Skip to main content

Constructive Equivalence Relations on Computable Probability Measures

  • Conference paper
Computer Science – Theory and Applications (CSR 2006)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 3967))

Included in the following conference series:

Abstract

We study the equivalence relations on probability measures corresponding respectively to having the same Martin-Löf random reals, having the same Kolmogorov-Loveland random reals, and having the same computably random reals. In particular, we show that, when restricted to the class of strongly positive generalized Bernoulli measures, they all coincide with the classical equivalence, which requires that two measures have the same nullsets.

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

Access this chapter

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

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Downey, R., Hirschfeldt, D.: Algorithmic Randomness and Complexity. Book in preparation, See: http://www.mcs.vuw.ac.nz/~downey

  2. Kakutani, S.: On the equivalence of infinite product measures. Ann. Math. 49, 214–224 (1948)

    Article  MathSciNet  MATH  Google Scholar 

  3. Martin-Löf, P.: The definition of random sequences. Information and Control 9(6), 602–619 (1966)

    Article  MathSciNet  MATH  Google Scholar 

  4. Merkle, W., Miller, J.S., Nies, A., Reimann, J., Stephan, F.: Kolmogorov-Loveland Randomness and Stochasticity. Annals of Pure and Applied Logic 138(1-3), 183–210 (2006)

    Article  MathSciNet  MATH  Google Scholar 

  5. Muchnik, A.A., Semenov, A.L., Uspensky, V.A.: Mathematical metaphysics of randomness. Theor. Comput. Sci. 207(2), 263–317 (1998)

    Article  MathSciNet  MATH  Google Scholar 

  6. Schnorr, C.P.: A unified approach to the definition of random sequences. Math. Systems Theory 5, 246–258 (1971)

    Article  MathSciNet  MATH  Google Scholar 

  7. Schnorr, C.P.: Zufälligkeit und Wahrscheinlichkeit. Springer-Verlag Notes in Mathematics, p. 218 (1971)

    Google Scholar 

  8. Shen’, A.Kh.: On relations between different algorithmic definitions of randomness. Soviet Mathematical Doklady 38, 316–319 (1988)

    MATH  Google Scholar 

  9. van Lambalgen, M.: Random sequences. Doctoral dissertation, University of Amsterdam (1987)

    Google Scholar 

  10. Vovk, V.G.: On a randomness criterion. Soviet Mathematics Doklady 35, 656–660 (1987)

    MATH  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

Bienvenu, L. (2006). Constructive Equivalence Relations on Computable Probability Measures. In: Grigoriev, D., Harrison, J., Hirsch, E.A. (eds) Computer Science – Theory and Applications. CSR 2006. Lecture Notes in Computer Science, vol 3967. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11753728_12

Download citation

  • DOI: https://doi.org/10.1007/11753728_12

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-34166-6

  • Online ISBN: 978-3-540-34168-0

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics