  We study the asymptotic shape of the most likely trajectories of a planar
random walk that result in large deviations of the area of the convex hull of
the first $n$ steps of the walk, as $n$ tends to infinity. If the increments of
the walk have finite Laplace transform, such a scaled limit trajectory $h$
solves the inhomogeneous anisotropic isoperimetric problem for the convex hull,
where the usual length of $h$ is replaced by the large deviations rate
functional $\int_0^1 I(h'(t)) dt$ with $I$ being the rate function of the
increments. Assuming that the distribution of increments is not contained in a
half-plane, we show that the optimal trajectories are smooth, convex, and
satisfy the Euler--Lagrange equation, which we solve explicitly for every $I$.
Our solution resembles that of the isoperimetric problem in the Minkowski plane
found by Busemann (1947).
