Liu's genuine-li Selberg main-term instantiation #
This module combines the proved reciprocal-log transfer and optimized Selberg coefficient with the finite component-bound theorem. The source-facing result retains the evenness and nonempty-cutoff implications required by the optimized weight construction.
theorem
MathlibNt.SieveTheory.LiuWeight.eventually_liuGenuineLiWeightMainSumBound
(kappa : ℝ)
(hκ : 0 ≤ kappa)
(eta : ℝ)
(heta : 0 < eta)
:
∃ (N₀ : ℕ), ∀ (N : ℕ), N₀ ≤ N → LiuGenuineLiWeightMainSumBound kappa (0.49254 + eta) N
Unconditional eventual form of Liu's genuine logarithmic-integral weight-sum estimate.
Exact coefficient error used in the assembled M₁ estimate.
Equations
- MathlibNt.SieveTheory.LiuWeight.liuM1Delta = 1 / 10000000
Instances For
Exact genuine-logarithmic-integral error used in the assembled M₁
estimate.
Equations
- MathlibNt.SieveTheory.LiuWeight.liuM1Eta = 1 / 10000000
Instances For
theorem
MathlibNt.SieveTheory.LiuWeight.eventually_exists_liuGenuineLiSelbergMainTermUpperBound
(kappa : ℝ)
(hκ : 0 ≤ kappa)
:
∃ (epsilon0 : ℝ),
0 < epsilon0 ∧ ∀ (epsilon : ℝ),
0 < epsilon →
epsilon ≤ epsilon0 →
∀ᶠ (N : ℕ) in Filter.atTop, Even N →
1 ≤ paperQSourceCutoff N epsilon →
∃ (SW : SelbergUpperBound.SelbergWeights N epsilon),
LiuSelbergLambdaAdmissible N epsilon SW.lambda ∧ LiuSelbergMainTermUpperBound kappa N epsilon SW.lambda
For every nonnegative normalization, Liu's proved source estimates furnish
an eventual family of admissible Selberg weights satisfying the printed M₁
main-term bound.