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Exact Weight Subgraphs and the k-Sum Conjecture

机译:精确权重子图和k-和猜想

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We consider the Exact-Weight- H problem of finding a (not necessarily induced) subgraph H of weight 0 in an edge-weighted graph G. We show that for every H, the complexity of this problem is strongly related to that of the infamous k-sum problem. In particular, we show that under the k-sum Conjecture, we can achieve tight upper and lower bounds for the Exact-Weight-H problem for various subgraphs H such as matching, star, path, and cycle. One interesting consequence is that improving on the O(n~3) upper bound for Exact-Weight-4-path or Exact-Weight-5-path will imply improved algorithms for 3-sum, 5-sum, All-Pairs Shortest Paths and other fundamental problems. This is in sharp contrast to the minimum-weight and (unweighted) detection versions, which can be solved easily in time O(n~2). We also show that a faster algorithm for any of the following three problems would yield faster algorithms for the others: 3-sum, Exact-Weight-3-matching, and Exact-Weight-3-star.
机译:我们考虑在边缘加权图G中找到权重为0的(不一定是诱导的)子图H的Exact-Weight-H问题。我们表明,对于每个H,此问题的复杂性都与臭名昭著的问题密切相关。 k-sum问题。特别是,我们证明了在k-sum猜想下,对于各个子图H(例如匹配,星形,路径和周期),我们可以为Exact-Weight-H问题实现严格的上下界。一个有趣的结果是,对“精确权重4”路径或“精确权重5”路径的O(n〜3)上限进行改进将意味着改进了3和,5和,全对最短路径的算法和其他基本问题。这与最小权重和(未加权)检测版本形成鲜明对比,后者可以在时间O(n〜2)内轻松解决。我们还表明,针对以下三个问题中的任何一个问题,使用更快的算法将为其他问题产生更快的算法:3和,精确重量3匹配和精确重量3星。

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