TAIL ESTIMATES FOR MARKOVIAN ROUGH PATHS

• 成果类型: Article
• 署名作者: Cass, Thomas; Ogrodnik, Marcel
• 署名单位: Imperial College London
• 刊物名称: ANNALS OF PROBABILITY
• ISSN/ISSBN: 0091-1798
• DOI: 10.1214/16-AOP1117
• 发表日期: 2017
• 页码: 2477-2504
• 关键词: differential-equations driven; local dirichlet spaces; fundamental-solutions; vector-fields; INEQUALITY; Integrability; REGULARITY; density; THEOREM

摘要

The accumulated local p-variation functional [Ann. Probab. 41 (213) 3026-3050] arises naturally in the theory of rough paths in estimates both for solutions to rough differential equations (RDEs), and for the higher-order terms of the signature (or Lyons lift). In stochastic examples, it has been observed that the tails of the accumulated local p-variation functional typically decay much faster than the tails of classical p-variation. This observation has been decisive, for example, for problems involving Malliavin calculus for Gaussian rough paths [Ann. Probab. 43 (2015) 188-239]. All of the examples treated so far have been in this Gaussian setting that contains a great deal of additional structure. In this paper, we work in the context of Markov processes on a locally compact Polish space E, which are associated to a class of Dirichlet forms. In this general framework, we first prove a better-than-exponential tail estimate for the accumulated local p-variation functional derived from the intrinsic metric of this Dirichlet form. By then specialising to a class of Dirichlet forms on the step [pi free nilpotent group, which are sub-elliptic in the sense of Fefferman Phong, we derive a better than exponential tail estimate for a class of Markovian rough paths. This class includes the examples studied in [Probab. Theory Related Fields 142 (2008) 475-523]. We comment on the significance of these estimates to recent papers, including the results of Ni Hao [Personal communication (2014)] and Chevyrev and Lyons [Ann. Probab. To appear].