Table of Contents
Lecture 1: What is Linear Algebra?
Lecture 2: Gaussian Elimination
Section 2.1: Notation for Linear Systems
Section 2.2: Reduced Row Echelon Form
Lecture 3: Elementary Row Operations
Lecture 4: Solution Sets for Systems of Linear Equations
Section 4.1: Non-Leading Variables
Lecture 5: Vectors in Space, n-Vectors
Section 5.1: Directions and Magnitudes
Lecture 6: Vector Spaces
Lecture 7: Linear Transformations
Lecture 8: Matrices
Lecture 9: Properties of Matrices
Section 9.1: Block Matrices
Section 9.2: The Algebra of Square Matrices
Lecture 10: Inverse Matrix
Section 10.1: Three Properties of the Inverse
Section 10.2: Finding Inverses
Section 10.3: Linear Systems and Inverses
Section 10.4: Homogeneous Systems
Section 10.5: Bit Matrices
Lecture 11: LU Decomposition
Section 11.1: Using LU Decomposition to Solve Linear Systems
Section 11.2: Finding an LU Decomposition
Section 11.3: Block LU Decomposition
Lecture 12: Elementary Matrices and Determinants
Section 12.1: Permutations
Section 12.2: Elementary Matrices
Lecture 13: Elementary Matrices and Determinants II
Lecture 14: Properties of the Determinant
Section 14.1: Determinant of the Inverse
Section 14.2: Adjoint of a Matrix
Section 14.3: Application: Volume of a Parallelepiped
Lecture 15: Subspaces and Spanning Sets
Section 15.1: Subspaces
Section 15.2: Building Subspaces
Lecture 16: Linear Independence
Lecture 17: Basis and Dimension
Section 17.1: Bases in Rn
Lecture 18: Eigenvalues and Eigenvectors
Section 18.1: Invariant Directions
Lecture 19: Eigenvalues and Eigenvectors II
Section 19.1: Eigenspaces
Lecture 20: Diagonalization
Section 20.1: Matrix of a Linear Transformation
Section 20.2: Diagonalization
Section 20.3: Change of Basis
Lecture 21: Orthonormal Bases
Section 21.1: Relating Orthonormal Bases
Lecture 22: Gram-Schmidt and Orthogonal Complements
Section 22.1: Orthogonal Complements
Lecture 23: Diagonalizing Symmetric Matrices
Lecture 24: Kernel, Range, Nullity, Rank
Section 24.1: Summary
Lecture 25: Least Squares
Appendix A: Sample Midterm I Problems and Solutions
Appendix B: Sample Midterm II Problems and Solutions
Appendix C: Sample Final Problems and Solutions
Index