This article is cited in 1 paper

On Families of Random Transitions

N. N. Vorob'yev

Leningrad

Abstract: It is important, for game-theoretical purposes to extend the notion of Markov transition probabilities to the case of consistent families of measures. To the families of random transitions is applicable the notion of consistency and hence, that of extensibility.
Theorem. {\it Regularity of the complex ${\mathfrak{K}}$ is the necessary and sufficient condition of extensibility of any consistent family of random transitions connected with the complex ${\mathfrak{K}}$.}
Some random transitions and their families can be obtained as limits of sequences of conditional probabilities obtained from consistent families of probability measures. The set of such families of random transitions is described and a criterion whether a family of random transitions belongs to this set is given.

Received: 30.10.1962

 English version: Theory of Probability and its Applications, 1964, 9:1, 47–64

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