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Unique Continuation for Geometric Wave Equations, and Applications to Relativity, Holography, and Controllability

  • Full or part time
  • Application Deadline
    Applications accepted all year round
  • Competition Funded PhD Project (Students Worldwide)
    Competition Funded PhD Project (Students Worldwide)

Project Description

The School of Mathematical Sciences of Queen Mary University of London invite applications for a PhD project commencing either in September 2019 for students seeking funding, or at any point in the academic year for self-funded students. The deadline for funded applications is 31 January 2019.

This project will be supervised by Dr Arick Shao.

A wide variety of phenomena in science, economics, and engineering are mathematically modelled by partial differential equations, or PDEs. Wave equations form an important subclass of PDEs and are found within many fundamental equations of physics, such as the Maxwell equations (electromagnetics), Yang-Mills equations (particle physics), Einstein field equations (gravitation), and Euler equations (fluid dynamics).

A basic problem in PDEs, and for wave equations in particular, is to find a unique solution given appropriate data. This can be interpreted as being able to "predict the future" given initial conditions for a system. On the other hand, in settings where the equation may not always be solved, it remains pertinent to ask whether solutions, if they exist, remain unique; this is the problem of unique continuation.

On the abstract side,the focus of the project is on studying unique continuation questions in "degenerate" settings, for which the classical theory fails to apply. One particular goal is the development of robust geometric techniques that apply to a wide variety of curved settings.

However, the bulk of the project will deal with applying the results and techniques of this unique continuation theory toward other problems in PDEs and physics:

• One ongoing direction of this research project is to apply unique continuation techniques to study holographic principles in theoretical physics.This is largely motivated by the AdS/CFT correspondence, a tremendously influential idea in theoret ical physics that is also currently lacking rigorous mathematical foundations.

• Another arc of this project deals with applying ideas from unique continuation theory, in particular Carleman estimates , toward problems in control theory and inverse problems. Given the prevalence of waves in physics, both control and inverse problems for waves are well-connected to important questions in science and engineering.

The application procedure is described on the School website. For further inquiries please contact Dr Arick Shao at . Applicants will have to participate in a highly competitive selection process.

Funding Notes

This project can be also undertaken as a self-funded project, either through your own funds or through a body external to Queen Mary University of London. Self-funded applications are accepted year-round.

The School of Mathematical Sciences is committed to the equality of opportunities and to advancing women’s careers. As holders of a Bronze Athena SWAN award we offer family friendly benefits and support part-time study. Further information is available here. We strongly encourage applications from women as they are underrepresented within the School.

We particularly welcome applicants through the China Scholarship Council Scheme.

References

A. Shao, On Carleman and observability estimates for wave equations on time-dependent domains, (preprint)
arXiv: http://www.arxiv.org/abs/1805.07859

G. Holzegel, A. Shao, Unique continuation from infinity in asymptotically Anti-de Sitter spacetimes II: Non-static boundaries, Comm. Partial Differential Equations, 42 (2017), 1871–1922

G. Holzegel, A. Shao, Unique continuation from infinity in asymptotically Anti-de Sitter spacetimes, Commun. Math. Phys., 347 (2016), 1–53

Related Subjects

How good is research at Queen Mary University of London in Mathematical Sciences?

FTE Category A staff submitted: 34.80

Research output data provided by the Research Excellence Framework (REF)

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