English

The Pearcey Process

Probability 2007-05-23 v3

Abstract

The extended Airy kernel describes the space-time correlation functions for the Airy process, which is the limiting process for a polynuclear growth model. The Airy functions themselves are given by integrals in which the exponents have a cubic singularity, arising from the coalescence of two saddle points in an asymptotic analysis. Pearcey functions are given by integrals in which the exponents have a quartic singularity, arising from the coalescence of three saddle points. A corresponding Pearcey kernel appears in a random matrix model and a Brownian motion model for a fixed time. This paper derives an extended Pearcey kernel by scaling the Brownian motion model at several times, and a system of partial differential equations whose solution determines associated distribution functions. We expect there to be a limiting nonstationary process consisting of infinitely many paths, which we call the Pearcey process, whose space-time correlation functions are expressible in terms of this extended kernel.

Keywords

Cite

@article{arxiv.math/0412005,
  title  = {The Pearcey Process},
  author = {Craig A. Tracy and Harold Widom},
  journal= {arXiv preprint arXiv:math/0412005},
  year   = {2007}
}

Comments

LaTeX 24 pages. Version 3 has an improved exposition and corrects a minor error