Haemers's Laplacian eigenvalue conjecture for graph toughness

From papers

Let GG be a simple graph with minimum degree δ\delta. Let μ2\mu_2 and μn\mu_n denote the second-smallest and largest eigenvalues of the Laplacian matrix of GG, respectively, and let t(G)t(G) be its toughness. Haemers's conjecture.

t(G)μ2μnδ.t(G)\geq\frac{\mu_2}{\mu_n-\delta}.

The source attributes this conjecture to Haemers and presents it as a proposed lower bound for the toughness of arbitrary graphs in terms of Laplacian eigenvalues. The supplied material does not state whether it has been resolved.

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Sources & referencesView supporting material

Primary source

Xiaofeng Gu and Willem H. Haemers, “Graph toughness from Laplacian eigenvalues”, arXiv:2104.03845 (2021).

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