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Variational principles for stochastic fluid dynamics
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Title: | Variational principles for stochastic fluid dynamics |
Authors: | Holm, DD |
Item Type: | Journal Article |
Abstract: | This paper derives stochastic partial differential equations (SPDEs) for fluid dynamics from a stochastic variational principle (SVP). The paper proceeds by taking variations in the SVP to derive stochastic Stratonovich fluid equations; writing their Itô representation; and then investigating the properties of these stochastic fluid models in comparison with each other, and with the corresponding deterministic fluid models. The circulation properties of the stochastic Stratonovich fluid equations are found to closely mimic those of the deterministic ideal fluid models. As with deterministic ideal flows, motion along the stochastic Stratonovich paths also preserves the helicity of the vortex field lines in incompressible stochastic flows. However, these Stratonovich properties are not apparent in the equivalent Itô representation, because they are disguised by the quadratic covariation drift term arising in the Stratonovich to Itô transformation. This term is a geometric generalization of the quadratic covariation drift term already found for scalar densities in Stratonovich's famous 1966 paper. The paper also derives motion equations for two examples of stochastic geophysical fluid dynamics; namely, the Euler-Boussinesq and quasi-geostropic approximations. |
Issue Date: | 8-Apr-2015 |
Date of Acceptance: | 24-Feb-2015 |
URI: | http://hdl.handle.net/10044/1/64380 |
DOI: | 10.1098/rspa.2014.0963 |
ISSN: | 1364-5021 |
Publisher: | Royal Society, The |
Journal / Book Title: | Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences |
Volume: | 471 |
Issue: | 2176 |
Copyright Statement: | © 2015 The Authors. Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/, which permits unrestricted use, provided the original author and source are credited. |
Keywords: | cylindrical stochastic processes geometric mechanics multiscale fluid dynamics stochastic fluid models symmetry reduced variational principles cylindrical stochastic processes geometric mechanics multiscale fluid dynamics stochastic fluid models symmetry reduced variational principles math-ph math-ph math.MP 01 Mathematical Sciences 02 Physical Sciences 09 Engineering |
Publication Status: | Published |
Conference Place: | England |
Article Number: | 20140963 |
Online Publication Date: | 2015-04-08 |
Appears in Collections: | Applied Mathematics and Mathematical Physics Faculty of Natural Sciences Mathematics |