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arXiv 2201.02281math.DSnlin.AO
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离散 Cucker-Smale 对齐模型的长时间与大群体动力学

Long time and large crowd dynamics of discrete Cucker-Smale alignment models

Eitan Tadmor

AI总结:

本文综述并拓展离散 Cucker-Smale 对齐模型研究,分析时变质量、重尾通信核、非对称通信下的长时间聚群行为及大群体流体动力学极限。

摘要:

我们对分析 Cucker-Smale 对齐动力学的长时间、大群体行为的相关进展作了鸟瞰式综述。我们考虑一类(完全)离散模型,特别关注一般的对齐协议:在这些协议中,智能体可能具有随时间变化的质量,并由一大类重尾通信核驱动。随时间变化的质量尤其允许非对称通信。在重新审视文献中已有结果的同时,我们还从多个方面揭示了由能量涨落衰减和重尾连通性所驱动的长时间聚群/蜂拥行为。我们还以 Euler 对齐模型的流体动力学描述来讨论大群体动力学。

英文摘要:

We provide a bird's eye view on developments in analyzing the long time, large crowd behavior of Cucker-Smale alignment dynamics. We consider a class of (fully-)discrete models, paying particular attention to general alignment protocols in which agents, with possibly time-dependent masses, are driven by a large class of heavy-tailed communication kernels. The presence of time-dependent masses allows, in particular, non-symmetric communication. While revisiting known results in the literature, we also shed new light of various aspects on the long time flocking/swarming behavior, driven by the decay of energy fluctuations and heavy-tailed connectivity. We also discuss the large crowd dynamics in terms of the hydrodynamic description of Euler alignment models.

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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