Introduction to Laplace Transform

Laplace transform, intuitively, is feeding in a function of $f(t)$ and spits out another function $F(s)$. Though it seems magic, the $s$ in fact comes from the parameter of the transform. Let’s step back a bit and have a sequence $a(n)$, and

This seems similar to with $0<x<1$ a geometric series. If that’s so, $a(n)=1$ gives $A(x)=\displaystyle \frac{1}{1-x}$. $a(n)=\displaystyle \frac{1}{n!}$ leads to $e^x$ (regardless of domain of $x$). Rewrite $x^n=e^{n\ln x}$, name $n$ as $t$, $-s=\ln x$ just to look better ($s>0$), and switch to continuous case:

This is the Laplace transform, taking an input $f(t)$ and output $F(s)$ since we integrate over all $t$. In fact, from a probabilistic perspective, it’s like taking an expectation over one thing and left the parameter. And it should be written as $\mathcal L(·;s)$. Another notation is $f(t)\rightsquigarrow F(s)$.

Linearity of Laplace transform:

These come easily from the linearity of integration.

Let’s do some exercise:

let’s take a look on the $uv$ part:

Now the the right term is just zero. The left term will go to zero because when we do $n$ times Lopital, the above will be 1 but the bottom remains. Therefore,

We see that $\mathcal L(t^n)=\displaystyle\frac{n}{s}\mathcal L(t^{n-1})$, and therefore we can expect

Introduction to Laplace Transform - Ruizhen Mai