Boundary convergence of a power series Created 2026-10-14 Updated 2026-10-18
Knowing the radius of convergence does not settle convergence on its boundary. The three power series
all have radius one, but behave differently on .
Figure 1.
The same radius of convergence permits three different behaviours on the unit circle
. Green denotes absolute convergence, orange conditional convergence, and red divergence. All three series converge absolutely in the open unit disk. On its boundary, the geometric series diverges everywhere; the series converges conditionally except at ; the series converges absolutely everywhere. Details.
For the geometric series, boundary terms all have complex modulus one, violating the term test for divergence. For the second series, absolute values give the divergent harmonic series at every boundary point. At the series itself is harmonic and diverges. At any other point on the unit circle, its geometric partial sums obey
The Dirichlet test with the decreasing sequence therefore gives conditional convergence. In particular, gives the negative of the alternating harmonic series, with sum . For the third series, the convergent p-series bounds the absolute values at every boundary point, giving absolute convergence by the comparison test for series.
At , the rational function is well defined and equals , yet its geometric series diverges there. A formula for a function and a particular series representation can have different domains. Likewise, applying termwise differentiation of a power series preserves the radius but need not preserve the boundary convergence.
If the terms of a power series at a nonzero point are bounded by , then . A convergent geometric series and the comparison test for series give absolute convergence at every point strictly inside that circle. Consequently terms at every point outside the radius of convergence must be unbounded. This conclusion is stronger than merely saying that those terms fail to tend to zero.
Convergence of the Stirling sequence Created 2026-10-18 Updated 2026-10-20
The positive sequence has logarithmic increments
The rational lower bound for the natural logarithm proves . For , the Taylor series gives
Since , a geometric series bounds for . The comparison test for series therefore proves . The finite telescoping sum shows that increases to a finite positive limit. This argument establishes the existence of the constant in Stirling's formula; its value requires an independent identification.
Geometric series Created 2026-09-24 Updated 2026-10-20
A geometric series adds the terms of a geometric progression:
Its ordinary infinite sum is the limit of a sequence of partial sums , rather than a new operation that adds infinitely many terms at once. For that are real numbers or complex numbers, if , the series is absolutely convergent and
When , this condition on the modulus of is also necessary: for the terms fail to tend to zero. The all-zero series converges for every . The finite geometric series identity and give the result with almost no extra algebra. [ref]
Figure 1.
Decaying terms, accumulating sums, and the failure of an undamped alternating series
. Details.
With and , the partial sums approach from below. Changing the common ratio to makes the partial sums approach from alternating sides: their increments still shrink. At , those increments never shrink, and the partial sums remain . Substituting into does not supply the ordinary sum of that divergent series.
The formula is useful because many apparently different problems share a fixed multiplier. A repeating decimal such as is
A geometric distribution counting failures before the first success normalizes by the same identity: for , the probabilities on add to one. The comparison test for series uses a bound by a decaying geometric progression to establish absolute convergence without an exact formula for the series being studied. The iterated contraction gives a summable orbit result uses precisely this idea for repeated applications of a map.
The remainder of a geometric series gives more than an eventual limit: it states exactly how much an approximation omits. A common ratio close to one still gives a convergent series, but can require many terms for a useful approximation.
Every occurs as the radius of convergence of a power series all of whose coefficients are positive integers. For , use the ceiling function to choose . Then
For , the comparison test for series with a geometric series proves absolute convergence. For , the bound violates the fact that terms of a convergent series tend to zero. Hence the radius of convergence is exactly .
For , use : at every the ratio of successive term absolute values is , eventually exceeding two. The factorial coefficients therefore give divergence away from zero.
A power series with every coefficient a positive integer cannot have radius of convergence greater than one: makes convergence impossible at . If zero coefficients are allowed and only finitely many are nonzero, a polynomial instead has infinite radius of convergence.
Let bound all and put . Then
The geometric series converges, so the comparison test for series proves absolute convergence of . This is the bounded power-series terms force interior absolute convergence principle.
Define the radius of convergence by
allowing and . If , the supremum supplies a point of convergence with ; convergence makes its terms bounded, so the argument above gives absolute convergence at . If , convergence is impossible by definition. At , no general conclusion follows. Thus the convergence region has a circular interior centered at zero, with boundary behavior depending on the power series.
Group three consecutive terms. Their block sum is
Since and for , we have . The comparison test for series and the preceding proof of convergence of show that converges absolutely.
This establishes convergence of the original partial sums at indices . Each intermediate partial sum differs from one of these by at most two of the original terms; those terms tend to zero. Thus all partial sums have the same limit of a sequence, which is the mechanism of convergence from fixed-length series blocks. The original series is not absolutely convergent, since its absolute-value series contains . Therefore the original series converges conditionally.
The positive terms decrease to zero. The alternating series test just proved therefore gives convergence of the signed series. It is conditional convergence: , so , and the absolute-value series dominates the divergent harmonic series.
The comparison test for series used here says that if , convergence of implies convergence of , while divergence of implies divergence of . This follows by comparing increasing partial sums. For completeness, the harmonic series diverges because every block from to has sum at least .
