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arXiv 2206.09862math.PRmath-phmath.MP
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传染病随机粒子系统的混沌传播

Propagation of chaos for a stochastic particle system modelling epidemics

Alessandro Ciallella, Mario Pulvirenti, Sergio Simonella

摘要:

我们考虑一个简单的随机$N$ -粒子系统,已经研究了相同的作者在\cite{CPS21},代表不同的人口代理。每个特工都有一个标签,描述他的健康状况。我们严格地表明,在限制$N \to \infty$,混沌的传播持有,导致一组动力学方程,这是一个空间不均匀的版本的经典SIR模型。我们改进了在\cite{CPS21}中得到的类似结果,在这里使用不同的耦合技术,这使得分析更简单,更自然和透明。

英文摘要:

We consider a simple stochastic $N$-particle system, already studied by the same authors in \cite{CPS21}, representing different populations of agents. Each agent has a label describing his state of health. We show rigorously that, in the limit $N \to \infty$, propagation of chaos holds, leading to a set of kinetic equations which are a spatially inhomogeneous version of the classical SIR model. We improve a similar result obtained in \cite{CPS21} by using here a different coupling technique, which makes the analysis simpler, more natural and transparent.

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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