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import OAI.Computability.UniqueGames.Machines.MachineLemmas
import OAI.Computability.UniqueGames.Machines.MachineTransducerCopy
import OAI.Computability.UniqueGames.PCP.SourceMachine
import OAI.Computability.UniqueGames.Reduction.CloneTable
import OAI.Computability.UniqueGames.Reduction.MachineTransducer
namespace OAI
section
namespace UniqueGamesTheorem.Reduction.CloneMachineModel
open Turing
open UniqueGamesTheorem.Foundations.Complexity
open UniqueGamesTheorem.Foundations.Hastad
inductive Tape
| input | header | counter | field (slot : Fin 4) | scratch | reversed | output
deriving DecidableEq, Fintype
abbrev Context (D : Nat) := Fin 2 ⊕ (Fin D × Fin 4)
abbrev State (D : Nat) := (Unit × Context D) × Option Bool
abbrev Alphabet (_ : Tape) := Bool
inductive Label (D : Nat)
| headerStart (slot : Fin 2)
| headerLoop (slot : Fin 2)
| setup (context : Context D)
| scan (context : Context D)
| emit (context control : Context D) (symbol : Bool)
| restore (context : Context D)
| clearHeader
| guard
| fieldStart (slot : Fin 4)
| fieldLoop (slot : Fin 4)
| cleanup (slot : Fin 4)
| finalCounter
| finalReverse
deriving DecidableEq, Fintype
def defaultControl (D : Nat) : Context D := .inl 0
def initialState (D : Nat) : State D := (((), defaultControl D), none)
def headerTape (j : Fin 2) : Tape := if j.val = 0 then .header else .counter
def contextSource {D : Nat} : Context D → Tape
| .inl j => headerTape j
| .inr p => .field p.2
def contextScale {D : Nat} : Context D → Nat
| .inl j => if j.val = 0 then 48 else D
| .inr p => if p.2.val < 3 then 48 else 1
def tripleField (t : Nat × Nat × Nat) (j : Fin 4) : Nat :=
match j.val with
| 0 => t.1
| 1 => t.2.1
| 2 => t.2.2
| _ => 0
def contextOffset (triples : List (Nat × Nat × Nat)) : Context triples.length → Nat
| .inl _ => 0
| .inr p => tripleField (triples.get p.1) p.2
def affineEmit (scale offset : Nat) : Bool → List Bool
| true => List.replicate scale true
| false => encodeWord offset
def emission (triples : List (Nat × Nat × Nat)) (c : Context triples.length) :
Bool → List Bool := affineEmit (contextScale c) (contextOffset triples c)
def contextNext {D : Nat} : Context D → Option (Label D)
| .inl j => if j.val = 0 then some (.setup (.inl 1)) else some .clearHeader
| .inr (i, j) =>
if hj : j.val + 1 < 4 then some (.setup (.inr (i, ⟨j.val + 1, hj⟩)))
else if hi : i.val + 1 < D then some (.setup (.inr (⟨i.val + 1, hi⟩, 0)))
else some (.cleanup 0)
def cleanupNext {D : Nat} (j : Fin 4) : Label D :=
if hj : j.val + 1 < 4 then .cleanup ⟨j.val + 1, hj⟩ else .guard
def drain {D : Nat} (tape : Tape) (again next : Label D) :
TM2.Stmt Alphabet (Label D) (State D) :=
.pop tape (fun state head => (state.1, head))
(.branch (fun state => state.2.isSome)
(.goto fun _ => again)
(.load (fun state => (state.1, none)) (.goto fun _ => next)))
def program (triples : List (Nat × Nat × Nat)) (nonempty : triples ≠ []) :
Label triples.length → TM2.Stmt Alphabet (Label triples.length) (State triples.length)
| .headerStart j => SourceMachine.fieldStart (headerTape j) (.headerLoop j)
| .headerLoop j => SourceMachine.fieldLoop .input (headerTape j) (.headerLoop j)
(if j.val = 0 then some (.headerStart 1) else some (.setup (.inl 0)))
| .setup c => .load (fun _ => (((), c), none)) (.goto fun _ => .scan c)
| .scan c => MachineTransducerCopy.scanLoop (contextSource c) .scratch
(defaultControl _) (fun q b => .emit c q b) (.restore c)
| .emit c q b => MachineTransducerCopy.emitter .reversed (fun q _ => q)
(emission triples) (.scan c) q b
| .restore c => MachineTransfer.loopAt .scratch (contextSource c) id false
(.restore c) (contextNext c)
| .clearHeader => drain .header .clearHeader .guard
| .guard => MachineUnaryCounter.guard .counter (.fieldStart 0) .finalCounter
| .fieldStart j => SourceMachine.fieldStart (.field j) (.fieldLoop j)
| .fieldLoop j => SourceMachine.fieldLoop .input (.field j) (.fieldLoop j)
(SourceMachine.fieldNext Label.fieldStart
(some (.setup (.inr (⟨0, List.length_pos_iff.mpr nonempty⟩, 0)))) j)
| .cleanup j => drain (.field j) (.cleanup j) (cleanupNext j)
| .finalCounter => .pop .counter (fun state _ => (state.1, none))
(.goto fun _ => .finalReverse)
| .finalReverse => MachineTransfer.loopAt .reversed .output id false .finalReverse none
def machine (triples : List (Nat × Nat × Nat)) (nonempty : triples ≠ []) : FinTM2 where
K := Tape
k₀ := .input
k₁ := .output
Γ := Alphabet
Λ := Label triples.length
main := .headerStart 0
σ := State triples.length
initialState := initialState _
m := program triples nonempty
end UniqueGamesTheorem.Reduction.CloneMachineModel
end
section
/-!
# Affine word emission in the actual clone-table machine
The shared machine keeps its context fixed while copying one saved word. Its
finite transducer therefore acts by a fixed symbol substitution. The lemmas
below identify that substitution with the established unary encoding of
`offset + scale * value`, including all header and equation-field contexts.
Scale, offset, and the triple-table length remain symbolic.
-/
namespace UniqueGamesTheorem.Reduction.CloneMachineAffine
open UniqueGamesTheorem.Foundations.Complexity
open CloneMachineModel
/-- Identity control transitions reduce exactly to fixed symbol substitution. -/
theorem output_eq_flatMap {Q : Type} [Fintype Q]
(emit : Q → Bool → List Bool) (q : Q) (input : List Bool) :
MachineTransducer.output (fun state _ => state) emit q input =
input.flatMap (emit q) := by
induction input with
| nil => rfl
| cons b input ih =>
simp only [MachineTransducer.output, List.flatMap_cons, ih]
theorem output_append {Q : Type} [Fintype Q]
(emit : Q → Bool → List Bool) (q : Q) (first rest : List Bool) :
MachineTransducer.output (fun state _ => state) emit q (first ++ rest) =
MachineTransducer.output (fun state _ => state) emit q first ++
MachineTransducer.output (fun state _ => state) emit q rest := by
simp only [output_eq_flatMap, List.flatMap_append]
theorem affineEmit_replicate_true (scale offset v : Nat) :
(List.replicate v true).flatMap (affineEmit scale offset) =
List.replicate (scale * v) true := by
rw [List.flatMap_replicate]
change (List.replicate v (List.replicate scale true)).flatten = _
rw [List.flatten_replicate_replicate, Nat.mul_comm v scale]
/-- This includes zero scale and zero offset, with no positivity assumptions. -/
theorem affineEmit_word (scale offset v : Nat) :
(encodeWord v).flatMap (affineEmit scale offset) =
encodeWord (offset + scale * v) := by
simp only [encodeWord, List.flatMap_append, List.flatMap_cons, List.flatMap_nil,
List.append_nil, affineEmit_replicate_true, affineEmit]
rw [← List.append_assoc, List.replicate_append_replicate, Nat.add_comm (scale * v) offset]
theorem affineEmit_word_append (scale offset v : Nat) (rest : List Bool) :
(encodeWord v ++ rest).flatMap (affineEmit scale offset) =
encodeWord (offset + scale * v) ++ rest.flatMap (affineEmit scale offset) := by
rw [List.flatMap_append, affineEmit_word]
theorem affineEmit_words (scale offset : Nat) (vs : List Nat) :
(encodeWords vs).flatMap (affineEmit scale offset) =
encodeWords (vs.map (fun v => offset + scale * v)) := by
induction vs with
| nil => rfl
| cons v vs ih =>
simp only [encodeWords, List.flatMap_append, List.map_cons, affineEmit_word, ih]
/-- Exact symbolic context transform used by the shared clone-table machine. -/
theorem output_word (triples : List (Nat × Nat × Nat))
(c : Context triples.length) (v : Nat) :
MachineTransducer.output (fun q _ => q) (emission triples) c (encodeWord v) =
encodeWord (contextOffset triples c + contextScale c * v) := by
rw [output_eq_flatMap]
exact affineEmit_word (contextScale c) (contextOffset triples c) v
theorem output_word_append (triples : List (Nat × Nat × Nat))
(c : Context triples.length) (v : Nat) (rest : List Bool) :
MachineTransducer.output (fun q _ => q) (emission triples) c (encodeWord v ++ rest) =
encodeWord (contextOffset triples c + contextScale c * v) ++
MachineTransducer.output (fun q _ => q) (emission triples) c rest := by
rw [output_append, output_word]
theorem output_words (triples : List (Nat × Nat × Nat))
(c : Context triples.length) (vs : List Nat) :
MachineTransducer.output (fun q _ => q) (emission triples) c (encodeWords vs) =
encodeWords (vs.map (fun v => contextOffset triples c + contextScale c * v)) := by
rw [output_eq_flatMap]
exact affineEmit_words (contextScale c) (contextOffset triples c) vs
theorem output_header_variables (triples : List (Nat × Nat × Nat)) (v : Nat) :
MachineTransducer.output (fun q _ => q) (emission triples) (.inl 0) (encodeWord v) =
encodeWord (48 * v) := by
simpa [contextOffset, contextScale] using output_word triples (.inl 0) v
/-- The equation-count multiplier remains the arbitrary symbolic table length. -/
theorem output_header_count (triples : List (Nat × Nat × Nat)) (v : Nat) :
MachineTransducer.output (fun q _ => q) (emission triples) (.inl 1) (encodeWord v) =
encodeWord (triples.length * v) := by
simpa [contextOffset, contextScale] using output_word triples (.inl 1) v
theorem output_field (triples : List (Nat × Nat × Nat))
(i : Fin triples.length) (j : Fin 4) (v : Nat) :
MachineTransducer.output (fun q _ => q) (emission triples) (.inr (i, j)) (encodeWord v) =
encodeWord (tripleField (triples.get i) j + (if j.val < 3 then 48 else 1) * v) := by
exact output_word triples (.inr (i, j)) v
theorem output_first_field (triples : List (Nat × Nat × Nat))
(i : Fin triples.length) (v : Nat) :
MachineTransducer.output (fun q _ => q) (emission triples) (.inr (i, 0)) (encodeWord v) =
encodeWord ((triples.get i).1 + 48 * v) := by
simpa [tripleField] using output_field triples i 0 v
theorem output_second_field (triples : List (Nat × Nat × Nat))
(i : Fin triples.length) (v : Nat) :
MachineTransducer.output (fun q _ => q) (emission triples) (.inr (i, 1)) (encodeWord v) =
encodeWord ((triples.get i).2.1 + 48 * v) := by
simpa [tripleField] using output_field triples i 1 v
theorem output_third_field (triples : List (Nat × Nat × Nat))
(i : Fin triples.length) (v : Nat) :
MachineTransducer.output (fun q _ => q) (emission triples) (.inr (i, 2)) (encodeWord v) =
encodeWord ((triples.get i).2.2 + 48 * v) := by
simpa [tripleField] using output_field triples i 2 v
/-- RHS words are copied exactly, including both legal Boolean values. -/
theorem output_rhs_field (triples : List (Nat × Nat × Nat))
(i : Fin triples.length) (v : Nat) :
MachineTransducer.output (fun q _ => q) (emission triples) (.inr (i, 3)) (encodeWord v) =
encodeWord v := by
simpa [tripleField] using output_field triples i 3 v
end UniqueGamesTheorem.Reduction.CloneMachineAffine
end
end OAI
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