Nonlinear uncertainty principle

We prove an uncertainty principle for subsets of $\mathbb R$ under weak branching assumptions. We impose a nonlinearity condition on the phase; without it our uncertainty principle fails e.g. for arithmetic progressions. The key ingredient in the proof is Shmerkin's nonlinear projection theorem. This paper is a part of a work in progress, but it is released earlier than the rest of that paper since it is also used in a paper of Cohen-Li-Tao. It also has an overlap with our recent paper [arXiv:2609.30261]; see the end of the introduction for more details.

Authors

Publication Details

Journal
arXiv (Cornell University)
Published
2026-10-27
DOI
https://doi.org/10.48550/arxiv.2610.37549
Primary Topic
Mathematical Analysis and Transform Methods
Type
preprint
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preprint

Nonlinear uncertainty principle

Semyon Dyatlov, Alex Cohen
arXiv (Cornell University)
Mathematical Analysis and Transform Methods
preprint

Nonlinear uncertainty principle

Semyon Dyatlov, Alex Cohen
preprint en

Abstract

We prove an uncertainty principle for subsets of $\mathbb R$ under weak branching assumptions. We impose a nonlinearity condition on the phase; without it our uncertainty principle fails e.g. for arithmetic progressions. The key ingredient in the proof is Shmerkin's nonlinear projection theorem. This paper is a part of a work in progress, but it is released earlier than the rest of that paper since it is also used in a paper of Cohen-Li-Tao. It also has an overlap with our recent paper [arXiv:2609.30261]; see the end of the introduction for more details.

arXiv (Cornell University)
Mathematical Analysis and Transform Methods
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Nonlinear uncertainty principle — Semyon Dyatlov, Alex Cohen · arXiv (Cornell University) (2026) | TGRS Research Map | TGRS