Simultaneous Large Deviations for the Shape of Young Diagrams Associated With Random Words

Mathematics – Probability

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

Scientific paper

We investigate the large deviations of the shape of the random RSK Young tableaux associated with a random word of size n whose letters are independently drawn from an alphabet of size m = m(n). When the letters are drawn uniformly and when both n and m converge together to infinity, m not growing too fast with respect to n, the large deviations of the shape of the Young tableaux are shown to be the same as that of the spectrum of the traceless GUE. In the non-uniform case, a control of both highest probabilities will ensure that the length of the top row of the tableau satisfies a large deviation principle. In either case, both speeds and rate functions are identified. To complete our study, non-asymptotic concentration bounds for the length of the top row of the tableaux, i.e., for the length of the longest increasing subsequence of the random word are also given for both models

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

Simultaneous Large Deviations for the Shape of Young Diagrams Associated With Random Words 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 Simultaneous Large Deviations for the Shape of Young Diagrams Associated With Random Words, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Simultaneous Large Deviations for the Shape of Young Diagrams Associated With Random Words will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-270189

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