39
Views
5
CrossRef citations to date
0
Altmetric
Original Articles

An inverse resistivity problem: 1. Lipschitz continuity of the gradient of the objective functional

Pages 749-765 | Received 10 Feb 2009, Accepted 04 Apr 2009, Published online: 22 Jul 2009
 

Abstract

A mathematical model of vertical electrical sounding over a medium with continuously changing conductivity σ(z) is studied by using a resistivity method. The considered model leads to an inverse problem of identification of the unknown leading coefficient σ(z) of the elliptic equation in the layer Ω = {(r, z) ∈ R 2 : 0 ≤ r < ∞, 0 < z < H}. The measured data is assumed to be given on the upper boundary of the layer, in the form of the tangential derivative. The proposed approach is based on transformation of the inverse problem, by introducing the reflection function p(z)=(ln σ(z))′ and then using the Bessel–Fourier transformation with respect to the variable r ≥ 0. As a result the inverse problem is formulated in terms of the transformed potential V(λ, z) and the reflection function p(z). It is proved that the transformed cost functional is Fréchet differentiable with respect to the function p(z). Moreover, an explicit formula for the Fréchet gradient of the cost functional is derived. Then Lipschitz continuity of this gradient is proved in class of reflection functions p(z) with Hölder class of derivative p′(z).

AMS Subject Classifications:

Acknowledgement

The author gratefully thanks Prof. A. Hasanoglu (Hasanov) for the formulation of the problem and valuable suggestions.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 1,361.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.