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import OAI.Computability.PerfectCompleteness.Construction.OriginalChildBlocks
import OAI.Computability.PerfectCompleteness.Construction.SourceQuestionOrderLemmas
import OAI.Computability.PerfectCompleteness.Foundations.GeometricPathLemmas
import OAI.Computability.PerfectCompleteness.Reduction.CompletionSoundness
namespace OAI
section
namespace PerfectCompleteness.OriginalHiddenChild
open RecursiveSpaces DescendantSpaces TreeSourceSpaces HierarchicalArrays
open UniqueGamesTheorem.Foundations.Games
open scoped BigOperators Classical
noncomputable section
private theorem sigmaLaw_pushforward {E Γ : Type*} {F : E → Type*}
[Fintype E] [∀ e, Fintype (F e)] [Fintype Γ]
(μ : FiniteDistribution E) (ν : ∀ e, FiniteDistribution (F e))
(f : ∀ e, F e → Γ) :
(CompletionSoundness.sigmaLaw μ ν).pushforward (fun x => f x.1 x.2) =
μ.mixture (fun e => (ν e).pushforward (f e)) := by
apply FiniteDistribution.eq_of_weight_eq
intro z
simp only [FiniteDistribution.pushforward, CompletionSoundness.sigmaLaw,
FiniteDistribution.mixture, Fintype.sum_sigma, Finset.mul_sum, mul_ite, mul_zero]
private theorem product_mixture {E F Γ : Type*}
[Fintype E] [Fintype F] [Fintype Γ]
(μ : FiniteDistribution E) (ν : FiniteDistribution F)
(R : E × F → FiniteDistribution Γ) :
(μ.product ν).mixture R = μ.mixture (fun e => ν.mixture (fun f => R (e, f))) := by
apply FiniteDistribution.eq_of_weight_eq
intro z
simp only [FiniteDistribution.mixture, FiniteDistribution.product,
Fintype.sum_prod_type, Finset.mul_sum, mul_assoc]
variable {branch : Nat → Nat} {n t : Nat}
abbrev Blocks (calls : Nat) (rows : Nat → Nat)
(slots : Slots branch (n + 1) → Fin t → MixedSupport.Slot) :=
(child : Fin (branch n)) → ChildBlockCardinality.Raw calls rows (childSlots slots child)
abbrev Tape (calls : Nat) (rows repeats : Nat → Nat)
(slots : Slots branch (n + 1) → Fin t → MixedSupport.Slot) :=
Σ leaf : Slots branch (n + 1), OriginalChildBlocks.SourceTape calls rows repeats
leaf.1 (GeometricPath.leafPath leaf.2) slots
def sourceLaw (calls : Nat) (rows repeats : Nat → Nat)
(slots : Slots branch (n + 1) → Fin t → MixedSupport.Slot)
(hbranch : ∀ k < n + 1, 0 < branch k) :
FiniteDistribution (Tape calls rows repeats slots) :=
CompletionSoundness.sigmaLaw (GeometricPath.law (n + 1) hbranch)
(fun leaf => OriginalChildBlocks.sourceLaw calls rows repeats leaf.1
(GeometricPath.leafPath leaf.2) slots)
def rawMap (calls : Nat) (rows repeats : Nat → Nat)
(slots : Slots branch (n + 1) → Fin t → MixedSupport.Slot)
(ω : Tape calls rows repeats slots) : Blocks calls rows slots :=
OriginalChildBlocks.rawMap calls rows repeats ω.1.1
(GeometricPath.leafPath ω.1.2) slots ω.2
def continuationLaw (hbranch : ∀ k < n + 1, 0 < branch k) :
FiniteDistribution (Slots branch n) :=
GeometricPath.law n (fun k hk => hbranch k (Nat.lt_trans hk (Nat.lt_succ_self n)))
def averagedSpecial (calls : Nat) (rows repeats : Nat → Nat)
(slots : Slots branch (n + 1) → Fin t → MixedSupport.Slot)
(hbranch : ∀ k < n + 1, 0 < branch k) (child : Fin (branch n)) :
FiniteDistribution (ChildBlockCardinality.Raw calls rows (childSlots slots child)) :=
(continuationLaw hbranch).mixture (fun leaf =>
OriginalChildBlocks.specialLaw calls rows repeats (GeometricPath.leafPath leaf) slots child)
