On the approximate solution of nonlinear time-fractional KdV equation via modified homotopy analysis Laplace transform method


Authors

Chong Li - School of Mines, Key Laboratory of Deep Coal Resource Mining of Ministry of Education, China University of Mining and Technology, Xuzhou 221116, China. Amit Kumar - Department of Mathematics, National Institute of Technology, Jamshedpur 831014, India. Sunil Kumar - Department of Mathematics, National Institute of Technology, Jamshedpur 831014, India. Xiao-Jun Yang - School of Mechanics and Civil Engineering, China University of Mining and Technology, Xuzhou 221116, China.


Abstract

The approximate solution of the time-fractional KdV equation (KdV) by using modified homotopy analysis Laplace transform method, which is a combined form of the Laplace transform and homotopy analysis methods, is investigated for the first time in this article. Comparison of series solutions between under a rapid convergence and the optimal values of convergence parameter \(\hbar\) is made. The results through the \(L_2\) and \(L_\infty\) error norms are also analyzed. The validity, exibility, and accuracy of the proposed method is conformed through the numerical computations as well as graphical presentations of the results.


Share and Cite

  • Share on Facebook
  • Share on Twitter
  • Share on LinkedIn
ISRP Style

Chong Li, Amit Kumar, Sunil Kumar, Xiao-Jun Yang, On the approximate solution of nonlinear time-fractional KdV equation via modified homotopy analysis Laplace transform method, Journal of Nonlinear Sciences and Applications, 9 (2016), no. 9, 5463--5470

AMA Style

Li Chong, Kumar Amit, Kumar Sunil, Yang Xiao-Jun, On the approximate solution of nonlinear time-fractional KdV equation via modified homotopy analysis Laplace transform method. J. Nonlinear Sci. Appl. (2016); 9(9):5463--5470

Chicago/Turabian Style

Li, Chong, Kumar, Amit, Kumar, Sunil, Yang, Xiao-Jun. "On the approximate solution of nonlinear time-fractional KdV equation via modified homotopy analysis Laplace transform method." Journal of Nonlinear Sciences and Applications, 9, no. 9 (2016): 5463--5470


Keywords


MSC


References