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.

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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
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article

Spectral methods for matrix product factorization

Fu-Tao Hu, Babak Miraftab, Saieed Akbari, Yi Wang et al.
2 citations
Linear Algebra and its Applications
Advanced Computing and Algorithms
12.35
article

Spectral methods for matrix product factorization

Fu-Tao Hu, Babak Miraftab, Saieed Akbari, Yi Wang, Yi-Zheng Fan
article en
2 citations

Abstract

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.

Linear Algebra and its ApplicationsVol. 709
Sharif University of Technology (IR), Department of Mathematical Sciences (RU), Carleton University (CA), Mathematical Sciences Research Institute (US)
Decent work and economic growth
Openalex Percentile: Top 3%
Advanced Computing and Algorithms
12.35
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Spectral methods for matrix product factorization — Fu-Tao Hu, Babak Miraftab, et al. · Linear Algebra and its Applications (2025) | TGRS Research Map | TGRS