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Graduate courses

Departments' graduate courses for PhD-students.


Syllabus for

Academic year
MVE290 - Fourier methods  
Syllabus adopted 2019-02-12 by Head of Programme (or corresponding)
Owner: TKKEF
7,5 Credits
Grading: TH - Five, Four, Three, Fail
Education cycle: First-cycle
Major subject: Chemical Engineering with Engineering Physics, Mathematics, Engineering Physics

Teaching language: Swedish
Application code: 54115
Open for exchange students: No
Maximum participants: 45
Only students with the course round in the programme plan

Module   Credit distribution   Examination dates
Sp1 Sp2 Sp3 Sp4 Summer course No Sp
0109 Examination 6,0 c Grading: TH   6,0 c   20 Mar 2020 am M   08 Jun 2020 am J,  25 Aug 2020 am J
0209 Written and oral assignments 1,5 c Grading: UG   1,5 c    

In programs



Julie Rowlett

  Go to Course Homepage


In order to be eligible for a first cycle course the applicant needs to fulfil the general and specific entry requirements of the programme(s) that has the course included in the study programme.

Course specific prerequisites

Real analysis, Multivariable analysis, Linear algebra, Complex mathematical analysis.


The course introduces Fourier methods in the program. These methods are powerful mathematical tools in technology and science.

Learning outcomes (after completion of the course the student should be able to)

The goal is to give the student a firm background in solution techniques for partial differential equations using separation of variables, eigenfunction and Fourier series expansions, as well as Fourier and Laplace transforms. Fourier methods usually lead to solutions in the form of trigonometric series or integrals like the Poisson integral. Based on the geometry of the physical domain and the character of the equation, the trigonometric functions in the series expansion can be replaced by other orthogonal systems, e.g., Bessel functions or Legendre, Hermite or Laguerre polynomials.

These solution techniques are closely related to the theory of partial differntial equations, and to distribution theory. The course gives an introductory understanding of these fields; in particular the distribution derivative is treated.


The method of separation of variables. Trigonometric Fourier series and their convergence. Examples of initial and boundary value problems for partial differential equations: the heat equation, the wave equation, Laplace/Poisson's equation. Orthogonal systems of functions, completeness, Sturm-Liouville eigenvalue problems. Various solution techniques like homogenization, superposition and eigenfunction expansion. Bessel functions and orthogonal polynomials (Legendre, Hermite and Laguerre polynomials). Solution methods in spherical or cylindrical coordinates. Fourier transforms and their applications to partial differential equations. Signal analysis, discrete Fourier transforms and Fast Fourier Transforms. Laplace transforms with applications.  Distributions and their use as solutions to differential equations.


The course is organized in lectures and exercises (about 5h/week of each). It includes a hand-in assignment, and computer laborations may occur.


G.B. Folland: Fourier Analysis and Its Applications. Wadsworth & Brooks/Cole, Pacific Grove 1992, Chapters 1-9, plus some additional material.

Examination including compulsory elements

A written exam with about 6 problems and 2 theory questions, in 5 hours.

Page manager Published: Thu 04 Feb 2021.