English

Duality between range and no-response tests and its application for inverse problems

Analysis of PDEs 2020-04-21 v1

Abstract

In this paper we will show the duality between the range test (RT) and no-response test (NRT) for the inverse boundary value problem for the Laplace equation in ΩD\Omega\setminus\overline D with an obstacle DΩD\Subset\Omega whose boundary D\partial D is visible from the boundary Ω\partial\Omega of Ω\Omega and a measurement is given as a set of Cauchy data on Ω\partial\Omega. Here the Cauchy data is given by a unique solution uu of the boundary value problem for the Laplace equation in ΩD\Omega\setminus\overline D with homogeneous and inhomogeneous Dirichlet boundary condition on D\partial D and Ω\partial\Omega, respectively. These testing methods are domain sampling method to estimate the location of the obstacle using test domains and the associated indicator functions. Also both of these testing methods can test the analytic extension of uu to the exterior of a test domain. Since these methods are defined via some operators which are dual to each other, we could expect that there is a duality between the two methods. We will give this duality in terms of the equivalence of the pre-indicator functions associated to their indicator functions. As an application of the duality, the reconstruction of DD using the RT gives the reconstruction of DD using the NRT and vice versa. We will also give each of these reconstructions without using the duality if the Dirichlet data of the Cauchy data on Ω\partial\Omega is not identically zero and the solution to the associated forward problem does not have any analytic extension across D\partial D. Moreover, we will show that these methods can still give the reconstruction of DD if DD is a convex polygon and it satisfies one of the following two properties: all of its corner angles are irrational and its diameter is less than its distance to Ω\partial\Omega.

Cite

@article{arxiv.2004.09308,
  title  = {Duality between range and no-response tests and its application for inverse problems},
  author = {Yi-Hsuan Lin and Gen Nakamura and Roland Potthast and Haibing Wang},
  journal= {arXiv preprint arXiv:2004.09308},
  year   = {2020}
}
R2 v1 2026-06-23T14:58:03.860Z