THE BIG IDEA
Systems and Phase Planes
How do coupled variables move together?
Write several evolving quantities as one state vector. Eigenmodes and matrix exponentials explain linear motion; phase portraits make the trajectories visible, and Jacobians connect the picture to nonlinear systems locally.
SEE THE CONNECTIONS
How the ideas fit together.
A map of the main ideas. Follow a node to its lesson.
- Start with01Eigenmodes
- their time behavior shapes02Phase portraits
- a general propagator is03Matrix exponentials
- local Jacobians connect to04Nonlinear neighborhoods
YOUR LEARNING ROUTE
One idea at a time.
Read the explanation, use the visualization, then try the check before opening its reasoning.
Keep the unit cheat sheet handy →Lessons in this unit5 lessons
- 01Linear Systems and EigenmodesConvert higher-order equations to first-order systems and use eigenvectors to solve them.Marked studied
- 02Phase Portraits and StabilityClassify planar linear equilibria and follow time-oriented trajectories.Marked studied
- 03Matrix Exponentials and Repeated ModesSolve a constant system even when the matrix lacks an eigenvector basis.Marked studied
- 04Forced Systems and Variation of ConstantsCombine the free state with the accumulated response to a vector input.Marked studied
- 05Nonlinear Systems and Local LinearizationUse a Jacobian near an equilibrium and recognize inconclusive eigenvalues.Marked studied