Course Syllabus for

# Functional Analysis and Harmonic Analysis Funktionalanalys och harmonisk analys

## FMAN80F, 7.5 credits

Valid from: Autumn 2019
Decided by: FN1/Anders Gustafsson
Date of establishment: 2013-11-15

## General Information

Division: Mathematics
Course type: Course given jointly for second and third cycle
The course is also given at second-cycle level with course codes: FMAN80, FMA260
Teaching language: English

## Aim

Functional analysis and harmonic analysis are fundamental tools in many mathematical applications (e.g., in field theory, solid mechanics, control theory, signal processing) and in mathematical statistics and numerical analysis. The aim of the course is to convey knowledge about basic concepts and methods, and to give the ability, both to follow discussions where these are used and to independently solve mathematical problems which arise in the applications. An important goal of the course is also to develop a power of abstraction which makes it easier to see analogies between problems from apparently different fields.

## Goals

Knowledge and Understanding

For a passing grade the doctoral student must

• have knowledge of different common norms and their usefulness in different applications.
• be familiar with the meaning of the concepts of completeness and compactness, and be aware that the choice of norm has an impact on these properties of a space. In particular, the student should have a good understanding of the difference between the infinite and the finite dimensional case.
• be familiar with the basic properties of the dual space of a normed space.
• be familiar with the most common classes of linear and bounded operators, and have an understanding of how spectral theory provides information on the properties of a linear operator.
• be familiar with how the properties of a function are reflected in its Fourier transform.
• be able to explain the basic theory in an oral examination.

Competences and Skills

For a passing grade the doctoral student must

• with access to literature independenly be able to integrate methods and approaches from different parts of the course in order to solve problems and answer questions within the framework of the course.
• in writing and orally, with proper terminology and clear logic be able to explain the solution to a mathematical problem within the course.
• be able to translate concrete mathematical problems into the abstract language of the course.

## Course Contents

Functional analysis: norms and approximation, completeness, compactness, function spaces, Hilbert spaces, orthogonality and orthogonal systems, linear operators, spectral theory. Dual spaces and Hahn-Banach. Harmonic analysis: the Fourier transform and Sobolev spaces. Uncertainty relations, the sampling theorem, Fourier transforms and analytic functions, the Hilbert transform.

## Course Literature

Renardy, M. & Rogers, Robert C.: An Introduction to Partial Differential Equations. Springer, 2004. ISBN 9780387004440.
Some further material.

## Instruction Details

Types of instruction: Lectures, exercises

## Examination Details

Examination formats: Written exam, oral exam
Examiner: