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Probabilistic estimates of the maximum norm of random Neumann Fourier series

机译:随机Neumann傅立叶级数的最大范数的概率估计

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We study the maximum norm behavior of L-2-normalized random Fourier cosine series with a prescribed large wave number. Precise bounds of this type are an important technical tool in estimates for spinodal decomposition, the celebrated phase separation phenomenon in metal alloys. We derive rigorous asymptotic results as the wave number converges to infinity, and shed light on the behavior of the maximum norm for medium range wave numbers through numerical simulations. Finally, we develop a simplified model for describing the magnitude of extremal values of random Neumann Fourier series. The model describes key features of the development of maxima and can be used to predict them. This is achieved by decoupling magnitude and sign distribution, where the latter plays an important role for the study of the size of the maximum norm. Since we are considering series with Neumann boundary conditions, particular care has to be placed on understanding the behavior of the random sums at the boundary. (c) 2016 Elsevier B.V. All rights reserved.
机译:我们研究具有规定大波数的L-2归一化随机傅里叶余弦序列的最大范式行为。这种类型的精确边界是估算旋节线分解(金属合金中著名的相分离现象)的重要技术工具。当波数收敛到无穷大时,我们得出了严格的渐近结果,并通过数值模拟阐明了中程波数的最大范数的行为。最后,我们开发了一个简化的模型来描述随机诺依曼傅里叶级数极值的大小。该模型描述了最大值发展的关键特征,可以用来预测它们。这可以通过将量级和符号分布去耦来实现,其中后者对于研究最大范数的大小起着重要作用。由于我们正在考虑使用Neumann边界条件进行级数运算,因此必须特别注意了解边界上随机和的行为。 (c)2016 Elsevier B.V.保留所有权利。

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