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The Direct Comparison Test for Convergence of Infinite Series, Schemes and Mind Maps of Calculus

The direct comparison test, a method used to determine the convergence or divergence of infinite series by comparing them to a known series. It covers the strategy for using the test, examples of its application, and common errors to avoid.

Typology: Schemes and Mind Maps

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Infinite Series Chapter 2: Convergence tests Section 3: The direct comparison test Page 1
Roberto’s Notes on Infinite Series
Chapter 2: Convergence tests
Section 3
The direct comparison test
What you need to know already:
What you can learn here:
Integral test for series.
Geometric and p-series.
How to compare a new series to a known one
in the attempt to determine the convergence of
the new one.
Although the integral test gives us a powerful way to check the convergence of
a series, it is still dependent on our ability to compute the corresponding integral and,
as you are well aware, this is not always easy or even possible.
But if all we want to do is decide on convergence, without expecting to find or
estimate the sum, we can use a sideways approach: compare the given series to
another one whose behavior is known, such as a geometric series, a p-series or a
telescoping series.
There are two ways of doing this, and in this section we look at the first one.
Strategy for the
direct comparison test
Assume that
n
a
and
are two sequences that
are eventually positive. In that case:
If
1n
n
b
is convergent and eventually
nn
ab
,
then
1n
n
a
is also convergent.
If
1n
n
b
is divergent and eventually
nn
ab
,
then
1n
n
a
is also divergent.
Proof
Since the two sequences are eventually positive, it follows that the sequence
of partial sums of the two series is eventually increasing.
If
1n
n
b
is convergent, its sequence of partial sums, being increasing, must
be bounded. If eventually
nn
ab
, then
1n
n
a
must also have a bounded
sequence of partial sums, since the first few terms where the condition may
not apply add up to a finite sum. Being eventually monotonic and bounded,
the sequence of partial sums is convergent, hence so is
1n
n
a
.
pf3
pf4

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Roberto’s Notes on Infinite Series

Chapter 2 : Convergence tests Section 3

The direct comparison test

What you need to know already: What you can learn here:

 Integral test for series.

 Geometric and p - series.

 How to compare a new series to a known one

in the attempt to determine the convergence of

the new one.

Although the integral test gives us a powerful way to check the convergence of

a series, it is still dependent on our ability to compute the corresponding integral and,

as you are well aware, this is not always easy or even possible.

But if all we want to do is decide on convergence, without expecting to find or

estimate the sum, we can use a sideways approach: compare the given series to

another one whose behavior is known, such as a geometric series, a p -series or a

telescoping series.

There are two ways of doing this, and in this section we look at the first one.

Strategy for the

direct comparison test

Assume that (^)  an and  bn are two sequences that

are eventually positive. In that case:

 If

1

n n

b

(^)  is convergent and eventually anbn ,

then

1

n n

a

(^)  is also convergent.

 If

1

n n

b

(^)  is divergent and eventually anbn ,

then

1

n n

a

(^)  is also divergent.

Proof

Since the two sequences are eventually positive, it follows that the sequence

of partial sums of the two series is eventually increasing.

If

1

n n

b

(^)  is convergent, its sequence of partial sums, being increasing, must

be bounded. If eventually anbn , then

1

n n

a

(^)  must also have a bounded

sequence of partial sums, since the first few terms where the condition may

not apply add up to a finite sum. Being eventually monotonic and bounded,

the sequence of partial sums is convergent, hence so is

1

n n

a

(^) .

If

1

n n

b

(^)  is divergent, being increasing, it must diverge to infinity. If

eventually n n

ab , then the sequence of partial sums of

1

n n

a

(^)  must also

become infinitely large, so that the series diverges.

Notice that both statements are one-way only. This means that we must use

this test with care, but also that in some cases we cannot use it at all.

Example:

2

ln

n

n

This series seems like a good candidate for the integral test, except for the

small problem that

ln

dxx

cannot be computed with a finite formula.

However, we know that the harmonic series

2

n

n

diverges, and we also

know that, for any positive n :

1 1 ln ln

n n n n

Therefore the series above, being larger than a divergent series, is itself

divergent.

Example: 3

1

n

n n

In this case the integral test can be used, but it is laborious, since the integral

requires the use of partial fractions. Instead, we notice that all terms are

positive and that for any positive n :

3 3 3 3

n n n n n n

But the series 3 3 1 1

n n

n n

 

 

 

is a multiple of a p -series with p  1 ,

hence convergent. Our series, being smaller than a convergent series, is also

convergent. Much easier, eh?

Example: 3

1

n

n n

We may be tempted to use the direct comparison test here too, but we can’t,

at least not in the way we used in the previous example. That is because now

all we know is that, for any positive n ,

3 3 3 3

n n n n n n

Therefore we know that our series is larger than a convergent series. But so

what? It can still be divergent! We need a different method to figure this one

out, or we can use the integral test and go through the partial fractions

procedure.

As you just saw, there are situations where the inequality we want to use in a

direct comparison test goes the wrong way and n some of these cases the integration

cannot be done. Notice also that this test involves proving an inequality, which may

not be easy to do in many situations.

So, you can see why another method of comparing series may come in handy.

In the next section you shall see such method, one that does not require proving an

inequality and in fact uses good old calculus methods.

Computation questions:

In each of questions 1-9, use the direct comparison test, or another suitable test, to assess the convergence or divergence of the given series.

2 1

n

n

1/ 1

n

n

3 1

n

n

1

n

n n

2

1

n

n

n n

2 1

n n^ n^5

 ^ 

1

1

n

n

n

n

1

1

n

n

n

n

1 1 1

n (^) n^ n

 

What questions do you have for your instructor?