A Hybrid Method Based on Block-Pulse Functions and Bernoulli Polynomials for the Efficient Numerical Solution of Two-Dimensional Fractional Differential Equations
DOI:
https://doi.org/10.17977/um067v6i32026p2Keywords:
Two-dimensional fractional differential equations, Block-Pulse Function, Bernoulli Polynomials, fractional operational matrices, collocation methodAbstract
The current paper is a new hybrid numerical approach to the solution of two-dimensional fractional differential equations (FDEs) based on Block-Pulse Functions (BPFs) and compact support as well as Bernoulli polynomials (BPs) with fast global convergence. The fractional differential equation is converted into a system of linear algebraic equations through the proposed method based on collocation methods at Gauss-Lobotto points, using operational matrices of fractional integral and derivative operators. The algorithm can be used with small bases (M≤5) to achieve high accuracy. The effectiveness of the method is confirmed by four numerical examples (including linear and nonlinear fractional differential equations) and a comparison with classical numerical methods. The approach is also used to a practical model to simulate the dispersion of the pollutants in the multi-layered soil systems. Findings indicate that hybrid approach provides a good compromise between computational cost and computational accuracy even with non-smooth solutions or complicated domains.
References
Benson, D. A., Wheatcraft, S. W., & Meerschaert, M. M. (2000). Application of a fractional advection-dispersion equation. Water Resources Research, 36(6), 1403–1412.
Bhrawy, A. H., & Alghamdi, M. A. (2014). A hybrid numerical scheme for fractional PDEs using block-pulse and Bernoulli polynomials. Applied Mathematics and Computation, 242, 1–12.
Chen, M. H., Deng, W. H., & Barkai, E. (2012). Numerical methods for fractional diffusion equations. Journal of Computational Physics, 231(4), 1234–1245.
Diethelm, K. (2010). The analysis of fractional differential equations: An application-oriented exposition using differential operators of Caputo type. Springer.
Doha, E. H., Bhrawy, A. H., & Ezz-Eldien, S. S. (2011). Efficient Chebyshev spectral methods for solving fractional differential equations. Applied Mathematical Modelling, 35(12), 5662–5672.
Gao, G. H., Sun, Z. Z., & Zhang, H. W. (2014). A new fractional numerical differentiation formula to approximate the Caputo fractional derivative and applications. Numerical Methods for Partial Differential Equations, 30(2), 369–380.
Garrappa, R. (2018). Numerical solution of fractional differential equations. Mathematics, 6(2), 16.
Jin, B., Lazarov, R., & Zhou, Z. (2021). An analysis of the L1 scheme for the subdiffusion equation with nonsmooth data. IMA Journal of Numerical Analysis, 41(3), 1962–1999.
Li, C., & Zeng, F. (2015). Numerical methods for fractional calculus. Chapman & Hall/CRC.
Liao, H., Li, D., & Zhang, J. (2020). Sharp error estimate of nonuniform L1 formula for linear reaction-subdiffusion equations. SIAM Journal on Numerical Analysis, 58(2), 1112–1134.
Lu, B., Liu, X., Dong, P., Tick, G. R., Zheng, C., & Lamy, E. (2020). Quantifying fate and transport of nitrate in saturated soil systems using fractional derivative model. Applied Mathematical Modelling, 84, 279–295.
Lubich, C. (1986). Discretized fractional calculus. SIAM Journal on Numerical Analysis, 23(4), 704–719.
Mainardi, F. (1997). Fractional calculus. In A. Carpinteri & F. Mainardi (Eds.), Fractals and fractional calculus in continuum mechanics (pp. 291–348). Springer.
Meerschaert, M. M., & Tadjeran, C. (2006). Finite difference approximations for two-sided space-fractional partial differential equations. Applied Numerical Mathematics, 56(1), 80–90.
Oldham, K. B., & Spanier, J. (1974). The fractional calculus: Theory and applications of differentiation and integration to arbitrary order. Dover Publications.
Podlubny, I. (1999). Fractional differential equations. Academic Press.
Saadatmandi, A., & Dehghan, M. (2010). A new operational matrix for solving fractional differential equations. Computers & Mathematics with Applications, 59(3), 1326–1336.
Sun, H., Zhang, Y., Baleanu, D., Chen, W., & Chen, Y. (2018). A new collection of real world applications of fractional calculus in science and engineering. Communications in Nonlinear Science and Numerical Simulation, 64, 213–231.
Zayernouri, M., & Karniadakis, G. E. (2013). Fractional spectral collocation methods for linear and nonlinear fractional differential equations. Journal of Computational Physics, 252, 495–517.
Zhang, Y., Benson, D. A., & Reeves, D. M. (2009). Time and space nonlocalities underlying fractional-derivative models: Distinctions and literature review of field applications. Advances in Water Resources, 32(4), 561–569.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2026 Mohammed Saleh Hadi

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





1.png)
4.png)




