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arxiv: 1811.08322 · v1 · pith:MB3R3P5Dnew · submitted 2018-11-19 · 🧮 math.CO

The generalized distance matrix of digraphs

classification 🧮 math.CO
keywords alphadiagdistancespectraldigraphsmatrixconnecteddigraph
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Let $D(G)$ and $D^Q(G)= Diag(Tr) + D(G)$ be the distance matrix and distance signless Laplacian matrix of a simple strongly connected digraph $G$, respectively, where $Diag(Tr)=\textrm{diag}(D_1,D_2,$ $\ldots,D_n)$ be the diagonal matrix with vertex transmissions of the digraph $G$. To track the gradual change of $D(G)$ into $D^Q(G)$, in this paper, we propose to study the convex combinations of $D(G)$ and $Diag(Tr)$ defined by $$D_\alpha(G)=\alpha Diag(Tr)+(1-\alpha)D(G), \ \ 0\leq \alpha\leq1.$$ This study reduces to merging the distance spectral and distance signless Laplacian spectral theories. The eigenvalue with the largest modulus of $D_\alpha(G)$ is called the $D_\alpha$ spectral radius of $G$, denoted by $\mu_\alpha(G)$. We determine the digraph which attains the maximum (or minimum) $D_\alpha$ spectral radius among all strongly connected digraphs. Moreover, we also determine the digraphs which attain the minimum $D_\alpha$ spectral radius among all strongly connected digraphs with given parameters such as dichromatic number, vertex connectivity or arc connectivity.

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