Random attractors via pathwise mild solutions for stochastic parabolic evolution equations
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AbstractWe investigate the longtime behavior of stochastic partial differential equations (SPDEs) with differential operators that depend on time and the underlying probability space. In particular, we consider stochastic parabolic evolution problems in Banach spaces with additive noise and prove the existence of random exponential attractors. These are compact random sets of finite fractal dimension that contain the global random attractor and are attracting at an exponential rate. In order to apply the framework of random dynamical systems, we use the concept of pathwise mild solutions.
ATTRACTORS FOR A CAGINALP MODEL WITH A LOGARITHMIC POTENTIAL AND COUPLED DYNAMIC BOUNDARY CONDITIONS
2013 ◽
Vol 11
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pp. 1350024
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2019 ◽
Vol 53
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pp. 635-658
2009 ◽
Vol 12
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pp. 575-591
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2014 ◽
Vol 17
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2000 ◽
Vol 128
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pp. 3483-3492
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1988 ◽
Vol 78
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pp. 233-270
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