roseking's picture
Add lean source and binary files (part 61)
ea76aac verified
Raw History Blame Contribute Delete
34.5 kB
import Mathlib
import OAI.Computability.MaxCut.Arithmetic.GridWeight
namespace OAI
noncomputable section
namespace OptimalMaxCut.LongCode.Game
open scoped BigOperators
open Finset MaxCutGames.Foundations.Hastad
open OptimalMaxCut.Unweighted
variable {X Y E : Type} [Fintype X] [Fintype Y] [Fintype E] {q N : ℕ}
abbrev Sample (Y E : Type) (q : ℕ) := Y × (E × (E × (Cube (Fin q) × Cube (Fin q))))
/-- One input-size polynomial denominator, rather than a product of all
vertex degrees. Both grid and unweighting error are uniform over all cuts. -/
def gridSize (Y E : Type) [Fintype Y] [Fintype E] (q K : ℕ) :=
(K+1) * (Fintype.card (Sample Y E q)+1)
theorem gridSize_pos (K : ℕ) : 0 < gridSize Y E q K := by
unfold gridSize; positivity
noncomputable def gridWeights (G : Game X Y E q) (t : ℚ) (ht : t ∈ Set.Icc (-1 : ℚ) 1)
(enum : X × Cube (Fin q) ≃ Fin N) (anchor : Fin N) (K : ℕ) : Fin N → Fin N → ℚ :=
roundedWeights (G.sampleLaw t ht) (fun a => (enum (G.queries a).1, enum (G.queries a).2))
anchor (gridSize Y E q K) (gridSize_pos K)
theorem gridWeights_error (G : Game X Y E q) (t : ℚ) (ht : t ∈ Set.Icc (-1 : ℚ) 1)
(enum : X × Cube (Fin q) ≃ Fin N) (anchor : Fin N) (K : ℕ) :
weightedMax (fun u v => (G.gridWeights t ht enum anchor K u v : ℝ)) ≤
weightedMax (fun u v => (G.weights t ht enum u v : ℝ)) ∧
weightedMax (fun u v => (G.weights t ht enum u v : ℝ)) -
weightedMax (fun u v => (G.gridWeights t ht enum anchor K u v : ℝ)) ≤ 1/(K+1 : ℝ) := by
have h := roundedWeights_max_error (G.sampleLaw t ht)
(fun a => (enum (G.queries a).1, enum (G.queries a).2)) anchor
(gridSize Y E q K) (gridSize_pos K)
have hb : (Fintype.card (Sample Y E q) : ℝ) / gridSize Y E q K ≤ 1/(K+1 : ℝ) := by
have hK : (0 : ℝ) < K+1 := by positivity
have hC : (0 : ℝ) < Fintype.card (Sample Y E q)+1 := by positivity
rw [gridSize, Nat.cast_mul, Nat.cast_add, Nat.cast_add, Nat.cast_one]
apply (div_le_div_iff₀ (mul_pos hK hC) hK).mpr
nlinarith
exact ⟨h.1, h.2.trans hb⟩
noncomputable def gridOutput (G : Game X Y E q) (t : ℚ) (ht : t ∈ Set.Icc (-1 : ℚ) 1)
(enum : X × Cube (Fin q) ≃ Fin N) (anchor : Fin N) (K : ℕ) : ScaledGraph :=
deterministicOutput (K+1) (G.gridWeights t ht enum anchor K) (aggregate_symm _)
theorem gridOutput_error (G : Game X Y E q) (t : ℚ) (ht : t ∈ Set.Icc (-1 : ℚ) 1)
(enum : X × Cube (Fin q) ≃ Fin N) (anchor : Fin N) (K : ℕ) :
|((G.gridOutput t ht enum anchor K).graph.maxCut : ℝ) / (G.gridOutput t ht enum anchor K).scale -
weightedMax (fun u v => (G.gridWeights t ht enum anchor K u v : ℝ))| ≤ 2/(K+1 : ℝ) := by
simpa only [gridOutput, gridWeights, roundedWeights, Nat.cast_add, Nat.cast_one] using
deterministicOutput_error (K+1) (by omega) _ (aggregate_symm _)
(fun u v _ => aggregate_nonneg _ u v) (aggregate_total _)
theorem gridOutput_complete (G : Game X Y E q) (t : ℚ) (ht : t ∈ Set.Icc (-1 : ℚ) 1)
(enum : X × Cube (Fin q) ≃ Fin N) (anchor : Fin N) (K : ℕ)
(lx : X → Fin q) (ly : Y → Fin q) :
(1+(t:ℝ))/2 - 2*(1-G.satisfied lx ly) - 3/(K+1 : ℝ) ≤
((G.gridOutput t ht enum anchor K).graph.maxCut : ℝ) / (G.gridOutput t ht enum anchor K).scale := by
have hc := G.weightedMax_complete t ht enum lx ly
have he := G.gridWeights_error t ht enum anchor K
have hg := abs_le.mp (G.gridOutput_error t ht enum anchor K)
linarith [show (3 : ℝ)/(K+1) = 1/(K+1) + 2/(K+1) by ring]
theorem gridOutput_vertex_bound (G : Game X Y E q) (t : ℚ) (ht : t ∈ Set.Icc (-1 : ℚ) 1)
(enum : X × Cube (Fin q) ≃ Fin N) (anchor : Fin N) (K : ℕ) :
(G.gridOutput t ht enum anchor K).graph.vertices ≤
N*(2*((K+1)*(N+1)^2+1))^6 := deterministicOutput_vertex_bound _ _ _
/-- All game-independent constants for the rounded, executable-integer target.
