAlgClosed`: a random bijection between `Field.Emb F E` and
`E →ₐ[F] K` when `E / F` is algebraic and `K / F` is algebraically closed.
In particular, they have the same cardinality.
- `Field.embProdEmbOfIsAlgebraic`, `Field.finSepDegree_mul_finSepDegree_of_isAlgebraic`:
if `K / E / F` is a field extension tower, such that `K / E` is algebraic,
then there is a non-canonical bijection `Field.Emb F E × Field.Emb E K ≃ Field.Emb F K`.
In particular, the separable degrees satisfy the tower law: $[E:F]_s [K:E]_s = [K:F]_s$
(see also `Module.finrank_mul_finrank`).
- `Field.infinite_emb_of_transcendental`: `Field.Emb` is infinite for transcendental extensions.
- `Polynomial.natSepDegree_le_natDegree`: the separable degree of a polynomial is smaller than
its degree.
- `Polynomial.natSepDegree_eq_natDegree_iff`: the separable degree of a non-zero polynomial is
equal to its degree if and only if it is separable.
- `Polynomial.natSepDegree_eq_of_splits`: if a polynomial splits over `E`, then its separable degree
is equal to the number of distinct roots of it over `E`.
- `Polynomial.natSepDegree_eq_of_isAlgClosed`: the separable degree of a polynomial is equal to
the number of distinct roots of it over any algebraically closed field.
- `Polynomial.natSepDegree_expand`: if a field `F` is of exponential characteristic
`q`, then `Polynomial.expand F (q ^ n) f` and `f` have the same separable degree.
- `Polynomial.HasSeparableContraction.natSepDegree_eq`: if a polynomial has separable
contraction, then its separable degree is equal to its separable contraction degree.
- `Irreducible.natSepDegree_dvd_natDegree`: the separable degree of an irreducible
polynomial divides its degree.
- `IntermediateField.finSepDegree_adjoin_simple_eq_natSepDegree`: the separable degree of
`F⟮α⟯ / F` is equal to the separable degree of the minimal polynomial of `α` over `F`.
- `IntermediateField.finSepDegree_adjoin_simple_eq_finrank_iff`: if `α` is algebraic over `F`, then
the separable degree of `F⟮α⟯ / F` is equal to the degree of `F⟮α⟯ / F` if and only if `α` is a
separable element.
- `Field.finSepDegree_dvd_finrank`: the separable degree of any field extension `E / F` divides
the degree of `E / F`.
- `Field.finSepDegree_le_finrank`: the separable degree of a finite extension `E / F` is smaller
than the degree of `E / F`.
- `Field.finSepDegree_eq_finrank_iff`: if `E / F` is a finite extension, then its separable degree
is equal to its degree if and only if it is a separable extension.
- `IntermediateField.isSeparable_adjoin_simple_iff_isSeparable`: `F⟮x⟯ / F` is a separable extension
if and only if `x` is a separable element.
- `Algebra.IsSeparable.trans`: if `E / F` and `K / E` are both separable, then `K / F` is also
separable.
## Tags
separable degree, degree, polynomial
-/
open Module Polynomial IntermediateField Field
noncomputable section
universe u v w
variable (F : Type u) (E : Type v) [Field F] [Field E] [Algebra F E]
variable (K : Type w) [Field K] [Algebra F K]
namespace Field
/-- `Field.Emb F E` is the type of `F`-algebra homomorphisms from `E` to the algebraic closure
of `E`. -/
abbrev Emb := E →ₐ[F] AlgebraicClosure E
/-- If `E / F` is an algebraic extension, then the (finite) separable degree of `E / F`
is the number of `F`-algebra homomorphisms from `E` to the algebraic closure of `E`,
as a natural number. It is defined to be zero if there are infinitely many of them.
Note that if `E / F` is not algebraic, then this definition makes no mathematical sense. -/
def finSepDegree : ℕ := Nat.card (Emb F E)
instance instInhabitedEmb : Inhabited (Emb F E) := ⟨IsScalarTower.toAlgHom F E _⟩
instance instNeZeroFinSepDegree [FiniteDimensional F E] : NeZero (finSepDegree F E) :=
⟨Nat.card_ne_zero.2 ⟨inferInstance, Fintype.finite <| minpoly.AlgHom.fintype _ _ _⟩⟩
/-- A random bijection between `Field.Emb F E` and `Field.Emb F K` when `E` and `K` are isomorphic
as `F`-algebras. -/
def embEquivOfEquiv (i : E ≃ₐ[F] K) :
Emb F E ≃ Emb F K := AlgEquiv.arrowCongr i <| AlgEquiv.symm <| by
let _ : Algebra E K := i.toAlgHom.toRingHom.toAlgebra
have : Algebra.IsAlgebraic E K := by
constructor
intro x
have h := isAlgebraic_algebraMap (R := E) (A := K) (i.symm.toAlgHom x)
rw [show ∀ y : E, (algebraMap E K) y = i.toAlgHom y from fun y ↦ rfl] at h
simpa only [AlgEquiv.toAlgHom_eq_coe, AlgHom.coe_coe, AlgEquiv.apply_symm_apply] using h
apply AlgEquiv.restrictScalars (R := F) (S := E)
exact IsAlgClosure.equivOfAlgebraic E K (AlgebraicClosure K) (AlgebraicClosure E)
/-- If `E` and `K` are isomorphic as `F`-algebras, then they have the same `Field.finSepDegree`
over `F`. -/
theorem finSepDegree_eq_of_equiv (i : E ≃ₐ[F] K) :
finSepDegree F E = finSepDegree F K := Nat.card_congr (embEquivOfEquiv F E K i)
@[simp]
theorem finSepDegree_self : finSepDegree F F = 1 := by
have : Cardinal.mk (Emb F F) = 1 := le_antisymm
(Cardinal.le_one_iff_subsingleton.2 AlgHom.subsingleton)
(Cardinal.one_le_iff_ne_zero.2 <| Cardinal.mk_ne_zero _)
rw [finSepDegree, Nat.card, this, Cardinal.one_toNat]
end Field
namespace IntermediateField
@[simp]
theorem finSepDegree_bot : finSepDegree F (⊥ : IntermediateField F E) = 1 := by
rw [finSepDegree_eq_of_equiv _ _ _ (botEquiv F E), finSepDegree_self]
section Tower
variable {F}
variable [Algebra E K] [IsScalarTower F E K]
@[simp]
theorem finSepDegree_bot' : finSepDegree F (⊥ : IntermediateField E K) = finSepDegree F E :=
finSepDegree_eq_of_equiv _ _ _ ((botEquiv E K).restrictScalars F)
@[simp]
theorem finSepDegree_top : finSepDegree F (⊤ : IntermediateField E K) = finSepDegree F K :=
finSepDegree_eq_of_equiv _ _ _ ((topEquiv (F := E) (E := K)).restrictScalars F)
end Tower
end IntermediateField
namespace Field
/-- A random bijection between `Field.Emb F E` and `E →ₐ[F] K` if `E = F(S)` such that every
element `s` of `S` is integral (= algebraic) over `F` and whose minimal polynomial splits in `K`.
Combined with `Field.instInhabitedEmb`, it can be viewed as a stronger version of
`IntermediateField.nonempty_algHom_of_adjoin_splits`. -/
def embEquivOfAdjoinSplits {S : Set E} (hS : adjoin F S = ⊤)
(hK : ∀ s ∈ S, IsIntegral F s ∧ Splits (algebraMap F K) (minpoly F s)) :
Emb F E ≃ (E →ₐ[F] K) :=
have : Algebra.IsAlgebraic F (⊤ : IntermediateField F E) :=
(hS ▸ isAlgebraic_adjoin (S := S) fun x hx ↦ (hK x hx).1)
have halg := (topEquiv (F := F) (E := E)).isAlgebraic
Classical.choice <| Function.Embedding.antisymm
(halg.algHomEmbeddingOfSplits (fun _ ↦ splits_of_mem_adjoin F E (S := S) hK (hS ▸ mem_top)) _)
(halg.algHomEmbeddingOfSplits (fun _ ↦ IsAlgClosed.splits_codomain _) _)
/-- The `Field.finSepDegree F E` is equal to the cardinality of `E →ₐ[F] K`
if `E = F(S)` such that every element
`s` of `S` is integral (= algebraic) over `F` and whose minimal polynomial splits in `K`. -/
theorem finSepDegree_eq_of_adjoin_splits {S : Set E} (hS : adjoin F S = ⊤)
(hK : ∀ s ∈ S, IsIntegral F s ∧ Splits (algebraMap F K) (minpoly F s)) :
finSepDegree F E = Nat.card (E →ₐ[F] K) := Nat.card_congr (embEquivOfAdjoinSplits F E K hS hK)
/-- A random bijection between `Field.Emb F E` and `E →ₐ[F] K` when `E / F` is algebraic
and `K / F` is algebraically closed. -/
def embEquivOfIsAlgClosed [Algebra.IsAlgebraic F E] [IsAlgClosed K] :
Emb F E ≃ (E →ₐ[F] K) :=
embEquivOfAdjoinSplits F E K (adjoin_univ F E) fun s _ ↦
⟨Algebra.IsIntegral.isIntegral s, IsAlgClosed.splits_codomain _⟩
/-- The `Field.finSepDegree F E` is equal to the cardinality of `E →ₐ[F] K` as a natural number,
when `E / F` is algebraic and `K / F` is algebraically closed. -/
@[stacks 09HJ "We use `finSepDegree` to state a more general result."]
theorem finSepDegree_eq_of_isAlgClosed [Algebra.IsAlgebraic F E] [IsAlgClosed K] :
finSepDegree F E = Nat.card (E →ₐ[F] K) := Nat.card_congr (embEquivOfIsAlgClosed F E K)
/-- If `K / E / F` is a field extension tower, such that `K / E` is algebraic,
then there is a non-canonical bijection
`Field.Emb F E × Field.Emb E K ≃ Field.Emb F K`. A corollary of `algHomEquivSigma`. -/
def embProdEmbOfIsAlgebraic [Algebra E K] [IsScalarTower F E K] [Algebra.IsAlgebraic E K] :
Emb F E × Emb E K ≃ Emb F K :=
let e : ∀ f : E →ₐ[F] AlgebraicClosure K,
@AlgHom E K _ _ _ _ _ f.toRingHom.toAlgebra ≃ Emb E K := fun f ↦
(@embEquivOfIsAlgClosed E K _ _ _ _ _ f.toRingHom.toAlgebra).symm
(algHomEquivSigma (A := F) (B := E) (C := K) (D := AlgebraicClosure K) |>.trans
(Equiv.sigmaEquivProdOfEquiv e) |>.trans <| Equiv.prodCongrLeft <|
fun _ : Emb E K ↦ AlgEquiv.arrowCongr (@AlgEquiv.refl F E _ _ _) <|
(IsAlgClosure.equivOfAlgebraic E K (AlgebraicClosure K)
(AlgebraicClosure E)).restrictScalars F).symm
/-- If the field extension `E / F` is transcendental, then `Field.Emb F E` is infinite. -/
instance infinite_emb_of_transcendental [H : Algebra.Transcendental F E] : Infinite (Emb F E) := by
obtain ⟨ι, x, hx⟩ := exists_isTranscendenceBasis' F E
have := hx.isAlgebraic_field
rw [← (embProdEmbOfIsAlgebraic F (adjoin F (Set.range x)) E).infinite_iff]
refine @Prod.infinite_of_left _ _ ?_ _
rw [← (embEquivOfEquiv _ _ _ hx.1.aevalEquivField).infinite_iff]
obtain ⟨i⟩ := hx.nonempty_iff_transcendental.2 H
let K := FractionRing (MvPolynomial ι F)
let i1 := IsScalarTower.toAlgHom F (MvPolynomial ι F) (AlgebraicClosure K)
have hi1 : Function.Injective i1 := by
rw [IsScalarTower.coe_toAlgHom', IsScalarTower.algebraMap_eq _ K]
exact (algebraMap K (AlgebraicClosure K)).injective.comp (IsFractionRing.injective _ _)
let f (n : ℕ) : Emb F K := IsFractionRing.liftAlgHom
(g := i1.comp <| MvPolynomial.aeval fun i : ι ↦ MvPolynomial.X i ^ (n + 1)) <| hi1.comp <| by
simpa [algebraicIndependent_iff_injective_aeval] using
MvPolynomial.algebraicIndependent_polynomial_aeval_X _
fun i : ι ↦ (Polynomial.transcendental_X F).pow n.succ_pos
refine Infinite.of_injective f fun m n h ↦ ?_
replace h : (MvPolynomial.X i) ^ (m + 1) = (MvPolynomial.X i) ^ (n + 1) := hi1 <| by
simpa [f, -map_pow] using congr($h (algebraMap _ K (MvPolynomial.X (R := F) i)))
simpa using congr(MvPolynomial.totalDegree $h)
/-- If the field extension `E / F` is transcendental, then `Field.finSepDegree F E = 0`, which
actually means that `Field.Emb F E` is infinite (see `Field.infinite_emb_of_transcendental`). -/
theorem finSepDegree_eq_zero_of_transcendental [Algebra.Transcendental F E] :
finSepDegree F E = 0 := Nat.card_eq_zero_of_infinite
/-- If `K / E / F` is a field extension tower, such that `K / E` is algebraic, then their
separable degrees satisfy the tower law
$[E:F]_s [K:E]_s = [K:F]_s$. See also `Module.finrank_mul_finrank`. -/
@[stacks 09HK "Part 1, `finSepDegree` variant"]
theorem finSepDegree_mul_finSepDegree_of_isAlgebraic
[Algebra E K] [IsScalarTower F E K] [Algebra.IsAlgebraic E K] :
finSepDegree F E * finSepDegree E K = finSepDegree F K := by
simpa only [Nat.card_prod] using Nat.card_congr (embProdEmbOfIsAlgebraic F E K)
end Field
namespace Polynomial
variable {F E}
variable (f : F[X])
open Classical in
/-- The separable degree `Polynomial.natSepDegree` of a polynomial is a natural number,
defined to be the number of distinct roots of it over its splitting field.
This is similar to `Polynomial.natDegree` but not to `Polynomial.degree`, namely, the separable
degree of `0` is `0`, not negative infinity. -/
def natSepDegree : ℕ := (f.aroots f.SplittingField).toFinset.card
/-- The separable degree of a polynomial is smaller than its degree. -/
theorem natSepDegree_le_natDegree : f.natSepDegree ≤ f.natDegree := by
have := f.map (algebraMap F f.SplittingField) |>.card_roots'
rw [← aroots_def, natDegree_map] at this
classical
exact (f.aroots f.SplittingField).toFinset_card_le.trans this
@[simp]
theorem natSepDegree_X_sub_C (x : F) : (X - C x).natSepDegree = 1 := by
simp only [natSepDegree, aroots_X_sub_C, Multiset.toFinset_singleton, Finset.card_singleton]
@[simp]
theorem natSepDegree_X : (X : F[X]).natSepDegree = 1 := by
simp only [natSepDegree, aroots_X, Multiset.toFinset_singleton, Finset.card_singleton]
/-- A constant polynomial has zero separable degree. -/
theorem natSepDegree_eq_zero (h : f.natDegree = 0) : f.natSepDegree = 0 := by
linarith only [natSepDegree_le_natDegree f, h]
@[simp]
theorem natSepDegree_C (x : F) : (C x).natSepDegree = 0 := natSepDegree_eq_zero _ (natDegree_C _)
@[simp]
theorem natSepDegree_zero : (0 : F[X]).natSepDegree = 0 := by
rw [← C_0, natSepDegree_C]
@[simp]
theorem natSepDegree_one : (1 : F[X]).natSepDegree = 0 := by
rw [← C_1, natSepDegree_C]
/-- A non-constant polynomial has non-zero separable degree. -/
theorem natSepDegree_ne_zero (h : f.natDegree ≠ 0) : f.natSepDegree ≠ 0 := by
rw [natSepDegree, ne_eq, Finset.card_eq_zero, ← ne_eq, ← Finset.nonempty_iff_ne_empty]
use rootOfSplits _ (SplittingField.splits f) (ne_of_apply_ne _ h)
classical
rw [Multiset.mem_toFinset, mem_aroots]
exact ⟨ne_of_apply_ne _ h, map_rootOfSplits _ (SplittingField.splits f) (ne_of_apply_ne _ h)⟩
/-- A polynomial has zero separable degree if and only if it is constant. -/
theorem natSepDegree_eq_zero_iff : f.natSepDegree = 0 ↔ f.natDegree = 0 :=
⟨(natSepDegree_ne_zero f).mtr, natSepDegree_eq_zero f⟩
/-- A polynomial has non-zero separable degree if and only if it is non-constant. -/
theorem natSepDegree_ne_zero_iff : f.natSepDegree ≠ 0 ↔ f.natDegree ≠ 0 :=
Iff.not <| natSepDegree_eq_zero_iff f
/-- The separable degree of a non-zero polynomial is equal to its degree if and only if
it is separable. -/
theorem natSepDegree_eq_natDegree_iff (hf : f ≠ 0) :
f.natSepDegree = f.natDegree ↔ f.Separable := by
classical
simp_rw [← card_rootSet_eq_natDegree_iff_of_splits hf (SplittingField.splits f),
rootSet_def, Finset.coe_sort_coe, Fintype.card_coe]
rfl
/-- If a polynomial is separable, then its separable degree is equal to its degree. -/
theorem natSepDegree_eq_natDegree_of_separable (h : f.Separable) :
f.natSepDegree = f.natDegree := (natSepDegree_eq_natDegree_iff f h.ne_zero).2 h
|
variable {f} in
/-- Same as `Polynomial.natSepDegree_eq_natDegree_of_separable`, but enables the use of
| Mathlib/FieldTheory/SeparableDegree.lean | 357 | 359 |
/-
Copyright (c) 2022 Joseph Myers. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Joseph Myers
-/
import Mathlib.Algebra.CharP.Invertible
import Mathlib.Algebra.Order.Interval.Set.Group
import Mathlib.Analysis.Convex.Basic
import Mathlib.Analysis.Convex.Segment
import Mathlib.LinearAlgebra.AffineSpace.FiniteDimensional
import Mathlib.Tactic.FieldSimp
/-!
# Betweenness in affine spaces
This file defines notions of a point in an affine space being between two given points.
## Main definitions
* `affineSegment R x y`: The segment of points weakly between `x` and `y`.
* `Wbtw R x y z`: The point `y` is weakly between `x` and `z`.
* `Sbtw R x y z`: The point `y` is strictly between `x` and `z`.
-/
variable (R : Type*) {V V' P P' : Type*}
open AffineEquiv AffineMap
section OrderedRing
/-- The segment of points weakly between `x` and `y`. When convexity is refactored to support
abstract affine combination spaces, this will no longer need to be a separate definition from
`segment`. However, lemmas involving `+ᵥ` or `-ᵥ` will still be relevant after such a
refactoring, as distinct from versions involving `+` or `-` in a module. -/
def affineSegment [Ring R] [PartialOrder R] [AddCommGroup V] [Module R V]
[AddTorsor V P] (x y : P) :=
lineMap x y '' Set.Icc (0 : R) 1
variable [Ring R] [PartialOrder R] [AddCommGroup V] [Module R V] [AddTorsor V P]
variable [AddCommGroup V'] [Module R V'] [AddTorsor V' P']
variable {R} in
@[simp]
theorem affineSegment_image (f : P →ᵃ[R] P') (x y : P) :
f '' affineSegment R x y = affineSegment R (f x) (f y) := by
rw [affineSegment, affineSegment, Set.image_image, ← comp_lineMap]
rfl
@[simp]
theorem affineSegment_const_vadd_image (x y : P) (v : V) :
(v +ᵥ ·) '' affineSegment R x y = affineSegment R (v +ᵥ x) (v +ᵥ y) :=
affineSegment_image (AffineEquiv.constVAdd R P v : P →ᵃ[R] P) x y
@[simp]
theorem affineSegment_vadd_const_image (x y : V) (p : P) :
(· +ᵥ p) '' affineSegment R x y = affineSegment R (x +ᵥ p) (y +ᵥ p) :=
affineSegment_image (AffineEquiv.vaddConst R p : V →ᵃ[R] P) x y
@[simp]
theorem affineSegment_const_vsub_image (x y p : P) :
(p -ᵥ ·) '' affineSegment R x y = affineSegment R (p -ᵥ x) (p -ᵥ y) :=
affineSegment_image (AffineEquiv.constVSub R p : P →ᵃ[R] V) x y
@[simp]
theorem affineSegment_vsub_const_image (x y p : P) :
(· -ᵥ p) '' affineSegment R x y = affineSegment R (x -ᵥ p) (y -ᵥ p) :=
affineSegment_image ((AffineEquiv.vaddConst R p).symm : P →ᵃ[R] V) x y
variable {R}
@[simp]
theorem mem_const_vadd_affineSegment {x y z : P} (v : V) :
v +ᵥ z ∈ affineSegment R (v +ᵥ x) (v +ᵥ y) ↔ z ∈ affineSegment R x y := by
rw [← affineSegment_const_vadd_image, (AddAction.injective v).mem_set_image]
@[simp]
theorem mem_vadd_const_affineSegment {x y z : V} (p : P) :
z +ᵥ p ∈ affineSegment R (x +ᵥ p) (y +ᵥ p) ↔ z ∈ affineSegment R x y := by
rw [← affineSegment_vadd_const_image, (vadd_right_injective p).mem_set_image]
@[simp]
theorem mem_const_vsub_affineSegment {x y z : P} (p : P) :
p -ᵥ z ∈ affineSegment R (p -ᵥ x) (p -ᵥ y) ↔ z ∈ affineSegment R x y := by
rw [← affineSegment_const_vsub_image, (vsub_right_injective p).mem_set_image]
@[simp]
theorem mem_vsub_const_affineSegment {x y z : P} (p : P) :
z -ᵥ p ∈ affineSegment R (x -ᵥ p) (y -ᵥ p) ↔ z ∈ affineSegment R x y := by
rw [← affineSegment_vsub_const_image, (vsub_left_injective p).mem_set_image]
variable (R)
section OrderedRing
variable [IsOrderedRing R]
theorem affineSegment_eq_segment (x y : V) : affineSegment R x y = segment R x y := by
rw [segment_eq_image_lineMap, affineSegment]
theorem affineSegment_comm (x y : P) : affineSegment R x y = affineSegment R y x := by
refine Set.ext fun z => ?_
constructor <;>
· rintro ⟨t, ht, hxy⟩
refine ⟨1 - t, ?_, ?_⟩
· rwa [Set.sub_mem_Icc_iff_right, sub_self, sub_zero]
· rwa [lineMap_apply_one_sub]
theorem left_mem_affineSegment (x y : P) : x ∈ affineSegment R x y :=
⟨0, Set.left_mem_Icc.2 zero_le_one, lineMap_apply_zero _ _⟩
theorem right_mem_affineSegment (x y : P) : y ∈ affineSegment R x y :=
⟨1, Set.right_mem_Icc.2 zero_le_one, lineMap_apply_one _ _⟩
@[simp]
theorem affineSegment_same (x : P) : affineSegment R x x = {x} := by
simp_rw [affineSegment, lineMap_same, AffineMap.coe_const, Function.const,
(Set.nonempty_Icc.mpr zero_le_one).image_const]
end OrderedRing
/-- The point `y` is weakly between `x` and `z`. -/
def Wbtw (x y z : P) : Prop :=
y ∈ affineSegment R x z
/-- The point `y` is strictly between `x` and `z`. -/
def Sbtw (x y z : P) : Prop :=
| Wbtw R x y z ∧ y ≠ x ∧ y ≠ z
variable {R}
| Mathlib/Analysis/Convex/Between.lean | 128 | 130 |
/-
Copyright (c) 2020 Nicolò Cavalleri. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Nicolò Cavalleri, Andrew Yang
-/
import Mathlib.RingTheory.Derivation.ToSquareZero
import Mathlib.RingTheory.Ideal.Cotangent
import Mathlib.RingTheory.IsTensorProduct
import Mathlib.RingTheory.EssentialFiniteness
import Mathlib.Algebra.Exact
import Mathlib.LinearAlgebra.TensorProduct.RightExactness
/-!
# The module of kaehler differentials
## Main results
- `KaehlerDifferential`: The module of kaehler differentials. For an `R`-algebra `S`, we provide
the notation `Ω[S⁄R]` for `KaehlerDifferential R S`.
Note that the slash is `\textfractionsolidus`.
- `KaehlerDifferential.D`: The derivation into the module of kaehler differentials.
- `KaehlerDifferential.span_range_derivation`: The image of `D` spans `Ω[S⁄R]` as an `S`-module.
- `KaehlerDifferential.linearMapEquivDerivation`:
The isomorphism `Hom_R(Ω[S⁄R], M) ≃ₗ[S] Der_R(S, M)`.
- `KaehlerDifferential.quotKerTotalEquiv`: An alternative description of `Ω[S⁄R]` as `S` copies
of `S` with kernel (`KaehlerDifferential.kerTotal`) generated by the relations:
1. `dx + dy = d(x + y)`
2. `x dy + y dx = d(x * y)`
3. `dr = 0` for `r ∈ R`
- `KaehlerDifferential.map`: Given a map between the arrows `R →+* A` and `S →+* B`, we have an
`A`-linear map `Ω[A⁄R] → Ω[B⁄S]`.
- `KaehlerDifferential.map_surjective`:
The sequence `Ω[B⁄R] → Ω[B⁄A] → 0` is exact.
- `KaehlerDifferential.exact_mapBaseChange_map`:
The sequence `B ⊗[A] Ω[A⁄R] → Ω[B⁄R] → Ω[B⁄A]` is exact.
- `KaehlerDifferential.exact_kerCotangentToTensor_mapBaseChange`:
If `A → B` is surjective with kernel `I`, then
the sequence `I/I² → B ⊗[A] Ω[A⁄R] → Ω[B⁄R]` is exact.
- `KaehlerDifferential.mapBaseChange_surjective`:
If `A → B` is surjective, then the sequence `B ⊗[A] Ω[A⁄R] → Ω[B⁄R] → 0` is exact.
## Future project
- Define the `IsKaehlerDifferential` predicate.
-/
suppress_compilation
section KaehlerDifferential
open scoped TensorProduct
open Algebra Finsupp
universe u v
variable (R : Type u) (S : Type v) [CommRing R] [CommRing S] [Algebra R S]
/-- The kernel of the multiplication map `S ⊗[R] S →ₐ[R] S`. -/
abbrev KaehlerDifferential.ideal : Ideal (S ⊗[R] S) :=
RingHom.ker (TensorProduct.lmul' R : S ⊗[R] S →ₐ[R] S)
variable {S}
theorem KaehlerDifferential.one_smul_sub_smul_one_mem_ideal (a : S) :
(1 : S) ⊗ₜ[R] a - a ⊗ₜ[R] (1 : S) ∈ KaehlerDifferential.ideal R S := by simp [RingHom.mem_ker]
variable {R}
variable {M : Type*} [AddCommGroup M] [Module R M] [Module S M] [IsScalarTower R S M]
/-- For a `R`-derivation `S → M`, this is the map `S ⊗[R] S →ₗ[S] M` sending `s ⊗ₜ t ↦ s • D t`. -/
def Derivation.tensorProductTo (D : Derivation R S M) : S ⊗[R] S →ₗ[S] M :=
TensorProduct.AlgebraTensorModule.lift ((LinearMap.lsmul S (S →ₗ[R] M)).flip D.toLinearMap)
theorem Derivation.tensorProductTo_tmul (D : Derivation R S M) (s t : S) :
D.tensorProductTo (s ⊗ₜ t) = s • D t := rfl
theorem Derivation.tensorProductTo_mul (D : Derivation R S M) (x y : S ⊗[R] S) :
D.tensorProductTo (x * y) =
TensorProduct.lmul' (S := S) R x • D.tensorProductTo y +
TensorProduct.lmul' (S := S) R y • D.tensorProductTo x := by
refine TensorProduct.induction_on x ?_ ?_ ?_
· rw [zero_mul, map_zero, map_zero, zero_smul, smul_zero, add_zero]
swap
· intro x₁ y₁ h₁ h₂
rw [add_mul, map_add, map_add, map_add, add_smul, smul_add, h₁, h₂, add_add_add_comm]
intro x₁ x₂
refine TensorProduct.induction_on y ?_ ?_ ?_
· rw [mul_zero, map_zero, map_zero, zero_smul, smul_zero, add_zero]
swap
· intro x₁ y₁ h₁ h₂
rw [mul_add, map_add, map_add, map_add, add_smul, smul_add, h₁, h₂, add_add_add_comm]
intro x y
simp only [TensorProduct.tmul_mul_tmul, Derivation.tensorProductTo,
TensorProduct.AlgebraTensorModule.lift_apply, TensorProduct.lift.tmul',
TensorProduct.lmul'_apply_tmul]
dsimp
rw [D.leibniz]
simp only [smul_smul, smul_add, mul_comm (x * y) x₁, mul_right_comm x₁ x₂, ← mul_assoc]
variable (R S)
/-- The kernel of `S ⊗[R] S →ₐ[R] S` is generated by `1 ⊗ s - s ⊗ 1` as a `S`-module. -/
theorem KaehlerDifferential.submodule_span_range_eq_ideal :
Submodule.span S (Set.range fun s : S => (1 : S) ⊗ₜ[R] s - s ⊗ₜ[R] (1 : S)) =
(KaehlerDifferential.ideal R S).restrictScalars S := by
apply le_antisymm
· rw [Submodule.span_le]
rintro _ ⟨s, rfl⟩
exact KaehlerDifferential.one_smul_sub_smul_one_mem_ideal _ _
· rintro x (hx : _ = _)
have : x - TensorProduct.lmul' (S := S) R x ⊗ₜ[R] (1 : S) = x := by
rw [hx, TensorProduct.zero_tmul, sub_zero]
rw [← this]
clear this hx
refine TensorProduct.induction_on x ?_ ?_ ?_
· rw [map_zero, TensorProduct.zero_tmul, sub_zero]; exact zero_mem _
· intro x y
have : x ⊗ₜ[R] y - (x * y) ⊗ₜ[R] (1 : S) = x • ((1 : S) ⊗ₜ y - y ⊗ₜ (1 : S)) := by
simp_rw [smul_sub, TensorProduct.smul_tmul', smul_eq_mul, mul_one]
rw [TensorProduct.lmul'_apply_tmul, this]
refine Submodule.smul_mem _ x ?_
apply Submodule.subset_span
exact Set.mem_range_self y
· intro x y hx hy
rw [map_add, TensorProduct.add_tmul, ← sub_add_sub_comm]
exact add_mem hx hy
theorem KaehlerDifferential.span_range_eq_ideal :
Ideal.span (Set.range fun s : S => (1 : S) ⊗ₜ[R] s - s ⊗ₜ[R] (1 : S)) =
KaehlerDifferential.ideal R S := by
apply le_antisymm
· rw [Ideal.span_le]
rintro _ ⟨s, rfl⟩
exact KaehlerDifferential.one_smul_sub_smul_one_mem_ideal _ _
· change (KaehlerDifferential.ideal R S).restrictScalars S ≤ (Ideal.span _).restrictScalars S
rw [← KaehlerDifferential.submodule_span_range_eq_ideal, Ideal.span]
conv_rhs => rw [← Submodule.span_span_of_tower S]
exact Submodule.subset_span
/-- The module of Kähler differentials (Kahler differentials, Kaehler differentials).
This is implemented as `I / I ^ 2` with `I` the kernel of the multiplication map `S ⊗[R] S →ₐ[R] S`.
To view elements as a linear combination of the form `s • D s'`, use
`KaehlerDifferential.tensorProductTo_surjective` and `Derivation.tensorProductTo_tmul`.
We also provide the notation `Ω[S⁄R]` for `KaehlerDifferential R S`.
Note that the slash is `\textfractionsolidus`.
-/
def KaehlerDifferential : Type v :=
(KaehlerDifferential.ideal R S).Cotangent
instance : AddCommGroup (KaehlerDifferential R S) := inferInstanceAs <|
AddCommGroup (KaehlerDifferential.ideal R S).Cotangent
instance KaehlerDifferential.module : Module (S ⊗[R] S) (KaehlerDifferential R S) :=
Ideal.Cotangent.moduleOfTower _
@[inherit_doc KaehlerDifferential]
notation:100 "Ω[" S "⁄" R "]" => KaehlerDifferential R S
instance : Nonempty (Ω[S⁄R]) := ⟨0⟩
instance KaehlerDifferential.module' {R' : Type*} [CommRing R'] [Algebra R' S]
[SMulCommClass R R' S] :
Module R' (Ω[S⁄R]) :=
Submodule.Quotient.module' _
instance : IsScalarTower S (S ⊗[R] S) (Ω[S⁄R]) :=
Ideal.Cotangent.isScalarTower _
instance KaehlerDifferential.isScalarTower_of_tower {R₁ R₂ : Type*} [CommRing R₁] [CommRing R₂]
[Algebra R₁ S] [Algebra R₂ S] [SMul R₁ R₂]
[SMulCommClass R R₁ S] [SMulCommClass R R₂ S] [IsScalarTower R₁ R₂ S] :
IsScalarTower R₁ R₂ (Ω[S⁄R]) :=
Submodule.Quotient.isScalarTower _ _
instance KaehlerDifferential.isScalarTower' : IsScalarTower R (S ⊗[R] S) (Ω[S⁄R]) :=
Submodule.Quotient.isScalarTower _ _
/-- The quotient map `I → Ω[S⁄R]` with `I` being the kernel of `S ⊗[R] S → S`. -/
def KaehlerDifferential.fromIdeal : KaehlerDifferential.ideal R S →ₗ[S ⊗[R] S] Ω[S⁄R] :=
(KaehlerDifferential.ideal R S).toCotangent
/-- (Implementation) The underlying linear map of the derivation into `Ω[S⁄R]`. -/
def KaehlerDifferential.DLinearMap : S →ₗ[R] Ω[S⁄R] :=
((KaehlerDifferential.fromIdeal R S).restrictScalars R).comp
((TensorProduct.includeRight.toLinearMap - TensorProduct.includeLeft.toLinearMap :
S →ₗ[R] S ⊗[R] S).codRestrict
((KaehlerDifferential.ideal R S).restrictScalars R)
(KaehlerDifferential.one_smul_sub_smul_one_mem_ideal R) :
_ →ₗ[R] _)
theorem KaehlerDifferential.DLinearMap_apply (s : S) :
KaehlerDifferential.DLinearMap R S s =
(KaehlerDifferential.ideal R S).toCotangent
⟨1 ⊗ₜ s - s ⊗ₜ 1, KaehlerDifferential.one_smul_sub_smul_one_mem_ideal R s⟩ := rfl
/-- The universal derivation into `Ω[S⁄R]`. -/
def KaehlerDifferential.D : Derivation R S (Ω[S⁄R]) :=
{ toLinearMap := KaehlerDifferential.DLinearMap R S
map_one_eq_zero' := by
dsimp [KaehlerDifferential.DLinearMap_apply, Ideal.toCotangent_apply]
congr
rw [sub_self]
leibniz' := fun a b => by
have : LinearMap.CompatibleSMul { x // x ∈ ideal R S } (Ω[S⁄R]) S (S ⊗[R] S) := inferInstance
dsimp [KaehlerDifferential.DLinearMap_apply]
rw [← LinearMap.map_smul_of_tower (ideal R S).toCotangent,
← LinearMap.map_smul_of_tower (ideal R S).toCotangent,
← map_add (ideal R S).toCotangent, Ideal.toCotangent_eq, pow_two]
convert Submodule.mul_mem_mul (KaehlerDifferential.one_smul_sub_smul_one_mem_ideal R a :)
(KaehlerDifferential.one_smul_sub_smul_one_mem_ideal R b :) using 1
simp only [AddSubgroupClass.coe_sub, Submodule.coe_add, Submodule.coe_mk,
TensorProduct.tmul_mul_tmul, mul_sub, sub_mul, mul_comm b, Submodule.coe_smul_of_tower,
smul_sub, TensorProduct.smul_tmul', smul_eq_mul, mul_one]
ring_nf }
theorem KaehlerDifferential.D_apply (s : S) :
KaehlerDifferential.D R S s =
(KaehlerDifferential.ideal R S).toCotangent
⟨1 ⊗ₜ s - s ⊗ₜ 1, KaehlerDifferential.one_smul_sub_smul_one_mem_ideal R s⟩ := rfl
theorem KaehlerDifferential.span_range_derivation :
Submodule.span S (Set.range <| KaehlerDifferential.D R S) = ⊤ := by
rw [_root_.eq_top_iff]
rintro x -
obtain ⟨⟨x, hx⟩, rfl⟩ := Ideal.toCotangent_surjective _ x
have : x ∈ (KaehlerDifferential.ideal R S).restrictScalars S := hx
rw [← KaehlerDifferential.submodule_span_range_eq_ideal] at this
suffices ∃ hx, (KaehlerDifferential.ideal R S).toCotangent ⟨x, hx⟩ ∈
Submodule.span S (Set.range <| KaehlerDifferential.D R S) by
exact this.choose_spec
refine Submodule.span_induction ?_ ?_ ?_ ?_ this
· rintro _ ⟨x, rfl⟩
refine ⟨KaehlerDifferential.one_smul_sub_smul_one_mem_ideal R x, ?_⟩
apply Submodule.subset_span
exact ⟨x, KaehlerDifferential.DLinearMap_apply R S x⟩
· exact ⟨zero_mem _, Submodule.zero_mem _⟩
· rintro x y - - ⟨hx₁, hx₂⟩ ⟨hy₁, hy₂⟩; exact ⟨add_mem hx₁ hy₁, Submodule.add_mem _ hx₂ hy₂⟩
· rintro r x - ⟨hx₁, hx₂⟩
exact ⟨((KaehlerDifferential.ideal R S).restrictScalars S).smul_mem r hx₁,
Submodule.smul_mem _ r hx₂⟩
/-- `Ω[S⁄R]` is trivial if `R → S` is surjective.
Also see `Algebra.FormallyUnramified.iff_subsingleton_kaehlerDifferential`. -/
lemma KaehlerDifferential.subsingleton_of_surjective (h : Function.Surjective (algebraMap R S)) :
Subsingleton (Ω[S⁄R]) := by
suffices (⊤ : Submodule S (Ω[S⁄R])) ≤ ⊥ from
(subsingleton_iff_forall_eq 0).mpr fun y ↦ this trivial
rw [← KaehlerDifferential.span_range_derivation, Submodule.span_le]
rintro _ ⟨x, rfl⟩; obtain ⟨x, rfl⟩ := h x; simp
variable {R S}
/-- The linear map from `Ω[S⁄R]`, associated with a derivation. -/
def Derivation.liftKaehlerDifferential (D : Derivation R S M) : Ω[S⁄R] →ₗ[S] M := by
refine LinearMap.comp ((((KaehlerDifferential.ideal R S) •
(⊤ : Submodule (S ⊗[R] S) (KaehlerDifferential.ideal R S))).restrictScalars S).liftQ ?_ ?_)
(Submodule.Quotient.restrictScalarsEquiv S _).symm.toLinearMap
· exact D.tensorProductTo.comp ((KaehlerDifferential.ideal R S).subtype.restrictScalars S)
· intro x hx
rw [LinearMap.mem_ker]
refine Submodule.smul_induction_on ((Submodule.restrictScalars_mem _ _ _).mp hx) ?_ ?_
· rintro x hx y -
rw [RingHom.mem_ker] at hx
dsimp
rw [Derivation.tensorProductTo_mul, hx, y.prop, zero_smul, zero_smul, zero_add]
· intro x y ex ey; rw [map_add, ex, ey, zero_add]
theorem Derivation.liftKaehlerDifferential_apply (D : Derivation R S M) (x) :
D.liftKaehlerDifferential ((KaehlerDifferential.ideal R S).toCotangent x) =
D.tensorProductTo x := rfl
theorem Derivation.liftKaehlerDifferential_comp (D : Derivation R S M) :
D.liftKaehlerDifferential.compDer (KaehlerDifferential.D R S) = D := by
ext a
dsimp [KaehlerDifferential.D_apply]
refine (D.liftKaehlerDifferential_apply _).trans ?_
rw [Subtype.coe_mk, map_sub, Derivation.tensorProductTo_tmul, Derivation.tensorProductTo_tmul,
one_smul, D.map_one_eq_zero, smul_zero, sub_zero]
@[simp]
theorem Derivation.liftKaehlerDifferential_comp_D (D' : Derivation R S M) (x : S) :
D'.liftKaehlerDifferential (KaehlerDifferential.D R S x) = D' x :=
Derivation.congr_fun D'.liftKaehlerDifferential_comp x
@[ext]
theorem Derivation.liftKaehlerDifferential_unique (f f' : Ω[S⁄R] →ₗ[S] M)
(hf : f.compDer (KaehlerDifferential.D R S) = f'.compDer (KaehlerDifferential.D R S)) :
f = f' := by
apply LinearMap.ext
intro x
have : x ∈ Submodule.span S (Set.range <| KaehlerDifferential.D R S) := by
rw [KaehlerDifferential.span_range_derivation]; trivial
refine Submodule.span_induction ?_ ?_ ?_ ?_ this
· rintro _ ⟨x, rfl⟩; exact congr_arg (fun D : Derivation R S M => D x) hf
· rw [map_zero, map_zero]
· intro x y _ _ hx hy; rw [map_add, map_add, hx, hy]
· intro a x _ e; simp [e]
variable (R S)
theorem Derivation.liftKaehlerDifferential_D :
(KaehlerDifferential.D R S).liftKaehlerDifferential = LinearMap.id :=
Derivation.liftKaehlerDifferential_unique _ _
(KaehlerDifferential.D R S).liftKaehlerDifferential_comp
variable {R S}
theorem KaehlerDifferential.D_tensorProductTo (x : KaehlerDifferential.ideal R S) :
(KaehlerDifferential.D R S).tensorProductTo x =
(KaehlerDifferential.ideal R S).toCotangent x := by
rw [← Derivation.liftKaehlerDifferential_apply, Derivation.liftKaehlerDifferential_D]
rfl
variable (R S)
theorem KaehlerDifferential.tensorProductTo_surjective :
Function.Surjective (KaehlerDifferential.D R S).tensorProductTo := by
intro x; obtain ⟨x, rfl⟩ := (KaehlerDifferential.ideal R S).toCotangent_surjective x
exact ⟨x, KaehlerDifferential.D_tensorProductTo x⟩
/-- The `S`-linear maps from `Ω[S⁄R]` to `M` are (`S`-linearly) equivalent to `R`-derivations
from `S` to `M`. -/
@[simps! symm_apply apply_apply]
def KaehlerDifferential.linearMapEquivDerivation : (Ω[S⁄R] →ₗ[S] M) ≃ₗ[S] Derivation R S M :=
{ Derivation.llcomp.flip <| KaehlerDifferential.D R S with
invFun := Derivation.liftKaehlerDifferential
left_inv := fun _ =>
Derivation.liftKaehlerDifferential_unique _ _ (Derivation.liftKaehlerDifferential_comp _)
right_inv := Derivation.liftKaehlerDifferential_comp }
/-- The quotient ring of `S ⊗ S ⧸ J ^ 2` by `Ω[S⁄R]` is isomorphic to `S`. -/
def KaehlerDifferential.quotientCotangentIdealRingEquiv :
(S ⊗ S ⧸ KaehlerDifferential.ideal R S ^ 2) ⧸ (KaehlerDifferential.ideal R S).cotangentIdeal ≃+*
S := by
have : Function.RightInverse (TensorProduct.includeLeft (R := R) (S := R) (A := S) (B := S))
(↑(TensorProduct.lmul' R : S ⊗[R] S →ₐ[R] S) : S ⊗[R] S →+* S) := by
intro x; rw [AlgHom.coe_toRingHom, ← AlgHom.comp_apply, TensorProduct.lmul'_comp_includeLeft]
rfl
refine (Ideal.quotCotangent _).trans ?_
refine (Ideal.quotEquivOfEq ?_).trans (RingHom.quotientKerEquivOfRightInverse this)
ext; rfl
/-- The quotient ring of `S ⊗ S ⧸ J ^ 2` by `Ω[S⁄R]` is isomorphic to `S` as an `S`-algebra. -/
def KaehlerDifferential.quotientCotangentIdeal :
((S ⊗ S ⧸ KaehlerDifferential.ideal R S ^ 2) ⧸
(KaehlerDifferential.ideal R S).cotangentIdeal) ≃ₐ[S] S :=
{ KaehlerDifferential.quotientCotangentIdealRingEquiv R S with
commutes' := (KaehlerDifferential.quotientCotangentIdealRingEquiv R S).apply_symm_apply }
theorem KaehlerDifferential.End_equiv_aux (f : S →ₐ[R] S ⊗ S ⧸ KaehlerDifferential.ideal R S ^ 2) :
(Ideal.Quotient.mkₐ R (KaehlerDifferential.ideal R S).cotangentIdeal).comp f =
IsScalarTower.toAlgHom R S _ ↔
(TensorProduct.lmul' R : S ⊗[R] S →ₐ[R] S).kerSquareLift.comp f = AlgHom.id R S := by
rw [AlgHom.ext_iff, AlgHom.ext_iff]
apply forall_congr'
intro x
have e₁ : (TensorProduct.lmul' R : S ⊗[R] S →ₐ[R] S).kerSquareLift (f x) =
KaehlerDifferential.quotientCotangentIdealRingEquiv R S
(Ideal.Quotient.mk (KaehlerDifferential.ideal R S).cotangentIdeal <| f x) := by
generalize f x = y; obtain ⟨y, rfl⟩ := Ideal.Quotient.mk_surjective y; rfl
have e₂ :
x = KaehlerDifferential.quotientCotangentIdealRingEquiv R S (IsScalarTower.toAlgHom R S _ x) :=
(mul_one x).symm
constructor
· intro e
exact (e₁.trans (@RingEquiv.congr_arg _ _ _ _ _ _
(KaehlerDifferential.quotientCotangentIdealRingEquiv R S) _ _ e)).trans e₂.symm
· intro e; apply (KaehlerDifferential.quotientCotangentIdealRingEquiv R S).injective
exact e₁.symm.trans (e.trans e₂)
/- Note: Lean is slow to synthesize these instances (times out).
Without them the endEquivDerivation' and endEquivAuxEquiv both have significant timeouts.
In Mathlib 3, it was slow but not this slow. -/
/-- A shortcut instance to prevent timing out. Hopefully to be removed in the future. -/
local instance smul_SSmod_SSmod : SMul (S ⊗[R] S ⧸ KaehlerDifferential.ideal R S ^ 2)
(S ⊗[R] S ⧸ KaehlerDifferential.ideal R S ^ 2) := Mul.toSMul _
/-- A shortcut instance to prevent timing out. Hopefully to be removed in the future. -/
@[nolint defLemma]
local instance isScalarTower_S_right :
IsScalarTower S (S ⊗[R] S ⧸ KaehlerDifferential.ideal R S ^ 2)
(S ⊗[R] S ⧸ KaehlerDifferential.ideal R S ^ 2) := Ideal.Quotient.isScalarTower_right
/-- A shortcut instance to prevent timing out. Hopefully to be removed in the future. -/
@[nolint defLemma]
local instance isScalarTower_R_right :
IsScalarTower R (S ⊗[R] S ⧸ KaehlerDifferential.ideal R S ^ 2)
(S ⊗[R] S ⧸ KaehlerDifferential.ideal R S ^ 2) := Ideal.Quotient.isScalarTower_right
/-- A shortcut instance to prevent timing out. Hopefully to be removed in the future. -/
@[nolint defLemma]
local instance isScalarTower_SS_right : IsScalarTower (S ⊗[R] S)
(S ⊗[R] S ⧸ KaehlerDifferential.ideal R S ^ 2) (S ⊗[R] S ⧸ KaehlerDifferential.ideal R S ^ 2) :=
Ideal.Quotient.isScalarTower_right
/-- A shortcut instance to prevent timing out. Hopefully to be removed in the future. -/
local instance instS : Module S (KaehlerDifferential.ideal R S).cotangentIdeal :=
Submodule.module' _
/-- A shortcut instance to prevent timing out. Hopefully to be removed in the future. -/
local instance instR : Module R (KaehlerDifferential.ideal R S).cotangentIdeal :=
Submodule.module' _
/-- A shortcut instance to prevent timing out. Hopefully to be removed in the future. -/
local instance instSS : Module (S ⊗[R] S) (KaehlerDifferential.ideal R S).cotangentIdeal :=
Submodule.module' _
/-- Derivations into `Ω[S⁄R]` is equivalent to derivations
into `(KaehlerDifferential.ideal R S).cotangentIdeal`. -/
noncomputable def KaehlerDifferential.endEquivDerivation' :
Derivation R S (Ω[S⁄R]) ≃ₗ[R] Derivation R S (ideal R S).cotangentIdeal :=
LinearEquiv.compDer ((KaehlerDifferential.ideal R S).cotangentEquivIdeal.restrictScalars S)
/-- (Implementation) An `Equiv` version of `KaehlerDifferential.End_equiv_aux`.
Used in `KaehlerDifferential.endEquiv`. -/
def KaehlerDifferential.endEquivAuxEquiv :
{ f //
(Ideal.Quotient.mkₐ R (KaehlerDifferential.ideal R S).cotangentIdeal).comp f =
IsScalarTower.toAlgHom R S _ } ≃
{ f // (TensorProduct.lmul' R : S ⊗[R] S →ₐ[R] S).kerSquareLift.comp f = AlgHom.id R S } :=
(Equiv.refl _).subtypeEquiv (KaehlerDifferential.End_equiv_aux R S)
/--
The endomorphisms of `Ω[S⁄R]` corresponds to sections of the surjection `S ⊗[R] S ⧸ J ^ 2 →ₐ[R] S`,
with `J` being the kernel of the multiplication map `S ⊗[R] S →ₐ[R] S`.
-/
noncomputable def KaehlerDifferential.endEquiv :
Module.End S (Ω[S⁄R]) ≃
{ f // (TensorProduct.lmul' R : S ⊗[R] S →ₐ[R] S).kerSquareLift.comp f = AlgHom.id R S } :=
(KaehlerDifferential.linearMapEquivDerivation R S).toEquiv.trans <|
(KaehlerDifferential.endEquivDerivation' R S).toEquiv.trans <|
(derivationToSquareZeroEquivLift (KaehlerDifferential.ideal R S).cotangentIdeal
(KaehlerDifferential.ideal R S).cotangentIdeal_square).trans <|
KaehlerDifferential.endEquivAuxEquiv R S
section Finiteness
theorem KaehlerDifferential.ideal_fg [EssFiniteType R S] :
(KaehlerDifferential.ideal R S).FG := by
classical
use (EssFiniteType.finset R S).image (fun s ↦ (1 : S) ⊗ₜ[R] s - s ⊗ₜ[R] (1 : S))
apply le_antisymm
· rw [Finset.coe_image, Ideal.span_le]
rintro _ ⟨x, _, rfl⟩
exact KaehlerDifferential.one_smul_sub_smul_one_mem_ideal R x
· rw [← KaehlerDifferential.span_range_eq_ideal, Ideal.span_le]
rintro _ ⟨x, rfl⟩
let I : Ideal (S ⊗[R] S) := Ideal.span
((EssFiniteType.finset R S).image (fun s ↦ (1 : S) ⊗ₜ[R] s - s ⊗ₜ[R] (1 : S)))
show _ - _ ∈ I
have : (IsScalarTower.toAlgHom R (S ⊗[R] S) (S ⊗[R] S ⧸ I)).comp TensorProduct.includeRight =
(IsScalarTower.toAlgHom R (S ⊗[R] S) (S ⊗[R] S ⧸ I)).comp TensorProduct.includeLeft := by
apply EssFiniteType.algHom_ext
intro a ha
simp only [AlgHom.coe_comp, IsScalarTower.coe_toAlgHom', Ideal.Quotient.algebraMap_eq,
Function.comp_apply, TensorProduct.includeLeft_apply, TensorProduct.includeRight_apply,
Ideal.Quotient.mk_eq_mk_iff_sub_mem]
refine Ideal.subset_span ?_
simp only [Finset.coe_image, Set.mem_image, Finset.mem_coe]
exact ⟨a, ha, rfl⟩
simpa [Ideal.Quotient.mk_eq_mk_iff_sub_mem] using AlgHom.congr_fun this x
instance KaehlerDifferential.finite [EssFiniteType R S] :
Module.Finite S (Ω[S⁄R]) := by
classical
let s := (EssFiniteType.finset R S).image (fun s ↦ D R S s)
refine ⟨⟨s, top_le_iff.mp ?_⟩⟩
rw [← span_range_derivation, Submodule.span_le]
rintro _ ⟨x, rfl⟩
have : ∀ x ∈ adjoin R (EssFiniteType.finset R S).toSet,
.D _ _ x ∈ Submodule.span S s.toSet := by
intro x hx
refine adjoin_induction ?_ ?_ ?_ ?_ hx
· exact fun x hx ↦ Submodule.subset_span (Finset.mem_image_of_mem _ hx)
· simp
· exact fun x y _ _ hx hy ↦ (D R S).map_add x y ▸ add_mem hx hy
· intro x y _ _ hx hy
simp only [Derivation.leibniz]
exact add_mem (Submodule.smul_mem _ _ hy) (Submodule.smul_mem _ _ hx)
obtain ⟨t, ht, ht', hxt⟩ := (essFiniteType_cond_iff R S (EssFiniteType.finset R S)).mp
EssFiniteType.cond.choose_spec x
rw [show D R S x =
ht'.unit⁻¹ • (D R S (x * t) - x • D R S t) by simp [smul_smul, Units.smul_def]]
exact Submodule.smul_mem _ _ (sub_mem (this _ hxt) (Submodule.smul_mem _ _ (this _ ht)))
end Finiteness
section Presentation
open KaehlerDifferential (D)
open Finsupp (single)
/-- The `S`-submodule of `S →₀ S` (the direct sum of copies of `S` indexed by `S`) generated by
the relations:
1. `dx + dy = d(x + y)`
2. `x dy + y dx = d(x * y)`
3. `dr = 0` for `r ∈ R`
where `db` is the unit in the copy of `S` with index `b`.
This is the kernel of the surjection
`Finsupp.linearCombination S Ω[S⁄R] S (KaehlerDifferential.D R S)`.
See `KaehlerDifferential.kerTotal_eq` and `KaehlerDifferential.linearCombination_surjective`.
-/
noncomputable def KaehlerDifferential.kerTotal : Submodule S (S →₀ S) :=
Submodule.span S
(((Set.range fun x : S × S => single x.1 1 + single x.2 1 - single (x.1 + x.2) 1) ∪
Set.range fun x : S × S => single x.2 x.1 + single x.1 x.2 - single (x.1 * x.2) 1) ∪
Set.range fun x : R => single (algebraMap R S x) 1)
unsuppress_compilation in
-- Porting note: was `local notation x "𝖣" y => (KaehlerDifferential.kerTotal R S).mkQ (single y x)`
-- but not having `DFunLike.coe` leads to `kerTotal_mkQ_single_smul` failing.
local notation3 x "𝖣" y => DFunLike.coe (KaehlerDifferential.kerTotal R S).mkQ (single y x)
theorem KaehlerDifferential.kerTotal_mkQ_single_add (x y z) : (z𝖣x + y) = (z𝖣x) + z𝖣y := by
rw [← map_add, eq_comm, ← sub_eq_zero, ← map_sub (Submodule.mkQ (kerTotal R S)),
Submodule.mkQ_apply, Submodule.Quotient.mk_eq_zero]
simp_rw [← Finsupp.smul_single_one _ z, ← smul_add, ← smul_sub]
exact Submodule.smul_mem _ _ (Submodule.subset_span (Or.inl <| Or.inl <| ⟨⟨_, _⟩, rfl⟩))
theorem KaehlerDifferential.kerTotal_mkQ_single_mul (x y z) :
(z𝖣x * y) = ((z * x)𝖣y) + (z * y)𝖣x := by
rw [← map_add, eq_comm, ← sub_eq_zero, ← map_sub (Submodule.mkQ (kerTotal R S)),
Submodule.mkQ_apply, Submodule.Quotient.mk_eq_zero]
simp_rw [← Finsupp.smul_single_one _ z, ← @smul_eq_mul _ _ z, ← Finsupp.smul_single, ← smul_add,
← smul_sub]
exact Submodule.smul_mem _ _ (Submodule.subset_span (Or.inl <| Or.inr <| ⟨⟨_, _⟩, rfl⟩))
theorem KaehlerDifferential.kerTotal_mkQ_single_algebraMap (x y) : (y𝖣algebraMap R S x) = 0 := by
rw [Submodule.mkQ_apply, Submodule.Quotient.mk_eq_zero, ← Finsupp.smul_single_one _ y]
exact Submodule.smul_mem _ _ (Submodule.subset_span (Or.inr <| ⟨_, rfl⟩))
theorem KaehlerDifferential.kerTotal_mkQ_single_algebraMap_one (x) : (x𝖣1) = 0 := by
rw [← (algebraMap R S).map_one, KaehlerDifferential.kerTotal_mkQ_single_algebraMap]
theorem KaehlerDifferential.kerTotal_mkQ_single_smul (r : R) (x y) : (y𝖣r • x) = r • y𝖣x := by
letI : SMulZeroClass R S := inferInstance
rw [Algebra.smul_def, KaehlerDifferential.kerTotal_mkQ_single_mul,
KaehlerDifferential.kerTotal_mkQ_single_algebraMap, add_zero, ← LinearMap.map_smul_of_tower,
Finsupp.smul_single, mul_comm, Algebra.smul_def]
/-- The (universal) derivation into `(S →₀ S) ⧸ KaehlerDifferential.kerTotal R S`. -/
noncomputable def KaehlerDifferential.derivationQuotKerTotal :
Derivation R S ((S →₀ S) ⧸ KaehlerDifferential.kerTotal R S) where
toFun x := 1𝖣x
map_add' _ _ := KaehlerDifferential.kerTotal_mkQ_single_add _ _ _ _ _
map_smul' _ _ := KaehlerDifferential.kerTotal_mkQ_single_smul _ _ _ _ _
map_one_eq_zero' := KaehlerDifferential.kerTotal_mkQ_single_algebraMap_one _ _ _
leibniz' a b :=
(KaehlerDifferential.kerTotal_mkQ_single_mul _ _ _ _ _).trans
(by simp_rw [← Finsupp.smul_single_one _ (1 * _ : S)]; dsimp; simp)
theorem KaehlerDifferential.derivationQuotKerTotal_apply (x) :
KaehlerDifferential.derivationQuotKerTotal R S x = 1𝖣x :=
rfl
theorem KaehlerDifferential.derivationQuotKerTotal_lift_comp_linearCombination :
(KaehlerDifferential.derivationQuotKerTotal R S).liftKaehlerDifferential.comp
(Finsupp.linearCombination S (KaehlerDifferential.D R S)) =
Submodule.mkQ _ := by
apply Finsupp.lhom_ext
intro a b
conv_rhs => rw [← Finsupp.smul_single_one a b, LinearMap.map_smul]
simp [KaehlerDifferential.derivationQuotKerTotal_apply]
theorem KaehlerDifferential.kerTotal_eq :
LinearMap.ker (Finsupp.linearCombination S (KaehlerDifferential.D R S)) =
KaehlerDifferential.kerTotal R S := by
apply le_antisymm
· conv_rhs => rw [← (KaehlerDifferential.kerTotal R S).ker_mkQ]
rw [← KaehlerDifferential.derivationQuotKerTotal_lift_comp_linearCombination]
exact LinearMap.ker_le_ker_comp _ _
· rw [KaehlerDifferential.kerTotal, Submodule.span_le]
rintro _ ((⟨⟨x, y⟩, rfl⟩ | ⟨⟨x, y⟩, rfl⟩) | ⟨x, rfl⟩) <;> dsimp <;> simp [LinearMap.mem_ker]
theorem KaehlerDifferential.linearCombination_surjective :
Function.Surjective (Finsupp.linearCombination S (KaehlerDifferential.D R S)) := by
rw [← LinearMap.range_eq_top, range_linearCombination, span_range_derivation]
/-- `Ω[S⁄R]` is isomorphic to `S` copies of `S` with kernel `KaehlerDifferential.kerTotal`. -/
@[simps!]
noncomputable def KaehlerDifferential.quotKerTotalEquiv :
((S →₀ S) ⧸ KaehlerDifferential.kerTotal R S) ≃ₗ[S] Ω[S⁄R] :=
{ (KaehlerDifferential.kerTotal R S).liftQ
(Finsupp.linearCombination S (KaehlerDifferential.D R S))
(KaehlerDifferential.kerTotal_eq R S).ge with
invFun := (KaehlerDifferential.derivationQuotKerTotal R S).liftKaehlerDifferential
left_inv := by
intro x
obtain ⟨x, rfl⟩ := Submodule.mkQ_surjective _ x
exact
LinearMap.congr_fun
(KaehlerDifferential.derivationQuotKerTotal_lift_comp_linearCombination R S :) x
right_inv := by
intro x
obtain ⟨x, rfl⟩ := KaehlerDifferential.linearCombination_surjective R S x
have := LinearMap.congr_fun
(KaehlerDifferential.derivationQuotKerTotal_lift_comp_linearCombination R S) x
rw [LinearMap.comp_apply] at this
rw [this]
rfl }
theorem KaehlerDifferential.quotKerTotalEquiv_symm_comp_D :
(KaehlerDifferential.quotKerTotalEquiv R S).symm.toLinearMap.compDer
(KaehlerDifferential.D R S) =
KaehlerDifferential.derivationQuotKerTotal R S := by
convert (KaehlerDifferential.derivationQuotKerTotal R S).liftKaehlerDifferential_comp
end Presentation
section ExactSequence
/- We have the commutative diagram
```
A --→ B
↑ ↑
| |
R --→ S
```
-/
variable (A B : Type*) [CommRing A] [CommRing B] [Algebra R A]
variable [Algebra A B] [Algebra S B]
unsuppress_compilation in
-- The map `(A →₀ A) →ₗ[A] (B →₀ B)`
local macro "finsupp_map" : term =>
`((Finsupp.mapRange.linearMap (Algebra.linearMap A B)).comp
(Finsupp.lmapDomain A A (algebraMap A B)))
/--
Given the commutative diagram
```
A --→ B
↑ ↑
| |
R --→ S
```
The kernel of the presentation `⊕ₓ B dx ↠ Ω_{B/S}` is spanned by the image of the
kernel of `⊕ₓ A dx ↠ Ω_{A/R}` and all `ds` with `s : S`.
See `kerTotal_map'` for the special case where `R = S`.
-/
theorem KaehlerDifferential.kerTotal_map [Algebra R B] [IsScalarTower R A B] [IsScalarTower R S B]
(h : Function.Surjective (algebraMap A B)) :
(KaehlerDifferential.kerTotal R A).map finsupp_map ⊔
Submodule.span A (Set.range fun x : S => .single (algebraMap S B x) (1 : B)) =
(KaehlerDifferential.kerTotal S B).restrictScalars _ := by
rw [KaehlerDifferential.kerTotal, Submodule.map_span, KaehlerDifferential.kerTotal,
Submodule.restrictScalars_span _ _ h]
simp_rw [Set.image_union, Submodule.span_union, ← Set.image_univ, Set.image_image, Set.image_univ,
map_sub, map_add]
simp only [LinearMap.comp_apply, Finsupp.lmapDomain_apply, Finsupp.mapDomain_single,
Finsupp.mapRange.linearMap_apply, Finsupp.mapRange_single, Algebra.linearMap_apply,
map_one, map_add, map_mul]
simp_rw [sup_assoc, ← (h.prodMap h).range_comp]
congr!
-- Porting note: new
simp_rw [← IsScalarTower.algebraMap_apply R A B]
rw [sup_eq_right]
apply Submodule.span_mono
simp_rw [IsScalarTower.algebraMap_apply R S B]
exact Set.range_comp_subset_range (algebraMap R S)
fun x => Finsupp.single (algebraMap S B x) (1 : B)
/--
This is a special case of `kerTotal_map` where `R = S`.
The kernel of the presentation `⊕ₓ B dx ↠ Ω_{B/R}` is spanned by the image of the
kernel of `⊕ₓ A dx ↠ Ω_{A/R}` and all `da` with `a : A`.
-/
theorem KaehlerDifferential.kerTotal_map' [Algebra R B]
[IsScalarTower R A B] (h : Function.Surjective (algebraMap A B)) :
(KaehlerDifferential.kerTotal R A ⊔
Submodule.span A (Set.range fun x ↦ .single (algebraMap R A x) 1)).map finsupp_map =
(KaehlerDifferential.kerTotal R B).restrictScalars _ := by
rw [Submodule.map_sup, ← kerTotal_map R R A B h, Submodule.map_span, ← Set.range_comp]
congr
refine congr_arg Set.range ?_
ext; simp [IsScalarTower.algebraMap_eq R A B]
section
variable [Algebra R B] [IsScalarTower R A B] [IsScalarTower R S B] [SMulCommClass S A B]
/-- The map `Ω[A⁄R] →ₗ[A] Ω[B⁄S]` given a square
```
A --→ B
↑ ↑
| |
R --→ S
```
-/
def KaehlerDifferential.map : Ω[A⁄R] →ₗ[A] Ω[B⁄S] :=
Derivation.liftKaehlerDifferential
(((KaehlerDifferential.D S B).restrictScalars R).compAlgebraMap A)
theorem KaehlerDifferential.map_compDer :
(KaehlerDifferential.map R S A B).compDer (KaehlerDifferential.D R A) =
((KaehlerDifferential.D S B).restrictScalars R).compAlgebraMap A :=
Derivation.liftKaehlerDifferential_comp _
@[simp]
theorem KaehlerDifferential.map_D (x : A) :
KaehlerDifferential.map R S A B (KaehlerDifferential.D R A x) =
KaehlerDifferential.D S B (algebraMap A B x) :=
Derivation.congr_fun (KaehlerDifferential.map_compDer R S A B) x
theorem KaehlerDifferential.ker_map :
LinearMap.ker (KaehlerDifferential.map R S A B) =
(((kerTotal S B).restrictScalars A).comap finsupp_map).map
(Finsupp.linearCombination (M := Ω[A⁄R]) A (D R A)) := by
rw [← Submodule.map_comap_eq_of_surjective (linearCombination_surjective R A) (LinearMap.ker _)]
congr 1
ext x
simp only [Submodule.mem_comap, LinearMap.mem_ker, Finsupp.apply_linearCombination, ← kerTotal_eq,
Submodule.restrictScalars_mem]
simp only [linearCombination_apply, Function.comp_apply, LinearMap.coe_comp, lmapDomain_apply,
Finsupp.mapRange.linearMap_apply]
rw [Finsupp.sum_mapRange_index, Finsupp.sum_mapDomain_index]
· simp [ofId]
· simp
· simp [add_smul]
· simp
lemma KaehlerDifferential.ker_map_of_surjective (h : Function.Surjective (algebraMap A B)) :
LinearMap.ker (map R R A B) =
(LinearMap.ker finsupp_map).map (Finsupp.linearCombination A (D R A)) := by
rw [ker_map, ← kerTotal_map' R A B h, Submodule.comap_map_eq, Submodule.map_sup,
Submodule.map_sup, ← kerTotal_eq, ← Submodule.comap_bot,
Submodule.map_comap_eq_of_surjective (linearCombination_surjective _ _),
bot_sup_eq, Submodule.map_span, ← Set.range_comp]
convert bot_sup_eq _
rw [Submodule.span_eq_bot]; simp
open IsScalarTower (toAlgHom)
theorem KaehlerDifferential.map_surjective_of_surjective
(h : Function.Surjective (algebraMap A B)) :
Function.Surjective (KaehlerDifferential.map R S A B) := by
rw [← LinearMap.range_eq_top, _root_.eq_top_iff,
← @Submodule.restrictScalars_top A B, ← span_range_derivation,
Submodule.restrictScalars_span _ _ h, Submodule.span_le]
rintro _ ⟨x, rfl⟩
obtain ⟨y, rfl⟩ := h x
rw [← KaehlerDifferential.map_D R S A B]
exact ⟨_, rfl⟩
theorem KaehlerDifferential.map_surjective :
Function.Surjective (KaehlerDifferential.map R S B B) :=
map_surjective_of_surjective R S B B Function.surjective_id
/-- The lift of the map `Ω[A⁄R] →ₗ[A] Ω[B⁄R]` to the base change along `A → B`.
This is the first map in the exact sequence `B ⊗[A] Ω[A⁄R] → Ω[B⁄R] → Ω[B⁄A] → 0`. -/
| noncomputable def KaehlerDifferential.mapBaseChange : B ⊗[A] Ω[A⁄R] →ₗ[B] Ω[B⁄R] :=
(TensorProduct.isBaseChange A (Ω[A⁄R]) B).lift (KaehlerDifferential.map R R A B)
@[simp]
theorem KaehlerDifferential.mapBaseChange_tmul (x : B) (y : Ω[A⁄R]) :
| Mathlib/RingTheory/Kaehler/Basic.lean | 753 | 757 |
/-
Copyright (c) 2024 Michael Stoll. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Michael Stoll
-/
import Mathlib.NumberTheory.DirichletCharacter.Bounds
import Mathlib.NumberTheory.LSeries.Convolution
import Mathlib.NumberTheory.LSeries.Deriv
import Mathlib.NumberTheory.LSeries.RiemannZeta
import Mathlib.NumberTheory.SumPrimeReciprocals
import Mathlib.NumberTheory.VonMangoldt
/-!
# L-series of Dirichlet characters and arithmetic functions
We collect some results on L-series of specific (arithmetic) functions, for example,
the Möbius function `μ` or the von Mangoldt function `Λ`. In particular, we show that
`L ↗Λ` is the negative of the logarithmic derivative of the Riemann zeta function
on `re s > 1`; see `LSeries_vonMangoldt_eq_deriv_riemannZeta_div`.
We also prove some general results on L-series associated to Dirichlet characters
(i.e., Dirichlet L-series). For example, we show that the abscissa of absolute convergence
equals `1` (see `DirichletCharacter.absicssaOfAbsConv`) and that the L-series does not
vanish on the open half-plane `re s > 1` (see `DirichletCharacter.LSeries_ne_zero_of_one_lt_re`).
We deduce results on the Riemann zeta function (which is `L 1` or `L ↗ζ` on `re s > 1`)
as special cases.
## Tags
Dirichlet L-series, Möbius function, von Mangoldt function, Riemann zeta function
-/
open scoped LSeries.notation
/-- `δ` is the function underlying the arithmetic function `1`. -/
lemma ArithmeticFunction.one_eq_delta : ↗(1 : ArithmeticFunction ℂ) = δ := by
ext
simp [one_apply, LSeries.delta]
section Moebius
/-!
### The L-series of the Möbius function
We show that `L μ s` converges absolutely if and only if `re s > 1`.
-/
namespace ArithmeticFunction
open LSeries Nat Complex
lemma not_LSeriesSummable_moebius_at_one : ¬ LSeriesSummable ↗μ 1 := by
refine fun h ↦ not_summable_one_div_on_primes <| summable_ofReal.mp <| .of_neg ?_
refine (h.indicator {n | n.Prime}).congr fun n ↦ ?_
by_cases hn : n.Prime
· simp [hn, hn.ne_zero, moebius_apply_prime hn, push_cast, neg_div]
· simp [hn]
/-- The L-series of the Möbius function converges absolutely at `s` if and only if `re s > 1`. -/
lemma LSeriesSummable_moebius_iff {s : ℂ} : LSeriesSummable ↗μ s ↔ 1 < s.re := by
refine ⟨fun H ↦ ?_, LSeriesSummable_of_bounded_of_one_lt_re (m := 1) fun n _ ↦ ?_⟩
· by_contra! h
exact not_LSeriesSummable_moebius_at_one <| LSeriesSummable.of_re_le_re (by simpa) H
· norm_cast
exact abs_moebius_le_one
/-- The abscissa of absolute convergence of the L-series of the Möbius function is `1`. -/
lemma abscissaOfAbsConv_moebius : abscissaOfAbsConv ↗μ = 1 := by
simpa [abscissaOfAbsConv, LSeriesSummable_moebius_iff, Set.Ioi_def, EReal.image_coe_Ioi]
using csInf_Ioo <| EReal.coe_lt_top 1
end ArithmeticFunction
end Moebius
/-!
### L-series of Dirichlet characters
-/
open Nat
open scoped ArithmeticFunction.zeta in
lemma ArithmeticFunction.const_one_eq_zeta {R : Type*} [AddMonoidWithOne R] {n : ℕ} (hn : n ≠ 0) :
(1 : ℕ → R) n = (ζ ·) n := by
simp [hn]
lemma LSeries.one_convolution_eq_zeta_convolution {R : Type*} [Semiring R] (f : ℕ → R) :
(1 : ℕ → R) ⍟ f = ((ArithmeticFunction.zeta ·) : ℕ → R) ⍟ f :=
convolution_congr ArithmeticFunction.const_one_eq_zeta fun _ ↦ rfl
lemma LSeries.convolution_one_eq_convolution_zeta {R : Type*} [Semiring R] (f : ℕ → R) :
f ⍟ (1 : ℕ → R) = f ⍟ ((ArithmeticFunction.zeta ·) : ℕ → R) :=
convolution_congr (fun _ ↦ rfl) ArithmeticFunction.const_one_eq_zeta
/-- `χ₁` is (local) notation for the (necessarily trivial) Dirichlet character modulo `1`. -/
local notation (name := Dchar_one) "χ₁" => (1 : DirichletCharacter ℂ 1)
namespace DirichletCharacter
open ArithmeticFunction in
/-- The arithmetic function associated to a Dirichlet character is multiplicative. -/
lemma isMultiplicative_toArithmeticFunction {N : ℕ} {R : Type*} [CommMonoidWithZero R]
(χ : DirichletCharacter R N) :
(toArithmeticFunction (χ ·)).IsMultiplicative := by
refine IsMultiplicative.iff_ne_zero.mpr ⟨?_, fun {m} {n} hm hn _ ↦ ?_⟩
· simp [toArithmeticFunction]
· simp [toArithmeticFunction, hm, hn]
lemma apply_eq_toArithmeticFunction_apply {N : ℕ} {R : Type*} [CommMonoidWithZero R]
(χ : DirichletCharacter R N) {n : ℕ} (hn : n ≠ 0) :
χ n = toArithmeticFunction (χ ·) n := by
simp [toArithmeticFunction, hn]
open LSeries Nat Complex
/-- Twisting by a Dirichlet character `χ` distributes over convolution. -/
lemma mul_convolution_distrib {R : Type*} [CommSemiring R] {n : ℕ} (χ : DirichletCharacter R n)
(f g : ℕ → R) :
(((χ ·) : ℕ → R) * f) ⍟ (((χ ·) : ℕ → R) * g) = ((χ ·) : ℕ → R) * (f ⍟ g) := by
ext n
simp only [Pi.mul_apply, LSeries.convolution_def, Finset.mul_sum]
refine Finset.sum_congr rfl fun p hp ↦ ?_
rw [(mem_divisorsAntidiagonal.mp hp).1.symm, cast_mul, map_mul]
exact mul_mul_mul_comm ..
lemma mul_delta {n : ℕ} (χ : DirichletCharacter ℂ n) : ↗χ * δ = δ :=
LSeries.mul_delta <| by rw [cast_one, map_one]
lemma delta_mul {n : ℕ} (χ : DirichletCharacter ℂ n) : δ * ↗χ = δ :=
mul_comm δ _ ▸ mul_delta ..
open ArithmeticFunction in
/-- The convolution of a Dirichlet character `χ` with the twist `χ * μ` is `δ`,
the indicator function of `{1}`. -/
lemma convolution_mul_moebius {n : ℕ} (χ : DirichletCharacter ℂ n) : ↗χ ⍟ (↗χ * ↗μ) = δ := by
have : (1 : ℕ → ℂ) ⍟ (μ ·) = δ := by
rw [one_convolution_eq_zeta_convolution, ← one_eq_delta]
simp_rw [← natCoe_apply, ← intCoe_apply, coe_mul, coe_zeta_mul_coe_moebius]
nth_rewrite 1 [← mul_one ↗χ]
simpa only [mul_convolution_distrib χ 1 ↗μ, this] using mul_delta _
/-- The Dirichlet character mod `0` corresponds to `δ`. -/
lemma modZero_eq_delta {χ : DirichletCharacter ℂ 0} : ↗χ = δ := by
ext n
rcases eq_or_ne n 0 with rfl | hn
· simp_rw [cast_zero, χ.map_nonunit not_isUnit_zero, delta, reduceCtorEq, if_false]
rcases eq_or_ne n 1 with rfl | hn'
· simp [delta]
have : ¬ IsUnit (n : ZMod 0) := fun h ↦ hn' <| ZMod.eq_one_of_isUnit_natCast h
simp_all [χ.map_nonunit this, delta]
/-- The Dirichlet character mod `1` corresponds to the constant function `1`. -/
lemma modOne_eq_one {R : Type*} [CommMonoidWithZero R] {χ : DirichletCharacter R 1} :
((χ ·) : ℕ → R) = 1 := by
ext
rw [χ.level_one, MulChar.one_apply (isUnit_of_subsingleton _), Pi.one_apply]
lemma LSeries_modOne_eq : L ↗χ₁ = L 1 :=
congr_arg L modOne_eq_one
/-- The L-series of a Dirichlet character mod `N > 0` does not converge absolutely at `s = 1`. -/
lemma not_LSeriesSummable_at_one {N : ℕ} (hN : N ≠ 0) (χ : DirichletCharacter ℂ N) :
¬ LSeriesSummable ↗χ 1 := by
refine fun h ↦ (Real.not_summable_indicator_one_div_natCast hN 1) ?_
refine h.norm.of_nonneg_of_le (fun m ↦ Set.indicator_apply_nonneg (fun _ ↦ by positivity))
(fun n ↦ ?_)
simp only [norm_term_eq, Set.indicator, Set.mem_setOf_eq]
split_ifs with h₁ h₂
· simp [h₂]
· simp [h₁, χ.map_one]
all_goals positivity
/-- The L-series of a Dirichlet character converges absolutely at `s` if `re s > 1`. -/
lemma LSeriesSummable_of_one_lt_re {N : ℕ} (χ : DirichletCharacter ℂ N) {s : ℂ} (hs : 1 < s.re) :
LSeriesSummable ↗χ s :=
LSeriesSummable_of_bounded_of_one_lt_re (fun _ _ ↦ χ.norm_le_one _) hs
/-- The L-series of a Dirichlet character mod `N > 0` converges absolutely at `s` if and only if
`re s > 1`. -/
lemma LSeriesSummable_iff {N : ℕ} (hN : N ≠ 0) (χ : DirichletCharacter ℂ N) {s : ℂ} :
LSeriesSummable ↗χ s ↔ 1 < s.re := by
refine ⟨fun H ↦ ?_, LSeriesSummable_of_one_lt_re χ⟩
by_contra! h
exact not_LSeriesSummable_at_one hN χ <| LSeriesSummable.of_re_le_re (by simp [h]) H
/-- The abscissa of absolute convergence of the L-series of a Dirichlet character mod `N > 0`
is `1`. -/
lemma absicssaOfAbsConv_eq_one {N : ℕ} (hn : N ≠ 0) (χ : DirichletCharacter ℂ N) :
abscissaOfAbsConv ↗χ = 1 := by
simpa [abscissaOfAbsConv, LSeriesSummable_iff hn χ, Set.Ioi_def, EReal.image_coe_Ioi]
using csInf_Ioo <| EReal.coe_lt_top 1
/-- The L-series of the twist of `f` by a Dirichlet character converges at `s` if the L-series
of `f` does. -/
lemma LSeriesSummable_mul {N : ℕ} (χ : DirichletCharacter ℂ N) {f : ℕ → ℂ} {s : ℂ}
(h : LSeriesSummable f s) :
LSeriesSummable (↗χ * f) s := by
refine .of_norm <| h.norm.of_nonneg_of_le (fun _ ↦ norm_nonneg _) fun n ↦ norm_term_le s ?_
simpa using mul_le_of_le_one_left (norm_nonneg <| f n) <| χ.norm_le_one n
open scoped ArithmeticFunction.Moebius in
/-- The L-series of a Dirichlet character `χ` and of the twist of `μ` by `χ` are multiplicative
inverses. -/
lemma LSeries.mul_mu_eq_one {N : ℕ} (χ : DirichletCharacter ℂ N) {s : ℂ}
(hs : 1 < s.re) : L ↗χ s * L (↗χ * ↗μ) s = 1 := by
rw [← LSeries_convolution' (LSeriesSummable_of_one_lt_re χ hs) <|
LSeriesSummable_mul χ <| ArithmeticFunction.LSeriesSummable_moebius_iff.mpr hs,
convolution_mul_moebius, LSeries_delta, Pi.one_apply]
/-!
### L-series of Dirichlet characters do not vanish on re s > 1
-/
/-- The L-series of a Dirichlet character does not vanish on the right half-plane `re s > 1`. -/
lemma LSeries_ne_zero_of_one_lt_re {N : ℕ} (χ : DirichletCharacter ℂ N) {s : ℂ} (hs : 1 < s.re) :
L ↗χ s ≠ 0 :=
fun h ↦ by simpa [h] using LSeries.mul_mu_eq_one χ hs
end DirichletCharacter
section zeta
/-!
### The L-series of the constant sequence 1 / the arithmetic function ζ
Both give the same L-series (since the difference in values at zero has no effect;
see `ArithmeticFunction.LSeries_zeta_eq`), which agrees with the Riemann zeta function
on `re s > 1`. We state most results in two versions, one for `1` and one for `↗ζ`.
-/
open LSeries Nat Complex DirichletCharacter
/-- The abscissa of (absolute) convergence of the constant sequence `1` is `1`. -/
lemma LSeries.abscissaOfAbsConv_one : abscissaOfAbsConv 1 = 1 :=
modOne_eq_one (χ := χ₁) ▸ absicssaOfAbsConv_eq_one one_ne_zero χ₁
/-- The `LSeries` of the constant sequence `1` converges at `s` if and only if `re s > 1`. -/
theorem LSeriesSummable_one_iff {s : ℂ} : LSeriesSummable 1 s ↔ 1 < s.re :=
modOne_eq_one (χ := χ₁) ▸ LSeriesSummable_iff one_ne_zero χ₁
namespace ArithmeticFunction
/-- The `LSeries` of the arithmetic function `ζ` is the same as the `LSeries` associated
to the constant sequence `1`. -/
lemma LSeries_zeta_eq : L ↗ζ = L 1 := by
ext s
exact (LSeries_congr s const_one_eq_zeta).symm
/-- The `LSeries` associated to the arithmetic function `ζ` converges at `s` if and only if
`re s > 1`. -/
theorem LSeriesSummable_zeta_iff {s : ℂ} : LSeriesSummable (ζ ·) s ↔ 1 < s.re :=
(LSeriesSummable_congr s const_one_eq_zeta).symm.trans <| LSeriesSummable_one_iff
/-- The abscissa of (absolute) convergence of the arithmetic function `ζ` is `1`. -/
lemma abscissaOfAbsConv_zeta : abscissaOfAbsConv ↗ζ = 1 := by
rw [abscissaOfAbsConv_congr (g := 1) fun hn ↦ by simp [hn], abscissaOfAbsConv_one]
/-- The L-series of the arithmetic function `ζ` equals the Riemann Zeta Function on its
domain of convergence `1 < re s`. -/
lemma LSeries_zeta_eq_riemannZeta {s : ℂ} (hs : 1 < s.re) : L ↗ζ s = riemannZeta s := by
suffices ∑' n, term (fun n ↦ if n = 0 then 0 else 1) s n = ∑' n : ℕ, 1 / (n : ℂ) ^ s by
simpa [LSeries, zeta_eq_tsum_one_div_nat_cpow hs]
refine tsum_congr fun n ↦ ?_
rcases eq_or_ne n 0 with hn | hn <;>
simp [hn, ne_zero_of_one_lt_re hs]
/-- The L-series of the arithmetic function `ζ` equals the Riemann Zeta Function on its
domain of convergence `1 < re s`. -/
lemma LSeriesHasSum_zeta {s : ℂ} (hs : 1 < s.re) : LSeriesHasSum ↗ζ s (riemannZeta s) :=
LSeries_zeta_eq_riemannZeta hs ▸ (LSeriesSummable_zeta_iff.mpr hs).LSeriesHasSum
/-- The L-series of the arithmetic function `ζ` and of the Möbius function are inverses. -/
lemma LSeries_zeta_mul_Lseries_moebius {s : ℂ} (hs : 1 < s.re) : L ↗ζ s * L ↗μ s = 1 := by
rw [← LSeries_convolution' (LSeriesSummable_zeta_iff.mpr hs)
(LSeriesSummable_moebius_iff.mpr hs)]
| simp [← natCoe_apply, ← intCoe_apply, coe_mul, one_eq_delta, LSeries_delta, -zeta_apply]
/-- The L-series of the arithmetic function `ζ` does not vanish on the right half-plane
`re s > 1`. -/
| Mathlib/NumberTheory/LSeries/Dirichlet.lean | 282 | 285 |
/-
Copyright (c) 2018 Robert Y. Lewis. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Robert Y. Lewis
-/
import Mathlib.NumberTheory.Padics.PadicVal.Basic
/-!
# p-adic norm
This file defines the `p`-adic norm on `ℚ`.
The `p`-adic valuation on `ℚ` is the difference of the multiplicities of `p` in the numerator and
denominator of `q`. This function obeys the standard properties of a valuation, with the appropriate
assumptions on `p`.
The valuation induces a norm on `ℚ`. This norm is a nonarchimedean absolute value.
It takes values in {0} ∪ {1/p^k | k ∈ ℤ}.
## Implementation notes
Much, but not all, of this file assumes that `p` is prime. This assumption is inferred automatically
by taking `[Fact p.Prime]` as a type class argument.
## References
* [F. Q. Gouvêa, *p-adic numbers*][gouvea1997]
* [R. Y. Lewis, *A formal proof of Hensel's lemma over the p-adic integers*][lewis2019]
* <https://en.wikipedia.org/wiki/P-adic_number>
## Tags
p-adic, p adic, padic, norm, valuation
-/
/-- If `q ≠ 0`, the `p`-adic norm of a rational `q` is `p ^ (-padicValRat p q)`.
If `q = 0`, the `p`-adic norm of `q` is `0`. -/
def padicNorm (p : ℕ) (q : ℚ) : ℚ :=
if q = 0 then 0 else (p : ℚ) ^ (-padicValRat p q)
namespace padicNorm
open padicValRat
variable {p : ℕ}
/-- Unfolds the definition of the `p`-adic norm of `q` when `q ≠ 0`. -/
@[simp]
protected theorem eq_zpow_of_nonzero {q : ℚ} (hq : q ≠ 0) :
padicNorm p q = (p : ℚ) ^ (-padicValRat p q) := by simp [hq, padicNorm]
/-- The `p`-adic norm is nonnegative. -/
protected theorem nonneg (q : ℚ) : 0 ≤ padicNorm p q :=
if hq : q = 0 then by simp [hq, padicNorm]
else by
unfold padicNorm
split_ifs
apply zpow_nonneg
exact mod_cast Nat.zero_le _
/-- The `p`-adic norm of `0` is `0`. -/
@[simp]
protected theorem zero : padicNorm p 0 = 0 := by simp [padicNorm]
/-- The `p`-adic norm of `1` is `1`. -/
protected theorem one : padicNorm p 1 = 1 := by simp [padicNorm]
/-- The `p`-adic norm of `p` is `p⁻¹` if `p > 1`.
See also `padicNorm.padicNorm_p_of_prime` for a version assuming `p` is prime. -/
theorem padicNorm_p (hp : 1 < p) : padicNorm p p = (p : ℚ)⁻¹ := by
simp [padicNorm, (pos_of_gt hp).ne', padicValNat.self hp]
/-- The `p`-adic norm of `p` is `p⁻¹` if `p` is prime.
See also `padicNorm.padicNorm_p` for a version assuming `1 < p`. -/
@[simp]
theorem padicNorm_p_of_prime [Fact p.Prime] : padicNorm p p = (p : ℚ)⁻¹ :=
padicNorm_p <| Nat.Prime.one_lt Fact.out
/-- The `p`-adic norm of `q` is `1` if `q` is prime and not equal to `p`. -/
theorem padicNorm_of_prime_of_ne {q : ℕ} [p_prime : Fact p.Prime] [q_prime : Fact q.Prime]
(neq : p ≠ q) : padicNorm p q = 1 := by
have p : padicValRat p q = 0 := mod_cast padicValNat_primes neq
rw [padicNorm, p]
simp [q_prime.1.ne_zero]
/-- The `p`-adic norm of `p` is less than `1` if `1 < p`.
See also `padicNorm.padicNorm_p_lt_one_of_prime` for a version assuming `p` is prime. -/
theorem padicNorm_p_lt_one (hp : 1 < p) : padicNorm p p < 1 := by
rw [padicNorm_p hp, inv_lt_one_iff₀]
exact mod_cast Or.inr hp
/-- The `p`-adic norm of `p` is less than `1` if `p` is prime.
See also `padicNorm.padicNorm_p_lt_one` for a version assuming `1 < p`. -/
theorem padicNorm_p_lt_one_of_prime [Fact p.Prime] : padicNorm p p < 1 :=
padicNorm_p_lt_one <| Nat.Prime.one_lt Fact.out
/-- `padicNorm p q` takes discrete values `p ^ -z` for `z : ℤ`. -/
protected theorem values_discrete {q : ℚ} (hq : q ≠ 0) : ∃ z : ℤ, padicNorm p q = (p : ℚ) ^ (-z) :=
⟨padicValRat p q, by simp [padicNorm, hq]⟩
/-- `padicNorm p` is symmetric. -/
@[simp]
protected theorem neg (q : ℚ) : padicNorm p (-q) = padicNorm p q :=
if hq : q = 0 then by simp [hq] else by simp [padicNorm, hq]
variable [hp : Fact p.Prime]
/-- If `q ≠ 0`, then `padicNorm p q ≠ 0`. -/
protected theorem nonzero {q : ℚ} (hq : q ≠ 0) : padicNorm p q ≠ 0 := by
rw [padicNorm.eq_zpow_of_nonzero hq]
apply zpow_ne_zero
exact mod_cast ne_of_gt hp.1.pos
/-- If the `p`-adic norm of `q` is 0, then `q` is `0`. -/
theorem zero_of_padicNorm_eq_zero {q : ℚ} (h : padicNorm p q = 0) : q = 0 := by
apply by_contradiction; intro hq
unfold padicNorm at h; rw [if_neg hq] at h
apply absurd h
apply zpow_ne_zero
exact mod_cast hp.1.ne_zero
/-- The `p`-adic norm is multiplicative. -/
@[simp]
protected theorem mul (q r : ℚ) : padicNorm p (q * r) = padicNorm p q * padicNorm p r :=
if hq : q = 0 then by simp [hq]
else
if hr : r = 0 then by simp [hr]
else by
have : (p : ℚ) ≠ 0 := by simp [hp.1.ne_zero]
simp [padicNorm, *, padicValRat.mul, zpow_add₀ this, mul_comm]
/-- The `p`-adic norm respects division. -/
@[simp]
protected theorem div (q r : ℚ) : padicNorm p (q / r) = padicNorm p q / padicNorm p r :=
if hr : r = 0 then by simp [hr]
else eq_div_of_mul_eq (padicNorm.nonzero hr) (by rw [← padicNorm.mul, div_mul_cancel₀ _ hr])
/-- The `p`-adic norm of an integer is at most `1`. -/
protected theorem of_int (z : ℤ) : padicNorm p z ≤ 1 := by
obtain rfl | hz := eq_or_ne z 0
· simp
· rw [padicNorm, if_neg (mod_cast hz)]
exact zpow_le_one_of_nonpos₀ (mod_cast hp.1.one_le) (by simp)
private theorem nonarchimedean_aux {q r : ℚ} (h : padicValRat p q ≤ padicValRat p r) :
padicNorm p (q + r) ≤ max (padicNorm p q) (padicNorm p r) :=
have hnqp : padicNorm p q ≥ 0 := padicNorm.nonneg _
have hnrp : padicNorm p r ≥ 0 := padicNorm.nonneg _
if hq : q = 0 then by simp [hq, max_eq_right hnrp, le_max_right]
else
if hr : r = 0 then by simp [hr, max_eq_left hnqp, le_max_left]
else
if hqr : q + r = 0 then le_trans (by simpa [hqr] using hnqp) (le_max_left _ _)
else by
unfold padicNorm; split_ifs
apply le_max_iff.2
left
apply zpow_le_zpow_right₀
· exact mod_cast le_of_lt hp.1.one_lt
· apply neg_le_neg
have : padicValRat p q = min (padicValRat p q) (padicValRat p r) := (min_eq_left h).symm
rw [this]
exact min_le_padicValRat_add hqr
/-- The `p`-adic norm is nonarchimedean: the norm of `p + q` is at most the max of the norm of `p`
and the norm of `q`. -/
protected theorem nonarchimedean {q r : ℚ} :
padicNorm p (q + r) ≤ max (padicNorm p q) (padicNorm p r) := by
wlog hle : padicValRat p q ≤ padicValRat p r generalizing q r
· rw [add_comm, max_comm]
exact this (le_of_not_le hle)
exact nonarchimedean_aux hle
/-- The `p`-adic norm respects the triangle inequality: the norm of `p + q` is at most the norm of
`p` plus the norm of `q`. -/
theorem triangle_ineq (q r : ℚ) : padicNorm p (q + r) ≤ padicNorm p q + padicNorm p r :=
calc
padicNorm p (q + r) ≤ max (padicNorm p q) (padicNorm p r) := padicNorm.nonarchimedean
_ ≤ padicNorm p q + padicNorm p r :=
max_le_add_of_nonneg (padicNorm.nonneg _) (padicNorm.nonneg _)
/-- The `p`-adic norm of a difference is at most the max of each component. Restates the archimedean
property of the `p`-adic norm. -/
protected theorem sub {q r : ℚ} : padicNorm p (q - r) ≤ max (padicNorm p q) (padicNorm p r) := by
rw [sub_eq_add_neg, ← padicNorm.neg r]
exact padicNorm.nonarchimedean
/-- If the `p`-adic norms of `q` and `r` are different, then the norm of `q + r` is equal to the max
of the norms of `q` and `r`. -/
theorem add_eq_max_of_ne {q r : ℚ} (hne : padicNorm p q ≠ padicNorm p r) :
padicNorm p (q + r) = max (padicNorm p q) (padicNorm p r) := by
wlog hlt : padicNorm p r < padicNorm p q
· rw [add_comm, max_comm]
exact this hne.symm (hne.lt_or_lt.resolve_right hlt)
have : padicNorm p q ≤ max (padicNorm p (q + r)) (padicNorm p r) :=
calc
padicNorm p q = padicNorm p (q + r + (-r)) := by ring_nf
_ ≤ max (padicNorm p (q + r)) (padicNorm p (-r)) := padicNorm.nonarchimedean
_ = max (padicNorm p (q + r)) (padicNorm p r) := by simp
have hnge : padicNorm p r ≤ padicNorm p (q + r) := by
apply le_of_not_gt
intro hgt
rw [max_eq_right_of_lt hgt] at this
exact not_lt_of_ge this hlt
have : padicNorm p q ≤ padicNorm p (q + r) := by rwa [max_eq_left hnge] at this
apply _root_.le_antisymm
· apply padicNorm.nonarchimedean
· rwa [max_eq_left_of_lt hlt]
/-- The `p`-adic norm is an absolute value: positive-definite and multiplicative, satisfying the
triangle inequality. -/
instance : IsAbsoluteValue (padicNorm p) where
abv_nonneg' := padicNorm.nonneg
abv_eq_zero' := ⟨zero_of_padicNorm_eq_zero, fun hx ↦ by simp [hx]⟩
abv_add' := padicNorm.triangle_ineq
abv_mul' := padicNorm.mul
theorem dvd_iff_norm_le {n : ℕ} {z : ℤ} : ↑(p ^ n) ∣ z ↔ padicNorm p z ≤ (p : ℚ) ^ (-n : ℤ) := by
unfold padicNorm; split_ifs with hz
· norm_cast at hz
simp [hz]
· rw [zpow_le_zpow_iff_right₀, neg_le_neg_iff, padicValRat.of_int,
padicValInt.of_ne_one_ne_zero hp.1.ne_one _]
· norm_cast
rw [← FiniteMultiplicity.pow_dvd_iff_le_multiplicity]
· norm_cast
· apply Int.finiteMultiplicity_iff.2 ⟨by simp [hp.out.ne_one], mod_cast hz⟩
· exact_mod_cast hz
· exact_mod_cast hp.out.one_lt
/-- The `p`-adic norm of an integer `m` is one iff `p` doesn't divide `m`. -/
theorem int_eq_one_iff (m : ℤ) : padicNorm p m = 1 ↔ ¬(p : ℤ) ∣ m := by
nth_rw 2 [← pow_one p]
simp only [dvd_iff_norm_le, Int.cast_natCast, Nat.cast_one, zpow_neg, zpow_one, not_le]
constructor
· intro h
rw [h, inv_lt_one₀] <;> norm_cast
· exact Nat.Prime.one_lt Fact.out
· exact Nat.Prime.pos Fact.out
· simp only [padicNorm]
split_ifs
· rw [inv_lt_zero, ← Nat.cast_zero, Nat.cast_lt]
intro h
exact (Nat.not_lt_zero p h).elim
· have : 1 < (p : ℚ) := by norm_cast; exact Nat.Prime.one_lt (Fact.out : Nat.Prime p)
rw [← zpow_neg_one, zpow_lt_zpow_iff_right₀ this]
have : 0 ≤ padicValRat p m := by simp only [of_int, Nat.cast_nonneg]
intro h
rw [← zpow_zero (p : ℚ), zpow_right_inj₀] <;> linarith
theorem int_lt_one_iff (m : ℤ) : padicNorm p m < 1 ↔ (p : ℤ) ∣ m := by
rw [← not_iff_not, ← int_eq_one_iff, eq_iff_le_not_lt]
simp only [padicNorm.of_int, true_and]
theorem of_nat (m : ℕ) : padicNorm p m ≤ 1 :=
padicNorm.of_int (m : ℤ)
/-- The `p`-adic norm of a natural `m` is one iff `p` doesn't divide `m`. -/
theorem nat_eq_one_iff (m : ℕ) : padicNorm p m = 1 ↔ ¬p ∣ m := by
rw [← Int.natCast_dvd_natCast, ← int_eq_one_iff, Int.cast_natCast]
theorem nat_lt_one_iff (m : ℕ) : padicNorm p m < 1 ↔ p ∣ m := by
rw [← Int.natCast_dvd_natCast, ← int_lt_one_iff, Int.cast_natCast]
/-- If a rational is not a p-adic integer, it is not an integer. -/
theorem not_int_of_not_padic_int (p : ℕ) {a : ℚ} [hp : Fact (Nat.Prime p)]
(H : 1 < padicNorm p a) : ¬ a.isInt := by
contrapose! H
rw [Rat.eq_num_of_isInt H]
apply padicNorm.of_int
theorem sum_lt {α : Type*} {F : α → ℚ} {t : ℚ} {s : Finset α} :
s.Nonempty → (∀ i ∈ s, padicNorm p (F i) < t) → padicNorm p (∑ i ∈ s, F i) < t := by
classical
refine s.induction_on (by rintro ⟨-, ⟨⟩⟩) ?_
rintro a S haS IH - ht
by_cases hs : S.Nonempty
· rw [Finset.sum_insert haS]
exact
lt_of_le_of_lt padicNorm.nonarchimedean
(max_lt (ht a (Finset.mem_insert_self a S))
(IH hs fun b hb ↦ ht b (Finset.mem_insert_of_mem hb)))
· simp_all
theorem sum_le {α : Type*} {F : α → ℚ} {t : ℚ} {s : Finset α} :
s.Nonempty → (∀ i ∈ s, padicNorm p (F i) ≤ t) → padicNorm p (∑ i ∈ s, F i) ≤ t := by
classical
refine s.induction_on (by rintro ⟨-, ⟨⟩⟩) ?_
rintro a S haS IH - ht
by_cases hs : S.Nonempty
· rw [Finset.sum_insert haS]
exact
padicNorm.nonarchimedean.trans
(max_le (ht a (Finset.mem_insert_self a S))
(IH hs fun b hb ↦ ht b (Finset.mem_insert_of_mem hb)))
· simp_all
theorem sum_lt' {α : Type*} {F : α → ℚ} {t : ℚ} {s : Finset α}
(hF : ∀ i ∈ s, padicNorm p (F i) < t) (ht : 0 < t) : padicNorm p (∑ i ∈ s, F i) < t := by
obtain rfl | hs := Finset.eq_empty_or_nonempty s
· simp [ht]
· exact sum_lt hs hF
theorem sum_le' {α : Type*} {F : α → ℚ} {t : ℚ} {s : Finset α}
(hF : ∀ i ∈ s, padicNorm p (F i) ≤ t) (ht : 0 ≤ t) : padicNorm p (∑ i ∈ s, F i) ≤ t := by
obtain rfl | hs := Finset.eq_empty_or_nonempty s
· simp [ht]
· exact sum_le hs hF
end padicNorm
| Mathlib/NumberTheory/Padics/PadicNorm.lean | 327 | 338 | |
/-
Copyright (c) 2020 Damiano Testa. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Damiano Testa, Alex Meiburg
-/
import Mathlib.Algebra.BigOperators.Fin
import Mathlib.Algebra.Polynomial.Degree.Lemmas
import Mathlib.Algebra.Polynomial.Degree.Monomial
/-!
# Erase the leading term of a univariate polynomial
## Definition
* `eraseLead f`: the polynomial `f - leading term of f`
`eraseLead` serves as reduction step in an induction, shaving off one monomial from a polynomial.
The definition is set up so that it does not mention subtraction in the definition,
and thus works for polynomials over semirings as well as rings.
-/
noncomputable section
open Polynomial
open Polynomial Finset
namespace Polynomial
variable {R : Type*} [Semiring R] {f : R[X]}
/-- `eraseLead f` for a polynomial `f` is the polynomial obtained by
subtracting from `f` the leading term of `f`. -/
def eraseLead (f : R[X]) : R[X] :=
Polynomial.erase f.natDegree f
section EraseLead
theorem eraseLead_support (f : R[X]) : f.eraseLead.support = f.support.erase f.natDegree := by
simp only [eraseLead, support_erase]
theorem eraseLead_coeff (i : ℕ) :
f.eraseLead.coeff i = if i = f.natDegree then 0 else f.coeff i := by
simp only [eraseLead, coeff_erase]
@[simp]
theorem eraseLead_coeff_natDegree : f.eraseLead.coeff f.natDegree = 0 := by simp [eraseLead_coeff]
theorem eraseLead_coeff_of_ne (i : ℕ) (hi : i ≠ f.natDegree) : f.eraseLead.coeff i = f.coeff i := by
simp [eraseLead_coeff, hi]
@[simp]
theorem eraseLead_zero : eraseLead (0 : R[X]) = 0 := by simp only [eraseLead, erase_zero]
@[simp]
theorem eraseLead_add_monomial_natDegree_leadingCoeff (f : R[X]) :
f.eraseLead + monomial f.natDegree f.leadingCoeff = f :=
(add_comm _ _).trans (f.monomial_add_erase _)
@[simp]
theorem eraseLead_add_C_mul_X_pow (f : R[X]) :
f.eraseLead + C f.leadingCoeff * X ^ f.natDegree = f := by
rw [C_mul_X_pow_eq_monomial, eraseLead_add_monomial_natDegree_leadingCoeff]
@[simp]
theorem self_sub_monomial_natDegree_leadingCoeff {R : Type*} [Ring R] (f : R[X]) :
f - monomial f.natDegree f.leadingCoeff = f.eraseLead :=
(eq_sub_iff_add_eq.mpr (eraseLead_add_monomial_natDegree_leadingCoeff f)).symm
@[simp]
theorem self_sub_C_mul_X_pow {R : Type*} [Ring R] (f : R[X]) :
f - C f.leadingCoeff * X ^ f.natDegree = f.eraseLead := by
rw [C_mul_X_pow_eq_monomial, self_sub_monomial_natDegree_leadingCoeff]
theorem eraseLead_ne_zero (f0 : 2 ≤ #f.support) : eraseLead f ≠ 0 := by
rw [Ne, ← card_support_eq_zero, eraseLead_support]
exact
(zero_lt_one.trans_le <| (tsub_le_tsub_right f0 1).trans Finset.pred_card_le_card_erase).ne.symm
theorem lt_natDegree_of_mem_eraseLead_support {a : ℕ} (h : a ∈ (eraseLead f).support) :
a < f.natDegree := by
rw [eraseLead_support, mem_erase] at h
exact (le_natDegree_of_mem_supp a h.2).lt_of_ne h.1
theorem ne_natDegree_of_mem_eraseLead_support {a : ℕ} (h : a ∈ (eraseLead f).support) :
a ≠ f.natDegree :=
(lt_natDegree_of_mem_eraseLead_support h).ne
theorem natDegree_not_mem_eraseLead_support : f.natDegree ∉ (eraseLead f).support := fun h =>
ne_natDegree_of_mem_eraseLead_support h rfl
theorem eraseLead_support_card_lt (h : f ≠ 0) : #(eraseLead f).support < #f.support := by
rw [eraseLead_support]
exact card_lt_card (erase_ssubset <| natDegree_mem_support_of_nonzero h)
theorem card_support_eraseLead_add_one (h : f ≠ 0) : #f.eraseLead.support + 1 = #f.support := by
set c := #f.support with hc
cases h₁ : c
case zero =>
by_contra
exact h (card_support_eq_zero.mp h₁)
case succ =>
rw [eraseLead_support, card_erase_of_mem (natDegree_mem_support_of_nonzero h), ← hc, h₁]
rfl
@[simp]
theorem card_support_eraseLead : #f.eraseLead.support = #f.support - 1 := by
by_cases hf : f = 0
· rw [hf, eraseLead_zero, support_zero, card_empty]
· rw [← card_support_eraseLead_add_one hf, add_tsub_cancel_right]
theorem card_support_eraseLead' {c : ℕ} (fc : #f.support = c + 1) :
#f.eraseLead.support = c := by
rw [card_support_eraseLead, fc, add_tsub_cancel_right]
theorem card_support_eq_one_of_eraseLead_eq_zero (h₀ : f ≠ 0) (h₁ : f.eraseLead = 0) :
#f.support = 1 :=
(card_support_eq_zero.mpr h₁ ▸ card_support_eraseLead_add_one h₀).symm
theorem card_support_le_one_of_eraseLead_eq_zero (h : f.eraseLead = 0) : #f.support ≤ 1 := by
by_cases hpz : f = 0
case pos => simp [hpz]
case neg => exact le_of_eq (card_support_eq_one_of_eraseLead_eq_zero hpz h)
@[simp]
theorem eraseLead_monomial (i : ℕ) (r : R) : eraseLead (monomial i r) = 0 := by
classical
by_cases hr : r = 0
· subst r
simp only [monomial_zero_right, eraseLead_zero]
· rw [eraseLead, natDegree_monomial, if_neg hr, erase_monomial]
@[simp]
theorem eraseLead_C (r : R) : eraseLead (C r) = 0 :=
eraseLead_monomial _ _
@[simp]
theorem eraseLead_X : eraseLead (X : R[X]) = 0 :=
eraseLead_monomial _ _
@[simp]
theorem eraseLead_X_pow (n : ℕ) : eraseLead (X ^ n : R[X]) = 0 := by
rw [X_pow_eq_monomial, eraseLead_monomial]
@[simp]
theorem eraseLead_C_mul_X_pow (r : R) (n : ℕ) : eraseLead (C r * X ^ n) = 0 := by
rw [C_mul_X_pow_eq_monomial, eraseLead_monomial]
@[simp] lemma eraseLead_C_mul_X (r : R) : eraseLead (C r * X) = 0 := by
simpa using eraseLead_C_mul_X_pow _ 1
theorem eraseLead_add_of_degree_lt_left {p q : R[X]} (pq : q.degree < p.degree) :
(p + q).eraseLead = p.eraseLead + q := by
ext n
by_cases nd : n = p.natDegree
· rw [nd, eraseLead_coeff, if_pos (natDegree_add_eq_left_of_degree_lt pq).symm]
simpa using (coeff_eq_zero_of_degree_lt (lt_of_lt_of_le pq degree_le_natDegree)).symm
· rw [eraseLead_coeff, coeff_add, coeff_add, eraseLead_coeff, if_neg, if_neg nd]
rintro rfl
exact nd (natDegree_add_eq_left_of_degree_lt pq)
theorem eraseLead_add_of_natDegree_lt_left {p q : R[X]} (pq : q.natDegree < p.natDegree) :
(p + q).eraseLead = p.eraseLead + q :=
eraseLead_add_of_degree_lt_left (degree_lt_degree pq)
theorem eraseLead_add_of_degree_lt_right {p q : R[X]} (pq : p.degree < q.degree) :
(p + q).eraseLead = p + q.eraseLead := by
ext n
by_cases nd : n = q.natDegree
· rw [nd, eraseLead_coeff, if_pos (natDegree_add_eq_right_of_degree_lt pq).symm]
simpa using (coeff_eq_zero_of_degree_lt (lt_of_lt_of_le pq degree_le_natDegree)).symm
· rw [eraseLead_coeff, coeff_add, coeff_add, eraseLead_coeff, if_neg, if_neg nd]
rintro rfl
exact nd (natDegree_add_eq_right_of_degree_lt pq)
theorem eraseLead_add_of_natDegree_lt_right {p q : R[X]} (pq : p.natDegree < q.natDegree) :
(p + q).eraseLead = p + q.eraseLead :=
eraseLead_add_of_degree_lt_right (degree_lt_degree pq)
theorem eraseLead_degree_le : (eraseLead f).degree ≤ f.degree :=
f.degree_erase_le _
theorem degree_eraseLead_lt (hf : f ≠ 0) : (eraseLead f).degree < f.degree :=
f.degree_erase_lt hf
theorem eraseLead_natDegree_le_aux : (eraseLead f).natDegree ≤ f.natDegree :=
natDegree_le_natDegree eraseLead_degree_le
theorem eraseLead_natDegree_lt (f0 : 2 ≤ #f.support) : (eraseLead f).natDegree < f.natDegree :=
lt_of_le_of_ne eraseLead_natDegree_le_aux <|
ne_natDegree_of_mem_eraseLead_support <|
natDegree_mem_support_of_nonzero <| eraseLead_ne_zero f0
theorem natDegree_pos_of_eraseLead_ne_zero (h : f.eraseLead ≠ 0) : 0 < f.natDegree := by
by_contra h₂
rw [eq_C_of_natDegree_eq_zero (Nat.eq_zero_of_not_pos h₂)] at h
simp at h
theorem eraseLead_natDegree_lt_or_eraseLead_eq_zero (f : R[X]) :
(eraseLead f).natDegree < f.natDegree ∨ f.eraseLead = 0 := by
by_cases h : #f.support ≤ 1
· right
rw [← C_mul_X_pow_eq_self h]
simp
· left
apply eraseLead_natDegree_lt (lt_of_not_ge h)
theorem eraseLead_natDegree_le (f : R[X]) : (eraseLead f).natDegree ≤ f.natDegree - 1 := by
rcases f.eraseLead_natDegree_lt_or_eraseLead_eq_zero with (h | h)
· exact Nat.le_sub_one_of_lt h
· simp only [h, natDegree_zero, zero_le]
lemma natDegree_eraseLead (h : f.nextCoeff ≠ 0) : f.eraseLead.natDegree = f.natDegree - 1 := by
have := natDegree_pos_of_nextCoeff_ne_zero h
refine f.eraseLead_natDegree_le.antisymm <| le_natDegree_of_ne_zero ?_
rwa [eraseLead_coeff_of_ne _ (tsub_lt_self _ _).ne, ← nextCoeff_of_natDegree_pos]
all_goals positivity
lemma natDegree_eraseLead_add_one (h : f.nextCoeff ≠ 0) :
f.eraseLead.natDegree + 1 = f.natDegree := by
rw [natDegree_eraseLead h, tsub_add_cancel_of_le]
exact natDegree_pos_of_nextCoeff_ne_zero h
theorem natDegree_eraseLead_le_of_nextCoeff_eq_zero (h : f.nextCoeff = 0) :
f.eraseLead.natDegree ≤ f.natDegree - 2 := by
refine natDegree_le_pred (n := f.natDegree - 1) (eraseLead_natDegree_le f) ?_
rw [nextCoeff_eq_zero, natDegree_eq_zero] at h
obtain ⟨a, rfl⟩ | ⟨hf, h⟩ := h
· simp
rw [eraseLead_coeff_of_ne _ (tsub_lt_self hf zero_lt_one).ne, ← nextCoeff_of_natDegree_pos hf]
simp [nextCoeff_eq_zero, h, eq_zero_or_pos]
lemma two_le_natDegree_of_nextCoeff_eraseLead (hlead : f.eraseLead ≠ 0)
(hnext : f.nextCoeff = 0) : 2 ≤ f.natDegree := by
contrapose! hlead
rw [Nat.lt_succ_iff, Nat.le_one_iff_eq_zero_or_eq_one, natDegree_eq_zero, natDegree_eq_one]
at hlead
obtain ⟨a, rfl⟩ | ⟨a, ha, b, rfl⟩ := hlead
· simp
· rw [nextCoeff_C_mul_X_add_C ha] at hnext
subst b
simp
theorem leadingCoeff_eraseLead_eq_nextCoeff (h : f.nextCoeff ≠ 0) :
f.eraseLead.leadingCoeff = f.nextCoeff := by
have := natDegree_pos_of_nextCoeff_ne_zero h
rw [leadingCoeff, nextCoeff, natDegree_eraseLead h, if_neg,
eraseLead_coeff_of_ne _ (tsub_lt_self _ _).ne]
all_goals positivity
theorem nextCoeff_eq_zero_of_eraseLead_eq_zero (h : f.eraseLead = 0) : f.nextCoeff = 0 := by
by_contra h₂
exact leadingCoeff_ne_zero.mp (leadingCoeff_eraseLead_eq_nextCoeff h₂ ▸ h₂) h
end EraseLead
/-- An induction lemma for polynomials. It takes a natural number `N` as a parameter, that is
required to be at least as big as the `nat_degree` of the polynomial. This is useful to prove
results where you want to change each term in a polynomial to something else depending on the
`nat_degree` of the polynomial itself and not on the specific `nat_degree` of each term. -/
theorem induction_with_natDegree_le (P : R[X] → Prop) (N : ℕ) (P_0 : P 0)
(P_C_mul_pow : ∀ n : ℕ, ∀ r : R, r ≠ 0 → n ≤ N → P (C r * X ^ n))
(P_C_add : ∀ f g : R[X], f.natDegree < g.natDegree → g.natDegree ≤ N → P f → P g → P (f + g)) :
∀ f : R[X], f.natDegree ≤ N → P f := by
intro f df
generalize hd : #f.support = c
revert f
induction' c with c hc
· intro f _ f0
convert P_0
simpa [support_eq_empty, card_eq_zero] using f0
· intro f df f0
rw [← eraseLead_add_C_mul_X_pow f]
cases c
· convert P_C_mul_pow f.natDegree f.leadingCoeff ?_ df using 1
· convert zero_add (C (leadingCoeff f) * X ^ f.natDegree)
rw [← card_support_eq_zero, card_support_eraseLead' f0]
· rw [leadingCoeff_ne_zero, Ne, ← card_support_eq_zero, f0]
exact zero_ne_one.symm
refine P_C_add f.eraseLead _ ?_ ?_ ?_ ?_
· refine (eraseLead_natDegree_lt ?_).trans_le (le_of_eq ?_)
· exact (Nat.succ_le_succ (Nat.succ_le_succ (Nat.zero_le _))).trans f0.ge
· rw [natDegree_C_mul_X_pow _ _ (leadingCoeff_ne_zero.mpr _)]
rintro rfl
simp at f0
· exact (natDegree_C_mul_X_pow_le f.leadingCoeff f.natDegree).trans df
· exact hc _ (eraseLead_natDegree_le_aux.trans df) (card_support_eraseLead' f0)
· refine P_C_mul_pow _ _ ?_ df
rw [Ne, leadingCoeff_eq_zero, ← card_support_eq_zero, f0]
exact Nat.succ_ne_zero _
/-- Let `φ : R[x] → S[x]` be an additive map, `k : ℕ` a bound, and `fu : ℕ → ℕ` a
"sufficiently monotone" map. Assume also that
* `φ` maps to `0` all monomials of degree less than `k`,
* `φ` maps each monomial `m` in `R[x]` to a polynomial `φ m` of degree `fu (deg m)`.
