Laplace transform of a matrix exponential

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SUMMARY

The Laplace transform of the matrix exponential \( e^{At} \) is expressed as \( \mathcal{L}\{ e^{At} \}(s) = (sI - A)^{-1} \). The derivation begins with the series expansion of \( e^{At} \) and utilizes the properties of Laplace transforms on matrix powers. To establish the result, it is effective to first demonstrate the case for diagonal matrices and then extend the proof to diagonalizable matrices using the transformation \( PAP^{-1} = D \).

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A_B
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Homework Statement


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

<br /> \mathcal{L}\left\{ e^{At} \right\}(s) = \left(sI - A \right)^{-1}<br />

The Attempt at a Solution



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

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

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

and there I'm stuck.

Thanks
A_B
 
Last edited:
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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.
 
A_B said:

Homework Statement


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

<br /> \mathcal{L}\left\{ e^{At} \right\}(s) = \left(sI - A)^{-1} \right)<br />

The Attempt at a Solution



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

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

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

and there I'm stuck.

Thanks
A_B

(sI-A)^{-1}=<br /> \frac{1}{s}(I-\frac{1}{s}A)^{-1}.

RGV
 

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