Author:
Newton Jonathan,Sandholm William H.
Abstract
<p style='text-indent:20px;'>Recently, there has been a revival of interest in cyclic decompositions of stochastic dynamics. These decompositions consider the behavior of dynamics over the short, medium and long run, aggregating cycles of behavior into progressively larger cycles, eventually encompassing the entire state space. We show that these decompositions are equivalent to the aggregative stage of Edmonds' algorithm and that this equivalence can be used to recover well-known results in the literature.</p>
Publisher
American Institute of Mathematical Sciences (AIMS)
Subject
Applied Mathematics,Modeling and Simulation,Statistics and Probability,Applied Mathematics,Modeling and Simulation,Statistics and Probability
Cited by
3 articles.
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