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| import OAI.Combinatorics.ContingencyTables.Model | |
| import OAI.Combinatorics.MatchingCount.Model | |
| namespace OAI | |
| /-! | |
| # Main algorithm statements for result 200 | |
| The samplers and counter use a finite transition table, independent fair | |
| bits, binary inputs and explicit bit-operation runtime bounds. No counting or sampling oracle is part of the machine. | |
| The exact sampler's expected runtime uses a summable tail series, avoiding | |
| the default value of an undefined infinite sum. | |
| -/ | |
| namespace ContingencyTables.Algorithms | |
| open scoped BigOperators | |
| open Filter | |
| abbrev Machine := MatchingFPRAS.RandomMachine | |
| abbrev Symbol := MatchingFPRAS.Symbol | |
| def encodeMatrix {m n : ℕ} (X : Fin m → Fin n → ℕ) : List Symbol := | |
| ((List.ofFn fun i => (List.ofFn fun j => MatchingFPRAS.encodeNat (X i j)).flatten)).flatten | |
| def encodeMargins {m n : ℕ} (r : Fin m → ℕ) (c : Fin n → ℕ) : List Symbol := | |
| MatchingFPRAS.encodeNat m ++ MatchingFPRAS.encodeNat n ++ | |
| (List.ofFn fun i => MatchingFPRAS.encodeNat (r i)).flatten ++ | |
| (List.ofFn fun j => MatchingFPRAS.encodeNat (c j)).flatten | |
| def encodeSamplingInput {m n : ℕ} (r : Fin m → ℕ) (c : Fin n → ℕ) (k : ℕ) : List Symbol := | |
| encodeMargins r c ++ MatchingFPRAS.encodeNat k | |
| def encodeCountingInput {m n : ℕ} (r : Fin m → ℕ) (c : Fin n → ℕ) | |
| (b : Fin m → Fin n → ℕ) (ε δ : ℚ) : List Symbol := | |
| encodeMargins r c ++ encodeMatrix b ++ MatchingFPRAS.encodeRat ε ++ MatchingFPRAS.encodeRat δ | |
| /-- The tape alphabet has positive cardinality. -/ | |
| theorem alphabetSize_neZero : NeZero (8 : ℕ) := inferInstance | |
| /-- A halted tape contains the row-major binary matrix encoding. -/ | |
| def OutputsTable (A : Machine) (input : List Symbol) {t m n : ℕ} | |
| (bits : Fin t → Bool) (X : Fin m → Fin n → ℕ) : Prop := | |
| (MatchingFPRAS.run A input bits).state = none ∧ | |
| @Turing.Tape.right₀ MatchingFPRAS.Symbol (@Fin.instInhabited 8 alphabetSize_neZero) | |
| (MatchingFPRAS.run A input bits).tape = | |
| @Turing.ListBlank.mk Symbol (@Fin.instInhabited 8 alphabetSize_neZero) (encodeMatrix X) | |
| noncomputable def tableMass (A : Machine) (input : List Symbol) (t : ℕ) | |
| {m n : ℕ} (X : Fin m → Fin n → ℕ) : ℝ := by | |
| classical | |
| exact ((Finset.univ.filter fun bits : Fin t → Bool => OutputsTable A input bits X).card : ℝ) / | |
| (2 : ℝ) ^ t | |
| noncomputable def haltMass (A : Machine) (input : List Symbol) (t : ℕ) : ℝ := by | |
| classical | |
| exact ((Finset.univ.filter fun bits : Fin t → Bool => | |
| (MatchingFPRAS.run A input bits).state = none).card : ℝ) / (2 : ℝ) ^ t | |
| def samplingSize (n : ℕ) {m : ℕ} (r : Fin m → ℕ) (k : ℕ) : ℕ := | |
| m + n + Nat.clog 2 ((∑ i, r i) + 1) + k + 1 | |
| /-- Paper 200-01, Theorem main(i): bounded runtime on every random tape | |
