Abstract
An information-theoretical background is presented here for the functional random-walk model of a many-particle system, which was recently proposed to simulate nonequilibrium statistical mechanics in a certain coarse-graining sense. Next, entropy productivity and the maximum-entropy state in the model dynamics are studied with the new definition of entropy, which turns out to be a natural extension of the original Boltzmann entropy.
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