openAI-math-dataset / lean /OAI /Computability /PerfectCompleteness /Decoding /CleanDecoderSeedLawLemmas.lean
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import OAI.Computability.PerfectCompleteness.Decoding.CleanLeftDecoderLemmas
import OAI.Computability.PerfectCompleteness.Decoding.DependentDecoderSampling
import OAI.Computability.PerfectCompleteness.Foundations.HierarchicalFrozenTablesLemmas
namespace OAI
section
namespace PerfectCompleteness.CleanDecoderSeedLaw
noncomputable section
open scoped Classical
open TreeSourceSpaces HierarchicalArrays CleanDecoderContext
open UniqueGamesTheorem.Foundations.Games
abbrev F2 := ZMod 2
variable {branch rows repeats : Nat → Nat} {n h t v m : Nat} [NeZero m]
{upper : Nodes branch n} {d : HierarchicalFrozenTables.LowerNodes upper (h + 1)}
(E : Exposed branch rows repeats n h t v m upper d)
abbrev LeftAnswer (own : LeftOwn E) :=
CleanLeftDecoder.UpperAnswer (leftExposed E) upper own
abbrev RightAnswer (own : RightOwn E) :=
CleanRightDecoder.Answer E.clauses E.designated E.clean E.visible E.projected
upper (lower E) E.cut (lowerHeight upper d) E.outside own
local instance leftOwnFintype : Fintype (LeftOwn E) :=
CleanLeftDecoder.ownFintype (leftExposed E)
local instance rightOwnFintype : Fintype (RightOwn E) :=
inferInstanceAs (Fintype ({i : Fin (branch h) // E.clean i} → Fin t → Fin v))
local instance leftAnswerFintype (own : LeftOwn E) : Fintype (LeftAnswer E own) :=
CleanLeftDecoder.upperAnswerFintype (leftExposed E) upper own
local instance rightAnswerFintype (own : RightOwn E) : Fintype (RightAnswer E own) :=
RightDecoder.scalarFintype (rightSlots E own) upper
abbrev Seed := LeftSeed E × RightSeed E
instance seedFintype : Fintype (Seed E) :=
inferInstanceAs (Fintype
(((own : LeftOwn E) → LeftAnswer E own) ×
((own : RightOwn E) → RightAnswer E own)))
variable (σ : KeyStrategy.Strategy (TreeCanonical.locationCount branch n t))
(useful : CleanLeftDecoder.Useful (leftExposed E) upper (h + 1))
(r : Nat) (ρ : ℝ) (A : ManyGoodRows.RowMap (Block rows upper) r)
(W : Submodule F2 (OwnInputReference.UpperVector rows upper))
(a : OwnInputReference.LowerVector rows (lower E)) (threshold : ℝ)
def leftKernel (own : LeftOwn E) : FiniteDistribution (LeftAnswer E own) :=
CleanLeftDecoder.law (leftExposed E) upper (h + 1) σ useful r ρ A own
def rightKernel (own : RightOwn E) : FiniteDistribution (RightAnswer E own) :=
CleanRightDecoder.kernel E.clauses E.designated E.clean E.visible E.projected
upper (lower E) E.cut (lowerHeight upper d) E.outside
rows repeats E.rightTape W a σ threshold own
def leftSeedLaw : FiniteDistribution (LeftSeed E) :=
CleanLeftDecoder.seedLaw (leftExposed E) upper (h + 1) σ useful r ρ A
def rightSeedLaw : FiniteDistribution (RightSeed E) :=
CleanRightDecoder.seedLaw E.clauses E.designated E.clean E.visible E.projected
upper (lower E) E.cut (lowerHeight upper d) E.outside
rows repeats E.rightTape W a σ threshold
def seedLaw : FiniteDistribution (Seed E) :=
(leftSeedLaw E σ useful r ρ A).product (rightSeedLaw E σ W a threshold)
theorem seedLaw_eq_dependent :
seedLaw E σ useful r ρ A W a threshold =
DependentDecoderSampling.seedLaw
(leftKernel E σ useful r ρ A) (rightKernel E σ W a threshold) := rfl
theorem read_law (left : LeftOwn E) (right : RightOwn E) :
(seedLaw E σ useful r ρ A W a threshold).pushforward
(fun seed => (seed.1 left, seed.2 right)) =
(leftKernel E σ useful r ρ A left).product
(rightKernel E σ W a threshold right) :=
DependentDecoderSampling.read_law
(leftKernel E σ useful r ρ A) (rightKernel E σ W a threshold) left right
theorem probability_read (left : LeftOwn E) (right : RightOwn E)
(event : LeftAnswer E left → RightAnswer E right → Bool) :
(seedLaw E σ useful r ρ A W a threshold).probability
(fun seed => event (seed.1 left) (seed.2 right)) =
