题目:On Large Deviation Probabilities for the Empirical Distribution of Branching Random Walks with Heavy Tails
报告人:张树雄(安徽师范大学)
报告时间:2026年7月7日,10:00-11:30
报告地点:新楼310
摘要:
Given a branching random walk (Zn)n≥0 on R, let Zn(A) be the number of particles located in interval A at generation n.
It is well known that under some mild conditions, Zn(\sqrt nA)/Zn(R) converges almost surely to ν(A) as n → ∞, where ν is the standard Gaussian measure.
In this talk, we investigate its large-deviation probabilities under the condition that the step size or offspring law has a heavy tail, i.e. the decay
rate of P(Zn(\sqrt nA)/Zn(R) > p) as n → ∞, where p ∈ (ν(A),1).
