roseking's picture
Add lean source and binary files (part 62)
2f887db verified
Raw History Blame Contribute Delete
9.2 kB
import OAI.Computability.PerfectCompleteness.Sampling.OriginalUniformCutBase
namespace OAI
section
namespace PerfectCompleteness.OriginalUniformCut
open RecursiveSpaces DescendantSpaces TreeSourceSpaces HierarchicalArrays
open OriginalWholeCut OriginalWholeCutTape
open UniqueGamesTheorem.Foundations.Games
open scoped Classical
noncomputable section
attribute [local instance 2000] OriginalUniformCutBase.valuesChildrenFintype
private theorem uniform_equiv {A B : Type*} [Fintype A] [Fintype B]
[Nonempty A] [Nonempty B] (e : A ≃ B) :
(FiniteDistribution.uniform A).pushforward e = FiniteDistribution.uniform B := by
rw [← FiniteDistribution.transport_eq_pushforward]
exact UniformConditioning.uniform_transport e
private theorem uniform_map_product {A B C D : Type*}
[Fintype A] [Fintype B] [Fintype C] [Fintype D]
[Nonempty A] [Nonempty B] [Nonempty C] [Nonempty D]
(f : A → C) (g : B → D)
(hf : (FiniteDistribution.uniform A).pushforward f = FiniteDistribution.uniform C)
(hg : (FiniteDistribution.uniform B).pushforward g = FiniteDistribution.uniform D) :
(FiniteDistribution.uniform (A × B)).pushforward
(fun x => (f x.1, g x.2)) = FiniteDistribution.uniform (C × D) := by
rw [← WholeCutSampler.uniform_product, FiniteDistribution.product_pushforward,
hf, hg, WholeCutSampler.uniform_product]
variable {branch : Nat → Nat} {n m t : Nat}
def recordStepEquiv (rows repeats : Nat → Nat) (i : Fin (branch n))
(p : Path branch n (m + 1))
(slots : Slots branch (n + 1) → Fin t → MixedSupport.Slot) :
Record rows repeats (.step i p) slots ≃
WholeArraySampler.RootTape rows repeats (.step i p) slots ×
(Record rows repeats p (childSlots slots i) ×
((j : RecursiveSampler.OffPath i) → Arrays (childSlots slots j.val) rows)) :=
(OriginalWholeCutTape.regroupStep
(D := BucketSampler.Direction (rows (n + 1)))
(T := TerminalCalls.TerminalIndex repeats (.step i p))
(C := OriginalCutCalls.Index rows repeats p)
(S := H (cutSlots (.step i p) slots))
(E := OriginalTerminalSplit.ExteriorTape F2 repeats (.step i p) (LeafDomain slots))
(L := Exterior rows repeats p (childSlots slots i))
(O := (j : RecursiveSampler.OffPath i) → Arrays (childSlots slots j.val) rows)
(B := BelowArrays rows p (childSlots slots i))).symm.trans
(Equiv.prodCongr
(Equiv.piCongrRight (fun _ : BucketSampler.Direction (rows (n + 1)) =>
(OriginalScalarReconstruction.prefixSplit F2 repeats (.step i p)
(LeafDomain slots)).symm))
(Equiv.refl _))
def toStoppedTape (rows repeats : Nat → Nat) :
{n m : Nat} → (p : Path branch n (m + 1)) →
(slots : Slots branch n → Fin t → MixedSupport.Slot) →
Record rows repeats p slots → WholeArraySampler.Tape rows repeats p slots
| _, _, .refl _, slots, record =>
reconstructRecord rows repeats (.refl _) slots record
| _, _, .step i p, slots, record =>
let split := recordStepEquiv rows repeats i p slots record
WholeCutSampler.stepEquiv i
(WholeArraySampler.RootTape rows repeats (.step i p) slots)
(WholeArraySampler.Tape rows repeats p (childSlots slots i))
(fun j => Arrays (childSlots slots j.val) rows)
(split.1, (toStoppedTape rows repeats p (childSlots slots i) split.2.1,
split.2.2))
theorem evaluate_toStoppedTape (rows repeats : Nat → Nat) :
∀ {n m : Nat} (p : Path branch n (m + 1))
(slots : Slots branch n → Fin t → MixedSupport.Slot)
(record : Record rows repeats p slots),
WholeArraySampler.evaluate rows repeats p slots
(toStoppedTape rows repeats p slots record) =
reconstructRecord rows repeats p slots record := by
intro n
induction n with
| zero => intro m p; cases p
| succ n ih =>
intro m p slots record
cases p with
| refl => rfl
| step i p =>
exact congrArg₂ (WholeArraySampler.assemble slots rows) rfl
(congrArg (fun selected : Arrays (childSlots slots i) rows =>
WholeArraySampler.childrenAt slots rows i selected record.1.2.2)
(ih p (childSlots slots i)
(record.1.2.1, ((fun call => record.2.1 (.inr call)), record.2.2))))
theorem uniform_toStoppedTape (rows repeats : Nat → Nat) :
∀ {n m : Nat} (p : Path branch n (m + 1))
