Inverse scattering transform for continuous and discrete space-time-shifted integrable equations

IF 2.6 2区 数学 Q1 MATHEMATICS, APPLIED Studies in Applied Mathematics Pub Date : 2024-09-17 DOI:10.1111/sapm.12764
Mark J. Ablowitz, Ziad H. Musslimani, Nicholas J. Ossi
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Abstract

Nonlocal integrable partial differential equations possessing a spatial or temporal reflection have constituted an active research area for the past decade. Recently, more general classes of these nonlocal equations have been proposed, wherein the nonlocality appears as a combination of a shift (by a real or a complex parameter) and a reflection. This new shifting parameter manifests itself in the inverse scattering transform (IST) as an additional phase factor in an analogous way to the classical Fourier transform. In this paper, the IST is analyzed in detail for several examples of such systems. Particularly, time, space, and space-time-shifted nonlinear Schrödinger (NLS) and space-time-shifted modified Korteweg-de Vries equations are studied. Additionally, the semidiscrete IST is developed for the time, space, and space-time-shifted variants of the Ablowitz–Ladik integrable discretization of the NLS. One-soliton solutions are constructed for all continuous and discrete cases.

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连续和离散时移可积分方程的反散射变换
过去十年来,具有空间或时间反射的非局部可积分偏微分方程一直是一个活跃的研究领域。最近,有人提出了这些非局部方程的更一般类别,其中的非局部性表现为移动(通过实数或复数参数)和反射的组合。这种新的移动参数在反向散射变换(IST)中表现为一个额外的相位因子,与经典的傅立叶变换类似。本文针对此类系统的几个实例详细分析了 IST。特别是研究了时间、空间和时空偏移非线性薛定谔方程(NLS)以及时空偏移修正 Korteweg-de Vries 方程。此外,还针对 NLS 的 Ablowitz-Ladik 可积分离散化的时间、空间和时空偏移变体,开发了半离散 IST。构建了所有连续和离散情况下的单孑子解。
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来源期刊
Studies in Applied Mathematics
Studies in Applied Mathematics 数学-应用数学
CiteScore
4.30
自引率
3.70%
发文量
66
审稿时长
>12 weeks
期刊介绍: Studies in Applied Mathematics explores the interplay between mathematics and the applied disciplines. It publishes papers that advance the understanding of physical processes, or develop new mathematical techniques applicable to physical and real-world problems. Its main themes include (but are not limited to) nonlinear phenomena, mathematical modeling, integrable systems, asymptotic analysis, inverse problems, numerical analysis, dynamical systems, scientific computing and applications to areas such as fluid mechanics, mathematical biology, and optics.
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