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namespace OAI
/-!
Uniform numerical encodings and finite configuration graphs of randomized machines.
From OpenAI, *Exact Derandomization of Logarithmic Space: L = RL = BPL*.
-/
set_option autoImplicit true
section
/-! Configuration reduction: numerical encoding.
Positions on work tapes represented relatively, by two binary stacks. Absolute
head positions are not observed by the machine; space bounds on the original
run give polynomial bounds on these relative encodings.
-/
namespace ExactDerandomization.Base
abbrev front (n : ℕ) : Bool := decide (n%2=1)
def push (b : Bool) (n : ℕ) : ℕ := (if b then 1 else 0)+2*n
@[simp] lemma push_front (n : ℕ) : push (front n) (n/2) = n := by
simp only [push,front,decide_eq_true_eq]; split <;> omega
@[simp] lemma front_push (n : ℕ) (b : Bool) : front (push b n)=b := by
unfold push; cases b <;> simp [front,Nat.mul_comm 2]
@[simp] lemma div_push (n : ℕ) (b : Bool) : push b n/2=n := by
unfold push; split <;> omega
def bit : ℕ → ℕ → Bool
| a,0 => front a
| a,k+1 => bit (a/2) k
lemma bit_push (n k : ℕ) (b : Bool) : bit (push b n) (k+1)=bit n k := by rw [bit,div_push]
lemma bit_zero (k : ℕ) : bit 0 k=false := by induction k <;> simp_all [bit,front]
abbrev Zip := ℕ × ℕ
def Zip.act (a : Zip) (b : Bool) : Direction → Zip
| .stay => (a.1,push b (a.2/2))
| .right => (push b a.1,a.2/2)
| .left => (a.1/2,push (front a.1) (push b (a.2/2)))
/-- Right stack includes current cell. -/
def Zipped (w : ℤ → Bool) (z : ℤ) (A : Zip) :=
(∀ j : ℕ, bit A.1 j = w (z-1-j)) ∧
(∀ j : ℕ, bit A.2 j = w (z+j))
lemma Zipped.read {w z A} (h : Zipped w z A) : front A.2=w z := by simpa [bit] using h.2 0
lemma upd_ne (w : ℤ → Bool) (b) (z z' y : ℤ) (e : z'≠z) (h : z'=y) :
Function.update w z b z' = w y := by simp [e,← h]
lemma Zipped.move {w z A} (h : Zipped w z A) (b : Bool) (d : Direction) :
Zipped (Function.update w z b) (d.move z) (A.act b d) := by
obtain ⟨hl,hr⟩ := h
cases d with
| stay =>
dsimp [Zipped,Direction.move,Zip.act]
constructor
· intro j; rw [hl, upd_ne w b z _ _ (by omega) rfl]
· intro j
cases j with
| zero => simp [bit]
| succ j => rw [bit_push,← bit,hr,upd_ne w b z _ _ (by omega) rfl]
| right =>
dsimp [Zipped,Direction.move,Zip.act]
constructor
· intro j
cases j with
| zero => simp [bit]
| succ j =>
rw [bit_push,hl,upd_ne w b z _ (z-1-j) (by omega) (by omega)]
· intro j; rw [← bit,hr,upd_ne w b z _ _ (by omega) (show z+1+j=z+(↑(j+1):ℤ) by omega)]
| left =>
dsimp [Zipped,Direction.move,Zip.act]
constructor
· intro j
rw [← bit,hl,upd_ne w b z _ _ (by omega)
(show z-1-1-j=z-1-↑(j+1) by omega)]
· intro j
cases j with
| zero =>
have e := hl 0
simp only [bit,Nat.cast_zero,sub_zero] at e
simp [bit,e]
| succ j =>
cases j with
| zero => simp [bit]
| succ j =>
rw [bit_push,bit_push, ← bit,hr,upd_ne w b z _ _ (by omega)
(show z-1+↑(j+1+1)=z+↑(j+1) by omega)]
lemma trunc_bits (m n : ℕ) (h : ∀ j, m≤j → bit n j=false) : n<2^m := by
induction m generalizing n with
| zero =>
induction n using Nat.strong_induction_on with
| h n ih =>
by_cases e : n=0
· simp [e]
have he := ih (n/2) (by omega) (fun j _=> h (j+1) (by omega))
have ht := h 0 (by omega)
simp [bit,front] at ht; simp at he; simp; omega
| succ m ih =>
have he := ih (n/2) (fun j e=> h (j+1) (by omega))
rw [pow_succ]; omega
lemma Zipped.bound {w z A} {s : ℕ} (h : Zipped w z A)
(hp : |z| ≤ (s:ℤ)) (hh : ∀ v, (s:ℤ) < |v| → w v=false) :
A.1<2^(2*s+1) ∧ A.2<2^(2*s+1) := by
rw [abs_le] at hp
constructor <;> apply trunc_bits <;> intro j hj
· rw [h.1, hh]; rw [lt_abs]; omega
· rw [h.2, hh]; rw [lt_abs]; omega
lemma Zip.unique {A A' : Zip} {b b' : Bool} {d : Direction}
(h : front A.2=front A'.2)