This is the mathematical gap; the polynomial TM printer is still separate. -/
theorem exists_grid_gap_parameters (α : ℝ) (hα : alphaGW < α) (hα1 : α ≤ 1) :
∃ (t ε y n : ℚ) (δ : ℝ) (K : ℕ) (ht : t ∈ Set.Icc (-1 : ℚ) 1),
0 < t ∧ t < 1 ∧ 0 < ε ∧ (ε:ℝ) < 1/2 ∧ 0 < δ ∧ δ < 1/2 ∧
0 < y ∧ 0 ≤ n ∧ (n:ℝ) < α*(y:ℝ) ∧
(∀ {X Y E : Type} [Fintype X] [Fintype Y] [Fintype E] {q N : ℕ}
(G : Game X Y E q) (enum : X × Cube (Fin q) ≃ Fin N) (anchor : Fin N),
(∃ lx ly, 1-(ε:ℝ) ≤ G.satisfied lx ly) →
(y:ℝ) ≤ ((G.gridOutput t ht enum anchor K).graph.maxCut : ℝ) /
(G.gridOutput t ht enum anchor K).scale) ∧
(∀ {X Y E : Type} [Fintype X] [Fintype Y] [Fintype E] {q N : ℕ}
(_hq : 0 < q) (G : Game X Y E q) (enum : X × Cube (Fin q) ≃ Fin N) (anchor : Fin N),
G.Sound δ → ((G.gridOutput t ht enum anchor K).graph.maxCut : ℝ) /
(G.gridOutput t ht enum anchor K).scale ≤ (n:ℝ)) := by
obtain ⟨t, η, y, n, ht0, ht1, hη, hηb, hy, hypos, hn, hnlo, hgap⟩ :=
exists_main_gap_parameters α hα hα1
have hηr : 0 < (η:ℝ) := by exact_mod_cast hη
have htR : 0 < (t:ℝ) := by exact_mod_cast ht0
have htR1 : (t:ℝ) < 1 := by exact_mod_cast ht1
have hb : 0 ≤ borellCurve t := mul_nonneg (by positivity) (Real.arcsin_nonneg.mpr htR.le)
have hηsmall : (η:ℝ) < 1/4 := by linarith
obtain ⟨δ,hδ,hsound⟩ := exists_weighted_soundness t ht0 ht1 (η:ℝ) hηr
obtain ⟨K,hlarge⟩ := exists_nat_gt (3/(η:ℝ))
have hK : (0:ℝ) < K+1 := by positivity
have hsmall : 3/(K+1:ℝ) ≤ (η:ℝ) := by
have hm := (div_lt_iff₀ hηr).mp hlarge
apply (div_le_iff₀ hK).mpr; nlinarith
have hsmaller : 2/(K+1:ℝ) ≤ (η:ℝ) := by
exact (div_le_div_of_nonneg_right (by norm_num) hK.le).trans hsmall
let ht : t ∈ Set.Icc (-1:ℚ) 1 := ⟨by linarith, ht1.le⟩
refine ⟨t,η/4,y,n,min δ (1/4),K,ht,ht0,ht1,by positivity,?_,
lt_min hδ (by norm_num),?_,hypos,hn,hgap,?_,?_⟩
· push_cast; linarith
· exact (min_le_right _ _).trans_lt (by norm_num)
· intro X Y E _ _ _ q N G enum anchor hyes
obtain ⟨lx,ly,hsat⟩ := hyes
have hc := G.gridOutput_complete t ht enum anchor K lx ly
have hyR : (y:ℝ) = (1+(t:ℝ))/2-2*(η:ℝ) := by exact_mod_cast hy
push_cast at hsat; linarith
· intro X Y E _ _ _ q N hq G enum anchor hs
have hs' : G.Sound δ := fun lx ly => (hs lx ly).trans (min_le_left _ _)
have h := hsound hq G enum hs'
have he := G.gridWeights_error t ht enum anchor K
have hg := abs_le.mp (G.gridOutput_error t ht enum anchor K)
change (1+2/Real.pi*Real.arcsin (t:ℝ))/2+2*(η:ℝ) < (n:ℝ) at hnlo
linarith
end OptimalMaxCut.LongCode.Game
namespace OptimalMaxCut.CounterMachine
open Turing
inductive Tape (R : Type) where
| input | backup | output | reg (r : R)
deriving DecidableEq, Fintype
inductive Instruction (R L : Type) where
| inc (r : R) (next : L)
| dec (r : R) (positive zero : L)
| test (r : R) (zero positive : L)
| read (one zero empty : L)
| back (nonempty empty : L)
| write (b : Bool) (next : L)
| discard (next : L)
| jump (next : L)
| halt
structure Data (R : Type) where
reg : R → ℕ
input : List Bool
backup : List Bool
output : List Bool
structure Configuration (R L : Type) extends Data R where
label : Option L
variable {R L : Type} [DecidableEq R]
def Instruction.execute (i : Instruction R L) (d : Data R) : Configuration R L :=
match i with
| .inc r next => ⟨{ d with reg := Function.update d.reg r (d.reg r + 1) }, some next⟩
| .dec r positive zero =>
⟨{ d with reg := Function.update d.reg r (d.reg r - 1) },
some (if d.reg r = 0 then zero else positive)⟩
| .test r zero positive => ⟨d, some (if d.reg r = 0 then zero else positive)⟩
| .read one zero empty =>
⟨{ d with input := d.input.tail, backup := d.input.take 1 ++ d.backup }, some (match d.input with
| [] => empty | true :: _ => one | false :: _ => zero)⟩
| .back nonempty empty =>
⟨{ d with input := d.backup.take 1 ++ d.input, backup := d.backup.tail },
some (if d.backup = [] then empty else nonempty)⟩
| .write b next => ⟨{ d with output := b :: d.output }, some next⟩
| .discard next => ⟨{d with input := d.input.tail}, some next⟩
| .jump next => ⟨d, some next⟩
| .halt => ⟨d, none⟩
