Undergraduate Programme and Module Handbook 2009-2010 (archived)
Module MATH3231: SOLITONS III
Department: Mathematical Sciences
MATH3231:
SOLITONS III
Type |
Open |
Level |
3 |
Credits |
20 |
Availability |
Available in 2010/11 and alternate years thereafter |
Module Cap |
None. |
Location |
Durham
|
Prerequisites
- Complex Analysis II (MATH2011) AND Linear Algebra II (MATH2021) AND Analysis in Many Variables II (MATH2031); OR Contours and Symmetries II (MATH2111) AND Linear Algebra (MATH2021) AND Analysis in Many Variables II (MATH2031); OR Contours and Hyperbolic Geometry II (MATH2121) AND Linear Algebra (MATH2021) AND Analysis in Many Variables II (MATH2031); OR Contours and Actuarial Mathematics II (MATH2171) AND Linear Algebra (MATH2021) AND Analysis in Many Variables II (MATH2031); OR Contours and Probability II (MATH2**1) AND Linear Algebra (MATH2021) AND Analysis in Many Variables II (MATH2031).
Corequisites
Excluded Combination of Modules
Aims
- To provide an introduction to solvable problems in nonlinear partial differential equations which have a physical application.
- This is an area of comparatively recent development which still possesses potential for growth.
Content
- Nonlinear wave equations.
- Progressive wave solutions.
- Backlund transformations for Sine Gordon equation.
- Backlund transformations for KdV equation.
- Conservation laws in integrable systems.
- Hirota's method.
- The Nonlinear Schrodinger equation.
- The inverse scattering method.
- The inverse scattering method: two component equations.
- Toda equations.
- Integrability.
Learning Outcomes
- By the end of the module students will:
- be able to solve novel and/or complex problems in Solitons.
- have a systematic and coherent understanding of theoretical mathematics in the field of Solitons.
- have acquired coherent body of knowledge of these subjects demonstrated through one or more of the following topic areas:
- Nonlinear wave equations.
- Progressive wave solutions.
- Backlund transformations for the sine-Gordon equation and the KdV equation.
- Conservation laws in integrable systems.
- Hirota's method.
- The nonlinear Schrodinger equation.
- In addition students will have specialised mathematical skills in the following areas which can be used with minimal guidance: Modelling, spatial awareness.
Modes of Teaching, Learning and Assessment and how these contribute to
the learning outcomes of the module
- Lectures demonstrate what is required to be learned and the application of the theory to practical examples.
- Assignments for self-study develop problem-solving skills and enable students to test and develop their knowledge and understanding.
- Formatively assessed assignments provide practice in the application of logic and high level of rigour as well as feedback for the students and the lecturer on students' progress.
- The end-of-year examination assesses the knowledge acquired and the ability to solve predictable and unpredictable problems.
Teaching Methods and Learning Hours
Activity |
Number |
Frequency |
Duration |
Total/Hours |
|
Lectures |
40 |
2 per week for 19 weeks and 2 in term 3 |
1 Hour |
40 |
|
Preparation and Reading |
|
|
|
160 |
|
Total |
|
|
|
200 |
|
Summative Assessment
Component: Examination |
Component Weighting: 100% |
Element |
Length / duration |
Element Weighting |
Resit Opportunity |
three hour written examination |
|
100% |
|
Four written assignments to be assessed and returned. Other assignments are set for self-study and complete solutions are made available to students.
■ Attendance at all activities marked with this symbol will be monitored. Students who fail to attend these activities, or to complete the summative or formative assessment specified above, will be subject to the procedures defined in the University's General Regulation V, and may be required to leave the University