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Alternating series test
In mathematical analysis, the alternating series test proves that an alternating series is convergent when its terms decrease monotonically in absolute value and approach zero in the limit.
Alternating series test
In mathematical analysis, the alternating series test proves that an alternating series is convergent when its terms decrease monotonically in absolute value and approach zero in the limit. The test was devised by Gottfried Leibniz and is sometimes known as Leibniz's test, Leibniz's rule, or the Leibniz criterion. The test is only sufficient, not necessary, so some convergent alternating series may fail the first part of the test.
For a generalization, see Dirichlet's test.
History
Leibniz discussed the criterion in his unpublished De quadratura arithmetica of 1676 and shared his result with Jakob Hermann in June 1705 and with Johann Bernoulli in October, 1713. It was only formally published in 1993.
Alternating series test
A series of the form
\[\sum_{n=0}^\infty (-1)^{n} a_n = a_0-a_1 + a_2 - a_3 + \cdots\]
where either all an are positive or all an are negative, is called an alternating series.
The alternating series test guarantees that an alternating series converges if the following two conditions are met:
- \(|a_n|\) decreases monotonically, i.e., \(|a_{n+1}|\leq|a_n|\), and
- \(\lim_{n \to \infty} a_n = 0\) .
Alternating series estimation theorem
Moreover, let L denote the sum of the series, then the partial sum \(S_k = \sum_{n=0}^k (-1)^{n} a_n\!\) approximates L with error bounded by the next omitted term:
\[\left | S_k - L \right \vert \le \left | S_k - S_{k+1} \right \vert = a_{k+1}.\!\]
Proof
Suppose we are given a series of the form \(\sum_{n=1}^\infty (-1)^{n-1} a_n\!\), where \(\lim_{n\rightarrow\infty}a_{n}=0\) and \(a_n \geq a_{n+1}\) for all natural numbers n. (The case \(\sum_{n=1}^\infty (-1)^{n} a_n\!\) follows by taking the negative.)
Proof of the alternating series test
We will prove that both the partial sums \(S_{2m+1}=\sum_{n=1}^{2m+1} (-1)^{n-1} a_n\) with odd number of terms, and \(S_{2m}=\sum_{n=1}^{2m} (-1)^{n-1} a_n\) with even number of terms, converge to the same number L. Thus the usual partial sum \(S_k = \sum_{n=1}^k (-1)^{n-1} a_n\) also converges to L.
The odd partial sums decrease monotonically:
\[S_{2(m+1)+1}=S_{2m+1}-a_{2m+2}+a_{2m+3} \leq S_{2m+1}\]
while the even partial sums increase monotonically:
\[S_{2(m+1)}=S_{2m}+a_{2m+1}-a_{2m+2} \geq S_{2m}\]
both because an decreases monotonically with n.
Moreover, since an are positive, \(S_{2m+1}-S_{2m}=a_{2m+1} \geq 0\). Thus we can collect these facts to form the following suggestive inequality:
Condensed: the full section is in Wikipedia.
Proof of the alternating series estimation theorem
We would like to show \(\left| S_k - L \right| \leq a_{k+1}\!\) by splitting into two cases.
When k = 2m+1, i.e. odd, then
\[\left| S_{2m+1} - L \right| = S_{2m+1} - L \leq S_{2m+1} - S_{2m+2} = a_{(2m+1)+1} .\]
When k = 2m, i.e. even, then
\[\left| S_{2m} - L \right| = L - S_{2m} \leq S_{2m+1} - S_{2m} = a_{2m+1}\]
as desired.
Both cases rely essentially on the last inequality derived in the previous proof.
A typical example
The alternating harmonic series
\[\sum_{n=1}^\infty\frac{(-1)^{n+1}}{n}=1-\frac{1}{2}+\frac{1}{3}-\frac{1}{4}+\frac{1}{5}-\cdots\]
meets both conditions for the alternating series test and converges.
Monotonicity is needed
Both conditions in the test must be met for the conclusion to be true. For example, take the series
\[\frac{1}{\sqrt{2}-1}-\frac{1}{\sqrt{2}+1}+\frac{1}{\sqrt{3}-1}-\frac{1}{\sqrt{3}+1}+\cdots\ .\]
The signs are alternating and the terms tend to zero. However, monotonicity is not present and we cannot apply the test. Actually, the series is divergent. Indeed, for the partial sum \(S_{2n}\) we have \(S_{2n}=\frac{2}{1}+\frac{2}{2}+\frac{2}{3}+\cdots+\frac{2}{n-1}\) which is twice the partial sum of the harmonic series, which is divergent. Hence the original series is divergent.
The test is sufficient, but not necessary
Leibniz test's monotonicity is not a necessary condition, thus the test itself is only sufficient, but not necessary.
Examples of nonmonotonic series that converge are:
\[\sum_{n=2}^\infty \frac{(-1)^n}{n+(-1)^n}\quad\text{and}\quad\sum_{n=1}^{\infty} (-1)^n\frac{\cos^2n}{n^2}\ .\]
In fact, for every monotonic series it is possible to obtain an infinite number of nonmonotonic series that converge to the same sum by permuting its terms with permutations satisfying the condition in Agnew's theorem.
Now you No calculator settles this one, but the pieces of it are computable. Try one below, or type your own.
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Questions people ask
What is the ε, δ definition actually saying?
That you can make the output as close to the limit as anyone demands (within ε) by keeping the input close enough (within δ). It replaces "approaches" with a challenge-and-response that can be checked.
Why does the harmonic series diverge when its terms go to zero?
Because the terms shrink too slowly: group them as 1/3 + 1/4 > 1/2, 1/5 + … + 1/8 > 1/2, and so on: infinitely many halves.
Parts of this page are adapted from Wikipedia (CC BY-SA 4.0). Condensed and re-explained here; errors are ours.
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