Bounds on the rate of convergence for Mxt/MXt/1 queueing models

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Abstract

We apply the method of differential inequalities for the computation of upper bounds for the rate of convergence to the limiting regime for one specific class of (in)homogeneous continuous-time Markov chains. Such an approach seems very general; the corresponding description and bounds were considered earlier for finite Markov chains with analytical in time intensity functions. Now we generalize this method to locally integrable intensity functions. Special attention is paid to the situation of a countable Markov chain. To obtain these estimates, we investigate the corresponding forward system of Kolmogorov differential equations as a differential equation in the space of sequences l1.

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Zeifman, A., Satin, Y., & Sipin, A. (2021). Bounds on the rate of convergence for Mxt/MXt/1 queueing models. Mathematics, 9(15). https://doi.org/10.3390/math9151752

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