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Constructing disjoint Steiner trees in Sierpiński graphs

Published 25 Oct 2023 in math.CO and cs.DS | (2310.16463v3)

Abstract: Let GG be a graph and SV(G)S\subseteq V(G) with S2|S|\geq 2. Then the trees T1,T2,,TT_1, T_2, \cdots, T_\ell in GG are \emph{internally disjoint Steiner trees} connecting SS (or SS-Steiner trees) if E(Ti)E(Tj)=E(T_i) \cap E(T_j )=\emptyset and V(Ti)V(Tj)=SV(T_i)\cap V(T_j)=S for every pair of distinct integers i,ji,j, 1i,j1 \leq i, j \leq \ell. Similarly, if we only have the condition E(Ti)E(Tj)=E(T_i) \cap E(T_j )=\emptyset but without the condition V(Ti)V(Tj)=SV(T_i)\cap V(T_j)=S, then they are \emph{edge-disjoint Steiner trees}. The \emph{generalized kk-connectivity}, denoted by κk(G)\kappa_k(G), of a graph GG, is defined as κk(G)=minκG(S)SV(G) and S=k\kappa_k(G)=\min{\kappa_G(S)|S \subseteq V(G) \ \textrm{and} \ |S|=k }, where κG(S)\kappa_G(S) is the maximum number of internally disjoint SS-Steiner trees. The \emph{generalized local edge-connectivity} λG(S)\lambda_{G}(S) is the maximum number of edge-disjoint Steiner trees connecting SS in GG. The {\it generalized kk-edge-connectivity} λk(G)\lambda_k(G) of GG is defined as λk(G)=minλG(S)SV(G) and S=k\lambda_k(G)=\min{\lambda_{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 λk(S(n,))\lambda_{k}(S(n,\ell)) for 3k<sup>n3\leq k\leq \ell<sup>n, and the exact value of κk(S(n,))\kappa_{k}(S(n,\ell)) for 3k3\leq k\leq \ell, where S(n,)S(n, \ell) is the Sierpi\'{n}ski graphs with order <sup>n\ell<sup>n. As a direct consequence, these graphs provide additional interesting examples when λk(S(n,))=κk(S(n,))\lambda_{k}(S(n,\ell))=\kappa_{k}(S(n,\ell)). We also study the some network properties of Sierpi\'{n}ski graphs.

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