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Uniqueness and stability of traveling waves for cellular neural networks with multiple delays

机译:具有多个时滞的细胞神经网络行波的唯一性和稳定性

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In this paper, we investigate the properties of traveling waves to a class of lattice differential equations for cellular neural networks with multiple delays. Following the previous study 1381 on the existence of the traveling waves, here we focus on the uniqueness and the stability of these traveling waves. First of all, by establishing the a priori asymptotic behavior of traveling waves and applying Ikehara's theorem, we prove the uniqueness (up to translation) of traveling waves phi(n - ct) with c <= c* for the cellular neural networks with multiple delays, where c* < 0 is the critical wave speed. Then, by the weighted energy method together with the squeezing technique, we further show the global stability of all non -critical traveling waves for this model, that is, for all monotone waves with the speed c <= c*, the original lattice solutions converge time -exponentially to the corresponding traveling waves, when the initial perturbations around the monotone traveling waves decay exponentially at far fields, but can be arbitrarily large in other locations. (C) 2015 Elsevier Inc. All rights reserved.
机译:在本文中,我们研究了行波对具有多个时滞的细胞神经网络的一类晶格微分方程的性质。继先前关于行波存在的研究1381之后,我们在这里集中讨论这些行波的唯一性和稳定性。首先,通过建立行波的先验渐近行为并应用Ikehara定理,我们证明了行波phi(n-ct)的唯一性(直至平移),其中c <= c *对于具有多个单元的神经网络延迟,其中c * <0是临界波速。然后,通过加权能量方法和压缩技术,我们进一步显示了该模型中所有非临界行波的全局稳定性,即对于速度c <= c *的所有单调波,原始晶格解当单调行波周围的初始扰动在远场处呈指数衰减时,时间会以指数形式收敛到相应的行波,但在其他位置可能会很大。 (C)2015 Elsevier Inc.保留所有权利。

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