Random Attractors for the Stochastic Benjamin-Bona-Mahony Equation on Unbounded Domains
By Bixiang Wang. 2008
162 citations recorded by the source corpus.
We prove the existence of a compact random attractor for the stochastic Benjamin-Bona-Mahony Equation defined on an unbounded domain. This random attractor is invariant and attracts every pulled-back tempered random set under the forward flow. The asymptotic compactness of the random dynamical system is established by a tail-estimates method, which shows that the solutions are uniformly asymptotically small when space and time variables approach infinity.
Subfields: Computational Theory and Mathematics, Control and Systems Engineering, Finance
View Paper: https://www.semanticscholar.org/paper/19254d7704ed1048347dc0c093fbd4a2ae94a112
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In Computational Theory and Mathematics
- Bixiang Wang
- Anhui Gu
- Kening Lu
- Andrew L. Krause
- Peter W. Bates
- Shengfan Zhou
- Xiaohu Wang
- Yangrong Li
In Control and Systems Engineering
- Bixiang Wang
- Anhui Gu
- Kening Lu
- Andrew L. Krause
- Peter W. Bates
- Shengfan Zhou
- Xiaohu Wang
- Renhai Wang
In Finance
Citations in the corpus
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- Pullback attractors of non-autonomous stochastic degenerate parabolic equations on unbounded domains (2013, background): “Since then, such attractors for autonomous stochastic PDEs have been studied in [6, 7, 8, 9, 10, 11, 13, 14, 15, 16, 18, 19, 20, 21, 22, 23, 24, 25, 26, 30, 31] in bounded domains, and in [4, 33, 34] in unbounded domains.”
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