Pseudorandomness of Expander Walks via Fourier Analysis on Groups
Fernando Granha Jeronimo, Tushant Mittal, and Sourya Roy

TL;DR
This paper investigates how expander walks can generate pseudorandomness in functions over groups and alphabets, providing improved bounds and Fourier analysis techniques that extend previous results to more general settings.
Contribution
It generalizes and improves bounds on expander walk pseudorandomness for symmetric functions over arbitrary alphabets and groups, using Fourier analysis on groups.
Findings
Symmetric functions are $O(| ext{alphabet}| imes ext{expansion})$-fooled by expander walks.
Further bounds are achieved for Cayley graphs over cyclic groups.
Exponential fooling of certain non-symmetric functions from word maps.
Abstract
One approach to study the pseudorandomness properties of walks on expander graphs is to label the vertices of an expander with elements from an alphabet , and study the mean of functions over . We say expander walks -fool a function if, for any unbiased labeling of the vertices, the expander walk mean is -close to the true mean. We show that: - The class of symmetric functions is -fooled by expander walks over any generic -expander, and any alphabet . This generalizes the result of Cohen, Peri, Ta-Shma [STOC'21] which analyzes it for , and exponentially improves the previous bound of , by Golowich and Vadhan [CCC'22]. Additionally, if the expander is a Cayley graph over , we get a further improved bound of…
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