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Intersection patterns and connections to distance problems

Thang Pham, Semin Yoo

TL;DR

The paper develops a finite-field framework for intersection problems under rigid motions, establishing that for almost every rotation g, the cross-intersection |A ∩ (g(B)+z)| attains near-typical size ~ |A||B|/q^d for many shifts z, which in turn implies strong expansion of A − gB. The authors deploy a two-pronged approach combining incidence geometry for points and rigid motions with Fourier-analytic L^2 distance bounds, leveraging restriction theory and modern incidence bounds to obtain dimension-uniform results and sharpness in odd dimensions. In the planar prime-field setting, they derive a prime-field Rotational Erdős–Falconer distance theorem and provide explicit growth and intersection bounds, linking intersection phenomena with distance problems across dimensions. Taken together, the results create a robust two-way bridge between intersection patterns and distance problems over finite fields, with quantitative, dimension-uniform conclusions and several sharp thresholds. The work has notable implications for discrete harmonic analysis and geometric combinatorics in finite-field models of distance and incidence questions.

Abstract

Let $A$ and $B$ be sets in a finite vector space. In this paper, we study the magnitude of the set $A\cap f(B)$, where $f$ runs through a set of transformations. More precisely, we will focus on the cases that the set of transformations is given by orthogonal matrices or orthogonal projections. We prove that if $A, B\subset \mathbb{F}_q^d$ satisfy some natural conditions, then, for almost every $g\in O(d)$, there are at least $\gg q^d$ elements $z\in \mathbb{F}_q^d$ such that \[|A\cap (g(B)+z)| \sim \frac{|A||B|}{q^d}.\] This implies that $|A-gB|\gg q^d$ for almost every $g\in O(d)$. In the flavor of expanding functions, with $|A|\le |B|$, we also show that the image $A-gB$ grows exponentially. In two dimensions, the result simply says that if $|A|=q^x$ and $|B|=q^y$, as long as $0<x\le y<2$, then for almost every $g\in O(2)$, we can always find $ε=ε(x, y)>0$ such that $|A-gB|\gg |B|^{1+ε}$. To prove these results, we need to develop new and robust incidence bounds between points and rigid motions by using a number of techniques including algebraic methods and discrete Fourier analysis. Our results are essentially sharp in odd dimensions. In the prime field plane, we further employ recent $L^2$ distance bounds and point-line/plane incidence machinery to derive improvements. Notable applications include a strong prime field analogue of a question of Mattila related to the Falconer distance problem, the Rotational Erdős-Falconer distance problem, and a quadratic expansion law. Taken together, the results in this paper present a robust two-way link between intersection phenomena and distance problems over finite fields, with dimension-uniform consequences and sharpness in several ranges.

Intersection patterns and connections to distance problems

TL;DR

The paper develops a finite-field framework for intersection problems under rigid motions, establishing that for almost every rotation g, the cross-intersection |A ∩ (g(B)+z)| attains near-typical size ~ |A||B|/q^d for many shifts z, which in turn implies strong expansion of A − gB. The authors deploy a two-pronged approach combining incidence geometry for points and rigid motions with Fourier-analytic L^2 distance bounds, leveraging restriction theory and modern incidence bounds to obtain dimension-uniform results and sharpness in odd dimensions. In the planar prime-field setting, they derive a prime-field Rotational Erdős–Falconer distance theorem and provide explicit growth and intersection bounds, linking intersection phenomena with distance problems across dimensions. Taken together, the results create a robust two-way bridge between intersection patterns and distance problems over finite fields, with quantitative, dimension-uniform conclusions and several sharp thresholds. The work has notable implications for discrete harmonic analysis and geometric combinatorics in finite-field models of distance and incidence questions.

Abstract

Let and be sets in a finite vector space. In this paper, we study the magnitude of the set , where runs through a set of transformations. More precisely, we will focus on the cases that the set of transformations is given by orthogonal matrices or orthogonal projections. We prove that if satisfy some natural conditions, then, for almost every , there are at least elements such that This implies that for almost every . In the flavor of expanding functions, with , we also show that the image grows exponentially. In two dimensions, the result simply says that if and , as long as , then for almost every , we can always find such that . To prove these results, we need to develop new and robust incidence bounds between points and rigid motions by using a number of techniques including algebraic methods and discrete Fourier analysis. Our results are essentially sharp in odd dimensions. In the prime field plane, we further employ recent distance bounds and point-line/plane incidence machinery to derive improvements. Notable applications include a strong prime field analogue of a question of Mattila related to the Falconer distance problem, the Rotational Erdős-Falconer distance problem, and a quadratic expansion law. Taken together, the results in this paper present a robust two-way link between intersection phenomena and distance problems over finite fields, with dimension-uniform consequences and sharpness in several ranges.
Paper Structure (25 sections, 47 theorems, 170 equations, 1 figure, 6 tables)

This paper contains 25 sections, 47 theorems, 170 equations, 1 figure, 6 tables.

Key Result

Theorem 1.2

Let $A$ and $B$ be sets in $\mathbb{F}_q^d$ with $|A|=|B|=N$. There exists a subset $E\subset O(d)$ such that for any $g\in O(d)\setminus E$, there are at least $\gg q^d$ elements $z$ satisfying In particular, there exist absolute positive constants $C_1$, $C_2$, and $C_3$ with the following properties.

Figures (1)

  • Figure :

Theorems & Definitions (72)

  • Theorem 1.2
  • Corollary 1.3
  • Theorem 1.4
  • Corollary 1.5
  • Theorem 2.1
  • Lemma 2.2
  • Theorem 2.3
  • Theorem 2.4
  • Theorem 2.5
  • proof
  • ...and 62 more