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MA3XJ-Integral Equations
Module Provider: Mathematics and Statistics
Number of credits: 10 [5 ECTS credits]
Level:6
Terms in which taught: Spring term module
Pre-requisites: MA2DE Differential Equations or MA2DE2NU Differentiable Equations II and MA1RA1 Real Analysis I or MA2RA1 Real Analysis I or MA1RA2NU Real Analysis II
Non-modular pre-requisites:
Co-requisites:
Modules excluded: MA4XJ Integral Equations
Current from: 2023/4
Module Convenor: Prof Simon Chandler-Wilde
Email: s.n.chandler-wilde@reading.ac.uk
Type of module:
Summary module description:
This module in concerned with the theory, application and solution of integral equations, with an emphasis on applications that are part of research across the School, at ºÚÁϳԹÏÍø (for example wave scattering of water waves, of acoustic and electromagnetic waves by atmospheric particles, etc.).
Aims:
To introduce students to the theory, application and solution of integral equations, with some emphasis on aspects relevant to the large research effort in this area in mathematics and meteorology.
Assessable learning outcomes:
By the end of the module students are expected to be able to:
- formulate integral equations as problems in a Banach space;Ìý
- apply approximation techniques for solving integral equations and be able to draw conclusions about their accuracy;Ìý
- formulate one-dimensional wave-scattering problems as integral equations.
Additional outcomes:
Outline content:
In applied mathematics many physical problems are best formulated as integral equations. In this course, a general introduction to the key issues is followed by a discussion of widely used approximation techniques, and this leads on to a detailed examination of real-world wave-scattering problems, arising in our research in mathematics, and in applications in meteorology. The main components of the module are:Ìý
- Classification of integral equations.
- Exact solution of degenerate kernel Fredholm integral equations.
- Boundedness of integral operators with continuous and weakly singular kernels, and computation of the norm.Ìý
- Questions of uniqueness and existence of solution (in part tackled by functional analysis methods): the Fredholm alternative and Neumann series.Ìý
- Numerical methods for Fredholm and Volterra integral equations, namely degenerate kernel approximations and Trapezium rule time-stepping.
- Applications of integral equation methods to wave scattering: the Lippmann Schwinger integral equation and application in atmospheric particle scattering.
- The numerical analysis of the trapezium rule method for Volterra integral equations via Gronwall inequalities.
Brief description of teaching and learning methods:
Lectures, with some tutorials, supported by course notes, problem sheets.
Ìý | Autumn | Spring | Summer |
Lectures | 20 | ||
Tutorials | 5 | ||
Guided independent study: | 75 | ||
Ìý | Ìý | Ìý | Ìý |
Total hours by term | 0 | 100 | 0 |