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On coupling of diffusion processes

Published online by Cambridge University Press:  14 July 2016

Torgny Lindvall*
Affiliation:
University of Göteborg
*
Postal address: Department of Mathematics, University of Göteborg, 412 96 Göteborg, Sweden.

Abstract

The coupling method is well fitted to be used in the study of the asymptotics of one-dimensional diffusion processes. We give an elementary proof of Orey's theorem in the recurrent case, and establish rate results for tendency towards equilibrium under moment conditions on the speed measure and the initial distributions.

Type
Research Papers
Copyright
Copyright © Applied Probability Trust 1983 

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References

[1] Breiman, L. (1968) Probability. Addison-Wesley, Reading, MA.Google Scholar
[2] Freedman, D. (1971) Brownian Motion and Diffusion. Holden-Day, San Francisco.Google Scholar
[3] Fristedt, B. and Orey, S. (1978) The tail s-field of one-dimensional diffusions. In Stochastic Analysis, Academic Press, New York, 127138.Google Scholar
[4] Gichman, I. I. and Skorochod, A. W. (1971) Stochastische Differentialgleichungen. Akademie-Verlag, Berlin.Google Scholar
[5] Griffeath, D. (1978) Coupling methods for Markov processes. In Advances in Mathematics Supplementary Studies 2: Studies in Probability and Ergodic Theory, 143.Google Scholar
[6] Küchler, U. and Lunze, U. (1980) On the tail s-field and the minimal parabolic functions for one-dimensional quasi-diffusions. Z. Wahrscheinlichkeitsth. 51, 303322.Google Scholar
[7] Lindvall, T. (1979) A note on coupling of birth and death processes. J. Appl. Prob 16 505512.CrossRefGoogle Scholar
[8] Mandl, P. (1968) Analytical Treatment of One-Dimensional Markov Processes. Springer-Verlag, Berlin.Google Scholar
[9] Pitman, J. W. (1974) Uniform rates of convergence for Markov chain transition probabilities. Z. Wahrscheinlichkeitsth. 29, 193227.CrossRefGoogle Scholar
[10] Rösler, U. (1979) The tail s-field of time-homogeneous one-dimensional diffusion processes. Ann. Prob. 7, 847857.Google Scholar
[11] Watanabe, H. and Motoo, M. (1958) Ergodic property of recurrent diffusion processes. J. Math. Soc. Japan 10, 271286.Google Scholar