On the density of the supremum of nonlinear SPDEs
Georgia Karali, Alexandra Stavrianidi, Konstantinos Tzirakis, Pavlos Zoubouloglou

TL;DR
This paper proves that the supremum of solutions to certain nonlinear one-dimensional stochastic partial differential equations has a density, using Malliavin calculus and analyzing the argmax set.
Contribution
It introduces a novel application of Malliavin calculus to establish the existence of densities for the supremum of solutions to nonlinear SPDEs, including the stochastic heat and Cahn-Hilliard equations.
Findings
Supremum of the solution admits a density with respect to Lebesgue measure.
Established Hölder continuity properties for the Malliavin derivative of the solution.
Analyzed the argmax set to handle nondegeneracy of the Malliavin derivative.
Abstract
We study the one-dimensional stochastic partial differential equation \begin{equation*} \frac{\partial u}{\partial t}(t,x) = -\kappa \frac{\partial^4 u}{\partial x^4}(t,x) + \rho \frac{\partial^2 u}{\partial x^2}(t,x) + b(u(t,x)) + \sigma(u(t,x))\, \dot W(t,x), \end{equation*} posed on a bounded spatial domain, where is understood in the random field sense and is space-time white noise. Depending on the value of , this equation includes the nonlinear stochastic heat equation with Dirichlet or Neumann boundary conditions, as well as the linearized stochastic Cahn-Hilliard equation with Neumann boundary conditions. We prove that the supremum of the solution admits a density with respect to Lebesgue measure. Our approach is based on Malliavin calculus, and in particular on the version of the Bouleau-Hirsch criterion for suprema developed by Nualart and Vives. One…
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