def step (p : L → Instruction R L) (c : Configuration R L) : Option (Configuration R L) :=
c.label.map (fun l => (p l).execute c.toData)
def tapes (d : Data R) : Tape R → List Bool
| .input => d.input
| .backup => d.backup
| .output => d.output
| .reg r => List.replicate (d.reg r) true
def embed (c : Configuration R L) : TM2.Cfg (fun _ : Tape R => Bool) L (Option Bool) :=
⟨c.label, none, tapes c.toData⟩
def goto (l : L) : TM2.Stmt (fun _ : Tape R => Bool) L (Option Bool) :=
.load (fun _ => none) (.goto (fun _ => l))
def Instruction.code : Instruction R L → TM2.Stmt (fun _ : Tape R => Bool) L (Option Bool)
| .inc r next => .push (.reg r) (fun _ => true) (goto next)
| .dec r positive zero => .pop (.reg r) (fun _ b => b)
(.branch (fun b => b.isSome) (goto positive) (goto zero))
| .test r zero positive => .peek (.reg r) (fun _ b => b)
(.branch (fun b => b.isSome) (goto positive) (goto zero))
| .read one zero empty => .pop .input (fun _ b => b)
(.branch (fun b => b.isSome)
(.push .backup (fun b => b.getD false)
(.branch (fun b => b.getD false) (goto one) (goto zero))) (goto empty))
| .back nonempty empty => .pop .backup (fun _ b => b)
(.branch (fun b => b.isSome)
(.push .input (fun b => b.getD false) (goto nonempty)) (goto empty))
| .write b next => .push .output (fun _ => b) (goto next)
| .discard next => .pop .input (fun _ _ => none) (goto next)
| .jump next => goto next
| .halt => .halt
theorem tapes_inc (d : Data R) (r : R) :
tapes { d with reg := Function.update d.reg r (d.reg r + 1) } =
Function.update (tapes d) (.reg r) (true :: tapes d (.reg r)) := by
funext k
cases k with
| input => simp [tapes]
| output => simp [tapes]
| backup => simp [tapes]
| reg s => by_cases h : s = r <;> simp [tapes, h, List.replicate_succ]
theorem tapes_dec (d : Data R) (r : R) :
tapes { d with reg := Function.update d.reg r (d.reg r - 1) } =
Function.update (tapes d) (.reg r) (tapes d (.reg r)).tail := by
funext k
cases k with
| input => simp [tapes]
| output => simp [tapes]
| backup => simp [tapes]
| reg s => by_cases h : s = r <;> simp [tapes, h]
theorem tapes_read (d : Data R) :
tapes { d with input := d.input.tail, backup := d.input.take 1 ++ d.backup } =
Function.update (Function.update (tapes d) .input d.input.tail) .backup
(d.input.take 1 ++ d.backup) := by
funext k; cases k <;> simp [tapes]
theorem tapes_back (d : Data R) :
tapes { d with input := d.backup.take 1 ++ d.input, backup := d.backup.tail } =
Function.update (Function.update (tapes d) .backup d.backup.tail) .input
(d.backup.take 1 ++ d.input) := by
funext k; cases k <;> simp [tapes]
theorem tapes_write (d : Data R) (b : Bool) :
tapes { d with output := b :: d.output } =
Function.update (tapes d) .output (b :: d.output) := by
funext k; cases k <;> simp [tapes]
theorem instruction_simulation (i : Instruction R L) (d : Data R) :
TM2.stepAux i.code none (tapes d) = embed (i.execute d) := by
cases i with
| inc r next => simp [Instruction.code, Instruction.execute, goto, TM2.stepAux, embed, tapes_inc]
| dec r pos zero =>
cases h : d.reg r with
| zero =>
simp [Instruction.code, Instruction.execute, goto, TM2.stepAux, embed, tapes, h]
simpa [h, tapes] using (tapes_dec d r).symm
| succ n =>
simp [Instruction.code, Instruction.execute, goto, TM2.stepAux, embed,
tapes, h, List.replicate_succ]
simpa [h, tapes] using (tapes_dec d r).symm
| test r zero pos =>
cases h : d.reg r <;>
simp [Instruction.code, Instruction.execute, goto, TM2.stepAux, embed, tapes, h, List.replicate_succ]
| read one zero empty =>
cases h : d.input with
| nil =>
simp [Instruction.code, Instruction.execute, goto, TM2.stepAux, embed, tapes, h]
funext k; cases k <;> simp [tapes]
| cons b rest =>
cases b <;>
simp [Instruction.code, Instruction.execute, goto, TM2.stepAux, embed, tapes, h] <;>
simpa [h] using (tapes_read d).symm
| back nonempty empty =>
cases h : d.backup with
| nil =>
simp [Instruction.code, Instruction.execute, goto, TM2.stepAux, embed, tapes, h]
funext k; cases k <;> simp [tapes]
| cons b rest =>
cases b <;>
simp [Instruction.code, Instruction.execute, goto, TM2.stepAux, embed, tapes, h] <;>
