6 papers
Stochastic tamed 3D Navier-Stokes equations with locally weak monotonicity coefficients: existence, uniqueness and averaging principle
Shuaishuai Lu, Xue Yang, Yong Li
This paper investigates the stochastic tamed 3D Navier-Stokes equations with locally weak monotonicity coefficients in the whole space as well as in the three-dimensional torus, wh…
Central limit theorem for periodic solutions of stochastic differential equations driven by Levy noise
Xinying Deng, Yong Li, Xue Yang
Through certain appropriate constructions, we establish periodic solutions in distribution for some stochastic differential equations with infinite-dimensional Levy noise. Addition…
Adaptive Graded Denoising of Seismic Data Based on Noise Estimation and Local Similarity
Xueting Yang, Yong Li, Zhangquan Liao +2
Seismic data denoising is an important part of seismic data processing, which directly relate to the follow-up processing of seismic data. In terms of this issue, many authors prop…
The weak averaging principle of stochastic functional partial differential equations with Hlder continuous coefficients and infinite delay
Shuaishuai Lu, Xue Yang, Yong Li
In this paper, we establish the weak averaging principle for stochastic functional partial differential equations (in short, SFPDEs) with Hlder continuous coeffici…
Stochastic functional partial differential equations with monotone coefficients: Poisson stability measures, exponential mixing and limit theorems
Shuaishuai Lu, Xue Yang, Yong Li
This paper examines Poisson stable (including stationary, periodic, almost periodic, Levitan almost periodic, Bohr almost automorphic, pseudo-periodic, Birkhoff recurrent, pseudo-r…
McKean-Vlasov SPDEs with coefficients exhibiting locally weak monotonicity: existence, uniqueness, ergodicity, exponential mixing and limit theorems
Shuaishuai Lu, Xue Yang, Yong Li
This paper investigates the existence and uniqueness of solutions, as well as the ergodicity and exponential mixing to invariant measures, and limit theorems for a class of McKean-…