The flocking behavior of the infinite-particle Cucker-Smale model
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
标识
DOI:10.1090/proc/15848
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.