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Accurate and efficient matrix techniques for solving the fractional Lotka–Volterra population model

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  • Izadi, Mohammad
  • Yüzbaşı, Şuayip
  • Adel, Waleed

Abstract

This paper aims to develop accurate novel collocation techniques for solving a fractional fractional-order Lotka–Volterra (LV) predator–prey model. This type of equation has a wide variety of applications in biology to simulate the interaction between two different species. The fractional-order operator is defined in the Caputo sense. We introduce some new polynomials for solving this type of equation named the Morgan-Voyce polynomials. These new techniques named direct and quasilinear Morgan-Voyce techniques are presented and then used to solve the LV system revealing some of the new features of the model. Some of the advantages of the application of these techniques are that they are straightforward along with high accuracy. Detailed error and convergence analysis for the proposed methods are provided revealing the upper bound for these techniques. To test the accuracy of the proposed methods, the methods are tested on several examples with different values of the parameters and fractional orders and also compared with each other and with other related methods from the literature. The results are demonstrated through tables and figures and conclude that the provided technique is highly accurate compared to the other methods. The results revealed the agreement between the obtained approximate solution and the dynamics of the described model. These methods can be considered as promising to adapt to other similar models with application to different areas of engineering and biology.

Suggested Citation

  • Izadi, Mohammad & Yüzbaşı, Şuayip & Adel, Waleed, 2022. "Accurate and efficient matrix techniques for solving the fractional Lotka–Volterra population model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 600(C).
    • Handle: RePEc:eee:phsmap:v:600:y:2022:i:c:s0378437122003879
    DOI: 10.1016/j.physa.2022.127558
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    References listed on IDEAS

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    1. Ravi Kanth, A.S.V. & Devi, Sangeeta, 2021. "A practical numerical approach to solve a fractional Lotka–Volterra population model with non-singular and singular kernels," Chaos, Solitons & Fractals, Elsevier, vol. 145(C).
    2. Naik, Parvaiz Ahmad & Zu, Jian & Owolabi, Kolade M., 2020. "Modeling the mechanics of viral kinetics under immune control during primary infection of HIV-1 with treatment in fractional order," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 545(C).
    3. Kumar, Sunil & Kumar, Ranbir & Cattani, Carlo & Samet, Bessem, 2020. "Chaotic behaviour of fractional predator-prey dynamical system," Chaos, Solitons & Fractals, Elsevier, vol. 135(C).
    4. Zu, Li & Jiang, Daqing & O’Regan, Donal & Hayat, Tasawar & Ahmad, Bashir, 2018. "Ergodic property of a Lotka–Volterra predator–prey model with white noise higher order perturbation under regime switching," Applied Mathematics and Computation, Elsevier, vol. 330(C), pages 93-102.
    5. Owolabi, Kolade M., 2019. "Mathematical modelling and analysis of love dynamics: A fractional approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 525(C), pages 849-865.
    6. Shah, Kamal & Arfan, Muhammad & Ullah, Aman & Al-Mdallal, Qasem & Ansari, Khursheed J. & Abdeljawad, Thabet, 2022. "Computational study on the dynamics of fractional order differential equations with applications," Chaos, Solitons & Fractals, Elsevier, vol. 157(C).
    7. Owolabi, Kolade M. & Pindza, Edson & Atangana, Abdon, 2021. "Analysis and pattern formation scenarios in the superdiffusive system of predation described with Caputo operator," Chaos, Solitons & Fractals, Elsevier, vol. 152(C).
    8. Izadi, Mohammad & Srivastava, H.M., 2021. "Numerical approximations to the nonlinear fractional-order Logistic population model with fractional-order Bessel and Legendre bases," Chaos, Solitons & Fractals, Elsevier, vol. 145(C).
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