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 Electronic Communications in Probability > Vol. 12 (2007) > Paper 35 open journal systems 


Maximal Arithmetic Progressions in Random Subsets

Itai Benjamini, Weizmann Institute of Science
Ariel Yadin, Weizmann Institute of Science
Ofer Zeitouni, University of Minnesota


Abstract
Let U(N) denote the maximal length of arithmetic progressions in a random uniform subset of {0,1}N. By an application of the Chen-Stein method, we show that U(N)- 2 log(N)/log(2) converges in law to an extreme type (asymmetric) distribution. The same result holds for the maximal length W(N) of arithmetic progressions (mod N). When considered in the natural way on a common probability space, we observe that U(N)/log(N) converges almost surely to 2/log(2), while W(N)/log(N) does not converge almost surely (and in particular, limsup W(N)/log(N) is at least 3/log(2)).


Full text: PDF

Pages: 365-376

Published on: October 14, 2007


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Electronic Communications in Probability. ISSN: 1083-589X