Create the symmetric matrix A = (i) (ii) (iii) (iv) C a b Show that it has an eigenvector | 1 ), simply by multiplying the vector by A, and give its a b b C a cusing your code number. eigenvalue. Find the other eigenvalues using the result from (i). Write down the two sets of equations that would need to be solved to find the remaining eigenvectors - you do not need to solve them. Make a statement about the dimensions of the eigenspaces giving reasons. Show that the eigenvalues satisfy Gershgorin's theorem.
Create the symmetric matrix A = (i) (ii) (iii) (iv) C a b Show that it has an eigenvector | 1 ), simply by multiplying the vector by A, and give its a b b C a cusing your code number. eigenvalue. Find the other eigenvalues using the result from (i). Write down the two sets of equations that would need to be solved to find the remaining eigenvectors - you do not need to solve them. Make a statement about the dimensions of the eigenspaces giving reasons. Show that the eigenvalues satisfy Gershgorin's theorem.
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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Question
a is 1, b is 2, c is 9
![Create the symmetric matrix A =
(i)
(ii)
(iii)
C a b
α b
b
C a
Show that it has an eigenvector 1, simply by multiplying the vector by A, and give its
(iv)
cusing your code number.
eigenvalue.
Find the other eigenvalues using the result from (i).
Write down the two sets of equations that would need to be solved to find the remaining
eigenvectors - you do not need to solve them. Make a statement about the dimensions of
the eigenspaces giving reasons.
Show that the eigenvalues satisfy Gershgorin's theorem.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F38e693cf-3870-4eab-9920-bd211e6a8ee6%2F4101361e-af34-43f8-8a0b-34cfdd4fffe7%2Fvsbq7mf_processed.png&w=3840&q=75)
Transcribed Image Text:Create the symmetric matrix A =
(i)
(ii)
(iii)
C a b
α b
b
C a
Show that it has an eigenvector 1, simply by multiplying the vector by A, and give its
(iv)
cusing your code number.
eigenvalue.
Find the other eigenvalues using the result from (i).
Write down the two sets of equations that would need to be solved to find the remaining
eigenvectors - you do not need to solve them. Make a statement about the dimensions of
the eigenspaces giving reasons.
Show that the eigenvalues satisfy Gershgorin's theorem.
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