Real Analysis 18 | Leibniz Criterion [dark version]
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Leibniz Criterion is a sufficient convergence test for alternating series .
Briefing
Leibniz Criterion (also called the alternating series test or Leibniz’s test) supplies the missing sufficient condition for when an infinite series with alternating signs actually converges. The key idea is that alternating terms can “cancel” enough to overcome divergence that would occur if all terms were added with the same sign—something the harmonic series illustrates starkly: the partial sums of grow without bound even though . In other words, having terms that go to zero is necessary for convergence but not sufficient.
The criterion’s visualization flips the harmonic picture by alternating rectangle areas: positive contributions and negative contributions alternate, so the running total no longer drifts monotonically upward. Formally, start with a sequence that decreases monotonically to zero. Consider the alternating series . Leibniz Criterion guarantees that the sequence of partial sums converges to a finite real limit.
The proof strategy turns the partial sums into two subsequences—one capturing the even indices and one capturing the odd indices. Because is nonnegative and monotonically decreasing, the even-indexed partial sums form a monotone decreasing sequence, while the odd-indexed partial sums form a monotone increasing sequence. Moreover, the two subsequences squeeze each other: comparing and shows their difference is exactly , which is . This yields inequalities that bound both subsequences.
Once both subsequences are monotone and bounded, each must converge by the monotone convergence criterion for sequences. The remaining step uses the fact that the gap between the two subsequences is , which tends to zero as . That forces the two subsequential limits to coincide, so the entire sequence of partial sums converges to a single real number . The result matches the intuition from the rectangle picture: alternating signs create a controlled oscillation whose amplitude shrinks to zero.
A concrete application closes the lesson: the series fits the criterion because decreases to zero. Therefore the series converges (even though its sum is not computed directly). The practical takeaway is straightforward: when a series alternates and the magnitudes decrease monotonically to zero, Leibniz Criterion provides convergence without needing to evaluate the limit explicitly.
Cornell Notes
Leibniz Criterion gives a convergence test for alternating series . If is nonnegative, monotonically decreasing, and , then the partial sums converge to a finite real number. The proof splits into even and odd subsequences: even partial sums decrease, odd partial sums increase, and the two subsequences are bounded and squeeze together. The shrinking gap between them equals , which goes to zero, forcing both subsequences to share the same limit. This makes the test a reliable way to confirm convergence without computing the sum.
Why does the harmonic series fail even though its terms go to zero?
What conditions on make Leibniz Criterion work for ?
How do even and odd partial sums behave in the proof?
How does the proof show the two subsequences squeeze each other?
Why does convergence of force the whole series to converge?
How is Leibniz Criterion applied to ?
Review Questions
- State Leibniz Criterion precisely: what three properties must satisfy for an alternating series to converge?
- In the proof, why are the even-indexed partial sums monotone decreasing and the odd-indexed partial sums monotone increasing?
- For an alternating series , what quantity measures the gap between the even and odd subsequential limits, and why does it go to zero?
Key Points
- 1
Leibniz Criterion is a sufficient convergence test for alternating series .
- 2
If , is monotonically decreasing, and , then the partial sums converge.
- 3
Alternating signs can create cancellation strong enough to turn a would-be divergent “positive-only” behavior into convergence.
- 4
The proof splits partial sums into even and odd subsequences, which become monotone (one decreasing, one increasing).
- 5
Both subsequences are bounded, so each converges by the monotone convergence criterion for sequences.
- 6
The difference between the even and odd subsequences equals , which tends to zero, forcing a common limit.
- 7
A series like converges because decreases to zero.