TY - JOUR
T1 - Structure-Preserving Algorithm and Its Error Estimate for the Relativistic Charged-Particle Dynamics Under the Strong Magnetic Field
AU - Zhang, Ruili
AU - Liu, Tong
AU - Wang, Bin
AU - Liu, Jian
AU - Tang, Yifa
N1 - Publisher Copyright:
© The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2024.
PY - 2024/9
Y1 - 2024/9
N2 - 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.
AB - 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.
KW - Error estimate
KW - Relativistic charged-particle dynamics
KW - Splitting scheme
KW - Strong magnetic field
KW - Structure-preserving algorithm
UR - https://www.scopus.com/pages/publications/85199182691
U2 - 10.1007/s10915-024-02618-x
DO - 10.1007/s10915-024-02618-x
M3 - 文章
AN - SCOPUS:85199182691
SN - 0885-7474
VL - 100
JO - Journal of Scientific Computing
JF - Journal of Scientific Computing
IS - 3
M1 - 70
ER -