import OAI.Computability.UniqueGames.Reduction.OutputSize import OAI.Computability.UniqueGames.Reduction.OutputTranslationsLemmas namespace OAI section namespace UniqueGamesTheorem.Reduction.AddressOutputSize open ActualSource open UniqueGamesTheorem.Integration open UniqueGamesTheorem.Foundations variable {s d : Nat} def vertexBound (k s d inputLength : Nat) : Nat := 2 * ((48 + CloneGap.distinctTriples.length) * inputLength + 2 ^ s + 2 ^ d + 4) ^ (1 + 9 * k) def edgeBound (k : Nat) (T : NoiseTables.Table s d) (inputLength : Nat) : Nat := OutputSize.edgeCoefficient k T * inputLength ^ k def bitsBound (vertices edges alphabet : Nat) : Nat := vertices + alphabet + edges + 3 + edges * (2 * vertices + alphabet * (alphabet + 1)) theorem bitsBound_mono {vertices vertices' edges edges' alphabet : Nat} (hv : vertices ≤ vertices') (he : edges ≤ edges') : bitsBound vertices edges alphabet ≤ bitsBound vertices' edges' alphabet := by unfold bitsBound exact Nat.add_le_add (Nat.add_le_add_right (Nat.add_le_add (Nat.add_le_add_right hv alphabet) he) 3) (Nat.mul_le_mul he (Nat.add_le_add_right (Nat.mul_le_mul_left 2 hv) _)) def sizeBound (k : Nat) (T : NoiseTables.Table s d) (inputLength : Nat) : Nat := bitsBound (vertexBound k s d inputLength) (edgeBound k T inputLength) (2 ^ s) theorem table_constraints_eq (S : Source) (k : Nat) (T : NoiseTables.Table s d) : (AddressGame.tableOutput S k T).constraints.length = Explicit.edgeCount S.occurrences k (s + d) T.vectors.length := by unfold AddressGame.tableOutput erw [AddressGame.outputInstance_length] simp only [TableReduction.tableEnumeration] erw [List.length_finRange] private theorem scaled_sum_le {n m N : Nat} (a b : Nat) (hn : n ≤ N) (hm : m ≤ N) : n * a + m * b ≤ (a + b) * N := by calc _ ≤ N * a + N * b := Nat.add_le_add (Nat.mul_le_mul_right a hn) (Nat.mul_le_mul_right b hm) _ = _ := by rw [Nat.add_mul]; ac_rfl private theorem collect_edge_coefficient (inputLength tripleCount iterations factor noiseCount : Nat) : (inputLength * tripleCount) ^ iterations * factor * noiseCount = (tripleCount ^ iterations * factor * noiseCount) * inputLength ^ iterations := by rw [Nat.mul_pow] ac_rfl theorem output_constraints_eq {n : Nat} (es : List (CloneGap.Equation (Fin n))) (hne : es ≠ []) (k : Nat) (T : NoiseTables.Table s d) : (AddressGame.tableOutput (UniformReduction.source es hne) k T).constraints.length = edgeBound k T es.length := by rw [table_constraints_eq, UniformReduction.source_occurrences] unfold Explicit.edgeCount edgeBound OutputSize.edgeCoefficient exact collect_edge_coefficient _ _ _ _ _ theorem output_vertices_le_input (input : SourceEncoding.Input) (k : Nat) (T : NoiseTables.Table s d) : (AddressGame.tableOutput (UniformReduction.source input.equations input.nonempty) k T).vertices ≤ vertexBound k s d (SourceEncoding.inputBits input).length := by have hn := SourceEncoding.inputBits_length_ge_variables input have hm := SourceEncoding.inputBits_length_ge_equations input have hsum := scaled_sum_le 48 CloneGap.distinctTriples.length hn hm change 2 * (CanonicalAddress.base (UniformReduction.source input.equations input.nonempty).variables (UniformReduction.source input.equations input.nonempty).occurrences s d) ^ (1 + 9 * k) ≤ _ rw [CanonicalAddress.base_eq, UniformReduction.source_variables, UniformReduction.source_occurrences] unfold