THE UNIVERSITY of EDINBURGH

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

University Homepage
DRPS Homepage
DRPS Search
DRPS Contact
DRPS : Course Catalogue : School of Mathematics : Mathematics

Undergraduate Course: Advanced Methods of Applied Mathematics (MATH10086)

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) Credits20
Home subject areaMathematics Other subject areaNone
Course website None Taught in Gaelic?No
Course descriptionOur understanding of the fundamental processes of the natural world is based to a large extent on ordinary and partial differential equations (ODEs and PDEs). This course extends the study of ODEs and PDEs started in earlier courses by introducing several ideas and techniques that enable the construction of explicit exact or approximate solutions.

Integral transforms often provide solutions through integral representations. The integrals involved are nontrivial and need to be approximated using asymptotic expansions that take advantage of large or small parameters. The first part of the course discusses both integral transform methods and asymptotic techniques for the approximation of the resulting integrals. A second part introduces asymptotic techniques for the direct approximations of solutions of ODEs. The final part of the course focuses on PDEs. It introduces important techniques for the solutions several classes of linear PDEs (heat, wave and Laplace equation) and nonlinear PDEs (first-order).
Entry Requirements (not applicable to Visiting Students)
Pre-requisites Students MUST have passed: Honours Differential Equations (MATH10066) AND Honours Complex Variables (MATH10067)
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: 200 ( Lecture Hours 44, Seminar/Tutorial Hours 10, Summative Assessment Hours 3, Programme Level Learning and Teaching Hours 4, Directed Learning and Independent Learning Hours 139 )
Additional Notes
Breakdown of Assessment Methods (Further Info) Written Exam 80 %, Coursework 20 %, Practical Exam 0 %
No Exam Information
Summary of Intended Learning Outcomes
1. Demonstrate the asymptotic property of approximations and distinguish regular and singular perturbation problems.
2. Find dominant balances in differential equations with a small parameter.
3. Compute leading-order approximations of integrals with a small parameter.
4. In simple cases, find complete asymptotic expansions of integrals.
5. Compute WKB approximations of second order ODEs.
6. Identify boundary layers in the solutions of differential equations, and apply matched asymptotics to derive leading-order approximations to the solutions.
7. Ability to use characteristics to analyse PDEs.
8. Ability to classify and analyse the three most classical PDEs.
9. Apply Rankine-Hugoniot conditions to find shock solutions of simple nonlinear PDEs.
Assessment Information
Coursework 20%, Examination 80%
Special Arrangements
None
Additional Information
Academic description Not entered
Syllabus Part 1: Asymptototics and integral transforms. (9h)
(1) integral transforms: Laplace and Fourier (partly revision)
(2) asymptotic expansion: definitions and notations.
(3) asymptotic methods for integrals: Watson¿s lemma, the Laplace method, saddle point method.

Part 2: ODEs (9h)
(4) regular and singular perturbations
(5) WKB approximations: first approximations
(6) boundary value problems: boundary layers

Part 3: PDEs (15h)
(7) first order PDEs: quasilinear, characteristics, shocks.
(8) waves and diffusions
(9) Green's functions
(10) waves in space
(11) eigenvalue problems
(12) nonlinear PDEs.
Transferable skills Not entered
Reading list Books that could be helpful for this course are:
Recommended :
C.M. Bender and S.A. Orszag, Advanced mathematical methods for scientists and engineers, Springer, 1999.
F.W.J. Olver, Asymptotics and Special Functions, Wellesley, 1997.
W.A. Strauss, Partial Differential Equations: an introduction, 2nd edition, Wiley, 2008.
Study Abroad Not entered
Study Pattern Not entered
KeywordsAMAM
Contacts
Course organiserDr Noel Smyth
Tel: (0131 6)50 5080
Email: N.Smyth@ed.ac.uk
Course secretaryMrs Alison Fairgrieve
Tel: (0131 6)50 5045
Email: Alison.Fairgrieve@ed.ac.uk
Navigation
Help & Information
Home
Introduction
Glossary
Search DPTs and Courses
Regulations
Regulations
Degree Programmes
Introduction
Browse DPTs
Courses
Introduction
Humanities and Social Science
Science and Engineering
Medicine and Veterinary Medicine
Other Information
Combined Course Timetable
Prospectuses
Important Information
 
© Copyright 2014 The University of Edinburgh - 29 August 2014 4:20 am