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Add lean source and binary files (part 119)
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import Mathlib
import OAI.Probability.BinarySweep.GridBounds.GroupedMoments
import OAI.Probability.BinarySweep.GridBounds.GroupingGeometry
import OAI.Probability.BinarySweep.GridBounds.GridSplitFree
import OAI.Probability.BinarySweep.FiniteLaws.IndependentPush
namespace OAI
noncomputable section
section
open scoped BigOperators Classical
namespace BinaryCoordinateSweeps
open Irrep Representation
lemma finitePush_conditional {b h : ℕ} {bits : Fin b → ℕ} (H : PathFamily bits h)
(z : ℝ) (a : Equiv.Perm (FreeSlot H 0)) :
finitePush (fun g : ConditionalChoices H => (conditionalChoiceWeight H z g:ℂ))
(fun g => remainingPerm H g.val g.property) a = (conditionalGroupLaw H z a:ℂ) := by
simp only [finitePush,conditionalGroupLaw,Complex.ofReal_sum,apply_ite,Complex.ofReal_zero]
lemma independentConditional_expectation {I : Type*} [Fintype I]
(b h : I → ℕ) (bits : ∀i, Fin (b i) → ℕ) (H : ∀i, PathFamily (bits i) (h i))
{V : Type*} [AddCommMonoid V] [Module ℂ V] (z : ℝ)
(F : (∀i, Equiv.Perm (FreeSlot (H i) 0)) → V) :
(∑a, (∏i, (conditionalGroupLaw (H i) z (a i):ℂ)) • F a) =
∑g : ∀i, ConditionalChoices (H i),
(∏i, (conditionalChoiceWeight (H i) z (g i):ℂ)) •
F (fun i => remainingPerm (H i) (g i).val (g i).property) := by
have he := independentPush_expectation
(fun i (g : ConditionalChoices (H i)) => (conditionalChoiceWeight (H i) z g:ℂ))
(fun i (g : ConditionalChoices (H i)) => remainingPerm (H i) g.val g.property) F
simpa only [finitePush_conditional] using he
private lemma sigma_relative {I X Y : Type*} {A B : I → Type*}
(e : X ≃ Σ i, A i) (f : Y ≃ Σ i, B i) (g r : ∀ i, A i ≃ B i) :
(e.trans ((Equiv.sigmaCongrRight g).trans f.symm)).trans
(e.trans ((Equiv.sigmaCongrRight r).trans f.symm)).symm =
e.symm.permCongr (Equiv.Perm.sigmaCongrRight (fun i => (g i).trans (r i).symm)) := by
ext x
simp [Equiv.permCongr_apply, Equiv.sigmaCongrRight, Equiv.Perm.sigmaCongrRight]
namespace GridSplit
variable {m n h : ℕ} (bits : Fin (m+n) → ℕ) (H : PathFamily bits h)
def rowInputEquiv : FreeSlot H 0 ≃
Σy : GridSlot (rightBits bits), FreeSlot (rowFamily bits H y) 0 := rowFreeEquiv bits H 0
lemma rowRelative_sigma (g : RowSamples bits H) :
rowRelative bits H g = (rowInputEquiv bits H).symm.permCongr
(Equiv.Perm.sigmaCongrRight (fun y =>
remainingPerm (rowFamily bits H y) (g y).val (g y).property)) := by
exact sigma_relative (rowFreeEquiv bits H 0) (rowFreeEquiv bits H (Fin.last m))
(fun y => remainingBijection (rowFamily bits H y) (g y).val (g y).property)
(fun y => freeIdentification (rowFamily bits H y))
lemma columnRelative_sigma (g : ColumnSamples bits H) :
columnRelative bits H g = (columnFreeEquiv bits H 0).symm.permCongr
(Equiv.Perm.sigmaCongrRight (fun x =>
remainingPerm (columnFamily bits H x) (g x).val (g x).property)) := by
exact sigma_relative (columnFreeEquiv bits H 0) (columnFreeEquiv bits H (Fin.last n))
(fun x => remainingBijection (columnFamily bits H x) (g x).val (g x).property)
(fun x => freeIdentification (columnFamily bits H x))
variable {V : Type*} [NormedAddCommGroup V] [InnerProductSpace ℂ V] [FiniteDimensional ℂ V]
(ρ : Representation ℂ (Equiv.Perm (FreeSlot H 0)) V)
