From extreme values of i.i.d. random fields to extreme eigenvalues of finite-volume Anderson Hamiltonian

IF 1.3 Q2 STATISTICS & PROBABILITY
A. Astrauskas
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引用次数: 26

Abstract

The aim of this paper is to study asymptotic geometric properties almost surely or/and in probability of extreme order statistics of an i.i.d. random field (potential) indexed by sites of multidimensional lattice cube, the volume of which unboundedly increases. We discuss the following topics: (I) high level exceedances, in particular, clustering of exceedances; (II) decay rate of spacings in comparison with increasing rate of extreme order statistics; (III) minimum of spacings of successive order statistics; (IV) asymptotic behavior of values neighboring to extremes and so on. The conditions of the results are formulated in terms of regular variation (RV) of the cumulative hazard function and its inverse. A relationship between RV classes of the present paper as well as their links to the well-known RV classes (including domains of attraction of max-stable distributions) are discussed. The asymptotic behavior of functionals (I)–(IV) determines the asymptotic structure of the top eigenvalues and the corresponding eigenfunctions of the large-volume discrete Schrodinger operators with an i.i.d. potential (Anderson Hamiltonian). Thus, another aim of the present paper is to review and comment a recent progress on the extreme value theory for eigenvalues of random Schrodinger operators as well as to provide a clear and rigorous understanding of the relationship between the top eigenvalues and extreme values of i.i.d. random potentials. We also discuss their links to the long-time intermittent behavior of the parabolic problems associated with the Anderson Hamiltonian via spectral representation of solutions.
从i.i.d随机场的极值到有限体积安德森哈密顿算子的极值特征值
本文的目的是研究体积无界增加的多维格立方点索引的i.i.d随机场(势)的几乎确定或/和极序统计量的渐近几何性质。我们将讨论以下主题:(I)高水平超标,特别是超标的聚集性;(II)与极值阶统计量的增长率相比,间隔的衰减率;(3)连续序统计量的最小间隔;(4)逼近极值的渐近性等。结果的条件用累积风险函数的正则变分及其逆表示。讨论了本文的RV类之间的关系以及它们与已知的RV类(包括极大稳定分布的吸引域)的联系。泛函(I) - (IV)的渐近性质决定了具有iid势的大体积离散薛定谔算子(Anderson hamilton)的顶特征值及其对应的特征函数的渐近结构。因此,本文的另一个目的是回顾和评论随机薛定谔算子的特征值极值理论的最新进展,并提供一个清晰和严格的理解i.i.d随机势的顶特征值和极值之间的关系。我们还通过解的谱表示讨论了它们与与安德森哈密顿量相关的抛物问题的长时间间歇行为的联系。
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
Probability Surveys
Probability Surveys STATISTICS & PROBABILITY-
CiteScore
4.70
自引率
0.00%
发文量
9
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