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Department:
MATH
Course Number:
4305
Hours - Lecture:
3
Hours - Lab:
0
Hours - Recitation:
0
Hours - Total Credit:
3
Typical Scheduling:
Every Fall and Spring; Some Summers
Linear algebra in R^n, standard Euclidean inner product in R^n, general linear spaces, general inner product spaces, least squares, determinants, eigenvalues and eigenvectors, symmetric matrices.
Prerequisites:
Course Text:
At the level of Linear Algebra with Applications, Bretscher
Topic Outline:
- Linear systems. Gauss-Jordan elimination (row reduction)
- Linear transformations in R^n and their matrices
- Composed transformations and matrix products. The inverse
- Subspaces, bases, dimension, coordinates with respect to bases
- Image and kernel. Rank and nullity
- General linear spaces and subspaces
- Linear transformations in general linear spaces. Matrices with respect to bases
- Orthogonal projections
- Orthonormal bases, Gram-Schmidt process, and QR factorization
- Least squares
- General Inner product spaces
- Determinants. Geometric properties
- Eigenvalues and eigenvectors
- Diagonalization. Matrix iterations
- Orthogonal diagonalization of symmetric matrices and quadratic forms
- Singular value decomposition