((leftKernel E σ useful r ρ A left).product
(rightKernel E σ W a threshold right)).probability
(fun answer => event answer.1 answer.2) := by
have hread := FiniteDistribution.probability_pushforward
(seedLaw E σ useful r ρ A W a threshold)
(fun seed : Seed E => (seed.1 left, seed.2 right))
(fun answer => event answer.1 answer.2)
rw [read_law] at hread
exact hread.symm
theorem supported_left (seed : Seed E)
(hs : (seedLaw E σ useful r ρ A W a threshold).weight seed ≠ 0) :
(leftSeedLaw E σ useful r ρ A).weight seed.1 ≠ 0 := by
intro hz
apply hs
change (leftSeedLaw E σ useful r ρ A).weight seed.1 *
(rightSeedLaw E σ W a threshold).weight seed.2 = 0
rw [hz, zero_mul]
theorem supported_right (seed : Seed E)
(hs : (seedLaw E σ useful r ρ A W a threshold).weight seed ≠ 0) :
(rightSeedLaw E σ W a threshold).weight seed.2 ≠ 0 := by
intro hz
apply hs
change (leftSeedLaw E σ useful r ρ A).weight seed.1 *
(rightSeedLaw E σ W a threshold).weight seed.2 = 0
rw [hz, mul_zero]
theorem supported_left_row (seed : Seed E)
(hs : (seedLaw E σ useful r ρ A W a threshold).weight seed ≠ 0)
(own : LeftOwn E) :
(leftKernel E σ useful r ρ A own).weight (seed.1 own) ≠ 0 :=
CleanLeftDecoder.supported_row (leftExposed E) upper (h + 1) σ useful r ρ A
seed.1 (supported_left E σ useful r ρ A W a threshold seed hs) own
theorem supported_right_row (seed : Seed E)
(hs : (seedLaw E σ useful r ρ A W a threshold).weight seed ≠ 0)
(own : RightOwn E) :
(rightKernel E σ W a threshold own).weight (seed.2 own) ≠ 0 :=
DependentDecoderSampling.supported_right
(leftKernel E σ useful r ρ A) (rightKernel E σ W a threshold) seed hs own
variable (hbranch : ∀ k < n, 0 < branch k)
theorem supported_output_normalized (hρ : 0 < ρ) (seed : Seed E)
(hs : (seedLaw E σ useful r ρ A W a threshold).weight seed ≠ 0)
(own : LeftOwn E) :
leftOutput E hbranch seed.1 own
(HierarchicalLeftDecoder.lowerOne (leftSlots E own) upper (h + 1) hbranch d) = 1 :=
CleanLeftDecoder.supported_output_normalized (leftExposed E) upper (h + 1) σ useful
hbranch r ρ hρ A seed.1
(supported_left E σ useful r ρ A W a threshold seed hs) d own
theorem supported_form_tested_rank (hρ : 0 < ρ) (seed : Seed E)
(hs : (seedLaw E σ useful r ρ A W a threshold).weight seed ≠ 0)
(own : LeftOwn E) :
(LowerAffineSliceRank.testedGram
(FunctionSpaceLowerRank.matrixForm
(CleanLeftDecoder.LowerH (leftExposed E) upper (h + 1) d own)
(leftForm E hbranch seed.1 own))
(HierarchicalLeftDecoder.testedMatrix (leftSlots E own) upper (h + 1)
(CleanLeftDecoder.background (leftExposed E) upper own) d)).rank ≤ 1 :=
CleanLeftDecoder.supported_form_tested_rank (leftExposed E) upper (h + 1) σ useful
hbranch r ρ hρ A seed.1
(supported_left E σ useful r ρ A W a threshold seed hs) d own
end
end PerfectCompleteness.CleanDecoderSeedLaw
end
section
namespace PerfectCompleteness.OriginalDecoderMark
noncomputable section
open scoped Classical
open TreeSourceSpaces HierarchicalArrays
open UniqueGamesTheorem.Foundations.Games
abbrev SlotFamily (branch : Nat → Nat) (n t : Nat) :=
RecursiveSpaces.Slots branch n → Fin t → MixedSupport.Slot
structure Family (branch rows : Nat → Nat) (n t : Nat)
(Sample : SlotFamily branch n t → Type*) [∀ slots, Fintype (Sample slots)] where
original : (slots : SlotFamily branch n t) → FiniteDistribution (Sample slots)
arrays : (slots : SlotFamily branch n t) → Sample slots → Arrays slots rows
lowerEvent : (slots : SlotFamily branch n t) → Sample slots → Bool
variable {branch rows : Nat → Nat} {n t : Nat}
{Sample : SlotFamily branch n t → Type*} [∀ slots, Fintype (Sample slots)]
(F : Family branch rows n t Sample) (upper : Nodes branch n) (lowerLevel : Nat) (κ : ℝ)
def mark (slots : SlotFamily branch n t)
(background : HierarchicalMatrixTable.Background (rows := rows) slots upper)
