This** preview**
has intentionally

**sections.**

*blurred***to view the full version.**

*Sign up*
This** preview**
has intentionally

**sections.**

*blurred***to view the full version.**

*Sign up*
This** preview**
has intentionally

**sections.**

*blurred***to view the full version.**

*Sign up*
This** preview**
has intentionally

**sections.**

*blurred***to view the full version.**

*Sign up*
**Unformatted text preview: **MATH 21b FALL 2001 EXAMINATION 1
Tuesday, 23 October, 2001. Name: Teaching Fellow (PLEASE CIRCLE) William Dale Spiro Stein Winter Kari giannis MWF 10am MWF l lam TuTh 103m
Instructions: 1. Do not open this test until told to do so. 2. Please do not detach any pages from this exam. 3. You may use your calculator and one (1) page of notes not exceeding 8.5 by 11 inches
in SIZE. 4. You may use the backs of test sheets for scratch paper. or to continue your working on
problems. If you write on the backs of the test sheets. please label your working very
clearly. 5. SHOW ALL YOUR WORK. 6. Exam proctors are not permitted to answer questions regarding the content of the test. 7. Many of the questions have precisely worded instructions. Be sure to read all
instructions carefully, and do all that is asked. 8. Please try your best - try to relax and show us what you can do! 1. (19 points total) Let T: R] —> R‘ be the linear transfon'nation defined by the matrix A given below. 1 -2 5 2 5 -8
A = —1 —4 7 3 l 1 (a) (10 points) Find a basis for the kernel of T. Be careful to explain your reasoning
and show your work. (b) (5 points) Find a basis for the image of T. Be careful to explain your reasoning
and show your work. (c) (4 points) What is the rank of the matrix A ‘? 2. (20 points tonal) Each of the diagrams shown below is obtained from the unit square: G 1 by some kind of transfomian'on T: R2 —) R2. For each of the diagrams shown below,
decide whelher ornot the transfonnation was a linear Hansfonnation or not. If you believe that the transfonnation was a linear transformation, ﬁnd a matrix that could represent that
transformation. If you believe that the transformation was not a linear transfonnation. explain why not. (a) (5 points) ([3) (5 points) (d) (5 points) 3. (ll) points total)
In this problem, A and B are 2 by 2 man-ices, The inverses of A and B are given below. mu :1 w: 2] (a) (5 points) Solve the system of linear equations: BEH- (b) (5 points) Find the 2 by 2 matrix: mm". 4. [16 points total) x
Let S be the set of all vectors [ whose components satisfy either.
y 2x-y=0 or 3x+5y=0. (a) (4 points} Use the axes provided below to sketCh the set S. (b) (6 points) Is S a subspace of the vector space R2 ‘? Be careful to note what
properties a subset must have in order to be a subspace, and use these properties to
justify your answer. (c)‘ (6 points) Does S have any subsets that are subspaces of R2 ’3 If not explain why
not. If so. give an example of such a subset. 5. (13 points total} The symbols: P2 denote the vector space of polynomials that have degree at most equal to
2. In this problem, PR: —’ P2 will always denote a linear transformation with the following properties:
ill 2 ill]
= y — 3 and = I + l .
4 9
7
(a) (5 points} Calculate: T[[_2D. (b) (5 points) Find a vector so that = 31‘2 + 4t— 5. (c) (3 points) Find a quadratic polynomial that is not in the image of T. 6. {12 points total)
Let T: R2 —> R2 be a linear transfonnation. The dIagram given below showsthe result of 0 l
applying this linear transformations to the vectors: i7 = [I] and i; : [I] (a) (4 points) Find a basis for the image of the linear transformation T. 1
(b) (4 points) Express as a linear combination of the basis vectors that you
found in Part (a). 1
(c) (4 points) Using the axes provided. sketch the vector: 7. (10 points total) How many linear transformations T: R2 —> R2 have the property of being their own inverse?
Whatever your ﬁnal answer is, make sure that you justify it. Hint: One way (but not the only way) to approach this problem is to determine how many
linear transformations T: R2 w) R2 satisfy the equation: T(T{5c')) = i for every single vector 1': in R2. ...

View
Full Document