  Movable antenna (MA) technology, which can reconfigure wireless channels by
flexibly moving antenna positions in a specified region, has great potential
for improving communication performance. In this paper, we consider a new setup
of MAs-enabled multicasting, where we adopt a simple setting in which a linear
MA array-enabled source (${\rm{S}}$) transmits a common message to two
single-antenna users ${\rm{U}}_1$ and ${\rm{U}}_2$. We aim to maximize the
minimum rate among these two users, by jointly optimizing the transmit
beamforming and antenna positions at ${\rm{S}}$. Instead of utilizing the
widely-used alternating optimization (AO) approach, we reveal, with rigorous
proof, that the above two variables can be optimized separately: i) the optimal
antenna positions can be firstly determined via the successive convex
approximation technique, based on the rule of maximizing the correlation
between ${\rm{S}}$-${\rm{U}}_1$ and ${\rm{S}}$-${\rm{U}}_2$ channels; ii)
afterwards, the optimal closed-form transmit beamforming can be derived via
simple arguments. Compared to AO, this new approach yields the same performance
but reduces the computational complexities significantly. Moreover, it can
provide insightful conclusions which are not possible with AO.
