An Exponential Lower Bound for Cut Sparsifiers in Planar Graphs

نویسندگان

  • Nikolai Karpov
  • Marcin Pilipczuk
  • Anna Zych-Pawlewicz
چکیده

Given an edge-weighted graph G with a set Q of k terminals, a mimicking network is a graph with the same set of terminals that exactly preserves the sizes of minimum cuts between any partition of the terminals. A natural question in the area of graph compression is to provide as small mimicking networks as possible for input graph G being either an arbitrary graph or coming from a specific graph class. In this note we show an exponential lower bound for cut mimicking networks in planar graphs: there are edge-weighted planar graphs with k terminals that require 2k−2 edges in any mimicking network. This nearly matches an upper bound of O(k2) of Krauthgamer and Rika [SODA 2013, arXiv:1702.05951] and is in sharp contrast with the O(k) upper bound under the assumption that all terminals lie on a single face [Goranci, Henzinger, Peng, arXiv:1702.01136]. As a side result we show a hard instance for the upper bound of O(22k) given by Hagerup, Katajainen, Nishimura, and Ragde [JCSS 1998].

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تاریخ انتشار 2017