Coalescing sets preserving cospectrality of graphs arising from block similarity matrices
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.
Authors
- Steve Butler (ORCID: https://orcid.org/0000-0002-8486-3473)
- Hannah Graff
- Noah Owen
- Sajid Bin Mahamud
- Nick Layman
- Taylor Luck
- Angela Yuan
- Jiah Jin
Institutions
- Creighton University (US)
- University of Kentucky (US)
- Iowa State University (US)
- Reed College (US)
- Cooper Union (US)
- The University of Texas at Austin (US)
Publication Details
- Journal
- Electronic Journal of Linear Algebra
- Published
- 2024-12-04
- DOI
- https://doi.org/10.13001/ela.2024.8619
- Citations
- 1
- Primary Topic
- Graph theory and applications
- Type
- article
- Field-Weighted Citation Impact
- 1.01
Funders
- National Science Foundation
- Iowa State University