Sum of the $k$ Largest Eigenvalues of Symmetric Matrices: Theory and Applications

Fuente: arXiv
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Main Authors: Sun, Shaowei, Min, Yaping, Das, Kinkar Chandra
Format: Preprint
Published: 2026
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author Sun, Shaowei
Min, Yaping
Das, Kinkar Chandra
author_facet Sun, Shaowei
Min, Yaping
Das, Kinkar Chandra
contents This paper establishes new upper bounds for the sum of the $k$ largest eigenvalues of symmetric matrices. When applied to the adjacency matrix of a graph, our results improve upon a related bound due to Mohar {\bf [On the sum of k largest eigenvalues of graphs and symmetric matrices, J. Combin. Theory Ser. B 99 (2009) 306--313]}. Furthermore, in the case of the Laplacian matrix, we prove that the well-known Brouwer's conjecture {\bf [Spectra of Graphs, Springer, New York, 2012]} holds for small values of $k$ for almost all graphs, thereby taking a significant step toward its complete resolution.
format Preprint
id arxiv_https___arxiv_org_abs_2605_26707
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Sum of the $k$ Largest Eigenvalues of Symmetric Matrices: Theory and Applications
Sun, Shaowei
Min, Yaping
Das, Kinkar Chandra
Combinatorics
05C50
This paper establishes new upper bounds for the sum of the $k$ largest eigenvalues of symmetric matrices. When applied to the adjacency matrix of a graph, our results improve upon a related bound due to Mohar {\bf [On the sum of k largest eigenvalues of graphs and symmetric matrices, J. Combin. Theory Ser. B 99 (2009) 306--313]}. Furthermore, in the case of the Laplacian matrix, we prove that the well-known Brouwer's conjecture {\bf [Spectra of Graphs, Springer, New York, 2012]} holds for small values of $k$ for almost all graphs, thereby taking a significant step toward its complete resolution.
title Sum of the $k$ Largest Eigenvalues of Symmetric Matrices: Theory and Applications
topic Combinatorics
05C50
url https://arxiv.org/abs/2605.26707