We present a new construction of high dimensional expanders based on covering spaces of simplicial complexes. High dimensional expanders (HDXs) are hypergraph analogues of expander graphs. They have many uses in theoretical computer science, but unfortunately only few constructions are known which have arbitrarily small local spectral expansion. We give a randomized algorithm that takes as input a high dimensional expander $X$ (satisfying some mild assumptions). It outputs a sub-complex $Y \subseteq X$ that is a high dimensional expander and has infinitely many simplicial covers. These covers form new families of bounded-degree high dimensional expanders. The sub-complex $Y$ inherits $X$'s underlying graph and its links are sparsifications of the links of $X$. When the size of the links of $X$ is $O(\log |X|)$, this algorithm can be made deterministic. Our algorithm is based on the groups and generating sets discovered by Lubotzky, Samuels and Vishne (2005), that were used to construct the first discovered high dimensional expanders. We show these groups give rise to many more ``randomized'' high dimensional expanders. In addition, our techniques also give a random sparsification algorithm for high dimensional expanders, that maintains its local spectral properties. This may be of independent interest.
翻译:我们展示了基于简单复合体覆盖空间的新型高维扩张器。 高维扩张器( HDXs) 是扩张器图的高光学模拟器。 它们有许多在理论计算机科学中的用途, 但不幸的是, 已知的、 任意小于本地光谱扩张的建筑为数不多。 我们给出了一个随机化算法, 输入高维扩张器$X美元( 满足一些轻度假设 ) 。 它产生一个子复合器$Y subsetequal X$, 是一个高维扩张器, 并拥有无限的简单覆盖层。 这些计算法包括了新组合的封闭度高光度高度扩张器。 亚光度的美元继承了美元的基本图形, 其链接是 $X 的连接。 当 $X 的链接大小可能是 $O (\ log ⁇ X ⁇ ) 美元时, 这种算法可以成为确定性。 我们的算法基于由Lobtzky、 Samue和Vishne (2005) 构成新的组合。 这些组合是用来构建高光度高分辨率,, 并且显示这些高分辨率的高度的构建了我们所发现的高度的高度的自我结构。