Then, `φ` maps each polynomial `p` in `R[x]` to a polynomial of degree `fu (deg p)`. -/
theorem mono_map_natDegree_eq {S F : Type*} [Semiring S]
[FunLike F R[X] S[X]] [AddMonoidHomClass F R[X] S[X]] {φ : F}
{p : R[X]} (k : ℕ) (fu : ℕ → ℕ) (fu0 : ∀ {n}, n ≤ k → fu n = 0)
(fc : ∀ {n m}, k ≤ n → n < m → fu n < fu m) (φ_k : ∀ {f : R[X]}, f.natDegree < k → φ f = 0)
(φ_mon_nat : ∀ n c, c ≠ 0 → (φ (monomial n c)).natDegree = fu n) :
(φ p).natDegree = fu p.natDegree := by
refine induction_with_natDegree_le (fun p => (φ p).natDegree = fu p.natDegree)
p.natDegree (by simp [fu0]) ?_ ?_ _ rfl.le
· intro n r r0 _
rw [natDegree_C_mul_X_pow _ _ r0, C_mul_X_pow_eq_monomial, φ_mon_nat _ _ r0]
· intro f g fg _ fk gk
rw [natDegree_add_eq_right_of_natDegree_lt fg, map_add]
by_cases FG : k ≤ f.natDegree
· rw [natDegree_add_eq_right_of_natDegree_lt, gk]
rw [fk, gk]
exact fc FG fg
· cases k
· exact (FG (Nat.zero_le _)).elim
· rwa [φ_k (not_le.mp FG), zero_add]
theorem map_natDegree_eq_sub {S F : Type*} [Semiring S]
[FunLike F R[X] S[X]] [AddMonoidHomClass F R[X] S[X]] {φ : F}
{p : R[X]} {k : ℕ} (φ_k : ∀ f : R[X], f.natDegree < k → φ f = 0)
(φ_mon : ∀ n c, c ≠ 0 → (φ (monomial n c)).natDegree = n - k) :
(φ p).natDegree = p.natDegree - k :=
mono_map_natDegree_eq k (fun j => j - k) (by simp_all)
(@fun _ _ h => (tsub_lt_tsub_iff_right h).mpr)
(φ_k _) φ_mon
theorem map_natDegree_eq_natDegree {S F : Type*} [Semiring S]
[FunLike F R[X] S[X]] [AddMonoidHomClass F R[X] S[X]]
{φ : F} (p) (φ_mon_nat : ∀ n c, c ≠ 0 → (φ (monomial n c)).natDegree = n) :
(φ p).natDegree = p.natDegree :=
(map_natDegree_eq_sub (fun _ h => (Nat.not_lt_zero _ h).elim) (by simpa)).trans
p.natDegree.sub_zero
theorem card_support_eq' {n : ℕ} (k : Fin n → ℕ) (x : Fin n → R) (hk : Function.Injective k)
(hx : ∀ i, x i ≠ 0) : #(∑ i, C (x i) * X ^ k i).support = n := by
suffices (∑ i, C (x i) * X ^ k i).support = image k univ by
rw [this, univ.card_image_of_injective hk, card_fin]
simp_rw [Finset.ext_iff, mem_support_iff, finset_sum_coeff, coeff_C_mul_X_pow, mem_image,
mem_univ, true_and]
refine fun i => ⟨fun h => ?_, ?_⟩
· obtain ⟨j, _, h⟩ := exists_ne_zero_of_sum_ne_zero h
exact ⟨j, (ite_ne_right_iff.mp h).1.symm⟩
· rintro ⟨j, _, rfl⟩
rw [sum_eq_single_of_mem j (mem_univ j), if_pos rfl]
· exact hx j
· exact fun m _ hmj => if_neg fun h => hmj.symm (hk h)
theorem card_support_eq {n : ℕ} :
#f.support = n ↔
∃ (k : Fin n → ℕ) (x : Fin n → R) (_ : StrictMono k) (_ : ∀ i, x i ≠ 0),
f = ∑ i, C (x i) * X ^ k i := by
refine ⟨?_, fun ⟨k, x, hk, hx, hf⟩ => hf.symm ▸ card_support_eq' k x hk.injective hx⟩
induction n generalizing f with
| zero => exact fun hf => ⟨0, 0, fun x => x.elim0, fun x => x.elim0, card_support_eq_zero.mp hf⟩
| succ n hn =>
intro h
obtain ⟨k, x, hk, hx, hf⟩ := hn (card_support_eraseLead' h)
have H : ¬∃ k : Fin n, Fin.castSucc k = Fin.last n := by
rintro ⟨i, hi⟩
exact i.castSucc_lt_last.ne hi
refine
⟨Function.extend Fin.castSucc k fun _ => f.natDegree,
Function.extend Fin.castSucc x fun _ => f.leadingCoeff, ?_, ?_, ?_⟩
· intro i j hij
have hi : i ∈ Set.range (Fin.castSucc : Fin n → Fin (n + 1)) := by
rw [Fin.range_castSucc, Set.mem_def]
exact lt_of_lt_of_le hij (Nat.lt_succ_iff.mp j.2)
obtain ⟨i, rfl⟩ := hi
rw [Fin.strictMono_castSucc.injective.extend_apply]
by_cases hj : ∃ j₀, Fin.castSucc j₀ = j
· obtain ⟨j, rfl⟩ := hj
rwa [Fin.strictMono_castSucc.injective.extend_apply, hk.lt_iff_lt,
← Fin.castSucc_lt_castSucc_iff]
· rw [Function.extend_apply' _ _ _ hj]
apply lt_natDegree_of_mem_eraseLead_support
rw [mem_support_iff, hf, finset_sum_coeff]
rw [sum_eq_single, coeff_C_mul, coeff_X_pow_self, mul_one]
· exact hx i
· intro j _ hji
rw [coeff_C_mul, coeff_X_pow, if_neg (hk.injective.ne hji.symm), mul_zero]
· exact fun hi => (hi (mem_univ i)).elim
· intro i
by_cases hi : ∃ i₀, Fin.castSucc i₀ = i
· obtain ⟨i, rfl⟩ := hi
rw [Fin.strictMono_castSucc.injective.extend_apply]
exact hx i
· rw [Function.extend_apply' _ _ _ hi, Ne, leadingCoeff_eq_zero, ← card_support_eq_zero, h]
exact n.succ_ne_zero
· rw [Fin.sum_univ_castSucc]
simp only [Fin.strictMono_castSucc.injective.extend_apply]
rw [← hf, Function.extend_apply', Function.extend_apply', eraseLead_add_C_mul_X_pow]
all_goals exact H
theorem card_support_eq_one : #f.support = 1 ↔
∃ (k : ℕ) (x : R) (_ : x ≠ 0), f = C x * X ^ k := by
refine ⟨fun h => ?_, ?_⟩
· obtain ⟨k, x, _, hx, rfl⟩ := card_support_eq.mp h
exact ⟨k 0, x 0, hx 0, Fin.sum_univ_one _⟩
· rintro ⟨k, x, hx, rfl⟩
rw [support_C_mul_X_pow k hx, card_singleton]
theorem card_support_eq_two :
#f.support = 2 ↔
∃ (k m : ℕ) (_ : k < m) (x y : R) (_ : x ≠ 0) (_ : y ≠ 0),
f = C x * X ^ k + C y * X ^ m := by
refine ⟨fun h => ?_, ?_⟩
· obtain ⟨k, x, hk, hx, rfl⟩ := card_support_eq.mp h
refine ⟨k 0, k 1, hk Nat.zero_lt_one, x 0, x 1, hx 0, hx 1, ?_⟩
rw [Fin.sum_univ_castSucc, Fin.sum_univ_one]
rfl
· rintro ⟨k, m, hkm, x, y, hx, hy, rfl⟩
exact card_support_binomial hkm.ne hx hy
theorem card_support_eq_three :
#f.support = 3 ↔
∃ (k m n : ℕ) (_ : k < m) (_ : m < n) (x y z : R) (_ : x ≠ 0) (_ : y ≠ 0) (_ : z ≠ 0),
f = C x * X ^ k + C y * X ^ m + C z * X ^ n := by
refine ⟨fun h => ?_, ?_⟩
· obtain ⟨k, x, hk, hx, rfl⟩ := card_support_eq.mp h
refine
⟨k 0, k 1, k 2, hk Nat.zero_lt_one, hk (Nat.lt_succ_self 1), x 0, x 1, x 2, hx 0, hx 1, hx 2,
?_⟩
rw [Fin.sum_univ_castSucc, Fin.sum_univ_castSucc, Fin.sum_univ_one]
rfl
· rintro ⟨k, m, n, hkm, hmn, x, y, z, hx, hy, hz, rfl⟩
exact card_support_trinomial hkm hmn hx hy hz
end Polynomial
| Mathlib/Algebra/Polynomial/EraseLead.lean | 433 | 443 | |
/-
Copyright (c) 2021 Yaël Dillies, Bhavik Mehta. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yaël Dillies, Bhavik Mehta
-/
import Mathlib.Analysis.Convex.Hull
/-!
# Extreme sets
This file defines extreme sets and extreme points for sets in a module.
An extreme set of `A` is a subset of `A` that is as far as it can get in any outward direction: If
point `x` is in it and point `y ∈ A`, then the line passing through `x` and `y` leaves `A` at `x`.
This is an analytic notion of "being on the side of". It is weaker than being exposed (see
`IsExposed.isExtreme`).
## Main declarations
* `IsExtreme 𝕜 A B`: States that `B` is an extreme set of `A` (in the literature, `A` is often
implicit).
* `Set.extremePoints 𝕜 A`: Set of extreme points of `A` (corresponding to extreme singletons).
* `Convex.mem_extremePoints_iff_convex_diff`: A useful equivalent condition to being an extreme
point: `x` is an extreme point iff `A \ {x}` is convex.
## Implementation notes
The exact definition of extremeness has been carefully chosen so as to make as many lemmas
unconditional (in particular, the Krein-Milman theorem doesn't need the set to be convex!).
In practice, `A` is often assumed to be a convex set.
## References
See chapter 8 of [Barry Simon, *Convexity*][simon2011]
## TODO
Prove lemmas relating extreme sets and points to the intrinsic frontier.
-/
open Function Set Affine
variable {𝕜 E F ι : Type*} {M : ι → Type*}
section SMul
variable (𝕜) [Semiring 𝕜] [PartialOrder 𝕜] [AddCommMonoid E] [SMul 𝕜 E]
/-- A set `B` is an extreme subset of `A` if `B ⊆ A` and all points of `B` only belong to open
segments whose ends are in `B`. -/
def IsExtreme (A B : Set E) : Prop :=
B ⊆ A ∧ ∀ ⦃x₁⦄, x₁ ∈ A → ∀ ⦃x₂⦄, x₂ ∈ A → ∀ ⦃x⦄, x ∈ B → x ∈ openSegment 𝕜 x₁ x₂ → x₁ ∈ B ∧ x₂ ∈ B
/-- A point `x` is an extreme point of a set `A` if `x` belongs to no open segment with ends in
`A`, except for the obvious `openSegment x x`.
In order to prove that `x` is an extreme point of `A`,
it is convenient to use `mem_extremePoints_iff_left` to avoid repeating arguments twice. -/
def Set.extremePoints (A : Set E) : Set E :=
{ x ∈ A | ∀ ⦃x₁⦄, x₁ ∈ A → ∀ ⦃x₂⦄, x₂ ∈ A → x ∈ openSegment 𝕜 x₁ x₂ → x₁ = x ∧ x₂ = x }
@[refl]
protected theorem IsExtreme.refl (A : Set E) : IsExtreme 𝕜 A A :=
⟨Subset.rfl, fun _ hx₁A _ hx₂A _ _ _ ↦ ⟨hx₁A, hx₂A⟩⟩
variable {𝕜} {A B C : Set E} {x : E}
protected theorem IsExtreme.rfl : IsExtreme 𝕜 A A :=
IsExtreme.refl 𝕜 A
@[trans]
protected theorem IsExtreme.trans (hAB : IsExtreme 𝕜 A B) (hBC : IsExtreme 𝕜 B C) :
IsExtreme 𝕜 A C := by
refine ⟨Subset.trans hBC.1 hAB.1, fun x₁ hx₁A x₂ hx₂A x hxC hx ↦ ?_⟩
obtain ⟨hx₁B, hx₂B⟩ := hAB.2 hx₁A hx₂A (hBC.1 hxC) hx
exact hBC.2 hx₁B hx₂B hxC hx
protected theorem IsExtreme.antisymm : AntiSymmetric (IsExtreme 𝕜 : Set E → Set E → Prop) :=
fun _ _ hAB hBA ↦ Subset.antisymm hBA.1 hAB.1
instance : IsPartialOrder (Set E) (IsExtreme 𝕜) where
refl := IsExtreme.refl 𝕜
trans _ _ _ := IsExtreme.trans
antisymm := IsExtreme.antisymm
theorem IsExtreme.inter (hAB : IsExtreme 𝕜 A B) (hAC : IsExtreme 𝕜 A C) :
IsExtreme 𝕜 A (B ∩ C) := by
use Subset.trans inter_subset_left hAB.1
rintro x₁ hx₁A x₂ hx₂A x ⟨hxB, hxC⟩ hx
obtain ⟨hx₁B, hx₂B⟩ := hAB.2 hx₁A hx₂A hxB hx
obtain ⟨hx₁C, hx₂C⟩ := hAC.2 hx₁A hx₂A hxC hx
exact ⟨⟨hx₁B, hx₁C⟩, hx₂B, hx₂C⟩
protected theorem IsExtreme.mono (hAC : IsExtreme 𝕜 A C) (hBA : B ⊆ A) (hCB : C ⊆ B) :
IsExtreme 𝕜 B C :=
⟨hCB, fun _ hx₁B _ hx₂B _ hxC hx ↦ hAC.2 (hBA hx₁B) (hBA hx₂B) hxC hx⟩
theorem isExtreme_iInter {ι : Sort*} [Nonempty ι] {F : ι → Set E}
(hAF : ∀ i : ι, IsExtreme 𝕜 A (F i)) : IsExtreme 𝕜 A (⋂ i : ι, F i) := by
obtain i := Classical.arbitrary ι
refine ⟨iInter_subset_of_subset i (hAF i).1, fun x₁ hx₁A x₂ hx₂A x hxF hx ↦ ?_⟩
simp_rw [mem_iInter] at hxF ⊢
have h := fun i ↦ (hAF i).2 hx₁A hx₂A (hxF i) hx
exact ⟨fun i ↦ (h i).1, fun i ↦ (h i).2⟩
theorem isExtreme_biInter {F : Set (Set E)} (hF : F.Nonempty) (hA : ∀ B ∈ F, IsExtreme 𝕜 A B) :
IsExtreme 𝕜 A (⋂ B ∈ F, B) := by
haveI := hF.to_subtype
simpa only [iInter_subtype] using isExtreme_iInter fun i : F ↦ hA _ i.2
theorem isExtreme_sInter {F : Set (Set E)} (hF : F.Nonempty) (hAF : ∀ B ∈ F, IsExtreme 𝕜 A B) :
IsExtreme 𝕜 A (⋂₀ F) := by simpa [sInter_eq_biInter] using isExtreme_biInter hF hAF
theorem mem_extremePoints : x ∈ A.extremePoints 𝕜 ↔
x ∈ A ∧ ∀ᵉ (x₁ ∈ A) (x₂ ∈ A), x ∈ openSegment 𝕜 x₁ x₂ → x₁ = x ∧ x₂ = x :=
Iff.rfl
/-- In order to prove that a point `x` is an extreme point of a set `A`,
it suffices to show that `x ∈ A`
and for any `x₁`, `x₂` such that `x` belongs to the open segment `(x₁, x₂)`, we have `x₁ = x`.
The definition of `extremePoints` also requires `x₂ = x`, but this condition is redundant. -/
theorem mem_extremePoints_iff_left : x ∈ A.extremePoints 𝕜 ↔
x ∈ A ∧ ∀ x₁ ∈ A, ∀ x₂ ∈ A, x ∈ openSegment 𝕜 x₁ x₂ → x₁ = x := by
refine ⟨fun h ↦ ⟨h.1, fun x₁ hx₁ x₂ hx₂ hx ↦ (h.2 hx₁ hx₂ hx).1⟩, ?_⟩
rintro ⟨hxA, Hx⟩
use hxA
refine fun x₁ hx₁ x₂ hx₂ hx ↦ ⟨Hx x₁ hx₁ x₂ hx₂ hx, Hx x₂ hx₂ x₁ hx₁ ?_⟩
rwa [openSegment_symm]
/-- x is an extreme point to A iff {x} is an extreme set of A. -/
@[simp] lemma isExtreme_singleton : IsExtreme 𝕜 A {x} ↔ x ∈ A.extremePoints 𝕜 := by
refine ⟨fun hx ↦ ⟨singleton_subset_iff.1 hx.1, fun x₁ hx₁ x₂ hx₂ ↦ hx.2 hx₁ hx₂ rfl⟩, ?_⟩
rintro ⟨hxA, hAx⟩
use singleton_subset_iff.2 hxA
rintro x₁ hx₁A x₂ hx₂A y (rfl : y = x)
exact hAx hx₁A hx₂A
alias ⟨IsExtreme.mem_extremePoints, _⟩ := isExtreme_singleton
theorem extremePoints_subset : A.extremePoints 𝕜 ⊆ A :=
fun _ hx ↦ hx.1
@[simp]
theorem extremePoints_empty : (∅ : Set E).extremePoints 𝕜 = ∅ :=
subset_empty_iff.1 extremePoints_subset
@[simp]
theorem extremePoints_singleton : ({x} : Set E).extremePoints 𝕜 = {x} :=
extremePoints_subset.antisymm <|
singleton_subset_iff.2 ⟨mem_singleton x, fun _ hx₁ _ hx₂ _ ↦ ⟨hx₁, hx₂⟩⟩
theorem inter_extremePoints_subset_extremePoints_of_subset (hBA : B ⊆ A) :
B ∩ A.extremePoints 𝕜 ⊆ B.extremePoints 𝕜 :=
fun _ ⟨hxB, hxA⟩ ↦ ⟨hxB, fun _ hx₁ _ hx₂ hx ↦ hxA.2 (hBA hx₁) (hBA hx₂) hx⟩
theorem IsExtreme.extremePoints_subset_extremePoints (hAB : IsExtreme 𝕜 A B) :
B.extremePoints 𝕜 ⊆ A.extremePoints 𝕜 :=
fun _ ↦ by simpa only [← isExtreme_singleton] using hAB.trans
theorem IsExtreme.extremePoints_eq (hAB : IsExtreme 𝕜 A B) :
B.extremePoints 𝕜 = B ∩ A.extremePoints 𝕜 :=
Subset.antisymm (fun _ hx ↦ ⟨hx.1, hAB.extremePoints_subset_extremePoints hx⟩)
(inter_extremePoints_subset_extremePoints_of_subset hAB.1)
end SMul
section OrderedSemiring
variable [Semiring 𝕜] [PartialOrder 𝕜] [AddCommGroup E] [AddCommGroup F] [∀ i, AddCommGroup (M i)]
[Module 𝕜 E] [Module 𝕜 F] [∀ i, Module 𝕜 (M i)] {A B : Set E}
theorem IsExtreme.convex_diff [IsOrderedRing 𝕜] (hA : Convex 𝕜 A) (hAB : IsExtreme 𝕜 A B) :
Convex 𝕜 (A \ B) :=
convex_iff_openSegment_subset.2 fun _ ⟨hx₁A, hx₁B⟩ _ ⟨hx₂A, _⟩ _ hx ↦
⟨hA.openSegment_subset hx₁A hx₂A hx, fun hxB ↦ hx₁B (hAB.2 hx₁A hx₂A hxB hx).1⟩
@[simp]
theorem extremePoints_prod (s : Set E) (t : Set F) :
(s ×ˢ t).extremePoints 𝕜 = s.extremePoints 𝕜 ×ˢ t.extremePoints 𝕜 := by
ext
refine (and_congr_right fun hx ↦ ⟨fun h ↦ ?_, fun h ↦ ?_⟩).trans and_and_and_comm
constructor
· rintro x₁ hx₁ x₂ hx₂ hx_fst
refine (h (mk_mem_prod hx₁ hx.2) (mk_mem_prod hx₂ hx.2) ?_).imp (congr_arg Prod.fst)
(congr_arg Prod.fst)
rw [← Prod.image_mk_openSegment_left]
exact ⟨_, hx_fst, rfl⟩
· rintro x₁ hx₁ x₂ hx₂ hx_snd
refine (h (mk_mem_prod hx.1 hx₁) (mk_mem_prod hx.1 hx₂) ?_).imp (congr_arg Prod.snd)
(congr_arg Prod.snd)
rw [← Prod.image_mk_openSegment_right]
exact ⟨_, hx_snd, rfl⟩
· rintro x₁ hx₁ x₂ hx₂ ⟨a, b, ha, hb, hab, hx'⟩
simp_rw [Prod.ext_iff]
exact and_and_and_comm.1
⟨h.1 hx₁.1 hx₂.1 ⟨a, b, ha, hb, hab, congr_arg Prod.fst hx'⟩,
h.2 hx₁.2 hx₂.2 ⟨a, b, ha, hb, hab, congr_arg Prod.snd hx'⟩⟩
@[simp]
theorem extremePoints_pi (s : ∀ i, Set (M i)) :
(univ.pi s).extremePoints 𝕜 = univ.pi fun i ↦ (s i).extremePoints 𝕜 := by
classical
ext x
simp only [mem_extremePoints, mem_pi, mem_univ, true_imp_iff, @forall_and ι]
refine and_congr_right fun hx ↦ ⟨fun h i ↦ ?_, fun h ↦ ?_⟩
· rintro x₁ hx₁ x₂ hx₂ hi
refine (h (update x i x₁) ?_ (update x i x₂) ?_ ?_).imp (fun h₁ ↦ by rw [← h₁, update_self])
fun h₂ ↦ by rw [← h₂, update_self]
iterate 2
rintro j
obtain rfl | hji := eq_or_ne j i
· rwa [update_self]
· rw [update_of_ne hji]
exact hx _
rw [← Pi.image_update_openSegment]
exact ⟨_, hi, update_eq_self _ _⟩
· rintro x₁ hx₁ x₂ hx₂ ⟨a, b, ha, hb, hab, hx'⟩
simp_rw [funext_iff, ← forall_and]
exact fun i ↦ h _ _ (hx₁ _) _ (hx₂ _) ⟨a, b, ha, hb, hab, congr_fun hx' _⟩
end OrderedSemiring
section OrderedRing
variable {L : Type*} [Ring 𝕜] [PartialOrder 𝕜] [IsOrderedRing 𝕜]
[AddCommGroup E] [Module 𝕜 E] [AddCommGroup F] [Module 𝕜 F]
[EquivLike L E F] [LinearEquivClass L 𝕜 E F]
lemma image_extremePoints (f : L) (s : Set E) :
f '' extremePoints 𝕜 s = extremePoints 𝕜 (f '' s) := by
ext b
obtain ⟨a, rfl⟩ := EquivLike.surjective f b
have : ∀ x y, f '' openSegment 𝕜 x y = openSegment 𝕜 (f x) (f y) :=
image_openSegment _ (LinearMapClass.linearMap f).toAffineMap
simp only [mem_extremePoints, (EquivLike.surjective f).forall,
(EquivLike.injective f).mem_set_image, (EquivLike.injective f).eq_iff, ← this]
end OrderedRing
section LinearOrderedRing
variable [Ring 𝕜] [LinearOrder 𝕜] [IsStrictOrderedRing 𝕜] [AddCommGroup E] [Module 𝕜 E]
variable [DenselyOrdered 𝕜] [NoZeroSMulDivisors 𝕜 E] {A : Set E} {x : E}
/-- A useful restatement using `segment`: `x` is an extreme point iff the only (closed) segments
that contain it are those with `x` as one of their endpoints. -/
theorem mem_extremePoints_iff_forall_segment : x ∈ A.extremePoints 𝕜 ↔
x ∈ A ∧ ∀ᵉ (x₁ ∈ A) (x₂ ∈ A), x ∈ segment 𝕜 x₁ x₂ → x₁ = x ∨ x₂ = x := by
refine and_congr_right fun hxA ↦ forall₄_congr fun x₁ h₁ x₂ h₂ ↦ ?_
constructor
· rw [← insert_endpoints_openSegment]
rintro H (rfl | rfl | hx)
exacts [Or.inl rfl, Or.inr rfl, Or.inl <| (H hx).1]
· intro H hx
rcases H (openSegment_subset_segment _ _ _ hx) with (rfl | rfl)
exacts [⟨rfl, (left_mem_openSegment_iff.1 hx).symm⟩, ⟨right_mem_openSegment_iff.1 hx, rfl⟩]
theorem Convex.mem_extremePoints_iff_convex_diff (hA : Convex 𝕜 A) :
x ∈ A.extremePoints 𝕜 ↔ x ∈ A ∧ Convex 𝕜 (A \ {x}) := by
use fun hx ↦ ⟨hx.1, (isExtreme_singleton.2 hx).convex_diff hA⟩
rintro ⟨hxA, hAx⟩
refine mem_extremePoints_iff_forall_segment.2 ⟨hxA, fun x₁ hx₁ x₂ hx₂ hx ↦ ?_⟩
rw [convex_iff_segment_subset] at hAx
by_contra! h
exact (hAx ⟨hx₁, fun hx₁ ↦ h.1 (mem_singleton_iff.2 hx₁)⟩
⟨hx₂, fun hx₂ ↦ h.2 (mem_singleton_iff.2 hx₂)⟩ hx).2 rfl
theorem Convex.mem_extremePoints_iff_mem_diff_convexHull_diff (hA : Convex 𝕜 A) :
| x ∈ A.extremePoints 𝕜 ↔ x ∈ A \ convexHull 𝕜 (A \ {x}) := by
rw [hA.mem_extremePoints_iff_convex_diff, hA.convex_remove_iff_not_mem_convexHull_remove,
mem_diff]
theorem extremePoints_convexHull_subset : (convexHull 𝕜 A).extremePoints 𝕜 ⊆ A := by
rintro x hx
rw [(convex_convexHull 𝕜 _).mem_extremePoints_iff_convex_diff] at hx
by_contra h
exact (convexHull_min (subset_diff.2 ⟨subset_convexHull 𝕜 _, disjoint_singleton_right.2 h⟩) hx.2
| Mathlib/Analysis/Convex/Extreme.lean | 270 | 278 |
/-
Copyright (c) 2019 Johannes Hölzl. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Johannes Hölzl, Patrick Massot, Casper Putz, Anne Baanen
-/
import Mathlib.Data.Matrix.Basis
import Mathlib.Data.Matrix.Block
import Mathlib.Data.Matrix.RowCol
import Mathlib.Data.Matrix.Notation
/-!
# Trace of a matrix
This file defines the trace of a matrix, the map sending a matrix to the sum of its diagonal
entries.
See also `LinearAlgebra.Trace` for the trace of an endomorphism.
## Tags
matrix, trace, diagonal
-/
open Matrix
namespace Matrix
variable {ι m n p : Type*} {α R S : Type*}
variable [Fintype m] [Fintype n] [Fintype p]
section AddCommMonoid
variable [AddCommMonoid R]
/-- The trace of a square matrix. For more bundled versions, see:
* `Matrix.traceAddMonoidHom`
* `Matrix.traceLinearMap`
-/
def trace (A : Matrix n n R) : R :=
∑ i, diag A i
lemma trace_diagonal {o} [Fintype o] [DecidableEq o] (d : o → R) :
trace (diagonal d) = ∑ i, d i := by
simp only [trace, diag_apply, diagonal_apply_eq]
variable (n R)
@[simp]
theorem trace_zero : trace (0 : Matrix n n R) = 0 :=
(Finset.sum_const (0 : R)).trans <| smul_zero _
variable {n R}
@[simp]
lemma trace_eq_zero_of_isEmpty [IsEmpty n] (A : Matrix n n R) : trace A = 0 := by simp [trace]
@[simp]
theorem trace_add (A B : Matrix n n R) : trace (A + B) = trace A + trace B :=
Finset.sum_add_distrib
@[simp]
theorem trace_smul [DistribSMul α R] (r : α) (A : Matrix n n R) :
trace (r • A) = r • trace A :=
Finset.smul_sum.symm
@[simp]
theorem trace_transpose (A : Matrix n n R) : trace Aᵀ = trace A :=
rfl
@[simp]
theorem trace_conjTranspose [StarAddMonoid R] (A : Matrix n n R) : trace Aᴴ = star (trace A) :=
(star_sum _ _).symm
variable (n α R)
/-- `Matrix.trace` as an `AddMonoidHom` -/
@[simps]
def traceAddMonoidHom : Matrix n n R →+ R where
toFun := trace
map_zero' := trace_zero n R
map_add' := trace_add
/-- `Matrix.trace` as a `LinearMap` -/
@[simps]
def traceLinearMap [Semiring α] [Module α R] : Matrix n n R →ₗ[α] R where
toFun := trace
map_add' := trace_add
map_smul' := trace_smul
variable {n α R}
@[simp]
theorem trace_list_sum (l : List (Matrix n n R)) : trace l.sum = (l.map trace).sum :=
map_list_sum (traceAddMonoidHom n R) l
@[simp]
theorem trace_multiset_sum (s : Multiset (Matrix n n R)) : trace s.sum = (s.map trace).sum :=
map_multiset_sum (traceAddMonoidHom n R) s
@[simp]
theorem trace_sum (s : Finset ι) (f : ι → Matrix n n R) :
trace (∑ i ∈ s, f i) = ∑ i ∈ s, trace (f i) :=
map_sum (traceAddMonoidHom n R) f s
theorem _root_.AddMonoidHom.map_trace [AddCommMonoid S] {F : Type*} [FunLike F R S]
[AddMonoidHomClass F R S] (f : F) (A : Matrix n n R) :
f (trace A) = trace ((f : R →+ S).mapMatrix A) :=
map_sum f (fun i => diag A i) Finset.univ
lemma trace_blockDiagonal [DecidableEq p] (M : p → Matrix n n R) :
trace (blockDiagonal M) = ∑ i, trace (M i) := by
simp [blockDiagonal, trace, Finset.sum_comm (γ := n), Fintype.sum_prod_type]
lemma trace_blockDiagonal' [DecidableEq p] {m : p → Type*} [∀ i, Fintype (m i)]
(M : ∀ i, Matrix (m i) (m i) R) :
trace (blockDiagonal' M) = ∑ i, trace (M i) := by
simp [blockDiagonal', trace, Finset.sum_sigma']
end AddCommMonoid
section AddCommGroup
variable [AddCommGroup R]
@[simp]
theorem trace_sub (A B : Matrix n n R) : trace (A - B) = trace A - trace B :=
Finset.sum_sub_distrib
@[simp]
theorem trace_neg (A : Matrix n n R) : trace (-A) = -trace A :=
Finset.sum_neg_distrib
end AddCommGroup
section One
variable [DecidableEq n] [AddCommMonoidWithOne R]
@[simp]
theorem trace_one : trace (1 : Matrix n n R) = Fintype.card n := by
simp_rw [trace, diag_one, Pi.one_def, Finset.sum_const, nsmul_one, Finset.card_univ]
end One
section Mul
@[simp]
theorem trace_transpose_mul [AddCommMonoid R] [Mul R] (A : Matrix m n R) (B : Matrix n m R) :
trace (Aᵀ * Bᵀ) = trace (A * B) :=
Finset.sum_comm
theorem trace_mul_comm [AddCommMonoid R] [CommMagma R] (A : Matrix m n R) (B : Matrix n m R) :
trace (A * B) = trace (B * A) := by rw [← trace_transpose, ← trace_transpose_mul, transpose_mul]
theorem trace_mul_cycle [NonUnitalCommSemiring R] (A : Matrix m n R) (B : Matrix n p R)
(C : Matrix p m R) : trace (A * B * C) = trace (C * A * B) := by
rw [trace_mul_comm, Matrix.mul_assoc]
theorem trace_mul_cycle' [NonUnitalCommSemiring R] (A : Matrix m n R) (B : Matrix n p R)
(C : Matrix p m R) : trace (A * (B * C)) = trace (C * (A * B)) := by
rw [← Matrix.mul_assoc, trace_mul_comm]
@[simp]
theorem trace_replicateCol_mul_replicateRow {ι : Type*} [Unique ι] [NonUnitalNonAssocSemiring R]
(a b : n → R) : trace (replicateCol ι a * replicateRow ι b) = dotProduct a b := by
| apply Finset.sum_congr rfl
simp [mul_apply]
| Mathlib/LinearAlgebra/Matrix/Trace.lean | 168 | 169 |
/-
Copyright (c) 2021 Oliver Nash. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Oliver Nash
-/
import Mathlib.Algebra.Lie.Ideal
/-!
# Ideal operations for Lie algebras
Given a Lie module `M` over a Lie algebra `L`, there is a natural action of the Lie ideals of `L`
on the Lie submodules of `M`. In the special case that `M = L` with the adjoint action, this
provides a pairing of Lie ideals which is especially important. For example, it can be used to
define solvability / nilpotency of a Lie algebra via the derived / lower-central series.
## Main definitions
* `LieSubmodule.hasBracket`
* `LieSubmodule.lieIdeal_oper_eq_linear_span`
* `LieIdeal.map_bracket_le`
* `LieIdeal.comap_bracket_le`
## Notation
Given a Lie module `M` over a Lie algebra `L`, together with a Lie submodule `N ⊆ M` and a Lie
ideal `I ⊆ L`, we introduce the notation `⁅I, N⁆` for the Lie submodule of `M` corresponding to
the action defined in this file.
## Tags
lie algebra, ideal operation
-/
universe u v w w₁ w₂
namespace LieSubmodule
variable {R : Type u} {L : Type v} {M : Type w} {M₂ : Type w₁}
variable [CommRing R] [LieRing L]
variable [AddCommGroup M] [Module R M] [LieRingModule L M]
variable [AddCommGroup M₂] [Module R M₂] [LieRingModule L M₂]
variable (N N' : LieSubmodule R L M) (N₂ : LieSubmodule R L M₂)
variable (f : M →ₗ⁅R,L⁆ M₂)
section LieIdealOperations
theorem map_comap_le : map f (comap f N₂) ≤ N₂ :=
(N₂ : Set M₂).image_preimage_subset f
theorem map_comap_eq (hf : N₂ ≤ f.range) : map f (comap f N₂) = N₂ := by
rw [SetLike.ext'_iff]
exact Set.image_preimage_eq_of_subset hf
theorem le_comap_map : N ≤ comap f (map f N) :=
(N : Set M).subset_preimage_image f
theorem comap_map_eq (hf : f.ker = ⊥) : comap f (map f N) = N := by
rw [SetLike.ext'_iff]
exact (N : Set M).preimage_image_eq (f.ker_eq_bot.mp hf)
@[simp]
theorem map_comap_incl : map N.incl (comap N.incl N') = N ⊓ N' := by
rw [← toSubmodule_inj]
exact (N : Submodule R M).map_comap_subtype N'
variable [LieAlgebra R L] [LieModule R L M₂] (I J : LieIdeal R L)
/-- Given a Lie module `M` over a Lie algebra `L`, the set of Lie ideals of `L` acts on the set
of submodules of `M`. -/
instance hasBracket : Bracket (LieIdeal R L) (LieSubmodule R L M) :=
⟨fun I N => lieSpan R L { ⁅(x : L), (n : M)⁆ | (x : I) (n : N) }⟩
theorem lieIdeal_oper_eq_span :
⁅I, N⁆ = lieSpan R L { ⁅(x : L), (n : M)⁆ | (x : I) (n : N) } :=
rfl
/-- See also `LieSubmodule.lieIdeal_oper_eq_linear_span'` and
`LieSubmodule.lieIdeal_oper_eq_tensor_map_range`. -/
theorem lieIdeal_oper_eq_linear_span [LieModule R L M] :
(↑⁅I, N⁆ : Submodule R M) = Submodule.span R { ⁅(x : L), (n : M)⁆ | (x : I) (n : N) } := by
apply le_antisymm
· let s := { ⁅(x : L), (n : M)⁆ | (x : I) (n : N) }
have aux : ∀ (y : L), ∀ m' ∈ Submodule.span R s, ⁅y, m'⁆ ∈ Submodule.span R s := by
intro y m' hm'
refine Submodule.span_induction (R := R) (M := M) (s := s)
(p := fun m' _ ↦ ⁅y, m'⁆ ∈ Submodule.span R s) ?_ ?_ ?_ ?_ hm'
· rintro m'' ⟨x, n, hm''⟩; rw [← hm'', leibniz_lie]
refine Submodule.add_mem _ ?_ ?_ <;> apply Submodule.subset_span
· use ⟨⁅y, ↑x⁆, I.lie_mem x.property⟩, n
· use x, ⟨⁅y, ↑n⁆, N.lie_mem n.property⟩
· simp only [lie_zero, Submodule.zero_mem]
· intro m₁ m₂ _ _ hm₁ hm₂; rw [lie_add]; exact Submodule.add_mem _ hm₁ hm₂
· intro t m'' _ hm''; rw [lie_smul]; exact Submodule.smul_mem _ t hm''
change _ ≤ ({ Submodule.span R s with lie_mem := fun hm' => aux _ _ hm' } : LieSubmodule R L M)
rw [lieIdeal_oper_eq_span, lieSpan_le]
exact Submodule.subset_span
· rw [lieIdeal_oper_eq_span]; apply submodule_span_le_lieSpan
theorem lieIdeal_oper_eq_linear_span' [LieModule R L M] :
(↑⁅I, N⁆ : Submodule R M) = Submodule.span R { ⁅x, n⁆ | (x ∈ I) (n ∈ N) } := by
rw [lieIdeal_oper_eq_linear_span]
congr
ext m
constructor
· rintro ⟨⟨x, hx⟩, ⟨n, hn⟩, rfl⟩
exact ⟨x, hx, n, hn, rfl⟩
· rintro ⟨x, hx, n, hn, rfl⟩
exact ⟨⟨x, hx⟩, ⟨n, hn⟩, rfl⟩
theorem lie_le_iff : ⁅I, N⁆ ≤ N' ↔ ∀ x ∈ I, ∀ m ∈ N, ⁅x, m⁆ ∈ N' := by
rw [lieIdeal_oper_eq_span, LieSubmodule.lieSpan_le]
refine ⟨fun h x hx m hm => h ⟨⟨x, hx⟩, ⟨m, hm⟩, rfl⟩, ?_⟩
rintro h _ ⟨⟨x, hx⟩, ⟨m, hm⟩, rfl⟩
exact h x hx m hm
variable {N I} in
theorem lie_coe_mem_lie (x : I) (m : N) : ⁅(x : L), (m : M)⁆ ∈ ⁅I, N⁆ := by
rw [lieIdeal_oper_eq_span]; apply subset_lieSpan; use x, m
variable {N I} in
theorem lie_mem_lie {x : L} {m : M} (hx : x ∈ I) (hm : m ∈ N) : ⁅x, m⁆ ∈ ⁅I, N⁆ :=
lie_coe_mem_lie ⟨x, hx⟩ ⟨m, hm⟩
theorem lie_comm : ⁅I, J⁆ = ⁅J, I⁆ := by
suffices ∀ I J : LieIdeal R L, ⁅I, J⁆ ≤ ⁅J, I⁆ by exact le_antisymm (this I J) (this J I)
clear! I J; intro I J
rw [lieIdeal_oper_eq_span, lieSpan_le]; rintro x ⟨y, z, h⟩; rw [← h]
rw [← lie_skew, ← lie_neg, ← LieSubmodule.coe_neg]
apply lie_coe_mem_lie
theorem lie_le_right : ⁅I, N⁆ ≤ N := by
rw [lieIdeal_oper_eq_span, lieSpan_le]; rintro m ⟨x, n, hn⟩; rw [← hn]
exact N.lie_mem n.property
theorem lie_le_left : ⁅I, J⁆ ≤ I := by rw [lie_comm]; exact lie_le_right I J
theorem lie_le_inf : ⁅I, J⁆ ≤ I ⊓ J := by rw [le_inf_iff]; exact ⟨lie_le_left I J, lie_le_right J I⟩
@[simp]
theorem lie_bot : ⁅I, (⊥ : LieSubmodule R L M)⁆ = ⊥ := by rw [eq_bot_iff]; apply lie_le_right
@[simp]
theorem bot_lie : ⁅(⊥ : LieIdeal R L), N⁆ = ⊥ := by
suffices ⁅(⊥ : LieIdeal R L), N⁆ ≤ ⊥ by exact le_bot_iff.mp this
rw [lieIdeal_oper_eq_span, lieSpan_le]; rintro m ⟨⟨x, hx⟩, n, hn⟩; rw [← hn]
change x ∈ (⊥ : LieIdeal R L) at hx; rw [mem_bot] at hx; simp [hx]
theorem lie_eq_bot_iff : ⁅I, N⁆ = ⊥ ↔ ∀ x ∈ I, ∀ m ∈ N, ⁅(x : L), m⁆ = 0 := by
rw [lieIdeal_oper_eq_span, LieSubmodule.lieSpan_eq_bot_iff]
refine ⟨fun h x hx m hm => h ⁅x, m⁆ ⟨⟨x, hx⟩, ⟨m, hm⟩, rfl⟩, ?_⟩
rintro h - ⟨⟨x, hx⟩, ⟨⟨n, hn⟩, rfl⟩⟩
exact h x hx n hn
variable {I J N N'} in
theorem mono_lie (h₁ : I ≤ J) (h₂ : N ≤ N') : ⁅I, N⁆ ≤ ⁅J, N'⁆ := by
intro m h
rw [lieIdeal_oper_eq_span, mem_lieSpan] at h; rw [lieIdeal_oper_eq_span, mem_lieSpan]
intro N hN; apply h; rintro m' ⟨⟨x, hx⟩, ⟨n, hn⟩, hm⟩; rw [← hm]; apply hN
use ⟨x, h₁ hx⟩, ⟨n, h₂ hn⟩
variable {I J} in
theorem mono_lie_left (h : I ≤ J) : ⁅I, N⁆ ≤ ⁅J, N⁆ :=
mono_lie h (le_refl N)
variable {N N'} in
theorem mono_lie_right (h : N ≤ N') : ⁅I, N⁆ ≤ ⁅I, N'⁆ :=
mono_lie (le_refl I) h
@[simp]
theorem lie_sup : ⁅I, N ⊔ N'⁆ = ⁅I, N⁆ ⊔ ⁅I, N'⁆ := by
have h : ⁅I, N⁆ ⊔ ⁅I, N'⁆ ≤ ⁅I, N ⊔ N'⁆ := by
rw [sup_le_iff]; constructor <;>
apply mono_lie_right <;> [exact le_sup_left; exact le_sup_right]
suffices ⁅I, N ⊔ N'⁆ ≤ ⁅I, N⁆ ⊔ ⁅I, N'⁆ by exact le_antisymm this h
rw [lieIdeal_oper_eq_span, lieSpan_le]
rintro m ⟨x, ⟨n, hn⟩, h⟩
simp only [SetLike.mem_coe]
rw [LieSubmodule.mem_sup] at hn ⊢
rcases hn with ⟨n₁, hn₁, n₂, hn₂, hn'⟩
use ⁅(x : L), (⟨n₁, hn₁⟩ : N)⁆; constructor; · apply lie_coe_mem_lie
use ⁅(x : L), (⟨n₂, hn₂⟩ : N')⁆; constructor; · apply lie_coe_mem_lie
simp [← h, ← hn']
@[simp]
theorem sup_lie : ⁅I ⊔ J, N⁆ = ⁅I, N⁆ ⊔ ⁅J, N⁆ := by
have h : ⁅I, N⁆ ⊔ ⁅J, N⁆ ≤ ⁅I ⊔ J, N⁆ := by
rw [sup_le_iff]; constructor <;>
apply mono_lie_left <;> [exact le_sup_left; exact le_sup_right]
suffices ⁅I ⊔ J, N⁆ ≤ ⁅I, N⁆ ⊔ ⁅J, N⁆ by exact le_antisymm this h
rw [lieIdeal_oper_eq_span, lieSpan_le]
rintro m ⟨⟨x, hx⟩, n, h⟩
simp only [SetLike.mem_coe]
rw [LieSubmodule.mem_sup] at hx ⊢
rcases hx with ⟨x₁, hx₁, x₂, hx₂, hx'⟩
use ⁅((⟨x₁, hx₁⟩ : I) : L), (n : N)⁆; constructor; · apply lie_coe_mem_lie
use ⁅((⟨x₂, hx₂⟩ : J) : L), (n : N)⁆; constructor; · apply lie_coe_mem_lie
simp [← h, ← hx']
theorem lie_inf : ⁅I, N ⊓ N'⁆ ≤ ⁅I, N⁆ ⊓ ⁅I, N'⁆ := by
rw [le_inf_iff]; constructor <;>
apply mono_lie_right <;> [exact inf_le_left; exact inf_le_right]
theorem inf_lie : ⁅I ⊓ J, N⁆ ≤ ⁅I, N⁆ ⊓ ⁅J, N⁆ := by
rw [le_inf_iff]; constructor <;>
apply mono_lie_left <;> [exact inf_le_left; exact inf_le_right]
theorem map_bracket_eq [LieModule R L M] : map f ⁅I, N⁆ = ⁅I, map f N⁆ := by
rw [← toSubmodule_inj, toSubmodule_map, lieIdeal_oper_eq_linear_span,
lieIdeal_oper_eq_linear_span, Submodule.map_span]
congr
ext m
constructor
· rintro ⟨-, ⟨⟨x, ⟨n, hn⟩, rfl⟩, hm⟩⟩
simp only [LieModuleHom.coe_toLinearMap, LieModuleHom.map_lie] at hm
exact ⟨x, ⟨f n, (mem_map (f n)).mpr ⟨n, hn, rfl⟩⟩, hm⟩
· rintro ⟨x, ⟨m₂, hm₂ : m₂ ∈ map f N⟩, rfl⟩
obtain ⟨n, hn, rfl⟩ := (mem_map m₂).mp hm₂
exact ⟨⁅x, n⁆, ⟨x, ⟨n, hn⟩, rfl⟩, by simp⟩
theorem comap_bracket_eq [LieModule R L M] (hf₁ : f.ker = ⊥) (hf₂ : N₂ ≤ f.range) :
comap f ⁅I, N₂⁆ = ⁅I, comap f N₂⁆ := by
conv_lhs => rw [← map_comap_eq N₂ f hf₂]
rw [← map_bracket_eq, comap_map_eq _ f hf₁]
end LieIdealOperations
end LieSubmodule
namespace LieIdeal
open LieAlgebra
variable {R : Type u} {L : Type v} {L' : Type w₂}
variable [CommRing R] [LieRing L] [LieAlgebra R L] [LieRing L'] [LieAlgebra R L']
variable (f : L →ₗ⁅R⁆ L') (I : LieIdeal R L) (J : LieIdeal R L')
/-- Note that the inequality can be strict; e.g., the inclusion of an Abelian subalgebra of a
simple algebra. -/
theorem map_bracket_le {I₁ I₂ : LieIdeal R L} : map f ⁅I₁, I₂⁆ ≤ ⁅map f I₁, map f I₂⁆ := by
rw [map_le_iff_le_comap, LieSubmodule.lieIdeal_oper_eq_span, LieSubmodule.lieSpan_le]
intro x hx
obtain ⟨⟨y₁, hy₁⟩, ⟨y₂, hy₂⟩, hx⟩ := hx
rw [← hx]
let fy₁ : ↥(map f I₁) := ⟨f y₁, mem_map hy₁⟩
let fy₂ : ↥(map f I₂) := ⟨f y₂, mem_map hy₂⟩
change _ ∈ comap f ⁅map f I₁, map f I₂⁆
simp only [Submodule.coe_mk, mem_comap, LieHom.map_lie]
exact LieSubmodule.lie_coe_mem_lie fy₁ fy₂
theorem map_bracket_eq {I₁ I₂ : LieIdeal R L} (h : Function.Surjective f) :
map f ⁅I₁, I₂⁆ = ⁅map f I₁, map f I₂⁆ := by
suffices ⁅map f I₁, map f I₂⁆ ≤ map f ⁅I₁, I₂⁆ by exact le_antisymm (map_bracket_le f) this
rw [← LieSubmodule.toSubmodule_le_toSubmodule, coe_map_of_surjective h,
LieSubmodule.lieIdeal_oper_eq_linear_span, LieSubmodule.lieIdeal_oper_eq_linear_span,
LinearMap.map_span]
apply Submodule.span_mono
rintro x ⟨⟨z₁, h₁⟩, ⟨z₂, h₂⟩, rfl⟩
obtain ⟨y₁, rfl⟩ := mem_map_of_surjective h h₁
obtain ⟨y₂, rfl⟩ := mem_map_of_surjective h h₂
exact ⟨⁅(y₁ : L), (y₂ : L)⁆, ⟨y₁, y₂, rfl⟩, by apply f.map_lie⟩
theorem comap_bracket_le {J₁ J₂ : LieIdeal R L'} : ⁅comap f J₁, comap f J₂⁆ ≤ comap f ⁅J₁, J₂⁆ := by
rw [← map_le_iff_le_comap]
exact le_trans (map_bracket_le f) (LieSubmodule.mono_lie map_comap_le map_comap_le)
variable {f}
theorem map_comap_incl {I₁ I₂ : LieIdeal R L} : map I₁.incl (comap I₁.incl I₂) = I₁ ⊓ I₂ := by
conv_rhs => rw [← I₁.incl_idealRange]
rw [← map_comap_eq]
exact I₁.incl_isIdealMorphism
theorem comap_bracket_eq {J₁ J₂ : LieIdeal R L'} (h : f.IsIdealMorphism) :
comap f ⁅f.idealRange ⊓ J₁, f.idealRange ⊓ J₂⁆ = ⁅comap f J₁, comap f J₂⁆ ⊔ f.ker := by
rw [← LieSubmodule.toSubmodule_inj, comap_toSubmodule,
LieSubmodule.sup_toSubmodule, f.ker_toSubmodule, ← Submodule.comap_map_eq,
LieSubmodule.lieIdeal_oper_eq_linear_span, LieSubmodule.lieIdeal_oper_eq_linear_span,
LinearMap.map_span]
congr; simp only [LieHom.coe_toLinearMap, Set.mem_setOf_eq]; ext y
constructor
· rintro ⟨⟨x₁, hx₁⟩, ⟨x₂, hx₂⟩, hy⟩; rw [← hy]
rw [LieSubmodule.mem_inf, f.mem_idealRange_iff h] at hx₁ hx₂
| obtain ⟨⟨z₁, hz₁⟩, hz₁'⟩ := hx₁; rw [← hz₁] at hz₁'
obtain ⟨⟨z₂, hz₂⟩, hz₂'⟩ := hx₂; rw [← hz₂] at hz₂'
refine ⟨⁅z₁, z₂⁆, ⟨⟨z₁, hz₁'⟩, ⟨z₂, hz₂'⟩, rfl⟩, ?_⟩
| Mathlib/Algebra/Lie/IdealOperations.lean | 284 | 286 |
/-
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 Mathlib.Algebra.CharP.Defs
import Mathlib.Algebra.Order.CauSeq.BigOperators
import Mathlib.Algebra.Order.Star.Basic
import Mathlib.Data.Complex.BigOperators
import Mathlib.Data.Complex.Norm
import Mathlib.Data.Nat.Choose.Sum
/-!
# Exponential Function
This file contains the definitions of the real and complex exponential function.
## Main definitions
* `Complex.exp`: The complex exponential function, defined via its Taylor series
* `Real.exp`: The real exponential function, defined as the real part of the complex exponential
-/
open CauSeq Finset IsAbsoluteValue
open scoped ComplexConjugate
namespace Complex
theorem isCauSeq_norm_exp (z : ℂ) :
IsCauSeq abs fun n => ∑ m ∈ range n, ‖z ^ m / m.factorial‖ :=
let ⟨n, hn⟩ := exists_nat_gt ‖z‖
have hn0 : (0 : ℝ) < n := lt_of_le_of_lt (norm_nonneg _) hn
IsCauSeq.series_ratio_test n (‖z‖ / n) (div_nonneg (norm_nonneg _) (le_of_lt hn0))
(by rwa [div_lt_iff₀ hn0, one_mul]) fun m hm => by
rw [abs_norm, abs_norm, Nat.factorial_succ, pow_succ', mul_comm m.succ, Nat.cast_mul,
← div_div, mul_div_assoc, mul_div_right_comm, Complex.norm_mul, Complex.norm_div,
norm_natCast]
gcongr
exact le_trans hm (Nat.le_succ _)
@[deprecated (since := "2025-02-16")] alias isCauSeq_abs_exp := isCauSeq_norm_exp
noncomputable section
theorem isCauSeq_exp (z : ℂ) : IsCauSeq (‖·‖) fun n => ∑ m ∈ range n, z ^ m / m.factorial :=
(isCauSeq_norm_exp z).of_abv
/-- The Cauchy sequence consisting of partial sums of the Taylor series of
the complex exponential function -/
@[pp_nodot]
def exp' (z : ℂ) : CauSeq ℂ (‖·‖) :=
⟨fun n => ∑ m ∈ range n, z ^ m / m.factorial, isCauSeq_exp z⟩
/-- The complex exponential function, defined via its Taylor series -/
@[pp_nodot]
def exp (z : ℂ) : ℂ :=
CauSeq.lim (exp' z)
/-- scoped notation for the complex exponential function -/
scoped notation "cexp" => Complex.exp
end
end Complex
namespace Real
open Complex
noncomputable section
/-- The real exponential function, defined as the real part of the complex exponential -/
@[pp_nodot]
nonrec def exp (x : ℝ) : ℝ :=
(exp x).re
/-- scoped notation for the real exponential function -/
scoped notation "rexp" => Real.exp
end
end Real
namespace Complex
variable (x y : ℂ)
@[simp]
theorem exp_zero : exp 0 = 1 := by
rw [exp]
refine lim_eq_of_equiv_const fun ε ε0 => ⟨1, fun j hj => ?_⟩
convert (config := .unfoldSameFun) ε0 -- ε0 : ε > 0 but goal is _ < ε
rcases j with - | j
· exact absurd hj (not_le_of_gt zero_lt_one)
· dsimp [exp']
induction' j with j ih
· dsimp [exp']; simp [show Nat.succ 0 = 1 from rfl]
· rw [← ih (by simp [Nat.succ_le_succ])]
simp only [sum_range_succ, pow_succ]
simp
theorem exp_add : exp (x + y) = exp x * exp y := by
have hj : ∀ j : ℕ, (∑ m ∈ range j, (x + y) ^ m / m.factorial) =
∑ i ∈ range j, ∑ k ∈ range (i + 1), x ^ k / k.factorial *
(y ^ (i - k) / (i - k).factorial) := by
intro j
refine Finset.sum_congr rfl fun m _ => ?_
rw [add_pow, div_eq_mul_inv, sum_mul]
refine Finset.sum_congr rfl fun I hi => ?_
have h₁ : (m.choose I : ℂ) ≠ 0 :=
Nat.cast_ne_zero.2 (pos_iff_ne_zero.1 (Nat.choose_pos (Nat.le_of_lt_succ (mem_range.1 hi))))
have h₂ := Nat.choose_mul_factorial_mul_factorial (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 (m.choose I : ℂ), mul_assoc, mul_left_comm (m.choose I : ℂ)⁻¹,
mul_comm (m.choose I : ℂ)]
rw [inv_mul_cancel₀ h₁]
simp [div_eq_mul_inv, mul_comm, mul_assoc, mul_left_comm]
simp_rw [exp, exp', lim_mul_lim]
apply (lim_eq_lim_of_equiv _).symm
simp only [hj]
exact cauchy_product (isCauSeq_norm_exp x) (isCauSeq_exp y)
/-- the exponential function as a monoid hom from `Multiplicative ℂ` to `ℂ` -/
@[simps]
noncomputable def expMonoidHom : MonoidHom (Multiplicative ℂ) ℂ :=
{ toFun := fun z => exp z.toAdd,
map_one' := by simp,
map_mul' := by simp [exp_add] }
theorem exp_list_sum (l : List ℂ) : exp l.sum = (l.map exp).prod :=
map_list_prod (M := Multiplicative ℂ) expMonoidHom l
theorem exp_multiset_sum (s : Multiset ℂ) : exp s.sum = (s.map exp).prod :=
@MonoidHom.map_multiset_prod (Multiplicative ℂ) ℂ _ _ expMonoidHom s
theorem exp_sum {α : Type*} (s : Finset α) (f : α → ℂ) :
exp (∑ x ∈ s, f x) = ∏ x ∈ s, exp (f x) :=
map_prod (β := Multiplicative ℂ) expMonoidHom f s
lemma exp_nsmul (x : ℂ) (n : ℕ) : exp (n • x) = exp x ^ n :=
@MonoidHom.map_pow (Multiplicative ℂ) ℂ _ _ expMonoidHom _ _
theorem 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 _ n, one_mul]
@[simp]
theorem exp_ne_zero : exp x ≠ 0 := fun h =>
zero_ne_one (α := ℂ) <| by rw [← exp_zero, ← add_neg_cancel x, exp_add, h]; simp
theorem exp_neg : exp (-x) = (exp x)⁻¹ := by
rw [← mul_right_inj' (exp_ne_zero x), ← exp_add]; simp [mul_inv_cancel₀ (exp_ne_zero x)]
theorem exp_sub : exp (x - y) = exp x / exp y := by
simp [sub_eq_add_neg, exp_add, exp_neg, div_eq_mul_inv]
theorem exp_int_mul (z : ℂ) (n : ℤ) : Complex.exp (n * z) = Complex.exp z ^ n := by
cases n
· simp [exp_nat_mul]
· simp [exp_add, add_mul, pow_add, exp_neg, exp_nat_mul]
@[simp]
theorem exp_conj : exp (conj x) = conj (exp x) := by
dsimp [exp]
rw [← lim_conj]
refine congr_arg CauSeq.lim (CauSeq.ext fun _ => ?_)
dsimp [exp', Function.comp_def, cauSeqConj]
rw [map_sum (starRingEnd _)]
refine sum_congr rfl fun n _ => ?_
rw [map_div₀, map_pow, ← ofReal_natCast, conj_ofReal]
@[simp]
theorem ofReal_exp_ofReal_re (x : ℝ) : ((exp x).re : ℂ) = exp x :=
conj_eq_iff_re.1 <| by rw [← exp_conj, conj_ofReal]
@[simp, norm_cast]
theorem ofReal_exp (x : ℝ) : (Real.exp x : ℂ) = exp x :=
ofReal_exp_ofReal_re _
@[simp]
theorem exp_ofReal_im (x : ℝ) : (exp x).im = 0 := by rw [← ofReal_exp_ofReal_re, ofReal_im]
theorem exp_ofReal_re (x : ℝ) : (exp x).re = Real.exp x :=
rfl
end Complex
namespace Real
open Complex
variable (x y : ℝ)
@[simp]
theorem exp_zero : exp 0 = 1 := by simp [Real.exp]
nonrec theorem exp_add : exp (x + y) = exp x * exp y := by simp [exp_add, exp]
/-- the exponential function as a monoid hom from `Multiplicative ℝ` to `ℝ` -/
@[simps]
noncomputable def expMonoidHom : MonoidHom (Multiplicative ℝ) ℝ :=
{ toFun := fun x => exp x.toAdd,
map_one' := by simp,
map_mul' := by simp [exp_add] }
theorem exp_list_sum (l : List ℝ) : exp l.sum = (l.map exp).prod :=
map_list_prod (M := Multiplicative ℝ) expMonoidHom l
theorem exp_multiset_sum (s : Multiset ℝ) : exp s.sum = (s.map exp).prod :=
@MonoidHom.map_multiset_prod (Multiplicative ℝ) ℝ _ _ expMonoidHom s
theorem exp_sum {α : Type*} (s : Finset α) (f : α → ℝ) :
exp (∑ x ∈ s, f x) = ∏ x ∈ s, exp (f x) :=
map_prod (β := Multiplicative ℝ) expMonoidHom f s
lemma exp_nsmul (x : ℝ) (n : ℕ) : exp (n • x) = exp x ^ n :=
@MonoidHom.map_pow (Multiplicative ℝ) ℝ _ _ expMonoidHom _ _
nonrec theorem exp_nat_mul (x : ℝ) (n : ℕ) : exp (n * x) = exp x ^ n :=
ofReal_injective (by simp [exp_nat_mul])
@[simp]
nonrec theorem exp_ne_zero : exp x ≠ 0 := fun h =>
exp_ne_zero x <| by rw [exp, ← ofReal_inj] at h; simp_all
nonrec theorem exp_neg : exp (-x) = (exp x)⁻¹ :=
ofReal_injective <| by simp [exp_neg]
theorem exp_sub : exp (x - y) = exp x / exp y := by
simp [sub_eq_add_neg, exp_add, exp_neg, div_eq_mul_inv]
open IsAbsoluteValue Nat
theorem sum_le_exp_of_nonneg {x : ℝ} (hx : 0 ≤ x) (n : ℕ) : ∑ i ∈ range n, x ^ i / i ! ≤ exp x :=
calc
∑ i ∈ range n, x ^ i / i ! ≤ lim (⟨_, isCauSeq_re (exp' x)⟩ : CauSeq ℝ abs) := by
refine le_lim (CauSeq.le_of_exists ⟨n, fun j hj => ?_⟩)
simp only [exp', const_apply, re_sum]
norm_cast
refine sum_le_sum_of_subset_of_nonneg (range_mono hj) fun _ _ _ ↦ ?_
positivity
_ = exp x := by rw [exp, Complex.exp, ← cauSeqRe, lim_re]
lemma pow_div_factorial_le_exp (hx : 0 ≤ x) (n : ℕ) : x ^ n / n ! ≤ exp x :=
calc
x ^ n / n ! ≤ ∑ k ∈ range (n + 1), x ^ k / k ! :=
single_le_sum (f := fun k ↦ x ^ k / k !) (fun k _ ↦ by positivity) (self_mem_range_succ n)
_ ≤ exp x := sum_le_exp_of_nonneg hx _
theorem quadratic_le_exp_of_nonneg {x : ℝ} (hx : 0 ≤ x) : 1 + x + x ^ 2 / 2 ≤ exp x :=
calc
1 + x + x ^ 2 / 2 = ∑ i ∈ range 3, x ^ i / i ! := by
simp only [sum_range_succ, range_one, sum_singleton, _root_.pow_zero, factorial, cast_one,
ne_eq, one_ne_zero, not_false_eq_true, div_self, pow_one, mul_one, div_one, Nat.mul_one,
cast_succ, add_right_inj]
ring_nf
_ ≤ exp x := sum_le_exp_of_nonneg hx 3
private theorem add_one_lt_exp_of_pos {x : ℝ} (hx : 0 < x) : x + 1 < exp x :=
(by nlinarith : x + 1 < 1 + x + x ^ 2 / 2).trans_le (quadratic_le_exp_of_nonneg hx.le)
private theorem add_one_le_exp_of_nonneg {x : ℝ} (hx : 0 ≤ x) : x + 1 ≤ exp x := by
rcases eq_or_lt_of_le hx with (rfl | h)
· simp
exact (add_one_lt_exp_of_pos h).le
theorem one_le_exp {x : ℝ} (hx : 0 ≤ x) : 1 ≤ exp x := by linarith [add_one_le_exp_of_nonneg hx]
@[bound]
theorem exp_pos (x : ℝ) : 0 < exp x :=
(le_total 0 x).elim (lt_of_lt_of_le zero_lt_one ∘ one_le_exp) fun 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)))
@[bound]
lemma exp_nonneg (x : ℝ) : 0 ≤ exp x := x.exp_pos.le
@[simp]
theorem abs_exp (x : ℝ) : |exp x| = exp x :=
abs_of_pos (exp_pos _)
lemma exp_abs_le (x : ℝ) : exp |x| ≤ exp x + exp (-x) := by
cases le_total x 0 <;> simp [abs_of_nonpos, abs_of_nonneg, exp_nonneg, *]
@[mono]
theorem exp_strictMono : StrictMono exp := fun 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)))
@[gcongr]
theorem exp_lt_exp_of_lt {x y : ℝ} (h : x < y) : exp x < exp y := exp_strictMono h
@[mono]
theorem exp_monotone : Monotone exp :=
exp_strictMono.monotone
@[gcongr, bound]
theorem exp_le_exp_of_le {x y : ℝ} (h : x ≤ y) : exp x ≤ exp y := exp_monotone h
@[simp]
theorem exp_lt_exp {x y : ℝ} : exp x < exp y ↔ x < y :=
exp_strictMono.lt_iff_lt
@[simp]
theorem exp_le_exp {x y : ℝ} : exp x ≤ exp y ↔ x ≤ y :=
exp_strictMono.le_iff_le
theorem exp_injective : Function.Injective exp :=
exp_strictMono.injective
@[simp]
theorem exp_eq_exp {x y : ℝ} : exp x = exp y ↔ x = y :=
exp_injective.eq_iff
@[simp]
theorem exp_eq_one_iff : exp x = 1 ↔ x = 0 :=
exp_injective.eq_iff' exp_zero
@[simp]
theorem one_lt_exp_iff {x : ℝ} : 1 < exp x ↔ 0 < x := by rw [← exp_zero, exp_lt_exp]
@[bound] private alias ⟨_, Bound.one_lt_exp_of_pos⟩ := one_lt_exp_iff
@[simp]
theorem exp_lt_one_iff {x : ℝ} : exp x < 1 ↔ x < 0 := by rw [← exp_zero, exp_lt_exp]
@[simp]
theorem exp_le_one_iff {x : ℝ} : exp x ≤ 1 ↔ x ≤ 0 :=
exp_zero ▸ exp_le_exp
@[simp]
theorem one_le_exp_iff {x : ℝ} : 1 ≤ exp x ↔ 0 ≤ x :=
exp_zero ▸ exp_le_exp
end Real
namespace Complex
theorem sum_div_factorial_le {α : Type*} [Field α] [LinearOrder α] [IsStrictOrderedRing α]
(n j : ℕ) (hn : 0 < n) :
(∑ m ∈ range j with n ≤ m, (1 / m.factorial : α)) ≤ n.succ / (n.factorial * n) :=
calc
(∑ m ∈ range j with n ≤ m, (1 / m.factorial : α)) =
∑ m ∈ range (j - n), (1 / ((m + n).factorial : α)) := by
refine sum_nbij' (· - n) (· + n) ?_ ?_ ?_ ?_ ?_ <;>
simp +contextual [lt_tsub_iff_right, tsub_add_cancel_of_le]
_ ≤ ∑ m ∈ range (j - n), ((n.factorial : α) * (n.succ : α) ^ m)⁻¹ := by
simp_rw [one_div]
gcongr
rw [← Nat.cast_pow, ← Nat.cast_mul, Nat.cast_le, add_comm]
exact Nat.factorial_mul_pow_le_factorial
_ = (n.factorial : α)⁻¹ * ∑ m ∈ range (j - n), (n.succ : α)⁻¹ ^ m := by
simp [mul_inv, ← mul_sum, ← sum_mul, mul_comm, inv_pow]
_ = ((n.succ : α) - n.succ * (n.succ : α)⁻¹ ^ (j - n)) / (n.factorial * n) := by
have h₁ : (n.succ : α) ≠ 1 :=
@Nat.cast_one α _ ▸ mt Nat.cast_inj.1 (mt Nat.succ.inj (pos_iff_ne_zero.1 hn))
have h₂ : (n.succ : α) ≠ 0 := by positivity
have h₃ : (n.factorial * n : α) ≠ 0 := by positivity
have h₄ : (n.succ - 1 : α) = n := by simp
rw [geom_sum_inv h₁ h₂, eq_div_iff_mul_eq h₃, mul_comm _ (n.factorial * n : α),
← mul_assoc (n.factorial⁻¹ : α), ← mul_inv_rev, h₄, ← mul_assoc (n.factorial * n : α),
mul_comm (n : α) n.factorial, mul_inv_cancel₀ h₃, one_mul, mul_comm]
_ ≤ n.succ / (n.factorial * n : α) := by gcongr; apply sub_le_self; positivity
theorem exp_bound {x : ℂ} (hx : ‖x‖ ≤ 1) {n : ℕ} (hn : 0 < n) :
‖exp x - ∑ m ∈ range n, x ^ m / m.factorial‖ ≤
‖x‖ ^ n * ((n.succ : ℝ) * (n.factorial * n : ℝ)⁻¹) := by
rw [← lim_const (abv := norm) (∑ m ∈ range n, _), exp, sub_eq_add_neg,
← lim_neg, lim_add, ← lim_norm]
refine lim_le (CauSeq.le_of_exists ⟨n, fun j hj => ?_⟩)
simp_rw [← sub_eq_add_neg]
show
‖(∑ m ∈ range j, x ^ m / m.factorial) - ∑ m ∈ range n, x ^ m / m.factorial‖ ≤
‖x‖ ^ n * ((n.succ : ℝ) * (n.factorial * n : ℝ)⁻¹)
rw [sum_range_sub_sum_range hj]
calc
‖∑ m ∈ range j with n ≤ m, (x ^ m / m.factorial : ℂ)‖
= ‖∑ m ∈ range j with n ≤ m, (x ^ n * (x ^ (m - n) / m.factorial) : ℂ)‖ := by
refine congr_arg norm (sum_congr rfl fun m hm => ?_)
rw [mem_filter, mem_range] at hm
rw [← mul_div_assoc, ← pow_add, add_tsub_cancel_of_le hm.2]
_ ≤ ∑ m ∈ range j with n ≤ m, ‖x ^ n * (x ^ (m - n) / m.factorial)‖ :=
IsAbsoluteValue.abv_sum norm ..
_ ≤ ∑ m ∈ range j with n ≤ m, ‖x‖ ^ n * (1 / m.factorial) := by
simp_rw [Complex.norm_mul, Complex.norm_pow, Complex.norm_div, norm_natCast]
gcongr
rw [Complex.norm_pow]
exact pow_le_one₀ (norm_nonneg _) hx
_ = ‖x‖ ^ n * ∑ m ∈ range j with n ≤ m, (1 / m.factorial : ℝ) := by
simp [abs_mul, abv_pow abs, abs_div, ← mul_sum]
_ ≤ ‖x‖ ^ n * (n.succ * (n.factorial * n : ℝ)⁻¹) := by
gcongr
exact sum_div_factorial_le _ _ hn
theorem exp_bound' {x : ℂ} {n : ℕ} (hx : ‖x‖ / n.succ ≤ 1 / 2) :
‖exp x - ∑ m ∈ range n, x ^ m / m.factorial‖ ≤ ‖x‖ ^ n / n.factorial * 2 := by
rw [← lim_const (abv := norm) (∑ m ∈ range n, _),
exp, sub_eq_add_neg, ← lim_neg, lim_add, ← lim_norm]
refine lim_le (CauSeq.le_of_exists ⟨n, fun j hj => ?_⟩)
simp_rw [← sub_eq_add_neg]
show ‖(∑ m ∈ range j, x ^ m / m.factorial) - ∑ m ∈ range n, x ^ m / m.factorial‖ ≤
‖x‖ ^ n / n.factorial * 2
let k := j - n
have hj : j = n + k := (add_tsub_cancel_of_le hj).symm
rw [hj, sum_range_add_sub_sum_range]
calc
‖∑ i ∈ range k, x ^ (n + i) / ((n + i).factorial : ℂ)‖ ≤
∑ i ∈ range k, ‖x ^ (n + i) / ((n + i).factorial : ℂ)‖ :=
IsAbsoluteValue.abv_sum _ _ _
_ ≤ ∑ i ∈ range k, ‖x‖ ^ (n + i) / (n + i).factorial := by
simp [norm_natCast, Complex.norm_pow]
_ ≤ ∑ i ∈ range k, ‖x‖ ^ (n + i) / ((n.factorial : ℝ) * (n.succ : ℝ) ^ i) := ?_
_ = ∑ i ∈ range k, ‖x‖ ^ n / n.factorial * (‖x‖ ^ i / (n.succ : ℝ) ^ i) := ?_
_ ≤ ‖x‖ ^ n / ↑n.factorial * 2 := ?_
· gcongr
exact mod_cast Nat.factorial_mul_pow_le_factorial
· refine Finset.sum_congr rfl fun _ _ => ?_
simp only [pow_add, div_eq_inv_mul, mul_inv, mul_left_comm, mul_assoc]
· rw [← mul_sum]
gcongr
simp_rw [← div_pow]
rw [geom_sum_eq, div_le_iff_of_neg]
· trans (-1 : ℝ)
· linarith
· simp only [neg_le_sub_iff_le_add, div_pow, Nat.cast_succ, le_add_iff_nonneg_left]
positivity
· linarith
· linarith
theorem norm_exp_sub_one_le {x : ℂ} (hx : ‖x‖ ≤ 1) : ‖exp x - 1‖ ≤ 2 * ‖x‖ :=
calc
‖exp x - 1‖ = ‖exp x - ∑ m ∈ range 1, x ^ m / m.factorial‖ := by simp [sum_range_succ]
_ ≤ ‖x‖ ^ 1 * ((Nat.succ 1 : ℝ) * ((Nat.factorial 1) * (1 : ℕ) : ℝ)⁻¹) :=
(exp_bound hx (by decide))
_ = 2 * ‖x‖ := by simp [two_mul, mul_two, mul_add, mul_comm, add_mul, Nat.factorial]
theorem norm_exp_sub_one_sub_id_le {x : ℂ} (hx : ‖x‖ ≤ 1) : ‖exp x - 1 - x‖ ≤ ‖x‖ ^ 2 :=
calc
‖exp x - 1 - x‖ = ‖exp x - ∑ m ∈ range 2, x ^ m / m.factorial‖ := by
simp [sub_eq_add_neg, sum_range_succ_comm, add_assoc, Nat.factorial]
_ ≤ ‖x‖ ^ 2 * ((Nat.succ 2 : ℝ) * (Nat.factorial 2 * (2 : ℕ) : ℝ)⁻¹) :=
(exp_bound hx (by decide))
_ ≤ ‖x‖ ^ 2 * 1 := by gcongr; norm_num [Nat.factorial]
_ = ‖x‖ ^ 2 := by rw [mul_one]
lemma norm_exp_sub_sum_le_exp_norm_sub_sum (x : ℂ) (n : ℕ) :
‖exp x - ∑ m ∈ range n, x ^ m / m.factorial‖
≤ Real.exp ‖x‖ - ∑ m ∈ range n, ‖x‖ ^ m / m.factorial := by
rw [← CauSeq.lim_const (abv := norm) (∑ m ∈ range n, _), Complex.exp, sub_eq_add_neg,
← CauSeq.lim_neg, CauSeq.lim_add, ← lim_norm]
refine CauSeq.lim_le (CauSeq.le_of_exists ⟨n, fun j hj => ?_⟩)
simp_rw [← sub_eq_add_neg]
calc ‖(∑ m ∈ range j, x ^ m / m.factorial) - ∑ m ∈ range n, x ^ m / m.factorial‖
_ ≤ (∑ m ∈ range j, ‖x‖ ^ m / m.factorial) - ∑ m ∈ range n, ‖x‖ ^ m / m.factorial := by
rw [sum_range_sub_sum_range hj, sum_range_sub_sum_range hj]
refine (IsAbsoluteValue.abv_sum norm ..).trans_eq ?_
congr with i
simp [Complex.norm_pow]
_ ≤ Real.exp ‖x‖ - ∑ m ∈ range n, ‖x‖ ^ m / m.factorial := by
gcongr
exact Real.sum_le_exp_of_nonneg (norm_nonneg _) _
lemma norm_exp_le_exp_norm (x : ℂ) : ‖exp x‖ ≤ Real.exp ‖x‖ := by
convert norm_exp_sub_sum_le_exp_norm_sub_sum x 0 using 1 <;> simp
lemma norm_exp_sub_sum_le_norm_mul_exp (x : ℂ) (n : ℕ) :
‖exp x - ∑ m ∈ range n, x ^ m / m.factorial‖ ≤ ‖x‖ ^ n * Real.exp ‖x‖ := by
rw [← CauSeq.lim_const (abv := norm) (∑ m ∈ range n, _), Complex.exp, sub_eq_add_neg,
← CauSeq.lim_neg, CauSeq.lim_add, ← lim_norm]
refine CauSeq.lim_le (CauSeq.le_of_exists ⟨n, fun j hj => ?_⟩)
simp_rw [← sub_eq_add_neg]
show ‖(∑ m ∈ range j, x ^ m / m.factorial) - ∑ m ∈ range n, x ^ m / m.factorial‖ ≤ _
rw [sum_range_sub_sum_range hj]
calc
‖∑ m ∈ range j with n ≤ m, (x ^ m / m.factorial : ℂ)‖
= ‖∑ m ∈ range j with n ≤ m, (x ^ n * (x ^ (m - n) / m.factorial) : ℂ)‖ := by
refine congr_arg norm (sum_congr rfl fun m hm => ?_)
rw [mem_filter, mem_range] at hm
rw [← mul_div_assoc, ← pow_add, add_tsub_cancel_of_le hm.2]
_ ≤ ∑ m ∈ range j with n ≤ m, ‖x ^ n * (x ^ (m - n) / m.factorial)‖ :=
IsAbsoluteValue.abv_sum norm ..
_ ≤ ∑ m ∈ range j with n ≤ m, ‖x‖ ^ n * (‖x‖ ^ (m - n) / (m - n).factorial) := by
simp_rw [Complex.norm_mul, Complex.norm_pow, Complex.norm_div, norm_natCast]
gcongr with i hi
· rw [Complex.norm_pow]
· simp
_ = ‖x‖ ^ n * ∑ m ∈ range j with n ≤ m, (‖x‖ ^ (m - n) / (m - n).factorial) := by
rw [← mul_sum]
_ = ‖x‖ ^ n * ∑ m ∈ range (j - n), (‖x‖ ^ m / m.factorial) := by
congr 1
refine (sum_bij (fun m hm ↦ m + n) ?_ ?_ ?_ ?_).symm
· intro a ha
simp only [mem_filter, mem_range, le_add_iff_nonneg_left, zero_le, and_true]
simp only [mem_range] at ha
rwa [← lt_tsub_iff_right]
· intro a ha b hb hab
simpa using hab
· intro b hb
simp only [mem_range, exists_prop]
simp only [mem_filter, mem_range] at hb
refine ⟨b - n, ?_, ?_⟩
· rw [tsub_lt_tsub_iff_right hb.2]
exact hb.1
· rw [tsub_add_cancel_of_le hb.2]
· simp
_ ≤ ‖x‖ ^ n * Real.exp ‖x‖ := by
gcongr
refine Real.sum_le_exp_of_nonneg ?_ _
exact norm_nonneg _
@[deprecated (since := "2025-02-16")] alias abs_exp_sub_one_le := norm_exp_sub_one_le
@[deprecated (since := "2025-02-16")] alias abs_exp_sub_one_sub_id_le := norm_exp_sub_one_sub_id_le
@[deprecated (since := "2025-02-16")] alias abs_exp_sub_sum_le_exp_abs_sub_sum :=
norm_exp_sub_sum_le_exp_norm_sub_sum
@[deprecated (since := "2025-02-16")] alias abs_exp_le_exp_abs := norm_exp_le_exp_norm
@[deprecated (since := "2025-02-16")] alias abs_exp_sub_sum_le_abs_mul_exp :=
norm_exp_sub_sum_le_norm_mul_exp
end Complex
namespace Real
open Complex Finset
nonrec theorem exp_bound {x : ℝ} (hx : |x| ≤ 1) {n : ℕ} (hn : 0 < n) :
|exp x - ∑ m ∈ range n, x ^ m / m.factorial| ≤ |x| ^ n * (n.succ / (n.factorial * n)) := by
have hxc : ‖(x : ℂ)‖ ≤ 1 := mod_cast hx
convert exp_bound hxc hn using 2 <;>
norm_cast
theorem exp_bound' {x : ℝ} (h1 : 0 ≤ x) (h2 : x ≤ 1) {n : ℕ} (hn : 0 < n) :
Real.exp x ≤ (∑ m ∈ Finset.range n, x ^ m / m.factorial) +
x ^ n * (n + 1) / (n.factorial * n) := by
have h3 : |x| = x := by simpa
have h4 : |x| ≤ 1 := by rwa [h3]
have h' := Real.exp_bound h4 hn
rw [h3] at h'
have h'' := (abs_sub_le_iff.1 h').1
have t := sub_le_iff_le_add'.1 h''
simpa [mul_div_assoc] using t
theorem abs_exp_sub_one_le {x : ℝ} (hx : |x| ≤ 1) : |exp x - 1| ≤ 2 * |x| := by
have : ‖(x : ℂ)‖ ≤ 1 := mod_cast hx
exact_mod_cast Complex.norm_exp_sub_one_le (x := x) this
theorem abs_exp_sub_one_sub_id_le {x : ℝ} (hx : |x| ≤ 1) : |exp x - 1 - x| ≤ x ^ 2 := by
rw [← sq_abs]
have : ‖(x : ℂ)‖ ≤ 1 := mod_cast hx
exact_mod_cast Complex.norm_exp_sub_one_sub_id_le this
/-- A finite initial segment of the exponential series, followed by an arbitrary tail.
For fixed `n` this is just a linear map wrt `r`, and each map is a simple linear function
of the previous (see `expNear_succ`), with `expNear n x r ⟶ exp x` as `n ⟶ ∞`,
for any `r`. -/
| noncomputable def expNear (n : ℕ) (x r : ℝ) : ℝ :=
(∑ m ∈ range n, x ^ m / m.factorial) + x ^ n / n.factorial * r
| Mathlib/Data/Complex/Exponential.lean | 558 | 559 |
/-
Copyright (c) 2017 Johannes Hölzl. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Johannes Hölzl, Johan Commelin, Mario Carneiro
-/
import Mathlib.Algebra.BigOperators.Finsupp.Fin
import Mathlib.Algebra.MvPolynomial.Degrees
import Mathlib.Algebra.MvPolynomial.Rename
import Mathlib.Algebra.Polynomial.AlgebraMap
import Mathlib.Algebra.Polynomial.Degree.Lemmas
import Mathlib.Logic.Equiv.Fin.Basic
/-!
# Equivalences between polynomial rings
This file establishes a number of equivalences between polynomial rings,
based on equivalences between the underlying types.
## Notation
As in other polynomial files, we typically use the notation:
+ `σ : Type*` (indexing the variables)
+ `R : Type*` `[CommSemiring 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 `MvPolynomial σ R` which mathematicians might call `X^s`
+ `a : R`
+ `i : σ`, with corresponding monomial `X i`, often denoted `X_i` by mathematicians
+ `p : MvPolynomial σ R`
## Tags
equivalence, isomorphism, morphism, ring hom, hom
-/
noncomputable section
open Polynomial Set Function Finsupp AddMonoidAlgebra
universe u v w x
variable {R : Type u} {S₁ : Type v} {S₂ : Type w} {S₃ : Type x}
namespace MvPolynomial
variable {σ : Type*} {a a' a₁ a₂ : R} {e : ℕ} {s : σ →₀ ℕ}
section Equiv
variable (R) [CommSemiring R]
/-- The ring isomorphism between multivariable polynomials in a single variable and
polynomials over the ground ring.
-/
@[simps]
def pUnitAlgEquiv : MvPolynomial PUnit R ≃ₐ[R] R[X] where
toFun := eval₂ Polynomial.C fun _ => Polynomial.X
invFun := Polynomial.eval₂ MvPolynomial.C (X PUnit.unit)
left_inv := by
let f : R[X] →+* MvPolynomial PUnit R := Polynomial.eval₂RingHom MvPolynomial.C (X PUnit.unit)
let g : MvPolynomial PUnit R →+* R[X] := eval₂Hom Polynomial.C fun _ => Polynomial.X
show ∀ p, f.comp g p = p
apply is_id
· ext a
dsimp [f, g]
rw [eval₂_C, Polynomial.eval₂_C]
· rintro ⟨⟩
dsimp [f, g]
rw [eval₂_X, Polynomial.eval₂_X]
right_inv p :=
Polynomial.induction_on p (fun a => by rw [Polynomial.eval₂_C, MvPolynomial.eval₂_C])
(fun p q hp hq => by rw [Polynomial.eval₂_add, MvPolynomial.eval₂_add, hp, hq]) fun p n _ => by
rw [Polynomial.eval₂_mul, Polynomial.eval₂_pow, Polynomial.eval₂_X, Polynomial.eval₂_C,
eval₂_mul, eval₂_C, eval₂_pow, eval₂_X]
map_mul' _ _ := eval₂_mul _ _
map_add' _ _ := eval₂_add _ _
commutes' _ := eval₂_C _ _ _
theorem pUnitAlgEquiv_monomial {d : PUnit →₀ ℕ} {r : R} :
MvPolynomial.pUnitAlgEquiv R (MvPolynomial.monomial d r)
= Polynomial.monomial (d ()) r := by
simp [Polynomial.C_mul_X_pow_eq_monomial]
theorem pUnitAlgEquiv_symm_monomial {d : PUnit →₀ ℕ} {r : R} :
(MvPolynomial.pUnitAlgEquiv R).symm (Polynomial.monomial (d ()) r)
= MvPolynomial.monomial d r := by
simp [MvPolynomial.monomial_eq]
section Map
variable {R} (σ)
/-- If `e : A ≃+* B` is an isomorphism of rings, then so is `map e`. -/
@[simps apply]
def mapEquiv [CommSemiring S₁] [CommSemiring S₂] (e : S₁ ≃+* S₂) :
MvPolynomial σ S₁ ≃+* MvPolynomial σ S₂ :=
{ map (e : S₁ →+* S₂) with
toFun := map (e : S₁ →+* S₂)
invFun := map (e.symm : S₂ →+* S₁)
left_inv := map_leftInverse e.left_inv
right_inv := map_rightInverse e.right_inv }
@[simp]
theorem mapEquiv_refl : mapEquiv σ (RingEquiv.refl R) = RingEquiv.refl _ :=
RingEquiv.ext map_id
@[simp]
theorem mapEquiv_symm [CommSemiring S₁] [CommSemiring S₂] (e : S₁ ≃+* S₂) :
(mapEquiv σ e).symm = mapEquiv σ e.symm :=
rfl
@[simp]
theorem mapEquiv_trans [CommSemiring S₁] [CommSemiring S₂] [CommSemiring S₃] (e : S₁ ≃+* S₂)
(f : S₂ ≃+* S₃) : (mapEquiv σ e).trans (mapEquiv σ f) = mapEquiv σ (e.trans f) :=
RingEquiv.ext fun p => by
simp only [RingEquiv.coe_trans, comp_apply, mapEquiv_apply, RingEquiv.coe_ringHom_trans,
map_map]
variable {A₁ A₂ A₃ : Type*} [CommSemiring A₁] [CommSemiring A₂] [CommSemiring A₃]
variable [Algebra R A₁] [Algebra R A₂] [Algebra R A₃]
/-- If `e : A ≃ₐ[R] B` is an isomorphism of `R`-algebras, then so is `map e`. -/
@[simps apply]
def mapAlgEquiv (e : A₁ ≃ₐ[R] A₂) : MvPolynomial σ A₁ ≃ₐ[R] MvPolynomial σ A₂ :=
{ mapAlgHom (e : A₁ →ₐ[R] A₂), mapEquiv σ (e : A₁ ≃+* A₂) with toFun := map (e : A₁ →+* A₂) }
@[simp]
theorem mapAlgEquiv_refl : mapAlgEquiv σ (AlgEquiv.refl : A₁ ≃ₐ[R] A₁) = AlgEquiv.refl :=
AlgEquiv.ext map_id
@[simp]
theorem mapAlgEquiv_symm (e : A₁ ≃ₐ[R] A₂) : (mapAlgEquiv σ e).symm = mapAlgEquiv σ e.symm :=
rfl
@[simp]
theorem mapAlgEquiv_trans (e : A₁ ≃ₐ[R] A₂) (f : A₂ ≃ₐ[R] A₃) :
(mapAlgEquiv σ e).trans (mapAlgEquiv σ f) = mapAlgEquiv σ (e.trans f) := by
ext
simp only [AlgEquiv.trans_apply, mapAlgEquiv_apply, map_map]
rfl
end Map
section Eval
variable {R S : Type*} [CommSemiring R] [CommSemiring S]
theorem eval₂_pUnitAlgEquiv_symm {f : Polynomial R} {φ : R →+* S} {a : Unit → S} :
((MvPolynomial.pUnitAlgEquiv R).symm f : MvPolynomial Unit R).eval₂ φ a =
f.eval₂ φ (a ()) := by
simp only [MvPolynomial.pUnitAlgEquiv_symm_apply]
induction f using Polynomial.induction_on' with
| add f g hf hg => simp [hf, hg]
| monomial n r => simp
theorem eval₂_const_pUnitAlgEquiv_symm {f : Polynomial R} {φ : R →+* S} {a : S} :
((MvPolynomial.pUnitAlgEquiv R).symm f : MvPolynomial Unit R).eval₂ φ (fun _ ↦ a) =
f.eval₂ φ a := by
rw [eval₂_pUnitAlgEquiv_symm]
theorem eval₂_pUnitAlgEquiv {f : MvPolynomial PUnit R} {φ : R →+* S} {a : PUnit → S} :
((MvPolynomial.pUnitAlgEquiv R) f : Polynomial R).eval₂ φ (a default) = f.eval₂ φ a := by
simp only [MvPolynomial.pUnitAlgEquiv_apply]
induction f using MvPolynomial.induction_on' with
| monomial d r => simp
| add f g hf hg => simp [hf, hg]
theorem eval₂_const_pUnitAlgEquiv {f : MvPolynomial PUnit R} {φ : R →+* S} {a : S} :
((MvPolynomial.pUnitAlgEquiv R) f : Polynomial R).eval₂ φ a = f.eval₂ φ (fun _ ↦ a) := by
rw [← eval₂_pUnitAlgEquiv]
end Eval
section
variable (S₁ S₂ S₃)
/-- The function from multivariable polynomials in a sum of two types,
to multivariable polynomials in one of the types,
with coefficients in multivariable polynomials in the other type.
See `sumRingEquiv` for the ring isomorphism.
-/
def sumToIter : MvPolynomial (S₁ ⊕ S₂) R →+* MvPolynomial S₁ (MvPolynomial S₂ R) :=
eval₂Hom (C.comp C) fun bc => Sum.recOn bc X (C ∘ X)
@[simp]
theorem sumToIter_C (a : R) : sumToIter R S₁ S₂ (C a) = C (C a) :=
eval₂_C _ _ a
@[simp]
theorem sumToIter_Xl (b : S₁) : sumToIter R S₁ S₂ (X (Sum.inl b)) = X b :=
eval₂_X _ _ (Sum.inl b)
@[simp]
theorem sumToIter_Xr (c : S₂) : sumToIter R S₁ S₂ (X (Sum.inr c)) = C (X c) :=
eval₂_X _ _ (Sum.inr c)
/-- The function from multivariable polynomials in one type,
with coefficients in multivariable polynomials in another type,
to multivariable polynomials in the sum of the two types.
See `sumRingEquiv` for the ring isomorphism.
-/
def iterToSum : MvPolynomial S₁ (MvPolynomial S₂ R) →+* MvPolynomial (S₁ ⊕ S₂) R :=
eval₂Hom (eval₂Hom C (X ∘ Sum.inr)) (X ∘ Sum.inl)
@[simp]
theorem iterToSum_C_C (a : R) : iterToSum R S₁ S₂ (C (C a)) = C a :=
Eq.trans (eval₂_C _ _ (C a)) (eval₂_C _ _ _)
@[simp]
theorem iterToSum_X (b : S₁) : iterToSum R S₁ S₂ (X b) = X (Sum.inl b) :=
eval₂_X _ _ _
@[simp]
theorem iterToSum_C_X (c : S₂) : iterToSum R S₁ S₂ (C (X c)) = X (Sum.inr c) :=
Eq.trans (eval₂_C _ _ (X c)) (eval₂_X _ _ _)
section isEmptyRingEquiv
variable [IsEmpty σ]
variable (σ) in
/-- The algebra isomorphism between multivariable polynomials in no variables
and the ground ring. -/
@[simps! apply]
def isEmptyAlgEquiv : MvPolynomial σ R ≃ₐ[R] R :=
.ofAlgHom (aeval isEmptyElim) (Algebra.ofId _ _) (by ext) (by ext i m; exact isEmptyElim i)
variable {R S₁} in
@[simp]
lemma aeval_injective_iff_of_isEmpty [CommSemiring S₁] [Algebra R S₁] {f : σ → S₁} :
Function.Injective (aeval f : MvPolynomial σ R →ₐ[R] S₁) ↔
Function.Injective (algebraMap R S₁) := by
have : aeval f = (Algebra.ofId R S₁).comp (@isEmptyAlgEquiv R σ _ _).toAlgHom := by
ext i
exact IsEmpty.elim' ‹IsEmpty σ› i
rw [this, ← Injective.of_comp_iff' _ (@isEmptyAlgEquiv R σ _ _).bijective]
rfl
variable (σ) in
/-- The ring isomorphism between multivariable polynomials in no variables
and the ground ring. -/
@[simps! apply]
def isEmptyRingEquiv : MvPolynomial σ R ≃+* R := (isEmptyAlgEquiv R σ).toRingEquiv
lemma isEmptyRingEquiv_symm_toRingHom : (isEmptyRingEquiv R σ).symm.toRingHom = C := rfl
@[simp] lemma isEmptyRingEquiv_symm_apply (r : R) : (isEmptyRingEquiv R σ).symm r = C r := rfl
lemma isEmptyRingEquiv_eq_coeff_zero {σ R : Type*} [CommSemiring R] [IsEmpty σ] {x} :
isEmptyRingEquiv R σ x = x.coeff 0 := by
obtain ⟨x, rfl⟩ := (isEmptyRingEquiv R σ).symm.surjective x; simp
end isEmptyRingEquiv
/-- A helper function for `sumRingEquiv`. -/
@[simps]
def mvPolynomialEquivMvPolynomial [CommSemiring S₃] (f : MvPolynomial S₁ R →+* MvPolynomial S₂ S₃)
(g : MvPolynomial S₂ S₃ →+* MvPolynomial S₁ R) (hfgC : (f.comp g).comp C = C)
(hfgX : ∀ n, f (g (X n)) = X n) (hgfC : (g.comp f).comp C = C) (hgfX : ∀ n, g (f (X n)) = X n) :
MvPolynomial S₁ R ≃+* MvPolynomial S₂ S₃ where
toFun := f
invFun := g
left_inv := is_id (RingHom.comp _ _) hgfC hgfX
right_inv := is_id (RingHom.comp _ _) hfgC hfgX
map_mul' := f.map_mul
map_add' := f.map_add
/-- The ring isomorphism between multivariable polynomials in a sum of two types,
and multivariable polynomials in one of the types,
with coefficients in multivariable polynomials in the other type.
-/
def sumRingEquiv : MvPolynomial (S₁ ⊕ S₂) R ≃+* MvPolynomial S₁ (MvPolynomial S₂ R) := by
apply mvPolynomialEquivMvPolynomial R (S₁ ⊕ S₂) _ _ (sumToIter R S₁ S₂) (iterToSum R S₁ S₂)
· refine RingHom.ext (hom_eq_hom _ _ ?hC ?hX)
case hC => ext1; simp only [RingHom.comp_apply, iterToSum_C_C, sumToIter_C]
case hX => intro; simp only [RingHom.comp_apply, iterToSum_C_X, sumToIter_Xr]
· simp [iterToSum_X, sumToIter_Xl]
· ext1; simp only [RingHom.comp_apply, sumToIter_C, iterToSum_C_C]
· rintro ⟨⟩ <;> simp only [sumToIter_Xl, iterToSum_X, sumToIter_Xr, iterToSum_C_X]
/-- The algebra isomorphism between multivariable polynomials in a sum of two types,
and multivariable polynomials in one of the types,
with coefficients in multivariable polynomials in the other type.
-/
@[simps!]
def sumAlgEquiv : MvPolynomial (S₁ ⊕ S₂) R ≃ₐ[R] MvPolynomial S₁ (MvPolynomial S₂ R) :=
{ sumRingEquiv R S₁ S₂ with
commutes' := by
intro r
| have A : algebraMap R (MvPolynomial S₁ (MvPolynomial S₂ R)) r = (C (C r) :) := rfl
have B : algebraMap R (MvPolynomial (S₁ ⊕ S₂) R) r = C r := rfl
| Mathlib/Algebra/MvPolynomial/Equiv.lean | 298 | 299 |
/-
Copyright (c) 2020 Zhouhang Zhou. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Zhouhang Zhou, Yury Kudryashov
-/
import Mathlib.MeasureTheory.Integral.Bochner.ContinuousLinearMap
import Mathlib.MeasureTheory.Integral.Bochner.FundThmCalculus
import Mathlib.MeasureTheory.Integral.Bochner.Set
deprecated_module (since := "2025-04-15")
| Mathlib/MeasureTheory/Integral/SetIntegral.lean | 1,119 | 1,128 | |
/-
Copyright (c) 2022 Rémy Degenne. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Rémy Degenne
-/
import Mathlib.Probability.Kernel.Defs
/-!
# Basic kernels
This file contains basic results about kernels in general and definitions of some particular
kernels.
## Main definitions
* `ProbabilityTheory.Kernel.deterministic (f : α → β) (hf : Measurable f)`:
kernel `a ↦ Measure.dirac (f a)`.
* `ProbabilityTheory.Kernel.id`: the identity kernel, deterministic kernel for
the identity function.
* `ProbabilityTheory.Kernel.copy α`: the deterministic kernel that maps `x : α` to
the Dirac measure at `(x, x) : α × α`.
* `ProbabilityTheory.Kernel.discard α`: the Markov kernel to the type `Unit`.
* `ProbabilityTheory.Kernel.swap α β`: the deterministic kernel that maps `(x, y)` to
the Dirac measure at `(y, x)`.
* `ProbabilityTheory.Kernel.const α (μβ : measure β)`: constant kernel `a ↦ μβ`.
* `ProbabilityTheory.Kernel.restrict κ (hs : MeasurableSet s)`: kernel for which the image of
`a : α` is `(κ a).restrict s`.
Integral: `∫⁻ b, f b ∂(κ.restrict hs a) = ∫⁻ b in s, f b ∂(κ a)`
* `ProbabilityTheory.Kernel.comapRight`: Kernel with value `(κ a).comap f`,
for a measurable embedding `f`. That is, for a measurable set `t : Set β`,
`ProbabilityTheory.Kernel.comapRight κ hf a t = κ a (f '' t)`
* `ProbabilityTheory.Kernel.piecewise (hs : MeasurableSet s) κ η`: the kernel equal to `κ`
on the measurable set `s` and to `η` on its complement.
## Main statements
-/
assert_not_exists MeasureTheory.integral
open MeasureTheory
open scoped ENNReal
namespace ProbabilityTheory
variable {α β ι : Type*} {mα : MeasurableSpace α} {mβ : MeasurableSpace β} {κ : Kernel α β}
namespace Kernel
section Deterministic
/-- Kernel which to `a` associates the dirac measure at `f a`. This is a Markov kernel. -/
noncomputable def deterministic (f : α → β) (hf : Measurable f) : Kernel α β where
toFun a := Measure.dirac (f a)
measurable' := by
refine Measure.measurable_of_measurable_coe _ fun s hs => ?_
simp_rw [Measure.dirac_apply' _ hs]
exact measurable_one.indicator (hf hs)
theorem deterministic_apply {f : α → β} (hf : Measurable f) (a : α) :
deterministic f hf a = Measure.dirac (f a) :=
rfl
theorem deterministic_apply' {f : α → β} (hf : Measurable f) (a : α) {s : Set β}
(hs : MeasurableSet s) : deterministic f hf a s = s.indicator (fun _ => 1) (f a) := by
rw [deterministic]
change Measure.dirac (f a) s = s.indicator 1 (f a)
simp_rw [Measure.dirac_apply' _ hs]
/-- Because of the measurability field in `Kernel.deterministic`, `rw [h]` will not rewrite
`deterministic f hf` to `deterministic g ⋯`. Instead one can do `rw [deterministic_congr h]`. -/
theorem deterministic_congr {f g : α → β} {hf : Measurable f} (h : f = g) :
deterministic f hf = deterministic g (h ▸ hf) := by
conv_lhs => enter [1]; rw [h]
instance isMarkovKernel_deterministic {f : α → β} (hf : Measurable f) :
IsMarkovKernel (deterministic f hf) :=
⟨fun a => by rw [deterministic_apply hf]; infer_instance⟩
theorem lintegral_deterministic' {f : β → ℝ≥0∞} {g : α → β} {a : α} (hg : Measurable g)
(hf : Measurable f) : ∫⁻ x, f x ∂deterministic g hg a = f (g a) := by
rw [deterministic_apply, lintegral_dirac' _ hf]
@[simp]
theorem lintegral_deterministic {f : β → ℝ≥0∞} {g : α → β} {a : α} (hg : Measurable g)
[MeasurableSingletonClass β] : ∫⁻ x, f x ∂deterministic g hg a = f (g a) := by
rw [deterministic_apply, lintegral_dirac (g a) f]
theorem setLIntegral_deterministic' {f : β → ℝ≥0∞} {g : α → β} {a : α} (hg : Measurable g)
(hf : Measurable f) {s : Set β} (hs : MeasurableSet s) [Decidable (g a ∈ s)] :
∫⁻ x in s, f x ∂deterministic g hg a = if g a ∈ s then f (g a) else 0 := by
rw [deterministic_apply, setLIntegral_dirac' hf hs]
@[simp]
theorem setLIntegral_deterministic {f : β → ℝ≥0∞} {g : α → β} {a : α} (hg : Measurable g)
[MeasurableSingletonClass β] (s : Set β) [Decidable (g a ∈ s)] :
∫⁻ x in s, f x ∂deterministic g hg a = if g a ∈ s then f (g a) else 0 := by
rw [deterministic_apply, setLIntegral_dirac f s]
end Deterministic
section Id
/-- The identity kernel, that maps `x : α` to the Dirac measure at `x`. -/
protected noncomputable
def id : Kernel α α := Kernel.deterministic id measurable_id
instance : IsMarkovKernel (Kernel.id : Kernel α α) := by rw [Kernel.id]; infer_instance
lemma id_apply (a : α) : Kernel.id a = Measure.dirac a := by
rw [Kernel.id, deterministic_apply, id_def]
lemma lintegral_id' {f : α → ℝ≥0∞} (hf : Measurable f) (a : α) :
∫⁻ a, f a ∂(@Kernel.id α mα a) = f a := by
rw [id_apply, lintegral_dirac' _ hf]
lemma lintegral_id [MeasurableSingletonClass α] {f : α → ℝ≥0∞} (a : α) :
∫⁻ a, f a ∂(@Kernel.id α mα a) = f a := by
rw [id_apply, lintegral_dirac]
end Id
section Copy
/-- The deterministic kernel that maps `x : α` to the Dirac measure at `(x, x) : α × α`. -/
noncomputable
def copy (α : Type*) [MeasurableSpace α] : Kernel α (α × α) :=
Kernel.deterministic (fun x ↦ (x, x)) (measurable_id.prod measurable_id)
instance : IsMarkovKernel (copy α) := by rw [copy]; infer_instance
lemma copy_apply (a : α) : copy α a = Measure.dirac (a, a) := by simp [copy, deterministic_apply]
end Copy
section Discard
/-- The Markov kernel to the `Unit` type. -/
noncomputable
def discard (α : Type*) [MeasurableSpace α] : Kernel α Unit :=
Kernel.deterministic (fun _ ↦ ()) measurable_const
instance : IsMarkovKernel (discard α) := by rw [discard]; infer_instance
@[simp]
lemma discard_apply (a : α) : discard α a = Measure.dirac () := deterministic_apply _ _
end Discard
section Swap
/-- The deterministic kernel that maps `(x, y)` to the Dirac measure at `(y, x)`. -/
noncomputable
def swap (α β : Type*) [MeasurableSpace α] [MeasurableSpace β] : Kernel (α × β) (β × α) :=
Kernel.deterministic Prod.swap measurable_swap
instance : IsMarkovKernel (swap α β) := by rw [swap]; infer_instance
/-- See `swap_apply'` for a fully applied version of this lemma. -/
lemma swap_apply (ab : α × β) : swap α β ab = Measure.dirac ab.swap := by
rw [swap, deterministic_apply]
/-- See `swap_apply` for a partially applied version of this lemma. -/
lemma swap_apply' (ab : α × β) {s : Set (β × α)} (hs : MeasurableSet s) :
swap α β ab s = s.indicator 1 ab.swap := by
rw [swap_apply, Measure.dirac_apply' _ hs]
end Swap
section Const
/-- Constant kernel, which always returns the same measure. -/
def const (α : Type*) {β : Type*} [MeasurableSpace α] {_ : MeasurableSpace β} (μβ : Measure β) :
Kernel α β where
toFun _ := μβ
measurable' := measurable_const
@[simp]
theorem const_apply (μβ : Measure β) (a : α) : const α μβ a = μβ :=
rfl
@[simp]
lemma const_zero : const α (0 : Measure β) = 0 := by
ext x s _; simp [const_apply]
lemma const_add (β : Type*) [MeasurableSpace β] (μ ν : Measure α) :
const β (μ + ν) = const β μ + const β ν := by ext; simp
lemma sum_const [Countable ι] (μ : ι → Measure β) :
Kernel.sum (fun n ↦ const α (μ n)) = const α (Measure.sum μ) := rfl
instance const.instIsFiniteKernel {μβ : Measure β} [IsFiniteMeasure μβ] :
IsFiniteKernel (const α μβ) :=
⟨⟨μβ Set.univ, measure_lt_top _ _, fun _ => le_rfl⟩⟩
instance const.instIsSFiniteKernel {μβ : Measure β} [SFinite μβ] :
IsSFiniteKernel (const α μβ) :=
⟨fun n ↦ const α (sfiniteSeq μβ n), fun n ↦ inferInstance, by rw [sum_const, sum_sfiniteSeq]⟩
instance const.instIsMarkovKernel {μβ : Measure β} [hμβ : IsProbabilityMeasure μβ] :
IsMarkovKernel (const α μβ) :=
⟨fun _ => hμβ⟩
instance const.instIsZeroOrMarkovKernel {μβ : Measure β} [hμβ : IsZeroOrProbabilityMeasure μβ] :
IsZeroOrMarkovKernel (const α μβ) := by
rcases eq_zero_or_isProbabilityMeasure μβ with rfl | h
· simp only [const_zero]
infer_instance
· infer_instance
lemma isSFiniteKernel_const [Nonempty α] {μβ : Measure β} :
IsSFiniteKernel (const α μβ) ↔ SFinite μβ :=
⟨fun h ↦ h.sFinite (Classical.arbitrary α), fun _ ↦ inferInstance⟩
@[simp]
theorem lintegral_const {f : β → ℝ≥0∞} {μ : Measure β} {a : α} :
∫⁻ x, f x ∂const α μ a = ∫⁻ x, f x ∂μ := by rw [const_apply]
@[simp]
theorem setLIntegral_const {f : β → ℝ≥0∞} {μ : Measure β} {a : α} {s : Set β} :
∫⁻ x in s, f x ∂const α μ a = ∫⁻ x in s, f x ∂μ := by rw [const_apply]
end Const
/-- In a countable space with measurable singletons, every function `α → MeasureTheory.Measure β`
defines a kernel. -/
def ofFunOfCountable [MeasurableSpace α] {_ : MeasurableSpace β} [Countable α]
[MeasurableSingletonClass α] (f : α → Measure β) : Kernel α β where
toFun := f
measurable' := measurable_of_countable f
section Restrict
variable {s t : Set β}
/-- Kernel given by the restriction of the measures in the image of a kernel to a set. -/
protected noncomputable def restrict (κ : Kernel α β) (hs : MeasurableSet s) : Kernel α β where
toFun a := (κ a).restrict s
measurable' := by
refine Measure.measurable_of_measurable_coe _ fun t ht => ?_
simp_rw [Measure.restrict_apply ht]
exact Kernel.measurable_coe κ (ht.inter hs)
theorem restrict_apply (κ : Kernel α β) (hs : MeasurableSet s) (a : α) :
κ.restrict hs a = (κ a).restrict s :=
rfl
theorem restrict_apply' (κ : Kernel α β) (hs : MeasurableSet s) (a : α) (ht : MeasurableSet t) :
κ.restrict hs a t = (κ a) (t ∩ s) := by
rw [restrict_apply κ hs a, Measure.restrict_apply ht]
@[simp]
theorem restrict_univ : κ.restrict MeasurableSet.univ = κ := by
ext1 a
rw [Kernel.restrict_apply, Measure.restrict_univ]
@[simp]
theorem lintegral_restrict (κ : Kernel α β) (hs : MeasurableSet s) (a : α) (f : β → ℝ≥0∞) :
∫⁻ b, f b ∂κ.restrict hs a = ∫⁻ b in s, f b ∂κ a := by rw [restrict_apply]
@[simp]
theorem setLIntegral_restrict (κ : Kernel α β) (hs : MeasurableSet s) (a : α) (f : β → ℝ≥0∞)
(t : Set β) : ∫⁻ b in t, f b ∂κ.restrict hs a = ∫⁻ b in t ∩ s, f b ∂κ a := by
rw [restrict_apply, Measure.restrict_restrict' hs]
instance IsFiniteKernel.restrict (κ : Kernel α β) [IsFiniteKernel κ] (hs : MeasurableSet s) :
IsFiniteKernel (κ.restrict hs) := by
refine ⟨⟨IsFiniteKernel.bound κ, IsFiniteKernel.bound_lt_top κ, fun a => ?_⟩⟩
rw [restrict_apply' κ hs a MeasurableSet.univ]
exact measure_le_bound κ a _
instance IsSFiniteKernel.restrict (κ : Kernel α β) [IsSFiniteKernel κ] (hs : MeasurableSet s) :
IsSFiniteKernel (κ.restrict hs) := by
refine ⟨⟨fun n => Kernel.restrict (seq κ n) hs, inferInstance, ?_⟩⟩
ext1 a
simp_rw [sum_apply, restrict_apply, ← Measure.restrict_sum _ hs, ← sum_apply, kernel_sum_seq]
end Restrict
section ComapRight
variable {γ : Type*} {mγ : MeasurableSpace γ} {f : γ → β}
/-- Kernel with value `(κ a).comap f`, for a measurable embedding `f`. That is, for a measurable set
`t : Set β`, `ProbabilityTheory.Kernel.comapRight κ hf a t = κ a (f '' t)`. -/
noncomputable def comapRight (κ : Kernel α β) (hf : MeasurableEmbedding f) : Kernel α γ where
toFun a := (κ a).comap f
measurable' := by
refine Measure.measurable_measure.mpr fun t ht => ?_
have : (fun a => Measure.comap f (κ a) t) = fun a => κ a (f '' t) := by
ext1 a
rw [Measure.comap_apply _ hf.injective _ _ ht]
exact fun s' hs' ↦ hf.measurableSet_image.mpr hs'
rw [this]
exact Kernel.measurable_coe _ (hf.measurableSet_image.mpr ht)
theorem comapRight_apply (κ : Kernel α β) (hf : MeasurableEmbedding f) (a : α) :
comapRight κ hf a = Measure.comap f (κ a) :=
rfl
theorem comapRight_apply' (κ : Kernel α β) (hf : MeasurableEmbedding f) (a : α) {t : Set γ}
(ht : MeasurableSet t) : comapRight κ hf a t = κ a (f '' t) := by
rw [comapRight_apply,
Measure.comap_apply _ hf.injective (fun s => hf.measurableSet_image.mpr) _ ht]
@[simp]
lemma comapRight_id (κ : Kernel α β) : comapRight κ MeasurableEmbedding.id = κ := by
ext _ _ hs; rw [comapRight_apply' _ _ _ hs]; simp
theorem IsMarkovKernel.comapRight (κ : Kernel α β) (hf : MeasurableEmbedding f)
(hκ : ∀ a, κ a (Set.range f) = 1) : IsMarkovKernel (comapRight κ hf) := by
refine ⟨fun a => ⟨?_⟩⟩
rw [comapRight_apply' κ hf a MeasurableSet.univ]
simp only [Set.image_univ, Subtype.range_coe_subtype, Set.setOf_mem_eq]
exact hκ a
instance IsFiniteKernel.comapRight (κ : Kernel α β) [IsFiniteKernel κ]
(hf : MeasurableEmbedding f) : IsFiniteKernel (comapRight κ hf) := by
refine ⟨⟨IsFiniteKernel.bound κ, IsFiniteKernel.bound_lt_top κ, fun a => ?_⟩⟩
rw [comapRight_apply' κ hf a .univ]
exact measure_le_bound κ a _
protected instance IsSFiniteKernel.comapRight (κ : Kernel α β) [IsSFiniteKernel κ]
(hf : MeasurableEmbedding f) : IsSFiniteKernel (comapRight κ hf) := by
refine ⟨⟨fun n => comapRight (seq κ n) hf, inferInstance, ?_⟩⟩
ext1 a
rw [sum_apply]
simp_rw [comapRight_apply _ hf]
have :
(Measure.sum fun n => Measure.comap f (seq κ n a)) =
Measure.comap f (Measure.sum fun n => seq κ n a) := by
ext1 t ht
rw [Measure.comap_apply _ hf.injective (fun s' => hf.measurableSet_image.mpr) _ ht,
Measure.sum_apply _ ht, Measure.sum_apply _ (hf.measurableSet_image.mpr ht)]
congr with n : 1
rw [Measure.comap_apply _ hf.injective (fun s' => hf.measurableSet_image.mpr) _ ht]
rw [this, measure_sum_seq]
end ComapRight
section Piecewise
variable {η : Kernel α β} {s : Set α} {hs : MeasurableSet s} [DecidablePred (· ∈ s)]
/-- `ProbabilityTheory.Kernel.piecewise hs κ η` is the kernel equal to `κ` on the measurable set `s`
and to `η` on its complement. -/
def piecewise (hs : MeasurableSet s) (κ η : Kernel α β) : Kernel α β where
toFun a := if a ∈ s then κ a else η a
measurable' := κ.measurable.piecewise hs η.measurable
theorem piecewise_apply (a : α) : piecewise hs κ η a = if a ∈ s then κ a else η a :=
rfl
theorem piecewise_apply' (a : α) (t : Set β) :
piecewise hs κ η a t = if a ∈ s then κ a t else η a t := by
rw [piecewise_apply]; split_ifs <;> rfl
instance IsMarkovKernel.piecewise [IsMarkovKernel κ] [IsMarkovKernel η] :
IsMarkovKernel (piecewise hs κ η) := by
refine ⟨fun a => ⟨?_⟩⟩
rw [piecewise_apply', measure_univ, measure_univ, ite_self]
instance IsFiniteKernel.piecewise [IsFiniteKernel κ] [IsFiniteKernel η] :
IsFiniteKernel (piecewise hs κ η) := by
refine ⟨⟨max (IsFiniteKernel.bound κ) (IsFiniteKernel.bound η), ?_, fun a => ?_⟩⟩
· exact max_lt (IsFiniteKernel.bound_lt_top κ) (IsFiniteKernel.bound_lt_top η)
rw [piecewise_apply']
exact (ite_le_sup _ _ _).trans (sup_le_sup (measure_le_bound _ _ _) (measure_le_bound _ _ _))
protected instance IsSFiniteKernel.piecewise [IsSFiniteKernel κ] [IsSFiniteKernel η] :
IsSFiniteKernel (piecewise hs κ η) := by
refine ⟨⟨fun n => piecewise hs (seq κ n) (seq η n), inferInstance, ?_⟩⟩
ext1 a
simp_rw [sum_apply, Kernel.piecewise_apply]
split_ifs <;> exact (measure_sum_seq _ a).symm
theorem lintegral_piecewise (a : α) (g : β → ℝ≥0∞) :
∫⁻ b, g b ∂piecewise hs κ η a = if a ∈ s then ∫⁻ b, g b ∂κ a else ∫⁻ b, g b ∂η a := by
simp_rw [piecewise_apply]; split_ifs <;> rfl
theorem setLIntegral_piecewise (a : α) (g : β → ℝ≥0∞) (t : Set β) :
∫⁻ b in t, g b ∂piecewise hs κ η a =
if a ∈ s then ∫⁻ b in t, g b ∂κ a else ∫⁻ b in t, g b ∂η a := by
simp_rw [piecewise_apply]; split_ifs <;> rfl
end Piecewise
lemma exists_ae_eq_isMarkovKernel {μ : Measure α}
(h : ∀ᵐ a ∂μ, IsProbabilityMeasure (κ a)) (h' : μ ≠ 0) :
∃ (η : Kernel α β), (κ =ᵐ[μ] η) ∧ IsMarkovKernel η := by
classical
obtain ⟨s, s_meas, μs, hs⟩ : ∃ s, MeasurableSet s ∧ μ s = 0
∧ ∀ a ∉ s, IsProbabilityMeasure (κ a) := by
refine ⟨toMeasurable μ {a | ¬ IsProbabilityMeasure (κ a)}, measurableSet_toMeasurable _ _,
by simpa [measure_toMeasurable] using h, ?_⟩
intro a ha
contrapose! ha
exact subset_toMeasurable _ _ ha
obtain ⟨a, ha⟩ : sᶜ.Nonempty := by
contrapose! h'; simpa [μs, h'] using measure_univ_le_add_compl s (μ := μ)
refine ⟨Kernel.piecewise s_meas (Kernel.const _ (κ a)) κ, ?_, ?_⟩
· filter_upwards [measure_zero_iff_ae_nmem.1 μs] with b hb
simp [hb, piecewise]
· refine ⟨fun b ↦ ?_⟩
by_cases hb : b ∈ s
· simpa [hb, piecewise] using hs _ ha
· simpa [hb, piecewise] using hs _ hb
end Kernel
end ProbabilityTheory
| Mathlib/Probability/Kernel/Basic.lean | 699 | 701 | |
/-
Copyright (c) 2014 Jeremy Avigad. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Jeremy Avigad, Leonardo de Moura, Johannes Hölzl, Mario Carneiro
-/
import Mathlib.Logic.Pairwise
import Mathlib.Data.Set.BooleanAlgebra
/-!
