import OAI.LinearAlgebra.MatrixMultiplication.Arithmetic.NaiveAlgorithm import OAI.LinearAlgebra.MatrixMultiplication.Arithmetic.LowerBound import OAI.LinearAlgebra.MatrixMultiplication.Arithmetic.Padding namespace OAI /-! Division-free arithmetic programs over a field and their operation counts. -/ noncomputable section namespace MatrixMultiplication.Arithmetic variable {F : Type*} [Field F] theorem AdmissibleExponent.mono {τ σ : ℝ} (hτ : AdmissibleExponent F τ) (hτσ : τ ≤ σ) : AdmissibleExponent F σ := by intro ε hε obtain ⟨C, hC, hbound⟩ := hτ ε hε refine ⟨C, hC, ?_⟩ intro n hn obtain ⟨P, hP, hcost⟩ := hbound n hn refine ⟨P, hP, hcost.trans ?_⟩ apply mul_le_mul_of_nonneg_left _ hC.le exact Real.rpow_le_rpow_of_exponent_le (by exact_mod_cast hn) (add_le_add_left hτσ ε) theorem omega_two_le : 2 ≤ omega F := le_csInf admissibleExponent_nonempty (fun _ hτ => admissibleExponent_two_le hτ) theorem omega_nonneg : 0 ≤ omega F := le_trans (by norm_num) omega_two_le theorem omega_le_three : omega F ≤ 3 := omega_le_of_admissibleExponent admissibleExponent_three theorem omega_admissibleExponent : AdmissibleExponent F (omega F) := by intro ε hε have hhalf : 0 < ε / 2 := half_pos hε obtain ⟨τ, hτ, hclose⟩ := exists_lt_of_csInf_lt admissibleExponent_nonempty (show sInf {σ : ℝ | AdmissibleExponent F σ} < omega F + ε / 2 from lt_add_of_pos_right (omega F) hhalf) obtain ⟨C, hC, hbound⟩ := hτ (ε / 2) hhalf refine ⟨C, hC, ?_⟩ intro n hn obtain ⟨P, hP, hcost⟩ := hbound n hn refine ⟨P, hP, hcost.trans ?_⟩ apply mul_le_mul_of_nonneg_left _ hC.le exact Real.rpow_le_rpow_of_exponent_le (by exact_mod_cast hn) (by linarith) theorem admissibleExponent_iff_omega_le {τ : ℝ} : AdmissibleExponent F τ ↔ omega F ≤ τ := ⟨omega_le_of_admissibleExponent, omega_admissibleExponent.mono⟩ theorem RectangularAdmissibleExponent.mono {k τ σ : ℝ} (hτ : RectangularAdmissibleExponent F k τ) (hτσ : τ ≤ σ) : RectangularAdmissibleExponent F k σ := by intro ε hε obtain ⟨C, hC, hbound⟩ := hτ ε hε refine ⟨C, hC, ?_⟩ intro n hn obtain ⟨P, hP, hcost⟩ := hbound n hn refine ⟨P, hP, hcost.trans ?_⟩ apply mul_le_mul_of_nonneg_left _ hC.le exact Real.rpow_le_rpow_of_exponent_le (by exact_mod_cast hn) (add_le_add_left hτσ ε) theorem rectangularAdmissibleExponent_of_uniform_costs {k τ C : ℝ} (hC : 0 < C) (hbound : ∀ n : ℕ, 1 ≤ n → ∃ P : MatrixAlgorithm F n (innerSize n k) n, P.Correct ∧ (P.cost : ℝ) ≤ C * (n : ℝ) ^ τ) : RectangularAdmissibleExponent F k τ := by intro ε hε refine ⟨C, hC, ?_⟩ intro n hn obtain ⟨P, hP, hcost⟩ := hbound n hn refine ⟨P, hP, hcost.trans ?_⟩ apply mul_le_mul_of_nonneg_left _ hC.le exact Real.rpow_le_rpow_of_exponent_le (by exact_mod_cast hn) (le_add_of_nonneg_right hε.le) theorem rectangularAdmissibleExponent_naive (k : ℝ) : RectangularAdmissibleExponent F k (2 + max k 0) := by apply rectangularAdmissibleExponent_of_uniform_costs (C := 4) (by norm_num) intro n hn refine ⟨naiveAlgorithm n (innerSize n k) n, naiveAlgorithm_correct n (innerSize n k) n, ?