Tail bounds for counts of zeros and eigenvalues, and an application to ratios
Abstract
Let be random and uniformly distributed in the interval , and consider the quantity , a count of zeros of the Riemann zeta function in a box of height . Conditioned on the Riemann hypothesis, we show that the probability this count is greater than decays at least as quickly as , uniformly in . We also prove a similar results for the logarithmic derivative of the zeta function, and likewise analogous results for the eigenvalues of a random unitary matrix. We use results of this sort to show on the Riemann hypothesis that the averages remain bounded as , for complex numbers with . Moreover we show rigorously that the local distribution of zeros asymptotically controls ratio averages like the above; that is, the GUE Conjecture implies a (first-order) ratio conjecture.
Keywords
Cite
@article{arxiv.1502.05658,
title = {Tail bounds for counts of zeros and eigenvalues, and an application to ratios},
author = {Brad Rodgers},
journal= {arXiv preprint arXiv:1502.05658},
year = {2017}
}
Comments
37 pages. Incorporates referee suggestions