Title of article
Strong invariance principle for singular diffusions
Author/Authors
Heunis، نويسنده , , Andrew J.، نويسنده ,
Issue Information
روزنامه با شماره پیاپی سال 2003
Pages
24
From page
57
To page
80
Abstract
We study a singular diffusion on Euclidean space which is characterized by the solution of a classical Itô stochastic differential equation in which the diffusion coefficient is not necessarily of full rank. Our motivation is in earlier results of Basak (J. Multivariate Anal. 39 (1991) 44) and Basak and Bhattacharya (Ann. Probab. 20 (1992) 312), who establish sufficient conditions for singular diffusions to have a unique invariant probability and obtain a functional central limit theorem and functional law of the iterated logarithm for a large class of real-valued functions of the diffusion. Under similar conditions we establish a strong invariance principle for vector-valued functions of the diffusion, and use this to derive several asymptotic properties of the singular diffusion, including upper/lower-function estimates and a vector form of the functional law of the iterated logarithm.
Keywords
Singular diffusions , Multivariate strong invariance principles , Invariant probability measures , stochastic differential equations , laws of the iterated logarithm , Upper/lower-function estimates
Journal title
Stochastic Processes and their Applications
Serial Year
2003
Journal title
Stochastic Processes and their Applications
Record number
1577185
Link To Document