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Bibliographic Details
Main Authors: Chen, Shukai, Li, Pei-Sen, Wang, Jian
Format: Preprint
Published: 2026
Subjects:
Online Access:https://arxiv.org/abs/2604.03030
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Table of Contents:
  • We introduce a class of continuous-state branching processes with immigration, predation and competition, which can be viewed as a combination of the classical Lotka-Volterra model and continuous-state branching processes with competition that were introduced by Berestycki, Fittipaldi, and Fontbona (Probab. Theory Relat. Fields, 2018). This model can be constructed as a unique strong solution to a class of two-dimensional stochastic differential equations with jumps. We establish sharp conditions for the uniform ergodicity in the total variation of this model. Our proof relies on a novel, localized Markovian coupling approach, which is of its own interest in the ergodicity theory of Markov processes with interactions.