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arXiv · 2209.01722

Mean-field limit of a particle approximation for the parabolic-parabolic Keller-Segel model

Li Chen·Shu Wang·Rong Yang
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Abstract

In this paper, we study propagation of chaos for the parabolic-parabolic Keller-Segel model with a logarithmic cut-off by establishing a rigorous convergence analysis from a stochastic particle system to the parabolic-parabolic Keller-Segel (KS) equation for any dimension case. Under the assumption that the initial data are independent and identically distributed (i.i.d.) with a common probability density function $\rho_0$, we rigorously prove the propagation of chaos for this interacting system with a cut-off parameter $\varepsilon\sim (\ln N)^{-\frac{2}{d+2}}$: when $N\rightarrow \infty$, the joint distribution of the particle system is $f$-chaotic and the measure $f$ possesses a density which is a weak solution to the mean-field parabolic-parabolic KS equation.

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Li Chen, Shu Wang, Rong Yang. 2022-09-05. Mean-field limit of a particle approximation for the parabolic-parabolic Keller-Segel model. https://arxiv.org/abs/2209.01722

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