In this project, we propose to use a sparse grid method for the direct discretization of Schrödinger's equation. The conventional sparse grid technique allows to reduce the complexity of a d-dimensional problem from to , provided that certain smoothness assumptions are fulfilled. It uses a multi-level basis to represent one-particle states and employs a certain determinant-product approach to represent many-particle states, which takes anti-symmetry (Pauli principle) into account. A certain truncation of the corresponding multi-level series expansion directly results in a cost-optimal discretization of the total electronic space. Here, a dimension-adaptive procedure allows to detect correlations between one-particle states. This new approach gives the perspective to reduce the computational complexity of a -electron problem to that of a one-electron problem.
For different choices of multi-level bases (real space, Fourier space) for the one-particle state, we will implement the resulting dimension-adaptive sparse grid approaches and compare their properties for Schrödinger's equation. Furthermore, this code will later be parallelized and implemented on distributed memory processors.
[1] | J. Garcke and M. Griebel. On the computation of the eigenproblems of hydrogen and helium in strong magnetic and electric fields with the sparse grid combination technique. Journal of Computational Physics, 165(2):694-716, 2000. also as SFB 256 Preprint 670, Institut für Angewandte Mathematik, Universität Bonn, 2000. |
[2] | J. Garcke. Berechnung von Eigenwerten der stationären Schrödingergleichung mit der Kombinationstechnik Diplomarbeit, Institut für Angewandte Mathematik, Universität Bonn, 1998. |