中文

Dynamical properties and characterization of gradient drift diffusions

概率论 2016-08-16 v1

摘要

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.

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引用

@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}
}

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16 pages