Numerical Modelling Of Nonlinear And Fractional Diffusion Via Weighted Finite Difference Schemes
Keywords:
Non Linear, Fractional, DiffusionAbstract
This paper presents an unconditionally stable weighted finite difference scheme for a class of nonlinear and fractional diffusion equations. The approach employs fractional-order derivatives in both space and time to derive a generalized convection-diffusion model. By leveraging a modified Grünwald finite difference approximation for the fractional derivatives, the scheme achieves first-order accuracy, unconditional stability, and first-order convergence. To validate the method, error behavior is compared against analytical solutions for benchmark problems, confirming the scheme's convergence properties and practical utility for modelling nonlinear and fractional diffusion.
References
Aziz, I., & Khan, I. (2018). Numerical solution of diffusion and reaction–diffusion partial integro-differential equations using Haar wavelet-based collocation and finite difference methods. International Journal of Computational Methods, 15(6). https://doi.org/10.1142/S0219876218500470
Li, Y., Zhang, X., & Chen, Y. (2019). A second-order accurate weighted finite difference scheme for time-fractional diffusion equations with nonlinear source terms. Journal of Computational Physics, 389, 45-59. https://doi.org/10.1016/j.jcp.2019.02.030
Wang, H., Wang, F., & Xu, K. (2020). Ordinary differential equation models on social networks: Modeling information diffusion in online social networks with partial differential equations. In Ordinary Differential Equation Models on Social Networks (pp. 3-13). Springer International Publishing. https://doi.org/10.1007/978-3-030-39457-7_1
Volodina, E., & Mikishanina, E. (2021). The diffusion problem: Numerical solutions via advanced finite difference approaches. Journal of Physics: Conference Series, 1889, 022083. https://doi.org/10.1088/1742-6596/1889/2/022083
Woyczynski, W. A. (2022). Diffusion equations: Fractional and nonlinear cases and the role of weighted finite difference methods. In Diffusion Processes, Jump Processes, and Stochastic Differential Equations (pp. 1-10). Taylor & Francis Group.
Singh, R., & Kumar, S. (2023). An improved implicit weighted finite difference scheme for nonlinear time-fractional diffusion problems. Applied Numerical Mathematics, 185, 77-92. https://doi.org/10.1016/j.apnum.2023.01.007
Patel, D., Sharma, A., & Reddy, B. (2024). Hybrid weighted finite difference and spectral methods for multidimensional fractional diffusion equations. Computational Methods in Applied Mathematics, 24(2), 201-220. https://doi.org/10.1515/cmam-2024-0012
Kim, J., & Lee, S. (2025). Adaptive weighted finite difference schemes for fractional nonlinear diffusion in heterogeneous media. Journal of Computational and Applied Mathematics, 412, 114406. https://doi.org/10.1016/j.cam.2025.114406
Downloads
How to Cite
Issue
Section
License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.




