Per-Spectral Characterizations of Bicyclic Networks

Joint Authors

Tingzeng, Wu
Lü, Huazhong

Source

Journal of Applied Mathematics

Issue

Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-5, 5 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2017-05-31

Country of Publication

Egypt

No. of Pages

5

Main Subjects

Mathematics

Abstract EN

Spectral techniques are used for the study of several network properties: community detection, bipartition, clustering, design of highly synchronizable networks, and so forth.

In this paper, we investigate which kinds of bicyclic networks are determined by their per-spectra.

We find that the permanental spectra cannot determine sandglass graphs in general.

When we restrict our consideration to connected graphs or quadrangle-free graphs, sandglass graphs are determined by their permanental spectra.

Furthermore, we construct countless pairs of per-cospectra bicyclic networks.

American Psychological Association (APA)

Tingzeng, Wu& Lü, Huazhong. 2017. Per-Spectral Characterizations of Bicyclic Networks. Journal of Applied Mathematics،Vol. 2017, no. 2017, pp.1-5.
https://search.emarefa.net/detail/BIM-1170017

Modern Language Association (MLA)

Tingzeng, Wu& Lü, Huazhong. Per-Spectral Characterizations of Bicyclic Networks. Journal of Applied Mathematics No. 2017 (2017), pp.1-5.
https://search.emarefa.net/detail/BIM-1170017

American Medical Association (AMA)

Tingzeng, Wu& Lü, Huazhong. Per-Spectral Characterizations of Bicyclic Networks. Journal of Applied Mathematics. 2017. Vol. 2017, no. 2017, pp.1-5.
https://search.emarefa.net/detail/BIM-1170017

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1170017