Continuum and thermodynamic limits for a simple random-exchange model

Continuum and thermodynamic limits for a simple random-exchange model
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简单随机交换模型的连续体和热力学极限

DOI:
10.1016/j.spa.2022.03.015
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发表时间:
2022
影响因子:
1.4
通讯作者:
Düring B
Düring B
中科院分区:
数学3区
文献类型:
--
作者:
Düring B

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我们讨论了可用于财富分配的简单随机交换模型的各种限制。我们从该模型的离散状态空间-离散时间模型出发,在适当的尺度下,我们证明了它的泛函收敛到一个连续的空间-离散时间模型。然后,我们给出了一个玻尔兹曼型动力学方程解的经验分布的热力学极限。我们解了这个方程,并证明了解与马尔可夫链的不变测度的适当极限重合。这样,我们就完成了玻尔兹曼从随机动力学中推导出这个简单模型的动力学方程的程序。我们发现了平均场极限的三族不变测度,并且证明了这三族中只有两族可以作为离散系统的极限,而第三族是无关的。
We discuss various limits of a simple random exchange model that can be used for the distribution of wealth. We start from a discrete state space — discrete time version of this model and, under suitable scaling, we show its functional convergence to a continuous space — discrete time model. Then, we show a thermodynamic limit of the empirical distribution to the solution of a kinetic equation of Boltzmann type. We solve this equation and we show that the solutions coincide with the appropriate limits of the invariant measure for the Markov chain. In this way we complete Boltzmann’s program of deriving kinetic equations from random dynamics for this simple model. Three families of invariant measures for the mean field limit are discovered and we show that only two of those families can be obtained as limits of the discrete system while the third is extraneous.
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发表时间: 2010-02
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影响因子: --
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财富分配模型的连续体和热力学极限
DOI: --
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