[Math] Age of Stochasticity

foundationsmathematical-philosophypr.probabilitysoft-questionstochastic-processes

One user on MSE made an interesting question, which was unanswered so I suggested him to post it here but he refused for personal reasons and said I could ask it here.

The question is this:

Today I came across D. Mumford's 1999
article The Dawning of the Age of
Stochasticity
, which is quite
remarkable even after more than a
decade. The title already indicates
the theme, but I copy the abstract for
the convenience of the reader:

For over two millennia, Aristotle's logic has ruled over the thinking of
western intellectuals. All precise
theories, all scientific models, even
models of process of thinking itself,
have in principle conformed to the
straight-jacket of logic. But from its
shady beginnings devising gambling
strategies and counting corpses in
medieval London, probability theory
and statistical interference now
emerges as better foundations for
scientific models, especially those of
the process of thinking and as
essential ingredients of theoretical
mathematics, even foundation of
mathematics itself. We propose that
this sea change in our perspective
will affect virtually all of
mathematics in the next century.

In the article he proposes a new
approach to mathematical science,
putting random variables and
stochasticity into foundations of
mathematics (rather than building them
upon measure theory), especially in
theory of differential equations and
artificial intelligence.

I am wondering how is this program
going? I know something about
stochastic differential equations from
finance, and I know probability theory
is fundamental to machine learning and
artificial intelligence.

However, it seems to me stochasticity
is still far from the foundations of
mathematics, and much mathematics is
still ruled by logic. Of course as an
undergraduate maybe I am just too far
from the frontier.

So can someone tell me how is this
program going? Is it really some
advantage in this new approach Mumford
proposed?

Thanks very much!

Best Answer

Here's an example of something that I think Mumford might advocate in the foundations of mathematics: Solovay's model.

The axiom of choice is generally accepted by mathematicians, but it has always suffered from the nagging problem that it violates certain intuitions we have. Almost all these counterintuitive consequences of the axiom of choice are related in one way or another to the existence of non-measurable sets. (See this related MO question for more information, in particular Ron Maimon's answer.) Solovay's model shows that we can come close to having our cake and eating it too: We can simultaneously have the axioms "all Lebesgue sets are measurable" and the axiom of dependent choice. The former pretty much eliminates all the probabilistic paradoxes while the latter gives us almost all of the "desirable" consequences of the axiom of choice.

The reason that I think this is the sort of thing Mumford might advocate is that Mumford's discussion of Freiling's theorem shows that he really wants to preserve probabilistic intuition even at the expense of jettisoning a well-accepted axiom. In the paper he suggests getting rid of the power-set axiom, but my guess is he was probably not familiar with Solovay's model at the time, and if he were, he would have been favorably disposed towards it.


EDIT: In particular, in Solovay's model, all the following hold: (1) the axioms of ZF, including powerset; (2) all sets are Lebesgue measurable (which is most of what we need to capture probabilistic intuitions); (3) Freiling's axiom of symmetry; (4) the continuum hypothesis in the form "every uncountable subset of $\mathbb R$ can be put into 1-1 correspondence with $\mathbb R$." The only price one pays is that the axiom of choice has to be weakened to dependent choice. (Thanks to Ali Enayat for pointing this out.) My view is that Freiling's argument shows only that probabilistic intuition is incompatible with full-blown AC (which is something we knew already); the continuum hypothesis is a red herring.
For more information about the practical impact of adopting Solovay's model and some speculation on why it hasn't already been adopted widely, see this MO question and Andreas Blass's answer to this MO question.