7 research outputs found

    Complete solution to a problem on the maximal energy of unicyclic bipartite graphs

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    The energy of a simple graph GG, denoted by E(G)E(G), is defined as the sum of the absolute values of all eigenvalues of its adjacency matrix. Denote by CnC_n the cycle, and Pn6P_n^{6} the unicyclic graph obtained by connecting a vertex of C6C_6 with a leaf of Pn−6P_{n-6}\,. Caporossi et al. conjecture that the unicyclic graph with maximal energy is Pn6P_n^6 for n=8,12,14n=8,12,14 and n≥16n\geq 16. In``Y. Hou, I. Gutman and C. Woo, Unicyclic graphs with maximal energy, {\it Linear Algebra Appl.} {\bf 356}(2002), 27--36", the authors proved that E(Pn6)E(P_n^6) is maximal within the class of the unicyclic bipartite nn-vertex graphs differing from CnC_n\,. And they also claimed that the energy of CnC_n and Pn6P_n^6 is quasi-order incomparable and left this as an open problem. In this paper, by utilizing the Coulson integral formula and some knowledge of real analysis, especially by employing certain combinatorial techniques, we show that the energy of Pn6P_n^6 is greater than that of CnC_n for n=8,12,14n=8,12,14 and n≥16n\geq 16, which completely solves this open problem and partially solves the above conjecture.Comment: 8 page

    Solution to a conjecture on the maximal energy of bipartite bicyclic graphs

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    The energy of a simple graph GG, denoted by E(G)E(G), is defined as the sum of the absolute values of all eigenvalues of its adjacency matrix. Let CnC_n denote the cycle of order nn and Pn6,6P^{6,6}_n the graph obtained from joining two cycles C6C_6 by a path Pn−12P_{n-12} with its two leaves. Let Bn\mathscr{B}_n denote the class of all bipartite bicyclic graphs but not the graph Ra,bR_{a,b}, which is obtained from joining two cycles CaC_a and CbC_b (a,b≥10a, b\geq 10 and a≡b≡2 ( mod 4)a \equiv b\equiv 2\, (\,\textmd{mod}\, 4)) by an edge. In [I. Gutman, D. Vidovi\'{c}, Quest for molecular graphs with maximal energy: a computer experiment, {\it J. Chem. Inf. Sci.} {\bf41}(2001), 1002--1005], Gutman and Vidovi\'{c} conjectured that the bicyclic graph with maximal energy is Pn6,6P^{6,6}_n, for n=14n=14 and n≥16n\geq 16. In [X. Li, J. Zhang, On bicyclic graphs with maximal energy, {\it Linear Algebra Appl.} {\bf427}(2007), 87--98], Li and Zhang showed that the conjecture is true for graphs in the class Bn\mathscr{B}_n. However, they could not determine which of the two graphs Ra,bR_{a,b} and Pn6,6P^{6,6}_n has the maximal value of energy. In [B. Furtula, S. Radenkovi\'{c}, I. Gutman, Bicyclic molecular graphs with the greatest energy, {\it J. Serb. Chem. Soc.} {\bf73(4)}(2008), 431--433], numerical computations up to a+b=50a+b=50 were reported, supporting the conjecture. So, it is still necessary to have a mathematical proof to this conjecture. This paper is to show that the energy of Pn6,6P^{6,6}_n is larger than that of Ra,bR_{a,b}, which proves the conjecture for bipartite bicyclic graphs. For non-bipartite bicyclic graphs, the conjecture is still open.Comment: 9 page

    Hardness Results for Total Rainbow Connection of Graphs

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    A total-colored path is total rainbow if both its edges and internal vertices have distinct colors. The total rainbow connection number of a connected graph G, denoted by trc(G), is the smallest number of colors that are needed in a total-coloring of G in order to make G total rainbow connected, that is, any two vertices of G are connected by a total rainbow path. In this paper, we study the computational complexity of total rainbow connection of graphs. We show that deciding whether a given total-coloring of a graph G makes it total rainbow connected is NP-Complete. We also prove that given a graph G, deciding whether trc(G) = 3 is NP-Complete

    Hardness Results for Total Rainbow Connection of Graphs

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    A total-colored path is total rainbow if both its edges and internal vertices have distinct colors. The total rainbow connection number of a connected graph G, denoted by trc(G), is the smallest number of colors that are needed in a total-coloring of G in order to make G total rainbow connected, that is, any two vertices of G are connected by a total rainbow path. In this paper, we study the computational complexity of total rainbow connection of graphs. We show that deciding whether a given total-coloring of a graph G makes it total rainbow connected is NP-Complete. We also prove that given a graph G, deciding whether trc(G) = 3 is NP-Complete
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