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Improved Guarantees for Vertex Sparsification in Planar Graphs

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arxiv 1702.01136 v2 pith:GZBV7WEV submitted 2017-02-03 cs.DS

classification cs.DS
keywords graphsparsifiersgraphsplanarvertexverticessizesubset
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abstract

Graph Sparsification aims at compressing large graphs into smaller ones while preserving important characteristics of the input graph. In this work we study Vertex Sparsifiers, i.e., sparsifiers whose goal is to reduce the number of vertices. We focus on the following notions: (1) Given a digraph $G=(V,E)$ and terminal vertices $K \subset V$ with $|K| = k$, a (vertex) reachability sparsifier of $G$ is a digraph $H=(V_H,E_H)$, $K \subset V_H$ that preserves all reachability information among terminal pairs. In this work we introduce the notion of reachability-preserving minors (RPMs) , i.e., we require $H$ to be a minor of $G$. We show any directed graph $G$ admits a RPM $H$ of size $O(k^3)$, and if $G$ is planar, then the size of $H$ improves to $O(k^{2} \log k)$. We complement our upper-bound by showing that there exists an infinite family of grids such that any RPM must have $\Omega(k^{2})$ vertices. (2) Given a weighted undirected graph $G=(V,E)$ and terminal vertices $K$ with $|K|=k$, an exact (vertex) cut sparsifier of $G$ is a graph $H$ with $K \subset V_H$ that preserves the value of minimum-cuts separating any bipartition of $K$. We show that planar graphs with all the $k$ terminals lying on the same face admit exact cut sparsifiers of size $O(k^{2})$ that are also planar. Our result extends to flow and distance sparsifiers. It improves the previous best-known bound of $O(k^22^{2k})$ for cut and flow sparsifiers by an exponential factor, and matches an $\Omega(k^2)$ lower-bound for this class of graphs.

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Cited by 2 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Paths and Intersections: Minimum Realization of Okamura-Seymour Instances

    cs.DS 2026-07 accept novelty 7.0 of 10

    Every OS metric has a unique minimum-crossing medial template; its primal arrangements are precisely the fewest-edge disk realizations, recoverable with realizing lengths in polynomial time.

  2. Paths and Intersections: Recognizing Outerplanar Metrics

    cs.DS 2026-06 unverdicted novelty 7.0 of 10

    Outerplanar metrics admit an O(k^5) recognition algorithm but no O(1)-point local characterization, proved via a repelling-paths condition on shortest-path structures.

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