simpa [h] using (tapes_back d).symm
| write b next =>
simp [Instruction.code, Instruction.execute, goto, TM2.stepAux, embed, tapes_write, tapes]
| discard next =>
simp [Instruction.code, Instruction.execute, goto, TM2.stepAux, embed]
funext k; cases k <;> simp [tapes]
| jump next => rfl
| halt => rfl
theorem step_simulation (p : L → Instruction R L) (c : Configuration R L) :
TM2.step (fun l => (p l).code) (embed c) = (step p c).map embed := by
cases c with
| mk d l =>
cases l with
| none => rfl
| some l => simpa [TM2.step, step, embed] using congrArg some (instruction_simulation (p l) d)
/-- No semantic atomic arithmetic operation is being charged unit time: only
unary increment/decrement, one input/output bit, and finite jumps are atomic. -/
def machine [Fintype R] [Fintype L] (p : L → Instruction R L) (main : L) : FinTM2 where
K := Tape R
k₀ := .input
k₁ := .output
Γ _ := Bool
Λ := L
main := main
σ := Option Bool
initialState := none
m l := (p l).code
theorem finite_tape_alphabet [Fintype R] [Fintype L]
(p : L → Instruction R L) (main : L) (k : (machine p main).K) :
Finite ((machine p main).Γ k) := inferInstanceAs (Finite Bool)
end OptimalMaxCut.CounterMachine
namespace OptimalMaxCut.CounterMachine
variable {R L : Type} [DecidableEq R]
/-- A structured program still has only finitely many syntactic labels.
`loop r c` tests/decrements its own unary counter, then runs `c`. It is a genuine
while loop: no claim of termination is built into the syntax. -/
inductive Command (R : Type) where
| skip
| inc (r : R)
| dec (r : R)
| write (b : Bool)
| discard
| rewind
| seq (first second : Command R)
| test (r : R) (zero positive : Command R)
| read (one zero empty : Command R)
| loop (r : R) (body : Command R)
namespace Command
def Label : Command R → Type
| .skip | .inc _ | .dec _ | .write _ | .discard | .rewind => Unit
| .seq a b => Label a ⊕ Label b
| .test _ a b => Unit ⊕ Label a ⊕ Label b
| .read a b c => Unit ⊕ Label a ⊕ Label b ⊕ Label c
| .loop _ b => Unit ⊕ Label b
noncomputable instance labelFintype (c : Command R) : Fintype (Label c) := by
induction c with
| skip | inc | dec | write | discard | rewind => exact inferInstanceAs (Fintype Unit)
| seq a b ia ib => exact inferInstanceAs (Fintype (Label a ⊕ Label b))
| test r a b ia ib => exact inferInstanceAs (Fintype (Unit ⊕ Label a ⊕ Label b))
| read a b c ia ib ic => exact inferInstanceAs (Fintype (Unit ⊕ Label a ⊕ Label b ⊕ Label c))
| loop r b ib => exact inferInstanceAs (Fintype (Unit ⊕ Label b))
def entry : (c : Command R) → Label c
| .skip | .inc _ | .dec _ | .write _ | .discard | .rewind => ()
| .seq a _ => .inl a.entry
| .test _ _ _ | .read _ _ _ | .loop _ _ => .inl ()
def code : (c : Command R) → (Label c → L) → L → Label c → Instruction R L
| .skip, _, exit, _ => .jump exit
| .inc r, _, exit, _ => .inc r exit
| .dec r, _, exit, _ => .dec r exit exit
| .write b, _, exit, _ => .write b exit
| .discard, _, exit, _ => .discard exit
| .rewind, labels, exit, _ => .back (labels ()) exit
| .seq a b, labels, _exit, .inl l =>
a.code (fun l => labels (.inl l)) (labels (.inr b.entry)) l
| .seq _a b, labels, exit, .inr l => b.code (fun l => labels (.inr l)) exit l
| .test r a b, labels, _, .inl _ =>
.test r (labels (.inr (.inl a.entry))) (labels (.inr (.inr b.entry)))
| .test _ a _, labels, exit, .inr (.inl l) =>
a.code (fun l => labels (.inr (.inl l))) exit l
| .test _ _ b, labels, exit, .inr (.inr l) =>
b.code (fun l => labels (.inr (.inr l))) exit l
| .read a b c, labels, _, .inl _ =>
.read (labels (.inr (.inl a.entry))) (labels (.inr (.inr (.inl b.entry))))
(labels (.inr (.inr (.inr c.entry))))
| .read a _ _, labels, exit, .inr (.inl l) =>
a.code (fun l => labels (.inr (.inl l))) exit l
| .read _ b _, labels, exit, .inr (.inr (.inl l)) =>
b.code (fun l => labels (.inr (.inr (.inl l)))) exit l
| .read _ _ c, labels, exit, .inr (.inr (.inr l)) =>
c.code (fun l => labels (.inr (.inr (.inr l)))) exit l
| .loop r b, labels, exit, .inl _ => .dec r (labels (.inr b.entry)) exit
