Partial Differential Equations I - MAT00040H
- Department: Mathematics
- Credit value: 10 credits
- Credit level: H
- Academic year of delivery: 2022-23
Related modules
Module will run
| Occurrence | Teaching period |
|---|---|
| A | Autumn Term 2022-23 |
Module aims
A partial differential equation (PDE) is a differential equation that contains an unknown function and its partial derivatives. PDEs are used to describe a wide range of natural processes. Examples include fluid mechanics, elasticity theory, electrodynamics, quantum mechanics, etc. PDEs also play an important role in other areas of mathematics such as analysis and differential geometry.
The aim of this module is to give an introduction to the basic properties of PDEs and to the basic analytical techniques to solve them.
Module learning outcomes
At the end of the module students should
- be able to determine the type of a second order PDE
- be able to solve simplest first order PDEs
- understand what are well-posed initial (and/or boundary) value problems for classical PDEs such as the wave equation, the Laplace equation and the heat (diffusion) equation
- know basic analytical techniques for solving the above classical equations
Module content
Syllabus
- Introduction: what is a PDE, first-order linear PDEs, initial and boundary conditions, well-posed problems, types of second-order PDEs.
- Wave equation: d'Alembert’s formula, causality and energy, reflection of waves.
- Heat (diffusion) equation: maximum principle, heat equation on the whole line and on the half-line
- Laplace equation: maximum principle, Poisson’s formula, rectangular domain
Academic and graduate skills
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Academic skills: the techniques taught are used in many areas of pure and applied mathematics.
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Graduate skills: through lectures, examples, classes, students will develop their ability to assimilate, process and engage with new material quickly and efficiently. They develop problem solving-skills and learn how to apply techniques to unseen problems.
Indicative assessment
| Task | % of module mark |
|---|---|
| Closed/in-person Exam (Centrally scheduled) | 100.0 |
Special assessment rules
None
Indicative reassessment
| Task | % of module mark |
|---|---|
| Closed/in-person Exam (Centrally scheduled) | 100.0 |
Module feedback
Current Department policy on feedback is available in the undergraduate student handbook. Coursework and examinations will be marked and returned in accordance with this policy.
Indicative reading
W.A.Strauss, Partial Differential Equations. An Introduction. John Wiley & Sons. 1992.