Fractional differential equations with an approximate solution using the natural variation iteration method


Abstract views: 123 / PDF downloads: 68

Authors

  • Athmar Razaaq Saeid Department of Mathematics, College of Education for Pure Science, University of Thi-Qar, Nasiriyah, Iraq
  • Lamees K. Alzaki Department of Mathematics, College of Education for Pure Science, University of Thi-Qar, Nasiriyah, Iraq

Keywords:

Fractional differential equations; Variation iteration method, Natural transform; Caputo fractional operators.

Abstract

The fractional natural variation iteration analysis is used in this study to analyze partial differential equations using the Caputo fractional operator (FNVIM). The FNVIM approach, which is a type of fractional Variation iteration with the natural transform, is used to generate the approximate analytical solutions. Illustrative scenarios show off the great accuracy and fast convergence of this innovative technique. The results show that the suggested approach may be used to solve nonlinear fractional differential equations. Furthermore, we show that FNVIM is more effective, transparent, and accurate in handling a large class of nonlinear equations utilizing the Caputo fractional operator, which makes it extremely valuable in physics and engineering.

References

Daftardar-Gejji, V. Jafari, H., An iterative method for solving nonlinear functional equations, J. Math. Anal. Appl 316, (2006), 753–763.

Jafari, H., Iterative Methods for Solving System of Fractional Differential Equations, Ph.D. Thesis, Pune University, (2006).

Jafari, H., Seifi, S., Alipoor, A., Zabihi, M., An iterative method for solving linear and nonlinear fractional diffusion-wave equation, J. Nonlinear Fract. Phenom. Sci. Eng. (2007).

Khan, Z. H., Khan, W. A., N-transform properties and applications NUST J. Eng. Sci. 1 (1), (2008), 127–133.

Bhalekar, S., Daftardar-Gejji, V., Solving evolution equations using a new iterative method, Numer., Methods Partial Differential Equ. 26 (4), (2010), 906–916.

Jafari, H., Nazari, M., Baleanu, D., Khalique, C. M., A new approach for solving a system of fractional partial differential equations, Com put. Math. Appl. 66, (2013), 838–843.

Wang, S. Q., Yang, Y. J., Jassim, H. K., Local Fractional Function Decomposition Method for Solving Inhomogeneous Wave Equations with Local Fractional Derivative, Abstract and Applied Analysis, 2014, (2014), 1–7.

Yan, S. P., Jafari, H., Jassim, H. K., Local Fractional Adomian Decomposition and Function Decomposition Methods for Solving Laplace Equation within Local Fractional Operators, Advances in Mathematical Physics, 2014, (2014), 1–7.

Jassim, H. K., Unl¨u, C., Moshokoa, S. P., Khalique, C. M., Local Fractional Laplace Variational Iteration Method for Solving Diffusion and Wave Equations on Cantor Sets within Local Fractional Operators, Mathematical Problems in Engineering, 2015, (2015), 1–9.

Fan, Z. P., Jassim, H. K., Rainna, R. K., Yang, X. J., Adomian Decomposition Method for Three Dimensional Diffusion Model in Fractal Heat Transfer Involving Local Fractional Derivatives, Thermal Science, 19 (2015) S137–S141.

Jassim, H. K., New Approaches for Solving Fokker Planck Equation on Cantor Sets within Local Fractional Operators, Journal of Mathematics, 2015, (2015), 1–8.

Jafari, H., Jassim, H. K., Tchier, F., Baleanu, D., On the Approximate Solutions of Local Fractional Differential Equations with Local Fractional Operator, Entropy, 18, (2016), 1–12.

Baleanu, D., Jassim, H. K., Approximate Analytical Solutions of Goursat Problem within Local Fractional Operators, Journal of Nonlinear Science and Applications, 9, (2016), 4829–4837.

