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

Institutions

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
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Some new results on anti-adjacency spectra of regular graphs

Sudev Naduvath, Dilip Jain
Asian-European Journal of Mathematics
Graph theory and applications
article

Some new results on anti-adjacency spectra of regular graphs

Sudev Naduvath, Dilip Jain
article en

Abstract

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.

Asian-European Journal of MathematicsVol. 19(02)
Christ University (IN)
Reduced inequalities
Openalex Percentile: Top 88%
Graph theory and applications
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Some new results on anti-adjacency spectra of regular graphs — Sudev Naduvath, Dilip Jain · Asian-European Journal of Mathematics (2025) | TGRS Research Map | TGRS