On averages of randomized class functions on the symmetric groups and their asymptotics

Mathematics – Probability

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

25 pages

Scientific paper

The second author had previously obtained explicit generating functions for moments of characteristic polynomials of permutation matrices (n points). In this paper, we generalize many aspects of this situation. We introduce random shifts of the eigenvalues of the permutation matrices, in two different ways: independently or not for each subset of eigenvalues associated to the same cycle. We also consider vastly more general functions than the characteristic polynomial of a permutation matrix, by first finding an equivalent definition in terms of cycle-type of the permutation. We consider other groups than the symmetric group, for instance the alternating group and other Weyl groups. Finally, we compute some asymptotics results when n tends to infinity. This last result requires additional ideas: it exploits properties of the Feller coupling, which gives asymptotics for the lengths of cycles in permutations of many points.

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

On averages of randomized class functions on the symmetric groups and their asymptotics 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 On averages of randomized class functions on the symmetric groups and their asymptotics, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and On averages of randomized class functions on the symmetric groups and their asymptotics will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-432511

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