EconPapers    
Economics at your fingertips  
 

Laplacian eigenvalue distribution of a graph with given independence number

Jinwon Choi, Suil O, Jooyeon Park and Zhiwen Wang

Applied Mathematics and Computation, 2023, vol. 448, issue C

Abstract: For a graph G, let α(G) be the independence number of G, let L(G) be the Laplacian matrix of G, and let mGI be the number of eigenvalues of L(G) in the interval I. Ahanjideh, Akbari, Fakharan and Trevisan proved that α(G)≤mG[0,n−α(G)] if G is an n-vertex connected graph. Choi, Moon and Park characterized graphs with α(G)=mG[0,n−α(G)] for α(G)=2 and α(G)=n−2. In this paper, we give a characterization for α(G)=3 and α(G)=n−3.

Keywords: Laplacian eigenvalues; Independence number (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0096300323001121
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:apmaco:v:448:y:2023:i:c:s0096300323001121

DOI: 10.1016/j.amc.2023.127943

Access Statistics for this article

Applied Mathematics and Computation is currently edited by Theodore Simos

More articles in Applied Mathematics and Computation from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

 
Page updated 2025-03-19
Handle: RePEc:eee:apmaco:v:448:y:2023:i:c:s0096300323001121