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Add lean source and binary files (part 62)
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import OAI.Computability.PerfectCompleteness.Foundations.DualQuotientRowsLemmas
import OAI.Computability.PerfectCompleteness.Foundations.LegalRationalOutputLemmas
import OAI.Computability.PerfectCompleteness.Reduction.FixedCallBudgetLemmas
import OAI.Computability.PerfectCompleteness.Reduction.PreliminaryLevelPair
import OAI.Computability.PerfectCompleteness.Sampling.SamplerCardinalityLemmas
namespace OAI
namespace PerfectCompleteness.PreliminaryOutput
open HierarchicalArrays
open scoped Classical
noncomputable section
variable {v m : Nat} [NeZero m]
def value (clauses : Fin m → SourceClause.NormalizedClause v)
(branch : Nat → Nat) (n t : Nat) (rows repeats : Nat → Nat) (hn : 0 < n)
(hbranch : ∀ k < n, 0 < branch k) (hrows : ∀ k, 0 < rows (k + 1)) : ℝ := by
let F := PreliminarySampler.family clauses branch n t rows repeats
let : Fintype (HierarchicalGame.LeftVertex F) := Fintype.ofFinite _
let : Fintype (HierarchicalGame.RightVertex F) := Fintype.ofFinite _
let : ∀ x, Fintype (HierarchicalGame.LeftLabel F x) := fun _ => Fintype.ofFinite _
let : ∀ y, Fintype (HierarchicalGame.RightLabel F y) := fun _ => Fintype.ofFinite _
exact (PreliminarySampler.game clauses branch n t rows repeats hn hbranch hrows).value
theorem exists_target (clauses : Fin m → SourceClause.NormalizedClause v)
(branch : Nat → Nat) (n t : Nat) (rows repeats : Nat → Nat) (hn : 0 < n)
(hbranch : ∀ k < n, 0 < branch k) (hrows : ∀ k, 0 < rows (k + 1))
(δ : ℚ) (hδ : 0 < δ) :
let F := PreliminarySampler.family clauses branch n t rows repeats
let q := CompletionAlphabet.size (Nat.card (Output branch n rows)) δ
let M := ⌈(3 : ℚ) / δ⌉₊ *
Nat.card (PreliminarySampler.Raw clauses branch n t rows repeats) * (2 * q)
∃ target : Instance q,
2 ≤ q ∧
target.leftVertices = Nat.card (HierarchicalGame.LeftVertex F) ∧
target.rightVertices = Nat.card (HierarchicalGame.RightVertex F) ∧
target.edges.length ≤ M ∧
(Encoding.gameBits target).length ≤
Nat.card (HierarchicalGame.LeftVertex F) + Nat.card (HierarchicalGame.RightVertex F) +
q + M + 4 + M *
(Nat.card (HierarchicalGame.LeftVertex F) +
Nat.card (HierarchicalGame.RightVertex F) + 2 * q * q + 2 * q + 2) ∧
((∃ assignment : Fin v → Bool,
∀ c, (clauses c).clause.eval assignment = true) → PerfectlyComplete target) ∧
(value clauses branch n t rows repeats hn hbranch hrows ≤ (δ : ℝ) / 3 →
target.value ≤ (δ : ℝ)) := by
let F := PreliminarySampler.family clauses branch n t rows repeats
let : Nonempty (PreliminarySampler.Raw clauses branch n t rows repeats) :=
SamplerRationality.raw_nonempty (t := t) clauses rows repeats hn hbranch hrows
let : Fintype (HierarchicalGame.LeftVertex F) := Fintype.ofFinite _
let : Fintype (HierarchicalGame.RightVertex F) := Fintype.ofFinite _
let : ∀ x, Fintype (HierarchicalGame.LeftLabel F x) := fun _ => Fintype.ofFinite _
let : ∀ y, Fintype (HierarchicalGame.RightLabel F y) := fun _ => Fintype.ofFinite _
let μ := PreliminarySampler.law (t := t) clauses rows repeats hn hbranch hrows
let rational := SamplerRationality.preliminaryLaw (t := t)
