Matrix kernels for measures on partitions
arXiv:0804.2419 · doi:10.1007/s10955-008-9641-9
Abstract
We consider the problem of computation of the correlation functions for the z-measures with the deformation (Jack) parameters 2 or 1/2. Such measures on partitions are originated from the representation theory of the infinite symmetric group, and in many ways are similar to the ensembles of Random Matrix Theory of or symmetry types. For a certain class of such measures we show that correlation functions can be represented as Pfaffians including matrix valued kernels, and compute these kernels explicitly. We also give contour integral representations for correlation kernels of closely connected measures on partitions.
21 pages
References in corpus (7)
- Eynard-Mehta theorem, Schur process, and their pfaffian analogs
- Correlation Functions, Cluster Functions and Spacing Distributions for Random Matrices
- Statistical Self-Similarity of One-Dimensional Growth Processes
- Distributions on partitions, point processes, and the hypergeometric kernel
- Polynuclear growth on a flat substrate and edge scaling of GOE eigenvalues
- Fluctuations of a one-dimensional polynuclear growth model in a half space
- Harmonic analysis on the infinite symmetric group