Skip to main content

Convergence of Atomic Markov Chains

  • Chapter
  • First Online:
Book cover Markov Chains

Abstract

The main object of this chapter is to prove the convergence of the iterates of a positive recurrent atomic Markov kernel to its invariant probability measure. This will be done by two different methods: application of renewal theory and coupling techniques.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD 49.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Randal Douc .

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer Nature Switzerland AG

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Douc, R., Moulines, E., Priouret, P., Soulier, P. (2018). Convergence of Atomic Markov Chains. In: Markov Chains. Springer Series in Operations Research and Financial Engineering. Springer, Cham. https://doi.org/10.1007/978-3-319-97704-1_8

Download citation

Publish with us

Policies and ethics