Law of large numbers for branching symmetric Hunt processes with measure-valued branching rates
Zhen-Qing Chen, Yan-Xia Ren, Ting Yang

TL;DR
This paper proves weak and strong laws of large numbers for a broad class of symmetric Hunt processes with measure-valued, state-dependent branching rates, extending previous results to new examples.
Contribution
It introduces new laws of large numbers for symmetric Hunt processes with general, measure-valued branching mechanisms, broadening the scope of prior work.
Findings
Established weak and strong laws of large numbers for the processes.
Extended results to processes with measure-valued, state-dependent branching rates.
Applicable to new examples beyond previous models.
Abstract
We establish weak and strong law of large numbers for a class of branching symmetric Hunt processes with the branching rate being a smooth measure with respect to the underlying Hunt process, and the branching mechanism being general and state-dependent. Our work is motivated by recent work on strong law of large numbers for branching symmetric Markov processes by Chen-Shiozawa [J. Funct. Anal., 250, 374--399, 2007] and for branching diffusions by Engl\"ander-Harris-Kyprianou [Ann. Inst. Henri Poincar\'e Probab. Stat., 46, 279--298, 2010]. Our results can be applied to some interesting examples that are covered by neither of these papers.
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Taxonomy
TopicsStochastic processes and statistical mechanics · Diffusion and Search Dynamics · Stochastic processes and financial applications
