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Add lean source and binary files (part 62)
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import OAI.Computability.PerfectCompleteness.Machines.ScalarTapeCardinality
import OAI.Computability.PerfectCompleteness.Sampling.PreliminarySampler
import OAI.Computability.PerfectCompleteness.Sampling.RationalFiniteLawLemmas
namespace OAI
namespace PerfectCompleteness.SamplerCardinality
open TreeSourceSpaces TreeCardinality ScalarTapeCardinality
open RecursiveSpaces DescendantSpaces HierarchicalArrays
open scoped BigOperators Classical
noncomputable section
variable {branch : Nat → Nat} {n m t : Nat}
theorem stepTape_card {i : Fin (branch n)} (Root Selected : Type)
(Ordinary : RecursiveSampler.OffPath i → Type)
[Fintype Root] [Fintype Selected] [∀ j, Fintype (Ordinary j)] :
Nat.card (WholeArraySampler.StepTape Root Selected Ordinary) =
Nat.card Root * (Nat.card Selected * ∏ j, Nat.card (Ordinary j)) := by
rw [Nat.card_pi]
simp [WholeArraySampler.StepIndex, WholeArraySampler.StepFactor, Fintype.prod_sum_type]
def wholeTapeBound (rows repeats : Nat → Nat) (t : Nat) :
{n m : Nat} → Path branch n m → Nat
| n, _, .refl _ => arraysBound branch n t rows
| n + 1, _, .step i p =>
bucketBound rows repeats (.step i p) t *
(wholeTapeBound rows repeats t p *
arraysBound branch n t rows ^ Nat.card (RecursiveSampler.OffPath i))
theorem wholeTape_card_le (rows repeats : Nat → Nat) (p : Path branch n m) :
∀ (slots : Slots branch n → Fin t → MixedSupport.Slot),
Nat.card (WholeArraySampler.Tape rows repeats p slots) ≤
wholeTapeBound rows repeats t p := by
induction p with
| refl n =>
intro slots
exact arrays_card_le slots rows
| @step n m i p ih =>
intro slots
change Nat.card (WholeArraySampler.StepTape
(WholeArraySampler.RootTape rows repeats (.step i p) slots)
(WholeArraySampler.Tape rows repeats p (childSlots slots i))
(fun j : RecursiveSampler.OffPath i => Arrays (childSlots slots j.val) rows)) ≤ _
rw [stepTape_card]
apply Nat.mul_le_mul (bucket_card_le rows repeats (.step i p) slots)
apply Nat.mul_le_mul (ih (childSlots slots i))
calc
_ ≤ ∏ _j : RecursiveSampler.OffPath i, arraysBound branch n t rows :=
Finset.prod_le_prod (fun j _ => arrays_card_le (childSlots slots j.val) rows)
_ = arraysBound branch n t rows ^ Nat.card (RecursiveSampler.OffPath i) := by
simp [Nat.card_eq_fintype_card]
def treeTapeBound (branch : Nat → Nat) (n t : Nat) (rows repeats : Nat → Nat) : Nat :=
∑ leaf : Slots branch n, wholeTapeBound rows repeats t (GeometricPath.leafPath leaf)
theorem leafTape_card_le (rows repeats : Nat → Nat) (leaf : Slots branch n)
(slots : Slots branch n → Fin t → MixedSupport.Slot) :
Nat.card (WholeArraySampler.Tape rows repeats (GeometricPath.leafPath leaf) slots) ≤
treeTapeBound branch n t rows repeats := by
apply (wholeTape_card_le rows repeats (GeometricPath.leafPath leaf) slots).trans
change wholeTapeBound rows repeats t (GeometricPath.leafPath leaf) ≤
∑ other : Slots branch n, wholeTapeBound rows repeats t (GeometricPath.leafPath other)
exact Finset.single_le_sum
