STOCHASTIC PERSISTENCE IN DEGENERATE STOCHASTIC LOTKA-VOLTERRA FOOD CHAINS

被引:5
|
作者
Benaim, Michel [1 ]
Bourquin, Antoine [1 ]
Nguyen, Dang H. [2 ]
机构
[1] Univ Neuchatel, Inst Math, Rue Emile Argand 11, CH-2000 Neuchatel, Switzerland
[2] Univ Alabama, Dept Math, Tuscaloosa, AL 35487 USA
来源
DISCRETE AND CONTINUOUS DYNAMICAL SYSTEMS-SERIES B | 2022年 / 27卷 / 11期
关键词
Markov processes; stochastic differential equations; stochastic persistence; Lotka-Volterra food chains; prey-predator; Hormander condition; rate of convergence; degenerate noise; EXTINCTION;
D O I
10.3934/dcdsb.2022023
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
We consider a Lotka-Volterra food chain model with possibly intraspecific competition in a stochastic environment represented by stochastic differential equations. In the non-degenerate setting, this model has already been studied by A. Hening and D. Nguyen in [9, 10] where they provided conditions for stochastic persistence and extinction. In this paper, we extend their results to the degenerate situation in which the top or the bottom species is subject to random perturbations. Under the persistence condition, there exists a unique invariant probability measure supported by the interior of R-+(n) having a smooth density. Moreover, we study a more general model, in which we give new conditions which make it possible to characterize the convergence of the semi-group towards the unique invariant probability measure either at an exponential rate or at a polynomial one. This will be used in the stochastic Lotka-Volterra food chain to see that if intra-specific competition occurs for all species, the rate of convergence is exponential while in the other cases it is polynomial.
引用
收藏
页码:6841 / 6863
页数:23
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