Energy-Preserving Parareal-RKN Algorithms for Hamiltonian Systems

Energy-Preserving Parareal-RKN Algorithms for Hamiltonian Systems

Year:    2024

Author:    Zhen Miao, Bin Wang, Yaolin Jiang

Numerical Mathematics: Theory, Methods and Applications, Vol. 17 (2024), Iss. 1 : pp. 121–144

Abstract

In this paper, we formulate and analyse a kind of parareal-RKN algorithms with energy conservation for Hamiltonian systems. The proposed algorithms are constructed by using the ideas of parareal methods, Runge-Kutta-Nyström (RKN) methods and projection methods. It is shown that the algorithms can exactly preserve the energy of Hamiltonian systems. Moreover, the convergence of the integrators is rigorously analysed. Three numerical experiments are carried out to support the theoretical results presented in this paper and show the numerical behaviour of the derived algorithms.

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Journal Article Details

Publisher Name:    Global Science Press

Language:    English

DOI:    https://doi.org/10.4208/nmtma.OA-2023-0081

Numerical Mathematics: Theory, Methods and Applications, Vol. 17 (2024), Iss. 1 : pp. 121–144

Published online:    2024-01

AMS Subject Headings:   

Copyright:    COPYRIGHT: © Global Science Press

Pages:    24

Keywords:    Parareal methods Runge-Kutta-Nyström methods Hamiltonian systems energy conservation.

Author Details

Zhen Miao

Bin Wang

Yaolin Jiang