- Use Rolle’s theorem and the Mean Value Theorem to show how functions behave between two points
- Discuss three key implications of the Mean Value Theorem for understanding function behavior
The Mean Value Theorem
The Mean Value Theorem is one of the most important theorems in calculus. We look at some of its implications at the end of this section. First, let’s start with a special case of the Mean Value Theorem, called Rolle’s theorem.
Rolle’s Theorem
Informally, Rolle’s theorem states that if the outputs of a differentiable function [latex]f[/latex] are equal at the endpoints of an interval, then there must be an interior point [latex]c[/latex] where [latex]f^{\prime}(c)=0[/latex]. Figure 1 illustrates this theorem.
Rolle’s theorem
Let [latex]f[/latex] be a continuous function over the closed interval [latex][a,b][/latex] and differentiable over the open interval [latex](a,b)[/latex] such that [latex]f(a)=f(b)[/latex]. There then exists at least one [latex]c \in (a,b)[/latex] such that [latex]f^{\prime}(c)=0[/latex].
Proof
Let [latex]k=f(a)=f(b)[/latex]. We consider three cases:
- [latex]f(x)=k[/latex] for all [latex]x \in (a,b)[/latex].
- There exists [latex]x \in (a,b)[/latex] such that [latex]f(x)>k[/latex].
- There exists [latex]x \in (a,b)[/latex] such that [latex]f(x)
Case 1: If [latex]f(x)=k[/latex] for all [latex]x \in (a,b)[/latex], then [latex]f^{\prime}(x)=0[/latex] for all [latex]x \in (a,b)[/latex].
Case 2: Since [latex]f[/latex] is a continuous function over the closed, bounded interval [latex][a,b][/latex], by the extreme value theorem, it has an absolute maximum. Also, since there is a point [latex]x \in (a,b)[/latex] such that [latex]f(x)>k[/latex], the absolute maximum is greater than [latex]k[/latex]. Therefore, the absolute maximum does not occur at either endpoint. As a result, the absolute maximum must occur at an interior point [latex]c \in (a,b)[/latex]. Because [latex]f[/latex] has a maximum at an interior point [latex]c[/latex], and [latex]f[/latex] is differentiable at [latex]c[/latex], by Fermat’s theorem, [latex]f^{\prime}(c)=0[/latex].
Case 3: The case when there exists a point [latex]x \in (a,b)[/latex] such that [latex]f(x) [latex]_\blacksquare[/latex]
An important point about Rolle’s theorem is that the differentiability of the function [latex]f[/latex] is critical. If [latex]f[/latex] is not differentiable, even at a single point, the result may not hold.
For example, the function [latex]f(x)=|x|-1[/latex] is continuous over [latex][-1,1][/latex] and [latex]f(-1)=0=f(1)[/latex], but [latex]f^{\prime}(c) \ne 0[/latex] for any [latex]c \in (-1,1)[/latex] as shown in the following figure.
Let’s now consider functions that satisfy the conditions of Rolle’s theorem and calculate explicitly the points [latex]c[/latex] where [latex]f^{\prime}(c)=0[/latex].
For each of the following functions, verify that the function satisfies the criteria stated in Rolle’s theorem and find all values [latex]c[/latex] in the given interval where [latex]f^{\prime}(c)=0[/latex].
- [latex]f(x)=x^2+2x[/latex] over [latex][-2,0][/latex]
- [latex]f(x)=x^3-4x[/latex] over [latex][-2,2][/latex]
Verify that the function [latex]f(x)=2x^2-8x+6[/latex] defined over the interval [latex][1,3][/latex] satisfies the conditions of Rolle’s theorem. Find all points [latex]c[/latex] guaranteed by Rolle’s theorem.
The Mean Value Theorem and Its Meaning
Rolle’s theorem is a special case of the Mean Value Theorem. In Rolle’s theorem, we consider differentiable functions [latex]f[/latex]defined on a closed interval [latex][a,b][/latex] with [latex]f(a)=f(b)[/latex]. The Mean Value Theorem generalizes Rolle’s theorem by considering functions that do not necessarily have equal value at the endpoints. Consequently, we can view the Mean Value Theorem as a slanted version of Rolle’s theorem (Figure 5).
