114 research outputs found

    On the spectral characterization of pineapple graphs

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    The pineapple graph KpqK_p^q is obtained by appending qq pendant edges to a vertex of a complete graph KpK_{p} (q≥1, p≥3q\geq 1,\ p\geq 3). Zhang and Zhang ["Some graphs determined by their spectra", Linear Algebra and its Applications, 431 (2009) 1443-1454] claim that the pineapple graphs are determined by their adjacency spectrum. We show that their claim is false by constructing graphs which are cospectral and non-isomorphic with KpqK_p^q for every p≥4p\geq 4 and various values of qq. In addition we prove that the claim is true if q=2q=2, and refer to the literature for q=1q=1, p=3p=3, and (p,q)=(4,3)(p,q)=(4,3)

    The chromatic index of strongly regular graphs

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    We determine (partly by computer search) the chromatic index (edge-chromatic number) of many strongly regular graphs (SRGs), including the SRGs of degree k≤18k \leq 18 and their complements, the Latin square graphs and their complements, and the triangular graphs and their complements. Moreover, using a recent result of Ferber and Jain it is shown that an SRG of even order nn, which is not the block graph of a Steiner 2-design or its complement, has chromatic index kk, when nn is big enough. Except for the Petersen graph, all investigated connected SRGs of even order have chromatic index equal to their degree, i.e., they are class 1, and we conjecture that this is the case for all connected SRGs of even order.Comment: 10 page

    Regular graphs with maximal energy per vertex

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    We study the energy per vertex in regular graphs. For every k, we give an upper bound for the energy per vertex of a k-regular graph, and show that a graph attains the upper bound if and only if it is the disjoint union of incidence graphs of projective planes of order k-1 or, in case k=2, the disjoint union of triangles and hexagons. For every k, we also construct k-regular subgraphs of incidence graphs of projective planes for which the energy per vertex is close to the upper bound. In this way, we show that this upper bound is asymptotically tight

    The graphs with all but two eigenvalues equal to −2-2 or 00

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    We determine all graphs for which the adjacency matrix has at most two eigenvalues (multiplicities included) not equal to −2-2, or 00, and determine which of these graphs are determined by their adjacency spectrum

    Graph Toughness from Laplacian Eigenvalues

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    On Signed Graphs With at Most Two Eigenvalues Unequal to ±1\pm 1

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    We present the first steps towards the determination of the signed graphs for which the adjacency matrix has all but at most two eigenvalues equal to 1 or -1. Here we deal with the disconnected, the bipartite and the complete signed graphs. In addition, we present many examples which cannot be obtained from an unsigned graph or its negative by switching

    Universal spectra of the disjoint union of regular graphs

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    A universal adjacency matrix of a graph GG with adjacency matrix AA is any matrix of the form U=αA+βI+γJ+δDU = \alpha A + \beta I + \gamma J + \delta D with α≠0\alpha \neq 0, where II is the identity matrix, JJ is the all-ones matrix and DD is the diagonal matrix with the vertex degrees. In the case that GG is the disjoint union of regular graphs, we present an expression for the characteristic polynomials of the various universal adjacency matrices in terms of the characteristic polynomials of the adjacency matrices of the components. As a consequence we obtain a formula for the characteristic polynomial of the Seidel matrix of GG, and the signless Laplacian of the complement of GG (i.e. the join of regular graphs)
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