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On the mean-field limit for the Vlasov-Poisson system

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arxiv 2504.01471 v1 pith:5D7HEKIZ submitted 2025-04-02 math-ph math.DSmath.MPphysics.class-ph

On the mean-field limit for the Vlasov-Poisson system

classification math-ph math.DSmath.MPphysics.class-ph
keywords dynamicsforcemean-fieldsystemvlasov-poissoncoulombcut-offdistance
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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We present a probabilistic proof of the mean-field limit and propagation of chaos of a classical N-particle system in three dimensions with Coulomb interaction force of the form $f^N(q)=\pm\frac{q}{|q|^3}$ and $N$-dependent cut-off at $|q|>N^{-\frac{5}{12}+\sigma}$ where $\sigma>0$ can be chosen arbitrarily small. This cut-off size is much smaller than the typical distance to the nearest neighbour. In particular, for typical initial data, we show convergence of the Newtonian trajectories to the characteristics of the Vlasov-Poisson system. The proof is based on a Gronwall estimate for the maximal distance between the exact microscopic dynamics and the approximate mean-field dynamics. Thus our result leads to a derivation of the Vlasov-Poisson equation from the microscopic $N$-particle dynamics with force term arbitrary close to the physically relevant Coulomb force.

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Cited by 2 Pith papers

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  1. A Formalization of the Mean-Field Derivation of the Vlasov Equation

    cs.AI 2026-07 unverdicted novelty 6.0

    AI-assisted Lean 4 formalization yields an axiom-clean, sorry-free development of Dobrushin mean-field well-posedness for the nonlinear Vlasov equation plus a Mathlib-absorbable Wasserstein-1 layer.

  2. A Formalization of the Mean-Field Derivation of the Vlasov Equation

    cs.AI 2026-07 conditional novelty 6.0

    A mathematician directing an AI completed an axiom-clean Lean 4 formalization of Dobrushin's mean-field derivation of the Vlasov equation, including well-posedness, stability, a conditional mean-field limit, and a sho...