Matrix A is factored in the form PDP Use the Diagonalization Theorem to find the eigenvalues of A and a basis for each eigenspace. 1 1 1 2 11 2 1 2 4 00 1 0 10 1 A= 1 2 1 2 0 - 2 3 3 1 1 2 2 -1 0 0 1 1 1 1 Select the correct choice below and fill in the answer boxes to complete your choice. (Use a comma to separate vectors as needed.) A. There is one distinct eigenvalue, = A basis for the corresponding eigenspace is {} O B. In ascending order, the two distinct eigenvalues are , = and A, = Bases for the corresponding eigenspaces are and { }, respectively. O C. In ascending order, the three distinct eigenvalues are 1 = and A3 = Bases for the corresponding eigenspaces are { }. { }, and respectively.
Matrix A is factored in the form PDP Use the Diagonalization Theorem to find the eigenvalues of A and a basis for each eigenspace. 1 1 1 2 11 2 1 2 4 00 1 0 10 1 A= 1 2 1 2 0 - 2 3 3 1 1 2 2 -1 0 0 1 1 1 1 Select the correct choice below and fill in the answer boxes to complete your choice. (Use a comma to separate vectors as needed.) A. There is one distinct eigenvalue, = A basis for the corresponding eigenspace is {} O B. In ascending order, the two distinct eigenvalues are , = and A, = Bases for the corresponding eigenspaces are and { }, respectively. O C. In ascending order, the three distinct eigenvalues are 1 = and A3 = Bases for the corresponding eigenspaces are { }. { }, and respectively.
Advanced Engineering Mathematics
10th Edition
ISBN:9780470458365
Author:Erwin Kreyszig
Publisher:Erwin Kreyszig
Chapter2: Second-order Linear Odes
Section: Chapter Questions
Problem 1RQ
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![Matrix A is factored in the form PDP
Use the Diagonalization Theorem to find the eigenvalues of A and a basis for each eigenspace.
1
1
1
2 11
| 2
1
2
4 0 0
1
0 1 0
2
A= 1 2 1
= 2
- 2
11 2
2
- 1
0 0 1
1
1
6 3
Select the correct choice below and fill in the answer boxes to complete your choice.
(Use a comma to separate vectors as needed.)
O A. There is one distinct eigenvalue, A =
A basis for the corresponding eigenspace is {}.
O B. In ascending order, the two distinct eigenvalues are =
and A2 =
Bases for the corresponding eigenspaces are
O and { }, respectively.
O C. In ascending order, the three distinct eigenvalues are 1 =
and 13 =
Bases for the corresponding eigenspaces are { }, { }, and
{}, respectively.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F84cf688c-5562-46a2-a404-4071be093541%2F917940ba-3a54-4f33-9fff-0ba932889698%2Flx1i6ue_processed.png&w=3840&q=75)
Transcribed Image Text:Matrix A is factored in the form PDP
Use the Diagonalization Theorem to find the eigenvalues of A and a basis for each eigenspace.
1
1
1
2 11
| 2
1
2
4 0 0
1
0 1 0
2
A= 1 2 1
= 2
- 2
11 2
2
- 1
0 0 1
1
1
6 3
Select the correct choice below and fill in the answer boxes to complete your choice.
(Use a comma to separate vectors as needed.)
O A. There is one distinct eigenvalue, A =
A basis for the corresponding eigenspace is {}.
O B. In ascending order, the two distinct eigenvalues are =
and A2 =
Bases for the corresponding eigenspaces are
O and { }, respectively.
O C. In ascending order, the three distinct eigenvalues are 1 =
and 13 =
Bases for the corresponding eigenspaces are { }, { }, and
{}, respectively.
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