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Multiparameter Markov Processes and Capacity

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Part of the book series: Progress in Probability ((PRPR,volume 45))

Abstract

This survey is essentially based on our papers [13] and [14]. In the first section, we shall present our definition of symmetric multiparameter Markov processes and introduce the capacities associated with them. This definition is the starting point of our study, but it is not sufficient to develop the whole theory. Rather than give explicitly the other assumptions which are used in the proofs, we shall present in the second section the fundamental examples for which the main results that we shall give in the third section, are valid.

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Hirsch, F., Song, S. (1999). Multiparameter Markov Processes and Capacity. In: Dalang, R.C., Dozzi, M., Russo, F. (eds) Seminar on Stochastic Analysis, Random Fields and Applications. Progress in Probability, vol 45. Birkhäuser, Basel. https://doi.org/10.1007/978-3-0348-8681-9_12

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  • DOI: https://doi.org/10.1007/978-3-0348-8681-9_12

  • Publisher Name: Birkhäuser, Basel

  • Print ISBN: 978-3-0348-9727-3

  • Online ISBN: 978-3-0348-8681-9

  • eBook Packages: Springer Book Archive

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