Lecture 18: analytic continuation
In the first unit of this class, we were often concerned with what happens to a function as we move along a path. In particular, if the path came back to the same point and had a different value, that meant that the function couldn’t be continuous everywhere, which presented a problem; we saw how to repair this sort of defect with branch cuts, and how to view these functions as continuous on a Riemann surface.
We return to this idea, now thinking about analytic functions and with all the machinery we’ve built up to study them. Now, we know that we can write an analytic function as a power series; so instead of keeping track of just the value of the function as we move along a path, we’ll keep track of how the power series expansion changes.
Let’s be more precise. Let be a path in a domain , and be an analytic function on . Set and , so that this is a path from to . Since is analytic, we can expand it as a Taylor series about any point .
The first thing to observe is that the radius of convergence of at continuously depends on . In fact, the radius of convergence of the power series of around a point depends continuously on , so the previous claim follows so long as is continuous. Indeed, let for now be any other point, which we imagine to be close to . Since is the distance from to the closest point to to which does not extend analytically, and likewise is the distance from to the closest point to to which does not extend analytically. Then (since is by definition at least as close to as ) and . Exchanging and , we likewise have , so we find that . (Here if both radii are infinite, we say that the difference is .) This is the definition of being a continuous function!
Thus for our path , we can consider the disks of convergence along , which vary continuously. This lets us define a domain containing and on which is analytic. Without this sort of technique, this may be difficult: the only other natural method is to take a disk around , but we may run into poles of our function before reaching . By choosing our path carefully, under favorable conditions we can avoid the poles to travel from to .
Let’s now back up and make some definitions. If is analytic on a neighborhood of , we say that it is analytically continuable along if for every , is analytic at , and for close enough that the disks on which and are analytic have some intersection, the corresponding power series agree on these intersections. Then for and close enough that the power series for near converges at , by our results from last time the power series at is actually determined by that at , since the values of on a neighborhood of are determined by this power series. Moving continuously along , we see that everything is determined by the power series at the initial point .
We refer to the collection of power series for at each as the analytic continuation of along , and the power series at as the analytic continuation of to along . Then we have shown the following:
Proposition.
The analytic continuation of along is unique if it exists, and the coefficients of the power expansion of at and the radius of convergence depend continuously on .
As a corollary, the analytic continuation of to along depends only on , , and . It is interesting to ask when it is independent of .
Let be a domain, and suppose that is analytic on , and is a path contained in . We claim that the analytic continuation of from to is independent of . The rough idea is that because is well-defined and analytic everywhere in , by some sort of uniqueness theorem we should be able to show that the analytic continuation to is just the expected, well-defined power series at .
The first thing that comes to mind is the identity theory for Taylor series, which showed that if and are analytic on a disk and agree on a smaller disk, then they must agree on the larger disk as well. However, need not be a disk. Instead, we can use some of the results we proved last time, coming from the study of zeros of analytic functions: we showed that if and are analytic on any domain and agree on some subset with at least one non-isolated point, then on the whole domain . This now suffices: fix once and for all a choice of, for every , a path from to , with the trivial path and , and let be the analytic continuation of along to , which by construction is analytic at . Then on a neighborhood of , so everywhere, i.e. no matter what paths we choose, the analytic continuation is unique.
This is what we will most often mean by “the” analytic continuation of a function: if is analytic (e.g. given by a power series) and is some larger domain, an analytic function whose restriction to agrees with is the analytic continuation of to . This is necessarily unique, per the above. Typical examples include analytic formulae for power series which extend to all of away from a finite set of points, such as
the right-hand side gives the analytic continuation of the left-hand side to . We’ll revisit this below.
However, it is often interesting to look at cases where the analytic continuation does depend on the path. This might seem contradictory, since we mostly care about analytic functions, but recall the setup for branch cuts: if we take a path from to itself which crosses a branch cut, then we expect that at the start does not agree with at the end.
Consider the example , the principal branch of the square root; more precisely, , making a branch cut along some ray from the origin.
Consider the path for , from to itself in a loop around the origin. At , is analytic, with series expansion
(there exists a precise formula for the coefficients, but it is a little annoying to write down so we stick with the first few terms by computing derivatives). We can likewise find the power expansion at , which we write as
Therefore at we find
is the opposite branch of the square root, just like we found when studying branches and phase factors. Note that this does not contradict the result above because there is no way to make analytic on all of , or even any domain in containing : in order for to be continuous we have to exclude some branch cut from to , which will necessarily cross the path .
Even if is not known to be analytic on all of , as in this example, just as for branch cuts or integrals we can deform the paths: just as for the deformation theorems, if we can continuously vary between two paths and while holding the endpoints , constant, then the analytic continuation of to along and along agree. This is sometimes called the monodromy theorem, and can be useful for calculating analytic continuations along weird paths, by deforming them to simpler ones.
More generally, if is analytic away from some isolated set of singularities, at any fixed point we can only define by a power series at in a disk of finite radius; sometimes we will talk about the analytic continuation of to (other than the singularities) as the (necessarily unique, as above!) analytic function on whose restriction to the disk is this power series. We return to our simple example from above: the geometric series
near . If we define this to be our function, it is only well-defined on . However, when we know that it satisfies the rule
since in fact , so by the permanence principle for functional equations we know that if extends to an analytic function on (minus some isolated set of points), it must still satisfy this equation, i.e.
is the unique extension of to . Note that if we plugged in some with into the original definition, we would still get something ill-defined: e.g. at , we have
which plainly does not converge. This is one technique sometimes used to assign values to divergent sums. Indeed, in the example above the partial sums alternate between and , so in some sense it is reasonable to say that if it were to converge, the right value would be .
However, if we were to plug in e.g. , we would get by this method
which is plainly absurd, so don’t take this method too seriously. It is also not hard to find different functions obtaining the same sums by analytic continuation. Indeed, even for the first, relatively reasonable-looking example above, consider
which converges for . If we were to evaluate at via the method above, we would get
assigning a different value to the same divergent sum.
It is however a very important method for defining functions on minus an isolated set, or more generally on larger domains, which might initially be defined by series—or even integrals—convergent on a smaller region. Another important example is the gamma function
which converges when has real part greater than . By integration by parts, one can show
so in turn . This lets us define on points with negative real part: for example, , not a priori defined, is given by the above formula with : .
One can calculate , so by the iterative rule , , , and so on: by induction we see that . However, at there is a pole, so by the rule above also has a pole at every negative integer. Other than at these points, though, this lets us extend to an analytic function on .