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Aequationes Mathematicae
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Eigenvalues of the adjacency matrix of tetrahedral graphs

Authors: Bose, R.C.; Laskar, Renu;

Eigenvalues of the adjacency matrix of tetrahedral graphs

Abstract

A tetrahedral graph is defined to be a graphG, whose vertices are identified with the\(\left( {\begin{array}{*{20}c} n \\ 3 \\ \end{array} } \right)\) unordered triplets onn symbols, such that vertices are adjacent if and only if the corresponding triplets have two symbols in common. Ifn2(x) denotes the number of verticesy, which are at distance 2 fromx andA(G) denotes the adjacency matrix ofG, thenG has the following properties: P1) the number of vertices is\(\left( {\begin{array}{*{20}c} n \\ 3 \\ \end{array} } \right)\). P2)G is connected and regular. P3)n2(x) = 3/2(n−3)(n−4) for allx inG. P4) the distinct eigenvalues ofA(G) are −3, 2n−9,n−7, 3(n−3). We show that, ifn > 16, then any graphG (with no loops and multiple edges) having the properties P1)–P4) must be a tetrahedral graph. An alternative characterization of tetrahedral graphs has been given by the authors in [1].

Keywords

510.mathematics, topology, Article

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
6
Average
Top 10%
Average
Green
bronze