This note covers the following topics: Vector Spaces, Bases, Linear
Maps, Matrices and Linear Maps, Direct Sums, Affine Maps, The Dual Space,
Duality, Gaussian Elimination, LU, Cholesky, Echelon Form, Determinants, Vector
Norms and Matrix Norms, Eigenvectors and Eigenvalues, Iterative Methods for
Solving Linear Systems, Euclidean Spaces, Hermitian Spaces, Spectral Theorems,
The Finite Elements Method, Singular Value Decomposition and Polar Form,
Applications of SVD and Pseudo-Inverses, Annihilating Polynomials, Differential
Calculus, Schur Complements and Applications, Linear Programming and Duality,
Hilbert Spaces, Soft Margin Support Vector Machines.
This note covers the following topics: Linear Algebra, Matrix Algebra,
Homogeneous Systems and Vector Subspaces, Basic Notions, Determinants and
Eigenvalues, Diagonalization, The Exponential of a Matrix, Applications,Real
Symmetric Matrices, Classification of Conics and Quadrics, Conics and the Method
of Lagrange Multipliers, Normal Modes.
The purpose with
these notes is to introduce students to the concept of proof in linear algebra
in a gentle manner. Topics covered includes: Matrices and Matrix Operations,
Linear Equations, Vector Spaces, Linear Transformations, Determinants, Eigenvalues and Eigenvectors, Linear Algebra and Geometry.
This textbook is suitable for a
sophomore level linear algebra course taught in about twenty-five lectures. It
is designed both for engineering and science majors, but has enough abstraction
to be useful for potential math majors. Our goal in writing it was to produce
students who can perform computations with linear systems and also understand
the concepts behind these computations.
Author(s): David Cherney,
Tom Denton, Rohit Thomas and Andrew Waldron
This book covers the following topics:
Basic concepts and notation, Tight lattices, Tame quotients, Abelian and
solvable algebras, The structure of minimal algebras, The types of tame
quotients, Labeled congruence lattices, Solvability and semi-distributivity,
Congruence modular varieties, Malcev classification and omitting types,
Residually small varieties, Decidable varieties, Free spectra, Tame algebras and
E-minimal algebras, Simple algebras in varieties.
This book is not a ”traditional” book in the sense that it does not include
any applications to the material discussed. Its aim is solely to learn the basic
theory of linear algebra within a semester period. Topics covered includes: Linear Systems, Matrices,
Determinants, The Theory of Vector Spaces, Eigenvalues and Diagonalization and
Linear Transformations.