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mathematics Mathematics is an area of knowledge that includes the topics of numbers, formulas and related structures, shapes and the spaces in which they are contained, and quantities and their changes. These topics are represented in modern mathematics ...
, the ratio test is a
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(or "criterion") for the convergence of a series :\sum_^\infty a_n, where each term is a real or
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and is nonzero when 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.


The test

The usual form of the test makes use of the
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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 :R = \lim\sup \left, \frac\ :r = \lim\inf \left, \frac\. Then the ratio test states that: * if ''R'' < 1, the series converges absolutely; * if ''r'' > 1, the series diverges; * if \left, \frac\> 1 for all large ''n'' (regardless of the value of ''r''), the series also diverges; this is because , a_n, is nonzero and increasing and hence does not approach zero; * the test is otherwise inconclusive. If the limit ''L'' in () 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 :\sum_^\infty\frac Applying the ratio test, one computes the limit :L = \lim_ \left, \frac \ = \lim_ \left, \frac\ = \frac < 1. Since this limit is less than 1, the series converges.


Divergent because ''L'' > 1

Consider the series :\sum_^\infty\frac. Putting this into the ratio test: :L = \lim_ \left, \frac \ = \lim_ \left, \frac \ = e > 1. Thus the series diverges.


Inconclusive because ''L'' = 1

Consider the three series :\sum_^\infty 1, :\sum_^\infty \frac, :\sum_^\infty \frac. The first series ( 1 + 1 + 1 + 1 + ⋯) diverges, the second one (the one central to the Basel problem) converges absolutely and the third one (the alternating harmonic series) converges conditionally. However, the term-by-term magnitude ratios \left, \frac\ of the three series are respectively 1,   \frac    and   \frac. So, in all three cases, one has that the limit \lim_\left, \frac\ is equal to 1. This illustrates that when ''L'' = 1, the series may converge or diverge, and hence the original 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 original ratio test. Suppose that L = \lim_ \left, \frac\ < 1. We can then show that the series converges absolutely by showing that its terms will eventually become less than those of a certain convergent geometric series. To do this, consider a real number ''r such that'' L < r < 1. This implies that , a_, < r , a_, for sufficiently large ''n''; say, for all ''n'' greater than ''N''. Hence , a_, < r^i, a_, for each ''n'' > ''N'' and ''i'' > 0, and so :\sum_^, a_i, = \sum_^ \left , a_ \right , < \sum_^r^, a_, = , a_, \sum_^ r^ = , a_, \frac < \infty. That is, the series converges absolutely. On the other hand, if ''L'' > 1, then , a_, > , a_, for sufficiently large ''n'', so that the limit of the summands is non-zero. Hence the series diverges.


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 allows one to deal with this case. In all the tests below one assumes that Σ''a''''n'' is a sum with positive ''a''''n''. These tests also may be applied to any series with a finite number of negative terms. Any such series may be written as: :\sum_^\infty a_n = \sum_^N a_n+\sum_^\infty a_n 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. 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 The ratio test parameters (\rho_n) below all generally involve terms of the form D_n a_n/a_-D_. This term may be multiplied by a_/a_n to yield D_n-D_a_/a_n. 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: :\rho_n \equiv n\left(\frac-1\right) (and some extra terms, see Ali, Blackburn, Feld, Duris (none), Duris2) The series will: * Converge when there exists a ''c>''1 such that \rho_n \ge c for all ''n>N''. * Diverge when \rho_n \le 1 for all ''n>N''. * Otherwise, the test is inconclusive. For the limit version, the series will: * Converge if \rho=\lim_\rho_n>1 (this includes the case ''ρ'' = ∞) * Diverge if \lim_\rho_n<1. * If ''ρ'' = 1, the test is inconclusive. When the above limit does not exist, it may be possible to use limits superior and inferior. The series will: * Converge if \liminf_ \rho_n > 1 * Diverge if \limsup_ \rho_n < 1 * Otherwise, the test is inconclusive.


