Mixed volume and distance geometry techniques for counting Euclidean embeddings of rigid graphs

12Citations
Citations of this article
7Readers
Mendeley users who have this article in their library.
Get full text

Abstract

A graph G is called generically minimally rigid in ℝ d if, for any choice of sufficiently generic edge lengths, it can be embedded in ℝ d in a finite number of distinct ways, modulo rigid transformations. Here, we deal with the problem of determining tight bounds on the number of such embeddings, as a function of the number of vertices. The study of rigid graphs is motivated by numerous applications, mostly in robotics, bioinformatics, sensor networks, and architecture. We capture embeddability by polynomial systems with suitable structure so that their mixed volume, which bounds the number of common roots, yields interesting upper bounds on the number of embeddings. We explore different polynomial formulations so as to reduce the corresponding mixed volume, namely by introducing new variables that remove certain spurious roots and by applying the theory of distance geometry. We focus on ℝ2 and ℝ3, where Laman graphs and 1-skeleta (or edge graphs) of convex simplicial polyhedra, respectively, admit inductive Henneberg constructions. Our implementation yields upper bounds for n ≤ 10 in ℝ2 and ℝ3, which reduce the existing gaps and lead to tight bounds for n ≤ 7 in ℝ2 both and ℝ3; in particular, we describe the recent settlement of the case of Laman graphs with seven vertices. Our approach also yields a new upper bound for Laman graphs with eight vertices, which is conjectured to be tight. We also establish the first lower bound in ℝ3 of about 2. 52n, where n denotes the number of vertices.

Cite

CITATION STYLE

APA

Emiris, I. Z., Tsigaridas, E. P., & Varvitsiotis, A. (2013). Mixed volume and distance geometry techniques for counting Euclidean embeddings of rigid graphs. In Distance Geometry: Theory, Methods, and Applications (Vol. 9781461451280, pp. 23–45). Springer New York. https://doi.org/10.1007/978-1-4614-5128-0_2

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free