Continuous Time Mixed State Branching Processes and Stochastic Equations
Probability
2021-04-28 v1
Abstract
A continuous time mixed state branching process is constructed as the scaling limits of two-type Galton-Watson processes. The process can also be obtained by the pathwise unique solution to a stochastic equation system. From the stochastic equation system we derive the distribution of local jumps and the exponential ergodicity in Wasserstein-type distances of the transition semigroup is given. Meanwhile, we study immigration structures associated with the process and prove the existence of the stationary distribution of the process with immigration.
Cite
@article{arxiv.2104.12960,
title = {Continuous Time Mixed State Branching Processes and Stochastic Equations},
author = {Shukai Chen and Zenghu Li},
journal= {arXiv preprint arXiv:2104.12960},
year = {2021}
}