2019
DOI: 10.5614/ejgta.2019.7.2.8
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Squared distance matrix of a weighted tree

Abstract: Let T be a tree with vertex set {1, . . . , n} such that each edge is assigned a nonzero weight. The squared distance matrix of T, denoted by ∆, is the n × n matrix with (i, j)-element d(i, j) 2 , where d(i, j) is the sum of the weights of the edges on the (ij)-path. We obtain a formula for the determinant of ∆. A formula for ∆ −1 is also obtained, under certain conditions. The results generalize known formulas for the unweighted case.

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Cited by 22 publications
(27 citation statements)
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“…The difficulties encountered earlier in constructing pseudostationary processes may be attributable to the use of the shortest‐path distance metric. This suggests that the earlier exercises should be attempted using other possible choices of the distance metric, such as Euclidean distance or electrical resistance (Bapat, ).…”
Section: Other Distance Metricsmentioning
confidence: 99%
“…The difficulties encountered earlier in constructing pseudostationary processes may be attributable to the use of the shortest‐path distance metric. This suggests that the earlier exercises should be attempted using other possible choices of the distance metric, such as Euclidean distance or electrical resistance (Bapat, ).…”
Section: Other Distance Metricsmentioning
confidence: 99%
“…The Kirchhoff index Kf (G) was defined in [1] as Kf (G) = u<v r uv , where r uv (G) denotes the resistance distance between u and v in G. These novel parameters are in fact intrinsic to the graph theory and has some nice properties and applications in chemistry. For the study of resistance distance and Kirchhoff index, one may be referred to the recent works ( [2], [3], [6]), [13][19]) and the references therein.…”
Section: Introductionmentioning
confidence: 99%
“…The notion of Wiener index based on the resistance distance has proposed in [9]. The formulae for the determinant and the inverse of the resistance matrix of scalar weighted graph are obtained in [2]. Some inequalities for the eigenvalues of the distance matrix of a tree and the eigenvalues of the resistance matrix of any connected graph are established in [12] and [13], respectively.…”
Section: Introductionmentioning
confidence: 99%