On the core-nilpotent decomposition of threshold graphs

In this work, we show that the core-nilpotent decomposition of the adjacency matrix \(A(G)\) of a threshold graph \(G\) can be obtained directly from the graph through its null decomposition. More precisely, we construct two invertible matrices \(Q\) and \(C\), defined in terms of the adjacency relations of \(G\), such that $Q^{-1}A(G)Q$ is a block diagonal matrix with two blocks. The first block is \(C\), an \(r\times r\) matrix satisfying $\operatorname{rk}(C)=\operatorname{rk}(A(G))=r$, and the second block is the zero matrix. Consequently, the core-nilpotent decomposition of \(A(G)\) can be read directly from the combinatorial structure of \(G\).

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Publication Details

Journal
Electronic Journal of Linear Algebra
Published
2026-10-26
DOI
https://doi.org/10.13001/ela.2026.10371
Primary Topic
Graph theory and applications
Type
article
Field-Weighted Citation Impact
0.00

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article

On the core-nilpotent decomposition of threshold graphs

Daniel Alejandro Jaume, Maikon Machado Toledo, Cristian Panelo
Electronic Journal of Linear Algebra
Graph theory and applications
article

On the core-nilpotent decomposition of threshold graphs

Daniel Alejandro Jaume, Maikon Machado Toledo, Cristian Panelo
article en

Abstract

In this work, we show that the core-nilpotent decomposition of the adjacency matrix \(A(G)\) of a threshold graph \(G\) can be obtained directly from the graph through its null decomposition. More precisely, we construct two invertible matrices \(Q\) and \(C\), defined in terms of the adjacency relations of \(G\), such that $Q^{-1}A(G)Q$ is a block diagonal matrix with two blocks. The first block is \(C\), an \(r\times r\) matrix satisfying $\operatorname{rk}(C)=\operatorname{rk}(A(G))=r$, and the second block is the zero matrix. Consequently, the core-nilpotent decomposition of \(A(G)\) can be read directly from the combinatorial structure of \(G\).

Electronic Journal of Linear AlgebraVol. 42
National University of San Luis (AR)
Universidad Nacional de San Luis, Consejo Nacional de Investigaciones Científicas y Técnicas, Agencia Nacional de Promoción de la Investigación, el Desarrollo Tecnológico y la Innovación
Openalex Percentile: Top 7%
Graph theory and applications
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