5,796 research outputs found

    A face cover perspective to 1\ell_1 embeddings of planar graphs

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    It was conjectured by Gupta et al. [Combinatorica04] that every planar graph can be embedded into 1\ell_1 with constant distortion. However, given an nn-vertex weighted planar graph, the best upper bound on the distortion is only O(logn)O(\sqrt{\log n}), by Rao [SoCG99]. In this paper we study the case where there is a set KK of terminals, and the goal is to embed only the terminals into 1\ell_1 with low distortion. In a seminal paper, Okamura and Seymour [J.Comb.Theory81] showed that if all the terminals lie on a single face, they can be embedded isometrically into 1\ell_1. The more general case, where the set of terminals can be covered by γ\gamma faces, was studied by Lee and Sidiropoulos [STOC09] and Chekuri et al. [J.Comb.Theory13]. The state of the art is an upper bound of O(logγ)O(\log \gamma) by Krauthgamer, Lee and Rika [SODA19]. Our contribution is a further improvement on the upper bound to O(logγ)O(\sqrt{\log\gamma}). Since every planar graph has at most O(n)O(n) faces, any further improvement on this result, will be a major breakthrough, directly improving upon Rao's long standing upper bound. Moreover, it is well known that the flow-cut gap equals to the distortion of the best embedding into 1\ell_1. Therefore, our result provides a polynomial time O(logγ)O(\sqrt{\log \gamma})-approximation to the sparsest cut problem on planar graphs, for the case where all the demand pairs can be covered by γ\gamma faces

    Improved guarantees for vertex sparsification in planar graphs

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    Two-sets cut-uncut on planar graphs

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    We study the following Two-Sets Cut-Uncut problem on planar graphs. Therein, one is given an undirected planar graph GG and two sets of vertices SS and TT. The question is, what is the minimum number of edges to remove from GG, such that we separate all of SS from all of TT, while maintaining that every vertex in SS, and respectively in TT, stays in the same connected component. We show that this problem can be solved in time 2S+TnO(1)2^{|S|+|T|} n^{O(1)} with a one-sided error randomized algorithm. Our algorithm implies a polynomial-time algorithm for the network diversion problem on planar graphs, which resolves an open question from the literature. More generally, we show that Two-Sets Cut-Uncut remains fixed-parameter tractable even when parameterized by the number rr of faces in the plane graph covering the terminals STS \cup T, by providing an algorithm of running time 4r+O(r)nO(1)4^{r + O(\sqrt r)} n^{O(1)}.Comment: 22 pages, 5 figure
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