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矩的矩与分支随机游走

Moments of Moments and Branching Random Walks.

作者信息

Bailey E C, Keating J P

机构信息

School of Mathematics, University of Bristol, Bristol, BS8 1UG UK.

Mathematical Institute, University of Oxford, Oxford, OX2 6GG UK.

出版信息

J Stat Phys. 2021;182(1):20. doi: 10.1007/s10955-020-02696-9. Epub 2021 Jan 12.

DOI:10.1007/s10955-020-02696-9
PMID:33487737
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7803724/
Abstract

We calculate, for a branching random walk to a leaf at depth on a binary tree, the positive integer moments of the random variable , for . We obtain explicit formulae for the first few moments for finite . In the limit , our expression coincides with recent conjectures and results concerning the moments of moments of characteristic polynomials of random unitary matrices, supporting the idea that these two problems, which both fall into the class of logarithmically correlated Gaussian random fields, are related to each other.

摘要

对于二叉树上深度为(n)处通向叶子节点的分支随机游走,我们计算随机变量(Z_n)(其中(n\in\mathbb{N}))的正整数阶矩。对于有限的(n),我们得到了前几个矩的显式公式。在(n\to\infty)的极限情况下,我们的表达式与最近关于随机酉矩阵特征多项式矩的矩的猜想和结果一致,这支持了这两个都属于对数相关高斯随机场类别的问题相互关联的观点。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/10d2/7803724/7574bac426b9/10955_2020_2696_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/10d2/7803724/4920efdeeba8/10955_2020_2696_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/10d2/7803724/6a685646bf7f/10955_2020_2696_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/10d2/7803724/52dfc2738cce/10955_2020_2696_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/10d2/7803724/7574bac426b9/10955_2020_2696_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/10d2/7803724/4920efdeeba8/10955_2020_2696_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/10d2/7803724/6a685646bf7f/10955_2020_2696_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/10d2/7803724/52dfc2738cce/10955_2020_2696_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/10d2/7803724/7574bac426b9/10955_2020_2696_Fig4_HTML.jpg

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引用本文的文献

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On the Critical-Subcritical Moments of Moments of Random Characteristic Polynomials: A GMC Perspective.随机特征多项式矩的临界-亚临界时刻:一种高斯乘性混沌视角
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本文引用的文献

1
Freezing transitions and extreme values: random matrix theory, ζ (1/2 + it) and disordered landscapes.冻结相变和极值:随机矩阵理论、ζ(1/2+it)和无序景观。
Philos Trans A Math Phys Eng Sci. 2013 Dec 16;372(2007):20120503. doi: 10.1098/rsta.2012.0503. Print 2014 Jan 28.
2
Freezing transition, characteristic polynomials of random matrices, and the Riemann zeta function.自由相变、随机矩阵的特征多项式与黎曼 ζ 函数。
Phys Rev Lett. 2012 Apr 27;108(17):170601. doi: 10.1103/PhysRevLett.108.170601. Epub 2012 Apr 26.