| .loop _ b, labels, _, .inr l => b.code (fun l => labels (.inr l)) (labels (.inl ())) l
def incData (d : Data R) (r : R) : Data R :=
{ d with reg := Function.update d.reg r (d.reg r + 1) }
def decData (d : Data R) (r : R) : Data R :=
{ d with reg := Function.update d.reg r (d.reg r - 1) }
def readData (d : Data R) : Data R :=
{ d with input := d.input.tail, backup := d.input.take 1 ++ d.backup }
def backData (d : Data R) : Data R :=
{ d with input := d.backup.take 1 ++ d.input, backup := d.backup.tail }
def discardData (d : Data R) : Data R := {d with input := d.input.tail}
def writeData (d : Data R) (b : Bool) : Data R := { d with output := b :: d.output }
/-- Timed operational semantics. Loop termination and the number of iterations
must be proved by the caller; there is no hidden bounded-search oracle. -/
inductive Evaluates : Command R → Data R → Data R → ℕ → Prop
| skip (d) : Evaluates .skip d d 1
| inc (d r) : Evaluates (.inc r) d (incData d r) 1
| dec (d r) : Evaluates (.dec r) d (decData d r) 1
| write (d b) : Evaluates (.write b) d (writeData d b) 1
| discard (d) : Evaluates .discard d (discardData d) 1
| rewind_empty {d} : d.backup = [] → Evaluates .rewind d d 1
| rewind_cons {d e n b rest} : d.backup = b :: rest →
Evaluates .rewind (backData d) e n → Evaluates .rewind d e (1 + n)
| seq {a b d e f n m} : Evaluates a d e n → Evaluates b e f m →
Evaluates (.seq a b) d f (n + m)
| test_zero {r a b d e n} : d.reg r = 0 → Evaluates a d e n →
Evaluates (.test r a b) d e (1 + n)
| test_pos {r a b d e n} : d.reg r ≠ 0 → Evaluates b d e n →
Evaluates (.test r a b) d e (1 + n)
| read_one {a b c d e n rest} : d.input = true :: rest →
Evaluates a (readData d) e n → Evaluates (.read a b c) d e (1 + n)
| read_zero {a b c d e n rest} : d.input = false :: rest →
Evaluates b (readData d) e n → Evaluates (.read a b c) d e (1 + n)
| read_empty {a b c d e n} : d.input = [] →
Evaluates c (readData d) e n → Evaluates (.read a b c) d e (1 + n)
| loop_zero {r b d} : d.reg r = 0 → Evaluates (.loop r b) d d 1
| loop_pos {r b d e f n m} : d.reg r ≠ 0 →
Evaluates b (decData d r) e n → Evaluates (.loop r b) e f m →
Evaluates (.loop r b) d f (1 + n + m)
end Command
/-- Propagation through halt is explicit, as in the supplied TM2 support. -/
def advance (p : L → Instruction R L) : Option (Configuration R L) → Option (Configuration R L) :=
fun c => c.bind (step p)
def atCfg (l : L) (d : Data R) : Option (Configuration R L) := some ⟨d, some l⟩
def Runs (p : L → Instruction R L) (n : ℕ) (l : L) (d : Data R) (l' : L) (d' : Data R) : Prop :=
(advance p)^[n] (atCfg l d) = atCfg l' d'
theorem runs_one (p : L → Instruction R L) (l : L) (d : Data R) (l' : L) (d' : Data R)
(h : (p l).execute d = ⟨d', some l'⟩) : Runs p 1 l d l' d' := by
simpa [Runs, advance, atCfg, step] using congrArg some h
theorem Runs.trans {p : L → Instruction R L} {n m : ℕ} {l l' l'' : L} {d e f : Data R}
(h : Runs p n l d l' e) (h' : Runs p m l' e l'' f) : Runs p (n + m) l d l'' f := by
unfold Runs at *
rw [Nat.add_comm n m, Function.iterate_add_apply, h, h']
namespace Command
theorem trace {c : Command R} {d d' : Data R} {n : ℕ} (h : Evaluates c d d' n)
(p : L → Instruction R L) (labels : c.Label → L) (exit : L)
(atLabels : ∀ l, p (labels l) = c.code labels exit l) :
Runs p n (labels c.entry) d exit d' := by
induction h generalizing L with
| skip d =>
apply runs_one
rw [atLabels]; rfl
| inc d r =>
apply runs_one
rw [atLabels]; rfl
| dec d r =>
apply runs_one
rw [atLabels]
simp [code, Instruction.execute, decData]
| write d b =>
apply runs_one
rw [atLabels]; rfl
| discard d =>
apply runs_one
rw [atLabels]; rfl
| @rewind_empty d hd =>
apply runs_one
rw [atLabels]
simp [code, Instruction.execute, hd]
cases d; simp_all
| @rewind_cons d e n b rest hd he ih =>
refine Runs.trans (runs_one p _ _ _ _ ?_) (ih p labels exit atLabels)
rw [atLabels]
simp [code, entry, Instruction.execute, backData, hd]
| @seq a b d e f n m h h' ih ih' =>
exact Runs.trans
