Spring 2014 Math 2270-002

Math 2270-002 Linear Algebra

Time: Monday, Tuesday, Wednesday, and Friday, 2:00-2:50
Location: AEB 310 Monday, Wednesday, and Friday
LCB 215 Tuesday
Textbook: Introduction to Linear Algebra by Gilbert Strang

Syllabus

Sections 1.1-2.1 scans
Sections 2.2-2.4 scans
Sections 2.5-2.7 scans

Quiz 1:

Wednesday 1/15
Solutions

Homework 1:

Quiz 2:

Wednesday 1/22
Solutions

Homework 2:

Quiz 3:

Wednesday 1/29
Solutions

Homework 3:

Quiz 4:

Wednesday 2/5

Homework 4:

Quiz 5:

Wednesday 2/12

Homework 5:

Quiz 6:

Wednesday 2/19

Homework 6:

Midterm #1

Quiz 7:

Wednesday 2/26

Homework 7:

Quiz 8:

Wednesday 3/5

Homework 8:

Quiz 9:

Wednesday 3/19

Homework 9:

Quiz 10:

Wednesday 3/19

Homework 10:

Quiz 11:

Wednesday 4/2

Homework 11:

Quiz 12:

Wednesday 4/9

Midterm #2

Homework 12:

Course outline for final

(1/13) Some different cases for the ''row picture'' of a 3x3 matrix: 1 2 3 4 5
The row picture of a pretty generic 3x3 ''row picture'' from three angles: 1 2 3, and the same system after elimination, from the same angles: 1 2 3
Notice that, restricted to the green plane, the ''after elimination'' system looks like a 2x2 ''after elimination'' picture.
(2/10) To view these, download the .txt files and open them in the applet here.The standard basis in R^3. Any point in R^3 can be expressed, in a unique way, as a linear combination of the standard basis. Another basis in R^3. Again, any point in R^3 can be expressed in a unique way as a linear combination of the basis. A set of linearly dependent vectors in R^3. A basis for a two-dimensional subspace of R^3.
(3/31) The $25,000,000,000 Eigenvector


















































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