THE BIG IDEA
Partial Derivatives and Local Change
How does a surface change in different directions?
A multivariable function has many approach paths and many possible directions of motion. Move from level sets to coordinate rates, then combine those rates into a local model and directional predictions.
SEE THE CONNECTIONS
How the ideas fit together.
A map of the main ideas. Follow a node to its lesson.
- Start with01Surfaces & limits
- varying one input measures02Coordinate rates
- assembling rates produces03The gradient
- changing several inputs requires04Dependency chains
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 unit4 lessons
- 01Surfaces, Level Sets and Multivariable LimitsUse domains and level curves to read a surface and distinguish a path test from an all-path proof.Marked studied
- 02Partial Derivatives and DifferentiabilityCompute coordinate rates and determine when they combine into a valid local linear model.Marked studied
- 03Gradients and Directional DerivativesNormalize a direction and use the gradient to predict local increase along it.Marked studied
- 04Multivariable Chain Rules and Implicit SurfacesTrack every dependency through a composition and use a nonzero partial to solve locally for a variable.Marked studied