[Calculus] VII. Integrals
Indefinite Integrals
Definition 7.1.1. A function F is called an antiderivative of f on an interval I if F′(x)=f(x) for all x in I.
Theorem 7.1.2. If F is an antiderivative of f on an interval I, then the most general antiderivative of f on I is
F(x)+C
where C is an arbitrary constant.
Definition 7.1.3. The notation ∫f(x)dx is used for an antiderivative of f and is called an indefinite integral. Thus
∫f(x)dx=F(x)meansF′(x)=f(x)
Theorem 7.1.4.
(1)∫cf(x)dx=c∫f(x)dx(2)∫[f(x)+g(x)]dx=∫f(x)dx+∫g(x)dx(3)∫kdx=kx+C(4)∫xndx=xn+1n+1+C(n≠−1)
Theorem 7.1.5.
(1)∫sinxdx=−cosx+C(2)∫cosxdx=sinx+C(3)∫sec2xdx=tanx+C(4)∫csc2xdx=−cotx+C(5)∫secxtanxdx=secx+C(6)∫cscxcotxdx=−cscx+C
The Definite Integral
Definition 7.2.1. If f is a function defined for a≥x≥b, we divide the interval [a, b] into n subintervals of equal width Δx=(b−a)/n.
We let x0 (=a), x1, x2, ⋯ , xn (=b) be the endpoints of these subintervals and we let x∗1, x∗2, ⋯ , x∗n be any sample points in these subintervals, so x∗i lies in the ith subinterval [xi−1, xi]. Then the definite integral of f from a to b is
∫baf(x)dx=limn→∞n∑i=1f(x∗i)Δx
provided that this limit exists and gives the same value for all possible choices of sample points. If it does exist, we say that f is integrable on [a, b]. The precise meaning of the limit that defines the integral is as follows:
For every number ε>0 there is an integer N such that
| ∫baf(x)dx−n∑i=1f(x∗i)Δx |<ε
for every integer n>N and for every choice of x∗i in [xi−1, xi].
Figure 1 : n∑i=1f(x∗i)Δx
Figure 2 : ∫baf(x)dx
Remark 7.2.2. The symbol ∫ was introduced by Leibniz and is called an integral sign. It is an elongated S and was chosen because an integral is a limit of sums. In the notation ∫baf(x)dx, f(x) is called the integrand and a and b are called the limits of integration; a is the lower limit and b is the upper limit. The procedure of calculating an integral is called integration.
The sum
n∑i=1f(x∗i)Δx
is called a Riemann sum. So the definition says that the definite integral of an integrable function can be approximated to within any desired degree of accuracy by a Riemann sum.
Also, notice that If f(x)≥0, the integral ∫baf(x)dx is the area under the curve y=f(x) from a to b.
Theorem 7.2.3.
(1)∫bacdx=c(b−a)where c is any constant(2)∫abf(x)dx=−∫baf(x)dx(3)∫aaf(x)dx=0(4)∫ba[f(x)+g(x)]dx=∫baf(x)dx+∫bag(x)dx(5)∫bacf(x)dx=c∫baf(x)dxwhere c is any constant(6)∫caf(x)dx+∫bcf(x)dx=∫baf(x)dx
Theorem 7.2.4.
(1)If f(x)≥0 for a≤x≤b, then ∫baf(x)dx≥0
(2)If f(x)≥g(x) for a≤x≤b, then ∫baf(x)dx≥∫bag(x)dx
(3)If m≤f(x)≤M for a≤x≤b, then m(b−a)≤∫baf(x)dx≤M(b−a)
Proof. (3) Since m≤f(x)≤M, (2) gives
∫bamdx≤∫baf(x)dx≤∫baMdx
Using Theorem 7.2.3 - (1) to evaluate the integrals on the left and right sides, we obtain
m(b−a)≤∫baf(x)dx≤M(b−a)
◻
The Fundamental Theorem of Calculus (FTC)
Theorem 7.3.1. (FTC1) If f is continuous on [a, b], then the function g defined by
g(x)=∫xaf(t)dta≤x≤b
is continuous on [a, b] and differentiable on (a, b), and
g′(x)=f(x)
Proof. If x and x+h are in (a, b), then
g(x+h)−g(x)=∫x+haf(t)dt−∫xaf(t)dt=(∫xaf(t)dt+∫x+hxf(t)dt)−∫xaf(t)dt=∫x+hxf(t)dt
and so, for h≠0,
g(x+h)−g(x)h=1h∫x+hxf(t)dt⋯(i)
For now let’s assume that h>0. Since f is continuous on [x, x+h], Theorem 6.1.5 says that there are numbers u and v in [x, x+h] such that f(u)=m and f(v)=M, where m and M are the absolute minimum and maximum values of f on [x, x+h].
By Theorem 7.2.4 - (3), we have
mh≤∫x+hxf(t)dt≤Mh
that is,
f(u)h≤∫x+hxf(t)dt≤f(v)h
Since h>0, we can divide this inequality by h:
f(u)≤1h∫x+hxf(t)dt≤f(v)
Now we use Equation (i) to replace the middle part of this inequality:
f(u)≤g(x+h)−g(x)h≤f(v)⋯(ii)
Inequality (ii) can be proved in a similar manner for the case where h<0.
