Percolation of random nodal lines
Résumé
We prove a Russo-Seymour-Welsch percolation theorem for nodal domains and nodal lines
associated to
a natural infinite dimensional space of real analytic functions on the real plane. More precisely, let
$U$ be a smooth connected bounded open set in $\mathbb R^2$ and
$\gamma, \gamma'$ two disjoint arcs of positive length in the
boundary of $U$. We prove that there exists a positive constant
$c$, such that for any positive scale $s$, with probability at
least $c$ there exists a connected component of
$\{x\in \bar U, \, f(sx) > 0\} $ intersecting both $\gamma$ and
$\gamma'$, where $f$ is a random analytic function in the Wiener
space associated to the real Bargmann-Fock space. For $s$ large enough,
the same conclusion holds for the zero set $\{x\in \bar U, \, f(sx) = 0\} $. As an important intermediate result, we prove that sign percolation for a general stationary Gaussian field can be made equivalent to a correlated percolation model on a lattice.
Domaines
Probabilités [math.PR]Origine | Fichiers produits par l'(les) auteur(s) |
---|