For general trajectories not confined exactly to a single stable or unstable manifold, the lecture argues that the largest positive Lyapunov exponent controls the long-time behavior. This is summarized on the slide as dominating as .
Conditions: Trajectory experiences a mix of stable and unstable effects.; Looking at the long-time limit.
For general trajectories not confined exactly to a single stable or unstable manifold, the lecture argues that the largest positive Lyapunov exponent controls the long-time behavior. This is summarized on the slide as dominating as .
Conditions: Trajectory experiences a mix of stable and unstable effects.; Looking at the long-time limit.