Stability of (sub)critical non-local spatial branching processes with and without immigration
Emma Horton, Andreas E. Kyprianou, Pedro Mart\'in-Ch\'avez, Ellen, Powell, Victor Rivero

TL;DR
This paper investigates the stability and limiting behaviors of non-local branching processes with and without immigration, providing new conditions for convergence and extending classical results to more general non-local mechanisms.
Contribution
It establishes necessary and sufficient conditions for stability and convergence in non-local branching processes, generalizing previous work and removing bounded offspring restrictions.
Findings
Proves asymptotic survival probability and Yaglom limit for critical processes.
Shows convergence to Gamma distribution under integral conditions.
Demonstrates stability in subcritical processes with integral criteria.
Abstract
We consider the setting of either a general non-local branching particle process or a general non-local superprocess, in both cases, with and without immigration. Under the assumption that the mean semigroup has a Perron-Frobenious type behaviour for the immigrated mass, as well as the existence of second moments, we consider necessary and sufficient conditions that ensure limiting distributional stability. More precisely, our first main contribution pertains to proving the asymptotic Kolmogorov survival probability and Yaglom limit for critical non-local branching particle systems and superprocesses under a second moment assumption on the offspring distribution. Our results improve on existing literature by removing the requirement of bounded offspring in the particle setting [21] and generalising [43] to allow for non-local branching mechanisms. Our second main contribution pertains…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsStochastic processes and statistical mechanics
