Abstract
Matrix differences and integral equations are introduced for the description of finite-valued non markovian random processes. In a special case we deduce an integral equation of a semi-Markov process. Necessary conditions are found for a semi-Markov process to be markovian. A generalized understanding of a semi-Markov random process is offered.
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