T/F: Whether a matrix is diagonalizable

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The matrix under discussion, ##\begin{bmatrix} 2 & 1 & 0 \\ 0 & 2 & 0 \\ 0 & 0 & 3 \end{bmatrix}##, is not diagonalizable due to the presence of a non-zero entry (1) on the superdiagonal, indicating a Jordan block structure. The diagonal entries are not distinct, which further complicates diagonalization. The block matrix structure allows for the analysis of the smaller matrix, ##A##, which also proves to be non-diagonalizable through brute force calculations. The eigenvalues are derived from the diagonal, but the presence of the superdiagonal entry suggests a two-dimensional eigenspace, confirming the non-diagonalizability of the original matrix. Thus, the conclusion is that the matrix is not diagonalizable.
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Homework Statement



T/F: The matrix ##\begin{bmatrix} 2 & 1 & 0 \\ 0 & 2 & 0 \\ 0 & 0 & 3 \end{bmatrix}## is diagonalizable.




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The Attempt at a Solution


Is there a quick way to tell whether the matrix is diagonalizable? Since it's a T/F question, that would seem to be the case. The matrix is not symmetric, so we can't conclude anything there. Also, even though it is triangular, the entries on the diagonal are not distinct, so that's a dead end too.
 
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You can consider it as a matrix which is built by two blocks: ##\begin{bmatrix}2&1&0\\0&2&0\\0&0&3\end{bmatrix}=\begin{bmatrix}A&0\\0&3\end{bmatrix}##. Now you only have to deal with ##A##.
 
fresh_42 said:
You can consider it as a matrix which is built by two blocks: ##\begin{bmatrix}2&1&0\\0&2&0\\0&0&3\end{bmatrix}=\begin{bmatrix}A&0\\0&3\end{bmatrix}##. Now you only have to deal with ##A##.
So by brute force calculation I found that A is not diagonalizable. Why does this imply that the bigger matrix is not diagonalizable? Also, is there something characteristic of A that should tell me it's not diagonalizable, or do you have to brute force calculate it?
 
Mr Davis 97 said:
So by brute force calculation I found that A is not diagonalizable. Why does this imply that the bigger matrix is not diagonalizable?
If it was diagonalizable, then ##A## would be diagonalized as well. (Edit: And the block with ##3## doesn't contribute to ##A##.)
Also, is there something characteristic of A that should tell me it's not diagonalizable, or do you have to brute force calculate it?
Yes, the ##1## beside the diagonal (on the superdiagonal) is the reason. The matrix is in the Jordan normal form. It is already almost diagonal and one can read the eigenvalues. The ##1## indicates, that there is a two-dimensional eigenspace.
 
Question: A clock's minute hand has length 4 and its hour hand has length 3. What is the distance between the tips at the moment when it is increasing most rapidly?(Putnam Exam Question) Answer: Making assumption that both the hands moves at constant angular velocities, the answer is ## \sqrt{7} .## But don't you think this assumption is somewhat doubtful and wrong?

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