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Definition A function F is called an antiderivative of f on an interval I if F0(x) =f(x) for all x inI.

TheoremIfF is an antiderivative off on an intervalI, then the most general antiderivative of f on I isF(x) +C where C is an arbitrary constant.

Examples Find the most general antiderivative of each of the following functions.

(1) f(x) = sinx (2) f(x) = 1

x

(3) f(x) =xn, n 6=−1 (4) f(x) = 4 sinx+ 2x5 −√

x x Examples

1. The following are graphs of a functionf and a rough sketch of its antiderivativeF satisfying F(0) = 2.

2. A particle moves in a straight line and has acceleration given by a(t) = 6t+ 4. Its initial velocity is v(0) = −6 cm/s and its initial displacement is s(0) = 9 cm. Find its position functions(t).

Definitions

(a) Let I = [a, b]⊂R. A set P ={x0, x1, . . . , xn} ⊂I is called a partition of I if a=x0 < x1 < . . . < xn=b.

(b) Let P be a partition of I. Define

∆xi = xi −xi−1 = the width of the ith interval [xi−1, xi] kPk = max

1≤i≤n ∆xi = max {∆xi |1≤i≤n}= the norm of partition P (c) Let f be a function defined on I and let P be a partition of I. Then

R(f, P) =

n

X

i=1

f(xi) ∆xi, where xi ∈[xi−1, xi] for each 1≤i≤n, is called a Riemann sum of f with respect to the partition P of I.

(d) Let f be a function defined on I = [a, b]. The definite integral of f from a to b, denoted Z b

a

f(x)dx is defined to be Z b

a

f(x)dx= lim

kPk→0 n

X

i=1

f(xi) ∆xi provided that the limit exists,

where xi ∈[xi−1, xi] and ∆xi =xi−xi−1 for each 1≤i≤n.

(2)

(e) Let f be a bounded function defined on I and letP be a partition of I. Then U(f, P) =

n

X

i=1

sup

x∈[xi−1,xi]

f(x) ∆xi,

where sup

x∈[xi−1,xi]

f(x) = the least upper bound of {f(x) | x ∈ [xi−1, xi]}, is called an upper sum of f with respect to the partition P of I, and

L(f, P) =

n

X

i=1

x∈[xinfi−1,xi]f(x) ∆xi, where inf

x∈[xi−1,xi]f(x) = the greatest lower bound of {f(x) |x ∈ [xi−1, xi]}, is called a lower sum of f with respect to the partition P of I.

(f) Let P ={a =x0 < x1 < . . . < xn =b}, Q ={a=t0 < t1 < . . . < tm =b} be partitions of I. Q issaid to be finer than P,denoted P ⊆Q, if

P ={a=x0 < x1 < . . . < xn=b} ⊆ {a =t0 < t1 < . . . < tm =b}=Q

=⇒ kQk= max

1≤j≤m ∆tj ≤ kPk= max

1≤i≤n ∆xi.

(g) Let f be a function defined on I = [a, b]. Then f is said to be (Riemann) integrable on I if f is bounded on [a, b] and the definite integral

Z b a

f(x)dx exists, i.e. if f is bounded on [a, b] and the definite integral

Z b

a

f(x)dx= lim

kPk→0 R(f, P)= lim

1≤i≤nmax ∆xi→0 n

X

i=1

f(xi) ∆xi exists.

Proposition Let

• f be bounded on [a, b],

• P = {a = x0 < x1 < . . . < xn =b}, Q ={a =t0 < t1 < . . . < tm =b} be partitions of I such thatQ is finer than P.

Then inf

x∈[a,b]f(x) (b−a)≤L(f, P)≤L(f, Q)≤U(f, Q)≤U(f, P)≤ sup

x∈[a,b]

f(x) (b−a).

Proof For each 1≤j ≤m, since P ⊆Q, there exists 1≤i≤n such that [tj−1, tj]⊆[xi−1, xi] =⇒ inf

x∈[xi−1,xi]f(x)≤ inf

x∈[tj−1,tj]f(x)≤ sup

x∈[tj−1,tj]

f(x)≤ sup

x∈[xi−1,xi]

f(x) Definitions Let f be a function defined on an interval I. Then

(a) f is said to becontinuous onI if for eachε >0 and for eachx∈I,there existsδ =δ(ε, x)>

0, such that

if y∈I and if |y−x|< δ then |f(y)−f(x)|< ε.

(3)

(b) f is said to be uniformly continuous on I if for each ε > 0 and for each x∈I, there exists δ=δ(ε)>0, such that

if x, y ∈I and if |y−x|< δ then |f(y)−f(x)|< ε.

(c) f is not uniformly continuous on I if there exists ε0 > 0, such that for each n ∈ N = {1,2, . . .}, there existxn, yn∈I such that

n→∞lim |yn−xn|= 0 while lim

n→∞|f(yn)−f(xn)| ≥ε0 >0.

Examples

(1) Let f be defined byf(x) = 1

x forx∈I = (0,1), a bounded, not closed interval.

For each a∈I, since a6= 0,

x→alim f(x) =f(a), f is continuous on I.