clauses rows repeats hn hbranch hrows
have h := CanonicalRationalOutput.exists_target (HierarchicalGame.toBlockFamily F)
μ rational.weights rational.positive rational.total rational.cast_weight δ hδ
simpa only [← Nat.card_eq_fintype_card, value, PreliminarySampler.game,
HierarchicalGame.game, F, μ] using h
theorem exists_target_size_bound (clauses : Fin m → SourceClause.NormalizedClause v)
(branch : Nat → Nat) (n t : Nat) (rows repeats : Nat → Nat) (hn : 0 < n)
(hbranch : ∀ k < n, 0 < branch k) (hrows : ∀ k, 0 < rows (k + 1))
(δ : ℚ) (hδ : 0 < δ) :
let q := CompletionAlphabet.size (Nat.card (Output branch n rows)) δ
let R := SamplerCardinality.occurrenceConstant branch n t rows repeats *
m ^ (t * Fintype.card (RecursiveSpaces.Slots branch n))
let M := ⌈(3 : ℚ) / δ⌉₊ * R * (2 * q)
∃ target : Instance q,
2 ≤ q ∧ target.leftVertices ≤ R ∧ target.rightVertices ≤ R ∧
target.edges.length ≤ M ∧
(Encoding.gameBits target).length ≤
2 * R + q + M + 4 + M * (2 * R + 2 * q * q + 2 * q + 2) ∧
((∃ assignment : Fin v → Bool,
∀ c, (clauses c).clause.eval assignment = true) → PerfectlyComplete target) ∧
(value clauses branch n t rows repeats hn hbranch hrows ≤ (δ : ℝ) / 3 →
target.value ≤ (δ : ℝ)) := by
let F := PreliminarySampler.family clauses branch n t rows repeats
let q := CompletionAlphabet.size (Nat.card (Output branch n rows)) δ
let R := SamplerCardinality.occurrenceConstant branch n t rows repeats *
m ^ (t * Fintype.card (RecursiveSpaces.Slots branch n))
let M := ⌈(3 : ℚ) / δ⌉₊ * R * (2 * q)
obtain ⟨target, hq, htL, htR, htE, _htBits, hc, hs⟩ :=
exists_target clauses branch n t rows repeats hn hbranch hrows δ hδ
have hraw : Nat.card (PreliminarySampler.Raw clauses branch n t rows repeats) ≤ R :=
SamplerCardinality.raw_card_le clauses branch n t rows repeats
have hlraw : Nat.card (HierarchicalGame.LeftVertex F) ≤
Nat.card (PreliminarySampler.Raw clauses branch n t rows repeats) := by
apply Nat.card_le_card_of_surjective (HierarchicalGame.leftAt F)
rintro ⟨key, e, rfl⟩
exact ⟨e, rfl⟩
have hrraw : Nat.card (HierarchicalGame.RightVertex F) ≤
Nat.card (PreliminarySampler.Raw clauses branch n t rows repeats) := by
apply Nat.card_le_card_of_surjective (HierarchicalGame.rightAt F)
rintro ⟨key, e, rfl⟩
exact ⟨e, rfl⟩
have hl : target.leftVertices ≤ R := htL.le.trans (hlraw.trans hraw)
have hr : target.rightVertices ≤ R := htR.le.trans (hrraw.trans hraw)
have he : target.edges.length ≤ M :=
htE.trans (Nat.mul_le_mul_right (2 * q)
(Nat.mul_le_mul_left ⌈(3 : ℚ) / δ⌉₊ hraw))
refine ⟨target, hq, hl, hr, he, ?_, hc, hs⟩
apply (Encoding.gameBits_length_le_of_edge_count target M he).trans
have hvertices : target.leftVertices + target.rightVertices ≤ 2 * R := by omega
have hheader := Nat.add_le_add_right
(Nat.add_le_add_right (Nat.add_le_add_right hvertices q) M) 4
have hbody := Nat.add_le_add_right
(Nat.add_le_add_right (Nat.add_le_add_right hvertices (2 * q * q)) (2 * q)) 2
exact Nat.add_le_add hheader (Nat.mul_le_mul_left M hbody)
end
end PerfectCompleteness.PreliminaryOutput
namespace PerfectCompleteness.FixedPreliminaryGame
open FixedParameters FixedRows
noncomputable section
