Skip to main content

On the Complexity of Limit Sets of Cellular Automata Associated with Probability Measures

  • Conference paper

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 4162))

Abstract

We study the notion of limit sets of cellular automata associated with probability measures (μ-limit sets). This notion was introduced by P. Kůrka and A. Maass in [1]. It is a refinement of the classical notion of ω-limit sets dealing with the typical long term behavior of cellular automata. It focuses on the words whose probability of appearance does not tend to 0 as time tends to infinity (the persistent words). In this paper, we give a characterization of the persistent language for non sensitive cellular automata associated with Bernoulli measures. We also study the computational complexity of these languages. We show that the persistent language can be non-recursive. But our main result is that the set of quasi-nilpotent cellular automata (those with a single configuration in their μ-limit set) is neither recursively enumerable nor co-recursively enumerable.

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. Kůrka, P., Maass, A.: Limit Sets of Cellular Automata Associated to Probability Measures. Journal of Statistical Physics 100, 1031–1047 (2000)

    Article  MATH  MathSciNet  Google Scholar 

  2. Wolfram, S.: Universality and complexity in cellular automata. Physica D 10, 1–35 (1984)

    Article  MathSciNet  Google Scholar 

  3. Kůrka, P.: Languages, equicontinuity and attractors in cellular automata. Ergodic Theory and Dynamical Systems 17, 417–433 (1997)

    Article  MATH  MathSciNet  Google Scholar 

  4. Mazoyer, J., Rapaport, I.: Inducing an Order on Cellular Automata by a Grouping Operation. In: Symposium on Theoretical Aspects of Computer Science. LNCS (1998)

    Google Scholar 

  5. Čulik II, K., Pachl, J., Yu, S.: On the limit sets of cellular automata. SIAM Journal on Computing 18, 831–842 (1989)

    Article  MATH  MathSciNet  Google Scholar 

  6. Kari, J.: Rice’s theorem for the limit sets of cellular automata. Theoretical Computer Science 127, 229–254 (1994)

    Article  MATH  MathSciNet  Google Scholar 

  7. Nagel, K., Schreckenberg, M.: A cellular automaton model for freeway traffic. J. Phys. 2, 2221–2229 (1992)

    Article  Google Scholar 

  8. Kari, J.: The Nilpotency Problem of One-dimensional Cellular Automata. SIAM Journal on Computing 21, 571–586 (1992)

    Article  MATH  MathSciNet  Google Scholar 

  9. Sutner, K.: Cellular automata and intermediate degrees. Theoretical Computer Science 296 (2003)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2006 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Boyer, L., Poupet, V., Theyssier, G. (2006). On the Complexity of Limit Sets of Cellular Automata Associated with Probability Measures. In: Královič, R., Urzyczyn, P. (eds) Mathematical Foundations of Computer Science 2006. MFCS 2006. Lecture Notes in Computer Science, vol 4162. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11821069_17

Download citation

  • DOI: https://doi.org/10.1007/11821069_17

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-37791-7

  • Online ISBN: 978-3-540-37793-1

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics