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 defined explicitly in terms of the independent variable. For example: However, this is not always necessary or even possible to do. Sometimes we choose to or we have to define a function implicitly . In this case, the dependent variable is not stated explicitly in terms of an independent variable. Some examples are: Your inclination might be simply to solve each of these equations for and go merrily on your way. However, this can be difficult or even impossible to do. Since we are often faced with a problem of computing derivatives of such functions, we need a method that will enable us to compute derivatives of implicitly defined functions.
We’ll start with a basic example.
- (a)
- Find the slope of the line tangent to the circle at the point .
- (b)
- Find the slope of the line tangent to the circle at the point .
Notice that we had to differentiate twice, not to mention that we had to first solve for in terms of in order to compute these two slopes.
- (a)
- Compute .
- (b)
- Find the slope of the line tangent to the circle at .
- (c)
- Find the slope of the line tangent to the circle at .
The curve defined by the equation is not a graph of a function. If we solve for , we obtain two solutions: and . Therefore, we can say that any point on the curve lies on the graph of some function . Starting with we differentiate both sides of the equation with respect to to obtain Applying the sum rule we see Let’s examine each of these terms in turn. To start On the other hand, is somewhat different. Here we assume that for some function , defined on some open interval (this is true for all points ). Hence, by the chain rule
Putting this together, we are left with the equation At this point, we solve for . Write
Remark: Notice that the derivative is expressed in terms of both variables and . This should not come as a surprise. If you think about it, the function and its derivative are not determined solely by the value of . Recall what happens if .
The advantage of the expression for that we obtained above is that it can be used for computation of the slope of the tangent line at each of these two points, and at any other point on the curve, where defined.
So, for the second part of the problem, we simply plug and into the expression above, hence the slope of the tangent line at this point is . For the third part of the problem, we simply plug and into the expression 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 line tangent to this curve at .
Considering the final term , we assume that , on some interval . Hence
Putting this all together we are left with the equation At this point, we solve for . Write
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:
Grouping terms, factoring, and dividing finally gives us
so, and now we see