Constructing disjoint Steiner trees in Sierpiล„ski graphs

October 25, 2023 ยท The Ethereal ยท ๐Ÿ› Fundamenta Informaticae

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Authors Chenxu Yang, Ping Li, Yaping Mao, Eddie Cheng, Ralf Klasing arXiv ID 2310.16463 Category math.CO: Combinatorics Cross-listed cs.DS Citations 0 Venue Fundamenta Informaticae Last Checked 3 months ago
Abstract
Let $G$ be a graph and $S\subseteq V(G)$ with $|S|\geq 2$. Then the trees $T_1, T_2, \cdots, T_\ell$ in $G$ are \emph{internally disjoint Steiner trees} connecting $S$ (or $S$-Steiner trees) if $E(T_i) \cap E(T_j )=\emptyset$ and $V(T_i)\cap V(T_j)=S$ for every pair of distinct integers $i,j$, $1 \leq i, j \leq \ell$. Similarly, if we only have the condition $E(T_i) \cap E(T_j )=\emptyset$ but without the condition $V(T_i)\cap V(T_j)=S$, then they are \emph{edge-disjoint Steiner trees}. The \emph{generalized $k$-connectivity}, denoted by $ฮบ_k(G)$, of a graph $G$, is defined as $ฮบ_k(G)=\min\{ฮบ_G(S)|S \subseteq V(G) \ \textrm{and} \ |S|=k \}$, where $ฮบ_G(S)$ is the maximum number of internally disjoint $S$-Steiner trees. The \emph{generalized local edge-connectivity} $ฮป_{G}(S)$ is the maximum number of edge-disjoint Steiner trees connecting $S$ in $G$. The {\it generalized $k$-edge-connectivity} $ฮป_k(G)$ of $G$ is defined as $ฮป_k(G)=\min\{ฮป_{G}(S)\,|\,S\subseteq V(G) \ and \ |S|=k\}$. These measures are generalizations of the concepts of connectivity and edge-connectivity, and they and can be used as measures of vulnerability of networks. It is, in general, difficult to compute these generalized connectivities. However, there are precise results for some special classes of graphs. In this paper, we obtain the exact value of $ฮป_{k}(S(n,\ell))$ for $3\leq k\leq \ell^n$, and the exact value of $ฮบ_{k}(S(n,\ell))$ for $3\leq k\leq \ell$, where $S(n, \ell)$ is the Sierpiล„ski graphs with order $\ell^n$. As a direct consequence, these graphs provide additional interesting examples when $ฮป_{k}(S(n,\ell))=ฮบ_{k}(S(n,\ell))$. We also study the some network properties of Sierpiล„ski graphs.
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