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Structure-Preserving Algorithm and Its Error Estimate for the Relativistic Charged-Particle Dynamics Under the Strong Magnetic Field

  • Ruili Zhang
  • , Tong Liu
  • , Bin Wang
  • , Jian Liu
  • , Yifa Tang
  • Beijing Jiaotong University
  • Shandong University
  • CAS - Academy of Mathematics and System Sciences

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

This paper investigates the numerical algorithm and its error estimates for the dynamics of relativistic charged particles under a strong maximal ordering scaling magnetic field. To maintain the fundamental principles of relativistic dynamics, including energy conservation, volume preservation, and the Lorentz invariant property, we construct a structure-preserving algorithm using the splitting scheme. This algorithm ensures the preservation of volume, energy, and the Lorentz invariant property (VELPA) exactly. Specifically, we establish an uniform and optimal error bound in both 4-position and 4-velocity for VELPA. Numerical experiments are also presented to demonstrate the advantages of VELPA in both uniform error estimate and conservation of energy, compared to the implicit Euler method and traditional energy-preserving AVF method.

Original languageEnglish
Article number70
JournalJournal of Scientific Computing
Volume100
Issue number3
DOIs
StatePublished - Sep 2024

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Keywords

  • Error estimate
  • Relativistic charged-particle dynamics
  • Splitting scheme
  • Strong magnetic field
  • Structure-preserving algorithm

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