import Mathlib.Tactic.DeriveFintype 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