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Linear algebra 2

Code: 21515
ECTS: 9.0
Lecturers in charge: prof. dr. sc. Ljiljana Arambašić
prof. dr. sc. Damir Bakić
Lecturers: doc. dr. sc. Igor Ciganović - Exercises
Matko Grbac , mag. math. - Exercises
doc. dr. sc. Marko Radulović - Exercises
English level:


All teaching activities will be held in Croatian. However, foreign students in mixed groups will have the opportunity to attend additional office hours with the lecturer and teaching assistants in English to help master the course materials. Additionally, the lecturer will refer foreign students to the corresponding literature in English, as well as give them the possibility of taking the associated exams in English.

1. komponenta

Lecture typeTotal
Lectures 45
Exercises 60
* Load is given in academic hour (1 academic hour = 45 minutes)
COURSE AIMS AND OBJECTIVES: Introduction to the theory of linear operators on finite dimensional vector spaces. Basic notions on the theory in unitary spcaes.

1. Linear operators in applications. Examples. Matrix representation of linear operator.
2. Image and null--space of linear operators. Rank. Injective operators. Isomorphism.
3. Space of linear operators L(V,W). Operator algebra L(V). Dimension of the space of operators. Dual space and dual basis. Linear functionals.
4. Matrix representation of linear operators. Rank of the matrix. Change of basis. Similar matrices. Invariants.
5. Eigenvalues and eigenvectors. Examples. Cgaracteristic polynomial. Gershgorin circles.
6. Invariant subspaces. Multiplicities of the eigenvalues. Diagonal and triangular form (Shur theorem). Hamilton-Cayley theorem. Minimal polynomial. Regular operators. Nilpotent operators. Jordan normal form.
7. Unitary spaces. Cauchy-Schwarz inequality. Norm. Orthonormal bases.
8. Gram-Schmidt orthogonalization. Orthogonal projection. Least squares approximations.
9. Riesz theorem. Adjoint operator and its matrix representation.
10. Hermitian operators. Unitary operators. Normal operators. Diagonalization of normal operators.
11. Symmetric operators and correspondig quadratic forms.
Prerequisit for:
Enrollment :
Attended : Linear algebra 1

Examination :
Passed : Linear algebra 1
2. semester
Mandatory course - Regular study - Mathematics
Consultations schedule:


Link to the course (former) web page: https://web.math.pmf.unizg.hr/nastava/la2/

Link to the notices web page: http://www.pmf.unizg.hr/math/predmet/linalg2