Matematik - System och transformer
Mathematics - Systems and Transforms
FMAF05, 7 credits, G2 (First Cycle)
Valid for: 2022/23
Faculty: Faculty of Engineering, LTH
Decided by: PLED F/Pi
Date of Decision: 2022-04-20
Main field: Technology.
Compulsory for: E2, F2, I2, Pi2
Elective Compulsory 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
- have some experience and understanding of mathematical and
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
- 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
- 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.
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
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.
Code: 0116. Name: Systems and Transforms.
Credits: 7. Grading scale: TH.
Code: 0216. Name: Assignments.
Credits: 0. Grading scale: UG.
- 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 FMAB70 Calculus in One Variable B2
- 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
Assumed prior knowledge: FMAF01 Analytic functions.
The number of participants is limited to: No
The course overlaps following course/s: FMA030, FMA036, FMA062, FMA450, FMAF10
- Spanne, S: Lineära system. KF-Sigma, 1997.
- Spanne, S: Övningar i Lineära system. KF-Sigma, 2009.
Contact and other information
Course coordinator: Studierektor Anders Holst, Studierektor@math.lth.se
Course administrator: Studerandeexpeditionen, firstname.lastname@example.org
Course homepage: http://www.maths.lth.se/course/sot/
Further information: In order for an exam to be graded it is necessary that the examinee has passed on the assignments before the exam.