OAI/NumberTheory/JointDickman/Amplification/SingleRegularityLoss.lean

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The one-weight regularity-loss estimate

  1. theorem OAI.JointDickman.coefficient_truncation_loss_bound line 13
  2. theorem OAI.JointDickman.single_coefficient_regularity_loss line 28

    Source documentation

    The first-moment version of manuscript (9), with an error sequence independent of the interval and the tail cutoff.

    theorem single_coefficient_regularity_loss
        (hFord : PublishedInputs.FordUpperSieveInput)
        (hM : PublishedInputs.PrimeReciprocalMertensInput)
        {δ : ℝ} (hδ : 0 < δ) (hδ32 : δ ≤ 32) :
        ∃ K : ℝ, 0 < K ∧ ∀ (L : ℕ) (τ : ℝ), 0 < L → 0 < τ →
          ∃ ε : ℕ → ℝ, (∀ B, 0 ≤ ε B) ∧ Tendsto ε atTop (𝓝 0) ∧
            ∀ᶠ B : ℕ in atTop, ∀ (C : ℝ) (u v : ℕ), 0 ≤ C → u ≤ v →
              Real.exp (δ * B) ≤ (v : ℝ) - u →
              (∑ n ∈ Ico u v, (coefficientWeight B n - regularCoefficientWeight B L τ C n)) ≤
                K * ((v : ℝ) - u) * (ε B + Real.exp (-(1 / 10 : ℝ) * C)) := by
    …

    Mentions: OAI.JointDickman.PublishedInputs.FordUpperSieveInput, OAI.JointDickman.PublishedInputs.PrimeReciprocalMertensInput, OAI.JointDickman.coefficientWeight, OAI.JointDickman.regularCoefficientWeight