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Research Article | Open Access

Kronecker product decomposition of Boolean matrix with application to topological structure analysis of Boolean networks

Xiaomeng WeiHaitao Li( )Guodong Zhao
School of Mathematics and Statistics, Shandong Normal University, Jinan 250358, China
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Abstract

This paper investigated the Kronecker product (KP) decomposition of the Boolean matrix and analyzed the topological structure of Kronecker product Boolean networks (KPBNs). First, the support matrix set of the Boolean matrix consisting of support matrices was defined. Second, a verifiable condition was presented for the KP decomposition of the Boolean matrix based on the support matrices. Third, the equivalence of KP decomposition between the Boolean matrix and support matrix set was established. Finally, the KP decomposition of Boolean matrix was used to analyze the topological structure of KPBNs. It was shown that the topological structure of KPBNs can be determined by that of the factor of Boolean networks (BNs).

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Mathematical Modelling and Control
Pages 306-315

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Cite this article:
Wei X, Li H, Zhao G. Kronecker product decomposition of Boolean matrix with application to topological structure analysis of Boolean networks. Mathematical Modelling and Control, 2023, 3(4): 306-315. https://doi.org/10.3934/mmc.2023025

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Received: 30 December 2022
Revised: 01 April 2023
Accepted: 25 April 2023
Published: 15 December 2023
©2023 the Author(s), licensee AIMS Press.

This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0)