(ih p (fun l => labels (.inl l)) (labels (.inr b.entry)) (fun l => atLabels (.inl l)))
(ih' p (fun l => labels (.inr l)) exit (fun l => atLabels (.inr l)))
| @test_zero r a b d e n hr h ih =>
refine Runs.trans (runs_one p _ _ _ _ ?_) (ih p _ exit (fun l => atLabels (.inr (.inl l))))
rw [atLabels]
simp [code, entry, Instruction.execute, hr]
| @test_pos r a b d e n hr h ih =>
refine Runs.trans (runs_one p _ _ _ _ ?_) (ih p _ exit (fun l => atLabels (.inr (.inr l))))
rw [atLabels]
simp [code, entry, Instruction.execute, hr]
| @read_one a b c d e n rest hin h ih =>
refine Runs.trans (runs_one p _ _ _ _ ?_) (ih p _ exit (fun l => atLabels (.inr (.inl l))))
rw [atLabels]
simp [code, entry, Instruction.execute, readData, hin]
| @read_zero a b c d e n rest hin h ih =>
refine Runs.trans (runs_one p _ _ _ _ ?_) (ih p _ exit (fun l => atLabels (.inr (.inr (.inl l)))))
rw [atLabels]
simp [code, entry, Instruction.execute, readData, hin]
| @read_empty a b c d e n hin h ih =>
refine Runs.trans (runs_one p _ _ _ _ ?_) (ih p _ exit (fun l => atLabels (.inr (.inr (.inr l)))))
rw [atLabels]
simp [code, entry, Instruction.execute, readData, hin]
| @loop_zero r b d hr =>
apply runs_one
rw [atLabels]
simp [code, entry, Instruction.execute, hr]
rw [← hr, Function.update_eq_self]
| @loop_pos r b d e f n m hr h h' ih ih' =>
refine Runs.trans (Runs.trans (runs_one p _ _ _ _ ?_)
(ih p (fun l => labels (.inr l)) (labels (.inl ())) (fun l => atLabels (.inr l))))
(ih' p labels exit atLabels)
rw [atLabels]
simp [code, entry, Instruction.execute, decData, hr]
end Command
end OptimalMaxCut.CounterMachine
namespace OptimalMaxCut.CounterMachine
open Turing
variable {R L : Type} [DecidableEq R]
theorem advance_simulation (p : L → Instruction R L) (a : Option (Configuration R L)) :
(a.map embed).bind (TM2.step (fun l => (p l).code)) = (advance p a).map embed := by
cases a with
| none => rfl
| some c => exact step_simulation p c
theorem iterate_simulation (p : L → Instruction R L) (n : ℕ)
(a : Option (Configuration R L)) :
(fun a => a.bind (TM2.step (fun l => (p l).code)))^[n] (a.map embed) =
((advance p)^[n] a).map embed := by
induction n with
| zero => rfl
| succ n ih =>
rw [Function.iterate_succ_apply', ih, advance_simulation, Function.iterate_succ_apply']
namespace Command
abbrev FinalLabel (c : Command R) := c.Label ⊕ Unit
def finalCode (c : Command R) : c.FinalLabel → Instruction R c.FinalLabel
| .inl l => c.code Sum.inl (.inr ()) l
| .inr _ => .halt
def initial (input : List Bool) : Data R :=
⟨fun _ => 0, input, [], []⟩
noncomputable def finiteMachine [Fintype R] (c : Command R) : FinTM2 :=
machine c.finalCode (.inl c.entry)
theorem finiteMachine_initial [Fintype R] (c : Command R) (input : List Bool) :
initList c.finiteMachine input = embed ⟨initial input, some (.inl c.entry)⟩ := by
unfold initList
congr 1
funext k
cases k <;> simp [finiteMachine, machine, tapes, initial]
rfl
/-- Every derived structured evaluation is an actual finite-alphabet execution,
including the final halt transition. No arithmetic oracle is added. -/
noncomputable def machine_run [Fintype R] {c : Command R} {input : List Bool} {out : Data R} {n : ℕ}
(h : Evaluates c (initial input) out n) :
StateTransition.EvalsToInTime c.finiteMachine.step (initList c.finiteMachine input)
(some (embed ⟨out, none⟩)) (n + 1) := by
have hr := trace h c.finalCode Sum.inl (.inr ()) (fun _ => rfl)
have hi := iterate_simulation c.finalCode n (atCfg (.inl c.entry) (initial input))
have hit : (fun a : Option (Configuration R c.FinalLabel) => advance c.finalCode a)^[n + 1]
(atCfg (.inl c.entry) (initial input)) = some ⟨out, none⟩ := by
rw [Function.iterate_succ_apply', hr]
rfl
refine ⟨⟨n + 1, ?_⟩, le_rfl⟩
rw [finiteMachine_initial]
change (fun a => a.bind (TM2.step (fun l => (c.finalCode l).code)))^[n + 1]
((atCfg (.inl c.entry) (initial input)).map embed) = _
rw [iterate_simulation, hit]
rfl
theorem finiteMachine_finite_alphabet [Fintype R] (c : Command R)
(k : c.finiteMachine.K) : Finite (c.finiteMachine.Γ k) := inferInstanceAs (Finite Bool)
end Command
