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Add lean source and binary files (part 119)
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import Mathlib
import OAI.Probability.BinarySweep.FiniteLaws.LinearEvenMoment
import OAI.Probability.BinarySweep.SparseBounds.ConditionalCentered
namespace OAI
noncomputable section
section
open scoped BigOperators Classical
namespace BinaryCoordinateSweeps
open Irrep Representation
variable {b h k : ℕ} {bits : Fin b → ℕ} (H : PathFamily bits h)
(x : Placement H k 0) (g₀ : ConditionalChoices H)
{A W : Type*} [Fintype A] [NormedAddCommGroup W] [InnerProductSpace ℂ W]
[FiniteDimensional ℂ W] (e : A ⊕ Fin k ≃ FreeSlot H 0)
(σ : Representation ℂ (Equiv.Perm A) W)
def augmentedFrame : Equiv.Perm A :=
((augmentedInputBasis H x g₀ e).trans (freeIdentification (augmentByChoice H x g₀))).trans
(augmentedOutputBasis H x g₀ e).symm
def augmentedRepresentation : Representation ℂ (Equiv.Perm (FreeSlot (augmentByChoice H x g₀) 0)) W :=
σ.comp (augmentedInputBasis H x g₀ e).symm.permCongrHom.toMonoidHom
lemma augmented_subgroup_perm (g : ConditionalChoices (augmentByChoice H x g₀)) :
((cosetEquiv (blockPerm e) (fun x => (placementSection e x)⁻¹)
(placement_cosets_bijective e)).symm
((placementSection e (augmentedOutputIndex H x g₀))⁻¹*
remainingPerm H g.val ((augmentByChoice_extension H x g₀).pathEvent_mono g.property))).1 =
augmentedFrame H x g₀ e * (augmentedInputBasis H x g₀ e).symm.permCongr
(remainingPerm (augmentByChoice H x g₀) g.val g.property) := by
rw [augmented_subgroup_bijection]
ext a
simp only [augmentedFrame,Equiv.Perm.mul_apply,Equiv.permCongr_apply,Equiv.trans_apply,
Equiv.symm_symm,Equiv.apply_symm_apply,remainingPerm]
omit [FiniteDimensional ℂ W] in
lemma placementBlock_expectation (z : ℝ) (y : Placement H k 0) :
hilbertBlock (groupAverage (coindHilbertRep (blockPerm e) σ
(fun x => (placementSection e x)⁻¹) (placement_cosets_bijective e))
(fun a => (conditionalGroupLaw H z a:ℂ))) y x =
∑g : ConditionalChoices H, conditionalChoiceWeight H z g •
(if x.trans (remainingPerm H g.val g.property).toEmbedding=y then
σ ((cosetEquiv (blockPerm e) (fun x => (placementSection e x)⁻¹)
(placement_cosets_bijective e)).symm ((placementSection e y)⁻¹*
remainingPerm H g.val g.property)).1 else 0) := by
have hs (r : ℝ) (T : W →ₗ[ℂ] W) : (r:ℂ) • T = r • T :=
algebraMap_smul ℂ r T
calc
_ = ∑a, conditionalGroupLaw H z a •
hilbertBlock (coindHilbertRep (blockPerm e) σ (fun x => (placementSection e x)⁻¹)
(placement_cosets_bijective e) a) y x := by
ext v
simp only [groupAverage,hilbertBlock,LinearMap.comp_apply,LinearMap.sum_apply,LinearMap.smul_apply,map_sum,map_smul]
apply Finset.sum_congr rfl
intro a _
exact algebraMap_smul ℂ (conditionalGroupLaw H z a) _
_ = _ := by
rw [conditionalGroupLaw_expectation]
apply Finset.sum_congr rfl
intro g _
rw [placement_hilbertBlock]
split_ifs <;> rfl
omit [FiniteDimensional ℂ W] in
