English

Dynamical properties and characterization of gradient drift diffusions

Probability 2016-08-16 v1

Abstract

We study the dynamical properties of the Brownian diffusions having σId\sigma {\rm Id} as diffusion coefficient matrix and b=Ub=\nabla U as drift vector. We characterize this class through the equality D+2=D2D^2_+=D^2_-, where D+D_{+} (resp. DD_-) denotes the forward (resp. backward) stochastic derivative of Nelson's type. Our proof is based on a remarkable identity for D+2D2D_+^2-D_-^2 and on the use of the martingale problem. We also give a new formulation of a famous theorem of Kolmogorov concerning reversible diffusions. We finally relate our characterization to some questions about the complex stochastic embedding of the Newton equation which initially motivated of this work.

Keywords

Cite

@article{arxiv.math/0612413,
  title  = {Dynamical properties and characterization of gradient drift diffusions},
  author = {Sébastien Darses and Ivan Nourdin},
  journal= {arXiv preprint arXiv:math/0612413},
  year   = {2016}
}

Comments

16 pages