Potentials of skip-free Markov chains
Wendi Li, Jinpeng Liu, Yuanyuan Liu

TL;DR
This paper explores the potentials of upward and downward skip-free Markov chains using truncation techniques, with applications to queue models and extensions to continuous-time chains.
Contribution
It introduces a novel approach to compute potentials of skip-free Markov chains and applies these results to queueing systems and continuous-time models.
Findings
Derived explicit potential formulas for discrete-time skip-free chains.
Extended potential analysis to continuous-time skip-free Markov chains.
Applied potential theory to queueing models like GI/M/1 and M/G/1.
Abstract
Potential theory has important applications in various fields such as physics, finance, and biology. In this paper, we investigate the potentials of two classic types of discrete-time skip-free Markov chains: upward skip-free and downward skip-free Markov chains. The key to deriving these potentials lies in the use of truncation approximation techniques. The results are then applied to GI/M/1 queues and M/G/1 queues, and further extended to continuous-time skip-free Markov chains.
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Taxonomy
TopicsMarkov Chains and Monte Carlo Methods
