Enrolment into the first year of the program.

Positively graded exercises are necessary for

the admittion to the theoretical part of the exam.

2022/2023

Programme:

Physics, First Cycle

Orientation:

Educational Physics

Year:

1 year

Semester:

second

Kind:

mandatory

ECTS:

7

Language:

slovenian

Course director:

Hours per week – 2. semester:

Lectures

4

Seminar

0

Tutorial

2

Lab

0

Prerequisites

Enrolment into the first year of the program.

Positively graded exercises are necessary for

the admittion to the theoretical part of the exam.

Content (Syllabus outline)

Vector spaces: linear dependence, basis, dimension, subspaces.

Inner product spaces: orthogonality, orthonormal basis, orthogonal complements, Gram-Schmidt orthogonalization

Matrices: operations with matrices, transpose matrix, square matrices, invertible matrices, Gauss elimination, systems of linear equations, the row canonical form, rang, inverse.

Determinants: properties, computation by expansion over rows or columns, determinant of the product of matrices, Cramer’s rule.

Linear operators: matrix of a linear operator,

eigenvalues and eigenvectors, characteristic and minimal polynomial, diagonalizability,

Cayley-Hamilton theorem, invariant subspaces.

Operators on inner product spaces: the adjoint,

unitary, self-adjoint and positive operators,

diagonalization of selfadjoint operators.

Bilinear and quadratic forms: canonical form for linear and for orthogonal transformations, quadratic surfaces.

Metric spaces: open and closed sets, interior,

closure and boundary, limit points, compactness, compactness in euclidean spaces, continuous maps.

Vector functions of several variables:

differentiability and the Jacobian, the chain rule, extrema, Hessian, the inverse and the implicit function theorem, constrained extrema and Lagrange multipliers.

Readings

S. I. Grossman, Elementary linear algebra. Saunders College Publishing, Orlando, 1991.

P. R. Halmos, Finite-dimensional vector spaces. Springer-Verlag, New York-Heidelberg, 1974.

F. Križanič, Temelji realne matematične analize. Državna založba Slovenije, Ljubljana, 1990.

F. Križanič, Linearna algebra in linearna analiza. Državna založba Slovenije, Ljubljana, 1993.

D. C. Lay, Linear algebra and its applications. Addison-Wesley, Reading, 1997.

B. Magajna, Linearna algebra, metrični prostor in funkcije več spremenljivk, DMFA, Ljubljana, 2011.

M. Dobovišek, B. Magajna in D. Kobal, Naloge iz algebre I, DMFA, Ljubljana, 2011.

M. H. Protter, C. B. Morrey, Intermediate Calculus. Springer-Verlag, New York-Heidelberg, 1985.

I. Vidav, Višja matematika I. Društvo matematikov, fizikov in astronomov Slovenije, Ljubljana, 1994.

Objectives and competences

Objectives: to familiarize students with basic concepts of linear algebra, metric spaces and with the derivative of a vector function in several variables.

Competences: students should be able to apply the methods of linear algebra and calculus in several varibles to problems in physics.

Intended learning outcomes

Knowledge and understanding: understanding of basic concepts and definitions.

Application: there are numerous applications of linear algebra and several variable calculus to physics (and other disciplines)

Reflection: this part of mathematics is basic for understanding classical and modern physics.

Transferable skills: ability to apply mathematical methods. Identification of problems and critical analysis.

Learning and teaching methods

Lectures and exercises.

Positively graded exercises are the condition for admittance to the theoretical part of the exame.

Assessment

Written exam or two midterm exams.

Theoretical exam, homework (optional).

grading: 5 (fail), 6-10 (pass) (according to the Statute of UL)

Lecturer's references

prof. dr. P.Legiša:

1. P.Legiša, Adjacency preserving mappings on real symmetric

matrices, Math. commun.,

Croat. Math. Soc., Divis. Osijek, 2011, vol. 16, no. 2, 419-432.

2. P.Legiša, Automorphisms of Mn, partially ordered by the star

order, Linear multilinear

algebra, 2006, vol. 54, no. 3, 157-188.

3. P.Legiša, Automorphisms of Mn, partially ordered by rank

subtractivity ordering, Linear

algebra appl. 2004, vol. 389, 147-158.

prof. dr. Bojan Magajna:

1. B. Magajna, Linearna algebra, metrični prostor in funkcije več

spremenljivk, DMFA,

Ljubljana, 2011 (247 strani).

2. B. Magajna, Fixed points of normal completely positive maps on

B(H), J. Math. Anal. Appl. 389 (2012) 1291--1302.

3. B. Magajna, The Haagerup norm on the tensor product of operator

48

modules, J. Funct.

Anal 129 (1995) 325—348.

prof. dr. J. Mrčun:

1. I. Moerdijk, J. Mrčun, On the developability of Lie subalgebroid,

Adv. Math. 210 (2007),

1--21.

2. J. Mrčun, On isomorphisms of algebras of smooth functions, Proc.

Amer. Math. Soc. 133

(2005), 3109--3113.

3. I. Moerdijk, J. Mrčun, On integrability of infinitesimal actions,

Amer. J. Math. 124

(2002), 567--593.