A Hamilton-Jacobi approach to neural field equations

被引:0
|
作者
Tao, Wen [1 ]
Li, Wan-Tong [1 ]
Sun, Jian-Wen [1 ]
机构
[1] Lanzhou Univ, Sch Math & Stat, Lanzhou 730000, Gansu, Peoples R China
关键词
Neural field equations; Interface dynamics; Hamilton-Jacobi equation; Viscosity solution; Traveling waves; REACTION-DIFFUSION EQUATIONS; FISHER-KPP EQUATION; TRAVELING-WAVES; FRONT PROPAGATION; GEOMETRIC OPTICS; LARGE DEVIATIONS; SINGULAR LIMITS; DYNAMICS; MODEL; PATTERNS;
D O I
10.1016/j.jde.2025.01.065
中图分类号
O1 [数学];
学科分类号
0701 ; 070101 ;
摘要
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 HamiltonJacobi 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. (c) 2025 Elsevier Inc. All rights are reserved, including those for text and data mining, AI training, and similar technologies.
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页码:659 / 695
页数:37
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