Homogenization of Hamilton-Jacobi equations with rough time dependence
Benjamin Seeger

TL;DR
This paper studies the behavior of viscosity solutions to Hamilton-Jacobi equations with oscillatory spatial dependence and rough, possibly stochastic, time dependence, establishing convergence results and exploring diverse behaviors in multi-dimensional cases.
Contribution
It proves convergence of solutions to a stochastic Hamilton-Jacobi equation for one-dimensional rough paths and explores complex behaviors in multi-dimensional cases.
Findings
Solutions converge to a stochastic Hamilton-Jacobi equation in 1D cases.
Multi-dimensional paths can lead to diverging or Brownian-limit behaviors.
Examples demonstrate diverse possible solution behaviors.
Abstract
We consider viscosity solutions of Hamilton-Jacobi equations with oscillatory spatial dependence and rough time dependence. The time dependence is in the form of the derivative of a continuous path that converges to a possibly nowhere-differentiable path, for example a Brownian motion. In the case where the path is one-dimensional, we prove that the solutions converge locally uniformly to the solution of a spatially homogenous, stochastic Hamilton-Jacobi equation in the sense of Lions and Souganidis. We also provide examples of equations in which the path is multi-dimensional, and show that many different behaviors are possible, including diverging to infinity or converging in law to a Brownian motion.
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Taxonomy
TopicsAdvanced Mathematical Modeling in Engineering · Stochastic processes and financial applications · Stochastic processes and statistical mechanics
