Solutions of matrix NLS systems and their discretisations: A unified treatment
Aristophanes Dimakis, Folkert Muller-Hoissen

TL;DR
This paper presents a unified algebraic approach to solving continuous, semi-discrete, and fully discrete matrix NLS systems, deriving exact solutions and exploring their properties using a bidifferential graded algebra framework.
Contribution
It introduces a universal algebraic framework for matrix NLS systems and derives new solutions, including those from a complex conjugation reduction applicable across all discretization levels.
Findings
Unified treatment of matrix NLS systems via algebraic methods
Explicit matrix soliton solutions with detailed properties
New reduction approach applicable to all discretization types
Abstract
Using a bidifferential graded algebra approach to integrable partial differential or difference equations, a unified treatment of continuous, semi-discrete (Ablowitz-Ladik) and fully discrete matrix NLS systems is presented. These equations originate from a universal equation within this framework, by specifying a representation of the bidifferential graded algebra and imposing a reduction. By application of a general result, corresponding families of exact solutions are obtained that in particular comprise the matrix soliton solutions in the focusing NLS case. The solutions are parametrised in terms of constant matrix data subject to a Sylvester equation (which previously appeared as a rank condition in the integrable systems literature). These data exhibit a certain redundancy, which we diminish to a large extent. More precisely, we first consider more general AKNS-type systems from…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsNonlinear Waves and Solitons · Nonlinear Photonic Systems · Numerical methods for differential equations
