Global pathwise solutions of an abstract stochastic equation
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arXiv
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| Main Authors: | , |
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| Format: | Preprint |
| Published: |
2024
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| _version_ | 1866913410269052928 |
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| author | Lin, Y. -X. Wang, Y. -G. |
| author_facet | Lin, Y. -X. Wang, Y. -G. |
| contents | We establish the existence and uniqueness of the maximal pathwise solution for an abstract nonlinear stochastic evolutional equation, which takes the two and three dimensional stochastic Navier-Stokes equations as a typical model, forced by a multiplicative white noise, and show that the pathwise solution exists globally in time in a positive probability when the initial data is sufficiently small. Moreover, a global pathwise solution is obtained for the stochastic Navier-Stokes equations defined on torus when the data is properly regular and small. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2407_00722 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Global pathwise solutions of an abstract stochastic equation Lin, Y. -X. Wang, Y. -G. Analysis of PDEs Probability We establish the existence and uniqueness of the maximal pathwise solution for an abstract nonlinear stochastic evolutional equation, which takes the two and three dimensional stochastic Navier-Stokes equations as a typical model, forced by a multiplicative white noise, and show that the pathwise solution exists globally in time in a positive probability when the initial data is sufficiently small. Moreover, a global pathwise solution is obtained for the stochastic Navier-Stokes equations defined on torus when the data is properly regular and small. |
| title | Global pathwise solutions of an abstract stochastic equation |
| topic | Analysis of PDEs Probability |
| url | https://arxiv.org/abs/2407.00722 |