=Proof of Raabe's test

= Defining \rho_n \equiv n\left(\frac-1\right), we need not assume the limit exists; if \limsup\rho_n<1, then \sum a_n diverges, while if \liminf \rho_n>1 the sum converges. The proof proceeds essentially by comparison with \sum1/n^R. Suppose first that \limsup\rho_n<1. Of course if \limsup\rho_n<0 then a_\ge a_n for large n, so the sum diverges; assume then that 0\le\limsup\rho_n<1. There exists R<1 such that \rho_n\le R for all n\ge N, which is to say that a_/a_\le \left(1+\frac Rn\right)\le e^. Thus a_\ge a_ne^, which implies that a_\ge a_Ne^\ge ca_Ne^=ca_N/n^R for n\ge N; since R<1 this shows that \sum a_n 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 1+t that was used above: Fix R and N. Note that \log\left(1+\frac Rn\right)=\frac Rn+O\left(\frac 1\right). So \log\left(\left(1+\frac RN\right)\dots\left(1+\frac Rn\right)\right) =R\left(\frac 1N+\dots+\frac 1n\right)+O(1)=R\log(n)+O(1); hence \left(1+\frac RN\right)\dots\left(1+\frac Rn\right)\ge cn^R. Suppose now that \liminf\rho_n>1. Arguing as in the first paragraph, using the inequality established in the previous paragraph, we see that there exists R>1 such that a_\le ca_Nn^ for n\ge N; since R>1 this shows that \sum a_n converges.


3. Bertrand's test

This extension is due to Joseph Bertrand and Augustus De Morgan. Defining: :\rho_n \equiv n \ln n\left(\frac-1\right)-\ln n Bertrand's test asserts that the series will: * Converge when there exists a ''c>1'' such that \rho_n \ge c for all ''n>N''. * Diverge when \rho_n \le 1 for all ''n>N''. * Otherwise, the test is inconclusive. For the limit version, the series will: * Converge if \rho=\lim_\rho_n>1 (this includes the case ''ρ'' = ∞) * Diverge if \lim_\rho_n<1. * If ''ρ'' = 1, the test is inconclusive. When the above limit does not exist, it may be possible to use limits superior and inferior. The series will: * Converge if \liminf \rho_n > 1 * Diverge if \limsup \rho_n < 1 * Otherwise, the test is inconclusive.


4. Extended Bertrand's test

This extension probably appeared at the first time by Margaret Martin in 1941. 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. Let K\geq1 be an integer, and let \ln_(x) denote the Kth iterate of natural logarithm, i.e. \ln_(x)=\ln (x) and for any 2\leq k\leq K, \ln_(x)=\ln_(\ln (x)). Suppose that the ratio a_n/a_, when n is large, can be presented in the form :\frac=1+\frac+\frac\sum_^\frac+\frac, \quad K\geq1. (The empty sum is assumed to be 0. With K=1, the test reduces to Bertrand's test.) The value \rho_ can be presented explicitly in the form :\rho_ = n\prod_^K\ln_(n)\left(\frac-1\right)-\sum_^K\prod_^j\ln_(n). Extended Bertrand's test asserts that the series * Converge when there exists a c>1 such that \rho_n \geq c for all n>N. * Diverge when \rho_n \leq 1 for all n>N. * Otherwise, the test is inconclusive. For the limit version, the series * Converge if \rho=\lim_\rho_n>1 (this includes the case \rho = \infty) * Diverge if \lim_\rho_n<1. * If \rho = 1, 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 \liminf \rho_n > 1 * Diverge if \limsup \rho_n < 1 * 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'': :\frac=1+\frac+\frac then the series will: * Converge if \rho>1 * Diverge if \rho \le 1


6. Kummer's test

This extension is due to Ernst Kummer. Let ζ''n'' be an auxiliary sequence of positive constants. Define :\rho_n \equiv \left(\zeta_n \frac - \zeta_\right) Kummer's test states that the series will: * Converge if there exists a c>0 such that \rho_n \ge c for all n>N. (Note this is not the same as saying \rho_n > 0) * Diverge if \rho_n \le 0 for all n>N and \sum_^\infty 1/\zeta_n diverges. For the limit version, the series will: * Converge if \lim_\rho_n>0 (this includes the case ''ρ'' = ∞) * Diverge if \lim_\rho_n<0 and \sum_^\infty 1/\zeta_n diverges. * Otherwise the test is inconclusive When the above limit does not exist, it may be possible to use limits superior and inferior. The series will * Converge if \liminf_ \rho_n >0 * Diverge if \limsup_ \rho_n <0 and \sum 1/\zeta_n 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: * For the ratio test, let ζn=1. Then: ::\rho_\text = \left(\frac-1\right) = 1/\rho_\text-1 * For Raabe's test, let ζn=n. Then: ::\rho_\text = \left(n\frac-(n+1)\right) = \rho_\text-1 * For Bertrand's test, let ζn=n ln(n). Then: ::\rho_\text = n \ln(n)\left(\frac\right)-(n+1)\ln(n+1) :Using \ln(n+1)=\ln(n)+\ln(1+1/n) and approximating \ln(1+1/n)\rightarrow 1/n for large ''n'', which is negligible compared to the other terms, \rho_\text may be written: ::\rho_\text = n \ln(n)\left(\frac-1\right)-\ln(n)-1 = \rho_\text-1 * For Extended Bertrand's test, let \zeta_n=n\prod_^K\ln_(n). From the Taylor series expansion for large n we arrive at the approximation ::\ln_(n+1)=\ln_(n)+\frac+O\left(\frac\right), where the empty product is assumed to be 1. Then, ::\rho_\text = n\prod_^K\ln_(n)\frac-(n+1)\left prod_^K\left(\ln_(n)+\frac\right)\righto(1) =n\prod_^K\ln_(n)\left(\frac-1\right)-\sum_^K\prod_^j\ln_(n)-1+o(1). Hence, ::\rho_\text = \rho_\text-1. Note that for these four tests, the higher they are in the De Morgan hierarchy, the more slowly the 1/\zeta_n series diverges.