# The set lattice
This file is a collection of results on the complete atomic boolean algebra structure of `Set α`.
Notation for the complete lattice operations can be found in `Mathlib.Order.SetNotation`.
## Main declarations
* `Set.sInter_eq_biInter`, `Set.sUnion_eq_biInter`: Shows that `⋂₀ s = ⋂ x ∈ s, x` and
`⋃₀ s = ⋃ x ∈ s, x`.
* `Set.completeAtomicBooleanAlgebra`: `Set α` is a `CompleteAtomicBooleanAlgebra` with `≤ = ⊆`,
`< = ⊂`, `⊓ = ∩`, `⊔ = ∪`, `⨅ = ⋂`, `⨆ = ⋃` and `\` as the set difference.
See `Set.instBooleanAlgebra`.
* `Set.unionEqSigmaOfDisjoint`: Equivalence between `⋃ i, t i` and `Σ i, t i`, where `t` is an
indexed family of disjoint sets.
## Naming convention
In lemma names,
* `⋃ i, s i` is called `iUnion`
* `⋂ i, s i` is called `iInter`
* `⋃ i j, s i j` is called `iUnion₂`. This is an `iUnion` inside an `iUnion`.
* `⋂ i j, s i j` is called `iInter₂`. This is an `iInter` inside an `iInter`.
* `⋃ i ∈ s, t i` is called `biUnion` for "bounded `iUnion`". This is the special case of `iUnion₂`
where `j : i ∈ s`.
* `⋂ i ∈ s, t i` is called `biInter` for "bounded `iInter`". This is the special case of `iInter₂`
where `j : i ∈ s`.
## Notation
* `⋃`: `Set.iUnion`
* `⋂`: `Set.iInter`
* `⋃₀`: `Set.sUnion`
* `⋂₀`: `Set.sInter`
-/
open Function Set
universe u
variable {α β γ δ : Type*} {ι ι' ι₂ : Sort*} {κ κ₁ κ₂ : ι → Sort*} {κ' : ι' → Sort*}
namespace Set
/-! ### Complete lattice and complete Boolean algebra instances -/
theorem mem_iUnion₂ {x : γ} {s : ∀ i, κ i → Set γ} : (x ∈ ⋃ (i) (j), s i j) ↔ ∃ i j, x ∈ s i j := by
simp_rw [mem_iUnion]
theorem mem_iInter₂ {x : γ} {s : ∀ i, κ i → Set γ} : (x ∈ ⋂ (i) (j), s i j) ↔ ∀ i j, x ∈ s i j := by
simp_rw [mem_iInter]
theorem mem_iUnion_of_mem {s : ι → Set α} {a : α} (i : ι) (ha : a ∈ s i) : a ∈ ⋃ i, s i :=
mem_iUnion.2 ⟨i, ha⟩
theorem mem_iUnion₂_of_mem {s : ∀ i, κ i → Set α} {a : α} {i : ι} (j : κ i) (ha : a ∈ s i j) :
a ∈ ⋃ (i) (j), s i j :=
mem_iUnion₂.2 ⟨i, j, ha⟩
theorem mem_iInter_of_mem {s : ι → Set α} {a : α} (h : ∀ i, a ∈ s i) : a ∈ ⋂ i, s i :=
mem_iInter.2 h
theorem mem_iInter₂_of_mem {s : ∀ i, κ i → Set α} {a : α} (h : ∀ i j, a ∈ s i j) :
a ∈ ⋂ (i) (j), s i j :=
mem_iInter₂.2 h
/-! ### Union and intersection over an indexed family of sets -/
@[congr]
theorem iUnion_congr_Prop {p q : Prop} {f₁ : p → Set α} {f₂ : q → Set α} (pq : p ↔ q)
(f : ∀ x, f₁ (pq.mpr x) = f₂ x) : iUnion f₁ = iUnion f₂ :=
iSup_congr_Prop pq f
@[congr]
theorem iInter_congr_Prop {p q : Prop} {f₁ : p → Set α} {f₂ : q → Set α} (pq : p ↔ q)
(f : ∀ x, f₁ (pq.mpr x) = f₂ x) : iInter f₁ = iInter f₂ :=
iInf_congr_Prop pq f
theorem iUnion_plift_up (f : PLift ι → Set α) : ⋃ i, f (PLift.up i) = ⋃ i, f i :=
iSup_plift_up _
theorem iUnion_plift_down (f : ι → Set α) : ⋃ i, f (PLift.down i) = ⋃ i, f i :=
iSup_plift_down _
theorem iInter_plift_up (f : PLift ι → Set α) : ⋂ i, f (PLift.up i) = ⋂ i, f i :=
iInf_plift_up _
theorem iInter_plift_down (f : ι → Set α) : ⋂ i, f (PLift.down i) = ⋂ i, f i :=
iInf_plift_down _
theorem iUnion_eq_if {p : Prop} [Decidable p] (s : Set α) : ⋃ _ : p, s = if p then s else ∅ :=
iSup_eq_if _
theorem iUnion_eq_dif {p : Prop} [Decidable p] (s : p → Set α) :
⋃ h : p, s h = if h : p then s h else ∅ :=
iSup_eq_dif _
theorem iInter_eq_if {p : Prop} [Decidable p] (s : Set α) : ⋂ _ : p, s = if p then s else univ :=
iInf_eq_if _
theorem iInf_eq_dif {p : Prop} [Decidable p] (s : p → Set α) :
⋂ h : p, s h = if h : p then s h else univ :=
_root_.iInf_eq_dif _
theorem exists_set_mem_of_union_eq_top {ι : Type*} (t : Set ι) (s : ι → Set β)
(w : ⋃ i ∈ t, s i = ⊤) (x : β) : ∃ i ∈ t, x ∈ s i := by
have p : x ∈ ⊤ := Set.mem_univ x
rw [← w, Set.mem_iUnion] at p
simpa using p
theorem nonempty_of_union_eq_top_of_nonempty {ι : Type*} (t : Set ι) (s : ι → Set α)
(H : Nonempty α) (w : ⋃ i ∈ t, s i = ⊤) : t.Nonempty := by
obtain ⟨x, m, -⟩ := exists_set_mem_of_union_eq_top t s w H.some
exact ⟨x, m⟩
theorem nonempty_of_nonempty_iUnion
{s : ι → Set α} (h_Union : (⋃ i, s i).Nonempty) : Nonempty ι := by
obtain ⟨x, hx⟩ := h_Union
exact ⟨Classical.choose <| mem_iUnion.mp hx⟩
theorem nonempty_of_nonempty_iUnion_eq_univ
{s : ι → Set α} [Nonempty α] (h_Union : ⋃ i, s i = univ) : Nonempty ι :=
nonempty_of_nonempty_iUnion (s := s) (by simpa only [h_Union] using univ_nonempty)
theorem setOf_exists (p : ι → β → Prop) : { x | ∃ i, p i x } = ⋃ i, { x | p i x } :=
ext fun _ => mem_iUnion.symm
theorem setOf_forall (p : ι → β → Prop) : { x | ∀ i, p i x } = ⋂ i, { x | p i x } :=
ext fun _ => mem_iInter.symm
theorem iUnion_subset {s : ι → Set α} {t : Set α} (h : ∀ i, s i ⊆ t) : ⋃ i, s i ⊆ t :=
iSup_le h
theorem iUnion₂_subset {s : ∀ i, κ i → Set α} {t : Set α} (h : ∀ i j, s i j ⊆ t) :
⋃ (i) (j), s i j ⊆ t :=
iUnion_subset fun x => iUnion_subset (h x)
theorem subset_iInter {t : Set β} {s : ι → Set β} (h : ∀ i, t ⊆ s i) : t ⊆ ⋂ i, s i :=
le_iInf h
theorem subset_iInter₂ {s : Set α} {t : ∀ i, κ i → Set α} (h : ∀ i j, s ⊆ t i j) :
s ⊆ ⋂ (i) (j), t i j :=
subset_iInter fun x => subset_iInter <| h x
@[simp]
theorem iUnion_subset_iff {s : ι → Set α} {t : Set α} : ⋃ i, s i ⊆ t ↔ ∀ i, s i ⊆ t :=
⟨fun h _ => Subset.trans (le_iSup s _) h, iUnion_subset⟩
theorem iUnion₂_subset_iff {s : ∀ i, κ i → Set α} {t : Set α} :
⋃ (i) (j), s i j ⊆ t ↔ ∀ i j, s i j ⊆ t := by simp_rw [iUnion_subset_iff]
@[simp]
theorem subset_iInter_iff {s : Set α} {t : ι → Set α} : (s ⊆ ⋂ i, t i) ↔ ∀ i, s ⊆ t i :=
le_iInf_iff
theorem subset_iInter₂_iff {s : Set α} {t : ∀ i, κ i → Set α} :
(s ⊆ ⋂ (i) (j), t i j) ↔ ∀ i j, s ⊆ t i j := by simp_rw [subset_iInter_iff]
theorem subset_iUnion : ∀ (s : ι → Set β) (i : ι), s i ⊆ ⋃ i, s i :=
le_iSup
theorem iInter_subset : ∀ (s : ι → Set β) (i : ι), ⋂ i, s i ⊆ s i :=
iInf_le
lemma iInter_subset_iUnion [Nonempty ι] {s : ι → Set α} : ⋂ i, s i ⊆ ⋃ i, s i := iInf_le_iSup
theorem subset_iUnion₂ {s : ∀ i, κ i → Set α} (i : ι) (j : κ i) : s i j ⊆ ⋃ (i') (j'), s i' j' :=
le_iSup₂ i j
theorem iInter₂_subset {s : ∀ i, κ i → Set α} (i : ι) (j : κ i) : ⋂ (i) (j), s i j ⊆ s i j :=
iInf₂_le i j
/-- This rather trivial consequence of `subset_iUnion`is convenient with `apply`, and has `i`
explicit for this purpose. -/
theorem subset_iUnion_of_subset {s : Set α} {t : ι → Set α} (i : ι) (h : s ⊆ t i) : s ⊆ ⋃ i, t i :=
le_iSup_of_le i h
/-- This rather trivial consequence of `iInter_subset`is convenient with `apply`, and has `i`
explicit for this purpose. -/
theorem iInter_subset_of_subset {s : ι → Set α} {t : Set α} (i : ι) (h : s i ⊆ t) :
⋂ i, s i ⊆ t :=
iInf_le_of_le i h
/-- This rather trivial consequence of `subset_iUnion₂` is convenient with `apply`, and has `i` and
`j` explicit for this purpose. -/
theorem subset_iUnion₂_of_subset {s : Set α} {t : ∀ i, κ i → Set α} (i : ι) (j : κ i)
(h : s ⊆ t i j) : s ⊆ ⋃ (i) (j), t i j :=
le_iSup₂_of_le i j h
/-- This rather trivial consequence of `iInter₂_subset` is convenient with `apply`, and has `i` and
`j` explicit for this purpose. -/
theorem iInter₂_subset_of_subset {s : ∀ i, κ i → Set α} {t : Set α} (i : ι) (j : κ i)
(h : s i j ⊆ t) : ⋂ (i) (j), s i j ⊆ t :=
iInf₂_le_of_le i j h
theorem iUnion_mono {s t : ι → Set α} (h : ∀ i, s i ⊆ t i) : ⋃ i, s i ⊆ ⋃ i, t i :=
iSup_mono h
@[gcongr]
| theorem iUnion_mono'' {s t : ι → Set α} (h : ∀ i, s i ⊆ t i) : iUnion s ⊆ iUnion t :=
iSup_mono h
theorem iUnion₂_mono {s t : ∀ i, κ i → Set α} (h : ∀ i j, s i j ⊆ t i j) :
⋃ (i) (j), s i j ⊆ ⋃ (i) (j), t i j :=
| Mathlib/Data/Set/Lattice.lean | 207 | 211 |
/-
Copyright (c) 2023 Joël Riou. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Joël Riou
-/
import Mathlib.Algebra.Group.Nat.Defs
import Mathlib.CategoryTheory.Category.Preorder
import Mathlib.CategoryTheory.EqToHom
import Mathlib.CategoryTheory.Functor.Const
import Mathlib.Order.Fin.Basic
import Mathlib.Tactic.FinCases
import Mathlib.Tactic.SuppressCompilation
/-!
# Composable arrows
If `C` is a category, the type of `n`-simplices in the nerve of `C` identifies
to the type of functors `Fin (n + 1) ⥤ C`, which can be thought as families of `n` composable
arrows in `C`. In this file, we introduce and study this category `ComposableArrows C n`
of `n` composable arrows in `C`.
If `F : ComposableArrows C n`, we define `F.left` as the leftmost object, `F.right` as the
rightmost object, and `F.hom : F.left ⟶ F.right` is the canonical map.
The most significant definition in this file is the constructor
`F.precomp f : ComposableArrows C (n + 1)` for `F : ComposableArrows C n` and `f : X ⟶ F.left`:
"it shifts `F` towards the right and inserts `f` on the left". This `precomp` has
good definitional properties.
In the namespace `CategoryTheory.ComposableArrows`, we provide constructors
like `mk₁ f`, `mk₂ f g`, `mk₃ f g h` for `ComposableArrows C n` for small `n`.
TODO (@joelriou):
* redefine `Arrow C` as `ComposableArrow C 1`?
* construct some elements in `ComposableArrows m (Fin (n + 1))` for small `n`
the precomposition with which shall induce functors
`ComposableArrows C n ⥤ ComposableArrows C m` which correspond to simplicial operations
(specifically faces) with good definitional properties (this might be necessary for
up to `n = 7` in order to formalize spectral sequences following Verdier)
-/
/-!
New `simprocs` that run even in `dsimp` have caused breakages in this file.
(e.g. `dsimp` can now simplify `2 + 3` to `5`)
For now, we just turn off simprocs in this file.
We'll soon provide finer grained options here, e.g. to turn off simprocs only in `dsimp`, etc.
*However*, hopefully it is possible to refactor the material here so that no backwards compatibility
`set_option`s are required at all
-/
set_option simprocs false
namespace CategoryTheory
open Category
variable (C : Type*) [Category C]
/-- `ComposableArrows C n` is the type of functors `Fin (n + 1) ⥤ C`. -/
abbrev ComposableArrows (n : ℕ) := Fin (n + 1) ⥤ C
namespace ComposableArrows
variable {C} {n m : ℕ}
variable (F G : ComposableArrows C n)
/-- A wrapper for `omega` which prefaces it with some quick and useful attempts -/
macro "valid" : tactic =>
`(tactic| first | assumption | apply zero_le | apply le_rfl | transitivity <;> assumption | omega)
/-- The `i`th object (with `i : ℕ` such that `i ≤ n`) of `F : ComposableArrows C n`. -/
@[simp]
abbrev obj' (i : ℕ) (hi : i ≤ n := by valid) : C := F.obj ⟨i, by omega⟩
/-- The map `F.obj' i ⟶ F.obj' j` when `F : ComposableArrows C n`, and `i` and `j`
are natural numbers such that `i ≤ j ≤ n`. -/
@[simp]
abbrev map' (i j : ℕ) (hij : i ≤ j := by valid) (hjn : j ≤ n := by valid) :
F.obj ⟨i, by omega⟩ ⟶ F.obj ⟨j, by omega⟩ := F.map (homOfLE (by
simp only [Fin.mk_le_mk]
valid))
lemma map'_self (i : ℕ) (hi : i ≤ n := by valid) :
F.map' i i = 𝟙 _ := F.map_id _
lemma map'_comp (i j k : ℕ) (hij : i ≤ j := by valid)
(hjk : j ≤ k := by valid) (hk : k ≤ n := by valid) :
F.map' i k = F.map' i j ≫ F.map' j k :=
F.map_comp _ _
/-- The leftmost object of `F : ComposableArrows C n`. -/
abbrev left := obj' F 0
/-- The rightmost object of `F : ComposableArrows C n`. -/
abbrev right := obj' F n
/-- The canonical map `F.left ⟶ F.right` for `F : ComposableArrows C n`. -/
abbrev hom : F.left ⟶ F.right := map' F 0 n
variable {F G}
/-- The map `F.obj' i ⟶ G.obj' i` induced on `i`th objects by a morphism `F ⟶ G`
in `ComposableArrows C n` when `i` is a natural number such that `i ≤ n`. -/
@[simp]
abbrev app' (φ : F ⟶ G) (i : ℕ) (hi : i ≤ n := by valid) :
F.obj' i ⟶ G.obj' i := φ.app _
@[reassoc]
lemma naturality' (φ : F ⟶ G) (i j : ℕ) (hij : i ≤ j := by valid)
(hj : j ≤ n := by valid) :
F.map' i j ≫ app' φ j = app' φ i ≫ G.map' i j :=
φ.naturality _
/-- Constructor for `ComposableArrows C 0`. -/
@[simps!]
def mk₀ (X : C) : ComposableArrows C 0 := (Functor.const (Fin 1)).obj X
namespace Mk₁
variable (X₀ X₁ : C)
/-- The map which sends `0 : Fin 2` to `X₀` and `1` to `X₁`. -/
@[simp]
def obj : Fin 2 → C
| ⟨0, _⟩ => X₀
| ⟨1, _⟩ => X₁
variable {X₀ X₁}
variable (f : X₀ ⟶ X₁)
/-- The obvious map `obj X₀ X₁ i ⟶ obj X₀ X₁ j` whenever `i j : Fin 2` satisfy `i ≤ j`. -/
@[simp]
def map : ∀ (i j : Fin 2) (_ : i ≤ j), obj X₀ X₁ i ⟶ obj X₀ X₁ j
| ⟨0, _⟩, ⟨0, _⟩, _ => 𝟙 _
| ⟨0, _⟩, ⟨1, _⟩, _ => f
| ⟨1, _⟩, ⟨1, _⟩, _ => 𝟙 _
lemma map_id (i : Fin 2) : map f i i (by simp) = 𝟙 _ :=
match i with
| 0 => rfl
| 1 => rfl
lemma map_comp {i j k : Fin 2} (hij : i ≤ j) (hjk : j ≤ k) :
map f i k (hij.trans hjk) = map f i j hij ≫ map f j k hjk := by
obtain rfl | rfl : i = j ∨ j = k := by omega
· rw [map_id, id_comp]
· rw [map_id, comp_id]
end Mk₁
/-- Constructor for `ComposableArrows C 1`. -/
@[simps]
def mk₁ {X₀ X₁ : C} (f : X₀ ⟶ X₁) : ComposableArrows C 1 where
obj := Mk₁.obj X₀ X₁
map g := Mk₁.map f _ _ (leOfHom g)
map_id := Mk₁.map_id f
map_comp g g' := Mk₁.map_comp f (leOfHom g) (leOfHom g')
/-- Constructor for morphisms `F ⟶ G` in `ComposableArrows C n` which takes as inputs
a family of morphisms `F.obj i ⟶ G.obj i` and the naturality condition only for the
maps in `Fin (n + 1)` given by inequalities of the form `i ≤ i + 1`. -/
@[simps]
def homMk {F G : ComposableArrows C n} (app : ∀ i, F.obj i ⟶ G.obj i)
(w : ∀ (i : ℕ) (hi : i < n), F.map' i (i + 1) ≫ app _ = app _ ≫ G.map' i (i + 1)) :
F ⟶ G where
app := app
naturality := by
suffices ∀ (k i j : ℕ) (hj : i + k = j) (hj' : j ≤ n),
F.map' i j ≫ app _ = app _ ≫ G.map' i j by
rintro ⟨i, hi⟩ ⟨j, hj⟩ hij
have hij' := leOfHom hij
simp only [Fin.mk_le_mk] at hij'
obtain ⟨k, hk⟩ := Nat.le.dest hij'
exact this k i j hk (by valid)
intro k
induction' k with k hk
· intro i j hj hj'
simp only [add_zero] at hj
obtain rfl := hj
rw [F.map'_self i, G.map'_self i, id_comp, comp_id]
· intro i j hj hj'
rw [← add_assoc] at hj
subst hj
rw [F.map'_comp i (i + k) (i + k + 1), G.map'_comp i (i + k) (i + k + 1), assoc,
w (i + k) (by valid), reassoc_of% (hk i (i + k) rfl (by valid))]
/-- Constructor for isomorphisms `F ≅ G` in `ComposableArrows C n` which takes as inputs
a family of isomorphisms `F.obj i ≅ G.obj i` and the naturality condition only for the
maps in `Fin (n + 1)` given by inequalities of the form `i ≤ i + 1`. -/
@[simps]
def isoMk {F G : ComposableArrows C n} (app : ∀ i, F.obj i ≅ G.obj i)
(w : ∀ (i : ℕ) (hi : i < n),
F.map' i (i + 1) ≫ (app _).hom = (app _).hom ≫ G.map' i (i + 1)) :
F ≅ G where
hom := homMk (fun i => (app i).hom) w
inv := homMk (fun i => (app i).inv) (fun i hi => by
dsimp only
rw [← cancel_epi ((app _).hom), ← reassoc_of% (w i hi), Iso.hom_inv_id, comp_id,
Iso.hom_inv_id_assoc])
lemma ext {F G : ComposableArrows C n} (h : ∀ i, F.obj i = G.obj i)
(w : ∀ (i : ℕ) (hi : i < n), F.map' i (i + 1) =
eqToHom (h _) ≫ G.map' i (i + 1) ≫ eqToHom (h _).symm) : F = G :=
Functor.ext_of_iso
(isoMk (fun i => eqToIso (h i)) (fun i hi => by simp [w i hi])) h (fun _ => rfl)
/-- Constructor for morphisms in `ComposableArrows C 0`. -/
@[simps!]
def homMk₀ {F G : ComposableArrows C 0} (f : F.obj' 0 ⟶ G.obj' 0) : F ⟶ G :=
homMk (fun i => match i with
| ⟨0, _⟩ => f) (fun i hi => by simp at hi)
@[ext]
lemma hom_ext₀ {F G : ComposableArrows C 0} {φ φ' : F ⟶ G}
(h : app' φ 0 = app' φ' 0) :
φ = φ' := by
ext i
fin_cases i
exact h
/-- Constructor for isomorphisms in `ComposableArrows C 0`. -/
@[simps!]
def isoMk₀ {F G : ComposableArrows C 0} (e : F.obj' 0 ≅ G.obj' 0) : F ≅ G where
hom := homMk₀ e.hom
inv := homMk₀ e.inv
lemma ext₀ {F G : ComposableArrows C 0} (h : F.obj' 0 = G.obj 0) : F = G :=
ext (fun i => match i with
| ⟨0, _⟩ => h) (fun i hi => by simp at hi)
lemma mk₀_surjective (F : ComposableArrows C 0) : ∃ (X : C), F = mk₀ X :=
⟨F.obj' 0, ext₀ rfl⟩
/-- Constructor for morphisms in `ComposableArrows C 1`. -/
@[simps!]
def homMk₁ {F G : ComposableArrows C 1}
(left : F.obj' 0 ⟶ G.obj' 0) (right : F.obj' 1 ⟶ G.obj' 1)
(w : F.map' 0 1 ≫ right = left ≫ G.map' 0 1 := by aesop_cat) :
F ⟶ G :=
homMk (fun i => match i with
| ⟨0, _⟩ => left
| ⟨1, _⟩ => right) (by
intro i hi
obtain rfl : i = 0 := by simpa using hi
exact w)
@[ext]
lemma hom_ext₁ {F G : ComposableArrows C 1} {φ φ' : F ⟶ G}
(h₀ : app' φ 0 = app' φ' 0) (h₁ : app' φ 1 = app' φ' 1) :
φ = φ' := by
ext i
match i with
| 0 => exact h₀
| 1 => exact h₁
/-- Constructor for isomorphisms in `ComposableArrows C 1`. -/
@[simps!]
def isoMk₁ {F G : ComposableArrows C 1}
(left : F.obj' 0 ≅ G.obj' 0) (right : F.obj' 1 ≅ G.obj' 1)
(w : F.map' 0 1 ≫ right.hom = left.hom ≫ G.map' 0 1 := by aesop_cat) :
F ≅ G where
hom := homMk₁ left.hom right.hom w
inv := homMk₁ left.inv right.inv (by
rw [← cancel_mono right.hom, assoc, assoc, w, right.inv_hom_id, left.inv_hom_id_assoc]
apply comp_id)
lemma map'_eq_hom₁ (F : ComposableArrows C 1) : F.map' 0 1 = F.hom := rfl
lemma ext₁ {F G : ComposableArrows C 1}
(left : F.left = G.left) (right : F.right = G.right)
(w : F.hom = eqToHom left ≫ G.hom ≫ eqToHom right.symm) : F = G :=
Functor.ext_of_iso (isoMk₁ (eqToIso left) (eqToIso right) (by simp [map'_eq_hom₁, w]))
(fun i => by fin_cases i <;> assumption)
(fun i => by fin_cases i <;> rfl)
lemma mk₁_surjective (X : ComposableArrows C 1) : ∃ (X₀ X₁ : C) (f : X₀ ⟶ X₁), X = mk₁ f :=
⟨_, _, X.map' 0 1, ext₁ rfl rfl (by simp)⟩
variable (F)
namespace Precomp
variable (X : C)
/-- The map `Fin (n + 1 + 1) → C` which "shifts" `F.obj'` to the right and inserts `X` in
the zeroth position. -/
def obj : Fin (n + 1 + 1) → C
| ⟨0, _⟩ => X
| ⟨i + 1, hi⟩ => F.obj' i
@[simp]
lemma obj_zero : obj F X 0 = X := rfl
@[simp]
lemma obj_one : obj F X 1 = F.obj' 0 := rfl
@[simp]
lemma obj_succ (i : ℕ) (hi : i + 1 < n + 1 + 1) : obj F X ⟨i + 1, hi⟩ = F.obj' i := rfl
variable {X} (f : X ⟶ F.left)
/-- Auxiliary definition for the action on maps of the functor `F.precomp f`.
It sends `0 ≤ 1` to `f` and `i + 1 ≤ j + 1` to `F.map' i j`. -/
def map : ∀ (i j : Fin (n + 1 + 1)) (_ : i ≤ j), obj F X i ⟶ obj F X j
| ⟨0, _⟩, ⟨0, _⟩, _ => 𝟙 X
| ⟨0, _⟩, ⟨1, _⟩, _ => f
| ⟨0, _⟩, ⟨j + 2, hj⟩, _ => f ≫ F.map' 0 (j + 1)
| ⟨i + 1, hi⟩, ⟨j + 1, hj⟩, hij => F.map' i j (by simpa using hij)
@[simp]
lemma map_zero_zero : map F f 0 0 (by simp) = 𝟙 X := rfl
@[simp]
lemma map_one_one : map F f 1 1 (by simp) = F.map (𝟙 _) := rfl
@[simp]
lemma map_zero_one : map F f 0 1 (by simp) = f := rfl
@[simp]
lemma map_zero_one' : map F f 0 ⟨0 + 1, by simp⟩ (by simp) = f := rfl
@[simp]
lemma map_zero_succ_succ (j : ℕ) (hj : j + 2 < n + 1 + 1) :
map F f 0 ⟨j + 2, hj⟩ (by simp) = f ≫ F.map' 0 (j+1) := rfl
@[simp]
lemma map_succ_succ (i j : ℕ) (hi : i + 1 < n + 1 + 1) (hj : j + 1 < n + 1 + 1)
(hij : i + 1 ≤ j + 1) :
map F f ⟨i + 1, hi⟩ ⟨j + 1, hj⟩ hij = F.map' i j := rfl
@[simp]
lemma map_one_succ (j : ℕ) (hj : j + 1 < n + 1 + 1) :
map F f 1 ⟨j + 1, hj⟩ (by simp [Fin.le_def]) = F.map' 0 j := rfl
lemma map_id (i : Fin (n + 1 + 1)) : map F f i i (by simp) = 𝟙 _ := by
obtain ⟨_|_, hi⟩ := i <;> simp
lemma map_comp {i j k : Fin (n + 1 + 1)} (hij : i ≤ j) (hjk : j ≤ k) :
map F f i k (hij.trans hjk) = map F f i j hij ≫ map F f j k hjk := by
obtain ⟨i, hi⟩ := i
obtain ⟨j, hj⟩ := j
obtain ⟨k, hk⟩ := k
cases i
· obtain _ | _ | j := j
· dsimp
rw [id_comp]
· obtain _ | _ | k := k
· simp [Nat.succ.injEq] at hjk
· simp
· rfl
· obtain _ | _ | k := k
· simp [Fin.ext_iff] at hjk
· simp [Fin.le_def] at hjk
omega
· dsimp
rw [assoc, ← F.map_comp, homOfLE_comp]
· obtain _ | j := j
· simp [Fin.ext_iff] at hij
· obtain _ | k := k
· simp [Fin.ext_iff] at hjk
· dsimp
rw [← F.map_comp, homOfLE_comp]
end Precomp
/-- "Precomposition" of `F : ComposableArrows C n` by a morphism `f : X ⟶ F.left`. -/
@[simps]
def precomp {X : C} (f : X ⟶ F.left) : ComposableArrows C (n + 1) where
obj := Precomp.obj F X
map g := Precomp.map F f _ _ (leOfHom g)
map_id := Precomp.map_id F f
map_comp g g' := Precomp.map_comp F f (leOfHom g) (leOfHom g')
/-- Constructor for `ComposableArrows C 2`. -/
@[simp]
def mk₂ {X₀ X₁ X₂ : C} (f : X₀ ⟶ X₁) (g : X₁ ⟶ X₂) : ComposableArrows C 2 :=
(mk₁ g).precomp f
/-- Constructor for `ComposableArrows C 3`. -/
@[simp]
def mk₃ {X₀ X₁ X₂ X₃ : C} (f : X₀ ⟶ X₁) (g : X₁ ⟶ X₂) (h : X₂ ⟶ X₃) : ComposableArrows C 3 :=
(mk₂ g h).precomp f
/-- Constructor for `ComposableArrows C 4`. -/
@[simp]
def mk₄ {X₀ X₁ X₂ X₃ X₄ : C} (f : X₀ ⟶ X₁) (g : X₁ ⟶ X₂) (h : X₂ ⟶ X₃) (i : X₃ ⟶ X₄) :
ComposableArrows C 4 :=
(mk₃ g h i).precomp f
/-- Constructor for `ComposableArrows C 5`. -/
@[simp]
def mk₅ {X₀ X₁ X₂ X₃ X₄ X₅ : C} (f : X₀ ⟶ X₁) (g : X₁ ⟶ X₂) (h : X₂ ⟶ X₃)
(i : X₃ ⟶ X₄) (j : X₄ ⟶ X₅) :
ComposableArrows C 5 :=
(mk₄ g h i j).precomp f
section
variable {X₀ X₁ X₂ X₃ X₄ : C} (f : X₀ ⟶ X₁) (g : X₁ ⟶ X₂) (h : X₂ ⟶ X₃) (i : X₃ ⟶ X₄)
/-! These examples are meant to test the good definitional properties of `precomp`,
and that `dsimp` can see through. -/
example : map' (mk₂ f g) 0 1 = f := by dsimp
example : map' (mk₂ f g) 1 2 = g := by dsimp
example : map' (mk₂ f g) 0 2 = f ≫ g := by dsimp
example : (mk₂ f g).hom = f ≫ g := by dsimp
example : map' (mk₂ f g) 0 0 = 𝟙 _ := by dsimp
example : map' (mk₂ f g) 1 1 = 𝟙 _ := by dsimp
example : map' (mk₂ f g) 2 2 = 𝟙 _ := by dsimp
example : map' (mk₃ f g h) 0 1 = f := by dsimp
example : map' (mk₃ f g h) 1 2 = g := by dsimp
example : map' (mk₃ f g h) 2 3 = h := by dsimp
example : map' (mk₃ f g h) 0 3 = f ≫ g ≫ h := by dsimp
example : (mk₃ f g h).hom = f ≫ g ≫ h := by dsimp
example : map' (mk₃ f g h) 0 2 = f ≫ g := by dsimp
example : map' (mk₃ f g h) 1 3 = g ≫ h := by dsimp
end
/-- The map `ComposableArrows C m → ComposableArrows C n` obtained by precomposition with
a functor `Fin (n + 1) ⥤ Fin (m + 1)`. -/
@[simps!]
def whiskerLeft (F : ComposableArrows C m) (Φ : Fin (n + 1) ⥤ Fin (m + 1)) :
ComposableArrows C n := Φ ⋙ F
/-- The functor `ComposableArrows C m ⥤ ComposableArrows C n` obtained by precomposition with
a functor `Fin (n + 1) ⥤ Fin (m + 1)`. -/
@[simps!]
def whiskerLeftFunctor (Φ : Fin (n + 1) ⥤ Fin (m + 1)) :
ComposableArrows C m ⥤ ComposableArrows C n where
obj F := F.whiskerLeft Φ
map f := CategoryTheory.whiskerLeft Φ f
/-- The functor `Fin n ⥤ Fin (n + 1)` which sends `i` to `i.succ`. -/
@[simps]
def _root_.Fin.succFunctor (n : ℕ) : Fin n ⥤ Fin (n + 1) where
obj i := i.succ
map {_ _} hij := homOfLE (Fin.succ_le_succ_iff.2 (leOfHom hij))
/-- The functor `ComposableArrows C (n + 1) ⥤ ComposableArrows C n` which forgets
the first arrow. -/
@[simps!]
def δ₀Functor : ComposableArrows C (n + 1) ⥤ ComposableArrows C n :=
whiskerLeftFunctor (Fin.succFunctor (n + 1))
/-- The `ComposableArrows C n` obtained by forgetting the first arrow. -/
abbrev δ₀ (F : ComposableArrows C (n + 1)) := δ₀Functor.obj F
@[simp]
lemma precomp_δ₀ {X : C} (f : X ⟶ F.left) : (F.precomp f).δ₀ = F := rfl
/-- The functor `Fin n ⥤ Fin (n + 1)` which sends `i` to `i.castSucc`. -/
@[simps]
def _root_.Fin.castSuccFunctor (n : ℕ) : Fin n ⥤ Fin (n + 1) where
obj i := i.castSucc
map hij := hij
/-- The functor `ComposableArrows C (n + 1) ⥤ ComposableArrows C n` which forgets
the last arrow. -/
@[simps!]
def δlastFunctor : ComposableArrows C (n + 1) ⥤ ComposableArrows C n :=
whiskerLeftFunctor (Fin.castSuccFunctor (n + 1))
/-- The `ComposableArrows C n` obtained by forgetting the first arrow. -/
abbrev δlast (F : ComposableArrows C (n + 1)) := δlastFunctor.obj F
section
variable {F G : ComposableArrows C (n + 1)}
/-- Inductive construction of morphisms in `ComposableArrows C (n + 1)`: in order to construct
a morphism `F ⟶ G`, it suffices to provide `α : F.obj' 0 ⟶ G.obj' 0` and `β : F.δ₀ ⟶ G.δ₀`
such that `F.map' 0 1 ≫ app' β 0 = α ≫ G.map' 0 1`. -/
def homMkSucc (α : F.obj' 0 ⟶ G.obj' 0) (β : F.δ₀ ⟶ G.δ₀)
(w : F.map' 0 1 ≫ app' β 0 = α ≫ G.map' 0 1) : F ⟶ G :=
homMk
(fun i => match i with
| ⟨0, _⟩ => α
| ⟨i + 1, hi⟩ => app' β i)
(fun i hi => by
obtain _ | i := i
· exact w
· exact naturality' β i (i + 1))
variable (α : F.obj' 0 ⟶ G.obj' 0) (β : F.δ₀ ⟶ G.δ₀)
(w : F.map' 0 1 ≫ app' β 0 = α ≫ G.map' 0 1)
@[simp]
lemma homMkSucc_app_zero : (homMkSucc α β w).app 0 = α := rfl
@[simp]
lemma homMkSucc_app_succ (i : ℕ) (hi : i + 1 < n + 1 + 1) :
(homMkSucc α β w).app ⟨i + 1, hi⟩ = app' β i := rfl
end
lemma hom_ext_succ {F G : ComposableArrows C (n + 1)} {f g : F ⟶ G}
(h₀ : app' f 0 = app' g 0) (h₁ : δ₀Functor.map f = δ₀Functor.map g) : f = g := by
ext ⟨i, hi⟩
obtain _ | i := i
· exact h₀
· exact congr_app h₁ ⟨i, by valid⟩
/-- Inductive construction of isomorphisms in `ComposableArrows C (n + 1)`: in order to
construct an isomorphism `F ≅ G`, it suffices to provide `α : F.obj' 0 ≅ G.obj' 0` and
`β : F.δ₀ ≅ G.δ₀` such that `F.map' 0 1 ≫ app' β.hom 0 = α.hom ≫ G.map' 0 1`. -/
@[simps]
def isoMkSucc {F G : ComposableArrows C (n + 1)} (α : F.obj' 0 ≅ G.obj' 0)
(β : F.δ₀ ≅ G.δ₀) (w : F.map' 0 1 ≫ app' β.hom 0 = α.hom ≫ G.map' 0 1) : F ≅ G where
hom := homMkSucc α.hom β.hom w
inv := homMkSucc α.inv β.inv (by
rw [← cancel_epi α.hom, ← reassoc_of% w, α.hom_inv_id_assoc, β.hom_inv_id_app]
dsimp
rw [comp_id])
hom_inv_id := by
apply hom_ext_succ
· simp
· ext ⟨i, hi⟩
simp
inv_hom_id := by
apply hom_ext_succ
· simp
· ext ⟨i, hi⟩
simp
lemma ext_succ {F G : ComposableArrows C (n + 1)} (h₀ : F.obj' 0 = G.obj' 0)
(h : F.δ₀ = G.δ₀) (w : F.map' 0 1 = eqToHom h₀ ≫ G.map' 0 1 ≫
eqToHom (Functor.congr_obj h.symm 0)) : F = G := by
have : ∀ i, F.obj i = G.obj i := by
intro ⟨i, hi⟩
rcases i with - | i
· exact h₀
· exact Functor.congr_obj h ⟨i, by valid⟩
exact Functor.ext_of_iso (isoMkSucc (eqToIso h₀) (eqToIso h) (by
rw [w]
dsimp [app']
rw [eqToHom_app, assoc, assoc, eqToHom_trans, eqToHom_refl, comp_id])) this
(by rintro ⟨_|_, hi⟩ <;> simp)
lemma precomp_surjective (F : ComposableArrows C (n + 1)) :
∃ (F₀ : ComposableArrows C n) (X₀ : C) (f₀ : X₀ ⟶ F₀.left), F = F₀.precomp f₀ :=
⟨F.δ₀, _, F.map' 0 1, ext_succ rfl (by simp) (by simp)⟩
section
variable
{f g : ComposableArrows C 2}
(app₀ : f.obj' 0 ⟶ g.obj' 0) (app₁ : f.obj' 1 ⟶ g.obj' 1) (app₂ : f.obj' 2 ⟶ g.obj' 2)
(w₀ : f.map' 0 1 ≫ app₁ = app₀ ≫ g.map' 0 1)
(w₁ : f.map' 1 2 ≫ app₂ = app₁ ≫ g.map' 1 2)
/-- Constructor for morphisms in `ComposableArrows C 2`. -/
def homMk₂ : f ⟶ g := homMkSucc app₀ (homMk₁ app₁ app₂ w₁) w₀
@[simp]
lemma homMk₂_app_zero : (homMk₂ app₀ app₁ app₂ w₀ w₁).app 0 = app₀ := rfl
@[simp]
lemma homMk₂_app_one : (homMk₂ app₀ app₁ app₂ w₀ w₁).app 1 = app₁ := rfl
@[simp]
lemma homMk₂_app_two : (homMk₂ app₀ app₁ app₂ w₀ w₁).app ⟨2, by valid⟩ = app₂ := rfl
end
@[ext]
lemma hom_ext₂ {f g : ComposableArrows C 2} {φ φ' : f ⟶ g}
(h₀ : app' φ 0 = app' φ' 0) (h₁ : app' φ 1 = app' φ' 1) (h₂ : app' φ 2 = app' φ' 2) :
φ = φ' :=
hom_ext_succ h₀ (hom_ext₁ h₁ h₂)
/-- Constructor for isomorphisms in `ComposableArrows C 2`. -/
@[simps]
def isoMk₂ {f g : ComposableArrows C 2}
(app₀ : f.obj' 0 ≅ g.obj' 0) (app₁ : f.obj' 1 ≅ g.obj' 1) (app₂ : f.obj' 2 ≅ g.obj' 2)
(w₀ : f.map' 0 1 ≫ app₁.hom = app₀.hom ≫ g.map' 0 1)
(w₁ : f.map' 1 2 ≫ app₂.hom = app₁.hom ≫ g.map' 1 2) : f ≅ g where
hom := homMk₂ app₀.hom app₁.hom app₂.hom w₀ w₁
inv := homMk₂ app₀.inv app₁.inv app₂.inv
(by rw [← cancel_epi app₀.hom, ← reassoc_of% w₀, app₁.hom_inv_id,
comp_id, app₀.hom_inv_id_assoc])
(by rw [← cancel_epi app₁.hom, ← reassoc_of% w₁, app₂.hom_inv_id,
comp_id, app₁.hom_inv_id_assoc])
lemma ext₂ {f g : ComposableArrows C 2}
(h₀ : f.obj' 0 = g.obj' 0) (h₁ : f.obj' 1 = g.obj' 1) (h₂ : f.obj' 2 = g.obj' 2)
(w₀ : f.map' 0 1 = eqToHom h₀ ≫ g.map' 0 1 ≫ eqToHom h₁.symm)
(w₁ : f.map' 1 2 = eqToHom h₁ ≫ g.map' 1 2 ≫ eqToHom h₂.symm) : f = g :=
ext_succ h₀ (ext₁ h₁ h₂ w₁) w₀
lemma mk₂_surjective (X : ComposableArrows C 2) :
∃ (X₀ X₁ X₂ : C) (f₀ : X₀ ⟶ X₁) (f₁ : X₁ ⟶ X₂), X = mk₂ f₀ f₁ :=
⟨_, _, _, X.map' 0 1, X.map' 1 2, ext₂ rfl rfl rfl (by simp) (by simp)⟩
section
variable
{f g : ComposableArrows C 3}
(app₀ : f.obj' 0 ⟶ g.obj' 0) (app₁ : f.obj' 1 ⟶ g.obj' 1) (app₂ : f.obj' 2 ⟶ g.obj' 2)
(app₃ : f.obj' 3 ⟶ g.obj' 3)
(w₀ : f.map' 0 1 ≫ app₁ = app₀ ≫ g.map' 0 1)
(w₁ : f.map' 1 2 ≫ app₂ = app₁ ≫ g.map' 1 2)
(w₂ : f.map' 2 3 ≫ app₃ = app₂ ≫ g.map' 2 3)
/-- Constructor for morphisms in `ComposableArrows C 3`. -/
def homMk₃ : f ⟶ g := homMkSucc app₀ (homMk₂ app₁ app₂ app₃ w₁ w₂) w₀
@[simp]
lemma homMk₃_app_zero : (homMk₃ app₀ app₁ app₂ app₃ w₀ w₁ w₂).app 0 = app₀ := rfl
@[simp]
lemma homMk₃_app_one : (homMk₃ app₀ app₁ app₂ app₃ w₀ w₁ w₂).app 1 = app₁ := rfl
@[simp]
lemma homMk₃_app_two : (homMk₃ app₀ app₁ app₂ app₃ w₀ w₁ w₂).app ⟨2, by valid⟩ = app₂ :=
rfl
@[simp]
lemma homMk₃_app_three : (homMk₃ app₀ app₁ app₂ app₃ w₀ w₁ w₂).app ⟨3, by valid⟩ = app₃ :=
rfl
end
@[ext]
lemma hom_ext₃ {f g : ComposableArrows C 3} {φ φ' : f ⟶ g}
(h₀ : app' φ 0 = app' φ' 0) (h₁ : app' φ 1 = app' φ' 1) (h₂ : app' φ 2 = app' φ' 2)
(h₃ : app' φ 3 = app' φ' 3) :
φ = φ' :=
hom_ext_succ h₀ (hom_ext₂ h₁ h₂ h₃)
/-- Constructor for isomorphisms in `ComposableArrows C 3`. -/
@[simps]
def isoMk₃ {f g : ComposableArrows C 3}
(app₀ : f.obj' 0 ≅ g.obj' 0) (app₁ : f.obj' 1 ≅ g.obj' 1) (app₂ : f.obj' 2 ≅ g.obj' 2)
(app₃ : f.obj' 3 ≅ g.obj' 3)
(w₀ : f.map' 0 1 ≫ app₁.hom = app₀.hom ≫ g.map' 0 1)
(w₁ : f.map' 1 2 ≫ app₂.hom = app₁.hom ≫ g.map' 1 2)
(w₂ : f.map' 2 3 ≫ app₃.hom = app₂.hom ≫ g.map' 2 3) : f ≅ g where
hom := homMk₃ app₀.hom app₁.hom app₂.hom app₃.hom w₀ w₁ w₂
inv := homMk₃ app₀.inv app₁.inv app₂.inv app₃.inv
(by rw [← cancel_epi app₀.hom, ← reassoc_of% w₀, app₁.hom_inv_id,
comp_id, app₀.hom_inv_id_assoc])
(by rw [← cancel_epi app₁.hom, ← reassoc_of% w₁, app₂.hom_inv_id,
comp_id, app₁.hom_inv_id_assoc])
(by rw [← cancel_epi app₂.hom, ← reassoc_of% w₂, app₃.hom_inv_id,
comp_id, app₂.hom_inv_id_assoc])
lemma ext₃ {f g : ComposableArrows C 3}
(h₀ : f.obj' 0 = g.obj' 0) (h₁ : f.obj' 1 = g.obj' 1) (h₂ : f.obj' 2 = g.obj' 2)
(h₃ : f.obj' 3 = g.obj' 3)
(w₀ : f.map' 0 1 = eqToHom h₀ ≫ g.map' 0 1 ≫ eqToHom h₁.symm)
(w₁ : f.map' 1 2 = eqToHom h₁ ≫ g.map' 1 2 ≫ eqToHom h₂.symm)
(w₂ : f.map' 2 3 = eqToHom h₂ ≫ g.map' 2 3 ≫ eqToHom h₃.symm) : f = g :=
ext_succ h₀ (ext₂ h₁ h₂ h₃ w₁ w₂) w₀
lemma mk₃_surjective (X : ComposableArrows C 3) :
∃ (X₀ X₁ X₂ X₃ : C) (f₀ : X₀ ⟶ X₁) (f₁ : X₁ ⟶ X₂) (f₂ : X₂ ⟶ X₃), X = mk₃ f₀ f₁ f₂ :=
⟨_, _, _, _, X.map' 0 1, X.map' 1 2, X.map' 2 3,
ext₃ rfl rfl rfl rfl (by simp) (by simp) (by simp)⟩
section
variable
{f g : ComposableArrows C 4}
(app₀ : f.obj' 0 ⟶ g.obj' 0) (app₁ : f.obj' 1 ⟶ g.obj' 1) (app₂ : f.obj' 2 ⟶ g.obj' 2)
(app₃ : f.obj' 3 ⟶ g.obj' 3) (app₄ : f.obj' 4 ⟶ g.obj' 4)
(w₀ : f.map' 0 1 ≫ app₁ = app₀ ≫ g.map' 0 1)
(w₁ : f.map' 1 2 ≫ app₂ = app₁ ≫ g.map' 1 2)
(w₂ : f.map' 2 3 ≫ app₃ = app₂ ≫ g.map' 2 3)
(w₃ : f.map' 3 4 ≫ app₄ = app₃ ≫ g.map' 3 4)
/-- Constructor for morphisms in `ComposableArrows C 4`. -/
def homMk₄ : f ⟶ g := homMkSucc app₀ (homMk₃ app₁ app₂ app₃ app₄ w₁ w₂ w₃) w₀
@[simp]
lemma homMk₄_app_zero : (homMk₄ app₀ app₁ app₂ app₃ app₄ w₀ w₁ w₂ w₃).app 0 = app₀ := rfl
@[simp]
lemma homMk₄_app_one : (homMk₄ app₀ app₁ app₂ app₃ app₄ w₀ w₁ w₂ w₃).app 1 = app₁ := rfl
@[simp]
lemma homMk₄_app_two :
(homMk₄ app₀ app₁ app₂ app₃ app₄ w₀ w₁ w₂ w₃).app ⟨2, by valid⟩ = app₂ := rfl
@[simp]
lemma homMk₄_app_three :
(homMk₄ app₀ app₁ app₂ app₃ app₄ w₀ w₁ w₂ w₃).app ⟨3, by valid⟩ = app₃ := rfl
@[simp]
lemma homMk₄_app_four :
(homMk₄ app₀ app₁ app₂ app₃ app₄ w₀ w₁ w₂ w₃).app ⟨4, by valid⟩ = app₄ := rfl
end
@[ext]
lemma hom_ext₄ {f g : ComposableArrows C 4} {φ φ' : f ⟶ g}
| (h₀ : app' φ 0 = app' φ' 0) (h₁ : app' φ 1 = app' φ' 1) (h₂ : app' φ 2 = app' φ' 2)
(h₃ : app' φ 3 = app' φ' 3) (h₄ : app' φ 4 = app' φ' 4) :
φ = φ' :=
| Mathlib/CategoryTheory/ComposableArrows.lean | 703 | 705 |
/-
Copyright (c) 2019 Oliver Nash. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Oliver Nash
-/
import Mathlib.Algebra.BigOperators.Ring.Finset
import Mathlib.Algebra.Module.Submodule.Equiv
import Mathlib.Algebra.Module.Equiv.Basic
import Mathlib.Algebra.Module.Rat
import Mathlib.Data.Bracket
import Mathlib.Tactic.Abel
/-!
# Lie algebras
This file defines Lie rings and Lie algebras over a commutative ring together with their
modules, morphisms and equivalences, as well as various lemmas to make these definitions usable.
## Main definitions
* `LieRing`
* `LieAlgebra`
* `LieRingModule`
* `LieModule`
* `LieHom`
* `LieEquiv`
* `LieModuleHom`
* `LieModuleEquiv`
## Notation
Working over a fixed commutative ring `R`, we introduce the notations:
* `L →ₗ⁅R⁆ L'` for a morphism of Lie algebras,
* `L ≃ₗ⁅R⁆ L'` for an equivalence of Lie algebras,
* `M →ₗ⁅R,L⁆ N` for a morphism of Lie algebra modules `M`, `N` over a Lie algebra `L`,
* `M ≃ₗ⁅R,L⁆ N` for an equivalence of Lie algebra modules `M`, `N` over a Lie algebra `L`.
## Implementation notes
Lie algebras are defined as modules with a compatible Lie ring structure and thus, like modules,
are partially unbundled.
## References
* [N. Bourbaki, *Lie Groups and Lie Algebras, Chapters 1--3*](bourbaki1975)
## Tags
lie bracket, jacobi identity, lie ring, lie algebra, lie module
-/
universe u v w w₁ w₂
open Function
/-- A Lie ring is an additive group with compatible product, known as the bracket, satisfying the
Jacobi identity. -/
class LieRing (L : Type v) extends AddCommGroup L, Bracket L L where
/-- A Lie ring bracket is additive in its first component. -/
protected add_lie : ∀ x y z : L, ⁅x + y, z⁆ = ⁅x, z⁆ + ⁅y, z⁆
/-- A Lie ring bracket is additive in its second component. -/
protected lie_add : ∀ x y z : L, ⁅x, y + z⁆ = ⁅x, y⁆ + ⁅x, z⁆
/-- A Lie ring bracket vanishes on the diagonal in L × L. -/
protected lie_self : ∀ x : L, ⁅x, x⁆ = 0
/-- A Lie ring bracket satisfies a Leibniz / Jacobi identity. -/
protected leibniz_lie : ∀ x y z : L, ⁅x, ⁅y, z⁆⁆ = ⁅⁅x, y⁆, z⁆ + ⁅y, ⁅x, z⁆⁆
/-- A Lie algebra is a module with compatible product, known as the bracket, satisfying the Jacobi
identity. Forgetting the scalar multiplication, every Lie algebra is a Lie ring. -/
@[ext] class LieAlgebra (R : Type u) (L : Type v) [CommRing R] [LieRing L] extends Module R L where
/-- A Lie algebra bracket is compatible with scalar multiplication in its second argument.
The compatibility in the first argument is not a class property, but follows since every
Lie algebra has a natural Lie module action on itself, see `LieModule`. -/
protected lie_smul : ∀ (t : R) (x y : L), ⁅x, t • y⁆ = t • ⁅x, y⁆
/-- A Lie ring module is an additive group, together with an additive action of a
Lie ring on this group, such that the Lie bracket acts as the commutator of endomorphisms.
(For representations of Lie *algebras* see `LieModule`.) -/
class LieRingModule (L : Type v) (M : Type w) [LieRing L] [AddCommGroup M] extends Bracket L M where
/-- A Lie ring module bracket is additive in its first component. -/
protected add_lie : ∀ (x y : L) (m : M), ⁅x + y, m⁆ = ⁅x, m⁆ + ⁅y, m⁆
/-- A Lie ring module bracket is additive in its second component. -/
protected lie_add : ∀ (x : L) (m n : M), ⁅x, m + n⁆ = ⁅x, m⁆ + ⁅x, n⁆
/-- A Lie ring module bracket satisfies a Leibniz / Jacobi identity. -/
protected leibniz_lie : ∀ (x y : L) (m : M), ⁅x, ⁅y, m⁆⁆ = ⁅⁅x, y⁆, m⁆ + ⁅y, ⁅x, m⁆⁆
/-- A Lie module is a module over a commutative ring, together with a linear action of a Lie
algebra on this module, such that the Lie bracket acts as the commutator of endomorphisms. -/
class LieModule (R : Type u) (L : Type v) (M : Type w) [CommRing R] [LieRing L] [LieAlgebra R L]
[AddCommGroup M] [Module R M] [LieRingModule L M] : Prop where
/-- A Lie module bracket is compatible with scalar multiplication in its first argument. -/
protected smul_lie : ∀ (t : R) (x : L) (m : M), ⁅t • x, m⁆ = t • ⁅x, m⁆
/-- A Lie module bracket is compatible with scalar multiplication in its second argument. -/
protected lie_smul : ∀ (t : R) (x : L) (m : M), ⁅x, t • m⁆ = t • ⁅x, m⁆
/-- A tower of Lie bracket actions encapsulates the Leibniz rule for Lie bracket actions.
More precisely, it does so in a relative setting:
Let `L₁` and `L₂` be two types with Lie bracket actions on a type `M` endowed with an addition,
and additionally assume a Lie bracket action of `L₁` on `L₂`.
Then the Leibniz rule asserts for all `x : L₁`, `y : L₂`, and `m : M` that
`⁅x, ⁅y, m⁆⁆ = ⁅⁅x, y⁆, m⁆ + ⁅y, ⁅x, m⁆⁆` holds.
Common examples include the case where `L₁` is a Lie subalgebra of `L₂`
and the case where `L₂` is a Lie ideal of `L₁`. -/
class IsLieTower (L₁ L₂ M : Type*) [Bracket L₁ L₂] [Bracket L₁ M] [Bracket L₂ M] [Add M] where
protected leibniz_lie (x : L₁) (y : L₂) (m : M) : ⁅x, ⁅y, m⁆⁆ = ⁅⁅x, y⁆, m⁆ + ⁅y, ⁅x, m⁆⁆
section IsLieTower
variable {L₁ L₂ M : Type*} [Bracket L₁ L₂] [Bracket L₁ M] [Bracket L₂ M]
lemma leibniz_lie [Add M] [IsLieTower L₁ L₂ M] (x : L₁) (y : L₂) (m : M) :
⁅x, ⁅y, m⁆⁆ = ⁅⁅x, y⁆, m⁆ + ⁅y, ⁅x, m⁆⁆ := IsLieTower.leibniz_lie x y m
lemma lie_swap_lie [Bracket L₂ L₁] [AddCommGroup M] [IsLieTower L₁ L₂ M] [IsLieTower L₂ L₁ M]
(x : L₁) (y : L₂) (m : M) : ⁅⁅x, y⁆, m⁆ = -⁅⁅y, x⁆, m⁆ := by
have h1 := leibniz_lie x y m
have h2 := leibniz_lie y x m
convert congr($h1.symm - $h2) using 1 <;> simp only [add_sub_cancel_right, sub_add_cancel_right]
end IsLieTower
section BasicProperties
theorem LieAlgebra.toModule_injective (L : Type*) [LieRing L] :
Function.Injective (@LieAlgebra.toModule _ _ _ _ : LieAlgebra ℚ L → Module ℚ L) := by
rintro ⟨h₁⟩ ⟨h₂⟩ heq
congr
instance (L : Type*) [LieRing L] : Subsingleton (LieAlgebra ℚ L) :=
LieAlgebra.toModule_injective L |>.subsingleton
variable {R : Type u} {L : Type v} {M : Type w} {N : Type w₁}
variable [CommRing R] [LieRing L] [LieAlgebra R L]
variable [AddCommGroup M] [Module R M] [LieRingModule L M] [LieModule R L M]
variable [AddCommGroup N] [Module R N] [LieRingModule L N] [LieModule R L N]
variable (t : R) (x y z : L) (m n : M)
@[simp]
theorem add_lie : ⁅x + y, m⁆ = ⁅x, m⁆ + ⁅y, m⁆ :=
LieRingModule.add_lie x y m
@[simp]
theorem lie_add : ⁅x, m + n⁆ = ⁅x, m⁆ + ⁅x, n⁆ :=
LieRingModule.lie_add x m n
@[simp]
theorem smul_lie : ⁅t • x, m⁆ = t • ⁅x, m⁆ :=
LieModule.smul_lie t x m
@[simp]
theorem lie_smul : ⁅x, t • m⁆ = t • ⁅x, m⁆ :=
LieModule.lie_smul t x m
instance : IsLieTower L L M where
leibniz_lie x y m := LieRingModule.leibniz_lie x y m
@[simp]
theorem lie_zero : ⁅x, 0⁆ = (0 : M) :=
(AddMonoidHom.mk' _ (lie_add x)).map_zero
@[simp]
theorem zero_lie : ⁅(0 : L), m⁆ = 0 :=
(AddMonoidHom.mk' (fun x : L => ⁅x, m⁆) fun x y => add_lie x y m).map_zero
@[simp]
theorem lie_self : ⁅x, x⁆ = 0 :=
LieRing.lie_self x
instance lieRingSelfModule : LieRingModule L L :=
{ (inferInstance : LieRing L) with }
@[simp]
theorem lie_skew : -⁅y, x⁆ = ⁅x, y⁆ := by
have h : ⁅x + y, x⁆ + ⁅x + y, y⁆ = 0 := by rw [← lie_add]; apply lie_self
simpa [neg_eq_iff_add_eq_zero] using h
/-- Every Lie algebra is a module over itself. -/
instance lieAlgebraSelfModule : LieModule R L L where
smul_lie t x m := by rw [← lie_skew, ← lie_skew x m, LieAlgebra.lie_smul, smul_neg]
lie_smul := by apply LieAlgebra.lie_smul
@[simp]
theorem neg_lie : ⁅-x, m⁆ = -⁅x, m⁆ := by
rw [← sub_eq_zero, sub_neg_eq_add, ← add_lie]
simp
@[simp]
theorem lie_neg : ⁅x, -m⁆ = -⁅x, m⁆ := by
rw [← sub_eq_zero, sub_neg_eq_add, ← lie_add]
simp
@[simp]
theorem sub_lie : ⁅x - y, m⁆ = ⁅x, m⁆ - ⁅y, m⁆ := by simp [sub_eq_add_neg]
@[simp]
theorem lie_sub : ⁅x, m - n⁆ = ⁅x, m⁆ - ⁅x, n⁆ := by simp [sub_eq_add_neg]
@[simp]
theorem nsmul_lie (n : ℕ) : ⁅n • x, m⁆ = n • ⁅x, m⁆ :=
AddMonoidHom.map_nsmul
{ toFun := fun x : L => ⁅x, m⁆, map_zero' := zero_lie m, map_add' := fun _ _ => add_lie _ _ _ }
_ _
@[simp]
theorem lie_nsmul (n : ℕ) : ⁅x, n • m⁆ = n • ⁅x, m⁆ :=
AddMonoidHom.map_nsmul
{ toFun := fun m : M => ⁅x, m⁆, map_zero' := lie_zero x, map_add' := fun _ _ => lie_add _ _ _}
_ _
theorem zsmul_lie (a : ℤ) : ⁅a • x, m⁆ = a • ⁅x, m⁆ :=
AddMonoidHom.map_zsmul
{ toFun := fun x : L => ⁅x, m⁆, map_zero' := zero_lie m, map_add' := fun _ _ => add_lie _ _ _ }
_ _
theorem lie_zsmul (a : ℤ) : ⁅x, a • m⁆ = a • ⁅x, m⁆ :=
AddMonoidHom.map_zsmul
{ toFun := fun m : M => ⁅x, m⁆, map_zero' := lie_zero x, map_add' := fun _ _ => lie_add _ _ _ }
_ _
@[simp]
lemma lie_lie : ⁅⁅x, y⁆, m⁆ = ⁅x, ⁅y, m⁆⁆ - ⁅y, ⁅x, m⁆⁆ := by rw [leibniz_lie, add_sub_cancel_right]
theorem lie_jacobi : ⁅x, ⁅y, z⁆⁆ + ⁅y, ⁅z, x⁆⁆ + ⁅z, ⁅x, y⁆⁆ = 0 := by
rw [← neg_neg ⁅x, y⁆, lie_neg z, lie_skew y x, ← lie_skew, lie_lie]
abel
instance LieRing.instLieAlgebra : LieAlgebra ℤ L where lie_smul n x y := lie_zsmul x y n
instance : LieModule ℤ L M where
smul_lie n x m := zsmul_lie x m n
lie_smul n x m := lie_zsmul x m n
instance LinearMap.instLieRingModule : LieRingModule L (M →ₗ[R] N) where
bracket x f :=
{ toFun := fun m => ⁅x, f m⁆ - f ⁅x, m⁆
map_add' := fun m n => by
simp only [lie_add, LinearMap.map_add]
abel
map_smul' := fun t m => by
simp only [smul_sub, LinearMap.map_smul, lie_smul, RingHom.id_apply] }
add_lie x y f := by
ext n
simp only [add_lie, LinearMap.coe_mk, AddHom.coe_mk, LinearMap.add_apply, LinearMap.map_add]
abel
lie_add x f g := by
ext n
simp only [LinearMap.coe_mk, AddHom.coe_mk, lie_add, LinearMap.add_apply]
abel
leibniz_lie x y f := by
ext n
simp only [lie_lie, LinearMap.coe_mk, AddHom.coe_mk, LinearMap.map_sub, LinearMap.add_apply,
lie_sub]
abel
@[simp]
theorem LieHom.lie_apply (f : M →ₗ[R] N) (x : L) (m : M) : ⁅x, f⁆ m = ⁅x, f m⁆ - f ⁅x, m⁆ :=
rfl
instance LinearMap.instLieModule : LieModule R L (M →ₗ[R] N) where
smul_lie t x f := by
ext n
simp only [smul_sub, smul_lie, LinearMap.smul_apply, LieHom.lie_apply, LinearMap.map_smul]
lie_smul t x f := by
ext n
simp only [smul_sub, LinearMap.smul_apply, LieHom.lie_apply, lie_smul]
/-- We could avoid defining this by instead defining a `LieRingModule L R` instance with a zero
bracket and relying on `LinearMap.instLieRingModule`. We do not do this because in the case that
`L = R` we would have a non-defeq diamond via `Ring.instBracket`. -/
instance Module.Dual.instLieRingModule : LieRingModule L (M →ₗ[R] R) where
bracket := fun x f ↦
{ toFun := fun m ↦ - f ⁅x, m⁆
map_add' := by simp [-neg_add_rev, neg_add]
map_smul' := by simp }
add_lie := fun x y m ↦ by ext n; simp [-neg_add_rev, neg_add]
lie_add := fun x m n ↦ by ext p; simp [-neg_add_rev, neg_add]
leibniz_lie := fun x m n ↦ by ext p; simp
@[simp] lemma Module.Dual.lie_apply (f : M →ₗ[R] R) : ⁅x, f⁆ m = - f ⁅x, m⁆ := rfl
instance Module.Dual.instLieModule : LieModule R L (M →ₗ[R] R) where
smul_lie := fun t x m ↦ by ext n; simp
lie_smul := fun t x m ↦ by ext n; simp
variable (L) in
/-- It is sometimes useful to regard a `LieRing` as a `NonUnitalNonAssocRing`. -/
def LieRing.toNonUnitalNonAssocRing : NonUnitalNonAssocRing L :=
{ mul := Bracket.bracket
left_distrib := lie_add
right_distrib := add_lie
zero_mul := zero_lie
mul_zero := lie_zero }
variable {ι κ : Type*}
theorem sum_lie (s : Finset ι) (f : ι → L) (a : L) : ⁅∑ i ∈ s, f i, a⁆ = ∑ i ∈ s, ⁅f i, a⁆ :=
let _i := LieRing.toNonUnitalNonAssocRing L
s.sum_mul f a
theorem lie_sum (s : Finset ι) (f : ι → L) (a : L) : ⁅a, ∑ i ∈ s, f i⁆ = ∑ i ∈ s, ⁅a, f i⁆ :=
let _i := LieRing.toNonUnitalNonAssocRing L
s.mul_sum f a
theorem sum_lie_sum {κ : Type*} (s : Finset ι) (t : Finset κ) (f : ι → L) (g : κ → L) :
⁅(∑ i ∈ s, f i), ∑ j ∈ t, g j⁆ = ∑ i ∈ s, ∑ j ∈ t, ⁅f i, g j⁆ :=
let _i := LieRing.toNonUnitalNonAssocRing L
s.sum_mul_sum t f g
end BasicProperties
/-- A morphism of Lie algebras (denoted as `L₁ →ₗ⁅R⁆ L₂`)
is a linear map respecting the bracket operations. -/
structure LieHom (R L L' : Type*) [CommRing R] [LieRing L] [LieAlgebra R L]
[LieRing L'] [LieAlgebra R L'] extends L →ₗ[R] L' where
/-- A morphism of Lie algebras is compatible with brackets. -/
map_lie' : ∀ {x y : L}, toFun ⁅x, y⁆ = ⁅toFun x, toFun y⁆
@[inherit_doc]
notation:25 L " →ₗ⁅" R:25 "⁆ " L':0 => LieHom R L L'
namespace LieHom
variable {R : Type u} {L₁ : Type v} {L₂ : Type w} {L₃ : Type w₁}
variable [CommRing R]
variable [LieRing L₁] [LieAlgebra R L₁]
variable [LieRing L₂] [LieAlgebra R L₂]
variable [LieRing L₃] [LieAlgebra R L₃]
attribute [coe] LieHom.toLinearMap
instance : Coe (L₁ →ₗ⁅R⁆ L₂) (L₁ →ₗ[R] L₂) :=
⟨LieHom.toLinearMap⟩
instance : FunLike (L₁ →ₗ⁅R⁆ L₂) L₁ L₂ where
coe f := f.toFun
coe_injective' x y h := by
cases x; cases y; simp at h; simp [h]
initialize_simps_projections LieHom (toFun → apply)
@[simp, norm_cast]
theorem coe_toLinearMap (f : L₁ →ₗ⁅R⁆ L₂) : ⇑(f : L₁ →ₗ[R] L₂) = f :=
rfl
@[simp]
theorem toFun_eq_coe (f : L₁ →ₗ⁅R⁆ L₂) : f.toFun = ⇑f :=
rfl
@[simp]
theorem map_smul (f : L₁ →ₗ⁅R⁆ L₂) (c : R) (x : L₁) : f (c • x) = c • f x :=
LinearMap.map_smul (f : L₁ →ₗ[R] L₂) c x
@[simp]
theorem map_add (f : L₁ →ₗ⁅R⁆ L₂) (x y : L₁) : f (x + y) = f x + f y :=
LinearMap.map_add (f : L₁ →ₗ[R] L₂) x y
@[simp]
theorem map_sub (f : L₁ →ₗ⁅R⁆ L₂) (x y : L₁) : f (x - y) = f x - f y :=
LinearMap.map_sub (f : L₁ →ₗ[R] L₂) x y
@[simp]
theorem map_neg (f : L₁ →ₗ⁅R⁆ L₂) (x : L₁) : f (-x) = -f x :=
LinearMap.map_neg (f : L₁ →ₗ[R] L₂) x
@[simp]
theorem map_lie (f : L₁ →ₗ⁅R⁆ L₂) (x y : L₁) : f ⁅x, y⁆ = ⁅f x, f y⁆ :=
LieHom.map_lie' f
@[simp]
theorem map_zero (f : L₁ →ₗ⁅R⁆ L₂) : f 0 = 0 :=
(f : L₁ →ₗ[R] L₂).map_zero
/-- The identity map is a morphism of Lie algebras. -/
def id : L₁ →ₗ⁅R⁆ L₁ :=
{ (LinearMap.id : L₁ →ₗ[R] L₁) with map_lie' := rfl }
@[simp, norm_cast]
theorem coe_id : ⇑(id : L₁ →ₗ⁅R⁆ L₁) = _root_.id :=
rfl
theorem id_apply (x : L₁) : (id : L₁ →ₗ⁅R⁆ L₁) x = x :=
rfl
/-- The constant 0 map is a Lie algebra morphism. -/
instance : Zero (L₁ →ₗ⁅R⁆ L₂) :=
⟨{ (0 : L₁ →ₗ[R] L₂) with map_lie' := by simp }⟩
@[norm_cast, simp]
theorem coe_zero : ((0 : L₁ →ₗ⁅R⁆ L₂) : L₁ → L₂) = 0 :=
rfl
theorem zero_apply (x : L₁) : (0 : L₁ →ₗ⁅R⁆ L₂) x = 0 :=
rfl
/-- The identity map is a Lie algebra morphism. -/
instance : One (L₁ →ₗ⁅R⁆ L₁) :=
⟨id⟩
@[simp]
theorem coe_one : ((1 : L₁ →ₗ⁅R⁆ L₁) : L₁ → L₁) = _root_.id :=
rfl
theorem one_apply (x : L₁) : (1 : L₁ →ₗ⁅R⁆ L₁) x = x :=
rfl
instance : Inhabited (L₁ →ₗ⁅R⁆ L₂) :=
⟨0⟩
theorem coe_injective : @Function.Injective (L₁ →ₗ⁅R⁆ L₂) (L₁ → L₂) (↑) := by
rintro ⟨⟨⟨f, _⟩, _⟩, _⟩ ⟨⟨⟨g, _⟩, _⟩, _⟩ h
congr
@[ext]
theorem ext {f g : L₁ →ₗ⁅R⁆ L₂} (h : ∀ x, f x = g x) : f = g :=
coe_injective <| funext h
theorem congr_fun {f g : L₁ →ₗ⁅R⁆ L₂} (h : f = g) (x : L₁) : f x = g x :=
h ▸ rfl
@[simp]
theorem mk_coe (f : L₁ →ₗ⁅R⁆ L₂) (h₁ h₂ h₃) : (⟨⟨⟨f, h₁⟩, h₂⟩, h₃⟩ : L₁ →ₗ⁅R⁆ L₂) = f := by
ext
rfl
@[simp]
theorem coe_mk (f : L₁ → L₂) (h₁ h₂ h₃) : ((⟨⟨⟨f, h₁⟩, h₂⟩, h₃⟩ : L₁ →ₗ⁅R⁆ L₂) : L₁ → L₂) = f :=
rfl
/-- The composition of morphisms is a morphism. -/
def comp (f : L₂ →ₗ⁅R⁆ L₃) (g : L₁ →ₗ⁅R⁆ L₂) : L₁ →ₗ⁅R⁆ L₃ :=
{ LinearMap.comp f.toLinearMap g.toLinearMap with
map_lie' := by
intros x y
simp }
theorem comp_apply (f : L₂ →ₗ⁅R⁆ L₃) (g : L₁ →ₗ⁅R⁆ L₂) (x : L₁) : f.comp g x = f (g x) :=
rfl
@[norm_cast, simp]
theorem coe_comp (f : L₂ →ₗ⁅R⁆ L₃) (g : L₁ →ₗ⁅R⁆ L₂) : (f.comp g : L₁ → L₃) = f ∘ g :=
rfl
@[norm_cast, simp]
| theorem toLinearMap_comp (f : L₂ →ₗ⁅R⁆ L₃) (g : L₁ →ₗ⁅R⁆ L₂) :
(f.comp g : L₁ →ₗ[R] L₃) = (f : L₂ →ₗ[R] L₃).comp (g : L₁ →ₗ[R] L₂) :=
rfl
| Mathlib/Algebra/Lie/Basic.lean | 447 | 449 |
/-
Copyright (c) 2021 Thomas Browning. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Thomas Browning
-/
import Mathlib.Topology.PartialHomeomorph
import Mathlib.Topology.SeparatedMap
/-!
# Local homeomorphisms
This file defines local homeomorphisms.
## Main definitions
For a function `f : X → Y ` between topological spaces, we say
* `IsLocalHomeomorphOn f s` if `f` is a local homeomorphism around each point of `s`: for each
`x : X`, the restriction of `f` to some open neighborhood `U` of `x` gives a homeomorphism
between `U` and an open subset of `Y`.
* `IsLocalHomeomorph f`: `f` is a local homeomorphism, i.e. it's a local homeomorphism on `univ`.
Note that `IsLocalHomeomorph` is a global condition. This is in contrast to
`PartialHomeomorph`, which is a homeomorphism between specific open subsets.
## Main results
* local homeomorphisms are locally injective open maps
* more!
-/
open Topology
variable {X Y Z : Type*} [TopologicalSpace X] [TopologicalSpace Y] [TopologicalSpace Z] (g : Y → Z)
(f : X → Y) (s : Set X) (t : Set Y)
/-- A function `f : X → Y` satisfies `IsLocalHomeomorphOn f s` if each `x ∈ s` is contained in
the source of some `e : PartialHomeomorph X Y` with `f = e`. -/
def IsLocalHomeomorphOn :=
∀ x ∈ s, ∃ e : PartialHomeomorph X Y, x ∈ e.source ∧ f = e
theorem isLocalHomeomorphOn_iff_isOpenEmbedding_restrict {f : X → Y} :
IsLocalHomeomorphOn f s ↔ ∀ x ∈ s, ∃ U ∈ 𝓝 x, IsOpenEmbedding (U.restrict f) := by
refine ⟨fun h x hx ↦ ?_, fun h x hx ↦ ?_⟩
· obtain ⟨e, hxe, rfl⟩ := h x hx
exact ⟨e.source, e.open_source.mem_nhds hxe, e.isOpenEmbedding_restrict⟩
· obtain ⟨U, hU, emb⟩ := h x hx
have : IsOpenEmbedding ((interior U).restrict f) := by
refine emb.comp ⟨.inclusion interior_subset, ?_⟩
rw [Set.range_inclusion]; exact isOpen_induced isOpen_interior
obtain ⟨cont, inj, openMap⟩ := isOpenEmbedding_iff_continuous_injective_isOpenMap.mp this
haveI : Nonempty X := ⟨x⟩
exact ⟨PartialHomeomorph.ofContinuousOpenRestrict
(Set.injOn_iff_injective.mpr inj).toPartialEquiv
(continuousOn_iff_continuous_restrict.mpr cont) openMap isOpen_interior,
mem_interior_iff_mem_nhds.mpr hU, rfl⟩
namespace IsLocalHomeomorphOn
/-- Proves that `f` satisfies `IsLocalHomeomorphOn f s`. The condition `h` is weaker than the
definition of `IsLocalHomeomorphOn f s`, since it only requires `e : PartialHomeomorph X Y` to
agree with `f` on its source `e.source`, as opposed to on the whole space `X`. -/
theorem mk (h : ∀ x ∈ s, ∃ e : PartialHomeomorph X Y, x ∈ e.source ∧ Set.EqOn f e e.source) :
IsLocalHomeomorphOn f s := by
intro x hx
obtain ⟨e, hx, he⟩ := h x hx
exact
⟨{ e with
toFun := f
map_source' := fun _x hx ↦ by rw [he hx]; exact e.map_source' hx
left_inv' := fun _x hx ↦ by rw [he hx]; exact e.left_inv' hx
right_inv' := fun _y hy ↦ by rw [he (e.map_target' hy)]; exact e.right_inv' hy
continuousOn_toFun := (continuousOn_congr he).mpr e.continuousOn_toFun },
hx, rfl⟩
/-- A `PartialHomeomorph` is a local homeomorphism on its source. -/
lemma PartialHomeomorph.isLocalHomeomorphOn (e : PartialHomeomorph X Y) :
IsLocalHomeomorphOn e e.source :=
fun _ hx ↦ ⟨e, hx, rfl⟩
variable {g f s t}
theorem mono {t : Set X} (hf : IsLocalHomeomorphOn f t) (hst : s ⊆ t) : IsLocalHomeomorphOn f s :=
fun x hx ↦ hf x (hst hx)
theorem of_comp_left (hgf : IsLocalHomeomorphOn (g ∘ f) s) (hg : IsLocalHomeomorphOn g (f '' s))
(cont : ∀ x ∈ s, ContinuousAt f x) : IsLocalHomeomorphOn f s := mk f s fun x hx ↦ by
obtain ⟨g, hxg, rfl⟩ := hg (f x) ⟨x, hx, rfl⟩
obtain ⟨gf, hgf, he⟩ := hgf x hx
refine ⟨(gf.restr <| f ⁻¹' g.source).trans g.symm, ⟨⟨hgf, mem_interior_iff_mem_nhds.mpr
((cont x hx).preimage_mem_nhds <| g.open_source.mem_nhds hxg)⟩, he ▸ g.map_source hxg⟩,
fun y hy ↦ ?_⟩
change f y = g.symm (gf y)
have : f y ∈ g.source := by apply interior_subset hy.1.2
rw [← he, g.eq_symm_apply this (by apply g.map_source this), Function.comp_apply]
theorem of_comp_right (hgf : IsLocalHomeomorphOn (g ∘ f) s) (hf : IsLocalHomeomorphOn f s) :
IsLocalHomeomorphOn g (f '' s) := mk g _ <| by
rintro _ ⟨x, hx, rfl⟩
obtain ⟨f, hxf, rfl⟩ := hf x hx
obtain ⟨gf, hgf, he⟩ := hgf x hx
refine ⟨f.symm.trans gf, ⟨f.map_source hxf, ?_⟩, fun y hy ↦ ?_⟩
· apply (f.left_inv hxf).symm ▸ hgf
· change g y = gf (f.symm y)
rw [← he, Function.comp_apply, f.right_inv hy.1]
theorem map_nhds_eq (hf : IsLocalHomeomorphOn f s) {x : X} (hx : x ∈ s) : (𝓝 x).map f = 𝓝 (f x) :=
let ⟨e, hx, he⟩ := hf x hx
he.symm ▸ e.map_nhds_eq hx
protected theorem continuousAt (hf : IsLocalHomeomorphOn f s) {x : X} (hx : x ∈ s) :
ContinuousAt f x :=
(hf.map_nhds_eq hx).le
protected theorem continuousOn (hf : IsLocalHomeomorphOn f s) : ContinuousOn f s :=
continuousOn_of_forall_continuousAt fun _x ↦ hf.continuousAt
protected theorem comp (hg : IsLocalHomeomorphOn g t) (hf : IsLocalHomeomorphOn f s)
(h : Set.MapsTo f s t) : IsLocalHomeomorphOn (g ∘ f) s := by
intro x hx
obtain ⟨eg, hxg, rfl⟩ := hg (f x) (h hx)
obtain ⟨ef, hxf, rfl⟩ := hf x hx
exact ⟨ef.trans eg, ⟨hxf, hxg⟩, rfl⟩
end IsLocalHomeomorphOn
/-- A function `f : X → Y` satisfies `IsLocalHomeomorph f` if each `x : x` is contained in
the source of some `e : PartialHomeomorph X Y` with `f = e`. -/
def IsLocalHomeomorph :=
∀ x : X, ∃ e : PartialHomeomorph X Y, x ∈ e.source ∧ f = e
theorem Homeomorph.isLocalHomeomorph (f : X ≃ₜ Y) : IsLocalHomeomorph f :=
fun _ ↦ ⟨f.toPartialHomeomorph, trivial, rfl⟩
variable {f s}
theorem isLocalHomeomorph_iff_isLocalHomeomorphOn_univ :
IsLocalHomeomorph f ↔ IsLocalHomeomorphOn f Set.univ :=
⟨fun h x _ ↦ h x, fun h x ↦ h x trivial⟩
protected theorem IsLocalHomeomorph.isLocalHomeomorphOn (hf : IsLocalHomeomorph f) :
IsLocalHomeomorphOn f s := fun x _ ↦ hf x
theorem isLocalHomeomorph_iff_isOpenEmbedding_restrict {f : X → Y} :
IsLocalHomeomorph f ↔ ∀ x : X, ∃ U ∈ 𝓝 x, IsOpenEmbedding (U.restrict f) := by
simp_rw [isLocalHomeomorph_iff_isLocalHomeomorphOn_univ,
isLocalHomeomorphOn_iff_isOpenEmbedding_restrict, imp_iff_right (Set.mem_univ _)]
theorem Topology.IsOpenEmbedding.isLocalHomeomorph (hf : IsOpenEmbedding f) : IsLocalHomeomorph f :=
isLocalHomeomorph_iff_isOpenEmbedding_restrict.mpr fun _ ↦
⟨_, Filter.univ_mem, hf.comp (Homeomorph.Set.univ X).isOpenEmbedding⟩
variable (f)
| namespace IsLocalHomeomorph
/-- Proves that `f` satisfies `IsLocalHomeomorph f`. The condition `h` is weaker than the
definition of `IsLocalHomeomorph f`, since it only requires `e : PartialHomeomorph X Y` to
| Mathlib/Topology/IsLocalHomeomorph.lean | 155 | 158 |
/-
Copyright (c) 2023 Patrick Massot. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Patrick Massot
-/
import Mathlib.Order.Filter.Germ.Basic
import Mathlib.Topology.NhdsSet
import Mathlib.Topology.LocallyConstant.Basic
import Mathlib.Analysis.Normed.Module.Basic
/-! # Germs of functions between topological spaces
In this file, we prove basic properties of germs of functions between topological spaces,
with respect to the neighbourhood filter `𝓝 x`.
## Main definitions and results
* `Filter.Germ.value φ f`: value associated to the germ `φ` at a point `x`, w.r.t. the
neighbourhood filter at `x`. This is the common value of all representatives of `φ` at `x`.
* `Filter.Germ.valueOrderRingHom` and friends: the map `Germ (𝓝 x) E → E` is a
monoid homomorphism, 𝕜-linear map, ring homomorphism, monotone ring homomorphism
* `RestrictGermPredicate`: given a predicate on germs `P : Π x : X, germ (𝓝 x) Y → Prop` and
`A : set X`, build a new predicate on germs `restrictGermPredicate P A` such that
`(∀ x, RestrictGermPredicate P A x f) ↔ ∀ᶠ x near A, P x f`;
`forall_restrictRermPredicate_iff` is this equivalence.
* `Filter.Germ.sliceLeft, sliceRight`: map the germ of functions `X × Y → Z` at `p = (x,y) ∈ X × Y`
to the corresponding germ of functions `X → Z` at `x ∈ X` resp. `Y → Z` at `y ∈ Y`.
* `eq_of_germ_isConstant`: if each germ of `f : X → Y` is constant and `X` is pre-connected,
`f` is constant.
-/
open scoped Topology
open Filter Set
variable {X Y Z : Type*} [TopologicalSpace X] {f g : X → Y} {A : Set X} {x : X}
namespace Filter.Germ
/-- The value associated to a germ at a point. This is the common value
shared by all representatives at the given point. -/
def value {X α : Type*} [TopologicalSpace X] {x : X} (φ : Germ (𝓝 x) α) : α :=
Quotient.liftOn' φ (fun f ↦ f x) fun f g h ↦ by dsimp only; rw [Eventually.self_of_nhds h]
theorem value_smul {α β : Type*} [SMul α β] (φ : Germ (𝓝 x) α)
(ψ : Germ (𝓝 x) β) : (φ • ψ).value = φ.value • ψ.value :=
Germ.inductionOn φ fun _ ↦ Germ.inductionOn ψ fun _ ↦ rfl
/-- The map `Germ (𝓝 x) E → E` into a monoid `E` as a monoid homomorphism -/
@[to_additive "The map `Germ (𝓝 x) E → E` as an additive monoid homomorphism"]
def valueMulHom {X E : Type*} [Monoid E] [TopologicalSpace X] {x : X} : Germ (𝓝 x) E →* E where
toFun := Filter.Germ.value
map_one' := rfl
map_mul' φ ψ := Germ.inductionOn φ fun _ ↦ Germ.inductionOn ψ fun _ ↦ rfl
/-- The map `Germ (𝓝 x) E → E` into a `𝕜`-module `E` as a `𝕜`-linear map -/
def valueₗ {X 𝕜 E : Type*} [Semiring 𝕜] [AddCommMonoid E] [Module 𝕜 E] [TopologicalSpace X]
{x : X} : Germ (𝓝 x) E →ₗ[𝕜] E where
__ := Filter.Germ.valueAddHom
map_smul' := fun _ φ ↦ Germ.inductionOn φ fun _ ↦ rfl
/-- The map `Germ (𝓝 x) E → E` as a ring homomorphism -/
def valueRingHom {X E : Type*} [Semiring E] [TopologicalSpace X] {x : X} : Germ (𝓝 x) E →+* E :=
{ Filter.Germ.valueMulHom, Filter.Germ.valueAddHom with }
/-- The map `Germ (𝓝 x) E → E` as a monotone ring homomorphism -/
def valueOrderRingHom {X E : Type*} [Semiring E] [PartialOrder E] [TopologicalSpace X] {x : X} :
Germ (𝓝 x) E →+*o E where
__ := Filter.Germ.valueRingHom
monotone' := fun φ ψ ↦
Germ.inductionOn φ fun _ ↦ Germ.inductionOn ψ fun _ h ↦ h.self_of_nhds
end Filter.Germ
section RestrictGermPredicate
/-- Given a predicate on germs `P : Π x : X, germ (𝓝 x) Y → Prop` and `A : set X`,
build a new predicate on germs `RestrictGermPredicate P A` such that
`(∀ x, RestrictGermPredicate P A x f) ↔ ∀ᶠ x near A, P x f`, see
`forall_restrictGermPredicate_iff` for this equivalence. -/
def RestrictGermPredicate (P : ∀ x : X, Germ (𝓝 x) Y → Prop)
(A : Set X) : ∀ x : X, Germ (𝓝 x) Y → Prop := fun x φ ↦
Germ.liftOn φ (fun f ↦ x ∈ A → ∀ᶠ y in 𝓝 x, P y f)
haveI : ∀ f f' : X → Y, f =ᶠ[𝓝 x] f' → (∀ᶠ y in 𝓝 x, P y f) → ∀ᶠ y in 𝓝 x, P y f' := by
intro f f' hff' hf
apply (hf.and <| Eventually.eventually_nhds hff').mono
rintro y ⟨hy, hy'⟩
rwa [Germ.coe_eq.mpr (EventuallyEq.symm hy')]
fun f f' hff' ↦ propext <| forall_congr' fun _ ↦ ⟨this f f' hff', this f' f hff'.symm⟩
theorem Filter.Eventually.germ_congr_set
{P : ∀ x : X, Germ (𝓝 x) Y → Prop} (hf : ∀ᶠ x in 𝓝ˢ A, P x f)
(h : ∀ᶠ z in 𝓝ˢ A, g z = f z) : ∀ᶠ x in 𝓝ˢ A, P x g := by
rw [eventually_nhdsSet_iff_forall] at *
intro x hx
apply ((hf x hx).and (h x hx).eventually_nhds).mono
intro y hy
convert hy.1 using 1
exact Germ.coe_eq.mpr hy.2
theorem restrictGermPredicate_congr {P : ∀ x : X, Germ (𝓝 x) Y → Prop}
(hf : RestrictGermPredicate P A x f) (h : ∀ᶠ z in 𝓝ˢ A, g z = f z) :
RestrictGermPredicate P A x g := by
intro hx
apply ((hf hx).and <| (eventually_nhdsSet_iff_forall.mp h x hx).eventually_nhds).mono
rintro y ⟨hy, h'y⟩
rwa [Germ.coe_eq.mpr h'y]
theorem forall_restrictGermPredicate_iff {P : ∀ x : X, Germ (𝓝 x) Y → Prop} :
(∀ x, RestrictGermPredicate P A x f) ↔ ∀ᶠ x in 𝓝ˢ A, P x f := by
rw [eventually_nhdsSet_iff_forall]
rfl
theorem forall_restrictGermPredicate_of_forall
{P : ∀ x : X, Germ (𝓝 x) Y → Prop} (h : ∀ x, P x f) :
∀ x, RestrictGermPredicate P A x f :=
forall_restrictGermPredicate_iff.mpr (Eventually.of_forall h)
end RestrictGermPredicate
namespace Filter.Germ
/-- Map the germ of functions `X × Y → Z` at `p = (x,y) ∈ X × Y` to the corresponding germ
of functions `X → Z` at `x ∈ X` -/
def sliceLeft [TopologicalSpace Y] {p : X × Y} (P : Germ (𝓝 p) Z) : Germ (𝓝 p.1) Z :=
P.compTendsto (Prod.mk · p.2) (Continuous.prodMk_left p.2).continuousAt
@[simp]
theorem sliceLeft_coe [TopologicalSpace Y] {y : Y} (f : X × Y → Z) :
(↑f : Germ (𝓝 (x, y)) Z).sliceLeft = fun x' ↦ f (x', y) :=
rfl
/-- Map the germ of functions `X × Y → Z` at `p = (x,y) ∈ X × Y` to the corresponding germ
of functions `Y → Z` at `y ∈ Y` -/
def sliceRight [TopologicalSpace Y] {p : X × Y} (P : Germ (𝓝 p) Z) : Germ (𝓝 p.2) Z :=
P.compTendsto (Prod.mk p.1) (Continuous.prodMk_right p.1).continuousAt
@[simp]
theorem sliceRight_coe [TopologicalSpace Y] {y : Y} (f : X × Y → Z) :
(↑f : Germ (𝓝 (x, y)) Z).sliceRight = fun y' ↦ f (x, y') :=
rfl
lemma isConstant_comp_subtype {s : Set X} {f : X → Y} {x : s}
(hf : (f : Germ (𝓝 (x : X)) Y).IsConstant) :
((f ∘ Subtype.val : s → Y) : Germ (𝓝 x) Y).IsConstant :=
isConstant_comp_tendsto hf continuousAt_subtype_val
end Filter.Germ
/-- If the germ of `f` w.r.t. each `𝓝 x` is constant, `f` is locally constant. -/
lemma IsLocallyConstant.of_germ_isConstant (h : ∀ x : X, (f : Germ (𝓝 x) Y).IsConstant) :
IsLocallyConstant f := by
| intro s
rw [isOpen_iff_mem_nhds]
intro a ha
obtain ⟨b, hb⟩ := h a
apply mem_of_superset hb
intro x hx
have : f x = f a := (mem_of_mem_nhds hb) ▸ hx
rw [mem_preimage, this]
exact ha
theorem eq_of_germ_isConstant [i : PreconnectedSpace X]
(h : ∀ x : X, (f : Germ (𝓝 x) Y).IsConstant) (x x' : X) : f x = f x' :=
| Mathlib/Topology/Germ.lean | 151 | 162 |
/-
Copyright (c) 2024 Yury Kudryashov. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yury Kudryashov
-/
import Mathlib.Algebra.Group.Action.Pi
import Mathlib.Algebra.Group.End
import Mathlib.Algebra.Module.NatInt
import Mathlib.Algebra.Order.Archimedean.Basic
/-!
# Maps (semi)conjugating a shift to a shift
Denote by $S^1$ the unit circle `UnitAddCircle`.
A common way to study a self-map $f\colon S^1\to S^1$ of degree `1`
is to lift it to a map $\tilde f\colon \mathbb R\to \mathbb R$
such that $\tilde f(x + 1) = \tilde f(x)+1$ for all `x`.
In this file we define a structure and a typeclass
for bundled maps satisfying `f (x + a) = f x + b`.
We use parameters `a` and `b` instead of `1` to accommodate for two use cases:
- maps between circles of different lengths;
- self-maps $f\colon S^1\to S^1$ of degree other than one,
including orientation-reversing maps.
-/
assert_not_exists Finset
open Function Set
/-- A bundled map `f : G → H` such that `f (x + a) = f x + b` for all `x`,
denoted as `f: G →+c[a, b] H`.
One can think about `f` as a lift to `G` of a map between two `AddCircle`s. -/
structure AddConstMap (G H : Type*) [Add G] [Add H] (a : G) (b : H) where
/-- The underlying function of an `AddConstMap`.
Use automatic coercion to function instead. -/
protected toFun : G → H
/-- An `AddConstMap` satisfies `f (x + a) = f x + b`. Use `map_add_const` instead. -/
map_add_const' (x : G) : toFun (x + a) = toFun x + b
@[inherit_doc]
scoped [AddConstMap] notation:25 G " →+c[" a ", " b "] " H => AddConstMap G H a b
/-- Typeclass for maps satisfying `f (x + a) = f x + b`.
Note that `a` and `b` are `outParam`s,
so one should not add instances like
`[AddConstMapClass F G H a b] : AddConstMapClass F G H (-a) (-b)`. -/
class AddConstMapClass (F : Type*) (G H : outParam Type*) [Add G] [Add H]
(a : outParam G) (b : outParam H) [FunLike F G H] : Prop where
/-- A map of `AddConstMapClass` class semiconjugates shift by `a` to the shift by `b`:
`∀ x, f (x + a) = f x + b`. -/
map_add_const (f : F) (x : G) : f (x + a) = f x + b
namespace AddConstMapClass
/-!
### Properties of `AddConstMapClass` maps
In this section we prove properties like `f (x + n • a) = f x + n • b`.
-/
scoped [AddConstMapClass] attribute [simp] map_add_const
variable {F G H : Type*} [FunLike F G H] {a : G} {b : H}
protected theorem semiconj [Add G] [Add H] [AddConstMapClass F G H a b] (f : F) :
Semiconj f (· + a) (· + b) :=
map_add_const f
| @[scoped simp]
theorem map_add_nsmul [AddMonoid G] [AddMonoid H] [AddConstMapClass F G H a b]
(f : F) (x : G) (n : ℕ) : f (x + n • a) = f x + n • b := by
| Mathlib/Algebra/AddConstMap/Basic.lean | 74 | 76 |
/-
Copyright (c) 2017 Johannes Hölzl. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Johannes Hölzl, Mario Carneiro, Yury Kudryashov
-/
import Mathlib.Topology.Order.LeftRight
import Mathlib.Topology.Separation.Hausdorff
/-!
# Order-closed topologies
In this file we introduce 3 typeclass mixins that relate topology and order structures:
- `ClosedIicTopology` says that all the intervals $(-∞, a]$ (formally, `Set.Iic a`)
are closed sets;
- `ClosedIciTopology` says that all the intervals $[a, +∞)$ (formally, `Set.Ici a`)
are closed sets;
- `OrderClosedTopology` says that the set of points `(x, y)` such that `x ≤ y`
is closed in the product topology.
The last predicate implies the first two.
We prove many basic properties of such topologies.
## Main statements
This file contains the proofs of the following facts.
For exact requirements
(`OrderClosedTopology` vs `ClosedIciTopology` vs `ClosedIicTopology,
`Preorder` vs `PartialOrder` vs `LinearOrder` etc)
see their statements.
### Open / closed sets
* `isOpen_lt` : if `f` and `g` are continuous functions, then `{x | f x < g x}` is open;
* `isOpen_Iio`, `isOpen_Ioi`, `isOpen_Ioo` : open intervals are open;
* `isClosed_le` : if `f` and `g` are continuous functions, then `{x | f x ≤ g x}` is closed;
* `isClosed_Iic`, `isClosed_Ici`, `isClosed_Icc` : closed intervals are closed;
* `frontier_le_subset_eq`, `frontier_lt_subset_eq` : frontiers of both `{x | f x ≤ g x}`
and `{x | f x < g x}` are included by `{x | f x = g x}`;
### Convergence and inequalities
* `le_of_tendsto_of_tendsto` : if `f` converges to `a`, `g` converges to `b`, and eventually
`f x ≤ g x`, then `a ≤ b`
* `le_of_tendsto`, `ge_of_tendsto` : if `f` converges to `a` and eventually `f x ≤ b`
(resp., `b ≤ f x`), then `a ≤ b` (resp., `b ≤ a`); we also provide primed versions
that assume the inequalities to hold for all `x`.
### Min, max, `sSup` and `sInf`
* `Continuous.min`, `Continuous.max`: pointwise `min`/`max` of two continuous functions is
continuous.
* `Tendsto.min`, `Tendsto.max` : if `f` tends to `a` and `g` tends to `b`, then their pointwise
`min`/`max` tend to `min a b` and `max a b`, respectively.
-/
open Set Filter
open OrderDual (toDual)
open scoped Topology
universe u v w
variable {α : Type u} {β : Type v} {γ : Type w}
/-- If `α` is a topological space and a preorder, `ClosedIicTopology α` means that `Iic a` is
closed for all `a : α`. -/
class ClosedIicTopology (α : Type*) [TopologicalSpace α] [Preorder α] : Prop where
/-- For any `a`, the set `(-∞, a]` is closed. -/
isClosed_Iic (a : α) : IsClosed (Iic a)
/-- If `α` is a topological space and a preorder, `ClosedIciTopology α` means that `Ici a` is
closed for all `a : α`. -/
class ClosedIciTopology (α : Type*) [TopologicalSpace α] [Preorder α] : Prop where
/-- For any `a`, the set `[a, +∞)` is closed. -/
isClosed_Ici (a : α) : IsClosed (Ici a)
/-- A topology on a set which is both a topological space and a preorder is _order-closed_ if the
set of points `(x, y)` with `x ≤ y` is closed in the product space. We introduce this as a mixin.
This property is satisfied for the order topology on a linear order, but it can be satisfied more
generally, and suffices to derive many interesting properties relating order and topology. -/
class OrderClosedTopology (α : Type*) [TopologicalSpace α] [Preorder α] : Prop where
/-- The set `{ (x, y) | x ≤ y }` is a closed set. -/
isClosed_le' : IsClosed { p : α × α | p.1 ≤ p.2 }
instance [TopologicalSpace α] [h : FirstCountableTopology α] : FirstCountableTopology αᵒᵈ := h
instance [TopologicalSpace α] [h : SecondCountableTopology α] : SecondCountableTopology αᵒᵈ := h
theorem Dense.orderDual [TopologicalSpace α] {s : Set α} (hs : Dense s) :
Dense (OrderDual.ofDual ⁻¹' s) :=
hs
section General
variable [TopologicalSpace α] [Preorder α] {s : Set α}
protected lemma BddAbove.of_closure : BddAbove (closure s) → BddAbove s :=
BddAbove.mono subset_closure
protected lemma BddBelow.of_closure : BddBelow (closure s) → BddBelow s :=
BddBelow.mono subset_closure
end General
section ClosedIicTopology
section Preorder
variable [TopologicalSpace α] [Preorder α] [ClosedIicTopology α] {f : β → α} {a b : α} {s : Set α}
theorem isClosed_Iic : IsClosed (Iic a) :=
ClosedIicTopology.isClosed_Iic a
instance : ClosedIciTopology αᵒᵈ where
isClosed_Ici _ := isClosed_Iic (α := α)
@[simp]
theorem closure_Iic (a : α) : closure (Iic a) = Iic a :=
isClosed_Iic.closure_eq
theorem le_of_tendsto_of_frequently {x : Filter β} (lim : Tendsto f x (𝓝 a))
(h : ∃ᶠ c in x, f c ≤ b) : a ≤ b :=
isClosed_Iic.mem_of_frequently_of_tendsto h lim
theorem le_of_tendsto {x : Filter β} [NeBot x] (lim : Tendsto f x (𝓝 a))
(h : ∀ᶠ c in x, f c ≤ b) : a ≤ b :=
isClosed_Iic.mem_of_tendsto lim h
theorem le_of_tendsto' {x : Filter β} [NeBot x] (lim : Tendsto f x (𝓝 a))
(h : ∀ c, f c ≤ b) : a ≤ b :=
le_of_tendsto lim (Eventually.of_forall h)
@[simp] lemma upperBounds_closure (s : Set α) : upperBounds (closure s : Set α) = upperBounds s :=
ext fun a ↦ by simp_rw [mem_upperBounds_iff_subset_Iic, isClosed_Iic.closure_subset_iff]
@[simp] lemma bddAbove_closure : BddAbove (closure s) ↔ BddAbove s := by
simp_rw [BddAbove, upperBounds_closure]
protected alias ⟨_, BddAbove.closure⟩ := bddAbove_closure
@[simp]
theorem disjoint_nhds_atBot_iff : Disjoint (𝓝 a) atBot ↔ ¬IsBot a := by
constructor
· intro hd hbot
rw [hbot.atBot_eq, disjoint_principal_right] at hd
exact mem_of_mem_nhds hd le_rfl
· simp only [IsBot, not_forall]
rintro ⟨b, hb⟩
refine disjoint_of_disjoint_of_mem disjoint_compl_left ?_ (Iic_mem_atBot b)
exact isClosed_Iic.isOpen_compl.mem_nhds hb
theorem IsLUB.range_of_tendsto {F : Filter β} [F.NeBot] (hle : ∀ i, f i ≤ a)
(hlim : Tendsto f F (𝓝 a)) : IsLUB (range f) a :=
⟨forall_mem_range.mpr hle, fun _c hc ↦ le_of_tendsto' hlim fun i ↦ hc <| mem_range_self i⟩
end Preorder
section NoBotOrder
variable [Preorder α] [NoBotOrder α] [TopologicalSpace α] [ClosedIicTopology α] {a : α}
{l : Filter β} [NeBot l] {f : β → α}
theorem disjoint_nhds_atBot (a : α) : Disjoint (𝓝 a) atBot := by simp
@[simp]
theorem inf_nhds_atBot (a : α) : 𝓝 a ⊓ atBot = ⊥ := (disjoint_nhds_atBot a).eq_bot
theorem not_tendsto_nhds_of_tendsto_atBot (hf : Tendsto f l atBot) (a : α) : ¬Tendsto f l (𝓝 a) :=
hf.not_tendsto (disjoint_nhds_atBot a).symm
theorem not_tendsto_atBot_of_tendsto_nhds (hf : Tendsto f l (𝓝 a)) : ¬Tendsto f l atBot :=
hf.not_tendsto (disjoint_nhds_atBot a)
end NoBotOrder
theorem iSup_eq_of_forall_le_of_tendsto {ι : Type*} {F : Filter ι} [Filter.NeBot F]
[ConditionallyCompleteLattice α] [TopologicalSpace α] [ClosedIicTopology α]
{a : α} {f : ι → α} (hle : ∀ i, f i ≤ a) (hlim : Filter.Tendsto f F (𝓝 a)) :
⨆ i, f i = a :=
have := F.nonempty_of_neBot
(IsLUB.range_of_tendsto hle hlim).ciSup_eq
theorem iUnion_Iic_eq_Iio_of_lt_of_tendsto {ι : Type*} {F : Filter ι} [F.NeBot]
[ConditionallyCompleteLinearOrder α] [TopologicalSpace α] [ClosedIicTopology α]
{a : α} {f : ι → α} (hlt : ∀ i, f i < a) (hlim : Tendsto f F (𝓝 a)) :
⋃ i : ι, Iic (f i) = Iio a := by
have obs : a ∉ range f := by
rw [mem_range]
rintro ⟨i, rfl⟩
exact (hlt i).false
rw [← biUnion_range, (IsLUB.range_of_tendsto (le_of_lt <| hlt ·) hlim).biUnion_Iic_eq_Iio obs]
section LinearOrder
variable [TopologicalSpace α] [LinearOrder α] [ClosedIicTopology α] [TopologicalSpace β]
{a b c : α} {f : α → β}
theorem isOpen_Ioi : IsOpen (Ioi a) := by
rw [← compl_Iic]
exact isClosed_Iic.isOpen_compl
@[simp]
theorem interior_Ioi : interior (Ioi a) = Ioi a :=
isOpen_Ioi.interior_eq
theorem Ioi_mem_nhds (h : a < b) : Ioi a ∈ 𝓝 b := IsOpen.mem_nhds isOpen_Ioi h
theorem eventually_gt_nhds (hab : b < a) : ∀ᶠ x in 𝓝 a, b < x := Ioi_mem_nhds hab
theorem Ici_mem_nhds (h : a < b) : Ici a ∈ 𝓝 b :=
mem_of_superset (Ioi_mem_nhds h) Ioi_subset_Ici_self
theorem eventually_ge_nhds (hab : b < a) : ∀ᶠ x in 𝓝 a, b ≤ x := Ici_mem_nhds hab
theorem Filter.Tendsto.eventually_const_lt {l : Filter γ} {f : γ → α} {u v : α} (hv : u < v)
(h : Filter.Tendsto f l (𝓝 v)) : ∀ᶠ a in l, u < f a :=
h.eventually <| eventually_gt_nhds hv
@[deprecated (since := "2024-11-17")]
alias eventually_gt_of_tendsto_gt := Filter.Tendsto.eventually_const_lt
theorem Filter.Tendsto.eventually_const_le {l : Filter γ} {f : γ → α} {u v : α} (hv : u < v)
(h : Tendsto f l (𝓝 v)) : ∀ᶠ a in l, u ≤ f a :=
h.eventually <| eventually_ge_nhds hv
@[deprecated (since := "2024-11-17")]
alias eventually_ge_of_tendsto_gt := Filter.Tendsto.eventually_const_le
protected theorem Dense.exists_gt [NoMaxOrder α] {s : Set α} (hs : Dense s) (x : α) :
∃ y ∈ s, x < y :=
hs.exists_mem_open isOpen_Ioi (exists_gt x)
protected theorem Dense.exists_ge [NoMaxOrder α] {s : Set α} (hs : Dense s) (x : α) :
∃ y ∈ s, x ≤ y :=
(hs.exists_gt x).imp fun _ h ↦ ⟨h.1, h.2.le⟩
theorem Dense.exists_ge' {s : Set α} (hs : Dense s) (htop : ∀ x, IsTop x → x ∈ s) (x : α) :
∃ y ∈ s, x ≤ y := by
by_cases hx : IsTop x
· exact ⟨x, htop x hx, le_rfl⟩
· simp only [IsTop, not_forall, not_le] at hx
rcases hs.exists_mem_open isOpen_Ioi hx with ⟨y, hys, hy : x < y⟩
exact ⟨y, hys, hy.le⟩
/-!
