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Information theory explanation of the fluctuation theorem, maximum entropy production and self-organized criticality in non-equilibrium stationary states

Journal of Physics A Mathematical and General · 2003 · Vol. 36(3) · pp. 631–641
Roderick C. Dewar

Abstract

Jaynes' information theory formalism of statistical mechanics is applied to the stationary states of open, non-equilibrium systems. First, it is shown that the probability distribution pΓ of the underlying microscopic phase space trajectories Γ over a t

Advanced Thermodynamics and Statistical MechanicsStatistical Mechanics and EntropyPhase Equilibria and ThermodynamicsEntropy productionStatistical physicsStatistical mechanicsFluctuation theoremCriticalityNon-equilibrium thermodynamicsMaximum entropy thermodynamicsEntropy (arrow of time)H-theoremPhase space
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References
Information Theory and Statistical Mechanics
Physical Review · 1957 · 12,706 citations
Introduction to Thermodynamics of Irreversible Processes
Journal of The Electrochemical Society · 1963 · 2,141 citations
Self-organized criticality: An explanation of the 1/<i>f</i>noise
Physical Review Letters · 1987 · 7,507 citations
Fluctuation theorem for stochastic dynamics
Journal of Physics A Mathematical and General · 1998 · 1,026 citations
Information Theory and Statistical Mechanics. II
Physical Review · 1957 · 3,169 citations
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