theorem augmented_block_average (z : ℝ)
(hp : conditionalNormalizer (augmentByChoice H x g₀) z≠0) :
hilbertBlock (groupAverage (coindHilbertRep (blockPerm e) σ
(fun x => (placementSection e x)⁻¹) (placement_cosets_bijective e))
(fun a => (conditionalGroupLaw H z a:ℂ))) (augmentedOutputIndex H x g₀) x =
(conditionalNormalizer (augmentByChoice H x g₀) z / conditionalNormalizer H z) •
(σ (augmentedFrame H x g₀ e) *
groupAverage (augmentedRepresentation H x g₀ e σ)
(fun a => (conditionalGroupLaw (augmentByChoice H x g₀) z a:ℂ))) := by
rw [placementBlock_expectation]
have he := (augmentByChoice_extension H x g₀).conditional_sum z hp
(fun g => σ ((cosetEquiv (blockPerm e) (fun x => (placementSection e x)⁻¹)
(placement_cosets_bijective e)).symm ((placementSection e (augmentedOutputIndex H x g₀))⁻¹*
remainingPerm H g.val ((augmentByChoice_extension H x g₀).pathEvent_mono g.property))).1)
refine Eq.trans ?_ (Eq.trans he ?_)
· apply Finset.sum_congr rfl
intro g _
by_cases hg : pathEvent (augmentByChoice H x g₀) g.val
· rw [dite_eq_left hg,ite_eq_left ((augmentedOutputIndex_event H x g₀ g).mpr hg)]
· rw [dite_eq_right hg,ite_eq_right (fun he => hg ((augmentedOutputIndex_event H x g₀ g).mp he)),smul_zero]
· congr 1
simp_rw [augmented_subgroup_perm,map_mul]
rw [groupAverage]
have hh := conditionalGroupLaw_expectation (augmentByChoice H x g₀) z
(fun a => augmentedRepresentation H x g₀ e σ a)
have hc : (∑a, (conditionalGroupLaw (augmentByChoice H x g₀) z a:ℂ) •
augmentedRepresentation H x g₀ e σ a) =
∑g : ConditionalChoices (augmentByChoice H x g₀),
conditionalChoiceWeight (augmentByChoice H x g₀) z g •
augmentedRepresentation H x g₀ e σ (remainingPerm (augmentByChoice H x g₀) g.val g.property) := by
refine Eq.trans ?_ hh
apply Finset.sum_congr rfl
intro a _
exact algebraMap_smul ℂ (conditionalGroupLaw (augmentByChoice H x g₀) z a)
(augmentedRepresentation H x g₀ e σ a)
rw [hc,Finset.mul_sum]
apply Finset.sum_congr rfl
intro g _
rw [mul_smul_comm]
rfl
end BinaryCoordinateSweeps
end
open scoped BigOperators Classical
namespace BinaryCoordinateSweeps
open Irrep Representation
variable {b h k : ℕ} {bits : Fin b → ℕ} (H : PathFamily bits h)
lemma placementBijection_index (x : Placement H k 0) (g : ConditionalChoices H) :
placementBijection H k g x = placementIdentification H k (augmentedOutputIndex H x g) := by
apply Function.Embedding.ext
intro i
change remainingBijection H g.val g.property (x i) =
freeIdentification H ((freeIdentification H).symm (remainingBijection H g.val g.property (x i)))
exact (Equiv.apply_symm_apply _ _).symm
lemma placementKernel_ratio (z : ℝ) (x : Placement H k 0) (g : ConditionalChoices H) :
placementKernel H z x (augmentedOutputIndex H x g) =
conditionalNormalizer (augmentByChoice H x g) z / conditionalNormalizer H z := by
unfold placementKernel
rw [← placementBijection_index H x g,placementProbability_augmentation,
