Martingale Methods for Maximal Large Deviations and Young Towers
Fuente:
arXiv
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| Autores principales: | , , |
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| Formato: | Preprint |
| Publicado: |
2026
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| Acceso en línea: | |
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| _version_ | 1866915989012086784 |
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| author | Alves, José F. Matias, João S. Melbourne, Ian |
| author_facet | Alves, José F. Matias, João S. Melbourne, Ian |
| contents | We develop a martingale approximation framework yielding quantitative maximal large deviations estimates for invertible dynamical systems. From suitable decay of correlations, we deduce these estimates and, as an application, we obtain Young structures with matching recurrence tails for partially hyperbolic diffeomorphisms with mostly expanding central direction. In a second application, we prove maximal large deviation estimates for systems modelled by Young towers with subexponential contraction and expansion. Many examples of slowly mixing billiards are covered by this result. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2605_05968 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Martingale Methods for Maximal Large Deviations and Young Towers Alves, José F. Matias, João S. Melbourne, Ian Dynamical Systems Probability We develop a martingale approximation framework yielding quantitative maximal large deviations estimates for invertible dynamical systems. From suitable decay of correlations, we deduce these estimates and, as an application, we obtain Young structures with matching recurrence tails for partially hyperbolic diffeomorphisms with mostly expanding central direction. In a second application, we prove maximal large deviation estimates for systems modelled by Young towers with subexponential contraction and expansion. Many examples of slowly mixing billiards are covered by this result. |
| title | Martingale Methods for Maximal Large Deviations and Young Towers |
| topic | Dynamical Systems Probability |
| url | https://arxiv.org/abs/2605.05968 |