Course Syllabus for

Linear Functional Analysis
Lineär funktionalanalys

MATP35F, 7.5 credits

Valid from: Autumn 2020
Decided by: Professor Thomas Johansson
Date of establishment: 2020-09-24

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 code: MATP35
Teaching language: English


To give the postgraduate student a solid knowledge about the basic concepts of functional analysis, and about some of its applicatons. Such knowledge is important for research in mathematical analysis, and for research within some other fields of mathematical character such as control theory.


Knowledge and Understanding

For a passing grade the doctoral student must

Competences and Skills

For a passing grade the doctoral student must

Judgement and Approach

For a passing grade the doctoral student must be able to identify situations in which the methods of functional analysis apply, for example in other mathematical fields such as ordinary and partial differential equations, function spaces and operator theory.

Course Contents

The course treats fundamental properties of Banach and Hilbert spaces and the bounded linear operators defined on them: • Banach spaces, the Hahn-Banach Theorem, weak convergence and weak precompactness of the unit ball. • Hilbert spaces. Examples including L^2 spaces. Orthogonality, orthogonal complement, closed subspaces, the Projection Theorem. The Riesz Representation Theorem. • Orthonormal sets, Bessel's Inequality. Complete orthonormal sets, Parseval's Identity. • The Baire Category Theorem and its consequences for operators on Banach spaces (the Uniform Boundedness, Open Mapping, Inverse Mapping and Closed Graph theorems). Strong convergence of sequences of operators. *Bounded and compact linear operators on Banach spaces and their spectra. *The Spectral Theorem for compact self-adjoint operators on Hilbert spaces.

Course Literature

Lax, Peter D.: Functional Analysis. John Wiley & Sons, 2002. ISBN 9780471556046.

Instruction Details

Types of instruction: Lectures, seminars

Examination Details

Examination formats: Written exam, oral exam
Grading scale: Failed, pass

Admission Details

Assumed prior knowledge: Mathematics correponding to the master programme Engineering Mathematics and some course on Lebesgue integration.

Course Occasion Information

Contact and Other Information

Course coordinators:
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