English

Diffusions on a space of interval partitions: Poisson-Dirichlet stationary distributions

Probability 2019-10-18 v1

Abstract

We introduce diffusions on a space of interval partitions of the unit interval that are stationary with the Poisson-Dirichlet laws with parameters (α,0)(\alpha,0) and (α,α)(\alpha,\alpha). The construction has two steps. The first is a general construction of interval partition processes obtained previously, by decorating the jumps of a L\'evy process with independent excursions. Here, we focus on the second step, which requires explicit transition kernels and what we call pseudo-stationarity. This allows us to study processes obtained from the original construction via scaling and time-change. In a sequel paper, we establish connections to diffusions on decreasing sequences introduced by Ethier and Kurtz (1981) and Petrov (2009). The latter diffusions are continuum limits of up-down Markov chains on Chinese restaurant processes. Our construction is also a step towards resolving longstanding conjectures by Feng and Sun on measure-valued Poisson-Dirichlet diffusions, and by Aldous on a continuum-tree-valued diffusion.

Keywords

Cite

@article{arxiv.1910.07626,
  title  = {Diffusions on a space of interval partitions: Poisson-Dirichlet stationary distributions},
  author = {Noah Forman and Soumik Pal and Douglas Rizzolo and Matthias Winkel},
  journal= {arXiv preprint arXiv:1910.07626},
  year   = {2019}
}

Comments

50 pages, 8 figures. Following arXiv:1909.02584 [math.PR], this is the second in a sequence of three papers that will collectively supersede arXiv:1609.06706 [math.PR]