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Analysis of a fully discrete scheme based on the barycentric interpolation method for nonlinear fractional reaction-convection-diffusion equations

  • Published: 17 July 2026
  • The primary objective of this study is to develop and analyze a numerical scheme to solve nonlinear fractional reaction-convection-diffusion equations, where the fractional derivative is interpreted in the Caputo sense. First, the nonlinear system is linearized using a direct linearization strategy, after which a barycentric rational interpolation method is employed to construct a fully discrete numerical scheme. A rigorous theoretical framework is established to demonstrate the stability and convergence of the proposed method. To corroborate the theoretical findings, several numerical experiments are conducted, illustrating the method's accuracy, robustness, and computational efficiency. This work advances the numerical analysis of nonlinear systems characterized by fractional-order dynamics and provides effective computational tools to model complex processes in various scientific and engineering contexts.

    Citation: Lingna Lu, Leilei Wei. Analysis of a fully discrete scheme based on the barycentric interpolation method for nonlinear fractional reaction-convection-diffusion equations[J]. Networks and Heterogeneous Media, 2026, 21(4): 1524-1543. doi: 10.3934/nhm.2026058

    Related Papers:

  • The primary objective of this study is to develop and analyze a numerical scheme to solve nonlinear fractional reaction-convection-diffusion equations, where the fractional derivative is interpreted in the Caputo sense. First, the nonlinear system is linearized using a direct linearization strategy, after which a barycentric rational interpolation method is employed to construct a fully discrete numerical scheme. A rigorous theoretical framework is established to demonstrate the stability and convergence of the proposed method. To corroborate the theoretical findings, several numerical experiments are conducted, illustrating the method's accuracy, robustness, and computational efficiency. This work advances the numerical analysis of nonlinear systems characterized by fractional-order dynamics and provides effective computational tools to model complex processes in various scientific and engineering contexts.



