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9b6e014 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 | import Mathlib
import OAI.Probability.BinarySweep.GridBounds.ProjectionSplitting
import OAI.Probability.BinarySweep.GridBounds.GroupedLogBounds
import OAI.Probability.BinarySweep.GridBounds.GridBoardAverage
import OAI.Probability.BinarySweep.FiniteLaws.SampleMoment
namespace OAI
noncomputable section
section
open scoped BigOperators Classical
namespace BinaryCoordinateSweeps.GridSplit
open Irrep Representation Signed TraceHolder Density
variable {m n h : ℕ} (bits : Fin (m+n) → ℕ) (H : PathFamily bits h)
{A : Type*} [Fintype A] [DecidableEq A]
local instance : LinearOrder (GridSlot (rightBits bits)) := rowOrder bits
local instance : LinearOrder (GridSlot (leftBits bits)) := columnOrder bits
def junctionAverage (p : A → Bool) (z : ℝ) :=
sampleMatrix p (fun a => (conditionalGroupLaw H z a:ℂ)) (inputToJunction bits H).permCongr
def junctionFrame (p : A → Bool) :=
actionMatrix p ((inputToJunction bits H).permCongr (framePermutation bits H))
lemma junctionAverage_linear (p : A → Bool) (z : ℝ) :
(junctionAverage bits H p z).toEuclideanLin=
groupAverage (junctionTensorRep bits H p) (fun a => (conditionalGroupLaw H z a:ℂ)) := by
exact sampleMatrix_linear p _ _
lemma junctionAverage_split (p : A → Bool) (z : ℝ) :
junctionAverage bits H p z=junctionFrame bits H p*columnMatrix bits H p z*rowMatrix bits H p z := by
apply Matrix.toEuclideanLin.injective
rw [junctionAverage_linear,groupAverage_split,rowAverage_matrix,columnAverage_matrix]
simp only [Matrix.toLpLin_mul_same,←Module.End.mul_eq_comp,junctionFrame,actionMatrix_linear]
rfl
variable {V : Type*} [NormedAddCommGroup V] [InnerProductSpace ℂ V] [FiniteDimensional ℂ V]
(ρ : Representation ℂ (Equiv.Perm (Fin (junctionSize bits H))) V)
omit [FiniteDimensional ℂ V] in
lemma projection_commutes_column (p : A → Bool) (z : ℝ) :
isotypicProjection p ρ*columnMatrix bits H p z=columnMatrix bits H p z*isotypicProjection p ρ := by
unfold columnMatrix
rw [groupedAverage_law]
simp only [Finset.mul_sum,Finset.sum_mul,mul_smul_comm,smul_mul_assoc,typeProjection_commutes_action]
omit [FiniteDimensional ℂ V] in
lemma junction_projected_moment (p : A → Bool) (z : ℝ) (q : ℕ) :
matrixMoment q (isotypicProjection p ρ*junctionAverage bits H p z)=
matrixMoment q (columnMatrix bits H p z*isotypicProjection p ρ*rowMatrix bits H p z) := by
rw [junctionAverage_split,←mul_assoc,←mul_assoc]
have hu : isotypicProjection p ρ*junctionFrame bits H p=
junctionFrame bits H p*isotypicProjection p ρ := typeProjection_commutes_action p ρ _
rw [hu,mul_assoc (junctionFrame bits H p),projection_commutes_column,
mul_assoc (junctionFrame bits H p)]
rw [matrixMoment_linear,matrixMoment_linear,Matrix.toLpLin_mul_same,
←Module.End.mul_eq_comp]
apply evenMoment_unitary_left
change (Matrix.toEuclideanLin (junctionFrame bits H p)).adjoint*
