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On the graphs having at most one positive eccentricity eigenvalue

Combinatorics 2020-12-22 v1

Abstract

The eccentricity (anti-adjacency) matrix ε(G)\varepsilon(G) of a graph GG is obtained from the distance matrix by retaining the eccentricities in each row and each column. This matrix is first defined in 2018 by Wang et al. \cite{1}. In this paper we have characterized the graphs which have at most one (hence exactly) positive eigenvalue of ε(G)\varepsilon(G).

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Cite

@article{arxiv.2012.10933,
  title  = {On the graphs having at most one positive eccentricity eigenvalue},
  author = {Sezer Sorgun and Hakan Küçük},
  journal= {arXiv preprint arXiv:2012.10933},
  year   = {2020}
}

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13 pages

R2 v1 2026-06-23T21:06:32.117Z