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Kolmogorov’s equations for jump Markov processes with unbounded jump rates

  • Indian School of Business
  • Steklov Mathematical Institute of RAS

Research output: Contribution to journalArticlepeer-review

8 Scopus citations

Abstract

As is well-known, transition probabilities of jump Markov processes satisfy Kolmogorov’s backward and forward equations. In the seminal 1940 paper, William Feller investigated solutions of Kolmogorov’s equations for jump Markov processes. Recently the authors solved the problem studied by Feller and showed that the minimal solution of Kolmogorov’s backward and forward equations is the transition probability of the corresponding jump Markov process if the transition rate at each state is bounded. This paper presents more general results. For Kolmogorov’s backward equation, the sufficient condition for the described property of the minimal solution is that the transition rate at each state is locally integrable, and for Kolmogorov’s forward equation the corresponding sufficient condition is that the transition rate at each state is locally bounded.

Original languageEnglish
Pages (from-to)587-604
Number of pages18
JournalAnnals of Operations Research
Volume317
Issue number2
DOIs
StatePublished - Oct 2022

Keywords

  • Boundedness condition
  • Jump Markov process
  • Kolmogorov’s equation
  • Minimal solution
  • Transition function
  • Unbounded transition rates

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