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Absolute Continuity and the Fine Topology

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Seminar on Stochastic Processes, 1981

Part of the book series: Progress in Probability and Statistics ((PRPR,volume 1))

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Abstract

One of the basic contrasts between the classical and axiomatic theories on the one hand and their probabilistic analogues on the other is that many of the underlying hypotheses of the former are topological, and of the latter, measure-theoretical. A case in point is the regularity of excessive functions, which is assured in the classical and axiomatic settings by assuming lower semi-continuity, and in the probabilistic setting by assuming much weaker conditions such as the absolute continuity condition (hypothesis (L) of Meyer).

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References

  1. R.M. BLUMENTHAL and R.K. GETOOR (1968). Markov Processes and Potential Theory, Academic Press, New York.

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  2. R. GETOOR (1975). Markov Processes: Ray Processes and Right Processes. Lecture Notes in Mathematics 440. Springer-Verlag, Berlin.

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  3. P.A. MEYER (1962). Functionelles multiplicatives et additive de Markov. Ann. Inst. Fourier, 12, 125–130.

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  4. J. WALSH and P.A. MEYER (1971). Quelques applications des resolvante de Ray. Invent. Math. 14, 143–166.

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© 1981 Birkhäuser Boston

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Walsh, J., Winkler, W. (1981). Absolute Continuity and the Fine Topology. In: Çinlar, E., Chung, K.L., Getoor, R.K. (eds) Seminar on Stochastic Processes, 1981. Progress in Probability and Statistics, vol 1. Birkhäuser Boston. https://doi.org/10.1007/978-1-4612-3938-3_7

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  • DOI: https://doi.org/10.1007/978-1-4612-3938-3_7

  • Publisher Name: Birkhäuser Boston

  • Print ISBN: 978-0-8176-3072-0

  • Online ISBN: 978-1-4612-3938-3

  • eBook Packages: Springer Book Archive

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