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).
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
R.M. BLUMENTHAL and R.K. GETOOR (1968). Markov Processes and Potential Theory, Academic Press, New York.
R. GETOOR (1975). Markov Processes: Ray Processes and Right Processes. Lecture Notes in Mathematics 440. Springer-Verlag, Berlin.
P.A. MEYER (1962). Functionelles multiplicatives et additive de Markov. Ann. Inst. Fourier, 12, 125–130.
J. WALSH and P.A. MEYER (1971). Quelques applications des resolvante de Ray. Invent. Math. 14, 143–166.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 1981 Birkhäuser Boston
About this chapter
Cite this chapter
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
Download citation
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