Page 1 of 5
Journal for Studies in Management and Planning
Available at http://edupediapublications.org/journals/index.php/JSMaP/
e-ISSN: 2395-0463
Volume 01 Issue 11
December 2015
Available online: http://edupediapublications.org/journals/index.php/JSMaP/ P a g e | 329
Different Tests to Analyze the Behavior of
Infinite Series - A Review
Joginder Kaur
Lecturer (Mathematics), Punjab Technical University, Punjab, India
ABSTRACT: This paper reviews the methods to
select correct tests for checking the convergence or
divergence of infinite series. To check the
convergence or divergence of a series, there are
various methods like Power Test, Comparison Test,
Root Test, Ratio Test, Gauss Test etc. and the
conditions and methods to apply these tests are
explained here. Only the correct use of these tests
gives us the valid results about the behavior of a
series.
KEY WORDS: Convergent, Divergent, Oscillates,
Partial Sums, Alternating Series, Harmonic Series,
Geometric series, Power Series.
I. INTRODUCTION:
An infinite series is a sequence of numbers in which
an infinite number of terms are added successively.
It is a series in which the number of terms increases
without bound. Of particular concern with infinite
series is whether they are convergent or divergent.
For example, the infinite series 1+1+1+1+-------. is
clearly divergent because the sum of the first n terms
increases without bound as more and more terms are
taken. [9] It is less clear as to whether the harmonic
and alternating harmonic series:
1+1
2
+ 1
3
+ 1
4
+ ----------
1-
1
2
+ 1
3
-
1
4
+ ----------
Converge or diverge. Indeed one may be surprised to
find that the first is divergent and the second is
convergent. What we shall do here is to consider
some simple convergence tests for infinite series and
explain their applications under different conditions.
[8]
1.1 SEQUENCE OF n
th PARTIAL SUMS:
Before studying the behavior of a series, we shall
know about the sequence of n
th partial sums:
Let ∑ an be an infinite series with partial sums as
σ1= a1
σ2= a1+ a2
σ3= a1+ a2 +a3
---------------------
Then {σn } is called sequence of n
th partial sums.
1.2 BEHAVIOUR OF A SERIES:
Let ∑ an be an infinite series and {σn } be sequence
of n
th partial sums of ∑ an then
(i) ∑ an is convergent iff {σn} is convergent
Further ∑ an = l iff {σn} →l
i.e. Sum of series ∑ an = Limit of sequence {σn}
(ii) ∑ an Diverges to ± ∞ iff {σn} diverges to ± ∞.
(iii) ∑ an Oscillates finitely (or infinitely) iff {σn}
oscillates finitely (or infinitely). [2]
II. DIFFERENT TESTS FOR CHECKING
CONVERGENCE OF AN INFINITE
SERIES:
There are four types of series:
1. Alternating series
2. Power series
3. Geometric series
4. Positive term series
The following table shows different tests used for
different types of series:
Table 1: Different tests for different types of series:
Sr.
No.
Type of series Name of Test
1. Alternating series Leibnitz Test
2. Power series Power test
3. Geometric series Geometric Series Test
4. Positive term series Comparison Test
Cauchy’s Condensation Test
Cauchy’s Root Test
Cauchy’s Integral Formula
D’Alembert’s Ratio Test
Raabe’s Test
Gauss Test
Logarithmic Test
Page 2 of 5
Journal for Studies in Management and Planning
Available at http://edupediapublications.org/journals/index.php/JSMaP/
e-ISSN: 2395-0463
Volume 01 Issue 11
December 2015
Available online: http://edupediapublications.org/journals/index.php/JSMaP/ P a g e | 330
2.1 LEIBNITZ TEST:
2.1.1 Applicability: It is also known as alternating
series test because with the help of this test, we
can check the convergence of an Alternating
series. [1]
2.1.2 Conditions to Apply and Results:
If the sequence {vn} is
(i) Monotonic
(ii) {vn} →0
Then ∑(−1)
n−1 vn is convergent
EXAMPLE 1. : The series ∑
(−1)
n−1
n
is convergent.
Here vn =
1
n
Clearly (i) { 1
n
} is monotonically decreasing sequence.
(ii) 1
n
→ 0 as n→ ∞
So by Leibnitz Test, ∑
(−1)
n−1
n
is convergent.
2.2 POWER TEST (P- TEST):
2.2.1 Applicability: 1. This test is only used when
the given series is of the form ∑
1
np
and it is useful in
various Powerful tests like Comparison test, Caucy’s
Condensation Test etc. [5]
2.2.2 Conditions to Apply and Results: ∑
1
np
is
divergent for p≤1
Convergent for p>1
EXAMPLE 2: The series 1
n
1
2
⁄
is divergent
Because here p= 1
2
<1
2.3 GEOMETRIC SERIES TEST:
2.3.1 Applicability: This test is used only for
Geometric series in which common ratio of two
consecutive terms is equal. [3]
2.3.2 Conditions to Apply and Results:
Let the given series be of the form 1+x+x
2+x
3+----
Then it converges for |x| <1
And diverges for x ≥ 1
2.4 COMPARISON TEST:
2.4.1 Applicability: 1. This test is used only when
the given series can be broken in to two parts un and
vn and behavior of vn can be easily checked most
probably with the help of Power Test and Geometric
Test.
2.4.2 Conditions to Apply and Results: Let ∑ un
and ∑ vn be two series and limn→∞
un
vn
= l
(i) If l ≠ 0, l is finite then ∑ un and ∑ vn behave alike.
(ii) If l = 0 then ∑ un is convergent if ∑ vn is convergent.
(iii) If l = infinite then ∑ un is divergent if ∑ vn is
divergent.
