Boolean algebraic methods in Markov chains
Classification of the state space of finite-dimensional Markov chains (discrete time parameter) is considered using classical algebraic techniques and Boolean algebraic methods.
The validity of using Boolean methods is shown. Computational procedures for such classification using both the methods are illustrated by some examples and compared.
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