Solving cubic and coupled nonlinear Schrödinger equations using the homotopy analysis method
International Journal of Applied Mathematics and Mechanics • 2011
Publication Information
Authors
Hany N. Hassan; Magdy A. El-Tawil
Keywords
Cubic nonlinear Schrödinger, Coupled nonlinear Schrödinger equations,
Homotopy analysis method, Convergence-controller parameter
Journal
International Journal of Applied Mathematics and Mechanics
Publisher
Not Available
Volume
7
Issue
8
Pages
41-64
publication.type
International
Paper Link
Not Available
Supplementary Materials
Not Available
Abstract
The homotopy analysis method (HAM) is applied to solve the nonlinear Schrödinger (NLS)
equations. In this paper, we will reduce the NLS equation to a system of two nonlinear
equations contain the real and imaginary parts of the solution. The method provides the
solution in the form of a rapidly convergent series with easily computable components using
symbolic computation software such as Mathematica. The scheme shows importance of
choice of convergence-control parameter ħ to guarantee the convergence of the solutions of
nonlinear differential equations. This scheme is tested on two cases study, the cubic nonlinear
Schrödinger (CNLS) equation and a system of coupled nonlinear Schrödinger equations. The
results demonstrate reliability and efficiency of the algorithm developed.
equations. In this paper, we will reduce the NLS equation to a system of two nonlinear
equations contain the real and imaginary parts of the solution. The method provides the
solution in the form of a rapidly convergent series with easily computable components using
symbolic computation software such as Mathematica. The scheme shows importance of
choice of convergence-control parameter ħ to guarantee the convergence of the solutions of
nonlinear differential equations. This scheme is tested on two cases study, the cubic nonlinear
Schrödinger (CNLS) equation and a system of coupled nonlinear Schrödinger equations. The
results demonstrate reliability and efficiency of the algorithm developed.
Staff Members - Benha University