Exponential ergodicity for general continuous-state nonlinear branching processes

Pei Sen Li, Jian Wang

科研成果: 期刊稿件文章同行评审

8 引用 (Scopus)

摘要

By combining the coupling by reflection for Brownian motion with the refined basic coupling for Poisson random measure, we present sufficient conditions for the exponential ergodicity of general continuous-state nonlinear branching processes in both the L1-Wasserstein distance and the total variation norm, where the drift term is dissipative only for large distance, and either diffusion noise or jump noise is allowed to be vanished. Sufficient conditions for the corresponding strong ergodicity are also established.

源语言英语
文章编号125
页(从-至)1-25
页数25
期刊Electronic Journal of Probability
25
DOI
出版状态已出版 - 2020

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