In this section we differentiate equations that contain more than one variable on one side.
Review of the chain rule
Implicit differentiation is really just an application of the chain rule. So recall:
Of particular use in this section is the following. If is a differentiable function of and if is a differentiable function, then
Implicit differentiation
The functions we’ve been dealing with so far have been explicit functions, meaning that the dependent variable is written in terms of the independent variable. For example: However, there is another type of function, called an implicit function. In this case, the dependent variable is not stated explicitly in terms of the independent variable. Some examples are: Your inclination might be simply to solve each of these for and go merrily on your way. However this can be difficult and it may require two branches, for example to explicitly plot , one needs both and . Moreover, it may not even be possible to solve for . To deal with such situations, we use implicit differentiation. We’ll start with a basic example.
- (a)
- Compute .
- (b)
- Find the slope of the tangent line at .
For the second part of the problem, we simply plug and into the formula above, hence the slope of the tangent line at this point is . We can confirm our results by looking at the graph of the curve and our tangent line:
Let’s see another illustrative example:
- (a)
- Compute .
- (b)
- Find the slope of the tangent line at .
For the second part of the problem, we simply plug and into the formula above, hence the slope of the tangent line at is . We’ve included a plot for your viewing pleasure:
You might think that the step in which we solve for could sometimes be difficult. In fact, this never happens. All occurrences arise from applying the chain rule, and whenever the chain rule is used it deposits a single multiplied by some other expression. Hence our expression is linear in , it will always be possible to group the terms containing together and factor out the , just as in the previous examples.
One more last example: