  Systems driven by $\alpha$-stable noises could be very different from their
Gaussian counterparts. Stationary states in single-well potentials can be
multimodal. Moreover, a potential well needs to be steep enough in order to
produce stationary states. Here, it is demonstrated that 2D systems driven by
bi-variate $\alpha$-stable noises are even more surprising than their 1D
analogs. In 2D systems, intriguing properties of stationary states originate
not only due to heavy tails of noise pulses, which are distributed according to
$\alpha$-stable densities, but also because of properties of spectral measures.
Consequently, 2D systems are described by a whole family of Langevin and
fractional diffusion equations. Solutions of these equations bear some common
properties but also can be very different. It is demonstrated that also for 2D
systems potential wells need to be steep enough in order to produce bounded
states. Moreover, stationary states can have local minima at the origin. The
shape of stationary states reflects symmetries of the underlying noise, i.e.
its spectral measure. Finally, marginal densities in power-law potentials also
have power-law asymptotics.
