activity
20202026
collaborators

8 papers

math.PR2026

McKean-Vlasov stochastic differential equations with super-linear measure arguments: well-posedness and propagation of chaos

Zhuoqi Liu, Qian Guo, Shuaibin Gao +1

This paper studies McKean-Vlasov stochastic differential equations (MVSDEs) whose drift coefficients grow super-linearly in both state variables and measure arguments, and whose di…

math.NA2025

The adaptive EM schemes for McKean-Vlasov SDEs with common noise in finite and infinite horizons

Hu Liu, Shuaibin Gao, Junhao Hu

This paper is dedicated to investigating the adaptive Euler-Maruyama (EM) schemes for the approximation of McKean-Vlasov stochastic differential equations (SDEs) with common noise.…

math.NA2024

Numerical scheme for delay-type stochastic McKean-Vlasov equations driven by fractional Brownian motion

Shuaibin Gao, Qian Guo, Zhuoqi Liu +1

This paper focuses on the numerical scheme for delay-type stochastic McKean-Vlasov equations (DSMVEs) driven by fractional Brownian motion with Hurst parameter $H\in (0,1/2)\cup (1…

math.NA2022

Mean-square convergence and stability of the backward Euler method for stochastic differential delay equations with highly nonlinear growing coefficients

Zhuoqi Liu, Qian Guo, Shuaibin Gao

Over the last few decades, the numerical methods for stochastic differential delay equations (SDDEs) have been investigated and developed by many scholars. Nevertheless, there is s…

math.NA2022

An explicit Euler method for McKean-Vlasov SDEs driven by fractional Brownian motion

Jie He, Shuaibin Gao, Weijun Zhan +1

In this paper, we establish the theory of chaos propagation and propose an Euler-Maruyama scheme for McKean-Vlasov stochastic differential equations driven by fractional Brownian m…

math.PR2021

Stabilization of stochastic McKean-Vlasov equations with feedback control based on discrete-time state observation

Hao Wu, Junhao Hu, Shuaibin Gao +1

In this paper, we study the stability of solutions of stochastic McKean-Vlasov equations (SMVEs) via feedback control based on discrete-time state observation. By using a specific…