4.6 Article

Superposition principle and composite solutions to coupled nonlinear Schrodinger equations

期刊

MATHEMATICAL METHODS IN THE APPLIED SCIENCES
卷 43, 期 17, 页码 10168-10189

出版社

WILEY
DOI: 10.1002/mma.6685

关键词

exact solutions; Manakov system; N-coupled nonlinear Schrodinger equations; superposition principle

资金

  1. UAE University [UAEU-UPAR(4) 2016, UAEU-UPAR(6) 2017]

向作者/读者索取更多资源

We show that the superposition principle applies to coupled nonlinear Schrodinger equations with cubic nonlinearity where exact solutions may be obtained as a linear combination of other exact solutions. This is possible due to the cancelation of cross terms in the nonlinear coupling. First, we show that acompositesolution, which is a linear combination of the two components of aseedsolution, is another solution to the same coupled nonlinear Schrodinger equation. Then, we show that a linear combination of two composite solutions is also a solution to the same equation. With emphasis on the case of Manakov system of two-coupled nonlinear Schrodinger equations, the superposition is shown to be equivalent to a rotation operator in a two-dimensional function space with components of the seed solution being its coordinates. Repeated application of the rotation operator, starting with a specific seed solution, generates a series of composite solutions, which may be represented by a generalized solution that defines a family of composite solutions. Applying the rotation operator to almost all known exact seed solutions of the Manakov system, we obtain for each seed solution the corresponding family of composite solutions. Composite solutions turn out, in general, to possess interesting features that do not exist in the seed solution. Using symmetry reductions, we show that the method applies also to systems ofN-coupled nonlinear Schrodinger equations. Specific examples for the three-coupled nonlinear Schrodinger equation are given.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.6
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据