A Novel Jacobi Operational Matrix for Numerical Solution of Multi-Term Variable-Order Fractional Differential Equations
No Thumbnail Available
Date
2020
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
Taylor & Francis Ltd
Open Access Color
OpenAIRE Downloads
OpenAIRE Views
Abstract
In this article, we introduce a numerical technique for solving a class of multi-term variable-order fractional differential equation.The method depends on establishing a shifted Jacobi operational matrix (SJOM) of fractional variable-order derivatives. By using the constructed (SJOM) in combination with the collocation technique, the main problem is reduced to an algebraic system of equations that can be solved numerically. The bound of the error estimate for the suggested method is investigated. Numerical examples are introduced to illustrate the applicability, generality, and accuracy of the proposed technique. Moreover, many physical applications problems that have the multi-term variable-order fractional differential equation formulae such as the damped mechanical oscillator problem and Bagley-Torvik equation can be solved via the presented method. Furthermore, the proposed method will be considered as a generalization of many numerical techniques.
Description
Agarwal, Praveen/0000-0001-7556-8942
ORCID
Keywords
Multi-Term Fractional Variable-Order Differential Equations, Jacobi Polynomials, Caputo Differential Operator, Operational Matrix
Turkish CoHE Thesis Center URL
Fields of Science
Citation
El-Sayed, A. A.; Baleanu, Dumitru; Agarwal, P. (2020). "A novel Jacobi operational matrix for numerical solution of multi-term variable-order fractional differential equations", Journal of Taibah University For Science, Vol. 14, No. 1, pp. 963-974.
WoS Q
Q2
Scopus Q
Q1

OpenCitations Citation Count
37
Source
Volume
14
Issue
1
Start Page
963
End Page
974
PlumX Metrics
Citations
CrossRef : 41
Scopus : 50
Captures
Mendeley Readers : 4
SCOPUS™ Citations
50
checked on Nov 24, 2025
Web of Science™ Citations
41
checked on Nov 24, 2025
Google Scholar™
