English

Chebyshev's bias for analytic L-functions

Number Theory 2019-04-01 v4

Abstract

In this paper we discuss the generalizations of the concept of Chebyshev's bias from two perspectives. First we give a general framework for the study of prime number races and Chebyshev's bias attached to general LL-functions satisfying natural analytic hypotheses. This extends the cases previously considered by several authors and involving, among others, Dirichlet LL-functions and Hasse--Weil LL-functions of elliptic curves over Q\mathbf{Q}. This also apply to new Chebyshev's bias phenomena that were beyond the reach of the previously known cases. In addition we weaken the required hypotheses such as GRH or linear independence properties of zeros of LL-functions. In particular we establish the existence of the logarithmic density of the set {x2:pxλf(p)0}\lbrace x\geq 2 : \sum_{p\leq x} \lambda_{f}(p) \geq 0 \rbrace for coefficients (λf(p))(\lambda_{f}(p)) of general LL-functions conditionally on a much weaker hypothesis than was previously known.

Keywords

Cite

@article{arxiv.1706.06394,
  title  = {Chebyshev's bias for analytic L-functions},
  author = {Lucile Devin},
  journal= {arXiv preprint arXiv:1706.06394},
  year   = {2019}
}

Comments

8 figures, exposition improved including more details on Kronecker--Weyl Equidistribution Theorem

R2 v1 2026-06-22T20:23:50.442Z