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

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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 N→∞N\to\infty to a deterministic absolutely continuous probability measure f0 ∣dx∧Vol⁡M∣f_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 ft ∣dx∧Vol⁡M∣f_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(∣x−y∣R) v f(y,α,t) ∣dx∧Vol⁡M∣(y,α)∣∫Rn×MK(∣x−y∣R) v f(y,α,t) ∣dx∧Vol⁡M∣(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.

References

Primary source

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

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