On the spectrum of complex unit gain graph
Aniruddha Samanta, M. Rajesh Kannan

TL;DR
This paper investigates the spectral properties of $ ext{T}$-gain graphs, establishing conditions for cospectrality, characterizing trees via spectra, and deriving bounds for spectral radii related to the graph's structure.
Contribution
It introduces new spectral bounds for $ ext{T}$-gain adjacency matrices and characterizes graphs where spectral radius equals maximum vertex degree.
Findings
Spectral radius bounds generalize Hermitian adjacency matrix results.
Characterization of trees via spectral and spectral radius conditions.
Identification of graphs with nonnegative real part matrices up to diagonal unitary similarity.
Abstract
A -gain graph is a simple graph in which a unit complex number is assigned to each orientation of an edge, and its inverse is assigned to the opposite orientation. The associated adjacency matrix is defined canonically, and is called -gain adjacency matrix. Let denote the collection of all -gain adjacency matrices on a graph . In this article, we study the cospectrality of matrices in and we establish equivalent conditions for a graph to be a tree in terms of the spectrum and the spectral radius of matrices in . We identify a class of connected graphs such that for each , the matrices in have nonnegative real part up to diagonal unitary similarity. Then we establish bounds for the spectral radius of -gain adjacency matrices…
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Taxonomy
TopicsGraph theory and applications · Matrix Theory and Algorithms · Synthesis and Properties of Aromatic Compounds
