On the hardness of approximating the k-way hypergraph cut problem

被引:0
|
作者
Chekuri, Chandra [1 ]
Li, Shi [2 ]
机构
[1] Department of Computer Science, University of Illinois, Urbana,IL,61801, United States
[2] Department of Computer Science and Engineering, University at Buffalo, Buffalo,NY,14260, United States
来源
Theory of Computing | 2020年 / 16卷
基金
美国国家科学基金会;
关键词
D O I
10.4086/TOC.2020.V016A014
中图分类号
学科分类号
摘要
We consider the approximability of the k-WAY HYPERGRAPH CUT problem: the input is an edge-weighted hypergraph G = (V, E) and an integer k and the goal is to remove a min-weight subset of the edges such that the residual hypergraph has at least k connected components. When G is a graph this problem admits a 2(1 − 1/k)-approximation (Saran and Vazirani, SIAM J. Comput. 1995). However, there has been no non-trivial approximation ratio for general hypergraphs. In this note we show, via a very simple reduction, that an α-approximation for k-WAY HYPERGRAPH CUT implies an α2-approximation for the DENSEST -SUBGRAPH problem. Our reduction combined with the hardness result of (Manurangsi, STOC’17) implies that under the Exponential Time Hypothesis (ETH), there is no n1/(loglogn)c -approximation for k-WAY HYPERGRAPH CUT where c > 0 is a universal constant and n is the number of nodes. k-WAY HYPERGRAPH CUT is a special case of k-WAY SUBMODULAR PARTITION and hence our hardness applies to this latter problem as well. These hardness results are in contrast to a 2-approximation for closely related problems where the goal is to separate k given terminals (Chekuri and Ene, FOCS’11), (Ene et al., SODA’13). © 2020 Chandra Chekuri and Shi Li.
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