Skip to main content

Randomness Deficiencies

  • Conference paper
  • First Online:
Unveiling Dynamics and Complexity (CiE 2017)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 10307))

Included in the following conference series:

Abstract

The notion of random sequence was introduced by Martin-Löf in [3]. In the same article he defined the so-called randomness deficiency function that shows how close are random sequences to non-random (in some natural sense). Other deficiency functions can be obtained from the Levin-Schnorr theorem, that describes randomness in terms of Kolmogorov complexity. The difference between all of these deficiencies is bounded by a logarithmic term (Proposition 1). In this paper we show (Theorems 1 and 2) that the difference between some deficiencies can be as large as possible.

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

Access this chapter

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

References

  1. Bienvenu, L., Gacs, P., Hoyrup, M., Rojas, C., Shen, A.: Algorithmic tests and randomness with respect to a class of measures. Proc. Steklov Inst. Math. 274, 41–102 (2011)

    Article  MathSciNet  MATH  Google Scholar 

  2. Uspensky, V.A., Vereshchagin, N.K., Shen, A.: Kolmogorov complexity and algorithmic randomness, MCCME (2013) (in Russian)

    Google Scholar 

  3. Martin-Lof, P.: The definition of random sequences. Inf. Control 9, 602–619 (1966)

    Article  MathSciNet  MATH  Google Scholar 

  4. Gacs, P.: Exact expressions for some randomness tests. Z. Math. Log. Grdl. M. 26, 385–394 (1980). Short version: Springer. Lecture Notes in Computer Science, vo. 67, pp. 124–131 (1979)

    Article  MathSciNet  MATH  Google Scholar 

  5. Schnorr, C.P.: Process complexity and effective random tests. J. Comput. Syst. Sci. 7(4), 376–388 (1973). Conference version: STOC 1972, pp. 168–176

    Article  MathSciNet  MATH  Google Scholar 

  6. Levin, L.A.: On the notion of a random sequence. Sov. Math. Dokl. 14(5), 1413–1416 (1973)

    MATH  Google Scholar 

  7. Williams, D.: Probability with Martingales. Cambridge University Press, Cambridge (1991)

    Book  MATH  Google Scholar 

Download references

Acknowledgements

This research was supported in part by RaCAF ANR-15-CE40-0016-01. The author thanks Alexander Shen and Mikhail Andreev for their help.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Gleb Novikov .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2017 Springer International Publishing AG

About this paper

Cite this paper

Novikov, G. (2017). Randomness Deficiencies. In: Kari, J., Manea, F., Petre, I. (eds) Unveiling Dynamics and Complexity. CiE 2017. Lecture Notes in Computer Science(), vol 10307. Springer, Cham. https://doi.org/10.1007/978-3-319-58741-7_32

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-58741-7_32

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-58740-0

  • Online ISBN: 978-3-319-58741-7

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics