Filtered finite difference methods for nonlinear Schrödinger equations in semiclassical scaling

Fuente: arXiv
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Auteurs principaux: Shi, Yanyan, Lubich, Christian
Format: Preprint
Publié: 2024
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author Shi, Yanyan
Lubich, Christian
author_facet Shi, Yanyan
Lubich, Christian
contents This paper introduces filtered finite difference methods for numerically solving a dispersive evolution equation with solutions that are highly oscillatory in both space and time. We consider a semiclassically scaled nonlinear Schrödinger equation with highly oscillatory initial data in the form of a modulated plane wave. The proposed methods do not need to resolve high-frequency oscillations in both space and time by prohibitively fine grids as would be required by standard finite difference methods. The approach taken here modifies traditional finite difference methods by incorporating appropriate filters. Specifically, we propose the filtered leapfrog and filtered Crank--Nicolson methods, both of which achieve second-order accuracy with time steps and mesh sizes that are not restricted in magnitude by the small semiclassical parameter. Furthermore, the filtered Crank--Nicolson method conserves both the discrete mass and a discrete energy. Numerical experiments illustrate the theoretical results.
format Preprint
id arxiv_https___arxiv_org_abs_2411_07855
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Filtered finite difference methods for nonlinear Schrödinger equations in semiclassical scaling
Shi, Yanyan
Lubich, Christian
Numerical Analysis
This paper introduces filtered finite difference methods for numerically solving a dispersive evolution equation with solutions that are highly oscillatory in both space and time. We consider a semiclassically scaled nonlinear Schrödinger equation with highly oscillatory initial data in the form of a modulated plane wave. The proposed methods do not need to resolve high-frequency oscillations in both space and time by prohibitively fine grids as would be required by standard finite difference methods. The approach taken here modifies traditional finite difference methods by incorporating appropriate filters. Specifically, we propose the filtered leapfrog and filtered Crank--Nicolson methods, both of which achieve second-order accuracy with time steps and mesh sizes that are not restricted in magnitude by the small semiclassical parameter. Furthermore, the filtered Crank--Nicolson method conserves both the discrete mass and a discrete energy. Numerical experiments illustrate the theoretical results.
title Filtered finite difference methods for nonlinear Schrödinger equations in semiclassical scaling
topic Numerical Analysis
url https://arxiv.org/abs/2411.07855