Exponential instability in the fractional Calderón problem

Abstract
In this paper we prove the exponential instability of the fractional Calderón problem and thus prove the optimality of the logarithmic stability estimate from Rüland and Salo (2017 arXiv:1708.06294). In order to infer this result, we follow the strategy introduced by Mandache in (2001 Inverse Problems 17 1435) for the standard Calderón problem. Here we exploit a close relation between the fractional Calderón problem and the classical Poisson operator. Moreover, using the construction of a suitable orthonormal basis, we also prove (almost) optimality of the Runge approximation result for the fractional Laplacian, which was derived in Rüland and Salo (2017 arXiv:1708.06294). Finally, in one dimension, we show a close relation between the fractional Calderón problem and the truncated Hilbert transform.
Main Authors
Format
Articles Research article
Published
2018
Series
Subjects
Publication in research information system
Publisher
Institute of Physics
The permanent address of the publication
https://urn.fi/URN:NBN:fi:jyu-201802211557Use this for linking
Review status
Peer reviewed
ISSN
0266-5611
DOI
https://doi.org/10.1088/1361-6420/aaac5a
Language
English
Published in
Inverse Problems
Citation
License
Open Access
Funder(s)
Academy of Finland
European Commission
Academy of Finland
Funding program(s)
Huippuyksikkörahoitus, SA
EU:n 7. puiteohjelma (FP7)
Akatemiahanke, SA
Centre of Excellence, AoF
FP7 (EU's 7th Framework Programme)
Academy Project, AoF
Academy of FinlandEuropean Commission
Funded by the European Union. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or the European Education and Culture Executive Agency (EACEA). Neither the European Union nor EACEA can be held responsible for them.
Additional information about funding
MS is supported by the Academy of Finland (Finnish Centre of Excellence in Inverse Problems Research, grant numbers 284715 and 309963) and an ERC Starting Grant (grant number 307023).
Copyright© the Authors, 2018. This is an open access article distributed under the terms of the Creative Commons License.

Share