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arXiv 2012.04435math.APmath.DG
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Gel'fand反边界问题的定量稳定性

Quantitative stability of Gel'fand's inverse boundary problem

Dmitri Burago, Sergei Ivanov, Matti Lassas, Jinpeng Lu

AI总结:

本文研究Gel'fand反边界问题,证明在有界几何流形类中,有限个含小误差的特征值及特征函数边界值可确定接近原流形的度量空间,并给出构造算法,基于波动算子唯一连续性的显式稳定性估计。

摘要:

在Gel'fand反问题中,目标是通过已知边界∂M、Neumann特征值λ_j以及特征函数在边界上的值φ_j|_{∂M},来确定带边紧流形M的拓扑、微分结构与Riemannian度量。我们证明该问题在有界几何流形类中具有稳定解及定量稳定性估计。更确切地说,有限个特征值及对应特征函数的边界值(已知至小误差范围内)能够确定一个在Gromov-Hausdorff意义下接近该流形的度量空间。我们提供了构造该度量空间的算法。该结果基于对波动算子唯一连续性稳定性的显式估计。

英文摘要:

In Gel'fand's inverse problem, one aims to determine the topology, differential structure and Riemannian metric of a compact manifold $M$ with boundary from the knowledge of the boundary $\partial M,$ the Neumann eigenvalues $λ_j$ and the boundary values of the eigenfunctions $φ_j|_{\partial M}$. We show that this problem has a stable solution with quantitative stability estimates in a class of manifolds with bounded geometry. More precisely, we show that finitely many eigenvalues and the boundary values of corresponding eigenfunctions, known up to small errors, determine a metric space that is close to the manifold in the Gromov-Hausdorff sense. We provide an algorithm to construct this metric space. This result is based on an explicit estimate on the stability of the unique continuation for the wave operator.

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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