Analysis of Mathematics and Numerical Pattern Formation in Superdiffusive Fractional Multicomponent System

Analysis of Mathematics and Numerical Pattern Formation in Superdiffusive Fractional Multicomponent System

Year:    2017

Author:    Kolade M. Owolabi, Abdon Atangana

Advances in Applied Mathematics and Mechanics, Vol. 9 (2017), Iss. 6 : pp. 1438–1460

Abstract

In this work, we examine the mathematical analysis and numerical simulation of pattern formation in a subdiffusive multicomponent fractional-reaction-diffusion system that models the spatial interrelationship between two preys and predator species. The major result is centered on the analysis of the system for linear stability. Analysis of the main model reflects that the dynamical system is locally and globally asymptotically stable. We propose some useful theorems based on the existence and permanence of the species to validate our theoretical findings. Reliable and efficient methods in space and time are formulated to handle any space fractional reaction-diffusion system. We numerically present the complexity of the dynamics that are theoretically discussed. The simulation results in one, two and three dimensions show some amazing scenarios.

You do not have full access to this article.

Already a Subscriber? Sign in as an individual or via your institution

Journal Article Details

Publisher Name:    Global Science Press

Language:    English

DOI:    https://doi.org/10.4208/aamm.OA-2016-0115

Advances in Applied Mathematics and Mechanics, Vol. 9 (2017), Iss. 6 : pp. 1438–1460

Published online:    2017-01

AMS Subject Headings:    Global Science Press

Copyright:    COPYRIGHT: © Global Science Press

Pages:    23

Keywords:    Asymptotically stable coexistence Fourier spectral method numerical simulations predator-prey fractional multi-species system.

Author Details

Kolade M. Owolabi

Abdon Atangana

  1. Computational study of noninteger order system of predation

    Owolabi, Kolade M.

    Chaos: An Interdisciplinary Journal of Nonlinear Science, Vol. 29 (2019), Iss. 1

    https://doi.org/10.1063/1.5079616 [Citations: 22]
  2. Spatiotemporal chaos in diffusive systems with the Riesz fractional order operator

    Owolabi, Kolade M. | Pindza, Edson

    Chinese Journal of Physics, Vol. 77 (2022), Iss. P.2258

    https://doi.org/10.1016/j.cjph.2021.12.031 [Citations: 7]
  3. A mass-energy preserving Galerkin FEM for the coupled nonlinear fractional Schrödinger equations

    Zhang, Guoyu | Huang, Chengming | Li, Meng

    The European Physical Journal Plus, Vol. 133 (2018), Iss. 4

    https://doi.org/10.1140/epjp/i2018-11982-3 [Citations: 12]
  4. Adaptive techniques for solving chaotic system of parabolic-type

    Owolabi, Kolade M. | Pindza, Edson

    Scientific African, Vol. 19 (2023), Iss. P.e01490

    https://doi.org/10.1016/j.sciaf.2022.e01490 [Citations: 2]
  5. Stability analysis for fractional order advection–reaction diffusion system

    Khan, Hasib | Gómez-Aguilar, J.F. | Khan, Aziz | Khan, Tahir Saeed

    Physica A: Statistical Mechanics and its Applications, Vol. 521 (2019), Iss. P.737

    https://doi.org/10.1016/j.physa.2019.01.102 [Citations: 70]
  6. Time-Fractional Diffusion with Mass Absorption in a Half-Line Domain due to Boundary Value of Concentration Varying Harmonically in Time

    Povstenko, Yuriy | Kyrylych, Tamara

    Entropy, Vol. 20 (2018), Iss. 5 P.346

    https://doi.org/10.3390/e20050346 [Citations: 5]
  7. Analytical Solution of Generalized Space-Time Fractional Advection-Dispersion Equation via Coupling of Sumudu and Fourier Transforms

    Gill, Vinod | Singh, Jagdev | Singh, Yudhveer

    Frontiers in Physics, Vol. 6 (2019), Iss.

    https://doi.org/10.3389/fphy.2018.00151 [Citations: 16]
  8. New predictor‐corrector scheme for solving nonlinear differential equations with Caputo‐Fabrizio operator

    Toh, Yoke Teng | Phang, Chang | Loh, Jian Rong

    Mathematical Methods in the Applied Sciences, Vol. 42 (2019), Iss. 1 P.175

    https://doi.org/10.1002/mma.5331 [Citations: 24]
  9. Numerical study of isothermal heterogeneous catalysis exhibiting multiple steady states, limit cycles, and chaos in a complex reaction network

    Luo, Yuan‐Hong | Chien, Yu‐Shu | Chiou, Ming‐Shen | Lin, Yeong‐Iuan | Li, Hsing‐Ya

    Asia-Pacific Journal of Chemical Engineering, Vol. 13 (2018), Iss. 5

    https://doi.org/10.1002/apj.2244 [Citations: 2]
  10. FPGA implementation and control of chaotic systems involving the variable-order fractional operator with Mittag–Leffler law

    Ávalos-Ruiz, L.F. | Zúñiga-Aguilar, C.J. | Gómez-Aguilar, J.F. | Escobar-Jiménez, R.F. | Romero-Ugalde, H.M.

    Chaos, Solitons & Fractals, Vol. 115 (2018), Iss. P.177

    https://doi.org/10.1016/j.chaos.2018.08.021 [Citations: 45]
  11. Modelling and analysis of fractal-fractional partial differential equations: Application to reaction-diffusion model

    Owolabi, Kolade M. | Atangana, Abdon | Akgul, Ali

    Alexandria Engineering Journal, Vol. 59 (2020), Iss. 4 P.2477

    https://doi.org/10.1016/j.aej.2020.03.022 [Citations: 149]
  12. Theory and application for the time fractional Gardner equation with Mittag-Leffler kernel

    Korpinar, Zeliha | Inc, Mustafa | Baleanu, Dumitru | Bayram, Mustafa

    Journal of Taibah University for Science, Vol. 13 (2019), Iss. 1 P.813

    https://doi.org/10.1080/16583655.2019.1640446 [Citations: 36]
  13. Fourier spectral exponential time differencing methods for multi-dimensional space-fractional reaction–diffusion equations

    Alzahrani, S.S. | Khaliq, A.Q.M.

    Journal of Computational and Applied Mathematics, Vol. 361 (2019), Iss. P.157

    https://doi.org/10.1016/j.cam.2019.04.001 [Citations: 20]
  14. Distributed order model of labor migration

    Balcı, Mehmet Ali

    International Journal of Nonlinear Sciences and Numerical Simulation, Vol. 24 (2023), Iss. 7 P.2497

    https://doi.org/10.1515/ijnsns-2021-0056 [Citations: 0]
  15. Robustness of fractional difference schemes via the Caputo subdiffusion-reaction equations

    Owolabi, Kolade M. | Atangana, Abdon

    Chaos, Solitons & Fractals, Vol. 111 (2018), Iss. P.119

    https://doi.org/10.1016/j.chaos.2018.04.019 [Citations: 53]
  16. A fractional mathematical model of breast cancer competition model

    Solís-Pérez, J.E. | Gómez-Aguilar, J.F. | Atangana, A.

    Chaos, Solitons & Fractals, Vol. 127 (2019), Iss. P.38

    https://doi.org/10.1016/j.chaos.2019.06.027 [Citations: 54]