Iterated line graphs with only negative eigenvalues $-2$, their complements and energy
Harishchandra S. Ramane, B. Parvathalu, Daneshwari Patil, K. Ashoka

TL;DR
This paper characterizes iterated line graphs with all eigenvalues equal to -2, explores their spectral and energy properties, and introduces methods to analyze spectra of complex graph compositions.
Contribution
It provides a complete characterization of certain iterated line graphs with uniform negative eigenvalues and analyzes their energy and spectral properties, including complements and generalized compositions.
Findings
Iterated line graphs with all eigenvalues -2 are characterized.
Spectra and energy of these graphs and their complements are determined.
A new method using quotient matrices for spectra of generalized graph compositions is introduced.
Abstract
The graphs with all equal negative or positive eigenvalues are special kind in the spectral graph theory. In this article, several iterated line graphs with all equal negative eigenvalues are characterized for and their energy consequences are presented. Also, the spectra and the energy of complement of these graphs are obtained, interestingly they have exactly two positive eigenvalues with different multiplicities. Moreover, we characterize a large class of equienergetic graphs which generalize some of the existing results. There are two different quotient matrices defined for an equitable partition of -join (generalized composition) of regular graphs to find the spectrum (partial) of adjacency matrix, Laplacian matrix and signless Laplacian matrix, it has been proved that these two quotient matrices give the same respective spectrum of graphs.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsGraph theory and applications · Matrix Theory and Algorithms · Synthesis and Properties of Aromatic Compounds
