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Numerical approach based on fractional-order Lagrange polynomials for solving a class of fractional differential equations

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Abstract

In this study, we propose a new set of fractional functions based on the Lagrange polynomials to solve a class of fractional differential equations. Fractional differential equations are the best tools for modelling natural phenomenon that are elaborated by fractional calculus. Therefore, we need an accurate and efficient technique for solving them. The main purpose of this article is to generalize new functions based on Lagrange polynomials to the fractional calculus. At first, we present a new representation of Lagrange polynomials and in continue, we propose a new set of fractional-order functions which are called fractional-order Lagrange polynomials (FLPs). Besides, a general formulation for operational matrices of fractional integration and derivative of FLPs on arbitrary nodal points are extracted. These matrices are obtained using Laplace transform. The initial value problems is reduced to the system of algebraic equations using the operational matrix of fractional integration and collocation method. Also, we find the upper bound of error vector for the fractional integration operational matrix and we indicate convergence of approximations of FLPs. Illustrative examples are included to demonstrate the validity and applicability of the proposed technique.

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Authors and Affiliations

  1. Department of Mathematics, Faculty of Mathematical Sciences, Alzahra University, Tehran, Iran

    S. Sabermahani & Y. Ordokhani

  2. Department of Mathematics, Faculty of Mathematical Sciences, Shahid Beheshti University, Tehran, Iran

    S. A. Yousefi

Authors
  1. S. Sabermahani
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  2. Y. Ordokhani
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  3. S. A. Yousefi
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Corresponding author

Correspondence to Y. Ordokhani.

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Communicated by José Tenreiro Machado.

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Sabermahani, S., Ordokhani, Y. & Yousefi, S.A. Numerical approach based on fractional-order Lagrange polynomials for solving a class of fractional differential equations. Comp. Appl. Math. 37, 3846–3868 (2018). https://doi.org/10.1007/s40314-017-0547-5

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  • DOI: https://doi.org/10.1007/s40314-017-0547-5

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