Some new results on anti-adjacency spectra of regular graphs
The anti-adjacency matrix [Formula: see text] of a simple graph [Formula: see text] with [Formula: see text], is a square matrix of order [Formula: see text] with rows and columns indexed by [Formula: see text], where the [Formula: see text]-entry [Formula: see text] is [Formula: see text], if the vertices [Formula: see text] and [Formula: see text] are not adjacent to each other and [Formula: see text], otherwise. The [Formula: see text]- entry of [Formula: see text] is [Formula: see text]. The anti-adjacency eigenvalues of [Formula: see text] are the eigenvalues obtained from the matrix [Formula: see text] and the corresponding spectra is called the anti-adjacency spectra of [Formula: see text], denoted by [Formula: see text]-spec([Formula: see text]). In this paper, we discuss the anti-adjacency spectra of join and disjoint union of regular graphs. The anti-adjacency spectra of bipartite regular graphs, line graphs of regular graphs and strongly regular graphs are also discussed.
Authors
- Sudev Naduvath (ORCID: https://orcid.org/0000-0001-9692-4053)
- Dilip Jain (ORCID: https://orcid.org/0000-0001-6586-8386)
Institutions
- Christ University (IN)
Publication Details
- Journal
- Asian-European Journal of Mathematics
- Published
- 2025-04-11
- DOI
- https://doi.org/10.1142/s179355712540008x
- Primary Topic
- Graph theory and applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00