算法
独特性
人工智能
计算机科学
机器学习
数学
数学分析
作者
Xinyu Wang,Xiaoping Xue
出处
期刊:Proceedings of the American Mathematical Society
[American Mathematical Society]
日期:2022-02-07
被引量:3
摘要
In this article, we study the flocking behavior of the solutions to the infinite-particle Cucker-Smale model. We first establish the existence and uniqueness of the solutions to the infinite-particle Cucker-Smale model. And then build the boundedness of velocity by showing the non-increase of the l ∞ l_\infty -norm of v ( t ) v(t) through classifying the particles according to the norm of velocity. Finally, we obtain the flocking behavior of the infinite-particle Cucker-Smale model. More precisely, the solutions to the infinite-particle Cucker-Smale model will concentrate exponentially fast in velocity to the average of the initial velocity, while in space the position differences between particles will be uniformly bounded.
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