Syllabus for Fourier Analysis

Fourieranalys

Syllabus

  • 5 credits
  • Course code: 1MA211
  • Education cycle: First cycle
  • Main field(s) of study and in-depth level: Mathematics G1F
  • Grading system: Fail (U), Pass (3), Pass with credit (4), Pass with distinction (5)
  • Established: 2012-03-08
  • Established by:
  • Revised: 2019-02-19
  • Revised by: The Faculty Board of Science and Technology
  • Applies from: week 30, 2019
  • Entry requirements: Several Variable Calculus or Geometry and Analysis III, and Linear Algebra II.
  • Responsible department: Department of Mathematics

Learning outcomes

On completion of the course, the student should be able to

  • account for basic concepts and theorems within the Fourier analysis;
  • demonstrate basic numeracy skill concerning the concepts in the previous point;
  • use the numeracy skill at the solution of mathematical and physical problems formulated as ordinary or partial differential equations.

Content

Fourier series in complex and trigonometric form. Pointwise and uniform convergence. The Dirichlet kernel. Summability methods. L^2-theory: Orthogonality, completeness, ON systems. Applications to partial differential equations. Separation of variables. Distributions.


The Fourier transform and its properties. Convolution. The inversion formula. The Plancherel theorem.

The Laplace transform and its properties. Convolution. Applications to initial value problems and
integral equations.

Instruction

Lessons in large and small groups.

Assessment

Written examination at the end of the course.

If there are special reasons for doing so, an examiner may make an exception from the method of assessment indicated and allow a student to be assessed by another method. An example of special reasons might be a certificate regarding special pedagogical support from the disability coordinator of the university.

Other directives

The course may not be included in higher education qualification together with Fourier Analysis (1MA035), 5 credits.

Reading list

Reading list

Applies from: week 30, 2019

Some titles may be available electronically through the University library.

  • Vretblad, Anders Fourier analysis and its applications

    New York: Springer, 2003

    Find in the library

  • Lindahl, Lars-Åke Fourieranalys

    Matematiska institutionen, 2010