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Gaussian and non-Gaussian random fields associated with Markov processes. (English) Zbl 0533.60061
To every Markov process with a symmetric transition density, there correspond two random fields over the state space: a Gaussian field (the free field) $$\Phi$$ and the occupation field T which describes the amount of time the particle spends at each state. The relation between the fields $$\Phi$$ and T was established in the author’s paper, ibid. 50, 167- 187 (1983; Zbl 0522.60078), for the case of finite or countable index space. It is extended to the general case which covers, in particular, the fields associated with the Brownian motion.
Reviewer: Y.Asoo

##### MSC:
 60G60 Random fields 81P20 Stochastic mechanics (including stochastic electrodynamics)
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##### References:
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