An inverse boundary value problem for the $p$-Laplacian
For researchers in inverse problems, this provides a numerical feasibility study and theoretical differentiability result for a p-Laplacian inverse problem, though the approach is preliminary and incremental.
This work numerically tests reconstructing a conductivity coefficient in a p-Laplace type PDE using Dirichlet boundary values of Neumann solutions, finding that reconstruction accuracy depends on p and coefficient parametrization. The forward operator is shown to be Fréchet differentiable for τ>0.
This work tackles an inverse boundary value problem for a $p$-Laplace type partial differential equation parametrized by a smoothening parameter $τ\geq 0$. 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 $1 < p < \infty$ 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 $τ=0$ that corresponds to the classical (weighted) $p$-Laplace equation.