A Hamilton-Jacobi approach to neural field equations

IF 2.4 2区 数学 Q1 MATHEMATICS
Wen Tao, Wan-Tong Li, Jian-Wen Sun
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引用次数: 0

Abstract

This paper explores the long time/large space dynamics of the neural field equation with an exponentially decaying initial data. By establishing a Harnack type inequality, we derive the Hamilton-Jacobi equation corresponding to the neural field equation due to the elegant theory developed by Freidlin [Ann. Probab. (1985)], Evans and Souganidis [Indiana Univ. Math. J. (1989)]. In addition, we obtain the exact formula for the motion of the interface by constructing the explicit viscosity solutions for the underlying Hamilton-Jacobi equation. It is then shown that the propagation speed of the interface is determined by the decay rate of the initial value. As an intriguing implication, we find that the propagation speed of interface is related to the speed of traveling waves. Finally, we study the spreading speed of the corresponding Cauchy problem. To the best of our knowledge, it is the first time that the Hamilton-Jacobi approach is used in the study of dynamics of neural field equations.
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来源期刊
CiteScore
4.40
自引率
8.30%
发文量
543
审稿时长
9 months
期刊介绍: The Journal of Differential Equations is concerned with the theory and the application of differential equations. The articles published are addressed not only to mathematicians but also to those engineers, physicists, and other scientists for whom differential equations are valuable research tools. Research Areas Include: • Mathematical control theory • Ordinary differential equations • Partial differential equations • Stochastic differential equations • Topological dynamics • Related topics
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