A Framework of Nonequilibrium Statistical Mechanics. I. Role and Types of Fluctuations

Autor: Alberto Montefusco, Hans Christian Öttinger, Mark A. Peletier
Přispěvatelé: Center for Analysis, Scientific Computing & Appl., ICMS Affiliated, EAISI Foundational
Jazyk: angličtina
Rok vydání: 2021
Předmět:
Zdroj: Journal of Non-Equilibrium Thermodynamics, 46(1), 1-13. Walter de Gruyter GmbH
Journal of Non-Equilibrium Thermodynamics, 46 (1)
ISSN: 0340-0204
1437-4358
Popis: Understanding the fluctuations by which phenomenological evolution equations with thermodynamic structure can be enhanced is the key to a general framework of nonequilibrium statistical mechanics. These fluctuations provide an idealized representation of microscopic details. We consider fluctuation-enhanced equations associated with Markov processes and elaborate the general recipes for evaluating dynamic material properties, which characterize force-flux constitutive laws, by statistical mechanics. Markov processes with continuous trajectories are conveniently characterized by stochastic differential equations and lead to Green-Kubo-type formulas for dynamic material properties. Markov processes with discontinuous jumps include transitions over energy barriers with the rates calculated by Kramers. We describe a unified approach to Markovian fluctuations and demonstrate how the appropriate type of fluctuations (continuous versus discontinuous) is reflected in the mathematical structure of the phenomenological equations.
Journal of Non-Equilibrium Thermodynamics, 46 (1)
ISSN:0340-0204
ISSN:1437-4358
Databáze: OpenAIRE