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Chapter 7: Techniques of Integration
Section 7.8: Improper Integrals
Alea Wittig
SUNY Albany
Outline
Type I: Infinite Intervals
Type II: Discontinuous Integrands
A Comparison Test for Integrals
Improper Integral
▶ When defining the definite integral
Z b
a
f (x)dx
we assume function f (x) defined on a a finite interval [a, b]
has no infinite discontinuity in the interval.
▶ In this section we extend the concept of a definite integral to
I. the case where the interval is infinite.
eg
Z ∞
a
f (x)dx,
Z b
−∞
f (x)dx,
Z ∞
−∞
f (x)dx
II. the case where f has an infinite discontinuity in [a, b].
eg
Z 1
−1
1
x
dx,
Z 1
0
ln xdx,
Z π/2
0
tan xdx
▶ In either case, the integral is called an improper integral.
Type I: Infinite Intervals
Example 1
▶ Consider the unbounded region S that lies under the curve
y =
1
x2
, above the x-axis, and to the right of x = 1.
▶ The area of the part of S to the left of t (where t ≥ 1) is
A(t) =
Z t
1
1
x2
dx = −
1
x
t
1
= 1 −
1
t
Example 1
▶ As t increases, A(t) appears to approach 1.
t 1 2 3 4 5 6 . . .
A(t) 0
1
2
2
3
3
4
4
5
5
6
. . .
▶ Taking the limit as t → ∞ we have
lim
t→∞
1 −
1
t
= lim
t→∞
1 − lim
t→∞
1
t
= 1 − 0
= 1
▶ So we say that the area of the infinite region S is 1
Z ∞
1
1
x2
dx = lim
t→∞
Z t
1
1
x2
dx = 1
Type I: Infinite Intervals Definition
(a) If
Z t
a
f (x)dx exists for every number t ≥ a, then
Z ∞
a
f (x)dx = lim
t→∞
Z t
a
f (x)dx
provided that this limit exists (as a finite number).
(b) If
Z b
t
f (x)dx exists for every number t ≤ b, then
Z b
−∞
f (x)dx = lim
t→−∞
Z b
t
f (t)dt
provided this limit exists (as a finite number).
Type I: Infinite Intervals Definition
The improper integrals
Z ∞
a
f (x)dx and
Z b
−∞
f (x)dx
are called convergent if the corresponding limit exists and
divergent if the corresponding limit does not exist.
(c) If both
Z ∞
a
f (x)dx and
Z a
−∞
f (x)dx are convergent then we
define
Z ∞
−∞
f (x)dx =
Z a
−∞
f (x)dx +
Z ∞
a
f (x)dx
for any real number a.
Example 2
1/5
Determine whether the integral
Z ∞
1
1
x
dx
is convergent or divergent. How does this compare to example 1?
Example 2
2/5
▶ Step 1 is to compute the definite integral
Z t
1
1
x
dx where t is
a real number greater than 1.
Z t
1
1
x
dx = ln |x|
t
1
= ln |t| − ln 1
= ln t (since t ≥ 1, |t| = t)
▶ Step 2 is to take the limit of the integral we computed:
