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