Shattered sets and the hilbert function

Shay Moran, Cyrus Rashtchian

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

Abstract

We study complexity measures on subsets of the boolean hypercube and exhibit connections between algebra (the Hilbert function) and combinatorics (VC theory). These connections yield results in both directions. Our main complexity-theoretic result demonstrates that a large and natural family of linear program feasibility problems cannot be computed by polynomial-sized constant-depth circuits. Moreover, our result applies to a stronger regime in which the hyperplanes are fixed and only the directions of the inequalities are given as input to the circuit. We derive this result by proving that a rich class of extremal functions in VC theory cannot be approximated by low-degree polynomials. We also present applications of algebra to combinatorics. We provide a new algebraic proof of the Sandwich Theorem, which is a generalization of the wellknown Sauer-Perles-Shelah Lemma. Finally, we prove a structural result about downward-closed sets, related to the Chvátal conjecture in extremal combinatorics.

Original languageEnglish
Title of host publication41st International Symposium on Mathematical Foundations of Computer Science, MFCS 2016
EditorsAnca Muscholl, Piotr Faliszewski, Rolf Niedermeier
ISBN (Electronic)9783959770163
DOIs
StatePublished - 1 Aug 2016
Event41st International Symposium on Mathematical Foundations of Computer Science, MFCS 2016 - Krakow, Poland
Duration: 22 Aug 201626 Aug 2016

Publication series

NameLeibniz International Proceedings in Informatics, LIPIcs
Volume58

Conference

Conference41st International Symposium on Mathematical Foundations of Computer Science, MFCS 2016
Country/TerritoryPoland
CityKrakow
Period22/08/1626/08/16

Keywords

  • Chvatal's Conjecture
  • Downward-closed Sets.
  • Hilbert Function
  • Linear Programming
  • Polynomial Method
  • Sandwich Theorem
  • Shattered Sets
  • VC Dimension

All Science Journal Classification (ASJC) codes

  • Software

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