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Random attractors for stochastic parabolic equations with additive noise in weighted spaces. (English) Zbl 1516.35106

Summary: In this paper, we establish the existence of random attractors for stochastic parabolic equations driven by additive noise as well as deterministic non-autonomous forcing terms in weighted Lebesgue spaces \(L_{\delta}^r(\mathcal{O})\), where \(1<r<\infty\), \(\delta\) is the distance from \(x\) to the boundary. The nonlinearity \(f(x,u)\) of equation depending on the spatial variable does not have the bound on the derivative in \(u\), and then causes critical exponent. In both subcritical and critical cases, we get the well-posedness and dissipativeness of the problem under consideration and, by smoothing property of heat semigroup in weighted space, the asymptotical compactness of random dynamical system corresponding to the original system.

MSC:

35B41 Attractors
35R60 PDEs with randomness, stochastic partial differential equations
37B55 Topological dynamics of nonautonomous systems
37L30 Attractors and their dimensions, Lyapunov exponents for infinite-dimensional dissipative dynamical systems
37L05 General theory of infinite-dimensional dissipative dynamical systems, nonlinear semigroups, evolution equations
Full Text: DOI

References:

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