Reconstructing a potential perturbation of the biharmonic operator on transversally anisotropic manifolds

IF 1.2 4区 数学 Q2 MATHEMATICS, APPLIED
Lili Yan
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引用次数: 1

Abstract

We prove that a continuous potential \begin{document}$ q $\end{document} can be constructively determined from the knowledge of the Dirichlet–to–Neumann map for the perturbed biharmonic operator \begin{document}$ \Delta_g^2+q $\end{document} on a conformally transversally anisotropic Riemannian manifold of dimension \begin{document}$ \ge 3 $\end{document} with boundary, assuming that the geodesic ray transform on the transversal manifold is constructively invertible. This is a constructive counterpart of the uniqueness result of [56]. In particular, our result is applicable and new in the case of smooth bounded domains in the \begin{document}$ 3 $\end{document}–dimensional Euclidean space as well as in the case of \begin{document}$ 3 $\end{document}–dimensional admissible manifolds.

在横向各向异性流形上重构双调和算子的势扰动
We prove that a continuous potential \begin{document}$ q $\end{document} can be constructively determined from the knowledge of the Dirichlet–to–Neumann map for the perturbed biharmonic operator \begin{document}$ \Delta_g^2+q $\end{document} on a conformally transversally anisotropic Riemannian manifold of dimension \begin{document}$ \ge 3 $\end{document} with boundary, assuming that the geodesic ray transform on the transversal manifold is constructively invertible. This is a constructive counterpart of the uniqueness result of [56]. In particular, our result is applicable and new in the case of smooth bounded domains in the \begin{document}$ 3 $\end{document}–dimensional Euclidean space as well as in the case of \begin{document}$ 3 $\end{document}–dimensional admissible manifolds.
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来源期刊
Inverse Problems and Imaging
Inverse Problems and Imaging 数学-物理:数学物理
CiteScore
2.50
自引率
0.00%
发文量
55
审稿时长
>12 weeks
期刊介绍: Inverse Problems and Imaging publishes research articles of the highest quality that employ innovative mathematical and modeling techniques to study inverse and imaging problems arising in engineering and other sciences. Every published paper has a strong mathematical orientation employing methods from such areas as control theory, discrete mathematics, differential geometry, harmonic analysis, functional analysis, integral geometry, mathematical physics, numerical analysis, optimization, partial differential equations, and stochastic and statistical methods. The field of applications includes medical and other imaging, nondestructive testing, geophysical prospection and remote sensing as well as image analysis and image processing. This journal is committed to recording important new results in its field and will maintain the highest standards of innovation and quality. To be published in this journal, a paper must be correct, novel, nontrivial and of interest to a substantial number of researchers and readers.
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