Eigenvalue-free interval for Seidel matrices of threshold graphs

Zhuang Xiong and Yaoping Hou

Applied Mathematics and Computation, 2022, vol. 427, issue C

Abstract: The distribution of eigenvalues for Seidel matrices of threshold graphs is investigated in this paper. We show that there is no eigenvalue of Seidel matrices of threshold graphs in the interval (−2,2) except for −1 and 1. We also determine the inertia of the Seidel matrix of a threshold graph in terms of its binary string.

Date: 2022
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S009630032200251X
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:427:y:2022:i:c:s009630032200251x

DOI: 10.1016/j.amc.2022.127177

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 ().