Skip to main content
SpringerLink
Log in

A Markov-informational representation of evolutions

  • Published:
Foundations of Physics Aims and scope Submit manuscript

Abstract

A purely probabilistic-informational model of evolutions is sketched, basically free of any assumption concerning the nature and structure of the evolving system but apt to incorporatea posteriori any such assumptions needed for application to a specified evolution. The model produces an abstract extension of the second principle of thermodynamics. It also leads to an outline of a typology of irreversible evolutions.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  1. I. Prigogine,Étude thermodynamique des phénomènes irréversibles (Doeser, Liège, 1947);Introduction à la thermodynamique des processus irréversibles (Dunod, Paris, 1986).

    Google Scholar 

  2. R. J. Tykodi,Thermodynamics of Steady States (Macmillan, New York, 1967).

    Google Scholar 

  3. C. Truesdell,Rational Thermodynamics (McGraw-Hill, New York, 1969).

    Google Scholar 

  4. F. Fer,L'irréversibilité, fondement de la stabilité du mode physique (Gauthier-Villars, Paris, 1977).

    Google Scholar 

  5. G. Lindblad,Nonequilibrium Entropy and Irreversible Processes (Reidel, Dordrecht, 1983).

    Google Scholar 

  6. E. T. Jaynes,Papers on Probability, Statistics, and Statistical Physics, R. D. Rosenkrantz, ed. (Reidel, Dordrecht, 1983).

    Google Scholar 

  7. M. Tribus,J. Appl. Mech., March, 1961.

  8. R. P. Feynmann,Rev. Mod. Phys. 20, 2 (1948).

    Google Scholar 

  9. A. Grünbaum,Philosophical Problems of Space and Time (Reidel, Dordrecht, 1968).

    Google Scholar 

  10. T. L. Fine,Theories of Probabilities (Academic Press, New York, 1973).

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Laboratoire de Physiologic Cellulaire, Université Pierre et Marie Curie, Paris, France

    François Schächter

  2. National Institute of Health, Bethesda, Maryland

    François Schächter

Authors
  1. François Schächter
    View author publications

    You can also search for this author in PubMed Google Scholar

Rights and permissions

Reprints and permissions

About this article

Cite this article

Schächter, F. A Markov-informational representation of evolutions. Found Phys 17, 183–192 (1987). https://doi.org/10.1007/BF00733207

Download citation

  • Received:

  • Revised:

  • Issue Date:

  • DOI: https://doi.org/10.1007/BF00733207

Keywords

Search

Navigation