LINEAR ANALYSIS FMA036

Higher education credits: 7,5. Grading scale: TH. Level: G2 (First level). Language of instruction: The course will be given in Swedish. FMA036 overlap following cours/es: FMA035, FMA014, FMA018, FMA030, FMA035, FMA062, FMA450, FMA014, FMA018, FMA030, FMA035, FMA062 och FMA450. Compulsory for: E2, F2. Optional for: C3, C3sst, D2, M2, N3, V4. Course coordinator: Director of Studies Lars-Christer Böiers, Lars_Christer.Boiers@math.lth.se, Matematik. Recommended prerequisits: FMA037 Complex Analysis. Assessment: Written test comprising theory and problem solving. Computer work. Home page: http://www.maths.lth.se/matematiklth/vitahyllan/vitahyllan.html.

Aim
The aim of the course is to present mathematical concepts and methods from linear algebra and analysis which are important in systems theory and for further studies within e.g. mathematics, economy, physics, mathematical statistics, mechanics, control theory, signal theory and for future professional work. The aim is furthermore to develop the students' ability to solve problems and to assimilate mathematical text.

Knowledge and understanding
For a passing grade the student must

be familiar with the significance of eigenvalues in the context of stability and resonance.

be able to describe and use the concepts of linearity, time and space invariance, stability, causality, impulse response and transfer function.

be able to describe the structure of an exponential matrix, and be able to compute exponential matrices in simple cases.

be able to characterize different types of quadratic forms using eigenvalue methods and via a completion of squares.

be able to define the concept of convolution and to use convolutions in the context of systems and in the description of certain types of integral equations.

have some experience and understanding of mathematical and numerical software.

Skills and abilities
For a passing grade the student must

be able to show capability independently to choose appropriate methods to solve systems of linear differential equations, and to carry out the solution essentially correct.

be able to show capability to use eigenvalue techniques, elementary distribution theory, Fourier and Laplace transforms and convolutions in problem solving within the theory of linear systems.

in connection with problem solving be able to show capability to integrate knowledge from the different parts of the course.

with proper terminology, in a well structured way and with clear logic be able to explain the solution to mathematical problems in the course.

Contents
Linear algebra: Spectral theory. Quadratic forms.

Systems of linear differential equations: Equations in state form. Solution via diagonalization. Stability. Stationary solutions and transients. Solution via exponential matrix.

Input/output relations: Linearity, time and space invariance, stability, causality. Convolutions. Elementary distribution theory (the delta function). Transfer and frequency function.

Fourier analysis: The Laplace and Fourier transforms. Inversion formulae, the convolution theorem and Parseval's formula. Applications in differential equations and systems of differential equations.

Literature
Spanne, S: Lineära system. KF-Sigma 1997.