Find the derivative of a complicated function by using implicit differentiation.
Use implicit differentiation to determine the equation of a tangent line.
We have already studied how to find equations of tangent lines to functions and the rate of change of a function at a specific point. In all these cases we had the explicit equation for the function and differentiated these functions explicitly. Suppose instead that we want to determine the equation of a tangent line to an arbitrary curve or the rate of change of an arbitrary curve at a point. In this section, we solve these problems by finding the derivatives of functions that define implicitly in terms of .
In most discussions of math, if the dependent variable is a function of the independent variable , we express in terms of . If this is the case, we say that is an explicit function of . For example, when we write the equation , we are defining explicitly in terms of . On the other hand, if the relationship between the function and the variable is expressed by an equation where is not expressed entirely in terms of , we say that the equation defines implicitly in terms of . For example, the equation defines the function implicitly.
Implicit differentiation allows us to find slopes of tangents to curves that are clearly not functions (they fail the vertical line test). We are using the idea that portions of are functions that satisfy the given equation, but that is not actually a function of .
In general, an equation defines a function implicitly if the function satisfies that equation. An equation may define many different functions implicitly. For example, the functions
which are illustrated in Figure 3.9, are just two of the many functions defined implicitly by the equation .
If we want to find the slope of the line tangent to the graph of at the point , we could evaluate the derivative of the function at . On the other hand, if we want the slope of the tangent line at the point , we could use the derivative of . However, it is not always easy to solve for a function defined implicitly by an equation. Fortunately, the technique of implicit differentiation allows us to find the derivative of an implicitly defined function without ever solving for the function explicitly. The process of finding using implicit differentiation is described in the following problem-solving strategy.
To perform implicit differentiation on an equation that defines a function implicitly in terms of a variable , use the following steps:
Take the derivative of both sides of the equation. Keep in mind that is a function of . Consequently, whereas because we must use the chain rule to differentiate with respect to .
Rewrite the equation so that all terms containing are on the left and all terms that do not contain are on the right.
Factor out on the left.
Solve for by dividing both sides of the equation by an appropriate algebraic expression.
Assuming that is defined implicitly by the equation , find .
Solution: Follow the steps in the problem-solving strategy.
Analysis: Note that the resulting expression for is in terms of both the independent variable and the dependent variable . Although in some cases it may be possible to express in terms of only, it is generally not possible to do so.
Assuming that is defined implicitly by the equation , find .
Solution:
Find if .
Solution: In Example 3.5.1, we showed that . We can take the derivative of both sides of this equation to find .
At this point we have found an expression for . If we choose, we can simplify the expression further by recalling that and making this substitution in the numerator to obtain .
Find for defined implicitly by the equation .
Hint: Follow the problem solving strategy, remembering to apply the chain rule to differentiate and .
Now that we have seen the technique of implicit differentiation, we can apply it to the problem of finding equations of tangent lines to curves described by equations.
Find the equation of the line tangent to the curve at the point .
Solution: Although we could find this equation without using implicit differentiation, using that method makes it much easier. In Example 3.5.1, we found .
The slope of the tangent line is found by substituting into this expression. Consequently, the slope of the tangent line is .
Using the point and the slope in the point-slope equation of the line, we obtain the equation (Figure 3.10).
Find the equation of the line tangent to the graph of at the point (Figure 3.11). This curve is known as the folium (or leaf) of Descartes.
Solution: Begin by finding .
Next, substitute into to find the slope of the tangent line:
Finally, substitute into the point-slope equation of the line to obtain
In a simple video game, a rocket travels in an elliptical orbit whose path is described by the equation . The rocket can fire missiles along lines tangent to its path. The object of the game is to destroy an incoming asteroid traveling along the positive -axis toward . If the rocket fires a missile when it is located at , where will it intersect the -axis?
Solution: To solve this problem, we must determine where the line tangent to the graph of
at intersects the -axis. Begin by finding implicitly.
Differentiating, we have
Solving for , we have
The slope of the tangent line is . The equation of the tangent line is . To determine where the line intersects the -axis, solve . The solution is . The missile intersects the -axis at the point .
Find the equation of the line tangent to the hyperbola at the point .
Hint:
We use implicit differentiation to find derivatives of implicitly defined functions (functions defined by equations).
By using implicit differentiation, we can find the equation of a tangent line to the graph of a curve.
We prove just the first one of these formulas. Let . Then . Now let’s use implicit differentiation. We obtain
For . Thus, applying the Pythagorean identity , we have . This gives
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Before ending this section we note that out of the derivative rules just stated, the most useful ones by far are the derivative of and . These are worth remembering but for the others it is safe to look them up when needed.
is a technique for computing for a function defined by an equation, accomplished by differentiating both sides of the equation (remembering to treat the variable as a function) and solving for