English

Stochastic homogenization for variational solutions of Hamilton-Jacobi equations

Analysis of PDEs 2025-04-02 v2 Dynamical Systems Probability Symplectic Geometry

Abstract

Let (Ω,μ)(\Omega, \mu) be a probability space endowed with an ergodic action, τ\tau of (Rn,+)( {\mathbb R} ^n, +). Let H(x,p;ω)=Hω(x,p)H(x,p; \omega)=H_\omega(x,p) be a smooth Hamiltonian on TRnT^* {\mathbb R} ^n parametrized by ωΩ\omega\in \Omega and such that H(a+x,p;τaω)=H(x,p;ω) H(a+x,p;\tau_a\omega)=H(x,p;\omega). We consider for an initial condition fC0(Rn)f\in C^0 ( {\mathbb R}^n), the family of variational solutions of the stochastic Hamilton-Jacobi equations {uεt(t,x;ω)+H(xε,uεx(t,x;ω);ω)=0uε(0,x;ω)=f(x)\left\{ \begin{aligned} \frac{\partial u^{ \varepsilon }}{\partial t}(t,x;\omega)+H\left (\frac{x}{ \varepsilon } , \frac{\partial u^\varepsilon }{\partial x}(t,x;\omega);\omega \right )=0 &\\ u^\varepsilon (0,x;\omega)=f(x)& \end{aligned} \right . Under some coercivity assumptions on pp -- but without any convexity assumption -- we prove that for a.e. ωΩ\omega \in \Omega we have C0limuε(t,x;ω)=v(t,x)C^0-\lim u^{\varepsilon}(t,x;\omega)=v(t,x) where vv is the variational solution of the homogenized equation {vt(x)+H(vx(x))=0v(0,x)=f(x)\left\{ \begin{aligned} \frac{\partial v}{\partial t}(x)+{\overline H}\left (\frac{\partial v }{\partial x}(x) \right )=0 &\\ v (0,x)=f(x)& \end{aligned} \right.

Keywords

Cite

@article{arxiv.2105.04445,
  title  = {Stochastic homogenization for variational solutions of Hamilton-Jacobi equations},
  author = {Claude Viterbo},
  journal= {arXiv preprint arXiv:2105.04445},
  year   = {2025}
}

Comments

56 pages, 3 figures