Published June 1996 | Version v1
Journal article

Study of stochastic differential equations by constructive methods. I

  • 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