Published June 1996
| Version v1
Journal article
Study of stochastic differential equations by constructive methods. I
Creators
- 1. Centro Linceo Interdisciplinare (Italy)
- 2. Universita di Roma La Sapienza (Italy)
- 3. CNRS-URP, Palaiseau (France)
Description
In this work we give an algorithm to express as a convergent series the stationary averages for a class of gradient perturbations of a nonsymmetric (nongradient) Ornstein-Uhlenbeck process. The method relies on a cluster expansion in time of the Girsanov-Cameron-Martin formula for the density of the perturbed measure with respect to the Ornstein-Uhlenbeck measure. In the second paper of this series, the approach is extended to more general perturbations
Additional details
Publishing Information
- Journal Title
- Journal of Statistical Physics
- Journal Volume
- 83
- Journal Issue
- 5-6
- Journal Page Range
- p. 1109-1148.
- ISSN
- 0022-4715
- CODEN
- JSTPBS
INIS
- Country of Publication
- United States
- Country of Input or Organization
- United States
- INIS RN
- 28051310
- Subject category
- S71: CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS; S99: GENERAL AND MISCELLANEOUS;
- Descriptors DEI
- ALGORITHMS; CLUSTER EXPANSION; CONVERGENCE; DIFFERENTIAL EQUATIONS; STOCHASTIC PROCESSES
- Descriptors DEC
- EQUATIONS