{
  "id": "cond-mat/0005382",
  "version": "v3",
  "published": "2000-05-23T13:12:04.000Z",
  "updated": "2002-12-13T15:50:09.000Z",
  "title": "Information theory explanation of the fluctuation theorem, maximum entropy production and self-organized criticality in non-equilibrium stationary states",
  "authors": [
    "Roderick C. Dewar"
  ],
  "comment": "21 pages, 0 figures, minor modifications, version to appear in J. Phys. A. (2003)",
  "journal": "J. Phys. A: Math. Gen. 36 (2003) 631-641",
  "doi": "10.1088/0305-4470/36/3/303",
  "categories": [
    "cond-mat.stat-mech",
    "physics.ao-ph"
  ],
  "abstract": "Jaynes' information theory formalism of statistical mechanics is applied to the stationary states of open, non-equilibrium systems. The key result is the construction of the probability distribution for the underlying microscopic phase space trajectories. Three consequences of this result are then derived : the fluctuation theorem, the principle of maximum entropy production, and the emergence of self-organized criticality for flux-driven systems in the slowly-driven limit. The accumulating empirical evidence for these results lends support to Jaynes' formalism as a common predictive framework for equilibrium and non-equilibrium statistical mechanics.",
  "revisions": [
    {
      "version": "v3",
      "updated": "2002-12-13T15:50:09.000Z"
    }
  ],
  "analyses": {
    "keywords": [
      "maximum entropy production",
      "non-equilibrium stationary states",
      "information theory explanation",
      "fluctuation theorem",
      "self-organized criticality"
    ],
    "tags": [
      "journal article"
    ],
    "note": {
      "typesetting": "TeX",
      "pages": 21,
      "language": "en",
      "license": "arXiv",
      "status": "editable"
    }
  }
}