Find the characteristic polynomial, the eigenvalues and a basis of eigenvectors associated to each eigenvalue for the matrix -17 -32 16 3 3 3 4 43 -8 A = 9 9 -40 9 -52 53 9 9 9 a) The characteristic polynomial is p(r) = det(ArI) = b) List all the eigenvalues of A separated by semicolons. c) For each of the eigenvalues that you have found in (b) (working from smallest to largest) give a basis of eigenvectors. If there is more than one vector in the basis for an eigenvalue, write them side by side in a matrix. If there are fewer than three eigenvalues, enter the zero vector in the answer fields that are not needed. i) Give a basis of eigenvectors associated to the smallest eigenvalue: b sin (a) ə əx ∞ α Ω a ii) If there is a second eigenvalue (the second-smallest), give a basis of eigenvectors associated to this eigenvalue. Otherwise, write the null vector. b sin (a) ə əx a Ω ܨܩܕ a E C
Find the characteristic polynomial, the eigenvalues and a basis of eigenvectors associated to each eigenvalue for the matrix -17 -32 16 3 3 3 4 43 -8 A = 9 9 -40 9 -52 53 9 9 9 a) The characteristic polynomial is p(r) = det(ArI) = b) List all the eigenvalues of A separated by semicolons. c) For each of the eigenvalues that you have found in (b) (working from smallest to largest) give a basis of eigenvectors. If there is more than one vector in the basis for an eigenvalue, write them side by side in a matrix. If there are fewer than three eigenvalues, enter the zero vector in the answer fields that are not needed. i) Give a basis of eigenvectors associated to the smallest eigenvalue: b sin (a) ə əx ∞ α Ω a ii) If there is a second eigenvalue (the second-smallest), give a basis of eigenvectors associated to this eigenvalue. Otherwise, write the null vector. b sin (a) ə əx a Ω ܨܩܕ a E C
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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
Transcribed Image Text:iii) If there is a third eigenvalue (the largest), give a basis of eigenvectors associated to this eigenvalue. Otherwise, write the null vector.
ab
sin (a)
∞
Ω
f
əx
Pi
8

Transcribed Image Text:Find the characteristic polynomial, the eigenvalues and a basis of eigenvectors associated to each eigenvalue for the matrix
-17 -32 16
3
3
43 -8
9
9
-40 -52
53
9
9
9
a) The characteristic polynomial is
p(r) = det(A — rI) =
b) List all the eigenvalues of A separated by semicolons.
For each of the eigenvalues that you have found in (b) (working from smallest to largest) give a basis of eigenvectors. If there is more than one vector in
the basis for an eigenvalue, write them side by side in a matrix. If there are fewer than three eigenvalues, enter the zero vector in the answer fields that are
not needed.
i) Give a basis of eigenvectors associated to the smallest eigenvalue:
ab
sin (a)
Ω
f
əx
ii) If there is a second eigenvalue (the second-smallest), give a basis of eigenvectors associated to this eigenvalue. Otherwise, write the null vector.
ab
sin (a)
∞
Ω
f
əx
ܗܘ ܪܐܣܘ ܝ
8
8
2
E
AZI
Pi
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