Double Asymptotic for Random Walks on Hypercubes

被引:0
|
作者
Montegut, Fabien [1 ]
机构
[1] Univ Toulouse, CNRS, UMR5219, Inst Math Toulouse, 118 Route Narbonne, F-31062 Toulouse 9, France
关键词
Limit theorems; Markov chains; Hypercube;
D O I
10.1007/s10959-019-00931-y
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
We consider the sum of the coordinates of a simple random walk on the K-dimensional hypercube and prove a double asymptotic of this process, as both the time parameter n and the space parameter K tend to infinity. Depending on the asymptotic ratio of the two parameters, the rescaled processes converge toward either a "stationary Brownian motion," an Ornstein-Uhlenbeck process or a Gaussian white noise.
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页码:2044 / 2065
页数:22
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