Rigidity for Fixed Angle Inverse Scattering for Riemannian Metrics

The fixed angle inverse scattering problem for a velocity consists in determining a sound speed, or a Riemannian metric up to diffeomorphism, from measurements obtained by probing the medium with a single plane wave. This is a formally determined inverse problem that is open in general. In this article we consider the rigidity question of distinguishing a sound speed or a Riemannian metric from the Euclidean metric. We prove that a general smooth metric that is Euclidean outside a ball can be distinguished from the Euclidean metric. The methods involve distorted plane waves and a combination of geometric, topological and unique continuation arguments.

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Publication Details

Journal
SIAM Journal on Mathematical Analysis
Published
2026-01-13
DOI
https://doi.org/10.1137/24m1702623
Primary Topic
Numerical methods in inverse problems
Type
article
Field-Weighted Citation Impact
0.00
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article

Rigidity for Fixed Angle Inverse Scattering for Riemannian Metrics

Lauri Oksanen, Mikko Salo, Rakesh
SIAM Journal on Mathematical Analysis
Numerical methods in inverse problems
article

Rigidity for Fixed Angle Inverse Scattering for Riemannian Metrics

Lauri Oksanen, Mikko Salo, Rakesh
article en

Abstract

The fixed angle inverse scattering problem for a velocity consists in determining a sound speed, or a Riemannian metric up to diffeomorphism, from measurements obtained by probing the medium with a single plane wave. This is a formally determined inverse problem that is open in general. In this article we consider the rigidity question of distinguishing a sound speed or a Riemannian metric from the Euclidean metric. We prove that a general smooth metric that is Euclidean outside a ball can be distinguished from the Euclidean metric. The methods involve distorted plane waves and a combination of geometric, topological and unique continuation arguments.

SIAM Journal on Mathematical AnalysisVol. 58(1)
Statistics Finland (FI), University of Helsinki (FI), University of Delaware (US), University of Jyväskylä (FI)
Openalex Percentile: Top 86%
Numerical methods in inverse problems
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