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arXiv 1807.04860math.PRmath.NT
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随机模型$\log |ζ|$在临界线上导数的大偏差和连续性估计

Large deviations and continuity estimates for the derivative of a random model of $\log |ζ|$ on the critical line

Louis-Pierre Arguin, Frédéric Ouimet

摘要:

本文研究了随机场\begin{equation*} X(h) \circeq \sum_{p \leq T} \frac{\text{Re}(U_p \, p^{-i h})}{p^{1/2}}, \quad h\in [0,1], \end{equation*},其中$(U_p, \, p ~\text{primes})$是独立同分布的. $\mathbb{C}$中单位圆上的均匀随机变量序列。Harper(2013)表明,如果我们假设黎曼假设,当$T$较大时,$(X(h), \, h\in (0,1))$是$(\log |ζ(\frac{1}{2} + i (T + h))|, \, h\in [0,1])$较大值的良好模型。最大值的渐近性在Arguin,Belius & Harper(2017)中被发现,直到二阶,但是重中心最大值的紧密性仍然是一个悬而未决的问题。作为第一步,我们提供大偏差估计和连续性估计字段的衍生$X'(h)$。主要结果表明,当概率任意接近$1$时,有\begin{equation*} \max_{h\in [0,1]} X(h) - \max_{h\in \mathcal{S}} X(h) = O(1), \end{equation*},其中$\mathcal{S}$是包含$O(\log T \sqrt{\log \log T})$点的离散集.

英文摘要:

In this paper, we study the random field \begin{equation*} X(h) \circeq \sum_{p \leq T} \frac{\text{Re}(U_p \, p^{-i h})}{p^{1/2}}, \quad h\in [0,1], \end{equation*} where $(U_p, \, p ~\text{primes})$ is an i.i.d. sequence of uniform random variables on the unit circle in $\mathbb{C}$. Harper (2013) showed that $(X(h), \, h\in (0,1))$ is a good model for the large values of $(\log |ζ(\frac{1}{2} + i (T + h))|, \, h\in [0,1])$ when $T$ is large, if we assume the Riemann hypothesis. The asymptotics of the maximum were found in Arguin, Belius & Harper (2017) up to the second order, but the tightness of the recentered maximum is still an open problem. As a first step, we provide large deviation estimates and continuity estimates for the field's derivative $X'(h)$. The main result shows that, with probability arbitrarily close to $1$, \begin{equation*} \max_{h\in [0,1]} X(h) - \max_{h\in \mathcal{S}} X(h) = O(1), \end{equation*} where $\mathcal{S}$ a discrete set containing $O(\log T \sqrt{\log \log T})$ points.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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