Law of the iterated logarithm for supercritical non-local spatial branching processes
Haojie Hou, Ting Yang

TL;DR
This paper establishes iterated logarithm laws for martingales associated with supercritical non-local branching processes, revealing three regimes with different scaling limits and extending classical results to more general non-local and non-symmetric settings.
Contribution
It introduces new law of the iterated logarithm results for supercritical non-local branching processes, generalizing previous work to include non-local mechanisms and non-symmetric spatial motions.
Findings
Identified three regimes with distinct scaling factors and limits.
Established LIL for linear functionals of the process involving eigenfunctions.
Extended classical results to non-local, non-symmetric branching processes.
Abstract
Suppose that 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 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 where is a sum of finite terms of eigenfunctions and denotes…
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Taxonomy
TopicsStochastic processes and statistical mechanics · advanced mathematical theories · Stochastic processes and financial applications
