Jen Paulhus, Ph.D.

Advanced Linear Algebra

email: jpaulhus@mtholyoke.edu
Office Hours:
     Mondays 4:00-5:00 PM
     Tuesdays 10:30-11:30 AM
     Thursdays 9:30-10:30 AM
     Fridays 11:30 AM -12:30 PM
     or by appointment

Class Meeting: Tuesday, Thursday 3:15-4:30 PM

Text: Matrix Mathematics: A Second Course in Linear Algebra, Garcia and Horn
Material Covered: Chapters 1-11, 14-17

Syllabus

Homework Assignments    

Daily Topics

Class Date Section Topics
Jan. 28 1.1-1.2, Appendix A, Appendix C (pgs. 1-5, 417-426, 432-444) vector space, complex numbers, matrices, systems of linear equations, determinants
Jan 31 1.3-1.7 (pgs. 5-20) subspaces, spans, linear dependence and independence
Feb. 4 2.1-2.4 basis, dimension of a vector space, rank, full rank factorization, linear transformations
Feb. 6 snow day!
Feb. 11 2.5, 2.6, 3.1 change of basis, similarity, equivalence relation, polynomial bases, lagrange interpolation, Cramer's Rule, block matrices
Feb. 13 3.2, 3.3, 4.1, 4.2 direct sums of block partitions, determinants of block matrices, Rank-Nullity Theorem, more on rank
Feb. 18 4.3, 4.4 LU factorization, row equivalence
Feb. 20 no class
Feb. 25 5.3-5.5 inner products, norms, normed vector spaces
Feb. 27 6.1-6.4 orthonormal sequences, orthonormal bases, Gram-Schmidt, Riesz Representation Theorem
Mar. 4 6.5-6.7, 7.1 more on orthonormal bases, adjoints, Parseval's Identity, Bessel's Inequality, unitary matrices
Mar. 6 7.2-7.5 change of basis for orthonormal bases, unitary similarity, permutation matrices, upper Hessenberg matrices
Mar. 11 7.4, 8.1-8.3 QR factorization, orthogonal complement, minimum-norm solution, orthogonal projection
Mar. 13 8.4-8.6 Best Approximation, "solutions" to inconsistent systems, invariant subspaces
Mar. 25 8.6, Appendix B, 9.1-9.3 invariant subspaces, polynomials, eigenvalues and eigenvectors, complex eigenvalues
Mar. 27 10.1-10.4 characteristic polynomial, multiplicities related to similarity and diagonlaization
Apr. 2 9.5, 11.1-11.3 eigenvectors of commuting matricies, Schur's Triangulation Theorem, Cayley-Hamilton Theorem, minimal polynomial
Apr. 4 11.4-11.6 linear matrix equations, commuting matrices and triangulation, eigenvalue adjustments

Homework Assignments and Portfolio Deadlines

Homework assignments are due in the appropriate Google Drive Folder by 4:00 PM on the date listed below. Any parts that you LaTeX can be turned in by 10:00 PM See the syllabus for more information about submitting homework.

Rubric and Homework Guidelines

Show your work on the homework. Answers with no work will receive zero points.

Due date Problem Set
Jan. 31 Homework 1
Feb. 7 Homework 2
Feb. 14 Homework 3
Feb. 21 Homework 4
Feb. 28 Homework 5
Mar. 7 Homework 6
Mar. 14 Homework 7
Mar. 31 (10 PM) Midterm Takehome
Apr. 2 (noon) Portfolio: survey due
Apr. 4 (5 PM) Portfolio: check-in 1 for Project 1
Apr. 11 Homework 8
Apr. 18 (5 PM) Portfolio: check-in 1 for Project 2 and check-in 2 for Project 1
Apr. 25 Homework 9
May. 2 (5 PM) Portfolio: Project 1 due and check-in 2 for Project 2
May. 12 (noon) Portfolio: Project 2 due