English

Structure-preserving algorithms for multi-dimensional fractional Klein-Gordon-Schr\"{o}dinger equation

Numerical Analysis 2019-11-27 v2 Numerical Analysis

Abstract

This paper aims to construct structure-preserving numerical schemes for multi-dimensional space fractional Klein-Gordon-Schr\"{o}dinger equation, which are based on the newly developed partitioned averaged vector field methods. First, we derive an equivalent equation, and reformulate the equation as a canonical Hamiltonian system by virtue of the variational derivative of the functional with fractional Laplacian. Then, we develop a semi-discrete conservative scheme via using the Fourier pseudo-spectral method to discrete the equation in space direction. Further applying the partitioned averaged vector field methods on the temporal direction gives a class of fully-discrete schemes that can preserve the mass and energy exactly. Numerical examples are provided to confirm our theoretical analysis results at last.

Keywords

Cite

@article{arxiv.1911.10845,
  title  = {Structure-preserving algorithms for multi-dimensional fractional Klein-Gordon-Schr\"{o}dinger equation},
  author = {Yayun Fu Wenjun Cai and Yushun Wang},
  journal= {arXiv preprint arXiv:1911.10845},
  year   = {2019}
}

Comments

26 pages, 13 figures

R2 v1 2026-06-23T12:26:11.800Z