English

On Squared Distance Matrix of Complete Multipartite Graphs

Combinatorics 2022-12-02 v4

Abstract

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 iji \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 ni2n_i \geq 2 for 1it1\leq i \leq t, then EΔ(G)=8(nt) E_{\Delta}(G)=8(n-t) and if h={i:ni=1}1 h= |\{i : n_i=1\}|\geq 1, then 8(nt)+2(h1)EΔ(G)<8(nt)+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}.

Keywords

Cite

@article{arxiv.2012.04341,
  title  = {On Squared Distance Matrix of Complete Multipartite Graphs},
  author = {Joyentanuj Das and Sumit Mohanty},
  journal= {arXiv preprint arXiv:2012.04341},
  year   = {2022}
}
R2 v1 2026-06-23T20:48:38.531Z