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Next: References Up: Fluctuations of the Wiener Previous: Moderate deviations

The rate function

A closer analysis of (7-8) reveals a number of surprises. First, the $ a$-dependence can be removed by Brownian scaling. This gives (recall that $ \kappa_a \equiv 2\pi$ for $ d=2$)

$ I_d^{\kappa_a}(b) = \frac{1}{2\kappa_a^{2/d}} \chi_d(b/\kappa_a),
$ (10)

where $ \chi_d \colon (0,\infty) \to [0,\infty)$ is given by

$ \chi_d(u) = \inf \{ \Vert\nabla \psi \Vert _2^2 \colon ~\psi \in H^1(\mathbb{R...
...si\Vert _2 = 1, ~\textstyle\int_{\mathbb{R}^d} (1-e^{-\psi^2}) \leqslant u \}.
$ (11)

Next, the variational problem in (11) displays the dimension dependence shown in Figure 1.

In this figure $ \chi_d$ has an infinite slope at $ u=1$ when $ d \geqslant 3$, showing that the connection with the central limit theorem is anomalous. Moreover, $ \chi_d$ has a non-analyticity at $ u=u_d
\in (0,1)$ when $ d \geqslant 5$, playing the role of a critical threshold.

It turns out that the variational problem in (11) has a minimiser for all $ u \in (0,1)$ when $ 2 \leqslant d \leqslant 4$, but only for $ u \in (0,u_d]$ when $ d \geqslant 5$. The critical threshold $ u_d$ is associated with `leakage' in the variational problem. In terms of the optimal strategy behind the moderate deviations, this leakage is associated with a `collapse transition': the path spends parts of its time on two different space scales.

It is not known whether the minimiser is unique when it exists. This seems to be a tough analytic problem. Very little is known about the moderate deviations in the upward direction, i.e., events $ \{\vert W^a(t)\vert \geqslant bt\}$ with $ b \geqslant 1$. These are expected to behave completely differently.


\begin{picture}(15,8.5)(.5,0)
\par
\put(0,2){
\begin{picture}(6,5)(0,0)
\put(0,...
...6,0){Figure 1. Qualitative picture of $u \mapsto \chi_d(u)$.}
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\end{picture}


next up previous
Next: References Up: Fluctuations of the Wiener Previous: Moderate deviations