Characteristic Polynomial of Antiadjacency Matrix of Several Classes of Graph Join

Suppose <em>G</em> is a simple and undirected graph. The adjacency matrix of graph <em>G</em>, denoted by <em>A</em>(<em>G</em>) is a square matrix that representing graph <em>G</em> based on the adjacency of vertices on <em>G</em>, denoted by <em>A</em>(<em>G</em>). The antiadjacency matrix of graph <em>G</em> is a matrix <em>B</em>(<em>G</em>)=<em>J</em>−<em>A</em>(<em>G</em>) where <em>J</em> is an <em>n</em>×<em>n</em> matrixwith all the entries equal to 1. This paper deliver the result of study about the characteristic polynomial of antiadjacency matrix of several graph join, such as multipartite graph, windmill graph, and cone graph.

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Publication Details

Journal
Indonesian Journal of Combinatorics
Published
2024-12-31
DOI
https://doi.org/10.19184/ijc.2024.8.2.2
Primary Topic
Graph theory and applications
Type
article
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article

Characteristic Polynomial of Antiadjacency Matrix of Several Classes of Graph Join

Ganesha Lapenangga Putra, Anthony Arthur Ataupah
Indonesian Journal of Combinatorics
Graph theory and applications
article

Characteristic Polynomial of Antiadjacency Matrix of Several Classes of Graph Join

Ganesha Lapenangga Putra, Anthony Arthur Ataupah
article en

Abstract

Suppose <em>G</em> is a simple and undirected graph. The adjacency matrix of graph <em>G</em>, denoted by <em>A</em>(<em>G</em>) is a square matrix that representing graph <em>G</em> based on the adjacency of vertices on <em>G</em>, denoted by <em>A</em>(<em>G</em>). The antiadjacency matrix of graph <em>G</em> is a matrix <em>B</em>(<em>G</em>)=<em>J</em>−<em>A</em>(<em>G</em>) where <em>J</em> is an <em>n</em>×<em>n</em> matrixwith all the entries equal to 1. This paper deliver the result of study about the characteristic polynomial of antiadjacency matrix of several graph join, such as multipartite graph, windmill graph, and cone graph.

Indonesian Journal of CombinatoricsVol. 8(2)
University of Nusa Cendana (ID)
Openalex Percentile: Top 61%
Graph theory and applications
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