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Add lean source and binary files (part 62)
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import OAI.Computability.PerfectCompleteness.Foundations.GeometricPathLemmas
import OAI.Computability.PerfectCompleteness.Reduction.CompletionAlphabetLemmas
import OAI.Computability.PerfectCompleteness.Sampling.WholeArraySampler
namespace OAI
section
namespace PerfectCompleteness.PreliminarySampler
open RecursiveSpaces HierarchicalArrays
open UniqueGamesTheorem.Foundations.Games
open scoped Classical
noncomputable section
variable {v m n t : Nat} {branch rows repeats : Nat → Nat}
abbrev Questions (branch : Nat → Nat) (n t m : Nat) :=
Slots branch n → Fin t → Fin m
def endpoints (E : Questions branch n t m) :
Slots branch n → Fin t → SourceKeys.Endpoint v m :=
fun leaf coordinate => .clause (E leaf coordinate)
abbrev Base (branch : Nat → Nat) (n t m : Nat) :=
Questions branch n t m × Slots branch n
abbrev ArrayTape (clauses : Fin m → SourceClause.NormalizedClause v)
(rows repeats : Nat → Nat) (b : Base branch n t m) :=
WholeArraySampler.Tape rows repeats (GeometricPath.leafPath b.2)
(sourceSlots clauses (endpoints b.1))
abbrev Choice (rows : Nat → Nat) (leaf : Slots branch n) :=
(level : Fin n) × BucketSampler.Direction
(rows (Nodes.height (GeometricPath.nodeAtLevel leaf level)))
abbrev Raw (clauses : Fin m → SourceClause.NormalizedClause v)
(branch : Nat → Nat) (n t : Nat) (rows repeats : Nat → Nat) :=
(b : Base branch n t m) × (ArrayTape clauses rows repeats b × Choice rows b.2)
theorem directionNonempty (width : Nat) (positive : 0 < width) :
Nonempty (BucketSampler.Direction width) := by
refine ⟨⟨fun _ => 1, ?_⟩⟩
intro hz
have h := congrFun hz ⟨0, positive⟩
change (1 : BucketSampler.F2) = 0 at h
exact one_ne_zero h
def questionsLaw [NeZero m] : FiniteDistribution (Questions branch n t m) :=
FiniteDistribution.uniform _
theorem questionsLaw_eq_product [NeZero m] :
questionsLaw (branch := branch) (n := n) (t := t) (m := m) =
FiniteProduct.law (fun _ : Slots branch n =>
FiniteProduct.law (fun _ : Fin t => FiniteDistribution.uniform (Fin m))) := by
simp only [UniformLinearImage.law_uniform]
rfl
def baseLaw [NeZero m] (hbranch : ∀ k < n, 0 < branch k) :
FiniteDistribution (Base branch n t m) :=
questionsLaw.product (GeometricPath.law n hbranch)
def choiceLaw (leaf : Slots branch n) (hn : 0 < n)
(hrows : ∀ k, 0 < rows (k + 1)) : FiniteDistribution (Choice rows leaf) := by
letI : Nonempty (Fin n) := ⟨⟨0, hn⟩⟩
exact CompletionSoundness.sigmaLaw (FiniteDistribution.uniform (Fin n)) fun level => by
letI : Nonempty (BucketSampler.Direction
(rows (Nodes.height (GeometricPath.nodeAtLevel leaf level)))) :=
directionNonempty _ (by rw [GeometricPath.nodeAtLevel_height]; exact hrows level.val)
exact FiniteDistribution.uniform _
theorem choiceLaw_level (leaf : Slots branch n) (hn : 0 < n)
(hrows : ∀ k, 0 < rows (k + 1)) (event : Fin n → Bool) :
(choiceLaw leaf hn hrows).probability (fun c => event c.1) =
(by
letI : Nonempty (Fin n) := ⟨⟨0, hn⟩⟩
exact (FiniteDistribution.uniform (Fin n)).probability event) := by
exact CompletionSoundness.sigmaLaw_probability_first _ _ event
def conditionalLaw (clauses : Fin m → SourceClause.NormalizedClause v)
(rows repeats : Nat → Nat) (hn : 0 < n)
(hrows : ∀ k, 0 < rows (k + 1)) (b : Base branch n t m) :
FiniteDistribution (ArrayTape clauses rows repeats b × Choice rows b.2) :=
