Linear Algebra Diagonalizable Matrix

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Homework Help Overview

The discussion revolves around the properties of diagonalizable matrices in the context of linear algebra, specifically focusing on 3x3 matrices. The original poster presents two problems: finding an invertible 3x3 matrix that is not diagonalizable and identifying a 3x3 matrix A such that A^6 + I3 = 0.

Discussion Character

  • Exploratory, Conceptual clarification, Assumption checking

Approaches and Questions Raised

  • Participants discuss the conditions under which a matrix is diagonalizable, particularly the need for linearly independent eigenvectors. There are questions about how to determine eigenvectors without constructing examples. Some participants explore the implications of the determinant in relation to the existence of certain matrices.

Discussion Status

Participants are actively engaging with the problems, offering insights and examples. There is a recognition of the need for clarification on diagonalization properties, and some guidance has been provided regarding the relationship between eigenvalues and diagonalizability. Multiple interpretations of the problems are being explored.

Contextual Notes

Some participants express uncertainty about their algebra skills and seek further understanding of the concepts involved. There is an acknowledgment of the need to verify properties of matrices through calculations, particularly in relation to eigenvalues and eigenvectors.

FinalStand
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Homework Statement


For each of the following, give an example if it exists. If it doesn't exist, explain why.
a) An invertible 3x3 matrix which is not diagonalizable.
c) An 3x3 matrix A with A^6+I3=0 (Hint: Use the determinant)


Homework Equations



For a):

I know in order for a matrix to be diagonalizable, the matrix A has to be similar with D (Diagonal Matrix). Which means having the same eigenvalues... Since the eigenvalues are on the main diagonal. All invertible matrix can't have 0 in the main diagonal in the reduced echelon form so it has to be diagonalizable so it does not exist...I am pretty sure this is not a good explanation, so I am asking for some clarification on diagonalization properties for invertible matrixe.

for b): I used the determinant like this: DetA^6 = -detI3 => (DetA)^6= -1. So it does not exist...Is it what the question meant?

I am not good with algebra so forgive me for my misunderstandings.


The Attempt at a Solution

 
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FinalStand said:

Homework Statement


For each of the following, give an example if it exists. If it doesn't exist, explain why.
a) An invertible 3x3 matrix which is not diagonalizable.
c) An 3x3 matrix A with A^6+I3=0 (Hint: Use the determinant)


Homework Equations



For a):

I know in order for a matrix to be diagonalizable, the matrix A has to be similar with D (Diagonal Matrix). Which means having the same eigenvalues... Since the eigenvalues are on the main diagonal. All invertible matrix can't have 0 in the main diagonal in the reduced echelon form so it has to be diagonalizable so it does not exist...I am pretty sure this is not a good explanation, so I am asking for some clarification on diagonalization properties for invertible matrixe.

for b): I used the determinant like this: DetA^6 = -detI3 => (DetA)^6= -1. So it does not exist...Is it what the question meant?

I am not good with algebra so forgive me for my misunderstandings.


The Attempt at a Solution


For a) a 3x3 matrix is diagonalizable if it has three linearly independent eigenvectors. The eigenvalues don't have much to do with being diagonalizable. Do you know an example of a 2x2 matrix that doesn't have two linearly independent eigenvectors, hence is not diagonalizable? For b), that's exactly right.
 
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That is from an example that teacher gave us. But how do you know the eigenvectors without constructing examples and checking everytime? How to tell what the eigenvectors are by just the matrix itself?
 
FinalStand said:
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That is from an example that teacher gave us. But how do you know the eigenvectors without constructing examples and checking everytime? How to tell what the eigenvectors are by just the matrix itself?
The eigenvalues of a triangular matrix are simply the diagonal entries, so 1 is the only eigenvalue of this matrix. So simply solve for the eigenvector(s):
$$\begin{bmatrix} 1 & 1 \\ 0 & 1\end{bmatrix} \begin{bmatrix} x \\ y \end{bmatrix} =\begin{bmatrix} x \\ y \end{bmatrix} $$
 
How do you tell if it is diagonalizable or not? It is a 3x3 matrix so... I am not sure. I can find a invertible matrix, but how do you know if it is diagonalizable?
 
FinalStand said:
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That is from an example that teacher gave us. But how do you know the eigenvectors without constructing examples and checking everytime? How to tell what the eigenvectors are by just the matrix itself?
You generally have to calculate what the eigenvectors are.

FinalStand said:
How do you tell if it is diagonalizable or not? It is a 3x3 matrix so... I am not sure. I can find a invertible matrix, but how do you know if it is diagonalizable?
Go back to the 2x2 case you noted. You know from class it's not diagonalizable. You should verify this on your own because it'll help you figure out the 3x3 case. You should be able to convince yourself it's invertible as well. So in the 2x2 case, there is an invertible matrix which isn't diagonalizable. Think about how you might find a 3x3 matrix that's similar.
 
can you just tell me how to find the diagonalizable matrix? Give me the basic steps just as a reminder. Thanks
 
FinalStand said:
can you just tell me how to find the diagonalizable matrix? Give me the basic steps just as a reminder. Thanks

What about all of the hints you've been given don't you understand? You find eigenvectors by solving an algebra problem. It's easy to find a diagonizable matrix. You want to find one that's not diagonalizable. Work by analogy from the 2x2 case.
 
Last edited:
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  • #10
FinalStand said:
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Yes, that works. Did you check that the only eigenvector is (1,0,0)?
 

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