(slots : Slots branch n → Fin t → MixedSupport.Slot),
(FiniteDistribution.uniform (Record rows repeats p slots)).pushforward
(toStoppedTape rows repeats p slots) =
FiniteDistribution.uniform (WholeArraySampler.Tape rows repeats p slots) := by
intro n
induction n with
| zero => intro m p; cases p
| succ n ih =>
intro m p slots
cases p with
| refl =>
exact OriginalUniformCutBase.uniform_reconstructRecord_refl rows repeats slots
| step i p =>
let R := WholeArraySampler.RootTape rows repeats (.step i p) slots
let L := Record rows repeats p (childSlots slots i)
let S := WholeArraySampler.Tape rows repeats p (childSlots slots i)
let O := (j : RecursiveSampler.OffPath i) → Arrays (childSlots slots j.val) rows
let e := recordStepEquiv rows repeats i p slots
let finish := WholeCutSampler.stepEquiv i R S
(fun j => Arrays (childSlots slots j.val) rows)
let : Fintype (WholeArraySampler.StepTape (i := i) R S
(fun j => Arrays (childSlots slots j.val) rows)) :=
WholeArraySampler.tapeFintype rows repeats (.step i p) slots
let : Nonempty (WholeArraySampler.StepTape (i := i) R S
(fun j => Arrays (childSlots slots j.val) rows)) :=
⟨WholeArraySampler.zeroTape rows repeats (.step i p) slots⟩
let middle : R × (L × O) → R × (S × O) :=
fun z => (z.1,
(toStoppedTape rows repeats p (childSlots slots i) z.2.1, z.2.2))
have hinner : (FiniteDistribution.uniform (L × O)).pushforward
(fun z => (toStoppedTape rows repeats p (childSlots slots i) z.1, z.2)) =
FiniteDistribution.uniform (S × O) :=
uniform_map_product (toStoppedTape rows repeats p (childSlots slots i))
(id : O → O) (ih p (childSlots slots i))
(FiniteDistribution.pushforward_id _)
have hmiddle : (FiniteDistribution.uniform (R × (L × O))).pushforward middle =
FiniteDistribution.uniform (R × (S × O)) :=
uniform_map_product (id : R → R)
(fun z : L × O =>
(toStoppedTape rows repeats p (childSlots slots i) z.1, z.2))
(FiniteDistribution.pushforward_id _) hinner
calc
_ = (((FiniteDistribution.uniform (Record rows repeats (.step i p) slots)).pushforward
e).pushforward middle).pushforward finish := by
rw [FiniteDistribution.pushforward_comp, FiniteDistribution.pushforward_comp]
rfl
_ = (FiniteDistribution.uniform (R × (S × O))).pushforward finish := by
rw [uniform_equiv e, hmiddle]
_ = _ := uniform_equiv finish
def referenceLaw (rows repeats : Nat → Nat) (p : Path branch n (m + 1))
(slots : Slots branch n → Fin t → MixedSupport.Slot) :
FiniteDistribution (Record rows repeats p slots) :=
(exteriorLaw rows repeats p slots).product
((FiniteProduct.law (fun _ : OriginalCutCalls.Index rows repeats p =>
FiniteDistribution.uniform (H (cutSlots p slots)))).product
(FiniteProduct.law (fun child : Fin (branch m) =>
FiniteDistribution.uniform (Arrays (childSlots (cutSlots p slots) child) rows))))
theorem referenceLaw_uniform (rows repeats : Nat → Nat) (p : Path branch n (m + 1))
(slots : Slots branch n → Fin t → MixedSupport.Slot) :
referenceLaw rows repeats p slots = FiniteDistribution.uniform (Record rows repeats p slots) := by
unfold referenceLaw exteriorLaw
rw [UniformLinearImage.law_uniform, UniformLinearImage.law_uniform,
WholeCutSampler.uniform_product, WholeCutSampler.uniform_product]
theorem reconstruct_referenceLaw (rows repeats : Nat → Nat) (p : Path branch n (m + 1))
(slots : Slots branch n → Fin t → MixedSupport.Slot) :
(referenceLaw rows repeats p slots).pushforward (reconstructRecord rows repeats p slots) =
WholeArraySampler.law rows repeats p slots := by
rw [referenceLaw_uniform]
calc
_ = ((FiniteDistribution.uniform (Record rows repeats p slots)).pushforward
(toStoppedTape rows repeats p slots)).pushforward
(WholeArraySampler.evaluate rows repeats p slots) := by
rw [FiniteDistribution.pushforward_comp]
congr 1
funext record
exact (evaluate_toStoppedTape rows repeats p slots record).symm
_ = (FiniteDistribution.uniform (WholeArraySampler.Tape rows repeats p slots)).pushforward
(WholeArraySampler.evaluate rows repeats p slots) := by rw [uniform_toStoppedTape]
_ = _ := by rw [← WholeArraySubtreeSplit.tapeLaw_eq_uniform]; rfl
end
end PerfectCompleteness.OriginalUniformCut
end
end OAI