4.5 Article

The cumulant Green's functions method for the Hubbard model

期刊

JOURNAL OF PHYSICS-CONDENSED MATTER
卷 35, 期 24, 页码 -

出版社

IOP Publishing Ltd
DOI: 10.1088/1361-648X/acc628

关键词

Hubbard model; Green's functions; cumulant expansion; Mott insulator

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In this study, we employ the cumulant Green's functions method to analyze the single-band Hubbard model. By diagonalizing a cluster and using cumulants, we obtain the full Green's functions for the lattice. Our results are benchmarked against other methods and show that the cumulative Green's function method provides accurate results for various parameters in Hubbard models and other strongly correlated models.
We use the cumulant Green's functions method (CGFM) to study the single-band Hubbard model. The starting point of the method is to diagonalize a cluster ('seed') containing N correlated sites and employ the cumulants calculated from the cluster solution to obtain the full Green's functions for the lattice. All calculations are done directly; no variational or self-consistent process is needed. We benchmark the one-dimensional results for the gap, the double occupancy, and the ground-state energy as functions of the electronic correlation at half-filling and the occupation numbers as functions of the chemical potential obtained from the CGFM against the corresponding results of the thermodynamic Bethe ansatz and the quantum transfer matrix methods. The particle-hole symmetry of the density of states is fulfilled, and the gap, occupation numbers, and ground-state energy tend systematically to the known results as the cluster size increases. We include a straightforward application of the CGFM to simulate the singles occupation of an optical lattice experiment with lithium-6 atoms in an eight-site Fermi-Hubbard chain near half-filling. The method can be applied to any parameter space for one, two, or three-dimensional Hubbard Hamiltonians and extended to other strongly correlated models, like the Anderson Hamiltonian, the t - J, Kondo, and Coqblin-Schrieffer models.

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