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

Hans Christian Öttinger, Mark A. Peletier, Alberto Montefusco

2020Journal of Non-Equilibrium Thermodynamics17 citationsDOIOpen Access PDF

Abstract

Abstract 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.

Topics & Concepts

Statistical physicsNon-equilibrium thermodynamicsMarkov processMarkov chainRepresentation (politics)Time reversibilityStochastic processMathematicsPhysicsTerm (time)Phenomenological modelMarkov propertyStochastic differential equationDifferential equationMarkov modelType (biology)Statistical mechanicsDetailed balanceApplied mathematicsEnergy (signal processing)Statistical fluctuationsStatistical theoryStatistical modelVariable-order Markov modelSteady state (chemistry)Phenomenology (philosophy)Classical mechanicsPartial differential equationAdvanced Thermodynamics and Statistical MechanicsTheoretical and Computational PhysicsStatistical Mechanics and Entropy