However, ifxn = 1

n+ 1, yn = 1

2(n+ 1) for each n ∈N={1,2, . . .}, then xn, yn∈I,

n→∞lim |yn−xn|= lim

n→∞

1

2(n+ 1) − 1 n+ 1

= lim

n→∞

1

2(n+ 1) = 0 while

n→∞lim |f(yn)−f(xn)|= lim

n→∞

1 yn − 1

xn

= lim

n→∞

1 1 2(n+ 1)

− 1 1 n+ 1

= lim

n→∞(n+1)≥1 = ε0 >0.

This implies that f(x) = 1

x is not uniformly continuous on (0,1). Note that f(x) = 1 x is uniformly continuous on [a, b] for any a >0.

(2) Let f be defined byf(x) =x2 for x∈R= (−∞,∞),an unbounded interval.

For each a∈R,since

x→alim f(x) =f(a), f is continuous on R.

However, ifxn =n+ 1

n, yn=n for each n∈N={1,2, . . .},then xn, yn ∈(−∞,∞),

n→∞lim |yn−xn|= lim

n→∞

n−n− 1 n

= lim

n→∞

1

n(n+ 1) = 0 while

n→∞lim |f(yn)−f(xn)|= lim

n→∞

y2n−x2n

= lim

n→∞

n2

n+ 1 n

2

= lim

n→∞

−2 + 1 n2

= 2 =ε0 >0.

This implies thatf(x) = x2 is not uniformly continuous on (−∞,∞).Note that ifa, b∈R, then f(x) =x2 is uniformly continuous on [a, b].

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Theorem Letf be continuous on a closed interval I = [a, b].Then

• the range of f is a bounded, closed interval, i.e. there exist m≤M ∈R such that min

x∈[a,b]f(x) = m, max

x∈[a,b]f(x) = M and f(I) = {f(x)|x∈[a, b]}= [m, M].

ProofUse the Extreme Value Theorem and the Intermediate Value Theorem.

• f is uniformly continuous on I.

Proof Use the Bolzano Weierstrass Theorem (i.e. every bounded sequence in I = [a, b]

contains a convergent subsequence) and a contradictory argument.

• f is (Riemann) integrable on I.

Proof Since f is continuous on a closed interval I = [a, b], f is uniformly continuous on I = [a, b].Given ε >0, there exists δ >0 such that

if x, y ∈I and if |y−x|< δ then |f(y)−f(x)|< ε b−a. LetP ={a =x0 < x1 < . . . < xn=b} be a partition of I = [a, b] such that

kPk= max

1≤i≤n∆xi < δ.

Since

0≤U(f, P)−L(f, P) =

n

X

i=1

x∈[xmaxi−1,xi] f(x)− min

x∈[xi−1,xi]f(x)

∆xi < ε

b−a · (b−a) = ε, f is (Riemann) integrable on I.

Properties of Integral

(a) If cis a constant, then cis integrable on [a, b] and Z b

a

c dx=c(b−a).

(b) If f, g are integrable on [a, b], then cf +g is integrable on [a, b] for any constantc and Z b

a

cf(x) +g(x)

dx=c Z b

a

f(x)dx+ Z b

a

g(x)dx.

(c) If f is integrable on [a, b] and if [a, b] = [a, c]∪[c, b], then Z c

c

f(x)dx = 0, Z b

a

f(x)dx= Z c

a

f(x)dx+

Z b c

f(x)dx and Z a

b

f(x)dx=− Z b

a

f(x)dx.

(d) If f, g are integrable on [a, b] andf(x)≥g(x) for x∈[a, b], then Z b

a

f(x)dx≥ Z b

a

g(x)dx.

In particular,

• if m≤f(x)≤M for x∈[a, b], then m(b−a)≤

Z b a

f(x)dx ≤M(b−a),

• if f(x)≥0 for x∈[a, b],then Z b

a

f(x)dx = the area of the region bounded by y=f(x), y = 0, x=a and x=b.

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By the Property (c) of Integral, we have the following

The Fundamental Theorem of Calculus Iff is continuous on [a, b],then (a) the function g defined by

g(x) = Z x

a

f(t)dt is continuous on [a, b] and differentiate on (a, b) with

g0(x) = f(x) ⇐⇒ lim

h→0

g(x+h)−g(x)−f(x)h

h = lim

h→0

Rx+h

x [f(t)−f(x)]dt

h = 0

⇐⇒ d dx

Z x a

f(t)dt=f(x) for x∈(a, b), i.e. g(x) =

Z x a

f(t)dt is an antiderivative of f on (a, b).

(b) Z b

a

f(x)dx=F(b)−F(a),whereF is any antiderivative off on (a, b),that is,F0(x) = f(x) for x∈(a, b).

Examples

(1) Let g(x) = Z x

0

1 +t2dt. Find g0(x).

(2) Let S(x) = Z x

0

sin πt2 2

dt. FindS0(x).

(3) Evaluate the integral Z 3

1

exdx.

Combining the Property (c) of Integral, the Fundamental Theorem of Calculus and the Chain Rule, we have the following

Leibniz Rule If f is continuous on [a, b] and if u = u(x), ` = `(x) are differentiable functions with values in [a, b], then

d dx

Z u(x)

`(x)

f(t)dt = d dx

Z a

`(x)

f(t)dt+ Z u(x)

a

f(t)dt

= d dx

Z u(x)

a

f(t)dt− Z `(x)

a

f(t)dt

= d

du Z u

a

f(t)dt · du dx− d

d`

Z ` a

f(t)dt · d`

dx by the Chain Rule

= f(u(x))du

dx −f(`(x)) d`

dx by the Fundamental Theorem of Calculus

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Average Value of a Function Letf be a function defined on [a, b]. The average value off on the interval [a, b] is defined by

favg = 1 b−a

Z b a

f(x)dx.

