Percolation of random nodal lines
Percolation of random nodal lines
复制标题
随机节点线的渗透
DOI:
10.1007/s10240-017-0093-0
复制
发表时间:
2016
期刊:
影响因子:
--
通讯作者:
D. Gayet
中科院分区:
文献类型:
--
作者:
V. Beffara;D. Gayet
We prove a Russo-Seymour-Welsh 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$U$ be a smooth connected bounded open set in R2$\mathbf{R}^{2}$ and γ,γ′$\gamma, \gamma '$ two disjoint arcs of positive length in the boundary of U$U$. We prove that there exists a positive constant c$c$, such that for any positive scale s$s$, with probability at least c$c$ there exists a connected component of the set {x∈U¯,f(sx)>0}$\{x\in \smash{\bar{U}},\ f(sx) > 0\} $ intersecting both γ$\gamma $ and γ′$\gamma '$, where f$f$ is a random analytic function in the Wiener space associated to the real Bargmann-Fock space. For s$s$ large enough, the same conclusion holds for the zero set {x∈U¯,f(sx)=0}$\{x\in \smash{\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.
影响因子:
2.4
作者:
Beliaev D
通讯作者:
Beliaev D