Stochastic approach for a multivalued Dirichlet-Neumann problem
Lucian Maticiuc, Aurel Rascanu

TL;DR
This paper establishes the existence and uniqueness of viscosity solutions for a complex parabolic variational inequality with nonlinear multivalued boundary conditions, using a stochastic representation via backward stochastic variational inequalities.
Contribution
It introduces a stochastic approach to solve a multivalued Dirichlet-Neumann problem, extending the theory of viscosity solutions with a novel Feynman-Kac representation.
Findings
Proved existence and uniqueness of solutions.
Developed a stochastic representation formula.
Extended variational inequality theory.
Abstract
We prove the existence and uniqueness of a viscosity solution of the parabolic variational inequality with a nonlinear multivalued Neumann-Dirichlet boundary condition:% {equation*} \{{array}{r} \dfrac{\partial u(t,x)}{\partial t}-\mathcal{L}_{t}u(t,x) {+}{% \partial \phi}\big(u(t,x)\big)\ni f\big(t,x,u(t,x),(\nabla u\sigma)(t,x)\big), t>0, x\in \mathcal{D},\medskip \multicolumn{1}{l}{\dfrac{\partial u(t,x)}{\partial n}+{\partial \psi}\big(% u(t,x)\big)\ni g\big(t,x,u(t,x)\big), t>0, x\in Bd(\mathcal{D}%),\multicolumn{1}{l}{u(0,x)=h(x), x\in \bar{\mathcal{D}},}% {array}%. {equation*}% where and are subdifferentials operators and is a second differential operator. The result is obtained by a Feynman-Ka\c{c} representation formula starting from the backward stochastic variational inequality:% {equation*} \{{array}{l}…
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.
