Upward and Downward Runs on Partially Ordered Sets
Kyle Siegrist

TL;DR
This paper studies Markov chains on partially ordered sets, providing conditions for recurrence and transience, and deriving invariant distributions, with applications to various special cases like trees and semigroups.
Contribution
It introduces new conditions for recurrence and transience of Markov chains on posets and derives explicit invariant distributions for these chains.
Findings
Conditions for recurrence and transience are established.
Explicit formulas for invariant distributions are provided.
Applications to special poset structures like trees and semigroups.
Abstract
We consider Markov chains on partially ordered sets that generalize the success-runs and remaining life chains in reliability theory. We find conditions for recurrence and transience and give simple expressions for the invariant distributions. We study a number of special cases, including rooted trees, uniform posets, and posets associated with positive semigroups.
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Taxonomy
TopicsSoftware Reliability and Analysis Research · Reliability and Maintenance Optimization · Statistical Distribution Estimation and Applications
