Diagonalisability of a Matrix with Zero Vector Elements

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Homework Statement



Is the following matrix diagonalisable?

[0 0 0 0 0 ...0
0 1 0 0 0 ...0
0 0 2 0 0 ... 0
0 0 0 3 0 ...0
. . .
. . .
. . .
. .0
0 0 0 0 0 0...n]

(having trouble showing the mtarix, basically 0,1,2,3...n down the diagonal and zeroes off-diagonal)

Homework Equations



Given.

The Attempt at a Solution



I thought that because it contains the zero vector, the matrix doesn't have n linearly independent columns, thus not diagonalisable? I'm not entirely sure. Plus, is it possible to find the eigenvalues and eigenvectors for the matrix?
 
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If you mean

[tex]\begin{pmatrix}0&0&0&0&\ldots&0\\0&1&0&0&\ldots&0\\0&0&2&0&\ldots&0\\0&0&0&3&\ldots&0\\\vdots&\vdots&\vdots&\vdots&\ldots&\vdots\\0&0&0&0&\ldots&n\end{pmatrix}[/tex]

then isn't the matrix already diagonalized?
 
Yes, that's the matrix that I mean. :)

So, if the matrix has a zero column, it can still be diagonalisable?
I thought that if it didn't have n linearly independent vectors, it cannot diagonalisable...
 
[PLAIN said:
http://en.wikipedia.org/wiki/Diagonalizable_matrix]In[/PLAIN] linear algebra, a square matrix [itex]A[/itex] is called diagonalizable if it is similar to a diagonal matrix, i.e., if there exists an invertible matrix [itex]P[/itex] such that [itex]P^{-1}AP[/itex] is a diagonal matrix.

Obviously, since your matrix is diagonal, choosing [itex]P=I_n[/itex] (the [itex]n\times n[/itex] identity matrix) will show that it is diagonalizable.

I think you are mistaking a matrix's columns for its eigenvectors; if an [itex]n\times n[/itex] matrix doesn't have [itex]n[/itex] linearly independent eigenvectors it isn't diagonalizable.
 
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Okay, thank you! I should obviously read my notes better next time! :)

You've been a great help!