Process convergence of fluctuations of linear eigenvalue statistics of random circulant matrices

Pub Date : 2019-09-02 DOI:10.1142/s2010326321500325
Shambhu Nath Maurya, Koushik Saha
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引用次数: 7

Abstract

We discuss the process convergence of the time dependent fluctuations of linear eigenvalue statistics of random circulant matrices with independent Brownian motion entries, as the dimension of the matrix tends to [Formula: see text]. Our derivation is based on the trace formula of circulant matrix, method of moments and some combinatorial techniques.
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随机循环矩阵线性特征值统计波动的过程收敛性
我们讨论了具有独立布朗运动项的随机循环矩阵的线性特征值统计量随时间波动的过程收敛性,当矩阵的维数趋向于[公式:见文]。我们的推导是基于循环矩阵的迹公式、矩量法和一些组合技术。
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