On Minimizing the Energy of a Spherical Graph Representation
Abstract
Graph representations are the generalization of geometric graph drawings from the plane to higher dimensions. A method introduced by Tutte to optimize properties of graph drawings is to minimize their energy. We explore this minimization for spherical graph representations, where the vertices lie on a unit sphere such that the origin is their barycentre. We present a primal and dual semidefinite program which can be used to find such a spherical graph representation minimizing the energy. We denote the optimal value of this program by for a given graph . The value turns out to be related to the second largest eigenvalue of the adjacency matrix of , which we denote by . We show that for regular, , and that equality holds if and only if the eigenspace contains a spherical 1-design. Moreover, if is a random -regular graph, , asymptotically almost surely.
Keywords
Cite
@article{arxiv.2309.02817,
title = {On Minimizing the Energy of a Spherical Graph Representation},
author = {Matt DeVos and Danielle Rogers and Alexandra Wesolek},
journal= {arXiv preprint arXiv:2309.02817},
year = {2023}
}
Comments
Appears in the Proceedings of the 31st International Symposium on Graph Drawing and Network Visualization (GD 2023)