A Haar-type Approximation and a New Numerical Schema for the Korteweg-de Vries Equation
Jason Baggett, Odile Bastille, Alexei Rybkin

TL;DR
This paper introduces a novel numerical method for solving the Korteweg-de Vries equation over large times, utilizing inverse scattering and wavelet-based approximations to improve resolution and efficiency.
Contribution
The authors develop a new recursive algorithm for the reflection coefficient using Haar wavelets, enhancing the numerical solution of the KdV equation.
Findings
High-resolution KdV solver achieved
Effective use of Haar wavelets for approximation
Potential for improved algorithmic efficiency
Abstract
We discuss a new numerical schema for solving the initial value problem for the Korteweg-de Vries equation for large times. Our approach is based upon the Inverse Scattering Transform that reduces the problem to calculating the reflection coefficient of the corresponding Schr\"odinger equation. Using a step-like approximation of the initial profile and a fragmentation principle for the scattering data, we obtain an explicit recursion formula for computing the reflection coefficient, yielding a high resolution KdV solver. We also discuss some generalizations of this algorithm and how it might be improved by using Haar and other wavelets.
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
TopicsSeismic Imaging and Inversion Techniques · Advanced Mathematical Physics Problems · Nonlinear Waves and Solitons