The Mean Value Theorem for IntegralIffis continuous on [a, b],then there exists a number cin [a, b] such that

F(b)−F(a) =F0(c)(b−a) ⇐⇒ f(c) = 1 b−a

Z b a

f(x)dx=favg, where F(x) =

Z x a

f(t)dt.

Definition An indefinite integral Z

f(x)dx is a family of functions F(x) +C such that d

dx F(x) +C

=F0(x) =f(x).

Table of Indefinite Integrals Z

cf(x)dx=c Z

f(x)dx

Z

[f(x) +g(x)]dx= Z

f(x)dx+ Z

g(x)dx Z

k dx=kx+C Z

xndx= xn+1

n+ 1 +C if n6= 1

Z 1

xdx= ln|x|+C Z

exdx=ex+C

Z

bxdx= bx

lnb +C for 0< b6= 1 Z

sinx dx=−cosx+C

Z

cosx dx= sinx+C Z

sec2x dx= tanx+C

Z

csc2x dx=−cotx+C Z

secxtanx dx= secx+C

Z

cscxcotx dx=−cscx+C Z 1

x2+ 1dx= tan−1x+C

Z 1

√1−x2 dx= sin−1x+C Z

sinhx dx= coshx+C

Z

coshx dx= sinhx+C

The Substitution Rule If u = g(x) is a differentiable function whose range is an interval I and f is continuous onI, then

Z

f(g(x))g0(x)dx= Z

f(u)du.

The Substitution Rule for Definite IntegralsIfg0 is continuous on [a, b] andf is continuous on the range ofu=g(x),then

Z b a

f(g(x))g0(x)dx= Z g(b)

g(a)

f(u)du.

(7)

Examples

(1) Find

Z cosθ sin2θdθ.

(2) The integral of a rate of change F0(x) is the net change of F fromx=a tox=b:

Z b a

F0(x)dx=F(b)−F(a)

• If V(t) is the volume of water in a reservoir at time t, then its derivative V0(t) is the rate at which water flows into the reservoir at time t. So

Z t2

t1

V0(t)dt=V(t2)−V(t1)

is the change in the amount of water in the reservoir between timet1 and time t2.

• If [C](t) is the concentration of the product of a chemical reaction at time t, then the rate of reaction is the derivative d[C]

dt .So Z t2

t1

d[C]

dt dt = [C](t2)−[C](t1) is the change in the concentration ofC from timet1 to time t2.

• If the mass of a rod measured from the left end to a pointx ism(x),then the linear density isρ(x) = m0(x). So

Z b a

ρ(x)dx=m(b)−m(a)

is the mass of the segment of the rod that lies between x=a and x=b.

• If the rate of growth of a population is dn dt, then Z t2

t1

dn

dt dt=n(t2)−n(t1)

is the net change in population during the time period fromt1 tot2.

• If C(x) is the cost of producing x units of a commodity, then the marginal cost is the derivativeC0(x). So

Z x2

x1

C0(x)dx=C(x2)−C(x1)

is the increase in cost when production is increased fromx1 units tox2 units.

• If an object moves along a straight line with position function s(t), then its velocity is v(t) =s0(t), so

Z t2

t1

v(t)dt=s(t2)−s(t1)

is the net change of position, or displacement, of the object during the time period from t1 tot2,and

Z t2

t1

|v(t)|dt= total distance travelled

(8)

• The acceleration of the object isa(t) =v0(t),so Z t2

t1

a(t)dt=v(t2)−v(t1) is the change in velocity from timet1 to timet2.

(3) A particle moves along a line so that its velocity at time tis v(t) =t2−t−6.(measured in meters per second).

• Show that the displacement of the particle during the time period 1 ≤t≤4 is −9 2 m.

• Show that the distance traveled during this time period is 61 6 m.

Examples

(1) Find Z

x3cos(x4+ 2)dx.

(2) Show that Z 4

0

√2x+ 1dx= 26 3 .

(3) Suppose that f is continuous and even on [−a, a], i.e. f(−x) = f(x) for x∈ [−a, a]. Show that

Z a

−a

f(x)dx= 2 Z a

0

f(x)dx.

(4) Suppose that f is continuous and odd on [−a, a],i.e. f(−x) =−f(x) for x∈[−a, a]. Show that

Z a

−a

f(x)dx= 0.

(5) Show that Z 2

−2

x6+ 1

dx= 2 Z 2

0

x6+ 1

dx= 284 7 . (6) Show that

Z 1

−1

tanx

1 +x2+x4 dx= 0.

Integration by PartsThe Product Rule states that iff andg are differentiable functions, then d

dx[f(x)g(x)] = f(x)g0(x) +g(x)f0(x)

Letu=f(x) andv =g(x). Then the differentials aredu=f0(x)dx and dv=g0(x)dx, so, by the Substitution Rule, the formula for integration by parts becomes

Z

u dv=uv− Z

v du ⇐⇒

Z

f(x)g0(x)dx=f(x)g(x)− Z

g(x)f0(x)dx

If we combine the formula for integration by parts with the Fundamental Theorem of Calculus, we can evaluate definite integrals by parts.