omit [FiniteDimensional ℂ V] in
theorem rowAverage_child_laws (z : ℝ) :
rowAverage bits H ρ z =
∑a : ∀y, Equiv.Perm (FreeSlot (rowFamily bits H y) 0),
(∏y, (conditionalGroupLaw (rowFamily bits H y) z (a y):ℂ)) •
ρ ((rowInputEquiv bits H).symm.permCongr (Equiv.Perm.sigmaCongrRight a)) := by
trans ∑g : RowSamples bits H,
(∏y, (conditionalChoiceWeight (rowFamily bits H y) z (g y):ℂ)) •
ρ ((rowInputEquiv bits H).symm.permCongr (Equiv.Perm.sigmaCongrRight
(fun y => remainingPerm (rowFamily bits H y) (g y).val (g y).property)))
· unfold rowAverage
apply Finset.sum_congr rfl
intro g _
rw [rowRelative_sigma]
· let F : (∀y, Equiv.Perm (FreeSlot (rowFamily bits H y) 0)) → Module.End ℂ V :=
fun a => ρ ((rowInputEquiv bits H).symm.permCongr (Equiv.Perm.sigmaCongrRight a))
have he := independentConditional_expectation (I := GridSlot (rightBits bits)) (fun _ => m)
(fun y => Fintype.card (RowLabels bits H y)) (fun _ => leftBits bits) (rowFamily bits H) z
F
apply Eq.symm
refine Eq.trans ?_ (Eq.trans he ?_)
all_goals
apply Finset.sum_congr
· ext g; simp only [Finset.mem_univ]
· intro g _; rfl
omit [FiniteDimensional ℂ V] in
theorem columnAverage_child_laws (z : ℝ) :
columnAverage bits H ρ z =
∑a : ∀x, Equiv.Perm (FreeSlot (columnFamily bits H x) 0),
(∏x, (conditionalGroupLaw (columnFamily bits H x) z (a x):ℂ)) •
ρ ((rowReference bits H).symm.permCongr
((columnFreeEquiv bits H 0).symm.permCongr (Equiv.Perm.sigmaCongrRight a))) := by
trans ∑g : ColumnSamples bits H,
(∏x, (conditionalChoiceWeight (columnFamily bits H x) z (g x):ℂ)) •
ρ ((rowReference bits H).symm.permCongr
((columnFreeEquiv bits H 0).symm.permCongr (Equiv.Perm.sigmaCongrRight
(fun x => remainingPerm (columnFamily bits H x) (g x).val (g x).property))))
· unfold columnAverage
apply Finset.sum_congr rfl
intro g _
rw [columnRelative_sigma]
· let F : (∀x, Equiv.Perm (FreeSlot (columnFamily bits H x) 0)) → Module.End ℂ V :=
fun a => ρ ((rowReference bits H).symm.permCongr
((columnFreeEquiv bits H 0).symm.permCongr (Equiv.Perm.sigmaCongrRight a)))
have he := independentConditional_expectation (I := GridSlot (leftBits bits)) (fun _ => n)
(fun x => Fintype.card (ColumnLabels bits H x)) (fun _ => rightBits bits) (columnFamily bits H) z
F
apply Eq.symm
refine Eq.trans ?_ (Eq.trans he ?_)
all_goals
apply Finset.sum_congr
· ext g; simp only [Finset.mem_univ]
· intro g _; rfl
end GridSplit
end BinaryCoordinateSweeps
namespace BinaryCoordinateSweeps.GridSplit
open Signed
variable {m n h : ℕ} (bits : Fin (m+n) → ℕ) (H : PathFamily bits h)
local instance rowOrder : LinearOrder (GridSlot (rightBits bits)) :=
LinearOrder.lift' (Fintype.equivFin _) (Fintype.equivFin _).injective
local instance columnOrder : LinearOrder (GridSlot (leftBits bits)) :=
LinearOrder.lift' (Fintype.equivFin _) (Fintype.equivFin _).injective
abbrev Junction := FreeSlot H (rightTime (m:=m) 0)
abbrev junctionSize := Fintype.card (Junction bits H)
def junctionEnum : Junction bits H ≃ Fin (junctionSize bits H) := Fintype.equivFin _
def physicalBoard : Fin (junctionSize bits H) ↪
GridSlot (rightBits bits) × GridSlot (leftBits bits) where
toFun t := (rightSlot bits ((junctionEnum bits H).symm t).val,
leftSlot bits ((junctionEnum bits H).symm t).val)
inj' := by
