THE UNIVERSITY of EDINBURGH

DEGREE REGULATIONS & PROGRAMMES OF STUDY 2014/2015
- ARCHIVE as at 1 September 2014

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DRPS : Course Catalogue : School of Mathematics : Mathematics

Undergraduate Course: Nonlinear Schrödinger equations (MATH11137)

Course Outline
SchoolSchool of Mathematics CollegeCollege of Science and Engineering
Course typeStandard AvailabilityAvailable to all students
Credit level (Normal year taken)SCQF Level 11 (Year 5 Undergraduate) Credits10
Home subject areaMathematics Other subject areaNone
Course website None Taught in Gaelic?No
Course descriptionThis course is an introduction to analytical treatment of dispersive partial differential equations. In particular, the course focuses on the theoretical study of the nonlinear Schrödinger equations (NLS). The students will first learn Fourier transform, relevant function spaces and useful inequalities, and then use them to prove existence of unique solutions to NLS and further study their long time behaviour. The course aims to provide a glimpse of analysis in the theory of PDEs.
Entry Requirements (not applicable to Visiting Students)
Pre-requisites Students MUST have passed: Honours Analysis (MATH10068) AND Honours Differential Equations (MATH10066) AND Linear and Fourier Analysis (MATH10081)
It is RECOMMENDED that students have passed Essentials in Analysis and Probability (MATH10047)
Co-requisites
Prohibited Combinations Other requirements None
Additional Costs None
Information for Visiting Students
Pre-requisitesNone
Displayed in Visiting Students Prospectus?No
Course Delivery Information
Not being delivered
Summary of Intended Learning Outcomes
Students should be able to:
- Explain the concept of well-posedness of an evolution PDE
- Comfortably work on Fourier transforms and relevant estimates
- Describe different function spaces such as Lebegue spaces and Sobolev spaces
- State, prove and use Sobolev embedding theorem
- State and use Strichartz estimates
- Prove conservation of mass, momentum and Hamiltonian
- Feel comfortable in applying inequalities to establish linear and nonlinear estimates
- Prove short time existence of unique solutions to NLS and discuss possible global-in-time behaviour
Assessment Information
Coursework 100%
Special Arrangements
None
Additional Information
Academic description Not entered
Syllabus - Review of the following topics: Lebesgue spaces, Hölder, Minkowski (integral) and interpolation inequalities. Fourier transform: Plancherel identity, Hausdorff-Young's inequality. Convolution: Young's inequality, duality of products and convolutions under Fourier transform
- (fractional) Sobolev spaces: Sobolev embedding theorem via Fourier transform, algebra property of Sobolev spaces
- space-time function spaces
- local well-posedness (I): via Sobolev embedding and Banach fixed point theorem
- virial identity, finite-time blowup solutions
- linear solutions: dispersive estimate, Strichartz estimate
- local well-posedness (II): via Strichartz estimate
- conservation laws, global existence
- a glimpse of scattering theory

The main focus is on how to use inequalities and establish estimates. Hence, some inequalities will be given without proofs and some operations such as switching limits and integrals will be performed without rigorous justifications.
Transferable skills Not entered
Reading list The following is suggested as references:

F. Linares, Felipe and G. Ponce. Introduction to nonlinear dispersive equations. Universitext. Springer, New York, 2009

Students might also find the following useful for reference:

T. Cazenave. Semilinear Schrödinger equations. Courant Lecture Notes in Mathematics, 10. New York University, Courant Institute of Mathematical Sciences, New York; American Mathematical Society, Providence, RI, 2003.

T. Tao. Dispersive PDE: Local and global analysis. CBMS Regional Conference Series in Mathematics, 106. Published for the Conference Board of the Mathematical Sciences, Washington, DC; by the American Mathematical Society, Providence, RI, 2006
Study Abroad Not entered
Study Pattern Not entered
KeywordsNSE
Contacts
Course organiserDr Thomas Leinster
Tel: (0131 6)50 5057
Email: Tom.Leinster@ed.ac.uk
Course secretaryMrs Alison Fairgrieve
Tel: (0131 6)50 5045
Email: Alison.Fairgrieve@ed.ac.uk
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