This self-contained textbook, now in a thoroughly revised and expanded second edition, takes a matrix-oriented approach to Linear Algebra. It presents a complete theory, including all details and proofs, culminating in the Jordan canonical form and its derivation. Throughout, the book emphasizes the practical applicability of results. It therefore also covers special topics in Applied Linear Algebra, such as matrix functions, the singular value decomposition, the Kronecker product, and linear matrix equations. New to this edition are topics such as the Frobenius canonical form and a more detailed treatment of infinite-dimensional vector spaces, along with many additional exercises.
The books matrix-oriented approach enhances intuition and simplifies abstract concepts, making them easier to understand and to apply in real-world scenarios. Key applications are illustrated through detailed examples. Additionally, several "MATLAB Minutes" allow students to explore concepts and results through computational experiments, supported by a brief introduction to MATLAB fundamentals. Together with over 380 exercises, this encourages active engagement with the material.
Chapter
1. Linear Algebra in every day life.
Chapter
2. Basic
mathematical concepts.
Chapter
3. Algebraic structures.
Chapter
4.
Matrices.
Chapter
5. The echelon form and the rank of matrices.
Chapter
6.
Linear systems of equations.
Chapter
7. Determinants of matrices.
Chapter
8. The characteristic polynomial and eigenvalues of matrices.
Chapter
9.
Vector spaces.
Chapter
10. Linear maps.
Chapter
11. Linear forms and
bilinear forms.
Chapter
12. Euclidean and unitary vector spaces.
Chapter
13. Adjoints of linear maps.
Chapter
14. Eigenvalues of endomorphisms.-
Chapter
15. Polynomials and the Fundamental Theorem of Algebra.
Chapter
16.
Cyclic subspaces, duality and the Jordan canonical form.
Chapter
17. Matrix
functions and systems of differential equations.
Chapter
18. Special classes
of endomorphisms.
Chapter
19. The singular value decomposition.
Chapter
20.
The Kronecker product and linear matrix equations.
Jörg Liesen's research interests are in Numerical Linear Algebra, Matrix Theory, Constructive Approximation, and Computational Complex Analysis. A particular focus of his work is the convergence and stability analysis of iterative methods for solving large linear algebraic problems, which occur throughout science and engineering applications. He is also interested in the history of Mathematics, and in particular of Linear Algebra. He is the recipient of several prizes and awards for his mathematical work, including the Householder Award, the Emmy Noether Fellowship and the Heisenberg Professorship of the DFG. He likes to teach and pursue Mathematics as a lively subject, connecting theory with an ever-increasing variety of fascinating applications.
Volker Mehrmann's research interests are in Numerical Mathematics, Control Theory, Matrix Theory, Mathematical Modeling as well as Scientific Computing. In recent years he has focused on the development and analysis of numerical methods for nonlinear eigenvalue problems and differential-algebraic systems of port-Hamiltonian structure with applications in many fields such as mechanical systems, electronic circuit simulation and acoustic field computations. He is co-editor-in-chief of the journal Linear Algebra and its Applications and editor of many other journals in Linear Algebra and Numerical Analysis. He believes that Mathematics has become a central ingredient for the societal development of the 21st century and that mathematical methods play the key role in the modeling, simulation, control and optimization of all areas of technological development.
