Fig. 4
From: Data-driven approach to the deep learning of the dynamics of a non-integrable Hamiltonian system
Phase space of the standard map \((\theta _n, p_n) \mod 2\pi\) for N different initial trajectories and L iterations of the map, with \(k = 1.2\). As the number of trajectories (N) and iterations (L) increase, the phase space becomes increasingly populated, providing a more comprehensive representation of the dynamics.