Matrix.toEuclideanLin (junctionFrame bits H p)=1
unfold junctionFrame
rw [actionMatrix_linear,unitary_rep_adjoint _ (hilbertTensorRep_unitary p),←map_mul,
inv_mul_cancel,map_one]
theorem conditional_le_junction [ρ.IsIrreducible]
(hρ : ∀g v, ‖ρ g v‖=‖v‖) (p : A → Bool)
(hocc : 0<Module.finrank ℂ (IntertwiningMap ρ (hilbertTensorRep p (junctionSize bits H))))
(z : ℝ) {q : ℕ} (hq : 0<q) :
evenMoment q (groupAverage (ρ.comp (inputToJunction bits H).permCongrHom.toMonoidHom)
(fun a => (conditionalGroupLaw H z a:ℂ)))≤
matrixMoment q (columnMatrix bits H p z*isotypicProjection p ρ*rowMatrix bits H p z) := by
rw [←junction_projected_moment bits H ρ p z q]
exact sampleMoment_le_projected p ρ hρ hocc _ _ hq
end BinaryCoordinateSweeps.GridSplit
end
open scoped BigOperators Classical Matrix.Norms.L2Operator
namespace BinaryCoordinateSweeps.Signed
open Irrep Representation TraceHolder
variable {A I J : Type*} [Fintype A] [DecidableEq A] [Nonempty A]
[Fintype I] [LinearOrder I] [Nonempty I] [Fintype J] [LinearOrder J]
{n : I → ℕ} {m : J → ℕ} {N : ℕ}
def typeF {n : ℕ} (α : n.Partition) : ℝ := Real.log (Module.finrank ℂ (Young.PartitionHilbert α):ℝ)
def blockLogSize {I : Type*} [Fintype I] (n : I → ℕ) : ℝ := ∑i, Real.log (n i+1:ℝ)
omit [Nonempty A] [Nonempty I] in
lemma blockActive_card_exp (p : A → Bool) :
(Fintype.card (∀i, ActiveType p (n i)):ℝ)≤
Real.exp ((Fintype.card A:ℝ)^2*blockLogSize n) := by
have hc : (Fintype.card (∀i, ActiveType p (n i)):ℝ)≤∏i,(n i+1:ℝ)^((Fintype.card A)^2) := by
exact_mod_cast blockActive_card (n:=n) p
refine hc.trans_eq ?_
rw [blockLogSize,Finset.mul_sum,Real.exp_sum]
apply Finset.prod_congr rfl
intro i _
exact_mod_cast natShift_pow_exp (n i) ((Fintype.card A)^2)
theorem grouped_dense_bound
{W : Type*} [NormedAddCommGroup W] [InnerProductSpace ℂ W] [FiniteDimensional ℂ W]
(board : Fin N ↪ I × J) (p : A → Bool)
(eR : (Σₗ i, Fin (n i)) ≃o Fin N) (eC : (Σₗ j, Fin (m j)) ≃o Fin N)
(gR gC : Equiv.Perm (Fin N))
(hR : ∀t, groupOf eR gR t=(board t).1) (hC : ∀t, groupOf eC gC t=(board t).2)
(ρ : Representation ℂ (Equiv.Perm (Fin N)) W) [ρ.IsIrreducible]
(wR : ∀i, Equiv.Perm (Fin (n i)) → ℂ) (wC : ∀j, Equiv.Perm (Fin (m j)) → ℂ)
{q : ℕ} (hq : 0<q) (c : ℝ) (hc : 0≤c) (hcq : c≤q)
(ER : I → ℝ) (EC : J → ℝ)
(hchildR : ∀i (a : ActiveType p (n i)),
evenMoment q (groupAverage (Young.partitionHilbertRep a.val) (wR i))≤Real.exp (-c*typeF a.val+ER i))
(hchildC : ∀j (a : ActiveType p (m j)),
evenMoment q (groupAverage (Young.partitionHilbertRep a.val) (wC j))≤Real.exp (-c*typeF a.val+EC j)) :
matrixMoment q (groupedAverage eC gC p wC*isotypicProjection p ρ*groupedAverage eR gR p wR) ≤
Real.exp (-c*Real.log (Module.finrank ℂ W:ℝ)+(∑i, ER i)+(∑j, EC j)+
c*(Fintype.card I*Fintype.card J-(N:ℝ))+
(1+4*c+2*(q:ℝ))*(Fintype.card A:ℝ)^2*(blockLogSize n+blockLogSize m)) := by
let R := fun a : ∀i, ActiveType p (n i) =>
groupedProjection eR gR p (fun i => Young.partitionHilbertRep (a i).val)
