MA00CW41 Introduction to Partial Differential Equations (5 cr)

Cooperation network course

Network: Cross-institutional studies in advanced courses in mathematics and statistics

This course is offered through the Network for Advanced Studies in Mathematics. These studies are available for the following degree students:

  • Bachelor's Degree Programme in Mathematics
  • Master's Degree Programme in Mathematics
  • Bachelor's Degree Programme in Mathematics (Subject Teacher)
  • Master's Degree Programme in Mathematics (Subject Teacher)
  • Bachelor's Degree Programme in Mathematics, Chemistry or Physics Subject Teacher Education and Primary Teacher Education (Specialication in Mathematics)
  • Master's Degree Programme in Mathematics, Chemistry or Physics Subject Teacher Education and Primary Teacher Education (Specialication in Mathematics)
  • Doctoral Programme in Mathematics and Statistics
  • Doctoral Programme in Mathematics and Science (Specialication in Mathematics)

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Description

A case study of Laplace's equation: gravitational/electric potentials, variational formulation. Explicit solutions in simple geometries; point charges and Poisson problems. Mean value pricinple, Maximum principle, Harnack's inequality. Conformal invariance and related solution methods. Shorter studies of selected topics: the wave equation and Fourier transform; Sobolev spaces, weak solutions and general elliptic PDE theory; Finite element method.

Learning outcomes

After a completed course the student will: -understand the importance of partial differential equations in applied and theoretical mathematics; -know the basic theoretical questions (existence, uniqueness, stability, regularity) in PDEs and their theory in the case of the Laplace and elliptic PDEs; -know the rudiments of various solution methods: kernel methods, Fourier series, finite element numerics.

Additional information

A new course (2026). Shared with UTU. Materials prepared in English. Teaching language may be Swedish in case there are only Swedish-speakers taking the course.

Description of prerequisites

BSc level courses in: multivariate calculus, analysis, matrices/linear algebra. General BSc level mathematical maturity required.