A Note on the Equivalence of Gibbs Free Energy and Information Theoretic Capacity

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dc.creatorFord, David
dc.date2008-09-22
dc.date.accessioned2026-07-07T10:04:18Z
dc.date.available2026-07-07T10:04:18Z
dc.descriptionThe minimization of Gibbs free energy is based on the changes in work and free energy that occur in a physical or chemical system. The maximization of mutual information, the capacity, of a noisy channel is determined based on the marginal probabilities and conditional entropies associated with a communications system. As different as the procedures might first appear, through the exploration of a simple, "dual use" Ising model, it is seen that the two concepts are in fact the same. In particular, the case of a binary symmetric channel is calculated in detail.
dc.description6 pages, 3 figures
dc.identifierhttps://arxiv.org/abs/0809.3540
dc.identifierhttp://arxiv.org/abs/0809.3540
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/169620
dc.subjectStatistical Mechanics
dc.subjectInformation Theory
dc.titleA Note on the Equivalence of Gibbs Free Energy and Information Theoretic Capacity
dc.typetext

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