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Hauptverfasser: Bouthat, Ludovick, Chávez, Ángel, Fullerton, Sarah, LaFortune, Matilda, Linarez, Keyron, Liyanage, Nethmin, Son, Justin, Ting, Tyler
Format: Preprint
Veröffentlicht: 2023
Schlagworte:
Online-Zugang:https://arxiv.org/abs/2311.04689
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author Bouthat, Ludovick
Chávez, Ángel
Fullerton, Sarah
LaFortune, Matilda
Linarez, Keyron
Liyanage, Nethmin
Son, Justin
Ting, Tyler
author_facet Bouthat, Ludovick
Chávez, Ángel
Fullerton, Sarah
LaFortune, Matilda
Linarez, Keyron
Liyanage, Nethmin
Son, Justin
Ting, Tyler
contents 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.
format Preprint
id arxiv_https___arxiv_org_abs_2311_04689
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Extremal Polynomial Norms of Graphs
Bouthat, Ludovick
Chávez, Ángel
Fullerton, Sarah
LaFortune, Matilda
Linarez, Keyron
Liyanage, Nethmin
Son, Justin
Ting, Tyler
Combinatorics
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.
title Extremal Polynomial Norms of Graphs
topic Combinatorics
url https://arxiv.org/abs/2311.04689