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    [1] X. X. Dong, W. J. Li, Q. Liu, H. H. Wang, Research on convection-reaction-diffusion model of contaminants in fracturing flowback fluid in non-equidistant fractures with arbitrary inclination of shale gas development, J. Pet. Sci. Technol., 208 (2022), 109479. https://doi.org/10.1016/j.petrol.2021.109479 doi: 10.1016/j.petrol.2021.109479
    [2] L. Blanco-Cocom, S. Botello-Rionda, L. C. Ordoñez, S. I. Valdez, A reaction-convection-diffusion model for PEM fuel cells, Finite Elem. Anal. Des., 201 (2022), 103703. https://doi.org/10.1016/j.finel.2021.103703 doi: 10.1016/j.finel.2021.103703
    [3] V. R. Hosseini, A. A. Mehrizi, H. Karimi-Maleh, M. Naddafi, A numerical solution of fractional reaction-convection-diffusion for modeling PEM fuel cells based on a meshless approach, Eng. Anal. Boundary Elem., 155 (2023), 707–716. https://doi.org/10.1016/j.enganabound.2023.06.016 doi: 10.1016/j.enganabound.2023.06.016
    [4] L. Wei, L. Feng, I. Turner, Z. Mao, F. Liu, Numerical investigation of the 2D unsteady natural convection heat transfer equation with tempered fractional constitutive relationship, Commun. Nonlinear Sci. Numer. Simul., 161 (2026), 110071. https://doi.org/10.1016/j.cnsns.2026.110071 doi: 10.1016/j.cnsns.2026.110071
    [5] X. Y. Wang, D. Posny, J. Wang, A reaction-convection-diffusion model for cholera spatial dynamics, Discrete Contin. Dyn. Syst. - Ser. B, 21 (2016), 2785–2809. https://doi.org/10.3934/dcdsb.2016073 doi: 10.3934/dcdsb.2016073
    [6] B. L. Guo, X. K. Pu, F. H. Huang, Fractional Partial Differential Equations and their Numerical Solutions, World Scientific, 2015. Available from: https://www.gbv.de/dms/tib-ub-hannover/817227784.pdf.
    [7] I. Podlubny, Fractional Differential Equations, Academic Press, New York, 1999.
    [8] L. Wei, Y. Chen, F. Qin, J. Huang, P. Li, The discontinuous Galerkin method for solving the two-dimensional transport equation with distributed-order memory kernel on triangular meshes, Appl. Numer. Math., 228 (2026), 57–70. https://doi.org/10.1016/j.apnum.2026.05.009 doi: 10.1016/j.apnum.2026.05.009
    [9] Z. H. Gong, C. Y. Liu, B. Wiwatanapataphee, Y. H. Wu, Numerical computation of fractional optimal switched impulsive control problems with time-delay, J. Comput. Appl. Math., 482 (2026), 117315. https://doi.org/10.1016/j.cam.2025.117315 doi: 10.1016/j.cam.2025.117315
    [10] X. D. Zhang, Y. L. Feng, L. L. Wei, High-precision numerical simulation for fractional convection-diffusion-reaction equations, Math. Methods Appl. Sci., (2026), 1–18. https://doi.org/10.1002/mma.70756
    [11] E. F. Anley, M. Basha, A. Hussain, B. X. Dai, Numerical simulation for nonlinear space-fractional reaction convection-diffusion equation with its application, Alexandria Eng. J., 65 (2023), 245–261. https://doi.org/10.1016/j.aej.2022.10.047 doi: 10.1016/j.aej.2022.10.047
    [12] Y. Chen, Q. Li, H. Yi, Y. Huang, Immersed finite element method for time fractional diffusion problems with discontinuous coefficients, Comput. Math. Appl., 128 (2022), 121–129. https://doi.org/10.1016/j.camwa.2022.09.023 doi: 10.1016/j.camwa.2022.09.023
    [13] W. J. Liu, Exponential tracking and disturbance rejection for nonlinear reaction convection diffusion equations via boundary control, SIAM J. Control Optim., 61 (2023), 151–169. https://doi.org/10.1137/21M1456546 doi: 10.1137/21M1456546
    [14] M. Basha, E. F. Anley, B. Dai, Numerical solution for a nonlinear time-space fractional convection-diffusion equation, J. Comput. Nonlinear Dyn., 18 (2023), 011006. https://doi.org/10.1115/1.4056218 doi: 10.1115/1.4056218
    [15] M. H. Heydari, Z. Avazzadeh, A. Atangana, Orthonormal shifted discrete Legendre polynomials for solving a coupled system of nonlinear variable-order time fractional reaction-advection-diffusion equations, Appl. Numer. Math., 161 (2021), 425–436. https://doi.org/10.1016/j.apnum.2020.11.020 doi: 10.1016/j.apnum.2020.11.020
    [16] K. D. Dwivedi, S. Das, Rajeev, D. Baleanu, Numerical solution of highly non-linear fractional order reaction advection diffusion equation using the cubic B-spline collocation method, Int. J. Nonlinear Sci. Numer. Simul., 23 (2022), 1157–1172. https://doi.org/10.1515/ijnsns-2020-0112 doi: 10.1515/ijnsns-2020-0112
    [17] X. D. Zhang, Y. L. Feng, Z. Y. Luo, J. Liu, A spatial sixth-order numerical scheme for solving fractional partial differential equation, Appl. Math. Lett., 159 (2025), 109265. https://doi.org/10.1016/j.aml.2024.109265 doi: 10.1016/j.aml.2024.109265
    [18] S. Torkaman, M. Heydari, G. B. Loghmani, A combination of the quasilinearization method and linear barycentric rational interpolation to solve nonlinear multi-dimensional Volterra integral equations, Math. Comput. Simul., 208 (2023), 366–397. https://doi.org/10.1016/j.matcom.2023.01.039 doi: 10.1016/j.matcom.2023.01.039
    [19] H. Y. Liu, Y. Y. Ma, H. Li, W. Zhang, Combination of discrete technique on graded meshes with barycentric rational interpolation for solving a class of time-dependent partial integro-differential equations with weakly singular kernels, Comput. Math. Appl., 141 (2023), 159–169. https://doi.org/10.1016/j.camwa.2023.04.018 doi: 10.1016/j.camwa.2023.04.018
    [20] I. F. khalilabad, S. I. Pakchin, S. A. Mazraeh, High-order finite difference method based on linear barycentric rational interpolation for Caputo type sub-diffusion equation, Math. Comput. Simul., 199 (2022), 60–80. https://doi.org/10.1016/j.matcom.2022.03.008 doi: 10.1016/j.matcom.2022.03.008
    [21] J. Li, Linear barycentric rational collocation method for solving biharmonic equation, Demonstratio Math., 55 (2022), 587–603. https://doi.org/10.1515/dema-2022-0151 doi: 10.1515/dema-2022-0151
    [22] M. M. Yang, W. T. Ma, Y. B. Ge, Barycentric rational interpolation method of the Helmholtz equation with irregular domain, Math. Model. Anal., 28 (2023), 330–351. https://doi.org/10.3846/mma.2023.16408 doi: 10.3846/mma.2023.16408
    [23] J. Li, Y. L. Cheng, Barycentric rational interpolation method for solving time-dependent fractional convection-diffusion equation, Electron. Res. Arch., 31 (2023), 4034–4056. https://doi.org/10.3934/era.2023205 doi: 10.3934/era.2023205
    [24] M. S. Floater, K. Hormann, Barycentric rational interpolation with no poles and high rates of approximation, Numer. Math., 107 (2007), 315–331. https://doi.org/10.1007/s00211-007-0093-y doi: 10.1007/s00211-007-0093-y
    [25] X. D. Zhang, Y. Chen, L. L. Wei, High-order numerical approximation for 2D time-fractional advection–diffusion equation under caputo derivative, Fractal Fract., 8 (2024), 474. https://doi.org/10.3390/fractalfract8080474 doi: 10.3390/fractalfract8080474
    [26] B. Fornberg, A Practical Guide to Pseudospectral Methods, Cambridge University Press, 1998.
    [27] E. Cirillo, K. Hormann, J. Sidon, Convergence rates of derivatives of Floater-Hormann interpolants for well-spaced nodes, Appl. Numer. Math., 116 (2017), 108–118. https://doi.org/10.1016/j.apnum.2016.07.008 doi: 10.1016/j.apnum.2016.07.008
    [28] L. Bos, S. D. Marchi, K. Hormann, G. Klein, On the Lebesgue constant of barycentric rational interpolation at equidistant nodes, Numer. Math., 121 (2012), 461–471. https://doi.org/10.1007/s00211-011-0442-8 doi: 10.1007/s00211-011-0442-8
    [29] A. S. V. Ravi Kanth, N. Garg, An implicit numerical scheme for a class of multi-term time-fractional diffusion equation, Eur. Phys. J. Plus, 134 (2019), 312. https://doi.org/10.1140/epjp/i2019-12696-8 doi: 10.1140/epjp/i2019-12696-8
    [30] J. Izadian, F. Nateghi, M. Jalili, Comparison of spectral and differential quadrature methods for solving the Burger-Huxley equation, Commun. Numer. Anal., 2013 (2013), 1–7. https://doi.org/10.5899/2013/cna-00171 doi: 10.5899/2013/cna-00171
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