License: Creative Commons Attribution 3.0 Unported license (CC BY 3.0)
When quoting this document, please refer to the following
DOI: 10.4230/LIPIcs.APPROX-RANDOM.2018.13
URN: urn:nbn:de:0030-drops-94170
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2018/9417/
Haviv, Ishay
On Minrank and the Lovász Theta Function
Abstract
Two classical upper bounds on the Shannon capacity of graphs are the theta-function due to Lovász and the minrank parameter due to Haemers. We provide several explicit constructions of n-vertex graphs with a constant theta-function and minrank at least n^delta for a constant delta>0 (over various prime order fields). This implies a limitation on the theta-function-based algorithmic approach to approximating the minrank parameter of graphs. The proofs involve linear spaces of multivariate polynomials and the method of higher incidence matrices.
BibTeX - Entry
@InProceedings{haviv:LIPIcs:2018:9417,
author = {Ishay Haviv},
title = {{On Minrank and the Lov{\'a}sz Theta Function}},
booktitle = {Approximation, Randomization, and Combinatorial Optimization. Algorithms and Techniques (APPROX/RANDOM 2018)},
pages = {13:1--13:15},
series = {Leibniz International Proceedings in Informatics (LIPIcs)},
ISBN = {978-3-95977-085-9},
ISSN = {1868-8969},
year = {2018},
volume = {116},
editor = {Eric Blais and Klaus Jansen and Jos{\'e} D. P. Rolim and David Steurer},
publisher = {Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
address = {Dagstuhl, Germany},
URL = {http://drops.dagstuhl.de/opus/volltexte/2018/9417},
URN = {urn:nbn:de:0030-drops-94170},
doi = {10.4230/LIPIcs.APPROX-RANDOM.2018.13},
annote = {Keywords: Minrank, Theta Function, Shannon capacity, Multivariate polynomials, Higher incidence matrices}
}
Keywords: |
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Minrank, Theta Function, Shannon capacity, Multivariate polynomials, Higher incidence matrices |
Collection: |
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Approximation, Randomization, and Combinatorial Optimization. Algorithms and Techniques (APPROX/RANDOM 2018) |
Issue Date: |
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2018 |
Date of publication: |
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13.08.2018 |