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arXiv 2104.12960math.PR
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连续时间混合态分支过程与随机方程

Continuous Time Mixed State Branching Processes and Stochastic Equations

Shukai Chen, Zenghu Li

摘要:

构造了一个连续时间混合态分支过程作为两类Galton-Watson过程的标度极限.该过程也可以通过随机方程组的路径唯一解得到。从随机方程组出发,我们得到了局部跳的分布,并给出了转移半群的Wasserstein型距离的指数遍历性。同时,我们研究了与该过程相关的移民结构,证明了具有移民的过程的平稳分布的存在性。

英文摘要:

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.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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