Diagonalisability of a Matrix with Zero Vector Elements

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Homework Help Overview

The discussion revolves around the diagonalizability of a specific matrix that has zero elements in some columns and non-zero elements along the diagonal. The matrix is presented in a format where it is clear that it has a diagonal structure with values 0, 1, 2, 3, ..., n along the diagonal and zeros elsewhere.

Discussion Character

  • Conceptual clarification, Assumption checking

Approaches and Questions Raised

  • The original poster questions whether the presence of a zero column affects the diagonalizability of the matrix and expresses uncertainty about the conditions for diagonalizability, particularly regarding linear independence of columns and eigenvalues.

Discussion Status

Participants are exploring the implications of the matrix's structure on its diagonalizability. Some guidance has been offered regarding the definition of diagonalizability and the relationship between eigenvectors and linear independence, but no consensus has been reached on the original poster's understanding of these concepts.

Contextual Notes

The discussion includes references to linear algebra concepts and definitions, highlighting potential misunderstandings about the relationship between a matrix's columns and its eigenvectors. There is an acknowledgment of the need for clarity on these topics.

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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.
 
Last edited by a moderator:
Okay, thank you! I should obviously read my notes better next time! :)

You've been a great help!
 

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