Hard Metrics from Cayley Graphs of Abelian Groups

IF 0.7 4区 计算机科学 Q4 COMPUTER SCIENCE, THEORY & METHODS
I. Newman, Y. Rabinovich
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引用次数: 7

Abstract

Hard metrics are the class of extremal metrics with respect to embedding into Euclidean Spaces: their distortion is as bad as it possibly gets, which is Ω(log n). Besides being very interesting objects akin to expanders and good codes, with rich structure of independent interest, such metrics are important for obtaining lower bounds in Combinatorial Optimization, e.g., on the value of MinCut/MaxFlow ratio for multicommodity flows. For more than a decade, a single family of hard metrics was known (see [10,3]). Recently, a different such family was found (see [8]), causing a certain excitement among the researchers in the area. In this paper we present another construction of hard metrics, different from [10,3], and more general yet clearer and simpler than [8]. Our results naturally extend to NEG and to l1.
来自阿贝尔群的Cayley图的硬度量
硬度量是关于嵌入欧几里得空间的极值度量的一类:它们的失真是尽可能糟糕的,它是Ω(log n)。除了是非常有趣的对象,类似于扩展器和良好的代码,具有丰富的独立感兴趣的结构,这样的度量对于获得组合优化中的下界很重要,例如,在MinCut/MaxFlow比率的值上多商品流。十多年来,人们只知道单一的硬指标(见[10,3])。最近,另一个这样的家族被发现(见[8]),引起了该地区研究人员的某种兴奋。在本文中,我们提出了另一种硬度量的构造,与[10,3]不同,它比[8]更一般,但更清晰、更简单。我们的结果自然延伸到NEG和l1。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Theory of Computing
Theory of Computing Computer Science-Computational Theory and Mathematics
CiteScore
2.60
自引率
10.00%
发文量
23
期刊介绍: "Theory of Computing" (ToC) is an online journal dedicated to the widest dissemination, free of charge, of research papers in theoretical computer science. The journal does not differ from the best existing periodicals in its commitment to and method of peer review to ensure the highest quality. The scientific content of ToC is guaranteed by a world-class editorial board.
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