Normal approximations for descents and inversions of permutations of multisets
Mark Conger, D. Viswanath
Abstract
Normal approximations for descents and inversions of permutations of the set \1,2,...,n\ are well known. A number of sequences that occur in practice, such as the human genome and other genomes, contain many repeated elements. Motivated by such examples, we consider the number of inversions of a permutation π(1), π(2),...,π(n) of a multiset with n elements, which is the number of pairs (i,j) with 1≤ i < j ≤ n and π(i)>π(j). The number of descents is the number of i in the range 1≤ i < n such that π(i) > π(i+1). We prove that, appropriately normalized, the distribution of both inversions and descents of a random permutation of the multiset approaches the normal distribution as n∞, provided that the permutation is equally likely to be any possible permutation of the multiset and no element occurs more than αn times in the multiset for a fixed α with 0<α< 1. Both normal approximation theorems are proved using the size biased version of Stein's method of auxiliary randomization and are accompanied by error bounds.
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