Boolean Function Analysis on High-Dimensional Expanders

IF 1 2区 数学 Q1 MATHEMATICS Combinatorica Pub Date : 2024-03-18 DOI:10.1007/s00493-024-00084-5
Yotam Dikstein, Irit Dinur, Yuval Filmus, Prahladh Harsha
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Abstract

We initiate the study of Boolean function analysis on high-dimensional expanders. We give a random-walk based definition of high-dimensional expansion, which coincides with the earlier definition in terms of two-sided link expanders. Using this definition, we describe an analog of the Fourier expansion and the Fourier levels of the Boolean hypercube for simplicial complexes. Our analog is a decomposition into approximate eigenspaces of random walks associated with the simplicial complexes. Our random-walk definition and the decomposition have the additional advantage that they extend to the more general setting of posets, encompassing both high-dimensional expanders and the Grassmann poset, which appears in recent work on the unique games conjecture. We then use this decomposition to extend the Friedgut–Kalai–Naor theorem to high-dimensional expanders. Our results demonstrate that a constant-degree high-dimensional expander can sometimes serve as a sparse model for the Boolean slice or hypercube, and quite possibly additional results from Boolean function analysis can be carried over to this sparse model. Therefore, this model can be viewed as a derandomization of the Boolean slice, containing only \(|X(k-1)|=O(n)\) points in contrast to \(\left( {\begin{array}{c}n\\ k\end{array}}\right) \) points in the (k)-slice (which consists of all n-bit strings with exactly k ones).

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高维扩展器上的布尔函数分析
我们开始研究高维扩展器的布尔函数分析。我们给出了基于随机漫步的高维扩展定义,这与早先用双面链接扩展器给出的定义不谋而合。利用这一定义,我们描述了简单复数的傅里叶展开和布尔超立方的傅里叶级数的类似方法。我们的类比是将与简单复数相关的随机漫步分解为近似的特征空间。我们的随机漫步定义和分解还有一个优势,即它们可以扩展到更一般的正集,包括高维扩展和格拉斯曼正集,这在最近关于唯一博弈猜想的研究中出现过。然后,我们利用这种分解将 Friedgut-Kalai-Naor 定理扩展到高维扩展集。我们的结果表明,常度高维扩展器有时可以作为布尔切片或超立方的稀疏模型,而且布尔函数分析的其他结果很有可能可以延续到这个稀疏模型中。因此,这个模型可以被看作是布尔切片的去随机化,只包含(|X(k-1)|=O(n))点,而不是(k)-切片(由所有 n 位字符串组成,其中正好有 k 个一)中的((left( {\begin{array}{c}n\\ kend{array}\right) \)点。)
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来源期刊
Combinatorica
Combinatorica 数学-数学
CiteScore
1.90
自引率
0.00%
发文量
45
审稿时长
>12 weeks
期刊介绍: COMBINATORICA publishes research papers in English in a variety of areas of combinatorics and the theory of computing, with particular emphasis on general techniques and unifying principles. Typical but not exclusive topics covered by COMBINATORICA are - Combinatorial structures (graphs, hypergraphs, matroids, designs, permutation groups). - Combinatorial optimization. - Combinatorial aspects of geometry and number theory. - Algorithms in combinatorics and related fields. - Computational complexity theory. - Randomization and explicit construction in combinatorics and algorithms.
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