Structure-Preserving Wavelet Algorithms for the Nonlinear Dirac Model

Structure-Preserving Wavelet Algorithms for the Nonlinear Dirac Model

Year:    2017

Author:    Xu Qian, Hao Fu, Songhe Song

Advances in Applied Mathematics and Mechanics, Vol. 9 (2017), Iss. 4 : pp. 964–989

Abstract

The nonlinear Dirac equation is an important model in quantum physics with a set of conservation laws and a multi-symplectic formulation. In this paper, we propose energy-preserving and multi-symplectic wavelet algorithms for this model. Meanwhile, we evidently improve the efficiency of these algorithms in computations via splitting technique and explicit strategy. Numerical experiments are conducted during long-term simulations to show the excellent performances of the proposed algorithms and verify our theoretical analysis.

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Journal Article Details

Publisher Name:    Global Science Press

Language:    English

DOI:    https://doi.org/10.4208/aamm.2016.m1463

Advances in Applied Mathematics and Mechanics, Vol. 9 (2017), Iss. 4 : pp. 964–989

Published online:    2017-01

AMS Subject Headings:    Global Science Press

Copyright:    COPYRIGHT: © Global Science Press

Pages:    26

Keywords:    Structure-preserving wavelet collocation conservation laws nonlinear Dirac equation.

Author Details

Xu Qian

Hao Fu

Songhe Song

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