lim
t→∞
Z t
1
1
x
dx = lim
t→∞
ln t
Example 2
3/5
▶ Intuitively, by looking at the graph of ln x, we probably know
lim
t→∞
ln t = ∞
▶ lim
x→∞
f (x) = ∞ means that for any M > 0, there is a real
value d such that f (x) > M for all x > d.
▶ M should be thought of as a really large real number . . .
maybe something like 1010101010
.
▶ No matter how large M is, we can always find a value d such
that for all x > d, f (x) is even greater than M.
▶ To prove that lim
t→∞
ln t = ∞, let M be any positive number.
ln t > M for all t > eM
, so just take d = eM
✓
Example 2
4/5
▶ So since Z ∞
1
1
x
dx = lim
t→∞
ln t = ∞
the integral is divergent.
▶ Compare this to the integral
Z ∞
1
1
x2
dx from example 1, which
we found to be convergent.
▶ What do you think accounts for the fact that one of these
integrals converges while the other does not?
Example 2
5/5
▶ Notice that 1
x2 decreases more rapidly than 1
x .
x 1 2 3 4 5 6 . . .
1
x
1
1
2
1
3
1
4
1
5
1
6
. . .
1
x2
1
1
4
1
9
1
16
1
25
1
49
. . .
▶ So the area of the region under 1
x2 is smaller than the area of
the region under 1
x .
▶ In a minute we will find the values of p for which the integral
Z ∞
1
1
xp
dx converges and diverges.
▶ Do you have any guesses?
Example 3
1/6
Z 0
−∞
xex
dx
▶ Step 1: Compute the integral
Z 0
t
xex
dx:
▶ This looks like an integration by parts problem:
Z
udv = uv −
Z
vdu
u = x dv = ex
dx
du = dx v = ex
Z 0
t
xex
dx = xex
0
t
−
Z 0
t
ex
dx
= (0e0
− tet
) − ex
0
t
= −tet
− (e0
− et
)
= −tet
− 1 + et
Example 3
2/6
▶ Step 2: Take the limit of the integral we computed:
lim
t→−∞
Z 0
t
xex
dx = lim
t→−∞
(−tet
− 1 + et
)
= − lim
t→−∞
tet
| {z }
(a)
− lim
t→−∞
1
| {z }
(b)
+ lim
t→−∞
et
| {z }
(c)
▶ Let’s start with (b) since it’s the easiest:
(b) Since 1 is a constant, ie, not dependent on t,
lim
t→−∞
1 = 1
Example 3
3/6
(c) We have lim
t→−∞
et
= lim
t→−∞
1
e|t|
= lim
t→∞
1
et
▶ Intuitively or by looking at the graph of 1
et we probably know
lim
t→∞
1
et
= 0
▶ lim
x→∞
f (x) = L where L is a finite real number if for any value
ϵ > 0, there is a value d such that |f (x)−L| < ϵ for all x > d.
▶ ϵ should be though of as a very small positive number. . .
maybe something like .00000000000001
▶ No matter how small ϵ is, we can always find a value d such
that for all x > d, f (x) is within a distance ϵ of L.
▶ To prove lim
t→∞
1
et
= 0:
1
et
− 0
=
1
et
< ϵ for all t > ln
1
ϵ

