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Pullback Attractors of Nonautonomous and Stochastic Multivalued Dynamical Systems

Pullback attractors of nonautonomous and stochastic multivalued dynamical systems
Authors: Caraballo Garrido, Tomás; Langa Rosado, José Antonio; Melnik, Valery S.; Valero Cuadra, José;

Pullback Attractors of Nonautonomous and Stochastic Multivalued Dynamical Systems

Abstract

In this paper we study the existence of pullback global attractors for multivalued processes generated by differential inclusions. First, we define multivalued dynamical processes, prove abstract results on the existence of !-limit sets and global attractors and study their topological properties (compactness, conectedness). Further, we apply the abstract results to nonautonomous differential inclusions of the reaction-diffusion type in which the forcing term can grow polynomially in time, and to stochastic differential inclusions as well.

Keywords

Asymptotic behaviour, attractor, Differential inclusion, Nonautonomous dynamical system, Reaction-diffusion equations, \(\omega\)-limit sets, Infinite-dimensional random dynamical systems; stochastic equations, Nonlinear parabolic equations, nonautonomous dynamical system, differential inclusion, reaction-diffusion equation, Attractors, Reaction-diffusion equation

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    influence
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
113
Top 10%
Top 10%
Average
Green