Course: Linear Algebra II

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Course title Linear Algebra II
Course code KAG/DLA2A
Organizational form of instruction Lecture + Exercise
Level of course Bachelor
Year of study not specified
Semester Summer
Number of ECTS credits 6
Language of instruction Czech, English
Status of course unspecified
Form of instruction Face-to-face
Work placements This is not an internship
Recommended optional programme components None
Lecturer(s)
  • Jukl Marek, doc. RNDr. Ph.D.
Course content
1. Euclidean vector space, orthogonality of subspaces, orthonormal bases 2. Angle and distance of subspaces of Euclidean vector spaces, external product, orthogonal product. Aplications in geometry and theory of systems of linear equations 3. Homomorphisms of vector spaces, authomorphisms, projection operator 4. Orthogonal projection operator, orthogonal homomorphism, isomorphism of Euclidean vector spaces. 5. Factor vector spaces. 6. Dual vector spaces. 7. Endomorphisms, ring and linear algebra of endomorphisms. 8. Similarity of square matrices. 9. Minimal and characteristic polynomials of endomorphisms and of matrices. 10. Invariant subspaces of endomorphism. Subspaces associated with eigenvalues of endomorphism 11. Root spaces of endomorphism 12. Invariant subspaces of matrices, Subspaces associated with eigenvalues of matrices, Root subspacves of matrices.

Learning activities and teaching methods
Monologic Lecture(Interpretation, Training), Dialogic Lecture (Discussion, Dialog, Brainstorming), Demonstration
Learning outcomes
Understand homomorphisms of vector spaces and Euclidean spaces. Understand also theory of linear operators on vector spaces.
1. Knowledge Students describe and define basic elements and relations in linear algebra of euclidean spaces and linear operator theory.
Prerequisites
unspecified

Assessment methods and criteria
Oral exam, Written exam, Student performance

Credit: The student has to participate in seminars actively and has to pass a written test. Exam: The student has to understand the subject and be able to prove the principal results. The student has to be able to solve problems.
Recommended literature
  • Bican L. (1979). Lineární algebra. SNTL Praha.
  • Gantmacher F. R. (1988). Teorija matric. Moskva.
  • Hefferon J. (2017). Linear algebra. Colchester.
  • Jukl M. (2013). Lekce z lineární algebry. UP Olomouc.
  • Jukl M. (2010). Lineární algebra: Homomorfismy a Euklidovské vektorové prostory. VUP Oomouc.
  • Jukl M. (2001). Lineární operátory. VUP Olomouc.


Study plans that include the course
Faculty Study plan (Version) Category of Branch/Specialization Recommended year of study Recommended semester