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20122026
most citedAveraging principle for one dimensional stochastic Burgers equation

8 citations · 39 across the 51 of their papers we have counts for

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Showing 2017Show all

5 papers · 1 filter

math.PR2017

Uniform dimension results for a family of Markov processes

Xiaobin Sun, Yimin Xiao, Lihu Xu +1

In this paper we prove uniform Hausdorff and packing dimension results for the images of a large family of Markov processes. The main tools are the two covering principles of Xiao…

math.PR2017

Large deviations for stochastic models of two-dimensional second grade fluids driven by Lévy noise

Jianliang Zhai, Tusheng Zhang, Wuting Zheng

In this paper, we establish a large deviation principle for stochastic models of two-dimensional second grade fluids driven by Lévy noise. The weak convergence method introduced by…

math.PR2017

2D Stochastic Chemotaxis-Navier-Stokes System

Jianliang Zhai, Tusheng Zhang

In this paper, we establish the existence and uniqueness of both mild(/variational) solutions and weak (in the sense of PDE) solutions of coupled system of 2D stochastic Chemotaxis…

math.PR2017★ 4 cited

Strong solutions for a stochastic model of 2-D second grade fluids driven by Lévy noise

Shijie Shang, Jianliang Zhai, Tusheng Zhang

We consider a stochastic model of incompressible non-Newtonian fluids of second grade on a bounded domain of driven by Lévy noise. Applying the variational approach,…

math.PR2017★ 8 cited

Averaging principle for one dimensional stochastic Burgers equation

Zhao Dong, Xiaobin Sun, Hui Xiao +1

In this paper, we consider the averaging principle for one dimensional stochastic Burgers equation with slow and fast time-scales. Under some suitable conditions, we show that the…