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A stochastic turbidostat model with Ornstein-Uhlenbeck process: dynamics analysis and numerical simulations

  • Xiaojie Mu
  • , Daqing Jiang
  • , Tasawar Hayat
  • , Ahmed Alsaedi
  • , Yunhui Liao
  • China University of Petroleum (East China)
  • King Abdulaziz University
  • Quaid-I-Azam University

Research output: Contribution to journalArticlepeer-review

17 Scopus citations

Abstract

Many turbidostat models are affected by environmental noise due to various complicated and uncertain factors, and Ornstein-Uhlenbeck process is a more effective and precise way. We formulate a stochastic turbidostat system incorporating Ornstein-Uhlenbeck process in this paper and develop dynamical behavior for the stochastic model, which includes the existence and uniqueness of globally positive equilibrium, sufficient conditions of the extinction, the existence of a unique stationary distribution and an expression of density function of quasi-stationary distribution around the positive solution of the deterministic model. The results indicate that the weaker volatility intensity can ensure the existence and uniqueness of the stationary distribution, and the stronger reversion speed can lead to the extinction of microorganisms. Numerical simulations verify the validity of the analysis results, which assess the influence of the speed of reversion and the intensity of volatility on the long-term behavior of microorganisms.

Original languageEnglish
Pages (from-to)2805-2817
Number of pages13
JournalNonlinear Dynamics
Volume107
Issue number3
DOIs
StatePublished - Feb 2022
Externally publishedYes

Keywords

  • Density function
  • Extinction
  • Ornstein-Uhlenbeck process
  • Stationary distribution
  • Stochastic turbidostat model

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