T/F: Whether a matrix is diagonalizable

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Homework Help Overview

The discussion revolves around determining whether the matrix [[2, 1, 0], [0, 2, 0], [0, 0, 3]] is diagonalizable. The problem is situated within the context of linear algebra, specifically focusing on matrix properties and diagonalization.

Discussion Character

  • Exploratory, Assumption checking, Conceptual clarification

Approaches and Questions Raised

  • Participants explore the characteristics of the matrix, questioning the implications of its triangular form and the distinctness of its eigenvalues. There is discussion about breaking the matrix into block components and the significance of the superdiagonal entry.

Discussion Status

Participants have engaged in a detailed examination of the matrix's structure and properties. Some have provided insights into the implications of the block form and the Jordan normal form, while others are questioning the necessity of brute force calculations versus identifying characteristics that indicate diagonalizability.

Contextual Notes

There is an emphasis on the matrix not being symmetric and the implications of having non-distinct eigenvalues. The discussion also touches on the constraints of the problem being framed as a true/false question.

Mr Davis 97
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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.




Homework Equations

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.
 

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