Sharp upper and lower bounds for the spectral radius of a nonnegative weakly irreducible tensor and its applications
Lihua You, Xiaohua Huang, Xiying Yuan

TL;DR
This paper derives precise bounds for the spectral radius of nonnegative weakly irreducible tensors and applies these results to hypergraph spectral properties, enhancing understanding of tensor and hypergraph spectra.
Contribution
It introduces sharp bounds for the spectral radius of nonnegative weakly irreducible tensors and applies them to hypergraph spectral analysis, providing new theoretical tools.
Findings
Established sharp bounds for tensor spectral radius
Applied bounds to hypergraph adjacency spectral radius
Extended results to signless Laplacian spectral radius
Abstract
In this paper, we obtain the sharp upper and lower bounds for the spectral radius of a nonnegative weakly irreducible tensor. We also apply these bounds to the adjacency spectral radius and signless Laplacian spectral radius of a uniform hypergraph.
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Taxonomy
TopicsTensor decomposition and applications · Matrix Theory and Algorithms · Advanced Neuroimaging Techniques and Applications
