How can I find the eigenvectors and basis for the eigenspace of a given matrix?

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To find the eigenvectors and basis for the eigenspace of the matrix A = [6 16; -1 -4], the eigenvalues are λ = 4 and λ = -2. For λ = 4, the calculations yield the eigenvector proportional to [-8; 1], confirming that the basis for the eigenspace is spanned by this vector. The discussion clarifies that while normalization of eigenvectors is not necessary, it is acceptable to provide the unnormalized vectors. Additionally, it is noted that the second eigenvector corresponding to λ = -2 must also be determined to complete the basis for the eigenspace. Understanding these concepts is crucial for solving problems related to eigenvalues and eigenvectors effectively.
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Homework Statement


Im looking at finding the eigenvectors of a matrix but also a basis for the eigenspace

A = [ 6 16 ]
[ -1 -4 ]

lambda = 4
lambda = -2


Homework Equations


(A - lambda I ) v = 0


The Attempt at a Solution



So with the above equation I get:

for lambda = 4

[ 6 - 4 16 ] [ v1 ] = [ 0 ]
[ -1 -4 - 4 ] [ v2 ] [ 0 ]

so

2 v1 + 16 v2 = 0
-v1 - 8v2 = 0

so v1 = 8v2

and the basis for the eigenspace is span [ 8 ]
[ 1 ]

First is that right? because when I put it into an eigenvector calculator on the web it gives me
-8 instead of 8 but I can't see how I could get to that.

Second if this is the basis for the eigenspace then how can I find the eigenvectors for the eigenvalue?

thanks,
 
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jjones1573 said:
2 v1 + 16 v2 = 0
-v1 - 8v2 = 0

so v1 = 8v2

You made a sign error. v1=-8v2

ehild
 
Oh yeah that's right thanks.

Is it as simple as the vector is:

[-8v2]
[v2]

and the eigenspace is: span

[-8]
[1]
 
Sorry I realized this should have been posted in the calculus section would it be possible to have it moved?

I think what I have put above for the eigenspace is correct? But what about the eigenvector I can't seem to understand what this is.
 
(-8,1) multiplied by any number is an eigenvector. You need to find the other one, which belongs to the other eigenvalue lambda=2.
The two eigenvectors are the basis of the "eigenspace". You can choose the normalised vectors as basis.

ehild
 
Oh thanks. Do I need to normalise the vectors or is it fine to just find the two vectors and give that?
 
You do not need to normalize in principle.

ehild
 
ok thanks.
 
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