On resistance matrices of weighted balanced digraphs
R. Balaji, R.B. Bapat, Shivani Goel

TL;DR
This paper generalizes the inverse formula for resistance matrices from undirected graphs to weighted balanced directed graphs, providing new theoretical insights and a perturbation result.
Contribution
It extends the inverse resistance matrix formula to matrix-weighted balanced digraphs and explores properties of generalized resistance in this context.
Findings
Derived an inverse formula for generalized resistance matrices of weighted balanced digraphs.
Showed that scalar weights lead to non-negative resistance values.
Established a perturbation result relating resistance matrices and Laplacians.
Abstract
Let be a connected graph with . Then the resistance distance between any two vertices and is given by , where is the entry of the Moore-Penrose inverse of the Laplacian matrix of . For the resistance matrix , there is an elegant formula to compute the inverse of . This says that \[R^{-1}=-\frac{1}{2}L + \frac{1}{\tau' R \tau} \tau \tau', \] where \[\tau:=(\tau_1,\dotsc,\tau_n)'~~\mbox{and}~~ \tau_{i}:=2- \sum_{\{j \in V(G):(i,j) \in E(G)\}} r_{ij}~~~i=1,\dotsc,n. \] A far reaching generalization of this result that gives an inverse formula for a generalized resistance matrix of a strongly connected and matrix weighted balanced directed graph is obtained in this paper. When the weights are scalars, it is shown that the generalized resistance is a…
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Taxonomy
TopicsGraph theory and applications · Molecular Junctions and Nanostructures · Matrix Theory and Algorithms
