Jacobi collocation method for the approximate solution of some fractional-order Riccati differential equations with variable coefficients

Harendra Singh and H.M. Srivastava

Physica A: Statistical Mechanics and its Applications, 2019, vol. 523, issue C, 1130-1149

Abstract: This paper presents a computational method for the approximate solution of arbitrary-order non-linear fractional Riccati differential equations with variable coefficients. Proposed computational method is a combination of the operational matrix of integration method and the collocation method associated with the Jacobi polynomials. Convergence analysis of the proposed method is provided. Numerical results for different fractional orders of the Riccati differential equations are discussed. Figures and tables are used to show the numerical results derived from the proposed computational method for particular cases of Jacobi polynomials such as the Legendre polynomials, the Chebyshev polynomials of the second kind, the Chebyshev polynomials of the third kind, the Chebyshev polynomial of the fourth kind, and the Gegenbauer (or ultraspherical) polynomials. Numerical results from the proposed methods are compared from those derived by using the existing analytical and numerical methods. It is observed that the results from the proposed method are more accurate. Maximum absolute error and the root-mean square error tables are given for all five kinds of polynomials for comparison purposes.

Keywords: Fractional-order Riccati differential equations; Jacobi polynomials; Collocation method; Operational matrix method; Convergence analysis; Error analysis (search for similar items in EconPapers)
Date: 2019
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Citations: View citations in EconPapers (7)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:523:y:2019:i:c:p:1130-1149

DOI: 10.1016/j.physa.2019.04.120

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