### Left neighborhoods on a `ClosedIicTopology`
Limits to the left of real functions are defined in terms of neighborhoods to the left,
either open or closed, i.e., members of `𝓝[<] a` and `𝓝[≤] a`.
Here we prove that all left-neighborhoods of a point are equal,
and we prove other useful characterizations which require the stronger hypothesis `OrderTopology α`
in another file.
-/
/-!
#### Point excluded
-/
theorem Ioo_mem_nhdsLT (H : a < b) : Ioo a b ∈ 𝓝[<] b := by
simpa only [← Iio_inter_Ioi] using inter_mem_nhdsWithin _ (Ioi_mem_nhds H)
@[deprecated (since := "2024-12-21")] alias Ioo_mem_nhdsWithin_Iio' := Ioo_mem_nhdsLT
theorem Ioo_mem_nhdsLT_of_mem (H : b ∈ Ioc a c) : Ioo a c ∈ 𝓝[<] b :=
mem_of_superset (Ioo_mem_nhdsLT H.1) <| Ioo_subset_Ioo_right H.2
@[deprecated (since := "2024-12-21")] alias Ioo_mem_nhdsWithin_Iio := Ioo_mem_nhdsLT_of_mem
protected theorem CovBy.nhdsLT (h : a ⋖ b) : 𝓝[<] b = ⊥ :=
empty_mem_iff_bot.mp <| h.Ioo_eq ▸ Ioo_mem_nhdsLT h.1
@[deprecated (since := "2024-12-21")] protected alias CovBy.nhdsWithin_Iio := CovBy.nhdsLT
protected theorem PredOrder.nhdsLT [PredOrder α] : 𝓝[<] a = ⊥ := by
if h : IsMin a then simp [h.Iio_eq]
else exact (Order.pred_covBy_of_not_isMin h).nhdsLT
@[deprecated (since := "2024-12-21")] protected alias PredOrder.nhdsWithin_Iio := PredOrder.nhdsLT
theorem PredOrder.nhdsGT_eq_nhdsNE [PredOrder α] (a : α) : 𝓝[>] a = 𝓝[≠] a := by
rw [← nhdsLT_sup_nhdsGT, PredOrder.nhdsLT, bot_sup_eq]
theorem PredOrder.nhdsGE_eq_nhds [PredOrder α] (a : α) : 𝓝[≥] a = 𝓝 a := by
rw [← nhdsLT_sup_nhdsGE, PredOrder.nhdsLT, bot_sup_eq]
theorem Ico_mem_nhdsLT_of_mem (H : b ∈ Ioc a c) : Ico a c ∈ 𝓝[<] b :=
mem_of_superset (Ioo_mem_nhdsLT_of_mem H) Ioo_subset_Ico_self
@[deprecated (since := "2024-12-21")] alias Ico_mem_nhdsWithin_Iio := Ico_mem_nhdsLT_of_mem
theorem Ico_mem_nhdsLT (H : a < b) : Ico a b ∈ 𝓝[<] b := Ico_mem_nhdsLT_of_mem ⟨H, le_rfl⟩
@[deprecated (since := "2024-12-21")] alias Ico_mem_nhdsWithin_Iio' := Ico_mem_nhdsLT
theorem Ioc_mem_nhdsLT_of_mem (H : b ∈ Ioc a c) : Ioc a c ∈ 𝓝[<] b :=
mem_of_superset (Ioo_mem_nhdsLT_of_mem H) Ioo_subset_Ioc_self
@[deprecated (since := "2024-12-21")] alias Ioc_mem_nhdsWithin_Iio := Ioc_mem_nhdsLT_of_mem
theorem Ioc_mem_nhdsLT (H : a < b) : Ioc a b ∈ 𝓝[<] b := Ioc_mem_nhdsLT_of_mem ⟨H, le_rfl⟩
@[deprecated (since := "2024-12-21")] alias Ioc_mem_nhdsWithin_Iio' := Ioc_mem_nhdsLT
theorem Icc_mem_nhdsLT_of_mem (H : b ∈ Ioc a c) : Icc a c ∈ 𝓝[<] b :=
mem_of_superset (Ioo_mem_nhdsLT_of_mem H) Ioo_subset_Icc_self
@[deprecated (since := "2024-12-21")] alias Icc_mem_nhdsWithin_Iio := Icc_mem_nhdsLT_of_mem
theorem Icc_mem_nhdsLT (H : a < b) : Icc a b ∈ 𝓝[<] b := Icc_mem_nhdsLT_of_mem ⟨H, le_rfl⟩
@[deprecated (since := "2024-12-21")] alias Icc_mem_nhdsWithin_Iio' := Icc_mem_nhdsLT
@[simp]
theorem nhdsWithin_Ico_eq_nhdsLT (h : a < b) : 𝓝[Ico a b] b = 𝓝[<] b :=
nhdsWithin_inter_of_mem <| nhdsWithin_le_nhds <| Ici_mem_nhds h
@[deprecated (since := "2024-12-21")]
alias nhdsWithin_Ico_eq_nhdsWithin_Iio := nhdsWithin_Ico_eq_nhdsLT
@[simp]
theorem nhdsWithin_Ioo_eq_nhdsLT (h : a < b) : 𝓝[Ioo a b] b = 𝓝[<] b :=
nhdsWithin_inter_of_mem <| nhdsWithin_le_nhds <| Ioi_mem_nhds h
@[deprecated (since := "2024-12-21")]
alias nhdsWithin_Ioo_eq_nhdsWithin_Iio := nhdsWithin_Ioo_eq_nhdsLT
@[simp]
theorem continuousWithinAt_Ico_iff_Iio (h : a < b) :
ContinuousWithinAt f (Ico a b) b ↔ ContinuousWithinAt f (Iio b) b := by
simp only [ContinuousWithinAt, nhdsWithin_Ico_eq_nhdsLT h]
@[simp]
theorem continuousWithinAt_Ioo_iff_Iio (h : a < b) :
ContinuousWithinAt f (Ioo a b) b ↔ ContinuousWithinAt f (Iio b) b := by
simp only [ContinuousWithinAt, nhdsWithin_Ioo_eq_nhdsLT h]
/-!
#### Point included
-/
protected theorem CovBy.nhdsLE (H : a ⋖ b) : 𝓝[≤] b = pure b := by
rw [← Iio_insert, nhdsWithin_insert, H.nhdsLT, sup_bot_eq]
@[deprecated (since := "2024-12-21")]
protected alias CovBy.nhdsWithin_Iic := CovBy.nhdsLE
protected theorem PredOrder.nhdsLE [PredOrder α] : 𝓝[≤] b = pure b := by
rw [← Iio_insert, nhdsWithin_insert, PredOrder.nhdsLT, sup_bot_eq]
@[deprecated (since := "2024-12-21")]
protected alias PredOrder.nhdsWithin_Iic := PredOrder.nhdsLE
theorem Ioc_mem_nhdsLE (H : a < b) : Ioc a b ∈ 𝓝[≤] b :=
inter_mem (nhdsWithin_le_nhds <| Ioi_mem_nhds H) self_mem_nhdsWithin
@[deprecated (since := "2024-12-21")] alias Ioc_mem_nhdsWithin_Iic' := Ioc_mem_nhdsLE
theorem Ioo_mem_nhdsLE_of_mem (H : b ∈ Ioo a c) : Ioo a c ∈ 𝓝[≤] b :=
mem_of_superset (Ioc_mem_nhdsLE H.1) <| Ioc_subset_Ioo_right H.2
@[deprecated (since := "2024-12-21")] alias Ioo_mem_nhdsWithin_Iic := Ioo_mem_nhdsLE_of_mem
theorem Ico_mem_nhdsLE_of_mem (H : b ∈ Ioo a c) : Ico a c ∈ 𝓝[≤] b :=
mem_of_superset (Ioo_mem_nhdsLE_of_mem H) Ioo_subset_Ico_self
@[deprecated (since := "2024-12-22")]
alias Ico_mem_nhdsWithin_Iic := Ico_mem_nhdsLE_of_mem
theorem Ioc_mem_nhdsLE_of_mem (H : b ∈ Ioc a c) : Ioc a c ∈ 𝓝[≤] b :=
mem_of_superset (Ioc_mem_nhdsLE H.1) <| Ioc_subset_Ioc_right H.2
@[deprecated (since := "2024-12-22")]
alias Ioc_mem_nhdsWithin_Iic := Ioc_mem_nhdsLE_of_mem
theorem Icc_mem_nhdsLE_of_mem (H : b ∈ Ioc a c) : Icc a c ∈ 𝓝[≤] b :=
mem_of_superset (Ioc_mem_nhdsLE_of_mem H) Ioc_subset_Icc_self
@[deprecated (since := "2024-12-22")]
alias Icc_mem_nhdsWithin_Iic := Icc_mem_nhdsLE_of_mem
theorem Icc_mem_nhdsLE (H : a < b) : Icc a b ∈ 𝓝[≤] b := Icc_mem_nhdsLE_of_mem ⟨H, le_rfl⟩
@[deprecated (since := "2024-12-22")]
alias Icc_mem_nhdsWithin_Iic' := Icc_mem_nhdsLE
@[simp]
theorem nhdsWithin_Icc_eq_nhdsLE (h : a < b) : 𝓝[Icc a b] b = 𝓝[≤] b :=
nhdsWithin_inter_of_mem <| nhdsWithin_le_nhds <| Ici_mem_nhds h
@[deprecated (since := "2024-12-22")]
alias nhdsWithin_Icc_eq_nhdsWithin_Iic := nhdsWithin_Icc_eq_nhdsLE
@[simp]
theorem nhdsWithin_Ioc_eq_nhdsLE (h : a < b) : 𝓝[Ioc a b] b = 𝓝[≤] b :=
nhdsWithin_inter_of_mem <| nhdsWithin_le_nhds <| Ioi_mem_nhds h
@[deprecated (since := "2024-12-22")]
alias nhdsWithin_Ioc_eq_nhdsWithin_Iic := nhdsWithin_Ioc_eq_nhdsLE
@[simp]
theorem continuousWithinAt_Icc_iff_Iic (h : a < b) :
ContinuousWithinAt f (Icc a b) b ↔ ContinuousWithinAt f (Iic b) b := by
simp only [ContinuousWithinAt, nhdsWithin_Icc_eq_nhdsLE h]
@[simp]
theorem continuousWithinAt_Ioc_iff_Iic (h : a < b) :
ContinuousWithinAt f (Ioc a b) b ↔ ContinuousWithinAt f (Iic b) b := by
simp only [ContinuousWithinAt, nhdsWithin_Ioc_eq_nhdsLE h]
end LinearOrder
end ClosedIicTopology
section ClosedIciTopology
section Preorder
variable [TopologicalSpace α] [Preorder α] [ClosedIciTopology α] {f : β → α} {a b : α} {s : Set α}
theorem isClosed_Ici {a : α} : IsClosed (Ici a) :=
ClosedIciTopology.isClosed_Ici a
instance : ClosedIicTopology αᵒᵈ where
isClosed_Iic _ := isClosed_Ici (α := α)
@[simp]
theorem closure_Ici (a : α) : closure (Ici a) = Ici a :=
isClosed_Ici.closure_eq
lemma ge_of_tendsto_of_frequently {x : Filter β} (lim : Tendsto f x (𝓝 a))
(h : ∃ᶠ c in x, b ≤ f c) : b ≤ a :=
isClosed_Ici.mem_of_frequently_of_tendsto h lim
theorem ge_of_tendsto {x : Filter β} [NeBot x] (lim : Tendsto f x (𝓝 a))
(h : ∀ᶠ c in x, b ≤ f c) : b ≤ a :=
isClosed_Ici.mem_of_tendsto lim h
theorem ge_of_tendsto' {x : Filter β} [NeBot x] (lim : Tendsto f x (𝓝 a))
(h : ∀ c, b ≤ f c) : b ≤ a :=
ge_of_tendsto lim (Eventually.of_forall h)
@[simp] lemma lowerBounds_closure (s : Set α) : lowerBounds (closure s : Set α) = lowerBounds s :=
ext fun a ↦ by simp_rw [mem_lowerBounds_iff_subset_Ici, isClosed_Ici.closure_subset_iff]
@[simp] lemma bddBelow_closure : BddBelow (closure s) ↔ BddBelow s := by
simp_rw [BddBelow, lowerBounds_closure]
protected alias ⟨_, BddBelow.closure⟩ := bddBelow_closure
@[simp]
theorem disjoint_nhds_atTop_iff : Disjoint (𝓝 a) atTop ↔ ¬IsTop a :=
disjoint_nhds_atBot_iff (α := αᵒᵈ)
theorem IsGLB.range_of_tendsto {F : Filter β} [F.NeBot] (hle : ∀ i, a ≤ f i)
(hlim : Tendsto f F (𝓝 a)) : IsGLB (range f) a :=
IsLUB.range_of_tendsto (α := αᵒᵈ) hle hlim
end Preorder
section NoTopOrder
variable [Preorder α] [NoTopOrder α] [TopologicalSpace α] [ClosedIciTopology α] {a : α}
{l : Filter β} [NeBot l] {f : β → α}
theorem disjoint_nhds_atTop (a : α) : Disjoint (𝓝 a) atTop := disjoint_nhds_atBot (toDual a)
@[simp]
theorem inf_nhds_atTop (a : α) : 𝓝 a ⊓ atTop = ⊥ := (disjoint_nhds_atTop a).eq_bot
theorem not_tendsto_nhds_of_tendsto_atTop (hf : Tendsto f l atTop) (a : α) : ¬Tendsto f l (𝓝 a) :=
hf.not_tendsto (disjoint_nhds_atTop a).symm
theorem not_tendsto_atTop_of_tendsto_nhds (hf : Tendsto f l (𝓝 a)) : ¬Tendsto f l atTop :=
hf.not_tendsto (disjoint_nhds_atTop a)
end NoTopOrder
theorem iInf_eq_of_forall_le_of_tendsto {ι : Type*} {F : Filter ι} [F.NeBot]
[ConditionallyCompleteLattice α] [TopologicalSpace α] [ClosedIciTopology α]
{a : α} {f : ι → α} (hle : ∀ i, a ≤ f i) (hlim : Tendsto f F (𝓝 a)) :
⨅ i, f i = a :=
iSup_eq_of_forall_le_of_tendsto (α := αᵒᵈ) hle hlim
theorem iUnion_Ici_eq_Ioi_of_lt_of_tendsto {ι : Type*} {F : Filter ι} [F.NeBot]
[ConditionallyCompleteLinearOrder α] [TopologicalSpace α] [ClosedIciTopology α]
{a : α} {f : ι → α} (hlt : ∀ i, a < f i) (hlim : Tendsto f F (𝓝 a)) :
⋃ i : ι, Ici (f i) = Ioi a :=
iUnion_Iic_eq_Iio_of_lt_of_tendsto (α := αᵒᵈ) hlt hlim
section LinearOrder
variable [TopologicalSpace α] [LinearOrder α] [ClosedIciTopology α] [TopologicalSpace β]
{a b c : α} {f : α → β}
theorem isOpen_Iio : IsOpen (Iio a) := isOpen_Ioi (α := αᵒᵈ)
@[simp] theorem interior_Iio : interior (Iio a) = Iio a := isOpen_Iio.interior_eq
theorem Iio_mem_nhds (h : a < b) : Iio b ∈ 𝓝 a := isOpen_Iio.mem_nhds h
theorem eventually_lt_nhds (hab : a < b) : ∀ᶠ x in 𝓝 a, x < b := Iio_mem_nhds hab
theorem Iic_mem_nhds (h : a < b) : Iic b ∈ 𝓝 a :=
mem_of_superset (Iio_mem_nhds h) Iio_subset_Iic_self
theorem eventually_le_nhds (hab : a < b) : ∀ᶠ x in 𝓝 a, x ≤ b := Iic_mem_nhds hab
theorem Filter.Tendsto.eventually_lt_const {l : Filter γ} {f : γ → α} {u v : α} (hv : v < u)
(h : Filter.Tendsto f l (𝓝 v)) : ∀ᶠ a in l, f a < u :=
h.eventually <| eventually_lt_nhds hv
@[deprecated (since := "2024-11-17")]
alias eventually_lt_of_tendsto_lt := Filter.Tendsto.eventually_lt_const
theorem Filter.Tendsto.eventually_le_const {l : Filter γ} {f : γ → α} {u v : α} (hv : v < u)
(h : Tendsto f l (𝓝 v)) : ∀ᶠ a in l, f a ≤ u :=
h.eventually <| eventually_le_nhds hv
@[deprecated (since := "2024-11-17")]
alias eventually_le_of_tendsto_lt := Filter.Tendsto.eventually_le_const
protected theorem Dense.exists_lt [NoMinOrder α] {s : Set α} (hs : Dense s) (x : α) :
∃ y ∈ s, y < x :=
hs.orderDual.exists_gt x
protected theorem Dense.exists_le [NoMinOrder α] {s : Set α} (hs : Dense s) (x : α) :
∃ y ∈ s, y ≤ x :=
hs.orderDual.exists_ge x
theorem Dense.exists_le' {s : Set α} (hs : Dense s) (hbot : ∀ x, IsBot x → x ∈ s) (x : α) :
∃ y ∈ s, y ≤ x :=
hs.orderDual.exists_ge' hbot x
/-!
### Right neighborhoods on a `ClosedIciTopology`
Limits to the right of real functions are defined in terms of neighborhoods to the right,
either open or closed, i.e., members of `𝓝[>] a` and `𝓝[≥] a`.
Here we prove that all right-neighborhoods of a point are equal,
and we prove other useful characterizations which require the stronger hypothesis `OrderTopology α`
in another file.
-/
/-!
#### Point excluded
-/
theorem Ioo_mem_nhdsGT_of_mem (H : b ∈ Ico a c) : Ioo a c ∈ 𝓝[>] b :=
mem_nhdsWithin.2
⟨Iio c, isOpen_Iio, H.2, by rw [inter_comm, Ioi_inter_Iio]; exact Ioo_subset_Ioo_left H.1⟩
@[deprecated (since := "2024-12-22")] alias Ioo_mem_nhdsWithin_Ioi := Ioo_mem_nhdsGT_of_mem
theorem Ioo_mem_nhdsGT (H : a < b) : Ioo a b ∈ 𝓝[>] a := Ioo_mem_nhdsGT_of_mem ⟨le_rfl, H⟩
@[deprecated (since := "2024-12-22")] alias Ioo_mem_nhdsWithin_Ioi' := Ioo_mem_nhdsGT
protected theorem CovBy.nhdsGT (h : a ⋖ b) : 𝓝[>] a = ⊥ := h.toDual.nhdsLT
@[deprecated (since := "2024-12-22")] alias CovBy.nhdsWithin_Ioi := CovBy.nhdsGT
protected theorem SuccOrder.nhdsGT [SuccOrder α] : 𝓝[>] a = ⊥ := PredOrder.nhdsLT (α := αᵒᵈ)
@[deprecated (since := "2024-12-22")] alias SuccOrder.nhdsWithin_Ioi := SuccOrder.nhdsGT
theorem SuccOrder.nhdsLT_eq_nhdsNE [SuccOrder α] (a : α) : 𝓝[<] a = 𝓝[≠] a :=
PredOrder.nhdsGT_eq_nhdsNE (α := αᵒᵈ) a
theorem SuccOrder.nhdsLE_eq_nhds [SuccOrder α] (a : α) : 𝓝[≤] a = 𝓝 a :=
PredOrder.nhdsGE_eq_nhds (α := αᵒᵈ) a
theorem Ioc_mem_nhdsGT_of_mem (H : b ∈ Ico a c) : Ioc a c ∈ 𝓝[>] b :=
mem_of_superset (Ioo_mem_nhdsGT_of_mem H) Ioo_subset_Ioc_self
@[deprecated (since := "2024-12-22")]
alias Ioc_mem_nhdsWithin_Ioi := Ioc_mem_nhdsGT_of_mem
theorem Ioc_mem_nhdsGT (H : a < b) : Ioc a b ∈ 𝓝[>] a := Ioc_mem_nhdsGT_of_mem ⟨le_rfl, H⟩
@[deprecated (since := "2024-12-22")] alias Ioc_mem_nhdsWithin_Ioi' := Ioc_mem_nhdsGT
theorem Ico_mem_nhdsGT_of_mem (H : b ∈ Ico a c) : Ico a c ∈ 𝓝[>] b :=
mem_of_superset (Ioo_mem_nhdsGT_of_mem H) Ioo_subset_Ico_self
@[deprecated (since := "2024-12-22")] alias Ico_mem_nhdsWithin_Ioi := Ico_mem_nhdsGT_of_mem
theorem Ico_mem_nhdsGT (H : a < b) : Ico a b ∈ 𝓝[>] a := Ico_mem_nhdsGT_of_mem ⟨le_rfl, H⟩
@[deprecated (since := "2024-12-22")] alias Ico_mem_nhdsWithin_Ioi' := Ico_mem_nhdsGT
theorem Icc_mem_nhdsGT_of_mem (H : b ∈ Ico a c) : Icc a c ∈ 𝓝[>] b :=
mem_of_superset (Ioo_mem_nhdsGT_of_mem H) Ioo_subset_Icc_self
@[deprecated (since := "2024-12-22")] alias Icc_mem_nhdsWithin_Ioi := Icc_mem_nhdsGT_of_mem
theorem Icc_mem_nhdsGT (H : a < b) : Icc a b ∈ 𝓝[>] a := Icc_mem_nhdsGT_of_mem ⟨le_rfl, H⟩
@[deprecated (since := "2024-12-22")] alias Icc_mem_nhdsWithin_Ioi' := Icc_mem_nhdsGT
@[simp]
theorem nhdsWithin_Ioc_eq_nhdsGT (h : a < b) : 𝓝[Ioc a b] a = 𝓝[>] a :=
nhdsWithin_inter_of_mem' <| nhdsWithin_le_nhds <| Iic_mem_nhds h
@[deprecated (since := "2024-12-22")]
alias nhdsWithin_Ioc_eq_nhdsWithin_Ioi := nhdsWithin_Ioc_eq_nhdsGT
@[simp]
theorem nhdsWithin_Ioo_eq_nhdsGT (h : a < b) : 𝓝[Ioo a b] a = 𝓝[>] a :=
| nhdsWithin_inter_of_mem' <| nhdsWithin_le_nhds <| Iio_mem_nhds h
@[deprecated (since := "2024-12-22")]
| Mathlib/Topology/Order/OrderClosed.lean | 608 | 610 |
/-
Copyright (c) 2018 Johannes Hölzl. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Johannes Hölzl
-/
import Mathlib.Logic.Relator
import Mathlib.Tactic.Use
import Mathlib.Tactic.MkIffOfInductiveProp
import Mathlib.Tactic.SimpRw
import Mathlib.Logic.Basic
import Mathlib.Order.Defs.Unbundled
/-!
# Relation closures
This file defines the reflexive, transitive, reflexive transitive and equivalence closures
of relations and proves some basic results on them.
Note that this is about unbundled relations, that is terms of types of the form `α → β → Prop`. For
the bundled version, see `Rel`.
## Definitions
* `Relation.ReflGen`: Reflexive closure. `ReflGen r` relates everything `r` related, plus for all
`a` it relates `a` with itself. So `ReflGen r a b ↔ r a b ∨ a = b`.
* `Relation.TransGen`: Transitive closure. `TransGen r` relates everything `r` related
transitively. So `TransGen r a b ↔ ∃ x₀ ... xₙ, r a x₀ ∧ r x₀ x₁ ∧ ... ∧ r xₙ b`.
* `Relation.ReflTransGen`: Reflexive transitive closure. `ReflTransGen r` relates everything
`r` related transitively, plus for all `a` it relates `a` with itself. So
`ReflTransGen r a b ↔ (∃ x₀ ... xₙ, r a x₀ ∧ r x₀ x₁ ∧ ... ∧ r xₙ b) ∨ a = b`. It is the same as
the reflexive closure of the transitive closure, or the transitive closure of the reflexive
closure. In terms of rewriting systems, this means that `a` can be rewritten to `b` in a number of
rewrites.
* `Relation.EqvGen`: Equivalence closure. `EqvGen r` relates everything `ReflTransGen r` relates,
plus for all related pairs it relates them in the opposite order.
* `Relation.Comp`: Relation composition. We provide notation `∘r`. For `r : α → β → Prop` and
`s : β → γ → Prop`, `r ∘r s`relates `a : α` and `c : γ` iff there exists `b : β` that's related to
both.
* `Relation.Map`: Image of a relation under a pair of maps. For `r : α → β → Prop`, `f : α → γ`,
`g : β → δ`, `Map r f g` is the relation `γ → δ → Prop` relating `f a` and `g b` for all `a`, `b`
related by `r`.
* `Relation.Join`: Join of a relation. For `r : α → α → Prop`, `Join r a b ↔ ∃ c, r a c ∧ r b c`. In
terms of rewriting systems, this means that `a` and `b` can be rewritten to the same term.
-/
open Function
variable {α β γ δ ε ζ : Type*}
section NeImp
variable {r : α → α → Prop}
theorem IsRefl.reflexive [IsRefl α r] : Reflexive r := fun x ↦ IsRefl.refl x
/-- To show a reflexive relation `r : α → α → Prop` holds over `x y : α`,
it suffices to show it holds when `x ≠ y`. -/
theorem Reflexive.rel_of_ne_imp (h : Reflexive r) {x y : α} (hr : x ≠ y → r x y) : r x y := by
by_cases hxy : x = y
· exact hxy ▸ h x
· exact hr hxy
/-- If a reflexive relation `r : α → α → Prop` holds over `x y : α`,
then it holds whether or not `x ≠ y`. -/
theorem Reflexive.ne_imp_iff (h : Reflexive r) {x y : α} : x ≠ y → r x y ↔ r x y :=
⟨h.rel_of_ne_imp, fun hr _ ↦ hr⟩
/-- If a reflexive relation `r : α → α → Prop` holds over `x y : α`,
then it holds whether or not `x ≠ y`. Unlike `Reflexive.ne_imp_iff`, this uses `[IsRefl α r]`. -/
theorem reflexive_ne_imp_iff [IsRefl α r] {x y : α} : x ≠ y → r x y ↔ r x y :=
IsRefl.reflexive.ne_imp_iff
protected theorem Symmetric.iff (H : Symmetric r) (x y : α) : r x y ↔ r y x :=
⟨fun h ↦ H h, fun h ↦ H h⟩
theorem Symmetric.flip_eq (h : Symmetric r) : flip r = r :=
funext₂ fun _ _ ↦ propext <| h.iff _ _
theorem Symmetric.swap_eq : Symmetric r → swap r = r :=
Symmetric.flip_eq
theorem flip_eq_iff : flip r = r ↔ Symmetric r :=
⟨fun h _ _ ↦ (congr_fun₂ h _ _).mp, Symmetric.flip_eq⟩
theorem swap_eq_iff : swap r = r ↔ Symmetric r :=
flip_eq_iff
end NeImp
section Comap
variable {r : β → β → Prop}
theorem Reflexive.comap (h : Reflexive r) (f : α → β) : Reflexive (r on f) := fun a ↦ h (f a)
theorem Symmetric.comap (h : Symmetric r) (f : α → β) : Symmetric (r on f) := fun _ _ hab ↦ h hab
theorem Transitive.comap (h : Transitive r) (f : α → β) : Transitive (r on f) :=
fun _ _ _ hab hbc ↦ h hab hbc
theorem Equivalence.comap (h : Equivalence r) (f : α → β) : Equivalence (r on f) :=
⟨fun a ↦ h.refl (f a), h.symm, h.trans⟩
end Comap
namespace Relation
section Comp
variable {r : α → β → Prop} {p : β → γ → Prop} {q : γ → δ → Prop}
/-- The composition of two relations, yielding a new relation. The result
relates a term of `α` and a term of `γ` if there is an intermediate
term of `β` related to both.
-/
def Comp (r : α → β → Prop) (p : β → γ → Prop) (a : α) (c : γ) : Prop :=
∃ b, r a b ∧ p b c
@[inherit_doc]
local infixr:80 " ∘r " => Relation.Comp
@[simp]
theorem comp_eq_fun (f : γ → β) : r ∘r (· = f ·) = (r · <| f ·) := by
ext x y
simp [Comp]
@[simp]
theorem comp_eq : r ∘r (· = ·) = r := comp_eq_fun ..
@[simp]
theorem fun_eq_comp (f : γ → α) : (f · = ·) ∘r r = (r <| f ·) := by
ext x y
simp [Comp]
@[simp]
theorem eq_comp : (· = ·) ∘r r = r := fun_eq_comp ..
@[simp]
theorem iff_comp {r : Prop → α → Prop} : (· ↔ ·) ∘r r = r := by
have : (· ↔ ·) = (· = ·) := by funext a b; exact iff_eq_eq
rw [this, eq_comp]
@[simp]
theorem comp_iff {r : α → Prop → Prop} : r ∘r (· ↔ ·) = r := by
have : (· ↔ ·) = (· = ·) := by funext a b; exact iff_eq_eq
rw [this, comp_eq]
theorem comp_assoc : (r ∘r p) ∘r q = r ∘r p ∘r q := by
funext a d
apply propext
constructor
· exact fun ⟨c, ⟨b, hab, hbc⟩, hcd⟩ ↦ ⟨b, hab, c, hbc, hcd⟩
· exact fun ⟨b, hab, c, hbc, hcd⟩ ↦ ⟨c, ⟨b, hab, hbc⟩, hcd⟩
theorem flip_comp : flip (r ∘r p) = flip p ∘r flip r := by
funext c a
apply propext
constructor
· exact fun ⟨b, hab, hbc⟩ ↦ ⟨b, hbc, hab⟩
· exact fun ⟨b, hbc, hab⟩ ↦ ⟨b, hab, hbc⟩
end Comp
section Fibration
variable (rα : α → α → Prop) (rβ : β → β → Prop) (f : α → β)
/-- A function `f : α → β` is a fibration between the relation `rα` and `rβ` if for all
`a : α` and `b : β`, whenever `b : β` and `f a` are related by `rβ`, `b` is the image
of some `a' : α` under `f`, and `a'` and `a` are related by `rα`. -/
def Fibration :=
∀ ⦃a b⦄, rβ b (f a) → ∃ a', rα a' a ∧ f a' = b
variable {rα rβ}
/-- If `f : α → β` is a fibration between relations `rα` and `rβ`, and `a : α` is
accessible under `rα`, then `f a` is accessible under `rβ`. -/
theorem _root_.Acc.of_fibration (fib : Fibration rα rβ f) {a} (ha : Acc rα a) : Acc rβ (f a) := by
induction ha with | intro a _ ih => ?_
refine Acc.intro (f a) fun b hr ↦ ?_
obtain ⟨a', hr', rfl⟩ := fib hr
exact ih a' hr'
theorem _root_.Acc.of_downward_closed (dc : ∀ {a b}, rβ b (f a) → ∃ c, f c = b) (a : α)
(ha : Acc (InvImage rβ f) a) : Acc rβ (f a) :=
ha.of_fibration f fun a _ h ↦
let ⟨a', he⟩ := dc h
⟨a', by simp_all [InvImage], he⟩
end Fibration
section Map
variable {r : α → β → Prop} {f : α → γ} {g : β → δ} {c : γ} {d : δ}
/-- The map of a relation `r` through a pair of functions pushes the
relation to the codomains of the functions. The resulting relation is
defined by having pairs of terms related if they have preimages
related by `r`.
-/
protected def Map (r : α → β → Prop) (f : α → γ) (g : β → δ) : γ → δ → Prop := fun c d ↦
∃ a b, r a b ∧ f a = c ∧ g b = d
lemma map_apply : Relation.Map r f g c d ↔ ∃ a b, r a b ∧ f a = c ∧ g b = d := Iff.rfl
@[simp] lemma map_map (r : α → β → Prop) (f₁ : α → γ) (g₁ : β → δ) (f₂ : γ → ε) (g₂ : δ → ζ) :
Relation.Map (Relation.Map r f₁ g₁) f₂ g₂ = Relation.Map r (f₂ ∘ f₁) (g₂ ∘ g₁) := by
ext a b
simp_rw [Relation.Map, Function.comp_apply, ← exists_and_right, @exists_comm γ, @exists_comm δ]
refine exists₂_congr fun a b ↦ ⟨?_, fun h ↦ ⟨_, _, ⟨⟨h.1, rfl, rfl⟩, h.2⟩⟩⟩
rintro ⟨_, _, ⟨hab, rfl, rfl⟩, h⟩
exact ⟨hab, h⟩
@[simp]
lemma map_apply_apply (hf : Injective f) (hg : Injective g) (r : α → β → Prop) (a : α) (b : β) :
Relation.Map r f g (f a) (g b) ↔ r a b := by simp [Relation.Map, hf.eq_iff, hg.eq_iff]
@[simp] lemma map_id_id (r : α → β → Prop) : Relation.Map r id id = r := by ext; simp [Relation.Map]
instance [Decidable (∃ a b, r a b ∧ f a = c ∧ g b = d)] : Decidable (Relation.Map r f g c d) :=
‹Decidable _›
lemma map_reflexive {r : α → α → Prop} (hr : Reflexive r) {f : α → β} (hf : f.Surjective) :
Reflexive (Relation.Map r f f) := by
intro x
obtain ⟨y, rfl⟩ := hf x
exact ⟨y, y, hr y, rfl, rfl⟩
lemma map_symmetric {r : α → α → Prop} (hr : Symmetric r) (f : α → β) :
Symmetric (Relation.Map r f f) := by
rintro _ _ ⟨x, y, hxy, rfl, rfl⟩; exact ⟨_, _, hr hxy, rfl, rfl⟩
lemma map_transitive {r : α → α → Prop} (hr : Transitive r) {f : α → β}
(hf : ∀ x y, f x = f y → r x y) :
Transitive (Relation.Map r f f) := by
rintro _ _ _ ⟨x, y, hxy, rfl, rfl⟩ ⟨y', z, hyz, hy, rfl⟩
exact ⟨x, z, hr hxy <| hr (hf _ _ hy.symm) hyz, rfl, rfl⟩
lemma map_equivalence {r : α → α → Prop} (hr : Equivalence r) (f : α → β)
(hf : f.Surjective) (hf_ker : ∀ x y, f x = f y → r x y) :
Equivalence (Relation.Map r f f) where
refl := map_reflexive hr.reflexive hf
symm := @(map_symmetric hr.symmetric _)
trans := @(map_transitive hr.transitive hf_ker)
-- TODO: state this using `≤`, after adjusting imports.
lemma map_mono {r s : α → β → Prop} {f : α → γ} {g : β → δ} (h : ∀ x y, r x y → s x y) :
∀ x y, Relation.Map r f g x y → Relation.Map s f g x y :=
fun _ _ ⟨x, y, hxy, hx, hy⟩ => ⟨x, y, h _ _ hxy, hx, hy⟩
end Map
variable {r : α → α → Prop} {a b c : α}
/-- `ReflTransGen r`: reflexive transitive closure of `r` -/
@[mk_iff ReflTransGen.cases_tail_iff]
inductive ReflTransGen (r : α → α → Prop) (a : α) : α → Prop
| refl : ReflTransGen r a a
| tail {b c} : ReflTransGen r a b → r b c → ReflTransGen r a c
attribute [refl] ReflTransGen.refl
/-- `ReflGen r`: reflexive closure of `r` -/
@[mk_iff]
inductive ReflGen (r : α → α → Prop) (a : α) : α → Prop
| refl : ReflGen r a a
| single {b} : r a b → ReflGen r a b
variable (r) in
/-- `EqvGen r`: equivalence closure of `r`. -/
@[mk_iff]
inductive EqvGen : α → α → Prop
| rel x y : r x y → EqvGen x y
| refl x : EqvGen x x
| symm x y : EqvGen x y → EqvGen y x
| trans x y z : EqvGen x y → EqvGen y z → EqvGen x z
attribute [mk_iff] TransGen
attribute [refl] ReflGen.refl
namespace ReflGen
theorem to_reflTransGen : ∀ {a b}, ReflGen r a b → ReflTransGen r a b
| a, _, refl => by rfl
| _, _, single h => ReflTransGen.tail ReflTransGen.refl h
theorem mono {p : α → α → Prop} (hp : ∀ a b, r a b → p a b) : ∀ {a b}, ReflGen r a b → ReflGen p a b
| a, _, ReflGen.refl => by rfl
| a, b, single h => single (hp a b h)
instance : IsRefl α (ReflGen r) :=
⟨@refl α r⟩
end ReflGen
namespace ReflTransGen
@[trans]
theorem trans (hab : ReflTransGen r a b) (hbc : ReflTransGen r b c) : ReflTransGen r a c := by
induction hbc with
| refl => assumption
| tail _ hcd hac => exact hac.tail hcd
theorem single (hab : r a b) : ReflTransGen r a b :=
refl.tail hab
theorem head (hab : r a b) (hbc : ReflTransGen r b c) : ReflTransGen r a c := by
induction hbc with
| refl => exact refl.tail hab
| tail _ hcd hac => exact hac.tail hcd
|
theorem symmetric (h : Symmetric r) : Symmetric (ReflTransGen r) := by
intro x y h
induction h with
| refl => rfl
| Mathlib/Logic/Relation.lean | 312 | 316 |
/-
Copyright (c) 2021 Oliver Nash. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Oliver Nash
-/
import Mathlib.LinearAlgebra.AffineSpace.Independent
import Mathlib.LinearAlgebra.AffineSpace.Pointwise
import Mathlib.LinearAlgebra.Basis.SMul
/-!
# Affine bases and barycentric coordinates
Suppose `P` is an affine space modelled on the module `V` over the ring `k`, and `p : ι → P` is an
affine-independent family of points spanning `P`. Given this data, each point `q : P` may be written
uniquely as an affine combination: `q = w₀ p₀ + w₁ p₁ + ⋯` for some (finitely-supported) weights
`wᵢ`. For each `i : ι`, we thus have an affine map `P →ᵃ[k] k`, namely `q ↦ wᵢ`. This family of
maps is known as the family of barycentric coordinates. It is defined in this file.
## The construction
Fixing `i : ι`, and allowing `j : ι` to range over the values `j ≠ i`, we obtain a basis `bᵢ` of `V`
defined by `bᵢ j = p j -ᵥ p i`. Let `fᵢ j : V →ₗ[k] k` be the corresponding dual basis and let
`fᵢ = ∑ j, fᵢ j : V →ₗ[k] k` be the corresponding "sum of all coordinates" form. Then the `i`th
barycentric coordinate of `q : P` is `1 - fᵢ (q -ᵥ p i)`.
## Main definitions
* `AffineBasis`: a structure representing an affine basis of an affine space.
* `AffineBasis.coord`: the map `P →ᵃ[k] k` corresponding to `i : ι`.
* `AffineBasis.coord_apply_eq`: the behaviour of `AffineBasis.coord i` on `p i`.
* `AffineBasis.coord_apply_ne`: the behaviour of `AffineBasis.coord i` on `p j` when `j ≠ i`.
* `AffineBasis.coord_apply`: the behaviour of `AffineBasis.coord i` on `p j` for general `j`.
* `AffineBasis.coord_apply_combination`: the characterisation of `AffineBasis.coord i` in terms
of affine combinations, i.e., `AffineBasis.coord i (w₀ p₀ + w₁ p₁ + ⋯) = wᵢ`.
## TODO
* Construct the affine equivalence between `P` and `{ f : ι →₀ k | f.sum = 1 }`.
-/
open Affine Set
open scoped Pointwise
universe u₁ u₂ u₃ u₄
/-- An affine basis is a family of affine-independent points whose span is the top subspace. -/
structure AffineBasis (ι : Type u₁) (k : Type u₂) {V : Type u₃} (P : Type u₄) [AddCommGroup V]
[AffineSpace V P] [Ring k] [Module k V] where
protected toFun : ι → P
protected ind' : AffineIndependent k toFun
protected tot' : affineSpan k (range toFun) = ⊤
variable {ι ι' G G' k V P : Type*} [AddCommGroup V] [AffineSpace V P]
namespace AffineBasis
section Ring
variable [Ring k] [Module k V] (b : AffineBasis ι k P) {s : Finset ι} {i j : ι} (e : ι ≃ ι')
/-- The unique point in a single-point space is the simplest example of an affine basis. -/
instance : Inhabited (AffineBasis PUnit k PUnit) :=
⟨⟨id, affineIndependent_of_subsingleton k id, by simp⟩⟩
instance instFunLike : FunLike (AffineBasis ι k P) ι P where
coe := AffineBasis.toFun
coe_injective' f g h := by cases f; cases g; congr
@[ext]
theorem ext {b₁ b₂ : AffineBasis ι k P} (h : (b₁ : ι → P) = b₂) : b₁ = b₂ :=
DFunLike.coe_injective h
theorem ind : AffineIndependent k b :=
b.ind'
theorem tot : affineSpan k (range b) = ⊤ :=
b.tot'
include b in
protected theorem nonempty : Nonempty ι :=
not_isEmpty_iff.mp fun hι => by
simpa only [@range_eq_empty _ _ hι, AffineSubspace.span_empty, bot_ne_top] using b.tot
/-- Composition of an affine basis and an equivalence of index types. -/
def reindex (e : ι ≃ ι') : AffineBasis ι' k P :=
⟨b ∘ e.symm, b.ind.comp_embedding e.symm.toEmbedding, by
rw [e.symm.surjective.range_comp]
exact b.3⟩
@[simp, norm_cast]
theorem coe_reindex : ⇑(b.reindex e) = b ∘ e.symm :=
rfl
@[simp]
theorem reindex_apply (i' : ι') : b.reindex e i' = b (e.symm i') :=
rfl
@[simp]
theorem reindex_refl : b.reindex (Equiv.refl _) = b :=
ext rfl
/-- Given an affine basis for an affine space `P`, if we single out one member of the family, we
obtain a linear basis for the model space `V`.
The linear basis corresponding to the singled-out member `i : ι` is indexed by `{j : ι // j ≠ i}`
and its `j`th element is `b j -ᵥ b i`. (See `basisOf_apply`.) -/
noncomputable def basisOf (i : ι) : Basis { j : ι // j ≠ i } k V :=
Basis.mk ((affineIndependent_iff_linearIndependent_vsub k b i).mp b.ind)
(by
suffices
Submodule.span k (range fun j : { x // x ≠ i } => b ↑j -ᵥ b i) = vectorSpan k (range b) by
rw [this, ← direction_affineSpan, b.tot, AffineSubspace.direction_top]
conv_rhs => rw [← image_univ]
rw [vectorSpan_image_eq_span_vsub_set_right_ne k b (mem_univ i)]
congr
ext v
simp)
@[simp]
theorem basisOf_apply (i : ι) (j : { j : ι // j ≠ i }) : b.basisOf i j = b ↑j -ᵥ b i := by
simp [basisOf]
@[simp]
theorem basisOf_reindex (i : ι') :
(b.reindex e).basisOf i =
(b.basisOf <| e.symm i).reindex (e.subtypeEquiv fun _ => e.eq_symm_apply.not) := by
ext j
simp
/-- The `i`th barycentric coordinate of a point. -/
noncomputable def coord (i : ι) : P →ᵃ[k] k where
toFun q := 1 - (b.basisOf i).sumCoords (q -ᵥ b i)
linear := -(b.basisOf i).sumCoords
map_vadd' q v := by
rw [vadd_vsub_assoc, LinearMap.map_add, vadd_eq_add, LinearMap.neg_apply,
sub_add_eq_sub_sub_swap, add_comm, sub_eq_add_neg]
@[simp]
theorem linear_eq_sumCoords (i : ι) : (b.coord i).linear = -(b.basisOf i).sumCoords :=
rfl
@[simp]
theorem coord_reindex (i : ι') : (b.reindex e).coord i = b.coord (e.symm i) := by
ext
classical simp [AffineBasis.coord]
@[simp]
theorem coord_apply_eq (i : ι) : b.coord i (b i) = 1 := by
simp only [coord, Basis.coe_sumCoords, LinearEquiv.map_zero, LinearEquiv.coe_coe, sub_zero,
AffineMap.coe_mk, Finsupp.sum_zero_index, vsub_self]
@[simp]
theorem coord_apply_ne (h : i ≠ j) : b.coord i (b j) = 0 := by
rw [coord, AffineMap.coe_mk, ← Subtype.coe_mk (p := (· ≠ i)) j h.symm, ← b.basisOf_apply,
Basis.sumCoords_self_apply, sub_self]
theorem coord_apply [DecidableEq ι] (i j : ι) : b.coord i (b j) = if i = j then 1 else 0 := by
rcases eq_or_ne i j with h | h <;> simp [h]
@[simp]
theorem coord_apply_combination_of_mem (hi : i ∈ s) {w : ι → k} (hw : s.sum w = 1) :
b.coord i (s.affineCombination k b w) = w i := by
classical simp only [coord_apply, hi, Finset.affineCombination_eq_linear_combination, if_true,
mul_boole, hw, Function.comp_apply, smul_eq_mul, s.sum_ite_eq,
s.map_affineCombination b w hw]
@[simp]
theorem coord_apply_combination_of_not_mem (hi : i ∉ s) {w : ι → k} (hw : s.sum w = 1) :
b.coord i (s.affineCombination k b w) = 0 := by
classical simp only [coord_apply, hi, Finset.affineCombination_eq_linear_combination, if_false,
mul_boole, hw, Function.comp_apply, smul_eq_mul, s.sum_ite_eq,
s.map_affineCombination b w hw]
@[simp]
theorem sum_coord_apply_eq_one [Fintype ι] (q : P) : ∑ i, b.coord i q = 1 := by
have hq : q ∈ affineSpan k (range b) := by
rw [b.tot]
exact AffineSubspace.mem_top k V q
obtain ⟨w, hw, rfl⟩ := eq_affineCombination_of_mem_affineSpan_of_fintype hq
convert hw
exact b.coord_apply_combination_of_mem (Finset.mem_univ _) hw
@[simp]
theorem affineCombination_coord_eq_self [Fintype ι] (q : P) :
(Finset.univ.affineCombination k b fun i => b.coord i q) = q := by
have hq : q ∈ affineSpan k (range b) := by
rw [b.tot]
exact AffineSubspace.mem_top k V q
obtain ⟨w, hw, rfl⟩ := eq_affineCombination_of_mem_affineSpan_of_fintype hq
congr
ext i
exact b.coord_apply_combination_of_mem (Finset.mem_univ i) hw
/-- A variant of `AffineBasis.affineCombination_coord_eq_self` for the special case when the
affine space is a module so we can talk about linear combinations. -/
@[simp]
theorem linear_combination_coord_eq_self [Fintype ι] (b : AffineBasis ι k V) (v : V) :
∑ i, b.coord i v • b i = v := by
have hb := b.affineCombination_coord_eq_self v
rwa [Finset.univ.affineCombination_eq_linear_combination _ _ (b.sum_coord_apply_eq_one v)] at hb
theorem ext_elem [Finite ι] {q₁ q₂ : P} (h : ∀ i, b.coord i q₁ = b.coord i q₂) : q₁ = q₂ := by
cases nonempty_fintype ι
rw [← b.affineCombination_coord_eq_self q₁, ← b.affineCombination_coord_eq_self q₂]
simp only [h]
@[simp]
theorem coe_coord_of_subsingleton_eq_one [Subsingleton ι] (i : ι) : (b.coord i : P → k) = 1 := by
ext q
have hp : (range b).Subsingleton := by
rw [← image_univ]
apply Subsingleton.image
apply subsingleton_of_subsingleton
haveI := AffineSubspace.subsingleton_of_subsingleton_span_eq_top hp b.tot
let s : Finset ι := {i}
have hi : i ∈ s := by simp [s]
have hw : s.sum (Function.const ι (1 : k)) = 1 := by simp [s]
have hq : q = s.affineCombination k b (Function.const ι (1 : k)) := by
simp [eq_iff_true_of_subsingleton]
rw [Pi.one_apply, hq, b.coord_apply_combination_of_mem hi hw, Function.const_apply]
theorem surjective_coord [Nontrivial ι] (i : ι) : Function.Surjective <| b.coord i := by
classical
intro x
obtain ⟨j, hij⟩ := exists_ne i
let s : Finset ι := {i, j}
have hi : i ∈ s := by simp [s]
let w : ι → k := fun j' => if j' = i then x else 1 - x
have hw : s.sum w = 1 := by simp [s, w, Finset.sum_ite, Finset.filter_insert, hij,
Finset.filter_true_of_mem, Finset.filter_false_of_mem]
use s.affineCombination k b w
simp [w, b.coord_apply_combination_of_mem hi hw]
/-- Barycentric coordinates as an affine map. -/
noncomputable def coords : P →ᵃ[k] ι → k where
toFun q i := b.coord i q
linear :=
{ toFun := fun v i => -(b.basisOf i).sumCoords v
map_add' := fun v w => by ext; simp only [LinearMap.map_add, Pi.add_apply, neg_add]
map_smul' := fun t v => by ext; simp }
map_vadd' p v := by ext; simp
@[simp]
theorem coords_apply (q : P) (i : ι) : b.coords q i = b.coord i q :=
rfl
instance instVAdd : VAdd V (AffineBasis ι k P) where
vadd x b :=
{ toFun := x +ᵥ ⇑b,
ind' := b.ind'.vadd,
tot' := by rw [Pi.vadd_def, ← vadd_set_range, ← AffineSubspace.pointwise_vadd_span, b.tot,
AffineSubspace.pointwise_vadd_top] }
| @[simp, norm_cast] lemma coe_vadd (v : V) (b : AffineBasis ι k P) : ⇑(v +ᵥ b) = v +ᵥ ⇑b := rfl
@[simp] lemma basisOf_vadd (v : V) (b : AffineBasis ι k P) : (v +ᵥ b).basisOf = b.basisOf := by
ext
simp
instance instAddAction : AddAction V (AffineBasis ι k P) :=
DFunLike.coe_injective.addAction _ coe_vadd
@[simp] lemma coord_vadd (v : V) (b : AffineBasis ι k P) :
(v +ᵥ b).coord i = (b.coord i).comp (AffineEquiv.constVAdd k P v).symm := by
| Mathlib/LinearAlgebra/AffineSpace/Basis.lean | 255 | 265 |
/-
Copyright (c) 2020 Fox Thomson. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Fox Thomson, Chris Wong
-/
import Mathlib.Computability.Language
import Mathlib.Data.Countable.Small
import Mathlib.Data.Fintype.Pigeonhole
import Mathlib.Tactic.NormNum
/-!
# Deterministic Finite Automata
A Deterministic Finite Automaton (DFA) is a state machine which
decides membership in a particular `Language`, by following a path
uniquely determined by an input string.
We define regular languages to be ones for which a DFA exists, other formulations
are later proved equivalent.
Note that this definition allows for automata with infinite states,
a `Fintype` instance must be supplied for true DFAs.
## Main definitions
- `DFA α σ`: automaton over alphabet `α` and set of states `σ`
- `M.accepts`: the language accepted by the DFA `M`
- `Language.IsRegular L`: a predicate stating that `L` is a regular language, i.e. there exists
a DFA that recognizes the language
## Main theorems
- `DFA.pumping_lemma` : every sufficiently long string accepted by the DFA has a substring that can
be repeated arbitrarily many times
## Implementation notes
Currently, there are two disjoint sets of simp lemmas: one for `DFA.eval`, and another for
`DFA.evalFrom`. You can switch from the former to the latter using `simp [eval]`.
## TODO
- Should we unify these simp sets, such that `eval` is rewritten to `evalFrom` automatically?
- Should `mem_accepts` and `mem_acceptsFrom` be marked `@[simp]`?
-/
universe u v
open Computability
/-- A DFA is a set of states (`σ`), a transition function from state to state labelled by the
alphabet (`step`), a starting state (`start`) and a set of acceptance states (`accept`). -/
structure DFA (α : Type u) (σ : Type v) where
/-- A transition function from state to state labelled by the alphabet. -/
step : σ → α → σ
/-- Starting state. -/
start : σ
/-- Set of acceptance states. -/
accept : Set σ
namespace DFA
variable {α : Type u} {σ : Type v} (M : DFA α σ)
instance [Inhabited σ] : Inhabited (DFA α σ) :=
⟨DFA.mk (fun _ _ => default) default ∅⟩
/-- `M.evalFrom s x` evaluates `M` with input `x` starting from the state `s`. -/
def evalFrom (s : σ) : List α → σ :=
List.foldl M.step s
@[simp]
theorem evalFrom_nil (s : σ) : M.evalFrom s [] = s :=
rfl
@[simp]
theorem evalFrom_singleton (s : σ) (a : α) : M.evalFrom s [a] = M.step s a :=
rfl
@[simp]
theorem evalFrom_append_singleton (s : σ) (x : List α) (a : α) :
M.evalFrom s (x ++ [a]) = M.step (M.evalFrom s x) a := by
simp only [evalFrom, List.foldl_append, List.foldl_cons, List.foldl_nil]
/-- `M.eval x` evaluates `M` with input `x` starting from the state `M.start`. -/
def eval : List α → σ :=
M.evalFrom M.start
@[simp]
theorem eval_nil : M.eval [] = M.start :=
rfl
@[simp]
theorem eval_singleton (a : α) : M.eval [a] = M.step M.start a :=
rfl
@[simp]
theorem eval_append_singleton (x : List α) (a : α) : M.eval (x ++ [a]) = M.step (M.eval x) a :=
evalFrom_append_singleton _ _ _ _
theorem evalFrom_of_append (start : σ) (x y : List α) :
M.evalFrom start (x ++ y) = M.evalFrom (M.evalFrom start x) y :=
List.foldl_append
/--
`M.acceptsFrom s` is the language of `x` such that `M.evalFrom s x` is an accept state.
-/
def acceptsFrom (s : σ) : Language α := {x | M.evalFrom s x ∈ M.accept}
theorem mem_acceptsFrom {s : σ} {x : List α} :
x ∈ M.acceptsFrom s ↔ M.evalFrom s x ∈ M.accept := by rfl
/-- `M.accepts` is the language of `x` such that `M.eval x` is an accept state. -/
def accepts : Language α := M.acceptsFrom M.start
theorem mem_accepts {x : List α} : x ∈ M.accepts ↔ M.eval x ∈ M.accept := by rfl
theorem evalFrom_split [Fintype σ] {x : List α} {s t : σ} (hlen : Fintype.card σ ≤ x.length)
(hx : M.evalFrom s x = t) :
∃ q a b c,
x = a ++ b ++ c ∧
a.length + b.length ≤ Fintype.card σ ∧
b ≠ [] ∧ M.evalFrom s a = q ∧ M.evalFrom q b = q ∧ M.evalFrom q c = t := by
obtain ⟨n, m, hneq, heq⟩ :=
Fintype.exists_ne_map_eq_of_card_lt
(fun n : Fin (Fintype.card σ + 1) => M.evalFrom s (x.take n)) (by norm_num)
wlog hle : (n : ℕ) ≤ m generalizing n m
· exact this m n hneq.symm heq.symm (le_of_not_le hle)
have hm : (m : ℕ) ≤ Fintype.card σ := Fin.is_le m
refine
⟨M.evalFrom s ((x.take m).take n), (x.take m).take n, (x.take m).drop n,
x.drop m, ?_, ?_, ?_, by rfl, ?_⟩
· rw [List.take_append_drop, List.take_append_drop]
· simp only [List.length_drop, List.length_take]
rw [min_eq_left (hm.trans hlen), min_eq_left hle, add_tsub_cancel_of_le hle]
exact hm
· intro h
have hlen' := congr_arg List.length h
simp only [List.length_drop, List.length, List.length_take] at hlen'
rw [min_eq_left, tsub_eq_zero_iff_le] at hlen'
· apply hneq
apply le_antisymm
assumption'
exact hm.trans hlen
have hq : M.evalFrom (M.evalFrom s ((x.take m).take n)) ((x.take m).drop n) =
M.evalFrom s ((x.take m).take n) := by
rw [List.take_take, min_eq_left hle, ← evalFrom_of_append, heq, ← min_eq_left hle, ←
List.take_take, min_eq_left hle, List.take_append_drop]
use hq
| rwa [← hq, ← evalFrom_of_append, ← evalFrom_of_append, ← List.append_assoc,
List.take_append_drop, List.take_append_drop]
theorem evalFrom_of_pow {x y : List α} {s : σ} (hx : M.evalFrom s x = s)
(hy : y ∈ ({x} : Language α)∗) : M.evalFrom s y = s := by
rw [Language.mem_kstar] at hy
rcases hy with ⟨S, rfl, hS⟩
induction' S with a S ih
· rfl
· have ha := hS a List.mem_cons_self
rw [Set.mem_singleton_iff] at ha
rw [List.flatten, evalFrom_of_append, ha, hx]
apply ih
intro z hz
exact hS z (List.mem_cons_of_mem a hz)
| Mathlib/Computability/DFA.lean | 150 | 165 |
/-
Copyright (c) 2020 Yury Kudryashov. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yury Kudryashov, Patrick Massot, Sébastien Gouëzel
-/
import Mathlib.MeasureTheory.Integral.IntervalIntegral.Basic
import Mathlib.MeasureTheory.Integral.IntervalIntegral.FundThmCalculus
import Mathlib.MeasureTheory.Integral.IntervalIntegral.IntegrationByParts
deprecated_module (since := "2025-04-13")
| Mathlib/MeasureTheory/Integral/IntervalIntegral.lean | 759 | 761 | |
/-
Copyright (c) 2014 Jeremy Avigad. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Jeremy Avigad, Leonardo de Moura, Floris van Doorn, Yury Kudryashov, Neil Strickland
-/
import Mathlib.Algebra.Divisibility.Hom
import Mathlib.Algebra.Group.Equiv.Basic
import Mathlib.Algebra.Ring.Defs
import Mathlib.Data.Nat.Basic
/-!
# Lemmas about divisibility in rings
Note that this file is imported by basic tactics like `linarith` and so must have only minimal
imports. Further results about divisibility in rings may be found in
`Mathlib.Algebra.Ring.Divisibility.Lemmas` which is not subject to this import constraint.
-/
variable {α β : Type*}
section Semigroup
variable [Semigroup α] [Semigroup β] {F : Type*} [EquivLike F α β] [MulEquivClass F α β]
theorem map_dvd_iff (f : F) {a b} : f a ∣ f b ↔ a ∣ b :=
let f := MulEquivClass.toMulEquiv f
⟨fun h ↦ by rw [← f.left_inv a, ← f.left_inv b]; exact map_dvd f.symm h, map_dvd f⟩
theorem MulEquiv.decompositionMonoid (f : F) [DecompositionMonoid β] : DecompositionMonoid α where
primal a b c h := by
rw [← map_dvd_iff f, map_mul] at h
obtain ⟨a₁, a₂, h⟩ := DecompositionMonoid.primal _ h
refine ⟨symm f a₁, symm f a₂, ?_⟩
simp_rw [← map_dvd_iff f, ← map_mul, eq_symm_apply]
iterate 2 erw [(f : α ≃* β).apply_symm_apply]
exact h
/--
If `G` is a `LeftCancelSemiGroup`, left multiplication by `g` yields an equivalence between `G`
and the set of elements of `G` divisible by `g`.
-/
protected noncomputable def Equiv.dvd {G : Type*} [LeftCancelSemigroup G] (g : G) :
G ≃ {a : G // g ∣ a} where
toFun := fun a ↦ ⟨g * a, ⟨a, rfl⟩⟩
invFun := fun ⟨_, h⟩ ↦ h.choose
left_inv := fun _ ↦ by simp
right_inv := by
rintro ⟨_, ⟨_, rfl⟩⟩
simp
@[simp]
theorem Equiv.dvd_apply {G : Type*} [LeftCancelSemigroup G] (g a : G) :
Equiv.dvd g a = g * a := rfl
end Semigroup
section DistribSemigroup
variable [Add α] [Semigroup α]
theorem dvd_add [LeftDistribClass α] {a b c : α} (h₁ : a ∣ b) (h₂ : a ∣ c) : a ∣ b + c :=
Dvd.elim h₁ fun d hd => Dvd.elim h₂ fun e he => Dvd.intro (d + e) (by simp [left_distrib, hd, he])
alias Dvd.dvd.add := dvd_add
end DistribSemigroup
section Semiring
variable [Semiring α] {a b c : α} {m n : ℕ}
lemma min_pow_dvd_add (ha : c ^ m ∣ a) (hb : c ^ n ∣ b) : c ^ min m n ∣ a + b :=
((pow_dvd_pow c (m.min_le_left n)).trans ha).add ((pow_dvd_pow c (m.min_le_right n)).trans hb)
end Semiring
section NonUnitalCommSemiring
variable [NonUnitalCommSemiring α]
theorem Dvd.dvd.linear_comb {d x y : α} (hdx : d ∣ x) (hdy : d ∣ y) (a b : α) : d ∣ a * x + b * y :=
dvd_add (hdx.mul_left a) (hdy.mul_left b)
end NonUnitalCommSemiring
section Semigroup
variable [Semigroup α] [HasDistribNeg α] {a b : α}
/-- An element `a` of a semigroup with a distributive negation divides the negation of an element
`b` iff `a` divides `b`. -/
@[simp]
theorem dvd_neg : a ∣ -b ↔ a ∣ b :=
(Equiv.neg _).exists_congr_left.trans <| by
simp only [Equiv.neg_symm, Equiv.neg_apply, mul_neg, neg_inj, Dvd.dvd]
/-- The negation of an element `a` of a semigroup with a distributive negation divides another
element `b` iff `a` divides `b`. -/
@[simp]
theorem neg_dvd : -a ∣ b ↔ a ∣ b :=
(Equiv.neg _).exists_congr_left.trans <| by
simp only [Equiv.neg_symm, Equiv.neg_apply, mul_neg, neg_mul, neg_neg, Dvd.dvd]
alias ⟨Dvd.dvd.of_neg_left, Dvd.dvd.neg_left⟩ := neg_dvd
alias ⟨Dvd.dvd.of_neg_right, Dvd.dvd.neg_right⟩ := dvd_neg
end Semigroup
section NonUnitalRing
variable [NonUnitalRing α] {a b c : α}
theorem dvd_sub (h₁ : a ∣ b) (h₂ : a ∣ c) : a ∣ b - c := by
simpa only [← sub_eq_add_neg] using h₁.add h₂.neg_right
alias Dvd.dvd.sub := dvd_sub
/-- If an element `a` divides another element `c` in a ring, `a` divides the sum of another element
`b` with `c` iff `a` divides `b`. -/
theorem dvd_add_left (h : a ∣ c) : a ∣ b + c ↔ a ∣ b :=
⟨fun H => by simpa only [add_sub_cancel_right] using dvd_sub H h, fun h₂ => dvd_add h₂ h⟩
/-- If an element `a` divides another element `b` in a ring, `a` divides the sum of `b` and another
element `c` iff `a` divides `c`. -/
theorem dvd_add_right (h : a ∣ b) : a ∣ b + c ↔ a ∣ c := by rw [add_comm]; exact dvd_add_left h
/-- If an element `a` divides another element `c` in a ring, `a` divides the difference of another
element `b` with `c` iff `a` divides `b`. -/
theorem dvd_sub_left (h : a ∣ c) : a ∣ b - c ↔ a ∣ b := by
simpa only [← sub_eq_add_neg] using dvd_add_left (dvd_neg.2 h)
/-- If an element `a` divides another element `b` in a ring, `a` divides the difference of `b` and
another element `c` iff `a` divides `c`. -/
theorem dvd_sub_right (h : a ∣ b) : a ∣ b - c ↔ a ∣ c := by
rw [sub_eq_add_neg, dvd_add_right h, dvd_neg]
theorem dvd_iff_dvd_of_dvd_sub (h : a ∣ b - c) : a ∣ b ↔ a ∣ c := by
rw [← sub_add_cancel b c, dvd_add_right h]
theorem dvd_sub_comm : a ∣ b - c ↔ a ∣ c - b := by rw [← dvd_neg, neg_sub]
end NonUnitalRing
section Ring
variable [Ring α] {a b : α}
/-- An element a divides the sum a + b if and only if a divides b. -/
@[simp]
theorem dvd_add_self_left {a b : α} : a ∣ a + b ↔ a ∣ b :=
dvd_add_right (dvd_refl a)
/-- An element a divides the sum b + a if and only if a divides b. -/
@[simp]
theorem dvd_add_self_right {a b : α} : a ∣ b + a ↔ a ∣ b :=
dvd_add_left (dvd_refl a)
/-- An element `a` divides the difference `a - b` if and only if `a` divides `b`. -/
@[simp]
theorem dvd_sub_self_left : a ∣ a - b ↔ a ∣ b :=
dvd_sub_right dvd_rfl
/-- An element `a` divides the difference `b - a` if and only if `a` divides `b`. -/
@[simp]
theorem dvd_sub_self_right : a ∣ b - a ↔ a ∣ b :=
dvd_sub_left dvd_rfl
end Ring
section NonUnitalCommRing
variable [NonUnitalCommRing α]
theorem dvd_mul_sub_mul {k a b x y : α} (hab : k ∣ a - b) (hxy : k ∣ x - y) :
k ∣ a * x - b * y := by
convert dvd_add (hxy.mul_left a) (hab.mul_right y) using 1
rw [mul_sub_left_distrib, mul_sub_right_distrib]
simp only [sub_eq_add_neg, add_assoc, neg_add_cancel_left]
end NonUnitalCommRing
| Mathlib/Algebra/Ring/Divisibility/Basic.lean | 195 | 199 | |
/-
Copyright (c) 2017 Johannes Hölzl. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Johannes Hölzl, Yury Kudryashov, Kexing Ying
-/
import Mathlib.Topology.Semicontinuous
import Mathlib.MeasureTheory.Function.AEMeasurableSequence
import Mathlib.MeasureTheory.Order.Lattice
import Mathlib.Topology.Order.Lattice
import Mathlib.MeasureTheory.Constructions.BorelSpace.Basic
/-!
# Borel sigma algebras on spaces with orders
## Main statements
* `borel_eq_generateFrom_Ixx` (where Ixx is one of {Iio, Ioi, Iic, Ici, Ico, Ioc}):
The Borel sigma algebra of a linear order topology is generated by intervals of the given kind.
* `Dense.borel_eq_generateFrom_Ico_mem`, `Dense.borel_eq_generateFrom_Ioc_mem`:
The Borel sigma algebra of a dense linear order topology is generated by intervals of a given
kind, with endpoints from dense subsets.
* `ext_of_Ico`, `ext_of_Ioc`:
A locally finite Borel measure on a second countable conditionally complete linear order is
characterized by the measures of intervals of the given kind.
* `ext_of_Iic`, `ext_of_Ici`:
A finite Borel measure on a second countable linear order is characterized by the measures of
intervals of the given kind.
* `UpperSemicontinuous.measurable`, `LowerSemicontinuous.measurable`:
Semicontinuous functions are measurable.
* `Measurable.iSup`, `Measurable.iInf`, `Measurable.sSup`, `Measurable.sInf`:
Countable supremums and infimums of measurable functions to conditionally complete linear orders
are measurable.
* `Measurable.liminf`, `Measurable.limsup`:
Countable liminfs and limsups of measurable functions to conditionally complete linear orders
are measurable.
-/
open Set Filter MeasureTheory MeasurableSpace TopologicalSpace
open scoped Topology NNReal ENNReal MeasureTheory
universe u v w x y
variable {α β γ δ : Type*} {ι : Sort y} {s t u : Set α}
section OrderTopology
variable (α)
variable [TopologicalSpace α] [SecondCountableTopology α] [LinearOrder α] [OrderTopology α]
theorem borel_eq_generateFrom_Iio : borel α = .generateFrom (range Iio) := by
refine le_antisymm ?_ (generateFrom_le ?_)
· rw [borel_eq_generateFrom_of_subbasis (@OrderTopology.topology_eq_generate_intervals α _ _ _)]
letI : MeasurableSpace α := MeasurableSpace.generateFrom (range Iio)
have H : ∀ a : α, MeasurableSet (Iio a) := fun a => GenerateMeasurable.basic _ ⟨_, rfl⟩
refine generateFrom_le ?_
rintro _ ⟨a, rfl | rfl⟩
· rcases em (∃ b, a ⋖ b) with ⟨b, hb⟩ | hcovBy
· rw [hb.Ioi_eq, ← compl_Iio]
exact (H _).compl
· rcases isOpen_biUnion_countable (Ioi a) Ioi fun _ _ ↦ isOpen_Ioi with ⟨t, hat, htc, htU⟩
have : Ioi a = ⋃ b ∈ t, Ici b := by
refine Subset.antisymm ?_ <| iUnion₂_subset fun b hb ↦ Ici_subset_Ioi.2 (hat hb)
refine Subset.trans ?_ <| iUnion₂_mono fun _ _ ↦ Ioi_subset_Ici_self
simpa [CovBy, htU, subset_def] using hcovBy
simp only [this, ← compl_Iio]
exact .biUnion htc <| fun _ _ ↦ (H _).compl
· apply H
· rw [forall_mem_range]
intro a
exact GenerateMeasurable.basic _ isOpen_Iio
theorem borel_eq_generateFrom_Ioi : borel α = .generateFrom (range Ioi) :=
@borel_eq_generateFrom_Iio αᵒᵈ _ (by infer_instance : SecondCountableTopology α) _ _
theorem borel_eq_generateFrom_Iic :
borel α = MeasurableSpace.generateFrom (range Iic) := by
rw [borel_eq_generateFrom_Ioi]
refine le_antisymm ?_ ?_
· refine MeasurableSpace.generateFrom_le fun t ht => ?_
obtain ⟨u, rfl⟩ := ht
rw [← compl_Iic]
exact (MeasurableSpace.measurableSet_generateFrom (mem_range.mpr ⟨u, rfl⟩)).compl
· refine MeasurableSpace.generateFrom_le fun t ht => ?_
obtain ⟨u, rfl⟩ := ht
rw [← compl_Ioi]
exact (MeasurableSpace.measurableSet_generateFrom (mem_range.mpr ⟨u, rfl⟩)).compl
theorem borel_eq_generateFrom_Ici : borel α = MeasurableSpace.generateFrom (range Ici) :=
@borel_eq_generateFrom_Iic αᵒᵈ _ _ _ _
end OrderTopology
section Orders
variable [TopologicalSpace α] {mα : MeasurableSpace α} [OpensMeasurableSpace α]
variable {mδ : MeasurableSpace δ}
section Preorder
variable [Preorder α] [OrderClosedTopology α] {a b x : α} {μ : Measure α}
@[simp, measurability]
theorem measurableSet_Ici : MeasurableSet (Ici a) :=
isClosed_Ici.measurableSet
theorem nullMeasurableSet_Ici : NullMeasurableSet (Ici a) μ :=
measurableSet_Ici.nullMeasurableSet
@[simp, measurability]
theorem measurableSet_Iic : MeasurableSet (Iic a) :=
isClosed_Iic.measurableSet
theorem nullMeasurableSet_Iic : NullMeasurableSet (Iic a) μ :=
measurableSet_Iic.nullMeasurableSet
@[simp, measurability]
theorem measurableSet_Icc : MeasurableSet (Icc a b) :=
isClosed_Icc.measurableSet
theorem nullMeasurableSet_Icc : NullMeasurableSet (Icc a b) μ :=
measurableSet_Icc.nullMeasurableSet
instance nhdsWithin_Ici_isMeasurablyGenerated : (𝓝[Ici b] a).IsMeasurablyGenerated :=
measurableSet_Ici.nhdsWithin_isMeasurablyGenerated _
instance nhdsWithin_Iic_isMeasurablyGenerated : (𝓝[Iic b] a).IsMeasurablyGenerated :=
measurableSet_Iic.nhdsWithin_isMeasurablyGenerated _
instance nhdsWithin_Icc_isMeasurablyGenerated : IsMeasurablyGenerated (𝓝[Icc a b] x) := by
rw [← Ici_inter_Iic, nhdsWithin_inter]
infer_instance
instance atTop_isMeasurablyGenerated : (Filter.atTop : Filter α).IsMeasurablyGenerated :=
@Filter.iInf_isMeasurablyGenerated _ _ _ _ fun a =>
(measurableSet_Ici : MeasurableSet (Ici a)).principal_isMeasurablyGenerated
instance atBot_isMeasurablyGenerated : (Filter.atBot : Filter α).IsMeasurablyGenerated :=
@Filter.iInf_isMeasurablyGenerated _ _ _ _ fun a =>
(measurableSet_Iic : MeasurableSet (Iic a)).principal_isMeasurablyGenerated
instance [R1Space α] : IsMeasurablyGenerated (cocompact α) where
exists_measurable_subset := by
intro _ hs
obtain ⟨t, ht, hts⟩ := mem_cocompact.mp hs
exact ⟨(closure t)ᶜ, ht.closure.compl_mem_cocompact, isClosed_closure.measurableSet.compl,
(compl_subset_compl.2 subset_closure).trans hts⟩
end Preorder
section PartialOrder
variable [PartialOrder α] [OrderClosedTopology α] [SecondCountableTopology α] {a b : α}
@[measurability]
theorem measurableSet_le' : MeasurableSet { p : α × α | p.1 ≤ p.2 } :=
OrderClosedTopology.isClosed_le'.measurableSet
@[measurability]
theorem measurableSet_le {f g : δ → α} (hf : Measurable f) (hg : Measurable g) :
MeasurableSet { a | f a ≤ g a } :=
hf.prodMk hg measurableSet_le'
end PartialOrder
section LinearOrder
variable [LinearOrder α] [OrderClosedTopology α] {a b x : α} {μ : Measure α}
-- we open this locale only here to avoid issues with list being treated as intervals above
open Interval
@[simp, measurability]
theorem measurableSet_Iio : MeasurableSet (Iio a) :=
isOpen_Iio.measurableSet
theorem nullMeasurableSet_Iio : NullMeasurableSet (Iio a) μ :=
measurableSet_Iio.nullMeasurableSet
@[simp, measurability]
theorem measurableSet_Ioi : MeasurableSet (Ioi a) :=
isOpen_Ioi.measurableSet
theorem nullMeasurableSet_Ioi : NullMeasurableSet (Ioi a) μ :=
measurableSet_Ioi.nullMeasurableSet
@[simp, measurability]
theorem measurableSet_Ioo : MeasurableSet (Ioo a b) :=
isOpen_Ioo.measurableSet
theorem nullMeasurableSet_Ioo : NullMeasurableSet (Ioo a b) μ :=
measurableSet_Ioo.nullMeasurableSet
@[simp, measurability]
theorem measurableSet_Ioc : MeasurableSet (Ioc a b) :=
measurableSet_Ioi.inter measurableSet_Iic
theorem nullMeasurableSet_Ioc : NullMeasurableSet (Ioc a b) μ :=
measurableSet_Ioc.nullMeasurableSet
@[simp, measurability]
theorem measurableSet_Ico : MeasurableSet (Ico a b) :=
measurableSet_Ici.inter measurableSet_Iio
theorem nullMeasurableSet_Ico : NullMeasurableSet (Ico a b) μ :=
measurableSet_Ico.nullMeasurableSet
instance nhdsWithin_Ioi_isMeasurablyGenerated : (𝓝[Ioi b] a).IsMeasurablyGenerated :=
measurableSet_Ioi.nhdsWithin_isMeasurablyGenerated _
instance nhdsWithin_Iio_isMeasurablyGenerated : (𝓝[Iio b] a).IsMeasurablyGenerated :=
measurableSet_Iio.nhdsWithin_isMeasurablyGenerated _
instance nhdsWithin_uIcc_isMeasurablyGenerated : IsMeasurablyGenerated (𝓝[[[a, b]]] x) :=
nhdsWithin_Icc_isMeasurablyGenerated
@[measurability]
theorem measurableSet_lt' [SecondCountableTopology α] : MeasurableSet { p : α × α | p.1 < p.2 } :=
(isOpen_lt continuous_fst continuous_snd).measurableSet
@[measurability]
theorem measurableSet_lt [SecondCountableTopology α] {f g : δ → α} (hf : Measurable f)
(hg : Measurable g) : MeasurableSet { a | f a < g a } :=
hf.prodMk hg measurableSet_lt'
theorem nullMeasurableSet_lt [SecondCountableTopology α] {μ : Measure δ} {f g : δ → α}
(hf : AEMeasurable f μ) (hg : AEMeasurable g μ) : NullMeasurableSet { a | f a < g a } μ :=
(hf.prodMk hg).nullMeasurable measurableSet_lt'
theorem nullMeasurableSet_lt' [SecondCountableTopology α] {μ : Measure (α × α)} :
NullMeasurableSet { p : α × α | p.1 < p.2 } μ :=
measurableSet_lt'.nullMeasurableSet
theorem nullMeasurableSet_le [SecondCountableTopology α] {μ : Measure δ}
{f g : δ → α} (hf : AEMeasurable f μ) (hg : AEMeasurable g μ) :
NullMeasurableSet { a | f a ≤ g a } μ :=
(hf.prodMk hg).nullMeasurable measurableSet_le'
theorem Set.OrdConnected.measurableSet (h : OrdConnected s) : MeasurableSet s := by
let u := ⋃ (x ∈ s) (y ∈ s), Ioo x y
have huopen : IsOpen u := isOpen_biUnion fun _ _ => isOpen_biUnion fun _ _ => isOpen_Ioo
have humeas : MeasurableSet u := huopen.measurableSet
have hfinite : (s \ u).Finite := s.finite_diff_iUnion_Ioo
have : u ⊆ s := iUnion₂_subset fun x hx => iUnion₂_subset fun y hy =>
Ioo_subset_Icc_self.trans (h.out hx hy)
rw [← union_diff_cancel this]
exact humeas.union hfinite.measurableSet
theorem IsPreconnected.measurableSet (h : IsPreconnected s) : MeasurableSet s :=
h.ordConnected.measurableSet
theorem generateFrom_Ico_mem_le_borel {α : Type*} [TopologicalSpace α] [LinearOrder α]
[OrderClosedTopology α] (s t : Set α) :
MeasurableSpace.generateFrom { S | ∃ l ∈ s, ∃ u ∈ t, l < u ∧ Ico l u = S }
≤ borel α := by
apply generateFrom_le
borelize α
rintro _ ⟨a, -, b, -, -, rfl⟩
exact measurableSet_Ico
theorem Dense.borel_eq_generateFrom_Ico_mem_aux {α : Type*} [TopologicalSpace α] [LinearOrder α]
[OrderTopology α] [SecondCountableTopology α] {s : Set α} (hd : Dense s)
(hbot : ∀ x, IsBot x → x ∈ s) (hIoo : ∀ x y : α, x < y → Ioo x y = ∅ → y ∈ s) :
borel α = .generateFrom { S : Set α | ∃ l ∈ s, ∃ u ∈ s, l < u ∧ Ico l u = S } := by
set S : Set (Set α) := { S | ∃ l ∈ s, ∃ u ∈ s, l < u ∧ Ico l u = S }
refine le_antisymm ?_ (generateFrom_Ico_mem_le_borel _ _)
letI : MeasurableSpace α := generateFrom S
rw [borel_eq_generateFrom_Iio]
refine generateFrom_le (forall_mem_range.2 fun a => ?_)
rcases hd.exists_countable_dense_subset_bot_top with ⟨t, hts, hc, htd, htb, -⟩
by_cases ha : ∀ b < a, (Ioo b a).Nonempty
· convert_to MeasurableSet (⋃ (l ∈ t) (u ∈ t) (_ : l < u) (_ : u ≤ a), Ico l u)
· ext y
simp only [mem_iUnion, mem_Iio, mem_Ico]
constructor
· intro hy
rcases htd.exists_le' (fun b hb => htb _ hb (hbot b hb)) y with ⟨l, hlt, hly⟩
rcases htd.exists_mem_open isOpen_Ioo (ha y hy) with ⟨u, hut, hyu, hua⟩
exact ⟨l, hlt, u, hut, hly.trans_lt hyu, hua.le, hly, hyu⟩
· rintro ⟨l, -, u, -, -, hua, -, hyu⟩
exact hyu.trans_le hua
· refine MeasurableSet.biUnion hc fun a ha => MeasurableSet.biUnion hc fun b hb => ?_
refine MeasurableSet.iUnion fun hab => MeasurableSet.iUnion fun _ => ?_
exact .basic _ ⟨a, hts ha, b, hts hb, hab, mem_singleton _⟩
· simp only [not_forall, not_nonempty_iff_eq_empty] at ha
replace ha : a ∈ s := hIoo ha.choose a ha.choose_spec.fst ha.choose_spec.snd
convert_to MeasurableSet (⋃ (l ∈ t) (_ : l < a), Ico l a)
· symm
simp only [← Ici_inter_Iio, ← iUnion_inter, inter_eq_right, subset_def, mem_iUnion,
mem_Ici, mem_Iio]
intro x hx
rcases htd.exists_le' (fun b hb => htb _ hb (hbot b hb)) x with ⟨z, hzt, hzx⟩
exact ⟨z, hzt, hzx.trans_lt hx, hzx⟩
· refine .biUnion hc fun x hx => MeasurableSet.iUnion fun hlt => ?_
exact .basic _ ⟨x, hts hx, a, ha, hlt, mem_singleton _⟩
theorem Dense.borel_eq_generateFrom_Ico_mem {α : Type*} [TopologicalSpace α] [LinearOrder α]
[OrderTopology α] [SecondCountableTopology α] [DenselyOrdered α] [NoMinOrder α] {s : Set α}
(hd : Dense s) :
borel α = .generateFrom { S : Set α | ∃ l ∈ s, ∃ u ∈ s, l < u ∧ Ico l u = S } :=
hd.borel_eq_generateFrom_Ico_mem_aux (by simp) fun _ _ hxy H =>
((nonempty_Ioo.2 hxy).ne_empty H).elim
theorem borel_eq_generateFrom_Ico (α : Type*) [TopologicalSpace α] [SecondCountableTopology α]
[LinearOrder α] [OrderTopology α] :
borel α = .generateFrom { S : Set α | ∃ (l u : α), l < u ∧ Ico l u = S } := by
simpa only [exists_prop, mem_univ, true_and] using
(@dense_univ α _).borel_eq_generateFrom_Ico_mem_aux (fun _ _ => mem_univ _) fun _ _ _ _ =>
mem_univ _
theorem Dense.borel_eq_generateFrom_Ioc_mem_aux {α : Type*} [TopologicalSpace α] [LinearOrder α]
[OrderTopology α] [SecondCountableTopology α] {s : Set α} (hd : Dense s)
(hbot : ∀ x, IsTop x → x ∈ s) (hIoo : ∀ x y : α, x < y → Ioo x y = ∅ → x ∈ s) :
borel α = .generateFrom { S : Set α | ∃ l ∈ s, ∃ u ∈ s, l < u ∧ Ioc l u = S } := by
convert hd.orderDual.borel_eq_generateFrom_Ico_mem_aux hbot fun x y hlt he => hIoo y x hlt _
using 2
· ext s
constructor <;> rintro ⟨l, hl, u, hu, hlt, rfl⟩
exacts [⟨u, hu, l, hl, hlt, Ico_toDual⟩, ⟨u, hu, l, hl, hlt, Ioc_toDual⟩]
· erw [Ioo_toDual]
exact he
theorem Dense.borel_eq_generateFrom_Ioc_mem {α : Type*} [TopologicalSpace α] [LinearOrder α]
[OrderTopology α] [SecondCountableTopology α] [DenselyOrdered α] [NoMaxOrder α] {s : Set α}
(hd : Dense s) :
borel α = .generateFrom { S : Set α | ∃ l ∈ s, ∃ u ∈ s, l < u ∧ Ioc l u = S } :=
hd.borel_eq_generateFrom_Ioc_mem_aux (by simp) fun _ _ hxy H =>
((nonempty_Ioo.2 hxy).ne_empty H).elim
theorem borel_eq_generateFrom_Ioc (α : Type*) [TopologicalSpace α] [SecondCountableTopology α]
[LinearOrder α] [OrderTopology α] :
borel α = .generateFrom { S : Set α | ∃ l u, l < u ∧ Ioc l u = S } := by
simpa only [exists_prop, mem_univ, true_and] using
(@dense_univ α _).borel_eq_generateFrom_Ioc_mem_aux (fun _ _ => mem_univ _) fun _ _ _ _ =>
mem_univ _
namespace MeasureTheory.Measure
/-- Two finite measures on a Borel space are equal if they agree on all closed-open intervals. If
`α` is a conditionally complete linear order with no top element,
`MeasureTheory.Measure.ext_of_Ico` is an extensionality lemma with weaker assumptions on `μ` and
`ν`. -/
theorem ext_of_Ico_finite {α : Type*} [TopologicalSpace α] {m : MeasurableSpace α}
[SecondCountableTopology α] [LinearOrder α] [OrderTopology α] [BorelSpace α] (μ ν : Measure α)
[IsFiniteMeasure μ] (hμν : μ univ = ν univ) (h : ∀ ⦃a b⦄, a < b → μ (Ico a b) = ν (Ico a b)) :
μ = ν := by
refine
ext_of_generate_finite _ (BorelSpace.measurable_eq.trans (borel_eq_generateFrom_Ico α))
(isPiSystem_Ico (id : α → α) id) ?_ hμν
rintro - ⟨a, b, hlt, rfl⟩
exact h hlt
/-- Two finite measures on a Borel space are equal if they agree on all open-closed intervals. If
`α` is a conditionally complete linear order with no top element,
`MeasureTheory.Measure.ext_of_Ioc` is an extensionality lemma with weaker assumptions on `μ` and
`ν`. -/
theorem ext_of_Ioc_finite {α : Type*} [TopologicalSpace α] {m : MeasurableSpace α}
[SecondCountableTopology α] [LinearOrder α] [OrderTopology α] [BorelSpace α] (μ ν : Measure α)
[IsFiniteMeasure μ] (hμν : μ univ = ν univ) (h : ∀ ⦃a b⦄, a < b → μ (Ioc a b) = ν (Ioc a b)) :
μ = ν := by
refine @ext_of_Ico_finite αᵒᵈ _ _ _ _ _ ‹_› μ ν _ hμν fun a b hab => ?_
erw [Ico_toDual (α := α)]
exact h hab
/-- Two measures which are finite on closed-open intervals are equal if they agree on all
closed-open intervals. -/
theorem ext_of_Ico' {α : Type*} [TopologicalSpace α] {m : MeasurableSpace α}
[SecondCountableTopology α] [LinearOrder α] [OrderTopology α] [BorelSpace α] [NoMaxOrder α]
(μ ν : Measure α) (hμ : ∀ ⦃a b⦄, a < b → μ (Ico a b) ≠ ∞)
(h : ∀ ⦃a b⦄, a < b → μ (Ico a b) = ν (Ico a b)) : μ = ν := by
rcases exists_countable_dense_bot_top α with ⟨s, hsc, hsd, hsb, _⟩
have : (⋃ (l ∈ s) (u ∈ s) (_ : l < u), {Ico l u} : Set (Set α)).Countable :=
hsc.biUnion fun l _ => hsc.biUnion fun u _ => countable_iUnion fun _ => countable_singleton _
simp only [← setOf_eq_eq_singleton, ← setOf_exists] at this
refine
Measure.ext_of_generateFrom_of_cover_subset
(BorelSpace.measurable_eq.trans (borel_eq_generateFrom_Ico α)) (isPiSystem_Ico id id) ?_ this
?_ ?_ ?_
· rintro _ ⟨l, -, u, -, h, rfl⟩
exact ⟨l, u, h, rfl⟩
· refine sUnion_eq_univ_iff.2 fun x => ?_
rcases hsd.exists_le' hsb x with ⟨l, hls, hlx⟩
rcases hsd.exists_gt x with ⟨u, hus, hxu⟩
exact ⟨_, ⟨l, hls, u, hus, hlx.trans_lt hxu, rfl⟩, hlx, hxu⟩
· rintro _ ⟨l, -, u, -, hlt, rfl⟩
exact hμ hlt
· rintro _ ⟨l, u, hlt, rfl⟩
exact h hlt
/-- Two measures which are finite on closed-open intervals are equal if they agree on all
open-closed intervals. -/
theorem ext_of_Ioc' {α : Type*} [TopologicalSpace α] {m : MeasurableSpace α}
[SecondCountableTopology α] [LinearOrder α] [OrderTopology α] [BorelSpace α] [NoMinOrder α]
(μ ν : Measure α) (hμ : ∀ ⦃a b⦄, a < b → μ (Ioc a b) ≠ ∞)
(h : ∀ ⦃a b⦄, a < b → μ (Ioc a b) = ν (Ioc a b)) : μ = ν := by
refine @ext_of_Ico' αᵒᵈ _ _ _ _ _ ‹_› _ μ ν ?_ ?_ <;> intro a b hab <;> erw [Ico_toDual (α := α)]
exacts [hμ hab, h hab]
/-- Two measures which are finite on closed-open intervals are equal if they agree on all
closed-open intervals. -/
theorem ext_of_Ico {α : Type*} [TopologicalSpace α] {_m : MeasurableSpace α}
[SecondCountableTopology α] [ConditionallyCompleteLinearOrder α] [OrderTopology α]
[BorelSpace α] [NoMaxOrder α] (μ ν : Measure α) [IsLocallyFiniteMeasure μ]
(h : ∀ ⦃a b⦄, a < b → μ (Ico a b) = ν (Ico a b)) : μ = ν :=
μ.ext_of_Ico' ν (fun _ _ _ => measure_Ico_lt_top.ne) h
/-- Two measures which are finite on closed-open intervals are equal if they agree on all
open-closed intervals. -/
theorem ext_of_Ioc {α : Type*} [TopologicalSpace α] {_m : MeasurableSpace α}
[SecondCountableTopology α] [ConditionallyCompleteLinearOrder α] [OrderTopology α]
[BorelSpace α] [NoMinOrder α] (μ ν : Measure α) [IsLocallyFiniteMeasure μ]
(h : ∀ ⦃a b⦄, a < b → μ (Ioc a b) = ν (Ioc a b)) : μ = ν :=
μ.ext_of_Ioc' ν (fun _ _ _ => measure_Ioc_lt_top.ne) h
/-- Two finite measures on a Borel space are equal if they agree on all left-infinite right-closed
intervals. -/
theorem ext_of_Iic {α : Type*} [TopologicalSpace α] {m : MeasurableSpace α}
[SecondCountableTopology α] [LinearOrder α] [OrderTopology α] [BorelSpace α] (μ ν : Measure α)
[IsFiniteMeasure μ] (h : ∀ a, μ (Iic a) = ν (Iic a)) : μ = ν := by
refine ext_of_Ioc_finite μ ν ?_ fun a b hlt => ?_
· rcases exists_countable_dense_bot_top α with ⟨s, hsc, hsd, -, hst⟩
have : DirectedOn (· ≤ ·) s := directedOn_iff_directed.2 (Subtype.mono_coe _).directed_le
simp only [← biSup_measure_Iic hsc (hsd.exists_ge' hst) this, h]
rw [← Iic_diff_Iic, measure_diff (Iic_subset_Iic.2 hlt.le) nullMeasurableSet_Iic,
measure_diff (Iic_subset_Iic.2 hlt.le) nullMeasurableSet_Iic, h a, h b]
· rw [← h a]
exact measure_ne_top μ _
· exact measure_ne_top μ _
/-- Two finite measures on a Borel space are equal if they agree on all left-closed right-infinite
intervals. -/
theorem ext_of_Ici {α : Type*} [TopologicalSpace α] {_ : MeasurableSpace α}
[SecondCountableTopology α] [LinearOrder α] [OrderTopology α] [BorelSpace α] (μ ν : Measure α)
[IsFiniteMeasure μ] (h : ∀ a, μ (Ici a) = ν (Ici a)) : μ = ν :=
@ext_of_Iic αᵒᵈ _ _ _ _ _ ‹_› _ _ _ h
end MeasureTheory.Measure
@[measurability]
theorem measurableSet_uIcc : MeasurableSet (uIcc a b) :=
measurableSet_Icc
@[measurability]
theorem measurableSet_uIoc : MeasurableSet (uIoc a b) :=
measurableSet_Ioc
variable [SecondCountableTopology α]
@[measurability, fun_prop]
theorem Measurable.max {f g : δ → α} (hf : Measurable f) (hg : Measurable g) :
Measurable fun a => max (f a) (g a) := by
simpa only [max_def'] using hf.piecewise (measurableSet_le hg hf) hg
@[measurability, fun_prop]
nonrec theorem AEMeasurable.max {f g : δ → α} {μ : Measure δ} (hf : AEMeasurable f μ)
(hg : AEMeasurable g μ) : AEMeasurable (fun a => max (f a) (g a)) μ :=
⟨fun a => max (hf.mk f a) (hg.mk g a), hf.measurable_mk.max hg.measurable_mk,
EventuallyEq.comp₂ hf.ae_eq_mk _ hg.ae_eq_mk⟩
@[measurability, fun_prop]
theorem Measurable.min {f g : δ → α} (hf : Measurable f) (hg : Measurable g) :
Measurable fun a => min (f a) (g a) := by
simpa only [min_def] using hf.piecewise (measurableSet_le hf hg) hg
@[measurability, fun_prop]
nonrec theorem AEMeasurable.min {f g : δ → α} {μ : Measure δ} (hf : AEMeasurable f μ)
(hg : AEMeasurable g μ) : AEMeasurable (fun a => min (f a) (g a)) μ :=
⟨fun a => min (hf.mk f a) (hg.mk g a), hf.measurable_mk.min hg.measurable_mk,
EventuallyEq.comp₂ hf.ae_eq_mk _ hg.ae_eq_mk⟩
end LinearOrder
section Lattice
variable [TopologicalSpace γ] {mγ : MeasurableSpace γ} [BorelSpace γ]
instance (priority := 100) ContinuousSup.measurableSup [Max γ] [ContinuousSup γ] :
MeasurableSup γ where
measurable_const_sup _ := (continuous_const.sup continuous_id).measurable
measurable_sup_const _ := (continuous_id.sup continuous_const).measurable
instance (priority := 100) ContinuousSup.measurableSup₂ [SecondCountableTopology γ] [Max γ]
[ContinuousSup γ] : MeasurableSup₂ γ :=
⟨continuous_sup.measurable⟩
instance (priority := 100) ContinuousInf.measurableInf [Min γ] [ContinuousInf γ] :
MeasurableInf γ where
measurable_const_inf _ := (continuous_const.inf continuous_id).measurable
measurable_inf_const _ := (continuous_id.inf continuous_const).measurable
instance (priority := 100) ContinuousInf.measurableInf₂ [SecondCountableTopology γ] [Min γ]
[ContinuousInf γ] : MeasurableInf₂ γ :=
⟨continuous_inf.measurable⟩
end Lattice
end Orders
section BorelSpace
variable [TopologicalSpace α] {mα : MeasurableSpace α} [BorelSpace α]
variable [TopologicalSpace β] {mβ : MeasurableSpace β} [BorelSpace β]
variable {mδ : MeasurableSpace δ}
section LinearOrder
variable [LinearOrder α] [OrderTopology α] [SecondCountableTopology α]
theorem measurable_of_Iio {f : δ → α} (hf : ∀ x, MeasurableSet (f ⁻¹' Iio x)) : Measurable f := by
convert measurable_generateFrom (α := δ) _
· exact BorelSpace.measurable_eq.trans (borel_eq_generateFrom_Iio _)
· rintro _ ⟨x, rfl⟩; exact hf x
theorem UpperSemicontinuous.measurable [TopologicalSpace δ] [OpensMeasurableSpace δ] {f : δ → α}
(hf : UpperSemicontinuous f) : Measurable f :=
measurable_of_Iio fun y => (hf.isOpen_preimage y).measurableSet
theorem measurable_of_Ioi {f : δ → α} (hf : ∀ x, MeasurableSet (f ⁻¹' Ioi x)) : Measurable f := by
convert measurable_generateFrom (α := δ) _
· exact BorelSpace.measurable_eq.trans (borel_eq_generateFrom_Ioi _)
· rintro _ ⟨x, rfl⟩; exact hf x
theorem LowerSemicontinuous.measurable [TopologicalSpace δ] [OpensMeasurableSpace δ] {f : δ → α}
(hf : LowerSemicontinuous f) : Measurable f :=
measurable_of_Ioi fun y => (hf.isOpen_preimage y).measurableSet
theorem measurable_of_Iic {f : δ → α} (hf : ∀ x, MeasurableSet (f ⁻¹' Iic x)) : Measurable f := by
apply measurable_of_Ioi
simp_rw [← compl_Iic, preimage_compl, MeasurableSet.compl_iff]
assumption
theorem measurable_of_Ici {f : δ → α} (hf : ∀ x, MeasurableSet (f ⁻¹' Ici x)) : Measurable f := by
apply measurable_of_Iio
simp_rw [← compl_Ici, preimage_compl, MeasurableSet.compl_iff]
assumption
/-- If a function is the least upper bound of countably many measurable functions,
then it is measurable. -/
theorem Measurable.isLUB {ι} [Countable ι] {f : ι → δ → α} {g : δ → α} (hf : ∀ i, Measurable (f i))
(hg : ∀ b, IsLUB { a | ∃ i, f i b = a } (g b)) : Measurable g := by
change ∀ b, IsLUB (range fun i => f i b) (g b) at hg
rw [‹BorelSpace α›.measurable_eq, borel_eq_generateFrom_Ioi α]
apply measurable_generateFrom
rintro _ ⟨a, rfl⟩
simp_rw [Set.preimage, mem_Ioi, lt_isLUB_iff (hg _), exists_range_iff, setOf_exists]
exact MeasurableSet.iUnion fun i => hf i (isOpen_lt' _).measurableSet
/-- If a function is the least upper bound of countably many measurable functions on a measurable
set `s`, and coincides with a measurable function outside of `s`, then it is measurable. -/
theorem Measurable.isLUB_of_mem {ι} [Countable ι] {f : ι → δ → α} {g g' : δ → α}
(hf : ∀ i, Measurable (f i))
{s : Set δ} (hs : MeasurableSet s) (hg : ∀ b ∈ s, IsLUB { a | ∃ i, f i b = a } (g b))
(hg' : EqOn g g' sᶜ) (g'_meas : Measurable g') : Measurable g := by
classical
rcases isEmpty_or_nonempty ι with hι|⟨⟨i⟩⟩
· rcases eq_empty_or_nonempty s with rfl|⟨x, hx⟩
· convert g'_meas
rwa [compl_empty, eqOn_univ] at hg'
· have A : ∀ b ∈ s, IsBot (g b) := by simpa using hg
have B : ∀ b ∈ s, g b = g x := by
intro b hb
apply le_antisymm (A b hb (g x)) (A x hx (g b))
have : g = s.piecewise (fun _y ↦ g x) g' := by
ext b
by_cases hb : b ∈ s
· simp [hb, B]
· simp [hb, hg' hb]
rw [this]
exact Measurable.piecewise hs measurable_const g'_meas
· have : Nonempty ι := ⟨i⟩
let f' : ι → δ → α := fun i ↦ s.piecewise (f i) g'
suffices ∀ b, IsLUB { a | ∃ i, f' i b = a } (g b) from
Measurable.isLUB (fun i ↦ Measurable.piecewise hs (hf i) g'_meas) this
intro b
by_cases hb : b ∈ s
· have A : ∀ i, f' i b = f i b := fun i ↦ by simp [f', hb]
simpa [A] using hg b hb
· have A : ∀ i, f' i b = g' b := fun i ↦ by simp [f', hb]
simp [A, hg' hb, isLUB_singleton]
theorem AEMeasurable.isLUB {ι} {μ : Measure δ} [Countable ι] {f : ι → δ → α} {g : δ → α}
(hf : ∀ i, AEMeasurable (f i) μ) (hg : ∀ᵐ b ∂μ, IsLUB { a | ∃ i, f i b = a } (g b)) :
AEMeasurable g μ := by
classical
nontriviality α
haveI hα : Nonempty α := inferInstance
rcases isEmpty_or_nonempty ι with hι | hι
· simp only [IsEmpty.exists_iff, setOf_false, isLUB_empty_iff] at hg
exact aemeasurable_const' (hg.mono fun a ha => hg.mono fun b hb => (ha _).antisymm (hb _))
let p : δ → (ι → α) → Prop := fun x f' => IsLUB { a | ∃ i, f' i = a } (g x)
let g_seq := (aeSeqSet hf p).piecewise g fun _ => hα.some
have hg_seq : ∀ b, IsLUB { a | ∃ i, aeSeq hf p i b = a } (g_seq b) := by
intro b
simp only [g_seq, aeSeq, Set.piecewise]
split_ifs with h
· have h_set_eq : { a : α | ∃ i : ι, (hf i).mk (f i) b = a } =
{ a : α | ∃ i : ι, f i b = a } := by
ext x
simp_rw [Set.mem_setOf_eq, aeSeq.mk_eq_fun_of_mem_aeSeqSet hf h]
rw [h_set_eq]
exact aeSeq.fun_prop_of_mem_aeSeqSet hf h
· exact IsGreatest.isLUB ⟨(@exists_const (hα.some = hα.some) ι _).2 rfl, fun x ⟨i, hi⟩ => hi.ge⟩
refine ⟨g_seq, Measurable.isLUB (aeSeq.measurable hf p) hg_seq, ?_⟩
exact
(ite_ae_eq_of_measure_compl_zero g (fun _ => hα.some) (aeSeqSet hf p)
(aeSeq.measure_compl_aeSeqSet_eq_zero hf hg)).symm
/-- If a function is the greatest lower bound of countably many measurable functions,
then it is measurable. -/
theorem Measurable.isGLB {ι} [Countable ι] {f : ι → δ → α} {g : δ → α} (hf : ∀ i, Measurable (f i))
(hg : ∀ b, IsGLB { a | ∃ i, f i b = a } (g b)) : Measurable g :=
Measurable.isLUB (α := αᵒᵈ) hf hg
/-- If a function is the greatest lower bound of countably many measurable functions on a measurable
set `s`, and coincides with a measurable function outside of `s`, then it is measurable. -/
theorem Measurable.isGLB_of_mem {ι} [Countable ι] {f : ι → δ → α} {g g' : δ → α}
(hf : ∀ i, Measurable (f i))
{s : Set δ} (hs : MeasurableSet s) (hg : ∀ b ∈ s, IsGLB { a | ∃ i, f i b = a } (g b))
(hg' : EqOn g g' sᶜ) (g'_meas : Measurable g') : Measurable g :=
Measurable.isLUB_of_mem (α := αᵒᵈ) hf hs hg hg' g'_meas
theorem AEMeasurable.isGLB {ι} {μ : Measure δ} [Countable ι] {f : ι → δ → α} {g : δ → α}
(hf : ∀ i, AEMeasurable (f i) μ) (hg : ∀ᵐ b ∂μ, IsGLB { a | ∃ i, f i b = a } (g b)) :
AEMeasurable g μ :=
AEMeasurable.isLUB (α := αᵒᵈ) hf hg
protected theorem Monotone.measurable [LinearOrder β] [OrderClosedTopology β] {f : β → α}
(hf : Monotone f) : Measurable f :=
suffices h : ∀ x, OrdConnected (f ⁻¹' Ioi x) from measurable_of_Ioi fun x => (h x).measurableSet
fun _ => ordConnected_def.mpr fun _a ha _ _ _c hc => lt_of_lt_of_le ha (hf hc.1)
theorem aemeasurable_restrict_of_monotoneOn [LinearOrder β] [OrderClosedTopology β] {μ : Measure β}
{s : Set β} (hs : MeasurableSet s) {f : β → α} (hf : MonotoneOn f s) :
AEMeasurable f (μ.restrict s) :=
have : Monotone (f ∘ (↑) : s → α) := fun ⟨x, hx⟩ ⟨y, hy⟩ => fun (hxy : x ≤ y) => hf hx hy hxy
aemeasurable_restrict_of_measurable_subtype hs this.measurable
protected theorem Antitone.measurable [LinearOrder β] [OrderClosedTopology β] {f : β → α}
(hf : Antitone f) : Measurable f :=
@Monotone.measurable αᵒᵈ β _ _ ‹_› _ _ _ _ _ ‹_› _ _ _ hf
theorem aemeasurable_restrict_of_antitoneOn [LinearOrder β] [OrderClosedTopology β] {μ : Measure β}
{s : Set β} (hs : MeasurableSet s) {f : β → α} (hf : AntitoneOn f s) :
AEMeasurable f (μ.restrict s) :=
@aemeasurable_restrict_of_monotoneOn αᵒᵈ β _ _ ‹_› _ _ _ _ _ ‹_› _ _ _ _ hs _ hf
theorem MeasurableSet.of_mem_nhdsGT_aux {s : Set α} (h : ∀ x ∈ s, s ∈ 𝓝[>] x)
(h' : ∀ x ∈ s, ∃ y, x < y) : MeasurableSet s := by
choose! M hM using h'
suffices H : (s \ interior s).Countable by
have : s = interior s ∪ s \ interior s := by rw [union_diff_cancel interior_subset]
rw [this]
exact isOpen_interior.measurableSet.union H.measurableSet
have A : ∀ x ∈ s, ∃ y ∈ Ioi x, Ioo x y ⊆ s := fun x hx =>
(mem_nhdsGT_iff_exists_Ioo_subset' (hM x hx)).1 (h x hx)
choose! y hy h'y using A
have B : Set.PairwiseDisjoint (s \ interior s) fun x => Ioo x (y x) := by
intro x hx x' hx' hxx'
rcases lt_or_gt_of_ne hxx' with (h' | h')
· refine disjoint_left.2 fun z hz h'z => ?_
have : x' ∈ interior s :=
mem_interior.2 ⟨Ioo x (y x), h'y _ hx.1, isOpen_Ioo, ⟨h', h'z.1.trans hz.2⟩⟩
exact False.elim (hx'.2 this)
· refine disjoint_left.2 fun z hz h'z => ?_
have : x ∈ interior s :=
mem_interior.2 ⟨Ioo x' (y x'), h'y _ hx'.1, isOpen_Ioo, ⟨h', hz.1.trans h'z.2⟩⟩
exact False.elim (hx.2 this)
exact B.countable_of_Ioo fun x hx => hy x hx.1
@[deprecated (since := "2024-12-22")]
alias measurableSet_of_mem_nhdsWithin_Ioi_aux := MeasurableSet.of_mem_nhdsGT_aux
/-- If a set is a right-neighborhood of all of its points, then it is measurable. -/
theorem MeasurableSet.of_mem_nhdsGT {s : Set α} (h : ∀ x ∈ s, s ∈ 𝓝[>] x) : MeasurableSet s := by
by_cases H : ∃ x ∈ s, IsTop x
· rcases H with ⟨x₀, x₀s, h₀⟩
have : s = { x₀ } ∪ s \ { x₀ } := by rw [union_diff_cancel (singleton_subset_iff.2 x₀s)]
rw [this]
refine (measurableSet_singleton _).union ?_
have A : ∀ x ∈ s \ { x₀ }, x < x₀ := fun x hx => lt_of_le_of_ne (h₀ _) (by simpa using hx.2)
refine .of_mem_nhdsGT_aux (fun x hx => ?_) fun x hx => ⟨x₀, A x hx⟩
obtain ⟨u, hu, us⟩ : ∃ (u : α), u ∈ Ioi x ∧ Ioo x u ⊆ s :=
(mem_nhdsGT_iff_exists_Ioo_subset' (A x hx)).1 (h x hx.1)
refine (mem_nhdsGT_iff_exists_Ioo_subset' (A x hx)).2 ⟨u, hu, fun y hy => ⟨us hy, ?_⟩⟩
exact ne_of_lt (hy.2.trans_le (h₀ _))
· refine .of_mem_nhdsGT_aux h ?_
simp only [IsTop] at H
push_neg at H
exact H
@[deprecated (since := "2024-12-22")]
alias measurableSet_of_mem_nhdsWithin_Ioi := MeasurableSet.of_mem_nhdsGT
lemma measurableSet_bddAbove_range {ι} [Countable ι] {f : ι → δ → α} (hf : ∀ i, Measurable (f i)) :
MeasurableSet {b | BddAbove (range (fun i ↦ f i b))} := by
rcases isEmpty_or_nonempty α with hα|hα
· have : ∀ b, range (fun i ↦ f i b) = ∅ := fun b ↦ eq_empty_of_isEmpty _
simp [this]
have A : ∀ (i : ι) (c : α), MeasurableSet {x | f i x ≤ c} := by
intro i c
exact measurableSet_le (hf i) measurable_const
have B : ∀ (c : α), MeasurableSet {x | ∀ i, f i x ≤ c} := by
intro c
rw [setOf_forall]
exact MeasurableSet.iInter (fun i ↦ A i c)
obtain ⟨u, hu⟩ : ∃ (u : ℕ → α), Tendsto u atTop atTop := exists_seq_tendsto (atTop : Filter α)
have : {b | BddAbove (range (fun i ↦ f i b))} = {x | ∃ n, ∀ i, f i x ≤ u n} := by
apply Subset.antisymm
· rintro x ⟨c, hc⟩
obtain ⟨n, hn⟩ : ∃ n, c ≤ u n := (tendsto_atTop.1 hu c).exists
exact ⟨n, fun i ↦ (hc ((mem_range_self i))).trans hn⟩
· rintro x ⟨n, hn⟩
refine ⟨u n, ?_⟩
rintro - ⟨i, rfl⟩
exact hn i
rw [this, setOf_exists]
exact MeasurableSet.iUnion (fun n ↦ B (u n))
lemma measurableSet_bddBelow_range {ι} [Countable ι] {f : ι → δ → α} (hf : ∀ i, Measurable (f i)) :
MeasurableSet {b | BddBelow (range (fun i ↦ f i b))} :=
measurableSet_bddAbove_range (α := αᵒᵈ) hf
end LinearOrder
section ConditionallyCompleteLattice
@[measurability, fun_prop]
theorem Measurable.iSup_Prop {α} {mα : MeasurableSpace α} [ConditionallyCompleteLattice α]
(p : Prop) {f : δ → α} (hf : Measurable f) : Measurable fun b => ⨆ _ : p, f b := by
classical
simp_rw [ciSup_eq_ite]
split_ifs with h
· exact hf
· exact measurable_const
@[measurability, fun_prop]
theorem Measurable.iInf_Prop {α} {mα : MeasurableSpace α} [ConditionallyCompleteLattice α]
(p : Prop) {f : δ → α} (hf : Measurable f) : Measurable fun b => ⨅ _ : p, f b := by
classical
simp_rw [ciInf_eq_ite]
split_ifs with h
· exact hf
· exact measurable_const
end ConditionallyCompleteLattice
section ConditionallyCompleteLinearOrder
variable [ConditionallyCompleteLinearOrder α] [OrderTopology α] [SecondCountableTopology α]
@[measurability, fun_prop]
protected theorem Measurable.iSup {ι} [Countable ι] {f : ι → δ → α} (hf : ∀ i, Measurable (f i)) :
Measurable (fun b ↦ ⨆ i, f i b) := by
rcases isEmpty_or_nonempty ι with hι|hι
· simp [iSup_of_empty']
have A : MeasurableSet {b | BddAbove (range (fun i ↦ f i b))} :=
measurableSet_bddAbove_range hf
have : Measurable (fun (_b : δ) ↦ sSup (∅ : Set α)) := measurable_const
apply Measurable.isLUB_of_mem hf A _ _ this
· rintro b ⟨c, hc⟩
apply isLUB_ciSup
refine ⟨c, ?_⟩
rintro d ⟨i, rfl⟩
exact hc (mem_range_self i)
· intro b hb
apply csSup_of_not_bddAbove
exact hb
-- TODO: Why does this error?
