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Bifurcation dynamics of a delayed chemostat system with spatial diffusion

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  • Mu, Yu
  • Li, Zuxiong

Abstract

The resource’s diffusion and the populations’ migration may alter the ecosystem’s structure such that the species’ dynamics are changed. Moreover, the delay phenomenon in population behaviors, such as digestion or maturation, will inevitably affect the species’ dynamics. We, in this work, investigate a chemostat system with delay and spatial diffusion. The existence conditions of the Hopf bifurcation from the time lag and diffusive terms are determined. The concentration of population in the chemostat approaches a positive value when the bifurcation parameter’s value does not cross the critical point. The microorganisms’ concentration will fluctuate periodically as the value of the bifurcation parameter passes through the critical point. By the theory of norm form and center manifold, we further talked about the direction of the Hopf bifurcation and the stability of the periodic solutions. Several numerical examples are provided to support the theoretical results in this work.

Suggested Citation

  • 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.
  • Handle: RePEc:eee:matcom:v:205:y:2023:i:c:p:186-204
    DOI: 10.1016/j.matcom.2022.09.022
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    References listed on IDEAS

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    1. Fu, Guifang & Ma, Wanbiao, 2006. "Hopf bifurcations of a variable yield chemostat model with inhibitory exponential substrate uptake," Chaos, Solitons & Fractals, Elsevier, vol. 30(4), pages 845-850.
    2. Guihong Fan & Gail S. K. Wolkowicz, 2010. "A Predator-Prey Model in the Chemostat with Time Delay," International Journal of Differential Equations, Hindawi, vol. 2010, pages 1-41, March.
    3. 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.
    4. Martalò, Giorgio & Bianchi, Cesidio & Buonomo, Bruno & Chiappini, Massimo & Vespri, Vincenzo, 2020. "Mathematical modeling of oxygen control in biocell composting plants," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 177(C), pages 105-119.
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