TY - GEN
T1 - 2-Source dispersers for sub-polynomial entropy and ramsay graphs beating the frankl-wilson construction
AU - Barak, Boaz
AU - Rao, Anup
AU - Shaltiel, Ronen
AU - Wigderson, Avi
PY - 2006
Y1 - 2006
N2 - The main result of this paper is an explicit disperser for two independent sources on n bits, each of entropy k = no(1). Put differently, setting N = T and K = 2 n, we construct explicit N × N Boolean matrices for which no K × K submatrix is monochromatic. Viewed as adjacency matrices of bipartite graphs, this gives an explicit construction of K-Ramsey bipartite graphs of size N. This greatly improves the previous bound of k = o(n) of Barak, Kindler, Shaltiel, Sudakov and Wigderson [4]. It also significantly improves the 25-year record of k = Õ(√n) on the special case of Ramsey graphs, due to Frankl and Wilson [9]. The construction uses (besides "classical" extractor ideas) almost all of the machinery developed in the last couple of years for extraction from independent sources, including: Bourgain's extractor for 2 independent sources of some entropy rate < 1/2 [5] Raz's extractor for 2 independent sources, one of which has any entropy rate > 1/2 [18] Rao's extractor for 2 independent block-sources of entropy n Ω(1) [17] The "Challenge-Response" mechanism for detecting "entropy concentration" of [4]. The main novelty comes in a bootstrap procedure which allows the Challenge-Response mechanism of [4] to be used with sources of less and less entropy, using recursive calls to itself. Subtleties arise since the success of this mechanism depends on restricting the given sources, and so recursion constantly changes the original sources. These are resolved via a new construct, in between a disperser and an extractor, which behaves like an extractor on sufficiently large subsources of the given ones. This version is only an extended abstract, please see the full version, available on the authors' homepages, for more details.
AB - The main result of this paper is an explicit disperser for two independent sources on n bits, each of entropy k = no(1). Put differently, setting N = T and K = 2 n, we construct explicit N × N Boolean matrices for which no K × K submatrix is monochromatic. Viewed as adjacency matrices of bipartite graphs, this gives an explicit construction of K-Ramsey bipartite graphs of size N. This greatly improves the previous bound of k = o(n) of Barak, Kindler, Shaltiel, Sudakov and Wigderson [4]. It also significantly improves the 25-year record of k = Õ(√n) on the special case of Ramsey graphs, due to Frankl and Wilson [9]. The construction uses (besides "classical" extractor ideas) almost all of the machinery developed in the last couple of years for extraction from independent sources, including: Bourgain's extractor for 2 independent sources of some entropy rate < 1/2 [5] Raz's extractor for 2 independent sources, one of which has any entropy rate > 1/2 [18] Rao's extractor for 2 independent block-sources of entropy n Ω(1) [17] The "Challenge-Response" mechanism for detecting "entropy concentration" of [4]. The main novelty comes in a bootstrap procedure which allows the Challenge-Response mechanism of [4] to be used with sources of less and less entropy, using recursive calls to itself. Subtleties arise since the success of this mechanism depends on restricting the given sources, and so recursion constantly changes the original sources. These are resolved via a new construct, in between a disperser and an extractor, which behaves like an extractor on sufficiently large subsources of the given ones. This version is only an extended abstract, please see the full version, available on the authors' homepages, for more details.
KW - Dispersers
KW - Extractors
KW - Independent Sources
KW - Ramsey Graphs
UR - http://www.scopus.com/inward/record.url?scp=33748118575&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:33748118575
SN - 1595931341
SN - 9781595931344
T3 - Proceedings of the Annual ACM Symposium on Theory of Computing
SP - 671
EP - 680
BT - STOC'06
T2 - 38th Annual ACM Symposium on Theory of Computing, STOC'06
Y2 - 21 May 2006 through 23 May 2006
ER -