In mathematics, the ratio test is a test (or "criterion") for the convergence of a series

where each term is a real or complex number and an is nonzero when n is large. The test was first published by Jean le Rond d'Alembert and is sometimes known as d'Alembert's ratio test or as the Cauchy ratio test.[1]
The test
The usual form of the test makes use of the limit
 | | 1 |
The ratio test states that:
- if L < 1 then the series converges absolutely;
- if L > 1 then the series diverges;
- if L = 1 or the limit fails to exist, then the test is inconclusive, because there exist both convergent and divergent series that satisfy this case.
It is possible to make the ratio test applicable to certain cases where the limit L fails to exist, if limit superior and limit inferior are used. The test criteria can also be refined so that the test is sometimes conclusive even when L = 1. More specifically, let

.
Then the ratio test states that:[2][3]
- if R < 1, the series converges absolutely;
- if r > 1, the series diverges; or equivalently if
for all large n (regardless of the value of r), the series also diverges; this is because
is nonzero and increasing and hence an does not approach zero;
- the test is otherwise inconclusive.
If the limit L in (1) exists, we must have L = R = r. So the original ratio test is a weaker version of the refined one.
Examples
Convergent because L < 1
Consider the series

Applying the ratio test, one computes the limit

Since this limit is less than 1, the series converges.
Divergent because L > 1
Consider the series

Putting this into the ratio test:

Thus the series diverges.
Inconclusive because L = 1
Consider the three series



The first series (1 + 1 + 1 + 1 + ⋯) diverges, the second (the one central to the Basel problem) converges absolutely and the third (the alternating harmonic series) converges conditionally. However, the term-by-term magnitude ratios
of the three series are
and
. So, in all three, the limit
is equal to 1. This illustrates that when L = 1, the series may converge or diverge: the ratio test is inconclusive. In such cases, more refined tests are required to determine convergence or divergence.
Proof
Below is a proof of the validity of the generalized ratio test.
Suppose that
. We also suppose that
has infinite non-zero members, otherwise the series is just a finite sum hence it converges. Then there exists some
such that there exists a natural number
satisfying
and
for all
, because if no such
exists then there exists arbitrarily large
satisfying
for every
, then we can find a subsequence
satisfying
, but this contradicts the fact that
is the limit inferior of
as
, implying the existence of
. Then we notice that for
,
. Notice that
so
as
and
, this implies
diverges so the series
diverges by the n-th term test.
Now suppose
. Similar to the above case, we may find a natural number
and a
such that
for
. Then
The series
is the geometric series with common ratio
, hence
which is finite. The sum
is a finite sum and hence it is bounded, this implies the series
converges by the monotone convergence theorem and the series
converges by the absolute convergence test.
When the limit
exists and equals to
then
, this gives the original ratio test.
Extensions for L = 1
As seen in the previous example, the ratio test may be inconclusive when the limit of the ratio is 1. Extensions to the ratio test, however, sometimes allow one to deal with this case.[4][5][6][7][8][9][10][11]
In all the tests below one assumes that Σan is a sum with positive an. These tests also may be applied to any series with a finite number of negative terms. Any such series may be written as:

where aN is the highest-indexed negative term. The first expression on the right is a partial sum which will be finite, and so the convergence of the entire series will be determined by the convergence properties of the second expression on the right, which may be re-indexed to form a series of all positive terms beginning at n=1.
Each test defines a test parameter (ρn) which specifies the behavior of that parameter needed to establish convergence or divergence. For each test, a weaker form of the test exists which will instead place restrictions upon limn->∞ρn.
All of the tests have regions in which they fail to describe the convergence properties of Σan. In fact, no convergence test can fully describe the convergence properties of the series.[4][10] This is because if Σan is convergent, a second convergent series Σbn can be found which converges more slowly: i.e., it has the property that limn->∞ (bn/an) = ∞. Furthermore, if Σan is divergent, a second divergent series Σbn can be found which diverges more slowly: i.e., it has the property that limn->∞ (bn/an) = 0. Convergence tests essentially use the comparison test on some particular family of an, and fail for sequences which converge or diverge more slowly.
De Morgan hierarchy
Augustus De Morgan proposed a hierarchy of ratio-type tests[4][9]
The ratio test parameters (
) below all generally involve terms of the form
. This term may be multiplied by
to yield
. This term can replace the former term in the definition of the test parameters and the conclusions drawn will remain the same. Accordingly, there will be no distinction drawn between references which use one or the other form of the test parameter.
1. d'Alembert's ratio test
The first test in the De Morgan hierarchy is the ratio test as described above.
2. Raabe's test
This extension is due to Joseph Ludwig Raabe. Define:

