Please use this identifier to cite or link to this item: http://dr.iiserpune.ac.in:8080/xmlui/handle/123456789/9014
Title: Constructing cospectral graphs by unfolding non-bipartite graphs
Authors: Kannan, M. Rajesh
Pragada, Shivaramakrishna
WANKHEDE, HITESH
Dept. of Biology
Keywords: Adjacency matrix
Cospectral graphs
Partitioned tensor product
Reflexive and semi reflexive graphs
Unfolding
2024
2024-JUL-WEEK1
TOC-JUL-2024
Issue Date: Nov-2024
Publisher: Elsevier B.V.
Citation: Discrete Applied Mathematics, 357, 264-273.
Abstract: In 2010, Butler introduced the unfolding operation on a bipartite graph to produce two bipartite graphs, which are cospectral for the adjacency and the normalized Laplacian matrices. In this article, we describe how the idea of unfolding a bipartite graph with respect to another bipartite graph can be extended to nonbipartite graphs. In particular, we describe how unfoldings involving reflexive bipartite, semi-reflexive bipartite, and multipartite graphs are used to obtain cospectral nonisomorphic graphs for the adjacency matrix.
URI: https://doi.org/10.1016/j.dam.2024.06.016
http://dr.iiserpune.ac.in:8080/xmlui/handle/123456789/9014
ISSN: 0166-218X
1872-6771
Appears in Collections:JOURNAL ARTICLES

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