Now we let h→0. Then u→x and v→x, since u and v lie between x and x+h. Therefore
limh→0f(u)=limu→xf(u)=f(x)limh→0f(v)=limv→xf(v)=f(x)
because f is continuous at x. We conclude, from (ii) and Theorem 1.2.3, that
g′(x)=limh→0g(x+h)−g(x)h=f(x)⋯(iii)
If x=a or b, then Equation (iii) can be interpreted as a one-sided limit. Then Theorem 3.1.7 (modified for one-sided limits) shows that g is continuous on [a, b].
◻
Theorem 7.3.2. (FTC2) If f is continuous on [a, b], then
∫baf(x)dx=F(b)−F(a)
where F is any antiderivative of f, that is, a function F such that F′=f.
Proof. Let g(x)=∫xaf(t)dt. We know from Theorem 7.3.1 that g′(x)=f(x); that is, g is an antiderivative of f. If F is any other antiderivative of f on [a, b], then we know from Corollary 6.2.4 that F and g differ by a constant:
F(x)=g(x)+C⋯(iv)
for a<x<b. But both F and g are continuous on [a, b] and so, by taking limits of both sides of Equation (iv) (as x→a+ and x→b−), we see that it also holds when x=a and x=b. So F(x)=g(x)+C for all x in [a, b].
If we put x=a in the formula for g(x), we get
g(a)=∫aaf(t)dt=0
So, using Equation (iv) with x=b and x=a, we have
F(b)−F(a)=[ g(b)+C ]−[ g(a)+C ]=g(b)−g(a)=g(b)=∫baf(t)dt
◻
Remark 7.3.3. Theorem 7.3.2 states that if we know an antiderivative F of f, then we can evaluate ∫baf(x)dx simply by subtracting the values of F at the endpoints of the interval [a, b]. It’s very surprising that ∫baf(x)dx, which was defined by a complicated procedure involving all of the values of f(x) for a≤x≤b, can be found by knowing the values of F(x) at only two points, a and b.
The Substitution Rule
Theorem 7.4.1. (The Substitution Rule) If u=g(x) is a differentiable function whose range is an interval I and f is continuous on I, then
∫f(g(x))g′(x)dx=∫f(u)du
Proof. If F′=f, then
∫F′(g(x))g′(x)dx=F(g(x))+C⋯(v)
because, by Theorem 4.2.1,
ddx[F(g(x))]=F′(g(x))g′(x)
If we make the “change of variable” or “substitution” u=g(x), then from Equation (v) we have
∫F′(g(x))g′(x)dx=F(g(x))+C=F(u)+C=∫F′(u)du
or, writing F′=f, we get
∫f(g(x))g′(x)dx=∫f(u)du
Thus we have proved the following rule.
◻
Remark 7.4.2. Notice that Theorem 7.4.1 for integration was proved using Theorem 4.2.1 for differentiation. Notice also that if u=g(x), then du=g′(x)dx, so a way to remember Theorem 7.4.1 is to think of dx and du as differentials.
Thus Theorem 7.4.1 says: it is permissible to operate with dx and du after integral signs as if they were differentials.
Example 7.4.3. Find ∫x√1−4x2dx.
Solution. Let u=1−4x2. Then du=−8xdx, so xdx=−18du and
∫x√1−4x2dx=−18∫1√udu=−18∫u−1/2du=−18(2√u)+C=−14√1−4x2+C
◻
Theorem 7.4.4. If g′ is continuous on [a, b] and f is continuous on the range of u=g(x), then
∫baf(g(x))g′(x)dx=∫g(b)g(a)f(u)du
Proof. Let F be an antiderivative of f. Then, by (v), F(g(x)) is an antiderivative of f(g(x))g′(x), so by Theorem 7.3.2, we have
∫baf(g(x))g′(x)dx=F(g(x))]ba=F(g(b))−F(g(a))
But, applying Theorem 7.3.2 a second time, we also have
∫g(b)g(a)f(u)du=F(u)]g(b)g(a)=F(g(b))−F(g(a))
◻
Theorem 7.4.5. Suppose f is continuous on [−a, a].
(a) If f is even ( f(−x)=f(x) ), then ∫a−af(x)dx=2∫a0f(x)dx.
(b) If f is odd ( f(−x)=−f(x) ), then ∫a−af(x)dx=0.
Proof. We split the integral in two:
∫a−af(x)dx=∫0−af(x)dx+∫a0f(x)dx=−∫−a0f(x)dx+∫a0f(x)dx⋯(vi)
In the first integral on the far right side we make the substitution u=−x. Then du=−dx and when x=−a, u=a. Therefore
−∫−a0f(x)dx=−∫a0f(−u)(−du)=∫a0f(−u)du
and so Equation (vi) becomes
∫a−af(x)dx=∫a0f(−u)du+∫a0f(x)dx⋯(vii)
(a) If f is even, then f(−u)=f(u) so Equation (vii) gives
∫a−af(x)dx=∫a0f(u)du+∫a0f(x)dx=2∫a0f(x)dx
(b) If f is odd, then f(−u)=−f(u) so Equation (vii) gives
∫a−af(x)dx=−∫a0f(u)du+∫a0f(x)dx=0
◻
The body text and the figures were excerpted from James Stewart, Calculus 8E.
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