(and some extra terms, see Ali, Blackburn, Feld, Duris (none), Duris2)
The series will:[7][10][9]
- Converge when there exists a c>1 such that
for all n>N.
- Diverge when
for all n>N.
- Otherwise, the test is inconclusive.
For the limit version,[12] the series will:
- Converge if
(this includes the case ρ = ∞)
- Diverge if
.
- If ρ = 1, the test is inconclusive.
When the above limit does not exist, it may be possible to use limits superior and inferior.[4] The series will:
- Converge if

- Diverge if

- Otherwise, the test is inconclusive.
Proof of Raabe's test
Defining
, we need not assume the limit exists; if
, then
diverges, while if
the sum converges.
The proof proceeds essentially by comparison with
. Suppose first that
. Of course
if
then
for large
, so the sum diverges; assume then that
. There exists
such that
for all
, which is to say that
. Thus
, which implies that
for
; since
this shows that
diverges.
The proof of the other half is entirely analogous, with most of the inequalities simply reversed. We need a preliminary inequality to use
in place of the simple
that was used above: Fix
and
. Note that
. So
; hence
.
Suppose now that
. Arguing as in the first paragraph, using the inequality established in the previous paragraph, we see that there exists
such that
for
; since
this shows that
converges.
3. Bertrand's test
This extension is due to Joseph Bertrand and Augustus De Morgan.
Defining:

Bertrand's test[4][10] asserts that the series will:
- Converge when there exists a c>1 such that
for all n>N.
- Diverge when
for all n>N.
- Otherwise, the test is inconclusive.
For the limit version, the series will:
- Converge if
(this includes the case ρ = ∞)
- Diverge if
.
- If ρ = 1, the test is inconclusive.
When the above limit does not exist, it may be possible to use limits superior and inferior.[4][9][13] The series will:
- Converge if

- Diverge if

- Otherwise, the test is inconclusive.
4. Extended Bertrand's test
This extension probably appeared at the first time by Margaret Martin in 1941.[14] A short proof based on Kummer's test and without technical assumptions (such as existence of the limits, for example) was provided by Vyacheslav Abramov in 2019.[15]
Let
be an integer, and let
denote the
th iterate of natural logarithm, i.e.
and for any
,
.
Suppose that the ratio
, when
is large, can be presented in the form

(The empty sum is assumed to be 0. With
, the test reduces to Bertrand's test.)
The value
can be presented explicitly in the form

Extended Bertrand's test asserts that the series
- Converge when there exists a
such that
for all
.
- Diverge when
for all
.
- Otherwise, the test is inconclusive.
For the limit version, the series
- Converge if
(this includes the case
)
- Diverge if
.
- If
, the test is inconclusive.
When the above limit does not exist, it may be possible to use limits superior and inferior. The series
- Converge if

- Diverge if

- Otherwise, the test is inconclusive.
For applications of Extended Bertrand's test see birth–death process.
5. Gauss's test
This extension is due to Carl Friedrich Gauss.
Assuming an > 0 and r > 1, if a bounded sequence Cn can be found such that for all n:[5][7][9][10]

then the series will:
- Converge if

- Diverge if

6. Kummer's test
This extension is due to Ernst Kummer.
Let ζn be an auxiliary sequence of positive constants. Define

Kummer's test states that the series will:[5][6][10][11]
- Converge if there exists a
such that
for all n>N. (Note this is not the same as saying
)
- Diverge if
for all n>N and
diverges.
For the limit version, the series will:[16][7][9]
- Converge if
(this includes the case ρ = ∞)
- Diverge if
and
diverges.
- Otherwise the test is inconclusive
When the above limit does not exist, it may be possible to use limits superior and inferior.[4] The series will
- Converge if

- Diverge if
and
diverges.
Special cases
All of the tests in De Morgan's hierarchy except Gauss's test can easily be seen as special cases of Kummer's test:[4]
- For the ratio test, let ζn=1. Then:

- For Raabe's test, let ζn=n. Then:

- For Bertrand's test, let ζn=n ln(n). Then:

- Using
and approximating
for large n, which is negligible compared to the other terms,
may be written:

- For Extended Bertrand's test, let
From the Taylor series expansion for large
we arrive at the approximation

where the empty product is assumed to be 1. Then,
![{\displaystyle \rho _{\text{Kummer}}=n\prod _{k=1}^{K}\ln _{(k)}(n){\frac {a_{n}}{a_{n+1}}}-(n+1)\left[\prod _{k=1}^{K}\left(\ln _{(k)}(n)+{\frac {1}{n\prod _{j=1}^{k-1}\ln _{(j)}(n)}}\right)\right]+o(1)=n\prod _{k=1}^{K}\ln _{(k)}(n)\left({\frac {a_{n}}{a_{n+1}}}-1\right)-\sum _{j=1}^{K}\prod _{k=1}^{j}\ln _{(K-k+1)}(n)-1+o(1).}](./cfcc150850af328091357822121ca4ebb628864e.svg)
Hence,

Note that for these four tests, the higher they are in the De Morgan hierarchy, the more slowly the
series diverges.
Proof of Kummer's test
If
then fix a positive number
. There exists
a natural number
such that for every

Since
, for every

In particular
for all
which means that starting from the index
the sequence
is monotonically decreasing and
positive which in particular implies that it is bounded below by 0. Therefore, the limit
exists.
This implies that the positive telescoping series
is convergent,
and since for all

by the direct comparison test for positive series, the series
is convergent.
On the other hand, if
, then there is an N such that
is increasing for
. In particular, there exists an
for which
for all
, and so
diverges by comparison with
.
Tong's modification of Kummer's test
A new version of Kummer's test was established by Tong.[6] See also [8][11][17]
for further discussions and new proofs. The provided modification of Kummer's theorem characterizes
all positive series, and the convergence or divergence can be formulated in the form of two necessary and sufficient conditions, one for convergence and another for divergence.
- Series
converges if and only if there exists a positive sequence
,
, such that 
- Series
diverges if and only if there exists a positive sequence
,
, such that
and 
The first of these statements can be simplified as follows:[18]
- Series
converges if and only if there exists a positive sequence
,
, such that 
The second statement can be simplified similarly:
- Series
diverges if and only if there exists a positive sequence
,
, such that
and 
However, it becomes useless, since the condition
in this case reduces to the original claim
Frink's ratio test
Another ratio test that can be set in the framework of Kummer's theorem was presented by Orrin Frink[19] 1948.
Suppose
is a sequence in
,
- If
, then the series
converges absolutely.
- If there is
such that
for all
, then
diverges.
This result reduces to a comparison of
with a power series
, and can be seen to be related to Raabe's test.[20]
Ali's second ratio test
A more refined ratio test is the second ratio test:[7][9]
For
define:
|
|
|
By the second ratio test, the series will:
- Converge if

- Diverge if

- If
then the test is inconclusive.
If the above limits do not exist, it may be possible to use the limits superior and inferior. Define:
|
|
|
|
|
|
|
|
|
Then the series will:
- Converge if

- Diverge if

- If
then the test is inconclusive.
Ali's mth ratio test
This test is a direct extension of the second ratio test.[7][9] For
and positive
define:
|
|
By the
th ratio test, the series will:
- Converge if

- Diverge if

- If
then the test is inconclusive.
If the above limits do not exist, it may be possible to use the limits superior and inferior. For
define:
|
|
|
|
|
Then the series will:
- Converge if

- Diverge if

- If
, then the test is inconclusive.
Ali--Deutsche Cohen φ-ratio test
This test is an extension of the
th ratio test.[21]
Assume that the sequence
is a positive decreasing sequence.
Let
be such that
exists. Denote
, and assume
.
Assume also that
Then the series will:
- Converge if

