Probability Theory and Related Fields

, Volume 97, Issue 1–2, pp 179–193 | Cite as

Large deviations for empirical measures with degenerate limiting distribution

  • Terence Chan
Article
  • 75 Downloads

Summary

This paper studies the large deviations of the empirical measure associated withn independent random variables with a degenerate limiting distribution asn→∞. A large deviations principle — quite unlike the classical Sanov type results — is established for such empirical measures in a general Polish space setting. This result is applied to the large deviations for the empirical process of a system of interacting particles, in which the diffusion coefficient vanishes as the number of particles tends to infinity. A second way in which the present example differs from previous work on similar weakly interacting systems is that there is a singularity in the mean-field type interaction.

Mathematics Subject Classification (1991)

60F10 

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References

  1. 1.
    Bahadur, R. R., Zabell, S. L.: Large deviations of the sample mean in general vector spaces. Ann. Probab.7, 587–621 (1979)Google Scholar
  2. 2.
    Chan, T.: The Wigner semi-circle law and eigenvalues of matrix-valued diffusions. Probab. Theory Relat. Fields93, 249–272 (1992)Google Scholar
  3. 3.
    Cutland, N. J.: An extension of the Ventcell-Freidlin large deviation principle. Stochastics24 (2), 121–149 (1988)Google Scholar
  4. 4.
    Dawson, D. A., Gärtner, J.: Large deviations from the McKean—Vlasov limit for weakly interacting diffusions. Stochastics20, 247–308 (1987)Google Scholar
  5. 5.
    Dawson, D. A., Gärtner, J.: Long time behaviour of interacting diffusions. In: Norris, J. R. (ed.). Stochastic calculus in application: Proceedings of the Cambridge Symposium 1987. (Pitman Res. Notes Maths. Ser., vol. 197, pp. 29–54) Harlow: Longman 1988Google Scholar
  6. 6.
    Deuschel, J.-D., Stroock, D. W.: Large deviations, London New York: Academic Press 1989Google Scholar
  7. 7.
    Freidlin, M. I., Wentzell, A. D.: Random perturbations of dynamical systems. Berlin Heidelberg New York: Springer 1984Google Scholar
  8. 8.
    Tanaka, H.: Limit theorems for certain diffusion processes with interaction. In: Kô, K. (ed.) Stochastic analysis: Proceedings of the Taniguchi International Symposium, 1982, pp. 469–488. Amsterdam: North-Holland 1984Google Scholar

Copyright information

© Springer-Verlag 1993

Authors and Affiliations

  • Terence Chan
    • 1
  1. 1.Department of Actuarial Mathematics and StatisticsHeriot-Watt UniversityEdinburghUK

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