Book contents
- Frontmatter
- Contents
- Preface
- Acknowledgments
- Notation
- Part I Tools and Theory
- 1 Background
- 2 Martingales
- 3 Markov Chains
- 4 Networks and Discrete Analysis
- Part II Results and Applications
- Appendices
- Appendix A Hilbert Space Background
- Appendix B Entropy
- Appendix C Coupling and Total Variation
- References
- Index
3 - Markov Chains
from Part I - Tools and Theory
Published online by Cambridge University Press: 16 May 2024
- Frontmatter
- Contents
- Preface
- Acknowledgments
- Notation
- Part I Tools and Theory
- 1 Background
- 2 Martingales
- 3 Markov Chains
- 4 Networks and Discrete Analysis
- Part II Results and Applications
- Appendices
- Appendix A Hilbert Space Background
- Appendix B Entropy
- Appendix C Coupling and Total Variation
- References
- Index
Summary
In this chapter the basic theory of Markov chains is developed, with a focus on irreducible chains.The transition matrix is introduced as well as the notions of irreducibility, periodicity, recurrence (null and positive), and transience.The theory is applied to the relationship of a random walk on a group to the random walk on a finite-index subgroup induced by the "hitting measure."
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- Harmonic Functions and Random Walks on Groups , pp. 75 - 116Publisher: Cambridge University PressPrint publication year: 2024