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Add lean source and binary files (part 64)
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import OAI.Computability.UniqueGames.Games.ProductSoundness
import OAI.Computability.UniqueGames.Machines.MachineProductRuntime
import OAI.Computability.UniqueGames.Machines.MachineSubdivisionBodySpecLemmas
import OAI.Computability.UniqueGames.Machines.MachineUniformRun
import OAI.Computability.UniqueGames.Reduction.ParameterSelection
namespace OAI
/-!
The concrete final composition, once the matrix reduction has been proved.
This constructor copies the actual occurrence list, subdivides every occurrence
into four edges, and runs the full tuple-product machine. Its hypotheses are
the matrix reduction's actual value bounds and finite-machine computation.
It is an intermediate composition theorem, not the unconditional endpoint.
-/
namespace UniqueGamesTheorem.FinishReduction
open UniqueGamesTheorem.Foundations Target
open UniqueGamesTheorem.Foundations.Complexity
open UniqueGamesTheorem.Integration
open Explicit
noncomputable section
/-- Compose the proved matrix reduction with the explicit three-stage finish.
All parameters, machines, alphabets, and time polynomials precede the input.
The original raw binary input codec is retained by sequential composition. -/
def of_matrix_reduction {ε δ : ℝ} (P : ParameterSelection.OuterParameters ε δ)
{q s : ℕ} (hq : 2 ≤ q) (hs : 1 ≤ s)
(coordinates : Fin q ≃ BinaryLinear.Vector s)
(matrix : List Bool → Instance q)
(translations : ∀ input, TranslationTarget.IsTranslationInstance coordinates (matrix input))
(computation : Turing.TM2ComputableInPolyTime (id : List Bool → List Bool)
gameBits matrix)
(finiteAlphabet : MachineFiniteAlphabet.FiniteAlphabet computation.tm)
(d : ℚ) (hd : d ≤ P.epsilon0 / P.repetitions)
(complete : ∀ input, BinaryLanguage.language input →
1 - (d : ℝ) ≤ InstanceValue.value (matrix input))
(sound : ∀ input, ¬BinaryLanguage.language input →
InstanceValue.value (matrix input) ≤ 99 / 100) :
MachineOutputContract.BinaryGapReduction ε δ := by
classical
have hqpos : 0 < q := by omega
have hC : 0 < P.copies := by have h := P.copies_large; omega
letI : Nonempty (Fin q) := ⟨⟨0, hqpos⟩⟩
let rounded := fun input => UniformTarget.construct P.copies hC (matrix input)
have roundedTranslations : ∀ input,
TranslationTarget.IsTranslationInstance coordinates (rounded input) := fun input =>
UniformTarget.translations P.copies hC (matrix input) coordinates (translations input)
let roundedMachine := MachineSequential.composeBits
(f := matrix) (g := UniformTarget.construct P.copies hC) computation
(MachineUniformRun.computation (q := q) P.copies hC)
have roundedFinite : MachineFiniteAlphabet.FiniteAlphabet roundedMachine.tm :=
MachineFiniteAlphabet.composeBits
(f := matrix) (g := UniformTarget.construct P.copies hC) computation
(MachineUniformRun.computation (q := q) P.copies hC) finiteAlphabet
(MachineUniformRun.finiteAlphabet (q := q) P.copies hC)
let base := fun input => SubdivisionTarget.subdivide (rounded input)
let basePresentation := fun input => SubdivisionTarget.simpleBipartite (rounded input)
let baseMachine := MachineSubdivisionCompose.translationComputableInPolyTime
coordinates roundedMachine roundedTranslations
have baseFinite : MachineFiniteAlphabet.FiniteAlphabet baseMachine.tm :=
MachineSubdivisionCompose.finiteAlphabet roundedMachine
