Space Complexity of Vertex Connectivity Oracles

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Authors Seth Pettie, Thatchaphol Saranurak, Longhui Yin arXiv ID 2201.00408 Category cs.DS: Data Structures & Algorithms Cross-listed math.CO Citations 12 Last Checked 4 months ago
Abstract
A $k$-vertex connectivity oracle for undirected $G$ is a data structure that, given $u,v\in V(G)$, reports $\min\{k,ΞΊ(u,v)\}$, where $ΞΊ(u,v)$ is the pairwise vertex connectivity between $u,v$. There are three main measures of efficiency: construction time, query time, and space. Prior work of Izsak and Nutov shows that a data structure of total size $\tilde{O}(kn)$ can even be encoded as a $\tilde{O}(k)$-bit labeling scheme so that vertex-connectivity queries can be answered in $\tilde{O}(k)$ time. The construction time is polynomial, but unspecified. In this paper we address the top three complexity measures: Space, Query Time, and Construction Time. We give an $Ξ©(kn)$-bit lower bound on any vertex connectivity oracle. We construct an optimal-space connectivity oracle in max-flow time that answers queries in $O(\log n)$ time, independent of $k$.
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