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Extremal Polynomial Norms of Graphs
[Submitted on 8 Nov 2023 (v1), last revised 29 Jun 2026 (this ve · 2023-11-08 · via math updates on arXiv.org

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Abstract:Recent work shows that a new family of norms on Hermitian matrices arise by evaluating the even degree complete homogeneous symmetric (CHS) polynomials on the eigenvalues of a Hermitian matrix. The CHS norm of a graph is then defined by evaluating the even degree CHS polynomials on the eigenvalues of the adjacency matrix of a graph. The fact that these norms are defined in terms of eigenvalues (as opposed to singular values) ensures they can distinguish between graphs that other norms cannot. In addition, we prove that the CHS norms are minimized over all connected graphs by the path and maximized over all connected graphs by the complete graph. Finally, we prove that the CHS norms are minimized over all trees by the path and maximized over all trees by the star. Our paper is intended for a wide mathematical audience and we assume no prior knowledge about graphs or symmetric polynomials.

Submission history

From: Ángel Chávez [view email]
[v1] Wed, 8 Nov 2023 13:55:31 UTC (18 KB)
[v2] Fri, 23 Aug 2024 20:00:57 UTC (21 KB)
[v3] Mon, 29 Jun 2026 18:29:23 UTC (17 KB)