Invariant measures and error bounds for random walks in the quarter-plane based on sums of geometric terms
Yanting Chen, Richard J. Boucherie, Jasper Goseling

TL;DR
This paper develops algorithms to determine when the invariant measure of a homogeneous random walk in the quarter-plane is a sum of geometric terms, and provides approximation schemes with error bounds for cases when it is not.
Contribution
It introduces an algorithm to verify if the invariant measure is a sum of geometric terms and offers explicit forms and approximation methods for other cases.
Findings
Algorithm to check geometric sum invariant measures
Explicit form of invariant measure when it is a sum of geometric terms
Error bounds for performance measures in non-geometric cases
Abstract
We consider homogeneous random walks in the quarter-plane. The necessary conditions which characterize random walks of which the invariant measure is a sum of geometric terms are provided in [2,3]. Based on these results, we first develop an algorithm to check whether the invariant measure of a given random walk is a sum of geometric terms. We also provide the explicit form of the invariant measure if it is a sum of geometric terms. Secondly, for random walks of which the invariant measure is not a sum of geometric terms, we provide an approximation scheme to obtain error bounds for the performance measures. Finally, some numerical examples are provided.
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Taxonomy
TopicsProbability and Risk Models · Advanced Queuing Theory Analysis · Mathematical Approximation and Integration