(e : A.act b d=A'.act b' d) : A=A' := by
have H : ∀ (z w : ℕ), front z=front w → z/2=w/2 → z=w := by
intro z w h h'
rw [← push_front z,h,h',push_front]
cases d <;> simp only [Zip.act,Prod.mk.injEq] at e
·
apply Prod.ext
· exact H _ _ (by simpa using congrArg front e.2) e.1
· apply H _ _ h
simpa using congrArg (fun a : ℕ => a/2/2) e.2
· exact Prod.ext e.1 (H _ _ h (by simpa using congrArg (fun a : ℕ=>a/2) e.2))
· exact Prod.ext (by simpa using congrArg (fun a : ℕ=>a/2) e.1) (H _ _ h e.2)
end ExactDerandomization.Base
end
section
namespace ExactDerandomization.Base
/-- Record of numeric registers (time separate from rest). -/
@[ext] structure R (w h : ℕ) where
tm : ℕ
st : ℕ
inp : Fin h → ℕ
tapes : Fin w → Zip
namespace R
variable {q w h : ℕ} (M : Machine q w h)
def state (A : R w h) (q : ℕ) : Fin (q+1) := ⟨A.st%(q+1), Nat.mod_lt _ (by omega)⟩
def out (A : R w h) : Option Bool := M.output (A.state q)
def minput (x : Word) (i : ℕ) : Direction → ℕ
| .stay => i
| .left => i-1
| .right => if i<x.length+1 then i+1 else i
lemma minput_fin (x : Word) (i : Fin (x.length+2)) (d : Direction) :
minput x i d = (d.moveInput i).val := by
cases d <;> simp [minput, Direction.moveInput]
split <;> omega
def action (A : R w h) (x : Word) (b : Bool) : Action q w h :=
match A.out M with
| none => M.transition (A.state q) (fun i=> Counter.scan x (A.inp i))
(fun i=> front (A.tapes i).2) b
| some _ => ⟨A.state q,fun i=> front (A.tapes i).2,fun _=>.stay,fun _=>.stay⟩
def step (A : R w h) (x : Word) (b : Bool) : R w h :=
let u := A.action M x b
{ tm := A.tm+1
st := u.nextState
inp := fun j=> minput x (A.inp j) (u.inputMove j)
tapes := fun k=> (A.tapes k).act (u.write k) (u.workMove k) }
def start : R w h := ⟨0,M.initialState.val,fun _=>0, fun _=>(0,0)⟩
def runs (x : Word) (coins : CoinTape) : ℕ → R w h
| 0 => start M
| t+1 => step M (runs x coins t) x (coins t)
variable {M}
structure OK {n : ℕ} (t : ℕ) (A : R w h) (c : Configuration q w h n) : Prop where
tm : A.tm=t
st : A.st=c.state.val
inp (i : Fin h) : A.inp i = (c.inputPos i).val
tapes (k : Fin w) : Zipped (c.work k) (c.workPos k) (A.tapes k)
lemma OK.state {x : Word} {t A} {c : Configuration q w h x.length} (hc : OK t A c) :
A.state q = c.state := by ext; simp [R.state,hc.st,Nat.mod_eq_of_lt c.state.isLt]
lemma OK.next {x : Word} {t A} {c : Configuration q w h x.length} (hc : OK t A c)
(b : Bool) :
OK (t+1) (A.step M x b) (M.step x b c) := by
have hs : A.state q = c.state := hc.state (x:=x)
cases hb : M.output c.state with
| some v =>
have he : M.step x b c=c := by simp [Machine.step,hb]
rw [he]; constructor
· simp [step,hc.tm]
· simp [step,action,out,hs,hb]
· simp [step,action,out,hs,hb,minput,hc.inp]
· intro k; simpa [step,action,out,hs,hb,Zip.act] using hc.tapes k
| none =>
let u := M.transition c.state (fun i => readInput x (c.inputPos i))
(fun k=> c.work k (c.workPos k)) b
have he : A.action M x b=u := by
have hh (k) := Zipped.read (hc.tapes k)
simp [R.action,out,u,hs,hb,hc.inp,hh]
constructor
· simp [step,hc.tm]
· simp [step,he,u,Machine.step,hb]
· intro i
simp only [step,he,hc.inp,minput_fin, Machine.step,hb]; rfl
· intro i
simp only [step,he,Machine.step,hb]
exact (hc.tapes i).move (u.write i) (u.workMove i)
variable (M)
lemma runs_OK (x : Word) (coins : CoinTape) (t) :
OK t (runs M x coins t) (M.run x coins t) := by
induction t with
| zero =>
constructor
· rfl
· rfl
· intro i; rfl
· intro k; exact ⟨bit_zero,bit_zero⟩
| succ t ih => exact ih.next _
lemma runs_out (x : Word) (coins : CoinTape) (t) :
(runs M x coins t).out M = M.output (M.run x coins t).state := by
rw [out,(runs_OK M x coins t).state]
/-- Work within radix, one chosen polynomial in n. cs: space coefficient,
