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

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 $\epsilon \sim (\ln N{)}^{-\frac{2}{d+2}}$: when $N\to \mathrm{\infty }$, 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.