## Determining if a matrix is diagonalizable with explanation

1. The problem statement, all variables and given/known data

Determine if this matrix is diagonalizable and explain why or why not.

[ 2 1 0 0 0 ]
[ 0 2 1 0 0 ]
[ 0 0 2 1 0 ]
[ 0 0 0 2 1 ]
[ 0 0 0 0 2 ]

2. Relevant equations

No equations provided and the use of a calculator will be prohibited on the test, so thats out of the question. I can find the determinant via expansion, but that doesn't help really.

3. The attempt at a solution

So I'm pretty confident that this is not diagonalizable because the only eigenvalue seems to be 2 with multiplicity 5, although i'm not sure that actually proves anything. Additionally, I'm fairly certain that because the study guide has this as a 5x5 matrix with calculator use prohibited, there must be a way, just from the shape, to determine whether it's diagonalizable. Does anyone have any tips?

Thank you so much for any help!
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 One trick is to just take the matrix you have and row reduce it until you have only diagonal entries left. If you can do that, you have a diagonalizable matrix.

 Quote by Muphrid One trick is to just take the matrix you have and row reduce it until you have only diagonal entries left. If you can do that, you have a diagonalizable matrix.
it row reduces to the identity matrix. Is that indicative of anything specific?

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## Determining if a matrix is diagonalizable with explanation

 Quote by Muphrid One trick is to just take the matrix you have and row reduce it until you have only diagonal entries left. If you can do that, you have a diagonalizable matrix.
Got a reference for that?? I don't think what you say is true...

The best way to do this exercise is find the eigenvectors and see if they span the space.

 Quote by micromass Got a reference for that?? I don't think what you say is true... The best way to do this exercise is find the eigenvectors and see if they span the space.
So I've found all eigenvalues to be equal to 2, the first eigenvector i think is:

[1]
[0]
[0]
[0]
[0]

and the other four all all 5x1 zero vectors.

But what does that mean in the context of the question?

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 Quote by LinAlgStudent 1. The problem statement, all variables and given/known data Determine if this matrix is diagonalizable and explain why or why not. [ 2 1 0 0 0 ] [ 0 2 1 0 0 ] [ 0 0 2 1 0 ] [ 0 0 0 2 1 ] [ 0 0 0 0 2 ] 2. Relevant equations No equations provided and the use of a calculator will be prohibited on the test, so thats out of the question. I can find the determinant via expansion, but that doesn't help really. 3. The attempt at a solution So I'm pretty confident that this is not diagonalizable because the only eigenvalue seems to be 2 with multiplicity 5, although i'm not sure that actually proves anything. Additionally, I'm fairly certain that because the study guide has this as a 5x5 matrix with calculator use prohibited, there must be a way, just from the shape, to determine whether it's diagonalizable. Does anyone have any tips? Thank you so much for any help!
The matrix (A) above is the matrix representation of a linear transformation T with respect to the basis e_1=(1,0,0,0,0),...,e_5 = (0,0,0,0,1). If a transformation (i.e., a matrix) is diagonalizable, its matrix becomes diagonal when re-expressed in some other basis f_1, f_2, f_3, f_4, f_5. Since two similar matrices have the same eigenvalues, the "diagonal" would need to be 5 times the identity matrix, and that means that the f_i would have to be eigenvectors of T (i.e., of the matrix A). In turn, that means that there must be 5 linearly independent eigenvectors. You can determine the eigenspace of A and check whether its dimensionality is 5.

RGV

 Quote by Ray Vickson The matrix (A) above is the matrix representation of a linear transformation T with respect to the basis e_1=(1,0,0,0,0),...,e_5 = (0,0,0,0,1). If a transformation (i.e., a matrix) is diagonalizable, its matrix becomes diagonal when re-expressed in some other basis f_1, f_2, f_3, f_4, f_5. Since two similar matrices have the same eigenvalues, the "diagonal" would need to be 5 times the identity matrix, and that means that the f_i would have to be eigenvectors of T (i.e., of the matrix A). In turn, that means that there must be 5 linearly independent eigenvectors. You can determine the eigenspace of A and check whether its dimensionality is 5. RGV
Provided that all the eigenvectors of A are zero vectors save for one of them which has only one nonzero entry, wouldn't that suggest that the eigenspace of A is only 1 dimensional? So, in order for A to be diagonalizable, the eigenspace would have to be of dimension 5, but it is of dimension 1 so it is not diagonalizable?
 For further exploration, research Jordan matrix and generalized eigenvector. Yes, because of what I know, I see that it is in Jordan form, and so it is "as close to diagonal" as it will ever be. I also like the method explained above, find the eigenvectors for the sole eigenvalue, "in the end there will be only one." (The zero vector is never called an eigenvector, otherwise it would always be one, A0=λ0, though eigenvalues can be zero. )

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 Quote by LinAlgStudent Provided that all the eigenvectors of A are zero vectors save for one of them which has only one nonzero entry, wouldn't that suggest that the eigenspace of A is only 1 dimensional? So, in order for A to be diagonalizable, the eigenspace would have to be of dimension 5, but it is of dimension 1 so it is not diagonalizable?
Zero vectors do not count as eigenvectors (essentially by definition), so the eigenspace is, indeed, one-dimensional. So, YES: the matrix is not diagonalizable.

In fact, the matrix is already in its Jordan Canonical Form, and that consists of a single Jordan block of dimension 5. A diagonalizable matrix would have to have a diagonal Jordan Form.

RGV
 Yes, I was mistaken; I thought I'd uncovered a quick way to work the problem.

 Tags diagonalizable, linear algebra, matrices, matrix