Alternating Series Test

The Alternating Series Test determines whether a series with alternating signs converges when its terms decrease monotonically to zero.

(1)nbn converges if bn0\sum (-1)^n b_n \text{ converges if } b_n \downarrow 0

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What each symbol means

What Alternating Series Test takes
bnb_n
nn
Alternating Series Test
SymbolMeaning
bnb_nThe sequence of positive terms in the series; each bnb_n must be positive, decreasing, and approach zero for the test to apply, or the test tells you nothing about convergence.
nnThe index or counter variable starting at 1 or 0, indicating which term of the series you are examining; do not confuse it with the coefficient (1)n(-1)^n or with the value of each term itself.

When to use it

Use this test when you have a series with alternating signs and need to check if it converges.

Level

Usually taught in: Calculus II

Worked examples

1. Alternating harmonic series

Problem

Does the series n=1(1)n1n\sum_{n=1}^{\infty} (-1)^n \frac{1}{n} converge or diverge?
  1. bn=1nb_n = \frac{1}{n}

    We identify bnb_n as the positive part of each term by extracting the (1)n(-1)^n factor and isolating 1/n1/n.

  2. 11>12>13>14>\frac{1}{1} > \frac{1}{2} > \frac{1}{3} > \frac{1}{4} > \cdots

    We verify that bnb_n is strictly decreasing because as nn grows, the denominator increases, making the fraction smaller.

  3. limn1n=0\lim_{n \to \infty} \frac{1}{n} = 0

    We check that the limit of bnb_n is zero; as nn \to \infty, the reciprocal 1/n1/n approaches zero.

  4. Both conditions holdn=1(1)n1n converges\text{Both conditions hold} \Rightarrow \sum_{n=1}^{\infty} (-1)^n \frac{1}{n} \text{ converges}

    Since bnb_n is positive, decreasing, and approaches zero, the Alternating Series Test guarantees convergence.

Answer: n=1(1)n1n converges\sum_{n=1}^{\infty} (-1)^n \frac{1}{n} \text{ converges}

This is the alternating harmonic series. Although the standard harmonic series 1/n\sum 1/n diverges, the alternating version converges because the alternating signs create cancellation. The Alternating Series Test directly proves convergence without requiring us to compute the sum.

2. Series failing the limit condition

Problem

Does n=1(1)n2n+13n+2\sum_{n=1}^{\infty} (-1)^n \frac{2n+1}{3n+2} converge?
  1. bn=2n+13n+2b_n = \frac{2n+1}{3n+2}

    We extract the positive part by identifying (1)n(-1)^n for alternation and bn=2n+13n+2b_n = \frac{2n+1}{3n+2} as the magnitude.

  2. limn2n+13n+2=limn2+1n3+2n=23\lim_{n \to \infty} \frac{2n+1}{3n+2} = \lim_{n \to \infty} \frac{2 + \frac{1}{n}}{3 + \frac{2}{n}} = \frac{2}{3}

    We compute the limit by dividing numerator and denominator by nn; the limit is 2/32/3, not zero.

  3. bn↛0Alternating Series Test failsb_n \not\to 0 \Rightarrow \text{Alternating Series Test fails}

    The Alternating Series Test requires bn0b_n \to 0, but this sequence approaches 2/302/3 \neq 0, so we cannot use this test.

  4. By Divergence Test, if bn↛0 then bn diverges\text{By Divergence Test, if } b_n \not\to 0 \text{ then } \sum b_n \text{ diverges}

    The Divergence Test states that if the terms of any series do not approach zero, the series must diverge.

Answer: n=1(1)n2n+13n+2 diverges\sum_{n=1}^{\infty} (-1)^n \frac{2n+1}{3n+2} \text{ diverges}

The first necessary condition for any series to converge is that its terms must approach zero. This series fails that requirement, so it diverges regardless of alternating signs. The Divergence Test immediately resolves the question without needing to check other conditions.

3. Alternating profit in a coffee shop

Problem

A coffee shop's daily profit over many days has magnitude 100, 50, 25, 12.50, ... dollars, alternating between profit and loss. Does the cumulative profit converge to a finite value?
  1. n=1(1)n+11002n1,bn=1002n1\sum_{n=1}^{\infty} (-1)^{n+1} \frac{100}{2^{n-1}}, \quad b_n = \frac{100}{2^{n-1}}

    The series has form (1)n+1(-1)^{n+1} (positive on odd days, negative on even). We identify bn=1002n1b_n = \frac{100}{2^{n-1}} as the daily magnitude.

  2. b1=10020=100,b2=10021=50,b3=10022=25,b4=10023=12.5b_1 = \frac{100}{2^0} = 100, \quad b_2 = \frac{100}{2^1} = 50, \quad b_3 = \frac{100}{2^2} = 25, \quad b_4 = \frac{100}{2^3} = 12.5

    The first few terms show a strictly decreasing sequence: each term is exactly half the previous term.

  3. limn1002n1=0\lim_{n \to \infty} \frac{100}{2^{n-1}} = 0

    As nn \to \infty, the denominator 2n12^{n-1} grows exponentially, so the fraction approaches zero.

