Fractal uncertainty in higher dimensions

We prove that if a fractal set in $\mathbb{R}^d$ avoids lines in a certain quantitative sense, which we call line porosity, then it has a fractal uncertainty principle. The main ingredient is a new higher-dimensional Beurling--Malliavin multiplier theorem.

Authors

Institutions

Publication Details

Journal
Annals of Mathematics
Published
2025-07-01
DOI
https://doi.org/10.4007/annals.2025.202.1.4
Citations
2
Primary Topic
Statistical Mechanics and Entropy
Type
article
Field-Weighted Citation Impact
2.65
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Fractal uncertainty in higher dimensions

Alex Cohen
2 citations
Annals of Mathematics
Statistical Mechanics and Entropy
2.65
article

Fractal uncertainty in higher dimensions

Alex Cohen
article en
2 citations

Abstract

We prove that if a fractal set in $\mathbb{R}^d$ avoids lines in a certain quantitative sense, which we call line porosity, then it has a fractal uncertainty principle. The main ingredient is a new higher-dimensional Beurling--Malliavin multiplier theorem.

Annals of MathematicsVol. 202(1)
Massachusetts Institute of Technology (US)
Openalex Percentile: Top 10%
Statistical Mechanics and Entropy
2.65
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Fractal uncertainty in higher dimensions — Alex Cohen · Annals of Mathematics (2025) | TGRS Research Map | TGRS