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arXiv 2209.01722math.AP
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抛物-抛物Keller-Segel模型粒子近似的平均场极限

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

Li Chen, Shu Wang, Rong Yang

摘要:

本文研究了具有对数截止的抛物-抛物型Keller-Segel(KS)模型的混沌传播,建立了从随机粒子系统到抛物-抛物型Keller-Segel(KS)方程的严格收敛性分析.在假设初始数据是独立同分布(i.i.d.)利用一个公共的概率密度函数$ρ_0$,我们严格地证明了具有截断参数$\varepsilon\sim (\ln N)^{-\frac{2}{d+2}}$的相互作用系统的混沌传播:当$N\rightarrow \infty$时,粒子系统的联合分布是$f$ -混沌的,并且测度$f$具有一个密度,它是平均场抛物-抛物KS方程的一个弱解.

英文摘要:

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 $ρ_0$, 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.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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