The fractal uncertainty principle via Dolgopyat’smethod in higher dimensions
We prove a fractal uncertainty principle with exponent 1 2 d + , > 0, for Ahlfors-David regular subsets of d with dimension which satisfy a suitable "nonorthogonality condition".This generalizes the application of Dolgopyat's method by Dyatlov and Jin (2018) to higher dimensions.As a corollary, we get a quantitative essential spectral gap for the Laplacian on convex cocompact hyperbolic manifolds of arbitrary dimension with Zariski-dense fundamental groups.
Authors
- Zhongkai Tao
- James Leng
- Aidan Backus (ORCID: https://orcid.org/0000-0002-9497-7052)
Institutions
- University of California, Los Angeles (US)
- Brown University (US)
- University of California, Berkeley (US)
Publication Details
- Journal
- Analysis & PDE
- Published
- 2025-06-13
- DOI
- https://doi.org/10.2140/apde.2025.18.1769
- Primary Topic
- Mathematical Dynamics and Fractals
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Science Foundation