Infinite Sequences and Series/The Convergence Tests

Lesson 9.3980 words

The Convergence Tests

The comparison, alternating-series, ratio, and root tests decide convergence without a closed-form partial sum. Absolute convergence is stronger than conditional convergence and is preserved under rearrangement; an alternating series errs by less than its first omitted term.

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The Integral Test needs an antiderivative, which most series do not offer. The comparison, alternating, ratio, and root tests need none: each reads convergence off the general term directly, by comparison with a known series, by the sign pattern, or by the ratio of consecutive terms.

The Comparison Test

If a series of positive terms is dominated term by term by a convergent series, its partial sums are bounded, so it converges too. The reverse comparison forces divergence.

The proof is the Monotonic Sequence Theorem again. With and , positivity makes both increasing. If then , so is bounded above and converges. The divergent case is the contrapositive.

Term-by-term comparison: the tested series (dark) sits under a convergent series (light) whose terms cap it at every index, so its partial sums stay bounded.

For comparison the two standard families supply the reference series:

  • a -series converges iff ;
  • a geometric series converges iff .

The direction matters. To conclude convergence the terms must be smaller than a convergent series; being smaller than a divergent one says nothing. The next test removes that restriction.

The Limit Comparison Test

The inequality version fails on series like : the natural comparison points the wrong way. Comparing limits of the ratio sidesteps the issue.

If the ratio settles to a positive finite , the two series are the same size for large , so they converge or diverge together. For , compare with :

and since converges, so does the given series. In practice, build by keeping only the highest powers of in numerator and denominator.

Alternating series

A series whose terms alternate in sign,

converges under a light condition: the magnitudes need only decrease to zero.

The partial sums step right by , left by , right by , and so on. Because the steps shrink, the even partial sums increase while the odd ones decrease, and the two bracket a common limit from below and above.

Partial sums of an alternating series close in on the sum from both sides: even sums rise, odd sums fall, and each lies within one term of .

Formally, the even sums are increasing and bounded above by , so they converge to some ; the odd sums converge to the same because and . The alternating harmonic series

converges by this test (with ), even though the harmonic series itself diverges. Its sum is .

When the monotonicity of is not obvious, test the related function's derivative. For , the function has once , so eventually decreases — enough for the test.

Estimating an alternating sum

The bracketing picture also yields an error bound: since lies between and , the error in stopping at is smaller than the first term left out.

The rule error below the first omitted term is special to alternating series meeting these two conditions; it does not apply to series in general.

Absolute convergence, the Ratio Test, and the Root Test

For series with irregular signs, test the absolute values.

The proof uses : if converges then converges by comparison, and is a difference of convergent series. The alternating harmonic series converges but diverges, so it is conditionally convergent. Absolute convergence is the stronger property: it is preserved under rearrangement, whereas a conditionally convergent series can be reordered to sum to any real number (Riemann's rearrangement theorem).

Absolute convergence is a strict subset of convergence. The outer region holds every convergent series; the inner disk holds the absolutely convergent ones; the ring between them holds the conditionally convergent series, such as the alternating harmonic series.

The next two tests detect absolute convergence by measuring how fast decays.

The idea is comparison with a geometric series. If , pick with ; past some the ratios stay below , so , and the tail is dominated by a convergent geometric series. If the terms eventually grow, so and the Test for Divergence applies.

The Ratio-Test limit decides on a number line: forces absolute convergence, forces divergence, and leaves the question open.

The Ratio Test is most effective when contains factorials or constants raised to the th power, where successive terms cancel cleanly. For ,

so the series converges absolutely.

The test is useless on rational functions of : for every -series the ratio tends to .

When the general term is an th power, the Root Test is cleaner.

For , taking the th root gives , so the series converges. If the Ratio Test gives , the Root Test gives as well, and conversely; the two are inconclusive on the same series.

A strategy for testing series

There is no fixed order of tests to try; classify the series by the form of its general term and pick the matching test.

Routing a series to a test by the shape of its general term , from a quick divergence check down to comparison, ratio, root, and integral.

The classification in words:

  • at a glance: Test for Divergence.
  • : -series. : geometric.
  • rational or algebraic in : comparison or limit comparison with a -series, choosing from the highest powers.
  • Alternating signs: Alternating Series Test.
  • Factorials or th powers of a constant: Ratio Test.
  • : Root Test.
  • with tractable: Integral Test.
TestBest forKey quantity
Divergenceany, quick screen
Comparison / Limit Comparisonrational, algebraic ratio to a -series
Alternating Series; error
Ratiofactorials,
Root

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