end OptimalMaxCut.CounterMachine
namespace OptimalMaxCut.CounterMachine
open scoped BigOperators
variable {R : Type} [DecidableEq R]
namespace Data
def set (d : Data R) (r : R) (v : ℕ) : Data R :=
{ d with reg := Function.update d.reg r v }
@[simp] theorem set_self (d : Data R) (r : R) : d.set r (d.reg r) = d := by
simp [set]
@[simp] theorem set_set (d : Data R) (r : R) (v w : ℕ) :
(d.set r v).set r w = d.set r w := by simp [set]
@[simp] theorem set_reg_same (d : Data R) (r : R) (v : ℕ) :
(d.set r v).reg r = v := by simp [set]
@[simp] theorem set_reg_ne (d : Data R) (r s : R) (v : ℕ) (h : s ≠ r) :
(d.set r v).reg s = d.reg s := by simp [set, h]
theorem set_comm (d : Data R) (r s : R) (v w : ℕ) (h : r ≠ s) :
(d.set r v).set s w = (d.set s w).set r v := by
simp only [set]
congr 1
exact Function.update_comm h v w d.reg
end Data
namespace Command
def clear (r : R) : Command R := .loop r .skip
def move (r s : R) : Command R := .loop r (.inc s)
theorem clear_evaluates (d : Data R) (r : R) :
Evaluates (clear r) d (d.set r 0) (2 * d.reg r + 1) := by
generalize hn : d.reg r = n
induction n generalizing d with
| zero =>
have hs : d.set r 0 = d := by rw [← hn, Data.set_self]
simpa [clear, hs] using (Evaluates.loop_zero (b := .skip) hn)
| succ n ih =>
have hr : d.reg r ≠ 0 := by omega
have hd : (decData d r).reg r = n := by simp [decData, hn]
have he := ih (decData d r) hd
have hf : (decData d r).set r 0 = d.set r 0 := by simp [decData, Data.set]
have ht : 1 + 1 + (2 * n + 1) = 2 * (n + 1) + 1 := by omega
simpa only [clear, hf, ht] using
(Evaluates.loop_pos hr (Evaluates.skip (decData d r)) he)
theorem move_evaluates (d : Data R) (r s : R) (hrs : r ≠ s) :
Evaluates (move r s) d ((d.set r 0).set s (d.reg s + d.reg r))
(2 * d.reg r + 1) := by
generalize hn : d.reg r = n
induction n generalizing d with
| zero =>
have hz : d.set r 0 = d := by rw [← hn, Data.set_self]
simpa [move, hz] using (Evaluates.loop_zero (b := .inc s) hn)
| succ n ih =>
have hr : d.reg r ≠ 0 := by omega
let e := incData (decData d r) s
have er : e.reg r = n := by simp [e, incData, decData, hrs, hn]
have es : e.reg s = d.reg s + 1 := by simp [e, incData, decData, Ne.symm hrs]
have he := ih e er
have hf : (e.set r 0).set s (e.reg s + n) =
(d.set r 0).set s (d.reg s + (n + 1)) := by
simp only [es]
have hc : e.set r 0 = (d.set r 0).set s (d.reg s + 1) := by
dsimp [e, incData, decData, Data.set]
congr 1
ext t
by_cases ht : t = r <;> by_cases hs : t = s <;> simp_all
rw [hc, Data.set_set]
congr 1
omega
have ht : 1 + 1 + (2 * n + 1) = 2 * (n + 1) + 1 := by omega
simpa only [move, hf, ht] using (Evaluates.loop_pos hr (Evaluates.inc (decData d r) s) he)
/-- A definite cutoff clock for an actually terminating command, not an
assumed machine-computability predicate. -/
def Within (c : Command R) (d e : Data R) (B : ℕ) : Prop :=
∃ n ≤ B, Evaluates c d e n
theorem Within.seq {a b : Command R} {d e f : Data R} {B C : ℕ}
(h : Within a d e B) (h' : Within b e f C) : Within (.seq a b) d f (B + C) := by
obtain ⟨n, hn, he⟩ := h
obtain ⟨m, hm, hf⟩ := h'
exact ⟨n + m, Nat.add_le_add hn hm, Evaluates.seq he hf⟩
theorem Within.mono {c : Command R} {d e : Data R} {B C : ℕ}
(h : Within c d e B) (hBC : B ≤ C) : Within c d e C := by
obtain ⟨n, hn, he⟩ := h
exact ⟨n, hn.trans hBC, he⟩
end Command
end OptimalMaxCut.CounterMachine
namespace OptimalMaxCut.CounterMachine
open scoped BigOperators
variable {R : Type} [DecidableEq R]
omit [DecidableEq R] in
@[ext] theorem Data.ext {d e : Data R} (hr : d.reg = e.reg)
(hi : d.input = e.input) (hb : d.backup = e.backup) (ho : d.output = e.output) : d = e := by
cases d; cases e; simp_all
namespace Command
theorem Within.loop (r : R) (b : Command R) (state : ℕ → Data R) (n B : ℕ)
(hr : ∀ i ≤ n, (state i).reg r = i)
(hb : ∀ i < n, Within b (decData (state (i+1)) r) (state i) B) :
Within (.loop r b) (state n) (state 0) (n * (B + 1) + 1) := by
induction n with
| zero => exact ⟨1, by omega, Evaluates.loop_zero (hr 0 le_rfl)⟩
| succ n ih =>
obtain ⟨a, ha, ea⟩ := hb n (by omega)
