Finding Jordan canonical form of these matrices

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Homework Help Overview

The discussion revolves around finding the Jordan canonical form of several matrices and determining bases for their generalized eigenspaces. The matrices under consideration include 2x2 and 3x3 matrices, with specific attention to their eigenvalues and eigenvectors.

Discussion Character

  • Exploratory, Assumption checking, Conceptual clarification

Approaches and Questions Raised

  • Participants discuss the identification of generalized eigenvectors and the structure of Jordan blocks for the given matrices. There are questions about the completeness of the basis for the generalized eigenspaces, particularly for 2x2 matrices.

Discussion Status

Some participants have shared their findings regarding the basis elements for the generalized eigenspaces, while others are seeking clarification on how to find additional eigenvectors and determine the correct Jordan block configurations. There is an ongoing exploration of the implications of eigenvalue multiplicities and eigenspace dimensions.

Contextual Notes

Participants note that certain matrices have eigenvalues with multiplicities greater than their corresponding eigenspace dimensions, raising questions about the structure of the Jordan blocks. There is also mention of constraints related to homework rules and the need for a thorough understanding of the concepts involved.

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Homework Statement


For each matrix A, I need to find a basis for each generalized eigenspace of ## L_A ## consisting of a union of disjoint cycles of generalized eigenvectors. Then I need to find the Jordan canonical form of A.
The matrices are:
## a)
\begin{pmatrix}
1 & 1\\
-1 & 3
\end{pmatrix}

b)
\begin{pmatrix}
1 & 2\\
3 & 2
\end{pmatrix}

c)
\begin{pmatrix}
11 & -4 & -5\\
21 & -8 & -11\\
3 & -1 & 0
\end{pmatrix}

d)
\begin{pmatrix}
2 & 1 & & \\
& 2 & 1 & \\
& & 3 & \\
& 1 & -1 & 3
\end{pmatrix} ##

Homework Equations


## P_A(t)=det(A-tI) ##
## K_\lambda = \left \{ (A-\lambda I)^j \right \}, 1\leq j \leq p ## where p is the minimum value for which ## (A-\lambda I)^j(x)=0## for a generalized eigenvector x

The Attempt at a Solution


I hope you don't mind if I link to a picture of what I have so far, as I don't want to go through the trouble of typing it all up.
http://prntscr.com/am7si6
The squiggles next to some of the matrices are just messily written words indicating that there is only one generalized eigenvector for a given basis.

For (a), I determined that the only basis element was (1,1)
For (b), I found 2 single-element basis which contained (1,-1) and (1,1.5)
For (c), I once again found that each generalized eigenspace only had one generalized eigenvector. However, what I'm not sure of is how to determine what the Jordan blocks are in this case- i.e, I don't know how to determine if
## J=\begin{pmatrix}
-1 & 1 & \\
& -1 & \\
& & 2
\end{pmatrix} ## or
##J=\begin{pmatrix}
-1 & & \\
& 2 & 1\\
& & 2
\end{pmatrix}##
For (d), I have not yet started. I just need to confirm that my current approach of raising the power of the generalized matrices to find generalized eigenvectors is correct, and I need to know how to figure out what the Jordan blocks are.
 
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bad throwaway name said:

Homework Statement


For each matrix A, I need to find a basis for each generalized eigenspace of ## L_A ## consisting of a union of disjoint cycles of generalized eigenvectors. Then I need to find the Jordan canonical form of A.
The matrices are:
## a)
\begin{pmatrix}
1 & 1\\
-1 & 3
\end{pmatrix}

b)
\begin{pmatrix}
1 & 2\\
3 & 2
\end{pmatrix}

c)
\begin{pmatrix}
11 & -4 & -5\\
21 & -8 & -11\\
3 & -1 & 0
\end{pmatrix}

d)
\begin{pmatrix}
2 & 1 & & \\
& 2 & 1 & \\
& & 3 & \\
& 1 & -1 & 3
\end{pmatrix} ##

Homework Equations


## P_A(t)=det(A-tI) ##
## K_\lambda = \left \{ (A-\lambda I)^j \right \}, 1\leq j \leq p ## where p is the minimum value for which ## (A-\lambda I)^j(x)=0## for a generalized eigenvector x

The Attempt at a Solution


I hope you don't mind if I link to a picture of what I have so far, as I don't want to go through the trouble of typing it all up.
http://prntscr.com/am7si6
The squiggles next to some of the matrices are just messily written words indicating that there is only one generalized eigenvector for a given basis.

For (a), I determined that the only basis element was (1,1)
For (b), I found 2 single-element basis which contained (1,-1) and (1,1.5)
For (c), I once again found that each generalized eigenspace only had one generalized eigenvector. However, what I'm not sure of is how to determine what the Jordan blocks are in this case- i.e, I don't know how to determine if
## J=\begin{pmatrix}
-1 & 1 & \\
& -1 & \\
& & 2
\end{pmatrix} ## or
##J=\begin{pmatrix}
-1 & & \\
& 2 & 1\\
& & 2
\end{pmatrix}##
For (d), I have not yet started. I just need to confirm that my current approach of raising the power of the generalized matrices to find generalized eigenvectors is correct, and I need to know how to figure out what the Jordan blocks are.

The eigenvalues for (c) are -1,2,2 so the eigenvalue 2 has multiplicity two but eigenspace dimensionality one. Therefore, the Jordan block is for 2.
 
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bad throwaway name said:
For (a), I determined that the only basis element was (1,1)
For (a), you have a 2x2 matrix, so the basis should comprise two vectors.
 
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vela said:
For (a), you have a 2x2 matrix, so the basis should comprise two vectors.
How do I find the other one? For the matrix U, I don't know how I would find another eigenvector for what it is, and U2 is the zero matrix. 2 was also the only eigenvalue I was able to find.

Ray Vickson said:
The eigenvalues for (c) are -1,2,2 so the eigenvalue 2 has multiplicity two but eigenspace dimensionality one. Therefore, the Jordan block is for 2.
Not on any of my assignments, but how would I do it for a matrix with multiple blocks but only one eigenvalue?
 
bad throwaway name said:
How do I find the other one? For the matrix U, I don't know how I would find another eigenvector for what it is, and U2 is the zero matrix. 2 was also the only eigenvalue I was able to find.
If ##\vec{p}_1## is the eigenvector, the generalized eigenvector satisfies ##(A-\lambda I)\vec{p}_2 = \vec{p}_1##. That'll give you a more useful equation to solve.
 
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