Intermediate-scale statistics for real-valued lacunary sequences

IF 0.6 3区 数学 Q3 MATHEMATICS
Nadav Yesha
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引用次数: 2

Abstract

Abstract We study intermediate-scale statistics for the fractional parts of the sequence $\left(\alpha a_{n}\right)_{n=1}^{\infty}$ , where $\left(a_{n}\right)_{n=1}^{\infty}$ is a positive, real-valued lacunary sequence, and $\alpha\in\mathbb{R}$ . In particular, we consider the number of elements $S_{N}\!\left(L,\alpha\right)$ in a random interval of length $L/N$ , where $L=O\!\left(N^{1-\epsilon}\right)$ , and show that its variance (the number variance) is asymptotic to L with high probability w.r.t. $\alpha$ , which is in agreement with the statistics of uniform i.i.d. random points in the unit interval. In addition, we show that the same asymptotic holds almost surely in $\alpha\in\mathbb{R}$ when $L=O\!\left(N^{1/2-\epsilon}\right)$ . For slowly growing L, we further prove a central limit theorem for $S_{N}\!\left(L,\alpha\right)$ which holds for almost all $\alpha\in\mathbb{R}$ .
实值空白序列的中等规模统计量
摘要研究了数列$\left(\alpha a_{n}\right)_{n=1}^{\infty}$的小数部分的中尺度统计量,其中$\left(a_{n}\right)_{n=1}^{\infty}$是一个正的实值空白数列,$\alpha\in\mathbb{R}$。特别地,我们考虑长度为$L/N$,其中$L=O\!\left(N^{1-\epsilon}\right)$的随机区间中的元素个数$S_{N}\!\left(L,\alpha\right)$,并证明其方差(数量方差)以高概率w.r.t. $\alpha$渐近于L,这与单位区间内均匀i.i.d.随机点的统计量一致。此外,当$L=O\!\left(N^{1/2-\epsilon}\right)$时,我们证明了相同的渐近在$\alpha\in\mathbb{R}$几乎肯定成立。对于缓慢增长的L,我们进一步证明了$S_{N}\!\left(L,\alpha\right)$的中心极限定理,该定理几乎适用于所有$\alpha\in\mathbb{R}$。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
1.70
自引率
0.00%
发文量
39
审稿时长
6-12 weeks
期刊介绍: Papers which advance knowledge of mathematics, either pure or applied, will be considered by the Editorial Committee. The work must be original and not submitted to another journal.
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