The Allen-Cahn equation with generic initial datum
Martin Hairer, Khoa L\^e, Tommaso Rosati

TL;DR
This paper studies the Allen-Cahn equation with random initial data, showing that under certain conditions, the evolving fronts resemble nodal sets of a Gaussian field and follow mean curvature flow.
Contribution
It demonstrates that for the Allen-Cahn equation with Gaussian initial conditions, the resulting interfaces are described by Gaussian field nodal sets and evolve via mean curvature flow, linking stochastic initial data to geometric evolution.
Findings
Fronts are described by nodal sets of the Bargmann-Fock Gaussian field.
The interfaces evolve according to mean curvature flow.
The results hold when the initial amplitude is not too large.
Abstract
We consider the Allen-Cahn equation with a rapidly mixing Gaussian field as initial condition. We show that provided that the amplitude of the initial condition is not too large, the equation generates fronts described by nodal sets of the Bargmann-Fock Gaussian field, which then evolve according to mean curvature flow.
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
TopicsStochastic processes and statistical mechanics · Geometry and complex manifolds · Geometric Analysis and Curvature Flows
