Suppose aj, az, az, a, and a, are vectors in R, and they are, in order from left to right, the five columns of the matrix (A), so that A = [aj | az | a | a, | as), and 3 4 rref (A) = 0 1 0 lo 0 1 -3 1 a. Select all of the true statements (there may be more than one correct answer). OA. {āj, az} is a linearly independent set OB. {aj, az, ag, as} is a basis for R³ OC. {ãj, ã2, ã3} is a linearly independent set OD. {ãi, a2, ā3, a4} is a linearly independent set OE. span(ai, a2, az) = R³ OF. span(aj, az) = R³ OG. {aj, a, ä} is a basis for R OH. {ãj, az} is a basis for R3 Ol. span(ai, a2, az, ãs) = R³ b. If possible, write a, as a linear combination of aj, az, and az; otherwise, enter "DNE". You may enter "a1" for aj, etc., or enter coordinate vectors of the form "<1,2,3>" or " <1,2,3,4,5>". c. The dimension of the image of A is and the image of A is a subspace of (enter "RAn" with a specfic number for "n"). d. Find a basis for the image of A. Enter "a1" for aj, etc., or enter coordinate vectors of the form "<1,2,3>" or " <1,2,3,4,5>". Enter your answer as a comma separated list of vectors. A basis for the image of A is { e. The dimension of the kernel of A is and the kernel of A is a subspace of (enter "R^n" with a specfic number for "n"). f. If ëj = (-3, 3, –1,1,0), then Aæi = Enter "a1" for āj, etc., or enter coordinate vectors of the form "<1,2,3>" or " <1,2,3,4,5>". Is xi in the kernel of A? choose v g. If 2 = (-4, –2, –2, 0, 1), then A2 = . Is x2 in the kernel of A? choose v h. If ag = 32 - 4x = then Axg = . Is x3 in the kernel of A? choose v i. Find a basis for the kernel of A. Enter "a1" for aj, etc., or enter coordinate vectors of the form "<1,2,3>" or "<1,2,3,4>". Enter your answer as a comma separated list of vectors.
Suppose aj, az, az, a, and a, are vectors in R, and they are, in order from left to right, the five columns of the matrix (A), so that A = [aj | az | a | a, | as), and 3 4 rref (A) = 0 1 0 lo 0 1 -3 1 a. Select all of the true statements (there may be more than one correct answer). OA. {āj, az} is a linearly independent set OB. {aj, az, ag, as} is a basis for R³ OC. {ãj, ã2, ã3} is a linearly independent set OD. {ãi, a2, ā3, a4} is a linearly independent set OE. span(ai, a2, az) = R³ OF. span(aj, az) = R³ OG. {aj, a, ä} is a basis for R OH. {ãj, az} is a basis for R3 Ol. span(ai, a2, az, ãs) = R³ b. If possible, write a, as a linear combination of aj, az, and az; otherwise, enter "DNE". You may enter "a1" for aj, etc., or enter coordinate vectors of the form "<1,2,3>" or " <1,2,3,4,5>". c. The dimension of the image of A is and the image of A is a subspace of (enter "RAn" with a specfic number for "n"). d. Find a basis for the image of A. Enter "a1" for aj, etc., or enter coordinate vectors of the form "<1,2,3>" or " <1,2,3,4,5>". Enter your answer as a comma separated list of vectors. A basis for the image of A is { e. The dimension of the kernel of A is and the kernel of A is a subspace of (enter "R^n" with a specfic number for "n"). f. If ëj = (-3, 3, –1,1,0), then Aæi = Enter "a1" for āj, etc., or enter coordinate vectors of the form "<1,2,3>" or " <1,2,3,4,5>". Is xi in the kernel of A? choose v g. If 2 = (-4, –2, –2, 0, 1), then A2 = . Is x2 in the kernel of A? choose v h. If ag = 32 - 4x = then Axg = . Is x3 in the kernel of A? choose v i. Find a basis for the kernel of A. Enter "a1" for aj, etc., or enter coordinate vectors of the form "<1,2,3>" or "<1,2,3,4>". Enter your answer as a comma separated list of vectors.
Algebra and Trigonometry (6th Edition)
6th Edition
ISBN:9780134463216
Author:Robert F. Blitzer
Publisher:Robert F. Blitzer
ChapterP: Prerequisites: Fundamental Concepts Of Algebra
Section: Chapter Questions
Problem 1MCCP: In Exercises 1-25, simplify the given expression or perform the indicated operation (and simplify,...
Related questions
Question

