MA319      Half Unit
Partial Differential Equations

This information is for the 2021/22 session.

Teacher responsible

Simon, Robert

Availability

This course is available on the BSc in Business Mathematics and Statistics, BSc in Mathematics and Economics, BSc in Mathematics with Economics and BSc in Mathematics, Statistics and Business. This course is available with permission as an outside option to students on other programmes where regulations permit and to General Course students.

Pre-requisites

Students must have completed Further Mathematical Methods (MA212) and Real Analysis (MA203).

Course content

The aim of the course is the study of  partial differential equations. The focus will be on first order quasilinear equations, and second order linear equations. The method of characteristics for solving first order quasilinear equations will be discussed. The three main types of linear second order partial differential equations will be considered: parabolic (diffusion equation), elliptic (Laplace equation), and hyperbolic (wave equation) and their relation to the classification of conic sections. Techniques for solving these for various initial and boundary value problems on bounded and unbounded domains, using eigenfunction expansions (separation of variables, and elementary Fourier series), and integral transform methods (Fourier and Laplace transforms) will be treated. How to change between polar and Cartesian coordinates will be presented, especially for the solution of Laplacian and Poisson equations. Elementary distributional calculus and the notion of weak solutions will also be considered. Applications and examples will be discussed throughout the course.

Teaching

This course is delivered through a combination of classes and lectures totalling a minimum of 30 hours across Michaelmas Term. This year, apart from pre-recorded lecture videos, there will be a weekly live online session of an hour. Depending on circumstances, classes might be online.

Formative coursework

Students will be expected to produce 10 problem sets in the MT.

Written answers to set problems will be expected on a weekly basis.

Indicative reading

  1. S.J. Farlow. Partial Differential Equations for Scientists and Engineers. Dover, 1993.
  2. J.D. Logan. Applied Partial Differential Equations. Second Edition. Springer, 2004.
  3. W. Strauss. Partial Differential Equations. An Introduction. Second Edition. John Wiley, 2008.

Lecture notes will be provided.

Assessment

Exam (100%, duration: 2 hours) in the summer exam period.

Key facts

Department: Mathematics

Total students 2020/21: 34

Average class size 2020/21: 17

Capped 2020/21: No

Value: Half Unit

Guidelines for interpreting course guide information

Personal development skills

  • Self-management
  • Problem solving
  • Communication
  • Application of numeracy skills
  • Specialist skills