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# Details for Course MATP35F Linear Functional Analysis

General
• MATP35F
• Temporary
Course Name
• Linear Functional Analysis
Course Extent
• 7.5
Type of Instruction
• Course given jointly for second and third cycle
• 7151 (Centre of Mathematical Sciences / Mathematics)
• 2020-09-24
• Professor Thomas Johansson

## Current Established Course Syllabus

General
Aim
• 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.
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.
Knowledge and Understanding
• For a passing grade the doctoral student must
• be able to give a detailed account of the concepts, theorems and methods within functional analysis that are treated in the course

be able to identify the main theorems of the course, describe the main ideas in their proofs, and carry out the steps.

be able to give examples of non-trivial situations where these theorems apply.
Competences and Skills
• For a passing grade the doctoral student must
• be able to integrate knowledge from the different parts of the course in connection with problem solving

be able to identify problems that can be solved by methods that are part of the course and use appropriate solution methods

be able to explain the solutions of related mathematical problems, in speech and in writing, in a logically coherent manner, and with adequate terminology.

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.
Types of Instruction
• Lectures
• Seminars
Examination Formats
• Written exam
• Oral exam
• Failed, pass
Assumed Prior Knowledge
• Mathematics correponding to the master programme Engineering Mathematics and some course on Lebesgue integration.
Selection Criteria
Literature
• Lax, Peter D.: Functional Analysis. John Wiley & Sons, 2002. ISBN 9780471556046.
Further Information
Course code
• MATP35F
• 2020-09-24
• Professor Thomas Johansson

## All Established Course Syllabi

1 course syllabus.

Valid from First hand in Second hand in Established
Autumn 2020 2020‑09‑18 11:47:48 2020‑09‑22 08:57:07 2020‑09‑24

## Current or Upcoming Published Course Occasion

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