The rigorous derivation of Vlasov equations with local alignments from moderately interacting particle systems
Jinhuan Wang, Mengdi Zhuang, Hui Huang

TL;DR
This paper rigorously derives the Vlasov equations with local alignments from particle systems, improving the cutoff scaling for singular potentials and establishing convergence in the mean-field limit.
Contribution
It provides a new derivation of Vlasov equations with local alignments from particle systems with a polynomial cutoff for singular potentials.
Findings
Convergence of particle system solutions to Vlasov models.
Improved cutoff scaling from logarithmic to polynomial.
Rigorous probabilistic derivation of mean-field limit.
Abstract
In this paper, we present a rigorous derivation of the mean-field limit for a moderately interacting particle system in . For stochastic initial data, we demonstrate that the solution to the interacting particle model, with an appropriately applied cut-off, converges in probabilistic sense to the solution of the characteristics of the regularized Vlasov models featuring local alignments and Newtonian potential. Notably, the cutoff parameter for the singular potential is selected to scale polynomially with the number of particles, representing an improvement over the logarithmic cut-off obtained in [38].
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Taxonomy
TopicsAdvanced Thermodynamics and Statistical Mechanics · Statistical Mechanics and Entropy · Theoretical and Computational Physics
