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Investigating the Dynamic Behavior of Integer and Noninteger Order System of Predation with Holling’s Response

Author

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  • Kolade M. Owolabi

    (Department of Mathematical Sciences, Federal University of Technology, Akure PMB 704, Ondo State, Nigeria)

  • Sonal Jain

    (School of Technology, Woxsen University, Hyderabad 502345, Telangana, India)

  • Edson Pindza

    (Department of Decision Sciences, College of Economic and Management Sciences, University of South Africa (UNISA), Pretoria 0002, South Africa)

Abstract

The paper’s primary objective is to examine the dynamic behavior of an integer and noninteger predator–prey system with a Holling type IV functional response in the Caputo sense. Our focus is on understanding how harvesting influences the stability, equilibria, bifurcations, and limit cycles within this system. We employ qualitative and quantitative analysis methods rooted in bifurcation theory, dynamical theory, and numerical simulation. We also delve into studying the boundedness of solutions and investigating the stability and existence of equilibrium points within the system. Leveraging Sotomayor’s theorem, we establish the presence of both the saddle-node and transcritical bifurcations. The analysis of the Hopf bifurcation is carried out using the normal form theorem. The model under consideration is extended to the fractional reaction–diffusion model which captures non-local and long-range effects more accurately than integer-order derivatives. This makes fractional reaction–diffusion systems suitable for modeling phenomena with anomalous diffusion or memory effects, improving the fidelity of simulations in turn. An adaptable numerical technique for solving this class of differential equations is also suggested. Through simulation results, we observe that one of the Lyapunov exponents has a negative value, indicating the potential for the emergence of a stable-limit cycle via bifurcation as well as chaotic and complex spatiotemporal distributions. We supplement our analytical investigations with numerical simulations to provide a comprehensive understanding of the system’s behavior. It was discovered that both the prey and predator populations will continue to coexist and be permanent, regardless of the choice of fractional parameter.

Suggested Citation

  • Kolade M. Owolabi & Sonal Jain & Edson Pindza, 2024. "Investigating the Dynamic Behavior of Integer and Noninteger Order System of Predation with Holling’s Response," Mathematics, MDPI, vol. 12(10), pages 1-25, May.
  • Handle: RePEc:gam:jmathe:v:12:y:2024:i:10:p:1530-:d:1394487
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    References listed on IDEAS

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    1. Arjun Hasibuan & Asep Kuswandi Supriatna & Endang Rusyaman & Md. Haider Ali Biswas, 2023. "Predator–Prey Model Considering Implicit Marine Reserved Area and Linear Function of Critical Biomass Level," Mathematics, MDPI, vol. 11(18), pages 1-16, September.
    2. Robert T. Deacon, 2012. "Fishery Management by Harvester Cooperatives," Review of Environmental Economics and Policy, Association of Environmental and Resource Economists, vol. 6(2), pages 258-277, July.
    3. Wang, Yuan-Ming & Ren, Lei, 2019. "A high-order L2-compact difference method for Caputo-type time-fractional sub-diffusion equations with variable coefficients," Applied Mathematics and Computation, Elsevier, vol. 342(C), pages 71-93.
    4. Malay Bandyopadhyay & Rakhi Bhattacharya & C. G. Chakrabarti, 2003. "A nonlinear two-species oscillatory system: bifurcation and stability analysis," International Journal of Mathematics and Mathematical Sciences, Hindawi, vol. 2003, pages 1-11, January.
    5. Owolabi, Kolade M. & Jain, Sonal, 2023. "Spatial patterns through diffusion-driven instability in modified predator–prey models with chaotic behaviors," Chaos, Solitons & Fractals, Elsevier, vol. 174(C).
    Full references (including those not matched with items on IDEAS)

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