On the beck-fiala conjecture for random set systems

Esther Ezra, Shachar Lovett

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

Abstract

Motivated by the Beck-Fiala conjecture, we study discrepancy bounds for random sparse set systems. Concretely, these are set systems (X, Σ), where each element x € X lies in t randomly selected sets of Σ, where t is an integer parameter. We provide new bounds in two regimes of parameters. We show that when |Σ| ≥ |X| the hereditary discrepancy of (X, Σ) is with high probability O(p t log t); and when |X| > |Σ|t the hereditary discrepancy of (X, Σ) is with high probability O(1). The first bound combines the Lovász Local Lemma with a new argument based on partial matchings; the second follows from an analysis of the lattice spanned by sparse vectors.

Original languageEnglish
Title of host publicationApproximation, Randomization, and Combinatorial Optimization. Algorithms and Techniques - 19th International Workshop, APPROX 2016 and 20th International Workshop, RANDOM 2016
EditorsKlaus Jansen, Claire Mathieu, Jose D. P. Rolim, Chris Umans
PublisherSchloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing
ISBN (Electronic)9783959770187
DOIs
StatePublished - 1 Sep 2016
Externally publishedYes
Event19th International Workshop on Approximation Algorithms for Combinatorial Optimization Problems, APPROX 2016 and the 20th International Workshop on Randomization and Computation, RANDOM 2016 - Paris, France
Duration: 7 Sep 20169 Sep 2016

Publication series

NameLeibniz International Proceedings in Informatics, LIPIcs
Volume60

Conference

Conference19th International Workshop on Approximation Algorithms for Combinatorial Optimization Problems, APPROX 2016 and the 20th International Workshop on Randomization and Computation, RANDOM 2016
Country/TerritoryFrance
CityParis
Period7/09/169/09/16

Keywords

  • Beck-Fiala conjecture
  • Discrepancy theory
  • Random set systems

All Science Journal Classification (ASJC) codes

  • Software

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