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Linear Partial Differential Equations (MATH0070)

Key information

Faculty
Faculty of Mathematical and Physical Sciences
Teaching department
Mathematics
Credit value
15
Restrictions
This module is normally taken by fourth (or third) year students on single or combined honours mathematics degrees, who have taken MATH0013 Analysis 3: Complex Analysis, MATH0016 Mathematical Methods 3 and MATH0051 Analysis 4: Real Analysis.
Timetable

Alternative credit options

There are no alternative credit options available for this module.

Description

Partial differential equations are important in many fields of mathematics and are the essential language of physical applied mathematics, where they are used to model phenomena including wave propagation, heat flow, as well as soap films and soap bubbles. This course provides an introduction to some of the mathematical techniques needed to study linear partial differential equations and serves as a foundation for more advanced work on nonlinear PDE and PDE on manifolds. Tools such as the theory of distributions and the Fourier transform are of wide applicability beyond the theory of PDEs and are of great interest in their own right. The objectives of the course are to introduce test functions (smooth functions with compact support) and distributions, the Schwartz space, and then study the Fourier transform in the Schwartz space and L2. Using these tools we shall then be able to write down fundamental solutions for a large class of linear differential operators and will be able to study the qualitative differences between elliptic, parabolic and hyperbolic partial differential equations. The Fourier transform gives access to the simplest L2-based Sobolev spaces and allows us to give basic versions of elliptic regularity for constant-coefficient operators. The course will conclude with a detailed study of harmonic functions, emphasising the parallels with complex function theory and will use Perron¿s method to study the Dirichlet problem for domains in Rn..

Module deliveries for 2024/25 academic year

Intended teaching term: Term 1 ÌýÌýÌý Undergraduate (FHEQ Level 7)

Teaching and assessment

Mode of study
In person
Methods of assessment
90% Exam
10% Coursework
Mark scheme
Numeric Marks

Other information

Number of students on module in previous year
23
Module leader
Dr Ilia Kamotski
Who to contact for more information
math.ugteaching@ucl.ac.uk

Last updated

This module description was last updated on 19th August 2024.

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