Statistical models of nonequilibrium Bose gases

TL;DR

This paper develops statistical models to describe the complex nonequilibrium states of Bose gases after strong perturbations, including a model for grain turbulence and phase mixtures, enhancing understanding of their relaxation dynamics.

Contribution

It introduces a novel approach for constructing statistical models of nonequilibrium Bose gases based on averaging over heterogeneous configurations.

Findings

Proposed a statistical model for grain turbulence.

Analyzed a two-phase mixture model with gauge symmetry considerations.

Outlined the inverse sequence of nonequilibrium states during relaxation.

Abstract

The idea is advanced that strong perturbations of an initially equilibrium Bose-condensed gas lead to the sequence of nonequilibrium states whose order is inverse to the sequence of states arising in the process of the Bose-gas relaxation from an initial nonequilibrium state. An approach is described for constructing statistical models of nonequilibrium Bose gases. The method is based on the averaging over heterogenous configurations of a nonequilibrium system. A statistical model of grain turbulence is suggested. A simple model is analyzed consisting of a mixture of two phases, one gauge symmetric and the other with broken gauge symmetry.