The absolute ratio of successive terms is . The ratio test gives convergence for and divergence for , so the radius of convergence is . On the boundary, and
The positive partial sums are bounded, and thus converge. By the comparison test for series, the original power series converges absolutely at every point of .
Suppose, towards a contradiction, that for every , where . Choose a radius strictly between and , and take any with . Then
The geometric series on the right converges because its ratio lies in . The comparison test for series therefore gives absolute convergence of the power series at , contrary to the defining property of its radius of convergence. Thus is unbounded in whenever . This is the bounded power-series terms force interior absolute convergence principle. The case has no points outside its convergence disk and the assertion is vacuous there.
Every possible radius of convergence is realized by an explicit power series:
For the first, consecutive absolute terms have ratio , so at every they eventually grow and do not tend to zero; at zero the series is defined. The middle geometric series converges absolutely exactly for , and outside that disk its terms grow. The last has consecutive-term ratio , so the ratio test gives absolute convergence for every finite . These arguments use the necessary zero-term condition for convergence, the comparison test for series, and absolute convergence of a geometric series with ratio less than one; they do not assume convergence on the boundary.
For odd , the denominator is ; for even , it is . There is no zero denominator in the printed index range. For all ,
The comparison test for series with the convergent p-series gives absolute convergence. In fact the consecutive pair contributes , so the sum is the same as . Positivity justifies this paired reordering; an alternating-sign appearance in the denominator does not make this an alternating series.
The two-variable arithmetic-geometric mean inequality follows from a square:
Hence , with equality exactly when .
For the series, apply that same inequality with and to obtain
The comparison series converges: its first summand has finite sum by hypothesis, and the inverse-square series converges, for example by the telescoping estimate for . Thus the comparison test for series proves
Equivalently, its positive partial sums are increasing and bounded above by , so the bounded monotone sequence theorem proves convergence directly. This is the case of weighted square roots of a summable sequence.
For any fixed , as . For example, l'Hôpital's rule applied to gives the limit zero. With , this implies eventually. Therefore
for all sufficiently large . The comparison series diverges by the integral test for convergence, since
The comparison test for series gives
One may obtain the same growth bound by extending the given logarithmic estimate to real through and choosing any exponent smaller than ; no special convergence test for iterated logarithms is needed.
The comparison test for series says that an eventual upper bound by a convergent positive series proves convergence, while an eventual lower bound by a divergent positive series proves divergence. The p-series converges exactly when .
If , then for all sufficiently large , so
and the series converges. If , choose . The allowed logarithmic bound, applied with exponent , gives eventually. Thus
and the series diverges.
For , use the integral test for convergence: for an eventually positive decreasing function , and either both converge or both diverge. Here is decreasing for , and the substitution gives
This integral converges exactly when . Hence the polynomial-logarithmic series convergence classification is
All other allowed positive give divergence.
A power series has radius of convergence when it converges absolutely for every and diverges for every . Its behaviour on is not specified by this definition. When , it converges at the centre and diverges at every nonzero point; an infinite radius of convergence means absolute convergence at every finite .
Suppose, towards a contradiction, that for all at some . Choose a complex number with . Then
The comparison test for series with the convergent geometric series yields absolute convergence at , contradicting the definition of . Thus terms of a power series are unbounded outside its convergence disc:
For the given power series, the ratio test gives, when ,
Hence it converges absolutely for and its terms fail to tend to zero for (the ratios are eventually larger than some number greater than ). Therefore . In fact, on it also converges absolutely by comparison with the convergent p-series .
The ratio test says that a series whose terms are eventually nonzero converges absolutely if ; in particular, it suffices to have eventually, since then its terms are bounded by a convergent geometric series. The comparison test for series states that, for nonnegative terms, comparison with a larger convergent series gives convergence, and comparison with a smaller divergent series gives divergence. For ,
By the binomial theorem, . Thus for every , and induction gives . The comparison test for series with proves
The limit comparison test says that if and with , then their series either both converge or both diverge. This follows because, eventually, , and the comparison test for series applies in both directions.
Here comparison with the harmonic series gives
For completeness, the natural logarithm grows slowly enough because for ,
so . The harmonic series diverges: every block from to has terms at least and therefore contributes at least . Hence
The alternating series test states that if decreases to zero, then converges. Indeed, its even and odd partial sums are monotone in opposite directions and bound each other, while their difference tends to zero. Here decreases to zero, so the series converges.
It fails absolute convergence, since for ,
The p-series diverges. This also follows by comparison with the divergent harmonic series, because . The comparison test for series therefore shows that diverges. Thus
First, for , the derivative of is , while . Hence .
Choose large enough that the given ratio bound holds for every . Positivity permits taking logarithms, and the preceding inequality gives
Summing, and using the integral test for convergence from part (b), gives for
Thus . Since , the P-series converges, so the comparison test for series proves
The finitely many initial terms do not affect convergence. This power-law comparison from a refined ratio bound supplies information when the ordinary ratio test can be inconclusive.
Use , the derivative identity , continuity of cosine at zero, and . For , the mean value theorem gives for a point between zero and . Hence as . For , apply this with to obtain the limit . For every term is zero.
The additional bound and the same mean value theorem give . Therefore
The right side is summable. By the comparison test for series the stated series has absolute convergence for every real .