=Proof of Kummer's test

= If \rho_n>0 then fix a positive number 0<\delta<\rho_n. There exists a natural number N such that for every n>N, :\delta\leq\zeta_\frac-\zeta_. Since a_>0, for every n> N, :0\leq \delta a_\leq \zeta_a_-\zeta_a_. In particular \zeta_a_\leq \zeta_a_ for all n\geq N which means that starting from the index N the sequence \zeta_a_>0 is monotonically decreasing and positive which in particular implies that it is bounded below by 0. Therefore, the limit :\lim_\zeta_a_=L exists. This implies that the positive telescoping series :\sum_^\left(\zeta_a_-\zeta_a_\right) is convergent, and since for all n>N, :\delta a_\leq \zeta_a_-\zeta_a_ by the direct comparison test for positive series, the series \sum_^\delta a_ is convergent. On the other hand, if \rho<0, then there is an ''N'' such that \zeta_n a_n is increasing for n>N. In particular, there exists an \epsilon>0 for which \zeta_n a_n>\epsilon for all n>N, and so \sum_n a_n=\sum_n \frac diverges by comparison with \sum_n \frac \epsilon .


Tong's modification of Kummer's test

A new version of Kummer's test was established by Tong. See also 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 \sum_^\infty a_n converges if and only if there exists a positive sequence \zeta_n, n=1,2,\dots, such that \zeta_n\frac-\zeta_\geq c>0. * Series \sum_^\infty a_n diverges if and only if there exists a positive sequence \zeta_n, n=1,2,\dots, such that \zeta_n\frac-\zeta_\leq0, and \sum_^\frac=\infty. The first of these statements can be simplified as follows: * Series \sum_^\infty a_n converges if and only if there exists a positive sequence \zeta_n, n=1,2,\dots, such that \zeta_n\frac-\zeta_=1. The second statement can be simplified similarly: * Series \sum_^\infty a_n diverges if and only if there exists a positive sequence \zeta_n, n=1,2,\dots, such that \zeta_n\frac-\zeta_=0, and \sum_^\frac=\infty. However, it becomes useless, since the condition \sum_^\frac=\infty in this case reduces to the original claim \sum_^a_n=\infty.


Ali's second ratio test

A more refined ratio test is the second ratio test: For a_n>0 define: By the second ratio test, the series will: * Converge if L<\frac * Diverge if L>\frac * If L=\frac 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 L<\frac * Diverge if \ell>\frac * If \ell \le \frac \le L then the test is inconclusive.


Ali's ''m''th ratio test

This test is a direct extension of the second ratio test. For 0\leq k\leq m-1, and positive a_n define: By the mth ratio test, the series will: * Converge if L<\frac * Diverge if L>\frac * If L=\frac then the test is inconclusive. If the above limits do not exist, it may be possible to use the limits superior and inferior. For 0\leq k\leq m-1 define: Then the series will: * Converge if L<\frac * Diverge if \ell>\frac * If \ell \leq \frac \leq L, then the test is inconclusive.


Ali--Deutsche Cohen φ-ratio test

This test is an extension of the mth ratio test. Assume that the sequence a_n is a positive decreasing sequence. Let \varphi:\mathbb^+\to\mathbb^+ be such that \lim_\frac exists. Denote \alpha=\lim_\frac, and assume 0<\alpha<1. Assume also that \lim_\frac=L. Then the series will: * Converge if L<\alpha * Diverge if L>\alpha * If L=\alpha, then the test is inconclusive.


See also

* Root test * Radius of convergence


Footnotes


References

*. *: §8.14. * : §3.3, 5.4. * : §3.34. * * * * : §2.36, 2.37. {{Calculus topics Convergence tests Articles containing proofs it:Criteri di convergenza#Criterio del rapporto (o di d'Alembert)