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Threshold dynamics of a chemostat model with Ornstein–Uhlenbeck process and single-species growth on two nutrients

Miaomiao Gao, Yanhui Jiang and Daqing Jiang

Mathematics and Computers in Simulation (MATCOM), 2026, vol. 239, issue C, 917-949

Abstract: This paper aims to study the dynamic properties of a stochastic chemostat model with single-species growth on two perfectly substitutable nutrients, in which the maximal growth rates of the microorganisms satisfy the log-normal Ornstein–Uhlenbeck process. We first show the existence and uniqueness of the global positive solution. Then, sufficient condition for the extinction of the microorganisms is given. And by constructing suitable Lyapunov functions, we obtain the condition for the existence of stationary distribution, which implies the persistence of the microorganisms. We find that there is a threshold between persistence and extinction for the considered model. Moreover, the exact expression of the probability density function of the distribution is further derived. Finally, numerical simulations are provided to demonstrate the theoretical results.

Keywords: Stochastic chemostat model; Log-normal Ornstein–Uhlenbeck process; Extinction; Stationary distribution; Density function (search for similar items in EconPapers)
Date: 2026
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Persistent link: https://EconPapers.repec.org/RePEc:eee:matcom:v:239:y:2026:i:c:p:917-949

DOI: 10.1016/j.matcom.2025.07.063

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