Math 2030 -- Linear Algebra I
Course Description
Instructor: D. Bradley
Format: 5 Lecture hours per week for 6 weeks.
Text: Lee W. Johnson, R. Dean Riess, & Jimmy T. Arnold,
"Introduction to Linear Algebra," (4th ed.) Addison-Wesley,
New York, 1997. Chapters 1-3.
References:
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Kenneth Hoffman, Ray Kunze, "Linear Algebra," (2nd ed.)
Prentice-Hall, New Jersey, 1971.
- Paul R. Halmos, "Finite-Dimensional Vector Spaces,"
Springer Undergraduate Texts in Mathematics, New York, 1974.
- Paul R. Halmos, "Linear Algebra Problem Book,"
MAA Dolciani Mathematical Expositions #16, 1995.
Syllabus:
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Matrices and Linear Equations
-
Echelon Form and Gauss-Jordan Elimination
-
Applications
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Matrix Operations
-
Linear Independence and Nonsingular Matrices
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Data Fitting, Numerical Integration/Differentiation
- Matrix Inverses and Their Properties
-
The Vector Space Rn
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Subspaces, Bases
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Dimension, Orthogonal Bases
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Linear Transformations from Rn to Rm
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Least-Squares Solutions to Inconsistent Systems, Applications
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The Eigenvalue Problem
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Determinants
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The Characteristic Polynomial
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Eigenvectors and Eigenspaces
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Complex Eigenvalues and Eigenvectors
- Similarity Transformations and Diagonalization
- Difference Equations, Markov Chains
- Systems of Differential Equations
Homework assignments will include a number of problems
requiring the use of MATLAB, a computer software package
designed for solving problems in linear algebra.