English

Tail probability of maximal displacement in critical branching L\'{e}vy process with stable branching

Probability 2023-10-10 v1

Abstract

Consider a critical branching L\'{e}vy process {Xt,t0}\{X_t, t\ge 0\} with branching rate β>0,\beta>0, offspring distribution {pk:k0}\{p_k:k\geq 0\} and spatial motion {ξt,Πx}\{\xi_t, \Pi_x\}. For any t0t\ge 0, let NtN_t be the collection of particles alive at time tt, and, for any uNtu\in N_t, let Xu(t)X_u(t) be the position of uu at time tt. We study the tail probability of the maximal displacement M:=supt>0supuNtXu(t)M:=\sup_{t>0}\sup_{u\in N_t} X_u(t) under the assumption limnnαk=npk=κ(0,)\lim_{n\to\infty} n^\alpha \sum_{k=n}^\infty p_k =\kappa\in(0,\infty) for some α(1,2)\alpha\in (1,2), Π0(ξ1)=0\Pi_0(\xi_1)=0 and Π0(ξ1r)(0,)\Pi_0 (|\xi_1|^r)\in (0,\infty) for some r>2α/(α1)r> 2\alpha/(\alpha-1). Our main result is a generalization of the main result of Sawyer and Fleischman (1979) for branching Brownian motions and that of Lalley and Shao (2015) for branching random walks, both of which are proved under the assumption k=0k3pk<\sum_{k=0}^\infty k^3 p_k<\infty.

Keywords

Cite

@article{arxiv.2310.05323,
  title  = {Tail probability of maximal displacement in critical branching L\'{e}vy process with stable branching},
  author = {Haojie Hou and Yiyang Jiang and Yan-Xia Ren and Renming Song},
  journal= {arXiv preprint arXiv:2310.05323},
  year   = {2023}
}