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April 12, 2026Probability Theory and Related Fields0 citationsOpen Access

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

FBFederico ButoriFFFranco FlandoliELEliseo Luongo

Key Points

  • The research aims to explore the behavior of passive scalar and vector quantities under stochastic transport noise and establish connections to deterministic equations.
  • Introduced stochastic Vlasov equations to analyze fluctuations in solutions.
  • Studied convergence properties of passive scalar and vector equations under stochastic noise.
  • Applied Young measures to characterize statistical behavior of solutions.
  • Weak convergence of scalar quantities to deterministic equations with diffusion was established.
  • For passive vector fields, the Vlasov equation provided new statistical insights into the advection equation.
  • Limit PDEs with suitable diffusion were shown to be satisfied by the Young measures.

Abstract

Abstract 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 give 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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Cite This Study

Butori et al. (2026) studied this question.

synapsesocial.com/papers/69db37774fe01fead37c57e9https://doi.org/10.1007/s00440-026-01471-3
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