The Multivariate Rate of Convergence for Selberg's Central Limit Theorem
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arXiv
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| Format: | Preprint |
| Publié: |
2022
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| _version_ | 1866910354159697920 |
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| author | Roberts, Asher |
| author_facet | Roberts, Asher |
| contents | In this paper we quantify the rate of convergence in Selberg's central limit theorem for $\log|ζ(1/2+it)|$ based on the method of proof given by Radziwill and Soundararajan. We achieve the same rate of convergence of $(\log\log\log T)^2/\sqrt{\log\log T}$ 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2212_01411 |
| institution | arXiv |
| publishDate | 2022 |
| record_format | arxiv |
| spellingShingle | The Multivariate Rate of Convergence for Selberg's Central Limit Theorem Roberts, Asher Probability Number Theory 11M06, 60F05 In this paper we quantify the rate of convergence in Selberg's central limit theorem for $\log|ζ(1/2+it)|$ based on the method of proof given by Radziwill and Soundararajan. We achieve the same rate of convergence of $(\log\log\log T)^2/\sqrt{\log\log T}$ 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. |
| title | The Multivariate Rate of Convergence for Selberg's Central Limit Theorem |
| topic | Probability Number Theory 11M06, 60F05 |
| url | https://arxiv.org/abs/2212.01411 |