Fisher information bounds for McKean-Vlasov SDEs driven by fractional Brownian motion with small noise
In this paper, we consider the following McKean-Vlasov SDE driven by fractional Brownian motion with small noise [Formula: see text] where the initial condition [Formula: see text] is a real number, [Formula: see text] denotes the law of [Formula: see text], [Formula: see text] is a fractional Brownian motion with Hurst index [Formula: see text] and [Formula: see text] is a small parameter. We study the rate of Fisher information convergence in the central limit theorem for the solution of small noise SDE, then we show that the convergence rate [Formula: see text] is of optimal order.
Authors
- Qian Yu (ORCID: https://orcid.org/0000-0003-0962-4621)
- Tongxuan Liu
- Jiaxin Zha
Institutions
- Twitter (United States) (US)
Publication Details
- Journal
- Infinite Dimensional Analysis Quantum Probability and Related Topics
- Published
- 2026-07-28
- DOI
- https://doi.org/10.1142/s0219025726500165
- Primary Topic
- Stochastic processes and financial applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00