Jassim, H. K., The Approximate Solutions of Three-Dimensional Diffusion and Wave Equations within Local Fractional Derivative Operator, Abstract and Applied Analysis, 2016, (2016), 1–5: ID 2913539.

Baleanu, D., Jassim, H. K., Khan, H., A Modification Fractional Variational Iteration Method for solving Nonlinear Gas Dynamic and Coupled KdV Equations Involving Local Fractional Operators, Thermal Science, 22, (2018), S165–S175.

Jafari, H., Jassim, H. K., Vahidi, J., Reduced Differential Transform and Variational Iteration Methods for 3D Diffusion Model in Fractal Heat Transfer within Local Fractional Operators, Thermal Science, 22, (2018), S301–S307.

Jassim, H. K., Vahidi, J., Ariyan, V. M., Solving Laplace Equation within Local Fractional Operators by Using Local Fractional Differential Transform and Laplace Variational Iteration Methods, Nonlinear Dynamics and Systems Theory, 20(4), (2020), 388–396.

Eaued, H. A., Jassim, H. K., Mohammed, M. G., A Novel Method for the Analytical Solution of Partial Differential Equations Arising in Mathematical Physics, IOP Conf. Series: Materials Science and Engineering, 928 (042037), (2020), 1–16.

Jassim, H. K., Shareef, M. A., On approximate solutions for fractionalsystem of differential equations with CaputoFabrizio fractional operator, Journal of Mathematics and Computer science, 23, (2021), 58–66.

Jassim, H. K., Khafif, S. A., SVIM for solving Burger’s and coupled Burger’s equations of fractional order, Progress in Fractional Differentiation and Applications, 7(1), (2021), 1–6.

Jassim, H. K., Mohammed, M. G., Natural homotopy perturbation method for solving nonlinear fractional gas dynamics equations, International Journal of Nonlinear Analysis and Applications, 12(1), (2021), 37–44.

Mohammed, M. G., Jassim, H. K., Numerical simulation of arterial pulse propagation using autonomous models, International Journal of Nonlinear Analysis and Applications, 12(1), (2021), 841–849.

Mohsin, N. H., Jassim, H. K., Azeez, A. D., A New Analytical Method for Solving Non-linear Burger’s and Coupled Burger’s Equations, Materials Today: Proceedings, (2021). https://doi.org/10.1016/j.matpr.2021.07.194.

Jassim, H. K., A new approach to find approximate solutions of Burger’s and coupled Burger’s equations of fractional order, TWMS Journal of Applied and Engineering Mathematics, 11(2), (2021), 415–423.

Alzaki, L. K., Jassim, H. K., The approximate analytical solutions of nonlinear fractional ordinary differential equations, International Journal of Nonlinear Analysis and Applications, 12(2), (2021), 527–535.

Kumar, D., Yadav, A. S., Kumar, P., Kumar, P., Singh, S. K., Singh, U., Transmuted inverse lomax distribution and its properties, Int. J. Agricult. Stat. Sci. 17(1), (2021), 1–8.

Bhat, S., Munoli, S. B., Gani, S. R., A control theory based analysis of repairable system, Int. J. Agricult. Stat. Sci. 17 (Suppl 1), (2021), 957–965.

Al-Saadony, M. F., Mohammed, B. K., Dikheel, T. R., Non-bayesian and bayesian methods to estimate fractional AR(1), Int. J. Agricult. Stat. Sci. 17 (Suppl 1), (2021), 993–1002.

Alzaki, L. K., Jassim, H. K., Time-Fractional Differential Equations with an Approximate Solution, J. Niger. Soc. Phys. Sci., 4, (2022), 818.

Downloads

Published

2023-09-17

How to Cite

Athmar Razaaq Saeid, & Lamees K. Alzaki. (2023). Fractional differential equations with an approximate solution using the natural variation iteration method. Results in Nonlinear Analysis, 6(3), 107–120. Retrieved from https://nonlinear-analysis.com/index.php/pub/article/view/316