Simplifying e^{At} to Matrix Form: A General Expression?

In summary, the conversation discusses evaluating the function f(t) = e^{At} for a specific matrix A and finding a simplified matrix form for it. The solution is found by factoring the function and using a diagonal matrix. The conversation also mentions the possibility of a general expression for simplifying e^{At} for any size matrix.
  • #1
epkid08
264
1
I did a problem in class today that evaluated [tex]f(t)=e^{At}[/tex] for [tex]A_{2,2}=\begin{bmatrix}2&1 \\-1&4 \end{bmatrix}[/tex] to a matrix form.

The answer I got was:

[tex]f(t)=\begin{bmatrix}e^{3t}-te^{3t}&te^{3t} \\-te^{3t}&e^{3t}+te^{3t} \end{bmatrix}[/tex]

Factoring we have:

[tex]f(t)=e^{3t}\begin{bmatrix}1-t&t \\-t&1+t \end{bmatrix}[/tex]

My question is, is there some simple general expression for simplifying [tex]e^{At}[/tex] to a matrix form? Maybe something that resembles [tex]e^{tA_{2,2}}=e^{\lambda t}\begin{bmatrix}1-t&t \\-t&1+t \end{bmatrix}[/tex]

but for any size matrix.
 
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  • #2
Hi epkid08! :wink:

If you can write A in the form PQP-1 where Q is diagonal …

then ∑ An/n! = P(∑ Qn/n!)P-1 = PeQP-1, where eQ = … ? :smile:

(oh, and your simple form with a single exponential factor on the outside only works in thsi case because there is a double eigenvalue :wink:)
 

1. What is the purpose of simplifying e^{At} to matrix form?

Simplifying e^{At} to matrix form allows us to easily manipulate and solve equations involving exponential functions. It also provides a more compact and efficient representation of the underlying mathematical concepts.

2. How do you convert e^{At} to matrix form?

To convert e^{At} to matrix form, we first need to decompose the matrix A into its eigenvalues and eigenvectors. Then, we can use these eigenvalues and eigenvectors to construct a diagonal matrix and a transformation matrix. The resulting matrix form of e^{At} is e^{T} * e^{D} * e^{-1}, where T is the transformation matrix and D is the diagonal matrix.

3. What are the benefits of using matrix form for e^{At}?

Using matrix form for e^{At} allows us to easily perform operations such as multiplication, addition, and inversion. It also simplifies the process of solving equations involving exponential functions.

4. Can e^{At} always be simplified to matrix form?

No, e^{At} can only be simplified to matrix form if the matrix A is diagonalizable. This means that A must have a full set of linearly independent eigenvectors.

5. Are there any limitations to using matrix form for e^{At}?

One limitation of using matrix form for e^{At} is that it may not be as intuitive or easy to understand for those who are not familiar with linear algebra. Additionally, if the matrix A is not diagonalizable, the process of converting e^{At} to matrix form may be more complicated and may not yield a simple solution.

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