(fun other _ => Nat.zero_le (wholeTapeBound rows repeats t (GeometricPath.leafPath other)))
(Finset.mem_univ leaf)
def testBound (n : Nat) (rows : Nat → Nat) : Nat :=
∑ level : Fin n, Nat.card (BucketSampler.Direction (rows (level.val + 1)))
theorem choice_card (rows : Nat → Nat) (leaf : Slots branch n) :
Nat.card (PreliminarySampler.Choice rows leaf) = testBound n rows := by
rw [Nat.card_sigma]
simp only [GeometricPath.nodeAtLevel_height, testBound]
def occurrenceConstant (branch : Nat → Nat) (n t : Nat) (rows repeats : Nat → Nat) : Nat :=
Fintype.card (Slots branch n) * treeTapeBound branch n t rows repeats * testBound n rows
theorem raw_card_le {v clausesCount : Nat}
(clauses : Fin clausesCount → SourceClause.NormalizedClause v)
(branch : Nat → Nat) (n t : Nat) (rows repeats : Nat → Nat) :
Nat.card (PreliminarySampler.Raw clauses branch n t rows repeats) ≤
occurrenceConstant branch n t rows repeats *
clausesCount ^ (t * Fintype.card (Slots branch n)) := by
rw [Nat.card_sigma]
calc
_ ≤ ∑ _b : PreliminarySampler.Base branch n t clausesCount,
treeTapeBound branch n t rows repeats * testBound n rows := by
apply Finset.sum_le_sum
intro b _
rw [Nat.card_prod, choice_card]
exact Nat.mul_le_mul_right _ (leafTape_card_le rows repeats b.2
(sourceSlots clauses (PreliminarySampler.endpoints b.1)))
_ = Nat.card (PreliminarySampler.Base branch n t clausesCount) *
(treeTapeBound branch n t rows repeats * testBound n rows) := by
simp [Nat.card_eq_fintype_card]
_ = occurrenceConstant branch n t rows repeats *
clausesCount ^ (t * Fintype.card (Slots branch n)) := by
rw [source_base_card]
simp only [occurrenceConstant]
ac_rfl
end
end PerfectCompleteness.SamplerCardinality
namespace PerfectCompleteness.SamplerRationality
open RecursiveSpaces DescendantSpaces TreeSourceSpaces HierarchicalArrays
open UniqueGamesTheorem.Foundations.Games
open RationalFiniteLaw
open scoped BigOperators Classical
noncomputable section
universe u w
variable {branch : Nat → Nat} {n m t : Nat}
def recursiveTapeLaw (𝕜 : Type w) [Field 𝕜] [Finite 𝕜]
(repeats : Nat → Nat) (p : Path branch n m) (A : Slots branch n → Type u)
[∀ s, Finite (A s)] : RationalLaw (RecursiveSampler.tapeLaw 𝕜 repeats p A) := by
rw [RecursiveSampler.tapeLaw_eq_uniform]
exact RationalFiniteLaw.uniform (RecursiveSampler.Tape 𝕜 repeats p A)
def bucketTapeLaw (ℓ : Nat) (repeats : Nat → Nat) (p : Path branch n m)
(A : Slots branch n → Type u) [∀ s, Finite (A s)] :
RationalLaw (BucketSampler.recursiveTapeLaw ℓ repeats p A) :=
RationalFiniteLaw.pi
(fun _ : BucketSampler.Direction ℓ => RecursiveSampler.tapeLaw F2 repeats p A)
(fun _ => recursiveTapeLaw F2 repeats p A)
def wholeArrayTapeLaw (rows repeats : Nat → Nat) (p : Path branch n m) :
∀ (slots : Slots branch n → Fin t → MixedSupport.Slot),
RationalLaw (WholeArraySampler.tapeLaw rows repeats p slots) := by
induction p with
| refl n =>
intro slots
exact RationalFiniteLaw.uniform (Arrays slots rows)
| @step n m i p ih =>
intro slots
letI : (k : WholeArraySampler.StepIndex i) → Fintype
(WholeArraySampler.StepFactor
(WholeArraySampler.RootTape rows repeats (.step i p) slots)
