PřF:M2110 Linear Algebra II - Course Information
M2110 Linear Algebra and Geometry II
Faculty of ScienceSpring 2023
- Extent and Intensity
- 2/2/0. 4 credit(s) (příf plus uk k 1 zk 2 plus 1 > 4). Recommended Type of Completion: zk (examination). Other types of completion: z (credit).
- Teacher(s)
- doc. RNDr. Martin Čadek, CSc. (lecturer)
prof. RNDr. Jan Paseka, CSc. (seminar tutor)
Mgr. Mária Šimková (seminar tutor)
doc. Mgr. Jan Koláček, Ph.D. (assistant)
doc. RNDr. Lenka Přibylová, Ph.D. (assistant)
Mgr. Richard Smolka (assistant) - Guaranteed by
- doc. RNDr. Martin Čadek, CSc.
Department of Mathematics and Statistics – Departments – Faculty of Science
Supplier department: Department of Mathematics and Statistics – Departments – Faculty of Science - Timetable
- Wed 12:00–13:50 A,01026
- Timetable of Seminar Groups:
M2110/02: Wed 14:00–15:50 M1,01017, M. Šimková
M2110/03: Mon 14:00–15:50 M1,01017, J. Paseka - Prerequisites
- M1110 Linear Algebra I || M1111 Linear Algebra I ||( FI:MB003 Linear Algebra and Geometry I )
Knowledege of basic notion of linear algebra is supposed. - Course Enrolment Limitations
- The course is also offered to the students of the fields other than those the course is directly associated with.
- fields of study / plans the course is directly associated with
- Biomedical bioinformatics (programme PřF, B-MBB)
- Epidemiology and modeling (programme PřF, B-MBB)
- Financial and Insurance Mathematics (programme PřF, B-MAT)
- Mathematical Biology (programme PřF, B-EXB)
- Modelling and computations (programme PřF, B-MAT)
- Mathematics (programme PřF, B-MAT)
- Statistics and data analysis (programme PřF, B-MAT)
- Course objectives
- The aim of this second course in linear algebra is to introduce other basic notions of linear algebra. Passing the course the students *will know affine spaces, bilinear and quadratic forms, eingenvalues and eigenvectors of linear operators, *they will be able to solve problems concerning the spaces with scalar product and properties of orthogonal and selfadjoint operators and *to find the Jordan canonical form.
- Learning outcomes
- Passing the course the students *will know affine spaces, bilinear and quadratic forms, eingenvalues and eigenvectors of linear operators, *they will be able to solve problems concerning the spaces with scalar product and properties of orthogonal and selfadjoint operators and *to find the Jordan canonical form.
- Syllabus
- Affine geometry: affine spaces and subspaces, affine geometry and affine mappings. Linear forms: dual space, dual basis, dual homomorphism. Bilinear and quadratic forms: definition, matrix with respect to given basis, diagonalization, signature. Euklidean geometry: orthogonal projection, distance and deviation of affine subspaces. Linear operators: invariant subspaces, eigenvalues and eigen vectors, charakteristic polynomial, algebraic and geometric multiplicity of eigenvalues, conditions for diagonalization. Linear models. Ortogonal and unitar operators: definition and basic properties, eigenvalues, geometric meaning. Self adjoint operators: adjoint operator, symmetric and hermitian matrices, spectral decomposition. Jordan canonical form: nilpotent endomorphisms, root subspaces, computations.
- Literature
- Zlatoš P.: Lineárna algebra a geometria, připravovaná skripta MFF Univerzity Komenského v Bratislavě, elektronicky dostupné na http://www.math.muni.cz/pub/math/people/Paseka/lectures/LA/
- Slovák, Jan. Lineární algebra. Učební texty. Brno:~Masarykova univerzita, 1998. 138. elektronicky dostupné na http://www.math.muni.cz/~slovak.
- Teaching methods
- Lectures and exercises (tutorials).
- Assessment methods
- Exam: written and oral. Requirements for the exam: to obtain 50% of points from 6 tests written during semester. Requirements: to manage the theory from the lecture, to be able to solve the problems similar to those from exercises
- Language of instruction
- Czech
- Follow-Up Courses
- Further comments (probably available only in Czech)
- Study Materials
Information on completion of the course: ukončení zápočtem možné pouze rozhodnutím učitele
The course is taught annually.
Credit evaluation note: 2 kr. zápočet. - Listed among pre-requisites of other courses
- Teacher's information
- http://www.math.muni.cz/~cadek
- Enrolment Statistics (Spring 2023, recent)
- Permalink: https://is.muni.cz/course/sci/spring2023/M2110