The normalized Laplacian spectrum and complexity of the chained interconnection-networks

In this paper, we present a spectral analysis of the strong prism of the chained polyomino network based on its normalized Laplacian matrix. First, by the decomposition theorem for normalized Laplacian characteristic polynomials in product graphs, we partition the normalized Laplacian matrix of the network into two symmetric matrices LA and LS, explicitly deriving their complete eigenvalue sets. Second, we explore the interconnection between the roots and polynomial terms of the characteristic polynomials of these two matrices. Third, the multiplicative degree-Kirchhoff index for chained networks was derived, which analyzes the properties of the network and is especially important to understand the electrical properties of the network. Finally, the complexity of chained networks was derived. These findings establish a solid foundation for understanding the structural complexity and connectivity of networks.

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Publication Details

Journal
AIP Advances
Published
2026-07-01
DOI
https://doi.org/10.1063/5.0342128
Primary Topic
Graph theory and applications
Type
article
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article

The normalized Laplacian spectrum and complexity of the chained interconnection-networks

Jia‐Bao Liu, Xiao-Juan Tang
AIP Advances
Graph theory and applications
article

The normalized Laplacian spectrum and complexity of the chained interconnection-networks

Jia‐Bao Liu, Xiao-Juan Tang
article en

Abstract

In this paper, we present a spectral analysis of the strong prism of the chained polyomino network based on its normalized Laplacian matrix. First, by the decomposition theorem for normalized Laplacian characteristic polynomials in product graphs, we partition the normalized Laplacian matrix of the network into two symmetric matrices LA and LS, explicitly deriving their complete eigenvalue sets. Second, we explore the interconnection between the roots and polynomial terms of the characteristic polynomials of these two matrices. Third, the multiplicative degree-Kirchhoff index for chained networks was derived, which analyzes the properties of the network and is especially important to understand the electrical properties of the network. Finally, the complexity of chained networks was derived. These findings establish a solid foundation for understanding the structural complexity and connectivity of networks.

AIP AdvancesVol. 16(7)
Anhui Jianzhu University (CN)
Openalex Percentile: Top 4%
Graph theory and applications
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