English

Isometric embedding and spectral constraints for weighted graph metrics

Combinatorics 2023-04-26 v1

Abstract

A weighted graph ϕG\phi G encodes a finite metric space DϕGD_{\phi G}. When is DD totally decomposable? When does it embed in 1\ell_1 space? When does its representing matrix have 1\leq 1 positive eigenvalue? We give useful lemmata and prove that these questions can be answered without examining ϕ\phi if and only if GG has no K2,3K_{2,3} minor. We also prove results toward the following conjecture. DϕGD_{\phi G} has n\leq n positive eigenvalues for all ϕ\phi, if and only if GG has no K2,3,...,3K_{2,3,...,3} minor, with nn threes.

Keywords

Cite

@article{arxiv.2304.13018,
  title  = {Isometric embedding and spectral constraints for weighted graph metrics},
  author = {Jeffrey Cheng and Ian Malcolm Johnson McInnis and Matthew Yee},
  journal= {arXiv preprint arXiv:2304.13018},
  year   = {2023}
}
R2 v1 2026-06-28T10:17:34.501Z