Matematik - System och transformer

Valid for: 2024/25

Faculty: Faculty of Engineering LTH

Decided by: PLED F/Pi

Date of Decision: 2024-04-15

Effective: 2024-05-08

Main field: Technology
Depth of study relative to the degree requirements: First cycle, in-depth level of the course cannot be classified

Mandatory for: E2, F2, I2, Pi2

Elective mandatory for: D2

Elective for: BME4, C4, M4, N3

Language of instruction: The course will be given in Swedish

The aim of the course is to present mathematical concepts and methods from linear algebra and analysis which are important in systems theory (continuous and discrete), 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 also to develop the student's ability to solve problems, to assimilate mathematical text and to communicate mathematics.

Knowledge and understanding

For a passing grade the student must

- be familiar with the significance of eigenvalues in the context of stability and resonance, in linear systems, with continuous as well as discrete time.
- be able to describe and use the concepts of linearity, time and space invariance, stability, causality, impulse response and transfer function, in continuous as well as discrete time.
- 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, continuous and discrete, and to use convolutions both in the context of linear, timeinvariant systems and in the description of certain types of integral equations.
- have some experience and understanding of mathematical and numerical software.

Competences and skills

For a passing grade the student must

- be able to demonstrate an ability to independently choose appropriate methods to solve systems of linear differential and difference equations, and to carry out the solution essentially correctly.
- be able to demonstrate an ability to use eigenvalue techniques, elementary distribution theory, function theory, Fourier and Laplace transforms and convolutions in problem solving within the theory of linear systems.
- in connection with problem solving, be able to demonstrate an ability to integrate knowledge from the different parts of the course.
- with proper terminology, in a well-structured manner and with clear logic be able to explain the solution to mathematical problems within the framework of the course.

Judgement and approach

For a passing grade the student must

*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. Transfer and frequency functions. Discrete systems.

*Fourier analysis*: The Laplace and Fourier transforms. Inversion formulae, the convolution theorem and Plancherel's theorem. Transform theory and analytic functions. Applications to differential equations and systems of differential equations.

Grading scale: TH - (U, 3, 4, 5) - (Fail, Three, Four, Five)

Assessment: Written test comprising theory and problems. Assignments, requiring work with and without computer, which have to be completed BEFORE the exam.

The examiner, in consultation with Disability Support Services, may deviate from the regular form of examination in order to provide a permanently disabled student with a form of examination equivalent to that of a student without a disability.

Modules

Code: 0116. Name: Systems and Transforms.

Credits: 7.0. Grading scale: TH - (U, 3, 4, 5).
Assessment: Written exam comprising theory and problems.

Code: 0216. Name: Assignments.

Credits: 0.0. Grading scale: UG - (U, G).
Assessment: Problems during the course on subjects that have been introduced recently. The aim is to help the student discover if they have missed or misunderstood central concepts.

Admission requirements:

- (FMAA01 Calculus in One Variable or FMAA05 Calculus in One Variable or FMAA50 Calculus or FMAB30 Calculus in Several Variables or FMAB35 Calculus in Several Variables or FMAB45 Calculus in One Variable A1 or FMAB50 Calculus in One Variable A2 or FMAB60 Calculus in One Variable A3 or FMAB65 Calculus in One Variable B1 or FMAB66 Calculus in One Variable Beta 1 or FMAB70 Calculus in One Variable B2)

and

(FMA420 Linear Algebra or FMA421 Linear Algebra with Scientific Computation or FMA656 Mathematics, Linear Algebra or FMAA20 Linear Algebra with Introduction to Computer Tools or FMAA21 Linear Algebra with Numerical Applications or FMAA55 Mathematics, Linear Algebra or FMAB20 Linear Algebra or FMAB22 Linear Algebra)

The number of participants is limited to: No

Kursen överlappar följande kurser: FMA030 FMA036 FMA062 FMA450 FMAF10

- Spanne, S: Lineära system. KF-Sigma, 1997.
- Spanne, S: Övningar i Lineära system. KF-Sigma, 2009.

Course coordinator: Studierektor Anders Holst,
Studierektor@math.lth.se

Course administrator: Studerandeexpeditionen,
expedition@math.lth.se

Course homepage: https://canvas.education.lu.se/courses/20449

Further information: In order for an exam to be graded it is necessary that the examinee has passed on the assignments before the exam.