Abstract
Consider an ergodic Markov chain on a countable state space for which the return times have exponential tails. We show that the stationary version of any such chain is a finitary factor of an independent and identically distributed (i.i.d.) process. A key step is to show that any stationary renewal process whose jump distribution has exponential tails and is not supported on a proper subgroup of is a finitary factor of an i.i.d. process.
| Original language | English |
|---|---|
| Pages (from-to) | 2918-2926 |
| Number of pages | 9 |
| Journal | Ergodic Theory and Dynamical Systems |
| Volume | 41 |
| Issue number | 10 |
| DOIs | |
| State | Published - Oct 2021 |
| Externally published | Yes |
Keywords
- Factor of iid
- Finitary coding
- Markov chain
- Random dynamics
- Symbolic dynamics
All Science Journal Classification (ASJC) codes
- Applied Mathematics
- General Mathematics