7 research outputs found

    On Squared Distance Matrix of Complete Multipartite Graphs

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    Let G=Kn1,n2,⋯ ,ntG = K_{n_1,n_2,\cdots,n_t} be a complete tt-partite graph on n=∑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 Δ(G)\Delta(G) of GG is the n×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 i≠ji \neq j. We define the squared distance energy EΔ(G)E_{\Delta}(G) of GG to be the sum of the absolute values of its eigenvalues. We determine the inertia of Δ(G)\Delta(G) and compute the squared distance energy EΔ(G)E_{\Delta}(G). More precisely, we prove that if ni≥2n_i \geq 2 for 1≤i≤t1\leq i \leq t, then EΔ(G)=8(n−t) E_{\Delta}(G)=8(n-t) and if h=∣{i:ni=1}∣≥1 h= |\{i : n_i=1\}|\geq 1, then 8(n−t)+2(h−1)≤EΔ(G)<8(n−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}

    Author index for volumes 101–200

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    Acta Universitatis Sapientiae - Mathematica 2019

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