Spectra of complex unit hypergraphs

A complex unit hypergraph is a hypergraph where each vertex-edge incidence is given a complex unit label. We define the adjacency, incidence, Kirchoff Laplacian and normalized Laplacian of a complex unit hypergraph and study each of them. Eigenvalue bounds for the adjacency, Kirchoff Laplacian and normalized Laplacian are also found.Complex unit hypergraphs naturally generalize several hypergraphic structures such as oriented hypergraphs, where vertex-edge incidences are labelled as either $+1$ or $-1$, as well as ordinary hypergraphs. Complex unit hypergraphs also generalize their graphic analogues, which are complex unit gain graphs, signed graphs, and ordinary graphs.

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Publication Details

Journal
The Art of Discrete and Applied Mathematics
Published
2024-11-28
DOI
https://doi.org/10.26493/2590-9770.1577.7ca
Primary Topic
Topological and Geometric Data Analysis
Type
article
Field-Weighted Citation Impact
0.00

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article

Spectra of complex unit hypergraphs

Nathan Reff, Raffaella Mulas
The Art of Discrete and Applied Mathematics
Topological and Geometric Data Analysis
article

Spectra of complex unit hypergraphs

Nathan Reff, Raffaella Mulas
article en

Abstract

A complex unit hypergraph is a hypergraph where each vertex-edge incidence is given a complex unit label. We define the adjacency, incidence, Kirchoff Laplacian and normalized Laplacian of a complex unit hypergraph and study each of them. Eigenvalue bounds for the adjacency, Kirchoff Laplacian and normalized Laplacian are also found.Complex unit hypergraphs naturally generalize several hypergraphic structures such as oriented hypergraphs, where vertex-edge incidences are labelled as either $+1$ or $-1$, as well as ordinary hypergraphs. Complex unit hypergraphs also generalize their graphic analogues, which are complex unit gain graphs, signed graphs, and ordinary graphs.

The Art of Discrete and Applied MathematicsVol. 7(3)
Max Planck Institute for Mathematics in the Sciences (DE), Max Planck Institute for Mathematics (DE), University of Southampton (GB)
Nederlandse Organisatie voor Wetenschappelijk Onderzoek
Openalex Percentile: Top 100%
Topological and Geometric Data Analysis
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