Motivating Questions
- How does the integral function define an antiderivative of
- What is the statement of the Second Fundamental Theorem of Calculus?
- How do the First and Second Fundamental Theorems of Calculus enable us to formally see how differentiation and integration are almost inverse processes?
In Section 4.4, we learned the Fundamental Theorem of Calculus (FTC), which from here forward will be referred to as the First Fundamental Theorem of Calculus, as in this section we develop a corresponding result that follows it. Recall that the First FTC tells us that if is a continuous function on and is any antiderivative of (that is, ), then
We have used this result in two settings:
- If we have a graph of and we can compute the exact area bounded by on an interval we can compute the change in an antiderivative over the interval.
- If we can find an algebraic formula for an antiderivative of we can evaluate the integral to find the net signed area bounded by the function on the interval.
For the former, see Preview Activity 5.1.1 or Activity 5.1.2. For the latter, we can easily evaluate exactly integrals such as
since we know that the function is an antiderivative of Thus,
Thus, the First FTC can used in two ways. First, to find the difference for an antiderivative of the integrand even if we may not have a formula for itself. To do this, we must know the value of the integral exactly, perhaps through known geometric formulas for area. In addition, the First FTC provides a way to find the exact value of a definite integral, and hence a certain net signed area exactly, by finding an antiderivative of the integrand and evaluating its total change over the interval. In this case, we need to know a formula for the antiderivative Both of these perspectives are reflected in Figure .

The value of a definite integral may have additional meaning depending on context: as the change in position when the integrand is a velocity function, the total amount of pollutant leaked from a tank when the integrand is the rate at which pollution is leaking, or other total changes if the integrand is a rate function. Also, the value of the definite integral is connected to the average value of a continuous function on a given interval:
In the last part of Section 5.1, we studied integral functions of the form Figure 5.1.5 is a particularly important image to keep in mind as we work with integral functions, and the corresponding java applet at gvsu.edu/s/cz can help us understand the function In what follows, we use the First FTC to gain additional understanding of the function where the integrand is given (either through a graph or a formula), and is a constant.
Preview Activity
Consider the function defined by the rule
where
- Compute and exactly.
- Use the First Fundamental Theorem of Calculus to find a formula for that does not involve integrals. That is, use the first FTC to evaluate
- Observe that is a linear function; what kind of function is
- Using the formula you found in (b) that does not involve integrals, compute
- While we have defined by the rule it is equivalent to say that is given by the rule What do you observe about the relationship between and
The result of Preview Activity 1 is not particular to the function nor to the choice of “” as the lower bound in the integral that defines the function For instance, if we let and set we can determine a formula for by the First FTC. Specifically,
Differentiating since is constant, it follows that
and thus we see that so is an antiderivative of And since is the only antiderivative of for which
In general, if is any continuous function, and we define the function by the rule
where is an arbitrary constant, then we can show that is an antiderivative of To see why, let's demonstrate that by using the limit definition of the derivative. Doing so, we observe that
where Equation (
by a simple left-hand approximation of the integral. Thus, as we take the limit in Equation (
Hence,
The Second Fundamental Theorem of Calculus
If
Activity 5.2.2 5.2.2
Suppose that

In addition, let