obtain ⟨b', hb', eb⟩ := ih (fun i hi => hr i (by omega)) (fun i hi => hb i (by omega))
refine ⟨1 + a + b', ?_, Evaluates.loop_pos (by rw [hr (n+1) le_rfl]; omega) ea eb⟩
nlinarith
theorem Within.inc (d : Data R) (r : R) : Within (.inc r) d (incData d r) 1 :=
⟨1, le_rfl, Evaluates.inc d r⟩
theorem Within.dec (d : Data R) (r : R) : Within (.dec r) d (decData d r) 1 :=
⟨1, le_rfl, Evaluates.dec d r⟩
theorem Within.skip (d : Data R) : Within (.skip : Command R) d d 1 :=
⟨1, le_rfl, Evaluates.skip d⟩
theorem Within.clear (d : Data R) (r : R) :
Within (clear r) d (d.set r 0) (2*d.reg r+1) :=
⟨_, le_rfl, clear_evaluates d r⟩
theorem Within.move (d : Data R) (r s : R) (h : r ≠ s) :
Within (move r s) d ((d.set r 0).set s (d.reg s+d.reg r)) (2*d.reg r+1) :=
⟨_, le_rfl, move_evaluates d r s h⟩
/-- Copy without destruction using a disjoint zeroed backup register. -/
def copy (r s t : R) : Command R :=
.seq (.loop r (.seq (.inc s) (.inc t))) (move t r)
theorem copy_evaluates (d : Data R) (r s t : R)
(hrs : r ≠ s) (hrt : r ≠ t) (hst : s ≠ t) (ht : d.reg t = 0) :
Within (copy r s t) d (d.set s (d.reg s + d.reg r)) (5*d.reg r+2) := by
let n := d.reg r
let state : ℕ → Data R := fun i => ((d.set r i).set s (d.reg s+n-i)).set t (n-i)
have hn : state n = d := by
ext u <;> simp [state, Data.set, n]
by_cases hu : u = r <;> by_cases hs : u = s <;> by_cases ht' : u = t <;> simp_all
have hloop : Within (.loop r (.seq (.inc s) (.inc t))) (state n) (state 0) (n*3+1) := by
apply Within.loop r _ state n 2
· intro i hi; simp [state, Data.set, hrs, hrt]
· intro i hi
have he := (Within.inc (decData (state (i+1)) r) s).seq
(Within.inc (incData (decData (state (i+1)) r) s) t)
have hout : incData (incData (decData (state (i+1)) r) s) t = state i := by
ext u <;> simp only [incData, decData, state, Data.set]
by_cases hu : u = r <;> by_cases hs : u = s <;> by_cases ht' : u = t <;>
simp [hu, hs, ht', hrs, hrt, hst, Ne.symm hrs, Ne.symm hrt, Ne.symm hst] <;> omega
simpa only [hout] using he
rw [hn] at hloop
have hm := Within.move (state 0) t r (Ne.symm hrt)
have hout : ((state 0).set t 0).set r ((state 0).reg r + (state 0).reg t) =
d.set s (d.reg s + d.reg r) := by
ext u <;> simp only [state, Data.set]
by_cases hu : u = r <;> by_cases hs : u = s <;> by_cases ht' : u = t <;>
simp [hu, hs, ht', hrs, hrt, hst, Ne.symm hrs, Ne.symm hrt, Ne.symm hst, ht, n]
have ht' : (state 0).reg t = n := by simp [state, Data.set]
have h := hloop.seq hm
rw [hout, ht'] at h
convert h using 1 <;> dsimp [copy, n] ; omega
def mulAdd (count source target backup : R) : Command R :=
.loop count (copy source target backup)
theorem mulAdd_evaluates (d : Data R) (c r s t : R)
(hcr : c ≠ r) (hcs : c ≠ s) (hct : c ≠ t)
(hrs : r ≠ s) (hrt : r ≠ t) (hst : s ≠ t) (ht : d.reg t = 0) :
Within (mulAdd c r s t) d ((d.set c 0).set s (d.reg s+d.reg c*d.reg r))
(d.reg c*(5*d.reg r+3)+1) := by
let n := d.reg c
let state : ℕ → Data R := fun i => (d.set c i).set s (d.reg s+(n-i)*d.reg r)
have hn : state n = d := by
simp [state, n]
have hloop : Within (.loop c (copy r s t)) (state n) (state 0)
(n*(5*d.reg r+3)+1) := by
apply Within.loop c _ state n (5*d.reg r+2)
· intro i hi; simp [state, Data.set, hcs]
· intro i hi
have hr' : (decData (state (i+1)) c).reg r = d.reg r := by
simp [state, decData, Data.set, Ne.symm hcr, hrs]
have ht' : (decData (state (i+1)) c).reg t = 0 := by
simp [state, decData, Data.set, Ne.symm hct, Ne.symm hst, ht]
have h := copy_evaluates (decData (state (i+1)) c) r s t hrs hrt hst ht'
rw [hr'] at h
have hout : (decData (state (i+1)) c).set s
((decData (state (i+1)) c).reg s + d.reg r) = state i := by
have hh : (n-(i+1))*d.reg r+d.reg r = (n-i)*d.reg r := by
have : n-i = n-(i+1)+1 := by omega
rw [this, Nat.add_mul, Nat.one_mul]
ext u <;> simp only [decData, state, Data.set]
by_cases hu : u = c <;> by_cases hs : u = s <;>
simp [hu, hs, hcs, Ne.symm hcs, Nat.add_assoc] ; omega
simpa only [hout] using h
simpa [mulAdd, hn, state, n] using hloop
end Command
end OptimalMaxCut.CounterMachine
end
end OAI