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Many queueing models have embedded Markov chains, whose invariant probability vector is of a (modified) matrix-geometric form. The rate matrix R is shown to have the following probabilistic interpretation: The element R vj is the expected number of visits to the state ( i + 1, j ), before the first return to the set i = {( i , 1), …,( i, m )}, in a chain starting in the state ( i , v ).
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Marcel F. Neuts (1980) studied this question.
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