Plasma dynamics in thin domains
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arXiv
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| Main Authors: | , , |
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| Format: | Preprint |
| Published: |
2025
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| _version_ | 1866929693166403584 |
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| author | Holm, Darryl D. Hu, Ruiao Street, Oliver D. |
| author_facet | Holm, Darryl D. Hu, Ruiao Street, Oliver D. |
| contents | In the present work, we study the geometric structures of the Rotating Shallow Water Magnetohydrodynamics (RSW-MHD) equations through a Lie group invariant Euler-Poincaré variational principle. In this geometric framework, we derive new, structure-preserving stochastic RSW-MHD models by introducing stochastic perturbations to the Lie-Poisson structure of the deterministic RSW-MHD equations. The resulting stochastic RSW-MHD equations provide new capabilities for potential application to uncertainty quantification and data assimilation, for example, in space plasma (space weather) and solar physics, particularly in solar tachocline dynamics. |
| format | Preprint |
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arxiv_https___arxiv_org_abs_2501_19171 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Plasma dynamics in thin domains Holm, Darryl D. Hu, Ruiao Street, Oliver D. Plasma Physics Mathematical Physics In the present work, we study the geometric structures of the Rotating Shallow Water Magnetohydrodynamics (RSW-MHD) equations through a Lie group invariant Euler-Poincaré variational principle. In this geometric framework, we derive new, structure-preserving stochastic RSW-MHD models by introducing stochastic perturbations to the Lie-Poisson structure of the deterministic RSW-MHD equations. The resulting stochastic RSW-MHD equations provide new capabilities for potential application to uncertainty quantification and data assimilation, for example, in space plasma (space weather) and solar physics, particularly in solar tachocline dynamics. |
| title | Plasma dynamics in thin domains |
| topic | Plasma Physics Mathematical Physics |
| url | https://arxiv.org/abs/2501.19171 |