2021
DOI: 10.48550/arxiv.2108.08701
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From additive to transport noise in 2D fluid dynamics

Franco Flandoli,
Umberto Pappalettera

Abstract: Additive noise in Partial Differential equations, in particular those of fluid mechanics, has relatively natural motivations. The aim of this work is showing that suitable multiscale arguments lead rigorously, from a model of fluid with additive noise, to transport type noise. The arguments apply both to small-scale random perturbations of the fluid acting on a large-scale passive scalar and to the action of the former on the large scales of the fluid itself. Our approach consists in studying the (stochastic) … Show more

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Cited by 2 publications
(2 citation statements)
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“…Of particular interest in fluid dynamics and also for geophysical flows is a noise of transport type which appears naturally when stochastic models are derived from Hamiltonian principles as proposed in [33] (see also [4] for a brief description) and yield a physically relevant randomization [2] with energy conservation. Recently, the importance of transport noise was discussed in the connection with unresolved small scales, see [17,18] and the references therein.…”
Section: Introduction and Main Resultsmentioning
confidence: 99%
“…Of particular interest in fluid dynamics and also for geophysical flows is a noise of transport type which appears naturally when stochastic models are derived from Hamiltonian principles as proposed in [33] (see also [4] for a brief description) and yield a physically relevant randomization [2] with energy conservation. Recently, the importance of transport noise was discussed in the connection with unresolved small scales, see [17,18] and the references therein.…”
Section: Introduction and Main Resultsmentioning
confidence: 99%
“…According to arguments by separation of scales [32,33], stochastic 2D fluid equations driven by multiplicative transport noise in Stratonovich form are suitable models in fluid dynamics, see also [37,17] for variational considerations. Here, the transport noise is assumed to be spatially divergence free, replacing the incompressible flows mentioned above.…”
Section: Introductionmentioning
confidence: 99%