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import OAI.Computability.MeanPayoff.Online
namespace OAI
section
namespace MeanPayoff
@[simp] theorem SolveBox.online_repeated {n Bmax : ℕ} (I : SolveBox n Bmax)
(t : Counted (BoxVector I)) (J : ℕ) :
(I.repeatedCounted t J).online = I.repeatedOnline t.online J := by
simp [SolveBox.repeatedCounted, SolveBox.repeatedOnline]
namespace CountedAlgorithm
def onlineLower {n Bmax : ℕ} {P : Budgets n} (lower : LowerSolver (Bmax := Bmax) P) :
OnlineAlgorithm.LowerSolver (Bmax := Bmax) P := fun Q h I => (lower Q h I).online
@[simp] theorem online_centerUpdate {n Bmax : ℕ} (P : Budgets n) (hR : 1 ≤ P.parameter)
(lower : LowerSolver (Bmax := Bmax) P) (I : SolveBox n Bmax)
(hB : 128 * globalS Bmax < I.width) (q : BoxVector I) :
(centerUpdate P hR lower I hB q).online =
OnlineAlgorithm.centerUpdate P hR (onlineLower lower) I hB q := by
simp [centerUpdate, OnlineAlgorithm.centerUpdate, onlineLower]
@[simp] theorem online_centerSteps {n Bmax : ℕ} (P : Budgets n) (hR : 1 ≤ P.parameter)
(lower : LowerSolver (Bmax := Bmax) P) (I : SolveBox n Bmax)
(hB : 128 * globalS Bmax < I.width) (t : ℕ) (q : BoxVector I) :
(centerSteps P hR lower I hB t q).online =
OnlineAlgorithm.centerSteps P hR (onlineLower lower) I hB t q := by
induction t generalizing q with
| zero => rfl
| succ t ih => simp only [centerSteps, OnlineAlgorithm.centerSteps, Counted.online_bind,
online_centerUpdate, Counted.online_map, ih]
@[simp] theorem online_orientationTail (G : Game) {Bmax : ℕ} (P : Budgets G.n)
(I : SolveBox G.n Bmax) (qs : List (BoxVector I))
(child : BoxVector I → Counted (Orientation P)) :
(orientationTail G P I qs child).online =
OnlineAlgorithm.orientationTail G P I qs (fun q => (child q).online) := by
unfold orientationTail OnlineAlgorithm.orientationTail
dsimp only
split_ifs <;> simp
@[simp] theorem online_orient (G : Game) {Bmax : ℕ} (P : Budgets G.n) (hR : 1 ≤ P.parameter)
(lower : LowerSolver (Bmax := Bmax) P) (I : SolveBox G.n Bmax) :
(orient G P hR lower I).online = OnlineAlgorithm.orient G P hR (onlineLower lower) I := by
rw [orient, OnlineAlgorithm.orient]
split_ifs with h
· rfl
· simp only [Counted.online_bind, online_centerSteps, online_orientationTail]
apply congrArg (Online.bind _)
funext qs
apply congrArg (OnlineAlgorithm.orientationTail G P I qs)
funext q
exact online_orient G P hR lower (I.wideCentered (lt_of_not_ge h) q.val)
termination_by I.width
decreasing_by exact I.E_smaller
@[simp] theorem online_orientPlus {n : ℕ} {P : Budgets n}
(t : Counted (Orientation P)) (J : ℕ) :
(orientPlus t J).online = OnlineAlgorithm.orientPlus t.online J := by
simp [orientPlus, OnlineAlgorithm.orientPlus]
@[simp] theorem online_tighten {n Bmax : ℕ} (P : Budgets n) (hR : 1 ≤ P.parameter)
(lower : LowerSolver (Bmax := Bmax) P) (I : SolveBox n Bmax)
(hB : 128 * globalS Bmax < I.width) :
(tighten P hR lower I hB).online = OnlineAlgorithm.tighten P hR (onlineLower lower) I hB := by
rw [tighten, OnlineAlgorithm.tighten]
simp only [Counted.online_bind, SolveBox.online_repeated]
congr 1
