Engelska

Varje hösttermin

The main aim of the course is to convey knowledge about concepts and methods from matrix theory and linear algebra which are important in applications within many subjects in technology, science and economy, and familiarity with their use. In addition, the course should develop the student's ability in general to assimilate and communicate mathematical theory and to solve problems. Furthermore, the course should strengthen the phd student's ability in mathematical programming.

Matrices and determinants. Linear spaces. Spectral theory.The Jordan normal form. Matrix factorizations. Matrix polynomials and matrix functions. Norms. Scalar products. Singular values. Normal matrices. Quadratic and Hermitian forms. The Least Squares method and pseudo inverses. Non-negative matrices. Some important inequalities.

independently be able to characterize and use different types of matrix factorizations.

be able to understand and independently explain the theory of matrix functions, in particular polynomials, and its connection to the Jordan normal form.

be able to describe different types of vector and matrix norms, and to compute or estimate them as well with as without computer support.

be able to state the common classes of normal matrices and their properties.

be able to account for the main results in the theory of non-negative matrices, and be able to describe applications of them.

with access to literature be able to integrate methods and approaches from the different parts of the course in order to solve problems and answer questions within the framework of the course.

with access to literature be able to write Matlab or Python programs for the solution of mathematical problems within the framework of the course.

orally and in writing, with clear logic and with proper terminology be able to explain the solution to a mathematical problem within the framework of the course.

with access to the resources of a library be able to independently assimilate and sum up the contents of a text in technology in which matrix theoretical methods are used.

Föreläsningar

övningar

Muntlig tentamen

Inlämningsuppgifter

Take-home exam followed by an oral examination.

Underkänd, godkänd

FMAB20 Linear algebra or FMAB22 Linear algebra.

FMAF05 Systems and Transforms or FMAF10 Applied Mathematics -- Linear systems.

math-vuf & math-aho: Matrix Theory. Studentlitteratur, 2014. ISBN 9789144100968.

FMAN71F

2025-01-29

Maria Sandsten