openAI-math-dataset / lean /ComparatorChallenges /LogspaceEquality.lean
roseking's picture
Sync from openai/math@faee2cf485a8 (part 2)
f2887ca verified
Raw History Blame Contribute Delete
4.68 kB
import Mathlib
namespace OAI
/-! Exact logarithmic-space derandomization for finite transition-table machines. -/
namespace ExactDerandomization
abbrev Word := List Bool
abbrev Language := Set Word
abbrev CoinTape := ℕ → Bool
inductive Direction where
| left | stay | right
deriving DecidableEq
inductive InputSymbol where
| leftMarker | bit (b : Bool) | rightMarker
deriving DecidableEq
def Direction.move (d : Direction) (z : ℤ) : ℤ :=
match d with
| .left => z - 1
| .stay => z
| .right => z + 1
def Direction.moveInput (d : Direction) {n : ℕ} (i : Fin (n + 2)) : Fin (n + 2) :=
match d with
| .left => ⟨i.val - 1, lt_of_le_of_lt (Nat.sub_le _ _) i.isLt⟩
| .stay => i
| .right => ⟨min (i.val + 1) (n + 1), by omega⟩
def readInput (x : Word) (i : Fin (x.length + 2)) : InputSymbol :=
if i.val = 0 then .leftMarker else
match x[i.val - 1]? with
| some b => .bit b
| none => .rightMarker
structure Action (q w h : ℕ) where
nextState : Fin (q + 1)
write : Fin w → Bool
workMove : Fin w → Direction
inputMove : Fin h → Direction
structure Machine (q w h : ℕ) where
initialState : Fin (q + 1)
output : Fin (q + 1) → Option Bool
transition : Fin (q + 1) → (Fin h → InputSymbol) → (Fin w → Bool) → Bool →
Action q w h
structure Configuration (q w h n : ℕ) where
state : Fin (q + 1)
inputPos : Fin h → Fin (n + 2)
workPos : Fin w → ℤ
work : Fin w → ℤ → Bool
namespace Machine
variable {q w h : ℕ}
def initial (M : Machine q w h) (n : ℕ) : Configuration q w h n where
state := M.initialState
inputPos := fun _ => ⟨0, by omega⟩
workPos := fun _ => 0
work := fun _ _ => false
def step (M : Machine q w h) (x : Word) (b : Bool)
(c : Configuration q w h x.length) : Configuration q w h x.length :=
match M.output c.state with
| some _ => c
| none =>
let a := M.transition c.state (fun j => readInput x (c.inputPos j))
(fun k => c.work k (c.workPos k)) b
{ state := a.nextState
inputPos := fun j => (a.inputMove j).moveInput (c.inputPos j)
workPos := fun k => (a.workMove k).move (c.workPos k)
work := fun k => Function.update (c.work k) (c.workPos k) (a.write k) }
def run (M : Machine q w h) (x : Word) (coins : CoinTape) :
ℕ → Configuration q w h x.length
| 0 => M.initial x.length
| t + 1 => M.step x (coins t) (M.run x coins t)
def spaceThrough (M : Machine q w h) (x : Word) (coins : CoinTape) (t : ℕ) : ℕ :=
∑ k : Fin w, ((Finset.range (t + 1)).image
(fun s => (M.run x coins s).workPos k)).card
def LogSpace (M : Machine q w h) : Prop :=
∃ c : ℕ, 0 < c ∧ ∀ (x : Word) (coins : CoinTape) (t : ℕ),
M.spaceThrough x coins t ≤ c * Nat.clog 2 (x.length + 2)
def Deterministic (M : Machine q w h) : Prop :=
∀ s i v, M.transition s i v false = M.transition s i v true
def HaltsBy (M : Machine q w h) (x : Word) (t : ℕ) : Prop :=
∀ coins : CoinTape, ∃ b : Bool, M.output (M.run x coins t).state = some b
def Decides (M : Machine q w h) (A : Language) : Prop :=
∀ x : Word, ∃ (t : ℕ) (b : Bool),
(b = true ↔ x ∈ A) ∧ ∀ coins : CoinTape,
M.output (M.run x coins t).state = some b
def extendCoins {t : ℕ} (bits : Fin t → Bool) : CoinTape :=
fun s => if hs : s < t then bits ⟨s, hs⟩ else false
def acceptanceProbability (M : Machine q w h) (x : Word) (t : ℕ) : ℚ :=
((Finset.univ.filter (fun bits : Fin t → Bool =>
M.output (M.run x (extendCoins bits) t).state = some true)).card : ℚ) /
(2 : ℚ) ^ t
end Machine
def polynomialClock (c k n : ℕ) : ℕ := c * (n + 2) ^ k
def L : Set Language :=
{A | ∃ (q w h : ℕ) (M : Machine q w h),
M.Deterministic ∧ M.LogSpace ∧ M.Decides A}
def RL : Set Language :=
{A | ∃ (q w h : ℕ) (M : Machine q w h),
M.LogSpace ∧ ∃ (c k : ℕ), 0 < c ∧ ∀ x : Word,
M.HaltsBy x (polynomialClock c k x.length) ∧
(x ∈ A → (1 / 2 : ℚ) ≤ M.acceptanceProbability x
(polynomialClock c k x.length)) ∧
(x ∉ A → M.acceptanceProbability x (polynomialClock c k x.length) = 0)}
def BPL : Set Language :=
{A | ∃ (q w h : ℕ) (M : Machine q w h),
M.LogSpace ∧ ∃ (c k : ℕ), 0 < c ∧ ∀ x : Word,
M.HaltsBy x (polynomialClock c k x.length) ∧
(x ∈ A → (2 / 3 : ℚ) ≤ M.acceptanceProbability x
(polynomialClock c k x.length)) ∧
(x ∉ A → M.acceptanceProbability x (polynomialClock c k x.length) ≤ (1 / 3 : ℚ))}
theorem exact_logarithmic_space_derandomization :
L = RL ∧ RL = BPL := by
sorry
end ExactDerandomization
end OAI