(X : HierarchicalFrozenTables.QuotientMatrix slots upper lowerLevel background) : Prop :=
HierarchicalUsefulness.mark slots upper lowerLevel
(F.original slots) (F.arrays slots) (F.lowerEvent slots) κ ⟨background, X⟩ = true
theorem mark_heq {slots₁ slots₂ : SlotFamily branch n t} (hs : slots₁ = slots₂)
{background₁ : HierarchicalMatrixTable.Background (rows := rows) slots₁ upper}
{background₂ : HierarchicalMatrixTable.Background (rows := rows) slots₂ upper}
(hb : HEq background₁ background₂) :
HEq (mark F upper lowerLevel κ slots₁ background₁)
(mark F upper lowerLevel κ slots₂ background₂) := by
cases hs
have hb' : background₁ = background₂ := eq_of_heq hb
cases hb'
rfl
theorem mark_congr {slots₁ slots₂ : SlotFamily branch n t} (hs : slots₁ = slots₂)
{background₁ : HierarchicalMatrixTable.Background (rows := rows) slots₁ upper}
{background₂ : HierarchicalMatrixTable.Background (rows := rows) slots₂ upper}
(hb : HEq background₁ background₂)
{X₁ : HierarchicalFrozenTables.QuotientMatrix slots₁ upper lowerLevel background₁}
{X₂ : HierarchicalFrozenTables.QuotientMatrix slots₂ upper lowerLevel background₂}
(hX : HEq X₁ X₂) :
mark F upper lowerLevel κ slots₁ background₁ X₁ ↔
mark F upper lowerLevel κ slots₂ background₂ X₂ := by
cases hs
have hb' : background₁ = background₂ := eq_of_heq hb
cases hb'
have hX' : X₁ = X₂ := eq_of_heq hX
cases hX'
rfl
theorem table_eq_original (slots : SlotFamily branch n t)
(background : HierarchicalMatrixTable.Background (rows := rows) slots upper)
(σ : KeyStrategy.Strategy (TreeCanonical.locationCount branch n t)) :
HierarchicalFrozenTables.table slots upper lowerLevel background σ
(mark F upper lowerLevel κ slots background) =
HierarchicalUsefulness.table slots upper lowerLevel (F.original slots)
(F.arrays slots) (F.lowerEvent slots) κ σ background := rfl
variable {repeats : Nat → Nat} {h v m : Nat} [NeZero m]
def useful (E : CleanLeftDecoder.Exposed branch rows repeats n h t v m) :
CleanLeftDecoder.Useful E upper lowerLevel :=
fun own X => mark F upper lowerLevel κ
(CleanLeftDecoder.slots E own) (CleanLeftDecoder.background E upper own) X
theorem useful_heq
(E₁ E₂ : CleanLeftDecoder.Exposed branch rows repeats n h t v m)
(own₁ : CleanLeftDecoder.Own E₁) (own₂ : CleanLeftDecoder.Own E₂)
(hs : CleanLeftDecoder.slots E₁ own₁ = CleanLeftDecoder.slots E₂ own₂)
(hb : HEq (CleanLeftDecoder.background E₁ upper own₁)
(CleanLeftDecoder.background E₂ upper own₂)) :
HEq (useful F upper lowerLevel κ E₁ own₁) (useful F upper lowerLevel κ E₂ own₂) :=
mark_heq F upper lowerLevel κ hs hb
theorem useful_at_quotientMatrix
(E : CleanLeftDecoder.Exposed branch rows repeats n h t v m)
(own : CleanLeftDecoder.Own E) :
useful F upper lowerLevel κ E own (CleanLeftDecoder.quotientMatrix E upper lowerLevel own) ↔
HierarchicalUsefulness.mark (CleanLeftDecoder.slots E own) upper lowerLevel
(F.original (CleanLeftDecoder.slots E own)) (F.arrays (CleanLeftDecoder.slots E own))
(F.lowerEvent (CleanLeftDecoder.slots E own)) κ
(HierarchicalUsefulness.observe (CleanLeftDecoder.slots E own) upper lowerLevel
(CleanLeftDecoder.arrays E own)) = true := Iff.rfl
theorem law_eq_adviceLaw
(E : CleanLeftDecoder.Exposed branch rows repeats n h t v m)
(σ : KeyStrategy.Strategy (TreeCanonical.locationCount branch n t))
(r : Nat) (ρ : ℝ) (A : ManyGoodRows.RowMap (Block rows upper) r)
(own : CleanLeftDecoder.Own E) :
CleanLeftDecoder.law E upper lowerLevel σ (useful F upper lowerLevel κ E) r ρ A own =
HierarchicalLeftDecoder.adviceLaw (CleanLeftDecoder.slots E own) upper lowerLevel
(CleanLeftDecoder.background E upper own) σ
(mark F upper lowerLevel κ (CleanLeftDecoder.slots E own)
(CleanLeftDecoder.background E upper own)) r ρ A
(A.comp (CleanLeftDecoder.quotientMatrix E upper lowerLevel own)) := rfl
end
end PerfectCompleteness.OriginalDecoderMark
end
end OAI