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Teoriya Veroyatnostei i ee Primeneniya, 1970, Volume 15, Issue 1, Pages 38–55 (Mi tvp1548)  

This article is cited in 2 scientific papers (total in 2 papers)

Excessive functions and the exit-space of a Markov process

E. B. Dynkin

Moscow
Abstract: The Martin theory enables to describe the set of all positive superharmonic functions in a domain of an Euclidean space. A class of excessive functions (the natural generalization of positive superharmonic functions) corresponds to any Markov process. There exist close relations between the excessive functions and the so-called exit-space of a Markov process. These topics were investigated by Doob, Hunt, Watanabe (for discrete Markov chains) and by Kunita and Watanabe (for some types of continuous-time processes). We develop a general theory which contains as special cases the results of the authors above.
Received: 24.03.1969
English version:
Theory of Probability and its Applications, 1970, Volume 15, Issue 1, Pages 37–54
DOI: https://doi.org/10.1137/1115003
Bibliographic databases:
Language: Russian
Citation: E. B. Dynkin, “Excessive functions and the exit-space of a Markov process”, Teor. Veroyatnost. i Primenen., 15:1 (1970), 38–55; Theory Probab. Appl., 15:1 (1970), 37–54
Citation in format AMSBIB
\Bibitem{Dyn70}
\by E.~B.~Dynkin
\paper Excessive functions and the exit-space of a~Markov process
\jour Teor. Veroyatnost. i Primenen.
\yr 1970
\vol 15
\issue 1
\pages 38--55
\mathnet{http://mi.mathnet.ru/tvp1548}
\mathscinet{http://mathscinet.ams.org/mathscinet-getitem?mr=267641}
\zmath{https://zbmath.org/?q=an:0234.60090}
\transl
\jour Theory Probab. Appl.
\yr 1970
\vol 15
\issue 1
\pages 37--54
\crossref{https://doi.org/10.1137/1115003}
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  • https://www.mathnet.ru/eng/tvp1548
  • https://www.mathnet.ru/eng/tvp/v15/i1/p38
  • This publication is cited in the following 2 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    Теория вероятностей и ее применения Theory of Probability and its Applications
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