-- /-- Compositional version of `Measurable.iSup` for use by `fun_prop`. -/
-- @[fun_prop]
-- protected lemma Measurable.iSup'' {_ : MeasurableSpace γ} {ι : Sort*} [Countable ι]
-- {f : ι → γ → δ → α} {h : γ → δ} (hf : ∀ i, Measurable ↿(f i)) (hh : Measurable h) :
-- Measurable fun a ↦ (⨆ i, f i a) (h a) := by
-- simp_rw [iSup_apply]
-- exact .iSup fun i ↦ by fun_prop
@[measurability, fun_prop]
protected theorem AEMeasurable.iSup {ι} {μ : Measure δ} [Countable ι] {f : ι → δ → α}
(hf : ∀ i, AEMeasurable (f i) μ) : AEMeasurable (fun b => ⨆ i, f i b) μ := by
refine ⟨fun b ↦ ⨆ i, (hf i).mk (f i) b, .iSup (fun i ↦ (hf i).measurable_mk), ?_⟩
filter_upwards [ae_all_iff.2 (fun i ↦ (hf i).ae_eq_mk)] with b hb using by simp [hb]
@[measurability, fun_prop]
protected theorem Measurable.iInf {ι} [Countable ι] {f : ι → δ → α} (hf : ∀ i, Measurable (f i)) :
Measurable fun b => ⨅ i, f i b :=
.iSup (α := αᵒᵈ) hf
@[measurability, fun_prop]
protected theorem AEMeasurable.iInf {ι} {μ : Measure δ} [Countable ι] {f : ι → δ → α}
(hf : ∀ i, AEMeasurable (f i) μ) : AEMeasurable (fun b => ⨅ i, f i b) μ :=
.iSup (α := αᵒᵈ) hf
protected theorem Measurable.sSup {ι} {f : ι → δ → α} {s : Set ι} (hs : s.Countable)
(hf : ∀ i ∈ s, Measurable (f i)) :
Measurable fun x => sSup ((fun i => f i x) '' s) := by
simp_rw [image_eq_range]
have : Countable s := hs.to_subtype
exact .iSup fun i ↦ hf i i.2
protected theorem Measurable.sInf {ι} {f : ι → δ → α} {s : Set ι} (hs : s.Countable)
(hf : ∀ i ∈ s, Measurable (f i)) :
Measurable fun x => sInf ((fun i => f i x) '' s) :=
.sSup (α := αᵒᵈ) hs hf
theorem Measurable.biSup {ι} (s : Set ι) {f : ι → δ → α} (hs : s.Countable)
(hf : ∀ i ∈ s, Measurable (f i)) : Measurable fun b => ⨆ i ∈ s, f i b := by
haveI : Encodable s := hs.toEncodable
by_cases H : ∀ i, i ∈ s
· have : ∀ b, ⨆ i ∈ s, f i b = ⨆ (i : s), f i b :=
fun b ↦ cbiSup_eq_of_forall (f := fun i ↦ f i b) H
simp only [this]
exact .iSup (fun (i : s) ↦ hf i i.2)
· have : ∀ b, ⨆ i ∈ s, f i b = (⨆ (i : s), f i b) ⊔ sSup ∅ :=
fun b ↦ cbiSup_eq_of_not_forall (f := fun i ↦ f i b) H
simp only [this]
apply Measurable.sup _ measurable_const
exact .iSup (fun (i : s) ↦ hf i i.2)
theorem AEMeasurable.biSup {ι} {μ : Measure δ} (s : Set ι) {f : ι → δ → α} (hs : s.Countable)
(hf : ∀ i ∈ s, AEMeasurable (f i) μ) : AEMeasurable (fun b => ⨆ i ∈ s, f i b) μ := by
classical
let g : ι → δ → α := fun i ↦ if hi : i ∈ s then (hf i hi).mk (f i) else fun _b ↦ sSup ∅
have : ∀ i ∈ s, Measurable (g i) := by
intro i hi
simpa [g, hi] using (hf i hi).measurable_mk
refine ⟨fun b ↦ ⨆ (i) (_ : i ∈ s), g i b, .biSup s hs this, ?_⟩
have : ∀ i ∈ s, ∀ᵐ b ∂μ, f i b = g i b :=
fun i hi ↦ by simpa [g, hi] using (hf i hi).ae_eq_mk
filter_upwards [(ae_ball_iff hs).2 this] with b hb
exact iSup_congr fun i => iSup_congr (hb i)
|
theorem Measurable.biInf {ι} (s : Set ι) {f : ι → δ → α} (hs : s.Countable)
(hf : ∀ i ∈ s, Measurable (f i)) : Measurable fun b => ⨅ i ∈ s, f i b :=
.biSup (α := αᵒᵈ) s hs hf
theorem AEMeasurable.biInf {ι} {μ : Measure δ} (s : Set ι) {f : ι → δ → α} (hs : s.Countable)
(hf : ∀ i ∈ s, AEMeasurable (f i) μ) : AEMeasurable (fun b => ⨅ i ∈ s, f i b) μ :=
.biSup (α := αᵒᵈ) s hs hf
| Mathlib/MeasureTheory/Constructions/BorelSpace/Order.lean | 833 | 840 |
/-
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 Mathlib.Data.Set.Finite.Basic
import Mathlib.Data.Set.Finite.Range
import Mathlib.Data.Set.Lattice
import Mathlib.Topology.Defs.Filter
/-!
# Openness and closedness of a set
This file provides lemmas relating to the predicates `IsOpen` and `IsClosed` of a set endowed with
a topology.
## Implementation notes
Topology in mathlib heavily uses filters (even more than in Bourbaki). See explanations in
<https://leanprover-community.github.io/theories/topology.html>.
## References
* [N. Bourbaki, *General Topology*][bourbaki1966]
* [I. M. James, *Topologies and Uniformities*][james1999]
## Tags
topological space
-/
open Set Filter Topology
universe u v
/-- A constructor for topologies by specifying the closed sets,
and showing that they satisfy the appropriate conditions. -/
def TopologicalSpace.ofClosed {X : Type u} (T : Set (Set X)) (empty_mem : ∅ ∈ T)
(sInter_mem : ∀ A, A ⊆ T → ⋂₀ A ∈ T)
(union_mem : ∀ A, A ∈ T → ∀ B, B ∈ T → A ∪ B ∈ T) : TopologicalSpace X where
IsOpen X := Xᶜ ∈ T
isOpen_univ := by simp [empty_mem]
isOpen_inter s t hs ht := by simpa only [compl_inter] using union_mem sᶜ hs tᶜ ht
isOpen_sUnion s hs := by
simp only [Set.compl_sUnion]
exact sInter_mem (compl '' s) fun z ⟨y, hy, hz⟩ => hz ▸ hs y hy
section TopologicalSpace
variable {X : Type u} {ι : Sort v} {α : Type*} {x : X} {s s₁ s₂ t : Set X} {p p₁ p₂ : X → Prop}
lemma isOpen_mk {p h₁ h₂ h₃} : IsOpen[⟨p, h₁, h₂, h₃⟩] s ↔ p s := Iff.rfl
@[ext (iff := false)]
protected theorem TopologicalSpace.ext :
∀ {f g : TopologicalSpace X}, IsOpen[f] = IsOpen[g] → f = g
| ⟨_, _, _, _⟩, ⟨_, _, _, _⟩, rfl => rfl
protected theorem TopologicalSpace.ext_iff {t t' : TopologicalSpace X} :
t = t' ↔ ∀ s, IsOpen[t] s ↔ IsOpen[t'] s :=
⟨fun h _ => h ▸ Iff.rfl, fun h => by ext; exact h _⟩
theorem isOpen_fold {t : TopologicalSpace X} : t.IsOpen s = IsOpen[t] s :=
rfl
variable [TopologicalSpace X]
theorem isOpen_iUnion {f : ι → Set X} (h : ∀ i, IsOpen (f i)) : IsOpen (⋃ i, f i) :=
isOpen_sUnion (forall_mem_range.2 h)
theorem isOpen_biUnion {s : Set α} {f : α → Set X} (h : ∀ i ∈ s, IsOpen (f i)) :
IsOpen (⋃ i ∈ s, f i) :=
isOpen_iUnion fun i => isOpen_iUnion fun hi => h i hi
theorem IsOpen.union (h₁ : IsOpen s₁) (h₂ : IsOpen s₂) : IsOpen (s₁ ∪ s₂) := by
rw [union_eq_iUnion]; exact isOpen_iUnion (Bool.forall_bool.2 ⟨h₂, h₁⟩)
lemma isOpen_iff_of_cover {f : α → Set X} (ho : ∀ i, IsOpen (f i)) (hU : (⋃ i, f i) = univ) :
IsOpen s ↔ ∀ i, IsOpen (f i ∩ s) := by
refine ⟨fun h i ↦ (ho i).inter h, fun h ↦ ?_⟩
rw [← s.inter_univ, inter_comm, ← hU, iUnion_inter]
exact isOpen_iUnion fun i ↦ h i
@[simp] theorem isOpen_empty : IsOpen (∅ : Set X) := by
rw [← sUnion_empty]; exact isOpen_sUnion fun a => False.elim
theorem Set.Finite.isOpen_sInter {s : Set (Set X)} (hs : s.Finite) (h : ∀ t ∈ s, IsOpen t) :
IsOpen (⋂₀ s) := by
induction s, hs using Set.Finite.induction_on with
| empty => rw [sInter_empty]; exact isOpen_univ
| insert _ _ ih =>
simp only [sInter_insert, forall_mem_insert] at h ⊢
exact h.1.inter (ih h.2)
theorem Set.Finite.isOpen_biInter {s : Set α} {f : α → Set X} (hs : s.Finite)
(h : ∀ i ∈ s, IsOpen (f i)) :
IsOpen (⋂ i ∈ s, f i) :=
sInter_image f s ▸ (hs.image _).isOpen_sInter (forall_mem_image.2 h)
theorem isOpen_iInter_of_finite [Finite ι] {s : ι → Set X} (h : ∀ i, IsOpen (s i)) :
IsOpen (⋂ i, s i) :=
(finite_range _).isOpen_sInter (forall_mem_range.2 h)
theorem isOpen_biInter_finset {s : Finset α} {f : α → Set X} (h : ∀ i ∈ s, IsOpen (f i)) :
IsOpen (⋂ i ∈ s, f i) :=
s.finite_toSet.isOpen_biInter h
@[simp]
theorem isOpen_const {p : Prop} : IsOpen { _x : X | p } := by by_cases p <;> simp [*]
theorem IsOpen.and : IsOpen { x | p₁ x } → IsOpen { x | p₂ x } → IsOpen { x | p₁ x ∧ p₂ x } :=
IsOpen.inter
@[simp] theorem isOpen_compl_iff : IsOpen sᶜ ↔ IsClosed s :=
⟨fun h => ⟨h⟩, fun h => h.isOpen_compl⟩
theorem TopologicalSpace.ext_iff_isClosed {X} {t₁ t₂ : TopologicalSpace X} :
t₁ = t₂ ↔ ∀ s, IsClosed[t₁] s ↔ IsClosed[t₂] s := by
rw [TopologicalSpace.ext_iff, compl_surjective.forall]
simp only [@isOpen_compl_iff _ _ t₁, @isOpen_compl_iff _ _ t₂]
alias ⟨_, TopologicalSpace.ext_isClosed⟩ := TopologicalSpace.ext_iff_isClosed
theorem isClosed_const {p : Prop} : IsClosed { _x : X | p } := ⟨isOpen_const (p := ¬p)⟩
@[simp] theorem isClosed_empty : IsClosed (∅ : Set X) := isClosed_const
@[simp] theorem isClosed_univ : IsClosed (univ : Set X) := isClosed_const
lemma IsOpen.isLocallyClosed (hs : IsOpen s) : IsLocallyClosed s :=
⟨_, _, hs, isClosed_univ, (inter_univ _).symm⟩
lemma IsClosed.isLocallyClosed (hs : IsClosed s) : IsLocallyClosed s :=
⟨_, _, isOpen_univ, hs, (univ_inter _).symm⟩
theorem IsClosed.union : IsClosed s₁ → IsClosed s₂ → IsClosed (s₁ ∪ s₂) := by
simpa only [← isOpen_compl_iff, compl_union] using IsOpen.inter
theorem isClosed_sInter {s : Set (Set X)} : (∀ t ∈ s, IsClosed t) → IsClosed (⋂₀ s) := by
simpa only [← isOpen_compl_iff, compl_sInter, sUnion_image] using isOpen_biUnion
theorem isClosed_iInter {f : ι → Set X} (h : ∀ i, IsClosed (f i)) : IsClosed (⋂ i, f i) :=
isClosed_sInter <| forall_mem_range.2 h
theorem isClosed_biInter {s : Set α} {f : α → Set X} (h : ∀ i ∈ s, IsClosed (f i)) :
IsClosed (⋂ i ∈ s, f i) :=
isClosed_iInter fun i => isClosed_iInter <| h i
@[simp]
theorem isClosed_compl_iff {s : Set X} : IsClosed sᶜ ↔ IsOpen s := by
rw [← isOpen_compl_iff, compl_compl]
alias ⟨_, IsOpen.isClosed_compl⟩ := isClosed_compl_iff
theorem IsOpen.sdiff (h₁ : IsOpen s) (h₂ : IsClosed t) : IsOpen (s \ t) :=
IsOpen.inter h₁ h₂.isOpen_compl
theorem IsClosed.inter (h₁ : IsClosed s₁) (h₂ : IsClosed s₂) : IsClosed (s₁ ∩ s₂) := by
rw [← isOpen_compl_iff] at *
rw [compl_inter]
exact IsOpen.union h₁ h₂
theorem IsClosed.sdiff (h₁ : IsClosed s) (h₂ : IsOpen t) : IsClosed (s \ t) :=
IsClosed.inter h₁ (isClosed_compl_iff.mpr h₂)
theorem Set.Finite.isClosed_biUnion {s : Set α} {f : α → Set X} (hs : s.Finite)
(h : ∀ i ∈ s, IsClosed (f i)) :
IsClosed (⋃ i ∈ s, f i) := by
simp only [← isOpen_compl_iff, compl_iUnion] at *
exact hs.isOpen_biInter h
lemma isClosed_biUnion_finset {s : Finset α} {f : α → Set X} (h : ∀ i ∈ s, IsClosed (f i)) :
IsClosed (⋃ i ∈ s, f i) :=
s.finite_toSet.isClosed_biUnion h
theorem isClosed_iUnion_of_finite [Finite ι] {s : ι → Set X} (h : ∀ i, IsClosed (s i)) :
IsClosed (⋃ i, s i) := by
simp only [← isOpen_compl_iff, compl_iUnion] at *
exact isOpen_iInter_of_finite h
theorem isClosed_imp {p q : X → Prop} (hp : IsOpen { x | p x }) (hq : IsClosed { x | q x }) :
IsClosed { x | p x → q x } := by
simpa only [imp_iff_not_or] using hp.isClosed_compl.union hq
theorem IsClosed.not : IsClosed { a | p a } → IsOpen { a | ¬p a } :=
isOpen_compl_iff.mpr
/-!
### Limits of filters in topological spaces
In this section we define functions that return a limit of a filter (or of a function along a
filter), if it exists, and a random point otherwise. These functions are rarely used in Mathlib,
most of the theorems are written using `Filter.Tendsto`. One of the reasons is that
`Filter.limUnder f g = x` is not equivalent to `Filter.Tendsto g f (𝓝 x)` unless the codomain is a
Hausdorff space and `g` has a limit along `f`.
-/
section lim
/-- If a filter `f` is majorated by some `𝓝 x`, then it is majorated by `𝓝 (Filter.lim f)`. We
formulate this lemma with a `[Nonempty X]` argument of `lim` derived from `h` to make it useful for
types without a `[Nonempty X]` instance. Because of the built-in proof irrelevance, Lean will unify
this instance with any other instance. -/
theorem le_nhds_lim {f : Filter X} (h : ∃ x, f ≤ 𝓝 x) : f ≤ 𝓝 (@lim _ _ (nonempty_of_exists h) f) :=
Classical.epsilon_spec h
/-- If `g` tends to some `𝓝 x` along `f`, then it tends to `𝓝 (Filter.limUnder f g)`. We formulate
this lemma with a `[Nonempty X]` argument of `lim` derived from `h` to make it useful for types
without a `[Nonempty X]` instance. Because of the built-in proof irrelevance, Lean will unify this
instance with any other instance. -/
theorem tendsto_nhds_limUnder {f : Filter α} {g : α → X} (h : ∃ x, Tendsto g f (𝓝 x)) :
Tendsto g f (𝓝 (@limUnder _ _ _ (nonempty_of_exists h) f g)) :=
le_nhds_lim h
theorem limUnder_of_not_tendsto [hX : Nonempty X] {f : Filter α} {g : α → X}
(h : ¬ ∃ x, Tendsto g f (𝓝 x)) :
limUnder f g = Classical.choice hX := by
simp_rw [Tendsto] at h
simp_rw [limUnder, lim, Classical.epsilon, Classical.strongIndefiniteDescription, dif_neg h]
end lim
end TopologicalSpace
| Mathlib/Topology/Basic.lean | 924 | 927 | |
/-
Copyright (c) 2019 Johannes Hölzl. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Johannes Hölzl, Patrick Massot, Casper Putz, Anne Baanen, Antoine Labelle
-/
import Mathlib.LinearAlgebra.Contraction
import Mathlib.LinearAlgebra.Matrix.Charpoly.Coeff
import Mathlib.RingTheory.Finiteness.Prod
import Mathlib.RingTheory.TensorProduct.Finite
import Mathlib.RingTheory.TensorProduct.Free
/-!
# Trace of a linear map
This file defines the trace of a linear map.
See also `LinearAlgebra/Matrix/Trace.lean` for the trace of a matrix.
## Tags
linear_map, trace, diagonal
-/
noncomputable section
universe u v w
namespace LinearMap
open scoped Matrix
open Module TensorProduct
section
variable (R : Type u) [CommSemiring R] {M : Type v} [AddCommMonoid M] [Module R M]
variable {ι : Type w} [DecidableEq ι] [Fintype ι]
variable {κ : Type*} [DecidableEq κ] [Fintype κ]
variable (b : Basis ι R M) (c : Basis κ R M)
/-- The trace of an endomorphism given a basis. -/
def traceAux : (M →ₗ[R] M) →ₗ[R] R :=
Matrix.traceLinearMap ι R R ∘ₗ ↑(LinearMap.toMatrix b b)
-- Can't be `simp` because it would cause a loop.
theorem traceAux_def (b : Basis ι R M) (f : M →ₗ[R] M) :
traceAux R b f = Matrix.trace (LinearMap.toMatrix b b f) :=
rfl
theorem traceAux_eq : traceAux R b = traceAux R c :=
LinearMap.ext fun f =>
calc
Matrix.trace (LinearMap.toMatrix b b f) =
Matrix.trace (LinearMap.toMatrix b b ((LinearMap.id.comp f).comp LinearMap.id)) := by
rw [LinearMap.id_comp, LinearMap.comp_id]
_ = Matrix.trace (LinearMap.toMatrix c b LinearMap.id * LinearMap.toMatrix c c f *
LinearMap.toMatrix b c LinearMap.id) := by
rw [LinearMap.toMatrix_comp _ c, LinearMap.toMatrix_comp _ c]
_ = Matrix.trace (LinearMap.toMatrix c c f * LinearMap.toMatrix b c LinearMap.id *
LinearMap.toMatrix c b LinearMap.id) := by
rw [Matrix.mul_assoc, Matrix.trace_mul_comm]
_ = Matrix.trace (LinearMap.toMatrix c c ((f.comp LinearMap.id).comp LinearMap.id)) := by
rw [LinearMap.toMatrix_comp _ b, LinearMap.toMatrix_comp _ c]
_ = Matrix.trace (LinearMap.toMatrix c c f) := by rw [LinearMap.comp_id, LinearMap.comp_id]
variable (M) in
open Classical in
/-- Trace of an endomorphism independent of basis. -/
def trace : (M →ₗ[R] M) →ₗ[R] R :=
if H : ∃ s : Finset M, Nonempty (Basis s R M) then traceAux R H.choose_spec.some else 0
open Classical in
/-- Auxiliary lemma for `trace_eq_matrix_trace`. -/
theorem trace_eq_matrix_trace_of_finset {s : Finset M} (b : Basis s R M) (f : M →ₗ[R] M) :
trace R M f = Matrix.trace (LinearMap.toMatrix b b f) := by
have : ∃ s : Finset M, Nonempty (Basis s R M) := ⟨s, ⟨b⟩⟩
rw [trace, dif_pos this, ← traceAux_def]
congr 1
apply traceAux_eq
theorem trace_eq_matrix_trace (f : M →ₗ[R] M) :
trace R M f = Matrix.trace (LinearMap.toMatrix b b f) := by
classical
rw [trace_eq_matrix_trace_of_finset R b.reindexFinsetRange, ← traceAux_def, ← traceAux_def,
traceAux_eq R b b.reindexFinsetRange]
theorem trace_mul_comm (f g : M →ₗ[R] M) : trace R M (f * g) = trace R M (g * f) := by
classical
by_cases H : ∃ s : Finset M, Nonempty (Basis s R M)
· let ⟨s, ⟨b⟩⟩ := H
simp_rw [trace_eq_matrix_trace R b, LinearMap.toMatrix_mul]
apply Matrix.trace_mul_comm
· rw [trace, dif_neg H, LinearMap.zero_apply, LinearMap.zero_apply]
lemma trace_mul_cycle (f g h : M →ₗ[R] M) :
trace R M (f * g * h) = trace R M (h * f * g) := by
rw [LinearMap.trace_mul_comm, ← mul_assoc]
lemma trace_mul_cycle' (f g h : M →ₗ[R] M) :
trace R M (f * (g * h)) = trace R M (h * (f * g)) := by
rw [← mul_assoc, LinearMap.trace_mul_comm]
/-- The trace of an endomorphism is invariant under conjugation -/
@[simp]
theorem trace_conj (g : M →ₗ[R] M) (f : (M →ₗ[R] M)ˣ) :
trace R M (↑f * g * ↑f⁻¹) = trace R M g := by
rw [trace_mul_comm]
simp
@[simp]
lemma trace_lie {R M : Type*} [CommRing R] [AddCommGroup M] [Module R M] (f g : Module.End R M) :
trace R M ⁅f, g⁆ = 0 := by
rw [Ring.lie_def, map_sub, trace_mul_comm]
exact sub_self _
end
section
variable {R : Type*} [CommRing R] {M : Type*} [AddCommGroup M] [Module R M]
variable (N P : Type*) [AddCommGroup N] [Module R N] [AddCommGroup P] [Module R P]
variable {ι : Type*}
/-- The trace of a linear map correspond to the contraction pairing under the isomorphism
`End(M) ≃ M* ⊗ M` -/
theorem trace_eq_contract_of_basis [Finite ι] (b : Basis ι R M) :
LinearMap.trace R M ∘ₗ dualTensorHom R M M = contractLeft R M := by
classical
cases nonempty_fintype ι
apply Basis.ext (Basis.tensorProduct (Basis.dualBasis b) b)
rintro ⟨i, j⟩
simp only [Function.comp_apply, Basis.tensorProduct_apply, Basis.coe_dualBasis, coe_comp]
rw [trace_eq_matrix_trace R b, toMatrix_dualTensorHom]
by_cases hij : i = j
· rw [hij]
simp
rw [Matrix.StdBasisMatrix.trace_zero j i (1 : R) hij]
simp [Finsupp.single_eq_pi_single, hij]
/-- The trace of a linear map corresponds to the contraction pairing under the isomorphism
`End(M) ≃ M* ⊗ M`. -/
theorem trace_eq_contract_of_basis' [Fintype ι] [DecidableEq ι] (b : Basis ι R M) :
LinearMap.trace R M = contractLeft R M ∘ₗ (dualTensorHomEquivOfBasis b).symm.toLinearMap := by
simp [LinearEquiv.eq_comp_toLinearMap_symm, trace_eq_contract_of_basis b]
section
variable (R M)
variable [Module.Free R M] [Module.Finite R M] [Module.Free R N] [Module.Finite R N]
/-- When `M` is finite free, the trace of a linear map corresponds to the contraction pairing under
the isomorphism `End(M) ≃ M* ⊗ M`. -/
@[simp]
theorem trace_eq_contract : LinearMap.trace R M ∘ₗ dualTensorHom R M M = contractLeft R M :=
trace_eq_contract_of_basis (Module.Free.chooseBasis R M)
@[simp]
theorem trace_eq_contract_apply (x : Module.Dual R M ⊗[R] M) :
(LinearMap.trace R M) ((dualTensorHom R M M) x) = contractLeft R M x := by
rw [← comp_apply, trace_eq_contract]
/-- When `M` is finite free, the trace of a linear map corresponds to the contraction pairing under
the isomorphism `End(M) ≃ M* ⊗ M`. -/
theorem trace_eq_contract' :
LinearMap.trace R M = contractLeft R M ∘ₗ (dualTensorHomEquiv R M M).symm.toLinearMap :=
trace_eq_contract_of_basis' (Module.Free.chooseBasis R M)
/-- The trace of the identity endomorphism is the dimension of the free module. -/
@[simp]
theorem trace_one : trace R M 1 = (finrank R M : R) := by
cases subsingleton_or_nontrivial R
· simp [eq_iff_true_of_subsingleton]
have b := Module.Free.chooseBasis R M
rw [trace_eq_matrix_trace R b, toMatrix_one, finrank_eq_card_chooseBasisIndex]
simp
/-- The trace of the identity endomorphism is the dimension of the free module. -/
@[simp]
theorem trace_id : trace R M id = (finrank R M : R) := by rw [← Module.End.one_eq_id, trace_one]
@[simp]
theorem trace_transpose : trace R (Module.Dual R M) ∘ₗ Module.Dual.transpose = trace R M := by
let e := dualTensorHomEquiv R M M
have h : Function.Surjective e.toLinearMap := e.surjective
refine (cancel_right h).1 ?_
ext f m; simp [e]
| theorem trace_prodMap :
trace R (M × N) ∘ₗ prodMapLinear R M N M N R =
(coprod id id : R × R →ₗ[R] R) ∘ₗ prodMap (trace R M) (trace R N) := by
let e := (dualTensorHomEquiv R M M).prodCongr (dualTensorHomEquiv R N N)
have h : Function.Surjective e.toLinearMap := e.surjective
refine (cancel_right h).1 ?_
| Mathlib/LinearAlgebra/Trace.lean | 186 | 191 |
/-
Copyright (c) 2019 Kevin Buzzard. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Kevin Buzzard
-/
import Mathlib.Data.EReal.Basic
deprecated_module (since := "2025-04-13")
| Mathlib/Data/Real/EReal.lean | 1,572 | 1,576 | |
/-
Copyright (c) 2023 Yury Kudryashov. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yury Kudryashov
-/
import Mathlib.Algebra.Group.PUnit
import Mathlib.Algebra.Group.Subgroup.Ker
import Mathlib.Algebra.Group.Submonoid.Membership
import Mathlib.GroupTheory.Congruence.Basic
/-!
# Coproduct (free product) of two monoids or groups
In this file we define `Monoid.Coprod M N` (notation: `M ∗ N`)
to be the coproduct (a.k.a. free product) of two monoids.
The same type is used for the coproduct of two monoids and for the coproduct of two groups.
The coproduct `M ∗ N` has the following universal property:
for any monoid `P` and homomorphisms `f : M →* P`, `g : N →* P`,
there exists a unique homomorphism `fg : M ∗ N →* P`
such that `fg ∘ Monoid.Coprod.inl = f` and `fg ∘ Monoid.Coprod.inr = g`,
where `Monoid.Coprod.inl : M →* M ∗ N`
and `Monoid.Coprod.inr : N →* M ∗ N` are canonical embeddings.
This homomorphism `fg` is given by `Monoid.Coprod.lift f g`.
We also define some homomorphisms and isomorphisms about `M ∗ N`,
and provide additive versions of all definitions and theorems.
## Main definitions
### Types
* `Monoid.Coprod M N` (a.k.a. `M ∗ N`):
the free product (a.k.a. coproduct) of two monoids `M` and `N`.
* `AddMonoid.Coprod M N` (no notation): the additive version of `Monoid.Coprod`.
In other sections, we only list multiplicative definitions.
### Instances
* `MulOneClass`, `Monoid`, and `Group` structures on the coproduct `M ∗ N`.
### Monoid homomorphisms
* `Monoid.Coprod.mk`: the projection `FreeMonoid (M ⊕ N) →* M ∗ N`.
* `Monoid.Coprod.inl`, `Monoid.Coprod.inr`: canonical embeddings `M →* M ∗ N` and `N →* M ∗ N`.
* `Monoid.Coprod.lift`: construct a monoid homomorphism `M ∗ N →* P`
from homomorphisms `M →* P` and `N →* P`; see also `Monoid.Coprod.liftEquiv`.
* `Monoid.Coprod.clift`: a constructor for homomorphisms `M ∗ N →* P`
that allows the user to control the computational behavior.
* `Monoid.Coprod.map`: combine two homomorphisms `f : M →* N` and `g : M' →* N'`
into `M ∗ M' →* N ∗ N'`.
* `Monoid.Coprod.swap`: the natural homomorphism `M ∗ N →* N ∗ M`.
* `Monoid.Coprod.fst`, `Monoid.Coprod.snd`, and `Monoid.Coprod.toProd`:
natural projections `M ∗ N →* M`, `M ∗ N →* N`, and `M ∗ N →* M × N`.
### Monoid isomorphisms
* `MulEquiv.coprodCongr`: a `MulEquiv` version of `Monoid.Coprod.map`.
* `MulEquiv.coprodComm`: a `MulEquiv` version of `Monoid.Coprod.swap`.
* `MulEquiv.coprodAssoc`: associativity of the coproduct.
* `MulEquiv.coprodPUnit`, `MulEquiv.punitCoprod`:
free product by `PUnit` on the left or on the right is isomorphic to the original monoid.
## Main results
The universal property of the coproduct
is given by the definition `Monoid.Coprod.lift` and the lemma `Monoid.Coprod.lift_unique`.
We also prove a slightly more general extensionality lemma `Monoid.Coprod.hom_ext`
for homomorphisms `M ∗ N →* P` and prove lots of basic lemmas like `Monoid.Coprod.fst_comp_inl`.
## Implementation details
The definition of the coproduct of an indexed family of monoids is formalized in `Monoid.CoprodI`.
While mathematically `M ∗ N` is a particular case
of the coproduct of an indexed family of monoids,
it is easier to build API from scratch instead of using something like
```
def Monoid.Coprod M N := Monoid.CoprodI ![M, N]
```
or
```
def Monoid.Coprod M N := Monoid.CoprodI (fun b : Bool => cond b M N)
```
There are several reasons to build an API from scratch.
- API about `Con` makes it easy to define the required type and prove the universal property,
so there is little overhead compared to transferring API from `Monoid.CoprodI`.
- If `M` and `N` live in different universes, then the definition has to add `ULift`s;
this makes it harder to transfer API and definitions.
- As of now, we have no way
to automatically build an instance of `(k : Fin 2) → Monoid (![M, N] k)`
from `[Monoid M]` and `[Monoid N]`,
not even speaking about more advanced typeclass assumptions that involve both `M` and `N`.
- Using a list of `M ⊕ N` instead of, e.g., a list of `Σ k : Fin 2, ![M, N] k`
as the underlying type makes it possible to write computationally effective code
(though this point is not tested yet).
## TODO
- Prove `Monoid.CoprodI (f : Fin 2 → Type*) ≃* f 0 ∗ f 1` and
`Monoid.CoprodI (f : Bool → Type*) ≃* f false ∗ f true`.
## Tags
group, monoid, coproduct, free product
-/
assert_not_exists MonoidWithZero
open FreeMonoid Function List Set
namespace Monoid
/-- The minimal congruence relation `c` on `FreeMonoid (M ⊕ N)`
such that `FreeMonoid.of ∘ Sum.inl` and `FreeMonoid.of ∘ Sum.inr` are monoid homomorphisms
to the quotient by `c`. -/
@[to_additive "The minimal additive congruence relation `c` on `FreeAddMonoid (M ⊕ N)`
such that `FreeAddMonoid.of ∘ Sum.inl` and `FreeAddMonoid.of ∘ Sum.inr`
are additive monoid homomorphisms to the quotient by `c`."]
def coprodCon (M N : Type*) [MulOneClass M] [MulOneClass N] : Con (FreeMonoid (M ⊕ N)) :=
sInf {c |
(∀ x y : M, c (of (Sum.inl (x * y))) (of (Sum.inl x) * of (Sum.inl y)))
∧ (∀ x y : N, c (of (Sum.inr (x * y))) (of (Sum.inr x) * of (Sum.inr y)))
∧ c (of <| Sum.inl 1) 1 ∧ c (of <| Sum.inr 1) 1}
/-- Coproduct of two monoids or groups. -/
@[to_additive "Coproduct of two additive monoids or groups."]
def Coprod (M N : Type*) [MulOneClass M] [MulOneClass N] := (coprodCon M N).Quotient
namespace Coprod
@[inherit_doc]
scoped infix:30 " ∗ " => Coprod
section MulOneClass
variable {M N M' N' P : Type*} [MulOneClass M] [MulOneClass N] [MulOneClass M'] [MulOneClass N']
[MulOneClass P]
@[to_additive] protected instance : MulOneClass (M ∗ N) := Con.mulOneClass _
/-- The natural projection `FreeMonoid (M ⊕ N) →* M ∗ N`. -/
@[to_additive "The natural projection `FreeAddMonoid (M ⊕ N) →+ AddMonoid.Coprod M N`."]
def mk : FreeMonoid (M ⊕ N) →* M ∗ N := Con.mk' _
@[to_additive (attr := simp)]
theorem con_ker_mk : Con.ker mk = coprodCon M N := Con.mk'_ker _
@[to_additive]
theorem mk_surjective : Surjective (@mk M N _ _) := Quot.mk_surjective
@[to_additive (attr := simp)]
theorem mrange_mk : MonoidHom.mrange (@mk M N _ _) = ⊤ := Con.mrange_mk'
@[to_additive]
theorem mk_eq_mk {w₁ w₂ : FreeMonoid (M ⊕ N)} : mk w₁ = mk w₂ ↔ coprodCon M N w₁ w₂ := Con.eq _
/-- The natural embedding `M →* M ∗ N`. -/
@[to_additive "The natural embedding `M →+ AddMonoid.Coprod M N`."]
def inl : M →* M ∗ N where
toFun := fun x => mk (of (.inl x))
map_one' := mk_eq_mk.2 fun _c hc => hc.2.2.1
map_mul' := fun x y => mk_eq_mk.2 fun _c hc => hc.1 x y
/-- The natural embedding `N →* M ∗ N`. -/
@[to_additive "The natural embedding `N →+ AddMonoid.Coprod M N`."]
def inr : N →* M ∗ N where
toFun := fun x => mk (of (.inr x))
map_one' := mk_eq_mk.2 fun _c hc => hc.2.2.2
map_mul' := fun x y => mk_eq_mk.2 fun _c hc => hc.2.1 x y
@[to_additive (attr := simp)]
theorem mk_of_inl (x : M) : (mk (of (.inl x)) : M ∗ N) = inl x := rfl
@[to_additive (attr := simp)]
theorem mk_of_inr (x : N) : (mk (of (.inr x)) : M ∗ N) = inr x := rfl
@[to_additive (attr := elab_as_elim)]
theorem induction_on' {C : M ∗ N → Prop} (m : M ∗ N)
(one : C 1)
(inl_mul : ∀ m x, C x → C (inl m * x))
(inr_mul : ∀ n x, C x → C (inr n * x)) : C m := by
rcases mk_surjective m with ⟨x, rfl⟩
induction x using FreeMonoid.inductionOn' with
| one => exact one
| mul_of x xs ih =>
cases x with
| inl m => simpa using inl_mul m _ ih
| inr n => simpa using inr_mul n _ ih
@[to_additive (attr := elab_as_elim)]
theorem induction_on {C : M ∗ N → Prop} (m : M ∗ N)
(inl : ∀ m, C (inl m)) (inr : ∀ n, C (inr n)) (mul : ∀ x y, C x → C y → C (x * y)) : C m :=
induction_on' m (by simpa using inl 1) (fun _ _ ↦ mul _ _ (inl _)) fun _ _ ↦ mul _ _ (inr _)
/-- Lift a monoid homomorphism `FreeMonoid (M ⊕ N) →* P` satisfying additional properties to
`M ∗ N →* P`. In many cases, `Coprod.lift` is more convenient.
Compared to `Coprod.lift`,
this definition allows a user to provide a custom computational behavior.
Also, it only needs `MulOneclass` assumptions while `Coprod.lift` needs a `Monoid` structure.
-/
@[to_additive "Lift an additive monoid homomorphism `FreeAddMonoid (M ⊕ N) →+ P` satisfying
additional properties to `AddMonoid.Coprod M N →+ P`.
Compared to `AddMonoid.Coprod.lift`,
this definition allows a user to provide a custom computational behavior.
Also, it only needs `AddZeroclass` assumptions
while `AddMonoid.Coprod.lift` needs an `AddMonoid` structure. "]
def clift (f : FreeMonoid (M ⊕ N) →* P)
(hM₁ : f (of (.inl 1)) = 1) (hN₁ : f (of (.inr 1)) = 1)
(hM : ∀ x y, f (of (.inl (x * y))) = f (of (.inl x) * of (.inl y)))
(hN : ∀ x y, f (of (.inr (x * y))) = f (of (.inr x) * of (.inr y))) :
M ∗ N →* P :=
Con.lift _ f <| sInf_le ⟨hM, hN, hM₁.trans (map_one f).symm, hN₁.trans (map_one f).symm⟩
@[to_additive (attr := simp)]
theorem clift_apply_inl (f : FreeMonoid (M ⊕ N) →* P) (hM₁ hN₁ hM hN) (x : M) :
clift f hM₁ hN₁ hM hN (inl x) = f (of (.inl x)) :=
rfl
@[to_additive (attr := simp)]
theorem clift_apply_inr (f : FreeMonoid (M ⊕ N) →* P) (hM₁ hN₁ hM hN) (x : N) :
clift f hM₁ hN₁ hM hN (inr x) = f (of (.inr x)) :=
rfl
@[to_additive (attr := simp)]
theorem clift_apply_mk (f : FreeMonoid (M ⊕ N) →* P) (hM₁ hN₁ hM hN w) :
clift f hM₁ hN₁ hM hN (mk w) = f w :=
rfl
@[to_additive (attr := simp)]
theorem clift_comp_mk (f : FreeMonoid (M ⊕ N) →* P) (hM₁ hN₁ hM hN) :
(clift f hM₁ hN₁ hM hN).comp mk = f :=
DFunLike.ext' rfl
@[to_additive (attr := simp)]
theorem mclosure_range_inl_union_inr :
Submonoid.closure (range (inl : M →* M ∗ N) ∪ range (inr : N →* M ∗ N)) = ⊤ := by
rw [← mrange_mk, MonoidHom.mrange_eq_map, ← closure_range_of, MonoidHom.map_mclosure,
← range_comp, Sum.range_eq]; rfl
@[to_additive (attr := simp)] theorem mrange_inl_sup_mrange_inr :
MonoidHom.mrange (inl : M →* M ∗ N) ⊔ MonoidHom.mrange (inr : N →* M ∗ N) = ⊤ := by
rw [← mclosure_range_inl_union_inr, Submonoid.closure_union, ← MonoidHom.coe_mrange,
← MonoidHom.coe_mrange, Submonoid.closure_eq, Submonoid.closure_eq]
@[to_additive]
theorem codisjoint_mrange_inl_mrange_inr :
Codisjoint (MonoidHom.mrange (inl : M →* M ∗ N)) (MonoidHom.mrange inr) :=
codisjoint_iff.2 mrange_inl_sup_mrange_inr
@[to_additive] theorem mrange_eq (f : M ∗ N →* P) :
MonoidHom.mrange f = MonoidHom.mrange (f.comp inl) ⊔ MonoidHom.mrange (f.comp inr) := by
rw [MonoidHom.mrange_eq_map, ← mrange_inl_sup_mrange_inr, Submonoid.map_sup, MonoidHom.map_mrange,
MonoidHom.map_mrange]
/-- Extensionality lemma for monoid homomorphisms `M ∗ N →* P`.
If two homomorphisms agree on the ranges of `Monoid.Coprod.inl` and `Monoid.Coprod.inr`,
then they are equal. -/
@[to_additive (attr := ext 1100)
"Extensionality lemma for additive monoid homomorphisms `AddMonoid.Coprod M N →+ P`.
If two homomorphisms agree on the ranges of `AddMonoid.Coprod.inl` and `AddMonoid.Coprod.inr`,
then they are equal."]
theorem hom_ext {f g : M ∗ N →* P} (h₁ : f.comp inl = g.comp inl) (h₂ : f.comp inr = g.comp inr) :
f = g :=
MonoidHom.eq_of_eqOn_denseM mclosure_range_inl_union_inr <| eqOn_union.2
⟨eqOn_range.2 <| DFunLike.ext'_iff.1 h₁, eqOn_range.2 <| DFunLike.ext'_iff.1 h₂⟩
@[to_additive (attr := simp)]
theorem clift_mk :
clift (mk : FreeMonoid (M ⊕ N) →* M ∗ N) (map_one inl) (map_one inr) (map_mul inl)
(map_mul inr) = .id _ :=
hom_ext rfl rfl
/-- Map `M ∗ N` to `M' ∗ N'` by applying `Sum.map f g` to each element of the underlying list. -/
@[to_additive "Map `AddMonoid.Coprod M N` to `AddMonoid.Coprod M' N'`
by applying `Sum.map f g` to each element of the underlying list."]
def map (f : M →* M') (g : N →* N') : M ∗ N →* M' ∗ N' :=
clift (mk.comp <| FreeMonoid.map <| Sum.map f g)
(by simp only [MonoidHom.comp_apply, map_of, Sum.map_inl, map_one, mk_of_inl])
(by simp only [MonoidHom.comp_apply, map_of, Sum.map_inr, map_one, mk_of_inr])
(fun x y => by simp only [MonoidHom.comp_apply, map_of, Sum.map_inl, map_mul, mk_of_inl])
fun x y => by simp only [MonoidHom.comp_apply, map_of, Sum.map_inr, map_mul, mk_of_inr]
@[to_additive (attr := simp)]
theorem map_mk_ofList (f : M →* M') (g : N →* N') (l : List (M ⊕ N)) :
map f g (mk (ofList l)) = mk (ofList (l.map (Sum.map f g))) :=
rfl
@[to_additive (attr := simp)]
theorem map_apply_inl (f : M →* M') (g : N →* N') (x : M) : map f g (inl x) = inl (f x) := rfl
@[to_additive (attr := simp)]
theorem map_apply_inr (f : M →* M') (g : N →* N') (x : N) : map f g (inr x) = inr (g x) := rfl
@[to_additive (attr := simp)]
theorem map_comp_inl (f : M →* M') (g : N →* N') : (map f g).comp inl = inl.comp f := rfl
@[to_additive (attr := simp)]
theorem map_comp_inr (f : M →* M') (g : N →* N') : (map f g).comp inr = inr.comp g := rfl
@[to_additive (attr := simp)]
theorem map_id_id : map (.id M) (.id N) = .id (M ∗ N) := hom_ext rfl rfl
@[to_additive]
theorem map_comp_map {M'' N''} [MulOneClass M''] [MulOneClass N''] (f' : M' →* M'') (g' : N' →* N'')
(f : M →* M') (g : N →* N') : (map f' g').comp (map f g) = map (f'.comp f) (g'.comp g) :=
hom_ext rfl rfl
@[to_additive]
theorem map_map {M'' N''} [MulOneClass M''] [MulOneClass N''] (f' : M' →* M'') (g' : N' →* N'')
(f : M →* M') (g : N →* N') (x : M ∗ N) :
map f' g' (map f g x) = map (f'.comp f) (g'.comp g) x :=
DFunLike.congr_fun (map_comp_map f' g' f g) x
variable (M N)
/-- Map `M ∗ N` to `N ∗ M` by applying `Sum.swap` to each element of the underlying list.
See also `MulEquiv.coprodComm` for a `MulEquiv` version. -/
@[to_additive "Map `AddMonoid.Coprod M N` to `AddMonoid.Coprod N M`
by applying `Sum.swap` to each element of the underlying list.
See also `AddEquiv.coprodComm` for an `AddEquiv` version."]
def swap : M ∗ N →* N ∗ M :=
clift (mk.comp <| FreeMonoid.map Sum.swap)
(by simp only [MonoidHom.comp_apply, map_of, Sum.swap_inl, mk_of_inr, map_one])
(by simp only [MonoidHom.comp_apply, map_of, Sum.swap_inr, mk_of_inl, map_one])
(fun x y => by simp only [MonoidHom.comp_apply, map_of, Sum.swap_inl, mk_of_inr, map_mul])
(fun x y => by simp only [MonoidHom.comp_apply, map_of, Sum.swap_inr, mk_of_inl, map_mul])
@[to_additive (attr := simp)]
theorem swap_comp_swap : (swap M N).comp (swap N M) = .id _ := hom_ext rfl rfl
variable {M N}
@[to_additive (attr := simp)]
theorem swap_swap (x : M ∗ N) : swap N M (swap M N x) = x :=
DFunLike.congr_fun (swap_comp_swap _ _) x
@[to_additive]
theorem swap_comp_map (f : M →* M') (g : N →* N') :
(swap M' N').comp (map f g) = (map g f).comp (swap M N) :=
hom_ext rfl rfl
@[to_additive]
theorem swap_map (f : M →* M') (g : N →* N') (x : M ∗ N) :
swap M' N' (map f g x) = map g f (swap M N x) :=
DFunLike.congr_fun (swap_comp_map f g) x
@[to_additive (attr := simp)] theorem swap_comp_inl : (swap M N).comp inl = inr := rfl
@[to_additive (attr := simp)] theorem swap_inl (x : M) : swap M N (inl x) = inr x := rfl
@[to_additive (attr := simp)] theorem swap_comp_inr : (swap M N).comp inr = inl := rfl
@[to_additive (attr := simp)] theorem swap_inr (x : N) : swap M N (inr x) = inl x := rfl
@[to_additive]
theorem swap_injective : Injective (swap M N) := LeftInverse.injective swap_swap
@[to_additive (attr := simp)]
theorem swap_inj {x y : M ∗ N} : swap M N x = swap M N y ↔ x = y := swap_injective.eq_iff
@[to_additive (attr := simp)]
theorem swap_eq_one {x : M ∗ N} : swap M N x = 1 ↔ x = 1 := swap_injective.eq_iff' (map_one _)
@[to_additive]
theorem swap_surjective : Surjective (swap M N) := LeftInverse.surjective swap_swap
@[to_additive]
theorem swap_bijective : Bijective (swap M N) := ⟨swap_injective, swap_surjective⟩
@[to_additive (attr := simp)]
theorem mker_swap : MonoidHom.mker (swap M N) = ⊥ := Submonoid.ext fun _ ↦ swap_eq_one
@[to_additive (attr := simp)]
theorem mrange_swap : MonoidHom.mrange (swap M N) = ⊤ :=
MonoidHom.mrange_eq_top_of_surjective _ swap_surjective
end MulOneClass
section Lift
variable {M N P : Type*} [MulOneClass M] [MulOneClass N] [Monoid P]
/-- Lift a pair of monoid homomorphisms `f : M →* P`, `g : N →* P`
to a monoid homomorphism `M ∗ N →* P`.
See also `Coprod.clift` for a version that allows custom computational behavior
and works for a `MulOneClass` codomain.
-/
@[to_additive "Lift a pair of additive monoid homomorphisms `f : M →+ P`, `g : N →+ P`
to an additive monoid homomorphism `AddMonoid.Coprod M N →+ P`.
See also `AddMonoid.Coprod.clift` for a version that allows custom computational behavior
and works for an `AddZeroClass` codomain."]
def lift (f : M →* P) (g : N →* P) : (M ∗ N) →* P :=
clift (FreeMonoid.lift <| Sum.elim f g) (map_one f) (map_one g) (map_mul f) (map_mul g)
@[to_additive (attr := simp)]
theorem lift_apply_mk (f : M →* P) (g : N →* P) (x : FreeMonoid (M ⊕ N)) :
lift f g (mk x) = FreeMonoid.lift (Sum.elim f g) x :=
rfl
@[to_additive (attr := simp)]
theorem lift_apply_inl (f : M →* P) (g : N →* P) (x : M) : lift f g (inl x) = f x :=
rfl
@[to_additive]
theorem lift_unique {f : M →* P} {g : N →* P} {fg : M ∗ N →* P} (h₁ : fg.comp inl = f)
(h₂ : fg.comp inr = g) : fg = lift f g :=
hom_ext h₁ h₂
@[to_additive (attr := simp)]
theorem lift_comp_inl (f : M →* P) (g : N →* P) : (lift f g).comp inl = f := rfl
@[to_additive (attr := simp)]
theorem lift_apply_inr (f : M →* P) (g : N →* P) (x : N) : lift f g (inr x) = g x :=
rfl
@[to_additive (attr := simp)]
theorem lift_comp_inr (f : M →* P) (g : N →* P) : (lift f g).comp inr = g := rfl
@[to_additive (attr := simp)]
theorem lift_comp_swap (f : M →* P) (g : N →* P) : (lift f g).comp (swap N M) = lift g f :=
hom_ext rfl rfl
@[to_additive (attr := simp)]
theorem lift_swap (f : M →* P) (g : N →* P) (x : N ∗ M) : lift f g (swap N M x) = lift g f x :=
DFunLike.congr_fun (lift_comp_swap f g) x
@[to_additive]
theorem comp_lift {P' : Type*} [Monoid P'] (f : P →* P') (g₁ : M →* P) (g₂ : N →* P) :
f.comp (lift g₁ g₂) = lift (f.comp g₁) (f.comp g₂) :=
hom_ext (by rw [MonoidHom.comp_assoc, lift_comp_inl, lift_comp_inl]) <| by
rw [MonoidHom.comp_assoc, lift_comp_inr, lift_comp_inr]
/-- `Coprod.lift` as an equivalence. -/
@[to_additive "`AddMonoid.Coprod.lift` as an equivalence."]
def liftEquiv : (M →* P) × (N →* P) ≃ (M ∗ N →* P) where
toFun fg := lift fg.1 fg.2
invFun f := (f.comp inl, f.comp inr)
left_inv _ := rfl
right_inv _ := Eq.symm <| lift_unique rfl rfl
@[to_additive (attr := simp)]
theorem mrange_lift (f : M →* P) (g : N →* P) :
MonoidHom.mrange (lift f g) = MonoidHom.mrange f ⊔ MonoidHom.mrange g := by
simp [mrange_eq]
end Lift
section ToProd
variable {M N : Type*} [Monoid M] [Monoid N]
@[to_additive] instance : Monoid (M ∗ N) :=
{ mul_assoc := (Con.monoid _).mul_assoc
one_mul := (Con.monoid _).one_mul
mul_one := (Con.monoid _).mul_one }
/-- The natural projection `M ∗ N →* M`. -/
@[to_additive "The natural projection `AddMonoid.Coprod M N →+ M`."]
def fst : M ∗ N →* M := lift (.id M) 1
/-- The natural projection `M ∗ N →* N`. -/
@[to_additive "The natural projection `AddMonoid.Coprod M N →+ N`."]
def snd : M ∗ N →* N := lift 1 (.id N)
/-- The natural projection `M ∗ N →* M × N`. -/
@[to_additive toProd "The natural projection `AddMonoid.Coprod M N →+ M × N`."]
def toProd : M ∗ N →* M × N := lift (.inl _ _) (.inr _ _)
@[deprecated (since := "2025-03-11")]
alias _root_.AddMonoid.Coprod.toSum := AddMonoid.Coprod.toProd
@[to_additive (attr := simp)] theorem fst_comp_inl : (fst : M ∗ N →* M).comp inl = .id _ := rfl
@[to_additive (attr := simp)] theorem fst_apply_inl (x : M) : fst (inl x : M ∗ N) = x := rfl
@[to_additive (attr := simp)] theorem fst_comp_inr : (fst : M ∗ N →* M).comp inr = 1 := rfl
@[to_additive (attr := simp)] theorem fst_apply_inr (x : N) : fst (inr x : M ∗ N) = 1 := rfl
@[to_additive (attr := simp)] theorem snd_comp_inl : (snd : M ∗ N →* N).comp inl = 1 := rfl
@[to_additive (attr := simp)] theorem snd_apply_inl (x : M) : snd (inl x : M ∗ N) = 1 := rfl
@[to_additive (attr := simp)] theorem snd_comp_inr : (snd : M ∗ N →* N).comp inr = .id _ := rfl
@[to_additive (attr := simp)] theorem snd_apply_inr (x : N) : snd (inr x : M ∗ N) = x := rfl
@[to_additive (attr := simp) toProd_comp_inl]
theorem toProd_comp_inl : (toProd : M ∗ N →* M × N).comp inl = .inl _ _ := rfl
@[deprecated (since := "2025-03-11")]
alias _root_.AddMonoid.Coprod.toSum_comp_inl := AddMonoid.Coprod.toProd_comp_inl
@[to_additive (attr := simp) toProd_comp_inr]
theorem toProd_comp_inr : (toProd : M ∗ N →* M × N).comp inr = .inr _ _ := rfl
@[deprecated (since := "2025-03-11")]
alias _root_.AddMonoid.Coprod.toSum_comp_inr := AddMonoid.Coprod.toProd_comp_inr
@[to_additive (attr := simp) toProd_apply_inl]
theorem toProd_apply_inl (x : M) : toProd (inl x : M ∗ N) = (x, 1) := rfl
@[deprecated (since := "2025-03-11")]
alias _root_.AddMonoid.Coprod.toSum_apply_inl := AddMonoid.Coprod.toProd_apply_inl
@[to_additive (attr := simp) toProd_apply_inr]
theorem toProd_apply_inr (x : N) : toProd (inr x : M ∗ N) = (1, x) := rfl
@[deprecated (since := "2025-03-11")]
alias _root_.AddMonoid.Coprod.toSum_apply_inr := AddMonoid.Coprod.toProd_apply_inr
|
@[to_additive (attr := simp) fst_prod_snd]
| Mathlib/GroupTheory/Coprod/Basic.lean | 520 | 521 |
/-
Copyright (c) 2019 Sébastien Gouëzel. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Sébastien Gouëzel
-/
import Mathlib.Analysis.SpecificLimits.Basic
import Mathlib.Topology.MetricSpace.IsometricSMul
/-!
# Hausdorff distance
The Hausdorff distance on subsets of a metric (or emetric) space.
Given two subsets `s` and `t` of a metric space, their Hausdorff distance is the smallest `d`
such that any point `s` is within `d` of a point in `t`, and conversely. This quantity
is often infinite (think of `s` bounded and `t` unbounded), and therefore better
expressed in the setting of emetric spaces.
## Main definitions
This files introduces:
* `EMetric.infEdist x s`, the infimum edistance of a point `x` to a set `s` in an emetric space
* `EMetric.hausdorffEdist s t`, the Hausdorff edistance of two sets in an emetric space
* Versions of these notions on metric spaces, called respectively `Metric.infDist`
and `Metric.hausdorffDist`
## Main results
* `infEdist_closure`: the edistance to a set and its closure coincide
* `EMetric.mem_closure_iff_infEdist_zero`: a point `x` belongs to the closure of `s` iff
`infEdist x s = 0`
* `IsCompact.exists_infEdist_eq_edist`: if `s` is compact and non-empty, there exists a point `y`
which attains this edistance
* `IsOpen.exists_iUnion_isClosed`: every open set `U` can be written as the increasing union
of countably many closed subsets of `U`
* `hausdorffEdist_closure`: replacing a set by its closure does not change the Hausdorff edistance
* `hausdorffEdist_zero_iff_closure_eq_closure`: two sets have Hausdorff edistance zero
iff their closures coincide
* the Hausdorff edistance is symmetric and satisfies the triangle inequality
* in particular, closed sets in an emetric space are an emetric space
(this is shown in `EMetricSpace.closeds.emetricspace`)
* versions of these notions on metric spaces
* `hausdorffEdist_ne_top_of_nonempty_of_bounded`: if two sets in a metric space
are nonempty and bounded in a metric space, they are at finite Hausdorff edistance.
## Tags
metric space, Hausdorff distance
-/
noncomputable section
open NNReal ENNReal Topology Set Filter Pointwise Bornology
universe u v w
variable {ι : Sort*} {α : Type u} {β : Type v}
namespace EMetric
section InfEdist
variable [PseudoEMetricSpace α] [PseudoEMetricSpace β] {x y : α} {s t : Set α} {Φ : α → β}
/-! ### Distance of a point to a set as a function into `ℝ≥0∞`. -/
/-- The minimal edistance of a point to a set -/
def infEdist (x : α) (s : Set α) : ℝ≥0∞ :=
⨅ y ∈ s, edist x y
@[simp]
theorem infEdist_empty : infEdist x ∅ = ∞ :=
iInf_emptyset
theorem le_infEdist {d} : d ≤ infEdist x s ↔ ∀ y ∈ s, d ≤ edist x y := by
simp only [infEdist, le_iInf_iff]
/-- The edist to a union is the minimum of the edists -/
@[simp]
theorem infEdist_union : infEdist x (s ∪ t) = infEdist x s ⊓ infEdist x t :=
iInf_union
@[simp]
theorem infEdist_iUnion (f : ι → Set α) (x : α) : infEdist x (⋃ i, f i) = ⨅ i, infEdist x (f i) :=
iInf_iUnion f _
lemma infEdist_biUnion {ι : Type*} (f : ι → Set α) (I : Set ι) (x : α) :
infEdist x (⋃ i ∈ I, f i) = ⨅ i ∈ I, infEdist x (f i) := by simp only [infEdist_iUnion]
/-- The edist to a singleton is the edistance to the single point of this singleton -/
@[simp]
theorem infEdist_singleton : infEdist x {y} = edist x y :=
iInf_singleton
/-- The edist to a set is bounded above by the edist to any of its points -/
theorem infEdist_le_edist_of_mem (h : y ∈ s) : infEdist x s ≤ edist x y :=
iInf₂_le y h
/-- If a point `x` belongs to `s`, then its edist to `s` vanishes -/
theorem infEdist_zero_of_mem (h : x ∈ s) : infEdist x s = 0 :=
nonpos_iff_eq_zero.1 <| @edist_self _ _ x ▸ infEdist_le_edist_of_mem h
/-- The edist is antitone with respect to inclusion. -/
theorem infEdist_anti (h : s ⊆ t) : infEdist x t ≤ infEdist x s :=
iInf_le_iInf_of_subset h
/-- The edist to a set is `< r` iff there exists a point in the set at edistance `< r` -/
theorem infEdist_lt_iff {r : ℝ≥0∞} : infEdist x s < r ↔ ∃ y ∈ s, edist x y < r := by
simp_rw [infEdist, iInf_lt_iff, exists_prop]
/-- The edist of `x` to `s` is bounded by the sum of the edist of `y` to `s` and
the edist from `x` to `y` -/
theorem infEdist_le_infEdist_add_edist : infEdist x s ≤ infEdist y s + edist x y :=
calc
⨅ z ∈ s, edist x z ≤ ⨅ z ∈ s, edist y z + edist x y :=
iInf₂_mono fun _ _ => (edist_triangle _ _ _).trans_eq (add_comm _ _)
_ = (⨅ z ∈ s, edist y z) + edist x y := by simp only [ENNReal.iInf_add]
theorem infEdist_le_edist_add_infEdist : infEdist x s ≤ edist x y + infEdist y s := by
rw [add_comm]
exact infEdist_le_infEdist_add_edist
theorem edist_le_infEdist_add_ediam (hy : y ∈ s) : edist x y ≤ infEdist x s + diam s := by
simp_rw [infEdist, ENNReal.iInf_add]
refine le_iInf₂ fun i hi => ?_
calc
edist x y ≤ edist x i + edist i y := edist_triangle _ _ _
_ ≤ edist x i + diam s := add_le_add le_rfl (edist_le_diam_of_mem hi hy)
/-- The edist to a set depends continuously on the point -/
@[continuity]
theorem continuous_infEdist : Continuous fun x => infEdist x s :=
continuous_of_le_add_edist 1 (by simp) <| by
simp only [one_mul, infEdist_le_infEdist_add_edist, forall₂_true_iff]
/-- The edist to a set and to its closure coincide -/
theorem infEdist_closure : infEdist x (closure s) = infEdist x s := by
refine le_antisymm (infEdist_anti subset_closure) ?_
refine ENNReal.le_of_forall_pos_le_add fun ε εpos h => ?_
have ε0 : 0 < (ε / 2 : ℝ≥0∞) := by simpa [pos_iff_ne_zero] using εpos
have : infEdist x (closure s) < infEdist x (closure s) + ε / 2 :=
ENNReal.lt_add_right h.ne ε0.ne'
obtain ⟨y : α, ycs : y ∈ closure s, hy : edist x y < infEdist x (closure s) + ↑ε / 2⟩ :=
infEdist_lt_iff.mp this
obtain ⟨z : α, zs : z ∈ s, dyz : edist y z < ↑ε / 2⟩ := EMetric.mem_closure_iff.1 ycs (ε / 2) ε0
calc
infEdist x s ≤ edist x z := infEdist_le_edist_of_mem zs
_ ≤ edist x y + edist y z := edist_triangle _ _ _
_ ≤ infEdist x (closure s) + ε / 2 + ε / 2 := add_le_add (le_of_lt hy) (le_of_lt dyz)
_ = infEdist x (closure s) + ↑ε := by rw [add_assoc, ENNReal.add_halves]
/-- A point belongs to the closure of `s` iff its infimum edistance to this set vanishes -/
theorem mem_closure_iff_infEdist_zero : x ∈ closure s ↔ infEdist x s = 0 :=
⟨fun h => by
rw [← infEdist_closure]
exact infEdist_zero_of_mem h,
fun h =>
EMetric.mem_closure_iff.2 fun ε εpos => infEdist_lt_iff.mp <| by rwa [h]⟩
/-- Given a closed set `s`, a point belongs to `s` iff its infimum edistance to this set vanishes -/
theorem mem_iff_infEdist_zero_of_closed (h : IsClosed s) : x ∈ s ↔ infEdist x s = 0 := by
rw [← mem_closure_iff_infEdist_zero, h.closure_eq]
/-- The infimum edistance of a point to a set is positive if and only if the point is not in the
closure of the set. -/
theorem infEdist_pos_iff_not_mem_closure {x : α} {E : Set α} :
0 < infEdist x E ↔ x ∉ closure E := by
rw [mem_closure_iff_infEdist_zero, pos_iff_ne_zero]
theorem infEdist_closure_pos_iff_not_mem_closure {x : α} {E : Set α} :
0 < infEdist x (closure E) ↔ x ∉ closure E := by
rw [infEdist_closure, infEdist_pos_iff_not_mem_closure]
theorem exists_real_pos_lt_infEdist_of_not_mem_closure {x : α} {E : Set α} (h : x ∉ closure E) :
∃ ε : ℝ, 0 < ε ∧ ENNReal.ofReal ε < infEdist x E := by
rw [← infEdist_pos_iff_not_mem_closure, ENNReal.lt_iff_exists_real_btwn] at h
rcases h with ⟨ε, ⟨_, ⟨ε_pos, ε_lt⟩⟩⟩
exact ⟨ε, ⟨ENNReal.ofReal_pos.mp ε_pos, ε_lt⟩⟩
theorem disjoint_closedBall_of_lt_infEdist {r : ℝ≥0∞} (h : r < infEdist x s) :
Disjoint (closedBall x r) s := by
rw [disjoint_left]
intro y hy h'y
apply lt_irrefl (infEdist x s)
calc
infEdist x s ≤ edist x y := infEdist_le_edist_of_mem h'y
_ ≤ r := by rwa [mem_closedBall, edist_comm] at hy
_ < infEdist x s := h
/-- The infimum edistance is invariant under isometries -/
theorem infEdist_image (hΦ : Isometry Φ) : infEdist (Φ x) (Φ '' t) = infEdist x t := by
simp only [infEdist, iInf_image, hΦ.edist_eq]
@[to_additive (attr := simp)]
theorem infEdist_smul {M} [SMul M α] [IsIsometricSMul M α] (c : M) (x : α) (s : Set α) :
infEdist (c • x) (c • s) = infEdist x s :=
infEdist_image (isometry_smul _ _)
theorem _root_.IsOpen.exists_iUnion_isClosed {U : Set α} (hU : IsOpen U) :
∃ F : ℕ → Set α, (∀ n, IsClosed (F n)) ∧ (∀ n, F n ⊆ U) ∧ ⋃ n, F n = U ∧ Monotone F := by
obtain ⟨a, a_pos, a_lt_one⟩ : ∃ a : ℝ≥0∞, 0 < a ∧ a < 1 := exists_between zero_lt_one
let F := fun n : ℕ => (fun x => infEdist x Uᶜ) ⁻¹' Ici (a ^ n)
have F_subset : ∀ n, F n ⊆ U := fun n x hx ↦ by
by_contra h
have : infEdist x Uᶜ ≠ 0 := ((ENNReal.pow_pos a_pos _).trans_le hx).ne'
exact this (infEdist_zero_of_mem h)
refine ⟨F, fun n => IsClosed.preimage continuous_infEdist isClosed_Ici, F_subset, ?_, ?_⟩
· show ⋃ n, F n = U
refine Subset.antisymm (by simp only [iUnion_subset_iff, F_subset, forall_const]) fun x hx => ?_
have : ¬x ∈ Uᶜ := by simpa using hx
rw [mem_iff_infEdist_zero_of_closed hU.isClosed_compl] at this
have B : 0 < infEdist x Uᶜ := by simpa [pos_iff_ne_zero] using this
have : Filter.Tendsto (fun n => a ^ n) atTop (𝓝 0) :=
ENNReal.tendsto_pow_atTop_nhds_zero_of_lt_one a_lt_one
rcases ((tendsto_order.1 this).2 _ B).exists with ⟨n, hn⟩
simp only [mem_iUnion, mem_Ici, mem_preimage]
exact ⟨n, hn.le⟩
show Monotone F
intro m n hmn x hx
simp only [F, mem_Ici, mem_preimage] at hx ⊢
apply le_trans (pow_le_pow_right_of_le_one' a_lt_one.le hmn) hx
theorem _root_.IsCompact.exists_infEdist_eq_edist (hs : IsCompact s) (hne : s.Nonempty) (x : α) :
∃ y ∈ s, infEdist x s = edist x y := by
have A : Continuous fun y => edist x y := continuous_const.edist continuous_id
obtain ⟨y, ys, hy⟩ := hs.exists_isMinOn hne A.continuousOn
exact ⟨y, ys, le_antisymm (infEdist_le_edist_of_mem ys) (by rwa [le_infEdist])⟩
theorem exists_pos_forall_lt_edist (hs : IsCompact s) (ht : IsClosed t) (hst : Disjoint s t) :
∃ r : ℝ≥0, 0 < r ∧ ∀ x ∈ s, ∀ y ∈ t, (r : ℝ≥0∞) < edist x y := by
rcases s.eq_empty_or_nonempty with (rfl | hne)
· use 1
simp
obtain ⟨x, hx, h⟩ := hs.exists_isMinOn hne continuous_infEdist.continuousOn
have : 0 < infEdist x t :=
pos_iff_ne_zero.2 fun H => hst.le_bot ⟨hx, (mem_iff_infEdist_zero_of_closed ht).mpr H⟩
rcases ENNReal.lt_iff_exists_nnreal_btwn.1 this with ⟨r, h₀, hr⟩
exact ⟨r, ENNReal.coe_pos.mp h₀, fun y hy z hz => hr.trans_le <| le_infEdist.1 (h hy) z hz⟩
end InfEdist
/-! ### The Hausdorff distance as a function into `ℝ≥0∞`. -/
/-- The Hausdorff edistance between two sets is the smallest `r` such that each set
is contained in the `r`-neighborhood of the other one -/
irreducible_def hausdorffEdist {α : Type u} [PseudoEMetricSpace α] (s t : Set α) : ℝ≥0∞ :=
(⨆ x ∈ s, infEdist x t) ⊔ ⨆ y ∈ t, infEdist y s
section HausdorffEdist
variable [PseudoEMetricSpace α] [PseudoEMetricSpace β] {x : α} {s t u : Set α} {Φ : α → β}
/-- The Hausdorff edistance of a set to itself vanishes. -/
@[simp]
theorem hausdorffEdist_self : hausdorffEdist s s = 0 := by
simp only [hausdorffEdist_def, sup_idem, ENNReal.iSup_eq_zero]
exact fun x hx => infEdist_zero_of_mem hx
/-- The Haudorff edistances of `s` to `t` and of `t` to `s` coincide. -/
theorem hausdorffEdist_comm : hausdorffEdist s t = hausdorffEdist t s := by
simp only [hausdorffEdist_def]; apply sup_comm
/-- Bounding the Hausdorff edistance by bounding the edistance of any point
in each set to the other set -/
theorem hausdorffEdist_le_of_infEdist {r : ℝ≥0∞} (H1 : ∀ x ∈ s, infEdist x t ≤ r)
(H2 : ∀ x ∈ t, infEdist x s ≤ r) : hausdorffEdist s t ≤ r := by
simp only [hausdorffEdist_def, sup_le_iff, iSup_le_iff]
exact ⟨H1, H2⟩
/-- Bounding the Hausdorff edistance by exhibiting, for any point in each set,
another point in the other set at controlled distance -/
theorem hausdorffEdist_le_of_mem_edist {r : ℝ≥0∞} (H1 : ∀ x ∈ s, ∃ y ∈ t, edist x y ≤ r)
(H2 : ∀ x ∈ t, ∃ y ∈ s, edist x y ≤ r) : hausdorffEdist s t ≤ r := by
refine hausdorffEdist_le_of_infEdist (fun x xs ↦ ?_) (fun x xt ↦ ?_)
· rcases H1 x xs with ⟨y, yt, hy⟩
exact le_trans (infEdist_le_edist_of_mem yt) hy
· rcases H2 x xt with ⟨y, ys, hy⟩
exact le_trans (infEdist_le_edist_of_mem ys) hy
/-- The distance to a set is controlled by the Hausdorff distance. -/
theorem infEdist_le_hausdorffEdist_of_mem (h : x ∈ s) : infEdist x t ≤ hausdorffEdist s t := by
rw [hausdorffEdist_def]
refine le_trans ?_ le_sup_left
exact le_iSup₂ (α := ℝ≥0∞) x h
/-- If the Hausdorff distance is `< r`, then any point in one of the sets has
a corresponding point at distance `< r` in the other set. -/
theorem exists_edist_lt_of_hausdorffEdist_lt {r : ℝ≥0∞} (h : x ∈ s) (H : hausdorffEdist s t < r) :
∃ y ∈ t, edist x y < r :=
infEdist_lt_iff.mp <|
calc
infEdist x t ≤ hausdorffEdist s t := infEdist_le_hausdorffEdist_of_mem h
_ < r := H
/-- The distance from `x` to `s` or `t` is controlled in terms of the Hausdorff distance
between `s` and `t`. -/
theorem infEdist_le_infEdist_add_hausdorffEdist :
infEdist x t ≤ infEdist x s + hausdorffEdist s t :=
ENNReal.le_of_forall_pos_le_add fun ε εpos h => by
have ε0 : (ε / 2 : ℝ≥0∞) ≠ 0 := by simpa [pos_iff_ne_zero] using εpos
have : infEdist x s < infEdist x s + ε / 2 :=
ENNReal.lt_add_right (ENNReal.add_lt_top.1 h).1.ne ε0
obtain ⟨y : α, ys : y ∈ s, dxy : edist x y < infEdist x s + ↑ε / 2⟩ := infEdist_lt_iff.mp this
have : hausdorffEdist s t < hausdorffEdist s t + ε / 2 :=
ENNReal.lt_add_right (ENNReal.add_lt_top.1 h).2.ne ε0
obtain ⟨z : α, zt : z ∈ t, dyz : edist y z < hausdorffEdist s t + ↑ε / 2⟩ :=
exists_edist_lt_of_hausdorffEdist_lt ys this
calc
infEdist x t ≤ edist x z := infEdist_le_edist_of_mem zt
_ ≤ edist x y + edist y z := edist_triangle _ _ _
_ ≤ infEdist x s + ε / 2 + (hausdorffEdist s t + ε / 2) := add_le_add dxy.le dyz.le
_ = infEdist x s + hausdorffEdist s t + ε := by
simp [ENNReal.add_halves, add_comm, add_left_comm]
/-- The Hausdorff edistance is invariant under isometries. -/
theorem hausdorffEdist_image (h : Isometry Φ) :
hausdorffEdist (Φ '' s) (Φ '' t) = hausdorffEdist s t := by
simp only [hausdorffEdist_def, iSup_image, infEdist_image h]
/-- The Hausdorff distance is controlled by the diameter of the union. -/
theorem hausdorffEdist_le_ediam (hs : s.Nonempty) (ht : t.Nonempty) :
hausdorffEdist s t ≤ diam (s ∪ t) := by
rcases hs with ⟨x, xs⟩
rcases ht with ⟨y, yt⟩
refine hausdorffEdist_le_of_mem_edist ?_ ?_
· intro z hz
exact ⟨y, yt, edist_le_diam_of_mem (subset_union_left hz) (subset_union_right yt)⟩
· intro z hz
exact ⟨x, xs, edist_le_diam_of_mem (subset_union_right hz) (subset_union_left xs)⟩
/-- The Hausdorff distance satisfies the triangle inequality. -/
theorem hausdorffEdist_triangle : hausdorffEdist s u ≤ hausdorffEdist s t + hausdorffEdist t u := by
rw [hausdorffEdist_def]
simp only [sup_le_iff, iSup_le_iff]
constructor
· show ∀ x ∈ s, infEdist x u ≤ hausdorffEdist s t + hausdorffEdist t u
exact fun x xs =>
calc
infEdist x u ≤ infEdist x t + hausdorffEdist t u :=
infEdist_le_infEdist_add_hausdorffEdist
_ ≤ hausdorffEdist s t + hausdorffEdist t u :=
add_le_add_right (infEdist_le_hausdorffEdist_of_mem xs) _
· show ∀ x ∈ u, infEdist x s ≤ hausdorffEdist s t + hausdorffEdist t u
exact fun x xu =>
calc
infEdist x s ≤ infEdist x t + hausdorffEdist t s :=
infEdist_le_infEdist_add_hausdorffEdist
_ ≤ hausdorffEdist u t + hausdorffEdist t s :=
add_le_add_right (infEdist_le_hausdorffEdist_of_mem xu) _
_ = hausdorffEdist s t + hausdorffEdist t u := by simp [hausdorffEdist_comm, add_comm]
/-- Two sets are at zero Hausdorff edistance if and only if they have the same closure. -/
theorem hausdorffEdist_zero_iff_closure_eq_closure :
hausdorffEdist s t = 0 ↔ closure s = closure t := by
simp only [hausdorffEdist_def, ENNReal.sup_eq_zero, ENNReal.iSup_eq_zero, ← subset_def,
← mem_closure_iff_infEdist_zero, subset_antisymm_iff, isClosed_closure.closure_subset_iff]
/-- The Hausdorff edistance between a set and its closure vanishes. -/
@[simp]
theorem hausdorffEdist_self_closure : hausdorffEdist s (closure s) = 0 := by
rw [hausdorffEdist_zero_iff_closure_eq_closure, closure_closure]
/-- Replacing a set by its closure does not change the Hausdorff edistance. -/
@[simp]
theorem hausdorffEdist_closure₁ : hausdorffEdist (closure s) t = hausdorffEdist s t := by
refine le_antisymm ?_ ?_
· calc
_ ≤ hausdorffEdist (closure s) s + hausdorffEdist s t := hausdorffEdist_triangle
_ = hausdorffEdist s t := by simp [hausdorffEdist_comm]
· calc
_ ≤ hausdorffEdist s (closure s) + hausdorffEdist (closure s) t := hausdorffEdist_triangle
_ = hausdorffEdist (closure s) t := by simp
/-- Replacing a set by its closure does not change the Hausdorff edistance. -/
@[simp]
theorem hausdorffEdist_closure₂ : hausdorffEdist s (closure t) = hausdorffEdist s t := by
simp [@hausdorffEdist_comm _ _ s _]
/-- The Hausdorff edistance between sets or their closures is the same. -/
theorem hausdorffEdist_closure : hausdorffEdist (closure s) (closure t) = hausdorffEdist s t := by
simp
/-- Two closed sets are at zero Hausdorff edistance if and only if they coincide. -/
theorem hausdorffEdist_zero_iff_eq_of_closed (hs : IsClosed s) (ht : IsClosed t) :
hausdorffEdist s t = 0 ↔ s = t := by
rw [hausdorffEdist_zero_iff_closure_eq_closure, hs.closure_eq, ht.closure_eq]
/-- The Haudorff edistance to the empty set is infinite. -/
theorem hausdorffEdist_empty (ne : s.Nonempty) : hausdorffEdist s ∅ = ∞ := by
rcases ne with ⟨x, xs⟩
have : infEdist x ∅ ≤ hausdorffEdist s ∅ := infEdist_le_hausdorffEdist_of_mem xs
simpa using this
/-- If a set is at finite Hausdorff edistance of a nonempty set, it is nonempty. -/
theorem nonempty_of_hausdorffEdist_ne_top (hs : s.Nonempty) (fin : hausdorffEdist s t ≠ ⊤) :
t.Nonempty :=
t.eq_empty_or_nonempty.resolve_left fun ht ↦ fin (ht.symm ▸ hausdorffEdist_empty hs)
theorem empty_or_nonempty_of_hausdorffEdist_ne_top (fin : hausdorffEdist s t ≠ ⊤) :
(s = ∅ ∧ t = ∅) ∨ (s.Nonempty ∧ t.Nonempty) := by
rcases s.eq_empty_or_nonempty with hs | hs
· rcases t.eq_empty_or_nonempty with ht | ht
· exact Or.inl ⟨hs, ht⟩
· rw [hausdorffEdist_comm] at fin
exact Or.inr ⟨nonempty_of_hausdorffEdist_ne_top ht fin, ht⟩
· exact Or.inr ⟨hs, nonempty_of_hausdorffEdist_ne_top hs fin⟩
end HausdorffEdist
-- section
end EMetric
/-! Now, we turn to the same notions in metric spaces. To avoid the difficulties related to
`sInf` and `sSup` on `ℝ` (which is only conditionally complete), we use the notions in `ℝ≥0∞`
formulated in terms of the edistance, and coerce them to `ℝ`.
Then their properties follow readily from the corresponding properties in `ℝ≥0∞`,
modulo some tedious rewriting of inequalities from one to the other. -/
--namespace
namespace Metric
section
variable [PseudoMetricSpace α] [PseudoMetricSpace β] {s t u : Set α} {x y : α} {Φ : α → β}
open EMetric
/-! ### Distance of a point to a set as a function into `ℝ`. -/
/-- The minimal distance of a point to a set -/
def infDist (x : α) (s : Set α) : ℝ :=
ENNReal.toReal (infEdist x s)
theorem infDist_eq_iInf : infDist x s = ⨅ y : s, dist x y := by
rw [infDist, infEdist, iInf_subtype', ENNReal.toReal_iInf]
· simp only [dist_edist]
· exact fun _ ↦ edist_ne_top _ _
/-- The minimal distance is always nonnegative -/
theorem infDist_nonneg : 0 ≤ infDist x s := toReal_nonneg
/-- The minimal distance to the empty set is 0 (if you want to have the more reasonable
value `∞` instead, use `EMetric.infEdist`, which takes values in `ℝ≥0∞`) -/
@[simp]
theorem infDist_empty : infDist x ∅ = 0 := by simp [infDist]
lemma isGLB_infDist (hs : s.Nonempty) : IsGLB ((dist x ·) '' s) (infDist x s) := by
simpa [infDist_eq_iInf, sInf_image']
using isGLB_csInf (hs.image _) ⟨0, by simp [lowerBounds, dist_nonneg]⟩
/-- In a metric space, the minimal edistance to a nonempty set is finite. -/
theorem infEdist_ne_top (h : s.Nonempty) : infEdist x s ≠ ⊤ := by
rcases h with ⟨y, hy⟩
exact ne_top_of_le_ne_top (edist_ne_top _ _) (infEdist_le_edist_of_mem hy)
@[simp]
theorem infEdist_eq_top_iff : infEdist x s = ∞ ↔ s = ∅ := by
rcases s.eq_empty_or_nonempty with rfl | hs <;> simp [*, Nonempty.ne_empty, infEdist_ne_top]
/-- The minimal distance of a point to a set containing it vanishes. -/
theorem infDist_zero_of_mem (h : x ∈ s) : infDist x s = 0 := by
simp [infEdist_zero_of_mem h, infDist]
/-- The minimal distance to a singleton is the distance to the unique point in this singleton. -/
@[simp]
theorem infDist_singleton : infDist x {y} = dist x y := by simp [infDist, dist_edist]
/-- The minimal distance to a set is bounded by the distance to any point in this set. -/
theorem infDist_le_dist_of_mem (h : y ∈ s) : infDist x s ≤ dist x y := by
rw [dist_edist, infDist]
exact ENNReal.toReal_mono (edist_ne_top _ _) (infEdist_le_edist_of_mem h)
/-- The minimal distance is monotone with respect to inclusion. -/
theorem infDist_le_infDist_of_subset (h : s ⊆ t) (hs : s.Nonempty) : infDist x t ≤ infDist x s :=
ENNReal.toReal_mono (infEdist_ne_top hs) (infEdist_anti h)
lemma le_infDist {r : ℝ} (hs : s.Nonempty) : r ≤ infDist x s ↔ ∀ ⦃y⦄, y ∈ s → r ≤ dist x y := by
simp_rw [infDist, ← ENNReal.ofReal_le_iff_le_toReal (infEdist_ne_top hs), le_infEdist,
ENNReal.ofReal_le_iff_le_toReal (edist_ne_top _ _), ← dist_edist]
/-- The minimal distance to a set `s` is `< r` iff there exists a point in `s` at distance `< r`. -/
theorem infDist_lt_iff {r : ℝ} (hs : s.Nonempty) : infDist x s < r ↔ ∃ y ∈ s, dist x y < r := by
simp [← not_le, le_infDist hs]
/-- The minimal distance from `x` to `s` is bounded by the distance from `y` to `s`, modulo
the distance between `x` and `y`. -/
theorem infDist_le_infDist_add_dist : infDist x s ≤ infDist y s + dist x y := by
rw [infDist, infDist, dist_edist]
refine ENNReal.toReal_le_add' infEdist_le_infEdist_add_edist ?_ (flip absurd (edist_ne_top _ _))
simp only [infEdist_eq_top_iff, imp_self]
theorem not_mem_of_dist_lt_infDist (h : dist x y < infDist x s) : y ∉ s := fun hy =>
h.not_le <| infDist_le_dist_of_mem hy
theorem disjoint_ball_infDist : Disjoint (ball x (infDist x s)) s :=
disjoint_left.2 fun _y hy => not_mem_of_dist_lt_infDist <| mem_ball'.1 hy
theorem ball_infDist_subset_compl : ball x (infDist x s) ⊆ sᶜ :=
(disjoint_ball_infDist (s := s)).subset_compl_right
theorem ball_infDist_compl_subset : ball x (infDist x sᶜ) ⊆ s :=
ball_infDist_subset_compl.trans_eq (compl_compl s)
theorem disjoint_closedBall_of_lt_infDist {r : ℝ} (h : r < infDist x s) :
Disjoint (closedBall x r) s :=
disjoint_ball_infDist.mono_left <| closedBall_subset_ball h
theorem dist_le_infDist_add_diam (hs : IsBounded s) (hy : y ∈ s) :
dist x y ≤ infDist x s + diam s := by
rw [infDist, diam, dist_edist]
exact toReal_le_add (edist_le_infEdist_add_ediam hy) (infEdist_ne_top ⟨y, hy⟩) hs.ediam_ne_top
variable (s)
/-- The minimal distance to a set is Lipschitz in point with constant 1 -/
theorem lipschitz_infDist_pt : LipschitzWith 1 (infDist · s) :=
LipschitzWith.of_le_add fun _ _ => infDist_le_infDist_add_dist
/-- The minimal distance to a set is uniformly continuous in point -/
theorem uniformContinuous_infDist_pt : UniformContinuous (infDist · s) :=
(lipschitz_infDist_pt s).uniformContinuous
/-- The minimal distance to a set is continuous in point -/
@[continuity]
theorem continuous_infDist_pt : Continuous (infDist · s) :=
(uniformContinuous_infDist_pt s).continuous
variable {s}
/-- The minimal distances to a set and its closure coincide. -/
theorem infDist_closure : infDist x (closure s) = infDist x s := by
simp [infDist, infEdist_closure]
/-- If a point belongs to the closure of `s`, then its infimum distance to `s` equals zero.
The converse is true provided that `s` is nonempty, see `Metric.mem_closure_iff_infDist_zero`. -/
theorem infDist_zero_of_mem_closure (hx : x ∈ closure s) : infDist x s = 0 := by
rw [← infDist_closure]
exact infDist_zero_of_mem hx
/-- A point belongs to the closure of `s` iff its infimum distance to this set vanishes. -/
theorem mem_closure_iff_infDist_zero (h : s.Nonempty) : x ∈ closure s ↔ infDist x s = 0 := by
simp [mem_closure_iff_infEdist_zero, infDist, ENNReal.toReal_eq_zero_iff, infEdist_ne_top h]
theorem infDist_pos_iff_not_mem_closure (hs : s.Nonempty) :
x ∉ closure s ↔ 0 < infDist x s :=
(mem_closure_iff_infDist_zero hs).not.trans infDist_nonneg.gt_iff_ne.symm
/-- Given a closed set `s`, a point belongs to `s` iff its infimum distance to this set vanishes -/
theorem _root_.IsClosed.mem_iff_infDist_zero (h : IsClosed s) (hs : s.Nonempty) :
x ∈ s ↔ infDist x s = 0 := by rw [← mem_closure_iff_infDist_zero hs, h.closure_eq]
/-- Given a closed set `s`, a point belongs to `s` iff its infimum distance to this set vanishes. -/
theorem _root_.IsClosed.not_mem_iff_infDist_pos (h : IsClosed s) (hs : s.Nonempty) :
x ∉ s ↔ 0 < infDist x s := by
simp [h.mem_iff_infDist_zero hs, infDist_nonneg.gt_iff_ne]
theorem continuousAt_inv_infDist_pt (h : x ∉ closure s) :
ContinuousAt (fun x ↦ (infDist x s)⁻¹) x := by
rcases s.eq_empty_or_nonempty with (rfl | hs)
· simp only [infDist_empty, continuousAt_const]
· refine (continuous_infDist_pt s).continuousAt.inv₀ ?_
rwa [Ne, ← mem_closure_iff_infDist_zero hs]
/-- The infimum distance is invariant under isometries. -/
theorem infDist_image (hΦ : Isometry Φ) : infDist (Φ x) (Φ '' t) = infDist x t := by
simp [infDist, infEdist_image hΦ]
theorem infDist_inter_closedBall_of_mem (h : y ∈ s) :
infDist x (s ∩ closedBall x (dist y x)) = infDist x s := by
replace h : y ∈ s ∩ closedBall x (dist y x) := ⟨h, mem_closedBall.2 le_rfl⟩
refine le_antisymm ?_ (infDist_le_infDist_of_subset inter_subset_left ⟨y, h⟩)
refine not_lt.1 fun hlt => ?_
rcases (infDist_lt_iff ⟨y, h.1⟩).mp hlt with ⟨z, hzs, hz⟩
rcases le_or_lt (dist z x) (dist y x) with hle | hlt
· exact hz.not_le (infDist_le_dist_of_mem ⟨hzs, hle⟩)
· rw [dist_comm z, dist_comm y] at hlt
exact (hlt.trans hz).not_le (infDist_le_dist_of_mem h)
theorem _root_.IsCompact.exists_infDist_eq_dist (h : IsCompact s) (hne : s.Nonempty) (x : α) :
∃ y ∈ s, infDist x s = dist x y :=
let ⟨y, hys, hy⟩ := h.exists_infEdist_eq_edist hne x
⟨y, hys, by rw [infDist, dist_edist, hy]⟩
theorem _root_.IsClosed.exists_infDist_eq_dist [ProperSpace α] (h : IsClosed s) (hne : s.Nonempty)
(x : α) : ∃ y ∈ s, infDist x s = dist x y := by
rcases hne with ⟨z, hz⟩
rw [← infDist_inter_closedBall_of_mem hz]
set t := s ∩ closedBall x (dist z x)
have htc : IsCompact t := (isCompact_closedBall x (dist z x)).inter_left h
have htne : t.Nonempty := ⟨z, hz, mem_closedBall.2 le_rfl⟩
obtain ⟨y, ⟨hys, -⟩, hyd⟩ : ∃ y ∈ t, infDist x t = dist x y := htc.exists_infDist_eq_dist htne x
exact ⟨y, hys, hyd⟩
theorem exists_mem_closure_infDist_eq_dist [ProperSpace α] (hne : s.Nonempty) (x : α) :
∃ y ∈ closure s, infDist x s = dist x y := by
simpa only [infDist_closure] using isClosed_closure.exists_infDist_eq_dist hne.closure x
/-! ### Distance of a point to a set as a function into `ℝ≥0`. -/
/-- The minimal distance of a point to a set as a `ℝ≥0` -/
def infNndist (x : α) (s : Set α) : ℝ≥0 :=
ENNReal.toNNReal (infEdist x s)
@[simp]
theorem coe_infNndist : (infNndist x s : ℝ) = infDist x s :=
rfl
/-- The minimal distance to a set (as `ℝ≥0`) is Lipschitz in point with constant 1 -/
theorem lipschitz_infNndist_pt (s : Set α) : LipschitzWith 1 fun x => infNndist x s :=
LipschitzWith.of_le_add fun _ _ => infDist_le_infDist_add_dist
/-- The minimal distance to a set (as `ℝ≥0`) is uniformly continuous in point -/
theorem uniformContinuous_infNndist_pt (s : Set α) : UniformContinuous fun x => infNndist x s :=
(lipschitz_infNndist_pt s).uniformContinuous
/-- The minimal distance to a set (as `ℝ≥0`) is continuous in point -/
theorem continuous_infNndist_pt (s : Set α) : Continuous fun x => infNndist x s :=
(uniformContinuous_infNndist_pt s).continuous
/-! ### The Hausdorff distance as a function into `ℝ`. -/
/-- The Hausdorff distance between two sets is the smallest nonnegative `r` such that each set is
included in the `r`-neighborhood of the other. If there is no such `r`, it is defined to
be `0`, arbitrarily. -/
def hausdorffDist (s t : Set α) : ℝ :=
ENNReal.toReal (hausdorffEdist s t)
/-- The Hausdorff distance is nonnegative. -/
theorem hausdorffDist_nonneg : 0 ≤ hausdorffDist s t := by simp [hausdorffDist]
/-- If two sets are nonempty and bounded in a metric space, they are at finite Hausdorff
edistance. -/
theorem hausdorffEdist_ne_top_of_nonempty_of_bounded (hs : s.Nonempty) (ht : t.Nonempty)
(bs : IsBounded s) (bt : IsBounded t) : hausdorffEdist s t ≠ ⊤ := by
| rcases hs with ⟨cs, hcs⟩
rcases ht with ⟨ct, hct⟩
rcases bs.subset_closedBall ct with ⟨rs, hrs⟩
rcases bt.subset_closedBall cs with ⟨rt, hrt⟩
have : hausdorffEdist s t ≤ ENNReal.ofReal (max rs rt) := by
apply hausdorffEdist_le_of_mem_edist
· intro x xs
exists ct, hct
have : dist x ct ≤ max rs rt := le_trans (hrs xs) (le_max_left _ _)
rwa [edist_dist, ENNReal.ofReal_le_ofReal_iff]
| Mathlib/Topology/MetricSpace/HausdorffDistance.lean | 636 | 645 |
/-
Copyright (c) 2022 Joseph Myers. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Joseph Myers
-/
import Mathlib.Algebra.ModEq
import Mathlib.Algebra.Order.Archimedean.Basic
import Mathlib.Algebra.Ring.Periodic
import Mathlib.Data.Int.SuccPred
import Mathlib.Order.Circular
/-!
# Reducing to an interval modulo its length
This file defines operations that reduce a number (in an `Archimedean`
`LinearOrderedAddCommGroup`) to a number in a given interval, modulo the length of that
interval.
## Main definitions
* `toIcoDiv hp a b` (where `hp : 0 < p`): The unique integer such that this multiple of `p`,
subtracted from `b`, is in `Ico a (a + p)`.
* `toIcoMod hp a b` (where `hp : 0 < p`): Reduce `b` to the interval `Ico a (a + p)`.
* `toIocDiv hp a b` (where `hp : 0 < p`): The unique integer such that this multiple of `p`,
subtracted from `b`, is in `Ioc a (a + p)`.
* `toIocMod hp a b` (where `hp : 0 < p`): Reduce `b` to the interval `Ioc a (a + p)`.
-/
assert_not_exists TwoSidedIdeal
noncomputable section
section LinearOrderedAddCommGroup
variable {α : Type*} [AddCommGroup α] [LinearOrder α] [IsOrderedAddMonoid α] [hα : Archimedean α]
{p : α} (hp : 0 < p)
{a b c : α} {n : ℤ}
section
include hp
/--
The unique integer such that this multiple of `p`, subtracted from `b`, is in `Ico a (a + p)`. -/
def toIcoDiv (a b : α) : ℤ :=
(existsUnique_sub_zsmul_mem_Ico hp b a).choose
theorem sub_toIcoDiv_zsmul_mem_Ico (a b : α) : b - toIcoDiv hp a b • p ∈ Set.Ico a (a + p) :=
(existsUnique_sub_zsmul_mem_Ico hp b a).choose_spec.1
theorem toIcoDiv_eq_of_sub_zsmul_mem_Ico (h : b - n • p ∈ Set.Ico a (a + p)) :
toIcoDiv hp a b = n :=
((existsUnique_sub_zsmul_mem_Ico hp b a).choose_spec.2 _ h).symm
/--
The unique integer such that this multiple of `p`, subtracted from `b`, is in `Ioc a (a + p)`. -/
def toIocDiv (a b : α) : ℤ :=
(existsUnique_sub_zsmul_mem_Ioc hp b a).choose
theorem sub_toIocDiv_zsmul_mem_Ioc (a b : α) : b - toIocDiv hp a b • p ∈ Set.Ioc a (a + p) :=
(existsUnique_sub_zsmul_mem_Ioc hp b a).choose_spec.1
theorem toIocDiv_eq_of_sub_zsmul_mem_Ioc (h : b - n • p ∈ Set.Ioc a (a + p)) :
toIocDiv hp a b = n :=
((existsUnique_sub_zsmul_mem_Ioc hp b a).choose_spec.2 _ h).symm
/-- Reduce `b` to the interval `Ico a (a + p)`. -/
def toIcoMod (a b : α) : α :=
b - toIcoDiv hp a b • p
/-- Reduce `b` to the interval `Ioc a (a + p)`. -/
def toIocMod (a b : α) : α :=
b - toIocDiv hp a b • p
theorem toIcoMod_mem_Ico (a b : α) : toIcoMod hp a b ∈ Set.Ico a (a + p) :=
sub_toIcoDiv_zsmul_mem_Ico hp a b
theorem toIcoMod_mem_Ico' (b : α) : toIcoMod hp 0 b ∈ Set.Ico 0 p := by
convert toIcoMod_mem_Ico hp 0 b
exact (zero_add p).symm
theorem toIocMod_mem_Ioc (a b : α) : toIocMod hp a b ∈ Set.Ioc a (a + p) :=
sub_toIocDiv_zsmul_mem_Ioc hp a b
theorem left_le_toIcoMod (a b : α) : a ≤ toIcoMod hp a b :=
(Set.mem_Ico.1 (toIcoMod_mem_Ico hp a b)).1
theorem left_lt_toIocMod (a b : α) : a < toIocMod hp a b :=
(Set.mem_Ioc.1 (toIocMod_mem_Ioc hp a b)).1
theorem toIcoMod_lt_right (a b : α) : toIcoMod hp a b < a + p :=
(Set.mem_Ico.1 (toIcoMod_mem_Ico hp a b)).2
theorem toIocMod_le_right (a b : α) : toIocMod hp a b ≤ a + p :=
(Set.mem_Ioc.1 (toIocMod_mem_Ioc hp a b)).2
@[simp]
theorem self_sub_toIcoDiv_zsmul (a b : α) : b - toIcoDiv hp a b • p = toIcoMod hp a b :=
rfl
@[simp]
theorem self_sub_toIocDiv_zsmul (a b : α) : b - toIocDiv hp a b • p = toIocMod hp a b :=
rfl
@[simp]
theorem toIcoDiv_zsmul_sub_self (a b : α) : toIcoDiv hp a b • p - b = -toIcoMod hp a b := by
rw [toIcoMod, neg_sub]
@[simp]
theorem toIocDiv_zsmul_sub_self (a b : α) : toIocDiv hp a b • p - b = -toIocMod hp a b := by
rw [toIocMod, neg_sub]
@[simp]
theorem toIcoMod_sub_self (a b : α) : toIcoMod hp a b - b = -toIcoDiv hp a b • p := by
rw [toIcoMod, sub_sub_cancel_left, neg_smul]
@[simp]
theorem toIocMod_sub_self (a b : α) : toIocMod hp a b - b = -toIocDiv hp a b • p := by
rw [toIocMod, sub_sub_cancel_left, neg_smul]
@[simp]
theorem self_sub_toIcoMod (a b : α) : b - toIcoMod hp a b = toIcoDiv hp a b • p := by
rw [toIcoMod, sub_sub_cancel]
@[simp]
theorem self_sub_toIocMod (a b : α) : b - toIocMod hp a b = toIocDiv hp a b • p := by
rw [toIocMod, sub_sub_cancel]
@[simp]
theorem toIcoMod_add_toIcoDiv_zsmul (a b : α) : toIcoMod hp a b + toIcoDiv hp a b • p = b := by
rw [toIcoMod, sub_add_cancel]
@[simp]
theorem toIocMod_add_toIocDiv_zsmul (a b : α) : toIocMod hp a b + toIocDiv hp a b • p = b := by
rw [toIocMod, sub_add_cancel]
@[simp]
theorem toIcoDiv_zsmul_sub_toIcoMod (a b : α) : toIcoDiv hp a b • p + toIcoMod hp a b = b := by
rw [add_comm, toIcoMod_add_toIcoDiv_zsmul]
@[simp]
theorem toIocDiv_zsmul_sub_toIocMod (a b : α) : toIocDiv hp a b • p + toIocMod hp a b = b := by
rw [add_comm, toIocMod_add_toIocDiv_zsmul]
theorem toIcoMod_eq_iff : toIcoMod hp a b = c ↔ c ∈ Set.Ico a (a + p) ∧ ∃ z : ℤ, b = c + z • p := by
refine
⟨fun h =>
⟨h ▸ toIcoMod_mem_Ico hp a b, toIcoDiv hp a b, h ▸ (toIcoMod_add_toIcoDiv_zsmul _ _ _).symm⟩,
?_⟩
simp_rw [← @sub_eq_iff_eq_add]
rintro ⟨hc, n, rfl⟩
rw [← toIcoDiv_eq_of_sub_zsmul_mem_Ico hp hc, toIcoMod]
theorem toIocMod_eq_iff : toIocMod hp a b = c ↔ c ∈ Set.Ioc a (a + p) ∧ ∃ z : ℤ, b = c + z • p := by
refine
⟨fun h =>
⟨h ▸ toIocMod_mem_Ioc hp a b, toIocDiv hp a b, h ▸ (toIocMod_add_toIocDiv_zsmul hp _ _).symm⟩,
?_⟩
simp_rw [← @sub_eq_iff_eq_add]
rintro ⟨hc, n, rfl⟩
rw [← toIocDiv_eq_of_sub_zsmul_mem_Ioc hp hc, toIocMod]
@[simp]
theorem toIcoDiv_apply_left (a : α) : toIcoDiv hp a a = 0 :=
toIcoDiv_eq_of_sub_zsmul_mem_Ico hp <| by simp [hp]
@[simp]
theorem toIocDiv_apply_left (a : α) : toIocDiv hp a a = -1 :=
toIocDiv_eq_of_sub_zsmul_mem_Ioc hp <| by simp [hp]
@[simp]
theorem toIcoMod_apply_left (a : α) : toIcoMod hp a a = a := by
rw [toIcoMod_eq_iff hp, Set.left_mem_Ico]
exact ⟨lt_add_of_pos_right _ hp, 0, by simp⟩
@[simp]
theorem toIocMod_apply_left (a : α) : toIocMod hp a a = a + p := by
rw [toIocMod_eq_iff hp, Set.right_mem_Ioc]
exact ⟨lt_add_of_pos_right _ hp, -1, by simp⟩
theorem toIcoDiv_apply_right (a : α) : toIcoDiv hp a (a + p) = 1 :=
toIcoDiv_eq_of_sub_zsmul_mem_Ico hp <| by simp [hp]
theorem toIocDiv_apply_right (a : α) : toIocDiv hp a (a + p) = 0 :=
toIocDiv_eq_of_sub_zsmul_mem_Ioc hp <| by simp [hp]
theorem toIcoMod_apply_right (a : α) : toIcoMod hp a (a + p) = a := by
rw [toIcoMod_eq_iff hp, Set.left_mem_Ico]
exact ⟨lt_add_of_pos_right _ hp, 1, by simp⟩
theorem toIocMod_apply_right (a : α) : toIocMod hp a (a + p) = a + p := by
rw [toIocMod_eq_iff hp, Set.right_mem_Ioc]
exact ⟨lt_add_of_pos_right _ hp, 0, by simp⟩
@[simp]
theorem toIcoDiv_add_zsmul (a b : α) (m : ℤ) : toIcoDiv hp a (b + m • p) = toIcoDiv hp a b + m :=
toIcoDiv_eq_of_sub_zsmul_mem_Ico hp <| by
simpa only [add_smul, add_sub_add_right_eq_sub] using sub_toIcoDiv_zsmul_mem_Ico hp a b
@[simp]
theorem toIcoDiv_add_zsmul' (a b : α) (m : ℤ) :
toIcoDiv hp (a + m • p) b = toIcoDiv hp a b - m := by
refine toIcoDiv_eq_of_sub_zsmul_mem_Ico _ ?_
rw [sub_smul, ← sub_add, add_right_comm]
simpa using sub_toIcoDiv_zsmul_mem_Ico hp a b
@[simp]
theorem toIocDiv_add_zsmul (a b : α) (m : ℤ) : toIocDiv hp a (b + m • p) = toIocDiv hp a b + m :=
toIocDiv_eq_of_sub_zsmul_mem_Ioc hp <| by
simpa only [add_smul, add_sub_add_right_eq_sub] using sub_toIocDiv_zsmul_mem_Ioc hp a b
@[simp]
theorem toIocDiv_add_zsmul' (a b : α) (m : ℤ) :
toIocDiv hp (a + m • p) b = toIocDiv hp a b - m := by
refine toIocDiv_eq_of_sub_zsmul_mem_Ioc _ ?_
rw [sub_smul, ← sub_add, add_right_comm]
simpa using sub_toIocDiv_zsmul_mem_Ioc hp a b
@[simp]
theorem toIcoDiv_zsmul_add (a b : α) (m : ℤ) : toIcoDiv hp a (m • p + b) = m + toIcoDiv hp a b := by
rw [add_comm, toIcoDiv_add_zsmul, add_comm]
/-! Note we omit `toIcoDiv_zsmul_add'` as `-m + toIcoDiv hp a b` is not very convenient. -/
@[simp]
theorem toIocDiv_zsmul_add (a b : α) (m : ℤ) : toIocDiv hp a (m • p + b) = m + toIocDiv hp a b := by
rw [add_comm, toIocDiv_add_zsmul, add_comm]
/-! Note we omit `toIocDiv_zsmul_add'` as `-m + toIocDiv hp a b` is not very convenient. -/
@[simp]
theorem toIcoDiv_sub_zsmul (a b : α) (m : ℤ) : toIcoDiv hp a (b - m • p) = toIcoDiv hp a b - m := by
rw [sub_eq_add_neg, ← neg_smul, toIcoDiv_add_zsmul, sub_eq_add_neg]
@[simp]
theorem toIcoDiv_sub_zsmul' (a b : α) (m : ℤ) :
toIcoDiv hp (a - m • p) b = toIcoDiv hp a b + m := by
rw [sub_eq_add_neg, ← neg_smul, toIcoDiv_add_zsmul', sub_neg_eq_add]
@[simp]
theorem toIocDiv_sub_zsmul (a b : α) (m : ℤ) : toIocDiv hp a (b - m • p) = toIocDiv hp a b - m := by
rw [sub_eq_add_neg, ← neg_smul, toIocDiv_add_zsmul, sub_eq_add_neg]
@[simp]
theorem toIocDiv_sub_zsmul' (a b : α) (m : ℤ) :
toIocDiv hp (a - m • p) b = toIocDiv hp a b + m := by
rw [sub_eq_add_neg, ← neg_smul, toIocDiv_add_zsmul', sub_neg_eq_add]
@[simp]
theorem toIcoDiv_add_right (a b : α) : toIcoDiv hp a (b + p) = toIcoDiv hp a b + 1 := by
simpa only [one_zsmul] using toIcoDiv_add_zsmul hp a b 1
@[simp]
theorem toIcoDiv_add_right' (a b : α) : toIcoDiv hp (a + p) b = toIcoDiv hp a b - 1 := by
simpa only [one_zsmul] using toIcoDiv_add_zsmul' hp a b 1
@[simp]
theorem toIocDiv_add_right (a b : α) : toIocDiv hp a (b + p) = toIocDiv hp a b + 1 := by
simpa only [one_zsmul] using toIocDiv_add_zsmul hp a b 1
@[simp]
theorem toIocDiv_add_right' (a b : α) : toIocDiv hp (a + p) b = toIocDiv hp a b - 1 := by
simpa only [one_zsmul] using toIocDiv_add_zsmul' hp a b 1
@[simp]
theorem toIcoDiv_add_left (a b : α) : toIcoDiv hp a (p + b) = toIcoDiv hp a b + 1 := by
rw [add_comm, toIcoDiv_add_right]
@[simp]
theorem toIcoDiv_add_left' (a b : α) : toIcoDiv hp (p + a) b = toIcoDiv hp a b - 1 := by
rw [add_comm, toIcoDiv_add_right']
@[simp]
theorem toIocDiv_add_left (a b : α) : toIocDiv hp a (p + b) = toIocDiv hp a b + 1 := by
rw [add_comm, toIocDiv_add_right]
@[simp]
theorem toIocDiv_add_left' (a b : α) : toIocDiv hp (p + a) b = toIocDiv hp a b - 1 := by
rw [add_comm, toIocDiv_add_right']
@[simp]
theorem toIcoDiv_sub (a b : α) : toIcoDiv hp a (b - p) = toIcoDiv hp a b - 1 := by
simpa only [one_zsmul] using toIcoDiv_sub_zsmul hp a b 1
@[simp]
theorem toIcoDiv_sub' (a b : α) : toIcoDiv hp (a - p) b = toIcoDiv hp a b + 1 := by
simpa only [one_zsmul] using toIcoDiv_sub_zsmul' hp a b 1
@[simp]
theorem toIocDiv_sub (a b : α) : toIocDiv hp a (b - p) = toIocDiv hp a b - 1 := by
simpa only [one_zsmul] using toIocDiv_sub_zsmul hp a b 1
@[simp]
theorem toIocDiv_sub' (a b : α) : toIocDiv hp (a - p) b = toIocDiv hp a b + 1 := by
simpa only [one_zsmul] using toIocDiv_sub_zsmul' hp a b 1
theorem toIcoDiv_sub_eq_toIcoDiv_add (a b c : α) :
toIcoDiv hp a (b - c) = toIcoDiv hp (a + c) b := by
apply toIcoDiv_eq_of_sub_zsmul_mem_Ico
rw [← sub_right_comm, Set.sub_mem_Ico_iff_left, add_right_comm]
exact sub_toIcoDiv_zsmul_mem_Ico hp (a + c) b
theorem toIocDiv_sub_eq_toIocDiv_add (a b c : α) :
toIocDiv hp a (b - c) = toIocDiv hp (a + c) b := by
apply toIocDiv_eq_of_sub_zsmul_mem_Ioc
rw [← sub_right_comm, Set.sub_mem_Ioc_iff_left, add_right_comm]
exact sub_toIocDiv_zsmul_mem_Ioc hp (a + c) b
theorem toIcoDiv_sub_eq_toIcoDiv_add' (a b c : α) :
toIcoDiv hp (a - c) b = toIcoDiv hp a (b + c) := by
rw [← sub_neg_eq_add, toIcoDiv_sub_eq_toIcoDiv_add, sub_eq_add_neg]
theorem toIocDiv_sub_eq_toIocDiv_add' (a b c : α) :
toIocDiv hp (a - c) b = toIocDiv hp a (b + c) := by
rw [← sub_neg_eq_add, toIocDiv_sub_eq_toIocDiv_add, sub_eq_add_neg]
theorem toIcoDiv_neg (a b : α) : toIcoDiv hp a (-b) = -(toIocDiv hp (-a) b + 1) := by
suffices toIcoDiv hp a (-b) = -toIocDiv hp (-(a + p)) b by
rwa [neg_add, ← sub_eq_add_neg, toIocDiv_sub_eq_toIocDiv_add', toIocDiv_add_right] at this
rw [← neg_eq_iff_eq_neg, eq_comm]
apply toIocDiv_eq_of_sub_zsmul_mem_Ioc
obtain ⟨hc, ho⟩ := sub_toIcoDiv_zsmul_mem_Ico hp a (-b)
rw [← neg_lt_neg_iff, neg_sub' (-b), neg_neg, ← neg_smul] at ho
rw [← neg_le_neg_iff, neg_sub' (-b), neg_neg, ← neg_smul] at hc
refine ⟨ho, hc.trans_eq ?_⟩
rw [neg_add, neg_add_cancel_right]
theorem toIcoDiv_neg' (a b : α) : toIcoDiv hp (-a) b = -(toIocDiv hp a (-b) + 1) := by
simpa only [neg_neg] using toIcoDiv_neg hp (-a) (-b)
theorem toIocDiv_neg (a b : α) : toIocDiv hp a (-b) = -(toIcoDiv hp (-a) b + 1) := by
rw [← neg_neg b, toIcoDiv_neg, neg_neg, neg_neg, neg_add', neg_neg, add_sub_cancel_right]
theorem toIocDiv_neg' (a b : α) : toIocDiv hp (-a) b = -(toIcoDiv hp a (-b) + 1) := by
simpa only [neg_neg] using toIocDiv_neg hp (-a) (-b)
@[simp]
theorem toIcoMod_add_zsmul (a b : α) (m : ℤ) : toIcoMod hp a (b + m • p) = toIcoMod hp a b := by
rw [toIcoMod, toIcoDiv_add_zsmul, toIcoMod, add_smul]
abel
@[simp]
theorem toIcoMod_add_zsmul' (a b : α) (m : ℤ) :
toIcoMod hp (a + m • p) b = toIcoMod hp a b + m • p := by
simp only [toIcoMod, toIcoDiv_add_zsmul', sub_smul, sub_add]
@[simp]
theorem toIocMod_add_zsmul (a b : α) (m : ℤ) : toIocMod hp a (b + m • p) = toIocMod hp a b := by
rw [toIocMod, toIocDiv_add_zsmul, toIocMod, add_smul]
abel
@[simp]
theorem toIocMod_add_zsmul' (a b : α) (m : ℤ) :
toIocMod hp (a + m • p) b = toIocMod hp a b + m • p := by
simp only [toIocMod, toIocDiv_add_zsmul', sub_smul, sub_add]
@[simp]
theorem toIcoMod_zsmul_add (a b : α) (m : ℤ) : toIcoMod hp a (m • p + b) = toIcoMod hp a b := by
rw [add_comm, toIcoMod_add_zsmul]
@[simp]
theorem toIcoMod_zsmul_add' (a b : α) (m : ℤ) :
toIcoMod hp (m • p + a) b = m • p + toIcoMod hp a b := by
rw [add_comm, toIcoMod_add_zsmul', add_comm]
@[simp]
theorem toIocMod_zsmul_add (a b : α) (m : ℤ) : toIocMod hp a (m • p + b) = toIocMod hp a b := by
rw [add_comm, toIocMod_add_zsmul]
@[simp]
theorem toIocMod_zsmul_add' (a b : α) (m : ℤ) :
toIocMod hp (m • p + a) b = m • p + toIocMod hp a b := by
rw [add_comm, toIocMod_add_zsmul', add_comm]
@[simp]
theorem toIcoMod_sub_zsmul (a b : α) (m : ℤ) : toIcoMod hp a (b - m • p) = toIcoMod hp a b := by
rw [sub_eq_add_neg, ← neg_smul, toIcoMod_add_zsmul]
@[simp]
theorem toIcoMod_sub_zsmul' (a b : α) (m : ℤ) :
toIcoMod hp (a - m • p) b = toIcoMod hp a b - m • p := by
simp_rw [sub_eq_add_neg, ← neg_smul, toIcoMod_add_zsmul']
@[simp]
theorem toIocMod_sub_zsmul (a b : α) (m : ℤ) : toIocMod hp a (b - m • p) = toIocMod hp a b := by
rw [sub_eq_add_neg, ← neg_smul, toIocMod_add_zsmul]
@[simp]
theorem toIocMod_sub_zsmul' (a b : α) (m : ℤ) :
toIocMod hp (a - m • p) b = toIocMod hp a b - m • p := by
simp_rw [sub_eq_add_neg, ← neg_smul, toIocMod_add_zsmul']
@[simp]
theorem toIcoMod_add_right (a b : α) : toIcoMod hp a (b + p) = toIcoMod hp a b := by
simpa only [one_zsmul] using toIcoMod_add_zsmul hp a b 1
@[simp]
theorem toIcoMod_add_right' (a b : α) : toIcoMod hp (a + p) b = toIcoMod hp a b + p := by
simpa only [one_zsmul] using toIcoMod_add_zsmul' hp a b 1
@[simp]
theorem toIocMod_add_right (a b : α) : toIocMod hp a (b + p) = toIocMod hp a b := by
simpa only [one_zsmul] using toIocMod_add_zsmul hp a b 1
@[simp]
theorem toIocMod_add_right' (a b : α) : toIocMod hp (a + p) b = toIocMod hp a b + p := by
simpa only [one_zsmul] using toIocMod_add_zsmul' hp a b 1
@[simp]
theorem toIcoMod_add_left (a b : α) : toIcoMod hp a (p + b) = toIcoMod hp a b := by
rw [add_comm, toIcoMod_add_right]
@[simp]
theorem toIcoMod_add_left' (a b : α) : toIcoMod hp (p + a) b = p + toIcoMod hp a b := by
rw [add_comm, toIcoMod_add_right', add_comm]
@[simp]
theorem toIocMod_add_left (a b : α) : toIocMod hp a (p + b) = toIocMod hp a b := by
rw [add_comm, toIocMod_add_right]
@[simp]
theorem toIocMod_add_left' (a b : α) : toIocMod hp (p + a) b = p + toIocMod hp a b := by
rw [add_comm, toIocMod_add_right', add_comm]
|
@[simp]
theorem toIcoMod_sub (a b : α) : toIcoMod hp a (b - p) = toIcoMod hp a b := by
| Mathlib/Algebra/Order/ToIntervalMod.lean | 425 | 427 |
/-
Copyright (c) 2023 Michael Stoll. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Michael Stoll, Ralf Stephan
-/
import Mathlib.Data.Nat.Factorization.Defs
import Mathlib.Data.Nat.Squarefree
/-!
# Smooth numbers
For `s : Finset ℕ` we define the set `Nat.factoredNumbers s` of "`s`-factored numbers"
consisting of the positive natural numbers all of whose prime factors are in `s`, and
we provide some API for this.
We then define the set `Nat.smoothNumbers n` consisting of the positive natural numbers all of
whose prime factors are strictly less than `n`. This is the special case `s = Finset.range n`
of the set of `s`-factored numbers.
