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Our recent textbook Linear Algebra for Everyone starts with the idea of independent columns. This leads to a factorization A = CR where C contains those independent columns from A. The matrix R tells how to combine those columns of C to produce all columns of A. Then Section 3.2 explains how to solve Rx = 0. This gives the nullspace of A !!
Lecture Notes. The 14 lectures will cover the material as broken down below: 1-3: Linear Systems, Matrix Algebra. 3-4: Inverses and Transposes. 4-5: Vector Spaces and Subspaces. 6: Bases. 7: Dimension. 8: Dimension and Subspaces. 9-10: Linear Maps.
The book begins with systems of linear equations, then covers matrix algebra, before taking up finite-dimensional vector spaces in full generality. The final chapter covers matrix representations of linear transformations, through diagonalization, change of basis and Jordan canonical form.
FUNDAMENTALS OF LINEAR ALGEBRA James B. Carrell carrell@math.ubc.ca (July, 2005)
10 Ιουν 2015 · This text, originally by K. Kuttler, has been redesigned by the Lyryx editorial team as a first course in linear algebra for science and engineering students who have an understanding of basic algebra. All major topics of linear algebra are available in detail, as well as proofs of important theorems.
5 Δεκ 2018 · This text covers the standard material for a US undergraduate first course: linear systems and Gauss's Method, vector spaces, linear maps and matrices, determinants, and eigenvectors and eigenvalues, as well as additional topics such as introductions to various applications.
Part 1 : Basic Ideas of Linear Algebra. 1.1 Linear Combinations of Vectors. 1.2 Dot Products v · w and Lengths || v || and Angles θ. 1.3 Matrices Multiplying Vectors : A times x. 1.4 Column Space and Row Space of A. 1.5 Dependent and Independent Columns. 1.6 Matrix-Matrix Multiplication AB. 1.7 Factoring A into CR : Column rank = r = Row rank.
