Geodesic ray transforms and the transport equation

Lead Research Organisation: University of Cambridge
Department Name: Pure Maths and Mathematical Statistics

Abstract

A basic problem in geophysics is to reconstruct the interior structure of the Earth from measurements carried out at the surface. A basic problem in medicine is to obtain structural information about tumours inside the body without invasive surgery. Both are examples of inverse problems in three dimensions. Over the last five years, many-decade old problems concerning inverse problems in two dimensions have been resolved by the PI and his collaborators. This proposal addresses the key remaining questions, with a view of making progress in the higher dimensional setting which are central to potential applications and which formed the original motivation for this branch of Analysis.

The linearization of many of these important inverse problems takes naturally to the geodesic ray transform where one integrates a function or a tensor field along geodesics of a Riemannian metric.
The standard X-ray transform, where one integrates a function along straight lines, corresponds to the case of the Euclidean metric and is the basis of medical imaging techniques such as CT and PET. The case of integration along more general geodesics arises in geophysical imaging in determining the inner structure of the Earth since the speed of elastic waves generally increases with depth, thus curving the rays back to the Earth's surface. It also arises in ultrasound imaging, where the Riemannian metric models the anisotropic index of refraction. In tensor tomography problems one would like to determine a symmetric tensor field up to natural obstruction from its integrals over geodesics.

The proposal aims to get further insight into the injectivity property of the geodesic ray transform acting on symmetric tensors by relating it to the existence of special solutions to the transport equation. This relationship has been crucial for recent successes in solving geometric inverse problems in two dimensions.

Planned Impact

The direct beneficiaries of this research will be mathematicians working in geometric inverse problems, including those interested in geodesic ray transforms, the boundary rigidity problem, the Calderon problem and transport equations. Potential secondary beneficiaries include pure and applied mathematicians in the UK and abroad interested in inverse problems and imaging.

Mathematicians working in geodesic ray transforms will benefit from the conceptual perspective that this project will bring, in particular clarifying the precise relationship between injectivity of the geodesic ray transform and existence of solutions to the transport equation. Differential geometers will benefit from the research on conformal Killing tensors that is implicitly involved.
Mathematicians working on Dynamical Systems could also benefit from an enhanced understanding of the transport equation (known in this community as the cohomological equation).

The proposed project will help maintain the UK excellence in the area of Inverse Problems. It also builds connections with other areas, most notably Differential Geometry and Dynamical Systems.
The project fits perfectly with the strategic objective of Cambridge Mathematics of developing Analysis and its interactions, which includes a Doctoral Training Centre in Analysis funded by EPSRC.
Finally, attracting to the UK talents like the proposed RA seems essential to continue the development of the area.

Publications

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Kurylev Yaroslav (2015) Inverse problems for the connection Laplacian in arXiv e-prints

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Mettler T (2018) Holomorphic differentials, thermostats and Anosov flows in Mathematische Annalen

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Monard F (2017) The Geodesic X-ray Transform with a $$GL(n,\mathbb {C})$$-Connection in The Journal of Geometric Analysis

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Monard F (2019) Efficient nonparametric Bayesian inference for $X$-ray transforms in The Annals of Statistics

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Paternain G (2019) Lens Rigidity for a Particle in a Yang-Mills Field in Communications in Mathematical Physics

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Paternain G (2019) The geodesic X-ray transform with matrix weights in American Journal of Mathematics

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Paternain G (2016) Invariant distributions and the geodesic ray transform in Analysis & PDE

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Paternain Gabriel P. (2016) The geodesic X-ray transform with matrix weights in arXiv e-prints

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Paternain Gabriel P. (2017) Lens rigidity for a particle in a Yang-Mills field in arXiv e-prints

 
Description We established a new equivalence principle between certain solutions to the transport equation and injectivity results for the X-ay transform acting on tensors. We have also developed new applications of microlocal analysis to several non-linear inverse problems like determining a connection from its scattering data. We have also started a completely new research direction concerning statistical theoretical guarantees for inversion of the X-ray transform when the data is corrupted by noise. A key finding here was a complete inversion of the Fisher information operator associated with X-ray transform using techniques from microlocal analysis.
Exploitation Route The findings from this project are being put to use by statisticians interested in the rigorous foundations of Bayesian inversion of problems arising in medical imaging (X-ray) or seismology. The results are also being used by mathematicians around the world working in related areas as is common practice in the discipline.
Sectors Education,Healthcare,Other

 
Description Collaboration with Matti Lassas and Temu Saksala 
Organisation University of Helsinki
Department Department of Mathematics and Statistics
Country Finland 
Sector Academic/University 
PI Contribution The PDRA in the project, Hanming Zhou started and finished a collaboration with Matti Lassas and Temu Saksala at the University of Helsinki on the reconstruction of a compact Riemannian manifold from the scattering data of internal sources.
Collaborator Contribution The group in Helsinki has special expertise on geometric inverse problems, but Hanming Zhou provided several of the geometric ingredients needed for the project.
Impact Reconstruction of a compact Riemannian manifold from the scattering data of internal sources, arXiv:1708.07573
Start Year 2015