OAI/NumberTheory/JointDickman/Amplification/SingleRegularityLoss.lean
2 declarations, 0 contain sorry, 0 declared as axioms
The one-weight regularity-loss estimate
- theorem
OAI.JointDickman.coefficient_truncation_loss_boundline 13 - theorem
OAI.JointDickman.single_coefficient_regularity_lossline 28Source 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