English

Heat kernel estimates for stable-driven SDEs with distributional drift

Probability 2024-10-14 v2

Abstract

We consider the formal SDE dX t = b(t, X t)dt + dZ t , X 0 = x \in R d , (E) where b \in L r ([0, T ], B β\beta p,q (R d , R d)) is a time-inhomogeneous Besov drift and Z t is a symmetric d-dimensional α\alpha-stable process, α\alpha \in (1, 2), whose spectral measure is absolutely continuous w.r.t. the Lebesgue measure on the sphere. Above, L r and B β\beta p,q respectively denote Lebesgue and Besov spaces. We show that, when β\beta > (1--α\alpha+ α\alpha/r + d/p)/2 , the martingale solution associated with the formal generator of (E) admits a density which enjoys two-sided heat kernel bounds as well as gradient estimates w.r.t. the backward variable. Our proof relies on a suitable mollification of the singular drift aimed at using Duhamel expansion. We then use a normalization method combined with Besov space properties (thermic characterization, duality and product rules) to derive estimates.

Keywords

Cite

@article{arxiv.2303.08451,
  title  = {Heat kernel estimates for stable-driven SDEs with distributional drift},
  author = {Mathis Fitoussi},
  journal= {arXiv preprint arXiv:2303.08451},
  year   = {2024}
}
R2 v1 2026-06-28T09:18:02.642Z