Exit Probabilities and Balayage of Constrained Random Walks
Ali Devin Sezer

TL;DR
This paper introduces a new analytical method to approximate exit probabilities of constrained random walks, especially in queueing networks, using harmonic functions and boundary transformations, providing explicit formulas and broader applicability.
Contribution
The authors develop a novel approach combining affine transformations and harmonic functions to approximate exit probabilities and expectations for constrained random walks, extending beyond large deviations methods.
Findings
Derived explicit formulas for exit probabilities in tandem queues
Extended the method to approximate the Balayage operator in 2D
Connected the approach to more general processes and boundaries
Abstract
Let be the constrained random walk on representing the queue lengths of a stable Jackson network and its initial position. Let be the first time the sum of the components of equals . is a key performance measure for the queueing system represented by , stability implies exponentially. Currently the only analytic method available to approximate is large deviations analysis, which gives the exponential decay rate of . Finer results are available via rare event simulation. The present article develops a new method to approximate and related expectations. The method has two steps: 1) with an affine transformation, move the origin onto the exit boundary of , take limits to remove some of the constraints on the dynamics, this yields a limit unstable constrained walk …
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Taxonomy
TopicsProbability and Risk Models · Stochastic processes and statistical mechanics · Simulation Techniques and Applications
