POLARITY OF POINTS FOR GAUSSIAN RANDOM FIELDS
成果类型:
Article
署名作者:
Dalang, Robert C.; Mueller, Carl; Xiao, Yimin
署名单位:
Swiss Federal Institutes of Technology Domain; Ecole Polytechnique Federale de Lausanne; University of Rochester; Michigan State University
刊物名称:
ANNALS OF PROBABILITY
ISSN/ISSBN:
0091-1798
DOI:
10.1214/17-AOP1176
发表日期:
2017
页码:
4700-4751
关键词:
stochastic heat-equations
hitting probabilities
brownian sheet
hausdorff measure
multiple points
systems
trajectories
dimension
driven
times
摘要:
We show that for a wide class of Gaussian random fields, points are polar in the critical dimension. Examples of such random fields include solutions of systems of linear stochastic partial differential equations with deterministic coefficients, such as the stochastic heat equation or wave equation with space-time white noise, or colored noise in spatial dimensions k >= 1. Our approach builds on a delicate covering argument developed by M. Talagrand [Ann. Probab. 23 (1995) 767-775; Probab. Theory Related Fields 112 (1998) 545-563] for the study of fractional Brownian motion, and uses a harmonizable representation of the solutions of these stochastic PDEs.