variable {δ : ℚ} {hδ : 0 < δ} (p : Parameters δ hδ)
theorem depth_pos : 0 < p.plan.depth := by have := p.plan.depth_ge; omega
theorem rows_pos (height : Nat) : 0 < rows p.plan height :=
lt_of_lt_of_le Nat.zero_lt_one (p.plan.rows_pos (p.plan.depth - height))
def game (input : List Bool) :=
PreliminarySampler.game (PCPSource.clauseFamily (BinaryLanguage.totalRename input))
(branch p) p.plan.depth (sourceLength p.plan hδ) (rows p.plan) (repeats p.plan)
(depth_pos p) (fun k _ => branch_pos p k) (fun k => rows_pos p (k + 1))
abbrev Strategy (input : List Bool) :=
PreliminaryStrategy.Strategy (PCPSource.clauseFamily (BinaryLanguage.totalRename input))
(branch p) p.plan.depth (sourceLength p.plan hδ) (rows p.plan) (repeats p.plan)
def value (input : List Bool) : ℝ :=
PreliminaryOutput.value (PCPSource.clauseFamily (BinaryLanguage.totalRename input))
(branch p) p.plan.depth (sourceLength p.plan hδ) (rows p.plan) (repeats p.plan)
(depth_pos p) (fun k _ => branch_pos p k) (fun k => rows_pos p (k + 1))
theorem completeness (input : List Bool) (accepted : BinaryLanguage.language input) :
value p input = 1 := by
obtain ⟨assignment, satisfies⟩ :=
(PCPSourceMachine.rawSource_satisfiable_iff input).mpr accepted
let F := PreliminarySampler.family (PCPSource.clauseFamily (BinaryLanguage.totalRename input))
(branch p) p.plan.depth (sourceLength p.plan hδ) (rows p.plan) (repeats p.plan)
let : Fintype (HierarchicalGame.LeftVertex F) := Fintype.ofFinite _
let : Fintype (HierarchicalGame.RightVertex F) := Fintype.ofFinite _
let : ∀ x, Fintype (HierarchicalGame.LeftLabel F x) := fun _ => Fintype.ofFinite _
let : ∀ y, Fintype (HierarchicalGame.RightLabel F y) := fun _ => Fintype.ofFinite _
unfold value PreliminaryOutput.value
apply HierarchicalGame.value_eq_one F _ assignment
intro occurrence
exact satisfies _ (List.getElem_mem occurrence.isLt)
theorem exists_level_pair (input : List Bool) (strategy : Strategy p input)
(hsuccess : InitialParameters.epsilon δ ≤ (game p input).success strategy) :
∃ i j : Fin p.plan.depth, i < j ∧ InitialParameters.simultaneous δ ≤
(CandidateCoupling.sharedLaw
(PCPSource.clauseFamily (BinaryLanguage.totalRename input))
(rows p.plan) (repeats p.plan)
(fun k _ => branch_pos p k) (fun k => rows_pos p (k + 1))).probability
(fun e => PreliminaryLevelPair.win
(PCPSource.clauseFamily (BinaryLanguage.totalRename input)) strategy i e &&
PreliminaryLevelPair.win
(PCPSource.clauseFamily (BinaryLanguage.totalRename input)) strategy j e) :=
PreliminaryLevelPair.exists_pair
(PCPSource.clauseFamily (BinaryLanguage.totalRename input))
(depth_pos p) (fun k _ => branch_pos p k) (fun k => rows_pos p (k + 1))
strategy (InitialParameters.epsilon_pos hδ) p.plan.depth_mass hsuccess
end
end PerfectCompleteness.FixedPreliminaryGame
namespace PerfectCompleteness.FixedPreliminaryValue
open FixedParameters FixedRows FixedPreliminaryGame
noncomputable section
variable {δ : ℚ} {hδ : 0 < δ} (p : Parameters δ hδ)
theorem exists_optimal_strategy (input : List Bool) :
∃ strategy : Strategy p input,
(game p input).success strategy = value p input := by
let F := PreliminarySampler.family (PCPSource.clauseFamily (BinaryLanguage.totalRename input))
