{
  "id": "0809.3540",
  "version": "v1",
  "published": "2008-09-22T18:34:55.000Z",
  "updated": "2008-09-22T18:34:55.000Z",
  "title": "A Note on the Equivalence of Gibbs Free Energy and Information Theoretic Capacity",
  "authors": [
    "David Ford"
  ],
  "comment": "6 pages, 3 figures",
  "categories": [
    "cond-mat.stat-mech",
    "cs.IT",
    "math.IT"
  ],
  "abstract": "The 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.",
  "revisions": [
    {
      "version": "v1",
      "updated": "2008-09-22T18:34:55.000Z"
    }
  ],
  "analyses": {
    "keywords": [
      "gibbs free energy",
      "information theoretic capacity",
      "equivalence",
      "binary symmetric channel",
      "first appear"
    ],
    "note": {
      "typesetting": "TeX",
      "pages": 6,
      "language": "en",
      "license": "arXiv",
      "status": "editable",
      "adsabs": "2008arXiv0809.3540F"
    }
  }
}