funext r₁
split_ifs with h₁
· simp only [Counted.online_map, online_tighten P hR lower (I.withFloor r₁) hB]
· simp only [Counted.online_bind, SolveBox.online_repeated]
congr 1
funext r₂
split_ifs with h₂
· simp only [Counted.online_map, online_tighten P hR lower (I.withCeiling r₂) hB]
· rfl
termination_by volume I.b I.a
decreasing_by
· apply volume_decreases r₁.property.1 r₁.property.2
obtain ⟨i, hi⟩ := h₁
have hd := I.delta_positive hB
intro heq
have he := congrFun heq i
omega
· apply volume_ceiling_decreases r₂.property.1 r₂.property.2
obtain ⟨i, hi⟩ := h₂
have hd := I.delta_positive hB
intro heq
have he := congrFun heq i
omega
@[simp] theorem online_finishChoice (G : Game) {Bmax : ℕ} (P : Budgets G.n)
(hR : 1 ≤ P.parameter) (lower : LowerSolver (Bmax := Bmax) P) (I : SolveBox G.n Bmax)
(hB : 128 * globalS Bmax < I.width) (O : Orientation P)
(up : Counted (BoxVector (I.capHigh I.C I.C_positive (I.C_smaller hB).le)))
(lo : Counted (BoxVector (I.capLow I.C I.C_positive (I.C_smaller hB).le))) :
(finishChoice G P hR lower I hB O up lo).online =
OnlineAlgorithm.finishChoice G P hR (onlineLower lower) I hB O up.online lo.online := by
unfold finishChoice OnlineAlgorithm.finishChoice
split_ifs <;> simp [onlineLower]
@[simp] theorem online_solveWidth (G : Game) {Bmax : ℕ} (P : Budgets G.n)
(hR : 1 ≤ P.parameter) (lower : LowerSolver (Bmax := Bmax) P) (I : SolveBox G.n Bmax) :
(solveWidth G P hR lower I).online = OnlineAlgorithm.solveWidth G P hR (onlineLower lower) I := by
rw [solveWidth, OnlineAlgorithm.solveWidth, Counted.online_charge]
apply congrArg (Online.charge 1)
split_ifs with hB
· rfl
· simp only [Counted.online_bind, online_tighten]
congr 1
funext T
simp only [online_orientPlus, online_orient]
congr 1
funext O
simp only [Counted.online_map, online_finishChoice]
congr 2
· exact online_solveWidth G P hR lower _
· exact online_solveWidth G P hR lower _
termination_by I.width
decreasing_by
all_goals
change T.box.C < I.width
rw [← T.width_eq]
exact T.box.C_smaller (by rw [T.width_eq]; omega)
@[simp] theorem online_solve (G : Game) {Bmax : ℕ} (P : Budgets G.n) (I : SolveBox G.n Bmax) :
(solve G P I).online = OnlineAlgorithm.solve G P I := by
rw [solve, OnlineAlgorithm.solve]
split_ifs with hR
· rfl
· rw [online_solveWidth]
congr 1
funext Q h K
exact online_solve G Q K
termination_by parameterRank P.parameter
end CountedAlgorithm
@[simp] theorem RandomTree.read_map {α β : Type} (t : RandomTree α) (f : α → β)
(bits : ℕ → Bool) : (t.map f).read bits = f (t.read bits) := by
induction t generalizing bits with
| leaf a => rfl
| coin l r il ir => simp only [RandomTree.map, RandomTree.bind, RandomTree.read]; split <;> simp_all [RandomTree.map]
theorem Counted.online_value {α : Type} (t : Counted α) (bits : ℕ → Bool) (pos : ℕ) :
(t.online bits pos).1.1 = t.erase.read (fun j => bits (pos + j)) := by
rw [Counted.erase, RandomTree.read_map, ← RandomTree.consume_read]
rfl
theorem Counted.online_count {α : Type} (t : Counted α) {N : ℕ} (h : t.Bounded N)
(bits : ℕ → Bool) (pos : ℕ) : (t.online bits pos).1.2 ≤ N := by
