Abstract
We consider a family of random quasi-linear equations driven by nonlinear Wong–Zakai noise and parameterized by the non-zero size \(\lambda \) of noise. After proving the existence of a random attractor \(A_\lambda (\omega )\) in the square Lebesgue space, we then show that there is a residual dense subset of the space of nonzero real numbers such that, under the Hausdorff metric, the map \(\lambda \rightarrow A_\lambda (\theta _s\omega )\) is continuous at all points of the residual dense set, where \(\theta _s\) is a group of self-transformations on the probability space. We also prove that as \(\lambda \rightarrow \pm \infty \) the random attractor converges upper-semicontinuously to the global attractor of the deterministic quasi-linear equation. The upper semi-continuity result is new for nonlinear noise, while, the lower semi-continuity result is new even for linear noise. The theory of Baire category is the main tool used to prove the residual continuity.
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This work is supported by National Natural Science Foundation of China Grant 11571283.
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Li, Y., Yang, S. & Zhang, Q. Continuous Wong–Zakai Approximations of Random Attractors for Quasi-linear Equations with Nonlinear Noise. Qual. Theory Dyn. Syst. 19, 87 (2020). https://doi.org/10.1007/s12346-020-00423-z
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DOI: https://doi.org/10.1007/s12346-020-00423-z
Keywords
- Stochastic quasi-linear equations
- Nonlinear noise, random attractors
- Residual continuity
- Wong–Zakai approximation
- Lower semi-continuity
- Weak dissipation