On large deviation probabilities for empirical distribution of supercritical branching random walks with unbounded displacements

被引:13
|
作者
Chen, Xinxin [1 ]
He, Hui [2 ]
机构
[1] Univ Claude Bernard Lyon 1, Inst Camille Jordan, CNRS UMR 5208, F-69622 Villeurbanne, France
[2] Beijing Normal Univ, Sch Math Sci, Beijing 100875, Peoples R China
关键词
Branching random walk; Large deviation; Schroder case; Bottcher case; EXACT CONVERGENCE-RATES; RANDOM ENVIRONMENT; LIMIT-THEOREM; PARTICLES; SUMS;
D O I
10.1007/s00440-018-0891-4
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
Given a branching random walk on R started from the origin, where the tail of the branching law decays at least exponentially fast and the offspring number is at least one, let Z(n)(.) be the counting measure which counts the number of individuals at the n-th generation located in a given set. Under some mild conditions, it is known (Biggins in Stoch. Process. Appl. 34:255-274, 1990) that for any interval A subset of R, Z(n)(root nA)/Z(n)(R) converges a.s. to nu(A), where nu is the standard Gaussian measure. In this work, we investigate the convergence rates of P(Z(n)(root nA)/Z(n)(R) - nu(A) > Delta), for Delta is an element of (0, 1 - nu(A)). We consider both the Schroder case, where the offspring number could be one, and the Bottcher case, where the offspring number is at least two.
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页码:255 / 307
页数:53
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