Statistical Green's Functions
V. I. Yukalov

TL;DR
This paper reviews the mathematical properties of Green's functions in statistical mechanics and introduces the Correlated Iteration Theory, a novel perturbation approach that systematically incorporates interparticle correlations.
Contribution
It presents the Correlated Iteration Theory, a new perturbation method that systematically accounts for interparticle correlations in Green's functions.
Findings
Systematic algorithm for approximations
Consistent inclusion of interparticle correlations
Differentiates from existing perturbation methods
Abstract
The basic mathematical properties of Green's functions used in statistical mechanics as well as the equations defining these functions and the techniques of solving these equations are reviewed. An approach is presented called the Correlated Iteration Theory, which has been developed by the author. This approach differs from all other known variants of perturbation theory for Green's functions by the combination of two factors: the systematic formulation of an algorithm for obtaining subsequent approximations and the consistent consideration of interparticle correlations at each step of the procedure.
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Taxonomy
TopicsMulti-Criteria Decision Making · Statistical Mechanics and Entropy
