Concentration around a stable equilibrium for the non-autonomous $\Phi_3^4$ model
Dimitri Faure

TL;DR
This paper studies time-dependent singular stochastic PDEs on a 3D torus, demonstrating concentration around a stable equilibrium with Gaussian tail bounds using paracontrolled distributions.
Contribution
It extends the analysis of the model to non-autonomous cases and establishes concentration results with Gaussian tail bounds.
Findings
Solutions concentrate around a stable equilibrium
Gaussian tail bounds are established for solutions
Extension to non-autonomous models
Abstract
We consider time-dependent singular stochastic partial differential equations on the three-dimensional torus. These equations are only well-posed after one adds renormalization terms. In order to construct a well-defined notion of solution, one should put the equation in a more general setting. In this article, we consider the paradigm of paracontrolled distributions, and get concentration results around a stable deterministic equilibrium for solutions of non-autonomous generalizations of the model. Specifically, we obtain Gaussian-type tail bounds.
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
TopicsTheoretical and Computational Physics · advanced mathematical theories · Stochastic processes and statistical mechanics
