Solving Non-Linear Fractional Variational Problems Using Jacobi Polynomials
The aim of this paper is to solve a class of non-linear fractional variational problems (NLFVPs) using the Ritz method and to perform a comparative study on the choice of different polynomials in the method. The Ritz method has allowed many researchers to solve different forms of fractional variatio...
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doaj-a14ca7856a8d470ea9e9e85583c228702020-11-25T01:51:07ZengMDPI AGMathematics2227-73902019-02-017322410.3390/math7030224math7030224Solving Non-Linear Fractional Variational Problems Using Jacobi PolynomialsHarendra Singh0Rajesh K. Pandey1Hari Mohan Srivastava2Department of Mathematics, Post Graduate College, Ghazipur 233001, IndiaDepartment of Mathematical Sciences, Indian Institute of Technology (BHU) Varanasi, Varanasi 221005, IndiaDepartment of Mathematics and Statistics, University of Victoria, Victoria, British Columbia V8W 3R4, CanadaThe aim of this paper is to solve a class of non-linear fractional variational problems (NLFVPs) using the Ritz method and to perform a comparative study on the choice of different polynomials in the method. The Ritz method has allowed many researchers to solve different forms of fractional variational problems in recent years. The NLFVP is solved by applying the Ritz method using different orthogonal polynomials. Further, the approximate solution is obtained by solving a system of nonlinear algebraic equations. Error and convergence analysis of the discussed method is also provided. Numerical simulations are performed on illustrative examples to test the accuracy and applicability of the method. For comparison purposes, different polynomials such as 1) Shifted Legendre polynomials, 2) Shifted Chebyshev polynomials of the first kind, 3) Shifted Chebyshev polynomials of the third kind, 4) Shifted Chebyshev polynomials of the fourth kind, and 5) Gegenbauer polynomials are considered to perform the numerical investigations in the test examples. Further, the obtained results are presented in the form of tables and figures. The numerical results are also compared with some known methods from the literature.https://www.mdpi.com/2227-7390/7/3/224non-linear fractional variational problemsorthogonal polynomialsRayleigh-Ritz methoderror analysisconvergence analysis |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Harendra Singh Rajesh K. Pandey Hari Mohan Srivastava |
spellingShingle |
Harendra Singh Rajesh K. Pandey Hari Mohan Srivastava Solving Non-Linear Fractional Variational Problems Using Jacobi Polynomials Mathematics non-linear fractional variational problems orthogonal polynomials Rayleigh-Ritz method error analysis convergence analysis |
author_facet |
Harendra Singh Rajesh K. Pandey Hari Mohan Srivastava |
author_sort |
Harendra Singh |
title |
Solving Non-Linear Fractional Variational Problems Using Jacobi Polynomials |
title_short |
Solving Non-Linear Fractional Variational Problems Using Jacobi Polynomials |
title_full |
Solving Non-Linear Fractional Variational Problems Using Jacobi Polynomials |
title_fullStr |
Solving Non-Linear Fractional Variational Problems Using Jacobi Polynomials |
title_full_unstemmed |
Solving Non-Linear Fractional Variational Problems Using Jacobi Polynomials |
title_sort |
solving non-linear fractional variational problems using jacobi polynomials |
publisher |
MDPI AG |
series |
Mathematics |
issn |
2227-7390 |
publishDate |
2019-02-01 |
description |
The aim of this paper is to solve a class of non-linear fractional variational problems (NLFVPs) using the Ritz method and to perform a comparative study on the choice of different polynomials in the method. The Ritz method has allowed many researchers to solve different forms of fractional variational problems in recent years. The NLFVP is solved by applying the Ritz method using different orthogonal polynomials. Further, the approximate solution is obtained by solving a system of nonlinear algebraic equations. Error and convergence analysis of the discussed method is also provided. Numerical simulations are performed on illustrative examples to test the accuracy and applicability of the method. For comparison purposes, different polynomials such as 1) Shifted Legendre polynomials, 2) Shifted Chebyshev polynomials of the first kind, 3) Shifted Chebyshev polynomials of the third kind, 4) Shifted Chebyshev polynomials of the fourth kind, and 5) Gegenbauer polynomials are considered to perform the numerical investigations in the test examples. Further, the obtained results are presented in the form of tables and figures. The numerical results are also compared with some known methods from the literature. |
topic |
non-linear fractional variational problems orthogonal polynomials Rayleigh-Ritz method error analysis convergence analysis |
url |
https://www.mdpi.com/2227-7390/7/3/224 |
work_keys_str_mv |
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