Theory of Transport Processes and the Method of the Nonequilibrium Statistical Operator
A. L. Kuzemsky

TL;DR
This review discusses the nonequilibrium statistical operator (NSO) method, highlighting its ability to generalize Gibbs ensembles for time-dependent processes and its applications in deriving transport and kinetic equations.
Contribution
It introduces and emphasizes the utility of the NSO method for treating nonequilibrium processes, connecting it with traditional ensemble approaches and demonstrating its practical applications.
Findings
NSO method generalizes Gibbs ensembles to nonequilibrium.
Enables derivation of transport and kinetic equations.
Applicable to relaxation and dissipative processes.
Abstract
The aim of this review is to provide better understanding of a few approaches that have been proposed for treating nonequilibrium (time-dependent) processes in statistical mechanics with the emphasis on the inter-relation between theories. The ensemble method, as it was formulated by J. W. Gibbs, have the great generality and the broad applicability to equilibrium statistical mechanics. Different macroscopic environmental constraints lead to different types of ensembles, with particular statistical characteristics. In the present work, the statistical theory of nonequilibrium processes which is based on nonequilibrium ensemble formalism is discussed. The kinetic approach to dynamic many-body problems, which is important from the point of view of the fundamental theory of irreversibility, is alluded to. The emphasis is on the method of the nonequilibrium statistical operator (NSO)…
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