Journal of Prime Research in Mathematics
Vol. 18 (2022), Issue 2, pp. 42 – 54
ISSN: 1817-3462E (Online) 1818-5495 (Print)
ISSN: 1817-3462E (Online) 1818-5495 (Print)
On the solutions of nonlinear Caputo–Fabrizio fractional partial differential equations arising in applied mathematics
Ali Khalouta
Laboratory of Fundamental and Numerical Mathematics, Department of Mathematics, Faculty of Sciences , Ferhat Abbas S´etif University 1, 19000 S´etif, Algeria.
Correspondence should be addressed to: ali.khalouta@univ-setif.dz
Copyright © 2022 Ali Khalouta. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Published: Received: : 25 May 2022; Accepted: 14 July 2022; Published Online: 26 September 2022.
Abstract
This paper proposes a new semi-analytical method known as the variational iteration transform method (VITM) to obtain the solutions of the nonlinear Caputo–Fabrizio fractional partial differential equations arising in applied mathematics. For nonlinear equations in general, there is no method that gives an exact solution and, therefore, only approximate analytical solutions can be derived by using procedures such as linearization or perturbation. This method is combined form of the Aboodh transform and the variational iteration method. The advantage of VITM is the simplicity of the computations and the non-requirement of linearization or smallness assumptions. Moreover, this method enables us to overcome the difficulties arising in identifying the general Lagrange multiplier. For further illustrations of the efficiency and reliability of VITM, some numerical applications are pesented. The numerical results showed that the proposed method is efficient and precise to obtain the solutions of nonlinear fractional partial differential equations.
Keywords:
Fractional partial differential equations, Caputo–Fabrizio fractional derivative, Aboodh transform, variational iteration transform method, general lagrange multiplier.