EXAMPLE 3: The series ∑
n
n2+ n+1
is divergent.
Here un=
n
n2+ n+1
&vn=
1
Degree of denominator−Degree of numerator
=
1
n
limn→∞
un
vn
= limn→∞
n
n2+ n+1
x n
= limn→∞
n
2
n2+ n+1
=limn→∞
1
1+
1
n
+
1
n2
= 1 ≠ 0
Hence ∑ un and ∑ vn behave alike.
Now ∑ vn = ∑
1
n
is divergent. (By P-Test)
Therefore ∑ un = ∑
n
n2+ n+1
is also divergent.
2.5 CAUCHY’S CONDENSATION TEST:
2.5.1 Applicability: This test is only used when we
know the monotonic behavior of a series. If the series
is monotonically decreasing, then apply Cauchy
Condensation test. [6]
2.5.2 Conditions to Apply and Results: Let ∑ an be
a series such that
(i) an>0 ∀ n
(ii) an > an+1
Then ∑ an and ∑ 2
n a2
n behave alike.
EXAMPLE 4: The series ∑
(log n)
−3
4
⁄
n
is divergent.
Here ∑ an= ∑
(log n)
−3
4
⁄
n
(i) Clearly an=
1
n(log n)
3
4
⁄
>0 ∀ n
(ii) 1
(n+1)[log( n+1)]
3
4
⁄
<
1
n(log n)
3
4
⁄
∴ an+1 < an
Page 3 of 5
Journal for Studies in Management and Planning
Available at http://edupediapublications.org/journals/index.php/JSMaP/
e-ISSN: 2395-0463
Volume 01 Issue 11
December 2015
Available online: http://edupediapublications.org/journals/index.php/JSMaP/ P a g e | 331
Hence ∑ an and ∑ 2
n a2
n behave alike.
∴ ∑ 2
n a2
n = ∑ 2
n 1
2
n(log 2
n)
3
4
⁄
= ∑
1
(n log 2)
3
4
⁄
=
1
(log 2)
3
4
⁄
∑
1
n
3
4
⁄
which is divergent by
P-Test (Here p=3
4
<1)
Hence ∑
(log n)
−3
4
⁄
n
is divergent.
2.6 CAUCHY’S ROOT TEST:
2.6.1 Applicability: This test is used when an is
having powers like n, n
2
etc.
2.6.2 Conditions to Apply and Results: Let ∑ an be
a series such that
(i) an ≥ 0 ∀ n
(ii) limn→∞
an
1⁄n = l
Then ∑ an is convergent if l < 1
Divergent if l > 1
If l = 1 then Cauchy’s Root Test fails. [4]
EXAMPLE 5: The series ∑(
n
n+1
)
n
2
is convergent
Here (i) an = (
n
n+1
)
n
2
≥ 0 ∀ n
(ii) limn→∞
an
1⁄n = limn→∞
(
n
n+1
)
n
2
n
= limn→∞
(
1
1+
1
n
)
n
=
1
e
< 1
Hence ∑(
n
n+1
)
n
2
is convergent.
2.7. CAUCHY’S INTEGRAL FORMULA:
2.7.1 Applicability: 1. When limits are given i.e. we
have to prove that the given series lies between two
limits then Cauchy’s Integral Test is applied.
2. When limits are not given between which we have
to prove that the given series lies but ∫ f(x) dx is
very easy to calculate then we apply Cauchy’s
Integral Test.
2.7.2 Conditions to Apply and Results: Let f be
defined as non-negative and decreasing ∀ n≥ 1.
Let (i) σn= f (1) +f (2) +f (3) +----------+f (n)
(ii) And In= ∫ f(x) dx n
1
Then { σn − In} is convergent and
∑ f(n)and limn→∞
∫ f(x) dx n
1
behave alike.
And if ∑ f(n) is convergent then it converges
between I and I + f (1), where I= limn→∞
In
2.8 D’ALEMBERT’S RATIO TEST:
2.8.1 Applicability: If an contains factorial of any
term, then we apply Ratio Test.
2.8.2 Conditions to Apply and Results: Let ∑ an be
a series such that
(i) an>0 ∀ n
(ii) limn→∞
an
an+1
= l
Then ∑ an is convergent if l > 1
Divergent if l < 1
If l = 1 then Ratio Test fails.
EXAMPLE 6: The series ∑
(n!)
2
2n!
x
n
; x > 0 is
convergent for x < 4 and divergent for x > 4.
Here (i) an =
(n!)
2
2n!
x
n
> 0 ∀ n
(ii) an+1 =
(n+1!)
2
2(n+1)!
x
n+1
limn→∞
an
an+1
= limn→∞
(n!)
2(2n+2)(2n+1)(2n)!
(2n)!(n+1)
2 (n!)
2
1
x
= limn→∞
4n(1+
1
2n
)
n(1+
1
n
)
1
x
=
4
x
Hence ∑ an is convergent if 4
x
> 1
Divergent if 4
x
< 1
i.e. ∑ an is convergent if x < 4
Divergent if x > 4
And for x=4, Ratio Test fails.
2.9 RAABE’S TEST:
2.9.1 Applicability: 1. When we apply Ratio Test but
it fails and conditions to apply the most common tests
i.e. Gauss Test and Logarithmic Test are not satisfied
then we apply Raabe’sTest.
2.9.2 Conditions to Apply and Results: Let ∑ an be
a series such that
(i) an>0 ∀ n
(ii) limn→∞
(
an
an+1
−1)n = l
Then ∑ an is convergent if l > 1
Divergent if l < 1
EXAMPLE 7: In example 6, if x=4 then Ratio Test
fails
