Is there an easy to compute the Fourier transform of $\frac{1}{1+x_1^2+x_2^2}$ in two variables ? And more generally, the Fourier transform of $\frac{1}{1+x_1^2+...+x_N^2}$, where $N$ denotes the dimension ?
Computation of a 2D Fourier transform
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With $\ds{\vec{k} \equiv k_{x}\,\hat{x} + k_{y}\,\hat{y}}$ ( where $\ds{k_{x}, k_{y} \in \mathbb{R}}$ ) and $\ds{\phi\ \equiv\ \angle\pars{\vec{k},\vec{r}}}$:
\begin{align} &\bbox[10px,#ffd]{\left.\iint_{\mathbb{R}^{\large 2}}{\expo{\ic\vec{k}\cdot\vec{r}} \over 1 + r^{2}}\,\dd^{2}\vec{r} \,\right\vert_{\ \vec{k}\ \not=\ \vec{0}}} = \int_{0}^{\infty}{r \over 1 + r^{2}} \int_{0}^{2\pi}{\exp\pars{\ic kr\cos\pars{\phi}}} \,\dd\phi\,\dd r \label{1}\tag{1} \end{align} However, \begin{align} \int_{0}^{2\pi}{\exp\pars{\ic kr\cos\pars{\phi}}}\,\dd\phi & = \int_{-\pi}^{\pi}{\exp\pars{-\ic kr\cos\pars{\phi}}}\,\dd\phi \\[5mm] & = 2\int_{0}^{\pi}{\cos\pars{kr\cos\pars{\phi}}}\,\dd\phi = \bbx{2\pi\,\mrm{J}_{0}\pars{kr}}\label{2}\tag{2} \end{align}
where $\ds{\mrm{J}_{0}}$ is a Bessel Function of the First Kind. The above link already reported the integration \eqref{2}.
\eqref{1} and \eqref{2} lead to \begin{align} &\bbox[10px,#ffd]{\left.\iint_{\mathbb{R}^{\large 2}}{\expo{\ic\vec{k}\cdot\vec{r}} \over 1 + r^{2}}\,\dd^{2}\vec{r} \,\right\vert_{\ \vec{k}\ \not=\ \vec{0}}} = 2\pi\int_{0}^{\infty}{\mrm{J}_{0}\pars{kr} \over 1 + r^{2}} \,r\,\dd r = \bbx{\large 2\pi\,\mrm{K}_{0}\pars{k}} \end{align}
$\ds{\mrm{K}_{0}}$ is a Modified Bessel Function. The last integration is reported in this link.
These functions are radial functions so their Fourier transforms are too. You might consider the Hankel transform an easy way to compute them.