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Coalescing sets preserving cospectrality of graphs arising from block similarity matrices

Authors :
Mahamud, Sajid Bin
Butler, Steve
Graff, Hannah
Layman, Nick
Luck, Taylor
Jin, Jiah
Owen, Noah
Yuan, Angela
Publication Year :
2024

Abstract

Coalescing involves gluing one or more rooted graphs onto another graph. Under specific conditions, it is possible to start with cospectral graphs that are coalesced in similar ways that will result in new cospectral graphs. We present a sufficient condition for this based on the block structure of similarity matrices, possibly with additional constraints depending on which type of matrix is being considered. The matrices considered in this paper include the adjacency, Laplacian, signless Laplacian, distance, and generalized distance matrix.

Subjects

Subjects :
Mathematics - Combinatorics

Details

Database :
arXiv
Publication Type :
Report
Accession number :
edsarx.2404.01561
Document Type :
Working Paper