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The Laplacian energy of random graphs
Authors:Wenxue Du  Yiyang Li
Institution:Center for Combinatorics and LPMC-TJKLC, Nankai University, Tianjin 300071, China
Abstract:Gutman et al. introduced the concepts of energy E(G) and Laplacian energy EL(G) for a simple graph G, and furthermore, they proposed a conjecture that for every graph G, E(G) is not more than EL(G). Unfortunately, the conjecture turns out to be incorrect since Liu et al. and Stevanovi? et al. constructed counterexamples. However, So et al. verified the conjecture for bipartite graphs. In the present paper, we obtain, for a random graph, the lower and upper bounds of the Laplacian energy, and show that the conjecture is true for almost all graphs.
Keywords:Eigenvalues  Graph energy  Laplacian energy  Random graph  Random matrices  Empirical spectral distribution  Limiting spectral distribution
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