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