so take d = ln
1
ϵ

✓
Example 3
4/6
(a) lim
t→−∞
tet
is the limit of the product of t and et where
lim
t→−∞
t = −∞ and lim
t→−∞
et
= 0 from part (c).
▶ So we have an indeterminate form 0 · ∞.
▶ Use L’Hospitals Rule!
▶ L’Hospitals Rule: Suppose we have one of the following:
1. lim
x→a
f (x)
g(x)
=
0
0
2. lim
x→a
f (x)
g(x)
=
±∞
±∞
where a can be any real number, infinity, or negative infinity.
lim
x→a
f (x)
g(x)
= lim
x→a
f ′(x)
g′(x)
Example 3
5/6
▶ Now we have 0 · ∞ form, not 0
0 or ±∞
±∞ but we can easily
rewrite as follows:
lim
t→−∞
tet
= lim
t→−∞
t
1
et
=
−∞
∞
or alternatively, lim
t→−∞
tet
= lim
t→−∞
et
1
t
=
0
0
▶ Applying L.H to the first form we have
lim
t→−∞
t
1
et
= lim
t→−∞
1
− 1
e−t
= − lim
t→−∞
et
= − lim
t→∞
1
et
= 0
▶ Putting everything together we have
Z 0
−∞
xex
dx = −1
so the integral is convergent.
Example 4
1/2
Z ∞
−∞
1
1 + x2
dx
▶ Using the definition we start by determining if
Z a
−∞
1
1 + x2
dx
and
Z ∞
a
1
1 + x2
dx are both convergent for any real number a.
▶ Choose a = 0 for simplicity.
▶ The curve f (x) = 1
1+x2 is symmetric about the y-axis so
Z 0
−∞
1
1 + x2
dx =
Z ∞
0
1
1 + x2
dx
Example 4
2/2
▶ Step 1: For t ≤ 0 we compute
Z 0
t
1
1 + x2
dx = tan−1
x
0
t
= tan−1
0 − tan−1
t
= − tan−1
t (where t ≤ 0)
▶ Step 2: lim
t→−∞
Z 0
t
1
1 + x2
dx = − lim
t→−∞
tan−1
t =
π
2
▶ This limit can be computed by using the definition of the
inverse tangent function, or by looking at the graph.
▶ Now we have
Z 0
−∞
1
1 + x2
dx =
Z ∞
0
1
1 + x2
dx =
π
2
=⇒
Z ∞
−∞
1
1 + x2
dx =
Z 0
−∞
1
1 + x2
dx +
Z ∞
0
1
1 + x2
dx = 2 ·
π
2
= π
Example 5
1/4
For what values of p is the integral
Z ∞
1
1
xp
convergent?
▶ We already determined that the integral diverges for p = 1.
▶ We will break the problem up into the remaining cases:
1. Case where p  1
2. Case where p  1
Example 5
2/4
Let p ̸= 1.
▶ Step 1: Compute the integral
Z t
1
1
xp
dx:
Z t
1
1
xp
dx =
Z t
1
x−p
dx
=
x1−p
1 − p
t
1
=
t1−p
1 − p
−
1
1 − p
=
1
1 − p

t1−p
− 1

▶ Step 2: Take the limit
lim
t→∞
1
1 − p

t1−p
− 1

=
1
1 − p
lim
t→∞

t1−p
− 1
Example 5
3/4
1. p  1
p  1 =⇒ −p  −1 =⇒ 1 − p  0 =⇒
1
1 − p
lim
t→∞
(t1−p
− 1) =
1
1 − p
lim
t→∞
 1
t|1−p|
− 1

=
1
1 − p

0 − 1

=
1
p − 1
So
Z ∞
1
1
xp
dx converges to 1
p−1 for all p  1.
Example 5
4/4
2. p  1
p  1 =⇒ −p  −1 =⇒ 1 − p  0 =⇒
1
1 − p
lim
t→∞

t1−p
− 1

=
1
1 − p
lim
t→∞

t|1−p|
− 1

= ∞
So
Z ∞
1
1
xp
dx is divergent for all p  1.
General Rule for
Z ∞
1
1
xp
dx
Z ∞
1
1
xp
dx is convergent if p  1 and divergent if p ≤ 1
Remark:
▶ After examples 1 and 2 we may have had an intuition that
▶
Z ∞
1
1
xp
dx is divergent for any p  1 since
1
xp

1
x
for p  1
and x ≥ 1.
▶
Z ∞
1
1
xp
dx is convergent for any p  2 since 0 
1
xp

1
x2
for
p  2 and x ≥ 1.
▶ We will see that that intuition in general is correct through the
comparison test for integrals in just a bit.
Type II: Discontinuous Integrands

