Skip to main content

Complexity of Complexity and Maximal Plain versus Prefix-Free Kolmogorov Complexity

  • Conference paper

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 7391))

Abstract

Peter Gacs showed [2] that for every n there exists a bit string x of length n whose plain complexity C(x) has almost maximal conditional complexity relative to x, i.e., C(C(x)|x) ≥ logn − log(2) n − O(1). Here log2(i) = loglogi etc. Following Elena Kalinina [4], we provide a game-theoretic proof of this result; modifying her argument, we get a better (and tight) bound logn − O(1). We also show the same bound for prefix-free complexity.

Robert Solovay’s showed [11] that infinitely many strings x have maximal plain complexity but not maximal prefix-free complexity (among the strings of the same length); i.e. for some c: |x| − C(x) ≤ c and |x| + K(|x|) − K(x) ≥ log(2) |x| − clog(3) |x|. Using the result above, we provide a short proof of Solovay’s result. We also generalize it by showing that for some c and for all n there are strings x of length n with n − C(x) ≤ c, and n + K(n) − K(x) ≥ K(K(n)|n) − 3K( K(K(n)|n) |n) − c . This is very close to the upperbound K(K(n)|n) + O(1) proved by Solovay.

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   39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   54.99
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. Downey, R.G., Hirschfeldt, D.R.: Algorithmic Randomness and Complexity. Theory and Applications of Computability. Springer (2010)

    Google Scholar 

  2. Gács, P.: On the symmetry of algorithmic information. Soviet Math. Dokl. 15(5), 1477–1480 (1974)

    MATH  Google Scholar 

  3. Gács, P.: Lecture notes on descriptional complexity and randomness (1988-2011), http://www.cs.bu.edu/faculty/gacs/papers/ait-notes.pdf

  4. Kalinina, E.: Some applications of the method of games in Kolmogorov complexity. Master thesis, Moscow State University (2011)

    Google Scholar 

  5. Kolmogorov, A.N.: Three approaches to the quantitative definition of information. Problemy Peredachi Informatsii 1(1), 3–11 (1965)

    MathSciNet  MATH  Google Scholar 

  6. Li, M., Vitányi, P.M.B.: An Introduction to Kolmogorov Complexity and Its Applications. Springer, New York (2008)

    Book  MATH  Google Scholar 

  7. Miller, J.S.: Contrasting plain and prefix-free complexities, Preprint, http://www.math.wisc.edu/~jmiller/downloads.html

  8. Muchnik, A.: On the basic structures of the descriptive theory of algorithms. Soviet Math. Dokl. 32, 671–674 (1985)

    MATH  Google Scholar 

  9. Muchnik, A.A., Mezhirov, I., Shen, A., Vereshchagin, N.: Game interpretation of Kolmogorov complexity (2010), arxiv:1003.4712v1

    Google Scholar 

  10. Shen, A.: Algorithmic Information theory and Kolmogorov complexity. Technical report TR2000-034. Uppsala University (2000)

    Google Scholar 

  11. Solovay, R.: Draft of a paper (or series of papers) on Chaitin’s work, unpublished notes, 215 pages (1975)

    Google Scholar 

  12. Vereshchagin, N.: Kolmogorov complexity and Games. Bulletin of the European Association for Theoretical Computer Science 94, 51–83 (2008)

    Google Scholar 

  13. Zvonkin, A.K., Levin, L.A.: The complexity of finite objects and the development of the concepts of information and randomness by means of the theory of algorithms. Russian Math. Surveys 25(6(156)), 83–124 (1970)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2012 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Bauwens, B. (2012). Complexity of Complexity and Maximal Plain versus Prefix-Free Kolmogorov Complexity. In: Czumaj, A., Mehlhorn, K., Pitts, A., Wattenhofer, R. (eds) Automata, Languages, and Programming. ICALP 2012. Lecture Notes in Computer Science, vol 7391. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31594-7_9

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-31594-7_9

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-31593-0

  • Online ISBN: 978-3-642-31594-7

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics