Krylov subspace methods for the Dirac equation. The Lanczos algorithm is evaluated for solving the time-independent as well as the time-dependent Dirac equation with arbitrary electromagnetic fields. We demonstrate that the Lanczos algorithm can yield very precise eigenenergies and allows very precise time propagation of relativistic wave packets. The unboundedness of the Dirac Hamiltonian does not hinder the applicability of the Lanczos algorithm. As the Lanczos algorithm requires only matrix-vector products and inner products, which both can be efficiently parallelized, it is an ideal method for large-scale calculations. The excellent parallelization capabilities are demonstrated by a parallel implementation of the Dirac Lanczos propagator utilizing the Message Passing Interface standard.
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References in zbMATH (referenced in 4 articles , 1 standard article )
Showing results 1 to 4 of 4.
- Antoine, Xavier; Fillion-Gourdeau, François; Lorin, Emmanuel; MacLean, Steve: Pseudospectral computational methods for the time-dependent Dirac equation in static curved spaces (2020)
- Antoine, Xavier; Lorin, Emmanuel: A simple pseudospectral method for the computation of the time-dependent Dirac equation with perfectly matched layers (2019)
- Fillion-Gourdeau, F.; Lorin, E.; Bandrauk, A. D.: Galerkin method for unsplit 3-D Dirac equation using atomically/kinetically balanced B-spline basis (2016)
- Beerwerth, Randolf; Bauke, Heiko: Krylov subspace methods for the Dirac equation (2015)