Skip to main navigation Skip to search Skip to main content

Pathwise uniqueness for multiplicative young and rough differential equations driven by fractional Brownian motion

  • Independent

Research output: Contribution to journalArticlepeer-review

Abstract

We show pathwise uniqueness of multiplicative SDEs, in arbitrary dimensions, driven by fractional Brownian motion with Hurst parameter H∈(1/3,1) with volatility coefficient σ that is at least γ-Hölder continuous for Formula Presented. This improves upon the long-standing results of (Math. Res. Lett. 1 (1994) 451–464; Rev. Mat. Iberoam. 14 (1998) 215–310; Appl. Math. Res. Express. AMRX (2008) Art. ID abm009) which cover the same regime but require σ to be at least 1/H-Hölder continuous. Our central innovation is to combine stochastic averaging estimates with refined versions of the stochastic sewing lemma, due to (Electron. J. Probab. 25 (2020) Paper No. 38; Stoch. Partial Differ. Equ. Anal. Comput. 11 (2023) 714–729; Forum Math. Sigma 12 (2024) Paper No. e52).

Original languageEnglish
Pages (from-to)3441-3489
Number of pages49
JournalAnnals of Applied Probability
Volume35
Issue number5
Early online date20 Oct 2025
DOIs
Publication statusPublished - 31 Oct 2025

Acknowledgements

Both authors wish to thank K. Dareiotis, L. Galeati, M. Gerescér and N. Perkowski for illuminating discussions during the course of this project. The main portion of this research was conducted when TM was a Ph.D. student at Freie Universität Berlin.

Funding

TM was supported by the German Science Foundation (DFG) via the IRTG 2544. AM gratefully acknowledges financial support from DFG Research Unit FOR2402.

Keywords

  • fractional Brownian motion
  • regularisation by noise
  • rough paths
  • Stochastic differential equations
  • stochastic sewing

ASJC Scopus subject areas

  • Statistics and Probability
  • Statistics, Probability and Uncertainty

Fingerprint

Dive into the research topics of 'Pathwise uniqueness for multiplicative young and rough differential equations driven by fractional Brownian motion'. Together they form a unique fingerprint.

Cite this