As it can be read here, Discrete to Continuous Representations of Functions via Laplace Transforms? the Laplace transform is a continuous analog of a power series in which the discrete parameter n is replaced by the continuous parameter t, and x is replaced by exp(-s).
Therefore, I ask the following: computing a discrete power series or a continuous laplace transform should converge to the same function?
Let's apply it for the simplest case: a(x)=1
- For the discrete power series it converges to 1/1-x (provided that -1 < x < 1)
- For the continuous power series it converges to 1/s (provided that s>0)
Now, this two should be equivalent right? If you substitute s=-ln(x) you get -1/ln(x), which is not the same as 1/1-x.
Why it is not equal?



Give you more a counterexample:
$\mathcal{L}_{x\to s}\biggl\{\sum\limits_{n=0}^\infty\dfrac{(-1)^nx^{2n}}{4^n(n!)^2}\biggr\}=\sum\limits_{n=0}^\infty\dfrac{(-1)^n(2n)!}{4^n(n!)^2s^{2n+1}}$
The former is suitable for $x\in\mathbb{C}$ but the latter is only suitable for $|s|\geq1$ .