SMOOTHNESS OF THE DENSITY FOR SOLUTIONS TO GAUSSIAN ROUGH DIFFERENTIAL EQUATIONS
成果类型:
Article
署名作者:
Cass, Thomas; Hairer, Martin; Litterer, Christian; Tindel, Samy
署名单位:
Imperial College London; University of Warwick; Institut Polytechnique de Paris; Ecole Polytechnique; ENSTA Paris; Universite de Lorraine
刊物名称:
ANNALS OF PROBABILITY
ISSN/ISSBN:
0091-1798
DOI:
10.1214/13-AOP896
发表日期:
2015
页码:
188-239
关键词:
fractional brownian motions
hypoelliptic sdes driven
local-times
hormanders theorem
small values
ergodicity
continuity
signals
paths
LAWS
摘要:
We consider stochastic differential equations of the form dY(t) = V(Y-t)dX(t) + V-0(Y-t)dt driven by a multi-dimensional Gaussian process. Under the assumption that the vector fields V-0 and V = (V-1,...,V-d) satisfy Hormander's bracket condition, we demonstrate that Y-t admits a smooth density for any t is an element of (0, T], provided the driving noise satisfies certain nondegeneracy assumptions. Our analysis relies on relies on an interplay of rough path theory, Malliavin calculus and the theory of Gaussian processes. Our result applies to a broad range of examples including fractional Brownian motion with Hurst parameter H > 1/4, the Ornstein-Uhlenbeck process and the Brownian bridge returning after time T.