Math 54 -- Linear Algebra and Differential Equations
Fall 2003, Prof. Allen Knutson
This class is
very, very full.
Note that
there is still some room in Math 54M.
For enrollment issues, you must see the Head TA, Kendra Eyer, in 1070 Evans,
and fill out a processing form. If you do not fill
out that form, you cannot be added into the class.
Conversely, if you are already enrolled in the class,
you do not need to fill out this form!
Her office hours are Tue 1-4, Wed 4-5, Thu 1-4, Fri 2:30-5.
TAs (all of these emails are @math.berkeley.edu):
| Name | Section 1 | Section 2
| Office hours | email
|
| Alice Medvedev | 11 AM, 87 Evans | 10 AM, 4 Evans |
M 12-1,2-3 741->712 Evans | alice@math
|
| Ari Nieh | 8 AM, 3 Evans | 10 AM, 425 Latimer |
M 11-12, W 3-4, 710 Evans | ari@math
|
| Darren Rhea | Noon, 87 Evans | 3 PM, 45 Evans | M,T 4-5,
1070 Evans | drhea@math
|
| Ben Hough | 2 PM, 51 Evans | 3 PM, 41 Evans | M 4-5,
W 1-2 | jbhough@math
|
| Marco Zambon | 8 AM, 87 Evans | 9 AM, 103 Moffitt |
T 1:40-2:40, F 2-3, 1095 Evans | zambon@math
|
| Peter Tingley | Noon, 6 Evans | 1 PM, 7 Evans |
M 10:30-11:30, F 2-3 | pwtingle@math
|
| Yuan Yao | 10 AM, 237 Cory | 1 PM, 9 Evans |
M 2-3, Th 4:30-5:30, 759 Evans | yao@math
|
| Zachary Judson | 11 AM, 3111 Etcheverry | 2 PM, 39 Evans |
M 3-4, W 12-1 in 814 Evans | judson@math
|
| Paulo Ney de Souza | 10 AM, B51 Hildebrand | 12 noon, 3109 Etcheverry
| MF 11-12, 999->1087 Evans | desouza@math
|
(You'll have to type the address in yourself -- if they were clickable,
then web-searching robots would sign them up for spam.)
What we covered, and what could be on the final
Hill:
Sections 1.1-5
none of Section 2 -- we'll do Section 5 instead
Sections 3.1-8 -- actually we blew off much of 3.3
Sections 4.1, 4.2, 4.4 -- we didn't explicitly have homework questions
from 4.2, 4.4, but we did them a lot in class. See review questions below
Sections 5.1-4
Boyce & DiPrima (updated):
Sections 3.2, (less of 3.3), Nov. 13
Sections 4.1 Nov. 13
Sections 7.5-7.8 Nov 18,20
The stuff below will not be on the test
Sections 10.1, .2, .5 (not really 10.3, .4) Nov 25,Dec 2
Update: the above sections of [BDP] are the ones standardly taught
in this course -- I'm following the generic math department recommendation
for what to teach. What I'm hearing, though, is that the material from
Ch1&2 was only covered at the end and extremely briefly (if at all)
in 16b, 1b. So I am not going to assume that material; in particular, if we
have any inhomogeneous differential equations to solve (and we might not)
I will tell you their explicit form and solution.
Here's a calendar for the class.
It includes what we've done so far, and where we plan to go
next.
Homework:
Due 9/2: 1.1 #13,14,15, 1.2 #7,8,9,12,26,27,28,29.
Warning:This homework is too easy, and not necessarily
representative of the homework to come.
Due 9/9:
1.3 #9-12, 15, 16
1.4 #3-6, 16-20
Due 9/16:
1.5 #2, 3, 40 ("unit" lower triangular means 1s on the diagonal),
If {v,w} is an orthonormal set of vectors, and x and y are
real numbers, for which x,y is {xv,yw} again an orthonormal set?
What are all the vectors orthogonal to (1,0,-1)?
3.1 #41-44, 47-50
Due 9/23:
3.1 #21,22
3.2 #1-2, 16-17, 19, 36-37
Let T be an 4x4 matrix, upper triangular, with 0s on the diagonal.
Show that T^4, that means T*T*T*T, is the zero matrix.
Let W be like the identity matrix, but with the 1s on the
NE/SW diagonal instead of NW/SE.
If U is upper triangular,
show that WUW is lower triangular.
