Finite Rank Perturbations of Heavy-Tailed Wigner Matrices

IF 0.9 4区 数学 Q4 PHYSICS, MATHEMATICAL Random Matrices-Theory and Applications Pub Date : 2023-10-27 DOI:10.1142/s2010326323500119
Simona Diaconu
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引用次数: 4

Abstract

One-rank perturbations of Wigner matrices have been closely studied: let [Formula: see text] with [Formula: see text] symmetric, [Formula: see text] i.i.d. with centered standard normal distributions, and [Formula: see text] It is well known [Formula: see text] the largest eigenvalue of [Formula: see text] has a phase transition at [Formula: see text]: when [Formula: see text] [Formula: see text] whereas for [Formula: see text] [Formula: see text] Under more general conditions, the limiting behavior of [Formula: see text] appropriately normalized, has also been established: it is normal if [Formula: see text] or the convolution of the law of [Formula: see text] and a Gaussian distribution if [Formula: see text] is concentrated on one entry. These convergences require a finite fourth moment, and this paper considers situations violating this condition. For symmetric distributions [Formula: see text] heavy-tailed with index [Formula: see text] the fluctuations are shown to be universal and dependent on [Formula: see text] but not on [Formula: see text] whereas a subfamily of the edge case [Formula: see text] displays features of both the light- and heavy-tailed regimes: two limiting laws emerge and depend on whether [Formula: see text] is localized, each presenting a continuous phase transition at [Formula: see text] respectively. These results build on our previous work which analyzes the asymptotic behavior of [Formula: see text] in the aforementioned subfamily.
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重尾Wigner矩阵的有限秩摄动
魏格纳矩阵的阶扰动密切研究:让[公式:看到文本][公式:看到文本]对称,[公式:看到文本]i.i.d.集中标准正态分布,和[公式:看到文本]众所周知[公式:看到文本]最大的特征值公式:看到文本有相变(公式:看到文本):当[公式:看到文本][公式:看到文本]而对于[公式:看到文本][公式:在更一般的条件下,[公式:见文]的极限行为也得到了适当的归一化:如果[公式:见文]是正态的,如果[公式:见文]集中在一个条目上,则[公式:见文]与[公式:见文]定律的卷积是高斯分布。这些收敛需要有限的第四矩,本文考虑了违反这个条件的情况。对于对称分布[公式:见文],有索引的重尾[公式:见文],涨落是普遍的,依赖于[公式:见文],但不依赖于[公式:见文],而边缘情况的一个亚族[公式:见文]显示了轻尾和重尾状态的特征:出现了两个极限定律,并取决于[公式:见文]是否局部化,每个定律分别在[公式:见文]处呈现连续相变。这些结果建立在我们之前的工作基础上,该工作分析了上述子族中的[公式:见文本]的渐近行为。
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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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