Adrian Nachman

  1. A convergent algorithm for the hybrid problem of reconstructing conductivity from minimal interior data.

    Authors: Adrian Nachman, Amir Moradifam, Alexandre Timonov
    Subjects: Analysis of PDEs
    Abstract

    We consider the hybrid problem of reconstructing the isotropic electric
    conductivity of a body $\Omega$ from interior Current Density Imaging data
    obtainable using MRI measurements. We only require knowledge of the magnitude
    $|J|$ of one current generated by a given voltage $f$ on the boundary
    $\partial\Omega$. As previously shown, the corresponding voltage potential u in
    $\Omega$ is a minimizer of the weighted least gradient problem

  2. Conductivity imaging from one interior measurement in the presence of perfectly conducting and insulating inclusions.

    Authors: Adrian Nachman, Amir Moradifam, Alexandru Tamasan
    Subjects: Analysis of PDEs
    Abstract

    We consider the problem of recovering an isotropic conductivity outside some
    perfectly conducting or insulating inclusions from the interior measurement of
    the magnitude of one current density field $|J|$. We prove that the
    conductivity outside the inclusions, and the shape and position of the
    perfectly conducting and insulating inclusions are uniquely determined (except
    in an exceptional case) by the magnitude of the current generated by imposing a
    given boundary voltage.

  3. Convergence of the alternating split Bregman algorithm in infinite-dimensional Hilbert spaces.

    Authors: Adrian Nachman, Amir Moradifam
    Subjects: Functional Analysis
    Abstract

    We prove results on weak convergence for the alternating split Bregman
    algorithm in infinite dimensional Hilbert spaces. We also show convergence of
    an approximate split Bregman algorithm, where errors are allowed at each step
    of the computation. To be able to treat the infinite dimensional case, our
    proofs focus mostly on the dual problem. We rely on Svaiter's theorem on weak
    convergence of the Douglas-Rachford splitting algorithm and on the relation
    between the alternating split Bregman and Douglas-Rachford splitting algorithms
    discovered by Setzer.

  4. Reconstruction in the Calderon Problem with Partial Data.

    Authors: Adrian Nachman, Brian Street
    Subjects: Analysis of PDEs
    Abstract

    We consider the problem of recovering the coefficient \sigma(x) of the
    elliptic equation \grad \cdot(\sigma \grad u)=0 in a body from measurements of
    the Cauchy data on possibly very small subsets of its surface. We give a
    constructive proof of a uniqueness result by Kenig, Sj\"ostrand, and Uhlmann.
    We construct a uniquely specified family of solutions such that their traces on
    the boundary can be calculated by solving an integral equation which involves
    only the given partial Cauchy data.

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