English

Law of the iterated logarithm for supercritical non-local spatial branching processes

Probability 2025-09-17 v2

Abstract

Suppose that X=(Xt)t0X=(X_{t})_{t\ge 0} is either a general supercritical non-local branching Markov process, or a general supercritical non-local superprocess, on a Luzin space. Here, by ``supercritical" we mean that the mean semigroup of XX exhibits a Perron-Frobenius type behaviour with a positive principal eigenvalue. In this paper, we study the almost sure behaviour of a family of martingales naturally associated with the real or complex-valued eigenpairs of the mean semigroup. Under a fourth-moment condition, we establish limit theorems of the iterated logarithm type for these martingales. In particular, we discover three regimes, each resulting in different scaling factors and limits. Furthermore, we obtain a law of the iterated logarithm for the linear functional Re(f),Xt\langle \mathrm{Re}(f),X_{t}\rangle where ff is a sum of finite terms of eigenfunctions and Re(f)\mathrm{Re}(f) denotes its real part. In the context of branching Markov processes, our results improve on existing literature by complementing the known results for multitype branching processes in Asmussen [Trans. Amer. Math. Soc. 231 (1) (1977) 233--248] and generalizing the recent work of Hou, Ren and Song [arXiv: 2505.12691] to allow for non-local branching mechanism and non-symmetric spatial motion. For superprocesses, as far as we know, our results are new.

Keywords

Cite

@article{arxiv.2508.12772,
  title  = {Law of the iterated logarithm for supercritical non-local spatial branching processes},
  author = {Haojie Hou and Ting Yang},
  journal= {arXiv preprint arXiv:2508.12772},
  year   = {2025}
}