English

Distribution dependent SDEs driven by additive fractional Brownian motion

Probability 2021-06-01 v1 Analysis of PDEs

Abstract

We study distribution dependent stochastic differential equations with irregular, possibly distributional drift, driven by an additive fractional Brownian motion of Hurst parameter H(0,1)H\in (0,1). We establish strong well-posedness under a variety of assumptions on the drift; these include the choice B(,μ)=fμ()+g(),f,gB,α,α>11/2H,B(\cdot,\mu) = f\ast\mu(\cdot) + g(\cdot),\quad f,g\in B^\alpha_{\infty,\infty}, \quad \alpha>1-1/2H, thus extending the results by Catellier and Gubinelli [9] to the distribution dependent case. The proofs rely on some novel stability estimates for singular SDEs driven by fractional Brownian motion and the use of Wasserstein distances.

Keywords

Cite

@article{arxiv.2105.14063,
  title  = {Distribution dependent SDEs driven by additive fractional Brownian motion},
  author = {Lucio Galeati and Fabian A. Harang and Avi Mayorcas},
  journal= {arXiv preprint arXiv:2105.14063},
  year   = {2021}
}

Comments

46 pages

R2 v1 2026-06-24T02:35:12.531Z