Math 214
Linear Systems
Spring 2008

Schedule

Ron Buckmire: 
Contact & Home & Schedule

Syllabus

rref(A) : find reduced row echelon form of A
null(A): finds a basis for the null space of a matrix A (solution set of  Ax=0)
eig(A): returns the eigenvalues of  a matrix A
poly(A): find the characteristic polynomial of a matrix A in the form with the coefficients of the polynomial decreasing in order from right to left
A': find the transpose of a matrix
A^n: raises A to the n^th power, i.e. A multiplied by itself n times.
[A b]: If A is a mxn matrix and b is a mx1 vector this command produces the augmented coefficient matrix of the linear system Ax=b
[3;1]: is a 2x1 column vector; [3 1] is a 1x2 row vector.
[S,D]=eig(A): returns into S the columns of which are the normalized eigenvectors of A, and D is a diagonal matrix with the eigenvalues along the diagonal
inv(A): find the inverse of matrix A

Automathography. How does your biography intersect with your current mathematical knowledge and interest? That is, how does what courses you have taken previously influence how you view mathematics now? This should not just be a laundry list of courses you have taken but a reflection on your view of mathematics through the prism of your individualized experience. Limit is 250-400 words. Please spell-check and proofread your writing!

Also include your AIM screenname  and your preferred Nickname or what you like to be called in class.

10 HW BONUS POINTS.