#### Vol. 11, No. 6, 2018

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Dolgopyat's method and the fractal uncertainty principle

### Semyon Dyatlov and Long Jin

Vol. 11 (2018), No. 6, 1457–1485
##### Abstract

We show a fractal uncertainty principle with exponent $\frac{1}{2}-\delta +\epsilon$, $\epsilon >0$, for Ahlfors–David regular subsets of $ℝ$ of dimension $\delta \in \left(0,1\right)$. This is an improvement over the volume bound $\frac{1}{2}-\delta$, and $\epsilon$ is estimated explicitly in terms of the regularity constant of the set. The proof uses a version of techniques originating in the works of Dolgopyat, Naud, and Stoyanov on spectral radii of transfer operators. Here the group invariance of the set is replaced by its fractal structure. As an application, we quantify the result of Naud on spectral gaps for convex cocompact hyperbolic surfaces and obtain a new spectral gap for open quantum baker maps.

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