Diffusion-driven instability of a predator–prey model with interval biological coefficients

Mengxin Chen and Qianqian Zheng

Chaos, Solitons & Fractals, 2023, vol. 172, issue C

Abstract: Interval biological coefficients as the imprecise parameters should be considered in biological models since there are various imprecisions in the real world. In this paper, we deal with the pattern dynamics of the predator–prey model with interval biological coefficients and no-flux boundary conditions. We first give the boundedness of the solutions by comparison principle and constructing an invariant rectangle domain with different interval variable values. Then by treating the diffusion coefficient of the predator as the critical parameter, the stable and unstable intervals of the positive equilibrium are discussed. Also, in this manner, the emergence condition of the Turing instability is performed. In the sequel, the amplitude equations around the threshold of the Turing instability are deduced by employing the weakly nonlinear analysis method. In this fashion, the existence and stability of various pattern solutions are classified. Finally, non-symmetrical and symmetrical spatial patterns are displayed with the help of the numerical simulation results in 2D space by choosing different interval biological coefficients.

Keywords: Pattern formation; Interval biological coefficient; Predator–prey model; Weakly nonlinear analysis (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:eee:chsofr:v:172:y:2023:i:c:s0960077923003958

DOI: 10.1016/j.chaos.2023.113494

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