Linear Algebra - diagonalizable matrix

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Homework Help Overview

The discussion revolves around determining the conditions under which a given upper triangular matrix is diagonalizable. The matrix in question is A, defined as a 3x3 matrix with specific entries, and the variable t is introduced as a parameter that may affect diagonalizability.

Discussion Character

  • Exploratory, Assumption checking, Problem interpretation

Approaches and Questions Raised

  • Participants explore the relationship between eigenvalues and eigenvectors, particularly focusing on the need for three linearly independent eigenvectors for diagonalizability. Some participants question the implications of repeated eigenvalues and the necessity of matching geometric and algebraic multiplicities.

Discussion Status

There are varying interpretations of the conditions for diagonalizability. Some participants suggest that a specific value of t may yield diagonalizability, while others emphasize the importance of the eigenspace dimensionality for the eigenvalue λ=5. The discussion is ongoing, with participants examining different scenarios and values for t.

Contextual Notes

Participants note that the eigenvector corresponding to the zero vector is not valid, and there are discussions about the implications of choosing specific values for t on the dimensionality of the eigenspace. The conversation reflects uncertainty regarding the exact conditions for diagonalizability based on the matrix's structure and the parameter t.

PirateFan308
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Homework Statement


For the following matrix, find the value of t, if any, so that the following matrix is diagonalizable

[tex]A=<br /> \begin{pmatrix}<br /> 5 & -2 & 4\\<br /> 0 & 3 & t\\<br /> 0 & 0 & 5<br /> \end{pmatrix}[/tex]


The Attempt at a Solution


In order for A to be diagonalizable, we need 3 linearly independent eigenvectors, that is, 3 linearly independent eigenvalues

[tex]det(A-xI)=det<br /> \begin{pmatrix}<br /> 5-x & -2 & 4\\<br /> 0 & 3-x & t\\<br /> 0 & 0 & 5-x<br /> \end{pmatrix}[/tex]
[tex]=(5-x)det<br /> \begin{pmatrix}<br /> 3-x & t\\<br /> 0 & 5-x<br /> \end{pmatrix}[/tex]
[tex]= (5-x)((3-x)(5-x)-0t)[/tex]

The eigenvalues are 3 and 5.
Obviously, it doesn't matter what t is, we will not be able to get the matrix A to be diagonalizable.

My professor said that he thought there was one correct value for t (but he wasn't sure). Is what I've done correct?
 
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PirateFan308 said:

Homework Statement


For the following matrix, find the value of t, if any, so that the following matrix is diagonalizable

[tex]A=<br /> \begin{pmatrix}<br /> 5 & -2 & 4\\<br /> 0 & 3 & t\\<br /> 0 & 0 & 5<br /> \end{pmatrix}[/tex]


The Attempt at a Solution


In order for A to be diagonalizable, we need 3 linearly independent eigenvectors, that is, 3 linearly independent eigenvalues

[tex]det(A-xI)=det<br /> \begin{pmatrix}<br /> 5-x & -2 & 4\\<br /> 0 & 3-x & t\\<br /> 0 & 0 & 5-x<br /> \end{pmatrix}[/tex]
[tex]=(5-x)det<br /> \begin{pmatrix}<br /> 3-x & t\\<br /> 0 & 5-x<br /> \end{pmatrix}[/tex]
[tex]= (5-x)((3-x)(5-x)-0t)[/tex]

The eigenvalues are 3 and 5.
Obviously, it doesn't matter what t is, we will not be able to get the matrix A to be diagonalizable.

My professor said that he thought there was one correct value for t (but he wasn't sure). Is what I've done correct?

It is not a matter of whether or not you have a repeated eigenvalue; what is important is whether the geometric and algebraic multiplicities of an eigenvalue are the same. In other words, the dimensionality of the eigenspace for eigenvalue λ=5 needs to be determined. If λ=5 has two linearly-independent eigenvectors, then the matrix will be diagonalizable, so you need to find eigenvectors.

RGV
 
There is a value of t for which the matrix is diagonalizable.
 
