Variational Principle of Bogoliubov and Generalized Mean Fields in Many-Particle Interacting Systems

TL;DR

This paper reviews the variational principle for free energy in many-particle systems, connecting it with mean field methods and illustrating its application to models like Ising, Heisenberg, and superconducting systems.

Contribution

It provides a unified, pedagogical overview of the variational approach, linking it to mean field techniques and demonstrating its broad applicability in statistical mechanics.

Findings

Connection established between variational principle and mean field methods.

Application to various models like Ising, Heisenberg, and superconductors.

Potential for new approaches in many-particle system analysis.

Abstract

The approach to the theory of many-particle interacting systems from a unified standpoint, based on the variational principle for free energy is reviewed. A systematic discussion is given of the approximate free energies of complex statistical systems. The analysis is centered around the variational principle of N. N. Bogoliubov for free energy in the context of its applications to various problems of statistical mechanics and condensed matter physics. The review presents a terse discussion of selected works carried out over the past few decades on the theory of many-particle interacting systems in terms of the variational inequalities. It is the purpose of this paper to discuss some of the general principles which form the mathematical background to this approach, and to establish a connection of the variational technique with other methods, such as the method of the mean (or self-consistent) field in the many-body problem, in which the effect of all the other particles on any given particle is approximated by a single averaged effect, thus reducing a many-body problem to a single-body problem. The method is illustrated by applying it to various systems of many-particle interacting systems, such as Ising and Heisenberg models, superconducting and superfluid systems, strongly correlated systems, etc. It seems likely that these technical advances in the many-body problem will be useful in suggesting new methods for treating and understanding many-particle interacting systems. This work proposes a new, general and pedagogical presentation, intended both for those who are interested in basic aspects, and for those who are interested in concrete applications.