307.8.3 Compute A^n for the Jordan block

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In summary, the matrix A is composed of the following:- A = \begin{bmatrix}\lambda & 0\\0&\lambda\end{bmatrix}- For any n, the matrix A^n is computed by multiplying the lambda matrix by the matrix power of the nth column of the matrix A.
  • #1
karush
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$\textsf{ Compute $A^n$ for the Jordan block
$\displaystyle A=\begin{bmatrix}
\lambda&0\\0&\lambda
\end{bmatrix}$ and $n=1,2,3,4$ }$
$\textit{Make a guess on what $A^n$ will be for any $n$. }$
$\textit{Note: this matrix is not diagonalizable,compute the matrix powers by hand.}$

ok I think this is down by increasing the dim
 
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  • #2
I think it is done by doing what the problem tells you to do! You are given a 2 by 2 matrix, A, and asks you to find [tex]A^2[/tex], [tex]A^3[/tex], and [tex]A^4[/tex]. Do you know how to multiply matrices?
 
  • #3
not sure that souns too easy?

but couldn't find an example
 
  • #4
An example of what? You are given a Jordan block $A= \begin{bmatrix}\lambda & 0 \\ 0 & \lambda \end{bmatrix}$. You don't say what $\lambda$ is but since this is a "Jordan Block" I imagine it is something like $\begin{bmatrix}a & 1 \\ 0 & a \end{bmatrix}$ (so that A is 4 by 4) or $\begin{bmatrix}a & 1 & 0 \\ 0 & a & 1 \\ 0 & 0 & a \end{bmatrix}$ (so that A is 6 by 6). In the first case, A would be $\begin{bmatrix}a & 1 & 0 & 0 \\0 & a & 0 & 0 \\ 0 & 0 & a & 1 \\ 0 & 0 & 0 & a\end{bmatrix}$.$A^2= \begin{bmatrix}a & 1 & 0 & 0 \\0 & a & 0 & 0 \\ 0 & 0 & a & 1 \\ 0 & 0 & 0 & a\end{bmatrix}\begin{bmatrix}a & 1 & 0 & 0 \\0 & a & 0 & 0 \\ 0 & 0 & a & 1 \\ 0 & 0 & 0 & a\end{bmatrix}= \begin{bmatrix}a^2 & 2a & 0 & 0 \\ 0 & a^2 & 0 & 0 \\ 0 & 0 & a^2 & 2a \\ 0 & 0 & 0 & a^2 \end{bmatrix}$.

Do you see that, with $\lambda= \begin{bmatrix}a & 1 \\ 0 & a \end{bmatrix}$,this is just $A^2= \begin{bmatrix}\lambda^2 & 0 \\ 0 & \lambda^2 \end{bmatrix}$ ? What do you think $A^3$, etc. will be? That is why we work with "block matrices" and is, I suspect, the whole point of this exercise.
 
  • #5
Country Boy said:
$A^2= \begin{bmatrix}a & 1 & 0 & 0 \\0 & a & 0 & 0 \\ 0 & 0 & a & 1 \\ 0 & 0 & 0 & a\end{bmatrix}\begin{bmatrix}a & 1 & 0 & 0 \\0 & a & 0 & 0 \\ 0 & 0 & a & 1 \\ 0 & 0 & 0 & a\end{bmatrix}= \begin{bmatrix}a^2 & 2a & 0 & 0 \\ 0 & a^2 & 0 & 0 \\ 0 & 0 & a^2 & 2a \\ 0 & 0 & 0 & a^2 \end{bmatrix}$.

Do you see that, with $\lambda= \begin{bmatrix}a & 1 \\ 0 & a \end{bmatrix}$,this is just $A^2= \begin{bmatrix}\lambda^2 & 0 \\ 0 & \lambda^2 \end{bmatrix}$ ? What do you think $A^3$, etc. will be? That is why we work with "block matrices" and is, I suspect, the whole point of this exercise.

