Selection principle for Weak KAM solutions on $\mathbb{R}^n$ via large deviation principle for diffusions

Stationary Hamilton-Jacobi equations generally admit many weak KAM solutions. The question is how to select one weak KAM solution that reflects a meaningful physical principle. In this paper, we propose a selection principle for Hamilton-Jacobi equations arising from the large deviation principle of general drift-diffusion processes on $\mathbb{R}^n$ based on the exponential asymptotics of invariant measures. We first characterize the Aubry set as the finitely many equilibria of the drift, using an action estimate from the orthogonal decomposition of the drift. For any boundary data on the Aubry set compatible with the Peierls barrier, we construct the unique coercive weak KAM solution with these boundary data, which is also the maximal locally Lipschitz viscosity solution. The Freidlin-Wentzell graph formula then provides the boundary data on the Aubry set that select the unique weak KAM solution. The selected solution is exactly the rate function in the large deviation principle for invariant measures in the zero noise limit. We also show that this rate function is the vanishing viscosity limit, to which the viscous approximations converge locally uniformly. Finally, under additional regularity assumptions, we show that the long-time and zero-noise limits commute for suitably prepared initial densities.

Authors

Publication Details

Journal
arXiv (Cornell University)
Published
2026-11-02
DOI
https://doi.org/10.48550/arxiv.2611.03292
Primary Topic
Nonlinear Partial Differential Equations
Type
preprint
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preprint

Selection principle for Weak KAM solutions on $\mathbb{R}^n$ via large deviation principle for diffusions

Yuan Gao, Yuxi Han
arXiv (Cornell University)
Nonlinear Partial Differential Equations
preprint

Selection principle for Weak KAM solutions on $\mathbb{R}^n$ via large deviation principle for diffusions

Yuan Gao, Yuxi Han
preprint en

Abstract

Stationary Hamilton-Jacobi equations generally admit many weak KAM solutions. The question is how to select one weak KAM solution that reflects a meaningful physical principle. In this paper, we propose a selection principle for Hamilton-Jacobi equations arising from the large deviation principle of general drift-diffusion processes on $\mathbb{R}^n$ based on the exponential asymptotics of invariant measures. We first characterize the Aubry set as the finitely many equilibria of the drift, using an action estimate from the orthogonal decomposition of the drift. For any boundary data on the Aubry set compatible with the Peierls barrier, we construct the unique coercive weak KAM solution with these boundary data, which is also the maximal locally Lipschitz viscosity solution. The Freidlin-Wentzell graph formula then provides the boundary data on the Aubry set that select the unique weak KAM solution. The selected solution is exactly the rate function in the large deviation principle for invariant measures in the zero noise limit. We also show that this rate function is the vanishing viscosity limit, to which the viscous approximations converge locally uniformly. Finally, under additional regularity assumptions, we show that the long-time and zero-noise limits commute for suitably prepared initial densities.

arXiv (Cornell University)
Nonlinear Partial Differential Equations
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Selection principle for Weak KAM solutions on $\mathbb{R}^n$ via large deviation principle for diffusions — Yuan Gao, Yuxi Han · arXiv (Cornell University) (2026) | TGRS Research Map | TGRS