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

被引:59
|
作者
Singh, Harendra [1 ]
Srivastava, H. M. [2 ,3 ]
机构
[1] Postgrad Coll, Dept Math, Ghazipur 233001, Uttar Pradesh, India
[2] Univ Victoria, Dept Math & Stat, Victoria, BC V8W 3R4, Canada
[3] China Med Univ, China Med Univ Hosp, Dept Med Res, Taichung 40402, Taiwan
关键词
Fractional-order Riccati differential equations; Jacobi polynomials; Collocation method; Operational matrix method; Convergence analysis; Error analysis; OPERATIONAL MATRIX; NUMERICAL-SOLUTION; DIFFUSION-EQUATIONS; ERROR ESTIMATE; ALGORITHM; MODEL; POLYNOMIALS; INTEGRATION; CALCULUS;
D O I
10.1016/j.physa.2019.04.120
中图分类号
O4 [物理学];
学科分类号
0702 ;
摘要
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. (C) 2019 Elsevier B.V. All rights reserved.
引用
收藏
页码:1130 / 1149
页数:20
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