Abstract
Let
$\mathbf{p}$
be a configuration of
$n$
points in
$\mathbb{R}^{d}$
for some
$n$
and some
$d\geqslant 2$
. Each pair of points has a Euclidean distance in the configuration. Given some graph
$G$
on
$n$
vertices, we measure the point-pair distances corresponding to the edges of
$G$
. In this paper, we study the question of when a generic
$\mathbf{p}$
in
$d$
dimensions will be uniquely determined (up to an unknowable Euclidean transformation) from a given set of point-pair distances together with knowledge of
$d$
and
$n$
. In this setting the distances are given simply as a set of real numbers; they are not labeled with the combinatorial data that describes which point pair gave rise to which distance, nor is data about
$G$
given. We show, perhaps surprisingly, that in terms of generic uniqueness, labels have no effect. A generic configuration is determined by an unlabeled set of point-pair distances (together with
$d$
and
$n$
) if and only if it is determined by the labeled distances.
Publisher
Cambridge University Press (CUP)
Subject
Computational Mathematics,Discrete Mathematics and Combinatorics,Geometry and Topology,Mathematical Physics,Statistics and Probability,Algebra and Number Theory,Theoretical Computer Science,Analysis
Cited by
6 articles.
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