  We consider the following eigenvalue optimization in the composite membrane
problem with fractional Laplacian: given a bounded domain $\Omega\subset
\mathbb{R}^n$, $\alpha>0$ and $0<A<|\Omega|$, find a subset $D\subset \Omega$
of area $A$ such that the first Dirichlet eigenvalue of the operator
$(-\Delta)^s+\alpha \chi_D$ is as small as possible. The solution $D$ is called
as an optimal configuration for the data $(\Omega,\alpha,A)$. Looking at the
well-known extension definition for the fractional Laplacian, in the case
$s=1/2$ this is essentially the composite membrane problem for which the mass
is concentrated at the boundary as one is trying to maximize the Steklov
eigenvalue.
  We prove existence of solutions and study properties of optimal configuration
$D$. This is a free boundary problem which could be formulated as a two-sided
unstable obstacle problem.
  Moreover, we show that for some rotationally symmetric domains (thin annuli),
the optimal configuration is not rotational symmetric, which implies the
non-uniqueness of the optimal configuration $D$. On the other hand, we prove
that for a convex domain $\Omega$ having reflection symmetries, the optimal
configuration possesses the same symmetries, which implies uniqueness of the
optimal configuration $D$ in the ball case.
