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Add lean source and binary files (part 62)
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import Mathlib.LinearAlgebra.Basis.Defs
import OAI.Computability.PerfectCompleteness.Algebra.UniformLinearImage
import OAI.Computability.PerfectCompleteness.Sampling.RationalFiniteLawLemmas
import OAI.Computability.UniqueGames.Analysis.MatrixRestrictions
import OAI.Computability.UniqueGames.Foundations.SamplingLemmas
namespace OAI
namespace PerfectCompleteness.RestrictionRowsLaw
noncomputable section
open UniqueGamesTheorem.Integration.BinaryLinear
open UniqueGamesTheorem.Fourier.MatrixRestrictions
open UniqueGamesTheorem.Foundations.Games
open scoped Classical
variable {E C I : Type*} [AddCommGroup E] [Module F2 E]
[AddCommGroup C] [Module F2 C] [Fintype I]
(W : Submodule F2 E) (C' : Submodule F2 C) (b : Module.Basis I F2 C')
def rowsLinear : Parameter W C' →ₗ[F2] (I → Module.Dual F2 (E ⧸ W)) where
toFun A i := (b.coord i).comp A
map_add' A B := by
funext i
apply LinearMap.ext
intro x
exact map_add (b.coord i) (A x) (B x)
map_smul' a A := by
funext i
apply LinearMap.ext
intro x
exact map_smul (b.coord i) a (A x)
omit [Fintype I] in
@[simp] theorem rowsLinear_apply (A : Parameter W C') (i : I) :
rowsLinear W C' b A i = (b.coord i).comp A := rfl
def fromRows (rows : I → Module.Dual F2 (E ⧸ W)) : Parameter W C' :=
b.equivFun.symm.toLinearMap.comp (LinearMap.pi rows)
@[simp] theorem rowsLinear_fromRows (rows : I → Module.Dual F2 (E ⧸ W)) :
rowsLinear W C' b (fromRows W C' b rows) = rows := by
funext i
apply LinearMap.ext
intro x
exact b.coord_equivFun_symm i (fun j => rows j x)
theorem rowsLinear_surjective : Function.Surjective (rowsLinear W C' b) :=
fun rows => ⟨fromRows W C' b rows, rowsLinear_fromRows W C' b rows⟩
omit [Fintype I] in
theorem rowsLinear_injective : Function.Injective (rowsLinear W C' b) := by
intro A B h
apply LinearMap.ext
intro x
apply b.repr.injective
ext i
exact congrArg (fun rows : I → Module.Dual F2 (E ⧸ W) => rows i x) h
def rowsEquiv : Parameter W C' ≃ₗ[F2] (I → Module.Dual F2 (E ⧸ W)) :=
LinearEquiv.ofBijective (rowsLinear W C' b)
⟨rowsLinear_injective W C' b, rowsLinear_surjective W C' b⟩
section Selection
variable {J : Type*} (sel : J → I)
def selectLinear : (I → Module.Dual F2 (E ⧸ W)) →ₗ[F2]
(J → Module.Dual F2 (E ⧸ W)) :=
LinearMap.pi (fun j => LinearMap.proj (sel j))
omit [Fintype I] in
theorem selectLinear_surjective (hsel : Function.Injective sel) :
Function.Surjective (selectLinear W sel) :=
hsel.surjective_comp_right
def selectedRowsLinear : Parameter W C' →ₗ[F2] (J → Module.Dual F2 (E ⧸ W)) :=
(selectLinear W sel).comp (rowsLinear W C' b)
omit [Fintype I] in
@[simp] theorem selectedRowsLinear_apply (A : Parameter W C') (j : J) :
selectedRowsLinear W C' b sel A j = (b.coord (sel j)).comp A := rfl
theorem selectedRowsLinear_surjective (hsel : Function.Injective sel) :
Function.Surjective (selectedRowsLinear W C' b sel) :=
(selectLinear_surjective W sel hsel).comp (rowsLinear_surjective W C' b)
end Selection
section Uniform
variable [Fintype (Parameter W C')] [Fintype (Module.Dual F2 (E ⧸ W))]
theorem uniform_rowsLinear :
(FiniteDistribution.uniform (Parameter W C')).pushforward (rowsLinear W C' b) =
FiniteDistribution.uniform (I → Module.Dual F2 (E ⧸ W)) :=
UniformLinearImage.uniform_pushforward_linearMap
(rowsLinear W C' b) (rowsLinear_surjective W C' b)
theorem uniform_rows_law [DecidableEq I] :
(FiniteDistribution.uniform (Parameter W C')).pushforward (rowsLinear W C' b) =
FiniteProduct.law (fun _ : I => FiniteDistribution.uniform
(Module.Dual F2 (E ⧸ W))) := by
rw [UniformLinearImage.law_uniform]
exact UniformLinearImage.uniform_pushforward_linearMap
(rowsLinear W C' b) (rowsLinear_surjective W C' b)
private theorem uniform_add_left {V : Type*} [AddGroup V] [Fintype V] (offset : V) :
(FiniteDistribution.uniform V).pushforward (fun x => offset + x) =
FiniteDistribution.uniform V := by
change (FiniteDistribution.uniform V).pushforward (Equiv.addLeft offset) = _
rw [FiniteDistribution.pushforward_equiv]
apply FiniteDistribution.eq_of_weight_eq
