“…Fourier Analysis on HDX: High dimensional expanders (HDX) are a class of robustly connected complexes that have seen an incredible amount of development and application throughout theoretical computer science in the past few years, most famously in coding theory [DEL + 21, EKZ20, JST21, KO21, KT21b, DDHRZ20, JQST20, DHK + 19] and approximate sampling [ALOV19, AL20, ALO20, CLV20, CLV21, CGŠV21, FGYZ21, JPV21, Liu21, BCC + 21], but also in agreement testing [DK17, DD19, KM20], CSPapproximation [AJT19,BHKL20], and (implicitly) hardness of approximation [KMMS18,KMS18]. In this work, we study a central notion of high dimensional expansion called two-sided local-spectral expansion, originally developed by Dinur and Kaufman [DK17] to build sparse agreement testers.…”