Square roots and lattices

We construct a point set in the Euclidean plane that elucidates the relationship between the fine-scale statistics of the fractional parts of \sqrt{n} and directional statistics for a shifted lattice. We show that the randomly rotated, and then stretched, point set converges in distribution to a lattice-like random point process. This follows closely the arguments in Elkies and McMullen’s original analysis for the gap statistics of \sqrt{n}\bmod 1 in terms of random affine lattices [Duke Math. J. 123 (2004), 95–139]. There is, however, a curious subtlety: the limit process emerging in our construction is not invariant under the standard \operatorname{SL}(2,\mathbb{R}) -action on {\mathbb{R}}^{2} .

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Publication Details

Journal
L’Enseignement Mathématique
Published
2025-02-12
DOI
https://doi.org/10.4171/lem/1092
Citations
1
Primary Topic
Polynomial and algebraic computation
Type
article
Field-Weighted Citation Impact
1.50
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article

Square roots and lattices

Jens Marklof
1 citations
L’Enseignement Mathématique
Polynomial and algebraic computation
1.50
article

Square roots and lattices

Jens Marklof
article en
1 citations

Abstract

We construct a point set in the Euclidean plane that elucidates the relationship between the fine-scale statistics of the fractional parts of \sqrt{n} and directional statistics for a shifted lattice. We show that the randomly rotated, and then stretched, point set converges in distribution to a lattice-like random point process. This follows closely the arguments in Elkies and McMullen’s original analysis for the gap statistics of \sqrt{n}\bmod 1 in terms of random affine lattices [Duke Math. J. 123 (2004), 95–139]. There is, however, a curious subtlety: the limit process emerging in our construction is not invariant under the standard \operatorname{SL}(2,\mathbb{R}) -action on {\mathbb{R}}^{2} .

L’Enseignement MathématiqueVol. 72(1)
University of Bristol (GB)
Openalex Percentile: Top 20%
Polynomial and algebraic computation
1.50
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