Two Efficient Generalized Laguerre Spectral Algorithms for Fractional Initial Value Problems

We present a direct solution technique for approximating linear multiterm fractional differential equations (FDEs) on semi-infinite interval, using generalized Laguerre polynomials. We derive the operational matrix of Caputo fractional derivative of the generalized Laguerre polynomials which is appl...

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Main Authors: D. Baleanu, A. H. Bhrawy, T. M. Taha
Format: Article
Language:English
Published: Hindawi Limited 2013-01-01
Series:Abstract and Applied Analysis
Online Access:http://dx.doi.org/10.1155/2013/546502
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spelling doaj-16a10e0cd7564c7e80a66e94a8c358f22020-11-24T22:07:28ZengHindawi LimitedAbstract and Applied Analysis1085-33751687-04092013-01-01201310.1155/2013/546502546502Two Efficient Generalized Laguerre Spectral Algorithms for Fractional Initial Value ProblemsD. Baleanu0A. H. Bhrawy1T. M. Taha2Department of Mathematics and Computer Sciences, Faculty of Arts and Sciences, Cankaya University, Eskisehir Yolu 29.Km, 06810 Ankara, TurkeyDepartment of Mathematics, Faculty of Science, King Abdulaziz University, Jeddah, Saudi ArabiaDepartment of Mathematics, Faculty of Science, Beni-Suef University, Beni Suef, EgyptWe present a direct solution technique for approximating linear multiterm fractional differential equations (FDEs) on semi-infinite interval, using generalized Laguerre polynomials. We derive the operational matrix of Caputo fractional derivative of the generalized Laguerre polynomials which is applied together with generalized Laguerre tau approximation for implementing a spectral solution of linear multiterm FDEs on semi-infinite interval subject to initial conditions. The generalized Laguerre pseudo-spectral approximation based on the generalized Laguerre operational matrix is investigated to reduce the nonlinear multiterm FDEs and its initial conditions to nonlinear algebraic system, thus greatly simplifying the problem. Through several numerical examples, we confirm the accuracy and performance of the proposed spectral algorithms. Indeed, the methods yield accurate results, and the exact solutions are achieved for some tested problems.http://dx.doi.org/10.1155/2013/546502
collection DOAJ
language English
format Article
sources DOAJ
author D. Baleanu
A. H. Bhrawy
T. M. Taha
spellingShingle D. Baleanu
A. H. Bhrawy
T. M. Taha
Two Efficient Generalized Laguerre Spectral Algorithms for Fractional Initial Value Problems
Abstract and Applied Analysis
author_facet D. Baleanu
A. H. Bhrawy
T. M. Taha
author_sort D. Baleanu
title Two Efficient Generalized Laguerre Spectral Algorithms for Fractional Initial Value Problems
title_short Two Efficient Generalized Laguerre Spectral Algorithms for Fractional Initial Value Problems
title_full Two Efficient Generalized Laguerre Spectral Algorithms for Fractional Initial Value Problems
title_fullStr Two Efficient Generalized Laguerre Spectral Algorithms for Fractional Initial Value Problems
title_full_unstemmed Two Efficient Generalized Laguerre Spectral Algorithms for Fractional Initial Value Problems
title_sort two efficient generalized laguerre spectral algorithms for fractional initial value problems
publisher Hindawi Limited
series Abstract and Applied Analysis
issn 1085-3375
1687-0409
publishDate 2013-01-01
description We present a direct solution technique for approximating linear multiterm fractional differential equations (FDEs) on semi-infinite interval, using generalized Laguerre polynomials. We derive the operational matrix of Caputo fractional derivative of the generalized Laguerre polynomials which is applied together with generalized Laguerre tau approximation for implementing a spectral solution of linear multiterm FDEs on semi-infinite interval subject to initial conditions. The generalized Laguerre pseudo-spectral approximation based on the generalized Laguerre operational matrix is investigated to reduce the nonlinear multiterm FDEs and its initial conditions to nonlinear algebraic system, thus greatly simplifying the problem. Through several numerical examples, we confirm the accuracy and performance of the proposed spectral algorithms. Indeed, the methods yield accurate results, and the exact solutions are achieved for some tested problems.
url http://dx.doi.org/10.1155/2013/546502
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AT ahbhrawy twoefficientgeneralizedlaguerrespectralalgorithmsforfractionalinitialvalueproblems
AT tmtaha twoefficientgeneralizedlaguerrespectralalgorithmsforfractionalinitialvalueproblems
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