Math 2890 Sample Exam Problems
These problems are designed to be worked while online. They require javascript to be enabled.
Chapter and section numbers are from Linear Algebra and its applications (4/e) by David C. Lay.
Chapter 1
- Systems of Linear Equations
- Row Reduction and Echelon Forms
- Vector Equations
- The Matrix Equation Ax = b
- Solution Sets of Linear Systems
- Linear Independence
- Introduction to Linear Transformations
Chapter 2
- Matrix Operations
- The Inverse of a Matrix
- Characterizations of Invertible Matrices
- Partitioned Matrices
- Matrix Factorizations
Wedderburn Rank Reduction
- Applications to Computer Graphics
- Subspaces of `R^n`
- Dimension and Rank
Chapter 3
- Introduction to Determinants
- Properties of Determinants
- Cramer’s Rule, Volume, and Linear Transformations
Chapter 4
- Applications to Difference Equations
- Applications to Markov Chains
Chapter 5
- Eigenvectors and Eigenvalues
- The Characteristic Equation
- Diagonalization
- Complex Eigenvalues
- Discrete Dynamical Systems
- Applications to Differential Equations
- Iterative Estimates for Eigenvalues
Chapter 6
- Inner Product, Length, and Orthogonality
- Orthogonal Sets
- Orthogonal Projections
- The Gram-Schmidt Process
Wedderburn Rank Reduction - Least-Squares Problems
- Applications to Linear Models
Chapter 7
- Diagonalization of Symmetric Matrices
Schur Decomposition - Quadratic Forms
- Constrained Optimization
- The Singular Value Decomposition
- Applications to Image Processing and Statistics
The Great Human Diasporas
Text Retrieval Algorithms
Back to Linear Algebra or home page.