English

An efficient solution for Dirac equation in 3D lattice space with the conjugate gradient method

Nuclear Theory 2020-10-14 v1 Nuclear Experiment

Abstract

An efficient method, preconditioned conjugate gradient method with a filtering function (PCG-F), is proposed for solving iteratively the Dirac equation in 3D lattice space for nuclear systems. The filtering function is adopted to avoid the variational collapsed problem and a momentum-dependent preconditioner is introduced to promote the efficiency of the iteration. The PCG-F method is demonstrated in solving the Dirac equation with given spherical and deformed Woods-Saxon potentials. The solutions given by the inverse Hamiltonian method in 3D lattice space and the shooting method in radial coordinate space are reproduced with a high accuracy. In comparison with the existing inverse Hamiltonian method, the present PCG-F method is much faster in the convergence of the iteration, in particular for deformed potentials. It may also provide a promising way to solve the relativistic Hartree-Bogoliubov equation iteratively in the future.

Keywords

Cite

@article{arxiv.2007.09414,
  title  = {An efficient solution for Dirac equation in 3D lattice space with the conjugate gradient method},
  author = {B. Li and Z. X. Ren and P. W. Zhao},
  journal= {arXiv preprint arXiv:2007.09414},
  year   = {2020}
}

Comments

18 pages, 7 figures

R2 v1 2026-06-23T17:12:57.511Z