Spectral methods for matrix product factorization
A graph G is factored into graphs H and K via a matrix product if there exist adjacency matrices A , B , and C of G , H , and K , respectively, such that A = B C . In this paper, we study the spectral aspects of the matrix product of graphs, including regularity, bipartiteness, and connectivity. We show that if a graph G is factored into a connected graph H and a graph K with no isolated vertices, then certain properties hold. If H is non-bipartite, then G is connected. If H is bipartite and G is not connected, then K is a regular bipartite graph, and consequently, n is even. Furthermore, we show that trees are not factorizable, which answers a question posed by Maghsoudi et al.
Authors
- Fu-Tao Hu (ORCID: https://orcid.org/0000-0002-4719-5146)
- Babak Miraftab (ORCID: https://orcid.org/0000-0001-8232-2502)
- Saieed Akbari
- Yi Wang (ORCID: https://orcid.org/0000-0002-8143-4972)
- Yi-Zheng Fan (ORCID: https://orcid.org/0000-0003-2664-8625)
Institutions
- Sharif University of Technology (IR)
- Department of Mathematical Sciences (RU)
- Carleton University (CA)
- Mathematical Sciences Research Institute (US)
Publication Details
- Journal
- Linear Algebra and its Applications
- Published
- 2025-01-10
- DOI
- https://doi.org/10.1016/j.laa.2025.01.005
- Citations
- 2
- Primary Topic
- Advanced Computing and Algorithms
- Type
- article
- Field-Weighted Citation Impact
- 12.35