A note on large deviation probabilities for empirical distribution of branching random walks

被引:3
|
作者
Shi, Wanlin [1 ]
机构
[1] Beijing Normal Univ, Sch Math Sci, Beijing 100875, Peoples R China
关键词
Empirical distribution; Branching random walk; Bottcher case; Large deviation;
D O I
10.1016/j.spl.2018.11.029
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 a branching random walk on R started from the origin. Let Z(n)(.)be the counting measure which counts the number of individuals at the nth generation located in a given set. For any interval A subset of R, it is well known that Zn(root nA)/Zn(R) converges a.s. to v(A) under some mild conditions, where v is the standard Gaussian measure. In this note, we study the convergence rate of P((Z) over bar (n) (root n sigma(2)A) - v(A) >= Delta), for a small constant Delta is an element of (0, 1 -v(A)). Our work completes the results in Chen and He (2017) and Louidor and Perkins (2015), where the step size of the underlying walk is assumed to have Weibull tail, Gumbel tail or be bounded. (C) 2018 Elsevier B.V. All rights reserved.
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页码:18 / 28
页数:11
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