We also define the finite set `Nat.primesBelow n` to be the set of prime numbers less than `n`.
The main definition `Nat.equivProdNatSmoothNumbers` establishes the bijection between
`ℕ × (smoothNumbers p)` and `smoothNumbers (p+1)` given by sending `(e, n)` to `p^e * n`.
Here `p` is a prime number. It is obtained from the more general bijection between
`ℕ × (factoredNumbers s)` and `factoredNumbers (s ∪ {p})`; see `Nat.equivProdNatFactoredNumbers`.
Additionally, we define `Nat.smoothNumbersUpTo N n` as the `Finset` of `n`-smooth numbers
up to and including `N`, and similarly `Nat.roughNumbersUpTo` for its complement in `{1, ..., N}`,
and we provide some API, in particular bounds for their cardinalities; see
`Nat.smoothNumbersUpTo_card_le` and `Nat.roughNumbersUpTo_card_le`.
-/
open scoped Finset
namespace Nat
/-- `primesBelow n` is the set of primes less than `n` as a `Finset`. -/
def primesBelow (n : ℕ) : Finset ℕ := {p ∈ Finset.range n | p.Prime}
@[simp]
lemma primesBelow_zero : primesBelow 0 = ∅ := by
rw [primesBelow, Finset.range_zero, Finset.filter_empty]
lemma mem_primesBelow {k n : ℕ} :
n ∈ primesBelow k ↔ n < k ∧ n.Prime := by simp [primesBelow]
lemma prime_of_mem_primesBelow {p n : ℕ} (h : p ∈ n.primesBelow) : p.Prime :=
(Finset.mem_filter.mp h).2
lemma lt_of_mem_primesBelow {p n : ℕ} (h : p ∈ n.primesBelow) : p < n :=
Finset.mem_range.mp <| Finset.mem_of_mem_filter p h
lemma primesBelow_succ (n : ℕ) :
primesBelow (n + 1) = if n.Prime then insert n (primesBelow n) else primesBelow n := by
rw [primesBelow, primesBelow, Finset.range_succ, Finset.filter_insert]
lemma not_mem_primesBelow (n : ℕ) : n ∉ primesBelow n :=
fun hn ↦ (lt_of_mem_primesBelow hn).false
/-!
### `s`-factored numbers
-/
/-- `factoredNumbers s`, for a finite set `s` of natural numbers, is the set of positive natural
numbers all of whose prime factors are in `s`. -/
def factoredNumbers (s : Finset ℕ) : Set ℕ := {m | m ≠ 0 ∧ ∀ p ∈ primeFactorsList m, p ∈ s}
lemma mem_factoredNumbers {s : Finset ℕ} {m : ℕ} :
m ∈ factoredNumbers s ↔ m ≠ 0 ∧ ∀ p ∈ primeFactorsList m, p ∈ s :=
Iff.rfl
/-- Membership in `Nat.factoredNumbers n` is decidable. -/
instance (s : Finset ℕ) : DecidablePred (· ∈ factoredNumbers s) :=
inferInstanceAs <| DecidablePred fun x ↦ x ∈ {m | m ≠ 0 ∧ ∀ p ∈ primeFactorsList m, p ∈ s}
/-- A number that divides an `s`-factored number is itself `s`-factored. -/
lemma mem_factoredNumbers_of_dvd {s : Finset ℕ} {m k : ℕ} (h : m ∈ factoredNumbers s)
(h' : k ∣ m) :
k ∈ factoredNumbers s := by
obtain ⟨h₁, h₂⟩ := h
have hk := ne_zero_of_dvd_ne_zero h₁ h'
refine ⟨hk, fun p hp ↦ h₂ p ?_⟩
rw [mem_primeFactorsList <| by assumption] at hp ⊢
exact ⟨hp.1, hp.2.trans h'⟩
/-- `m` is `s`-factored if and only if `m` is nonzero and all prime divisors `≤ m` of `m`
are in `s`. -/
lemma mem_factoredNumbers_iff_forall_le {s : Finset ℕ} {m : ℕ} :
m ∈ factoredNumbers s ↔ m ≠ 0 ∧ ∀ p ≤ m, p.Prime → p ∣ m → p ∈ s := by
simp_rw [mem_factoredNumbers, mem_primeFactorsList']
exact ⟨fun ⟨H₀, H₁⟩ ↦ ⟨H₀, fun p _ hp₂ hp₃ ↦ H₁ p ⟨hp₂, hp₃, H₀⟩⟩,
fun ⟨H₀, H₁⟩ ↦
⟨H₀, fun p ⟨hp₁, hp₂, hp₃⟩ ↦ H₁ p (le_of_dvd (Nat.pos_of_ne_zero hp₃) hp₂) hp₁ hp₂⟩⟩
/-- `m` is `s`-factored if and only if all prime divisors of `m` are in `s`. -/
lemma mem_factoredNumbers' {s : Finset ℕ} {m : ℕ} :
m ∈ factoredNumbers s ↔ ∀ p, p.Prime → p ∣ m → p ∈ s := by
obtain ⟨p, hp₁, hp₂⟩ := exists_infinite_primes (1 + Finset.sup s id)
rw [mem_factoredNumbers_iff_forall_le]
refine ⟨fun ⟨H₀, H₁⟩ ↦ fun p hp₁ hp₂ ↦ H₁ p (le_of_dvd (Nat.pos_of_ne_zero H₀) hp₂) hp₁ hp₂,
fun H ↦ ⟨fun h ↦ lt_irrefl p ?_, fun p _ ↦ H p⟩⟩
calc
p ≤ s.sup id := Finset.le_sup (f := @id ℕ) <| H p hp₂ <| h.symm ▸ dvd_zero p
_ < 1 + s.sup id := lt_one_add _
_ ≤ p := hp₁
lemma ne_zero_of_mem_factoredNumbers {s : Finset ℕ} {m : ℕ} (h : m ∈ factoredNumbers s) : m ≠ 0 :=
h.1
/-- The `Finset` of prime factors of an `s`-factored number is contained in `s`. -/
lemma primeFactors_subset_of_mem_factoredNumbers {s : Finset ℕ} {m : ℕ}
(hm : m ∈ factoredNumbers s) :
m.primeFactors ⊆ s := by
rw [mem_factoredNumbers] at hm
exact fun n hn ↦ hm.2 n (mem_primeFactors_iff_mem_primeFactorsList.mp hn)
/-- If `m ≠ 0` and the `Finset` of prime factors of `m` is contained in `s`, then `m`
is `s`-factored. -/
lemma mem_factoredNumbers_of_primeFactors_subset {s : Finset ℕ} {m : ℕ} (hm : m ≠ 0)
(hp : m.primeFactors ⊆ s) :
m ∈ factoredNumbers s := by
rw [mem_factoredNumbers]
exact ⟨hm, fun p hp' ↦ hp <| mem_primeFactors_iff_mem_primeFactorsList.mpr hp'⟩
/-- `m` is `s`-factored if and only if `m ≠ 0` and its `Finset` of prime factors
is contained in `s`. -/
lemma mem_factoredNumbers_iff_primeFactors_subset {s : Finset ℕ} {m : ℕ} :
m ∈ factoredNumbers s ↔ m ≠ 0 ∧ m.primeFactors ⊆ s :=
⟨fun h ↦ ⟨ne_zero_of_mem_factoredNumbers h, primeFactors_subset_of_mem_factoredNumbers h⟩,
fun ⟨h₁, h₂⟩ ↦ mem_factoredNumbers_of_primeFactors_subset h₁ h₂⟩
@[simp]
lemma factoredNumbers_empty : factoredNumbers ∅ = {1} := by
ext m
simp only [mem_factoredNumbers, Finset.not_mem_empty, ← List.eq_nil_iff_forall_not_mem,
primeFactorsList_eq_nil, and_or_left, not_and_self_iff, ne_and_eq_iff_right zero_ne_one,
false_or, Set.mem_singleton_iff]
/-- The product of two `s`-factored numbers is again `s`-factored. -/
lemma mul_mem_factoredNumbers {s : Finset ℕ} {m n : ℕ} (hm : m ∈ factoredNumbers s)
(hn : n ∈ factoredNumbers s) :
m * n ∈ factoredNumbers s := by
have hm' := primeFactors_subset_of_mem_factoredNumbers hm
have hn' := primeFactors_subset_of_mem_factoredNumbers hn
exact mem_factoredNumbers_of_primeFactors_subset (mul_ne_zero hm.1 hn.1)
<| primeFactors_mul hm.1 hn.1 ▸ Finset.union_subset hm' hn'
|
/-- The product of the prime factors of `n` that are in `s` is an `s`-factored number. -/
lemma prod_mem_factoredNumbers (s : Finset ℕ) (n : ℕ) :
(n.primeFactorsList.filter (· ∈ s)).prod ∈ factoredNumbers s := by
have h₀ : (n.primeFactorsList.filter (· ∈ s)).prod ≠ 0 :=
List.prod_ne_zero fun h ↦ (pos_of_mem_primeFactorsList (List.mem_of_mem_filter h)).false
refine ⟨h₀, fun p hp ↦ ?_⟩
obtain ⟨H₁, H₂⟩ := (mem_primeFactorsList h₀).mp hp
simpa only [decide_eq_true_eq] using List.of_mem_filter <| mem_list_primes_of_dvd_prod H₁.prime
| Mathlib/NumberTheory/SmoothNumbers.lean | 147 | 155 |
/-
Copyright (c) 2021 Yury Kudryashov. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yury Kudryashov
-/
import Mathlib.Analysis.Analytic.CPolynomial
import Mathlib.Analysis.Analytic.Inverse
import Mathlib.Analysis.Analytic.Within
import Mathlib.Analysis.Calculus.Deriv.Basic
import Mathlib.Analysis.Calculus.ContDiff.FTaylorSeries
import Mathlib.Analysis.Calculus.FDeriv.Add
import Mathlib.Analysis.Calculus.FDeriv.Prod
import Mathlib.Analysis.Normed.Module.Completion
/-!
# Frechet derivatives of analytic functions.
A function expressible as a power series at a point has a Frechet derivative there.
Also the special case in terms of `deriv` when the domain is 1-dimensional.
As an application, we show that continuous multilinear maps are smooth. We also compute their
iterated derivatives, in `ContinuousMultilinearMap.iteratedFDeriv_eq`.
## Main definitions and results
* `AnalyticAt.differentiableAt` : an analytic function at a point is differentiable there.
* `AnalyticOnNhd.fderiv` : in a complete space, if a function is analytic on a
neighborhood of a set `s`, so is its derivative.
* `AnalyticOnNhd.fderiv_of_isOpen` : if a function is analytic on a neighborhood of an
open set `s`, so is its derivative.
* `AnalyticOn.fderivWithin` : if a function is analytic on a set of unique differentiability,
so is its derivative within this set.
* `PartialHomeomorph.analyticAt_symm` : if a partial homeomorphism `f` is analytic at a
point `f.symm a`, with invertible derivative, then its inverse is analytic at `a`.
## Comments on completeness
Some theorems need a complete space, some don't, for the following reason.
(1) If a function is analytic at a point `x`, then it is differentiable there (with derivative given
by the first term in the power series). There is no issue of convergence here.
(2) If a function has a power series on a ball `B (x, r)`, there is no guarantee that the power
series for the derivative will converge at `y ≠ x`, if the space is not complete. So, to deduce
that `f` is differentiable at `y`, one needs completeness in general.
(3) However, if a function `f` has a power series on a ball `B (x, r)`, and is a priori known to be
differentiable at some point `y ≠ x`, then the power series for the derivative of `f` will
automatically converge at `y`, towards the given derivative: this follows from the facts that this
is true in the completion (thanks to the previous point) and that the map to the completion is
an embedding.
(4) Therefore, if one assumes `AnalyticOn 𝕜 f s` where `s` is an open set, then `f` is analytic
therefore differentiable at every point of `s`, by (1), so by (3) the power series for its
derivative converges on whole balls. Therefore, the derivative of `f` is also analytic on `s`. The
same holds if `s` is merely a set with unique differentials.
(5) However, this does not work for `AnalyticOnNhd 𝕜 f s`, as we don't get for free
differentiability at points in a neighborhood of `s`. Therefore, the theorem that deduces
`AnalyticOnNhd 𝕜 (fderiv 𝕜 f) s` from `AnalyticOnNhd 𝕜 f s` requires completeness of the space.
-/
open Filter Asymptotics Set
open scoped ENNReal Topology
universe u v
variable {𝕜 : Type*} [NontriviallyNormedField 𝕜]
variable {E : Type u} [NormedAddCommGroup E] [NormedSpace 𝕜 E]
variable {F : Type v} [NormedAddCommGroup F] [NormedSpace 𝕜 F]
section fderiv
variable {p : FormalMultilinearSeries 𝕜 E F} {r : ℝ≥0∞}
variable {f : E → F} {x : E} {s : Set E}
/-- A function which is analytic within a set is strictly differentiable there. Since we
don't have a predicate `HasStrictFDerivWithinAt`, we spell out what it would mean. -/
theorem HasFPowerSeriesWithinAt.hasStrictFDerivWithinAt (h : HasFPowerSeriesWithinAt f p s x) :
(fun y ↦ f y.1 - f y.2 - (continuousMultilinearCurryFin1 𝕜 E F (p 1)) (y.1 - y.2))
=o[𝓝[insert x s ×ˢ insert x s] (x, x)] fun y ↦ y.1 - y.2 := by
refine h.isBigO_image_sub_norm_mul_norm_sub.trans_isLittleO (IsLittleO.of_norm_right ?_)
refine isLittleO_iff_exists_eq_mul.2 ⟨fun y => ‖y - (x, x)‖, ?_, EventuallyEq.rfl⟩
apply Tendsto.mono_left _ nhdsWithin_le_nhds
refine (continuous_id.sub continuous_const).norm.tendsto' _ _ ?_
rw [_root_.id, sub_self, norm_zero]
theorem HasFPowerSeriesAt.hasStrictFDerivAt (h : HasFPowerSeriesAt f p x) :
HasStrictFDerivAt f (continuousMultilinearCurryFin1 𝕜 E F (p 1)) x := by
simpa only [hasStrictFDerivAt_iff_isLittleO, Set.insert_eq_of_mem, Set.mem_univ,
Set.univ_prod_univ, nhdsWithin_univ]
using (h.hasFPowerSeriesWithinAt (s := Set.univ)).hasStrictFDerivWithinAt
theorem HasFPowerSeriesWithinAt.hasFDerivWithinAt (h : HasFPowerSeriesWithinAt f p s x) :
HasFDerivWithinAt f (continuousMultilinearCurryFin1 𝕜 E F (p 1)) (insert x s) x := by
rw [HasFDerivWithinAt, hasFDerivAtFilter_iff_isLittleO, isLittleO_iff]
intro c hc
have : Tendsto (fun y ↦ (y, x)) (𝓝[insert x s] x) (𝓝[insert x s ×ˢ insert x s] (x, x)) := by
rw [nhdsWithin_prod_eq]
exact Tendsto.prodMk tendsto_id (tendsto_const_nhdsWithin (by simp))
exact this (isLittleO_iff.1 h.hasStrictFDerivWithinAt hc)
theorem HasFPowerSeriesAt.hasFDerivAt (h : HasFPowerSeriesAt f p x) :
HasFDerivAt f (continuousMultilinearCurryFin1 𝕜 E F (p 1)) x :=
h.hasStrictFDerivAt.hasFDerivAt
theorem HasFPowerSeriesWithinAt.differentiableWithinAt (h : HasFPowerSeriesWithinAt f p s x) :
DifferentiableWithinAt 𝕜 f (insert x s) x :=
h.hasFDerivWithinAt.differentiableWithinAt
theorem HasFPowerSeriesAt.differentiableAt (h : HasFPowerSeriesAt f p x) : DifferentiableAt 𝕜 f x :=
h.hasFDerivAt.differentiableAt
theorem AnalyticWithinAt.differentiableWithinAt (h : AnalyticWithinAt 𝕜 f s x) :
DifferentiableWithinAt 𝕜 f (insert x s) x := by
obtain ⟨p, hp⟩ := h
exact hp.differentiableWithinAt
@[fun_prop]
theorem AnalyticAt.differentiableAt : AnalyticAt 𝕜 f x → DifferentiableAt 𝕜 f x
| ⟨_, hp⟩ => hp.differentiableAt
theorem AnalyticAt.differentiableWithinAt (h : AnalyticAt 𝕜 f x) : DifferentiableWithinAt 𝕜 f s x :=
h.differentiableAt.differentiableWithinAt
theorem HasFPowerSeriesWithinAt.fderivWithin_eq
(h : HasFPowerSeriesWithinAt f p s x) (hu : UniqueDiffWithinAt 𝕜 (insert x s) x) :
fderivWithin 𝕜 f (insert x s) x = continuousMultilinearCurryFin1 𝕜 E F (p 1) :=
h.hasFDerivWithinAt.fderivWithin hu
theorem HasFPowerSeriesAt.fderiv_eq (h : HasFPowerSeriesAt f p x) :
fderiv 𝕜 f x = continuousMultilinearCurryFin1 𝕜 E F (p 1) :=
h.hasFDerivAt.fderiv
theorem AnalyticAt.hasStrictFDerivAt (h : AnalyticAt 𝕜 f x) :
HasStrictFDerivAt f (fderiv 𝕜 f x) x := by
rcases h with ⟨p, hp⟩
rw [hp.fderiv_eq]
exact hp.hasStrictFDerivAt
theorem HasFPowerSeriesWithinOnBall.differentiableOn [CompleteSpace F]
(h : HasFPowerSeriesWithinOnBall f p s x r) :
DifferentiableOn 𝕜 f (insert x s ∩ EMetric.ball x r) := by
intro y hy
have Z := (h.analyticWithinAt_of_mem hy).differentiableWithinAt
rcases eq_or_ne y x with rfl | hy
· exact Z.mono inter_subset_left
· apply (Z.mono (subset_insert _ _)).mono_of_mem_nhdsWithin
suffices s ∈ 𝓝[insert x s] y from nhdsWithin_mono _ inter_subset_left this
rw [nhdsWithin_insert_of_ne hy]
exact self_mem_nhdsWithin
theorem HasFPowerSeriesOnBall.differentiableOn [CompleteSpace F]
(h : HasFPowerSeriesOnBall f p x r) : DifferentiableOn 𝕜 f (EMetric.ball x r) := fun _ hy =>
(h.analyticAt_of_mem hy).differentiableWithinAt
theorem AnalyticOn.differentiableOn (h : AnalyticOn 𝕜 f s) : DifferentiableOn 𝕜 f s :=
fun y hy ↦ (h y hy).differentiableWithinAt.mono (by simp)
theorem AnalyticOnNhd.differentiableOn (h : AnalyticOnNhd 𝕜 f s) : DifferentiableOn 𝕜 f s :=
fun y hy ↦ (h y hy).differentiableWithinAt
theorem HasFPowerSeriesWithinOnBall.hasFDerivWithinAt [CompleteSpace F]
(h : HasFPowerSeriesWithinOnBall f p s x r)
{y : E} (hy : (‖y‖₊ : ℝ≥0∞) < r) (h'y : x + y ∈ insert x s) :
HasFDerivWithinAt f (continuousMultilinearCurryFin1 𝕜 E F (p.changeOrigin y 1))
(insert x s) (x + y) := by
rcases eq_or_ne y 0 with rfl | h''y
· convert (h.changeOrigin hy h'y).hasFPowerSeriesWithinAt.hasFDerivWithinAt
simp
· have Z := (h.changeOrigin hy h'y).hasFPowerSeriesWithinAt.hasFDerivWithinAt
apply (Z.mono (subset_insert _ _)).mono_of_mem_nhdsWithin
rw [nhdsWithin_insert_of_ne]
· exact self_mem_nhdsWithin
· simpa using h''y
theorem HasFPowerSeriesOnBall.hasFDerivAt [CompleteSpace F] (h : HasFPowerSeriesOnBall f p x r)
{y : E} (hy : (‖y‖₊ : ℝ≥0∞) < r) :
HasFDerivAt f (continuousMultilinearCurryFin1 𝕜 E F (p.changeOrigin y 1)) (x + y) :=
(h.changeOrigin hy).hasFPowerSeriesAt.hasFDerivAt
theorem HasFPowerSeriesWithinOnBall.fderivWithin_eq [CompleteSpace F]
(h : HasFPowerSeriesWithinOnBall f p s x r)
{y : E} (hy : (‖y‖₊ : ℝ≥0∞) < r) (h'y : x + y ∈ insert x s) (hu : UniqueDiffOn 𝕜 (insert x s)) :
fderivWithin 𝕜 f (insert x s) (x + y) =
continuousMultilinearCurryFin1 𝕜 E F (p.changeOrigin y 1) :=
(h.hasFDerivWithinAt hy h'y).fderivWithin (hu _ h'y)
theorem HasFPowerSeriesOnBall.fderiv_eq [CompleteSpace F] (h : HasFPowerSeriesOnBall f p x r)
{y : E} (hy : (‖y‖₊ : ℝ≥0∞) < r) :
fderiv 𝕜 f (x + y) = continuousMultilinearCurryFin1 𝕜 E F (p.changeOrigin y 1) :=
(h.hasFDerivAt hy).fderiv
/-- If a function has a power series on a ball, then so does its derivative. -/
protected theorem HasFPowerSeriesOnBall.fderiv [CompleteSpace F]
(h : HasFPowerSeriesOnBall f p x r) :
HasFPowerSeriesOnBall (fderiv 𝕜 f) p.derivSeries x r := by
refine .congr (f := fun z ↦ continuousMultilinearCurryFin1 𝕜 E F (p.changeOrigin (z - x) 1)) ?_
fun z hz ↦ ?_
· refine continuousMultilinearCurryFin1 𝕜 E F
|>.toContinuousLinearEquiv.toContinuousLinearMap.comp_hasFPowerSeriesOnBall ?_
simpa using ((p.hasFPowerSeriesOnBall_changeOrigin 1
(h.r_pos.trans_le h.r_le)).mono h.r_pos h.r_le).comp_sub x
dsimp only
rw [← h.fderiv_eq, add_sub_cancel]
simpa only [edist_eq_enorm_sub, EMetric.mem_ball] using hz
/-- If a function has a power series within a set on a ball, then so does its derivative. -/
protected theorem HasFPowerSeriesWithinOnBall.fderivWithin [CompleteSpace F]
(h : HasFPowerSeriesWithinOnBall f p s x r) (hu : UniqueDiffOn 𝕜 (insert x s)) :
HasFPowerSeriesWithinOnBall (fderivWithin 𝕜 f (insert x s)) p.derivSeries s x r := by
refine .congr' (f := fun z ↦ continuousMultilinearCurryFin1 𝕜 E F (p.changeOrigin (z - x) 1)) ?_
(fun z hz ↦ ?_)
· refine continuousMultilinearCurryFin1 𝕜 E F
|>.toContinuousLinearEquiv.toContinuousLinearMap.comp_hasFPowerSeriesWithinOnBall ?_
apply HasFPowerSeriesOnBall.hasFPowerSeriesWithinOnBall
simpa using ((p.hasFPowerSeriesOnBall_changeOrigin 1
(h.r_pos.trans_le h.r_le)).mono h.r_pos h.r_le).comp_sub x
· dsimp only
rw [← h.fderivWithin_eq _ _ hu, add_sub_cancel]
· simpa only [edist_eq_enorm_sub, EMetric.mem_ball] using hz.2
· simpa using hz.1
/-- If a function has a power series within a set on a ball, then so does its derivative. For a
version without completeness, but assuming that the function is analytic on the set `s`, see
`HasFPowerSeriesWithinOnBall.fderivWithin_of_mem_of_analyticOn`. -/
protected theorem HasFPowerSeriesWithinOnBall.fderivWithin_of_mem [CompleteSpace F]
(h : HasFPowerSeriesWithinOnBall f p s x r) (hu : UniqueDiffOn 𝕜 s) (hx : x ∈ s) :
HasFPowerSeriesWithinOnBall (fderivWithin 𝕜 f s) p.derivSeries s x r := by
have : insert x s = s := insert_eq_of_mem hx
rw [← this] at hu
convert h.fderivWithin hu
exact this.symm
/-- If a function is analytic on a set `s`, so is its Fréchet derivative. -/
@[fun_prop]
protected theorem AnalyticAt.fderiv [CompleteSpace F] (h : AnalyticAt 𝕜 f x) :
AnalyticAt 𝕜 (fderiv 𝕜 f) x := by
rcases h with ⟨p, r, hp⟩
exact hp.fderiv.analyticAt
/-- If a function is analytic on a set `s`, so is its Fréchet derivative. See also
`AnalyticOnNhd.fderiv_of_isOpen`, removing the completeness assumption but requiring the set
to be open. -/
protected theorem AnalyticOnNhd.fderiv [CompleteSpace F] (h : AnalyticOnNhd 𝕜 f s) :
AnalyticOnNhd 𝕜 (fderiv 𝕜 f) s :=
fun y hy ↦ AnalyticAt.fderiv (h y hy)
/-- If a function is analytic on a set `s`, so are its successive Fréchet derivative. See also
`AnalyticOnNhd.iteratedFDeriv_of_isOpen`, removing the completeness assumption but requiring the set
to be open. -/
protected theorem AnalyticOnNhd.iteratedFDeriv [CompleteSpace F] (h : AnalyticOnNhd 𝕜 f s) (n : ℕ) :
AnalyticOnNhd 𝕜 (iteratedFDeriv 𝕜 n f) s := by
induction n with
| zero =>
rw [iteratedFDeriv_zero_eq_comp]
exact ((continuousMultilinearCurryFin0 𝕜 E F).symm : F →L[𝕜] E[×0]→L[𝕜] F).comp_analyticOnNhd h
| succ n IH =>
rw [iteratedFDeriv_succ_eq_comp_left]
-- Porting note: for reasons that I do not understand at all, `?g` cannot be inlined.
convert ContinuousLinearMap.comp_analyticOnNhd ?g IH.fderiv
case g => exact ↑(continuousMultilinearCurryLeftEquiv 𝕜 (fun _ : Fin (n + 1) ↦ E) F).symm
simp
/-- If a function is analytic on a neighborhood of a set `s`, then it has a Taylor series given
by the sequence of its derivatives. Note that, if the function were just analytic on `s`, then
one would have to use instead the sequence of derivatives inside the set, as in
`AnalyticOn.hasFTaylorSeriesUpToOn`. -/
lemma AnalyticOnNhd.hasFTaylorSeriesUpToOn [CompleteSpace F]
(n : WithTop ℕ∞) (h : AnalyticOnNhd 𝕜 f s) :
HasFTaylorSeriesUpToOn n f (ftaylorSeries 𝕜 f) s := by
refine ⟨fun x _hx ↦ rfl, fun m _hm x hx ↦ ?_, fun m _hm x hx ↦ ?_⟩
· apply HasFDerivAt.hasFDerivWithinAt
exact ((h.iteratedFDeriv m x hx).differentiableAt).hasFDerivAt
· apply (DifferentiableAt.continuousAt (𝕜 := 𝕜) ?_).continuousWithinAt
exact (h.iteratedFDeriv m x hx).differentiableAt
lemma AnalyticWithinAt.exists_hasFTaylorSeriesUpToOn [CompleteSpace F]
(n : WithTop ℕ∞) (h : AnalyticWithinAt 𝕜 f s x) :
∃ u ∈ 𝓝[insert x s] x, ∃ (p : E → FormalMultilinearSeries 𝕜 E F),
HasFTaylorSeriesUpToOn n f p u ∧ ∀ i, AnalyticOn 𝕜 (fun x ↦ p x i) u := by
rcases h.exists_analyticAt with ⟨g, -, fg, hg⟩
rcases hg.exists_mem_nhds_analyticOnNhd with ⟨v, vx, hv⟩
refine ⟨insert x s ∩ v, inter_mem_nhdsWithin _ vx, ftaylorSeries 𝕜 g, ?_, fun i ↦ ?_⟩
· suffices HasFTaylorSeriesUpToOn n g (ftaylorSeries 𝕜 g) (insert x s ∩ v) from
this.congr (fun y hy ↦ fg hy.1)
exact AnalyticOnNhd.hasFTaylorSeriesUpToOn _ (hv.mono Set.inter_subset_right)
· exact (hv.iteratedFDeriv i).analyticOn.mono Set.inter_subset_right
/-- If a function has a power series `p` within a set of unique differentiability, inside a ball,
and is differentiable at a point, then the derivative series of `p` is summable at a point, with
sum the given differential. Note that this theorem does not require completeness of the space. -/
theorem HasFPowerSeriesWithinOnBall.hasSum_derivSeries_of_hasFDerivWithinAt
(h : HasFPowerSeriesWithinOnBall f p s x r)
{f' : E →L[𝕜] F}
{y : E} (hy : (‖y‖₊ : ℝ≥0∞) < r) (h'y : x + y ∈ insert x s)
(hf' : HasFDerivWithinAt f f' (insert x s) (x + y))
(hu : UniqueDiffOn 𝕜 (insert x s)) :
HasSum (fun n ↦ p.derivSeries n (fun _ ↦ y)) f' := by
/- In the completion of the space, the derivative series is summable, and its sum is a derivative
of the function. Therefore, by uniqueness of derivatives, its sum is the image of `f'` under
the canonical embedding. As this is an embedding, it means that there was also convergence in
| the original space, to `f'`. -/
let F' := UniformSpace.Completion F
let a : F →L[𝕜] F' := UniformSpace.Completion.toComplL
let b : (E →L[𝕜] F) →ₗᵢ[𝕜] (E →L[𝕜] F') := UniformSpace.Completion.toComplₗᵢ.postcomp
rw [← b.isEmbedding.hasSum_iff]
| Mathlib/Analysis/Calculus/FDeriv/Analytic.lean | 305 | 309 |
/-
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 Mathlib.MeasureTheory.Measure.Content
import Mathlib.MeasureTheory.Group.Prod
import Mathlib.Topology.Algebra.Group.Compact
/-!
# Haar measure
In this file we prove the existence of Haar measure for a locally compact Hausdorff topological
group.
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` that are needed to cover `K` (`index` in the formalization).
Then we define a function `h` on compact sets as `lim_U (K : U) / (K₀ : U)`,
where `U` becomes a smaller and smaller open neighborhood of `1`, and `K₀` is a fixed compact set
with nonempty interior. This function is `chaar` in the formalization, and we define the limit
formally using Tychonoff's theorem.
This function `h` forms a content, which we can extend to an outer measure and then a measure
(`haarMeasure`).
We normalize the Haar measure so that the measure of `K₀` is `1`.
Note that `μ` need not coincide with `h` on compact sets, according to
[halmos1950measure, ch. X, §53 p.233]. However, we know that `h(K)` lies between `μ(Kᵒ)` and `μ(K)`,
where `ᵒ` denotes the interior.
We also give a form of uniqueness of Haar measure, for σ-finite measures on second-countable
locally compact groups. For more involved statements not assuming second-countability, see
the file `Mathlib/MeasureTheory/Measure/Haar/Unique.lean`.
## Main Declarations
* `haarMeasure`: 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.
* `haarMeasure_self`: the Haar measure is normalized.
* `isMulLeftInvariant_haarMeasure`: the Haar measure is left invariant.
* `regular_haarMeasure`: the Haar measure is a regular measure.
* `isHaarMeasure_haarMeasure`: the Haar measure satisfies the `IsHaarMeasure` typeclass, i.e.,
it is invariant and gives finite mass to compact sets and positive mass to nonempty open sets.
* `haar` : some choice of a Haar measure, on a locally compact Hausdorff group, constructed as
`haarMeasure K` where `K` is some arbitrary choice of a compact set with nonempty interior.
* `haarMeasure_unique`: Every σ-finite left invariant measure on a second-countable locally compact
Hausdorff group is a scalar multiple of the Haar 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 section
open Set Inv Function TopologicalSpace MeasurableSpace
open scoped NNReal ENNReal Pointwise Topology
namespace MeasureTheory
namespace Measure
section Group
variable {G : Type*} [Group G]
/-! 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`. -/
@[to_additive addIndex "additive version of `MeasureTheory.Measure.haar.index`"]
noncomputable def index (K V : Set G) : ℕ :=
sInf <| Finset.card '' { t : Finset G | K ⊆ ⋃ g ∈ t, (fun h => g * h) ⁻¹' V }
@[to_additive addIndex_empty]
theorem index_empty {V : Set G} : index ∅ V = 0 := by simp [index]
variable [TopologicalSpace 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 `haarProduct` (below). -/
@[to_additive "additive version of `MeasureTheory.Measure.haar.prehaar`"]
noncomputable def prehaar (K₀ U : Set G) (K : Compacts G) : ℝ :=
(index (K : Set G) U : ℝ) / index K₀ U
@[to_additive]
theorem prehaar_empty (K₀ : PositiveCompacts G) {U : Set G} : prehaar (K₀ : Set G) U ⊥ = 0 := by
rw [prehaar, Compacts.coe_bot, index_empty, Nat.cast_zero, zero_div]
@[to_additive]
theorem prehaar_nonneg (K₀ : PositiveCompacts G) {U : Set G} (K : Compacts G) :
0 ≤ prehaar (K₀ : Set G) U K := by apply div_nonneg <;> norm_cast <;> apply zero_le
/-- `haarProduct K₀` is the product of intervals `[0, (K : K₀)]`, for all compact sets `K`.
For all `U`, we can show that `prehaar K₀ U ∈ haarProduct K₀`. -/
@[to_additive "additive version of `MeasureTheory.Measure.haar.haarProduct`"]
def haarProduct (K₀ : Set G) : Set (Compacts G → ℝ) :=
pi univ fun K => Icc 0 <| index (K : Set G) K₀
@[to_additive (attr := simp)]
theorem mem_prehaar_empty {K₀ : Set G} {f : Compacts G → ℝ} :
f ∈ haarProduct K₀ ↔ ∀ K : Compacts G, f K ∈ Icc (0 : ℝ) (index (K : Set G) K₀) := by
simp only [haarProduct, Set.pi, forall_prop_of_true, mem_univ, mem_setOf_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. -/
@[to_additive "additive version of `MeasureTheory.Measure.haar.clPrehaar`"]
def clPrehaar (K₀ : Set G) (V : OpenNhdsOf (1 : G)) : Set (Compacts G → ℝ) :=
closure <| prehaar K₀ '' { U : Set G | U ⊆ V.1 ∧ IsOpen U ∧ (1 : G) ∈ U }
variable [IsTopologicalGroup 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. -/
@[to_additive addIndex_defined
"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."]
theorem index_defined {K V : Set G} (hK : IsCompact K) (hV : (interior V).Nonempty) :
∃ n : ℕ, n ∈ Finset.card '' { t : Finset G | K ⊆ ⋃ g ∈ t, (fun h => g * h) ⁻¹' V } := by
rcases compact_covered_by_mul_left_translates hK hV with ⟨t, ht⟩; exact ⟨t.card, t, ht, rfl⟩
@[to_additive addIndex_elim]
theorem index_elim {K V : Set G} (hK : IsCompact K) (hV : (interior V).Nonempty) :
∃ t : Finset G, (K ⊆ ⋃ g ∈ t, (fun h => g * h) ⁻¹' V) ∧ Finset.card t = index K V := by
have := Nat.sInf_mem (index_defined hK hV); rwa [mem_image] at this
@[to_additive le_addIndex_mul]
theorem le_index_mul (K₀ : PositiveCompacts G) (K : Compacts G) {V : Set G}
(hV : (interior V).Nonempty) :
index (K : Set G) V ≤ index (K : Set G) K₀ * index (K₀ : Set G) V := by
classical
obtain ⟨s, h1s, h2s⟩ := index_elim K.isCompact K₀.interior_nonempty
obtain ⟨t, h1t, h2t⟩ := index_elim K₀.isCompact hV
rw [← h2s, ← h2t, mul_comm]
refine le_trans ?_ Finset.card_mul_le
apply Nat.sInf_le; refine ⟨_, ?_, rfl⟩; rw [mem_setOf_eq]; refine Subset.trans h1s ?_
apply iUnion₂_subset; intro g₁ hg₁; rw [preimage_subset_iff]; intro g₂ hg₂
have := h1t hg₂
rcases this with ⟨_, ⟨g₃, rfl⟩, A, ⟨hg₃, rfl⟩, h2V⟩; rw [mem_preimage, ← mul_assoc] at h2V
exact mem_biUnion (Finset.mul_mem_mul hg₃ hg₁) h2V
@[to_additive addIndex_pos]
theorem index_pos (K : PositiveCompacts G) {V : Set G} (hV : (interior V).Nonempty) :
0 < index (K : Set G) V := by
classical
rw [index, Nat.sInf_def, Nat.find_pos, mem_image]
· rintro ⟨t, h1t, h2t⟩; rw [Finset.card_eq_zero] at h2t; subst h2t
obtain ⟨g, hg⟩ := K.interior_nonempty
show g ∈ (∅ : Set G)
convert h1t (interior_subset hg); symm
simp only [Finset.not_mem_empty, iUnion_of_empty, iUnion_empty]
· exact index_defined K.isCompact hV
@[to_additive addIndex_mono]
theorem index_mono {K K' V : Set G} (hK' : IsCompact K') (h : K ⊆ K') (hV : (interior V).Nonempty) :
index K V ≤ index K' V := by
rcases index_elim hK' hV with ⟨s, h1s, h2s⟩
apply Nat.sInf_le; rw [mem_image]; exact ⟨s, Subset.trans h h1s, h2s⟩
@[to_additive addIndex_union_le]
theorem 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 := by
classical
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.sInf_le; refine ⟨_, ?_, rfl⟩; rw [mem_setOf_eq]
apply union_subset <;> refine Subset.trans (by assumption) ?_ <;>
apply biUnion_subset_biUnion_left <;> intro g hg <;> simp only [mem_def] at hg <;>
simp only [mem_def, Multiset.mem_union, Finset.union_val, hg, or_true, true_or]
@[to_additive addIndex_union_eq]
theorem 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 := by
classical
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) (hK : K ⊆ ⋃ g ∈ s, (g * ·) ⁻¹' V) :
index K V ≤ {g ∈ s | ((g * ·) ⁻¹' V ∩ K).Nonempty}.card := by
apply Nat.sInf_le; refine ⟨_, ?_, rfl⟩; rw [mem_setOf_eq]
intro g hg; rcases hK hg with ⟨_, ⟨g₀, rfl⟩, _, ⟨h1g₀, rfl⟩, h2g₀⟩
simp only [mem_preimage] at h2g₀
simp only [mem_iUnion]; use g₀; constructor; swap
· simp only [Finset.mem_filter, h1g₀, true_and]; use g
simp [hg, h2g₀]
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_of_disjoint, Finset.filter_union_right]
· exact s.card_filter_le _
apply Finset.disjoint_filter.mpr
rintro g₁ _ ⟨g₂, h1g₂, h2g₂⟩ ⟨g₃, h1g₃, h2g₃⟩
simp only [mem_preimage] at h1g₃ h1g₂
refine h.le_bot (?_ : g₁⁻¹ ∈ _)
constructor <;> simp only [Set.mem_inv, Set.mem_mul, exists_exists_and_eq_and, exists_and_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]
@[to_additive add_left_addIndex_le]
theorem mul_left_index_le {K : Set G} (hK : IsCompact K) {V : Set G} (hV : (interior V).Nonempty)
(g : G) : index ((fun h => g * h) '' K) V ≤ index K V := by
rcases index_elim hK hV with ⟨s, h1s, h2s⟩; rw [← h2s]
apply Nat.sInf_le; rw [mem_image]
refine ⟨s.map (Equiv.mulRight g⁻¹).toEmbedding, ?_, Finset.card_map _⟩
simp only [mem_setOf_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_iUnion, Finset.mem_map, Equiv.coe_mulRight,
exists_exists_and_eq_and, mem_preimage, Equiv.toEmbedding_apply]
refine ⟨_, hg₂, ?_⟩; simp only [mul_assoc, hg₁, inv_mul_cancel_left]
@[to_additive is_left_invariant_addIndex]
theorem is_left_invariant_index {K : Set G} (hK : IsCompact K) (g : G) {V : Set G}
(hV : (interior V).Nonempty) : index ((fun h => g * h) '' K) V = index K V := by
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]; symm; convert image_id' _ with h; apply inv_mul_cancel_left
/-!
### Lemmas about `prehaar`
-/
@[to_additive add_prehaar_le_addIndex]
theorem prehaar_le_index (K₀ : PositiveCompacts G) {U : Set G} (K : Compacts G)
(hU : (interior U).Nonempty) : prehaar (K₀ : Set G) U K ≤ index (K : Set G) K₀ := by
unfold prehaar; rw [div_le_iff₀] <;> norm_cast
· apply le_index_mul K₀ K hU
· exact index_pos K₀ hU
@[to_additive]
theorem prehaar_pos (K₀ : PositiveCompacts G) {U : Set G} (hU : (interior U).Nonempty) {K : Set G}
(h1K : IsCompact K) (h2K : (interior K).Nonempty) : 0 < prehaar (K₀ : Set G) U ⟨K, h1K⟩ := by
apply div_pos <;> norm_cast
· apply index_pos ⟨⟨K, h1K⟩, h2K⟩ hU
· exact index_pos K₀ hU
@[to_additive]
theorem prehaar_mono {K₀ : PositiveCompacts G} {U : Set G} (hU : (interior U).Nonempty)
{K₁ K₂ : Compacts G} (h : (K₁ : Set G) ⊆ K₂.1) :
prehaar (K₀ : Set G) U K₁ ≤ prehaar (K₀ : Set G) U K₂ := by
simp only [prehaar]; rw [div_le_div_iff_of_pos_right]
· exact mod_cast index_mono K₂.2 h hU
· exact mod_cast index_pos K₀ hU
@[to_additive]
theorem prehaar_self {K₀ : PositiveCompacts G} {U : Set G} (hU : (interior U).Nonempty) :
prehaar (K₀ : Set G) U K₀.toCompacts = 1 :=
div_self <| ne_of_gt <| mod_cast index_pos K₀ hU
@[to_additive]
theorem prehaar_sup_le {K₀ : PositiveCompacts G} {U : Set G} (K₁ K₂ : Compacts G)
(hU : (interior U).Nonempty) :
prehaar (K₀ : Set G) U (K₁ ⊔ K₂) ≤ prehaar (K₀ : Set G) U K₁ + prehaar (K₀ : Set G) U K₂ := by
simp only [prehaar]; rw [div_add_div_same, div_le_div_iff_of_pos_right]
· exact mod_cast index_union_le K₁ K₂ hU
· exact mod_cast index_pos K₀ hU
@[to_additive]
theorem prehaar_sup_eq {K₀ : PositiveCompacts G} {U : Set G} {K₁ K₂ : Compacts G}
(hU : (interior U).Nonempty) (h : Disjoint (K₁.1 * U⁻¹) (K₂.1 * U⁻¹)) :
prehaar (K₀ : Set G) U (K₁ ⊔ K₂) = prehaar (K₀ : Set G) U K₁ + prehaar (K₀ : Set G) U K₂ := by
simp only [prehaar]; rw [div_add_div_same]
-- Porting note: Here was `congr`, but `to_additive` failed to generate a theorem.
refine congr_arg (fun x : ℝ => x / index K₀ U) ?_
exact mod_cast index_union_eq K₁ K₂ hU h
@[to_additive]
theorem is_left_invariant_prehaar {K₀ : PositiveCompacts G} {U : Set G} (hU : (interior U).Nonempty)
(g : G) (K : Compacts G) :
prehaar (K₀ : Set G) U (K.map _ <| continuous_mul_left g) = prehaar (K₀ : Set G) U K := by
simp only [prehaar, Compacts.coe_map, is_left_invariant_index K.isCompact _ hU]
/-!
### Lemmas about `haarProduct`
-/
@[to_additive]
theorem prehaar_mem_haarProduct (K₀ : PositiveCompacts G) {U : Set G} (hU : (interior U).Nonempty) :
prehaar (K₀ : Set G) U ∈ haarProduct (K₀ : Set G) := by
rintro ⟨K, hK⟩ _; rw [mem_Icc]; exact ⟨prehaar_nonneg K₀ _, prehaar_le_index K₀ _ hU⟩
@[to_additive]
theorem nonempty_iInter_clPrehaar (K₀ : PositiveCompacts G) :
(haarProduct (K₀ : Set G) ∩ ⋂ V : OpenNhdsOf (1 : G), clPrehaar K₀ V).Nonempty := by
have : IsCompact (haarProduct (K₀ : Set G)) := by
apply isCompact_univ_pi; intro K; apply isCompact_Icc
refine this.inter_iInter_nonempty (clPrehaar K₀) (fun s => isClosed_closure) fun t => ?_
let V₀ := ⋂ V ∈ t, (V : OpenNhdsOf (1 : G)).carrier
have h1V₀ : IsOpen V₀ := isOpen_biInter_finset <| by rintro ⟨⟨V, hV₁⟩, hV₂⟩ _; exact hV₁
have h2V₀ : (1 : G) ∈ V₀ := by simp only [V₀, mem_iInter]; rintro ⟨⟨V, hV₁⟩, hV₂⟩ _; exact hV₂
refine ⟨prehaar K₀ V₀, ?_⟩
constructor
· apply prehaar_mem_haarProduct K₀; use 1; rwa [h1V₀.interior_eq]
· simp only [mem_iInter]; rintro ⟨V, hV⟩ h2V; apply subset_closure
apply mem_image_of_mem; rw [mem_setOf_eq]
exact ⟨Subset.trans (iInter_subset _ ⟨V, hV⟩) (iInter_subset _ h2V), h1V₀, h2V₀⟩
/-!
### Lemmas about `chaar`
-/
/-- This is the "limit" of `prehaar K₀ U K` as `U` becomes a smaller and smaller open
neighborhood of `(1 : G)`. More precisely, it is defined to be an arbitrary element
in the intersection of all the sets `clPrehaar K₀ V` in `haarProduct K₀`.
This is roughly equal to the Haar measure on compact sets,
but it can differ slightly. We do know that
`haarMeasure K₀ (interior K) ≤ chaar K₀ K ≤ haarMeasure K₀ K`. -/
@[to_additive addCHaar "additive version of `MeasureTheory.Measure.haar.chaar`"]
noncomputable def chaar (K₀ : PositiveCompacts G) (K : Compacts G) : ℝ :=
Classical.choose (nonempty_iInter_clPrehaar K₀) K
@[to_additive addCHaar_mem_addHaarProduct]
theorem chaar_mem_haarProduct (K₀ : PositiveCompacts G) : chaar K₀ ∈ haarProduct (K₀ : Set G) :=
(Classical.choose_spec (nonempty_iInter_clPrehaar K₀)).1
@[to_additive addCHaar_mem_clAddPrehaar]
theorem chaar_mem_clPrehaar (K₀ : PositiveCompacts G) (V : OpenNhdsOf (1 : G)) :
chaar K₀ ∈ clPrehaar (K₀ : Set G) V := by
have := (Classical.choose_spec (nonempty_iInter_clPrehaar K₀)).2; rw [mem_iInter] at this
exact this V
@[to_additive addCHaar_nonneg]
theorem chaar_nonneg (K₀ : PositiveCompacts G) (K : Compacts G) : 0 ≤ chaar K₀ K := by
have := chaar_mem_haarProduct K₀ K (mem_univ _); rw [mem_Icc] at this; exact this.1
@[to_additive addCHaar_empty]
theorem chaar_empty (K₀ : PositiveCompacts G) : chaar K₀ ⊥ = 0 := by
let eval : (Compacts G → ℝ) → ℝ := fun f => f ⊥
have : Continuous eval := continuous_apply ⊥
show chaar K₀ ∈ eval ⁻¹' {(0 : ℝ)}
apply mem_of_subset_of_mem _ (chaar_mem_clPrehaar K₀ ⊤)
unfold clPrehaar; rw [IsClosed.closure_subset_iff]
· rintro _ ⟨U, _, rfl⟩; apply prehaar_empty
· apply continuous_iff_isClosed.mp this; exact isClosed_singleton
@[to_additive addCHaar_self]
theorem chaar_self (K₀ : PositiveCompacts G) : chaar K₀ K₀.toCompacts = 1 := by
let eval : (Compacts G → ℝ) → ℝ := fun f => f K₀.toCompacts
have : Continuous eval := continuous_apply _
show chaar K₀ ∈ eval ⁻¹' {(1 : ℝ)}
apply mem_of_subset_of_mem _ (chaar_mem_clPrehaar K₀ ⊤)
unfold clPrehaar; rw [IsClosed.closure_subset_iff]
· rintro _ ⟨U, ⟨_, h2U, h3U⟩, rfl⟩; apply prehaar_self
rw [h2U.interior_eq]; exact ⟨1, h3U⟩
· apply continuous_iff_isClosed.mp this; exact isClosed_singleton
@[to_additive addCHaar_mono]
theorem chaar_mono {K₀ : PositiveCompacts G} {K₁ K₂ : Compacts G} (h : (K₁ : Set G) ⊆ K₂) :
chaar K₀ K₁ ≤ chaar K₀ K₂ := by
let eval : (Compacts G → ℝ) → ℝ := fun f => f K₂ - f K₁
have : Continuous eval := (continuous_apply K₂).sub (continuous_apply K₁)
rw [← sub_nonneg]; show chaar K₀ ∈ eval ⁻¹' Ici (0 : ℝ)
apply mem_of_subset_of_mem _ (chaar_mem_clPrehaar K₀ ⊤)
unfold clPrehaar; rw [IsClosed.closure_subset_iff]
· rintro _ ⟨U, ⟨_, h2U, h3U⟩, rfl⟩; simp only [eval, mem_preimage, mem_Ici, sub_nonneg]
apply prehaar_mono _ h; rw [h2U.interior_eq]; exact ⟨1, h3U⟩
· apply continuous_iff_isClosed.mp this; exact isClosed_Ici
@[to_additive addCHaar_sup_le]
theorem chaar_sup_le {K₀ : PositiveCompacts G} (K₁ K₂ : Compacts G) :
chaar K₀ (K₁ ⊔ K₂) ≤ chaar K₀ K₁ + chaar K₀ K₂ := by
let eval : (Compacts G → ℝ) → ℝ := fun f => f K₁ + f K₂ - f (K₁ ⊔ K₂)
have : Continuous eval := by
exact ((continuous_apply K₁).add (continuous_apply K₂)).sub (continuous_apply (K₁ ⊔ K₂))
rw [← sub_nonneg]; show chaar K₀ ∈ eval ⁻¹' Ici (0 : ℝ)
apply mem_of_subset_of_mem _ (chaar_mem_clPrehaar K₀ ⊤)
unfold clPrehaar; rw [IsClosed.closure_subset_iff]
· rintro _ ⟨U, ⟨_, h2U, h3U⟩, rfl⟩; simp only [eval, mem_preimage, mem_Ici, sub_nonneg]
apply prehaar_sup_le; rw [h2U.interior_eq]; exact ⟨1, h3U⟩
· apply continuous_iff_isClosed.mp this; exact isClosed_Ici
@[to_additive addCHaar_sup_eq]
theorem chaar_sup_eq {K₀ : PositiveCompacts G}
{K₁ K₂ : Compacts G} (h : Disjoint K₁.1 K₂.1) (h₂ : IsClosed K₂.1) :
chaar K₀ (K₁ ⊔ K₂) = chaar K₀ K₁ + chaar K₀ K₂ := by
rcases SeparatedNhds.of_isCompact_isCompact_isClosed K₁.2 K₂.2 h₂ h
with ⟨U₁, U₂, h1U₁, h1U₂, h2U₁, h2U₂, hU⟩
rcases compact_open_separated_mul_right K₁.2 h1U₁ h2U₁ with ⟨L₁, h1L₁, h2L₁⟩
rcases mem_nhds_iff.mp h1L₁ with ⟨V₁, h1V₁, h2V₁, h3V₁⟩
replace h2L₁ := Subset.trans (mul_subset_mul_left h1V₁) h2L₁
rcases compact_open_separated_mul_right K₂.2 h1U₂ h2U₂ with ⟨L₂, h1L₂, h2L₂⟩
rcases mem_nhds_iff.mp h1L₂ with ⟨V₂, h1V₂, h2V₂, h3V₂⟩
replace h2L₂ := Subset.trans (mul_subset_mul_left h1V₂) h2L₂
let eval : (Compacts G → ℝ) → ℝ := fun f => f K₁ + f K₂ - f (K₁ ⊔ K₂)
have : Continuous eval :=
((continuous_apply K₁).add (continuous_apply K₂)).sub (continuous_apply (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_clPrehaar K₀
⟨⟨V⁻¹, (h2V₁.inter h2V₂).preimage continuous_inv⟩, by
simp only [V, mem_inv, inv_one, h3V₁, h3V₂, mem_inter_iff, true_and]⟩)
unfold clPrehaar; rw [IsClosed.closure_subset_iff]
· rintro _ ⟨U, ⟨h1U, h2U, h3U⟩, rfl⟩
simp only [eval, mem_preimage, 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 ?_) h2L₁
exact Subset.trans (inv_subset.mpr h1U) inter_subset_left
· refine Subset.trans (mul_subset_mul Subset.rfl ?_) h2L₂
exact Subset.trans (inv_subset.mpr h1U) inter_subset_right
· apply continuous_iff_isClosed.mp this; exact isClosed_singleton
@[to_additive is_left_invariant_addCHaar]
theorem is_left_invariant_chaar {K₀ : PositiveCompacts G} (g : G) (K : Compacts G) :
chaar K₀ (K.map _ <| continuous_mul_left g) = chaar K₀ K := by
let eval : (Compacts G → ℝ) → ℝ := fun f => f (K.map _ <| continuous_mul_left g) - f K
have : Continuous eval := (continuous_apply (K.map _ _)).sub (continuous_apply K)
rw [← sub_eq_zero]; show chaar K₀ ∈ eval ⁻¹' {(0 : ℝ)}
apply mem_of_subset_of_mem _ (chaar_mem_clPrehaar K₀ ⊤)
unfold clPrehaar; rw [IsClosed.closure_subset_iff]
· rintro _ ⟨U, ⟨_, h2U, h3U⟩, rfl⟩
simp only [eval, mem_singleton_iff, mem_preimage, sub_eq_zero]
apply is_left_invariant_prehaar; rw [h2U.interior_eq]; exact ⟨1, h3U⟩
· apply continuous_iff_isClosed.mp this; exact isClosed_singleton
/-- The function `chaar` interpreted in `ℝ≥0`, as a content -/
@[to_additive "additive version of `MeasureTheory.Measure.haar.haarContent`"]
noncomputable def haarContent (K₀ : PositiveCompacts G) : Content G where
toFun K := ⟨chaar K₀ K, chaar_nonneg _ _⟩
mono' K₁ K₂ h := by simp only [← NNReal.coe_le_coe, NNReal.toReal, chaar_mono, h]
sup_disjoint' K₁ K₂ h _h₁ h₂ := by simp only [chaar_sup_eq h]; rfl
sup_le' K₁ K₂ := by
simp only [← NNReal.coe_le_coe, NNReal.coe_add]
simp only [NNReal.toReal, chaar_sup_le]
/-! We only prove the properties for `haarContent` that we use at least twice below. -/
@[to_additive]
theorem haarContent_apply (K₀ : PositiveCompacts G) (K : Compacts G) :
haarContent K₀ K = show NNReal from ⟨chaar K₀ K, chaar_nonneg _ _⟩ :=
rfl
/-- The variant of `chaar_self` for `haarContent` -/
@[to_additive "The variant of `addCHaar_self` for `addHaarContent`."]
theorem haarContent_self {K₀ : PositiveCompacts G} : haarContent K₀ K₀.toCompacts = 1 := by
simp_rw [← ENNReal.coe_one, haarContent_apply, ENNReal.coe_inj, chaar_self]; rfl
/-- The variant of `is_left_invariant_chaar` for `haarContent` -/
@[to_additive "The variant of `is_left_invariant_addCHaar` for `addHaarContent`"]
theorem is_left_invariant_haarContent {K₀ : PositiveCompacts G} (g : G) (K : Compacts G) :
haarContent K₀ (K.map _ <| continuous_mul_left g) = haarContent K₀ K := by
simpa only [ENNReal.coe_inj, ← NNReal.coe_inj, haarContent_apply] using
is_left_invariant_chaar g K
@[to_additive]
theorem haarContent_outerMeasure_self_pos (K₀ : PositiveCompacts G) :
0 < (haarContent K₀).outerMeasure K₀ := by
refine zero_lt_one.trans_le ?_
rw [Content.outerMeasure_eq_iInf]
refine le_iInf₂ fun U hU => le_iInf fun hK₀ => le_trans ?_ <| le_iSup₂ K₀.toCompacts hK₀
exact haarContent_self.ge
@[to_additive]
theorem haarContent_outerMeasure_closure_pos (K₀ : PositiveCompacts G) :
0 < (haarContent K₀).outerMeasure (closure K₀) :=
(haarContent_outerMeasure_self_pos K₀).trans_le (OuterMeasure.mono _ subset_closure)
end haar
open haar
/-!
### The Haar measure
-/
variable [TopologicalSpace G] [IsTopologicalGroup G] [MeasurableSpace G] [BorelSpace G]
/-- The Haar measure on the locally compact group `G`, scaled so that `haarMeasure K₀ K₀ = 1`. -/
@[to_additive
"The Haar measure on the locally compact additive group `G`, scaled so that
`addHaarMeasure K₀ K₀ = 1`."]
noncomputable def haarMeasure (K₀ : PositiveCompacts G) : Measure G :=
((haarContent K₀).measure K₀)⁻¹ • (haarContent K₀).measure
@[to_additive]
theorem haarMeasure_apply {K₀ : PositiveCompacts G} {s : Set G} (hs : MeasurableSet s) :
haarMeasure K₀ s = (haarContent K₀).outerMeasure s / (haarContent K₀).measure K₀ := by
change ((haarContent K₀).measure K₀)⁻¹ * (haarContent K₀).measure s = _
simp only [hs, div_eq_mul_inv, mul_comm, Content.measure_apply]
@[to_additive]
instance isMulLeftInvariant_haarMeasure (K₀ : PositiveCompacts G) :
IsMulLeftInvariant (haarMeasure K₀) := by
| rw [← forall_measure_preimage_mul_iff]
intro g A hA
rw [haarMeasure_apply hA, haarMeasure_apply (measurable_const_mul g hA)]
-- Porting note: Here was `congr 1`, but `to_additive` failed to generate a theorem.
refine congr_arg (fun x : ℝ≥0∞ => x / (haarContent K₀).measure K₀) ?_
apply Content.is_mul_left_invariant_outerMeasure
apply is_left_invariant_haarContent
@[to_additive]
theorem haarMeasure_self {K₀ : PositiveCompacts G} : haarMeasure K₀ K₀ = 1 := by
haveI : LocallyCompactSpace G := K₀.locallyCompactSpace_of_group
| Mathlib/MeasureTheory/Measure/Haar/Basic.lean | 526 | 536 |
/-
Copyright (c) 2022 Sébastien Gouëzel. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Sébastien Gouëzel
-/
import Mathlib.Analysis.Calculus.FDeriv.Add
import Mathlib.Analysis.Calculus.FDeriv.Equiv
import Mathlib.Analysis.Calculus.FDeriv.Prod
import Mathlib.Analysis.Calculus.Monotone
import Mathlib.Topology.EMetricSpace.BoundedVariation
/-!
# Almost everywhere differentiability of functions with locally bounded variation
In this file we show that a bounded variation function is differentiable almost everywhere.
This implies that Lipschitz functions from the real line into finite-dimensional vector space
are also differentiable almost everywhere.
## Main definitions and results
* `LocallyBoundedVariationOn.ae_differentiableWithinAt` shows that a bounded variation
function into a finite dimensional real vector space is differentiable almost everywhere.
* `LipschitzOnWith.ae_differentiableWithinAt` is the same result for Lipschitz functions.
We also give several variations around these results.
-/
open scoped NNReal ENNReal Topology
open Set MeasureTheory Filter
variable {α : Type*} [LinearOrder α] {E : Type*} [PseudoEMetricSpace E]
/-! ## -/
variable {V : Type*} [NormedAddCommGroup V] [NormedSpace ℝ V] [FiniteDimensional ℝ V]
namespace LocallyBoundedVariationOn
/-- A bounded variation function into `ℝ` is differentiable almost everywhere. Superseded by
`ae_differentiableWithinAt_of_mem`. -/
theorem ae_differentiableWithinAt_of_mem_real {f : ℝ → ℝ} {s : Set ℝ}
(h : LocallyBoundedVariationOn f s) : ∀ᵐ x, x ∈ s → DifferentiableWithinAt ℝ f s x := by
obtain ⟨p, q, hp, hq, rfl⟩ : ∃ p q, MonotoneOn p s ∧ MonotoneOn q s ∧ f = p - q :=
h.exists_monotoneOn_sub_monotoneOn
filter_upwards [hp.ae_differentiableWithinAt_of_mem, hq.ae_differentiableWithinAt_of_mem] with
x hxp hxq xs
exact (hxp xs).sub (hxq xs)
/-- A bounded variation function into a finite dimensional product vector space is differentiable
almost everywhere. Superseded by `ae_differentiableWithinAt_of_mem`. -/
theorem ae_differentiableWithinAt_of_mem_pi {ι : Type*} [Fintype ι] {f : ℝ → ι → ℝ} {s : Set ℝ}
(h : LocallyBoundedVariationOn f s) : ∀ᵐ x, x ∈ s → DifferentiableWithinAt ℝ f s x := by
have A : ∀ i : ι, LipschitzWith 1 fun x : ι → ℝ => x i := fun i => LipschitzWith.eval i
have : ∀ i : ι, ∀ᵐ x, x ∈ s → DifferentiableWithinAt ℝ (fun x : ℝ => f x i) s x := fun i ↦ by
apply ae_differentiableWithinAt_of_mem_real
exact LipschitzWith.comp_locallyBoundedVariationOn (A i) h
filter_upwards [ae_all_iff.2 this] with x hx xs
exact differentiableWithinAt_pi.2 fun i => hx i xs
/-- A real function into a finite dimensional real vector space with bounded variation on a set
is differentiable almost everywhere in this set. -/
theorem ae_differentiableWithinAt_of_mem {f : ℝ → V} {s : Set ℝ}
(h : LocallyBoundedVariationOn f s) : ∀ᵐ x, x ∈ s → DifferentiableWithinAt ℝ f s x := by
let A := (Basis.ofVectorSpace ℝ V).equivFun.toContinuousLinearEquiv
suffices H : ∀ᵐ x, x ∈ s → DifferentiableWithinAt ℝ (A ∘ f) s x by
filter_upwards [H] with x hx xs
have : f = (A.symm ∘ A) ∘ f := by
simp only [ContinuousLinearEquiv.symm_comp_self, Function.id_comp]
rw [this]
exact A.symm.differentiableAt.comp_differentiableWithinAt x (hx xs)
apply ae_differentiableWithinAt_of_mem_pi
exact A.lipschitz.comp_locallyBoundedVariationOn h
/-- A real function into a finite dimensional real vector space with bounded variation on a set
is differentiable almost everywhere in this set. -/
theorem ae_differentiableWithinAt {f : ℝ → V} {s : Set ℝ} (h : LocallyBoundedVariationOn f s)
(hs : MeasurableSet s) : ∀ᵐ x ∂volume.restrict s, DifferentiableWithinAt ℝ f s x := by
rw [ae_restrict_iff' hs]
exact h.ae_differentiableWithinAt_of_mem
/-- A real function into a finite dimensional real vector space with bounded variation
is differentiable almost everywhere. -/
theorem ae_differentiableAt {f : ℝ → V} (h : LocallyBoundedVariationOn f univ) :
∀ᵐ x, DifferentiableAt ℝ f x := by
filter_upwards [h.ae_differentiableWithinAt_of_mem] with x hx
rw [differentiableWithinAt_univ] at hx
exact hx (mem_univ _)
end LocallyBoundedVariationOn
/-- A real function into a finite dimensional real vector space which is Lipschitz on a set
is differentiable almost everywhere in this set. For the general Rademacher theorem assuming
that the source space is finite dimensional, see `LipschitzOnWith.ae_differentiableWithinAt_of_mem`.
-/
theorem LipschitzOnWith.ae_differentiableWithinAt_of_mem_real {C : ℝ≥0} {f : ℝ → V} {s : Set ℝ}
(h : LipschitzOnWith C f s) : ∀ᵐ x, x ∈ s → DifferentiableWithinAt ℝ f s x :=
h.locallyBoundedVariationOn.ae_differentiableWithinAt_of_mem
/-- A real function into a finite dimensional real vector space which is Lipschitz on a set
is differentiable almost everywhere in this set. For the general Rademacher theorem assuming
that the source space is finite dimensional, see `LipschitzOnWith.ae_differentiableWithinAt`. -/
theorem LipschitzOnWith.ae_differentiableWithinAt_real {C : ℝ≥0} {f : ℝ → V} {s : Set ℝ}
(h : LipschitzOnWith C f s) (hs : MeasurableSet s) :
∀ᵐ x ∂volume.restrict s, DifferentiableWithinAt ℝ f s x :=
h.locallyBoundedVariationOn.ae_differentiableWithinAt hs
/-- A real Lipschitz function into a finite dimensional real vector space is differentiable
almost everywhere. For the general Rademacher theorem assuming
that the source space is finite dimensional, see `LipschitzWith.ae_differentiableAt`. -/
theorem LipschitzWith.ae_differentiableAt_real {C : ℝ≥0} {f : ℝ → V} (h : LipschitzWith C f) :
∀ᵐ x, DifferentiableAt ℝ f x :=
(h.locallyBoundedVariationOn univ).ae_differentiableAt
| Mathlib/Analysis/BoundedVariation.lean | 462 | 498 | |
/-
Copyright (c) 2021 Yury Kudryashov. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yury Kudryashov
-/
import Mathlib.Analysis.Analytic.CPolynomial
import Mathlib.Analysis.Analytic.Inverse
import Mathlib.Analysis.Analytic.Within
import Mathlib.Analysis.Calculus.Deriv.Basic
import Mathlib.Analysis.Calculus.ContDiff.FTaylorSeries
import Mathlib.Analysis.Calculus.FDeriv.Add
import Mathlib.Analysis.Calculus.FDeriv.Prod
import Mathlib.Analysis.Normed.Module.Completion
/-!
# Frechet derivatives of analytic functions.
A function expressible as a power series at a point has a Frechet derivative there.
Also the special case in terms of `deriv` when the domain is 1-dimensional.
As an application, we show that continuous multilinear maps are smooth. We also compute their
iterated derivatives, in `ContinuousMultilinearMap.iteratedFDeriv_eq`.
## Main definitions and results
* `AnalyticAt.differentiableAt` : an analytic function at a point is differentiable there.
* `AnalyticOnNhd.fderiv` : in a complete space, if a function is analytic on a
neighborhood of a set `s`, so is its derivative.
* `AnalyticOnNhd.fderiv_of_isOpen` : if a function is analytic on a neighborhood of an
open set `s`, so is its derivative.
* `AnalyticOn.fderivWithin` : if a function is analytic on a set of unique differentiability,
so is its derivative within this set.
* `PartialHomeomorph.analyticAt_symm` : if a partial homeomorphism `f` is analytic at a
point `f.symm a`, with invertible derivative, then its inverse is analytic at `a`.
## Comments on completeness
Some theorems need a complete space, some don't, for the following reason.
(1) If a function is analytic at a point `x`, then it is differentiable there (with derivative given
by the first term in the power series). There is no issue of convergence here.
(2) If a function has a power series on a ball `B (x, r)`, there is no guarantee that the power
series for the derivative will converge at `y ≠ x`, if the space is not complete. So, to deduce
that `f` is differentiable at `y`, one needs completeness in general.
(3) However, if a function `f` has a power series on a ball `B (x, r)`, and is a priori known to be
differentiable at some point `y ≠ x`, then the power series for the derivative of `f` will
automatically converge at `y`, towards the given derivative: this follows from the facts that this
is true in the completion (thanks to the previous point) and that the map to the completion is
an embedding.
(4) Therefore, if one assumes `AnalyticOn 𝕜 f s` where `s` is an open set, then `f` is analytic
therefore differentiable at every point of `s`, by (1), so by (3) the power series for its
derivative converges on whole balls. Therefore, the derivative of `f` is also analytic on `s`. The
same holds if `s` is merely a set with unique differentials.
(5) However, this does not work for `AnalyticOnNhd 𝕜 f s`, as we don't get for free
differentiability at points in a neighborhood of `s`. Therefore, the theorem that deduces
`AnalyticOnNhd 𝕜 (fderiv 𝕜 f) s` from `AnalyticOnNhd 𝕜 f s` requires completeness of the space.
-/
open Filter Asymptotics Set
open scoped ENNReal Topology
universe u v
variable {𝕜 : Type*} [NontriviallyNormedField 𝕜]
variable {E : Type u} [NormedAddCommGroup E] [NormedSpace 𝕜 E]
variable {F : Type v} [NormedAddCommGroup F] [NormedSpace 𝕜 F]
section fderiv
variable {p : FormalMultilinearSeries 𝕜 E F} {r : ℝ≥0∞}
variable {f : E → F} {x : E} {s : Set E}
/-- A function which is analytic within a set is strictly differentiable there. Since we
don't have a predicate `HasStrictFDerivWithinAt`, we spell out what it would mean. -/
theorem HasFPowerSeriesWithinAt.hasStrictFDerivWithinAt (h : HasFPowerSeriesWithinAt f p s x) :
(fun y ↦ f y.1 - f y.2 - (continuousMultilinearCurryFin1 𝕜 E F (p 1)) (y.1 - y.2))
=o[𝓝[insert x s ×ˢ insert x s] (x, x)] fun y ↦ y.1 - y.2 := by
refine h.isBigO_image_sub_norm_mul_norm_sub.trans_isLittleO (IsLittleO.of_norm_right ?_)
refine isLittleO_iff_exists_eq_mul.2 ⟨fun y => ‖y - (x, x)‖, ?_, EventuallyEq.rfl⟩
apply Tendsto.mono_left _ nhdsWithin_le_nhds
refine (continuous_id.sub continuous_const).norm.tendsto' _ _ ?_
rw [_root_.id, sub_self, norm_zero]
theorem HasFPowerSeriesAt.hasStrictFDerivAt (h : HasFPowerSeriesAt f p x) :
HasStrictFDerivAt f (continuousMultilinearCurryFin1 𝕜 E F (p 1)) x := by
simpa only [hasStrictFDerivAt_iff_isLittleO, Set.insert_eq_of_mem, Set.mem_univ,
Set.univ_prod_univ, nhdsWithin_univ]
using (h.hasFPowerSeriesWithinAt (s := Set.univ)).hasStrictFDerivWithinAt
theorem HasFPowerSeriesWithinAt.hasFDerivWithinAt (h : HasFPowerSeriesWithinAt f p s x) :
HasFDerivWithinAt f (continuousMultilinearCurryFin1 𝕜 E F (p 1)) (insert x s) x := by
rw [HasFDerivWithinAt, hasFDerivAtFilter_iff_isLittleO, isLittleO_iff]
intro c hc
have : Tendsto (fun y ↦ (y, x)) (𝓝[insert x s] x) (𝓝[insert x s ×ˢ insert x s] (x, x)) := by
rw [nhdsWithin_prod_eq]
exact Tendsto.prodMk tendsto_id (tendsto_const_nhdsWithin (by simp))
exact this (isLittleO_iff.1 h.hasStrictFDerivWithinAt hc)
| theorem HasFPowerSeriesAt.hasFDerivAt (h : HasFPowerSeriesAt f p x) :
HasFDerivAt f (continuousMultilinearCurryFin1 𝕜 E F (p 1)) x :=
h.hasStrictFDerivAt.hasFDerivAt
theorem HasFPowerSeriesWithinAt.differentiableWithinAt (h : HasFPowerSeriesWithinAt f p s x) :
| Mathlib/Analysis/Calculus/FDeriv/Analytic.lean | 105 | 109 |
/-
Copyright (c) 2021 Justus Springer. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Justus Springer
-/
import Mathlib.CategoryTheory.Sites.Spaces
import Mathlib.Topology.Sheaves.Sheaf
import Mathlib.CategoryTheory.Sites.DenseSubsite.Basic
/-!
# Coverings and sieves; from sheaves on sites and sheaves on spaces
In this file, we connect coverings in a topological space to sieves in the associated Grothendieck
topology, in preparation of connecting the sheaf condition on sites to the various sheaf conditions
on spaces.
We also specialize results about sheaves on sites to sheaves on spaces; we show that the inclusion
functor from a topological basis to `TopologicalSpace.Opens` is cover dense, that open maps
induce cover preserving functors, and that open embeddings induce continuous functors.
-/
noncomputable section
open CategoryTheory TopologicalSpace Topology
universe w v u
namespace TopCat.Presheaf
variable {X : TopCat.{w}}
/-- Given a presieve `R` on `U`, we obtain a covering family of open sets in `X`, by taking as index
type the type of dependent pairs `(V, f)`, where `f : V ⟶ U` is in `R`.
-/
def coveringOfPresieve (U : Opens X) (R : Presieve U) : (ΣV, { f : V ⟶ U // R f }) → Opens X :=
fun f => f.1
@[simp]
theorem coveringOfPresieve_apply (U : Opens X) (R : Presieve U) (f : Σ V, { f : V ⟶ U // R f }) :
coveringOfPresieve U R f = f.1 := rfl
namespace coveringOfPresieve
variable (U : Opens X) (R : Presieve U)
/-- If `R` is a presieve in the grothendieck topology on `Opens X`, the covering family associated
to `R` really is _covering_, i.e. the union of all open sets equals `U`.
-/
theorem iSup_eq_of_mem_grothendieck (hR : Sieve.generate R ∈ Opens.grothendieckTopology X U) :
iSup (coveringOfPresieve U R) = U := by
apply le_antisymm
· refine iSup_le ?_
intro f
exact f.2.1.le
intro x hxU
rw [Opens.coe_iSup, Set.mem_iUnion]
obtain ⟨V, iVU, ⟨W, iVW, iWU, hiWU, -⟩, hxV⟩ := hR x hxU
exact ⟨⟨W, ⟨iWU, hiWU⟩⟩, iVW.le hxV⟩
end coveringOfPresieve
/-- Given a family of opens `U : ι → Opens X` and any open `Y : Opens X`, we obtain a presieve
on `Y` by declaring that a morphism `f : V ⟶ Y` is a member of the presieve if and only if
there exists an index `i : ι` such that `V = U i`.
-/
def presieveOfCoveringAux {ι : Type v} (U : ι → Opens X) (Y : Opens X) : Presieve Y :=
fun V _ => ∃ i, V = U i
/-- Take `Y` to be `iSup U` and obtain a presieve over `iSup U`. -/
def presieveOfCovering {ι : Type v} (U : ι → Opens X) : Presieve (iSup U) :=
presieveOfCoveringAux U (iSup U)
/-- Given a presieve `R` on `Y`, if we take its associated family of opens via
`coveringOfPresieve` (which may not cover `Y` if `R` is not covering), and take
the presieve on `Y` associated to the family of opens via `presieveOfCoveringAux`,
then we get back the original presieve `R`. -/
@[simp]
theorem covering_presieve_eq_self {Y : Opens X} (R : Presieve Y) :
presieveOfCoveringAux (coveringOfPresieve Y R) Y = R := by
funext Z
ext f
exact ⟨fun ⟨⟨_, f', h⟩, rfl⟩ => by rwa [Subsingleton.elim f f'], fun h => ⟨⟨Z, f, h⟩, rfl⟩⟩
namespace presieveOfCovering
variable {ι : Type v} (U : ι → Opens X)
/-- The sieve generated by `presieveOfCovering U` is a member of the grothendieck topology.
-/
theorem mem_grothendieckTopology :
Sieve.generate (presieveOfCovering U) ∈ Opens.grothendieckTopology X (iSup U) := by
intro x hx
obtain ⟨i, hxi⟩ := Opens.mem_iSup.mp hx
exact ⟨U i, Opens.leSupr U i, ⟨U i, 𝟙 _, Opens.leSupr U i, ⟨i, rfl⟩, Category.id_comp _⟩, hxi⟩
/-- An index `i : ι` can be turned into a dependent pair `(V, f)`, where `V` is an open set and
`f : V ⟶ iSup U` is a member of `presieveOfCovering U f`.
-/
def homOfIndex (i : ι) : ΣV, { f : V ⟶ iSup U // presieveOfCovering U f } :=
⟨U i, Opens.leSupr U i, i, rfl⟩
/-- By using the axiom of choice, a dependent pair `(V, f)` where `f : V ⟶ iSup U` is a member of
`presieveOfCovering U f` can be turned into an index `i : ι`, such that `V = U i`.
-/
def indexOfHom (f : Σ V, { f : V ⟶ iSup U // presieveOfCovering U f }) : ι :=
f.2.2.choose
theorem indexOfHom_spec (f : Σ V, { f : V ⟶ iSup U // presieveOfCovering U f }) :
f.1 = U (indexOfHom U f) :=
f.2.2.choose_spec
end presieveOfCovering
end TopCat.Presheaf
namespace TopCat.Opens
variable {X : TopCat} {ι : Type*}
theorem coverDense_iff_isBasis [Category ι] (B : ι ⥤ Opens X) :
B.IsCoverDense (Opens.grothendieckTopology X) ↔ Opens.IsBasis (Set.range B.obj) := by
rw [Opens.isBasis_iff_nbhd]
constructor
· intro hd U x hx; rcases hd.1 U x hx with ⟨V, f, ⟨i, f₁, f₂, _⟩, hV⟩
exact ⟨B.obj i, ⟨i, rfl⟩, f₁.le hV, f₂.le⟩
intro hb; constructor; intro U x hx; rcases hb hx with ⟨_, ⟨i, rfl⟩, hx, hi⟩
exact ⟨B.obj i, ⟨⟨hi⟩⟩, ⟨⟨i, 𝟙 _, ⟨⟨hi⟩⟩, rfl⟩⟩, hx⟩
theorem coverDense_inducedFunctor {B : ι → Opens X} (h : Opens.IsBasis (Set.range B)) :
(inducedFunctor B).IsCoverDense (Opens.grothendieckTopology X) :=
(coverDense_iff_isBasis _).2 h
end TopCat.Opens
section IsOpenEmbedding
open TopCat.Presheaf Opposite
variable {C : Type u} [Category.{v} C]
variable {X Y : TopCat.{w}} {f : X ⟶ Y} {F : Y.Presheaf C}
theorem Topology.IsOpenEmbedding.compatiblePreserving (hf : IsOpenEmbedding f) :
CompatiblePreserving (Opens.grothendieckTopology Y) hf.isOpenMap.functor := by
haveI : Mono f := (TopCat.mono_iff_injective f).mpr hf.injective
apply compatiblePreservingOfDownwardsClosed
intro U V i
refine ⟨(Opens.map f).obj V, eqToIso <| Opens.ext <| Set.image_preimage_eq_of_subset fun x h ↦ ?_⟩
obtain ⟨_, _, rfl⟩ := i.le h
exact ⟨_, rfl⟩
theorem IsOpenMap.coverPreserving (hf : IsOpenMap f) :
CoverPreserving (Opens.grothendieckTopology X) (Opens.grothendieckTopology Y) hf.functor := by
constructor
rintro U S hU _ ⟨x, hx, rfl⟩
obtain ⟨V, i, hV, hxV⟩ := hU x hx
exact ⟨_, hf.functor.map i, ⟨_, i, 𝟙 _, hV, rfl⟩, Set.mem_image_of_mem f hxV⟩
lemma Topology.IsOpenEmbedding.functor_isContinuous (h : IsOpenEmbedding f) :
h.isOpenMap.functor.IsContinuous (Opens.grothendieckTopology X)
(Opens.grothendieckTopology Y) := by
apply Functor.isContinuous_of_coverPreserving
· exact h.compatiblePreserving
· exact h.isOpenMap.coverPreserving
theorem TopCat.Presheaf.isSheaf_of_isOpenEmbedding (h : IsOpenEmbedding f) (hF : F.IsSheaf) :
IsSheaf (h.isOpenMap.functor.op ⋙ F) := by
have := h.functor_isContinuous
exact Functor.op_comp_isSheaf _ _ _ ⟨_, hF⟩
variable (f)
instance : RepresentablyFlat (Opens.map f) := by
constructor
intro U
refine @IsCofiltered.mk _ _ ?_ ?_
· constructor
· intro V W
exact ⟨⟨⟨PUnit.unit⟩, V.right ⊓ W.right, homOfLE <| le_inf V.hom.le W.hom.le⟩,
StructuredArrow.homMk (homOfLE inf_le_left),
StructuredArrow.homMk (homOfLE inf_le_right), trivial⟩
· exact fun _ _ _ _ ↦ ⟨_, 𝟙 _, by simp [eq_iff_true_of_subsingleton]⟩
· exact ⟨StructuredArrow.mk <| show U ⟶ (Opens.map f).obj ⊤ from homOfLE le_top⟩
theorem compatiblePreserving_opens_map :
CompatiblePreserving (Opens.grothendieckTopology X) (Opens.map f) :=
compatiblePreservingOfFlat _ _
theorem coverPreserving_opens_map : CoverPreserving (Opens.grothendieckTopology Y)
(Opens.grothendieckTopology X) (Opens.map f) := by
constructor
intro U S hS x hx
obtain ⟨V, i, hi, hxV⟩ := hS (f x) hx
exact ⟨_, (Opens.map f).map i, ⟨_, _, 𝟙 _, hi, Subsingleton.elim _ _⟩, hxV⟩
instance : (Opens.map f).IsContinuous (Opens.grothendieckTopology Y)
(Opens.grothendieckTopology X) := by
apply Functor.isContinuous_of_coverPreserving
· exact compatiblePreserving_opens_map f
· exact coverPreserving_opens_map f
end IsOpenEmbedding
namespace TopCat.Sheaf
open TopCat Opposite
variable {C : Type u} [Category.{v} C]
variable {X : TopCat.{w}} {ι : Type*} {B : ι → Opens X}
variable (F : X.Presheaf C) (F' : Sheaf C X)
/-- The empty component of a sheaf is terminal. -/
def isTerminalOfEmpty (F : Sheaf C X) : Limits.IsTerminal (F.val.obj (op ⊥)) :=
F.isTerminalOfBotCover ⊥ (fun _ h => h.elim)
/-- A variant of `isTerminalOfEmpty` that is easier to `apply`. -/
def isTerminalOfEqEmpty (F : X.Sheaf C) {U : Opens X} (h : U = ⊥) :
Limits.IsTerminal (F.val.obj (op U)) := by
convert F.isTerminalOfEmpty
/-- If a family `B` of open sets forms a basis of the topology on `X`, and if `F'`
is a sheaf on `X`, then a homomorphism between a presheaf `F` on `X` and `F'`
is equivalent to a homomorphism between their restrictions to the indexing type
`ι` of `B`, with the induced category structure on `ι`. -/
def restrictHomEquivHom (h : Opens.IsBasis (Set.range B)) :
((inducedFunctor B).op ⋙ F ⟶ (inducedFunctor B).op ⋙ F'.1) ≃ (F ⟶ F'.1) :=
@Functor.IsCoverDense.restrictHomEquivHom _ _ _ _ _ _ _ _
(Opens.coverDense_inducedFunctor h) _ F F'
@[simp]
theorem extend_hom_app (h : Opens.IsBasis (Set.range B))
(α : (inducedFunctor B).op ⋙ F ⟶ (inducedFunctor B).op ⋙ F'.1) (i : ι) :
(restrictHomEquivHom F F' h α).app (op (B i)) = α.app (op i) := by
nth_rw 2 [← (restrictHomEquivHom F F' h).left_inv α]
rfl
theorem hom_ext (h : Opens.IsBasis (Set.range B))
{α β : F ⟶ F'.1} (he : ∀ i, α.app (op (B i)) = β.app (op (B i))) : α = β := by
apply (restrictHomEquivHom F F' h).symm.injective
ext i
exact he i.unop
end TopCat.Sheaf
| Mathlib/Topology/Sheaves/SheafCondition/Sites.lean | 256 | 259 | |
/-
Copyright (c) 2021 Anatole Dedecker. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Anatole Dedecker, Bhavik Mehta
-/
import Mathlib.Analysis.Calculus.Deriv.Support
import Mathlib.Analysis.SpecialFunctions.Pow.Deriv
import Mathlib.MeasureTheory.Function.Jacobian
import Mathlib.MeasureTheory.Integral.IntervalIntegral.IntegrationByParts
import Mathlib.MeasureTheory.Measure.Haar.NormedSpace
import Mathlib.MeasureTheory.Measure.Haar.Unique
/-!
# Links between an integral and its "improper" version
In its current state, mathlib only knows how to talk about definite ("proper") integrals,
in the sense that it treats integrals over `[x, +∞)` the same as it treats integrals over
`[y, z]`. For example, the integral over `[1, +∞)` is **not** defined to be the limit of
the integral over `[1, x]` as `x` tends to `+∞`, which is known as an **improper integral**.
Indeed, the "proper" definition is stronger than the "improper" one. The usual counterexample
is `x ↦ sin(x)/x`, which has an improper integral over `[1, +∞)` but no definite integral.
Although definite integrals have better properties, they are hardly usable when it comes to
computing integrals on unbounded sets, which is much easier using limits. Thus, in this file,
we prove various ways of studying the proper integral by studying the improper one.
## Definitions
The main definition of this file is `MeasureTheory.AECover`. It is a rather technical definition
whose sole purpose is generalizing and factoring proofs. Given an index type `ι`, a countably
generated filter `l` over `ι`, and an `ι`-indexed family `φ` of subsets of a measurable space `α`
equipped with a measure `μ`, one should think of a hypothesis `hφ : MeasureTheory.AECover μ l φ` as
a sufficient condition for being able to interpret `∫ x, f x ∂μ` (if it exists) as the limit of `∫ x
in φ i, f x ∂μ` as `i` tends to `l`.
When using this definition with a measure restricted to a set `s`, which happens fairly often, one
should not try too hard to use a `MeasureTheory.AECover` of subsets of `s`, as it often makes proofs
more complicated than necessary. See for example the proof of
`MeasureTheory.integrableOn_Iic_of_intervalIntegral_norm_tendsto` where we use `(fun x ↦ oi x)` as a
`MeasureTheory.AECover` w.r.t. `μ.restrict (Iic b)`, instead of using `(fun x ↦ Ioc x b)`.
## Main statements
- `MeasureTheory.AECover.lintegral_tendsto_of_countably_generated` : if `φ` is a
`MeasureTheory.AECover μ l`, where `l` is a countably generated filter, and if `f` is a measurable
`ENNReal`-valued function, then `∫⁻ x in φ n, f x ∂μ` tends to `∫⁻ x, f x ∂μ` as `n` tends to `l`
- `MeasureTheory.AECover.integrable_of_integral_norm_tendsto` : if `φ` is a
`MeasureTheory.AECover μ l`, where `l` is a countably generated filter, if `f` is measurable and
integrable on each `φ n`, and if `∫ x in φ n, ‖f x‖ ∂μ` tends to some `I : ℝ` as n tends to `l`,
then `f` is integrable
- `MeasureTheory.AECover.integral_tendsto_of_countably_generated` : if `φ` is a
`MeasureTheory.AECover μ l`, where `l` is a countably generated filter, and if `f` is measurable
and integrable (globally), then `∫ x in φ n, f x ∂μ` tends to `∫ x, f x ∂μ` as `n` tends to `+∞`.
We then specialize these lemmas to various use cases involving intervals, which are frequent
in analysis. In particular,
- `MeasureTheory.integral_Ioi_of_hasDerivAt_of_tendsto` is a version of FTC-2 on the interval
`(a, +∞)`, giving the formula `∫ x in (a, +∞), g' x = l - g a` if `g'` is integrable and
`g` tends to `l` at `+∞`.
- `MeasureTheory.integral_Ioi_of_hasDerivAt_of_nonneg` gives the same result assuming that
`g'` is nonnegative instead of integrable. Its automatic integrability in this context is proved
in `MeasureTheory.integrableOn_Ioi_deriv_of_nonneg`.
- `MeasureTheory.integral_comp_smul_deriv_Ioi` is a version of the change of variables formula
on semi-infinite intervals.
- `MeasureTheory.tendsto_limUnder_of_hasDerivAt_of_integrableOn_Ioi` shows that a function whose
derivative is integrable on `(a, +∞)` has a limit at `+∞`.
- `MeasureTheory.tendsto_zero_of_hasDerivAt_of_integrableOn_Ioi` shows that an integrable function
whose derivative is integrable on `(a, +∞)` tends to `0` at `+∞`.
Versions of these results are also given on the intervals `(-∞, a]` and `(-∞, +∞)`, as well as
the corresponding versions of integration by parts.
-/
open MeasureTheory Filter Set TopologicalSpace Topology
open scoped ENNReal NNReal
namespace MeasureTheory
section AECover
variable {α ι : Type*} [MeasurableSpace α] (μ : Measure α) (l : Filter ι)
/-- A sequence `φ` of subsets of `α` is a `MeasureTheory.AECover` w.r.t. a measure `μ` and a filter
`l` if almost every point (w.r.t. `μ`) of `α` eventually belongs to `φ n` (w.r.t. `l`), and if
each `φ n` is measurable. This definition is a technical way to avoid duplicating a lot of
proofs. It should be thought of as a sufficient condition for being able to interpret
`∫ x, f x ∂μ` (if it exists) as the limit of `∫ x in φ n, f x ∂μ` as `n` tends to `l`.
See for example `MeasureTheory.AECover.lintegral_tendsto_of_countably_generated`,
`MeasureTheory.AECover.integrable_of_integral_norm_tendsto` and
`MeasureTheory.AECover.integral_tendsto_of_countably_generated`. -/
structure AECover (φ : ι → Set α) : Prop where
ae_eventually_mem : ∀ᵐ x ∂μ, ∀ᶠ i in l, x ∈ φ i
protected measurableSet : ∀ i, MeasurableSet <| φ i
variable {μ} {l}
namespace AECover
/-!
## Operations on `AECover`s
-/
/-- Elementwise intersection of two `AECover`s is an `AECover`. -/
theorem inter {φ ψ : ι → Set α} (hφ : AECover μ l φ) (hψ : AECover μ l ψ) :
AECover μ l (fun i ↦ φ i ∩ ψ i) where
ae_eventually_mem := hψ.1.mp <| hφ.1.mono fun _ ↦ Eventually.and
measurableSet _ := (hφ.2 _).inter (hψ.2 _)
theorem superset {φ ψ : ι → Set α} (hφ : AECover μ l φ) (hsub : ∀ i, φ i ⊆ ψ i)
(hmeas : ∀ i, MeasurableSet (ψ i)) : AECover μ l ψ :=
⟨hφ.1.mono fun _x hx ↦ hx.mono fun i hi ↦ hsub i hi, hmeas⟩
theorem mono_ac {ν : Measure α} {φ : ι → Set α} (hφ : AECover μ l φ) (hle : ν ≪ μ) :
AECover ν l φ := ⟨hle hφ.1, hφ.2⟩
theorem mono {ν : Measure α} {φ : ι → Set α} (hφ : AECover μ l φ) (hle : ν ≤ μ) :
AECover ν l φ := hφ.mono_ac hle.absolutelyContinuous
end AECover
section MetricSpace
variable [PseudoMetricSpace α] [OpensMeasurableSpace α]
theorem aecover_ball {x : α} {r : ι → ℝ} (hr : Tendsto r l atTop) :
AECover μ l (fun i ↦ Metric.ball x (r i)) where
measurableSet _ := Metric.isOpen_ball.measurableSet
ae_eventually_mem := by
filter_upwards with y
filter_upwards [hr (Ioi_mem_atTop (dist x y))] with a ha using by simpa [dist_comm] using ha
theorem aecover_closedBall {x : α} {r : ι → ℝ} (hr : Tendsto r l atTop) :
AECover μ l (fun i ↦ Metric.closedBall x (r i)) where
measurableSet _ := Metric.isClosed_closedBall.measurableSet
ae_eventually_mem := by
filter_upwards with y
filter_upwards [hr (Ici_mem_atTop (dist x y))] with a ha using by simpa [dist_comm] using ha
end MetricSpace
section Preorderα
variable [Preorder α] [TopologicalSpace α] [OrderClosedTopology α] [OpensMeasurableSpace α]
{a b : ι → α}
theorem aecover_Ici (ha : Tendsto a l atBot) : AECover μ l fun i => Ici (a i) where
ae_eventually_mem := ae_of_all μ ha.eventually_le_atBot
measurableSet _ := measurableSet_Ici
theorem aecover_Iic (hb : Tendsto b l atTop) : AECover μ l fun i => Iic <| b i :=
aecover_Ici (α := αᵒᵈ) hb
theorem aecover_Icc (ha : Tendsto a l atBot) (hb : Tendsto b l atTop) :
AECover μ l fun i => Icc (a i) (b i) :=
(aecover_Ici ha).inter (aecover_Iic hb)
end Preorderα
section LinearOrderα
variable [LinearOrder α] [TopologicalSpace α] [OrderClosedTopology α] [OpensMeasurableSpace α]
{a b : ι → α} (ha : Tendsto a l atBot) (hb : Tendsto b l atTop)
include ha in
theorem aecover_Ioi [NoMinOrder α] : AECover μ l fun i => Ioi (a i) where
ae_eventually_mem := ae_of_all μ ha.eventually_lt_atBot
measurableSet _ := measurableSet_Ioi
include hb in
theorem aecover_Iio [NoMaxOrder α] : AECover μ l fun i => Iio (b i) := aecover_Ioi (α := αᵒᵈ) hb
include ha hb
theorem aecover_Ioo [NoMinOrder α] [NoMaxOrder α] : AECover μ l fun i => Ioo (a i) (b i) :=
(aecover_Ioi ha).inter (aecover_Iio hb)
theorem aecover_Ioc [NoMinOrder α] : AECover μ l fun i => Ioc (a i) (b i) :=
(aecover_Ioi ha).inter (aecover_Iic hb)
theorem aecover_Ico [NoMaxOrder α] : AECover μ l fun i => Ico (a i) (b i) :=
(aecover_Ici ha).inter (aecover_Iio hb)
end LinearOrderα
section FiniteIntervals
variable [LinearOrder α] [TopologicalSpace α] [OrderClosedTopology α] [OpensMeasurableSpace α]
{a b : ι → α} {A B : α} (ha : Tendsto a l (𝓝 A)) (hb : Tendsto b l (𝓝 B))
include ha in
theorem aecover_Ioi_of_Ioi : AECover (μ.restrict (Ioi A)) l fun i ↦ Ioi (a i) where
ae_eventually_mem := (ae_restrict_mem measurableSet_Ioi).mono fun _x hx ↦ ha.eventually <|
eventually_lt_nhds hx
measurableSet _ := measurableSet_Ioi
include hb in
theorem aecover_Iio_of_Iio : AECover (μ.restrict (Iio B)) l fun i ↦ Iio (b i) :=
aecover_Ioi_of_Ioi (α := αᵒᵈ) hb
include ha in
theorem aecover_Ioi_of_Ici : AECover (μ.restrict (Ioi A)) l fun i ↦ Ici (a i) :=
(aecover_Ioi_of_Ioi ha).superset (fun _ ↦ Ioi_subset_Ici_self) fun _ ↦ measurableSet_Ici
include hb in
theorem aecover_Iio_of_Iic : AECover (μ.restrict (Iio B)) l fun i ↦ Iic (b i) :=
aecover_Ioi_of_Ici (α := αᵒᵈ) hb
include ha hb in
theorem aecover_Ioo_of_Ioo : AECover (μ.restrict <| Ioo A B) l fun i => Ioo (a i) (b i) :=
((aecover_Ioi_of_Ioi ha).mono <| Measure.restrict_mono Ioo_subset_Ioi_self le_rfl).inter
((aecover_Iio_of_Iio hb).mono <| Measure.restrict_mono Ioo_subset_Iio_self le_rfl)
include ha hb in
theorem aecover_Ioo_of_Icc : AECover (μ.restrict <| Ioo A B) l fun i => Icc (a i) (b i) :=
(aecover_Ioo_of_Ioo ha hb).superset (fun _ ↦ Ioo_subset_Icc_self) fun _ ↦ measurableSet_Icc
include ha hb in
theorem aecover_Ioo_of_Ico : AECover (μ.restrict <| Ioo A B) l fun i => Ico (a i) (b i) :=
(aecover_Ioo_of_Ioo ha hb).superset (fun _ ↦ Ioo_subset_Ico_self) fun _ ↦ measurableSet_Ico
include ha hb in
theorem aecover_Ioo_of_Ioc : AECover (μ.restrict <| Ioo A B) l fun i => Ioc (a i) (b i) :=
(aecover_Ioo_of_Ioo ha hb).superset (fun _ ↦ Ioo_subset_Ioc_self) fun _ ↦ measurableSet_Ioc
variable [NoAtoms μ]
theorem aecover_Ioc_of_Icc (ha : Tendsto a l (𝓝 A)) (hb : Tendsto b l (𝓝 B)) :
AECover (μ.restrict <| Ioc A B) l fun i => Icc (a i) (b i) :=
(aecover_Ioo_of_Icc ha hb).mono (Measure.restrict_congr_set Ioo_ae_eq_Ioc).ge
theorem aecover_Ioc_of_Ico (ha : Tendsto a l (𝓝 A)) (hb : Tendsto b l (𝓝 B)) :
AECover (μ.restrict <| Ioc A B) l fun i => Ico (a i) (b i) :=
(aecover_Ioo_of_Ico ha hb).mono (Measure.restrict_congr_set Ioo_ae_eq_Ioc).ge
theorem aecover_Ioc_of_Ioc (ha : Tendsto a l (𝓝 A)) (hb : Tendsto b l (𝓝 B)) :
AECover (μ.restrict <| Ioc A B) l fun i => Ioc (a i) (b i) :=
(aecover_Ioo_of_Ioc ha hb).mono (Measure.restrict_congr_set Ioo_ae_eq_Ioc).ge
theorem aecover_Ioc_of_Ioo (ha : Tendsto a l (𝓝 A)) (hb : Tendsto b l (𝓝 B)) :
AECover (μ.restrict <| Ioc A B) l fun i => Ioo (a i) (b i) :=
(aecover_Ioo_of_Ioo ha hb).mono (Measure.restrict_congr_set Ioo_ae_eq_Ioc).ge
theorem aecover_Ico_of_Icc (ha : Tendsto a l (𝓝 A)) (hb : Tendsto b l (𝓝 B)) :
AECover (μ.restrict <| Ico A B) l fun i => Icc (a i) (b i) :=
(aecover_Ioo_of_Icc ha hb).mono (Measure.restrict_congr_set Ioo_ae_eq_Ico).ge
theorem aecover_Ico_of_Ico (ha : Tendsto a l (𝓝 A)) (hb : Tendsto b l (𝓝 B)) :
AECover (μ.restrict <| Ico A B) l fun i => Ico (a i) (b i) :=
(aecover_Ioo_of_Ico ha hb).mono (Measure.restrict_congr_set Ioo_ae_eq_Ico).ge
theorem aecover_Ico_of_Ioc (ha : Tendsto a l (𝓝 A)) (hb : Tendsto b l (𝓝 B)) :
AECover (μ.restrict <| Ico A B) l fun i => Ioc (a i) (b i) :=
(aecover_Ioo_of_Ioc ha hb).mono (Measure.restrict_congr_set Ioo_ae_eq_Ico).ge
theorem aecover_Ico_of_Ioo (ha : Tendsto a l (𝓝 A)) (hb : Tendsto b l (𝓝 B)) :
AECover (μ.restrict <| Ico A B) l fun i => Ioo (a i) (b i) :=
(aecover_Ioo_of_Ioo ha hb).mono (Measure.restrict_congr_set Ioo_ae_eq_Ico).ge
theorem aecover_Icc_of_Icc (ha : Tendsto a l (𝓝 A)) (hb : Tendsto b l (𝓝 B)) :
AECover (μ.restrict <| Icc A B) l fun i => Icc (a i) (b i) :=
(aecover_Ioo_of_Icc ha hb).mono (Measure.restrict_congr_set Ioo_ae_eq_Icc).ge
theorem aecover_Icc_of_Ico (ha : Tendsto a l (𝓝 A)) (hb : Tendsto b l (𝓝 B)) :
AECover (μ.restrict <| Icc A B) l fun i => Ico (a i) (b i) :=
(aecover_Ioo_of_Ico ha hb).mono (Measure.restrict_congr_set Ioo_ae_eq_Icc).ge
theorem aecover_Icc_of_Ioc (ha : Tendsto a l (𝓝 A)) (hb : Tendsto b l (𝓝 B)) :
AECover (μ.restrict <| Icc A B) l fun i => Ioc (a i) (b i) :=
(aecover_Ioo_of_Ioc ha hb).mono (Measure.restrict_congr_set Ioo_ae_eq_Icc).ge
theorem aecover_Icc_of_Ioo (ha : Tendsto a l (𝓝 A)) (hb : Tendsto b l (𝓝 B)) :
AECover (μ.restrict <| Icc A B) l fun i => Ioo (a i) (b i) :=
(aecover_Ioo_of_Ioo ha hb).mono (Measure.restrict_congr_set Ioo_ae_eq_Icc).ge
end FiniteIntervals
protected theorem AECover.restrict {φ : ι → Set α} (hφ : AECover μ l φ) {s : Set α} :
AECover (μ.restrict s) l φ :=
hφ.mono Measure.restrict_le_self
theorem aecover_restrict_of_ae_imp {s : Set α} {φ : ι → Set α} (hs : MeasurableSet s)
(ae_eventually_mem : ∀ᵐ x ∂μ, x ∈ s → ∀ᶠ n in l, x ∈ φ n)
(measurable : ∀ n, MeasurableSet <| φ n) : AECover (μ.restrict s) l φ where
ae_eventually_mem := by rwa [ae_restrict_iff' hs]
measurableSet := measurable
theorem AECover.inter_restrict {φ : ι → Set α} (hφ : AECover μ l φ) {s : Set α}
(hs : MeasurableSet s) : AECover (μ.restrict s) l fun i => φ i ∩ s :=
aecover_restrict_of_ae_imp hs
(hφ.ae_eventually_mem.mono fun _x hx hxs => hx.mono fun _i hi => ⟨hi, hxs⟩) fun i =>
(hφ.measurableSet i).inter hs
theorem AECover.ae_tendsto_indicator {β : Type*} [Zero β] [TopologicalSpace β] (f : α → β)
{φ : ι → Set α} (hφ : AECover μ l φ) :
∀ᵐ x ∂μ, Tendsto (fun i => (φ i).indicator f x) l (𝓝 <| f x) :=
hφ.ae_eventually_mem.mono fun _x hx =>
tendsto_const_nhds.congr' <| hx.mono fun _n hn => (indicator_of_mem hn _).symm
theorem AECover.aemeasurable {β : Type*} [MeasurableSpace β] [l.IsCountablyGenerated] [l.NeBot]
{f : α → β} {φ : ι → Set α} (hφ : AECover μ l φ)
(hfm : ∀ i, AEMeasurable f (μ.restrict <| φ i)) : AEMeasurable f μ := by
obtain ⟨u, hu⟩ := l.exists_seq_tendsto
have := aemeasurable_iUnion_iff.mpr fun n : ℕ => hfm (u n)
rwa [Measure.restrict_eq_self_of_ae_mem] at this
filter_upwards [hφ.ae_eventually_mem] with x hx using
mem_iUnion.mpr (hu.eventually hx).exists
theorem AECover.aestronglyMeasurable {β : Type*} [TopologicalSpace β] [PseudoMetrizableSpace β]
[l.IsCountablyGenerated] [l.NeBot] {f : α → β} {φ : ι → Set α} (hφ : AECover μ l φ)
(hfm : ∀ i, AEStronglyMeasurable f (μ.restrict <| φ i)) : AEStronglyMeasurable f μ := by
obtain ⟨u, hu⟩ := l.exists_seq_tendsto
have := aestronglyMeasurable_iUnion_iff.mpr fun n : ℕ => hfm (u n)
rwa [Measure.restrict_eq_self_of_ae_mem] at this
filter_upwards [hφ.ae_eventually_mem] with x hx using mem_iUnion.mpr (hu.eventually hx).exists
end AECover
theorem AECover.comp_tendsto {α ι ι' : Type*} [MeasurableSpace α] {μ : Measure α} {l : Filter ι}
{l' : Filter ι'} {φ : ι → Set α} (hφ : AECover μ l φ) {u : ι' → ι} (hu : Tendsto u l' l) :
AECover μ l' (φ ∘ u) where
ae_eventually_mem := hφ.ae_eventually_mem.mono fun _x hx => hu.eventually hx
measurableSet i := hφ.measurableSet (u i)
section AECoverUnionInterCountable
variable {α ι : Type*} [Countable ι] [MeasurableSpace α] {μ : Measure α}
theorem AECover.biUnion_Iic_aecover [Preorder ι] {φ : ι → Set α} (hφ : AECover μ atTop φ) :
AECover μ atTop fun n : ι => ⋃ (k) (_h : k ∈ Iic n), φ k :=
hφ.superset (fun _ ↦ subset_biUnion_of_mem right_mem_Iic) fun _ ↦ .biUnion (to_countable _)
fun _ _ ↦ (hφ.2 _)
theorem AECover.biInter_Ici_aecover [Preorder ι] {φ : ι → Set α}
(hφ : AECover μ atTop φ) : AECover μ atTop fun n : ι => ⋂ (k) (_h : k ∈ Ici n), φ k where
ae_eventually_mem := hφ.ae_eventually_mem.mono fun x h ↦ by
simpa only [mem_iInter, mem_Ici, eventually_forall_ge_atTop]
measurableSet _ := .biInter (to_countable _) fun n _ => hφ.measurableSet n
end AECoverUnionInterCountable
section Lintegral
variable {α ι : Type*} [MeasurableSpace α] {μ : Measure α} {l : Filter ι}
private theorem lintegral_tendsto_of_monotone_of_nat {φ : ℕ → Set α} (hφ : AECover μ atTop φ)
(hmono : Monotone φ) {f : α → ℝ≥0∞} (hfm : AEMeasurable f μ) :
Tendsto (fun i => ∫⁻ x in φ i, f x ∂μ) atTop (𝓝 <| ∫⁻ x, f x ∂μ) :=
let F n := (φ n).indicator f
have key₁ : ∀ n, AEMeasurable (F n) μ := fun n => hfm.indicator (hφ.measurableSet n)
have key₂ : ∀ᵐ x : α ∂μ, Monotone fun n => F n x := ae_of_all _ fun x _i _j hij =>
indicator_le_indicator_of_subset (hmono hij) (fun x => zero_le <| f x) x
have key₃ : ∀ᵐ x : α ∂μ, Tendsto (fun n => F n x) atTop (𝓝 (f x)) := hφ.ae_tendsto_indicator f
(lintegral_tendsto_of_tendsto_of_monotone key₁ key₂ key₃).congr fun n =>
lintegral_indicator (hφ.measurableSet n) _
theorem AECover.lintegral_tendsto_of_nat {φ : ℕ → Set α} (hφ : AECover μ atTop φ) {f : α → ℝ≥0∞}
(hfm : AEMeasurable f μ) : Tendsto (∫⁻ x in φ ·, f x ∂μ) atTop (𝓝 <| ∫⁻ x, f x ∂μ) := by
have lim₁ := lintegral_tendsto_of_monotone_of_nat hφ.biInter_Ici_aecover
(fun i j hij => biInter_subset_biInter_left (Ici_subset_Ici.mpr hij)) hfm
have lim₂ := lintegral_tendsto_of_monotone_of_nat hφ.biUnion_Iic_aecover
(fun i j hij => biUnion_subset_biUnion_left (Iic_subset_Iic.mpr hij)) hfm
refine tendsto_of_tendsto_of_tendsto_of_le_of_le lim₁ lim₂ (fun n ↦ ?_) fun n ↦ ?_
exacts [lintegral_mono_set (biInter_subset_of_mem left_mem_Ici),
lintegral_mono_set (subset_biUnion_of_mem right_mem_Iic)]
theorem AECover.lintegral_tendsto_of_countably_generated [l.IsCountablyGenerated] {φ : ι → Set α}
(hφ : AECover μ l φ) {f : α → ℝ≥0∞} (hfm : AEMeasurable f μ) :
Tendsto (fun i => ∫⁻ x in φ i, f x ∂μ) l (𝓝 <| ∫⁻ x, f x ∂μ) :=
tendsto_of_seq_tendsto fun _u hu => (hφ.comp_tendsto hu).lintegral_tendsto_of_nat hfm
theorem AECover.lintegral_eq_of_tendsto [l.NeBot] [l.IsCountablyGenerated] {φ : ι → Set α}
(hφ : AECover μ l φ) {f : α → ℝ≥0∞} (I : ℝ≥0∞) (hfm : AEMeasurable f μ)
(htendsto : Tendsto (fun i => ∫⁻ x in φ i, f x ∂μ) l (𝓝 I)) : ∫⁻ x, f x ∂μ = I :=
tendsto_nhds_unique (hφ.lintegral_tendsto_of_countably_generated hfm) htendsto
theorem AECover.iSup_lintegral_eq_of_countably_generated [Nonempty ι] [l.NeBot]
[l.IsCountablyGenerated] {φ : ι → Set α} (hφ : AECover μ l φ) {f : α → ℝ≥0∞}
(hfm : AEMeasurable f μ) : ⨆ i : ι, ∫⁻ x in φ i, f x ∂μ = ∫⁻ x, f x ∂μ := by
have := hφ.lintegral_tendsto_of_countably_generated hfm
refine ciSup_eq_of_forall_le_of_forall_lt_exists_gt
(fun i => lintegral_mono' Measure.restrict_le_self le_rfl) fun w hw => ?_
exact (this.eventually_const_lt hw).exists
end Lintegral
section Integrable
variable {α ι E : Type*} [MeasurableSpace α] {μ : Measure α} {l : Filter ι} [NormedAddCommGroup E]
theorem AECover.integrable_of_lintegral_enorm_bounded [l.NeBot] [l.IsCountablyGenerated]
{φ : ι → Set α} (hφ : AECover μ l φ) {f : α → E} (I : ℝ) (hfm : AEStronglyMeasurable f μ)
(hbounded : ∀ᶠ i in l, ∫⁻ x in φ i, ‖f x‖ₑ ∂μ ≤ ENNReal.ofReal I) : Integrable f μ := by
refine ⟨hfm, (le_of_tendsto ?_ hbounded).trans_lt ENNReal.ofReal_lt_top⟩
exact hφ.lintegral_tendsto_of_countably_generated hfm.enorm
@[deprecated (since := "2025-01-22")]
alias AECover.integrable_of_lintegral_nnnorm_bounded :=
AECover.integrable_of_lintegral_enorm_bounded
theorem AECover.integrable_of_lintegral_enorm_tendsto [l.NeBot] [l.IsCountablyGenerated]
{φ : ι → Set α} (hφ : AECover μ l φ) {f : α → E} (I : ℝ) (hfm : AEStronglyMeasurable f μ)
(htendsto : Tendsto (fun i => ∫⁻ x in φ i, ‖f x‖ₑ ∂μ) l (𝓝 <| .ofReal I)) :
Integrable f μ := by
refine hφ.integrable_of_lintegral_enorm_bounded (max 1 (I + 1)) hfm ?_
refine htendsto.eventually (ge_mem_nhds ?_)
refine (ENNReal.ofReal_lt_ofReal_iff (lt_max_of_lt_left zero_lt_one)).2 ?_
exact lt_max_of_lt_right (lt_add_one I)
@[deprecated (since := "2025-01-22")]
alias AECover.integrable_of_lintegral_nnnorm_tendsto :=
AECover.integrable_of_lintegral_enorm_tendsto
theorem AECover.integrable_of_lintegral_enorm_bounded' [l.NeBot] [l.IsCountablyGenerated]
{φ : ι → Set α} (hφ : AECover μ l φ) {f : α → E} (I : ℝ≥0) (hfm : AEStronglyMeasurable f μ)
(hbounded : ∀ᶠ i in l, ∫⁻ x in φ i, ‖f x‖ₑ ∂μ ≤ I) : Integrable f μ :=
hφ.integrable_of_lintegral_enorm_bounded I hfm
(by simpa only [ENNReal.ofReal_coe_nnreal] using hbounded)
@[deprecated (since := "2025-01-22")]
alias AECover.integrable_of_lintegral_nnnorm_bounded' :=
AECover.integrable_of_lintegral_enorm_bounded'
theorem AECover.integrable_of_lintegral_enorm_tendsto' [l.NeBot] [l.IsCountablyGenerated]
{φ : ι → Set α} (hφ : AECover μ l φ) {f : α → E} (I : ℝ≥0) (hfm : AEStronglyMeasurable f μ)
| (htendsto : Tendsto (fun i => ∫⁻ x in φ i, ‖f x‖ₑ ∂μ) l (𝓝 I)) : Integrable f μ :=
hφ.integrable_of_lintegral_enorm_tendsto I hfm
(by simpa only [ENNReal.ofReal_coe_nnreal] using htendsto)
@[deprecated (since := "2025-01-22")]
| Mathlib/MeasureTheory/Integral/IntegralEqImproper.lean | 430 | 434 |
/-
Copyright (c) 2017 Johannes Hölzl. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Johannes Hölzl
-/
import Mathlib.SetTheory.Cardinal.Finite
import Mathlib.Topology.Algebra.InfiniteSum.Basic
import Mathlib.Topology.UniformSpace.Cauchy
import Mathlib.Topology.Algebra.IsUniformGroup.Defs
import Mathlib.Topology.Algebra.Group.Pointwise
/-!
# Infinite sums and products in topological groups
Lemmas on topological sums in groups (as opposed to monoids).