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Section 7.8

  • 1. Chapter 7: Techniques of Integration Section 7.8: Improper Integrals Alea Wittig SUNY Albany
  • 2. Outline Type I: Infinite Intervals Type II: Discontinuous Integrands A Comparison Test for Integrals
  • 3. Improper Integral ▶ When defining the definite integral Z b a f (x)dx we assume function f (x) defined on a a finite interval [a, b] has no infinite discontinuity in the interval. ▶ In this section we extend the concept of a definite integral to I. the case where the interval is infinite. eg Z ∞ a f (x)dx, Z b −∞ f (x)dx, Z ∞ −∞ f (x)dx II. the case where f has an infinite discontinuity in [a, b]. eg Z 1 −1 1 x dx, Z 1 0 ln xdx, Z π/2 0 tan xdx ▶ In either case, the integral is called an improper integral.
  • 4. Type I: Infinite Intervals
  • 5. Example 1 ▶ Consider the unbounded region S that lies under the curve y = 1 x2 , above the x-axis, and to the right of x = 1. ▶ The area of the part of S to the left of t (where t ≥ 1) is A(t) = Z t 1 1 x2 dx = − 1 x
  • 6.
  • 7.
  • 9. Example 1 ▶ As t increases, A(t) appears to approach 1. t 1 2 3 4 5 6 . . . A(t) 0 1 2 2 3 3 4 4 5 5 6 . . . ▶ Taking the limit as t → ∞ we have lim t→∞ 1 − 1 t = lim t→∞ 1 − lim t→∞ 1 t = 1 − 0 = 1 ▶ So we say that the area of the infinite region S is 1 Z ∞ 1 1 x2 dx = lim t→∞ Z t 1 1 x2 dx = 1
  • 10. Type I: Infinite Intervals Definition (a) If Z t a f (x)dx exists for every number t ≥ a, then Z ∞ a f (x)dx = lim t→∞ Z t a f (x)dx provided that this limit exists (as a finite number). (b) If Z b t f (x)dx exists for every number t ≤ b, then Z b −∞ f (x)dx = lim t→−∞ Z b t f (t)dt provided this limit exists (as a finite number).
  • 11. Type I: Infinite Intervals Definition The improper integrals Z ∞ a f (x)dx and Z b −∞ f (x)dx are called convergent if the corresponding limit exists and divergent if the corresponding limit does not exist. (c) If both Z ∞ a f (x)dx and Z a −∞ f (x)dx are convergent then we define Z ∞ −∞ f (x)dx = Z a −∞ f (x)dx + Z ∞ a f (x)dx for any real number a.
  • 12. Example 2 1/5 Determine whether the integral Z ∞ 1 1 x dx is convergent or divergent. How does this compare to example 1?
  • 13. Example 2 2/5 ▶ Step 1 is to compute the definite integral Z t 1 1 x dx where t is a real number greater than 1. Z t 1 1 x dx = ln |x|
  • 14.
  • 15.
  • 16. t 1 = ln |t| − ln 1 = ln t (since t ≥ 1, |t| = t) ▶ Step 2 is to take the limit of the integral we computed: lim t→∞ Z t 1 1 x dx = lim t→∞ ln t
  • 17. Example 2 3/5 ▶ Intuitively, by looking at the graph of ln x, we probably know lim t→∞ ln t = ∞ ▶ lim x→∞ f (x) = ∞ means that for any M > 0, there is a real value d such that f (x) > M for all x > d. ▶ M should be thought of as a really large real number . . . maybe something like 1010101010 . ▶ No matter how large M is, we can always find a value d such that for all x > d, f (x) is even greater than M. ▶ To prove that lim t→∞ ln t = ∞, let M be any positive number. ln t > M for all t > eM , so just take d = eM ✓
