The Mahonian probability distribution on words is asymptotically normal

Mathematics – Combinatorics

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

17 pages, 1 table

Scientific paper

The Mahonian statistic is the number of inversions in a permutation of a multiset with $a_i$ elements of type $i$, $1\le i\le m$. The counting function for this statistic is the $q$ analog of the multinomial coefficient $\binom{a_1+...+a_m}{a_1,... a_m}$, and the probability generating function is the normalization of the latter. We give two proofs that the distribution is asymptotically normal. The first is {\it computer-assisted}, based on the method of moments. The Maple package {\tt MahonianStat}, available from the webpage of this article, can be used by the reader to perform experiments and calculations. Our second proof uses characteristic functions. We then take up the study of a local limit theorem to accompany our central limit theorem. Here our result is less general, and we must be content with a conjecture about further work. Our local limit theorem permits us to conclude that the coeffiecients of the $q$-multinomial are log-concave, provided one stays near the center (where the largest coefficients reside.)

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

The Mahonian probability distribution on words is asymptotically normal does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with The Mahonian probability distribution on words is asymptotically normal, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and The Mahonian probability distribution on words is asymptotically normal will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-272641

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.