import Mathlib import OAI.LinearAlgebra.MatrixFields.Arithmetic.ComplexArithmeticGrowth import OAI.LinearAlgebra.MatrixFields.Arithmetic.RecursiveBlockPrograms namespace OAI namespace MatrixAllFields open scoped BigOperators Topology Polynomial noncomputable section namespace MatrixMultiplication.Arithmetic variable {F : Type*} [Field F] theorem rectangular_power_cost_padding_bound {a b : ℕ} (ha : 2 ≤ a) {k s C : ℝ} (hk : 0 ≤ k) (hab : (a : ℝ) ^ k ≤ (b : ℝ)) (hs : 0 ≤ s) (hC : 0 < C) (hpower : ∀ t : ℕ, ∃ P : MatrixAlgorithm F (a ^ t) (b ^ t) (a ^ t), P.Correct ∧ (P.cost : ℝ) ≤ C * ((a : ℝ) ^ s) ^ t) : ∃ D : ℝ, 0 < D ∧ ∀ n : ℕ, 1 ≤ n → ∃ P : MatrixAlgorithm F n (innerSize n k) n, P.Correct ∧ (P.cost : ℝ) ≤ D * (n : ℝ) ^ s := by have hapos : 0 < (a : ℝ) := by exact_mod_cast (by omega : 0 < a) refine ⟨C * (a : ℝ) ^ s, mul_pos hC (Real.rpow_pos_of_pos hapos s), ?_⟩ intro n hn obtain ⟨t, hnt, htn⟩ := MatrixMultiplication.Foundation.Arithmetic.exists_power_cover ha hn obtain ⟨P, hP, hcost⟩ := hpower t obtain ⟨Q, hQ, hQP⟩ := MatrixAlgorithm.exists_restrict hnt (innerSize_le_pow hk hnt hab) hnt P hP refine ⟨Q, hQ, ?_⟩ calc (Q.cost : ℝ) ≤ (P.cost : ℝ) := by exact_mod_cast hQP _ ≤ C * ((a : ℝ) ^ s) ^ t := hcost _ = C * ((a ^ t : ℕ) : ℝ) ^ s := by rw [Real.rpow_pow_comm hapos.le, Nat.cast_pow] _ ≤ C * ((a : ℝ) * (n : ℝ)) ^ s := mul_le_mul_of_nonneg_left (Real.rpow_le_rpow (Nat.cast_nonneg _) (by exact_mod_cast htn) hs) hC.le _ = (C * (a : ℝ) ^ s) * (n : ℝ) ^ s := by rw [Real.mul_rpow hapos.le (Nat.cast_nonneg n)] ring theorem rectangularAdmissibleExponent_of_power_costs {a b : ℕ} (ha : 2 ≤ a) {k τ : ℝ} (hk : 0 ≤ k) (hab : (a : ℝ) ^ k ≤ (b : ℝ)) (hτ : 0 ≤ τ) (hpower : ∀ ε : ℝ, 0 < ε → ∃ C : ℝ, 0 < C ∧ ∀ t : ℕ, ∃ P : MatrixAlgorithm F (a ^ t) (b ^ t) (a ^ t), P.Correct ∧ (P.cost : ℝ) ≤ C * ((a : ℝ) ^ (τ + ε)) ^ t) : RectangularAdmissibleExponent F k τ := by intro ε hε obtain ⟨C, hC, hcost⟩ := hpower ε hε exact rectangular_power_cost_padding_bound ha hk hab (by linarith) hC hcost def rectangularBlockCost (a b R K : ℕ) : ℕ → ℕ | 0 => 1 | t + 1 => R * rectangularBlockCost a b R K t + K * ((a * b) ^ t + (a ^ 2) ^ t) @[simp] theorem rectangularBlockCost_zero (a b R K : ℕ) : rectangularBlockCost a b R K 0 = 1 := rfl @[simp] theorem rectangularBlockCost_succ (a b R K t : ℕ) : rectangularBlockCost a b R K (t + 1) = R * rectangularBlockCost a b R K t + K * ((a * b) ^ t + (a ^ 2) ^ t) := rfl theorem rectangularBlockCost_bound {a b R K : ℕ} (ha : 2 ≤ a) {τ ε : ℝ} (hε : 0 < ε) (hR : (R : ℝ) ≤ (a : ℝ) ^ τ) (hin : (a * b : ℕ) ≤ (a : ℝ) ^ τ) (hout : (a : ℝ) ^ (2 : ℕ) ≤ (a : ℝ) ^ τ) : ∃ C : ℝ, 0 < C ∧ ∀ t, (rectangularBlockCost a b R K t : ℝ) ≤ C * ((a : ℝ) ^ (τ + ε)) ^ t := by have haone : 1 < (a : ℝ) := by exact_mod_cast (by omega : 1 < a) have hrate : (R : ℝ) < (a : ℝ) ^ (τ + ε) := hR.trans_lt (Real.rpow_lt_rpow_of_exponent_lt haone (by linarith)) have hlarge : (a : ℝ) ^ τ ≤ (a : ℝ) ^ (τ + ε) := Real.rpow_le_rpow_of_exponent_le haone.le (by linarith) have