Lecture 15: power series
Fix . A power series centered at is a series of the form
for complex numbers . By making the change of variables , we may as well assume to simplify the notation, and often do so. (Of course, we could also change the indexing to start at any nonnegative integer, corresponding to taking the first few terms to be zero; but we cannot have negative indices!)
This series may or may not converge at each point ; it always converges at , since then every term except the constant term necessarily vanishes. More generally, we have the following result.
Theorem.
For any power series , there exists such that if , the series converges absolutely; and if , it diverges. For each , the series converges uniformly on the closed disk .
This is called the radius of convergence of the series. Here we say that every real number is strictly less than .
Notably the series does not necessarily converge uniformly on the open disk . For example, for the power series , the radius of convergence is , so the series converges to whenever ; but the difference
grows without bound as . However, if we restrict to for some , then this is uniformly bounded in absolute value, by
In practice this is a bit of a technicality, and by taking arbitrarily close to we can usually ignore the difference.
Note also that the theorem has nothing to say about the convergence of the power series on the circle : here it may converge absolutely, conditionally, or diverge, depending on the series in question. For example, the geometric series diverges for every with , but a mild modification
converges conditionally at (by the alternating series test) and diverges at (where it is the harmonic series, and the further modification
converges uniformly on the closed unit disk (one can bound the terms by , whose sum converges by e.g. the integral test). All of these have radius of convergence , but different behavior on the boundary circle.
Most of this theorem should be familiar from calculus, except possibly the part about uniform convergence, which can be proven using the Weierstrass M-test.
For completeness, we mention some examples with radius of convergence different from : an easy example is something like
This is the geometric series for , which converges for , i.e. for , so the radius of convergence is . For something like the Taylor series
the series converges (absolutely) everywhere, so the radius of convergence is . In the other direction,
does not converge for any with , so its radius of convergence is .
Recall that a series is defined to be the limit of its partial sums. We are now thinking of these as functions of a complex variable , so we can ask about various properties. In particular, the partial sums of power series are polynomials, which are analytic everywhere. By the theorem above, for any the series converges uniformly to a function
on , where we’ve taken , and so is an analytic function on this region. Letting vary, we’ve proven the following:
Theorem.
Let
have radius of convergence . Then is analytic on .
We can then differentiate both sides, and on this region everything is as expected by uniform convergence: the derivative is term-by-term, i.e.
Evaluating at , we find , . Repeating for higher derivatives gives the identity
or
More generally for arbitrary , if
then
and so is equal to its Taylor series
for . In other words, we have shown that a function which is locally equal to its Taylor series—the definition of analytic functions from calculus or real analysis—is analytic in our sense (or holomorphic to avoid confusion). Next time, we will see the converse, one of the most important theorems of the class, which we have claimed but not proven: a holomorphic function is analytic in the Taylor series sense.
One can also integrate functions term by term using their Taylor series, provided we restrict to disks of radius strictly smaller than . Integration and differentiation can be used to obtain new series from old ones. For example, differentiating the geometric series gives
Finally, we mention two formulae for determining the radius of convergence, based on the ratio test and the root test respectively: if the limits
or
exist, either as (necessarily nonnegative) real numbers or as , then they are equal to .
Note that it is possible for one or both limits to fail to exist even when is well-defined (as it is for every power series). For example, consider the power series
We can understand this very simply as the geometric series for , so its radius of convergence is . However, as a power series it corresponds to if is odd and if is even; so in each formula the values are undefined in general, even after truncating a finite number of the leading terms.
There is however a more general formula which always exists:
For the example above, , and so we recover the right radius of convergence.