The density of the ISE and local limit laws for embedded trees

成果类型:
Article
署名作者:
Bousquet-Melou, Mireille; Janson, Svante
署名单位:
Universite de Bordeaux; Centre National de la Recherche Scientifique (CNRS); Uppsala University
刊物名称:
ANNALS OF APPLIED PROBABILITY
ISSN/ISSBN:
1050-5164
DOI:
10.1214/105051606000000213
发表日期:
2006
页码:
1597-1632
关键词:
partial-differential equations continuum random tree diffusion AREA
摘要:
It has been known for a few years that the occupation measure of several models of embedded trees converges, after a suitable normalization, to the random measure called ISE (integrated SuperBrownian excursion). Here, we prove a local version of this result: ISE has a (random) Milder continuous density, and the vertical profile of embedded trees converges to this density, at least for some such trees. As a consequence, we derive a formula for the distribution of the density of ISE at a given point. This follows from earlier results by Bousquet-Melou on convergence of the vertical profile at a fixed point. We also provide a recurrence relation defining the moments of the (random) moments of ISE.