2021
DOI: 10.1016/j.jde.2020.07.037
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Non-autonomous nonlocal partial differential equations with delay and memory

Abstract: The paper addresses a kind of non-autonomous nonlocal parabolic equations when the external force contains hereditary characteristics involving bounded and unbounded delays. First, well-posedness of the problem is analyzed by the Galerkin method and energy estimations in the phase space C ρ (X). Moreover, some results related to strong solutions are proved under suitable assumptions. The existence of stationary solutions is then established by a corollary of the Brower fixed point theorem. By constructing appr… Show more

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Cited by 52 publications
(20 citation statements)
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“…Obviously, these conditions are more restrictive than the previous (i)-(iii).We also want to emphasize that if condition (11) were adopted in [17] instead of (2.3)-(2.4), the method to prove the main results of [17] could not be used successfully.…”
Section: 1mentioning
confidence: 99%
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“…Obviously, these conditions are more restrictive than the previous (i)-(iii).We also want to emphasize that if condition (11) were adopted in [17] instead of (2.3)-(2.4), the method to prove the main results of [17] could not be used successfully.…”
Section: 1mentioning
confidence: 99%
“…Inspired by the above work, the dynamics of the following non-autonomous nonlocal partial differential equations with delay and memory was investigated in [17] by using the Galerkin method and energy estimations,…”
Section: And References Therein)mentioning
confidence: 99%
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“…In particular, we refer to Alabau-Boussouira 22 for a Timoshenko model for beams in one dimension. Finally, we refer also to Caraballo and Han, Liu et al, Marin-Rubio et al, and Xu et al [23][24][25][26] for other applications to delayed systems.…”
Section: Introductionmentioning
confidence: 99%
“…For nonautonomous PDEs, the situation becomes more complicated since the explicit dependence of the system on the initial time s and the final time t. As far as we know, mainly two kinds of methods can be used to generalize the concepts of attractors to the nonautonomous PDEs. One of them describes the nonautonomous attractor A as a time-dependent set A = A(t), t ∈ R. This leads to the concept of pullback attractors, see [2], [6], [16], [18]. And it can also be well adapted to study the Random/Stochastic PDEs, see, e.g., [4].…”
mentioning
confidence: 99%