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Add lean source and binary files (part 62)
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import OAI.Computability.PerfectCompleteness.Foundations.PrefixTests
import OAI.Computability.PerfectCompleteness.Reduction.PreliminaryLevelPair
import OAI.Computability.PerfectCompleteness.Sampling.CutSamplerReplayTransportLemmas
import OAI.Computability.PerfectCompleteness.Sampling.RationalFiniteLawLemmas
namespace OAI
section
namespace PerfectCompleteness.CanonicalDirections
open RecursiveSpaces HierarchicalArrays PreliminarySampler
open UniqueGamesTheorem.Foundations.Games
open scoped Classical
noncomputable section
variable {branch : Nat → Nat} {n : Nat}
abbrev Tuple (rows : Nat → Nat) (n : Nat) :=
(level : Fin n) → PrefixTests.LevelDirection rows level
def directionEquiv (rows : Nat → Nat) (leaf : Slots branch n) (level : Fin n) :
PrefixTests.LevelDirection rows level ≃
BucketSampler.Direction (rows (Nodes.height (GeometricPath.nodeAtLevel leaf level))) :=
(Equiv.cast (congrArg (fun height => BucketSampler.Direction (rows height))
(GeometricPath.nodeAtLevel_height leaf level))).symm
def tupleEquiv (rows : Nat → Nat) (leaf : Slots branch n) :
Tuple rows n ≃ CandidateCoupling.DirectionTuple rows leaf :=
Equiv.piCongrRight (directionEquiv rows leaf)
@[simp] theorem tupleEquiv_apply (rows : Nat → Nat) (leaf : Slots branch n)
(directions : Tuple rows n) (level : Fin n) :
tupleEquiv rows leaf directions level = directionEquiv rows leaf level (directions level) := rfl
@[simp] theorem tupleEquiv_symm_apply (rows : Nat → Nat) (leaf : Slots branch n)
(directions : CandidateCoupling.DirectionTuple rows leaf) (level : Fin n) :
(tupleEquiv rows leaf).symm directions level =
(directionEquiv rows leaf level).symm (directions level) := rfl
def levelLaw (rows : Nat → Nat) (hrows : ∀ k, 0 < rows (k + 1)) (level : Fin n) :
FiniteDistribution (PrefixTests.LevelDirection rows level) := by
letI := directionNonempty (rows (level.val + 1)) (hrows level.val)
exact FiniteDistribution.uniform _
def law (rows : Nat → Nat) (n : Nat) (hrows : ∀ k, 0 < rows (k + 1)) :
FiniteDistribution (Tuple rows n) :=
FiniteProduct.law (levelLaw rows hrows)
theorem directionLaw_toCanonical (rows : Nat → Nat) (leaf : Slots branch n)
(level : Fin n) (hrows : ∀ k, 0 < rows (k + 1)) :
(PreliminaryAveraging.directionLaw leaf level hrows).pushforward
(directionEquiv rows leaf level).symm = levelLaw rows hrows level := by
let : Nonempty (PrefixTests.LevelDirection rows level) :=
directionNonempty (rows (level.val + 1)) (hrows level.val)
let : Nonempty (BucketSampler.Direction
(rows (Nodes.height (GeometricPath.nodeAtLevel leaf level)))) :=
directionNonempty _ (by rw [GeometricPath.nodeAtLevel_height]; exact hrows level.val)
change (FiniteDistribution.uniform
(BucketSampler.Direction (rows (Nodes.height (GeometricPath.nodeAtLevel leaf level))))).pushforward
(directionEquiv rows leaf level).symm =
FiniteDistribution.uniform (PrefixTests.LevelDirection rows level)
rw [← FiniteDistribution.transport_eq_pushforward]
exact UniformConditioning.uniform_transport (directionEquiv rows leaf level).symm
theorem directionsLaw_toCanonical (rows : Nat → Nat) (leaf : Slots branch n)
(hrows : ∀ k, 0 < rows (k + 1)) :
(CandidateCoupling.directionsLaw leaf hrows).pushforward (tupleEquiv rows leaf).symm =
law rows n hrows := by
change (FiniteProduct.law (fun level => PreliminaryAveraging.directionLaw leaf level hrows)).pushforward
(fun directions level => (directionEquiv rows leaf level).symm (directions level)) = _
rw [FiniteProduct.pushforward_map]
apply congrArg (fun laws : (level : Fin n) →
FiniteDistribution (PrefixTests.LevelDirection rows level) => FiniteProduct.law laws)
funext level
exact directionLaw_toCanonical rows leaf level hrows
theorem canonicalLaw_toDirections (rows : Nat → Nat) (leaf : Slots branch n)
(hrows : ∀ k, 0 < rows (k + 1)) :
(law rows n hrows).pushforward (tupleEquiv rows leaf) =
CandidateCoupling.directionsLaw leaf hrows := by
have h := congrArg
(fun μ : FiniteDistribution (Tuple rows n) => μ.pushforward (tupleEquiv rows leaf))
(directionsLaw_toCanonical rows leaf hrows)
rw [FiniteDistribution.pushforward_comp] at h
have hid : (fun directions : CandidateCoupling.DirectionTuple rows leaf =>
tupleEquiv rows leaf ((tupleEquiv rows leaf).symm directions)) = id := by
funext directions
exact (tupleEquiv rows leaf).apply_symm_apply directions
rw [hid, FiniteDistribution.pushforward_id] at h
exact h.symm
@[simp] theorem choiceAt_toCanonical (rows : Nat → Nat) (leaf : Slots branch n)
(directions : CandidateCoupling.DirectionTuple rows leaf) (level : Fin n) :
PrefixTests.choiceAt rows leaf level ((tupleEquiv rows leaf).symm directions level) =
(⟨level, directions level⟩ : Choice rows leaf) := by
change (⟨level, directionEquiv rows leaf level
((directionEquiv rows leaf level).symm (directions level))⟩ : Choice rows leaf) = _
rw [Equiv.apply_symm_apply]
variable {v m t : Nat} {rows repeats : Nat → Nat}
theorem win_eq_observe_canonical (clauses : Fin m → SourceClause.NormalizedClause v)
(strategy : PreliminaryStrategy.Strategy clauses branch n t rows repeats)
(b : Base branch n t m)
(arrays : Arrays (HierarchicalArrays.sourceSlots clauses (endpoints b.1)) rows)
(directions : Tuple rows n) (level : Fin n) :
PreliminaryLevelPair.win clauses strategy level
⟨b, arrays, tupleEquiv rows b.2 directions⟩ =
PreliminaryStrategy.observe clauses
(PreliminaryStrategy.extend clauses branch n t rows repeats strategy) b arrays
(PrefixTests.choiceAt rows b.2 level (directions level)) := rfl
theorem win_eq_observe (clauses : Fin m → SourceClause.NormalizedClause v)
(strategy : PreliminaryStrategy.Strategy clauses branch n t rows repeats)
(level : Fin n) (e : CandidateCoupling.Shared clauses branch n t rows) :
PreliminaryLevelPair.win clauses strategy level e =
PreliminaryStrategy.observe clauses
(PreliminaryStrategy.extend clauses branch n t rows repeats strategy) e.1 e.2.1
(PrefixTests.choiceAt rows e.1.2 level
((tupleEquiv rows e.1.2).symm e.2.2 level)) := by
rw [choiceAt_toCanonical]
rfl
end
end PerfectCompleteness.CanonicalDirections
end
end OAI