Viscosity solutions for obstacle problems on Wasserstein space
Mehdi Talbi, Nizar Touzi, Jianfeng Zhang

TL;DR
This paper extends the characterization of mean field optimal stopping problems on Wasserstein space by establishing a viscosity solution framework under weaker regularity conditions, including existence, stability, and comparison results.
Contribution
It introduces a viscosity solution concept for obstacle problems on Wasserstein space and proves key properties without requiring smoothness of the value function.
Findings
Established a viscosity solution framework for obstacle problems on Wasserstein space.
Proved existence, stability, and comparison principles for the viscosity solutions.
Extended previous characterizations to weaker regularity settings.
Abstract
This paper is a continuation of our accompanying paper [Talbi, Touzi and Zhang (2021)], where we characterized the mean field optimal stopping problem by an obstacle equation on the Wasserstein space of probability measures, provided that the value function is smooth. Our purpose here is to establish this characterization under weaker regularity requirements. We shall define a notion of viscosity solutions for such equation, and prove existence, stability, and comparison principle.
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Taxonomy
TopicsStochastic processes and financial applications · Risk and Portfolio Optimization · Markov Chains and Monte Carlo Methods
