A finite difference approach to the infinity Laplace equation and tug-of-war games
Scott N. Armstrong, Charles K. Smart

TL;DR
This paper introduces a modified tug-of-war game and analyzes its value functions, establishing their convergence to solutions of the infinity Laplace equation and providing new existence and uniqueness results for these solutions.
Contribution
It develops a finite difference approach to the infinity Laplace equation via a modified tug-of-war game, proving new existence, uniqueness, and stability results.
Findings
Unique maximal and minimal solutions for the finite difference equation.
Convergence of value functions to viscosity solutions of the infinity Laplace equation.
Existence and uniqueness of solutions for the Dirichlet problem with various payoff functions.
Abstract
We present a modified version of the two-player "tug-of-war" game introduced by Peres, Schramm, Sheffield, and Wilson. This new tug-of-war game is identical to the original except near the boundary of the domain , but its associated value functions are more regular. The dynamic programming principle implies that the value functions satisfy a certain finite difference equation. By studying this difference equation directly and adapting techniques from viscosity solution theory, we prove a number of new results. We show that the finite difference equation has unique maximal and minimal solutions, which are identified as the value functions for the two tug-of-war players. We demonstrate uniqueness, and hence the existence of a value for the game, in the case that the running payoff function is nonnegative. We also show that uniqueness holds in certain cases for…
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.
Taxonomy
TopicsEconomic theories and models · Game Theory and Voting Systems · Nonlinear Partial Differential Equations