intro x
rfl
theorem uniform_translated_rows (offsets : I → Module.Dual F2 (E ⧸ W)) :
(FiniteDistribution.uniform (Parameter W C')).pushforward
(fun A => offsets + rowsLinear W C' b A) =
FiniteDistribution.uniform (I → Module.Dual F2 (E ⧸ W)) := by
rw [← FiniteDistribution.pushforward_comp
(FiniteDistribution.uniform (Parameter W C')) (rowsLinear W C' b)
(fun rows => offsets + rows), uniform_rowsLinear]
exact uniform_add_left offsets
variable {J : Type*} [Fintype J] (sel : J → I)
theorem uniform_selectedRowsLinear (hsel : Function.Injective sel) :
(FiniteDistribution.uniform (Parameter W C')).pushforward
(selectedRowsLinear W C' b sel) =
FiniteDistribution.uniform (J → Module.Dual F2 (E ⧸ W)) :=
UniformLinearImage.uniform_pushforward_linearMap
(selectedRowsLinear W C' b sel) (selectedRowsLinear_surjective W C' b sel hsel)
theorem uniform_selected_rows_law [DecidableEq J] (hsel : Function.Injective sel) :
(FiniteDistribution.uniform (Parameter W C')).pushforward
(selectedRowsLinear W C' b sel) =
FiniteProduct.law (fun _ : J => FiniteDistribution.uniform
(Module.Dual F2 (E ⧸ W))) := by
rw [UniformLinearImage.law_uniform]
exact UniformLinearImage.uniform_pushforward_linearMap
(selectedRowsLinear W C' b sel) (selectedRowsLinear_surjective W C' b sel hsel)
end Uniform
def affineRow (offset : Module.Dual F2 E) (row : Module.Dual F2 (E ⧸ W)) :
Module.Dual F2 E := offset + row.comp W.mkQ
omit [Fintype I] in
theorem coordinate_translate (coordinates : I → Module.Dual F2 C)
(hcoordinates : ∀ i, (coordinates i).comp C'.subtype = b.coord i)
(X : E →ₗ[F2] C) (A : Parameter W C') (i : I) :
(coordinates i).comp (translate W C' X A) =
affineRow W ((coordinates i).comp X) (rowsLinear W C' b A i) := by
apply LinearMap.ext
intro x
change coordinates i (X x + (A (W.mkQ x) : C)) =
coordinates i (X x) + b.coord i (A (W.mkQ x))
rw [map_add]
congr 1
exact congrArg (fun f : C' →ₗ[F2] F2 => f (A (W.mkQ x))) (hcoordinates i)
variable [Fintype (Parameter W C')] [Fintype (Module.Dual F2 (E ⧸ W))]
[Fintype (Module.Dual F2 E)]
def affineRowLaw (offset : Module.Dual F2 E) : FiniteDistribution (Module.Dual F2 E) :=
(FiniteDistribution.uniform (Module.Dual F2 (E ⧸ W))).pushforward (affineRow W offset)
theorem uniform_affine_rows_law [DecidableEq I] (offsets : I → Module.Dual F2 E) :
(FiniteDistribution.uniform (Parameter W C')).pushforward
(fun A i => affineRow W (offsets i) (rowsLinear W C' b A i)) =
FiniteProduct.law (fun i => affineRowLaw W (offsets i)) := by
rw [← FiniteDistribution.pushforward_comp
(FiniteDistribution.uniform (Parameter W C')) (rowsLinear W C' b)
(fun rows i => affineRow W (offsets i) (rows i)), uniform_rows_law]
exact FiniteProduct.pushforward_map _ (fun i => affineRow W (offsets i))
theorem uniform_coordinate_translate_law [DecidableEq I]
(coordinates : I → Module.Dual F2 C)
(hcoordinates : ∀ i, (coordinates i).comp C'.subtype = b.coord i)
(X : E →ₗ[F2] C) :
(FiniteDistribution.uniform (Parameter W C')).pushforward
(fun A i => (coordinates i).comp (translate W C' X A)) =
FiniteProduct.law (fun i => affineRowLaw W ((coordinates i).comp X)) := by
have hrows : (fun A i => (coordinates i).comp (translate W C' X A)) =
(fun A i => affineRow W ((coordinates i).comp X) (rowsLinear W C' b A i)) := by
funext A i
exact coordinate_translate W C' b coordinates hcoordinates X A i
rw [hrows]
exact uniform_affine_rows_law W C' b (fun i => (coordinates i).comp X)
variable {J : Type*} [Fintype J] [DecidableEq J]
theorem uniform_selected_affine_rows_law (sel : J → I)
(hsel : Function.Injective sel) (offsets : J → Module.Dual F2 E) :
(FiniteDistribution.uniform (Parameter W C')).pushforward
(fun A j => affineRow W (offsets j) (selectedRowsLinear W C' b sel A j)) =
FiniteProduct.law (fun j => affineRowLaw W (offsets j)) := by
rw [← FiniteDistribution.pushforward_comp
(FiniteDistribution.uniform (Parameter W C')) (selectedRowsLinear W C' b sel)
(fun rows j => affineRow W (offsets j) (rows j)),
uniform_selected_rows_law W C' b sel hsel]
exact FiniteProduct.pushforward_map _ (fun j => affineRow W (offsets j))
end
end PerfectCompleteness.RestrictionRowsLaw
end OAI