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Wealth condensation in a multiplicative random asset exchange model

机译:乘法随机资产交换模型中的财富凝聚

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Random Asset Exchange (RAE) models, despite a number of simplifying assumptions, serve the purpose of establishing direct relationships between microscopic exchange mechanisms and observed economical data. In this work a conservative multiplicative RAE model is discussed in which, at each timestep, two agents “bet” for a fraction f of the poorest agent's wealth. When the poorest agent wins the bet with probability p, we show that, in a well defined region of the (p,f) phase space, there is wealth condensation. This means that all wealth ends up owned by only one agent, in the long run. We derive the condensation conditions analytically by two different procedures, and find results in accordance with previous numerical estimates. In the non-condensed phase, the equilibrium wealth distribution is a power law for small wealths. The associated exponent is derived analytically and it is found that it tends to -1 on the condensation interface. I turns out that wealth condensation happens also for values of p much larger than 0.5, that is under microscopic exchange rules that, apparently, favor the poor. We argue that the observed “rich get richer” effect is enhanced by the multiplicative character of the dynamics.
机译:尽管有许多简化的假设,随机资产交换(RAE)模型仍可用于建立微观交换机制与观察到的经济数据之间的直接关系。在这项工作中,讨论了一个保守的乘法RAE模型,其中在每个时间步上,两个代理商“下注”最贫穷代理商财富的一小部分f。当最贫穷的代理人以概率p赢得赌注时,我们证明,在(p,f)相空间的明确定义的区域中,存在财富缩合。从长远来看,这意味着所有财富最终只能由一个代理商拥有。我们通过两种不同的方法解析得出冷凝条件,并根据先前的数值估算找到结果。在非浓缩阶段,均衡财富分配是小财富的幂律。通过分析得出相关指数,发现在缩合界面上该指数趋于-1。我发现,在远大于0.5的p值下,财富缩合也会发生,这显然是有利于穷人的。我们认为,动力学的乘法特性增强了观察到的“富人致富”效应。

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    Depto. de Física Aplicada CINVESTAV del IPN Av. Tecnológico Km 6 97310 Mérida Yucatán Mexico;

    Instituto de Física Universidade Federal do Rio Grande do Sul Caixa Postal 15051 91501-970 Porto Alegre Brazil;

    Instituto de Física Universidade Federal do Rio Grande do Sul Caixa Postal 15051 91501-970 Porto Alegre Brazil;

    Depto. de Física Aplicada CINVESTAV del IPN Av. Tecnológico Km 6 97310 Mérida Yucatán Mexico;

    Depto. de Física Aplicada CINVESTAV del IPN Av. Tecnológico Km 6 97310 Mérida Yucatán Mexico;

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