What I Do
Part II: Dancing with the Devil
In which the author, in a very general, yet absurdly roundabout way, tries to explain what his current research is all about. No advanced knowledge of mathematics required (or even recommended).
Contents:
I. Maths and Gods
II. Dancing with the Devil
III. From Heaven to Hell with Exponential Asymptotics
A Review
abel’s hell
“Divergent series are the invention of the devil and it is shameful to base on them any demonstration whatsoever.”
niels abel
Last time, we left off talking about Pi.
We talked about how one can imagine Mother Nature using Pi to all its infinite glory, but for mere mortals like you and I, we have to truncate the number — to its tenth decimal place, hundredth decimal place, or even millionth decimal place.
But however we do it, we still miss infinitely many digits (infinity minus a finite number is still infinity, don’t-cha-know).
This is simply an example of our inability to describe the Universe to its fullest.
For the most part, that’s perfectly fine. But in what circumstance does our inability to capture the true nature of a phenomenon become a problem?
A Hopeless Challenge
Let’s talk oceans.

There are few things more majestic than a ship in water. Captain Ahab knew it. Jack and Rose knew it (well, at least until the end). So should you.
Just imagine it. The sparkling blue waters. The expanse of never-ending ocean. The beautiful wedge-shaped pattern that flows behind every ship, like a streaming cape.
And near the ship: turbulent white-water splashes, jets, and ripples, forming in a million different places with a million different patterns, often too quick and too elaborate for the eye to capture.
The mathematical equations which govern the flow of water in an ocean were known as early back as the 18th century. But for the next century and a bit, scientists were absolutely confounded by the equations.

“What in the world,” they asked together, “Can we do with that?”
The equations, as they stand, are much too complex for a direct analysis. Even today, there is a million dollar prize for anyone who can answer even the most basic questions about these equations.
So with no possibility of exact solutions in sight, the mathematicians and physicists turned to developing methods for approximating solutions.
Asymptotic Approximations
One method, in particular, traces its roots back to the time of Henri Poincare (1854-1912) who developed it in order to solve a rather terrifying problem in celestial mechanics.
The idea is to break up our solution into more manageable chunks. The first chunk describes the system — the ocean, in this case — in some idealized state. To this, we add the second chunk, which includes some kind of perturbation to this initial state. To this, we add a third and even smaller perturbation. And on to infinity.
For example, suppose we were to express the height of the water waves in this fashion,

Here, the greek epsilon, ε represents a small perturbation. It can represent, for example, the Froude number, or the surface tension, or some other small effect.
These sums or series are called asymptotic approximations because they get better and better in the asymptotic limit that ε tends to zero. That’s the idealized state.
The amazing thing with these approximations is that they tend to be very good. So good, in fact, that calculating only one or two chunks provides an excellent approximation to reality in most cases.
This was great. People were happy. We’d at least established some kind of systematic way of approaching these intractable formulae and, with a moderate amount of sweat and tears, they seemed to give excellent results.
The Physicists were happy.
So were the Applied Mathematicians.
The Pure Maths chaps, on the other hand, were incensed.
The Puries and their Partypooper Tendencies

The problem, the Puries were quick to point out, is that these asymptotic approximations are usually divergent.
What that means is that the approximations get better and better as we include more and more terms…but only up to a point. After that point, all hell breaks loose, and the whole thing blows up (to infinity).
Thus in effect, we have taken a system of water waves, perfectly well behaved and all very pretty, and approximated it using an infinite series of terms which, when added up, gives us completely nonsense.
Divergent series are the invention of the devil and it is shameful to base on them any demonstration whatsoever.
The Pure Mathematicians, in all their need for rules and regulations, just weren’t comfortable toying with a concept that was so ill-defined.
But everybody else was all, “Fuggetaboutit. Take a look at all these purty graphs, yo.”

Should We Worry?
By now you’ve hopefully grappled with issue.
Nature in all its magnificence is woefully complicated.
In many cases, it’s so horrendously complicated that its mathematical description needs to be approximated. One such method of approximation involves using a divergent series.
Why do we use them? We use them because they work so nicely.
Despite the denunciations of the mathematician Abel, if the devil did invent divergent series, it was because his creator counterpart chose to build our physical universe so that they are among the more useful ways to describe its finite properties.
Sir Michael Berry and Christopher Howls
So the question becomes, in using these divergent approximations, are we ignoring anything useful? In particular, what is the nature of this divergence? Why does our approximation work so well initially, but behave so badly later on?
What’s the price we pay for dancing with the devil?