exact (RandomTree.consume_path t.tree bits pos).2.all h
theorem Counted.online_coins {α : Type} (t : Counted α) {K E : ℕ} (h : t.Resource K E)
(bits : ℕ → Bool) (pos : ℕ) :
pos ≤ (t.online bits pos).2 ∧
(t.online bits pos).2 ≤ pos + K * (t.online bits pos).1.2 + E := by
obtain ⟨hp, hh⟩ := RandomTree.consume_path t.tree bits pos
have hb := h _ _ hh
exact ⟨hp, by unfold Counted.online; omega⟩
def onlineGame (G : Game) : Online (Fin G.n → Bool) :=
(OnlineAlgorithm.solve G (rootBudgets G) (rootBox G)).map
(fun p v => decide (topWidth G / 2 < p.val v))
theorem onlineGame_counted (G : Game) : onlineGame G =
((CountedAlgorithm.solve G (rootBudgets G) (rootBox G)).map
(fun p v => decide (topWidth G / 2 < p.val v))).online := by
simp only [onlineGame, Counted.online_map, CountedAlgorithm.online_solve]
theorem onlineGame_value (G : Game) (bits : ℕ → Bool) (pos : ℕ) :
(onlineGame G bits pos).1.1 = (gameSolve G).read (fun j => bits (pos + j)) := by
rw [onlineGame_counted, Counted.online_value]
simp only [Counted.erase_map, CountedAlgorithm.erase_solve, gameSolve]
theorem onlineGame_count (G : Game) (bits : ℕ → Bool) (pos : ℕ) :
(onlineGame G bits pos).1.2 ≤ rootInvocationBound G := by
rw [onlineGame_counted]
exact Counted.online_count _
(Counted.bounded_map _ (CountedAlgorithm.bounded_solve G (rootBudgets G) (rootBox G))) bits pos
theorem onlineGame_coins (G : Game) (bits : ℕ → Bool) (pos : ℕ) :
pos ≤ (onlineGame G bits pos).2 ∧
(onlineGame G bits pos).2 ≤ pos + rootRandomBound G := by
have h := Counted.online_coins
((CountedAlgorithm.solve G (rootBudgets G) (rootBox G)).map
(fun p v => decide (topWidth G / 2 < p.val v)))
(Counted.resource_map _ (CountedAlgorithm.resource_solve G (rootBudgets G) (rootBox G))) bits pos
rw [← onlineGame_counted G] at h
have hc := Nat.mul_le_mul_left (nodeRandomBound G.n (topWidth G).toNat) (onlineGame_count G bits pos)
exact ⟨h.1, by unfold rootRandomBound; omega⟩
namespace BinaryInput
def onlineProgram (code : List Bool) : Online (List Bool) :=
match decodeGame code with
| none => Online.pure []
| some G => (onlineGame G).map List.ofFn
@[simp] theorem onlineProgram_input (G : Game) :
onlineProgram (input G) = (onlineGame G).map List.ofFn := by
simp only [onlineProgram, decodeGame_input]
theorem onlineProgram_value (G : Game) (bits : ℕ → Bool) (pos : ℕ) :
(onlineProgram (input G) bits pos).1.1 =
List.ofFn ((gameSolve G).read (fun j => bits (pos + j))) := by
simp only [onlineProgram_input, Online.map, onlineGame_value]
def CorrectList (G : Game) (out : List Bool) : Prop :=
out.length = G.n ∧ ∀ v : Fin G.n, out[v.val]? = some true ↔ Winning G v
@[simp] theorem correctList_ofFn (G : Game) (out : Fin G.n → Bool) :
CorrectList G (List.ofFn out) ↔ CorrectSet G out := by
simp only [CorrectList, List.length_ofFn, List.getElem?_ofFn, Fin.isLt, ↓reduceDIte,
Option.some.injEq, true_and, CorrectSet]
theorem onlineProgram_coins (G : Game) (bits : ℕ → Bool) :
(onlineProgram (input G) bits 0).2 ≤ rootRandomBound G := by
simpa only [onlineProgram_input, Online.map, Nat.zero_add] using (onlineGame_coins G bits 0).2
