Limit theorems for a branching random walk in a random or varying environment

被引:0
|
作者
Huang, Chunmao [1 ]
Liu, Quansheng [2 ]
机构
[1] Harbin Inst Technol Weihai, Sch Sci, Weihai 264209, Peoples R China
[2] Univ Bretagne Sud, UMR 6205, LMBA, F-56000 Vannes, France
基金
中国国家自然科学基金;
关键词
Branching random walk; Random environment; Large deviation; Moderate deviation; Central limit theorem; Local limit theorem; Law of large numbers; EXACT CONVERGENCE-RATES; FIXED-POINTS; MARTINGALE CONVERGENCE; SUFFICIENT CONDITION; MINIMAL POSITION; BROWNIAN-MOTION; LAW; FLUCTUATIONS; DEVIATIONS; EXTENSION;
D O I
10.1016/j.spa.2024.104340
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 the real line with a stationary and ergodic environment (xi(n)) indexed by time, in which a particle of generation n gives birth to a random number of particles of the next generation, which move on the real line; the joint distribution of the number of children and their displacements on the real line depends on the environment xi(n) at time n. Let Z(n). be the counting measure at time n, which counts the number of particles of generation n. situated in a Borel set of the real line. For the case where the corresponding branching process is supercritical, we establish limit theorems such as large and moderate deviation principles, central and local limit theorems on the counting measures Z(n), convergence of the free energy, law of large numbers on the leftmost and rightmost positions at time n, and the convergence to infinite divisible laws. The varying environment case is also considered.
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页数:25
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