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In this Appendix the familiarity with elements of the Complex Variables (like MAT334 at University of Toronto) is assumed.
When we can take in the definition \begin{equation} \hat{u}(z)= \frac{1}{2\pi}\int_{-\infty}^\infty u(x)e^{-ixz}\,dx \label{eq-5.2B.1} \end{equation} complex $z$?
Theorem 1 (Paley-Wiener theorem). The following statements are equivalent:
To consider functions holomorphic in in the lower half-plane $\{z\colon \Im (z) <a\}$ one needs to apply Paley-Wiener theorem to $g(z)=f(z-ia)$ with $c<a$.
To prove Paley-Wiener theorem one needs to consider Fourier integral \begin{align*} \hat{u}(z)= u(x):=&\int_{-\infty}^{\infty} f(\xi)e^{ix\xi}\,d\xi\\ =&\int_{-\infty+i\eta}^{\infty} f(z)e^{ixz}\,dz \end{align*} where we changed the contour of integration (and one can prove that the integral has not changed) observe, that for $x<0$ this integral tends to $0$ as $\eta\to -\infty$.
Laplace transform is defined for functions $u: [0,\infty)\to\mathbb{C}$ such that \begin{equation} |u(x)|\le Ce^{ax} \label{eq-5.2B.6} \end{equation} by \begin{equation} \mathcal{L} [u] (p)= \int_0^\infty e^{-px}u(x)\,dx,\qquad \Re (p) >a. \label{eq-5.2B.7} \end{equation} Obviously, it could be described this way: extend $u(x)$ by $0$ to $(-\infty,0)$, then make a Fourier transform (\ref{eq-5.2B.1}), and replace $z=-ip$; then $\Im (z)< a$ translates into $\Re (p)>a$.
Properties of Fourier transform translate into properties Laplace transform, but with a twist \begin{gather} (f*g) (x):=\int_0^x f(y)g(x-y)\,dy, \label{eq-5.2B.8}\\ \mathcal{L}[u'] (p)=p\mathcal{L}[u](p) -pu(0^+). \label{eq-5.2B.9} \end{gather} One can prove (\ref{eq-5.2B.9}}) by integration by parts. Those who are familiar with distributions (see Section 11.1 can obtain it directly because \begin{equation} (\mathcal{E} (u))'(x) = \mathcal{E}(u')(x) +u^+(0) \delta (x), \label{eq-5.2B.10} \end{equation} where $\mathcal{E}$ is an operator of extension by $0$ from $[0,\infty)$ to $(-\infty,\infty)$ and $\delta$ is a Dirac delta function.
The Laplace transform provides a foundation to Operational Calculus by Oliver Heaviside. Its applications to Ordinary Differential Equations could be found in Chapter 6 of Boyce-DiPrima textbook.
Complex variables could be useful to find Fourier and inverse Fourier transforms of certain functions.
Example 1. Let us find Fourier transform of $\displaystyle{f(x)=\frac{1}{x^2+a^2}}$, $\Re (a) >0$. \begin{equation*} \hat{f}(k)=\frac{1}{2\pi } \int_{-\infty}^\infty \frac{e^{-ikx }\, dx}{x^2+a^2}. \end{equation*} As $k \gtrless 0$ function $\frac{e^{-ikz }}{z^2+a^2}$ is holomorphic at ${z\colon \Im (z) \lessgtr 0}$ except $z=\mp ia $, and nicely decays; then \begin{equation*} \hat{f}(k)=\mp i \operatorname{Res} \bigl( \frac{e^{-ikz }}{z^2+a^2}; z=\mp ia\bigr)= \mp i \frac{e^{-ikz }}{2z}\bigr|_{z=\pm ia}= \frac{1}{2}e^{-|k| }. \end{equation*}
One can apply the same arguments to any rational function $\displaystyle{\frac{P(x)}{Q(x)}}$ where $P(x)$ and $Q(x)$ are polynomials of order $m$ and $n$, $m<n$ and $Q(x)$ does not have real roots.