Ray-Knight compactification of birth and death processes
Liping Li

TL;DR
This paper introduces a novel approach using Ray-Knight compactification to analyze birth and death processes, unifying analytic and probabilistic methods and clarifying boundary behaviors at infinity.
Contribution
It develops a new framework applying Ray-Knight compactification to birth and death processes, providing explicit generator expressions and probabilistic constructions.
Findings
Every birth and death process can be modified into a cle0g Ray process.
Processes in the second class have a Feller process modification on an extended state space.
The paper derives explicit infinitesimal generator expressions and boundary behavior explanations.
Abstract
A birth and death process is a continuous-time Markov chain with the minimal state space , whose transition matrix is standard and whose density matrix is the given birth-death matrix. Birth and death process is unique if and only if is an entrance or natural. When is neither an entrance nor natural, there are two ways in the literature to obtain all birth and death processes. The first one is an analytic treatment proposed by Feller in 1959, and the second one is a probabilistic construction completed by Wang in 1958. In this paper we will give another way to study birth and death processes using the Ray-Knight compactification. This way has the advantage of both the analytic and probabilistic treatments above. By applying the Ray-Knight compactification, every birth and death process can be modified into a c\`adl\`ag Ray process on $\mathbb N\cup…
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Taxonomy
TopicsMarkov Chains and Monte Carlo Methods · Random Matrices and Applications · Matrix Theory and Algorithms
