Skip to main content

Chaotic Dynamical Systems as Machines

  • Conference paper

Part of the book series: Springer Series in Synergetics ((SSSYN,volume 38))

Abstract

The subject of this discussion belongs to no single well-established field but overlaps physics, mathematics and computer science. It can begin with a rather simple question, “when can a chaotic dynamical system be regarded as a machine, or as a model of a machine?” Also, “when is the output (behaviour) of a machine chaotic?” The two questions are related and one is led to them by asking, “to what extent is the orbit of a deterministic but chaotic dynamical system computable?” and, “in what sense is such a computed orbit chaotic?” In the past, appeals have been made to symbolic dynamics and to algorithmic complexity, but those efforts have not resolved these questions. The systems that we shall concentrate upon are purely deterministic, so that the chaos must be generated entirely by the dynamical system during the computation, and not by the effect of any external noise.

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

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. J.L. McCauley, J.I. Palmore: Phys. Lett. A115, 433 (1986).

    Article  MathSciNet  Google Scholar 

  2. J. von Neumann: Theory of Self-Reproducing Automata ( Univ. of Illinois Pr., Urbana 1966 ).

    Google Scholar 

  3. J.E. Hopcroft, J.D. Ullman: Introduction to Automata Theory, Language, and Computation ( Addison-Wesley, Reading, MA 1979 ).

    Google Scholar 

  4. D.E. Knuth: The Art of computer Programming II. Semi-Numerical Algorithms ( Addison-Wesley, Reading, MA 1981 ).

    Google Scholar 

  5. R. Shaw: Z. Naturforsch. 36a, 80 (1980).

    ADS  Google Scholar 

  6. J.I. Palmore, J.L. McCauley: Shadowing by Computable Chaotic Orbits, to be published, Phys. Let. A (1987).

    Google Scholar 

  7. H.G. Schuster: Deterministic Chaos ( Physik verlag, Mosbach 1984 ).

    MATH  Google Scholar 

  8. S. Grossmann, S, Thomas: Z. Naturforsch. 32a, 1353 (1977).

    ADS  MathSciNet  Google Scholar 

  9. C. Beck, G. Roepstorff: Univ. of Aachen preprint (1986)

    Google Scholar 

  10. G. Benettin, G.M. Casartelli, L. Galgani, A. Giorgilli, J.M. Strelcyn: Nuovo Cimento B44 183 (1978).

    Article  MathSciNet  Google Scholar 

  11. J. Guckenheimer, P. Holmes: Nonlinear Oscillations, Dynamical Systems, and Bifurcations of Vector Fields (Springer Verlag, New York, Berlin, Heidelberg, Tokyo 1983 ).

    Google Scholar 

  12. O.E. Lanford III: in Chaotic Behaviour of Deterministic Systems, ed by Ioos, Helleman, Stora ( North Holland, Amsterdam 1983 )

    Google Scholar 

  13. J.L. McCauley, J.I. Palmore: in Scaling of Disordered Systems,eds. R. Pynn, A. Skjeltorp ( Plenum Pr., New York 1985 ).

    Google Scholar 

  14. J.I. Palmore, J.L. McCauley: Statistics of Computable Hyperbolic Systems, preprint (1987).

    Google Scholar 

  15. A. Hodges: Alan Turing: The Enigma ( Simon and Schuster, New York 1980 ) pp. 91–110.

    Google Scholar 

  16. A.M. Turing: Proc. London Math. Sa (2) 42, 230 (1937).

    Google Scholar 

  17. M.L. Minsky: Computation, Finite and Infinite Machines ( Prentice-Hall, London 1967 ).

    MATH  Google Scholar 

  18. Niven: Irrational Numbers, The Carus Mathematical Monographs No. 11 (1956).

    Google Scholar 

  19. M. Kac: Statistical Independence in Probability Analysis and Number Theory. The Carus Mathematical Monographs No. 12 (1959).

    Google Scholar 

  20. J.L. McCauley: Z. Naturforsh. 42a (1987), in press.

    Google Scholar 

  21. S. Waggoner: Math. Intelligencer 7, 65 (1985)

    MathSciNet  Google Scholar 

  22. P. Martin-Löf: Inf. Control 9, 602 (1966).

    Article  Google Scholar 

  23. J. Ford: Physics Today 36, 40 (1983).

    Article  Google Scholar 

  24. K. Preston, Jr., M.J.B. Duff: Modern Cellular Automata ( Plenum Pr., London 1984 ).

    Google Scholar 

  25. S. Wolfram: Physica 10D, 1 (1984).

    MathSciNet  Google Scholar 

  26. U. Frisch, B. Hasslacher, Y. Pomeau: Phys. Rev. Lett. 56, 1505 (1986); N. Margolus, T. Toffoli, G. Vichniac: Phys. Rev. Lett. 56, 1694 (1986).

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 1987 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

McCauley, J.L. (1987). Chaotic Dynamical Systems as Machines. In: Haken, H. (eds) Computational Systems — Natural and Artificial. Springer Series in Synergetics, vol 38. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-73089-4_16

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-73089-4_16

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-73091-7

  • Online ISBN: 978-3-642-73089-4

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics