English

Constructive Discrepancy Minimization by Walking on The Edges

Data Structures and Algorithms 2012-10-15 v2 Discrete Mathematics Combinatorics

Abstract

Minimizing the discrepancy of a set system is a fundamental problem in combinatorics. One of the cornerstones in this area is the celebrated six standard deviations result of Spencer (AMS 1985): In any system of n sets in a universe of size n, there always exists a coloring which achieves discrepancy 6\sqrt{n}. The original proof of Spencer was existential in nature, and did not give an efficient algorithm to find such a coloring. Recently, a breakthrough work of Bansal (FOCS 2010) gave an efficient algorithm which finds such a coloring. His algorithm was based on an SDP relaxation of the discrepancy problem and a clever rounding procedure. In this work we give a new randomized algorithm to find a coloring as in Spencer's result based on a restricted random walk we call "Edge-Walk". Our algorithm and its analysis use only basic linear algebra and is "truly" constructive in that it does not appeal to the existential arguments, giving a new proof of Spencer's theorem and the partial coloring lemma.

Keywords

Cite

@article{arxiv.1203.5747,
  title  = {Constructive Discrepancy Minimization by Walking on The Edges},
  author = {Shachar Lovett and Raghu Meka},
  journal= {arXiv preprint arXiv:1203.5747},
  year   = {2012}
}

Comments

11 pages

R2 v1 2026-06-21T20:40:04.248Z