Phase transitions

Part of my work concerns the percolative properties of Gaussian fields. A nice (open access) survey of this topic can be found here.

The most fundamental result in this area, is the occurrence of a phase transition. That is, for a given field $f$ (satisfying appropriate assumptions) there is a critical level $\ell_c$ such that with probability one:

The following two graphics illustrate the phase transition for the planar Gaussian field $f$ with covariance function

\[\mathrm{Cov}[f(x),f(y)]=\exp\left(-\frac{\lvert x-y\rvert^2}{2}\right).\]

This model is known as the Bargmann-Fock field and is the scaling limit of a canonical family of random homogeneous polynomials. Further details can be found here.

At each instant, the black points show the lower excursion set $\lbrace f\leq\ell \rbrace$ for a given value of $\ell$. The white and green points show the upper excursion set $\lbrace f > \ell\rbrace$, with one particular component of this highlighted in green. The level $\ell$ decreases over time, so that the upper excursion set becomes larger. Eventually the space is dominated by a single component of this excursion set, representing the phase transition.

Phase transition for Bargmann-Fock field Phase transition for Bargmann-Fock field (large scale)

The left and right graphics show the same phenomenon on different scales. The transition appears to occur more quickly on the right picture

The following two graphics illustrate the phase transition for the Gaussian field with covariance function

\[\mathrm{Cov}[f(x),f(y)]=J_0(\lvert x-y\rvert),\]

where $J_0$ denotes the $0$-th Bessel function. This model is known as the Random Plane Wave and is studied in connection with quantum chaos. See here for further background.

Phase transition for Bargmann-Fock field Phase transition for Bargmann-Fock field (large scale)