Logo ČVUT
CZECH TECHNICAL UNIVERSITY IN PRAGUE
STUDY PLANS
2018/2019

Linear Algebra A2

Login to KOS for course enrollment Display time-table
Code Completion Credits Range Language
01LAA2 Z,ZK 6 2+2 Czech
Grading of the course requires grading of the following courses:
Linear Algebra 1 (01LA1)
Lecturer:
Lubomíra Dvořáková (guarantor)
Tutor:
Lubomíra Dvořáková (guarantor), David Krejčiřík, Martin Malachov, Jiří Minarčík
Supervisor:
Department of Mathematics
Synopsis:

The subject is devoted to the theory of linear operators on vector spaces (mainly equipped with scalar product). In the same time we introduce the corresponding matrix theory.

Requirements:

Having passed the subject LAP.

Syllabus of lectures:

Inverse matrix and operator. Permutation and determinant. Spectral theory (eigenvalue, eigenvector, diagonalization). Hermitian and quadratic forms. Scalar product and orthogonality. Metric geometry. Riesz theorem and adjoint operator.

Syllabus of tutorials:

1. Gauss method of determination of inverse matrix. 2. Different methods of determinant calculation. 3. Evaluation of eigenvalues and eigenvectors, diagonalization. 4. Canonical transformation of a quadratic form, determination of character of the form and signature. 5. Examples of scalar products, Gram-Schmidt orthogonalization, orthonormal basis. 6. Metric geometry -- calculation of distance and angles.

7. Riesz theorem and adjoint operator. Characterization of normal operators and their spectrum.

Study Objective:

Knowledge: Mastering of the concepts of theory of linear operators and matrices, especially in spaces equiped with a scalar product, and applications of linear algebra in metric geometry.

Skills:

Ability to use these findings in further studies not only in mathematical disciplines, but also in physics, economics etc.

Study materials:

Key references:

[1] Linear Algebra with Applications, Prentice-Hall, Inc., Englewood Cliffs, New Jersey,1980

[2] C. W. Curtis : Linear Algebra, An Introductory Approach, Springer-Verlag, New York, Berlin, Heidelberg, Tokyo 1984.

Recommended references:

[3] P. Lancaster : Theory of Matrices, Academic Press, New York, London, 1969.

Note:
Further information:
http://kmlinux.fjfi.cvut.cz/~balkolub/vyuka.html
Time-table for winter semester 2018/2019:
Time-table is not available yet
Time-table for summer semester 2018/2019:
Time-table is not available yet
The course is a part of the following study plans:
Data valid to 2019-06-20
For updated information see http://bilakniha.cvut.cz/en/predmet24958605.html