Title :
Constructive Discrepancy Minimization by Walking on the Edges
Author :
Lovett, Shachar ; Meka, Raghu
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√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 :
computational complexity; graph colouring; linear algebra; randomised algorithms; set theory; SDP relaxation; Spencer proof; Spencer theorem; clever rounding procedure; combinatorics; constructive discrepancy minimization; discrepancy problem; edge-walk; linear algebra; partial coloring lemma; randomized algorithm; restricted random walk; set system; Algorithm design and analysis; Entropy; Gaussian distribution; Minimization; Random variables; Standards; Vectors; Gaussian; discrepancy; random walks;
Conference_Titel :
Foundations of Computer Science (FOCS), 2012 IEEE 53rd Annual Symposium on
Conference_Location :
New Brunswick, NJ
Print_ISBN :
978-1-4673-4383-1
DOI :
10.1109/FOCS.2012.23