hin0 : (0 : ℝ) ≤ (a * b : ℕ) := Nat.cast_nonneg _ have hd : 0 ≤ max ((a * b : ℕ) : ℝ) ((a : ℝ) ^ (2 : ℕ)) := hin0.trans (le_max_left _ _) apply MatrixMultiplication.Foundation.Arithmetic.geometric_cost_recurrence_bound (fun t => (rectangularBlockCost a b R K t : ℝ)) (R : ℝ) (2 * K) (max ((a * b : ℕ) : ℝ) ((a : ℝ) ^ (2 : ℕ))) ((a : ℝ) ^ (τ + ε)) (Nat.cast_nonneg _) (Nat.cast_nonneg _) (by positivity) hd hrate (max_le (hin.trans hlarge) (hout.trans hlarge)) intro t simp only [rectangularBlockCost_succ, Nat.cast_add, Nat.cast_mul, Nat.cast_pow] have h1 : ((a : ℝ) * (b : ℝ)) ^ t ≤ max ((a * b : ℕ) : ℝ) ((a : ℝ) ^ (2 : ℕ)) ^ t := by apply pow_le_pow_left₀ (by positivity) simpa only [Nat.cast_mul] using le_max_left ((a * b : ℕ) : ℝ) ((a : ℝ) ^ (2 : ℕ)) have h2 : ((a : ℝ) ^ (2 : ℕ)) ^ t ≤ max ((a * b : ℕ) : ℝ) ((a : ℝ) ^ (2 : ℕ)) ^ t := pow_le_pow_left₀ (sq_nonneg _) (le_max_right _ _) t simp only [Nat.cast_mul] at h1 h2 nlinarith [mul_le_mul_of_nonneg_left (add_le_add h1 h2) (Nat.cast_nonneg K)] theorem rectangular_power_programs_of_block_step {a b R K : ℕ} (hscalar : ∃ P : MatrixAlgorithm F 1 1 1, P.Correct ∧ P.cost ≤ 1) (hstep : ∀ m p : ℕ, ∀ P : MatrixAlgorithm F m p m, P.Correct → ∃ Q : MatrixAlgorithm F (a * m) (b * p) (a * m), Q.Correct ∧ Q.cost ≤ R * P.cost + K * (m * p + m ^ 2)) : ∀ t : ℕ, ∃ P : MatrixAlgorithm F (a ^ t) (b ^ t) (a ^ t), P.Correct ∧ P.cost ≤ rectangularBlockCost a b R K t := by intro t induction t with | zero => simpa using hscalar | succ t ih => obtain ⟨P, hP, hcost⟩ := ih obtain ⟨Q, hQ, hQcost⟩ := hstep (a ^ t) (b ^ t) P hP have hbound : Q.cost ≤ rectangularBlockCost a b R K (t + 1) := by apply hQcost.trans simp only [rectangularBlockCost_succ, mul_pow, ← pow_mul, Nat.mul_comm t 2] exact Nat.add_le_add_right (Nat.mul_le_mul_left R hcost) _ have hresult : ∃ Q : MatrixAlgorithm F (a * a ^ t) (b * b ^ t) (a * a ^ t), Q.Correct ∧ Q.cost ≤ rectangularBlockCost a b R K (t + 1) := ⟨Q, hQ, hbound⟩ exact (pow_succ' a t).symm ▸ ((pow_succ' b t).symm ▸ hresult) theorem rectangularAdmissibleExponent_of_block_step {a b R K : ℕ} (ha : 2 ≤ a) {k τ : ℝ} (hk : 0 ≤ k) (hab : (a : ℝ) ^ k ≤ (b : ℝ)) (hτ : 0 ≤ τ) (hR : (R : ℝ) ≤ (a : ℝ) ^ τ) (hin : (a * b : ℕ) ≤ (a : ℝ) ^ τ) (hout : (a : ℝ) ^ (2 : ℕ) ≤ (a : ℝ) ^ τ) (hscalar : ∃ P : MatrixAlgorithm F 1 1 1, P.Correct ∧ P.cost ≤ 1) (hstep : ∀ m p : ℕ, ∀ P : MatrixAlgorithm F m p m, P.Correct → ∃ Q : MatrixAlgorithm F (a * m) (b * p) (a * m), Q.Correct ∧ Q.cost ≤ R * P.cost + K * (m * p + m ^ 2)) : RectangularAdmissibleExponent F k τ := by apply rectangularAdmissibleExponent_of_power_costs ha hk hab hτ intro ε hε obtain ⟨C, hC, hbound⟩ := rectangularBlockCost_bound (K := K) ha hε hR hin hout refine ⟨C, hC, ?_⟩ intro t obtain ⟨P, hP, hcost⟩ := rectangular_power_programs_of_block_step hscalar hstep t exact ⟨P, hP, (by exact_mod_cast hcost : (P.cost : ℝ) ≤ (rectangularBlockCost a b R K t : ℝ)).trans (hbound t)⟩ end MatrixMultiplication.Arithmetic end end MatrixAllFields end OAI