7 Problems for Final Exam - Linear Algebra | MATH 130, Exams of Linear Algebra

Material Type: Exam; Professor: Joyce; Class: LINEAR ALGEBRA; Subject: Mathematics; University: Clark University; Term: Spring 2006;

Typology: Exams

Pre 2010

Uploaded on 08/07/2009

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Math 130 Linear Algebra
Final
Dec 2006
You may refer to one sheet of notes on this test, and you may use a calculator. You may
leave your answers as expressions such as 8
4e1/3
2πif you like. Points for each problem are
in square brackets.
Problem 1. [14; 7 points each part] Let Abe the matrix A=
1 5 0 2 2
0 1 0 3 4
0 0 0 1 7
0 0 0 2 14
.
a. Recall that the row space of an m×nmatrix is the subspace of Rnspanned by the
rows of the matrix. Find a basis for the row space for A.
b. Recall that the null space of a matrix Ais the set of all solutions of the homogeneous
system Ax=0. Find a basis for the null space for A.
Problem 2. [14; 7 points each part] Consider the three vectors u= (1,3,1), v= (4,2,1),
and w= (3,1,2).
a. Either prove that the uis in the span of the vectors vand w, or prove that it is not.
b. Are the three vectors u,v, and wlinearly dependent, or linearly independent?
Problem 3. [10] A parallelogram in R3has as adjacent sides the vectors u= ((1,3,2) and
v= (3,1,1). Determine the area of the parallelgram.
Problem 4. [20; 5 points each part] Let Abe the matrix A=
202
021
003
.
a. Write down the characteristic polynomial f(λ) for A.
b. Determine the eigenvalues for A.
c. For each of the eigenvalues of A, find the eigenspace of eigenvectors for that eigenvalue.
d. Is Aa diagonalizable matrix? Explain why or why not.
Problem 5. [20; 10 points each part] Recall that a subset Wof a vector space Vis a
subspace of Vif and only if (1) 0is a vector in W, (2) Wis closed under vector addition,
and (3) Wis closed under scalar multiplication.
a. Prove that the intersection
W1W2={vV|vW1and vW2}
1
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Name:

Mailbox number:

Math 130 Linear Algebra

Final Dec 2006

You may refer to one sheet of notes on this test, and you may use a calculator. You may

leave your answers as expressions such as

e^1 /^3 √ 2 π

if you like. Points for each problem are

in square brackets.

Problem 1. [14; 7 points each part] Let A be the matrix A =

a. Recall that the row space of an m × n matrix is the subspace of Rn^ spanned by the rows of the matrix. Find a basis for the row space for A.

b. Recall that the null space of a matrix A is the set of all solutions of the homogeneous system Ax = 0. Find a basis for the null space for A.

Problem 2. [14; 7 points each part] Consider the three vectors u = (1, 3 , 1), v = (4, 2 , −1), and w = (− 3 , 1 , 2).

a. Either prove that the u is in the span of the vectors v and w, or prove that it is not. b. Are the three vectors u, v, and w linearly dependent, or linearly independent?

Problem 3. [10] A parallelogram in R^3 has as adjacent sides the vectors u = ((1, 3 , −2) and v = (3, − 1 , −1). Determine the area of the parallelgram.

Problem 4. [20; 5 points each part] Let A be the matrix A =

a. Write down the characteristic polynomial f (λ) for A. b. Determine the eigenvalues for A. c. For each of the eigenvalues of A, find the eigenspace of eigenvectors for that eigenvalue. d. Is A a diagonalizable matrix? Explain why or why not.

Problem 5. [20; 10 points each part] Recall that a subset W of a vector space V is a subspace of V if and only if (1) 0 is a vector in W , (2) W is closed under vector addition, and (3) W is closed under scalar multiplication.

a. Prove that the intersection

W 1 ∩ W 2 = {v ∈ V | v ∈ W 1 and v ∈ W 2 }

of any two subspaces W 1 and W 2 of a vector space V is also a subspace of V.

b. Give an example that shows that the union of two subspaces does not have to be a subspace. For your example, specify what the vector space V is, what the two subspaces W 1 and W 2 of V are, and explain why the union

W 1 ∪ W 2 = {v ∈ V | v ∈ W 1 or v ∈ W 2 }

is not another subspace of V.

Problem 6. [12; 4 points each part] On dimension and basis. Let V be the vector space V = {(w, x, y, z) ∈ R^4 | w = x + y + z}.

a. What is the dimension of V? Explain how you know that dimension. b. Exhibit a basis for V. (No need to explain how you found it.) c. Give an example of a 2-dimensional subspace W of V.

Problem 7. [10] If A is a 5 × 3 matrix, show that the rows of A are linearly dependent.