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Add lean source and binary files (part 47)
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import OAI.Combinatorics.LowSpaceSubsetSum.Word.WordTuple
namespace OAI
/-! # Finite fair-word streams realize the sequential operational law -/
noncomputable section
namespace LowSpaceSubsetSum.WordProgram
open scoped BigOperators
variable {w : ℕ} {α : Type}
def finiteStream {N : ℕ} (words : Fin N → Fin (2^w)) (i : ℕ) : Fin (2^w) :=
if h : i < N then words ⟨i,h⟩ else 0
theorem run_shift (stream : ℕ → Fin (2^w)) (p : Program w α) (offset k : ℕ) :
run stream p (offset+k) =
let out := run (fun i => stream (i+k)) p offset
(out.1,out.2+k) := by
induction p generalizing offset with
| pure a => rfl
| draw branch ih =>
simp only [run]
simpa only [Nat.add_assoc, Nat.add_comm k 1, Nat.add_left_comm] using
ih (stream (offset+k)) (offset+1)
theorem finiteStream_cons (x : Fin (2^w)) {N : ℕ} (xs : Fin N → Fin (2^w)) :
(fun i => finiteStream (Fin.cons x xs) (i+1)) = finiteStream xs := by
funext i
unfold finiteStream
by_cases h : i < N
· simp only [show i+1 < N+1 by omega, ↓reduceDIte, h]
change Fin.cons (n := N) (α := fun _ => Fin (2^w)) x xs (Fin.succ ⟨i,h⟩) = xs ⟨i,h⟩
rfl
· simp only [show ¬i+1 < N+1 by omega, ↓reduceDIte, h]
theorem draw_cons_value (branch : Fin (2^w) → Program w α) {N : ℕ}
(x : Fin (2^w)) (xs : Fin N → Fin (2^w)) :
(run (finiteStream (Fin.cons x xs)) (.draw branch) 0).1 =
(run (finiteStream xs) (branch x) 0).1 := by
have hzero : finiteStream (Fin.cons x xs) 0 = x := by
simp [finiteStream]
simp only [run, hzero, Nat.zero_add]
have h := congrArg Prod.fst (run_shift (finiteStream (Fin.cons x xs)) (branch x) 0 1)
simpa only [Nat.zero_add, finiteStream_cons] using h
theorem run_expectation (p : Program w α) (N : ℕ) (hp : Bounded p N) (f : α → ℝ) :
expectation p f = (FiniteLaw.uniform : FiniteLaw (Fin N → Fin (2^w))).expectation
(fun words => f (run (finiteStream words) p 0).1) := by
induction hp with
| pure a N =>
simp only [expectation, run, FiniteLaw.expectation, ← Finset.sum_mul,
FiniteLaw.total, one_mul]
| draw branch N hb ih =>
rw [WordTuple.cons_expectation]
simp only [expectation, draw_cons_value, ih]
theorem run_probability (p : Program w α) (N : ℕ) (hp : Bounded p N) (P : α → Prop) :
probability p P = (FiniteLaw.uniform : FiniteLaw (Fin N → Fin (2^w))).probability
(fun words => P (run (finiteStream words) p 0).1) := by
rw [probability, run_expectation p N hp, FiniteLaw.probability_eq_expectation]
end LowSpaceSubsetSum.WordProgram
end
end OAI