--- title: "Laplace transform" date: 2021-07-02 categories: - Mathematics - Physics layout: "concept" --- The **Laplace transform** is an integral transform that losslessly converts a function $f(t)$ of a real variable $t$, into a function $\tilde{f}(s)$ of a complex variable $s$, where $s$ is sometimes called the **complex frequency**, analogously to the [Fourier transform](/know/concept/fourier-transform/). The transform is defined as follows: $$\begin{aligned} \boxed{ \tilde{f}(s) \equiv \hat{\mathcal{L}}\{f(t)\} \equiv \int_0^\infty f(t) \exp(- s t) \dd{t} } \end{aligned}$$ Depending on $f(t)$, this integral may diverge. This is solved by restricting the domain of $\tilde{f}(s)$ to $s$ where $\mathrm{Re}\{s\} > s_0$, for an $s_0$ large enough to compensate for the growth of $f(t)$. The **inverse Laplace transform** $\hat{\mathcal{L}}{}^{-1}$ involves complex integration, and is therefore a lot more difficult to calculate. Fortunately, it is usually avoidable by rewriting a given $s$-space expression using [partial fraction decomposition](/know/concept/partial-fraction-decomposition/), and then looking up the individual terms. ## Derivatives The derivative of a transformed function is the transform of the original mutliplied by its variable. This is especially useful for transforming ODEs with variable coefficients: $$\begin{aligned} \boxed{ \tilde{f}{}'(s) = - \hat{\mathcal{L}}\{t f(t)\} } \end{aligned}$$ This property generalizes nicely to higher-order derivatives of $s$, so: $$\begin{aligned} \boxed{ \dvn{n}{\tilde{f}}{s} = (-1)^n \hat{\mathcal{L}}\{t^n f(t)\} } \end{aligned}$$
The Laplace transform of a derivative introduces the initial conditions into the result. Notice that $f(0)$ is the initial value in the original $t$-domain: $$\begin{aligned} \boxed{ \hat{\mathcal{L}}\{ f'(t) \} = - f(0) + s \tilde{f}(s) } \end{aligned}$$ This property generalizes to higher-order derivatives, although it gets messy quickly. Once again, the initial values of the lower derivatives appear: $$\begin{aligned} \boxed{ \hat{\mathcal{L}} \big\{ f^{(n)}(t) \big\} = - \sum_{j = 0}^{n - 1} s^j f^{(n - 1 - j)}(0) + s^n \tilde{f}(s) } \end{aligned}$$ Where $f^{(n)}(t)$ is shorthand for the $n$th derivative of $f(t)$, and $f^{(0)}(t) = f(t)$. As an example, $\hat{\mathcal{L}}\{f'''(t)\}$ becomes $- f''(0) - s f'(0) - s^2 f(0) + s^3 \tilde{f}(s)$.
## References 1. O. Bang, *Applied mathematics for physicists: lecture notes*, 2019, unpublished.