Vertex connectivity in poly-logarithmic max-flows

J Li, D Nanongkai, D Panigrahi, T Saranurak… - Proceedings of the 53rd …, 2021 - dl.acm.org
Proceedings of the 53rd Annual ACM SIGACT Symposium on Theory of Computing, 2021dl.acm.org
The vertex connectivity of an m-edge n-vertex undirected graph is the smallest number of
vertices whose removal disconnects the graph, or leaves only a singleton vertex. In this
paper, we give a reduction from the vertex connectivity problem to a set of maxflow
instances. Using this reduction, we can solve vertex connectivity in (m α) time for any α≥ 1, if
there is am α-time maxflow algorithm. Using the current best maxflow algorithm that runs in
m 4/3+ o (1) time (Kathuria, Liu and Sidford, FOCS 2020), this yields am 4/3+ o (1)-time …
The vertex connectivity of an m-edge n-vertex undirected graph is the smallest number of vertices whose removal disconnects the graph, or leaves only a singleton vertex. In this paper, we give a reduction from the vertex connectivity problem to a set of maxflow instances. Using this reduction, we can solve vertex connectivity in (mα) time for any α ≥ 1, if there is a mα-time maxflow algorithm. Using the current best maxflow algorithm that runs in m4/3+o(1) time (Kathuria, Liu and Sidford, FOCS 2020), this yields a m4/3+o(1)-time vertex connectivity algorithm. This is the first improvement in the running time of the vertex connectivity problem in over 20 years, the previous best being an Õ(mn)-time algorithm due to Henzinger, Rao, and Gabow (FOCS 1996). Indeed, no algorithm with an o(mn) running time was known before our work, even if we assume an (m)-time maxflow algorithm.
Our new technique is robust enough to also improve the best Õ(mn)-time bound for directed vertex connectivity to mn1−1/12+o(1) time
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