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Erschienen in: Journal of Combinatorial Optimization 2/2019

07.03.2019

The rank of a complex unit gain graph in terms of the rank of its underlying graph

verfasst von: Yong Lu, Ligong Wang, Qiannan Zhou

Erschienen in: Journal of Combinatorial Optimization | Ausgabe 2/2019

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Abstract

Let \(\Phi =(G, \varphi )\) be a complex unit gain graph (or \(\mathbb {T}\)-gain graph) and \(A(\Phi )\) be its adjacency matrix, where G is called the underlying graph of \(\Phi \). The rank of \(\Phi \), denoted by \(r(\Phi )\), is the rank of \(A(\Phi )\). Denote by \(\theta (G)=|E(G)|-|V(G)|+\omega (G)\) the dimension of cycle spaces of G, where |E(G)|, |V(G)| and \(\omega (G)\) are the number of edges, the number of vertices and the number of connected components of G, respectively. In this paper, we investigate bounds for \(r(\Phi )\) in terms of r(G), that is, \(r(G)-2\theta (G)\le r(\Phi )\le r(G)+2\theta (G)\), where r(G) is the rank of G. As an application, we also prove that \(1-\theta (G)\le \frac{r(\Phi )}{r(G)}\le 1+\theta (G)\). All corresponding extremal graphs are characterized.

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Metadaten
Titel
The rank of a complex unit gain graph in terms of the rank of its underlying graph
verfasst von
Yong Lu
Ligong Wang
Qiannan Zhou
Publikationsdatum
07.03.2019
Verlag
Springer US
Erschienen in
Journal of Combinatorial Optimization / Ausgabe 2/2019
Print ISSN: 1382-6905
Elektronische ISSN: 1573-2886
DOI
https://doi.org/10.1007/s10878-019-00397-y

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