  4. Both bn0 and alternatingseries converges\text{Both } b_n \downarrow 0 \text{ and alternating} \Rightarrow \text{series converges}

    All conditions of the Alternating Series Test are satisfied: bnb_n is positive, decreasing, and approaches zero.

Answer: n=1(1)n+11002n1 converges to 2003\sum_{n=1}^{\infty} (-1)^{n+1} \frac{100}{2^{n-1}} \text{ converges to } \frac{200}{3}

Real-world quantities like profit, error, or temperature change often follow alternating patterns that decay. The Alternating Series Test applies whenever magnitudes decrease monotonically to zero, guaranteeing a finite total. Here the cumulative profit approaches exactly 2003\frac{200}{3} dollars, even though individual days alternate and shrink without bound.

Common mistakes

Where Alternating Series Test usually goes wrong
Answer came out wrong
Checking only that limbn=0\lim b_n = 0 and skipping the monotonicity condition.
Always verify two separate facts: first that bn0b_n \to 0, and second that b1>b2>b3>b_1 > b_2 > b_3 > \cdots holds for all nn. Both conditions must hold simultaneously.
Concluding that the series converges absolutely after the Alternating Series Test succeeds.
To test absolute convergence, separately analyze bn\sum b_n using the Ratio Test, Integral Test, or Comparison Test. Do not assume the alternating version's convergence implies the positive version converges.
Applying the test to a series that is not alternating or misidentifying bnb_n as including the sign.
Before applying the test, confirm the series has the form (1)nbn\sum (-1)^n b_n or (1)n+1bn\sum (-1)^{n+1} b_n and that bnb_n is always positive. Separate the sign factor from the magnitude cleanly.
The mistakeWhy it is wrongThe fix
Checking only that limbn=0\lim b_n = 0 and skipping the monotonicity condition.A sequence can approach zero without being monotonically decreasing; it could oscillate, fluctuate unpredictably, or approach zero from above and below. The Alternating Series Test requires both bn0b_n \to 0 AND bnb_n strictly decreasing.Always verify two separate facts: first that bn0b_n \to 0, and second that b1>b2>b3>b_1 > b_2 > b_3 > \cdots holds for all nn. Both conditions must hold simultaneously.
Concluding that the series converges absolutely after the Alternating Series Test succeeds.The Alternating Series Test proves convergence of (1)nbn\sum (-1)^n b_n itself, not that (1)nbn=bn\sum |(-1)^n b_n| = \sum b_n converges. A series can converge conditionally (alternating version converges) while failing absolute convergence (positive version diverges).To test absolute convergence, separately analyze bn\sum b_n using the Ratio Test, Integral Test, or Comparison Test. Do not assume the alternating version's convergence implies the positive version converges.
Applying the test to a series that is not alternating or misidentifying bnb_n as including the sign.The test is specific to alternating series of the form (1)nbn\sum (-1)^n b_n where bn>0b_n > 0. If the series lacks consistent alternation, or if you accidentally fold the sign into bnb_n so that bnb_n takes both positive and negative values, the test framework collapses.Before applying the test, confirm the series has the form (1)nbn\sum (-1)^n b_n or (1)n+1bn\sum (-1)^{n+1} b_n and that bnb_n is always positive. Separate the sign factor from the magnitude cleanly.

Tips and when to use something else

  • Check both conditions: bnb_n must be strictly decreasing (not just eventually decreasing) and must approach zero. One without the other is insufficient.
  • The Alternating Series Test guarantees convergence of the series but not absolute convergence. If you need absolute convergence, apply the Ratio Test or Integral Test to bn\sum b_n instead.
  • When bnb_n fails to approach zero, apply the Divergence Test immediately—you do not need to check monotonicity or any other condition, and the series diverges.
  • Compare with the Ratio Test when dealing with factorials or exponential terms; the Ratio Test often detects convergence or divergence faster than verifying monotonicity by hand.

Frequently asked questions

What is the difference between the Alternating Series Test and the Ratio Test?
The Alternating Series Test only applies to series with alternating signs and determines convergence of the series itself. The Ratio Test works on any series and tests absolute convergence. If your series has alternating signs, apply the Alternating Series Test first; if you need absolute convergence or the series does not alternate, use the Ratio Test instead.
Does the Alternating Series Test tell me the sum of the series?
No, it only guarantees that a finite sum exists. To find the actual sum value, you need other methods such as recognizing a geometric series, using a Taylor series expansion, or computing partial sums. The test is purely a convergence/divergence result.
What does bn0b_n \downarrow 0 mean?
The notation bn0b_n \downarrow 0 means the sequence bnb_n is monotonically decreasing (each term is strictly smaller than the previous one) and the limit as nn \to \infty is zero. Both the decreasing property and the zero limit are required; the arrow symbol compresses both conditions into one compact notation.
Can I use the Alternating Series Test on n=1(1)n+1n2\sum_{n=1}^{\infty} \frac{(-1)^{n+1}}{n^2}?
Yes. Here bn=1/n2b_n = 1/n^2, which is positive, strictly decreasing (since 1>1/4>1/9>1/16>1 > 1/4 > 1/9 > 1/16 > \cdots), and approaches zero. All conditions are satisfied, so the series converges by the Alternating Series Test. This is also an example of absolute convergence, since 1/n2\sum 1/n^2 converges as a pp-series.

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Reviewed 2026-09-18