The embedding problem for Markov chains with three states

Author:

Frydman Halina

Abstract

In this paper we consider the embedding problem for Markov chains with three states. A non-singular stochastic matrix P is called embeddable if there exists a two-parameter family of stochastic matricessatisfyingand such thatThough extensive characterizations of embeddable n × n stochastic matrices have been given in (l), (2), (3), (6), and further characterizations of embeddable 3 × 3 stochastic matrices in (4), they do not provide, except in the case of 2 × 2 stochastic matrices, easily applicable necessary and sufficient conditions for embeddability.

Publisher

Cambridge University Press (CUP)

Subject

General Mathematics

Reference7 articles.

1. The combinatorial structure of non-homogeneous Markov chains

2. (4) Johansen S. and Ramsey F. L. A representation theorem for imbeddable 3 × 3 stochastic matrices (1973). Preprint no. 5, Institute of Mathematical Statistics, University of Copenhagen.

3. A central limit theorem for finite semigroups and its application to the imbedding problem for finite state Markov chains

4. A Bang-Bang representation for 3�3 embeddable stochastic matrices

5. The Bang-Bang problem for stochastic matrices

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