On the analysis of the discretized Kohn-Sham density functional theory

Xin Liu, Zaiwen Wen, Xiao Wang, Michael Ulbrich, Yaxiang Yuan

Research output: Contribution to journalArticlepeer-review

29 Scopus citations

Abstract

In this paper, we study a few theoretical issues in the discretized Kohn-Sham (KS) density functional theory. The equivalence between either a local or global minimizer of the KS total energy minimization problem and the solution to the KS equation is established under certain assumptions. The nonzero charge densities of a strong local minimizer are shown to be bounded from below by a positive constant uniformly. We analyze the self-consistent field (SCF) iteration by formulating the KS equation as a fixed point map with respect to the potential. The Jacobian of these fixed point maps is derived explicitly. Both global and local convergence of the simple mixing scheme can be established if the gap between the occupied states and unoccupied states is sufficiently large. This assumption can be relaxed in certain cases. Numerical experiments based on the MATLAB toolbox KSSOLV show that it holds on a few simple examples. Although our assumption on the gap is very stringent, our analysis is still valuable for a better understanding of the KS minimization problem, the KS equation, and the SCF iteration.

Original languageEnglish
Pages (from-to)1758-1785
Number of pages28
JournalSIAM Journal on Numerical Analysis
Volume53
Issue number4
DOIs
StatePublished - 2015

Keywords

  • Kohn-Sham equation
  • Kohn-Sham total energy minimization
  • Nonlinear eigenvalue problem
  • Self-consistent field iteration

Fingerprint

Dive into the research topics of 'On the analysis of the discretized Kohn-Sham density functional theory'. Together they form a unique fingerprint.

Cite this