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Upper bounds of spectral radius of symmetric matrices and graphs.

Authors :
Jin, Ya-Lei
Zhang, Jie
Zhang, Xiao-Dong
Source :
Linear Algebra & its Applications. Feb2024, Vol. 682, p152-163. 12p.
Publication Year :
2024

Abstract

The spectral radius ρ (A) is the maximum absolute value of the eigenvalues of a matrix A. In this paper, we establish some relationship between the spectral radius of a symmetric matrix and its principal submatrices, i.e., if A is partitioned as a 2 × 2 block matrix A = ( 0 A 12 A 21 A 22 ) , then ρ (A) 2 ≤ ρ 2 2 + θ ⁎ , where θ ⁎ is the largest real root of the equation μ 2 = (x − ν) 2 (ρ 2 2 + x) and ρ 2 = ρ (A 22) , μ = ρ (A 12 A 22 A 21) , ν = ρ (A 12 A 21). Furthermore, the results are used to obtain several upper bounds of the spectral radius of graphs, which strengthen or improve some known results. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00243795
Volume :
682
Database :
Academic Search Index
Journal :
Linear Algebra & its Applications
Publication Type :
Academic Journal
Accession number :
174060262
Full Text :
https://doi.org/10.1016/j.laa.2023.11.008