SubjectsSubjects(version: 945)
Course, academic year 2016/2017
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Linear Algebra and Geometry 2 - NMAG102
Title: Lineární algebra a geometrie 2
Guaranteed by: Department of Algebra (32-KA)
Faculty: Faculty of Mathematics and Physics
Actual: from 2016 to 2016
Semester: summer
E-Credits: 8
Hours per week, examination: summer s.:4/2, C+Ex [HT]
Capacity: unlimited
Min. number of students: unlimited
4EU+: no
Virtual mobility / capacity: no
State of the course: taught
Language: Czech
Teaching methods: full-time
Teaching methods: full-time
Additional information: http://www.karlin.mff.cuni.cz/~tuma/
Guarantor: doc. Mgr. Libor Barto, Ph.D.
Class: M Bc. FM
M Bc. FM > Povinné
M Bc. FM > 1. ročník
M Bc. MMIB
M Bc. MMIB > Povinné
M Bc. MMIB > 1. ročník
M Bc. MMIT
M Bc. MMIT > Povinné
M Bc. OM
M Bc. OM > Povinné
M Bc. OM > 1. ročník
Classification: Mathematics > Algebra
Co-requisite : NMAG101
Incompatibility : NALG002
Interchangeability : NALG002
Is pre-requisite for: NMNM331
Is interchangeable with: NALG002
In complex pre-requisite: NMAG201, NMAG202, NMFM202, NMSA336
Annotation -
Last update: G_M (15.05.2012)
The second introductory lecture in linear algebra for General Mathematics, Financial Mathematics, and Information Security
Literature -
Last update: doc. Mgr. et Mgr. Jan Žemlička, Ph.D. (22.08.2012)

L. Bican, Lineární algebra a geometrie, Academia, Praha 2000.

J. Bečvář, Vektorové prostory I, II, III, SPN Praha 1978, 1981, 1982.

J. Bečvář, Sbírka úloh z lineární algebry, SPN Praha 1975.

L. Bican, Lineární algebra, SNTL Praha 1979.

L. Bican, Lineární algebra v úlohách, SPN Praha 1979.

C.D. Meyer, Matrix Analysis and Applied Linear Algebra, SIAM 2000.

T.S. Blyth, E.F. Robertson, Basic Linear Algebra, Springer Verlag London,2002,

S.H. Friedberg, A.J. Insel, L.E.Spence, Linear Algebra, Third Edition, Prentice-Hall, Inc., 1997

Syllabus -
Last update: doc. RNDr. Jiří Tůma, DrSc. (22.05.2017)
  • standard aand abstract scalar product, orthogonal basis, Gram-Schmidt orthogonalization,
  • ortogonal and unitary mappings and matrices, rotations (especially in 3D), group properties,
  • vlastní čísla a vlastní vektory, diagonalizovatelné operátory, Jordanův kanonický tvar,
  • unitary and orthogonal diagonalization, spectral theorems, singular value decomposition,
  • bilinear and quadratic forms, their matrix, orthogonalization, inertia theorem,
  • afine spaces, afine and metric classification of quadratic forms

 
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