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.

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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
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article

Fisher information bounds for McKean-Vlasov SDEs driven by fractional Brownian motion with small noise

Qian Yu, Tongxuan Liu, Jiaxin Zha
Infinite Dimensional Analysis Quantum Probability and Related Topics
Stochastic processes and financial applications
article

Fisher information bounds for McKean-Vlasov SDEs driven by fractional Brownian motion with small noise

Qian Yu, Tongxuan Liu, Jiaxin Zha
article en

Abstract

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.

Infinite Dimensional Analysis Quantum Probability and Related Topics
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Stochastic processes and financial applications
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