_⟩ have hnpos : 0 < (n : ℝ) := by exact_mod_cast (lt_of_lt_of_le Nat.zero_lt_one hn) have hinner : (innerSize n k : ℝ) ≤ 2 * (n : ℝ) ^ max k 0 := (Nat.cast_le.mpr (innerSize_mono hn (le_max_left k 0))).trans (innerSize_cast_le hn (le_max_right k 0)) rw [naiveAlgorithm_cost] push_cast calc 2 * (n : ℝ) * innerSize n k * n = 2 * (n : ℝ) ^ 2 * innerSize n k := by ring _ ≤ 2 * (n : ℝ) ^ 2 * (2 * (n : ℝ) ^ max k 0) := mul_le_mul_of_nonneg_left hinner (by positivity) _ = 4 * (n : ℝ) ^ (2 + max k 0) := by rw [Real.rpow_add hnpos] norm_num ring theorem rectangularAdmissibleExponent_nonempty (k : ℝ) : Set.Nonempty {τ : ℝ | RectangularAdmissibleExponent F k τ} := ⟨2 + max k 0, rectangularAdmissibleExponent_naive k⟩ theorem rectangularOmega_two_le (k : ℝ) : 2 ≤ rectangularOmega F k := le_csInf (rectangularAdmissibleExponent_nonempty k) (fun _ hτ => rectangularAdmissibleExponent_two_le hτ) theorem rectangularOmega_admissibleExponent (k : ℝ) : RectangularAdmissibleExponent F k (rectangularOmega F k) := by intro ε hε have hhalf : 0 < ε / 2 := half_pos hε obtain ⟨τ, hτ, hclose⟩ := exists_lt_of_csInf_lt (rectangularAdmissibleExponent_nonempty k) (show sInf {σ : ℝ | RectangularAdmissibleExponent F k σ} < rectangularOmega F k + ε / 2 from lt_add_of_pos_right (rectangularOmega F k) hhalf) obtain ⟨C, hC, hbound⟩ := hτ (ε / 2) hhalf refine ⟨C, hC, ?_⟩ intro n hn obtain ⟨P, hP, hcost⟩ := hbound n hn refine ⟨P, hP, hcost.trans ?_⟩ apply mul_le_mul_of_nonneg_left _ hC.le exact Real.rpow_le_rpow_of_exponent_le (by exact_mod_cast hn) (by linarith) theorem rectangularAdmissibleExponent_iff_omega_le {k τ : ℝ} : RectangularAdmissibleExponent F k τ ↔ rectangularOmega F k ≤ τ := ⟨rectangularOmega_le_of_admissibleExponent, (rectangularOmega_admissibleExponent k).mono⟩ theorem rectangularOmega_mono {k l : ℝ} (hkl : k ≤ l) : rectangularOmega F k ≤ rectangularOmega F l := rectangularOmega_le_of_admissibleExponent ((rectangularOmega_admissibleExponent l).mono_aspect hkl) @[simp] theorem rectangularOmega_zero : rectangularOmega F 0 = 2 := by apply le_antisymm _ (rectangularOmega_two_le 0) apply rectangularOmega_le_of_admissibleExponent simpa using (rectangularAdmissibleExponent_naive (F := F) 0) theorem complexAlpha_set_nonempty : Set.Nonempty {k : ℝ | k ∈ Set.Icc 0 1 ∧ rectangularOmega ℂ k = 2} := ⟨0, ⟨by norm_num, by norm_num⟩, rectangularOmega_zero⟩ theorem complexAlpha_set_bddAbove : BddAbove {k : ℝ | k ∈ Set.Icc 0 1 ∧ rectangularOmega ℂ k = 2} := ⟨1, fun _ h => h.1.2⟩ theorem le_complexAlpha {k : ℝ} (hk : k ∈ Set.Icc 0 1) (hω : rectangularOmega ℂ k = 2) : k ≤ complexAlpha := le_csSup complexAlpha_set_bddAbove ⟨hk, hω⟩ theorem complexAlpha_le_one : complexAlpha ≤ 1 := csSup_le complexAlpha_set_nonempty (fun _ h => h.1.2) theorem complexAlpha_nonneg : 0 ≤ complexAlpha := le_complexAlpha ⟨le_refl 0, by norm_num⟩ rectangularOmega_zero end MatrixMultiplication.Arithmetic end end OAI