Lecture 3: the logarithm and power functions
1. The logarithm
Last time, we saw our first “nontrivial” example of inverting a function: the square root function as the inverse of the squaring function. We call this “nontrivial” because the squaring function is not a bijection, so in the usual sense it doesn’t have an inverse. Nevertheless, we saw we could define two partial inverses, which were continuous after forming a branch cut in the complex plane, and we could even combine these together to give a full inverse after replacing the complex plane with a more complicated surface given by gluing together two copies of the slit plane (in fact, we saw that this can be manipulated into something closely resembling the plane, via the squaring function!).
This is a common phenomenon, and we’ll see more examples today. We start by returning to the complex exponential, which we saw last time is a periodic function with period . This means that, even worse than the squaring function which in general has two preimages over every point (other than zero), has infinitely many preimages over every point (other than zero). So its inverse, , is going to be a very multivalued function.
More precisely, should be a complex number such that . Let’s write , i.e. and . Then , so since and are real is a positive real number and is a point on the unit circle, so this is a polar form for : and . Hence , a well-defined real number so long as , and , a multivalued function; so
Since is defined up to multiples of , is defined up to multiples of . For example, recall that we chose a principal branch of the argument, with values between and ; we can also define a principal branch of the logarithm
so that we can think of as having values for integers .
Note that this gives a close connection between and , or respectively and : if , then , or . This gives an “analytic”-looking formula for the argument, although it is only of occasional use in practice.
The fact that the complex exponential satisfies the same good properties as the real exponential implies something similar for the logarithm. For example,
(up to this making sense in the first place—we’ll come back to this!).
For example, consider . Since , we have
and the other values of the logarithm are given by shifting by :
Just like for the square root, our definition of depends on the choice of the principal value of the argument , and so when we cross from argument near to argument near —very close to each other in the complex plane, but far apart in argument—there will be a jump discontinuity:
even as . (Again, we could resolve this particular issue by choosing a different branch of the argument, hence of the logarithm, but the same issue will just occur somewhere else.) So we make a branch cut along the negative real axis, so that can be viewed as continuous along this slit plane.
For concreteness, let’s define functions , so . Each of these is naturally defined on a version of the complex plane slit along the negative real axis, which we label as . As with the square root function, we would like to somehow glue these together to get a single surface on which is naturally defined, inverse to the exponential ; but now instead of just gluing two surfaces together, we have infinitely many surfaces! How can we deal with this?
Well, let’s consider what happens when we cross the negative real axis. For the example above, as we have
so the value after crossing the negative real axis in the counterclockwise direction, i.e. as approaches zero from above and then becomes negative, jumps by . In other words, the value of on the negative side of the branch cut matches the value of on the positive side; and correspondingly, the value of on the positive side matches on the negative side, and so on. Thus we should glue the positive edge of to the negative edge of for every . This gives a chain of surfaces glued together in this way, which we can think of as a sort of helix or spiral stairway around the origin. The logarithm can be defined on this whole space : if lives on the th surface , then we set , which can be thought of as keeping track of the “height” of on this stairway together with the usual data of .
Although this is a more complicated shape than the Riemann surface for , we can see that it is still isomorphic to a punctured sphere: indeed, the logarithm function on it defined above gives a map to , i.e. , with inverse given roughly by the exponential: for , if for (satisfied by exactly one ) then we map it to on the th sheet. You might be tempted to guess that something similar will always happen, so that the Riemann surface will always be isomorphic to a sphere with some number of punctures. This is partially true: when it is constructed for the inverse of some function like this to correct multivalued-ness, then the resulting inverse function will give a bijection with the punctured sphere. In general however we can ask for Riemann surfaces for solutions to more general equations: a classic example is something like
Here neither nor is obviously a well-defined function of the other; but it turns out you can still construct a Riemann surface “solving” this equation, i.e. with points corresponding to solutions, so that projection to one factor or the other can be viewed as solving for that variable. This Riemann surface is not isomorphic to a sphere, even with punctures; in fact it is an example of an elliptic curve, a very interesting kind of object with which we will not be otherwise concerned in this course. Generally the Riemann surfaces we see will come from inverting a function like this, but it’s good to keep in mind that this isn’t a general property, and it’s more useful to think of their “natural shape” (like the helix for the logarithm) than the isomorphism with .
2. Power functions
A priori, a function like only makes sense when is a natural number; but it’s straightforward, as in calculus, to extend to at least the case when is a real number. For example, writing in polar coordinates, we can define
For a complex exponent, this is unclear: what would e.g. be? Now that we understand the logarithm though we can make sense of this: for any complex number and , we define
(For , we’ll define for , and leave undefined.) So we’re essentially defining the power operation such that the property
holds: the left-hand side is, by definition, .
Now, recall that is, when understood on the complex numbers, only defined up to adding multiples of . When is an integer, there’s no issue:
so there’s no ambiguity. When is not an integer, though, multiplying it by factors of can change the argument of the result. More precisely, if we replace by the branch , we get
and so is a multivalued function, with values given by for various .
For example, if , is either (if is even) or (if is odd). This gives rise to the two branches of the square root . More generally, for any positive integer is multivalued with possible values, given by multiplying any given choice by the roots of unity . Similarly when is any rational number with denominator (in lowest form), there will be branches.
If is not a rational number, there will in general be infinitely many branches of . Consider for example the expression . This should be given by . Since , the principal value of is ; but it also has infinitely many other values . So has values
Note, by the way, that these are all real numbers! So the principal value of is
quite unexpectedly. But it also has infinitely many other values as ranges; as these tend to , while as they tend to .
Similarly, has infinitely many values. Notice that therefore also has infinitely many values, and so cannot be evaluated as just ! (Though this is its principal value.)
For not an integer, to define unambiguously we again need to introduce a branch cut. For variety, let’s put it along the positive real axis this time, so we’re taking the argument to be . Then we can define a principal branch on this slit plane via
and more generally a branch for each integer by
(though note that if is rational, some of these branches will agree: e.g. for , the branches for even are all the same, as they are for odd).
When we start just above the positive real axis and move along the unit circle to just below the positive real axis—i.e. move from near zero to near —the result changes by a multiple of . This is called the phase factor of . If we rotated around the origin times, we would have to multiply the the phase factor times, i.e. by . When is an integer, the phase factor is , so there is a unique branch; for , the phase factor is , and more generally for rational with denominator in lowest terms the phase factor is a th root of unity.
More generally, we could shift this to be around any fixed point : as travels in a circle in the counterclockwise direction around , the function —after choosing any branch—changes by a factor of , i.e. this is its phase factor. More generally, if is any single-valued function defined near , then the function has phase factor around after choosing any continuous branch.
Next time, we’ll look at some concrete examples, and see how trigonometric and hyperbolic functions and their inverses can also be understood via the complex exponential and logarithm. Time permitting, we’ll also quickly review some notions from analysis that will be useful next week.