I would like to understand the distribution defined by $$ b(x)=\int_{-\infty}^{\infty}\lvert y\rvert e^{-ixy} dy $$ What I've understood so far is that $$ b(x)=\lim_{\alpha\to0^+}\int_{-\infty}^{\infty}\lvert y\rvert e^{-ixy}e^{-\alpha y^2} dy = \lim_{\alpha\to0^+} \frac{1}{\alpha}\left(1-\frac{x\sqrt{\pi}}{2\sqrt{\alpha}}\exp(-\frac{x^2}{4\alpha})\text{erfi}(\frac{x}{2\sqrt{\alpha}})\right) $$ in terms of the imaginary error function $\text{erfi}(z)=\text{erf}(iz)/i$. With $u=\frac{x}{2\sqrt{\alpha}}$ we get $b(x)=\lim_{\alpha\to0^+}[1-\sqrt{\pi}u e^{-u^2}\text{erfi}(u)]/\alpha$, which can be plotted.
How can we deduce the limiting distribution $\alpha\to0^+$?
More generally, I'm looking for $b_n(x)=\int_{-\infty}^{\infty}\lvert y\rvert^n e^{-ixy} dy$, which is easy for even positive integers $n$ but hard for the odd ones. Any hints appreciated!
Let $f(y)=|y|$ and $H(y)$ denote the Heaviside function. Then, that we can write in distribution
$$\begin{align} \mathscr{F}\{f\}(x)&=\int_{-\infty}^\infty |y|e^{-ixy}\,dy\\\\ &=2\text{Re}\left(\int_{-\infty}^\infty yH(y)e^{-ixy}\,dy\right)\\\\ &=2\text{Re}\left( i\frac{d}{dx}\mathscr{F}\{H\}(x)\right)\\\\ &=2\text{Re}\left( i\frac{d}{dx}\left(\pi\delta(x)-\frac ix \right)\right)\\\\ &=-\frac2{x^2} \end{align}$$
More generally, we have for $g(y)=|y|^n$
$$\begin{align} \mathscr{F}\{g\}(x)&=2\text{Re}\left( i^n\frac{d^n}{dx^n}\mathscr{F}\{H\}(x)\right)\\\\ &=2\text{Re}\left( i^n\frac{d^n}{dx^n}\left(\pi\delta(x)-\frac ix \right)\right)\\\\ &=2\text{Re}\left( i^n\pi\delta^n(x)+i^{n+1}\frac{n!}{x^{n+1}}\right)\\\\ \end{align}$$