The Mean Value Theorem states that if [latex]f[/latex] is continuous over the closed interval [latex][a,b][/latex] and differentiable over the open interval [latex](a,b)[/latex], then there exists a point [latex]c \in (a,b)[/latex] such that the tangent line to the graph of [latex]f[/latex] at [latex]c[/latex] is parallel to the secant line connecting [latex](a,f(a))[/latex] and [latex](b,f(b))[/latex].
Mean Value Theorem
Let [latex]f[/latex] be continuous over the closed interval [latex][a,b][/latex] and differentiable over the open interval [latex](a,b)[/latex]. Then, there exists at least one point [latex]c \in (a,b)[/latex] such that
Proof
The proof follows from Rolle’s theorem by introducing an appropriate function that satisfies the criteria of Rolle’s theorem. Consider the line connecting [latex](a,f(a))[/latex] and [latex](b,f(b))[/latex]. Since the slope of that line is
and the line passes through the point [latex](a,f(a))[/latex], the equation of that line can be written as
Let [latex]g(x)[/latex] denote the vertical difference between the point [latex](x,f(x))[/latex] and the point [latex](x,y)[/latex] on that line. Therefore,
Since the graph of [latex]f[/latex] intersects the secant line when [latex]x=a[/latex] and [latex]x=b[/latex], we see that [latex]g(a)=0=g(b)[/latex]. Since [latex]f[/latex] is a differentiable function over [latex](a,b)[/latex], [latex]g[/latex] is also a differentiable function over [latex](a,b)[/latex]. Furthermore, since [latex]f[/latex] is continuous over [latex][a,b][/latex], [latex]g[/latex] is also continuous over [latex][a,b][/latex]. Therefore, [latex]g[/latex] satisfies the criteria of Rolle’s theorem. Consequently, there exists a point [latex]c \in (a,b)[/latex] such that [latex]g^{\prime}(c)=0[/latex]. Since
we see that
Since [latex]g^{\prime}(c)=0[/latex], we conclude that
[latex]_\blacksquare[/latex]
In the next example, we show how the Mean Value Theorem can be applied to the function [latex]f(x)=\sqrt{x}[/latex] over the interval [latex][0,9][/latex]. The method is the same for other functions, although sometimes with more interesting consequences.
For [latex]f(x)=\sqrt{x}[/latex] over the interval [latex][0,9][/latex], show that [latex]f[/latex] satisfies the hypothesis of the Mean Value Theorem, and therefore there exists at least one value [latex]c \in (0,9)[/latex] such that [latex]f^{\prime}(c)[/latex] is equal to the slope of the line connecting [latex](0,f(0))[/latex] and [latex](9,f(9))[/latex]. Find these values [latex]c[/latex] guaranteed by the Mean Value Theorem.
One application that helps illustrate the Mean Value Theorem involves velocity.
Suppose we drive a car for [latex]1[/latex] hr down a straight road with an average velocity of [latex]45[/latex] mph.
Let [latex]s(t)[/latex] and [latex]v(t)[/latex] denote the position and velocity of the car, respectively, for [latex]0 \le t \le 1[/latex] hr. Assuming that the position function [latex]s(t)[/latex] is differentiable, we can apply the Mean Value Theorem to conclude that, at some time [latex]c \in (0,1)[/latex], the speed of the car was exactly
If a rock is dropped from a height of [latex]100[/latex] ft, its position [latex]t[/latex] seconds after it is dropped until it hits the ground is given by the function [latex]s(t)=-16t^2+100[/latex].
- Determine how long it takes before the rock hits the ground.
- Find the average velocity [latex]v_{\text{avg}}[/latex] of the rock for when the rock is released and the rock hits the ground.
- Find the time [latex]t[/latex] guaranteed by the Mean Value Theorem when the instantaneous velocity of the rock is [latex]v_{\text{avg}}[/latex].
Watch the following video to see the worked solution to the two previous examples.