arXivDaily arXiv每日学术速递 周一至周五更新
北美退伍军人节(Veterans Day),12 日无更新
arXiv 2404.18482math.AP
收藏

提高线性逆散射问题的分辨率与不稳定性

Increasing resolution and instability for linear inverse scattering problems

Pu-Zhao Kow, Mikko Salo, Sen Zou

AI总结:

本研究探讨了固定大频率下线性逆散射问题的分辨率提升,证明随频率增加可稳定恢复的特征增多而其余特征存在强烈不稳定性,通过分析正向算子奇异值在稳定与不稳定区域的常数与指数衰减特性严格论证了该结论。

摘要:

在本研究中,我们探讨了在较大的固定频率下,线性逆散射问题分辨率的提升。我们考虑了恢复Herglotz波函数密度的问题,以及势的线性化逆散射问题。结果表明,能够稳定恢复的特征数量(稳定区域)随着频率的增加而变大,而对于其余特征(不稳定区域)则存在强烈的不稳定性。为了严格证明这一点,我们证明了正向算子的奇异值在稳定区域内大致保持常数,并在不稳定区域内呈指数衰减。这些论证基于问题的结构性质,并涉及奇异值的Courant极小极大原理、定量的Agmon-Hörmander估计,以及基于余面积公式的Schwartz核计算。

英文摘要:

In this work we study the increasing resolution of linear inverse scattering problems at a large fixed frequency. We consider the problem of recovering the density of a Herglotz wave function, and the linearized inverse scattering problem for a potential. It is shown that the number of features that can be stably recovered (stable region) becomes larger as the frequency increases, whereas one has strong instability for the rest of the features (unstable region). To show this rigorously, we prove that the singular values of the forward operator stay roughly constant in the stable region and decay exponentially in the unstable region. The arguments are based on structural properties of the problems and they involve the Courant min-max principle for singular values, quantitative Agmon-Hörmander estimates, and a Schwartz kernel computation based on the coarea formula.

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。

↑