106 research outputs found

    Spectral threshold dominance, Brouwer's conjecture and maximality of Laplacian energy

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    The Laplacian energy of a graph is the sum of the distances of the eigenvalues of the Laplacian matrix of the graph to the graph's average degree. The maximum Laplacian energy over all graphs on nn nodes and mm edges is conjectured to be attained for threshold graphs. We prove the conjecture to hold for graphs with the property that for each kk there is a threshold graph on the same number of nodes and edges whose sum of the kk largest Laplacian eigenvalues exceeds that of the kk largest Laplacian eigenvalues of the graph. We call such graphs spectrally threshold dominated. These graphs include split graphs and cographs and spectral threshold dominance is preserved by disjoint unions and taking complements. We conjecture that all graphs are spectrally threshold dominated. This conjecture turns out to be equivalent to Brouwer's conjecture concerning a bound on the sum of the kk largest Laplacian eigenvalues

    Unicyclic Graphs with equal Laplacian Energy

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    We introduce a new operation on a class of graphs with the property that the Laplacian eigenvalues of the input and output graphs are related. Based on this operation, we obtain a family of order (square root of n) noncospectral unicyclic graphs on n vertices with the same Laplacian energy.Comment: 11 pages, 11 figures, slightly modified version of Theorem 1 when compared with original pape

    Laplacian Distribution and Domination

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    Let mG(I)m_G(I) denote the number of Laplacian eigenvalues of a graph GG in an interval II, and let γ(G)\gamma(G) denote its domination number. We extend the recent result mG[0,1)γ(G)m_G[0,1) \leq \gamma(G), and show that isolate-free graphs also satisfy γ(G)mG[2,n]\gamma(G) \leq m_G[2,n]. In pursuit of better understanding Laplacian eigenvalue distribution, we find applications for these inequalities. We relate these spectral parameters with the approximability of γ(G)\gamma(G), showing that γ(G)mG[0,1)∉O(logn)\frac{\gamma(G)}{m_G[0,1)} \not\in O(\log n). However, γ(G)mG[2,n](c+1)γ(G)\gamma(G) \leq m_G[2, n] \leq (c + 1) \gamma(G) for cc-cyclic graphs, c1c \geq 1. For trees TT, γ(T)mT[2,n]2γ(G)\gamma(T) \leq m_T[2, n] \leq 2 \gamma(G)

    Efficient Diagonalization of Symmetric Matrices Associated with Graphs of Small Treewidth

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    A note on Gao’s algorithm for polynomial factorization

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    AbstractShuhong Gao (2003) [6] has proposed an efficient algorithm to factor a bivariate polynomial f over a field F. This algorithm is based on a simple partial differential equation and depends on a crucial fact: the dimension of the polynomial solution space G associated with this differential equation is equal to the number r of absolutely irreducible factors of f. However, this holds only when the characteristic of F is either zero or sufficiently large in terms of the degree of f. In this paper we characterize a vector subspace of G for which the dimension is r, regardless of the characteristic of F, and the properties of Gao’s construction hold. Moreover, we identify a second vector subspace of G that leads to an analogous theory for the rational factorization of f
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