  • 18. Example 2 4/5 ▶ So since Z ∞ 1 1 x dx = lim t→∞ ln t = ∞ the integral is divergent. ▶ Compare this to the integral Z ∞ 1 1 x2 dx from example 1, which we found to be convergent. ▶ What do you think accounts for the fact that one of these integrals converges while the other does not?
  • 19. Example 2 5/5 ▶ Notice that 1 x2 decreases more rapidly than 1 x . x 1 2 3 4 5 6 . . . 1 x 1 1 2 1 3 1 4 1 5 1 6 . . . 1 x2 1 1 4 1 9 1 16 1 25 1 49 . . . ▶ So the area of the region under 1 x2 is smaller than the area of the region under 1 x . ▶ In a minute we will find the values of p for which the integral Z ∞ 1 1 xp dx converges and diverges. ▶ Do you have any guesses?
  • 20. Example 3 1/6 Z 0 −∞ xex dx ▶ Step 1: Compute the integral Z 0 t xex dx: ▶ This looks like an integration by parts problem: Z udv = uv − Z vdu u = x dv = ex dx du = dx v = ex Z 0 t xex dx = xex
  • 21.
  • 22.
  • 24.
  • 25. 0 t = −tet − (e0 − et ) = −tet − 1 + et
  • 26. Example 3 2/6 ▶ Step 2: Take the limit of the integral we computed: lim t→−∞ Z 0 t xex dx = lim t→−∞ (−tet − 1 + et ) = − lim t→−∞ tet | {z } (a) − lim t→−∞ 1 | {z } (b) + lim t→−∞ et | {z } (c) ▶ Let’s start with (b) since it’s the easiest: (b) Since 1 is a constant, ie, not dependent on t, lim t→−∞ 1 = 1
  • 27. Example 3 3/6 (c) We have lim t→−∞ et = lim t→−∞ 1 e|t| = lim t→∞ 1 et ▶ Intuitively or by looking at the graph of 1 et we probably know lim t→∞ 1 et = 0 ▶ lim x→∞ f (x) = L where L is a finite real number if for any value ϵ > 0, there is a value d such that |f (x)−L| < ϵ for all x > d. ▶ ϵ should be though of as a very small positive number. . . maybe something like .00000000000001 ▶ No matter how small ϵ is, we can always find a value d such that for all x > d, f (x) is within a distance ϵ of L. ▶ To prove lim t→∞ 1 et = 0:
  • 28.
  • 29.
  • 31.
  • 32.
  • 33. = 1 et < ϵ for all t > ln 1 ϵ so take d = ln 1 ϵ ✓
  • 34. Example 3 4/6 (a) lim t→−∞ tet is the limit of the product of t and et where lim t→−∞ t = −∞ and lim t→−∞ et = 0 from part (c). ▶ So we have an indeterminate form 0 · ∞. ▶ Use L’Hospitals Rule! ▶ L’Hospitals Rule: Suppose we have one of the following: 1. lim x→a f (x) g(x) = 0 0 2. lim x→a f (x) g(x) = ±∞ ±∞ where a can be any real number, infinity, or negative infinity. lim x→a f (x) g(x) = lim x→a f ′(x) g′(x)
  • 35. Example 3 5/6 ▶ Now we have 0 · ∞ form, not 0 0 or ±∞ ±∞ but we can easily rewrite as follows: lim t→−∞ tet = lim t→−∞ t 1 et = −∞ ∞ or alternatively, lim t→−∞ tet = lim t→−∞ et 1 t = 0 0 ▶ Applying L.H to the first form we have lim t→−∞ t 1 et = lim t→−∞ 1 − 1 e−t = − lim t→−∞ et = − lim t→∞ 1 et = 0 ▶ Putting everything together we have Z 0 −∞ xex dx = −1 so the integral is convergent.
