Fractal behavior for nodal lines of smooth planar Gaussian fields at criticality
David Vernotte (IF)

TL;DR
This paper investigates the fractal geometry of nodal lines in planar Gaussian fields at criticality, establishing bounds on their length and demonstrating their fractal nature using probabilistic and geometric methods.
Contribution
It proves bounds on the length of macroscopic nodal lines at criticality and shows their fractal behavior, extending understanding of Gaussian field geometry.
Findings
Nodal lines have length at least λ^{s_1} with high probability
Shortest crossing lines are non-degenerate, at most λ^{s_2} in length
Nodal lines exhibit fractal behavior at criticality
Abstract
This paper is devoted to the study of the large scale geometry of the excursion set and nodal set of a planar smooth Gaussian field at criticality . We prove that there exists such that with high probability, macroscopic nodal lines in a box of size are of length at least . As an application, on the event that a box is crossed by a nodal line, then the shortest crossing is of length at least . We also prove that there exists such that with high probability, the shortest crossing is non degenerated, that is, its length is at most . The argument for the lower bound is based on a celebrated paper of Aizenman and Burchard [1] that provides a general argument to show that random curves present a fractal behavior. For the upper bound, our proof relies on the polynomial decay of the probability of one-arm…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsGeometry and complex manifolds · Geometric Analysis and Curvature Flows · Stochastic processes and financial applications
