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Add lean source and binary files (part 62)
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import OAI.Computability.PerfectCompleteness.Decoding.DecoderFamilyLawLemmas
import OAI.Computability.PerfectCompleteness.Decoding.FixedStoppedDecoderContext
import OAI.Computability.PerfectCompleteness.Foundations.SlotProjectedExperiment
import OAI.Computability.PerfectCompleteness.Reduction.FixedPhysicalStoppedComparison
import OAI.Computability.PerfectCompleteness.Reduction.PreliminaryOutputLemmas
namespace OAI
section
namespace PerfectCompleteness.FixedStoppedDecoderLaw
noncomputable section
open scoped Classical
open RecursiveSpaces DescendantSpaces TreeSourceSpaces HierarchicalArrays
open UniqueGamesTheorem.Foundations.Games
open UniqueGamesTheorem.Appendix.RankLevelFilter (linearMapFintype)
private abbrev familySampleFintype
{branch rows repeats : Nat → Nat} {n h t v m : Nat} [NeZero m]
{O : Type*} [Fintype O]
{upper : O → Nodes branch n}
{lower : (o : O) → HierarchicalFrozenTables.LowerNodes (upper o) (h + 1)}
(S : (o : O) → CleanDecoderRate.Setup branch rows repeats n h t v m (upper o) (lower o)) :
Fintype (DecoderFamilyLaw.Sample S) := inferInstance
attribute [local instance] linearMapFintype
variable {δ : ℚ} {hδ : 0 < δ} (parameters : FixedParameters.Parameters δ hδ)
(i j : Fin parameters.plan.depth) (hij : i < j) (input : List Bool)
abbrev Context := FixedStoppedDecoderContext.Context parameters i j hij input
def labeling (strategy : FixedPreliminaryGame.Strategy parameters input) :
KeyStrategy.Strategy (TreeCanonical.locationCount (FixedParameters.branch parameters)
parameters.plan.depth (FixedRows.sourceLength parameters.plan hδ)) :=
PreliminaryStrategy.extend (PCPSource.clauseFamily (BinaryLanguage.totalRename input))
(FixedParameters.branch parameters) parameters.plan.depth
(FixedRows.sourceLength parameters.plan hδ) (FixedRows.rows parameters.plan)
(FixedRows.repeats parameters.plan) strategy
def flag : Fin (FixedParameters.branch parameters i.val) → FiniteDistribution Bool :=
fun _ => ProjectionPosterior.bernoulli
(FixedParameters.projectionProbability parameters i.val : ℝ)
(FixedPhysicalStoppedComparison.beta_nonneg parameters)
(FixedPhysicalStoppedComparison.beta_le_one parameters)
def markFamily (strategy : FixedPreliminaryGame.Strategy parameters input)
(pref : FixedStoppedDecoderContext.Prefixes parameters i j) :=
SlotProjectedExperiment.family
(FixedRows.rows parameters.plan) (FixedRows.repeats parameters.plan)
(Nat.succ_le_of_lt j.isLt) hij pref.1
(fun k _ => FixedParameters.branch_pos parameters k)
(fun k => FixedPreliminaryGame.rows_pos parameters (k + 1))
(flag parameters i) (labeling parameters input strategy)
abbrev setups :=
FixedDecoderFamilyRate.setups parameters
(FixedStoppedDecoderContext.geometry parameters i j hij input) input
def useful (strategy : FixedPreliminaryGame.Strategy parameters input)
(context : Context parameters i j hij input)
(record : CleanDecoderRate.Record (setups parameters i j hij input context)) :
CleanLeftDecoder.Useful
(CleanDecoderContext.leftExposed
(CleanDecoderRate.context (setups parameters i j hij input context) record))
(FixedStoppedDecoderContext.upperNode parameters i j hij input context) (i.val + 1) :=
OriginalDecoderMark.useful
(markFamily parameters i j hij input strategy context.1)
(FixedStoppedDecoderContext.upperNode parameters i j hij input context) (i.val + 1)
(InitialParameters.useful δ)
(CleanDecoderContext.leftExposed
(CleanDecoderRate.context (setups parameters i j hij input context) record))
def threshold : ℝ :=
UpperParameterScalars.tau (InitialParameters.useful δ) parameters.plan.density
parameters.plan.order (FixedRows.rows parameters.plan (j.val + 1))
abbrev Sample := DecoderFamilyLaw.Sample (setups parameters i j hij input)
local instance sampleFintype : Fintype (Sample parameters i j hij input) :=
familySampleFintype (setups parameters i j hij input)
def law (strategy : FixedPreliminaryGame.Strategy parameters input) :
FiniteDistribution (Sample parameters i j hij input) :=
DecoderFamilyLaw.law (setups parameters i j hij input)
(labeling parameters input strategy) (useful parameters i j hij input strategy)
parameters.plan.order parameters.plan.density
(FixedStoppedDecoderContext.advice parameters i j hij input) (FixedStoppedDecoderContext.direction parameters i j hij input)
(threshold parameters j) (FixedStoppedDecoderContext.law parameters i j hij input)
(parameters.cubeSize i.val) (FixedDecoderCleanRate.cubePositive parameters i.val)
abbrev meeting : Sample parameters i j hij input → Bool :=
DecoderFamilyLaw.meeting (setups parameters i j hij input)
abbrev lowAgreement : Sample parameters i j hij input → Bool :=
DecoderFamilyLaw.lowAgreement (setups parameters i j hij input)
(FixedDecoderCleanRate.branchPositive parameters)
(FixedRows.cutoff parameters.plan hδ)
abbrev highAgreement : Sample parameters i j hij input → Bool :=
DecoderFamilyLaw.highAgreement (setups parameters i j hij input)
(FixedDecoderCleanRate.branchPositive parameters)
(FixedRows.cutoff parameters.plan hδ)
theorem probability_split (strategy : FixedPreliminaryGame.Strategy parameters input) :
(law parameters i j hij input strategy).probability (meeting parameters i j hij input) =
(law parameters i j hij input strategy).probability
(lowAgreement parameters i j hij input) +
(law parameters i j hij input strategy).probability
(highAgreement parameters i j hij input) :=
DecoderFamilyLaw.probability_split (setups parameters i j hij input)
(FixedDecoderCleanRate.branchPositive parameters)
(labeling parameters input strategy) (useful parameters i j hij input strategy)
parameters.plan.order parameters.plan.density
(FixedStoppedDecoderContext.advice parameters i j hij input) (FixedStoppedDecoderContext.direction parameters i j hij input)
(threshold parameters j) (FixedStoppedDecoderContext.law parameters i j hij input)
(FixedRows.cutoff parameters.plan hδ) (parameters.cubeSize i.val)
(FixedDecoderCleanRate.cubePositive parameters i.val)
theorem low_probability_lt_accuracy
(strategy : FixedPreliminaryGame.Strategy parameters input)
(unsat : ¬ BinaryLanguage.language input) :
(law parameters i j hij input strategy).probability
(lowAgreement parameters i j hij input) < parameters.accuracy :=
FixedDecoderFamilyRate.probability_lt_accuracy parameters
(FixedStoppedDecoderContext.geometry parameters i j hij input) input
(labeling parameters input strategy) (useful parameters i j hij input strategy)
parameters.plan.order parameters.plan.density
(FixedStoppedDecoderContext.advice parameters i j hij input) (FixedStoppedDecoderContext.direction parameters i j hij input)
(threshold parameters j) (FixedStoppedDecoderContext.law parameters i j hij input)
unsat (le_refl _) parameters.plan.density_pos
end
end PerfectCompleteness.FixedStoppedDecoderLaw
end
end OAI