2015
DOI: 10.1016/j.jde.2014.09.021
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Existence and continuity of bi-spatial random attractors and application to stochastic semilinear Laplacian equations

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Cited by 154 publications
(125 citation statements)
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“…The first is the existence of the (H, V )-pullback attractor A = {A(τ )} τ ∈R for (1.1), which is a non-autonomous set pullback attracting bounded sets of H under the topology of V , where H := (L 2 (O)) d , V := (H 1 0 (O)) d . This is a study of bi-spatial attractors which attracted much attention these years due to their higher regularity and stronger attracting ability compared with usual attractor, see [7,13,12] for single-valued non-autonomous/random cocycles and [21,19] for multi-valued semi-groups and random cocycles, respectively. In this paper, we develop a study for m-NDS which can be regarded as an extension of the bi-spacial attractor theory on one hand, and is interesting because of the multi-valued feature on the other hand.…”
Section: Introductionmentioning
confidence: 99%
“…The first is the existence of the (H, V )-pullback attractor A = {A(τ )} τ ∈R for (1.1), which is a non-autonomous set pullback attracting bounded sets of H under the topology of V , where H := (L 2 (O)) d , V := (H 1 0 (O)) d . This is a study of bi-spatial attractors which attracted much attention these years due to their higher regularity and stronger attracting ability compared with usual attractor, see [7,13,12] for single-valued non-autonomous/random cocycles and [21,19] for multi-valued semi-groups and random cocycles, respectively. In this paper, we develop a study for m-NDS which can be regarded as an extension of the bi-spacial attractor theory on one hand, and is interesting because of the multi-valued feature on the other hand.…”
Section: Introductionmentioning
confidence: 99%
“…By the abstract result given by [14,Theorem 4.1], it suffices to verify the following three aspects.…”
Section: Theoremmentioning
confidence: 99%
“…By applying the abstract result given in Li et al [14], we need to verify the uniform absorption (Section 3), the collectively limit-set compactness (Section 4) and the convergence (Section 5) of the random system. In particular, the novelties and difficulties come from verifying the limit-set compactness.…”
Section: Introductionmentioning
confidence: 99%
“…All those assumptions are different from dealing with the pullback dynamics for other nonautonomous dissipative equations (see, e.g., [17,[21][22][23][24][25][26][27][28]). …”
Section: Introductionmentioning
confidence: 99%