- Course Syllabus includes dates for Tests etc...
- Matrix Calculator Site - Will show steps for rref and many other calculations.
- Eigenvector calculator, ugly numbers no problem. Also deals with complex case no problem. However, does not find generalized e-vectors.
- note: students are encouraged to use Matlab to solve systems as indicated in homework.

These are based on my old Math 321 notes from 2009 and 2010. However, there is significant revision.

I have posted my 2009 and 2010 notes in Course content in case you want to look at a proof I reference in the Math 221 notes.

Completing homework is probably the most important task you have for this course. I have many office hours. Ask when you are stuck.

- Homework 1:
- Homework 2:
- Homework 3:
- Homework 4:
- Homework 5:
- Homework 6:
- Homework 7:
- Homework 8:
- Homework 9:
- Homework 10:

Solutions to Homework from Lay's Linear Algebra:

- Homework 1: on linear systems and Gaussian Elimination
- Homework 2: matrix properties, elementary and inverse matrices
- Homework 3: calculating inverse matrix, and determinants, Kramer's Rule
- Homework 4: spanning sets, linear independence, CCP, coordinate vectors
- Homework 5: row, column and null space of a matrix
- Homework 6: linear transformations
- Homework 7: dot-products, Gram Schmidt, orthogonal complements
- Homework 8: orthogonal operators and least square fitting
- Homework 9: inner products, real e-values and e-vectors
- Homework 10: e-value theory and complex e-values and vectors
- Homework 11: diagonalization and eigenbases
- Homework 12: solving systems of ODEqns via the matrix exponential/e-vector method

Last Modified: 8-2012