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Weak well-posedness by transport noise for a class of 2D fluid dynamics equations

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arxiv 2305.08761 v3 pith:BP4EQ23K submitted 2023-05-15 math.PR math.AP

classification math.PRmath.AP
keywords noiseequationsclassfluidcasedeterministicdynamicseuler
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abstract

A fundamental open problem in fluid dynamics is whether solutions to $2$D Euler equations with $(L^1_x\cap L^p_x)$-valued vorticity are unique, for some $p\in [1,\infty)$. A related question, more probabilistic in flavour, is whether one can find a physically relevant noise regularizing the PDE. We present some substantial advances towards a resolution of the latter, by establishing well-posedness in law for solutions with $(L^1_x\cap L^2_x)$-valued vorticity and finite kinetic energy, for a general class of stochastic 2D fluid dynamical equations; the noise is spatially rough and of Kraichnan type and we allow the presence of a deterministic forcing $f$. This class includes as primary examples logarithmically regularized 2D Euler and hypodissipative 2D Navier-Stokes equations. In the first case, our result solves the open problem posed by Flandoli. In the latter case, for well-chosen forcing $f$, the corresponding deterministic PDE without noise has recently been shown by Albritton and Colombo to be ill-posed; consequently, the addition of noise truly improves the solution theory for such PDE.

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Cited by 2 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Closed Estimates of Leray Projected Transport Noise and Strong Solutions of the Stochastic Euler Equations

    math.AP 2025-07 conditional novelty 8.0 of 10

    Closed Sobolev estimates for Leray-projected transport noise yield unique local strong solutions of the 3D stochastic Euler equations, with blow-up characterized by L1([0,T]; W^{1,∞}).

  2. Zero-noise selection and Large Deviations in $L^\infty_t L^p_x$ for the stochastic transport equation beyond DiPerna-Lions

    math.PR 2025-06 conditional novelty 8.0 of 10

    Rough transport noise selects the unique DiPerna-Lions solution in the zero-noise limit and yields a large deviations principle in the non-separable space L^∞_t L^p_x.

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