  • 36. Example 4 1/2 Z ∞ −∞ 1 1 + x2 dx ▶ Using the definition we start by determining if Z a −∞ 1 1 + x2 dx and Z ∞ a 1 1 + x2 dx are both convergent for any real number a. ▶ Choose a = 0 for simplicity. ▶ The curve f (x) = 1 1+x2 is symmetric about the y-axis so Z 0 −∞ 1 1 + x2 dx = Z ∞ 0 1 1 + x2 dx
  • 37. Example 4 2/2 ▶ Step 1: For t ≤ 0 we compute Z 0 t 1 1 + x2 dx = tan−1 x
  • 38.
  • 39.
  • 40. 0 t = tan−1 0 − tan−1 t = − tan−1 t (where t ≤ 0) ▶ Step 2: lim t→−∞ Z 0 t 1 1 + x2 dx = − lim t→−∞ tan−1 t = π 2 ▶ This limit can be computed by using the definition of the inverse tangent function, or by looking at the graph. ▶ Now we have Z 0 −∞ 1 1 + x2 dx = Z ∞ 0 1 1 + x2 dx = π 2 =⇒ Z ∞ −∞ 1 1 + x2 dx = Z 0 −∞ 1 1 + x2 dx + Z ∞ 0 1 1 + x2 dx = 2 · π 2 = π
  • 41. Example 5 1/4 For what values of p is the integral Z ∞ 1 1 xp convergent? ▶ We already determined that the integral diverges for p = 1. ▶ We will break the problem up into the remaining cases: 1. Case where p 1 2. Case where p 1
  • 42. Example 5 2/4 Let p ̸= 1. ▶ Step 1: Compute the integral Z t 1 1 xp dx: Z t 1 1 xp dx = Z t 1 x−p dx = x1−p 1 − p
  • 43.
  • 44.
  • 45. t 1 = t1−p 1 − p − 1 1 − p = 1 1 − p t1−p − 1 ▶ Step 2: Take the limit lim t→∞ 1 1 − p t1−p − 1 = 1 1 − p lim t→∞ t1−p − 1
  • 46. Example 5 3/4 1. p 1 p 1 =⇒ −p −1 =⇒ 1 − p 0 =⇒ 1 1 − p lim t→∞ (t1−p − 1) = 1 1 − p lim t→∞ 1 t|1−p| − 1 = 1 1 − p 0 − 1 = 1 p − 1 So Z ∞ 1 1 xp dx converges to 1 p−1 for all p 1.
  • 47. Example 5 4/4 2. p 1 p 1 =⇒ −p −1 =⇒ 1 − p 0 =⇒ 1 1 − p lim t→∞ t1−p − 1 = 1 1 − p lim t→∞ t|1−p| − 1 = ∞ So Z ∞ 1 1 xp dx is divergent for all p 1.
  • 48. General Rule for Z ∞ 1 1 xp dx Z ∞ 1 1 xp dx is convergent if p 1 and divergent if p ≤ 1 Remark: ▶ After examples 1 and 2 we may have had an intuition that ▶ Z ∞ 1 1 xp dx is divergent for any p 1 since 1 xp 1 x for p 1 and x ≥ 1. ▶ Z ∞ 1 1 xp dx is convergent for any p 2 since 0 1 xp 1 x2 for p 2 and x ≥ 1. ▶ We will see that that intuition in general is correct through the comparison test for integrals in just a bit.
  • 50. Type II: Discontinuous Integrands ▶ Suppose f is a positive continuous function defined on a finite interval [a, b), but f (x) has a vertical asymptote at x = b. ▶ Let S be the unbounded region under the graph of f and above the x-axis between a and b. ▶ The area of the part of S between a and t where a t b is A(t) = Z t a f (x)dx
  • 51. Type II: Discontinuous Integrands Definition (a) If f is continuous on [a, b) and is discontinuous at b, then Z b a f (x)dx = lim t→b− Z t a f (x)dx provided that this limit exists (as a finite number). (b) If f is continuous on (a, b] and is discontinuous at a, then Z b a f (x)dx = lim t→a+ Z b t f (x)dx provided this limit exists (as a finite number).
  • 52. Type II: Discontinuous Integrands Definition The improper integral Z b a f (x)dx is called convergent if the corresponding limit exists and divergent if the corresponding limit does not exist. (c) If f has a discontinuity at c, where a c b, and both R c a f (x)dx and R b c f (x)dx are convergent, then we define Z b a f (x)dx = Z c a f (x)dx + Z b c f (x)dx
