Universal Measures
Posted by Tom Leinster
There is much that is odd about motivic measure if it is judged by measure theory in the sense of twentieth century analysis […] The first peculiarity is that the measure is not real-valued.
—Thomas Hales, What is motivic measure?, Bulletin of the AMS 42 (2005), 119–135.
This post isn’t about motivic measure, though you should definitely take a look at Hales’s excellent article (especially to find out what the second peculiarity is). This post will, however, share something of the spirit of motivic measure, including a flexible attitude towards where measure takes its values.
Suppose that we have some set, and a collection of “subsets” that we want to be able to “measure”. I’ll keep this very vague and general for the moment, though when I make it precise it genuinely will be quite general. The word “measure” isn’t used here with its standard meaning: we’re just assigning a “quantity” to each of our sets in some plausible way.
The crucial point is that whatever “quantity” means, it needn’t mean “real number”. And all I ask of a “measure” is that it satisfies the inclusion-exclusion principle: whenever and are sets for which this makes sense.
What is the universal way to measure a collection of sets?
I’ll answer that question, but first it needs making precise.
What kind of thing are the “quantities”? The inclusion-exclusion equation is an equation between two quantities, and involves only addition and subtraction, so all we need to ask of quantities is that they form an abelian group.
What kind of thing are the “sets”? The inclusion-exclusion equation involves unions and intersections of the sets concerned. For that to make any kind of sense, these “sets” had better all be subsets of one big set , say. So we’ve got a distinguished collection of subsets of , and each is supposed to be an element of . Here should make you think of “measurable”.
More exactly, the equation involves one union and lots of intersections. It’s going to be a real pain if the collection of measurable sets isn’t closed under intersection, so let’s assume that it is. But we won’t assume that it’s closed under union: we just ask that the equation holds if (and, of course, for each ).
A good example to keep in mind is this: is the set of compact convex subsets of (counting as convex). This is closed under binary intersection, but not union.
In other examples, might be closed under finite union. Then the inclusion-exclusion principle reduces to the cases and . The usual terminology then is that is a valuation.
Aside You could formulate it more generally, taking to be an abstract poset — not necessarily one represented as a sub-poset of . In that generality, I don’t know what the universal measure is.
Fix a set and a collection of subsets of , closed under binary intersection.
With apologies for abusing an already-abused word, I’ll make the following definition.
Definition A measure on is a pair where is an abelian group (of “quantities”) and is a function satisfying the inclusion-exclusion principle:
whenever and with .
For example, if and is the set of compact convex subsets, then there is a measure on .
There’s an obvious notion of map of measures: a map is a homomorphism such that . So there’s a category of measures on . Let’s call it .
Here’s the formal version of the question I originally posed, “what is the universal measure?”:
What is the initial object of ?
The answer can be found in a result called Groemer’s integral theorem. Actually, I don’t know how widely it’s called that. It’s the name used by Klain and Rota in their book (page 9), but I suspect they coined it. The original result of Helmut Groemer —
— was about convex sets. Klain and Rota gave a more general lattice-theoretic formulation. The current formulation as a universal property is new, as far as I’m aware.
In a slogan, the answer is:
The universal measure is indication.
And while I’m sloganeering:
The universal property asserts that simple functions can be integrated.
Let me explain those cryptic utterances.
Every subset of our big set has an indicator function, or characteristic function, . It takes value inside and outside . A function is simple if it’s a finite -linear combination of indicator functions of measurable sets:
(, ). The simple functions form an abelian group under addition.
Every measurable set has an associated indicator function , and this process — which I facetiously called “indication” — defines a map
It’s easy to see that satisfies the inclusion-exclusion principle. For example, the case is that
So is a measure on .
Theorem (Groemer) The initial object of is .
Let’s unwind this universal property and see what it says. By definition of the category , it says that whenever is an abelian group and satisfies the inclusion-exclusion principle, there is a unique homomorphism such that :
But the commutativity of this diagram just says that for any measurable set , we have
What usually turns the indicator function of a set into the measure of that set? Integration! So we should write as . Then the diagram asserts that
for all .
Since every simple function is a -linear combination of indicator functions, and since is supposed to be a -linear map, the uniqueness part of the universal property is not in question. The substantial part is existence. What we have to prove here is that the integral of a simple function can be defined consistently by
In other words, if we represent a simple function as a linear combination of indicator functions in two different ways, we get the same answer for the integral. Proving that is going to depend on having some nice property; and that nice property turns out to be exactly the inclusion-exclusion principle.
There’s a more general result, too. All of the above was in a stripped-down world where quantities are only assumed to form an abelian group. In other words, we worked over . But everything works over an arbitrary ring . Then an object of is a pair where is a -module and is exactly as before; a simple function is a -linear combination of indicator functions; and so on. It all works.
The traditional choice is , so that we’re integrating real-valued functions. But the proof of Groemer’s theorem uses nothing about beyond that it’s a ring.
Re: Universal Measures
Very nice!
I don’t suppose it helps that by the Yoneda lemma, every poset is isomorphic to a sub-poset of — namely the sub-poset consisting of the “principal ideals” (= representable functors) . I guess the problem is that the Yoneda embedding doesn’t preserve unions. Makes me feel like there’s some sheafy sort of thing that wants to be going on.