2016
DOI: 10.1016/j.jcta.2016.04.004
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Some spectral and quasi-spectral characterizations of distance-regular graphs

Abstract: In this paper we consider the concept of preintersection numbers of a graph. These numbers are determined by the spectrum of the adjacency matrix of the graph, and generalize the intersection numbers of a distance-regular graph. By using the preintersection numbers we give some new spectral and quasi-spectral characterizations of distance-regularity, in particular for graphs with large girth or large odd-girth.Mathematics Subject Classifications: 05E30, 05C50.

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Cited by 13 publications
(20 citation statements)
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“…. , d. In fact, in our case it can be proved that the betas and gammas are negative, in a similar way as in [1,Lemma 2.3]. Also, similar as in the case of the adjacency predistance polynomials, it can be proved…”
Section: Laplacian Predistance and Hoffman Polynomialssupporting
confidence: 81%
“…. , d. In fact, in our case it can be proved that the betas and gammas are negative, in a similar way as in [1,Lemma 2.3]. Also, similar as in the case of the adjacency predistance polynomials, it can be proved…”
Section: Laplacian Predistance and Hoffman Polynomialssupporting
confidence: 81%
“…Abiad, Van Dam, and Fiol [1] proved Theorem 6 independently. 22 Higman-Sims [30, 25] P G(2, q): projective plane, GQ(q, q): generalized quadrangle, GH(q, q): generalized hexagon, q: prime power Remark 6.…”
Section: Minimizing the Second-largest Eigenvaluementioning
confidence: 95%
“…Since the diameter is at most t − 1, the graph satisfies g ≥ 2d − 2, where g is the girth and d is the diameter. By g ≥ 2d − 2, the graph becomes a distance-regular graph [1,Theorem 4.4], [29], and it must have the quotient matrix B(k, t, c) for 1 ≤ c < k, or B(k, t − 1, 1) for c = k (see Proposition 4.6 below). Conversely the distance-regular graph with the quotient matrix B(k, t, c) clearly attains the bound M(k, t, c).…”
Section: Upper Bound For Bipartite Graphs With Given Second Eigenvaluementioning
confidence: 99%