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: Elliptic Partial Differential Equations (MATH10089)

Course Outline
SchoolSchool of Mathematics CollegeCollege of Science and Engineering
Course typeStandard AvailabilityAvailable to all students
Credit level (Normal year taken)SCQF Level 10 (Year 4 Undergraduate) Credits10
Home subject areaMathematics Other subject areaNone
Course website None Taught in Gaelic?No
Course descriptionThe aim of the course is to give an introduction to elliptic partial differential equations and their applications in geometry, material sciences, biology and finance. The student will learn about important concepts such as the notion of a weak solution, the maximum principle as well as important theoretical results, for example the Krylov-
Safonov theorem.
Entry Requirements (not applicable to Visiting Students)
Pre-requisites Students MUST have passed: Honours Analysis (MATH10068) OR Algebra and Calculus (PHYS08041) OR Linear Algebra and Several Variable Calculus (PHYS08042)
Co-requisites
Prohibited Combinations Other requirements None
Additional Costs None
Information for Visiting Students
Pre-requisitesNone
Displayed in Visiting Students Prospectus?Yes
Course Delivery Information
Delivery period: 2014/15 Semester 1, Available to all students (SV1) Learn enabled:  Yes Quota:  None
Web Timetable Web Timetable
Course Start Date 15/09/2014
Breakdown of Learning and Teaching activities (Further Info) Total Hours: 100 ( Lecture Hours 22, Seminar/Tutorial Hours 5, Summative Assessment Hours 2, Programme Level Learning and Teaching Hours 2, Directed Learning and Independent Learning Hours 69 )
Additional Notes
Breakdown of Assessment Methods (Further Info) Written Exam 95 %, Coursework 5 %, Practical Exam 0 %
Exam Information
Exam Diet Paper Name Hours & Minutes
Main Exam Diet S1 (December)MATH10089 Elliptic Partial Differential Equations2:00
Summary of Intended Learning Outcomes
1. Reformulate equations of divergence form through integral identities using partial integration.
2. Evaluate or estimate the maximum and minimum of solutions of elliptic equation using the maximum principle.
3. Infer regularity of solutions from that of given data.
4. Explicitly compute the (radially) symmetric solutions and Green/Poisson kernels for the Laplace operator.
5. Estimate first and second order derivatives of solutions via integral norms of solution itself.
6. Compare qualitative properties of weak and viscosity solutions.
Assessment Information
Coursework 5%, Examination 95%
Special Arrangements
None
Additional Information
Academic description Not entered
Syllabus Examples of elliptic PDEs and various types of weak solutions.
Weak differentiability, Sobolev spaces and classical solutions.
Harmonic functions: Mean value theorem, Greens function Poisson kernel.
Maximum principle for general linear equations.
Divergence form equations, Caccioppoli's inequality, Morrey's theorem in two dimensions.
Non-divergence form equations, strong and viscosity solutions.
Aleksandrov's maximum principle.
Krylov-Safonov's theorem.
Transferable skills Not entered
Reading list Recommended :
E. Landis, Second Order Equations of Elliptic and Parabolic Type, AMS 1998
Qing Han, Fanghua Lin, Courant Institute Lecture notes, NYU, 2011
D. Gilbarg, N. Trudinger, Elliptic Partial Differential Equations of Second Order, Springer, 2011
Study Abroad Not entered
Study Pattern Not entered
KeywordsEPDE
Contacts
Course organiserDr Martin Dindos
Tel:
Email: M.Dindos@ed.ac.uk
Course secretaryMrs Alison Fairgrieve
Tel: (0131 6)50 5045
Email: Alison.Fairgrieve@ed.ac.uk
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