Ratio Test
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mathematics Mathematics is a field of study that discovers and organizes methods, Mathematical theory, theories and theorems that are developed and Mathematical proof, proved for the needs of empirical sciences and mathematics itself. There are many ar ...
, the ratio test is a
test Test(s), testing, or TEST may refer to: * Test (assessment), an educational assessment intended to measure the respondents' knowledge or other abilities Arts and entertainment * ''Test'' (2013 film), an American film * ''Test'' (2014 film) ...
(or "criterion") for the
convergence Convergence may refer to: Arts and media Literature *''Convergence'' (book series), edited by Ruth Nanda Anshen *Convergence (comics), "Convergence" (comics), two separate story lines published by DC Comics: **A four-part crossover storyline that ...
of a
series Series may refer to: People with the name * Caroline Series (born 1951), English mathematician, daughter of George Series * George Series (1920–1995), English physicist Arts, entertainment, and media Music * Series, the ordered sets used i ...
:\sum_^\infty a_n, where each term is a
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or
complex number In mathematics, a complex number is an element of a number system that extends the real numbers with a specific element denoted , called the imaginary unit and satisfying the equation i^= -1; every complex number can be expressed in the for ...
and is nonzero when is large. The test was first published by
Jean le Rond d'Alembert Jean-Baptiste le Rond d'Alembert ( ; ; 16 November 1717 – 29 October 1783) was a French mathematician, mechanician, physicist, philosopher, and music theorist. Until 1759 he was, together with Denis Diderot, a co-editor of the ''Encyclopé ...
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 limit The ratio test states that: * if ''L'' < 1 then the series
converges absolutely In mathematics, an infinite series of numbers is said to converge absolutely (or to be absolutely convergent) if the sum of the absolute values of the summands is finite. More precisely, a real or complex series \textstyle\sum_^\infty a_n is said ...
; * 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 In mathematics, the limit inferior and limit superior of a sequence can be thought of as limiting (that is, eventual and extreme) bounds on the sequence. They can be thought of in a similar fashion for a function (see limit of a function). For ...
and
limit inferior In mathematics, the limit inferior and limit superior of a sequence can be thought of as limiting (that is, eventual and extreme) bounds on the sequence. They can be thought of in a similar fashion for a function (see limit of a function). For ...
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; or equivalently 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 + ⋯ In mathematics, , also written , , or simply , is a divergent series. Nevertheless, it is sometimes imputed to have a value of , especially in physics. This value can be justified by certain mathematical methods for obtaining values from diverge ...
) diverges, the second (the one central to the
Basel problem The Basel problem is a problem in mathematical analysis with relevance to number theory, concerning an infinite sum of inverse squares. It was first posed by Pietro Mengoli in 1650 and solved by Leonhard Euler in 1734, and read on 5 December 1735 ...
) converges absolutely and the third (the
alternating harmonic series In mathematics, the harmonic series is the infinite series formed by summing all positive unit fractions: \sum_^\infty\frac = 1 + \frac + \frac + \frac + \frac + \cdots. The first n terms of the series sum to approximately \ln n + \gamma, where ...
) converges conditionally. However, the term-by-term magnitude ratios \left, \frac\ of the three series are 1,   \frac    and   \frac. So, in all three, the limit \lim_\left, \frac\ 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 r=\liminf_\left, \frac\>1. We also suppose that (a_n) has infinite non-zero members, otherwise the series is just a finite sum hence it converges. Then there exists some \ell\in(1;r) such that there exists a natural number n_0\ge2 satisfying a_\ne0 and \left, \frac\>\ell for all n\ge n_0, because if no such \ell exists then there exists arbitrarily large n satisfying \left, \frac\<\ell for every \ell\in(1;r), then we can find a subsequence \left(a_\right)_^\infty satisfying \limsup_\left, \frac \\le\ell, but this contradicts the fact that r is the
limit inferior In mathematics, the limit inferior and limit superior of a sequence can be thought of as limiting (that is, eventual and extreme) bounds on the sequence. They can be thought of in a similar fashion for a function (see limit of a function). For ...
of \left, \frac\ as n\to\infty, implying the existence of \ell. Then we notice that for n\ge n_0+1, , a_n, > \ell, a_, >\ell^2, a_, >...>\ell^\left, a_\. Notice that \ell>1 so \ell^n\to\infty as n\to\infty and \left, a_\>0, this implies (a_n) diverges so the series \sum_^\infty a_n diverges by the
n-th term test In mathematics, the ''n''th-term test for divergenceKaczor p.336 is a simple test for the divergence of an infinite series:If \lim_ a_n \neq 0 or if the limit does not exist, then \sum_^\infty a_n diverges.Many authors do not name this test or ...
.
Now suppose R=\limsup_\left, \frac\<1. Similar to the above case, we may find a natural number n_1 and a c\in(R;1) such that , a_n, \le c^\left, a_\ for n\ge n_1. Then \sum_^\infty , a_n, =\sum_^, a_k, +\sum_^\infty , a_n, \le\sum_^, a_k, +\sum_^\infty c^, a_, =\sum_^, a_k, +\left, a_\\sum_^\infty c^n. The series \sum_^\infty c^n is the
geometric series In mathematics, a geometric series is a series (mathematics), series summing the terms of an infinite geometric sequence, in which the ratio of consecutive terms is constant. For example, 1/2 + 1/4 + 1/8 + 1/16 + ⋯, the series \tfrac12 + \tfrac1 ...
with common ratio c\in(0;1), hence \sum_^\infty c^n=\frac which is finite. The sum \sum_^, a_k, is a finite sum and hence it is bounded, this implies the series \sum_^\infty , a_n, converges by the
monotone convergence theorem In the mathematical field of real analysis, the monotone convergence theorem is any of a number of related theorems proving the good convergence behaviour of monotonic sequences, i.e. sequences that are non- increasing, or non- decreasing. In its ...
and the series \sum_^\infty a_n converges by the absolute convergence test.
When the limit \left, \frac\ exists and equals to L then r=R=L, 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. 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 Augustus De Morgan (27 June 1806 – 18 March 1871) was a British mathematician and logician. He is best known for De Morgan's laws, relating logical conjunction, disjunction, and negation, and for coining the term "mathematical induction", the ...
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 Joseph Ludwig Raabe (15 May 1801 in Brody, Galicia – 22 January 1859 in Zürich, Switzerland) was a Swiss mathematician. Life As his parents were quite poor, Raabe was forced to earn his living from a very early age by giving private lesson ...
. 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 Joseph Louis François Bertrand (; 11 March 1822 – 5 April 1900) was a French mathematician whose work emphasized number theory, differential geometry, probability theory, economics and thermodynamics. Biography Joseph Bertrand was the son of ...
and
Augustus De Morgan Augustus De Morgan (27 June 1806 – 18 March 1871) was a British mathematician and logician. He is best known for De Morgan's laws, relating logical conjunction, disjunction, and negation, and for coining the term "mathematical induction", the ...
. 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 Iteration is the repetition of a process in order to generate a (possibly unbounded) sequence of outcomes. Each repetition of the process is a single iteration, and the outcome of each iteration is then the starting point of the next iteration. ...
of
natural logarithm The natural logarithm of a number is its logarithm to the base of a logarithm, base of the e (mathematical constant), mathematical constant , which is an Irrational number, irrational and Transcendental number, transcendental number approxima ...
, 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 The birth–death process (or birth-and-death process) is a special case of continuous-time Markov process where the state transitions are of only two types: "births", which increase the state variable by one and "deaths", which decrease the stat ...
.


5. Gauss's test

This extension is due to
Carl Friedrich Gauss Johann Carl Friedrich Gauss (; ; ; 30 April 177723 February 1855) was a German mathematician, astronomer, geodesist, and physicist, who contributed to many fields in mathematics and science. He was director of the Göttingen Observatory and ...
. 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 Ernst Eduard Kummer (29 January 1810 – 14 May 1893) was a German mathematician. Skilled in applied mathematics, Kummer trained German army officers in ballistics; afterwards, he taught for 10 years in a '' gymnasium'', the German equivalent of h ...
. 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 In mathematics, the Taylor series or Taylor expansion of a function is an infinite sum of terms that are expressed in terms of the function's derivatives at a single point. For most common functions, the function and the sum of its Taylor ser ...
expansion for large n we arrive at the
approximation An approximation is anything that is intentionally similar but not exactly equal to something else. Etymology and usage The word ''approximation'' is derived from Latin ''approximatus'', from ''proximus'' meaning ''very near'' and the prefix ...
::\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 In mathematics, a telescoping series is a series whose general term t_n is of the form t_n=a_-a_n, i.e. the difference of two consecutive terms of a sequence (a_n). As a consequence the partial sums of the series only consists of two terms of (a_n ...
:\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 In mathematics, the comparison test, sometimes called the direct comparison test to distinguish it from similar related tests (especially the limit comparison test), provides a way of deducing whether an infinite series or an improper integral c ...
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.


Frink's ratio test

Another ratio test that can be set in the framework of Kummer's theorem was presented by Orrin Frink 1948. Suppose a_n is a sequence in \mathbb\setminus\, * If \limsup_\Big(\frac\Big)^n<\frac1e , then the series \sum_na_n converges absolutely. * If there is N\in\mathbb such that \Big(\frac\Big)^n\geq\frac1e for all n\geq N, then \sum_n, a_n, diverges. This result reduces to a comparison of \sum_n, a_n, with a
power series In mathematics, a power series (in one variable) is an infinite series of the form \sum_^\infty a_n \left(x - c\right)^n = a_0 + a_1 (x - c) + a_2 (x - c)^2 + \dots where ''a_n'' represents the coefficient of the ''n''th term and ''c'' is a co ...
\sum_n n^, and can be seen to be related to Raabe's test.


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 In mathematics, the root test is a criterion for the convergence (a convergence test) of an infinite series. It depends on the quantity :\limsup_\sqrt where a_n are the terms of the series, and states that the series converges absolutely if t ...
*
Radius of convergence In mathematics, the radius of convergence of a power series is the radius of the largest Disk (mathematics), disk at the Power series, center of the series in which the series Convergent series, converges. It is either a non-negative real number o ...


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)