On large deviation probabilities for empirical distribution of branching random walks with heavy tails
Probability
2020-12-02 v1
Abstract
Given a branching random walk on , let be the number of particles located in interval at generation . It is well known (e.g., \cite{biggins}) that under some mild conditions, converges a.s. to as , where is the standard Gaussian measure. In this work, we investigate its large deviation probabilities under the condition that the step size or offspring law has heavy tail, i.e. the decay rate of as , where . Our results complete those in \cite{ChenHe} and \cite{Louidor}.
Cite
@article{arxiv.2012.00512,
title = {On large deviation probabilities for empirical distribution of branching random walks with heavy tails},
author = {Shuxiong Zhang},
journal= {arXiv preprint arXiv:2012.00512},
year = {2020}
}