intro t u he
apply (junctionEnum bits H).symm.injective
apply Subtype.ext
apply (slotEquiv bits).injective
exact Prod.ext (congrArg Prod.snd he) (congrArg Prod.fst he)
def rowGrouping : (Σy : GridSlot (rightBits bits), FreeSlot (rowFamily bits H y) 0) ≃
Fin (junctionSize bits H) :=
(rowInputEquiv bits H).symm.trans ((rowReference bits H).trans (junctionEnum bits H))
def columnGrouping : (Σx : GridSlot (leftBits bits), FreeSlot (columnFamily bits H x) 0) ≃
Fin (junctionSize bits H) :=
(columnFreeEquiv bits H 0).symm.trans (junctionEnum bits H)
lemma rowReference_right (a : FreeSlot H 0) :
rightSlot bits (rowReference bits H a).val=rightSlot bits a.val := by
exact right_join bits _ _
lemma rowGrouping_first (t : Fin (junctionSize bits H)) :
((rowGrouping bits H).symm t).1=(physicalBoard bits H t).1 := by
change rightSlot bits ((rowReference bits H).symm ((junctionEnum bits H).symm t)).val =
rightSlot bits ((junctionEnum bits H).symm t).val
symm
simpa only [Equiv.apply_symm_apply] using
rowReference_right bits H ((rowReference bits H).symm ((junctionEnum bits H).symm t))
lemma columnGrouping_first (t : Fin (junctionSize bits H)) :
((columnGrouping bits H).symm t).1=(physicalBoard bits H t).2 := rfl
lemma physicalBoard_row (t : Fin (junctionSize bits H)) :
groupOf (groupingOrder (rowGrouping bits H)) (groupingPerm (rowGrouping bits H)) t=
(physicalBoard bits H t).1 := by
rw [grouping_groupOf,rowGrouping_first]
lemma physicalBoard_column (t : Fin (junctionSize bits H)) :
groupOf (groupingOrder (columnGrouping bits H)) (groupingPerm (columnGrouping bits H)) t=
(physicalBoard bits H t).2 := by
rw [grouping_groupOf,columnGrouping_first]
lemma junctionSize_eq : junctionSize bits H=gridSize bits-h := by
exact card_freeSlot H _
end BinaryCoordinateSweeps.GridSplit
end
open scoped BigOperators Classical
namespace BinaryCoordinateSweeps.Signed
variable {I A : Type*} [Fintype I] [LinearOrder I] [Fintype A] [DecidableEq A]
{X : I → Type*} [∀i,Fintype (X i)] {N : ℕ}
def finBlockPermEquiv : (∀i, Equiv.Perm (X i)) ≃
(∀i, Equiv.Perm (Fin (Fintype.card (X i)))) :=
Equiv.piCongrRight (fun i => (Fintype.equivFin (X i)).permCongr)
theorem groupedAverage_literal (e : (Σi, X i) ≃ Fin N) (p : A → Bool)
(w : ∀i, Equiv.Perm (X i) → ℂ) :
groupedAverage (groupingOrder e) (groupingPerm e) p
(fun i a => w i ((Fintype.equivFin (X i)).symm.permCongr a)) =
∑a : ∀i, Equiv.Perm (X i), (∏i, w i (a i)) •
actionMatrix p (e.permCongr (Equiv.Perm.sigmaCongrRight a)) := by
rw [groupedAverage_law,← (finBlockPermEquiv (X:=X)).sum_comp]
apply Finset.sum_congr rfl
intro a _
rw [grouping_permutation]
have he (i : I) : (Fintype.equivFin (X i)).symm.permCongr
(finBlockPermEquiv a i)=a i := by
ext x
simp [finBlockPermEquiv,Equiv.permCongr_apply]
simp only [he]
rfl
lemma groupedAverage_literal_linear (e : (Σi, X i) ≃ Fin N) (p : A → Bool)
(w : ∀i, Equiv.Perm (X i) → ℂ) :
(groupedAverage (groupingOrder e) (groupingPerm e) p
(fun i a => w i ((Fintype.equivFin (X i)).symm.permCongr a))).toEuclideanLin =
∑a : ∀i, Equiv.Perm (X i), (∏i, w i (a i)) •
hilbertTensorRep p N (e.permCongr (Equiv.Perm.sigmaCongrRight a)) := by
rw [groupedAverage_literal]
simp only [map_sum,map_smul,actionMatrix_linear]
end BinaryCoordinateSweeps.Signed
end
end OAI