  • 53. Example 6 1/2 Z 5 2 1 √ x − 2 dx ▶ f (x) = 1 √ x − 2 has an infinite discontinuity at x = 2 which is an endpoint of the interval [2, 5]. ▶ Step 1: Compute Z 5 t 1 √ x − 2 dx where 2 t 5 Z 5 t 1 √ x − 2 dx = Z t−2 3 1 √ u du u = x − 2, du = dx = Z t−2 3 u−1 2 du = u 1 2 1 2
  • 54.
  • 55.
  • 56. 3 t−2 = 2 √ 3 − 2 √ t − 2
  • 57. Example 6 2/2 ▶ Step 2: Take the limit as t goes to 2 from the right. lim t→2+ Z 5 t 1 √ x − 2 dx = 2 √ 3 − 2 lim t→2+ √ t − 2 = 2 √ 3 − 0 = 2 √ 3 =⇒ Z 5 2 1 √ x − 2 dx = 2 √ 3 ▶ Note that here since we are taking the limit from the right side of 2, we are only considering values of t which are greater than 2. This means t − 2 is positive and √ t − 2 is well defined for these values of t.
  • 58. Example 7 1/2 Z π/2 0 sec xdx ▶ f (x) = sec x has infinite discontinuities whenever cos x = 0, which occurs when x = nπ + π 2 for integers n = 0, ±1, ±2, . . .. ▶ So sec x has an infinite discontinuity at π/2 which is an endpoint of the interval [0, π 2 ]. ▶ Step 1: Compute Z t 0 sec xdx 0 t π/2 Z t 0 sec xdx = ln | sec x + tan x|
  • 59.
  • 60.
  • 61. t 0 = ln | sec t + tan t| − ln | sec 0 + tan 0| = ln | sec t + tan t|
  • 62. Example 7 2/2 ▶ Step 2: Take the limit as t goes to π/2 from the left. ▶ Both sec t → ∞ and tan t → ∞ as t → π/2 from the left. lim t→π/2− Z t 0 sec xdx = lim t→π/2− ln | sec t + tan t| = ln lim t→π/2− | sec t + tan t| = ∞
  • 63. Example 8 1/ Z 3 0 dx x − 1 ▶ f (x) = 1 x−1 has an infinite discontinuity at x = 1, which is between x = 0 and x = 3. ▶ Step 1: Compute the two integrals I1 = Z t 0 dx x − 1 | {z } 0t1 and I2 = Z 3 t dx x − 1 | {z } 1t3
  • 64. Example 8 2/ I1 = Z t 0 dx x − 1 | {z } u=x−1, du=dx u1=−1, u2=t−1 = Z t−1 −1 du u = ln |u|
  • 65.
  • 66.
  • 67. t−1 −1 = ln |t − 1| − ln | − 1| = ln |t − 1| − ln 1 = ln |t − 1| I2 = Z 3 t dx x − 1 | {z } u=x−1 du u1=t−1, u2=2 = ln |u|
  • 68.
  • 69.
  • 70. 2 t−1 = ln |2| − ln |t − 1| = ln
  • 71.
  • 72.
  • 74.
  • 75.
  • 76.
  • 77. Example 8 3/ ▶ Step 2: Take the limits ▶ of I1 as t goes to 1 from the right ▶ of I2 as t goes to 1 from the left. lim t→1+ I1 = lim t→1+ ln |t − 1| = lim v→0 ln |v| since lim t→1+ (t − 1) = 0 ! = −∞ lim t→1− I2 = lim t→1− ln
  • 78.
  • 79.
  • 81.
  • 82.
  • 83. = lim v→−∞ ln |v| since lim t→1− 2 t − 1 = −∞ ! = ∞
  • 84. Example 8 3/ ▶ It is important to note that we did not need to calculate both I1 and I2 in this case to conclude that the integral Z 3 0 dx x − 1 is divergent. ▶ Once we determined that I1 was divergent, we knew the whole thing was divergent. ▶ If we found one was convergent and the other was divergent, the whole thing would still be divergent.
  • 85. Example 9 1/ Z 1 0 ln xdx ▶ f (x) = ln x has a vertical asymptote at the y-axis, x = 0 which is an endpoint of the interval [0, 1]. ▶ Step 1: Compute Z 1 t ln xdx 0 t ≤ 1 Z 1 t ln xdx = x ln x − x
