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Pattern formation in a ratio-dependent predator-prey model with cross-diffusion

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  • Peng, Yahong
  • Ling, Heyang

Abstract

In this paper, a ratio-dependent predator-prey model with cross-diffusion is studied. By the linear stability analysis, the necessary conditions for the occurrence of Turing instability are obtained. Moreover, the amplitude equations for the excited modes are gained by means of weakly nonlinear analysis. Numerical simulations are presented to verify the theoretical results and show that the cross-diffusion plays an important role in the pattern formation.

Suggested Citation

  • Peng, Yahong & Ling, Heyang, 2018. "Pattern formation in a ratio-dependent predator-prey model with cross-diffusion," Applied Mathematics and Computation, Elsevier, vol. 331(C), pages 307-318.
    • Handle: RePEc:eee:apmaco:v:331:y:2018:i:c:p:307-318
    DOI: 10.1016/j.amc.2018.03.033
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    References listed on IDEAS

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    1. Camara, B.I. & Haque, M. & Mokrani, H., 2016. "Patterns formations in a diffusive ratio-dependent predator–prey model of interacting populations," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 461(C), pages 374-383.
    2. Tian, Canrong & Ling, Zhi & Zhang, Lai, 2017. "Nonlocal interaction driven pattern formation in a prey–predator model," Applied Mathematics and Computation, Elsevier, vol. 308(C), pages 73-83.
    3. Peng, Yahong & Zhang, Tonghua, 2016. "Turing instability and pattern induced by cross-diffusion in a predator-prey system with Allee effect," Applied Mathematics and Computation, Elsevier, vol. 275(C), pages 1-12.
    4. Hezi Yizhaq & Boris A Portnov & Ehud Meron, 2004. "A Mathematical Model of Segregation Patterns in Residential Neighbourhoods," Environment and Planning A, , vol. 36(1), pages 149-172, January.
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    Cited by:

    1. Souna, Fethi & Belabbas, Mustapha & Menacer, Youssaf, 2023. "Complex pattern formations induced by the presence of cross-diffusion in a generalized predator–prey model incorporating the Holling type functional response and generalization of habitat complexity e," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 204(C), pages 597-618.
    2. Wang, Henan & Liu, Ping, 2023. "Pattern dynamics of a predator–prey system with cross-diffusion, Allee effect and generalized Holling IV functional response," Chaos, Solitons & Fractals, Elsevier, vol. 171(C).
    3. Meng Zhu & Jing Li & Xinze Lian, 2022. "Pattern Dynamics of Cross Diffusion Predator–Prey System with Strong Allee Effect and Hunting Cooperation," Mathematics, MDPI, vol. 10(17), pages 1-20, September.
    4. Chakraborty, Bhaskar & Ghorai, Santu & Bairagi, Nandadulal, 2020. "Reaction-diffusion predator-prey-parasite system and spatiotemporal complexity," Applied Mathematics and Computation, Elsevier, vol. 386(C).
    5. Peng, Yahong & Zhang, Guoying, 2020. "Dynamics analysis of a predator–prey model with herd behavior and nonlocal prey competition," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 170(C), pages 366-378.
    6. Mohan, Nishith & Kumari, Nitu, 2021. "Positive steady states of a SI epidemic model with cross diffusion," Applied Mathematics and Computation, Elsevier, vol. 410(C).
    7. Yangyang Shao & Yan Meng & Xinyue Xu, 2022. "Turing Instability and Spatiotemporal Pattern Formation Induced by Nonlinear Reaction Cross-Diffusion in a Predator–Prey System with Allee Effect," Mathematics, MDPI, vol. 10(9), pages 1-15, May.

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