English

One-dimensional Stochastic Differential Equations with Generalized and Singular Drift

Probability 2013-10-22 v1

Abstract

Introducing certain singularities, we generalize the class of one-dimensional stochastic differential equations with so-called generalized drift. Equations with generalized drift, well-known in the literature, possess a drift that is described by the semimartingale local time of the unknown process integrated with respect to a locally finite signed measure \nu. The generalization which we deal with can be interpreted as allowing more general set functions \nu, for example signed measures which are only \sigma-finite. However, we use a different approach to describe the singular drift. For the considered class of one-dimensional stochastic differential equations, we derive necessary and sufficient conditions for existence and uniqueness in law of solutions.

Keywords

Cite

@article{arxiv.1209.6159,
  title  = {One-dimensional Stochastic Differential Equations with Generalized and Singular Drift},
  author = {Stefan Blei and Hans-Jürgen Engelbert},
  journal= {arXiv preprint arXiv:1209.6159},
  year   = {2013}
}
R2 v1 2026-06-21T22:12:01.827Z