Applying Brownian motion to the study of birth-death chains
Greg Markowsky

TL;DR
This paper leverages Brownian motion properties to analyze birth-death chains, deriving extinction probabilities and conditions for expected value convergence, with local time theory playing a key role.
Contribution
It introduces a novel application of Brownian motion to derive key properties of birth-death chains, including extinction probability and convergence conditions.
Findings
Calculated extinction probabilities for birth-death chains
Established conditions for expected value convergence
Utilized Brownian motion local time in proofs
Abstract
Basic properties of Brownian motion are used to derive two results concerning birth-death chains. First, the probability of extinction is calculated. Second, sufficient conditions on the transition probabilities of a birth-death chain are given to ensure that the expected value of the chain converges to a limit. The theory of Brownian motion local time figures prominently in the proof of the second result.
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Taxonomy
TopicsStochastic processes and statistical mechanics · Bayesian Methods and Mixture Models · Markov Chains and Monte Carlo Methods
