Matrix Analysis, 6 credits

Matrisanalys, 6 hp

TATB10

Main field of study

Mathematics Applied Mathematics

Course level

Second cycle

Course type

Programme course

Education components

Preliminary scheduled hours: 36 h
Recommended self-study hours: 124 h

Available for exchange students

Yes
ECV = Elective / Compulsory / Voluntary
Course offered for Semester Period Timetable module Language Campus ECV
6CYYI Applied Physics and Electrical Engineering - International, Master of Science in Engineering, French 9 (Autumn 2026) 1, 2 1, 3 English Linköping, Valla E
6CYYI Applied Physics and Electrical Engineering - International, Master of Science in Engineering, German 9 (Autumn 2026) 1, 2 1, 3 English Linköping, Valla E
6CYYI Applied Physics and Electrical Engineering - International, Master of Science in Engineering, Japanese 9 (Autumn 2026) 1, 2 1, 3 English Linköping, Valla E
6CYYI Applied Physics and Electrical Engineering - International, Master of Science in Engineering, Spanish 9 (Autumn 2026) 1, 2 1, 3 English Linköping, Valla E
6CYYY Applied Physics and Electrical Engineering, Master of Science in Engineering 9 (Autumn 2026) 1, 2 1, 3 English Linköping, Valla E
6CTMA Engineering Mathematics, Master of Science in Engineering (Master Profile in Computational Mathematics and Analysis) 9 (Autumn 2026) 1, 2 1, 3 English Linköping, Valla E
6MMAT Mathematics, Master's Programme 3 (Autumn 2026) 1, 2 1, 3 English Linköping, Valla E

Main field of study

Mathematics, Applied Mathematics

Course level

Second cycle

Advancement level

A1F

Course offered for

  • Master of Science in Engineering Mathematics
  • Master of Science in Applied Physics and Electrical Engineering - International
  • Master of Science in Applied Physics and Electrical Engineering
  • Master's Programme in Mathematics

Prerequisites

Linear Algebra, Honours Course or similar

Intended learning outcomes

After completing the course the student should be able to communicate, apply, model, analyze and solve problems by using the concepts and methods  described in the course content.

Course content

Properties of matrix rank. Block matrices and Schur complement. Special matrices: Toeplitz, circulant, Vandermonde, Hankel, and Hessenberg matrices.  Companion matrices. Real and complex canonical forms. Vector and matrix norms. 

Eigenvalues: location, inequalities, perturbations, variational characterization. 

Singular values: inequalities, variational characterization, low rank approximation for unitarily invariant norms. 

Functions of matrices, power series. Matrix products: Kronecker, Hadamard and Khatri-Rao products. Linear and nonlinear matrix equations. Matrices of functions, matrix calculus and differentiation. 

Multilinear algebra: rank, decomposition and approximation of tensors. 

Teaching and working methods

Lectures and seminars with student presentations

Examination

UPG1Assignments and projects6 creditsU, 3, 4, 5

UPG1 also includes oral and written presentations

Grades

Four-grade scale, LiU, U, 3, 4, 5

Department

Matematiska institutionen

Course literature

Books

  • Horn, Roger A., Johnson, Charles R., (2013) Matrix analysis. 2. ed. Cambridge ; New York : Cambridge University Press, 2013
    ISBN: 9780521839402, 9780521548236
Code Name Scope Grading scale
UPG1 Assignments and projects 6 credits U, 3, 4, 5

UPG1 also includes oral and written presentations

Books

Horn, Roger A., Johnson, Charles R., (2013) Matrix analysis. 2. ed. Cambridge ; New York : Cambridge University Press, 2013

ISBN: 9780521839402, 9780521548236

Note: The course matrix might contain more information in Swedish.

I = Introduce, U = Teach, A = Utilize
I U A Modules Comment
1. DISCIPLINARY KNOWLEDGE AND REASONING
1.1 Knowledge of underlying mathematics and science (courses on G1X-level)

                            
1.2 Fundamental engineering knowledge (courses on G1X-level)

                            
1.3 Further knowledge, methods and tools in any of : mathematics, natural sciences, engineering (courses at G2X level)
X
Linear Algebra Intermediate Course/Upper Course
1.4 Advanced knowledge, methods and tools in any of: mathematics, natural sciences, engineering (courses at A1X level)
X
UPG1
Matrix theory for modeling in technology and science, especially data analysis and AI
1.5 Insight into current research and development work
X
X
Insight into current research
2. PERSONAL AND PROFESSIONAL SKILLS AND ATTRIBUTES
2.1 Analytical reasoning and problem solving
X
X
UPG1
Application of theory to problem formulation, modeling and choice of solution methods.
2.2 Experimentation, investigation, and knowledge discovery
X

                            
2.3 System thinking
X

                            
2.4 Attitudes, thought, and learning
X
X
UPG1
Creative and critical thinking, lifelong learning.
2.5 Ethics, equity, and other responsibilities

                            
3. INTERPERSONAL SKILLS: TEAMWORK AND COMMUNICATION
3.1 Teamwork

                            
3.2 Communications
X
UPG1
Oral and written presentations of projects
3.3 Communication in foreign languages
X
Course language English
4. CONCEIVING, DESIGNING, IMPLEMENTING AND OPERATING SYSTEMS IN THE ENTERPRISE, SOCIETAL AND ENVIRONMENTAL CONTEXT
4.1 Societal conditions, including economically, socially and ecologically sustainable development

                            
4.2 Enterprise and business context

                            
4.3 Conceiving, system engineering and management

                            
4.4 Designing

                            
4.5 Implementing

                            
4.6 Operating

                            
5. PLANNING, EXECUTION AND PRESENTATION OF RESEARCH DEVELOPMENT PROJECTS WITH RESPECT TO SCIENTIFIC AND SOCIETAL NEEDS AND REQUIREMENTS
5.1 Societal conditions, including economically, socially and ecologically sustainable development within research or development projects

                            
5.2 Economic conditions for research or development projects

                            
5.3 Identification of needs, structuring and planning of research or development projects

                            
5.4 Execution of research or development projects

                            
5.5 Presentation and evaluation of research or development projects

                            

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