Advanced Engineering Mathematics
Advanced Engineering Mathematics
10th Edition
ISBN: 9780470458365
Author: Erwin Kreyszig
Publisher: Wiley, John & Sons, Incorporated
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Matrix A is factored in the form PDP-1. Use the Diagonalization Theorem to find the eigenvalues of A and a basis for each eigenspace.
A =
322
1 2 1 =
112
2
1
1
1
1
0 - 1
0
- 1
500
0 1 0
001
1
4
1
4
1
4
1
4
1
4
3
1
4
3
4
1
4
Select the correct choice below and fill in the answer boxes to complete your choice.
(Use comma to separate vectors as needed.)
O A. There is one distinct eigenvalue, λ = A basis for the corresponding eigenspace is
OB. In ascending order, the two distinct eigenvalues are ^, =
O C. In ascending order, the three distinct eigenvalues are ₁ =
and =
-C
Bases for the corresponding eigenspaces are and { }, respectively.
^₂=₁, and 23: Bases for the corresponding eigenspaces are 4., and respectively.
=
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Transcribed Image Text:Matrix A is factored in the form PDP-1. Use the Diagonalization Theorem to find the eigenvalues of A and a basis for each eigenspace. A = 322 1 2 1 = 112 2 1 1 1 1 0 - 1 0 - 1 500 0 1 0 001 1 4 1 4 1 4 1 4 1 4 3 1 4 3 4 1 4 Select the correct choice below and fill in the answer boxes to complete your choice. (Use comma to separate vectors as needed.) O A. There is one distinct eigenvalue, λ = A basis for the corresponding eigenspace is OB. In ascending order, the two distinct eigenvalues are ^, = O C. In ascending order, the three distinct eigenvalues are ₁ = and = -C Bases for the corresponding eigenspaces are and { }, respectively. ^₂=₁, and 23: Bases for the corresponding eigenspaces are 4., and respectively. =
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