Skip to main content

How Powerful Are Integer-Valued Martingales?

  • Conference paper
Programs, Proofs, Processes (CiE 2010)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 6158))

Included in the following conference series:

Abstract

In the theory of algorithmic randomness, one of the central notions is that of computable randomness. An infinite binary sequence X is computably random if no recursive martingale (strategy) can win an infinite amount of money by betting on the values of the bits of X. In the classical model, the martingales considered are real-valued, that is, the bets made by the martingale can be arbitrary real numbers. In this paper, we investigate a more restricted model, where only integer-valued martingales are considered, and we study the class of random sequences induced by this model.

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 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

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Bienvenu, L., Merkle, W.: Constructive equivalence relations for computable probability measures. Annals of Pure and Applied Logic 160, 238–254 (2009)

    Article  MATH  MathSciNet  Google Scholar 

  2. Billingsley, P.: Probability and measure, 3rd edn. Wiley Series in Probability and Mathematical Statistics. John Wiley & Sons Inc., New York (1995); A Wiley-Interscience Publication

    MATH  Google Scholar 

  3. Downey, R., Griffiths, E., Reid, S.: On Kurtz randomness. Theoretical Computer Science 321(2-3), 249–270

    Google Scholar 

  4. Doob, J.L.: Stochastic Processes. John Wiley & Sons Inc., New York (1953)

    MATH  Google Scholar 

  5. Hoeffding, W.: Probability inequalities for sums of bounded random variables. Journal of the American Statistical Association 58, 13–30 (1963)

    Article  MATH  MathSciNet  Google Scholar 

  6. Kakutani, S.: On equivalence of infinite product measures. Annals of Mathematics 49(214-224) (1948)

    Google Scholar 

  7. Kurtz, S.: Randomness and genericity in the degrees of unsolvability. PhD dissertation, University of Illinois at Urbana (1981)

    Google Scholar 

  8. 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  MATH  MathSciNet  Google Scholar 

  9. Muchnik, A.A., Semenov, A., Uspensky, V.: Mathematical metaphysics of randomness. Theoretical Computer Science 207(2), 263–317 (1998)

    Article  MATH  MathSciNet  Google Scholar 

  10. Nies, A.: Computability and Randomness. Oxford Logic Guides, vol. 51. Oxford University Press, Oxford (2009)

    MATH  Google Scholar 

  11. Ross, S.M.: Stochastic Processes, 2nd edn. Wiley Series in Probability and Statistics: Probability and Statistics. John Wiley & Sons Inc., New York (1996)

    MATH  Google Scholar 

  12. Schnorr, C.-P.: Zufälligkeit und Wahrscheinlichkeit. Eine algorithmische Begründung der Wahrscheinlichkeitstheorie. LNM, vol. 218. Springer, Berlin (1971)

    MATH  Google Scholar 

  13. Shen, A.: On relations between different algorithmic definitions of randomness. Soviet Mathematics Doklady 38, 316–319 (1989)

    MATH  MathSciNet  Google Scholar 

  14. Vovk, V.: On a criterion for randomness. Soviet Mathematics Doklady 294(6), 1298–1302 (1987)

    MathSciNet  Google Scholar 

  15. Wang, Y.: A separation of two randomness concepts. Information Processing Letters 69(3), 115–118 (1999)

    Article  MathSciNet  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2010 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Bienvenu, L., Stephan, F., Teutsch, J. (2010). How Powerful Are Integer-Valued Martingales?. In: Ferreira, F., Löwe, B., Mayordomo, E., Mendes Gomes, L. (eds) Programs, Proofs, Processes. CiE 2010. Lecture Notes in Computer Science, vol 6158. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13962-8_7

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-13962-8_7

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-13961-1

  • Online ISBN: 978-3-642-13962-8

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics