English

Maximum spread of graphs and bipartite graphs

Combinatorics 2021-09-08 v1

Abstract

Given any graph GG, the (adjacency) spread of GG is the maximum absolute difference between any two eigenvalues of the adjacency matrix of GG. In this paper, we resolve a pair of 20-year-old conjectures of Gregory, Hershkowitz, and Kirkland regarding the spread of graphs. The first states that for all positive integers nn, the nn-vertex graph GG that maximizes spread is the join of a clique and an independent set, with 2n/3\lfloor 2n/3 \rfloor and n/3\lceil n/3 \rceil vertices, respectively. Using techniques from the theory of graph limits and numerical analysis, we prove this claim for all nn sufficiently large. As an intermediate step, we prove an analogous result for a family of operators in the Hilbert space over L2[0,1]\mathscr{L}^2[0,1]. The second conjecture claims that for any fixed en2/4e\leq n^2/4, if GG maximizes spread over all nn-vertex graphs with ee edges, then GG is bipartite. We prove an asymptotic version of this conjecture. Furthermore, we exhibit an infinite family of counterexamples, which shows that our asymptotic solution is tight up to lower order error terms.

Keywords

Cite

@article{arxiv.2109.03129,
  title  = {Maximum spread of graphs and bipartite graphs},
  author = {Jane Breen and Alex W. N. Riasanovsky and Michael Tait and John Urschel},
  journal= {arXiv preprint arXiv:2109.03129},
  year   = {2021}
}
R2 v1 2026-06-24T05:45:32.111Z