Abstract
We prove a functional central limit theorem for stationary random sequences given by the transformations Tε,ω(x,y) = (2x,y + ω + εx) mod 1 on the two-dimensional torus. This result is based on a functional central limit theorem for ergodic stationary martingale differences with values in a separable Hilbert space of square integrable functions.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 1-16 |
| Number of pages | 16 |
| Journal | Probability Theory and Related Fields |
| Volume | 111 |
| Issue number | 1 |
| DOIs | |
| State | Published - May 1998 |
All Science Journal Classification (ASJC) codes
- Analysis
- Statistics and Probability
- Statistics, Probability and Uncertainty
Fingerprint
Dive into the research topics of 'The central limit theorem for random perturbations of rotations'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver