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Probability Theory and Related Fields
Article . 1994 . Peer-reviewed
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Attractors for random dynamical systems

Authors: FLANDOLI FRANCO; Hans Crauel;

Attractors for random dynamical systems

Abstract

Random dynamical systems are treated, the notions of an omega limit set, a random invariant set, an absorbing set and a global attractor are introduced. Conditions are given under which a global attractor (being a compact random invariant set) exists, and some of its properties are established. The theory is then applied to a reaction-diffusion equation with additive noise and to the stochastic Navier-Stokes equation with multiplicative, resp. additive noise. In all the three cases the existence of a compact stochastic attractor is proved.

Country
Italy
Keywords

Attractors and repellers of smooth dynamical systems and their topological structure, global attractor, Ergodic theory, absorbing set, stochastic Navier-Stokes equation, random dynamical systems, omega limit set, Reaction-diffusion equations, Stochastic partial differential equations (aspects of stochastic analysis), reaction-diffusion equation, Navier-Stokes equations, random invariant set

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    Impact byBIP!
    citations
    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).
    750
    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.
    Top 0.1%
    influence
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    Top 0.1%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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citations
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!
750
Top 0.1%
Top 0.1%
Top 10%
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