Minimal Polynomial and Jordan Form

In summary, the possibilities for the Jordan form of A are a 6x6 matrix containing one or more 3x3 Jordan blocks, with the remaining entries being zeros or a combination of 2x2 and 1x1 Jordan blocks. The rank of A can be determined by using the Jordan forms found and applying the formula rank(A) + dim N(A) = n, where n = 6.
  • #1
aznkid310
109
1

Homework Statement


Suppose that A is a 6x6 matrix with real values and has a min. poly of p(s) = s^3.

a) Find the Characteristic polynomial of A
b) What are the possibilities for the Jordan form of A?
c) What are the possibilities of the rank of A?


Homework Equations



See below.

The Attempt at a Solution



a) I only see that 3 of the eigenvalues are zero, but don't know how to find the rest for the characterisitic polynomial

b) The Jordan blocks can be size 1,2, or 3 i.e. [L 1 0; 0 L 1; 0 0 L], [L 0 0; 0 L 0; 0 0 L], [L 1 0; 0 L 0; 0 0 L] where L are the eigenvalues from the min. poly. (equal to zero)

c) rank(A) + dim N(A) = n, where N(A) is the nullspace of A, and n = 6. Do I just need to find the nullspace of A (and if so, how?) or am I going down the wrong direction.
 
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  • #2
aznkid310 said:

Homework Statement


Suppose that A is a 6x6 matrix with real values and has a min. poly of p(s) = s^3.

a) Find the Characteristic polynomial of A
b) What are the possibilities for the Jordan form of A?
c) What are the possibilities of the rank of A?

Homework Equations



See below.

The Attempt at a Solution



a) I only see that 3 of the eigenvalues are zero, but don't know how to find the rest for the characterisitic polynomial

It is a theorem that the roots of the minimal polynomial are exactly the eigenvalues. So what are all the eigenvalues?? Can you find the characteristic polynomial now??

b) The Jordan blocks can be size 1,2, or 3 i.e. [L 1 0; 0 L 1; 0 0 L], [L 0 0; 0 L 0; 0 0 L], [L 1 0; 0 L 0; 0 0 L] where L are the eigenvalues from the min. poly. (equal to zero)

Are you sure that second matrix can occur? What is its minimal polynomial??
Also, the matrices need to be 6x6.

c) rank(A) + dim N(A) = n, where N(A) is the nullspace of A, and n = 6. Do I just need to find the nullspace of A (and if so, how?) or am I going down the wrong direction.

You probably need to use the Jordan forms you found in (2). You can easily see the rank of those.
 
  • #3
micromass said:
It is a theorem that the roots of the minimal polynomial are exactly the eigenvalues. So what are all the eigenvalues?? Can you find the characteristic polynomial now??

Are you sure that second matrix can occur? What is its minimal polynomial??
Also, the matrices need to be 6x6.

You probably need to use the Jordan forms you found in (2). You can easily see the rank of those.

If the min poly is p(s) = s^3, doesn't that mean that only three of the six are zero? How would I find the other 3 eigenvalues? I must not be understanding this correctly.

I understand that the matrix needs to be 6x6, but I only know 3 of the eigenvalues? I guess if I understand the first part of your reply, it'll answer this one.
 
  • #4
No. All eigenvalues are roots of the minimal equations. Since [itex]s^3= 0[/itex] has only s= 0 as root, all six eigenvalues are 0.
 
  • #5
Thanks HallsofIvy. So using this info, we can have possible jordan blocks of size 1,2, or 3. So the possible matrices are:

[0 1 0
0 0 1
0 0 0]

[0 0 0
0 0 0
0 0 0]

[0 1 0
0 0 0
0 0 0]

Where I can fill out the rest of the 6x6 with zeros if I wanted the original matrix. My question is, why can't the second form occur?
 
  • #6
You have to write 6x6 - matrices...
 
  • #7
Right, so for example:

[0 1 0 0 0 0
0 0 1 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0]

[0 1 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0]
 
  • #8
Are you sure these have minimal polynomial [itex]s^3[/itex]?? Are you sure these are the only matrices??
 
  • #9
Each of the three eigenvalues (zero) in the min. poly could have jordan blocks of size 1,2, or 3. So:

[0 1 0 0 0 0
0 0 1 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0]

[0 1 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0]

[0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0]

[0 0 0 0 0 0
0 0 1 0 0 0
0 0 0 1 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0]

[0 0 0 0 0 0
0 0 1 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0]

[0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 1 0 0
0 0 0 0 1 0
0 0 0 0 0 0
0 0 0 0 0 0]

[0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 1 0
0 0 0 0 0 0
0 0 0 0 0 0]

Or does the fact that the min. poly is s^3 indicate that we must have one 3x3 Jordan block, in which case we need to fill out the remaining matrix with either another 3x3, a 2x1 and a 1x1, or a 1x1 and 2x1:

[0 1 0 0 0 0
0 0 1 0 0 0
0 0 0 0 0 0
0 0 0 0 1 0
0 0 0 0 0 1
0 0 0 0 0 0]

[0 1 0 0 0 0
0 0 1 0 0 0
0 0 0 0 0 0
0 0 0 0 1 0
0 0 0 0 0 0
0 0 0 0 0 0]

[0 1 0 0 0 0
0 0 1 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 1
0 0 0 0 0 0]
 
Last edited:

FAQ: Minimal Polynomial and Jordan Form

What is the minimal polynomial?

The minimal polynomial of a square matrix is the monic polynomial of smallest degree that has the matrix as a root. It is unique and it is used to determine the Jordan form of a matrix.

What is the Jordan form?

The Jordan form of a square matrix is a special matrix that is similar to the original matrix and has a specific structure. It consists of diagonal blocks of Jordan blocks, which are matrices with ones on the main diagonal and either ones or zeros on the first superdiagonal.

Why is the minimal polynomial important?

The minimal polynomial is important because it helps us understand the structure of a given matrix. It reveals important information about the eigenvalues and eigenvectors of the matrix, and it is also used to determine the Jordan form of the matrix.

How is the minimal polynomial calculated?

The minimal polynomial can be calculated using various methods, such as the characteristic polynomial, the determinant of the matrix, or by finding the eigenvalues and eigenvectors. The method used depends on the specific characteristics of the matrix.

What is the significance of the Jordan form?

The Jordan form is significant because it simplifies the analysis of complex matrices. It allows us to understand the structure of a matrix and its behavior, which is useful in various fields such as physics, engineering, and mathematics.

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