lunduniversity.lu.se

Third-Cycle Courses

Faculty of Engineering | Lund University

Details for the Course Syllabus for Course FMA350F valid from Spring 2026

Printable view

General
  • English
  • If sufficient demand
Aim
  • The overall goal of the course is to introduce participants to uncertainty principles in harmonic analysis and show how these issues relate to various problems in mathematical analysis. The course thus provides a comprehensive overview of how various threshold phenomena in harmonic and complex analysis are related to other mathematical disciplines.
Contents
  • The course treats a collection of threshold phenomena in harmonic analysis, such as completeness problems and uniqueness problems. This includes topics such as Wiener's theorem, Heisenberg's uncertainty principle, and Ivashev-Musatov's theorem. The course provides a comprehensive summary of the theory of Nevannlinna theory from different perspectives on uncertainty principles, with applications to F. and M. Riesz's theorems, Szegö's theorem, and Khrushchev's theorem.

    Much of the course content will touch on elements from other mathematical disciplines, such as probability theory, operator theory, potential theory, and fractal geometry.
Knowledge and Understanding
  • For a passing grade the doctoral student must
  • be able to analyze mathematical questions based on methods developed in connection with uncertainty principles in harmonic analysis,
    be able to give examples of important applications of the uncertainty principles, as well as the methods that form the basis for these,
    be able to give a detailed account of the theory behind the methods introduced in the course,
    be able to give an account of research problems within the subject and relate these to uncertainty principles.
Competences and Skills
  • For a passing grade the doctoral student must
  • integrate knowledge from different areas of mathematics to analyze the relevant issues that arise when studying uncertainty principles
    independently identify, formulate, and communicate these mathematical ideas
    plan and execute qualified presentations of the course content within a given time frame
    give oral presentations on advanced mathematical concepts
Judgement and Approach
  • For a passing grade the doctoral student must
  • evaluate different methods from uncertainty principles in harmonic analysis and what roles they play in different research areas in mathematics and physics
    give constructive criticism on other students' ability to communicate mathematical ideas in relation to uncertainty principles
Types of Instruction
  • Lectures
  • Seminars
Examination Formats
  • Seminars given by participants
  • Failed, pass
Admission Requirements
Assumed Prior Knowledge
  • Fourier analysis, Analytic functions, Integration theory, Linear functional analysis, or comparable prior knowledge is required. Hardy space and Harmonic analysis are recommended, but are not required.
Selection Criteria
Literature
  •  
  • The teacher's own compendium will be used, it is largely based on the book The Uncertainty principle in Harmonic Analysis by V. Havin and B. Jöricke.
Further Information
Course code
  • FMA350F
Administrative Information
  • 2026-01-15
  • /Jonas Johansson

All Published Course Occasions for the Course Syllabus

No matching course occasions were found.

0 course occasions.


Printable view