103 research outputs found

    A Construction of Cospectral Graphs

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    In this report, we investigated two questions in the field of spectral graph theory. The first question was whether it is possible to extend recent results to find a large class of graphs uniquely determined by the spectrum of its adjacency matrix. Our investigation led to the discovery of a pair of cospectral graphs which contradicted the existence of such a class. The second question was whether there exists a construction of cospectral graphs that consists of adding a single edge and vertex to a given pair of cospectral graphs. We discovered that such a construction exists, and generated several pairs of cospectral graphs using this method. Further investigation showed that this construction of cospectral graphs is related to two previously studied constructions

    Integral trees of diameter 4

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    An integral tree is a tree whose adjacency matrix has only integer eigenvalues. While most previous work by other authors has been focused either on the very restricted case of balanced trees or on finding trees with diameter as large as possible, we study integral trees of diameter 4. In particular, we characterize all diameter 4 integral trees of the form T(m1, t1) T(m2, t2). In addition we give elegant parametric descriptions of infinite families of integral trees of the form T(m1, t1) · · · T(mn, tn) for any n > 1. We conjecture that we have found all such trees

    Balanced integral trees

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    Descriptive complexity of controllable graphs

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    Let GG be a graph on nn vertices with adjacency matrix AA, and let 1\mathbf{1} be the all-ones vector. We call GG controllable if the set of vectors 1,A1,…,An−11\mathbf{1}, A\mathbf{1}, \dots, A^{n-1}\mathbf{1} spans the whole space Rn\mathbb{R}^n. We characterize the isomorphism problem of controllable graphs in terms of other combinatorial, geometric and logical problems. We also describe a polynomial time algorithm for graph isomorphism that works for almost all graphs.Comment: 14 page

    On graphs with cyclic defect or excess

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    The Moore bound constitutes both an upper bound on the order of a graph of maximum degree dd and diameter D=kD=k and a lower bound on the order of a graph of minimum degree dd and odd girth g=2k+1g=2k+1. Graphs missing or exceeding the Moore bound by ϵ\epsilon are called {\it graphs with defect or excess ϵ\epsilon}, respectively. While {\it Moore graphs} (graphs with ϵ=0\epsilon=0) and graphs with defect or excess 1 have been characterized almost completely, graphs with defect or excess 2 represent a wide unexplored area. Graphs with defect (excess) 2 satisfy the equation Gd,k(A)=Jn+BG_{d,k}(A) = J_n + B (Gd,k(A)=Jn−BG_{d,k}(A) = J_n-B), where AA denotes the adjacency matrix of the graph in question, nn its order, JnJ_n the n×nn\times n matrix whose entries are all 1's, BB the adjacency matrix of a union of vertex-disjoint cycles, and Gd,k(x)G_{d,k}(x) a polynomial with integer coefficients such that the matrix Gd,k(A)G_{d,k}(A) gives the number of paths of length at most kk joining each pair of vertices in the graph. In particular, if BB is the adjacency matrix of a cycle of order nn we call the corresponding graphs \emph{graphs with cyclic defect or excess}; these graphs are the subject of our attention in this paper. We prove the non-existence of infinitely many such graphs. As the highlight of the paper we provide the asymptotic upper bound of O(643d3/2)O(\frac{64}3d^{3/2}) for the number of graphs of odd degree d≥3d\ge3 and cyclic defect or excess. This bound is in fact quite generous, and as a way of illustration, we show the non-existence of some families of graphs of odd degree d≥3d\ge3 and cyclic defect or excess. Actually, we conjecture that, apart from the M\"obius ladder on 8 vertices, no non-trivial graph of any degree ≥3\ge 3 and cyclic defect or excess exists.Comment: 20 pages, 3 Postscript figure

    Constructing Cospectral and Comatching Graphs

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    The matching polynomial is a graph polynomial that does not only have interesting mathematical properties, but also possesses meaningful applications in physics and chemistry. For a simple graph, the matching polynomial enumerates the number of matchings of different sizes in it. Two graphs are comatching if they have the same matching polynomial. Two vertices u, v in a graph G are comatching if G\ u and G\ v are comatching. In 1973, Schwenk proved almost every tree has the same characteristic polynomial with another tree. In this thesis, we extend Schwenk's result to maximal limbs and weighted trees. We also give a construction using 1-vertex extensions for comatching graphs and graphs with an arbitrarily large number of comatching vertices. In addition, we use an alternative definition of matching polynomial for multigraphs to derive new identities for the matching polynomial. These identities are tools used towards our 2-sum construction for comatching vertices and comatching graphs
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