Phys. Rev. A 65, 062511 (2002) [14 pages]

Variational minimization of atomic and molecular ground-state energies via the two-particle reduced density matrix

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David A. Mazziotti *
Department of Chemistry, Princeton University, Princeton, New Jersey 08544

Received 13 February 2002; revised 22 March 2002; published 18 June 2002

Atomic and molecular ground-state energies are variationally determined by constraining the two-particle reduced density matrix (2-RDM) to satisfy positivity conditions. Because each positivity condition corresponds to correcting the ground-state energies for a class of Hamiltonians with two-particle interactions, these conditions collectively provide a new approach to many-body theory that, unlike perturbation theory, can capture significantly correlated phenomena including the multireference effects of potential-energy surfaces. The D, Q, and G conditions for the 2-RDM are extended through generalized lifting operators inspired from the formal solution of N-representability. These lifted conditions agree with the hierarchy of positivity conditions presented by Mazziotti and Erdahl [Phys. Rev. A 63, 042113 (2001)]. The connection between positivity and the formal solution explains how constraining higher RDMs to be positive semidefinite improves the N representability of the 2-RDM and suggests using pieces of higher positivity conditions that computationally scale like the D condition. With the D, Q, and G conditions as well as pieces of higher positivity the electronic energies for Be, LiH, H2O, and BH are computed through a primal-dual interior-point algorithm for positive semidefinite programming. The variational method produces potential-energy surfaces that are highly accurate even far from the equilibrium geometry where single-reference perturbation-based methods often fail to produce realistic energies.


©2002 The American Physical Society

URL: http://link.aps.org/abstract/PRA/v65/e062511
DOI: 10.1103/PhysRevA.65.062511
PACS: 31.25.Eb, 31.10.+z, 31.25.-v, 31.50.Bc

* Electronic address: damazz@princeton.edu

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