Skip to main content
Back to top
Ctrl
+
K
Linear algebra
Search
Ctrl
+
K
Front matter
Introduction
Graph of content
Main content
1. Vectors, lines and planes
1.1. Vectors
1.2. Dot product
1.3. Cross product
1.4. Lines and planes
2. Systems of linear equations, vector equations and matrix equations
2.1. Systems of linear equations
2.2. Linear combinations
2.3. The solution set of a system of linear equations
2.4. The matrix-vector product
\(A\vect{x}\)
2.5. Linear independence
3. Matrix operations
3.1. Linear transformations
3.2. Matrix operations
3.3. Some important classes of linear transformations
3.4. The inverse of a matrix
3.5. Injectivity, surjectivity, and bijectivity
3.6. The
\(LU\)
decomposition
4. Subspaces
4.1. Subspaces of
\(\R^n\)
4.2. Basis and dimension
4.3. Change of basis
5. Determinants
5.1. Determinants as areas or volumes
5.2. Determinants via cofactor expansion
5.3. Determinants via row reduction
5.4. Miscellaneous applications of determinants
6. Eigenvalues and eigenvectors
6.1. Definitions and examples
6.2. The characteristic polynomial
6.3. Diagonalisability
6.4. Complex eigenvalues and eigenvectors
7. Orthogonality
7.1. Orthogonal complements
7.2. Orthogonal and orthonormal bases
7.3. The Gram-Schmidt process
7.4. least-squares solutions
8. Symmetric matrices
8.1. Symmetric matrices
8.2. Quadratic forms
8.3. Singular value decomposition
9. Dynamical systems
9.1. Discrete dynamical systems
9.2. Markov chains
9.3. The power method
9.4. Continuous dynamical systems
Appendices
10. Complex numbers
11. The inverse matrix theorem
Back matter
Index
Acknowledgements
.md
.pdf
Linear algebra
Linear algebra
#
