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...

Full description

Bibliographic Details
Main Authors: Harendra Singh, Rajesh K. Pandey, Hari Mohan Srivastava
Format: Article
Language:English
Published: MDPI AG 2019-02-01
Series:Mathematics
Subjects:
Online Access:https://www.mdpi.com/2227-7390/7/3/224
id doaj-a14ca7856a8d470ea9e9e85583c22870
record_format Article
spelling 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 AT harendrasingh solvingnonlinearfractionalvariationalproblemsusingjacobipolynomials
AT rajeshkpandey solvingnonlinearfractionalvariationalproblemsusingjacobipolynomials
AT harimohansrivastava solvingnonlinearfractionalvariationalproblemsusingjacobipolynomials
_version_ 1724998432944291840