Skeleton decomposition and law of large numbers for supercritical superprocesses
Zhen-Qing Chen, Yan-Xia Ren, Ting Yang

TL;DR
This paper develops skeleton and spine decompositions for superprocesses with symmetric Hunt process motions and establishes law of large numbers results, extending previous work to broader classes of superprocesses.
Contribution
It introduces skeleton and spine decompositions for general symmetric Hunt process superprocesses and derives law of large numbers under spectral gap conditions.
Findings
Established skeleton and spine decompositions for superprocesses.
Proved weak and strong law of large numbers for supercritical superprocesses.
Extended law of large numbers results to broader classes including super Ornstein-Uhlenbeck and stable-like processes.
Abstract
The goal of this paper has two-folds. First, we establish skeleton and spine decompositions for superprocesses whose underlying processes are general symmetric Hunt processes. Second, we use these decompositions to obtain weak and strong law of large numbers for supercritical superprocesses where the spatial motion is a symmetric Hunt process on a locally compact metric space and the branching mechanism takes the form with , and being a kernel from to satisfying . The limit theorems are established under the assumption that an associated Schr\"{o}dinger operator has a spectral gap. Our results cover many…
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Taxonomy
TopicsStochastic processes and statistical mechanics · Theoretical and Computational Physics · Markov Chains and Monte Carlo Methods
