Explicit symplectic algorithms based on generating functions for charged particle dynamics

Ruili Zhang, Hong Qin, Yifa Tang, Jian Liu, Yang He, and Jianyuan Xiao
Phys. Rev. E 94, 013205 – Published 21 July 2016

Abstract

Dynamics of a charged particle in the canonical coordinates is a Hamiltonian system, and the well-known symplectic algorithm has been regarded as the de facto method for numerical integration of Hamiltonian systems due to its long-term accuracy and fidelity. For long-term simulations with high efficiency, explicit symplectic algorithms are desirable. However, it is generally believed that explicit symplectic algorithms are only available for sum-separable Hamiltonians, and this restriction limits the application of explicit symplectic algorithms to charged particle dynamics. To overcome this difficulty, we combine the familiar sum-split method and a generating function method to construct second- and third-order explicit symplectic algorithms for dynamics of charged particle. The generating function method is designed to generate explicit symplectic algorithms for product-separable Hamiltonian with form of H(x,p)=pif(x) or H(x,p)=xig(p). Applied to the simulations of charged particle dynamics, the explicit symplectic algorithms based on generating functions demonstrate superiorities in conservation and efficiency.

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  • Received 30 March 2016

DOI:https://doi.org/10.1103/PhysRevE.94.013205

©2016 American Physical Society

Physics Subject Headings (PhySH)

  1. Physical Systems
Plasma Physics

Authors & Affiliations

Ruili Zhang1,2, Hong Qin1,3,*, Yifa Tang4, Jian Liu1,2, Yang He1,2, and Jianyuan Xiao1,2

  • 1Department of Modern Physics and School of Nuclear Science and Technology, University of Science and Technology of China, Hefei, Anhui 230026, China
  • 2Key Laboratory of Geospace Environment, CAS, Hefei, Anhui 230026, China
  • 3Plasma Physics Laboratory, Princeton University, Princeton, New Jersey 08543, USA
  • 4LSEC, Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing 100190, China

  • *hongqin@ustc.edu.cn

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Issue

Vol. 94, Iss. 1 — July 2016

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