Z b a

f(x)g0(x)dx=f(x)g(x)|ba− Z b

a

g(x)f0(x)dx

(9)

Examples

(1) Find Z

xsinx dx, Z

(x2+ 3x+ 1) sinx dxand Z

(x2+ 3x+ 1)(cosx+e2x)dx.

In summary, if we want to find Z

Pn(x)

cosax or sinax or eax

dx, where Pn(x) =

n

X

k=0

akxk is a polynomial of degree n, we set









u=Pn(x) dv=



 cosax sinax eax





dx =⇒









du=Pn0(x)dx v = 1a





sinax

−cosax eax



 and apply the integration by parts formulan times.

(2) Use the integration by parts to calculate Z 1

0

tan−1x dx and Z 1

0

xtan−1x dx.

(3) Use the integration by parts to prove the reduction formula Z

sinnx dx=−1

ncosxsinn−1x+n−1 n

Z

sinn−2x dx where n≥2 is an integer.

(4) Find Z

sin2x dx, Z

sin3x dx and Z

sin4x dx.

(5) Let a6= 0, b6= 0. Then Z

eaxcosbx dx Set u=eax, dv = cosbx dx =⇒ du=aeaxdx, v = sinbx b

= eaxsinbx

b −a

b Z

eaxsinbx dx Set u=eax, dv = sinbx dx =⇒ du=aeaxdx, v =−cosbx b

= eaxsinbx

b +aeaxcosbx b2 −a2

b2 Z

eaxcosbx dx Combine coefficients of Z

eaxcosbx dx

= b2 a2+b2

eaxsinbx

b +aeaxcosbx b2

+C

Integration of Rational Functions by Partial Fractions

LetQ(x) be an irreducible polynomial of degree≤2. Then we can find

Z 1

Q(x)dx by a method of substitution as follows.

• Ifa6= 0, then

Z 1

ax+bdx= 1

aln|ax+b|+C.

• Ifa∈R and a6= 0, then

Z 1

x2+a2 dx= 1

atan−1x a

+C.

• Ifa, b∈Rand a2−4b <0, then

Z 1

x2+ax+bdx=

Z 1

(x+a2)2+4b−a4 2 dx= 2

√4b−a2 tan−1

2x+a

√4b−a2

+C.

(10)

For a general rational function f(x) = P(x)

Q(x), we need the following algebraic facts to establish the method of partial fractions.

The Factorization of Polynomials with Real Coefficients

• Proposition Let p(x) = x2 +ax+b be a quadratic polynomial with real coefficients, i.e.

a, b∈R. Then

p(x) = x2+ax+b = (x+a

2)2−a2−4b

4 = (x+a 2−

√a2−4b

2 )(x+a 2+

√a2−4b

2 ) = (x−r1)(x−r2) and

r1, r2 =−a 2±

√a2−4b

2 are

(two real roots (counting multiplicity) ⇐⇒ a2−4b ≥0 two conjugate complex roots ⇐⇒ a2−4b <0 where we let i2 =−1 ⇐⇒ i=√

−1.

• Theorem Let p(x) be a non-constant polynomial with real coefficients. Then p(x) has a unique factorization

p(x) =c(x−r1)(x−r2)· · ·(x−rm)(x2+a1x+b1)(x2+a2x+b2)· · ·(x2+amx+bm) where r1, r2, . . . , rm ∈ R are the real roots of p(x) and c, a1, a2, . . . , an, b1, b2, . . . , bn ∈ R, i.e. a non-constant polynomial with real coefficients can be uniquely factorized into product of irreducible polynomials.

• Let p(x) = an−1xn−1+an−2xn−2+· · ·+a1x+a0 be a polynomial with real coefficients of degreen−1.

For anya∈R, there existck, k= 0, 1,2, . . . , n−1,such that p(x) =

n−1

X

k=0

ck(x−a)k =cn−1(x−a)n−1+cn−2(x−a)n−2+· · ·+c1(x−a) +c0

=⇒ p(x)

(x−a)n = cn−1

(x−a) + cn−2

(x−a)2 +· · ·+ c1

(x−a)n−1 + c0 (x−a)n

=⇒ p(x)

(x−a)n = A1

(x−a) + A2

(x−a)2 +· · ·+ An−1

(x−a)n−1 + An

(x−a)n (∗) where An−k=ck = p(k)(a)

k! = dkp

dxk(a) fork = 0,1, . . . , n−1.

• Letp(x) =a2n−1x2n−1+a2n−2x2n−2 +· · ·+a1x+a0 be a polynomial with real coefficients of degree≤2n−1.

For anya, b∈B satisfying a2−4b <0,there exist ck, dk, k= 0, 1,2, . . . , n−1, such that p(x) =

n−1

X

k=0

(ckx+dk)(x2+ax+b)k = (cn−1x+dn−1)(x2 +ax+b)n−1+· · ·+ (c0x+d0)

=⇒ p(x)

(x2+ax+b)n = cn−1x+dn−1

x2 +ax+b +· · ·+ c1x+d1

(x2+ax+b)n−1 + c0x+d0 (x2+ax+b)n

=⇒ p(x)

(x2+ax+b)n = A1x+B1

x2+ax+b +· · ·+ An−1x+Bn−1

(x2+ax+b)n−1 + Anx+Bn

(x2+ax+b)n (∗∗) where ck = An−k, dk =Bn−k ∈ R for k = 0, 1, . . . , n−1, are uniquely determined by the division or by the method of comparing the coefficients.

