Matrix A is factored in the form PDP'. Use the Diagonalization Theorem to find the eigenvalues of A and a basis for each eigenspace. 20 -2 -20 -1 300 0 0 1 A= 2 3 4 = | 0 1 2 0 3 0 2 1 4 0 0 3 1 0 0 0 0 2 -10 -2 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 { O B. In ascending order, the two distinct eigenvalues are 11 = and , = Bases for the corresponding eigenspaces are { and { }, respectively. O C. In ascending order, the three distinct eigenvalues are , = , and 13 = 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. 20 -2 -20 -1 300 0 0 1 A= 2 3 4 = | 0 1 2 0 3 0 2 1 4 0 0 3 1 0 0 0 0 2 -10 -2 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 { O B. In ascending order, the two distinct eigenvalues are 11 = and , = Bases for the corresponding eigenspaces are { and { }, respectively. O C. In ascending order, the three distinct eigenvalues are , = , and 13 = 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
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
Transcribed Image Text:5.3.6
Matrix A is factored in the form PDP
Use the Diagonalization Theorem to find the eigenvalues of A and a basis for each eigenspace.
20 -2
-2 0
- 1
30 0
0 0
1
A=
2 3 4
1
2
0 3 0
1 4
0 0
3.
1
0 0 2
-10 -2
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
В.
In ascending order, the two distinct eigenvalues are , =
and 12 =
Bases for the corresponding eigenspaces are { } and { }, respectively.
O C. In ascending order, the three distinct eigenvalues are 1 =
,12 =
and A3 =
Bases for the corresponding eigenspaces are { }. { }, and { }, respectively.
![Let B be the basis of P, consisting of the three Laguerre polynomials 1, 1-t, and 2-4t+t, and let p(t) = 4 - 4t + 2t. Find the coordinate vector of p relative to B.
(p]g =](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F17636a1f-5478-4a39-bbde-caed22af3378%2Fb5380b29-7cd1-484c-8ba2-a74936982563%2F4xum7v_processed.png&w=3840&q=75)
Transcribed Image Text:Let B be the basis of P, consisting of the three Laguerre polynomials 1, 1-t, and 2-4t+t, and let p(t) = 4 - 4t + 2t. Find the coordinate vector of p relative to B.
(p]g =
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