Entry requirements

10 credits in mathematics. Participation in Several Variable Calculus, Several Variable Calculus M or Geometry and Analysis III.

Learning outcomes

In order to pass the course the student should be able to

• give an account of the foundations of calculus of variations and of its applications in mathematics and physics;
• formulate important results and theorems covered by the course;
• use the theory, methods and techniques of the course to solve simpler variation- and boundary value problems;
• present mathematical arguments to others.

Content

Calculus of Variations deals with optimisation problems where the variables, instead of being finite dimensional as in ordinary calculus, are functions. This course treats the foundations of calculus of variations and gives examples on some (classical and modern) applications within physics and engineering science.

The Euler-Lagrange equation. The brachistochrone problem. The isoperimetric problem. Fermat's principle (geometric optics). Hamilton's principle (particle dynamics), Lagrange's and Hamilton's equations of motion, the Hamilton-Jacobi equation, the principle of least action. The Euler-Lagrange equation for several independent variables. Minimal surfaces. Vibrating strings and membranes, eigenfunction expansions and Sturm-Liouville theory. Quantum mechanics: the Schrödinger equation. Noether's theorem. The min-max principle.

Instruction

Lectures and problem solving sessions.

Assessment

Written examination at the end of the course (4 credits). Group assignments with oral presentations during the course (1hp).

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.