k,e time coefficient/exponent. -/
def radix (q cs k e n : ℕ) : ℕ := q+2 + polynomialClock k e n +
(n+2) + 2*(2*(n+2))^(2*cs)
lemma radix_pos (q cs k e n : ℕ) : 0<radix q cs k e n := by unfold radix; positivity
def Small (A : R w h) (m : ℕ) :=
A.tm < m ∧ A.st < m ∧ (∀ i, A.inp i < m) ∧ (∀ i, (A.tapes i).1 < m ∧ (A.tapes i).2 < m)
lemma runs_small (x : Word) (coins : CoinTape) {cs k e : ℕ}
(ht : ∀ t, M.spaceThrough x coins t ≤ cs * Nat.clog 2 (x.length+2))
{t : ℕ} (he : t ≤ polynomialClock k e x.length) :
(runs M x coins t).Small (radix q cs k e x.length) := by
let n := x.length
have ok := runs_OK M x coins t
simp only [Small, ok.tm, ok.st, ok.inp, radix]
refine ⟨by omega, by have := (M.run x coins t).state.isLt; omega, ?_, ?_⟩
· intro i; have := ((M.run x coins t).inputPos i).isLt; omega
· intro i
let s := cs * Nat.clog 2 (n+2)
have hv := @Zipped.bound ( (M.run x coins t).work i) _ _ s (ok.tapes i)
(le_trans (M.workPos_abs_le_space x coins t i)
(show (M.spaceThrough x coins t : ℤ) ≤ (s:ℤ) by exact_mod_cast ht t))
(M.work_eq_false_outside ht t i)
have hz : 2^(2*s+1) ≤ 2*(2*(x.length+2))^(2*cs) := by
have e : 2*s=Nat.clog 2 (n+2)*(2*cs) := by dsimp [s]; ring
rw [e,pow_succ,pow_mul,Nat.mul_comm _ 2]
exact Nat.mul_le_mul_left 2 (Nat.pow_le_pow_left (two_pow_clog_le _) _)
omega
lemma minput_range (x : Word) (i : ℕ) (d : Direction) :
i ≤ minput x i d + 1 ∧ minput x i d ≤ i+1 := by
cases d <;> dsimp [minput] <;> grind
/-- Step source determinable from destination and bounded side information. -/
abbrev Hint (q w h : ℕ) := Bool × Fin (q+1) × (Fin h → Fin 3) × (Fin w → Bool)
def hint (A : R w h) (q : ℕ) (b : Bool) : Hint q w h :=
(b,A.state q,fun i=> ⟨A.inp i%3,by omega⟩, fun k=> front (A.tapes k).2)
lemma step_inj (x : Word) (A A' : R w h) (b b' : Bool)
(hk : A.step M x b=A'.step M x b') (hh : A.hint q b=A'.hint q b')
(h : A.st<q+1) (h' : A'.st<q+1) : A=A' := by
simp only [hint,Prod.mk.injEq] at hh
obtain ⟨rfl,hst,hin,hq⟩ := hh
have he : A.inp=A'.inp := by
funext i
have hv := congrFun (congrArg R.inp hk) i
have hm := congrArg Fin.val (congrFun hin i)
simp only [step] at hv
have hs := minput_range x (A.inp i) ((A.action M x b).inputMove i)
have ht := minput_range x (A'.inp i) ((A'.action M x b).inputMove i)
dsimp only at hm
omega
have ha : A.action M x b=A'.action M x b := by rw [action,action,out,out,hst,he,hq]
refine R.ext ?_ ?_ he ?_
· have H := congrArg R.tm hk; simp [step] at H; exact H
· simpa [R.state,Nat.mod_eq_of_lt h,Nat.mod_eq_of_lt h'] using congrArg Fin.val hst
· funext i
have hv := congrFun (congrArg tapes hk) i
simp only [step,ha] at hv
exact Zip.unique (congrFun hq i) hv
end R
end ExactDerandomization.Base
end
section
namespace ExactDerandomization.Base
abbrev Vec (w : ℕ) := Fin w → ℕ
def wrap (m : ℕ) (a z : ℕ) := a+m*z
def enc (m : ℕ) (z : ℕ) : {d : ℕ} → Vec d → ℕ
| 0,_ => z
| d+1,f => wrap m (f 0) (enc m z (fun i : Fin d => f i.succ))
def dec (m : ℕ) : (d z : ℕ) → Vec d
| 0, _ => Fin.elim0
| d+1,z => Fin.cons (z%m) (dec m d (z/m))
def upper (m : ℕ) : (d z : ℕ) → ℕ
| 0,z => z
| d+1,z => upper m d (z/m)
lemma wrap_lo {m a z} (h : a < m) : wrap m a z % m = a := by
rw [wrap, Nat.add_mul_mod_self_left,Nat.mod_eq_of_lt h]
lemma wrap_hi {m a z} (h : a < m) : wrap m a z / m = z := by
rw [wrap,Nat.add_mul_div_left _ _ (by omega),Nat.div_eq_of_lt h, Nat.zero_add]
lemma enc_dec (m d z : ℕ) : enc m (upper m d z) (dec m d z) = z := by
induction d generalizing z with
| zero => rfl
| succ d ih =>
simp only [enc, upper,dec,Fin.cons_zero,Fin.cons_succ,ih,wrap, Nat.mod_add_div]
lemma dec_enc (m z : ℕ) {d : ℕ} (v : Vec d) (h : ∀ i, v i < m) :
dec m d (enc m z v) = v ∧ upper m d (enc m z v) = z := by
