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[Calculus] VII. Integrals

2019. 2. 1. 22:42








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=cf(x)dx(2)[f(x)+g(x)]dx=f(x)dx+g(x)dx(3)kdx=kx+C(4)xndx=xn+1n+1+C(n1)



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 axb, we divide the interval [a, b] into n subintervals of equal width Δx=(ba)/n.

We let x0 (=a), x1, x2,  , xn (=b) be the endpoints of these subintervals and we let x1, x2,  , xn be any sample points in these subintervals, so xi lies in the ith subinterval [xi1, xi]. Then the definite integral of f from a to b is


baf(x)dx=limnni=1f(xi)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)dxni=1f(xi)Δx  |<ε


for every integer n>N and for every choice of xi in [xi1, xi].



Figure 1 : ni=1f(xi)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


ni=1f(xi)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(ba)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=cbaf(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 axb, then baf(x)dx0


(2)If f(x)g(x) for axb, then baf(x)dxbag(x)dx


(3)If mf(x)M for axb, then m(ba)baf(x)dxM(ba)


Proof.  (3) Since mf(x)M, (2) gives


bamdxbaf(x)dxbaMdx


Using Theorem 7.2.3 - (1) to evaluate the integrals on the left and right sides, we obtain


m(ba)baf(x)dxM(ba)








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)dtaxb


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)dtxaf(t)dt=(xaf(t)dt+x+hxf(t)dt)xaf(t)dt=x+hxf(t)dt


and so, for h0,


g(x+h)g(x)h=1hx+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


mhx+hxf(t)dtMh


that is,


f(u)hx+hxf(t)dtf(v)h


Since h>0, we can divide this inequality by h:


f(u)1hx+hxf(t)dtf(v)


Now we use Equation (i) to replace the middle part of this inequality:


f(u)g(x+h)g(x)hf(v)(ii)


Inequality (ii) can be proved in a similar manner for the case where h<0.

Now we let h0. Then ux and vx, since u and v lie between x and x+h. Therefore


limh0f(u)=limuxf(u)=f(x)limh0f(v)=limvxf(v)=f(x)


because f is continuous at x. We conclude, from (ii) and Theorem 1.2.3, that


g(x)=limh0g(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 xa+ and xb), 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 axb, 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 x14x2dx.

Solution.  Let u=14x2. Then du=8xdx, so xdx=18du and


x14x2dx=181udu=18u1/2du=18(2u)+C=1414x2+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 aaf(x)dx=2a0f(x)dx.

(b)  If f is odd ( f(x)=f(x) ), then aaf(x)dx=0.


Proof.  We split the integral in two:


aaf(x)dx=0af(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


aaf(x)dx=a0f(u)du+a0f(x)dx(vii)


(a)  If f is even, then f(u)=f(u) so Equation (vii) gives


aaf(x)dx=a0f(u)du+a0f(x)dx=2a0f(x)dx


(b)  If f is odd, then f(u)=f(u) so Equation (vii) gives


aaf(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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