Explicit symplectic algorithms based on generating functions for charged particle dynamics

Ruili Zhang, Hong Qin, Yifa Tang, Jian Liu, Yang He, Jianyuan Xiao

Research output: Contribution to journalArticlepeer-review

49 Scopus citations

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.

Original languageEnglish (US)
Article number013205
JournalPhysical Review E
Volume94
Issue number1
DOIs
StatePublished - Jul 21 2016

All Science Journal Classification (ASJC) codes

  • Statistical and Nonlinear Physics
  • Statistics and Probability
  • Condensed Matter Physics

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