Strong limit theorem for largest entry of large-dimensional random tensor

IF 0.9 4区 数学 Q4 PHYSICS, MATHEMATICAL
Xue Ding
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引用次数: 0

Abstract

Suppose that [Formula: see text] are i.i.d. copies of random vector [Formula: see text]. Let [Formula: see text] then the random tensor product constructed by [Formula: see text] is defined by [Formula: see text] In this paper, we obtain the strong limit theorems of the largest entry of large-dimensional random tensor product [Formula: see text] under two high-dimensional settings the polynomial rate and the exponential rate. The conclusions are established under weaker moment condition than the exist papers and the relationship between [Formula: see text] and [Formula: see text] is more flexible.
大维随机张量最大入口的强极限定理
假设[公式:见文本]是随机向量[公式:见文本]的i.d个副本。设[公式:见文],则由[公式:见文]构造的随机张量积由[公式:见文]定义。本文在多项式率和指数率两种高维设置下,得到了大维随机张量积[公式:见文]的最大入口的强极限定理。结论是在较弱的力矩条件下建立的,且[公式:见文]与[公式:见文]之间的关系更加灵活。
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
Random Matrices-Theory and Applications
Random Matrices-Theory and Applications Decision Sciences-Statistics, Probability and Uncertainty
CiteScore
1.90
自引率
11.10%
发文量
29
期刊介绍: Random Matrix Theory (RMT) has a long and rich history and has, especially in recent years, shown to have important applications in many diverse areas of mathematics, science, and engineering. The scope of RMT and its applications include the areas of classical analysis, probability theory, statistical analysis of big data, as well as connections to graph theory, number theory, representation theory, and many areas of mathematical physics. Applications of Random Matrix Theory continue to present themselves and new applications are welcome in this journal. Some examples are orthogonal polynomial theory, free probability, integrable systems, growth models, wireless communications, signal processing, numerical computing, complex networks, economics, statistical mechanics, and quantum theory. Special issues devoted to single topic of current interest will also be considered and published in this journal.
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