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2 - Continuous-Time Markov Chains

Published online by Cambridge University Press:  26 June 2026

Jan M. Swart
Affiliation:
Academy of Sciences of the Czech Republic, Prague
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Summary

This chapter treats the basic theory of continuous-time Markov processes with countable state space. After recalling (without proof) the standard textbook theory for finite state spaces, three constructions on infinite spaces are discussed in detail: the construction via the embedded Markov chain, the generator construction, and Poisson constructions. It is shown how Lyapunov functions can be used to prove that a continuous-time Markov chain is nonexplosive. This is applied together with the Poisson construction to construct some interacting particle systems for finite initial conditions only, preparing for the general existence and uniqueness results of Chapter 4.

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  • Continuous-Time Markov Chains
  • Jan M. Swart, Academy of Sciences of the Czech Republic, Prague
  • Book: A Course in Interacting Particle Systems
  • Online publication: 26 June 2026
  • Chapter DOI: https://doi.org/10.1017/9781009843485.003
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  • Continuous-Time Markov Chains
  • Jan M. Swart, Academy of Sciences of the Czech Republic, Prague
  • Book: A Course in Interacting Particle Systems
  • Online publication: 26 June 2026
  • Chapter DOI: https://doi.org/10.1017/9781009843485.003
Available formats
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Save book to Google Drive

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.

  • Continuous-Time Markov Chains
  • Jan M. Swart, Academy of Sciences of the Czech Republic, Prague
  • Book: A Course in Interacting Particle Systems
  • Online publication: 26 June 2026
  • Chapter DOI: https://doi.org/10.1017/9781009843485.003
Available formats
×