- What does the Second FTC tell us about the relationship between
andA A f ? f\text{?} - Compute
andA ( 1 ) A(1) exactly.A ( 3 ) A(3) - Sketch a precise graph of
on the axes at right that accurately reflects wherey = A ( x ) y = A(x) is increasing and decreasing, whereA A is concave up and concave down, and the exact values ofA A atA A x = 0 , 1 , … , 7 . x = 0, 1, \ldots, 7\text{.} - How is
similar to, but different from, the functionA A that you found in Activity 5.1.2?F F - With as little additional work as possible, sketch precise graphs of the functions
andB ( x ) = ∫ 3 x f ( t ) d t B(x) = \int_3^x f(t) \, dt Justify your results with at least one sentence of explanation.C ( x ) = ∫ 1 x f ( t ) d t . C(x) = \int_1^x f(t) \, dt\text{.}
Understanding Integral Functions
The Second FTC provides us with a way to construct an antiderivative of any continuous function. In particular, if we are given a continuous function
provides the rule for such an antiderivative, and moreover that
This result is useful for understanding the graph of
Example 5.2.1 5.2.1
Investigate the behavior of the integral function
- Answer
-
is closely related to the well known error function 1 in probability and statistics. It turns out that the functionE E does not have an elementary antiderivative.e − t 2 e^{-t^2} The error function is defined by the rule and has the key property thaterf ( x ) = 2 π ∫ 0 x e − t 2 d t \erf (x) = \frac{2}{\sqrt{\pi}} \int_0^x e^{-t^2} \,dt for all0 ≤ erf ( x ) < 1 0 \le \erf (x) \lt 1 and moreover thatx ≥ 0 x \ge 0 lim x → ∞ erf ( x ) = 1 . \lim_{x \to \infty} \erf (x) = 1\text{.} While we cannot evaluate
exactly for any value other thanE E we still can gain a tremendous amount of information about the functionx = 0 , x = 0\text{,} By applying the rule in Equation (E . E\text{.} ) to5.2.2 5.2.2 it follows thatE , E\text{,} E ′ ( x ) = d d x [ ∫ 0 x e − t 2 d t ] = e − x 2 , E'(x) = \frac{d}{dx} \left[ \int_0^x e^{-t^2} \, dt \right] = e^{-x^2}\text{,} so we know a formula for the derivative of
and we know thatE , E\text{,} This information is precisely the type we were given in Activity 3.1.2, where we were given information about the derivative of a function, but lacked a formula for the function itself.E ( 0 ) = 0 . E(0) = 0\text{.} Using the first and second derivatives of
along with the fact thatE , E\text{,} we can determine more information about the behavior ofE ( 0 ) = 0 , E(0) = 0\text{,} First, we note that for all real numbersE . E\text{.} x , x\text{,} and thuse − x 2 > 0 , e^{-x^2} \gt 0\text{,} for allE ′ ( x ) > 0 E'(x) \gt 0 Thusx . x\text{.} is an always increasing function. Further, asE E x → ∞ , x \to \infty\text{,} so the slope of the functionE ′ ( x ) = e − x 2 → 0 , E'(x) = e^{-x^2} \to 0\text{,} tends to zero asE E (and similarly asx → ∞ x \to \infty ). Indeed, it turns out thatx → − ∞ x \to -\infty has horizontal asymptotes asE E increases or decreases without bound.x x In addition, we can observe that
and thatE ′ ′ ( x ) = − 2 x e − x 2 , E''(x) = -2xe^{-x^2}\text{,} whileE ′ ′ ( 0 ) = 0 , E''(0) = 0\text{,} forE ′ ′ ( x ) < 0 E''(x) \lt 0 andx > 0 x \gt 0 forE ′ ′ ( x ) > 0 E''(x) \gt 0 This information tells us thatx < 0 . x \lt 0\text{.} is concave up forE E and concave down forx < 0 x\lt 0 with a point of inflection atx > 0 x \gt 0 x = 0 . x = 0\text{.} The only thing we lack at this point is a sense of how big
can get asE E increases. If we use a midpoint Riemann sum with 10 subintervals to estimatex x we see thatE ( 2 ) , E(2)\text{,} a similar calculation to estimateE ( 2 ) ≈ 0.8822 ; E(2) \approx 0.8822\text{;} shows little change (E ( 3 ) E(3) ), so it appears that asE ( 3 ) ≈ 0.8862 E(3) \approx 0.8862 increases without bound,x x approaches a value just larger thanE E which aligns with the fact that0.886 , 0.886\text{,} has horizontal asymptotes. Putting all of this information together (and using the symmetry ofE E ), we see the results shown in Figuref ( t ) = e − t 2 f(t) = e^{-t^2} .5.2.3 5.2.3 
