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Random attractors for stochastic parabolic equations with additive noise in weighted spaces

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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 \begin{document}$… Click to show full abstract

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 \begin{document}$ L_{\delta}^r(\mathcal{O})$\end{document} , where \begin{document}$ 1 is the distance from \begin{document}$ x$\end{document} to the boundary. The nonlinearity \begin{document}$ f(x,u)$\end{document} of equation depending on the spatial variable does not have the bound on the derivative in \begin{document}$ u$\end{document} , 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.

Keywords: additive noise; stochastic parabolic; begin document; attractors stochastic; parabolic equations; random attractors

Journal Title: Communications on Pure and Applied Analysis
Year Published: 2018

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