  • 86.
  • 87.
  • 88. 1 t = (1 ln 1 − 1) − (t ln t − t) = −1 − t ln t + t
  • 89. Example 9 2/ ▶ Step 2: Take the limit as t → 0 from the right. lim t→0+ Z 1 t ln xdx = lim t→0+ (−1 − t ln t + t) = −1 − lim t→0+ t ln t = −1 − lim t→0+ ln t 1 t → ∞ ∞ Use L’Hospitals = −1 − lim t→0+ 1 t − 1 t2 = −1 + lim t→0+ t = −1 This says that the area of the region between ln x and the x and y axes is 1.
  • 90. A Comparison Test for Integrals
  • 91. Comparison Theorem ▶ 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. ▶ In the case that we need to know whether an improper integral is convergent or divergent, but it is impossible to find its exact value, comparison test can be useful. ▶ Compare to the Squeeze Theorem regarding limits of functions in Calc I.
  • 92. Example 10 1/3 Show that Z ∞ 0 e−x2 dx is convergent. ▶ The integral of f (x) = e−x2 is not possible to compute in terms of elementary functions. ▶ So we want to compare f (x) = e−x2 to a function we can integrate, which also has a convergent integral from x = 1 to ∞.
  • 93. Example 10 2/3 ▶ Since x2 x for x 1, ex2 ex for x 1, and thus e−x2 e−x for x 1. ▶ Let’s determine if Z ∞ 1 e−x dx converges. ▶ Step 1: Compute Z t 1 e−x dx Z t 1 e−x dx | {z } u=−t, du=−dt u1=−1 u2=−t = − Z −t −1 eu du = −eu
  • 94.
  • 95.
  • 97. Example 10 3/3 ▶ Step 2: Take the limit: lim t→∞ Z t 1 e−x dx = lim t→∞ 1 e − 1 et = 1 e ▶ Thus by the Comparison theorem, Z ∞ 1 1 ex2 dx converges to some number below 1 e although we do not know the exact value.
  • 98. Example 11 1/3 Does the following integral converge or diverge? Z 1 0 sec2 x x √ x dx
  • 99. Example 11 2/3 ▶ On the interval [0, 1], sec x ≥ 1, so sec2 x ≥ 1. sec2 x x √ x ≥ 1 x √ x = 1 x3/2 ▶ Now, Z 1 0 1 x3/2 dx is an improper integral of type II, with infinite discontinuity at x = 0. ▶ Let’s determine if it diverges.
  • 100. Example 11 3/3 ▶ Step 1: Z 1 t 1 x3/2 dx = x1−3/2 1 − 3/2
  • 101.
  • 102.
  • 103. 1 t (t 0) = − 2 √ x
  • 104.
  • 105.
  • 106. 1 t = 2 √ t − 2 ▶ Step 2: Take the limit lim t→0+ Z 1 t 1 x3/2 dx = lim t→0+ 2 √ t − 2 = ∞ ▶ So Z 1 0 1 x3/2 dx is divergent ▶ Therefore by comparison, Z 1 0 sec2 x x √ x dx is divergent as well.
  • 107. Example 12 1/2 Does the following integral converge or diverge? Z ∞ 0 7x x5 + 1 dx
  • 108. Example 12 1/2 ▶ We can use the fact that 7x x5+1 7x x5 = 7 x4 for all x 0. ▶ We know R ∞ 1 7 x4 dx converges since it is an integral of the form R ∞ 1 1 xp dx with p = 4 1. ▶ The constant multiple 7 does not affect the convergence of the integral. 7 times a constant is a constant. . .and 7 times ±∞ is not going to be finite. ▶ So by (a) of comparison test, R ∞ 1 7x x5+1 dx converges. ▶ Our original integral starts at 0 not 1. But we know R 1 0 7x x5+1 dx is finite because the integrand is continuous on [0, 1]. So since Z ∞ 0 7x x5 + 1 dx = Z 1 0 7x x5 + 1 dx + Z ∞ 1 7x x5 + 1 dx the integral Z ∞ 0 7x x5 + 1 dx converges