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Related papers: Fractal uncertainty in higher dimensions

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We establish a version of the fractal uncertainty principle, obtained by Bourgain and Dyatlov in 2016, in higher dimensions. The Fourier support is limited to sets $Y\subset \mathbb{R}^d$ which can be covered by finitely many products of…

Classical Analysis and ODEs · Mathematics 2020-04-22 Rui Han , Wilhelm Schlag

In [arXiv:2305.05022], Cohen proved a higher dimensional fractal uncertainty principle for line porous sets. The purpose of this expository note is to provide a different point of view on some parts of Cohen's proof, particularly suited to…

Classical Analysis and ODEs · Mathematics 2023-05-30 Semyon Dyatlov

We prove a fractal uncertainty principle with exponent $\frac{d}{2} - \delta + \varepsilon$, $\varepsilon > 0$, for Ahlfors--David regular subsets of $\mathbb R^d$ with dimension $\delta$ which satisfy a suitable "nonorthogonality…

Classical Analysis and ODEs · Mathematics 2025-06-18 Aidan Backus , James Leng , Zhongkai Tao

We prove that a self-similar Cantor set in $\mathbb{Z}_N \times \mathbb{Z}_N$ has a fractal uncertainty principle if and only if it does not contain a pair of orthogonal lines. The key ingredient in our proof is a quantitative form of…

Classical Analysis and ODEs · Mathematics 2025-03-05 Alex Cohen

We obtain a new version of the Uncertainty Principle for functions with Fourier transforms supported on a lacunary set of intervals. This is a generalization of Zygmund's theorem on lacunary trigonometric series to the real line in the…

Classical Analysis and ODEs · Mathematics 2007-05-23 O. Kovrizhkin

Fractal uncertainty principle states that no function can be localized in both position and frequency near a fractal set. This article provides a review of recent developments on the fractal uncertainty principle and of their applications…

Classical Analysis and ODEs · Mathematics 2019-08-20 Semyon Dyatlov

In this paper we derive new upper bounds for the densities of measurable sets in R^n which avoid a finite set of prescribed distances. The new bounds come from the solution of a linear programming problem. We apply this method to obtain new…

Combinatorics · Mathematics 2010-09-17 Fernando Mario de Oliveira Filho , Frank Vallentin

We prove an explicit formula for the dependence of the exponent in the fractal uncertainty principle of Bourgain-Dyatlov on the dimension and on the regularity constant for the regular set. In particular, this implies an explicit essential…

Classical Analysis and ODEs · Mathematics 2018-06-06 Long Jin , Ruixiang Zhang

The present paper is devoted to a new multidimensional generalization of the Beurling and Malliavin Theorem, which is a classical result in the Uncertainty Principle in Fourier Analysis. In more detail, we establish by an elegant but simple…

Classical Analysis and ODEs · Mathematics 2026-01-05 Ioann Vasilyev

We study the fractal dimension of a given subset X of R^{n} such that a motion is possible without crossing X.

Differential Geometry · Mathematics 2025-12-30 Reza Mirzaie

The pattern avoidance problem seeks to construct a set with large fractal dimension that avoids a prescribed pattern, such as three term arithmetic progressions, or more general patterns, such as finding a set whose Cartesian product avoids…

Classical Analysis and ODEs · Mathematics 2019-12-03 Jacob Denson

We obtain new bounds on the additive energy of (Ahlfors-David type) regular measures in both one and higher dimensions, which implies expansion results for sums and products of the associated regular sets, as well as more general nonlinear…

Classical Analysis and ODEs · Mathematics 2021-06-24 Laura Cladek , Terence Tao

We construct meta-intransitive systems of independent random variables of any finite order from basic tuple of random variables which generalize intransitive dice. Under this construction, the equality of some linear functional is…

Probability · Mathematics 2024-05-07 Alexey V. Lebedev

We apply connectedness percolation theory to fractal liquids of hard particles, and make use of a Percus-Yevick liquid state theory combined with a geometric connectivity criterion. We find that in fractal dimensions the percolation…

Statistical Mechanics · Physics 2021-11-24 René de Bruijn , Paul van der Schoot

We apply the Principle of Maximum Entropy to the study of a general class of deterministic fractal sets. The scaling laws peculiar to these objects are accounted for by means of a constraint concerning the average content of information in…

Statistical Mechanics · Physics 2015-06-25 R. Pastor-Satorras , J. Wagensberg

Using a generalization of vector calculus for space with non-integer dimension, we consider elastic properties of fractal materials. Fractal materials are described by continuum models with non-integer dimensional space. A generalization of…

Materials Science · Physics 2015-03-12 Vasily E. Tarasov

In the interstellar medium, as well as in the Universe, large density fluctuations are observed, that obey power-law density distributions and correlation functions. These structures are hierarchical, chaotic, turbulent, but are also…

Astrophysics · Physics 2016-08-30 Francoise Combes

We shed new light on Heisenberg's uncertainty principle in the sense of Beurling, by offering an essentially different proof which permits us to weaken the assumptions substantially, and examples show that the result is sharp. The proof…

Functional Analysis · Mathematics 2013-11-11 Haakan Hedenmalm

We study the porosity properties of fractal percolation sets $E\subset\mathbb{R}^d$. Among other things, for all $0<\varepsilon<\tfrac12$, we obtain dimension bounds for the set of exceptional points where the upper porosity of $E$ is less…

Probability · Mathematics 2020-10-02 Changhao Chen , Tuomo Ojala , Eino Rossi , Ville Suomala

Our first experience of dimension typically comes in the intuitive Euclidean sense: a line is one dimensional, a plane is two-dimensional, and a volume is three-dimensional. However, following the work of Mandelbrot \cite{mandelbrot},…

Physics Education · Physics 2022-09-05 Charles E. Creffield
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