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 8 4 8 2 2 1 2 2 5 0 0 3 A = 1 3 1 = 2 0 - 1 0 1 0 8 4 1 2 2 2 -2 0 0 1 1 1 4 4. 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, 1 = A basis for the corresponding eigenspace is { }. O B. In ascending order, the two distinct eigenvalues are , = and 2 = Bases for the corresponding eigenspaces are and {}. O C. In ascending order, the three distinct eigenyalues are M = and λ Bases for the corresponding eigenspaces are

Advanced Engineering Mathematics
10th Edition
ISBN:9780470458365
Author:Erwin Kreyszig
Publisher:Erwin Kreyszig
Chapter2: Second-order Linear Odes
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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
8
5 0 0
4
8
2 2 1
2
2
1
1
3
A =
1 3 1
2
- 1
0 1 0
8
4
8
1 2 2
2
0 0 1
1
1
1
4
2
4
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 basis for the corresponding eigenspace is { }.
B. In ascending order, the two distinct eigenvalues are ^1
and 2 = . Bases for the corresponding eigenspaces are
{
and { }, respectively.
%3D
O C. In ascending order, the three distinct eigenvalues are 4 =, ^2 =, and 13
Bases for the corresponding eigenspaces are
{);{), and {}.
respectivelv.
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 8 5 0 0 4 8 2 2 1 2 2 1 1 3 A = 1 3 1 2 - 1 0 1 0 8 4 8 1 2 2 2 0 0 1 1 1 1 4 2 4 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 basis for the corresponding eigenspace is { }. B. In ascending order, the two distinct eigenvalues are ^1 and 2 = . Bases for the corresponding eigenspaces are { and { }, respectively. %3D O C. In ascending order, the three distinct eigenvalues are 4 =, ^2 =, and 13 Bases for the corresponding eigenspaces are {);{), and {}. respectivelv.
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