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Analysis of Matrices

Mátrixanalízis
A tantárgyleírás hatályossága
Hatályosság kezdete:
2026. March 21.
Hatályosság vége:
Subject name (Hungarian, English)
Mátrixanalízis
Analysis of Matrices
Subject code BMEVIMAD569
Subject type
Training Level
Course types and hours (weekly/semester)
Course type lecture tutorial laboratory
hours (weekly) 4 0 0
type (linked/independent)
Assessment type vizsga
Credits 5
Subject coordinator
Pach Péter Pál
Responsible department
Gépjárműtechnológia Tanszék
Faculty Közlekedésmérnöki és Járműmérnöki Kar
Subject website http://cs.bme.hu/~ppp/ma/index-en.html
Primary curriculum type
Direct prerequisites – Strong prerequisite none
Direct prerequisites – Weak prerequisite none
Direct prerequisites – Parallel prerequisite none
Direct prerequisites – Milestone prerequisite none
Direct prerequisites – Exclusion none

Objectives

Programme

 

1.    Special matrix products; Rank One Decomposition, linear combination of rank-one matrices

2.    Matrix inversion

3.    Rank of a matrix, minimal rank-one decomposition

4.    Rank theorems, equivalent transformations

5.    Sylvester’s law of nullity

6.    Special matrices and their inverse

7.    Inverse of a modified matrix

8.    Projections, theorems about projections

9.    Generalized inverse

10.  Theory of systems of linear equations and their solution

11.  Systems of linear equations with a quadratic coefficient matrix

12.  Linear transformations; bilinear and quadratic forms

13.  The eigenvalue problem of matrices

14.  Diagonalizable transformations; Hermitian and unitary transformations

15.  Spectral decomposition of matrices; unitarily diagonalizable matrices

16.  Cayley - Hamilton theorem and its refinement

17.  Matrix functions and reduction to matrix polynomials

18.  (Matrix-valued) Lagrange-polynomials and their properties

19.  Determining the Lagrange matrix polynomials with the help of the adjugate of the characteristic matrix

20.  Calculating matrix functions with Hermite matrix polynomials; non-diagonalizable matrices

21.  Properties of the Hermite matrix polynomials

22.  Transforming nilpotent matrices into Jordan normal form

23.  Canonical form of functions of nilpotent matrices

24.  Canonical form of matrix functions

25.  Theory of elementary divisors

26.  Application of matrix functions in the theory of systems of linear differential equations

27.   Solving linear systems of differential equations

The students get a deeper insight into the theory of linear algebra. There will be a special emphasis on matrix functions, Jordan normal form, and their application for solving systems of differential equations. This way we would like to deepen the student’s knowledge and understanding according to the demands of other subjects.

Learning outcomes

Ez a tantárgy a KKK rendeletben meghatározott, következő kompetenciák fejlesztését szolgálja:

Knowledge

No learning outcomes recorded.

Skills

No learning outcomes recorded.

Attitudes

No learning outcomes recorded.

Autonomy and responsibility

No learning outcomes recorded.

Oktatási módszertan

4 hours of lecture per week.

Tanulástámogató anyagok

Online források
Rózsa Pál: Lineáris algebra és alkalmazásai. 3. átdolgozott kiadás. Tankönyvkiadó, Budapest, 1991.; H. Golub – C.F. Van Loan: Matrix Computations, The John Hopkins University Press, 1989.

Recommended preliminary knowledge for completing the subject

Knowledge type competencies
(azon előzetes ismeretek összessége, amelyek megléte nem kötelező, de a tantárgy eredményes teljesítését nagyban elősegíti)
Linear algebra, mathematical analysis.
Skill type competencies
(azon előzetes képességek és készségek összessége, amelyek megléte nem kötelező, de a tantárgy eredményes teljesítését nagyban elősegíti)
nincs
Recommended (non-compulsory) preliminary competencies
(azon ajánlott (nem kötelező) előzetesen megszerzendő kompetenciák összessége, amelyek jelentősen hozzájárulnak a tantárgy eredményes teljesítéséhez)
Linear algebra, mathematical analysis.
General rules
Requirements: Signature: 1 homework. Final: oral exam.
Assessment methods
In-term assessments

No detailed assessments provided.

Weight of in-term assessments

No weights provided.

Exam-period assessments

No detailed assessments provided.

Weight of exam elements

No weights provided.

Grade calculation

No grade thresholds provided.

Attendance requirements

No attendance requirements provided.

Rules for retake and resubmission

Not provided.

Short description

Not provided.

Detailed description

Not provided.

Recommended courses
None.
Workload to complete the subject

No workload breakdown provided.

Validity of subject requirements
Requirements valid from:
Requirements valid until:
Curriculum placement

No curriculum placements recorded for this subject version.