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Law of large numbers for increasing subsequences of random permutations
Authors:Ross G Pinsky
Abstract:Let the random variable Zn,k denote the number of increasing subsequences of length k in a random permutation from Sn, the symmetric group of permutations of {1,…,n}. We show that Var(Zurn:x-wiley:10429832:media:RSA20113:tex2gif-inf-3) = o((EZurn:x-wiley:10429832:media:RSA20113:tex2gif-inf-5)2) as n → ∞ if and only if equation image . In particular then, the weak law of large numbers holds for Zurn:x-wiley:10429832:media:RSA20113:tex2gif-inf-7 if equation image ; that is, equation image We also show the following approximation result for the uniform measure Un on Sn. Define the probability measure μurn:x-wiley:10429832:media:RSA20113:tex2gif-inf-11 on Sn by equation image where Uurn:x-wiley:10429832:media:RSA20113:tex2gif-inf-14 denotes the uniform measure on the subset of permutations that contain the increasing subsequence {x1,x2,…,xurn:x-wiley:10429832:media:RSA20113:tex2gif-inf-21}. Then the weak law of large numbers holds for Zurn:x-wiley:10429832:media:RSA20113:tex2gif-inf-23 if and only if equation image where ∣∣˙∣∣ denotes the total variation norm. In particular then, (*) holds if equation image . In order to evaluate the asymptotic behavior of the second moment, we need to analyze occupation times of certain conditioned two‐dimensional random walks. © 2005 Wiley Periodicals, Inc. Random Struct. Alg., 2006
Keywords:random permutations  law of large numbers  increasing subsequences in random permutations  conditioned random walks
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