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Ergodic path properties of processes with stationary increments

Published online by Cambridge University Press:  09 April 2009

Offer Kella
Affiliation:
Department of Statistics, The Hebrew University of Jerusalem, Mount Scopus, Jerusalem 91905, Israel e-mail: offer.kella@huji.ac.il
Wolfgang Stadje
Affiliation:
Department of Mathematics, and Computer Science, University of Osnabrück, 49069 Osnabrück, 49069 Osnabrück, Germany e-mail: wolfgang@mathematik.uni-osnabrueck.de
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Abstract

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For a real-valued ergodic process X with strictly stationary increments satisfying some measurability and continuity assumptions it is proved that the long-run ‘average behaviour’ of all its increments over finite intervals replicates the distribution of the corresponding increments of X in a strong sense. Moreover, every Lévy process has a version that possesses this ergodic path property.

Type
Research Article
Copyright
Copyright © Australian Mathematical Society 2002

References

[1]Bertoin, J., Lévy processes (Cambridge University Press, Cambridge, 1996).Google Scholar
[2]Chung, K. L., A course in probability theory (Harcourt, Brace & World, New York, 1968).Google Scholar
[3]Doob, J. L., Stochastic processes (Wiley, New York, 1953).Google Scholar
[4]Fristedt, B., ‘Sample functions of stochastic processes with stationary independent increments’, in: Advances in probability and related topics, Vol. 3 (eds. Ney, P. and port, S.) (Dekker, New York, 1974) pp. 241396.Google Scholar
[5]Hartman, P. and Wintner, A., ‘On the infinitesimal generator of integral convolutions’, Amer. J. Math 64 (1942), 273298.CrossRefGoogle Scholar
[6]Stadje, W., ‘Two ergodic sample-path properties of the Poisson process’, J. Theor. Probab. 11 (1998), 197208.CrossRefGoogle Scholar
[7]Stidham, S. and El-Taha, M., ‘Sample-path techniques in queueing theory,’ in: Advances in queueing (ed. Dshalalow, J. W.) CRC Press, Boca Raton, (1998) pp. 119166.Google Scholar
[8]Stroock, D. W., Probability theory: an analytic view (Cambridge University Press, Cambridge, 1992).Google Scholar