Universal variational functionals of electron densities, first-order density matrices, and natural spin-orbitals and solution of the v-representability problem
AUTOR(ES)
Levy, Mel
RESUMO
Universal variational functionals of densities, first-order density matrices, and natural spin-orbitals are explicitly displayed for variational calculations of ground states of interacting electrons in atoms, molecules, and solids. In all cases, the functionals search for constrained minima. In particular, following Percus [Formula: see text] is identified as the universal functional of Hohenberg and Kohn for the sum of the kinetic and electron—electron repulsion energies of an N-representable trial electron density ρ. Q[ρ] searches all antisymmetric wavefunctions Ψρ which yield the fixed. ρ. Q[ρ] then delivers that expectation value which is a minimum. Similarly, [Formula: see text] is shown to be the universal functional for the electron—electron repulsion energy of an N-representable trial first-order density matrix γ, where the actual external potential may be nonlocal as well as local. These universal functions do not require that a trial function for a variational calculation be associated with a ground state of some external potential. Thus, the v-representability problem, which is especially severe for trial first-order density matrices, has been solved. Universal variational functionals in Hartree—Fock and other restricted wavefunction theories are also presented. Finally, natural spin-orbital functional theory is compared with traditional orbital formulations in density functional theory.
ACESSO AO ARTIGO
http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=411802Documentos Relacionados
- Appropriate constraints for variational optimization of electronic density matrices and electron densities
- Higher-order thalamic relays burst more than first-order relays
- First-order analysis of optical flow in monkey brain.
- Estimating genomic coexpression networks using first-order conditional independence
- COMPLEXITY OF FIRST-ORDER METHODS FOR DIFFERENTIABLE CONVEX OPTIMIZATION