PreprintarXiv licencearXiv
Intersections of quantitative recurrence and badly approximable sets for expanding Markov maps
Abstract
We study a class of expanding Markov maps on the unit interval, which includes sofic β-transformations, Gauss maps, tent maps and cookie-cutter maps. We investigate the quantitative recurrence property for points that are dynamically badly approximable, namely, points whose orbits eventually remain a positive distance from a given point. We show that the Hausdorff dimension of the intersection of a recurrence set and a badly approximable set is determined by the same pressure function as that of the corresponding recurrence set. We further obtain the Hausdorff dimensions of two related intersections: recurrence sets with non-recurrent sets, and shrinking target sets with badly approximable sets.
Related
- Strong Positive Recurrence for Strongly Entropy Expanding Maps
- Recurrence and Uniqueness Criteria for Markov Processes from Moments of Integral-Type Functionals
- Quantitative Convergence of Markov Equilibria for Time-Inconsistent Controlled Diffusions
- Quantitative averaging of Markov-modulated additive functionals and Wentzell boundary homogenization
- Fourier dimension for exactly approximable matrices
BibTeX
@misc{liao2026intersections,
title = {{Intersections of quantitative recurrence and badly approximable sets for expanding Markov maps}},
author = {Lingmin Liao and Na Yuan},
howpublished = {arXiv},
year = {2026},
month = oct,
doi = {10.48550/arxiv.2610.12258},
eprint = {2610.12258},
archivePrefix = {arXiv},
url = {https://arxiv.org/abs/2610.12258},
}
RIS
TY - UNPB
TI - Intersections of quantitative recurrence and badly approximable sets for expanding Markov maps
AU - Lingmin Liao
AU - Na Yuan
PY - 2026
DA - 2026/10/08
PB - arXiv
DO - 10.48550/arxiv.2610.12258
UR - https://arxiv.org/abs/2610.12258
AB - We study a class of expanding Markov maps on the unit interval, which includes sofic β-transformations, Gauss maps, tent maps and cookie-cutter maps. We investigate the quantitative recurrence property for points that are dynamically badly approximable, namely, points whose orbits eventually remain a positive distance from a given point. We show that the Hausdorff dimension of the intersection of a recurrence set and a badly approximable set is determined by the same pressure function as that of the corresponding recurrence set. We further obtain the Hausdorff dimensions of two related intersections: recurrence sets with non-recurrent sets, and shrinking target sets with badly approximable sets.
ER -