Ergodicity of 2D singular stochastic Navier-Stokes equations
Fuente:
arXiv
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| Auteurs principaux: | , |
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| Format: | Preprint |
| Publié: |
2024
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| _version_ | 1866918164834549760 |
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| author | Hairer, Martin Zhao, Wenhao |
| author_facet | Hairer, Martin Zhao, Wenhao |
| contents | We consider the 2D stochastic Navier-Stokes equations driven by noise that has the regularity of space-time white noise but doesn't exactly coincide with it. We show that, provided that the intensity of the noise is sufficiently weak at high frequencies, this systems admits uniform bounds in time, so that it has an invariant measure, for which we obtain stretched exponential tail bounds. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2411_03482 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Ergodicity of 2D singular stochastic Navier-Stokes equations Hairer, Martin Zhao, Wenhao Probability Analysis of PDEs We consider the 2D stochastic Navier-Stokes equations driven by noise that has the regularity of space-time white noise but doesn't exactly coincide with it. We show that, provided that the intensity of the noise is sufficiently weak at high frequencies, this systems admits uniform bounds in time, so that it has an invariant measure, for which we obtain stretched exponential tail bounds. |
| title | Ergodicity of 2D singular stochastic Navier-Stokes equations |
| topic | Probability Analysis of PDEs |
| url | https://arxiv.org/abs/2411.03482 |