Multiple decorrelation and rate of convergence in multidimensional limit theorems for the Prokhorov metric
Abstract
Description
The motivation of this work is the study of the error term e_t^ε(x,ω) in the averaging method for differential equations perturbed by a dynamical system. Results of convergence in distribution for (\frac{e_t^ε(x,\cdot)}{\sqrtε})_{ε>0} have been established in Khas'minskii [Theory Probab. Appl. 11 (1966) 211-228], Kifer [Ergodic Theory Dynamical Systems 15 (1995) 1143-1172] and Pène [ESAIM Probab. Statist. 6 (2002) 33-88]. We are interested here in the question of the rate of convergence in distribution of the family of random variables (\frac{e_t^ε(x,\cdot)}{\sqrtε})_{ε>0} when εgoes to 0 (t>0 and x\inR^d being fixed). We will make an assumption of multiple decorrelation property (satisfied in several situations). We start by establishing a simpler result: the rate of convergence in the central limit theorem for regular multidimensional functions. In this context, we prove a result of convergence in distribution with rate of convergence in O(n^{-1/2+α}) for all α>0 (for the Prokhorov metric). This result can be seen as an extension of the main result of Pène [Comm. Math. Phys. 225 (2002) 91-119] to the case of d-dimensional functions. In a second time, we use the same method to establish a result of convergence in distribution for (\frac{e_t^ε(x,\cdot)}{\sqrtε})_{ε>0} with rate of convergence in O(ε^{1/2-α}) (for the Prokhorov metric).
Published at http://dx.doi.org/10.1214/009117904000000036 in the Annals of Probability (http://www.imstat.org/aop/) by the Institute of Mathematical Statistics (http://www.imstat.org)
Published at http://dx.doi.org/10.1214/009117904000000036 in the Annals of Probability (http://www.imstat.org/aop/) by the Institute of Mathematical Statistics (http://www.imstat.org)