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 . We establish strong well-posedness under a variety of assumptions on the drift; these include the choice 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.
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