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Asymptotic behavior of a stochastic delayed chemostat model with nonmonotone uptake function

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  • Sun, Shulin
  • Zhang, Xiaofeng

Abstract

In this paper, a stochastic delay differential equations chemostat model with nonmonotone uptake function is considered, and the nutrient conversion process involves time delay. First, we verify that there is a unique global positive solution of the stochastic system. Second, we find that the solutions of stochastic system will oscillate around the equilibria of the corresponding deterministic model, moreover, results show that time delay has critical effects on the extinction and persistence of the microorganism, that is to say, under small noise, when the time delay is small, microorganism is persistent; when the time delay is large, microorganism will be extinct. In addition, we can find by the computer simulation that large noise may lead to microorganism become extinct, although microorganism is persistent in the deterministic systems when the time delay is small. Finally, computer simulations are carried out to illustrate the obtained results and the existence of bistability is observed.

Suggested Citation

  • Sun, Shulin & Zhang, Xiaofeng, 2018. "Asymptotic behavior of a stochastic delayed chemostat model with nonmonotone uptake function," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 512(C), pages 38-56.
  • Handle: RePEc:eee:phsmap:v:512:y:2018:i:c:p:38-56
    DOI: 10.1016/j.physa.2018.08.010
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    References listed on IDEAS

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    Cited by:

    1. Chen, Xingzhi & Xu, Xin & Tian, Baodan & Li, Dong & Yang, Dan, 2022. "Dynamics of a stochastic delayed chemostat model with nutrient storage and Lévy jumps," Chaos, Solitons & Fractals, Elsevier, vol. 165(P1).
    2. Mu, Yu & Li, Zuxiong, 2023. "Bifurcation dynamics of a delayed chemostat system with spatial diffusion," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 205(C), pages 186-204.
    3. Zhang, Xiaofeng, 2023. "Ultimate boundedness of a stochastic chemostat model with periodic nutrient input and discrete delay," Chaos, Solitons & Fractals, Elsevier, vol. 175(P1).
    4. Yan, Rong & Sun, Shulin, 2020. "Stochastic characteristics of a chemostat model with variable yield," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 537(C).
    5. Zhang, Xiaofeng & Yuan, Rong, 2021. "Forward attractor for stochastic chemostat model with multiplicative noise," Chaos, Solitons & Fractals, Elsevier, vol. 153(P1).
    6. He, Lingyun & Banihashemi, Seddigheh & Jafari, Hossein & Babaei, Afshin, 2021. "Numerical treatment of a fractional order system of nonlinear stochastic delay differential equations using a computational scheme," Chaos, Solitons & Fractals, Elsevier, vol. 149(C).
    7. Nguyen, Dang H. & Nguyen, Nhu N. & Yin, George, 2021. "Stochastic functional Kolmogorov equations, I: Persistence," Stochastic Processes and their Applications, Elsevier, vol. 142(C), pages 319-364.
    8. Zhang, Xiaofeng & Yuan, Rong, 2021. "A stochastic chemostat model with mean-reverting Ornstein-Uhlenbeck process and Monod-Haldane response function," Applied Mathematics and Computation, Elsevier, vol. 394(C).

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