186 research outputs found

    Rainbow connection in 33-connected graphs

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    An edge-colored graph GG is rainbow connected if any two vertices are connected by a path whose edges have distinct colors. The rainbow connection number of a connected graph GG, denoted by rc(G)rc(G), is the smallest number of colors that are needed in order to make GG rainbow connected. In this paper, we proved that rc(G)≀3(n+1)/5rc(G)\leq 3(n+1)/5 for all 33-connected graphs.Comment: 7 page

    A Tur\'an-type problem on degree sequence

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    Given pβ‰₯0p\geq 0 and a graph GG whose degree sequence is d1,d2,…,dnd_1,d_2,\ldots,d_n, let ep(G)=βˆ‘i=1ndipe_p(G)=\sum_{i=1}^n d_i^p. Caro and Yuster introduced a Tur\'an-type problem for ep(G)e_p(G): given pβ‰₯0p\geq 0, how large can ep(G)e_p(G) be if GG has no subgraph of a particular type. Denote by exp(n,H)ex_p(n,H) the maximum value of ep(G)e_p(G) taken over all graphs with nn vertices that do not contain HH as a subgraph. Clearly, ex1(n,H)=2ex(n,H)ex_1(n,H)=2ex(n,H), where ex(n,H)ex(n,H) denotes the classical Tur\'an number, i.e., the maximum number of edges among all HH-free graphs with nn vertices. Pikhurko and Taraz generalize this Tur\'an-type problem: let ff be a non-negative increasing real function and ef(G)=βˆ‘i=1nf(di)e_f(G)=\sum_{i=1}^n f(d_i), and then define exf(n,H)ex_f(n,H) as the maximum value of ef(G)e_f(G) taken over all graphs with nn vertices that do not contain HH as a subgraph. Observe that exf(n,H)=ex(n,H)ex_f(n,H)=ex(n,H) if f(x)=x/2f(x)=x/2, exf(n,H)=exp(n,H)ex_f(n,H)=ex_p(n,H) if f(x)=xpf(x)=x^p. Bollob\'as and Nikiforov mentioned that it is important to study concrete functions. They gave an example f(x)=Ο•(k)=(xk)f(x)=\phi(k)={x\choose k}, since βˆ‘i=1n(dik)\sum_{i=1}^n{d_i\choose k} counts the (k+1)(k+1)-vertex subgraphs of GG with a dominating vertex. Denote by Tr(n)T_r(n) the rr-partite Tur\'an graph of order nn. In this paper, using the Bollob\'as--Nikiforov's methods, we give some results on exΟ•(n,Kr+1)ex_{\phi}(n,K_{r+1}) (rβ‰₯2)(r\geq 2) as follows: for k=1,2k=1,2, exΟ•(n,Kr+1)=eΟ•(Tr(n))ex_\phi(n,K_{r+1})=e_\phi(T_r(n)); for each kk, there exists a constant c=c(k)c=c(k) such that for every rβ‰₯c(k)r\geq c(k) and sufficiently large nn, exΟ•(n,Kr+1)=eΟ•(Tr(n))ex_\phi(n,K_{r+1})=e_\phi(T_r(n)); for a fixed (r+1)(r+1)-chromatic graph HH and every kk, when nn is sufficiently large, we have exΟ•(n,H)=eΟ•(n,Kr+1)+o(nk+1)ex_\phi(n,H)=e_\phi(n,K_{r+1})+o(n^{k+1}).Comment: 9 page

    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 Pnβˆ’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 nβ‰₯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 nβ‰₯16n\geq 16, which completely solves this open problem and partially solves the above conjecture.Comment: 8 page

    On the maximal energy tree with two maximum degree vertices

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    For a simple graph GG, the energy E(G)E(G) is defined as the sum of the absolute values of all eigenvalues of its adjacent matrix. For Ξ”β‰₯3\Delta\geq 3 and tβ‰₯3t\geq 3, denote by Ta(Ξ”,t)T_a(\Delta,t) (or simply TaT_a) the tree formed from a path PtP_t on tt vertices by attaching Ξ”βˆ’1\Delta-1 P2P_2's on each end of the path PtP_t, and Tb(Ξ”,t)T_b(\Delta, t) (or simply TbT_b) the tree formed from Pt+2P_{t+2} by attaching Ξ”βˆ’1\Delta-1 P2P_2's on an end of the Pt+2P_{t+2} and Ξ”βˆ’2\Delta -2 P2P_2's on the vertex next to the end. In [X. Li, X. Yao, J. Zhang and I. Gutman, Maximum energy trees with two maximum degree vertices, J. Math. Chem. 45(2009), 962--973], Li et al. proved that among trees of order nn with two vertices of maximum degree Ξ”\Delta, the maximal energy tree is either the graph TaT_a or the graph TbT_b, where t=n+4βˆ’4Ξ”β‰₯3t=n+4-4\Delta\geq 3. However, they could not determine which one of TaT_a and TbT_b is the maximal energy tree. This is because the quasi-order method is invalid for comparing their energies. In this paper, we use a new method to determine the maximal energy tree. It turns out that things are more complicated. We prove that the maximal energy tree is TbT_b for Ξ”β‰₯7\Delta\geq 7 and any tβ‰₯3t\geq 3, while the maximal energy tree is TaT_a for Ξ”=3\Delta=3 and any tβ‰₯3t\geq 3. Moreover, for Ξ”=4\Delta=4, the maximal energy tree is TaT_a for all tβ‰₯3t\geq 3 but t=4t=4, for which TbT_b is the maximal energy tree. For Ξ”=5\Delta=5, the maximal energy tree is TbT_b for all tβ‰₯3t\geq 3 but tt is odd and 3≀t≀893\leq t\leq 89, for which TaT_a is the maximal energy tree. For Ξ”=6\Delta=6, the maximal energy tree is TbT_b for all tβ‰₯3t\geq 3 but t=3,5,7t=3,5,7, for which TaT_a is the maximal energy tree. One can see that for most Ξ”\Delta, TbT_b is the maximal energy tree, Ξ”=5\Delta=5 is a turning point, and Ξ”=3\Delta=3 and 4 are exceptional cases.Comment: 16 page
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