English

Note on the spectra of Steiner distance hypermatrices

Combinatorics 2024-03-05 v1

Abstract

The Steiner distance of a set of vertices in a graph is the fewest number of edges in any connected subgraph containing those vertices. The order-kk Steiner distance hypermatrix of an nn-vertex graph is the n××nn \times \cdots \times n (kk terms) array indexed by vertices, whose entries are the Steiner distances of their corresponding indices. In the case of k=2k=2, this reduces to the classical distance matrix of a graph. Graham and Pollak showed in 1971 that the determinant of the distance matrix of a tree only depends on its number nn of vertices. Here, we show that the hyperdeterminant of the Steiner distance hypermatrix of a tree vanishes if and only if (a) n3n \geq 3 and kk is odd, (b) n=1n=1, or (c) n=2n=2 and k1(mod6)k \equiv 1 \pmod{6}. Two proofs are presented of the n=2n=2 case -- the other situations were handled previously -- and we use the argument further to show that the distance spectral radius for n=2n=2 is equal to 2k112^{k-1}-1. Some related open questions are also discussed.

Keywords

Cite

@article{arxiv.2403.02287,
  title  = {Note on the spectra of Steiner distance hypermatrices},
  author = {Joshua Cooper and Zhibin Du},
  journal= {arXiv preprint arXiv:2403.02287},
  year   = {2024}
}

Comments

6 pages, 0 figures

R2 v1 2026-06-28T15:08:45.281Z