English

On Minimizing the Energy of a Spherical Graph Representation

Computational Geometry 2023-09-07 v1 Combinatorics

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 ρ(G)\rho(G) for a given graph GG. The value turns out to be related to the second largest eigenvalue of the adjacency matrix of GG, which we denote by λ2\lambda_2. We show that for GG regular, ρ(G)λ22v(G)\rho(G) \leq \frac{\lambda_{2}}{2} \cdot v(G), and that equality holds if and only if the λ2\lambda_{2} eigenspace contains a spherical 1-design. Moreover, if GG is a random dd-regular graph, ρ(G)=((d1)+o(1))v(G)\rho(G)=\left(\sqrt{(d-1)} +o(1)\right)\cdot v(G), 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)