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20122021
most citedSolving Fokker-Planck equation using deep learning

157 citations · 543 across the 21 of their papers we have counts for

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Showing math.PRShow all

7 papers · 1 filter

math.PR2021

Averaging principle of stochastic Burgers equation driven by Lévy processes

Hongge Yue, Yong Xu, Ruifang Wang +1

We are concerned about the averaging principle for the stochastic Burgers equation with slow-fast time scale. This slow-fast system is driven by Lévy processes. Under some appropri…

math.PR2020★ 54 cited

Averaging principle for fast-slow system driven by mixed fractional Brownian rough path

Bin Pei, Yuzuru Inahama, Yong Xu

This paper is devoted to studying the averaging principle for fast-slow system of rough differential equations driven by mixed fractional Brownian rough path. The fast component is…

math.PR2020

Strong averaging principles for a class of non-autonomous slow-fast systems of SPDEs with polynomial growth

Ruifang Wang, Yong Xu

In this work, we study a class of non-autonomous two-time-scale stochastic reaction-diffusion equations driven by Poisson random measures, in which the coefficients satisfy the pol…

math.PR2020★ 1 cited

Stochastic averaging for the non-autonomous mixed stochastic differential equations with locally Lipschitz coefficients

Ruifang Wang, Yong Xu, Hongge Yue

This paper investigates a non-autonomous slow-fast system, which is generalized by stochastic differential equations (SDEs) with locally Lipschitz coefficients, subjected to standa…

math.PR2020

The central limit theorem for slow-fast systems with Lévy noise

Xiaoyu Yang, Yong Xu, Ruifang Wang +1

We consider a slow-fast stochastic differential system with Lévy noise. We will employ the perturbed test function method to study the normal deviation of the slow-fast system. Our…

math.PR2020★ 1 cited

Stochastic averaging for non-Lipschitz multi-valued stochastic differential equations driven by G-Brownian motion

Min Han, Bin Pei

In this paper, we prove the validity of an averaging principle for multi-valued stochastic differential equations (MSDEs) driven by G-Brownian motion with non-Lipschitz coefficient…

math.PR2020★ 5 cited

Pathwise unique solutions and stochastic averaging for mixed stochastic partial differential equations driven by fractional Brownian motion and Brownian motion

Bin Pei, Yuzuru Inahama, Yong Xu

This paper is devoted to a system of stochastic partial differential equations (SPDEs) that have a slow component driven by fractional Brownian motion (fBm) with the Hurst paramete…