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Bounds on sets with few distances

Authors: Alexander Barg; Oleg R. Musin;

Bounds on sets with few distances

Abstract

We derive a new estimate of the size of finite sets of points in metric spaces with few distances. The following applications are considered: (1) we improve the Ray-Chaudhuri--Wilson bound of the size of uniform intersecting families of subsets; (2) we refine the bound of Delsarte-Goethals-Seidel on the maximum size of spherical sets with few distances; (3) we prove a new bound on codes with few distances in the Hamming space, improving an earlier result of Delsarte. We also find the size of maximal binary codes and maximal constant-weight codes of small length with 2 and 3 distances.

11 pages

Keywords

FOS: Computer and information sciences, Orthogonal polynomials, Computer Science - Information Theory, Information Theory (cs.IT), Extremal set theory, binary codes, spherical codes, Metric Geometry (math.MG), intersecting families, Intersecting families, distance transitive spaces, Theoretical Computer Science, Binary codes, Computational Theory and Mathematics, Mathematics - Metric Geometry, Spherical codes, FOS: Mathematics, Distance transitive spaces, Discrete Mathematics and Combinatorics, Mathematics - Combinatorics, Combinatorics (math.CO), orthogonal polynomials

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
12
Average
Top 10%
Top 10%
Green
hybrid