- Diverge if

- If
, then the test is inconclusive.
See also
- ^ Weisstein, Eric W. "Ratio Test". MathWorld.
- ^ Rudin 1976, §3.34
- ^ Apostol 1974, §8.14
- ^ a b c d e f g h Bromwich, T. J. I'A (1908). An Introduction To The Theory of Infinite Series. Merchant Books.
- ^ a b c Knopp, Konrad (1954). Theory and Application of Infinite Series. London: Blackie & Son Ltd.
- ^ a b c
Tong, Jingcheng (May 1994). "Kummer's Test Gives Characterizations for Convergence or Divergence of all Positive Series". The American Mathematical Monthly. 101 (5): 450–452. doi:10.2307/2974907. JSTOR 2974907.
- ^ a b c d e f
Ali, Sayel A. (2008). "The mth Ratio Test: New Convergence Test for Series". The American Mathematical Monthly. 115 (6): 514–524. doi:10.1080/00029890.2008.11920558. S2CID 16336333. Retrieved 4 September 2024.
- ^ a b
Samelson, Hans (November 1995). "More on Kummer's Test". The American Mathematical Monthly. 102 (9): 817–818. doi:10.2307/2974510. JSTOR 2974510.
- ^ a b c d e f g h Blackburn, Kyle (4 May 2012). "The mth Ratio Convergence Test and Other Unconventional Convergence Tests" (PDF). University of Washington College of Arts and Sciences. Retrieved 27 November 2018.
- ^ a b c d e f Ďuriš, František (2009). Infinite series: Convergence tests (Bachelor's thesis). Katedra Informatiky, Fakulta Matematiky, Fyziky a Informatiky, Univerzita Komenského, Bratislava. Retrieved 28 November 2018.
- ^ a b c Ďuriš, František (2 February 2018). "On Kummer's test of convergence and its relation to basic comparison tests". arXiv:1612.05167 [math.HO].
- ^ Weisstein, Eric W. "Raabe's Test". MathWorld.
- ^ Weisstein, Eric W. "Bertrand's Test". MathWorld.
- ^ Martin, Margaret (1941). "A sequence of limit tests for the convergence of series" (PDF). Bulletin of the American Mathematical Society. 47 (6): 452–457. doi:10.1090/S0002-9904-1941-07477-X.
- ^ Abramov, Vyacheslav M. (May 2020). "Extension of the Bertrand–De Morgan test and its application". The American Mathematical Monthly. 127 (5): 444–448. arXiv:1901.05843. doi:10.1080/00029890.2020.1722551. S2CID 199552015.
- ^ Weisstein, Eric W. "Kummer's Test". MathWorld.
- ^ Abramov, Vyacheslav, M. (21 June 2021). "A simple proof of Tong's theorem". arXiv:2106.13808 [math.HO].
{{cite arXiv}}
: CS1 maint: multiple names: authors list (link)
- ^
Abramov, Vyacheslav M. (May 2022). "Evaluating the sum of convergent positive series" (PDF). Publications de l'Institut Mathématique. Nouvelle Série. 111 (125): 41–53. doi:10.2298/PIM2225041A. S2CID 237499616.
- ^ Frink, Orrin (October 1948). "A ratio test". Bulletin of the American Mathematical Society. 54 (10): 953–953.
- ^ Stark, Marceli (1949). "On the ratio test of Frink". Colloquium Mathematicum. 2 (1): 46–47.
- ^ Ali, Sayel; Cohen, Marion Deutsche (2012). "phi-ratio tests". Elemente der Mathematik. 67 (4): 164–168. doi:10.4171/EM/206.
References
- d'Alembert, J. (1768), Opuscules, vol. V, pp. 171–183.
- Apostol, Tom M. (1974), Mathematical analysis (2nd ed.), Addison-Wesley, ISBN 978-0-201-00288-1: §8.14.
- Knopp, Konrad (1956), Infinite Sequences and Series, New York: Dover Publications, Bibcode:1956iss..book.....K, ISBN 978-0-486-60153-3 : §3.3, 5.4.
- Rudin, Walter (1976), Principles of Mathematical Analysis (3rd ed.), New York: McGraw-Hill, Inc., ISBN 978-0-07-054235-8: §3.34.
- "Bertrand criterion", Encyclopedia of Mathematics, EMS Press, 2001 [1994]
- "Gauss criterion", Encyclopedia of Mathematics, EMS Press, 2001 [1994]
- "Kummer criterion", Encyclopedia of Mathematics, EMS Press, 2001 [1994]
- Watson, G. N.; Whittaker, E. T. (1963), A Course in Modern Analysis (4th ed.), Cambridge University Press, ISBN 978-0-521-58807-2 : §2.36, 2.37.