11 research outputs found

    On the spectral radius of clique trees with a given zero forcing number

    Full text link
    Let G(n,k)G(n,k) be the class of clique trees on nn vertices and zero forcing number kk, where ⌊n2βŒ‹+1≀k≀nβˆ’1\left \lfloor \frac{n}{2} \right \rfloor + 1 \le k \le n-1 and each block is a clique of size at least 33. In this article, we proved the existence and uniqueness of a clique tree in G(n,k)G(n,k) that attains maximal spectral radius among all graphs in G(n,k)G(n,k). We also provide an upper bound for the spectral radius of the extremal graph.Comment: 11 pages, 2 figures. arXiv admin note: text overlap with arXiv:2301.1279

    On the spectral radius of block graphs with a given dissociation number

    Full text link
    In this manuscript, we consider the spectral radius of graphs in the class of block graphs Bl(k,Ο†)\mathbf{Bl}(\textbf{k}, \varphi) with a fixed number of vertices k\textbf{k} and a given dissociation number Ο†\varphi. We first prove a few elementary results on the adjacency matrix of a graph, the spectral radius and a corresponding Perron vector. Using these results, we show a graph with maximal spectral radius in Bl(k,Ο†)\mathbf{Bl}(\textbf{k}, \varphi) satisfies a few necessary properties. These properties guarantee the existence and uniqueness of the block graph Bk,Ο†\mathbb{B}_{\textbf{k},\varphi} that maximize the spectral radius in Bl(k,Ο†)\mathbf{Bl}(\textbf{k}, \varphi). Finally, we obtain bounds on the spectral radius of Bk,Ο†\mathbb{B}_{\textbf{k},\varphi}

    Inverse of the Squared Distance Matrix of a Complete Multipartite Graph

    Full text link
    Let GG be a connected graph on nn vertices and dijd_{ij} be the length of the shortest path between vertices ii and jj in GG. We set dii=0d_{ii}=0 for every vertex ii in GG. The squared distance matrix Ξ”(G)\Delta(G) of GG is the nΓ—nn\times n matrix with (i,j)th(i,j)^{th} entry equal to 00 if i=ji = j and equal to dij2d_{ij}^2 if iβ‰ ji \neq j. For a given complete tt-partite graph Kn1,n2,⋯ ,ntK_{n_1,n_2,\cdots,n_t} on n=βˆ‘i=1tnin=\sum_{i=1}^t n_i vertices, under some condition we find the inverse Ξ”(Kn1,n2,⋯ ,nt)βˆ’1\Delta(K_{n_1,n_2,\cdots,n_t})^{-1} as a rank-one perturbation of a symmetric Laplacian-like matrix L\mathcal{L} with rank(L)=nβˆ’1\textup{rank} (\mathcal{L})=n-1. We also investigate the inertia of L\mathcal{L}.Comment: arXiv admin note: substantial text overlap with arXiv:2012.0434

    On Squared Distance Matrix of Complete Multipartite Graphs

    Full text link
    Let G=Kn1,n2,⋯ ,ntG = K_{n_1,n_2,\cdots,n_t} be a complete tt-partite graph on n=βˆ‘i=1tnin=\sum_{i=1}^t n_i vertices. The distance between vertices ii and jj in GG, denoted by dijd_{ij} is defined to be the length of the shortest path between ii and jj. The squared distance matrix Ξ”(G)\Delta(G) of GG is the nΓ—nn\times n matrix with (i,j)th(i,j)^{th} entry equal to 00 if i=ji = j and equal to dij2d_{ij}^2 if iβ‰ ji \neq j. We define the squared distance energy EΞ”(G)E_{\Delta}(G) of GG to be the sum of the absolute values of its eigenvalues. We determine the inertia of Ξ”(G)\Delta(G) and compute the squared distance energy EΞ”(G)E_{\Delta}(G). More precisely, we prove that if niβ‰₯2n_i \geq 2 for 1≀i≀t1\leq i \leq t, then EΞ”(G)=8(nβˆ’t) E_{\Delta}(G)=8(n-t) and if h=∣{i:ni=1}∣β‰₯1 h= |\{i : n_i=1\}|\geq 1, then 8(nβˆ’t)+2(hβˆ’1)≀EΞ”(G)<8(nβˆ’t)+2h. 8(n-t)+2(h-1) \leq E_{\Delta}(G) < 8(n-t)+2h. Furthermore, we show that for a fixed value of nn and tt, both the spectral radius of the squared distance matrix and the squared distance energy of complete tt-partite graphs on nn vertices are maximal for complete split graph Sn,tS_{n,t} and minimal for Tur{\'a}n graph Tn,tT_{n,t}

    Das, Joyentanuj

    No full text
    corecore