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arXiv 2408.08040math.APeess.SP
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非线性包含的逆障碍问题

The inverse obstacle problem for nonlinear inclusions

Vincenzo Mottola, Antonio Corbo Esposito, Luisa Faella, Gianpaolo Piscitelli, Ravi Prakash, Antonello Tamburrino

AI总结:

针对非线性异常体逆障碍问题缺乏定量物理成像方法的现状,本文基于单调性原理开展理论研究,证明了相关成像方法的噪声稳定性、重构收敛性及极限性质,结果适用于多类非线性情况,为该方法的实际应用提供理论支撑。

摘要:

单调性原理(Monotonicity Principle,简称MP)阐述了材料属性与相应恰当边界算子之间的单调关系,因其在开发实时成像方法中的基础性作用,在逆问题领域引发了广泛关注。此外,在相当普遍的假设下,带非线性系数的椭圆型偏微分方程(PDE)的单调性原理已被建立。该原理为引入一种新的成像方法奠定了基础,以处理存在非线性异常体时的逆障碍问题。这是一项重要的创新,因为当存在非线性时,普遍缺乏定量的、基于物理的成像方法。基于单调性原理的成像方法的引入,带来了一系列关于该方法在噪声存在下性能的基本问题。本工作的主要贡献聚焦于理论层面,包括证明:(i) 该成像方法对噪声具有稳定性和鲁棒性;(ii) 当噪声水平趋近于零时,重构结果单调趋近于一个明确定义的极限;(iii) 该极限包含未知集合,且包含于未知集合的外边界内。结果(i)和(ii)直接由单调性原理得出,而结果(iii)需要证明所谓的单调性原理逆命题,这是评估该成像方法理想(无噪声)性能的具有根本重要性的理论结果。这些结果是在Calderòn问题的相当普遍的框架下给出的,并针对三大类情况进行了证明,其中异常体的非线性可以是上下有界(远离无穷和零)、仅下有界(仅远离零)或仅上有界(仅被无穷界定)。这些本构关系类别涵盖了应用中遇到的绝大多数情况。

英文摘要:

The Monotonocity Principle (MP), stating a monotonic relationship between a material property and a proper corresponding boundary operator, is attracting great interest in the field of inverse problems, because of its fundamental role in developing real time imaging methods. Moreover, under quite general assumptions, a MP for elliptic PDEs with nonlinear coefficients has been established. This MP provided the basis for introducing a new imaging method to deal with the inverse obstacle problem, in the presence of nonlinear anomalies. This constitutes a relevant novelty because there is a general lack of quantitative and physic based imaging method, when nonlinearities are present. The introduction of a MP based imaging method poses a set of fundamental questions regarding the performance of the method in the presence of noise. The main contribution of this work is focused on theoretical aspects and consists in proving that (i) the imaging method is stable and robust with respect to the noise, (ii) the reconstruction approaches monotonically to a well-defined limit, as the noise level approaches to zero, and that (iii) the limit contains the unknown set and is contained in the outer boundary of the unknown set. Results (i) and (ii) come directly from the Monotonicity Principle, while results (iii) requires to prove the so-called Converse of the Monotonicity Principle, a theoretical sults of fundamental relevance to evaluate the ideal (noise-free) performances of the imaging method. The results are provided in a quite general setting for Calderòn problem, and proved for three wide classes where the nonlinearity of the anomaly can be either bounded from infinity and zero, or bounded from zero only, or bounded by infinity only. These classes of constitutive relationships cover the wide majority of cases encountered in applications.

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