Linear discrepancy is Π2-hard to approximate

•Linear discrepancy is shown to be Π2-hard.•The hardness holds even for approximation with any constant factor less than 9/8.•Together with a previous result of Li and Nikolov, Linear discrepancy is Π2-complete. In this note, we prove that the problem of computing the linear discrepancy of a given m...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Information processing letters 2021-12, Vol.172, p.106164, Article 106164
1. Verfasser: Manurangsi, Pasin
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:•Linear discrepancy is shown to be Π2-hard.•The hardness holds even for approximation with any constant factor less than 9/8.•Together with a previous result of Li and Nikolov, Linear discrepancy is Π2-complete. In this note, we prove that the problem of computing the linear discrepancy of a given matrix is Π2-hard, even to approximate within 9/8−ϵ factor for any ϵ>0. This strengthens the NP-hardness result of Li and Nikolov [9] for the exact version of the problem, and answers a question posed by them. Furthermore, since Li and Nikolov showed that the problem is contained in Π2, our result makes linear discrepancy another natural problem that is Π2-complete (to approximate).
ISSN:0020-0190
1872-6119
DOI:10.1016/j.ipl.2021.106164