let C := fun a : ∀j, ActiveType p (m j) =>
groupedProjection eC gC p (fun j => Young.partitionHilbertRep (a j).val)
let FR := fun a : ∀i, ActiveType p (n i) => ∑i, typeF (a i).val
let FC := fun a : ∀j, ActiveType p (m j) => ∑j, typeF (a j).val
let L := blockLogSize n+blockLogSize m
let D : ℝ := (Fintype.card A:ℝ)^2
let E := (∑i, ER i)+(∑j, EC j)+D*L
have hchild (a : ∀i, ActiveType p (n i)) (b : ∀j, ActiveType p (m j)) :
matrixMoment q (groupedAverage eC gC p wC*C b)*
matrixMoment q (R a*groupedAverage eR gR p wR)≤Real.exp (-c*(FR a+FC b)+E) := by
have hr := grouped_projected_exp_bound eR gR p
(fun i => Young.partitionHilbertRep (a i).val)
(fun i => Young.partitionHilbertRep_unitary (a i).val) wR hq
(fun i => -c*typeF (a i).val+ER i) (fun i => hchildR i (a i))
have ht := grouped_projected_exp_bound eC gC p
(fun j => Young.partitionHilbertRep (b j).val)
(fun j => Young.partitionHilbertRep_unitary (b j).val) wC hq
(fun j => -c*typeF (b j).val+EC j) (fun j => hchildC j (b j))
rw [groupedProjection_commutes_average] at ht
refine (mul_le_mul ht hr (matrixMoment_nonneg _ _) (Real.exp_pos _).le).trans_eq ?_
rw [←Real.exp_add]
congr 1
simp only [FR,FC,E,D,L,blockLogSize,Finset.sum_add_distrib,
←Finset.mul_sum,Nat.cast_pow]
ring
have ho (a : ∀i, ActiveType p (n i)) (b : ∀j, ActiveType p (m j)) :
‖C b*isotypicProjection p ρ*R a‖^2≤Real.exp
(FR a+FC b-Real.log (Module.finrank ℂ W:ℝ)+
(Fintype.card I*Fintype.card J-(N:ℝ))+4*D*L) := by
exact actual_board_overlap_exp board p eR eC gR gC hR hC ρ
(fun i => Young.partitionHilbertRep (a i).val) (fun j => Young.partitionHilbertRep (b j).val)
have hk (a : ∀i, ActiveType p (n i)) (b : ∀j, ActiveType p (m j)) :
‖C b*isotypicProjection p ρ*R a‖≤1 :=
groupedProjection_overlap_contract eR eC gR gC p ρ
(fun i => Young.partitionHilbertRep (a i).val) (fun j => Young.partitionHilbertRep (b j).val)
have hb := matrixMoment_dense_exponential hq (groupedAverage eR gR p wR)
(groupedAverage eC gC p wC) (isotypicProjection p ρ) R C
(fun a => groupedProjection_idempotent eR gR p _) (fun b => groupedProjection_idempotent eC gC p _)
(groupedActive_projection_sum eR gR p) (groupedActive_projection_sum eC gC p)
FR FC c (Real.log (Module.finrank ℂ W:ℝ)) (Fintype.card I*Fintype.card J-(N:ℝ))
E (4*D*L) hc hcq hchild ho hk
have hn : ((Fintype.card (∀i, ActiveType p (n i))*Fintype.card (∀j, ActiveType p (m j)):ℕ):ℝ) ≤
Real.exp (D*L) := by
rw [Nat.cast_mul]
refine (mul_le_mul (blockActive_card_exp (n:=n) p) (blockActive_card_exp (n:=m) p)
(by positivity) (Real.exp_pos _).le).trans_eq ?_
rw [←Real.exp_add]
congr 1
dsimp [D,L]
ring
refine hb.trans ((mul_le_mul_of_nonneg_right (pow_le_pow_left₀ (by positivity) hn (2*q))
(Real.exp_pos _).le).trans_eq ?_)
rw [←Real.exp_nat_mul,←Real.exp_add]
congr 1
dsimp [E,D,L]
push_cast
ring
end BinaryCoordinateSweeps.Signed
end
end OAI
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