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MathlibNt.SieveTheory.Liu.Weights.LiuWeightROuter

Liu's eqn-r distribution majorant #

This module formalizes the finite distribution majorant displayed in Liu (2022), eqn-r, for an arbitrary main-term model. The source expression is a sum of termwise absolute inner errors, not the absolute value of a signed outer sum. The coprime estimate remains an explicit analytic proposition; the non-coprime endpoint is supplied by the genuine logarithmic-integral development.

No Selberg remainder R, Pan Type I/II estimate, or signed-main-term estimate is asserted here.

Main-parametric inner sums #

noncomputable def MathlibNt.SieveTheory.LiuWeight.liuMainFullSum (main : ) (Y X d l : ) (f : ) :

The unrestricted finite inner distribution sum for an arbitrary main-term model.

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    noncomputable def MathlibNt.SieveTheory.LiuWeight.liuMainCoprimeSum (main : ) (Y X d l : ) (f : ) :

    The coprime finite inner distribution sum for an arbitrary main-term model.

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      theorem MathlibNt.SieveTheory.LiuWeight.liuMainFullSum_eq_coprime_add_noncoprime (main : ) (Y X d l : ) (f : ) :
      liuMainFullSum main Y X d l f = liuMainCoprimeSum main Y X d l f + liuMainNoncoprimeSum main Y X d l f

      Exact finite partition of the unrestricted sum into its coprime and non-coprime parts.

      Proxy compatibility. The unrestricted main-parametric sum specializes to ANT's historical x / log x Pan object. This is not a true-li claim.

      Proxy compatibility. The coprime main-parametric sum specializes to ANT's historical x / log x Pan object. This is not a true-li claim.

      Neutral signed weighted sums #

      The neutral non-coprime signed weighted sum is bounded by the existing termwise R₁ majorant.

      The source eqn-r absolute majorants #

      Liu's source divisor cutoff ⌊N^(1/2-ε)⌋ from eqn-r.

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        For nonnegative ε, the source cutoff is no larger than the auxiliary cutoff D₂ = ⌊N^(1/2)⌋.

        Termwise triangle inequality followed by the nonnegative extension from to D₂ bounds the exact full eqn-r distribution majorant by its coprime part and the established non-coprime majorant.

        Conditional coprime input and genuine-integral endpoint #

        The remaining coprime Pan estimate for Liu's exact eqn-r absolute majorant. This proposition transparently contains the inverse-log inequality used by the outer bound.

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          Liu's exact eqn-r distribution majorant for the genuine normalized logarithmic integral, conditional only on the explicitly retained coprime inverse-log estimate. The N^(9/10) log(N)^2 term is not absorbed.