English

Improved Guarantees for Vertex Sparsification in Planar Graphs

Data Structures and Algorithms 2017-12-29 v2

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)G=(V,E) and terminal vertices KVK \subset V with K=k|K| = k, a (vertex) reachability sparsifier of GG is a digraph H=(VH,EH)H=(V_H,E_H), KVHK \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 HH to be a minor of GG. We show any directed graph GG admits a RPM HH of size O(k3)O(k^3), and if GG is planar, then the size of HH improves to O(k2logk)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 Ω(k2)\Omega(k^{2}) vertices. (2) Given a weighted undirected graph G=(V,E)G=(V,E) and terminal vertices KK with K=k|K|=k, an exact (vertex) cut sparsifier of GG is a graph HH with KVHK \subset V_H that preserves the value of minimum-cuts separating any bipartition of KK. We show that planar graphs with all the kk terminals lying on the same face admit exact cut sparsifiers of size O(k2)O(k^{2}) that are also planar. Our result extends to flow and distance sparsifiers. It improves the previous best-known bound of O(k222k)O(k^22^{2k}) for cut and flow sparsifiers by an exponential factor, and matches an Ω(k2)\Omega(k^2) lower-bound for this class of graphs.

Keywords

Cite

@article{arxiv.1702.01136,
  title  = {Improved Guarantees for Vertex Sparsification in Planar Graphs},
  author = {Gramoz Goranci and Monika Henzinger and Pan Peng},
  journal= {arXiv preprint arXiv:1702.01136},
  year   = {2017}
}

Comments

Extended abstract appeared in proceedings of ESA 2017

R2 v1 2026-06-22T18:08:58.057Z