Hostname: page-component-7b7567c8c-wxvwp Total loading time: 0 Render date: 2026-11-15T06:06:37.673Z Has data issue: false hasContentIssue false

An Energy-Preserving Wavelet Collocation Method for General Multi-Symplectic Formulations of Hamiltonian PDEs

Published online by Cambridge University Press:  02 November 2016

Yuezheng Gong*
Affiliation:
Jiangsu Key Laboratory of NSLSCS, School of Mathematical Sciences, Nanjing Normal University, Nanjing 210023, P.R. China
Yushun Wang*
Affiliation:
Jiangsu Key Laboratory of NSLSCS, School of Mathematical Sciences, Nanjing Normal University, Nanjing 210023, P.R. China
*
*Corresponding author. Email addresses:gyz8814@163.com (Y. Gong), wangyushun@njnu.edu.cn (Y.Wang)
*Corresponding author. Email addresses:gyz8814@163.com (Y. Gong), wangyushun@njnu.edu.cn (Y.Wang)

Abstract

Core share and HTML view are not available for this content. However, as you have access to this content, a full PDF is available via the 'Save PDF' action button.

In this paper, we develop a novel energy-preserving wavelet collocation method for solving general multi-symplectic formulations of Hamiltonian PDEs. Based on the autocorrelation functions of Daubechies compactly supported scaling functions, the wavelet collocation method is conducted for spatial discretization. The obtained semi-discrete system is shown to be a finite-dimensional Hamiltonian system, which has an energy conservation law. Then, the average vector field method is used for time integration, which leads to an energy-preserving method for multi-symplectic Hamiltonian PDEs. The proposed method is illustrated by the nonlinear Schrödinger equation and the Camassa-Holm equation. Since differentiation matrix obtained by the wavelet collocation method is a cyclic matrix, we can apply Fast Fourier transform to solve equations in numerical calculation. Numerical experiments show the high accuracy, effectiveness and conservation properties of the proposed method.

Information

Type
Research Article
Copyright
Copyright © Global-Science Press 2016