Table of Contents
Entropy, Volume 19, Issue 2 (February 2017) – 40 articles
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Cover Story (view full-size image) It is argued that one should make a clear distinction between Shannon’s Measure of Information [...] Read more. It is argued that one should make a clear distinction between Shannon’s Measure of Information (SMI) and Thermodynamic Entropy. The first is defined on any probability distribution whereas Entropy is defined on a very special set of distributions. The entropy measures the uncertainty in the distribution of the locations and momenta of all the particles. The H-function, as defined by Boltzmann, is an SMI, not entropy. Therefore, the H-theorem is irrelevant to the Second Law of Thermodynamics. It is therefore recommended to change the term MaxEnt, to MaxSMI. View this paper