def blockMixture (calls : Nat) (rows repeats : Nat → Nat)
(slots : Slots branch (n + 1) → Fin t → MixedSupport.Slot)
(hbranch : ∀ k < n + 1, 0 < branch k) : FiniteDistribution (Blocks calls rows slots) := by
letI : Nonempty (Fin (branch n)) := ⟨⟨0, hbranch n (Nat.lt_succ_self n)⟩⟩
exact ChildBlockMixture.mixture (averagedSpecial calls rows repeats slots hbranch)
private theorem special_as_continued (calls : Nat) (rows repeats : Nat → Nat)
(slots : Slots branch (n + 1) → Fin t → MixedSupport.Slot)
(chosen : Fin (branch n)) (leaf : Slots branch n) :
ChildBlockMixture.special
(OriginalChildBlocks.specialLaw calls rows repeats (GeometricPath.leafPath leaf) slots)
chosen =
ChildBlockContinuation.continuedSpecial
(fun child leaf => OriginalChildBlocks.specialLaw calls rows repeats
(GeometricPath.leafPath leaf) slots child) chosen leaf := by
let : Nonempty (Fin (branch n)) := ⟨chosen⟩
apply FiniteDistribution.eq_of_weight_eq
intro x
rw [ChildBlockMixture.special_weight, ChildBlockContinuation.continuedSpecial_weight]
theorem rawMap_law (calls : Nat) (rows repeats : Nat → Nat)
(slots : Slots branch (n + 1) → Fin t → MixedSupport.Slot)
(hbranch : ∀ k < n + 1, 0 < branch k) :
(sourceLaw calls rows repeats slots hbranch).pushforward (rawMap calls rows repeats slots) =
blockMixture calls rows repeats slots hbranch := by
let : Nonempty (Fin (branch n)) := ⟨⟨0, hbranch n (Nat.lt_succ_self n)⟩⟩
refine (sigmaLaw_pushforward
(E := Fin (branch n) × Slots branch n) (Γ := Blocks calls rows slots)
(GeometricPath.law (n + 1) hbranch)
(fun leaf => OriginalChildBlocks.sourceLaw calls rows repeats leaf.1
(GeometricPath.leafPath leaf.2) slots)
(fun leaf tape => OriginalChildBlocks.rawMap calls rows repeats leaf.1
(GeometricPath.leafPath leaf.2) slots tape)).trans ?_
simp_rw [OriginalChildBlocks.rawMap_law]
rw [GeometricPath.law_step]
refine (product_mixture (FiniteDistribution.uniform (Fin (branch n)))
(continuationLaw hbranch)
(fun tag : Fin (branch n) × Slots branch n =>
ChildBlockMixture.special
(OriginalChildBlocks.specialLaw calls rows repeats (GeometricPath.leafPath tag.2) slots)
tag.1)).trans ?_
simp_rw [special_as_continued]
exact ChildBlockContinuation.uniform_average
(fun _ : Fin (branch n) => continuationLaw hbranch)
(fun child leaf => OriginalChildBlocks.specialLaw calls rows repeats
(GeometricPath.leafPath leaf) slots child)
theorem rawMap_eq_mixture [Nonempty (Fin (branch n))]
(calls : Nat) (rows repeats : Nat → Nat)
(slots : Slots branch (n + 1) → Fin t → MixedSupport.Slot)
(hbranch : ∀ k < n + 1, 0 < branch k) :
(sourceLaw calls rows repeats slots hbranch).pushforward (rawMap calls rows repeats slots) =
ChildBlockMixture.mixture (averagedSpecial calls rows repeats slots hbranch) :=
rawMap_law calls rows repeats slots hbranch
def observed (calls : Nat) (rows repeats : Nat → Nat)
(slots : Slots branch (n + 1) → Fin t → MixedSupport.Slot)
(ω : Tape calls rows repeats slots) : CutChildGrouping.Assembled (C := Fin calls) slots rows :=
OriginalChildBlocks.observed calls rows repeats ω.1.1
(GeometricPath.leafPath ω.1.2) slots ω.2
theorem assemble_rawMap (calls : Nat) (rows repeats : Nat → Nat)
(slots : Slots branch (n + 1) → Fin t → MixedSupport.Slot)
(ω : Tape calls rows repeats slots) :
CutChildGrouping.assemble slots rows (rawMap calls rows repeats slots ω) =
observed calls rows repeats slots ω :=
