import Mathlib.Analysis.SpecialFunctions.Pow.Continuity import Mathlib.Analysis.SpecificLimits.Basic import Mathlib.Tactic namespace OAI /-! # Removing positive slack from the spectral inequality The positive slack in the exponent can be sent to zero with the matrix size fixed. A bound at all positive natural sizes then removes a fixed additive error term. -/ namespace MatrixMultiplication.AuxiliarySeparation open Filter Topology /-- Continuity removes the positive slack in the spectral exponent. -/ theorem spectral_bound_of_positive_slack {ν k D : ℝ} {d n : ℕ} (hν : 0 < ν) (hn : 1 ≤ n) (hbound : ∀ δ : ℝ, 0 < δ → (d : ℝ) ^ ν * (n : ℝ) ^ (ν / (ν + δ)) ≤ (n : ℝ) * k + D) : (d : ℝ) ^ ν * (n : ℝ) ≤ (n : ℝ) * k + D := by have hn0 : (n : ℝ) ≠ 0 := by have : (0 : ℝ) < n := by exact_mod_cast (lt_of_lt_of_le Nat.zero_lt_one hn) exact this.ne' have hδ : Tendsto (fun m : ℕ => 1 / ((m : ℝ) + 1)) atTop (𝓝 0) := tendsto_one_div_add_atTop_nhds_zero_nat have hdenom : Tendsto (fun m : ℕ => ν + 1 / ((m : ℝ) + 1)) atTop (𝓝 ν) := by simpa only [add_zero] using (tendsto_const_nhds (x := ν)).add hδ have hexponent : Tendsto (fun m : ℕ => ν / (ν + 1 / ((m : ℝ) + 1))) atTop (𝓝 1) := by have h : Tendsto (fun m : ℕ => ν / (ν + 1 / ((m : ℝ) + 1))) atTop (𝓝 (ν / ν)) := by exact (tendsto_const_nhds (x := ν)).div hdenom hν.ne' rwa [div_self hν.ne'] at h have hpower : Tendsto (fun m : ℕ => (d : ℝ) ^ ν * (n : ℝ) ^ (ν / (ν + 1 / ((m : ℝ) + 1)))) atTop (𝓝 ((d : ℝ) ^ ν * (n : ℝ))) := by simpa using tendsto_const_nhds.mul ((Real.continuousAt_const_rpow hn0).tendsto.comp hexponent) exact le_of_tendsto' hpower fun m => hbound _ (by positivity) /-- A fixed additive error cannot enlarge a coefficient bounded at every positive natural size. -/ theorem coefficient_le_of_nat_mul_bound {a k D : ℝ} (hbound : ∀ n : ℕ, 1 ≤ n → a * (n : ℝ) ≤ (n : ℝ) * k + D) : a ≤ k := by by_contra h have hgap : 0 < a - k := sub_pos.mpr (lt_of_not_ge h) obtain ⟨n, hn⟩ := exists_nat_gt (max (D / (a - k)) 0) have hn0 : (0 : ℝ) < n := lt_of_le_of_lt (le_max_right _ _) hn have hn1 : 1 ≤ n := by have : 0 < n := by exact_mod_cast hn0 omega have hlarge : D < (n : ℝ) * (a - k) := (div_lt_iff₀ hgap).mp (lt_of_le_of_lt (le_max_left _ _) hn) have hsmall := hbound n hn1 nlinarith /-- Uniform spectral inequalities for all positive sizes and all positive slacks force the desired coefficient bound. -/ theorem spectral_coefficient_le_of_all_nat {ν k D : ℝ} {d : ℕ} (hν : 0 < ν) (hbound : ∀ n : ℕ, 1 ≤ n → ∀ δ : ℝ, 0 < δ → (d : ℝ) ^ ν * (n : ℝ) ^ (ν / (ν + δ)) ≤ (n : ℝ) * k + D) : (d : ℝ) ^ ν ≤ k := by apply coefficient_le_of_nat_mul_bound intro n hn exact spectral_bound_of_positive_slack hν hn (hbound n hn) end MatrixMultiplication.AuxiliarySeparation end OAI