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We consider a nonlinear dispersive equation with a quasilinear quadratic term. We establish two results. First, we show that solutions to this equation with initial data of order $\mathcal{O}(\varepsilon)$ in Sobolev norms exist for a time…

Analysis of PDEs · Mathematics 2017-12-20 Wolf-Patrick Düll , Max Heß

We introduce a class of symplectic resonance based schemes for Schr\"odinger's equation in dimension one, building on the work in [1] wherein resonance based numerical schemes were developed in the context of dispersive PDE driven by time…

Analysis of PDEs · Mathematics 2026-04-08 Jacob Armstrong-Goodall , Yvain Bruned

Asymptotic reductions of a defocusing nonlocal nonlinear Schr\"{o}dinger model in $(3+1)$-dimensions, in both Cartesian and cylindrical geometry, are presented. First, at an intermediate stage, a Boussinesq equation is derived, and then its…

Pattern Formation and Solitons · Physics 2016-05-04 Theodoros P. Horikis , Dimitrios J. Frantzeskakis

In the paper possible local and nonlocal reductions of the Ablowitz-Kaup-Newell-Suger (AKNS) hierarchy are collected, including the Korteweg-de Vries (KdV) hierarchy, modified KdV hierarchy and their nonlocal versions, nonlinear…

Exactly Solvable and Integrable Systems · Physics 2017-11-15 Kui Chen , Xiao Deng , Senyue Lou , Da-jun Zhang

We consider the cubic nonlinear Schr\"odinger equation (NLS) in any spatial dimension, which is a well-known example of an infinite-dimensional Hamiltonian system. Inspired by the knowledge that the NLS is an effective equation for a system…

Mathematical Physics · Physics 2019-08-13 Dana Mendelson , Andrea R. Nahmod , Nataša Pavlović , Matthew Rosenzweig , Gigliola Staffilani

In this paper, we review several recent results concerning well-posedness of the one-dimensional, cubic Nonlinear Schrodinger equation (NLS) on the real line R and on the circle T for solutions below the L^2-threshold. We point out common…

Analysis of PDEs · Mathematics 2015-01-14 Tadahiro Oh , Catherine Sulem

This paper focuses on the construction and analysis of explicit numerical methods of high dimensional stochastic nonlinear Schrodinger equations (SNLSEs). We first prove that the classical explicit numerical methods are unstable and suffer…

Numerical Analysis · Mathematics 2021-12-21 Jianbo Cui

We propose a priori estimates for a weak solution to the derivative nonlinear Schr\"odinger equation (DNLS) on torus with small $L^2$-norm datum in low regularity Sobolev spaces. These estimates allow us to show the existence of solutions…

Analysis of PDEs · Mathematics 2015-08-14 Hideo Takaoka

We study the cubic-quartic nonlinear Schr\"odinger equation (NLS) in two and three spatial dimension. This equation arises in the mean-field description of Bose-Einstein condensates with Lee-Huang-Yang correction. We first prove global…

Analysis of PDEs · Mathematics 2021-12-20 Anudeep K. Arora , Christof Sparber

The nonlinear Schr\"odinger equation (NLSE) is a rich and versatile model, which in one spatial dimension has stationary solutions similar to those of the linear Schr\"odinger equation as well as more exotic solutions such as solitary waves…

Quantum Gases · Physics 2024-07-08 David B. Reinhardt , Dean Lee , Wolfgang P. Schleich , Matthias Meister

We consider non-gauge-invariant cubic nonlinear Schr\"odinger equations in one space dimension. We show that initial data of size $\varepsilon$ in a weighted Sobolev space lead to solutions with sharp $L_x^\infty$ decay up to time…

Analysis of PDEs · Mathematics 2017-07-19 Jason Murphy , Fabio Pusateri

We study the well posedness of the nonlinear Schr\"odinger (NLS) equation with a point interaction and power nonlinearity in dimension two and three. Behind the autonomous interest of the problem, this is a model of the evolution of so…

Analysis of PDEs · Mathematics 2021-01-05 Claudio Cacciapuoti , Domenico Finco , Diego Noja

We consider a stochastic nonlinear Schr\"odinger equation with multiplicative noise in an abstract framework that covers subcritical focusing and defocusing stochastic NLS in $H^1$ on compact manifolds and bounded domains. We construct a…

Probability · Mathematics 2018-10-17 Zdzislaw Brzezniak , Fabian Hornung , Lutz Weis

The nonlinear Schr\"odinger equation (NLSE) models the slowly varying envelope dynamics of a weakly nonlinear quasi-monochromatic wave packet in dispersive media. In the context of Bose-Einstein condensate (BEC), it is often referred to as…

Pattern Formation and Solitons · Physics 2019-12-24 N. Karjanto

Integrable and nonintegrable discrete nonlinear Schr\"odinger equations (NLS) are significant models to describe many phenomena in physics. Recently, Ablowitz and Musslimani introduced a class of reverse space, reverse time and reverse…

Pattern Formation and Solitons · Physics 2019-08-14 Jia-Liang Ji , Zong-Wei Xu , Zuo-Nong Zhu

In this article, we consider the kinetic derivative nonlinear Schr\"odinger equation (KDNLS), which is a one-dimensional nonlinear Schr\"odinger equation with a cubic derivative nonlinear term containing the Hilbert transformation. For the…

Analysis of PDEs · Mathematics 2023-03-31 Nobu Kishimoto , Yoshio Tsutsumi

In this paper the one-dimensional nonparaxial nonlinear Schr\"odinger equation is considered. This was proposed as an alternative to the classical nonlinear Schr\"odinger equation in those situations where the assumption of paraxiality may…

Analysis of PDEs · Mathematics 2019-02-25 B. Cano , A. Durán

We consider the stochastic nonlinear Schr\"odinger equations (SNLS) posed on $d$-dimensional tori with either additive or multiplicative stochastic forcing. In particular, for the one-dimensional cubic SNLS, we prove global well-posedness…

Analysis of PDEs · Mathematics 2018-03-08 Kelvin Cheung , Razvan Mosincat

The Gross-Pitaevskii equation, or more generally the nonlinear Schr\"odinger equation, models the Bose-Einstein condensates in a macroscopic gaseous superfluid wave-matter state in ultra-cold temperature. We provide analytical study of the…

Analysis of PDEs · Mathematics 2019-08-07 Luigi Galati , Shijun Zheng

We develop theory for nonlinear dimensionality reduction (NLDR). A number of NLDR methods have been developed, but there is limited understanding of how these methods work and the relationships between them. There is limited basis for using…

Machine Learning · Statistics 2018-03-08 Daniel Ting , Michael I. Jordan