induction d with
| zero => exact ⟨funext (fun i => Fin.elim0 i),rfl⟩
| succ d ih =>
obtain ⟨e,e'⟩ := ih (fun i=>v i.succ) (fun i=>h _)
simp [enc,dec,upper,wrap_lo (h 0),wrap_hi (h 0),e,e']
funext i; refine Fin.cases ?_ ?_ i <;> simp
lemma upper_le {a b} (m d) (h : a≤b) : upper m d a ≤ upper m d b := by
induction d generalizing a b with
| zero => exact h
| succ d ih => exact ih (Nat.div_le_div_right h)
lemma wrap_bound {m a z k} (h : a < m) (e : z<k) : wrap m a z < m*k := by
unfold wrap
nlinarith
lemma enc_bound {m z k d} (e : z<k) (v : Vec d) (h : ∀ i, v i < m) :
enc m z v < m^d * k := by
induction d with
| zero => simpa [enc] using e
| succ d ih =>
calc enc m z v < m*(m^d*k) := wrap_bound (h _) (ih _ (fun i=>h _))
_ = _ := by ring
namespace R
variable {w h : ℕ}
def id (A : R w h) (m : ℕ) :=
enc m (enc m (enc m (wrap m A.st A.tm) A.inp) fun i=> (A.tapes i).1) fun i => (A.tapes i).2
def recov (w h : ℕ) (m n : ℕ) : R w h :=
let n1 := upper m w n
let n2 := upper m w n1
let n3 := upper m h n2
{tm:= n3/m
st:= n3%m
inp:= dec m h n2
tapes:= fun i=> (dec m w n1 i,dec m w n i)}
lemma id_recov (m w h n) :
(recov w h m n).id m = n := by
unfold id recov wrap
simp only [Nat.mod_add_div, enc_dec]
lemma recov_id {A : R w h} {m} (he : A.Small m) : recov w h m (A.id m)=A := by
obtain ⟨_,hs,hi,ht⟩ := he
have hl (z : ℕ) := dec_enc m z (fun i=> (A.tapes i).1) (fun i=> (ht i).1)
have hr (z : ℕ) := dec_enc m z (fun i=> (A.tapes i).2) (fun i=> (ht i).2)
have hin (z : ℕ) := dec_enc m z A.inp hi
simp only [id, recov,(hr _).2,(hl _).2,(hin _).2,(hr _).1,(hl _).1,
(hin _).1,wrap_hi hs,wrap_lo hs]
def total (w h m : ℕ) := m^w * (m^w * (m^h*(m*m)))
lemma id_lt {A : R w h} {m} (he : A.Small m) :
A.id m < total w h m :=
enc_bound (enc_bound (enc_bound (wrap_bound he.2.1 he.1)
_ he.2.2.1) _ fun i=>(he.2.2.2 i).1) _ fun i=>(he.2.2.2 i).2
lemma recov_mono (m w h) (a b) (he : a≤b) :
(recov w h m a).tm ≤ (recov w h m b).tm :=
Nat.div_le_div_right (upper_le _ _ (upper_le _ _ (upper_le _ _ he)))
end R
end ExactDerandomization.Base
end
section
namespace ExactDerandomization.Base
/-- Source machines with supplied polynomial clock parameters (need not
be positive for building the graph) and controller space coefficient.
Semantics will justify these externally. -/
structure Source (q w h : ℕ) where
mach : Machine q w h
cs : ℕ
c : ℕ
k : ℕ
namespace Source
variable {q w h : ℕ} (P : Source q w h)
def clock (x : Word) := polynomialClock P.c P.k x.length
def mrad (x : Word) := R.radix q P.cs P.c P.k x.length
def size (x : Word) := R.total w h (P.mrad x)
def dom (x : Word) := Finset.range (P.size x)
def row (x : Word) (n : ℕ) := R.recov w h (P.mrad x) n
def ident (x : Word) (A : R w h) := R.id A (P.mrad x)
def first (x : Word) := P.ident x (R.start P.mach)
instance decSmall (A : R w h) (m) : Decidable (A.Small m) := by unfold R.Small; infer_instance
def legal (x : Word) (A : R w h) : Prop := A.Small (P.mrad x) ∧ A.st < q+1
instance decLegal (x : Word) (A : R w h) : Decidable (P.legal x A) :=
inferInstanceAs (Decidable (_ ∧ _))
def fin (x : Word) (n : ℕ) : Bool :=
decide (P.legal x (P.row x n) ∧ (P.row x n).tm = P.clock x ∧
(P.row x n).out P.mach = some true)
def next (x : Word) (n : ℕ) (b : Bool) : Option ℕ :=
let a := P.row x n
let v := a.step P.mach x b
if P.legal x a ∧ a.tm < P.clock x ∧ P.legal x v then some (P.ident x v)
else none
def reward (x : Word) (n : ℕ) : ℚ := if P.fin x n then 1 else 0
def edge (x : Word) (n j : ℕ) : ℕ :=
(if P.next x n false=some j then 1 else 0)+(if P.next x n true=some j then 1 else 0)
def S (x : Word) (n j : ℕ) : ℚ := P.edge x n j / (2:ℚ)
lemma steps_to {x n b y} (h : P.next x n b = some y) :
