4.7 Article

Bifurcation and turing instability for a predator-prey model with nonlinear reaction cross-diffusion

Journal

APPLIED MATHEMATICAL MODELLING
Volume 89, Issue -, Pages 1663-1677

Publisher

ELSEVIER SCIENCE INC
DOI: 10.1016/j.apm.2020.08.030

Keywords

Nonlinear cross-diffusion; Lyapunov-Schmidt reduction; Bifurcation; Turing stability

Funding

  1. National Natural Science Foundation of China [11771115, 11801128]
  2. Natural Science Foundation of Hebei Province [A2016201206, A2019201396]
  3. Research funding for high-level innovative talents of hebei university [801260201242]
  4. Post-graduate's Innovation Fund Project of Hebei University [hbu2019ss028]

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In this study, a nonlinear reaction cross-diffusion predator-prey system under Neumann boundary condition is considered, with negative diffusion coefficients introducing local accumulation effect of prey. The paper discusses the criteria for local asymptotic stability of the positive homogeneous steady state with or without cross-diffusion, as well as the conditions for diffusion-driven instability. The existence and multiplicity of spatially nonhomogeneous/homogeneous steady-state solutions are studied using Lyapunov-Schmidt reduction, and numerical simulations are carried out to clarify the theoretical results, revealing that Turing instability in the model is induced by the negative diffusion coefficients.
A nonlinear reaction cross-diffusion predator-prey system under Neumann boundary condition is considered. Negative diffusion coefficients with local accumulation effect of prey are introduced. Firstly, the criteria for local asymptotic stability of the positive homogeneous steady state with or without cross-diffusion are discussed. Moreover, the conditions for diffusion-driven instability are obtained and the Turing regions in the plane of cross-diffusion coefficients is achieved. Secondly, the existence and multiplicity of spatially nonhomogeneous/homogeneous steady-state solutions are studied by virtue of the Lyapunov-Schmidt reduction. Finally, to clarify the theoretical results, some numerical simulations are carried out. One of the most interesting finding is that Turing instability in the model is induced by the negative diffusion coefficients. (C) 2020 Elsevier Inc. All rights reserved.

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