Abstract
In this paper we quantify the rate of convergence in Selberg’s central limit theorem for based on the method of proof given by Radziwiłł and Soundararajan in (Enseign. Math. 63 (2017) 1–19). We achieve the same rate of convergence of as Selberg in (In Proceedings of the Amalfi Conference on Analytic Number Theory (Maiori, 1989) Univ (1992) 367–385) in the Kolmogorov distance by using the Dudley distance instead. We also prove the theorem for the multivariate case given by Bourgade in (Probab. Theory Related Fields 148 (2010) 479–500) with the same rate of convergence as in the single variable case.
Funding Statement
Partial support is provided by Grants NSF CAREER 1653602 and NSF DMS-2153803.
Acknowledgments
I give thanks to Prof. Louis-Pierre Arguin for his unending support and guidance throughout the preparation of this paper. I also thank the reviewer for providing considered and impactful revision suggestions, including pointing out the subtle need for the precise variance introduced in Propositions 5 to 7. In addition, I would like to thank Emma Bailey for her insightful comments, and everyone else who read through the paper and offered edits. Your feedback is very much appreciated.
Citation
Asher Roberts. "The multivariate rate of convergence for Selberg’s central limit theorem." Ann. Appl. Probab. 34 (3) 3348 - 3369, June 2024. https://doi.org/10.1214/23-AAP2042
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