Inverse anisotropic conductivity from power densities in dimension n≥3n\ge 3

preprint2012arXivOpen access

Abstract

We investigate the problem of reconstructing a fully anisotropic conductivity tensor γγ from internal functionals of the form ∇u⋅γ∇u\nabla u\cdotγ\nabla u where uu solves ∇⋅(γ∇u)=0\nabla\cdot(γ\nabla u) = 0 over a given bounded domain XX with prescribed Dirichlet boundary condition. This work motivated by hybrid medical imaging methods covers the case n≥3n\ge 3, following the previously published case n=2n=2 \cite{Monard2011}. Under knowledge of enough such functionals, and writing γ=τγ~γ= τ\tilde γ (det⁡γ~=1\det \tildeγ= 1) with ττ a positive scalar function, we show that all of γγ can be explicitely and locally reconstructed, with no loss of scales for ττ and loss of one derivative for the anisotropic structure γ~\tildeγ. The reconstruction algorithms presented require rank maximality conditions that must be satisfied by the functionals or their corresponding solutions, and we discuss different possible ways of ensuring these conditions for $\C^{1,α}$-smooth tensors (0<α<10<α<1).

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