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

Lingna Lu , Leilei Wei

Networks and Heterogeneous Media ›› 2026, Vol. 21 ›› Issue (4) : 1524 -1543.

PDF (7079KB)
Networks and Heterogeneous Media ›› 2026, Vol. 21 ›› Issue (4) :1524 -1543. DOI: 10.3934/nhm.2026058
Research article
research-article
Analysis of a fully discrete scheme based on the barycentric interpolation method for nonlinear fractional reaction-convection-diffusion equations
Author information +
History +
PDF (7079KB)

Abstract

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.

Keywords

Caputo derivative / barycentric rational interpolation / reaction-convection-diffusion equation

Cite this article

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

登录浏览全文

4963

注册一个新账户 忘记密码

References

[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

[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

[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

[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

[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

[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

[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

[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

[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

[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

[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

[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

[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

[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

[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

[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

[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

[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

[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

[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

[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

[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

[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

[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

[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

[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

PDF (7079KB)

23

Accesses

0

Citation

Detail

Sections
Recommended

/

〈 〉