dc.contributor.author |
Kannan, M. Rajesh |
en_US |
dc.contributor.author |
Pragada, Shivaramakrishna |
en_US |
dc.contributor.author |
WANKHEDE, HITESH |
en_US |
dc.date.accessioned |
2022-04-22T08:11:56Z |
|
dc.date.available |
2022-04-22T08:11:56Z |
|
dc.date.issued |
2022-08 |
en_US |
dc.identifier.citation |
Discrete Mathematics, 348(8), 112916. |
en_US |
dc.identifier.issn |
0012-365X |
en_US |
dc.identifier.uri |
https://doi.org/10.1016/j.disc.2022.112916 |
en_US |
dc.identifier.uri |
http://dr.iiserpune.ac.in:8080/xmlui/handle/123456789/6746 |
|
dc.description.abstract |
In this article, we construct bipartite graphs which are cospectral for both the adjacency and normalized Laplacian matrices using the notion of partitioned tensor products. This extends the construction of Ji, Gong, and Wang [9]. Our proof of the cospectrality of adjacency matrices simplifies the proof of the bipartite case of Godsil and McKay's construction [4], and shows that the corresponding normalized Laplacian matrices are also cospectral. We partially characterize the isomorphism in Godsil and McKay's construction, and generalize Ji et al.'s characterization of the isomorphism to biregular bipartite graphs. The essential idea in characterizing the isomorphism uses Hammack's cancellation law as opposed to Hall's marriage theorem used by Ji et al. |
en_US |
dc.language.iso |
en |
en_US |
dc.publisher |
Elsevier B.V. |
en_US |
dc.subject |
Adjacency matrix |
en_US |
dc.subject |
Normalized Laplacian matrix |
en_US |
dc.subject |
Cospectral bipartite graphs |
en_US |
dc.subject |
Hammack's cancellation law |
en_US |
dc.subject |
Partitioned tensor product |
en_US |
dc.subject |
2022-APR-WEEK2 |
en_US |
dc.subject |
TOC-APR-2022 |
en_US |
dc.subject |
2022 |
en_US |
dc.title |
On the construction of cospectral nonisomorphic bipartite graphs |
en_US |
dc.type |
Article |
en_US |
dc.contributor.department |
Dept. of Mathematics |
en_US |
dc.identifier.sourcetitle |
Discrete Mathematics |
en_US |
dc.publication.originofpublisher |
Foreign |
en_US |