On a generalization of distance sets
Hiroshi Nozaki, Masashi Shinohara

TL;DR
This paper extends bounds on distance sets in Euclidean and spherical spaces, characterizes those attaining bounds as tight designs, and classifies optimal locally two-distance sets in low dimensions.
Contribution
It generalizes Fisher type bounds to locally k-distance sets, introduces a new absolute bound, and classifies optimal locally two-distance sets in low dimensions.
Findings
Locally k-distance sets attaining Fisher bounds are k-distance sets.
New absolute bound for k-distance sets where linear programming bounds fail.
Classification of optimal locally two-distance sets for dimensions less than eight.
Abstract
A subset in the -dimensional Euclidean space is called a -distance set if there are exactly distinct distances between two distinct points in and a subset is called a locally -distance set if for any point in , there are at most distinct distances between and other points in . Delsarte, Goethals, and Seidel gave the Fisher type upper bound for the cardinalities of -distance sets on a sphere in 1977. In the same way, we are able to give the same bound for locally -distance sets on a sphere. In the first part of this paper, we prove that if is a locally -distance set attaining the Fisher type upper bound, then determining a weight function , is a tight weighted spherical -design. This result implies that locally -distance sets attaining the Fisher type upper bound are -distance sets. In the second part, we give…
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Taxonomy
TopicsMathematical Approximation and Integration · Digital Image Processing Techniques · Optimization and Packing Problems
