arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 2002.06287math.AP
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平均场学习模型中的行波

Traveling waves in a mean field learning model

George Papanicolaou, Lenya Ryzhik, Katerina Velcheva

摘要:

Lucas和Moll提出了一个前向-后向偏微分方程系统来模拟知识扩散和经济增长。它起源于一个微观模型的学习平均场类型的相互作用系统的个人代理。本文证明了该系统行波解的存在性。它们对应于经济学中所谓的平衡增长路径解决方案。我们还研究了各种经济参数的系统的解决方案和它们的传播速度的依赖性。

英文摘要:

Lucas and Moll have proposed a system of forward-backward partial differential equations that model knowledge diffusion and economic growth. It arises from a microscopic model of learning for a mean-field type interacting system of individual agents. In this paper, we prove existence of traveling wave solutions to this system. They correspond to what is known in economics as balanced growth path solutions. We also study the dependence of the solutions and their propagation speed on various economic parameters of the system.

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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