(WholeArraySampler.tapeLaw rows repeats (GeometricPath.leafPath b.2)
(sourceSlots clauses (endpoints b.1))).product (choiceLaw b.2 hn hrows)
def law [NeZero m] (clauses : Fin m → SourceClause.NormalizedClause v)
(rows repeats : Nat → Nat) (hn : 0 < n)
(hbranch : ∀ k < n, 0 < branch k) (hrows : ∀ k, 0 < rows (k + 1)) :
FiniteDistribution (Raw clauses branch n t rows repeats) :=
CompletionSoundness.sigmaLaw (baseLaw hbranch)
(conditionalLaw clauses rows repeats hn hrows)
theorem law_base [NeZero m] (clauses : Fin m → SourceClause.NormalizedClause v)
(rows repeats : Nat → Nat) (hn : 0 < n)
(hbranch : ∀ k < n, 0 < branch k) (hrows : ∀ k, 0 < rows (k + 1))
(event : Base branch n t m → Bool) :
(law clauses rows repeats hn hbranch hrows).probability (fun e => event e.1) =
(baseLaw hbranch).probability event :=
CompletionSoundness.sigmaLaw_probability_first _ _ event
theorem law_probability [NeZero m] (clauses : Fin m → SourceClause.NormalizedClause v)
(rows repeats : Nat → Nat) (hn : 0 < n)
(hbranch : ∀ k < n, 0 < branch k) (hrows : ∀ k, 0 < rows (k + 1))
(event : Raw clauses branch n t rows repeats → Bool) :
(law clauses rows repeats hn hbranch hrows).probability event =
(baseLaw hbranch).expectation (fun b =>
(conditionalLaw clauses rows repeats hn hrows b).probability
(fun tapeAndChoice => event ⟨b, tapeAndChoice⟩)) :=
CompletionSoundness.sigmaLaw_probability _ _ event
def family (clauses : Fin m → SourceClause.NormalizedClause v)
(branch : Nat → Nat) (n t : Nat) (rows repeats : Nat → Nat) :
HierarchicalGame.Family clauses branch n t rows (Raw clauses branch n t rows repeats) where
endpoints e := endpoints e.1.1
arrays e := WholeArraySampler.evaluate rows repeats (GeometricPath.leafPath e.1.2)
(sourceSlots clauses (endpoints e.1.1)) e.2.1
selected e := GeometricPath.nodeAtLevel e.1.2 e.2.2.1
direction e := e.2.2.2.val
nonzero e := e.2.2.2.property
theorem family_selected_height (clauses : Fin m → SourceClause.NormalizedClause v)
(branch : Nat → Nat) (n t : Nat) (rows repeats : Nat → Nat)
(e : Raw clauses branch n t rows repeats) :
Nodes.height ((family clauses branch n t rows repeats).selected e) = e.2.2.1.val + 1 :=
GeometricPath.nodeAtLevel_height _ _
def game [NeZero m] (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)) :=
HierarchicalGame.game (family clauses branch n t rows repeats)
(law clauses rows repeats hn hbranch hrows)
theorem edge_at_most_two (clauses : Fin m → SourceClause.NormalizedClause v)
(branch : Nat → Nat) (n t : Nat) (rows repeats : Nat → Nat)
(e : Raw clauses branch n t rows repeats)
(Q : HierarchicalGame.RightLabel (family clauses branch n t rows repeats)
(HierarchicalGame.rightAt (family clauses branch n t rows repeats) e)) :
Nat.card {P : HierarchicalGame.LeftLabel (family clauses branch n t rows repeats)
(HierarchicalGame.leftAt (family clauses branch n t rows repeats) e) //
HierarchicalGame.edge (family clauses branch n t rows repeats) e P = Q} ≤ 2 :=
HierarchicalGame.edge_at_most_two _ e Q
theorem completeness [NeZero m] (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))
(assignment : Fin v → Bool) (hsat : ∀ c, (clauses c).clause.eval assignment = true) :
(game clauses branch n t rows repeats hn hbranch hrows).success
(HierarchicalGame.satisfyingStrategy (family clauses branch n t rows repeats)
assignment hsat) = 1 :=
HierarchicalGame.success_satisfyingStrategy _ _ assignment hsat
end
end PerfectCompleteness.PreliminarySampler
end
end OAI