In the previous sections we learned to find the derivative, , or , when is given explicitly as a function of . That is, if we know for some function , we can find . For example, given , we can easily find . (Here we explicitly state how and are related. Knowing , we can directly find .)
Sometimes the relationship between and is not explicit; rather, it is implicit. For instance, we might know that . This equality defines a relationship between and ; if we know , we could figure out . Can we still find ? In this case, sure; we solve for to get (hence we now know explicitly) and then differentiate to get .
Sometimes the implicit relationship between and is complicated. Suppose we are given . A graph of this equation is given in Figure 2.6.1. In this case there is absolutely no way to solve for in terms of elementary functions. The surprising thing is, however, that we can still find via a process known as implicit differentiation.
Implicit differentiation is a technique based on the Chain Rule that is used to find a derivative when the relationship between the variables is given implicitly rather than explicitly (solved for one variable in terms of the other).
We begin by reviewing the Chain Rule. Let and be functions of . Then
Suppose now that . We can rewrite the above as
These equations look strange; the key concept to learn here is that we can find even if we don’t exactly know how and relate.
Watch the video:
Showing explicit and implicit differentiation give same result from https://youtu.be/2CsQ_l1S2_Y
We demonstrate this process in the following example.
Find given that .
SolutionWe start by taking the derivative of both sides (thus maintaining the equality). We have:
The right hand side is easy; it returns .
The left hand side requires more consideration. We take the derivative term-by-term. Using the technique derived from Equation (2.6.1) above, we can see that
We apply the same process to the term.
Putting this together with the right hand side, we have
Now solve for .
This equation for probably seems unusual for it contains both and terms. How is it to be used? We’ll address that next.
Implicit functions are generally harder to deal with than explicit functions. With an explicit function, given an value, we have an explicit formula for computing the corresponding value. With an implicit function, one often has to find and values at the same time that satisfy the equation. It is much easier to demonstrate that a given point satisfies the equation than to actually find such a point.
For instance, we can affirm easily that the point lies on the graph of the equation . Plugging in for , we see the left hand side is . Setting , we see the right hand side is also ; the equation is satisfied. The following example finds an equation of the tangent line to this equation at this point.
Find the equation of the line tangent to the implicitly defined curve at the point .
SolutionIn Example 2.6.1 we found that
We find the slope of the tangent line at the point by substituting for and for . Thus at the point , we have the slope as
Therefore an equation of the tangent line to the implicitly defined curve at the point is
The curve and this tangent line are shown in Figure 2.6.2.
This suggests a general method for implicit differentiation. For the steps below assume is a function of .
Take the derivative of each term in the equation. Treat the terms like normal. When taking the derivatives of terms, the usual rules apply except that, because of the Chain Rule, we need to multiply each term by .
Get all the terms on one side of the equal sign and put the remaining terms on the other side.
Factor out ; solve for by dividing.
Practical Note: When working by hand, it may be beneficial to use the symbol instead of , as the latter can be easily confused for or .
Given the implicitly defined function , find .
SolutionWe will take the implicit derivatives term by term. Using the Chain Rule the derivative of is .
The second term, is a little more work. It requires the Product Rule as it is the product of two functions of : and . We see that is
The first part of this expression requires a because we are taking the derivative of a term. The second part does not require it because we are taking the derivative of .
The derivative of the right hand side of the equation is found to be . In all, we get:
Move terms around so that the left side consists only of the terms and the right side consists of all the other terms:
Factor out from the left side and solve to get
To confirm the validity of our work, let’s find the equation of a tangent line to this curve at a point. It is easy to confirm that the point lies on the graph of this curve. At this point, . So the equation of the tangent line is . The equation and its tangent line are graphed in Figure 2.6.3.
Notice how our curve looks much different than other functions we have worked with up to this point. Such curves are important in many areas of mathematics, so developing tools to deal with them is also important.
Given the implicitly defined curve , find .
SolutionDifferentiating term by term, we find the most difficulty in the first term. It requires both the Chain and Product Rules.
We leave the derivatives of the other terms to the reader. After taking the derivatives of both sides, we have
We now have to be careful to properly solve for , particularly because of the product on the left. It is best to multiply out the product. Doing this, we get
From here we can safely move around terms to get the following:
Then we can solve for to get
A graph of this implicit equation is given in Figure 2.6.4(a). It is easy to verify that the points , and all lie on the graph. We can find the slopes of the tangent lines at each of these points using our formula for .
At , the slope is .
At , the slope is .
At , the slope is also .
The tangent lines have been added to the graph of the function in Figure 2.6.4(b).
Quite a few “famous” curves have equations that are given implicitly. We can use implicit differentiation to find the slope at various points on those curves. We investigate two such curves in the next examples.
Find the slope of the tangent line to the circle at the point .
SolutionTaking derivatives, we get . Solving for gives:
This is a clever formula. Recall that the slope of the line through the origin and the point on the circle will be . We have found that the slope of the tangent line to the circle at that point is the opposite reciprocal of , namely, . Hence these two lines are always perpendicular.
At the point , we have the tangent line’s slope as
In Figure 2.6.5, we see a graph of the circle and its tangent line at the point along with a thin dashed line from the origin that is perpendicular to the tangent line. (It turns out that all normal lines to a circle pass through the center of the circle.)
This section has shown how to find the derivatives of implicitly defined functions, whose graphs include a wide variety of interesting and unusual shapes. Implicit differentiation can also be used to further our understanding of “regular” differentiation.
We can use implicit differentiation to find higher order derivatives. In theory, this is simple: first find , then take its derivative with respect to . In practice, it is not hard, but it often requires a bit of algebra. We demonstrate this in an example.
Given , find .
SolutionWe found that in Example 2.6.5. To find , we apply implicit differentiation to .
|now use the Quotient Rule|
|since we were given|
We can see that when and when . In Section 3.4, we will see how this relates to the shape of the graph.
Implicit differentiation proves to be useful as it allows us to find the instantaneous rates of change of a variety of functions. We close with a small gallery of “interesting” and “famous” curves along with the implicit equations that produce them.
Folium of Descartes
The astroid and folium of Descartes also appear in Section 10.2. Other important implicit curves are the conic sections, which appear in Section 10.0. Also, the lemniscate, cardioid, and limaçon seen in Section 10.4 have particularly nice implicit representations.
In this chapter we have defined the derivative, given rules to facilitate its computation, and given the derivatives of a number of standard functions. We restate the most important of these in the following theorem, intended to be a reference for further work.
Let and be differentiable functions, and let and be real numbers, .
1. 2. 3. 4. 5. 6. 7. 8. 9. 10. 11. 12. 13. 14. 15. 16.
In your own words, explain the difference between implicit functions and explicit functions.
Implicit differentiation is based on what other differentiation rule?
T/F: Implicit differentiation can be used to find the derivative of .
T/F: Implicit differentiation can be used to find the derivative of .
In Exercises 5–22., find using implicit differentiation.
In Exercises 23–28., find the equation of the tangent line to the graph of the implicitly defined function at the indicated points. As a visual aid, each function is graphed.
In Exercises 29–32., an implicitly defined function is given. Find . Note: these are the same problems used in Exercises 5.–8..