Higher order exponential splittings for the fast Non-linear Fourier Transform of the Korteweg-De Vries equation

Conference paper (2018)

Authors

Peter J. Prins Team Sander Wahls - Mechanical, Maritime and Materials Engineering
S. Wahls Team Sander Wahls - Mechanical, Maritime and Materials Engineering
Research Group
Team Sander Wahls (Mechanical, Maritime and Materials Engineering) (TU Delft)
Copyright: © 2018 Peter J. Prins, S. Wahls
DOI: https://doi.org/10.1109/ICASSP.2018.8461708
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Published Date

2018

Language

English

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Faculty

Mechanical, Maritime and Materials Engineering

Department

Delft Center for Systems and Control

Research Group

Team Sander Wahls

Abstract

Non-linear Fourier Transforms (NFTs) enable the analysis of signals governed by certain non-linear evolution equations in a way that is analogous to how the conventional Fourier transform is used to analyse linear wave equations. Recently, fast numerical algorithms have been derived for the numerical computation of certain NFTs. In this paper, we are primarily concerned with fast NFTs with respect to the Korteweg-de Vries equation (KdV), which describes e.g. the evolution of waves in shallow water. We find that in the KdV case, the fast NFT can be more sensitive to numerical errors caused by an exponential splitting. We present higher order splittings that reduce these errors and are compatible with the fast NFT. Furthermore we demonstrate for the NSE case that using these splittings can make the accuracy of the fast NFT match that of the conventional NFT.