I suppose we could do this:

$A^3= a^2\begin{bmatrix}a & 1 & 0 & 0 \\0 & a & 0 & 0 \\ 0 & 0 & a & 1 \\ 0 & 0 & 0 & a\end{bmatrix}
= \begin{bmatrix}a^3 & 2a^2 & 0 & 0 \\
0 & a^3 & 0 & 0 \\
0 & 0 & a^3 & 2a^2 \\
0 & 0 & 0 & a^3\end{bmatrix}
$

$A^4= a^3\begin{bmatrix}a & 1 & 0 & 0 \\0 & a & 0 & 0 \\ 0 & 0 & a & 1 \\ 0 & 0 & 0 & a\end{bmatrix}
=\begin{bmatrix}a^4& 4 a^3& 0& 0\\0& a^4& 0& 0\\0&0 &a^4 &4 a^3\\0 & 0& 0& a^4\end{bmatrix}$
 
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  • #6
karush said:
I suppose we could do this:

$A^3= a^2\begin{bmatrix}a & 1 & 0 & 0 \\0 & a & 0 & 0 \\ 0 & 0 & a & 1 \\ 0 & 0 & 0 & a\end{bmatrix}
= \begin{bmatrix}a^3 & 2a^2 & 0 & 0 \\
0 & a^3 & 0 & 0 \\
0 & 0 & a^3 & 2a^2 \\
0 & 0 & 0 & a^3\end{bmatrix}
$

You mean $A^3= A^2\begin{bmatrix}a & 1 & 0 & 0 \\0 & a & 0 & 0 \\ 0 & 0 & a & 1 \\ 0 & 0 & 0 & a\end{bmatrix}$

$A^4= a^3\begin{bmatrix}a & 1 & 0 & 0 \\0 & a & 0 & 0 \\ 0 & 0 & a & 1 \\ 0 & 0 & 0 & a\end{bmatrix}
=\begin{bmatrix}a^4& 4 a^3& 0& 0\\0& a^4& 0& 0\\0&0 &a^4 &4 a^3\\0 & 0& 0& a^4\end{bmatrix}$
 
  • #7
$A^3= A^2\begin{bmatrix}a & 1 & 0 & 0 \\0 & a & 0 & 0 \\ 0 & 0 & a & 1 \\ 0 & 0 & 0 & a\end{bmatrix}
= \begin{bmatrix}a^3 & 2a^2 & 0 & 0 \\
0 & a^3 & 0 & 0 \\
0 & 0 & a^3 & 2a^2 \\
0 & 0 & 0 & a^3\end{bmatrix}$

$A^4= A^3\begin{bmatrix}a & 1 & 0 & 0 \\0 & a & 0 & 0 \\ 0 & 0 & a & 1 \\ 0 & 0 & 0 & a\end{bmatrix}
=\begin{bmatrix}a^4& 4 a^3& 0& 0\\0& a^4& 0& 0\\0&0 &a^4 &4 a^3\\0 & 0& 0& a^4\end{bmatrix}$

hopefully

 
  • #8

FAQ: 307.8.3 Compute A^n for the Jordan block

What is the Jordan block in mathematics?

The Jordan block is a square matrix with a specific form used in linear algebra. It has ones on the main diagonal, directly above the main diagonal, and all other entries are zero. It is used to represent the structure of a matrix that has repeated eigenvalues.

How do I compute A^n for a Jordan block?

To compute A^n for a Jordan block, you can use the formula (A^n)ij = (n choose j-1) * (λ^i-j+1), where λ is the repeated eigenvalue and i and j are the row and column indices, respectively. This formula is derived from the binomial theorem and allows for easy and efficient computation of higher powers of a Jordan block.

Can a Jordan block be diagonalized?

Yes, a Jordan block can be diagonalized if it is a single block. This means that there is only one repeated eigenvalue and the block is in its simplest form. However, if there are multiple blocks or additional non-zero entries, the matrix is not diagonalizable.

How is a Jordan block used in applications?

Jordan blocks are used in applications such as differential equations and matrices with repeated eigenvalues. They are also used in the study of dynamical systems and stability analysis. Additionally, the Jordan form of a matrix can be used to solve systems of linear equations and to find the eigenvalues and eigenvectors of a matrix.

Are there any special properties of a Jordan block?

Yes, there are several special properties of a Jordan block. For example, the number of distinct Jordan blocks corresponding to a given eigenvalue is equal to the multiplicity of that eigenvalue. Additionally, the sum of the sizes of all Jordan blocks corresponding to a given eigenvalue is equal to the dimension of the corresponding eigenspace. These properties make Jordan blocks useful in various applications and computations.

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