2007
DOI: 10.1007/s00220-006-0151-9
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Determining a Magnetic Schrödinger Operator from Partial Cauchy Data

Abstract: Abstract. In this paper we show, in dimension n ≥ 3, that knowledge of the Cauchy data for the Schrödinger equation in the presence of a magnetic potential, measured on possibly very small subsets of the boundary, determines uniquely the magnetic field and the electric potential. We follow the general strategy of [7] using a richer set of solutions to the Dirichlet problem that has been used in previous works on this problem.

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Cited by 136 publications
(225 citation statements)
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“…The method of the proof uses Carleman estimates with nonlinear weights. The case of the magnetic Schrödinger equation was considered in [11] and an improvement on the regularity of the coefficients is done in [21]. Stability estimates for the magnetic Schrödinger equation with partial data were proven in [30].…”
Section: Introductionmentioning
confidence: 99%
“…The method of the proof uses Carleman estimates with nonlinear weights. The case of the magnetic Schrödinger equation was considered in [11] and an improvement on the regularity of the coefficients is done in [21]. Stability estimates for the magnetic Schrödinger equation with partial data were proven in [30].…”
Section: Introductionmentioning
confidence: 99%
“…All these results are nonconstructive. We also mention the recent papers [2], [6] and [28] which consider boundary determination, partial Cauchy data and stability for this inverse problem. In this paper we give a constructive algorithm for recovering curl W and q from Λ W,q .…”
Section: Introductionmentioning
confidence: 99%
“…Other applications involve the proof of Helgason's support theorem on the Radon transform and extensions (see [4] and [11]) of this result. Theorem 1.3 has also proved to be a useful tool in the resolution of inverse problems (see [16] and [9]) with partial data. In fact the microlocal version of Holmgren's uniqueness theorem is a consequence 1 of a more general result on the analytic wave front set due to Kashiwara (see [15], [23] chapter 8, Theorem 8.3, [10] chapter 9, Theorem 9.6.6) Watermelon Theorem.…”
mentioning
confidence: 99%