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Nearly k-Distance Sets
Nóra Frankl1,2, Andrey Kupavskii3,4
1School of Mathematics and Statistics, The Open University, Milton Keynes, UK.
This study investigates k-distance sets in Euclidean spaces, finding that the number of distinct distances between points grows with dimension. This answers a long-standing question in combinatorial geometry.
Area of Science:
- Combinatorial Geometry
- Discrete Geometry
- Geometric Set Systems
Background:
- Introduces the concept of k-distance sets, where distances between any two points in a set S are limited to k values.
- Highlights the classical problem of determining the maximum size of a k-distance set in d-dimensional Euclidean space (ℝd).
Purpose of the Study:
- To study the quantity N(S) and its relationship with the maximum size of a k-distance set in ℝd.
- To address a Turán-type problem concerning the number of pairs of points with specific distances, given constraints on minimum separation.
Main Methods:
- Analysis of the quantity N(S) related to k-distance sets.
- Investigating Turán-type problems in geometric settings.
- Establishing connections between different geometric quantities.
Main Results:
- Proves that N(S) is proportional to d for large d and fixed k.
- Demonstrates that for fixed k and sufficiently large d, N(S) is proportional to d.
- Provides an exact answer to a Turán-type problem for specific ranges of k and d.
Conclusions:
- The results contribute to understanding the distribution and properties of distances within point sets in Euclidean spaces.
- Answers a question posed by Erdős, Makai, and Pach regarding k-distance sets.
- Extends previous work on Turán-type problems in discrete geometry.
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