论文标题
从光谱中恢复Sturm-Liouville操作员的卷积扰动的均匀稳定性
Uniform full stability of recovering convolutional perturbation of the Sturm-Liouville operator from the spectrum
论文作者
论文摘要
储层计算是预测湍流的有力工具，其简单的架构具有处理大型系统的计算效率。然而，其实现通常需要完整的状态向量测量和系统非线性知识。我们使用非线性投影函数将系统测量扩展到高维空间，然后将其输入到储层中以获得预测。我们展示了这种储层计算网络在时空混沌系统上的应用，该系统模拟了湍流的若干特征。我们表明，使用径向基函数作为非线性投影器，即使只有部分观测并且不知道控制方程，也能稳健地捕捉复杂的系统非线性。最后，我们表明，当测量稀疏、不完整且带有噪声，甚至控制方程变得不准确时，我们的网络仍然可以产生相当准确的预测，从而为实际湍流系统的无模型预测铺平了道路。
The perturbation of the Sturm-Liouville operator on a finite interval with Dirichlet boundary conditions by a convolution operator is considered. Local stability and global unique solvability of the inverse problem of recovering the convolution kernel from the spectrum, provided that the potential is given a priori, is known. In the present work, we establish uniform full stability of this inverse problem involving a uniform estimate of deviations of the convolution kernel via deviations of the spectrum and the potential within balls of any fixed radii.
