Spring 2013
MATH 323-503: Linear Algebra
Time and venue: TR 12:45-2:00 p.m., BLOC 160
Office hours (MILN 004):
Tuesday, 11:00 a.m.-12:30 p.m.
Thursday, 11:00 a.m.-12:30 p.m.
by appointment
Help sessions (BLOC 117):
Sunday - Thursday, 8:00-10:00 p.m.
Additional office hours (MILN 004):
Wednesday, May 1, 12:00-2:00 p.m.
Tuesday, May 7, 12:00-2:00 p.m.
Thursday, May 9, 12:00-2:00 p.m.
Final exam: Wednesday, May 8, 8:00-10:00 a.m., BLOC 160
Rules for the exam: no books, no lecture notes, no calculators. Bring paper and a stapler.
Quiz: Tuesday, April 23 (topic: matrix exponentials)
Quiz: Tuesday, April 23 (solution)
Course outline:
Part I: Elementary linear algebra
Systems of linear equations
Gaussian elimination, Gauss-Jordan reduction
Matrices, matrix algebra
Determinants
Leon's book: Chapters 1-2
Lecture 1: Systems of linear equations. Gaussian elimination.
Leon 1.1
Lecture 2: Gaussian elimination (continued). Row echelon form. Gauss-Jordan reduction.
Leon 1.1-1.2
Lecture 3: Row echelon form (continued). Applications of systems of linear equations. Matrix algebra.
Leon 1.2-1.3
Lecture 4: Matrix multiplication. Diagonal matrices. Inverse matrix.
Leon 1.3-1.5
Lecture 5: Inverse matrix (continued).
Leon 1.4-1.5
Lecture 6: Matrix algebra (continued). Determinants.
Leon 1.4-1.5, 2.1-2.2
Lecture 7: Determinants (continued).
Leon 2.1-2.3
Part II: Abstract linear algebra
Vector spaces
Linear independence
Basis and dimension
Coordinates, change of basis
Linear transformations
Leon's book: Chapters 3-4
Lecture 8: Vector spaces.
Leon 3.1
Lecture 9: Subspaces of vector spaces. Span. Spanning set.
Leon 3.2
Lecture 10: Spanning set (continued). Linear independence.
Leon 3.2-3.3
Lecture 11: Wronskian. Basis of a vector space. Dimension.
Leon 3.3-3.4
Lecture 12: Basis of a vector space (continued). Rank and nullity of a matrix.
Leon 3.2, 3.4, 3.6
Lecture 13: Review for Test 1.
Leon 1.1-1.5, 2.1-2.2, 3.1-3.4, 3.6
Lecture 14: Basis and coordinates. Change of basis. Linear transformations.
Leon 3.5, 4.1
Lecture 15: Linear transformations (continued). Range and kernel. General linear equations.
Leon 4.1
Lecture 16: Matrix transformations. Matrix of a linear transformation. Similarity of matrices.
Leon 4.2-4.3
Part III: Advanced linear algebra
Orthogonality
Inner products and norms
The Gram-Schmidt orthogonalization process
Eigenvalues and eigenvectors
Diagonalization
Leon's book: Sections 5.1-5.6, 6.1, 6.3
Lecture 17: Euclidean structure in Rn. Orthogonality. Orthogonal complement.
Leon 5.1-5.2
Lecture 18: Orthogonal projection. Least squares problems.
Leon 5.2-5.3
Lecture 19: Least squares problems (continued). Norms and inner products.
Leon 5.3-5.4
Lecture 20: Inner product spaces. Orthogonal sets.
Leon 5.4-5.5
Lecture 21: The Gram-Schmidt orthogonalization process.
Leon 5.5-5.6
Lecture 22: Eigenvalues and eigenvectors. Characteristic polynomial.
Leon 6.1
Lecture 23: Diagonalization. Review for Test 2.
Leon 6.3 (diagonalization); 3.5, 4.1-4.3, 5.1-5.6, 6.1, 6.3 (review for Test 2)
Part IV: Topics in applied linear algebra
Matrix exponentials
Rotations in space
Orthogonal polynomials
Leon's book: Sections 5.5, 5.7, 6.1-6.4
Lecture 24: Matrix polynomials. Matrix exponentials.
Leon 6.2-6.3
Lecture 25: Complexification. Orthogonal matrices. Rigid motions.
Leon 5.5, 6.4
Lecture 26: Orthogonal polynomials. Review for the final exam.
Leon 5.7 (orthogonal polynomials); 1.1-1.5, 2.1-2.2, 3.1-3.6, 4.1-4.3, 5.1-5.7, 6.1-6.3 (review for the final exam)