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Hopf Bifurcation in a Memory-Based Diffusion Predator-Prey Model with Spatial Heterogeneity

SSRN, ISSN: 1556-5068
2023
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  • 135
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Metric Options:   Counts1 Year3 Year

Metrics Details

  • Usage
    135
    • Abstract Views
      102
    • Downloads
      33

Article Description

In this paper, we present a memory-based diffusion predator-prey model that incorporates spatial heterogeneity and is subject to homogeneous Dirichlet boundary conditions. Prey species lack memory or cognitive abilities, exhibiting only random diffusion. In contrast, predators employ memory-based self-diffusion. For the proposed model, we establish the existence and explicit expression of a spatially non-constant positive steady-state. Furthermore, we demonstrate that memory-based diffusion and the averaged memory period can lead to more richer dynamics. Specifically, when the memory-based diffusion coefficient is not dominant, the averaged memory period has no impact on the non-constant steady-state. However, when the memory-based diffusion coefficient takes precedence, the averaged memory period can destabilize the non-constant steady-state, resulting in Hopf bifurcation and the emergence of spatially non-homogeneous periodic solutions.

Bibliographic Details

Di Liu; Weihua Jiang

Elsevier BV

Multidisciplinary; Predator-prey model; Memory-based diffusion; bifurcation; Stability; Spatial heterogeneity; Non-constant steady-state; Non-homogeneous periodic solution

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