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VC-dimension of Salem sets over finite fields

Moustapha Diallo, Brian McDonald

TL;DR

This work develops a unified Fourier-analytic framework to study VC-dimension for hypothesis classes defined by translates of geometric sets over finite fields, extending distance-geometry questions beyond circles to general algebraic sets and random configurations. A central contribution is a shattering theorem: if a symmetric Salem-type set $S$ satisfies size and intersection bounds and the ambient set $E$ is sufficiently large, then the associated class $\mathcal{H}_S(E)$ has VC-dimension at least 3, with specific conditions giving equality to 3 and no 4-point shattering. The paper also provides explicit Salem-set examples (sphere, paraboloid, and quadratic curves), analyzes random constructions, and contrasts the Euclidean and finite-field settings through a detailed treatment of the symmetrized parabola, showing a sharp dimensional gap between the two worlds. Overall, the results broaden the applicability of VC-dimension methods to structured and random geometric configurations in finite fields, offering tools for probing Erdős-type distance problems and related combinatorial questions. The framework highlights how Fourier decay, intersection properties, and algebraic structure jointly control shattering phenomena with potential extensions to fractal-like sets and higher-degree curves.

Abstract

The VC-dimension, introduced by Vapnik and Chervonenkis in 1968 in the context of learning theory, has in recent years provided a rich source of problems in combinatorial geometry. Given $E\subseteq \mathbb{F}_q^d$ or $E\subseteq \mathbb{R}^d$, finding lower bounds on the VC-dimension of hypothesis classes defined by geometric objects such as spheres and hyperplanes is equivalent to constructing appropriate geometric configurations in $E$. The complexity of these configurations increases exponentially with the VC-dimension. These questions are related to the Erdős distance problem and the Falconer problem when considering a hypothesis class defined by spheres. In particular, the Erdős distance problem over finite fields is equivalent to showing that the VC-dimension of translates of a sphere of radius $t$ is at least one for all nonzero $t\in \mathbb{F}_q$. In this paper, we show that many of the existing techniques for distance problems over finite fields can be extended to a much broader context, not relying on the specific geometry of circles and spheres. We provide a unified framework which allows us to simultaneously study highly structured sets such as algebraic curves, as well as random sets.

VC-dimension of Salem sets over finite fields

TL;DR

This work develops a unified Fourier-analytic framework to study VC-dimension for hypothesis classes defined by translates of geometric sets over finite fields, extending distance-geometry questions beyond circles to general algebraic sets and random configurations. A central contribution is a shattering theorem: if a symmetric Salem-type set satisfies size and intersection bounds and the ambient set is sufficiently large, then the associated class has VC-dimension at least 3, with specific conditions giving equality to 3 and no 4-point shattering. The paper also provides explicit Salem-set examples (sphere, paraboloid, and quadratic curves), analyzes random constructions, and contrasts the Euclidean and finite-field settings through a detailed treatment of the symmetrized parabola, showing a sharp dimensional gap between the two worlds. Overall, the results broaden the applicability of VC-dimension methods to structured and random geometric configurations in finite fields, offering tools for probing Erdős-type distance problems and related combinatorial questions. The framework highlights how Fourier decay, intersection properties, and algebraic structure jointly control shattering phenomena with potential extensions to fractal-like sets and higher-degree curves.

Abstract

The VC-dimension, introduced by Vapnik and Chervonenkis in 1968 in the context of learning theory, has in recent years provided a rich source of problems in combinatorial geometry. Given or , finding lower bounds on the VC-dimension of hypothesis classes defined by geometric objects such as spheres and hyperplanes is equivalent to constructing appropriate geometric configurations in . The complexity of these configurations increases exponentially with the VC-dimension. These questions are related to the Erdős distance problem and the Falconer problem when considering a hypothesis class defined by spheres. In particular, the Erdős distance problem over finite fields is equivalent to showing that the VC-dimension of translates of a sphere of radius is at least one for all nonzero . In this paper, we show that many of the existing techniques for distance problems over finite fields can be extended to a much broader context, not relying on the specific geometry of circles and spheres. We provide a unified framework which allows us to simultaneously study highly structured sets such as algebraic curves, as well as random sets.

Paper Structure

This paper contains 12 sections, 39 theorems, 146 equations, 6 figures.

Key Result

Theorem 1.1

For $E\subseteq \mathbb{R}^2$, $|E|=n$,

Figures (6)

  • Figure 1: The graph $G_3$ represents shattering 3 points.
  • Figure 2: The graph $G_2$ represents shattering 2 points.
  • Figure 3: Left: The cube graph $Q_3$, as constructed by Lemma \ref{['rhombus']} and Corollary \ref{['cube']}. Right: Re-labeling the vertices to agree with Figure \ref{['vc3_graph']}, and deleting the vertex $x^4+v$ which is unnecessary for the proof of Theorem \ref{['shatter3']}.
  • Figure 4: Four points placed on the Symmetrized Parabola, used to illustrate the different geometric configurations examined in the casework that follows
  • Figure 5: Geometric configuration used in proof of Lemma \ref{['main_case']}, Case 1, where the translates $y^{123}+P$ and $y^{124}+P$ force $x^3,x^4$ to lie to the right of $x^1,x^2$.
  • ...and 1 more figures

Theorems & Definitions (83)

  • Theorem 1.1: Guth-Katz
  • Definition 1.2
  • Remark 1.3
  • Theorem 1.4: Iosevich-Rudnev
  • Definition 1.5
  • Definition 1.6
  • Definition 1.7
  • Definition 1.8
  • Remark 1.9
  • Definition 1.10
  • ...and 73 more