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Information Flow in Some Classes of Markov Systems
D. A. Dawson
Journal of Applied Probability
Vol. 11, No. 3 (Sep., 1974), pp. 594-600
Published by: Applied Probability Trust
Stable URL: http://www.jstor.org/stable/3212706
Page Count: 7
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The information flow in discrete Markov systems provides a method for determining that such a system is ergodic. Estimates are obtained for the information flow in some classes of Markov systems and using these estimates criteria for the ergodicity of the systems are established.
Journal of Applied Probability © 1974 Applied Probability Trust