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Research Article | Open Access

Research on pattern dynamics of a class of predator-prey model with interval biological coefficients for capture

Xiao-Long Gao1Hao-Lu Zhang2,4Xiao-Yu Li3( )
Department of Mathematics, Inner Mongolia University of Technology, Hohhot 010051, China
CCCC Comprehensive planning and Design Institute Co., Ltd, Beijing 100024, China
College of Date Science and Application, Inner Mongolia University of Technology, Hohhot 010080, China
School of Civil Engineering, Inner Mongolia University of Technology, Hohhot 010051, China
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Abstract

Due to factors such as climate change, natural disasters, and deforestation, most measurement processes and initial data may have errors. Therefore, models with imprecise parameters are more realistic. This paper constructed a new predator-prey model with an interval biological coefficient by using the interval number as the model parameter. First, the stability of the solution of the fractional order model without a diffusion term and the Hopf bifurcation of the fractional order α were analyzed theoretically. Then, taking the diffusion coefficient of prey as the key parameter, the Turing stability at the equilibrium point was discussed. The amplitude equation near the threshold of the Turing instability was given by using the weak nonlinear analysis method, and different mode selections were classified by using the amplitude equation. Finally, we numerically proved that the dispersal rate of the prey population suppressed the spatiotemporal chaos of the model.

CLC number: 65L10, 65R20

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AIMS Mathematics
Pages 18506-18527

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Cite this article:
Gao X-L, Zhang H-L, Li X-Y. Research on pattern dynamics of a class of predator-prey model with interval biological coefficients for capture. AIMS Mathematics, 2024, 9(7): 18506-18527. https://doi.org/10.3934/math.2024901

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Received: 05 April 2024
Revised: 03 May 2024
Accepted: 13 May 2024
Published: 15 July 2024
©2024 the Author(s), licensee AIMS Press.

This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0)