Characterizing the Signless Laplacian H-Spectral Radius for Uniform Directed Hypergraphs

The importance of the signless Laplacian H-spectral radius is highlighted by its known links to connectivity and the maximum cut and independence number. In this paper, we establish signless Laplacian H-spectral radius bounds by simultaneously incorporating both pairwise and higher-order outdegree information. In contrast to the important estimates based solely on the maximum outdegree, our approach yields substantially improved bounds by leveraging richer structural parameters. We further introduce outdegree regularity and semiregularity, under which the tightness of the proposed bounds is fully characterized. Based on similarity transformations, we construct improved bounds using average two-outdegree data. These bounds reveal distinct behaviors between the adjacency and signless Laplacian H-spectral radius of directed hypergraphs. Numerical examples are provided to illustrate the effectiveness of these bounds.

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Publication Details

Journal
Axioms
Published
2026-09-15
DOI
https://doi.org/10.3390/axioms15090685
Primary Topic
Graph theory and applications
Type
article
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Characterizing the Signless Laplacian H-Spectral Radius for Uniform Directed Hypergraphs

Qiuling Hou, Gang Wang, Hongchun Sun, Hanqing Song et al.
Axioms
Graph theory and applications
article

Characterizing the Signless Laplacian H-Spectral Radius for Uniform Directed Hypergraphs

Qiuling Hou, Gang Wang, Hongchun Sun, Hanqing Song, Quanfeng Xin
article en

Abstract

The importance of the signless Laplacian H-spectral radius is highlighted by its known links to connectivity and the maximum cut and independence number. In this paper, we establish signless Laplacian H-spectral radius bounds by simultaneously incorporating both pairwise and higher-order outdegree information. In contrast to the important estimates based solely on the maximum outdegree, our approach yields substantially improved bounds by leveraging richer structural parameters. We further introduce outdegree regularity and semiregularity, under which the tightness of the proposed bounds is fully characterized. Based on similarity transformations, we construct improved bounds using average two-outdegree data. These bounds reveal distinct behaviors between the adjacency and signless Laplacian H-spectral radius of directed hypergraphs. Numerical examples are provided to illustrate the effectiveness of these bounds.

AxiomsVol. 15(9)
Linyi University (CN), Qufu Normal University (CN)
Openalex Percentile: Top 5%
Graph theory and applications
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Characterizing the Signless Laplacian H-Spectral Radius for Uniform Directed Hypergraphs — Qiuling Hou, Gang Wang, et al. · Axioms (2026) | TGRS Research Map | TGRS