EPSRC Reference: 
EP/P01593X/1 
Title: 
Inverse problems for hyperbolic partial differential equations 
Principal Investigator: 
Oksanen, Dr L 
Other Investigators: 

Researcher CoInvestigators: 

Project Partners: 

Department: 
Mathematics 
Organisation: 
UCL 
Scheme: 
EPSRC Fellowship 
Starts: 
01 March 2017 
Ends: 
28 February 2022 
Value (£): 
629,463

EPSRC Research Topic Classifications: 
Mathematical Analysis 
Nonlinear Systems Mathematics 
Numerical Analysis 


EPSRC Industrial Sector Classifications: 
No relevance to Underpinning Sectors 


Related Grants: 

Panel History: 

Summary on Grant Application Form 
A typical inverse boundary value problem arises when an object is probed by sending waves to it in order to determine some properties of the object from the measured responses. The proposed research focuses on the case where the measurements are modelled using the acoustic wave equation. The acoustic case can be seen as a prototype case for several geophysical imaging problems. These problems can be local, for example, when the goal is to detect geological deposits, or global when the goal is to chart the internal structure of the Earth.
The aim of the proposed research is to significantly extend the mathematical theory of inverse boundary value problems and to bridge the gap between this theory and practical applications in geophysical imaging. The main theoretical objective is to show that the inverse boundary value problem for the wave equation has a unique solution in the fully coordinate invariant context.
The main practical objective is to develop a new computational method for inverse boundary value problems. The presently used computational methods in geophysical imaging are not based on the mathematical theory of inverse boundary value problems. Bridging the gap between the theory and applications has a potential for a high impact on the latter, and the resulting physical understanding will also guide further mathematical study.
The research brings together ideas from analysis of partial differential equations, differential geometry, and numerical analysis.

Key Findings 
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Summary 

Date Materialised 


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