If [itex]\begin{pmatrix}x \\ y \\ z\end{pmatrix}[/tex] is an eigenvector for A, with eigenvalue 5, then<br /> [tex]\begin{pmatrix}5 & -2 & 4 \\ 0 & 3 & t \\ 0 & 0 & 5\end{pmatrix}\begin{pmatrix}x \\ y \\ z\end{pmatrix}= 5\begin{pmatrix}x \\ y \\ z\end{pmatrix}[/tex]<br /> [tex]\begin{pmatrix}5x- 2y+ 4z \\ 3y+ tz \\ 5z\end{pmatrix}= \begin{pmatrix}5x \\ 5y \\ 5z\end{pmatrix}[/tex]<br /> <br /> and so must satify the equations 5x- 2y+ z= 5x, 3y+ tz= 5y, 5z= 5z.<br /> <br /> Note that the "5x" terms cancel in the first equation and then there is NO "x" in the equations. One eigenvector with eigenvalue is <1, 0, 0>. There is a single value of t that makes the first two equations identical, giving more than one dimension for the eigenspace.[/itex]
 
HallsofIvy said:
If [tex]\begin{pmatrix}x \\ y \\ z\end{pmatrix}[/tex] is an eigenvector for A, with eigenvalue 5, then
[tex]\begin{pmatrix}5 & -2 & 4 \\ 0 & 3 & t \\ 0 & 0 & 5\end{pmatrix}\begin{pmatrix}x \\ y \\ z\end{pmatrix}= 5\begin{pmatrix}x \\ y \\ z\end{pmatrix}[/tex]
[tex]\begin{pmatrix}5x- 2y+ 4z \\ 3y+ tz \\ 5z\end{pmatrix}= \begin{pmatrix}5x \\ 5y \\ 5z\end{pmatrix}[/tex]

and so must satify the equations 5x- 2y+ z= 5x, 3y+ tz= 5y, 5z= 5z.

Note that the "5x" terms cancel in the first equation and then there is NO "x" in the equations. One eigenvector with eigenvalue is <1, 0, 0>. There is a single value of t that makes the first two equations identical, giving more than one dimension for the eigenspace.

So for eigenvalue 3, if [tex]\begin{pmatrix}x' \\ y' \\ z'\end{pmatrix}[/tex] is also an eigenvector for A

[tex]\begin{pmatrix} 5&-2&4\\0&3&t\\0&0&5\end{pmatrix}\begin{pmatrix}x'\\y'\\z'\end{pmatrix} = 3\begin{pmatrix}x'\\y'\\z'\end{pmatrix}[/tex]

Where there are no free variables, no matter what t is, and [tex]5x'-2y'+4z'=3x'[/tex] and [tex]3y'+tz'=3z'[/tex] and [tex]5z'=3z'[/tex] means that [tex]x'=y'=z'=0[/tex] correct?

So if t=4, the matrix A will always be diagonalizable?

We can say that the 3 linearly independent eigenvectors are (if for the second eigenvector, we take z=1 and x=1 and for the third eigenvector we take z=2 and x=2 because both are free):
[tex]\begin{pmatrix} 0 \\ 0 \\ 0 \end{pmatrix} ~and~~ \begin{pmatrix}1 \\ 2 \\ 1 \end{pmatrix} ~and~~ \begin{pmatrix}1 \\ 4 \\ 2 \end{pmatrix}[/tex]

But there are infinitely many eigenvectors, I just chose these 3. Is this correct?
 
But i just realized that the eigenvector [tex]\begin{pmatrix} 0\\0\\0 \end{pmatrix}[/tex]
isn't a proper eigenvector because it is all 0. So I could take the eigenvectors (if for the first eigenvector, we take z=3 and x=1):
[tex]\begin{pmatrix} 1 \\ 6 \\ 3 \end{pmatrix} ~and~~ \begin{pmatrix}1 \\ 2 \\ 1 \end{pmatrix} ~and~~ \begin{pmatrix}1 \\ 4 \\ 2 \end{pmatrix}[/tex]

Is this now correct?
 

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