Stability of (sub)critical nonlocal spatial branching processes with and without immigration

We consider the setting of either a general nonlocal branching particle process or a general nonlocal superprocess, in both cases, with and without immigration. Under the assumption that the mean semigroup has a Perron–Frobenious-type behaviour, 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 nonlocal branching particle systems and super-processes 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 (Ann. Probab. 50 (2022) 2373–2408) and generalising (Acta Appl. Math. 165 (2020) 91–131) to allow for nonlocal branching mechanisms. Our second main contribution pertains to the stability of both critical and sub-critical nonlocal branching particle systems and super-processes with immigration. At criticality, we show that the scaled process converges to a Gamma distribution under a necessary and sufficient integral test. At subcriticality we show stability of the process, also subject to an integral test. In these cases, our results complement classical results for (continuous-time) Galton–Watson processes with immigration and continuous-state branching processes with immigration; see (J. Roy. Statist. Soc. Ser. B, Methodol. 27 (1965) 138–143; Bull. Amer. Math. Soc. 78 (1972) 242–244; J. Appl. Probab. 7 (1970) 411–422; Teor. Veroyatn. Primen. 2 (1957) 339–348; J. Appl. Probab. 9 (1972) 24–31), among others. In the setting of super-processes, the only work we know of at this level of generality is summarised in (Measure-Valued Branching Markov Processes (2022) Springer). The proofs of our results, both with and without immigration, appeal to similar technical approaches and accordingly, we include the results together in this paper.

Authors

Institutions

Publication Details

Journal
The Annals of Probability
Published
2026-10-15
DOI
https://doi.org/10.1214/26-aop1838
Citations
1
Primary Topic
Stochastic processes and statistical mechanics
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Stability of (sub)critical nonlocal spatial branching processes with and without immigration

Andreas E. Kyprianou, Emma Horton, Ellen Powell, Pedro Martín-Chávez
1 citations
The Annals of Probability
Stochastic processes and statistical mechanics
article

Stability of (sub)critical nonlocal spatial branching processes with and without immigration

Andreas E. Kyprianou, Emma Horton, Ellen Powell, Pedro Martín-Chávez
article en
1 citations

Abstract

We consider the setting of either a general nonlocal branching particle process or a general nonlocal superprocess, in both cases, with and without immigration. Under the assumption that the mean semigroup has a Perron–Frobenious-type behaviour, 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 nonlocal branching particle systems and super-processes 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 (Ann. Probab. 50 (2022) 2373–2408) and generalising (Acta Appl. Math. 165 (2020) 91–131) to allow for nonlocal branching mechanisms. Our second main contribution pertains to the stability of both critical and sub-critical nonlocal branching particle systems and super-processes with immigration. At criticality, we show that the scaled process converges to a Gamma distribution under a necessary and sufficient integral test. At subcriticality we show stability of the process, also subject to an integral test. In these cases, our results complement classical results for (continuous-time) Galton–Watson processes with immigration and continuous-state branching processes with immigration; see (J. Roy. Statist. Soc. Ser. B, Methodol. 27 (1965) 138–143; Bull. Amer. Math. Soc. 78 (1972) 242–244; J. Appl. Probab. 7 (1970) 411–422; Teor. Veroyatn. Primen. 2 (1957) 339–348; J. Appl. Probab. 9 (1972) 24–31), among others. In the setting of super-processes, the only work we know of at this level of generality is summarised in (Measure-Valued Branching Markov Processes (2022) Springer). The proofs of our results, both with and without immigration, appeal to similar technical approaches and accordingly, we include the results together in this paper.

The Annals of ProbabilityVol. 54(6)
University of Warwick (GB), Mathematics Research Center (MX), Department of Mathematical Sciences (RU)
UK Research and Innovation, University of Warwick, Medical Research Council, Engineering and Physical Sciences Research Council, Agencia Estatal de Investigación
Openalex Percentile: Top 94%
Stochastic processes and statistical mechanics
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.