ALMOST SURE CENTRAL LIMIT THEOREM FOR BRANCHING RANDOM WALKS IN RANDOM ENVIRONMENT
成果类型:
Article
署名作者:
Nakashima, Makoto
署名单位:
Kyoto University
刊物名称:
ANNALS OF APPLIED PROBABILITY
ISSN/ISSBN:
1050-5164
DOI:
10.1214/10-AAP699
发表日期:
2011
页码:
351-373
关键词:
linear stochastic evolutions
directed polymers
localization
diffusion
disorder
摘要:
We consider the branching random walks in d-dimensional integer lattice with time-space i.i.d. offspring distributions. Then the normalization of the total population is a nonnegative martingale and it almost surely converges to a certain random variable. When d >= 3 and the fluctuation of environment satisfies a certain uniform square integrability then it is nondegenerate and we prove a central limit theorem for the density of the population in terms of almost sure convergence.