(branch p) p.plan.depth (sourceLength p.plan hδ) (rows p.plan) (repeats p.plan)
let : Fintype (HierarchicalGame.LeftVertex F) := Fintype.ofFinite _
let : Fintype (HierarchicalGame.RightVertex F) := Fintype.ofFinite _
let : ∀ x, Fintype (HierarchicalGame.LeftLabel F x) := fun _ => Fintype.ofFinite _
let : ∀ y, Fintype (HierarchicalGame.RightLabel F y) := fun _ => Fintype.ofFinite _
exact (game p input).exists_optimal_strategy
theorem value_lt_of_strategy_lt (input : List Bool) (bound : ℝ)
(hbound : ∀ strategy : Strategy p input, (game p input).success strategy < bound) :
value p input < bound := by
obtain ⟨strategy, hs⟩ := exists_optimal_strategy p input
rw [← hs]
exact hbound strategy
theorem value_le_of_no_large_strategy (input : List Bool) (bound : ℝ)
(hbound : ∀ strategy : Strategy p input, ¬bound ≤ (game p input).success strategy) :
value p input ≤ bound :=
le_of_lt (value_lt_of_strategy_lt p input bound (fun strategy =>
lt_of_not_ge (hbound strategy)))
end
end PerfectCompleteness.FixedPreliminaryValue
namespace PerfectCompleteness.PreliminaryPairReserve
open FixedParameters FixedRows
open scoped BigOperators
noncomputable section
variable {δ : ℚ} {hδ : 0 < δ} (p : Parameters δ hδ)
theorem exists_pair (input : List Bool) (strategy : FixedPreliminaryGame.Strategy p input)
(hsuccess : InitialParameters.epsilon δ ≤
(FixedPreliminaryGame.game p input).success strategy) :
∃ i j : Fin p.plan.depth, i < j ∧
InitialParameters.simultaneous δ + 3 * p.accuracy ≤
(CandidateCoupling.sharedLaw
(PCPSource.clauseFamily (BinaryLanguage.totalRename input))
(rows p.plan) (repeats p.plan)
(fun k _ => branch_pos p k)
(fun k => FixedPreliminaryGame.rows_pos p (k + 1))).probability
(fun e => PreliminaryLevelPair.win
(PCPSource.clauseFamily (BinaryLanguage.totalRename input)) strategy i e &&
PreliminaryLevelPair.win
(PCPSource.clauseFamily (BinaryLanguage.totalRename input)) strategy j e) := by
have hmean : InitialParameters.epsilon δ ≤
𝔼 level : Fin p.plan.depth,
(CandidateCoupling.sharedLaw
(PCPSource.clauseFamily (BinaryLanguage.totalRename input))
(rows p.plan) (repeats p.plan)
(fun k _ => branch_pos p k)
(fun k => FixedPreliminaryGame.rows_pos p (k + 1))).probability
(PreliminaryLevelPair.win
(PCPSource.clauseFamily (BinaryLanguage.totalRename input)) strategy level) := by
rw [← PreliminaryLevelPair.success_eq_mean
(PCPSource.clauseFamily (BinaryLanguage.totalRename input))
(FixedPreliminaryGame.depth_pos p) (fun k _ => branch_pos p k)
(fun k => FixedPreliminaryGame.rows_pos p (k + 1)) strategy]
exact hsuccess
obtain ⟨i, j, hij, hprob⟩ := LevelPairReserve.exists_pair _ _
(InitialParameters.epsilon δ) (InitialParameters.epsilon_pos hδ)
hmean p.plan.depth_mass
refine ⟨i, j, hij, ?_⟩
have hsmall := p.accuracy_small 0 (Nat.zero_le _)
simp only [CommonAccuracy.tolerance, lt_min_iff] at hsmall
have hε := InitialParameters.epsilon_pos hδ
have hreserved : InitialParameters.simultaneous δ + 3 * p.accuracy ≤
2 * InitialParameters.epsilon δ ^ 2 / 3 := by
unfold InitialParameters.simultaneous
nlinarith [hsmall.1, sq_pos_of_pos hε]
exact hreserved.trans hprob
end
end PerfectCompleteness.PreliminaryPairReserve
end OAI