MAT9305 – Partial Differential Equations and Sobolev Spaces I

Schedule, syllabus and examination date

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Changes in the course due to coronavirus

Autumn 2020 the exams of most courses at the MN Faculty will be conducted as digital home exams or oral exams, using the normal grading scale. The semester page for your course will be updated with any changes in the form of examination.

See general guidelines for examination at the MN Faculty autumn 2020.

Course content

The course provides an introduction to the theoretical basis for linear partial differential equations, focusing on elliptic equations and eigenvalue problems. The techniques and methods developed are general and based on functional analysis and Sobolev spaces. They provide qualitative information about solutions even when explicit solution formulas do not exist. Sobolev spaces, and the theory of Sobolev/Poincaré inequalities and Rellich-Kondrachov compactness, form an essential part of modern research on partial differential equations. The course also provides an introduction to the theory of numerical methods, including the Galerkin method.

Learning outcome

After completing the course you:

  • are familiar with Sobolev spaces and their role in analysing partial differential equations;
  • know what is meant by weak differentiability and can define weak solutions of elliptic equations;
  • can use the Lax-Milgram theorem and give proofs for the existence and uniqueness of weak solutions;
  • are familiar with eigenvalues and eigenfunctions of elliptic equations;
  • know basic theory for regularity of weak solutions;
  • have some knowledge of numerical methods for partial differential equations.

Admission to the course

PhD candidates from the University of Oslo should apply for classes and register for examinations through Studentweb.

If a course has limited intake capacity, priority will be given to PhD candidates who follow an individual education plan where this particular course is included. Some national researchers’ schools may have specific rules for ranking applicants for courses with limited intake capacity.

PhD candidates who have been admitted to another higher education institution must apply for a position as a visiting student within a given deadline.

emne: MAT2400 and emne: MAT3360

Overlapping courses


4 hours of lectures/exercises per week.


1 mandatory assignment.

Final written examination.

In addition, each PhD candidate is expected to give an oral presentation on a topic of relevance chosen in cooperation with the lecturer. The presentation has to be approved by the lecturer for the student to be admitted to the final exam.

Examination support material

No examination support material is allowed.

Grading scale

Grades are awarded on a pass/fail scale. Read more about the grading system.

Resit an examination

Studenter som dokumenterer gyldig fravær fra ordinær eksamen, kan ta utsatt eksamen i starten av neste semester.

Det tilbys ikke ny eksamen til studenter som har trukket seg under ordinær eksamen, eller som ikke har bestått.

Special examination arrangements, use of sources, explanations and appeals

See more about examinations at UiO

Last updated from FS (Common Student System) Oct. 28, 2020 9:17:54 PM

Facts about this course

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