OriginalChildBlocks.assemble_rawMap calls rows repeats ω.1.1
(GeometricPath.leafPath ω.1.2) slots ω.2
theorem observed_law (calls : Nat) (rows repeats : Nat → Nat)
(slots : Slots branch (n + 1) → Fin t → MixedSupport.Slot)
(hbranch : ∀ k < n + 1, 0 < branch k) :
(sourceLaw calls rows repeats slots hbranch).pushforward (observed calls rows repeats slots) =
(blockMixture calls rows repeats slots hbranch).pushforward
(CutChildGrouping.assemble slots rows) := by
rw [← rawMap_law calls rows repeats slots hbranch, FiniteDistribution.pushforward_comp]
congr 1
funext ω
exact (assemble_rawMap calls rows repeats slots ω).symm
theorem raw_observed_variation {Γ : Type*} [Fintype Γ]
(calls : Nat) (rows repeats : Nat → Nat)
(slots : Slots branch (n + 1) → Fin t → MixedSupport.Slot)
(hbranch : ∀ k < n + 1, 0 < branch k) (observe : Blocks calls rows slots → Γ) :
((sourceLaw calls rows repeats slots hbranch).pushforward
(fun ω => observe (rawMap calls rows repeats slots ω))).totalVariation
((ChildBlockMixture.reference (Ω := fun child : Fin (branch n) =>
ChildBlockCardinality.Raw calls rows (childSlots slots child))).pushforward observe) ≤
Real.sqrt ((ChildBlockCardinality.bound branch n t calls rows : ℝ) ^ 2 /
branch n) / 2 := by
let : Nonempty (Fin (branch n)) := ⟨⟨0, hbranch n (Nat.lt_succ_self n)⟩⟩
have hpush : (sourceLaw calls rows repeats slots hbranch).pushforward
(fun ω => observe (rawMap calls rows repeats slots ω)) =
(blockMixture calls rows repeats slots hbranch).pushforward observe := by
rw [← rawMap_law calls rows repeats slots hbranch]
exact (FiniteDistribution.pushforward_comp _ _ _).symm
rw [hpush]
simpa only [blockMixture, Fintype.card_fin] using
(ChildBlockMixture.actual_observed_variation calls rows (fun child => childSlots slots child)
(averagedSpecial calls rows repeats slots hbranch) observe)
theorem observed_variation {Γ : Type*} [Fintype Γ]
(calls : Nat) (rows repeats : Nat → Nat)
(slots : Slots branch (n + 1) → Fin t → MixedSupport.Slot)
(hbranch : ∀ k < n + 1, 0 < branch k)
(observe : CutChildGrouping.Assembled (C := Fin calls) slots rows → Γ) :
((sourceLaw calls rows repeats slots hbranch).pushforward
(fun ω => observe (observed calls rows repeats slots ω))).totalVariation
((FiniteDistribution.uniform (CutChildGrouping.Assembled (C := Fin calls) slots rows)).pushforward
observe) ≤
Real.sqrt ((ChildBlockCardinality.bound branch n t calls rows : ℝ) ^ 2 /
branch n) / 2 := by
have hclean : (ChildBlockMixture.reference (Ω := fun child : Fin (branch n) =>
ChildBlockCardinality.Raw calls rows (childSlots slots child))).pushforward
(fun x => observe (CutChildGrouping.assemble slots rows x)) =
(FiniteDistribution.uniform (CutChildGrouping.Assembled (C := Fin calls) slots rows)).pushforward
observe := by
rw [← FiniteDistribution.pushforward_comp]
have h := CutChildGrouping.assemble_law (C := Fin calls) slots rows
change (ChildBlockMixture.reference (Ω := fun child : Fin (branch n) =>
ChildBlockCardinality.Raw calls rows (childSlots slots child))).pushforward
(CutChildGrouping.assemble slots rows) = _ at h
rw [h]
have h := raw_observed_variation calls rows repeats slots hbranch
(fun x => observe (CutChildGrouping.assemble slots rows x))
simpa only [assemble_rawMap, hclean] using h
end
end PerfectCompleteness.OriginalHiddenChild
end
end OAI