(11)

The Method of Partial Fractions Consider a rational function

f(x) = P(x) Q(x),

whereP and Qare polynomials. Its possible to express f as a sum of simpler fractions provided that the degree of P is less than the degree ofQ. Such a rational function is called proper.

If f is improper, that is, deg(P)≥ deg(Q), then we must take the preliminary step of dividing Q intoP (by long division) until a remainder R(x) is obtained such that deg(R)<deg(Q).

The result is

f(x) = P(x)

Q(x) =S(x) + R(x) Q(x),

where the quotient S(x) and the remainder R(x) are also polynomials.

• Case IThe denominator Q(x) is a product of distinct linear factors, i.e.

Q(x) = (a1x+b1)(a2x+b2)· · ·(akx+bk),

where no factor is repeated (and no factor is a constant multiple of another). In this case the partial fraction theorem states that there exist constants A1, A2, . . . , Ak such that

R(x)

Q(x) = A1

a1x+b1 + A2

a2x+b2 +· · ·+ Ak akx+bk

• Case IIQ(x) is a product of linear factors, some of which are repeated.

Suppose that the first linear factor (a1x+b1) is repeatedr times; that is (a1x+b1)r occurs in the factorization ofQ(x). Then instead of

Pr−1 k=0dkxk (a1x+b1)r in the partial fraction equation of R(x)

Q(x),by (∗), we would use A1

a1x+b1 + A2

(a1x+b1)2 +· · ·+ Ar (a1x+b1)r

• Case IIIQ(x) contains irreducible quadratic factors, none of which is repeated.

If Q(x) has the factor ax2 +bx+c, where b2 −4ac < 0, then, in addition to the partial fractions in Equations inCase I and Case II, the expression for R(x)

Q(x) will have a term of the form

Ax+B ax2+bx+c, where A and B are constants to be determined.

• Case IVQ(x) contains a repeated irreducible quadratic factor.

IfQ(x) has the factor(ax2+bx+c)r, where b2−4ac < 0, then instead of P2r−1

k=0 dkxk (a1x+b1)r

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in the partial fraction of R(x)

Q(x), by (∗∗),we would use A1x+B1

ax2+bx+c + A2x+B2

(ax2+bx+c)2 +· · ·+ Arx+Br

(ax2+bx+c)r

Note that each of the terms can be integrated by using a substitution or by first completing the square if necessary.

Examples

(1)

Z x3+x x−1 dx=

Z

x2+x+ 2 + 2 x−1

dx= x3 3 + x2

2 + 2x+ 2ln|x−1|+C.

(2)

Z x2+ 2x−1

2x3+ 3x2−2xdx =

Z x2+ 2x−1

x(2x−1)(x+ 2)dx = Z

A1

x + A2

2x−1 + A3 x+ 2

dx, where x2+x−1 =A1(2x−1)(x+2)+A2x(x+2)+A3x(2x−1).So,A1 = 1/2, A2 = 1/5, A3 =−1/10 by setting x= 0, 1/2, −2, respectively.

(3)

Z x4−2x2+ 4x+ 1 x3−x2−x+ 1 dx=

Z

x+1+ 4x

(x−1)2(x+ 1)dx= Z

x+ 1 + A1

x−1 + A2

(x−1)2 + A3 x+ 1

dx, where 4x = A1(x−1)(x+ 1) +A2(x+ 1) +A3(x−1)2. So, A3 = −1, A2 = 2, A1 = 1 by

settingx=−1,1, 0, respectively.

(4)

Z 4x2−3x+ 2 4x2−4x+ 3dx=

Z

1 + x−1 (2x−1)2 + 2

dx=

Z "

1 +

1

2 2x−1

12 (2x−1)2+ 2

# dx

= Z

1+ 2· 2x−12 4√

2h (2x−1

2 )2 + 1i− 1

4h (2x−1

2 )2+ 1idx=x+

lnh (2x−1

2 )2+ 1i 4√

2 −

√2 tan−1(2x−12 )

8 +C.

(5)

Z 1−x+ 2x2−x3 x(x2+ 1)2 dx=

Z A1 x +

A2x+B2

x2+ 1 +A3x+B3 (x2+ 1)2

dx

=A1ln|x|+A2

2 ln(x2+ 1) +B2tan−1x− A3

2(x2+ 1) +B3

tan−1x

2 + x

2(x2+ 1)

+C,where

−x3+ 2x2−x+ 1 =A1(x2+ 1)2+ (A2x+B2)x(x2+ 1) + (A3x+B3)x= (A1+A2)x4+B2x3+ (2A1+A2+A3)x2+ (B2+B3)x+A1. So, A1 = 1, A2 =−1, B2 =−1, A3 = 1, B3 = 0.

(6) Z √

x+ 4

x dxu2=x+4=

Z 2u2

u2−4du = Z

2 + 8 u2−4

du =

Z

2 + A1

u−2+ A2

u+ 2

du = 2√

x+ 4 +A1ln|√

x+ 4−2|+A2ln|√

x+ 4 + 2|+C, where 8 =A1(u+ 2) +A2(u−2). So, A1 = 2, A2 =−2 by setting u= 2, −2,respectively.

