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Bi-spatial Pullback Attractors of Fractional Nonclassical Diffusion Equations on Unbounded Domains with (pq)-Growth Nonlinearities

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This article is concerned with the existence as well as regularity of pullback attractors for a wide class of non-autonomous, fractional, nonclassical diffusion equations with (pq)-growth nonlinearities defined on unbounded domains. We first establish the well-posedness of solutions as well as the existence of an energy equation, and then prove the existence of a unique pullback attractor in the fractional Sobolev space \(H^s({\mathbb {R}}^N)\) for all \(s\in (0,1]\). Finally, we show that this attractor is a bi-spatial \((H^s({\mathbb {R}}^N),L^r({\mathbb {R}}^N))\)-attractor in two cases:

$$\begin{aligned} 2\le r\le \max (p,q)\text { for }s=1;\text { and }2\le r<\max (p,q) \text { for }s\in (0,1). \end{aligned}$$

The idea of energy equations and the method of asymptotic a priori estimates are employed to establish the pullback asymptotic compactness of the solutions in \(H^s({\mathbb {R}}^N)\cap L^r({\mathbb {R}}^N)\) in order to overcome the non-compactness of the Sobolev embedding on the unbounded domain as well as the weak dissipation of the equations. This is the first time to study the bi-spatial attractor of the equation when the initial space is \(H^s({\mathbb {R}}^N)\), and the result of this article is new even in \(H^1({\mathbb {R}}^N)\cap L^r({\mathbb {R}}^N)\) when the fractional Laplace operator reduces to the standard Laplace operator.

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Acknowledgements

Yangrong Li was supported by the National Natural Science Foundation of China Grant 11571283. Renhai Wang was supported by the China Scholarship Council (CSC No. 201806990064). This work was done when Renhai Wang visited the Department of Mathematics at the New Mexico Institute of Mining and Technology. He would like to express his thanks to all people there for their kind hospitality.

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Wang, R., Li, Y. & Wang, B. Bi-spatial Pullback Attractors of Fractional Nonclassical Diffusion Equations on Unbounded Domains with (pq)-Growth Nonlinearities. Appl Math Optim 84, 425–461 (2021). https://doi.org/10.1007/s00245-019-09650-6

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