journal article·2022-03-01Open access

Exact and many-body perturbation solutions of the Hubbard model applied to linear chains

Antoine Honet, Luc Henrard, Vincent Meunier

AIP Advances· Volume 12· Issue 3

Abstract

This study reports on the accuracy of the GW approximation for the treatment of the Hubbard model compared to exact diagonalization (ED) results. We consider not only global quantities, such as the total energy and the density of states, but also the spatial and spin symmetry of wavefunctions via the analysis of the local density of states. GW is part of the more general Green’s function approach used to develop many-body approximations. We show that, for small linear chains, the GW approximation corrects the mean-field (MF) approach by reducing the total energy and the magnetization obtained from the MF approximation. The GW energy gap is in better agreement with ED, especially in systems of an even number of atoms where, in contrast to the MF approximation, no plateau is observed below the artificial predicted phase transition. In terms of density of states, the GW approximation induces quasi-particles and side satellite peaks via a splitting process of MF peaks. At the same time, GW slightly modifies the localization (e.g., edges or center) of states. We also use the GW approximation results in the context of Löwdin’s symmetry dilemma and show that GW predicts an artificial paramagnetic–antiferromagnetic phase transition at a higher Hubbard parameter than MF does.
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Research context

OpenAlex topics: Physics of Superconductivity and Magnetism · Magnetic and transport properties of perovskites and related materials · Advanced Condensed Matter Physics

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Department of Physics and Namur Institute of Structured Materials, University of Namur 1 , Rue de Bruxelles 61, 5000 Namur, Belgium

Department of Physics, Applied Physics, and Astronomy, Rensselaer Polytechnic Institute 2 , Troy, New York 12180, USA

Funding

Fonds De La Recherche Scientifique-FNRS

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