光谱膨胀器

Gil Cohen, Itay Cohen
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摘要

Dinitz, Schapira和Valadarsky [DSV17]引入了一个有趣的扩展扩展图的概念——一组扩展图,其性质是该族中每两个连续图只在少数边上不同。这样的一个系列允许只需要很少的边缘更新就可以添加和删除顶点,这使得它们在动态设置中非常有用,例如对于数据中心网络拓扑和用于自修复扩展器的分布式算法的设计。[DSV17]基于光谱膨胀器的Bilu-Linial结构构建了显式膨胀膨胀器[BL06]。然而,膨胀膨胀器的构造最终是边缘膨胀器,因此,[DSV17]提出的一个开放问题是构造谱膨胀膨胀器(SEE)。在这项工作中,我们通过构建具有光谱展开的SEE来解决这个问题,该光谱展开与[BL06]一样,在多对数因子范围内是最优的,并且边缘更新的数量在常量范围内是最优的。我们进一步给出了一个简单的证明,证明了在一个小的可加项范围内接近Ramanujan的SEE的存在性。就像在[DSV17]中一样,我们的构造是基于图和它的提升之间的插值。然而,为了建立光谱展开,我们仔细地权衡了插值图,称为部分提升,以一种使我们能够对其光谱进行精细分析的方式。特别地,在分析的关键点上,我们考虑了部分提升的特征向量结构。
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Spectral Expanding Expanders
Dinitz, Schapira, and Valadarsky [DSV17] introduced the intriguing notion of expanding expanders – a family of expander graphs with the property that every two consecutive graphs in the family differ only on a small number of edges. Such a family allows one to add and remove vertices with only few edge updates, making them useful in dynamic settings such as for datacenter network topologies and for the design of distributed algorithms for self-healing expanders. [DSV17] constructed explicit expanding-expanders based on the Bilu-Linial construction of spectral expanders [BL06]. The construction of expanding expanders, however, ends up being of edge expanders, thus, an open problem raised by [DSV17] is to construct spectral expanding expanders (SEE). In this work, we resolve this question by constructing SEE with spectral expansion which, like [BL06], is optimal up to a poly-logarithmic factor, and the number of edge updates is optimal up to a constant. We further give a simple proof for the existence of SEE that are close to Ramanujan up to a small additive term. As in [DSV17], our construction is based on interpolating between a graph and its lift. However, to establish spectral expansion, we carefully weigh the interpolated graphs, dubbed partial lifts, in a way that enables us to conduct a delicate analysis of their spectrum. In particular, at a crucial point in the analysis, we consider the eigenvectors structure of the partial lifts.
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