  We consider the residual-based or naive bootstrap for functional
autoregressions of order 1 and prove that it is asymptotically valid for, e.g.,
the sample mean and for empirical covariance operator estimates. As a crucial
auxiliary result, we also show that the empirical distribution of the centered
sample innovations converges to the distribution of the innovations with
respect to the Mallows metric.
