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Computing stationary probability distributions and large deviation rates for constrained random walks.: the undecidability results.

Published:01 December 2002Publication History
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Abstract

Our model is a constrained homogeneous random walk in Z+d. The convergence to stationarity for such a random walk can often be checked by constructing a Lyapunov function. The same Lyapunov function can also be used for computing approximately the stationary distribution of this random walk, using methods developed in [11]. In this paper we show that computing exactly the stationary probability for this type of random walks is an undecidable problem: no algorithm can exist to achieve this task. We then prove that computing large deviation rates for this model is also an undecidable problem. We extend these results to a certain type of queueing systems. The implication of these results is that no useful formulas for computing stationary probabilities and large deviations rates can exist in these systems.

References

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  • Published in

    cover image ACM SIGMETRICS Performance Evaluation Review
    ACM SIGMETRICS Performance Evaluation Review  Volume 30, Issue 3
    December 2002
    42 pages
    ISSN:0163-5999
    DOI:10.1145/605521
    Issue’s Table of Contents

    Copyright © 2002 Author

    Publisher

    Association for Computing Machinery

    New York, NY, United States

    Publication History

    • Published: 1 December 2002

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