License: Creative Commons Attribution 4.0 International license (CC BY 4.0)
When quoting this document, please refer to the following
DOI: 10.4230/LIPIcs.ITCS.2023.26
URN: urn:nbn:de:0030-drops-175291
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2023/17529/
Go to the corresponding LIPIcs Volume Portal

Braverman, Mark ; Minzer, Dor

Rounding via Low Dimensional Embeddings

pdf-format:
LIPIcs-ITCS-2023-26.pdf (0.9 MB)

Abstract

A regular graph G = (V,E) is an (ε,γ) small-set expander if for any set of vertices of fractional size at most ε, at least γ of the edges that are adjacent to it go outside. In this paper, we give a unified approach to several known complexity-theoretic results on small-set expanders. In particular, we show:
1) Max-Cut: we show that if a regular graph G = (V,E) is an (ε,γ) small-set expander that contains a cut of fractional size at least 1-δ, then one can find in G a cut of fractional size at least 1-O(δ/(εγ⁶)) in polynomial time.
2) Improved spectral partitioning, Cheeger’s inequality and the parallel repetition theorem over small-set expanders. The general form of each one of these results involves square-root loss that comes from certain rounding procedure, and we show how this can be avoided over small set expanders. Our main idea is to project a high dimensional vector solution into a low-dimensional space while roughly maintaining ?₂² distances, and then perform a pre-processing step using low-dimensional geometry and the properties of ?₂² distances over it. This pre-processing leverages the small-set expansion property of the graph to transform a vector valued solution to a different vector valued solution with additional structural properties, which give rise to more efficient integral-solution rounding schemes.

BibTeX - Entry

@InProceedings{braverman_et_al:LIPIcs.ITCS.2023.26,
  author =	{Braverman, Mark and Minzer, Dor},
  title =	{{Rounding via Low Dimensional Embeddings}},
  booktitle =	{14th Innovations in Theoretical Computer Science Conference (ITCS 2023)},
  pages =	{26:1--26:30},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-263-1},
  ISSN =	{1868-8969},
  year =	{2023},
  volume =	{251},
  editor =	{Tauman Kalai, Yael},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/opus/volltexte/2023/17529},
  URN =		{urn:nbn:de:0030-drops-175291},
  doi =		{10.4230/LIPIcs.ITCS.2023.26},
  annote =	{Keywords: Parallel Repetition, Small Set Expanders, Semi-Definite Programs}
}

Keywords: Parallel Repetition, Small Set Expanders, Semi-Definite Programs
Collection: 14th Innovations in Theoretical Computer Science Conference (ITCS 2023)
Issue Date: 2023
Date of publication: 01.02.2023

DROPS-Home | Fulltext Search | Imprint | Privacy Published by LZI