A structure-preserving algorithm for the fractional nonlinear Schr\"{o}dinger equation based on the SAV approach
Abstract
The main objective of this paper is to present an efficient structure-preserving scheme, which is based on the idea of the scalar auxiliary variable approach, for solving the space fractional nonlinear Schr\"{o}dinger equation. First, we reformulate the equation as a Hamiltonian system, and obtain a new equivalent system via introducing a scalar variable. Then, we construct a semi-discrete energy-preserving scheme by using the Fourier pseudo-spectral method to discretize the equivalent system in space direction. After that, applying the Crank-Nicolson method on the temporal direction gives a linear implicit scheme in the fully-discrete version. As expected, the proposed scheme can preserve the energy exactly and more efficient in the sense that only decoupled equations with constant coefficients need to be solved at each time step. Finally, numerical experiments are provided to demonstrate the effectiveness and conservation of the scheme.
Keywords
Cite
@article{arxiv.1911.07379,
title = {A structure-preserving algorithm for the fractional nonlinear Schr\"{o}dinger equation based on the SAV approach},
author = {Yayun Fu and Wenjun Cai and Yushun Wang},
journal= {arXiv preprint arXiv:1911.07379},
year = {2019}
}
Comments
24 pages,7 figures