(7) Find

Z dx

sinx+ cosx+ 2dx by setting u= tanx2. Then sinx = 2 sinx2cosx2 = 2u 1 +u2, cosx= (cosx2)2−(sinx2)2 = 1−u2

1 +u2, dx= 2du 1 +u2 and

Z dx

sinx+ cosx+ 2dx=

Z 2du (u+ 1)2+ 2. (8) Find

Z 1

x1/2+x1/3dx by setting x=u6, where 6 is the least common multiple of 2 and 3.

Then

Z 1

x1/2 +x1/3dx=

Z 6u5du u3+u2 =

Z 6u3du u+ 1 = 6

Z

u2−u+ 1− 1

u+ 1du= 2u3−3u2+ 6u−6ln|u+ 1|+C = 2x1/2−3x1/3+ 6x1/6−ln|x1/6+ 1|+C.

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(9) Find

Z 1

1 +exdx =

Z e−x/2dx

e−x/2+ex/2 by setting u=e−x/2. Then du = −12e−x/2dx =⇒ e−x/2dx=−2du and

Z 1

1 +exdx =

Z e−x/2dx e−x/2+ex/2 =

Z −2du u+u1 =−

Z 2udu

u2+ 1 = −ln(u2+ 1) +C =−ln(e−x+ 1) +C.

Integrals of nonnegative Powers of Trigonometric Functions Examples

(1) Find Z

sin5xcos2x dx.

(2) Evaluate Z π

0

sin2x dx.

(3) Find Z

sinmxcosnx dx if eitherm orn is odd.

(4) Find Z

sinmxcosnx dx if bothm and n are even.

(5) Find Z

tanx dx, Z

tan2x dx and the reduction formula for Z

tannx dx for n∈N. (6) Find

Z

tan3x dx.

(7) Find Z

secx dx, Z

sec2x dx and the reduction formula for Z

secnx dxfor n ∈N. (8) Find

Z

tanmxsecnx dx= Z

tanmx(1 + tan2x)k−1dtanx if n = 2k, k≥1.

(9) Find Z

tanmxsecnx dx = Z

(sec2x−1)ksecn−1x dsecx if m = 2k+ 1 and n = 2` + 1, k, `≥0.

Integrals of the form Z

sinmxcosnx dx, Z

sinmxsinnx dx, or Z

cosmxcosnx dx Recall the identities:

sinAcosB = 1 2

sin(A−B)+sin(A+B) , 1

2

cos(A−B)±cos(A+B)

=

(cosAcosB when + sinAsinB when − ExampleFind

Z

sin 4xcos 5x dx.

Trigonometric Substitution for integrals of functions of√

a2−x2,√

x2−a2,or√

x2+a2. Examples

(1) Find Z √

9−x2 x2 dx.

(2) Find

Z 1 x2

x2+ 4dx.

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(3) Find

Z dx

√x2−a2, where a >0.

(4) Evaluate Z 3

3/2 0

x3

(4x2+ 9)3/2dx.

Area Between Curves Consider the region S shown in Figure below that lies between two curvesy=f(x) andy =g(x) and between the vertical lines x=aand x=b, where f andg are continuous functions and f(x)≥g(x) for all xin [a, b].

We divide S into n strips of equal width and then we approximate the ith strip by a rectangle with base ∆x and height f(xi)−g(xi). (See Figure above. If we like, we could take all of the sample points to be right endpoints, in which case xi =xi.)

The Riemann sum

n

X

i=1

f(xi)−g(xi)

∆x

is therefore an approximation to what we intuitively think of as the area of S.

This approximation appears to become better and better asn→ ∞.Therefore we define the area Aof the regionS as the limiting value of the sum of the areas of these approximating rectangles.

A= Z b

a

f(x)−g(x)

dx= lim

n→∞

n

X

i=1

f(xi)−g(xi)

∆x

Furthermore, ifS is a region bounded between the continuous curvesy =f(x) andy=g(x) and between x=a and x=b, then the area A of S is

A= Z b

a

|f(x)−g(x)|dx

Examples

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(1) Find the area of the region bounded above byy=ex,bounded below byy=x,and bounded on the sides by x= 0 andx= 1.

(2) Find the area of the region bounded by the curves y= sinx, y = cosx, x= 0, and x= π 2. (3) Find the area enclosed by the ellipse x2

a2 +y2 b2 = 1.

(4) If a region is bounded by curves with equations x=f(y), x=g(y), y =c,andy =d,where f and g are continuous and f(y)≥g(y) forc≤y≤d, then its area is

A= Z d

c

f(y)−g(y) dy.

Find the area enclosed by the line y=x−1 and the parabola y2 = 2x+ 6.

Volumes

Recall that if the base is a disk with radiusr,then the cylinder is a circular cylinder with volume V = πr2h, and if the base is a rectangle with length l and width w, then the cylinder is a rectangular box (also called a rectangular parallelepiped) with volumeV =lwh.

For a solid S that isnt a cylinder we first cut S into pieces and approximate each piece by a cylinder. We estimate the volume ofS by adding the volumes of the cylinders. We arrive at the exact volume of S through a limiting process in which the number of pieces becomes large.

