Fall 2007
MATH 304-504: Linear Algebra
First day hand-out
Suggested weekly schedule
Help sessions for MATH 220/222/304:
Mo, Tu, Th (5:30-8:00 p.m.) and We (7:00-9:30 p.m.) in ENPH 215
Final exam:   Tuesday, December 11, 8:00-10:00 a.m., Milner 216
Part IV (2.5 weeks): Applied linear algebra
Matrix exponentials
Symmetric and orthogonal matrices
Orthogonal polynomials
Markov chains
Lecture 34: Matrix exponentials.
Leon 6.2-6.3
Lecture 35: Symmetric and orthogonal matrices.
Leon 5.5, 6.3-6.4
Lecture 36: Symmetric and orthogonal matrices (continued).
Leon 5.5, 6.3-6.4
Lecture 37: Rotations in space. Orthogonal polynomials.
Leon 5.5, 5.7, 6.3
Lecture 38: Orthogonal polynomials (continued).
Leon 5.7
Lecture 39: Markov chains.
Leon 6.3
Lecture 40: Review for the final exam.
Leon 1.1-1.4, 2.1-2.3, 3.1-3.6, 4.1-4.3, 5.1-5.7, 6.1-6.4
Part III (4 weeks): Advanced linear algebra
Orthogonality
Inner products and norms
The Gram-Schmidt orthogonalization process
Eigenvalues and eigenvectors
Diagonalization
Leon's book: Chapters 5-6
Lecture 23: Scalar product.
Leon 5.1
Lecture 24: Orthogonal subspaces.
Leon 5.2
Lecture 25: Least squares problems.
Leon 5.3
Lecture 26: Inner products and norms.
Leon 5.4
Lecture 27: Inner product spaces.
Leon 5.4
Lecture 28: Orthogonal sets. The Gram-Schmidt process.
Leon 5.5-5.6
Lecture 29: The Gram-Schmidt process (continued).
Leon 5.5-5.6
Lecture 30: Eigenvalues and eigenvectors. Characteristic equation.
Leon 6.1
Lecture 31: Bases of eigenvectors. Diagonalization.
Leon 6.1, 6.3
Lecture 32: Diagonalization (continued). Complex eigenvalues and eigenvectors.
Leon 6.1, 6.3
Lecture 33: Review for Test 2.
Leon 4.1-4.3, 5.1-5.6, 6.1, 6.3
Part II (4.5 weeks): Abstract linear algebra
Vector spaces
Linear independence
Basis and dimension
Linear transformations
Range and kernel
Similarity
Leon's book: Chapters 3-4
Lecture 10b: Vector spaces.
Leon 3.1
Lecture 11: Vector spaces and their subspaces.
Leon 3.1-3.2
Lecture 12: Span.
Leon 3.2
Lecture 13: Linear independence.
Leon 3.3
Lecture 14: The Vandermonde determinant. Basis of a linear space.
Leon 3.3-3.4
Lecture 15: Basis and dimension.
Leon 3.4
Lecture 16: Basis and coordinates.
Leon 3.5
Lecture 17: Change of coordinates (continued). Rank and nullity of a matrix.
Leon 3.2, 3.5-3.6
Lecture 18: Column space of a matrix. Linear transformations. Kernel and range.
Leon 3.6, 4.1
Lecture 19: Kernel and range (continued). Matrix transformations.
Leon 4.1-4.2
Lecture 20: Review for Test 1.
Leon 1.1-1.4, 2.1-2.3, 3.1-3.6
Lecture 21: Matrix of a linear transformation.
Leon 4.2-4.3
Lecture 22: Similarity.
Leon 4.3
Part I (3 weeks): Elementary linear algebra
Systems of linear equations
Matrices
Determinants
Leon's book: Chapters 1-2
Lecture 1: Systems of linear equations.
Leon 1.1
Lecture 2: Gaussian elimination. Row echelon form.
Leon 1.1-1.2
Lecture 3: Gauss-Jordan reduction. Applications of systems of linear equations.
Leon 1.2
Lecture 4: Another application of systems of linear equations. Matrix algebra.
Leon 1.2-1.3
Lecture 5: Matrix algebra (continued). Diagonal matrices. Inverse matrix.
Leon 1.3-1.4
Lecture 6: Inverse matrix (continued).
Leon 1.3-1.4
Lecture 7: Elementary matrices. Determinants.
Leon 1.4, 2.1-2.2
Lecture 8: Properties of determinants.
Leon 2.1-2.2
Lecture 9: Evaluation of determinants.
Leon 2.2
Lecture 10a: Cramer's rule.
Leon 2.3