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Course, academic year 2023/2024
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Linear Algebra II - NUMP004
Title: Lineární algebra II
Guaranteed by: Department of Mathematics Education (32-KDM)
Faculty: Faculty of Mathematics and Physics
Actual: from 2016
Semester: summer
E-Credits: 5
Hours per week, examination: summer s.:2/2, C+Ex [HT]
Capacity: unlimited
Min. number of students: unlimited
4EU+: no
Virtual mobility / capacity: no
State of the course: cancelled
Language: Czech
Teaching methods: full-time
Teaching methods: full-time
Guarantor: doc. RNDr. Jindřich Bečvář, CSc.
Classification: Mathematics > Algebra
Teaching > Mathematics
Incompatibility : NALG002, NALG086, NMAI058
Interchangeability : NALG002, NMUE025, NMUM104
Is incompatible with: NMAI045, NMAF032, NMUM104, NMUM804, NALG004, NALG003, NMAF012, NMUE025
Is interchangeable with: NMUE025, NMUM804, NMAF012, NMUM104, NMAF032
Annotation -
Last update: doc. RNDr. Jindřich Bečvář, CSc. (02.05.2005)
Determinants. Similarity, eigenvalues and eigenvectors, Jordan canonical form. Linear forms and dual space. Bilinear forms. Inner-product spaces, orthogonal transformations.
Literature -
Last update: BECVAR/MFF.CUNI.CZ (11.05.2008)

S. Lang: Linear Algebra, Addison-Wesley Publishing Company-Reading, 1966.

I. Satake: Linear Algebra, Marcel Dekker, Inc., New York, 1975.

S. Axler: Linear Algebra Done Right, Springer, New York, 1996.

Syllabus -
Last update: doc. RNDr. Jindřich Bečvář, CSc. (02.05.2005)

1. Determinants. Basic properties, determinat of a block matrix, the expansion of a determinant under a row and a column, the theorem on multiplication of determinants, adjugate matrix, inverse matrix, Cramer´s rule, rank of a matrix, calculation of determinants; examples.

2. Similarity, characteristic polynomial of a matrix, eigenvalues and eigenvectors, minimal polynomial of a matrix, Cayley-Hamilton theorem, similarity of matrices, simple Jordan matrix, Jordan matrix, the existence of the Jordan canonical form and the methods of evaluation, eigenvalues of symmetric matrix; examples.

3. Linear forms and dual space. Matrix and analytical expression of a linear form, dual space, dual basis; examples.

4. Bilinear forms. Matrix and analytical expression of a bilinear form, verteces, symmetrical and antisymmetrical forms, polar basis, quadratic forms, bilinear and quadratic form on real spaces, normal basis and normal expression, the law of inertia, signature, classification of forms; examples.

5. Unitary spaces. Scalar product, norm, Cauchy-Schwarz inequality, Triangle inequality, orthogonal and orthonormal basis, Gram-Schmidt orthogonalization, orthogonal transformations, orthogonal matrices; examples.

 
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