Fixed angle inverse scattering in the presence of a Riemannian metric
Ma, S., & Salo, M. (2022). Fixed angle inverse scattering in the presence of a Riemannian metric. Journal of Inverse and Ill-posed Problems, 30(4), 495-520. https://doi.org/10.1515/jiip-2020-0119
Published in
Journal of Inverse and Ill-posed ProblemsDate
2022Discipline
MatematiikkaInversio-ongelmien huippuyksikköMathematicsCentre of Excellence in Inverse ProblemsCopyright
© Walter de Gruyter GmbH, 2021
We consider a fixed angle inverse scattering problem in the presence of a known Riemannian metric. First, assuming a no caustics condition, we study the direct problem by utilizing the progressing wave expansion. Under a symmetry assumption on the metric, we obtain uniqueness and stability results in the inverse scattering problem for a potential with data generated by two incident waves from opposite directions. Further, similar results are given using one measurement provided the potential also satisfies a symmetry assumption. This work extends the results of [Rakesh and M. Salo, Fixed angle inverse scattering for almost symmetric or controlled perturbations, SIAM J. Math. Anal. 52 2020, 6, 5467–5499] and [Rakesh and M. Salo, The fixed angle scattering problem and wave equation inverse problems with two measurements, Inverse Problems 36 2020, 3, Article ID 035005] from the Euclidean case to certain Riemannian metrics.
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Walter de Gruyter GmbHISSN Search the Publication Forum
0928-0219Keywords
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https://converis.jyu.fi/converis/portal/detail/Publication/98890166
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Related funder(s)
European Commission; Research Council of FinlandFunding program(s)
ERC Consolidator Grant; Centre of Excellence, AoF; Academy Project, AoF
The content of the publication reflects only the author’s view. The funder is not responsible for any use that may be made of the information it contains.
Additional information about funding
Both authors were supported by the Academy of Finland (Finnish Centre of Excellence in Inverse Modelling and Imaging, grants 284715 and 309963). M.S. was also supported by ERC under Horizon 2020 (ERC CoG 770924).License
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