We start by intersectingSwith a plane and obtaining a plane region that is called a cross-section of S.

Let A(x) be the area of the cross-section of S in a plane Px perpendicular to the x-axis and passing through the point x, where a ≤ x ≤ b. (Think of slicing S with a knife through x and computing the area of this slice.) The cross-sectional area A(x) will vary as x increases from a tob.

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Definition of VolumeLetS be a solid that lies betweenx=aandx=b.If the cross-sectional area of S in the plane Px, through x and perpendicular to the x-axis, is A(x), where A is a continuous function, then the volume of S is

V = Z b

a

A(x)dx= lim

n→∞

n

X

i=1

A(xi) ∆x

ExampleShow that the volume of a sphere of radius r is V = 4 3πr3.

Remark If we revolve a region about a line, we obtain a solid of revolution. In general, we calculate the volume of a solid of revolution by using the basic defining formula

V = Z b

a

A(x)dx or Z d

c

A(y)dy

and we find the cross-sectional area A(x) or A(y) in one of the following ways:

• If the cross-section is adisk, we find the radius of the disk (in terms of x ory) and use A =π(radius)2.

• If the cross-section is a washer, we find the inner radius rin and outer radius rout from a sketch and compute the area of the washer by subtracting the area of the inner disk from the area of the outer disk:

A=π(outer radius)2−π(inner radius)2.

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Examples

(1) Figure below shows a solid with a circular base of radius 1. Parallel cross-sections perpen- dicular to the base are equilateral triangles. Find the volume of the solid.

[Hint: Let’s take the circle to bex2+y2 = 1.The solid, its base, and a typical cross-section at a distance x from the origin are shown below. Then |AB| = 2y = 2√

1−x2 and the cross-sectional area is A(x) = 1

2·2√

1−x2·√ 3√

1−x2 for −1≤x≤1.]

(2) Find the volume of the solid obtained by rotating the region about the line x=−1.

[Hint: It is a washer with inner radius 1 +y, outer radius 1 +√

y and the cross-sectional area isA(y) =π[(1 +√

y)2−(1 +y)2] for 0≤y≤1.]

The Method of Cylindrical Shells

Consider the problem of finding the volume of the solid obtained by rotating about the y-axis the region bounded by y= 2x2−x3 and y= 0.

If we slice perpendicular to the y-axis, we get a washer. But to compute the inner radius and the outer radius of the washer, we would have y= 2x2−x3 for x in terms ofy; that’s not easy.

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Fortunately, there is a method, called the method of cylindrical shells, that is easier to use in such a case. Figure above shows a cylindrical shell with inner radius r1, outer radius r2, and height h.Its volume V is calculated by subtracting the volumeV1 of the inner cylinder from the volumeV2 of the outer cylinder, i.e.

V =πr22h−πr12h=π(r2+r1)(r2−r1)h= 2πr2+r1

2 h(r2−r1).

LetS be the solid obtained by rotating about they-axis the region bounded byy=f(x) [where f(x)≥0],y = 0, x=a, and x=b, where b > a≥0.

We divide the interval [a, b] into n subintervals [xi−1, xi] of equal width ∆x and let ¯xi be the midpoint of the ith subinterval. If the rectangle with base [xi−1, xi] and height f( ¯xi) is rotated about the y-axis, then the result is a cylindrical shell with average radius ¯xi, height f( ¯xi) and thickness ∆x, so its volume is

Vi = 2πx¯i f( ¯xi)

∆x

The volume of the solid in figure above, obtained by rotating about they-axis the region under the curve y=f(x) from a to b, is

V = Z b

a

2π x

| {z }

circumference

f(x)

| {z }

height

dx

thickness|{z}

= lim

n→∞

n

X

i=1

2πx¯if( ¯xi)∆x.

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Examples

(1) Find the volume of the solid obtained by rotating about the y-axis the region bounded by y= 2x2−x3 and y= 0.

(2) LetR be the region in the first quadrant bounded by the curvesy=x2 and y= 2x. A solid is formed by rotating the region about the linex=−1.Find the volume of the solid using (a)x as the variable of integration and (b)y as the variable of integration.

Improper Integrals Definition The integral

Z b a

f(x)dx is called animproper integral if

• either the interval is infinite, i.e. |b−a|=∞,

• or f has an infinite discontinuity in [a, b], i.e. there exists a c ∈ [a, b] such that either

| lim

x→cf(x)|=∞ or| lim

x→c+f(x)|=∞.

For the case if the interval has infinite length and

• if a∈R and Rt

af(x)dx exists for every number t≥a, then Z

a

f(x)dx= lim

t→∞

Z t

a

f(x)dx provided this limit exists (as a finite number).

• if b∈R and Rb

t f(x)dx exists for every number t≤b, then Z b

−∞

f(x)dx= lim

t→−∞

Z b

t

f(x)dx provided this limit exists (as a finite number).

The improper integrals Z

a

f(x)dx and Z b

−∞

f(x)dx are called convergent if the corre- sponding limit exists and divergentif the limit does not exist.

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• if both Z

a

f(x)dx and Z a

−∞

f(x)dx are convergent for any a ∈R, then Z

−∞

f(x)dx= Z a

−∞

f(x)dx+ Z

a

f(x)dx.

