Chain rule for partial differentiation
Contents
Statement
The statement explains how to differentiate composites involving functions of more than one variable, where differentiate is in the sense of computing partial derivatives. Note that in those cases where the functions involved have only one input, the partial derivative becomes an ordinary derivative.
Statement for function of two variables composed with two functions of one variable
Version type | Statement |
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Mixed functional, dependent variable notation (generic point) | Suppose are both functions of one variable and is a function of two variables. Suppose . Then: |
Pure functional notation (generic point) | Suppose are both functions of one variable and is a function of two variables. Consider the function: Then, we have where denote respectively the partial derivatives with respect to the first and second coordinates. |
Pure dependent variable notation (generic point) | Suppose are variables functionally dependent on and is a variable functionally dependent on both and . Then, |
Conceptual statement for a two-step composition
Consider a situation where we have three kinds of variables:
- Independent input variables
- Dependent intermediate variables, each of which is a function of the input variables.
- Dependent output variables, each of which is a function of the intermediate variables.
Then, we have:
In other words, we get in general a sum of products, each product being of two partial derivatives involving the intermediate variable.
As noted above, in those cases where the functions involved have only one input, the partial derivative becomes an ordinary derivative.
Statement with symbols for a two-step composition
Suppose we have:
- Independent input variables
- Dependent intermediate variables, , each of which is a function of .
- Dependent output variables , each of which of a function of .
Then, for any and , we have: