Ergodic property of the chemostat: A stochastic model under regime switching and with general response function. (February 2018)

• Record Type: Journal Article
• Authors: Wang, Liang; Jiang, Daqing
• Is Part Of: Nonlinear analysis. Volume 27(2018)
• Page Start: 341
• Page End: 352
• Publication Date: 2018-02
• Subjects: Stochastic chemostat -- General response -- Markov chain -- Regime switching -- Ergodicity; Nonlinear functional analysis -- Periodicals; Analyse fonctionnelle non linéaire -- Périodiques; Nonlinear functional analysis; Periodicals; 515.7248
• DOI: 10.1016/j.nahs.2017.10.001
• Languages: English
• ISSNs: 1751-570X

Abstract

Abstract: The dynamics of chemostat involving stochastic perturbations is considered. Instead of assuming the familiar Monod kinetics for nutrient uptake, a general class of functions is used which includes all monotone (non-monotone) increasing uptake functions. We make two classifications of restrictive assumptions on the growth response. For the chemostat disturbed by both white noise and colored noise, we obtain the ergodic property by constructing stochastic Lyapunov function under small perturbation, which provide a good description of persistence. We observe that these assumptions on the functional response are relative weak and valid for many forms of growth response. Highlights: Stochastic chemostat under regime switching with general growth rate is developed. The stochastic model has a unique stationary distribution which is ergodic. Sufficient conditions for ergodicity are in terms of white noise and Markov chain. The conclusions are valid for many prototypes of response functions.