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20092023
most citedExponential Ergodicity of stochastic Burgers equations driven by -stable processes

36 citations · 143 across the 56 of their papers we have counts for

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Showing 2015Show all

5 papers · 1 filter

math.PR2015

Large deviation principle of occupation measure for stochastic real Ginzburg-Landau equation driven by -stable noises

Ran Wang, Jie Xiong, Lihu Xu

We establish a large deviation principle for the occupation measure of the stochastic real Ginzburg-Landau equation driven by -stable noises. The proof is based on a hyper-expon…

math.PR2015

Irreducibility of stochastic real Ginzburg-Landau equation driven by -stable noises and applications

Ran Wang, Jie Xiong, Lihu Xu

We establish the irreducibility of stochastic real Ginzburg-Landau equation with -stable noises by a maximal inequality and solving a control problem. As applications, we prove…

math.PR2015

Exponential mixing for SPDEs driven by highly degenerate Lévy noises

Xiaobin Sun, Yingchao Xie, Lihu Xu

By a coupling method, we prove that a family of stochastic partial differential equations (SPDEs) driven by highly degenerate pure jump Lévy noises are exponential mixing. These pu…

math.PR2015★ 9 cited

The Large Deviation Principle and Steady-state Fluctuation Theorem for the Entropy Production Rate of a Stochastic Process in Magnetic Fields

Yong Chen, Hao Ge, Jie Xiong +1

Fluctuation theorem is one of the major achievements in the field of nonequilibrium statistical mechanics during the past two decades. Steady-state fluctuation theorem of sample en…

math.PR2015★ 13 cited

Asymptotics of Sample Entropy Production Rate for Stochastic Differential Equations

Feng-Yu Wang, Jie Xiong, Lihu Xu

By using the dimension-free Harnack inequality and the integration by parts formula for the associated diffusion semigroup, we prove the central limit theorem, the moderate deviati…