Skip to main content
Log in

Exponential Convergence in Probability for Empirical Means of Brownian Motion and of Random Walks

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

Abstract

Given a Brownian motion (B t) t≥0 in R d and a measurable real function f on R d belonging to the Kato class, we show that 1/t ∫ t0 f(B s ) ds converges to a constant z with an exponential rate in probability if and only if f has a uniform mean z. A similar result is also established in the case of random walks.

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. Chung, K. L., and Zhao, Z. X. (1995). From Brownian Motion to Schrödinger's Equations, Grundlehren der mathematischen Wissenschaften 312, Springer-Verlag.

  2. de Acosta, A. (1988). Large deviations for vector valued additive functionals of a Markov process: Lower bound. Ann. Prob. 16, 925–960.

    Google Scholar 

  3. Deuschel, J. D., and Stroock, D. W. (1989). Large deviations, Pure and Appl. Math. 137, Academic Press.

  4. Ellis, R. S. (1985). Large Deviations and Statistical Mechanics, Springer, Berlin.

    Google Scholar 

  5. Kahane, J. P., Peyrière P., Wen, Z. Y., and Wu, L. (1988). Moyennes uniformes et moyennes suivant une marche aléatoire. Prob. Th. Rel. Fields 79, 626–628.

    Google Scholar 

  6. Jain, N. C. (1990). Large deviations for additive functionals of Markov processes. Ann. Prob. 17(3), 1073–1098.

    Google Scholar 

  7. Simon, B. (1982). Schrödinger semigroups, Bull. Amer. Math. Soc. 7(3), 447–526.

    Google Scholar 

  8. Kato, T. (1984). Perturbation Theory For Linear Operators, Second Edition, Springer, Berlin.

    Google Scholar 

  9. Wu, L. (1991, 1992). Grandes déviations pour les processus de Markov essentiellement irréductibles. (I) temps discret, C.R.A.S.t. 312, Série I, 608–614; (II) temps continu C.R.A.S.t. 314, Série I, 941–646. (The complete versions are contained in “habilitation à diriger des recherches”, Laboratoire des probabilités, University Paris VI, 1993).

    Google Scholar 

  10. Wu, L. (1995). Moderate deviations of dependent random variables related to CLT and LIL, Ann. Prob. 23(1), 420–445.

    Google Scholar 

  11. Wu, L. (1992). Ergodic theorems for functions with uniform mean. Nankai subserie. Springer-Verlag, Lect. Notes in Math. 1494, 204–207.

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

About this article

Cite this article

Wu, L. Exponential Convergence in Probability for Empirical Means of Brownian Motion and of Random Walks. Journal of Theoretical Probability 12, 661–673 (1999). https://doi.org/10.1023/A:1021671630755

Download citation

  • Issue Date:

  • DOI: https://doi.org/10.1023/A:1021671630755

Navigation