Pair correlation of real-valued vector sequences

Sneha Chaubey, Shivani Goel
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Abstract

In this article, we investigate the fine-scale statistics of real-valued arithmetic sequences. In particular, we focus on real-valued vector sequences, generalizing previous works of Boca et al. and the first author on the local statistics of integer-valued and rational-valued vector sequences, respectively. As the main results, we prove the Poissonian behavior of the pair correlation function for certain classes of real-valued vector sequences. This is achieved by extrapolating conditions on the number of solutions of Diophantine inequalities using twisted moments of the Riemann zeta function. Later, we give concrete examples of sequences in this set-up where these conditions are satisfied.

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实值向量序列的成对相关性
在本文中,我们研究了实值算术序列的微尺度统计。我们特别关注实值向量数列,概括了 Boca 等人和第一作者之前分别关于整数值向量数列和有理值向量数列局部统计的研究成果。作为主要结果,我们证明了某些类别的实值向量序列的对相关函数的泊松行为。这是通过利用黎曼zeta函数的扭曲矩推断 Diophantine 不等式解的数量条件实现的。稍后,我们将给出满足这些条件的序列的具体例子。
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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