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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 | |