arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 2006.10567math.APcs.NAmath.NA
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逆散射Steklov本征值的逼近与逆谱问题

Approximation of the inverse scattering Steklov eigenvalues and the inverse spectral problem

Isaac Harris

摘要:

本文研究了声逆散射中Steklov本征值问题的数值逼近。基本的散射问题是一个非均匀的各向同性介质。这些特征值已被提议用作目标特征,因为它们可以从散射数据中恢复。研究了一种以拉普拉斯算子的Neumann本征函数为基函数的Galerkin方法。利用外尔定律证明了特征值和特征函数的误差估计。我们将测试这种方法对分离变量,以验证理论收敛。我们还考虑了逆谱问题的估计/恢复的折射率的知识的Steklov特征值。由于特征值相对于实值折射率是单调的,这意味着它们可以用于无损检测。最后给出了一些数值算例。

英文摘要:

In this paper, we consider the numerical approximation of the Steklov eigenvalue problem that arises in inverse acoustic scattering. The underlying scattering problem is for an inhomogeneous isotropic medium. These eigenvalues have been proposed to be used as a target signature since they can be recovered from the scattering data. A Galerkin method is studied where the basis functions are the Neumann eigenfunctions of the Laplacian. Error estimates for the eigenvalues and eigenfunctions are proven by appealing to Weyl's Law. We will test this method against separation of variables in order to validate the theoretical convergence. We also consider the inverse spectral problem of estimating/recovering the refractive index from the knowledge of the Steklov eigenvalues. Since the eigenvalues are monotone with respect to a real-valued refractive index implies that they can be used for non-destructive testing. Some numerical examples are provided for the inverse spectral problem.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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