Stable Numerical Approach for Fractional Delay Differential Equations
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Date
2017
Journal Title
Journal ISSN
Volume Title
Publisher
Springer Wien
Open Access Color
Green Open Access
No
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Publicly Funded
No
Abstract
In this paper, we present a new stable numerical approach based on the operational matrix of integration of Jacobi polynomials for solving fractional delay differential equations (FDDEs). The operational matrix approach converts the FDDE into a system of linear equations, and hence the numerical solution is obtained by solving the linear system. The error analysis of the proposed method is also established. Further, a comparative study of the approximate solutions is provided for the test examples of the FDDE by varying the values of the parameters in the Jacobi polynomials. As in special case, the Jacobi polynomials reduce to the well-known polynomials such as (1) Legendre polynomial, (2) Chebyshev polynomial of second kind, (3) Chebyshev polynomial of third and (4) Chebyshev polynomial of fourth kind respectively. Maximum absolute error and root mean square error are calculated for the illustrated examples and presented in form of tables for the comparison purpose. Numerical stability of the presented method with respect to all four kind of polynomials are discussed. Further, the obtained numerical results are compared with some known methods from the literature and it is observed that obtained results from the proposed method is better than these methods.
Description
Pandey, Rajesh K/0000-0002-5198-4340; Singh, Harendra/0000-0003-1676-9992
Keywords
Fields of Science
0103 physical sciences, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 01 natural sciences
Citation
Singh, Harendra; Pandey, Rajesh K.; Baleanu, Dumitru, "Stable numerical approach for fractional delay differential equations", Few-Body Systems, Vol.58, No.6, (2017).
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OpenCitations Citation Count
25
Source
Few-Body Systems
Volume
58
Issue
6
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CrossRef : 1
Scopus : 24
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Mendeley Readers : 9
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26
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24
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2
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