A fractional Adams method for Caputo fractional differential equations with modified graded meshes
Affiliation
Lyuliang University; University of ChesterPublication Date
2025-03-06
Metadata
Show full item recordAbstract
In this paper, we introduce an Adams-type predictor–corrector method based on a modified graded mesh for solving Caputo fractional differential equations. This method not only effectively handles the weak singularity near the initial point but also reduces errors associated with large intervals in traditional graded meshes. We prove the error estimates in detail for both 0<α<1 and 1<α<2 cases, where α is the order of the Caputo fractional derivative. Numerical experiments confirm the convergence of the proposed method and compare its performance with the traditional graded mesh approach.Citation
Yang, Y., & Yan, Y. (2025). A fractional Adams method for Caputo fractional differential equations with modified graded meshes. Mathematics, 13(5), article-number 891. https://doi.org/10.3390/math13050891Publisher
MDPIJournal
MathematicsAdditional Links
https://www.mdpi.com/2227-7390/13/5/891Type
ArticleLanguage
enDescription
© 2025 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).EISSN
2227-7390Sponsors
Unfundedae974a485f413a2113503eed53cd6c53
10.3390/math13050891
Scopus Count
Collections
Except where otherwise noted, this item's license is described as https://creativecommons.org/licenses/by/4.0/
Related items
Showing items related by title, author, creator and subject.
-
A novel high-order algorithm for the numerical estimation of fractional differential equationsAsl, Mohammad S.; Javidi, Mohammad; Yan, Yubin; University of Tabriz; University of Chester (Elsevier, 2018-01-09)This paper uses polynomial interpolation to design a novel high-order algorithm for the numerical estimation of fractional differential equations. The Riemann-Liouville fractional derivative is expressed by using the Hadamard finite-part integral and the piecewise cubic interpolation polynomial is utilized to approximate the integral. The detailed error analysis is presented and it is established that the convergence order of the algorithm is O(h4−a). Asymptotic expansion of the error for the presented algorithm is also investigated. Some numerical examples are provided and compared with the exact solution to show that the numerical results are in well agreement with the theoretical ones and also to illustrate the accuracy and efficiency of the proposed algorithm.
-
A finite element method for time fractional partial differential equationsYan, Yubin; Atallah, Samia A. (University of Chester, 2011-09)Fractional differential equations, particularly fractional partial differential equations (FPDEs) have many applications in areas such as diffusion processes, electromagnetics, electrochemistry, material science and turbulent flow. There are lots of work for the existence and uniqueness of the solutions for fractional partial differential equations. In recent years, people start to consider the numerical methods for solving fractional partial differential equation. The numerical methods include finite difference method, finite element method and the spectral method. In this dissertation, we mainly consider the finite element method, for the time fractional partial differential equation. We consider both time discretization and space discretization. We obtain the optimal error estimates both in time and space. The numerical examples demonstrate that the numerical results are consistent with the theoretical results.
-
Stability regions of numerical methods for solving fractional differential equationsYan, Yubin; Nwajeri, Kizito U. (University of Chester, 2012-09)This dissertation deals with proper consideration of stability regions of well known numerical methods for solving fractional differential equations. It is based on the algorithm by Diethelm [15], predictor-corrector algorithm by Garrappa [31] and the convolution quadrature proposed by Lubich [3]. Initially, we considered the stability regions of numerical methods for solving ordinary differential equation using boundary locus method as a stepping stone of understanding the subject matter in Chapter 4. We extend the idea to the fractional differential equation in the following chapter and conclude that each stability regions of the numerical methods differs because of their differences in weights. They are illustrated by a number of graphs.