In a moment, mathematicians merge probability and number theory
quantamagazine.org
quantamagazine.org
> The moment problem in probability theory asks for criteria for when there exists a unique measure with a given tuple of moments. We study a variant of this problem for random objects in a category, where a moment is given by the average number of epimorphisms to a fixed object.
So the work is about category theory. The confusion comes in because the Quanta article focuses on what is expected to be the most important application of the work, which is in the study of ideal class groups from number theory. That is, the authors will try to (but have not yet) use their theory on the category of groups in order to make progress on the Cohen-Lenstra heuristics.
I'm not qualified to judge the significance of their work here since all of the math goes over my head. Taking the authors' words,
> This is a significant advance, as previous work has always relied on a priori knowing a distribution with certain moments. Being able to construct a distribution from its moments opens new avenues such as in our subsequent paper mentioned above
I guess we will find out if/when their subsequent paper on the Cohen-Lenstra heuristics comes out.
It feels like Quanta just takes press releases from a few big departments and asks a writer to get a few quotes to flesh out an article.
When it says "Mathematicians are taking ideas developed to study random numbers and applying them to a broad range of categories" I'm pretty sure it means category in the non-technical sense, category as in classifying into categories. The term doesn't appear again in the article.
"In a Moment, Mathematicians Merge Probability and Number Theory" - I really expected some deep connections between Probability and Number Theory.
I do not like the quanta magazine title as well. "Probability and Number Theory Collide — in a Moment"
Guess it should be funny, I would call it "bemüht" (german).
This is a bit like the recent news about the “ML discovered a new fast matrix multiplication” press push out of Google, where researchers in the field just sort of rolled their eyes.
Are you suggesting that this need to solve the moment problem all over again could have been avoided by searching Category Theory developments?
The use of moments as a method for understanding probability distributions isn't particularly new. What is new, is the introduction and adaptation of this framework for trying to understand the Cohen-Lenstra heuristics -- a smaller-scope problem in number theory that has seen a lot of attention recently.
The people quoted are among the world's leading experts in this topic, and I would say that Melanie Wood is the foremost expert. This is definitely novel.
The two authors are no slouches... I certainly wouldn't roll my eyes at them.
(I'm a specialist in this area of number theory)
This is correct. The word "category" is being used in its colloquial English sense; this is not work on category theory.
[Edit: I'm mistaken in the above point; see comment below]