Skip to main content
Log in

Uniform convergence of reversed martingales

  • Published:
Journal of Theoretical Probability Aims and scope Submit manuscript

Abstract

A necessary and sufficient condition for the uniform convergence of a family of reversed martingales converging to a degenerated limiting process is given. The condition is expressed by means of regular convergence (in Hardy's sense) of corresponding means. It is shown that the given regular convergence is equivalent to Hoffmann-Jørgensen's eventually totally boundedness in the mean which is necessary and sufficient for the uniform law of large numbers. Analogous results are carried out for families of reversed submartingales. By applying derived results several convergence statements are obtained which extend those from the uniform law of large numbers to the general reversed martingale case.

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

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. Chow, J. S., and Teicher, H. (1978).Probability Theory, Springer-Verlag, New York, Inc.

    Google Scholar 

  2. Doob, J. (1953).Stochastic Processes, John Wiley and Sons, Inc.

  3. Giné, J., and Zinn, J. (1984). Some limit theorems for empirical processes,Ann. Prob. 12, 929–989.

    Google Scholar 

  4. Hardy, G. H. (1917). On the convergence of certain multiple series,Proc. Cambridge Phil. Soc. 19, 86–95.

    Google Scholar 

  5. Hoffmann-Jørgensen, J. (1984). Necessary and sufficient conditions for the uniform law of large numbers,Probability in Banach Spaces V, A. Beck et al. (eds.) Springer-Verlag, Berlin/Heidelberg,Lecture Notes in Math. 1153, 127–137.

    Google Scholar 

  6. Hoffman-Jørgensen, J. (1985). The law of large numbers for non-measurable and nonseparable random elements,Astérisque 131, 299–356.

    Google Scholar 

  7. Hoffmann-Jørgensen, J. (1990). Uniform convergence of martingales.Probability in Banach spaces 7, E. Eberlein, J. Kuelbs, and M. Marcus (eds.), Birkhäuser Boston,Progress in Probability 21, 258–272.

    Google Scholar 

  8. Moore, C. N. (1938).Summable Series and Convergence Factors. Amer. Math. Soc., New York, Inc.

    Google Scholar 

  9. Móricz, F. (1979). On the convergence in a restricted sense of multiple series.Analysis Math. 5, 135–147.

    Google Scholar 

  10. Neveu, J. (1975).Discrete Parameter Martingales. North Holland Publ. Co. and American Elsevier Publ. Co.

  11. Peškir, G. (1991). Perfect measures and maps. Institute of Mathematics, University of Aarhus, Preprint Series No. 26, 34p.

  12. Peškir, G. (1991). Vitali convergence theorem for upper integrals. Institute of Mathematics, University of Aarhus, Preprint Series No. 28, 14 p.

  13. Peškir, G. (1992). Consistency of statistical models described by families of reversed submartingales. Institute of Mathematics, University of Aarhus, Preprint Series No. 9, 26p.

  14. Talagrand, M. (1987). The Glivenko-Cantelli problem.Ann. Prob. 15, 837–870.

    Google Scholar 

  15. Vapnik, V. N., and Chervonenkis, A. Ya. (1981). Necessary and sufficient conditions for the uniform convergence of means to their expectations,Theory Prob. Appl. 26, 532–553.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

About this article

Cite this article

Peškir, G. Uniform convergence of reversed martingales. J Theor Probab 8, 387–415 (1995). https://doi.org/10.1007/BF02212885

Download citation

  • Received:

  • Issue Date:

  • DOI: https://doi.org/10.1007/BF02212885

Key Words

Navigation