openAI-math-dataset / lean /OAI /Computability /PerfectCompleteness /Sampling /FixedStoppedPhysicalLawLemmas.lean
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import OAI.Computability.PerfectCompleteness.Decoding.FixedStoppedDecoderContext
import OAI.Computability.PerfectCompleteness.Foundations.SourcePhysicalSourceSwapLemmas
import OAI.Computability.PerfectCompleteness.Foundations.StoppedPhysicalPrefixSwap
namespace OAI
section
namespace PerfectCompleteness.FixedStoppedPhysicalLaw
noncomputable section
open scoped Classical
open RecursiveSpaces DescendantSpaces TreeSourceSpaces HierarchicalArrays
open UniqueGamesTheorem.Foundations.Games
open UniqueGamesTheorem.Appendix.RankLevelFilter (linearMapFintype)
attribute [local instance] linearMapFintype
attribute [local instance] StoppedProjectedPhysicalAdvice.adviceFintype
StoppedProjectedPhysicalAdvice.physicalAdviceFintype
variable {δ : ℚ} {hδ : 0 < δ} (parameters : FixedParameters.Parameters δ hδ)
(i j : Fin parameters.plan.depth) (hij : i < j) (input : List Bool)
abbrev clauses := PCPSource.clauseFamily (BinaryLanguage.totalRename input)
def designated : Fin (FixedParameters.branch parameters i.val) →
Slots (FixedParameters.branch parameters) i.val :=
fun _ => StoppedCleanGeometry.firstLeaf (FixedParameters.branch_pos parameters) i.val
def flag : Fin (FixedParameters.branch parameters i.val) → FiniteDistribution Bool :=
fun _ => ProjectedCleanRate.projectionFlag (parameters.cubeSize i.val)
(FixedDecoderCleanRate.cubePositive parameters i.val)
abbrev Prefixes := FixedStoppedDecoderContext.Prefixes parameters i j
abbrev Context := FixedStoppedDecoderContext.Context parameters i j hij input
def path (pref : Prefixes parameters i j) :=
(FixedStoppedDecoderContext.upperPath parameters i j pref).append
(FixedStoppedDecoderContext.lowerPath parameters i j hij pref)
abbrev ChildSample (pref : Prefixes parameters i j) :=
SourceChildKernel.Sample
(C := WholeCutCalls.Index (FixedRows.rows parameters.plan) (FixedRows.repeats parameters.plan)
(path parameters i j hij pref))
(t := FixedRows.sourceLength parameters.plan hδ)
(FixedRows.rows parameters.plan) (clauses input) (designated parameters i)
abbrev Sample := (context : Context parameters i j hij input) ×
ChildSample parameters i j hij input context.1
abbrev PhysicalSample := StoppedProjectedPhysicalAdvice.Sample
(t := FixedRows.sourceLength parameters.plan hδ)
(clauses input) (FixedRows.rows parameters.plan) (FixedRows.repeats parameters.plan)
(Nat.succ_le_of_lt j.isLt) hij (designated parameters i) parameters.plan.order
def childLaw (pref : Prefixes parameters i j) :
FiniteDistribution (ChildSample parameters i j hij input pref) :=
SourceChildKernel.originalLaw
(C := WholeCutCalls.Index (FixedRows.rows parameters.plan) (FixedRows.repeats parameters.plan)
(path parameters i j hij pref))
(t := FixedRows.sourceLength parameters.plan hδ)
(FixedRows.rows parameters.plan) (clauses input) (designated parameters i) (flag parameters i)
def law : FiniteDistribution (Sample parameters i j hij input) :=
CompletionSoundness.sigmaLaw (FixedStoppedDecoderContext.law parameters i j hij input)
(fun context => childLaw parameters i j hij input context.1)
def read (sample : Sample parameters i j hij input) :
PhysicalSample parameters i j hij input :=
let context := sample.1
let inside := SourceQuestionRawSwap.insideQuestions (FixedRows.rows parameters.plan)
(clauses input) (designated parameters i) sample.2
let questions := SourceQuestionCutSplit.join (path parameters i j hij context.1)
inside context.2.1
let positions := SourceQuestionRawSwap.positions (FixedRows.rows parameters.plan)
(clauses input) (designated parameters i) sample.2
let exterior := SourcePhysicalSourceSwap.joinedExterior (clauses input)
(FixedRows.rows parameters.plan) (FixedRows.repeats parameters.plan)
(path parameters i j hij context.1) inside context.2.1 context.2.2.2.2
let raw := SourceQuestionRawSwap.raw (FixedRows.rows parameters.plan)
(clauses input) (designated parameters i) sample.2
⟨(questions, context.1.1),
(⟨(context.1.2, (positions, context.2.2.2.1)), (exterior, raw)⟩, context.2.2.1)⟩
abbrev physicalLaw := StoppedProjectedPhysicalAdvice.law
(t := FixedRows.sourceLength parameters.plan hδ)
(clauses input) (FixedRows.rows parameters.plan) (FixedRows.repeats parameters.plan)
(Nat.succ_le_of_lt j.isLt) hij (designated parameters i)
(fun k _ => FixedParameters.branch_pos parameters k)
(fun k => parameters.plan.rows_pos (parameters.plan.depth - (k + 1)))
(flag parameters i) parameters.plan.order
theorem expectation_read (value : PhysicalSample parameters i j hij input → ℝ) :
(physicalLaw parameters i j hij input).expectation value =
(law parameters i j hij input).expectation
(fun sample => value (read parameters i j hij input sample)) := by
refine (StoppedPhysicalPrefixSwap.expectation_prefixes
(t := FixedRows.sourceLength parameters.plan hδ)
(clauses input) (FixedRows.rows parameters.plan) (FixedRows.repeats parameters.plan)
(Nat.succ_le_of_lt j.isLt) hij (designated parameters i)
(fun k _ => FixedParameters.branch_pos parameters k)
(fun k => parameters.plan.rows_pos (parameters.plan.depth - (k + 1)))
(flag parameters i) parameters.plan.order value).trans ?_
simp only [law, FixedStoppedDecoderContext.law, CandidateCoupling.expectation_sigmaLaw,
FixedStoppedDecoderContext.fiberLaw]
apply FiniteDistribution.expectation_congr
intro pref
simp only [FiniteDistribution.expectation_product]
let questionLaw := PreliminarySampler.questionsLaw
(branch := FixedParameters.branch parameters) (n := parameters.plan.depth)
(t := FixedRows.sourceLength parameters.plan hδ)
(m := (PCPSource.normalizedFormula (BinaryLanguage.totalRename input)).clauses.length)
let adviceLaw := FiniteDistribution.uniform (FixedStoppedDecoderContext.Advice parameters i j pref)
let directionsLaw := FixedStoppedDecoderContext.directionLaw parameters
let outsideLaw := FiniteDistribution.uniform
(FixedStoppedDecoderContext.OutsideQuestions parameters i j hij input pref)
let statistic := fun
(questions : PreliminarySampler.Questions (FixedParameters.branch parameters)
parameters.plan.depth (FixedRows.sourceLength parameters.plan hδ)
(PCPSource.normalizedFormula (BinaryLanguage.totalRename input)).clauses.length)
(A : FixedStoppedDecoderContext.Advice parameters i j pref)
(directions : FixedStoppedDecoderContext.Directions parameters) =>
(SourceProjectedTag.positionLaw (branch := FixedParameters.branch parameters)
(n := i.val) (t := FixedRows.sourceLength parameters.plan hδ)).expectation
(fun positions => (StoppedProjectedExperiment.physicalFiberLaw
(clauses input) (FixedRows.rows parameters.plan) (FixedRows.repeats parameters.plan)
(Nat.succ_le_of_lt j.isLt) hij (designated parameters i) (flag parameters i)
(questions, pref.1) (pref.2, (positions, directions))).expectation
(fun raw => value ⟨(questions, pref.1), (⟨(pref.2, (positions, directions)), raw⟩, A)⟩))
let rebuilt := fun (external : FixedStoppedDecoderContext.OutsideQuestions parameters i j hij input pref)
(A : FixedStoppedDecoderContext.Advice parameters i j pref)
(directions : FixedStoppedDecoderContext.Directions parameters) =>
(FiniteDistribution.uniform
(FixedStoppedDecoderContext.Exterior parameters i j hij input pref external)).expectation
(fun exterior => (childLaw parameters i j hij input pref).expectation
(fun sample => value (read parameters i j hij input
⟨⟨pref, external, A, directions, exterior⟩, sample⟩)))
change questionLaw.expectation (fun questions => adviceLaw.expectation (fun A =>
directionsLaw.expectation (fun directions => statistic questions A directions))) =
outsideLaw.expectation (fun external => adviceLaw.expectation (fun A =>
directionsLaw.expectation (fun directions => rebuilt external A directions)))
calc
_ = adviceLaw.expectation (fun A => directionsLaw.expectation (fun directions =>
questionLaw.expectation (fun questions => statistic questions A directions))) := by
rw [FiniteDistribution.expectation_comm]
apply FiniteDistribution.expectation_congr
intro A
exact FiniteDistribution.expectation_comm _ _ _
_ = adviceLaw.expectation (fun A => directionsLaw.expectation (fun directions =>
outsideLaw.expectation (fun external => rebuilt external A directions))) := by
apply FiniteDistribution.expectation_congr
intro A
apply FiniteDistribution.expectation_congr
intro directions
exact SourcePhysicalSourceSwap.expectation_swap (clauses input)
(FixedRows.rows parameters.plan) (FixedRows.repeats parameters.plan)
(path parameters i j hij pref) (designated parameters i) (flag parameters i)
(fun questions positions exterior raw =>
value ⟨(questions, pref.1), (⟨(pref.2, (positions, directions)), (exterior, raw)⟩, A)⟩)
_ = _ := by
calc
_ = adviceLaw.expectation (fun A => outsideLaw.expectation (fun external =>
directionsLaw.expectation (fun directions => rebuilt external A directions))) := by
apply FiniteDistribution.expectation_congr
intro A
exact FiniteDistribution.expectation_comm _ _ _
_ = _ := FiniteDistribution.expectation_comm _ _ _
theorem read_law :
(law parameters i j hij input).pushforward (read parameters i j hij input) =
physicalLaw parameters i j hij input := by
apply SigmaObservation.eq_of_probability_eq
intro event
rw [FiniteDistribution.probability_pushforward,
CandidateCoupling.probability_eq_expectation, CandidateCoupling.probability_eq_expectation]
exact (expectation_read parameters i j hij input (fun sample => if event sample then 1 else 0)).symm
end
end PerfectCompleteness.FixedStoppedPhysicalLaw
end
section
namespace PerfectCompleteness.FixedStoppedNativeLaw
noncomputable section
open scoped Classical
open RecursiveSpaces DescendantSpaces TreeSourceSpaces HierarchicalArrays
open UniqueGamesTheorem.Foundations.Games
attribute [local instance] StoppedProjectedPhysicalAdvice.adviceFintype
StoppedProjectedPhysicalAdvice.physicalAdviceFintype
section PathTransport
variable {branch : Nat → Nat} {root h t v m : Nat}
(rows repeats : Nat → Nat) (clauses : Fin m → SourceClause.NormalizedClause v)
(designated : Fin (branch h) → Slots branch h)
{p q : Path branch root (h + 1)}
def sourceSampleEquiv (hp : p = q) :
SourceChildKernel.Sample (C := WholeCutCalls.Index rows repeats p) (t := t)
rows clauses designated ≃
SourceChildKernel.Sample (C := WholeCutCalls.Index rows repeats q) (t := t)
rows clauses designated :=
Equiv.cast (congrArg (fun path : Path branch root (h + 1) =>
SourceChildKernel.Sample (C := WholeCutCalls.Index rows repeats path) (t := t)
rows clauses designated) hp)
theorem sourceSampleEquiv_law [NeZero m] (hp : p = q)
(flag : Fin (branch h) → FiniteDistribution Bool) :
(SourceChildKernel.originalLaw (C := WholeCutCalls.Index rows repeats p) (t := t)
rows clauses designated flag).pushforward
(sourceSampleEquiv rows repeats clauses designated hp) =
SourceChildKernel.originalLaw (C := WholeCutCalls.Index rows repeats q) (t := t)
rows clauses designated flag := by
cases hp
exact FiniteDistribution.pushforward_id _
end PathTransport
variable {δ : ℚ} {hδ : 0 < δ} (parameters : FixedParameters.Parameters δ hδ)
(i j : Fin parameters.plan.depth) (hij : i < j) (input : List Bool)
local instance contextAdviceFintype
(pref : FixedStoppedDecoderContext.Prefixes parameters i j) :
Fintype (FixedStoppedDecoderContext.Advice parameters i j pref) :=
UniqueGamesTheorem.Appendix.RankLevelFilter.linearMapFintype
abbrev Context := FixedStoppedDecoderContext.Context parameters i j hij input
abbrev setup (context : Context parameters i j hij input) :=
FixedDecoderCleanRate.setup parameters
(FixedStoppedDecoderContext.geometry parameters i j hij input context) input
abbrev Sample := (context : Context parameters i j hij input) ×
CleanDecoderRate.Sample (setup parameters i j hij input context)
theorem path_eq (context : Context parameters i j hij input) :
CleanDecoderRate.path (setup parameters i j hij input context) =
FixedStoppedPhysicalLaw.path parameters i j hij context.1 :=
StoppedCleanGeometry.geometry_path parameters input
(FixedStoppedDecoderContext.upperPath parameters i j context.1)
(FixedStoppedDecoderContext.lowerPath parameters i j hij context.1) hij
context.2.1 context.2.2.2.2
def childRead (context : Context parameters i j hij input) :
CleanDecoderRate.Sample (setup parameters i j hij input context) ≃
FixedStoppedPhysicalLaw.ChildSample parameters i j hij input context.1 :=
sourceSampleEquiv (FixedRows.rows parameters.plan) (FixedRows.repeats parameters.plan)
(FixedStoppedPhysicalLaw.clauses input) (FixedStoppedPhysicalLaw.designated parameters i)
(path_eq parameters i j hij input context)
theorem childRead_law (context : Context parameters i j hij input) :
(CleanDecoderRate.rawLaw (setup parameters i j hij input context)
(parameters.cubeSize i.val) (FixedDecoderCleanRate.cubePositive parameters i.val)).pushforward
(childRead parameters i j hij input context) =
FixedStoppedPhysicalLaw.childLaw parameters i j hij input context.1 :=
sourceSampleEquiv_law (FixedRows.rows parameters.plan) (FixedRows.repeats parameters.plan)
(FixedStoppedPhysicalLaw.clauses input) (FixedStoppedPhysicalLaw.designated parameters i)
(path_eq parameters i j hij input context) (FixedStoppedPhysicalLaw.flag parameters i)
def law : FiniteDistribution (Sample parameters i j hij input) :=
CompletionSoundness.sigmaLaw (FixedStoppedDecoderContext.law parameters i j hij input)
(fun context => CleanDecoderRate.rawLaw (setup parameters i j hij input context)
(parameters.cubeSize i.val) (FixedDecoderCleanRate.cubePositive parameters i.val))
def sourceRead (sample : Sample parameters i j hij input) :
FixedStoppedPhysicalLaw.Sample parameters i j hij input :=
⟨sample.1, childRead parameters i j hij input sample.1 sample.2⟩
theorem sourceRead_law :
(law parameters i j hij input).pushforward (sourceRead parameters i j hij input) =
FixedStoppedPhysicalLaw.law parameters i j hij input := by
have hsplit := SigmaObservation.pushforward_fiber
(X := fun context : Context parameters i j hij input =>
CleanDecoderRate.Sample (setup parameters i j hij input context))
(Y := fun context : Context parameters i j hij input =>
FixedStoppedPhysicalLaw.ChildSample parameters i j hij input context.1)
(FixedStoppedDecoderContext.law parameters i j hij input)
(fun context => CleanDecoderRate.rawLaw (setup parameters i j hij input context)
(parameters.cubeSize i.val) (FixedDecoderCleanRate.cubePositive parameters i.val))
(fun context => childRead parameters i j hij input context)
exact hsplit.trans (congrArg
(fun P : (context : Context parameters i j hij input) →
FiniteDistribution (FixedStoppedPhysicalLaw.ChildSample parameters i j hij input
context.1) =>
CompletionSoundness.sigmaLaw (FixedStoppedDecoderContext.law parameters i j hij input) P)
(funext (fun context => childRead_law parameters i j hij input context)))
def read (sample : Sample parameters i j hij input) :
FixedStoppedPhysicalLaw.PhysicalSample parameters i j hij input :=
FixedStoppedPhysicalLaw.read parameters i j hij input
(sourceRead parameters i j hij input sample)
theorem read_law :
(law parameters i j hij input).pushforward (read parameters i j hij input) =
FixedStoppedPhysicalLaw.physicalLaw parameters i j hij input := by
change (law parameters i j hij input).pushforward
(fun sample => FixedStoppedPhysicalLaw.read parameters i j hij input
(sourceRead parameters i j hij input sample)) = _
rw [← FiniteDistribution.pushforward_comp, sourceRead_law]
exact FixedStoppedPhysicalLaw.read_law parameters i j hij input
theorem expectation_read
(value : FixedStoppedPhysicalLaw.PhysicalSample parameters i j hij input → ℝ) :
(law parameters i j hij input).expectation
(fun sample => value (read parameters i j hij input sample)) =
(FixedStoppedPhysicalLaw.physicalLaw parameters i j hij input).expectation value := by
rw [← read_law parameters i j hij input, FiniteDistribution.expectation_pushforward]
end
end PerfectCompleteness.FixedStoppedNativeLaw
end
end OAI