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A note on the inverse problem for reducible Markov chains

Published online by Cambridge University Press:  14 July 2016

A. O. Pittenger*
Affiliation:
University of Maryland, Baltimore County

Abstract

Suppose a physical process is modelled by a Markov chain with transition probability on S1S2, S1 denoting the transient states and S2 a set of absorbing states.

If v denotes the output distribution on S2, the question arises as to what input distributions (of raw materials) on S1 produce v. In this note we give an alternative to the formulation of Ray and Margo [2] and reduce the problem to one system of linear inequalities. An application to random walk is given and the equiprobability case examined in detail.

Type
Short Communications
Copyright
Copyright © Applied Probability Trust 1977 

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References

[1] Balinski, M. L. (1961) An algorithm for finding all vertices of convex polyhedral sets. SIAM J. 9, 7288.Google Scholar
[2] Ray, W. D. and Margo, F. (1976) The inverse problem in reducible Markov chains. J. Appl. Prob. 13, 4956.CrossRefGoogle Scholar
[3] Ray, W. D. (1976) Specifying absorption probabilities for simple random walk. Stoch. Proc. Appl. 4, 243252.CrossRefGoogle Scholar