UPDF AI

Multidimensional SDE with distributional drift and Lévy noise

Helena Kremp,Nicolas Perkowski

2020 · DOI: 10.3150/21-BEJ1394
Bernoulli · 41 Citations

Abstract

We solve multidimensional SDEs with distributional drift driven by symmetric, α\alpha-stable Levy processes for α∈(1,2]\alpha\in (1,2] by studying the associated (singular) martingale problem and by solving the Kolmogorov backward equation. We allow for drifts of regularity (2−2α)/3(2-2\alpha)/3, and in particular we go beyond the by now well understood "Young regime", where the drift must have better regularity than (1−α)/2(1-\alpha)/2. The analysis of the Kolmogorov backward equation in the low regularity regime is based on paracontrolled distributions. As an application of our results we construct a Brox diffusion with Levy noise.

Keywords: Singular diffusions, stable Levy noise, distributional drift, paracontrolled distributions, Brox diffusion