arXiv · 1710.10097
On distance and Laplacian matrices of trees with matrix weights
Abstract
The \emph{distance matrix} of a simple connected graph $G$ is $D(G)=(d_{ij})$, where $d_{ij}$ is the distance between the vertices $i$ and $j$ in $G$. We consider a weighted tree $T$ on $n$ vertices with edge weights are square matrix of same size. The distance $d_{ij}$ between the vertices $i$ and $j$ is the sum of the weight matrices of the edges in the unique path from $i$ to $j$. In this article we establish a characterization for the trees in terms of rank of (matrix) weighted Laplacian matrix associated with it. Then we establish a necessary and sufficient condition for the distance matrix $D$, with matrix weights, to be invertible and the formula for the inverse of $D$, if it exists. Also we study some of the properties of the distance matrices of matrix weighted trees in connection with the Laplacian matrices, g-inverses and eigenvalues.
Explore related subjects
Keep this discovery
Fouzul Atik, M. Rajesh Kannan, R. B. Bapat. 2017-10-27. On distance and Laplacian matrices of trees with matrix weights. https://arxiv.org/abs/1710.10097
Cite the original work for its findings. Save a collection to share your selection of sources.