P.legal x (P.row x n) ∧ (P.row x n).tm<P.clock x ∧ P.legal x (P.row x y) ∧
(P.row x n).step P.mach x b=P.row x y := by
dsimp only [next] at h; split at h
· rename_i he
obtain rfl := Option.some.inj h
unfold row at he
simp only [row,ident, R.recov_id he.2.2.1]; exact ⟨he.1,he.2.1,he.2.2,trivial⟩
· simp at h
lemma mem {x n} (h : P.legal x (P.row x n)) : n ∈ P.dom x := by
have e := R.id_lt h.1
simp only [row,R.id_recov] at e; exact Finset.mem_range.mpr e
lemma forward {x n b y} (e : P.next x n b = some y) : n < y := by
by_contra! hy
have hm := R.recov_mono (P.mrad x) w h y n hy
have hk := congrArg R.tm (P.steps_to e).2.2.2
simp only [row,R.step] at hk; omega
lemma S_nonneg (x n j) : 0≤ P.S x n j := by unfold S; positivity
lemma S_le (x n j) : P.S x n j ≤ 1 := by unfold S edge; split <;> split <;> norm_num
lemma S_pos {x n j} :
0<P.S x n j ↔ P.next x n false=some j ∨ P.next x n true=some j := by
unfold S edge; split <;> split <;> simp_all
def payoff (f : ℕ → ℚ) (p : Option ℕ) : ℚ := p.elim 0 f
def avg (x : Word) (n : ℕ) (f : ℕ → ℚ) : ℚ :=
(payoff f (P.next x n false) + payoff f (P.next x n true)) / 2
open Finset
lemma avg_S (x n) (f) :
P.avg x n f = ∑ j ∈ P.dom x, P.S x n j * f j := by
let term (b : Bool) j : ℚ := if P.next x n b= some j then f j/2 else 0
have he (b : Bool) : payoff f (P.next x n b)/2=∑ j∈P.dom x,term b j := by
cases h : P.next x n b with
| none => simp [term,payoff,h]
| some j => simp [term,payoff,h,P.mem (P.steps_to h).2.2.1]
have hk (j) : P.S x n j * f j= term false j + term true j := by
unfold S edge term; split <;> split <;> norm_num <;> ring
simp [avg,add_div,he,hk,sum_add_distrib]
lemma S_sub (x n) : ∑ j ∈ P.dom x, P.S x n j ≤ 1 := by
have h := P.avg_S x n (fun _=>1)
simp at h
rw [← h]; unfold avg
cases P.next x n false <;> cases P.next x n true <;> norm_num [payoff]
lemma dead {x n} (e : P.fin x n=true) (b) : P.next x n b = none := by
simp only [fin,decide_eq_true_eq] at e
simp [next,e.2.1]
lemma out_degree (x n) :
((P.dom x).filter (fun j=>0<P.S x n j)).card ≤ 2 := by
let f (b : Bool) := (P.next x n b).getD 0
have he : (P.dom x).filter (fun j=>0<P.S x n j) ⊆ Finset.univ.image f := by
intro j h
obtain a|a := (S_pos P).1 (Finset.mem_filter.1 h).2
· exact Finset.mem_image.2 ⟨false, Finset.mem_univ _,by simp [f,a]⟩
· exact Finset.mem_image.2 ⟨true, Finset.mem_univ _,by simp [f,a]⟩
exact le_trans (Finset.card_le_card he) (by
simpa only [Finset.card_univ,Fintype.card_bool] using Finset.card_image_le (s:=Finset.univ) (f:=f))
lemma in_degree (x y) :
((P.dom x).filter (fun n=>0<P.S x n y)).card ≤ Fintype.card (R.Hint q w h) := by
classical
let v := (P.dom x).filter (fun n=>0<P.S x n y)
change v.card ≤ _
let b n : Bool := if P.next x n true=some y then true else false
have hs (n) (hn : n∈v) : P.next x n (b n)=some y := by
have hv := P.S_pos.1 (Finset.mem_filter.1 hn).2
dsimp only [b]; split <;> grind
let code (n : ↥v) := (P.row x n.val).hint q (b n.val)
have hi : Function.Injective code := by
intro n m he
have hn := P.steps_to (hs n n.prop)
have hm := P.steps_to (hs m m.prop)
have e := R.step_inj P.mach x _ _ _ _ (hn.2.2.2.trans hm.2.2.2.symm) he hn.1.2 hm.1.2
apply Subtype.ext
simpa only [row, ident,R.id_recov] using congrArg (P.ident x) e
simpa using Fintype.card_le_of_injective _ hi
/-- potential via bounded recursion. -/
def potential (x : Word) : ℕ → ℕ → ℚ
| 0 => P.reward x
| k+1 => fun n=> P.reward x n + P.avg x n (potential x k)
lemma bounded (x k n) : 0≤P.potential x k n ∧ P.potential x k n ≤ 1 := by
induction k generalizing n with
| zero => unfold potential reward; split <;> norm_num
| succ k ih =>
cases h : P.fin x n with
| true => simp [potential,reward,h,avg,P.dead h,payoff]
| false =>
