Fictive Impurity Models: an Alternative Formulation of the Cluster Dynamical Mean Field Method

Abstract

"Cluster" extensions of the dynamical mean field method to include longer range correlations are discussed. It is argued that the clusters arising in these methods are naturally interpreted not as actual subunits of a physical lattice but as algorithms for computing coefficients in an orthogonal function expansion of the momentum dependence of the electronic self-energy. The difficulties with causality which have been found to plague cluster dynamical mean field methods are shown to be related to the "ringing" phenomenon familiar from Fourier analysis. The analogy is used to motivate proposals for simple filtering methods to circumvent them. The formalism is tested by comparison to low order perturbative calculations and self consistent solutions.

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• Practical consequences of Luttinger-Ward functional multivaluedness for cluster DMFT methods
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• Mott transition in one dimension: Benchmarking dynamical cluster approaches
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• Two-particle correlations in a dynamic cluster approximation with continuous momentum dependence: Superconductivity in the 2D Hubbard model
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• Fictive Impurity Approach to Dynamical Mean Field Theory: a Strong-Coupling Investigation
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• Accessing thermodynamics from dynamical cluster-embedding approaches
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• Cluster Dynamical Mean-Field Methods for d-wave Superconductors: the Role of Geometry