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Abstract
This work tackles an inverse boundary value problem for a p-Laplace type partial differential equation parametrized by a smoothening parameter T ≥ 0. The aim is to numerically test reconstructing a conductivity type coefficient in the equation when Dirichlet boundary values of certain solutions to the corresponding Neumann problem serve as data. The numerical studies are based on a straightforward linearization of the forward map, and they demonstrate that the accuracy of such an approach depends nontrivially on 1 < p < ∞ and the chosen parametrization for the unknown coefficient. The numerical considerations are complemented by proving that the forward operator, which maps a Hölder continuous conductivity coefficient to the solution of the Neumann problem, is Fréchet differentiable, excluding the degenerate case T = 0 that corresponds to the classical (weighted) -Laplace equation.
| Original language | English |
|---|---|
| Article number | 034001 |
| Journal | Inverse Problems |
| Volume | 35 |
| Issue number | 3 |
| DOIs | |
| Publication status | Published - 28 Jan 2019 |
| MoE publication type | A1 Journal article-refereed |
Keywords
- Bayesian inversion
- inverse boundary value problem
- linearization
- p-Laplacian
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Dive into the research topics of 'An inverse boundary value problem for the p-Laplacian: A linearization approach'. Together they form a unique fingerprint.Projects
- 2 Finished
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Centre of Excellence of Inverse Modelling and Imaging
Hyvönen, N. (Principal investigator), Puska, J.-P. (Project Member), Kuutela, T. (Project Member), Hirvi, P. (Project Member), Ojalammi, A. (Project Member) & Perkkiö, L. (Project Member)
01/01/2018 → 31/12/2020
Project: Academy of Finland: Other research funding
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Centre of Excellence of Inverse Modelling and Imaging
Hannukainen, A. (Principal investigator), Puska, J.-P. (Project Member), Kuutela, T. (Project Member), Ojalammi, A. (Project Member), Kuortti, J. (Project Member) & Perkkiö, L. (Project Member)
01/01/2018 → 31/12/2020
Project: Academy of Finland: Other research funding
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