Dr. Sarah's Math 2240 Class Highlights Summer 2007 Page
The following is NOT HOMEWORK unless you miss part or all of the class.
See the main class web page
for ALL homework and due dates.
Mon June 25
Discuss linear transformations and prove that a rotation matrix rotates vectors. Discuss other 2-D transformations. Computer graphics demo on WebCT.
Tues June 26
Work on problems.
Hints on Problem 1: Look at Section 1 example 1C, but use rotation by
-Pi/6.
We also need to shrink the triangle as it goes around, so, instead of letting
M equal U.R.T, you need to add a matrix A that is close to the identity
matrix, but scales in the x and y spot and M:=the
product of the 4 matrices A, U, R, and T in some order that makes sense.
Hints on Problem 3: Try a rotation matrix composed with a translation
matrix.
Highlight the fact that going back to the origin, performing a
transformation, and then moving back to where you started is similar in
methodology to writing a solution as a homogeneous solution plus a
particular one...
Review Problem. Read over study guide on the main
page. If time remains, take questions on the test or test revisions.
Wed June 27
Test 3
Thur June 28
Discuss the importance of
orthogonal matrices. Motivate Yoda via the data at the bottom of
Tim's Page.
Yoda in Maple. Discuss final project abstracts. Evaluations.
Hand back test 3 and discuss revisions.
Fri June 29
Final Project presentations.
Mon June 18 Finish 4.5 and go over WebCT comments on span and
linear independence. Do group work and prepare
to present your responses.
Tues June 19 Finish going over group problems.
4.6. In groups do 4.6 22, 31
Go over practice problems. Go over spacecurve command on columns and
implicitplot3d command on the rows.
Wed Jun 20
Begin 7.1 and the geometry of eigenvectors via WebCT demo,
including zero valued eigenvalues. Continue 7.1 with the Fox problem via
WebCT demo and the eigenvector decomposition.
Thur June 21
Continue the eigenvector decomposition and
discuss the necessity for diagonalizability and then do 7.2. Time to review
problem set and test material.
Fri June 22 Test 2. After test, review 7.1 and 7.2
and then show WebCT dynamical demo.
Monday June 11 Finish chapter 3. 4.1. Geometry of
linear combinations and determinants.
Tuesday June 12 Review Monday's work and finish. Coffee mixing
problem and numerical methods issue related to decimals versus fractions.
Go over practice problems.
Begin 4.2.
Wednesday June 13 4.2 continued. Begin 4.3.
Thur June 14 4.3 and 4.4 and 4.5 definitions
Maple Code:
>M:=Matrix([[1,0,-2],[2,1,0],[3,2,1]]):
>
a1:=spacecurve({[1*t,2*t,3*t,t=0..1]},color=red, thickness=2):
a2:=textplot3d([1,2,3, ` vector [1,2,3]`],color=black):
b1:=spacecurve({[0*t,1*t,2*t,t=0..1]},color=green, thickness=2):
b2:=textplot3d([0,1,2, ` vector [0,1,2]`],color=black):
c1:=spacecurve({[-2*t,0*t,1*t,t=0..1]},color=magenta, thickness=2):
c2:=textplot3d([-2,0,1, ` vector [-2,0,1]`],color=black):
d1:=spacecurve({[0*t,0*t,0*t,t=0..1]},color=yellow, thickness=2):
d2:=textplot3d([0,0,0, ` vector [0,0,0]`],color=black):
display(a1,a2, b1,b2,c1,c2,d1,d2);
Fri June 15 Test 1. Continue with 4.5.
Monday June 4
Fill out information sheet. Introductions.
History of linear equations and the term "linear algebra".
html of file.
Begin 1.1.
Intro to Maple via Maple worksheet
(html version)
Continue 1.1 including geometric perspectives in 2 and 3-D.
Elimination.
History of matrices and elimination via the Chinese and Gauss.
Tuesday June 5
Meet in 205. Open Maple 11 (Local Apps/Maple 11/Maple 11 icon). Hand out
PS 1 Hints. Used ReducedRowEchelon
on last 2 examples from Monday that we plotted and solved by-hand.
Go over text comments in Maple and web pages and bulletin board and
solutions. Go over 59 b and 73 in Maple using Gaussian. Go back to the
classroom. 1.2 by-hand and 1.3.
Wed June 6
Begin 2.1 via
Image 1
Image 2
Image 3
Image 4
Image 5
Image 6
Image 7.
Continue 2.1. Powerpoint file
Go over 43 and 49 on the practice problems, including the geometry of 43.
Continue with 2.2. html file
Thur June 7 2.3. Begin 2.5
on coding, regression line and Markov/stochastic matrices and stability.
If time remains, go to the computer lab and work on
Markov
Fri Jun 8 Markov/stochastic matrices and stability continued.
Finish Markov. Begin 3.1