Directed Isoperimetry and Monotonicity Testing: A Dynamical Approach
Renato Ferreira Pinto Jr

TL;DR
This paper introduces a new approach linking isoperimetric inequalities and monotonicity testing for functions on the unit cube, providing a sublinear query complexity monotonicity tester and a novel directed Poincaré inequality using a PDE-based method.
Contribution
It develops a sublinear query complexity monotonicity tester for Lipschitz functions and establishes a directed Poincaré inequality via a PDE approach, connecting isoperimetry and monotonicity.
Findings
Established a $ ilde{O}(rac{ ext{sqrt}(d) M^2)}{ ext{epsilon}^2})$ query complexity for the monotonicity tester.
Proved a directed Poincaré inequality relating monotonicity violations to the directed gradient.
Introduced the directed heat equation as a PDE tool for analyzing monotonicity and isoperimetry.
Abstract
This paper explores the connection between classical isoperimetric inequalities, their directed analogues, and monotonicity testing. We study the setting of real-valued functions on the solid unit cube, where the goal is to test with respect to the distance. Our goals are twofold: to further understand the relationship between classical and directed isoperimetry, and to give a monotonicity tester with sublinear query complexity in this setting. Our main results are 1) an monotonicity tester for -Lipschitz functions with query complexity and, behind this result, 2) the directed Poincar\'e inequality , where the "directed gradient" operator measures the local violations of monotonicity of . To prove the second…
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Taxonomy
TopicsAdvanced Control Systems Optimization · Statistical Methods and Inference · Control Systems and Identification