-/
noncomputable section
open Filter Finset Function
open scoped Topology
variable {α β γ : Type*}
section IsTopologicalGroup
variable [CommGroup α] [TopologicalSpace α] [IsTopologicalGroup α]
variable {f g : β → α} {a a₁ a₂ : α}
-- `by simpa using` speeds up elaboration. Why?
@[to_additive]
theorem HasProd.inv (h : HasProd f a) : HasProd (fun b ↦ (f b)⁻¹) a⁻¹ := by
simpa only using h.map (MonoidHom.id α)⁻¹ continuous_inv
@[to_additive]
theorem Multipliable.inv (hf : Multipliable f) : Multipliable fun b ↦ (f b)⁻¹ :=
hf.hasProd.inv.multipliable
@[to_additive]
theorem Multipliable.of_inv (hf : Multipliable fun b ↦ (f b)⁻¹) : Multipliable f := by
simpa only [inv_inv] using hf.inv
@[to_additive]
theorem multipliable_inv_iff : (Multipliable fun b ↦ (f b)⁻¹) ↔ Multipliable f :=
⟨Multipliable.of_inv, Multipliable.inv⟩
@[to_additive]
theorem HasProd.div (hf : HasProd f a₁) (hg : HasProd g a₂) :
HasProd (fun b ↦ f b / g b) (a₁ / a₂) := by
simp only [div_eq_mul_inv]
exact hf.mul hg.inv
@[to_additive]
theorem Multipliable.div (hf : Multipliable f) (hg : Multipliable g) :
Multipliable fun b ↦ f b / g b :=
(hf.hasProd.div hg.hasProd).multipliable
@[to_additive]
theorem Multipliable.trans_div (hg : Multipliable g) (hfg : Multipliable fun b ↦ f b / g b) :
Multipliable f := by
simpa only [div_mul_cancel] using hfg.mul hg
@[to_additive]
theorem multipliable_iff_of_multipliable_div (hfg : Multipliable fun b ↦ f b / g b) :
Multipliable f ↔ Multipliable g :=
⟨fun hf ↦ hf.trans_div <| by simpa only [inv_div] using hfg.inv, fun hg ↦ hg.trans_div hfg⟩
@[to_additive]
theorem HasProd.update (hf : HasProd f a₁) (b : β) [DecidableEq β] (a : α) :
HasProd (update f b a) (a / f b * a₁) := by
convert (hasProd_ite_eq b (a / f b)).mul hf with b'
by_cases h : b' = b
· rw [h, update_self]
simp [eq_self_iff_true, if_true, sub_add_cancel]
· simp only [h, update_of_ne, if_false, Ne, one_mul, not_false_iff]
@[to_additive]
theorem Multipliable.update (hf : Multipliable f) (b : β) [DecidableEq β] (a : α) :
Multipliable (update f b a) :=
(hf.hasProd.update b a).multipliable
@[to_additive]
theorem HasProd.hasProd_compl_iff {s : Set β} (hf : HasProd (f ∘ (↑) : s → α) a₁) :
HasProd (f ∘ (↑) : ↑sᶜ → α) a₂ ↔ HasProd f (a₁ * a₂) := by
refine ⟨fun h ↦ hf.mul_compl h, fun h ↦ ?_⟩
rw [hasProd_subtype_iff_mulIndicator] at hf ⊢
rw [Set.mulIndicator_compl]
simpa only [div_eq_mul_inv, mul_inv_cancel_comm] using h.div hf
@[to_additive]
theorem HasProd.hasProd_iff_compl {s : Set β} (hf : HasProd (f ∘ (↑) : s → α) a₁) :
HasProd f a₂ ↔ HasProd (f ∘ (↑) : ↑sᶜ → α) (a₂ / a₁) :=
Iff.symm <| hf.hasProd_compl_iff.trans <| by rw [mul_div_cancel]
@[to_additive]
theorem Multipliable.multipliable_compl_iff {s : Set β} (hf : Multipliable (f ∘ (↑) : s → α)) :
Multipliable (f ∘ (↑) : ↑sᶜ → α) ↔ Multipliable f where
mp := fun ⟨_, ha⟩ ↦ (hf.hasProd.hasProd_compl_iff.1 ha).multipliable
| mpr := fun ⟨_, ha⟩ ↦ (hf.hasProd.hasProd_iff_compl.1 ha).multipliable
@[to_additive]
| Mathlib/Topology/Algebra/InfiniteSum/Group.lean | 100 | 102 |
/-
Copyright (c) 2021 Yaël Dillies. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yaël Dillies, Yury Kudryashov
-/
import Mathlib.Data.Finset.Fin
import Mathlib.Order.Interval.Finset.Nat
import Mathlib.Order.Interval.Set.Fin
/-!
# Finite intervals in `Fin n`
This file proves that `Fin n` is a `LocallyFiniteOrder` and calculates the cardinality of its
intervals as Finsets and Fintypes.
-/
assert_not_exists MonoidWithZero
open Finset Function
namespace Fin
variable (n : ℕ)
/-!
### Locally finite order etc instances
-/
instance instLocallyFiniteOrder (n : ℕ) : LocallyFiniteOrder (Fin n) where
finsetIcc a b := attachFin (Icc a b) fun x hx ↦ (mem_Icc.mp hx).2.trans_lt b.2
finsetIco a b := attachFin (Ico a b) fun x hx ↦ (mem_Ico.mp hx).2.trans b.2
finsetIoc a b := attachFin (Ioc a b) fun x hx ↦ (mem_Ioc.mp hx).2.trans_lt b.2
finsetIoo a b := attachFin (Ioo a b) fun x hx ↦ (mem_Ioo.mp hx).2.trans b.2
finset_mem_Icc a b := by simp
finset_mem_Ico a b := by simp
finset_mem_Ioc a b := by simp
finset_mem_Ioo a b := by simp
instance instLocallyFiniteOrderBot : ∀ n, LocallyFiniteOrderBot (Fin n)
| 0 => IsEmpty.toLocallyFiniteOrderBot
| _ + 1 => inferInstance
instance instLocallyFiniteOrderTop : ∀ n, LocallyFiniteOrderTop (Fin n)
| 0 => IsEmpty.toLocallyFiniteOrderTop
| _ + 1 => inferInstance
variable {n}
variable {m : ℕ} (a b : Fin n)
@[simp]
theorem attachFin_Icc :
attachFin (Icc a b) (fun _x hx ↦ (mem_Icc.mp hx).2.trans_lt b.2) = Icc a b :=
rfl
@[simp]
theorem attachFin_Ico :
attachFin (Ico a b) (fun _x hx ↦ (mem_Ico.mp hx).2.trans b.2) = Ico a b :=
rfl
@[simp]
theorem attachFin_Ioc :
attachFin (Ioc a b) (fun _x hx ↦ (mem_Ioc.mp hx).2.trans_lt b.2) = Ioc a b :=
rfl
@[simp]
theorem attachFin_Ioo :
attachFin (Ioo a b) (fun _x hx ↦ (mem_Ioo.mp hx).2.trans b.2) = Ioo a b :=
rfl
@[simp]
theorem attachFin_uIcc :
attachFin (uIcc a b) (fun _x hx ↦ (mem_Icc.mp hx).2.trans_lt (max a b).2) = uIcc a b :=
rfl
@[simp]
theorem attachFin_Ico_eq_Ici : attachFin (Ico a n) (fun _x hx ↦ (mem_Ico.mp hx).2) = Ici a := by
ext; simp
@[simp]
theorem attachFin_Ioo_eq_Ioi : attachFin (Ioo a n) (fun _x hx ↦ (mem_Ioo.mp hx).2) = Ioi a := by
ext; simp
@[simp]
theorem attachFin_Iic : attachFin (Iic a) (fun _x hx ↦ (mem_Iic.mp hx).trans_lt a.2) = Iic a := by
ext; simp
@[simp]
theorem attachFin_Iio : attachFin (Iio a) (fun _x hx ↦ (mem_Iio.mp hx).trans a.2) = Iio a := by
ext; simp
section deprecated
set_option linter.deprecated false in
@[deprecated attachFin_Icc (since := "2025-04-06")]
theorem Icc_eq_finset_subtype : Icc a b = (Icc (a : ℕ) b).fin n := attachFin_eq_fin _
set_option linter.deprecated false in
@[deprecated attachFin_Ico (since := "2025-04-06")]
theorem Ico_eq_finset_subtype : Ico a b = (Ico (a : ℕ) b).fin n := attachFin_eq_fin _
set_option linter.deprecated false in
@[deprecated attachFin_Ioc (since := "2025-04-06")]
theorem Ioc_eq_finset_subtype : Ioc a b = (Ioc (a : ℕ) b).fin n := attachFin_eq_fin _
set_option linter.deprecated false in
@[deprecated attachFin_Ioo (since := "2025-04-06")]
theorem Ioo_eq_finset_subtype : Ioo a b = (Ioo (a : ℕ) b).fin n := attachFin_eq_fin _
set_option linter.deprecated false in
@[deprecated attachFin_uIcc (since := "2025-04-06")]
theorem uIcc_eq_finset_subtype : uIcc a b = (uIcc (a : ℕ) b).fin n := Icc_eq_finset_subtype _ _
set_option linter.deprecated false in
@[deprecated attachFin_Ico_eq_Ici (since := "2025-04-06")]
theorem Ici_eq_finset_subtype : Ici a = (Ico (a : ℕ) n).fin n := by ext; simp
set_option linter.deprecated false in
@[deprecated attachFin_Ioo_eq_Ioi (since := "2025-04-06")]
theorem Ioi_eq_finset_subtype : Ioi a = (Ioo (a : ℕ) n).fin n := by ext; simp
set_option linter.deprecated false in
@[deprecated attachFin_Iic (since := "2025-04-06")]
theorem Iic_eq_finset_subtype : Iic b = (Iic (b : ℕ)).fin n := by ext; simp
set_option linter.deprecated false in
@[deprecated attachFin_Iio (since := "2025-04-06")]
theorem Iio_eq_finset_subtype : Iio b = (Iio (b : ℕ)).fin n := by ext; simp
end deprecated
section val
/-!
### Images under `Fin.val`
-/
@[simp]
theorem finsetImage_val_Icc : (Icc a b).image val = Icc (a : ℕ) b :=
image_val_attachFin _
@[simp]
theorem finsetImage_val_Ico : (Ico a b).image val = Ico (a : ℕ) b :=
image_val_attachFin _
@[simp]
theorem finsetImage_val_Ioc : (Ioc a b).image val = Ioc (a : ℕ) b :=
image_val_attachFin _
@[simp]
theorem finsetImage_val_Ioo : (Ioo a b).image val = Ioo (a : ℕ) b :=
image_val_attachFin _
@[simp]
theorem finsetImage_val_uIcc : (uIcc a b).image val = uIcc (a : ℕ) b :=
finsetImage_val_Icc _ _
@[simp]
theorem finsetImage_val_Ici : (Ici a).image val = Ico (a : ℕ) n := by simp [← coe_inj]
@[simp]
theorem finsetImage_val_Ioi : (Ioi a).image val = Ioo (a : ℕ) n := by simp [← coe_inj]
@[simp]
theorem finsetImage_val_Iic : (Iic a).image val = Iic (a : ℕ) := by simp [← coe_inj]
@[simp]
theorem finsetImage_val_Iio : (Iio b).image val = Iio (b : ℕ) := by simp [← coe_inj]
/-!
### `Finset.map` along `Fin.valEmbedding`
-/
@[simp]
theorem map_valEmbedding_Icc : (Icc a b).map Fin.valEmbedding = Icc (a : ℕ) b :=
map_valEmbedding_attachFin _
@[simp]
theorem map_valEmbedding_Ico : (Ico a b).map Fin.valEmbedding = Ico (a : ℕ) b :=
map_valEmbedding_attachFin _
@[simp]
theorem map_valEmbedding_Ioc : (Ioc a b).map Fin.valEmbedding = Ioc (a : ℕ) b :=
map_valEmbedding_attachFin _
@[simp]
theorem map_valEmbedding_Ioo : (Ioo a b).map Fin.valEmbedding = Ioo (a : ℕ) b :=
map_valEmbedding_attachFin _
@[simp]
theorem map_valEmbedding_uIcc : (uIcc a b).map valEmbedding = uIcc (a : ℕ) b :=
map_valEmbedding_Icc _ _
@[deprecated (since := "2025-04-08")]
alias map_subtype_embedding_uIcc := map_valEmbedding_uIcc
@[simp]
theorem map_valEmbedding_Ici : (Ici a).map Fin.valEmbedding = Ico (a : ℕ) n := by
rw [← attachFin_Ico_eq_Ici, map_valEmbedding_attachFin]
@[simp]
theorem map_valEmbedding_Ioi : (Ioi a).map Fin.valEmbedding = Ioo (a : ℕ) n := by
rw [← attachFin_Ioo_eq_Ioi, map_valEmbedding_attachFin]
@[simp]
theorem map_valEmbedding_Iic : (Iic a).map Fin.valEmbedding = Iic (a : ℕ) := by
rw [← attachFin_Iic, map_valEmbedding_attachFin]
@[simp]
theorem map_valEmbedding_Iio : (Iio a).map Fin.valEmbedding = Iio (a : ℕ) := by
rw [← attachFin_Iio, map_valEmbedding_attachFin]
end val
section castLE
/-!
### Image under `Fin.castLE`
-/
@[simp]
theorem finsetImage_castLE_Icc (h : n ≤ m) :
(Icc a b).image (castLE h) = Icc (castLE h a) (castLE h b) := by simp [← coe_inj]
@[simp]
theorem finsetImage_castLE_Ico (h : n ≤ m) :
(Ico a b).image (castLE h) = Ico (castLE h a) (castLE h b) := by simp [← coe_inj]
@[simp]
theorem finsetImage_castLE_Ioc (h : n ≤ m) :
(Ioc a b).image (castLE h) = Ioc (castLE h a) (castLE h b) := by simp [← coe_inj]
@[simp]
theorem finsetImage_castLE_Ioo (h : n ≤ m) :
(Ioo a b).image (castLE h) = Ioo (castLE h a) (castLE h b) := by simp [← coe_inj]
@[simp]
theorem finsetImage_castLE_uIcc (h : n ≤ m) :
(uIcc a b).image (castLE h) = uIcc (castLE h a) (castLE h b) := by simp [← coe_inj]
@[simp]
theorem finsetImage_castLE_Iic (h : n ≤ m) :
(Iic a).image (castLE h) = Iic (castLE h a) := by simp [← coe_inj]
@[simp]
theorem finsetImage_castLE_Iio (h : n ≤ m) :
(Iio a).image (castLE h) = Iio (castLE h a) := by simp [← coe_inj]
|
/-!
| Mathlib/Order/Interval/Finset/Fin.lean | 247 | 248 |
/-
Copyright (c) 2022 Yaël Dillies, Bhavik Mehta. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yaël Dillies, Bhavik Mehta
-/
import Mathlib.Combinatorics.Additive.AP.Three.Defs
import Mathlib.Combinatorics.Additive.Corner.Defs
import Mathlib.Combinatorics.SimpleGraph.Triangle.Removal
import Mathlib.Combinatorics.SimpleGraph.Triangle.Tripartite
/-!
# The corners theorem and Roth's theorem
This file proves the corners theorem and Roth's theorem on arithmetic progressions of length three.
## References
* [Yaël Dillies, Bhavik Mehta, *Formalising Szemerédi’s Regularity Lemma in Lean*][srl_itp]
* [Wikipedia, *Corners theorem*](https://en.wikipedia.org/wiki/Corners_theorem)
-/
open Finset SimpleGraph TripartiteFromTriangles
open Function hiding graph
open Fintype (card)
variable {G : Type*} [AddCommGroup G] {A : Finset (G × G)} {a b c : G} {n : ℕ} {ε : ℝ}
namespace Corners
/-- The triangle indices for the proof of the corners theorem construction. -/
private def triangleIndices (A : Finset (G × G)) : Finset (G × G × G) :=
A.map ⟨fun (a, b) ↦ (a, b, a + b), by rintro ⟨x₁, x₂⟩ ⟨y₁, y₂⟩ ⟨⟩; rfl⟩
@[simp]
private lemma mk_mem_triangleIndices : (a, b, c) ∈ triangleIndices A ↔ (a, b) ∈ A ∧ c = a + b := by
simp only [triangleIndices, Prod.ext_iff, mem_map, Embedding.coeFn_mk, exists_prop, Prod.exists,
eq_comm]
refine ⟨?_, fun h ↦ ⟨_, _, h.1, rfl, rfl, h.2⟩⟩
rintro ⟨_, _, h₁, rfl, rfl, h₂⟩
exact ⟨h₁, h₂⟩
@[simp] private lemma card_triangleIndices : #(triangleIndices A) = #A := card_map _
private instance triangleIndices.instExplicitDisjoint : ExplicitDisjoint (triangleIndices A) := by
constructor
all_goals
simp only [mk_mem_triangleIndices, Prod.mk_inj, exists_prop, forall_exists_index, and_imp]
rintro a b _ a' - rfl - h'
simp [Fin.val_eq_val, *] at * <;> assumption
private lemma noAccidental (hs : IsCornerFree (A : Set (G × G))) :
| NoAccidental (triangleIndices A) where
eq_or_eq_or_eq a a' b b' c c' ha hb hc := by
simp only [mk_mem_triangleIndices] at ha hb hc
exact .inl <| hs ⟨hc.1, hb.1, ha.1, hb.2.symm.trans ha.2⟩
| Mathlib/Combinatorics/Additive/Corner/Roth.lean | 52 | 56 |
/-
Copyright (c) 2020 Joseph Myers. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Joseph Myers, Manuel Candales
-/
import Mathlib.Analysis.InnerProductSpace.Subspace
import Mathlib.Analysis.SpecialFunctions.Trigonometric.Inverse
/-!
# Angles between vectors
This file defines unoriented angles in real inner product spaces.
## Main definitions
* `InnerProductGeometry.angle` is the undirected angle between two vectors.
## TODO
Prove the triangle inequality for the angle.
-/
assert_not_exists HasFDerivAt ConformalAt
noncomputable section
open Real Set
open Real
open RealInnerProductSpace
namespace InnerProductGeometry
variable {V : Type*} [NormedAddCommGroup V] [InnerProductSpace ℝ V] {x y : V}
/-- The undirected angle between two vectors. If either vector is 0,
this is π/2. See `Orientation.oangle` for the corresponding oriented angle
definition. -/
def angle (x y : V) : ℝ :=
Real.arccos (⟪x, y⟫ / (‖x‖ * ‖y‖))
theorem continuousAt_angle {x : V × V} (hx1 : x.1 ≠ 0) (hx2 : x.2 ≠ 0) :
ContinuousAt (fun y : V × V => angle y.1 y.2) x := by
unfold angle
fun_prop (disch := simp [*])
theorem angle_smul_smul {c : ℝ} (hc : c ≠ 0) (x y : V) : angle (c • x) (c • y) = angle x y := by
have : c * c ≠ 0 := mul_ne_zero hc hc
rw [angle, angle, real_inner_smul_left, inner_smul_right, norm_smul, norm_smul, Real.norm_eq_abs,
mul_mul_mul_comm _ ‖x‖, abs_mul_abs_self, ← mul_assoc c c, mul_div_mul_left _ _ this]
@[simp]
theorem _root_.LinearIsometry.angle_map {E F : Type*} [NormedAddCommGroup E] [NormedAddCommGroup F]
[InnerProductSpace ℝ E] [InnerProductSpace ℝ F] (f : E →ₗᵢ[ℝ] F) (u v : E) :
| angle (f u) (f v) = angle u v := by
rw [angle, angle, f.inner_map_map, f.norm_map, f.norm_map]
@[simp, norm_cast]
| Mathlib/Geometry/Euclidean/Angle/Unoriented/Basic.lean | 57 | 60 |
/-
Copyright (c) 2020 Sébastien Gouëzel. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Sébastien Gouëzel
-/
import Mathlib.Analysis.Calculus.Deriv.Basic
import Mathlib.Analysis.Calculus.ContDiff.Defs
/-!
# One-dimensional iterated derivatives
We define the `n`-th derivative of a function `f : 𝕜 → F` as a function
`iteratedDeriv n f : 𝕜 → F`, as well as a version on domains `iteratedDerivWithin n f s : 𝕜 → F`,
and prove their basic properties.
## Main definitions and results
Let `𝕜` be a nontrivially normed field, and `F` a normed vector space over `𝕜`. Let `f : 𝕜 → F`.
* `iteratedDeriv n f` is the `n`-th derivative of `f`, seen as a function from `𝕜` to `F`.
It is defined as the `n`-th Fréchet derivative (which is a multilinear map) applied to the
vector `(1, ..., 1)`, to take advantage of all the existing framework, but we show that it
coincides with the naive iterative definition.
* `iteratedDeriv_eq_iterate` states that the `n`-th derivative of `f` is obtained by starting
from `f` and differentiating it `n` times.
* `iteratedDerivWithin n f s` is the `n`-th derivative of `f` within the domain `s`. It only
behaves well when `s` has the unique derivative property.
* `iteratedDerivWithin_eq_iterate` states that the `n`-th derivative of `f` in the domain `s` is
obtained by starting from `f` and differentiating it `n` times within `s`. This only holds when
`s` has the unique derivative property.
## Implementation details
The results are deduced from the corresponding results for the more general (multilinear) iterated
Fréchet derivative. For this, we write `iteratedDeriv n f` as the composition of
`iteratedFDeriv 𝕜 n f` and a continuous linear equiv. As continuous linear equivs respect
differentiability and commute with differentiation, this makes it possible to prove readily that
the derivative of the `n`-th derivative is the `n+1`-th derivative in `iteratedDerivWithin_succ`,
by translating the corresponding result `iteratedFDerivWithin_succ_apply_left` for the
iterated Fréchet derivative.
-/
noncomputable section
open scoped Topology
open Filter Asymptotics Set
variable {𝕜 : Type*} [NontriviallyNormedField 𝕜]
variable {F : Type*} [NormedAddCommGroup F] [NormedSpace 𝕜 F]
/-- The `n`-th iterated derivative of a function from `𝕜` to `F`, as a function from `𝕜` to `F`. -/
def iteratedDeriv (n : ℕ) (f : 𝕜 → F) (x : 𝕜) : F :=
(iteratedFDeriv 𝕜 n f x : (Fin n → 𝕜) → F) fun _ : Fin n => 1
/-- The `n`-th iterated derivative of a function from `𝕜` to `F` within a set `s`, as a function
from `𝕜` to `F`. -/
def iteratedDerivWithin (n : ℕ) (f : 𝕜 → F) (s : Set 𝕜) (x : 𝕜) : F :=
(iteratedFDerivWithin 𝕜 n f s x : (Fin n → 𝕜) → F) fun _ : Fin n => 1
variable {n : ℕ} {f : 𝕜 → F} {s : Set 𝕜} {x : 𝕜}
theorem iteratedDerivWithin_univ : iteratedDerivWithin n f univ = iteratedDeriv n f := by
ext x
rw [iteratedDerivWithin, iteratedDeriv, iteratedFDerivWithin_univ]
/-! ### Properties of the iterated derivative within a set -/
theorem iteratedDerivWithin_eq_iteratedFDerivWithin : iteratedDerivWithin n f s x =
(iteratedFDerivWithin 𝕜 n f s x : (Fin n → 𝕜) → F) fun _ : Fin n => 1 :=
rfl
/-- Write the iterated derivative as the composition of a continuous linear equiv and the iterated
Fréchet derivative -/
theorem iteratedDerivWithin_eq_equiv_comp : iteratedDerivWithin n f s =
(ContinuousMultilinearMap.piFieldEquiv 𝕜 (Fin n) F).symm ∘ iteratedFDerivWithin 𝕜 n f s := by
ext x; rfl
/-- Write the iterated Fréchet derivative as the composition of a continuous linear equiv and the
iterated derivative. -/
theorem iteratedFDerivWithin_eq_equiv_comp :
iteratedFDerivWithin 𝕜 n f s =
ContinuousMultilinearMap.piFieldEquiv 𝕜 (Fin n) F ∘ iteratedDerivWithin n f s := by
rw [iteratedDerivWithin_eq_equiv_comp, ← Function.comp_assoc, LinearIsometryEquiv.self_comp_symm,
Function.id_comp]
/-- The `n`-th Fréchet derivative applied to a vector `(m 0, ..., m (n-1))` is the derivative
multiplied by the product of the `m i`s. -/
theorem iteratedFDerivWithin_apply_eq_iteratedDerivWithin_mul_prod {m : Fin n → 𝕜} :
(iteratedFDerivWithin 𝕜 n f s x : (Fin n → 𝕜) → F) m =
(∏ i, m i) • iteratedDerivWithin n f s x := by
rw [iteratedDerivWithin_eq_iteratedFDerivWithin, ← ContinuousMultilinearMap.map_smul_univ]
simp
theorem norm_iteratedFDerivWithin_eq_norm_iteratedDerivWithin :
‖iteratedFDerivWithin 𝕜 n f s x‖ = ‖iteratedDerivWithin n f s x‖ := by
rw [iteratedDerivWithin_eq_equiv_comp, Function.comp_apply, LinearIsometryEquiv.norm_map]
@[simp]
theorem iteratedDerivWithin_zero : iteratedDerivWithin 0 f s = f := by
ext x
simp [iteratedDerivWithin]
@[simp]
theorem iteratedDerivWithin_one {x : 𝕜} :
iteratedDerivWithin 1 f s x = derivWithin f s x := by
by_cases hsx : AccPt x (𝓟 s)
· simp only [iteratedDerivWithin, iteratedFDerivWithin_one_apply hsx.uniqueDiffWithinAt,
derivWithin]
· simp [derivWithin_zero_of_not_accPt hsx, iteratedDerivWithin, iteratedFDerivWithin,
fderivWithin_zero_of_not_accPt hsx]
/-- If the first `n` derivatives within a set of a function are continuous, and its first `n-1`
derivatives are differentiable, then the function is `C^n`. This is not an equivalence in general,
but this is an equivalence when the set has unique derivatives, see
`contDiffOn_iff_continuousOn_differentiableOn_deriv`. -/
theorem contDiffOn_of_continuousOn_differentiableOn_deriv {n : ℕ∞}
(Hcont : ∀ m : ℕ, (m : ℕ∞) ≤ n → ContinuousOn (fun x => iteratedDerivWithin m f s x) s)
(Hdiff : ∀ m : ℕ, (m : ℕ∞) < n → DifferentiableOn 𝕜 (fun x => iteratedDerivWithin m f s x) s) :
ContDiffOn 𝕜 n f s := by
apply contDiffOn_of_continuousOn_differentiableOn
· simpa only [iteratedFDerivWithin_eq_equiv_comp, LinearIsometryEquiv.comp_continuousOn_iff]
· simpa only [iteratedFDerivWithin_eq_equiv_comp, LinearIsometryEquiv.comp_differentiableOn_iff]
/-- To check that a function is `n` times continuously differentiable, it suffices to check that its
first `n` derivatives are differentiable. This is slightly too strong as the condition we
require on the `n`-th derivative is differentiability instead of continuity, but it has the
advantage of avoiding the discussion of continuity in the proof (and for `n = ∞` this is optimal).
-/
theorem contDiffOn_of_differentiableOn_deriv {n : ℕ∞}
(h : ∀ m : ℕ, (m : ℕ∞) ≤ n → DifferentiableOn 𝕜 (iteratedDerivWithin m f s) s) :
ContDiffOn 𝕜 n f s := by
apply contDiffOn_of_differentiableOn
simpa only [iteratedFDerivWithin_eq_equiv_comp, LinearIsometryEquiv.comp_differentiableOn_iff]
/-- On a set with unique derivatives, a `C^n` function has derivatives up to `n` which are
continuous. -/
theorem ContDiffOn.continuousOn_iteratedDerivWithin
{n : WithTop ℕ∞} {m : ℕ} (h : ContDiffOn 𝕜 n f s)
(hmn : m ≤ n) (hs : UniqueDiffOn 𝕜 s) : ContinuousOn (iteratedDerivWithin m f s) s := by
simpa only [iteratedDerivWithin_eq_equiv_comp, LinearIsometryEquiv.comp_continuousOn_iff] using
| h.continuousOn_iteratedFDerivWithin hmn hs
theorem ContDiffWithinAt.differentiableWithinAt_iteratedDerivWithin {n : WithTop ℕ∞} {m : ℕ}
(h : ContDiffWithinAt 𝕜 n f s x) (hmn : m < n) (hs : UniqueDiffOn 𝕜 (insert x s)) :
DifferentiableWithinAt 𝕜 (iteratedDerivWithin m f s) s x := by
| Mathlib/Analysis/Calculus/IteratedDeriv/Defs.lean | 142 | 146 |
/-
Copyright (c) 2020 Sébastien Gouëzel. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Sébastien Gouëzel
-/
import Mathlib.Algebra.BigOperators.Group.Finset.Powerset
import Mathlib.Algebra.NoZeroSMulDivisors.Pi
import Mathlib.Data.Finset.Sort
import Mathlib.Data.Fintype.BigOperators
import Mathlib.Data.Fintype.Powerset
import Mathlib.LinearAlgebra.Pi
import Mathlib.Logic.Equiv.Fintype
import Mathlib.Tactic.Abel
/-!
# Multilinear maps
We define multilinear maps as maps from `∀ (i : ι), M₁ i` to `M₂` which are linear in each
coordinate. Here, `M₁ i` and `M₂` are modules over a ring `R`, and `ι` is an arbitrary type
(although some statements will require it to be a fintype). This space, denoted by
`MultilinearMap R M₁ M₂`, inherits a module structure by pointwise addition and multiplication.
## Main definitions
* `MultilinearMap R M₁ M₂` is the space of multilinear maps from `∀ (i : ι), M₁ i` to `M₂`.
* `f.map_update_smul` is the multiplicativity of the multilinear map `f` along each coordinate.
* `f.map_update_add` is the additivity of the multilinear map `f` along each coordinate.
* `f.map_smul_univ` expresses the multiplicativity of `f` over all coordinates at the same time,
writing `f (fun i => c i • m i)` as `(∏ i, c i) • f m`.
* `f.map_add_univ` expresses the additivity of `f` over all coordinates at the same time, writing
`f (m + m')` as the sum over all subsets `s` of `ι` of `f (s.piecewise m m')`.
* `f.map_sum` expresses `f (Σ_{j₁} g₁ j₁, ..., Σ_{jₙ} gₙ jₙ)` as the sum of
`f (g₁ (r 1), ..., gₙ (r n))` where `r` ranges over all possible functions.
See `Mathlib.LinearAlgebra.Multilinear.Curry` for the currying of multilinear maps.
## Implementation notes
Expressing that a map is linear along the `i`-th coordinate when all other coordinates are fixed
can be done in two (equivalent) different ways:
* fixing a vector `m : ∀ (j : ι - i), M₁ j.val`, and then choosing separately the `i`-th coordinate
* fixing a vector `m : ∀j, M₁ j`, and then modifying its `i`-th coordinate
The second way is more artificial as the value of `m` at `i` is not relevant, but it has the
advantage of avoiding subtype inclusion issues. This is the definition we use, based on
`Function.update` that allows to change the value of `m` at `i`.
Note that the use of `Function.update` requires a `DecidableEq ι` term to appear somewhere in the
statement of `MultilinearMap.map_update_add'` and `MultilinearMap.map_update_smul'`.
Three possible choices are:
1. Requiring `DecidableEq ι` as an argument to `MultilinearMap` (as we did originally).
2. Using `Classical.decEq ι` in the statement of `map_add'` and `map_smul'`.
3. Quantifying over all possible `DecidableEq ι` instances in the statement of `map_add'` and
`map_smul'`.
Option 1 works fine, but puts unnecessary constraints on the user
(the zero map certainly does not need decidability).
Option 2 looks great at first, but in the common case when `ι = Fin n`
it introduces non-defeq decidability instance diamonds
within the context of proving `map_update_add'` and `map_update_smul'`,
of the form `Fin.decidableEq n = Classical.decEq (Fin n)`.
Option 3 of course does something similar, but of the form `Fin.decidableEq n = _inst`,
which is much easier to clean up since `_inst` is a free variable
and so the equality can just be substituted.
-/
open Fin Function Finset Set
universe uR uS uι v v' v₁ v₂ v₃
variable {R : Type uR} {S : Type uS} {ι : Type uι} {n : ℕ}
{M : Fin n.succ → Type v} {M₁ : ι → Type v₁} {M₂ : Type v₂} {M₃ : Type v₃} {M' : Type v'}
-- Don't generate injectivity lemmas, which the `simpNF` linter will time out on.
set_option genInjectivity false in
/-- Multilinear maps over the ring `R`, from `∀ i, M₁ i` to `M₂` where `M₁ i` and `M₂` are modules
over `R`. -/
structure MultilinearMap (R : Type uR) {ι : Type uι} (M₁ : ι → Type v₁) (M₂ : Type v₂) [Semiring R]
[∀ i, AddCommMonoid (M₁ i)] [AddCommMonoid M₂] [∀ i, Module R (M₁ i)] [Module R M₂] where
/-- The underlying multivariate function of a multilinear map. -/
toFun : (∀ i, M₁ i) → M₂
/-- A multilinear map is additive in every argument. -/
map_update_add' :
∀ [DecidableEq ι] (m : ∀ i, M₁ i) (i : ι) (x y : M₁ i),
toFun (update m i (x + y)) = toFun (update m i x) + toFun (update m i y)
/-- A multilinear map is compatible with scalar multiplication in every argument. -/
map_update_smul' :
∀ [DecidableEq ι] (m : ∀ i, M₁ i) (i : ι) (c : R) (x : M₁ i),
toFun (update m i (c • x)) = c • toFun (update m i x)
namespace MultilinearMap
section Semiring
variable [Semiring R] [∀ i, AddCommMonoid (M i)] [∀ i, AddCommMonoid (M₁ i)] [AddCommMonoid M₂]
[AddCommMonoid M₃] [AddCommMonoid M'] [∀ i, Module R (M i)] [∀ i, Module R (M₁ i)] [Module R M₂]
[Module R M₃] [Module R M'] (f f' : MultilinearMap R M₁ M₂)
instance : FunLike (MultilinearMap R M₁ M₂) (∀ i, M₁ i) M₂ where
coe f := f.toFun
coe_injective' f g h := by cases f; cases g; cases h; rfl
initialize_simps_projections MultilinearMap (toFun → apply)
/-- Constructor for `MultilinearMap R M₁ M₂` when the
index type `ι` is already endowed with a `DecidableEq` instance. -/
@[simps]
def mk' [DecidableEq ι] (f : (∀ i, M₁ i) → M₂)
(h₁ : ∀ (m : ∀ i, M₁ i) (i : ι) (x y : M₁ i),
f (update m i (x + y)) = f (update m i x) + f (update m i y) := by aesop)
(h₂ : ∀ (m : ∀ i, M₁ i) (i : ι) (c : R) (x : M₁ i),
f (update m i (c • x)) = c • f (update m i x) := by aesop) :
MultilinearMap R M₁ M₂ where
toFun := f
map_update_add' m i x y := by convert h₁ m i x y
map_update_smul' m i c x := by convert h₂ m i c x
@[simp]
theorem toFun_eq_coe : f.toFun = ⇑f :=
rfl
@[simp]
theorem coe_mk (f : (∀ i, M₁ i) → M₂) (h₁ h₂) : ⇑(⟨f, h₁, h₂⟩ : MultilinearMap R M₁ M₂) = f :=
rfl
theorem congr_fun {f g : MultilinearMap R M₁ M₂} (h : f = g) (x : ∀ i, M₁ i) : f x = g x :=
DFunLike.congr_fun h x
nonrec theorem congr_arg (f : MultilinearMap R M₁ M₂) {x y : ∀ i, M₁ i} (h : x = y) : f x = f y :=
DFunLike.congr_arg f h
theorem coe_injective : Injective ((↑) : MultilinearMap R M₁ M₂ → (∀ i, M₁ i) → M₂) :=
DFunLike.coe_injective
@[norm_cast]
theorem coe_inj {f g : MultilinearMap R M₁ M₂} : (f : (∀ i, M₁ i) → M₂) = g ↔ f = g :=
DFunLike.coe_fn_eq
@[ext]
theorem ext {f f' : MultilinearMap R M₁ M₂} (H : ∀ x, f x = f' x) : f = f' :=
DFunLike.ext _ _ H
@[simp]
theorem mk_coe (f : MultilinearMap R M₁ M₂) (h₁ h₂) :
(⟨f, h₁, h₂⟩ : MultilinearMap R M₁ M₂) = f := rfl
@[simp]
protected theorem map_update_add [DecidableEq ι] (m : ∀ i, M₁ i) (i : ι) (x y : M₁ i) :
f (update m i (x + y)) = f (update m i x) + f (update m i y) :=
f.map_update_add' m i x y
@[deprecated (since := "2024-11-03")] protected alias map_add := MultilinearMap.map_update_add
@[deprecated (since := "2024-11-03")] protected alias map_add' := MultilinearMap.map_update_add
/-- Earlier, this name was used by what is now called `MultilinearMap.map_update_smul_left`. -/
@[simp]
protected theorem map_update_smul [DecidableEq ι] (m : ∀ i, M₁ i) (i : ι) (c : R) (x : M₁ i) :
f (update m i (c • x)) = c • f (update m i x) :=
f.map_update_smul' m i c x
@[deprecated (since := "2024-11-03")] protected alias map_smul := MultilinearMap.map_update_smul
@[deprecated (since := "2024-11-03")] protected alias map_smul' := MultilinearMap.map_update_smul
theorem map_coord_zero {m : ∀ i, M₁ i} (i : ι) (h : m i = 0) : f m = 0 := by
classical
have : (0 : R) • (0 : M₁ i) = 0 := by simp
rw [← update_eq_self i m, h, ← this, f.map_update_smul, zero_smul]
@[simp]
theorem map_update_zero [DecidableEq ι] (m : ∀ i, M₁ i) (i : ι) : f (update m i 0) = 0 :=
f.map_coord_zero i (update_self i 0 m)
@[simp]
theorem map_zero [Nonempty ι] : f 0 = 0 := by
obtain ⟨i, _⟩ : ∃ i : ι, i ∈ Set.univ := Set.exists_mem_of_nonempty ι
exact map_coord_zero f i rfl
instance : Add (MultilinearMap R M₁ M₂) :=
⟨fun f f' =>
⟨fun x => f x + f' x, fun m i x y => by simp [add_left_comm, add_assoc], fun m i c x => by
simp [smul_add]⟩⟩
@[simp]
theorem add_apply (m : ∀ i, M₁ i) : (f + f') m = f m + f' m :=
rfl
instance : Zero (MultilinearMap R M₁ M₂) :=
⟨⟨fun _ => 0, fun _ _ _ _ => by simp, fun _ _ c _ => by simp⟩⟩
instance : Inhabited (MultilinearMap R M₁ M₂) :=
⟨0⟩
@[simp]
theorem zero_apply (m : ∀ i, M₁ i) : (0 : MultilinearMap R M₁ M₂) m = 0 :=
rfl
section SMul
variable [DistribSMul S M₂] [SMulCommClass R S M₂]
instance : SMul S (MultilinearMap R M₁ M₂) :=
⟨fun c f =>
⟨fun m => c • f m, fun m i x y => by simp [smul_add], fun l i x d => by
simp [← smul_comm x c (_ : M₂)]⟩⟩
@[simp]
theorem smul_apply (f : MultilinearMap R M₁ M₂) (c : S) (m : ∀ i, M₁ i) : (c • f) m = c • f m :=
rfl
theorem coe_smul (c : S) (f : MultilinearMap R M₁ M₂) : ⇑(c • f) = c • (⇑ f) := rfl
end SMul
instance addCommMonoid : AddCommMonoid (MultilinearMap R M₁ M₂) :=
coe_injective.addCommMonoid _ rfl (fun _ _ => rfl) fun _ _ => rfl
/-- Coercion of a multilinear map to a function as an additive monoid homomorphism. -/
@[simps] def coeAddMonoidHom : MultilinearMap R M₁ M₂ →+ (((i : ι) → M₁ i) → M₂) where
toFun := DFunLike.coe; map_zero' := rfl; map_add' _ _ := rfl
@[simp]
theorem coe_sum {α : Type*} (f : α → MultilinearMap R M₁ M₂) (s : Finset α) :
⇑(∑ a ∈ s, f a) = ∑ a ∈ s, ⇑(f a) :=
map_sum coeAddMonoidHom f s
theorem sum_apply {α : Type*} (f : α → MultilinearMap R M₁ M₂) (m : ∀ i, M₁ i) {s : Finset α} :
(∑ a ∈ s, f a) m = ∑ a ∈ s, f a m := by simp
/-- If `f` is a multilinear map, then `f.toLinearMap m i` is the linear map obtained by fixing all
coordinates but `i` equal to those of `m`, and varying the `i`-th coordinate. -/
@[simps]
def toLinearMap [DecidableEq ι] (m : ∀ i, M₁ i) (i : ι) : M₁ i →ₗ[R] M₂ where
toFun x := f (update m i x)
map_add' x y := by simp
map_smul' c x := by simp
/-- The cartesian product of two multilinear maps, as a multilinear map. -/
@[simps]
def prod (f : MultilinearMap R M₁ M₂) (g : MultilinearMap R M₁ M₃) :
MultilinearMap R M₁ (M₂ × M₃) where
toFun m := (f m, g m)
map_update_add' m i x y := by simp
map_update_smul' m i c x := by simp
/-- Combine a family of multilinear maps with the same domain and codomains `M' i` into a
multilinear map taking values in the space of functions `∀ i, M' i`. -/
@[simps]
def pi {ι' : Type*} {M' : ι' → Type*} [∀ i, AddCommMonoid (M' i)] [∀ i, Module R (M' i)]
(f : ∀ i, MultilinearMap R M₁ (M' i)) : MultilinearMap R M₁ (∀ i, M' i) where
toFun m i := f i m
map_update_add' _ _ _ _ := funext fun j => (f j).map_update_add _ _ _ _
map_update_smul' _ _ _ _ := funext fun j => (f j).map_update_smul _ _ _ _
section
variable (R M₂ M₃)
/-- Equivalence between linear maps `M₂ →ₗ[R] M₃` and one-multilinear maps. -/
@[simps]
def ofSubsingleton [Subsingleton ι] (i : ι) :
(M₂ →ₗ[R] M₃) ≃ MultilinearMap R (fun _ : ι ↦ M₂) M₃ where
toFun f :=
{ toFun := fun x ↦ f (x i)
map_update_add' := by intros; simp [update_eq_const_of_subsingleton]
map_update_smul' := by intros; simp [update_eq_const_of_subsingleton] }
invFun f :=
{ toFun := fun x ↦ f fun _ ↦ x
map_add' := fun x y ↦ by
simpa [update_eq_const_of_subsingleton] using f.map_update_add 0 i x y
map_smul' := fun c x ↦ by
simpa [update_eq_const_of_subsingleton] using f.map_update_smul 0 i c x }
left_inv _ := rfl
right_inv f := by ext x; refine congr_arg f ?_; exact (eq_const_of_subsingleton _ _).symm
variable (M₁) {M₂}
/-- The constant map is multilinear when `ι` is empty. -/
@[simps -fullyApplied]
def constOfIsEmpty [IsEmpty ι] (m : M₂) : MultilinearMap R M₁ M₂ where
toFun := Function.const _ m
map_update_add' _ := isEmptyElim
map_update_smul' _ := isEmptyElim
end
/-- Given a multilinear map `f` on `n` variables (parameterized by `Fin n`) and a subset `s` of `k`
of these variables, one gets a new 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 : MultilinearMap R (fun _ : Fin n => M') M₂) (s : Finset (Fin n))
(hk : #s = k) (z : M') : MultilinearMap R (fun _ : Fin k => M') M₂ where
toFun v := f fun j => if h : j ∈ s then v ((s.orderIsoOfFin hk).symm ⟨j, h⟩) else z
/- Porting note: The proofs of the following two lemmas used to only use `erw` followed by `simp`,
but it seems `erw` no longer unfolds or unifies well enough to work without more help. -/
map_update_add' v i x y := by
erw [dite_comp_equiv_update (s.orderIsoOfFin hk).toEquiv,
dite_comp_equiv_update (s.orderIsoOfFin hk).toEquiv,
dite_comp_equiv_update (s.orderIsoOfFin hk).toEquiv]
simp
map_update_smul' v i c x := by
erw [dite_comp_equiv_update (s.orderIsoOfFin hk).toEquiv,
dite_comp_equiv_update (s.orderIsoOfFin hk).toEquiv]
simp
/-- In the specific case of multilinear maps on spaces indexed by `Fin (n+1)`, where one can build
an element of `∀ (i : Fin (n+1)), M i` using `cons`, one can express directly the additivity of a
multilinear map along the first variable. -/
theorem cons_add (f : MultilinearMap R M M₂) (m : ∀ i : Fin n, M i.succ) (x y : M 0) :
f (cons (x + y) m) = f (cons x m) + f (cons y m) := by
simp_rw [← update_cons_zero x m (x + y), f.map_update_add, update_cons_zero]
/-- In the specific case of multilinear maps on spaces indexed by `Fin (n+1)`, where one can build
an element of `∀ (i : Fin (n+1)), M i` using `cons`, one can express directly the multiplicativity
of a multilinear map along the first variable. -/
theorem cons_smul (f : MultilinearMap R M M₂) (m : ∀ i : Fin n, M i.succ) (c : R) (x : M 0) :
f (cons (c • x) m) = c • f (cons x m) := by
simp_rw [← update_cons_zero x m (c • x), f.map_update_smul, update_cons_zero]
/-- In the specific case of multilinear maps on spaces indexed by `Fin (n+1)`, where one can build
an element of `∀ (i : Fin (n+1)), M i` using `snoc`, one can express directly the additivity of a
multilinear map along the first variable. -/
theorem snoc_add (f : MultilinearMap R M M₂)
(m : ∀ i : Fin n, M (castSucc i)) (x y : M (last n)) :
f (snoc m (x + y)) = f (snoc m x) + f (snoc m y) := by
simp_rw [← update_snoc_last x m (x + y), f.map_update_add, update_snoc_last]
/-- In the specific case of multilinear maps on spaces indexed by `Fin (n+1)`, where one can build
an element of `∀ (i : Fin (n+1)), M i` using `cons`, one can express directly the multiplicativity
of a multilinear map along the first variable. -/
theorem snoc_smul (f : MultilinearMap R M M₂) (m : ∀ i : Fin n, M (castSucc i)) (c : R)
(x : M (last n)) : f (snoc m (c • x)) = c • f (snoc m x) := by
simp_rw [← update_snoc_last x m (c • x), f.map_update_smul, update_snoc_last]
section
variable {M₁' : ι → Type*} [∀ i, AddCommMonoid (M₁' i)] [∀ i, Module R (M₁' i)]
variable {M₁'' : ι → Type*} [∀ i, AddCommMonoid (M₁'' i)] [∀ i, Module R (M₁'' i)]
/-- If `g` is a multilinear map and `f` is a collection of linear maps,
then `g (f₁ m₁, ..., fₙ mₙ)` is again a multilinear map, that we call
`g.compLinearMap f`. -/
def compLinearMap (g : MultilinearMap R M₁' M₂) (f : ∀ i, M₁ i →ₗ[R] M₁' i) :
MultilinearMap R M₁ M₂ where
toFun m := g fun i => f i (m i)
map_update_add' m i x y := by
have : ∀ j z, f j (update m i z j) = update (fun k => f k (m k)) i (f i z) j := fun j z =>
Function.apply_update (fun k => f k) _ _ _ _
simp [this]
map_update_smul' m i c x := by
have : ∀ j z, f j (update m i z j) = update (fun k => f k (m k)) i (f i z) j := fun j z =>
Function.apply_update (fun k => f k) _ _ _ _
simp [this]
@[simp]
theorem compLinearMap_apply (g : MultilinearMap R M₁' M₂) (f : ∀ i, M₁ i →ₗ[R] M₁' i)
(m : ∀ i, M₁ i) : g.compLinearMap f m = g fun i => f i (m i) :=
rfl
/-- Composing a multilinear map twice with a linear map in each argument is
the same as composing with their composition. -/
theorem compLinearMap_assoc (g : MultilinearMap R M₁'' M₂) (f₁ : ∀ i, M₁' i →ₗ[R] M₁'' i)
(f₂ : ∀ i, M₁ i →ₗ[R] M₁' i) :
(g.compLinearMap f₁).compLinearMap f₂ = g.compLinearMap fun i => f₁ i ∘ₗ f₂ i :=
rfl
/-- Composing the zero multilinear map with a linear map in each argument. -/
@[simp]
theorem zero_compLinearMap (f : ∀ i, M₁ i →ₗ[R] M₁' i) :
(0 : MultilinearMap R M₁' M₂).compLinearMap f = 0 :=
ext fun _ => rfl
/-- Composing a multilinear map with the identity linear map in each argument. -/
@[simp]
theorem compLinearMap_id (g : MultilinearMap R M₁' M₂) :
(g.compLinearMap fun _ => LinearMap.id) = g :=
ext fun _ => rfl
/-- Composing with a family of surjective linear maps is injective. -/
theorem compLinearMap_injective (f : ∀ i, M₁ i →ₗ[R] M₁' i) (hf : ∀ i, Surjective (f i)) :
Injective fun g : MultilinearMap R M₁' M₂ => g.compLinearMap f := fun g₁ g₂ h =>
ext fun x => by
simpa [fun i => surjInv_eq (hf i)]
using MultilinearMap.ext_iff.mp h fun i => surjInv (hf i) (x i)
theorem compLinearMap_inj (f : ∀ i, M₁ i →ₗ[R] M₁' i) (hf : ∀ i, Surjective (f i))
(g₁ g₂ : MultilinearMap R M₁' M₂) : g₁.compLinearMap f = g₂.compLinearMap f ↔ g₁ = g₂ :=
(compLinearMap_injective _ hf).eq_iff
/-- Composing a multilinear map with a linear equiv on each argument gives the zero map
if and only if the multilinear map is the zero map. -/
@[simp]
theorem comp_linearEquiv_eq_zero_iff (g : MultilinearMap R M₁' M₂) (f : ∀ i, M₁ i ≃ₗ[R] M₁' i) :
(g.compLinearMap fun i => (f i : M₁ i →ₗ[R] M₁' i)) = 0 ↔ g = 0 := by
set f' := fun i => (f i : M₁ i →ₗ[R] M₁' i)
rw [← zero_compLinearMap f', compLinearMap_inj f' fun i => (f i).surjective]
end
/-- If one adds to a vector `m'` another vector `m`, but only for coordinates in a finset `t`, then
the image under a multilinear map `f` is the sum of `f (s.piecewise m m')` along all subsets `s` of
`t`. This is mainly an auxiliary statement to prove the result when `t = univ`, given in
`map_add_univ`, although it can be useful in its own right as it does not require the index set `ι`
to be finite. -/
theorem map_piecewise_add [DecidableEq ι] (m m' : ∀ i, M₁ i) (t : Finset ι) :
f (t.piecewise (m + m') m') = ∑ s ∈ t.powerset, f (s.piecewise m m') := by
revert m'
refine Finset.induction_on t (by simp) ?_
intro i t hit Hrec m'
have A : (insert i t).piecewise (m + m') m' = update (t.piecewise (m + m') m') i (m i + m' i) :=
t.piecewise_insert _ _ _
have B : update (t.piecewise (m + m') m') i (m' i) = t.piecewise (m + m') m' := by
ext j
by_cases h : j = i
· rw [h]
simp [hit]
· simp [h]
let m'' := update m' i (m i)
have C : update (t.piecewise (m + m') m') i (m i) = t.piecewise (m + m'') m'' := by
ext j
by_cases h : j = i
· rw [h]
simp [m'', hit]
· by_cases h' : j ∈ t <;> simp [m'', h, hit, h']
rw [A, f.map_update_add, B, C, Finset.sum_powerset_insert hit, Hrec, Hrec, add_comm (_ : M₂)]
congr 1
refine Finset.sum_congr rfl fun s hs => ?_
have : (insert i s).piecewise m m' = s.piecewise m m'' := by
ext j
by_cases h : j = i
· rw [h]
simp [m'', Finset.not_mem_of_mem_powerset_of_not_mem hs hit]
· by_cases h' : j ∈ s <;> simp [m'', h, h']
rw [this]
/-- Additivity of a multilinear map along all coordinates at the same time,
writing `f (m + m')` as the sum of `f (s.piecewise m m')` over all sets `s`. -/
theorem map_add_univ [DecidableEq ι] [Fintype ι] (m m' : ∀ i, M₁ i) :
f (m + m') = ∑ s : Finset ι, f (s.piecewise m m') := by
simpa using f.map_piecewise_add m m' Finset.univ
section ApplySum
variable {α : ι → Type*} (g : ∀ i, α i → M₁ i) (A : ∀ i, Finset (α i))
open Fintype Finset
/-- If `f` is multilinear, then `f (Σ_{j₁ ∈ A₁} g₁ j₁, ..., Σ_{jₙ ∈ Aₙ} gₙ jₙ)` is the sum of
`f (g₁ (r 1), ..., gₙ (r n))` where `r` ranges over all functions with `r 1 ∈ A₁`, ...,
`r n ∈ Aₙ`. This follows from multilinearity by expanding successively with respect to each
coordinate. Here, we give an auxiliary statement tailored for an inductive proof. Use instead
`map_sum_finset`. -/
theorem map_sum_finset_aux [DecidableEq ι] [Fintype ι] {n : ℕ} (h : (∑ i, #(A i)) = n) :
(f fun i => ∑ j ∈ A i, g i j) = ∑ r ∈ piFinset A, f fun i => g i (r i) := by
letI := fun i => Classical.decEq (α i)
induction n using Nat.strong_induction_on generalizing A with | h n IH =>
-- If one of the sets is empty, then all the sums are zero
by_cases Ai_empty : ∃ i, A i = ∅
· obtain ⟨i, hi⟩ : ∃ i, ∑ j ∈ A i, g i j = 0 := Ai_empty.imp fun i hi ↦ by simp [hi]
have hpi : piFinset A = ∅ := by simpa
rw [f.map_coord_zero i hi, hpi, Finset.sum_empty]
push_neg at Ai_empty
-- Otherwise, if all sets are at most singletons, then they are exactly singletons and the result
-- is again straightforward
by_cases Ai_singleton : ∀ i, #(A i) ≤ 1
· have Ai_card : ∀ i, #(A i) = 1 := by
intro i
have pos : #(A i) ≠ 0 := by simp [Finset.card_eq_zero, Ai_empty i]
have : #(A i) ≤ 1 := Ai_singleton i
exact le_antisymm this (Nat.succ_le_of_lt (_root_.pos_iff_ne_zero.mpr pos))
have :
∀ r : ∀ i, α i, r ∈ piFinset A → (f fun i => g i (r i)) = f fun i => ∑ j ∈ A i, g i j := by
intro r hr
congr with i
have : ∀ j ∈ A i, g i j = g i (r i) := by
intro j hj
congr
apply Finset.card_le_one_iff.1 (Ai_singleton i) hj
exact mem_piFinset.mp hr i
simp only [Finset.sum_congr rfl this, Finset.mem_univ, Finset.sum_const, Ai_card i, one_nsmul]
simp only [Finset.sum_congr rfl this, Ai_card, card_piFinset, prod_const_one, one_nsmul,
Finset.sum_const]
-- Remains the interesting case where one of the `A i`, say `A i₀`, has cardinality at least 2.
-- We will split into two parts `B i₀` and `C i₀` of smaller cardinality, let `B i = C i = A i`
-- for `i ≠ i₀`, apply the inductive assumption to `B` and `C`, and add up the corresponding
-- parts to get the sum for `A`.
push_neg at Ai_singleton
obtain ⟨i₀, hi₀⟩ : ∃ i, 1 < #(A i) := Ai_singleton
obtain ⟨j₁, j₂, _, hj₂, _⟩ : ∃ j₁ j₂, j₁ ∈ A i₀ ∧ j₂ ∈ A i₀ ∧ j₁ ≠ j₂ :=
Finset.one_lt_card_iff.1 hi₀
let B := Function.update A i₀ (A i₀ \ {j₂})
let C := Function.update A i₀ {j₂}
have B_subset_A : ∀ i, B i ⊆ A i := by
intro i
by_cases hi : i = i₀
· rw [hi]
simp only [B, sdiff_subset, update_self]
· simp only [B, hi, update_of_ne, Ne, not_false_iff, Finset.Subset.refl]
have C_subset_A : ∀ i, C i ⊆ A i := by
intro i
by_cases hi : i = i₀
· rw [hi]
simp only [C, hj₂, Finset.singleton_subset_iff, update_self]
· simp only [C, hi, update_of_ne, Ne, not_false_iff, Finset.Subset.refl]
-- split the sum at `i₀` as the sum over `B i₀` plus the sum over `C i₀`, to use additivity.
have A_eq_BC :
(fun i => ∑ j ∈ A i, g i j) =
Function.update (fun i => ∑ j ∈ A i, g i j) i₀
((∑ j ∈ B i₀, g i₀ j) + ∑ j ∈ C i₀, g i₀ j) := by
ext i
by_cases hi : i = i₀
· rw [hi, update_self]
have : A i₀ = B i₀ ∪ C i₀ := by
simp only [B, C, Function.update_self, Finset.sdiff_union_self_eq_union]
symm
simp only [hj₂, Finset.singleton_subset_iff, Finset.union_eq_left]
rw [this]
refine Finset.sum_union <| Finset.disjoint_right.2 fun j hj => ?_
have : j = j₂ := by
simpa [C] using hj
rw [this]
simp only [B, mem_sdiff, eq_self_iff_true, not_true, not_false_iff, Finset.mem_singleton,
update_self, and_false]
· simp [hi]
have Beq :
Function.update (fun i => ∑ j ∈ A i, g i j) i₀ (∑ j ∈ B i₀, g i₀ j) = fun i =>
∑ j ∈ B i, g i j := by
ext i
by_cases hi : i = i₀
· rw [hi]
simp only [update_self]
· simp only [B, hi, update_of_ne, Ne, not_false_iff]
have Ceq :
Function.update (fun i => ∑ j ∈ A i, g i j) i₀ (∑ j ∈ C i₀, g i₀ j) = fun i =>
∑ j ∈ C i, g i j := by
ext i
by_cases hi : i = i₀
· rw [hi]
simp only [update_self]
· simp only [C, hi, update_of_ne, Ne, not_false_iff]
-- Express the inductive assumption for `B`
have Brec : (f fun i => ∑ j ∈ B i, g i j) = ∑ r ∈ piFinset B, f fun i => g i (r i) := by
have : ∑ i, #(B i) < ∑ i, #(A i) := by
refine sum_lt_sum (fun i _ => card_le_card (B_subset_A i)) ⟨i₀, mem_univ _, ?_⟩
have : {j₂} ⊆ A i₀ := by simp [hj₂]
simp only [B, Finset.card_sdiff this, Function.update_self, Finset.card_singleton]
exact Nat.pred_lt (ne_of_gt (lt_trans Nat.zero_lt_one hi₀))
rw [h] at this
exact IH _ this B rfl
-- Express the inductive assumption for `C`
have Crec : (f fun i => ∑ j ∈ C i, g i j) = ∑ r ∈ piFinset C, f fun i => g i (r i) := by
have : (∑ i, #(C i)) < ∑ i, #(A i) :=
Finset.sum_lt_sum (fun i _ => Finset.card_le_card (C_subset_A i))
⟨i₀, Finset.mem_univ _, by simp [C, hi₀]⟩
rw [h] at this
exact IH _ this C rfl
have D : Disjoint (piFinset B) (piFinset C) :=
haveI : Disjoint (B i₀) (C i₀) := by simp [B, C]
piFinset_disjoint_of_disjoint B C this
have pi_BC : piFinset A = piFinset B ∪ piFinset C := by
apply Finset.Subset.antisymm
· intro r hr
by_cases hri₀ : r i₀ = j₂
· apply Finset.mem_union_right
refine mem_piFinset.2 fun i => ?_
by_cases hi : i = i₀
· have : r i₀ ∈ C i₀ := by simp [C, hri₀]
rwa [hi]
· simp [C, hi, mem_piFinset.1 hr i]
· apply Finset.mem_union_left
refine mem_piFinset.2 fun i => ?_
by_cases hi : i = i₀
· have : r i₀ ∈ B i₀ := by simp [B, hri₀, mem_piFinset.1 hr i₀]
rwa [hi]
· simp [B, hi, mem_piFinset.1 hr i]
· exact
Finset.union_subset (piFinset_subset _ _ fun i => B_subset_A i)
(piFinset_subset _ _ fun i => C_subset_A i)
rw [A_eq_BC]
simp only [MultilinearMap.map_update_add, Beq, Ceq, Brec, Crec, pi_BC]
rw [← Finset.sum_union D]
/-- If `f` is multilinear, then `f (Σ_{j₁ ∈ A₁} g₁ j₁, ..., Σ_{jₙ ∈ Aₙ} gₙ jₙ)` is the sum of
`f (g₁ (r 1), ..., gₙ (r n))` where `r` ranges over all functions with `r 1 ∈ A₁`, ...,
`r n ∈ Aₙ`. This follows from multilinearity by expanding successively with respect to each
coordinate. -/
theorem map_sum_finset [DecidableEq ι] [Fintype ι] :
(f fun i => ∑ j ∈ A i, g i j) = ∑ r ∈ piFinset A, f fun i => g i (r i) :=
f.map_sum_finset_aux _ _ rfl
/-- If `f` is multilinear, then `f (Σ_{j₁} g₁ j₁, ..., Σ_{jₙ} gₙ jₙ)` is the sum of
`f (g₁ (r 1), ..., gₙ (r n))` where `r` ranges over all functions `r`. This follows from
multilinearity by expanding successively with respect to each coordinate. -/
theorem map_sum [DecidableEq ι] [Fintype ι] [∀ i, Fintype (α i)] :
(f fun i => ∑ j, g i j) = ∑ r : ∀ i, α i, f fun i => g i (r i) :=
f.map_sum_finset g fun _ => Finset.univ
theorem map_update_sum {α : Type*} [DecidableEq ι] (t : Finset α) (i : ι) (g : α → M₁ i)
(m : ∀ i, M₁ i) : f (update m i (∑ a ∈ t, g a)) = ∑ a ∈ t, f (update m i (g a)) := by
classical
induction t using Finset.induction with
| empty => simp
| insert _ _ has ih => simp [Finset.sum_insert has, ih]
end ApplySum
/-- Restrict the codomain of a multilinear map to a submodule.
This is the multilinear version of `LinearMap.codRestrict`. -/
@[simps]
def codRestrict (f : MultilinearMap R M₁ M₂) (p : Submodule R M₂) (h : ∀ v, f v ∈ p) :
MultilinearMap R M₁ p where
toFun v := ⟨f v, h v⟩
map_update_add' _ _ _ _ := Subtype.ext <| MultilinearMap.map_update_add _ _ _ _ _
map_update_smul' _ _ _ _ := Subtype.ext <| MultilinearMap.map_update_smul _ _ _ _ _
section RestrictScalar
variable (R)
variable {A : Type*} [Semiring A] [SMul R A] [∀ i : ι, Module A (M₁ i)] [Module A M₂]
[∀ i, IsScalarTower R A (M₁ i)] [IsScalarTower R A M₂]
/-- Reinterpret an `A`-multilinear map as an `R`-multilinear map, if `A` is an algebra over `R`
and their actions on all involved modules agree with the action of `R` on `A`. -/
def restrictScalars (f : MultilinearMap A M₁ M₂) : MultilinearMap R M₁ M₂ where
toFun := f
map_update_add' := f.map_update_add
map_update_smul' m i := (f.toLinearMap m i).map_smul_of_tower
@[simp]
theorem coe_restrictScalars (f : MultilinearMap A M₁ M₂) : ⇑(f.restrictScalars R) = f :=
rfl
end RestrictScalar
section
variable {ι₁ ι₂ ι₃ : Type*}
/-- Transfer the arguments to a map along an equivalence between argument indices.
The naming is derived from `Finsupp.domCongr`, noting that here the permutation applies to the
domain of the domain. -/
@[simps apply]
def domDomCongr (σ : ι₁ ≃ ι₂) (m : MultilinearMap R (fun _ : ι₁ => M₂) M₃) :
MultilinearMap R (fun _ : ι₂ => M₂) M₃ where
toFun v := m fun i => v (σ i)
map_update_add' v i a b := by
letI := σ.injective.decidableEq
simp_rw [Function.update_apply_equiv_apply v]
rw [m.map_update_add]
map_update_smul' v i a b := by
letI := σ.injective.decidableEq
simp_rw [Function.update_apply_equiv_apply v]
rw [m.map_update_smul]
theorem domDomCongr_trans (σ₁ : ι₁ ≃ ι₂) (σ₂ : ι₂ ≃ ι₃)
(m : MultilinearMap R (fun _ : ι₁ => M₂) M₃) :
m.domDomCongr (σ₁.trans σ₂) = (m.domDomCongr σ₁).domDomCongr σ₂ :=
rfl
theorem domDomCongr_mul (σ₁ : Equiv.Perm ι₁) (σ₂ : Equiv.Perm ι₁)
(m : MultilinearMap R (fun _ : ι₁ => M₂) M₃) :
m.domDomCongr (σ₂ * σ₁) = (m.domDomCongr σ₁).domDomCongr σ₂ :=
rfl
/-- `MultilinearMap.domDomCongr` as an equivalence.
This is declared separately because it does not work with dot notation. -/
@[simps apply symm_apply]
def domDomCongrEquiv (σ : ι₁ ≃ ι₂) :
MultilinearMap R (fun _ : ι₁ => M₂) M₃ ≃+ MultilinearMap R (fun _ : ι₂ => M₂) M₃ where
toFun := domDomCongr σ
invFun := domDomCongr σ.symm
left_inv m := by
ext
simp [domDomCongr]
right_inv m := by
ext
simp [domDomCongr]
map_add' a b := by
ext
simp [domDomCongr]
/-- The results of applying `domDomCongr` to two maps are equal if
and only if those maps are. -/
@[simp]
theorem domDomCongr_eq_iff (σ : ι₁ ≃ ι₂) (f g : MultilinearMap R (fun _ : ι₁ => M₂) M₃) :
f.domDomCongr σ = g.domDomCongr σ ↔ f = g :=
(domDomCongrEquiv σ : _ ≃+ MultilinearMap R (fun _ => M₂) M₃).apply_eq_iff_eq
end
/-! If `{a // P a}` is a subtype of `ι` and if we fix an element `z` of `(i : {a // ¬ P a}) → M₁ i`,
then a multilinear map on `M₁` defines a multilinear map on the restriction of `M₁` to
`{a // P a}`, by fixing the arguments out of `{a // P a}` equal to the values of `z`. -/
lemma domDomRestrict_aux {ι} [DecidableEq ι] (P : ι → Prop) [DecidablePred P] {M₁ : ι → Type*}
[DecidableEq {a // P a}]
(x : (i : {a // P a}) → M₁ i) (z : (i : {a // ¬ P a}) → M₁ i) (i : {a : ι // P a})
(c : M₁ i) : (fun j ↦ if h : P j then Function.update x i c ⟨j, h⟩ else z ⟨j, h⟩) =
Function.update (fun j => if h : P j then x ⟨j, h⟩ else z ⟨j, h⟩) i c := by
ext j
by_cases h : j = i
· rw [h, Function.update_self]
simp only [i.2, update_self, dite_true]
· rw [Function.update_of_ne h]
by_cases h' : P j
· simp only [h', ne_eq, Subtype.mk.injEq, dite_true]
have h'' : ¬ ⟨j, h'⟩ = i :=
fun he => by apply_fun (fun x => x.1) at he; exact h he
rw [Function.update_of_ne h'']
· simp only [h', ne_eq, Subtype.mk.injEq, dite_false]
lemma domDomRestrict_aux_right {ι} [DecidableEq ι] (P : ι → Prop) [DecidablePred P] {M₁ : ι → Type*}
[DecidableEq {a // ¬ P a}]
(x : (i : {a // P a}) → M₁ i) (z : (i : {a // ¬ P a}) → M₁ i) (i : {a : ι // ¬ P a})
(c : M₁ i) : (fun j ↦ if h : P j then x ⟨j, h⟩ else Function.update z i c ⟨j, h⟩) =
Function.update (fun j => if h : P j then x ⟨j, h⟩ else z ⟨j, h⟩) i c := by
simpa only [dite_not] using domDomRestrict_aux _ z (fun j ↦ x ⟨j.1, not_not.mp j.2⟩) i c
/-- Given a multilinear map `f` on `(i : ι) → M i`, a (decidable) predicate `P` on `ι` and
an element `z` of `(i : {a // ¬ P a}) → M₁ i`, construct a multilinear map on
`(i : {a // P a}) → M₁ i)` whose value at `x` is `f` evaluated at the vector with `i`th coordinate
`x i` if `P i` and `z i` otherwise.
The naming is similar to `MultilinearMap.domDomCongr`: here we are applying the restriction to the
domain of the domain.
For a linear map version, see `MultilinearMap.domDomRestrictₗ`.
-/
def domDomRestrict (f : MultilinearMap R M₁ M₂) (P : ι → Prop) [DecidablePred P]
(z : (i : {a : ι // ¬ P a}) → M₁ i) :
MultilinearMap R (fun (i : {a : ι // P a}) => M₁ i) M₂ where
toFun x := f (fun j ↦ if h : P j then x ⟨j, h⟩ else z ⟨j, h⟩)
map_update_add' x i a b := by
classical
repeat (rw [domDomRestrict_aux])
simp only [MultilinearMap.map_update_add]
map_update_smul' z i c a := by
classical
repeat (rw [domDomRestrict_aux])
simp only [MultilinearMap.map_update_smul]
@[simp]
lemma domDomRestrict_apply (f : MultilinearMap R M₁ M₂) (P : ι → Prop)
[DecidablePred P] (x : (i : {a // P a}) → M₁ i) (z : (i : {a // ¬ P a}) → M₁ i) :
f.domDomRestrict P z x = f (fun j => if h : P j then x ⟨j, h⟩ else z ⟨j, h⟩) := rfl
-- TODO: Should add a ref here when available.
/-- The "derivative" of a multilinear map, as a linear map from `(i : ι) → M₁ i` to `M₂`.
For continuous multilinear maps, this will indeed be the derivative. -/
def linearDeriv [DecidableEq ι] [Fintype ι] (f : MultilinearMap R M₁ M₂)
(x : (i : ι) → M₁ i) : ((i : ι) → M₁ i) →ₗ[R] M₂ :=
∑ i : ι, (f.toLinearMap x i).comp (LinearMap.proj i)
@[simp]
lemma linearDeriv_apply [DecidableEq ι] [Fintype ι] (f : MultilinearMap R M₁ M₂)
(x y : (i : ι) → M₁ i) :
f.linearDeriv x y = ∑ i, f (update x i (y i)) := by
unfold linearDeriv
simp only [LinearMap.coeFn_sum, LinearMap.coe_comp, LinearMap.coe_proj, Finset.sum_apply,
Function.comp_apply, Function.eval, toLinearMap_apply]
end Semiring
end MultilinearMap
namespace LinearMap
variable [Semiring R] [∀ i, AddCommMonoid (M₁ i)] [AddCommMonoid M₂] [AddCommMonoid M₃]
[AddCommMonoid M'] [∀ i, Module R (M₁ i)] [Module R M₂] [Module R M₃] [Module R M']
/-- Composing a multilinear map with a linear map gives again a multilinear map. -/
def compMultilinearMap (g : M₂ →ₗ[R] M₃) (f : MultilinearMap R M₁ M₂) : MultilinearMap R M₁ M₃ where
toFun := g ∘ f
map_update_add' m i x y := by simp
map_update_smul' m i c x := by simp
@[simp]
theorem coe_compMultilinearMap (g : M₂ →ₗ[R] M₃) (f : MultilinearMap R M₁ M₂) :
⇑(g.compMultilinearMap f) = g ∘ f :=
rfl
@[simp]
theorem compMultilinearMap_apply (g : M₂ →ₗ[R] M₃) (f : MultilinearMap R M₁ M₂) (m : ∀ i, M₁ i) :
g.compMultilinearMap f m = g (f m) :=
rfl
@[simp]
theorem compMultilinearMap_zero (g : M₂ →ₗ[R] M₃) :
g.compMultilinearMap (0 : MultilinearMap R M₁ M₂) = 0 :=
MultilinearMap.ext fun _ => map_zero g
@[simp]
theorem zero_compMultilinearMap (f : MultilinearMap R M₁ M₂) :
(0 : M₂ →ₗ[R] M₃).compMultilinearMap f = 0 := rfl
@[simp]
theorem compMultilinearMap_add (g : M₂ →ₗ[R] M₃) (f₁ f₂ : MultilinearMap R M₁ M₂) :
g.compMultilinearMap (f₁ + f₂) = g.compMultilinearMap f₁ + g.compMultilinearMap f₂ :=
MultilinearMap.ext fun _ => map_add g _ _
@[simp]
theorem add_compMultilinearMap (g₁ g₂ : M₂ →ₗ[R] M₃) (f : MultilinearMap R M₁ M₂) :
(g₁ + g₂).compMultilinearMap f = g₁.compMultilinearMap f + g₂.compMultilinearMap f := rfl
@[simp]
theorem compMultilinearMap_smul [DistribSMul S M₂] [DistribSMul S M₃]
[SMulCommClass R S M₂] [SMulCommClass R S M₃] [CompatibleSMul M₂ M₃ S R]
(g : M₂ →ₗ[R] M₃) (s : S) (f : MultilinearMap R M₁ M₂) :
g.compMultilinearMap (s • f) = s • g.compMultilinearMap f :=
MultilinearMap.ext fun _ => g.map_smul_of_tower _ _
@[simp]
theorem smul_compMultilinearMap [Monoid S] [DistribMulAction S M₃] [SMulCommClass R S M₃]
(g : M₂ →ₗ[R] M₃) (s : S) (f : MultilinearMap R M₁ M₂) :
(s • g).compMultilinearMap f = s • g.compMultilinearMap f := rfl
/-- The multilinear version of `LinearMap.subtype_comp_codRestrict` -/
@[simp]
theorem subtype_compMultilinearMap_codRestrict (f : MultilinearMap R M₁ M₂) (p : Submodule R M₂)
(h) : p.subtype.compMultilinearMap (f.codRestrict p h) = f :=
rfl
/-- The multilinear version of `LinearMap.comp_codRestrict` -/
@[simp]
theorem compMultilinearMap_codRestrict (g : M₂ →ₗ[R] M₃) (f : MultilinearMap R M₁ M₂)
(p : Submodule R M₃) (h) :
(g.codRestrict p h).compMultilinearMap f =
(g.compMultilinearMap f).codRestrict p fun v => h (f v) :=
rfl
variable {ι₁ ι₂ : Type*}
@[simp]
theorem compMultilinearMap_domDomCongr (σ : ι₁ ≃ ι₂) (g : M₂ →ₗ[R] M₃)
(f : MultilinearMap R (fun _ : ι₁ => M') M₂) :
(g.compMultilinearMap f).domDomCongr σ = g.compMultilinearMap (f.domDomCongr σ) := by
ext
simp [MultilinearMap.domDomCongr]
end LinearMap
namespace MultilinearMap
section Semiring
variable [Semiring R] [(i : ι) → AddCommMonoid (M₁ i)] [(i : ι) → Module R (M₁ i)]
[AddCommMonoid M₂] [Module R M₂]
instance [Monoid S] [DistribMulAction S M₂] [Module R M₂] [SMulCommClass R S M₂] :
DistribMulAction S (MultilinearMap R M₁ M₂) :=
coe_injective.distribMulAction coeAddMonoidHom fun _ _ ↦ rfl
section Module
variable [Semiring S] [Module S M₂] [SMulCommClass R S M₂]
/-- The space of multilinear maps over an algebra over `R` is a module over `R`, for the pointwise
addition and scalar multiplication. -/
instance : Module S (MultilinearMap R M₁ M₂) :=
coe_injective.module _ coeAddMonoidHom fun _ _ ↦ rfl
instance [NoZeroSMulDivisors S M₂] : NoZeroSMulDivisors S (MultilinearMap R M₁ M₂) :=
coe_injective.noZeroSMulDivisors _ rfl coe_smul
variable [AddCommMonoid M₃] [Module S M₃] [Module R M₃] [SMulCommClass R S M₃]
variable (S) in
/-- `LinearMap.compMultilinearMap` as an `S`-linear map. -/
@[simps]
def _root_.LinearMap.compMultilinearMapₗ [Semiring S] [Module S M₂] [Module S M₃]
[SMulCommClass R S M₂] [SMulCommClass R S M₃] [LinearMap.CompatibleSMul M₂ M₃ S R]
(g : M₂ →ₗ[R] M₃) :
MultilinearMap R M₁ M₂ →ₗ[S] MultilinearMap R M₁ M₃ where
toFun := g.compMultilinearMap
map_add' := g.compMultilinearMap_add
map_smul' := g.compMultilinearMap_smul
variable (R S M₁ M₂ M₃)
section OfSubsingleton
/-- Linear equivalence between linear maps `M₂ →ₗ[R] M₃`
and one-multilinear maps `MultilinearMap R (fun _ : ι ↦ M₂) M₃`. -/
@[simps +simpRhs]
def ofSubsingletonₗ [Subsingleton ι] (i : ι) :
(M₂ →ₗ[R] M₃) ≃ₗ[S] MultilinearMap R (fun _ : ι ↦ M₂) M₃ :=
{ ofSubsingleton R M₂ M₃ i with
map_add' := fun _ _ ↦ rfl
map_smul' := fun _ _ ↦ rfl }
end OfSubsingleton
/-- The dependent version of `MultilinearMap.domDomCongrLinearEquiv`. -/
@[simps apply symm_apply]
def domDomCongrLinearEquiv' {ι' : Type*} (σ : ι ≃ ι') :
MultilinearMap R M₁ M₂ ≃ₗ[S] MultilinearMap R (fun i => M₁ (σ.symm i)) M₂ where
toFun f :=
{ toFun := f ∘ (σ.piCongrLeft' M₁).symm
map_update_add' := fun m i => by
letI := σ.decidableEq
rw [← σ.apply_symm_apply i]
intro x y
simp only [comp_apply, piCongrLeft'_symm_update, f.map_update_add]
map_update_smul' := fun m i c => by
letI := σ.decidableEq
rw [← σ.apply_symm_apply i]
intro x
simp only [Function.comp, piCongrLeft'_symm_update, f.map_update_smul] }
invFun f :=
{ toFun := f ∘ σ.piCongrLeft' M₁
map_update_add' := fun m i => by
letI := σ.symm.decidableEq
rw [← σ.symm_apply_apply i]
intro x y
simp only [comp_apply, piCongrLeft'_update, f.map_update_add]
map_update_smul' := fun m i c => by
letI := σ.symm.decidableEq
rw [← σ.symm_apply_apply i]
intro x
simp only [Function.comp, piCongrLeft'_update, f.map_update_smul] }
map_add' f₁ f₂ := by
ext
simp only [Function.comp, coe_mk, add_apply]
map_smul' c f := by
ext
simp only [Function.comp, coe_mk, smul_apply, RingHom.id_apply]
left_inv f := by
ext
simp only [coe_mk, comp_apply, Equiv.symm_apply_apply]
right_inv f := by
ext
simp only [coe_mk, comp_apply, Equiv.apply_symm_apply]
/-- The space of constant maps is equivalent to the space of maps that are multilinear with respect
to an empty family. -/
@[simps]
def constLinearEquivOfIsEmpty [IsEmpty ι] : M₂ ≃ₗ[S] MultilinearMap R M₁ M₂ where
toFun := MultilinearMap.constOfIsEmpty R _
map_add' _ _ := rfl
map_smul' _ _ := rfl
invFun f := f 0
left_inv _ := rfl
right_inv f := ext fun _ => MultilinearMap.congr_arg f <| Subsingleton.elim _ _
/-- `MultilinearMap.domDomCongr` as a `LinearEquiv`. -/
@[simps apply symm_apply]
def domDomCongrLinearEquiv {ι₁ ι₂} (σ : ι₁ ≃ ι₂) :
MultilinearMap R (fun _ : ι₁ => M₂) M₃ ≃ₗ[S] MultilinearMap R (fun _ : ι₂ => M₂) M₃ :=
{ (domDomCongrEquiv σ :
MultilinearMap R (fun _ : ι₁ => M₂) M₃ ≃+ MultilinearMap R (fun _ : ι₂ => M₂) M₃) with
map_smul' := fun c f => by
ext
simp [MultilinearMap.domDomCongr] }
end Module
end Semiring
section CommSemiring
variable [CommSemiring R] [∀ i, AddCommMonoid (M₁ i)] [∀ i, AddCommMonoid (M i)] [AddCommMonoid M₂]
[∀ i, Module R (M i)] [∀ i, Module R (M₁ i)] [Module R M₂] (f f' : MultilinearMap R M₁ M₂)
section
variable {M₁' : ι → Type*} [Π i, AddCommMonoid (M₁' i)] [Π i, Module R (M₁' i)]
/-- Given a predicate `P`, one may associate to a multilinear map `f` a multilinear map
from the elements satisfying `P` to the multilinear maps on elements not satisfying `P`.
In other words, splitting the variables into two subsets one gets a multilinear map into
multilinear maps.
This is a linear map version of the function `MultilinearMap.domDomRestrict`. -/
def domDomRestrictₗ (f : MultilinearMap R M₁ M₂) (P : ι → Prop) [DecidablePred P] :
MultilinearMap R (fun (i : {a : ι // ¬ P a}) => M₁ i)
(MultilinearMap R (fun (i : {a : ι // P a}) => M₁ i) M₂) where
toFun := fun z ↦ domDomRestrict f P z
map_update_add' := by
intro h m i x y
classical
ext v
simp [domDomRestrict_aux_right]
map_update_smul' := by
intro h m i c x
classical
ext v
simp [domDomRestrict_aux_right]
lemma iteratedFDeriv_aux {ι} {M₁ : ι → Type*} {α : Type*} [DecidableEq α]
(s : Set ι) [DecidableEq { x // x ∈ s }] (e : α ≃ s)
(m : α → ((i : ι) → M₁ i)) (a : α) (z : (i : ι) → M₁ i) :
(fun i ↦ update m a z (e.symm i) i) =
(fun i ↦ update (fun j ↦ m (e.symm j) j) (e a) (z (e a)) i) := by
ext i
rcases eq_or_ne a (e.symm i) with rfl | hne
· rw [Equiv.apply_symm_apply e i, update_self, update_self]
· rw [update_of_ne hne.symm, update_of_ne fun h ↦ (Equiv.symm_apply_apply .. ▸ h ▸ hne) rfl]
/-- One of the components of the iterated derivative of a multilinear map. Given a bijection `e`
between a type `α` (typically `Fin k`) and a subset `s` of `ι`, this component is a multilinear map
of `k` vectors `v₁, ..., vₖ`, mapping them to `f (x₁, (v_{e.symm 2})₂, x₃, ...)`, where at
indices `i` in `s` one uses the `i`-th coordinate of the vector `v_{e.symm i}` and otherwise one
uses the `i`-th coordinate of a reference vector `x`.
This is multilinear in the components of `x` outside of `s`, and in the `v_j`. -/
noncomputable def iteratedFDerivComponent {α : Type*}
(f : MultilinearMap R M₁ M₂) {s : Set ι} (e : α ≃ s) [DecidablePred (· ∈ s)] :
MultilinearMap R (fun (i : {a : ι // a ∉ s}) ↦ M₁ i)
(MultilinearMap R (fun (_ : α) ↦ (∀ i, M₁ i)) M₂) where
toFun := fun z ↦
{ toFun := fun v ↦ domDomRestrictₗ f (fun i ↦ i ∈ s) z (fun i ↦ v (e.symm i) i)
map_update_add' := by classical simp [iteratedFDeriv_aux]
map_update_smul' := by classical simp [iteratedFDeriv_aux] }
map_update_add' := by intros; ext; simp
map_update_smul' := by intros; ext; simp
open Classical in
/-- The `k`-th iterated derivative of a multilinear map `f` at the point `x`. It is a multilinear
map of `k` vectors `v₁, ..., vₖ` (with the same type as `x`), mapping them
to `∑ f (x₁, (v_{i₁})₂, x₃, ...)`, where at each index `j` one uses either `xⱼ` or one
of the `(vᵢ)ⱼ`, and each `vᵢ` has to be used exactly once.
The sum is parameterized by the embeddings of `Fin k` in the index type `ι` (or, equivalently,
by the subsets `s` of `ι` of cardinality `k` and then the bijections between `Fin k` and `s`).
For the continuous version, see `ContinuousMultilinearMap.iteratedFDeriv`. -/
protected noncomputable def iteratedFDeriv [Fintype ι]
(f : MultilinearMap R M₁ M₂) (k : ℕ) (x : (i : ι) → M₁ i) :
MultilinearMap R (fun (_ : Fin k) ↦ (∀ i, M₁ i)) M₂ :=
∑ e : Fin k ↪ ι, iteratedFDerivComponent f e.toEquivRange (fun i ↦ x i)
/-- If `f` is a collection of linear maps, then the construction `MultilinearMap.compLinearMap`
sending a multilinear map `g` to `g (f₁ ⬝ , ..., fₙ ⬝ )` is linear in `g`. -/
@[simps] def compLinearMapₗ (f : Π (i : ι), M₁ i →ₗ[R] M₁' i) :
(MultilinearMap R M₁' M₂) →ₗ[R] MultilinearMap R M₁ M₂ where
toFun := fun g ↦ g.compLinearMap f
map_add' := fun _ _ ↦ rfl
map_smul' := fun _ _ ↦ rfl
/-- If `f` is a collection of linear maps, then the construction `MultilinearMap.compLinearMap`
sending a multilinear map `g` to `g (f₁ ⬝ , ..., fₙ ⬝ )` is linear in `g` and multilinear in
`f₁, ..., fₙ`. -/
@[simps] def compLinearMapMultilinear :
@MultilinearMap R ι (fun i ↦ M₁ i →ₗ[R] M₁' i)
((MultilinearMap R M₁' M₂) →ₗ[R] MultilinearMap R M₁ M₂) _ _ _
(fun _ ↦ LinearMap.module) _ where
toFun := MultilinearMap.compLinearMapₗ
map_update_add' := by
intro _ f i f₁ f₂
ext g x
change (g fun j ↦ update f i (f₁ + f₂) j <| x j) =
(g fun j ↦ update f i f₁ j <|x j) + g fun j ↦ update f i f₂ j (x j)
let c : Π (i : ι), (M₁ i →ₗ[R] M₁' i) → M₁' i := fun i f ↦ f (x i)
convert g.map_update_add (fun j ↦ f j (x j)) i (f₁ (x i)) (f₂ (x i)) with j j j
· exact Function.apply_update c f i (f₁ + f₂) j
· exact Function.apply_update c f i f₁ j
· exact Function.apply_update c f i f₂ j
map_update_smul' := by
intro _ f i a f₀
ext g x
change (g fun j ↦ update f i (a • f₀) j <| x j) = a • g fun j ↦ update f i f₀ j (x j)
let c : Π (i : ι), (M₁ i →ₗ[R] M₁' i) → M₁' i := fun i f ↦ f (x i)
convert g.map_update_smul (fun j ↦ f j (x j)) i a (f₀ (x i)) with j j j
· exact Function.apply_update c f i (a • f₀) j
· exact Function.apply_update c f i f₀ j
/--
Let `M₁ᵢ` and `M₁ᵢ'` be two families of `R`-modules and `M₂` an `R`-module.
Let us denote `Π i, M₁ᵢ` and `Π i, M₁ᵢ'` by `M` and `M'` respectively.
If `g` is a multilinear map `M' → M₂`, then `g` can be reinterpreted as a multilinear
map from `Π i, M₁ᵢ ⟶ M₁ᵢ'` to `M ⟶ M₂` via `(fᵢ) ↦ v ↦ g(fᵢ vᵢ)`.
-/
@[simps!] def piLinearMap :
MultilinearMap R M₁' M₂ →ₗ[R]
MultilinearMap R (fun i ↦ M₁ i →ₗ[R] M₁' i) (MultilinearMap R M₁ M₂) where
toFun g := (LinearMap.applyₗ g).compMultilinearMap compLinearMapMultilinear
map_add' := by simp
map_smul' := by simp
end
/-- If one multiplies by `c i` the coordinates in a finset `s`, then the image under a multilinear
map is multiplied by `∏ i ∈ s, c i`. This is mainly an auxiliary statement to prove the result when
`s = univ`, given in `map_smul_univ`, although it can be useful in its own right as it does not
require the index set `ι` to be finite. -/
theorem map_piecewise_smul [DecidableEq ι] (c : ι → R) (m : ∀ i, M₁ i) (s : Finset ι) :
f (s.piecewise (fun i => c i • m i) m) = (∏ i ∈ s, c i) • f m := by
refine s.induction_on (by simp) ?_
intro j s j_not_mem_s Hrec
have A :
Function.update (s.piecewise (fun i => c i • m i) m) j (m j) =
s.piecewise (fun i => c i • m i) m := by
ext i
by_cases h : i = j
· rw [h]
simp [j_not_mem_s]
· simp [h]
rw [s.piecewise_insert, f.map_update_smul, A, Hrec]
simp [j_not_mem_s, mul_smul]
/-- Multiplicativity of a multilinear map along all coordinates at the same time,
writing `f (fun i => c i • m i)` as `(∏ i, c i) • f m`. -/
theorem map_smul_univ [Fintype ι] (c : ι → R) (m : ∀ i, M₁ i) :
(f fun i => c i • m i) = (∏ i, c i) • f m := by
classical simpa using map_piecewise_smul f c m Finset.univ
@[simp]
theorem map_update_smul_left [DecidableEq ι] [Fintype ι]
(m : ∀ i, M₁ i) (i : ι) (c : R) (x : M₁ i) :
f (update (c • m) i x) = c ^ (Fintype.card ι - 1) • f (update m i x) := by
have :
f ((Finset.univ.erase i).piecewise (c • update m i x) (update m i x)) =
(∏ _i ∈ Finset.univ.erase i, c) • f (update m i x) :=
map_piecewise_smul f _ _ _
simpa [← Function.update_smul c m] using this
section
variable (R ι)
variable (A : Type*) [CommSemiring A] [Algebra R A] [Fintype ι]
/-- Given an `R`-algebra `A`, `mkPiAlgebra` is the multilinear map on `A^ι` associating
to `m` the product of all the `m i`.
See also `MultilinearMap.mkPiAlgebraFin` for a version that works with a non-commutative
algebra `A` but requires `ι = Fin n`. -/
protected def mkPiAlgebra : MultilinearMap R (fun _ : ι => A) A where
toFun m := ∏ i, m i
map_update_add' m i x y := by simp [Finset.prod_update_of_mem, add_mul]
map_update_smul' m i c x := by simp [Finset.prod_update_of_mem]
variable {R A ι}
@[simp]
theorem mkPiAlgebra_apply (m : ι → A) : MultilinearMap.mkPiAlgebra R ι A m = ∏ i, m i :=
rfl
end
section
variable (R n)
variable (A : Type*) [Semiring A] [Algebra R A]
/-- Given an `R`-algebra `A`, `mkPiAlgebraFin` is the multilinear map on `A^n` associating
to `m` the product of all the `m i`.
See also `MultilinearMap.mkPiAlgebra` for a version that assumes `[CommSemiring A]` but works
for `A^ι` with any finite type `ι`. -/
protected def mkPiAlgebraFin : MultilinearMap R (fun _ : Fin n => A) A :=
MultilinearMap.mk' (fun m ↦ (List.ofFn m).prod)
(fun m i x y ↦ by
have : (List.finRange n).idxOf i < n := by simp
simp [List.ofFn_eq_map, (List.nodup_finRange n).map_update, List.prod_set, add_mul, this,
mul_add, add_mul])
(fun m i c x ↦ by
have : (List.finRange n).idxOf i < n := by simp
simp [List.ofFn_eq_map, (List.nodup_finRange n).map_update, List.prod_set, this])
variable {R A n}
@[simp]
theorem mkPiAlgebraFin_apply (m : Fin n → A) :
MultilinearMap.mkPiAlgebraFin R n A m = (List.ofFn m).prod :=
rfl
theorem mkPiAlgebraFin_apply_const (a : A) :
(MultilinearMap.mkPiAlgebraFin R n A fun _ => a) = a ^ n := by simp
end
/-- Given an `R`-multilinear map `f` taking values in `R`, `f.smulRight z` is the map
sending `m` to `f m • z`. -/
def smulRight (f : MultilinearMap R M₁ R) (z : M₂) : MultilinearMap R M₁ M₂ :=
(LinearMap.smulRight LinearMap.id z).compMultilinearMap f
@[simp]
theorem smulRight_apply (f : MultilinearMap R M₁ R) (z : M₂) (m : ∀ i, M₁ i) :
f.smulRight z m = f m • z :=
rfl
variable (R ι)
/-- The canonical multilinear map on `R^ι` when `ι` is finite, associating to `m` the product of
all the `m i` (multiplied by a fixed reference element `z` in the target module). See also
`mkPiAlgebra` for a more general version. -/
protected def mkPiRing [Fintype ι] (z : M₂) : MultilinearMap R (fun _ : ι => R) M₂ :=
(MultilinearMap.mkPiAlgebra R ι R).smulRight z
variable {R ι}
@[simp]
theorem mkPiRing_apply [Fintype ι] (z : M₂) (m : ι → R) :
(MultilinearMap.mkPiRing R ι z : (ι → R) → M₂) m = (∏ i, m i) • z :=
rfl
theorem mkPiRing_apply_one_eq_self [Fintype ι] (f : MultilinearMap R (fun _ : ι => R) M₂) :
MultilinearMap.mkPiRing R ι (f fun _ => 1) = f := by
ext m
have : m = fun i => m i • (1 : R) := by
ext j
simp
conv_rhs => rw [this, f.map_smul_univ]
rfl
theorem mkPiRing_eq_iff [Fintype ι] {z₁ z₂ : M₂} :
MultilinearMap.mkPiRing R ι z₁ = MultilinearMap.mkPiRing R ι z₂ ↔ z₁ = z₂ := by
simp_rw [MultilinearMap.ext_iff, mkPiRing_apply]
constructor <;> intro h
· simpa using h fun _ => 1
· intro x
simp [h]
theorem mkPiRing_zero [Fintype ι] : MultilinearMap.mkPiRing R ι (0 : M₂) = 0 := by
ext; rw [mkPiRing_apply, smul_zero, MultilinearMap.zero_apply]
theorem mkPiRing_eq_zero_iff [Fintype ι] (z : M₂) : MultilinearMap.mkPiRing R ι z = 0 ↔ z = 0 := by
rw [← mkPiRing_zero, mkPiRing_eq_iff]
end CommSemiring
section RangeAddCommGroup
variable [Semiring R] [∀ i, AddCommMonoid (M₁ i)] [AddCommGroup M₂] [∀ i, Module R (M₁ i)]
[Module R M₂] (f g : MultilinearMap R M₁ M₂)
instance : Neg (MultilinearMap R M₁ M₂) :=
⟨fun f => ⟨fun m => -f m, fun m i x y => by simp [add_comm], fun m i c x => by simp⟩⟩
@[simp]
theorem neg_apply (m : ∀ i, M₁ i) : (-f) m = -f m :=
rfl
instance : Sub (MultilinearMap R M₁ M₂) :=
⟨fun f g =>
⟨fun m => f m - g m, fun m i x y => by
simp only [MultilinearMap.map_update_add, sub_eq_add_neg, neg_add]
abel,
fun m i c x => by simp only [MultilinearMap.map_update_smul, smul_sub]⟩⟩
@[simp]
theorem sub_apply (m : ∀ i, M₁ i) : (f - g) m = f m - g m :=
rfl
instance : AddCommGroup (MultilinearMap R M₁ M₂) :=
{ MultilinearMap.addCommMonoid with
neg_add_cancel := fun _ => MultilinearMap.ext fun _ => neg_add_cancel _
sub_eq_add_neg := fun _ _ => MultilinearMap.ext fun _ => sub_eq_add_neg _ _
zsmul := fun n f =>
{ toFun := fun m => n • f m
map_update_add' := fun m i x y => by simp [smul_add]
map_update_smul' := fun l i x d => by simp [← smul_comm x n (_ : M₂)] }
zsmul_zero' := fun _ => MultilinearMap.ext fun _ => SubNegMonoid.zsmul_zero' _
zsmul_succ' := fun _ _ => MultilinearMap.ext fun _ => SubNegMonoid.zsmul_succ' _ _
zsmul_neg' := fun _ _ => MultilinearMap.ext fun _ => SubNegMonoid.zsmul_neg' _ _ }
end RangeAddCommGroup
section AddCommGroup
variable [Semiring R] [∀ i, AddCommGroup (M₁ i)] [AddCommGroup M₂] [∀ i, Module R (M₁ i)]
[Module R M₂] (f : MultilinearMap R M₁ M₂)
@[simp]
theorem map_update_neg [DecidableEq ι] (m : ∀ i, M₁ i) (i : ι) (x : M₁ i) :
f (update m i (-x)) = -f (update m i x) :=
eq_neg_of_add_eq_zero_left <| by
rw [← MultilinearMap.map_update_add, neg_add_cancel, f.map_coord_zero i (update_self i 0 m)]
@[deprecated (since := "2024-11-03")] protected alias map_neg := MultilinearMap.map_update_neg
@[simp]
theorem map_update_sub [DecidableEq ι] (m : ∀ i, M₁ i) (i : ι) (x y : M₁ i) :
f (update m i (x - y)) = f (update m i x) - f (update m i y) := by
rw [sub_eq_add_neg, sub_eq_add_neg, MultilinearMap.map_update_add, map_update_neg]
@[deprecated (since := "2024-11-03")] protected alias map_sub := MultilinearMap.map_update_sub
lemma map_update [DecidableEq ι] (x : (i : ι) → M₁ i) (i : ι) (v : M₁ i) :
f (update x i v) = f x - f (update x i (x i - v)) := by
rw [map_update_sub, update_eq_self, sub_sub_cancel]
open Finset in
lemma map_sub_map_piecewise [LinearOrder ι] (a b : (i : ι) → M₁ i) (s : Finset ι) :
f a - f (s.piecewise b a) =
∑ i ∈ s, f (fun j ↦ if j ∈ s → j < i then a j else if i = j then a j - b j else b j) := by
refine s.induction_on_min ?_ fun k s hk ih ↦ ?_
· rw [Finset.piecewise_empty, sum_empty, sub_self]
rw [Finset.piecewise_insert, map_update, ← sub_add, ih,
add_comm, sum_insert (lt_irrefl _ <| hk k ·)]
simp_rw [s.mem_insert]
congr 1
· congr; ext i; split_ifs with h₁ h₂
· rw [update_of_ne, Finset.piecewise_eq_of_not_mem]
· exact fun h ↦ (hk i h).not_lt (h₁ <| .inr h)
· exact fun h ↦ (h₁ <| .inl h).ne h
· cases h₂
rw [update_self, s.piecewise_eq_of_not_mem _ _ (lt_irrefl _ <| hk k ·)]
· push_neg at h₁
rw [update_of_ne (Ne.symm h₂), s.piecewise_eq_of_mem _ _ (h₁.1.resolve_left <| Ne.symm h₂)]
· apply sum_congr rfl; intro i hi; congr; ext j; congr 1; apply propext
simp_rw [imp_iff_not_or, not_or]; apply or_congr_left'
intro h; rw [and_iff_right]; rintro rfl; exact h (hk i hi)
/-- This calculates the differences between the values of a multilinear map at
two arguments that differ on a finset `s` of `ι`. It requires a
linear order on `ι` in order to express the result. -/
lemma map_piecewise_sub_map_piecewise [LinearOrder ι] (a b v : (i : ι) → M₁ i) (s : Finset ι) :
f (s.piecewise a v) - f (s.piecewise b v) = ∑ i ∈ s, f
fun j ↦ if j ∈ s then if j < i then a j else if j = i then a j - b j else b j else v j := by
rw [← s.piecewise_idem_right b a, map_sub_map_piecewise]
refine Finset.sum_congr rfl fun i hi ↦ congr_arg f <| funext fun j ↦ ?_
by_cases hjs : j ∈ s
· rw [if_pos hjs]; by_cases hji : j < i
· rw [if_pos fun _ ↦ hji, if_pos hji, s.piecewise_eq_of_mem _ _ hjs]
rw [if_neg (Classical.not_imp.mpr ⟨hjs, hji⟩), if_neg hji]
obtain rfl | hij := eq_or_ne i j
· rw [if_pos rfl, if_pos rfl, s.piecewise_eq_of_mem _ _ hi]
· rw [if_neg hij, if_neg hij.symm]
· rw [if_neg hjs, if_pos fun h ↦ (hjs h).elim, s.piecewise_eq_of_not_mem _ _ hjs]
open Finset in
lemma map_add_eq_map_add_linearDeriv_add [DecidableEq ι] [Fintype ι] (x h : (i : ι) → M₁ i) :
f (x + h) = f x + f.linearDeriv x h + ∑ s with 2 ≤ #s, f (s.piecewise h x) := by
rw [add_comm, map_add_univ, ← Finset.powerset_univ,
← sum_filter_add_sum_filter_not _ (2 ≤ #·)]
simp_rw [not_le, Nat.lt_succ, le_iff_lt_or_eq (b := 1), Nat.lt_one_iff, filter_or,
← powersetCard_eq_filter, sum_union (univ.pairwise_disjoint_powersetCard zero_ne_one),
powersetCard_zero, powersetCard_one, sum_singleton, Finset.piecewise_empty, sum_map,
Function.Embedding.coeFn_mk, Finset.piecewise_singleton, linearDeriv_apply, add_comm]
open Finset in
/-- This expresses the difference between the values of a multilinear map
at two points "close to `x`" in terms of the "derivative" of the multilinear map at `x`
and of "second-order" terms. -/
lemma map_add_sub_map_add_sub_linearDeriv [DecidableEq ι] [Fintype ι] (x h h' : (i : ι) → M₁ i) :
f (x + h) - f (x + h') - f.linearDeriv x (h - h') =
∑ s with 2 ≤ #s, (f (s.piecewise h x) - f (s.piecewise h' x)) := by
simp_rw [map_add_eq_map_add_linearDeriv_add, add_assoc, add_sub_add_comm, sub_self, zero_add,
← LinearMap.map_sub, add_sub_cancel_left, sum_sub_distrib]
end AddCommGroup
section CommSemiring
variable [CommSemiring R] [∀ i, AddCommMonoid (M₁ i)] [AddCommMonoid M₂] [∀ i, Module R (M₁ i)]
[Module R M₂]
/-- When `ι` is finite, multilinear maps on `R^ι` with values in `M₂` are in bijection with `M₂`,
as such a multilinear map is completely determined by its value on the constant vector made of ones.
We register this bijection as a linear equivalence in `MultilinearMap.piRingEquiv`. -/
protected def piRingEquiv [Fintype ι] : M₂ ≃ₗ[R] MultilinearMap R (fun _ : ι => R) M₂ where
toFun z := MultilinearMap.mkPiRing R ι z
invFun f := f fun _ => 1
map_add' z z' := by
ext m
simp [smul_add]
map_smul' c z := by
ext m
simp [smul_smul, mul_comm]
left_inv z := by simp
right_inv f := f.mkPiRing_apply_one_eq_self
end CommSemiring
section Submodule
variable [Ring R] [∀ i, AddCommMonoid (M₁ i)] [AddCommMonoid M'] [AddCommMonoid M₂]
[∀ i, Module R (M₁ i)] [Module R M'] [Module R M₂]
/-- The pushforward of an indexed collection of submodule `p i ⊆ M₁ i` by `f : M₁ → M₂`.
Note that this is not a submodule - it is not closed under addition. -/
def map [Nonempty ι] (f : MultilinearMap R M₁ M₂) (p : ∀ i, Submodule R (M₁ i)) :
SubMulAction R M₂ where
carrier := f '' { v | ∀ i, v i ∈ p i }
smul_mem' := fun c _ ⟨x, hx, hf⟩ => by
let ⟨i⟩ := ‹Nonempty ι›
letI := Classical.decEq ι
refine ⟨update x i (c • x i), fun j => if hij : j = i then ?_ else ?_, hf ▸ ?_⟩
· rw [hij, update_self]
exact (p i).smul_mem _ (hx i)
· rw [update_of_ne hij]
exact hx j
· rw [f.map_update_smul, update_eq_self]
/-- The map is always nonempty. This lemma is needed to apply `SubMulAction.zero_mem`. -/
theorem map_nonempty [Nonempty ι] (f : MultilinearMap R M₁ M₂) (p : ∀ i, Submodule R (M₁ i)) :
(map f p : Set M₂).Nonempty :=
⟨f 0, 0, fun i => (p i).zero_mem, rfl⟩
/-- The range of a multilinear map, closed under scalar multiplication. -/
def range [Nonempty ι] (f : MultilinearMap R M₁ M₂) : SubMulAction R M₂ :=
f.map fun _ => ⊤
end Submodule
end MultilinearMap
| Mathlib/LinearAlgebra/Multilinear/Basic.lean | 1,527 | 1,531 | |
/-
Copyright (c) 2020 Aaron Anderson. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Aaron Anderson, Jalex Stark, Kyle Miller, Lu-Ming Zhang
-/
import Mathlib.Combinatorics.SimpleGraph.Basic
import Mathlib.Combinatorics.SimpleGraph.Connectivity.WalkCounting
import Mathlib.LinearAlgebra.Matrix.Trace
import Mathlib.LinearAlgebra.Matrix.Symmetric
/-!
# Adjacency Matrices
This module defines the adjacency matrix of a graph, and provides theorems connecting graph
properties to computational properties of the matrix.
## Main definitions
* `Matrix.IsAdjMatrix`: `A : Matrix V V α` is qualified as an "adjacency matrix" if
(1) every entry of `A` is `0` or `1`,
(2) `A` is symmetric,
(3) every diagonal entry of `A` is `0`.
* `Matrix.IsAdjMatrix.to_graph`: for `A : Matrix V V α` and `h : A.IsAdjMatrix`,
`h.to_graph` is the simple graph induced by `A`.
* `Matrix.compl`: for `A : Matrix V V α`, `A.compl` is supposed to be
the adjacency matrix of the complement graph of the graph induced by `A`.
* `SimpleGraph.adjMatrix`: the adjacency matrix of a `SimpleGraph`.
* `SimpleGraph.adjMatrix_pow_apply_eq_card_walk`: each entry of the `n`th power of
a graph's adjacency matrix counts the number of length-`n` walks between the corresponding
pair of vertices.
-/
open Matrix
open Finset Matrix SimpleGraph
variable {V α : Type*}
namespace Matrix
/-- `A : Matrix V V α` is qualified as an "adjacency matrix" if
(1) every entry of `A` is `0` or `1`,
(2) `A` is symmetric,
(3) every diagonal entry of `A` is `0`. -/
structure IsAdjMatrix [Zero α] [One α] (A : Matrix V V α) : Prop where
zero_or_one : ∀ i j, A i j = 0 ∨ A i j = 1 := by aesop
symm : A.IsSymm := by aesop
apply_diag : ∀ i, A i i = 0 := by aesop
namespace IsAdjMatrix
variable {A : Matrix V V α}
@[simp]
theorem apply_diag_ne [MulZeroOneClass α] [Nontrivial α] (h : IsAdjMatrix A) (i : V) :
¬A i i = 1 := by simp [h.apply_diag i]
@[simp]
theorem apply_ne_one_iff [MulZeroOneClass α] [Nontrivial α] (h : IsAdjMatrix A) (i j : V) :
¬A i j = 1 ↔ A i j = 0 := by obtain h | h := h.zero_or_one i j <;> simp [h]
@[simp]
theorem apply_ne_zero_iff [MulZeroOneClass α] [Nontrivial α] (h : IsAdjMatrix A) (i j : V) :
¬A i j = 0 ↔ A i j = 1 := by rw [← apply_ne_one_iff h, Classical.not_not]
/-- For `A : Matrix V V α` and `h : IsAdjMatrix A`,
`h.toGraph` is the simple graph whose adjacency matrix is `A`. -/
@[simps]
def toGraph [MulZeroOneClass α] [Nontrivial α] (h : IsAdjMatrix A) : SimpleGraph V where
Adj i j := A i j = 1
symm i j hij := by simp only; rwa [h.symm.apply i j]
loopless i := by simp [h]
instance [MulZeroOneClass α] [Nontrivial α] [DecidableEq α] (h : IsAdjMatrix A) :
DecidableRel h.toGraph.Adj := by
simp only [toGraph]
infer_instance
end IsAdjMatrix
/-- For `A : Matrix V V α`, `A.compl` is supposed to be the adjacency matrix of
the complement graph of the graph induced by `A.adjMatrix`. -/
def compl [Zero α] [One α] [DecidableEq α] [DecidableEq V] (A : Matrix V V α) : Matrix V V α :=
fun i j => ite (i = j) 0 (ite (A i j = 0) 1 0)
section Compl
variable [DecidableEq α] [DecidableEq V] (A : Matrix V V α)
@[simp]
theorem compl_apply_diag [Zero α] [One α] (i : V) : A.compl i i = 0 := by simp [compl]
@[simp]
theorem compl_apply [Zero α] [One α] (i j : V) : A.compl i j = 0 ∨ A.compl i j = 1 := by
unfold compl
split_ifs <;> simp
@[simp]
theorem isSymm_compl [Zero α] [One α] (h : A.IsSymm) : A.compl.IsSymm := by
ext
simp [compl, h.apply, eq_comm]
@[simp]
theorem isAdjMatrix_compl [Zero α] [One α] (h : A.IsSymm) : IsAdjMatrix A.compl :=
{ symm := by simp [h] }
namespace IsAdjMatrix
variable {A}
@[simp]
theorem compl [Zero α] [One α] (h : IsAdjMatrix A) : IsAdjMatrix A.compl :=
isAdjMatrix_compl A h.symm
theorem toGraph_compl_eq [MulZeroOneClass α] [Nontrivial α] (h : IsAdjMatrix A) :
h.compl.toGraph = h.toGraphᶜ := by
ext v w
rcases h.zero_or_one v w with h | h <;> by_cases hvw : v = w <;> simp [Matrix.compl, h, hvw]
end IsAdjMatrix
end Compl
end Matrix
open Matrix
namespace SimpleGraph
variable (G : SimpleGraph V) [DecidableRel G.Adj]
variable (α) in
/-- `adjMatrix G α` is the matrix `A` such that `A i j = (1 : α)` if `i` and `j` are
adjacent in the simple graph `G`, and otherwise `A i j = 0`. -/
def adjMatrix [Zero α] [One α] : Matrix V V α :=
of fun i j => if G.Adj i j then (1 : α) else 0
-- TODO: set as an equation lemma for `adjMatrix`, see https://github.com/leanprover-community/mathlib4/pull/3024
@[simp]
theorem adjMatrix_apply (v w : V) [Zero α] [One α] :
G.adjMatrix α v w = if G.Adj v w then 1 else 0 :=
rfl
@[simp]
theorem transpose_adjMatrix [Zero α] [One α] : (G.adjMatrix α)ᵀ = G.adjMatrix α := by
ext
simp [adj_comm]
@[simp]
theorem isSymm_adjMatrix [Zero α] [One α] : (G.adjMatrix α).IsSymm :=
transpose_adjMatrix G
variable (α)
/-- The adjacency matrix of `G` is an adjacency matrix. -/
@[simp]
theorem isAdjMatrix_adjMatrix [Zero α] [One α] : (G.adjMatrix α).IsAdjMatrix :=
{ zero_or_one := fun i j => by by_cases h : G.Adj i j <;> simp [h] }
/-- The graph induced by the adjacency matrix of `G` is `G` itself. -/
theorem toGraph_adjMatrix_eq [MulZeroOneClass α] [Nontrivial α] :
(G.isAdjMatrix_adjMatrix α).toGraph = G := by
ext
simp only [IsAdjMatrix.toGraph_adj, adjMatrix_apply, ite_eq_left_iff, zero_ne_one]
apply Classical.not_not
variable {α}
/-- The sum of the identity, the adjacency matrix, and its complement is the all-ones matrix. -/
theorem one_add_adjMatrix_add_compl_adjMatrix_eq_allOnes [DecidableEq V] [DecidableEq α]
[AddMonoidWithOne α] : 1 + G.adjMatrix α + (G.adjMatrix α).compl = Matrix.of fun _ _ ↦ 1 := by
ext i j
unfold Matrix.compl
rw [of_apply, add_apply, adjMatrix_apply, add_apply, adjMatrix_apply, one_apply]
by_cases h : G.Adj i j
· aesop
· split_ifs <;> simp_all
variable [Fintype V]
@[simp]
| theorem adjMatrix_dotProduct [NonAssocSemiring α] (v : V) (vec : V → α) :
dotProduct (G.adjMatrix α v) vec = ∑ u ∈ G.neighborFinset v, vec u := by
simp [neighborFinset_eq_filter, dotProduct, sum_filter]
@[simp]
| Mathlib/Combinatorics/SimpleGraph/AdjMatrix.lean | 188 | 192 |
/-
Copyright (c) 2022 Damiano Testa. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Damiano Testa
-/
import Mathlib.Algebra.Group.Nat.Even
import Mathlib.Data.Nat.Cast.Basic
import Mathlib.Data.Nat.Cast.Commute
import Mathlib.Data.Set.Operations
import Mathlib.Logic.Function.Iterate
/-!
# Even and odd elements in rings
This file defines odd elements and proves some general facts about even and odd elements of rings.
As opposed to `Even`, `Odd` does not have a multiplicative counterpart.
## TODO
Try to generalize `Even` lemmas further. For example, there are still a few lemmas whose `Semiring`
assumptions I (DT) am not convinced are necessary. If that turns out to be true, they could be moved
to `Mathlib.Algebra.Group.Even`.
