Kinetic model for the many-particle PCC model in the normalized case

Let MM be the state manifold, let R>0R>0, let vv denote the velocity variable, and let K{\mathcal K} be the interaction kernel. Let μtN\mu_t^N be the empirical measure of the normalized many-particle PCC model, and suppose that the initial empirical measures satisfy the same assumptions as in the non-normalized case: μ0N\mu_0^N converge in probability as NN\to\infty to a deterministic absolutely continuous probability measure f0dxVolMf_0\,|dx\wedge\operatorname{Vol}_M|. Assume also that the denominator in the normalized interaction law does not vanish. Kinetic model for the many-particle PCC model in the normalized case. For every t[0,)t\in[0,\infty), μtN\mu_t^N converges towards a deterministic absolutely continuous probability measure ftdxVolMf_t\,|dx\wedge\operatorname{Vol}_M|, where f(x,α,t)ft(x,α)f(x,\alpha,t)\equiv f_t(x,\alpha) satisfies the kinetic equation for the single-particle model with J=Jf(x,t){\mathcal J}={\mathcal J}_f(x,t), where

Jf(x,t)=Rn×MK(xyR)vf(y,α,t)dxVolM(y,α)Rn×MK(xyR)vf(y,α,t)dxVolM(y,α).{\mathcal J}_f(x,t)=\frac{\displaystyle\int_{{\mathbb R}^n\times M}{\mathcal K}\left(\frac{|x-y|}{R}\right)\,v\,f(y,\alpha,t)\,|dx\wedge\operatorname{Vol}_M|(y,\alpha)}{\displaystyle\left|\int_{{\mathbb R}^n\times M}{\mathcal K}\left(\frac{|x-y|}{R}\right)\,v\,f(y,\alpha,t)\,|dx\wedge\operatorname{Vol}_M|(y,\alpha)\right|}.

The normalized interaction is the expected mean-field expression, but proving convergence is substantially harder because of the denominator's possible singularity; the source notes that this issue remains unresolved even for the Vicsek model except when the normalization singularity is regularized.

Sources & referencesView supporting material

Primary source

Pierre Degond, Antoine Diez and Amic Frouvelle, “Swarming by curvature control in arbitrary dimension”, arXiv:2512.02800 (2025).

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