Alternating Series and Error Control
Distinguish absolute from conditional convergence and bound a valid alternating remainder.
Builds on Ratio and Root Tests
The bigger question: Can infinitely many contributions have a finite total?
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Cancellation can produce convergence
If decreases eventually to zero, the alternating series converges. Pairing consecutive terms shows that even and odd partial sums approach a common limit from opposite sides. The eventual decrease and zero limit are both needed for this test.
Absolute convergence means converges and guarantees convergence of . Conditional convergence means the signed series converges but its absolute-value series diverges. This distinction affects operations such as rearranging terms: arbitrary rearrangements preserve absolutely convergent sums, but not generally conditionally convergent sums.
Visual guide
- Limit ln 2
Worked example: alternating harmonic series
The magnitudes decrease to zero, so converges. Its absolute-value series is the divergent harmonic series. Therefore convergence is conditional.
The alternating remainder bound is when the alternating-test hypotheses apply from the relevant tail onward. To guarantee error at most , choosing suffices because the next magnitude is . This bound is conservative and does not require knowing the sum.
Try it yourself.
Choose an answer and explain your reasoning to yourself. Use a hint if you get stuck.
Hint 1 · Find a starting point
Use the alternating-series remainder estimate.
Hint 2 · Take the next step
The omitted terms partly cancel each other.
Show the reasoning
Answer: At most the next term’s magnitude
The error magnitude is bounded above by aₙ₊₁; equality is not generally true.
Before moving on: what would make one of the other answers wrong? Saying why is part of understanding.
Worked example: absolute convergence first
For , taking absolute values produces a convergent -series. Thus the original series converges absolutely. The alternating bound also applies and is sharper here than the positive-series integral bound: after terms, its error is at most .
A sequence of small terms with changing signs is not automatically an alternating series. The theorem applies to a strict alternating tail with decreasing magnitudes. Check the pattern and hypotheses before quoting the next-term error bound.
Practice
- Classify .
- Bound the error after terms of .
- Does converge?
Show worked solutions
- Conditionally: the alternating test works, but the absolute series has and diverges.
- At most . The next term is positive, so the sum is above the even partial sum.
- No. Magnitudes approach , so the terms do not approach zero.
Pause before the next idea.
Can you explain how the visualization connects to this lesson’s goal? If a step still feels uncertain, put this lesson on your review list and try the check again another day.