Topics:
- Be able to compute partial derivatives with the various versions of the multivariate chain rule.
- Be able to compare your answer with the direct method of computing the partial derivatives.
Given a multivariable function and two single variable functions and , the multivariable chain rule says:
Written in vector notation, where , this rule as a very elegant form in terms of the [[The Gradient and Directional Derivative]|the gradient]] of and the [vector derivative] of :
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Whereas the single variable chain rule looks like this:
What if instead of taking in a one-dimensional input, , the function took in a two-dimensional input, ?
Then it wouldn’t make sense to have a scalar valued function like , instead we can have two separate scalar valued functions and plug them in as coordinates for .
Example from Webwork Week 5 Problem 5 Consider the surface . Use implicit differentiation to find and .
Webwork Week 5 Problem 6 Let and , , and .
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