Distribution dependent stochastic differential equations driven by fractional Brownian motion and standard Brownian motion
Year: 2025
Type: article
Abstract: In this paper, we study a class of distribution dependent stochastic differential equations driven simultaneously by fractional Brownian motion with Hurst $0< H<1/2$ and standard Brownian motion. We first establish the existence and uniqueness theorem for solutions of the considered equations under some non-Lipschitz conditions by Carathéodory approximation technique. Subsequently, we show that the solutions of distribution dependent stochastic differential equations can be approximated by the solutions of the associated averaged distribution dependent stochastic differential equations in the sense of mean square convergence under certain averaging conditions.
Institution: Yangtze University
Language: English
Subfield: Finance
Domain: Social Sciences
Open Access status: hybrid
Estimated APC paid: $1,890
Awards: G1828073999, G6146671023, G676454704
OpenAlex ID: W4416158681
