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Autori principali: Bu, Changjiang, Chu, Yue, Zhang, Qingying, Zhou, Jiang
Natura: Preprint
Pubblicazione: 2025
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Accesso online:https://arxiv.org/abs/2509.26202
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author Bu, Changjiang
Chu, Yue
Zhang, Qingying
Zhou, Jiang
author_facet Bu, Changjiang
Chu, Yue
Zhang, Qingying
Zhou, Jiang
contents The Perron-Frobenius theorem of nonnegative matrices is a classical result on spectral theory of matrices, which has wide applications in many domains. In this paper, we give the Perron-Frobenius theorem for dual tensors, that is, a dual tensor with weakly irreducible nonnegative standard part has a positive dual eigenvalue with a positive dual eigenvector. We give an explicit formula for the dual part of the positive dual eigenvector by using generalized inverses of an $M$-matrix. By considering the natural correspondence between tensors (matrices) and hypergraphs (graphs), some basic properties on the positive dual eigenvalue and positive dual eigenvector of hypergraphs are obtained. As applications, we introduce dual centrality measures for vertices of graphs and hypergraphs. By introducing a dual perturbation, vertices that are tied under eigenvector centrality can be effectively distinguished. In our numerical experiments, by perturbing specific structures, we successfully differentiated vertices in regular graphs and hypergraphs that were previously indistinguishable.
format Preprint
id arxiv_https___arxiv_org_abs_2509_26202
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Perron-Frobenius theorem for dual tensors and its applications
Bu, Changjiang
Chu, Yue
Zhang, Qingying
Zhou, Jiang
Combinatorics
The Perron-Frobenius theorem of nonnegative matrices is a classical result on spectral theory of matrices, which has wide applications in many domains. In this paper, we give the Perron-Frobenius theorem for dual tensors, that is, a dual tensor with weakly irreducible nonnegative standard part has a positive dual eigenvalue with a positive dual eigenvector. We give an explicit formula for the dual part of the positive dual eigenvector by using generalized inverses of an $M$-matrix. By considering the natural correspondence between tensors (matrices) and hypergraphs (graphs), some basic properties on the positive dual eigenvalue and positive dual eigenvector of hypergraphs are obtained. As applications, we introduce dual centrality measures for vertices of graphs and hypergraphs. By introducing a dual perturbation, vertices that are tied under eigenvector centrality can be effectively distinguished. In our numerical experiments, by perturbing specific structures, we successfully differentiated vertices in regular graphs and hypergraphs that were previously indistinguishable.
title Perron-Frobenius theorem for dual tensors and its applications
topic Combinatorics
url https://arxiv.org/abs/2509.26202