The Expander Hitting Property When the Sets Are Arbitrarily Unbalanced

Amnon Ta-Shma*, Ron Zadicario*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Numerous works have studied the probability that a length t − 1 random walk on an expander is confined to a given rectangle S1 × . . . × St, providing both upper and lower bounds for this probability. However, when the densities of the sets Si may depend on the walk length (e.g., when all set are equal and the density is 1 − 1/t), the currently best known upper and lower bounds are very far from each other. We give an improved confinement lower bound that almost matches the upper bound. We also study the more general question, of how well random walks fool various classes of test functions. Recently, Golowich and Vadhan proved that random walks on λ-expanders fool Boolean, symmetric functions up to a O(λ) error in total variation distance, with no dependence on the labeling bias. Our techniques extend this result to cases not covered by it, e.g., to functions testing confinement to S1 × . . . × St, where each set Si either has density ρ or 1 − ρ, for arbitrary ρ. Technique-wise, we extend Beck’s framework for analyzing what is often referred to as the “flow” of linear operators, reducing it to bounding the entries of a product of 2 × 2 matrices.

Original languageEnglish
Title of host publicationApproximation, Randomization, and Combinatorial Optimization. Algorithms and Techniques, APPROX/RANDOM 2024
EditorsAmit Kumar, Noga Ron-Zewi
PublisherSchloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing
ISBN (Electronic)9783959773485
DOIs
StatePublished - Sep 2024
Event27th International Conference on Approximation Algorithms for Combinatorial Optimization Problems, APPROX 2024 and the 28th International Conference on Randomization and Computation, RANDOM 2024 - London, United Kingdom
Duration: 28 Aug 202430 Aug 2024

Publication series

NameLeibniz International Proceedings in Informatics, LIPIcs
Volume317
ISSN (Print)1868-8969

Conference

Conference27th International Conference on Approximation Algorithms for Combinatorial Optimization Problems, APPROX 2024 and the 28th International Conference on Randomization and Computation, RANDOM 2024
Country/TerritoryUnited Kingdom
CityLondon
Period28/08/2430/08/24

Keywords

  • Expander hitting property
  • Expander random walks

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