vertexBound apply Nat.mul_le_mul_left 2 apply Nat.pow_le_pow_left exact Nat.add_le_add_right (Nat.add_le_add_right (Nat.add_le_add_right hsum _) _) _ theorem output_constraints_le_input (input : SourceEncoding.Input) (k : Nat) (T : NoiseTables.Table s d) : (AddressGame.tableOutput (UniformReduction.source input.equations input.nonempty) k T).constraints.length ≤ edgeBound k T (SourceEncoding.inputBits input).length := by rw [output_constraints_eq] exact Nat.mul_le_mul_left _ (Nat.pow_le_pow_left (SourceEncoding.inputBits_length_ge_equations input) k) theorem output_bits_length_le (input : SourceEncoding.Input) (k : Nat) (T : NoiseTables.Table s d) : (Complexity.gameBits (AddressGame.tableOutput (UniformReduction.source input.equations input.nonempty) k T)).length ≤ sizeBound k T (SourceEncoding.inputBits input).length := by exact (GameEncodingSize.gameBits_length_le _).trans (bitsBound_mono (output_vertices_le_input input k T) (output_constraints_le_input input k T)) /-- One fixed polynomial includes every declared address and every edge table. -/ noncomputable def outputPolynomial (k : Nat) (T : NoiseTables.Table s d) : Polynomial Nat := let V := Polynomial.C 2 * (Polynomial.C (48 + CloneGap.distinctTriples.length) * Polynomial.X + Polynomial.C (2 ^ s) + Polynomial.C (2 ^ d) + Polynomial.C 4) ^ (1 + 9 * k) let E := Polynomial.C (OutputSize.edgeCoefficient k T) * Polynomial.X ^ k V + Polynomial.C (2 ^ s) + E + Polynomial.C 3 + E * (Polynomial.C 2 * V + Polynomial.C ((2 ^ s) * (2 ^ s + 1))) theorem outputPolynomial_eval (k : Nat) (T : NoiseTables.Table s d) (inputLength : Nat) : (outputPolynomial k T).eval inputLength = sizeBound k T inputLength := by simp only [outputPolynomial, sizeBound, bitsBound, vertexBound, edgeBound, Polynomial.eval_add, Polynomial.eval_mul, Polynomial.eval_pow, Polynomial.eval_C, Polynomial.eval_X] theorem output_bits_polynomial_in_input (input : SourceEncoding.Input) (k : Nat) (T : NoiseTables.Table s d) : (Complexity.gameBits (AddressGame.tableOutput (UniformReduction.source input.equations input.nonempty) k T)).length ≤ (outputPolynomial k T).eval (SourceEncoding.inputBits input).length := by rw [outputPolynomial_eval] exact output_bits_length_le input k T theorem fixed_parameters_output_size (k : Nat) (T : NoiseTables.Table s d) : ∃ p : Polynomial Nat, ∀ input : SourceEncoding.Input, (Complexity.gameBits (AddressGame.tableOutput (UniformReduction.source input.equations input.nonempty) k T)).length ≤ p.eval (SourceEncoding.inputBits input).length := ⟨outputPolynomial k T, fun input => output_bits_polynomial_in_input input k T⟩ def directVertexBound (k s d inputLength : Nat) : Nat := 2 * (inputLength + 2 ^ s + 2 ^ d + 4) ^ (1 + 9 * k) def directEdgeCoefficient (k s d noiseCount : Nat) : Nat := 2 ^ ((2 * k + 1) * (s + d + 1)) * noiseCount def directSizeBound (k : Nat) (T : NoiseTables.Table s d) (inputLength : Nat) : Nat := bitsBound (directVertexBound k s d inputLength) (directEdgeCoefficient k s d T.vectors.length * inputLength ^ k) (2 ^ s) theorem direct_vertices_le_input (input : SourceEncoding.Input) (k : Nat) (T : NoiseTables.Table s d) : (AddressGame.tableOutput (Source.ofList input.equations input.nonempty) k T).vertices ≤ directVertexBound k s d (SourceEncoding.inputBits input).length := by have hsum : input.variables + input.equations.length ≤ (SourceEncoding.inputBits input).length := by rw [SourceEncoding.inputBits_length] omega change 2 * (CanonicalAddress.base input.variables input.equations.length s d) ^ (1 + 9 * k) ≤ _ rw [CanonicalAddress.base_eq] unfold directVertexBound apply Nat.mul_le_mul_left 2 apply Nat.pow_le_pow_left exact Nat.add_le_add_right (Nat.add_le_add_right (Nat.add_le_add_right hsum _) _) _ theorem direct_constraints_eq (input : SourceEncoding.Input) (k : Nat) (T : NoiseTables.Table s d) : (AddressGame.tableOutput (Source.ofList input.equations input.nonempty) k T).constraints.length = directEdgeCoefficient k s d T.vectors.length * input.equations.length ^ k := by rw [table_constraints_eq] unfold Explicit.edgeCount directEdgeCoefficient Source.ofList ac_rfl theorem direct_constraints_le_input (input : SourceEncoding.Input) (k : Nat) (T : NoiseTables.Table s d) : (AddressGame.tableOutput (Source.ofList input.equations input.nonempty) k T).constraints.length ≤ directEdgeCoefficient k s d T.vectors.length * (SourceEncoding.inputBits input).length ^ k := by rw [direct_constraints_eq] exact Nat.mul_le_mul_left _ (Nat.pow_le_pow_left (SourceEncoding.inputBits_length_ge_equations input) k) theorem direct_bits_length_le (input : SourceEncoding.Input) (k : Nat) (T : NoiseTables.Table s d) : (Complexity.gameBits (AddressGame.tableOutput (Source.ofList input.equations input.nonempty) k T)).length ≤ directSizeBound k T (SourceEncoding.inputBits input).length := (GameEncodingSize.gameBits_length_le _).trans (bitsBound_mono (direct_vertices_le_input input k T) (direct_constraints_le_input input k T)) noncomputable def directOutputPolynomial (k : Nat) (T : NoiseTables.Table s d) : Polynomial Nat := let V := Polynomial.C 2 * (Polynomial.X + Polynomial.C (2 ^ s) + Polynomial.C (2 ^ d) + Polynomial.C 4) ^ (1 + 9 * k) let E := Polynomial.C (directEdgeCoefficient k s d T.vectors.length) * Polynomial.X ^ k V + Polynomial.C (2 ^ s) + E + Polynomial.C 3 + E * (Polynomial.C 2 * V + Polynomial.C ((2 ^ s) * (2 ^ s + 1))) theorem directOutputPolynomial_eval (k : Nat) (T : NoiseTables.Table s d) (inputLength : Nat) : (directOutputPolynomial k T).eval inputLength = directSizeBound k T inputLength := by simp only [directOutputPolynomial, directSizeBound, bitsBound, directVertexBound, Polynomial.eval_add, Polynomial.eval_mul, Polynomial.eval_pow, Polynomial.eval_C, Polynomial.eval_X] theorem direct_bits_polynomial_in_input (input : SourceEncoding.Input) (k : Nat) (T : NoiseTables.Table s d) : (Complexity.gameBits (AddressGame.tableOutput (Source.ofList input.equations input.nonempty) k T)).length ≤ (directOutputPolynomial k T).eval (SourceEncoding.inputBits input).length := by rw [directOutputPolynomial_eval] exact direct_bits_length_le input k T theorem fixed_parameters_direct_output_size (k : Nat) (T : NoiseTables.Table s d) : ∃ p : Polynomial Nat, ∀ input : SourceEncoding.Input, (Complexity.gameBits (AddressGame.tableOutput (Source.ofList input.equations input.nonempty) k T)).length ≤ p.eval (SourceEncoding.inputBits input).length := ⟨directOutputPolynomial k T, fun input => direct_bits_polynomial_in_input input k T⟩ end UniqueGamesTheorem.Reduction.AddressOutputSize end end OAI