# Nearly $k$-distance sets

**Authors:** N\'ora Frankl, Andrey Kupavskii

arXiv: 1906.02574 · 2022-07-19

## TL;DR

This paper investigates nearly k-distance sets in Euclidean space, establishing their maximum size and connections to classical k-distance sets, and addresses related Turán-type problems with exact bounds for large dimensions.

## Contribution

It proves that the maximum size of nearly k-distance sets equals that of exact k-distance sets for small k and large dimensions, answering a question by Erdős, Makai, and Pach.

## Key findings

- M_k(d) equals m_k(d) for k=2,3
- M_k(d) equals m_k(d) for fixed k and large d
- Exact bounds for Turán-type distance problems in high dimensions

## Abstract

We say that a set of points $S\subset \mathbb{R}^d$ is an $\varepsilon$-nearly $k$-distance set if there exist $1\le t_1\le \ldots\le t_k,$ such that the distance between any two distinct points in $S$ falls into $[t_1,t_1+\varepsilon]\cup\ldots\cup[t_k,t_k+\varepsilon]$. In this paper, we study the quantity $M_k(d) = \lim_{\varepsilon\to 0}\max\{|S|\ :\ S\text{ is an }\varepsilon\text{-nearly } k \text{-distance set in } \mathbb{R}^d\}$ and its relation to the classical quantity $m_k(d)$: the size of the largest $k$-distance set in $\mathbb{R}^d$. We obtain that $M_k(d) = m_k(d)$ for $k=2,3$, as well as for any fixed $k$, provided that $d$ is sufficiently large. The last result answers a question, proposed by Erd\H{o}s, Makai and Pach.   We also address a closely related Tur\'an-type problem, studied by Erd\H{o}s, Makai, Pach, and Spencer in the 80's: given $n$ points in $\mathbb{R}^d$, how many pairs of them form a distance that belongs to $[t_1,t_1+1]\cup\ldots\cup[t_k,t_k+1],$ where $t_1,\ldots, t_k$ are fixed and any two points in the set are at distance at least $1$ apart? We establish the connection between this quantity and a quantity closely related to $M_k(d-1)$, as well as obtain an exact answer for the same ranges $k,d$ as above.

## Full text

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## Figures

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## References

30 references — full list in the complete paper: https://tomesphere.com/paper/1906.02574/full.md

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Source: https://tomesphere.com/paper/1906.02574