Non-linear PDE Approach to Time-Inconsistent Optimal Stopping

TL;DR

This paper introduces a new PDE-based method to solve time-inconsistent optimal stopping problems by transforming them into standard stochastic control problems and characterizing solutions via viscosity solutions of non-linear elliptic PDEs.

Contribution

It proposes a novel PDE approach that reduces complex time-inconsistent stopping problems to standard control problems and characterizes solutions through viscosity solutions.

Findings

Auxiliary value function is the unique viscosity solution of a non-linear elliptic PDE.

Constructs optimal stopping times under regularity assumptions.

Discusses extensions to general dynamics and connections to Monge-Ampere equations.

Abstract

We present a novel method for solving a class of time-inconsistent optimal stopping problems by reducing them to a family of standard stochastic optimal control problems. In particular, we convert an optimal stopping problem with a non-linear function of the expected stopping time in the objective into optimization over an auxiliary value function for a standard stochastic control problem with an additional state variable. This approach differs from the previous literature which primarily employs Lagrange multiplier methods or relies on exact solutions. In contrast, we characterize the auxiliary value function as the unique viscosity solution of a non-linear elliptic PDE which satisfies certain growth constraints and investigate basic regularity properties. We demonstrate the construction of an optimal stopping time under additional regularity assumptions on the auxiliary value function. Finally, we discuss extensions to more general dynamics and time-inconsistencies, as well as potential connections to degenerate Monge-Ampere equations.