English

The Multivariate Rate of Convergence for Selberg's Central Limit Theorem

Probability 2024-03-06 v2 Number Theory

Abstract

In this paper we quantify the rate of convergence in Selberg's central limit theorem for logζ(1/2+it)\log|\zeta(1/2+it)| based on the method of proof given by Radziwill and Soundararajan. We achieve the same rate of convergence of (logloglogT)2/loglogT(\log\log\log T)^2/\sqrt{\log\log T} as Selberg in the Kolmogorov distance by using the Dudley distance instead. We also prove the theorem for the multivariate case given by Bourgade with the same rate of convergence as in the single variable case.

Keywords

Cite

@article{arxiv.2212.01411,
  title  = {The Multivariate Rate of Convergence for Selberg's Central Limit Theorem},
  author = {Asher Roberts},
  journal= {arXiv preprint arXiv:2212.01411},
  year   = {2024}
}

Comments

Some corrections and additions, now 23 pages