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<p>We propose a mathematical derivation of stochastic compressible Navier–Stokes equation. We consider many-particle systems with a Hamiltonian dynamics supplemented by a friction term and environmental noise. Both the interaction potential and the additional friction force are supposed to be long range in comparison with the typical distance between neighboring particles. It is shown that the empirical measures associated with the position and velocity of the system converge to the solutions of the stochastic compressible Navier–Stokes equations of a barotropic fluid. Moreover, we quantify the distance between particles and the limit in suitable Besov and Triebel–Lizorkin spaces.</p>

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From Particle Systems to the Stochastic Compressible Navier–Stokes Equations of a Barotropic Fluid

  • 期刊论文

  • 发表日期：

    2025年3月6日

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  • Jesus Correa,
  • Christian Olivera

摘要

We propose a mathematical derivation of stochastic compressible Navier–Stokes equation. We consider many-particle systems with a Hamiltonian dynamics supplemented by a friction term and environmental noise. Both the interaction potential and the additional friction force are supposed to be long range in comparison with the typical distance between neighboring particles. It is shown that the empirical measures associated with the position and velocity of the system converge to the solutions of the stochastic compressible Navier–Stokes equations of a barotropic fluid. Moreover, we quantify the distance between particles and the limit in suitable Besov and Triebel–Lizorkin spaces.