Definition
The multivariable chain rule calculates the derivative of a composite function by summing the contributions of change from each intermediate variable.
Why It Matters
It allows for the calculation of complex, multi-layered rates of change, which is vital for understanding how multiple shifting variables interact in a single system.
Core Concepts
- Case 1 (One parameter): If and :
- How to read: “The derivative d w d t equals the partial derivative of w with respect to x times the derivative d x d t, plus the partial derivative of w with respect to y times the derivative d y d t.”
- Meaning / when to use: changes with only through and . Add the rate of change along each intermediate path—this is the dot product .
- Case 2 (Several independent parameters): If :
- How to read: “The partial derivative of w with respect to r equals the partial derivative of w with respect to x times the partial derivative of x with respect to r, plus the partial derivative of w with respect to y times the partial derivative of y with respect to r.”
- Meaning: Holding fixed, track how responds to through both and .
- How to read: “The partial derivative of w with respect to s equals the partial derivative of w with respect to x times the partial derivative of x with respect to s, plus the partial derivative of w with respect to y times the partial derivative of y with respect to s.”
- Meaning: Same logic with held fixed—every dependency path from to must be summed.
- Tree Diagrams: A visual tool used to track dependencies and ensure every “path” of influence is accounted for.