FUNCTIONAL ANALYSIS AND PARTIAL DIFFERENTIAL EQUATIONS - 2019/0

Module Overview

This module introduces the basic concepts of functional analysis including Hilbert and Banach spaces, the associated spaces of linear functionals, weak convergences, etc. The introduced concepts are then used to give an introduction to the modern theory of partial differential equations.

Module provider

Mathematics

Module Leader

KOSTIANKO Anna (Maths)

Number of Credits: 15

ECTS Credits: 7.5

Framework: FHEQ Level 7

Module cap (Maximum number of students): N/A

Module Availability

Semester 1

Prerequisites / Co-requisites

MAT2004, MAT2011

Module content

Indicative content includes:

• Hilbert and Banach spaces, linear functionals, dual spaces, reflexivity.


• Weak and strong convergences. Weak compactness of a unit ball in reflexive spaces.


• Introduction to distributions and Sobolev spaces.


• Weak formulation of Dirichlet and Neumann problems for the Laplacian.


• Variational formulation of these problems.


• Introduction to non-linear partial differential equations.

Assessment pattern

Alternative Assessment

N/A

Assessment Strategy

The assessment strategy is designed to provide students with the opportunity to demonstrate:

·         Understanding of and ability to solve/prove problems in operator and PDE theories.

·         Subject knowledge through the recall of key definitions, theorems and their proofs.

·         Analytical ability through the solution of unseen problems in the test and exam.

Thus, the summative assessment for this module consists of:

• 
  One two hour examination (three of four best answers contribute to exam mark) at the end of Semester 1; worth 75% module mark.
  


• 
  Two in-semester tests; one worth 12% and the other 13% of the module mark.
  

 

Formative assessment and feedback

Students receive written feedback via a number of marked coursework assignments over an 11 week period.  In addition, verbal feedback is provided by lecturer at tutorials. 

 

Module aims

• The aim of this module is to introduce students to basic concepts and methods of functional analysis with applications to PDEs.

Learning outcomes

Methods of Teaching / Learning

The learning and teaching strategy is designed to provide:

• A detailed introduction to basic concepts and methods of functional analysis with applications to PDEs.


• Experience (through demonstration) of the methods used to interpret, understand and solve/prove problems in functional analysis and PDEs.

The learning and teaching methods include:

• 3 x 1 hour lectures per week x 11 weeks, with blackboard/whiteboard notes to supplement the module lecture notes and Q + A opportunities for students.

 

Indicated Lecture Hours (which may also include seminars, tutorials, workshops and other contact time) are approximate and may include in-class tests where one or more of these are an assessment on the module. In-class tests are scheduled/organised separately to taught content and will be published on to student personal timetables, where they apply to taken modules, as soon as they are finalised by central administration. This will usually be after the initial publication of the teaching timetable for the relevant semester.

Reading list

https://readinglists.surrey.ac.uk
Upon accessing the reading list, please search for the module using the module code: MATM022

Programmes this module appears in

Please note that the information detailed within this record is accurate at the time of publishing and may be subject to change. This record contains information for the most up to date version of the programme / module for the 2019/0 academic year.