Generalized Thermodynamics Underlying the Laws of Zipf and Benford

  • Carlo Altamirano
  • Alberto Robledo
Part of the Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering book series (LNICST, volume 5)

Abstract

We demonstrate that the laws of Zipf and Benford, that govern scores of data generated by many and diverse kinds of human activity (as well as other data from natural phenomena), are the centerpiece expressions of a generalized thermodynamic structure. This structure is obtained from a deformed type of statistical mechanics that arises when configurational phase space is incompletely visited in an especially severe fashion. Specifically, the restriction is that the accessible fraction of this space has fractal properties. We obtain a generalized version of Benford’s law for data expressed in full and not by the first digit. The inverse functional of this expression is identified with the Zipf’s law; but it naturally includes the tails observed in real data for small rank. Thermodynamically, our version of Benford’s law expresses a Legendre transform between two entropy (or Massieu) potentials, while Zipf’s law is merely the expression that relates the corresponding partition functions.

Keywords

Zipf’s law Benford’s law generalized thermodynamics fractal phase space 

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References

  1. 1.
    Zipf, G.K.: Human Behavior and the Principle of Least-Effort. Addison-Wesley, Reading (1949)Google Scholar
  2. 2.
    Benford, F.: The Law of Anomalous Numbers. Proceedings of the American Philosophical Society 78(4), 551–572 (1938)MATHGoogle Scholar
  3. 3.
    van der Galien, J.G. (November 08, 2008), See: http://en.wikipedia.org/wiki/Zipfs_law
  4. 4.
    Pietronero, L., Tosatti, E., Tosatti, V., Vespignani, A.: Physica A 293, 297 (2001)CrossRefGoogle Scholar
  5. 5.
    García-Morales, V., Pellicer, J.: Physica A 361, 161 (2006)CrossRefGoogle Scholar
  6. 6.
  7. 7.
    Leech, G., Rayson, P., Wilson, A.: Word Frequencies in Written and Spoken English: based on the British National Corpus. Longman, London (2001)Google Scholar
  8. 8.
    Barrueco, J.M.: Ranking of journals by impact factor. The Econometrics Journal, http://www.feweb.vu.nl/econometriclinks/rankings/
  9. 9.
    Naumis, G.G., Cocho, G.: Physica A 387, 84 (2008)CrossRefGoogle Scholar
  10. 10.
    Beltrán Del Río, M., Cocho, G., Naumis, G.G.: Physica A 387, 5552 (2008)CrossRefGoogle Scholar
  11. 11.
    Altamirano, C., Robledo, A.: (submitted)Google Scholar

Copyright information

© ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering 2009

Authors and Affiliations

  • Carlo Altamirano
    • 1
  • Alberto Robledo
    • 1
  1. 1.Instituto de FísicaUniversidad Nacional Autónoma de MéxicoMéxicoMéxico

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