  The problem of identifying a dynamical system from its dynamics is of great
importance for many applications. Recently it has been suggested to impose
sparsity models for improved recovery performance. In this paper, we provide
recovery guarantees for such a scenario. More precisely, we show that ergodic
systems on the circle described by sparse trigonometric polynomials can be
recovered from a number of samples scaling near-linearly in the sparsity.