have H (b) : 0 ≤ payoff (P.potential x k) (P.next x n b) ∧
payoff (P.potential x k) (P.next x n b) ≤ 1 := by
cases P.next x n b <;> simp [payoff, ih]
have ht := H true
have hf := H false
simp [potential,reward,h,avg]
constructor <;> linarith
lemma stable (x n k) (h : P.clock x ≤ (P.row x n).tm+k) :
P.potential x k n=P.potential x (k+1) n := by
induction k generalizing n with
| zero =>
have he (b) : P.next x n b=none := by
simp only [Nat.add_zero] at h; simp [next,not_lt.2 h]
simp [potential,avg,he,payoff]
| succ k ih =>
have he (b) : payoff (P.potential x k) (P.next x n b) =
payoff (P.potential x (k+1)) (P.next x n b) := by
cases hb : P.next x n b with
| none => rfl
| some j =>
apply ih
have H := congrArg R.tm (P.steps_to hb).2.2.2
simp only [R.step] at H
omega
change P.reward x n+ _=P.reward x n+_
unfold avg; rw [he,he]
def pr (x : Word) := P.potential x (P.clock x)
lemma pr_eq (x n) : P.pr x n=P.reward x n + P.avg x n (P.pr x) := by
exact stable P x n (P.clock x) (by omega)
abbrev Space (P : Source q w h) :=
∀ x coins t, P.mach.spaceThrough x coins t≤P.cs * Nat.clog 2 (x.length+2)
def walker (x : Word) (coins : CoinTape) (t : ℕ) := P.ident x (R.runs P.mach x coins t)
lemma visited (e : Space P) (x : Word) (coins t) (h : t≤P.clock x) :
P.row x (P.walker x coins t) = R.runs P.mach x coins t ∧
P.legal x (R.runs P.mach x coins t) ∧ (R.runs P.mach x coins t).tm=t := by
have H := @R.runs_small q w _ P.mach x coins P.cs P.c P.k (e x coins) t h
have I := R.runs_OK P.mach x coins t
exact ⟨R.recov_id H,⟨H,I.st ▸ ((P.mach.run x coins t).state).isLt⟩,I.tm⟩
lemma mem_first (e : Space P) (x) : P.first x∈ P.dom x := by
let coins : CoinTape := fun _=>false
obtain ⟨h,k,_⟩ := P.visited e x coins 0 (Nat.zero_le _)
exact P.mem (n:=P.walker x coins 0) (h.symm ▸ k)
lemma step_true (e : Space P) (x coins t) (h : t<P.clock x) :
P.next x (P.walker x coins t) (coins t) =
some (P.walker x coins (t+1)) ∧ P.fin x (P.walker x coins t) = false := by
obtain ⟨H,G,S⟩ := P.visited e x coins t (le_of_lt h)
obtain ⟨_,T,_⟩ := P.visited e x coins (t+1) h
simp only [R.runs] at T
simp only [next,fin,H,G,S,h,T,true_and,ite_true]
simp [walker,R.runs,Nat.ne_of_lt h]
lemma pr_end (e : Space P) (x coins) :
P.pr x (P.walker x coins (P.clock x)) =
if P.mach.output (P.mach.run x coins (P.clock x)).state = some true then 1 else 0 := by
obtain ⟨H,G,S⟩ := P.visited e x coins (P.clock x) le_rfl
rw [pr_eq]
simp [avg,reward,fin,next,H,G,S,payoff,R.runs_out]
lemma same (x : Word) (coins₁ coins₂ : CoinTape) (t : ℕ)
(h : ∀ j<t, coins₁ j=coins₂ j) :
P.walker x coins₁ t=P.walker x coins₂ t := by
unfold walker; congr 1
induction t with
| zero=>rfl
| succ t ih=> rw [R.runs,h t (by omega), ih (fun j hj=>h j (by omega)), ← R.runs]
abbrev Tapes (n : ℕ) := Fin n → Bool
def Toggle {n : ℕ} (i : Fin n) : Equiv.Perm (Tapes n) :=
let f := fun (b : Tapes n) j => if i=j then !b j else b j
have H : Function.LeftInverse f f := fun b=>by funext j; dsimp [f]; split <;> simp_all
⟨f,f,H,H⟩
lemma fair (e : Space P) (x : Word) :
P.pr x (P.first x)=P.mach.acceptanceProbability x (P.clock x) := by
let k := P.clock x
let f (b : Tapes k) (t) := P.walker x (Machine.extendCoins b) t
let g (t) (b : Tapes k) := P.pr x (f b t)
have HH (t) (ht : t<k) (b : Tapes k) :
g t b = (g (t+1) b + g (t+1) (Toggle ⟨t,ht⟩ b))/2 := by
let i : Fin k := ⟨t,ht⟩
let l := Toggle i b
let w := Machine.extendCoins
(t:=k)
have hv : f b t=f l t := by
apply P.same
intro j hj
have hk : j<k := by omega
have hne : i.val≠j := by dsimp [i]; omega
have hne' : i ≠ ⟨j,hk⟩ := fun h=>hne (congrArg Fin.val h)
simp [Machine.extendCoins, l, Toggle,hk,hne']
obtain ⟨hn,Hp⟩ := P.step_true e x (w b) t ht
obtain ⟨hn',-⟩ := P.step_true e x (w l) t ht
