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Add lean source and binary files (part 64)
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import OAI.Computability.UniqueGames.Reduction.ExplicitLemmas
import OAI.Computability.UniqueGames.Reduction.OutputTranslationsLemmas
namespace OAI
section
namespace UniqueGamesTheorem.Reduction.FixedOutcomes
open Integration.BinaryLinear ActualHomogeneous ActualSource
open ActualEnumeration UniqueGamesTheorem.Reduction.Explicit
variable {N : Type*}
abbrev Parameter (k s d : Nat) (N : Type*) :=
(E k →ₗ[F2] ActualEnumeration.Ambient s d) × (N × (E k →ₗ[F2] F2))
def occurrenceTuples (m k : Nat) : List (Fin k → Fin m) :=
functions (List.finRange m) k
/-- Ambient linear map, noise occurrence index, scalar linear functional,
in exactly the original nested enumeration order. -/
def fixedParams (k s d : Nat) (indices : List N) : List (Parameter k s d N) :=
pairs (allLinearMaps k _ (ambientVectors s d))
(pairs indices (allLinearMaps k F2 [0, 1]))
def assemble {m k s d : Nat} (U : Fin k → Fin m) (p : Parameter k s d N) :
Query m k s d × (N × (E k →ₗ[F2] F2)) :=
((U, p.1), p.2)
/-- The reassociation changes only parentheses, not enumeration order. -/
def outcomeEquiv (m k s d : Nat) (N : Type*) :
(Query m k s d × (N × (E k →ₗ[F2] F2))) ≃
((Fin k → Fin m) × Parameter k s d N) :=
Equiv.prodAssoc _ _ _
private theorem pairs_associate {Left Middle Right : Type*}
(xs : List Left) (ys : List Middle) (zs : List Right) :
pairs (pairs xs ys) zs =
xs.flatMap (fun x => (pairs ys zs).map (fun p => ((x, p.1), p.2))) := by
simp only [pairs, List.flatMap_assoc, List.flatMap_map, List.map_flatMap,
List.map_map, Function.comp_def]
theorem indexedOutcomes_factor (m k s d : Nat) (indices : List N) :
ActualEnumeration.indexedOutcomes m k s d indices =
(occurrenceTuples m k).flatMap (fun U => (fixedParams k s d indices).map (assemble U)) := by
exact pairs_associate (functions (List.finRange m) k)
(allLinearMaps k _ (ambientVectors s d))
(pairs indices (allLinearMaps k F2 [0, 1]))
theorem indexedOutcomes_reassociate (m k s d : Nat) (indices : List N) :
(ActualEnumeration.indexedOutcomes m k s d indices).map (outcomeEquiv m k s d N) =
pairs (occurrenceTuples m k) (fixedParams k s d indices) := by
rw [indexedOutcomes_factor]
simp only [pairs, List.map_flatMap, List.map_map, Function.comp_def,
assemble, outcomeEquiv, Equiv.prodAssoc_apply]
theorem occurrenceTuples_length (m k : Nat) : (occurrenceTuples m k).length = m^k := by
simp only [occurrenceTuples, length_functions, List.length_finRange]
theorem fixedParams_length (k s d : Nat) (indices : List N) :
(fixedParams k s d indices).length = 2^((2*k+1)*(s+d+1)) * indices.length := by
simp only [fixedParams, length_pairs, length_allLinearMaps, length_ambientVectors,
List.length_cons, List.length_nil, ← pow_mul]
change 2^((s+d)*(2*k+1)) * (indices.length * 2^(2*k+1)) =
2^((2*k+1)*(s+d+1)) * indices.length
rw [show (2*k+1)*(s+d+1) = (s+d)*(2*k+1)+(2*k+1) by ring, pow_add]
ring
theorem fixedParams_nonempty (k s d : Nat) {indices : List N} (hne : indices ≠ []) :
fixedParams k s d indices ≠ [] := by
apply List.length_pos_iff.mp
rw [fixedParams_length]
exact Nat.mul_pos (Nat.two_pow_pos _) (List.length_pos_iff.mpr hne)
/-- A coefficient-only representation of each fixed linear-map parameter. -/
abbrev CoefficientParameter (k s d : Nat) (N : Type*) :=
Coefficients k (ActualEnumeration.Ambient s d) × (N × Coefficients k F2)
def coefficientValues {Value : Type*} (k : Nat) (values : List Value) :
List (Coefficients k Value) :=
pairs values (functions (pairs values values) k)
def fixedCoefficientParams (k s d : Nat) (indices : List N) :
List (CoefficientParameter k s d N) :=
pairs (coefficientValues k (ambientVectors s d))
(pairs indices (coefficientValues k ([0, 1] : List F2)))
def fromCoefficientParameter {k s d : Nat} (p : CoefficientParameter k s d N) :
Parameter k s d N :=
(coefficientEquiv k _ p.1, (p.2.1, coefficientEquiv k F2 p.2.2))
/-- The concrete coefficient enumeration produces precisely the fixed parameter
list. No choice of maps or representatives is made by this constructor. -/
theorem fixedCoefficientParams_map (k s d : Nat) (indices : List N) :
(fixedCoefficientParams k s d indices).map fromCoefficientParameter =
fixedParams k s d indices := by
simp only [fixedCoefficientParams, fixedParams, coefficientValues, allLinearMaps,
pairs, List.map_flatMap, List.flatMap_assoc, List.flatMap_map, List.map_map, Function.comp_def,
fromCoefficientParameter]
theorem fixedCoefficientParams_length (k s d : Nat) (indices : List N) :
(fixedCoefficientParams k s d indices).length =
2^((2*k+1)*(s+d+1)) * indices.length := by
rw [← fixedParams_length k s d indices, ← fixedCoefficientParams_map, List.length_map]
def tableParams (k : Nat) {s d : Nat} (T : Integration.NoiseTables.Table s d) :
List (Parameter k s d (Fin T.vectors.length)) :=
fixedParams k s d (List.finRange T.vectors.length)
theorem tableParams_length (k : Nat) {s d : Nat} (T : Integration.NoiseTables.Table s d) :
(tableParams k T).length = 2^((2*k+1)*(s+d+1)) * T.vectors.length := by
simp only [tableParams, fixedParams_length, List.length_finRange]
theorem outputInstance_constraints (S : Source) (k : Nat) {s d : Nat}
(g : SplitGadget s d) (en : NoiseEnumeration g) :
(AddressGame.outputInstance S k g en).constraints =
(occurrenceTuples S.occurrences k).flatMap (fun U =>
(fixedParams k s d en.indices).map (fun p =>
AddressGame.addressEdge S k g (assemble U p))) := by
change (ActualEnumeration.indexedOutcomes S.occurrences k s d en.indices).map
(AddressGame.addressEdge S k g) = _
rw [indexedOutcomes_factor]
simp only [List.map_flatMap, List.map_map, Function.comp_def]
theorem tableOutput_constraints (S : Source) (k : Nat) {s d : Nat}
(T : Integration.NoiseTables.Table s d) :
(AddressGame.tableOutput S k T).constraints =
(occurrenceTuples S.occurrences k).flatMap (fun U =>
(tableParams k T).map (fun p => AddressGame.addressEdge S k
(Integration.TableReduction.tableSkeleton T) (assemble U p))) :=
outputInstance_constraints S k (Integration.TableReduction.tableSkeleton T)
(Integration.TableReduction.tableEnumeration T Prod.fst (fun _ _ => rfl))
end UniqueGamesTheorem.Reduction.FixedOutcomes
end
end OAI