Mixed-state branching evolution for cell division models
Abstract We prove a scaling limit theorem for two-type Galton–Watson branching processes with interaction. The limit theorem gives rise to a class of mixed-state branching processes with interaction used to simulate evolution for cell division affected by parasites. Such processes can also be obtained by the pathwise-unique solution to a stochastic equation system. Moreover, we present sufficient conditions for extinction with probability 1 and the exponential ergodicity in the $L^1$ -Wasserstein distance of such processes in some cases.
Authors
- Shukai Chen (ORCID: https://orcid.org/0000-0001-5089-9657)
- Lina Ji (ORCID: https://orcid.org/0000-0002-3739-2891)
- Jie Xiong (ORCID: https://orcid.org/0000-0001-5900-1284)
Institutions
- Fujian Normal University (CN)
- Southern University of Science and Technology (CN)
- Shenzhen Technology University (CN)
- Shenzhen MSU-BIT University
Publication Details
- Journal
- Journal of Applied Probability
- Published
- 2025-09-29
- DOI
- https://doi.org/10.1017/jpr.2025.10028
- Primary Topic
- Stochastic processes and statistical mechanics
- Type
- article
- Field-Weighted Citation Impact
- 0.00