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- Linear Equations in Linear Algebra
- Systems of Linear Equations
- Row Reduction and Echelon Form
- Vector Equations
- The Matrix Equation Ax->=b->
- Solution Sets of Linear Systems
- Applications of Linear Systems
- Linear Independence
- Introduction to Linear Transformations
- The Matrix of a Linear Transformation
- Matrix Algebra
- Matrix Operations
- The Inverse of a Matrix
- Characterizations of Invertible Matrices
- Subspaces of Rn
- Dimension and Rank
- Determinants
- Introduction to Determinants
- Properties of Determinants
- Cramer's Rule, Volume, and Linear Transformations
- Eigenvalues and Eigenvectors
- Eigenvalues and Eigenvectors
- The Characteristic Equation
- Diagonalization
- Eigenvalues and Linear Transformations
- Complex Eigenvalues
- Discrete Dynamical Systems
- Vector Spaces
- Vector Spaces and Subspaces
- Null Spaces, Column Spaces, and Linear Transformations
- Linearly Independent Sets; Bases
- Coordinate Systems
- The Dimension of a Vector Space
- Rank
- Change of Basis
- Applications to Difference Equations
- Applications to Markov Chains
- Orthogonality and Least Squares
- Inner Products Length, and Orthogonality
- Orthogonal Sets
- Orthogonal Projections
- The Gram-Schmidt Process
- Least-Squares Problem
- Inner Product Spaces
- Symmetric Matrices and Quadratic Forms
- Diagonalization of Symmetric Matrices
- Quadratic Forms
- The Singular Value Decomposition
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