have h1 : w b t=b i := Machine.extendCoins_apply b i
have h2 : w l t= (!b i) :=
(Machine.extendCoins_apply l i).trans (by simp [l,Toggle])
rw [h1] at hn
rw [h2] at hn'
change P.next x (f b t) (b i)=some (f b (t+1)) at hn
change P.next x (f l t) (!b i)=some (f l (t+1)) at hn'
change P.fin x (f b t)=false at Hp
rw [← hv] at hn'
change P.pr x (f b t) = (P.pr x (f b (t+1)) + P.pr x (f l (t+1))) / 2
rw [pr_eq]
cases h : b i <;> simp only [h, Bool.not_true,Bool.not_false] at hn hn' <;>
simp [reward,Hp,avg,payoff,hn,hn',add_comm]
have hs (t) (ht : t≤k) : ∑ b, g 0 b= ∑ b, g t b := by
induction t with
| zero => rfl
| succ t ih =>
have hlt : t<k := ht
rw [ih (by omega)]
calc
_ = ∑ b, (g (t+1) b+g (t+1) (Toggle ⟨t,hlt⟩ b))/2 :=
Finset.sum_congr rfl (fun b _=> HH t hlt b)
_ = _ := by
rw [← Finset.sum_div, Finset.sum_add_distrib,Fintype.sum_equiv
(Toggle ⟨t,hlt⟩) _ (g (t+1)) (fun b=>rfl)]
ring
let p (b : Tapes k) := P.mach.output (P.mach.run x (Machine.extendCoins b) k).state = some true
let : DecidablePred p := fun i => inferInstanceAs (Decidable (_ = some true))
have hv (b) : g k b = if p b then 1 else 0 := P.pr_end e x _
have hz (b) : g 0 b = P.pr x (P.first x) := rfl
have he := hs k le_rfl
simp only [hz,hv] at he
rw [Finset.sum_const, Finset.card_univ, Fintype.card_fun, Fintype.card_bool, Fintype.card_fin] at he
unfold Machine.acceptanceProbability
rw [eq_div_iff (by positivity),mul_comm]
change (2:ℚ)^k * P.pr x (P.first x) = _
rw [Finset.card_filter]
simpa using he
end Source
end ExactDerandomization.Base
end
section
namespace ExactDerandomization.Base
open Counter
lemma enc_E {w} (m z : NE) (f : Fin w → NE) (hm : E m) (hz : E z)
(h : ∀ i, E (f i)) : E (fun x a=> enc (m x a) (z x a) (fun i=>f i x a)) := by
induction w with
| zero => exact hz
| succ w ih =>
exact (h 0).add (hm.mul (ih (fun i=>f i.succ) (fun i=> h i.succ)))
lemma dec_E {m n : NE} (hm : E m) (hn : E n) (d : ℕ) :
E (fun x a=>upper (m x a) d (n x a)) ∧
∀ i, E (fun x a=>dec (m x a) d (n x a) i) := by
induction d generalizing n with
| zero => exact ⟨hn,fun i=>Fin.elim0 i⟩
| succ d ih =>
obtain ⟨h,h'⟩ := ih (hn.div hm)
refine ⟨h,fun i=> Fin.cases ?_ ?_ i⟩
· simpa only [dec,Fin.cons_zero] using (hn.mod hm)
· intro i; simpa only [dec,Fin.cons_succ] using h' i
lemma PickAND {p q : Word → Store → Prop} [∀ x, DecidablePred (p x)] [∀ x, DecidablePred (q x)]
(h : Pick (fun x a=>decide (p x a))) (k : Pick (fun x a => decide (q x a))) :
Pick (fun x a => decide (p x a ∧ q x a)) := by
simpa using h.and k
lemma front_E {n : NE} (h : E n) : Pick (fun x a=>front (n x a)) :=
Pick.test_eq (h.mod (E.const 2)) (E.const 1)
lemma push_E {n : NE} {f : Word → Store → Bool} (h : E n) (e : Pick f) :
E (fun x a=>push (f x a) (n x a)) :=
(e.ite (E.const 1) (E.const 0)).add ((E.const 2).mul h)
variable {w h q : ℕ}
structure RE (f : Word → Store → R w h) : Prop where
tim : E fun x a=> (f x a).tm
st : E fun x a=> (f x a).st
inp (i : Fin h) : E fun x a=> (f x a).inp i
ll (i : Fin w) : E fun x a=> ((f x a).tapes i).1
rr (i : Fin w) : E fun x a=> ((f x a).tapes i).2
namespace RE
variable {f : Word → Store → R w h}
lemma code {m : NE} (hf : RE f) (hm : E m) : E (fun x a=>(f x a).id (m x a)) :=
enc_E _ _ _ hm (enc_E _ _ _ hm (enc_E _ _ _ hm (hf.st.add (hm.mul hf.tim)) hf.inp)
hf.ll) hf.rr
lemma recover {m n : NE} (hm : E m) (hn : E n) :
RE (fun x a=>R.recov w h (m x a) (n x a)) := by
obtain ⟨he0,h0⟩ := dec_E hm hn w
obtain ⟨he1,h1⟩ := dec_E hm he0 w
obtain ⟨he2,h2⟩ := dec_E hm he1 h
exact ⟨he2.div hm,he2.mod hm,h2,h1,h0⟩
lemma small {m : NE} (hf : RE f) (hm : E m) :
Pick (fun x a=> decide ((f x a).Small (m x a))) :=
PickAND (Pick.test_lt hf.tim hm) (PickAND (Pick.test_lt hf.st hm)