| and total variation at most `2⁻ᵏ`, with freely varying dimensions. -/ | |
| def BoundedSamplingStatement : Prop := | |
| ∃ (A : Machine) (C d : ℕ), 0 < C ∧ | |
| ∀ (m n : ℕ) (r : Fin m → ℕ) (c : Fin n → ℕ), | |
| (∑ i, r i) = ∑ j, c j → ∀ k : ℕ, 1 ≤ k → | |
| let input := encodeSamplingInput r c k | |
| let t := C * (samplingSize n r k) ^ d | |
| (∀ bits : Fin t → Bool, ∃ X : Table r c, OutputsTable A input bits X.val) ∧ | |
| (∑ X : Table r c, | |
| |tableMass A input t X.val - (Fintype.card (Table r c) : ℝ)⁻¹|) / 2 ≤ | |
| ((2 : ℝ) ^ k)⁻¹ | |
| /-- Paper 200-01, Theorem main(ii): every halted output is feasible, each | |
| table has limiting mass `1/|Ω|`, termination has probability one, and the | |
| expected number of bit operations is bounded by a uniform polynomial. -/ | |
| def ExactSamplingStatement : Prop := | |
| ∃ (A : Machine) (C d : ℕ), 0 < C ∧ | |
| ∀ (m n : ℕ) (r : Fin m → ℕ) (c : Fin n → ℕ), | |
| (∑ i, r i) = ∑ j, c j → | |
| let input := encodeMargins r c | |
| let tail : ℕ → ℝ := fun t => 1 - haltMass A input t | |
| (∀ t (bits : Fin t → Bool), (MatchingFPRAS.run A input bits).state = none → | |
| ∃ X : Table r c, OutputsTable A input bits X.val) ∧ | |
| (∀ X : Table r c, Tendsto (fun t => tableMass A input t X.val) atTop | |
| (nhds ((Fintype.card (Table r c) : ℝ)⁻¹))) ∧ | |
| Tendsto (haltMass A input) atTop (nhds 1) ∧ | |
| Summable tail ∧ | |
| tsum tail ≤ C * (samplingSize n r 0) ^ d | |
| noncomputable def count {m n : ℕ} (r : Fin m → ℕ) (c : Fin n → ℕ) | |
| (b : Fin m → Fin n → ℕ) : ℕ := Fintype.card (BoundedTable r c b) | |
| def countingTime (C d : ℕ) {m n : ℕ} (r : Fin m → ℕ) (c : Fin n → ℕ) | |
| (b : Fin m → Fin n → ℕ) (ε δ : ℚ) : ℕ := | |
| C * ((encodeCountingInput r c b ε δ).length + ⌈ε⁻¹⌉₊ + | |
| Nat.clog 2 ⌈δ⁻¹⌉₊ + 1) ^ d | |
| noncomputable def goodCountingTapes (A : Machine) {m n : ℕ} | |
| (r : Fin m → ℕ) (c : Fin n → ℕ) (b : Fin m → Fin n → ℕ) | |
| (ε δ : ℚ) (t : ℕ) : Finset (Fin t → Bool) := by | |
| classical | |
| exact Finset.univ.filter fun bits => ∃ q : ℚ, | |
| MatchingFPRAS.Outputs A (encodeCountingInput r c b ε δ) bits q ∧ | |
| (1 - ε) * count r c b ≤ q ∧ q ≤ (1 + ε) * count r c b | |
| /-- Paper 200-02, Theorem main. The input length includes the rational | |
| accuracy parameters, and infeasible inputs always produce exactly zero. -/ | |
| def CountingStatement : Prop := | |
| ∃ (A : Machine) (C d : ℕ), 0 < C ∧ | |
| ∀ (m n : ℕ), 0 < m → 0 < n → | |
| ∀ (r : Fin m → ℕ) (c : Fin n → ℕ) (b : Fin m → Fin n → ℕ), | |
| (∑ i, r i) = ∑ j, c j → | |
| ∀ ε δ : ℚ, 0 < ε → ε < 1 → 0 < δ → δ < 1 → | |
| let input := encodeCountingInput r c b ε δ | |
| let t := countingTime C d r c b ε δ | |
| (∀ bits : Fin t → Bool, ∃ q : ℚ, 0 ≤ q ∧ MatchingFPRAS.Outputs A input bits q) ∧ | |
| (count r c b = 0 → ∀ bits : Fin t → Bool, MatchingFPRAS.Outputs A input bits 0) ∧ | |
| ((goodCountingTapes A r c b ε δ t).card : ℚ) / (2 : ℚ) ^ t ≥ 1 - δ | |
| end ContingencyTables.Algorithms | |
| end OAI | |