Abstract

In this paper, we derive several results related to the long-time behavior of a class of stochastic semilinear evolution equations in a separable Hilbert space H: $$d\mathfrak{u}(t) +[{\rm A}\mathfrak{u}(t)+{\rm B}(\mathfrak{u}(t),\mathfrak{u}(t))] dt = dL(t), \quad\mathfrak{u}(0)=x\in {\rm H}.$$ Here A is a positive self-adjoint operator and B is a bilinear map, and the driving noise L is basically a \({D({\rm A}^{-1/2})}\) -valued levy process satisfying several technical assumptions. By using a density transformation theorem type for levy measure, we first prove a support theorem and an irreducibility property of the Ornstein–Uhlenbeck processes associated to the nonlinear stochastic problem. Second, by exploiting the previous results we establish the irreducibility of the nonlinear problem provided that for a certain \({\gamma \in [0,1/4]}\)B is continuous on \({D({\rm A}^\gamma)\times D({\rm A}^\gamma)}\) with values in \({D({\rm A}^ {-1/2})}\). Using a coupling argument, the exponential ergodicity is also proved under the stronger assumption that B is continuous on \({{\rm H} \times{\rm H}}\). While the latter condition is only satisfied by the nonlinearities of GOY and Sabra shell models, the assumption under which the irreducibility property holds is verified by several hydrodynamical systems such as the 2D Navier–Stokes, Magnetohydrodynamics equations, the 3D Leray-\({{\varvec{\alpha}}}\) model, the GOY and Sabra shell models.

Highlights

  • Motivated by the need of rigorous mathematical results to understand the turbulence phenomenon in fluid dynamics, several prominent mathematicians have intensively studied the ergodicity of stochastic hydrodynamical systems driven by Wiener noise

  • In contrast to the case of SPDEs with Wiener noise, there are not so many results related to the long-time behavior of the stochastic version of hydrodynamical systems

  • Among others, to [18,19,33,38,43,45,46,48,49] for results related to the ergodicity, irreducibility and mixing property of several classes of stochastic evolution equations driven by Lévy processes

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Summary

Introduction

Motivated by the need of rigorous mathematical results to understand the turbulence phenomenon in fluid dynamics, several prominent mathematicians have intensively studied the ergodicity of stochastic hydrodynamical systems driven by Wiener noise. Pt 1 a,ε (x) = P (|u(t, x) − a| < ε) > 0, We apply the above theorem to infer the irreducibility of the 2D Navier–Stokes (NSEs), Magnetohydrodynamics (MHD) equations and the 3D Leray-α model driven by a pure jump Lévy process L.

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