For the case if f has an infinite discontinuity in [a, b] and

• if f is continuous on [a, b) and lim

x→b|f(x)|=∞,then Z b

a

f(x)dx= lim

t→b

Z t

a

f(x)dx provided this limit exists (as a finite number).

• if f is continuous on (a, b] and lim

x→a+|f(x)|=∞, then Z b

a

f(x)dx= lim

t→a+

Z b

t

f(x)dx provided this limit exists (as a finite number).

The improper integral Z b

a

f(x)dx is called convergentif the corresponding limit exists and divergentif the limit does not exist.

• if f has a discontinuity at c, where a < c < b, and both Z c

a

f(x)dx and Z b

c

f(x)dx are convergent then

Z b a

f(x)dx= Z c

a

f(x)dx+ Z b

c

f(x)dx

Examples

(1) Z

1

1

xp dx= lim

t→∞

Z t 1

1

xp dx= lim

t→∞



 x1−p 1−p

t

1

if p6= 1 lnx|t1 if p= 1

=

 1

p−1 if p > 1

∞ if p≤1

(2) Z 1

0

1

xp dx= lim

t→0+

Z 1 t

1

xp dx= lim

t→0+



 x1−p 1−p

1

t

if p6= 1 lnx|1t if p= 1

=

 1

1−p if p < 1

∞ if p≥1 (3)

Z 5 2

√ 1

x−2dx= lim

t→2+

Z 5 t

√ 1

x−2dxu=x−2=

s=t−2 lim

s→0+

Z 3 s

√1

udu= lim

s→0+2√

u|3s = 2√ 3.

Comparison Theorem Suppose that f and g are continuous functions with f(x)≥ g(x) ≥0 for x≥a.

(a) If Z

a

f(x)dx is convergent, then Z

a

g(x)dx is convergent.

(b) If Z

a

g(x)dx is divergent, then Z

a

f(x)dx is divergent.

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Remarks

(a) Limit Comparison Test (Type I)Suppose thatf andgare continuous, positive functions for all values of x,and

x→∞lim f(x)

g(x) =`≥0 .

• If 0< ` <∞, then Z

a

f(x)dx converges if and only if and Z

a

g(x)dx converges.

• If` = 0 and Z

a

g(x)dx converges, then Z

a

f(x)dx converges.

• If` =∞ and Z

a

f(x)dx converges, then Z

a

g(x)dx converges.

(b) Limit Comparison Test (Type II) Suppose that f and g are continuous, positive func- tions for all values of x,and

lim

x→a+

f(x)

g(x) =` ≥0 .

• If 0< ` <∞, then Z b

a

f(x)dx converges if and only if and Z b

a

g(x)dx converges.

• If` = 0 and Z b

a

g(x)dx converges, then Z b

a

f(x)dx converges.

• If` =∞ and Z b

a

f(x)dx converges, then Z b

a

g(x)dx converges.

Examples

(1) By the Comparison Theorem, Z

0

e−x2dx converges since e−x ≥ e−x2 > 0 for x ≥ 1 and Z

1

e−xdx=e−1 <∞ converges.

(2) By the Comparison Theorem, Z

1

1−e−x

x dx diverges since 1−e−x

x ≥ 3/4

x for x ≥2 and Z

2

3/4

x dx=∞diverges.

(3) By the Limit Comparison Test, Z

1

x x2+√

x+ 1dx diverges since lim

x→∞

x x2+

x+1 1 x

= 1 and Z

1

1

xdx=∞ diverges.

(4) Since Z 2

1

x2+x+ 1 (x2−1)1/3 dx=

Z 2 1

(x2−1) + 12(2x) + 2 (x2−1)1/3 dx =

Z 2 1

(x2−1)2/3dx +

u=x2−1

Z 3 0

1/2 u1/3 du+

Z 2 1

2

(x−1)1/3(x+ 1)1/3 dx = Z 2

1

(x2 − 1)2/3dx + Z 3

0

1/2

u1/3 du +

w=x−1

Z 1 0

2

w1/3(w+ 2)1/3 dw, lim

w→0+

2/w1/3(w+ 2)1/3

1/w1/3 = 2 and R1 0

1

w1/3 dw = 3

2 converges, Z 2

1

x2+x+ 1

(x2−1)1/3 dx converges by the Limit Comparison Test.

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(5) Since Z

1

5−2 sin(x)

x3/2 dx= 5 Z

1

1

x3/2 dx−2 Z

1

sin(x)

x5/4x1/4 dx, lim

x→∞

sinx/x3/2

1/x5/4 = lim

x→∞

sinx x1/4 = 0 and both

Z 1

1

x3/2 dx and Z

1

1

x5/4 dx converge, Z

1

5−2 sin(x)

x3/2 dx converges by the Limit Comparison Test.

(6) Since Z π/2

0

sin(x) x3/2 dx=

Z π/2 0

sin(x)

xx1/2 dx, lim

x→0+

sinx/x3/2

1/x1/2 = lim

x→0+

sinx

x = 1 and Z π/2

0

1 x1/2 dx converges,

Z π/2 0

sin(x)

x3/2 dx converges by the Limit Comparison Test.

Gambar

Table of Indefinite Integrals Z
(1) Figure below shows a solid with a circular base of radius 1. Parallel cross-sections perpen- perpen-dicular to the base are equilateral triangles

Referensi

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