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Angkana Rüland

Researcher at Max Planck Society

Publications -  82
Citations -  1361

Angkana Rüland is an academic researcher from Max Planck Society. The author has contributed to research in topics: Uniqueness & Inverse problem. The author has an hindex of 20, co-authored 79 publications receiving 1016 citations. Previous affiliations of Angkana Rüland include University of Oxford & Heidelberg University.

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On Single Measurement Stability for the Fractional Calder\'on Problem.

TL;DR: In this paper, the authors proved the logarithmic stability of the single measurement uniqueness result for the fractional Calder\'on problem, which had been derived in GRSU18, using the quantitative uniqueness results established in RRS20a and complementing these bounds with a boundary doubling estimate.
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Quantitative Invertibility and Approximation for the Truncated Hilbert and Riesz Transforms

TL;DR: In this article, the uniqueness and approximation properties for Riesz transforms are derived from a PDE point of view and realized as harmonic extensions, which makes the problem accessible to PDE tools.
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Higher Sobolev Regularity of Convex Integration Solutions in Elasticity: The Planar Geometrically Linearized Hexagonal-to-Rhombic Phase Transformation

TL;DR: For a two-dimensional, geometrically linearized model case, the hexagonal-to-rhombic phase transformation, the authors proved the existence of convex integration solutions with higher Sobolev regularity.
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The Variable Coefficient Thin Obstacle Problem: Higher Regularity

TL;DR: In this article, the authors used a partial Hodograph-legendre transform and the implicit function theorem to prove the higher order Holder regularity for the regular free boundary, if the associated coefficients are of the corresponding regularity.
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On the Fractional Landis Conjecture

TL;DR: In this article, a Landis-type conjecture for fractional Schrodinger equations of fractional power with potentials was studied and a quantitative estimate mimicking the classical result by Bourgain and Kenig was derived.