Laplace transform of a matrix exponential

In summary: WlhbW9yZSBkb2Vzbid0IGJlIHN0dWNrZWQuIEhlcmUncyBzcmVhdGVkIGZvciBhIGRpYWdiZXJ0IG1hdGNoIHMsIGFzIE1hYyBzaG93IGl0J3MgdHJ1ZSBieSBzZWxmIHVwLg==In summary, the Laplace transform of e^(At) is equal to (sI - A)^(-1). This can be shown by breaking down the expression into a sum of (A^k)_{ij} terms and using the known Laplace transform for (
  • #1
A_B
93
1

Homework Statement


show that the Laplace transform of e^(At) = (sI - A)^(-1)

[tex]
\mathcal{L}\left\{ e^{At} \right\}(s) = \left(sI - A \right)^{-1}
[/tex]

The Attempt at a Solution



I find
[tex]
\left( e^{At} \right)_{ij} = \sum_{k=0}^{\infty} \frac{(A^k)_{ij}t^k}{k!}
[/tex]

and since
[tex]
\mathcal{L}\left\{ (A^k)_{ij}t^k \right\}(s) = \frac{k!}{s^{k+1}} (A^k)_{ij}
[/tex]

we have
[tex]
\mathcal{L}\left\{\left( e^{At} \right)_{ij}\right\}(s) = \sum_{k=0}^{\infty} \frac{(A^k)_{ij}}{s^{k+1}}
[/tex]

and there I'm stuck.

Thanks
A_B
 
Last edited:
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  • #2
First show it's true for a diagonal matrix D. Then show it's still true if A is diagonalizable, i.e. PAP^(-1)=D for some invertible matrix P.
 
  • #3
A_B said:

Homework Statement


show that the Laplace transform of e^(At) = (sI - A)^(-1)

[tex]
\mathcal{L}\left\{ e^{At} \right\}(s) = \left(sI - A)^{-1} \right)
[/tex]

The Attempt at a Solution



I find
[tex]
\left( e^{At} \right)_{ij} = \sum_{k=0}^{\infty} \frac{(A^k)_{ij}t^k}{k!}
[/tex]

and since
[tex]
\mathcal{L}\left\{ (A^k)_{ij}t^k \right\}(s) = \frac{k!}{s^{k+1}} (A^k)_{ij}
[/tex]

we have
[tex]
\mathcal{L}\left\{\left( e^{At} \right)_{ij}\right\}(s) = \sum_{k=0}^{\infty} \frac{(A^k)_{ij}}{s^{k+1}}
[/tex]

and there I'm stuck.

Thanks
A_B

[tex](sI-A)^{-1}=
\frac{1}{s}(I-\frac{1}{s}A)^{-1}.[/tex]

RGV
 

FAQ: Laplace transform of a matrix exponential

What is the Laplace transform of a matrix exponential?

The Laplace transform of a matrix exponential is a mathematical operation that transforms a function of time, such as a matrix exponential, into a function of a complex variable, known as the Laplace variable. It is often used in control systems and signal processing to analyze the behavior of systems over time.

How is the Laplace transform of a matrix exponential calculated?

The Laplace transform of a matrix exponential is calculated by taking the Laplace transform of each element of the matrix and then reconstructing the transformed matrix. This can be done using various methods, such as partial fraction decomposition or the Laplace transform table.

What are the applications of the Laplace transform of a matrix exponential?

The Laplace transform of a matrix exponential has many applications in engineering and science. It is used in control systems to analyze and design feedback controllers, in signal processing to analyze and filter signals, and in circuit analysis to solve differential equations.

Can the Laplace transform of a matrix exponential be inverted?

Yes, the Laplace transform of a matrix exponential can be inverted using the inverse Laplace transform. This operation transforms the function from the Laplace domain back into the time domain, allowing us to retrieve the original function.

Are there any limitations to using the Laplace transform of a matrix exponential?

One limitation of the Laplace transform of a matrix exponential is that it can only be applied to functions that are absolutely integrable, meaning they have finite values and do not grow to infinity. Additionally, it requires the matrix exponential to be diagonalizable, which may not always be possible.

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