Transcribed Image Text:Suppose aj, az, az, ag, and a, are vectors in R, and they are, in order from left to right, the five columns of the matrix (A), so that A = [ai| az | az | as | aj), and
[1 0 0
rref(A) = 0 1 0 -3 2
0 0 1 1
41
2
a. Select all of the true statements (there may be more than one correct answer).
OA. {ãi, a2} is a linearly independent set
OB. {ai, a2, a3, a4} is a basis for R³
OC. {āj, a2, āz} is a linearly independent set
OD. {ãi, a2, ā3, a4} is a linearly independent set
OE. span(ãi, ā2, āz) = R³
OF. span(ai, az) = R³
OG. {aj, a2, āz} is a basis for R3
OH. {ãi, a2} is a basis for R
OI. span(aj, a2, a3, a4) = R3
b. If possible, write a, as a linear combination of aj, az, and az; otherwise, enter "DNE". You may enter "a1" for aj, etc., or enter coordinate vectors of the form
"<1,2,3>" or "<1,2,3,4,5>".
c. The dimension of the image of A is
, and the image of A is a subspace of
(enter "RAn" with a specfic number for "n").
d. Find a basis for the image of A. Enter “a1" for aj, etc., or enter coordinate vectors of the form "<1,2,3>" or " <1,2,3,4,5>". Enter your answer as a comma separated
list of vectors.
A basis for the image of A is {
| }
e. The dimension of the kernel of A is
,and the kernel of A is a subspace of
(enter "R^n" with a specfic number for "n").
f. If z = (-3,3, –1,1,0), then Aãi =
Enter "a1" for āj, etc., or enter coordinate vectors of the form "<1,2,3>" or " <1,2,3,4,5>". Is xi in the
kernel of A? choose v
g. If 2 = (-4, –2, –2,0, 1), then Aa2 =
Is x2 in the kernel of A? choose v
h. If az = 32 – 4 =
, then Ax3 =
. Is x3 in the kernel of A? choose v
i. Find a basis for the kernel of A. Enter "a1" for ãi, etc., or enter coordinate vectors of the form "<1,2,3>" or "<1,2,3,4>". Enter your answer as a comma separated list
of vectors.
A basis for the kernel of A is {
Expert Solution

This question has been solved!
Explore an expertly crafted, step-by-step solution for a thorough understanding of key concepts.
This is a popular solution!
Trending now
This is a popular solution!
Step by step
Solved in 3 steps with 2 images

Recommended textbooks for you

Algebra and Trigonometry (6th Edition)
Algebra
ISBN:
9780134463216
Author:
Robert F. Blitzer
Publisher:
PEARSON

Contemporary Abstract Algebra
Algebra
ISBN:
9781305657960
Author:
Joseph Gallian
Publisher:
Cengage Learning

Linear Algebra: A Modern Introduction
Algebra
ISBN:
9781285463247
Author:
David Poole
Publisher:
Cengage Learning

Algebra and Trigonometry (6th Edition)
Algebra
ISBN:
9780134463216
Author:
Robert F. Blitzer
Publisher:
PEARSON

Contemporary Abstract Algebra
Algebra
ISBN:
9781305657960
Author:
Joseph Gallian
Publisher:
Cengage Learning

Linear Algebra: A Modern Introduction
Algebra
ISBN:
9781285463247
Author:
David Poole
Publisher:
Cengage Learning

Algebra And Trigonometry (11th Edition)
Algebra
ISBN:
9780135163078
Author:
Michael Sullivan
Publisher:
PEARSON

Introduction to Linear Algebra, Fifth Edition
Algebra
ISBN:
9780980232776
Author:
Gilbert Strang
Publisher:
Wellesley-Cambridge Press

College Algebra (Collegiate Math)
Algebra
ISBN:
9780077836344
Author:
Julie Miller, Donna Gerken
Publisher:
McGraw-Hill Education