(fun input => MachineSubdivisionCorrespondence.translations_involutive
coordinates (rounded input) (roundedTranslations input)) roundedFinite
let output := fun input => ProductPaddedOutput.output (base input)
(basePresentation input) P.repetitions P.repetitions_pos
let outputMachine := MachineProductRuntime.compose baseMachine basePresentation
P.repetitions P.repetitions_pos
have hqout : 2 ≤ q ^ P.repetitions :=
hq.trans (Nat.le_self_pow P.repetitions_pos.ne' q)
have hqoutpos : 0 < q ^ P.repetitions := by omega
have baseValue (input : List Bool) :
InstanceValue.value (base input) =
1 - (1 - InstanceValue.value (matrix input)) / 4 := by
dsimp [base, rounded]
rw [SubdivisionTarget.value_eq _ hqpos,
UniformTarget.value P.copies hC (matrix input) hqpos]
have hτ : (0 : ℝ) < (P.pStar : ℝ) := by exact_mod_cast P.pStar_pos
have hτsmall : (P.pStar : ℝ) ≤ 1 / 200 := by
simpa only [ParameterSelection.OuterParameters.pStar, Rat.cast_div, Rat.cast_ofNat,
Rat.cast_one]
using ((Rat.cast_le (K := ℝ)).mpr P.reciprocal_small)
have hτbudget : (P.pStar : ℝ) ≤ (P.epsilon0 : ℝ) / P.repetitions := by
exact_mod_cast P.reciprocal_budget
have hdbudget : (d : ℝ) ≤ (P.epsilon0 : ℝ) / P.repetitions := by
exact_mod_cast hd
have hε0 : (0 : ℝ) ≤ (P.epsilon0 : ℝ) := by
exact_mod_cast P.epsilon0_pos.le
have roundingError (input : List Bool) :
|InstanceValue.value (base input) -
(1 - (1 - InstanceValue.value (matrix input)) / 4)| ≤ (P.pStar : ℝ) / 4 := by
rw [baseValue input, sub_self, abs_zero]
positivity
refine {
alphabet := q ^ P.repetitions
alphabetAtLeastTwo := hqout
dimension := s * P.repetitions
dimensionPositive := by
have hpos := Nat.mul_pos (show 0 < s by omega) P.repetitions_pos
omega
coordinates := ProductPaddedOutput.finalCoordinates coordinates P.repetitions
construct := output
simpleBipartite := fun input => ProductPaddedOutput.simpleBipartite
(base input) (basePresentation input) P.repetitions P.repetitions_pos
translations := fun input => ProductPaddedOutput.output_translations
(base input) (basePresentation input) coordinates
(SubdivisionTarget.subdivide_translation coordinates (rounded input)
(roundedTranslations input)) P.repetitions P.repetitions_pos
computation := outputMachine
finiteAlphabet := MachineProductRuntime.compose_finiteAlphabet
baseMachine basePresentation P.repetitions P.repetitions_pos baseFinite
completeness := ?_
soundness := ?_
}
· intro input yes
apply (InstanceValue.exists_rate_ge_iff (output input) hqoutpos (1 - ε)).mpr
have hbase := FinishBounds.subdivision_completeness _ _ (d : ℝ) (P.pStar : ℝ)
(complete input yes) (roundingError input)
have hproduct := ProductPaddedOutput.output_completeness (base input)
(basePresentation input) P.repetitions P.repetitions_pos
(error := 1 - InstanceValue.value (base input)) (by linarith)
exact FinishBounds.final_completeness _ _ (d : ℝ) (P.pStar : ℝ)
(P.epsilon0 : ℝ) ε P.repetitions P.repetitions_pos hbase hproduct
hdbudget hτbudget hε0 P.epsilon0_le
· intro input no
apply (InstanceValue.forall_rate_le_iff (output input) hqoutpos δ).mpr
have hbase := FinishBounds.subdivision_soundness _ _ (P.pStar : ℝ)
(sound input no) hτsmall (roundingError input)
exact (ProductPaddedOutput.output_soundness (base input) (basePresentation input)
P.repetitions P.repetitions_pos P.soundness_rate hbase).trans P.delta0_le
end
end UniqueGamesTheorem.FinishReduction
end OAI