pathExtension_event_ratio (augmentByChoice_extension H x g)]
lemma placementKernel_output_pos {z : ℝ} (hz : 0≤z) (hz1 : z<1)
(x : Placement H k 0) (g : ConditionalChoices H) :
0<placementKernel H z x (augmentedOutputIndex H x g) := by
rw [placementKernel_ratio]
exact div_pos (conditionalNormalizer_pos _ hz hz1) (conditionalNormalizer_pos _ hz hz1)
variable {A W : Type*} [Fintype A] [NormedAddCommGroup W] [InnerProductSpace ℂ W]
[FiniteDimensional ℂ W] (e : A ⊕ Fin k ≃ FreeSlot H 0)
(σ : Representation ℂ (Equiv.Perm A) W)
omit [FiniteDimensional ℂ W] in
lemma placementBlock_zero {z : ℝ} (hz : 0≤z) (hz1 : z<1)
(x y : Placement H k 0) (hp : placementKernel H z x y=0) :
hilbertBlock (groupAverage (coindHilbertRep (blockPerm e) σ
(fun x => (placementSection e x)⁻¹) (placement_cosets_bijective e))
(fun a => (conditionalGroupLaw H z a:ℂ))) y x = 0 := by
rw [placementBlock_expectation]
apply Finset.sum_eq_zero
intro g _
have hn : x.trans (remainingPerm H g.val g.property).toEmbedding ≠ y := by
intro he
have ht := placementKernel_output_pos H hz hz1 x g
change 0<placementKernel H z x (x.trans (remainingPerm H g.val g.property).toEmbedding) at ht
rw [he,hp] at ht
exact (lt_irrefl 0 ht)
rw [ite_eq_right hn,smul_zero]
lemma placementBlock_moment {z : ℝ} (hz : 0≤z) (hz1 : z<1)
(hσ : ∀ g v, ‖σ g v‖=‖v‖) (q : ℕ)
(x : Placement H k 0) (g : ConditionalChoices H) :
evenMoment q (hilbertBlock (groupAverage (coindHilbertRep (blockPerm e) σ
(fun x => (placementSection e x)⁻¹) (placement_cosets_bijective e))
(fun a => (conditionalGroupLaw H z a:ℂ))) (augmentedOutputIndex H x g) x) =
(placementKernel H z x (augmentedOutputIndex H x g))^(2*q) *
evenMoment q (groupAverage (augmentedRepresentation H x g e σ)
(fun a => (conditionalGroupLaw (augmentByChoice H x g) z a:ℂ))) := by
rw [augmented_block_average H x g e σ z (conditionalNormalizer_pos _ hz hz1).ne',
evenMoment_smul,evenMoment_unitary_left]
· rw [placementKernel_ratio]
· rw [unitary_rep_adjoint σ hσ,←map_mul,inv_mul_cancel,map_one]
lemma placementBlock_moment_root {z : ℝ} (hz : 0≤z) (hz1 : z<1)
(hσ : ∀ g v, ‖σ g v‖=‖v‖) {q : ℕ} (hq : 0<q)
(x : Placement H k 0) (g : ConditionalChoices H) :
evenMoment q (hilbertBlock (groupAverage (coindHilbertRep (blockPerm e) σ
(fun x => (placementSection e x)⁻¹) (placement_cosets_bijective e))
(fun a => (conditionalGroupLaw H z a:ℂ))) (augmentedOutputIndex H x g) x)^(((2*q:ℕ):ℝ)⁻¹) =
placementKernel H z x (augmentedOutputIndex H x g) *
evenMoment q (groupAverage (augmentedRepresentation H x g e σ)
(fun a => (conditionalGroupLaw (augmentByChoice H x g) z a:ℂ)))^(((2*q:ℕ):ℝ)⁻¹) := by
rw [placementBlock_moment H e σ hz hz1 hσ]
have hp := (placementKernel_output_pos H hz hz1 x g).le
rw [Real.mul_rpow (pow_nonneg hp _) (evenMoment_nonneg _ _),
← Real.rpow_natCast,← Real.rpow_mul hp]
have hn : ((2*q:ℕ):ℝ)≠0 := by positivity
rw [mul_inv_cancel₀ hn,Real.rpow_one]
end BinaryCoordinateSweeps
end
end OAI