(WholeArraySampler.Tape rows repeats p (childSlots slots i))
(fun j => Arrays (childSlots slots j.val) rows) k) :=
fun k => WholeArraySampler.stepFactorFintype _ _ _ k
change RationalLaw (FiniteProduct.law (WholeArraySampler.componentLaw rows repeats i p slots))
refine RationalFiniteLaw.pi (WholeArraySampler.componentLaw rows repeats i p slots) ?_
intro k
rcases k with u | (u | j)
· exact bucketTapeLaw (rows (n + 1)) repeats (.step i p) (LeafDomain slots)
· exact ih (childSlots slots i)
· exact RationalFiniteLaw.uniform (Arrays (childSlots slots j.val) rows)
variable {v : Nat} {rows repeats : Nat → Nat}
def questionsLaw [NeZero m] :
RationalLaw (PreliminarySampler.questionsLaw
(branch := branch) (n := n) (t := t) (m := m)) :=
RationalFiniteLaw.uniform (PreliminarySampler.Questions branch n t m)
def pathLaw (hbranch : ∀ k < n, 0 < branch k) :
RationalLaw (GeometricPath.law n hbranch) := by
letI := GeometricPath.slots_nonempty n hbranch
exact RationalFiniteLaw.uniform (Slots branch n)
def baseLaw [NeZero m] (hbranch : ∀ k < n, 0 < branch k) :
RationalLaw (PreliminarySampler.baseLaw (t := t) (m := m) hbranch) :=
RationalFiniteLaw.product questionsLaw (pathLaw hbranch)
def choiceLaw (leaf : Slots branch n) (hn : 0 < n)
(hrows : ∀ k, 0 < rows (k + 1)) :
RationalLaw (PreliminarySampler.choiceLaw leaf hn hrows) := by
letI : Nonempty (Fin n) := ⟨⟨0, hn⟩⟩
apply RationalFiniteLaw.sigma (RationalFiniteLaw.uniform (Fin n))
intro level
letI : Nonempty (BucketSampler.Direction
(rows (Nodes.height (GeometricPath.nodeAtLevel leaf level)))) :=
PreliminarySampler.directionNonempty _ (by
rw [GeometricPath.nodeAtLevel_height]
exact hrows level.val)
exact RationalFiniteLaw.uniform _
def conditionalLaw (clauses : Fin m → SourceClause.NormalizedClause v)
(rows repeats : Nat → Nat) (hn : 0 < n)
(hrows : ∀ k, 0 < rows (k + 1)) (b : PreliminarySampler.Base branch n t m) :
RationalLaw (PreliminarySampler.conditionalLaw clauses rows repeats hn hrows b) :=
RationalFiniteLaw.product
(wholeArrayTapeLaw rows repeats (GeometricPath.leafPath b.2)
(sourceSlots clauses (PreliminarySampler.endpoints b.1)))
(choiceLaw b.2 hn hrows)
def preliminaryLaw [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)) :
RationalLaw (PreliminarySampler.law (t := t) clauses rows repeats hn hbranch hrows) :=
RationalFiniteLaw.sigma (baseLaw hbranch)
(conditionalLaw clauses rows repeats hn hrows)
theorem preliminary_positive [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))
(e : PreliminarySampler.Raw clauses branch n t rows repeats) :
0 < (PreliminarySampler.law clauses rows repeats hn hbranch hrows).weight e :=
RationalFiniteLaw.real_positive
(preliminaryLaw clauses rows repeats hn hbranch hrows) e
theorem raw_nonempty [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)) :
Nonempty (PreliminarySampler.Raw clauses branch n t rows repeats) := by
let μ := PreliminarySampler.law (t := t) clauses rows repeats hn hbranch hrows
by_contra h
have hz : (∑ e, μ.weight e) = 0 :=
Finset.sum_eq_zero (fun e _ => (h ⟨e⟩).elim)
exact zero_ne_one (hz.symm.trans μ.normalized)
end
end PerfectCompleteness.SamplerRationality
end OAI