Figure . At left, the graph of5.2.3 5.2.3 At right, the integral functionf ( t ) = e − t 2 . f(t) = e^{-t^2}\text{.} which is the unique antiderivative ofE ( x ) = ∫ 0 x e − t 2 d t , E(x) = \int_0^x e^{-t^2} \ dt\text{,} that satisfiesf f E ( 0 ) = 0 . E(0) = 0\text{.} Because
is the antiderivative ofE E that satisfiesf ( t ) = e − t 2 f(t) = e^{-t^2} values on the graph ofE ( 0 ) = 0 , E(0) = 0\text{,} represent the net signed area of the region bounded byy = E ( x ) y = E(x) from 0 up tof ( t ) = e − t 2 f(t) = e^{-t^2} We see that the value ofx . x\text{.} increases rapidly near zero but then levels off asE E increases, since there is less and less additional accumulated area bounded byx x asf ( t ) = e − t 2 f(t) = e^{-t^2} increases.x x
Activity 5.2.3 5.2.3
Suppose that
- On the axes at left in Figure
, plot a graph of5.2.4 5.2.4 on the intervalf ( t ) = t 1 + t 2 f(t) = \frac{t}{1+t^2} Clearly label the vertical axes with appropriate scale.− 10 ≤ t ≤ 10 . -10 \le t \le 10\text{.} - What is the key relationship between
andF F according to the Second FTC?f , f\text{,} - Use the first derivative test to determine the intervals on which
is increasing and decreasing.F F - Use the second derivative test to determine the intervals on which
is concave up and concave down. Note thatF F can be simplified to be written in the formf ′ ( t ) f'(t) f ′ ( t ) = 1 − t 2 ( 1 + t 2 ) 2 . f'(t) = \frac{1-t^2}{(1+t^2)^2}\text{.} - Using technology appropriately, estimate the values of
andF ( 5 ) F(5) through appropriate Riemann sums.F ( 10 ) F(10) - Sketch an accurate graph of
on the righthand axes provided, and clearly label the vertical axes with appropriate scale.y = F ( x ) y = F(x)

Differentiating an Integral Function
We have seen that the Second FTC enables us to construct an antiderivative
then by the Second FTC, we know immediately that
In general, we know by the Second FTC that
This equation says that “the derivative of the integral function whose integrand is
What happens if we differentiate a function
We note that
Thus, we see that if we first differentiate
The observations made in the preceding two paragraphs demonstrate that differentiating and integrating (where we integrate from a constant up to a variable) are almost inverse processes. This should not be surprising: integrating involves antidifferentiating, which reverses the process of differentiating. On the other hand, we see that there is some subtlety involved, because integrating the derivative of a function does not quite produce the function itself. This is because every function has an entire family of antiderivatives, and any two of those antiderivatives differ only by a constant.
Activity 5.2.4 5.2.4
Evaluate each of the following derivatives and definite integrals. Clearly cite whether you use the First or Second FTC in so doing.
d d x [ ∫ 4 x e t 2 d t ] \displaystyle \frac{d}{dx} \left[ \int_4^x e^{t^2} \, dt \right] ∫ − 2 x d d t [ t 4 1 + t 4 ] d t \displaystyle \int_{-2}^x \frac{d}{dt} \left[ \frac{t^4}{1+t^4} \right] \, dt d d x [ ∫ x 1 cos ( t 3 ) d t ] \displaystyle \frac{d}{dx} \left[ \int_{x}^1 \cos(t^3) \, dt \right] ∫ 3 x d d t [ ln ( 1 + t 2 ) ] d t \displaystyle \int_{3}^x \frac{d}{dt} \left[ \ln(1+t^2) \right] \, dt .d d x [ ∫ 4 x 3 sin ( t 2 ) d t ] \frac{d}{dx} \left[ \int_4^{x^3} \sin(t^2) \, dt \right]
Summary
- For a continuous function
the integral functionf , f\text{,} defines an antiderivative ofA ( x ) = ∫ 1 x f ( t ) d t A(x) = \int_1^x f(t) \, dt f . f\text{.} - The Second Fundamental Theorem of Calculus is the formal, more general statement of the preceding fact: if
is a continuous function andf f is any constant, thenc c is the unique antiderivative ofA ( x ) = ∫ c x f ( t ) d t A(x) = \int_c^x f(t) \, dt that satisfiesf f A ( c ) = 0 . A(c) = 0\text{.} - Together, the First and Second FTC enable us to formally see how differentiation and integration are almost inverse processes through the observations that
∫ c x d d t [ f ( t ) ] d t = f ( x ) − f ( c ) \int_c^x \frac{d}{dt} \left[ f(t) \right] \, dt = f(x) - f(c) and
d d x [ ∫ c x f ( t ) d t ] = f ( x ) . \frac{d}{dx} \left[ \int_c^x f(t) \, dt \right] = f(x)\text{.}