Coupling and Ergodic Theorems for General Markov Chains
Dmitrii Silvestrov
Additional contact information
Dmitrii Silvestrov: Stockholm University, Department of Mathematics
Chapter Chapter 4 in Coupling and Ergodic Theorems for Semi-Markov-Type Processes I, 2025, pp 141-165 from Springer
Abstract:
Abstract In Chap. 10.1007/978-3-031-89311-7_4 , we present ergodic theorems with explicit exponential upper bounds for convergence rates for discrete-time, homogeneous Markov chains with general state spaces. The coefficients of ergodicity, which play a key role in ergodic theorems, are introduced, and the corresponding maximal coupling constructions are described. Ergodic theorems with exponential upper bounds for convergence rates for general Markov chains are obtained using the coupling method. Modifications of these ergodic theorems for Markov chains with transition distribution possessing absolutely continuous components are also given.
Date: 2025
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-031-89311-7_4
Ordering information: This item can be ordered from
http://www.springer.com/9783031893117
DOI: 10.1007/978-3-031-89311-7_4
Access Statistics for this chapter
More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().