(Created 2008-07-17.)
 APPLIED MATHEMATICS - LINEAR SYSTEMS FMAF10

Higher education credits: 5. Grading scale: TH. Level: G2 (First level). Language of instruction: The course will be given in Swedish. FMAF10 overlap following cours/es: FMA062. Compulsory for: D2. Optional for: C4, C4sst. Course coordinator: Director of Studies Lars-Christer Böiers, Matematik. Recommended prerequisits: Basic university studies in calculus and linear algebra. Assessment: Written test. Computer work. Home page: http://www.maths.lth.se/matematiklth/vitahyllan/vitahyllan.html.

Aim
The aim of the course is to treat such mathematical concepts and methods above the basic level that are important for further studies within e.g. mechanics, solid mechanics, control theory, electrical engineering and for further professional activities.

Knowledge and understanding
For a passing grade the student must

be familiar with and be able to describe the different properties of linear systems, and how they can be modelled in the time domain and in the frequency domain.

be familiar with the Laplace transform and its significance in connection with input/output relations and solving differential equations, and be well versed in handling simple transform tables.

have good knowledge of such matrix algebra which is the foundation of eigenvalue problems and of solving systems of differential equations.

Skills and abilities
For a passing grade the student must

be able to show capability to identify problems which can be modelled with the concepts introduced.

be able to show ability to use the concepts in connection with problem solving.

with proper terminology, suitable notation, well structured and with clear logic be able to explain the solution to a problem.

Contents
Linear systems: Mathematical models of linear, time invariant systems. Transfer function. Step response and impulse response. The frequency function.

The Laplace transform: Step and impulse functions. Computational rules for the two-sided Laplace transform. Inverse transforms, in particular of rational functions. Use of transform tables. Convolution.

Matrix algebra: Eigenvalues and eigenvectors. Diagonalization, in particular of symmetric matrices. Quadratic forms, diagonalization and classification. Systems of differential equations: solution by diagonalization, solution using exponential matrix.

Literature
Spanne, S. & Sparr, A.: Föreläsningar i Tillämpad matematik, Lineära system. KF-Sigma.