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Background Vlasov equations and Young measures for passive scalar and vector advection equations under special stochastic scaling limits

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arxiv 2407.10594 v1 pith:VREYSV5H submitted 2024-07-15 math.PR math-phmath.APmath.MP

classification math.PRmath-phmath.APmath.MP
keywords stochasticequationspassivebackgroundsuitablevectorvlasovadvection
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In the last few years it was proved that scalar passive quantities subject to suitable stochastic transport noise, and more recently that also vector passive quantities subject to suitable stochastic transport and stretching noise, weakly converge to the solutions of deterministic equations with a diffusion term. In the background of these stochastic models, we introduce stochastic Vlasov equations which gives additional information on the fluctuations and oscillations of solutions: we prove convergence to non-trivial Young measures satisfying limit PDEs with suitable diffusion terms. In the case of a passive vector field the background Vlasov equation adds completely new statistical information to the stochastic advection equation.

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Cited by 1 Pith paper

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

  1. Scaling Limit and Large Deviation for 3D Globally Modified Stochastic Navier-Stokes Equations with Transport Noise

    math.PR 2024-12 conditional novelty 5.0 of 10

    Well-posedness, convergence to a deterministic equation with enhanced dissipation, and an LDP are established for 3D stochastic globally modified Navier-Stokes equations with transport noise.

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