Inverse scattering method for an integrable system of derivative nonlinear Schrödinger equations

We present a solution method for the integrable system (derivative nonlinear Schrödinger II system) or the Chen--Lee--Liu system. This is done by presenting a solution technique for the inverse scattering problem for the corresponding linear system of ordinary differential equations with energy-dependent potentials. The relevant inverse scattering problem is solved by establishing a system of linear integral equations, which we refer to as the Marchenko system of linear integral equations. In solving the inverse scattering problem we use the input data set consisting of a transmission coefficient, a reflection coefficient, and the bound-state information presented in the form of a pair of matrix triplets. Using our data set as input to the Marchenko system, we recover the potentials from the solution to the Marchenko system. By using the time-evolved input data set, we recover the time-evolved potentials, where those potentials form a solution to the integrable DNLS II system.

Publication Details

Journal
ArXiv.org
Published
2025-07-23
Primary Topic
Nonlinear Waves and Solitons
Type
article
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article

Inverse scattering method for an integrable system of derivative nonlinear Schrödinger equations

ArXiv.org
Nonlinear Waves and Solitons
article

Inverse scattering method for an integrable system of derivative nonlinear Schrödinger equations

article en

Abstract

We present a solution method for the integrable system (derivative nonlinear Schrödinger II system) or the Chen--Lee--Liu system. This is done by presenting a solution technique for the inverse scattering problem for the corresponding linear system of ordinary differential equations with energy-dependent potentials. The relevant inverse scattering problem is solved by establishing a system of linear integral equations, which we refer to as the Marchenko system of linear integral equations. In solving the inverse scattering problem we use the input data set consisting of a transmission coefficient, a reflection coefficient, and the bound-state information presented in the form of a pair of matrix triplets. Using our data set as input to the Marchenko system, we recover the potentials from the solution to the Marchenko system. By using the time-evolved input data set, we recover the time-evolved potentials, where those potentials form a solution to the integrable DNLS II system.

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