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Nonnegative rank measures and monotone algebraic branching programs

  • Laboratoire de Probabilités et Modèles Aléatoires
  • Centre national de la recherche scientifique

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

3 Citations (Scopus)

Abstract

Inspired by Nisan's characterization of noncommutative complexity (Nisan 1991), we study different notions of nonnegative rank, associated complexity measures and their link with monotone computations. In particular we answer negatively an open question of Nisan asking whether nonnegative rank characterizes monotone noncommutative complexity for algebraic branching programs. We also prove a rather tight lower bound for the computation of elementary symmetric polynomials by algebraic branching programs in the monotone setting or, equivalently, in the homogeneous syntactically multilinear setting.

Original languageEnglish
Title of host publication39th IARCS Annual Conference on Foundations of Software Technology and Theoretical Computer Science, FSTTCS 2019
EditorsArkadev Chattopadhyay, Paul Gastin
PublisherSchloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing
ISBN (Electronic)9783959771313
DOIs
Publication statusPublished - 1 Dec 2019
Externally publishedYes
Event39th IARCS Annual Conference on Foundations of Software Technology and Theoretical Computer Science, FSTTCS 2019 - Bombay, India
Duration: 11 Dec 201913 Dec 2019

Publication series

NameLeibniz International Proceedings in Informatics, LIPIcs
Volume150
ISSN (Print)1868-8969

Conference

Conference39th IARCS Annual Conference on Foundations of Software Technology and Theoretical Computer Science, FSTTCS 2019
Country/TerritoryIndia
CityBombay
Period11/12/1913/12/19

Keywords

  • Elementary symmetric polynomials
  • Lower bounds

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