Long time behaviour of continuous-state nonlinear branching processes with catastrophes

被引:5
|
作者
Marguet, Aline [1 ]
Smadi, Charline [2 ,3 ]
机构
[1] Univ Grenoble Alpes, INRIA, F-38000 Grenoble, France
[2] Univ Grenoble Alpes, INRAE, LESSEM, F-38000 Grenoble, France
[3] Univ Grenoble Alpes, Inst Fourier, CNRS, F-38000 Grenoble, France
来源
关键词
continuous-time and space branching Markov processes; jumps processes; long-time behaviour; absorption; explosion; RAY-KNIGHT REPRESENTATION; EXPONENTIAL FUNCTIONALS; DIFFUSION;
D O I
10.1214/21-EJP664
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
Motivated by the study of a parasite infection in a cell line, we introduce a general class of Markov processes for the modelling of population dynamics. The population process evolves as a diffusion with positive jumps whose rate is a function of the population size. It also undergoes catastrophic events which kill a fraction of the population, at a rate depending on the population state. We study the long time behaviour of this class of processes.
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页数:32
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