## See also
`Mathlib.Algebra.Group.Even` for the definition of even elements.
-/
assert_not_exists DenselyOrdered OrderedRing
open MulOpposite
variable {F α β : Type*}
section Monoid
variable [Monoid α] [HasDistribNeg α] {n : ℕ} {a : α}
@[simp] lemma Even.neg_pow : Even n → ∀ a : α, (-a) ^ n = a ^ n := by
rintro ⟨c, rfl⟩ a
simp_rw [← two_mul, pow_mul, neg_sq]
lemma Even.neg_one_pow (h : Even n) : (-1 : α) ^ n = 1 := by rw [h.neg_pow, one_pow]
end Monoid
section DivisionMonoid
variable [DivisionMonoid α] [HasDistribNeg α] {a : α} {n : ℤ}
lemma Even.neg_zpow : Even n → ∀ a : α, (-a) ^ n = a ^ n := by
rintro ⟨c, rfl⟩ a; simp_rw [← Int.two_mul, zpow_mul, zpow_two, neg_mul_neg]
lemma Even.neg_one_zpow (h : Even n) : (-1 : α) ^ n = 1 := by rw [h.neg_zpow, one_zpow]
end DivisionMonoid
@[simp] lemma IsSquare.zero [MulZeroClass α] : IsSquare (0 : α) := ⟨0, (mul_zero _).symm⟩
section Semiring
variable [Semiring α] [Semiring β] {a b : α} {m n : ℕ}
lemma even_iff_exists_two_mul : Even a ↔ ∃ b, a = 2 * b := by simp [even_iff_exists_two_nsmul]
lemma even_iff_two_dvd : Even a ↔ 2 ∣ a := by simp [Even, Dvd.dvd, two_mul]
alias ⟨Even.two_dvd, _⟩ := even_iff_two_dvd
lemma Even.trans_dvd (ha : Even a) (hab : a ∣ b) : Even b :=
even_iff_two_dvd.2 <| ha.two_dvd.trans hab
lemma Dvd.dvd.even (hab : a ∣ b) (ha : Even a) : Even b := ha.trans_dvd hab
@[simp] lemma range_two_mul (α) [NonAssocSemiring α] :
Set.range (fun x : α ↦ 2 * x) = {a | Even a} := by
ext x
simp [eq_comm, two_mul, Even]
@[simp] lemma even_two : Even (2 : α) := ⟨1, by rw [one_add_one_eq_two]⟩
@[simp] lemma Even.mul_left (ha : Even a) (b) : Even (b * a) := ha.map (AddMonoidHom.mulLeft _)
@[simp] lemma Even.mul_right (ha : Even a) (b) : Even (a * b) := ha.map (AddMonoidHom.mulRight _)
lemma even_two_mul (a : α) : Even (2 * a) := ⟨a, two_mul _⟩
lemma Even.pow_of_ne_zero (ha : Even a) : ∀ {n : ℕ}, n ≠ 0 → Even (a ^ n)
| n + 1, _ => by rw [pow_succ]; exact ha.mul_left _
/-- An element `a` of a semiring is odd if there exists `k` such `a = 2*k + 1`. -/
def Odd (a : α) : Prop := ∃ k, a = 2 * k + 1
lemma odd_iff_exists_bit1 : Odd a ↔ ∃ b, a = 2 * b + 1 := exists_congr fun b ↦ by rw [two_mul]
alias ⟨Odd.exists_bit1, _⟩ := odd_iff_exists_bit1
@[simp] lemma range_two_mul_add_one (α : Type*) [Semiring α] :
Set.range (fun x : α ↦ 2 * x + 1) = {a | Odd a} := by ext x; simp [Odd, eq_comm]
lemma Even.add_odd : Even a → Odd b → Odd (a + b) := by
rintro ⟨a, rfl⟩ ⟨b, rfl⟩; exact ⟨a + b, by rw [mul_add, ← two_mul, add_assoc]⟩
lemma Even.odd_add (ha : Even a) (hb : Odd b) : Odd (b + a) := add_comm a b ▸ ha.add_odd hb
lemma Odd.add_even (ha : Odd a) (hb : Even b) : Odd (a + b) := add_comm a b ▸ hb.add_odd ha
lemma Odd.add_odd : Odd a → Odd b → Even (a + b) := by
rintro ⟨a, rfl⟩ ⟨b, rfl⟩
refine ⟨a + b + 1, ?_⟩
rw [two_mul, two_mul]
ac_rfl
@[simp] lemma odd_one : Odd (1 : α) :=
⟨0, (zero_add _).symm.trans (congr_arg (· + (1 : α)) (mul_zero _).symm)⟩
@[simp] lemma Even.add_one (h : Even a) : Odd (a + 1) := h.add_odd odd_one
| @[simp] lemma Even.one_add (h : Even a) : Odd (1 + a) := h.odd_add odd_one
| Mathlib/Algebra/Ring/Parity.lean | 115 | 115 |
/-
Copyright (c) 2020 Rémy Degenne. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Rémy Degenne
-/
import Mathlib.Analysis.MeanInequalities
import Mathlib.Analysis.MeanInequalitiesPow
import Mathlib.MeasureTheory.Function.SpecialFunctions.Basic
import Mathlib.MeasureTheory.Integral.Lebesgue.Add
/-!
# Mean value inequalities for integrals
In this file we prove several inequalities on integrals, notably the Hölder inequality and
the Minkowski inequality. The versions for finite sums are in `Analysis.MeanInequalities`.
## Main results
Hölder's inequality for the Lebesgue integral of `ℝ≥0∞` and `ℝ≥0` functions: we prove
`∫ (f * g) ∂μ ≤ (∫ f^p ∂μ) ^ (1/p) * (∫ g^q ∂μ) ^ (1/q)` for `p`, `q` conjugate real exponents
and `α → (E)NNReal` functions in two cases,
* `ENNReal.lintegral_mul_le_Lp_mul_Lq` : ℝ≥0∞ functions,
* `NNReal.lintegral_mul_le_Lp_mul_Lq` : ℝ≥0 functions.
`ENNReal.lintegral_mul_norm_pow_le` is a variant where the exponents are not reciprocals:
`∫ (f ^ p * g ^ q) ∂μ ≤ (∫ f ∂μ) ^ p * (∫ g ∂μ) ^ q` where `p, q ≥ 0` and `p + q = 1`.
`ENNReal.lintegral_prod_norm_pow_le` generalizes this to a finite family of functions:
`∫ (∏ i, f i ^ p i) ∂μ ≤ ∏ i, (∫ f i ∂μ) ^ p i` when the `p` is a collection
of nonnegative weights with sum 1.
Minkowski's inequality for the Lebesgue integral of measurable functions with `ℝ≥0∞` values:
we prove `(∫ (f + g)^p ∂μ) ^ (1/p) ≤ (∫ f^p ∂μ) ^ (1/p) + (∫ g^p ∂μ) ^ (1/p)` for `1 ≤ p`.
-/
section LIntegral
/-!
### Hölder's inequality for the Lebesgue integral of ℝ≥0∞ and ℝ≥0 functions
We prove `∫ (f * g) ∂μ ≤ (∫ f^p ∂μ) ^ (1/p) * (∫ g^q ∂μ) ^ (1/q)` for `p`, `q`
conjugate real exponents and `α → (E)NNReal` functions in several cases, the first two being useful
only to prove the more general results:
* `ENNReal.lintegral_mul_le_one_of_lintegral_rpow_eq_one` : ℝ≥0∞ functions for which the
integrals on the right are equal to 1,
* `ENNReal.lintegral_mul_le_Lp_mul_Lq_of_ne_zero_of_ne_top` : ℝ≥0∞ functions for which the
integrals on the right are neither ⊤ nor 0,
* `ENNReal.lintegral_mul_le_Lp_mul_Lq` : ℝ≥0∞ functions,
* `NNReal.lintegral_mul_le_Lp_mul_Lq` : ℝ≥0 functions.
-/
noncomputable section
open NNReal ENNReal MeasureTheory Finset
variable {α : Type*} [MeasurableSpace α] {μ : Measure α}
namespace ENNReal
theorem lintegral_mul_le_one_of_lintegral_rpow_eq_one {p q : ℝ} (hpq : p.HolderConjugate q)
{f g : α → ℝ≥0∞} (hf : AEMeasurable f μ) (hf_norm : ∫⁻ a, f a ^ p ∂μ = 1)
(hg_norm : ∫⁻ a, g a ^ q ∂μ = 1) : (∫⁻ a, (f * g) a ∂μ) ≤ 1 := by
calc
(∫⁻ a : α, (f * g) a ∂μ) ≤
∫⁻ a : α, f a ^ p / ENNReal.ofReal p + g a ^ q / ENNReal.ofReal q ∂μ :=
lintegral_mono fun a => young_inequality (f a) (g a) hpq
_ = 1 := by
simp only [div_eq_mul_inv]
rw [lintegral_add_left']
· rw [lintegral_mul_const'' _ (hf.pow_const p), lintegral_mul_const', hf_norm, hg_norm,
one_mul, one_mul, hpq.inv_add_inv_ennreal]
simp [hpq.symm.pos]
· exact (hf.pow_const _).mul_const _
/-- Function multiplied by the inverse of its p-seminorm `(∫⁻ f^p ∂μ) ^ 1/p` -/
def funMulInvSnorm (f : α → ℝ≥0∞) (p : ℝ) (μ : Measure α) : α → ℝ≥0∞ := fun a =>
f a * ((∫⁻ c, f c ^ p ∂μ) ^ (1 / p))⁻¹
theorem fun_eq_funMulInvSnorm_mul_eLpNorm {p : ℝ} (f : α → ℝ≥0∞)
(hf_nonzero : (∫⁻ a, f a ^ p ∂μ) ≠ 0) (hf_top : (∫⁻ a, f a ^ p ∂μ) ≠ ⊤) {a : α} :
f a = funMulInvSnorm f p μ a * (∫⁻ c, f c ^ p ∂μ) ^ (1 / p) := by
simp [funMulInvSnorm, mul_assoc, ENNReal.inv_mul_cancel, hf_nonzero, hf_top]
theorem funMulInvSnorm_rpow {p : ℝ} (hp0 : 0 < p) {f : α → ℝ≥0∞} {a : α} :
funMulInvSnorm f p μ a ^ p = f a ^ p * (∫⁻ c, f c ^ p ∂μ)⁻¹ := by
rw [funMulInvSnorm, mul_rpow_of_nonneg _ _ (le_of_lt hp0)]
suffices h_inv_rpow : ((∫⁻ c : α, f c ^ p ∂μ) ^ (1 / p))⁻¹ ^ p = (∫⁻ c : α, f c ^ p ∂μ)⁻¹ by
rw [h_inv_rpow]
rw [inv_rpow, ← rpow_mul, one_div_mul_cancel hp0.ne', rpow_one]
theorem lintegral_rpow_funMulInvSnorm_eq_one {p : ℝ} (hp0_lt : 0 < p) {f : α → ℝ≥0∞}
(hf_nonzero : (∫⁻ a, f a ^ p ∂μ) ≠ 0) (hf_top : (∫⁻ a, f a ^ p ∂μ) ≠ ⊤) :
∫⁻ c, funMulInvSnorm f p μ c ^ p ∂μ = 1 := by
simp_rw [funMulInvSnorm_rpow hp0_lt]
rw [lintegral_mul_const', ENNReal.mul_inv_cancel hf_nonzero hf_top]
rwa [inv_ne_top]
/-- Hölder's inequality in case of finite non-zero integrals -/
theorem lintegral_mul_le_Lp_mul_Lq_of_ne_zero_of_ne_top {p q : ℝ} (hpq : p.HolderConjugate q)
{f g : α → ℝ≥0∞} (hf : AEMeasurable f μ) (hf_nontop : (∫⁻ a, f a ^ p ∂μ) ≠ ⊤)
(hg_nontop : (∫⁻ a, g a ^ q ∂μ) ≠ ⊤) (hf_nonzero : (∫⁻ a, f a ^ p ∂μ) ≠ 0)
(hg_nonzero : (∫⁻ a, g a ^ q ∂μ) ≠ 0) :
(∫⁻ a, (f * g) a ∂μ) ≤ (∫⁻ a, f a ^ p ∂μ) ^ (1 / p) * (∫⁻ a, g a ^ q ∂μ) ^ (1 / q) := by
let npf := (∫⁻ c : α, f c ^ p ∂μ) ^ (1 / p)
let nqg := (∫⁻ c : α, g c ^ q ∂μ) ^ (1 / q)
calc
(∫⁻ a : α, (f * g) a ∂μ) =
∫⁻ a : α, (funMulInvSnorm f p μ * funMulInvSnorm g q μ) a * (npf * nqg) ∂μ := by
refine lintegral_congr fun a => ?_
rw [Pi.mul_apply, fun_eq_funMulInvSnorm_mul_eLpNorm f hf_nonzero hf_nontop,
fun_eq_funMulInvSnorm_mul_eLpNorm g hg_nonzero hg_nontop, Pi.mul_apply]
ring
_ ≤ npf * nqg := by
rw [lintegral_mul_const' (npf * nqg) _
(by simp [npf, nqg, hf_nontop, hg_nontop, hf_nonzero, hg_nonzero, ENNReal.mul_eq_top])]
refine mul_le_of_le_one_left' ?_
have hf1 := lintegral_rpow_funMulInvSnorm_eq_one hpq.pos hf_nonzero hf_nontop
have hg1 := lintegral_rpow_funMulInvSnorm_eq_one hpq.symm.pos hg_nonzero hg_nontop
exact lintegral_mul_le_one_of_lintegral_rpow_eq_one hpq (hf.mul_const _) hf1 hg1
theorem ae_eq_zero_of_lintegral_rpow_eq_zero {p : ℝ} (hp0 : 0 ≤ p) {f : α → ℝ≥0∞}
(hf : AEMeasurable f μ) (hf_zero : ∫⁻ a, f a ^ p ∂μ = 0) : f =ᵐ[μ] 0 := by
rw [lintegral_eq_zero_iff' (hf.pow_const p)] at hf_zero
filter_upwards [hf_zero] with x
rw [Pi.zero_apply, ← not_imp_not]
exact fun hx => (rpow_pos_of_nonneg (pos_iff_ne_zero.2 hx) hp0).ne'
theorem lintegral_mul_eq_zero_of_lintegral_rpow_eq_zero {p : ℝ} (hp0 : 0 ≤ p) {f g : α → ℝ≥0∞}
(hf : AEMeasurable f μ) (hf_zero : ∫⁻ a, f a ^ p ∂μ = 0) : (∫⁻ a, (f * g) a ∂μ) = 0 := by
rw [← @lintegral_zero_fun α _ μ]
refine lintegral_congr_ae ?_
suffices h_mul_zero : f * g =ᵐ[μ] 0 * g by rwa [zero_mul] at h_mul_zero
have hf_eq_zero : f =ᵐ[μ] 0 := ae_eq_zero_of_lintegral_rpow_eq_zero hp0 hf hf_zero
exact hf_eq_zero.mul (ae_eq_refl g)
theorem lintegral_mul_le_Lp_mul_Lq_of_ne_zero_of_eq_top {p q : ℝ} (hp0_lt : 0 < p) (hq0 : 0 ≤ q)
{f g : α → ℝ≥0∞} (hf_top : ∫⁻ a, f a ^ p ∂μ = ⊤) (hg_nonzero : (∫⁻ a, g a ^ q ∂μ) ≠ 0) :
(∫⁻ a, (f * g) a ∂μ) ≤ (∫⁻ a, f a ^ p ∂μ) ^ (1 / p) * (∫⁻ a, g a ^ q ∂μ) ^ (1 / q) := by
refine le_trans le_top (le_of_eq ?_)
have hp0_inv_lt : 0 < 1 / p := by simp [hp0_lt]
rw [hf_top, ENNReal.top_rpow_of_pos hp0_inv_lt]
simp [hq0, hg_nonzero]
/-- Hölder's inequality for functions `α → ℝ≥0∞`. The integral of the product of two functions
is bounded by the product of their `ℒp` and `ℒq` seminorms when `p` and `q` are conjugate
exponents. -/
theorem lintegral_mul_le_Lp_mul_Lq (μ : Measure α) {p q : ℝ} (hpq : p.HolderConjugate q)
{f g : α → ℝ≥0∞} (hf : AEMeasurable f μ) (hg : AEMeasurable g μ) :
(∫⁻ a, (f * g) a ∂μ) ≤ (∫⁻ a, f a ^ p ∂μ) ^ (1 / p) * (∫⁻ a, g a ^ q ∂μ) ^ (1 / q) := by
by_cases hf_zero : ∫⁻ a, f a ^ p ∂μ = 0
· refine Eq.trans_le ?_ (zero_le _)
exact lintegral_mul_eq_zero_of_lintegral_rpow_eq_zero hpq.nonneg hf hf_zero
by_cases hg_zero : ∫⁻ a, g a ^ q ∂μ = 0
· refine Eq.trans_le ?_ (zero_le _)
rw [mul_comm]
exact lintegral_mul_eq_zero_of_lintegral_rpow_eq_zero hpq.symm.nonneg hg hg_zero
by_cases hf_top : ∫⁻ a, f a ^ p ∂μ = ⊤
· exact lintegral_mul_le_Lp_mul_Lq_of_ne_zero_of_eq_top hpq.pos hpq.symm.nonneg hf_top hg_zero
by_cases hg_top : ∫⁻ a, g a ^ q ∂μ = ⊤
· rw [mul_comm, mul_comm ((∫⁻ a : α, f a ^ p ∂μ) ^ (1 / p))]
exact lintegral_mul_le_Lp_mul_Lq_of_ne_zero_of_eq_top hpq.symm.pos hpq.nonneg hg_top hf_zero
-- non-⊤ non-zero case
exact ENNReal.lintegral_mul_le_Lp_mul_Lq_of_ne_zero_of_ne_top hpq hf hf_top hg_top hf_zero hg_zero
/-- A different formulation of Hölder's inequality for two functions, with two exponents that sum to
1, instead of reciprocals of -/
theorem lintegral_mul_norm_pow_le {α} [MeasurableSpace α] {μ : Measure α}
{f g : α → ℝ≥0∞} (hf : AEMeasurable f μ) (hg : AEMeasurable g μ)
{p q : ℝ} (hp : 0 ≤ p) (hq : 0 ≤ q) (hpq : p + q = 1) :
∫⁻ a, f a ^ p * g a ^ q ∂μ ≤ (∫⁻ a, f a ∂μ) ^ p * (∫⁻ a, g a ∂μ) ^ q := by
rcases hp.eq_or_lt with rfl|hp
· rw [zero_add] at hpq
simp [hpq]
rcases hq.eq_or_lt with rfl|hq
· rw [add_zero] at hpq
simp [hpq]
have h2p : 1 < 1 / p := by
rw [one_div, one_lt_inv₀ hp]
linarith
have h2pq : (1 / p)⁻¹ + (1 / q)⁻¹ = 1 := by simp [hp.ne', hq.ne', hpq]
have := ENNReal.lintegral_mul_le_Lp_mul_Lq μ (Real.holderConjugate_iff.mpr ⟨h2p, h2pq⟩)
(hf.pow_const p) (hg.pow_const q)
simpa [← ENNReal.rpow_mul, hp.ne', hq.ne'] using this
/-- A version of Hölder with multiple arguments -/
theorem lintegral_prod_norm_pow_le {α ι : Type*} [MeasurableSpace α] {μ : Measure α}
(s : Finset ι) {f : ι → α → ℝ≥0∞} (hf : ∀ i ∈ s, AEMeasurable (f i) μ)
{p : ι → ℝ} (hp : ∑ i ∈ s, p i = 1) (h2p : ∀ i ∈ s, 0 ≤ p i) :
∫⁻ a, ∏ i ∈ s, f i a ^ p i ∂μ ≤ ∏ i ∈ s, (∫⁻ a, f i a ∂μ) ^ p i := by
classical
induction s using Finset.induction generalizing p with
| empty =>
simp at hp
| insert i₀ s hi₀ ih =>
rcases eq_or_ne (p i₀) 1 with h2i₀|h2i₀
· simp only [hi₀, not_false_eq_true, prod_insert]
have h2p : ∀ i ∈ s, p i = 0 := by
simpa [hi₀, h2i₀, sum_eq_zero_iff_of_nonneg (fun i hi ↦ h2p i <| mem_insert_of_mem hi)]
using hp
calc ∫⁻ a, f i₀ a ^ p i₀ * ∏ i ∈ s, f i a ^ p i ∂μ
= ∫⁻ a, f i₀ a ^ p i₀ * ∏ i ∈ s, 1 ∂μ := by
congr! 3 with x
apply prod_congr rfl fun i hi ↦ by rw [h2p i hi, ENNReal.rpow_zero]
_ ≤ (∫⁻ a, f i₀ a ∂μ) ^ p i₀ * ∏ i ∈ s, 1 := by simp [h2i₀]
_ = (∫⁻ a, f i₀ a ∂μ) ^ p i₀ * ∏ i ∈ s, (∫⁻ a, f i a ∂μ) ^ p i := by
congr 1
apply prod_congr rfl fun i hi ↦ by rw [h2p i hi, ENNReal.rpow_zero]
· have hpi₀ : 0 ≤ 1 - p i₀ := by
simp_rw [sub_nonneg, ← hp, single_le_sum h2p (mem_insert_self ..)]
have h2pi₀ : 1 - p i₀ ≠ 0 := by
rwa [sub_ne_zero, ne_comm]
let q := fun i ↦ p i / (1 - p i₀)
have hq : ∑ i ∈ s, q i = 1 := by
rw [← Finset.sum_div, ← sum_insert_sub hi₀, hp, div_self h2pi₀]
have h2q : ∀ i ∈ s, 0 ≤ q i :=
fun i hi ↦ div_nonneg (h2p i <| mem_insert_of_mem hi) hpi₀
calc ∫⁻ a, ∏ i ∈ insert i₀ s, f i a ^ p i ∂μ
= ∫⁻ a, f i₀ a ^ p i₀ * ∏ i ∈ s, f i a ^ p i ∂μ := by simp [hi₀]
_ = ∫⁻ a, f i₀ a ^ p i₀ * (∏ i ∈ s, f i a ^ q i) ^ (1 - p i₀) ∂μ := by
simp [q, ← ENNReal.prod_rpow_of_nonneg hpi₀, ← ENNReal.rpow_mul,
div_mul_cancel₀ (h := h2pi₀)]
_ ≤ (∫⁻ a, f i₀ a ∂μ) ^ p i₀ * (∫⁻ a, ∏ i ∈ s, f i a ^ q i ∂μ) ^ (1 - p i₀) := by
apply ENNReal.lintegral_mul_norm_pow_le
· exact hf i₀ <| mem_insert_self ..
· exact s.aemeasurable_prod fun i hi ↦ (hf i <| mem_insert_of_mem hi).pow_const _
· exact h2p i₀ <| mem_insert_self ..
· exact hpi₀
· apply add_sub_cancel
_ ≤ (∫⁻ a, f i₀ a ∂μ) ^ p i₀ * (∏ i ∈ s, (∫⁻ a, f i a ∂μ) ^ q i) ^ (1 - p i₀) := by
gcongr -- behavior of gcongr is heartbeat-dependent, which makes code really fragile...
exact ih (fun i hi ↦ hf i <| mem_insert_of_mem hi) hq h2q
_ = (∫⁻ a, f i₀ a ∂μ) ^ p i₀ * ∏ i ∈ s, (∫⁻ a, f i a ∂μ) ^ p i := by
simp [q, ← ENNReal.prod_rpow_of_nonneg hpi₀, ← ENNReal.rpow_mul,
div_mul_cancel₀ (h := h2pi₀)]
_ = ∏ i ∈ insert i₀ s, (∫⁻ a, f i a ∂μ) ^ p i := by simp [hi₀]
/-- A version of Hölder with multiple arguments, one of which plays a distinguished role. -/
theorem lintegral_mul_prod_norm_pow_le {α ι : Type*} [MeasurableSpace α] {μ : Measure α}
(s : Finset ι) {g : α → ℝ≥0∞} {f : ι → α → ℝ≥0∞} (hg : AEMeasurable g μ)
(hf : ∀ i ∈ s, AEMeasurable (f i) μ) (q : ℝ) {p : ι → ℝ} (hpq : q + ∑ i ∈ s, p i = 1)
(hq : 0 ≤ q) (hp : ∀ i ∈ s, 0 ≤ p i) :
∫⁻ a, g a ^ q * ∏ i ∈ s, f i a ^ p i ∂μ ≤
(∫⁻ a, g a ∂μ) ^ q * ∏ i ∈ s, (∫⁻ a, f i a ∂μ) ^ p i := by
suffices
∫⁻ t, ∏ j ∈ insertNone s, Option.elim j (g t) (fun j ↦ f j t) ^ Option.elim j q p ∂μ
≤ ∏ j ∈ insertNone s, (∫⁻ t, Option.elim j (g t) (fun j ↦ f j t) ∂μ) ^ Option.elim j q p by
simpa using this
refine ENNReal.lintegral_prod_norm_pow_le _ ?_ ?_ ?_
· rintro (_|i) hi
· exact hg
· refine hf i ?_
simpa using hi
· simp_rw [sum_insertNone, Option.elim]
exact hpq
· rintro (_|i) hi
· exact hq
· refine hp i ?_
simpa using hi
theorem lintegral_rpow_add_lt_top_of_lintegral_rpow_lt_top {p : ℝ} {f g : α → ℝ≥0∞}
(hf : AEMeasurable f μ) (hf_top : (∫⁻ a, f a ^ p ∂μ) < ⊤) (hg_top : (∫⁻ a, g a ^ p ∂μ) < ⊤)
(hp1 : 1 ≤ p) : (∫⁻ a, (f + g) a ^ p ∂μ) < ⊤ := by
have hp0_lt : 0 < p := lt_of_lt_of_le zero_lt_one hp1
have hp0 : 0 ≤ p := le_of_lt hp0_lt
calc
(∫⁻ a : α, (f a + g a) ^ p ∂μ) ≤
∫⁻ a, (2 : ℝ≥0∞) ^ (p - 1) * f a ^ p + (2 : ℝ≥0∞) ^ (p - 1) * g a ^ p ∂μ := by
refine lintegral_mono fun a => ?_
dsimp only
have h_zero_lt_half_rpow : (0 : ℝ≥0∞) < (1 / 2 : ℝ≥0∞) ^ p := by
rw [← ENNReal.zero_rpow_of_pos hp0_lt]
exact ENNReal.rpow_lt_rpow (by simp [zero_lt_one]) hp0_lt
| have h_rw : (1 / 2 : ℝ≥0∞) ^ p * (2 : ℝ≥0∞) ^ (p - 1) = 1 / 2 := by
rw [sub_eq_add_neg, ENNReal.rpow_add _ _ two_ne_zero ENNReal.coe_ne_top, ← mul_assoc, ←
ENNReal.mul_rpow_of_nonneg _ _ hp0, one_div,
ENNReal.inv_mul_cancel two_ne_zero ENNReal.coe_ne_top, ENNReal.one_rpow, one_mul,
ENNReal.rpow_neg_one]
rw [← ENNReal.mul_le_mul_left (ne_of_lt h_zero_lt_half_rpow).symm _]
· rw [mul_add, ← mul_assoc, ← mul_assoc, h_rw, ← ENNReal.mul_rpow_of_nonneg _ _ hp0, mul_add]
refine
ENNReal.rpow_arith_mean_le_arith_mean2_rpow (1 / 2 : ℝ≥0∞) (1 / 2 : ℝ≥0∞) (f a) (g a) ?_
hp1
rw [ENNReal.div_add_div_same, one_add_one_eq_two,
ENNReal.div_self two_ne_zero ENNReal.coe_ne_top]
· rw [← lt_top_iff_ne_top]
refine ENNReal.rpow_lt_top_of_nonneg hp0 ?_
rw [one_div, ENNReal.inv_ne_top]
exact two_ne_zero
_ < ⊤ := by
have h_two : (2 : ℝ≥0∞) ^ (p - 1) ≠ ⊤ :=
ENNReal.rpow_ne_top_of_nonneg (by simp [hp1]) ENNReal.coe_ne_top
rw [lintegral_add_left', lintegral_const_mul'' _ (hf.pow_const p),
lintegral_const_mul' _ _ h_two, ENNReal.add_lt_top]
· exact ⟨ENNReal.mul_lt_top h_two.lt_top hf_top, ENNReal.mul_lt_top h_two.lt_top hg_top⟩
· exact (hf.pow_const p).const_mul _
theorem lintegral_Lp_mul_le_Lq_mul_Lr {α} [MeasurableSpace α] {p q r : ℝ} (hp0_lt : 0 < p)
(hpq : p < q) (hpqr : 1 / p = 1 / q + 1 / r) (μ : Measure α) {f g : α → ℝ≥0∞}
(hf : AEMeasurable f μ) (hg : AEMeasurable g μ) :
(∫⁻ a, (f * g) a ^ p ∂μ) ^ (1 / p) ≤
(∫⁻ a, f a ^ q ∂μ) ^ (1 / q) * (∫⁻ a, g a ^ r ∂μ) ^ (1 / r) := by
have hp0_ne : p ≠ 0 := (ne_of_lt hp0_lt).symm
have hp0 : 0 ≤ p := le_of_lt hp0_lt
have hq0_lt : 0 < q := lt_of_le_of_lt hp0 hpq
have hq0_ne : q ≠ 0 := (ne_of_lt hq0_lt).symm
have h_one_div_r : 1 / r = 1 / p - 1 / q := by rw [hpqr]; simp
let p2 := q / p
let q2 := p2.conjExponent
| Mathlib/MeasureTheory/Integral/MeanInequalities.lean | 275 | 310 |
/-
Copyright (c) 2022 Xavier Roblot. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Xavier Roblot
-/
import Mathlib.Algebra.Module.ZLattice.Basic
import Mathlib.Analysis.InnerProductSpace.ProdL2
import Mathlib.MeasureTheory.Measure.Haar.Unique
import Mathlib.NumberTheory.NumberField.FractionalIdeal
import Mathlib.NumberTheory.NumberField.Units.Basic
/-!
# Canonical embedding of a number field
The canonical embedding of a number field `K` of degree `n` is the ring homomorphism
`K →+* ℂ^n` that sends `x ∈ K` to `(φ_₁(x),...,φ_n(x))` where the `φ_i`'s are the complex
embeddings of `K`. Note that we do not choose an ordering of the embeddings, but instead map `K`
into the type `(K →+* ℂ) → ℂ` of `ℂ`-vectors indexed by the complex embeddings.
## Main definitions and results
* `NumberField.canonicalEmbedding`: the ring homomorphism `K →+* ((K →+* ℂ) → ℂ)` defined by
sending `x : K` to the vector `(φ x)` indexed by `φ : K →+* ℂ`.
* `NumberField.canonicalEmbedding.integerLattice.inter_ball_finite`: the intersection of the
image of the ring of integers by the canonical embedding and any ball centered at `0` of finite
radius is finite.
* `NumberField.mixedEmbedding`: the ring homomorphism from `K` to the mixed space
`K →+* ({ w // IsReal w } → ℝ) × ({ w // IsComplex w } → ℂ)` that sends `x ∈ K` to `(φ_w x)_w`
where `φ_w` is the embedding associated to the infinite place `w`. In particular, if `w` is real
then `φ_w : K →+* ℝ` and, if `w` is complex, `φ_w` is an arbitrary choice between the two complex
embeddings defining the place `w`.
## Tags
number field, infinite places
-/
variable (K : Type*) [Field K]
namespace NumberField.canonicalEmbedding
/-- The canonical embedding of a number field `K` of degree `n` into `ℂ^n`. -/
def _root_.NumberField.canonicalEmbedding : K →+* ((K →+* ℂ) → ℂ) := Pi.ringHom fun φ => φ
theorem _root_.NumberField.canonicalEmbedding_injective [NumberField K] :
Function.Injective (NumberField.canonicalEmbedding K) := RingHom.injective _
variable {K}
@[simp]
theorem apply_at (φ : K →+* ℂ) (x : K) : (NumberField.canonicalEmbedding K x) φ = φ x := rfl
open scoped ComplexConjugate
/-- The image of `canonicalEmbedding` lives in the `ℝ`-submodule of the `x ∈ ((K →+* ℂ) → ℂ)` such
that `conj x_φ = x_(conj φ)` for all `∀ φ : K →+* ℂ`. -/
theorem conj_apply {x : ((K →+* ℂ) → ℂ)} (φ : K →+* ℂ)
(hx : x ∈ Submodule.span ℝ (Set.range (canonicalEmbedding K))) :
conj (x φ) = x (ComplexEmbedding.conjugate φ) := by
refine Submodule.span_induction ?_ ?_ (fun _ _ _ _ hx hy => ?_) (fun a _ _ hx => ?_) hx
· rintro _ ⟨x, rfl⟩
rw [apply_at, apply_at, ComplexEmbedding.conjugate_coe_eq]
· rw [Pi.zero_apply, Pi.zero_apply, map_zero]
· rw [Pi.add_apply, Pi.add_apply, map_add, hx, hy]
· rw [Pi.smul_apply, Complex.real_smul, map_mul, Complex.conj_ofReal]
exact congrArg ((a : ℂ) * ·) hx
theorem nnnorm_eq [NumberField K] (x : K) :
‖canonicalEmbedding K x‖₊ = Finset.univ.sup (fun φ : K →+* ℂ => ‖φ x‖₊) := by
simp_rw [Pi.nnnorm_def, apply_at]
theorem norm_le_iff [NumberField K] (x : K) (r : ℝ) :
‖canonicalEmbedding K x‖ ≤ r ↔ ∀ φ : K →+* ℂ, ‖φ x‖ ≤ r := by
obtain hr | hr := lt_or_le r 0
· obtain ⟨φ⟩ := (inferInstance : Nonempty (K →+* ℂ))
refine iff_of_false ?_ ?_
· exact (hr.trans_le (norm_nonneg _)).not_le
· exact fun h => hr.not_le (le_trans (norm_nonneg _) (h φ))
· lift r to NNReal using hr
simp_rw [← coe_nnnorm, nnnorm_eq, NNReal.coe_le_coe, Finset.sup_le_iff, Finset.mem_univ,
forall_true_left]
variable (K)
/-- The image of `𝓞 K` as a subring of `ℂ^n`. -/
def integerLattice : Subring ((K →+* ℂ) → ℂ) :=
(RingHom.range (algebraMap (𝓞 K) K)).map (canonicalEmbedding K)
theorem integerLattice.inter_ball_finite [NumberField K] (r : ℝ) :
((integerLattice K : Set ((K →+* ℂ) → ℂ)) ∩ Metric.closedBall 0 r).Finite := by
obtain hr | _ := lt_or_le r 0
· simp [Metric.closedBall_eq_empty.2 hr]
· have heq : ∀ x, canonicalEmbedding K x ∈ Metric.closedBall 0 r ↔
∀ φ : K →+* ℂ, ‖φ x‖ ≤ r := by
intro x; rw [← norm_le_iff, mem_closedBall_zero_iff]
convert (Embeddings.finite_of_norm_le K ℂ r).image (canonicalEmbedding K)
ext; constructor
· rintro ⟨⟨_, ⟨x, rfl⟩, rfl⟩, hx⟩
exact ⟨x, ⟨SetLike.coe_mem x, fun φ => (heq _).mp hx φ⟩, rfl⟩
· rintro ⟨x, ⟨hx1, hx2⟩, rfl⟩
exact ⟨⟨x, ⟨⟨x, hx1⟩, rfl⟩, rfl⟩, (heq x).mpr hx2⟩
open Module Fintype Module
/-- A `ℂ`-basis of `ℂ^n` that is also a `ℤ`-basis of the `integerLattice`. -/
noncomputable def latticeBasis [NumberField K] :
Basis (Free.ChooseBasisIndex ℤ (𝓞 K)) ℂ ((K →+* ℂ) → ℂ) := by
classical
-- Let `B` be the canonical basis of `(K →+* ℂ) → ℂ`. We prove that the determinant of
-- the image by `canonicalEmbedding` of the integral basis of `K` is nonzero. This
-- will imply the result.
let B := Pi.basisFun ℂ (K →+* ℂ)
let e : (K →+* ℂ) ≃ Free.ChooseBasisIndex ℤ (𝓞 K) :=
equivOfCardEq ((Embeddings.card K ℂ).trans (finrank_eq_card_basis (integralBasis K)))
let M := B.toMatrix (fun i => canonicalEmbedding K (integralBasis K (e i)))
suffices M.det ≠ 0 by
rw [← isUnit_iff_ne_zero, ← Basis.det_apply, ← is_basis_iff_det] at this
exact (basisOfPiSpaceOfLinearIndependent this.1).reindex e
-- In order to prove that the determinant is nonzero, we show that it is equal to the
-- square of the discriminant of the integral basis and thus it is not zero
let N := Algebra.embeddingsMatrixReindex ℚ ℂ (fun i => integralBasis K (e i))
RingHom.equivRatAlgHom
rw [show M = N.transpose by { ext : 2; rfl }]
rw [Matrix.det_transpose, ← pow_ne_zero_iff two_ne_zero]
convert (map_ne_zero_iff _ (algebraMap ℚ ℂ).injective).mpr
(Algebra.discr_not_zero_of_basis ℚ (integralBasis K))
rw [← Algebra.discr_reindex ℚ (integralBasis K) e.symm]
exact (Algebra.discr_eq_det_embeddingsMatrixReindex_pow_two ℚ ℂ
(fun i => integralBasis K (e i)) RingHom.equivRatAlgHom).symm
@[simp]
theorem latticeBasis_apply [NumberField K] (i : Free.ChooseBasisIndex ℤ (𝓞 K)) :
latticeBasis K i = (canonicalEmbedding K) (integralBasis K i) := by
simp [latticeBasis, integralBasis_apply, coe_basisOfPiSpaceOfLinearIndependent,
Function.comp_apply, Equiv.apply_symm_apply]
theorem mem_span_latticeBasis [NumberField K] {x : (K →+* ℂ) → ℂ} :
x ∈ Submodule.span ℤ (Set.range (latticeBasis K)) ↔
x ∈ ((canonicalEmbedding K).comp (algebraMap (𝓞 K) K)).range := by
rw [show Set.range (latticeBasis K) =
(canonicalEmbedding K).toIntAlgHom.toLinearMap '' (Set.range (integralBasis K)) by
| rw [← Set.range_comp]; exact congrArg Set.range (funext (fun i => latticeBasis_apply K i))]
rw [← Submodule.map_span, ← SetLike.mem_coe, Submodule.map_coe]
rw [← RingHom.map_range, Subring.mem_map, Set.mem_image]
simp only [SetLike.mem_coe, mem_span_integralBasis K]
rfl
theorem mem_rat_span_latticeBasis [NumberField K] (x : K) :
canonicalEmbedding K x ∈ Submodule.span ℚ (Set.range (latticeBasis K)) := by
rw [← Basis.sum_repr (integralBasis K) x, map_sum]
simp_rw [map_rat_smul]
| Mathlib/NumberTheory/NumberField/CanonicalEmbedding/Basic.lean | 144 | 153 |
/-
Copyright (c) 2020 Anatole Dedecker. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Anatole Dedecker
-/
import Mathlib.Analysis.Asymptotics.Theta
/-!
# Asymptotic equivalence
In this file, we define the relation `IsEquivalent l u v`, which means that `u-v` is little o of
`v` along the filter `l`.
Unlike `Is(Little|Big)O` relations, this one requires `u` and `v` to have the same codomain `β`.
While the definition only requires `β` to be a `NormedAddCommGroup`, most interesting properties
require it to be a `NormedField`.
## Notations
We introduce the notation `u ~[l] v := IsEquivalent l u v`, which you can use by opening the
`Asymptotics` locale.
## Main results
If `β` is a `NormedAddCommGroup` :
- `_ ~[l] _` is an equivalence relation
- Equivalent statements for `u ~[l] const _ c` :
- If `c ≠ 0`, this is true iff `Tendsto u l (𝓝 c)` (see `isEquivalent_const_iff_tendsto`)
- For `c = 0`, this is true iff `u =ᶠ[l] 0` (see `isEquivalent_zero_iff_eventually_zero`)
If `β` is a `NormedField` :
- Alternative characterization of the relation (see `isEquivalent_iff_exists_eq_mul`) :
`u ~[l] v ↔ ∃ (φ : α → β) (hφ : Tendsto φ l (𝓝 1)), u =ᶠ[l] φ * v`
- Provided some non-vanishing hypothesis, this can be seen as `u ~[l] v ↔ Tendsto (u/v) l (𝓝 1)`
(see `isEquivalent_iff_tendsto_one`)
- For any constant `c`, `u ~[l] v` implies `Tendsto u l (𝓝 c) ↔ Tendsto v l (𝓝 c)`
(see `IsEquivalent.tendsto_nhds_iff`)
- `*` and `/` are compatible with `_ ~[l] _` (see `IsEquivalent.mul` and `IsEquivalent.div`)
If `β` is a `NormedLinearOrderedField` :
- If `u ~[l] v`, we have `Tendsto u l atTop ↔ Tendsto v l atTop`
(see `IsEquivalent.tendsto_atTop_iff`)
## Implementation Notes
Note that `IsEquivalent` takes the parameters `(l : Filter α) (u v : α → β)` in that order.
This is to enable `calc` support, as `calc` requires that the last two explicit arguments are `u v`.
-/
namespace Asymptotics
open Filter Function
open Topology
section NormedAddCommGroup
variable {α β : Type*} [NormedAddCommGroup β]
/-- Two functions `u` and `v` are said to be asymptotically equivalent along a filter `l`
(denoted as `u ~[l] v` in the `Asymptotics` namespace)
when `u x - v x = o(v x)` as `x` converges along `l`. -/
def IsEquivalent (l : Filter α) (u v : α → β) :=
(u - v) =o[l] v
@[inherit_doc] scoped notation:50 u " ~[" l:50 "] " v:50 => Asymptotics.IsEquivalent l u v
variable {u v w : α → β} {l : Filter α}
theorem IsEquivalent.isLittleO (h : u ~[l] v) : (u - v) =o[l] v := h
nonrec theorem IsEquivalent.isBigO (h : u ~[l] v) : u =O[l] v :=
(IsBigO.congr_of_sub h.isBigO.symm).mp (isBigO_refl _ _)
theorem IsEquivalent.isBigO_symm (h : u ~[l] v) : v =O[l] u := by
convert h.isLittleO.right_isBigO_add
simp
theorem IsEquivalent.isTheta (h : u ~[l] v) : u =Θ[l] v :=
⟨h.isBigO, h.isBigO_symm⟩
theorem IsEquivalent.isTheta_symm (h : u ~[l] v) : v =Θ[l] u :=
⟨h.isBigO_symm, h.isBigO⟩
@[refl]
theorem IsEquivalent.refl : u ~[l] u := by
rw [IsEquivalent, sub_self]
exact isLittleO_zero _ _
@[symm]
theorem IsEquivalent.symm (h : u ~[l] v) : v ~[l] u :=
(h.isLittleO.trans_isBigO h.isBigO_symm).symm
@[trans]
theorem IsEquivalent.trans {l : Filter α} {u v w : α → β} (huv : u ~[l] v) (hvw : v ~[l] w) :
u ~[l] w :=
(huv.isLittleO.trans_isBigO hvw.isBigO).triangle hvw.isLittleO
theorem IsEquivalent.congr_left {u v w : α → β} {l : Filter α} (huv : u ~[l] v) (huw : u =ᶠ[l] w) :
w ~[l] v :=
huv.congr' (huw.sub (EventuallyEq.refl _ _)) (EventuallyEq.refl _ _)
theorem IsEquivalent.congr_right {u v w : α → β} {l : Filter α} (huv : u ~[l] v) (hvw : v =ᶠ[l] w) :
u ~[l] w :=
(huv.symm.congr_left hvw).symm
theorem isEquivalent_zero_iff_eventually_zero : u ~[l] 0 ↔ u =ᶠ[l] 0 := by
rw [IsEquivalent, sub_zero]
exact isLittleO_zero_right_iff
theorem isEquivalent_zero_iff_isBigO_zero : u ~[l] 0 ↔ u =O[l] (0 : α → β) := by
refine ⟨IsEquivalent.isBigO, fun h ↦ ?_⟩
rw [isEquivalent_zero_iff_eventually_zero, eventuallyEq_iff_exists_mem]
exact ⟨{ x : α | u x = 0 }, isBigO_zero_right_iff.mp h, fun x hx ↦ hx⟩
theorem isEquivalent_const_iff_tendsto {c : β} (h : c ≠ 0) :
u ~[l] const _ c ↔ Tendsto u l (𝓝 c) := by
simp +unfoldPartialApp only [IsEquivalent, const, isLittleO_const_iff h]
constructor <;> intro h
· have := h.sub (tendsto_const_nhds (x := -c))
simp only [Pi.sub_apply, sub_neg_eq_add, sub_add_cancel, zero_add] at this
exact this
· have := h.sub (tendsto_const_nhds (x := c))
rwa [sub_self] at this
theorem IsEquivalent.tendsto_const {c : β} (hu : u ~[l] const _ c) : Tendsto u l (𝓝 c) := by
rcases em <| c = 0 with rfl | h
· exact (tendsto_congr' <| isEquivalent_zero_iff_eventually_zero.mp hu).mpr tendsto_const_nhds
· exact (isEquivalent_const_iff_tendsto h).mp hu
theorem IsEquivalent.tendsto_nhds {c : β} (huv : u ~[l] v) (hu : Tendsto u l (𝓝 c)) :
Tendsto v l (𝓝 c) := by
by_cases h : c = 0
· subst c
rw [← isLittleO_one_iff ℝ] at hu ⊢
simpa using (huv.symm.isLittleO.trans hu).add hu
· rw [← isEquivalent_const_iff_tendsto h] at hu ⊢
exact huv.symm.trans hu
theorem IsEquivalent.tendsto_nhds_iff {c : β} (huv : u ~[l] v) :
Tendsto u l (𝓝 c) ↔ Tendsto v l (𝓝 c) :=
⟨huv.tendsto_nhds, huv.symm.tendsto_nhds⟩
theorem IsEquivalent.add_isLittleO (huv : u ~[l] v) (hwv : w =o[l] v) : u + w ~[l] v := by
simpa only [IsEquivalent, add_sub_right_comm] using huv.add hwv
theorem IsEquivalent.sub_isLittleO (huv : u ~[l] v) (hwv : w =o[l] v) : u - w ~[l] v := by
simpa only [sub_eq_add_neg] using huv.add_isLittleO hwv.neg_left
theorem IsLittleO.add_isEquivalent (hu : u =o[l] w) (hv : v ~[l] w) : u + v ~[l] w :=
add_comm v u ▸ hv.add_isLittleO hu
theorem IsLittleO.isEquivalent (huv : (u - v) =o[l] v) : u ~[l] v := huv
theorem IsEquivalent.neg (huv : u ~[l] v) : (fun x ↦ -u x) ~[l] fun x ↦ -v x := by
rw [IsEquivalent]
convert huv.isLittleO.neg_left.neg_right
simp [neg_add_eq_sub]
end NormedAddCommGroup
open Asymptotics
section NormedField
variable {α β : Type*} [NormedField β] {u v : α → β} {l : Filter α}
theorem isEquivalent_iff_exists_eq_mul :
u ~[l] v ↔ ∃ (φ : α → β) (_ : Tendsto φ l (𝓝 1)), u =ᶠ[l] φ * v := by
rw [IsEquivalent, isLittleO_iff_exists_eq_mul]
constructor <;> rintro ⟨φ, hφ, h⟩ <;> [refine ⟨φ + 1, ?_, ?_⟩; refine ⟨φ - 1, ?_, ?_⟩]
· conv in 𝓝 _ => rw [← zero_add (1 : β)]
exact hφ.add tendsto_const_nhds
· convert h.add (EventuallyEq.refl l v) <;> simp [add_mul]
· conv in 𝓝 _ => rw [← sub_self (1 : β)]
exact hφ.sub tendsto_const_nhds
· convert h.sub (EventuallyEq.refl l v); simp [sub_mul]
theorem IsEquivalent.exists_eq_mul (huv : u ~[l] v) :
∃ (φ : α → β) (_ : Tendsto φ l (𝓝 1)), u =ᶠ[l] φ * v :=
isEquivalent_iff_exists_eq_mul.mp huv
theorem isEquivalent_of_tendsto_one (hz : ∀ᶠ x in l, v x = 0 → u x = 0)
(huv : Tendsto (u / v) l (𝓝 1)) : u ~[l] v := by
rw [isEquivalent_iff_exists_eq_mul]
exact ⟨u / v, huv, hz.mono fun x hz' ↦ (div_mul_cancel_of_imp hz').symm⟩
theorem isEquivalent_of_tendsto_one' (hz : ∀ x, v x = 0 → u x = 0) (huv : Tendsto (u / v) l (𝓝 1)) :
u ~[l] v :=
isEquivalent_of_tendsto_one (Eventually.of_forall hz) huv
theorem isEquivalent_iff_tendsto_one (hz : ∀ᶠ x in l, v x ≠ 0) :
u ~[l] v ↔ Tendsto (u / v) l (𝓝 1) := by
| constructor
· intro hequiv
have := hequiv.isLittleO.tendsto_div_nhds_zero
simp only [Pi.sub_apply, sub_div] at this
have key : Tendsto (fun x ↦ v x / v x) l (𝓝 1) :=
(tendsto_congr' <| hz.mono fun x hnz ↦ @div_self _ _ (v x) hnz).mpr tendsto_const_nhds
convert this.add key
· simp
· norm_num
· exact isEquivalent_of_tendsto_one (hz.mono fun x hnvz hz ↦ (hnvz hz).elim)
| Mathlib/Analysis/Asymptotics/AsymptoticEquivalent.lean | 201 | 210 |
/-
Copyright (c) 2022 Yaël Dillies. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yaël Dillies
-/
import Mathlib.Order.PropInstances
import Mathlib.Order.GaloisConnection.Defs
/-!
# Heyting algebras
This file defines Heyting, co-Heyting and bi-Heyting algebras.
A Heyting algebra is a bounded distributive lattice with an implication operation `⇨` such that
`a ≤ b ⇨ c ↔ a ⊓ b ≤ c`. It also comes with a pseudo-complement `ᶜ`, such that `aᶜ = a ⇨ ⊥`.
Co-Heyting algebras are dual to Heyting algebras. They have a difference `\` and a negation `￢`
such that `a \ b ≤ c ↔ a ≤ b ⊔ c` and `￢a = ⊤ \ a`.
Bi-Heyting algebras are Heyting algebras that are also co-Heyting algebras.
From a logic standpoint, Heyting algebras precisely model intuitionistic logic, whereas boolean
algebras model classical logic.
Heyting algebras are the order theoretic equivalent of cartesian-closed categories.
## Main declarations
* `GeneralizedHeytingAlgebra`: Heyting algebra without a top element (nor negation).
* `GeneralizedCoheytingAlgebra`: Co-Heyting algebra without a bottom element (nor complement).
* `HeytingAlgebra`: Heyting algebra.
* `CoheytingAlgebra`: Co-Heyting algebra.
* `BiheytingAlgebra`: bi-Heyting algebra.
## References
* [Francis Borceux, *Handbook of Categorical Algebra III*][borceux-vol3]
## Tags
Heyting, Brouwer, algebra, implication, negation, intuitionistic
-/
assert_not_exists RelIso
open Function OrderDual
universe u
variable {ι α β : Type*}
/-! ### Notation -/
section
variable (α β)
instance Prod.instHImp [HImp α] [HImp β] : HImp (α × β) :=
⟨fun a b => (a.1 ⇨ b.1, a.2 ⇨ b.2)⟩
instance Prod.instHNot [HNot α] [HNot β] : HNot (α × β) :=
⟨fun a => (￢a.1, ￢a.2)⟩
instance Prod.instSDiff [SDiff α] [SDiff β] : SDiff (α × β) :=
⟨fun a b => (a.1 \ b.1, a.2 \ b.2)⟩
instance Prod.instHasCompl [HasCompl α] [HasCompl β] : HasCompl (α × β) :=
⟨fun a => (a.1ᶜ, a.2ᶜ)⟩
end
@[simp]
theorem fst_himp [HImp α] [HImp β] (a b : α × β) : (a ⇨ b).1 = a.1 ⇨ b.1 :=
rfl
@[simp]
theorem snd_himp [HImp α] [HImp β] (a b : α × β) : (a ⇨ b).2 = a.2 ⇨ b.2 :=
rfl
@[simp]
theorem fst_hnot [HNot α] [HNot β] (a : α × β) : (￢a).1 = ￢a.1 :=
rfl
@[simp]
theorem snd_hnot [HNot α] [HNot β] (a : α × β) : (￢a).2 = ￢a.2 :=
rfl
@[simp]
theorem fst_sdiff [SDiff α] [SDiff β] (a b : α × β) : (a \ b).1 = a.1 \ b.1 :=
rfl
@[simp]
theorem snd_sdiff [SDiff α] [SDiff β] (a b : α × β) : (a \ b).2 = a.2 \ b.2 :=
rfl
@[simp]
theorem fst_compl [HasCompl α] [HasCompl β] (a : α × β) : aᶜ.1 = a.1ᶜ :=
rfl
@[simp]
theorem snd_compl [HasCompl α] [HasCompl β] (a : α × β) : aᶜ.2 = a.2ᶜ :=
rfl
namespace Pi
variable {π : ι → Type*}
instance [∀ i, HImp (π i)] : HImp (∀ i, π i) :=
⟨fun a b i => a i ⇨ b i⟩
instance [∀ i, HNot (π i)] : HNot (∀ i, π i) :=
⟨fun a i => ￢a i⟩
theorem himp_def [∀ i, HImp (π i)] (a b : ∀ i, π i) : a ⇨ b = fun i => a i ⇨ b i :=
rfl
theorem hnot_def [∀ i, HNot (π i)] (a : ∀ i, π i) : ￢a = fun i => ￢a i :=
rfl
@[simp]
theorem himp_apply [∀ i, HImp (π i)] (a b : ∀ i, π i) (i : ι) : (a ⇨ b) i = a i ⇨ b i :=
rfl
@[simp]
theorem hnot_apply [∀ i, HNot (π i)] (a : ∀ i, π i) (i : ι) : (￢a) i = ￢a i :=
rfl
end Pi
/-- A generalized Heyting algebra is a lattice with an additional binary operation `⇨` called
Heyting implication such that `(a ⇨ ·)` is right adjoint to `(a ⊓ ·)`.
This generalizes `HeytingAlgebra` by not requiring a bottom element. -/
class GeneralizedHeytingAlgebra (α : Type*) extends Lattice α, OrderTop α, HImp α where
/-- `(a ⇨ ·)` is right adjoint to `(a ⊓ ·)` -/
le_himp_iff (a b c : α) : a ≤ b ⇨ c ↔ a ⊓ b ≤ c
/-- A generalized co-Heyting algebra is a lattice with an additional binary
difference operation `\` such that `(· \ a)` is left adjoint to `(· ⊔ a)`.
This generalizes `CoheytingAlgebra` by not requiring a top element. -/
class GeneralizedCoheytingAlgebra (α : Type*) extends Lattice α, OrderBot α, SDiff α where
/-- `(· \ a)` is left adjoint to `(· ⊔ a)` -/
sdiff_le_iff (a b c : α) : a \ b ≤ c ↔ a ≤ b ⊔ c
/-- A Heyting algebra is a bounded lattice with an additional binary operation `⇨` called Heyting
implication such that `(a ⇨ ·)` is right adjoint to `(a ⊓ ·)`. -/
class HeytingAlgebra (α : Type*) extends GeneralizedHeytingAlgebra α, OrderBot α, HasCompl α where
/-- `aᶜ` is defined as `a ⇨ ⊥` -/
himp_bot (a : α) : a ⇨ ⊥ = aᶜ
/-- A co-Heyting algebra is a bounded lattice with an additional binary difference operation `\`
such that `(· \ a)` is left adjoint to `(· ⊔ a)`. -/
class CoheytingAlgebra (α : Type*) extends GeneralizedCoheytingAlgebra α, OrderTop α, HNot α where
/-- `⊤ \ a` is `￢a` -/
top_sdiff (a : α) : ⊤ \ a = ￢a
/-- A bi-Heyting algebra is a Heyting algebra that is also a co-Heyting algebra. -/
class BiheytingAlgebra (α : Type*) extends HeytingAlgebra α, SDiff α, HNot α where
/-- `(· \ a)` is left adjoint to `(· ⊔ a)` -/
sdiff_le_iff (a b c : α) : a \ b ≤ c ↔ a ≤ b ⊔ c
/-- `⊤ \ a` is `￢a` -/
top_sdiff (a : α) : ⊤ \ a = ￢a
-- See note [lower instance priority]
attribute [instance 100] GeneralizedHeytingAlgebra.toOrderTop
attribute [instance 100] GeneralizedCoheytingAlgebra.toOrderBot
-- See note [lower instance priority]
instance (priority := 100) HeytingAlgebra.toBoundedOrder [HeytingAlgebra α] : BoundedOrder α :=
{ bot_le := ‹HeytingAlgebra α›.bot_le }
-- See note [lower instance priority]
instance (priority := 100) CoheytingAlgebra.toBoundedOrder [CoheytingAlgebra α] : BoundedOrder α :=
{ ‹CoheytingAlgebra α› with }
-- See note [lower instance priority]
instance (priority := 100) BiheytingAlgebra.toCoheytingAlgebra [BiheytingAlgebra α] :
CoheytingAlgebra α :=
{ ‹BiheytingAlgebra α› with }
-- See note [reducible non-instances]
/-- Construct a Heyting algebra from the lattice structure and Heyting implication alone. -/
abbrev HeytingAlgebra.ofHImp [DistribLattice α] [BoundedOrder α] (himp : α → α → α)
(le_himp_iff : ∀ a b c, a ≤ himp b c ↔ a ⊓ b ≤ c) : HeytingAlgebra α :=
{ ‹DistribLattice α›, ‹BoundedOrder α› with
himp,
compl := fun a => himp a ⊥,
le_himp_iff,
himp_bot := fun _ => rfl }
-- See note [reducible non-instances]
/-- Construct a Heyting algebra from the lattice structure and complement operator alone. -/
abbrev HeytingAlgebra.ofCompl [DistribLattice α] [BoundedOrder α] (compl : α → α)
(le_himp_iff : ∀ a b c, a ≤ compl b ⊔ c ↔ a ⊓ b ≤ c) : HeytingAlgebra α where
himp := (compl · ⊔ ·)
compl := compl
le_himp_iff := le_himp_iff
himp_bot _ := sup_bot_eq _
-- See note [reducible non-instances]
/-- Construct a co-Heyting algebra from the lattice structure and the difference alone. -/
abbrev CoheytingAlgebra.ofSDiff [DistribLattice α] [BoundedOrder α] (sdiff : α → α → α)
(sdiff_le_iff : ∀ a b c, sdiff a b ≤ c ↔ a ≤ b ⊔ c) : CoheytingAlgebra α :=
{ ‹DistribLattice α›, ‹BoundedOrder α› with
sdiff,
hnot := fun a => sdiff ⊤ a,
sdiff_le_iff,
top_sdiff := fun _ => rfl }
-- See note [reducible non-instances]
/-- Construct a co-Heyting algebra from the difference and Heyting negation alone. -/
abbrev CoheytingAlgebra.ofHNot [DistribLattice α] [BoundedOrder α] (hnot : α → α)
(sdiff_le_iff : ∀ a b c, a ⊓ hnot b ≤ c ↔ a ≤ b ⊔ c) : CoheytingAlgebra α where
sdiff a b := a ⊓ hnot b
hnot := hnot
sdiff_le_iff := sdiff_le_iff
top_sdiff _ := top_inf_eq _
/-! In this section, we'll give interpretations of these results in the Heyting algebra model of
intuitionistic logic,- where `≤` can be interpreted as "validates", `⇨` as "implies", `⊓` as "and",
`⊔` as "or", `⊥` as "false" and `⊤` as "true". Note that we confuse `→` and `⊢` because those are
the same in this logic.
See also `Prop.heytingAlgebra`. -/
section GeneralizedHeytingAlgebra
variable [GeneralizedHeytingAlgebra α] {a b c d : α}
/-- `p → q → r ↔ p ∧ q → r` -/
@[simp]
theorem le_himp_iff : a ≤ b ⇨ c ↔ a ⊓ b ≤ c :=
GeneralizedHeytingAlgebra.le_himp_iff _ _ _
/-- `p → q → r ↔ q ∧ p → r` -/
theorem le_himp_iff' : a ≤ b ⇨ c ↔ b ⊓ a ≤ c := by rw [le_himp_iff, inf_comm]
/-- `p → q → r ↔ q → p → r` -/
theorem le_himp_comm : a ≤ b ⇨ c ↔ b ≤ a ⇨ c := by rw [le_himp_iff, le_himp_iff']
/-- `p → q → p` -/
theorem le_himp : a ≤ b ⇨ a :=
le_himp_iff.2 inf_le_left
/-- `p → p → q ↔ p → q` -/
theorem le_himp_iff_left : a ≤ a ⇨ b ↔ a ≤ b := by rw [le_himp_iff, inf_idem]
/-- `p → p` -/
@[simp]
theorem himp_self : a ⇨ a = ⊤ :=
top_le_iff.1 <| le_himp_iff.2 inf_le_right
/-- `(p → q) ∧ p → q` -/
theorem himp_inf_le : (a ⇨ b) ⊓ a ≤ b :=
le_himp_iff.1 le_rfl
/-- `p ∧ (p → q) → q` -/
theorem inf_himp_le : a ⊓ (a ⇨ b) ≤ b := by rw [inf_comm, ← le_himp_iff]
/-- `p ∧ (p → q) ↔ p ∧ q` -/
@[simp]
theorem inf_himp (a b : α) : a ⊓ (a ⇨ b) = a ⊓ b :=
le_antisymm (le_inf inf_le_left <| by rw [inf_comm, ← le_himp_iff]) <| inf_le_inf_left _ le_himp
/-- `(p → q) ∧ p ↔ q ∧ p` -/
@[simp]
theorem himp_inf_self (a b : α) : (a ⇨ b) ⊓ a = b ⊓ a := by rw [inf_comm, inf_himp, inf_comm]
/-- The **deduction theorem** in the Heyting algebra model of intuitionistic logic:
an implication holds iff the conclusion follows from the hypothesis. -/
@[simp]
theorem himp_eq_top_iff : a ⇨ b = ⊤ ↔ a ≤ b := by rw [← top_le_iff, le_himp_iff, top_inf_eq]
/-- `p → true`, `true → p ↔ p` -/
@[simp]
theorem himp_top : a ⇨ ⊤ = ⊤ :=
himp_eq_top_iff.2 le_top
@[simp]
theorem top_himp : ⊤ ⇨ a = a :=
eq_of_forall_le_iff fun b => by rw [le_himp_iff, inf_top_eq]
/-- `p → q → r ↔ p ∧ q → r` -/
theorem himp_himp (a b c : α) : a ⇨ b ⇨ c = a ⊓ b ⇨ c :=
eq_of_forall_le_iff fun d => by simp_rw [le_himp_iff, inf_assoc]
/-- `(q → r) → (p → q) → q → r` -/
theorem himp_le_himp_himp_himp : b ⇨ c ≤ (a ⇨ b) ⇨ a ⇨ c := by
rw [le_himp_iff, le_himp_iff, inf_assoc, himp_inf_self, ← inf_assoc, himp_inf_self, inf_assoc]
exact inf_le_left
@[simp]
theorem himp_inf_himp_inf_le : (b ⇨ c) ⊓ (a ⇨ b) ⊓ a ≤ c := by
simpa using @himp_le_himp_himp_himp
/-- `p → q → r ↔ q → p → r` -/
theorem himp_left_comm (a b c : α) : a ⇨ b ⇨ c = b ⇨ a ⇨ c := by simp_rw [himp_himp, inf_comm]
@[simp]
theorem himp_idem : b ⇨ b ⇨ a = b ⇨ a := by rw [himp_himp, inf_idem]
theorem himp_inf_distrib (a b c : α) : a ⇨ b ⊓ c = (a ⇨ b) ⊓ (a ⇨ c) :=
eq_of_forall_le_iff fun d => by simp_rw [le_himp_iff, le_inf_iff, le_himp_iff]
theorem sup_himp_distrib (a b c : α) : a ⊔ b ⇨ c = (a ⇨ c) ⊓ (b ⇨ c) :=
eq_of_forall_le_iff fun d => by
rw [le_inf_iff, le_himp_comm, sup_le_iff]
simp_rw [le_himp_comm]
theorem himp_le_himp_left (h : a ≤ b) : c ⇨ a ≤ c ⇨ b :=
le_himp_iff.2 <| himp_inf_le.trans h
theorem himp_le_himp_right (h : a ≤ b) : b ⇨ c ≤ a ⇨ c :=
le_himp_iff.2 <| (inf_le_inf_left _ h).trans himp_inf_le
theorem himp_le_himp (hab : a ≤ b) (hcd : c ≤ d) : b ⇨ c ≤ a ⇨ d :=
(himp_le_himp_right hab).trans <| himp_le_himp_left hcd
@[simp]
theorem sup_himp_self_left (a b : α) : a ⊔ b ⇨ a = b ⇨ a := by
rw [sup_himp_distrib, himp_self, top_inf_eq]
@[simp]
theorem sup_himp_self_right (a b : α) : a ⊔ b ⇨ b = a ⇨ b := by
rw [sup_himp_distrib, himp_self, inf_top_eq]
theorem Codisjoint.himp_eq_right (h : Codisjoint a b) : b ⇨ a = a := by
conv_rhs => rw [← @top_himp _ _ a]
rw [← h.eq_top, sup_himp_self_left]
theorem Codisjoint.himp_eq_left (h : Codisjoint a b) : a ⇨ b = b :=
h.symm.himp_eq_right
theorem Codisjoint.himp_inf_cancel_right (h : Codisjoint a b) : a ⇨ a ⊓ b = b := by
rw [himp_inf_distrib, himp_self, top_inf_eq, h.himp_eq_left]
theorem Codisjoint.himp_inf_cancel_left (h : Codisjoint a b) : b ⇨ a ⊓ b = a := by
rw [himp_inf_distrib, himp_self, inf_top_eq, h.himp_eq_right]
/-- See `himp_le` for a stronger version in Boolean algebras. -/
theorem Codisjoint.himp_le_of_right_le (hac : Codisjoint a c) (hba : b ≤ a) : c ⇨ b ≤ a :=
(himp_le_himp_left hba).trans_eq hac.himp_eq_right
| theorem le_himp_himp : a ≤ (a ⇨ b) ⇨ b :=
le_himp_iff.2 inf_himp_le
| Mathlib/Order/Heyting/Basic.lean | 343 | 344 |
/-
Copyright (c) 2019 Sébastien Gouëzel. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Sébastien Gouëzel
-/
import Mathlib.Data.Set.Piecewise
import Mathlib.Logic.Equiv.Defs
import Mathlib.Tactic.Core
import Mathlib.Tactic.Attr.Core
/-!
# Partial equivalences
This files defines equivalences between subsets of given types.
An element `e` of `PartialEquiv α β` is made of two maps `e.toFun` and `e.invFun` respectively
from α to β and from β to α (just like equivs), which are inverse to each other on the subsets
`e.source` and `e.target` of respectively α and β.
They are designed in particular to define charts on manifolds.
The main functionality is `e.trans f`, which composes the two partial equivalences by restricting
the source and target to the maximal set where the composition makes sense.
As for equivs, we register a coercion to functions and use it in our simp normal form: we write
`e x` and `e.symm y` instead of `e.toFun x` and `e.invFun y`.
## Main definitions
* `Equiv.toPartialEquiv`: associating a partial equiv to an equiv, with source = target = univ
* `PartialEquiv.symm`: the inverse of a partial equivalence
* `PartialEquiv.trans`: the composition of two partial equivalences
* `PartialEquiv.refl`: the identity partial equivalence
* `PartialEquiv.ofSet`: the identity on a set `s`
* `EqOnSource`: equivalence relation describing the "right" notion of equality for partial
equivalences (see below in implementation notes)
## Implementation notes
There are at least three possible implementations of partial equivalences:
* equivs on subtypes
* pairs of functions taking values in `Option α` and `Option β`, equal to none where the partial
equivalence is not defined
* pairs of functions defined everywhere, keeping the source and target as additional data
Each of these implementations has pros and cons.
* When dealing with subtypes, one still need to define additional API for composition and
restriction of domains. Checking that one always belongs to the right subtype makes things very
tedious, and leads quickly to DTT hell (as the subtype `u ∩ v` is not the "same" as `v ∩ u`, for
instance).
* With option-valued functions, the composition is very neat (it is just the usual composition, and
the domain is restricted automatically). These are implemented in `PEquiv.lean`. For manifolds,
where one wants to discuss thoroughly the smoothness of the maps, this creates however a lot of
overhead as one would need to extend all classes of smoothness to option-valued maps.
* The `PartialEquiv` version as explained above is easier to use for manifolds. The drawback is that
there is extra useless data (the values of `toFun` and `invFun` outside of `source` and `target`).
In particular, the equality notion between partial equivs is not "the right one", i.e., coinciding
source and target and equality there. Moreover, there are no partial equivs in this sense between
an empty type and a nonempty type. Since empty types are not that useful, and since one almost never
needs to talk about equal partial equivs, this is not an issue in practice.
Still, we introduce an equivalence relation `EqOnSource` that captures this right notion of
equality, and show that many properties are invariant under this equivalence relation.
### Local coding conventions
If a lemma deals with the intersection of a set with either source or target of a `PartialEquiv`,
then it should use `e.source ∩ s` or `e.target ∩ t`, not `s ∩ e.source` or `t ∩ e.target`.
-/
open Lean Meta Elab Tactic
/-! Implementation of the `mfld_set_tac` tactic for working with the domains of partially-defined
functions (`PartialEquiv`, `PartialHomeomorph`, etc).
This is in a separate file from `Mathlib.Logic.Equiv.MfldSimpsAttr` because attributes need a new
file to become functional.
-/
/-- Common `@[simps]` configuration options used for manifold-related declarations. -/
def mfld_cfg : Simps.Config where
attrs := [`mfld_simps]
fullyApplied := false
namespace Tactic.MfldSetTac
/-- A very basic tactic to show that sets showing up in manifolds coincide or are included
in one another. -/
elab (name := mfldSetTac) "mfld_set_tac" : tactic => withMainContext do
let g ← getMainGoal
let goalTy := (← instantiateMVars (← g.getDecl).type).getAppFnArgs
match goalTy with
| (``Eq, #[_ty, _e₁, _e₂]) =>
evalTactic (← `(tactic| (
apply Set.ext; intro my_y
constructor <;>
· intro h_my_y
try simp only [*, mfld_simps] at h_my_y
try simp only [*, mfld_simps])))
| (``Subset, #[_ty, _inst, _e₁, _e₂]) =>
evalTactic (← `(tactic| (
intro my_y h_my_y
try simp only [*, mfld_simps] at h_my_y
try simp only [*, mfld_simps])))
| _ => throwError "goal should be an equality or an inclusion"
attribute [mfld_simps] and_true eq_self_iff_true Function.comp_apply
end Tactic.MfldSetTac
open Function Set
variable {α : Type*} {β : Type*} {γ : Type*} {δ : Type*}
/-- Local equivalence between subsets `source` and `target` of `α` and `β` respectively. The
(global) maps `toFun : α → β` and `invFun : β → α` map `source` to `target` and conversely, and are
inverse to each other there. The values of `toFun` outside of `source` and of `invFun` outside of
`target` are irrelevant. -/
structure PartialEquiv (α : Type*) (β : Type*) where
/-- The global function which has a partial inverse. Its value outside of the `source` subset is
irrelevant. -/
toFun : α → β
/-- The partial inverse to `toFun`. Its value outside of the `target` subset is irrelevant. -/
invFun : β → α
/-- The domain of the partial equivalence. -/
source : Set α
/-- The codomain of the partial equivalence. -/
target : Set β
/-- The proposition that elements of `source` are mapped to elements of `target`. -/
map_source' : ∀ ⦃x⦄, x ∈ source → toFun x ∈ target
/-- The proposition that elements of `target` are mapped to elements of `source`. -/
map_target' : ∀ ⦃x⦄, x ∈ target → invFun x ∈ source
/-- The proposition that `invFun` is a left-inverse of `toFun` on `source`. -/
left_inv' : ∀ ⦃x⦄, x ∈ source → invFun (toFun x) = x
/-- The proposition that `invFun` is a right-inverse of `toFun` on `target`. -/
right_inv' : ∀ ⦃x⦄, x ∈ target → toFun (invFun x) = x
attribute [coe] PartialEquiv.toFun
namespace PartialEquiv
variable (e : PartialEquiv α β) (e' : PartialEquiv β γ)
instance [Inhabited α] [Inhabited β] : Inhabited (PartialEquiv α β) :=
⟨⟨const α default, const β default, ∅, ∅, mapsTo_empty _ _, mapsTo_empty _ _, eqOn_empty _ _,
eqOn_empty _ _⟩⟩
/-- The inverse of a partial equivalence -/
@[symm]
protected def symm : PartialEquiv β α where
toFun := e.invFun
invFun := e.toFun
source := e.target
target := e.source
map_source' := e.map_target'
map_target' := e.map_source'
left_inv' := e.right_inv'
right_inv' := e.left_inv'
instance : CoeFun (PartialEquiv α β) fun _ => α → β :=
⟨PartialEquiv.toFun⟩
/-- See Note [custom simps projection] -/
def Simps.symm_apply (e : PartialEquiv α β) : β → α :=
e.symm
initialize_simps_projections PartialEquiv (toFun → apply, invFun → symm_apply)
theorem coe_mk (f : α → β) (g s t ml mr il ir) :
(PartialEquiv.mk f g s t ml mr il ir : α → β) = f := rfl
@[simp, mfld_simps]
theorem coe_symm_mk (f : α → β) (g s t ml mr il ir) :
((PartialEquiv.mk f g s t ml mr il ir).symm : β → α) = g :=
rfl
@[simp, mfld_simps]
theorem invFun_as_coe : e.invFun = e.symm :=
rfl
@[simp, mfld_simps]
theorem map_source {x : α} (h : x ∈ e.source) : e x ∈ e.target :=
e.map_source' h
/-- Variant of `e.map_source` and `map_source'`, stated for images of subsets of `source`. -/
lemma map_source'' : e '' e.source ⊆ e.target :=
fun _ ⟨_, hx, hex⟩ ↦ mem_of_eq_of_mem (id hex.symm) (e.map_source' hx)
@[simp, mfld_simps]
theorem map_target {x : β} (h : x ∈ e.target) : e.symm x ∈ e.source :=
e.map_target' h
@[simp, mfld_simps]
theorem left_inv {x : α} (h : x ∈ e.source) : e.symm (e x) = x :=
e.left_inv' h
@[simp, mfld_simps]
theorem right_inv {x : β} (h : x ∈ e.target) : e (e.symm x) = x :=
e.right_inv' h
theorem eq_symm_apply {x : α} {y : β} (hx : x ∈ e.source) (hy : y ∈ e.target) :
x = e.symm y ↔ e x = y :=
⟨fun h => by rw [← e.right_inv hy, h], fun h => by rw [← e.left_inv hx, h]⟩
protected theorem mapsTo : MapsTo e e.source e.target := fun _ => e.map_source
theorem symm_mapsTo : MapsTo e.symm e.target e.source :=
e.symm.mapsTo
protected theorem leftInvOn : LeftInvOn e.symm e e.source := fun _ => e.left_inv
protected theorem rightInvOn : RightInvOn e.symm e e.target := fun _ => e.right_inv
protected theorem invOn : InvOn e.symm e e.source e.target :=
⟨e.leftInvOn, e.rightInvOn⟩
protected theorem injOn : InjOn e e.source :=
e.leftInvOn.injOn
protected theorem bijOn : BijOn e e.source e.target :=
e.invOn.bijOn e.mapsTo e.symm_mapsTo
protected theorem surjOn : SurjOn e e.source e.target :=
e.bijOn.surjOn
/-- Interpret an `Equiv` as a `PartialEquiv` by restricting it to `s` in the domain
and to `t` in the codomain. -/
@[simps -fullyApplied]
def _root_.Equiv.toPartialEquivOfImageEq (e : α ≃ β) (s : Set α) (t : Set β) (h : e '' s = t) :
PartialEquiv α β where
toFun := e
invFun := e.symm
source := s
target := t
map_source' _ hx := h ▸ mem_image_of_mem _ hx
map_target' x hx := by
subst t
rcases hx with ⟨x, hx, rfl⟩
rwa [e.symm_apply_apply]
left_inv' x _ := e.symm_apply_apply x
right_inv' x _ := e.apply_symm_apply x
/-- Associate a `PartialEquiv` to an `Equiv`. -/
@[simps! (config := mfld_cfg)]
def _root_.Equiv.toPartialEquiv (e : α ≃ β) : PartialEquiv α β :=
e.toPartialEquivOfImageEq univ univ <| by rw [image_univ, e.surjective.range_eq]
instance inhabitedOfEmpty [IsEmpty α] [IsEmpty β] : Inhabited (PartialEquiv α β) :=
⟨((Equiv.equivEmpty α).trans (Equiv.equivEmpty β).symm).toPartialEquiv⟩
/-- Create a copy of a `PartialEquiv` providing better definitional equalities. -/
@[simps -fullyApplied]
def copy (e : PartialEquiv α β) (f : α → β) (hf : ⇑e = f) (g : β → α) (hg : ⇑e.symm = g) (s : Set α)
(hs : e.source = s) (t : Set β) (ht : e.target = t) :
PartialEquiv α β where
toFun := f
invFun := g
source := s
target := t
map_source' _ := ht ▸ hs ▸ hf ▸ e.map_source
map_target' _ := hs ▸ ht ▸ hg ▸ e.map_target
left_inv' _ := hs ▸ hf ▸ hg ▸ e.left_inv
right_inv' _ := ht ▸ hf ▸ hg ▸ e.right_inv
theorem copy_eq (e : PartialEquiv α β) (f : α → β) (hf : ⇑e = f) (g : β → α) (hg : ⇑e.symm = g)
(s : Set α) (hs : e.source = s) (t : Set β) (ht : e.target = t) :
e.copy f hf g hg s hs t ht = e := by
substs f g s t
cases e
rfl
/-- Associate to a `PartialEquiv` an `Equiv` between the source and the target. -/
protected def toEquiv : e.source ≃ e.target where
toFun x := ⟨e x, e.map_source x.mem⟩
invFun y := ⟨e.symm y, e.map_target y.mem⟩
left_inv := fun ⟨_, hx⟩ => Subtype.eq <| e.left_inv hx
right_inv := fun ⟨_, hy⟩ => Subtype.eq <| e.right_inv hy
@[simp, mfld_simps]
theorem symm_source : e.symm.source = e.target :=
rfl
@[simp, mfld_simps]
theorem symm_target : e.symm.target = e.source :=
rfl
@[simp, mfld_simps]
theorem symm_symm : e.symm.symm = e := rfl
theorem symm_bijective :
Function.Bijective (PartialEquiv.symm : PartialEquiv α β → PartialEquiv β α) :=
Function.bijective_iff_has_inverse.mpr ⟨_, symm_symm, symm_symm⟩
theorem image_source_eq_target : e '' e.source = e.target :=
e.bijOn.image_eq
theorem forall_mem_target {p : β → Prop} : (∀ y ∈ e.target, p y) ↔ ∀ x ∈ e.source, p (e x) := by
rw [← image_source_eq_target, forall_mem_image]
theorem exists_mem_target {p : β → Prop} : (∃ y ∈ e.target, p y) ↔ ∃ x ∈ e.source, p (e x) := by
rw [← image_source_eq_target, exists_mem_image]
/-- We say that `t : Set β` is an image of `s : Set α` under a partial equivalence if
any of the following equivalent conditions hold:
* `e '' (e.source ∩ s) = e.target ∩ t`;
* `e.source ∩ e ⁻¹ t = e.source ∩ s`;
* `∀ x ∈ e.source, e x ∈ t ↔ x ∈ s` (this one is used in the definition).
-/
def IsImage (s : Set α) (t : Set β) : Prop :=
∀ ⦃x⦄, x ∈ e.source → (e x ∈ t ↔ x ∈ s)
namespace IsImage
variable {e} {s : Set α} {t : Set β} {x : α}
theorem apply_mem_iff (h : e.IsImage s t) (hx : x ∈ e.source) : e x ∈ t ↔ x ∈ s :=
h hx
theorem symm_apply_mem_iff (h : e.IsImage s t) : ∀ ⦃y⦄, y ∈ e.target → (e.symm y ∈ s ↔ y ∈ t) :=
e.forall_mem_target.mpr fun x hx => by rw [e.left_inv hx, h hx]
protected theorem symm (h : e.IsImage s t) : e.symm.IsImage t s :=
h.symm_apply_mem_iff
@[simp]
theorem symm_iff : e.symm.IsImage t s ↔ e.IsImage s t :=
⟨fun h => h.symm, fun h => h.symm⟩
protected theorem mapsTo (h : e.IsImage s t) : MapsTo e (e.source ∩ s) (e.target ∩ t) :=
fun _ hx => ⟨e.mapsTo hx.1, (h hx.1).2 hx.2⟩
theorem symm_mapsTo (h : e.IsImage s t) : MapsTo e.symm (e.target ∩ t) (e.source ∩ s) :=
h.symm.mapsTo
/-- Restrict a `PartialEquiv` to a pair of corresponding sets. -/
@[simps -fullyApplied]
def restr (h : e.IsImage s t) : PartialEquiv α β where
toFun := e
invFun := e.symm
source := e.source ∩ s
target := e.target ∩ t
map_source' := h.mapsTo
map_target' := h.symm_mapsTo
left_inv' := e.leftInvOn.mono inter_subset_left
right_inv' := e.rightInvOn.mono inter_subset_left
theorem image_eq (h : e.IsImage s t) : e '' (e.source ∩ s) = e.target ∩ t :=
h.restr.image_source_eq_target
theorem symm_image_eq (h : e.IsImage s t) : e.symm '' (e.target ∩ t) = e.source ∩ s :=
h.symm.image_eq
theorem iff_preimage_eq : e.IsImage s t ↔ e.source ∩ e ⁻¹' t = e.source ∩ s := by
simp only [IsImage, Set.ext_iff, mem_inter_iff, mem_preimage, and_congr_right_iff]
alias ⟨preimage_eq, of_preimage_eq⟩ := iff_preimage_eq
theorem iff_symm_preimage_eq : e.IsImage s t ↔ e.target ∩ e.symm ⁻¹' s = e.target ∩ t :=
symm_iff.symm.trans iff_preimage_eq
alias ⟨symm_preimage_eq, of_symm_preimage_eq⟩ := iff_symm_preimage_eq
theorem of_image_eq (h : e '' (e.source ∩ s) = e.target ∩ t) : e.IsImage s t :=
of_symm_preimage_eq <| Eq.trans (of_symm_preimage_eq rfl).image_eq.symm h
theorem of_symm_image_eq (h : e.symm '' (e.target ∩ t) = e.source ∩ s) : e.IsImage s t :=
of_preimage_eq <| Eq.trans (iff_preimage_eq.2 rfl).symm_image_eq.symm h
protected theorem compl (h : e.IsImage s t) : e.IsImage sᶜ tᶜ := fun _ hx => not_congr (h hx)
protected theorem inter {s' t'} (h : e.IsImage s t) (h' : e.IsImage s' t') :
e.IsImage (s ∩ s') (t ∩ t') := fun _ hx => and_congr (h hx) (h' hx)
protected theorem union {s' t'} (h : e.IsImage s t) (h' : e.IsImage s' t') :
e.IsImage (s ∪ s') (t ∪ t') := fun _ hx => or_congr (h hx) (h' hx)
protected theorem diff {s' t'} (h : e.IsImage s t) (h' : e.IsImage s' t') :
e.IsImage (s \ s') (t \ t') :=
h.inter h'.compl
theorem leftInvOn_piecewise {e' : PartialEquiv α β} [∀ i, Decidable (i ∈ s)]
[∀ i, Decidable (i ∈ t)] (h : e.IsImage s t) (h' : e'.IsImage s t) :
LeftInvOn (t.piecewise e.symm e'.symm) (s.piecewise e e') (s.ite e.source e'.source) := by
rintro x (⟨he, hs⟩ | ⟨he, hs : x ∉ s⟩)
· rw [piecewise_eq_of_mem _ _ _ hs, piecewise_eq_of_mem _ _ _ ((h he).2 hs), e.left_inv he]
· rw [piecewise_eq_of_not_mem _ _ _ hs, piecewise_eq_of_not_mem _ _ _ ((h'.compl he).2 hs),
e'.left_inv he]
theorem inter_eq_of_inter_eq_of_eqOn {e' : PartialEquiv α β} (h : e.IsImage s t)
(h' : e'.IsImage s t) (hs : e.source ∩ s = e'.source ∩ s) (heq : EqOn e e' (e.source ∩ s)) :
e.target ∩ t = e'.target ∩ t := by rw [← h.image_eq, ← h'.image_eq, ← hs, heq.image_eq]
theorem symm_eq_on_of_inter_eq_of_eqOn {e' : PartialEquiv α β} (h : e.IsImage s t)
(hs : e.source ∩ s = e'.source ∩ s) (heq : EqOn e e' (e.source ∩ s)) :
EqOn e.symm e'.symm (e.target ∩ t) := by
rw [← h.image_eq]
rintro y ⟨x, hx, rfl⟩
have hx' := hx; rw [hs] at hx'
rw [e.left_inv hx.1, heq hx, e'.left_inv hx'.1]
end IsImage
theorem isImage_source_target : e.IsImage e.source e.target := fun x hx => by simp [hx]
theorem isImage_source_target_of_disjoint (e' : PartialEquiv α β) (hs : Disjoint e.source e'.source)
(ht : Disjoint e.target e'.target) : e.IsImage e'.source e'.target :=
IsImage.of_image_eq <| by rw [hs.inter_eq, ht.inter_eq, image_empty]
theorem image_source_inter_eq' (s : Set α) : e '' (e.source ∩ s) = e.target ∩ e.symm ⁻¹' s := by
rw [inter_comm, e.leftInvOn.image_inter', image_source_eq_target, inter_comm]
theorem image_source_inter_eq (s : Set α) :
e '' (e.source ∩ s) = e.target ∩ e.symm ⁻¹' (e.source ∩ s) := by
rw [inter_comm, e.leftInvOn.image_inter, image_source_eq_target, inter_comm]
theorem image_eq_target_inter_inv_preimage {s : Set α} (h : s ⊆ e.source) :
e '' s = e.target ∩ e.symm ⁻¹' s := by
rw [← e.image_source_inter_eq', inter_eq_self_of_subset_right h]
theorem symm_image_eq_source_inter_preimage {s : Set β} (h : s ⊆ e.target) :
e.symm '' s = e.source ∩ e ⁻¹' s :=
e.symm.image_eq_target_inter_inv_preimage h
theorem symm_image_target_inter_eq (s : Set β) :
e.symm '' (e.target ∩ s) = e.source ∩ e ⁻¹' (e.target ∩ s) :=
e.symm.image_source_inter_eq _
theorem symm_image_target_inter_eq' (s : Set β) : e.symm '' (e.target ∩ s) = e.source ∩ e ⁻¹' s :=
e.symm.image_source_inter_eq' _
theorem source_inter_preimage_inv_preimage (s : Set α) :
e.source ∩ e ⁻¹' (e.symm ⁻¹' s) = e.source ∩ s :=
Set.ext fun x => and_congr_right_iff.2 fun hx =>
by simp only [mem_preimage, e.left_inv hx]
theorem source_inter_preimage_target_inter (s : Set β) :
e.source ∩ e ⁻¹' (e.target ∩ s) = e.source ∩ e ⁻¹' s :=
ext fun _ => ⟨fun hx => ⟨hx.1, hx.2.2⟩, fun hx => ⟨hx.1, e.map_source hx.1, hx.2⟩⟩
theorem target_inter_inv_preimage_preimage (s : Set β) :
e.target ∩ e.symm ⁻¹' (e ⁻¹' s) = e.target ∩ s :=
e.symm.source_inter_preimage_inv_preimage _
theorem symm_image_image_of_subset_source {s : Set α} (h : s ⊆ e.source) : e.symm '' (e '' s) = s :=
(e.leftInvOn.mono h).image_image
theorem image_symm_image_of_subset_target {s : Set β} (h : s ⊆ e.target) : e '' (e.symm '' s) = s :=
e.symm.symm_image_image_of_subset_source h
theorem source_subset_preimage_target : e.source ⊆ e ⁻¹' e.target :=
e.mapsTo
theorem symm_image_target_eq_source : e.symm '' e.target = e.source :=
e.symm.image_source_eq_target
theorem target_subset_preimage_source : e.target ⊆ e.symm ⁻¹' e.source :=
e.symm_mapsTo
/-- Two partial equivs that have the same `source`, same `toFun` and same `invFun`, coincide. -/
@[ext]
protected theorem ext {e e' : PartialEquiv α β} (h : ∀ x, e x = e' x)
(hsymm : ∀ x, e.symm x = e'.symm x) (hs : e.source = e'.source) : e = e' := by
have A : (e : α → β) = e' := by
ext x
exact h x
have B : (e.symm : β → α) = e'.symm := by
ext x
exact hsymm x
have I : e '' e.source = e.target := e.image_source_eq_target
have I' : e' '' e'.source = e'.target := e'.image_source_eq_target
rw [A, hs, I'] at I
cases e; cases e'
simp_all
/-- Restricting a partial equivalence to `e.source ∩ s` -/
protected def restr (s : Set α) : PartialEquiv α β :=
(@IsImage.of_symm_preimage_eq α β e s (e.symm ⁻¹' s) rfl).restr
@[simp, mfld_simps]
theorem restr_coe (s : Set α) : (e.restr s : α → β) = e :=
rfl
@[simp, mfld_simps]
theorem restr_coe_symm (s : Set α) : ((e.restr s).symm : β → α) = e.symm :=
rfl
@[simp, mfld_simps]
theorem restr_source (s : Set α) : (e.restr s).source = e.source ∩ s :=
rfl
theorem source_restr_subset_source (s : Set α) : (e.restr s).source ⊆ e.source := inter_subset_left
@[simp, mfld_simps]
theorem restr_target (s : Set α) : (e.restr s).target = e.target ∩ e.symm ⁻¹' s :=
rfl
theorem restr_eq_of_source_subset {e : PartialEquiv α β} {s : Set α} (h : e.source ⊆ s) :
e.restr s = e :=
PartialEquiv.ext (fun _ => rfl) (fun _ => rfl) (by simp [inter_eq_self_of_subset_left h])
@[simp, mfld_simps]
theorem restr_univ {e : PartialEquiv α β} : e.restr univ = e :=
restr_eq_of_source_subset (subset_univ _)
/-- The identity partial equiv -/
protected def refl (α : Type*) : PartialEquiv α α :=
(Equiv.refl α).toPartialEquiv
@[simp, mfld_simps]
theorem refl_source : (PartialEquiv.refl α).source = univ :=
rfl
@[simp, mfld_simps]
theorem refl_target : (PartialEquiv.refl α).target = univ :=
rfl
@[simp, mfld_simps]
theorem refl_coe : (PartialEquiv.refl α : α → α) = id :=
rfl
@[simp, mfld_simps]
theorem refl_symm : (PartialEquiv.refl α).symm = PartialEquiv.refl α :=
rfl
@[mfld_simps]
theorem refl_restr_source (s : Set α) : ((PartialEquiv.refl α).restr s).source = s := by simp
@[mfld_simps]
theorem refl_restr_target (s : Set α) : ((PartialEquiv.refl α).restr s).target = s := by simp
/-- The identity partial equivalence on a set `s` -/
def ofSet (s : Set α) : PartialEquiv α α where
toFun := id
invFun := id
source := s
target := s
map_source' _ hx := hx
map_target' _ hx := hx
left_inv' _ _ := rfl
right_inv' _ _ := rfl
@[simp, mfld_simps]
theorem ofSet_source (s : Set α) : (PartialEquiv.ofSet s).source = s :=
rfl
@[simp, mfld_simps]
theorem ofSet_target (s : Set α) : (PartialEquiv.ofSet s).target = s :=
rfl
@[simp, mfld_simps]
theorem ofSet_coe (s : Set α) : (PartialEquiv.ofSet s : α → α) = id :=
rfl
@[simp, mfld_simps]
theorem ofSet_symm (s : Set α) : (PartialEquiv.ofSet s).symm = PartialEquiv.ofSet s :=
rfl
/-- `Function.const` as a `PartialEquiv`.
It consists of two constant maps in opposite directions. -/
@[simps]
def single (a : α) (b : β) : PartialEquiv α β where
toFun := Function.const α b
invFun := Function.const β a
source := {a}
target := {b}
map_source' _ _ := rfl
map_target' _ _ := rfl
left_inv' a' ha' := by rw [eq_of_mem_singleton ha', const_apply]
right_inv' b' hb' := by rw [eq_of_mem_singleton hb', const_apply]
/-- Composing two partial equivs if the target of the first coincides with the source of the
second. -/
@[simps]
protected def trans' (e' : PartialEquiv β γ) (h : e.target = e'.source) : PartialEquiv α γ where
toFun := e' ∘ e
invFun := e.symm ∘ e'.symm
source := e.source
target := e'.target
map_source' x hx := by simp [← h, hx]
map_target' y hy := by simp [h, hy]
left_inv' x hx := by simp [hx, ← h]
right_inv' y hy := by simp [hy, h]
/-- Composing two partial equivs, by restricting to the maximal domain where their composition
is well defined.
Within the `Manifold` namespace, there is the notation `e ≫ f` for this.
-/
@[trans]
protected def trans : PartialEquiv α γ :=
PartialEquiv.trans' (e.symm.restr e'.source).symm (e'.restr e.target) (inter_comm _ _)
@[simp, mfld_simps]
theorem coe_trans : (e.trans e' : α → γ) = e' ∘ e :=
rfl
@[simp, mfld_simps]
theorem coe_trans_symm : ((e.trans e').symm : γ → α) = e.symm ∘ e'.symm :=
rfl
theorem trans_apply {x : α} : (e.trans e') x = e' (e x) :=
rfl
theorem trans_symm_eq_symm_trans_symm : (e.trans e').symm = e'.symm.trans e.symm := by
cases e; cases e'; rfl
@[simp, mfld_simps]
theorem trans_source : (e.trans e').source = e.source ∩ e ⁻¹' e'.source :=
rfl
theorem trans_source' : (e.trans e').source = e.source ∩ e ⁻¹' (e.target ∩ e'.source) := by
mfld_set_tac
theorem trans_source'' : (e.trans e').source = e.symm '' (e.target ∩ e'.source) := by
rw [e.trans_source', e.symm_image_target_inter_eq]
theorem image_trans_source : e '' (e.trans e').source = e.target ∩ e'.source :=
(e.symm.restr e'.source).symm.image_source_eq_target
@[simp, mfld_simps]
theorem trans_target : (e.trans e').target = e'.target ∩ e'.symm ⁻¹' e.target :=
rfl
theorem trans_target' : (e.trans e').target = e'.target ∩ e'.symm ⁻¹' (e'.source ∩ e.target) :=
trans_source' e'.symm e.symm
theorem trans_target'' : (e.trans e').target = e' '' (e'.source ∩ e.target) :=
trans_source'' e'.symm e.symm
theorem inv_image_trans_target : e'.symm '' (e.trans e').target = e'.source ∩ e.target :=
image_trans_source e'.symm e.symm
theorem trans_assoc (e'' : PartialEquiv γ δ) : (e.trans e').trans e'' = e.trans (e'.trans e'') :=
PartialEquiv.ext (fun _ => rfl) (fun _ => rfl)
(by simp [trans_source, @preimage_comp α β γ, inter_assoc])
@[simp, mfld_simps]
theorem trans_refl : e.trans (PartialEquiv.refl β) = e :=
PartialEquiv.ext (fun _ => rfl) (fun _ => rfl) (by simp [trans_source])
@[simp, mfld_simps]
theorem refl_trans : (PartialEquiv.refl α).trans e = e :=
PartialEquiv.ext (fun _ => rfl) (fun _ => rfl) (by simp [trans_source, preimage_id])
theorem trans_ofSet (s : Set β) : e.trans (ofSet s) = e.restr (e ⁻¹' s) :=
PartialEquiv.ext (fun _ => rfl) (fun _ => rfl) rfl
theorem trans_refl_restr (s : Set β) :
e.trans ((PartialEquiv.refl β).restr s) = e.restr (e ⁻¹' s) :=
PartialEquiv.ext (fun _ => rfl) (fun _ => rfl) (by simp [trans_source])
theorem trans_refl_restr' (s : Set β) :
e.trans ((PartialEquiv.refl β).restr s) = e.restr (e.source ∩ e ⁻¹' s) :=
PartialEquiv.ext (fun _ => rfl) (fun _ => rfl) <| by
simp only [trans_source, restr_source, refl_source, univ_inter]
rw [← inter_assoc, inter_self]
theorem restr_trans (s : Set α) : (e.restr s).trans e' = (e.trans e').restr s :=
PartialEquiv.ext (fun _ => rfl) (fun _ => rfl) <| by
simp [trans_source, inter_comm, inter_assoc]
/-- A lemma commonly useful when `e` and `e'` are charts of a manifold. -/
theorem mem_symm_trans_source {e' : PartialEquiv α γ} {x : α} (he : x ∈ e.source)
(he' : x ∈ e'.source) : e x ∈ (e.symm.trans e').source :=
⟨e.mapsTo he, by rwa [mem_preimage, PartialEquiv.symm_symm, e.left_inv he]⟩
/-- `EqOnSource e e'` means that `e` and `e'` have the same source, and coincide there. Then `e`
and `e'` should really be considered the same partial equiv. -/
def EqOnSource (e e' : PartialEquiv α β) : Prop :=
e.source = e'.source ∧ e.source.EqOn e e'
/-- `EqOnSource` is an equivalence relation. This instance provides the `≈` notation between two
`PartialEquiv`s. -/
instance eqOnSourceSetoid : Setoid (PartialEquiv α β) where
r := EqOnSource
iseqv := by constructor <;> simp only [Equivalence, EqOnSource, EqOn] <;> aesop
theorem eqOnSource_refl : e ≈ e :=
Setoid.refl _
/-- Two equivalent partial equivs have the same source. -/
theorem EqOnSource.source_eq {e e' : PartialEquiv α β} (h : e ≈ e') : e.source = e'.source :=
h.1
/-- Two equivalent partial equivs coincide on the source. -/
theorem EqOnSource.eqOn {e e' : PartialEquiv α β} (h : e ≈ e') : e.source.EqOn e e' :=
h.2
/-- Two equivalent partial equivs have the same target. -/
theorem EqOnSource.target_eq {e e' : PartialEquiv α β} (h : e ≈ e') : e.target = e'.target := by
simp only [← image_source_eq_target, ← source_eq h, h.2.image_eq]
/-- If two partial equivs are equivalent, so are their inverses. -/
theorem EqOnSource.symm' {e e' : PartialEquiv α β} (h : e ≈ e') : e.symm ≈ e'.symm := by
refine ⟨target_eq h, eqOn_of_leftInvOn_of_rightInvOn e.leftInvOn ?_ ?_⟩ <;>
simp only [symm_source, target_eq h, source_eq h, e'.symm_mapsTo]
exact e'.rightInvOn.congr_right e'.symm_mapsTo (source_eq h ▸ h.eqOn.symm)
/-- Two equivalent partial equivs have coinciding inverses on the target. -/
theorem EqOnSource.symm_eqOn {e e' : PartialEquiv α β} (h : e ≈ e') :
EqOn e.symm e'.symm e.target :=
-- Porting note: `h.symm'` dot notation doesn't work anymore because `h` is not recognised as
-- `PartialEquiv.EqOnSource` for some reason.
eqOn (symm' h)
/-- Composition of partial equivs respects equivalence. -/
theorem EqOnSource.trans' {e e' : PartialEquiv α β} {f f' : PartialEquiv β γ} (he : e ≈ e')
(hf : f ≈ f') : e.trans f ≈ e'.trans f' := by
constructor
· rw [trans_source'', trans_source'', ← target_eq he, ← hf.1]
exact (he.symm'.eqOn.mono inter_subset_left).image_eq
· intro x hx
rw [trans_source] at hx
simp [Function.comp_apply, PartialEquiv.coe_trans, (he.2 hx.1).symm, hf.2 hx.2]
/-- Restriction of partial equivs respects equivalence. -/
theorem EqOnSource.restr {e e' : PartialEquiv α β} (he : e ≈ e') (s : Set α) :
e.restr s ≈ e'.restr s := by
constructor
· simp [he.1]
· intro x hx
simp only [mem_inter_iff, restr_source] at hx
exact he.2 hx.1
/-- Preimages are respected by equivalence. -/
theorem EqOnSource.source_inter_preimage_eq {e e' : PartialEquiv α β} (he : e ≈ e') (s : Set β) :
e.source ∩ e ⁻¹' s = e'.source ∩ e' ⁻¹' s := by rw [he.eqOn.inter_preimage_eq, source_eq he]
/-- Composition of a partial equivalence and its inverse is equivalent to
the restriction of the identity to the source. -/
theorem self_trans_symm : e.trans e.symm ≈ ofSet e.source := by
have A : (e.trans e.symm).source = e.source := by mfld_set_tac
refine ⟨by rw [A, ofSet_source], fun x hx => ?_⟩
rw [A] at hx
simp only [hx, mfld_simps]
/-- Composition of the inverse of a partial equivalence and this partial equivalence is equivalent
to the restriction of the identity to the target. -/
theorem symm_trans_self : e.symm.trans e ≈ ofSet e.target :=
self_trans_symm e.symm
/-- Two equivalent partial equivs are equal when the source and target are `univ`. -/
theorem eq_of_eqOnSource_univ (e e' : PartialEquiv α β) (h : e ≈ e') (s : e.source = univ)
(t : e.target = univ) : e = e' := by
refine PartialEquiv.ext (fun x => ?_) (fun x => ?_) h.1
· apply h.2
rw [s]
exact mem_univ _
· apply h.symm'.2
rw [symm_source, t]
exact mem_univ _
section Prod
/-- The product of two partial equivalences, as a partial equivalence on the product. -/
def prod (e : PartialEquiv α β) (e' : PartialEquiv γ δ) : PartialEquiv (α × γ) (β × δ) where
source := e.source ×ˢ e'.source
target := e.target ×ˢ e'.target
toFun p := (e p.1, e' p.2)
invFun p := (e.symm p.1, e'.symm p.2)
map_source' p hp := by simp_all
map_target' p hp := by simp_all
left_inv' p hp := by simp_all
right_inv' p hp := by simp_all
@[simp, mfld_simps]
theorem prod_source (e : PartialEquiv α β) (e' : PartialEquiv γ δ) :
(e.prod e').source = e.source ×ˢ e'.source :=
rfl
@[simp, mfld_simps]
theorem prod_target (e : PartialEquiv α β) (e' : PartialEquiv γ δ) :
(e.prod e').target = e.target ×ˢ e'.target :=
rfl
@[simp, mfld_simps]
theorem prod_coe (e : PartialEquiv α β) (e' : PartialEquiv γ δ) :
(e.prod e' : α × γ → β × δ) = fun p => (e p.1, e' p.2) :=
rfl
theorem prod_coe_symm (e : PartialEquiv α β) (e' : PartialEquiv γ δ) :
((e.prod e').symm : β × δ → α × γ) = fun p => (e.symm p.1, e'.symm p.2) :=
rfl
@[simp, mfld_simps]
theorem prod_symm (e : PartialEquiv α β) (e' : PartialEquiv γ δ) :
(e.prod e').symm = e.symm.prod e'.symm := by
ext x <;> simp [prod_coe_symm]
@[simp, mfld_simps]
theorem refl_prod_refl :
(PartialEquiv.refl α).prod (PartialEquiv.refl β) = PartialEquiv.refl (α × β) := by
ext ⟨x, y⟩ <;> simp
@[simp, mfld_simps]
theorem prod_trans {η : Type*} {ε : Type*} (e : PartialEquiv α β) (f : PartialEquiv β γ)
(e' : PartialEquiv δ η) (f' : PartialEquiv η ε) :
(e.prod e').trans (f.prod f') = (e.trans f).prod (e'.trans f') := by
ext ⟨x, y⟩ <;> simp [Set.ext_iff]; tauto
end Prod
/-- Combine two `PartialEquiv`s using `Set.piecewise`. The source of the new `PartialEquiv` is
`s.ite e.source e'.source = e.source ∩ s ∪ e'.source \ s`, and similarly for target. The function
sends `e.source ∩ s` to `e.target ∩ t` using `e` and `e'.source \ s` to `e'.target \ t` using `e'`,
and similarly for the inverse function. The definition assumes `e.isImage s t` and
`e'.isImage s t`. -/
@[simps -fullyApplied]
def piecewise (e e' : PartialEquiv α β) (s : Set α) (t : Set β) [∀ x, Decidable (x ∈ s)]
[∀ y, Decidable (y ∈ t)] (H : e.IsImage s t) (H' : e'.IsImage s t) :
PartialEquiv α β where
toFun := s.piecewise e e'
invFun := t.piecewise e.symm e'.symm
source := s.ite e.source e'.source
target := t.ite e.target e'.target
map_source' := H.mapsTo.piecewise_ite H'.compl.mapsTo
map_target' := H.symm.mapsTo.piecewise_ite H'.symm.compl.mapsTo
left_inv' := H.leftInvOn_piecewise H'
right_inv' := H.symm.leftInvOn_piecewise H'.symm
theorem symm_piecewise (e e' : PartialEquiv α β) {s : Set α} {t : Set β} [∀ x, Decidable (x ∈ s)]
[∀ y, Decidable (y ∈ t)] (H : e.IsImage s t) (H' : e'.IsImage s t) :
(e.piecewise e' s t H H').symm = e.symm.piecewise e'.symm t s H.symm H'.symm :=
rfl
/-- Combine two `PartialEquiv`s with disjoint sources and disjoint targets. We reuse
`PartialEquiv.piecewise`, then override `source` and `target` to ensure better definitional
equalities. -/
@[simps! -fullyApplied]
def disjointUnion (e e' : PartialEquiv α β) (hs : Disjoint e.source e'.source)
(ht : Disjoint e.target e'.target) [∀ x, Decidable (x ∈ e.source)]
[∀ y, Decidable (y ∈ e.target)] : PartialEquiv α β :=
(e.piecewise e' e.source e.target e.isImage_source_target <|
e'.isImage_source_target_of_disjoint _ hs.symm ht.symm).copy
_ rfl _ rfl (e.source ∪ e'.source) (ite_left _ _) (e.target ∪ e'.target) (ite_left _ _)
theorem disjointUnion_eq_piecewise (e e' : PartialEquiv α β) (hs : Disjoint e.source e'.source)
(ht : Disjoint e.target e'.target) [∀ x, Decidable (x ∈ e.source)]
[∀ y, Decidable (y ∈ e.target)] :
e.disjointUnion e' hs ht =
e.piecewise e' e.source e.target e.isImage_source_target
(e'.isImage_source_target_of_disjoint _ hs.symm ht.symm) :=
copy_eq ..
section Pi
variable {ι : Type*} {αi βi γi : ι → Type*}
/-- The product of a family of partial equivalences, as a partial equivalence on the pi type. -/
@[simps (config := mfld_cfg) apply source target]
protected def pi (ei : ∀ i, PartialEquiv (αi i) (βi i)) : PartialEquiv (∀ i, αi i) (∀ i, βi i) where
toFun := Pi.map fun i ↦ ei i
invFun := Pi.map fun i ↦ (ei i).symm
source := pi univ fun i => (ei i).source
target := pi univ fun i => (ei i).target
map_source' _ hf i hi := (ei i).map_source (hf i hi)
map_target' _ hf i hi := (ei i).map_target (hf i hi)
left_inv' _ hf := funext fun i => (ei i).left_inv (hf i trivial)
right_inv' _ hf := funext fun i => (ei i).right_inv (hf i trivial)
@[simp, mfld_simps]
theorem pi_symm (ei : ∀ i, PartialEquiv (αi i) (βi i)) :
(PartialEquiv.pi ei).symm = .pi fun i ↦ (ei i).symm :=
rfl
theorem pi_symm_apply (ei : ∀ i, PartialEquiv (αi i) (βi i)) :
⇑(PartialEquiv.pi ei).symm = fun f i ↦ (ei i).symm (f i) :=
rfl
@[simp, mfld_simps]
theorem pi_refl : (PartialEquiv.pi fun i ↦ PartialEquiv.refl (αi i)) = .refl (∀ i, αi i) := by
ext <;> simp
@[simp, mfld_simps]
theorem pi_trans (ei : ∀ i, PartialEquiv (αi i) (βi i)) (ei' : ∀ i, PartialEquiv (βi i) (γi i)) :
(PartialEquiv.pi ei).trans (PartialEquiv.pi ei') = .pi fun i ↦ (ei i).trans (ei' i) := by
ext <;> simp [forall_and]
end Pi
end PartialEquiv
namespace Set
-- All arguments are explicit to avoid missing information in the pretty printer output
/-- A bijection between two sets `s : Set α` and `t : Set β` provides a partial equivalence
between `α` and `β`. -/
@[simps -fullyApplied]
noncomputable def BijOn.toPartialEquiv [Nonempty α] (f : α → β) (s : Set α) (t : Set β)
(hf : BijOn f s t) : PartialEquiv α β where
toFun := f
invFun := invFunOn f s
source := s
target := t
map_source' := hf.mapsTo
map_target' := hf.surjOn.mapsTo_invFunOn
left_inv' := hf.invOn_invFunOn.1
right_inv' := hf.invOn_invFunOn.2
/-- A map injective on a subset of its domain provides a partial equivalence. -/
@[simp, mfld_simps]
noncomputable def InjOn.toPartialEquiv [Nonempty α] (f : α → β) (s : Set α) (hf : InjOn f s) :
PartialEquiv α β :=
hf.bijOn_image.toPartialEquiv f s (f '' s)
end Set
namespace Equiv
/- `Equiv`s give rise to `PartialEquiv`s. We set up simp lemmas to reduce most properties of the
`PartialEquiv` to that of the `Equiv`. -/
variable (e : α ≃ β) (e' : β ≃ γ)
@[simp, mfld_simps]
theorem refl_toPartialEquiv : (Equiv.refl α).toPartialEquiv = PartialEquiv.refl α :=
rfl
@[simp, mfld_simps]
theorem symm_toPartialEquiv : e.symm.toPartialEquiv = e.toPartialEquiv.symm :=
rfl
@[simp, mfld_simps]
theorem trans_toPartialEquiv :
(e.trans e').toPartialEquiv = e.toPartialEquiv.trans e'.toPartialEquiv :=
PartialEquiv.ext (fun _ => rfl) (fun _ => rfl)
(by simp [PartialEquiv.trans_source, Equiv.toPartialEquiv])
/-- Precompose a partial equivalence with an equivalence.
We modify the source and target to have better definitional behavior. -/
@[simps!]
def transPartialEquiv (e : α ≃ β) (f' : PartialEquiv β γ) : PartialEquiv α γ :=
(e.toPartialEquiv.trans f').copy _ rfl _ rfl (e ⁻¹' f'.source) (univ_inter _) f'.target
(inter_univ _)
theorem transPartialEquiv_eq_trans (e : α ≃ β) (f' : PartialEquiv β γ) :
e.transPartialEquiv f' = e.toPartialEquiv.trans f' :=
PartialEquiv.copy_eq ..
@[simp, mfld_simps]
theorem transPartialEquiv_trans (e : α ≃ β) (f' : PartialEquiv β γ) (f'' : PartialEquiv γ δ) :
(e.transPartialEquiv f').trans f'' = e.transPartialEquiv (f'.trans f'') := by
simp only [transPartialEquiv_eq_trans, PartialEquiv.trans_assoc]
@[simp, mfld_simps]
theorem trans_transPartialEquiv (e : α ≃ β) (e' : β ≃ γ) (f'' : PartialEquiv γ δ) :
(e.trans e').transPartialEquiv f'' = e.transPartialEquiv (e'.transPartialEquiv f'') := by
simp only [transPartialEquiv_eq_trans, PartialEquiv.trans_assoc, trans_toPartialEquiv]
end Equiv
namespace PartialEquiv
/-- Postcompose a partial equivalence with an equivalence.
We modify the source and target to have better definitional behavior. -/
@[simps!]
def transEquiv (e : PartialEquiv α β) (f' : β ≃ γ) : PartialEquiv α γ :=
(e.trans f'.toPartialEquiv).copy _ rfl _ rfl e.source (inter_univ _) (f'.symm ⁻¹' e.target)
(univ_inter _)
theorem transEquiv_eq_trans (e : PartialEquiv α β) (e' : β ≃ γ) :
e.transEquiv e' = e.trans e'.toPartialEquiv :=
copy_eq ..
@[simp, mfld_simps]
theorem transEquiv_transEquiv (e : PartialEquiv α β) (f' : β ≃ γ) (f'' : γ ≃ δ) :
(e.transEquiv f').transEquiv f'' = e.transEquiv (f'.trans f'') := by
simp only [transEquiv_eq_trans, trans_assoc, Equiv.trans_toPartialEquiv]
@[simp, mfld_simps]
theorem trans_transEquiv (e : PartialEquiv α β) (e' : PartialEquiv β γ) (f'' : γ ≃ δ) :
(e.trans e').transEquiv f'' = e.trans (e'.transEquiv f'') := by
simp only [transEquiv_eq_trans, trans_assoc, Equiv.trans_toPartialEquiv]
end PartialEquiv
| Mathlib/Logic/Equiv/PartialEquiv.lean | 1,036 | 1,037 |
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