On the Distance Cospectrality of Threshold Graphs

On the Distance Cospectrality of Threshold Graphs

Year:    2022

Author:    Zhenzhen Lou, Jianfeng Wang, Qiongxiang Huang

CSIAM Transactions on Applied Mathematics, Vol. 3 (2022), Iss. 2 : pp. 335–350

Abstract

A threshold graph can be represented as the binary sequence. In this paper, we present an explicit formula for computing the distance characteristic polynomial of a threshold graph from its binary sequence, and then give a necessary and sufficient condition to characterize two distance cospectral but non-isomorphic threshold graphs. As its applications, we obtain many families of distance cospectral threshold graphs. This provides a negative answer to the problem posed in [22].

You do not have full access to this article.

Already a Subscriber? Sign in as an individual or via your institution

Journal Article Details

Publisher Name:    Global Science Press

Language:    English

DOI:    https://doi.org/10.4208/csiam-am.SO-2021-0005

CSIAM Transactions on Applied Mathematics, Vol. 3 (2022), Iss. 2 : pp. 335–350

Published online:    2022-01

AMS Subject Headings:    Global Science Press

Copyright:    COPYRIGHT: © Global Science Press

Pages:    16

Keywords:    Threshold graph distance matrix spectrum characteristic polynomial.

Author Details

Zhenzhen Lou

Jianfeng Wang

Qiongxiang Huang