The long path to \sqrt{d} monotonicity testers
APA
(2025). The long path to \sqrt{d} monotonicity testers. SciVideos. https://youtube.com/live/vylMwX7QkqE
MLA
The long path to \sqrt{d} monotonicity testers. SciVideos, May. 12, 2025, https://youtube.com/live/vylMwX7QkqE
BibTex
@misc{ scivideos_ICTS:31839, doi = {}, url = {https://youtube.com/live/vylMwX7QkqE}, author = {}, keywords = {}, language = {en}, title = {The long path to \sqrt{d} monotonicity testers}, publisher = {}, year = {2025}, month = {may}, note = {ICTS:31839 see, \url{https://scivideos.org/icts-tifr/31839}} }
Abstract
Since the early days of property testing, the problem of monotonicity testing has been a central problem of study. Despite the simplicity of the problem, the question has led to a (still continuing) flurry of papers over the past two decades. A long standing open problem has been to determine the non-adaptive complexity of monotonicity testing for Boolean functions on hypergrids.
This talk is about the (almost) resolution of this question, by \sqrt{d} query "path testers". The path to these results is through a beautiful theory of "directed isoperimetry", showing that classic isoperimetric theorems on the Boolean hypercube extend to the directed setting. This fact is surprising, since directed graphs/random walks are often ill-behaved and rarely yield a nice theory. These directed theorems provide an analysis of directed random walks on product domains, which lead to optimal monotonicity testers.
I will present some of the main tools used in these results, and try to provide an intuitive explanation of directed isoperimetric theorems.