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

@inproceedings{Dewar2003AM,
title={A : Mathematical and General Information theory explanation of the fluctuation theorem , maximum entropy production and self-organized criticality in non-equilibrium stationary states},
author={Roderick C. Dewar},
year={2003}
}

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 p of the underlying microscopic phase space trajectories over a time interval of length τ satisfies p ∝ exp(τσ /2kB) where σ is the time-averaged rate of entropy production of . Three consequences of this result are then derived: (1) the fluctuation theorem, which describes the exponentially declining probability… CONTINUE READING

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1 Excerpt

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