Statistically-consistent Gutzwiller approach and its equivalence with the mean-field slave-boson method for correlated systems
Jakub J\c{e}drak, Jan Kaczmarczyk, Jozef Spa{\l}ek

TL;DR
The paper introduces a statistically consistent Gutzwiller approach (SGA) that is equivalent to the mean-field slave-boson method for correlated systems, providing a simpler and more transparent framework without ad hoc assumptions.
Contribution
It establishes the equivalence between the Gutzwiller approximation and slave-boson formalism using a MaxEnt-based method, and introduces SGA as a simpler alternative.
Findings
SGA reproduces slave-boson results in the studied case.
The method avoids auxiliary Bose fields with no direct physical meaning.
SGA can be extended to more complex models and systems.
Abstract
We propose a new method of solving a class of mean-field (MF) models, which is based on the Maximum Entropy (MaxEnt) principle with additional constraints included. Next, we show equivalence of our method when applied to the Gutzwiller approximation (GA), with the mean-field slave-boson (SB) formalism (on the example of the single-band Hubbard model). This equivalence provides thus an alternative justification of the results obtained within the SB approach which, however, contains ad hoc assumptions to position it in agreement with GA. Our approach implies that all predictions of the MF SB method can be obtained in a simpler, transparent, and controllable manner within GA when supplemented with the statistical-consistency conditions. We call the method as the Statistically-consistent Gutzwiller Approximation (SGA). Explicitly, the present formulation does not require introducing the…
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Taxonomy
TopicsPhysics of Superconductivity and Magnetism · Quantum and electron transport phenomena · Cold Atom Physics and Bose-Einstein Condensates