open scoped Classical
theorem onlineProgram_success (G : Game) :
(∀ bits : ℕ → Bool, (onlineProgram (input G) bits 0).2 ≤ rootRandomBound G) ∧
7 * 2 ^ rootRandomBound G ≤ 8 * (Finset.univ.filter
(fun bits : Fin (rootRandomBound G) → Bool =>
CorrectList G (onlineProgram (input G) (padBits bits) 0).1.1)).card := by
refine ⟨onlineProgram_coins G, ?_⟩
have h := RandomTree.game_prefix_success G (rootRandomBound G) (game_bitDepth G)
simp only [onlineProgram_value, Nat.zero_add, correctList_ofFn, RandomTree.readPrefix] at ⊢ h
convert h using 1
congr 1
end BinaryInput
end MeanPayoff
namespace MeanPayoff
namespace TwoPhase
def even {t : ℕ} (bits : Fin (2 * t) → Bool) (j : Fin t) : Bool :=
bits ⟨2 * j.val, by omega⟩
def odd {t : ℕ} (bits : Fin (2 * t) → Bool) (j : Fin t) : Bool :=
bits ⟨2 * j.val + 1, by omega⟩
def interleave {t : ℕ} (bits : (Fin t → Bool) × (Fin t → Bool))
(j : Fin (2 * t)) : Bool :=
if j.val % 2 = 0 then bits.1 ⟨j.val / 2, by omega⟩
else bits.2 ⟨j.val / 2, by omega⟩
@[simp] theorem even_interleave {t : ℕ} (bits : (Fin t → Bool) × (Fin t → Bool)) :
even (interleave bits) = bits.1 := by
funext j
simp [even, interleave]
@[simp] theorem odd_interleave {t : ℕ} (bits : (Fin t → Bool) × (Fin t → Bool)) :
odd (interleave bits) = bits.2 := by
funext j
simp [odd, interleave, Nat.add_div]
def equiv (t : ℕ) : ((Fin t → Bool) × (Fin t → Bool)) ≃ (Fin (2 * t) → Bool) where
toFun := interleave
invFun := fun bits => (even bits, odd bits)
left_inv bits := by simp only [even_interleave, odd_interleave]
right_inv bits := by
funext j
simp only [interleave, even, odd]
split <;> rename_i hj
· congr 1
apply Fin.ext
dsimp only
have hm := Nat.mod_add_div j.val 2
omega
· congr 1
apply Fin.ext
dsimp only
have hm := Nat.mod_add_div j.val 2
have hb := Nat.mod_lt j.val (by omega : 0 < 2)
omega
theorem pad_even {t : ℕ} (bits : Fin (2 * t) → Bool) :
(fun j => padBits bits (2 * j)) = padBits (even bits) := by
funext j
by_cases hj : j < t
· simp only [padBits, show 2 * j < 2 * t by omega, hj, ↓reduceDIte, even]
· simp only [padBits, show ¬2 * j < 2 * t by omega, hj, ↓reduceDIte]
open scoped Classical
theorem successful_count (t : ℕ) (Q : (Fin t → Bool) → Prop) :
(Finset.univ.filter (fun bits : Fin (2 * t) → Bool => Q (even bits))).card =
2 ^ t * (Finset.univ.filter Q).card := by
have h := Equiv.sum_comp (equiv t) (fun bits => if Q (even bits) then (1 : ℕ) else 0)
rw [Fintype.sum_prod_type] at h
simp only [equiv, Equiv.coe_fn_mk, even_interleave] at h
calc
_ = ∑ x : Fin t → Bool, if Q x then 2 ^ t else 0 := by
simpa [Finset.sum_boole, Fintype.card_fun] using h.symm
_ = _ := by simp [Finset.sum_ite, Nat.mul_comm]
theorem success_transfer (t : ℕ) (Q : (Fin t → Bool) → Prop)
(h : 7 * 2 ^ t ≤ 8 * (Finset.univ.filter Q).card) :
7 * 2 ^ (2 * t) ≤ 8 * (Finset.univ.filter
(fun bits : Fin (2 * t) → Bool => Q (even bits))).card := by
rw [successful_count]
have hh := Nat.mul_le_mul_left (2 ^ t) h
rw [show 2 * t = t + t by omega, pow_add]
nlinarith only [hh]
end TwoPhase
end MeanPayoff
end
end OAI