Spatial analyticity and exponential decay of Fourier modes for the stochastic Navier-Stokes equation
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arXiv
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| Format: | Preprint |
| Published: |
2022
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| _version_ | 1866911953043062784 |
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| author | Crisan, Dan Mensah, Prince Romeo |
| author_facet | Crisan, Dan Mensah, Prince Romeo |
| contents | We construct a local in time spatially real-analytic solution to the 2D and 3D stochastic Navier--Stokes equation driven by a spatially real-analytic multiplicative and transport noise but emanating from an initial condition that is only required to have bounded enstrophy. Under the condition that the solution is global in time, we also establish the exponential decay of the finite-dimensional Galerkin approximation, with respect to its maximum wavenumber, to the strong pathwise solution of the stochastic Navier--Stokes equation. This decay is uniform in time, uniform with respect to the initial enstropy, and uniform in the noise coefficients. |
| format | Preprint |
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arxiv_https___arxiv_org_abs_2209_14862 |
| institution | arXiv |
| publishDate | 2022 |
| record_format | arxiv |
| spellingShingle | Spatial analyticity and exponential decay of Fourier modes for the stochastic Navier-Stokes equation Crisan, Dan Mensah, Prince Romeo Analysis of PDEs Probability We construct a local in time spatially real-analytic solution to the 2D and 3D stochastic Navier--Stokes equation driven by a spatially real-analytic multiplicative and transport noise but emanating from an initial condition that is only required to have bounded enstrophy. Under the condition that the solution is global in time, we also establish the exponential decay of the finite-dimensional Galerkin approximation, with respect to its maximum wavenumber, to the strong pathwise solution of the stochastic Navier--Stokes equation. This decay is uniform in time, uniform with respect to the initial enstropy, and uniform in the noise coefficients. |
| title | Spatial analyticity and exponential decay of Fourier modes for the stochastic Navier-Stokes equation |
| topic | Analysis of PDEs Probability |
| url | https://arxiv.org/abs/2209.14862 |