Greedy Spanners in Euclidean Spaces Admit Sublinear Separators

IF 0.9 3区 计算机科学 Q3 COMPUTER SCIENCE, THEORY & METHODS
Hung Le, Cuong V. Than
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引用次数: 4

Abstract

The greedy spanner in a low dimensional Euclidean space is a fundamental geometric construction that has been extensively studied over three decades as it possesses the two most basic properties of a good spanner: constant maximum degree and constant lightness. Recently, Eppstein and Khodabandeh [28] showed that the greedy spanner in \(\mathbb {R}^2 \) admits a sublinear separator in a strong sense: any subgraph of k vertices of the greedy spanner in \(\mathbb {R}^2 \) has a separator of size \(O(\sqrt {k}) \) . Their technique is inherently planar and is not extensible to higher dimensions. They left showing the existence of a small separator for the greedy spanner in \(\mathbb {R}^d \) for any constant d ≥ 3 as an open problem. In this paper, we resolve the problem of Eppstein and Khodabandeh [28] by showing that any subgraph of k vertices of the greedy spanner in \(\mathbb {R}^d \) has a separator of size O(k1 − 1/d). We introduce a new technique that gives a simple criterion for any geometric graph to have a sublinear separator that we dub τ-lanky: a geometric graph is τ-lanky if any ball of radius r cuts at most τ edges of length at least r in the graph. We show that any τ-lanky geometric graph of n vertices in \(\mathbb {R}^d \) has a separator of size O(τn1 − 1/d). We then derive our main result by showing that the greedy spanner is O(1)-lanky. We indeed obtain a more general result that applies to unit ball graphs and point sets of low fractal dimensions in \(\mathbb {R}^d \) . Our technique naturally extends to doubling metrics. We use the τ-lanky criterion to show that there exists a (1 + ϵ)-spanner for doubling metrics of dimension d with a constant maximum degree and a separator of size \(O(n^{1-\frac{1}{d}}) \) ; this result resolves an open problem posed by Abam and Har-Peled [1] a decade ago. We then introduce another simple criterion for a graph in doubling metrics of dimension d to have a sublinear separator. We use the new criterion to show that the greedy spanner of an n-point metric space of doubling dimension d has a separator of size \(O((n^{1-\frac{1}{d}}) + \log \Delta) \) where Δ is the spread of the metric; the factor log (Δ) is tightly connected to the fact that, unlike its Euclidean counterpart, the greedy spanner in doubling metrics has unbounded maximum degree. Finally, we discuss algorithmic implications of our results.
欧氏空间中的贪婪跨度容许次线性算子
低维欧氏空间中的贪婪扳手是一种基本的几何构造,三十年来一直被广泛研究,因为它具有好扳手的两个最基本的性质:恒定的最大度和恒定的亮度。最近,Eppstein和Khodabande[28]证明了\(\mathbb{R}^2)中的贪婪扳手在强意义上允许次线性分隔符:\(\math bb{R}^2 \)中贪婪扳手的k个顶点的任何子图都有一个大小为\(O(\sqrt{k})\)的分隔符。他们的技术本质上是平面的,不能扩展到更高的维度。对于任何常数d≥3,他们留下来显示贪婪扳手在\(\mathbb{R}^d\)中是否存在小分隔符作为一个开放问题。在本文中,我们通过证明\(\mathbb{R}^d\)中贪婪扳手的k个顶点的任何子图具有大小为O(k1−1/d)的分隔符来解决Eppstein和Khodabande[28]的问题。我们引入了一种新技术,该技术为任何几何图提供了一个简单的标准,使其具有我们称之为τ-lanky的次线性分离器:如果任何半径为r的球在图中切割长度至少为r的至多τ边,则几何图为τ-ranky。我们证明了\(\mathbb{R}^d\)中n个顶点的任何τ-长几何图都有一个大小为O(τn1−1/d)的分隔符。然后,我们通过证明贪婪扳手是O(1)-lanky得到了我们的主要结果。我们确实得到了一个更普遍的结果,适用于\(\mathbb{R}^d\)中的单位球图和低分维数的点集。我们的技术自然扩展到加倍指标。我们使用τ-lanky准则证明了存在一个(1+õ)-扳手,用于具有恒定最大度和大小为\(O(n^{1-\ frac{1}{d})\)的分隔符的维度d的加倍度量;这一结果解决了Abam和Har Peled[1]在十年前提出的一个悬而未决的问题。然后,我们引入了另一个简单的标准,即在维度d的度量加倍中,图具有次线性分隔符。我们使用新的准则证明了加倍维数d的n点度量空间的贪婪扳手具有大小为\(O((n^{1-\frac{1}{d}})+\log\Delta)\的分隔符,其中Δ是度量的扩展;因子日志 (Δ)与这样一个事实紧密相连,即与欧几里得度量不同,加倍度量中的贪婪扳手具有无界的最大度。最后,我们讨论了结果的算法含义。
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
ACM Transactions on Algorithms
ACM Transactions on Algorithms COMPUTER SCIENCE, THEORY & METHODS-MATHEMATICS, APPLIED
CiteScore
3.30
自引率
0.00%
发文量
50
审稿时长
6-12 weeks
期刊介绍: ACM Transactions on Algorithms welcomes submissions of original research of the highest quality dealing with algorithms that are inherently discrete and finite, and having mathematical content in a natural way, either in the objective or in the analysis. Most welcome are new algorithms and data structures, new and improved analyses, and complexity results. Specific areas of computation covered by the journal include combinatorial searches and objects; counting; discrete optimization and approximation; randomization and quantum computation; parallel and distributed computation; algorithms for graphs, geometry, arithmetic, number theory, strings; on-line analysis; cryptography; coding; data compression; learning algorithms; methods of algorithmic analysis; discrete algorithms for application areas such as biology, economics, game theory, communication, computer systems and architecture, hardware design, scientific computing
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