(PickAND (Pick.all _ (fun i=> Pick.test_lt (hf.inp i) hm))
(Pick.all _ (fun i=> PickAND (Pick.test_lt (hf.ll i) hm)
(Pick.test_lt (hf.rr i) hm)))))
lemma stPick (hf : RE f) (q) : Pick (fun x a => (f x a).state q) :=
Pick.pos (hf.st.mod (E.const _))
lemma choose (hf : RE f) (M : Machine q w h) (b : Bool) :
Pick (fun x a => (f x a).action M x b) := by
let v x a := fun i => Counter.scan x ((f x a).inp i)
let z x a := fun i=> front ((f x a).tapes i).2
have hv : Pick v := Pick.tuple (fun i=> Pick.read (hf.inp i))
have hz : Pick z := Pick.tuple (fun i=> front_E (hf.rr i))
let doIt := fun (s : Fin (q+1)) (u : Fin h → InputSymbol) (n : Fin w → Bool) =>
match M.output s with
| none=> M.transition s u n b
| some _=> ⟨s,n,fun _=> .stay,fun _=>.stay⟩
exact (hf.stPick q).bind (g:=fun s x a=>doIt s (v x a) (z x a))
(fun s=> hv.bind (g:=fun u x a => doIt s u (z x a)) (fun u => hz.map (doIt s u)))
lemma step (hf : RE f) (M : Machine q w h) (b : Bool) :
RE (fun x a => (f x a).step M x b) := by
have he := hf.choose M b
constructor
· exact hf.tim.succ
· exact he (fun z _ _=>z.nextState.val) (fun _=> E.const _)
· intro i
refine (he.map (fun z=>z.inputMove i))
(fun d x a=> R.minput x ((f x a).inp i) d) (fun d=>?_ )
cases d
· exact (hf.inp i).pred
· exact hf.inp i
· exact E.ite_lt (hf.inp i) E.length.succ (hf.inp i).succ (hf.inp i)
· intro i
apply he (fun z x a => (((f x a).tapes i).act (z.write i) (z.workMove i)).1)
intro z
cases H : z.workMove i with
| stay => exact hf.ll i
| right => exact push_E (hf.ll i) (Pick.const _)
| left => exact (hf.ll i).div (E.const 2)
· intro i
apply he (fun z x a => (((f x a).tapes i).act (z.write i) (z.workMove i)).2)
intro z
cases H : z.workMove i with
| stay => exact push_E ((hf.rr i).div (E.const 2)) (Pick.const _)
| right => exact (hf.rr i).div (E.const 2)
| left => exact push_E (push_E ((hf.rr i).div (E.const 2)) (Pick.const _)) (front_E (hf.ll i))
end RE
namespace Source
variable (P : Source q w h)
lemma eClock : E (fun x _=>P.clock x) :=
(E.const _).mul ((E.length.add (E.const 2)).pow_const _)
lemma eRad : E (fun x _=>P.mrad x) :=
(((E.const (q+2)).add P.eClock).add (E.length.add (E.const 2))).add
((E.const 2).mul (((E.const 2).mul (E.length.add (E.const 2))).pow_const _))
lemma eSize : E (fun x _=>P.size x) := (P.eRad.pow_const _).mul
((P.eRad.pow_const _).mul ((P.eRad.pow_const _).mul (P.eRad.mul P.eRad)))
lemma eFirst : E (fun x _=>P.first x) :=
RE.code (f:=fun _ _=>R.start P.mach)
⟨E.const _,E.const _,fun _=>E.const _,fun _=>E.const _,fun _=>E.const _⟩ P.eRad
lemma eLegal {v : Word → Store → R w h} (hv : RE v) :
Pick (fun x a=> decide (P.legal x (v x a))) :=
PickAND (hv.small P.eRad) (Pick.test_lt hv.st (E.const (q+1)))
lemma eReward {f : NE} (hf : E f) :
Pick (fun x a=> P.fin x (f x a)) := by
have hk : RE (fun x a=> P.row x (f x a)) := RE.recover P.eRad hf
exact PickAND (P.eLegal hk) (PickAND (Pick.test_eq hk.tim P.eClock)
((hk.stPick q).map (fun s=>decide (P.mach.output s=some true))))
lemma eWeight {f g : NE} (hf : E f) (hg : E g) :
E (fun x a=> P.edge x (f x a) (g x a)) := by
let v x a := P.row x (f x a)
have hk : RE v := RE.recover P.eRad hf
have he (b : Bool) : E (fun x a=> if P.next x (f x a) b=some (g x a) then 1 else 0) := by
let z x a := R.step P.mach (v x a) x b
have hz : RE z := hk.step P.mach b
have hc := hz.code P.eRad
have ht := PickAND (P.eLegal hk) (PickAND (Pick.test_lt hk.tim P.eClock) (P.eLegal hz))
convert ht.ite (hc.ite_eq hg (E.const 1) (E.const 0)) (E.const 0) using 1
ext x a
simp [next,v,z,ident] ; grind
exact (he false).add (he true)
end Source
end ExactDerandomization.Base
end
end OAI
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