Pfaffian Stochastic Dynamics of Strict Partitions

Mathematics – Probability

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

AMS-LaTeX, 59 pages. v2: Added new results about connections with the z-measures and orthogonal spectral projection operators.

Scientific paper

We study a family of continuous time Markov jump processes on strict partitions (partitions with distinct parts) preserving the distributions introduced by Borodin (1997) in connection with projective representations of the infinite symmetric group. The one-dimensional distributions of the processes (i.e., the Borodin's measures) have determinantal structure. We express the dynamical correlation functions of the processes in terms of certain Pfaffians and give explicit formulas for both the static and dynamical correlation kernels using the Gauss hypergeometric function. Moreover, we are able to express our correlation kernels (both static and dynamical) through those of the z-measures on partitions obtained previously by Borodin and Olshanski in a series of papers. The results about the fixed time case were announced in the author's note arXiv:1002.2714. A part of the present paper contains proofs of those results.

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

Pfaffian Stochastic Dynamics of Strict Partitions 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 Pfaffian Stochastic Dynamics of Strict Partitions, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Pfaffian Stochastic Dynamics of Strict Partitions will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-298499

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