If U is both upper and lower triangular, is U = WUW?
Show W is invertible, by finding its inverse.
Midterm review problems (some too easy to be indicative)
from the worksheets, Questions/Problems/Additional
section 2 Q#2,4,5 / A#1
section 3 Q#1,2 / P#1,3,5,6,7 / A#1,2
section 4 Q#1,2 / P#3,4,5 / A#1,2
section 6 Q#2,4 / P#1,5 / A#1
Let T be a 10x10 square matrix that differs from the identity only in
the top row and rightmost column, and has 1s in the NW and SE corners.
Describe T*T. If 10x10 is too scary do 4x4 first. Then find T inverse.
Hint: it's the same shape as T.
(If you've played with complex numbers before) Say we used the same
definition of dot product, x.y = sum_i x_i y_i, for vectors full of
complex numbers not just real numbers. Find a size two vector
that is orthogonal to itself (!). (This is why we won't eventually
use the same definition for dot product.)
Say that M,N are two matrices of the same width, each in row-echelon form.
Stack M on top of N, making a tall matrix.
When is this in row-echelon form?
To put it in row-echelon form, do we have to change M sometimes?
To put it in row-echelon form, do we have to use M to change N sometimes?
To put it in row-echelon form, do we have to use N to change N sometimes?
Let M,N be rectangular such that MN, NM both make sense, and call them
S,T. Say S=identity. Is T=identity? If not, what can you say about T^2?
Let {v,w} be an orthonormal pair of vectors in R^3, 3-dimensional space.
How many vectors are there such that {v,w,x} is orthonormal?
This week's homework: 3.4 #1,3,4,6,7,8. The quiz will be on Friday
rather than Wednesday.
Due 10/14: 3.4 #25,27,29,30, 3.5 #10,11,12,27,29,32,33
Due 10/21: 3.6 #7,8,9,11,26,35,36, 3.7 #33,34,35,43
Due 10/28: 3.8 #3,4,5,13,14,18,19,20,31
Second midterm review problems (some too easy to be indicative)
from the worksheets, Questions/Problems/Additional
section 8 Q#2,5 / P#2,3,4,5 / A#1,2
section 9 Q#3,4 / P#1,3,4,5 / A#1,2
section 10 Q#3 / P#1,2,4 / A#1,2,3
section 11 Q#1,2,4 / P#4,5,6,7
section 12 etc. are on stuff since the last homework, hence
not on the test. for example section 12 P#1,3,6 / A#1,2,3 should
not have been suggested for review!
Due 11/11: 4.1 #10,11,16, 5.1 #9,10,25,26,32,34,35
Due 11/18: [BDP] 3.2 #4,13,17, no actually forget this #17 -- it uses
stuff that too many people haven't seen. 4.1 #11,14,17
Due 11/25: [BDP] 7.5 #1,2,7,11,15,29, 7.6 #1,2,9,13,28
Due 12/4: [Hill] 5.2 #16,17,23, 5.3 #8,9, [BDP] 7.8 #5,7,15,17
Final review problems
from the worksheets, Questions/Problems/Additional
section 12 Q#1,3,4 / P#2,6 / A#1,4
section 13 Q#1 / P#3,5
section 14 Q#1 / P#1,3 / A#1,3,4,5
While the above two sections didn't make it to homework, we did inner
products on at least five occasions in class, so YES one might have to
e.g. know the definition of orthogonal on the final. If you can do the
review questions, you'll have all you need to know from 4.2,4.4.
section 15 Q#2,3 / P#1,3,4,5,6 / A#2,3 (may be hard!)
section 16 Q#1,2 / P#1,2,3,4,5,6 (cute question) / A#1
section 17 Q#1,2 / P#1,2,3,4 / A#1,3,4
section 19 Q#4,5 / P#1,2,3
section 20 Q#1 / P#1,4
section 21 Q#1
section 22 Q#1 / P#2,3 / A#1,2,3
section 23 Q#2 / P#1,2,5 / A#1
Errata from the final class:
I misstated what the solutions look like
to a linear homogeneous system of ODEs when the eigenvalues repeat;
where I had {1, t, t^2, t^3, ...} it should have been
{1, t, t^2/2!, t^3/3!, ...}.
Worse, I claimed that the Wronskian test is if and only if! Check out
e.g. section 19 problem #3.
Oops!