Finding Jordan canonical form of these matrices

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SUMMARY

This discussion focuses on finding the Jordan canonical form of several matrices, specifically matrices (a), (b), (c), and (d). The participants utilize the characteristic polynomial, defined as ## P_A(t)=det(A-tI) ##, and generalized eigenspaces, represented by ## K_\lambda = \left \{ (A-\lambda I)^j \right \} ##, to derive generalized eigenvectors. For matrix (c), the eigenvalues are determined to be -1, 2, and 2, indicating a Jordan block for the eigenvalue 2 due to its multiplicity of two and eigenspace dimensionality of one. The discussion emphasizes the need to identify additional eigenvectors and Jordan blocks for accurate representation of the Jordan form.

PREREQUISITES
  • Understanding of Jordan canonical form and its significance in linear algebra.
  • Familiarity with eigenvalues and eigenvectors, particularly generalized eigenvectors.
  • Knowledge of characteristic polynomials and determinants, specifically ## P_A(t)=det(A-tI) ##.
  • Ability to perform matrix operations, including raising matrices to powers for generalized eigenspaces.
NEXT STEPS
  • Study the process of finding generalized eigenvectors for matrices with repeated eigenvalues.
  • Learn how to construct Jordan blocks from eigenvalues and their corresponding eigenspaces.
  • Explore the implications of matrix similarity and how it relates to Jordan forms.
  • Investigate the use of software tools like MATLAB or Python's NumPy for computing Jordan forms of matrices.
USEFUL FOR

Students and professionals in mathematics, particularly those studying linear algebra, matrix theory, or anyone involved in computational mathematics seeking to understand Jordan canonical forms and their applications.

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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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